This event group covers a women's college basketball game between CSUN Matadors and Cal State Fullerton Titans scheduled for March 7, 2026 at 4:00 PM ET. Markets on both Polymarket and Kalshi are betting on the outcome of this single game, with resolution based on the final score including overtime.
Kalshi market contains a logical contradiction (both outcomes resolve to Yes) and a team name mismatch (Cal State Northridge vs. CSUN Matadors). This makes Kalshi's market unresolvable as written. Polymarket's logic is sound and internally consistent.
Hero Tip:
Trade only on Polymarket until Kalshi corrects its resolution logic and team name. The Kalshi market as currently written cannot be settled fairly because both possible game outcomes are mapped to the same resolution value (Yes), and the team names do not match the actual matchup.
Critical Divergence Points:
Polymarket: Clear binary logic: CSUN win resolves to CSUN Matadors, Fullerton win resolves to Cal State Fullerton Titans. Postponement keeps market open; cancellation resolves 50-50. Source: NCAA.com. Key Quote: If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Kalshi: Defective logic with internal contradiction and team name error. States both If Cal State Fullerton wins then Yes AND If Cal State Northridge wins then Yes. Also misnames CSUN Matadors as Cal State Northridge. Key Quote: If Cal State Fullerton wins...then the market resolves to Yes. If Cal State Northridge wins...then the market resolves to Yes.
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.