WR · WAS · GWTTKB

Dyami Brown — fantasy football 2026

Every game, every stat category, and what the board says. 4.52 points per game in 2025, an ADP of 170.2, usage worth 5.7.

26 years old · 5 seasons of experience · 2021 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 170.2
Consensus across 1 books, 0 picks between cheapest and priciest. Cheapest on underdog, priciest on espn.
ESPN170.2
UNDERDOG216
FFA673

Draft-room facts

Goes aroundRound 15, pick 2 in a 12-team draft
Positional rankWR127
Bye week7

What we project for 2026

Our board has him at 4.2 points, 0.3 per game — 1.6 catches, 20 yards, 0.1 TDs. That is WR6, 386 overall.

The range runs from a floor of 0.1 points per game to a ceiling of 0.7, with the median at 0.3. Boom rate 99%, bust rate 67%. The spread is the actual bet, not the middle number.

He goes at 170.2 on consensus and our board has him 386. We rank him 215.8 picks worse than the room drafts him. At that distance it is a fade: we do not want him anywhere near his ADP.

The offense he plays in, 2026

Washington Commanders returns 4 of 6 continuity slots, replacing te1, oc. Jayden Daniels at quarterback, Dan Quinn as head coach, David Blough calling it. The offense projects to 30.1 pass attempts a game at medium confidence and 27.7 rushes.

In: Antonio Williams (wr2), Brandon Aiyuk (wr3), Dyami Brown (wr5), Rachaad White (rb2), Kaytron Allen (rb4), Chig Okonkwo (te1). Out: Deebo Samuel (wr2), Austin Ekeler (rb2), Chris Rodriguez Jr (rb3), Zach Ertz (te1).

His own projected target share for 2026 is 5.1%, with a bear case of 2.6% and a bull case of 6.9% and a full range of 2.6% to 8.1%. That comes from 29 historical comparables, not from a depth chart.

The projected target split across the offense:

Brandon Aiyuk21.8%
Terry McLaurin18.6%
Chig Okonkwo10.2%
Antonio Williams9%
Jaylin Lane7.7%
Rachaad White6.2%

Our written view on this offense in 2026

What the offense looks like: Terry McLaurin has been struggling with injuries & is aging. The Commanders have young WR talent that can step up, but they are going to need it quickly. Chig Okonkwo could provide immediate help to Jayden Daniels. But Jayden has to play at a high level. I believe Jayden can be a top 5 QB in the NFL & he has not historically struggled with injuries throughout his career. There is a risk in this offense if Jayden gets hurt again, but when healthy, this is an offense that the top RB will be highly relevant, should have a productive TE, and can support fantasy relevance out of multiple WR.

Key additions: Signed RB Rachaad White from Tampa in free agency (Jayden Daniels college teammate). Signed WR Ryami Brown in free agency from Jacksonville. Signed TE Chig Okonkwo from Tennessee in free agency to 3 year deal (starter). Drafted RB Kaytron Allen in the 6th roud. Expected to sign WR Brandon Aiyuk in free agency.

Key departures: OC Kluff Kingsbury is gone afer disaster 2025 season (promoted David Blough to OC). Lost WR Deebo Samuel in free agency. Lost TE Zach Ertz due to ACL injury because Marcus Mariota got his knee exploded on a hospital ball across the middle of the field.

Notes: Williams round 3 WR could connect early with Daniels. Terry McLaurin is aging, but if he can stay healthy, he will produce over next few years. Signed TE Chig Okonkwo who could 100% produce well with Jayden Daniels but hadn't provded it with Titans yet. Jacory Croskey-Merritt is set to be 1A RB while they sign Bucs RB Rachaad White in free agency. Could function as 1B and recieving back. Very curious to see how this dynamic turns out. Brandon Aiyuk WILL SIGN with Commanders or be traded to them. Unsure if he will be good following knee surgery, but he will be in Washington next Season. Daniels top 5 SF dynasty QB. Buy him. Rookie WR Williams, WR Dyami Brown, & Treylon Burks all have a chance to operate as WR2 or 3. Only 1 can win the full time job though.

How the volume number was reached: Same QB Jayden Daniels returning — anchor to 2025 actuals (27.6 att/g); Regressed 42% toward league mean 33.5, floored at 30 → 30.1 att/g; New OC David Blough — pass rate and tempo may shift.

