Mississippi Valley State Delta Devils vs. Grambling State Tigers
Volume:
$47,641
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A college basketball game between Mississippi Valley State Delta Devils and Grambling State Tigers scheduled for February 23, 2026 at 8:00 PM ET. Markets cover moneyline (full game winner), point spreads at multiple thresholds, and total points over/under at two different lines. One platform also offers a first-half winner market.
Kalshi market resolves on first-half regulation outcome only, while Polymarket markets resolve on full-game final score including overtime. These represent different competitive windows and cannot be directly reconciled.
Hero Tip:
Recognize these as two separate markets with different scopes. Kalshi first-half markets settle independently of Polymarket full-game markets. Monitor both separately and do not cross-apply outcomes between them.
Critical Divergence Points:
Kalshi: First-half only resolution. Resolves Yes if MVSU wins first half, Grambling wins first half, or first half ends in a tie. Key Quote: 'If Mississippi Valley St. is the winner of the first half of regulation time... If Tie is the result of the first half... If Grambling St. is the winner of the first half...'
Polymarket: Full-game resolution including overtime. Moneyline resolves to winner of final score. Spreads resolve based on final margin. Totals resolve based on combined final score. 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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