TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 16, 5:01 PM EST
Kalshi
This event tracks the outcome of a professional soccer match between Vasco da Gama and Santos, focusing on the margin of victory for either team. The result depends on how many goals each team scores during the standard 90-minute regulation time, excluding any extra time or penalty shootouts.
The event evaluates different goal-differential scenarios in a Brazilian Serie A soccer match between Vasco da Gama and Santos. Four distinct outcomes are considered: Vasco da Gama winning by more than 2.5 goals, Vasco da Gama winning by more than 1.5 goals, Santos winning by more than 1.5 goals, and Santos winning by more than 2.5 goals. All resolutions are based solely on the final score after 90 minutes of regular play, including stoppage time, but explicitly excluding extra time or penalty phases. The event operates independently of official league affiliations, and all associated trademarks remain the property of their respective owners.
Prediction market odds in this market often differ from traditional sportsbook lines due to community-driven pricing and the inclusion of betting volumes. While sportsbooks set their lines based on analytics and risk management, prediction markets let traders collectively bet on outcomes, which can lead to sharper or more volatile pricing depending on recent performance, injuries, or other game-specific developments.
This market resolves around Aug 17, 2026, with the outcome confirmed once the match result is verifiable from credible public reporting. The spread is calculated based on the official score difference, and the market settles accordingly, reflecting the actual performance of both teams on game day.
Key moments such as player injuries, coaching changes, or recent form can shift expectations and move this market. As Aug 17, 2026 approaches, any last-minute team announcements, weather conditions, or tactical adjustments may also influence trader sentiment. High-volume betting spikes around these events often cause noticeable price swings, reflecting updated probabilities for the match outcome.