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Determination of Important Game-Related Statistics in the UEFA Champions League: A 5-year follow-up

Yıl 2024, Cilt: 29 Sayı: 2, 83 - 94, 29.04.2024
https://doi.org/10.53434/gbesbd.1436301

Öz

The research aimed to examine the effect of important game-related statistics on the success of the teams that made it to the knockout stages of the Champions League for 5 years (between 2015-2016 and 2019-2020 seasons). In the research, 139 matches of 35 teams that took part in the top 16 rounds, quarter-finals, semi-finals, and final tours of UEFA Champions League competitions were examined. The teams were divided into two groups the teams that qualified and the teams that were eliminated. Independent samples t-test was used to compare the in-game variables of the teams that passed the round and were eliminated. Linear discriminant analysis was used to determine important in-game variables between teams. The results of this research show that the number of statistical data related to the game between the teams that passed the round and the eliminated teams differed or decreased as they progressed from the round of 16 to the final. (Last of 16: goals scored, ball possession (%), duels won (%), passes, shots, number of shots on target, shots outside the penalty area, shots inside the penalty area, tackle, and red cards; Quarter-final round: shots on target; Semi-finals: aerial won (%), duels won (%), attacking sides rates (%)). In the study, it was found that only the goals scored and conceded in the last 16 and quarter-finals in the knockout stages had distinctive power, but no distinguishing variable was found in the semi-final and final stages. Therefore, the Champions League is one of the most followed organizations by football coaches and professionals. The tactical approaches of the teams that are successful in this tournament should be followed by football coaches at all levels and it is recommended to include variables that ensure success in training and matches.

