This event group covers the men's college basketball game between South Carolina Gamecocks and Georgia Bulldogs scheduled for February 28, 2026 at 3:30 PM ET. Markets track the moneyline winner, point spread (Georgia -12.5), and two over/under totals (158.5 and 159.5 points).
Kalshi's moneyline market contains a logical contradiction where both possible outcomes (South Carolina win and Georgia win) resolve to Yes, making the market fundamentally unresolvable. Additionally, Polymarket offers two distinct over/under thresholds (158.5 and 159.5) that create a 1-point arbitrage zone.
Hero Tip:
Do not trade Kalshi's moneyline until the platform clarifies whether it should resolve to Yes for the winner only, or if there is a data entry error. For Polymarket over/under markets, identify positions where combined score lands between 159-159 points to exploit the threshold difference. Spread market (Georgia -12.5) is consistent across platforms in logic.
Critical Divergence Points:
Kalshi: Moneyline market states both 'If South Carolina wins...resolves to Yes' AND 'If Georgia wins...resolves to Yes'. This is a logical contradiction. No over/under or spread markets are defined on Kalshi.
Polymarket: Moneyline resolves to team name (South Carolina Gamecocks or Georgia Bulldogs). Two over/under markets with different thresholds: O/U 159.5 (160+ = Over) and O/U 158.5 (159+ = Over). Spread market: Georgia -12.5 resolves Georgia if win by 13+, otherwise South Carolina. All markets include 50-50 cancellation clause and overtime inclusion.
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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