A college basketball game between Radford Highlanders and Longwood Lancers scheduled for February 28, 2026 at 3:00 PM ET. Markets cover moneyline (winner), point spreads, and over/under totals across Polymarket and Kalshi platforms.
Kalshi market structure resolves to Yes for any game outcome (either team winning), while Polymarket markets require directional outcome determination. This creates a scope mismatch: Kalshi appears to be a game-completion market, not a winner-selection market.
Hero Tip:
Treat Kalshi as a binary game-completion indicator rather than a directional bet. Verify with Kalshi whether the market should resolve No if the game is canceled or postponed. Polymarket moneyline, spread, and total markets are internally consistent and can be cross-hedged with each other, but cannot be directly hedged against Kalshi without clarification of Kalshi's true resolution intent.
Critical Divergence Points:
Polymarket: Five directional markets: moneyline (winner), two spreads (Radford -1.5 and Longwood -1.5), and two over/unders (153.5 and 155.5). All require specific score outcomes. Moneyline resolves to named winner; spreads resolve based on margin; totals resolve based on combined points. All resolve 50-50 if game is canceled with no makeup.
Kalshi: Single binary market: resolves Yes if Longwood wins OR if Radford wins. No explicit handling of cancellation, postponement, or makeup game scenarios. Logically, this resolves Yes for any completed game outcome, making it a game-completion market rather than a directional bet.
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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