Kaynakça

  • Acar, M. F., Yapıcıoğlu, B., Arıkan, N., Yalçın, S., Ateş, N., & Ergün, M. (2009). Analysis of goals scored in The 2006 World Cup. Science and Football VI. Chapter, 41, 35-242.
  • Almeida, C. H., Ferreira, A. P., & Volossovitch, A. (2014). Effects of match location, match status and quality of opposition on regaining possession in UEFA Champions League. Journal of Human Kinetics, 41(1), 203-214.
  • Castellano, J., Casamichana, D., & Lago, C. (2012). The use of match statistics that discriminate between successful and unsuccessful soccer teams. Journal of Human Kinetics, 31(2012), 137-147.
  • Doğan, İ., Işık, Ö., & Ersöz, Y. (2016). Examining the Turkish men’s professional basketball team’s success according to game-related statistics with discriminant analysis. International Journal of Performance Analysis in Sport, 16(3), 829-836.
  • García-Rubio, J., Gómez, M. Á., Lago-Peñas, C., & Ibáñez, J. S. (2015). Effect of match venue, scoring first and quality of opposition on match outcome in the UEFA Champions League. International Journal of Performance Analysis in Sport, 15(2), 527-539.
  • Gómez, M. A., Gómez-Lopez, M., Lago, C., & Sampaio, J. (2012). Effects of game location and final outcome on game-related statistics in each zone of the pitch in professional football. European Journal of Sport Science, 12(5), 393-398.
  • Hewitt, A., Greenham, G., & Norton, K. (2016). Game style in soccer: what is it and can we quantify it?. International Journal of Performance Analysis in Sport, 16(1), 355-372.
  • Kyle Bennett, J. M., Roel, V., & Job, F. (2019) Creating a framework for talent identification and development in emerging football nations, Science and Medicine in Football, 3(1), 36-42.
  • Lago, C. (2009). The influence of match location, quality of opposition, and match status on possession strategies in professional association football. Journal of Sports Sciences, 27(13), 1463-1469.
  • 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, 137-148.
  • Lago, I., Lago-Peñas, C., & Lago‐Peñas, S. (2019). Decentralization and football. Social Science Quarterly, 100(1), 163-175.
  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics 33(1), 159-174. https://doi.org/10.2307/2529310.
  • Lepschy, H., Wäsche, H., & Woll, A. (2018). How to be successful in football: a systematic review. The Open Sports Sciences Journal, 11(1).
  • Liu, H., Yi, Q., Giménez, J. V., Gómez, M. A., & Lago-Peñas, C. (2015a). Performance profiles of football teams in the UEFA Champions League considering situational efficiency. International Journal of Performance Analysis in Sport, 15(1), 371-390.
  • Liu, H., Gomez, M.-Á., Lago-Peñas, C., & Sampaio, J. (2015b). Match statistics related to winning in the group stage of 2014 Brazil FIFA World Cup. Journal of Sports Sciences, 33(12), 1205-1213.
  • Liu, H., Gomez, M.-A., Goncalves, B., & Sampaio, J. (2016). Technical performance and match-to-match variation in elite football teams. Journal of Sports Sciences, 34(6), 509-518.
  • Modric, T., Versic, S., & Jelicic, M. (2022). Monitoring technical performance in the UEFA Champions League: differences between successful and unsuccessful teams. Montenegrin Journal of Sports Science and Medicine, 11(2), 3-11.
  • Özdamar, K. (2010). Paket programlar ile istatistiksel veri analizi II (çok değişkenli analizler). Eskişehir: Kaan Kitabevi, 7. Baskı.
  • Rampinini, E., Impellizzeri, F. M., Castagna, C., Coutts, A. J., & Wisloff, U. (2009). Technical performance during soccer matches of the Italian Serie A league: Effect of fatigue and competitive level. Journal of Science and Medicine in Sport, 12(1), 227-233.
  • Ruiz-Ruiz, C., Fradua, L., Fernández-García, Á., & Zubillaga, A. (2013). Analysis of entries into the penalty area as a performance indicator in soccer. Eur J Sport Sci, 13(3), 241-248
  • Sampaio, J., Lago, C., Casais, L., & Leite, N. (2010). Effects of starting score-line, game location, and quality of opposition in basketball quarter score. European Journal of Sport Science, 10(6), 391-396.
  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. 5th ed Boston: Allyn and Bacon.
  • Vecer, J., Kopriva, F., & Ichiba, T. (2009). Estimating the effect of the red card in soccer: when to commit an offense in exchange for preventing a goal opportunity. Journal of Quantitative Analysis in Sports, 5(1).
  • Yi, Q., Jia, H., Liu, H., & Gomez, M. A. (2018). Technical demands of different playing positions in the UEFA Champions League. International Journal of Performance Analysis in Sport, 18(6), 926-937.
  • Yi, Q., Ruano, M. Á. G., Liu, H., & Sampaio, J. (2019). Variation of match statistics and football teams’ match performance in the group stage of the EUFA Champions league from 2010 to 2017. Kinesiology, 51(2), 170-181.
  • Yi, Q., Gómez-Ruano, M. Á., Liu, H., Zhang, S., Gao, B., Wunderlich, F., & Memmert, D. (2020). Evaluation of the technical performance of football players in the UEFA Champions League. International Journal of Environmental Research And Public Health, 17(2), 604.
  • Zambom-Ferraresi, F., García-Cebrián, L. I., Lera-López, F., & Iráizoz, B. (2017). Performance evaluation in the UEFA Champions League. Journal of Sports Economics, 18(5), 448-470.

UEFA Şampiyonlar Ligi Müsabakalarındaki Önemli Oyun İlişkili İstatistiklerin Belirlenmesi: 5 Yıllık Bir İnceleme

Yıl 2024, Cilt: 29 Sayı: 2, 83 - 94, 29.04.2024
https://doi.org/10.53434/gbesbd.1436301

