TOTAL VOLUME:
$143.5b
24H VOL:
$195,145,316
24H TRANSACTIONS:
2,692,168,434
OPEN INTEREST:
$1,731,064,451
482,647
Markets across
36,631
events
MATCHED EVENTS:
2,924
PLATFORM COVERAGE:
5
Polymarket:
38%
VS.
Kalshi:
62%
Closed: Oct 3, 12:00 PM EST
Kalshi
This market tracks whether Brazil will win their soccer match against India on October 3, 2026. Currently, the consensus probability of Brazil winning is 100.0%, aggregating views from Kalshi, Predict, and Polymarket. Resolution will be based on official statistics of the event as recognized by the governing body or event organizers. Keep an eye on the match itself on October 3, 2026, to see if this consensus holds as the game progresses.
This event is for the upcoming FIFA International Friendlies game, scheduled for Saturday, October 3, 2026 between India and Brazil.
The market resolves based on the result of the India vs Brazil professional Intl Friendlies soccer game scheduled for Oct 3, 2026, after 90 minutes plus stoppage time. If India wins, the 'India' market resolves to Yes. If Brazil wins, the 'Brazil' market resolves to Yes. If the game ends in a tie, the 'Tie' market resolves to Yes. If the game is cancelled or rescheduled to over 48 hours away from the original date, all markets will resolve to a fair price.
This event is for the upcoming FIFA International Friendlies game, scheduled for Saturday, October 3, 2026 between India and Brazil.
Prediction market odds, like those found on Polymarket and Kalshi, often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals willing to put their capital behind their beliefs. As a result, prediction markets can sometimes be more accurate, especially when there's significant public interest and information available. Differences can also arise due to varying levels of liquidity and market participation.
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. Prices on Polymarket and Kalshi for the India vs. Brazil match can diverge due to several factors. Each platform has its own user base, trading dynamics, and fee structure, which can influence price discovery. Furthermore, the volume traded on each platform differs—Polymarket currently has a higher volume than Kalshi—leading to potential discrepancies. Different information or interpretations of available data among traders on each platform can also contribute to price variations. These differences are a natural part of a decentralized market structure.