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Cleveland vs New York J: Passing Attempts
kalshi

What is the result of Cleveland vs New York J?

Volume:
$30,362

Deshaun Watson: 32+

 - Kalshi

Deshaun Watson: 32+ - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Oct 11, 2026

Closed: Oct 11, 4:38 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

Deshaun Watson: 32+

View
100%
56%
Yes 100¢No 0¢
—
N/A
$14,492
N/A
N/A
$14,374
Settled
Yes
kalshi

Geno Smith: 27+

100%
Yes 100¢No 0¢
—
N/A
$2,442
N/A
N/A
$2,224
Settled
Yes
kalshi

Deshaun Watson: 27+

100%
Yes 100¢No 0¢
—
N/A
$1,454
N/A
N/A
$1,454
Settled
Yes
kalshi

Geno Smith: 32+

0%
44%
Yes 0¢No 100¢
—
N/A
$11,703
N/A
N/A
$9,216
Settled
No
kalshi

Geno Smith: 37+

0%
Yes 0¢No 100¢
—
N/A
$152
N/A
N/A
$152
Settled
No
kalshi

Deshaun Watson: 37+

0%
Yes 0¢No 100¢
—
N/A
$119
N/A
N/A
$119
Settled
No
Total markets: 6

Description

This event tracks quarterback performance in a specific football game, focusing on how often they attempt passes. It allows participants to speculate on whether a player will meet certain thresholds of offensive activity during the match.

Kalshi

All markets resolve based on the total number of passing attempts recorded by the named quarterback in the Cleveland vs New York J Pro Football game scheduled for Oct 11, 2026. For each market, if the specified player records the stated number of passing attempts or more, the market resolves to Yes; otherwise, it resolves to No. If a quarterback is active but never takes a snap, the market settles to the fair market price determined before the game starts. Once a quarterback takes at least one snap—even if the play is nullified by a penalty—the market settles based on the actual passing attempts recorded during the game. These rules apply uniformly across all markets for both Geno Smith and Deshaun Watson at various attempt thresholds (27+, 32+, and 37+).

Frequently asked questions

Typically, prediction market odds reflect the wisdom of the crowd, often incorporating information and analysis beyond what’s readily available in traditional sportsbook lines. While sportsbooks set initial lines based on statistical models and expert opinions, this market allows anyone to trade based on their own insights, leading to potentially more accurate probabilities as the event approaches. Discrepancies can arise due to differing risk assessments, information access, or simply varying levels of market participation. It's common to see prediction markets move faster than sportsbooks in response to breaking news or significant developments.

On Kalshi, this market is priced through a continuous order book, where traders buy and sell contracts representing different outcomes for the total passing attempts. The price of each contract reflects the probability of that outcome occurring, as determined by supply and demand. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders are constantly adjusting their positions based on new information and their own analysis, which drives the price fluctuations you see on the dashboard. The more traders believe a particular passing attempt range is likely, the higher the price of the corresponding contract will be.

This market resolves around Oct 11, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final passing attempt totals for both the Cleveland Browns and the New York Jets, as officially recorded by the NFL, will be used to determine the winning contract. The resolution will reflect the combined total of passing attempts by both teams during the game. Traders will be able to view the official result and confirm their positions on Kalshi following the conclusion of the game.

Several factors could significantly impact this market. Any news regarding quarterback injuries for either the Browns or the Jets would be a major catalyst, as it directly affects the likelihood of passing plays. Changes in weather conditions, particularly forecasts for strong winds or heavy rain, could also influence the game plan and lead to fewer passing attempts. Additionally, in-game developments, such as a large early lead for one team, could cause a shift in strategy towards a more run-heavy approach, impacting the final passing attempt totals.