WR · NYG · GWTTKB

Darnell Mooney — fantasy football 2026

Every game, every stat category, and what the board says. 5.49 points per game in 2025, an ADP of 211.1, usage worth 8.2.

28 years old · 6 seasons of experience · 2020 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 211.1
Consensus across 2 books, standard deviation 57.2, 80.9 picks between cheapest and priciest. Cheapest on sleeper, priciest on espn.
SLEEPER251.5
ESPN170.6
UNDERDOG209.2
FFA221

Draft-room facts

Goes aroundRound 18, pick 7 in a 12-team draft
Positional rankWR172
Bye week8
ADP standard deviation57.2 picks

What we project for 2026

Our board has him at 96 points, 5.9 per game — 34.1 catches, 455 yards, 2.5 TDs. That is WR6, 212 overall.

The range runs from a floor of 4.8 points per game to a ceiling of 12.4, with the median at 5.9. Boom rate 99%, bust rate 18%. The spread is the actual bet, not the middle number.

He goes at 211.1 on consensus and our board has him 212. 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

New York Giants returns 2 of 6 continuity slots, replacing qb1, te1, hc, oc. Jaxson Dart at quarterback, Jim Harbaugh as head coach, Matt Nagy calling it. The offense projects to 30.3 pass attempts a game at low confidence and 27.7 rushes.

In: Darnell Mooney (wr2), Malachi Fields (wr4), Calvin Austin III (wr5), Isaiah Likely (te1). Out: Jaxon Dart (qb), Russell Wilson (qb), Wan'Dale Robinson (wr2), Gunner Olszewski (wr4), Daniel Bellinger (te2).

His own projected target share for 2026 is 10.4%, with a bear case of 9.3% and a bull case of 12.4% and a full range of 6.8% to 12.8%. That comes from 29 historical comparables, not from a depth chart.

The projected target split across the offense:

Malik Nabers25.9%
Darius Slayton11.2%
Darnell Mooney 10.4%
Malachi Fields8.6%
Theo Johnson8.2%
Cam Skattebo7.5%

Our written view on this offense in 2026

What the offense looks like: NY still reamins a question mark but there is a lot of potential in this offense if Jaxson Dart turns into the franchise QB. He has a strong arm, is mobile, and plays with a certain type of swagger not all QBs play with. Despite what Ravens fans say, bringing Harbaugh & Nagy into NY is a very good thing. A future HOF coach that is putting his reputation on the line for this team to succeed. Harbaugh has mainly focused on the defense so far, which could imply he thinks the offense is in a good spot, but we will have to see.

Key additions: Darnell Mooney WR from ATL, Calvin Austin III WR from Steelers, Drafted WR Malachi Fields 3rd round, signed TE Isaiah Likely in free agency, New Coach Jim Harbaugh & new OC Matt Nagy.

Key departures: Russell Wilson left to free agency. Won'Dale Robinson left in free agency to the Tennessee Titans (opens up significant amount of targets)

Notes: Giants fired Daboll & brought in Harbaugh. Harbaugh should revamp offense. Brought it Isaiah Likely from Baltimore who seriously hurts Theo Johnson dynasty value (likely should be good). NY did not draft RB & Skattebo will be the starter week 1 of 2026 unless they add someone. He could have a monster season with his Jaxson Dart connection growing. Jaxson Dart gets to play with Malik Nabers for the first time & connection should be electric. Darnell Mooney is a great signing & is on a 1 year prove it deal in NY. If Dart play continues, Mooney will have value.

How the volume number was reached: New QB Jaxson Dart, avg 24.2 att/g over 2025; Regressed 65% toward league mean 33.5, floored at 30 → 30.2 att/g; New OC Matt Nagy — pass rate and tempo may shift; New HC Jim Harbaugh.

