A men's college basketball game between Grambling State Tigers and Alabama A&M Bulldogs scheduled for March 3, 2026 at 8:30 PM ET. Markets cover moneyline (winner), point spreads at -1.5 and -2.5, and total points over/under at 138.5 and 139.5.
Unified Resolution Criteria (Consistent across platforms)
Both Kalshi and Polymarket use identical resolution logic: official final score determines all outcomes, postponements keep markets open, and cancellations without make-up games resolve 50-50.
Primary resolution logic:
NCAA official final score and game records
Core resolution logic:
Moneyline resolves to the team with the higher final score
Spread -1.5 resolves to Alabama A&M if they win by 2+ points, otherwise Grambling State
Spread -2.5 resolves to Alabama A&M if they win by 3+ points, otherwise Grambling State
Over 138.5 resolves if combined score is 139 or more points
Under 138.5 resolves if combined score is 138 or fewer points
Over 139.5 resolves if combined score is 140 or more points
Under 139.5 resolves if combined score is 139 or fewer points
All resolutions include overtime scoring in the final total
Edge cases & Clarifications:
Game Postponement: Markets remain open and unresolved until the game is completed on a future date
Game Cancellation: If the game is canceled entirely with no make-up game scheduled, all markets resolve 50-50
Overtime: All scoring in overtime periods counts toward final score and totals
Timing:
Resolution occurs immediately after the final official score is recorded by NCAA, typically within 1-2 hours of game completion on March 3, 2026
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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