This event group covers a men's college basketball game between Rutgers Scarlet Knights and Maryland Terrapins scheduled for March 1, 2026 at 12:00 PM ET. Markets include moneyline (winner), point spreads at -4.5 and -5.5, and over/under totals at 141.5 and 142.5 points.
Kalshi moneyline market contains a logical contradiction where both possible outcomes (Maryland win and Rutgers win) are stated to resolve to Yes, making the market fundamentally unresolvable and creating a data integrity failure.
Hero Tip:
Do not trade the Kalshi market in its current form. The resolution logic is contradictory—both teams winning cannot both resolve to Yes. Contact Kalshi support for clarification on the intended No outcome condition. Polymarket offers clear, consistent resolution logic across all market types and should be used as the authoritative source for this event.
Critical Divergence Points:
Polymarket: Six distinct markets with unified logic: moneyline resolves to winner name; spreads resolve based on margin (Maryland -4.5 requires 5+ point win, -5.5 requires 6+ point win); totals resolve Over at 142+ or 143+ combined points respectively. Postponement keeps markets open; cancellation resolves 50-50. All outcomes are mutually exclusive and resolvable.
Kalshi: Single moneyline market with critical logical flaw: states both 'If Maryland wins...resolves to Yes' and 'If Rutgers wins...resolves to Yes,' creating impossible dual-Yes resolution. No explicit No condition is defined, making the market unresolvable as written.
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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