TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 3, 9:24 PM EST
Kalshi
This market tracks the competitive intensity of a League of Legends match between Maryville University and Contingent Esports, focusing on how many maps are played during the game. The number of maps indicates the back-and-forth nature of the competition, with more maps suggesting a closely contested battle. It reflects the strategic depth and performance of both teams in the match.
The event evaluates whether a specific League of Legends match between Maryville University and Contingent Esports, scheduled for September 3, 2026, will exceed a certain number of maps. Two separate criteria are established: one market resolves to Yes if more than 3.5 maps are played, indicating at least four full maps occur, while another resolves to Yes if more than 4.5 maps are played, requiring at least five maps. Both markets are based on the official result of the North American Challengers League 2026 match as scheduled. Kalshi explicitly disclaims any official affiliation with the governing league, and all trademarks remain the property of their respective owners. The resolution depends solely on the actual number of maps completed in the match.
This market resolves around Sep 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final map count will be compared against the market’s listed options, and the result will be finalized based on official event records. Timing aligns with the conclusion of the match, ensuring a clear and transparent resolution for all participants.
Injuries, strategic changes, or recent performance trends for either team can shift trader sentiment and move this market. Media coverage, expert commentary, and betting patterns on Kalshi also influence price swings. As the match approaches, any last-minute updates or changes in team lineups may cause rapid adjustments in odds, reflecting new information and altered expectations among participants.