This event group covers a League of Legends best-of-five playoff match between Team Secret Whales and Deep Cross Gaming scheduled for February 26, 2026 at 1:00 AM ET in the LCP Playoffs. Markets span match winner, individual game winners, first blood outcomes, game totals, and handicap bets across Kalshi and Polymarket platforms.
Kalshi omits explicit resolution source for match winner, while Polymarket mandates gol.gg with conditional 2-hour fallback for Game 4 outcomes. This creates source authority asymmetry and potential timing conflicts for late-published results.
Hero Tip:
Treat gol.gg as the de facto authoritative source across all platforms. For Game 4 and First Blood Game 4 markets, monitor gol.gg publication within 2 hours of match conclusion. If gol.gg delays, Polymarket may invoke credible reporting fallback, creating temporary resolution ambiguity. Cross-reference video evidence and official LCP announcements to mitigate source delays.
Critical Divergence Points:
Kalshi:
Match winner market ("If Team Secret Whales wins the LCP 2026... then the market resolves to Yes") provides no explicit resolution source. Relies on implicit official LCP determination without specifying gol.gg or alternative authority.
Polymarket:
All markets explicitly mandate gol.gg/esports/home as primary source. Game 4 Winner and First Blood Game 4 include 2-hour fallback clause: "if https://gol.gg/esports/home has not published final results within 2 hours after the event's conclusion, a consensus of credible reporting may be used instead including video evidence."
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.