WR · PIT · GWTTKB

DK Metcalf — fantasy football 2026

Every game, every stat category, and what the board says. 12.48 points per game in 2025, an ADP of 83.6, usage worth 11.1.

28 years old · 7 seasons of experience · 2019 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 83.6
Consensus across 4 books, standard deviation 7.7, 16 picks between cheapest and priciest. Cheapest on cbs, priciest on sleeper.
SLEEPER72.1
ESPN88
YAHOO86
UNDERDOG75.6
CBS88.1
FFA85

Draft-room facts

Goes aroundRound 7, pick 12 in a 12-team draft
Positional rankWR32
Bye week9
ADP standard deviation7.7 picks

What we project for 2026

Our board has him at 171.5 points, 10.5 per game — 57.3 catches, 818 yards, 5.4 TDs. That is WR4, 85 overall.

The range runs from a floor of 8.7 points per game to a ceiling of 14.7, with the median at 10.5. Boom rate 40%, bust rate 17%. The spread is the actual bet, not the middle number.

He goes at 83.6 on consensus and our board has him 85. 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

nearly the same read as Sutton — a real, talented player without a realistic target-share ceiling in this specific situation (a 43-year-old Aaron Rodgers who, at this point in his career, can no longer push the ball downfield, which specifically undercuts what Metcalf does best).

watch · medium conviction · 2026-08

The offense he plays in, 2026

Pittsburgh Steelers returns 4 of 6 continuity slots, replacing hc, oc. Aaron Rodgers at quarterback, Mike McCarthy as head coach, Brian Angelichio calling it. The offense projects to 33 pass attempts a game at medium confidence and 25.3 rushes.

In: Drew Allar (qb2), Michael Pittman Jr. (wr2), Germie Bernard (wr3), Kaden Wejen (wr6), A.T. Perry (wr7), Rico Dowdle (rb2), Eli Heidenreich (rb4). Out: Calvin Austin III (wr2), Adam Thielen (wr4), Kenneth Gainwell (rb2), Jonnu Smith (te2).

His own projected target share for 2026 is 21%, with a bear case of 18.8% and a bull case of 21.9% and a full range of 16.9% to 22.2%. That comes from 29 historical comparables, not from a depth chart.

The projected target split across the offense:

DK Metcalf 21%
Michael Pittman Jr.13.9%
Germie Bernard13.6%
Pat Freiermuth13.1%
Jaylen Warren10.4%
Rico Dowdle7.1%

Our written view on this offense in 2026

Key additions: Traded for and Signed Michael Pittman Jr to 3 year $59M deal. Signed RB Rico Dowdle to 2/$12M deal in free agency. Drafted WR Germie Bernard in 2nd round, Drafted OT Max Iheanachor in 1st roud to beef up line. Drafted QB Drew Allar in the 3rd round. Drafted G Gennings Dunker 3rd roud (depth). Bringin in HC Mike McCarthy & Brian Angelichio as OC.

Key departures: RB Kenneth Gainwell left in free agency to Bucs. LG Isaac Seumalo left for Cardinals. WR Calvin Austin III left in free agency for Giants. HC Mike Tomlin & OC Arthur Smith (Ass) are both gone.

Notes: Drafted Bernard round 2 Steelers traded up. Steelers traded for Michael Pittman Jr. who is aging but will elevate the passing game. DK Metcalf looks to get back on track in 2026 & establish himself as WR1. Crowded WR room. Steelers drafted WR Riley Nowakowski in the 4th round & he will likely operate as WR5 or return specialist. Signed Rico Dowdle to 2 year deal in free agency. Warren is slotted to be 1A and Dowdle 1B, but any injury to either back makes the other a home run hit in fantasy for 2026. Aaron Rodgers SHOULD return to Steelers, but also drafted Drew Allar (bad QB but good prospect who should be rostered because he can progress. Zero floor on Allar but the ceiling is very high if he gets better.)

How the volume number was reached: Same QB Aaron Rodgers returning — anchor to 2025 actuals (32.4 att/g); Regressed 53% toward league mean 33.5, floored at 30 → 33 att/g; New OC Brian Angelichio — pass rate and tempo may shift; New HC Mike McCarthy.

