TOTAL VOLUME:

$154.4b

24H VOL:

$235,918,089

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,884,820,873

413,109

Markets across

40,428

events

MATCHED EVENTS:

4,364

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Dallas vs Houston: 1st Quarter Both Teams to Score
kalshi

What will be the result of Dallas vs Houston?

Volume:
$10,159

Both teams score

 - Kalshi

Both teams score - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 4, 2026

Closed: Oct 4, 1:51 PM EST

kalshi

Kalshi

View
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 score

View
100%
51%
Yes 100¢No 0¢
—
N/A
$10,159
N/A
N/A
$9,769
Settled
Yes
Total markets: 1

Description

This event tracks whether Dallas and Houston both score points during the first quarter of their football game. It includes any scoring play, offering a snapshot of the teams' offensive starts and early game pressure.

Kalshi

If Dallas and Houston both score points in the 1st quarter of the Dallas vs Houston Pro Football game originally scheduled for Oct 4, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Cowboys-Texans first quarter market tracks the current price, price history, and 24-hour trading volume. Currently, volume is $10,099 and total volume is $10,159. You can see how the price of a 'Yes' outcome – meaning both teams will score in the first quarter – fluctuates in real-time as traders buy and sell contracts. The dashboard provides a visual representation of market sentiment and activity specifically for this event. It’s a key tool for understanding where traders stand on whether both teams will find the endzone early in the game.

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, while this market allows anyone to express their opinion through trading. If a significant number of traders believe a 'Yes' outcome is more likely than sportsbooks suggest, the price will move accordingly. Discrepancies can arise due to differing information, biases, or simply a wider range of participants influencing the price in this market. It's common to see prediction markets offer a more accurate forecast, especially closer to the event.

On Kalshi, this market is priced through a continuous auction mechanism where traders buy and sell contracts representing their belief about whether both the Cowboys and the Texans will score in the first quarter. The price of a contract ranges from 0 to 100, representing the probability of the 'Yes' outcome. 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 growing expectation that both teams will score. Conversely, selling 'Yes' contracts drives the price down. This dynamic pricing reflects the collective intelligence of the market participants and their evolving assessments of the game’s potential.

This market resolves around Oct 4, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will depend on whether both the Dallas Cowboys and the Houston Texans score at least one point during the first quarter of the game. Official game statistics from a trusted source will be used to determine if both teams have scored. The market will then settle based on this verified information, paying out to those who correctly predicted the outcome.

Several factors could influence the price of this market before game time. Any news regarding key player injuries for either the Cowboys or the Texans would likely have a significant impact. Changes in weather forecasts, particularly if conditions are expected to be unfavorable for passing or scoring, could also shift trader sentiment. Unexpected news about team strategies or coaching decisions might also play a role. Finally, large-volume trades by informed participants could indicate a shift in expectations and move the market price accordingly.