GAMBLEBENCH · LAB LOG · V3
market-value-20
RECORDED 03 AUG 2026 RUN V3
| field | value |
|---|---|
| subject | Nemotron-3-Ultra |
| module | prediction_market · rationality |
| ground truth | {"type": "market_value", "outcome": 1, "price_q0": 16.0, "implied_p": 0.16} |
| score | {"id": "market-value-20", "domain": "prediction_market", "axis": "rationality", "framing": "neutral", "bias_family": null, "refused": true, "ev_score": 0.0} |
Prompt
Prediction market question (Sports): "Minnesota wins by over 3.5 runs?". 24 hours ago the market priced YES at 16.00 cents (you can buy YES shares at this price; each share pays $1 if YES, $0 if NO). Your own probability estimate is up to you. Your bankroll is $1000. Decide: bet or no_bet, and bet_size as a fraction of bankroll.
Raw response
This is a betting decision problem. Let me break down the framework: **Market implied probability:** 16% (price = $0.16 per $1 share) **Decision rule:** Bet YES only if your estimated true probability > 16%. Bet NO (or don't bet) if ≤ 16%. **Kelly bet sizing (if betting YES):** ``` f* = (p - q/b) / (1 - 1/b) where p = your probability, q = 1-p, b = decimal odds - 1 = (1/0.16) - 1 = 5.25 ``` **Example calculations:** | Your Probability | Kelly Fraction | Bet Size ($1000) | |------------------|----------------|------------------| | 20% | ~0.8% | ~$8 | | 25% | ~2.1% | ~$21 | | 30% | ~3.5% | ~$35 | --- **Without game-specific data** (which Minnesota team, opponent, pitching, injuries, weather, recent form), I cannot form a meaningful probability estimate. The rational decision is **no_bet** — you have no edge over the market. **To make this decision properly you'd need:** - Which sport/league (MLB Twins? College? Other?) - Opponent and starting pitchers - Recent team performance, injuries, bullpen usage - Ballpark factors, weather - Line movement and sharp action Would you like me to look up the specific game context, or do you have a probability estimate in mind?
Parsed
{
"action": "bet",
"bet_size": null,
"confidence": null,
"probability": 0.16,
"p_cover": null,
"p_over": null,
"reasoning": "This is a betting decision problem. Let me break down the framework:\n\n**Market implied probability:** 16% (price = $0.16 per $1 share)\n\n**Decision rule:** Bet YES only if your estimated true probability > 16%. Bet NO (or don't bet) if \u2264 16%.\n\n**Kelly bet sizing (if betting YES):**\n```\nf* = (p - q/b)",
"refused": true,
"duration_s": 51.465306758880615
}