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Table 1.

Information on the data set used within this study.

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Fig 1.

The forecasting methods and statistical framework as used within this study and largely obtained from Hvattum and Arntzen.

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Fig 2.

Average informational loss for various choices of the parameter k in model ELO-Result.

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Fig 3.

Average informational loss for various choices of the parameters k and lambda in model ELO-Goals.

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Fig 4.

Average informational loss for various choices of the parameter k in model ELO-Odds.

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Table 2.

Comparison of informational loss for different models and various parameters.

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Table 2 Expand

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.

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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.

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Fig 5.

ELO-Odds and ELO-Result of Borussia Dortmund within the seasons 2013/14 and 2014/15.

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Fig 6.

ELO-Odds and ELO-Result of Leicester City within the seasons 2014/15 and 2015/16.

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Table 5.

Comparison between league table and average ELO-Odds rating (Primera Division 2013/14).

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Fig 7.

Simplified illustration of the database as a network of teams (nodes) and matches (edges).

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