How that share projection was built

29 historical comps for WRs age ~28, prior share 21.7%, same team, OC change. Distribution: median 23.1%, p25-p75 [18.3%, 26.1%], tails [13.4%, 26.9%]. Closest comps: Tee Higgins 2023→2024 (CIN: 19.6%→26.1%); George Pickens 2023→2024 (PIT: 21.1%→26.2%); DeVonta Smith 2021→2022 (PHI: 22.9%→26.8%). Adjustment: +3% from real_breakout (sustainable)

self-anchored 58% to own 21.7% role (3yr), 42% to comp median 23.1%

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: PIT rates 21.3 against a league average of 23, 1.6 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-1.9 · harder
Weeks 1–6+2.2 · easier
Weeks 12–17-1.8 · harder
Fantasy playoffs (15–17)+3.7 · 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
20242Jaxon Smith-Njigba+11.4
Read the full DK Metcalf 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 -25.4% 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
Terry McLaurin202415.861%-16.4%
Michael Pittman202410.458%+14.8%
Terry McLaurin20231257%+39.7%
Chris Godwin202312.354%+22.9%
Diontae Johnson20248.154%-53.6%

Of the 5 with a following season on record, 3 gained value, 2 lost it and 0 held roughly flat.

Four years of dynasty value

02,0004,0006,0008,00010,000202120222023202420252026
Monthly superflex value, 2020-04 to 2026-07. Down 41% across the series, peaking at 9,279.

The player

Draft capital and athletic profile

Drafted2019, round 2, pick 64 by SEA
CollegeMississippi
Age at draft21
Height6′3″
Weight228 lb
40-yard dash4.33s
Vertical40.5″
Broad jump134″
3-cone7.38s
Shuttle4.5s

Availability and volatility

Career PPR per game13.7
Week-to-week variation0.6
Boom rate20.5%
Bust rate23.1%
Games missed per season0.3
Injury historyKnee
Correlation between his posted line and his actual score0.66

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 · PIT · 15 games

His best game was Week 4 against MIN — 23.6 PPR on 5 targets and a 22.7% target share, in a game that finished 24-21. His worst was Week 9 against IND at 2.6, on 4 targets, final score 27-20. Across 15 games he cleared 20 points 2 times and came in under 8 points 3 times. In the 8 games decided by 8 points or fewer he averaged 12.9; in the 7 decided by more, 12. He scored more when the game was live.

Earned against scored

His usage that season was worth 11.1 points per game. He scored 12.48, 8.9% above it. The engine classified the season as neutral. On receiving touchdowns specifically he finished 3 against 4.22 expected, a gap of -1.2.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1NYJ34-3212.34783024.1%95%
2SEA17-31113620119.4%90%
3NE21-1412.23432118.2%89%
4MIN24-2123.655126122.7%79%
6CLE23-919.54995131%83%
7CIN31-3383550015.2%98%
8GB25-3516.55755121.9%94%
9IND27-202.6246011.4%82%
10LAC10-256.53735025%92%
11CIN34-129.95849027.6%86%
12CHI28-3114.45822125.8%85%
13BUF7-266.23532022.7%86%
14BAL27-2221.8712148036.4%83%
15MIA28-1514.53355111.1%79%
16DET29-248.24942023.7%88%

Production

Receptions59
Targets99
Receiving yards850
Carries2
Rushing yards12
Touchdowns7
Points per game12.48
Yards per target8.59
Catch rate59.6%
Yards per carry6

Role

Snap share87.27%
Target share22.41%
Air-yards share37.17%
WOPR0.596
RACR1.099

Efficiency

Average depth of target10.5
Yards after catch per reception7
Yards before catch per reception7.4
Total YAC414
Broken tackles8
Drop rate0.1%
Passer rating when targeted90.9
Receiving EPA per game2.2
Rushing EPA per game0.11

Scoring position

Red-zone targets13
Red-zone target share16.9%
End-zone target share28.6%
Red-zone carry share1.2%
Expected receiving TDs4.22
Actual receiving TDs3
Receiving TD luck-1.22
Expected rushing TDs0.14

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game20 of 44
Yards per target15 of 44
Target share22 of 44
Air-yards share10 of 44

Who else ate

The offense threw it 550 times. He took 19.04% of the targets. 1 team-mate cleared the competing-target threshold.

DK Metcalf 19.04%
Kenneth Gainwell16.35%
Calvin Austin III10.58%
Jonnu Smith10.38%
Pat Freiermuth10.38%
Jaylen Warren8.65%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Aaron Rodgers138312.539.3921.75%
Mason Rudolph21612.154.4426.7%

Blowouts against close games

2 of his 15 games were blowouts, 8.6% of his snaps coming in them. He averaged 8.05 in those and 12.89 in close games — his scoring did not depend on garbage time.

