Cleveland Browns vs New York Jets Match Player Stats
The cleveland browns vs new york jets match player stats provide an early look at how two AFC teams enter their Week 5 meeting, with Cleveland coming off a 34-10 loss to Jacksonville and New York entering at 1-0 after a 23-10 win over Tennessee. The matchup is scheduled for October 11, 2026, at MetLife Stadium in East Rutherford, New Jersey. The official NFL schedule lists the game for 1:00 PM ET on CBS, which differs from the 10:00 PM time in the supplied dataset.
This makes the player statistics especially useful because they show more than simple rankings. They reveal how each offense is being built, which players are carrying the workload, where defensive production is coming from, and which areas could influence the matchup.
Cleveland Browns vs New York Jets Match Player Stats
The most useful way to examine the cleveland browns vs new york jets match player stats is to separate the numbers into passing, rushing, receiving, and defensive production.
Based on the supplied game data, the leading statistical contributors are:
| Category | Cleveland Browns | New York Jets |
| Passing leader | Deshaun Watson: 205 yards, 16/22, 1 TD, 1 INT | Geno Smith: 215 yards, 19/24 |
| Rushing leader | Deshaun Watson: 38 yards, 6 carries | Breece Hall: 102 yards, 22 carries, 1 TD |
| Receiving leader | Denzel Boston: 59 yards, 2 receptions, 1 TD | Garrett Wilson: 79 yards, 6 receptions |
| Sack leader | Mason Graham: 1 sack | Will McDonald IV: 1 sack |
| Tackles leader | Carson Schwesinger: 10 tackles | Demario Davis: 8 tackles |
| Team record | 0-1 | 1-0 |
The numbers already highlight a major contrast.
Cleveland’s leading rushing production came from its quarterback, while New York had a running back exceed 100 rushing yards. At the same time, Garrett Wilson produced a larger volume of receptions than Cleveland’s leading receiver.
These differences matter because box-score totals can reveal how teams are distributing responsibility.
Game Context and Team Form
The Browns enter the matchup with a 0-1 record after losing 34-10 to the Jacksonville Jaguars on September 13, 2026.
The Jets began their season with a 23-10 victory over the Tennessee Titans on the same date.
That creates an important statistical context. Cleveland scored only 10 points in its opening game, while New York scored 23. The Browns also allowed 34 points, compared with 10 allowed by the Jets.
The NFL game center lists Cleveland at 10 points per game and 272 yards per game entering this matchup, while New York is listed at 23 points and 367 yards per game. The Jets also have the higher time of possession figure at 38:46 per game compared with Cleveland’s 26:09.
Those figures should not be treated as a complete prediction of what will happen in the matchup. One game is a very small sample.
Instead, they provide clues about how each team has operated so far.
Cleveland’s Early-Season Profile
Cleveland’s opening numbers show a team that needs greater offensive consistency.
The Browns produced:
- 10 points
- 272 total yards
- 205 passing yards from their leading passer
- 38 rushing yards from their leading rusher
- 1 touchdown pass
- 1 interception
- 1 defensive sack
The most noticeable point is the relationship between passing and rushing production.
Deshaun Watson accounted for 205 passing yards and another 38 rushing yards. That means his individual contribution represented a substantial portion of the Browns’ offensive output.
The challenge for Cleveland is creating balance so that the offense does not become too dependent on one player.
New York’s Early-Season Profile
The Jets opened with stronger overall production.
Their supplied statistics show:
- 23 points
- 367 total yards
- 215 passing yards from Geno Smith
- 102 rushing yards from Breece Hall
- 79 receiving yards from Garrett Wilson
- 3 team sacks
- A positive turnover differential
The balance is important.
New York’s leading passer, rusher and receiver all produced meaningful contributions. That gives the offense several statistical routes to move the football.
Deshaun Watson Passing Statistics
Deshaun Watson is listed as Cleveland’s passing leader with 205 yards on 16 completions from 22 attempts.
That produces a completion rate of approximately 72.7 percent.
His supplied statistical line is:
- 205 passing yards
- 16 completions
- 22 attempts
- 1 touchdown
- 1 interception
The completion percentage is one of the more encouraging parts of the line.
However, the interception is also important because turnovers can change the value of otherwise efficient passing.
A quarterback can complete a high percentage of passes and still leave points on the field if possessions end in turnovers.
Watson’s Rushing Contribution
Watson also led Cleveland in rushing with 38 yards on six carries.
