WR · PHI · GWTTKB

DeVonta Smith — fantasy football 2026

Every game, every stat category, and what the board says. 11.87 points per game in 2025, an ADP of 36, usage worth 11.8.

27 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 36
Consensus across 4 books, standard deviation 4.5, 10.1 picks between cheapest and priciest. Cheapest on espn, priciest on underdog.
SLEEPER38
ESPN39.4
YAHOO29.3
UNDERDOG27.6
CBS37.1
FFA31

Draft-room facts

Goes aroundRound 3, pick 12 in a 12-team draft
Positional rankWR14
Bye week10
ADP standard deviation4.5 picks

What we project for 2026

Our board has him at 230 points, 14 per game — 82.9 catches, 1,069 yards, 6.7 TDs. That is WR3, 31 overall.

The range runs from a floor of 12.6 points per game to a ceiling of 19, with the median at 14. Boom rate 36%, bust rate 10%. The spread is the actual bet, not the middle number.

He goes at 36 on consensus and our board has him 31. We rank him 5 picks better than the room drafts him, so the market is underpricing him — that is the disagreement worth acting on.

Our written view

Locked alpha with AJ Brown gone; top-10 WR upside at the 3/4 turn — perfect WR1 to pair after a double-RB open. Eagles have the easiest passing schedule.

buy · high conviction · 2026-06-05

The offense he plays in, 2026

Philadelphia Eagles returns 4 of 6 continuity slots, replacing wr1, oc. Jalen Hurts at quarterback, Nick Sirianni as head coach, Sean Mannion calling it. The offense projects to 31 pass attempts a game at medium confidence and 27.4 rushes.

In: Makai Lemon (wr2), Marquise Brown (wr3), Dontayvion Wicks (wr4), Elijah Moore (wr6), Quez Watkins (wr7), Dameon Pierce (rb4), Eli Stowers (te2). Out: AJ Brown (wr1), Britain Covey (wr3), Johnny Wilson (wr4), Grant Calcaterra (te2).

His own projected target share for 2026 is 17.8%, with a bear case of 15.2% and a bull case of 19.3% and a full range of 11.6% to 21.1%. That comes from 29 historical comparables, not from a depth chart.

The projected target split across the offense:

Devonta Smith 17.8%
Dallas Goedert17.4%
Makai Lemon17.1%
Elijah Moore10%
Eli Stowers8.9%
Saquon Barkley6.6%

Our written view on this offense in 2026

What the offense looks like: If the Eagles can get their offense humming again, this is an offense you want to own a lot of players in. They can produce at a very high level for you. Hurts in particular regardless of play will be a top QB because of the tush push.

Key additions: Drafted WR Makai Lemon 1st round. Traded for Packers WR Dontayvion Wicks, Signed Hollywood Brown. Drafted TE Eli Stowers (great passing catching TE)

Key departures: AJ Brown. He is going to be traded to the Patriots in June 2026.

Notes: AJ Brown is going to be traded to the Patriots. He will not be on the team. Devonta Smith is primed to BREAKOUT as a WR1 IF he can maintain target share. Drafted Makai Lemon Round 1, Eli Stowers (great receiving TE who was also scouted as WR). Eagles also traded for Dontayvion Wicks from Packers who is a talented WR but hasn't put it all together yet. Signed Marquiese Brown in free agency who is expected to operate as WR3/4. There are a lot of mouths to feed on this offense and not all of them can be fantasy relevant. Saquon had a rough 2025 season but should be great in 2026 IF Jalen Hurts can improve his level of play. There are a lot of targets available with AJ Brown leaving.

How the volume number was reached: Same QB Jalen Hurts returning — anchor to 2025 actuals (29.2 att/g); Regressed 42% toward league mean 33.5, floored at 30 → 31 att/g; New OC Sean Mannion — pass rate and tempo may shift.

How that share projection was built

29 historical comps for WRs age ~26, prior share 25.2%, team change, OC change. Distribution: median 21.2%, p25-p75 [15.5%, 24.5%], tails [7.8%, 28.3%]. Closest comps: Marquise Brown 2021→2022 (BAL→ARI: 25.9%→23.5%); Christian Kirk 2024→2025 (JAX→HOU: 22.4%→15.5%); Calvin Ridley 2023→2024 (JAX→TEN: 22.5%→23.8%).

arrival self-anchored 41% to own 25.2% 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: PHI rates 23.5 against a league average of 23, 0.5 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+7.6 · easier
Weeks 1–6+5.6 · easier
Weeks 12–17+4.2 · easier
Fantasy playoffs (15–17)-6.1 · 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
20243Ainias Smith+12
Read the full DeVonta Smith study →

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 +8% 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
Michael Pittman202410.488%+14.8%
Keenan Allen202412.376%-7%
DK Metcalf202412.775%-4.3%
Jerry Jeudy202414.274%-22.4%
Terry McLaurin20231273%+39.7%

Of the 5 with a following season on record, 2 gained value, 3 lost it and 0 held roughly flat.

