TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

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40,213

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MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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New Orleans vs New York G: 1st Quarter Both Teams to Score
kalshi

Will both teams score in the 1st quarter?

Volume:
$340

Both teams score

 - Kalshi

Both teams score - Kalshi

1W

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Positive

Negative

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Vol.

·

Resolved Oct 18, 2026

Closed: Oct 18, 1:51 PM EST

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Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Both teams score

View
0%
Yes 0¢No 100¢
—
N/A
$340
N/A
N/A
$325
Settled
No
Total markets: 1

Description

In the New Orleans vs New York G game, this market resolves based on both teams scoring in the first quarter. Any scoring method counts, providing a quick indicator of how each team's offense and defense perform right from the start.

Kalshi

If New Orleans and New York G both score points in the 1st quarter of the New Orleans vs New York G Pro Football game originally scheduled for Oct 18, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the New Orleans vs New York game tracks the current price of the 'Yes' outcome – that both teams will score in the first quarter – as well as the 24-hour trading volume, which is currently $340. You can also view the total volume traded on this market, which stands at $340. The dashboard provides a visual history of price movements, allowing you to analyze how the market has behaved over time and gauge the evolving sentiment of traders regarding whether both teams will score in the opening quarter of this game.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines due to the influence of public opinion and specialized knowledge. Sportsbooks initially set odds to balance betting action, while this market allows traders to express their independent beliefs about the likelihood of both teams scoring in the first quarter. Over time, these markets often converge as new information becomes available, though discrepancies can persist due to differing market participants and risk appetites. It's common to see prediction markets incorporate information faster than traditional sportsbooks, especially regarding impactful events.

On Kalshi, this market is priced using a continuous double auction, meaning traders buy and sell contracts representing a 'Yes' or 'No' outcome. The price of a contract reflects the market’s probability assessment of that outcome occurring. As more traders buy 'Yes' contracts, the price increases, indicating a higher perceived chance of both teams scoring in the first quarter. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth shows the available contracts at different price points, providing insight into the liquidity and potential price impact of larger trades. Traders aim to profit by accurately predicting the outcome and capitalizing on price discrepancies.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will depend on whether both the New Orleans and New York teams score at least one point each during the first quarter of their game. Official game statistics from a recognized sports data provider will be used to determine if both teams met this condition. The final market price will reflect the actual outcome of the game, and traders holding winning contracts will receive a payout based on the final price.

Several factors could influence the price of this market before resolution. Late-breaking news regarding key player injuries for either the New Orleans or New York teams would likely have a significant impact. Changes in weather conditions, particularly if they are expected to affect scoring, could also move the market. Additionally, any shifts in public perception or expert analysis regarding the offensive capabilities of either team could drive trading activity. Finally, large volume trades on Kalshi itself can create short-term price fluctuations, reflecting the convictions of individual traders.