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NFL player roles and what each role does well

Every wide receiver, tight end and running back gets a role each week: an alignment family (slot, outside X, outside Z; move or inline tight end; three-down, receiving or early-down back) plus style traits (field stretcher, possession, YAC, red zone, goal line) with strengths from 0 to 100. The role used for any prediction is built only from games before kickoff. Below: league baselines for each role, and which role-versus-scheme matchups hold up in 2023–25 data.

Wide receivers

Slot receiverrole

Lines up inside. Proxy: a high share of short targets over the middle, a low aDOT and few deep shots, fitted to Fantasy Nerds slot (SWR) depth labels; the latest SWR label before kickoff counts when one exists.

Tgt/route
0.20
Yds/route
1.59
Catch %
68%
aDOT
8.3
PPR/target
1.75
PPR/game
8.3

184 players, 1,849 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: Amon-Ra St. Brown (DET), Wan'Dale Robinson (TEN), Stefon Diggs (WAS), Zay Flowers (BAL)

Outside X (boundary)role

Outside receiver who faces press: low Next Gen Stats cushion and more contested targets. Not validated against charted alignment (no free source); treat X vs Z as a lean.

Tgt/route
0.18
Yds/route
1.46
Catch %
60%
aDOT
12
PPR/target
1.69
PPR/game
8

227 players, 2,479 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: Michael Wilson (ARI), Jaxon Smith-Njigba (SEA), Tee Higgins (CIN), Davante Adams (LAR)

Outside Z / flankerrole

Outside receiver who plays off the ball: more cushion, more motion, fewer contested targets.

Tgt/route
0.18
Yds/route
1.48
Catch %
63%
aDOT
11.4
PPR/target
1.72
PPR/game
7.1

305 players, 2,530 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: Chris Olave (NO), CeeDee Lamb (DAL), Puka Nacua (LAR), Ja'Marr Chase (CIN)

Field stretcherstyle trait

High aDOT and a high share of targets 20+ air yards downfield.

Tgt/route
0.18
Yds/route
1.44
Catch %
58%
aDOT
13.6
PPR/target
1.73
PPR/game
7.5

126 players, 914 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: Chris Olave (NO), Davante Adams (LAR), DK Metcalf (PIT), Matthew Golden (GB)

Possession / chain-moverstyle trait

Mid aDOT, catch rate above what his depth implies, and a large share of targets on third and fourth down.

Tgt/route
0.19
Yds/route
1.58
Catch %
65%
aDOT
10.9
PPR/target
1.78
PPR/game
8.4

189 players, 1,239 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: Chris Olave (NO), CeeDee Lamb (DAL), Jaxon Smith-Njigba (SEA), Puka Nacua (LAR)

YAC / screenstyle trait

Screens and throws at or behind the line, and yards after catch above nflverse expected YAC.

Tgt/route
0.21
Yds/route
1.65
Catch %
68%
aDOT
8.5
PPR/target
1.76
PPR/game
8.7

123 players, 1,060 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: Drake London (ATL), Zay Flowers (BAL), Khalil Shakir (BUF), Malik Washington (MIA)

Red-zone / jump-ballstyle trait

A large share of his team’s red-zone targets, end-zone targets and contested catches.

Tgt/route
0.22
Yds/route
1.79
Catch %
62%
aDOT
11.5
PPR/target
1.77
PPR/game
11.9

113 players, 848 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: Amon-Ra St. Brown (DET), CeeDee Lamb (DAL), Michael Wilson (ARI), Jaxon Smith-Njigba (SEA)

Tight ends

Move TE / big slotrole

A receiving tight end: targets per route, aDOT and middle-of-field usage like a slot receiver.

Tgt/route
0.19
Yds/route
1.41
Catch %
72%
aDOT
7
PPR/target
1.79
PPR/game
8.1

98 players, 1,185 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: Trey McBride (ARI), Brock Bowers (LV), Sam LaPorta (DET), Isaiah Likely (NYG)

Inline TErole

Plays attached to the line and blocks: snaps without many targets per route; short, flat-type targets.

Tgt/route
0.14
Yds/route
0.98
Catch %
72%
aDOT
5.7
PPR/target
1.72
PPR/game
3.8

172 players, 2,857 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: Tyler Warren (IND), Juwan Johnson (NO), Harold Fannin Jr. (CLE), Cade Otton (TB)

Running backs

Three-down backrole

Most of the snaps, most of the carries and a real passing-down role.

