This event group covers a men's college basketball game between the Florida Gators and Texas Longhorns scheduled for February 25, 2026 at 7:00 PM ET. Markets span moneyline (winner), multiple spread variations (-5.5, -6.5, -7.5), and over/under totals (157.5, 159.5, 160.5 points).
Kalshi moneyline market exhibits logical collapse (both outcomes resolve Yes), making it non-discriminatory. Polymarket markets are standard and resolvable. Spread and O/U logic is consistent across platforms where applicable.
Hero Tip:
Ignore Kalshi moneyline entirely—it cannot differentiate between Florida and Texas wins. Use Polymarket moneyline, spreads, and totals for all trading decisions. All platforms agree on postponement (market stays open) and full cancellation (50-50 resolution).
Critical Divergence Points:
Kalshi: Moneyline market resolves to Yes for both Florida win and Texas win outcomes. This creates a tautological resolution that provides no information. Quote: 'If Florida wins... then the market resolves to Yes. If Texas wins... then the market resolves to Yes.'
Polymarket: Moneyline resolves to 'Florida Gators' if Florida wins, 'Texas Longhorns' if Texas wins. Spread markets (-5.5, -6.5, -7.5) resolve to 'Florida Gators' if margin threshold met, else 'Texas Longhorns'. O/U markets (157.5, 159.5, 160.5) resolve to 'Over' if combined score meets or exceeds threshold, else 'Under'. Quote: 'If the Florida Gators win, the market will resolve to Florida Gators. If the Texas Longhorns win, the market will resolve to Texas Longhorns.'
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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