TE · LA · GWTTKB

Tyler Higbee — fantasy football 2026

Every game, every stat category, and what the board says. 7.11 points per game in 2025, an ADP of 169.8, usage worth 5.9.

33 years old · 10 seasons of experience · 2016 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 169.8
Consensus across 1 books, 0 picks between cheapest and priciest. Cheapest on underdog, priciest on espn.
ESPN169.8
UNDERDOG216
FFA245

Draft-room facts

Goes aroundRound 15, pick 2 in a 12-team draft
Positional rankTE30

2026 schedule

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

Full season-0.6 · neutral
Weeks 1–6-5.3 · harder
Weeks 12–17+2.8 · easier
Fantasy playoffs (15–17)+8.6 · 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.

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
20232Davis Allen+10
20243Hunter Long+3.2

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 +39.6% over the last twelve months. The market cycle classifies him as post-spike. The base rate that applies: after a +30% spike, TEs crash the following year 47% of the time (hold 53%). That puts the measured risk of his dynasty value falling sharply over the next year at 47% — a probability drawn from comparable historical seasons, not a prediction, and not a statement about his 2026 scoring.

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
Austin Hooper20246.458%-14.1%
Tyler Conklin20247.652%-29.8%
Dalton Schultz2024750%+11.1%
Austin Hooper2023350%+46.1%
Mike Gesicki20248.850%-15.8%

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

02,0004,000202120222023202420252026
Monthly superflex value, 2020-04 to 2026-07. Down 33% across the series, peaking at 3,299.

The player

Draft capital and athletic profile

Drafted2016, round 4, pick 110 by LAR
CollegeWestern Kentucky
Age at draft23
Height6′6″
Weight249 lb
40-yard dash4.77s

Availability and volatility

Career PPR per game8.4
Week-to-week variation0.7
Boom rate21.4%
Bust rate25%
Games missed per season0.6
Injury historyNeck, Shoulder, Hip

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 · LA · 10 games

His best game was Week 18 against ARI — 20.1 PPR on 6 targets and a 16.2% target share, in a game that finished 37-20. His worst was Week 3 against PHI at 0, on 2 targets, final score 26-33. Across 10 games he cleared 20 points 1 time and came in under 8 points 7 times. In the 4 games decided by 8 points or fewer he averaged 2; in the 6 decided by more, 10.6. He scored more when the game was not close.

Earned against scored

His usage that season was worth 5.9 points per game. He scored 7.11, 9.4% above it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1HOU14-9000000%58%
2TEN33-197.74437012.5%75%
3PHI26-33002006.1%55%
4IND27-204.52525012.5%55%
6BAL17-3144440115.4%66%
7JAX35-74.93619018.2%37%
9NO34-1010.33413112.9%52%
10SF42-266.3333308.8%54%
11SEA21-193.3122307.4%39%
18ARI37-2020.15691116.2%64%

Production

Receptions25
Targets36
Receiving yards281
Touchdowns3
Points per game7.11
Yards per target7.81
Catch rate69.44%

Role

Snap share55.5%
Target share11%
Air-yards share0.86%
WOPR0.173
RACR3.187

Efficiency

Average depth of target5.9
Yards after catch per reception5.6
Yards before catch per reception5.6
Total YAC140
Broken tackles0
Drop rate0.1%
Passer rating when targeted120.3
Receiving EPA per game0.94

Scoring position

Red-zone targets10
Red-zone target share7.9%
End-zone target share3.7%
Expected receiving TDs2.27
Actual receiving TDs2
Receiving TD luck-0.27

Who else ate

The offense threw it 597 times. He took 6.2% of the targets. 2 team-mates cleared the competing-target threshold.

Puka Nacua28.57%
Davante Adams19.62%
Colby Parkinson9.64%
Kyren Williams8.61%
Tyler Higbee 6.2%
Davis Allen5.68%

Blowouts against close games

3 of his 10 games were blowouts, 49.7% of his snaps coming in them. He averaged 11.77 in those and 1.95 in close games — a meaningful share of his scoring came with the game already decided.

