Sports Analytics Giuseppe Prencipe Dipartimento di Informatica - PowerPoint PPT Presentation

Sports Analytics Giuseppe Prencipe Dipartimento di Informatica Università di Pisa

#1 Collect data #2 Analyse them 5BN/year market

#1 #3 Collect data Automatically #2 Analyse them 5BN/year market

MAIN SPORT-TECH CLUSTERS Athletic Fan Performance Experience Smart Club Arena Management Immersive E-Sports Media

MAIN SPORT-TECH CLUSTERS Athletic Fan Performance Experience Smart Club Arena Management Immersive E-Sports Media

At our Department PlayeRank

PlayeRank data-driven performance evaluation g r r g e k d n r e k c n d e r c i d a a i w l d a w e l b e w l b i e t f i h r t d i t f f f f t o e g t h i e f m t h l i f l g r e g i l i r r

Injury Forecasting Collaborations Done: AI-based Injury Forecaster (IF) for FC Barcelona 
 soccer players Spain Ongoing : Explainable AI tool to help Ferencvárosi TC 
 Hungary staff interpret predictions the IF Philadelphia 76ers 
 Future work: Generator of injury-free USA training plans, based on Adversarial Learning and Generative Adversarial Univ of Connecticut Networks (GANs) USA PlayeRank

Tactical Analysis Collaborations Done: AI-based evaluators for teams UEFA 
 Europe and players Fraunhofer 
 Bonn, Germany Ongoing : Explainable AI tools for Northeastern Univ. 
 forecasting career evolution of players Boston, USA and performance of teams Queen Mary Univ. 
 Future work: London, UK ● Match simulators based on GANs FIGC 
 ● Optimal team formation Italy ● Automatic commentator PlayeRank

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Video analysis Live Stroke analysis Live AI data Social network & Heatmap interpretation

Problem 1 : position tracking Video processing, with object detection + projection on the court, using keypoints to calibrate Problem 2 : tracking arm’s movements with smartwatch Classification with supervised learning of the gesture (data from accelerometer and gyroscope) Problem 3 : coaching Profile of the player and adaptive expert system for real-time strategic support

Ongoing & Future work: • Effective position tracking for double • Automatic calibration • Pose estimation and ML to track arm’s movements through video • Energy issues • Tackle other sports