10min Rapid fundamentals report
10-minute rapid games, graded against 10-minute rapid Lichess.org benchmark curves. Your main score and metric values are weighted so recent games count most heavily.
Quick Grade Table Actual Elo = 757
Opening Discipline 1175 10% weight
| Metric | Your number | Wins | Losses | Last 10 | Grade | Last 10 grade | Status iCheck mark - goal achieved, Green UP Arrow improving, Down Red arrow - deteriorating. |
|---|---|---|---|---|---|---|---|
| Minor pieces (knights and bishops) developed by move 10 i Minor pieces means your knights and bishops. This counts how many of your four minor pieces are developed by your 10th move. | 3.3 | 3.2 | 3.3 | 3.3 | 1300+ | 1300+ | ✓ |
| Repeated piece moves in opening i Average number of extra early moves spent moving the same piece again instead of developing. | 0.5 | 0.5 | 0.4 | 0.5 | 1300+ | 1300+ | ✓ |
| Queen touched before move 10 i Average number of queen moves you make before move 10. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 0.4 | 0.5 | 0.4 | 0.5 | 1300+ | 1300+ | ✓ |
| Queenside bishop fianchettoed i Percent of games where your queenside bishop reaches the side-aware fianchetto square: b2 as White or b7 as Black. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 35.8% | 35.8% | 45.2% | 40.0% | 1300+ | 1300+ | ✓ |
| Kingside bishop fianchettoed i Percent of games where your kingside bishop reaches the side-aware fianchetto square: g2 as White or g7 as Black. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 81.1% | 79.0% | 84.4% | 70.0% | 1300+ | 1300+ | ✓ |
| Either bishop fianchettoed i Percent of games where either bishop reaches a side-aware fianchetto square. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 86.1% | 84.9% | 84.8% | 80.0% | 1300+ | 1300+ | ✓ |
| Both bishops fianchettoed i Percent of games where both bishops occupy their side-aware fianchetto squares at the same time at least once. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 28.8% | 26.2% | 39.2% | 30.0% | 1300+ | 1300+ | ✓ |
| First enemy territory move num i The average move number when one of your pieces first enters the opponent's half of the board. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 10.545 | 9.792 | 11.164 | 9.700 | 1300+ | 1300+ | ✓ |
| % games castled kingside i Percent of games where you castle kingside: White to g1 or Black to g8. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 50.7% | 65.6% | 35.4% | 50.0% | 800 | 750 | ↓ |
| % games castled queenside i Percent of games where you castle queenside: White to c1 or Black to c8. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 20.5% | 20.4% | 11.9% | 30.0% | 1300+ | 1300+ | ✓ |
| Castled by move 10 i Percent of games where you have castled by the end of your 10th move. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 26.2% | 28.4% | 24.7% | 20.0% | 450 | 250 | ↓ |
| Rooks connected immediately after castling i Whether your rooks become connected on the board immediately after your castling move. | 30.0% | 31.7% | 24.6% | 37.5% | 1300+ | 1300+ | ✓ |
| Own rooks on open files immediately after castling i Number of your rooks on open files immediately after your castling move. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 0.049 | 0.072 | 0.065 | 0.000 | 1300+ | 250 | ↓ |
| Own rooks on half-open files immediately after castling i Number of your rooks on half-open files immediately after your castling move. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 0.062 | 0.052 | 0.108 | 0.000 | 1300+ | 250 | ↓ |
| Center attack before castling i How often you open or attack the center before castling. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 21.5% | 16.1% | 23.9% | 30.0% | 250 | 250 | ↓ |
| Center control by move 10 i How many of the 4 center squares (d4, e4, d5, e5) your pieces or pawns can attack after your 10th move. This measures influence, not whether you occupy those squares. | 3.1 | 3.0 | 3.1 | 3.2 | 1200 | 1300+ | ✓ |
| Center pawns occupied by move 10 i Center pawns means White pawns on d4/e4 or Black pawns on d5/e5. By move 10 means the last position reached by or before your 10th move. | 0.7 | 0.6 | 0.7 | 0.7 | 1300+ | 1300+ | ✓ |
| % games allowed opponent to take rook with bishop on starting square i Percent of games where the opponent captured one of your unmoved corner rooks with a bishop. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 7.7% | 4.7% | 9.8% | 10.0% | 250 | 250 | ↓ |
| Bishop took opponent rook on its starting square percentile i Percentile rank for bishop took opponent rook on its starting square compared with players in the same Elo bucket. Percent of games where one of your corner rooks was captured by a bishop before that rook ever left its starting square. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 97% i Note this value is different in nature than the number immediately above for similar opponent based metric. At higher Elo levels players give up their rooks to bishops less frequently than lower rated players. If you're good at this tactic you should not be graded lower as a result. To address this we report this metric and similar metrics using your percentile rank of doing this relative to peers in same elo range. Higher percentile rank scores are always considered better. | 97% | 97% | 97% | Excellent | Excellent | - |
Piece Coordination & Activity 1100 30% weight
| Metric | Your number | Wins | Losses | Last 10 | Grade | Last 10 grade | Status iCheck mark - goal achieved, Green UP Arrow improving, Down Red arrow - deteriorating. |
|---|---|---|---|---|---|---|---|
| % games rooks connected i Connected rooks means your two rooks share a rank or file with no pieces between them at some point in the game. | 79.4% | 84.1% | 52.9% | 100.0% | 1300+ | 1300+ | ✓ |
| Avg enemy territory queen count after 10 i Average number of your queen positions in the opponent's half of the board after move 10. High values usually mean early queen activity or queen overextension. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.133 | 0.176 | 0.078 | 0.153 | 1250 | 1000 | ↓ |
| Avg enemy territory major piece count after 10 i Average number of your queens and rooks in the opponent's half of the board after move 10. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.301 | 0.378 | 0.190 | 0.401 | 600 | 250 | ↓ |
| Avg enemy territory minor piece count after 10 i Average number of your knights and bishops in the opponent's half of the board after move 10. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.270 | 0.286 | 0.256 | 0.350 | 1300+ | 1050 | ↓ |
| First major piece enemy territory ply i The first ply when one of your queens or rooks enters the opponent's half of the board. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 36.892 | 39.872 | 37.036 | 31.500 | 1000 | 550 | ↓ |
| First minor piece enemy territory ply i The first ply when one of your knights or bishops enters the opponent's half of the board. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 26.857 | 28.312 | 22.377 | 23.700 | 1300+ | 1300+ | ✓ |
| Max enemy territory piece count after 10 i The maximum number of your non-king pieces simultaneously placed in the opponent's half of the board after move 10. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 2.189 | 2.436 | 1.894 | 2.300 | 1300+ | 1300+ | ✓ |
| Knight blocks passed pawn plies i How often your knight sits immediately in front of an enemy passed pawn. | 0.0 | 0.0 | 0.0 | 0.0 | 250 | 250 | - |
| Rook time doubled on a file i Doubled rooks means both rooks stacked on the same file. This number measures how often that setup appears, not the percent of games where it happens. | 0.4 | 0.7 | 0.1 | 0.4 | 800 | 750 | - |
| Rook time on 7th row i This is not a percent. A value like 0.4 means that, on average, your rook reaches and stays on the 7th row for less than one tracked board state per game. | 2.6 | 2.4 | 2.1 | 4.8 | 1300+ | 1300+ | ✓ |
| Rook time on half-open files i Half-open file means a file with no pawn of your own on it, but at least one opponent pawn still present. The number shows how often your rooks spend time there. | 3.5 | 3.0 | 3.9 | 3.5 | 600 | 600 | - |
| Rook time on open files i Open file means a file with no pawns on it. The number is not a percent; it is how often your rooks spend time on open files during a game. | 8.6 | 8.2 | 7.7 | 11.4 | 1300+ | 1300+ | ✓ |
| Time with bishop pair i This measures how long you keep both bishops in a game. Higher means you retain the bishop pair for more of the game. | 17.8 | 18.9 | 15.7 | 16.7 | 1300+ | 1300+ | ✓ |
| Enemy territory capture count i Average number of captures you make in the opponent's half of the board. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 4.91 | 5.26 | 3.62 | 6.10 | 1300+ | 1300+ | ✓ |
| Enemy territory move rate i Share of your non-king moves that place a piece in the opponent's half of the board. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 29.3% | 32.7% | 21.4% | 34.7% | 1250 | 250 | ↓ |
| Your minor pieces captured on starting square i Average number of your knights and bishops captured before they moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.068 | 0.061 | 0.024 | 0.100 | 500 | 250 | ↓ |
| Your pieces captured on starting square i Average number of your non-pawn pieces captured before they moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 1.003 | 0.445 | 1.433 | 1.200 | 500 | 250 | ↓ |
| Capturing opponent minor pieces on starting square own percentile i Percentile rank for capturing opponent minor pieces on starting square compared with players in the same Elo bucket. Average number of opponent knights and bishops you captured before they moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 92% | 92% | 93% | 92% | Excellent | Excellent | - |
| Capturing opponent pieces on starting square own percentile i Percentile rank for capturing opponent pieces on starting square compared with players in the same Elo bucket. Average number of opponent non-pawn pieces you captured before they moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 66% | 67% | 58% | 72% | Above average | Well above average | ↑ |
Material & Conversion 800 15% weight
| Metric | Your number | Wins | Losses | Last 10 | Grade | Last 10 grade | Status iCheck mark - goal achieved, Green UP Arrow improving, Down Red arrow - deteriorating. |
|---|---|---|---|---|---|---|---|
| Failed to win after material lead i How often a material lead fails to become a win. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 15.6% | 0.0% | 25.1% | 20.0% | 700 | 250 | ↓ |
