Dynamic prediction of Australian Rules football using real time performance statistics

[1]  Stephen R. Clarke Dynamic Programming in One-Day Cricket-Optimal Scoring Rates , 1988 .

[2]  G. A. Agnew,et al.  Crowd effects and the home advantage. , 1994 .

[3]  Stephen R. Clarke,et al.  Dynamic programming in cricket: choosing a night watchman , 2003, J. Oper. Res. Soc..

[4]  G. Ridder,et al.  Down to Ten: Estimating the Effect of a Red Card in Soccer , 1994 .

[5]  R. Bellman,et al.  Dynamic Programming and Markovian Decision Processes with Application to Baseball , 1977 .

[6]  Andrew C. Thomas The Impact of Puck Possession and Location on Ice Hockey Strategy , 2006 .

[7]  Jess S. Boronico,et al.  Play calling strategy in American football: a game-theoretic stochastic dynamic programming approach. , 1999 .

[8]  Ronald A. Howard,et al.  Dynamic Programming and Markov Processes , 1960 .

[9]  Stephen R. Clarke,et al.  Predictions and home advantage for Australian rules football , 1992 .

[10]  José Luis Palacios,et al.  A Markov Chain Approach to Baseball , 1997, Oper. Res..

[11]  M. Maher Modelling association football scores , 1982 .

[12]  M. Lewis,et al.  Moneyball: The Art of Winning an Unfair Game , 2003 .

[13]  T. Reilly Motion analysis and physiological demands , 2003 .

[14]  Ruud H. Koning,et al.  A simulation model for football championships , 2003, Eur. J. Oper. Res..

[15]  C. Reep,et al.  Skill and Chance in Association Football , 1968 .

[16]  Alan J. Lee Modeling Scores in the Premier League: Is Manchester United Really the Best? , 1997 .

[17]  John M. Norman,et al.  Dynamic Programming in Orienteering: Route Choice and the Siting of Controls , 1984 .

[18]  David Dyte,et al.  A ratings based Poisson model for World Cup soccer simulation , 2000, J. Oper. Res. Soc..

[19]  S. C. Chapman,et al.  Football goal distributions and extremal statistics , 2002 .

[20]  Mike Baxter,et al.  Discriminating between the Poisson and negative binomial distributions:an application to goal scoring in association football , 1988 .

[21]  M. Moroney,et al.  Facts in figures , 1952 .

[22]  D. Harville Predictions for National Football League Games via Linear-Model Methodology , 1980 .

[23]  Mark J. Dixon,et al.  A birth process model for association football matches , 1998 .

[24]  D. Karlis,et al.  Analysis of sports data by using bivariate Poisson models , 2003 .

[25]  Stephen Dobson,et al.  Persistence in sequences of football match results: A Monte Carlo analysis , 2003, Eur. J. Oper. Res..

[26]  R. Pollard 69.9 Goal-scoring and the negative binomial distribution , 1985, The Mathematical Gazette.

[27]  Stephen R. Clarke,et al.  AFL football: how much is skill and how much is chance? , 2006 .

[28]  Stephen R. Clarke,et al.  Computer Forecasting of Australian Rules Football for a Daily Newspaper , 1993 .

[29]  Applications: Modelling rugby league data viabivariate negative binomial regression , 1999 .

[30]  R. Allan Freeze,et al.  An Analysis of Baseball Batting Order by Monte Carlo Simulation , 1974, Oper. Res..

[31]  John M. Norman,et al.  Dynamic Programming in Tennis—When to Use a Fast Serve , 1985 .

[32]  Stephen R. Clarke,et al.  Deriving a profit from Australian rules football: a statistical approach , 2004 .

[33]  C. A. Moser,et al.  Facts from Figures. , 1953 .

[34]  Paul J Bracewell Quantification of individual rugby player performance through multivariate analysis and data mining : a thesis presented for the fulfilment of the requirements for the degree of Doctor of Philosophy at Massey University, Albany, New Zealand , 2003 .

[35]  John S. Croucher Player ratings in one-day cricket , 2000 .

[36]  J. Doob Stochastic processes , 1953 .

[37]  Stephen R. Clarke,et al.  Protecting a weak batsman from taking strike at the start of a new over: a simple dynamic programming model in cricket , 1995 .

[38]  Stephen R. Clarke,et al.  When to rush a ‘behind’ in Australian rules football: a dynamic programming approach , 1998, J. Oper. Res. Soc..

[39]  Sam Glasson,et al.  Simulation of women's beach volleyball tournaments , 2001 .

[40]  Shaul P. Ladany,et al.  Management science in sports , 1978 .

[41]  R. Bellman,et al.  Dynamic Programming and Markov Processes , 1960 .

[42]  Mike Wright,et al.  in association football by using a Markov process model , 2003 .

[43]  Stephen R. Clarke,et al.  A seven state Markov process for modelling Australian rules football , 2004 .

[44]  S. Coles,et al.  Modelling Association Football Scores and Inefficiencies in the Football Betting Market , 1997 .

[45]  C. Reep,et al.  Skill and Chance in Ball Games , 1971 .