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, 6:37 PM EST
Kalshi
This market tracks whether CR Flamengo will win their professional Brasileiro Serie A soccer game against SC Corinthians Paulista on September 13, 2026. Currently, the aggregated probability of a CR Flamengo win is 89.5%. This forecast combines data from Kalshi and Polymarket, and will resolve based on the result of the game after 90 minutes plus stoppage time, as defined by the official match outcome. Keep an eye on the game itself, scheduled for September 13, 2026, to see if Flamengo secures a victory within the standard playing time.
This event is for the upcoming Brazil Série A game, scheduled for Sunday, September 13, 2026 between CR Flamengo and SC Corinthians Paulista.
The event covers a Brazilian Serie A soccer match scheduled for September 13, 2026, between Flamengo and Corinthians. There are three possible outcomes: Flamengo win, Corinthians win, or a tie—all determined after 90 minutes of regular play plus any stoppage time, but excluding extra time or penalty shootouts. If the match ends in a tie after regular time, the 'Tie' market resolves to Yes. Should the game be cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price according to the platform's guidelines. The platform explicitly states it is not affiliated with the governing league, and all trademarks remain property of their respective owners.
Prices for the Flamengo vs. Corinthians match may differ between Polymarket and Kalshi due to several factors. 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. Each platform attracts a different user base with varying expertise and information, leading to distinct trading behaviors. Furthermore, the liquidity and trading volume can vary significantly between the two, impacting price discovery. Different fee structures on each platform can also contribute to price discrepancies. Finally, variations in market design and the types of orders allowed can influence how traders interact with this market, resulting in differing probabilities for the same outcome.