Factors associated with early career progression in professional Australian Football players

References

• Australian Football League & Australian Football League Players’ Association Incorporated. (2012). Collective bargaining agreement. Australian Football League.
   Google Scholar
• Bilsborough, J., Kempton, T., Greenway, K., Cordy, J., & Coutts, A. (2016). Longitudinal changes and seasonal variation in body composition in professional Australian Football players. International Journal of Sports Physiology & Performance. doi:10.1123/ijspp.2014-0447
   Web of Science ®Google Scholar
• Boulier, B. L., Stekler, H. O., Coburn, J., & Rankins, T. (2010). Evaluating national football league draft choices: The passing game. International Journal of Forecasting, 26(3), 589–605.
   Web of Science ®Google Scholar
• Burgess, D., & Naughton, G. (2010). Talent development in adolescent team sports: A review. International Journal of Sports Physiology & Performance, 5(1), 103–116.
   PubMed Web of Science ®Google Scholar
• Burgess, D., Naughton, G., & Hopkins, W. (2012). Draft-camp predictors of subsequent career success in the Australian Football League. Journal of Science and Medicine in Sport, 15(6), 561–567.
   PubMed Web of Science ®Google Scholar
• 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.
   Web of Science ®Google Scholar
• Cobley, S., Baker, J., Wattie, N., & McKenna, J. (2009). Annual age-grouping and athlete development. Sports Medicine, 39(3), 235–256.
   PubMed Web of Science ®Google Scholar
• Coutts, A. J., Kempton, T., & Vaeyens, R. (2014). Relative age effects in Australian Football League national draftees. Journal of Sports Sciences, 32(7), 623–628.
   PubMed Web of Science ®Google Scholar
• Elferink-Gemser, M., Visscher, C., Lemmink, K., & Mulder, T. (2004). Relation between multidimensional performance characteristics and level of performance in talented youth field hockey players. Journal of Sports Sciences, 22(11–12), 1053–1063.
   PubMed Web of Science ®Google Scholar
• Field, A., Miles, J., & Field, Z. (2012). Discovering Statistics Using R. London: Sage.
   Google Scholar
• Gabbett, T. J. (2014). Effects of physical, technical, and tactical factors on final ladder position in semiprofessional rugby league. International Journal of Sports Physiology & Performance, 9(4). doi:10.1123/ijspp.2013-0253
   Web of Science ®Google Scholar
• Hosmer, D. W., & Lemeshow, S. (1989). Applied regression analysis. New York: John Willey.
   Google Scholar
• McCarthy, N., & Collins, D. (2014). Initial identification & selection bias versus the eventual confirmation of talent: Evidence for the benefits of a rocky road? Journal of Sports Sciences, 32(17), 1604–1610.
   PubMed Web of Science ®Google Scholar
• Menard, S. (2002). Applied logistic regression analysis (Vol. 106). Thousand Oaks, CA: Sage Publications.
   Google Scholar
• Noblet, A., Rodwell, J., & McWilliams, J. (2003). Predictors of the strain experienced by professional Australian footballers. Journal of Applied Sport Psychology, 15(2), 184–193.
   Web of Science ®Google Scholar
• Robertson, S., Woods, C., & Gastin, P. (2014). Predicting higher selection in elite junior Australian rules football: The influence of physical performance and anthropometric attributes. Journal of Science and Medicine in Sport, 18(5), 601-606.
   PubMed Web of Science ®Google Scholar
• Rogalski, B., Dawson, B., Heasman, J., & Gabbett, T. J. (2013). Training and game loads and injury risk in elite Australian footballers. Journal of Science and Medicine in Sport, 16(6), 499–503.
   PubMed Web of Science ®Google Scholar
• Sierer, S. P., Battaglini, C. L., Mihalik, J. P., Shields, E. W., & Tomasini, N. T. (2008). The National Football League Combine: Performance differences between drafted and nondrafted players entering the 2004 and 2005 drafts. The Journal of Strength & Conditioning Research, 22(1), 6–12.
   PubMed Web of Science ®Google Scholar
• Staw, B. M., & Hoang, H. (1995). Sunk costs in the NBA: Why draft order affects playing time and survival in professional basketball. Administrative Science Quarterly, 40, 474–494.
   Web of Science ®Google Scholar
• Tang, M.-C. (2015). Contract length, expected surplus, and specific investments empirical evidence from the National Football League. Journal of Sports Economics, 16(3), 295–311.
   Web of Science ®Google Scholar
• Till, K., Cobley, S., O’Hara, J., Morley, D., Chapman, C., & Cooke, C. (2015). Retrospective analysis of anthropometric and fitness characteristics associated with long-term career progression in Rugby league. Journal of Science and Medicine in Sport, 18(3), 310–314.
   PubMed Web of Science ®Google Scholar
• Vaeyens, R., Lenoir, M., Williams, A. M., & Philippaerts, R. M. (2008). Talent identification and development programmes in sport: Current models and future directions. Sports Medicine, 38(9), 703–714.
   PubMed Web of Science ®Google Scholar
• Vaeyens, R., Malina, R. M., Janssens, M., Van Renterghem, B., Bourgois, J., Vrijens, J., & Philippaerts, R. M. (2006). A multidisciplinary selection model for youth soccer: The ghent youth soccer project. British Journal of Sports Medicine, 40(11), 928–934.
   PubMed Web of Science ®Google Scholar
• Vaeyens, R., Philippaerts, R., & Malina, R. (2005). The relative age effect in soccer: A match-related perspective. Journal of Sports Sciences, 23(7), 747–756.
   PubMed Web of Science ®Google Scholar
• Woods, C., Joyce, C., & Robertson, S. (2015). What are talent scouts actually identifying? Investigating the physical and technical skill match activity profiles of drafted and non-drafted U18 Australian footballers. Journal of Science and Medicine in Sport, 19(5), 419-423.
   Web of Science ®Google Scholar
• Woods, C., Raynor, A. J., Bruce, L., & McDonald, Z. (2016). Discriminating talent-identified junior Australian football players using a video decision-making task. Journal of Sports Sciences, 34(4), 342–347.
   PubMed Web of Science ®Google Scholar
• Woods, C., Raynor, A. J., Bruce, L., McDonald, Z., & Collier, N. (2015). Predicting playing status in junior Australian Football using physical and anthropometric parameters. Journal of Science and Medicine in Sport, 18(2), 225–229.
   PubMed Web of Science ®Google Scholar
• Woods, C., Raynor, A. J., Bruce, L., McDonald, Z., & Robertson, S. (2016). The application of a multi-dimensional assessment approach to talent identification in Australian football. Journal of Sports Sciences, 34(14), 1340-1345.
   Web of Science ®Google Scholar
• Woods, C., Veale, J., Collier, N., & Robertson, S. (2016). The use of player physical and technical skill match activity profiles to predict position in the Australian Football League draft. Journal of Sports Sciences, 35(4), 325-330.
   Google Scholar