Category: Correlations
-
Predicting the winter champion in the Eredivisie
Here is a challenge: predict the number of points teams will have in the first half of the season the moment the transfermarkt closes. Here is the catch: you are only allowed to use statistics of individual players. No team statistics like wins, goals scored, goals conceded or historical team records are allowed. The reason…
-
Very strong correlation between FBM team score and team value
Yesterday, we already showed the high correlation between FBM team score and the league ranking (80%) without using any team statistics like team wins, team goals scored etc. Today, we show you an even higher correlation (88%) between FBM team score and team value according to TransferMarkt.
-
Very strong correlation between average FBM team score and league rank
There is an 80% correlation between FBM team score and the rank a team has in their league. That is a very high correlation. But it would not be impressive if FBM team score would be calculated with team results as one of the inputs.
-
Strong correlation between FBM score and red cards
At FBM we divide players into four categories, namely: Excellent players, who have a FBM score of 8 or higher. Good players who have a FBM score between 5.5 and 8. Average players who have a FBM score between 2 and 5.5. Bad players who have a FBM score of below 2. Our assumption is…