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NHL Faceoffs Won Leaders: Detroit Red Wings
2025-26All situationsThrough 82 team games
This board ranks every NHL skater by faceoffs won, regular season only. Pick any season back to 2017-18 above the table.
Faceoffs won counts every draw a player wins. Top-six centres who take 20 draws a night lead the total; the faceoff percentage board shows who wins them most often. FOW is a category in many deeper leagues and favours volume: a centre who takes every key draw beats a better but less used one.
Leader for the Detroit Red Wings in 2025-26: Dylan Larkin (DET), 789 FOW.
Faceoffs Won leaderboard
| # | Player | Team | FOW | GP | Per game | FOL | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Dylan LarkinFDET | DET | 789 | 74 | 10.66 | 703 | 52.9% | 96% |
| 2 | Andrew CoppFDET | DET | 537 | 79 | 6.80 | 453 | 54.2% | 9.2%▲7.8 |
| 3 | J.T. CompherFDET | DET | 520 | 82 | 6.34 | 502 | 50.9% | 4.0%▲3.9 |
| 4 | Marco KasperFDET | DET | 230 | 81 | 2.84 | 217 | 51.5% | 28%▲27 |
| 5 | Michael RasmussenFDET | DET | 132 | 64 | 2.06 | 154 | 46.2% | 0.1% |
| 6 | Nate DanielsonFDET | DET | 55 | 28 | 1.96 | 91 | 37.7% | 18%▲18 |
| 7 | Emmitt FinnieFDET | DET | 48 | 82 | 0.59 | 61 | 44.0% | 28%▲25 |
| 8 | Alex DeBrincatFDET | DET | 19 | 82 | 0.23 | 31 | 38.0% | 100%▲2.5 |
| 9 | Sheldon DriesFDET | DET | 9 | 5 | 1.80 | 12 | 42.9% | 0.0% |
| 10 | James van RiemsdykFDET | DET | 6 | 72 | 0.08 | 8 | 42.9% | 0.3% |
| 11 | Mason AppletonFDET | DET | 6 | 65 | 0.09 | 16 | 27.3% | 0.1% |
| 12 | Patrick KaneFDET | DET | 5 | 67 | 0.07 | 10 | 33.3% | 80%▲0.9 |
| 13 | Dominik ShineFDET | DET | 5 | 18 | 0.28 | 6 | 45.5% | 0.0% |
| 14 | David PerronFOTT/DET | OTT/DET | 3 | 65 | 0.05 | 7 | 30.0% | 0.2% |
| 15 | Elmer SoderblomFDET/PIT | DET/PIT | 3 | 59 | 0.05 | 5 | 37.5% | 4.8%▲4.6 |
| 16 | Jonatan BerggrenFSTL/DET | STL/DET | 3 | 51 | 0.06 | 2 | 60.0% | 4.0%▲3.9 |
| 17 | Lucas RaymondFDET | DET | 1 | 80 | 0.01 | 0 | 100.0% | 96%▲10 |
| 18 | Ben ChiarotDDET | DET | 0 | 82 | 0.00 | 0 | — | 13%▲11 |
| 19 | Moritz SeiderDDET | DET | 0 | 82 | 0.00 | 0 | — | 100%▲0.6 |
| 20 | Albert JohanssonDDET | DET | 0 | 82 | 0.00 | 0 | — | 4.8%▲4.8 |
| 21 | Justin FaulkDSTL/DET | STL/DET | 0 | 78 | 0.00 | 0 | — | 55%▼22 |
| 22 | Simon EdvinssonDDET | DET | 0 | 72 | 0.00 | 0 | — | 42%▲33 |
| 23 | Axel Sandin-PellikkaDDET | DET | 0 | 68 | 0.00 | 0 | — | 38%▲37 |
| 24 | Jacob Bernard-DockerDDET | DET | 0 | 63 | 0.00 | 0 | — | 0.1% |
| 25 | Travis HamonicDDET | DET | 0 | 26 | 0.00 | 0 | — | 0.1% |
| 26 | Michael Brandsegg-NygårdFDET | DET | 0 | 14 | 0.00 | 0 | — | 21%▲21 |
| 27 | John LeonardFDET | DET | 0 | 11 | 0.00 | 0 | — | 0.0% |
| 28 | Carter MazurFDET | DET | 0 | 8 | 0.00 | 1 | 0.0% | 4.0%▲4 |
| 29 | Erik GustafssonDDET | DET | 0 | 2 | 0.00 | 0 | — | 3.2%▲3.2 |
How to read it
Total faceoffs won, all situations.
How reliable is it?
Totals follow ice time and role; win rates are a real, repeatable skill once a centre has a few hundred draws.
About our data sources →Projected next
Our fantasy projections for faceoffs won: who should lead the coming games.