UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60% UNI 1-0 FCS · 57% REN 1-2 MAR · 58% VEN 1-1 FIO · 57% GEN 1-0 FRO · 57% BOR 3-1 SCP · 67% 189 1-1 VFB · 57% SCF 2-1 BOR · 59% FCA 1-2 BAY · 60% FSV 1-1 EIN · 57% CHE 2-0 HUL · 67% LIV 2-1 FUL · 65% AST 2-1 NOT · 62% BOU 1-1 BRE · 57% CRY 1-0 IPS · 60%
Baseball — updated before tip-off

Ten minds.
One consensus.
Zero guessing.

We run every baseball game through multiple frontier AI models, then publish the consensus, the dissent, and the confidence behind it.

10
Models per match
Compared on each fixture
60%
Mean confidence
This page snapshot
22
Correct picks
Tracked in database
Featured pick
Match spotlight
MLB
Home
Philadelphia Phillies
54
Away
Houston Astros
Consensus 7 / 10 models
Confidence
59%
Exp. runs
8.0
Most common
5–4
Open full breakdown
AI forecasts ● Active
Models in rotation —
GPT-5.6 Luna Claude Sonnet 5 Gemini 3.8 Flash Grok 4.6 DeepSeek V4 Pro Qwen 3.8 Max Mistral Medium 3.5 Kimi K3 GLM 5.3 MiMo V2.5 Pro
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— The method

No black box. Just receipts.

Every model gets the same game and context. We log their answers, score them after the final buzzer, and publish the leaderboard.

  1. 01

    Game in

    Form, schedule, expected runs, and game context are loaded into a structured prompt for every model.

  2. 02

    Parallel predictions

    Each active model forecasts scoreline, outcome, and confidence independently before kickoff.

  3. 03

    Consensus + dissent

    We surface the majority pick, confidence bands, and where models disagree.

  4. 04

    Score & publish

    After full-time, picks are marked against the result and the public leaderboard updates.

— AI board

Who’s actually right?

To date · 35 fixtures

# Model Hit rate Brier Last 10 matches
01 MiMo V2.5 Pro
24/35 decided
69% 0.51
02 GLM 5.3
23/35 decided
66% 0.50
03 Gemini 3.8 Flash
23/35 decided
66% 0.50
04 Mistral Medium 3.5
22/35 decided
63% 0.53
05 DeepSeek V4 Pro
22/35 decided
63% 0.54
06 Claude Sonnet 5
21/35 decided
60% 0.54
07 Qwen 3.8 Max
21/35 decided
60% 0.54
08 GPT-5.6 Luna
21/35 decided
60% 0.55
09 Grok 4.6
21/35 decided
60% 0.55
10 Kimi K3
21/35 decided
60% 0.55
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Tomorrow’s matches, tonight in your pocket.

Push alerts when predictions refresh. Confidence bands and model disagreement — without clutter.

— Journal

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