Research Article
BibTex RIS Cite

The team ranking and match performance analysis in World Cup

Year 2024, Volume: 02 Issue: 01, 47 - 61, 29.06.2024

Abstract

In recent years, studies on the evaluation of performance by using match performance data in football can be frequently encountered. It can also be seen that most studies have used a one-dimensional approach and expressed opinions about the effects of the match performance variables on the match. In this study, it was aimed to determine the performance indicators affecting the match result in the 2018 World Cup over factor analysis, using a retrospective method and to re-rankinking the tournament with these variables. In the study, we used 16 different in-match performance data for a total of 64 matches of 32 teams in the 2018 World Cup. According to the findings, it was seen that when the variables of successful pass percentages, the number of shots and the number of shots on target increased, team success increased accordingly, and also the contribution of the team in defense also increased the success rate. On the other hand, it was also seen that as the offside and turnover increased, the success of the team decreased. In this case, the success of the teams indicates that the offensive and defensive patterns of a team should be well balanced. As a result of the study, it is thought that when teams with close offensive and defensive performance ratios, which are presented as the first factors, are among the top 4, the in-match performance data contributes to the team ranking.

References

  • Castellano, Julen, David Casamichana, and Carlos Lago. 2012. “The Use of Match Statistics That Discriminate between Successful and Unsuccessful Soccer Teams.” Journal of Human Kinetics 31(1):139–47. doi: 10.2478/v10078-012-0015-7.
  • Falco, Coral, Raul Landeo, Cristina Menescardi, José Luis Bermejo, and Isaac Estevan. 2012. “Match Analysis in a University Taekwondo Championship.” Advances in Physical Education 02(01):28–31. doi: 10.4236/ape.2012.21005.
  • Fernandez-Navarro, Javier, Luis Fradua, Asier Zubillaga, Paul R. Ford, and Allistair P. McRobert. 2016. “Attacking and Defensive Styles of Play in Soccer: Analysis of Spanish and English Elite Teams.” Journal of Sports Sciences 34(24):2195–2204. doi: 10.1080/02640414.2016.1169309.
  • Gai, Yang, Anna Volossovitch, Carlos Lago, and Miguel Ángel Gómez. 2019. “Technical and Tactical Performance Differences According to Player’s Nationality and Playing Position in the Chinese Football Super League.” International Journal of Performance Analysis in Sport 19(4). doi: 10.1080/24748668.2019.1644804.
  • García, Javier, Sergio J. Ibáñez, Raúl Martinez De Santos, Nuno Leite, and Jaime Sampaio. 2013. “Identifying Basketball Performance Indicators in Regular Season and Playoff Games.” Journal of Human Kinetics 36(1):161–68. doi: 10.2478/hukin-2013-0016.
  • Goddard, John. 2005. “Regression Models for Forecasting Goals and Match Results in Association Football.” International Journal of Forecasting 21(2):331–40. doi: 10.1016/j.ijforecast.2004.08.002.
  • Goes, F. R., L. A. Meerhoff, M. J. O. Bueno, D. M. Rodrigues, F. A. Moura, M. S. Brink, M. T. Elferink-Gemser, A. J. Knobbe, S. A. Cunha, R. S. Torres, and K. A. P. M. Lemmink. 2020. “Unlocking the Potential of Big Data to Support Tactical Performance Analysis in Professional Soccer: A Systematic Review.” European Journal of Sport Science 1–16.
  • Gonçalves, Bruno, Diogo Coutinho, Juliana Exel, Bruno Travassos, Carlos Lago, and Jaime Sampaio. 2019. “Extracting Spatial-Temporal Features That Describe a Team Match Demands When Considering the Effects of the Quality of Opposition in Elite Football.” PLoS ONE 14(8). doi: 10.1371/journal.pone.0221368.
  • Gonzalez-Rodenas, Joaquin, Michalis Mitrotasios, Rafael Aranda, and Vasilis Armatas. 2020. “Combined Effects of Tactical, Technical and Contextual Factors on Shooting Effectiveness in European Professional Soccer.” International Journal of Performance Analysis in Sport 20(2):280–93. doi: 10.1080/24748668.2020.1743163.
