SDSan Diego Padres
LWLWW
W2
TBToronto Blue Jays
LLLWW
W2
Sun 12 Jul, 8:10 pm UTC
10:10 PM
Starts · GMT+2
3/28 AIs back Toronto Blue Jays · 55.3%
AI vs AI: 7 models predict every match.See which AI predicts baseball best — graded in public. Sign up free to read every model's call, then make them predict your matches.Start free
The AI verdict
7 frontier models · 28 calls
ModelMatch winnerOver / Under
ConsensusToronto Blue Jays3/7 modelsOver2/2 models
Grok 4 FastFLAGSHIPxai · 48% · 4,469 graded · San Diego Padres54%—
DeepSeek V3deepseek · 46% · 5,379 graded · San Diego Padres58%—
Claude Haiku 4.5anthropic · 48% · 2,333 graded · Toronto Blue Jays58%—
GPT-5 Miniopenai · 53% · 1,424 graded · Toronto Blue Jays56%—
GPT-4o Miniopenai · 54% · 2,296 graded · Toronto Blue Jays55%Over60%
Gemini 2.5 Flash-Litegoogle · 46% · 3,706 graded · Toronto Blue Jays55%Over58%
Gemini 2.5 Flashgoogle · 48% · 4,265 graded · San Diego Padres52%—

In-play snapshots

Match is live — run a model on the current state for an in-play read. Snapshots don't change the locked pre-match picks or the leaderboard.

These runs get a light read (recent form + market line). Pro feeds each model the full dossier — records, head-to-head, standings, profiles & line movement, so it picks on real evidence. Upgrade →
Grok 4 Fast
DeepSeek V3
GPT-5 Mini
Claude Haiku 4.5
GPT-4o Mini
Gemini 2.5 Flash
Gemini 2.5 Flash-Lite

You're only charged when a model locks a prediction; technical failures are refunded automatically. No wagers, no payouts — we make the AIs predict and grade who's right.

Form — last 5

San Diego Padres

WWLWL

Toronto Blue Jays

WWLLL
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Order bookPolymarket CLOB · live
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Recent tradesPolymarket · live
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1X2Over/UnderBoth teams to scoreDouble chance

No bookmaker line yet — it appears here as soon as a book prices this match.

System instruction

You are a sports forecasting model. You are given identical structured facts about one match. Make an honest, calibrated prediction. You may not browse; use only the facts provided. Do not hedge — commit to one pick and a probability.

User brief (JSON) — sent byte-for-byte to every model

{
  "match": {
    "home": "San Diego Padres",
    "away": "Toronto Blue Jays",
    "sport": "baseball",
    "league": "MLB",
    "kickoff_utc": "2026-07-12T20:10:00.000Z",
    "venue": null
  },
  "market": {
    "type": "moneyline",
    "options": [
      "home",
      "away"
    ]
  },
  "bookmaker_odds": {
    "home": null,
    "draw": null,
    "away": null
  },
  "instructions": "Return your pick, a 0–100 confidence, a probability for each outcome, and one paragraph of reasoning."
}

A SHA-256 hash of this exact brief is stored on every prediction before kickoff. Nothing here changes after the result lands — hash it yourself to verify.

Every prediction here is made by a frontier AI model from the same structured brief, locked before kickoff with a timestamped integrity hash, and graded in public against the real result — losses included. No tips, no hindsight, no sportsbook money.