More skater stats
NHL Faceoffs Won Leaders
2021-22All 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 2021-22: Patrice Bergeron (BOS), 991 FOW.
Faceoffs Won leaderboard
1004 qualified
Show
| # | Player | Team | FOW | GP | Per game | FOL | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Patrice BergeronFBOS | BOS | 991 | 73 | 13.58 | 609 | 61.9% | — |
| 2 | Ryan O'ReillyFSTL | STL | 900 | 78 | 11.54 | 685 | 56.8% | 84%▲5 |
| 3 | Leon DraisaitlFEDM | EDM | 887 | 80 | 11.09 | 774 | 53.4% | 100% |
| 4 | Anze KopitarFLAK | LAK | 858 | 81 | 10.59 | 651 | 56.9% | 0.5% |
| 5 | Elias LindholmFCGY | CGY | 842 | 82 | 10.27 | 750 | 52.9% | 43%▲4.7 |
| 6 | Bo HorvatFVAN | VAN | 841 | 70 | 12.01 | 634 | 57.0% | 90%▲1.2 |
| 7 | John TavaresFTOR | TOR | 813 | 79 | 10.29 | 529 | 60.6% | 96%▲9.3 |
| 8 | Jonathan ToewsFCHI | CHI | 788 | 71 | 11.10 | 548 | 59.0% | 0.3% |
| 9 | Tomas HertlFSJS | SJS | 769 | 82 | 9.38 | 697 | 52.5% | 84%▲3.2 |
| 10 | Sidney CrosbyFPIT | PIT | 760 | 69 | 11.01 | 690 | 52.4% | 100%▲2.4 |
| 11 | Jean-Gabriel PageauFNYI | NYI | 748 | 77 | 9.71 | 604 | 55.3% | 12%▲11 |
| 12 | Jordan StaalFCAR | CAR | 736 | 78 | 9.44 | 549 | 57.3% | 20%▲13 |
| 13 | Claude GirouxFPHI/FLA | PHI/FLA | 733 | 75 | 9.77 | 483 | 60.3% | 30%▲20 |
| 14 | Nico HischierFNJD | NJD | 730 | 70 | 10.43 | 672 | 52.1% | 97%▲2.3 |
| 15 | Colton SissonsFNSH | NSH | 719 | 79 | 9.10 | 573 | 55.7% | 3.3%▲3.1 |
| 16 | Aleksander BarkovFFLA | FLA | 713 | 67 | 10.64 | 539 | 56.9% | 97%▲7 |
| 17 | Mika ZibanejadFNYR | NYR | 700 | 81 | 8.64 | 638 | 52.3% | 98%▲1.4 |
| 18 | Nick SuzukiFMTL | MTL | 699 | 82 | 8.52 | 711 | 49.6% | 100%▲0.5 |
| 19 | Joel Eriksson EkFMIN | MIN | 697 | 77 | 9.05 | 768 | 47.6% | 82%▲10 |
| 20 | Ryan JohansenFNSH | NSH | 691 | 79 | 8.75 | 622 | 52.6% | — |
| 21 | Auston MatthewsFTOR | TOR | 691 | 73 | 9.47 | 538 | 56.2% | 99% |
| 22 | Vincent TrocheckFCAR | CAR | 680 | 81 | 8.40 | 565 | 54.6% | 88%▼5.4 |
| 23 | Phillip DanaultFLAK | LAK | 676 | 79 | 8.56 | 586 | 53.6% | 4.9%▲4.5 |
| 24 | J.T. MillerFVAN | VAN | 667 | 80 | 8.34 | 566 | 54.1% | 92%▲7.7 |
| 25 | Chandler StephensonFVGK | VGK | 653 | 79 | 8.27 | 602 | 52.0% | 17%▲13 |
| 26 | Jeff CarterFPIT | PIT | 648 | 76 | 8.53 | 489 | 57.0% | — |
| 27 | Boone JennerFCBJ | CBJ | 642 | 59 | 10.88 | 556 | 53.6% | 21%▲16 |
| 28 | Dylan LarkinFDET | DET | 630 | 71 | 8.87 | 574 | 52.3% | 96% |
| 29 | Sean KuralyFCBJ | CBJ | 628 | 77 | 8.16 | 642 | 49.4% | 0.2% |
| 30 | Mikael BacklundFCGY | CGY | 621 | 82 | 7.57 | 608 | 50.5% | 14%▲9.3 |
| 31 | Logan CoutureFSJS | SJS | 621 | 77 | 8.06 | 654 | 48.7% | — |