2024 · SEA · 15 games

His best game was Week 2 against NE — 28.9 PPR on 14 targets and a 32.6% target share, in a game that finished 23-20. His worst was Week 15 against GB at 5.8, on 3 targets, final score 13-30. Across 15 games he cleared 20 points 2 times and came in under 8 points 5 times. In the 7 games decided by 8 points or fewer he averaged 13.7; in the 8 decided by more, 12. He scored more when the game was live.

Earned against scored

His usage that season was worth 12.8 points per game. He scored 12.75, 0.1% below it. The engine classified the season as neutral. On receiving touchdowns specifically he finished 1 against 2.81 expected, a gap of -1.8.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DEN26-205.93429016%88%
2NE23-2028.91014129132.6%87%
3MIA24-320.446104118.2%83%
4DET29-4215.4712104022.6%82%
5NYG20-297.54755017.9%100%
6SF24-367.831148022.9%90%
7ATL34-1419.94799125%78%
11SF20-17147970029%90%
12ARI16-69.94559017.9%78%
13NYJ26-2110.64966031%75%
14ARI30-188.94649020.7%80%
15GB13-305.8332809.7%93%
16MIN24-2714.73757116.7%89%
17CHI6-37.23342013.6%88%
18LA30-2514.33553118.5%89%

Production

Receptions66
Targets108
Receiving yards992
Touchdowns5
Points per game12.75
Yards per target9.19
Catch rate61.11%

Role

Snap share86%
Target share20.82%
Air-yards share40.56%
WOPR0.597
RACR0.735

Efficiency

Average depth of target13.1
Yards after catch per reception4
Yards before catch per reception11
Total YAC263
Broken tackles3
Drop rate0%
Passer rating when targeted99
Receiving EPA per game1.54

Scoring position

Red-zone targets9
Red-zone target share15%
End-zone target share23.3%
Expected receiving TDs2.81
Actual receiving TDs1
Receiving TD luck-1.81

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game29 of 51
Yards per target12 of 51
Target share37 of 51
Air-yards share7 of 51

Who else ate

The offense threw it 593 times. He took 18.98% of the targets. 1 team-mate cleared the competing-target threshold.

Jaxon Smith-Njigba24.08%
DK Metcalf 18.98%
Tyler Lockett13.01%
Noah Fant11.25%
Kenneth Walker9.31%
Zach Charbonnet9.14%

Blowouts against close games

3 of his 15 games were blowouts, 24.1% of his snaps coming in them. He averaged 15.37 in those and 13.66 in close games — a meaningful share of his scoring came with the game already decided.

2023 · SEA · 16 games

His best game was Week 13 against DAL — 37.4 PPR on 8 targets and a 21.1% target share, in a game that finished 35-41. His worst was Week 18 against ARI at 2, on 6 targets, final score 21-20. 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 15.7; in the 6 decided by more, 11.5. He scored more when the game was live.

Earned against scored

His usage that season was worth 12.8 points per game. He scored 14.09, 10.2% above it. The engine classified the season as lucky.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1LA13-3013.73547120.8%94%
2DET37-3113.56675016.2%83%
3CAR37-2717.268112022.9%72%
4NYG24-312.43434115.4%71%
6CIN13-1710.94969024.3%78%
8CLE24-2011.751467038.9%78%
9BAL3-3761450016%86%
10WAS29-2616.871298028.6%89%
11LA16-1720.45994123.7%71%
12SF13-316.23932033.3%86%
13DAL35-4137.468134321.1%90%
14SF16-2813.22552116.1%90%
15PHI20-1712.85678018.8%92%
16TEN20-1715.64656116.7%89%
17PIT23-3015.658106024.2%96%
18ARI21-2021610023.1%84%

Production

Receptions66
Targets119
Receiving yards1,114
Touchdowns8
Points per game14.09
Yards per target9.36
Catch rate55.46%

Role

Snap share84.31%
Target share22.51%
Air-yards share38.76%
WOPR0.609
RACR0.801

Efficiency

Average depth of target12.8
Yards after catch per reception5.6
Yards before catch per reception11.3
Total YAC367
Broken tackles7
Drop rate0.1%
Passer rating when targeted95.7
Receiving EPA per game2.67

Scoring position

Red-zone targets23
Red-zone target share34.8%
End-zone target share44.4%
Expected receiving TDs5.17
Actual receiving TDs6
Receiving TD luck0.83

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game21 of 51
Yards per target12 of 51
Target share31 of 51
Air-yards share13 of 51

Who else ate

The offense threw it 575 times. He took 21.79% of the targets. 2 team-mates cleared the competing-target threshold.

