More skater stats
NHL Faceoffs Lost Leaders
2025-26All 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 2025-26: Nico Hischier (NJD), 800 FOL.
Faceoffs Lost leaderboard
940 qualified
Show
| # | Player | Team | FOL | GP | Per game | FOW | FO% | |
|---|---|---|---|---|---|---|---|---|
| 1 | Nico HischierFNJD | NJD | 800 | 82 | 9.76 | 1,008 | 55.8% | 97%▲2.3 |
| 2 | Alexander WennbergFSJS | SJS | 745 | 80 | 9.31 | 655 | 46.8% | 25%▼1.6 |
| 3 | Brock NelsonFCOL | COL | 724 | 81 | 8.94 | 735 | 50.4% | 88%▼3.6 |
| 4 | Mikael BacklundFCGY | CGY | 721 | 82 | 8.79 | 720 | 50.0% | 14%▲9.3 |
| 5 | Nick SuzukiFMTL | MTL | 718 | 82 | 8.76 | 731 | 50.4% | 100%▲0.5 |
| 6 | Elias PetterssonFVAN | VAN | 711 | 74 | 9.61 | 642 | 47.5% | 87%▼5.5 |
| 7 | Joel Eriksson EkFMIN | MIN | 709 | 70 | 10.13 | 681 | 49.0% | 82%▲10 |
| 8 | Dylan LarkinFDET | DET | 703 | 74 | 9.50 | 789 | 52.9% | 96% |
| 9 | Chandler StephensonFSEA | SEA | 698 | 80 | 8.72 | 759 | 52.1% | 17%▲13 |
| 10 | Mark ScheifeleFWPG | WPG | 679 | 82 | 8.28 | 594 | 46.7% | 99% |
| 11 | Jordan StaalFCAR | CAR | 673 | 75 | 8.97 | 839 | 55.5% | 20%▲13 |
| 12 | Ryan McLeodFBUF | BUF | 672 | 81 | 8.30 | 612 | 47.7% | 26%▲20 |
| 13 | Macklin CelebriniFSJS | SJS | 660 | 82 | 8.05 | 625 | 48.6% | 100%▲1 |
| 14 | Nathan MacKinnonFCOL | COL | 653 | 80 | 8.16 | 681 | 51.0% | 100%▲0.9 |
| 15 | Sidney CrosbyFPIT | PIT | 628 | 68 | 9.24 | 773 | 55.2% | 100%▲2.4 |
| 16 | Jack EichelFVGK | VGK | 613 | 74 | 8.28 | 558 | 47.7% | 99%▲1.4 |
| 17 | Quinton ByfieldFLAK | LAK | 609 | 79 | 7.71 | 508 | 45.5% | 86%▲18 |
| 18 | Charlie CoyleFCBJ | CBJ | 608 | 82 | 7.41 | 626 | 50.7% | 49%▼11 |
| 19 | Ryan O'ReillyFNSH | NSH | 603 | 81 | 7.44 | 739 | 55.1% | 84%▲5 |
| 20 | Ryan HartmanFMIN | MIN | 593 | 76 | 7.80 | 492 | 45.3% | 40%▼17 |
| 21 | John TavaresFTOR | TOR | 591 | 82 | 7.21 | 801 | 57.5% | 96%▲9.3 |
| 22 | Sebastian AhoFCAR | CAR | 585 | 79 | 7.41 | 596 | 50.5% | 99%▲1.2 |
| 23 | Sean MonahanFCBJ | CBJ | 582 | 78 | 7.46 | 638 | 52.3% | 19%▲13 |
| 24 | Sam BennettFFLA | FLA | 570 | 76 | 7.50 | 517 | 47.6% | 84%▲4.3 |
| 25 | Noah CatesFPHI | PHI | 563 | 82 | 6.87 | 467 | 45.3% | 18%▲15 |
| 26 | Anze KopitarFLAK | LAK | 563 | 67 | 8.40 | 744 | 56.9% | 0.5% |
| 27 | Matty BeniersFSEA | SEA | 557 | 82 | 6.79 | 515 | 48.0% | 50%▼1.5 |
| 28 | Dylan StromeFWSH | WSH | 557 | 80 | 6.96 | 777 | 58.2% | 83%▲11 |
| 29 | Anthony CirelliFTBL | TBL | 557 | 71 | 7.85 | 518 | 48.2% | 51%▲19 |
| 30 | Adam FantilliFCBJ | CBJ | 556 | 82 | 6.78 | 552 | 49.8% | 92%▲10 |
| 31 | Leo CarlssonFANA | ANA | 543 | 70 | 7.76 | 433 | 44.4% | 94%▲11 |
