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 a men's college basketball game between BYU Cougars and Cincinnati Bearcats scheduled for March 3, 2026 at Cincinnati. Markets include moneyline winner, point spread outcomes at -1.5 and -2.5, and total points over/under at 151.5 and 152.5.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline market contains a logical contradiction where both BYU win and Cincinnati win resolve to Yes, making the market fundamentally unresolvable. Polymarket provides coherent binary resolution logic.Hero Tip:
Do not trade the Kalshi moneyline market as written—it cannot be settled. Use Polymarket moneyline as the reliable source. For all markets, note that postponement keeps markets open until completion, while outright cancellation triggers 50-50 resolution on Polymarket.Critical Divergence Points:
Kalshi:
Moneyline market states both outcomes resolve to Yes: 'If BYU wins...resolves to Yes' and 'If Cincinnati wins...resolves to Yes'. This is a logical contradiction that makes settlement impossible.Polymarket:
Moneyline resolves to 'BYU Cougars' if BYU wins or 'Cincinnati Bearcats' if Cincinnati wins. Spread and total markets include explicit postponement (remain open) and cancellation (50-50) provisions.
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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