Player tracking data in sports

SA Kovalchik - Annual Review of Statistics and Its Application, 2023 - annualreviews.org
There has been rapid growth in the collection of player tracking data in recent years. These
data, providing spatiotemporal locations of players and ball at high resolution, have spurred …

Miss it like Messi: Extracting value from off-target shots in soccer

E Baron, N Sandholtz, D Pleuler… - Journal of Quantitative …, 2024 - degruyter.com
Measuring soccer shooting skill is a challenging analytics problem due to the scarcity and
highly contextual nature of scoring events. The introduction of more advanced data …

Data-Driven Tennis Strategy Evaluation through Hierarchical Markov Models

X Fan, Z Li, X Zhang, R Yang, H Tan, Y Chen… - Proceedings of the …, 2024 - dl.acm.org
This study introduces a novel methodology for evaluating tennis player performance through
the application of Hierarchical Markov Models (HMM). By dissecting the game's flow and …

[PDF][PDF] Aiming for Competitive Balance

R Walker - nessis.org
Aiming for Competitive Balance Page 1 Applied Optimization Lab, University of Toronto
Aiming for Competitive Balance Designing Fair Handicap Systems for Darts using a Markov …