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 22, 10:25 PM EST
Kalshi
This market tracks who will win the Brasileiro Serie A soccer match between São Paulo FC and CA Paranaense on July 22, 2026. The aggregated consensus probability shows CA Paranaense winning at 100.0%, with São Paulo FC at 0.1%. Data comes from Polymarket and Kalshi, resolving via CBF official statistics. Watch for the final whistle on July 22, 2026, which will determine the match's official result and market resolution.
This event is for the upcoming Brazil Série A game, scheduled for Wednesday, July 22, 2026 between São Paulo FC and CA Paranaense.
This event resolves based on the final result of the Sao Paulo vs Paranaense professional Brasileiro Serie A soccer game originally scheduled for July 22, 2026, evaluated after 90 minutes of regular play plus stoppage time. Extra time and penalty shootouts are not considered. Each outcome—Sao Paulo victory, Paranaense victory, or a tie—resolves to Yes if that result occurs. If the game is cancelled or rescheduled to more than two weeks after the original date, the market will resolve to a fair price in accordance with Kalshi rules.
Prediction markets and traditional sportsbooks price events differently. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets are driven by trader supply and demand—meaning odds reflect aggregated belief rather than a bookmaker's margin. Prediction market prices often react faster to breaking news and tend to be more efficient over time because traders have direct financial incentive to correct mispricings. However, sportsbooks may offer tighter spreads on major events due to higher liquidity. Comparing both sources helps you identify value and understand how different communities assess the same outcome.
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, regulatory frameworks, and fee structures, all of which influence how prices evolve. Polymarket and Kalshi may also have different liquidity pools, causing one venue to move faster than the other in response to news. Arbitrage traders typically exploit these gaps, but temporary divergences persist due to withdrawal delays, platform-specific trading costs, and varying user bases. Monitoring both venues helps you spot mispricings and understand which platform is leading price discovery at any given moment.
Key catalysts include team injury announcements, lineup changes, and recent form updates for both sides. Weather conditions and venue factors closer to match day often trigger repricing. Betting syndicate activity and sharp money flowing into one outcome can signal informed conviction and shift odds significantly. Media narratives around playoff implications or head-to-head history may also influence trader sentiment. Social media momentum and late-breaking tactical news can cause rapid swings in the final hours before kickoff, so monitoring both platforms continuously helps you stay ahead of market moves.