TOTAL VOLUME:
$154.4b
24H VOL:
$235,918,089
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,884,820,873
413,109
Markets across
40,428
events
MATCHED EVENTS:
4,364
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 02d:23h:59m
$
More markets for the Brazil Serie B game, scheduled for November 6 at 5:30 PM ET.
More markets for the Brazil Serie B game, scheduled for November 6 at 5:30 PM ET.
On Polymarket, this market is priced through a continuous auction mechanism, where traders buy and sell shares representing their belief in the outcome. The price of a share directly corresponds to the probability of that outcome occurring, as perceived by the market participants. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the price adjusts to reflect the evolving consensus. The current implied probability of the top outcome, as indicated by 99.0%, is a key indicator of market sentiment.
This market resolves around Nov 5, 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 Botafogo vs. Londrina match, as reported by a trusted sports data provider. Traders will then be able to claim their winnings or adjust their strategies for future events. It’s important to monitor the event closely as the resolution date approaches to stay informed about any potential factors that could influence the final result.
Several factors could influence trading activity in this market. Any news regarding team injuries, changes in coaching staff, or unexpected shifts in player form could significantly impact the perceived probabilities. Match previews, expert analyses, and even public sentiment expressed on social media can also play a role. Unexpected weather conditions on match day could also cause movement. Monitoring these signals and assessing their potential impact is crucial for informed trading and anticipating shifts in the market’s price.