Performance Analysis in Elite Basketball Differentiating Game Outcome And Gender
Keywords:team sport, sex, game-related statistics, discriminant analysis
Traditionally, basketball research has used game-related statistics in order to discriminate winning and losing teams. Unfortunately, most investigations refer exclusively to the analysis of men's competitions. In this sense, Tokyo 2020 Olympic Games created a unique opportunity to make gender performance comparison feasible, since it provided same period and environmental conditions for both genders. The aim of this study was to identify which game-related statistics best discriminated winning and losing teams in men and women’s team playing Tokyo 2020 Basketball Olympic Tournament. All statistical data for the 26 games of each gender were obtained from the FIBA website. The MANOVA and discriminant analysis models were run to check differences according to gender and game outcome. The main results revealed 2-point field-goals percentage, defensive rebounds, assists, points in the paint, and effective field goal percentage as key variables to succeed in men and women’s games. However, there were gender discrepancies on 2-point field-goals made, points from turnovers, turnover per ball possession rate (relevant only when discriminating men’s winning teams), and fastbreak points, offensive rebounds percentage, and free-throw rate (only for women’s winning teams). Winning and losing discriminant statistics were quite similar for both, men and women’s teams when only considering traditional box-score stats, but not when analyzing advanced stats.
Alferink, L. A., Critchfield, T. S., Hitt, J. L., & Higgins, W. J. (2009). Generality of the matching law as a descriptor of shot selection in basketball. J Appl Behav Anal, 42(3), 595-608. doi:DOI: 10.1901/jaba.2009.42-595
Böheim, R., Grübl, D., & Lackner, M. (2019). Choking under pressure: evidence of the causal effect of audience size on performance. J Econ Behav Org, 168, 76-93. doi:DOI: 10.1016/j.jebo.2019.10.001
Cárdenas, D., Ortega, E., Llorca, J., Courel, J., Sánchez-Delgado, G., & Isabel Piñar, M. (2015). Motor characteristics of fast break in high level basketball. Kinesiology, 47(2.), 208-214.
Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis (2nd ed.). New York: Psychology Press.
Conte, D., Favero, T. G., Niederhausen, M., Capranica, L., & Tessitore, A. (2017). Determinants of the effectiveness of fast break actions in elite and sub-elite Italian men's basketball games. Biol Sport, 34(2), 177-183. doi:DOI: 10.5114/biolsport.2017.65337
Conte, D., & Lukonaitiene, I. (2018). Scoring strategies differentiating between winning and losing teams during FIBA EuroBasket Women 2017. Sports (Basel), 6(2). doi:DOI: 10.3390/sports6020050
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. Biol Sport, 35(2), 137-143. doi:DOI: 10.5114/biolsport.2018.71602
Csataljay, G., James, N., Hughes, M., & Dancs, H. (2011). Pace as an influencing factor in basketball. In M. Hughes, H. Dancs, K. Nagyváradi, T. Polgár, N. James, G. Sporis, G. Vuckovic, & M. Jovanovi (Eds.), Research methods and performance analysis (Vol. 13). Sopron, Hungary: Routledge.
Csátaljay, G., James, N., Hughes, M., & Dancs, H. (2017). Analysis of influencing factors behind offensive rebounding performance in elite basketball. Int J Sports Sci Coaching, 12(6), 774-781. doi:DOI: 10.1177/1747954117738900
García, J., Ibáñez, S. J., Santos, R. M., Leite, N., & Sampaio, J. (2013). Identifying basketball performance indicators in regular season and playoff games. J Hum Kinet, 36, 161. doi:DOI: 10.2478/hukin-2013-0016
Gasperi, L., Conte, D., Leicht, A., & Gómez-Ruano, M. (2020). Game related statistics discriminate national and foreign players according to playing position and team ability in the Women's Basketball EuroLeague. Int J Environ Res Public Health, 17(15). doi:DOI: 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. doi:DOI: 10.1080/24748668.2021.1881358
Gomes, J. H., Mendes, R. R., Almeida, M. B., Zanetti, M. C., Leite, G. S., & Ferreira Jr, A. J. (2017). Relationship between physical fitness and game related statistics in elite professional basketball players: Regular season vs. playoffs. Motriz: J Phys Ed, 23(2), e101626. doi:DOI: 10.1590/S1980-6574201700020004
Gòmez, M., Lorenzo, A., Ortega, E., Sampaio, J., & Ibàñez, S. J. (2009). Game related statistics discriminating between starters and nonstarters players in Women's National Basketball Association League (WNBA). J Sports Sci Med, 8(2), 278-283.
