WR · BUF · GWTTKB

Khalil Shakir — fantasy football 2026

Every game, every stat category, and what the board says. 10.4 points per game in 2025, an ADP of 133.4, usage worth 11.

26 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 133.4
Consensus across 4 books, standard deviation 2.9, 6.4 picks between cheapest and priciest. Cheapest on espn, priciest on cbs.
SLEEPER135.2
ESPN136.2
YAHOO132.5
UNDERDOG130.1
CBS129.8
FFA141

Draft-room facts

Goes aroundRound 12, pick 1 in a 12-team draft
Positional rankWR52
Bye week7
ADP standard deviation2.9 picks

What we project for 2026

Our board has him at 140.5 points, 8.6 per game — 57.4 catches, 624 yards, 3.2 TDs. That is WR5, 140 overall.

The range runs from a floor of 5.4 points per game to a ceiling of 13, with the median at 8.6. Boom rate 52%, bust rate 37%. The spread is the actual bet, not the middle number.

He goes at 133.4 on consensus and our board has him 140. We rank him 6.6 picks worse than the room drafts him, so at ADP he is mildly overpriced. That is an objection to the price and not to the player — if he falls past his slot he can be exactly the right pick.

The offense he plays in, 2026

Buffalo Bills returns 3 of 6 continuity slots, replacing wr1, hc, oc. Josh Allen at quarterback, Joe Brady as head coach, Pete Carmichael Jr. calling it. The offense projects to 31.5 pass attempts a game at medium confidence and 29.2 rushes.

In: Kyle Allen (qb2), DJ Moore (wr1), Skyler Bell (wr4), Trent Sherfield (wr7). Out: Curtis Samuel (wr4).

His own projected target share for 2026 is 16.8%, with a bear case of 15.4% and a bull case of 17.4% and a full range of 14.3% to 19.3%. That comes from 25 historical comparables, not from a depth chart.

The projected target split across the offense:

DJ Moore17.1%
Khalil Shakir 16.8%
Dalton Kincaid14.4%
Keon Coleman11.7%
James Cook9.4%
Dawson Knox7.4%

Our written view on this offense in 2026

What the offense looks like: This is a high powered offense centered around Josh Allen & James Cook. Over the past few years, the Bills have struggled to surround Allen with the weapons he needs in the passsing game. Kincaid HAS NOT made the leap or returned his 1st round draft capital despite what people say. The move to get DJ Moore was very intentional & GM Brandon Beane believes Moore is a locked in WR1 for Buffalo. Shakir is going to be a strong contributor but the DJ Moore trade likely hurts his value.

Key additions: Bills traded a 2nd round pick for to Bears for WR DJ Moore & extended on 4 year deal. C Lloyd Cushenberry 1 year deal. G/C Austin Corbett from Panthers (starter). WR Trent Sherfield from Minnesota (depth).

Key departures: David Edwards (starting LG), WR Curtis Samuel was released. Back up QB Mitch Trubisky signed with the Titans.

Notes: The Bills fired Sean McDermott following their loss to Denver in the playoffs in 2025. Joe Brady (standout OC) was promoted to HCThe Keon Coleman breakout may not ever happen. Bills traded for DJ Moore from Bears & under contract for 4 years. Large opportunity to emerge as main pass catcher in offense. Shakir reliable but no true ceiling yet. Allen 30 but still elite. Bills draft Skyler Bell WR from UConn 6 foor 192 LB 4.40 second 40 yard dash. Large opportunity for Bell in long run. Kincaid health remains a question. Opted to not get PCL surgery AGAIN & new HC Joe Brady says they will manage pain throughout 2026. James Cook will continue to produce as a top 10 PPR fantasy back IF he stays healthy. Very underrated runner.

How the volume number was reached: Same QB Josh Allen returning — anchor to 2025 actuals (29.1 att/g); Regressed 53% toward league mean 33.5, floored at 30 → 31.5 att/g; New OC Pete Carmichael Jr. — pass rate and tempo may shift; New HC Joe Brady.

