More skater stats
NHL Faceoffs Won Leaders
2017-18All 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 in 2017-18: Ryan O'Reilly (BUF), 1,274 FOW.
Faceoffs Won leaderboard
890 qualified
Show
| # | Player | Team | FOW | GP | Per game | FOL | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Ryan O'ReillyFBUF | BUF | 1,274 | 81 | 15.73 | 850 | 60.0% | 84%▲5 |
| 2 | Sidney CrosbyFPIT | PIT | 1,026 | 82 | 12.51 | 909 | 53.0% | 100%▲2.4 |
| 3 | Anze KopitarFLAK | LAK | 983 | 82 | 11.99 | 833 | 54.1% | 0.5% |
| 4 | John TavaresFNYI | NYI | 913 | 82 | 11.13 | 813 | 52.9% | 96%▲9.3 |
| 5 | Aleksander BarkovFFLA | FLA | 908 | 79 | 11.49 | 789 | 53.5% | 97%▲7 |
| 6 | Jonathan ToewsFCHI | CHI | 900 | 74 | 12.16 | 653 | 58.0% | 0.3% |
| 7 | Vincent TrocheckFFLA | FLA | 853 | 82 | 10.40 | 724 | 54.1% | 88%▼5.4 |
| 8 | Paul StastnyFSTL/WPG | STL/WPG | 832 | 82 | 10.15 | 683 | 54.9% | — |
| 9 | Ryan JohansenFNSH | NSH | 810 | 79 | 10.25 | 651 | 55.4% | — |
| 10 | Mikko KoivuFMIN | MIN | 809 | 82 | 9.87 | 766 | 51.4% | — |
| 11 | Tyler SeguinFDAL | DAL | 790 | 82 | 9.63 | 650 | 54.9% | 22%▲19 |
| 12 | Patrice BergeronFBOS | BOS | 784 | 64 | 12.25 | 584 | 57.3% | — |
| 13 | Jordan StaalFCAR | CAR | 757 | 79 | 9.58 | 581 | 56.6% | 20%▲13 |
| 14 | Derek StepanFARI | ARI | 740 | 82 | 9.02 | 810 | 47.7% | — |
| 15 | Bryan LittleFWPG | WPG | 732 | 82 | 8.93 | 574 | 56.0% | — |
| 16 | Matt DucheneFOTT/COL | OTT/COL | 717 | 82 | 8.74 | 637 | 53.0% | 62%▼17 |
| 17 | Bo HorvatFVAN | VAN | 712 | 64 | 11.13 | 612 | 53.8% | 90%▲1.2 |
| 18 | Sean MonahanFCGY | CGY | 709 | 74 | 9.58 | 698 | 50.4% | 19%▲13 |
| 19 | Mikael BacklundFCGY | CGY | 705 | 82 | 8.60 | 705 | 50.0% | 14%▲9.3 |
| 20 | Nicklas BackstromFWSH | WSH | 702 | 81 | 8.67 | 669 | 51.2% | — |
| 21 | Leon DraisaitlFEDM | EDM | 672 | 78 | 8.62 | 526 | 56.1% | 100% |
| 22 | Henrik ZetterbergFDET | DET | 666 | 82 | 8.12 | 709 | 48.4% | — |
| 23 | Brayden SchennFSTL | STL | 660 | 82 | 8.05 | 714 | 48.0% | 28%▲7.8 |
| 24 | Tomas PlekanecFMTL/TOR | MTL/TOR | 659 | 77 | 8.56 | 577 | 53.3% | — |
| 25 | Dylan LarkinFDET | DET | 656 | 82 | 8.00 | 658 | 49.9% | 96% |
| 26 | Mika ZibanejadFNYR | NYR | 654 | 72 | 9.08 | 633 | 50.8% | 98%▲1.4 |
| 27 | Claude GirouxFPHI | PHI | 638 | 82 | 7.78 | 450 | 58.6% | 30%▲20 |
| 28 | Tyler BozakFTOR | TOR | 627 | 81 | 7.74 | 542 | 53.6% | — |
| 29 | Antoine VermetteFANA | ANA | 609 | 64 | 9.52 | 406 | 60.0% | — |
| 30 | Mark ScheifeleFWPG | WPG | 594 | 60 | 9.90 | 565 | 51.3% | 99% |
| 31 | Tomas HertlFSJS | SJS | 587 | 79 | 7.43 | 569 | 50.8% | 84%▲3.2 |
