WR · LV · GWTTKB

Jalen Nailor — fantasy football 2026

Every game, every stat category, and what the board says. 5.92 points per game in 2025, an ADP of 156.4, usage worth 5.3.

27 years old · 4 seasons of experience · 2022 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 156.4
Consensus across 4 books, standard deviation 23.2, 50.8 picks between cheapest and priciest. Cheapest on sleeper, priciest on yahoo.
SLEEPER181.2
ESPN169.8
YAHOO130.4
UNDERDOG148
CBS144.3
FFA159

Draft-room facts

Goes aroundRound 13, pick 12 in a 12-team draft
Positional rankWR61
Bye week13
ADP standard deviation23.2 picks

What we project for 2026

Our board has him at 126.9 points, 7.7 per game — 47.7 catches, 606 yards, 3.1 TDs. That is WR6, 154 overall.

The range runs from a floor of 2.9 points per game to a ceiling of 14.8, with the median at 7.7. Boom rate 93%, bust rate 62%. The spread is the actual bet, not the middle number.

He goes at 156.4 on consensus and our board has him 154. Those agree, so there is no market disagreement to exploit. The question is whether you want the profile, not whether it is mispriced.

The offense he plays in, 2026

Las Vegas Raiders returns 2 of 6 continuity slots, replacing qb1, wr1, hc, oc. Kirk Cousins at quarterback, Klint Kubiak as head coach, Andrew Janocko calling it. The offense projects to 32.2 pass attempts a game at low confidence and 24.8 rushes.

In: Kirk Cousins (qb), Fernando Mendoza (qb2), Jalen Nailor (wr1), Malik Benson (wr5), Dareke Young (wr6), Philip Dorsett II (wr7), Mike Washington Jr (rb2), Chris Collier (rb4). Out: Geno Smith (qb), Jach Bech (wr2), Tyler Lockett (wr3), Raheem Mostert (rb2), Zamir White (rb3).

His own projected target share for 2026 is 7%, with a bear case of 5.6% and a bull case of 8.5% and a full range of 4.5% to 11.8%. That comes from 29 historical comparables, not from a depth chart.

The projected target split across the offense:

Brock Bowers21%
Tre Tucker14%
Ashton Jeanty12.7%
Michael Mayer9.7%
Dont'e Thornton Jr.7.7%
Jack Bech7.4%

Our written view on this offense in 2026

What the offense looks like: If this offense can click, the top players in this offense will all have their values increase significantly. There is talent here: Bowers, Jeanty, Mendoza. But this WR corp is lacking, however Tucker, Nailor, Bech, and even Thornton Jr have a huge opportunity to step up.

Key additions: Drafted Fernando Mendoza 1 overall. Kirk Cousins signed in free agency on vet minimum deal. C Tyler Linderbaum landed HUGE deal coming over from Baltimore (top center in NFL). WR Jalen Nailor landed a 3 year deal & COULD be raiders WR1 IF no other veterans are brought in.

Key departures: QB Geno Smith was traded to the Jets.

Notes: Mendoza 1.01 franchise QB of the future. Raiders also signed Kirk Cousins & he is assumed week 1 starter. Mendoza may not play early half of season unless beats Cousins out in camp. Raiders spent big in free agency and O line should be better but still bad. Buy Bowers long-term. Monitor Mendoza development. Raiders will probably sign a veteran WR who could operate as WR1, either Jauan Jennings or Diggs or Tyreek Hill or Keenan Allen potentially. Tyreek Hill also an option. Mike Washington Jr will back up Ashton Jeanty. New HC Klint Kubiak former Seahawks OC should also boost offense creativity.

How the volume number was reached: New QB Kirk Cousins, avg 29.6 att/g over 2025,2024; Regressed 65% toward league mean 33.5, floored at 30 → 32.1 att/g; New OC Andrew Janocko — pass rate and tempo may shift; New HC Klint Kubiak.

How that share projection was built

29 historical comps for WRs age ~25, prior share 10.9%, team change, OC change, QB change. Distribution: median 6.0%, p25-p75 [3.8%, 8.2%], tails [2.1%, 13.5%]. Closest comps: James Washington 2021→2022 (PIT→DAL: 10.3%→2.6%); David Moore 2020→2021 (SEA→DEN: 10.9%→5.7%); Cedrick Wilson 2023→2024 (MIA→NO: 11.8%→7.9%).

arrival self-anchored 32% to own 10.9% 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: LV rates 19.6 against a league average of 23, 3.4 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 · harder
Weeks 1–6-9.6 · harder
Weeks 12–17-3.6 · harder
Fantasy playoffs (15–17)+3.6 · 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.

