TOTAL VOLUME:
$54.4b
24H VOL:
$234,875,025
OPEN INTEREST:
$1,205,330,693
501,301
Markets across
13,585
events
MATCHED EVENTS:
1,825
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Rutgers Scarlet Knights vs. Purdue Boilermakers (W)
Volume:
$125,000
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the women's college basketball matchup between Rutgers Scarlet Knights and Purdue Boilermakers scheduled for February 14, 2026 at 12:00 PM ET. 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 is internally contradictory, resolving both possible outcomes to Yes, making the market logically unresolvable. Polymarket uses standard categorical resolution. This is a data integrity failure on the Kalshi source.Hero Tip:
Do not trade on Kalshi until the contract terms are clarified and corrected. Polymarket's market is resolvable and clear: it will resolve to the name of the winning team. Treat Kalshi as unreliable pending verification.Critical Divergence Points:
- Kalshi: Binary Yes resolution for both outcomes. Both Purdue win and Rutgers win trigger Yes resolution. This is logically impossible for a binary market and suggests a critical error in contract specification.
- Polymarket: Categorical resolution to winner name. Resolves to Rutgers Scarlet Knights if Rutgers wins, or Purdue Boilermakers if Purdue wins. Includes postponement (market stays open) and cancellation (50-50 split) provisions. Resolution based on final score including overtime.
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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