| Material advantage blown i How often you fail to keep a significant material lead. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 9.1% | 0.1% | 22.8% | 10.0% | 950 | 600 | ↓ |
| Equal piece trades while ahead i How often you complete equal-piece trades while already ahead in material. | 0.6 | 1.0 | 0.4 | 0.5 | 700 | 300 | ↓ |
| Bishop/knight trade count i How often your games include completed bishop-for-knight or knight-for-bishop exchanges. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 0.3 | 0.4 | 0.2 | 0.3 | 700 | 700 | - |
| Opponent up queen or more i Percent of games where the opponent was ever ahead by at least queen value in material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 16.7% | 4.1% | 33.1% | 10.0% | 650 | 1100 | ↑ |
| Opponent up piece or more i Percent of games where the opponent was ever ahead by at least a minor piece of material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 52.0% | 24.4% | 83.5% | 50.0% | 250 | 250 | ↑ |
| Opponent up rook or more i Percent of games where the opponent was ever ahead by at least rook value in material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 33.2% | 10.0% | 63.9% | 20.0% | 450 | 1300+ | ✓ |
| Up piece or more own percentile i Percentile rank for up piece or more compared with players in the same Elo bucket. Up piece or more measured from the player-game feature table. | 73% | 81% | 60% | 79% | Well above average | Well above average | ↑ |
| Up rook or more own percentile i Percentile rank for up rook or more compared with players in the same Elo bucket. Up rook or more measured from the player-game feature table. | 73% | 80% | 63% | 75% | Well above average | Well above average | ↑ |
Tactical Awareness 925 25% weight
| Metric | Your number | Wins | Losses | Last 10 | Grade | Last 10 grade | Status iCheck mark - goal achieved, Green UP Arrow improving, Down Red arrow - deteriorating. |
|---|---|---|---|---|---|---|---|
| Hung pawn exposure rate i Share of eligible non-capture move states where one of your pawns was profitably capturable by legal exchange. | 16.9% | 13.4% | 22.4% | 15.2% | 500 | 750 | ↑ |
| % games with hanging knight exposure i Percent of games where you left a knight profitably capturable on the next move without already winning equal-or-greater material yourself. | 62.2% | 35.2% | 76.2% | 70.0% | 250 | 250 | ↓ |
| % games with hanging bishop exposure i Percent of games where you left a bishop profitably capturable on the next move without already winning equal-or-greater material yourself. | 41.8% | 31.9% | 58.3% | 30.0% | 1300+ | 1300+ | ✓ |
| % games with hanging rook exposure i Percent of games where you left a rook profitably capturable on the next move without already winning equal-or-greater material yourself. | 46.7% | 32.8% | 58.9% | 50.0% | 250 | 250 | ↓ |
| % games with hanging queen exposure i Percent of games where you left your queen profitably capturable on the next move without already winning equal-or-greater material yourself. | 17.3% | 12.1% | 33.9% | 10.0% | 1250 | 1300+ | ✓ |
| Own loose piece ratio with queens on board i Share of your non-king piece positions that are undefended while queens remain on the board. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 18.9% | 19.0% | 18.2% | 19.6% | 1300+ | 1300+ | ✓ |
| Own loose piece ratio with queens off board i Share of your non-king piece positions that are undefended after queens are off the board. | 44.2% | 40.9% | 48.1% | 38.2% | 500 | 1300 | ↑ |
| Knight rim move percent i Share of your knight moves that end on the rim: file a/h or rank 1/8. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 8.4% | 6.3% | 9.5% | 7.9% | 1100 | 1200 | ↑ |
| Allowed queen capture on starting square i Percent of games where your queen was captured before it moved from its starting square. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 8.4% | 0.1% | 18.2% | 10.0% | 250 | 250 | ↓ |
| Forks suffered i Percent of games where the opponent executed a non-trivial fork against you that added real pressure to move and/or cost material under the tightened fork definition. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 2.5% | 1.1% | 5.1% | 1.8% | 1100 | 1300+ | ✓ |
| Winning forks by opponent allowed i How often opponents convert played forks into material gain against you. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 1.3% | 0.3% | 2.3% | 1.3% | 600 | 550 | - |
| Winning forks involving pawns by opponent allowed i Percent of moves where the opponent executed a winning fork against you involving at least one pawn target or pawn attacker. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 1.0% | 0.2% | 1.9% | 0.9% | 450 | 650 | ↑ |
| Material-gain skewers not involving pawns suffered i Percent of games where the opponent executed a material-gain skewer against you and the key targets did not involve ordinary pawns. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.1% | 0.0% | 0.2% | 0.2% | 800 | 250 | ↓ |
| Material-gain skewers by opponent allowed i Percent of games where the opponent executed a skewer against you that won material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.1% | 0.0% | 0.3% | 0.2% | 1300+ | 750 | ↓ |
| Skewer exposure allowed i How often your moves leave a skewer available to the opponent. | 4.7% | 3.7% | 5.3% | 4.8% | 950 | 800 | ↓ |
| Pin exposure allowed i How often your moves leave a pin available to the opponent. | 34.3% | 34.7% | 37.5% | 34.6% | 1300+ | 1300+ | ✓ |
| Immobilizing pins by opponent allowed i Percent of games where the opponent created a valid immobilizing pin against you. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 3.0% | 3.2% | 2.8% | 3.4% | 1050 | 400 | ↓ |
| Captured opponent queen on its starting square percentile i Percentile rank for captured opponent queen on its starting square compared with players in the same Elo bucket. Average number of opponent queens you captured before that queen moved from its starting square. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 95% | 95% | 95% | 95% | Excellent | Excellent | - |
| Opponent loose pieces with queens on board percentile i Percentile rank for opponent loose piece ratio with queens on board compared with players in the same Elo bucket. Share of opponent non-king piece positions that are undefended while queens remain on the board. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 33% | 42% | 31% | 30% | Below average | Well below average | ↓ |
| Opponent loose pieces with queens off board percentile i Percentile rank for opponent loose piece ratio with queens off board compared with players in the same Elo bucket. Share of opponent non-king piece positions that are undefended after queens are off the board. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 38% | 39% | 41% | 33% | Below average | Below average | ↓ |
| Forks executed own percentile i Percentile rank for forks executed compared with players in the same Elo bucket. Percent of games where you played a meaningful fork pattern. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 58% | 61% | 56% | 58% | Above average | Above average | - |
| Winning forks executed percentile i Percentile rank for winning forks executed compared with players in the same Elo bucket. How often your played forks actually convert into material gain. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 4% | 8% | 3% | 4% | Well below average | Well below average | - |
| Winning forks involving pawns executed percentile i Percentile rank for winning forks involving pawns compared with players in the same Elo bucket. Percent of games where you executed a winning fork involving at least one pawn target or pawn attacker. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 2% | 5% | 3% | 0% | Well below average | Well below average | ↓ |
| Material-gain skewers executed percentile i Percentile rank for material-gain skewers compared with players in the same Elo bucket. Percent of games where you executed a skewer that won material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 1% | 2% | 1% | 1% | Well below average | Well below average | - |
| Immobilizing pins executed percentile i Percentile rank for immobilizing pins executed compared with players in the same Elo bucket. Percent of games where you created a valid pin that meaningfully restricted an opponent piece, even if immediate material gain was not forced. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 63% | 64% | 58% | 67% | Above average | Above average | ↑ |
| Material-gain discovered attacks suffered against percentile i Percentile rank for material-gain discovered attacks suffered compared with players in the same Elo bucket. Percent of games where the opponent executed a discovered attack against you that led to material gain. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 96% | 96% | 94% | 100% | Excellent | Excellent | ↑ |
Midgame Execution
| Metric | Your number | Wins | Losses | Last 10 | Grade | Last 10 grade | Status iCheck mark - goal achieved, Green UP Arrow improving, Down Red arrow - deteriorating. |
|---|---|---|---|---|---|---|---|
| Advantage duration after lead own percentile i Percentile rank for advantage duration after lead compared with players in the same Elo bucket. How long, on average, you maintain a material lead after first gaining one. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 64% | 69% | 53% | 69% | Above average | Above average | ↑ |
| Advantage stability own percentile i Percentile rank for advantage stability compared with players in the same Elo bucket. Share of positions after gaining a material lead where you remain at least as far ahead as before. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 73% | 89% | 20% | 76% | Well above average | Well above average | ↑ |
| Material gain events own percentile i Percentile rank for material gain events compared with players in the same Elo bucket. Average number of moves per game where your material balance improves. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 59% | 63% | 47% | 65% | Above average | Above average | ↑ |
Pawn Structure & Endgame 250 5% weight
| Metric | Your number | Wins | Losses | Last 10 | Grade | Last 10 grade | Status iCheck mark - goal achieved, Green UP Arrow improving, Down Red arrow - deteriorating. |
|---|---|---|---|---|---|---|---|
| % games back-rank mated by opponent behind own pawns i Percent of games where you were checkmated on the back rank while your own pawns blocked the escape squares in front of your king. | 0.0% | 0.0% | 0.0% | 0.0% | 1300+ | 1300+ | ✓ |
