TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 26, 10:30 PM EST
Kalshi
The spread betting markets for Palmeiras vs Santos will determine if either team wins by a margin greater than the specified goal difference after 90 minutes plus stoppage time.
Markets resolve to Yes if Palmeiras wins by more than the specified goal margin, or if Santos wins by more than the specified goal margin, in the Palmeiras vs Santos professional Copa do Brasil soccer game originally scheduled for Aug 26, 2026, after 90 minutes plus stoppage time. Extra time and penalty shootout results are excluded from all calculations. Kalshi disclaims any affiliation with the governing league, and all trademarks, logos, and brand names remain the property of their respective owners.
Prediction market odds in this market often differ from traditional sportsbook lines due to the speculative nature of trader activity. While sportsbooks set lines based on analytics and risk management, prediction markets let participants bet directly on outcomes, which can lead to sharper or more volatile pricing depending on recent news, injuries, or shifting fan sentiment.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders collectively set the odds through buying and selling contracts that represent possible outcomes. The current implied probability reflects the market’s view of which team is favored to win by a certain margin. Liquidity and trader participation influence how quickly prices adjust to new information or shifts in expectation.
This market resolves around Aug 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final score will be compared to the spread line set at the start of the match, and the result will be settled based on official match records and widely accepted sports data sources.
Injuries to key players, changes in coaching strategy, or recent performance trends are strong catalysts that could shift this market. Weather conditions, referee announcements, and even early-game momentum can also influence trader sentiment. Any news that impacts the perceived likelihood of a win by a specific margin may cause rapid price adjustments before the match concludes.