TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 13, 8:30 PM EST
Kalshi
This group forecasts the outcome of a soccer match between CA Penarol Montevideo and Albion FC scheduled for September 13, 2026. Markets exist for Penarol winning, Albion winning, and the game ending in a draw. Resolution depends on the official result after 90 minutes plus stoppage time.
This event is for the upcoming Primera División (Uruguay) game, scheduled for Sunday, September 13, 2026 between CA Penarol Montevideo and Albion FC.
The event resolves based on the result of the Penarol vs Albion professional Uruguay Primera Division soccer match scheduled for September 13, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. If Penarol wins, the 'Penarol' market resolves to Yes; if Albion wins, the 'Albion' market resolves to Yes; and if the match ends in a tie, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to more than 48 hours beyond the original date, the markets will resolve to a fair price as determined by the platform. The platform explicitly states it is not affiliated with the governing league, and all trademarks remain the property of their respective owners.
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. Prices on Polymarket and Kalshi can diverge for several reasons. Each platform has a different user base with varying levels of expertise and access to information about the Penarol vs Albion match. Trading volume also plays a role; higher volume on one platform can lead to more efficient price discovery. Furthermore, the specific market design and fees on each platform can influence trading behavior. Polymarket and Kalshi also have different risk management approaches, which can affect how they price this market. These factors contribute to the observed differences in probabilities.