This event group covers a Best-of-3 Valorant match between Evil Geniuses Academy and Azure Dragon Gaming in the VCL North America Stage 2 Swiss Stage, scheduled for March 24, 2026 at 4:00 PM ET. Markets span match winner, map-level outcomes, map handicap, and total maps played across Kalshi and Polymarket platforms.
Kalshi and Polymarket handle forfeit/walkover scenarios differently for match winner resolution. Kalshi appears to accept any match outcome (including forfeit) as valid, while Polymarket explicitly resolves to 50-50 if the match ends in pre-match forfeit or walkover, but resolves to the winning team if forfeit occurs mid-match.
Hero Tip:
Traders should note that a pre-match forfeit (team withdraws before play begins) will likely resolve to Yes on both Kalshi markets but 50-50 on Polymarket's match winner. Mid-match forfeits are treated as completed matches on Polymarket (resolving to the winning team) and appear to resolve to Yes on Kalshi. Clarify with platforms before March 24 if a forfeit scenario occurs.
Critical Divergence Points:
Kalshi:
Both markets (Azure Dragon wins / EG.A wins) resolve to Yes if either team wins. No explicit exception for forfeit, disqualification, or walkover. Treats match completion broadly.
Polymarket:
Match winner resolves to winning team if match is completed normally or if forfeit occurs mid-match (clinching map forfeited counts as completed). Pre-match forfeit/walkover resolves to 50-50. Map handicap and total maps markets also resolve to 50-50 if match begins but is not completed due to forfeit/disqualification/walkover.
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.