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": "Zhang Shuai",
    "away": "Tereza Valentova",
    "sport": "tennis",
    "league": "Kinoshita Group Japan Open",
    "kickoff_utc": "2026-10-20T00:40:00.000Z",
    "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."
}