TOTAL VOLUME:

$154.4b

24H VOL:

$230,589,906

24H TRANSACTIONS:

2,984,028,936

OPEN INTEREST:

$1,885,293,300

410,482

Markets across

40,213

events

MATCHED EVENTS:

4,340

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Pittsburgh vs New Orleans
kalshi

What is the result of Pittsburgh vs New Orleans?

Volume:
$16,825,804

Pittsburgh

 - Kalshi

Pittsburgh - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 25, 2026

Closed: Oct 25, 12:35 PM EST

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Kalshi

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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

Pittsburgh

View
100%
39%
Yes 100¢No 0¢
—
N/A
$7,874,890
N/A
N/A
$4,882,508
Settled
Yes
kalshi

New Orleans

0%
39%
Yes 0¢No 100¢
—
N/A
$8,950,914
N/A
N/A
$5,079,056
Settled
No
Total markets: 2

Intro

This market tracks whether the Pittsburgh team will win their professional football game against New Orleans. Currently, Kalshi gives Pittsburgh an 87.0% probability of winning, while New Orleans is at 13.0%. The market resolves based on the outcome of the Pittsburgh vs New Orleans Pro Football game originally scheduled for Oct 25, 2026, as reported by the game’s official result. Keep a close eye on the result of the game itself on October 25, 2026, as that will determine the market’s resolution.

Kalshi

If New Orleans wins the Pittsburgh vs New Orleans Pro Football game originally scheduled for Oct 25, 2026, then the market resolves to Yes. If Pittsburgh wins 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 NFL divisional matchup tracks the current odds, price history, and 24-hour trading volume. Currently, the volume is $14,922,638 and the total volume traded on this market is $16,825,804. The dashboard visualizes how traders are pricing the likelihood of different outcomes in this contest, providing a real-time view of market sentiment. You can see how the probabilities have shifted over time and identify periods of high activity. This allows you to analyze the market's behavior and potentially identify trading opportunities related to the NFL divisional matchup.

Often, prediction market odds offer a different perspective than traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market reflects the collective wisdom of traders. Discrepancies can arise from differing information, risk assessments, or simply varying opinions about the teams involved. If there is a significant difference, it might suggest that the market believes a sportsbook has mispriced the probability of a particular outcome. Analyzing these differences can be a valuable tool for informed decision-making.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different outcomes. The price of each contract reflects the market's current assessment of the probability of that outcome occurring. As more traders participate and new information becomes available, the prices adjust accordingly. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The more a particular outcome is bought, the higher its price rises, indicating increasing confidence in its likelihood. Conversely, selling pressure drives prices down, suggesting decreasing confidence. This dynamic pricing mechanism allows the market to aggregate information efficiently.

This market resolves around Oct 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the NFL divisional matchup, as reported by official league sources. Traders will then be paid out based on whether their chosen outcome aligned with the final result. The market’s resolution is designed to be objective and transparent, relying on publicly available information to determine the winning outcome and fulfill contract obligations.

Several factors could significantly influence this market before resolution. Any news regarding key player injuries, changes in coaching strategies, or unexpected team performance in preceding games could shift trader sentiment. Major weather forecasts impacting game conditions could also play a role. Additionally, public perception and media coverage can influence trading activity, even if not directly related to on-field performance. Monitoring these signals and assessing their potential impact is crucial for understanding how the market might evolve leading up to the NFL divisional matchup.