TOTAL VOLUME:
$134.1b
24H VOL:
$133,388,117
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,436,095,462
405,232
Markets across
30,526
events
MATCHED EVENTS:
2,693
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 26, 8:31 PM EST
Kalshi
This market tracks whether Clube do Remo will win their Brazilian Serie A soccer match against EC Vitória on July 26, 2026. The aggregated consensus probability for Clube do Remo to win stands at 100.0%, with EC Vitória at 0.1%. Data is aggregated from Polymarket and Kalshi, and resolved using official statistics from CBF (Confederação Brasileira de Futebol). Watch for the match conclusion on July 26, 2026, as this will determine the final outcome.
This event is for the upcoming Brazil Série A game, scheduled for Sunday, July 26, 2026 between Clube do Remo and EC Vitória.
Resolution is based on the final result of the Remo vs Vitoria Brasileiro Serie A match after 90 minutes plus stoppage time, with extra time and penalties excluded from consideration. The match outcome will be one of three possibilities: Remo victory, Vitoria victory, or a tie. If the scheduled match is cancelled or postponed to more than two weeks away, the market will resolve to a fair price in accordance with standard procedures.
Prediction markets and sportsbooks price outcomes differently. Sportsbooks set odds to balance their book and extract a margin, while prediction markets let traders directly stake capital on outcomes, with prices emerging from supply and demand. Prediction market odds often reflect sharper, more efficient pricing because traders face direct financial incentive to correct mispricings. However, sportsbooks may move faster on breaking news or injury reports. Comparing both sources can reveal valuable discrepancies and help you identify where market consensus diverges from traditional betting lines.
Polymarket and Kalshi can show different prices on this market for several reasons. 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. Each platform attracts different trader demographics, liquidity pools, and fee structures, which influence how quickly prices adjust to new information. Geographic restrictions, platform-specific rules, and variations in trading volume can also create temporary arbitrage opportunities. Additionally, one venue may have faster order flow or more active market makers, causing it to lead price discovery. These gaps typically narrow as informed traders exploit them, but they often persist due to friction costs and platform differences.
Key catalysts include team news such as injuries to star players, lineup announcements, or tactical changes that shift perceived win probability. Recent form, head-to-head records, and home-field advantage can all influence trader positioning. Weather conditions on match day and any late-breaking developments hours before kickoff often trigger sharp price moves. Social media sentiment and expert commentary may also sway retail traders. Professional bettors and syndicates typically enter closer to the match, potentially moving odds significantly as they deploy capital based on proprietary analysis.