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Türkiye Basketbol Süper Ligi’nde Kazanan ve Kaybeden Takımları Birbirinden Ayıran İstatistikler: İç Saha-Dış Saha Etkisi

Yıl 2023, Cilt: 8 Sayı: 2, 148 - 156, 30.06.2023

Arıkan Ektirici

https://doi.org/10.25307/jssr.1233412
Cited By: 1

Öz

Bu çalışmanın amacı, Türkiye Basketbol Süper Ligi'nde kazanan ve kaybeden takımları birbirinden ayıran maç istatistiklerinin iç saha ve dış saha durumuna göre incelenmesidir. Veriler, Türkiye Basketbol Federasyonu resmi internet sitesinden (https://www.tbf.org.tr/ligler/bsl-2020-2021/maclar) alınmıştır. Türkiye Basketbol Süper Ligi'nin 2020-2021 sezonuna ait 258 maç verisi çalışmaya dahil edilmiştir. Veriler, resmi web sitesinden çekildikten sonra topa sahip olma, hücum verimliliği ve savunma verimliliği değerleri Oliver'ın formülü kullanılarak hesaplanmıştır. Bunu takiben, şut yüzdeleri dışındaki tüm maç istatistikleri topa sahip olma durumuna göre normalleştirilmiştir. Veriler üzerinde diskriminant analizi gerçekleştirilmiştir. Analiz sonucunda üç sayı yüzdesi (SC = .312) ve savunma ribaundlarının (SC = .334) iç saha maçlarını kazanmada belirleyici olduğu; iki sayı isabeti (SC = .416), iki sayı yüzdesi (SC = .364), savunma ribaundlarının (SC = .305) ve asistlerin (SC = .365) deplasman maçlarını kazanmada belirleyici olduğu tespit edilmiştir. Tüm maçlara yönelik olarak gerçekleştirilen analiz soncunda ise iki sayı isabeti (SC = ,341), iki sayı yüzdesi (SC = .310), üç sayı yüzdesi (SC = .322), savunma ribaundları (SC = .333) ve asistlerin (SC = .349) kazanan takımlar açısından belirleyici istatistikler olduğu saptanmıştır. Bu çalışmadan elde edilen verilerin, antrenörlerin koçluk süreçlerini geliştirmede ve takımlarını yaklaşan maçlara hazırlamada faydalı olacağı söylenebilir.

