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Baltimore vs Dallas: 1st Quarter Both Teams to Score
kalshi

What is the result of Baltimore vs Dallas?

Volume:
$1,061

Both teams to score in the 1st quarter

 - Kalshi

Both teams to score in the 1st quarter - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Sep 27, 2026

Closed: Sep 27, 5:13 PM EST

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Both teams to score in the 1st quarter

View
100%
47%
Yes 100¢No 0¢
100¢
N/A
$1,061
N/A
N/A
$1,022
Settled
Yes
Total markets: 1

Description

This event tracks whether Baltimore and Dallas each score in the first quarter of their football match. All scoring methods are considered, emphasizing the opening period's competitive nature and early game dynamics.

Kalshi

If Baltimore and Dallas both score points in the 1st quarter of the Baltimore vs Dallas Pro Football game originally scheduled for Sep 27, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Baltimore vs Dallas 1st quarter market displays the current price, a historical price chart, and 24-hour trading volume. Currently, volume is $1,018 and total volume for this market is $1,061. The dashboard provides a real-time view of how traders are pricing the probability of both teams scoring in the first quarter. This allows users to quickly assess market sentiment and identify potential trading opportunities related to this specific game event. The price reflects the implied probability of a 'yes' outcome.

Prediction market odds often reflect the collective wisdom of a diverse group of traders, potentially offering a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and risk management, while this market is driven by individual traders' beliefs. It’s common to see discrepancies, particularly before significant events or when public opinion strongly favors one outcome. These differences can arise from varying levels of information, analytical approaches, or simply differing risk appetites among bettors and prediction market participants. Examining both can provide a more comprehensive view of potential outcomes.

On Kalshi, this market is priced through a continuous double auction. Traders buy and sell contracts representing a 'yes' or 'no' outcome to the question of whether both teams will score in the first quarter. The price of these contracts fluctuates based on supply and demand, ultimately reflecting the market’s collective probability assessment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate and new information becomes available, the price will adjust accordingly, providing a dynamic and real-time estimate of the likelihood of the event occurring. The current price indicates the implied probability of a 'yes' outcome.

This market resolves around Sep 27, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will depend on whether both the Baltimore and Dallas teams score at least one point during the first quarter of the game. Official game statistics from a reputable sports data provider will be used to determine if both teams have scored. The final result will be based on the official game record and will be publicly available following the conclusion of the first quarter.

Several factors could influence the price of this market before resolution. Any news regarding key player injuries for either the Baltimore or Dallas teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect the game's scoring potential, could also move the market. Additionally, late-breaking news about team strategies or coaching decisions could influence trader sentiment. Finally, large volume trades on Kalshi itself can create short-term price fluctuations as traders react to new information or attempt to capitalize on perceived mispricings.