Paul Power
ABSTRACT
In soccer, the most frequent event that occurs is a pass. For a trained eye, there are a myriad of adjectives which could describe this event (e.g., "majestic pass", "conservative" to "poor-ball"). However, as these events are needed to be coded live and in real-time (most often by human annotators), the current method of grading passes is restricted to the binary labels 0 (unsuccessful) or 1 (successful). Obviously, this is sub-optimal because the quality of a pass needs to be measured on a continuous spectrum (i.e., 0 to 100%) and not a binary value. Additionally, a pass can be measured across multiple dimensions, namely: i) risk -- the likelihood of executing a pass in a given situation, and ii) reward -- the likelihood of a pass creating a chance. In this paper, we show how we estimate both the risk and reward of a pass across two seasons of tracking data captured from a recent professional soccer league with state-of-the-art performance, then showcase various use cases of our deployed passing system.
Supplemental Material
- A. Bialkowski, P. Lucey, P. Carr, Y. Yue, S. Sridharan, and year=2014 I. Matthews, booktitle=ICDM. Large-scale analysis of soccer matches using spatiotemporal tracking data.Google Scholar
- J. Brooks, M. Kerr, and J. Gutag. 2016. Developing a Data-Driven Player Ranking in Soccer Using Predictive Model Weights. In KDD . Google ScholarDigital Library
- Daniel Cervone, Alex D'Amour, Luke Bornn, and Kirk Goldsberry. 2016. A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes. J. Amer. Statist. Assoc. 111, 514 (2016), 585--599. Google ScholarCross Ref
- L. Gyarmati and X. Anguera. 2015. Automatic Extraction of the Passing Strategies of Soccer Teams. In KDD Workshop on Large-Scale Sports Analytics.Google Scholar
- L. Gyarmati and R. Stanojevic. 2016. QPass: a Merit-based Evaluation of Soccer Passes. In KDD Workshop on Large-Scale Sports Analytics.Google Scholar
- M. Horton, J. Gudmundsson, S. Chawla, and J. Estephan. 2014. Classification of passes in football matches using spatiotemporal data. In KDD Workshop on Large-Scale Sports Analytics.Google Scholar
- D. Link, S. Lang, and P. Seidenschwarz. 2016. Real Time Quantification of Dangerousity in Football Using Spatiotemporal Tracking Data. PLoS ONE (2016).Google Scholar
- P. Lucey, A. Bialkowski, P. Carr, E. Foote, and I. Matthews. 2012. Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League.Google Scholar
- P. Lucey, D. Oliver, P. Carr, J. Roth, and I. Matthews. 2013. Assessing team strategy using spatiotemporal data. In KDD. Google ScholarDigital Library
- I McHale and L Szczepanski. 2015. Beyond completion rate: evaluating passing ability of footballers. Royal Statistical Society, Series A. (2015).Google Scholar
- M. Monfort P. Carr P. Lucey, A. Bialkowski and I. Matthews. 2015. Quality vs Quantity: Improved shot prediction in soccer using strategic features from spatiotemporal data. In MIT Sloan Sports Analytics Conference.Google Scholar
- Marti Perarnau. 2014. Pep Confidential: Inside Pep Guardiola's First Season at Bayern Munich. Birlinn.Google Scholar
- J. Skyes and N. Paine. 2016. How One Man's Bad Math Helped Ruin Decades Of English Soccer. (2016). https://fivethirtyeight.com/features/ how-one-mans-bad-math-helped-ruin-decades-of-english-soccer/Google Scholar
- T. Taki and J. Hasegawa. 2000. Visualization of dominant region in team games and its application to teamwork analysis. In Computer Graphics International. 227--235. Google ScholarCross Ref
- Qing Wang, Hengshu Zhu, Wei Hu, Zhiyong Shen, and Yuan Yao. 2015. Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications. In KDDGoogle Scholar
Index Terms
- Not All Passes Are Created Equal: Objectively Measuring the Risk and Reward of Passes in Soccer from Tracking Data
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