NFL Snap Counts

Every fantasy-relevant player's offensive workload from the 2026 season: total snaps, share of their team's plays, snaps per game, and whether that role was growing or shrinking by the end of the year.

Quarterbacks by snap share

All 28 QBs →

#	Player	Snap %	Team	Snaps	Per game	G	Last 4
1	Josh Allen	100.0%	BUF	321	64.2	5	Steady
2	Dak Prescott	100.0%	DAL	325	65.0	5	Steady
3	Joe Burrow	100.0%	CIN	322	64.4	5	Steady
4	Patrick Mahomes	100.0%	KC	261	65.3	4	Steady
5	C.J. Stroud	100.0%	HOU	334	66.8	5	Steady
6	Jacoby Brissett	100.0%	ARI	351	70.2	5	Steady
7	Geno Smith	100.0%	NYJ	309	61.8	5	Steady
8	Tyler Shough	100.0%	NO	351	70.2	5	Steady
9	Daniel Jones	100.0%	IND	327	65.4	5	Steady
10	Malik Willis	100.0%	MIA	293	58.6	5	Steady
11	Cam Ward	100.0%	TEN	290	58.0	5	Steady
12	Justin Herbert	100.0%	LAC	330	66.0	5	Steady
13	Deshaun Watson	99.8%	CLE	310	62.0	5	Steady
14	Bo Nix	99.6%	DEN	307	61.4	5	Steady
15	Jordan Love	99.4%	GB	312	62.4	5	Steady

Running Backs by snap share

All 73 RBs →

#	Player	Snap %	Team	Snaps	Per game	G	Last 4
1	Jonathan Taylor	82.4%	IND	268	53.6	5	Falling
2	Javonte Williams	77.2%	DAL	250	50.0	5	Steady
3	Jahmyr Gibbs	76.6%	DET	264	52.8	5	Falling
4	Jaylen Warren	76.4%	PIT	253	50.6	5	Rising
5	Chuba Hubbard	76.0%	CAR	219	54.8	4	Rising
6	Kenneth Walker III	74.5%	KC	196	49.0	4	Steady
7	Aaron Jones	73.4%	MIN	238	47.6	5	Steady
8	Ashton Jeanty	71.8%	LV	248	49.6	5	Falling
9	Christian McCaffrey	69.2%	SF	206	41.2	5	Rising
10	Kyren Williams	69.2%	LA	264	52.8	5	Rising
11	Bijan Robinson	68.2%	ATL	218	43.6	5	Rising
12	James Cook	66.8%	BUF	216	43.2	5	Falling
13	Cam Skattebo	64.8%	NYG	224	44.8	5	Steady
14	Rhamondre Stevenson	62.0%	NE	216	43.2	5	Rising
15	Bucky Irving	60.8%	TB	198	39.6	5	Falling

Wide Receivers by snap share

All 128 WRs →

#	Player	Snap %	Team	Snaps	Per game	G	Last 4
1	DK Metcalf	95.4%	PIT	316	63.2	5	Steady
2	Denzel Boston	92.0%	CLE	286	57.2	5	Steady
3	Devaughn Vele	92.0%	NO	321	64.2	5	Steady
4	Jordan Addison	91.3%	MIN	233	58.3	4	Rising
5	Jameson Williams	90.2%	DET	310	62.0	5	Falling
6	Garrett Wilson	90.0%	NYJ	274	54.8	5	Steady
7	Michael Wilson	90.0%	ARI	315	63.0	5	Falling
8	Amon-Ra St. Brown	88.2%	DET	304	60.8	5	Falling
9	Drake London	88.0%	ATL	282	56.4	5	Rising
10	Tetairoa McMillan	86.5%	CAR	249	62.3	4	Steady
11	Chris Olave	86.2%	NO	301	60.2	5	Steady
12	Emeka Egbuka	85.8%	TB	279	55.8	5	Steady
13	Malik Washington	84.8%	MIA	248	49.6	5	Steady
14	George Pickens	83.8%	DAL	274	54.8	5	Rising
15	Dontayvion Wicks	83.4%	PHI	249	49.8	5	Rising

Tight Ends by snap share

All 62 TEs →

#	Player	Snap %	Team	Snaps	Per game	G	Last 4
1	Cade Otton	93.6%	TB	305	61.0	5	Steady
2	Tyler Warren	91.0%	IND	298	59.6	5	Steady
3	Trey McBride	89.2%	ARI	313	62.6	5	Steady
4	AJ Barner	88.8%	SEA	275	55.0	5	Rising
5	Sam LaPorta	87.8%	DET	301	60.2	5	Falling
6	Harold Fannin Jr.	87.2%	CLE	272	54.4	5	Steady
7	Colston Loveland	84.8%	CHI	327	65.4	5	Steady
8	Tucker Kraft	81.8%	GB	255	51.0	5	Falling
9	Michael Mayer	81.0%	LV	282	56.4	5	Falling
10	Travis Kelce	79.5%	KC	208	52.0	4	Rising
11	Brenton Strange	79.2%	JAX	247	49.4	5	Steady
12	Gunnar Helm	77.6%	TEN	224	44.8	5	Falling
13	Hunter Henry	73.0%	NE	245	49.0	5	Falling
14	George Kittle	72.4%	SF	216	43.2	5	Rising
15	Jake Ferguson	71.8%	DAL	233	46.6	5	Rising

Top 15 per position, 2026 regular season. Players with fewer than four games are excluded: a 90% snap share over two appearances says more about when someone was healthy than about their role. The per-position pages run the full list.

