TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 11, 1:56 PM EST
Polymarket
This market tracks the outcome of the Liverpool FC versus Manchester City FC Premier League match scheduled for October 11, 2026, asking which team will win. Currently, the consensus probability of Manchester City FC winning is 98.7%. This aggregate reflects views from Predict and Polymarket, and will resolve based on official statistics of the event as recognized by the Premier League. Keep an eye on the match itself on October 11, 2026, as the final whistle will determine the outcome and settle this market.
This event is for the upcoming Premier League game, scheduled for Sunday, October 11, 2026 between Liverpool FC and Manchester City FC.
This event is for the upcoming Premier League game, scheduled for Sunday, October 11, 2026 between Liverpool FC and Manchester City FC.
Prices for this market may vary between Polymarket and Predict due to a number of factors. Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform has its own user base, trading incentives, and liquidity, which can influence price discovery. Additionally, different platforms may have varying levels of information available to traders, or differing opinions on the relative importance of certain factors affecting the outcome. The volume of trading also plays a role; Polymarket has seen a volume of $4,492,762 so far, while Predict’s volume is different. These dynamics contribute to the observed price discrepancies.
Several factors could significantly shift the probabilities in this market. Any news regarding key player injuries or suspensions for either Liverpool or Manchester City would likely have a substantial impact. Unexpected changes in team form, tactical adjustments announced by the managers, or even weather forecasts predicting adverse conditions could all influence trader sentiment. Major upsets in other matches involving these teams leading up to the event could also affect predictions. Monitoring these signals will be crucial for understanding potential price movements in this market.