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NHL Faceoffs Lost Leaders
2022-23All 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 2022-23: Sidney Crosby (PIT), 868 FOL.
Faceoffs Lost leaderboard
951 qualified
Show
| # | Player | Team | FOL | GP | Per game | FOW | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Sidney CrosbyFPIT | PIT | 868 | 82 | 10.59 | 978 | 53.0% | 100%▲2.4 |
| 2 | J.T. CompherFCOL | COL | 852 | 82 | 10.39 | 813 | 48.8% | 4.0%▲3.9 |
| 3 | Nico HischierFNJD | NJD | 763 | 81 | 9.42 | 891 | 53.9% | 97%▲2.3 |
| 4 | Alexander WennbergFSEA | SEA | 748 | 82 | 9.12 | 627 | 45.6% | 25%▼1.6 |
| 5 | Nick SuzukiFMTL | MTL | 738 | 82 | 9.00 | 663 | 47.3% | 100%▲0.5 |
| 6 | Bo HorvatFVAN/NYI | VAN/NYI | 727 | 79 | 9.20 | 958 | 56.9% | 90%▲1.2 |
| 7 | Anze KopitarFLAK | LAK | 709 | 82 | 8.65 | 899 | 55.9% | 0.5% |
| 8 | Logan CoutureFSJS | SJS | 709 | 82 | 8.65 | 640 | 47.4% | — |
| 9 | Mika ZibanejadFNYR | NYR | 706 | 82 | 8.61 | 692 | 49.5% | 98%▲1.4 |
| 10 | Joel Eriksson EkFMIN | MIN | 702 | 78 | 9.00 | 684 | 49.4% | 82%▲10 |
| 11 | Mikael BacklundFCGY | CGY | 681 | 82 | 8.30 | 705 | 50.9% | 14%▲9.3 |
| 12 | Elias LindholmFCGY | CGY | 681 | 80 | 8.51 | 857 | 55.7% | 43%▲4.7 |
| 13 | Leon DraisaitlFEDM | EDM | 663 | 80 | 8.29 | 807 | 54.9% | 100% |
| 14 | Patrice BergeronFBOS | BOS | 663 | 78 | 8.50 | 1,043 | 61.1% | — |
| 15 | Travis BoydFARI | ARI | 654 | 82 | 7.98 | 502 | 43.4% | — |
| 16 | Jordan StaalFCAR | CAR | 653 | 81 | 8.06 | 821 | 55.7% | 20%▲13 |
| 17 | Tomas HertlFSJS | SJS | 653 | 79 | 8.27 | 792 | 54.8% | 84%▲3.2 |
| 18 | Andrew CoppFDET | DET | 652 | 82 | 7.95 | 647 | 49.8% | 9.2%▲7.8 |
| 19 | Nathan MacKinnonFCOL | COL | 649 | 71 | 9.14 | 519 | 44.4% | 100%▲0.9 |
| 20 | Nazem KadriFCGY | CGY | 648 | 82 | 7.90 | 586 | 47.5% | 71%▼9 |
| 21 | Noah CatesFPHI | PHI | 638 | 82 | 7.78 | 416 | 39.5% | 18%▲15 |
| 22 | Mark ScheifeleFWPG | WPG | 628 | 81 | 7.75 | 579 | 48.0% | 99% |
| 23 | Boone JennerFCBJ | CBJ | 628 | 68 | 9.24 | 758 | 54.7% | 21%▲16 |
| 24 | Dylan LarkinFDET | DET | 618 | 80 | 7.72 | 737 | 54.4% | 96% |
| 25 | Dylan CozensFBUF | BUF | 607 | 81 | 7.49 | 567 | 48.3% | 90%▲3.9 |
| 26 | Barrett HaytonFARI | ARI | 602 | 82 | 7.34 | 628 | 51.1% | 11%▲11 |
| 27 | Aleksander BarkovFFLA | FLA | 601 | 68 | 8.84 | 731 | 54.9% | 97%▲7 |
| 28 | Adam LowryFWPG | WPG | 585 | 82 | 7.13 | 595 | 50.4% | 5.7%▲5.5 |
| 29 | Phillip DanaultFLAK | LAK | 581 | 82 | 7.09 | 692 | 54.4% | 4.9%▲4.5 |
| 30 | Nick BjugstadFARI/EDM | ARI/EDM | 578 | 78 | 7.41 | 530 | 47.8% | 0.1% |
| 31 | Robert ThomasFSTL | STL | 575 | 73 | 7.88 | 646 | 52.9% | 93%▲20 |
