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NHL Faceoffs Lost Leaders
2024-25All 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 2024-25: Nico Hischier (NJD), 790 FOL.
Faceoffs Lost leaderboard
920 qualified
Show
| # | Player | Team | FOL | GP | Per game | FOW | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Nico HischierFNJD | NJD | 790 | 75 | 10.53 | 987 | 55.5% | 97%▲2.3 |
| 2 | Nazem KadriFCGY | CGY | 787 | 82 | 9.60 | 677 | 46.2% | 71%▼9 |
| 3 | Sidney CrosbyFPIT | PIT | 766 | 80 | 9.57 | 1,016 | 57.0% | 100%▲2.4 |
| 4 | Nathan MacKinnonFCOL | COL | 758 | 79 | 9.59 | 756 | 49.9% | 100%▲0.9 |
| 5 | Mikael BacklundFCGY | CGY | 749 | 76 | 9.86 | 703 | 48.4% | 14%▲9.3 |
| 6 | Dylan LarkinFDET | DET | 728 | 82 | 8.88 | 871 | 54.5% | 96% |
| 7 | Ryan StromeFANA | ANA | 715 | 82 | 8.72 | 511 | 41.7% | 4.0%▲3.9 |
| 8 | Chandler StephensonFSEA | SEA | 713 | 78 | 9.14 | 761 | 51.6% | 17%▲13 |
| 9 | Jack EichelFVGK | VGK | 682 | 77 | 8.86 | 572 | 45.6% | 99%▲1.4 |
| 10 | Anze KopitarFLAK | LAK | 658 | 81 | 8.12 | 879 | 57.2% | 0.5% |
| 11 | Anthony CirelliFTBL | TBL | 645 | 80 | 8.06 | 647 | 50.1% | 51%▲19 |
| 12 | Mark ScheifeleFWPG | WPG | 641 | 82 | 7.82 | 627 | 49.4% | 99% |
| 13 | Nick SuzukiFMTL | MTL | 638 | 82 | 7.78 | 680 | 51.6% | 100%▲0.5 |
| 14 | Matty BeniersFSEA | SEA | 625 | 82 | 7.62 | 569 | 47.7% | 50%▼1.5 |
| 15 | Vincent TrocheckFNYR | NYR | 624 | 82 | 7.61 | 910 | 59.3% | 88%▼5.4 |
| 16 | Elias LindholmFBOS | BOS | 615 | 82 | 7.50 | 759 | 55.2% | 43%▲4.7 |
| 17 | Noah CatesFPHI | PHI | 612 | 78 | 7.85 | 493 | 44.6% | 18%▲15 |
| 18 | Jordan StaalFCAR | CAR | 605 | 75 | 8.07 | 724 | 54.5% | 20%▲13 |
| 19 | Robert ThomasFSTL | STL | 605 | 70 | 8.64 | 733 | 54.8% | 93%▲20 |
| 20 | Nic DowdFWSH | WSH | 599 | 82 | 7.30 | 596 | 49.9% | 3.2%▲3.1 |
| 21 | Adam FantilliFCBJ | CBJ | 599 | 82 | 7.30 | 420 | 41.2% | 92%▲10 |
| 22 | Dylan StromeFWSH | WSH | 596 | 82 | 7.27 | 691 | 53.7% | 83%▲11 |
| 23 | Ryan O'ReillyFNSH | NSH | 593 | 79 | 7.51 | 746 | 55.7% | 84%▲5 |
| 24 | Pierre-Luc DuboisFWSH | WSH | 584 | 82 | 7.12 | 577 | 49.7% | 42%▲33 |
| 25 | Phillip DanaultFLAK | LAK | 581 | 80 | 7.26 | 635 | 52.2% | 4.9%▲4.5 |
| 26 | Brock NelsonFNYI/COL | NYI/COL | 579 | 80 | 7.24 | 630 | 52.1% | 88%▼3.6 |
| 27 | Ryan McLeodFBUF | BUF | 574 | 79 | 7.27 | 630 | 52.3% | 26%▲20 |
| 28 | Dylan CozensFBUF/OTT | BUF/OTT | 573 | 82 | 6.99 | 587 | 50.6% | 90%▲3.9 |
| 29 | Adam LowryFWPG | WPG | 573 | 73 | 7.85 | 615 | 51.8% | 5.7%▲5.5 |
| 30 | Frederick GaudreauFMIN | MIN | 568 | 82 | 6.93 | 529 | 48.2% | 0.2% |
| 31 | Brayden SchennFSTL | STL | 564 | 82 | 6.88 | 618 | 52.3% | 28%▲7.8 |