Anahtar Kelimeler

Diskriminant analizi Basketbol İç saha avantajı Maç lokasyonu Maç istatistikleri

Kaynakça

  • Alexandru, S. D., & Sabin, S. I. (2015). Study on the interpretation of the results in a volleyball game by using a specific program of statistics. Procedia-Social and Behavioral Sciences, 180, 1357-1363. https://doi.org/10.1016/j.sbspro.2015.02.277
  • Angel-Gómez, M., Lorenzo, A., Sampaio, J., Jose Ibanez, S., & Ortega, E. (2008). Game-related statistics that discriminated winning and losing teams from the Spanish men’s professional basketball teams. Collegium Antropologicum, 32(2), 451-456.
  • Ángel, G. M., Evangelos, T., & Alberto, L. (2006). Defensive systems in basketball ball possessions. International Journal of Performance Analysis in Sport, 6(1), 98-107. https://doi.org/10.1080/24748668.2006.11868358
  • Bishop, C.M. (1995). Neural Networks for Pattern Recognition. Oxford University Press.
  • Canuto, S. C., & de Almeida, M. B. (2022). Determinants of basketball match outcome based on game-related statistics: a systematic review and meta-analysis. European Journal of Human Movement, (48), 4-20. https://doi.org/10.21134/eurjhm.2022.48.2
  • Carvalho, E. M. O., Leicht, A. S., Nakamura, F. Y., Okuno, N. M., & Okazaki, V. H. A. (2017). Team statistical determinants of victory in Brazilian basketball. MOJ Sports Medicine, 1(4), 70-75. https://doi.org/10.15406/mojsm.2017.01.00018
  • Conte, D., Tessitore, A., Gjullin, A., Mackinnon, D., Lupo, C., & Favero, T. (2018). Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games. Biology of sport, 35(2), 137-143. https://doi.org/10.5114/biolsport.2018.71602
  • Courneya, K. S., & Carron, A. V. (1992). The home advantage in sport competitions: a literature review. Journal of Sport & Exercise Psychology, 14(1), 13-27. https://doi.org/10.1123/jsep.14.1.13
  • Csataljay, G., O’Donoghue, P., Hughes, M., & Dancs, H. (2009). Performance indicators that distinguish winning and losing teams in basketball. International Journal of Performance Analysis in Sport, 9(1), 60-66. https://doi.org/10.1080/24748668.2009.11868464
  • Çene, E. (2018). What is the difference between a winning and a losing team: Insights from Euroleague basketball. International Journal of Performance Analysis in Sport, 18(1), 55–68. https://doi.org/10.1080/24748668.2018.1446234
  • Dimitros, E., Garopoulou, V., Bakirtzoglou, P., & Maltezos, C. (2013). Differences and discriminant analysis by location in A1 Greek women’s basketball league. Sport Science, 6(1), 33-37.
  • Doğan, İ., & Ersöz, Y. (2019). The important game-related statistics for qualifying next rounds in Euroleague. Montenegrin Journal of Sports Science and Medicine, 8(1), 43-50. https://doi.org/10.26773/mjssm.190307
  • 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. https://doi.org/10.1080/24748668.2016.11868931
  • García, J., Ibáñez, S. J., De Santos, R. M., Leite, N., & Sampaio, J. (2013). Identifying basketball performance indicators in regular season and playoff games. Journal of Human Kinetics, 36, 161-168. https://doi.org/10.2478/hukin-2013-0016
  • García, J., Ibáñez, J. S., Gómez, A. M., & Sampaio, J. (2014). Basketball Game-related statistics discriminating ACB league teams according to game location, game outcome and final score differences. International Journal of Performance Analysis in Sport, 14(2), 443-452. https://doi.org/10.1080/24748668.2014.11868733
  • Gasperi, L., Conte, D., Leicht, A., & Gómez-Ruano, M. Á. (2020). Game related statistics discriminate national and foreign players according to playing position and team ability in the women’s basketball Euroleague. International Journal of Environmental Research and Public Health, 17(15), Article 5507. https://doi.org/10.3390/ijerph17155507
  • Giovanini, B., Conte, D., Ferreira-Junior, A., & Nascimento, V. B. (2021). Assessing the key game-related statistics in Brazilian professional basketball according to season phase and final score difference. International Journal of Performance Analysis in Sport, 21(2), 295-305. https://doi.org/10.1080/24748668.2021.1881358
  • Gómez, M. Á., Gasperi, L., & Lupo, C. (2016). Performance analysis of game dynamics during the 4thgame quarter of NBA close games. International Journal of Performance Analysis in Sport, 16 (1), 249–263. https://doi.org/10.1080/24748668.2016.11868884
  • Hofler, R., and Payne, J. (1997). Measuring efficiency in the national basket association. Economics letters, 55(2), 293-299. https://doi.org/10.1016/S0165-1765(97)00083-9
  • Ibañez, S. J., García-Rubio, J., Gómez, M.-Á., & Gonzalez-Espinosa, S. (2018). The impact of rule modifications on elite basketball teams’ performance. Journal of Human Kinetics, 64(1), 181-193. https://doi.org/10.1515/hukin-2017-0193
  • Ibáñez, S. J., Sampaio, J., Feu, S., Lorenzo, A., Gómez, M. A., & Ortega, E. (2008). Basketball game-related statistics that discriminate between teams’ season-long success. European journal of sport science, 8(6), 369-372. https://doi.org/10.1080/17461390802261470
