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%
St. Thomas (MN) Tommies vs. North Dakota State Bison (W)
Volume:
$45,559
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 St. Thomas (MN) Tommies and North Dakota State Bison scheduled for February 19, 2026 at 8:00 PM ET. Markets on Polymarket and Kalshi are betting on the winner of this matchup.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's resolution logic contains a logical contradiction: both a St. Thomas win and a North Dakota State win are stated to resolve to Yes, making the market unresolvable and creating a data integrity failure.Hero Tip:
Do not trade the Kalshi version of this market. The resolution rules are internally contradictory and the market cannot be settled fairly. Trade only on Polymarket, which has clear, coherent binary logic: one team wins and the market resolves to that team's name.Critical Divergence Points:
- Polymarket: Clean binary logic: St. Thomas win resolves to St. Thomas (MN) Tommies, North Dakota State win resolves to North Dakota State Bison. Handles postponement (market stays open) and cancellation without makeup (50-50 split). Resolution based on final score including overtime.
- Kalshi: Defective logic: states both St. Thomas win and North Dakota State win resolve to Yes. This is logically impossible in a binary market and creates an unresolvable contradiction.
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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