Computer Vision in Sports Wagering

The integration of **Computer Vision (CV)** into sports wagering marks the transition from historical statistical modeling to real-time physics-based pricing. This technology replaces manual data entry with automated **Optical Tracking**, utilizing deep learning (Pose Estimation, Skeleton Tracking) to map player and ball movements in 3D space with millisecond latency. **Key Impacts:** * **Micro-Betting:** CV enables high-frequency markets (e.g., "outcome of the next pitch") by processing granular data like velocity and separation distance that manual scouts cannot capture. * **Latency Reduction:** By processing data directly from stadium cameras, bookmakers can update odds faster than TV broadcasts, neutralizing **Courtsiders** (arbitrageurs at the venue). * **Integrity:** Biometric analysis establishes performance baselines, allowing operators to detect match-fixing anomalies (e.g., unnatural reaction times) that human regulators might miss. This technology has solidified the dominance of official data providers (e.g., **Genius Sports**, **Sportradar**) who control the physical tracking infrastructure within leagues.