That is an average of 6.3 yards per carry.
The number is significant because it shows that Cleveland’s quarterback was not contributing only through the passing game.
Quarterback rushing can help an offense in several ways:
- It creates an additional option against man coverage.
- It can punish defenses that overcommit to pass rush.
- It can extend drives when the primary play breaks down.
- It can create additional red-zone possibilities.
The downside is that quarterback rushing also exposes the quarterback to additional contact.
For Cleveland, the ideal offensive structure would be one where Watson’s mobility complements the running game rather than replacing it.
Geno Smith Passing Statistics
Geno Smith enters the matchup with 215 passing yards on 19 completions from 24 attempts.
His supplied line shows:
- 215 passing yards
- 19 completions
- 24 attempts
- 0 interceptions
- 0 touchdown passes listed
His completion percentage is approximately 79.2 percent.
That is a strong efficiency number through one game.
It is also worth separating efficiency from scoring production. A high completion rate does not automatically mean an offense is finishing drives with touchdowns.
The Jets’ 23 points indicate that their offense still generated enough production to win their opening game, but the distribution of those points and the role of the rushing attack are equally important.
Breece Hall’s Rushing Impact
Breece Hall is the clearest statistical standout in the rushing comparison.
He produced:
- 102 rushing yards
- 22 carries
- 1 rushing touchdown
- 4.6 yards per carry
Crossing 100 rushing yards is notable because it combines volume and efficiency.
The 22 carries also show that New York gave Hall a substantial workload.
That workload could become particularly important against Cleveland because a productive rushing attack can reduce pressure on the quarterback while controlling possession.
Hall’s 102 yards also contrast sharply with Cleveland’s listed rushing leader, Watson, at 38 yards.
That does not automatically mean New York will dominate the rushing matchup. Defensive game plans, blocking efficiency, field position and game script can all change rushing production.
Still, Hall’s early workload makes him one of the most important individual players to monitor.
Denzel Boston and Cleveland’s Receiving Production
Denzel Boston leads Cleveland’s receiving statistics in the supplied data with 59 yards on two receptions.
His line includes:
- 2 receptions
- 59 receiving yards
- 1 touchdown
- 29.5 yards per reception
The average of 29.5 yards per catch is particularly striking.
It indicates that his contribution was based on explosive plays rather than a large number of short receptions.
That distinction matters when evaluating receiving statistics.
A player with six catches for 60 yards is being used differently from a player with two catches for 60 yards.
The former suggests volume and consistency.
The latter suggests big-play ability.
Boston’s statistical profile falls into the second category based on the supplied numbers.
Garrett Wilson’s Receiving Statistics
Garrett Wilson provides a different receiving profile.
His statistics show:
- 6 receptions
- 79 receiving yards
- 13.2 yards per reception
- 0 touchdowns listed
Wilson’s 79 yards exceed Boston’s 59 yards, but the bigger difference is reception volume.
Wilson caught six passes compared with Boston’s two.
That gives the Jets a more possession-oriented receiving option in the supplied sample.
A receiver does not need to score a touchdown to have a major influence on an offense. First downs, intermediate gains and repeated completions can keep drives alive and improve field position.
Wilson’s six receptions therefore deserve attention when analyzing the passing matchup.
Defensive Player Statistics
Offensive statistics usually receive the most attention, but defensive numbers can explain why a game develops in a particular direction.
The supplied defensive leaders are:
Cleveland Defensive Leaders
Mason Graham
- 1 sack
Carson Schwesinger
- 10 tackles
New York Defensive Leaders
Will McDonald IV
- 1 sack
Demario Davis
- 8 tackles
The tackle numbers show Schwesinger leading Cleveland with 10 tackles.
Ten tackles in a single game is a significant workload indicator.
It can reflect strong involvement in run defense, short-area coverage, pursuit and overall defensive activity.
However, tackle totals should always be viewed in context.
A high tackle number can sometimes occur because an opponent repeatedly reaches the second level or completes short passes. Therefore, tackles alone do not establish that a defense performed well.
Cleveland Browns Defensive Statistical Areas to Watch
Cleveland’s early statistics show one defensive sack from its leader.
The Browns also recorded no interceptions in the supplied matchup data.
The NFL game center lists Cleveland with one team sack and a -2 turnover differential entering the Jets matchup.
Turnovers can be particularly important when comparing teams with different offensive efficiency.
If Cleveland wants to shorten the margin between itself and New York, pressure and takeaway production are two statistical areas worth watching.
