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ORCIDInternational Journal of Computer Science in Sport, Volume 20
Volume 20, Number 1, January 2021
- Thomas Blobel, Martin Rumo, Martin Lames:
Sports Information Systems: A systematic review. 1-22 - Lars Magnus Hvattum, Garry A. Gelade:
Comparing bottom-up and top-down ratings for individual soccer players. 23-42 - Jürgen Perl, Jonas Imkamp, Daniel Memmert:
Strictness vs. flexibility: Simulation-based recognition of strategies and its success in soccer. 43-54 - J. Fahey-Gilmour, J. Heasman, Brent Rogalski, B. Dawson, Peter Peeling
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Can Elite Australian Football Player's Game Performance Be Predicted? 55-78 - J. Zhánel, P. Holecek, A. Zdercík:
Comparison of the Evaluation of Performance Preconditions in Tennis with the Use of Equal and Expertly Judged Criteria Weights. 79-91 - Mark Connor, David Fagan, Barry Watters, Fergal McCaffery, Michael O'Neill:
Optimizing Team Sport Training With Multi-Objective Evolutionary Computation. 92-105 - Thorben Menrad, Jürgen Edelmann-Nusser:
Validation of Velocity Measuring Devices in Velocity Based Strength Training. 106-118
Volume 20, Number 2, December 2021
- Jayamini Ranaweera, Marco Zanin, Dan Weaving, Chathura Withanage, Gregory Roe:
Optimizing Player Management Processes in Sports: Translating Lessons from Healthcare Process Improvements to Sports. 119-146 - M. Mandorino, A. J. Figueiredo, Gianluca Cima, Antonio Tessitore:
A Data Mining Approach to Predict Non-Contact Injuries in Young Soccer Players. 147-163 - Andreas Stamatis, Zacharias Papadakis, Grant B. Morgan, Ali Boolani:
Offseason Fitness Tests a Collegiate Basketball Strength Coach Should Choose to Predict In-Season Perfomance Based on Sex. 164-174 - P. J. Watson, Jonathan E. Fieldsend, V. H. Stiles:
A scoping review using social network analysis techniques to summarise the prevalance of methods used to acquire data for athlete survelliance in sport. 175-197
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