| 32 | Alexander WennbergFSJS | SJS | 561 | 77 | 7.29 | 508 | 47.5% | 25%▼1.6 |
| 33 | Casey MittelstadtFCOL/BOS | COL/BOS | 560 | 81 | 6.91 | 443 | 44.2% | 14%▲12 |
| 34 | J.T. CompherFDET | DET | 556 | 76 | 7.32 | 457 | 45.1% | 4.0%▲3.9 |
| 35 | Sean MonahanFCBJ | CBJ | 555 | 54 | 10.28 | 616 | 52.6% | 19%▲13 |
| 36 | Bo HorvatFNYI | NYI | 552 | 81 | 6.81 | 767 | 58.2% | 90%▲1.2 |
| 37 | John TavaresFTOR | TOR | 546 | 75 | 7.28 | 762 | 58.3% | 96%▲9.3 |
| 38 | Leon DraisaitlFEDM | EDM | 546 | 71 | 7.69 | 650 | 54.3% | 100% |
| 39 | Macklin CelebriniFSJS | SJS | 544 | 70 | 7.77 | 507 | 48.2% | 100%▲1 |
| 40 | Sebastian AhoFCAR | CAR | 535 | 79 | 6.77 | 663 | 55.3% | 99%▲1.2 |
| 41 | Jake EvansFMTL | MTL | 529 | 82 | 6.45 | 593 | 52.9% | 5.7%▲5.2 |
| 42 | Marco RossiFMIN | MIN | 528 | 82 | 6.44 | 464 | 46.8% | 60%▲14 |
| 43 | Auston MatthewsFTOR | TOR | 528 | 67 | 7.88 | 695 | 56.8% | 99% |
| 44 | Quinton ByfieldFLAK | LAK | 527 | 81 | 6.51 | 415 | 44.1% | 86%▲18 |
| 45 | Sean CouturierFPHI | PHI | 525 | 79 | 6.65 | 670 | 56.1% | 9.2%▲7.2 |
| 46 | Sam BennettFFLA | FLA | 523 | 76 | 6.88 | 450 | 46.2% | 84%▲4.3 |
| 47 | Mika ZibanejadFNYR | NYR | 507 | 82 | 6.18 | 549 | 52.0% | 98%▲1.4 |
| 48 | Elias PetterssonFVAN | VAN | 506 | 64 | 7.91 | 458 | 47.5% | 87%▼5.5 |
| 49 | Teddy BluegerFVAN | VAN | 505 | 82 | 6.16 | 510 | 50.2% | 4.8%▲4.6 |
| 50 | Morgan FrostFPHI/CGY | PHI/CGY | 504 | 81 | 6.22 | 529 | 51.2% | 23%▲17 |
| 51 | Pius SuterFVAN | VAN | 502 | 81 | 6.20 | 372 | 42.6% | 4.1%▲3.3 |
| 52 | Isac LundeströmFANA | ANA | 494 | 79 | 6.25 | 442 | 47.2% | 0.0% |
| 53 | Anton LundellFFLA | FLA | 481 | 79 | 6.09 | 542 | 53.0% | 46%▲31 |
| 54 | Mason McTavishFANA | ANA | 474 | 76 | 6.24 | 487 | 50.7% | 51%▲36 |
| 55 | Christian DvorakFMTL | MTL | 469 | 82 | 5.72 | 591 | 55.8% | 16%▲13 |
| 56 | Barrett HaytonFUTA | UTA | 468 | 82 | 5.71 | 552 | 54.1% | 11%▲11 |
| 57 | Jason DickinsonFCHI | CHI | 463 | 59 | 7.85 | 453 | 49.5% | 3.2%▲3 |
| 58 | Shane WrightFSEA | SEA | 461 | 79 | 5.84 | 369 | 44.5% | 27%▲26 |
| 59 | Joel Eriksson EkFMIN | MIN | 459 | 46 | 9.98 | 408 | 47.1% | 82%▲10 |
| 60 | Brayden PointFTBL | TBL | 456 | 77 | 5.92 | 430 | 48.5% | 95%▲7.5 |
| 61 | J.T. MillerFVAN/NYR | VAN/NYR | 450 | 72 | 6.25 | 628 | 58.3% | 92%▲7.7 |
| 62 | Adam HenriqueFEDM | EDM | 448 | 81 | 5.53 | 562 | 55.6% | 0.5% |
| 63 | Aleksander BarkovFFLA | FLA | 446 | 67 | 6.66 | 580 | 56.5% | 97%▲7 |
| 64 | Wyatt JohnstonFDAL | DAL | 444 | 82 | 5.41 | 465 | 51.2% | 100%▲0.9 |
| 65 | Shane PintoFOTT | OTT | 442 | 70 | 6.31 | 444 | 50.1% | 37%▲22 |
| 66 | Kevin StenlundFUTA | UTA | 431 | 82 | 5.26 | 623 | 59.1% | 0.1% |
