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%
Elon Phoenix vs. Towson Tigers
Volume:
$247,958
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 Elon Phoenix and Towson Tigers scheduled for February 26, 2026 at 7:00 PM ET. Markets include moneyline (winner), spread (-5.5 Towson), and two over/under totals (143.5 and 144.5).
PredictionHero - Resolution Divergence Alerts (RDA)
Divergence Detected
Issue:
Kalshi moneyline markets contain a logical contradiction where both Towson victory and Elon victory are mapped to Yes resolution, making the market fundamentally unresolvable. Polymarket moneyline uses standard mutually-exclusive outcomes.Hero Tip:
Do not trade Kalshi moneyline markets for this event - they are logically broken. Use Polymarket moneyline as the reliable settlement source. Spread and over/under markets are consistent across platforms and safe to trade.Critical Divergence Points:
- Kalshi: Moneyline markets resolve to Yes for both Towson win and Elon win outcomes. Quote: 'If Towson wins...resolves to Yes' and 'If Elon wins...resolves to Yes'. This creates a logical impossibility.
- Polymarket: Moneyline resolves to 'Elon Phoenix' if Elon wins or 'Towson Tigers' if Towson wins. Quote: 'the market will resolve to Elon Phoenix' or 'the market will resolve to Towson Tigers'. Standard binary resolution with clear mutual exclusivity.
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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