This study analyses point forecasts of exact scoreline outcomes for football matches in the English Premier League. These forecasts were made for distinct competitions and originally judged differently. We compare these with implied probability forecasts using bookmaker odds and a crowd of tipsters, as well as point and probability forecasts generated from a statistical model. From evaluating these sources and types of forecast, using various methods, we argue that regression encompassing is the most appropriate way to compare point and probability forecasts, and find that both these types of forecasts for football match scorelines generally add information to one another.
|Number of pages||25|
|Journal||Scottish Journal of Political Economy|
|Early online date||24 Oct 2020|
|Publication status||Published - May 2021|
- School of Economics - Associate Professor in Economics
- Applied Econometrics And Finance - Member
Person: Research Group Member, Academic, Teaching & Research