Difference-based analysis of the impact of observed game parameters on the final score at the FIBA Eurobasket Women 2019


  • Slobodan Simović University of Banja Luka, Bosnia and Herzegovina
  • Jasmin Komić University of Banja Luka, Bosnia and Herzegovina
  • Bojan Guzina University of Banja Luka, Bosnia and Herzegovina
  • Zoran Pajić University of Belgrade, Serbia
  • Tamara Karalić University of Banja Luka, Bosnia and Herzegovina
  • Goran Pašić University of Banja Luka, Bosnia and Herzegovina




Defensive rebound, Field goals made, Offensive efficiency, Regression models, Turn overs, Women’s basketball


Evaluation in women's basketball is keeping up with developments in evaluation in men’s basketball, and although the number of studies in women's basketball has seen a positive trend in the past decade, it is still at a low level. This paper observed 38 games and sixteen variables of standard efficiency during the FIBA EuroBasket Women 2019. Two regression models were obtained, a set of relative percentage and relative rating variables, which are used in the NBA league, where the dependent variable was the number of points scored. The obtained results show that in the first model, the difference between winning and losing teams was made by three variables: true shooting percentage, turnover percentage of inefficiency and efficiency percentage of defensive rebounds, which explain 97.3%, while for the second model, the distinguishing variables was offensive efficiency, explaining for 96.1% of the observed phenomenon. There is a continuity of the obtained results with the previous championship, played in 2017. Of all the technical elements of basketball, it is still the shots made, assists and defensive rebounds that have the most significant impact on the final score in European women’s basketball. It can be noted that, unlike with the previous championship, inside play is no longer dominant, but there is a balance between inside and outside play, which has already been established as a developing trend in men’s basketball. The emergence of the offensive efficiency variable indicates that it is becoming significant in top-tier competitions as well but is still a challenge for coaches to grasp the causes of this multicomplex issue based on this indicator.


Download data is not yet available.


Aizemberg, L., Roboredo, M.C., Ramos, T.G., Soares de Mello, J.C., Meza, L.A., & Alves, A.M. (2014). Measuring the NBA teams’ cross-efficiency by DEA game. American Journal of Operations Research, 4, 101–112. https://doi.org/10.4236/ajor.2014.43010

Barris, S., & Button, C. (2008). A review of vision-based motion analysis in sport. Sports Medicine, 38(12), 1025-1043. https://doi.org/10.2165/00007256-200838120-00006

Bazanov, B. (2007). Integrative approach of the technical and tactical aspects in basketball.coaching. Unpublushed Doctoral dissertations on social sciences, Tallinn University, Estonian.

Bazanov, B., & Rannama, I. (2015). Analysis of the offensive teamwork intensity in elite female basketball. Journal of Human Sport and Exercises, 10(1), 47–51. https://doi.org/10.14198/jhse.2015.101.05

Blanco, V., Salmerón, R., & Gómez-Haro, S. (2018). A multiplication selection system based on player performance: Case study – The Spanish ACB Basketball League. arXiv:1802.07039 [math.OC], 27, 1029–1046. https://doi.org/10.1007/s10726-018-9583-9

Carter, J. E. L., Ackland, T. R., Kerr, D. A., & Stapff, A. B. (2005). Somatotype and size of elite female basketball players. Journal of Sports Sciences, 23(10), 1057−1063. https://doi.org/10.1080/02640410400023233

Celeux, G., & Robert, V. (2015). Towards an objective team efficiency rate in basketball, Journal de la Société Française de Statistique, 156(2), 51–68.

Conte, D., Favero, T. G., Lupo, C., Francioni, F. M., Capranica, L., & Tessitore, A. (2015). Time-motion analysis of Italian elite women’s basketball games: Individual and team analyses. Journal of Strength and Conditioning Research, 29(1), 144−150. https://doi.org/10.1519/jsc.0000000000000633

Conte, D., & Lukonaitiene, I. (2018). Scoring strategies differentiating between winning and losing teams during FIBA EuroBasket Women 2017. Sports (Basel), 6(2), e50. https://doi.org/10.3390/sports6020050

Correia, V., Araújo, D., Vilar, L., & Davids, K. (2013). From recording discrete actions to studying continuous goaldirected behaviours in team sports. Journal of Sports Sciences, 1(5), 546–553. https://doi.org/10.1080/02640414.2012.738926

Courel-Ibáñez, J., Suárez-Cadenas, E., & Cárdenas-Vélez, D. (2017). Inside game ball transitions according to players’ specific positions in NBA basketball. Cuadernos de Psicologia Del Deporte, 17(3), 239–248.

