TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 8:45 PM EST
Polymarket
This event is for the upcoming Brazil Série A game, scheduled for Saturday, September 12, 2026 between Associação Chapecoense de Futebol and SC Internacional.
This event is for the upcoming Brazil Série A game, scheduled for Saturday, September 12, 2026 between Associação Chapecoense de Futebol and SC Internacional.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, and can sometimes differ from traditional sportsbook odds. Sportsbooks set their lines based on their own models and risk management, while this market is driven by individuals willing to put their capital behind their beliefs. It’s common to see discrepancies, especially when public sentiment strongly favors one outcome, or when there is significant uncertainty surrounding the event. Comparing the two can provide a broader perspective on the likely result.
This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Associação Chapecoense de Futebol versus SC Internacional match. Any official postponement or cancellation of the match will affect the resolution timeline, but the outcome will ultimately be determined by the verified final score or official result as reported by a trusted source. Traders should monitor for updates as the event approaches.
Several factors could influence trading activity in this market. Any news regarding player injuries, team form, changes in coaching staff, or even weather conditions could shift trader sentiment. Unexpected announcements related to the match schedule or venue could also cause price fluctuations. Furthermore, significant betting activity from large traders or shifts in public opinion could contribute to movements in the market price. Monitoring these signals will be key to understanding potential shifts in the probability of each outcome.