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NHL Faceoffs Won Leaders
2025-26All 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 2025-26: Nico Hischier (NJD), 1,008 FOW.
Faceoffs Won leaderboard
940 qualified
Show
| # | Player | Team | FOW | GP | Per game | FOL | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Nico HischierFNJD | NJD | 1,008 | 82 | 12.29 | 800 | 55.8% | 97%▲2.3 |
| 2 | Jordan StaalFCAR | CAR | 839 | 75 | 11.19 | 673 | 55.5% | 20%▲13 |
| 3 | John TavaresFTOR | TOR | 801 | 82 | 9.77 | 591 | 57.5% | 96%▲9.3 |
| 4 | Dylan LarkinFDET | DET | 789 | 74 | 10.66 | 703 | 52.9% | 96% |
| 5 | Dylan StromeFWSH | WSH | 777 | 80 | 9.71 | 557 | 58.2% | 83%▲11 |
| 6 | Sidney CrosbyFPIT | PIT | 773 | 68 | 11.37 | 628 | 55.2% | 100%▲2.4 |
| 7 | Chandler StephensonFSEA | SEA | 759 | 80 | 9.49 | 698 | 52.1% | 17%▲13 |
| 8 | Anze KopitarFLAK | LAK | 744 | 67 | 11.10 | 563 | 56.9% | 0.5% |
| 9 | Ryan O'ReillyFNSH | NSH | 739 | 81 | 9.12 | 603 | 55.1% | 84%▲5 |
| 10 | Brock NelsonFCOL | COL | 735 | 81 | 9.07 | 724 | 50.4% | 88%▼3.6 |
| 11 | Nick SuzukiFMTL | MTL | 731 | 82 | 8.91 | 718 | 50.4% | 100%▲0.5 |
| 12 | Mikael BacklundFCGY | CGY | 720 | 82 | 8.78 | 721 | 50.0% | 14%▲9.3 |
| 13 | Tomas HertlFVGK | VGK | 720 | 82 | 8.78 | 525 | 57.8% | 84%▲3.2 |
| 14 | Bo HorvatFNYI | NYI | 690 | 68 | 10.15 | 536 | 56.3% | 90%▲1.2 |
| 15 | Nathan MacKinnonFCOL | COL | 681 | 80 | 8.51 | 653 | 51.0% | 100%▲0.9 |
| 16 | Joel Eriksson EkFMIN | MIN | 681 | 70 | 9.73 | 709 | 49.0% | 82%▲10 |
| 17 | Elias LindholmFBOS | BOS | 660 | 69 | 9.57 | 517 | 56.1% | 43%▲4.7 |
| 18 | Alexander WennbergFSJS | SJS | 655 | 80 | 8.19 | 745 | 46.8% | 25%▼1.6 |
| 19 | Jean-Gabriel PageauFNYI | NYI | 653 | 74 | 8.82 | 452 | 59.1% | 12%▲11 |
| 20 | Elias PetterssonFVAN | VAN | 642 | 74 | 8.68 | 711 | 47.5% | 87%▼5.5 |
| 21 | Sean MonahanFCBJ | CBJ | 638 | 78 | 8.18 | 582 | 52.3% | 19%▲13 |
| 22 | Jonathan ToewsFWPG | WPG | 637 | 82 | 7.77 | 389 | 62.1% | 0.3% |
| 23 | Sean CouturierFPHI | PHI | 632 | 78 | 8.10 | 534 | 54.2% | 9.2%▲7.2 |
| 24 | Christian DvorakFPHI | PHI | 629 | 80 | 7.86 | 525 | 54.5% | 16%▲13 |
| 25 | Leon DraisaitlFEDM | EDM | 628 | 65 | 9.66 | 475 | 56.9% | 100% |
| 26 | Charlie CoyleFCBJ | CBJ | 626 | 82 | 7.63 | 608 | 50.7% | 49%▼11 |
| 27 | Macklin CelebriniFSJS | SJS | 625 | 82 | 7.62 | 660 | 48.6% | 100%▲1 |
| 28 | Vincent TrocheckFNYR | NYR | 625 | 67 | 9.33 | 474 | 56.9% | 88%▼5.4 |
| 29 | Kevin StenlundFUTA | UTA | 618 | 80 | 7.72 | 523 | 54.2% | 0.1% |
| 30 | Ryan McLeodFBUF | BUF | 612 | 81 | 7.56 | 672 | 47.7% | 26%▲20 |
| 31 | Morgan FrostFCGY | CGY | 601 | 82 | 7.33 | 457 | 56.8% | 23%▲17 |
