TOTAL VOLUME:
$53.9b
24H VOL:
$231,847,320
OPEN INTEREST:
$1,314,157,835
499,417
Markets across
14,310
events
MATCHED EVENTS:
1,754
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
George Mason Patriots vs. VCU Rams
Volume:
$492,439
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 George Mason Patriots and VCU Rams scheduled for March 3, 2026 at 7:00 PM ET at VCU. Markets span moneyline (winner), point spreads at -10.5 and -11.5, and total points over/under 147.5.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline market contains a logical contradiction where both possible game outcomes (George Mason win and VCU win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable and creating data integrity failure.Hero Tip:
Avoid trading the Kalshi moneyline market until the platform corrects the resolution logic. The Polymarket moneyline is the reliable source for winner determination. Spread and total markets are consistent across both platforms and safe to trade.Critical Divergence Points:
- Kalshi: Moneyline market contains logical contradiction: 'If George Mason wins the game... resolves to Yes' and 'If VCU wins the game... resolves to Yes' - both outcomes cannot both resolve to Yes in a binary market. This is a data integrity failure.
- Polymarket: Moneyline market uses categorical resolution: resolves to 'George Mason Patriots' if George Mason wins, or 'VCU Rams' if VCU wins. Cancellation with no makeup resolves 50-50. This is logically sound.
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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