This event group covers the NBA game between the Phoenix Suns and Milwaukee Bucks scheduled for March 10, 2026 at 8:00 PM ET. Markets span full-game outcomes (moneyline, spreads, totals), first-half results, and individual player prop bets (points, rebounds, assists). The Kalshi market focuses exclusively on second-half regulation outcomes, while Polymarket markets cover full-game and first-half scenarios.
Kalshi's second-half regulation market contains a logical contradiction: all three possible outcomes (Milwaukee win, Tie, Phoenix win) resolve to Yes, making the market fundamentally unresolvable. Additionally, Kalshi's scope (second half only) diverges from Polymarket's scope (full game including overtime) for the same underlying event.
Hero Tip:
Do not trade the Kalshi second-half market due to internal logical failure. Use Polymarket for full-game outcomes (includes overtime) and first-half outcomes (halftime only). All player prop markets across both platforms resolve on full game including overtime using official NBA.com box scores.
Critical Divergence Points:
Kalshi:
Resolves on second-half regulation outcome only. Critical flaw: all three possible outcomes (Milwaukee win, Tie, Phoenix win) are stated to resolve to Yes, creating a logical contradiction that makes the market unresolvable.
Polymarket:
Full-game moneyline and spreads resolve on final score including any overtime periods. First-half markets resolve at halftime only. Player props resolve on full game including overtime. All use official NBA.com as source.
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.