Tyler Lockett22.34%
DK Metcalf 21.79%
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 Smith1410814.249.1123.23%
Drew Lock2111311.8217.45%

Blowouts against close games

4 of his 16 games were blowouts, 17% of his snaps coming in them. He averaged 9.58 in those and 15.67 in close games — his scoring did not depend on garbage time.

2022 · SEA · 17 games

His best game was Week 13 against LA — 26.7 PPR on 8 targets and a 21.6% target share, in a game that finished 27-23. His worst was Week 17 against NYJ at 1.3, on 5 targets, final score 23-6. Across 17 games he cleared 20 points 3 times and came in under 8 points 5 times. In the 10 games decided by 8 points or fewer he averaged 16.3; in the 7 decided by more, 9.1. He scored more when the game was live.

Earned against scored

His usage that season was worth 14.6 points per game. He scored 13.34, 0.3% below it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DEN17-168.67736025.9%82%
2SF7-277.54635020%92%
3ATL23-2717.451264127.3%93%
4DET48-4521.9710149034.5%76%
5NO32-3917.85888133.3%96%
6ARI19-95.42734023.3%81%
7LAC37-232.2121207.7%28%
8NYG27-1317.561055130.3%63%
9ARI31-2114.75637118.8%81%
10TB16-2113.16971027.3%90%
12LV34-4020111590040.5%91%
13LA27-2326.788127121.6%87%
14CAR24-3018.151071127.8%91%
15SF13-2112.57955022%95%
16KC10-2415.17981023.7%91%
17NYJ23-61.3153017.9%82%
18LA19-1673840028.6%83%

Production

Receptions90
Targets141
Receiving yards1,048
Touchdowns6
Points per game13.34
Yards per target7.43
Catch rate63.83%

Role

Snap share82.47%
Target share25.32%
Air-yards share35.26%
WOPR0.626
RACR0.714

Efficiency

Average depth of target11.2
Yards after catch per reception2.4
Yards before catch per reception9.2
Total YAC217
Broken tackles1
Drop rate0.1%
Passer rating when targeted88.6
Receiving EPA per game0.41

Scoring position

Red-zone targets30
Red-zone target share38.5%
End-zone target share55.8%
Expected receiving TDs6.34
Actual receiving TDs6
Receiving TD luck-0.34

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game25 of 51
Yards per target36 of 51
Target share19 of 51
Air-yards share14 of 51

Who else ate

The offense threw it 573 times. He took 25.5% of the targets. 1 team-mate cleared the competing-target threshold.

DK Metcalf 25.5%
Tyler Lockett21.16%
Noah Fant11.39%
Marquise Goodwin7.59%
Will Dissly6.87%
Kenneth Walker6.33%

Blowouts against close games

2 of his 17 games were blowouts, 3.9% of his snaps coming in them. He averaged 4.4 in those and 16.31 in close games — his scoring did not depend on garbage time.

2021 · SEA · 17 games

His best game was Week 17 against DET — 30.9 PPR on 9 targets and a 32.1% target share, in a game that finished 51-29. His worst was Week 12 against WAS at 2.3, on 4 targets, final score 15-17. Across 17 games he cleared 20 points 4 times and came in under 8 points 3 times. In the 8 games decided by 8 points or fewer he averaged 11.7; in the 9 decided by more, 16.8. He scored more when the game was not close.

