TE · PHI · GWTTKB

Dallas Goedert — fantasy football 2026

Every game, every stat category, and what the board says. 12.34 points per game in 2025, an ADP of 103.6, usage worth 10.1.

31 years old · 8 seasons of experience · 2018 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 103.6
Consensus across 4 books, standard deviation 13, 31.6 picks between cheapest and priciest. Cheapest on underdog, priciest on cbs.
SLEEPER119
ESPN101.7
YAHOO106.3
UNDERDOG134.7
CBS87.4
FFA106

Draft-room facts

Goes aroundRound 9, pick 8 in a 12-team draft
Positional rankTE11
Bye week10
ADP standard deviation13 picks

What we project for 2026

Our board has him at 142.7 points, 9.4 per game — 55.2 catches, 605 yards, 4.5 TDs. That is TE3, 106 overall.

The range runs from a floor of 6.8 points per game to a ceiling of 12.1, with the median at 9.4. Boom rate 29%, bust rate 27%. The spread is the actual bet, not the middle number.

He goes at 103.6 on consensus and our board has him 106. 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

an 11-touchdown season last year looks like an outlier next to his career-best prior mark of 5, but it wasn't lucky/random deep scoring — he was targeted more inside the 5-yard line than every other receiver on the roster COMBINED, a genuinely elite, real, designed red-zone role that existed even with a clear #1 alpha WR (AJ Brown) also on the roster. Brown is now gone, and his likely replacements (a journeyman veteran, rookies being brought along slowly) are unlikely to threaten Goedert's specific red-zone role the way Brown's departure might threaten other target shares.

hold · medium conviction · 2026-08

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 17.4%, with a bear case of 16.4% and a bull case of 18.4% and a full range of 15.2% to 18.7%. That comes from 25 historical comparables, not from a depth chart.

The projected target split across the offense:

Devonta Smith17.8%
Dallas Goedert 17.4%
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

25 historical comps for TEs age ~29, prior share 20.5%, same team, OC change. Distribution: median 17.8%, p25-p75 [15.2%, 20.5%], tails [12.0%, 21.2%]. Closest comps: Cole Kmet 2023→2024 (CHI: 19.9%→11.8%); Dalton Schultz 2023→2024 (HOU: 17.8%→15.2%); David Njoku 2024→2025 (CLE: 21.8%→12.5%). Adjustment: flat from opportunity_breakout (volume must hold)

self-anchored 58% to own 20.5% role (3yr), 42% to comp median 17.8%

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
20244Grant Calcaterra+4.6
20252Grant Calcaterra+4.3
20233Jack Stoll+0.6
Read the full Dallas Goedert 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 +23.6% 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 1.3 elite seasons and 2.3 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
Hunter Henry20249.171%+31.4%
David Njoku202413.566%-21.9%
David Njoku202312.662%-7.9%
George Kittle202415.856%-5.4%
Mark Andrews202411.156%-20.1%

Of the 5 with a following season on record, 1 gained value, 4 lost it and 0 held roughly flat.

Four years of dynasty value

02,0004,000202120222023202420252026
Monthly superflex value, 2020-04 to 2026-07. Down 25% across the series, peaking at 4,734.

The player

Draft capital and athletic profile

Drafted2018, round 2, pick 49 by PHI
CollegeSouth Dakota St.
Age at draft23
Height6′5″
Weight256 lb

Availability and volatility

Career PPR per game11.1
Week-to-week variation0.6
Boom rate23.7%
Bust rate20.3%
Games missed per season1.7
Injury historyCalf, Forearm, Hamstring, Knee
Correlation between his posted line and his actual score0.47

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 6 against NYG — 26 PPR on 11 targets and a 34.4% target share, in a game that finished 17-34. His worst was Week 12 against DAL at 4, on 2 targets, final score 21-24. Across 15 games he cleared 20 points 2 times and came in under 8 points 4 times. In the 10 games decided by 8 points or fewer he averaged 9.9; in the 5 decided by more, 17.1. He scored more when the game was not close.

