Table 1.
Information on the data set used within this study.
Fig 1.
The forecasting methods and statistical framework as used within this study and largely obtained from Hvattum and Arntzen.
Fig 2.
Average informational loss for various choices of the parameter k in model ELO-Result.
Fig 3.
Average informational loss for various choices of the parameters k and lambda in model ELO-Goals.
Fig 4.
Average informational loss for various choices of the parameter k in model ELO-Odds.
Table 2.
Comparison of informational loss for different models and various parameters.
Table 3.
Statistical tests comparing the predictive qualities of different forecasting methods.
The p-value compares each model to the model in the next row.
Table 4.
Statistical tests comparing the predictive qualities of ELO-Odds (various extreme parameters) to ELO-Goals.
The p-value compares each model to ELO-Goals.
Fig 5.
ELO-Odds and ELO-Result of Borussia Dortmund within the seasons 2013/14 and 2014/15.
Fig 6.
ELO-Odds and ELO-Result of Leicester City within the seasons 2014/15 and 2015/16.
Table 5.
Comparison between league table and average ELO-Odds rating (Primera Division 2013/14).
Fig 7.
Simplified illustration of the database as a network of teams (nodes) and matches (edges).