This event group covers a best-of-three League of Legends match between FALKE Esports and UCAM Esports Club in the LES Regular Season, scheduled for April 8, 2026 at 11:00 AM EDT. Markets span match outcome, individual game winners, and in-game statistics (kills, dragons, barons, inhibitors, and multi-kills across all three potential games).
Kalshi match winner markets (1-2) contain a logical tautology: both UCAM win and FALKE win conditions resolve to Yes, making the market fundamentally unresolvable. All other markets (Polymarket) use consistent binary or conditional logic tied to official gol.gg data.
Hero Tip:
Kalshi markets 1-2 are logically broken and should not be traded. Focus on Polymarket markets which use standard binary resolution (winner name or 50-50 fallback) and conditional in-game statistics tied to gol.gg official records with a 2-hour publication window.
Critical Divergence Points:
Kalshi:
Markets 1-2 state: 'If UCAM Esports Club wins... resolves to Yes' AND 'If FALKE Esports wins... resolves to Yes.' This is a logical contradiction—both outcomes cannot both resolve to Yes in a binary market. The market lacks a No outcome condition, making it unresolvable.
Polymarket:
Markets 24-27, 36-37, 46 use standard binary logic: resolve to the winning team/outcome name, or 50-50 if match is canceled, delayed beyond 7 days without completion, or incomplete with no winner. All in-game statistics markets (kills, dragons, barons, inhibitors, multi-kills) resolve based on gol.gg official data within 2 hours, with credible reporting fallback.
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.