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 11, 1:34 PM EST
Kalshi
This group forecasts the total number of corner kicks taken in the Liverpool vs. Manchester City Premier League match on October 11, 2026. Markets are structured as Over/Under bets on specific corner totals.
The event resolves based on whether Liverpool and Manchester City collectively achieve a specified minimum number of corner kicks across all phases of their EPL match scheduled for October 11, 2026. Each market defines a different threshold—from eight to twelve or more corners—for a 'Yes' outcome. All corners awarded during regulation time, stoppage time, and any extra time periods are included in the calculation. Regardless of the specific threshold market, the underlying condition remains consistent: the combined corner count must meet or exceed the market's defined minimum for resolution. Kalshi explicitly disclaims any official affiliation with the governing league, and all related trademarks remain the property of their respective owners.
Total corners markets for the Premier League game between Liverpool FC and Manchester City FC, scheduled for October 11, 2026 at 11:30 AM ET.
Prices on Kalshi and Predict can diverge due to several factors. Each platform has its own user base with varying levels of expertise and information, leading to differing opinions on the likely outcome of the Liverpool versus Manchester City match and the total corners scored. Kalshi 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. Additionally, trading volume and liquidity can vary between the two platforms, influencing price discovery. Different fee structures or platform-specific rules may also contribute to price discrepancies. These variations are normal and reflect the independent nature of these prediction markets.