Jason Myers is our K1 for Week 4 in Half-PPR, ahead of Ka'imi Fairbairn and Harrison Butker. The biggest riser since the last publish is Nick Folk (K21→K15); the biggest faller is Cairo Santos (K3→K17).
Results table
| Rank | Player | Team | Opp | Proj | Range | Actual | Finish | Δ | Hit | Note |
|---|---|---|---|---|---|---|---|---|---|---|
| Tier 1 | ||||||||||
| 1 | Jason Myers SEA vs LAC | SEA | vs LAC | 8.0 | 6.0 | K21 | -2.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs LAC · 20–80 range 4.0–13.0. | |
| 2 | Ka'imi Fairbairn HOU vs DAL | HOU | vs DAL | 8.0 | 16.0 | K3 | +8.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs DAL · 20–80 range 4.0–13.0. | |
| 3 | Harrison Butker KC @ LV | KC | @ LV | 8.0 | 6.0 | K22 | -2.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ LV · 20–80 range 4.0–13.0. | |
| 4 | Eddy Pineiro SF vs DEN | SF | vs DEN | 8.0 | 5.0 | K25 | -3.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs DEN · 20–80 range 4.0–13.0. | |
| 5 | Matt Gay LV vs KC | LV | vs KC | 8.0 | 16.0 | K4 | +8.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs KC · 20–80 range 4.0–13.0. | |
| 6 | Tyler Bass BUF vs NE | BUF | vs NE | 8.0 | 8.0 | K15 | 0.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs NE · 20–80 range 4.0–13.0. | |
| 7 | Evan McPherson CIN vs JAX | CIN | vs JAX | 8.0 | 5.0 | K26 | -3.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs JAX · 20–80 range 4.0–13.0. | |
| 8 | Brandon Aubrey DAL @ HOU | DAL | @ HOU | 8.0 | 10.0 | K11 | +2.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ HOU · 20–80 range 4.0–14.0. | |
| 9 | Jake Bates DET @ CAR | DET | @ CAR | 8.0 | 18.0 | K2 | +10.0 | Miss | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ CAR · 20–80 range 4.0–13.0. | |
| 10 | Will Reichard MIN vs MIA | MIN | vs MIA | 8.0 | 19.0 | K1 | +11.0 | Miss | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs MIA · 20–80 range 4.0–13.0. | |
| 11 | Cam Little JAX @ CIN | JAX | @ CIN | 8.0 | 14.0 | K6 | +6.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ CIN · 20–80 range 4.0–13.0. | |
| 12 | Harrison Mevis LA @ PHI | LA | @ PHI | 8.0 | 6.0 | K23 | -2.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ PHI · 20–80 range 4.0–12.0. | |
| 13 | Spencer Shrader IND @ WAS | IND | @ WAS | 8.0 | 16.0 | K5 | +8.0 | Miss | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ WAS · 20–80 range 4.0–13.0. | |
| 14 | Tyler Loop BAL vs TEN | BAL | vs TEN | 8.0 | 7.0 | K18 | -1.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs TEN · 20–80 range 4.0–13.0. | |
| 15 | Nick Folk ATL @ NO | ATL | @ NO (Mon) | 7.0 | 9.0 | K13 | +2.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NO · 20–80 range 3.0–12.0. | |
| 16 | Chris Boswell PIT @ CLE | PIT | @ CLE (Thu) | 7.0 | 3.0 | K30 | -4.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ CLE · 20–80 range 3.0–12.0. | |
| 17 | Cairo Santos CHI vs NYJ | CHI | vs NYJ | 7.0 | 11.0 | K10 | +4.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs NYJ · 20–80 range 4.0–13.0. | |
| 18 | Wil Lutz DEN @ SF | DEN | @ SF | 7.0 | 8.0 | K16 | +1.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ SF · 20–80 range 3.0–12.0. | |
| 19 | Daniel Carlson NO vs ATL | NO | vs ATL (Mon) | 7.0 | 5.0 | K27 | -2.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs ATL · 20–80 range 3.0–12.0. | |
| 20 | Jason Sanders NYJ @ CHI | NYJ | @ CHI | 7.0 | 6.0 | K24 | -1.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ CHI · 20–80 range 3.0–12.0. | |
| 21 | Chase McLaughlin TB vs GB | TB | vs GB | 7.0 | 2.0 | K32 | -5.0 | Miss | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs GB · 20–80 range 3.0–13.0. | |
| 22 | Andre Szmyt CLE vs PIT | CLE | vs PIT (Thu) | 7.0 | 12.0 | K8 | +5.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs PIT · 20–80 range 3.0–12.0. | |
| 23 | Chad Ryland ARI @ NYG | ARI | @ NYG | 7.0 | 8.0 | K17 | +1.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ NYG · 20–80 range 3.0–12.0. | |
| 24 | Andy Borregales NE @ BUF | NE | @ BUF | 7.0 | 3.0 | K31 | -4.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ BUF · 20–80 range 3.0–12.0. | |
| 25 | Ryan Fitzgerald CAR vs DET | CAR | vs DET | 7.0 | 9.0 | K14 | +2.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs DET · 20–80 range 4.0–12.0. | |
| 26 | Trey Smack GB @ TB | GB | @ TB | 7.0 | 7.0 | K19 | 0.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ TB · 20–80 range 3.0–12.0. | |
| 27 | Dominic Zvada NYG vs ARI | NYG | vs ARI | 7.0 | 14.0 | K7 | +7.0 | Miss | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs ARI · 20–80 range 3.0–12.0. | |
| 28 | Drew Stevens WAS vs IND | WAS | vs IND | 7.0 | 7.0 | K20 | 0.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs IND · 20–80 range 3.0–12.0. | |
| 29 | Jake Elliott PHI vs LA | PHI | vs LA | 6.0 | 10.0 | K12 | +4.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; vs LA · 20–80 range 3.0–11.0. | |
| 30 | Joey Slye TEN @ BAL | TEN | @ BAL | 6.0 | 4.0 | K28 | -2.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ BAL · 20–80 range 2.0–11.0. | |
| 31 | Riley Patterson MIA @ MIN | MIA | @ MIN | 6.0 | 4.0 | K29 | -2.0 | Hit | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ MIN · 20–80 range 2.0–11.0. | |
| 32 | Cameron Dicker LAC @ SEA | LAC | @ SEA | 6.0 | 12.0 | K9 | +6.0 | Miss | Ensemble: recency, season rate, opportunity × efficiency and opponent blended by fitted weights; @ SEA · 20–80 range 3.0–11.0. | |
Showing 24 of 32 · tiers 1+ below
What the numbers say
4.0mean abs. error · Half-PPR points, top 24
0.31rank correlation · Spearman, top 24
6 / 12ranked top 12 who finished top 12
71%actuals inside the 20–80 range · target 60%
The engine's read on Week 4
Engine byline · no human author
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 K rankings
Who is the best kicker to start in Week 4 Half-PPR?
Jason Myers, our K1 with a 8.0-point median; Ka'imi Fairbairn is K2.
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
Accuracyscored after the week flips
Rankings versionv5 · Tue, Sep 29, 2:32 PM ET
Ranks tagseed-2026-w4-20260929T1832
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 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