This event group covers the NBA game between the Golden State Warriors and Memphis Grizzlies scheduled for February 25, 2026 at 7:30 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 where both Memphis win and Golden State win outcomes are stated to resolve to Yes, making the market fundamentally unresolvable. All other markets across platforms are unified.
Hero Tip:
Disregard Kalshi moneyline (market ID references 1-2) as corrupted. For all other markets (spreads, totals, player props, first-half variants), resolution logic is consistent: use official NBA box score from NBA.com as the authoritative source, include all overtime periods, resolve 50-50 on full cancellation with no makeup game, and keep markets open if postponed until completion.
Critical Divergence Points:
Kalshi: Moneyline markets state: 'If Memphis wins the Golden State at Memphis professional basketball game originally scheduled for Feb 25, 2026, then the market resolves to Yes. If Golden State wins the Golden State at Memphis professional basketball game originally scheduled for Feb 25, 2026, then the market resolves to Yes.' Both outcomes cannot resolve to the same result in a binary market.
Polymarket: Moneyline market states: 'If the Warriors win, the market will resolve to Warriors. If the Grizzlies win, the market will resolve to Grizzlies.' Mutually-exclusive outcomes with clear differentiation.
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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