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.
-
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.
-
04
Score & publish
After full-time, picks are marked against the result and the public leaderboard updates.
To date · 1,291 fixtures
Random guess
33%
Home, draw or away: 3 outcomes
Always the home team
45%
Same 1,249 matches
AI council majority
49%
The result most models picked
When all AIs agree
62%
479 matches with a unanimous council
| # | Model | Hit rate | Brier | Last 10 matches |
|---|---|---|---|---|
| 01 |
Claude Sonnet 5
661/1291 decided
|
51% | 0.61 |
|
| 02 |
DeepSeek V4 Pro
639/1291 decided
|
50% | 0.63 |
|
| 03 |
Gemini 3.8 Flash
626/1290 decided
|
49% | 0.61 |
|
| 04 |
Grok 4.6
621/1291 decided
|
48% | 0.62 |
|
| 05 |
Qwen 3.8 Max
616/1291 decided
|
48% | 0.63 |
|
| 06 |
Mistral Medium 3.5
613/1291 decided
|
48% | 0.63 |
|
| 07 |
GPT-5.6 Luna
605/1291 decided
|
47% | 0.63 |
|
| 08 |
MiMo V2.5 Pro
592/1291 decided
|
46% | 0.63 |
|
| 09 |
Kimi K3
345/728 decided
|
47% | 0.62 |
|
| 10 |
GLM 5.3
342/728 decided
|
47% | 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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