This event group covers the men's college basketball matchup between the Texas Longhorns and Gonzaga Bulldogs scheduled for March 21, 2026, played at Gonzaga's home venue. The market resolves based on the final outcome of the game—either Texas wins or Gonzaga wins.
Kalshi's market rules are logically contradictory and unresolvable. Kalshi states that the market resolves YES if either Texas wins OR Gonzaga wins, which means the market resolves YES regardless of outcome. Polymarket correctly structures mutually exclusive outcomes: Texas Longhorns resolves to 'Texas Longhorns', Gonzaga Bulldogs resolves to 'Gonzaga Bulldogs', with clear tie-breaking and postponement rules.
Hero Tip:
Do not trade on Kalshi's moneyline market (items 1-2) — it contains a fatal logical error that makes it unresolvable. All Polymarket markets (items 3-41) are properly structured with mutually exclusive outcomes and clear settlement conditions. Trade only on Polymarket.
Critical Divergence Points:
Kalshi: Outlier: Kalshi's moneyline market states 'If Texas wins... resolves to Yes' AND 'If Gonzaga wins... resolves to Yes', creating a logical contradiction where every possible outcome resolves YES. This makes the market fundamentally unresolvable and creates infinite arbitrage exposure.
Polymarket: Distinct stance: Polymarket structures all markets with mutually exclusive outcomes. The moneyline resolves to 'Texas Longhorns' if Texas wins, or 'Gonzaga Bulldogs' if Gonzaga wins. All spread and over/under markets use clear numeric thresholds with consistent postponement (market remains open) and cancellation (50-50 split) rules.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.