More skater stats
NHL Faceoffs Won Leaders
2023-24All 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 2023-24: Sidney Crosby (PIT), 1,090 FOW.
Faceoffs Won leaderboard
924 qualified
Show
| # | Player | Team | FOW | GP | Per game | FOL | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Sidney CrosbyFPIT | PIT | 1,090 | 82 | 13.29 | 782 | 58.2% | 100%▲2.4 |
| 2 | Vincent TrocheckFNYR | NYR | 881 | 82 | 10.74 | 619 | 58.7% | 88%▼5.4 |
| 3 | Robert ThomasFSTL | STL | 876 | 82 | 10.68 | 773 | 53.1% | 93%▲20 |
| 4 | Anze KopitarFLAK | LAK | 859 | 81 | 10.60 | 701 | 55.1% | 0.5% |
| 5 | Ryan O'ReillyFNSH | NSH | 828 | 82 | 10.10 | 708 | 53.9% | 84%▲5 |
| 6 | Leon DraisaitlFEDM | EDM | 826 | 81 | 10.20 | 625 | 56.9% | 100% |
| 7 | J.T. MillerFVAN | VAN | 823 | 81 | 10.16 | 638 | 56.3% | 92%▲7.7 |
| 8 | John TavaresFTOR | TOR | 802 | 80 | 10.03 | 550 | 59.3% | 96%▲9.3 |
| 9 | Jordan StaalFCAR | CAR | 799 | 80 | 9.99 | 576 | 58.1% | 20%▲13 |
| 10 | Joel Eriksson EkFMIN | MIN | 796 | 77 | 10.34 | 806 | 49.7% | 82%▲10 |
| 11 | Nico HischierFNJD | NJD | 785 | 71 | 11.06 | 602 | 56.6% | 97%▲2.3 |
| 12 | Mikael BacklundFCGY | CGY | 778 | 82 | 9.49 | 769 | 50.3% | 14%▲9.3 |
| 13 | Bo HorvatFNYI | NYI | 765 | 81 | 9.44 | 654 | 53.9% | 90%▲1.2 |
| 14 | Charlie CoyleFBOS | BOS | 762 | 82 | 9.29 | 715 | 51.6% | 49%▼11 |
| 15 | Elias LindholmFCGY/VAN | CGY/VAN | 753 | 75 | 10.04 | 583 | 56.4% | 43%▲4.7 |
| 16 | Dylan LarkinFDET | DET | 716 | 68 | 10.53 | 577 | 55.4% | 96% |
| 17 | Auston MatthewsFTOR | TOR | 705 | 81 | 8.70 | 614 | 53.4% | 99% |
| 18 | Sean MonahanFMTL/WPG | MTL/WPG | 698 | 83 | 8.41 | 574 | 54.9% | 19%▲13 |
| 19 | Dylan StromeFWSH | WSH | 697 | 82 | 8.50 | 623 | 52.8% | 83%▲11 |
| 20 | Sean CouturierFPHI | PHI | 692 | 74 | 9.35 | 602 | 53.5% | 9.2%▲7.2 |
| 21 | Nick SuzukiFMTL | MTL | 689 | 82 | 8.40 | 622 | 52.6% | 100%▲0.5 |
| 22 | Jean-Gabriel PageauFNYI | NYI | 679 | 82 | 8.28 | 546 | 55.4% | 12%▲11 |
| 23 | Adam LowryFWPG | WPG | 676 | 81 | 8.35 | 704 | 49.0% | 5.7%▲5.5 |
| 24 | Claude GirouxFOTT | OTT | 668 | 82 | 8.15 | 484 | 58.0% | 30%▲20 |
| 25 | Aleksander BarkovFFLA | FLA | 630 | 73 | 8.63 | 470 | 57.3% | 97%▲7 |
| 26 | Jason DickinsonFCHI | CHI | 618 | 82 | 7.54 | 618 | 50.0% | 3.2%▲3 |
| 27 | Colton SissonsFNSH | NSH | 618 | 81 | 7.63 | 558 | 52.6% | 3.3%▲3.1 |
| 28 | Nick BjugstadFARI | ARI | 617 | 76 | 8.12 | 636 | 49.2% | 0.1% |
| 29 | Nathan MacKinnonFCOL | COL | 607 | 82 | 7.40 | 707 | 46.2% | 100%▲0.9 |
| 30 | Boone JennerFCBJ | CBJ | 604 | 58 | 10.41 | 509 | 54.3% | 21%▲16 |
| 31 | Mark ScheifeleFWPG | WPG | 603 | 74 | 8.15 | 650 | 48.1% | 99% |