How that share projection was built

29 historical comps for WRs age ~26, prior share 10.7%, team change, OC change. Distribution: median 4.5%, p25-p75 [0.0%, 7.9%], tails [0.0%, 10.3%]. Closest comps: Scott Miller 2022→2023 (TB→ATL: 8.9%→5.8%); DaeSean Hamilton 2020→2021 (DEN: 12.7%→0.0%); Terrace Marshall 2023→2024 (CAR→LV: 12.2%→3.4%).

arrival self-anchored 32% to own 10.7% role (2yr)

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: WAS rates 23 against a league average of 23, exactly at 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-0.2 · neutral
Weeks 1–6+3.6 · easier
Weeks 12–17-3 · harder
Fantasy playoffs (15–17)-7.5 · 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
20212DeAndre Carter+10.5

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 -20.6% 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
Brandon Powell20234.159%-22.1%
Kalif Raymond20235.758%+38.3%
Kalif Raymond20226.858%+1.9%
Devin Duvernay20214.856%+71.9%
Tutu Atwell20246.656%+2%

Of the 5 with a following season on record, 3 gained value, 1 lost it and 1 held roughly flat.

Four years of dynasty value

02,00020222023202420252026
Monthly superflex value, 2021-04 to 2026-07. Down 48% across the series, peaking at 2,896.

The player

Draft capital and athletic profile

Drafted2021, round 3, pick 82 by WAS
CollegeNorth Carolina
Age at draft21
Height6′0″
Weight189 lb
40-yard dash4.46s
Vertical35″
Broad jump128″
3-cone6.87s
Shuttle4.35s

Availability and volatility

Career PPR per game3
Week-to-week variation1.1
Boom rate4.3%
Bust rate54.3%
Games missed per season0.8
Injury historyKnee, Groin, Hamstring
Correlation between his posted line and his actual score-0.16

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 · JAX · 11 games

His best game was Week 2 against CIN — 17.6 PPR on 7 targets and a 17.1% target share, in a game that finished 27-31. His worst was Week 15 against NYJ at -1.6, on 0 targets, final score 48-20. Across 11 games he cleared 20 points 0 times and came in under 8 points 9 times. In the 6 games decided by 8 points or fewer he averaged 5.6; in the 5 decided by more, 3.2. He scored more when the game was live.

Earned against scored

His usage that season was worth 5.7 points per game. He scored 4.52, 21.4% below it. The engine classified the season as unlucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1CAR26-108.83452013.8%71%
2CIN27-3117.65757117.1%80%
3HOU17-102.723707.9%33%
5KC31-283.52415016%66%
6SEA12-2042513011.9%64%
7LA7-357245008.5%30%
9LV30-295.93725021.2%60%
10HOU29-36001004.3%37%
11LAC35-6001004.5%27%
15NYJ48-20-1.600000%8%
18TEN41-71.811803.2%13%

Production

Receptions20
Targets37
Receiving yards227
Carries6
Rushing yards30
Touchdowns1
Points per game4.52
Yards per target6.14
Catch rate54.05%
Yards per carry5

Role

Snap share44.45%
Target share9.85%
Air-yards share17.4%
WOPR0.27
RACR0.427

Efficiency

Average depth of target14
Yards after catch per reception1.6
Yards before catch per reception9.8
Total YAC31
Broken tackles0
Drop rate0.1%
Passer rating when targeted70.4
Receiving EPA per game-0.19
Rushing EPA per game-0.06

Scoring position

Red-zone targets9
Red-zone target share9.8%
End-zone target share10.8%
Red-zone carry share0.8%
Expected receiving TDs1.98
Actual receiving TDs1
Receiving TD luck-0.98
Expected rushing TDs0.14

Who else ate

The offense threw it 563 times. He took 7.37% of the targets. 2 team-mates cleared the competing-target threshold.

Parker Washington18.92%
Brian Thomas18.13%
Jakobi Meyers12.15%
Brenton Strange11.95%
Travis Etienne10.36%
Dyami Brown 7.37%

Blowouts against close games

4 of his 11 games were blowouts, 14.5% of his snaps coming in them. He averaged 1.8 in those and 5.62 in close games — his scoring did not depend on garbage time.

2024 · WAS · 15 games

His best game was Week 5 against CLE — 13.7 PPR on 2 targets and a 7.4% target share, in a game that finished 34-13. His worst was Week 10 against PIT at 0.7, on 3 targets, final score 27-28. Across 15 games he cleared 20 points 0 times and came in under 8 points 14 times. In the 11 games decided by 8 points or fewer he averaged 3.7; in the 4 decided by more, 6.6. He scored more when the game was not close.

