WR · NE · GWTTKB

A.J. Brown — fantasy football 2026

Every game, every stat category, and what the board says. 14.69 points per game in 2025, an ADP of 23.6, usage worth 13.7.

29 years old · 7 seasons of experience · 2019 draft class

Updated 2026-08-16 · free, no account, no paywall
Every figure below comes from our database. Where a stat is not held, the row is absent rather than zero.
ADP 23.6
Consensus across 4 books, standard deviation 3.8, 8.8 picks between cheapest and priciest. Cheapest on espn, priciest on sleeper.
SLEEPER18.3
ESPN27.1
YAHOO25.4
UNDERDOG18.8
CBS23.4
FFA21

Draft-room facts

Goes aroundRound 2, pick 12 in a 12-team draft
Positional rankWR8
Bye week11
ADP standard deviation3.8 picks

What we project for 2026

Our board has him at 242.7 points, 14.8 per game — 81.1 catches, 1,136 yards, 8 TDs. That is WR2, 21 overall.

The range runs from a floor of 10.3 points per game to a ceiling of 18.8, with the median at 14.8. Boom rate 27%, bust rate 31%. The spread is the actual bet, not the middle number.

He goes at 23.6 on consensus and our board has him 21. Those agree, so there is no market disagreement to exploit. The question is whether you want the profile, not whether it is mispriced.

Our written view

a genuinely bad statistical season by his OWN underlying metrics too, not just bad luck around him — route-success-rate and man/press/zone splits actually fell off. Read as partly motivation-driven; reportedly unhappy in Philly, which is thought to have shown up as real effort issues on top of the scheme problems. Expected to be extra-motivated in a fresh situation with better QB volume and accuracy.

buy · medium conviction · 2026-08

The offense he plays in, 2026

New England Patriots returns 4 of 6 continuity slots, replacing wr1, rb1. Drake Maye at quarterback, Mike Vrabel as head coach, Josh McDaniels calling it. The offense projects to 30.7 pass attempts a game at high confidence and 28.3 rushes.

In: Tommy DeVito (qb2), A.J. Brown (wr1), Romeo Doubs (wr2), Jam Miller (rb3), Lan Larison (rb4), Eli Raridon (te2). Out: Stefon Diggs (wr1), Antonio Gibson (rb3), Austin Hooper (te2).

His own projected target share for 2026 is 23.1%, with a bear case of 22% and a bull case of 25.4% and a full range of 20.3% to 26.7%. That comes from 29 historical comparables, not from a depth chart.

The projected target split across the offense:

A.J. Brown 23.1%
Kayshon Boutte10.5%
Hunter Henry9.9%
Demario Douglas9.7%
TreVeyon Henderson9.4%
Romeo Doubs9.3%

Our written view on this offense in 2026

What the offense looks like: This is an offense that is only getting better. TreVeyon Henderson COULD become the true featured RB on this high powered offense. AJ Brown could produce 2-3 more years at a VERY high level before fading. Romeo Doubs fits in very well and if his connection builds with Maye, he could be a very viable WR2 in PPR formats.

Key additions: Romeo Doubs WR from GB on 4 year deal, AJ Brown traded to Patriots by Eagles in June 2026 (will be teams WR1 in 2026). Drafted Caleb Lomu 1st round LT. Drafted TE Eli Raridon 3rd round. Drafted RB Jam Miller 7th round.

Key departures: WR Stefon Diggs (released), RB Antonio Gibson (released), TE Austin Hooper (signed with Falcons), OT Vederian Lowe signed with 49ers (depth)

Notes: Maye dynasty franchise QB. Patriots signed Romeo Doubs from Packers (huge potential and solid player could be WR2). The Patriots WILL trade for AJ Brown from Eagles & he will be their WR1 next year. He has MASSIVE potential with Drake Maye. Henderson should operate as lead back in 2026, but Vrabel has done strange things with playing time for backs & Stevenson will work in. Henry is still TE1, but drafted Raridon round 3 TE — Vrabel uses TEs.

