Public model evidence
Model Leaderboard
Compare verified public model versions. Choose a market and the evidence that should determine rank.
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Brier score leaderboard
Probability accuracy. It measures the squared distance between each forecast probability and the result. Lower is better; 0 is perfect.
Observed leader
MLB Win the Game 2
Public tracking active
0.2414
Quick read: The leader has the lowest observed probability error in this view. Brier score does not measure betting profit. Ranks 1 and 2 have overlapping 95% intervals; their order is not clearly separated.
- 0.2414
Brier score
Best observed
- Metric sample
- 320 eligible · 30 required
- Graded sample
- 320 graded · 30 required
- Period
- Oct 2, 2026 – Sep 30, 2026
- Uncertainty
- 95% CI 0.2305 to 0.2551
Open permanent version evidence →Latest eligible public forecast Sep 30, 2026
2 pending · 0 excluded total · 0 voided · 0 invalidated · 0 corrected
- 0.2478
Brier score
0.0064 from leader
- Metric sample
- 292 eligible · 30 required
- Graded sample
- 292 graded · 30 required
- Period
- Oct 9, 2026 – Sep 23, 2026
- Uncertainty
- 95% CI 0.2349 to 0.2627
Open permanent version evidence →Latest eligible public forecast Sep 23, 2026
2 pending · 0 excluded total · 0 voided · 0 invalidated · 0 corrected
- 0.2443
Brier score
Not ranked
- Metric sample
- 24 eligible · 6 short of 30
- Graded sample
- 24 graded · 6 short of 30
- Period
- Sep 18, 2026 – Sep 18, 2026
- Uncertainty
- 95% CI 0.2443 to 0.2443
Open permanent version evidence →Latest eligible public forecast Sep 18, 2026
0 pending · 0 excluded total · 0 voided · 0 invalidated · 0 corrected
Sorted by Brier score (lower is better). Gaps are differences between observed point estimates, not proof that models are meaningfully separated. Equal displayed values share a visible rank; canonical ordering still uses full precision, then eligible sample size, then stable identity. “Establishing” versions remain visible but are not ranked.
Method, sample rules, and exclusions
Rank is the beginning of the question
Compare sample, period, uncertainty, and evidence—not only position. Then test a model whose assumptions you can inspect.