Michigan State Spartans vs. Minnesota Golden Gophers (W)
Volume:
$921,816
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a women's college basketball game between Michigan State Spartans and Minnesota Golden Gophers scheduled for February 22, 2026 at 6:00 PM ET. Markets across platforms are betting on which team will win the game, with resolution based on the final score including overtime.
Kalshi's resolution rules contain a logical contradiction where both possible game outcomes (Michigan State win and Minnesota win) are stated to resolve to Yes, making the market fundamentally unresolvable. Polymarket provides clear, mutually exclusive resolution paths.
Hero Tip:
Kalshi's market structure is broken and unresolvable as written. Only trade Polymarket for this event. Kalshi must clarify whether the market should resolve Yes for Michigan State only, Minnesota only, or if there is a missing No condition. Do not assume Kalshi will auto-correct at settlement.
Critical Divergence Points:
Polymarket: Binary winner-take-all structure with clear mutually exclusive outcomes. Resolves to Michigan State Spartans if they win, Minnesota Golden Gophers if they win. Postponement keeps market open; cancellation with no makeup resolves 50-50. Resolution based on final score including overtime.
Kalshi: Contains unresolvable logical contradiction. Both "If Michigan St. wins" and "If Minnesota wins" are stated to resolve to Yes, creating an impossible binary outcome where every result is Yes. No explicit No condition or tiebreaker is 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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.