  • Kuhn, A. W., Zuckerman, S. L., Totten, D., & Solomon, G. S. (2016). Performance and style of play after returning from concussion in the National Hockey League. The American journal of sports medicine, 44(8), 2152-2157. https://doi.org/10.1177/0363546516638327
  • Madarame, H. (2018). Age and sex differences in game-related statistics which discriminate winners from losers in elite basketball games. Motriz: Revista de Educação Física, 24, 1-7. https://doi.org/10.1590/S1980-6574201800010001
  • Mandić, R., Jakovljević, S., Erèulj, F., & Štrumbelj, E. (2019). Trends in NBA and Euroleague basketball: Analysis and comparison of statistical data from 2000 to 2017. Plos One, 14(10), 1–17. https://doi.org/10.1371/journal.pone.0223524
  • Melnick, M. J. (2001). Relationship between team assists and win-loss record in the National Basketball Association. Perceptual and Motor Skills, 92(2), 595-602. https://doi.org/10.2466/pms.2001.92.2.595
  • Mendes, R. S., Malacarne, L. C., & Anteneodo, C. (2007). Statistics of football dynamics. The European Physical Journal B, 57, 357-363. https://doi.org/10.1140/epjb/e2007-00177-4
  • Oliver, D. (2004) Basketball on paper. Rules and tools for performance analysis. Brassey's, Inc.
  • Otten, M. P., & Barrett, M. E. (2013). Pitching and clutch hitting in Major League Baseball: What 109 years of statistics reveal. Psychology of Sport and Exercise, 14(4), 531-537. https://doi.org/10.1016/j.psychsport.2013.03.003
  • Özdemir, E., & Ballı, S. (2020). Türkiye erkekler basketbol ligi maç sonuçlarinin makine öğrenmesi yöntemleri ile tahmini. Mühendislik Bilimleri ve Tasarım Dergisi, 8(3), 740-752. https://doi.org/10.21923/jesd.723109
  • Özmen, M. U. (2016). Marginal contribution of game statistics to probability of winning at different levels of competition in basketball: Evidence from the Euroleague. International Journal of Sports Science & Coaching, 11(1), 98-107. https://doi.org/10.1177/1747954115624828
  • Paulauskas, R., Masiulis, N., Vaquera, A., Figueira, B., & Sampaio, J. (2018). Basketball game-related statistics that discriminate between European players competing in the NBA and in the Euroleague. Journal of Human Kinetics, 65(1), 225-233. https://doi.org/10.2478/hukin-2018-0030
  • Pollard, R., & Gómez, M. A. (2007). Home advantage analysis in different basketball leagues according to team ability. Iberian Congress on Basketball Research, 4, 61-64.
  • Pollard, R., & Pollard, G. (2005). Long-term trends in home advantage in professional team sports in North America and England (1876-2003). Journal of Sports Sciences, 23(4), 337-350. https://doi.org/10.1080/02640410400021559
  • Puente, C., Coso, J. D., Salinero, J. J., & Abián-Vicén, J. (2015). Basketball performance indicators during the ACB regular season from 2003 to 2013. International Journal of Performance Analysis in Sport, 15(3), 935-948. https://doi.org/10.1080/24748668.2015.11868842
  • Saavedra, J. M., Þorgeirsson, S., Chang, M., Kristjánsdóttir, H., & García-Hermoso, A. (2018). Discriminatory power of women’s handball game-related statistics at the olympic games (2004-2016). Journal of Human Kinetics, 62(1), 221-229. https://doi.org/10.1515/hukin-2017-0172
  • Sampaio, J. & Janeira, M. (2003) Statistical analyses of basketball team performance: understanding team´s wins and losses according to a different index of ball possesions. International Journal of Performance Analysis in Sport, 3(1), 40-49. https://doi.org/10.1080/24748668.2003.11868273
  • Sampaio, J., Drinkwater, E. J., & Leite, N. M. (2010). Effects of season period, team quality, and playing time on basketball players' game-related statistics. European Journal of Sport Science, 10(2), 141-149. https://doi.org/10.1080/17461390903311935
  • Sampaio, J., & Leite, N. (2013). Performance indicators in game sports. In T. McGarry, P. O’donoghue, & J. Sampaio (Eds.), Routledge handbook of sports performance analysis (pp. 115–127). Routledge.
  • Stavropoulos, N., Kolias, P., Papadopoulou, A., & Stavropoulou, G. (2021). Game related predictors discriminating between winning and losing teams in preliminary, second and final round of basketball world cup 2019. International Journal of Performance Analysis in Sport, 21(3), 383-395. https://doi.org/10.1080/24748668.2021.1901437
  • Tabachnick, B.G. and Fidell, L.S. (2001). Using Multivariate Statistics. Harper Collins.
  • Zhang, S., Lorenzo, A., Gómez, M. A., Liu, H., Gonçalves, B., & Sampaio, J. (2017). Players’ technical and physical performance profiles and game-to-game variation in NBA. International Journal of Performance Analysis in Sport, 17(4), 466-483. https://doi.org/10.1080/24748668.2017.1352432
  • Zhang, S., Lorenzo, A., Gómez, M., Mateus, N., Gonçalves, B., & Sampaio, J. (2018). Clustering performances in the NBA according to players’ anthropometric attributes and playing experience and playing experience. Journal of Sports Sciences, 36(22), 2511-2520. https://doi.org/10.1080/02640414.2018.1466493

Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games

Yıl 2023, Cilt: 8 Sayı: 2, 148 - 156, 30.06.2023

Arıkan Ektirici

https://doi.org/10.25307/jssr.1233412
Cited By: 1

Öz

The purpose of this study was to examine the game-related statistics that differentiate winning and losing teams in the Turkish Basketball Super League based on game location. The data were obtained from the Turkish Basketball Federation’s official website (https://www.tbf.org.tr/ligler/bsl-2020-2021/maclar). The data of 258 matches of the Turkish Basketball Super League for the 2020-2021 season were included in the study” is better. After obtaining the data from the official website ball possessions, offensive efficiency, and defensive efficiency were calculated using Oliver’s formula. Following that, all game-related statistics except shooting percentages were normalized by ball possessions. A discrimination analysis was performed on the data. The results of the study showed that 3pt% (SC = .312) and defensive rebounds (SC = .334) were determinants to win home games while 2pm (SC = .416), 2pt% (SC = .364), defensive rebounds (SC = .305) and assists (SC = .365) were determinants to win away games. When all games considered, 2pm (SC = ,341), 2pt% (SC = .310), 3pt% (SC = .322), defensive rebounds (SC = .333) and assists (SC = .349) were important game related statistics to win games. Coaches could use the findings of the study to enhance their coaching process and prepare their teams for the upcoming games.

Anahtar Kelimeler

Discriminant analysis Basketball Home advantage Game location Game-related statistics.

