This event group covers the NBA matchup between the Indiana Pacers and Cleveland Cavaliers scheduled for April 5 at 6:00 PM ET. The market resolves based on the final outcome of the game, with the winner determined by the final score including any overtime periods.
Kalshi's moneyline market resolves YES for ANY outcome (either team winning), making it logically incoherent and unresolvable. Polymarket's markets use standard, mutually exclusive resolution criteria tied to game outcome, spread thresholds, or player statistics.
Hero Tip:
Avoid the Kalshi moneyline market entirely—it is fundamentally broken. All Polymarket markets (moneyline, spreads, totals, player props) use coherent, standard resolution logic. If trading this game, use only Polymarket.
Critical Divergence Points:
Kalshi: Outlier: Kalshi's moneyline market (questions 1–2) states 'If Cleveland wins... then the market resolves to Yes' AND 'If Indiana wins... then the market resolves to Yes,' creating a logical contradiction where the market resolves YES regardless of outcome. This renders the market unresolvable and breaks the fundamental principle that exactly one outcome should occur per game.
Polymarket: Aligned with standard sports betting logic: Polymarket's moneyline market (questions 1–2) resolves to 'Pacers' if Indiana wins and 'Cavaliers' if Cleveland wins—mutually exclusive outcomes. All other Polymarket markets (spreads, totals, player props) use coherent threshold-based or outcome-based resolution tied to official NBA box scores, with consistent tie-breaking and postponement rules.
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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