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10min Rapid fundamentals report

For Rookeroosky

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.

Confidence: Excellent i Based on 100+ analyzed games. The patterns should be quite representative. Developing fundamentals
Most Recent Elo
Chess.com Elo:
757
Fundamentals Elo 950
10min Rapid Games Sourced 710
10min Rapid Games Analyzed 710
Distinct opponents 695
Date range 02/28/26 → 05/26/26

Quick Grade Table Actual Elo = 757

Opening Discipline 1175 10% weight 19 metrics · click to expand · click to collapse
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 19 metrics · click to expand · click to collapse
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 9 metrics · click to expand · click to collapse
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 26 metrics · click to expand · click to collapse
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 3 metrics · click to expand · click to collapse
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 20 metrics · click to expand · click to collapse
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 12 metrics · click to expand · click to collapse
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+ 2 metrics · click to expand · click to collapse
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 -
Opening Discipline 1175 10% weight
1175
Strong improving habits
8 weighted metrics
Piece Coordination & Activity 1100 30% weight
1100
Strong improving habits
4 weighted metrics
Material & Conversion 800 15% weight
800
Developing fundamentals
2 weighted metrics
Tactical Awareness 925 25% weight
925
Developing fundamentals
2 weighted metrics
Midgame Execution
65%
Above average
3 metrics
Pawn Structure & Endgame 250 5% weight
250
Foundational work needed
1 weighted metrics
Time Management 925 15% weight
925
Developing fundamentals
4 weighted metrics
Special Moves 1300+
1300+
Goal Reached
2 metrics
Actual Elo & Fundamental Score
Actual Elo 757 Fundamentals 950
Displayed on the selected Elo scale.
Practical Sharpness Gap
-189
Actual minus fundamentals
Your calibrated fundamentals score is higher than your actual Elo. Treat this as rating points leaking through blunders, time trouble, conversion failures, or inconsistency.

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

Raw Lichess Values by Elo Bucket
Trend Line for assigning Elo Grades to Values

Opening Discipline 10% weight

Category grade 1175 · Strong improving habits · 8 weighted metrics

19 panels

Piece Coordination & Activity 30% weight

Category grade 1100 · Strong improving habits · 4 weighted metrics

19 panels

Material & Conversion 15% weight

Category grade 800 · Developing fundamentals · 2 weighted metrics

9 panels

Tactical Awareness 25% weight

Category grade 925 · Developing fundamentals · 2 weighted metrics

26 panels

Midgame Execution

Category grade 65% · Above average

3 panels

Pawn Structure & Endgame 5% weight

Category grade 250 · Foundational work needed · 1 weighted metrics

20 panels

Time Management 15% weight

Category grade 925 · Developing fundamentals · 4 weighted metrics

12 panels

Special Moves

Category grade 1300+ · Goal Reached

2 panels

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.