TOTAL VOLUME:
$54.6b
24H VOL:
$283,259,638
OPEN INTEREST:
$1,235,549,422
505,521
Markets across
13,661
events
MATCHED EVENTS:
1,892
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Michigan State Spartans vs. Michigan Wolverines (W)
Volume:
$311,290
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the outcome of a women's college basketball game between Michigan State Spartans and Michigan Wolverines scheduled for February 15, 2026 at 4:00 PM ET. The markets resolve based on which team wins the game, with provisions for postponement or cancellation.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution logic contains a logical contradiction: both possible outcomes (Michigan win and Michigan State win) are stated to resolve to Yes, making the market unresolvable. Polymarket uses standard categorical resolution (winner name). These are incompatible settlement structures.Hero Tip:
Do not trade Kalshi until the logic error is clarified with the platform. Polymarket's structure is standard and resolvable. Confirm with Kalshi support whether this is a documentation error or if there is a third outcome (tie, cancellation) that resolves to No.Critical Divergence Points:
- Kalshi: Binary Yes resolution stated for both possible game outcomes. Logic states: Michigan win = Yes, Michigan State win = Yes. This is internally contradictory and makes the market logically unresolvable. No explicit No condition is defined.
- Polymarket: Categorical resolution to team name. Resolves to either Michigan State Spartans or Michigan Wolverines based on final score. Includes explicit edge cases: postponement keeps market open, cancellation with no makeup resolves 50-50.
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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