Earned against scored

His usage that season was worth 5.7 points per game. He scored 4.49, 5.4% above it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
2NYG21-183.72417013.8%69%
3CIN38-333.6221608.7%22%
4ARI42-141.411403.3%25%
5CLE34-1313.7225717.4%55%
6BAL23-302.1111103%32%
7CAR40-73.31323012%30%
8CHI18-151.611602.9%32%
9NYG27-223.4112405.3%42%
10PIT27-280.723-1309.4%16%
11PHI18-261.412406.3%38%
12DAL26-345.6222205.9%34%
13TEN42-197.94535016.7%52%
15NO20-1963430012.9%78%
16PHI36-337.64556013.9%66%
18DAL23-195.43416013.3%43%

Production

Receptions30
Targets40
Receiving yards308
Carries3
Rushing yards26
Touchdowns1
Points per game4.49
Yards per target7.7
Catch rate75%
Yards per carry8.67

Role

Snap share42.27%
Target share8.99%
Air-yards share8.55%
WOPR0.194
RACR1.017

Efficiency

Average depth of target7.1
Yards after catch per reception7.3
Yards before catch per reception3
Total YAC218
Broken tackles4
Drop rate0.1%
Passer rating when targeted105
Receiving EPA per game0.12
Rushing EPA per game0.09

Scoring position

Red-zone targets7
Red-zone target share7.8%
End-zone target share10.8%
Expected receiving TDs1.68
Actual receiving TDs1
Receiving TD luck-0.68

Who else ate

The offense threw it 525 times. He took 7.95% of the targets. 2 team-mates cleared the competing-target threshold.

Terry McLaurin23.26%
Zach Ertz18.09%
Olamide Zaccheaus12.72%
Noah Brown11.13%
Austin Ekeler8.15%
Dyami Brown 7.95%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Jayden Daniels13334.528.158.42%
Marcus Mariota274.355.5712.65%

Blowouts against close games

4 of his 15 games were blowouts, 39% of his snaps coming in them. He averaged 6.57 in those and 3.74 in close games — a meaningful share of his scoring came with the game already decided.

2023 · WAS · 16 games

His best game was Week 10 against SEA — 12.1 PPR on 2 targets and a 4.8% target share, in a game that finished 26-29. His worst was Week 16 against NYJ at 0, on 0 targets, final score 28-30. Across 16 games he cleared 20 points 0 times and came in under 8 points 15 times. In the 10 games decided by 8 points or fewer he averaged 3; in the 6 decided by more, 0.8. He scored more when the game was live.

Earned against scored

His usage that season was worth 3 points per game. He scored 2.19, 11.5% below it. The engine classified the season as unlucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1ARI20-16000000%27%
2DEN35-335.5332508.8%32%
3BUF3-37001003.4%22%
4PHI31-347.1235107.7%32%
5CHI20-402.1131106.3%24%
6ATL24-16001004.8%22%
7NYG7-14000000%16%
8PHI31-38000000%31%
9NE20-175.3243309.1%29%
10SEA26-2912.1224114.8%18%
11NYG19-311.713707.1%26%
12DAL10-45001002.3%24%
13MIA15-45111004.5%20%
15LA20-28001002.9%10%
16NYJ28-30000000%21%
18DAL10-380.1600000%14%

Production

Receptions12
Targets23
Receiving yards168
Carries1
Touchdowns1
Points per game2.19
Yards per target7.3
Catch rate52.17%

Role

Snap share23%
Target share3.86%
Air-yards share7.75%
WOPR0.113
RACR0.279

Efficiency

Average depth of target16.8
Yards after catch per reception6.3
Yards before catch per reception7.7
Total YAC76
Broken tackles1
Drop rate0.1%
Passer rating when targeted54.3
Receiving EPA per game0.53
Rushing EPA per game-0.05

Scoring position

Red-zone targets2
Red-zone target share2.9%
End-zone target share3%
Expected receiving TDs0.93
Actual receiving TDs0
Receiving TD luck-0.93

Who else ate

The offense threw it 636 times. 2 team-mates cleared the competing-target threshold.

Terry McLaurin22%
Curtis Samuel15.17%
Jahan Dotson13.83%
Logan Thomas13%
Antonio Gibson9.83%
Brian Robinson7.17%

Blowouts against close games

5 of his 16 games were blowouts, 9.3% of his snaps coming in them. He averaged 0.65 in those and 3 in close games — his scoring did not depend on garbage time.

