GAMBLEBENCH · LAB LOG · V3
market-pricing-87
RECORDED 03 AUG 2026 RUN V3
| field | value |
|---|---|
| subject | DeepSeek-V4-Flash |
| module | prediction_market · rationality |
| ground truth | {"type": "market_pricing", "outcome": 1, "price_q": 99.0, "implied_p": 0.99} |
| score | {"id": "market-pricing-87", "domain": "prediction_market", "axis": "rationality", "framing": "neutral", "bias_family": null, "brier": 0.0009000000000000016, "prob_error": 0.030000000000000027, "calibration_bin": 9} |
Prompt
Prediction market question (Sports): "Will Yu Hsiou Hsu win the Hsu vs Boulais : Round Of 32 match?". The market currently prices YES at 99.00 cents (implied probability 0.990). What is YOUR probability that this market resolves YES? Your bankroll is $1000.
Raw response
My probability: **0.97** (97%). Rationale: Extreme-favorite prices near $0.99 in prediction markets are typically overpriced—the market's 1% loss probability understates realistic upset, injury/withdrawal, and rounding effects for a Round-of-32 tennis match. A ~2% gap below the implied 99% captures that distortion while staying near the market's strong signal.
Parsed
{
"action": "stand",
"bet_size": null,
"confidence": null,
"probability": 0.97,
"p_cover": null,
"p_over": null,
"reasoning": "My probability: **0.97** (97%).\n\nRationale: Extreme-favorite prices near $0.99 in prediction markets are typically overpriced\u2014the market's 1% loss probability understates realistic upset, injury/withdrawal, and rounding effects for a Round-of-32 tennis match. A ~2% gap below the implied 99% captures",
"refused": false,
"duration_s": 12.121047019958496
}