More skater stats
NHL Faceoffs Won Leaders
2022-23All 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 2022-23: Patrice Bergeron (BOS), 1,043 FOW.
Faceoffs Won leaderboard
951 qualified
Show
| # | Player | Team | FOW | GP | Per game | FOL | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Patrice BergeronFBOS | BOS | 1,043 | 78 | 13.37 | 663 | 61.1% | — |
| 2 | Sidney CrosbyFPIT | PIT | 978 | 82 | 11.93 | 868 | 53.0% | 100%▲2.4 |
| 3 | Bo HorvatFVAN/NYI | VAN/NYI | 958 | 79 | 12.13 | 727 | 56.9% | 90%▲1.2 |
| 4 | Anze KopitarFLAK | LAK | 899 | 82 | 10.96 | 709 | 55.9% | 0.5% |
| 5 | Nico HischierFNJD | NJD | 891 | 81 | 11.00 | 763 | 53.9% | 97%▲2.3 |
| 6 | Elias LindholmFCGY | CGY | 857 | 80 | 10.71 | 681 | 55.7% | 43%▲4.7 |
| 7 | Jordan StaalFCAR | CAR | 821 | 81 | 10.14 | 653 | 55.7% | 20%▲13 |
| 8 | J.T. CompherFCOL | COL | 813 | 82 | 9.91 | 852 | 48.8% | 4.0%▲3.9 |
| 9 | Leon DraisaitlFEDM | EDM | 807 | 80 | 10.09 | 663 | 54.9% | 100% |
| 10 | Tomas HertlFSJS | SJS | 792 | 79 | 10.03 | 653 | 54.8% | 84%▲3.2 |
| 11 | Boone JennerFCBJ | CBJ | 758 | 68 | 11.15 | 628 | 54.7% | 21%▲16 |
| 12 | Dylan LarkinFDET | DET | 737 | 80 | 9.21 | 618 | 54.4% | 96% |
| 13 | Aleksander BarkovFFLA | FLA | 731 | 68 | 10.75 | 601 | 54.9% | 97%▲7 |
| 14 | John TavaresFTOR | TOR | 726 | 80 | 9.07 | 519 | 58.3% | 96%▲9.3 |
| 15 | Vincent TrocheckFNYR | NYR | 721 | 82 | 8.79 | 565 | 56.1% | 88%▼5.4 |
| 16 | Jean-Gabriel PageauFNYI | NYI | 719 | 70 | 10.27 | 537 | 57.2% | 12%▲11 |
| 17 | Claude GirouxFOTT | OTT | 712 | 82 | 8.68 | 509 | 58.3% | 30%▲20 |
| 18 | Mikael BacklundFCGY | CGY | 705 | 82 | 8.60 | 681 | 50.9% | 14%▲9.3 |
| 19 | Mika ZibanejadFNYR | NYR | 692 | 82 | 8.44 | 706 | 49.5% | 98%▲1.4 |
| 20 | Phillip DanaultFLAK | LAK | 692 | 82 | 8.44 | 581 | 54.4% | 4.9%▲4.5 |
| 21 | Joel Eriksson EkFMIN | MIN | 684 | 78 | 8.77 | 702 | 49.4% | 82%▲10 |
| 22 | Chandler StephensonFVGK | VGK | 675 | 81 | 8.33 | 487 | 58.1% | 17%▲13 |
| 23 | Nick SuzukiFMTL | MTL | 663 | 82 | 8.09 | 738 | 47.3% | 100%▲0.5 |
| 24 | Andrew CoppFDET | DET | 647 | 82 | 7.89 | 652 | 49.8% | 9.2%▲7.8 |
| 25 | Robert ThomasFSTL | STL | 646 | 73 | 8.85 | 575 | 52.9% | 93%▲20 |
| 26 | Logan CoutureFSJS | SJS | 640 | 82 | 7.80 | 709 | 47.4% | — |
| 27 | William KarlssonFVGK | VGK | 632 | 82 | 7.71 | 510 | 55.3% | 24%▲20 |
| 28 | Barrett HaytonFARI | ARI | 628 | 82 | 7.66 | 602 | 51.1% | 11%▲11 |
| 29 | Alexander WennbergFSEA | SEA | 627 | 82 | 7.65 | 748 | 45.6% | 25%▼1.6 |
| 30 | Adam LowryFWPG | WPG | 595 | 82 | 7.26 | 585 | 50.4% | 5.7%▲5.5 |
| 31 | Jonathan ToewsFCHI | CHI | 594 | 53 | 11.21 | 347 | 63.1% | 0.3% |
