TOTAL VOLUME:
$154.7b
24H VOL:
$279,496,801
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,923,931,766
416,910
Markets across
40,107
events
MATCHED EVENTS:
4,571
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 18, 12:45 AM EST
Polymarket
In the upcoming Brazil Série A game between São Paulo FC and CR Vasco da Gama, scheduled for October 17, 2026 at 8:00 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
In the upcoming Brazil Série A game between São Paulo FC and CR Vasco da Gama, scheduled for October 17, 2026 at 8:00 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on statistical models and expert analysis, but may also incorporate a margin for profit. This market, however, is driven by individuals willing to put their capital behind their beliefs, potentially leading to more accurate probabilities, especially as more information becomes available. Discrepancies can arise due to differing levels of information, biases, or simply varying opinions about the likelihood of each team leading at halftime.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the halftime result of the São Paulo FC versus CR Vasco da Gama match will be used to determine which outcome wins. The outcome will be based on the official result declared by the governing football league. Traders will be able to claim their winnings once the result is officially verified and reported.
Several factors could influence this market before resolution. Any news regarding key player injuries or suspensions for either São Paulo FC or CR Vasco da Gama would likely cause significant movement. Changes in team formations, tactical adjustments announced by the managers, or even weather conditions on match day could also shift expectations. Unexpected pre-match analysis from respected football commentators or shifts in public sentiment, as reflected by polls, could also impact trading activity in this market.