Ten minds.
One consensus.
Zero guessing.
We run every fixture through multiple frontier AI models, then publish the consensus, the dissent, and the confidence behind it.
No black box. Just receipts.
Every model gets the same fixture and context. We log their answers, score them after kickoff, and publish the leaderboard.
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01
Fixture in
Form, schedule, expected goals, and match context are loaded into a structured prompt for every model.
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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 · 150 fixtures
| # | Model | Hit rate | Brier | Last 10 matches |
|---|---|---|---|---|
| 01 |
Claude Sonnet (Latest)
70/150 decided
|
47% | 0.62 |
|
| 02 |
Grok 4.3
70/150 decided
|
47% | 0.67 |
|
| 03 |
Mistral Large 2512
70/150 decided
|
47% | 0.67 |
|
| 04 |
Qwen 2.5 72B Instruct
69/150 decided
|
46% | 0.67 |
|
| 05 |
Llama 3.1 70B Instruct
68/150 decided
|
45% | 0.67 |
|
| 06 |
Gemini 3.1 Pro Preview
67/149 decided
|
45% | 0.67 |
|
| 07 |
MiMo V2.5 Pro
64/150 decided
|
43% | 0.69 |
|
| 08 |
DeepSeek Chat (V3)
62/150 decided
|
41% | 0.72 |
|
| 09 |
Cohere Command R+ (08-2024)
60/150 decided
|
40% | 0.71 |
|
| 10 |
GPT-4o
59/150 decided
|
39% | 0.75 |
|
Tomorrow’s matches, tonight in your pocket.
Push alerts when predictions refresh. Confidence bands and model disagreement — without clutter.
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