Kaynakça

  • Alexandru, S. D., & Sabin, S. I. (2015). Study on the interpretation of the results in a volleyball game by using a specific program of statistics. Procedia-Social and Behavioral Sciences, 180, 1357-1363. https://doi.org/10.1016/j.sbspro.2015.02.277
  • Angel-Gómez, M., Lorenzo, A., Sampaio, J., Jose Ibanez, S., & Ortega, E. (2008). Game-related statistics that discriminated winning and losing teams from the Spanish men’s professional basketball teams. Collegium Antropologicum, 32(2), 451-456.
  • Ángel, G. M., Evangelos, T., & Alberto, L. (2006). Defensive systems in basketball ball possessions. International Journal of Performance Analysis in Sport, 6(1), 98-107. https://doi.org/10.1080/24748668.2006.11868358
  • Bishop, C.M. (1995). Neural Networks for Pattern Recognition. Oxford University Press.
  • Canuto, S. C., & de Almeida, M. B. (2022). Determinants of basketball match outcome based on game-related statistics: a systematic review and meta-analysis. European Journal of Human Movement, (48), 4-20. https://doi.org/10.21134/eurjhm.2022.48.2
  • Carvalho, E. M. O., Leicht, A. S., Nakamura, F. Y., Okuno, N. M., & Okazaki, V. H. A. (2017). Team statistical determinants of victory in Brazilian basketball. MOJ Sports Medicine, 1(4), 70-75. https://doi.org/10.15406/mojsm.2017.01.00018
  • Conte, D., Tessitore, A., Gjullin, A., Mackinnon, D., Lupo, C., & Favero, T. (2018). Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games. Biology of sport, 35(2), 137-143. https://doi.org/10.5114/biolsport.2018.71602
  • Courneya, K. S., & Carron, A. V. (1992). The home advantage in sport competitions: a literature review. Journal of Sport & Exercise Psychology, 14(1), 13-27. https://doi.org/10.1123/jsep.14.1.13
  • Csataljay, G., O’Donoghue, P., Hughes, M., & Dancs, H. (2009). Performance indicators that distinguish winning and losing teams in basketball. International Journal of Performance Analysis in Sport, 9(1), 60-66. https://doi.org/10.1080/24748668.2009.11868464
  • Çene, E. (2018). What is the difference between a winning and a losing team: Insights from Euroleague basketball. International Journal of Performance Analysis in Sport, 18(1), 55–68. https://doi.org/10.1080/24748668.2018.1446234
  • Dimitros, E., Garopoulou, V., Bakirtzoglou, P., & Maltezos, C. (2013). Differences and discriminant analysis by location in A1 Greek women’s basketball league. Sport Science, 6(1), 33-37.
  • Doğan, İ., & Ersöz, Y. (2019). The important game-related statistics for qualifying next rounds in Euroleague. Montenegrin Journal of Sports Science and Medicine, 8(1), 43-50. https://doi.org/10.26773/mjssm.190307
  • 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. https://doi.org/10.1080/24748668.2016.11868931
  • García, J., Ibáñez, S. J., De Santos, R. M., Leite, N., & Sampaio, J. (2013). Identifying basketball performance indicators in regular season and playoff games. Journal of Human Kinetics, 36, 161-168. https://doi.org/10.2478/hukin-2013-0016
  • García, J., Ibáñez, J. S., Gómez, A. M., & Sampaio, J. (2014). Basketball Game-related statistics discriminating ACB league teams according to game location, game outcome and final score differences. International Journal of Performance Analysis in Sport, 14(2), 443-452. https://doi.org/10.1080/24748668.2014.11868733
  • Gasperi, L., Conte, D., Leicht, A., & Gómez-Ruano, M. Á. (2020). Game related statistics discriminate national and foreign players according to playing position and team ability in the women’s basketball Euroleague. International Journal of Environmental Research and Public Health, 17(15), Article 5507. https://doi.org/10.3390/ijerph17155507
  • Giovanini, B., Conte, D., Ferreira-Junior, A., & Nascimento, V. B. (2021). Assessing the key game-related statistics in Brazilian professional basketball according to season phase and final score difference. International Journal of Performance Analysis in Sport, 21(2), 295-305. https://doi.org/10.1080/24748668.2021.1881358
  • Gómez, M. Á., Gasperi, L., & Lupo, C. (2016). Performance analysis of game dynamics during the 4thgame quarter of NBA close games. International Journal of Performance Analysis in Sport, 16 (1), 249–263. https://doi.org/10.1080/24748668.2016.11868884
  • Hofler, R., and Payne, J. (1997). Measuring efficiency in the national basket association. Economics letters, 55(2), 293-299. https://doi.org/10.1016/S0165-1765(97)00083-9
  • Ibañez, S. J., García-Rubio, J., Gómez, M.-Á., & Gonzalez-Espinosa, S. (2018). The impact of rule modifications on elite basketball teams’ performance. Journal of Human Kinetics, 64(1), 181-193. https://doi.org/10.1515/hukin-2017-0193
  • Ibáñez, S. J., Sampaio, J., Feu, S., Lorenzo, A., Gómez, M. A., & Ortega, E. (2008). Basketball game-related statistics that discriminate between teams’ season-long success. European journal of sport science, 8(6), 369-372. https://doi.org/10.1080/17461390802261470