Read the full Jalen Nailor 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 +64% over the last twelve months. The market cycle classifies him as post-spike. The base rate that applies: after a +30% spike, WRs crash the following year 40% of the time (hold 60%). That puts the measured risk of his dynasty value falling sharply over the next year at 40% — 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 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
Nick Westbrook-Ikhine20236.570%+140%
K.J. Osborn2023869%-28.8%
Noah Brown20227.267%+77.5%
K.J. Osborn20229.267%-2.3%
Nick Westbrook-Ikhine20225.266%-6.8%

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

02,0002023202420252026
Monthly superflex value, 2022-03 to 2026-07. From 0 to 2,520, peaking at 2,520.

The player

Draft capital and athletic profile

Drafted2022, round 6, pick 191 by MIN
CollegeMichigan St.
Age at draft23
Height5′11″
Weight186 lb
40-yard dash4.5s
Vertical38″
Broad jump128″
3-cone7.03s
Shuttle4.28s

Availability and volatility

Career PPR per game5.8
Week-to-week variation1.1
Boom rate16.1%
Bust rate48.4%
Games missed per season0
Correlation between his posted line and his actual score0.17

The record, season by season

2025 · MIN · 17 games

His best game was Week 10 against BAL — 23.4 PPR on 6 targets and a 14.6% target share, in a game that finished 19-27. His worst was Week 17 against DET at 0, on 1 targets, final score 23-10. Across 17 games he cleared 20 points 1 time and came in under 8 points 14 times. In the 9 games decided by 8 points or fewer he averaged 8.2; in the 8 decided by more, 3.3. He scored more when the game was live.

Earned against scored

His usage that season was worth 5.3 points per game. He scored 5.92, 11.3% above it. The engine classified the season as lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1CHI27-243.81328015%88%
2ATL6-226.13531023.8%100%
3CIN48-106.73537020.8%83%
4PIT21-249.214219.5%63%
5CLE21-177.23427011.8%65%
7PHI22-285.72437010%59%
8LAC10-37001003.3%69%
9DET27-242.61416017.4%53%
10BAL19-2723.456124114.6%68%
11CHI17-192.6111603.1%60%
12GB6-23001005.6%45%
13SEA0-26001003.4%69%
14WAS31-063330013%58%
15DAL34-2619.53547220.8%51%
16NYG16-13002008.7%62%
17DET23-10001007.1%43%
18GB16-37.93349010%75%

Production

Receptions29
Targets53
Receiving yards444
Carries2
Rushing yards13
Touchdowns4
Points per game5.92
Yards per target8.38
Catch rate54.72%
Yards per carry6.5

Role

Snap share65.35%
Target share11.64%
Air-yards share17.14%
WOPR0.294
RACR0.658

Efficiency

Average depth of target12.5
Yards after catch per reception3.9
Yards before catch per reception11.4
Total YAC112
Broken tackles2
Drop rate0%
Passer rating when targeted68.4
Receiving EPA per game0.68
Rushing EPA per game-0.08

Scoring position

Red-zone targets12
Red-zone target share16.4%
End-zone target share18.8%
Expected receiving TDs3.5
Actual receiving TDs4
Receiving TD luck0.5

Who else ate

The offense threw it 484 times. He took 11.37% of the targets. 2 team-mates cleared the competing-target threshold.

Justin Jefferson30.26%
Jordan Addison16.95%
T.J. Hockenson14.16%
Jalen Nailor 11.37%
Aaron Jones8.8%
Josh Oliver4.08%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
J.J. McCarthy10337.1910.3313.2%
Carson Wentz5185.765.7211.08%
Max Brosmer22005.25%

Blowouts against close games

5 of his 17 games were blowouts, 12.6% of his snaps coming in them. He averaged 2.54 in those and 8.22 in close games — his scoring did not depend on garbage time.

2024 · MIN · 15 games

His best game was Week 17 against GB — 19.1 PPR on 5 targets and a 12.2% target share, in a game that finished 27-25. His worst was Week 11 against TEN at 0, on 2 targets, final score 23-13. Across 15 games he cleared 20 points 0 times and came in under 8 points 9 times. In the 9 games decided by 8 points or fewer he averaged 7.8; in the 6 decided by more, 5.8. He scored more when the game was live.