Gómez, M. A., Ibáñez, S. J., Parejo, I., & Furley, P. (2017). The use of classification and regression tree when classifying winning and losing basketball teams. Kinesiology, 49(1), 47-56.
Gómez, M. A., Lorenzo, A., Barakat, R., Ortega, E., & Palao, J. M. (2008). Differences in game-related statistics of basketball performance by game location for men's winning and losing teams. Percept Mot Skills, 106(1), 43-50. doi:DOI: 10.2466/pms.106.1.43-50
Gómez, M. A., Lorenzo, A., Sampaio, J., Ibáñez, S. J., & Ortega, E. (2008). Game-related statistics that discriminated winning and losing teams from the Spanish men's professional basketball teams. Coll Antropol, 32(2), 451-456.
Gómez, M. Á., Medina, R., Leicht, A. S., Zhang, S., & Vaquera, A. (2020). The performance evolution of match play styles in the Spanish Professional Basketball League. Appl Sci, 10(20), 7056. doi:DOI: 10.3390/app10207056
Ibáñez, S., Sampaio, J., Sáenz-López, P., Giménez, J., & Janeira, M. (2003). Games statistics discriminating the final outcome of Junior World Basketball Championship matches. J Hum Mov Studies, 45, 1-19.
Ibáñez, S. J., Feu, S., García, J., Parejo, I., & Cañadas, M. (2009). Shot differences between professional (ACB) and amateur (EBA) basketball teams: multifactorial study Rev Psicol Deporte, 18(suppl.), 313-317.
Ibañez, S. J., Garcia-Rubio, J., Gómez, M. Á., & Gonzalez-Espinosa, S. (2018). The impact of rule modifications on elite basketball teams' performance. J Hum Kinet, 64, 181-193. doi:DOI: 10.1515/hukin-2017-0193
Ibáñez, S. J., García, J., Feu, S., Lorenzo, A., & Sampaio, J. (2009). Effects of consecutive basketball games on the game-related statistics that discriminate winner and losing teams. J Sports Sci Med, 8(3), 458-462.
Jaguszewski, M. (2020). Increasing role of three-point field goals in National Basketball Association. TSS, 27(1), 5-11. doi:DOI: 10.23829/TSS.2020.27.1-1
Jesus, C. S., Gomes, J. H., & Almeida, M. B. (2018). Effects of prior high-strength effort on technical-tactical performance in university basketball players. J Phys Educ, 29, e2977. doi:DOI: 10.4025/jphyseduc.v29i1.2977
Leicht, A. S., Gomez, M. A., & Woods, C. T. (2017). Team performance indicators explain outcome during women's basketball matches at the Olympic Games. Sports (Basel), 5(4). doi:DOI: 10.3390/sports5040096
Leicht, A. S., Gómez, M. A., & Woods, C. T. (2017). Explaining match outcome during the men's basketball tournament at the Olympic Games. J Sports Sci Med, 16(4), 468-473.
Lorenzo, A., Gómez, M., Ortega, E., Ibáñez, S. J., & Sampaio, J. (2010). Game related statistics which discriminate between winning and losing under-16 male basketball games. J Sports Sci Med, 9(4), 664-668.
Lorenzo, J., Lorenzo, A., Conte, D., & Giménez, M. (2019). Long-term analysis of elite basketball players' game-related statistics throughout their careers. Front Psychol, 10, 421. doi:DOI: 10.3389/fpsyg.2019.00421
Lucey, P., Bialkowski, A., Carr, P., Yue, Y., & Matthews, I. (2014). How to get an open shot: analyzing team movement in basketball using tracking data. Paper presented at the MIT Sloan Sports Analytics Conference, Boston, MA, United States.
Madarame, H. (2017). Game-related statistics which discriminate between winning and losing teams in Asian and European men’s basketball championships. Asian J Sports Medine, 8(2). doi:DOI: 10.5812/asjsm.42727.