Csataljay, G., Hughes, M., James N., & Dancs, H. (2012). Pace as an influencing factor in basketball. In Hughes, M., Dancs, H., Nagyváradi, K., Polgár, T., James, N., Sporis, G., Vuckovic, G., & Jovanović, M. (Eds.), Conference Research Methods and Performance Analysis (pp. 178–187). Sopron, Hungary: University of West Hungary.

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.

Fylaktakidou, A., Evangelos, T., & Zaggelidis, G. (2011). The turnovers analysis to the Women’s National League Basketball Games. Sport Science Review, 20(3-4), 69−83. https://doi.org/10.2478/v10237-011-0055-2

Fylaktakidou, A., Evangelos, T., & Zaggelidis, G. (2011). The effecticeness of types of shots in relation to position of execution of shots in women’s basketball. Sudia UBB Educatio Aatis Gymn., 62(2), 39−51.

Gomez, M.Á., Gasperi, L., & Lupo, C. (2016). Performance analysis of game dynamics during the 4th game quarter of NBA close games. International Journal of Performance Analysis in Sport, 16(1), 249–263. https://doi.org/10.1080/24748668.2016.11868884

Gómez, M.A., Lago-Peñas, C., & Pollard, R. (2013). Situational variables. In McGarry, T., O’Donoghue, P., and Sampaio, J. (Eds). Routledge handbook of sport performance analysis (pp. 259–269). London, UK: Routledge. https://doi.org/10.4324/9780203806913.ch21

Gómez, M.A., Lorenzo, A., Ibáñez, S. J., & Sampaio, J. (2013). Ball possessions effectiveness in men´s and women’s elite basketball according to situational variables in different game periods. Journal of Sports Sciences, 31(14), 1578-1587. https://doi.org/10.1080/02640414.2013.792942

Gómez, M.A., Lorenzo, A., Ortega, E., Sampaio, J.; & Ibáñez, 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, 278–283.

Gómez, M. Á., Lorenzo A., Sampaio, J., & Ibáñez, S. J. (2006). Differences in game-related statistics between winning and losing teams in women's basketball. Journal of Human Movement Studies, 51(5), 357–369.

Graber, L.M. (1998). The relationship between rebounding and winning percentage N.C.A.A. Division I Big Sky Conference women´s basketball. Exercise and Sport Sciences, 12(1), 2.

Gréhaigne, J. F., & Godbout, P. (1995). Tactical knowledge in team sports-from a constructivist and cognitivist perspective. Quest, 47(4), 490-550. https://doi.org/10.1080/00336297.1995.10484171

Gréhaigne, J. F., Godbout, P., & Bouthier, D. (1997). Performance Assessment in Team Sports. Journal of Teaching in Physical Education, 16(4), 500–516.https://doi.org/10.1123/jtpe.16.4.500

Hickson, D. A., & Waller, L. A. (2003). Spatial analyses of basketball shot charts: An application to Michael Jordans 2001 - 2002 NBA season. Technical Report. Atlanta, GA: Department of Biostatistics, Emory University.

Hofler, R.A., & Payne, J.E. (1997). Measuring efficiency in the National Basketball Association. Economics letters, 55(2), 293–299. https://doi.org/10.1016/s0165-1765(97)00083-9

Hughes, M.D., Cooper, S-M., & Nevill, A. (2002). Analysis procedures for non-parametric data from performance analysis. International Journal of Performance Analysis in Sport, 2(1), 6–20. https://doi.org/10.1080/24748668.2002.11868257

Hughes, M.D., & Bartlett, R.M. (2002). The use of performance indicators in performance analysis. J Sports Sci, 20(10), 739-754. https://doi.org/10.1080/026404102320675602

Huges, M.D., & Franks, I.M. (2004). Notational analysis of sport: better systems for improving coaching and performance. 2nd ed. London, UK: E. & F.N. Spon. https://doi.org/10.4324/9780203641958

