TOTAL VOLUME:
$54.6b
24H VOL:
$283,259,638
OPEN INTEREST:
$1,235,549,422
505,521
Markets across
13,661
events
MATCHED EVENTS:
1,892
PLATFORM COVERAGE:
4
Polymarket:
51%
VS.
Kalshi:
49%
VMI Keydets vs. UNCG Spartans
Volume:
$204,437
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between VMI Keydets and UNCG Spartans scheduled for March 6, 2026 at 7:30 PM ET. Markets cover moneyline (winner), point spreads at -6.5 and -7.5, and total points over/under at 154.5 and 155.5.
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline market contains a logical contradiction where both VMI win and UNCG win resolve to Yes, making the market fundamentally unresolvable. Polymarket moneyline and all spread/total markets across both platforms are logically sound.Hero Tip:
Disregard Kalshi moneyline entirely. Trade only Polymarket moneyline and the spread/total markets on both platforms. All other markets resolve based on final score including overtime, with postponements keeping markets open and full cancellations resolving 50-50.Critical Divergence Points:
- Kalshi: Moneyline market states both outcomes resolve to Yes: 'If UNC Greensboro wins...resolves to Yes' AND 'If VMI wins...resolves to Yes.' This is logically impossible and unresolvable.
- Polymarket: Moneyline market uses clear binary logic: 'If VMI Keydets win, resolve to VMI Keydets. If UNCG Spartans win, resolve to UNCG Spartans.' Mutually exclusive and resolvable.
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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