Madarame, H. (2018). Age and sex differences in game-related statistics which discriminate winners from losers in elite basketball games. Motriz: J Phys Ed, 24(1), e1018153. doi:DOI: 10.1590/S1980-6574201800010001
Mandić, R., Jakovljević, S., Erčulj, F., & Štrumbelj, E. (2019). Trends in NBA and Euroleague basketball: analysis and comparison of statistical data from 2000 to 2017. PLoS One, 14(10), e0223524. doi:DOI: 10.1371/journal.pone.0223524
McHill, A. W., & Chinoy, E. D. (2020). Utilizing the National Basketball Association's COVID-19 restart "bubble" to uncover the impact of travel and circadian disruption on athletic performance. Sci Rep, 10(1), 21827. doi:DOI: 10.1038/s41598-020-78901-2
Mikołajec, K., Banyś, D., Żurowska-Cegielska, J., Zawartka, M., & Gryko, K. (2021). How to win the Basketball Euroleague? Game performance determining sports results during 2003-2016 matches. J Hum Kinet, 77, 287-296. doi:DOI: 10.2478/hukin-2021-0050
Oliver, D. (2004). Basketball on paper: rules and tools for performance analysis. Washington, D.C.: Brassey's, Inc.
Özmen, M. U. (2016). Marginal contribution of game statistics to probability of winning at different levels of competition in basketball: evidence from the Euroleague. Int J Sports Sci Coaching, 11(1), 98-107. doi:DOI: 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. J Hum Kinet, 65, 225-233. doi:DOI: 10.2478/hukin-2018-0030
Pérez-Ferreirós, A., Kalén, A., Gómez, M. Á., & Rey, E. (2019). Reliability of teams' game-related statistics in basketball: number of games required and minimal detectable change. Res Q Exerc Sport, 90(3), 297-306. doi:DOI: 10.1080/02701367.2019.1597243
Puente, C., Del Coso, J., 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. doi:DOI: 10.1080/24748668.2015.11868842
Refoyo, I., Romarís, I. U., & Sampedro, J. (2009). Analysis of men's and women's basketball fast-breaks. Rev Psicol Deporte, 18(3), 439-444.
Rolland, G., Vuillemot, R., Bos, W., & Rivière, N. (2020). Characterization of space and time-dependence of 3-point shots in basketball. Paper presented at the MIT Sloan Sports Analytics Conference, Boston, United States. https://hal.archives-ouvertes.fr/hal-02482706
Saavedra, J. M., Escalantel, Y., Madera, J., Mansilla, M., & García-Hermoso, A. (2014). Comparison of game-related statistics in men's international championships between winning and losing teams according to margin of victory. Coll Antropol, 38(3), 901-907.
Sampaio, J., Godoy, S. I., & Feu, S. (2004). Discriminative power of basketball game-related statistics by level of competition and sex. Percept Mot Skills, 99(3 Pt 2), 1231-1238. doi:DOI: 10.2466/pms.99.3f.1231-1238
Sampaio, J., Ibáñez, S., Lorenzo, A., & Gómez, M. (2006). Discriminative game-related statistics between basketball starters and nonstarters when related to team quality and game outcome. Percept Mot Skills, 103(2), 486-494. doi:DOI: 10.2466/pms.103.2.486-494
Sampaio, J., & Janeira, M. (2003). Statistical analyses of basketball team performance: understanding teams’ wins and losses according to a different index of ball possessions. International Journal of Performance Analysis in Sport, 3(1), 40-49. doi:DOI: 10.1080/24748668.2003.11868273
Santos, Y. Y. S., Monezi, L. A., Misuta, M. S., & Mercadante, L. A. (2018). Technical Indicators registered as a function of the playing time in Brazilian basketball. Rev Bras Cineantropom Desempenho Hum, 20(2), 172-181. doi:DOI: 10.1590/1980-0037.2018v20n2p172
Sawilowsky, S. S. (2009). New effect size rules of thumb. Journal of Modern Applied Statistical Methods, 8(2), 597-599. doi:10.22237/jmasm/1257035100
Skinner, B. (2012). The problem of shot selection in basketball. PLoS One, 7(1), e30776. doi:DOI: 10.1371/journal.pone.0030776
Tabachnick, B. G., & Fidell, L. S. (2019). Using multivariate statistics (7th ed.). Boston: Pearson.
Trninić, S., Dizdar, D., & Lukšić, E. (2002). Differences between winning and defeated top quality basketball teams in final tournaments of European club championship. Coll Antropol, 26(2), 521-531.
Zhai, Z., Guo, Y., Zhang, S., Li, Y., & Liu, H. (2020). Explaining positional differences of performance profiles for the elite female basketball players. Front Psychol, 11, 558750. doi:DOI: 10.3389/fpsyg.2020.558750
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