| Advanced Pawn Space Score i Average amount of useful pawn space you claim. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 2.1 | 2.4 | 2.1 | 1.8 | 250 | 250 | ↓ |
| Your pawns captured on starting square i Average number of your pawns captured before they ever moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.727 | 0.336 | 1.003 | 0.900 | 450 | 250 | ↓ |
| Average # of own pawn islands i Average number of separate pawn groups you maintain. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 1.8 | 1.9 | 1.7 | 1.9 | 1200 | 1300+ | ✓ |
| Pawn chain protected percent i Share of your remaining pawns that are protected diagonally by another pawn at the final tracked position. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 23.4% | 20.9% | 24.4% | 25.4% | 1300+ | 1300+ | ✓ |
| First castled shield pawn move i Average move number when you first move a pawn directly in front of your castled king. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 21.1 | 29.5 | 17.6 | — | 250 | — | — |
| Pawn capture toward center choice rate i When either of two pawns can capture the same target, how often you choose the pawn that moves closer to the center. | 61.7% | 59.9% | 67.9% | 100.0% | 1300+ | 1300+ | ✓ |
| Pawn chain base attack events i How often you newly attack the base pawn of an opponent pawn chain. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 1.8 | 2.0 | 1.2 | 2.4 | 1150 | 1300+ | ✓ |
| Failed to convert winning advantage i Percent of games where you reached a winning material advantage but did not win the game. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 10.2% | 0.0% | 10.4% | 20.0% | 400 | 250 | ↓ |
| Own backward pawn rate percentile i Percentile rank for backward pawn rate compared with players in the same Elo bucket. Percent of games where your pawn structure contains pawns that lack pawn support, trail adjacent friendly pawns, and cannot advance safely. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 24% | 28% | 19% | 24% | Well below average | Well below average | - |
| Own doubled pawns rate percentile i Percentile rank for doubled pawns created compared with players in the same Elo bucket. How often your moves leave your own pawns newly doubled. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 40% | 35% | 45% | 40% | Below average | Below average | - |
| Own isolated pawn rate percentile i Percentile rank for isolated pawn rate compared with players in the same Elo bucket. Percent of games where your pawn structure contains isolated pawns. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 40% | 37% | 47% | 37% | Below average | Below average | ↓ |
| Passed pawn conversion rate percentile i Percentile rank for passed pawn conversion rate compared with players in the same Elo bucket. Percent of games with a passed pawn where that pawn eventually promotes or helps convert material advantage. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 78% | 100% | 43% | 75% | Well above average | Well above average | ↓ |
| Pawn island damage rate inflicted percentile i Percentile rank for pawn island damage rate compared with players in the same Elo bucket. Average rate at which your moves create additional opponent pawn islands. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 48% | 52% | 44% | 49% | Average | Average | ↑ |
| Captured opponent pawns on starting square percentile i Percentile rank for captured opponent pawns on starting square compared with players in the same Elo bucket. Average number of opponent pawns you captured before they moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 71% | 72% | 63% | 77% | Well above average | Well above average | ↑ |
| Opponent backward pawn rate percentile i Percentile rank for backward pawn rate compared with players in the same Elo bucket. Percent of games where your pawn structure contains pawns that lack pawn support, trail adjacent friendly pawns, and cannot advance safely. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 57% | 56% | 59% | 58% | Above average | Above average | ↑ |
| Opponent doubled pawns rate percentile i Percentile rank for doubled pawns created compared with players in the same Elo bucket. How often your moves leave your own pawns newly doubled. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 100% | 100% | 100% | 100% | Excellent | Excellent | - |
| Opponent isolated pawn rate percentile i Percentile rank for isolated pawn rate compared with players in the same Elo bucket. Percent of games where your pawn structure contains isolated pawns. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 59% | 61% | 53% | 61% | Above average | Above average | ↑ |
| Passed pawns allowed rate percentile i Percentile rank for passed pawn conversion rate compared with players in the same Elo bucket. Percent of games with a passed pawn where that pawn eventually promotes or helps convert material advantage. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 83% | 100% | 58% | 83% | Well above average | Well above average | - |
| Pawn island damage rate suffered percentile i Percentile rank for pawn island damage rate compared with players in the same Elo bucket. Average rate at which your moves create additional opponent pawn islands. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 55% | 56% | 51% | 58% | Above average | Above average | ↑ |
Time Management 925 15% weight
| Metric | Your number | Wins | Losses | Last 10 | Grade | Last 10 grade | Status iCheck mark - goal achieved, Green UP Arrow improving, Down Red arrow - deteriorating. |
|---|---|---|---|---|---|---|---|
| Average Time Spent (Moves 1-10) i Average seconds spent on opening moves. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 6.3 | 6.1 | 6.7 | 6.2 | 900 | 950 | ↑ |
| Average Time Spent (Moves 11-30) i Average seconds spent on middlegame moves. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 11.4 | 11.3 | 12.4 | 10.3 | 250 | 800 | ↑ |
| Average Time Spent per Move i Average seconds you spend per move across the analyzed games. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 8.8 | 8.8 | 9.6 | 8.5 | 250 | 650 | ↑ |
| Average time, endgame i Average seconds spent on moves after move 30. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 7.9 | 7.9 | 8.5 | 8.2 | 1300+ | 1300+ | ✓ |
| Middle Time Share (Moves 11-30) i Share of your total time spent on middlegame moves. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 60.7% | 61.8% | 60.7% | 60.7% | 1000 | 950 | - |
| Opening Time Share (Moves 1-10) i The share of your total thinking time spent on your first 10 moves. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit. | 23.7% | 24.0% | 27.7% | 20.0% | 1250 | 1300+ | ✓ |
| Time forfeit after being ahead i Percent of games where you lost on time after having held a material lead at some point. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 1.0% | 0.0% | 3.8% | 0.0% | 1300+ | 1300+ | ✓ |
| Time forfeit after winning advantage i Percent of games where you lost on time after having held a winning material advantage. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.0% | 0.0% | 0.9% | 0.0% | 1300+ | 1300+ | ✓ |
| Time forfeit loss i Percent of games you lost by time forfeit. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 2.4% | 0.0% | 8.1% | 0.0% | 1300+ | 1300+ | ✓ |
| Time forfeit while significantly ahead i Percent of games where you lost on time while significantly ahead on material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.0% | 0.0% | 0.3% | 0.0% | 1300+ | 1300+ | ✓ |
| Time forfeit with winning advantage i Percent of games where you lost on time while still holding a winning material advantage. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.0% | 0.0% | 0.3% | 0.0% | 1300+ | 1300+ | ✓ |
| Time share, endgame i Share of your total thinking time spent after move 30. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 51.2% | 48.4% | 47.9% | 58.3% | 1300+ | 1300+ | ✓ |
Special Moves 1300+
| Metric | Your number | Wins | Losses | Last 10 | Grade | Last 10 grade | Status iCheck mark - goal achieved, Green UP Arrow improving, Down Red arrow - deteriorating. |
|---|---|---|---|---|---|---|---|
| En passant captures made i Average number of en passant captures you make per game. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 0.0943 | 0.0494 | 0.0000 | 0.2000 | 1300+ | 1300+ | ✓ |
| En passant captures suffered own percentile i Percentile rank for en passant captures suffered compared with players in the same Elo bucket. Average number of en passant captures your opponents make against you per game. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern. | 100% | 99% | 100% | 100% | Excellent | Excellent | - |
Top strengths
- Minor pieces (knights and bishops) developed by move 10 Your number 3.3 · grade 1300+
- Repeated piece moves in opening Your number 0.5 · grade 1300+
- Queen touched before move 10 Your number 0.4 · grade 1300+
- Queenside bishop fianchettoed Your number 35.8% · grade 1300+
- Kingside bishop fianchettoed Your number 81.1% · grade 1300+
Biggest leaks
- Center attack before castling Your number 21.5% · grade 250
- Advanced Pawn Space Score Your number 2.1 · grade 250
- First castled shield pawn move Your number 21.1 · grade 250
- Knight blocks passed pawn plies Your number 0.0 · grade 250
- % games with hanging knight exposure Your number 62.2% · grade 250
Your next training priorities
Priority 1: Center attack before castling
Why: Center attack before castling grades around 250 on the benchmark scale.
How: If you attack the center before castling, make sure your king can survive the opened lines. Prefer central breaks after your king is safe unless the break wins material or stops the opponent from castling comfortably.
Priority 2: Advanced Pawn Space Score
Why: Advanced Pawn Space Score grades around 250 on the benchmark scale.
How: Gain space with pawns only when your pieces can support the advanced squares; ask what squares you are controlling and what new targets you may be leaving behind.
Priority 3: First castled shield pawn move
Why: First castled shield pawn move grades around 250 on the benchmark scale.
How: After castling, avoid moving the pawns directly in front of your king until there is a concrete reason. If you must move one, prefer the latest safe moment and check whether the move creates dark-square or light-square holes around your king.
Individual Metric Graphs
Opening Discipline 10% weight
Category grade 1175 · Strong improving habits · 8 weighted metrics
Minor pieces (knights and bishops) developed by move 10 i Minor pieces means your knights and bishops. This counts how many of your four minor pieces are developed by your 10th move.