How that share projection was built

25 historical comps for WRs age ~25, prior share 20.6%, same team, OC change. Distribution: median 17.5%, p25-p75 [13.4%, 18.6%], tails [10.3%, 23.9%]. Closest comps: Hunter Renfrow 2021→2022 (LV: 18.7%→15.1%); Zay Jones 2022→2023 (JAX: 18.7%→17.9%); Tee Higgins 2020→2021 (CIN: 21.8%→23.1%). Adjustment: -3% from mixed_decline (conflicting signals)

self-anchored 58% to own 20.6% role (3yr), 42% to comp median 17.5%

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: BUF rates 26.9 against a league average of 23, 3.9 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-2.3 · harder
Weeks 1–6-4.4 · harder
Weeks 12–17-1.6 · harder
Fantasy playoffs (15–17)+3.2 · 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 Khalil Shakir 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 -17.8% 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
Gabe Davis202211.472%+8.1%
Gabe Davis202310.171%-22%
Kendrick Bourne202312.569%+6.2%
Nick Westbrook-Ikhine20249.766%-27.8%
Robert Woods20226.964%-14.3%

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

02,0004,0002023202420252026
Monthly superflex value, 2022-03 to 2026-07. Up 147% across the series, peaking at 3,999.

The player

Draft capital and athletic profile

Drafted2022, round 5, pick 148 by BUF
CollegeBoise St.
Age at draft22
Height6′0″
Weight196 lb
40-yard dash4.43s
Vertical34.5″
Broad jump124″
3-cone7.28s
Shuttle4.21s

Availability and volatility

Career PPR per game8.7
Week-to-week variation0.7
Boom rate17.8%
Bust rate31.1%
Games missed per season0.3
Injury historyAnkle
Correlation between his posted line and his actual score0.14

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 · BUF · 16 games

His best game was Week 8 against CAR — 20.8 PPR on 7 targets and a 30.4% target share, in a game that finished 40-9. His worst was Week 11 against TB at 0.7, on 3 targets, final score 44-32. Across 16 games he cleared 20 points 1 time and came in under 8 points 5 times. In the 8 games decided by 8 points or fewer he averaged 11.2; in the 8 decided by more, 9.6. He scored more when the game was live.

Earned against scored

His usage that season was worth 11 points per game. He scored 10.4, 1.5% above it. The engine classified the season as neutral. On receiving touchdowns specifically he finished 2 against 3.61 expected, a gap of -1.6.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1BAL41-4012.46964020%71%
2NYJ30-102.2121208%49%
3MIA31-2114.54445114.8%70%
4NO31-1917.95569122.7%53%
5NE20-23116945030%63%
6ATL14-246.33533019.2%60%
8CAR40-920.86788130.4%48%
9KC28-2111.37843032%61%
10MIA13-3012.87958023.1%66%
11TB44-320.713-3010%54%
12HOU19-2317810110031.3%67%
13PIT26-71.5145017.4%49%
14CIN39-349.62316111.1%50%
15NE35-3111.55565019.2%69%
16CLE23-207.44534027.8%48%
17PHI12-139.56735021.2%78%

Production

Receptions72
Targets95
Receiving yards719
Carries1
Rushing yards5
Touchdowns4
Points per game10.4
Yards per target7.57
Catch rate75.79%
Yards per carry5

Role

Snap share59.75%
Target share21.14%
Air-yards share8.63%
WOPR0.377
RACR5.673

Efficiency

Average depth of target3.7
Yards after catch per reception7.5
Yards before catch per reception2.5
Total YAC541
Broken tackles7
Drop rate0%
Passer rating when targeted102
Receiving EPA per game0.47
Rushing EPA per game-0.01

Scoring position

Red-zone targets18
Red-zone target share21.7%
End-zone target share4.2%
Expected receiving TDs3.61
Actual receiving TDs2
Receiving TD luck-1.61

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game36 of 44
Yards per target27 of 44
Target share25 of 44
Air-yards share44 of 44

Who else ate

The offense threw it 495 times. He took 19.83% of the targets. 0 team-mates cleared the competing-target threshold.