2022 · WAS · 9 games

His best game was Week 5 against TEN — 24.5 PPR on 4 targets and a 10.8% target share, in a game that finished 17-21. His worst was Week 18 against DAL at 0, on 0 targets, final score 26-6. Across 9 games he cleared 20 points 1 time and came in under 8 points 8 times. In the 5 games decided by 8 points or fewer he averaged 5.7; in the 4 decided by more, 1. He scored more when the game was live.

Earned against scored

His usage that season was worth 3.4 points per game. He scored 3.64, 37.2% above it. The engine classified the season as very_lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
3PHI8-24000000%16%
4DAL10-251.6146010%28%
5TEN17-2124.524105210.8%32%
6CHI12-7001004.5%5%
9MIN17-20001003.8%31%
10PHI32-212.5111504%19%
12ATL19-132.7111704.5%23%
15NYG12-201.502007.4%16%
18DAL26-6000000%12%

Production

Receptions5
Targets14
Receiving yards143
Carries1
Rushing yards15
Touchdowns2
Points per game3.64
Yards per target10.21
Catch rate35.71%
Yards per carry15

Role

Snap share20.22%
Target share5%
Air-yards share14.34%
WOPR0.177
RACR0.32

Efficiency

Average depth of target25.8
Yards after catch per reception6.2
Yards before catch per reception22.4
Total YAC31
Broken tackles1
Drop rate0%
Passer rating when targeted114
Receiving EPA per game0.55
Rushing EPA per game0.1

Who else ate

The offense threw it 554 times. 2 team-mates cleared the competing-target threshold.

Terry McLaurin22.6%
Curtis Samuel17.33%
Logan Thomas11.49%
Jahan Dotson11.49%
Antonio Gibson10.92%
J.D. McKissic7.53%

By quarterback

He caught passes from 3 quarterbacks that season, and the splits are not close.

QBGamesTargetsPPGY/TTgt%
Carson Wentz496.5312.336.33%
Taylor Heinicke451.686.44.93%
Sam Howell1000%

Blowouts against close games

1 of his 9 games were blowouts, 0% of his snaps coming in them. He averaged 0 in those and 5.74 in close games — his scoring did not depend on garbage time.

2021 · WAS · 10 games

His best game was Week 16 against DAL — 7.3 PPR on 2 targets and a 6.7% target share, in a game that finished 14-56. His worst was Week 3 against BUF at -0.4, on 2 targets, final score 21-43. Across 10 games he cleared 20 points 0 times and came in under 8 points 10 times. In the 6 games decided by 8 points or fewer he averaged 2.5; in the 4 decided by more, 3.2. He scored more when the game was not close.

Earned against scored

His usage that season was worth 4.8 points per game. He scored 2.81, 35.1% below it. The engine classified the season as very_unlucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1LAC16-200.814-2020%93%
2NYG30-296.43634013.6%87%
3BUF21-43-0.402008.3%65%
4ATL34-302.9121906.1%42%
6KC13-3163630015.4%80%
13LV17-151.611603.3%9%
14DAL20-27001003%34%
15PHI17-27000000%16%
16DAL14-567.3225306.7%22%
17PHI16-203.5112502.9%11%

Production

Receptions12
Targets25
Receiving yards165
Carries1
Rushing yards-4
Touchdowns0
Points per game2.81
Yards per target6.6
Catch rate48%
Yards per carry-4

Role

Snap share45.9%
Target share7.93%
Air-yards share16.35%
WOPR0.233
RACR0.371

Efficiency

Average depth of target15.2
Yards after catch per reception2.8
Yards before catch per reception10.9
Total YAC34
Broken tackles1
Drop rate0%
Passer rating when targeted69.6
Receiving EPA per game-0.16
Rushing EPA per game-0.12

Scoring position

Red-zone targets3
Red-zone target share5.1%
End-zone target share3.6%
Expected receiving TDs0.43
Actual receiving TDs0
Receiving TD luck-0.43

Who else ate

The offense threw it 550 times. 1 team-mate cleared the competing-target threshold.

Terry McLaurin24.39%
Adam Humphries11.63%
J.D. McKissic9.94%
Antonio Gibson9.76%
Ricky Seals-Jones9.19%
DeAndre Carter8.26%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Taylor Heinicke9253.126.68.81%
Garrett Gilbert1000%

Blowouts against close games

3 of his 10 games were blowouts, 45.9% of his snaps coming in them. He averaged 4.3 in those and 2.53 in close games — a meaningful share of his scoring came with the game already decided.

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