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Chicago Bears

This is a committee. Luther Burden III holds 22.3% of the targets, and the 12 tracked pass-catchers project for 24 receptions and 270 receiving yards in week 7.

Full Chicago Bears depth chart — every player who took a snap, ranked by how many.

Also on the Chicago Bears: Case Keenum (quarterback), Tyson Bagent (quarterback), Caleb Williams (quarterback), Cairo Santos (kicker), Chicago Bears D/ST (defense).

What this staff chooses

The Chicago Bears run more than the situation calls for: pass rate over expectation -2.4%, 19th of 32, on 68 plays a game (1st). Raw pass rate is 51.8%, but that follows the scoreboard — a trailing team throws. PROE subtracts the league rate for the same down, distance and score, so what is left is the CHOICE.

Pass rate over expectation is the most repeatable offensive trait we measure: split the season into odd and even weeks and a team agrees with itself at 0.84. Most things a defense does sit near 0.32.

This seasonLeague rank
Pass rate over expectation-2.4%19th
Plays per game67.71st
Points per game25.012th

The line, and the front it faces

The offensive line has allowed pressure on 22.5% of dropbacks (14th) and opened 2.72 yards before contact a carry (10th). The defense pressures the quarterback on 30.6% of opposing dropbacks (5th).

This seasonLeague rank
Pressure allowed, per dropback22.5%14th
Yards before contact, per carry2.7210th
Pressure generated, per dropback30.6%5th

What this defense concedes

Of the passes thrown at the Chicago Bears, 63% go to receivers, 22% to tight ends and 15% to backs. Opponents average 8.76 yards a target (32nd).

Read this half with more caution than the half above. How a defense DISTRIBUTES the targets it faces repeats moderately — 0.34 for backs, 0.23 for receivers, 0.09 for tight ends. How many YARDS it allows a tight end per target repeats at 0.02, which is indistinguishable from chance. "Weak against tight ends" is the least reproducible claim in this dataset and one of the most repeated.

63%22%15%ReceiversTight endsBacks

Team figures from 6 games this season. Ranks are among the 32 teams on the same measure.

Season by season

This staff is calling it much as it has: pass rate over expectation -2.4% this season against -3.9% across the previous 10 seasons.

Chicago Bears: pass rate over expectation by season-20-10020162017201820192020202120222023202420252026Over expectationseasonpercentage points over expected
Pass rate over expectation subtracts the league rate for the same down, distance and score, so it is what the STAFF chose rather than what the scoreboard forced. It repeats at 0.84 (Spearman-Brown), the most reliable offensive trait measured in this project.
Chicago Bears: points scored and allowed by season01020304020162017201820192020202120222023202420252026ScoredAllowedseasonpoints per game
Regular-season averages. Points scored carries further year to year than points allowed, which is the same asymmetry that runs through everything here: offense reproduces, defense mostly does not.

Pass rate over expectation from 2016; points from the same seasons. Each season is that season's regular-season average.

Who owns the targets

Trailing target share, largest first. Target share reproduces at 0.92 between halves of a season, so this is a stable picture of the pecking order rather than a snapshot of one good game.

22%17%16%15%11%27%Luther Burden IIIRome OdunzeKalif RaymondColston LovelandD'Andre SwiftEveryone else

Receivers

PlayerSnap shareTarget shareProj. catchesProj. rec yardsIf he sits
Luther Burden III WR160%22.3%4.550who benefits
Rome Odunze WR284%16.6%4.055who benefits
Kalif Raymond WR360%15.7%2.927—
Zavion Thomas WR depth12%2.9%0.98—
Jahdae Walker WR depth14%1.1%0.212—

Tight ends

PlayerSnap shareTarget shareProj. catchesProj. rec yardsIf he sits
Colston Loveland TE185%15.4%4.048who benefits
Cole Kmet TE262%5.9%1.217who benefits
Sam Roush TE321%2.7%0.77—

Backs

PlayerSnap shareTarget shareProj. catchesProj. rec yardsIf he sits
D'Andre Swift RB258%10.6%3.125who benefits
Roschon Johnson RB323%5.4%1.213—
Kyle Monangai RB140%4.4%1.16who benefits
Zavier Scott RB depth18%4.4%0.70—

The ground game

Projected for 38 carries and 179 rushing yards, with Kyle Monangai taking 44% of the work. Carries per game is the second most repeatable thing a player has — 0.97 between halves of a season — so a backfield split holds up far better than a touchdown rate does.

PlayerCarriesRush ydsYds/carryAnytime TD
Kyle Monangai RB17.0814.7537%
D'Andre Swift RB14.5634.3545%
Roschon Johnson RB6.8355.1527%
17147Kyle MonangaiD'Andre SwiftRoschon Johnson

Whose role has changed since last season

Snap share this season against last, for anyone who has moved at least six points. This is the input the model leans on hardest early in a year, because snap share is already reliable at 0.84 after two games while receptions manage 0.66.

Chicago Bears snap share changeKalif Raymond+23.937→60%Colston Loveland+19.965→85%Roschon Johnson+19.83→23%Luther Burden III+18.742→60%Cole Kmet-8.371→62%Zavier Scott-18.118→0%points of snap share

Ranked by trailing target share, tie-broken on snap share · concentration measured as a Herfindahl index over the tracked room · projections as-of-week with no lookahead