242 Comments

ATM: Trubisky’s Development Still Important

| April 8th, 2020

We’ve all seen the flashes from Trubisky.

The arm strength, the mobility.

But there is a mental block preventing him from becoming the quarterback Ryan Pace thought he drafted. At this point, it certainly seems like that mental block will keep Mitch from being the guy who ends the franchise’s historical quarterback drought. But crazier things have happened, haven’t they?

Because while the trade for Nick Foles means the Super Bowl window should be open for the 2020 Chicago Bears, the club’s best chance at keeping it open longer is still dependent on Trubisky’s development, barring the team selecting a new “quarterback of the future” in the second round of the upcoming draft.

Read More …

Tagged: , ,

241 Comments

Looking at WR Fits in the 2020 NFL Draft

| April 7th, 2020

Last week I identified wide receiver as Chicago’s biggest roster need heading into the draft, so today I want to look at wide receivers in the draft and see which ones might be a fit for this offense. I’ve done previous work looking at wide receivers Andy Reid brought in to Kansas City, where he trained Matt Nagy. When examining their Combine performance, all typically excelled at three drills:

  • 40 yard dash: 4.51 seconds or better
  • Vertical jump: 35.5 inches or higher
  • Broad jump: 10 feet or longer

Receivers who were targeted for that offense usually hit at least 2 of those 3 thresholds, with many of them hitting all 3. And this seems to hold true in Chicago, at least in terms of the wide receivers in which the Bears have invested most. Allen Robinson, Anthony Miller, and Taylor Gabriel all hit at least 2 of 3 thresholds. 2019 4th round pick Riley Ridley only hit 1/3, and 2018 7th round pick Javon Wims 0/3. (A day 3 pick is less of an investment.). Given that the Bears are likely considering WR in round 2 again this year, I think it’s worth looking at what players who might be good physical fits for this offense.

As always, these test results are not a way to say how good or bad a wide receiver will be, but simply if they match the physical characteristics of previous players who have excelled in this offense.


2+ Thresholds Hit

Unlike at tight end, this is a very athletic wide receiver class; 31 of the 45 WRs who did at least 2 of these 3 tests at the Combine hit at least 2 of the three thresholds. Their results are shown in the table below (missed thresholds are shown in red).

Read More …

Tagged: , , , ,

159 Comments

Where Does the Bears Roster Stand Today?

| April 1st, 2020

The free agency dust has mostly settled, so let’s take a minute before attention shifts to the draft to evaluate where the Bears’ roster currently stands. Taking stock of who they have will help identify the largest remaining needs for the draft (and small free agent moves that can still be made).


The Roster

The table below is my best guess at Chicago’s depth chart right now.

A few quick notes:

  • Don’t worry too much about who’s listed as starter/2nd string (especially Foles/Trubisky and Burton/Graham). That’s just my best guess at who I think is better if everybody is healthy.
  • I included players who have not officially been announced, and there’s always a slim chance something could fall through with one of them. This includes Isaiah Irving, and Robert Quinn (and honestly maybe more that I didn’t realize).

The Financial Situation

We don’t actually know Chicago’s exact cap situation right now because of Nick Foles. Adam Schefter reported the Bears and Foles agreed to a restructured contract, but nobody has seen details yet (update: details are starting to come out, and it looks like Foles has an $8M cap hit for 2020, which would give the Bears about $8-9M in cap space before the Ifedi signing). We also don’t know exactly what the cap hit for Germain Ifedi will be.

Spotrac and Over The Cap, the two main NFL cap sites, are both operating under the assumption that Foles’ Jacksonville contract transferred over, and they both list the Bears with under $2 million in cap space right now. Restructuring Foles could clear up to $10 million, and there are other moves the Bears could do to push cap money to the future, but Ryan Pace has already aggressively moved money to the future this off-season. So the Bears still have a little bit of wiggle room, but probably aren’t handing out any big free agency contracts at this point.

Read More …

Tagged: , ,

399 Comments

What are the Bears Getting in Nick Foles?

| March 19th, 2020

The Bears traded a 4th round pick for Nick Foles, and the Bears officially have their new quarterback.

On the surface it might seem puzzling to trade for a 31 year-old quarterback who hasn’t thrown 200 passes in a season since 2015, but one of the big draws for Foles was his familiarity in Matt Nagy’s offense. He played for Nagy in Kansas City in 2016 and in the same scheme in Philadelphia under Doug Pederson in 2017-18. This could be especially important in this offseason, when team activities might not happen before training camp due to Covid-19.

