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Performance Analysis

A method to assess the influence of individual player performance distribution on match outcome in team sports

, &
Pages 1893-1900 | Accepted 08 Jan 2016, Published online: 06 Feb 2016

References

  • Bourbousson, J., Deschamps, T., & Travassos, B. (2014). From players to teams: Towards a multi-level approach of game constraints in team sports. International Journal of Sports Science and Coaching, 9, 1393–1406.
  • Buszard, T., Farrow, D., & Kemp, J. (2013). Examining the influence of acute instructional approaches on the decision-making performance of experienced team field sport players. Journal of Sports Sciences, 31, 238–247.
  • 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, 137–147.
  • Cervone, D., D’Amour, A., Bornn, L., & Goldsberry, K. (2014). A multiresolution stochastic process model for predicting basketball possession outcomes. Arxiv, Preprint Arxiv:1408.0777.
  • Clemente, F. M., Martins, F. M. L., Couceiro, M. S., Mendes, R. S., & Figueiredo, A. J. (2014). A network approach to characterize the teammates’ interactions on football: A single match analysis. Cuadernos de Psicología del Deporte, 14, 141–148.
  • Duch, J., Waitzman, J. S., & Amaral, L. A. N. (2010). Quantifying the performance of individual players in a team activity. Plos One, 5, e10937.
  • Gomez, M. A., Lorenzo, A., & Barakat, R. (2008). Differences in game-related statistics of basketball performance by game location for men’s winning and losing teams. Perceptual and Motor Skills, 106, 43–50.
  • Halekoh, U., Hojsgaard, S., & Yan, J. (2006). The R Package geepack for generalised estimating equations. Journal of Statistical Software, 15, 1–11.
  • Heasman, J., Dawson, B., Berry, J., & Stewart, G. (2008). Development and validation of a player impact ranking system in Australian football. International Journal of Performance Analysis in Sport, 8, 156–171.
  • Hughes, M. D., & Bartlett, R. M. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20, 739–754.
  • Kempton, T., Sirotic, A. C., Cameron, M., & Coutts, A. J. (2013). Match-related fatigue reduces physical and technical performance during elite rugby league match-play: A case study. Journal of Sports Sciences, 31, 1770–1780.
  • Newell, K. M. (1986). Constraints on the development of co-ordination. In M. G. Wade & H. T. A. Whiting (Eds.), Motor development in children: Aspects of co-ordination and control (pp. 341–360). Dodrech: Martinus Nijhoff.
  • Norton, K. I., Craig, N. P., & Olds, T. S. (1999). The evolution of Australian football. Journal of Science and Medicine in Sport, 2, 389–404.
  • O’Shaughnessy, D. M. (2006). Possession versus position: Strategic evaluation in AFL. Journal of Sports Science & Medicine, 5, 533–540.
  • Ofoghi, B., Zeleznikow, J., MacMahon, C., & Raab, M. (2013). Data mining in elite sports: A review and a framework. Measurement in Physical Education and Exercise Science, 17, 171–186.
  • Önder, H. (2015). Comparative study of generalised estimating equations and logistic regressions on different sample sizes and correlation levels. Communications in Statistics-Simulation and Computation. doi:10.1080/03610918.2015.1010000
  • Passos, P., Davids, K., Araújo, D., Paz, N., Minguéns, J., & Mendes, J. (2011). Networks as a novel tool for studying team ball sports as complex social systems. Journal of Science and Medicine in Sport, 14, 170–176.
  • Reilly, T. (2001). Assessment of sports performance with particular reference to field games. European Journal of Sport Science, 1, 1–12.
  • Robertson, S., Back, N., & Bartlett, J. D. (2015). Explaining match outcome in elite Australian Rules football using team performance indicators. Journal of Sports Sciences, 1–8. doi:10.1080/02640414.2015.1066026
  • Robertson, S., Burnett, A. F., & Gupta, R. (2014). Two tests of approach-iron golf skill and their ability to predict tournament performance. Journal of Sports Sciences, 32, 1341–1349.
  • Robertson, S., Gupta, S., Kremer, P., & Burnett, A. F. (2015). Development and measurement properties of a putting skill test for high-level golf. European Journal of Sport Science, 15, 125–133.
  • Robertson, S. J., Burnett, A. F., Newton, R. U., & Knight, P. W. (2012). Development of the Nine-Ball Skills Test to discriminate elite and high-level amateur golfers. Journal of Sports Sciences, 30, 431–437.
  • Sargent, J., & Bedford, A. (2013). Evaluating Australian football league player contributions using interactive network simulation. Journal of Sports Science & Medicine, 12, 116–121.
  • Stewart, M., Mitchell, H., & Stavros, C. (2007). Moneyball applied: Econometrics and the identification and recruitment of elite Australian footballers. International Journal of Sport Finance, 2, 231–248.
  • Tangalos, C., Robertson, S., Spittle, M., & Gastin, P. B. (2015). Predictors of individual player match performance in junior Australian football. International Journal of Sports Physiology and Performance, 10, 853–859.
  • Tavana, M., Azizi, F., Azizi, F., & Behzadian, M. (2013). A fuzzy inference system with application to player selection and team formation in multi-player sports. Sport Management Review, 16, 97–110.
  • van Ark, M., Docking, S. I., Van Den Akker-Scheek, I., Rudavsky, A., Rio, E., Zwerver, J., & Cook, J. L. (2015). Does the adolescent patellar tendon respond to 5 days of cumulative load during a volleyball tournament?. Scandinavian Journal of Medicine & Science in Sports. doi:10.1111/sms.12426
  • Vaz, L., Van Rooyen, M., & Sampaio, J. (2010). Rugby game-related statistics that discriminate between winning and losing teams in IRB and Super twelve close games. Journal of Sports Science & Medicine, 9, 51–55.
  • Vilar, L., Araújo, D., Davids, K., & Travassos, B. (2012). Constraints on competitive performance of attacker–defender dyads in team sports. Journal of Sports Sciences, 30, 459–469.
  • Yan, J., Højsgaard, S., & Halekoh, U. (2012). Generalised estimating equation package. Geepack version, 1-0.
  • Young, J. A., Symons, C. M., Pain, M. D., Harvey, J. T., Eime, R. M., Craike, M. J., & Payne, W. R. (2015). Role models of Australian female adolescents: A longitudinal study to inform programmes designed to increase physical activity and sport participation. European Physical Education Review, 1–16. doi:10.1177/1356336X15579574
  • Young, W. B., & Pryor, L. (2007). Relationship between pre-season anthropometric and fitness measures and indicators of playing performance in elite junior Australian rules football. Journal of Science and Medicine in Sport, 10, 110–118.
  • Zeger, S. L., Liang, K.-Y., & Albert, P. S. (1988). Models for longitudinal data: A generalized estimating equation approach. Biometrics, 44, 1049–1060.
  • Ziegler, A., & Vens, M. (2010). Generalized estimating equations. Methods of Information in Medicine, 49, 421–425.

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