Player Profiling

Once we we generate the player profile data values we combine them in a ratio of executions per attempts in each category, and then "weight" the results thereby generating an overall "rating" based on our "lead indicators." Similar to an "ELO" score this rating measures a comparative tendency to contribute to the lead indicators of "winning."

We are presently refining our modeling to do variable regressions to improve the predictive value of these weighted metrics. In this way we go well beyond player profiling and "probabilities" modeling based on "Earned Goals" or "Earned Assists" and are first movers in predictive modeling!