  • Kuhn, A. W., Zuckerman, S. L., Totten, D., & Solomon, G. S. (2016). Performance and style of play after returning from concussion in the National Hockey League. The American journal of sports medicine, 44(8), 2152-2157. https://doi.org/10.1177/0363546516638327
  • Madarame, H. (2018). Age and sex differences in game-related statistics which discriminate winners from losers in elite basketball games. Motriz: Revista de Educação Física, 24, 1-7. https://doi.org/10.1590/S1980-6574201800010001
  • Mandić, R., Jakovljević, S., Erèulj, F., & Štrumbelj, E. (2019). Trends in NBA and Euroleague basketball: Analysis and comparison of statistical data from 2000 to 2017. Plos One, 14(10), 1–17. https://doi.org/10.1371/journal.pone.0223524
  • Melnick, M. J. (2001). Relationship between team assists and win-loss record in the National Basketball Association. Perceptual and Motor Skills, 92(2), 595-602. https://doi.org/10.2466/pms.2001.92.2.595
  • Mendes, R. S., Malacarne, L. C., & Anteneodo, C. (2007). Statistics of football dynamics. The European Physical Journal B, 57, 357-363. https://doi.org/10.1140/epjb/e2007-00177-4
  • Oliver, D. (2004) Basketball on paper. Rules and tools for performance analysis. Brassey's, Inc.
  • Otten, M. P., & Barrett, M. E. (2013). Pitching and clutch hitting in Major League Baseball: What 109 years of statistics reveal. Psychology of Sport and Exercise, 14(4), 531-537. https://doi.org/10.1016/j.psychsport.2013.03.003
  • Özdemir, E., & Ballı, S. (2020). Türkiye erkekler basketbol ligi maç sonuçlarinin makine öğrenmesi yöntemleri ile tahmini. Mühendislik Bilimleri ve Tasarım Dergisi, 8(3), 740-752. https://doi.org/10.21923/jesd.723109
  • Özmen, M. U. (2016). Marginal contribution of game statistics to probability of winning at different levels of competition in basketball: Evidence from the Euroleague. International Journal of Sports Science & Coaching, 11(1), 98-107. https://doi.org/10.1177/1747954115624828
  • Paulauskas, R., Masiulis, N., Vaquera, A., Figueira, B., & Sampaio, J. (2018). Basketball game-related statistics that discriminate between European players competing in the NBA and in the Euroleague. Journal of Human Kinetics, 65(1), 225-233. https://doi.org/10.2478/hukin-2018-0030
  • Pollard, R., & Gómez, M. A. (2007). Home advantage analysis in different basketball leagues according to team ability. Iberian Congress on Basketball Research, 4, 61-64.
  • Pollard, R., & Pollard, G. (2005). Long-term trends in home advantage in professional team sports in North America and England (1876-2003). Journal of Sports Sciences, 23(4), 337-350. https://doi.org/10.1080/02640410400021559
  • Puente, C., Coso, J. D., Salinero, J. J., & Abián-Vicén, J. (2015). Basketball performance indicators during the ACB regular season from 2003 to 2013. International Journal of Performance Analysis in Sport, 15(3), 935-948. https://doi.org/10.1080/24748668.2015.11868842
  • Saavedra, J. M., Þorgeirsson, S., Chang, M., Kristjánsdóttir, H., & García-Hermoso, A. (2018). Discriminatory power of women’s handball game-related statistics at the olympic games (2004-2016). Journal of Human Kinetics, 62(1), 221-229. https://doi.org/10.1515/hukin-2017-0172
  • Sampaio, J. & Janeira, M. (2003) Statistical analyses of basketball team performance: understanding team´s wins and losses according to a different index of ball possesions. International Journal of Performance Analysis in Sport, 3(1), 40-49. https://doi.org/10.1080/24748668.2003.11868273
  • Sampaio, J., Drinkwater, E. J., & Leite, N. M. (2010). Effects of season period, team quality, and playing time on basketball players' game-related statistics. European Journal of Sport Science, 10(2), 141-149. https://doi.org/10.1080/17461390903311935
  • Sampaio, J., & Leite, N. (2013). Performance indicators in game sports. In T. McGarry, P. O’donoghue, & J. Sampaio (Eds.), Routledge handbook of sports performance analysis (pp. 115–127). Routledge.
  • Stavropoulos, N., Kolias, P., Papadopoulou, A., & Stavropoulou, G. (2021). Game related predictors discriminating between winning and losing teams in preliminary, second and final round of basketball world cup 2019. International Journal of Performance Analysis in Sport, 21(3), 383-395. https://doi.org/10.1080/24748668.2021.1901437
  • Tabachnick, B.G. and Fidell, L.S. (2001). Using Multivariate Statistics. Harper Collins.
  • Zhang, S., Lorenzo, A., Gómez, M. A., Liu, H., Gonçalves, B., & Sampaio, J. (2017). Players’ technical and physical performance profiles and game-to-game variation in NBA. International Journal of Performance Analysis in Sport, 17(4), 466-483. https://doi.org/10.1080/24748668.2017.1352432
  • Zhang, S., Lorenzo, A., Gómez, M., Mateus, N., Gonçalves, B., & Sampaio, J. (2018). Clustering performances in the NBA according to players’ anthropometric attributes and playing experience and playing experience. Journal of Sports Sciences, 36(22), 2511-2520. https://doi.org/10.1080/02640414.2018.1466493
Toplam 42 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Spor Hekimliği, Turizm (Diğer)
Bölüm Orijinal Makale
Yazarlar