Higher is usually better. Around 3-4 means you usually complete most of your minor-piece development by move 10.
What this means: Minor pieces (knights and bishops) developed by move 10 is already at or above the upper benchmark range.
Coaching tip: In the first 10 moves, try to get knights and bishops off the back rank before spending tempi on pawn grabs, queen moves, or moving the same piece again.
Repeated piece moves in opening i Average number of extra early moves spent moving the same piece again instead of developing.
Lower is better. High values usually mean time-wasting opening play.
What this means: Repeated piece moves in opening is already at or above the upper benchmark range.
Coaching tip: When you want to move the same piece twice in the opening, ask whether a new developing move, castling, or a central pawn push would improve more pieces at once.
Queen touched before move 10 i Average number of queen moves you make before move 10. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Lower is generally better for developing players. High values usually mean early queen adventures.
What this means: Queen touched before move 10 is already at or above the upper benchmark range.
Coaching tip: Keep the queen tucked in until your minor pieces are out unless the queen move wins material, stops a direct threat, or forces a concrete concession.
Queenside bishop fianchettoed i Percent of games where your queenside bishop reaches the side-aware fianchetto square: b2 as White or b7 as Black. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher is descriptive rather than universally better. Stronger players often use fianchetto structures deliberately when the long diagonal supports the opening plan.
What this means: Queenside bishop fianchettoed is already at or above the upper benchmark range.
Coaching tip: A queenside fianchetto is useful when the long diagonal has targets or controls central light/dark squares. Do not play b3/b6 automatically; use it when the bishop will influence the center or pressure the opponent's rook/king side.
Kingside bishop fianchettoed i Percent of games where your kingside bishop reaches the side-aware fianchetto square: g2 as White or g7 as Black. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher is descriptive rather than universally better. It captures use of long-diagonal kingside systems and should be interpreted with opening choice.
What this means: Kingside bishop fianchettoed is already at or above the upper benchmark range.
Coaching tip: A kingside fianchetto can give strong long-diagonal control and king shelter, but only if the bishop remains active. After g3/g6, avoid locking that bishop behind your own pawns without a clear plan.
Either bishop fianchettoed i Percent of games where either bishop reaches a side-aware fianchetto square. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher is descriptive and is the fianchetto summary metric used as the non-redundant candidate in fitted-model testing.
What this means: Either bishop fianchettoed is already at or above the upper benchmark range.
Coaching tip: Fianchetto when the long diagonal is part of your opening plan: control the center from distance, pressure the opponent's queenside or kingside, and coordinate the bishop with pawn breaks rather than treating it as a setup move by habit.
Both bishops fianchettoed i Percent of games where both bishops occupy their side-aware fianchetto squares at the same time at least once. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher is descriptive and identifies double-fianchetto systems. It is useful for style/profile analysis but is intentionally not included alongside the either-bishop metric in lasso testing.
What this means: Both bishops fianchettoed is already at or above the upper benchmark range.
Coaching tip: Double fianchetto systems are slower but can be robust if you control both long diagonals. Use them when the center is stable enough that spending two tempi on flank development does not concede too much space.
First enemy territory move num i The average move number when one of your pieces first enters the opponent's half of the board. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
The average move number when one of your pieces first enters the opponent's half of the board.
What this means: First enemy territory move num is already at or above the upper benchmark range.
Coaching tip: Do not invade just to invade. Time the first entry into enemy territory for when it creates a threat, wins a tempo, or occupies a square that cannot be chased.
% games castled kingside i Percent of games where you castle kingside: White to g1 or Black to g8. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher is usually better for developing players because it reflects regular king safety in the opening.
What this means: % games castled kingside grades around 800 on the benchmark scale.
Coaching tip: Treat castling kingside as the default unless the position clearly asks for something else; finish development, get the king safe, and only then start wing operations.
% games castled queenside i Percent of games where you castle queenside: White to c1 or Black to c8. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
This is more opening- and style-dependent than kingside castling. It is useful descriptive data, but not always a pure strength signal by itself.
What this means: % games castled queenside is already at or above the upper benchmark range.
Coaching tip: Before castling long, compare both wings with purpose: which side is safer, which rook becomes active faster, and whether your a-, b-, and c-pawns can actually shelter your king.
Castled by move 10 i Percent of games where you have castled by the end of your 10th move. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where you have castled by the end of your 10th move.
What this means: Castled by move 10 grades around 450 on the benchmark scale.
Coaching tip: Use move 10 as a practical checkpoint: if you are not castled yet, there should be a concrete reason, such as a forced tactic, blocked castling path, or a safer opposite-side plan.
Rooks connected immediately after castling i Whether your rooks become connected on the board immediately after your castling move.
Higher is usually better. Stronger players still castle
What this means: Rooks connected immediately after castling is already at or above the upper benchmark range.
Coaching tip: Good players still castle, but they often do it after development has cleared enough back-rank traffic that the rooks connect immediately. If this is low, look for games where one minor piece, queen, or rook move delayed coordination after castling.
Own rooks on open files immediately after castling i Number of your rooks on open files immediately after your castling move. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher can be better when it reflects useful rook activity or open-file threats at the moment king safety is resolved.
What this means: Own rooks on open files immediately after castling is already at or above the upper benchmark range.
Coaching tip: When deciding whether to castle now or wait a move, check whether open files already create rook activity or king-file danger. Castling is strongest when it improves king safety without leaving your rooks disconnected from useful open-file work.
Own rooks on half-open files immediately after castling i Number of your rooks on half-open files immediately after your castling move. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher can indicate that castling timing is coordinated with practical pressure on half-open files rather than treated as an isolated king-safety move.
What this means: Own rooks on half-open files immediately after castling is already at or above the upper benchmark range.
Coaching tip: Half-open files are practical pressure lanes. Before castling, ask whether development has advanced far enough that a rook can soon pressure a half-open file instead of sitting behind undeveloped pieces.
Center attack before castling i How often you open or attack the center before castling. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Lower is usually better for developing players because opening the center before king safety is resolved can create tactical exposure.
What this means: Center attack before castling grades around 250 on the benchmark scale.
Coaching tip: If you attack the center before castling, make sure your king can survive the opened lines. Prefer central breaks after your king is safe unless the break wins material or stops the opponent from castling comfortably.
Center control by move 10 i How many of the 4 center squares (d4, e4, d5, e5) your pieces or pawns can attack after your 10th move. This measures influence, not whether you occupy those squares.
Higher is better. It reflects how much influence your pieces/pawns exert on the central squares by move 10.
What this means: Center control by move 10 grades around 1200 on the benchmark scale.
Coaching tip: Count how many times you attack or occupy e4, d4, e5, and d5, and prefer opening moves that add pressure to those four squares.
Center pawns occupied by move 10 i Center pawns means White pawns on d4/e4 or Black pawns on d5/e5. By move 10 means the last position reached by or before your 10th move.
Higher is usually better. This rewards occupying your own central pawn squares early.
What this means: Center pawns occupied by move 10 is already at or above the upper benchmark range.
Coaching tip: In quiet openings, look for practical ways to plant a pawn on e4/e5 or d4/d5 so your pieces have squares to work from.
% games allowed opponent to take rook with bishop on starting square i Percent of games where the opponent captured one of your unmoved corner rooks with a bishop. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where the opponent captured one of your unmoved corner rooks with a bishop.
What this means: % games allowed opponent to take rook with bishop on starting square grades around 250 on the benchmark scale.
Coaching tip: If bishops are taking your corner rooks before they move, inspect the long diagonal immediately. Develop the trapped rook side earlier or block the diagonal before the capture is possible.
Bishop took opponent rook on its starting square percentile i Percentile rank for bishop took opponent rook on its starting square compared with players in the same Elo bucket. Percent of games where one of your corner rooks was captured by a bishop before that rook ever left its starting square. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Bishop took opponent rook on its starting square as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: When the opponent leaves a corner rook trapped on its starting square, check whether a bishop has a clean diagonal capture before the rook escapes.
Metrics marked with * are percentile-relative. They compare how often you produce an event versus what players typically produce in similar-strength games, so they are not derived from the benchmark trend-line graphs.
Piece Coordination & Activity 30% weight
Category grade 1100 · Strong improving habits · 4 weighted metrics
% games rooks connected i Connected rooks means your two rooks share a rank or file with no pieces between them at some point in the game.
Higher is usually better. It reflects whether your rooks become coordinated during the game instead of remaining disconnected.
What this means: % games rooks connected is already at or above the upper benchmark range.
Coaching tip: After your minor pieces are developed, look for the quickest route to connect rooks so both can shift to the center or an open file together.
Avg enemy territory queen count after 10 i Average number of your queen positions in the opponent's half of the board after move 10. High values usually mean early queen activity or queen overextension. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Average number of your queen positions in the opponent's half of the board after move 10. High values usually mean early queen activity or queen overextension.
What this means: Avg enemy territory queen count after 10 grades around 1250 on the benchmark scale.
Coaching tip: A queen in enemy territory should usually arrive after development has created targets. If this number is too high, check for premature queen raids; if it is too low, look for missed supported queen entries after the opponent weakens squares.
Avg enemy territory major piece count after 10 i Average number of your queens and rooks in the opponent's half of the board after move 10. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Average number of your queens and rooks in the opponent's half of the board after move 10.