How the volume number was reached: Same QB Drake Maye returning — anchor to 2025 actuals (29.5 att/g); Regressed 30% toward league mean 33.5, floored at 30 → 30.7 att/g.

How that share projection was built

29 historical comps for WRs age ~28, prior share 29.8%, team change, OC continuity. Distribution: median 23.5%, p25-p75 [20.8%, 27.1%], tails [17.6%, 29.5%]. Closest comps: A.J. Brown 2021→2022 (TEN→PHI: 27.5%→28.4%); Davante Adams 2024→2025 (LV→LA: 31.0%→24.4%); Keenan Allen 2023→2024 (LAC→CHI: 28.2%→26.5%). Adjustment: -3% from mixed_decline (conflicting signals)

arrival self-anchored 41% to own 29.8% role (3yr)

The named comps are the closest historical matches and the arrow is what their share actually did the following season. That is the working, not a summary of it — if you disagree with the projection, this is the part to argue with.

Offensive environment: NE rates 24.2 against a league average of 23, 1.2 points above it on opponent-adjusted least squares (multi-capture merge).

2026 schedule

Opponent-adjusted pass defense faced, against 2025 ratings. Positive is an easier slate.

Full season-3.2 · harder
Weeks 1–6-0.7 · neutral
Weeks 12–17-12.5 · harder
Fantasy playoffs (15–17)-4 · harder

Read this narrowly. Our own testing found that season-long strength of schedule does not survive as a draft input — defensive quality is among the least stable team properties year to year, and a preseason slate is built on last year's identities. The playoff-weeks column is the only one we would let break a tie, and even then it is a tiebreaker rather than a reason. The finding.

What happened when he missed time

From the absence record rather than a depth chart — who actually gained when he was out.

SeasonGames missedMain beneficiaryTheir PPR gain
20242Ainias Smith+12
20212Josh Reynolds+9.5
20202Kalif Raymond+6.3

Dynasty context not redraft

Everything in this section is about his dynasty trade value — what he is worth as a long-term asset in the trade market. It is not a forecast of his 2026 fantasy scoring. A player can be a fine redraft pick while his dynasty value falls, and the reverse. The redraft read is above; this is a different question with a different answer.

Where he sits in the dynasty value cycle

His dynasty value has moved -14% over the last twelve months. The market cycle classifies him as stable.

For context on how long this lasts at the position: the average career at his position produces 2.1 elite seasons and 2.6 startable seasons.

The five most similar seasons, and what their dynasty value did next

Matched on production profile — production-driven (pedigree ignored). The last column is how that player’s dynasty value moved the following year — a market outcome, not a scoring one.

PlayerSeasonTheir PPGSimilarityNext year
Terry McLaurin202415.873%-16.4%
Keenan Allen202412.363%-7%
Stefon Diggs202316.162%-19.8%
Mike Evans202417.262%-16.5%
Amari Cooper202315.161%-18.9%

Of the 5 with a following season on record, 0 gained value, 5 lost it and 0 held roughly flat.

Four years of dynasty value

02,0004,0006,0008,000202120222023202420252026
Monthly superflex value, 2020-04 to 2026-07. Down 26% across the series, peaking at 8,168.

The player

Draft capital and athletic profile

Drafted2019, round 2, pick 51 by TEN
CollegeMississippi
Age at draft22
Height6′0″
Weight226 lb
40-yard dash4.49s
Vertical36.5″
Broad jump120″

Availability and volatility

Career PPR per game16.6
Week-to-week variation0.6
Boom rate25.4%
Bust rate15.5%
Games missed per season1.3
Injury historyKnee, Hamstring, Chest
Correlation between his posted line and his actual score0.3

That correlation is how closely the books’ posted line tracked what he actually scored, week to week. A higher number means the market has him figured out and there is less to exploit; a lower one means his weeks are harder to price.

Injury type matters more than games missed. Measured across our injury database, knee and foot returns stay below a player’s pre-injury baseline for all three of the first games back, while hamstring returns over-recover by the third.

