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Pierre-Hugues Herbert
Jurij Rodionov
Sun 18 Oct, 7:00 am UTC
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Full time · score unavailable
1/6 AIs back Pierre-Hugues Herbert · 58%
This match is over — see which AIs called it right.7 AI models predict every match, graded in public. Make them call today's upcoming tennis — before the matches start.Today's tennis
The AI verdict
2 frontier models · 6 calls
ModelMatch winnerOver / Under
ConsensusPierre-Hugues Herbert1/2 modelsunder_2.51/2 models
Grok 4 FastFLAGSHIPxai · 48% · 4,546 graded · Pierre-Hugues Herbert58%under_2.562%
DeepSeek V3deepseek · 46% · 5,462 graded · Pierre-Hugues Herbert58%Over 2.5 sets55%
This match is over

The result is in, so the AIs can't be called on it — every call locks before the match to stay honest. Put them to work on today's upcoming games instead.

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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": "Pierre-Hugues Herbert",
    "away": "Jurij Rodionov",
    "sport": "tennis",
    "league": "Grand Prix Auvergne-Rhône-Alpes",
    "kickoff_utc": "2026-10-18T07:00:00.000Z",
    "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.