| 32 | Christian DvorakFARI | ARI | 585 | 78 | 7.50 | 554 | 51.4% | 16%▲13 |
| 33 | Jay BeagleFWSH | WSH | 584 | 79 | 7.39 | 414 | 58.5% | — |
| 34 | Jean-Gabriel PageauFOTT | OTT | 580 | 78 | 7.44 | 553 | 51.2% | 12%▲11 |
| 35 | Eric StaalFMIN | MIN | 571 | 82 | 6.96 | 544 | 51.2% | — |
| 36 | Brandon SutterFVAN | VAN | 570 | 61 | 9.34 | 532 | 51.7% | — |
| 37 | Kevin HayesFNYR | NYR | 562 | 76 | 7.39 | 550 | 50.5% | 0.0% |
| 38 | Riley SheahanFPIT/DET | PIT/DET | 560 | 81 | 6.91 | 473 | 54.2% | — |
| 39 | Brayden PointFTBL | TBL | 557 | 82 | 6.79 | 617 | 47.4% | 95%▲7.5 |
| 40 | Travis ZajacFNJD | NJD | 557 | 63 | 8.84 | 537 | 50.9% | — |
| 41 | Radek FaksaFDAL | DAL | 556 | 79 | 7.04 | 521 | 51.6% | 0.1% |
| 42 | Nazem KadriFTOR | TOR | 546 | 80 | 6.83 | 547 | 50.0% | 71%▼9 |
| 43 | Brad RichardsonFARI | ARI | 543 | 76 | 7.14 | 500 | 52.1% | — |
| 44 | Derek RyanFCAR | CAR | 531 | 80 | 6.64 | 409 | 56.5% | — |
| 45 | Sean CouturierFPHI | PHI | 529 | 82 | 6.45 | 472 | 52.8% | 9.2%▲7.2 |
| 46 | Nick BoninoFNSH | NSH | 527 | 71 | 7.42 | 443 | 54.3% | — |
| 47 | Brandon DubinskyFCBJ | CBJ | 521 | 62 | 8.40 | 431 | 54.7% | — |
| 48 | Colton SissonsFNSH | NSH | 517 | 81 | 6.38 | 418 | 55.3% | 3.3%▲3.1 |
| 49 | Derick BrassardFOTT/PIT | OTT/PIT | 516 | 72 | 7.17 | 534 | 49.1% | — |
| 50 | Adam HenriqueFANA/NJD | ANA/NJD | 508 | 81 | 6.27 | 547 | 48.2% | 0.5% |
| 51 | Kyle BrodziakFSTL | STL | 504 | 81 | 6.22 | 463 | 52.1% | — |
| 52 | David KrejciFBOS | BOS | 502 | 64 | 7.84 | 465 | 51.9% | — |
| 53 | Joe PavelskiFSJS | SJS | 500 | 82 | 6.10 | 411 | 54.9% | — |
| 54 | Erik HaulaFVGK | VGK | 489 | 76 | 6.43 | 479 | 50.5% | 12%▲8.7 |
| 55 | Chris TierneyFSJS | SJS | 488 | 82 | 5.95 | 468 | 51.0% | — |
| 56 | Valtteri FilppulaFPHI | PHI | 487 | 81 | 6.01 | 463 | 51.3% | — |
| 57 | Nathan MacKinnonFCOL | COL | 485 | 74 | 6.55 | 672 | 41.9% | 100%▲0.9 |
| 58 | Frans NielsenFDET | DET | 483 | 79 | 6.11 | 558 | 46.4% | — |
| 59 | Cody EakinFVGK | VGK | 479 | 80 | 5.99 | 440 | 52.1% | — |
| 60 | Mark LetestuFEDM/CBJ | EDM/CBJ | 473 | 80 | 5.91 | 414 | 53.3% | — |
| 61 | Casey CizikasFNYI | NYI | 473 | 64 | 7.39 | 418 | 53.1% | 0.1% |
| 62 | Lars EllerFWSH | WSH | 471 | 81 | 5.81 | 485 | 49.3% | 0.2% |
| 63 | Steven StamkosFTBL | TBL | 466 | 78 | 5.97 | 426 | 52.2% | 94%▼4.2 |
| 64 | Pierre-Luc DuboisFCBJ | CBJ | 461 | 82 | 5.62 | 591 | 43.8% | 42%▲33 |
| 65 | Evgeni MalkinFPIT | PIT | 460 | 78 | 5.90 | 592 | 43.7% | 82%▲11 |
| 66 | Riley NashFBOS | BOS | 459 | 76 | 6.04 | 490 | 48.4% | — |