The record, season by season

2025 · PHI · 15 games

His best game was Week 13 against CHI — 35.2 PPR on 12 targets and a 40% target share, in a game that finished 15-24. His worst was Week 1 against DAL at 1.8, on 1 targets, final score 24-20. Across 15 games he cleared 20 points 4 times and came in under 8 points 4 times. In the 11 games decided by 8 points or fewer he averaged 12.8; in the 4 decided by more, 20. He scored more when the game was not close.

Earned against scored

His usage that season was worth 13.7 points per game. He scored 14.69, 3.3% above it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DAL24-201.811805%87%
2KC20-177.75827038.1%97%
3LA33-2622.9610109133.3%93%
4TB31-252.7297037.5%96%
5DEN17-219.35843021.6%93%
6NYG17-34146980028.1%96%
7MIN28-2228.146121226.1%92%
10GB10-73.32313013%78%
11DET16-911.971149040.7%93%
12DAL21-2425810110127.8%94%
13CHI15-2435.21012132240%96%
14LAC19-2216613100034.2%97%
15LV31-012.12241111.1%72%
16WAS29-1818.591295041.4%87%
17BUF13-1211.85768031.8%89%

Production

Receptions78
Targets121
Receiving yards1,003
Touchdowns7
Points per game14.69
Yards per target8.29
Catch rate64.46%

Role

Snap share90.67%
Target share28.65%
Air-yards share35.52%
WOPR0.678
RACR0.74

Efficiency

Average depth of target11.8
Yards after catch per reception3.4
Yards before catch per reception9.4
Total YAC268
Broken tackles7
Drop rate0%
Passer rating when targeted99.3
Receiving EPA per game2.25

Scoring position

Red-zone targets13
Red-zone target share21%
End-zone target share23.5%
Expected receiving TDs3.08
Actual receiving TDs3
Receiving TD luck-0.08

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game11 of 44
Yards per target18 of 44
Target share10 of 44
Air-yards share13 of 44

Who else ate

The offense threw it 497 times. He took 26.08% of the targets. 2 team-mates cleared the competing-target threshold.

A.J. Brown 26.08%
DeVonta Smith24.35%
Dallas Goedert17.67%
Saquon Barkley10.78%
Jahan Dotson7.76%
Grant Calcaterra2.8%

Blowouts against close games

2 of his 15 games were blowouts, 11.9% of his snaps coming in them. He averaged 13.05 in those and 12.77 in close games — a meaningful share of his scoring came with the game already decided.

2024 · PHI · 13 games

His best game was Week 15 against PIT — 25 PPR on 11 targets and a 35.5% target share, in a game that finished 27-13. His worst was Week 9 against JAX at 5.6, on 4 targets, final score 28-23. Across 13 games he cleared 20 points 5 times and came in under 8 points 1 time. In the 7 games decided by 8 points or fewer he averaged 15.3; in the 6 decided by more, 18.3. He scored more when the game was not close.

Earned against scored

His usage that season was worth 12.5 points per game. He scored 16.68, 21% above it. The engine classified the season as lucky. On receiving touchdowns specifically he finished 6 against 3.35 expected, a gap of 2.7.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1GB34-2922.9510119134.5%95%
6CLE20-1623.669116137.5%92%
7NYG28-319.95589135.7%77%
8CIN37-1713.45684031.6%82%
9JAX28-235.62436017.4%47%
10DAL34-615.957109035%74%
11WAS26-1811.55865032%97%
12LA37-2022.967109136.8%89%
13BAL24-1911.65666035.3%96%
14CAR22-168.34443021.1%95%
15PIT27-1325811110135.5%91%
16WAS33-3623.781597160%100%
17DAL41-712.63536127.8%91%

Production

Receptions67
Targets97
Receiving yards1,079
Touchdowns7
Points per game16.68
Yards per target11.12
Catch rate69.07%

