This event group covers a men's college basketball game between Murray State Racers and Illinois State Redbirds scheduled for February 18, 2026 at 9:00 PM ET. Markets span moneyline (winner), multiple spread variations, and over/under total points across Kalshi and Polymarket platforms.
Over/Under total-points thresholds differ between platforms. Polymarket uses 156.5 and 158.5 with 157 and 159 as resolution points respectively. Kalshi offers 11 overlapping markets with thresholds from 141.5 to 171.5, all resolving Yes if exceeded.
Hero Tip:
Confirm your exact market threshold before settlement. Polymarket O/U 156.5 breaks at 157 combined points. Kalshi markets are stacked—a final score of 160 points resolves Yes on all Kalshi markets with thresholds below 160. Cross-platform arbitrage risk exists if you hold opposing positions at different thresholds.
Critical Divergence Points:
Polymarket: Three distinct markets: Moneyline (Murray State or Illinois State winner), Spread -3.5 (Illinois State wins by 4+), Spread -2.5 (Illinois State wins by 3+), Spread -1.5 (Illinois State wins by 2+), O/U 156.5 (Over if 157+ combined points), O/U 158.5 (Over if 159+ combined points). All resolve based on final score including overtime. Cancellation resolves 50-50.
Kalshi: 11 separate over-total markets with thresholds: 141.5, 144.5, 147.5, 150.5, 153.5, 156.5, 159.5, 162.5, 165.5, 168.5, 171.5. Each resolves Yes if combined score exceeds the stated threshold. All reference the same game and date (Feb 18, 2026). No explicit cancellation clause provided.
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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