This event group covers a college basketball game between the Utah Utes and West Virginia Mountaineers scheduled for February 18, 2026 at 8:30 PM ET. Markets span multiple resolution scopes: first-half outcomes (Kalshi), full-game winner (Polymarket), point spread, and over/under totals at three different thresholds.
Scope divergence: Kalshi resolves on first-half regulation outcomes only, while Polymarket resolves on full-game final scores including overtime. These are distinct settlement events, not contradictory rules for the same event.
Hero Tip:
Treat Kalshi and Polymarket markets as separate products. A first-half tie on Kalshi does not predict or contradict a Polymarket full-game winner. Use them for different trading strategies: Kalshi for in-game momentum plays, Polymarket for season/tournament positioning.
Critical Divergence Points:
Kalshi: Resolves on first-half regulation time outcomes only. All three possible outcomes (Tie, West Virginia win, Utah win) resolve to Yes. No mention of full-game or overtime. Key Quote: 'If Tie is the result of the first half of regulation time in the Utah vs West Virginia men's college basketball game originally scheduled for Feb 18, 2026, then the market resolves to Yes.'
Polymarket: Resolves on full-game final score including overtime periods. Moneyline winner determined by final score; spread determined by final margin; totals determined by combined final points. Postponement keeps market open; cancellation with no makeup resolves 50-50. Key Quote: 'The result will be determined based on the final score including any overtime periods.'
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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