Schemes

How all 32 offenses were run in 2025, and what each tendency is worth in fantasy points. For what a coach does, see the Coaches tab.

Everything on this page is 2025 season data — last year's offenses, used as the starting point for 2026. That includes every playcaller name below: it's who called plays in 2025, not necessarily who's calling them for 2026 — 20 of 32 teams have a new one, marked NEW wherever a chart names a playcaller.

How each 2025 offense was run

Labels = who called the plays. Hover a logo for exact numbers.

Scoring:

Motion helps running backs the most — not receivers

Motion-heavy offenses' RB1 outscores motion-light by +4.5 pts/g — the biggest gap of any position.

Position: — the chart follows this; the table below shows all four at once.

Does pre-snap motion score fantasy points? — best player per team, fantasy points per game

Position	Motion heavy8 teams · avg 64.6%	Motion light8 teams · avg 46%	Difference	Who it favors
QB	16.8	15.7	+1.1	motion
RB	15.3	10.8	+4.5	motion
WR	12	10.2	+1.8	motion
TE	8.3	8.1	+0.2	no real difference

Motion heavy: MIA, ATL, SF, LA, NYJ, BUF, NO, TB · Motion light: CLE, DEN, KC, PHI, TEN, ARI, CAR, NYG

Pre-snap motion, measured play by play — every charted snap, 4 seasons

Position		Fantasy pts / route	Fantasy pts / target	Catch %	Yards / target	TD %	Targets / route
WR40,755 targets	With pre-snap motion	0.271	1.434	64.8%	7.94	5.28%	18.9%
	Without	0.252	1.358	61.2%	7.89	4.39%	18.6%
	Difference	+7.5%	+5.6%	+5.9%	+0.6%	+20.3%	+1.6%
TE15,221 targets	With pre-snap motion	0.223	1.460	71.6%	7.33	6.14%	15.3%
	Without	0.201	1.325	70.4%	7.18	4.24%	15.2%
	Difference	+10.9%	+10.2%	+1.7%	+2.1%	+44.8%	+0.7%
RB12,553 targets	With pre-snap motion	0.175	1.173	78.4%	5.78	3.38%	14.9%
	Without	0.161	1.112	77.2%	5.63	2.72%	14.5%
	Difference	+8.7%	+5.5%	+1.6%	+2.7%	+24.3%	+2.8%

Pass identity × personnel

Right = pass-leaning by choice · up = heavier personnel.

Every playcaller's PROE, ranked 2025

Positive = threw more than the situation called for; negative = ran more. 2025 only — no other season is tracked and nobody publishes a PROE forecast to show alongside it. Names are who called plays in 2025 — 20 of 32 teams have a different offensive coordinator for 2026, flagged below.

Matt Nagy+4.4→ Eric Bieniemy in '26

Drew Petzing+4.1NYJ→ARI: Nathaniel Hackett

Mike LaFleur+3.5→ Nate Scheelhaase in '26

Dan Pitcher+2.8

Grant Udinski+2.3

Josh McDaniels+1.6

Greg Roman+1.2MIA→LAC: Mike McDaniel

Joe Lombardi+0.8→ Davis Webb in '26

Chip Kelly-0.8SEA→LV: Klint Kubiak

Jim Bob Cooter-1

Arthur Smith-1DAL→PIT: Mike McCarthy

Kyle Shanahan-1.1

Klayton Adams-1.2

Nick Caley-1.4

Wes Phillips-2

Kevin Patullo-2.4→ Sean Mannion in '26

Kliff Kingsbury-2.4→ David Blough in '26

Joe Brady-3.1

Josh Grizzard-3.3ATL→TB: Zac Robinson

Doug Nussmeier-3.4

Adam Stenavich-3.5

Tommy Rees-4.2→ Travis Switzer in '26

Declan Doyle-4.4→ Ben Johnson in '26

Nick Holz-4.4NYG→TEN: Brian Daboll

Mike Kafka-4.5KC→NYG: Matt Nagy

John Morton-4.9ARI→DET: Drew Petzing

Brad Idzik-5

Zac Robinson-5.8CLE→ATL: Tommy Rees

Klint Kubiak-5.9→ Brian Fleury in '26

Mike McDaniel-6.8HOU→MIA: Bobby Slowik

Todd Monken-9CHI→BAL: Declan Doyle

Tanner Engstrand-10.8CAR→NYJ: Frank Reich

Designed targets, by playcaller 2025

Screens and RPOs are decided before the snap — the ball is scheduled to a spot, not earned by a receiver winning his route after it. Motion and play-action get their own sections above/below since those manipulate coverage rather than pre-select the target; this is specifically the two purest "the play design creates the look" mechanisms, summed. 2025 only — names are who called plays in 2025, and 20 of 32 teams have a different offensive coordinator for 2026, flagged below.