| 32 | David KampfFTOR | TOR | 616 | 82 | 7.51 | 549 | 52.9% | 0.0% |
| 33 | Michael McLeodFNJD | NJD | 604 | 77 | 7.84 | 451 | 57.3% | — |
| 34 | Nazem KadriFCOL | COL | 585 | 71 | 8.24 | 592 | 49.7% | 71%▼9 |
| 35 | Mikael GranlundFNSH | NSH | 569 | 80 | 7.11 | 637 | 47.2% | 52%▼12 |
| 36 | Adam LowryFWPG | WPG | 564 | 79 | 7.14 | 500 | 53.0% | 5.7%▲5.5 |
| 37 | Connor McDavidFEDM | EDM | 562 | 80 | 7.03 | 484 | 53.7% | 100%▲1.5 |
| 38 | Robert ThomasFSTL | STL | 562 | 72 | 7.81 | 565 | 49.9% | 93%▲20 |
| 39 | Alexander WennbergFSEA | SEA | 555 | 80 | 6.94 | 635 | 46.6% | 25%▼1.6 |
| 40 | Sebastian AhoFCAR | CAR | 555 | 79 | 7.03 | 504 | 52.4% | 99%▲1.2 |
| 41 | Christian DvorakFMTL | MTL | 548 | 56 | 9.79 | 419 | 56.7% | 16%▲13 |
| 42 | Ryan GetzlafFANA | ANA | 546 | 56 | 9.75 | 479 | 53.3% | — |
| 43 | Steven StamkosFTBL | TBL | 545 | 81 | 6.73 | 523 | 51.0% | 94%▼4.2 |
| 44 | Charlie CoyleFBOS | BOS | 540 | 82 | 6.59 | 560 | 49.1% | 49%▼11 |
| 45 | Casey CizikasFNYI | NYI | 534 | 74 | 7.22 | 427 | 55.6% | 0.1% |
| 46 | Pierre-Luc DuboisFWPG | WPG | 532 | 81 | 6.57 | 603 | 46.9% | 42%▲33 |
| 47 | Josh NorrisFOTT | OTT | 529 | 66 | 8.02 | 507 | 51.1% | 39%▲32 |
| 48 | Ryan HartmanFMIN | MIN | 513 | 82 | 6.26 | 631 | 44.8% | 40%▼17 |
| 49 | Lars EllerFWSH | WSH | 510 | 72 | 7.08 | 521 | 49.5% | 0.2% |
| 50 | William KarlssonFVGK | VGK | 508 | 67 | 7.58 | 475 | 51.7% | 24%▲20 |
| 51 | Evgeny KuznetsovFWSH | WSH | 507 | 79 | 6.42 | 659 | 43.5% | — |
| 52 | Nic DowdFWSH | WSH | 506 | 64 | 7.91 | 437 | 53.7% | 3.2%▲3.1 |
| 53 | Pius SuterFDET | DET | 495 | 82 | 6.04 | 509 | 49.3% | 4.1%▲3.3 |
| 54 | Jamie BennFDAL | DAL | 492 | 82 | 6.00 | 399 | 55.2% | 22%▲18 |
| 55 | Pierre-Edouard BellemareFTBL | TBL | 483 | 80 | 6.04 | 452 | 51.7% | — |
| 56 | Cody EakinFBUF | BUF | 482 | 69 | 6.99 | 378 | 56.0% | — |
| 57 | Brock NelsonFNYI | NYI | 476 | 72 | 6.61 | 488 | 49.4% | 88%▼3.6 |
| 58 | Nick BoninoFSJS | SJS | 475 | 80 | 5.94 | 450 | 51.4% | — |
| 59 | Tyler SeguinFDAL | DAL | 464 | 81 | 5.73 | 364 | 56.0% | 22%▲19 |
| 60 | Frederick GaudreauFMIN | MIN | 461 | 76 | 6.07 | 461 | 50.0% | 0.2% |
| 61 | Jake EvansFMTL | MTL | 461 | 72 | 6.40 | 465 | 49.8% | 5.7%▲5.2 |
| 62 | Dylan StromeFCHI | CHI | 460 | 69 | 6.67 | 419 | 52.3% | 83%▲11 |
| 63 | Nicolas RoyFVGK | VGK | 454 | 78 | 5.82 | 477 | 48.8% | 4.9%▲4.7 |
| 64 | Yanni GourdeFSEA | SEA | 444 | 74 | 6.00 | 453 | 49.5% | 4.9%▲4 |
| 65 | Anthony CirelliFTBL | TBL | 441 | 76 | 5.80 | 507 | 46.5% | 51%▲19 |
| 66 | Erik HaulaFBOS | BOS | 434 | 78 | 5.56 | 372 | 53.8% | 12%▲8.7 |
