TOTAL VOLUME:

$154.5b

24H VOL:

$271,200,656

24H TRANSACTIONS:

2,984,640,614

OPEN INTEREST:

$1,922,627,141

420,368

Markets across

40,352

events

MATCHED EVENTS:

4,484

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Sao Paulo vs Vasco da Gama: BTTS
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Will both teams score?

Volume:
$11,870

Both Teams To Score

 - Kalshi

Both Teams To Score - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 17, 2026

Closed: Oct 17, 10:02 PM EST

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Outcome
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Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Both Teams To Score

View
0%
Yes 0¢No 100¢
—
N/A
$11,870
N/A
N/A
$5,693
Settled
No
Total markets: 1

Description

The match features two teams competing in a professional football league. The outcome depends on whether both teams manage to score during the regular 90 minutes plus any stoppage time added at the end of the match. This determines the resolution of certain conditions tied to their performance in the game.

Kalshi

If Sao Paulo and Vasco da Gama both score a goal in the Sao Paulo vs Vasco da Gama Brasileiro Serie A match originally scheduled for Oct 17, 2026 after 90 minutes plus stoppage time (does not include extra time or penalties), then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Sao Paulo vs Vasco da Gama match tracks the current odds for both teams, along with a price history showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $9,690, and the total volume traded to date, which is $11,870. This provides a real-time view of how PredictionHero users are assessing the likelihood of both teams scoring in the match. The dashboard is designed to give you a clear understanding of market sentiment.

Generally, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook offerings. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market aggregates the diverse perspectives of many individual traders. If a significant number of people believe a sportsbook has mispriced the probability of both teams scoring, the odds here will adjust accordingly. It’s common to see prediction markets outperform traditional sportsbooks, especially as more information becomes available closer to the event.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of both teams scoring in the Sao Paulo vs Vasco da Gama match. The price of a contract directly reflects the market's assessment of that probability; a higher price indicates a greater perceived chance of the event occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their bids and asks based on new information and their own analysis, leading to dynamic price movements. The current market price is determined by the highest bid and lowest ask at any given moment.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether both Sao Paulo and Vasco da Gama score at least one goal during the match. Official match data will be used to determine if both teams found the back of the net. The final result will be based on the official scoreline reported by recognized sports authorities. Traders will then be settled based on whether their contracts align with the confirmed outcome.

Several factors could influence the price of this market. Any news regarding key player injuries or suspensions for either Sao Paulo or Vasco da Gama would likely cause significant movement. Changes in team form, tactical adjustments, or even weather conditions could also impact trader sentiment. Unexpected lineup announcements or pre-match analysis suggesting a shift in strategy could also play a role. Furthermore, any major upsets in other matches involving these teams could influence perceptions of their overall capabilities and affect the market.