TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 31, 4:15 PM EST
Polymarket
This event is for the upcoming League One game, scheduled for Saturday, October 31, 2026 between Stockport County FC and AFC Wimbledon.
This event is for the upcoming League One game, scheduled for Saturday, October 31, 2026 between Stockport County FC and AFC Wimbledon.
On Polymarket, this market is priced through a continuous auction mechanism. Traders buy and sell shares representing different outcomes, and the price of each share reflects the market’s current assessment of that outcome’s probability. As more traders participate, the prices adjust to reflect new information and changing expectations. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movements are driven by supply and demand; if many traders believe Stockport County FC is likely to win, they will buy shares representing that outcome, driving up its price and, consequently, its implied probability. The current volume indicates a moderate level of interest in this particular match.
This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Stockport County FC vs. AFC Wimbledon match, as reported by a recognized sports data provider. The platform will verify the result against these sources to determine the winning outcome. Traders who held shares in the correct outcome will be paid out according to the final share price at the time of resolution, while those holding shares in losing outcomes will forfeit their investment.
Several factors could influence the trading activity and price movements in this market. Any news regarding team injuries, suspensions, or changes in coaching staff could significantly impact expectations. Unexpected weather conditions on match day could also play a role, potentially favoring one team over the other. Furthermore, shifts in public sentiment, reflected in betting patterns at sportsbooks or social media discussions, can sometimes influence trading behavior. Finally, any significant performance changes by either team in their preceding matches could lead traders to reassess the probabilities and adjust their positions accordingly.