Editing Ai Sports (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Player tracking''' — Monitoring athlete positions and movements in real time using cameras, GPS, or wearable sensors.
* '''Expected Goals (xG)''' — A probabilistic metric in soccer predicting the likelihood a shot will result in a goal, based on shot location and context.
* '''WAR (Wins Above Replacement)''' — A baseball statistic quantifying a player's total contribution compared to a replacement-level player.
* '''Optical tracking''' — Using computer vision on broadcast video or dedicated cameras to extract player and ball positions.
* '''STATS Edge / Hawk-Eye''' — Commercial player and ball tracking systems used by professional leagues.
* '''Injury prediction''' — ML models forecasting player injury risk from workload, biometric, and historical data.
* '''Game outcome prediction''' — ML models predicting match results from team statistics, player form, and contextual factors.
* '''Opponent scouting''' — Using AI to analyze opponent tendencies, patterns, and vulnerabilities from historical performance data.
* '''Draft analytics''' — ML systems assessing amateur athlete potential from college/youth statistics and biometrics.
* '''In-game decision support''' — Real-time AI providing coaches with probability-based recommendations during matches.
* '''Fantasy sports AI''' — ML systems for optimizing fantasy sports lineups and player valuations.
* '''Computer vision (sports)''' — Detecting and tracking players, ball, and game events from video.
* '''Performance optimization''' — Using sensor data and biomechanics models to improve athletic technique.
* '''Pose estimation (sports)''' — Estimating athlete body pose from video for technique analysis.
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