Puka Nacua is our WR1 for Week 6 in Half-PPR, ahead of Jaxon Smith-Njigba and Christian Watson. This is the first published version of this board.
Rankings table
| Rank | Player | Status | Team | Opp | Total | Proj | Range | Chg | Verdict | Note |
|---|---|---|---|---|---|---|---|---|---|---|
| Tier 1 · Must start | ||||||||||
| 1 | Puka Nacua LA vs ARI · 51.5 | — | LA | vs ARI | 51.5 | 15.9 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs ARI · 20–80 range 8.4–26.4. | |
| Tier 2 · Start | ||||||||||
| 2 | Jaxon Smith-Njigba SEA @ DEN | — | SEA | @ DEN (Thu) | final | 14.6 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ DEN · 20–80 range 7.3–24.6. | |
| Tier 3 · Start | ||||||||||
| 3 | Christian Watson GB vs DAL · 53.0 | — | GB | vs DAL | 53.0 | 12.9 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs DAL · 20–80 range 6.0–21.9. | |
| Tier 4 · Start | ||||||||||
| 4 | Zay Flowers BAL @ CLE · 40.0 | — | BAL | @ CLE | 40.0 | 11.8 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ CLE · 20–80 range 6.0–20.3. | |
| 5 | CeeDee Lamb DAL @ GB · 53.0 | — | DAL | @ GB | 53.0 | 11.6 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ GB · 20–80 range 5.9–19.8. | |
| 6 | Chris Olave NO @ NYG · 46.0 | — | NO | @ NYG | 46.0 | 11.0 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NYG · 20–80 range 5.7–19.3. | |
| 7 | Davante Adams LA vs ARI · 51.5 | — | LA | vs ARI | 51.5 | 11.0 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs ARI · 20–80 range 4.9–19.4. | |
| 8 | Drake London ATL vs CHI · 52.0 | — | ATL | vs CHI | 52.0 | 10.8 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs CHI · 20–80 range 5.6–18.9. | |
| 9 | Parker Washington JAX vs HOU · 42.5 | — | JAX | vs HOU | 42.5 | 10.2 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs HOU · 20–80 range 4.6–18.0. | |
| 10 | Nico Collins HOU @ JAX · 42.5 | — | HOU | @ JAX | 42.5 | 10.1 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ JAX · 20–80 range 4.9–17.9. | |
| 11 | Malik Nabers NYG vs NO · 46.0 | — | NYG | vs NO | 46.0 | 9.9 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs NO · 20–80 range 4.8–17.2. | |
| 12 | Garrett Wilson NYJ @ NE · 43.5 | — | NYJ | @ NE | 43.5 | 9.9 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NE · 20–80 range 4.8–17.4. | |
| 13 | Mike Evans SF vs WAS · 51.5 | — | SF | vs WAS (Mon) | 51.5 | 9.8 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs WAS · 20–80 range 4.6–16.8. | |
| 14 | George Pickens DAL @ GB · 53.0 | — | DAL | @ GB | 53.0 | 9.0 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ GB · 20–80 range 4.5–16.1. | |
| 15 | Matthew Golden GB vs DAL · 53.0 | — | GB | vs DAL | 53.0 | 9.0 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs DAL · 20–80 range 4.3–16.2. | |
| Tier 5 · Start | ||||||||||
| 16 | Denzel Boston CLE vs BAL · 40.0 | — | CLE | vs BAL | 40.0 | 7.7 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs BAL · 20–80 range 3.2–15.1. | |
| 17 | Michael Wilson ARI @ LA · 51.5 | — | ARI | @ LA | 51.5 | 7.3 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ LA · 20–80 range 3.3–14.4. | |
| 18 | Wan'Dale Robinson TEN @ IND · 44.5 | — | TEN | @ IND | 44.5 | 7.0 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ IND · 20–80 range 3.0–13.5. | |
| 19 | Luther Burden III CHI @ ATL · 52.0 | — | CHI | @ ATL | 52.0 | 6.8 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ ATL · 20–80 range 3.1–13.2. | |
| 20 | Terry McLaurin WAS @ SF · 51.5 | — | WAS | @ SF (Mon) | 51.5 | 6.7 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ SF · 20–80 range 3.0–13.3. | |
| 21 | Devaughn Vele NO @ NYG · 46.0 | — | NO | @ NYG | 46.0 | 6.5 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NYG · 20–80 range 2.8–12.9. | |
| 22 | Carnell Tate TEN @ IND · 44.5 | — | TEN | @ IND | 44.5 | 6.1 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ IND · 20–80 range 2.8–12.0. | |
| 23 | Deebo Samuel Sr. SF vs WAS · 51.5 | — | SF | vs WAS (Mon) | 51.5 | 6.1 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs WAS · 20–80 range 2.2–12.7. | |
| 24 | Keenan Allen IND vs TEN · 44.5 | — | IND | vs TEN | 44.5 | 6.0 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs TEN · 20–80 range 2.7–12.2. | |
| 25 | Keon Coleman BUF @ LV · 53.5 | — | BUF | @ LV | 53.5 | 6.0 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ LV · 20–80 range 2.3–12.6. | |
| 26 | Khalil Shakir BUF @ LV · 53.5 | — | BUF | @ LV | 53.5 | 6.0 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ LV · 20–80 range 2.8–11.7. | |
| 27 | DK Metcalf PIT @ TB · 39.5 | — | PIT | @ TB | 39.5 | 5.9 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ TB · 20–80 range 2.7–11.8. | |