Role

Snap share86.62%
Target share33.86%
Air-yards share47.22%
WOPR0.838
RACR0.968

Efficiency

Average depth of target12.1
Yards after catch per reception5.3
Yards before catch per reception10.8
Total YAC353
Broken tackles9
Drop rate0%
Passer rating when targeted121.5
Receiving EPA per game4.75

Scoring position

Red-zone targets14
Red-zone target share20.9%
End-zone target share30%
Expected receiving TDs3.35
Actual receiving TDs6
Receiving TD luck2.65

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game12 of 51
Yards per target1 of 51
Target share2 of 51
Air-yards share2 of 51

Who else ate

The offense threw it 448 times. He took 23.26% of the targets. 1 team-mate cleared the competing-target threshold.

A.J. Brown 23.26%
DeVonta Smith21.34%
Dallas Goedert12.47%
Saquon Barkley10.31%
Jahan Dotson7.91%
Grant Calcaterra7.19%

By quarterback

He caught passes from 2 quarterbacks that season, and the splits are not close.

QBGamesTargetsPPGY/TTgt%
Jalen Hurts117716.4212.2932.04%
Kenny Pickett22018.156.6543.9%

Blowouts against close games

5 of his 13 games were blowouts, 39.1% of his snaps coming in them. He averaged 16.94 in those and 15.31 in close games — a meaningful share of his scoring came with the game already decided.

2023 · PHI · 17 games

His best game was Week 4 against WAS — 38.5 PPR on 13 targets and a 38.2% target share, in a game that finished 34-31. His worst was Week 18 against NYG at -0.1, on 1 targets, final score 10-27. Across 17 games he cleared 20 points 5 times and came in under 8 points 3 times. In the 11 games decided by 8 points or fewer he averaged 16.7; in the 6 decided by more, 17.7. He scored more when the game was not close.

Earned against scored

His usage that season was worth 16 points per game. He scored 17.04, 6.7% above it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1NE25-2014.971079033.3%91%
2MIN34-286.94629027.3%96%
3TB25-1122.1914131040%83%
4WAS34-3138.5913175238.2%96%
5LA23-1418.768127023.5%99%
6NYJ14-2020.179131020.9%96%
7MIA31-1729.71015137150%82%
8WAS38-313388130222.9%98%
9DAL28-2319.67966142.9%97%
11KC21-171.8148019%95%
12BUF37-3414.75937132.1%94%
13SF19-4219.4813114031%86%
14DAL13-3316.491394046.4%93%
15SEA17-2010.651056033.3%96%
16NYG33-251461180030.6%97%
17ARI31-359.34553021.7%94%
18NYG10-27-0.111903%18%

Production

Receptions106
Targets158
Receiving yards1,456
Touchdowns7
Points per game17.04
Yards per target9.22
Catch rate67.09%

Role

Snap share88.88%
Target share30.36%
Air-yards share38.67%
WOPR0.726
RACR0.795

Efficiency

Average depth of target11.7
Yards after catch per reception4.5
Yards before catch per reception9.3
Total YAC473
Broken tackles12
Drop rate0%
Passer rating when targeted100.6
Receiving EPA per game3.87

Scoring position

Red-zone targets18
Red-zone target share32.7%
End-zone target share36%
Expected receiving TDs4.2
Actual receiving TDs4
Receiving TD luck-0.2

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game8 of 51
Yards per target17 of 51
Target share5 of 51
Air-yards share14 of 51

Who else ate

The offense threw it 562 times. He took 30.1% of the targets. 2 team-mates cleared the competing-target threshold.

A.J. Brown 30.1%
DeVonta Smith21.33%
Dallas Goedert15.81%
D'Andre Swift9.33%
Kenneth Gainwell7.05%
Quez Watkins4%

By quarterback

He caught passes from 2 quarterbacks that season, and the splits are not close.

QBGamesTargetsPPGY/TTgt%
Jalen Hurts1615718.119.2232.07%
Marcus Mariota11-0.193%

Blowouts against close games

3 of his 17 games were blowouts, 12.3% of his snaps coming in them. He averaged 11.9 in those and 16.67 in close games — his scoring did not depend on garbage time.

