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
A men's college basketball game between the Seattle Redhawks and Pepperdine Waves scheduled for February 25, 2026 at 9:00 PM ET. Markets cover moneyline (winner), multiple point spreads (-5.5, -6.5, -7.5), and total points over/under (145.5, 146.5).
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi's moneyline market contains a logical contradiction where both Seattle win and Pepperdine win resolve to Yes, making the market fundamentally unresolvable. Polymarket's moneyline correctly distinguishes outcomes.Hero Tip:
Do not trade the Kalshi moneyline—it is unresolvable due to contradictory logic. Use Polymarket's moneyline market instead. All spread and total markets (Polymarket) are internally consistent and should resolve correctly based on final score including overtime.Critical Divergence Points:
Kalshi:
Moneyline market states: 'If Pepperdine wins...resolves to Yes' AND 'If Seattle wins...resolves to Yes.' Both mutually exclusive outcomes map to the same resolution (Yes), creating a logical impossibility.Polymarket:
Moneyline market correctly states: 'If Seattle Redhawks win, resolve to Seattle Redhawks. If Pepperdine Waves win, resolve to Pepperdine Waves.' Outcomes are properly distinguished.
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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