More skater stats
NHL Faceoffs Won Leaders
2019-20All situationsThrough 71 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 in 2019-20: Ryan O'Reilly (STL), 880 FOW.
Faceoffs Won leaderboard
883 qualified
Show
| # | Player | Team | FOW | GP | Per game | FOL | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Ryan O'ReillyFSTL | STL | 880 | 71 | 12.39 | 676 | 56.6% | 84%▲5 |
| 2 | Jonathan ToewsFCHI | CHI | 856 | 70 | 12.23 | 638 | 57.3% | 0.3% |
| 3 | Bo HorvatFVAN | VAN | 850 | 69 | 12.32 | 633 | 57.3% | 90%▲1.2 |
| 4 | Anze KopitarFLAK | LAK | 776 | 70 | 11.09 | 631 | 55.2% | 0.5% |
| 5 | Patrice BergeronFBOS | BOS | 759 | 61 | 12.44 | 552 | 57.9% | — |
| 6 | Phillip DanaultFMTL | MTL | 728 | 71 | 10.25 | 608 | 54.5% | 4.9%▲4.5 |
| 7 | Dylan LarkinFDET | DET | 714 | 71 | 10.06 | 648 | 52.4% | 96% |
| 8 | Jordan StaalFCAR | CAR | 699 | 68 | 10.28 | 585 | 54.4% | 20%▲13 |
| 9 | Claude GirouxFPHI | PHI | 663 | 69 | 9.61 | 460 | 59.0% | 30%▲20 |
| 10 | Leon DraisaitlFEDM | EDM | 661 | 71 | 9.31 | 608 | 52.1% | 100% |
| 11 | Aleksander BarkovFFLA | FLA | 653 | 66 | 9.89 | 550 | 54.3% | 97%▲7 |
| 12 | Boone JennerFCBJ | CBJ | 643 | 70 | 9.19 | 523 | 55.1% | 21%▲16 |
| 13 | Paul StastnyFVGK | VGK | 624 | 71 | 8.79 | 515 | 54.8% | — |
| 14 | John TavaresFTOR | TOR | 617 | 63 | 9.79 | 499 | 55.3% | 96%▲9.3 |
| 15 | Brock NelsonFNYI | NYI | 615 | 68 | 9.04 | 573 | 51.8% | 88%▼3.6 |
| 16 | Jean-Gabriel PageauFOTT/NYI | OTT/NYI | 615 | 67 | 9.18 | 534 | 53.5% | 12%▲11 |
| 17 | Jack EichelFBUF | BUF | 614 | 68 | 9.03 | 697 | 46.8% | 99%▲1.4 |
| 18 | Mark ScheifeleFWPG | WPG | 605 | 71 | 8.52 | 684 | 46.9% | 99% |
| 19 | Mika ZibanejadFNYR | NYR | 592 | 57 | 10.39 | 612 | 49.2% | 98%▲1.4 |
| 20 | Travis ZajacFNJD | NJD | 576 | 69 | 8.35 | 514 | 52.8% | — |
| 21 | Derek StepanFARI | ARI | 569 | 70 | 8.13 | 628 | 47.5% | — |
| 22 | Sean MonahanFCGY | CGY | 549 | 70 | 7.84 | 495 | 52.6% | 19%▲13 |
| 23 | Ryan JohansenFNSH | NSH | 549 | 68 | 8.07 | 483 | 53.2% | — |
| 24 | Sean CouturierFPHI | PHI | 542 | 69 | 7.86 | 367 | 59.6% | 9.2%▲7.2 |
| 25 | Tyler SeguinFDAL | DAL | 538 | 69 | 7.80 | 387 | 58.2% | 22%▲19 |
| 26 | Lars EllerFWSH | WSH | 536 | 69 | 7.77 | 497 | 51.9% | 0.2% |
| 27 | Ryan GetzlafFANA | ANA | 530 | 69 | 7.68 | 504 | 51.3% | — |
| 28 | Christian DvorakFARI | ARI | 523 | 70 | 7.47 | 426 | 55.1% | 16%▲13 |
| 29 | Chris TierneyFOTT | OTT | 521 | 71 | 7.34 | 497 | 51.2% | — |
| 30 | Nicklas BackstromFWSH | WSH | 516 | 61 | 8.46 | 532 | 49.2% | — |
| 31 | Adam HenriqueFANA | ANA | 512 | 71 | 7.21 | 418 | 55.1% | 0.5% |
