Issues in Sports Forecasting

[1]  EFFICIENCY IN BETTING MARKETS: EVIDENCE FROM ENGLISH FOOTBALL , 2012 .

[2]  M. Raymond What's my line? , 2009, RN.

[3]  Leighton Vaughan Williams Information Efficiency in Financial and Betting Markets , 2009 .

[4]  William T. Ziemba,et al.  Efficiency of Racetrack Betting Markets , 2008 .

[5]  I. Graham,et al.  Predicting bookmaker odds and efficiency for UK football , 2008 .

[6]  STILL SEARCHING FOR POSITIVE RETURNS AT THE TRACK: EMPIRICAL RESULTS FROM 2,000 HONG KONG RACES , 2008 .

[7]  Victor S. Y. Lo Application of Logit Models in Racetrack Data , 2008 .

[8]  Ian G. McHale,et al.  Anyone for Tennis (Betting)? , 2007 .

[9]  Herman Stekler,et al.  The comparative accuracy of judgmental and model forecasts of American football games , 2007 .

[10]  Babatunde Buraimo,et al.  Outcome uncertainty and the couch potato audience , 2005 .

[11]  R. Sauer The state of research on markets for sports betting and suggested future directions , 2005 .

[12]  S. Shmanske Odds-setting efficiency in gambling markets: Evidence from the PGA TOUR , 2005 .

[13]  Robert Simmons,et al.  Odds setters as forecasters: the case of English football , 2005 .

[14]  Patric Andersson,et al.  Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts☆ , 2005 .

[15]  John Goddard,et al.  Regression models for forecasting goals and match results in association football , 2005 .

[16]  Douglas H. Owens,et al.  Determinants of betting market efficiency , 2005 .

[17]  Robert M. Pavlik,et al.  In search of the source of informed trader information in the college football betting market , 2005 .

[18]  A. Weinbach,et al.  Market efficiency and NCAA college basketball gambling , 2005 .

[19]  Mark J. Dixon,et al.  The value of statistical forecasts in the UK association football betting market , 2004 .

[20]  William H. Dare,et al.  Efficiency in the NFL betting market: modifying and consolidating research methods , 2004 .

[21]  John Goddard,et al.  Forecasting football results and the efficiency of fixed‐odds betting , 2004 .

[22]  Theodore L. Turocy Offensive performance, omitted variables, and the value of speed in baseball , 2005 .

[23]  Stefan Szymanski,et al.  The Economic Design of Sporting Contests , 2003 .

[24]  Steven B. Caudill,et al.  Predicting discrete outcomes with the maximum score estimator: the case of the NCAA men's basketball tournament , 2003 .

[25]  H. Stekler,et al.  P redicting the outcomes of National Football League games , 2003 .

[26]  D. Harville,et al.  The Selection or Seeding of College Basketball or Football Teams for Postseason Competition , 2003 .

[27]  Steven B. Caudill,et al.  Heterogeneous skewness in binary choice models: Predicting outcomes in the men's NCAA basketball tournament , 2002 .

[28]  William H. Dare,et al.  Re-examining the betting market on Major League Baseball games: is there a reverse favourite-longshot bias? , 2002 .

[29]  Mark J. Dixon,et al.  Dynamic modelling and prediction of English Football League matches for betting , 2002 .

[30]  Roger C. Vergin,et al.  Overreaction in the NFL point spread market , 2001 .

[31]  Edward H. Kaplan,et al.  March Madness and the Office Pool , 2001, Manag. Sci..

[32]  Tim Kuypers,et al.  Information and efficiency: an empirical study of a fixed odds betting market , 2000 .

[33]  Håvard Rue,et al.  Prediction and retrospective analysis of soccer matches in a league , 2000 .

[34]  Robert Simmons,et al.  Forecasting sport: the behaviour and performance of football tipsters , 2000 .

[35]  J. Gandar,et al.  The Search for Informed Traders in the Totals Betting Market for National Basketball Association Games , 2000 .

[36]  John Ruggiero,et al.  Performance evaluation of National Football League teams , 2000 .

[37]  David Law,et al.  The Favourite-Longshot Bias and Market Efficiency in UK Football Betting , 2000 .

[38]  R. Ward,et al.  Team performance: the case of English Premiership football , 2000 .

[39]  W. Mallios The Analysis of Sports Forecasting: Modeling Parallels between Sports Gambling and Financial Markets , 1999 .

[40]  David J. Berri,et al.  Who is 'most valuable'? Measuring the player's production of wins in the National Basketball Association , 1999 .

[41]  Judith A. Chevalier,et al.  Identifying Investor Sentiment from Price Paths: The Case of Football Betting , 1999 .

[42]  Bill M. Woodland,et al.  Expected utility, skewness, and the baseball betting market , 1999 .

