TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 13, 3:34 PM EST
Kalshi
This group forecasts the outcome of a Women's Super League soccer match between Aston Villa WFC and Manchester City WFC on September 13, 2026. Markets ask whether Aston Villa will win, Manchester City will win, or the game will end in a draw, all within the standard 90 minutes of play plus stoppage time.
This event is for the upcoming Women's Super League game, scheduled for Sunday, September 13, 2026 between Aston Villa WFC and Manchester City WFC.
The event resolves based on the full-time result of the Aston Villa vs Manchester City professional English Womens Super League match scheduled for September 13, 2026. A 'Yes' outcome occurs when either team wins after 90 minutes plus stoppage time, with the specific market (Aston Villa, Manchester City, or Tie) resolving accordingly. If the match ends in a tie after regulation time, the Tie market resolves to Yes. Should the game be 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 event exclusively considers results from regular time; extra time or penalty shootouts do not affect market outcomes.
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. The prices on Polymarket and Kalshi may differ due to several factors. Each platform has its own user base, trading dynamics, and fee structures, all of which can influence price discovery. Additionally, the liquidity and volume on each platform can vary, leading to price discrepancies. For example, if there’s significantly more trading activity on Polymarket, its price may be more responsive to new information. Different interpretations of available data and varying risk appetites among traders on each platform also contribute to these differences for this market.