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 Kennesaw State Owls and UTEP Miners scheduled for March 5, 2026 at 9:00 PM ET. Markets cover moneyline (winner), point spreads at -2.5 and -3.5, and total points over/under at 147.5, 148.5, and 149.5.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline market contains a logical contradiction where both possible game outcomes (Kennesaw State win or UTEP win) are stated to resolve to Yes, making the market fundamentally unresolvable as a binary market.Hero Tip:
Avoid trading the Kalshi moneyline market until the contradiction is clarified. The spread and total markets on both platforms use consistent, resolvable logic based on final score including overtime. Focus trading activity on those markets or wait for Kalshi to correct the moneyline specification.Critical Divergence Points:
Kalshi:
Moneyline market states both outcomes resolve to Yes: 'If Kennesaw St. wins...resolves to Yes' and 'If UTEP wins...resolves to Yes'. This creates a logical impossibility for a binary market.Polymarket:
Moneyline market uses mutually exclusive outcomes: resolves to 'Kennesaw State Owls' if they win, or 'UTEP Miners' if UTEP wins. Postponement keeps market open; cancellation without 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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