Four years of dynasty value

02,0004,0006,00020222023202420252026
Monthly superflex value, 2021-04 to 2026-07. Down 4% across the series, peaking at 6,296.

The player

Draft capital and athletic profile

Drafted2021, round 1, pick 10 by PHI
CollegeAlabama
Age at draft22

Availability and volatility

Career PPR per game13.3
Week-to-week variation0.6
Boom rate23.1%
Bust rate21.5%
Games missed per season0.8
Injury historyAnkle, Concussion, Hamstring, Wrist
Correlation between his posted line and his actual score0.37

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 · 17 games

His best game was Week 7 against MIN — 33.3 PPR on 11 targets and a 47.8% target share, in a game that finished 28-22. His worst was Week 11 against DET at 1.8, on 5 targets, final score 16-9. Across 17 games he cleared 20 points 2 times and came in under 8 points 6 times. In the 12 games decided by 8 points or fewer he averaged 12.1; in the 5 decided by more, 11.3. He scored more when the game was live.

Earned against scored

His usage that season was worth 11.8 points per game. He scored 11.87, 2.4% above it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DAL24-204.63316015%89%
2KC20-179.34653028.6%75%
3LA33-26208960130%96%
4TB31-254.9222908.3%91%
5DEN17-2119.4810114027%98%
6NYG17-348.94549015.6%96%
7MIN28-2233.3911183147.8%88%
8NYG38-2014.46984045%90%
10GB10-716.94769130.4%92%
11DET16-91.8158018.5%97%
12DAL21-2414.961189030.6%95%
13CHI15-249.85848026.7%94%
14LAC19-227.74837021.1%97%
15LV31-072250011.1%52%
16WAS29-1816.26842127.6%86%
17BUF13-124.52525022.7%85%
18WAS17-248.23452011.8%14%

Production

Receptions77
Targets113
Receiving yards1,008
Touchdowns4
Points per game11.87
Yards per target8.92
Catch rate68.14%

Role

Snap share84.41%
Target share24.58%
Air-yards share32.14%
WOPR0.592
RACR0.959

Efficiency

Average depth of target11.9
Yards after catch per reception3.8
Yards before catch per reception9.3
Total YAC293
Broken tackles0
Drop rate0%
Passer rating when targeted104.1
Receiving EPA per game3.2

Scoring position

Red-zone targets12
Red-zone target share19.4%
End-zone target share29.4%
Expected receiving TDs2.64
Actual receiving TDs2
Receiving TD luck-0.64

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game26 of 44
Yards per target11 of 44
Target share15 of 44
Air-yards share24 of 44

Who else ate

The offense threw it 497 times. He took 24.35% of the targets. 2 team-mates cleared the competing-target threshold.

A.J. Brown26.08%
DeVonta Smith 24.35%
Dallas Goedert17.67%
Saquon Barkley10.78%
Jahan Dotson7.76%
Grant Calcaterra2.8%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Jalen Hurts1610912.18.7725.38%
Tanner McKee148.21311.8%

Blowouts against close games

3 of his 17 games were blowouts, 15% of his snaps coming in them. He averaged 10.1 in those and 12.13 in close games — his scoring did not depend on garbage time.

2024 · PHI · 13 games

His best game was Week 17 against DAL — 30 PPR on 7 targets and a 38.9% target share, in a game that finished 41-7. His worst was Week 7 against NYG at 0.8, on 2 targets, final score 28-3. Across 13 games he cleared 20 points 4 times and came in under 8 points 3 times. In the 8 games decided by 8 points or fewer he averaged 14.6; in the 5 decided by more, 16.5. He scored more when the game was not close.

Earned against scored

His usage that season was worth 11 points per game. He scored 15.34, 28% above it. The engine classified the season as very_lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1GB34-2915.47884027.6%100%
2ATL21-2220.671076134.5%100%
3NO15-1214.971079027.8%76%
6CLE20-1615.43464116.7%100%
7NYG28-30.812-2014.3%80%
8CIN37-1720.56785136.8%93%
9JAX28-2318.74687126.1%96%
10DAL34-63.42314015%72%
11WAS26-186.94629024%89%
14CAR22-1613.74637131.6%90%
15PIT27-13281112109138.7%93%
16WAS33-3611.16851032%82%
17DAL41-73067120238.9%80%