Matt Nagy24%→ Eric Bieniemy in '26

Arthur Smith23%DAL→PIT: Mike McCarthy

Nick Holz22%NYG→TEN: Brian Daboll

Joe Lombardi21%→ Davis Webb in '26

Mike Kafka19%KC→NYG: Matt Nagy

Josh Grizzard19%ATL→TB: Zac Robinson

Adam Stenavich18%

Mike McDaniel18%HOU→MIA: Bobby Slowik

Joe Brady17%

Brad Idzik17%

Kliff Kingsbury17%→ David Blough in '26

Dan Pitcher16%

Tanner Engstrand16%CAR→NYJ: Frank Reich

Jim Bob Cooter15%

Zac Robinson14%CLE→ATL: Tommy Rees

Todd Monken14%CHI→BAL: Declan Doyle

Declan Doyle14%→ Ben Johnson in '26

John Morton14%ARI→DET: Drew Petzing

Grant Udinski14%

Wes Phillips14%

Tommy Rees13%→ Travis Switzer in '26

Drew Petzing12%NYJ→ARI: Nathaniel Hackett

Chip Kelly12%SEA→LV: Klint Kubiak

Doug Nussmeier12%

Kevin Patullo12%→ Sean Mannion in '26

Klayton Adams11%

Greg Roman8%MIA→LAC: Mike McDaniel

Klint Kubiak8%→ Brian Fleury in '26

Nick Caley7%

Josh McDaniels7%

Kyle Shanahan7%

Mike LaFleur6%→ Nate Scheelhaase in '26

The highest-scoring offense wasn't the fastest one

LA led the league in scoring (30.5 ppg) running fewer plays than the pace leaders — pace buys possessions, not points.

Right = faster · up = higher scoring.

2-WR sets feed the run game, not the No. 1 WR

RB scores +3.2 pts/g more in 2-WR sets, TE +2.2 — QB scores -1.8 more in 3-WR spread instead.

Best player at each position, fantasy points per game — 2-WR-heavy offenses vs. 3-WR spread, 8 teams each side.

QB-1.8

RB+3.2

WR+0.3

TE+2.2

Do 2-WR offenses score more fantasy points? — best player per team, fantasy points per game

Position	2-WR heavy8 teams · avg 59.7%	3-WR spread8 teams · avg 35.8%	Difference	Who it favors
QB	14.5	16.3	-1.8	3-WR sets
RB	14.5	11.3	+3.2	2-WR sets
WR	11.3	11	+0.3	no real difference
TE	9.3	7.1	+2.2	2-WR sets

2-WR heavy: BAL, PIT, SF, ATL, SEA, CLE, MIA, ARI · 3-WR spread: DEN, TB, LAC, TEN, DAL, JAX, NO, HOU

Scoring:

Does play-action score fantasy points?

Position: — the chart follows this; the table below shows all four at once.

Does play-action score fantasy points? — best player per team, fantasy points per game

Position	Play-action heavy8 teams · avg 27.8%	Play-action light8 teams · avg 17.8%	Difference	Who it favors
QB	17.3	15.3	+2	play-action
RB	14.2	12	+2.2	play-action
WR	11.5	12.1	-0.6	no real difference
TE	8.1	6.9	+1.2	play-action

Play-action heavy: LA, CHI, IND, DAL, MIA, BUF, MIN, WAS · Play-action light: ATL, PIT, TEN, NO, NYJ, TB, CIN, KC

Play-action, measured play by play — every charted snap, 4 seasons

Position		Fantasy pts / route	Fantasy pts / target	Catch %	Yards / target	TD %	Targets / route
WR40,755 targets	With play-action	0.312	1.627	65.7%	9.76	5.37%	19.2%
	Without	0.248	1.335	62.1%	7.46	4.64%	18.6%
	Difference	+25.8%	+21.9%	+5.8%	+30.8%	+15.7%	+3.2%
TE15,221 targets	With play-action	0.251	1.558	73.9%	7.82	6.78%	16.1%
	Without	0.197	1.322	69.8%	7.04	4.49%	14.9%
	Difference	+27.4%	+17.9%	+5.9%	+11.1%	+51%	+8.1%
RB12,553 targets	With play-action	0.167	1.250	79.2%	6.58	3.27%	13.3%
	Without	0.167	1.110	77.4%	5.46	2.96%	15.1%
	Difference	0%	+12.6%	+2.3%	+20.5%	+10.5%	-11.9%

Play-action does not help running backs the way it looks like it does

A back scores 12.6% more per target on play-action — but 0% more per route. The extra points come from which targets he gets, not from the offense looking at him more often. Receivers are the opposite: +25.8% per route for a WR and +27.4% for a tight end, which is real added value rather than a reshuffle.