What this means: Avg enemy territory major piece count after 10 grades around 600 on the benchmark scale.
Coaching tip: Do not send a queen or rook into enemy territory by itself. First create an entry file, diagonal, or tactical target, then bring a second piece so the invasion cannot be chased away for free.
Avg enemy territory minor piece count after 10 i Average number of your knights and bishops in the opponent's half of the board after move 10. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Average number of your knights and bishops in the opponent's half of the board after move 10.
What this means: Avg enemy territory minor piece count after 10 is already at or above the upper benchmark range.
Coaching tip: Look for stable advanced squares for knights and bishops after development, especially outposts that cannot be kicked by pawns and diagonals that attack real targets.
First major piece enemy territory ply i The first ply when one of your queens or rooks enters the opponent's half of the board. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
The first ply when one of your queens or rooks enters the opponent's half of the board.
What this means: First major piece enemy territory ply grades around 1000 on the benchmark scale.
Coaching tip: Delay major-piece invasions until they have a target and support; if the first entry comes late, ask whether an open file or queen-side/king-side target was available earlier.
First minor piece enemy territory ply i The first ply when one of your knights or bishops enters the opponent's half of the board. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
The first ply when one of your knights or bishops enters the opponent's half of the board.
What this means: First minor piece enemy territory ply is already at or above the upper benchmark range.
Coaching tip: Once the center is stable, ask whether a knight can occupy an outpost or a bishop can cross into the opponent's half with tempo instead of staying defensive.
Max enemy territory piece count after 10 i The maximum number of your non-king pieces simultaneously placed in the opponent's half of the board after move 10. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
The maximum number of your non-king pieces simultaneously placed in the opponent's half of the board after move 10.
What this means: Max enemy territory piece count after 10 is already at or above the upper benchmark range.
Coaching tip: After move 10, look for safe ways to get more than one piece into the opponent's half: knight outposts, rooks on open files or the 7th rank, bishops on long diagonals, and queen entries only when supported. The practical target is coordinated pressure by two pieces on the same pawn, king zone, or entry square, not a lone raid.
Knight blocks passed pawn plies i How often your knight sits immediately in front of an enemy passed pawn.
Higher can indicate useful blockade technique against passed pawns
What this means: Knight blocks passed pawn plies grades around 250 on the benchmark scale.
Coaching tip: Knights are strong passed-pawn blockers because they can sit directly in front of the pawn while still attacking nearby squares. In endgames, look for chances to blockade enemy passers with a knight before they reach the 6th or 7th rank.
Rook time doubled on a file i Doubled rooks means both rooks stacked on the same file. This number measures how often that setup appears, not the percent of games where it happens.
Higher can indicate better rook coordination, but this setup is relatively rare in short tactical games.
What this means: Rook time doubled on a file grades around 800 on the benchmark scale.
Coaching tip: When one rook finds an open or half-open file, look to bring the second rook behind it so they work like a battering ram against the same target or entry square.
Rook time on 7th row i This is not a percent. A value like 0.4 means that, on average, your rook reaches and stays on the 7th row for less than one tracked board state per game.
Higher is generally better, but this naturally occurs more often in longer or more winning games.
What this means: Rook time on 7th row is already at or above the upper benchmark range.
Coaching tip: When your rook can invade the 7th rank, check whether it hits pawns, traps the king, or ties down the opponent's pieces before settling for a quieter move.
Rook time on half-open files i Half-open file means a file with no pawn of your own on it, but at least one opponent pawn still present. The number shows how often your rooks spend time there.
Higher often indicates sensible rook pressure, especially in quieter positions.
What this means: Rook time on half-open files grades around 600 on the benchmark scale.
Coaching tip: Use half-open files to lean on backward pawns and entry squares; if your rook lands there, make sure a second piece can join the pressure.
Rook time on open files i Open file means a file with no pawns on it. The number is not a percent; it is how often your rooks spend time on open files during a game.
Higher often indicates more active rook placement, but depends on game length and opening structure.
What this means: Rook time on open files is already at or above the upper benchmark range.
Coaching tip: As soon as a file opens, ask which rook can claim it first and whether doubling or invading on that file would create a real target.
Time with bishop pair i This measures how long you keep both bishops in a game. Higher means you retain the bishop pair for more of the game.
Higher is not always better in every position, but often correlates with preserving bishop-pair potential.
What this means: Time with bishop pair is already at or above the upper benchmark range.
Coaching tip: If you own both bishops, think about keeping the position open and using long diagonals; do not trade one off automatically unless the trade solves a concrete problem.
Enemy territory capture count i Average number of captures you make in the opponent's half of the board. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Average number of captures you make in the opponent's half of the board.
What this means: Enemy territory capture count is already at or above the upper benchmark range.
Coaching tip: Captures in enemy territory should be the result of coordinated invasion, not isolated raids. Look for targets that two pieces attack before grabbing material.
Enemy territory move rate i Share of your non-king moves that place a piece in the opponent's half of the board. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Share of your non-king moves that place a piece in the opponent's half of the board.
What this means: Enemy territory move rate grades around 1250 on the benchmark scale.
Coaching tip: If your pieces rarely enter enemy territory, look for safe outposts, open files, and long diagonals after development; if they enter too often, check whether they are unsupported.
Your minor pieces captured on starting square i Average number of your knights and bishops captured before they moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Average number of your knights and bishops captured before they moved from their starting squares.
What this means: Your minor pieces captured on starting square grades around 500 on the benchmark scale.
Coaching tip: If your knights or bishops are being captured before they move, review the opening line immediately: those pieces are trapped because development was delayed or a basic tactic was missed.
Your pieces captured on starting square i Average number of your non-pawn pieces captured before they moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Average number of your non-pawn pieces captured before they moved from their starting squares.
What this means: Your pieces captured on starting square grades around 500 on the benchmark scale.
Coaching tip: When your back-rank pieces get captured before moving, treat it as an opening emergency: develop earlier, watch long diagonals and files, and ask which home-square piece is tactically loose.
Capturing opponent minor pieces on starting square own percentile i Percentile rank for capturing opponent minor pieces on starting square compared with players in the same Elo bucket. Average number of opponent knights and bishops you captured before they moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Capturing opponent minor pieces on starting square as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: When opponent minors remain undeveloped, look for tactics against their starting squares, but only after confirming the capture does not open counterplay against your king.
Capturing opponent pieces on starting square own percentile i Percentile rank for capturing opponent pieces on starting square compared with players in the same Elo bucket. Average number of opponent non-pawn pieces you captured before they moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Capturing opponent pieces on starting square as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: Use development leads concretely: if an opponent piece is still trapped on its starting square, check whether pins, discovered attacks, or open lines make it vulnerable.
Metrics marked with * are percentile-relative. They compare how often you produce an event versus what players typically produce in similar-strength games, so they are not derived from the benchmark trend-line graphs.
Material & Conversion 15% weight
Category grade 800 · Developing fundamentals · 2 weighted metrics
Failed to win after material lead i How often a material lead fails to become a win. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Lower is better. Captures inability to convert even modest but real leads.
What this means: Failed to win after material lead grades around 700 on the benchmark scale.
Coaching tip: Do not try to win beautifully when a simple plan works; convert the extra material by trading, activating your king, and stopping counterplay.
Material advantage blown i How often you fail to keep a significant material lead. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Lower is better. High values mean you often give back big edges.
What this means: Material advantage blown grades around 950 on the benchmark scale.
Coaching tip: Once you win material, simplify the position, trade the opponent's active pieces, and avoid giving counterplay with unnecessary pawn moves or king exposure.
Equal piece trades while ahead i How often you complete equal-piece trades while already ahead in material.
Higher can indicate practical conversion: when ahead
What this means: Equal piece trades while ahead grades around 700 on the benchmark scale.
Coaching tip: When ahead, equal trades are often your friend because they reduce counterplay and simplify conversion. Look for clean piece trades that keep your extra material, but avoid trades that activate the opponent or damage your pawn structure.
Bishop/knight trade count i How often your games include completed bishop-for-knight or knight-for-bishop exchanges. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher appears to track stronger players completing coherent minor-piece exchanges
What this means: Bishop/knight trade count grades around 700 on the benchmark scale.
Coaching tip: Do not trade bishops and knights automatically. Before exchanging a minor piece, compare which piece has the better future squares, whether the trade changes pawn structure, and whether it removes an important defender.
Opponent up queen or more i Percent of games where the opponent was ever ahead by at least queen value in material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where the opponent was ever ahead by at least queen value in material.
What this means: Opponent up queen or more grades around 650 on the benchmark scale.
Coaching tip: A queen-sized deficit is almost always a decisive tactical failure. Review the first move where it happened and look for the missed capture, fork, skewer, pin, or loose queen.
Opponent up piece or more i Percent of games where the opponent was ever ahead by at least a minor piece of material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where the opponent was ever ahead by at least a minor piece of material.
What this means: Opponent up piece or more grades around 250 on the benchmark scale.
Coaching tip: When the opponent gets up a piece or more, go back to the move where the deficit first appeared and check whether it came from an undefended piece, a missed tactic, or entering a bad exchange sequence.
Opponent up rook or more i Percent of games where the opponent was ever ahead by at least rook value in material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where the opponent was ever ahead by at least rook value in material.
What this means: Opponent up rook or more grades around 450 on the benchmark scale.