| 32 | Phillip DanaultFLAK | LAK | 600 | 78 | 7.69 | 557 | 51.9% | 4.9%▲4.5 |
| 33 | Jake EvansFMTL | MTL | 593 | 82 | 7.23 | 544 | 52.2% | 5.7%▲5.2 |
| 34 | Nazem KadriFCGY | CGY | 592 | 82 | 7.22 | 618 | 48.9% | 71%▼9 |
| 35 | Pavel ZachaFBOS | BOS | 585 | 78 | 7.50 | 483 | 54.8% | 78%▲13 |
| 36 | Adam HenriqueFANA/EDM | ANA/EDM | 577 | 82 | 7.04 | 506 | 53.3% | 0.5% |
| 37 | Sebastian AhoFCAR | CAR | 571 | 78 | 7.32 | 484 | 54.1% | 99%▲1.2 |
| 38 | Tomas HertlFSJS/VGK | SJS/VGK | 565 | 54 | 10.46 | 418 | 57.5% | 84%▲3.2 |
| 39 | Alexander WennbergFSEA/NYR | SEA/NYR | 552 | 79 | 6.99 | 636 | 46.5% | 25%▼1.6 |
| 40 | Chandler StephensonFVGK | VGK | 552 | 75 | 7.36 | 498 | 52.6% | 17%▲13 |
| 41 | Mika ZibanejadFNYR | NYR | 548 | 81 | 6.77 | 564 | 49.3% | 98%▲1.4 |
| 42 | William KarlssonFVGK | VGK | 547 | 70 | 7.81 | 426 | 56.2% | 24%▲20 |
| 43 | Andrew CoppFDET | DET | 536 | 79 | 6.78 | 465 | 53.5% | 9.2%▲7.8 |
| 44 | Nick PaulFTBL | TBL | 531 | 82 | 6.48 | 447 | 54.3% | 8.1%▲7.7 |
| 45 | Luke GlendeningFTBL | TBL | 531 | 81 | 6.56 | 417 | 56.0% | 0.0% |
| 46 | Casey MittelstadtFBUF/COL | BUF/COL | 529 | 80 | 6.61 | 595 | 47.1% | 14%▲12 |
| 47 | Matty BeniersFSEA | SEA | 527 | 77 | 6.84 | 584 | 47.4% | 50%▼1.5 |
| 48 | Dylan CozensFBUF | BUF | 522 | 79 | 6.61 | 624 | 45.5% | 90%▲3.9 |
| 49 | Yanni GourdeFSEA | SEA | 519 | 80 | 6.49 | 566 | 47.8% | 4.9%▲4 |
| 50 | Nico SturmFSJS | SJS | 497 | 63 | 7.89 | 330 | 60.1% | 0.1% |
| 51 | Nic DowdFWSH | WSH | 493 | 64 | 7.70 | 531 | 48.1% | 3.2%▲3.1 |
| 52 | Mikael GranlundFSJS | SJS | 492 | 69 | 7.13 | 560 | 46.8% | 52%▼12 |
| 53 | Erik HaulaFNJD | NJD | 489 | 76 | 6.43 | 403 | 54.8% | 12%▲8.7 |
| 54 | Lars EllerFPIT | PIT | 487 | 82 | 5.94 | 445 | 52.3% | 0.2% |
| 55 | Anton LundellFFLA | FLA | 482 | 78 | 6.18 | 396 | 54.9% | 46%▲31 |
| 56 | Scott LaughtonFPHI | PHI | 478 | 82 | 5.83 | 499 | 48.9% | 5.6%▲5.5 |
| 57 | Kevin HayesFSTL | STL | 478 | 79 | 6.05 | 360 | 57.0% | 0.0% |
| 58 | David KampfFTOR | TOR | 469 | 78 | 6.01 | 453 | 50.9% | 0.0% |
| 59 | J.T. CompherFDET | DET | 465 | 77 | 6.04 | 574 | 44.8% | 4.0%▲3.9 |
| 60 | Ryan PoehlingFPHI | PHI | 461 | 77 | 5.99 | 477 | 49.1% | 6.7%▲5.1 |
| 61 | Anthony CirelliFTBL | TBL | 460 | 79 | 5.82 | 475 | 49.2% | 51%▲19 |
| 62 | Brayden SchennFSTL | STL | 454 | 82 | 5.54 | 466 | 49.3% | 28%▲7.8 |
| 63 | Cole SillingerFCBJ | CBJ | 450 | 77 | 5.84 | 522 | 46.3% | 12%▲9.9 |
| 64 | Connor McDavidFEDM | EDM | 442 | 76 | 5.82 | 423 | 51.1% | 100%▲1.5 |
| 65 | Pierre-Luc DuboisFLAK | LAK | 440 | 82 | 5.37 | 446 | 49.7% | 42%▲33 |
| 66 | Mason McTavishFANA | ANA | 437 | 64 | 6.83 | 408 | 51.7% | 51%▲36 |
