This model predicts Brownlow Medal votes using match statistics from 1999–2025. It's a linear regression that learns how umpires weight different contributions—goals, clearances, disposals, tackles—when awarding votes.
The model explains about 40% of voting variance, which is reasonable given the inherent subjectivity: two umpires watching the same game often disagree.
Use Vote Drivers to see which stats matter most, or try the Vote Predictor to simulate how different performances would poll.