| 32 | Colton SissonsFNSH | NSH | 593 | 82 | 7.23 | 515 | 53.5% | 3.3%▲3.1 |
| 33 | David KampfFTOR | TOR | 591 | 82 | 7.21 | 556 | 51.5% | 0.0% |
| 34 | Michael McLeodFNJD | NJD | 587 | 80 | 7.34 | 381 | 60.6% | — |
| 35 | Nazem KadriFCGY | CGY | 586 | 82 | 7.15 | 648 | 47.5% | 71%▼9 |
| 36 | Mark ScheifeleFWPG | WPG | 579 | 81 | 7.15 | 628 | 48.0% | 99% |
| 37 | Erik HaulaFNJD | NJD | 573 | 80 | 7.16 | 484 | 54.2% | 12%▲8.7 |
| 38 | Dylan CozensFBUF | BUF | 567 | 81 | 7.00 | 607 | 48.3% | 90%▲3.9 |
| 39 | Sean KuralyFCBJ | CBJ | 567 | 71 | 7.99 | 575 | 49.6% | 0.2% |
| 40 | Jeff CarterFPIT | PIT | 557 | 79 | 7.05 | 381 | 59.4% | — |
| 41 | Auston MatthewsFTOR | TOR | 550 | 74 | 7.43 | 499 | 52.4% | 99% |
| 42 | Lars EllerFWSH/COL | WSH/COL | 549 | 84 | 6.54 | 474 | 53.7% | 0.2% |
| 43 | Charlie CoyleFBOS | BOS | 536 | 82 | 6.54 | 483 | 52.6% | 49%▼11 |
| 44 | Sebastian AhoFCAR | CAR | 531 | 75 | 7.08 | 503 | 51.4% | 99%▲1.2 |
| 45 | Nick BjugstadFARI/EDM | ARI/EDM | 530 | 78 | 6.79 | 578 | 47.8% | 0.1% |
| 46 | Dylan StromeFWSH | WSH | 528 | 81 | 6.52 | 554 | 48.8% | 83%▲11 |
| 47 | Connor McDavidFEDM | EDM | 525 | 82 | 6.40 | 486 | 51.9% | 100%▲1.5 |
| 48 | Jamie BennFDAL | DAL | 520 | 82 | 6.34 | 345 | 60.1% | 22%▲18 |
| 49 | Nathan MacKinnonFCOL | COL | 519 | 71 | 7.31 | 649 | 44.4% | 100%▲0.9 |
| 50 | Max DomiFCHI/DAL | CHI/DAL | 510 | 80 | 6.38 | 440 | 53.7% | 5.8%▲4.6 |
| 51 | Scott LaughtonFPHI | PHI | 509 | 78 | 6.53 | 568 | 47.3% | 5.6%▲5.5 |
| 52 | Evgeny KuznetsovFWSH | WSH | 508 | 81 | 6.27 | 561 | 47.5% | — |
| 53 | Travis BoydFARI | ARI | 502 | 82 | 6.12 | 654 | 43.4% | — |
| 54 | Ryan JohansenFNSH | NSH | 502 | 55 | 9.13 | 346 | 59.2% | — |
| 55 | Steven StamkosFTBL | TBL | 501 | 81 | 6.19 | 430 | 53.8% | 94%▼4.2 |
| 56 | Casey CizikasFNYI | NYI | 501 | 81 | 6.19 | 438 | 53.4% | 0.1% |
| 57 | Frederick GaudreauFMIN | MIN | 500 | 82 | 6.10 | 515 | 49.3% | 0.2% |
| 58 | Ryan O'ReillyFSTL/TOR | STL/TOR | 499 | 53 | 9.42 | 396 | 55.8% | 84%▲5 |
| 59 | Nick PaulFTBL | TBL | 495 | 80 | 6.19 | 426 | 53.7% | 8.1%▲7.7 |
| 60 | Nico SturmFSJS | SJS | 491 | 74 | 6.64 | 389 | 55.8% | 0.1% |
| 61 | Brock NelsonFNYI | NYI | 490 | 82 | 5.98 | 547 | 47.3% | 88%▼3.6 |
| 62 | J.T. MillerFVAN | VAN | 487 | 81 | 6.01 | 399 | 55.0% | 92%▲7.7 |
| 63 | Yanni GourdeFSEA | SEA | 483 | 81 | 5.96 | 489 | 49.7% | 4.9%▲4 |
| 64 | Pierre-Luc DuboisFWPG | WPG | 483 | 73 | 6.62 | 505 | 48.9% | 42%▲33 |
| 65 | Christian DvorakFMTL | MTL | 477 | 64 | 7.45 | 440 | 52.0% | 16%▲13 |
| 66 | Tyler SeguinFDAL | DAL | 476 | 76 | 6.26 | 394 | 54.7% | 22%▲19 |