| 32 | Anton LundellFFLA | FLA | 540 | 64 | 8.44 | 580 | 51.8% | 46%▲31 |
| 33 | Bo HorvatFNYI | NYI | 536 | 68 | 7.88 | 690 | 56.3% | 90%▲1.2 |
| 34 | Sean CouturierFPHI | PHI | 534 | 78 | 6.85 | 632 | 54.2% | 9.2%▲7.2 |
| 35 | Ryan PoehlingFANA | ANA | 530 | 75 | 7.07 | 498 | 48.4% | 6.7%▲5.1 |
| 36 | Nick SchmaltzFUTA | UTA | 526 | 82 | 6.41 | 448 | 46.0% | 94%▲4.4 |
| 37 | Tomas HertlFVGK | VGK | 525 | 82 | 6.40 | 720 | 57.8% | 84%▲3.2 |
| 38 | Christian DvorakFPHI | PHI | 525 | 80 | 6.56 | 629 | 54.5% | 16%▲13 |
| 39 | Nazem KadriFCGY/COL | CGY/COL | 525 | 77 | 6.82 | 464 | 46.9% | 71%▼9 |
| 40 | Kevin StenlundFUTA | UTA | 523 | 80 | 6.54 | 618 | 54.2% | 0.1% |
| 41 | Mika ZibanejadFNYR | NYR | 520 | 81 | 6.42 | 574 | 52.5% | 98%▲1.4 |
| 42 | Elias LindholmFBOS | BOS | 517 | 69 | 7.49 | 660 | 56.1% | 43%▲4.7 |
| 43 | Logan StankovenFCAR | CAR | 514 | 81 | 6.35 | 409 | 44.3% | 67%▲42 |
| 44 | Erik HaulaFNSH | NSH | 511 | 81 | 6.31 | 494 | 49.2% | 12%▲8.7 |
| 45 | J.T. CompherFDET | DET | 502 | 82 | 6.12 | 520 | 50.9% | 4.0%▲3.9 |
| 46 | Robert ThomasFSTL | STL | 495 | 64 | 7.73 | 547 | 52.5% | 93%▲20 |
| 47 | Nic DowdFWSH/VGK | WSH/VGK | 492 | 75 | 6.56 | 476 | 49.2% | 3.2%▲3.1 |
| 48 | Yanni GourdeFTBL | TBL | 485 | 82 | 5.91 | 396 | 44.9% | 4.9%▲4 |
| 49 | Leon DraisaitlFEDM | EDM | 475 | 65 | 7.31 | 628 | 56.9% | 100% |
| 50 | Vincent TrocheckFNYR | NYR | 474 | 67 | 7.07 | 625 | 56.9% | 88%▼5.4 |
| 51 | Michael McCarronFNSH/MIN | NSH/MIN | 472 | 79 | 5.97 | 522 | 52.5% | 7.3%▲6.9 |
| 52 | Tage ThompsonFBUF | BUF | 468 | 81 | 5.78 | 390 | 45.5% | 100%▲1.3 |
| 53 | Connor McDavidFEDM | EDM | 466 | 82 | 5.68 | 457 | 49.5% | 100%▲1.5 |
| 54 | Pavel ZachaFBOS | BOS | 459 | 78 | 5.88 | 524 | 53.3% | 78%▲13 |
| 55 | Morgan FrostFCGY | CGY | 457 | 82 | 5.57 | 601 | 56.8% | 23%▲17 |
| 56 | Ryan GreeneFCHI | CHI | 456 | 81 | 5.63 | 340 | 42.7% | 10%▲10 |
| 57 | Andrew CoppFDET | DET | 453 | 79 | 5.73 | 537 | 54.2% | 9.2%▲7.8 |
| 58 | Jean-Gabriel PageauFNYI | NYI | 452 | 74 | 6.11 | 653 | 59.1% | 12%▲11 |
| 59 | Danila YurovFMIN | MIN | 451 | 73 | 6.18 | 291 | 39.2% | 32%▲31 |
| 60 | Jason DickinsonFCHI/EDM | CHI/EDM | 450 | 64 | 7.03 | 438 | 49.3% | 3.2%▲3 |
| 61 | Phillip DanaultFMTL/LAK | MTL/LAK | 448 | 75 | 5.97 | 543 | 54.8% | 4.9%▲4.5 |
| 62 | Frank NazarFCHI | CHI | 445 | 66 | 6.74 | 401 | 47.4% | 54%▲34 |
| 63 | Wyatt JohnstonFDAL | DAL | 442 | 82 | 5.39 | 402 | 47.6% | 100%▲0.9 |
| 64 | Adam LowryFWPG | WPG | 429 | 70 | 6.13 | 522 | 54.9% | 5.7%▲5.5 |
| 65 | Fraser MintenFBOS | BOS | 425 | 82 | 5.18 | 414 | 49.3% | 47%▲38 |
| 66 | Evan RodriguesFFLA | FLA | 419 | 69 | 6.07 | 372 | 47.0% | 8.3%▲6.5 |