| 32 | Sebastian AhoFCAR | CAR | 596 | 79 | 7.54 | 585 | 50.5% | 99%▲1.2 |
| 33 | Mark ScheifeleFWPG | WPG | 594 | 82 | 7.24 | 679 | 46.7% | 99% |
| 34 | Anton LundellFFLA | FLA | 580 | 64 | 9.06 | 540 | 51.8% | 46%▲31 |
| 35 | Auston MatthewsFTOR | TOR | 580 | 60 | 9.67 | 392 | 59.7% | 99% |
| 36 | Mika ZibanejadFNYR | NYR | 574 | 81 | 7.09 | 520 | 52.5% | 98%▲1.4 |
| 37 | Jack DruryFCOL | COL | 563 | 82 | 6.87 | 406 | 58.1% | 5.6%▲5.4 |
| 38 | Jack EichelFVGK | VGK | 558 | 74 | 7.54 | 613 | 47.7% | 99%▲1.4 |
| 39 | Adam FantilliFCBJ | CBJ | 552 | 82 | 6.73 | 556 | 49.8% | 92%▲10 |
| 40 | J.T. MillerFNYR | NYR | 547 | 68 | 8.04 | 343 | 61.5% | 92%▲7.7 |
| 41 | Robert ThomasFSTL | STL | 547 | 64 | 8.55 | 495 | 52.5% | 93%▲20 |
| 42 | Phillip DanaultFMTL/LAK | MTL/LAK | 543 | 75 | 7.24 | 448 | 54.8% | 4.9%▲4.5 |
| 43 | Andrew CoppFDET | DET | 537 | 79 | 6.80 | 453 | 54.2% | 9.2%▲7.8 |
| 44 | Pavel ZachaFBOS | BOS | 524 | 78 | 6.72 | 459 | 53.3% | 78%▲13 |
| 45 | Michael McCarronFNSH/MIN | NSH/MIN | 522 | 79 | 6.61 | 472 | 52.5% | 7.3%▲6.9 |
| 46 | Adam LowryFWPG | WPG | 522 | 70 | 7.46 | 429 | 54.9% | 5.7%▲5.5 |
| 47 | J.T. CompherFDET | DET | 520 | 82 | 6.34 | 502 | 50.9% | 4.0%▲3.9 |
| 48 | Anthony CirelliFTBL | TBL | 518 | 71 | 7.30 | 557 | 48.2% | 51%▲19 |
| 49 | Sam BennettFFLA | FLA | 517 | 76 | 6.80 | 570 | 47.6% | 84%▲4.3 |
| 50 | Matty BeniersFSEA | SEA | 515 | 82 | 6.28 | 557 | 48.0% | 50%▼1.5 |
| 51 | Quinton ByfieldFLAK | LAK | 508 | 79 | 6.43 | 609 | 45.5% | 86%▲18 |
| 52 | Claude GirouxFOTT | OTT | 504 | 82 | 6.15 | 295 | 63.1% | 30%▲20 |
| 53 | Ryan PoehlingFANA | ANA | 498 | 75 | 6.64 | 530 | 48.4% | 6.7%▲5.1 |
| 54 | Erik HaulaFNSH | NSH | 494 | 81 | 6.10 | 511 | 49.2% | 12%▲8.7 |
| 55 | Ryan HartmanFMIN | MIN | 492 | 76 | 6.47 | 593 | 45.3% | 40%▼17 |
| 56 | Cody GlassFNJD | NJD | 484 | 70 | 6.91 | 412 | 54.0% | 4.9%▲4.5 |
| 57 | Nic DowdFWSH/VGK | WSH/VGK | 476 | 75 | 6.35 | 492 | 49.2% | 3.2%▲3.1 |
| 58 | Jake EvansFMTL | MTL | 472 | 68 | 6.94 | 373 | 55.9% | 5.7%▲5.2 |
| 59 | Aatu RätyFVAN | VAN | 470 | 66 | 7.12 | 307 | 60.5% | 10%▲10 |
| 60 | Noah CatesFPHI | PHI | 467 | 82 | 5.70 | 563 | 45.3% | 18%▲15 |
| 61 | Nazem KadriFCGY/COL | CGY/COL | 464 | 77 | 6.03 | 525 | 46.9% | 71%▼9 |
| 62 | Connor McDavidFEDM | EDM | 457 | 82 | 5.57 | 466 | 49.5% | 100%▲1.5 |
| 63 | Brayden SchennFSTL/NYI | STL/NYI | 456 | 80 | 5.70 | 387 | 54.1% | 28%▲7.8 |
| 64 | Nick SchmaltzFUTA | UTA | 448 | 82 | 5.46 | 526 | 46.0% | 94%▲4.4 |
| 65 | Scott LaughtonFTOR/LAK | TOR/LAK | 443 | 64 | 6.92 | 325 | 57.7% | 5.6%▲5.5 |
