A college basketball game between VMI Keydets and Wofford Terriers scheduled for February 18, 2026 at 6:00 PM ET. Markets cover moneyline (winner), multiple point spreads, and over/under totals across Kalshi and Polymarket platforms.
Unified Resolution Criteria (Consistent across platforms)
Both platforms resolve all markets based on the final score of the VMI vs. Wofford game on February 18, 2026, including overtime, with consistent postponement and cancellation protocols.
Primary resolution logic:
Official NCAA final score and game result from February 18, 2026 contest
Core resolution logic:
Moneyline: Resolves to the team with the higher final score (VMI Keydets or Wofford Terriers)
Point Spread (-12.5, -13.5, -14.5, -15.5): Resolves to Wofford if they win by the specified margin or greater; otherwise resolves to VMI
Over/Under (154.5, 156.5, 157.5): Resolves to Over if combined score meets or exceeds the threshold; otherwise Under
Final score determination includes all overtime periods
Result based on official NCAA reporting and game completion
Edge cases & Clarifications:
Game Postponement: Both platforms keep markets open until the game is completed and played to final score
Game Cancellation (No Makeup): Polymarket explicitly resolves 50-50; Kalshi does not address this scenario but implies game must be completed for resolution
Overtime: All markets include overtime periods in final score determination
Timing:
Resolution occurs immediately upon completion of the game on February 18, 2026 (or rescheduled date if postponed), based on official final score
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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