Rest of Season Kicker Rankings
Rest-of-season Kicker rankings from the FantasyPros expert consensus — consensus rank, best and worst expert rank, bye week. Updated through Week 1.
Week 1 · 2026 season · Consensus updated September 9, 2026 at 6:11 PM EDT
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| # | Player | Pos | Team | Bye | Consensus | Best | Worst | Split | Rostered |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Brandon Aubrey | K | DAL | 14 | 1.0 | 1 | 1 | ±0.0 | 100% |
| 2 | Cameron Dicker | K | LAC | 7 | 2.5 | 2 | 3 | ±0.5 | 98% |
| 3 | Ka'imi Fairbairn | K | HOU | 8 | 3.0 | 2 | 4 | ±1.0 | 96% |
| 4 | Jason Myers | K | SEA | 11 | 4.0 | 3 | 5 | ±1.0 | 98% |
| 5 | Cam Little | K | JAX | 7 | 4.5 | 4 | 5 | ±0.5 | 93% |
| 6 | Eddy Pineiro | K | SF | 8 | 6.0 | 6 | 6 | ±0.0 | 59% |
| 7 | Cairo Santos | K | CHI | 10 | 8.0 | 7 | 9 | ±1.0 | 31% |
| 8 | Tyler Loop | K | BAL | 13 | 8.5 | 7 | 10 | ±1.5 | 60% |
| 9 | Evan McPherson | K | CIN | 6 | 9.0 | 8 | 10 | ±1.0 | 42% |
| 10 | Jake Bates | K | DET | 6 | 9.5 | 8 | 11 | ±1.5 | 73% |
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| 11 | Andy Borregales | K | NE | 11 | 10.0 | 9 | 11 | ±1.0 | 11% |
| 12 | Harrison Mevis | K | LAR | 11 | 12.0 | 12 | 12 | ±0.0 | 81% |
| 13 | Chase McLaughlin | K | TB | 10 | 13.5 | 13 | 14 | ±0.5 | 14% |
| 14 | Harrison Butker | K | KC | 5 | 14.0 | 13 | 15 | ±1.0 | 49% |
| 15 | Chris Boswell | K | PIT | 9 | 14.5 | 14 | 15 | ±0.5 | 38% |
| 16 | Will Reichard | K | MIN | 6 | 16.5 | 16 | 17 | ±0.5 | 50% |
| 17 | Wil Lutz | K | DEN | 10 | 17.0 | 16 | 18 | ±1.0 | 11% |
| 18 | Jake Elliott | K | PHI | 10 | 18.0 | 17 | 19 | ±1.0 | 8% |
| 19 | Tyler Bass | K | BUF | 7 | 20.0 | 19 | 21 | ±1.0 | 7% |
| 20 | Trey Smack | K | GB | 11 | 21.0 | 20 | 22 | ±1.0 | 13% |
| 21 | Nick Folk | K | ATL | 11 | 22.5 | 22 | 23 | ±0.5 | 3% |
| 22 | Blake Grupe | K | NYJ | 13 | 23.5 | 23 | 24 | ±0.5 | 1% |
| 23 | Spencer Shrader | K | IND | 13 | 24.5 | 24 | 25 | ±0.5 | 6% |
| 24 | Charlie Smyth | K | NO | 8 | 18.0 | 18 | 18 | ±0.0 | 1% |
| 25 | Daniel Carlson | K | NO | 8 | 26.0 | 21 | 31 | ±5.0 | 1% |
| 26 | Joey Slye | K | TEN | 9 | 26.0 | 25 | 27 | ±1.0 | 1% |
| 27 | Zane Gonzalez | K | FA | — | 20.0 | 20 | 20 | ±0.0 | 2% |
| 28 | Ryan Fitzgerald | K | CAR | 5 | 28.0 | 26 | 30 | ±2.0 | 1% |
| 29 | Brandon McManus | K | FA | — | 26.0 | 26 | 26 | ±0.0 | 1% |
| 30 | Chad Ryland | K | ARI | 14 | 29.5 | 29 | 30 | ±0.5 | 1% |
| 31 | Drew Stevens | K | WAS | 7 | 27.0 | 27 | 27 | ±0.0 | 1% |
| 32 | Riley Patterson | K | MIA | 6 | 28.0 | 28 | 28 | ±0.0 | 1% |
| 33 | Jake Moody | K | BAL | 13 | 28.0 | 28 | 28 | ±0.0 | 2% |
| 34 | Matt Gay | K | LV | 13 | 29.0 | 29 | 29 | ±0.0 | 4% |
| 35 | Dominic Zvada | K | NYG | 8 | 31.0 | 31 | 31 | ±0.0 | 2% |
| 36 | Andre Szmyt | K | CLE | 11 | 32.0 | 32 | 32 | ±0.0 | 1% |
| 37 | Ben Sauls | K | FA | — | 32.0 | 32 | 32 | ±0.0 | 1% |
Expert consensus and ownership data via FantasyPros · 2 contributing experts
Where the experts split
The widest expert disagreements near the top of the board — the players one analyst has as a must-start and another has on the bench.
- #25Daniel CarlsonK · NObest #21 · worst #31 · ±5.0
- #28Ryan FitzgeraldK · CARbest #26 · worst #30 · ±2.0
- #8Tyler LoopK · BALbest #7 · worst #10 · ±1.5
- #10Jake BatesK · DETbest #8 · worst #11 · ±1.5
- #3Ka'imi FairbairnK · HOUbest #2 · worst #4 · ±1.0
Want to use these values for your roster? Try the free AI Trade Analyzer or the AI Trade Finder— both run on the same Market Index.
Related rankings
Frequently Asked Questions
- What are rest-of-season (ROS) fantasy football rankings?
- ROS rankings order players by expected production from this week through the end of the fantasy season, rather than for one week or for a draft. They move every week as injuries, roles and schedules change, which is why the board carries the week it was updated.
- Where do these rankings come from?
- They are FantasyPros expert consensus rankings — the average of every contributing expert's rest-of-season ranking — shown with each player's best and worst expert rank so you can see where the experts agree and where they split. LeagueLogs displays the board under a commercial license and adds the roster-level context inside the app.
- How should I use ROS rankings for trades?
- Treat the consensus as the market and the spread as the opportunity: a player whose worst rank is far below his consensus is one some experts have real doubts about, and a player whose best rank is far above it is one somebody believes in. Run any deal through the free AI Trade Analyzer to price it against the LeagueLogs Market Index.