Southern Indiana Screaming Eagles vs. Western Illinois Leathernecks
Volume:
$362,828
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
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Description
This event group covers a men's college basketball game between Southern Indiana Screaming Eagles and Western Illinois Leathernecks scheduled for February 19, 2026 at 8:30 PM ET. Markets span moneyline (winner), spread (-2.5 favoring Southern Indiana), and total points (138.5 and 140.5 thresholds).
Kalshi moneyline market contains a logical contradiction where both possible outcomes are stated to resolve Yes. This makes the market fundamentally unresolvable as written. Polymarket provides standard binary resolution (team name outcome).
Hero Tip:
Do not trade the Kalshi moneyline until the platform clarifies the actual resolution logic. The stated terms violate basic market logic. Polymarket's moneyline, spread, and total markets all use consistent and resolvable criteria. Spread and total markets on both platforms are aligned on thresholds and overtime inclusion.
Critical Divergence Points:
Kalshi: Moneyline markets state both outcomes resolve to Yes: 'If Western Illinois wins...resolves to Yes' AND 'If Southern Indiana wins...resolves to Yes'. This is logically impossible for a binary market and indicates a critical data error.
Polymarket: Moneyline resolves to winning team name: 'If Southern Indiana wins, resolves to Southern Indiana Screaming Eagles; If Western Illinois wins, resolves to Western Illinois Leathernecks.' Standard binary sports betting structure.
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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