TOTAL VOLUME:

$154.2b

24H VOL:

$192,072,993

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,842,388,377

408,027

Markets across

40,419

events

MATCHED EVENTS:

4,369

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
New York J vs New England: Both Teams to Score in Every Quarter
kalshi

Will both teams score in every quarter?

Volume:
$613

Both teams to score in every quarter

 - Kalshi

Both teams to score in every quarter - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 2:53 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 to score in every quarter

View
0%
Yes 0¢No 100¢
—
N/A
$613
N/A
N/A
$501
Settled
No
Total markets: 1

Description

The event involves a professional football game between two teams, focusing on their performance throughout the match. It specifically tracks whether both teams manage to score points in each quarter of the game during regulation time. The emphasis is on consistent scoring by both participants across all quarters of the contest.

Kalshi

If New York J and New England both score points in every quarter of regulation of the New York J vs New England Pro Football game originally scheduled for Oct 18, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the NFL both teams to score market tracks the current price, price history, and 24-hour trading volume. You'll find a visual representation of how the market is moving, with data updated in real-time as traders buy and sell contracts. Currently, the total volume for this market is $613, and the 24-hour volume is $613. This allows you to gauge market sentiment and identify potential trading opportunities related to whether both teams will score in every quarter of the New York J versus New England game.

Generally, prediction market odds tend to reflect the wisdom of the crowd, often incorporating information and perspectives not immediately captured by traditional sportsbooks. While sportsbooks set initial lines based on statistical models and expert analysis, this market allows anyone to express their belief about the likelihood of both teams scoring in every quarter. Discrepancies can arise due to differing opinions, late-breaking news, or simply variations in how information is interpreted. It's common to see prediction markets offer a more nuanced view, especially as the event draws closer and more information becomes available.

On Kalshi, this market is priced through a continuous auction mechanism, where traders buy and sell contracts representing their belief in the probability of the outcome. The price of a contract directly corresponds to the implied probability of that outcome occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders participate, the price adjusts to reflect the collective assessment of the market. The current price reflects the aggregated expectations of all participants, making it a dynamic and responsive indicator of potential event outcomes. This allows for a real-time assessment of the likelihood of both teams scoring in every quarter.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the outcome will be determined by whether both the New York J and New England teams score in each of the four quarters of the game. The resolution will be based on official game statistics and verified against credible public sources. Traders will then be paid out or have their contracts adjusted based on whether their predictions aligned with the actual game results.

Several factors could influence the price of this market. Any news regarding key player injuries on either the New York J or New England teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect scoring, could also move the market. Unexpected announcements about coaching strategies or team formations might also cause shifts in trader sentiment. Finally, any significant public discussion or analysis predicting a high-scoring or low-scoring game could influence the collective assessment reflected in the market price.