GAMBLEBENCH · LAB LOG · V3

market-value-20

RECORDED 03 AUG 2026 RUN V3
fieldvalue
subjectNemotron-3-Ultra
moduleprediction_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
}