TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 3, 7:03 PM EST
Polymarket
More markets for the Brazil Serie B game, scheduled for October 3 at 3:00 PM ET.
More markets for the Brazil Serie B game, scheduled for October 3 at 3:00 PM ET.
Prediction market odds often reflect the collective wisdom of a diverse group of traders, and can sometimes differ from those offered by traditional sportsbooks. Sportsbook odds are typically set by a small team of experts, while this market relies on a larger, more decentralized pool of participants. This can lead to discrepancies, particularly when there is significant uncertainty or disagreement about the likely outcome. It's common to see prediction markets incorporate information and perspectives that sportsbooks may overlook, potentially offering a more accurate forecast.
This market resolves around Oct 3, 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 AC Goianiense vs. América FC match, as reported by a recognized sports data provider. Traders will be able to claim their winnings based on the final score and the outcome they predicted when they purchased shares in this market. The platform will verify the outcome against publicly available information to ensure accuracy and fairness.
Several factors could influence the trading activity and price movements in this market. Any news regarding player injuries, team lineups, or changes in coaching staff for either AC Goianiense or América FC could significantly impact the perceived probabilities. Unexpected weather conditions or other external factors that could affect the match’s fairness or competitiveness might also cause shifts in the market. Furthermore, major news events or public sentiment changes related to either team could also drive trading volume and price fluctuations.