Wake Forest Demon Deacons vs. North Carolina State Wolfpack (W)
Volume:
$73,457
Markets
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 Wake Forest Demon Deacons and North Carolina State Wolfpack scheduled for February 26, 2026 at 7:00 PM ET. Markets resolve based on which team wins the game, with provisions for postponement or cancellation.
Kalshi's resolution logic contains a logical contradiction: both possible game outcomes (Wake Forest win and NC State win) are mapped to the same resolution state (Yes), making the market unresolvable as a true binary. Polymarket uses standard binary logic with mutually exclusive outcomes.
Hero Tip:
This is a critical data integrity failure on Kalshi's side. Before trading or settling, obtain written clarification from Kalshi that the second outcome should resolve to No, or confirm this is a moneyline-style market where only game cancellation resolves to No. Use Polymarket as your authoritative settlement reference until Kalshi corrects its documentation.
Critical Divergence Points:
Polymarket: Standard binary winner-take-all structure. Wake Forest victory resolves to Wake Forest Demon Deacons; NC State victory resolves to North Carolina State Wolfpack. Postponement extends market; full cancellation without makeup resolves 50-50. Logic is internally consistent and resolvable.
Kalshi: Logically contradictory Yes/No structure. Both possible game outcomes (Wake Forest win and NC State win) map to Yes resolution. No documented path to No resolution except implicit cancellation. Creates unresolvable ambiguity.
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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