2024 · LA · 3 games

Earned against scored

His usage that season was worth 9.6 points per game. He scored 8.87, 16.7% above it. The engine classified the season as lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
16NYJ19-98.11211110.5%27%
17ARI13-92.9239010.7%30%
18SEA25-3015.65746117.5%41%

Production

Receptions8
Targets12
Receiving yards66
Touchdowns2
Points per game8.87
Yards per target5.5
Catch rate66.67%

Role

Snap share32.67%
Target share12.9%
Air-yards share6.4%
WOPR0.24
RACR2.23

Efficiency

Average depth of target2.2
Yards after catch per reception6
Yards before catch per reception2.3
Total YAC48
Broken tackles0
Drop rate0%
Passer rating when targeted120.1
Receiving EPA per game1.65

Scoring position

Red-zone targets11
Red-zone target share11.7%
End-zone target share5.3%
Expected receiving TDs2.93
Actual receiving TDs3
Receiving TD luck0.07

Who else ate

The offense threw it 559 times. 2 team-mates cleared the competing-target threshold.

Puka Nacua19.59%
Cooper Kupp18.48%
Demarcus Robinson11.83%
Tutu Atwell11.46%
Colby Parkinson9.06%
Tyler Johnson7.58%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Matthew Stafford255.5410.6%
Jimmy Garoppolo1715.66.5717.5%

2023 · LA · 15 games

His best game was Week 12 against ARI — 19.9 PPR on 5 targets and a 16.1% target share, in a game that finished 37-14. His worst was Week 9 against GB at 0, on 1 targets, final score 3-20. Across 15 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 7.2; in the 7 decided by more, 7.2. Game state made no difference to his scoring.

Earned against scored

His usage that season was worth 7.7 points per game. He scored 7.23, 11.6% below it. The engine classified the season as unlucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1SEA30-137.9334908.1%91%
2SF23-304.23712013.5%93%
3CIN16-1912.15571015.6%96%
4IND29-2311.451164028.2%94%
5PHI14-234232008.8%89%
6ARI26-93.82318014.3%95%
7PIT17-241.7137011.1%90%
8DAL20-439.55745021.9%87%
9GB3-20001003.7%91%
11SEA17-162.71317010.3%99%
12ARI37-1419.95529216.1%75%
13CLE36-195.52435011.8%67%
15WAS28-207.64536015.6%63%
16NO30-226333009.4%74%
17NYG26-2512.26762020.6%94%

Production

Receptions47
Targets70
Receiving yards495
Touchdowns2
Points per game7.23
Yards per target7.07
Catch rate67.14%

Role

Snap share86.53%
Target share13.93%
Air-yards share10.79%
WOPR0.285
RACR1.695

Efficiency

Average depth of target5.8
Yards after catch per reception5.2
Yards before catch per reception5.3
Total YAC246
Broken tackles2
Drop rate0.1%
Passer rating when targeted97
Receiving EPA per game1.25

Scoring position

Red-zone targets5
Red-zone target share6.1%
End-zone target share3.2%
Expected receiving TDs1.43
Actual receiving TDs2
Receiving TD luck0.57

Who else ate

The offense threw it 583 times. He took 12.61% of the targets. 2 team-mates cleared the competing-target threshold.

Puka Nacua28.83%
Cooper Kupp17.12%
Tyler Higbee 12.61%
Tutu Atwell12.07%
Kyren Williams8.65%
Demarcus Robinson7.03%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Matthew Stafford14697.757.1714.66%
Brett Rypien11003.7%

Blowouts against close games

6 of his 15 games were blowouts, 43% of his snaps coming in them. He averaged 7.77 in those and 7.24 in close games — a meaningful share of his scoring came with the game already decided.