| 67 | Jamie BennFDAL | DAL | 436 | 82 | 5.32 | 276 | 61.2% | 22%▲18 |
| 68 | Ryan JohansenFCOL | COL | 431 | 63 | 6.84 | 380 | 53.1% | — |
| 69 | Kevin StenlundFFLA | FLA | 429 | 81 | 5.30 | 406 | 51.4% | 0.1% |
| 70 | Michael McLeodFNJD | NJD | 424 | 45 | 9.42 | 228 | 65.0% | — |
| 71 | Ross ColtonFCOL | COL | 423 | 80 | 5.29 | 397 | 51.6% | 8.1%▲7.8 |
| 72 | Sam CarrickFANA/EDM | ANA/EDM | 419 | 77 | 5.44 | 366 | 53.4% | 0.1% |
| 73 | Teddy BluegerFVAN | VAN | 415 | 68 | 6.10 | 366 | 53.1% | 4.8%▲4.6 |
| 74 | Jack EichelFVGK | VGK | 413 | 63 | 6.56 | 495 | 45.5% | 99%▲1.4 |
| 75 | Alexander KerfootFARI | ARI | 412 | 82 | 5.02 | 450 | 47.8% | 3.2%▲3.1 |
| 76 | Morgan FrostFPHI | PHI | 407 | 71 | 5.73 | 416 | 49.5% | 23%▲17 |
| 77 | Elias PetterssonFVAN | VAN | 406 | 82 | 4.95 | 393 | 50.8% | 87%▼5.5 |
| 78 | Sam BennettFFLA | FLA | 390 | 69 | 5.65 | 468 | 45.5% | 84%▲4.3 |
| 79 | Evgeni MalkinFPIT | PIT | 389 | 82 | 4.74 | 412 | 48.6% | 82%▲11 |
| 80 | Tage ThompsonFBUF | BUF | 372 | 71 | 5.24 | 487 | 43.3% | 100%▲1.3 |
| 81 | Ryan HartmanFMIN | MIN | 371 | 74 | 5.01 | 419 | 47.0% | 40%▼17 |
| 82 | Connor McMichaelFWSH | WSH | 370 | 80 | 4.63 | 502 | 42.4% | 34%▲27 |
| 83 | Jack DruryFCAR | CAR | 367 | 74 | 4.96 | 297 | 55.3% | 5.6%▲5.4 |
| 84 | Ryan McLeodFEDM | EDM | 365 | 81 | 4.51 | 353 | 50.8% | 26%▲20 |
| 85 | Matt DucheneFDAL | DAL | 360 | 80 | 4.50 | 277 | 56.5% | 62%▼17 |
| 86 | Nicolas RoyFVGK | VGK | 359 | 70 | 5.13 | 408 | 46.8% | 4.9%▲4.7 |
| 87 | Steven StamkosFTBL | TBL | 357 | 79 | 4.52 | 280 | 56.0% | 94%▼4.2 |
| 88 | Michael McCarronFNSH | NSH | 357 | 70 | 5.10 | 314 | 53.2% | 7.3%▲6.9 |
| 89 | Brock NelsonFNYI | NYI | 356 | 82 | 4.34 | 431 | 45.2% | 88%▼3.6 |
| 90 | Joe PavelskiFDAL | DAL | 355 | 82 | 4.33 | 340 | 51.1% | — |
| 91 | Casey CizikasFNYI | NYI | 345 | 70 | 4.93 | 301 | 53.4% | 0.1% |
| 92 | Tyler SeguinFDAL | DAL | 342 | 68 | 5.03 | 266 | 56.3% | 22%▲19 |
| 93 | Barclay GoodrowFNYR | NYR | 337 | 80 | 4.21 | 287 | 54.0% | 0.1% |
| 94 | Evgeny KuznetsovFWSH/CAR | WSH/CAR | 336 | 63 | 5.33 | 411 | 45.0% | — |
| 95 | Marco RossiFMIN | MIN | 335 | 82 | 4.09 | 414 | 44.7% | 60%▲14 |
| 96 | Jesperi KotkaniemiFCAR | CAR | 333 | 79 | 4.22 | 313 | 51.5% | 3.2%▲3.1 |
| 97 | Josh NorrisFOTT | OTT | 328 | 50 | 6.56 | 301 | 52.1% | 39%▲32 |
| 98 | Wyatt JohnstonFDAL | DAL | 318 | 82 | 3.88 | 316 | 50.2% | 100%▲0.9 |
| 99 | Roope HintzFDAL | DAL | 318 | 80 | 3.98 | 248 | 56.2% | 84%▲7.1 |
| 100 | Noel AcciariFPIT | PIT | 313 | 55 | 5.69 | 261 | 54.5% | 3.3%▲3.1 |
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.