Kioumourtzoglou, E., Derri, V., Tzetzis, G., & Theodorakis, Y. (1998). Cognitive, perceptual, and motor abilities in skilled basketball performance. Percept Mot Skills, 86(3), 771–786. https://doi.org/10.2466/pms.1998.86.3.771

Koh, K.T., Wang, C.K.J, & Mallett, C.J. (2012). Discriminating factors between successful and unsuccessful elite youth Olympic female basketball teams. International Journal of Performance Analysis in Sport, 12(1), 119–131. https://doi.org/10.1080/24748668.2012.11868588

Koh, K., John, W., & Mallett, C. (2011). Discriminating Factors between Successful and Unsuccessful Teams: A Case Study in Elite Youth Olympic Basketball Games, Journal of Quantitative Analysis in Sports, 7(3). https://doi.org/10.2202/1559-0410.1346

Kreivyte, R., Emljanovas, A., Sporiš, G., Knjaz, D., Vučković, G, & Milanović, Z. (2013). Shooting performance did not change in elite women’s national basketball teams from 1995 to 2011. Annales Kinesiologia, 4(1), 45–56.

Kreivytė, R., & Čižauskas, A. (2007). Alternation of indices of shots made by the best world women’s basketball teams. Ugdymas Kūnokultūra Sportas, 2(65), 30–36.

Kreivytė, R., & Čižauskas, A. (2010). Differences of indicators in competitive performance between winning and losing teams in basketball. Ugdymas Kūnokultūra Sportas, 2(77), 41–48.

Kubatko, J., Oliver, D., Pelton, K., & Rosenbaum, D.T. (2007). A starting point for analyzing Basketball statistics. Journal of Quantitative Analysis in Sports, 3(3), 1–22. https://doi.org/10.2202/1559-0410.1070

Leicht, A., Gomez, M., & Woods, C. (2017). Team performance indicators explain outcome during women’s basketball matches at the Olympic Games. Sports (Basel), 5(4), e96. https://doi.org/10.3390/sports5040096

Lemmink, K., & Frencken, W. (2013). Tactical performance analysis in invasion games: Perspectives from a dynamic system approach with examples from soccer. In McGarry, T., O’Donoghue, P., & Sampaio, J. (Eds.), Routledge handbook of sports performance analysis (pp. 89-100). Oxfordshire and New York, UK and USA: Routledge. https://doi.org/10.4324/9780203806913.ch8

Madarame, H. (2018a). Defensive rebounds discriminate winners from losers in European but not in Asian women’s basketball championships. Asian J. Sports Med., 9, e67428. DOI: 10.5812/asjsm.67428. https://doi.org/10.5812/asjsm.67428

Madarame, H. (2018b). Regional differences in women's basketball: A comparison among continental championships. Sports (Basel), 6(3), e65. https://doi.org/10.3390/sports6030065

Madarame, H. (2018c). Basketball Game-Related Statistics that Discriminate among Continental Championships for Under-18 Women. Sports (Basel), 6(4), e114. https://doi.org/10.3390/sports6040114

Madarame, H. (2018d). Age and sex differences in game-related statistics which discriminate winners from losers in elite basketball games. Motriz: rev. educ. fis., 24(1), e1018153. https://doi.org/10.1590/s1980-6574201800010001

Martinez, J.A. (2012). Factors determining production (FDP) in basketball. Economics and Business Letters, 1(1), 21-29. https://doi.org/10.17811/ebl.1.1.2012.21-29

Mavridis, G., Laios, A., Taxildaris, K., & Tsiskaris, G. (2004). Developing offense in basketball after a return pass outside as crucial factor of winning. Inquiries in Sport and Physical Education, 2(1), 81–86.

Messersmith, L.L., Laurence, J., & Randels, K. (1940). A study of distances traversed by college men and women in playing the game of basketball. Research Quarterly, 9(3), 30–31. https://doi.org/10.1080/10671188.1940.10627262

Mikes, J. (1987). Computer breakdown of percentage basketball. Scholastic Coach, 57(4), 52–54.