Top 12 quarterbacks on play-action and motion

Ranked by passer rating with the condition. Gain is the difference against his own rate without it — a quarterback who is merely good everywhere is not the same find as one the scheme unlocks.

Condition: Seasons:

#	Quarterback	Att	Used on	Rating with	without	Gain	Cmp % with	without	EPA / dropback with	without
1	Lamar Jackson BAL	380	23.5%	128.5	98.6	+29.9	72.4%	63.2%	0.37	0.09
2	Brock Purdy SF	292	21.8%	124	98.8	+25.2	72.3%	67%	0.34	0.20
3	Drake Maye NE	173	21.4%	118.4	98.7	+19.7	71.7%	68.9%	0.28	0.17
4	Jared Goff DET	641	27.4%	117.7	98.2	+19.5	71%	67.1%	0.32	0.12
5	Matthew Stafford LA	522	26.6%	117.3	89.8	+27.5	70.1%	63.2%	0.29	0.02
6	Sam Darnold SEA	322	26.3%	115.4	94.2	+21.2	66.1%	66%	0.26	0.06
7	Jordan Love GB	329	22.4%	111.6	93.9	+17.7	68.4%	63.3%	0.31	0.14
8	Josh Allen BUF	435	19.9%	111.2	93.9	+17.3	69.9%	64.2%	0.29	0.19
9	Will Levis TEN	135	23.8%	110.6	73.6	+37	65.9%	59.2%	0.16	-0.18
10	Justin Herbert LAC	556	25.8%	109.7	90.5	+19.2	72.5%	64.6%	0.15	0.03
11	Cam Ward TEN	100	18.9%	109.6	74.1	+35.5	62%	59.7%	-0.02	-0.20
12	C.J. Stroud HOU	331	23.6%	109.6	89	+20.6	67.1%	63.1%	0.21	0.02

IND vacated more 2025 targets than any other team

IND lost 185 real 2025 targets when Michael Pittman and Adonai Mitchell left — the most of any team, and volume somebody on the 2026 roster inherits.

2025 targets belonging to a player who is traded, signed elsewhere, or unsigned for 2026 — not who inherits them, just how much real volume is actually up for grabs.

IND185

WR Michael Pittman 111 → PIT · WR Adonai Mitchell 74 → NYJ

MIA149

WR Jaylen Waddle 100 → DEN · WR Tyreek Hill 29 (unsigned) · TE Julian Hill 20 → NE · WR A.J. Green 0 (unsigned) · QB Tua Tagovailoa 0 → ATL

GB148

WR Romeo Doubs 85 → NE · WR Dontayvion Wicks 46 → PHI · RB Emanuel Wilson 17 → SEA · QB Malik Willis 0 → MIA

NYG140

WR Wan'Dale Robinson 140 → TEN

LAC122

WR Keenan Allen 122 → IND

PHI121

WR A.J. Brown 121 → NE

TB107

WR Mike Evans 62 → SF · RB Rachaad White 45 → WAS

NE102

WR Stefon Diggs 102 → WAS

SF102

WR Jauan Jennings 90 → MIN · RB Brian Robinson 12 → ATL

NO92

WR Rashid Shaheed 92 → SEA

CHI90

WR DJ Moore 85 → BUF · WR Devin Duvernay 5 → ARI

MIN88

WR Jalen Nailor 53 → LV · WR Adam Thielen 35 (unsigned)

ATL88

WR Darnell Mooney 72 → NYG · RB Tyler Allgeier 16 → ARI

PIT85

RB Kenny Gainwell 85 → TB

TEN79

TE Chig Okonkwo 79 → WAS · QB Brandon Allen 0 → NYG

CLE57

TE David Njoku 48 → LAC · RB Trayveon Williams 9 → DET · WR Kaden Davis 0 → CHI

JAX52

RB Travis Etienne 52 → NO

CAR50

RB Rico Dowdle 50 → PIT

BAL48

TE Isaiah Likely 36 → NYG · RB Keaton Mitchell 12 → LAC

SEA36

RB Kenneth Walker 36 → KC

DET29

RB David Montgomery 29 → HOU

KC26

RB Isiah Pacheco 26 → DET · QB Gardner Minshew 0 → ARI

NYJ18

WR Allen Lazard 18 (unsigned)

