The Champion Data model is built upon player values and forecasts injury probabilities to take into account the values of replacement players.
Forecasting injuries would be nearly impossible. In a lot of instances, there would be a correlation across the team so it isn't enough to say "an average of x games are missed through injury per team" and then allocate it across the lists.
So much guess work involved surely makes it counterproductive other than sounding good?





