UNI 1-0 FCS · 56% REN 1-2 MAR · 57% VEN 1-1 FIO · 56% 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 · 56% REN 1-2 MAR · 57% VEN 1-1 FIO · 56% 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%
Matchday — updated before kickoff

Ten minds.
One consensus.
Zero guessing.

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

10
Models per match
Compared on each fixture
63%
Mean confidence
This page snapshot
245
Correct picks
Tracked in database
Featured pick
Match spotlight
La Liga
Home
Atletico Madrid
10
Away
Osasuna
Consensus 10 / 10 models
Confidence
63%
Exp. goals
1.4
Most common
1–0
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 Llama 3.1 70B Instruct Cohere Command R+ (08-2024) MiMo V2.5 Pro
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— The method

No black box. Just receipts.

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

  1. 01

    Match in

    Form, schedule, expected goals, and match 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 · 516 fixtures

# Model Hit rate Brier Last 10 matches
01 Claude Sonnet 5
279/516 decided
54% 0.59
02 Qwen 3.8 Max
265/516 decided
51% 0.64
03 Mistral Medium 3.5
264/516 decided
51% 0.64
04 Grok 4.6
261/516 decided
51% 0.62
05 Gemini 3.8 Flash
260/515 decided
51% 0.63
06 DeepSeek V4 Pro
256/516 decided
50% 0.65
07 MiMo V2.5 Pro
250/516 decided
48% 0.65
08 GPT-5.6 Luna
238/516 decided
46% 0.69
09 GLM 5.3
0/0 decided
0%
10 Kimi K3
0/0 decided
0%
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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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