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DC United vs New York City: BTTS
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What is the result of DC United vs New York City?

Oct 31, 2026, 5:06 PM EST - Nov 7, 2026, 8:00 PM EST
Total volume:
$0
Volume 24h:
N/AN/A
Liquidity:
N/AN/A
Open interest:
$0N/A

Both Teams To Score

 - Kalshi

Both Teams To Score - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolves Nov 7, 2026

Time left: 05d:04h:23m

Both Teams To Score

64%chance
Amount

$

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Join Kalshi and score $25 for your first trade.At 64¢ buys you 156 shares | Odds: 0% Total Payout: $156 | Net Profit: $56 Multiplier: 1.56x | ROI: 56% APY not meaningful 5 days to resolution
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Outcome
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Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
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Result
kalshi

Both Teams To Score

Trade
N/A
N/A
4¢
N/A
N/A
N/A
N/A
N/A
5d 4h 23m
Active
Total markets: 1

Description

DC United and New York City will face off in a soccer match. The question is whether both teams will manage to score goals during the normal duration of the game, highlighting their attacking effectiveness.

Kalshi

If DC United and New York City both score a goal in the DC United vs New York City MLS match originally scheduled for Nov 7, 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 DC United vs NYCFC match tracks the current price of the 'Both Teams To Score' market, along with a historical price chart showing how the market has fluctuated over time. You can also see the 24-hour trading volume, currently at $0, and the total volume traded to date, which is $0. This allows you to gauge market sentiment and activity surrounding whether both teams will score in the match. The dashboard provides a real-time view of how traders are assessing the likelihood of this outcome.

Generally, prediction market odds reflect the wisdom of the crowd, often diverging from initial sportsbook lines as more information becomes available and traders exchange views. Sportsbooks set initial odds based on statistical models and expert analysis, but can be influenced by biases or attempts to balance their book. This market, like others, may show a different probability than those offered by traditional sportsbooks, especially as the event approaches and more participants contribute to the price. It's common to see prediction markets more accurately forecast outcomes, incorporating a broader range of perspectives.

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 DC United vs NYCFC match. As more people buy contracts, the price increases, indicating a higher perceived probability, and vice versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price reflects the collective belief of all participants, creating a dynamic and responsive market. The current price represents the cost to buy a contract that pays out if both teams score during the match.

This market resolves around Nov 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether both DC United and New York City FC score at least one goal during the scheduled match. Official match data will be used to determine if both teams found the back of the net. The outcome is based on the final scoreline, and any potential overtime or penalty shootouts will not be considered for this specific market.

Several factors could influence the price of this market. News regarding key player injuries or suspensions for either DC United or NYCFC would likely have a significant impact. Changes in team form, such as a recent winning or losing streak, could also shift expectations. Weather conditions on match day, particularly if they are expected to be adverse, might affect the likelihood of goals being scored. Even public sentiment and betting patterns observed elsewhere could contribute to price movements in this market, as traders react to new information and adjust their predictions.