Öz

Bu araştırmada, 5 yıl boyunca (2015-2016 ve 2019-2020 sezonları arasında) Şampiyonlar Ligi'nde eleme turlarına çıkan takımların maçlarla ilgili önemli istatistiklerinin takımların başarısına etkisinin incelenmesi amaçlanmıştır. Araştırmada, UEFA Şampiyonlar Ligi müsabakalarının ilk 16 turu, çeyrek final, yarı final ve final turunda yer alan 35 takımın 139 maçı incelenmiştir. Takımlar, galip ve mağlup takımlar olmak üzere iki gruba ayrılmıştır. Turu geçen ve elenen takımların oyun içi değişkenlerini karşılaştırmak için bağımsız örnekler t testi kullanılmıştır. Takımlar arasındaki önemli oyun içi değişkenleri belirlemek için doğrusal diskriminant analizi kullanılmıştır. Bu araştırmanın sonuçları, turu geçen takımlar ile elenen takımlar arasındaki maça ilişkin istatistiksel verilerin sayısının, son 16 turundan finale ilerledikçe farklılık gösterdiğini veya azaldığını göstermektedir (Son 16 için: atılan goller, topa sahip olma (%), ikili mücadele (%), paslar, şutlar, kaleyi bulan şutlar, ceza sahası dışından şutlar, ceza sahası içinden şutlar, top çalma, ve kırmızı kartlar; Çeyrek Final için: kaleyi bulan şutlar; Yarı Final için: hava topu kazanma (%), ikili mücadele (%), kenar hucümları (%)). Araştırmada eleme turlarında sadece son 16 ve çeyrek finalde atılan ve yenilen gollerin ayırt edici güce sahip olduğu ancak yarı final ve final aşamalarında herhangi bir ayırt edici değişkene rastlanmadığı tespit edilmiştir. Bu nedenle futbol antrenörlerinin ve profesyonellerinin en çok takip ettiği organizasyonların başında Şampiyonlar ligi gelmektedir. Bu turnuvada başarılı olan takımların taktiksel yaklaşımları her seviyedeki futbol antrenörleri tarafından takip edilmeli, antrenman ve maçlarda başarıyı sağlayan değişkenlere yer verilmesi önerilmektedir.

