explain_match
ChatGPTWhy a charted match went the way it did: points won, and each player's gain or loss against expectation split into direction choice, shot selection and execution, by stroke and by set, the loser's biggest leaks and the points each player left on the table by not choosing the best-value direction. Finds the most recent charted match for a player, narrowed by opponent, tournament or year, and lists other matching matches.
get_game_plan
ChatGPTA scouting game plan for one player against an opponent, from 11,822 shot-by-shot charted ATP and WTA matches: the match forecast with a 90% range (same tour only), where to serve first serves on each court against this returner and the optimal mix, which returns work best against this server, the rally shots to favour and to avoid, what the opponent tends to serve, career shot ratings side by side, style compatibility and the charted head-to-heads. Optionally for one surface.
get_leaders
ChatGPTTop 10 ATP or WTA players on one tactical measure: direction_choice: Picks the more valuable direction for the stroke being hit (per 100 shots, opponent-adjusted). execution: Gets more out of a shot than the same choice usually yields (per 100 shots, opponent-adjusted). shot_selection: Chooses strokes worth more than the position average; partly reflects the ball they were given (per 100 shots, opponent-adjusted). fewest_points_left: Smallest gap per 100 shots between the direction chosen and the best-value direction for that stroke. most_exploitable_serve: Points per 100 first serves an optimal direction mix would win over the current one, allowing for returners reading a habit. serve_off_equilibrium: First-serve directions that win at clearly different rates (p < 0.01): usage-weighted gap per 100 first serves and the direction to use more. long_rallies_hold_up: Execution from the ninth shot of a rally on, minus the player's own earlier-rally execution, per 100 shots (ATP only). long_rallies_fade: The same long-rally measure, most fading first (ATP only). adaptability: Moves the first-serve mix toward what has been winning in earlier sets, per 100 first serves. A weak habit, not a proven gain. adapts_fastest: The same, every two to three service games, per 100 first serves. Players need at least 5,000 modelled shots.
get_player
ChatGPTOne charted player's scouting report, found by name: serve and return points won against an average opponent, shot ratings per 100 shots (direction choice, shot selection, execution, long rallies, points left on the table) with tour percentiles, first-serve direction habits per court including on break points, how exploitable the serve is and the optimal mix, the shots they hurt opponents with most and the shots they are most exposed to, best-equipped opponents, stylistically similar players and recent charted matches. When the name matches several players it returns the best match and lists the others.
explain_match
ClaudeWhy a charted match went the way it did: points won, and each player's gain or loss against expectation split into direction choice, shot selection and execution, by stroke and by set, the loser's biggest leaks and the points each player left on the table by not choosing the best-value direction. Finds the most recent charted match for a player, narrowed by opponent, tournament or year, and lists other matching matches.
get_game_plan
ClaudeA scouting game plan for one player against an opponent, from 11,822 shot-by-shot charted ATP and WTA matches: the match forecast with a 90% range (same tour only), where to serve first serves on each court against this returner and the optimal mix, which returns work best against this server, the rally shots to favour and to avoid, what the opponent tends to serve, career shot ratings side by side, style compatibility and the charted head-to-heads. Optionally for one surface.
get_leaders
ClaudeTop 10 ATP or WTA players on one tactical measure: direction_choice: Picks the more valuable direction for the stroke being hit (per 100 shots, opponent-adjusted). execution: Gets more out of a shot than the same choice usually yields (per 100 shots, opponent-adjusted). shot_selection: Chooses strokes worth more than the position average; partly reflects the ball they were given (per 100 shots, opponent-adjusted). fewest_points_left: Smallest gap per 100 shots between the direction chosen and the best-value direction for that stroke. most_exploitable_serve: Points per 100 first serves an optimal direction mix would win over the current one, allowing for returners reading a habit. serve_off_equilibrium: First-serve directions that win at clearly different rates (p < 0.01): usage-weighted gap per 100 first serves and the direction to use more. long_rallies_hold_up: Execution from the ninth shot of a rally on, minus the player's own earlier-rally execution, per 100 shots (ATP only). long_rallies_fade: The same long-rally measure, most fading first (ATP only). adaptability: Moves the first-serve mix toward what has been winning in earlier sets, per 100 first serves. A weak habit, not a proven gain. adapts_fastest: The same, every two to three service games, per 100 first serves. Players need at least 5,000 modelled shots.
get_player
ClaudeOne charted player's scouting report, found by name: serve and return points won against an average opponent, shot ratings per 100 shots (direction choice, shot selection, execution, long rallies, points left on the table) with tour percentiles, first-serve direction habits per court including on break points, how exploitable the serve is and the optimal mix, the shots they hurt opponents with most and the shots they are most exposed to, best-equipped opponents, stylistically similar players and recent charted matches. When the name matches several players it returns the best match and lists the others.
