This event group covers a men's college basketball game between San Jose State Spartans and Boise State Broncos scheduled for February 21, 2026 at 4:00 PM ET. Markets include moneyline (winner), over/under totals at multiple thresholds (144.5, 146.5), and spread outcomes at multiple lines (-15.5, -16.5, -17.5).
Kalshi market contains a logical contradiction where both possible game outcomes (San Jose St. win and Boise St. win) are specified to resolve to the same result (Yes), making the market unresolvable. This is a data integrity failure that prevents proper settlement.
Hero Tip:
Do not trade the Kalshi market in its current form. The Polymarket moneyline and derivative markets (spreads, totals) are logically sound and can be settled based on final game score. Request clarification from Kalshi on whether the second outcome should resolve to No, or if this is a template error.
Critical Divergence Points:
Polymarket: Six distinct markets with unified resolution logic: moneyline resolves to winner name, spreads resolve based on margin of victory (16+, 17+, or 18+ points for Boise), totals resolve Over if combined score meets or exceeds threshold (145, 147). All include postponement (market stays open) and cancellation (50-50 split) provisions. Key Quote: 'The result will be determined based on the final score including any overtime periods.'
Kalshi: Single market with logical contradiction: states 'If San Jose St. wins... resolves to Yes' and 'If Boise St. wins... resolves to Yes'. Both mutually exclusive outcomes map to identical resolution (Yes), creating an unresolvable binary market. No cancellation or postponement language provided.
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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