WR · TEN · GWTTKB

Tyler Lockett — fantasy football 2026

Every game, every stat category, and what the board says. 3.95 points per game in 2025, usage worth 5.5.

33 years old · 11 seasons of experience · 2015 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.

The offense he plays in, 2026

Tennessee Titans returns 2 of 6 continuity slots, replacing wr1, te1, hc, oc. Cam Ward at quarterback, Robert Saleh as head coach, Brian Daboll calling it. The offense projects to 33.5 pass attempts a game at medium confidence and 24.5 rushes.

In: Mitch Trubisky (qb2), Carnell Tate (wr1), Wan'Dale Robinson (wr2), Nicholas Singleton (rb3), Michael Carter (rb4), Daniel Bellinger (te2). Out: Tyler Lockett (wr4), Julius Chestnut (rb3), Chig Okonkwo (te1), Josh Whyle (te2).

The projected target split across the offense:

Carnell Tate18.3%
Calvin Ridley18.3%
Wan'Dale Robinson15.5%
Elic Ayomanor11.2%
Chimere Dike9.1%
Tyjae Spears8.9%

Our written view on this offense in 2026

What the offense looks like: It is an offense that could slowly be on the rise. It could QUICKLY be on the rise if Ward figures it out early in 2026 and could catch people off guard. Tate & Robinson are our primary targets. Ward is a great potential riser especially in SF. RB room is difficult to project, but Pollard it likely to be lead back in 2026 and could be a low end RB2 in fantasy.

Key additions: Titans HUGE adds to coaching staff that could turn this team aroud. HC Robert Saleh & former Giants (and QB whisperer) HC Brian Daboll head head to Tennessee and may a GREAT duo. Bring in WR Wan'Dale Robinson in free agency from NY (1000 yard slot WR last year) & draft WR Carnell Tate 4th overall. Beef up the O line with Austin Schlottmann & Volson. Drafted RB Nicholas Singleton in the 5th round (likely depth).

Key departures: HC Brian Callahan was fired after 1-5 start last season (ass) and this will be a huge help to the Titans offensive success. TE Chig Okonkwo left to Commanders in free agency

Notes: Titans draft Carnell Tate 1.04. Large potential for early breakout & Cam Ward to deliver at a high level. Calvin Ridley is trash but if Cam Ward can sling the rock could produce (we don't want to own Ridley). Ayomanor & Dike COULD be good if Ward produces but with Tate and Robinson around now will never be WR1 on the team. Could gain relevance though. Gunnar Helm entering 2nd year and should operate as TE1. Tony Pollard is aging & only has a few years left (not attractive to own). Tyjae Spears cannot stay healthy. Have to image the Titans will invest in another RB long term (Nicholas Singleton is probably not that guy either).

How the volume number was reached: Same QB Cam Ward returning — anchor to 2025 actuals (33.5 att/g); Regressed 53% toward league mean 33.5, floored at 30 → 33.5 att/g; New OC Brian Daboll — pass rate and tempo may shift; New HC Robert Saleh.

Offensive environment: TEN rates 20.8 against a league average of 23, 2.2 below 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+5.1 · easier
Weeks 1–6+0.2 · neutral
Weeks 12–17+10 · easier
Fantasy playoffs (15–17)+9.6 · easier

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.

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 -64.7% over the last twelve months. The market cycle classifies him as post-crash. The base rate that applies: after a -25% crash, WRs recover only 15% of the time (keep falling 85%).

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
Nelson Agholor20243.862%-7.7%
Josh Reynolds20244.849%-12.7%
Nelson Agholor20236.147%+25.4%
Tyler Boyd20245.247%-37.2%
Marquez Valdes-Scantling20246.545%-42.7%

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

02,0004,0006,000202120222023202420252026
Monthly superflex value, 2020-04 to 2026-07. Down 90% across the series, peaking at 6,426.