Let’s take a look at some advanced statistics to see how Foles has performed in this offense. In my view, advanced statistics tell us as much about a quarterback’s approach as they do his efficiency. From them, you can see if he favors holding the ball to make a play or getting it out quickly to avoid taking a sack, pushing it deep or throwing it underneath, and making safe passes or taking chances into coverage.

The table below shows a battery of advanced statistics for Foles from 2016-18. For comparison, I included Mitchell Trubisky’s stats from his time under Nagy, and also Alex Smith’s from his time in this offense in Kansas City (the Next Gen Stats database only goes back to 2016, so I couldn’t make his sample any larger). I’ll note that Foles’ stats include playoff games to make the sample a bit bigger; even with that, it’s barely over 500 passes, and about 1/3 of that comes from the playoffs. I color-coordinated columns into general categories: basic efficienty stats (gray), throwing distance (blue), throwing time (tan), and taking chances (green). All data comes from Next Gen Stats except deep passes, which are from Pro Football Reference.

A few thoughts:

Read More …

Tagged: , , , , , ,

70 Comments

ATM: Bears Picked the Right Linebacker

| March 17th, 2020

It was a simple play.

On third-and-four, Dallas had running back Jamize Olawale sneak out of the backfield. He was open for a first down, very possibly a touchdown. Dak Prescott threw it but Olawale never looked. The play almost worked because Nick Kwiatkoski was late in coverage.

Andy Reid saw that play.

The Chiefs offensive guru ran something very similar two weeks later. On third-and-eight he swung a pass out to Damien Williams. Kwiatkoski late again. Touchdown.

As well as Kwiatkoski played last year, he was always going to have a fatal flaw and good offensive coaches were always going to attack him. That’s why Ryan Pace and the Chicago Bears made the right call in keeping Danny Trevathan instead.

Read More …

Tagged: , ,

192 Comments

ATM: Is Ryan Pace’s Former Crush Marcus Mariota the Right Target?

| March 3rd, 2020

Ryan Pace’s first draft quarterback crush could be the guy who saves his job.

The young GM had been on the job for just a few months and the rumor mill was swirling. The thought was that he wanted to package Jay Cutler with the seventh overall pick for the second pick and the chance to select Marcus Mariota. When asked about the possible trade, Pace didn’t say much. He also didn’t deny it.

The Titans balked and took Mariota. The Bears stayed at seven, took Kevin White and stuck with Cutler for two more years. It’s safe to say they might both have been worse off than if they had just done the deal.

On the surface Mariota doesn’t seem like much of an upgrade over Trubisky.

  • Mariota has a career passer rating of 89.6, averaging 7.5 yards per attempt and throws touchdowns on 4.4 percent of his attempts.
  • Trubisky’s rating sits at 85.8 with 6.7 yards per attempt and a touchdown percentage of 3.8.
  • The Titans have gone 29-32 in Mariota’s starts and their offense exploded in 2019 after he was benched and another former first round disappointment Ryan Tannehill led them to the AFC Championship game.
  • The Bears have gone 23-18 with Trubisky.

But the raw numbers don’t really tell the story of Mariota. Or Trubisky, for that matter.

Read More …

Tagged: , , ,

171 Comments

Combine Focus: A Deeper Dive into the Bears Need for Speed

| February 27th, 2020

The NFL gathers this week in Indianapolis for the NFL Combine (or Underwear Olympics, as Jeff prefers to call them), when fans throw out years of game film and focus instead on numbers from a few tests done without pads on watch eagerly to see how well their favorite players perform in a number of drills testing athleticism.

No drill is more popular than the 40 yard dash, the purest measure of straight line speed that we have. While results of these few seconds often get over-weighted, speed is lethal in the NFL, and one of the (many) problems with Chicago’s offense is that they don’t have enough of it among their skill position players – RBs, TEs, and WRs. To better illustrate that, let’s dig into the numbers.


What Counts as Fast?

To start with, let’s figure out what average speed looks like in the NFL.

Defining this is more difficult than you might imagine, because getting an average first requires defining a sample.

I was able to find two different studies that did this, with different samples and thus different results.

  • The first is MockDraftable, which provides the average for all Combine times at every position since 1999. However, not all players at the Combine end up playing in the NFL, and some not at the Combine do.
  • The 2nd study by Topher Doll looked at all players who appeared in at least 5 NFL games since 2000 and found, unsurprisingly, faster averages nearly across the board than just plain Combine averages.

The table below shows the average 40 time for running backs, wide receivers, and tight ends for each study.

As we can see, those are quite a bit different. Since the Doll study is based on players who actually made it to the NFL, I think that’s probably a better reference value to use as average speed for a position.


Chicago’s Speed

Now let’s look at the 40 times for every player who recorded a carry or target for Chicago in 2019.