| 32 | Nico HischierFNJD | NJD | 507 | 58 | 8.74 | 473 | 51.7% | 97%▲2.3 |
| 33 | Auston MatthewsFTOR | TOR | 506 | 70 | 7.23 | 414 | 55.0% | 99% |
| 34 | Ryan StromeFNYR | NYR | 496 | 70 | 7.09 | 548 | 47.5% | 4.0%▲3.9 |
| 35 | Eric StaalFMIN | MIN | 495 | 66 | 7.50 | 504 | 49.5% | — |
| 36 | Sidney CrosbyFPIT | PIT | 494 | 41 | 12.05 | 394 | 55.6% | 100%▲2.4 |
| 37 | William KarlssonFVGK | VGK | 491 | 63 | 7.79 | 455 | 51.9% | 24%▲20 |
| 38 | Nick BoninoFNSH | NSH | 488 | 67 | 7.28 | 440 | 52.6% | — |
| 39 | Evgeni MalkinFPIT | PIT | 441 | 55 | 8.02 | 435 | 50.3% | 82%▲11 |
| 40 | Anthony CirelliFTBL | TBL | 434 | 68 | 6.38 | 480 | 47.5% | 51%▲19 |
| 41 | Vincent TrocheckFFLA/CAR | FLA/CAR | 434 | 62 | 7.00 | 398 | 52.2% | 88%▼5.4 |
| 42 | Nate ThompsonFMTL/PHI | MTL/PHI | 433 | 70 | 6.19 | 354 | 55.0% | — |
| 43 | Tomas HertlFSJS | SJS | 433 | 48 | 9.02 | 357 | 54.8% | 84%▲3.2 |
| 44 | Mikko KoivuFMIN | MIN | 431 | 55 | 7.84 | 380 | 53.1% | — |
| 45 | J.T. MillerFVAN | VAN | 425 | 69 | 6.16 | 293 | 59.2% | 92%▲7.7 |
| 46 | Pierre-Edouard BellemareFCOL | COL | 419 | 69 | 6.07 | 371 | 53.0% | — |
| 47 | Kevin HayesFPHI | PHI | 415 | 69 | 6.01 | 411 | 50.2% | 0.0% |
| 48 | Sebastian AhoFCAR | CAR | 409 | 68 | 6.01 | 480 | 46.0% | 99%▲1.2 |
| 49 | Riley SheahanFEDM | EDM | 409 | 66 | 6.20 | 425 | 49.0% | — |
| 50 | Nazem KadriFCOL | COL | 407 | 51 | 7.98 | 310 | 56.8% | 71%▼9 |
| 51 | Radek FaksaFDAL | DAL | 404 | 66 | 6.12 | 406 | 49.9% | 0.1% |
| 52 | Teddy BluegerFPIT | PIT | 402 | 69 | 5.83 | 488 | 45.2% | 4.8%▲4.6 |
| 53 | Jay BeagleFVAN | VAN | 401 | 55 | 7.29 | 277 | 59.1% | — |
| 54 | Brayden PointFTBL | TBL | 397 | 66 | 6.02 | 380 | 51.1% | 95%▲7.5 |
| 55 | Elias LindholmFCGY | CGY | 395 | 70 | 5.64 | 406 | 49.3% | 43%▲4.7 |
| 56 | Barclay GoodrowFSJS/TBL | SJS/TBL | 393 | 70 | 5.61 | 406 | 49.2% | 0.1% |
| 57 | Luke GlendeningFDET | DET | 393 | 60 | 6.55 | 307 | 56.1% | 0.0% |
| 58 | Matt DucheneFNSH | NSH | 390 | 66 | 5.91 | 305 | 56.1% | 62%▼17 |
| 59 | Max DomiFMTL | MTL | 385 | 71 | 5.42 | 403 | 48.9% | 5.8%▲4.6 |
| 60 | Derek RyanFCGY | CGY | 383 | 68 | 5.63 | 349 | 52.3% | — |
| 61 | Jeff CarterFLAK | LAK | 382 | 60 | 6.37 | 364 | 51.2% | — |
| 62 | Noel AcciariFFLA | FLA | 381 | 66 | 5.77 | 413 | 48.0% | 3.3%▲3.1 |
| 63 | Erik HaulaFCAR/FLA | CAR/FLA | 381 | 48 | 7.94 | 323 | 54.1% | 12%▲8.7 |
| 64 | Lucas WallmarkFCAR/FLA | CAR/FLA | 379 | 67 | 5.66 | 374 | 50.3% | — |
| 65 | David KrejciFBOS | BOS | 371 | 61 | 6.08 | 366 | 50.3% | — |
| 66 | Sam SteelFANA | ANA | 369 | 65 | 5.68 | 365 | 50.3% | 5.8%▲4.9 |
