TOTAL VOLUME:

$154.4b

24H VOL:

$290,393,159

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2,984,640,614

OPEN INTEREST:

$1,944,100,805

420,493

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4,612

PLATFORM COVERAGE:

5

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Kalshi:

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Ferroviario vs Goias: BTTS
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Will both teams score in Ferroviario vs Goias?

Volume:
$6,054

Both Teams To Score

 - Kalshi

Both Teams To Score - Kalshi

1W

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Positive

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Vol.

·

Resolved Oct 11, 2026

Closed: Oct 11, 7:30 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
$6,054
N/A
N/A
$5,481
Settled
No
Total markets: 1

Description

This event tracks whether both Ferroviario and Goias will score at least one goal in their upcoming Brasileiro Serie B match on October 11, 2026. The outcome depends solely on whether each team manages to find the back of the net during regular time, including any added stoppage time but excluding extra time or penalty kicks.

Kalshi

If Ferroviario and Goias both score a goal in the Ferroviario vs Goias Brasileiro Serie B match originally scheduled for Oct 11, 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 Ferroviario vs Goias match tracks the current odds for both teams, along with a price history chart showing how those odds have changed over time. You can also see the 24-hour trading volume, which currently stands at $5,983, and the total volume traded to date, which is $6,054. This information allows you to gauge market sentiment and see how other traders are positioning themselves on whether both teams will score in this contest. The dashboard provides a real-time view of activity surrounding this specific event.

Typically, 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 allows anyone to trade based on their own analysis. If a large number of traders believe a sportsbook is undervaluing the chance of both teams scoring, they can buy 'yes' contracts, driving up the price and potentially signaling a mispricing. It's common to see prediction market probabilities converge towards what many consider the 'true' probability as the event approaches, though discrepancies can still occur.

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 Ferroviario vs Goias match. The price of a contract ranges from 0 to 100, representing the implied probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy 'yes' contracts, the price increases, indicating a higher perceived chance of both teams finding the net. Conversely, selling 'yes' contracts lowers the price. This dynamic pricing mechanism reflects the collective beliefs of all participants trading on Kalshi.

This market resolves around Oct 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on whether both Ferroviario and Goias score at least one goal during the match. Official match results from a reputable sports data provider will be used to determine the final outcome. The market will settle to 100 if both teams score, and 0 if either team fails to score. Traders holding 'yes' contracts will receive a payout if both teams score, while those holding 'no' contracts will receive a payout if at least one team does not.

Several factors could influence the price of this market. Late-breaking news regarding key player injuries or suspensions for either Ferroviario or Goias would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the style of play, could also move the market. Furthermore, any significant tactical adjustments announced by either team’s manager could shift expectations. Even public sentiment, reflected in social media or expert analysis, can contribute to price fluctuations as traders react to new information.