  • Hughes, Mike D., and Roger M. Bartlett. 2002. “The Use of Performance Indicators in Performance Analysis.” Journal of Sports Sciences 20(10):739–54.
  • Konefał, Marek, Paweł Chmura, Michał Zacharko, Jan Chmura, Andrzej Rokita, and Marcin Andrzejewski. 2018. “Match Outcome vs Match Status and Frequency of Selected Technical Activities of Soccer Players during UEFA Euro 2016.” International Journal of Performance Analysis in Sport 18(4). doi: 10.1080/24748668.2018.1501991.
  • Lago-Peñas, Carlos, Miguel Ãngel Gómez-Ruano, Adam Lee Owen, and Jaime Sampaio. 2016. “The Effects of a Player Dismissal on Competitive Technical Match Performance.” International Journal of Performance Analysis in Sport 16(3). doi: 10.1080/24748668.2016.11868928.
  • Li, Yuesen, Runqing Ma, Bruno Gonçalves, Bingnan Gong, Yixiong Cui, and Yanfei Shen. 2020. “Data-Driven Team Ranking and Match Performance Analysis in Chinese Football Super League.” Chaos, Solitons and Fractals 141:110330. doi: 10.1016/j.chaos.2020.110330.
  • Liu, Hongyou, Miguel-Ángel Gomez, Carlos Lago-Peñas, and Jaime Sampaio. 2015. “Match Statistics Related to Winning in the Group Stage of 2014 Brazil FIFA World Cup.” Journal of Sports Sciences 33(12):1205–13. doi: 10.1080/02640414.2015.1022578.
  • Liu, Hongyou, Will Hopkins, Miguel A. Gómez, and Javier S. Molinuevo. 2013. “Inter-Operator Reliability of Live Football Match Statistics from OPTA Sportsdata.” International Journal of Performance Analysis in Sport 13(3). doi: 10.1080/24748668.2013.11868690.
  • Lorenzo-Martínez, Miguel, Ezequiel Rey, and Alexis Padrón-Cabo. 2020. “The Effect of Age on Between-Match Physical Performance Variability in Professional Soccer Players.” Research in Sports Medicine 28(3):351–59. doi: 10.1080/15438627.2019.1680985.
  • Low, Benedict, Diogo Coutinho, Bruno Gonçalves, Robert Rein, Daniel Memmert, and Jaime Sampaio. 2020. “A Systematic Review of Collective Tactical Behaviours in Football Using Positional Data.” Sports Medicine 50(2):343–85.
  • Miarka, Bianca, David H. Fukuda, Fabrício B. del Vecchio, and Emerson Franchini. 2016. “Discriminant Analysis of Technical-Tactical Actions in High-Level Judo Athletes.” International Journal of Performance Analysis in Sport 16(1):30–39. doi: 10.1080/24748668.2016.11868868.
  • Oberstone, Joel. 2011a. “Comparing Team Performance of the English Premier League, Serie A, and La Liga for the 2008-2009 Season.” Journal of Quantitative Analysis in Sports 7(1). doi: 10.2202/1559-0410.1280.
  • Oberstone, Joel. 2011b. “Comparing Team Performance of the English Premier League, Serie A, and La Liga for the 2008-2009 Season.” Journal of Quantitative Analysis in Sports 7(1). doi: 10.2202/1559-0410.1280.
  • Pino-Ortega, José, Daniel Rojas-Valverde, Carlos D. Gómez-Carmona, and Markel Rico-González. 2021. “Training Design, Performance Analysis, and Talent Identification—A Systematic Review about the Most Relevant Variables through the Principal Component Analysis in Soccer, Basketball, and Rugby.” International Journal of Environmental Research and Public Health 18(5):2642. doi: 10.3390/ijerph18052642.
  • Stutzig, Norman, Bernd Zimmermann, Dirk Büsch, and Tobias Siebert. 2015. “Analysis of Game Variables to Predict Scoring and Performance Levels in Elite Men’s Volleyball.” International Journal of Performance Analysis in Sport 15(3):816–29. doi: 10.1080/24748668.2015.11868833.
  • Travassos, Bruno, Keith Davids, Duarte Araújo, and Pedro T. Esteves. 2013. “Performance Analysis in Team Sports: Advances from an Ecological Dynamics Approach.” International Journal of Performance Analysis in Sport 13(1):83–95. doi: 10.1080/24748668.2013.11868633.
  • Tunaru, Radu S., and Howard P. Viney. 2010. “Valuations of Soccer Players from Statistical Performance Data.” Journal of Quantitative Analysis in Sports 6(2). doi: 10.2202/1559-0410.1238.

