TOTAL VOLUME:

$154.8b

24H VOL:

$245,601,049

24H TRANSACTIONS:

2,985,204,718

OPEN INTEREST:

$1,897,405,322

408,349

Markets across

39,583

events

MATCHED EVENTS:

4,443

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

BETA
Dashboards
Tour
All
Sports
Pittsburgh vs New Orleans: 3rd Quarter Both Teams to Score
kalshi

Will both teams score in the 3rd quarter?

Volume:
$911

Both teams score

 - Kalshi

Both teams score - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 25, 2026

Closed: Oct 25, 12:02 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
0%
Yes 0¢No 100¢
—
N/A
$911
N/A
N/A
$829
Settled
No
Total markets: 1

Description

The event determines if both Pittsburgh and New Orleans score points during the third quarter of regulation play. This tests mid-game momentum and offensive execution specifically in the third quarter, with all types of scoring plays counting toward the outcome.

Kalshi

If Pittsburgh and New Orleans both score points in the 3rd quarter of the Pittsburgh vs New Orleans Pro Football game originally scheduled for Oct 25, 2026, then the market resolves to Yes.

Frequently asked questions

On Kalshi, the dashboard for the Saints vs Steelers 3rd quarter market tracks the current price, price history, and 24-hour trading volume. Currently, the volume is $911 and the total volume traded on this market is $911. You can see how the price of a 'yes' outcome – both teams scoring in the 3rd quarter – fluctuates in real-time as traders buy and sell contracts. The dashboard provides a visual representation of market sentiment and activity, allowing you to gauge the probability of this event occurring as perceived by the crowd.

Generally, prediction market odds often reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. This market, however, is driven by individuals willing to put their capital behind their beliefs, potentially leading to more accurate probabilities, especially as the event approaches and more information becomes available. It’s common to see discrepancies, as prediction markets aren’t subject to the same constraints as sportsbooks.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing the probability of both teams scoring in the 3rd quarter of the Steelers vs Saints game. The price of a contract ranges from 0 to 100, representing the implied probability of the event occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders’ actions – buying ‘yes’ contracts or selling ‘no’ contracts – directly influence the price, creating a dynamic reflection of collective belief. The more buyers, the higher the price, and vice versa. This mechanism allows the market to aggregate information and generate a forecast.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on whether both the Pittsburgh Steelers and the New Orleans Saints score at least one point during the third quarter of their game. Official game statistics from a trusted sports data provider will be used to determine the final result. The market will then settle, and contract holders will receive payouts based on the final outcome.

Several factors could influence this market. News regarding key player injuries to either the Steelers or Saints offense – especially the quarterback or primary receiving targets – would likely have a significant impact. Changes in weather conditions, such as heavy rain or strong winds, could also affect scoring potential and move the market. Even significant shifts in public perception, driven by expert analysis or social media sentiment, could cause traders to adjust their positions, leading to price fluctuations in this market.