The player

Draft capital and athletic profile

Drafted2015, round 3, pick 69 by SEA
CollegeKansas St.
Age at draft22
Height5′10″
Weight182 lb
40-yard dash4.4s
Vertical35.5″
Broad jump121″
3-cone6.89s
Shuttle4.07s

Availability and volatility

Career PPR per game10.9
Week-to-week variation0.8
Boom rate19.8%
Bust rate33.3%
Games missed per season0.2
Injury historyHand
Correlation between his posted line and his actual score-0.11

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 · TEN · 17 games

His best game was Week 12 against CLE — 10.2 PPR on 5 targets and a 11.9% target share, in a game that finished 10-24. His worst was Week 9 against JAX at 0, on 1 targets, final score 29-30. Across 17 games he cleared 20 points 0 times and came in under 8 points 14 times. In the 7 games decided by 8 points or fewer he averaged 3; in the 10 decided by more, 4.6. He scored more when the game was not close.

Earned against scored

His usage that season was worth 5.5 points per game. He scored 3.95, 28.5% below it. The engine classified the season as very_unlucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DEN12-20001004%58%
2LA19-332.923909.7%48%
3IND20-417.74437011.8%54%
4HOU0-260040017.4%72%
5ARI22-211.6146010.8%25%
6LV10-20113008.8%33%
7NE13-313.8221806.3%26%
9JAX29-30001002.6%30%
10DEN7-109.45644024%57%
11DAL16-336.3333307.7%47%
12CLE10-2410.24562011.9%76%
13LAC14-312.1111104.5%52%
14DEN17-247.13441014.3%60%
15PHI0-3132410016%76%
16HOU21-231.612609.1%28%
17NYG10-348.9239110.7%56%
18KC14-121.5155019.2%52%

Production

Receptions32
Targets55
Receiving yards291
Touchdowns1
Points per game3.95
Yards per target5.29
Catch rate58.18%

Role

Snap share50%
Target share11.11%
Air-yards share13.29%
WOPR0.261
RACR0.801

Efficiency

Average depth of target7.8
Yards after catch per reception2.3
Yards before catch per reception7.7
Total YAC51
Broken tackles1
Drop rate0.1%
Passer rating when targeted80.6
Receiving EPA per game-0.5

Scoring position

Red-zone targets2
Red-zone target share3.3%
End-zone target share8.7%
Expected receiving TDs0.8
Actual receiving TDs1
Receiving TD luck0.2

Who else ate

The offense threw it 570 times. 1 team-mate cleared the competing-target threshold.

Elic Ayomanor16.82%
Chigoziem Okonkwo14.93%
Chimere Dike13.99%
Gunnar Helm10.4%
Van Jefferson9.83%
Tyjae Spears9.45%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Cam Ward15443.755.59.71%
unknown169.47.3324%
Brandon Allen151.5119.2%

Blowouts against close games

7 of his 17 games were blowouts, 47.4% of his snaps coming in them. He averaged 4.54 in those and 3.03 in close games — a meaningful share of his scoring came with the game already decided.

2024 · SEA · 17 games

His best game was Week 6 against SF — 16.5 PPR on 8 targets and a 16.7% target share, in a game that finished 24-36. His worst was Week 14 against ARI at 0, on 1 targets, final score 30-18. Across 17 games he cleared 20 points 0 times and came in under 8 points 10 times. In the 8 games decided by 8 points or fewer he averaged 6.8; in the 9 decided by more, 7.4. He scored more when the game was not close.

Earned against scored

His usage that season was worth 7.7 points per game. He scored 7.12, 7.7% below it. The engine classified the season as neutral. On receiving touchdowns specifically he finished 1 against 2.96 expected, a gap of -2.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DEN26-2013.76777028%54%
2NE23-203.5221504.7%81%
3MIA24-39.65846024.2%56%
4DET29-4211.15961017%71%
5NYG20-2911.54675015.4%84%
6SF24-3616.54865116.7%78%
7ATL34-148.54645021.4%60%
8BUF10-311.9139011.1%78%
9LA20-2615.33463111.8%89%
11SF20-173.9231909.7%78%
12ARI16-642320010.7%64%
13NYJ26-214.63316010.3%47%
14ARI30-18001003.4%67%
15GB13-303.2112203.2%76%
16MIN24-273.9221904.8%69%
17CHI6-353420018.2%69%
18LA30-254.82428014.8%53%

