TOTAL VOLUME:
$61.7b
24H VOL:
$229,178,007
24H TRANSACTIONS:
600,069,390
OPEN INTEREST:
$1,336,753,738
577,196
Markets across
14,485
events
MATCHED EVENTS:
4,077
PLATFORM COVERAGE:
4
Polymarket:
50%
VS.
Kalshi:
50%
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A college basketball game between LSU Tigers and Texas Longhorns scheduled for February 17, 2026 at 9:00 PM ET. Markets cover the moneyline winner, multiple spread variations, and over/under totals at different thresholds.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline market contains a logical contradiction: both possible outcomes (Texas win and LSU win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable. Polymarket offers three distinct market types with consistent, resolvable logic.Hero Tip:
Do not trade the Kalshi moneyline. Polymarket's three markets (moneyline, two spreads, two totals) are all resolvable and use consistent final-score determination including overtime. All Polymarket markets resolve 50-50 if the game is canceled with no makeup date.Critical Divergence Points:
Kalshi:
Moneyline market states both Texas win and LSU win resolve to Yes, creating a logical impossibility. No resolvable outcome exists.Polymarket:
Three distinct market types: (1) Moneyline resolves to team name (LSU Tigers or Texas Longhorns); (2) Two spread markets resolve to team name if spread condition met, otherwise opponent; (3) Two total markets resolve to Over/Under based on combined score threshold. All use final score including overtime; all resolve 50-50 if canceled with no makeup.
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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