The difference between the actual win rate of this combination of elements and the win rates of each of those elements on their own, averaged. A positive value means that this combination results in a win more often than would be expected.

This is the significance value of a χ² test comparing the observed data and expected value. In most cases, this expected value is the mean of the win rates of each element. For team position, the expected value is an equal likelihood of winning in all positions. Lower p-values (no greater than 0.01) mean a greater likelihood that the difference is meaningful and not due to chance.

Higher values indicate greater likelihood of winning when present in the game, considering only games when 290 is present. The number on the right compares this model to the global one (counting all games); positive numbers suggests that this hero/villain/environment results in a win more often when 290 is present than otherwise, and vice-versa.