TOTAL VOLUME:
$61.7b
24H VOL:
$229,178,007
24H TRANSACTIONS:
600,069,390
OPEN INTEREST:
$1,336,753,738
577,196
Markets across
14,485
events
MATCHED EVENTS:
4,077
PLATFORM COVERAGE:
4
Polymarket:
50%
VS.
Kalshi:
50%
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 McNeese State Cowboys and East Texas A&M Lions scheduled for February 14, 2026 at 3:30 PM ET. The market resolves based on which team wins the game, with provisions for postponement and cancellation scenarios.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi uses a binary completion-based resolution (Yes if game is played and completed by either team winning), while Polymarket uses categorical winner identification. Additionally, cancellation protocols differ between platforms.Hero Tip:
Do not assume these markets are equivalent. Kalshi Yes = game completion; Polymarket resolution = specific team victory. On Kalshi, postponement keeps the market open; on Polymarket, postponement also keeps it open but cancellation triggers 50-50 split. Confirm your directional bet matches the platform's resolution structure.Critical Divergence Points:
Kalshi:
Binary Yes resolution triggered by game completion regardless of winner. Both McNeese win and East Texas A&M win resolve to Yes. No explicit cancellation clause provided.Polymarket:
Categorical resolution: McNeese win resolves to 'McNeese State Cowboys', East Texas A&M win resolves to 'East Texas A&M Lions'. Postponement keeps market open; cancellation with no makeup resolves 50-50.
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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