| 67 | Brayden SchennFSTL | STL | 472 | 82 | 5.76 | 542 | 46.5% | 28%▲7.8 |
| 68 | Shane PintoFOTT | OTT | 449 | 82 | 5.48 | 413 | 52.1% | 37%▲22 |
| 69 | Elias PetterssonFVAN | VAN | 442 | 80 | 5.53 | 555 | 44.3% | 87%▼5.5 |
| 70 | Morgan FrostFPHI | PHI | 436 | 81 | 5.38 | 515 | 45.8% | 23%▲17 |
| 71 | Nic DowdFWSH | WSH | 433 | 65 | 6.66 | 419 | 50.8% | 3.2%▲3.1 |
| 72 | Anthony CirelliFTBL | TBL | 427 | 58 | 7.36 | 404 | 51.4% | 51%▲19 |
| 73 | Sam BennettFFLA | FLA | 425 | 63 | 6.75 | 479 | 47.0% | 84%▲4.3 |
| 74 | Evgeni MalkinFPIT | PIT | 422 | 82 | 5.15 | 434 | 49.3% | 82%▲11 |
| 75 | Brayden PointFTBL | TBL | 417 | 82 | 5.09 | 405 | 50.7% | 95%▲7.5 |
| 76 | Noah CatesFPHI | PHI | 416 | 82 | 5.07 | 638 | 39.5% | 18%▲15 |
| 77 | Blake LizotteFLAK | LAK | 413 | 81 | 5.10 | 394 | 51.2% | 0.1% |
| 78 | Matty BeniersFSEA | SEA | 409 | 80 | 5.11 | 560 | 42.2% | 50%▼1.5 |
| 79 | Ryan StromeFANA | ANA | 402 | 82 | 4.90 | 516 | 43.8% | 4.0%▲3.9 |
| 80 | Jack RoslovicFCBJ | CBJ | 400 | 77 | 5.19 | 489 | 45.0% | 34%▲26 |
| 81 | Brady TkachukFOTT | OTT | 370 | 82 | 4.51 | 395 | 48.4% | 100%▲2 |
| 82 | Jack McBainFARI | ARI | 370 | 82 | 4.51 | 470 | 44.0% | 17%▲15 |
| 83 | Nicolas RoyFVGK | VGK | 369 | 65 | 5.68 | 399 | 48.0% | 4.9%▲4.7 |
| 84 | Joe PavelskiFDAL | DAL | 368 | 82 | 4.49 | 321 | 53.4% | — |
| 85 | Jason DickinsonFCHI | CHI | 368 | 78 | 4.72 | 403 | 47.7% | 3.2%▲3 |
| 86 | Cody GlassFNSH | NSH | 362 | 72 | 5.03 | 365 | 49.8% | 4.9%▲4.5 |
| 87 | Jesperi KotkaniemiFCAR | CAR | 360 | 82 | 4.39 | 340 | 51.4% | 3.2%▲3.1 |
| 88 | Luke GlendeningFDAL | DAL | 359 | 70 | 5.13 | 249 | 59.0% | 0.0% |
| 89 | Jack EichelFVGK | VGK | 359 | 67 | 5.36 | 434 | 45.3% | 99%▲1.4 |
| 90 | Tomas NosekFBOS | BOS | 354 | 66 | 5.36 | 243 | 59.3% | — |
| 91 | David KrejciFBOS | BOS | 351 | 70 | 5.01 | 389 | 47.4% | — |
| 92 | Tage ThompsonFBUF | BUF | 350 | 78 | 4.49 | 463 | 43.1% | 100%▲1.3 |
| 93 | Eric StaalFFLA | FLA | 343 | 72 | 4.76 | 400 | 46.2% | — |
| 94 | Adam HenriqueFANA | ANA | 342 | 62 | 5.52 | 327 | 51.1% | 0.5% |
| 95 | Casey MittelstadtFBUF | BUF | 338 | 82 | 4.12 | 398 | 45.9% | 14%▲12 |
| 96 | Jake EvansFMTL | MTL | 338 | 54 | 6.26 | 312 | 52.0% | 5.7%▲5.2 |
| 97 | Noel AcciariFSTL/TOR | STL/TOR | 337 | 77 | 4.38 | 289 | 53.8% | 3.3%▲3.1 |
| 98 | Mark KastelicFOTT | OTT | 336 | 65 | 5.17 | 254 | 56.9% | 13%▲12 |
| 99 | Kevin HayesFPHI | PHI | 334 | 81 | 4.12 | 342 | 49.4% | 0.0% |
| 100 | Pierre-Edouard BellemareFTBL | TBL | 322 | 73 | 4.41 | 294 | 52.3% | — |
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.