This event group covers a League of Legends Best-of-One match between G2 NORD and ROSSMANN Centaurs in the Prime League 1st Division Regular Season, scheduled for April 15, 2026 at 3:00 PM EDT. The group includes markets for match winner and multiple in-game statistics (Baron/Dragon/Inhibitor destruction, multi-kills, and kill parity).
Kalshi's match winner market contains a logical contradiction: both possible outcomes (ROSSMANN wins OR G2 NORD wins) are mapped to the same resolution (Yes), making the market fundamentally unresolvable. Polymarket provides coherent conditional logic with proper tie and cancellation handling.
Hero Tip:
Do not trade the Kalshi match winner market as written—it is logically incoherent. Use Polymarket's framework (winner resolves to team name; 50-50 for cancellation/forfeit/delay >7 days/tie) as the de facto standard. All in-game stat markets are consistent and resolvable across both platforms.
Critical Divergence Points:
Kalshi:
Match winner logic is contradictory. States: 'If ROSSMANN Centaurs wins... resolves to Yes' AND 'If G2 NORD wins... resolves to Yes'. Both outcomes map to identical resolution, making the market unresolvable. No explicit handling of cancellation, tie, or forfeit scenarios.
Polymarket:
Match winner resolves to team name: 'G2 NORD' if G2 NORD wins; 'ROSSMANN Centaurs' if ROSSMANN Centaurs wins. Explicit 50-50 fallback for cancellation, tie, delay >7 days without winner, forfeit, disqualification, or walkover. Forfeit/disqualification before start = 50-50; forfeit during match with winner determined = resolves to winner.
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.