Why snap share is the first number to check

Fantasy scoring is downstream of opportunity, and opportunity starts with being on the field. A running back who plays 40% of snaps can post a useful week on a short touchdown, but he needs that touchdown. A back at 75% gets carries, routes, and goal-line work whether or not the script cooperates. Over a season the high-snap player is the safer weekly start almost regardless of talent.

Snap share is also the earliest honest signal of a role change. Target share and carry counts move after a coach commits; snaps move as he commits. A receiver whose share climbs from 55% to 80% over a month is being trusted with more, and the box score usually catches up a week or two later. That gap is where waiver-wire edges live.

How to read these columns

Snap %: share of the team's offensive plays the player was on the field for, averaged across games played. The column this page sorts by.
Snaps: total offensive snaps for the season. Useful for separating a full-time player from someone who missed time.
Per game: raw snaps per appearance. Two players at the same share can differ by ten snaps a game if one offense simply runs more plays.
G: games played. Read every other column through this one.
Last 4: direction of snap share over the final four weeks. "Rising" and "Falling" mean at least an eight-point move; anything smaller reads as steady, and fewer than three weeks of data shows a dash rather than a guess.

Common questions

What is a snap count in fantasy football?: A snap count is the number of offensive plays a player was on the field for. Snap share turns that into a percentage of his team's total plays, which is the fairer comparison because offenses run very different numbers of plays.
What is a good snap share by position?: Roughly: starting quarterbacks live near 100%. A workhorse running back is above 65%, and a committee back sits between 35% and 55%. A team's top receiver is usually above 80%, with 60% or better indicating a full-time role. Tight ends vary most, because many are used as blockers: 75% and up marks a genuine receiving threat.
Does a high snap count guarantee fantasy points?: No. Snaps measure opportunity, not efficiency or scoring. A blocking tight end can play nearly every snap and see three targets. Snap share is best used to confirm a role is real before you trust one good box score, and to spot a role changing before the scoring catches up.
Why does a player have a high snap share but few games?: Snap share is averaged across games actually played, so a player who was hurt most of the year can still show a high percentage. This page only lists players with at least four games, and the games column is there to be read alongside every other number.
How often do snap counts update?: These tables refresh hourly against the latest published play-by-play, so in-season they reflect the most recent completed week. Between seasons they show the last completed year, which is what matters for draft prep.

Where to take this next

Snap share tells you who is on the field. To turn that into a lineup decision, pair it with weekly rankings for the matchup, the start/sit tool for a head-to-head call, waivers and trends for who is being added elsewhere, and depth charts for the roles behind them.

NFL Snap Counts

Quarterbacks by snap share

All 28 QBs →

#	Player	Snap %	Team	Snaps	Per game	G	Last 4
1	Josh Allen	100.0%	BUF	321	64.2	5	Steady
2	Dak Prescott	100.0%	DAL	325	65.0	5	Steady
3	Joe Burrow	100.0%	CIN	322	64.4	5	Steady
4	Patrick Mahomes	100.0%	KC	261	65.3	4	Steady
5	C.J. Stroud	100.0%	HOU	334	66.8	5	Steady
6	Jacoby Brissett	100.0%	ARI	351	70.2	5	Steady
7	Geno Smith	100.0%	NYJ	309	61.8	5	Steady
8	Tyler Shough	100.0%	NO	351	70.2	5	Steady
9	Daniel Jones	100.0%	IND	327	65.4	5	Steady
10	Malik Willis	100.0%	MIA	293	58.6	5	Steady
11	Cam Ward	100.0%	TEN	290	58.0	5	Steady
12	Justin Herbert	100.0%	LAC	330	66.0	5	Steady
13	Deshaun Watson	99.8%	CLE	310	62.0	5	Steady
14	Bo Nix	99.6%	DEN	307	61.4	5	Steady
15	Jordan Love	99.4%	GB	312	62.4	5	Steady