| 32 | Sean KuralyFCBJ | CBJ | 575 | 71 | 8.10 | 567 | 49.6% | 0.2% |
| 33 | Scott LaughtonFPHI | PHI | 568 | 78 | 7.28 | 509 | 47.3% | 5.6%▲5.5 |
| 34 | Vincent TrocheckFNYR | NYR | 565 | 82 | 6.89 | 721 | 56.1% | 88%▼5.4 |
| 35 | Evgeny KuznetsovFWSH | WSH | 561 | 81 | 6.93 | 508 | 47.5% | — |
| 36 | Matty BeniersFSEA | SEA | 560 | 80 | 7.00 | 409 | 42.2% | 50%▼1.5 |
| 37 | David KampfFTOR | TOR | 556 | 82 | 6.78 | 591 | 51.5% | 0.0% |
| 38 | Elias PetterssonFVAN | VAN | 555 | 80 | 6.94 | 442 | 44.3% | 87%▼5.5 |
| 39 | Dylan StromeFWSH | WSH | 554 | 81 | 6.84 | 528 | 48.8% | 83%▲11 |
| 40 | Brock NelsonFNYI | NYI | 547 | 82 | 6.67 | 490 | 47.3% | 88%▼3.6 |
| 41 | Brayden SchennFSTL | STL | 542 | 82 | 6.61 | 472 | 46.5% | 28%▲7.8 |
| 42 | Jean-Gabriel PageauFNYI | NYI | 537 | 70 | 7.67 | 719 | 57.2% | 12%▲11 |
| 43 | John TavaresFTOR | TOR | 519 | 80 | 6.49 | 726 | 58.3% | 96%▲9.3 |
| 44 | Ryan StromeFANA | ANA | 516 | 82 | 6.29 | 402 | 43.8% | 4.0%▲3.9 |
| 45 | Colton SissonsFNSH | NSH | 515 | 82 | 6.28 | 593 | 53.5% | 3.3%▲3.1 |
| 46 | Frederick GaudreauFMIN | MIN | 515 | 82 | 6.28 | 500 | 49.3% | 0.2% |
| 47 | Morgan FrostFPHI | PHI | 515 | 81 | 6.36 | 436 | 45.8% | 23%▲17 |
| 48 | William KarlssonFVGK | VGK | 510 | 82 | 6.22 | 632 | 55.3% | 24%▲20 |
| 49 | Claude GirouxFOTT | OTT | 509 | 82 | 6.21 | 712 | 58.3% | 30%▲20 |
| 50 | Pierre-Luc DuboisFWPG | WPG | 505 | 73 | 6.92 | 483 | 48.9% | 42%▲33 |
| 51 | Sebastian AhoFCAR | CAR | 503 | 75 | 6.71 | 531 | 51.4% | 99%▲1.2 |
| 52 | Auston MatthewsFTOR | TOR | 499 | 74 | 6.74 | 550 | 52.4% | 99% |
| 53 | Yanni GourdeFSEA | SEA | 489 | 81 | 6.04 | 483 | 49.7% | 4.9%▲4 |
| 54 | Jack RoslovicFCBJ | CBJ | 489 | 77 | 6.35 | 400 | 45.0% | 34%▲26 |
| 55 | Chandler StephensonFVGK | VGK | 487 | 81 | 6.01 | 675 | 58.1% | 17%▲13 |
| 56 | Connor McDavidFEDM | EDM | 486 | 82 | 5.93 | 525 | 51.9% | 100%▲1.5 |
| 57 | Erik HaulaFNJD | NJD | 484 | 80 | 6.05 | 573 | 54.2% | 12%▲8.7 |
| 58 | Charlie CoyleFBOS | BOS | 483 | 82 | 5.89 | 536 | 52.6% | 49%▼11 |
| 59 | Sam BennettFFLA | FLA | 479 | 63 | 7.60 | 425 | 47.0% | 84%▲4.3 |
| 60 | Lars EllerFWSH/COL | WSH/COL | 474 | 84 | 5.64 | 549 | 53.7% | 0.2% |
| 61 | Jack McBainFARI | ARI | 470 | 82 | 5.73 | 370 | 44.0% | 17%▲15 |
| 62 | Tage ThompsonFBUF | BUF | 463 | 78 | 5.94 | 350 | 43.1% | 100%▲1.3 |
| 63 | Max DomiFCHI/DAL | CHI/DAL | 440 | 80 | 5.50 | 510 | 53.7% | 5.8%▲4.6 |
| 64 | Christian DvorakFMTL | MTL | 440 | 64 | 6.88 | 477 | 52.0% | 16%▲13 |
| 65 | Casey CizikasFNYI | NYI | 438 | 81 | 5.41 | 501 | 53.4% | 0.1% |
