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%
LSU Tigers vs. Ole Miss Rebels (W)
Volume:
$1,605,701
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the women's college basketball game between LSU Tigers and Ole Miss Rebels scheduled for February 19, 2026 at 9:00 PM ET. Markets resolve based on which team wins the game, with provisions for postponement and cancellation scenarios.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi market contains a logical contradiction where both possible game outcomes (LSU win or Ole Miss win) are stated to resolve to Yes, making binary resolution impossible. Polymarket has coherent winner-take-all logic.Hero Tip:
This is a critical flaw in the Kalshi market design. Do not trade on Kalshi for this event. The market cannot be settled fairly because both outcomes map to the same resolution value. Polymarket is the only viable trading venue for this matchup.Critical Divergence Points:
- Polymarket: Clear binary winner-take-all structure. LSU win resolves to LSU Tigers, Ole Miss win resolves to Ole Miss Rebels. Postponement keeps market open until completion. Cancellation without makeup resolves 50-50. Source: NCAA.com final score including overtime.
- Kalshi: Logical contradiction detected. Market states: If Ole Miss wins, resolve to Yes. If LSU wins, resolve to Yes. Both outcomes cannot both be Yes in a binary market - this is a data integrity failure that makes the market unresolvable.
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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