Tgt/route
0.16
Yds/route
0.92
Catch %
79%
aDOT
0.2
PPR/target
1.58
PPR/game
16

43 players, 667 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: Bijan Robinson (ATL), Jahmyr Gibbs (DET), Jonathan Taylor (IND), Ashton Jeanty (LV)

Receiving backrole

Passing-down specialist: target share and third-down touches out of line with his carries.

Tgt/route
0.15
Yds/route
0.87
Catch %
79%
aDOT
0.1
PPR/target
1.53
PPR/game
6.9

120 players, 1,211 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: D'Andre Swift (CHI), Rhamondre Stevenson (NE), RJ Harvey (DEN), Alvin Kamara (NO)

Early-down / grinderrole

Carries on first and second down, little passing-down work.

Tgt/route
0.14
Yds/route
0.79
Catch %
78%
aDOT
-0.3
PPR/target
1.53
PPR/game
6.7

217 players, 2,547 player-games, 2023–25. Routes are on-field dropbacks.

Week 5: James Cook (BUF), Javonte Williams (DAL), Bucky Irving (TB), Breece Hall (NYJ)

Goal-line backrole

A large share of his team’s carries inside the 5.

Which role-vs-scheme matchups hold up

For each role and scheme we compare the role’s targets (or yards) per route when the defense does it vs when it doesn’t, relative to the same change for the rest of the position. +10% means that role gains 10% more than his position-mates. 195 tests over 2023–25: 0 A, 4 B, 55 C and 136 that don’t hold up. Grades need the same sign in odd and even weeks and out of sample (2023–24 → 2025), after a Benjamini–Hochberg correction.