How that share projection was built

29 historical comps for WRs age ~27, prior share 17.4%, team change, OC change, QB change. Distribution: median 10.8%, p25-p75 [8.2%, 14.8%], tails [2.8%, 15.7%]. Closest comps: Allen Robinson 2022→2023 (LA→PIT: 18.7%→10.8%); Robbie Chosen 2022→2023 (CAR→MIA: 16.1%→3.5%); D.J. Chark 2022→2023 (DET→CAR: 15.8%→14.8%). Adjustment: -3% from mixed_decline (conflicting signals)

arrival self-anchored 41% to own 17.4% role (3yr)

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: NYG rates 21.8 against a league average of 23, 1.1 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+4.4 · easier
Weeks 1–6+8.3 · easier
Weeks 12–17+5.7 · easier
Fantasy playoffs (15–17)+7.9 · 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
20232D.J. Moore+4.3

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 -30.1% 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
Gabe Davis20245.472%-18.4%
Allen Lazard202410.565%-21.1%
Darius Slayton20238.965%+23.8%
K.J. Osborn2023860%-28.8%
Josh Reynolds20238.158%-23.8%

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

02,0004,000202120222023202420252026
Monthly superflex value, 2020-06 to 2026-07. From 0 to 1,993, peaking at 4,292.

The player

Draft capital and athletic profile

Drafted2020, round 5, pick 173 by CHI
CollegeTulane
Age at draft22
Height5′10″
Weight176 lb
40-yard dash4.38s
Vertical37″
Broad jump124″

Availability and volatility

Career PPR per game9.9
Week-to-week variation0.7
Boom rate22.5%
Bust rate19.7%
Games missed per season0.5
Injury historyConcussion, Hamstring
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 · ATL · 15 games

His best game was Week 12 against NO — 16.4 PPR on 3 targets and a 15% target share, in a game that finished 24-10. His worst was Week 14 against SEA at 1.6, on 4 targets, final score 9-37. Across 15 games he cleared 20 points 0 times and came in under 8 points 12 times. In the 9 games decided by 8 points or fewer he averaged 4.4; in the 6 decided by more, 7.1. He scored more when the game was not close.

Earned against scored

His usage that season was worth 8.2 points per game. He scored 5.49, 33% below it. The engine classified the season as very_unlucky. On receiving touchdowns specifically he finished 0 against 1.83 expected, a gap of -1.8.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
2MIN22-642420019%86%
3CAR0-308.441144026.8%89%
4WAS34-272.5111503.8%45%
7SF10-209.83568013.9%83%
8MIA10-342.11411013.3%90%
9NE23-242.5121505.9%100%
10IND25-312.71817032%90%
11CAR27-306.43734024.1%92%
12NO24-1016.43374115%66%
13NYJ24-274.52525016.1%96%
14SEA9-371.6146014.3%77%
15TB29-286.53635014.6%92%
16ARI26-194.4222405.9%70%
17LA27-245.52335015%70%
18NO19-1753720023.3%83%

Production

Receptions32
Targets72
Receiving yards443
Touchdowns1
Points per game5.49
Yards per target6.15
Catch rate44.44%

Role

Snap share81.93%
Target share16.2%
Air-yards share27.97%
WOPR0.44
RACR0.559

Efficiency

Average depth of target13.9
Yards after catch per reception2.3
Yards before catch per reception11.6
Total YAC73
Broken tackles1
Drop rate0.1%
Passer rating when targeted69.4
Receiving EPA per game0.25

Scoring position

Red-zone targets8
Red-zone target share13.1%
End-zone target share17.4%
Expected receiving TDs1.83
Actual receiving TDs0
Receiving TD luck-1.83

Who else ate

The offense threw it 545 times. He took 13.9% of the targets. 3 team-mates cleared the competing-target threshold.

Kyle Pitts22.78%
Drake London21.62%
Bijan Robinson19.88%
Darnell Mooney 13.9%
David Sills6.95%
Tyler Allgeier3.09%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Kirk Cousins8345.756.7614.69%
Michael Penix7385.195.6117.93%

Blowouts against close games

3 of his 15 games were blowouts, 14.7% of his snaps coming in them. He averaged 4.03 in those and 4.44 in close games — his scoring did not depend on garbage time.

2024 · ATL · 16 games

His best game was Week 5 against TB — 31.5 PPR on 16 targets and a 29.6% target share, in a game that finished 36-30. His worst was Week 15 against LV at 0, on 1 targets, final score 15-9. Across 16 games he cleared 20 points 2 times and came in under 8 points 6 times. In the 11 games decided by 8 points or fewer he averaged 12.6; in the 5 decided by more, 10.9. He scored more when the game was live.