The Browns do not necessarily need to produce a large sack total.
Instead, consistent pressure can affect quarterback timing, reduce explosive passing opportunities and force difficult third-down situations.
New York Jets Defensive Statistical Areas to Watch
The Jets have three team sacks in the early statistical sample.
Will McDonald IV leads the supplied individual numbers with one sack.
New York also has a +1 turnover differential according to the supplied matchup information.
The combination of pressure and turnover production gives the Jets a useful defensive statistical foundation.
For Cleveland, the challenge is avoiding negative plays.
Long-yardage situations make it easier for a defense to use its pass rush aggressively.
That means Cleveland’s offensive efficiency on early downs could influence the entire defensive matchup.
Cleveland Browns vs New York Jets Match Player Stats: Passing Comparison
When the quarterback numbers are placed side by side, the comparison looks like this:
| Statistic | Deshaun Watson | Geno Smith |
| Passing yards | 205 | 215 |
| Completions | 16 | 19 |
| Attempts | 22 | 24 |
| Completion rate | 72.7% | 79.2% |
| Touchdowns | 1 | 0 |
| Interceptions | 1 | 0 |
Watson has the touchdown advantage in the supplied data.
Smith has the completion percentage and interception advantage.
That creates an interesting statistical contrast.
Watson’s passing line produced more direct touchdown value, while Smith’s line shows greater completion efficiency and no interception.
The numbers should be considered together rather than reducing the comparison to one category.
Cleveland Browns vs New York Jets Match Player Stats: Rushing Comparison
The rushing comparison is more clearly separated:
| Statistic | Deshaun Watson | Breece Hall |
| Rushing yards | 38 | 102 |
| Carries | 6 | 22 |
| Yards per carry | 6.3 | 4.6 |
| Rushing touchdowns | 0 | 1 |
Watson has the higher yards-per-carry figure, but Hall has far more carries and more than twice the rushing yardage.
That is a good example of why averages can sometimes be misleading.
Watson’s six carries represent a much smaller sample.
Hall’s 22 carries demonstrate workload as well as production.
For the Jets, Hall’s usage could therefore be more meaningful than his average alone.
Cleveland Browns vs New York Jets Match Player Stats: Receiving Comparison
The leading receivers show another clear contrast:
| Statistic | Denzel Boston | Garrett Wilson |
| Receptions | 2 | 6 |
| Receiving yards | 59 | 79 |
| Yards per reception | 29.5 | 13.2 |
| Receiving touchdowns | 1 | 0 |
Boston produced more yards per reception and a touchdown.
Wilson produced substantially more receptions and more total yards.
This suggests different forms of offensive value.
Boston’s production came through explosive efficiency.
Wilson’s production came through volume.
A strong offense can benefit from both styles.
Injury Report and Availability
The supplied injury information identifies several players whose availability could affect the matchup.
Browns Injury List
- Elgton Jenkins: Questionable
- Dawand Jones: Questionable
- Maliek Collins: Questionable
- Dylan Sampson: IR
- Teven Jenkins: Questionable
Jets Injury List
- D’Angelo Ponds: Questionable
- Minkah Fitzpatrick: Doubtful
- Jamien Sherwood: Questionable
- Kene Nwangwu: Questionable
- Joseph Ossai: Questionable
Injury status should be treated as fluid until official game-day designations are confirmed.
The supplied injury list should not be treated as a final confirmation of who will be active for the game.
This distinction is important for anyone using player statistics to evaluate the matchup.
A player listed as questionable can become active, inactive or have a limited role.
Why Offensive Line Availability Matters
Several Cleveland offensive and defensive linemen appear on the supplied injury list.
That matters because player statistics do not exist independently of team structure.
A quarterback’s passing numbers can be affected by:
- Time available in the pocket
- Protection quality
- Pressure rate
- Route development
- Down-and-distance situations
Similarly, a running back’s rushing numbers depend heavily on blocking.
This is why evaluating the Browns only through Watson’s statistics would provide an incomplete picture.
The supporting cast matters.
How the Jets Can Use Their Statistical Strengths
New York’s early numbers point toward several areas that could shape the matchup.
1. Maintain Rushing Efficiency
Hall’s 102 rushing yards give the Jets an established rushing foundation.
Continued rushing efficiency can force Cleveland to respect the run, which can create opportunities for play-action passing.
2. Continue Using Wilson in Volume
Wilson’s six receptions demonstrate that he can serve as a consistent passing option.