| 66 | Jason DickinsonFCHI/EDM | CHI/EDM | 438 | 64 | 6.84 | 450 | 49.3% | 3.2%▲3 |
| 67 | Dylan CozensFOTT | OTT | 435 | 82 | 5.30 | 383 | 53.2% | 90%▲3.9 |
| 68 | Leo CarlssonFANA | ANA | 433 | 70 | 6.19 | 543 | 44.4% | 94%▲11 |
| 69 | Roope HintzFDAL | DAL | 430 | 53 | 8.11 | 297 | 59.1% | 84%▲7.1 |
| 70 | Fraser MintenFBOS | BOS | 414 | 82 | 5.05 | 425 | 49.3% | 47%▲38 |
| 71 | Logan StankovenFCAR | CAR | 409 | 81 | 5.05 | 514 | 44.3% | 67%▲42 |
| 72 | Barrett HaytonFUTA | UTA | 409 | 67 | 6.10 | 368 | 52.6% | 11%▲11 |
| 73 | Wyatt JohnstonFDAL | DAL | 402 | 82 | 4.90 | 442 | 47.6% | 100%▲0.9 |
| 74 | Frank NazarFCHI | CHI | 401 | 66 | 6.08 | 445 | 47.4% | 54%▲34 |
| 75 | Yanni GourdeFTBL | TBL | 396 | 82 | 4.83 | 485 | 44.9% | 4.9%▲4 |
| 76 | Shane PintoFOTT | OTT | 396 | 72 | 5.50 | 368 | 51.8% | 37%▲22 |
| 77 | Tage ThompsonFBUF | BUF | 390 | 81 | 4.81 | 468 | 45.5% | 100%▲1.3 |
| 78 | Mikael GranlundFANA | ANA | 381 | 58 | 6.57 | 385 | 49.7% | 52%▼12 |
| 79 | Nicolas RoyFTOR/COL | TOR/COL | 377 | 74 | 5.09 | 344 | 52.3% | 4.9%▲4.7 |
| 80 | Mason McTavishFANA | ANA | 373 | 75 | 4.97 | 395 | 48.6% | 51%▲36 |
| 81 | Evan RodriguesFFLA | FLA | 372 | 69 | 5.39 | 419 | 47.0% | 8.3%▲6.5 |
| 82 | Mark JankowskiFCAR | CAR | 361 | 68 | 5.31 | 342 | 51.4% | 0.2% |
| 83 | Casey CizikasFNYI | NYI | 351 | 81 | 4.33 | 291 | 54.7% | 0.1% |
| 84 | Colton SissonsFVGK | VGK | 347 | 66 | 5.26 | 267 | 56.5% | 3.3%▲3.1 |
| 85 | Mark KastelicFBOS | BOS | 343 | 82 | 4.18 | 221 | 60.8% | 13%▲12 |
| 86 | Luke GlendeningFNJD/PHI | NJD/PHI | 343 | 70 | 4.90 | 306 | 52.9% | 0.0% |
| 87 | Ryan GreeneFCHI | CHI | 340 | 81 | 4.20 | 456 | 42.7% | 10%▲10 |
| 88 | Sean KuralyFBOS | BOS | 338 | 82 | 4.12 | 324 | 51.1% | 0.2% |
| 89 | Tim StützleFOTT | OTT | 338 | 80 | 4.22 | 300 | 53.0% | 99%▲0.8 |
| 90 | Dalibor DvorskyFSTL | STL | 335 | 71 | 4.72 | 394 | 46.0% | 28%▲28 |
| 91 | Lars EllerFOTT | OTT | 332 | 68 | 4.88 | 283 | 54.0% | 0.2% |
| 92 | Noah LabaFNYR | NYR | 331 | 74 | 4.47 | 321 | 50.8% | 11%▲11 |
| 93 | Jack McBainFUTA | UTA | 329 | 75 | 4.39 | 312 | 51.3% | 17%▲15 |
| 94 | Adam HenriqueFEDM | EDM | 327 | 65 | 5.03 | 278 | 54.0% | 0.5% |
| 95 | Steven StamkosFNSH | NSH | 323 | 82 | 3.94 | 237 | 57.7% | 94%▼4.2 |
| 96 | Justin SourdifFWSH | WSH | 316 | 78 | 4.05 | 372 | 45.9% | 17%▲16 |
| 97 | Connor BedardFCHI | CHI | 315 | 69 | 4.57 | 354 | 47.1% | 98%▲3.6 |
| 98 | Noel AcciariFPIT | PIT | 309 | 67 | 4.61 | 285 | 52.0% | 3.3%▲3.1 |
| 99 | Oliver KapanenFMTL | MTL | 306 | 82 | 3.73 | 366 | 45.5% | 29%▲25 |
| 100 | Nick PaulFTBL | TBL | 300 | 51 | 5.88 | 257 | 53.9% | 8.1%▲7.7 |
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.