Compare actual scores with estimated probabilities in MLS. MLS combines long travel, a specific calendar and large contextual swings, which means probabilities should be judged methodically. The goal is to separate a merely likely scenario from a historically robust one.
Data updated on
MLS combines long travel, a specific calendar and large contextual swings, which means probabilities should be judged methodically.
This page tracks AI prediction results in MLS by comparing published probabilities with actual football scores. The value lies in showing how a probabilistic reading survives contact with real match outcomes: success rate, league context, open scenarios and solid favorites. A high percentage only becomes useful when it stays coherent over a large set of comparable fixtures.