If Cleveland attempts to limit him, other receivers may receive additional opportunities.
3. Protect the Turnover Advantage
The Jets’ +1 turnover differential is valuable.
Avoiding giveaways would help preserve possession and prevent Cleveland from receiving short-field opportunities.
4. Continue Creating Pressure
Three team sacks in the early statistical sample give New York a pass-rush foundation.
Pressure could become especially relevant on obvious passing downs.
How Cleveland Can Improve Its Statistical Profile
The Browns have several measurable areas they can address.
Establish More Consistent Rushing Production
Watson’s 38 rushing yards led Cleveland in the supplied data.
For an offense to become less dependent on quarterback movement, the Browns need reliable production from their running game.
A consistent rushing attack can also help control down and distance.
Reduce Turnovers
Watson’s interception contributes to Cleveland’s -2 turnover differential.
Protecting the football is particularly important against a team that already has a positive turnover differential.
Create More Receiving Volume
Boston’s 59 yards on two catches show explosive ability.
But two receptions also indicate limited volume.
Cleveland needs multiple ways to generate first downs rather than depending on isolated big plays.
Improve Drive Sustainability
The large difference in time of possession suggests Cleveland needs to keep more drives alive.
Third-down efficiency, early-down success and avoiding penalties can all contribute to longer possessions.
What the Previous Games Tell Us
The Browns’ previous game was a 34-10 loss against Jacksonville on September 13.
The Jets’ previous game was a 23-10 win against Tennessee on the same date.
The difference in final score is substantial, but one game should not be used to define either team for the entire season.
Early-season statistics are best viewed as starting points.
They help identify patterns that should be monitored as more games are played.
For example, if Cleveland continues to produce low rushing totals while Watson remains its leading rusher, that would become a more meaningful trend over time.
Likewise, if Hall continues receiving more than 20 carries per game, his workload would become a stronger part of the Jets’ offensive identity.
Understanding the Betting Information Without Treating It as a Player Statistic
The supplied game data lists:
- Browns spread: +1.5
- Jets spread: -1.5
- Browns moneyline: +110
- Jets moneyline: -130
- Total: 39.5
It also lists an ESPN Matchup Predictor percentage of 31.5% for Cleveland and 68.2% for New York.
These figures are not player statistics.
They represent market or model information and should therefore be kept separate from actual on-field production.
Player statistics provide evidence about what players have already done.
Odds and predictive models represent expectations about what might happen.
Those are different types of information.
What Stats Should You Track During the Game?
For readers following the matchup live, several numbers will provide more context than the basic score.
Quarterback Efficiency
Watch:
- Completion percentage
- Passing yards per attempt
- Touchdowns
- Interceptions
- Sacks
- Third-down passing
Rushing Workload
Track:
- Carries
- Rushing yards
- Yards per carry
- Rushing touchdowns
- Runs of 10 or more yards
Receiving Usage
Look at:
- Targets
- Receptions
- Receiving yards
- First downs
- Touchdowns
- Yards after catch
Defensive Production
Important categories include:
- Tackles
- Sacks
- Interceptions
- Forced fumbles
- Tackles for loss
- Third-down stops
Team-Level Metrics
Do not overlook:
- Total yards
- Turnovers
- Time of possession
- Third-down conversion
- Red-zone efficiency
- Penalties
- Explosive plays
These figures explain why the final score develops the way it does.
A Better Way to Read Player Statistics
One of the biggest mistakes in sports analysis is treating a single statistic as the complete story.
For example, 100 rushing yards sounds impressive.
But the context matters.
A player could reach 100 yards on 22 carries, as Hall did in the supplied statistics, or on 10 carries. Those performances have different implications for workload and offensive structure.
The same principle applies to receiving.
Boston’s 59 yards on two receptions and Wilson’s 79 yards on six receptions should not be interpreted identically.
The raw totals are only the starting point.
The most useful analysis combines volume, efficiency and situation.
Statistical Matchup Areas to Monitor
The matchup can be broken into several direct statistical battles.
Watson vs Jets Pass Rush
Cleveland needs Watson to remain efficient while avoiding costly turnovers.
New York’s pressure numbers make this an important area.
Hall vs Browns Run Defense
Hall’s 102 rushing yards and 22 carries give him a substantial statistical workload.
Cleveland needs to prevent that production from becoming the foundation of sustained Jets drives.
