More skater stats
NHL Faceoffs Lost Leaders
2023-24All situationsThrough 82 team games
This board ranks every NHL skater by faceoffs lost, regular season only. Pick any season back to 2017-18 above the table.
Faceoffs lost counts every draw a player loses. Because volume drives it, busy centres lead this board as well as the faceoffs won board. A few leagues score FOL as a negative. It mostly measures how many draws a centre takes; read it next to faceoff percentage.
Leader in 2023-24: Joel Eriksson Ek (MIN), 806 FOL.
Faceoffs Lost leaderboard
924 qualified
Show
| # | Player | Team | FOL | GP | Per game | FOW | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Joel Eriksson EkFMIN | MIN | 806 | 77 | 10.47 | 796 | 49.7% | 82%▲10 |
| 2 | Sidney CrosbyFPIT | PIT | 782 | 82 | 9.54 | 1,090 | 58.2% | 100%▲2.4 |
| 3 | Robert ThomasFSTL | STL | 773 | 82 | 9.43 | 876 | 53.1% | 93%▲20 |
| 4 | Mikael BacklundFCGY | CGY | 769 | 82 | 9.38 | 778 | 50.3% | 14%▲9.3 |
| 5 | Charlie CoyleFBOS | BOS | 715 | 82 | 8.72 | 762 | 51.6% | 49%▼11 |
| 6 | Ryan O'ReillyFNSH | NSH | 708 | 82 | 8.63 | 828 | 53.9% | 84%▲5 |
| 7 | Nathan MacKinnonFCOL | COL | 707 | 82 | 8.62 | 607 | 46.2% | 100%▲0.9 |
| 8 | Adam LowryFWPG | WPG | 704 | 81 | 8.69 | 676 | 49.0% | 5.7%▲5.5 |
| 9 | Anze KopitarFLAK | LAK | 701 | 81 | 8.65 | 859 | 55.1% | 0.5% |
| 10 | Bo HorvatFNYI | NYI | 654 | 81 | 8.07 | 765 | 53.9% | 90%▲1.2 |
| 11 | Mark ScheifeleFWPG | WPG | 650 | 74 | 8.78 | 603 | 48.1% | 99% |
| 12 | J.T. MillerFVAN | VAN | 638 | 81 | 7.88 | 823 | 56.3% | 92%▲7.7 |
| 13 | Alexander WennbergFSEA/NYR | SEA/NYR | 636 | 79 | 8.05 | 552 | 46.5% | 25%▼1.6 |
| 14 | Nick BjugstadFARI | ARI | 636 | 76 | 8.37 | 617 | 49.2% | 0.1% |
| 15 | Leon DraisaitlFEDM | EDM | 625 | 81 | 7.72 | 826 | 56.9% | 100% |
| 16 | Dylan CozensFBUF | BUF | 624 | 79 | 7.90 | 522 | 45.5% | 90%▲3.9 |
| 17 | Dylan StromeFWSH | WSH | 623 | 82 | 7.60 | 697 | 52.8% | 83%▲11 |
| 18 | Nick SuzukiFMTL | MTL | 622 | 82 | 7.59 | 689 | 52.6% | 100%▲0.5 |
| 19 | Vincent TrocheckFNYR | NYR | 619 | 82 | 7.55 | 881 | 58.7% | 88%▼5.4 |
| 20 | Nazem KadriFCGY | CGY | 618 | 82 | 7.54 | 592 | 48.9% | 71%▼9 |
| 21 | Jason DickinsonFCHI | CHI | 618 | 82 | 7.54 | 618 | 50.0% | 3.2%▲3 |
| 22 | Auston MatthewsFTOR | TOR | 614 | 81 | 7.58 | 705 | 53.4% | 99% |
| 23 | Sean CouturierFPHI | PHI | 602 | 74 | 8.14 | 692 | 53.5% | 9.2%▲7.2 |
| 24 | Nico HischierFNJD | NJD | 602 | 71 | 8.48 | 785 | 56.6% | 97%▲2.3 |
| 25 | Casey MittelstadtFBUF/COL | BUF/COL | 595 | 80 | 7.44 | 529 | 47.1% | 14%▲12 |
| 26 | Matty BeniersFSEA | SEA | 584 | 77 | 7.58 | 527 | 47.4% | 50%▼1.5 |
| 27 | Elias LindholmFCGY/VAN | CGY/VAN | 583 | 75 | 7.77 | 753 | 56.4% | 43%▲4.7 |
| 28 | Dylan LarkinFDET | DET | 577 | 68 | 8.49 | 716 | 55.4% | 96% |
| 29 | Jordan StaalFCAR | CAR | 576 | 80 | 7.20 | 799 | 58.1% | 20%▲13 |