Earned against scored

His usage that season was worth 11.7 points per game. He scored 12.07, 2.9% above it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1PIT10-182.51315013%95%
2PHI22-2117.83788124.1%100%
3KC17-2214.68866029.6%93%
4NO26-248.63656017.6%96%
5TB36-3031.5916105229.6%98%
6CAR38-206.83538017.2%96%
7SEA14-349.65846022.2%88%
8TB31-2618.64686121.4%94%
9DAL27-2119.85988137.5%100%
10NO17-2014.65996024.3%99%
11DEN6-384.72427013.8%58%
13LAC13-1753620015.8%94%
14MIN21-4220.267142018.9%95%
15LV15-9001006.3%91%
16NYG34-713.25682023.1%90%
17WAS24-305.72537014.3%97%

Production

Receptions64
Targets106
Receiving yards992
Touchdowns5
Points per game12.07
Yards per target9.36
Catch rate60.38%

Role

Snap share92.75%
Target share20.54%
Air-yards share32.73%
WOPR0.538
RACR0.89

Efficiency

Average depth of target12.2
Yards after catch per reception4.3
Yards before catch per reception11.2
Total YAC275
Broken tackles6
Drop rate0.1%
Passer rating when targeted99.3
Receiving EPA per game2.75

Scoring position

Red-zone targets6
Red-zone target share9.8%
End-zone target share3.6%
Expected receiving TDs1.53
Actual receiving TDs1
Receiving TD luck-0.53

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game33 of 51
Yards per target10 of 51
Target share39 of 51
Air-yards share18 of 51

Who else ate

The offense threw it 559 times. He took 19.67% of the targets. 2 team-mates cleared the competing-target threshold.

Drake London29.31%
Darnell Mooney 19.67%
Ray-Ray McCloud16.14%
Kyle Pitts13.73%
Bijan Robinson13.36%
Tyler Allgeier2.41%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Kirk Cousins149512.459.1920.81%
Michael Penix2119.4510.8218.7%

Blowouts against close games

5 of his 16 games were blowouts, 28.2% of his snaps coming in them. He averaged 10.9 in those and 12.61 in close games — his scoring did not depend on garbage time.

2023 · CHI · 14 games

His best game was Week 1 against GB — 15.3 PPR on 7 targets and a 19.4% target share, in a game that finished 20-38. His worst was Week 5 against WAS at 0, on 4 targets, final score 40-20. Across 14 games he cleared 20 points 0 times and came in under 8 points 11 times. In the 7 games decided by 8 points or fewer he averaged 6; in the 7 decided by more, 5.3. He scored more when the game was live.

Earned against scored

His usage that season was worth 7.5 points per game. He scored 5.64, 24.7% below it. The engine classified the season as unlucky. On receiving touchdowns specifically he finished 1 against 2.36 expected, a gap of -1.4.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1GB20-3815.34753119.4%84%
3KC10-41001005%71%
4DEN28-319.14451012.5%75%
5WAS40-200040016%78%
6MIN13-196.82348012.5%79%
7LV30-127.44532017.2%68%
8LAC13-305.41441010.8%85%
9NO17-2413.25682023.1%87%
10CAR16-133.42414012.5%67%
11DET26-313.4112404.5%60%
12MIN12-102.623609.4%81%
14DET28-136.42744023.3%90%
15CLE17-203.42814022.9%86%
16ARI27-162.5245017.4%81%

Production

Receptions31
Targets61
Receiving yards414
Carries2
Rushing yards5
Touchdowns1
Points per game5.64
Yards per target6.79
Catch rate50.82%
Yards per carry2.5

Role

Snap share78%
Target share14.75%
Air-yards share23.11%
WOPR0.383
RACR1.036

Efficiency

Average depth of target10.3
Yards after catch per reception5.8
Yards before catch per reception7.5
Total YAC181
Broken tackles1
Drop rate0%
Passer rating when targeted57.7
Receiving EPA per game-0.34
Rushing EPA per game-0.05

Scoring position

Red-zone targets8
Red-zone target share13.3%
End-zone target share20.7%
Red-zone carry share1.4%
Expected receiving TDs2.36
Actual receiving TDs1
Receiving TD luck-1.36
Expected rushing TDs0.05

Who else ate

The offense threw it 513 times. He took 12.95% of the targets. 2 team-mates cleared the competing-target threshold.

