Charleston Southern Buccaneers vs. Winthrop Eagles
Volume:
$3,035,193
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A college basketball game between Charleston Southern Buccaneers and Winthrop Eagles scheduled for March 6, 2026 at 2:30 PM ET. Markets cover moneyline winner, point spread outcomes at multiple thresholds, and total points over/under at various lines.
Kalshi moneyline market contains logical contradiction where both possible outcomes (Charleston Southern win and Winthrop win) are specified to resolve to Yes, making the market fundamentally unresolvable. Polymarket and all spread/total markets use consistent, resolvable logic.
Hero Tip:
Do not trade the Kalshi moneyline market due to the logical contradiction. Trade only Polymarket moneyline and the spread/total markets which are consistent across both platforms. Settlement will be based on final score including overtime from NCAA.com official records.
Critical Divergence Points:
Kalshi: Moneyline market states: If Charleston Southern wins, resolves to Yes. If Winthrop wins, resolves to Yes. This creates a logical impossibility where every outcome is winning. All other Kalshi logic is absent from source data.
Polymarket: Moneyline market correctly specifies: Charleston Southern win resolves to Charleston Southern Buccaneers, Winthrop win resolves to Winthrop Eagles. Spread markets (-3.5, -4.5, -5.5, -6.5) and total markets (O/U 161.5, 162.5, 163.5, 164.5) all use consistent threshold logic with 50-50 cancellation clause.
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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