[
Brefeld, U., Lasek, J., & Mair, S. (2018). Probalistic movement models and zones of control. In P. Lopes, W. Dubitzky, D. Berrar, & J. Davis, Machine Learning. Springer
]Search in Google Scholar
[
Casal, C. A., Maneiro, R., Ardá, T., Marí, F. J., & Losada, J. L. (2017). Possession zone as a performance indicator in football. The game of the best teams. Frontiers in Psychology, 8, 1–11. https://doi.org/10.3389/fpsyg.2017.0117610.3389/fpsyg.2017.01176550994228769833
]Search in Google Scholar
[
Collet, C. (2012). The Possession Game? A Comparative Analysis of Ball Retention and Team Success in European and International Football, 2007-2010. Journal of Sports Science, 31, 123-136.10.1080/02640414.2012.72745523067001
]Search in Google Scholar
[
Duarte, R., Araújo, D., Davids, K., Travassos, B., Gazimba, V., & Sampaio, J. (2012). Interpersonal coordination tendencies shape 1-vs-1 sub-phase performance outcomes in youth soccer. Journal of Sports Sciences, 30(9), 871-877.10.1080/02640414.2012.67508122545768
]Search in Google Scholar
[
Kempe, M.; Vogelbein, M., Memmert, D., &, Nopp, S. (2014). Possession vs. Direct Play: Evaluating Tactical Behavior in Elite Soccer. International Journal of Sports Science. 4(6A), 35–41.
]Search in Google Scholar
[
Low, B., Coutinho, D., Gonçalves, B., Rein, R., Memmert, D., & Sampaio, J. (2019). A systematic review of collective tactical behaviours in football using positional data. Sports Medicine, 1-43.
]Search in Google Scholar
[
Memmert, D. (2015). Teaching Tactical Creativity in Sport: Research and Practice. Abingdon: Routledge.10.4324/9781315797618
]Search in Google Scholar
[
Memmert, D. & Perl, J. (2009). Analysis and Simulation of Creativity Learning by Means of Artificial Neural Networks. Human Movement Science, 28, 263–282.10.1016/j.humov.2008.07.00619110331
]Search in Google Scholar
[
Memmert, D., & Raabe, D. (2018). Data Analytics in Football. Positional Data Collection, Modelling and Analysis. Abingdon: Routledge.10.4324/9781351210164
]Search in Google Scholar
[
Memmert, D., & Rein, R. (2018). Match analysis, Big Data and tactics: current trends in elite soccer. German Journal of Sport Medicine, 69, 65-72.10.5960/dzsm.2018.322
]Search in Google Scholar
[
Memmert, D., Lemmink, K. A. P. M., & Sampaio, J. (2017). Current Approaches to Tactical Performance Analyses in Soccer using Position Data. Sports Medicine, 47(1), 1-10.10.1007/s40279-016-0562-527251334
]Search in Google Scholar
[
Memmert, D., Raabe, D., Schwab, S., & Rein, R., (2019). A Tactical Comparison of the 4-2-3-1 and 3-5-2 Formation in Soccer: A Theory-Oriented, Experimental Approach Based on Positional Data in an 11 vs. 11 Game Set-Up. PloS ONE 14(1): e0210191.
]Search in Google Scholar
[
Perl, J. (2018). Formation-based modelling and simulation of success in soccer. International Journal of Computer Science in Sport, 17(2), 204-215.10.2478/ijcss-2018-0012
]Search in Google Scholar
[
Perl, J. & Memmert, D. (2011). Net-Based Game Analysis by Means of the Software Tool SOCCER. International Journal of Computer Science in Sport, 10, 77-84.
]Search in Google Scholar
[
Perl, J., & Memmert, D. (2017). A Pilot Study on Offensive Success in Soccer Based on Space and Ball Control–Key Performance Indicators and Key to Understand Game Dynamics. International Journal of Computer Science in Sport, 16(1), 65-75.10.1515/ijcss-2017-0005
]Search in Google Scholar
[
Perl, J., & Memmert, D. (2018a). Soccer: Process and interaction. In A. Baca & J. Perl, Modelling and Simulation in Sport and Exercise (pp. 73-94). Abingdon: Routledge.10.4324/9781315163291-4
]Search in Google Scholar
[
Perl, J., & Memmert, D. (2018b). Key performance indicators. In A. Baca & J. Perl, Modelling and Simulation in Sport and Exercise (pp. 146-166). Abingdon: Routledge.10.4324/9781315163291-8
]Search in Google Scholar
[
Perl, J., Grunz, A. & Memmert, D. (2013). Tactics in soccer: an advanced approach. International Journal of Computer Science in Sport, 12, 33-44.
]Search in Google Scholar
[
Rein, R., & Memmert, D. (2016). Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science. SpringerPlus, 5(1), 1410.10.1186/s40064-016-3108-2499680527610328
]Search in Google Scholar
[
Sarmento, H., Marcelino, R., Anguera, M. T., CampaniÇo, J., Matos, N., & LeitÃo, J. C. (2014). Match analysis in football: a systematic review. Journal of Sports Sciences, 32, 1831–1843. https://doi.org/10.1080/02640414.2014.89885210.1080/02640414.2014.89885224787442
]Search in Google Scholar
[
Stanhope, J. (2001). An investigation into possession with respect to time, in the soccer world cup 1994. Notational analysis of sport III, 155-162.
]Search in Google Scholar
[
Taki, T., & Hasegawa, J. (1998). Dominant region: a basic feature for group motion analysis and its application to teamwork evaluation in soccer games. Elektronic imaging ´99, S10.10.1117/12.333797
]Search in Google Scholar