Coaching tip: A rook-sized deficit usually starts with a tactical oversight or an exchange that was miscounted. Before committing to captures or loose rook moves, count the final material balance and scan forcing replies.
Up piece or more own percentile i Percentile rank for up piece or more compared with players in the same Elo bucket. Up piece or more measured from the player-game feature table.
Up piece or more as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: When you get at least a piece ahead, convert with discipline: trade active enemy pieces, protect your king, and avoid giving the opponent tactical counterplay.
Up rook or more own percentile i Percentile rank for up rook or more compared with players in the same Elo bucket. Up rook or more measured from the player-game feature table.
Up rook or more as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: A rook-sized edge should usually be enough to win. Stop hunting extra material unless it is forced, and focus on simplifying into a won ending.
Metrics marked with * are percentile-relative. They compare how often you produce an event versus what players typically produce in similar-strength games, so they are not derived from the benchmark trend-line graphs.
Tactical Awareness 25% weight
Category grade 925 · Developing fundamentals · 2 weighted metrics
Hung pawn exposure rate i Share of eligible non-capture move states where one of your pawns was profitably capturable by legal exchange.
Lower is better. This uses a normalized ply-level exposure rate.
What this means: Hung pawn exposure rate grades around 500 on the benchmark scale.
Coaching tip: Before leaving a pawn undefended, ask whether the opponent can take it and still come out ahead after the recapture sequence. Loose pawns add up even when no single pawn decides the game.
% games with hanging knight exposure i Percent of games where you left a knight profitably capturable on the next move without already winning equal-or-greater material yourself.
Lower is better. This is meant to capture real tactical loose-piece errors rather than harmless attacked pieces.
What this means: % games with hanging knight exposure grades around 250 on the benchmark scale.
Coaching tip: Before hopping a knight forward, ask whether it can be chased, pinned, or simply taken after the dust settles rather than assuming one defender is enough.
% games with hanging bishop exposure i Percent of games where you left a bishop profitably capturable on the next move without already winning equal-or-greater material yourself.
Lower is better
What this means: % games with hanging bishop exposure is already at or above the upper benchmark range.
Coaching tip: Before placing a bishop on an active diagonal, check whether pawns, knights, or a queen can take it after one forcing move, especially if the bishop has moved beyond its pawn cover.
% games with hanging rook exposure i Percent of games where you left a rook profitably capturable on the next move without already winning equal-or-greater material yourself.
Lower is better. Hanging rooks cleanly is usually a strong sign of tactical oversight.
What this means: % games with hanging rook exposure grades around 250 on the benchmark scale.
Coaching tip: Before putting a rook on an active square, check whether bishops, knights, or tactical shots can hit it faster than your other pieces can support it.
% games with hanging queen exposure i Percent of games where you left your queen profitably capturable on the next move without already winning equal-or-greater material yourself.
Lower is much better. This is intended to catch true queen-hanging blunders rather than speculative attacks.
What this means: % games with hanging queen exposure grades around 1250 on the benchmark scale.
Coaching tip: Every queen move deserves a final blunder-check for captures, forks, skewers, and discovered attacks because one loose queen often loses the game on the spot.
Own loose piece ratio with queens on board i Share of your non-king piece positions that are undefended while queens remain on the board. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Lower is better. Undefended pieces are more tactically vulnerable while queens are still present.
What this means: Own loose piece ratio with queens on board is already at or above the upper benchmark range.
Coaching tip: When queens are on, treat every undefended piece as a tactical hook. Before ending a move, ask which of your pieces has no defender and whether checks or queen threats can hit it.
Opponent loose pieces with queens on board percentile i Percentile rank for opponent loose piece ratio with queens on board compared with players in the same Elo bucket. Share of opponent non-king piece positions that are undefended while queens remain on the board. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Opponent loose piece ratio with queens on board as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: When queens remain on, create pressure by attacking undefended opponent pieces with tempo: checks, queen threats, pins, and discovered attacks become stronger when targets lack defenders.
Own loose piece ratio with queens off board i Share of your non-king piece positions that are undefended after queens are off the board.
Lower is better. Even without queens
What this means: Own loose piece ratio with queens off board grades around 500 on the benchmark scale.
Coaching tip: Even after queen trades, undefended pieces let opponents win tempi and simplify favorably. Improve coordination by making each piece defend or be defended by another piece.
Opponent loose pieces with queens off board percentile i Percentile rank for opponent loose piece ratio with queens off board compared with players in the same Elo bucket. Share of opponent non-king piece positions that are undefended after queens are off the board. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Opponent loose piece ratio with queens off board as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: After queens come off, keep improving piece activity until opponent pieces are loose and tied to defense. Rooks on files, bishops on diagonals, and knights on outposts should create defended threats.
Knight rim move percent i Share of your knight moves that end on the rim: file a/h or rank 1/8. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Lower is generally better because knights on the rim usually have fewer squares and fewer tactical options.
What this means: Knight rim move percent grades around 1100 on the benchmark scale.
Coaching tip: A knight on the rim usually controls fewer useful central squares. Before moving a knight to the edge, confirm it has a concrete job such as winning material, creating a fork, defending a key square, or heading to a stable outpost.
Allowed queen capture on starting square i Percent of games where your queen was captured before it moved from its starting square. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where your queen was captured before it moved from its starting square.
What this means: Allowed queen capture on starting square grades around 250 on the benchmark scale.
Coaching tip: If your queen is being captured before it moves, review the opening line immediately. This usually means a back-rank diagonal, file, or discovered tactic was missed before development got started.
Forks suffered i Percent of games where the opponent executed a non-trivial fork against you that added real pressure to move and/or cost material under the tightened fork definition. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where the opponent executed a non-trivial fork against you that added real pressure to move and/or cost material under the tightened fork definition.
What this means: Forks suffered grades around 1100 on the benchmark scale.
Coaching tip: Before ending a move, scan for opponent forks that can actually win material: knight jumps, queen checks, pawn forks, and promotion-pawn tactics.
Winning forks by opponent allowed i How often opponents convert played forks into material gain against you. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Lower is better. This measures how often your moves are punished by forks that actually win material.
What this means: Winning forks by opponent allowed grades around 600 on the benchmark scale.
Coaching tip: Treat every move like a tactical safety check: what fork can the opponent actually play next that wins material?
Winning forks involving pawns by opponent allowed i Percent of moves where the opponent executed a winning fork against you involving at least one pawn target or pawn attacker. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of moves where the opponent executed a winning fork against you involving at least one pawn target or pawn attacker.
What this means: Winning forks involving pawns by opponent allowed grades around 450 on the benchmark scale.
Coaching tip: Before pushing or leaving pawns loose, check whether the opponent has a pawn-related fork that wins material, especially promotion-pawn threats and pawn forks on pieces that cannot both escape.
Material-gain skewers not involving pawns suffered i Percent of games where the opponent executed a material-gain skewer against you and the key targets did not involve ordinary pawns. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where the opponent executed a material-gain skewer against you and the key targets did not involve ordinary pawns.
What this means: Material-gain skewers not involving pawns suffered grades around 800 on the benchmark scale.
Coaching tip: When high-value pieces line up behind each other, look for checks and forcing slider moves before the opponent uses the line to win material.
Material-gain skewers by opponent allowed i Percent of games where the opponent executed a skewer against you that won material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where the opponent executed a skewer against you that won material.
What this means: Material-gain skewers by opponent allowed is already at or above the upper benchmark range.
Coaching tip: Keep kings, queens, and rooks from lining up on open files, ranks, and diagonals unless the front piece can move without losing what sits behind it.
Skewer exposure allowed i How often your moves leave a skewer available to the opponent.
Lower is better.
What this means: Skewer exposure allowed grades around 950 on the benchmark scale.
Coaching tip: When your king, queen, or rook sit on a shared file, rank, or diagonal, double-check that the front piece cannot be driven away to expose the one behind it.
Pin exposure allowed i How often your moves leave a pin available to the opponent.
Lower is better.
What this means: Pin exposure allowed is already at or above the upper benchmark range.
Coaching tip: Watch for pieces lined up in front of your king, queen, or a key defender, and ask whether your move walks into a pin on the next turn.
Immobilizing pins by opponent allowed i Percent of games where the opponent created a valid immobilizing pin against you. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where the opponent created a valid immobilizing pin against you.
What this means: Immobilizing pins by opponent allowed grades around 1050 on the benchmark scale.
Coaching tip: Avoid lining up valuable pieces behind defenders unless the front piece can legally move or the line can be challenged before the opponent pins it.
Captured opponent queen on its starting square percentile i Percentile rank for captured opponent queen on its starting square compared with players in the same Elo bucket. Average number of opponent queens you captured before that queen moved from its starting square. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Captured opponent queen on its starting square as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: If this is high, you are exploiting undeveloped opponents well; keep scanning early queen lines, but do not delay your own development just to hunt the queen.
Forks executed own percentile i Percentile rank for forks executed compared with players in the same Elo bucket. Percent of games where you played a meaningful fork pattern. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Forks executed as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: Look for forcing fork patterns after checks, captures, and threats, but only trust them when the forked material cannot simply move or liquidate safely.
Winning forks executed percentile i Percentile rank for winning forks executed compared with players in the same Elo bucket. How often your played forks actually convert into material gain. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Winning forks executed as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: Look first for meaningful material forks you can actually execute and convert, especially against kings, queens, rooks, and promotion-threat pawns.