| 67 | Cody GlassFNJD | NJD | 412 | 70 | 5.89 | 484 | 54.0% | 4.9%▲4.5 |
| 68 | Jack DruryFCOL | COL | 406 | 82 | 4.95 | 563 | 58.1% | 5.6%▲5.4 |
| 69 | Mason McTavishFANA | ANA | 395 | 75 | 5.27 | 373 | 48.6% | 51%▲36 |
| 70 | Dalibor DvorskyFSTL | STL | 394 | 71 | 5.55 | 335 | 46.0% | 28%▲28 |
| 71 | Auston MatthewsFTOR | TOR | 392 | 60 | 6.53 | 580 | 59.7% | 99% |
| 72 | Jonathan ToewsFWPG | WPG | 389 | 82 | 4.74 | 637 | 62.1% | 0.3% |
| 73 | Brayden SchennFSTL/NYI | STL/NYI | 387 | 80 | 4.84 | 456 | 54.1% | 28%▲7.8 |
| 74 | Frederick GaudreauFSEA | SEA | 385 | 68 | 5.66 | 296 | 43.5% | 0.2% |
| 75 | Mikael GranlundFANA | ANA | 385 | 58 | 6.64 | 381 | 49.7% | 52%▼12 |
| 76 | Dylan CozensFOTT | OTT | 383 | 82 | 4.67 | 435 | 53.2% | 90%▲3.9 |
| 77 | Jake EvansFMTL | MTL | 373 | 68 | 5.49 | 472 | 55.9% | 5.7%▲5.2 |
| 78 | Justin SourdifFWSH | WSH | 372 | 78 | 4.77 | 316 | 45.9% | 17%▲16 |
| 79 | Shane PintoFOTT | OTT | 368 | 72 | 5.11 | 396 | 51.8% | 37%▲22 |
| 80 | Barrett HaytonFUTA | UTA | 368 | 67 | 5.49 | 409 | 52.6% | 11%▲11 |
| 81 | Oliver KapanenFMTL | MTL | 366 | 82 | 4.46 | 306 | 45.5% | 29%▲25 |
| 82 | Ben KindelFPIT | PIT | 366 | 77 | 4.75 | 283 | 43.6% | 40%▲31 |
| 83 | Connor BedardFCHI | CHI | 354 | 69 | 5.13 | 315 | 47.1% | 98%▲3.6 |
| 84 | Brayden PointFTBL | TBL | 354 | 63 | 5.62 | 299 | 45.8% | 95%▲7.5 |
| 85 | Connor McMichaelFWSH | WSH | 353 | 78 | 4.53 | 265 | 42.9% | 34%▲27 |
| 86 | Nicolas RoyFTOR/COL | TOR/COL | 344 | 74 | 4.65 | 377 | 52.3% | 4.9%▲4.7 |
| 87 | J.T. MillerFNYR | NYR | 343 | 68 | 5.04 | 547 | 61.5% | 92%▲7.7 |
| 88 | Logan CooleyFUTA | UTA | 343 | 54 | 6.35 | 273 | 44.3% | 94%▲9.3 |
| 89 | Mark JankowskiFCAR | CAR | 342 | 68 | 5.03 | 361 | 51.4% | 0.2% |
| 90 | Shane WrightFSEA | SEA | 329 | 74 | 4.45 | 217 | 39.7% | 27%▲26 |
| 91 | Scott LaughtonFTOR/LAK | TOR/LAK | 325 | 64 | 5.08 | 443 | 57.7% | 5.6%▲5.5 |
| 92 | Sean KuralyFBOS | BOS | 324 | 82 | 3.95 | 338 | 51.1% | 0.2% |
| 93 | Noah LabaFNYR | NYR | 321 | 74 | 4.34 | 331 | 50.8% | 11%▲11 |
| 94 | Mathew BarzalFNYI | NYI | 318 | 81 | 3.93 | 210 | 39.8% | 84%▲11 |
| 95 | Morgan BarronFWPG | WPG | 315 | 65 | 4.85 | 270 | 46.2% | 4.8%▲4.7 |
| 96 | Fedor SvechkovFNSH | NSH | 314 | 70 | 4.49 | 235 | 42.8% | 8.0%▲7.9 |
| 97 | Jack McBainFUTA | UTA | 312 | 75 | 4.16 | 329 | 51.3% | 17%▲15 |
| 98 | Aatu RätyFVAN | VAN | 307 | 66 | 4.65 | 470 | 60.5% | 10%▲10 |
| 99 | Luke GlendeningFNJD/PHI | NJD/PHI | 306 | 70 | 4.37 | 343 | 52.9% | 0.0% |
| 100 | Tim StützleFOTT | OTT | 300 | 80 | 3.75 | 338 | 53.0% | 99%▲0.8 |
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.