TOTAL VOLUME:
$154.3b
24H VOL:
$228,458,490
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,879,276,037
410,833
Markets across
40,345
events
MATCHED EVENTS:
4,363
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 25, 11:55 AM EST
Kalshi
This group forecasts the outcome of a Women's Super League soccer match between Everton FC and Aston Villa WFC, scheduled for October 25, 2026. Markets exist for Everton winning, Aston Villa 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 Everton FC and Aston Villa WFC.
The markets resolve based on the full-time result of the Everton vs Aston Villa professional English Women’s Super League soccer match scheduled for October 25, 2026, after 90 minutes plus stoppage time. A win for Everton resolves the ‘Everton’ market to Yes; a win for Aston Villa resolves the ‘Aston Villa’ market to Yes; and a draw resolves the ‘Tie’ market to Yes. If the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price following Kalshi’s standard procedures. Extra time and penalty shootouts do not affect the resolution, as only the result after regular time and stoppage minutes counts. Kalshi clarifies it holds no affiliation with the governing league, 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. Prices on Polymarket and Kalshi for this market may diverge due to several factors. Each platform attracts a different user base with varying levels of expertise and access to information regarding the Everton vs. Aston Villa match. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery, potentially creating a difference. Additionally, the specific rules and fee structures of each platform can influence trading behavior and, consequently, the resulting odds. These factors contribute to the independent price formation observed across the two venues.