2022 · LA · 16 games

His best game was Week 16 against DEN — 30.4 PPR on 11 targets and a 39.3% target share, in a game that finished 51-14. His worst was Week 9 against TB at 0, on 1 targets, final score 13-16. Across 16 games he cleared 20 points 1 time and came in under 8 points 7 times. In the 7 games decided by 8 points or fewer he averaged 6.6; in the 9 decided by more, 11.7. He scored more when the game was not close.

Earned against scored

His usage that season was worth 11.8 points per game. He scored 9.5, 19.6% below it. The engine classified the season as unlucky. On receiving touchdowns specifically he finished 3 against 4.06 expected, a gap of -1.1.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1BUF10-318.951139026.8%94%
2ATL31-2714.17971025.7%97%
3ARI20-1210.14461016%94%
4SF9-2417.3101473029.2%93%
5DAL10-2211.671046023.8%97%
6CAR24-101.712706.5%78%
8SF14-313.52615018.8%69%
9TB13-16001003.8%79%
10ARI17-2715.38873021.6%80%
11NO20-278.54845029.6%92%
13SEA23-273.42514020%84%
14LV17-163.1231108.8%95%
15GB12-2412.74527125%89%
16DEN51-1430.491194239.3%91%
17LAC10-314.13411022.2%90%
18SEA16-197.34733029.2%89%

Production

Receptions72
Targets108
Receiving yards620
Touchdowns3
Points per game9.5
Yards per target5.74
Catch rate66.67%

Role

Snap share88.19%
Target share21.64%
Air-yards share9.32%
WOPR0.391
RACR1.592

Efficiency

Average depth of target3
Yards after catch per reception5.6
Yards before catch per reception3
Total YAC404
Broken tackles3
Drop rate0.1%
Passer rating when targeted79.2
Receiving EPA per game0.31

Scoring position

Red-zone targets16
Red-zone target share23.5%
End-zone target share20.7%
Expected receiving TDs4.06
Actual receiving TDs3
Receiving TD luck-1.06

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game9 of 11
Yards per target11 of 11
Target share3 of 11
Air-yards share11 of 11

Who else ate

The offense threw it 529 times. He took 20.93% of the targets. 1 team-mate cleared the competing-target threshold.

Tyler Higbee 20.93%
Cooper Kupp18.99%
Ben Skowronek11.82%
Allen Robinson10.08%
Van Jefferson8.53%
Tutu Atwell6.78%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Matthew Stafford9658.415.4920.02%
Baker Mayfield53011.525.8724.9%
John Wolford2139.356.6920.8%

Blowouts against close games

4 of his 16 games were blowouts, 30.9% of his snaps coming in them. He averaged 11.72 in those and 6.64 in close games — a meaningful share of his scoring came with the game already decided.

2021 · LA · 15 games

His best game was Week 18 against SF — 23.5 PPR on 8 targets and a 25% target share, in a game that finished 24-27. His worst was Week 12 against GB at 1.3, on 5 targets, final score 28-36. Across 15 games he cleared 20 points 1 time and came in under 8 points 4 times. In the 5 games decided by 8 points or fewer he averaged 9.7; in the 10 decided by more, 9.8. 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 9.8, 3.1% below it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1CHI34-1411.85668023.1%100%
2IND27-241.811803.4%100%
3TB34-24155540113.2%75%
4ARI20-377.64636014.6%79%
5SEA26-179.4221415.7%84%
6NYG38-118.65536016.7%100%
7DET28-199.65846019.5%100%
8HOU38-225.5332508.8%69%
9TEN16-2810.151051021.3%97%
10SF10-31113520111.9%98%
12GB28-361.3153012.8%100%
13JAX37-79.85648016.2%93%
16MIN30-239.15641016.2%91%
17BAL20-1912.96969025.7%97%
18SF24-2723.56855225%94%

