Computational Modeling Of Pass Effectiveness In Soccer
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DOI: 10.1142/S0219525918500108
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- David Reed & Mike Hughes, 2006. "An Exploration of Team Sport as a Dynamical System," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 6(2), pages 114-125, November.
- Daniel Cervone & Alex D’Amour & Luke Bornn & Kirk Goldsberry, 2016. "A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 585-599, April.
- Daniel Link & Steffen Lang & Philipp Seidenschwarz, 2016. "Real Time Quantification of Dangerousity in Football Using Spatiotemporal Tracking Data," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-16, December.
- Athalie Redwood-Brown, 2008. "Passing patterns before and after goal scoring in FA Premier League Soccer," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 8(3), pages 172-182, November.
- Łukasz Szczepański & Ian McHale, 2016. "Beyond completion rate: evaluating the passing ability of footballers," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(2), pages 513-533, February.
- Michael Stöckl & Denise Plück & Martin Lames, 2017. "Modelling game sports as complex systems – application of recurrence analysis to golf and soccer," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 23(4), pages 399-415, July.
- Hugo Folgado & Ricardo Duarte & Orlando Fernandes & Jaime Sampaio, 2014. "Competing with Lower Level Opponents Decreases Intra-Team Movement Synchronization and Time-Motion Demands during Pre-Season Soccer Matches," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-9, May.
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- Serafeim Moustakidis & Spyridon Plakias & Christos Kokkotis & Themistoklis Tsatalas & Dimitrios Tsaopoulos, 2023. "Predicting Football Team Performance with Explainable AI: Leveraging SHAP to Identify Key Team-Level Performance Metrics," Future Internet, MDPI, vol. 15(5), pages 1-18, May.
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Keywords
Data analytics; information modeling; genetic algorithms; sport analytics; complex systems;All these keywords.
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