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New York J vs Tennessee: 1st New York J Touchdown
kalshi

What happens first in New York J vs Tennessee?

Volume:
$7,209

Kenyon Sadiq

 - Kalshi

Kenyon Sadiq - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 13, 2026

Closed: Sep 13, 2:50 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

Kenyon Sadiq

View
100%
95%
Yes 100¢No 0¢
100¢
N/A
$5,521
N/A
N/A
$5,447
Settled
Yes
kalshi

Breece Hall

0%
22%
Yes 0¢No 100¢
100¢
N/A
$1,131
N/A
N/A
$620
Settled
No
kalshi

Garrett Wilson

0%
12%
Yes 0¢No 100¢
100¢
N/A
$304
N/A
N/A
$304
Settled
No
kalshi

NY Jets D/ST

0%
12%
Yes 0¢No 100¢
100¢
N/A
$37
N/A
N/A
$37
Settled
No
kalshi

Braelon Allen

0%
12%
Yes 0¢No 100¢
100¢
N/A
$37
N/A
N/A
$37
Settled
No
kalshi

Jeremy Ruckert

0%
3%
Yes 0¢No 100¢
100¢
N/A
$33
N/A
N/A
$23
Settled
No
kalshi

Mason Taylor

0%
8%
Yes 0¢No 100¢
100¢
N/A
$28
N/A
N/A
$28
Settled
No
kalshi

Adonai Mitchell

0%
8%
Yes 0¢No 100¢
100¢
N/A
$28
N/A
N/A
$28
Settled
No
kalshi

Isaiah Davis

0%
5%
Yes 0¢No 100¢
100¢
N/A
$27
N/A
N/A
$27
Settled
No
kalshi

Isaiah Williams

0%
5%
Yes 0¢No 100¢
100¢
N/A
$22
N/A
N/A
$22
Settled
No
kalshi

Omar Cooper Jr.

0%
3%
Yes 0¢No 100¢
100¢
N/A
$21
N/A
N/A
$21
Settled
No
kalshi

Geno Smith

0%
3%
Yes 0¢No 100¢
100¢
N/A
$19
N/A
N/A
$19
Settled
No
Total markets: 12

Description

This event focuses on whether the New York Jets' defense will score the first touchdown in their game against the Tennessee Titans. Defensive touchdowns can result from turnovers like fumbles or interceptions returned for a score. The resolution depends exclusively on the sequence of scoring plays, with no consideration given to the offensive contributions of either team beyond the first touchdown.

Kalshi

If NY Jets D/ST scores the first touchdown for New York J in New York J vs Tennessee Pro Football game originally scheduled for Sep 13, 2026, then the market resolves to Yes.

Frequently asked questions

Prediction market odds often reflect the wisdom of the crowd, potentially differing from those set by sportsbooks. Sportsbooks establish lines based on their own models and aim to balance action on both sides, while this market aggregates the beliefs of many individual traders. It's common to see discrepancies, especially before significant events or when public perception deviates from expert analysis. Examining these differences can reveal insights into where the market believes sportsbooks may be mispricing the probability of the first New York J touchdown.

On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing a 'yes' or 'no' outcome to the question of whether the New York J will score the first touchdown. The price of these contracts fluctuates based on supply and demand, with higher prices indicating a greater perceived probability of the event occurring. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market price effectively represents the collective forecast of all participants, and can shift rapidly with new information or changing sentiment.

This market resolves around Sep 13, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on which team scores the first touchdown in the game between New York J and Tennessee. The official game results will be used to determine whether the 'yes' or 'no' outcome prevails. The resolution process is designed to be objective and transparent, relying on publicly available information to ensure a fair and accurate settlement.

Several factors could influence the price of this market before resolution. News regarding key player injuries for either team, changes in weather forecasts that might affect the game plan, or even significant shifts in public perception could all lead to price movements. Unexpected announcements about team strategies or coaching decisions could also play a role. Furthermore, large trades within Kalshi itself can create short-term volatility, as traders react to new information or adjust their positions based on evolving expectations.