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.
No upcoming football games yet.
Forecasts appear here as soon as the next games are ingested and predicted.
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.
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01
Match in
Form, schedule, expected goals, and match context are loaded into a structured prompt for every model.
-
02
Parallel predictions
Each active model forecasts scoreline, outcome, and confidence independently before kickoff.
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03
Consensus + dissent
We surface the majority pick, confidence bands, and where models disagree.
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04
Score & publish
After full-time, picks are marked against the result and the public leaderboard updates.
Who’s actually right?
To date · 866 fixtures
| # | Model | Hit rate | Brier | Last 10 matches |
|---|---|---|---|---|
| 01 |
Claude Sonnet 5
450/866 decided
|
52% | 0.61 |
|
| 02 |
DeepSeek V4 Pro
428/866 decided
|
49% | 0.64 |
|
| 03 |
Mistral Medium 3.5
422/866 decided
|
49% | 0.64 |
|
| 04 |
Qwen 3.8 Max
418/866 decided
|
48% | 0.64 |
|
| 05 |
Grok 4.6
415/866 decided
|
48% | 0.63 |
|
| 06 |
Gemini 3.8 Flash
414/865 decided
|
48% | 0.63 |
|
| 07 |
MiMo V2.5 Pro
397/866 decided
|
46% | 0.65 |
|
| 08 |
GPT-5.6 Luna
396/866 decided
|
46% | 0.67 |
|
| 09 |
Kimi K3
154/322 decided
|
48% | 0.63 |
|
| 10 |
GLM 5.3
146/322 decided
|
45% | 0.63 |
|
Tomorrow’s matches, tonight in your pocket.
Push alerts when predictions refresh. Confidence bands and model disagreement — without clutter.
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