This event group covers a best-of-three Valorant match between Nightblood Gaming and Pigeons in VCL North America Stage 2 Group Stage, scheduled for April 6, 2026 at 7:00 PM EDT. Markets span match winner, individual map winners, games total over/under 2.5, and map handicap outcomes.
Kalshi's Map 1 Winner market contains a logical contradiction where both possible outcomes (Nightblood Gaming wins or Pigeons wins) resolve to Yes, making the market fundamentally unresolvable. Polymarket's equivalent market uses standard binary logic.
Hero Tip:
Do not trade the Kalshi Map 1 market. The contradiction makes it impossible to determine a correct resolution. Trade Polymarket's Map 1 Winner market instead, which has proper binary resolution logic (Nightblood Gaming or Pigeons, with 50-50 fallback for incomplete maps).
Critical Divergence Points:
Kalshi:
Map 1 Winner market contains logical contradiction. Both conditions (Nightblood Gaming wins Map 1 and Pigeons wins Map 1) are stated to resolve to Yes, creating an impossible resolution scenario. Quote: 'If Nightblood Gaming wins map 1... then the market resolves to Yes. If Pigeons wins map 1... then the market resolves to Yes.'
Polymarket:
Map 1 Winner market uses standard binary logic: resolves to Nightblood Gaming if they win Map 1, resolves to Pigeons if they win Map 1, with 50-50 fallback if Map 1 is not completed. Quote: 'This market will resolve to Nightblood Gaming if Nightblood Gaming win Map 1 against Pigeons. This market will resolve to Pigeons if Pigeons win Map 1 against Nightblood Gaming.'
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.