SoccerCPD: Formation and Role Change-Point Detection in Soccer Matches Using Spatiotemporal Tracking Data

arXiv:2206.10926 · stat.AP, stat.ML · Submitted 2022-06-22 · Read on arXiv

stat.AP, stat.ML

Submitted: 2022-06-22

Updated: 2023-06-12

Journal ref: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)

DOI: 10.1145/3534678.3539150

Code: https://github.com/pientist/soccercpd

Project page: https://rpy2.github.io

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Clustering — 11× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Adjacency Matrix — 3× in this paper · explained in 1 episode
• Hamming Distance — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Asymptotic distribution-free change-point detection for data with repeated observations
• Graph-Based Two-Sample Tests for Data with Repeated Observations

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