Mikołajec, K., Maszczyk, A., & Zając, T. (2013). Game Indicators Determining Sports Performance in the NBA. Journal of Human Kinetics, 37(1), 145–151. https://doi.org/10.2478/hukin-2013-0035

Milanović, D., Štefan, L., Sporiš, G., & Vuleta, D. (2016). Effects of game-related statistics parameters on final outcome in female basketball teams on Olympic Games in London 2012. International Journal of Current Advanced Research, 5(8), 1186–1189.

Miner, N., Hodgson, P.A, & Espenshade, A. (1940). Study of distance traversed and time spent in active play in women's basketball, Research Quarterly, 9, 95–101.

Moreno, E., Gómez, M.A., Lago, C., & Sampaio, J. (2013). Effects of starting quarter score, game location, and quality of opposition in quarter score in elite women’s basketball. Kinesiology, 45(1), 48–54. https://doi.org/10.1080/17461391003699104

Nakić, J. (2004). Differences in standard and derived situation efficacy parameters between men’s and women’s basketball teams in senior European basketball championships in 2003. Unpublished master thesis, University of Zagreb, Croatia.

Nevill, A., Atkinson, G., & Hughes, M. (2008). Twenty-five years of sport performance research in the Journal of Sports Sciences. Journal of Sports Sciences, 26(4), 413–426. https://doi.org/10.1080/02640410701714589

Nunes, H., Iglesias, X., Daza, G., Irurtia, A., Caparrós, T., & Anguera, M. T. (2016). The influence of pick and roll in attacking play in top-level basketball. Cuadernos de Psicologia Del Deporte, 16(1), 129–142.

Oliver, D. (2004). Basketball on paper: Rules and tools for performance analysis. Washington, DC, USA: Brassey´s, Inc.

Page, G.L., Fellingham, G.W., & Reese, C.S. (2014). Using box-scores to determine a position’s contribution to winning basketball games. Journal of Quantitative Analysis in Sports, 4(3), 1–18. https://doi.org/10.2202/1559-0410.1033

Piette, J., Anand, S., & Zhang. K. (2010). Scoring and shooting abilities of NBA players. Journal of Quantitative Analysis in Sports, 6(1), 1–25. https://doi.org/10.2202/1559-0410.1194

Ribas, R.L., Navarro, R., Tavares, F., & Gómez, M.A. (2011). Analysis of number of players involved in rebound situations in Euroleague basketball games. Open Sports Sciences Journal, 4, 10-13. https://doi.org/10.2174/1875399x01104010010

Riley, P. (1993). The winner within: A life plan for team players. New York, NY: Putnam's.

Sampio, J., Cachulio, C., & Janeira, M. (1998). Quantitative analysis in Women's Basketball: identifying variables and game periods related to final outcome. In Hughes, M., & Tavares, F. (Eds.), Proceedings of the 4th World Congress of Notational Analysis of Sport. Porto, Portugal: Centre for Team Sports Studies, Faculty of Sport Sciences and Physical Education, University of Porto.

Sampaio, J., Drinkwater, E.J., & Leite, N. (2010). Effects of Season Period, Team Quality, and Playing Time on Basketball Players’ Game-Related Statistics. European Journal of Sport Sciences, 10(2), 141–149. https://doi.org/10.1080/17461390903311935

Sampaio, J., Ibáñez, S.J., & Lorenzo, A. (2013). Basketball. In McGarry, T., O’Donoghue, P., & Sampaio, J. (Eds.), Routledge Handbook of Sports Performance Analysis (pp. 357–366). Oxfordshire and New York, UK and USA: Routledge. https://doi.org/10.4324/9780203806913.ch28

Sampaio, J., & Janeira, M. (2003). Statistical analysis of basketball team performance: understaanding 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

Șentuna, M., Șentuna, N., Özdemir, N., Serter, K., & Özen, G. The investigation of the effects of some variables in the playoff games played in Turkey Women’s Basketball Super League between 2013–2017 on winning and losing. Phys. Educ. Stud., 22(3), 146–150. https://doi.org/10.15561/20755279.2018.0306

Simović, S., & Komić, J. (2008). Analysis of influence of certain elements of basketball game on final result based on differentiation at the XIII, XIV and XV World Championship. Acta Kinesiologica, 2(2), 57–65.

