This event group covers the NBA game between the Dallas Mavericks and Indiana Pacers scheduled for February 22, 2026 at 5:00 PM ET. Markets span moneyline, spreads, totals, player props (points, rebounds, assists), and first-half variants across Kalshi and Polymarket platforms.
Kalshi moneyline market contains a logical contradiction: both Indiana win and Dallas win conditions resolve to Yes, making the market fundamentally unresolvable. Polymarket markets are logically consistent and use standard NBA settlement conventions.
Hero Tip:
Do not trade the Kalshi moneyline. Rely exclusively on Polymarket moneyline, spreads, and totals for settlement reference. All player props and totals across both platforms should resolve based on the official NBA.com final box score, which is the consensus source.
Critical Divergence Points:
Kalshi: Moneyline states: 'If Indiana wins the Dallas at Indiana professional basketball game originally scheduled for Feb 22, 2026, then the market resolves to Yes. If Dallas wins the Dallas at Indiana professional basketball game originally scheduled for Feb 22, 2026, then the market resolves to Yes.' This creates a logical impossibility where every outcome resolves Yes.
Polymarket: Moneyline resolves to 'Mavericks' if Mavericks win or 'Pacers' if Pacers win, with 50-50 resolution only if game is canceled with no makeup. Spreads require specific point differentials (e.g., Mavericks -3.5 requires 4+ point win). Totals use standard threshold logic (e.g., O/U 234.5 resolves Over if combined score is 235+). All markets reference official NBA.com final box score.
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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