Uneingeschränkter Zugang

Success-Score in Professional Soccer – Validation of a Dynamic Key Performance Indicator Combining Space Control and Ball Control within Goalscoring Opportunities


Zitieren

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/10.1080/24748668.2019.159309610.1080/24748668.2019.1593096 Search in Google Scholar

Biermann, H., Theiner, J., Bassek, M., Raabe, D., Memmert, D., & Ewerth, R. (2021). A Unified Taxonomy and Multimodal Dataset for Events in Invasion Games. In Proceedings of the 4th International Workshop on Multimedia Content Analysis in Sports.10.1145/3475722.3482792 Search in Google Scholar

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/ijerph1718664910.3390/ijerph17186649755998632933080 Search in Google Scholar

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/ijerph1624509010.3390/ijerph16245090695029931847147 Search in Google Scholar

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/10.1080/02640414.2012.72745510.1080/02640414.2012.72745523067001 Search in Google Scholar

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.2025410.1002/scj.20254 Search in Google Scholar

Gollan, S., Ferrar, K., & Norton, K. (2018). Characterising game styles in the English Premier League using the “moments of play” framework. International Journal of Performance Analysis in Sport, 18(6), 998–1009. https://doi.org/10.1080/24748668.2018.153938310.1080/24748668.2018.1539383 Search in Google Scholar

Hassan, A., Schrapf, N., & Tilp, M. (2017a). The prediction of action positions in team handball by non-linear hybrid neural networks. International Journal of Performance Analysis in Sport, 17(3), 293–302.10.1080/24748668.2017.1336688 Search in Google Scholar

Hassan, A., Schrapf, N., Ramadan, W., & Tilp, M. (2017b). Evaluation of tactical training in team handball by means of artificial neural networks. Journal of Sports Sciences, 35(7), 642–647.10.1080/02640414.2016.118380427211106 Search in Google Scholar

Jamil, M., Phatak, A., Mehta, S., Beato, M., Memmert, D., & Connor, M. (2021). Using multiple machine learning algorithms to classify elite and sub-elite goalkeepers in professional men’s football. Scientific reports, 11(1), 1-7.10.1038/s41598-021-01187-5860902534811371 Search in Google Scholar

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/10.1080/24748668.2004.1186829510.1080/24748668.2004.11868295 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. http://dx.doi.org/10.5923/s.sports.201401.05 Search in Google Scholar

Kirkwood, B. R., Sterne, J. A. C., & Kirkwood, B. R. (2003). Essential medical statistics (2nd ed). Blackwell Science. Search in Google Scholar

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/v10078-011-0011-310.2478/v10078-011-0011-3 Search in Google Scholar

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/10.1080/02640414.2015.102257810.1080/02640414.2015.102257825793661 Search in Google Scholar

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/10.1080/17461391.2015.104252710.1080/17461391.2015.104252726190577 Search in Google Scholar

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/10.1080/24748668.2015.1186879910.1080/24748668.2015.11868799 Search in Google Scholar

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.2021.72220010.3389/fpsyg.2021.722200851140134659035 Search in Google Scholar

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/10.1080/02640414.2020.178518510.1080/02640414.2020.178518532583724 Search in Google Scholar

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/10.1080/02640414.2012.74672010.1080/02640414.2012.74672023249092 Search in Google Scholar

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/10.1080/24748668.2016.1186894010.1080/24748668.2016.11868940 Search in Google Scholar

Memmert, D. (Ed.) (2021). Match Analysis. Abingdon: Routledge. Link10.4324/9781003160953 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., 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., & 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.2018.32210.5960/dzsm.2018.322 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(2), 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. https://doi.org/10.1515/ijcss-2017-000510.1515/ijcss-2017-0005 Search in Google Scholar

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.10.4324/9781315163291-4 Search in Google Scholar

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. Search in Google Scholar

Raabe, D., Nabben, R., & Memmert, D. (2022). Graph Representations for the Analysis of Multi-Agent Spatiotemporal Sports Data. Applied Intelligence, 1-21.10.1007/s10489-022-03631-z 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. https://doi.org/10.1186/s40064-016-3108-210.1186/s40064-016-3108-2499680527610328 Search in Google Scholar

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.2017.07.01010.1016/j.humov.2017.07.01028837900 Search in Google Scholar

Rice, M. E., & Harris, G. T. (2005). Comparing Effect Sizes in Follow-Up Studies: ROC Area, Cohen’s d, and r. Law and Human Behavior, 29(5), 615–620. https://doi.org/10.1007/s10979-005-6832-710.1007/s10979-005-6832-716254746 Search in Google Scholar

Ruan, L., Ge, H., Gómez, M.-Á., Shen, Y., Gong, B., & Cui, Y. (2022). Analysis of defensive playing styles in the professional Chinese Football Super League. Science and Medicine in Football, 1–9. https://doi.org/10.1080/24733938.2022.209996410.1080/24733938.2022.209996435796256 Search in Google Scholar

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/10.1080/17461391.2011.60683410.1080/17461391.2011.60683423679140 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(20), 1831–1843. https://doi.org/10.1080/02640414.2014.89885210.1080/02640414.2014.89885224787442 Search in Google Scholar

Schrapf, N., Alsaied, S., & Tilp, M. (2017). Tactical interaction of offensive and defensive teams in team handball analysed by artificial neural networks. Mathematical and Computer Modelling of Dynamical Systems, 23(4), 363–371.10.1080/13873954.2017.1336733 Search in Google Scholar

Schulze, E., Julian, R., & Meyer, T. (2022). Exploring Factors Related to Goal Scoring Opportunities in Professional Football. Science and Medicine in Football, 6(2), 181–188. https://doi.org/10.1080/24733938.2021.193142110.1080/24733938.2021.193142135475738 Search in Google Scholar

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.2000.85233810.1109/CGI.2000.852338 Search in Google Scholar

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/10.1080/1746139090351517010.1080/17461390903515170 Search in Google Scholar

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/10.1080/02640414.2013.87967110.1080/02640414.2013.87967124506111 Search in Google Scholar

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/10.1080/02640414.2015.109971410.1080/02640414.2015.109971426508419 Search in Google Scholar

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/10.1080/02640414.2021.193068510.1080/02640414.2021.193068534024249 Search in Google Scholar

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-2021-007710.2478/hukin-2021-0077833654434401003 Search in Google Scholar

eISSN:
1684-4769
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
2 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, Datanbanken und Data Mining, andere, Sport und Freizeit, Sportunterricht, other