Production

Receptions49
Targets74
Receiving yards600
Touchdowns2
Points per game7.12
Yards per target8.11
Catch rate66.22%

Role

Snap share69.06%
Target share13.26%
Air-yards share19.82%
WOPR0.338
RACR0.894

Efficiency

Average depth of target10.7
Yards after catch per reception2.7
Yards before catch per reception9.5
Total YAC134
Broken tackles1
Drop rate0.1%
Passer rating when targeted77.5
Receiving EPA per game0.72

Scoring position

Red-zone targets10
Red-zone target share16.7%
End-zone target share23.3%
Expected receiving TDs2.96
Actual receiving TDs1
Receiving TD luck-1.96

Who else ate

The offense threw it 593 times. He took 13.01% of the targets. 2 team-mates cleared the competing-target threshold.

Jaxon Smith-Njigba24.08%
DK Metcalf18.98%
Tyler Lockett 13.01%
Noah Fant11.25%
Kenneth Walker9.31%
Zach Charbonnet9.14%

Blowouts against close games

4 of his 17 games were blowouts, 19.2% of his snaps coming in them. He averaged 5.8 in those and 6.84 in close games — his scoring did not depend on garbage time.

2023 · SEA · 17 games

His best game was Week 2 against DET — 25.9 PPR on 10 targets and a 27% target share, in a game that finished 37-31. His worst was Week 17 against PIT at 2, on 5 targets, final score 23-30. Across 17 games he cleared 20 points 3 times and came in under 8 points 6 times. In the 10 games decided by 8 points or fewer he averaged 14.7; in the 7 decided by more, 8. He scored more when the game was live.

Earned against scored

His usage that season was worth 12.3 points per game. He scored 11.91, 3.4% below it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1LA13-3032410016.7%88%
2DET37-3125.981059227%86%
3CAR37-278.43734020%81%
4NYG24-39.44654023.1%69%
6CIN13-1715.46894021.6%77%
7ARI20-107.84538020.8%70%
8CLE24-2022.18981125%84%
9BAL3-376.23832032%90%
10WAS29-2623.281092123.8%79%
11LA16-1710.15751018.4%55%
12SF13-3163530018.5%95%
13DAL35-419.75847021.1%88%
14SF16-2814.96689019.4%81%
15PHI20-175.13921028.1%75%
16TEN20-1716.181181030.6%81%
17PIT23-3021510015.2%82%
18ARI21-2017.12471115.4%78%

Production

Receptions79
Targets122
Receiving yards894
Touchdowns5
Points per game11.91
Yards per target7.33
Catch rate64.75%

Role

Snap share79.94%
Target share22.16%
Air-yards share32.74%
WOPR0.561
RACR0.684

Efficiency

Average depth of target10.8
Yards after catch per reception2.7
Yards before catch per reception8.7
Total YAC210
Broken tackles1
Drop rate0%
Passer rating when targeted86.6
Receiving EPA per game2.43

Scoring position

Red-zone targets13
Red-zone target share19.7%
End-zone target share25%
Expected receiving TDs3.24
Actual receiving TDs4
Receiving TD luck0.76

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game36 of 51
Yards per target41 of 51
Target share33 of 51
Air-yards share23 of 51

Who else ate

The offense threw it 575 times. He took 22.34% of the targets. 2 team-mates cleared the competing-target threshold.

Tyler Lockett 22.34%
DK Metcalf21.79%
Jaxon Smith-Njigba17.03%
Noah Fant7.88%
Zach Charbonnet7.33%
Kenneth Walker6.78%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Geno Smith1510712.167.3321.95%
Drew Lock215107.3323.75%

Blowouts against close games

4 of his 17 games were blowouts, 12.2% of his snaps coming in them. He averaged 6.15 in those and 14.67 in close games — his scoring did not depend on garbage time.

