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Does the Kalman model not work well when you have players with multiple matches at the same time period? I'm struggling to get any sensible ratings/predictions from the Kalman model after trying many different parameter combos. I had no trouble with Glicko on the same dataset.
The text was updated successfully, but these errors were encountered:
Here I compare Glicko and ExKF on 1000 simulated match results over 10 players (~200 matches per player) all at the same time. Importantly I used the static parameters from the WTA tennis training.
The results look remarkably similar for Glicko and ExKF:
Final posterior skills:
Match predictions based on final posterior skills:
Does the Kalman model not work well when you have players with multiple matches at the same time period? I'm struggling to get any sensible ratings/predictions from the Kalman model after trying many different parameter combos. I had no trouble with Glicko on the same dataset.
The text was updated successfully, but these errors were encountered: