After a promising rookie campaign, Chicago Bears WR Darnell Mooney had a breakthrough sophomore season in 2021. He posted the first 1000-yard season of his career and, as you can see in the table below, was among the top 20 WRs in the NFL in the three main receiving categories.

Of course, these are all volume stats, and high volume does not necessarily mean you are a top player. Mooney was the only not-terrible WR in Chicago last year, so he naturally saw a lot of balls thrown his way. As the only returning WR in 2022, I think it’s worth digging a bit into the advanced statistics to see how well Mooney did with those passes.

Man vs. Zone

Let’s start by looking at how Mooney did against man and zone coverages compared to his peers. I split the overall WR group based on how many targets players earned, and the samples broke down like this:

• 100+ targets: 33 WRs fell in this group, and with 32 NFL teams, this was basically the WR1s.
• 50-99 targets: 56 WRs are in this group, making it the WR 2 + 3 for each team. These are generally starters, but not the top targets.
• 30-49 targets: 28 WRs are in this group, making it roughly a teams’ WR4. These are the top backups.
• Less than 30 targets: 117 WRs (about 3.6/team) fell in this group, and these can be viewed as depth pieces.

The table below shows how WRs in those groupings performed in a variety of metrics against both man (orange) and zone (blue) coverage. All stats are from Pro Football Focus (PFF).

A few thoughts:

• It’s important to take the offense into consideration when evaluating Mooney’s stats against his peers. The Bears as a team ranked in the bottom 5 in the majority of passing categories, so it’s not really a surprise to see some of his efficiency stats looking low. For example, the Bears were about 4% lower than the NFL average in completion % (catch % here) and 0.4 yards below the NFL average in yards/attempt (yards/target here).
• Even given that context, Mooney’s catch percentage is still quite low against both man and zone coverage. In man, this can be explained by his deeper targets (higher air yards/target), but that’s not true in zone. Mooney’s drop rate was not an issue (4.7%, 12th best of 33 WRs with 100+ targets), so I’m inclined to chalk this up to a high rate of uncatchable passes (Justin Fields was one of the least accurate passers in the NFL last year).

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So far, this series has focused on what Fields did well and where he struggled during his rookie season. Now I want to broaden this to think a bit about what it could mean for his future. In order to accomplish that, I’m going to compare Fields’ stats in a wide variety of categories to those of every other rookie QB with at least 250 pass attempts in the last decade. All data will come from Pro Football Focus (PFF) unless otherwise noted.

Overall Comparison

Including Fields, there have been 37 QBs who attempted at least 250 passes during their rookie season over the last 10 years. The data below shows how Fields compared to the rest of the sample in a variety of wide-ranging metrics. Places where Fields ranked in the top 10 are highlighted in green, while those where he ranked in the bottom 10 are highlighted in red.

A few thoughts:

• Overall, this matches what we saw with Fields when compared to all 2021 QBs. He holds the ball a long time, pushes it down the field, doesn’t complete a lot of passes, but is generally decent in yards/attempt, big time throws, and turnover worthy plays. He generally ranks a bit better in most areas when compared to other rookies than he did compared to all 2021 QBs, but that makes sense; most rookie QBs are bad.
• What do these stats mean going forward? I tried to look at a few of them to see if they could project anything.
  • If you do a simple big time throw – turnover worthy play analysis, Fields ranks 5th, and the guys around him are a pretty good list, with Ryan Tannehill, Justin Herbert, Andrew Luck, Robert Griffin III, and Mac Jones. That’s certainly not a guarantee, but it’s encouraging.
  • Of course, Fields having the 3rd worst accuracy is not good. Others near him in that category include DeShone Kizer, Geno Smith, Case Keenum, Josh Rosen, and EJ Manuel, which is blech, but Josh Allen and Andrew Luck are right there too, so it’s not necessarily a death sentence on his career.

Data Split By Depth

Like I did earlier in this series, I want to take a little bit closer look at accuracy by splitting it up by depth. It’s harder to throw an accurate pass when it’s further down the field, but those passes carry more value because they gain more yards. Since Fields had a higher average target depth than most, maybe his seeming accuracy issues were really just him throwing deep more often.

The table below shows how Fields compared to the 37 QB sample of rookies with 250+ pass attempts in both frequency and accuracy of passes to different depths of the field. Once again, places where Fields ranked in the top 10 are highlighted in green, while those where he ranked in the bottom 10 are highlighted in red.

A few thoughts:

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This piece examines if we can quantify how much the offense around him may have hurt Fields’ production.

Dalton Dropoff? 

My initial idea was to look at Andy Dalton’s stats in Chicago compared to his previous seasons. Dalton has been on three different teams over the last three years – Cincinnati in 2019, Dallas in 2020, and Chicago in 2021 – so if his performance took a drastic drop in 2021 compared to the previous stops, that would be supporting evidence for the theory that Fields was hurt by the offense around him.

The table below examines Dalton’s efficiency (blue) and playing style (orange) across his last three seasons. Deep throw % is from Pro Football Reference’s Game Play Finder, while all other playing style stats are from Next Gen Stats.

As you can see, there doesn’t actually appear to be much of a change across seasons. Dalton’s sack rate rose a little in Chicago, but he also held the ball a little longer. Besides that, he was pretty much the same bad quarterback in all three years. You can argue Dalton had a similarly bad supporting cast in Cincinnati in 2019, but he played in a really good Dallas offense in 2020, and there is no evidence that going from that to Chicago hindered his performance.

Anecdotal Evidence

Of course, you could make the claim that Dalton is simply a bad QB, and that doesn’t change no matter how good or bad the offense is around him. But that doesn’t help us if we are trying to identify how (or how much) the supporting cast impacted Fields in 2021.

On the surface, it’s reasonable to think that Fields’ stats took a hit due to factors that are outside of his control. Consider the following:

• Two different sources said the Bears were able to get WRs open at the lowest rate of any team in the NFL.
• Related to that, there were plenty of complaints about the offensive scheme and play calling, which features a comically high rate of hitch routes for WRs, and, as we saw earlier this series, not as much play action as was warranted considering how well Fields did on play action.
• Somebody attempting to quantify how much help a QB received ranked Fields 28th of 32 NFL QBs, meaning only 4 other QBs got less help from the rest of their offense than Fields did as a rookie.

Clearly, it’s fair to say that Fields wasn’t operating in ideal circumstances as a rookie, but how much did that actually hurt his performance? I want to briefly look at three specific areas where Fields appeared to be impacted more than Dalton.

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This piece looks at how efficiently Fields helped the offense produce explosive plays. All stats are from Pro Football Reference, with many of them compiled using their Game Play Finder tool.

Setting up the Study

I’ve been tracking explosive plays for several years now because I found they have a strong correlation to total points scored by the offense. Therefore, they’re an important indicator of offensive success; by and large, good offenses produce more explosive plays.

The exact criteria I use for explosive plays are runs that gain 15 or more yards and passes that gain 20 or more yards. This is borrowed from ESPN Stats.

Normally I just track total explosive plays over an entire season, but that’s a little harder to do here since Fields only played in 12 of 17 games, and only started 10 of them. So, I’m going to take a slightly different approach and look at explosive plays per game and per play. I’m going to split the Bears’ season into three groups, and consider each group separately:

• Games Fields started and finished. There were nine.
• Games Dalton or Foles started and finished. There were six.
• Games split between Fields and Dalton. There were two: Cincy (Week 2) and Baltimore (Week 11). These are getting ignored, since I can’t easily figure out who was on the field when explosive plays happened.

This will allow me to compare Fields’ explosive play production to the NFL as a whole, but also to how the exact same offense functioned with a different QB.

Explosive Passes

I want to start with a graph for visual effect, because I think it’s hilarious.

I’ll get to a more typical table with concrete numbers in a second, but for now the graph below shows how many dropbacks (pass attempts + sacks) were needed to produce an explosive pass for all 33 QBs with 200+ passing attempts in 2021. The two Bears samples (Fields and the Dalton/Foles combo) have their dots shown in orange.

As you can see, Fields is right about in the middle of the pack, but look at the Dalton and Foles sample sitting way out to the right by itself! They’re farther away from 32nd place than 32nd is from 1st. Those QBs are truly in a league of their own.

OK, enough making fun of the crappy veteran QBs that Chicago’s last regime somehow thought were the answer to their problems the last 2 off-seasons. Now for some actual numbers. The table below shows this same data as the graph above, but also includes the Bears from 2020 and 2019, so you can see that this is not a new problem for Chicago.

A few thoughts:

• Chicago’s passing game has been among the least explosive in the NFL for years. I’m not sure if that’s due to bad scheme or bad quarterback play, but in reality, it’s probably a combination of both.

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This piece looks at how Fields’ performance changed as his rookie season wore on. All stats are from Pro Football Focus (PFF) unless otherwise noted.

General Overview

Let’s start with a general look at Fields’ stats over the course of the year. A few quick notes:

• They are split into three groupings (Weeks 2-5, 6-8, and 9-15), because each group showed some clear distinctions compared to earlier games that I’ll point out below.
• The first and third groups were considered to be 3.5 games for the per-game stats, because Fields played about half of the Cincinnati (Week 2) and Baltimore (Week 11) games.
• Basic passing statistics are shown in blue, basic running statistics in orange, and advanced passing style statistics in green. Basic stats are from Pro Football Reference; advanced stats are from Next Gen Stats.

A few thoughts:

• Those first 3.5 games of Fields’ career were rough. He only completed 50% of his passes, got sacked on 17% of dropbacks, and threw into tight coverage (aggressive throw) over 25% of the time. Basically, he didn’t really know what he was doing. It’s fair to think that being thrown into the fire after the coaches went out of their way to NOT PREPARE him to play during training camp and the preseason hurt him in that regard.
• Starting in Week 6, there are three drastic changes in how Fields operated that made me group these games differently.
  • The first is that the Bears started relying on him a lot more, which you can see by the big jump in dropbacks/game (includes all pass attempts, sacks, and Fields runs, which were mostly scrambles).
  • In the midst of this heavier usage, you can see Fields running the ball far more often and more effectively, which resulted in his sack rate dropping a bit (though it was still high, the league average was 6%).
  • You can also see Fields’ throws into tight coverage drop significantly, which indicates he was doing a better job of finding open players to throw the ball to.
• All three of those Week 6 changes continued throughout the rest of the year, but two more significant factors changed starting in Week 9, which caused me to group those final games separately.
  • First, Fields’ yards/attempt mark made a significant jump. It had been fairly steady in the first two samples but was drastically different in Weeks 9 and beyond. This wasn’t driven by just one game, either; three of Fields’ four outings in weeks 9+ featured a yards/attempt greater than 7, a feat which he had only accomplished once in his first 7 games.
    • For a little more context, Fields’ 6.3 yards/attempt mark through Week 8 would have been 28th of 33 QBs with 200+ pass attempts in 2021, while that 7.8 mark would rank 5th.
  • Second, Fields’ time to throw took a massive jump as well. Through Week 8, he was around league average in that 2.75 second range, while the 3.15 seconds he averaged from Week 9 on would have been the highest in the NFL in 2021.
    • Holding the ball too long can be a problem, as it opens you up to sacks, but Fields’ sack rate dropped here. He even threw it into tight coverage less frequently.
    • Coming out of college, Fields was known as a guy who holds the ball and likes to push it deep. In those final few games of his rookie year, we see him figuring out how to make that style work. That bodes very well for the future.

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This piece will examine how frequently Fields was pressured, who was to blame for that pressure, and how Fields performed when under pressure. All stats are from Pro Football Focus (PFF) unless otherwise noted.

Pressure Frequency

Fields was one of the most heavily pressured QBs in the NFL as a rookie. PFF had him pressured on 43% of dropbacks, the 3rd highest rate of 39 qualifying NFL QBs (34% median, 45% worst). Pro Football Reference, which is more selective with what they consider a pressure, had him at a 27% pressure rate, the 5th highest mark in the NFL (23% median, 31% worst).

The table below shows how much of the pressure for each QB PFF blamed on each position. Fields’ stat is provided, and his rank compared to the other 39 QBs, as well as the range of the other qualifying QBs.  Cells where Fields ranked in the top 10 are highlighted in green, while cells where Fields ranked in the bottom 10 are highlighted in red.