Production

Receptions68
Targets89
Receiving yards833
Carries1
Rushing yards1
Touchdowns8
Points per game15.34
Yards per target9.36
Catch rate76.4%
Yards per carry1

Role

Snap share88.54%
Target share28%
Air-yards share29.88%
WOPR0.628
RACR0.841

Efficiency

Average depth of target9.1
Yards after catch per reception4.4
Yards before catch per reception7.9
Total YAC299
Broken tackles0
Drop rate0%
Passer rating when targeted120.7
Receiving EPA per game4.37
Rushing EPA per game-0.04

Scoring position

Red-zone targets13
Red-zone target share19.4%
End-zone target share23.3%
Red-zone carry share0.6%
Expected receiving TDs3.22
Actual receiving TDs3
Receiving TD luck-0.22
Expected rushing TDs0.04

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game15 of 51
Yards per target9 of 51
Target share8 of 51
Air-yards share28 of 51

Who else ate

The offense threw it 448 times. He took 21.34% of the targets. 1 team-mate cleared the competing-target threshold.

A.J. Brown23.26%
DeVonta Smith 21.34%
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 Hurts117414.398.9526.65%
Kenny Pickett21520.5511.435.45%

Blowouts against close games

4 of his 13 games were blowouts, 27.4% of his snaps coming in them. He averaged 13.68 in those and 14.59 in close games — his scoring did not depend on garbage time.

2023 · PHI · 16 games

His best game was Week 13 against SF — 24.6 PPR on 11 targets and a 26.2% target share, in a game that finished 19-42. His worst was Week 5 against LA at 1.6, on 5 targets, final score 23-14. Across 16 games he cleared 20 points 4 times and came in under 8 points 3 times. In the 11 games decided by 8 points or fewer he averaged 15.9; in the 5 decided by more, 10.4. He scored more when the game was live.

Earned against scored

His usage that season was worth 12.5 points per game. He scored 14.22, 17.5% above it. The engine classified the season as lucky. On receiving touchdowns specifically he finished 3 against 1.9 expected, a gap of 1.1.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1NE25-2017.771047133.3%98%
2MIN34-2823.145131122.7%100%
3TB25-116.84528014.3%99%
4WAS34-3114.87978026.5%99%
5LA23-141.6156014.7%94%
6NYJ14-209.451144025.6%99%
7MIA31-178.94549016.7%96%
8WAS38-3122.97799120%97%
9DAL28-2314.13351114.3%94%
11KC21-1715.96899038.1%95%
12BUF37-3423.678106128.6%98%
13SF19-4224.691196126.2%100%
14DAL13-3310.351073035.7%95%
15SEA17-20105550016.7%96%
16NYG33-2517.94579113.9%93%
17ARI31-3563530021.7%88%

Production

Receptions81
Targets112
Receiving yards1,066
Touchdowns7
Points per game14.22
Yards per target9.52
Catch rate72.32%

Role

Snap share96.31%
Target share23.06%
Air-yards share31.32%
WOPR0.564
RACR0.887

Efficiency

Average depth of target12.1
Yards after catch per reception3.6
Yards before catch per reception9.5
Total YAC294
Broken tackles4
Drop rate0%
Passer rating when targeted111.7
Receiving EPA per game2.13

Scoring position

Red-zone targets7
Red-zone target share12.7%
End-zone target share24%
Expected receiving TDs1.9
Actual receiving TDs3
Receiving TD luck1.1

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game19 of 51
Yards per target11 of 51
Target share26 of 51
Air-yards share29 of 51

Who else ate

The offense threw it 562 times. He took 21.33% of the targets. 2 team-mates cleared the competing-target threshold.

A.J. Brown30.1%
DeVonta Smith 21.33%
Dallas Goedert15.81%
D'Andre Swift9.33%
Kenneth Gainwell7.05%
Quez Watkins4%

Blowouts against close games

2 of his 16 games were blowouts, 15.3% of his snaps coming in them. He averaged 17.45 in those and 15.95 in close games — a meaningful share of his scoring came with the game already decided.

2022 · PHI · 17 games

His best game was Week 16 against DAL — 31.3 PPR on 12 targets and a 35.3% target share, in a game that finished 34-40. His worst was Week 1 against DET at 0, on 4 targets, final score 38-35. Across 17 games he cleared 20 points 4 times and came in under 8 points 4 times. In the 8 games decided by 8 points or fewer he averaged 13.6; in the 9 decided by more, 16.4. He scored more when the game was not close.

