ShotQuality utilizes computer vision and AI to analyze player location data and generate ShotQuality Scores, providing detailed insights into shot probabilities and performance metrics for basketball games. This technology addresses the unpredictability of game outcomes by offering data-driven assessments that enhance decision-making for teams, traders, and analysts.
Funding
$3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Basketball game outcomes are often unpredictable due to the inherent variability in shot-making, making it difficult to accurately assess team and player performance. Traditional basketball analytics lack the granularity to evaluate the quality of shots taken, leading to incomplete insights for teams, traders, and analysts.
Solution
ShotQuality employs computer vision and AI to analyze player location data, generating ShotQuality Scores that provide a predictive assessment of shot probabilities. By evaluating factors such as defensive pressure, shooter ability, and shot type, ShotQuality quantifies the expected points per shot and overall game outcome. This enables a more precise evaluation of team and player performance, independent of actual results, and facilitates data-driven decision-making for live betting, trading, and player evaluation. The platform offers both historical data and live scores, providing comprehensive coverage for NCAAM, NBA, and WNBA games.
Target Audience
The primary target audience includes basketball teams, sports traders, DFS players, and analysts seeking advanced data and predictive analytics to improve decision-making and gain a competitive edge.
Features
- Player location data: X/Y coordinates for all players, capturing positioning and movement
- ShotQuality Scores: Post-game scores reflecting the expected outcome based on shot quality
- Live ShotQuality Scores: Real-time scores available during live games for in-game analysis
- Adjusted Shot Quality (adjSQ): Accounts for strength of schedule to provide a normalized performance metric
- Rim & 3 Rate: Percentage of possessions resulting in high-value shots at the rim or three-pointers
- SQ PPS (ShotQuality Points Per Shot): Incorporates up to 90 variables, including shot type, shooter ability, defender location, and defender height
- API access: Enables integration of ShotQuality data into existing workflows and platforms
- ScoreCenter: Live platform providing real-time ShotQuality scores and analysis