Cleveland State Vikings vs. Youngstown State Penguins
Volume:
$1,601,231
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
A men's college basketball game between Cleveland State Vikings and Youngstown State Penguins scheduled for February 18, 2026 at 6:30 PM ET. Markets cover moneyline (winner), spread outcomes at -10.5 and -11.5 points, and total points over/under at 156.5 and 157.5.
Kalshi's moneyline markets contain a logical contradiction where both possible game outcomes (Youngstown St. win and Cleveland St. win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable. Polymarket's markets are logically sound.
Hero Tip:
Do not trade Kalshi's moneyline market - it cannot be resolved. Use Polymarket for all moneyline, spread, and total markets. All derivative markets (spreads, totals) across both platforms share consistent edge-case handling: postponements keep markets open; full cancellations resolve 50-50.
Critical Divergence Points:
Kalshi: Moneyline markets contain logical contradiction. Both outcomes map to Yes: 'If Youngstown St. wins... resolves to Yes' and 'If Cleveland St. wins... resolves to Yes'. This creates an impossible resolution state.
Polymarket: Moneyline resolves to winner name (Cleveland State Vikings or Youngstown State Penguins). Spread markets (-10.5, -11.5) resolve based on margin thresholds. Total markets (O/U 156.5, 157.5) resolve based on combined points. All markets: postponement keeps 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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