Earned against scored

His usage that season was worth 13.1 points per game. He scored 14.37, 9.3% above it. The engine classified the season as neutral. On receiving touchdowns specifically he finished 9 against 3.94 expected, a gap of 5.1.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1IND28-16164560123.8%93%
2TEN30-3311.361153035.5%94%
3MIN17-3022.769107132.1%89%
4SF28-2116.54865136.4%82%
5LA17-2626.85598215.6%74%
6PIT20-2311.86758022.6%75%
7NO10-1317.62596126.3%82%
8JAX31-722.36643227.3%72%
10GB0-175.63826021.1%74%
11ARI13-237.14831032%92%
12WAS15-172.31413012.9%94%
13SF30-23115860021.6%89%
14HOU33-138.34843028.6%74%
15LA10-2011.261252042.9%93%
16CHI24-2512.12541118.5%88%
17DET51-2930.96963332.1%67%
18ARI38-3010.851158042.3%88%

Production

Receptions75
Targets129
Receiving yards967
Carries1
Rushing yards6
Touchdowns12
Points per game14.37
Yards per target7.5
Catch rate58.14%
Yards per carry6

Role

Snap share83.53%
Target share27.74%
Air-yards share36.86%
WOPR0.674
RACR0.696

Efficiency

Average depth of target12.7
Yards after catch per reception4.4
Yards before catch per reception8.5
Total YAC328
Broken tackles8
Drop rate0%
Passer rating when targeted106.3
Receiving EPA per game1.69
Rushing EPA per game0.01

Scoring position

Red-zone targets20
Red-zone target share35.1%
End-zone target share37%
Expected receiving TDs3.94
Actual receiving TDs9
Receiving TD luck5.06

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game20 of 48
Yards per target35 of 48
Target share6 of 48
Air-yards share6 of 48

Who else ate

The offense threw it 495 times. He took 27.27% of the targets. 1 team-mate cleared the competing-target threshold.

DK Metcalf 27.27%
Tyler Lockett22.62%
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 Wilson1310612.756.3429.22%
Geno Smith42319.6312.8322.95%

Blowouts against close games

4 of his 17 games were blowouts, 27.5% of his snaps coming in them. He averaged 16.77 in those and 11.67 in close games — a meaningful share of his scoring came with the game already decided.

2020 · SEA · 16 games

His best game was Week 8 against SF — 40.1 PPR on 15 targets and a 41.7% target share, in a game that finished 37-27. His worst was Week 7 against ARI at 4.3, on 5 targets, final score 34-37. Across 16 games he cleared 20 points 4 times and came in under 8 points 3 times. In the 11 games decided by 8 points or fewer he averaged 14.4; in the 5 decided by more, 22.7. He scored more when the game was not close.

Earned against scored

His usage that season was worth 14.8 points per game. He scored 16.96, 18.8% above it. The engine classified the season as lucky. On receiving touchdowns specifically he finished 6 against 4.88 expected, a gap of 1.1.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1ATL38-2519.54895122.9%98%
2NE35-3019.24692124%100%
3DAL38-311948110121.1%96%
4MIA31-2314.646106018.2%87%
5MIN27-2627.361193236.7%96%
7ARI34-374.32523010.4%96%
8SF37-2740.11215161241.7%96%
9BUF34-4423.879108122.5%100%
10LA16-234.82428011.4%96%
11ARI28-2113.63546118.5%92%
12PHI23-1727.71013177043.3%82%
13NYG12-17135880019.5%97%
14NYJ40-318.16861125%63%
15WAS20-159.35643023.1%89%
16LA20-911.96859027.6%97%
17SF26-235.13921028.1%88%

Production

Receptions83
Targets129
Receiving yards1,303
Touchdowns10
Points per game16.96
Yards per target10.1
Catch rate64.34%

Role

Snap share92.06%
Target share24.63%
Air-yards share37.97%
WOPR0.637
RACR0.753

Efficiency

Average depth of target13.7
Yards after catch per reception4.4
Yards before catch per reception11.3
Total YAC363
Broken tackles8
Drop rate0.1%
Passer rating when targeted110.7
Receiving EPA per game3.71

Scoring position

Red-zone targets17
Red-zone target share20.2%
End-zone target share26.7%
Expected receiving TDs4.88
Actual receiving TDs6
Receiving TD luck1.12

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game9 of 51
Yards per target6 of 51
Target share15 of 51
Air-yards share5 of 51

Who else ate

The offense threw it 563 times. He took 24.07% of the targets. 1 team-mate cleared the competing-target threshold.

Tyler Lockett24.63%
DK Metcalf 24.07%
David Moore8.77%
Chris Carson8.58%
Jacob Hollister7.46%
Greg Olsen6.9%

Blowouts against close games

1 of his 16 games were blowouts, 6.7% of his snaps coming in them. He averaged 18.1 in those and 14.35 in close games — a meaningful share of his scoring came with the game already decided.

Ask the Coach about DK Metcalf →
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