This event is for the CBB game between Tennessee State Tigers and Iowa State Cyclones on March 20 at 12:00 AM ET.
If the game is postponed, this market will remain open until the game has been completed.
If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Kalshi and Polymarket resolve on fundamentally different events: Kalshi settles on first-half regulation results only, while Polymarket settles on full-game final scores including overtime. This creates irreconcilable outcome divergence.
Hero Tip:
Do not cross-hedge Kalshi and Polymarket markets in this group. A Kalshi first-half winner does not guarantee the same team wins the full game on Polymarket. Treat these as completely separate betting events.
Critical Divergence Points:
Kalshi:
Outlier: Kalshi resolves based exclusively on first-half regulation results. The market states 'If Tennessee St. is the winner of the first half of regulation time... then the market resolves to Yes' and covers all three first-half outcomes (Tennessee St. win, Iowa St. win, or tie), each resolving to Yes. This is a first-half-only settlement, not a full-game settlement.
Polymarket:
Aligned with standard full-game college basketball settlement: Polymarket resolves on final full-game scores including overtime. The moneyline market states 'The result will be determined based on the final score including any overtime periods,' and all spread and over/under markets use identical full-game logic. All 11 Polymarket markets (moneyline, spreads, and totals) settle on the complete game outcome.
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.