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Week 4 Wide Receiver Rankings & Results — PPR

Jaxon Smith-Njigba is our WR1 for Week 4 in PPR, ahead of Chris Olave and Amon-Ra St. Brown. The biggest riser since the last publish is Jalen Coker (WR19→WR17); the biggest faller is DeVonta Smith (WR14→WR47).

Results table

Week 4 WR · PPR · Proj = engine median · Range = 20th–80th percentile · Opp/Total from the market as of 4:05 AM ET · Actual from final stats · Finish = actual rank on this board · Δ = actual − proj · Hit = within 6 ranks or inside the range
RankPlayerTeamOppProjRangeActualFinishΔHitNote
Tier 1 · Must start
1Jaxon Smith-Njigba
SEA vs LAC
SEAvs LAC20.712.6WR18-8.1HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs LAC · 20–80 range 11.2–33.7.
Tier 2 · Start
2Chris Olave
NO vs ATL
NOvs ATL (Mon)17.819.6WR8+1.8HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs ATL · 20–80 range 9.7–29.1.
Tier 3 · Start
3Amon-Ra St. Brown
DET @ CAR
DET@ CAR15.515.5WR140.0HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ CAR · 20–80 range 8.0–25.4.
4Ja'Marr Chase
CIN vs JAX
CINvs JAX14.45.7WR34-8.7MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs JAX · 20–80 range 7.5–23.8.
5Zay Flowers
BAL vs TEN · Questionable
BALvs TEN13.725.8WR4+12.1HitQuestionable (game-day report, seen Sat 16:30 ET): P(active) 70% — median 13.7 if he plays.
6Davante Adams
LA @ PHI
LA@ PHI13.57.2WR32-6.3HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ PHI · 20–80 range 6.8–23.1.
7CeeDee Lamb
DAL @ HOU
DAL@ HOU13.441.3WR2+27.9HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ HOU · 20–80 range 6.8–22.5.
8Christian Watson
GB @ TB
GB@ TB13.37.7WR30-5.6HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ TB · 20–80 range 6.4–22.7.
9Parker Washington
JAX @ CIN
JAX@ CIN12.32.0WR41-10.3MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ CIN · 20–80 range 6.2–21.1.
10Garrett Wilson
NYJ @ CHI
NYJ@ CHI12.15.7WR35-6.4MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ CHI · 20–80 range 6.2–20.4.
11Michael Wilson
ARI @ NYG
ARI@ NYG11.916.5WR11+4.6HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NYG · 20–80 range 5.9–20.1.
12Tee Higgins
CIN vs JAX
CINvs JAX11.426.7WR3+15.3MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs JAX · 20–80 range 5.7–19.7.
13Drake London
ATL @ NO
ATL@ NO (Mon)11.314.6WR15+3.2HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NO · 20–80 range 6.0–19.7.
14Rashee Rice
KC @ LV
KC@ LV10.60.0WR42-10.6MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ LV · 20–80 range 5.0–18.7.
15Stefon Diggs
WAS vs IND
WASvs IND10.58.5WR27-2.0HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs IND · 20–80 range 4.6–18.9.
16Luther Burden III
CHI vs NYJ
CHIvs NYJ10.211.4WR22+1.2HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs NYJ · 20–80 range 4.8–18.3.
17Jalen Coker
CAR vs DET · Questionable
CARvs DET9.70.0WR43-9.7MissQuestionable (game-day report, seen Sat 16:30 ET): P(active) 70% — median 9.7 if he plays.
18Kalif Raymond
CHI vs NYJ
CHIvs NYJ9.52.6WR40-6.9MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs NYJ · 20–80 range 4.4–17.2.
19Wan'Dale Robinson
TEN @ BAL
TEN@ BAL9.511.0WR23+1.5HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ BAL · 20–80 range 4.5–16.6.
20George Pickens
DAL @ HOU
DAL@ HOU9.59.5WR240.0HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ HOU · 20–80 range 4.6–17.0.
21Josh Downs
IND @ WAS
IND@ WAS9.14.6WR37-4.5HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ WAS · 20–80 range 4.3–16.3.
22Devaughn Vele
NO vs ATL
NOvs ATL (Mon)8.717.4WR10+8.7MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs ATL · 20–80 range 4.0–16.0.
23Terry McLaurin
WAS vs IND · Questionable
WASvs IND8.60.0WR44-8.6MissQuestionable (game-day report, seen Sat 16:30 ET): P(active) 81% — median 8.6 if he plays.
24Matthew Golden
GB @ TB
GB@ TB8.311.7WR21+3.4HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ TB · 20–80 range 3.8–15.6.
Showing 24 of 48 · tiers 3+ below

What the numbers say

7.8mean abs. error · PPR points, top 36 · Week 3: 8.0
0.04rank correlation · Spearman, top 36
5 / 12ranked top 12 who finished top 12
50%actuals inside the 20–80 range · target 60%
This version was published after the week's first kickoff, so it is scored as a retrospective, not a forecast.
The engine's read on Week 4
Engine byline · no human author · Week 3 WR accuracy: MAE 8.0, top-12 hit 7/12

Engine-generated board: four projection sources (recency, season rate, opportunity × efficiency, opponent) blended by weights fitted on the forecast ledger, scored through 10,000 fitted-distribution outcomes under this format. No analyst has reviewed it yet.

Common questions about Week 4 WR rankings

Who is the best wide receiver to start in Week 4 PPR?

Jaxon Smith-Njigba, our WR1 with a 20.7-point median; Chris Olave is WR2.

When do these rankings update?

Published Tuesday, refreshed Thursday and Saturday mornings, and again Sunday at 8 AM ET; inactives are polled from 90 minutes before each kickoff.

How this board is built
Projectionsens-fit-2026w03-mkt-20260929-2026-w4-2026-09-29+mkt-2026-w04-2026-09-29-18
Market2026-w04-2026-10-06-08
Simulation10,000 outcomes per player
Week 3 WR accuracyMAE 8.0 · top-12 hit 7/12
Rankings versionv6 · Sun, Oct 4, 8:01 AM ET
Ranks tagsunday-2026-w4-0801
Projection sources are blended by weights fitted on the forecast ledger; ranges come from simulated outcomes with injury status priced in. Every number on this page is the engine's. Data credits
VersionsRankings vf6aae813· projections ens-fit-2026w03-mkt-20260929-2026-w4-2026-09-29+mkt-2026-w04-2026-09-29-18· lines 2026-w04-2026-10-06-08· injuries 2026-10-04T15:35:34Z· engine build aabb2e5· Report a problem with this version