Arıkan Ektirici 0000-0002-1590-6687

Erken Görünüm Tarihi 27 Mayıs 2023
Yayımlanma Tarihi 30 Haziran 2023
Kabul Tarihi 4 Mart 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 8 Sayı: 2

Kaynak Göster

APA Ektirici, A. (2023). Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games. Spor Bilimleri Araştırmaları Dergisi, 8(2), 148-156. https://doi.org/10.25307/jssr.1233412
AMA Ektirici A. Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games. JSSR. Haziran 2023;8(2):148-156. doi:10.25307/jssr.1233412
Chicago Ektirici, Arıkan. “Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games”. Spor Bilimleri Araştırmaları Dergisi 8, sy. 2 (Haziran 2023): 148-56. https://doi.org/10.25307/jssr.1233412.
EndNote Ektirici A (01 Haziran 2023) Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games. Spor Bilimleri Araştırmaları Dergisi 8 2 148–156.
IEEE A. Ektirici, “Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games”, JSSR, c. 8, sy. 2, ss. 148–156, 2023, doi: 10.25307/jssr.1233412.
ISNAD Ektirici, Arıkan. “Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games”. Spor Bilimleri Araştırmaları Dergisi 8/2 (Haziran 2023), 148-156. https://doi.org/10.25307/jssr.1233412.
JAMA Ektirici A. Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games. JSSR. 2023;8:148–156.
MLA Ektirici, Arıkan. “Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games”. Spor Bilimleri Araştırmaları Dergisi, c. 8, sy. 2, 2023, ss. 148-56, doi:10.25307/jssr.1233412.
Vancouver Ektirici A. Game-Related Statistics Discriminating Winners and Losers in Turkish Basketball Super League: Effect of Home-Away Games. JSSR. 2023;8(2):148-56.

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