Sam Houston Bearkats vs. Delaware Fightin' Blue Hens
Volume:
$651,690
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
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Trade
Description
This event group covers a men's college basketball game between Sam Houston Bearkats and Delaware Fightin' Blue Hens scheduled for March 5, 2026 at 7:00 PM ET. Markets span moneyline (winner), point spread (-6.5 and -7.5), and over/under totals (147.5 and 148.5).
Kalshi's moneyline market contains a logical contradiction where both possible game outcomes (Delaware win and Sam Houston win) are mapped to the same resolution value (Yes), rendering the market fundamentally unresolvable. Polymarket's moneyline market uses standard binary logic with distinct outcomes.
Hero Tip:
Do not settle Kalshi's moneyline market as written. Escalate to PredictionHero compliance for manual review and potential correction. Use Polymarket's moneyline resolution logic as the authoritative source. All spread and over/under markets across both platforms are logically sound and can be settled normally based on final game score.
Critical Divergence Points:
Kalshi: Moneyline market states both outcomes resolve to Yes: 'If Delaware wins...resolves to Yes' and 'If Sam Houston wins...resolves to Yes'. This creates logical impossibility. Spread and over/under markets are coherent.
Polymarket: Moneyline market uses standard binary logic: resolves to 'Sam Houston Bearkats' if Sam Houston wins, or 'Delaware Fightin' Blue Hens' if Delaware wins. Spread markets (-6.5, -7.5) and over/under markets (147.5, 148.5) all use clear threshold-based logic.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.
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