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Sports tracking data are the high-resolution spatiotemporal observations of a competitive event. The growing collection of these data in professional sport allows us to address a fundamental problem of modern sport: how to attribute value…

Applications · Statistics 2020-05-27 Stephanie Kovalchik , Martin Ingram , Kokum Weeratunga , Cagatay Goncu

Orientation is a crucial skill for football players that becomes a differential factor in a large set of events, especially the ones involving passes. However, existing orientation estimation methods, which are based on computer-vision…

Machine Learning · Computer Science 2021-06-02 Adrià Arbués-Sangüesa , Adrián Martín , Paulino Granero , Coloma Ballester , Gloria Haro

Tracking data is a powerful tool for basketball teams in order to extract advanced semantic information and statistics that might lead to a performance boost. However, multi-person tracking is a challenging task to solve in single-camera…

Computer Vision and Pattern Recognition · Computer Science 2019-07-11 Adrià Arbués-Sangüesa , Gloria Haro , Coloma Ballester

Pursuit-evasion scenarios appear widely in robotics, security domains, and many other real-world situations. We focus on two-player pursuit-evasion games with concurrent moves, infinite horizon, and discounted rewards. We assume that the…

Computer Science and Game Theory · Computer Science 2016-08-05 Karel Horák , Branislav Bošanský

We construct a saddle point in a class of zero-sum games between a stopper and a singular-controller. The underlying dynamics is a one-dimensional, time-homogeneous, singularly controlled diffusion taking values either on $\mathbb{R}$ or on…

Optimization and Control · Mathematics 2024-10-28 Andrea Bovo , Tiziano De Angelis

Spacecraft and drones aimed at exploring our solar system are designed to operate in conditions where the smart use of onboard resources is vital to the success or failure of the mission. Sensorimotor actions are thus often derived from…

In the domain of Sport Analytics, Global Positioning Systems devices are intensively used as they permit to retrieve players' movements. Team sports' managers and coaches are interested on the relation between players' patterns of movements…

Applications · Statistics 2018-05-08 Rodolfo Metulini

Data analytics in sports is crucial to evaluate the performance of single players and the whole team. The literature proposes a number of tools for both offence and defence scenarios. Data coming from tracking location of players, in this…

Applications · Statistics 2019-06-28 Tullio Facchinetti , Rodolfo Metulini , Paola Zuccolotto

In this study, we investigate the interplay between player speed and ball control in soccer. We present a novel pitch control algorithm that quantifies the probability of a player gaining possession at any location on the field. Our model…

Physics and Society · Physics 2026-04-15 Marco F. da Silva , A. Novillo , A. Aleta , R. Lopez del Campo , R. Resta , Y. Moreno , J. M. Buldu

Evolutionary game theory studies populations that change in response to an underlying game. Often, the functional form relating outcome to player attributes or strategy is complex, preventing mathematical progress. In this work, we…

Computer Science and Game Theory · Computer Science 2025-11-25 Pablo Lechon-Alonso , Andrew Dennehy , Ruizheng Bai , Nicolas Sanchez , Derek K. Wise , David Sewell , David Rosenbluth , Alexander Strang

Multi-object tracking (MOT) is a critical and challenging task in computer vision, particularly in situations involving objects with similar appearances but diverse movements, as seen in team sports. Current methods, largely reliant on…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Atom Scott , Ikuma Uchida , Ning Ding , Rikuhei Umemoto , Rory Bunker , Ren Kobayashi , Takeshi Koyama , Masaki Onishi , Yoshinari Kameda , Keisuke Fujii

Ultimate frisbee is one of the fastest-growing sports in the world. In the United States, the governing body USA Ultimate uses a custom power rating system to determine bid allocations for various competitive tournaments. However, this…

Applications · Statistics 2022-01-17 Alexander N. Sietsema

Tracking objects in soccer videos is extremely important to gather both player and team statistics, whether it is to estimate the total distance run, the ball possession or the team formation. Video processing can help automating the…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Anthony Cioppa , Silvio Giancola , Adrien Deliege , Le Kang , Xin Zhou , Zhiyu Cheng , Bernard Ghanem , Marc Van Droogenbroeck

It is often necessary for drones to complete delivery, photography, and rescue in the shortest time to increase efficiency. Many autonomous drone races provide platforms to pursue algorithms to finish races as quickly as possible for the…

Robotics · Computer Science 2023-06-29 Shuli Lv , Yan Gao , Jiaxing Che , Quan Quan

The automatic detection of events in complex sports games like soccer and handball using positional or video data is of large interest in research and industry. One requirement is a fundamental understanding of underlying concepts, i.e.,…

Computer Vision and Pattern Recognition · Computer Science 2021-08-27 Henrik Biermann , Jonas Theiner , Manuel Bassek , Dominik Raabe , Daniel Memmert , Ralph Ewerth

I address the difficult challenge of measuring the relative influence of competing basketball game strategies, and I apply my analysis to plays resulting in three-point shots. I use a glut of SportVU player tracking data from over 600 NBA…

Applications · Statistics 2017-03-22 Bradley A. Sliz

Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This paper presents a comprehensive survey of deep learning in sports performance, focusing on…

Computer Vision and Pattern Recognition · Computer Science 2023-07-10 Zhonghan Zhao , Wenhao Chai , Shengyu Hao , Wenhao Hu , Guanhong Wang , Shidong Cao , Mingli Song , Jenq-Neng Hwang , Gaoang Wang

With the NBA's adoption of in-game limb tracking in 2023, Sony's Hawk-Eye system now captures high-resolution, 3D poses of players and the ball 60 times per second. Linking these data to key events opens a new era in NBA analytics. Here, we…

Applications · Statistics 2026-04-30 Jake McGrath , Amanda Glazer , Vanna Bushong , Michelle Nguyen , Kirk Goldsberry

How much is an on-ball screen worth? How much is a backdoor cut away from the ball worth? Basketball is one of a number of sports which, within the past decade, have seen an explosion in quantitative metrics and methods for evaluating…

Applications · Statistics 2019-02-22 Anthony Sicilia , Konstantinos Pelechrinis , Kirk Goldsberry

Modern basketball is all about creating efficient shots, that is, shots with high payoff. This is not necessarily equivalent to creating looks with the highest probability of success. In particular, the two most efficient shots in the NBA -…

Applications · Statistics 2021-05-28 Konstantinos Pelechrinis , Kirk Goldsberry