TOTAL VOLUME:
$134.1b
24H VOL:
$141,541,542
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,440,096,988
406,065
Markets across
30,522
events
MATCHED EVENTS:
2,692
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 10:32 PM EST
Kalshi
This group forecasts the outcome of the Santos FC vs. Cruzeiro EC Brasileiro Serie A soccer match scheduled for September 12, 2026. Markets exist for Santos winning, Cruzeiro winning, and the game ending in a draw, all determined by the result after 90 minutes plus stoppage time.
This event is for the upcoming Brazil Série A game, scheduled for Saturday, September 12, 2026 between Santos FC and Cruzeiro EC.
The markets resolve based on the result of the Santos vs Cruzeiro professional Brasileiro Serie A soccer game scheduled for September 13, 2026, after 90 minutes plus stoppage time, excluding extra time or penalties. A 'Yes' outcome for the Santos market occurs if Santos wins the match within regulation time. Similarly, a 'Yes' outcome for the Cruzeiro market occurs if Cruzeiro wins within regulation. The Tie market resolves to 'Yes' if the game ends level after regulation time. If the match is cancelled or rescheduled to more than 48 hours beyond the original date, all markets will resolve to a fair price as determined by the platform. No outcomes consider results from extra time, penalty shootouts, or other post-regulation proceedings.
Prices for this market may diverge 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 has its own user base, trading rules, and fee structure, which can influence price discovery. Differences in liquidity – the volume of trading – can also lead to price discrepancies. Additionally, the platforms may attract different types of traders with varying levels of expertise or access to information regarding the Santos vs. Cruzeiro match. These factors contribute to the independent price formation observed across the two venues, even though they track the same underlying event.