A few thoughts:

• By and large, Fields was not particularly to blame for the pressure he faced. PFF only credited him with being responsible for 13% of his pressures, which was the literal middle of the pack for the 39 QB sample.
• Pressures may not have been his fault, but many sacks were. Fields allowed 24% of his pressures to turn into sacks, which was the 6th worst mark in the NFL (median 17%). This matches Lester Wiltfong’s Sackwatch series, which blamed Fields for 9 of the 36 sacks he took in 2021. If you go back and look at the film breakdown for those (which Lester does for all of them), the majority came when the initial pressure was not his fault, but then Fields could have gotten the ball out or escaped and didn’t.
• In general, the pass blocking from the offensive line ranged from average to below average (again, 20th is the middle of a 39 QB sample). Two spots stood out from that: right guard was pretty good (it’s worth noting RG James Daniels is a free agent) and center was pretty bad. Sam Mustipher has to be upgraded this offseason.
• It’s a small sample size, but the tight ends allowed a high rate of pressure compared to other QBs. When looking at tight ends, PFF had Cole Kmet ranked 43rd and Jesse James 30th in rate of pressures allowed out of 68 total qualified tight ends, which is around average for both, so I’m not sure what happened here. Maybe it’s a small sample size thing, where the tight ends gave up most of their pressures when Fields was in at QB (as opposed to Dalton or Foles).
• I think sample size with running backs (the majority of the other) was probably an issue too. PFF had David Montgomery and Khalil Herbert 25th and 23rd, respectively, in rate of pressures allowed out of 64 qualified running backs, which is a little above average but nothing spectacular.

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Today is the second of seven articles taking a closer look at Justin Fields’ rookie season, looking at how his performance fared in play action vs. standard dropbacks and also how he performed throwing quick passes as opposed to slow-developing plays. All stats are from Pro Football Focus (PFF) unless otherwise noted.

Play Action

Let’s start by looking at how Justin Fields did on play-action dropbacks compared to standard passing plays. Before I present the full data, I want to briefly explain two PFF stats that will be used:

• Big Time Throw: these are best described as a pass with excellent ball location and timing, generally thrown further down the field and/or into a tighter window. In other words, these are really good, difficult passes that should result in highly valuable big plays. A higher % here is better.
• Turnover Worthy Play: These include fumbles in the pocket, interceptions thrown, and interceptable passes that were not caught. A lower % here is better.

Both of these stats will admittedly have some subjectivity inherent, but they provide a useful glimpse into how frequently a QB makes a really good play vs. a really bad one.

The table below shows how Fields performed in a wide variety of statistics in play action (blue) vs. other dropbacks (orange), and also includes Fields’ rank out of 39 total NFL QBs who had at least 20% of the pass attempts of the NFL leader. Information on the spread of all NFL QBs is also provided for each stat. Cells highlighted in green indicate Fields was among the top 10 QBs in this category, while those in red indicate Fields was in the bottom 10 QBs.

A few thoughts:

• Fields’ accuracy and completion percentage were very poor in both samples, but that is to be expected given his accuracy issues, which we looked at in part one of this series. Relatively speaking, he was a little better in play action than out of play action here.
• We also see consistency in Fields pushing the ball down the field regardless of the play time. His average pass was the 3rd deepest in regular passes and the deepest on play action. This is also expected given what we’ve already looked at. Fields likes to go deep.

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Introduction

Justin Fields’ rookie season is over, which means it’s time to evaluate how he did, as well as what it could mean for his career going forward.

Let’s start with a look at the basic stats, which are shown in the table below. In order to give these some more context, I looked at all 33 NFL QBs who had 200 or more pass attempts this year, gave you a feel for the spread of those 33 QBs in each category, and provided Fields’ rank. Cells highlighted in green indicate Fields was in the top 10 for that category, while those highlighted in red indicate Fields was in the bottom 10.

As you can see, this isn’t pretty. Fields ranked in the bottom 5 in every category except yards per passing attempt. It’s definitely a good thing that a quarterback is among the worst in the NFL at completing passes, throwing touchdowns, avoiding interceptions, and avoiding sacks, right? RIGHT?

If you followed the Bears at all closely this year – which I assume applies to most people who read this website – this shouldn’t come as a surprise to you. Fields definitely had his rookie struggles, and we very much see that reflected in the big-picture statistics here.