Earned against scored

His usage that season was worth 13.5 points per game. He scored 15.09, 9.4% above it. The engine classified the season as neutral. On receiving touchdowns specifically he finished 6 against 3.19 expected, a gap of 2.8.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DET38-350040013.8%96%
2MIN24-7157780022.6%99%
3WAS24-830.9812169135.3%89%
4JAX29-214.73417016.7%87%
5ARI20-1718.7101187032.4%99%
6DAL26-1715.45544122.7%89%
8PIT35-137.35823026.7%74%
9HOU29-174.2222208%89%
10WAS21-3215.96839132%86%
11IND17-1613.86978039.1%94%
12GB40-3394950036%93%
13TEN35-1021.258102121.1%86%
14NYG48-2217.45864125.8%91%
15CHI25-2017.658126021.6%96%
16DAL34-4031.3812113235.3%93%
17NO10-2020.5913115040.6%98%
18NYG22-1613.77867025.8%100%

Production

Receptions95
Targets136
Receiving yards1,196
Touchdowns7
Points per game15.09
Yards per target8.79
Catch rate69.85%

Role

Snap share91.71%
Target share26.79%
Air-yards share28.16%
WOPR0.6
RACR1.065

Efficiency

Average depth of target9.6
Yards after catch per reception5.2
Yards before catch per reception7.4
Total YAC490
Broken tackles5
Drop rate0.1%
Passer rating when targeted111
Receiving EPA per game3.51

Scoring position

Red-zone targets17
Red-zone target share26.6%
End-zone target share42.1%
Expected receiving TDs3.19
Actual receiving TDs6
Receiving TD luck2.81

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game14 of 51
Yards per target17 of 51
Target share14 of 51
Air-yards share30 of 51

Who else ate

The offense threw it 536 times. He took 26.93% of the targets. 1 team-mate cleared the competing-target threshold.

A.J. Brown28.71%
DeVonta Smith 26.93%
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 Hurts1511113.658.7225.31%
Gardner Minshew22525.99.1237.95%

Blowouts against close games

4 of his 17 games were blowouts, 23.7% of his snaps coming in them. He averaged 15.22 in those and 13.6 in close games — a meaningful share of his scoring came with the game already decided.

2021 · PHI · 17 games

His best game was Week 9 against LAC — 22.6 PPR on 6 targets and a 37.5% target share, in a game that finished 24-27. His worst was Week 8 against DET at 2.5, on 3 targets, final score 44-6. Across 17 games he cleared 20 points 2 times and came in under 8 points 8 times. In the 6 games decided by 8 points or fewer he averaged 9.8; in the 11 decided by more, 11.5. He scored more when the game was not close.

Earned against scored

His usage that season was worth 11.1 points per game. He scored 10.92, 0.9% below it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1ATL32-619.16871125%87%
2SF11-173.62716029.2%84%
3DAL21-415.83628015.8%98%
4KC30-4219.2710122022.7%92%
5CAR21-1814.77977026.5%93%
6TB22-285.12431016.7%98%
7LV22-3311.15961029%87%
8DET44-62.51315018.8%68%
9LAC24-2722.656116137.5%77%
10DEN30-1322.64666227.3%84%
11NO40-2910.14661026.1%92%
12NYG7-134.22422013.8%91%
13NYJ33-183.52415018.2%62%
15WAS27-1773540019.2%87%
16NYG34-10195780125%86%
17WAS20-168.43654024%95%
18DAL26-517.13441011.8%19%

Production

Receptions64
Targets104
Receiving yards916
Touchdowns5
Points per game10.92
Yards per target8.81
Catch rate61.54%

Role

Snap share82.35%
Target share22.74%
Air-yards share35.82%
WOPR0.591
RACR0.642

Efficiency

Average depth of target13.9
Yards after catch per reception3.4
Yards before catch per reception10.9
Total YAC220
Broken tackles2
Drop rate0%
Passer rating when targeted102.1
Receiving EPA per game1.75

Scoring position

Red-zone targets9
Red-zone target share14.1%
End-zone target share30.8%
Expected receiving TDs2.75
Actual receiving TDs3
Receiving TD luck0.25

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game35 of 48
Yards per target16 of 48
Target share25 of 48
Air-yards share10 of 48

Who else ate

The offense threw it 494 times. He took 22.32% of the targets. 1 team-mate cleared the competing-target threshold.

DeVonta Smith 22.32%
Dallas Goedert16.31%
Quez Watkins13.3%
Jalen Reagor12.23%
Kenneth Gainwell10.73%
Miles Sanders7.3%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Jalen Hurts159611.678.9623.77%
Gardner Minshew285.3715%

Blowouts against close games

6 of his 17 games were blowouts, 41% of his snaps coming in them. He averaged 12.68 in those and 9.77 in close games — a meaningful share of his scoring came with the game already decided.

Ask the Coach about DeVonta Smith →
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