D.J. Moore28.87%
Cole Kmet19.11%
Darnell Mooney 12.95%
Roschon Johnson8.49%
Tyler Scott6.79%
Khalil Herbert6.58%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Justin Fields9394.745.0514.49%
Tyson Bagent5227.249.8615.22%

Blowouts against close games

5 of his 14 games were blowouts, 35.6% of his snaps coming in them. He averaged 5.62 in those and 5.99 in close games — his scoring did not depend on garbage time.

2022 · CHI · 11 games

His best game was Week 9 against MIA — 17.5 PPR on 8 targets and a 29.6% target share, in a game that finished 32-35. His worst was Week 2 against GB at 0.6, on 2 targets, final score 10-27. Across 11 games he cleared 20 points 0 times and came in under 8 points 4 times. In the 7 games decided by 8 points or fewer he averaged 11.3; in the 4 decided by more, 5.7. He scored more when the game was live.

Earned against scored

His usage that season was worth 9.5 points per game. He scored 9.23, 2.6% below it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1SF19-101.8138017.6%90%
2GB10-270.612-4018.2%90%
3HOU23-204.32623037.5%94%
4NYG12-2013.44594025%85%
5MIN22-297.22552023.8%94%
6WAS7-1213.871268046.2%92%
7NE33-148.33653028.6%80%
8DAL29-49125570021.7%86%
9MIA32-3517.57843129.6%86%
10DET30-319.74457022.2%87%
11ATL24-2712.94529126.3%81%

Production

Receptions40
Targets61
Receiving yards493
Carries1
Rushing yards2
Touchdowns2
Points per game9.23
Yards per target8.08
Catch rate65.57%
Yards per carry2

Role

Snap share87.73%
Target share26.97%
Air-yards share34.38%
WOPR0.645
RACR0.765

Efficiency

Average depth of target12
Yards after catch per reception4.1
Yards before catch per reception8.2
Total YAC164
Broken tackles2
Drop rate0%
Passer rating when targeted87.7
Receiving EPA per game1.32
Rushing EPA per game-0.06

Scoring position

Red-zone targets7
Red-zone target share16.7%
End-zone target share21.4%
Red-zone carry share1.2%
Expected receiving TDs1.71
Actual receiving TDs2
Receiving TD luck0.29
Expected rushing TDs0.06

Who else ate

The offense threw it 377 times. He took 17.04% of the targets. 1 team-mate cleared the competing-target threshold.

Cole Kmet19.27%
Darnell Mooney 17.04%
Dante Pettis11.45%
David Montgomery11.17%
Equanimeous St. Brown10.61%
Chase Claypool8.1%

Blowouts against close games

3 of his 11 games were blowouts, 20.6% of his snaps coming in them. He averaged 6.97 in those and 11.26 in close games — his scoring did not depend on garbage time.

2021 · CHI · 17 games

His best game was Week 18 against MIN — 24.6 PPR on 16 targets and a 34.8% target share, in a game that finished 17-31. His worst was Week 3 against CLE at 1.9, on 4 targets, final score 6-26. Across 17 games he cleared 20 points 3 times and came in under 8 points 6 times. In the 6 games decided by 8 points or fewer he averaged 16.1; in the 11 decided by more, 11.2. He scored more when the game was live.

Earned against scored

His usage that season was worth 14.3 points per game. He scored 12.92, 9.4% below it. The engine classified the season as neutral.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1LA14-347.65726017.5%100%
2CIN20-1712.66866034.8%89%
3CLE6-261.9149020%98%
4DET24-1418.557125041.2%71%
5LV20-96.53535025%77%
6GB14-2415.55845132%93%
7TB3-385.92539016.1%86%
8SF22-3312.46964033.3%77%
9PIT27-2920.63641220.7%81%
11BAL13-1623.1516121148.5%92%
12DET16-1417.558123021.6%87%
13ARI22-337.75727017.5%95%
14GB30-452.91519015.6%92%
15MIN9-1711.65763019.4%96%
16SEA25-2410.95957025.7%85%
17NYG29-319.971369139.4%85%
18MIN17-3124.61216126034.8%90%

Production

Receptions81
Targets140
Receiving yards1,055
Carries6
Rushing yards32
Touchdowns5
Points per game12.92
Yards per target7.54
Catch rate57.86%
Yards per carry5.33

