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Birmingham Legion FC vs New Mexico United: BTTS
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Will both teams score in Birmingham vs New Mexico?

Volume:
$6,917

Both Teams To Score

 - Kalshi

Both Teams To Score - Kalshi

1W

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Positive

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Vol.

·

Resolved Sep 17, 2026

Closed: Sep 16, 9:04 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
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Both Teams To Score

View
100%
31%
Yes 100¢No 0¢
100¢
N/A
$6,917
N/A
N/A
$5,315
Settled
Yes
Total markets: 1

Description

In the upcoming USL Championship match between Birmingham Legion FC and New Mexico United, this event tracks whether both teams manage to score at least one goal during the 90 minutes plus stoppage time of regular play. The outcome hinges solely on whether each team finds the back of the net within the standard match duration, excluding any extra time or penalty shootouts.

Kalshi

If Birmingham Legion FC and New Mexico United both score a goal in the Birmingham Legion FC vs New Mexico United USL Championship match originally scheduled for Sep 16, 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 Birmingham Legion vs New Mexico match tracks the current price of the 'Both Teams to Score' (BTTS) market, alongside a historical price chart showing how the market has fluctuated over time. You’ll also find the 24-hour trading volume, currently at $4,794, and the total overall volume traded, which is $6,917. This allows you to gauge market sentiment and activity related to whether both teams will score in the upcoming match. The dashboard provides a real-time view of how traders are assessing the likelihood of this outcome.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines based on statistical models and expert analysis, but may also incorporate a profit margin. This market, like others on Kalshi, allows traders to express their own informed opinions, potentially leading to odds that more accurately predict the actual event outcome. Discrepancies can arise due to differing information, biases, or simply the collective insight of prediction market participants compared to sportsbook oddsmakers. It's valuable to compare both to form a well-rounded expectation.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing the probability of 'Both Teams to Score' occurring in the Birmingham Legion vs New Mexico match. The price of a contract ranges from 0 to 100, representing a 0% to 100% 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 scoring. Conversely, increased selling of 'yes' contracts drives the price down. This dynamic pricing mechanism reflects the collective beliefs of all participants trading on the platform.

This market resolves around Sep 17, 2026, once the final result of the Birmingham Legion vs New Mexico match is known. The outcome will be determined by whether both teams score at least one goal during the match. Verification will be based on credible public reporting of the match results, such as official league websites or widely recognized sports news sources. The platform will then confirm whether the 'Both Teams to Score' outcome occurred, finalizing the market and distributing payouts to winning contract holders.

Several factors could influence the price of this market before the Sep 17, 2026 resolution. Any news regarding key player injuries or suspensions for either the Birmingham Legion or New Mexico United could significantly shift trader sentiment. Changes in weather conditions, particularly if they are expected to impact the style of play, could also play a role. Furthermore, any updates on team form, tactical changes, or even pre-match interviews with managers could all contribute to price movements as traders react to new information and adjust their predictions.