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Week 5 Tight End Rankings & Results — PPR

Trey McBride is our TE1 for Week 5 in PPR, ahead of Brock Bowers and Sam LaPorta. This is the first published version of this board.

Results table

Week 5 TE · 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 · bye-week teams (CAR, KC) excluded
RankPlayerTeamOppProjRangeActualFinishΔHitNote
Tier 1 · Must start
1Trey McBride
ARI vs DET
ARIvs DET13.821.6TE3+7.8HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs DET · 20–80 range 7.5–22.9.
Tier 2 · Start
2Brock Bowers
LV @ NE
LV@ NE12.423.0TE2+10.6HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NE · 20–80 range 6.2–21.2.
Tier 3 · Start
3Sam LaPorta
DET @ ARI
DET@ ARI11.319.8TE6+8.5HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ ARI · 20–80 range 5.7–19.9.
4George Kittle
SF @ SEA
SF@ SEA11.07.4TE15-3.6HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ SEA · 20–80 range 5.2–19.3.
Tier 4 · Sit
5Juwan Johnson
NO vs MIN
NOvs MIN9.95.6TE18-4.3HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs MIN · 20–80 range 4.6–17.2.
6Tyler Warren
IND @ PIT
IND@ PIT9.821.4TE5+11.6HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ PIT · 20–80 range 4.8–16.9.
7T.J. Hockenson
MIN @ NO
MIN@ NO9.71.7TE26-8.0MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NO · 20–80 range 4.9–17.1.
8Isaiah Likely
NYG @ WAS
NYG@ WAS8.832.4TE1+23.6MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ WAS · 20–80 range 4.3–15.7.
9Harold Fannin Jr.
CLE @ NYJ
CLE@ NYJ8.71.4TE27-7.3MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NYJ · 20–80 range 3.6–16.1.
10Tucker Kraft
GB vs CHI
GBvs CHI8.311.6TE11+3.2HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs CHI · 20–80 range 3.7–15.0.
11Tyler Higbee
LA vs BUF
LAvs BUF (Mon)8.313.3TE10+5.0HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs BUF · 20–80 range 3.7–14.9.
12Michael Mayer
LV @ NE
LV@ NE8.11.2TE28-6.9MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NE · 20–80 range 4.0–14.6.
13Mike Gesicki
CIN @ MIA
CIN@ MIA8.07.4TE16-0.6HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ MIA · 20–80 range 3.4–14.5.
14Brenton Strange
JAX vs PHI
JAXvs PHI7.813.8TE8+6.0HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs PHI · 20–80 range 3.7–14.2.
15Dalton Schultz
HOU @ TEN
HOU@ TEN7.56.0TE17-1.5HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ TEN · 20–80 range 3.7–13.4.
16Cade Otton
TB @ DAL
TB@ DAL (Thu)7.55.5TE19-2.0HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ DAL · 20–80 range 3.6–13.3.
17Mark Andrews
BAL @ ATL
BAL@ ATL7.14.8TE22-2.3HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ ATL · 20–80 range 3.0–13.7.
18Colston Loveland
CHI @ GB
CHI@ GB7.03.9TE23-3.1HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ GB · 20–80 range 2.9–13.5.
19Dalton Kincaid
BUF @ LA
BUF@ LA (Mon)6.83.7TE24-3.1HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ LA · 20–80 range 3.0–12.9.
20Kenyon Sadiq
NYJ vs CLE
NYJvs CLE6.80.3TE29-6.5MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs CLE · 20–80 range 2.6–13.0.
21Pat Freiermuth
PIT vs IND
PITvs IND6.821.5TE4+14.8MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs IND · 20–80 range 2.7–13.0.
22Greg Dulcich
MIA vs CIN
MIAvs CIN6.69.7TE13+3.1HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs CIN · 20–80 range 2.6–12.4.
23Jake Ferguson
DAL vs TB
DALvs TB (Thu)6.44.9TE21-1.5HitEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs TB · 20–80 range 2.1–12.8.
24Hunter Henry
NE vs LV
NEvs LV5.913.4TE9+7.5MissEnsemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs LV · 20–80 range 2.4–11.9.
Showing 24 of 32 · tiers 4+ below

What the numbers say

6.3mean abs. error · PPR points, top 24 · Week 4: 5.5
0.35rank correlation · Spearman, top 24
7 / 12ranked top 12 who finished top 12
63%actuals inside the 20–80 range · target 60%
The engine's read on Week 5
Engine byline · no human author · Week 4 TE accuracy: MAE 5.5, top-12 hit 5/12

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 5 TE rankings

Who is the best tight end to start in Week 5 PPR?

Trey McBride, our TE1 with a 13.8-point median; Brock Bowers is TE2.

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-2026w04-mkt-2026-w5-2026-10-06+mkt-2026-w05-2026-10-06-09
Market2026-w05-2026-10-13-08
Simulation10,000 outcomes per player
Week 4 TE accuracyMAE 5.5 · top-12 hit 5/12
Rankings versionv1 · Tue, Oct 6, 5:31 AM ET
Ranks tagseed-2026-w5-20261006T0931
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 v4d5ad6bc· projections ens-fit-2026w04-mkt-2026-w5-2026-10-06+mkt-2026-w05-2026-10-06-09· lines 2026-w05-2026-10-13-08· injuries 2026-10-11T15:35:27Z· engine build aabb2e5· Report a problem with this version