| 30 | Sean MonahanFMTL/WPG | MTL/WPG | 574 | 83 | 6.92 | 698 | 54.9% | 19%▲13 |
| 31 | J.T. CompherFDET | DET | 574 | 77 | 7.45 | 465 | 44.8% | 4.0%▲3.9 |
| 32 | Yanni GourdeFSEA | SEA | 566 | 80 | 7.08 | 519 | 47.8% | 4.9%▲4 |
| 33 | Mika ZibanejadFNYR | NYR | 564 | 81 | 6.96 | 548 | 49.3% | 98%▲1.4 |
| 34 | Mikael GranlundFSJS | SJS | 560 | 69 | 8.12 | 492 | 46.8% | 52%▼12 |
| 35 | Colton SissonsFNSH | NSH | 558 | 81 | 6.89 | 618 | 52.6% | 3.3%▲3.1 |
| 36 | Phillip DanaultFLAK | LAK | 557 | 78 | 7.14 | 600 | 51.9% | 4.9%▲4.5 |
| 37 | John TavaresFTOR | TOR | 550 | 80 | 6.88 | 802 | 59.3% | 96%▲9.3 |
| 38 | Jean-Gabriel PageauFNYI | NYI | 546 | 82 | 6.66 | 679 | 55.4% | 12%▲11 |
| 39 | Jake EvansFMTL | MTL | 544 | 82 | 6.63 | 593 | 52.2% | 5.7%▲5.2 |
| 40 | Nic DowdFWSH | WSH | 531 | 64 | 8.30 | 493 | 48.1% | 3.2%▲3.1 |
| 41 | Cole SillingerFCBJ | CBJ | 522 | 77 | 6.78 | 450 | 46.3% | 12%▲9.9 |
| 42 | Boone JennerFCBJ | CBJ | 509 | 58 | 8.78 | 604 | 54.3% | 21%▲16 |
| 43 | Adam HenriqueFANA/EDM | ANA/EDM | 506 | 82 | 6.17 | 577 | 53.3% | 0.5% |
| 44 | Connor McMichaelFWSH | WSH | 502 | 80 | 6.28 | 370 | 42.4% | 34%▲27 |
| 45 | Scott LaughtonFPHI | PHI | 499 | 82 | 6.09 | 478 | 48.9% | 5.6%▲5.5 |
| 46 | Chandler StephensonFVGK | VGK | 498 | 75 | 6.64 | 552 | 52.6% | 17%▲13 |
| 47 | Jack EichelFVGK | VGK | 495 | 63 | 7.86 | 413 | 45.5% | 99%▲1.4 |
| 48 | Tage ThompsonFBUF | BUF | 487 | 71 | 6.86 | 372 | 43.3% | 100%▲1.3 |
| 49 | Claude GirouxFOTT | OTT | 484 | 82 | 5.90 | 668 | 58.0% | 30%▲20 |
| 50 | Sebastian AhoFCAR | CAR | 484 | 78 | 6.21 | 571 | 54.1% | 99%▲1.2 |
| 51 | Pavel ZachaFBOS | BOS | 483 | 78 | 6.19 | 585 | 54.8% | 78%▲13 |
| 52 | Ryan PoehlingFPHI | PHI | 477 | 77 | 6.19 | 461 | 49.1% | 6.7%▲5.1 |
| 53 | Anthony CirelliFTBL | TBL | 475 | 79 | 6.01 | 460 | 49.2% | 51%▲19 |
| 54 | Aleksander BarkovFFLA | FLA | 470 | 73 | 6.44 | 630 | 57.3% | 97%▲7 |
| 55 | Sam BennettFFLA | FLA | 468 | 69 | 6.78 | 390 | 45.5% | 84%▲4.3 |
| 56 | Brayden SchennFSTL | STL | 466 | 82 | 5.68 | 454 | 49.3% | 28%▲7.8 |
| 57 | Andrew CoppFDET | DET | 465 | 79 | 5.89 | 536 | 53.5% | 9.2%▲7.8 |
| 58 | David KampfFTOR | TOR | 453 | 78 | 5.81 | 469 | 50.9% | 0.0% |
| 59 | Alexander KerfootFARI | ARI | 450 | 82 | 5.49 | 412 | 47.8% | 3.2%▲3.1 |
| 60 | Nick PaulFTBL | TBL | 447 | 82 | 5.45 | 531 | 54.3% | 8.1%▲7.7 |
| 61 | Pierre-Luc DuboisFLAK | LAK | 446 | 82 | 5.44 | 440 | 49.7% | 42%▲33 |
| 62 | Lars EllerFPIT | PIT | 445 | 82 | 5.43 | 487 | 52.3% | 0.2% |
| 63 | Brock NelsonFNYI | NYI | 431 | 82 | 5.26 | 356 | 45.2% | 88%▼3.6 |
| 64 | Logan CooleyFARI | ARI | 427 | 82 | 5.21 | 262 | 38.0% | 94%▲9.3 |
| 65 | William KarlssonFVGK | VGK | 426 | 70 | 6.09 | 547 | 56.2% | 24%▲20 |
| 66 | Connor McDavidFEDM | EDM | 423 | 76 | 5.57 | 442 | 51.1% | 100%▲1.5 |