Earned against scored

His usage that season was worth 10.1 points per game. He scored 12.34, 26.5% above it. The engine classified the season as very_lucky. On receiving touchdowns specifically he finished 11 against 5.67 expected, a gap of 5.3.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DAL24-2011.47744035%83%
3LA33-2610.3123316.7%91%
4TB31-2519.74437216.7%75%
5DEN17-2110.93919124.3%79%
6NYG17-3426911110134.4%89%
7MIN28-224.83318013%98%
8NYG38-2017.83328215%63%
10GB10-78.34643026.1%86%
11DET16-94.42524018.5%90%
12DAL21-244222005.6%92%
13CHI15-244.72427013.3%89%
14LAC19-2215.881078026.3%93%
15LV31-0256770238.9%74%
16WAS29-1812.23332110.3%87%
17BUF13-129.8368127.3%80%

Production

Receptions60
Targets82
Receiving yards591
Touchdowns11
Points per game12.34
Yards per target7.21
Catch rate73.17%

Role

Snap share84.6%
Target share20.76%
Air-yards share15.21%
WOPR0.419
RACR1.267

Efficiency

Average depth of target7.1
Yards after catch per reception3.9
Yards before catch per reception6
Total YAC234
Broken tackles3
Drop rate0%
Passer rating when targeted132.7
Receiving EPA per game2.41

Scoring position

Red-zone targets17
Red-zone target share27.4%
End-zone target share29.4%
Red-zone carry share1%
Goal-line carry share2.9%
Expected receiving TDs5.67
Actual receiving TDs11
Receiving TD luck5.33
Expected rushing TDs0.39

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game4 of 13
Yards per target10 of 13
Target share6 of 13
Air-yards share9 of 13

Who else ate

The offense threw it 497 times. He took 17.67% of the targets. 2 team-mates cleared the competing-target threshold.

A.J. Brown26.08%
DeVonta Smith24.35%
Dallas Goedert 17.67%
Saquon Barkley10.78%
Jahan Dotson7.76%
Grant Calcaterra2.8%

Blowouts against close games

3 of his 15 games were blowouts, 37.2% of his snaps coming in them. He averaged 22.93 in those and 9.94 in close games — a meaningful share of his scoring came with the game already decided.

2024 · PHI · 10 games

His best game was Week 3 against NO — 27 PPR on 11 targets and a 30.6% target share, in a game that finished 15-12. His worst was Week 6 against CLE at 0, on 1 targets, final score 20-16. Across 10 games he cleared 20 points 1 time and came in under 8 points 4 times. In the 7 games decided by 8 points or fewer he averaged 10.6; in the 3 decided by more, 9.9. He scored more when the game was live.

Earned against scored

His usage that season was worth 9.1 points per game. He scored 10.36, 17.3% above it. The engine classified the season as lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1GB34-297.14531017.2%82%
2ATL21-226.83438013.8%97%
3NO15-12271011170030.6%86%
4TB16-3313.27862027.6%63%
6CLE20-16001004.2%5%
10DAL34-610.52325115%63%
11WAS26-1811.15561020%89%
12LA37-205.94519026.3%75%
13BAL24-1912.53435123.5%71%
18NYG20-139.54655014.6%19%

Production

Receptions42
Targets52
Receiving yards496
Touchdowns2
Points per game10.36
Yards per target9.54
Catch rate80.77%

Role

Snap share65%
Target share19.28%
Air-yards share15.69%
WOPR0.4
RACR1.048

Efficiency

Average depth of target6.8
Yards after catch per reception6.1
Yards before catch per reception5.7
Total YAC257
Broken tackles2
Drop rate0%
Passer rating when targeted111.2
Receiving EPA per game1.94

Scoring position

Red-zone targets10
Red-zone target share14.9%
End-zone target share20%
Red-zone carry share0.6%
Expected receiving TDs2.1
Actual receiving TDs2
Receiving TD luck-0.1
Expected rushing TDs0.14

Who else ate

The offense threw it 448 times. He took 12.47% of the targets. 2 team-mates cleared the competing-target threshold.

A.J. Brown23.26%
DeVonta Smith21.34%
Dallas Goedert 12.47%
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 Hurts94610.469.5919.8%
Tanner McKee169.59.1714.6%

Blowouts against close games

3 of his 10 games were blowouts, 28.6% of his snaps coming in them. He averaged 9.87 in those and 10.57 in close games — his scoring did not depend on garbage time.

2023 · PHI · 14 games

His best game was Week 5 against LA — 25.7 PPR on 9 targets and a 26.5% target share, in a game that finished 23-14. His worst was Week 1 against NE at 0, on 1 targets, final score 25-20. Across 14 games he cleared 20 points 1 time and came in under 8 points 6 times. In the 9 games decided by 8 points or fewer he averaged 8.3; in the 5 decided by more, 12.4. He scored more when the game was not close.

