A penalty criterion for score forecasting in soccer
classification
📊 stat.AP
keywords
penaltycriterionforecastforecastingscorescoressocceractual
read the original abstract
This note proposes a penalty criterion for assessing correct score forecasting in a soccer match. The penalty is based on hierarchical priorities for such a forecast i.e., i) Win, Draw and Loss exact prediction and ii) normalized Euclidian distance between actual and forecast scores. The procedure is illustrated on typical scores, and different alternatives on the penalty components are discussed.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.