| 67 | Mikael BacklundFCGY | CGY | 368 | 70 | 5.26 | 410 | 47.3% | 14%▲9.3 |
| 68 | Casey CizikasFNYI | NYI | 368 | 48 | 7.67 | 320 | 53.5% | 0.1% |
| 69 | Joel Eriksson EkFMIN | MIN | 367 | 62 | 5.92 | 428 | 46.2% | 82%▲10 |
| 70 | Steven StamkosFTBL | TBL | 365 | 57 | 6.40 | 307 | 54.3% | 94%▼4.2 |
| 71 | Tyler BozakFSTL | STL | 363 | 67 | 5.42 | 297 | 55.0% | — |
| 72 | Nathan MacKinnonFCOL | COL | 362 | 69 | 5.25 | 478 | 43.1% | 100%▲0.9 |
| 73 | Pierre-Luc DuboisFCBJ | CBJ | 359 | 70 | 5.13 | 446 | 44.6% | 42%▲33 |
| 74 | Derek GrantFANA/PHI | ANA/PHI | 358 | 56 | 6.39 | 336 | 51.6% | — |
| 75 | Brad RichardsonFARI | ARI | 355 | 59 | 6.02 | 303 | 54.0% | — |
| 76 | Joe PavelskiFDAL | DAL | 351 | 67 | 5.24 | 301 | 53.8% | — |
| 77 | Brayden SchennFSTL | STL | 350 | 71 | 4.93 | 364 | 49.0% | 28%▲7.8 |
| 78 | Adam LowryFWPG | WPG | 349 | 49 | 7.12 | 300 | 53.8% | 5.7%▲5.5 |
| 79 | Evgeny KuznetsovFWSH | WSH | 348 | 63 | 5.52 | 455 | 43.3% | — |
| 80 | J.T. CompherFCOL | COL | 341 | 67 | 5.09 | 374 | 47.7% | 4.0%▲3.9 |
| 81 | Charlie CoyleFBOS | BOS | 326 | 70 | 4.66 | 373 | 46.6% | 49%▼11 |
| 82 | Blake WheelerFWPG | WPG | 325 | 71 | 4.58 | 327 | 49.8% | — |
| 83 | Valtteri FilppulaFDET | DET | 324 | 70 | 4.63 | 398 | 44.9% | — |
| 84 | Joe ThorntonFSJS | SJS | 323 | 70 | 4.61 | 331 | 49.4% | — |
| 85 | Johan LarssonFBUF | BUF | 322 | 62 | 5.19 | 346 | 48.2% | — |
| 86 | Connor McDavidFEDM | EDM | 320 | 64 | 5.00 | 350 | 47.8% | 100%▲1.5 |
| 87 | Cedric PaquetteFTBL | TBL | 316 | 61 | 5.18 | 305 | 50.9% | — |
| 88 | David KampfFCHI | CHI | 313 | 70 | 4.47 | 285 | 52.3% | 0.0% |
| 89 | Blake LizotteFLAK | LAK | 312 | 65 | 4.80 | 310 | 50.2% | 0.1% |
| 90 | Cody EakinFVGK/WPG | VGK/WPG | 311 | 49 | 6.35 | 330 | 48.5% | — |
| 91 | Andrew CoppFWPG | WPG | 310 | 63 | 4.92 | 275 | 53.0% | 9.2%▲7.8 |
| 92 | Alexander WennbergFCBJ | CBJ | 309 | 57 | 5.42 | 363 | 46.0% | 25%▼1.6 |
| 93 | Nick SuzukiFMTL | MTL | 305 | 71 | 4.30 | 354 | 46.3% | 100%▲0.5 |
| 94 | Pavel ZachaFNJD | NJD | 283 | 65 | 4.35 | 371 | 43.3% | 78%▲13 |
| 95 | Colton SissonsFNSH | NSH | 283 | 57 | 4.96 | 269 | 51.3% | 3.3%▲3.1 |
| 96 | Dylan StromeFCHI | CHI | 277 | 58 | 4.78 | 304 | 47.7% | 83%▲11 |
| 97 | Colin WhiteFOTT | OTT | 275 | 61 | 4.51 | 305 | 47.4% | 0.0% |
| 98 | Nic DowdFWSH | WSH | 274 | 56 | 4.89 | 277 | 49.7% | 3.2%▲3.1 |
| 99 | Gabriel LandeskogFCOL | COL | 274 | 54 | 5.07 | 212 | 56.4% | 50%▲32 |
| 100 | Jared McCannFPIT | PIT | 265 | 66 | 4.02 | 306 | 46.4% | 72%▲1.9 |
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.