TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 1:07 PM EST
Polymarket
Total corners markets for the Women's Super League game between Brighton and Hove Albion WFC and Charlton Athletic, scheduled for October 4, 2026 at 9:00 AM ET.
Total corners markets for the Women's Super League game between Brighton and Hove Albion WFC and Charlton Athletic, scheduled for October 4, 2026 at 9:00 AM ET.
Generally, prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbook odds are typically set by professional oddsmakers, while this market’s odds are determined by the collective predictions of traders. Discrepancies can arise due to differing information, biases, or simply the dynamic nature of each system. It’s common to see prediction markets incorporate information more quickly than sportsbooks, especially in response to late-breaking news or changing sentiment. Comparing the two can be a useful exercise for informed decision-making.
This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final number of corners awarded during the Brighton and Hove Albion WFC vs. Charlton Athletic match will be used to determine whether the total exceeds 9.5 corners. Official match statistics from a recognized sporting data provider will serve as the basis for verifying the result. The resolution will be based on the official corner count as recorded during the game.
Several factors could influence the price of this market. Late injury news regarding key players on either Brighton or Charlton could shift expectations about the game's flow and potential for corner opportunities. Changes in weather conditions, such as strong winds, might also affect the style of play and corner count. Unexpected tactical decisions by either manager during the match could also lead to adjustments in the market. Finally, any significant pre-match analysis or public sentiment shifts could impact trading activity and, consequently, the price.