TOTAL VOLUME:
$154.8b
24H VOL:
$244,077,041
24H TRANSACTIONS:
2,985,204,718
OPEN INTEREST:
$1,901,278,909
407,043
Markets across
39,548
events
MATCHED EVENTS:
4,422
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 18, 7:35 PM EST
Polymarket
This event is for the upcoming Brazil Série A game, scheduled for Sunday, October 18, 2026 between Fluminense FC and Santos FC.
This event is for the upcoming Brazil Série A game, scheduled for Sunday, October 18, 2026 between Fluminense FC and Santos FC.
Typically, prediction market odds offer a different perspective than those found at traditional sportsbooks. Sportsbooks often incorporate a 'vig' or commission into their odds, which represents their profit margin. This market, however, is driven purely by the collective wisdom of traders, theoretically resulting in more accurate probabilities. It's common to see discrepancies between prediction markets and sportsbooks, especially early on, as the market absorbs information and adjusts its predictions. Analyzing these differences can reveal insights into public perception versus informed speculation.
This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Fluminense vs. Santos match, as reported by a recognized sports data provider. The market will determine whether the match ends in a win for Fluminense, a win for Santos, or a draw. Traders will then be paid out based on the final outcome and their holdings in the corresponding shares.
Several factors could influence the price movement of this market before Oct 18, 2026. News regarding player injuries, team form, or changes in coaching staff could all impact trader sentiment. Unexpected weather conditions or controversial referee decisions during the match itself could also cause significant shifts in the odds. Furthermore, any major upsets in other related matches or leagues could indirectly affect the perceived probabilities, as traders adjust their expectations based on the broader soccer landscape. Monitoring these signals is key to understanding potential market movements.