2022 · PHI · 17 games

His best game was Week 8 against PIT — 39.6 PPR on 10 targets and a 33.3% target share, in a game that finished 35-13. His worst was Week 10 against WAS at 1.7, on 4 targets, final score 21-32. Across 17 games he cleared 20 points 4 times and came in under 8 points 2 times. In the 8 games decided by 8 points or fewer he averaged 15.6; in the 9 decided by more, 19.4. He scored more when the game was not close.

Earned against scored

His usage that season was worth 14.3 points per game. He scored 17.62, 16.8% above it. The engine classified the season as lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DET38-3525.51013155044.8%87%
2MIN24-711.95869025.8%88%
3WAS24-819.551085129.4%80%
4JAX29-2114.55795029.2%85%
5ARI20-176.23732020.6%74%
6DAL26-1717.75867136.4%86%
8PIT35-1339.6610156333.3%68%
9HOU29-1715.94659124%86%
10WAS21-321.7147016%78%
11IND17-1695760030.4%88%
12GB40-3312.64646124%96%
13TEN35-1031.9810119226.3%82%
14NYG48-22174670119.4%85%
15CHI25-2027.1916181043.2%89%
16DAL34-4016.368103023.5%92%
17NO10-2019.74997128.1%100%
18NYG22-1613.541095032.3%79%

Production

Receptions88
Targets145
Receiving yards1,496
Touchdowns11
Points per game17.62
Yards per target10.32
Catch rate60.69%

Role

Snap share84.88%
Target share28.63%
Air-yards share39.63%
WOPR0.706
RACR0.921

Efficiency

Average depth of target12.1
Yards after catch per reception6.2
Yards before catch per reception10.8
Total YAC548
Broken tackles7
Drop rate0%
Passer rating when targeted112.3
Receiving EPA per game3.29

Scoring position

Red-zone targets16
Red-zone target share25%
End-zone target share31.6%
Expected receiving TDs4.02
Actual receiving TDs4
Receiving TD luck-0.02

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game8 of 51
Yards per target2 of 51
Target share9 of 51
Air-yards share5 of 51

Who else ate

The offense threw it 536 times. He took 28.71% of the targets. 1 team-mate cleared the competing-target threshold.

A.J. Brown 28.71%
DeVonta Smith26.93%
Dallas Goedert13.66%
Quez Watkins10.1%
Kenneth Gainwell5.74%
Miles Sanders5.15%

By quarterback

He caught passes from 2 quarterbacks that season, and the splits are not close.

QBGamesTargetsPPGY/TTgt%
Jalen Hurts1512817.5710.1329.01%
Gardner Minshew2171811.7625.8%

Blowouts against close games

4 of his 17 games were blowouts, 33.5% of his snaps coming in them. He averaged 25.1 in those and 15.59 in close games — a meaningful share of his scoring came with the game already decided.

2021 · TEN · 13 games

His best game was Week 8 against IND — 31.5 PPR on 11 targets and a 34.4% target share, in a game that finished 34-31. His worst was Week 3 against IND at 0.3, on 2 targets, final score 25-16. Across 13 games he cleared 20 points 3 times and came in under 8 points 5 times. In the 6 games decided by 8 points or fewer he averaged 17.8; in the 7 decided by more, 10.6. He scored more when the game was live.

Earned against scored

His usage that season was worth 14.1 points per game. He scored 13.92, 4.4% above it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1ARI13-3814.94849122.2%81%
2SEA33-307.33943023.1%84%
3IND25-160.302007.7%12%
5JAX37-196.83638028.6%64%
6BUF34-3116.17991036%79%
7KC27-327.389133133.3%62%
8IND34-3131.51011155134.4%92%
9LA28-169.251142042.3%78%
10NO23-213.31416014.8%82%
11HOU13-229.85948017.6%52%
16SF20-1731.51116145153.3%74%
17MIA34-36.12541027.8%63%
18HOU28-2516.84668118.8%82%