Winning forks involving pawns executed percentile i Percentile rank for winning forks involving pawns compared with players in the same Elo bucket. Percent of games where you executed a winning fork involving at least one pawn target or pawn attacker. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Winning forks involving pawns as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: Pawn-related forks are easy to overrate. Count them only when the pawn target is genuinely loose, promotion-critical, or part of a forced material win.
Material-gain skewers executed percentile i Percentile rank for material-gain skewers compared with players in the same Elo bucket. Percent of games where you executed a skewer that won material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Material-gain skewers as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: Look for checks or attacks on a front piece that force it to move and expose a more valuable piece behind it; verify the follow-up capture wins material.
Immobilizing pins executed percentile i Percentile rank for immobilizing pins executed compared with players in the same Elo bucket. Percent of games where you created a valid pin that meaningfully restricted an opponent piece, even if immediate material gain was not forced. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Immobilizing pins executed as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: Use pins to freeze defenders before attacking something else. A pinned piece matters most when it no longer protects a key square, pawn, or king escape.
Material-gain discovered attacks suffered against percentile i Percentile rank for material-gain discovered attacks suffered compared with players in the same Elo bucket. Percent of games where the opponent executed a discovered attack against you that led to material gain. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Material-gain discovered attacks suffered as a percentile relative to games in the same Elo bucket.
Coaching tip: Before moving or placing a valuable piece on a line, check whether the opponent can move a blocker with tempo and reveal an attack behind it.
Metrics marked with * are percentile-relative. They compare how often you produce an event versus what players typically produce in similar-strength games, so they are not derived from the benchmark trend-line graphs.
Midgame Execution
Category grade 65% · Above average
Advantage duration after lead own percentile i Percentile rank for advantage duration after lead compared with players in the same Elo bucket. How long, on average, you maintain a material lead after first gaining one. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Advantage duration after lead as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: After gaining material, make a simple conversion plan and stick to it for several moves: improve worst piece, trade active defenders, and avoid unnecessary pawn weaknesses.
Advantage stability own percentile i Percentile rank for advantage stability compared with players in the same Elo bucket. Share of positions after gaining a material lead where you remain at least as far ahead as before. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Advantage stability as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: A stable advantage means the opponent does not get repeated chances. After every forcing sequence, check whether your worst-placed piece or king safety became the new target.
Material gain events own percentile i Percentile rank for material gain events compared with players in the same Elo bucket. Average number of moves per game where your material balance improves. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Material gain events as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: Create material gains by stacking pressure on one target, using forcing moves, and converting pins, forks, skewers, or pawn breaks rather than hoping for one-move blunders.
Metrics marked with * are percentile-relative. They compare how often you produce an event versus what players typically produce in similar-strength games, so they are not derived from the benchmark trend-line graphs.
Pawn Structure & Endgame 5% weight
Category grade 250 · Foundational work needed · 1 weighted metrics
% games back-rank mated by opponent behind own pawns i Percent of games where you were checkmated on the back rank while your own pawns blocked the escape squares in front of your king.
Lower is better. This captures classic back-rank disasters where the king is boxed in by its own pawn shield.
What this means: % games back-rank mated by opponent behind own pawns is already at or above the upper benchmark range.
Coaching tip: Before letting heavy pieces near your back rank, check whether your king has luft and whether one pawn move would create an escape square without creating a bigger weakness.
Advanced Pawn Space Score i Average amount of useful pawn space you claim. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher means pushing pawns forward with useful space gain; this rises cleanly with Elo in the current benchmark.
What this means: Advanced Pawn Space Score grades around 250 on the benchmark scale.
Coaching tip: Gain space with pawns only when your pieces can support the advanced squares; ask what squares you are controlling and what new targets you may be leaving behind.
Your pawns captured on starting square i Average number of your pawns captured before they ever moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Average number of your pawns captured before they ever moved from their starting squares.
What this means: Your pawns captured on starting square grades around 450 on the benchmark scale.
Coaching tip: If your unmoved pawns are being picked off, review whether you are leaving starting-square pawns as free targets while developing slowly or missing simple pawn breaks.
Average # of own pawn islands i Average number of separate pawn groups you maintain. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher currently correlates with stronger play in the current benchmark even though classical pawn-structure theory often prefers fewer islands, so interpret as an empirical pattern rather than a textbook ideal.
What this means: Average # of own pawn islands grades around 1200 on the benchmark scale.
Coaching tip: Before every pawn trade or pawn push, ask whether you are creating another pawn island and therefore another long-term weakness to defend.
Pawn chain protected percent i Share of your remaining pawns that are protected diagonally by another pawn at the final tracked position. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher is usually healthier because connected pawn chains defend each other and are harder to undermine.
What this means: Pawn chain protected percent is already at or above the upper benchmark range.
Coaching tip: Build pawn chains so advanced pawns are supported from behind. Before pushing a pawn, check whether it will still be defended and whether the base of the chain becomes a target.
First castled shield pawn move i Average move number when you first move a pawn directly in front of your castled king. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher is usually safer because early movement of the castled king's pawn shield can weaken king safety.
What this means: First castled shield pawn move grades around 250 on the benchmark scale.
Coaching tip: After castling, avoid moving the pawns directly in front of your king until there is a concrete reason. If you must move one, prefer the latest safe moment and check whether the move creates dark-square or light-square holes around your king.
Pawn capture toward center choice rate i When either of two pawns can capture the same target, how often you choose the pawn that moves closer to the center.
Higher generally reflects centralizing pawn structure choices
What this means: Pawn capture toward center choice rate is already at or above the upper benchmark range.
Coaching tip: When a pawn can capture either direction, prefer captures that strengthen central control, keep your pawn chain connected, or open useful lines for your pieces. Do not capture away from the center unless it wins material or creates a clear target.
Pawn chain base attack events i How often you newly attack the base pawn of an opponent pawn chain. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Higher can indicate active pawn-structure play: stronger players more often pressure the base of connected pawn chains instead of only attacking the front pawn.
What this means: Pawn chain base attack events grades around 1150 on the benchmark scale.
Coaching tip: The base of a pawn chain is usually its weakest point. Attack the opponent's pawn-chain base with pawns and pieces, and defend your own base before pushing the front pawn farther forward.
Failed to convert winning advantage i Percent of games where you reached a winning material advantage but did not win the game. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where you reached a winning material advantage but did not win the game.
What this means: Failed to convert winning advantage grades around 400 on the benchmark scale.
Coaching tip: When you reach a winning advantage, write down the opponent's only counterplay idea and spend the next few moves eliminating it before chasing more material.
Own backward pawn rate percentile i Percentile rank for backward pawn rate compared with players in the same Elo bucket. Percent of games where your pawn structure contains pawns that lack pawn support, trail adjacent friendly pawns, and cannot advance safely. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Backward pawn rate as a percentile relative to games in the same Elo bucket.
Coaching tip: Avoid creating backward pawns by checking whether a pawn can still advance safely after nearby pawn trades. If the square in front of it is controlled by the opponent, either trade the pawn before it becomes fixed or keep enough piece defense behind it.
Opponent backward pawn rate percentile i Percentile rank for backward pawn rate compared with players in the same Elo bucket. Percent of games where your pawn structure contains pawns that lack pawn support, trail adjacent friendly pawns, and cannot advance safely. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Backward pawn rate as a percentile relative to games in the same Elo bucket.
Coaching tip: Create backward-pawn targets by controlling the square in front of an opponent pawn, trading away its neighboring pawn support, then piling pressure on the pawn that can no longer advance safely.
Own doubled pawns rate percentile i Percentile rank for doubled pawns created compared with players in the same Elo bucket. How often your moves leave your own pawns newly doubled. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Doubled Pawns Created as a percentile relative to games in the same Elo bucket.
Coaching tip: Avoid accepting doubled pawns unless they buy something concrete, like an open file, bishop pair, or central control. Before recapturing with a pawn, compare whether a piece recapture or declining the trade keeps your structure healthier.
Opponent doubled pawns rate percentile i Percentile rank for doubled pawns created compared with players in the same Elo bucket. How often your moves leave your own pawns newly doubled. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Doubled Pawns Created as a percentile relative to games in the same Elo bucket.
Coaching tip: Look for captures that force the opponent to recapture with a pawn onto an occupied file. Once the pawns are doubled, attack the front pawn or blockade the rear pawn so the weakness stays fixed.
Own isolated pawn rate percentile i Percentile rank for isolated pawn rate compared with players in the same Elo bucket. Percent of games where your pawn structure contains isolated pawns. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Isolated pawn rate as a percentile relative to games in the same Elo bucket.
Coaching tip: Before accepting an isolated pawn, check whether it gives you active piece play. If it does not, avoid trades that leave one pawn needing permanent defense.
Opponent isolated pawn rate percentile i Percentile rank for isolated pawn rate compared with players in the same Elo bucket. Percent of games where your pawn structure contains isolated pawns. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Isolated pawn rate as a percentile relative to games in the same Elo bucket.
Coaching tip: Use pawn breaks and exchanges to leave one opponent pawn without neighbors. Then blockade the square in front of it and attack it with pieces before it can advance or trade itself off.