LV0

QB Geno Smith 0 → NYJ

ARI0

QB Kyler Murray 0 → MIN

DAL0

WR Jalen Moreno-Cropper 0 → NO

Who gets the targets

Sort:

ARI

WR 45RB 20TE 35

ATL

WR 53RB 23TE 25

BAL

WR 52RB 18TE 30

BUF

WR 56RB 18TE 25

CAR

WR 60RB 19TE 21

CHI

WR 59RB 15TE 26

CIN

WR 60RB 18TE 21

CLE

WR 45RB 23TE 32

DAL

WR 64RB 14TE 23

DEN

WR 61RB 19TE 20

DET

WR 61RB 22TE 17

WR 62RB 17TE 21

HOU

WR 63RB 14TE 24

IND

WR 59RB 15TE 26

JAX

WR 64RB 16TE 21

WR 57RB 16TE 27

WR 63RB 11TE 26

LAC

WR 69RB 13TE 18

WR 49RB 19TE 32

MIA

WR 54RB 23TE 23

MIN

WR 63RB 17TE 20

WR 59RB 17TE 24

WR 61RB 14TE 25

NYG

WR 60RB 20TE 20

NYJ

WR 59RB 18TE 23

PHI

WR 63RB 15TE 22

PIT

WR 45RB 26TE 29

SEA

WR 64RB 14TE 22

WR 48RB 27TE 25

WR 67RB 17TE 16

TEN

WR 56RB 18TE 26

WAS

WR 63RB 13TE 24

All 32 offenses

Team	Favors	Pass%	PROE	2-WR%	Motion%	PA%	Deep%	PPG	Plays/g
ARI	balanced	64.6	+4.1	55	44	25	10	20.9	63.2
ATL	RB	55.4	-5.8	58	67	20	11	20.8	60.9
BAL	RB	49	-9	72	54	22	11	24.9	56.2
BUF	RB	52.9	-3.1	43	62	26	11	28.3	63.3
CAR	RB	54.5	-5	40	44	22	9	18.3	58.8
CHI	RB	55.4	-4.4	49	59	30	16	25.9	66.1
CIN	balanced	64.8	+2.8	39	53	16	11	24.4	61.7
CLE	balanced	56.9	-4.2	56	50	22	10	16.4	60.5
DAL	QB	59.1	-1.2	35	59	27	11	27.7	64.9
DEN	QB	60.8	+0.8	39	50	24	12	23.6	63.3
DET	WR	59.8	-4.9	42	60	25	7	28.3	61.8
GB	RB	54.2	-3.5	51	55	25	15	23	59.1
HOU	balanced	57.9	-1.4	33	55	22	11	23.8	64
IND	balanced	58.2	-1	42	53	28	10	27.4	59.5
JAX	QB	58.4	+2.3	34	60	22	14	27.9	62.7
KC	balanced	61.6	+4.4	46	50	15	13	21.3	61.6
LA	balanced	62.6	+3.5	44	63	32	16	30.5	63
LAC	QB	59	+1.2	36	52	23	13	21.6	63.3
LV	TE	60.4	-0.8	46	52	25	10	14.2	55.4
MIA	RB	54.5	-6.8	56	71	27	10	20.4	55.4
MIN	WR	58.1	-2	43	52	26	12	20.2	55.5
NE	balanced	55.8	+1.6	52	51	22	16	28.8	60.4
NO	balanced	58.2	-3.4	34	62	18	13	18	62.6
NYG	RB	53	-4.5	42	39	23	14	22.4	63.5
NYJ	RB	49.2	-10.8	40	63	18	9	17.6	59.4
PHI	RB	55.1	-2.4	42	46	22	14	22.3	59.3
PIT	TE	59.8	-1	63	55	19	10	23.4	57.3
SEA	RB	55.5	-5.9	57	58	25	11	28.4	59.2
SF	balanced	57.2	-1.1	60	67	22	10	25.7	62.1
TB	RB	55.2	-3.3	37	62	17	12	22.4	62.6
TEN	balanced	58.7	-4.4	36	45	19	10	16.7	58.5
WAS	RB	52.7	-2.4	41	55	26	13	20.9	57.6