Production

Receptions61
Targets85
Receiving yards560
Touchdowns5
Points per game9.8
Yards per target6.59
Catch rate71.76%

Role

Snap share91.8%
Target share15.61%
Air-yards share10.3%
WOPR0.305
RACR3.695

Efficiency

Average depth of target5.3
Yards after catch per reception4.6
Yards before catch per reception4.6
Total YAC281
Broken tackles1
Drop rate0%
Passer rating when targeted94.2
Receiving EPA per game0.27

Scoring position

Red-zone targets21
Red-zone target share15.4%
End-zone target share12.7%
Expected receiving TDs5.36
Actual receiving TDs5
Receiving TD luck-0.36

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game11 of 15
Yards per target14 of 15
Target share13 of 15
Air-yards share14 of 15

Who else ate

The offense threw it 606 times. He took 14.12% of the targets. 1 team-mate cleared the competing-target threshold.

Cooper Kupp31.73%
Van Jefferson14.78%
Tyler Higbee 14.12%
Robert Woods11.46%
Odell Beckham7.97%
Darrell Henderson6.64%

Blowouts against close games

5 of his 15 games were blowouts, 33.2% of his snaps coming in them. He averaged 9.76 in those and 9.72 in close games — a meaningful share of his scoring came with the game already decided.

2020 · LA · 15 games

His best game was Week 2 against PHI — 28.4 PPR on 5 targets and a 19.2% target share, in a game that finished 37-19. His worst was Week 12 against SF at 1.6, on 2 targets, final score 20-23. Across 15 games he cleared 20 points 1 time and came in under 8 points 9 times. In the 8 games decided by 8 points or fewer he averaged 7.7; in the 7 decided by more, 9.5. He scored more when the game was not close.

Earned against scored

His usage that season was worth 6.8 points per game. He scored 8.55, 15% above it. The engine classified the season as lucky. On receiving touchdowns specifically he finished 4 against 2.32 expected, a gap of 1.7.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DAL20-1773440014.3%89%
2PHI37-1928.45554319.2%86%
3BUF32-358224006.5%72%
4NYG17-953420012.5%84%
5WAS30-103.2221206.9%82%
6SF16-248.63456010.8%75%
8MIA17-283.4241407%60%
10SEA23-1693660016.7%84%
11TB27-246441908.2%72%
12SF20-231.612606.7%61%
13ARI38-2812.44624113.6%84%
14NE24-35.4223408.3%87%
15NYJ20-2316.74567116.7%83%
16SEA9-206.43634014.6%69%
17ARI18-77.13441010.8%82%

Production

Receptions44
Targets60
Receiving yards521
Carries1
Rushing yards1
Touchdowns5
Points per game8.55
Yards per target8.68
Catch rate73.33%
Yards per carry1

Role

Snap share78%
Target share11.52%
Air-yards share13.81%
WOPR0.269
RACR1.294

Efficiency

Average depth of target8
Yards after catch per reception5.4
Yards before catch per reception6.4
Total YAC238
Broken tackles4
Drop rate0.1%
Passer rating when targeted127.2
Receiving EPA per game2.35
Rushing EPA per game-0.05

Scoring position

Red-zone targets6
Red-zone target share10.2%
End-zone target share10.5%
Expected receiving TDs2.32
Actual receiving TDs4
Receiving TD luck1.68

Who else ate

The offense threw it 590 times. He took 10.68% of the targets. 2 team-mates cleared the competing-target threshold.

Robert Woods22.95%
Cooper Kupp22.06%
Josh Reynolds14.41%
Gerald Everett11.03%
Tyler Higbee 10.68%
Malcolm Brown5.87%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Jared Goff14568.658.5711.57%
John Wolford147.110.2510.8%

Blowouts against close games

3 of his 15 games were blowouts, 28.9% of his snaps coming in them. He averaged 12.33 in those and 7.74 in close games — a meaningful share of his scoring came with the game already decided.

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