Simović, S., Komić, J., Guzina, B., Pajić, Z., & Vojvodić, M. (2017). Influence of game related statstical elements on final results in FIBA Eurobasket Women 2017. Facta Universitatis, 16(4), 709–723. https://doi.org/10.22190/fupes181204063s

Simović, S., Komić, J., Matković, B., & Nićin, Đ. (2012). Analysis of results at Eurobasket 2011 – final results of observed elements of basketball game. In Simović, S. (Ed.), Anthropological aspects of sports, physical education and recreation, 3rd International scientific conference (pp. 19–28). Banja Luka, Bosnia and Herzegovina: Faculty of Physical Education and Sport, University of Banja Luka.

Simović, S., Komić, J., Matković, B., Pajić, Z., & Guzina, B. (2019). Analysis of influence basketball game-related statistics on final result based on differentiate at the 2017 FIBA Asia Cup. Asia Journal of Sport Medicine, e69109. https://doi.org/10.5812/asjsm.69109

Simović, S., Matković, B., Mijanović, M., Kocić, M., & Vojvodić, M. (2012). Structure of efficiency factor at XIII, XIV, XV, and XVI World Championship in basketball. Journal of Human Sport and Exersises, 7(2), 527–543. https://doi.org/10.4100/jhse.2012.72.16

Simović, S., & Pavlović, P. (2013). Basketball on the territory of the former Yugoslavia until May 1945. Banja Luka, Bosnia and Herzegovina: University of Banja Luka, Faculty of Physical Education and sport.

Škegro, D. (2013). Evaluating different types of attack in a basketball game based on their start, outcome, duration and number of additions. Unpublished Doctoral dissertation, University of Zagreb, Faculty of Kinesiology, Croatia.

Smith, D. (1999). Basketball, multiple offense and defense. 4th ed. Boston, MA: Allyn and Bacon.

Stavropoulos, N., Gerodimos, Β., Tzouvaris, G., & Kellis S. (2001). Basic passing types in the maximisation of success in the modern Basketball. Athletic Performance and Health, 3(3), 167–173.

Theocharopoulos, Α., Tsitskaris, G., & Garefis Α. (2012). Types of passing and their effectiveness in female basketball. Woman and Sport, 1(1), 59-68.

Trninić S. (1996). Analysis and learning of basketball game. Pula, Croatia: Vikta.

Trninić, S. (2006). Selection, preparation and leadership of basketball players and teams. Zagreb, Croatia: Vikta- Marko d.o.o.

Trninić, S., Dizdar, D., & Dežman, B. (2000). Empirical verification of the weighted system of criteria for the elite basketball players quality evaluation. Collegium Anthropologicum, 24(2), 431–442.

Veleirinho, A., & Tavares, F. (2013). Did the three point line change influence the female youth basketball? Analysis of the predictive factors from winning teams (U-16 and U-20). Revista de Psicología del Deporte, 22(1), 283–287.

Volossovitch, A. (2017). Research topics in basketball. In Passos, P., Araújo, D., & Volossovitch, A., (Eds), Performance Analysis in Team Sports (pp. 173–199). Oxfordshire and New York, UK and USA: Routledge.

Yu, K-T, Su Z-S, & Zhuang, R-C. (2008). An exploratory study of long-term performance evaluation for elite basketball players. International Journal of Sports Science and Engineering, 2(4), 195–203.

Zhang, T., Hu, G., & Liao, Q. (2010). Analysis of offense tactics of basketball games using link prediction. In Matsuo, T., Ishii, N., & Lee, R. (Eds), 12th IEEE/ACIS International Conference on Computer and Information Science – Proceedings (pp. 207–212). Niigata, Japan: ACIS International. https://doi.org/10.1109/icis.2013.6607842


Statistics RUA



How to Cite

Simović, S., Komić, J., Guzina, B., Pajić, Z., Karalić, T., & Pašić, G. (2021). Difference-based analysis of the impact of observed game parameters on the final score at the FIBA Eurobasket Women 2019. Journal of Human Sport and Exercise, 16(2), 373–387. https://doi.org/10.14198/jhse.2021.162.12



Performance Analysis of Sport

Most read articles by the same author(s)