Earned against scored

His usage that season was worth 5.2 points per game. He scored 7, 33.6% above it. The engine classified the season as very_lucky. On receiving touchdowns specifically he finished 4 against 2.37 expected, a gap of 1.6.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1NYG28-69.1112114.3%47%
2SF23-1714.43454116.7%93%
3HOU34-712.43431116%86%
4GB31-294.1123107.4%21%
7DET29-3111.64576019.2%73%
8LA20-303.62416017.4%42%
9IND21-137.711713%27%
10JAX12-71.4131108.1%50%
11TEN23-13002006.7%44%
12CHI30-277.512516.3%39%
13ARI23-222.8121806.7%58%
15CHI30-121.511502.7%53%
16SEA27-241.512505.7%53%
17GB27-2519.15581112.2%53%
18DET9-318.33453010.5%49%

Production

Receptions28
Targets42
Receiving yards414
Carries3
Rushing yards-4
Touchdowns6
Points per game7
Yards per target9.86
Catch rate66.67%
Yards per carry-1.33

Role

Snap share52.53%
Target share9.53%
Air-yards share13.35%
WOPR0.237
RACR0.729

Efficiency

Average depth of target11.5
Yards after catch per reception3.8
Yards before catch per reception11
Total YAC106
Broken tackles0
Drop rate0.1%
Passer rating when targeted138.3
Receiving EPA per game1.64
Rushing EPA per game-0.2

Scoring position

Red-zone targets7
Red-zone target share7.5%
End-zone target share13.9%
Red-zone carry share2.9%
Goal-line carry share5%
Expected receiving TDs2.37
Actual receiving TDs4
Receiving TD luck1.63
Expected rushing TDs0.46

Who else ate

The offense threw it 548 times. He took 8.22% of the targets. 2 team-mates cleared the competing-target threshold.

Justin Jefferson30.14%
Jordan Addison19.37%
Aaron Jones12.13%
T.J. Hockenson12.13%
Jalen Nailor 8.22%
Josh Oliver5.48%

Blowouts against close games

4 of his 15 games were blowouts, 29.8% of his snaps coming in them. He averaged 7.83 in those and 7.79 in close games — a meaningful share of his scoring came with the game already decided.

2023 · MIN · 3 games

Earned against scored

His usage that season was worth 5.2 points per game. He scored 1.97, 42.7% below it. The engine classified the season as very_unlucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1TB17-20000000%0%
10NO27-192.6111603.1%92%
14LV3-03.32513015.2%24%

Production

Receptions3
Targets6
Receiving yards29
Touchdowns0
Points per game1.97
Yards per target4.83
Catch rate50%

Role

Snap share38.67%
Target share6.1%
Air-yards share6.93%
WOPR0.14
RACR1.86

Efficiency

Average depth of target9
Yards after catch per reception7
Yards before catch per reception2.7
Total YAC21
Broken tackles0
Drop rate0.2%
Passer rating when targeted63.9
Receiving EPA per game-0.67

Who else ate

The offense threw it 631 times. 3 team-mates cleared the competing-target threshold.

T.J. Hockenson21.27%
Jordan Addison18.09%
Justin Jefferson16.75%
K.J. Osborn12.56%
Brandon Powell7.37%
Alexander Mattison7.37%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Joshua Dobbs262.954.839.15%
Kirk Cousins1000%

2022 · MIN · 8 games

His best game was Week 17 against GB — 17.9 PPR on 3 targets and a 8.6% target share, in a game that finished 17-41. His worst was Week 15 against IND at 0, on 1 targets, final score 39-36. Across 8 games he cleared 20 points 0 times and came in under 8 points 6 times. In the 4 games decided by 8 points or fewer he averaged 0.6; in the 4 decided by more, 7.7. He scored more when the game was not close.

Earned against scored

His usage that season was worth 4.4 points per game. He scored 4.11, 48.2% above it. The engine classified the season as very_lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
4NO28-252.3111302.9%1%
10BUF33-30000000%0%
11DAL3-402.51315010.7%21%
12NE33-26000000%0%
14DET23-34000000%0%
15IND39-36001001.9%1%
17GB17-4117.9338918.6%16%
18CHI29-1310.24562015.6%46%

Production

Receptions9
Targets13
Receiving yards179
Touchdowns1
Points per game4.11
Yards per target13.77
Catch rate69.23%

Role

Snap share10.63%
Target share4.96%
Air-yards share6.69%
WOPR0.12
RACR0.561

Efficiency

Average depth of target11.6
Yards after catch per reception7.4
Yards before catch per reception12.4
Total YAC67
Broken tackles1
Drop rate0%
Passer rating when targeted105.4
Receiving EPA per game0.96

Scoring position

Red-zone targets1
Red-zone target share0.9%
End-zone target share0%
Expected receiving TDs0.13
Actual receiving TDs0
Receiving TD luck-0.13

Who else ate

The offense threw it 670 times. 2 team-mates cleared the competing-target threshold.

Justin Jefferson29.25%
Adam Thielen17.01%
K.J. Osborn14.31%
T.J. Hockenson13.67%
Dalvin Cook8.9%
Irv Smith5.72%

Blowouts against close games

2 of his 8 games were blowouts, 62% of his snaps coming in them. He averaged 10.2 in those and 0.57 in close games — a meaningful share of his scoring came with the game already decided.

Ask the Coach about Jalen Nailor →
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