Earned against scored

His usage that season was worth 10.3 points per game. He scored 9.74, 3.6% below it. The engine classified the season as neutral. On receiving touchdowns specifically he finished 4 against 2.45 expected, a gap of 1.6.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1NE25-20001003.3%92%
2MIN34-288.26722031.8%96%
3TB25-119.15741020%93%
4WAS34-314.52425011.8%100%
5LA23-1425.789117126.5%95%
6NYJ14-209.25842018.6%77%
7MIA31-1718.75577116.7%79%
8WAS38-317.64736020%92%
9DAL28-2383450019%77%
14DAL13-3374430014.3%84%
15SEA17-207.14930030%84%
16NYG33-2514.17971025%85%
17ARI31-3515.75647126.1%94%
18NYG10-271.413409.1%35%

Production

Receptions59
Targets83
Receiving yards592
Carries1
Rushing yards1
Touchdowns3
Points per game9.74
Yards per target7.13
Catch rate71.08%
Yards per carry1

Role

Snap share84.5%
Target share19.44%
Air-yards share11.51%
WOPR0.373
RACR1.544

Efficiency

Average depth of target5.4
Yards after catch per reception5.4
Yards before catch per reception4.6
Total YAC319
Broken tackles2
Drop rate0%
Passer rating when targeted88
Receiving EPA per game1.15
Rushing EPA per game-0.03

Scoring position

Red-zone targets11
Red-zone target share20%
End-zone target share16%
Red-zone carry share0.9%
Expected receiving TDs2.45
Actual receiving TDs4
Receiving TD luck1.55
Expected rushing TDs0.05

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game11 of 14
Yards per target13 of 14
Target share9 of 14
Air-yards share13 of 14

Who else ate

The offense threw it 562 times. He took 15.81% of the targets. 2 team-mates cleared the competing-target threshold.

A.J. Brown30.1%
DeVonta Smith21.33%
Dallas Goedert 15.81%
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 Hurts138010.387.3520.24%
Marcus Mariota131.41.339.1%

Blowouts against close games

2 of his 14 games were blowouts, 6.2% of his snaps coming in them. He averaged 4.2 in those and 8.27 in close games — his scoring did not depend on garbage time.

2022 · PHI · 12 games

His best game was Week 9 against HOU — 24 PPR on 9 targets and a 36% target share, in a game that finished 29-17. His worst was Week 6 against DAL at 4.2, on 6 targets, final score 26-17. Across 12 games he cleared 20 points 1 time and came in under 8 points 2 times. In the 5 games decided by 8 points or fewer he averaged 11.8; in the 7 decided by more, 11.7. He scored more when the game was live.

Earned against scored

His usage that season was worth 10.2 points per game. He scored 11.77, 16.4% above it. The engine classified the season as lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DET38-3593460013.8%92%
2MIN24-713.25682019.4%84%
3WAS24-811.63426111.8%64%
4JAX29-2112.25672025%90%
5ARI20-1717.58995026.5%96%
6DAL26-174.22622027.3%99%
8PIT35-1312.46664020%74%
9HOU29-172489100136%91%
10WAS21-329.33323112%100%
16DAL34-409.7336708.8%94%
17NO10-207.53645018.8%96%
18NYG22-1610.66746022.6%100%

Production

Receptions55
Targets69
Receiving yards702
Touchdowns3
Points per game11.77
Yards per target10.17
Catch rate79.71%

Role

Snap share90%
Target share20.17%
Air-yards share16.26%
WOPR0.417
RACR2.373

Efficiency

Average depth of target6.1
Yards after catch per reception7.6
Yards before catch per reception5.1
Total YAC420
Broken tackles2
Drop rate0%
Passer rating when targeted123.6
Receiving EPA per game3.77

Scoring position

Red-zone targets14
Red-zone target share21.9%
End-zone target share10.5%
Expected receiving TDs2.79
Actual receiving TDs3
Receiving TD luck0.21

Who else ate

The offense threw it 536 times. He took 13.66% of the targets. 2 team-mates cleared the competing-target threshold.

A.J. Brown28.71%
DeVonta Smith26.93%
Dallas Goedert 13.66%
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 Hurts106012.49.8321.44%
Gardner Minshew298.612.4413.8%

Blowouts against close games

2 of his 12 games were blowouts, 18.1% of his snaps coming in them. He averaged 12.8 in those and 11.8 in close games — a meaningful share of his scoring came with the game already decided.