| 67 | Leo CarlssonFANA | ANA | 428 | 76 | 5.63 | 302 | 41.4% | 94%▲11 |
| 68 | Vladislav NamestnikovFWPG | WPG | 426 | 78 | 5.46 | 365 | 46.1% | 0.1% |
| 69 | Tomas HertlFVGK | VGK | 422 | 73 | 5.78 | 536 | 55.9% | 84%▲3.2 |
| 70 | Michael McCarronFNSH | NSH | 421 | 74 | 5.69 | 502 | 54.4% | 7.3%▲6.9 |
| 71 | Logan CooleyFUTA | UTA | 420 | 75 | 5.60 | 340 | 44.7% | 94%▲9.3 |
| 72 | Jack HughesFNJD | NJD | 416 | 62 | 6.71 | 251 | 37.6% | 100% |
| 73 | Nicolas RoyFVGK | VGK | 407 | 71 | 5.73 | 371 | 47.7% | 4.9%▲4.7 |
| 74 | Connor McDavidFEDM | EDM | 406 | 67 | 6.06 | 370 | 47.7% | 100%▲1.5 |
| 75 | Connor BedardFCHI | CHI | 405 | 82 | 4.94 | 251 | 38.3% | 98%▲3.6 |
| 76 | Tage ThompsonFBUF | BUF | 403 | 76 | 5.30 | 301 | 42.8% | 100%▲1.3 |
| 77 | Matt DucheneFDAL | DAL | 400 | 82 | 4.88 | 440 | 52.4% | 62%▼17 |
| 78 | Parker KellyFCOL | COL | 400 | 80 | 5.00 | 302 | 43.0% | 11%▲5.6 |
| 79 | Jean-Gabriel PageauFNYI | NYI | 399 | 79 | 5.05 | 589 | 59.6% | 12%▲11 |
| 80 | Steven StamkosFNSH | NSH | 398 | 82 | 4.85 | 396 | 49.9% | 94%▼4.2 |
| 81 | Charlie CoyleFBOS/COL | BOS/COL | 395 | 83 | 4.76 | 374 | 48.6% | 49%▼11 |
| 82 | Nick PaulFTBL | TBL | 393 | 76 | 5.17 | 393 | 50.0% | 8.1%▲7.7 |
| 83 | Roope HintzFDAL | DAL | 392 | 76 | 5.16 | 458 | 53.9% | 84%▲7.1 |
| 84 | Luke GlendeningFTBL | TBL | 379 | 77 | 4.92 | 502 | 57.0% | 0.0% |
| 85 | Claude GirouxFOTT | OTT | 376 | 81 | 4.64 | 600 | 61.5% | 30%▲20 |
| 86 | Mikael GranlundFSJS/DAL | SJS/DAL | 365 | 83 | 4.40 | 359 | 49.6% | 52%▼12 |
| 87 | Nick FolignoFCHI | CHI | 363 | 78 | 4.65 | 341 | 48.4% | 4.1%▲3.6 |
| 88 | Ryan PoehlingFPHI | PHI | 362 | 68 | 5.32 | 375 | 50.9% | 6.7%▲5.1 |
| 89 | Lars EllerFWSH/PIT | WSH/PIT | 359 | 80 | 4.49 | 392 | 52.2% | 0.2% |
| 90 | Josh NorrisFOTT/BUF | OTT/BUF | 354 | 56 | 6.32 | 413 | 53.8% | 39%▲32 |
| 91 | Cole SillingerFCBJ | CBJ | 350 | 66 | 5.30 | 300 | 46.2% | 12%▲9.9 |
| 92 | Pavel ZachaFBOS | BOS | 346 | 82 | 4.22 | 393 | 53.2% | 78%▲13 |
| 93 | Marco KasperFDET | DET | 345 | 77 | 4.48 | 281 | 44.9% | 28%▲27 |
| 94 | Evgeni MalkinFPIT | PIT | 343 | 68 | 5.04 | 290 | 45.8% | 82%▲11 |
| 95 | Jesperi KotkaniemiFCAR | CAR | 342 | 78 | 4.38 | 367 | 51.8% | 3.2%▲3.1 |
| 96 | Erik HaulaFNJD | NJD | 341 | 69 | 4.94 | 378 | 52.6% | 12%▲8.7 |
| 97 | Peyton KrebsFBUF | BUF | 339 | 81 | 4.19 | 326 | 49.0% | 19%▲17 |
| 98 | Justin DanforthFCBJ | CBJ | 334 | 61 | 5.48 | 327 | 49.5% | 0.0% |
| 99 | Radek FaksaFSTL | STL | 326 | 70 | 4.66 | 432 | 57.0% | 0.1% |
| 100 | Alex NewhookFMTL | MTL | 319 | 82 | 3.89 | 239 | 42.8% | 26%▲23 |
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.