This event group covers a women's college basketball game between Robert Morris Colonials and Detroit Titans scheduled for February 19, 2026 at 7:00 PM ET. The markets across platforms are betting on which team will win the game.
Kalshi's resolution logic is logically contradictory—it states both possible outcomes (Detroit Mercy wins AND Robert Morris wins) resolve to Yes, making the market unable to differentiate between outcomes. Polymarket correctly resolves to the winning team name. This is a data integrity failure on Kalshi's side.
Hero Tip:
Do not trade Kalshi's version of this market as written. The logic guarantees a Yes resolution regardless of game outcome, which violates basic market design. Polymarket's categorical resolution (team name) is the correct structure. Confirm Kalshi's actual market terms before any position.
Critical Divergence Points:
Kalshi: Binary Yes/No market that resolves to Yes for both possible outcomes (Detroit Mercy wins OR Robert Morris wins). This creates a logical contradiction where the market cannot fail to resolve Yes. Key Quote: Both win conditions explicitly state 'resolves to Yes'.
Polymarket: Categorical market that resolves to the winning team's name (Robert Morris Colonials or Detroit Titans). Includes proper edge case handling for postponement (market stays open) and cancellation (50-50 split). Key Quote: 'If the Robert Morris Colonials win, the market will resolve to Robert Morris Colonials. If the Detroit Titans win, the market will resolve to Detroit Titans.'
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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