Computer Vision in Oddsmaking
The integration of **Computer Vision (CV)** into oddsmaking has transitioned the industry from manual data entry to automated, sub-second **Optical Tracking**. Historically, professional syndicates exploited the latency gap between live action and TV broadcasts using human scouts (**Courtsiders**). ...
Summary
The integration of **Computer Vision (CV)** into oddsmaking has transitioned the industry from manual data entry to automated, sub-second **Optical Tracking**. Historically, professional syndicates exploited the latency gap between live action and TV broadcasts using human scouts (**Courtsiders**). CV technology closed this gap by extracting 3D skeletal data and ball trajectories directly from video feeds in milliseconds. **Key Impacts:** * **Micro-Betting:** CV enables granular markets (e.g., "Next Pitch Speed") that require instant calculation, previously impossible with human scouts. * **The Data Monopoly:** The need for high-quality video access has monetized **Official Data Rights**, where leagues sell exclusive access to providers like **Genius Sports** and **Sportradar**. * **Automated Pricing:** Real-time coordinates (x,y,z) are fed directly into algorithmic pricing models, removing human intuition from in-play trading.
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