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%
Tulane Green Wave vs. North Texas Mean Green (W)
Volume:
$6,283
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 Tulane Green Wave and North Texas Mean Green scheduled for February 14, 2026 at 3:00 PM ET. Markets across Kalshi and Polymarket are betting on the winner of this matchup.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution rules contain a logical contradiction where both possible game outcomes (Tulane win and North Texas win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable. Polymarket uses standard winner-based resolution.Hero Tip:
Do not trade on Kalshi until the platform clarifies whether this is a data entry error. The market cannot resolve to Yes for both teams winning. Polymarket's logic is sound and should be the primary reference. Contact Kalshi support immediately to confirm intended resolution criteria.Critical Divergence Points:
- Kalshi: Claims both Tulane victory and North Texas victory both resolve to Yes. This is logically impossible for a binary market and indicates a critical data integrity failure. Key Quote: Both conditional statements resolve to Yes regardless of outcome.
- Polymarket: Uses standard winner-based resolution: Tulane win resolves to Tulane Green Wave, North Texas win resolves to North Texas Mean Green. Includes postponement and cancellation edge cases with 50-50 resolution for cancellations. Key Quote: If Tulane wins, resolve to Tulane Green Wave; if North Texas wins, resolve to North Texas Mean Green.
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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