References
- Alves, D. L., Osiecki, R., Palumbo, D. P., Moiano-Junior, J. V. M., Oneda, G., & Cruz, R. (2019). What variables can differentiate winning and losing teams in the group and final stages of the 2018 FIFA World Cup? International Journal of Performance Analysis in Sport, 19(2), 248–257. https://doi.org/10.1080/24748668.2019.1593096
- Brinkjans, D., Memmert, D., Imkamp, J., & Perl, J. (2022). Success-Score in Professional Soccer Validation of a Dynamic Key Performance Indicator Combining Space Control and Ball Control within Goalscoring Opportunities. International Journal of Computer Science in Sport, 21(2), 32–42. https://doi.org/doi:10.2478/ijcss-2022-0009
- Caetano, F. G., Barbon Junior, S., Torres, R. D. S., Cunha, S. A., Ruffino, P. R. C., Martins, L. E. B., & Moura, F. A. (2021). Football player dominant region determined by a novel model based on instantaneous kinematics variables. Scientific Reports, 11(1), 18209. https://doi.org/10.1038/s41598-021-97537-4
- Caicedo-Parada, S., Lago-Peñas, C., & Ortega-Toro, E. (2020). Passing Networks and Tactical Action in Football: A Systematic Review. International Journal of Environmental Research and Public Health, 17(18), 6649. https://doi.org/10.3390/ijerph17186649
- Castellano, J., & Pic, M. (2019). Identification and Preference of Game Styles in LaLiga Associated with Match Outcomes. International Journal of Environmental Research and Public Health, 16(24), 5090. https://doi.org/10.3390/ijerph16245090
- Collet, C. (2013). The possession game? A comparative analysis of ball retention and team success in European and international football, 2007 2010. Journal of Sports Sciences, 31(2), 123–136. https://doi.org/10.1080/02640414.2012.727455
- Conroy, R. M. (2012). What Hypothess do “Nonparametric” Two-Group Tests Actually Test? The Stata Journal: Promoting Communications on Statistics and Stata, 12(2), 182–190. https://doi.org/10.1177/1536867X1201200202
- Dehesa, R., Vaquera, A., Gonçalves, B., Mateus, N., Gomez-Ruano, M. Á., & Sampaio, J. (2019). Key game indicators in NBA players’ performance profiles. Kinesiology, 51(1), 92–101. https://doi.org/10.26582/k.51.1.9
- Fernandez, J., & Bornn, L. (2018). Wide Open Spaces: A statistical technique for measuring space creation in professional soccer. MIT Sloan Sports Analytics Conference.
- Field, A. P., Miles, J., & Field, Z. (2012). Discovering statistics using R. Sage.
- Fujimura, A., & Sugihara, K. (2005). Geometric analysis and quantitative evaluation of sport teamwork. Systems and Computers in Japan, 36(6), 49–58. https://doi.org/10.1002/scj.20254
- Gollan, S., Ferrar, K., & Norton, K. (2018). Characterising game styles in the English Premier League using the “moments of play” frameword. International Journal of Performance Analysis in Sport, 18(6), 998–1009. https://doi.org/10.1080/24748668.2018.1539383
- Herold, M., Kempe, M., Bauer, P., & Meyer, T. (2021). Attacking Key Performance Indicators in Soccer: Current Practice and Perceptions from the Elite to Youth Academy Level. Journal of Sports Science and Medicine, 20, 158–169. https://doi.org/10.52082/jssm.2021.158
- Jones, P. D., James, N., & Mellalieu, S. D. (2004). Possession as a performance indicator in soccer. International Journal of Performance Analysis in Sport, 4(1), 98–102. https://doi.org/10.1080/24748668.2004.11868295
- Kempe, M., Vogelbein, M., Memmert, D., & Nopp, S. (2014). Possession vs. Direct Play: Evaluating Tactical Behavior in Elite Soccer. International Journal of Sports Science, 7.
- Kirkwood, B. R., Sterne, J. A. C., & Kirkwood, B. R. (2003). Essential medical statistics (2nd ed). Blackwell Science.
- Lago-Peñas, C., Lago-Ballesteros, J., & Rey, E. (2011). Differences in performance indicators between winning and losing teams in the UEFA Champions League. Journal of Human Kinetics, 27(2011), 135–146. https://doi.org/10.2478/v10078-011-0011-3
- Liu, H., Gomez, M.-Á., Lago-Peñas, C., & Sampaio, J. (2015). Match statistics related to winning in the group stage of 2014 Brazil FIFA World Cup. Journal of Sports Sciences, 33(12), 1205–1213. https://doi.org/10.1080/02640414.2015.1022578
- Liu, H., Hopkins, W. G., & Gómez, M.-A. (2016). Modelling relationships between match events and match outcome in elite football. European Journal of Sport Science, 16(5), 516–525. https://doi.org/10.1080/17461391.2015.1042527
- Liu, H., Yi, Q., Giménez, J.-V., Gómez, M.-A., & Lago-Peñas, C. (2015). Performance profiles of football teams in the UEFA Champions League considering situational efficiency. International Journal of Performance Analysis in Sport, 15(1), 371–390. https://doi.org/10.1080/24748668.2015.11868799
- Liu, T., Yang, L., Chen, H., & García-de-Alcaraz, A. (2021). Impact of Possession and Player Position on Physical and Technical-Tactical Performance Indicators in the Chinese Football Super League. Frontiers in Psychology, 12, 722200. https://doi.org/10.3389/fpsyg.2021.722200
- Lord, F., Pyne, D. B., Welvaert, M., & Mara, J. K. (2020). Methods of performance analysis in team invasion sports: A systematic review. Journal of Sports Sciences, 38(20), 2338–2349. https://doi.org/10.1080/02640414.2020.1785185
- 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,50, 343-385.
