This event group covers a Best-of-2 Dota 2 match between MOUZ and GamerLegion at ESL One Birmingham Group A, scheduled for March 22, 2026 at 8:00 AM ET. Markets span match outcome, individual game winners, in-game statistics (kills, barracks, Roshan, ultra kills, rampages), day/night cycle timing, and first blood.
Kalshi's match outcome market (Question 20) contains a logical contradiction: it states the market resolves to Yes for MOUZ win, Yes for Tie, and Yes for GamerLegion win, making all outcomes resolve identically. This renders the market fundamentally unresolvable. All other markets across both platforms use coherent, unified resolution logic.
Hero Tip:
Avoid the Kalshi match outcome market entirely due to logical incoherence. All game-level markets (Game 1 Winner, Game 2 Winner, in-game stats, first blood) are resolvable and unified: DotaBuff primary, 2-hour credible reporting fallback. Cancellation, >7 day delay, forfeit, or incomplete play = 50-50 unless game was completed before stoppage.
Critical Divergence Points:
Kalshi:
Match outcome market (Q20) states: 'resolves to Yes if MOUZ wins... resolves to Yes if Tie wins... resolves to Yes if GamerLegion wins.' All three mutually exclusive outcomes map to Yes, creating a logical contradiction that makes the market unresolvable.
Polymarket:
Match outcome market (Q20) uses standard binary logic: 'resolves to MOUZ if MOUZ win... resolves to GamerLegion if GamerLegion win... resolves to 50-50 if canceled, tie, or delayed >7 days.' Logically coherent and resolvable.
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.