Khalil Shakir 19.83%
Keon Coleman12.32%
Dawson Knox10.23%
Dalton Kincaid10.23%
James Cook8.35%
Josh Palmer7.72%

Blowouts against close games

4 of his 16 games were blowouts, 22.4% of his snaps coming in them. He averaged 9.32 in those and 11.21 in close games — his scoring did not depend on garbage time.

2024 · BUF · 15 games

His best game was Week 14 against LA — 21.6 PPR on 8 targets and a 21.6% target share, in a game that finished 42-44. His worst was Week 6 against NYJ at 3.9, on 2 targets, final score 23-20. Across 15 games he cleared 20 points 1 time and came in under 8 points 4 times. In the 6 games decided by 8 points or fewer he averaged 11.6; in the 9 decided by more, 12.5. 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 12.17, 2.5% above it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1ARI34-2813.23342113%53%
2MIA31-1010.65554027.8%69%
3JAX47-1019.26672120%55%
4BAL10-3510.24562018.5%59%
6NYJ23-203.9221908.7%38%
7TEN34-1013.57765021.9%69%
8SEA31-1019.9910107031.3%58%
9MIA30-27116750019.4%53%
10IND30-2011.86958025.7%72%
11KC30-211581270031.6%71%
13SF35-1074730038.9%50%
14LA42-4421.658106121.6%78%
15DET48-4215.96739121.9%59%
16NE24-214.22622022.2%75%
17NYJ40-145.53625022.2%61%

Production

Receptions76
Targets100
Receiving yards821
Carries2
Rushing yards4
Touchdowns4
Points per game12.17
Yards per target8.21
Catch rate76%
Yards per carry2

Role

Snap share61.33%
Target share22.98%
Air-yards share14.79%
WOPR0.448
RACR2.543

Efficiency

Average depth of target5.5
Yards after catch per reception7.9
Yards before catch per reception2.9
Total YAC597
Broken tackles6
Drop rate0%
Passer rating when targeted108.8
Receiving EPA per game2.94
Rushing EPA per game-0.07

Scoring position

Red-zone targets10
Red-zone target share13.9%
End-zone target share3.1%
Expected receiving TDs1.92
Actual receiving TDs2
Receiving TD luck0.08

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game32 of 51
Yards per target26 of 51
Target share31 of 51
Air-yards share48 of 51

Who else ate

The offense threw it 520 times. He took 20.2% of the targets. 1 team-mate cleared the competing-target threshold.

Khalil Shakir 20.2%
Dalton Kincaid15.15%
Keon Coleman11.52%
Mack Hollins10.1%
Curtis Samuel9.29%
James Cook7.68%

Blowouts against close games

7 of his 15 games were blowouts, 47.1% of his snaps coming in them. He averaged 12.27 in those and 11.63 in close games — a meaningful share of his scoring came with the game already decided.

2023 · BUF · 16 games

His best game was Week 11 against NYJ — 20.5 PPR on 4 targets and a 13.8% target share, in a game that finished 32-6. His worst was Week 15 against DAL at 0, on 1 targets, final score 31-10. Across 16 games he cleared 20 points 1 time and came in under 8 points 10 times. In the 11 games decided by 8 points or fewer he averaged 7.5; in the 5 decided by more, 6. He scored more when the game was live.

