This event is for the CBB game between Santa Clara Broncos and Kentucky Wildcats 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 the first-half result only, while Polymarket settles on the full-game final score. This creates two entirely separate markets with incompatible outcomes.
Hero Tip:
Do not cross-hedge Kalshi and Polymarket positions on this game group. A Kalshi YES (first half winner or tie) does not predict a Polymarket outcome (full-game winner or spread). Treat these as independent markets with different underlying events.
Critical Divergence Points:
Kalshi: Outlier: Kalshi resolves on the first-half result only. The market states 'If Santa Clara is the winner of the first half... then the market resolves to Yes' and includes tie as a YES outcome. This is a first-half-only market, not a full-game market. Key quote: 'the first half of regulation time in the Santa Clara vs Kentucky men's college basketball game'.
Polymarket: Outlier: Polymarket resolves on the full-game final score including overtime. All Polymarket markets (moneyline, spreads, totals) explicitly state 'The result will be determined based on the final score including any overtime periods.' This is a full-game market, not a first-half market. Key quote: 'The result will be determined based on the final score including any overtime periods.'
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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