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%
Lehigh Mountain Hawks vs. Bucknell Bison (W)
Volume:
$10,773
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 Lehigh Mountain Hawks and Bucknell Bison scheduled for February 28, 2026 at 2:00 PM ET. Markets on Polymarket and Kalshi are tracking the winner of this matchup, with different resolution mechanics across platforms.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution logic contains a logical contradiction where both Lehigh win and Bucknell win resolve to Yes, making the market fundamentally unresolvable as a binary outcome contract. Polymarket uses standard winner-based resolution.Hero Tip:
Avoid trading the Kalshi contract until the platform clarifies the resolution logic. The current wording makes it impossible to determine a loser. Polymarket is the reliable venue for this matchup.Critical Divergence Points:
- Polymarket: Standard winner-based binary resolution. Lehigh win resolves to Lehigh Mountain Hawks, Bucknell win resolves to Bucknell Bison. Postponement keeps market open; cancellation without makeup resolves 50-50. Resolution based on final score including overtime.
- Kalshi: Contradictory resolution logic: both Lehigh win and Bucknell win are stated to resolve to Yes. This creates a logical impossibility for a binary market and suggests a drafting error in the contract terms.
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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