Running Backs by snap share

All 73 RBs →

#	Player	Snap %	Team	Snaps	Per game	G	Last 4
1	Jonathan Taylor	82.4%	IND	268	53.6	5	Falling
2	Javonte Williams	77.2%	DAL	250	50.0	5	Steady
3	Jahmyr Gibbs	76.6%	DET	264	52.8	5	Falling
4	Jaylen Warren	76.4%	PIT	253	50.6	5	Rising
5	Chuba Hubbard	76.0%	CAR	219	54.8	4	Rising
6	Kenneth Walker III	74.5%	KC	196	49.0	4	Steady
7	Aaron Jones	73.4%	MIN	238	47.6	5	Steady
8	Ashton Jeanty	71.8%	LV	248	49.6	5	Falling
9	Christian McCaffrey	69.2%	SF	206	41.2	5	Rising
10	Kyren Williams	69.2%	LA	264	52.8	5	Rising
11	Bijan Robinson	68.2%	ATL	218	43.6	5	Rising
12	James Cook	66.8%	BUF	216	43.2	5	Falling
13	Cam Skattebo	64.8%	NYG	224	44.8	5	Steady
14	Rhamondre Stevenson	62.0%	NE	216	43.2	5	Rising
15	Bucky Irving	60.8%	TB	198	39.6	5	Falling

Wide Receivers by snap share

All 128 WRs →

#	Player	Snap %	Team	Snaps	Per game	G	Last 4
1	DK Metcalf	95.4%	PIT	316	63.2	5	Steady
2	Denzel Boston	92.0%	CLE	286	57.2	5	Steady
3	Devaughn Vele	92.0%	NO	321	64.2	5	Steady
4	Jordan Addison	91.3%	MIN	233	58.3	4	Rising
5	Jameson Williams	90.2%	DET	310	62.0	5	Falling
6	Garrett Wilson	90.0%	NYJ	274	54.8	5	Steady
7	Michael Wilson	90.0%	ARI	315	63.0	5	Falling
8	Amon-Ra St. Brown	88.2%	DET	304	60.8	5	Falling
9	Drake London	88.0%	ATL	282	56.4	5	Rising
10	Tetairoa McMillan	86.5%	CAR	249	62.3	4	Steady
11	Chris Olave	86.2%	NO	301	60.2	5	Steady
12	Emeka Egbuka	85.8%	TB	279	55.8	5	Steady
13	Malik Washington	84.8%	MIA	248	49.6	5	Steady
14	George Pickens	83.8%	DAL	274	54.8	5	Rising
15	Dontayvion Wicks	83.4%	PHI	249	49.8	5	Rising

Tight Ends by snap share

All 62 TEs →

#	Player	Snap %	Team	Snaps	Per game	G	Last 4
1	Cade Otton	93.6%	TB	305	61.0	5	Steady
2	Tyler Warren	91.0%	IND	298	59.6	5	Steady
3	Trey McBride	89.2%	ARI	313	62.6	5	Steady
4	AJ Barner	88.8%	SEA	275	55.0	5	Rising
5	Sam LaPorta	87.8%	DET	301	60.2	5	Falling
6	Harold Fannin Jr.	87.2%	CLE	272	54.4	5	Steady
7	Colston Loveland	84.8%	CHI	327	65.4	5	Steady
8	Tucker Kraft	81.8%	GB	255	51.0	5	Falling
9	Michael Mayer	81.0%	LV	282	56.4	5	Falling
10	Travis Kelce	79.5%	KC	208	52.0	4	Rising
11	Brenton Strange	79.2%	JAX	247	49.4	5	Steady
12	Gunnar Helm	77.6%	TEN	224	44.8	5	Falling
13	Hunter Henry	73.0%	NE	245	49.0	5	Falling
14	George Kittle	72.4%	SF	216	43.2	5	Rising
15	Jake Ferguson	71.8%	DAL	233	46.6	5	Rising

Why snap share is the first number to check

How to read these columns

Snap %: share of the team's offensive plays the player was on the field for, averaged across games played. The column this page sorts by.

Snaps: total offensive snaps for the season. Useful for separating a full-time player from someone who missed time.

Per game: raw snaps per appearance. Two players at the same share can differ by ten snaps a game if one offense simply runs more plays.

G: games played. Read every other column through this one.

Last 4: direction of snap share over the final four weeks. "Rising" and "Falling" mean at least an eight-point move; anything smaller reads as steady, and fewer than three weeks of data shows a dash rather than a guess.

Common questions

What is a snap count in fantasy football?

A snap count is the number of offensive plays a player was on the field for. Snap share turns that into a percentage of his team's total plays, which is the fairer comparison because offenses run very different numbers of plays.

What is a good snap share by position?

Roughly: starting quarterbacks live near 100%. A workhorse running back is above 65%, and a committee back sits between 35% and 55%. A team's top receiver is usually above 80%, with 60% or better indicating a full-time role. Tight ends vary most, because many are used as blockers: 75% and up marks a genuine receiving threat.

Does a high snap count guarantee fantasy points?

No. Snaps measure opportunity, not efficiency or scoring. A blocking tight end can play nearly every snap and see three targets. Snap share is best used to confirm a role is real before you trust one good box score, and to spot a role changing before the scoring catches up.

Why does a player have a high snap share but few games?

Snap share is averaged across games actually played, so a player who was hurt most of the year can still show a high percentage. This page only lists players with at least four games, and the games column is there to be read alongside every other number.

How often do snap counts update?

These tables refresh hourly against the latest published play-by-play, so in-season they reflect the most recent completed week. Between seasons they show the last completed year, which is what matters for draft prep.