A men's college basketball game between Bethune-Cookman Wildcats and Alcorn State Braves scheduled for February 14, 2026 at 4:00 PM ET. Markets cover moneyline (winner), point spread at multiple thresholds (-6.5, -7.5, -8.5 favoring Bethune-Cookman), and total points over/under at two levels (144.5 and 145.5).
Kalshi's moneyline market contains a logical contradiction: both Alcorn St. win and Bethune-Cookman win are specified to resolve to Yes, with no No outcome defined. This makes the market fundamentally unresolvable as a binary contract.
Hero Tip:
Avoid trading Kalshi's moneyline until the platform clarifies the resolution logic. Focus on Polymarket's well-defined moneyline, spreads, and totals. All Polymarket markets include proper cancellation handling (50-50 if no make-up game) and overtime inclusion.
Critical Divergence Points:
Kalshi: Moneyline market states both 'If Alcorn St. wins... resolves to Yes' and 'If Bethune-Cookman wins... resolves to Yes' with no specification for No resolution. This creates a logical impossibility for a binary Yes/No market.
Polymarket: Moneyline resolves to winner's name (Bethune-Cookman Wildcats or Alcorn State Braves). Spreads resolve based on point differential thresholds (-6.5, -7.5, -8.5). Totals resolve Over/Under at 144.5 and 145.5 thresholds. All markets include postponement handling (remain open) and cancellation handling (50-50 if no make-up). Final score includes overtime.
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.