Production

Receptions63
Targets105
Receiving yards869
Carries2
Rushing yards10
Touchdowns5
Points per game13.92
Yards per target8.28
Catch rate60%
Yards per carry5

Role

Snap share69.62%
Target share27.68%
Air-yards share42.67%
WOPR0.715
RACR0.69

Efficiency

Average depth of target11.6
Yards after catch per reception3.9
Yards before catch per reception9.9
Total YAC248
Broken tackles2
Drop rate0.1%
Passer rating when targeted94.5
Receiving EPA per game2.6
Rushing EPA per game0.04

Scoring position

Red-zone targets12
Red-zone target share14.1%
End-zone target share21.2%
Red-zone carry share1.2%
Expected receiving TDs2.84
Actual receiving TDs3
Receiving TD luck0.16
Expected rushing TDs0.05

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game25 of 48
Yards per target23 of 48
Target share7 of 48
Air-yards share2 of 48

Who else ate

The offense threw it 534 times. He took 20.23% of the targets. 0 team-mates cleared the competing-target threshold.

A.J. Brown 20.23%
Nick Westbrook-Ikhine10.98%
Julio Jones9.25%
Anthony Firkser8.29%
Chester Rogers8.29%
Geoff Swaim7.71%

Blowouts against close games

4 of his 13 games were blowouts, 30.5% of his snaps coming in them. He averaged 13.78 in those and 17.75 in close games — his scoring did not depend on garbage time.

2020 · TEN · 14 games

His best game was Week 17 against HOU — 31.1 PPR on 11 targets and a 40.7% target share, in a game that finished 41-38. His worst was Week 10 against IND at 3.1, on 4 targets, final score 17-34. Across 14 games he cleared 20 points 7 times and came in under 8 points 1 time. In the 7 games decided by 8 points or fewer he averaged 19.6; in the 7 decided by more, 15.8. He scored more when the game was live.

Earned against scored

His usage that season was worth 13.9 points per game. He scored 17.68, 28% above it. The engine classified the season as very_lucky. On receiving touchdowns specifically he finished 8 against 4.04 expected, a gap of 4.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DEN16-148.95839020%81%
5BUF42-1621.27982132.1%71%
6HOU42-3622.85758217.1%84%
7PIT24-2727.368153126.7%93%
8CIN20-3112.44724124.1%94%
9CHI24-1720.149101142.9%82%
10IND17-343.11421014.8%75%
11BAL30-2416.24762121.9%81%
12IND45-2625.84698130%81%
13CLE35-4110.74787016.7%86%
14JAX31-1024.279112139.1%56%
15DET46-2515.45644123.1%84%
16GB14-408.34843032%76%
17HOU41-3831.11011151140.7%90%

Production

Receptions70
Targets106
Receiving yards1,075
Touchdowns11
Points per game17.68
Yards per target10.14
Catch rate66.04%

Role

Snap share81%
Target share27.23%
Air-yards share33.89%
WOPR0.645
RACR0.959

Efficiency

Average depth of target10.9
Yards after catch per reception6.2
Yards before catch per reception9.2
Total YAC432
Broken tackles13
Drop rate0%
Passer rating when targeted126.1
Receiving EPA per game4.68

Scoring position

Red-zone targets14
Red-zone target share19.7%
End-zone target share19.4%
Expected receiving TDs4.04
Actual receiving TDs8
Receiving TD luck3.96

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game6 of 51
Yards per target4 of 51
Target share5 of 51
Air-yards share11 of 51

Who else ate

The offense threw it 484 times. He took 22.99% of the targets. 1 team-mate cleared the competing-target threshold.

A.J. Brown 22.99%
Corey Davis19.96%
Jonnu Smith14.1%
Anthony Firkser11.5%
Adam Humphries7.59%
Derrick Henry6.72%

Blowouts against close games

6 of his 14 games were blowouts, 39.6% of his snaps coming in them. He averaged 16.33 in those and 19.59 in close games — his scoring did not depend on garbage time.

Ask the Coach about A.J. Brown →
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