Forecasting exact scores in National Football League games
Baker, RD and McHale, IG 2013, 'Forecasting exact scores in National Football League games' , International Journal of Forecasting, 29 (1) , pp. 122-130. (In Press)
Restricted to Repository staff only
The paper presents a point process model for predicting exact end-of-match scores in the premier league of American football, the National Football League. The hazards of scoring are allowed to vary with team statistics from previous games and/or the bookmaker point spread and over-under. The model is used to generate out-of-sample forecasts, which are evaluated using several criteria, including a Kelly betting strategy. In predicting the results of games, the model is marginally outperformed by the betting market. However, when it is used to forecast exact scores, the model proves to do at least as well as the market.
|Additional Information:||07/11/2012 RoMEO green journal|
|Uncontrolled Keywords:||Sports,Predictions, Point processes|
|Themes:||Subjects outside of the University Themes|
|Schools:||Colleges and Schools > College of Arts & Social Sciences|
?? sch_sbs ??
|Journal or Publication Title:||International Journal of Forecasting|
|Funders:||Non funded research|
|Depositing User:||Dr Ian G. McHale|
|Date Deposited:||07 Nov 2012 15:41|
|Last Modified:||07 Nov 2012 15:41|
Document DownloadsMore statistics for this item...
Actions (login required)
|Edit record (repository staff only)|