2021 · PHI · 15 games

His best game was Week 13 against NYJ — 28.5 PPR on 6 targets and a 27.3% target share, in a game that finished 33-18. His worst was Week 12 against NYG at 1, on 3 targets, final score 7-13. Across 15 games he cleared 20 points 2 times and came in under 8 points 6 times. In the 5 games decided by 8 points or fewer he averaged 6.1; in the 10 decided by more, 13.4. He scored more when the game was not close.

Earned against scored

His usage that season was worth 9.6 points per game. He scored 11, 17.3% above it. The engine classified the season as lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1ATL32-614.24542115.6%73%
2SF11-174.4222408.3%66%
3DAL21-418.62466010.5%59%
4KC30-4216.65556111.4%74%
5CAR21-184.8232808.8%67%
7LV22-33123570016.1%93%
8DET44-613.26772043.8%68%
9LAC24-277.33643037.5%93%
10DEN30-134.8222809.1%20%
11NO40-2911.25862034.8%96%
12NYG7-131130010.3%96%
13NYJ33-1828.566105227.3%96%
15WAS27-1720.579135034.6%93%
16NYG34-104.82428014.3%84%
17WAS20-1613.16771028%93%

Production

Receptions56
Targets76
Receiving yards830
Touchdowns4
Points per game11
Yards per target10.92
Catch rate73.68%

Role

Snap share78.07%
Target share20.69%
Air-yards share19.43%
WOPR0.447
RACR1.594

Efficiency

Average depth of target8.5
Yards after catch per reception6.9
Yards before catch per reception7.9
Total YAC386
Broken tackles9
Drop rate0.1%
Passer rating when targeted121.1
Receiving EPA per game3.56

Scoring position

Red-zone targets7
Red-zone target share10.9%
End-zone target share7.7%
Expected receiving TDs1.61
Actual receiving TDs2
Receiving TD luck0.39

Who else ate

The offense threw it 494 times. He took 16.31% of the targets. 1 team-mate cleared the competing-target threshold.

DeVonta Smith22.32%
Dallas Goedert 16.31%
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 Hurts14709.7510.3620.22%
Gardner Minshew1628.517.527.3%

Blowouts against close games

5 of his 15 games were blowouts, 27.6% of his snaps coming in them. He averaged 9.12 in those and 6.12 in close games — a meaningful share of his scoring came with the game already decided.

2020 · PHI · 11 games

His best game was Week 1 against WAS — 24.1 PPR on 9 targets and a 21.4% target share, in a game that finished 17-27. His worst was Week 3 against CIN at 1.7, on 1 targets, final score 23-23. Across 11 games he cleared 20 points 2 times and came in under 8 points 6 times. In the 5 games decided by 8 points or fewer he averaged 11.4; in the 6 decided by more, 9.9. He scored more when the game was live.

Earned against scored

His usage that season was worth 10.4 points per game. He scored 10.58, 1.3% above it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1WAS17-2724.189101121.4%79%
2LA19-3774830019.5%89%
3CIN23-231.711702.3%7%
8DAL23-92.5111503.8%84%
10NYG17-277.34633016.7%93%
11CLE17-2218.75677117.6%100%
12SEA17-2320.571075123.8%100%
13GB16-3011.65766028%84%
14NO24-218.34643023.1%86%
15ARI26-337.94839020%88%
16DAL17-376.8333808.8%56%

Production

Receptions46
Targets65
Receiving yards524
Touchdowns3
Points per game10.58
Yards per target8.06
Catch rate70.77%

Role

Snap share78.73%
Target share16.82%
Air-yards share15.95%
WOPR0.365
RACR1.634

Efficiency

Average depth of target8.5
Yards after catch per reception4.5
Yards before catch per reception6.9
Total YAC206
Broken tackles6
Drop rate0%
Passer rating when targeted103.6
Receiving EPA per game1.35

Scoring position

Red-zone targets6
Red-zone target share10.2%
End-zone target share10.3%
Expected receiving TDs1.76
Actual receiving TDs2
Receiving TD luck0.24

Who else ate

The offense threw it 598 times. He took 11.61% of the targets. 0 team-mates cleared the competing-target threshold.

Greg Ward14.11%
Zach Ertz12.86%
Travis Fulgham11.96%
Dallas Goedert 11.61%
Jalen Reagor9.64%
Miles Sanders9.29%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Carson Wentz84811.678.4216.64%
Jalen Hurts3177.677.0617.3%

Blowouts against close games

2 of his 11 games were blowouts, 11.9% of his snaps coming in them. He averaged 6.9 in those and 11.42 in close games — his scoring did not depend on garbage time.

Ask the Coach about Dallas Goedert →
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