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Dallas vs New York G: Player Longest Rush
kalshi

What is the result of Dallas vs New York G?

Volume:
$5,294

Dak Prescott: over 7.5 yards

 - Kalshi

Dak Prescott: over 7.5 yards - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 14, 2026

Closed: Sep 13, 11:35 PM EST

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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

Dak Prescott: over 7.5 yards

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,951
N/A
N/A
$1,259
Settled
Yes
kalshi

Jaxson Dart: over 12.5 yards

100%
Yes 100¢No 0¢
100¢
N/A
$990
N/A
N/A
$888
Settled
Yes
kalshi

Cam Skattebo: over 12.5 yards

100%
Yes 100¢No 0¢
100¢
N/A
$765
N/A
N/A
$559
Settled
Yes
kalshi

Javonte Williams: over 15.5 yards

0%
Yes 0¢No 100¢
100¢
N/A
$1,588
N/A
N/A
$1,348
Settled
No
Total markets: 4

Description

In the upcoming Dallas vs New York Giants football game, Cam Skattebo and Javonte Williams will aim for significant rushing plays. Each player's longest run will be measured, with specific thresholds determining the outcome.

Kalshi

The markets resolve based on whether Cam Skattebo records a longest rush exceeding 12.5 yards or Javonte Williams records a longest rush exceeding 15.5 yards in the specified game. If either player is active but never takes a snap, the market settles at the fair market price before kickoff. Once a player takes at least one snap, even if nullified by penalty, the market resolves according to the longest rush recorded during the game. Kalshi disclaims any official affiliation with the governing league, and all trademarks remain property of their respective owners.

Frequently asked questions

On Kalshi, the dashboard for the NFL rushing yards market tracks the current prices for each player to have the longest rush in the game, the 24-hour trading volume of $5,182, and the total overall volume traded to date of $5,294. You can also see a price history chart to understand how the market has moved over time. This allows traders to gauge sentiment and identify potential opportunities based on how others are valuing each player’s chances. The dashboard provides a real-time view of how the crowd is predicting the outcome of this event.

Typically, prediction market odds reflect the wisdom of the crowd, often differing from initial sportsbook lines which are set by oddsmakers. Sportsbooks may incorporate biases or react quickly to news, while this market aggregates the opinions of many individual traders. As more information becomes available – such as injury reports or weather forecasts – both sets of odds will adjust. However, prediction markets often become more accurate closer to the event, as the collective intelligence of traders refines the probabilities. It's common to see this market and sportsbook odds converge as the game approaches.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing each player, and the price of each contract reflects the probability of that player having the longest rush. As more people buy a contract, the price increases, indicating higher confidence in that outcome. Conversely, selling pressure lowers the price. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market depth and trading activity provide insights into how strongly traders feel about each player’s potential performance. The current prices are driven entirely by supply and demand from users trading on Kalshi.

This market resolves around Sep 14, 2026, following the conclusion of the Dallas versus New York game. The outcome will be determined by which player records the longest single rushing attempt during the game, as verified against credible public reporting. Official NFL game statistics will be used to confirm the longest rush, and the corresponding contract on Kalshi will pay out to holders of that player’s contract. The resolution process is designed to be transparent and based on objective data from the official game results.

Several factors could significantly impact this market. Any news regarding player injuries, particularly to key running backs on either team, would likely cause substantial shifts in the odds. Changes in weather conditions, such as heavy rain or snow, could favor a different running style and influence which player is expected to perform best. Unexpected coaching decisions regarding play-calling or personnel could also move the market. Finally, any late-breaking news about player matchups or defensive strategies could lead to traders adjusting their positions and altering the prices on Kalshi.