Dünya Kupası'nda takım sıralaması ve maç performansı analizi

Year 2024, Volume: 02 Issue: 01, 47 - 61, 29.06.2024

Abstract

Son yıllarda futbolda maç performansı verileri kullanılarak performansın değerlendirilmesine yönelik çalışmalara sıklıkla rastlanmaktadır. Ayrıca çoğu çalışmada tek boyutlu bir yaklaşımın kullanıldığı ve maç performansı değişkenlerinin maç üzerindeki etkilerine ilişkin görüşlerin dile getirildiği görülmektedir. Bu çalışmada, 2018 Dünya Kupası'nda maç sonucunu etkileyen performans göstergelerinin faktör analizi yoluyla retrospektif yöntem kullanılarak belirlenmesi ve turnuvanın bu değişkenlere göre yeniden sıralanması amaçlandı. Çalışmada 2018 Dünya Kupası'nda 32 takımın toplam 64 maçına ait 16 farklı maç içi performans verisi kullanıldı. Elde edilen bulgulara göre başarılı pas yüzdesi, şut sayısı ve kaleyi bulan şut sayısı değişkenleri arttıkça takım başarısının da buna bağlı olarak arttığı, ayrıca takımın savunmaya katkısının da başarı oranını arttırdığı görülmüştür. Öte yandan ofsayt ve top kaybı arttıkça takımın başarısının düştüğü de görüldü. Bu durumda takımların başarısı, takımın hücum ve savunma yapısının iyi dengelenmesi gerektiğini gösteriyor. Çalışma sonucunda ilk faktör olarak sunulan hücum ve savunma performans oranları birbirine yakın olan takımların ilk 4'e girmesi durumunda maç içi performans verilerinin takım sıralamasına katkı sağlayacağı düşünülmektedir.

References

  • Castellano, Julen, David Casamichana, and Carlos Lago. 2012. “The Use of Match Statistics That Discriminate between Successful and Unsuccessful Soccer Teams.” Journal of Human Kinetics 31(1):139–47. doi: 10.2478/v10078-012-0015-7.
  • Falco, Coral, Raul Landeo, Cristina Menescardi, José Luis Bermejo, and Isaac Estevan. 2012. “Match Analysis in a University Taekwondo Championship.” Advances in Physical Education 02(01):28–31. doi: 10.4236/ape.2012.21005.
  • Fernandez-Navarro, Javier, Luis Fradua, Asier Zubillaga, Paul R. Ford, and Allistair P. McRobert. 2016. “Attacking and Defensive Styles of Play in Soccer: Analysis of Spanish and English Elite Teams.” Journal of Sports Sciences 34(24):2195–2204. doi: 10.1080/02640414.2016.1169309.
  • Gai, Yang, Anna Volossovitch, Carlos Lago, and Miguel Ángel Gómez. 2019. “Technical and Tactical Performance Differences According to Player’s Nationality and Playing Position in the Chinese Football Super League.” International Journal of Performance Analysis in Sport 19(4). doi: 10.1080/24748668.2019.1644804.
  • García, Javier, Sergio J. Ibáñez, Raúl Martinez De Santos, Nuno Leite, and Jaime Sampaio. 2013. “Identifying Basketball Performance Indicators in Regular Season and Playoff Games.” Journal of Human Kinetics 36(1):161–68. doi: 10.2478/hukin-2013-0016.
  • Goddard, John. 2005. “Regression Models for Forecasting Goals and Match Results in Association Football.” International Journal of Forecasting 21(2):331–40. doi: 10.1016/j.ijforecast.2004.08.002.
  • Goes, F. R., L. A. Meerhoff, M. J. O. Bueno, D. M. Rodrigues, F. A. Moura, M. S. Brink, M. T. Elferink-Gemser, A. J. Knobbe, S. A. Cunha, R. S. Torres, and K. A. P. M. Lemmink. 2020. “Unlocking the Potential of Big Data to Support Tactical Performance Analysis in Professional Soccer: A Systematic Review.” European Journal of Sport Science 1–16.
  • Gonçalves, Bruno, Diogo Coutinho, Juliana Exel, Bruno Travassos, Carlos Lago, and Jaime Sampaio. 2019. “Extracting Spatial-Temporal Features That Describe a Team Match Demands When Considering the Effects of the Quality of Opposition in Elite Football.” PLoS ONE 14(8). doi: 10.1371/journal.pone.0221368.
  • Gonzalez-Rodenas, Joaquin, Michalis Mitrotasios, Rafael Aranda, and Vasilis Armatas. 2020. “Combined Effects of Tactical, Technical and Contextual Factors on Shooting Effectiveness in European Professional Soccer.” International Journal of Performance Analysis in Sport 20(2):280–93. doi: 10.1080/24748668.2020.1743163.
  • Hughes, Mike D., and Roger M. Bartlett. 2002. “The Use of Performance Indicators in Performance Analysis.” Journal of Sports Sciences 20(10):739–54.
  • Konefał, Marek, Paweł Chmura, Michał Zacharko, Jan Chmura, Andrzej Rokita, and Marcin Andrzejewski. 2018. “Match Outcome vs Match Status and Frequency of Selected Technical Activities of Soccer Players during UEFA Euro 2016.” International Journal of Performance Analysis in Sport 18(4). doi: 10.1080/24748668.2018.1501991.
  • Lago-Peñas, Carlos, Miguel Ãngel Gómez-Ruano, Adam Lee Owen, and Jaime Sampaio. 2016. “The Effects of a Player Dismissal on Competitive Technical Match Performance.” International Journal of Performance Analysis in Sport 16(3). doi: 10.1080/24748668.2016.11868928.
  • Li, Yuesen, Runqing Ma, Bruno Gonçalves, Bingnan Gong, Yixiong Cui, and Yanfei Shen. 2020. “Data-Driven Team Ranking and Match Performance Analysis in Chinese Football Super League.” Chaos, Solitons and Fractals 141:110330. doi: 10.1016/j.chaos.2020.110330.
  • Liu, Hongyou, Miguel-Ángel Gomez, Carlos Lago-Peñas, and Jaime Sampaio. 2015. “Match Statistics Related to Winning in the Group Stage of 2014 Brazil FIFA World Cup.” Journal of Sports Sciences 33(12):1205–13. doi: 10.1080/02640414.2015.1022578.
  • Liu, Hongyou, Will Hopkins, Miguel A. Gómez, and Javier S. Molinuevo. 2013. “Inter-Operator Reliability of Live Football Match Statistics from OPTA Sportsdata.” International Journal of Performance Analysis in Sport 13(3). doi: 10.1080/24748668.2013.11868690.
  • Lorenzo-Martínez, Miguel, Ezequiel Rey, and Alexis Padrón-Cabo. 2020. “The Effect of Age on Between-Match Physical Performance Variability in Professional Soccer Players.” Research in Sports Medicine 28(3):351–59. doi: 10.1080/15438627.2019.1680985.
  • Low, Benedict, Diogo Coutinho, Bruno Gonçalves, Robert Rein, Daniel Memmert, and Jaime Sampaio. 2020. “A Systematic Review of Collective Tactical Behaviours in Football Using Positional Data.” Sports Medicine 50(2):343–85.
  • Miarka, Bianca, David H. Fukuda, Fabrício B. del Vecchio, and Emerson Franchini. 2016. “Discriminant Analysis of Technical-Tactical Actions in High-Level Judo Athletes.” International Journal of Performance Analysis in Sport 16(1):30–39. doi: 10.1080/24748668.2016.11868868.
  • Oberstone, Joel. 2011a. “Comparing Team Performance of the English Premier League, Serie A, and La Liga for the 2008-2009 Season.” Journal of Quantitative Analysis in Sports 7(1). doi: 10.2202/1559-0410.1280.
  • Oberstone, Joel. 2011b. “Comparing Team Performance of the English Premier League, Serie A, and La Liga for the 2008-2009 Season.” Journal of Quantitative Analysis in Sports 7(1). doi: 10.2202/1559-0410.1280.
  • Pino-Ortega, José, Daniel Rojas-Valverde, Carlos D. Gómez-Carmona, and Markel Rico-González. 2021. “Training Design, Performance Analysis, and Talent Identification—A Systematic Review about the Most Relevant Variables through the Principal Component Analysis in Soccer, Basketball, and Rugby.” International Journal of Environmental Research and Public Health 18(5):2642. doi: 10.3390/ijerph18052642.
  • Stutzig, Norman, Bernd Zimmermann, Dirk Büsch, and Tobias Siebert. 2015. “Analysis of Game Variables to Predict Scoring and Performance Levels in Elite Men’s Volleyball.” International Journal of Performance Analysis in Sport 15(3):816–29. doi: 10.1080/24748668.2015.11868833.
  • Travassos, Bruno, Keith Davids, Duarte Araújo, and Pedro T. Esteves. 2013. “Performance Analysis in Team Sports: Advances from an Ecological Dynamics Approach.” International Journal of Performance Analysis in Sport 13(1):83–95. doi: 10.1080/24748668.2013.11868633.
  • Tunaru, Radu S., and Howard P. Viney. 2010. “Valuations of Soccer Players from Statistical Performance Data.” Journal of Quantitative Analysis in Sports 6(2). doi: 10.2202/1559-0410.1238.
There are 24 citations in total.

Details

Primary Language English
Subjects Sports Activity Management
Journal Section Research Articles
Authors

Akif Karataş 0000-0002-9856-0983

Tuğbay İnan 0000-0002-3573-8086

Publication Date June 29, 2024
Submission Date June 6, 2024
Acceptance Date June 27, 2024
Published in Issue Year 2024 Volume: 02 Issue: 01

Cite

APA Karataş, A., & İnan, T. (2024). The team ranking and match performance analysis in World Cup. Dokuz Eylül Üniversitesi Spor Bilimleri Dergisi, 02(01), 47-61.