- Mackenzie, R., & Cushion, C. (2013). Performance analysis in football: A critical review and implications for future research. Journal of Sports Sciences, 31(6), 639–676. https://doi.org/10.1080/02640414.2012.746720
- Mao, L., Peng, Z., Liu, H., & Gómez, M.-A. (2016). Identifying keys to win in the Chinese professional soccer league. International Journal of Performance Analysis in Sport, 16(3), 935–947. https://doi.org/10.1080/24748668.2016.11868940
- Martens, F., Dick, U., & Brefeld, U. (2021). Space and Control in Soccer. Frontiers in Sports and Active Living, 3, 676179. https://doi.org/10.3389/fspor.2021.676179
- Memmert, D. (Ed.) (2021). Match Analysis. Abingdon: Routledge.
- Memmert, D., & Raabe, D. (2018). Data Analytics in Football. Positional Data Collection, Modelling and Analysis. Abingdon: Routledge.
- Memmert, D., & Rein, R. (2018). Match analysis, Big Data and tactics: Current trends in elite soccer. Deutsche Zeitschrift Für Sportmedizin, 2018(03), 65–72. https://doi.org/10.5960/dzsm.2018.322
- 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.
- Memmert, D., Imkamp, J., & Perl, J. (2021). Flexible defends succeeds creative attacks! A simulation approach based on position data in professional football. Journal of Software Engineering and Applications, 14(9). DOI: 10.4236/jsea.2021.149029
- Perl, J., Grunz, A., & Memmert, D. (2013). Tactics Analysis in Soccer An Advanced Approach. International Journal of Computer Science in Sport, 12(1), 33–44.
- Perl, J., & Memmert, D. (2011). Net-Based Game Analysis by Means of the Software Tool SOCCER. International Journal of Computer Science in Sport, 10(2), 77–84.
- 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. https://doi.org/10.1515/ijcss-2017-0005
- Perl, J., & Memmert, D. (2018). Soccer: Process and interaction. In A. Baca & J. Perl, Modelling and Simulation in Sport and Exercise (S. 73–94). Routledge.
- Petersen, C. J. (2017). Comparison of performance at the 2007 and 2015 Cricket World Cups. International Journal of Sports Science & Coaching, 12(3), 404–410. https://doi.org/10.1177/1747954117711338
- Phatak, A. A., Mehta, S., Wieland, F.-G., Jamil, M., Connor, M., Bassek, M., & Memmert, D. (2022). Context is key: Normalization as a novel approach to sport specific preprocessing of KPT’s for match analysis in soccer. Scientific Reports, 12(1117). https://doi.org/10.1038/s41598-022-05089-y
- Prematunga, R. K. (2012). Correlational analysis. Australian Critical Care, 25(3), 195–199. https://doi.org/10.1016/j.aucc.2012.02.003
- Rein, R., & Memmert, D. (2016). Big data and tactical analysis in elite soccer: Future challenges and opportunities for sports science. SpringerPlus, 5(1), 1410. https://doi.org/10.1186/s40064-016-3108-2
- Rein, R., Raabe, D., & Memmert, D. (2017). “Which pass is better?” Novel approaches to assess passing effectiveness in elite soccer. Human Movement Science, 55, 172–181. https://doi.org/10.1016/j.humov.2017.07.010
- Ruiz-Ruiz, C., Fradua, L., Fernández-GarcÍa, Á., & Zubillaga, A. (2013). Analysis of entries into the penalty area as a performance indicator in soccer. European Journal of Sport Science, 13(3), 241–248. https://doi.org/10.1080/17461391.2011.606834
- 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(20), 1831–1843. https://doi.org/10.1080/02640414.2014.898852
- Schlenger, J., Wunderlich, F., Raabe, D., & Memmert, D. Systematic Analysis of Position-Data-based Key Performance Indicators. International Journal of Computer Science in Sport, 22(1), 80-101.
- Spearman, W., Basye, A., Dick, G., Hotovy, R., & Pop, P. (2017). Physics-Based Modeling of Pass Probabilities in Soccer. MIT Sloan Sports Analytics Conference.
- Taki, T., & Hasegawa, J. (2000). Visualization of dominant region in team games and its application to teamwork analysis. Proceedings Computer Graphics International 2000, 227–235. https://doi.org/10.1109/CGI.2000.852338
- Tenga, A., Ronglan, L. T., & Bahr, R. (2010). Measuring the effectiveness of offensive match-play in professional soccer. European Journal of Sport Science, 10(4), 269–277. https://doi.org/10.1080/17461390903515170
- Vogelbein, M., Nopp, S., & Hökelmann, A. (2014). Defensive transition in soccer are prompt possession regains a measure of success? A quantitative analysis of German Fußball-Bundesliga 2010/2011. Journal of Sports Sciences, 32(11), 1076–1083. https://doi.org/10.1080/02640414.2013.879671
- Winter, C., & Pfeiffer, M. (2016). Tactical metrics that discriminate winning, drawing and losing teams in UEFA Euro 2012®. Journal of Sports Sciences, 34(6), 486–492. https://doi.org/10.1080/02640414.2015.1099714
- Wunderlich, F., Seck, A., & Memmert, D. (2021). The influence of randomness on goals in football decreases over time. An empirical analysis of randomness involved in goal scoring in the English Premier League. Journal of Sports Sciences, 39(20), 2322–2337. https://doi.org/10.1080/02640414.2021.1930685
- Zhou, C., Lago-Peñas, C., Lorenzo, A., & Gómez, M.-Á. (2021). Long-Term Trend Analysis of Playing Styles in the Chinese Soccer Super League. Journal of Human Kinetics, 79(1), 237–247. https://doi.org/10.2478/hukin-2021-0077