This event group covers a best-of-three Counter-Strike match between Hashiras and Imperial Academy in the European Pro League Series 6 Group D, scheduled for March 31, 2026 at 4:00 AM ET. Markets span match outcome, individual map winners, kill/round odd-even propositions, series length, and map handicap betting.
Kalshi's Map 1 market contains a logical contradiction: both possible outcomes (Imperial Academy wins OR Hashiras wins) resolve to Yes, making the market non-falsifiable and unresolvable. This is a data integrity failure that renders the market meaningless.
Hero Tip:
Disregard Kalshi's Map 1 and Map 2 winner markets—they are fundamentally broken. Focus trading activity on Polymarket's coherent map-winner markets (Map 1 Winner, Map 2 Winner, Map 3 Winner) and series-level markets (Match Winner, Games Total O/U 2.5, Map Handicap), all of which have clear binary outcomes and robust edge-case handling.
Critical Divergence Points:
Kalshi:
Two markets presented: (1) 'If Imperial Academy wins map 1... resolves Yes' AND (2) 'If Hashiras wins map 1... resolves Yes.' This creates a tautology where the market always resolves Yes regardless of actual outcome. No resolution path exists for a No outcome. This is a critical logical failure.
Polymarket:
Map 1 Winner: Resolves to 'Hashiras' if Hashiras wins, 'Imperial Academy' if Imperial Academy wins. Map 2 Winner and Map 3 Winner follow identical binary logic. All maps include 50-50 resolution for cancellation, >7 day delay, forfeit, disqualification, walkover, or series clinch. Resolution source: HLTV.org with 2-hour publication window; credible reporting consensus fallback. Remakes resolve based on remade game only.
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.