TOTAL VOLUME:
$54.4b
24H VOL:
$234,875,025
OPEN INTEREST:
$1,205,330,693
501,301
Markets across
13,585
events
MATCHED EVENTS:
1,825
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
Gonzaga Bulldogs vs. Pacific Tigers (W)
Volume:
$4,668
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers the women's college basketball matchup between Gonzaga Bulldogs and Pacific Tigers scheduled for February 21, 2026 at 5:00 PM ET. Markets across platforms are betting on which team will win the game, with resolution based on the final score including overtime.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution rules contain a logical contradiction where both possible outcomes (Gonzaga win and Pacific win) are stated to resolve to Yes, making the market fundamentally unresolvable. Polymarket's binary winner-take-all structure is logically sound.Hero Tip:
Avoid trading on Kalshi until the platform clarifies whether this is a documentation error or a market design issue. Polymarket's market is resolvable as written. Verify with Kalshi support before committing capital.Critical Divergence Points:
- Polymarket: Binary winner-take-all resolution. Gonzaga win resolves to 'Gonzaga Bulldogs', Pacific win resolves to 'Pacific Tigers'. Includes postponement (market stays open) and cancellation (50-50 split) edge cases. Resolution based on final score including overtime.
- Kalshi: Contradictory YES resolution for both outcomes. States 'If Gonzaga wins...resolves to Yes' AND 'If Pacific wins...resolves to Yes'. This creates logical impossibility in a binary market structure.
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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