Wilson vs Browns Coverage
Wilson’s six receptions and 79 receiving yards make him the Jets’ leading receiving producer in the supplied data.
Limiting his volume could force New York to rely more heavily on secondary receiving options.
Browns Receivers vs Jets Secondary
Boston has already demonstrated explosive receiving ability.
The Jets will need to limit Cleveland’s ability to turn a small number of opportunities into large gains.
What Makes These Statistics Useful for Fantasy Analysis?
Although this article focuses on team and player statistics rather than fantasy football advice, the numbers provide useful context for fantasy evaluation.
Volume is especially important.
Hall’s 22 carries make his role easier to understand than a player with only a few touches.
Wilson’s six receptions demonstrate involvement in the passing game.
Boston’s two receptions demonstrate a different type of production based on explosive gains.
Watson’s combination of passing and rushing yards also illustrates why dual-threat quarterback statistics require both categories to be considered.
Fantasy users should still verify active status and final injury designations before making decisions.
Historical Head-to-Head Context
Historical matchups can provide context, but they should not overwhelm current-season data.
The supplied game information identifies the previous listed matchup as a 27-20 Jets victory over Cleveland.
However, rosters, coaching staffs, schemes and player roles can change substantially between seasons.
For that reason, current player usage is usually more relevant to an upcoming matchup than an older head-to-head result.
Statistical Takeaways
The supplied cleveland browns vs new york jets match player stats reveal several important differences.
Cleveland’s passing leader, Deshaun Watson, has 205 yards with one touchdown and one interception.
New York’s Geno Smith has 215 yards with 19 completions from 24 attempts and no interception listed.
Breece Hall leads the rushing comparison with 102 yards and one touchdown.
Garrett Wilson leads the receiving comparison with 79 yards on six receptions.
Cleveland’s defensive tackle leader is Carson Schwesinger with 10 tackles.
New York’s tackle leader is Demario Davis with eight.
The teams also enter from very different opening-game results.
Cleveland lost 34-10.
New York won 23-10.
At the team level, New York has the stronger early statistical profile in points, yards, time of possession, sacks and turnover differential.
However, those numbers come from a limited sample and should be updated as additional games are played.
Frequently Asked Questions
What are Deshaun Watson’s stats entering the Browns vs Jets matchup?
Deshaun Watson is listed with 205 passing yards, 16 completions on 22 attempts, one touchdown and one interception. He also has 38 rushing yards on six carries.
What are Breece Hall’s rushing stats?
Breece Hall has 102 rushing yards on 22 carries, averaging 4.6 yards per carry, with one rushing touchdown in the supplied statistics.
Who leads the Jets in receiving?
Garrett Wilson leads the Jets with 79 receiving yards on six receptions.
Who leads Cleveland in receiving?
Denzel Boston leads Cleveland with 59 receiving yards on two receptions and one touchdown.
Who has the most tackles for the Browns?
Carson Schwesinger leads Cleveland with 10 tackles in the supplied statistics.
When is Browns vs Jets in 2026?
The matchup is scheduled for Sunday, October 11, 2026, at MetLife Stadium in East Rutherford, New Jersey. The supplied dataset lists the time as 10:00 PM, while the official NFL schedule lists 1:00 PM ET on CBS.
Conclusion
The cleveland browns vs new york jets match player stats offer a useful snapshot of two teams with noticeably different early-season statistical profiles.
Cleveland’s numbers are centered around Watson’s dual-threat contribution, Boston’s explosive receiving production and Schwesinger’s tackle volume. The Browns’ main statistical concerns include their negative turnover differential, limited rushing production and lower overall offensive output from their opening game.
New York enters with stronger early production across several categories. Hall has already established a significant rushing workload, Wilson has provided reliable receiving volume and Smith has produced an efficient passing line without an interception in the supplied statistics. The Jets also have advantages in team yards, time of possession, sacks and turnover differential.
The most useful way to evaluate this matchup is not to focus on one player’s headline number. Instead, watch how the individual statistics connect. Hall’s rushing workload can influence possession time. Wilson’s receptions can extend drives. Watson’s mobility can compensate for pressure. Boston’s explosive plays can change field position quickly. Defensive pressure and turnovers can then determine whether those offensive strengths translate into points.
Because the season is still in its early stages, these figures should be treated as a statistical snapshot rather than a complete definition of either team. As more games are played, trends in workload, efficiency, turnovers, injuries and offensive balance will provide a stronger basis for understanding both teams.