| 67 | Ryan HartmanFMIN | MIN | 419 | 74 | 5.66 | 371 | 47.0% | 40%▼17 |
| 68 | Tomas HertlFSJS/VGK | SJS/VGK | 418 | 54 | 7.74 | 565 | 57.5% | 84%▲3.2 |
| 69 | Luke GlendeningFTBL | TBL | 417 | 81 | 5.15 | 531 | 56.0% | 0.0% |
| 70 | Morgan FrostFPHI | PHI | 416 | 71 | 5.86 | 407 | 49.5% | 23%▲17 |
| 71 | Marco RossiFMIN | MIN | 414 | 82 | 5.05 | 335 | 44.7% | 60%▲14 |
| 72 | Evgeni MalkinFPIT | PIT | 412 | 82 | 5.02 | 389 | 48.6% | 82%▲11 |
| 73 | Evgeny KuznetsovFWSH/CAR | WSH/CAR | 411 | 63 | 6.52 | 336 | 45.0% | — |
| 74 | Nicolas RoyFVGK | VGK | 408 | 70 | 5.83 | 359 | 46.8% | 4.9%▲4.7 |
| 75 | Mason McTavishFANA | ANA | 408 | 64 | 6.38 | 437 | 51.7% | 51%▲36 |
| 76 | Kevin StenlundFFLA | FLA | 406 | 81 | 5.01 | 429 | 51.4% | 0.1% |
| 77 | Erik HaulaFNJD | NJD | 403 | 76 | 5.30 | 489 | 54.8% | 12%▲8.7 |
| 78 | Ross ColtonFCOL | COL | 397 | 80 | 4.96 | 423 | 51.6% | 8.1%▲7.8 |
| 79 | Anton LundellFFLA | FLA | 396 | 78 | 5.08 | 482 | 54.9% | 46%▲31 |
| 80 | Elias PetterssonFVAN | VAN | 393 | 82 | 4.79 | 406 | 50.8% | 87%▼5.5 |
| 81 | Dmitri VoronkovFCBJ | CBJ | 380 | 75 | 5.07 | 277 | 42.2% | 19%▲17 |
| 82 | Ryan JohansenFCOL | COL | 380 | 63 | 6.03 | 431 | 53.1% | — |
| 83 | Morgan GeekieFBOS | BOS | 369 | 76 | 4.86 | 291 | 44.1% | 96%▲7.9 |
| 84 | Sam CarrickFANA/EDM | ANA/EDM | 366 | 77 | 4.75 | 419 | 53.4% | 0.1% |
| 85 | Teddy BluegerFVAN | VAN | 366 | 68 | 5.38 | 415 | 53.1% | 4.8%▲4.6 |
| 86 | Leo CarlssonFANA | ANA | 366 | 55 | 6.65 | 195 | 34.8% | 94%▲11 |
| 87 | Kevin HayesFSTL | STL | 360 | 79 | 4.56 | 478 | 57.0% | 0.0% |
| 88 | Jack McBainFARI | ARI | 356 | 67 | 5.31 | 294 | 45.2% | 17%▲15 |
| 89 | Ryan McLeodFEDM | EDM | 353 | 81 | 4.36 | 365 | 50.8% | 26%▲20 |
| 90 | Brayden PointFTBL | TBL | 350 | 81 | 4.32 | 294 | 45.7% | 95%▲7.5 |
| 91 | Oskar SundqvistFSTL | STL | 342 | 71 | 4.82 | 247 | 41.9% | 0.0% |
| 92 | Joe PavelskiFDAL | DAL | 340 | 82 | 4.15 | 355 | 51.1% | — |
| 93 | Peyton KrebsFBUF | BUF | 330 | 80 | 4.13 | 284 | 46.3% | 19%▲17 |
| 94 | Nico SturmFSJS | SJS | 330 | 63 | 5.24 | 497 | 60.1% | 0.1% |
| 95 | Connor BedardFCHI | CHI | 325 | 68 | 4.78 | 207 | 38.9% | 98%▲3.6 |
| 96 | Joseph VelenoFDET | DET | 317 | 80 | 3.96 | 305 | 49.0% | 4.1%▲3.9 |
| 97 | Wyatt JohnstonFDAL | DAL | 316 | 82 | 3.85 | 318 | 50.2% | 100%▲0.9 |
| 98 | Michael McCarronFNSH | NSH | 314 | 70 | 4.49 | 357 | 53.2% | 7.3%▲6.9 |
| 99 | Jesperi KotkaniemiFCAR | CAR | 313 | 79 | 3.96 | 333 | 51.5% | 3.2%▲3.1 |
| 100 | Vladislav NamestnikovFWPG | WPG | 304 | 78 | 3.90 | 173 | 36.3% | 0.1% |
How to read it
Total faceoffs lost, all situations.
How reliable is it?
Mostly a volume stat: the centres who take the most draws lose the most.
About our data sources →Projected next
Our fantasy projections for faceoffs lost: who should lead the coming games.