| 67 | Mark ScheifeleFWPG | WPG | 430 | 67 | 6.42 | 418 | 50.7% | 99% |
| 68 | Nick PaulFOTT/TBL | OTT/TBL | 426 | 80 | 5.33 | 419 | 50.4% | 8.1%▲7.7 |
| 69 | Luke GlendeningFDAL | DAL | 425 | 82 | 5.18 | 299 | 58.7% | 0.0% |
| 70 | Travis BoydFARI | ARI | 420 | 74 | 5.68 | 507 | 45.3% | — |
| 71 | Barrett HaytonFARI | ARI | 415 | 60 | 6.92 | 447 | 48.1% | 11%▲11 |
| 72 | Sean MonahanFCGY | CGY | 414 | 65 | 6.37 | 365 | 53.1% | 19%▲13 |
| 73 | Sam BennettFFLA | FLA | 411 | 71 | 5.79 | 466 | 46.9% | 84%▲4.3 |
| 74 | Michael RasmussenFDET | DET | 410 | 80 | 5.13 | 409 | 50.1% | 0.1% |
| 75 | Scott LaughtonFPHI | PHI | 395 | 67 | 5.90 | 379 | 51.0% | 5.6%▲5.5 |
| 76 | Joe PavelskiFDAL | DAL | 394 | 82 | 4.80 | 357 | 52.5% | — |
| 77 | Tage ThompsonFBUF | BUF | 393 | 78 | 5.04 | 582 | 40.3% | 100%▲1.3 |
| 78 | Isac LundeströmFANA | ANA | 391 | 80 | 4.89 | 488 | 44.5% | 0.0% |
| 79 | Dylan CozensFBUF | BUF | 383 | 79 | 4.85 | 457 | 45.6% | 90%▲3.9 |
| 80 | Radek FaksaFDAL | DAL | 383 | 77 | 4.97 | 312 | 55.1% | 0.1% |
| 81 | Nathan MacKinnonFCOL | COL | 383 | 65 | 5.89 | 461 | 45.4% | 100%▲0.9 |
| 82 | Andrew CoppFWPG/NYR | WPG/NYR | 377 | 72 | 5.24 | 332 | 53.2% | 9.2%▲7.8 |
| 83 | Jack RoslovicFCBJ | CBJ | 372 | 81 | 4.59 | 483 | 43.5% | 34%▲26 |
| 84 | Barclay GoodrowFNYR | NYR | 366 | 79 | 4.63 | 375 | 49.4% | 0.1% |
| 85 | Brayden PointFTBL | TBL | 366 | 66 | 5.55 | 351 | 51.0% | 95%▲7.5 |
| 86 | Ryan StromeFNYR | NYR | 363 | 74 | 4.91 | 455 | 44.4% | 4.0%▲3.9 |
| 87 | Cole SillingerFCBJ | CBJ | 362 | 79 | 4.58 | 417 | 46.5% | 12%▲9.9 |
| 88 | Tomas NosekFBOS | BOS | 362 | 75 | 4.83 | 310 | 53.9% | — |
| 89 | Roope HintzFDAL | DAL | 357 | 80 | 4.46 | 317 | 53.0% | 84%▲7.1 |
| 90 | Teddy BluegerFPIT | PIT | 357 | 65 | 5.49 | 315 | 53.1% | 4.8%▲4.6 |
| 91 | Juho LammikkoFVAN | VAN | 354 | 75 | 4.72 | 340 | 51.0% | 0% |
| 92 | Morgan GeekieFSEA | SEA | 351 | 73 | 4.81 | 318 | 52.5% | 96%▲7.9 |
| 93 | J.T. CompherFCOL | COL | 338 | 70 | 4.83 | 319 | 51.4% | 4.0%▲3.9 |
| 94 | Anton LundellFFLA | FLA | 334 | 66 | 5.06 | 414 | 44.7% | 46%▲31 |
| 95 | Eetu LuostarinenFFLA | FLA | 321 | 78 | 4.12 | 481 | 40.0% | 12%▲10 |
| 96 | Blake LizotteFLAK | LAK | 313 | 70 | 4.47 | 294 | 51.6% | 0.1% |
| 97 | Nico SturmFMIN/COL | MIN/COL | 312 | 74 | 4.22 | 277 | 53.0% | 0.1% |
| 98 | Jason SpezzaFTOR | TOR | 305 | 71 | 4.30 | 272 | 52.9% | — |
| 99 | Ross ColtonFTBL | TBL | 303 | 79 | 3.84 | 278 | 52.2% | 8.1%▲7.8 |
| 100 | Nicklas BackstromFWSH | WSH | 301 | 47 | 6.40 | 348 | 46.4% | — |
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.