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%
Stephen F. Austin Lumberjacks vs. Incarnate Word Cardinals (W)
Volume:
$5,814
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a women's college basketball game between Stephen F. Austin Lumberjacks and Incarnate Word Cardinals scheduled for February 26, 2026 at 7:00 PM ET. Markets on Polymarket and Kalshi are tracking the winner of this matchup, with different resolution structures across platforms.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's binary resolution maps both possible outcomes (Incarnate Word win OR Stephen F. Austin win) to Yes, creating a logical contradiction that makes the market fundamentally unresolvable as a predictive instrument. Polymarket uses standard winner-take-all logic.Hero Tip:
This is a critical data integrity failure on Kalshi. Do not trade this market on Kalshi until the resolution logic is corrected. Polymarket's market is resolvable and should be treated as the authoritative reference.Critical Divergence Points:
- Polymarket: Winner-take-all binary. Resolves to the name of the winning team. Includes postponement (market stays open) and cancellation (50-50 split) provisions. Source: NCAA.com final score including overtime.
- Kalshi: Defective binary structure. Both outcomes (Incarnate Word wins OR Stephen F. Austin wins) are mapped to Yes resolution. This is logically impossible for a mutually exclusive event and 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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