TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 17, 9:11 PM EST
Kalshi
This market tracks the outcome of a Brazilian Série A soccer match between Fluminense FC and Red Bull Bragantino. Aggregating data from Polymarket and Kalshi, the consensus probability for a draw stands at 100.0%, while Red Bull Bragantino winning registers at 0.1%. Resolution will be determined by the official result from the Confederação Brasileira de Futebol following the match on July 17, 2026. Watch for any official announcements regarding match postponement or cancellation, as these could trigger alternative resolution procedures.
This event is for the upcoming Brazil Série A game, scheduled for Friday, July 17, 2026 between Fluminense FC and Red Bull Bragantino.
Resolution is based on the final result of the Fluminense vs Bragantino Brasileiro Serie A match after 90 minutes plus stoppage time, excluding extra time and penalties. Each outcome—Fluminense win, Bragantino win, or tie—resolves its corresponding market to Yes based on the match result. If the match is cancelled or rescheduled more than two weeks from the original July 17, 2026 date, the market resolves to a fair price in accordance with established rules.
Prediction markets and sportsbooks price outcomes differently because they serve different audiences and operate under distinct regulatory frameworks. Sportsbooks set odds to balance their book and manage risk, often incorporating a margin. Prediction markets like Polymarket and Kalshi rely on peer-to-peer trading, where prices emerge from direct supply and demand. This can make prediction markets more responsive to new information and less subject to house margins. However, sportsbook odds may reflect sharper professional betting syndicates, while prediction markets aggregate a broader retail consensus. Comparing both sources often yields valuable perspective on true probability.
Key catalysts include team news such as injuries to star players, lineup announcements, or tactical changes disclosed before kickoff. Recent form, head-to-head records, and any off-field controversies can shift trader sentiment. Weather conditions at the venue may influence play style and scoring expectations. Major betting syndicates entering or exiting positions can trigger sharp price moves. Social media sentiment and expert commentary often precede retail trader activity. Close to match time, late-breaking injury reports or lineup confirmations typically drive the most volatile repricing. Monitor official team social channels and sports news outlets for real-time updates that could reshape odds.