Earned against scored

His usage that season was worth 5.4 points per game. He scored 7.07, 45.7% above it. The engine classified the season as very_lucky. On receiving touchdowns specifically he finished 3 against 0.96 expected, a gap of 2.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
2LV38-108.1111112.8%15%
3WAS37-31.511503.1%24%
4MIA48-20001004%28%
5JAX20-252.1111102.8%32%
6NYG14-92.3111303.4%39%
7NE25-297.54435010.3%34%
8TB24-1815.26692015.4%65%
9CIN18-249.74457012.5%71%
10DEN22-243.4122408%76%
11NYJ32-620.534115113.8%74%
12PHI34-377.73547010.2%80%
14KC20-172.2111202.8%61%
15DAL31-10001007.7%49%
16LAC24-227.53345014.3%58%
17NE27-218.94439014.3%80%
18MIA21-1416.566105016.2%77%

Production

Receptions39
Targets45
Receiving yards611
Carries1
Rushing yards10
Touchdowns2
Points per game7.07
Yards per target13.58
Catch rate86.67%
Yards per carry10

Role

Snap share53.94%
Target share8.85%
Air-yards share9.44%
WOPR0.198
RACR2.079

Efficiency

Average depth of target8.9
Yards after catch per reception7.2
Yards before catch per reception8.4
Total YAC282
Broken tackles0
Drop rate0%
Passer rating when targeted133.6
Receiving EPA per game2.7
Rushing EPA per game0.03

Scoring position

Red-zone targets5
Red-zone target share6.8%
End-zone target share3.3%
Red-zone carry share0.8%
Expected receiving TDs0.96
Actual receiving TDs3
Receiving TD luck2.04
Expected rushing TDs0.05

Who else ate

The offense threw it 579 times. He took 8.26% of the targets. 2 team-mates cleared the competing-target threshold.

Stefon Diggs29.36%
Dalton Kincaid16.7%
Gabe Davis14.86%
James Cook9.91%
Khalil Shakir 8.26%
Dawson Knox6.61%

Blowouts against close games

5 of his 16 games were blowouts, 26.6% of his snaps coming in them. He averaged 6.02 in those and 7.55 in close games — his scoring did not depend on garbage time.

2022 · BUF · 10 games

His best game was Week 5 against PIT — 16.5 PPR on 5 targets and a 13.9% target share, in a game that finished 38-3. His worst was Week 14 against NYJ at 0, on 1 targets, final score 20-12. Across 10 games he cleared 20 points 0 times and came in under 8 points 9 times. In the 4 games decided by 8 points or fewer he averaged 2.1; in the 6 decided by more, 4.3. He scored more when the game was not close.

Earned against scored

His usage that season was worth 3.8 points per game. He scored 3.41, 4.6% above it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
2TEN41-7002005.1%35%
4BAL23-204.3222305.9%25%
5PIT38-316.53575113.9%70%
6KC24-202.4121405.3%21%
8GB27-17002008%29%
10MIN30-331.612604.9%20%
13NE24-102111003%21%
14NYJ20-12001003.7%20%
16CHI35-133.511504%39%
18NE35-233.8122806.5%25%

Production

Receptions10
Targets20
Receiving yards161
Touchdowns1
Points per game3.41
Yards per target8.05
Catch rate50%

Role

Snap share30.5%
Target share6.03%
Air-yards share5.64%
WOPR0.129
RACR1.637

Efficiency

Average depth of target9.8
Yards after catch per reception8.3
Yards before catch per reception7.8
Total YAC83
Broken tackles1
Drop rate0.1%
Passer rating when targeted94
Receiving EPA per game0.77

Scoring position

Red-zone targets1
Red-zone target share1%
End-zone target share0%
Expected receiving TDs0.13
Actual receiving TDs0
Receiving TD luck-0.13

Who else ate

The offense threw it 574 times. 2 team-mates cleared the competing-target threshold.

Stefon Diggs27.95%
Gabe Davis16.88%
Isaiah McKenzie11.8%
Dawson Knox11.8%
Devin Singletary9.44%
James Cook5.81%

Blowouts against close games

3 of his 10 games were blowouts, 58.7% of his snaps coming in them. He averaged 6.67 in those and 2.07 in close games — a meaningful share of his scoring came with the game already decided.

Ask the Coach about Khalil Shakir →
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