Charleston Southern Buccaneers vs. Radford Highlanders
Volume:
$95,897
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between Charleston Southern Buccaneers and Radford Highlanders scheduled for February 14, 2026 at 2:30 PM ET. Multiple prediction markets cover the moneyline outcome, point spread variations, and total points over/under.
Kalshi moneyline market contains a logical contradiction where both possible game outcomes (Charleston Southern win and Radford win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable and creating a data integrity failure.
Hero Tip:
Disregard the Kalshi moneyline market. Use Polymarket moneyline as the single source of truth for winner determination. For spread and total markets, all platforms use consistent threshold logic and are safe to trade.
Critical Divergence Points:
Kalshi: Moneyline market contains logical contradiction. States: 'If Charleston Southern wins...resolves to Yes' AND 'If Radford wins...resolves to Yes'. This maps every possible outcome to Yes, leaving no valid No resolution path. Market is unresolvable as written.
Polymarket: Moneyline market is logically sound. Resolves to 'Charleston Southern Buccaneers' if Charleston Southern wins, or 'Radford Highlanders' if Radford wins. Cancellation without makeup resolves 50-50. Spread markets (-3.5 and -4.5) and Over/Under markets (162.5 and 161.5) all use explicit point thresholds with consistent 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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