TOTAL VOLUME:
$154.8b
24H VOL:
$238,896,186
24H TRANSACTIONS:
2,985,204,718
OPEN INTEREST:
$1,897,934,485
408,127
Markets across
39,552
events
MATCHED EVENTS:
4,429
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 25, 12:00 PM EST
Kalshi
This group forecasts the outcome of a Women's Super League soccer match between Liverpool LFC and London City Lionesses, scheduled for October 25, 2026. Markets exist for Liverpool winning, London City Lionesses winning, and the game ending in a draw.
This event is for the upcoming Women's Super League game, scheduled for Sunday, October 25, 2026 between Liverpool LFC and London City Lionesses.
The markets resolve based on the full-time result of the Liverpool vs London professional English Women’s Super League soccer match scheduled for October 25, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. A 'Yes' outcome applies to the specific market corresponding to the actual result—Liverpool win, London win, or tie. If the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform. The markets are independent of any official league affiliations, and all trademarks remain property of their respective owners.
Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Differences in pricing between Polymarket and Kalshi can arise from several factors. Each platform attracts a different user base with varying levels of expertise and information. Trading fees and platform-specific rules can also influence price discovery. Furthermore, the liquidity available on each platform – currently $59,177 overall – impacts how efficiently prices reflect new information. Polymarket and Kalshi may also weigh different information sources or have differing opinions on the relative strengths of the teams involved in the Liverpool vs London City match. These factors combine to create potentially distinct probabilities for the same event.