Role by defensive scheme interaction tests, 2023–2025
RoleSchemeMetricVs position-mates202320242025qGrade
Outside X (boundary)man vs zonetargets per route+9.9%+11%+13%+8%0.02B
Move TE / big slotpressure vs cleantargets per route−16.3%−17%−14%−18%0.02B
Slot receiverman vs zonetargets per route−8.8%−11%−9%−8%0.02B
Inline TEpressure vs cleantargets per route+19.5%+21%+16%+22%0.02B
Outside X (boundary)two-high vs single-hightargets per route−8.3%−7%−10%−9%0.06C
Receiving backtwo-high D vs other Dyards per route+23.7%−8%+41%+51%0.06C
Field stretchertwo-high vs single-hightargets per route−10.8%−10%−13%−9%0.07C
Early-down / grinder8+ box vs lighter boxyards per carry−15.9%−14%−23%−12%0.07C
Field stretcherman vs zonetargets per route+11.8%+13%+16%+7%0.08C
Slot receivertwo-high vs single-hightargets per route+8.9%+7%+17%+4%0.08C
Move TE / big slotpressure vs cleanyards per route−17.4%−16%−16%−21%0.08C
Inline TEpressure vs cleanyards per route+21.1%+19%+20%+26%0.11C
Move TE / big slottwo-high vs single-hightargets per route−9.2%−12%−4%−10%0.11C
Receiving backblitz vs no blitzyards per route−22.1%−30%−15%−21%0.11C
Inline TEtwo-high vs single-hightargets per route+10.1%+14%+4%+12%0.16C
YAC / screenman vs zonetargets per route−7.1%−10%−5%−10%0.17C
Receiving back8+ box vs lighter boxyards per carry+20.0%+6%+33%+30%0.21C
Possession / chain-moverpressure vs cleantargets per route−9.0%−12%−10%−4%0.21C
Outside X (boundary)man vs zoneyards per route+11.1%+17%+10%+8%0.22C
Three-down backsoft cushion vs tighttargets per route+10.4%+17%+20%+0%0.22C
Red-zone / jump-ballman vs zonetargets per route+7.4%+11%+16%−6%0.22C
Red-zone / jump-balltwo-high vs single-hightargets per route−7.2%−4%−10%−8%0.25C
Receiving backsoft middle vs other Dyards per route−16.6%−19%−20%−10%0.25C
Receiving backtwo-high D vs other Dtargets per route+8.2%−3%+17%+13%0.33C
Red-zone / jump-ballblitz vs no blitztargets per route+6.3%+5%+6%+8%0.34C
Outside X (boundary)soft cushion vs tighttargets per route+5.7%−0%+3%+14%0.35C
Possession / chain-moverpressure vs cleanyards per route−12.3%−9%−15%−12%0.36C
Early-down / grinderpressure vs cleanyards per route+18.6%+42%−11%+35%0.36C
Early-down / grinderblitz vs no blitzyards per route+20.3%+58%+34%−19%0.36C
Three-down backsoft cushion vs tightyards per route+18.8%+28%+21%+10%0.39C
Three-down backtwo-high D vs other Dyards per route−14.0%−5%+7%−34%0.39C
YAC / screenpressure vs cleantargets per route−7.7%−8%−7%−9%0.39C
Outside Z / flankersoft middle vs other Dyards per route−8.2%−7%−12%−5%0.42C
Move TE / big slotman vs zonetargets per route+8.9%+12%+16%−4%0.44C
Inline TEman vs zonetargets per route−8.2%−11%−14%+4%0.47C
Early-down / grinderpressure vs cleantargets per route+9.1%+10%+1%+16%0.49C
Outside Z / flankerman vs zoneyards per route−7.0%−8%−6%−8%0.66C
Red-zone / jump-ballsoft cushion vs tighttargets per route+5.2%+3%+11%+1%0.66C
Red-zone / jump-ballsoft cushion vs tightyards per route+7.4%+1%+13%+8%0.68C
Outside X (boundary)pressure vs cleanyards per route−7.3%−12%−2%−5%0.72C
Inline TEtwo-high vs single-highyards per route+7.3%+5%+4%+12%0.72C
Move TE / big slottwo-high vs single-highyards per route−6.8%−4%−4%−11%0.72C
Move TE / big slottwo-high D vs other Dtargets per route+4.8%+4%+0%+10%0.73C
Outside X (boundary)two-high vs single-highyards per route−5.3%−6%−4%−7%0.73C
Outside X (boundary)soft middle vs other Dtargets per route+3.7%+7%+1%+4%0.73C
Field stretcherman vs zoneyards per route+8.8%+7%+18%+1%0.73C
Inline TEtwo-high D vs other Dtargets per route−4.6%−4%−0%−9%0.77C
Early-down / grindersoft cushion vs tightyards per route−8.7%−13%−10%−3%0.83C
Three-down backpressure vs cleantargets per route−6.3%−0%−10%−6%0.85C
Receiving backtwo-high vs single-hightargets per route−4.7%−7%−6%−0%0.88C
Red-zone / jump-ballblitz vs no blitzyards per route+5.5%+7%+5%+5%0.93C
Three-down backpressure vs cleanyards per route−7.2%−1%−8%−7%0.93C
Field stretcherblitz vs no blitzyards per route+5.3%+1%+15%+0%0.93C
Outside Z / flankerman-heavy D vs other Dyards per route+3.4%+2%+7%+2%0.93C
Receiving backsoft cushion vs tighttargets per route−4.1%−3%−2%−9%0.93C
Receiving backsoft cushion vs tightyards per route−6.5%−3%−3%−11%0.93C
Outside Z / flankerman vs zonetargets per route−1.9%−2%−4%−1%0.93C
YAC / screentwo-high vs single-hightargets per route+2.2%+0%+3%+4%0.93C
Possession / chain-moverblitz vs no blitzyards per route+2.5%+2%+4%+2%0.93C

136 more tests failed (grade F) and are not listed. The TE and WR alignment roles split each position, so their rows mirror each other (move vs inline TEs).

Do role matchups beat the prop market?

We turned the role-vs-scheme results into over/under calls on consensus receiving props (role from games before kickoff, defense tendencies from before the game, effects fitted on the other seasons) and graded them. At standard −110 pricing a call needs to win 52.4% to break even. None did.

Role-based prop calls, win rate by market and season
MarketSeasonCallsWon95% interval
Receiving yards20232,56950.1%48.2%–52.1%
Receiving yards20242,42949.7%47.8%–51.7%
Receiving yards20252,61450.3%48.4%–52.2%
Receptions20231,81949.5%47.2%–51.8%
Receptions20241,59651.1%48.7%–53.6%
Receptions20251,79352.0%49.7%–54.3%
Longest reception20252,55948.3%46.4%–50.2%
Receiving yardsAll7,61250.0%48.9%–51.2%
ReceptionsAll5,20850.9%49.5%–52.2%
Longest receptionAll2,55948.3%46.4%–50.2%

How good are the role labels?