Passed pawn conversion rate percentile i Percentile rank for passed pawn conversion rate compared with players in the same Elo bucket. Percent of games with a passed pawn where that pawn eventually promotes or helps convert material advantage. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Passed pawn conversion rate as a percentile relative to games in the same Elo bucket.
Coaching tip: When you create a passed pawn, support it before pushing blindly. Use your king or pieces to remove the best blocker, then trade pieces that make the pawn easier to queen.
Passed pawns allowed rate percentile i Percentile rank for passed pawn conversion rate compared with players in the same Elo bucket. Percent of games with a passed pawn where that pawn eventually promotes or helps convert material advantage. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Passed pawn conversion rate as a percentile relative to games in the same Elo bucket.
Coaching tip: Stop opponent passers before they become forcing: blockade them with a piece, keep rooks behind them, and avoid trades that remove your best blocker unless the pawn is also being eliminated.
Pawn island damage rate inflicted percentile i Percentile rank for pawn island damage rate compared with players in the same Elo bucket. Average rate at which your moves create additional opponent pawn islands. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Pawn island damage rate as a percentile relative to games in the same Elo bucket.
Coaching tip: When a pawn trade is available, ask whether it leaves the opponent with one more pawn island you can attack later. Prefer structural damage that creates a fixed target, not trades that only simplify the position.
Pawn island damage rate suffered percentile i Percentile rank for pawn island damage rate compared with players in the same Elo bucket. Average rate at which your moves create additional opponent pawn islands. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Pawn island damage rate as a percentile relative to games in the same Elo bucket.
Coaching tip: Do not let pawn trades split your structure for free. Before recapturing, choose the pawn capture that keeps your pawns connected, and decline trades that leave multiple isolated targets for the opponent.
Captured opponent pawns on starting square percentile i Percentile rank for captured opponent pawns on starting square compared with players in the same Elo bucket. Average number of opponent pawns you captured before they moved from their starting squares. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Captured opponent pawns on starting square as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: When opponent pawns remain on starting squares, look for clean captures that damage their structure or win material without weakening your own center.
Metrics marked with * are percentile-relative. They compare how often you produce an event versus what players typically produce in similar-strength games, so they are not derived from the benchmark trend-line graphs.
Time Management 15% weight
Category grade 925 · Developing fundamentals · 4 weighted metrics
Cumulative Time By Move - First 60 moves
Benchmark curves use Chess.com-equivalent requested bands of 300, 500, 700, 900, 1100, 1300 and source from the nearest available Lichess benchmark buckets. Only move numbers with at least 250 benchmark samples are drawn. The current benchmark pool reflects mixed longer rapid controls rather than a pure 10-minute sample.
Cumulative Time By Move - First 10 moves
Same cumulative-time benchmark, zoomed to the first 10 moves so opening-time differences are easier to see.
% Cumulative Clock Usage by Move
Each curve is normalized within each game, so the y-value shows how much of that player’s total thinking time had already been spent by that move number.
% Cumulative Clock Usage by Move - First 10 moves
Same cumulative clock-usage benchmark, zoomed to the first 10 moves.
Game Length by Elo Bucket
Whiskers show roughly the 10th to 90th percentile. The box shows the interquartile range, the center line is the median, and the dot marks the average. The rightmost box is your own distribution.
Total Time Spent by Elo Bucket
This uses per-player total thinking time across the current rapid benchmark pool. Whiskers show roughly the 10th to 90th percentile, the box shows the interquartile range, the center line is the median, and the dot marks the average. The rightmost box is your own distribution.
Average Time Spent (Moves 1-10) i Average seconds spent on opening moves. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Useful for seeing whether you overinvest or underinvest time early.
What this means: Average Time Spent (Moves 1-10) grades around 900 on the benchmark scale.
Coaching tip: Use the first 10 moves to finish development with purpose, but do not burn clock solving positions that mostly call for known opening principles.
Average Time Spent (Moves 11-30) i Average seconds spent on middlegame moves. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Often the most calculation-heavy phase for rapid games.
What this means: Average Time Spent (Moves 11-30) grades around 250 on the benchmark scale.
Coaching tip: Save enough time for the middlegame by spending your longer thinks on forcing lines, king safety, and tactical decisions rather than on routine recaptures.
Opening Time Share (Moves 1-10) i The share of your total thinking time spent on your first 10 moves. Lower values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Lower is generally better. Stronger players usually avoid burning too much of their total clock on routine opening moves.
What this means: Opening Time Share (Moves 1-10) grades around 1250 on the benchmark scale.
Coaching tip: Do not burn middlegame time in familiar opening positions; play your prepared developing moves with purpose and keep time for the first real fight.
Middle Time Share (Moves 11-30) i Share of your total time spent on middlegame moves. Higher values are generally better for this metric. Check whether Lifetime, Last 10, Wins, and Losses tell the same story before treating it as a stable habit.
Usually this is where strong rapid players want a healthy chunk of their clock.
What this means: Middle Time Share (Moves 11-30) grades around 1000 on the benchmark scale.
Coaching tip: Strong players preserve enough time for the calculation-heavy middlegame.
Average Time Spent per Move i Average seconds you spend per move across the analyzed games. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Average seconds you spend per move across the analyzed games.
What this means: Average Time Spent per Move grades around 250 on the benchmark scale.
Coaching tip: Use your clock unevenly on purpose: move quickly in familiar, low-risk positions and spend real time when captures, checks, king safety, or pawn breaks change the game.
Average time, endgame i Average seconds spent on moves after move 30. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Average seconds spent on moves after move 30.
What this means: Average time, endgame is already at or above the upper benchmark range.
Coaching tip: In endgames, invest time in king routes, pawn races, and which exchanges help you; one accurate plan matters more than moving quickly.
Time forfeit after being ahead i Percent of games where you lost on time after having held a material lead at some point. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where you lost on time after having held a material lead at some point.
What this means: Time forfeit after being ahead is already at or above the upper benchmark range.
Coaching tip: When ahead, do not spend all your time searching for the perfect finish; choose safe simplifying moves that keep the advantage and preserve enough clock to convert.
Time forfeit after winning advantage i Percent of games where you lost on time after having held a winning material advantage. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where you lost on time after having held a winning material advantage.
What this means: Time forfeit after winning advantage is already at or above the upper benchmark range.
Coaching tip: With a winning advantage, prioritize low-risk conversion: trade active enemy pieces, avoid unnecessary complications, and leave enough time for the technical phase.
Time forfeit loss i Percent of games you lost by time forfeit. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games you lost by time forfeit.
What this means: Time forfeit loss is already at or above the upper benchmark range.
Coaching tip: If you are losing games on time, simplify your opening decisions and set clock checkpoints: enough time left by move 10, move 20, and move 30 to calculate forcing lines.
Time forfeit while significantly ahead i Percent of games where you lost on time while significantly ahead on material. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where you lost on time while significantly ahead on material.
What this means: Time forfeit while significantly ahead is already at or above the upper benchmark range.
Coaching tip: A large material edge is wasted if the clock collapses. Once significantly ahead, switch from hunting more material to fast, safe moves that reduce counterplay.
Time forfeit with winning advantage i Percent of games where you lost on time while still holding a winning material advantage. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Percent of games where you lost on time while still holding a winning material advantage.
What this means: Time forfeit with winning advantage is already at or above the upper benchmark range.
Coaching tip: When the position is already winning, use your time to avoid one-move tactics, then make practical moves quickly instead of recalculating the whole win every turn.
Time share, endgame i Share of your total thinking time spent after move 30. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Share of your total thinking time spent after move 30.
What this means: Time share, endgame is already at or above the upper benchmark range.
Coaching tip: Keep enough time in reserve to convert equal or better endgames cleanly.
Special Moves
Category grade 1300+ · Goal Reached
En passant captures made i Average number of en passant captures you make per game. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
Average number of en passant captures you make per game.
What this means: En passant captures made is already at or above the upper benchmark range.
Coaching tip: Treat en passant like any other capture: take it only after checking whether the opened file, changed pawn structure, and resulting square improve your position.
En passant captures suffered own percentile i Percentile rank for en passant captures suffered compared with players in the same Elo bucket. Average number of en passant captures your opponents make against you per game. Use the benchmark curve and peer percentile context to interpret whether this value is favorable. Compare Lifetime, Last 10, Wins, and Losses to see whether this is a stable habit or a result-dependent pattern.
En passant captures suffered as a percentile relative to games in the same Elo bucket.
Coaching tip: To improve this percentile, work on the same underlying habit: When you push a pawn two squares beside an enemy pawn, pause and ask whether the en passant capture opens lines or wins structure for the opponent.
Metrics marked with * are percentile-relative. They compare how often you produce an event versus what players typically produce in similar-strength games, so they are not derived from the benchmark trend-line graphs.
Methodology
This report uses recent 10-minute live rapid games and compares your feature averages to benchmark curves built from the Lichess.org 10-minute rapid database. Fundamentals Elo applies the displayed category weights, then calibrates the weighted score back to observed Elo on the active scale.
Metrics marked with * are percentile-relative. They compare your raw value with similar-strength peers, and the direction line on each card states whether lower or higher values are considered better.
Fundamentals Elo averages retained metric grades inside each category, applies the displayed category weights, then calibrates the weighted score back to observed Elo. The Practical Sharpness Gap is your most recent actual Elo minus that calibrated fundamentals score.
The score table at the top is for fast scanning. The panels below give the detail and coaching context.