Read More …

Tagged: , , , , ,

260 Comments

Self-Scouting Matt Nagy’s 2019 Play Calling

| February 21st, 2020

The Bears’ offense was one of the worst in the NFL in 2019 for a variety of reasons. I have already highlighted issues with personnel at right guard, quarterback, and tight end, as well as problems with how coaches chose to use the personnel available to them.

Today I want to look at down and distance tendencies to see what we can learn about Matt Nagy’s situational play calling. With that in mind, I looked at how effective Chicago’s offense was in various situations compared to the NFL as a whole in 2019. All statistics are from the NFL Game Statistics and Information System and Pro Football Reference’s Game Play Finder.


First Down

The table below compares their performance on first down to the NFL as a whole. Success rate data is from Sharp Football.

A few thoughts:

  • The Bears were generally around average in terms of success rate, which is a measure of staying with/ahead of the chains (a successful 1st down play gains at least 40% of the yardage needed for a 1st down).
  • They lagged behind in yards/play both running and passing, which indicates a lack of explosive plays. This makes sense given they were the least explosive offense in the NFL in 2019. Indeed, they had 15 explosive pass plays (2nd fewest) and 6 explosive runs (2nd fewest) on 1st down.
  • The slightly lower run % is partially due to needing to throw it in the 4th quarter while chasing a deficit. If you only look at the 1st-3rd quarter, when that shouldn’t be much of an issue, the Bears ran it on 1st down 49% of the time. This is still lower than the NFL average, which indicates the Bears were generally more pass-happy than the average NFL team. That’s not really a surprise.

Second Down

When it comes to 2nd down, context is needed.

A 3-yard gain is great on 2nd and 2, pretty good on 2nd and 5, and awful on 2nd and 10. With that in mind, I split the data into 4 groups based on the distance required to get a 1st down. The table below shows the results. Numbers in parentheses indicate the NFL average for that group.

Read More …

Tagged: , , ,

181 Comments

How Much is an Elite Kick Returner Worth?

| February 17th, 2020

Earlier this offseason, I suggested the Bears could release Cordarrelle Patterson to free up just under $5M in cap room. A number of people responded that Patterson was the best kick returner in the NFL in 2019 and thus was worth the money. I wasn’t sold that any kick returner was worth that much, but set out to figure out just how much value they add.

Here’s the general setup:

  • I used the Pro Football Reference Drive Finder to look at every drive over the last 5 years that started with a kickoff and didn’t include any kneeldowns.
  • I split the field into 10 yard ranges.
  • I tallied up touchdowns and field goals from drives that started in each field position range to figure out average points/drive. Note: this assumes all touchdowns net 7 points, which is not technically true, and fails to factor in anything about offensive quality.

Based on that approach, here’s what I found the average points expected for drives off of kickoffs that started in a variety of field positions.



This generally matches expectation, as teams are expected to score more points the closer to the opposing end zone they start. By the time they’re inside the opponent 40 yard line, the expected points are higher than a field goal.

Using this data, I then looked at the Bears’ starting field position off of kickoffs in 2018, when they did not have Cordarrelle Patterson vs. 2019, when they did.


Read More …

Tagged: , , ,

156 Comments

The Non-Trubisky Offensive Issue: Personnel Usage Remains a Problem

| February 10th, 2020

It’s no secret that I’ve blamed quarterback Mitchell Trubisky for the lion’s share of Chicago’s offensive shortcomings in 2019, while pointing out contributing factors elsewhere: tight end, run blocking, Tarik Cohen…etc. But I truly believe that a competent quarterback would have put the Bears in the playoffs in 2019.

However, it’s important not to get too fixated on one issue and ignore other problems. So today I want to look at offensive issues from 2019 that have absolutely nothing to do with Mitchell Trubisky, but instead are due to what I believe to be poor coaching decisions regarding personnel usage.


Personnel Predictability

How predictable was Chicago’s offense when several of their key players were on or off the field?

The table below shows changes in run percentage when skill position guys who played between 35-65% of the snaps were in the game vs. on the sideline.

  • On the high end, that excludes players who almost never leave the field (Allen Robinson played over 93% of offensive snaps in 2019) because their “off field” splits would be too small to be worth considering.
  • On the low end, it excludes situational players who often only come in for situations where a run or pass is expected (ie the 4th WR in a 4 WR set for 3rd and long, or the 2nd TE in a short-yardage set).

Instead, I want to look at how the Bears deployed their key skill position players as they rotated through in a game.

(Note: This data is pulled from the NFL Game Statistics and Information System, which includes sacks and QB scrambles as passing plays.)

Read More …

Tagged: , , , ,