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CHI
37Live4:51 - 3rd
GS
36Updated 11:18 PM ET
4:51 - 3RD+1CHI
CHI
1-0
3736
GS
2-0
Live momentum · cumulative diff
Q3away leadsGS leads
Key moments · live
newest firstEnsemble breakdown
Model ensemble · how the prediction is built
3 sub-models, blended.
Each sub-model uses a different rating substrate. Bayesian model averaging weights them by rolling Brier score so the ensemble inherits each model's strengths. Disagreement flags games where the sub-models don't see eye-to-eye — lower confidence, wider band.
50.0%
ensemble · GS favored
Elo Static
fallback · inputs missing
50.0%
P(GS win)
33%
weight
Elo Recent
fallback · inputs missing
50.0%
P(GS win)
33%
weight
Pace Efficiency
fallback · inputs missing
50.0%
P(GS win)
33%
weight
Disagreement
0.00 pp
weighted σ across sub-models
Confidence
100% · high
maps from disagreement
Substrate count
0 / 3 active
ones with full inputs tonight
Weights are recalibrated nightly on a 90-day rolling window with strict point-in-time correctness — no model gets credit for a game it hasn't seen