Kaynakça

  • Acar, M. F., Yapıcıoğlu, B., Arıkan, N., Yalçın, S., Ateş, N., & Ergün, M. (2009). Analysis of goals scored in The 2006 World Cup. Science and Football VI. Chapter, 41, 35-242.
  • Almeida, C. H., Ferreira, A. P., & Volossovitch, A. (2014). Effects of match location, match status and quality of opposition on regaining possession in UEFA Champions League. Journal of Human Kinetics, 41(1), 203-214.
  • Castellano, J., Casamichana, D., & Lago, C. (2012). The use of match statistics that discriminate between successful and unsuccessful soccer teams. Journal of Human Kinetics, 31(2012), 137-147.
  • Doğan, İ., Işık, Ö., & Ersöz, Y. (2016). Examining the Turkish men’s professional basketball team’s success according to game-related statistics with discriminant analysis. International Journal of Performance Analysis in Sport, 16(3), 829-836.
  • García-Rubio, J., Gómez, M. Á., Lago-Peñas, C., & Ibáñez, J. S. (2015). Effect of match venue, scoring first and quality of opposition on match outcome in the UEFA Champions League. International Journal of Performance Analysis in Sport, 15(2), 527-539.
  • Gómez, M. A., Gómez-Lopez, M., Lago, C., & Sampaio, J. (2012). Effects of game location and final outcome on game-related statistics in each zone of the pitch in professional football. European Journal of Sport Science, 12(5), 393-398.
  • Hewitt, A., Greenham, G., & Norton, K. (2016). Game style in soccer: what is it and can we quantify it?. International Journal of Performance Analysis in Sport, 16(1), 355-372.
  • Kyle Bennett, J. M., Roel, V., & Job, F. (2019) Creating a framework for talent identification and development in emerging football nations, Science and Medicine in Football, 3(1), 36-42.
  • Lago, C. (2009). The influence of match location, quality of opposition, and match status on possession strategies in professional association football. Journal of Sports Sciences, 27(13), 1463-1469.
  • 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, 137-148.
  • Lago, I., Lago-Peñas, C., & Lago‐Peñas, S. (2019). Decentralization and football. Social Science Quarterly, 100(1), 163-175.
  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics 33(1), 159-174. https://doi.org/10.2307/2529310.
  • Lepschy, H., Wäsche, H., & Woll, A. (2018). How to be successful in football: a systematic review. The Open Sports Sciences Journal, 11(1).
  • Liu, H., Yi, Q., Giménez, J. V., Gómez, M. A., & Lago-Peñas, C. (2015a). Performance profiles of football teams in the UEFA Champions League considering situational efficiency. International Journal of Performance Analysis in Sport, 15(1), 371-390.
  • Liu, H., Gomez, M.-Á., Lago-Peñas, C., & Sampaio, J. (2015b). Match statistics related to winning in the group stage of 2014 Brazil FIFA World Cup. Journal of Sports Sciences, 33(12), 1205-1213.
  • Liu, H., Gomez, M.-A., Goncalves, B., & Sampaio, J. (2016). Technical performance and match-to-match variation in elite football teams. Journal of Sports Sciences, 34(6), 509-518.
  • Modric, T., Versic, S., & Jelicic, M. (2022). Monitoring technical performance in the UEFA Champions League: differences between successful and unsuccessful teams. Montenegrin Journal of Sports Science and Medicine, 11(2), 3-11.
  • Özdamar, K. (2010). Paket programlar ile istatistiksel veri analizi II (çok değişkenli analizler). Eskişehir: Kaan Kitabevi, 7. Baskı.
  • Rampinini, E., Impellizzeri, F. M., Castagna, C., Coutts, A. J., & Wisloff, U. (2009). Technical performance during soccer matches of the Italian Serie A league: Effect of fatigue and competitive level. Journal of Science and Medicine in Sport, 12(1), 227-233.
  • Ruiz-Ruiz, C., Fradua, L., Fernández-García, Á., & Zubillaga, A. (2013). Analysis of entries into the penalty area as a performance indicator in soccer. Eur J Sport Sci, 13(3), 241-248
  • Sampaio, J., Lago, C., Casais, L., & Leite, N. (2010). Effects of starting score-line, game location, and quality of opposition in basketball quarter score. European Journal of Sport Science, 10(6), 391-396.
  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. 5th ed Boston: Allyn and Bacon.
  • Vecer, J., Kopriva, F., & Ichiba, T. (2009). Estimating the effect of the red card in soccer: when to commit an offense in exchange for preventing a goal opportunity. Journal of Quantitative Analysis in Sports, 5(1).
  • Yi, Q., Jia, H., Liu, H., & Gomez, M. A. (2018). Technical demands of different playing positions in the UEFA Champions League. International Journal of Performance Analysis in Sport, 18(6), 926-937.
  • Yi, Q., Ruano, M. Á. G., Liu, H., & Sampaio, J. (2019). Variation of match statistics and football teams’ match performance in the group stage of the EUFA Champions league from 2010 to 2017. Kinesiology, 51(2), 170-181.
  • Yi, Q., Gómez-Ruano, M. Á., Liu, H., Zhang, S., Gao, B., Wunderlich, F., & Memmert, D. (2020). Evaluation of the technical performance of football players in the UEFA Champions League. International Journal of Environmental Research And Public Health, 17(2), 604.
  • Zambom-Ferraresi, F., García-Cebrián, L. I., Lera-López, F., & Iráizoz, B. (2017). Performance evaluation in the UEFA Champions League. Journal of Sports Economics, 18(5), 448-470.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Spor ve Egzersiz Psikolojisi
Bölüm Makaleler
Yazarlar

Enescan Kilci 0000-0003-1609-3734

Özkan Işık 0000-0003-2561-1695

Yayımlanma Tarihi 29 Nisan 2024
Gönderilme Tarihi 13 Şubat 2024
Kabul Tarihi 11 Nisan 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 29 Sayı: 2

Kaynak Göster

APA Kilci, E., & Işık, Ö. (2024). Determination of Important Game-Related Statistics in the UEFA Champions League: A 5-year follow-up. Gazi Beden Eğitimi Ve Spor Bilimleri Dergisi, 29(2), 83-94. https://doi.org/10.53434/gbesbd.1436301

Gazi Beden Eğitimi ve Spor Bilimleri Dergisi yılda dört kez yayımlanan bilimsel ve hakemli bir dergidir.


Gazi Journal of Physical Education and Sports Sciences is a scientific and peer-reviewed journal published quarterly.