Role

Snap share87.88%
Target share27.24%
Air-yards share34.33%
WOPR0.65
RACR0.678

Efficiency

Average depth of target11.1
Yards after catch per reception4.7
Yards before catch per reception8.3
Total YAC381
Broken tackles5
Drop rate0.1%
Passer rating when targeted67.4
Receiving EPA per game0.03
Rushing EPA per game0.06

Scoring position

Red-zone targets11
Red-zone target share17.5%
End-zone target share26.9%
Red-zone carry share3.5%
Expected receiving TDs2.99
Actual receiving TDs3
Receiving TD luck0.01
Expected rushing TDs0.24

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game27 of 48
Yards per target34 of 48
Target share8 of 48
Air-yards share12 of 48

Who else ate

The offense threw it 542 times. He took 26.72% of the targets. 1 team-mate cleared the competing-target threshold.

Darnell Mooney 26.72%
Cole Kmet17.75%
Allen Robinson12.6%
David Montgomery9.73%
Marquise Goodwin7.63%
Damiere Byrd7.25%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Justin Fields106410.847.9125.81%
Andy Dalton66716.737.3429.88%
Nick Foles1910.96.3325.7%

Blowouts against close games

4 of his 17 games were blowouts, 16.1% of his snaps coming in them. He averaged 8.82 in those and 16.05 in close games — his scoring did not depend on garbage time.

2020 · CHI · 16 games

His best game was Week 17 against GB — 20.3 PPR on 13 targets and a 31.7% target share, in a game that finished 16-35. His worst was Week 10 against MIN at 2.3, on 2 targets, final score 13-19. Across 16 games he cleared 20 points 1 time and came in under 8 points 6 times. In the 11 games decided by 8 points or fewer he averaged 8.9; in the 5 decided by more, 10.9. He scored more when the game was not close.

Earned against scored

His usage that season was worth 11 points per game. He scored 9.51, 13.9% below it. The engine classified the season as unlucky. On receiving touchdowns specifically he finished 4 against 2.66 expected, a gap of 1.3.

WkOppScorePPRRecTgtYdsTDTgt%Snap%
1DET27-236.8333808.3%32%
2NYG17-1312.63336110.7%60%
3ATL30-263.92519010.2%62%
4IND11-199.95952021.4%74%
5TB20-193.52515011.9%65%
6CAR23-166.63536013.9%67%
7LA10-2473740018.4%81%
8NO23-2617.95669114.6%93%
9TEN17-249.351143023.4%87%
10MIN13-192.322306.9%92%
12GB25-418.43934020.5%85%
13DET30-348.34643018.2%81%
14HOU36-710.7222216.1%75%
15MIN33-2716.54549123.8%83%
16JAX41-178.14739019.4%74%
17GB16-3520.3111393031.7%60%

Production

Receptions61
Targets98
Receiving yards631
Carries4
Rushing yards20
Touchdowns4
Points per game9.51
Yards per target6.44
Catch rate62.24%
Yards per carry5

Role

Snap share73.19%
Target share16.21%
Air-yards share21.71%
WOPR0.396
RACR0.814

Efficiency

Average depth of target11.5
Yards after catch per reception4.2
Yards before catch per reception6.2
Total YAC254
Broken tackles8
Drop rate0%
Passer rating when targeted85.9
Receiving EPA per game0.69
Rushing EPA per game0.01

Scoring position

Red-zone targets10
Red-zone target share10.9%
End-zone target share10.3%
Red-zone carry share1.4%
Expected receiving TDs2.66
Actual receiving TDs4
Receiving TD luck1.34
Expected rushing TDs0.05

Where that ranked

Against everyone in the 80+ targets pool that season:

Points per game48 of 51
Yards per target49 of 51
Target share48 of 51
Air-yards share42 of 51

Who else ate

The offense threw it 614 times. He took 16.47% of the targets. 1 team-mate cleared the competing-target threshold.

Allen Robinson25.38%
Darnell Mooney 16.47%
Jimmy Graham12.77%
Anthony Miller12.77%
David Montgomery11.43%
Cole Kmet7.39%

By quarterback

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

QBGamesTargetsPPGY/TTgt%
Mitchell Trubisky84811.467.3817.34%
Nick Foles8507.555.5415.09%

Blowouts against close games

3 of his 16 games were blowouts, 25.7% of his snaps coming in them. He averaged 13.03 in those and 8.87 in close games — a meaningful share of his scoring came with the game already decided.

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