Valorant: Pixel Lumina vs VR2 (BO3) - VCL NORTH//EAST Playoffs
Volume:
$5,930
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
Trade
Description
This event group covers a Valorant Lower bracket quarterfinal 2 match between Pixel Lumina and VR2 in the VCL NORTH//EAST Playoffs, scheduled for March 6, 2026 at 11:00 AM ET, in best-of-three format. Markets span match winner, individual map winners, games total, and map handicap outcomes.
Kalshi market contains a logical contradiction (both outcomes resolve to Yes) and references tournament winner rather than match outcome, making it fundamentally incompatible with the specific match event described in Polymarket markets.
Hero Tip:
Flag Kalshi market for immediate platform review. The resolution logic is internally contradictory and cannot be settled as written. Trade only Polymarket markets until Kalshi is corrected or withdrawn.
Critical Divergence Points:
Kalshi: Market states both 'If VR2 wins... resolves to Yes' AND 'If Pixel Lumina wins... resolves to Yes', creating logical impossibility. Scope references VCL NORTH//EAST 2026 tournament winner, not the specific match. No clear binary outcome path exists.
Polymarket: Five distinct markets all reference the specific Lower bracket quarterfinal 2 match (Pixel Lumina vs VR2, March 6, 11:00 AM ET). Each has clear binary or outcome-specific resolution: match winner, map 1 winner, map 2 winner, games total (O/U 2.5), and map handicap (-1.5/+1.5). All use vlr.gg as primary source with 2-hour fallback to credible reporting.
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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