| 28 | Rome Odunze CHI @ ATL · 52.0 | — | CHI | @ ATL | 52.0 | 5.7 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ ATL · 20–80 range 2.5–11.5. | |
| 29 | Josh Downs IND vs TEN · 44.5 | — | IND | vs TEN | 44.5 | 5.7 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs TEN · 20–80 range 2.6–11.3. | |
| 30 | Tre Tucker LV vs BUF · 53.5 | — | LV | vs BUF | 53.5 | 5.7 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs BUF · 20–80 range 2.5–11.3. | |
| 31 | Romeo Doubs NE vs NYJ · 43.5 | — | NE | vs NYJ | 43.5 | 5.6 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs NYJ · 20–80 range 2.2–11.8. | |
| 32 | Dontayvion Wicks PHI vs CAR · 39.0 | — | PHI | vs CAR | 39.0 | 5.5 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs CAR · 20–80 range 2.4–11.2. | |
| 33 | Emeka Egbuka TB vs PIT · 39.5 | — | TB | vs PIT | 39.5 | 5.3 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs PIT · 20–80 range 2.0–11.4. | |
| 34 | Jaylen Waddle DEN vs SEA | — | DEN | vs SEA (Thu) | final | 5.2 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs SEA · 20–80 range 1.9–11.2. | |
| 35 | Xavier Hutchinson HOU @ JAX · 42.5 | — | HOU | @ JAX | 42.5 | 5.1 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ JAX · 20–80 range 2.3–10.4. | |
| 36 | Rashod Bateman BAL @ CLE · 40.0 | — | BAL | @ CLE | 40.0 | 5.0 | — | Start | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ CLE · 20–80 range 2.2–10.4. | |
| 37 | Kalif Raymond CHI @ ATL · 52.0 | — | CHI | @ ATL | 52.0 | 4.9 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ ATL · 20–80 range 1.9–10.8. | |
| 38 | Ryan Flournoy DAL @ GB · 53.0 | — | DAL | @ GB | 53.0 | 4.9 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ GB · 20–80 range 2.2–10.1. | |
| 39 | Jakobi Meyers JAX vs HOU · 42.5 | — | JAX | vs HOU | 42.5 | 4.8 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs HOU · 20–80 range 1.8–10.9. | |
| 40 | Darius Cooper PHI vs CAR · 39.0 | — | PHI | vs CAR | 39.0 | 4.8 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs CAR · 20–80 range 1.4–11.1. | |
| 41 | DeMario Douglas NE vs NYJ · 43.5 | — | NE | vs NYJ | 43.5 | 4.7 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs NYJ · 20–80 range 1.5–11.1. | |
| 42 | Jaylin Noel HOU @ JAX · 42.5 | — | HOU | @ JAX | 42.5 | 4.5 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ JAX · 20–80 range 1.6–10.4. | |
| 43 | Germie Bernard PIT @ TB · 39.5 | — | PIT | @ TB | 39.5 | 4.5 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ TB · 20–80 range 1.7–9.9. | |
| 44 | Chris Godwin Jr. TB vs PIT · 39.5 | — | TB | vs PIT | 39.5 | 4.5 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs PIT · 20–80 range 1.7–9.5. | |
| 45 | Tre Harris LAC @ KC · 41.5 | — | LAC | @ KC | 41.5 | 4.3 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ KC · 20–80 range 1.5–9.5. | |
| 46 | Kendrick Bourne ARI @ LA · 51.5 | — | ARI | @ LA | 51.5 | 4.2 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ LA · 20–80 range 1.5–9.3. | |
| 47 | Roman Wilson PIT @ TB · 39.5 | — | PIT | @ TB | 39.5 | 4.0 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ TB · 20–80 range 1.2–10.0. | |
| 48 | KC Concepcion CLE vs BAL · 40.0 | — | CLE | vs BAL | 40.0 | 3.9 | — | Flex | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs BAL · 20–80 range 1.5–8.7. | |
Showing 24 of 48 · tiers 5+ below
Key changes since the previous publish
First published version of this board — no changes to show yet.
The engine's read on Week 6
Engine byline · no human author · Week 5 WR accuracy: MAE 7.0, top-12 hit 4/12
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.
Tiers 1–2 in depth
Puka NacuaWR1 · LA vs ARI
Median 15.9 · 20–80 range 8.4–26.4 · game total 51.5. Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs ARI · 20–80 range 8.4–26.4.
Jaxon Smith-NjigbaWR2 · SEA @ DEN
Median 14.6 · 20–80 range 7.3–24.6. Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ DEN · 20–80 range 7.3–24.6.
Common questions about Week 6 WR rankings
Who is the best wide receiver to start in Week 6 Half-PPR?
Puka Nacua, our WR1 with a 15.9-point median; Jaxon Smith-Njigba 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-2026w05-mkt-2026-w6-2026-10-13+mkt-2026-w06-2026-10-13-09
Market2026-w06-2026-10-16-19
Simulation10,000 outcomes per player
Week 5 WR accuracyMAE 7.0 · top-12 hit 4/12
Rankings versionv1 · Tue, Oct 13, 5:31 AM ET
Ranks tagseed-2026-w6-20261013T0931
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
More rankings
VersionsRankings v0850ba1e· projections ens-fit-2026w05-mkt-2026-w6-2026-10-13+mkt-2026-w06-2026-10-13-09· lines 2026-w06-2026-10-16-19· injuries 2026-10-15T22:45:25Z· engine build aabb2e5· Report a problem with this version