  • Slot vs outside: against Fantasy Nerds slot (SWR) depth labels, our pregame slot score has a cross-validated AUC of 0.87 and 82% accuracy (89 starting receivers; calling everyone outside scores 67%; the old short-middle rule 67%).
  • WR stretch (pregame) vs vertical-route share of targets (GO/POST/CORNER/WHEEL): r = 0.75 over 340 player-seasons (2023–25 charted routes).
  • WR YAC (pregame) vs screen/swing-route share of targets: r = 0.82 over 340 player-seasons (2023–25 charted routes).
  • WR slot (pregame) vs in-breaking route share (SLANT/IN/DRAG/ANGLE): r = 0.19 over 340 player-seasons (2023–25 charted routes).
  • TE move (pregame) vs on-field dropbacks per snap-proxy route: r = 0.63 over 180 player-seasons (2023–25 charted routes).
  • RB receiving back (pregame) vs on-field share of 3rd/4th-down plays: r = 0.74 over 228 player-seasons (2023–25 charted routes).
  • RB three-down (pregame) vs on-field share of 3rd/4th-down plays: r = 0.42 over 228 player-seasons (2023–25 charted routes).
  • X vs Z has no free charted label to check against: it leans on Next Gen Stats cushion and contested targets, so treat it as a lean.
  • Knowable before kickoff? The pregame role matched the role he actually played in that game 44% of the time for WRs (chance 36%), 73% for TEs (chance 61%) and 65% for RBs (chance 46%). One game is a small sample, so single-game roles are noisy; after a trade the WR figure is 42%. The pregame label itself stays the same from one week to the next – of the time.

Week 5 roles at a glance

The most established receivers, tight ends and backs going into Week 5. Full tags are on every player and team page.

Charting data: FTN Data via nflverse, licensed CC BY-SA 4.0; our derived charting figures are shared under the same licence. Coverage allowed by defender: Pro Football Reference via nflverse. Coverage type (man/zone, shells): nflverse participation data. Play-by-play: nflverse.

How this works

Two labels, never mixed. The pregame role for a week uses only games that kicked off earlier (recent games count more; last season counts half) and the latest depth chart published before kickoff. The game role describes what he did in that game and is used only for history. Projections, matchup notes and prop tests read the pregame role.

Features are shrunk toward the position average when the sample is small: share of targets short over the middle, aDOT, deep share, screens and throws behind the line, yards after catch over expected, contested and end-zone targets, third-down and red-zone share, Next Gen Stats cushion, and for backs carry, early-down, goal-line, target and third-down shares. Slot is a logistic model fitted to depth-chart slot labels; other traits are percentiles among 2023–25 regulars.

Role-vs-scheme tests group players by their pregame role and use per-play coverage (man/zone, shells, pressure) from 2023–25 participation data and FTN blitz charting, with routes measured as on-field dropbacks. Standard errors come from resampling players. Player splits on player pages use only data available before the week and are shrunk toward the role by how much player splits repeat (they mostly don’t).

Sources: nflverse play-by-play, participation and depth charts, FTN Data via nflverse, Next Gen Stats via nflverse, Fantasy Nerds depth chartsUpdated 2026-10-07

Frequently asked questions

Do slot receivers do better against zone coverage?

Yes, relative to other receivers. In 2023–25 slot receivers drew about 9% fewer targets per route against man coverage than outside receivers did (grade B), and outside X receivers drew about 10% more against man (grade B). These are role tendencies; an individual receiver’s own man-vs-zone split barely repeats.

How do you know if a receiver plays in the slot without charting data?

We estimate it from where and how deep he is targeted (short throws over the middle, low aDOT, screens) and from depth-chart slot labels when they exist before kickoff. Against depth-chart slot labels the estimate is right about four times in five.

Can role matchups beat player props?

Not in our tests. Calls built from role-vs-scheme effects on receiving yards, receptions and longest reception props won 48–51% in 2023–25, short of the 52.4% needed at -110.

Is a role the same every week?

Mostly. A player’s pregame role carries over to the next week about nine times in ten, and changes after trades, injuries and depth-chart moves are picked up as games accumulate.