| 67 | Evgeny KuznetsovFWSH | WSH | 450 | 79 | 5.70 | 568 | 44.2% | — |
| 68 | Kyle TurrisFNSH/OTT | NSH/OTT | 449 | 76 | 5.91 | 423 | 51.5% | — |
| 69 | Jonathan DrouinFMTL | MTL | 447 | 77 | 5.81 | 604 | 42.5% | 0.5% |
| 70 | Henrik SedinFVAN | VAN | 438 | 82 | 5.34 | 504 | 46.5% | — |
| 71 | J.T. MillerFNYR/TBL | NYR/TBL | 437 | 82 | 5.33 | 368 | 54.3% | 92%▲7.7 |
| 72 | Elias LindholmFCAR | CAR | 432 | 81 | 5.33 | 361 | 54.5% | 43%▲4.7 |
| 73 | Carl SoderbergFCOL | COL | 425 | 77 | 5.52 | 514 | 45.3% | — |
| 74 | Nico HischierFNJD | NJD | 422 | 82 | 5.15 | 561 | 42.9% | 97%▲2.3 |
| 75 | Brian BoyleFNJD | NJD | 420 | 69 | 6.09 | 412 | 50.5% | — |
| 76 | Jason SpezzaFDAL | DAL | 417 | 78 | 5.35 | 330 | 55.8% | — |
| 77 | Artem AnisimovFCHI | CHI | 416 | 72 | 5.78 | 494 | 45.7% | — |
| 78 | Ryan GetzlafFANA | ANA | 406 | 56 | 7.25 | 443 | 47.8% | — |
| 79 | William KarlssonFVGK | VGK | 402 | 82 | 4.90 | 435 | 48.0% | 24%▲20 |
| 80 | Ryan KeslerFANA | ANA | 400 | 44 | 9.09 | 350 | 53.3% | — |
| 81 | Mark JankowskiFCGY | CGY | 395 | 72 | 5.49 | 415 | 48.8% | 0.2% |
| 82 | Luke GlendeningFDET | DET | 394 | 69 | 5.71 | 285 | 58.0% | 0.0% |
| 83 | Victor RaskFCAR | CAR | 393 | 71 | 5.54 | 323 | 54.9% | — |
| 84 | Brock NelsonFNYI | NYI | 389 | 82 | 4.74 | 416 | 48.3% | 88%▼3.6 |
| 85 | David DesharnaisFNYR | NYR | 386 | 71 | 5.44 | 315 | 55.1% | — |
| 86 | Jamie BennFDAL | DAL | 381 | 82 | 4.65 | 345 | 52.5% | 22%▲18 |
| 87 | Phillip DanaultFMTL | MTL | 380 | 52 | 7.31 | 340 | 52.8% | 4.9%▲4.5 |
| 88 | Connor McDavidFEDM | EDM | 376 | 82 | 4.59 | 533 | 41.4% | 100%▲1.5 |
| 89 | Nolan PatrickFPHI | PHI | 376 | 73 | 5.15 | 367 | 50.6% | — |
| 90 | Auston MatthewsFTOR | TOR | 375 | 62 | 6.05 | 313 | 54.5% | 99% |
| 91 | Adam LowryFWPG | WPG | 375 | 45 | 8.33 | 296 | 55.9% | 5.7%▲5.5 |
| 92 | Ryan Nugent-HopkinsFEDM | EDM | 374 | 62 | 6.03 | 393 | 48.8% | 77%▲15 |
| 93 | Tyler JohnsonFTBL | TBL | 360 | 81 | 4.44 | 359 | 50.1% | — |
| 94 | Nate ThompsonFOTT/LAK | OTT/LAK | 360 | 69 | 5.22 | 278 | 56.4% | — |
| 95 | Mathew BarzalFNYI | NYI | 355 | 82 | 4.33 | 479 | 42.6% | 84%▲11 |
| 96 | Matt CullenFMIN | MIN | 355 | 79 | 4.49 | 350 | 50.4% | — |
| 97 | Pierre-Edouard BellemareFVGK | VGK | 355 | 72 | 4.93 | 339 | 51.2% | — |
| 98 | Nicholas ShoreFLAK/CGY/OTT | LAK/CGY/OTT | 352 | 64 | 5.50 | 386 | 47.7% | — |
| 99 | Alexander WennbergFCBJ | CBJ | 350 | 66 | 5.30 | 424 | 45.2% | 25%▼1.6 |
| 100 | Johan LarssonFBUF | BUF | 348 | 80 | 4.35 | 291 | 54.5% | — |
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.