TOTAL VOLUME:

$154.3b

24H VOL:

$228,458,490

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2,984,028,936

OPEN INTEREST:

$1,879,276,037

410,833

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PLATFORM COVERAGE:

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Salt Lake vs San Jose: BTTS
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Will both Salt Lake and San Jose score?

Volume:
$43,554

Both Teams To Score

 - Kalshi

Both Teams To Score - Kalshi

1W

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Positive

Negative

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Vol.

·

Resolved Oct 14, 2026

Closed: Oct 14, 11:35 PM EST

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

Both Teams To Score

View
100%
Yes 100¢No 0¢
—
N/A
$43,554
N/A
N/A
$20,505
Settled
Yes
Total markets: 1

Description

This event tracks whether both Salt Lake and San Jose will score at least one goal in their scheduled MLS match on October 14, 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 Salt Lake and San Jose both score a goal in the Salt Lake vs San Jose MLS match originally scheduled for Oct 14, 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 Salt Lake vs San Jose match tracks the current price of the 'Both Teams to Score' (BTTS) market, along with a historical price chart. You can also view the 24-hour trading volume, which currently stands at $40,065, and the total volume traded to date, which is $43,554. This provides a clear picture of market activity and how traders are positioning themselves on whether both Salt Lake and San Jose will find the back of the net during their upcoming contest. The dashboard is your central hub for monitoring this specific prediction market.

Generally, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines. Sportsbooks set odds based on their own models and aim to balance action on both sides, while this market allows anyone to trade based on their own information and beliefs. This can lead to prediction market prices being more accurate, especially as the event approaches and more information becomes available. It’s common to see discrepancies, with this market potentially offering a different perspective on the probability of both teams scoring compared to traditional sportsbooks.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing the probability of 'Both Teams to Score' occurring in the Salt Lake vs San Jose match. As more people buy contracts, the price increases, indicating a higher perceived probability. Conversely, selling contracts drives the price down. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current price reflects the collective assessment of all traders on Kalshi, and it fluctuates based on supply and demand. This dynamic pricing mechanism allows the market to quickly incorporate new information and adjust expectations.

This market resolves around Oct 15, 2026, following the conclusion of the Salt Lake vs San Jose match. The outcome will be determined by whether both teams score at least one goal during the game. The result will be verified against credible public reporting of the match statistics. Traders holding contracts representing 'Yes' (both teams score) will receive a payout if this occurs, while those holding 'No' contracts will receive a payout if one or both teams fail to score. The final outcome is based on official match data.

Several factors could influence the price of this market. Any news regarding key player injuries or suspensions for either Salt Lake or San Jose would likely have a significant impact. Changes in team form, such as a recent scoring spree or defensive struggles, could also shift trader sentiment. Even weather conditions on match day, potentially affecting the style of play, could play a role. Unexpected lineup announcements or tactical changes revealed before kickoff could also cause movement in this market, as traders react to new information and adjust their predictions.