| 66 | Evgeni MalkinFPIT | PIT | 434 | 82 | 5.29 | 422 | 49.3% | 82%▲11 |
| 67 | Jack EichelFVGK | VGK | 434 | 67 | 6.48 | 359 | 45.3% | 99%▲1.4 |
| 68 | Steven StamkosFTBL | TBL | 430 | 81 | 5.31 | 501 | 53.8% | 94%▼4.2 |
| 69 | Nick PaulFTBL | TBL | 426 | 80 | 5.33 | 495 | 53.7% | 8.1%▲7.7 |
| 70 | Nic DowdFWSH | WSH | 419 | 65 | 6.45 | 433 | 50.8% | 3.2%▲3.1 |
| 71 | Mason McTavishFANA | ANA | 418 | 80 | 5.22 | 307 | 42.3% | 51%▲36 |
| 72 | Shane PintoFOTT | OTT | 413 | 82 | 5.04 | 449 | 52.1% | 37%▲22 |
| 73 | Brayden PointFTBL | TBL | 405 | 82 | 4.94 | 417 | 50.7% | 95%▲7.5 |
| 74 | Anthony CirelliFTBL | TBL | 404 | 58 | 6.97 | 427 | 51.4% | 51%▲19 |
| 75 | Jason DickinsonFCHI | CHI | 403 | 78 | 5.17 | 368 | 47.7% | 3.2%▲3 |
| 76 | Eric StaalFFLA | FLA | 400 | 72 | 5.56 | 343 | 46.2% | — |
| 77 | J.T. MillerFVAN | VAN | 399 | 81 | 4.93 | 487 | 55.0% | 92%▲7.7 |
| 78 | Nicolas RoyFVGK | VGK | 399 | 65 | 6.14 | 369 | 48.0% | 4.9%▲4.7 |
| 79 | Casey MittelstadtFBUF | BUF | 398 | 82 | 4.85 | 338 | 45.9% | 14%▲12 |
| 80 | Ryan O'ReillyFSTL/TOR | STL/TOR | 396 | 53 | 7.47 | 499 | 55.8% | 84%▲5 |
| 81 | Brady TkachukFOTT | OTT | 395 | 82 | 4.82 | 370 | 48.4% | 100%▲2 |
| 82 | Blake LizotteFLAK | LAK | 394 | 81 | 4.86 | 413 | 51.2% | 0.1% |
| 83 | Tyler SeguinFDAL | DAL | 394 | 76 | 5.18 | 476 | 54.7% | 22%▲19 |
| 84 | Nico SturmFSJS | SJS | 389 | 74 | 5.26 | 491 | 55.8% | 0.1% |
| 85 | David KrejciFBOS | BOS | 389 | 70 | 5.56 | 351 | 47.4% | — |
| 86 | Cole SillingerFCBJ | CBJ | 388 | 64 | 6.06 | 308 | 44.3% | 12%▲9.9 |
| 87 | Michael McLeodFNJD | NJD | 381 | 80 | 4.76 | 587 | 60.6% | — |
| 88 | Jeff CarterFPIT | PIT | 381 | 79 | 4.82 | 557 | 59.4% | — |
| 89 | Filip ChytilFNYR | NYR | 380 | 74 | 5.14 | 251 | 39.8% | 6.4%▲6.3 |
| 90 | Ryan Nugent-HopkinsFEDM | EDM | 374 | 82 | 4.56 | 308 | 45.2% | 77%▲15 |
| 91 | Joseph VelenoFDET | DET | 374 | 81 | 4.62 | 277 | 42.5% | 4.1%▲3.9 |
| 92 | Cody GlassFNSH | NSH | 365 | 72 | 5.07 | 362 | 49.8% | 4.9%▲4.5 |
| 93 | Jonathan ToewsFCHI | CHI | 347 | 53 | 6.55 | 594 | 63.1% | 0.3% |
| 94 | Ryan JohansenFNSH | NSH | 346 | 55 | 6.29 | 502 | 59.2% | — |
| 95 | Jamie BennFDAL | DAL | 345 | 82 | 4.21 | 520 | 60.1% | 22%▲18 |
| 96 | Kevin HayesFPHI | PHI | 342 | 81 | 4.22 | 334 | 49.4% | 0.0% |
| 97 | Jesperi KotkaniemiFCAR | CAR | 340 | 82 | 4.15 | 360 | 51.4% | 3.2%▲3.1 |
| 98 | Trevor ZegrasFANA | ANA | 336 | 81 | 4.15 | 237 | 41.4% | 86%▲18 |
| 99 | Adam HenriqueFANA | ANA | 327 | 62 | 5.27 | 342 | 51.1% | 0.5% |
| 100 | Sam SteelFMIN | MIN | 325 | 65 | 5.00 | 308 | 48.7% | 5.8%▲4.9 |
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.