2022 · SEA · 16 games

His best game was Week 13 against LA — 27.8 PPR on 12 targets and a 32.4% target share, in a game that finished 27-23. His worst was Week 17 against NYJ at 3.5, on 2 targets, final score 23-6. Across 16 games he cleared 20 points 2 times and came in under 8 points 3 times. In the 10 games decided by 8 points or fewer he averaged 16.8; in the 6 decided by more, 11.9. He scored more when the game was live.

Earned against scored

His usage that season was worth 12.6 points per game. He scored 14.96, 16.7% above it. The engine classified the season as lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DEN17-165.83428014.8%80%
2SF7-2719.7911107036.7%92%
3ATL23-2716.691176025%82%
4DET48-4515.16891027.6%78%
5NO32-3927.456104225%96%
6ARI19-93.72517016.7%81%
7LAC37-2311.57845030.8%65%
8NYG27-1315.35863124.2%69%
9ARI31-2117.75567115.6%74%
10TB16-2113.23542115.2%90%
12LV34-4015.83768118.9%88%
13LA27-2327.8912128132.4%88%
14CAR24-30175960125%93%
15SF13-2113.87968022%89%
17NYJ23-63.5221507.1%32%
18LA19-1615.44754125%79%

Production

Receptions84
Targets117
Receiving yards1,033
Touchdowns9
Points per game14.96
Yards per target8.83
Catch rate71.79%

Role

Snap share79.75%
Target share22.63%
Air-yards share30.93%
WOPR0.556
RACR0.996

Efficiency

Average depth of target10.6
Yards after catch per reception3.3
Yards before catch per reception9
Total YAC274
Broken tackles1
Drop rate0%
Passer rating when targeted106.5
Receiving EPA per game2.39

Scoring position

Red-zone targets10
Red-zone target share12.8%
End-zone target share9.3%
Expected receiving TDs2.29
Actual receiving TDs2
Receiving TD luck-0.29

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game16 of 51
Yards per target16 of 51
Target share26 of 51
Air-yards share21 of 51

Who else ate

The offense threw it 573 times. He took 21.16% of the targets. 1 team-mate cleared the competing-target threshold.

DK Metcalf25.5%
Tyler Lockett 21.16%
Noah Fant11.39%
Marquise Goodwin7.59%
Will Dissly6.87%
Kenneth Walker6.33%

Blowouts against close games

2 of his 16 games were blowouts, 9.7% of his snaps coming in them. He averaged 11.6 in those and 16.79 in close games — his scoring did not depend on garbage time.

2021 · SEA · 16 games

His best game was Week 2 against TEN — 31.8 PPR on 11 targets and a 35.5% target share, in a game that finished 30-33. His worst was Week 7 against NO at 3.2, on 3 targets, final score 10-13. Across 16 games he cleared 20 points 5 times and came in under 8 points 6 times. In the 8 games decided by 8 points or fewer he averaged 14; in the 8 decided by more, 16.1. He scored more when the game was not close.

Earned against scored

His usage that season was worth 11.6 points per game. He scored 15.09, 30.2% above it. The engine classified the season as very_lucky. On receiving touchdowns specifically he finished 3 against 1.66 expected, a gap of 1.3.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1IND28-162645100223.8%85%
2TEN30-3331.8811178135.5%93%
3MIN17-307.14431014.3%92%
4SF28-216.44524022.7%86%
5LA17-2610.751057031.3%86%
6PIT20-235.52735022.6%89%
7NO10-133.22312015.8%86%
8JAX31-726.21213142059.1%77%
10GB0-174.32823021.1%95%
11ARI13-2315.545115020%92%
12WAS15-1712.63596016.1%100%
13SF30-2319.87868121.6%84%
14HOU33-1327.259142132.1%75%
16CHI24-2563630022.2%86%
17DET51-2912.13324110.7%83%
18ARI38-30275598219.2%88%

