TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 22, 11:50 AM EST
Polymarket
This event group covers the outcome of the Birmingham City FC vs. Bristol City FC match scheduled for August 22, 2026, including win conditions, draw conditions, and specific goal margin thresholds.
This event is for the upcoming EFL Championship game, scheduled for Saturday, August 22, 2026 between Birmingham City FC and Bristol City FC.
The event evaluates different winning margins in the Birmingham vs Bristol City EFL Championship soccer match scheduled for August 22, 2026. Four distinct outcomes are considered: Birmingham winning by more than 2.5 goals, Birmingham winning by more than 1.5 goals, Bristol City winning by more than 1.5 goals, and Bristol City winning by more than 2.5 goals. All resolutions are based exclusively on the final score after 90 minutes plus stoppage time, with no consideration for extra time or penalty phases. Each primary rule defines a specific threshold for goal-differential victory, and the market resolves to 'Yes' only if the actual result meets the corresponding condition. The secondary rules clarify that the platform hosting these markets has no official affiliation with the governing league, and all related trademarks remain property of their respective owners.
On Polymarket and Kalshi, prices can vary because of differences in user bases, trading volume, and market design. 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. For example, one platform might attract more international traders, skewing its odds based on varied access to information or regional sentiment. Additionally, liquidity differences can amplify price swings, especially in lower-volume markets such as this one, where a few large trades can shift probabilities noticeably.