All in all, I think it’s hard to paint a picture that Fields’ rookie season was anything other than a disappointment. If you had asked me in August if I’d be happy with Fields posting a rookie stat line of 159/270, 1870 yards, 7 TD, 10 INT, 36 sacks, and 12 fumbles, I would have said “no” without even having to think about it. If you’re being honest with yourself, you would have said the same.

But that doesn’t mean Fields’ rookie season was a complete loss. Though the overall results were abysmal, there were some flashes of good present as well, and there are plenty of signs of promise to be found if you’re willing to look. QB play is complicated, and sometimes raw statistics don’t tell the entire story.

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Bears running back David Montgomery has one year remaining on his rookie contract, meaning he is eligible for an early extension if the Bears want to give him one. After George McCaskey specifically praised Montgomery and linebacker Roquan Smith (who is also looking to get paid this offseason) at his end of season press conference in January, many fans speculated that both were about to get paid.

On the surface, an extension could make sense for Montgomery. Since entering the NFL in 2019, he is 6th in the league in carries, 9th in rushing yards, and 12th in rushing touchdowns. But those are volume stats and say nothing about Montgomery beyond his ability to stay healthy and handle a heavy workload. Today I want to take a closer look at Montgomery’s efficiency to see if he is a good running back or just a running back who gets a lot of touches.

Overall Efficiency

Let’s start with a general look at Montgomery’s overall efficiency, measured both in yards/carry and rush yards over expectation/carry (RYOE/carry).

RYOE/carry is a new stat in the last few years, and it’s based on both the position and the movement of all 22 players on the field at the time of handoff. Basically, it projects how many yards an average NFL running back would get in a given carry based on historical data, and then compares how that specific running back did on that play. All RYOE/carry stats are pulled from Tej Seth’s website mfbanalytics.

The table below shows Montgomery’s yards/carry and RYOE/expectation marks for all three of his NFL seasons. It also compares him to the average NFL running back each season, looking only at backs who get 150 or more carries on the year (close to 1/team, so roughly starting NFL running backs).

A few thoughts:

• As you can see, Montgomery has not generally been very efficient. He ranks in the bottom half of all starting running backs in both yards/carry and RYOE/carry in all three seasons.
• You could try to explain away a poor yards/carry mark by pointing out that Chicago’s offensive line, offensive scheme, and offense as a whole have been bad for Montgomery’s career. Those are fair points, which is why I didn’t just want to look at his yards/carry mark when evaluating Montgomery. If that is bad but his underlying metrics are good, it would indicate a good running back trapped in a bad offense.
• RYOE, however, doesn’t support that idea. This stat in particular is intended to isolate the running back’s performance, since the expected yards mark takes into consideration where every other player (both offense and defense) is at the time of handoff, as well as where they’re moving. Therefore, this should remove scheme and the caliber of talent around you from being a significant factor. Consistently underperforming your RYOE mark is an indication of a below-average running back.

Explosion and Consistency

It feels weird to call David Montgomery a below-average running back. Just writing that is jarring. After all, we’ve spent three years cheering for him and loving how he runs. So maybe there’s something else out there that can highlight what Montgomery is good at.

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The Bears have limited resources to improve their team this offseason, and a lot of attention is going to be focused on using those resources to fix the offense. On the surface, this makes quite a bit of sense; as you can see in the table below, which looks at a variety of all-encompassing stats for each side of the ball, the Bears had an average to below-average defense and one of the worst offenses in the NFL.

However, the Bears would be wise not to ignore the defense, either. For starters, that unit has several key contributors from 2021 who are scheduled to be free agents, including five players who spent the bulk of the season as starters (Akiem Hicks, Bilal Nichols, Alec Ogletree, Artie Burns, Tashaun Gipson). Those players will need to be re-signed or replaced, and none of them have obvious in-house replacements already on the roster.

But Chicago has to be careful not to overspend on defense, because the offense definitely needs investment as well. The table below shows the veteran players currently under contract for 2022 on both offense and defense with a cap hit of at least $3 million. The offense is shown on the left in blue, and the defense on the right in orange. As you can see, it’s quite lopsided (data from Over the Cap).

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