Production

Receptions73
Targets107
Receiving yards1,175
Carries2
Rushing yards9
Touchdowns8
Points per game15.09
Yards per target10.98
Catch rate68.22%
Yards per carry4.5

Role

Snap share87.31%
Target share24.26%
Air-yards share36.18%
WOPR0.617
RACR0.931

Efficiency

Average depth of target14.6
Yards after catch per reception3.8
Yards before catch per reception12.3
Total YAC277
Broken tackles2
Drop rate0%
Passer rating when targeted117.9
Receiving EPA per game3.35
Rushing EPA per game-0.01

Scoring position

Red-zone targets7
Red-zone target share12.3%
End-zone target share18.5%
Expected receiving TDs1.66
Actual receiving TDs3
Receiving TD luck1.34

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game17 of 48
Yards per target3 of 48
Target share19 of 48
Air-yards share9 of 48

Who else ate

The offense threw it 495 times. He took 22.62% of the targets. 1 team-mate cleared the competing-target threshold.

DK Metcalf27.27%
Tyler Lockett 22.62%
Gerald Everett13.32%
Freddie Swain8.46%
Will Dissly5.5%
DeeJay Dallas4.86%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Russell Wilson127416.3212.5521.61%
Geno Smith43311.47.4532.2%

Blowouts against close games

4 of his 16 games were blowouts, 28.9% of his snaps coming in them. He averaged 17.45 in those and 14.04 in close games — a meaningful share of his scoring came with the game already decided.

2020 · SEA · 16 games

His best game was Week 7 against ARI — 53 PPR on 20 targets and a 41.7% target share, in a game that finished 34-37. His worst was Week 12 against PHI at 5.3, on 4 targets, final score 23-17. Across 16 games he cleared 20 points 4 times and came in under 8 points 5 times. In the 11 games decided by 8 points or fewer he averaged 19.6; in the 5 decided by more, 10. He scored more when the game was live.

Earned against scored

His usage that season was worth 14.4 points per game. He scored 16.59, 10.8% above it. The engine classified the season as lucky. On receiving touchdowns specifically he finished 8 against 5.18 expected, a gap of 2.8.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1ATL38-2517.28892022.9%94%
2NE35-3019.77867132%95%
3DAL38-3137913100334.2%97%
4MIA31-235.92439012.1%89%
5MIN27-268.44544016.7%96%
7ARI34-37531520200341.7%93%
8SF37-277.34533013.9%87%
9BUF34-4484740017.5%95%
10LA16-2311.65966025.7%87%
11ARI28-2121.79967133.3%74%
12PHI23-175.33423013.3%90%
13NYG12-1712.36963022%86%
14NYJ40-310.25552015.6%64%
15WAS20-157.44734026.9%91%
16LA20-97.43544017.2%94%
17SF26-2333121490243.8%89%

Production

Receptions100
Targets132
Receiving yards1,054
Touchdowns10
Points per game16.59
Yards per target7.98
Catch rate75.76%

Role

Snap share88.81%
Target share24.3%
Air-yards share26.15%
WOPR0.548
RACR1.011

Efficiency

Average depth of target9.7
Yards after catch per reception3.3
Yards before catch per reception7.3
Total YAC327
Broken tackles2
Drop rate0.1%
Passer rating when targeted120.6
Receiving EPA per game4.6

Scoring position

Red-zone targets16
Red-zone target share19%
End-zone target share20%
Expected receiving TDs5.18
Actual receiving TDs8
Receiving TD luck2.82

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game11 of 51
Yards per target32 of 51
Target share17 of 51
Air-yards share28 of 51

Who else ate

The offense threw it 563 times. He took 24.63% of the targets. 1 team-mate cleared the competing-target threshold.

Tyler Lockett 24.63%
DK Metcalf24.07%
David Moore8.77%
Chris Carson8.58%
Jacob Hollister7.46%
Greg Olsen6.9%

Blowouts against close games

1 of his 16 games were blowouts, 3.8% of his snaps coming in them. He averaged 10.2 in those and 19.57 in close games — his scoring did not depend on garbage time.

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