[43]  Herman Stekler,et al.  Are sports seedings good predictors?: an evaluation , 1999 .

[44]  Leighton Vaughan Williams,et al.  Information Efficiency in Betting Markets: A Survey , 1999 .

[45]  Why are some favourite-longshot biases positive and others negative? , 1998 .

[46]  Mark E. GLICKMAN,et al.  A State-Space Model for National Football League Scores , 1998 .

[47]  J. Gandar,et al.  Informed Traders and Price Variations in the Betting Market for Professional Basketball Games , 1998 .

[48]  Raymond D. Sauer,et al.  The Economics of Wagering Markets , 1998 .

[49]  Stephen Gray,et al.  Testing market efficiency: Evidence from the NFL sports betting market , 1997 .

[50]  I. Horowitz Pythagoras's Petulant Persecutors , 1997 .

[51]  S. Knowles,et al.  A Note on the Pythagorean Theorem of Baseball Production , 1997 .

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

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

[54]  Frederick Mosteller,et al.  Modeling Pitcher Performance and the Distribution of Runs per Inning in Major League Baseball , 1996 .

[55]  William H. Dare,et al.  A generalized model for testing the home and favorite team advantage in point spread markets , 1996 .

[56]  Bradley P. Carlin Improved NCAA Basketball Tournament Modeling via Point Spread and Team Strength Information , 1996 .

[57]  Serial correlation in the wagering market for professional basketball. , 1995 .

[58]  J. Dana,et al.  Learning and Efficiency in a Gambling Market , 1994 .

[59]  David J. Smyth,et al.  Major League Baseball Division Standings, Sports Journalists' Predictions and Player Salaries , 1994 .

[60]  Linda M. Woodland,et al.  Market Efficiency and the Favorite‐Longshot Bias: The Baseball Betting Market , 1994 .

[61]  David A. Harville,et al.  The Home-Court Advantage: How Large is it, and Does it Vary from Team to Team? , 1994 .

[62]  W. F. Benter Computer-Based Horse Race Handicapping and Wagering Systems , 2008 .

[63]  Daniel Barry,et al.  Choice models for predicting divisional winners in major league baseball , 1993 .

[64]  R. Sauer,et al.  Fundamentals or Noise? Evidence from the Professional Basketball Betting Market , 1993 .

[65]  William O. Brown,et al.  Does the Basketball Market Believe in the Hot Hand? Comment , 1993 .

[66]  Maurry Tamarkin,et al.  The degree of inefficiency in the football betting market: Statistical tests , 1991 .

[67]  N. C. Schwertman,et al.  More Probability Models for the NCAA Regional Basketball Tournaments , 1991 .

[68]  M. Tamarkin,et al.  The degree of inefficiencyin the football betting market , 1991 .

[69]  Colin Camerer Does the Basketball Market Believe in the 'Hot Hand'? , 1989 .

[70]  D. Peel,et al.  Information, Prices and Efficiency in a Fixed-Odds Betting Market , 1989 .

[71]  Raymond D. Sauer,et al.  Hold Your Bets: Another Look at the Efficiency of the Gambling Market for National Football League Games , 1988, Journal of Political Economy.

[72]  K. Busche,et al.  An Exception to the Risk Preference Anomaly , 1988 .

[73]  Michael McCrae,et al.  Tests of the efficiency of racetrack betting using bookmaker odds , 1987 .

[74]  N BoltonRuth,et al.  Searching for Positive Returns at the Track , 1986 .

[75]  Ruth N. Bolton,et al.  Searching for positive returns at the track: a multinomial logic model for handicapping horse races , 1986 .

[76]  R. Quandt Betting and Equilibrium , 1986 .

[77]  N. Crafts,et al.  Some Evidence of Insider Knowledge in Horse Race Betting in Britain , 1985 .

[78]  J. Gandar,et al.  Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games , 1985, Journal of Political Economy.

[79]  Jay M. Bennett,et al.  An Evaluation of Major League Baseball Offensive Performance Models , 1983 .

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

[81]  Gerald W. Scully,et al.  Measuring Managerial Efficiency: The Case of Baseball , 1982 .

[82]  A. Tversky,et al.  Intuitive Prediction: Biases and Corrective Procedures , 1982 .

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

[84]  Stephen Figlewski Subjective Information and Market Efficiency in a Betting Market , 1979, Journal of Political Economy.

[85]  John J. Siegfried,et al.  Production Efficiency: The Case of Professional Basketball , 1979 .

[86]  W. W. Snyder,et al.  HORSE RACING: TESTING THE EFFICIENT MARKETS MODEL , 1978 .

[87]  Roger C. Vergin,et al.  Winning Strategies for Wagering on National Football League Games , 1978 .

[88]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[89]  L. D. Pankoff,et al.  Market Efficiency and Football Betting , 1968 .