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%
Texas Longhorns vs. Tennessee Volunteers (W)
Volume:
$896,416
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 the Texas Longhorns and Tennessee Volunteers scheduled for February 15, 2026 at 3:00 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 is internally contradictory—both possible outcomes (Texas win and Tennessee win) are stated to resolve to Yes, making the market logically unresolvable. Polymarket uses standard categorical resolution (team name outcome). These structures are incompatible.Hero Tip:
Do not trade Kalshi until the platform clarifies whether this is a data entry error or an intentional binary structure. Polymarket's logic is sound and resolvable. Focus trading activity on Polymarket.Critical Divergence Points:
- Kalshi: Binary Yes resolution for both outcomes. Both Tennessee win and Texas win are stated to resolve to Yes, creating a logical impossibility. No clear No outcome is defined.
- Polymarket: Categorical resolution to team name. Texas win resolves to Texas Longhorns, Tennessee win resolves to Tennessee Volunteers. Includes postponement (market stays open) and cancellation (50-50 split) provisions.
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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