Counting stats
NHL Penalty Minutes per 60 Leaders
2018-19All situationsThrough 84 team games
This board ranks skaters by penalty minutes per 60 minutes of ice time in all situations, so a fourth-liner who plays 9 minutes is compared fairly with a top-pair defenseman who plays 25. Players under the minimum-minutes cutoff are hidden.
Penalty minutes add up every minor, major and misconduct. Fighting majors and misconducts make the total lumpy: one bad night can add 17 minutes. Rates surface low-minute players who already produce; they are the ones to grab when an injury opens up ice time.
Leader in 2018-19: Brendan Lemieux (NYR), 11.37 PIM/60.
Penalty Minutes per 60 leaderboard
| # | Player | Team | PIM/60 | PIM | ||
|---|---|---|---|---|---|---|
| 1 | Brendan LemieuxFNYR | NYR | 11.37 | 570 | 108 | — |
| 2 | Antoine RousselFVAN | VAN | 7.92 | 894 | 118 | — |
| 3 | Kyle CliffordFLAK | LAK | 7.63 | 755 | 96 | — |
| 4 | Tom WilsonFWSH | WSH | 6.72 | 1,143 | 128 | 94%▲6.3 |
| 5 | Brett RitchieFDAL | DAL | 6.72 | 509 | 57 | — |
| 6 | Evander KaneFSJS | SJS | 6.65 | 1,381 | 153 | 5.7%▲0.8 |
| 7 | Mark BorowieckiDOTT | OTT | 6.47 | 825 | 89 | — |
| 8 | Miles WoodFNJD | NJD | 6.33 | 863 | 91 | 0.1% |
| 9 | Sam BennettFCGY | CGY | 5.91 | 944 | 93 | 84%▲4.3 |
| 10 | Nick RitchieFANA | ANA | 5.47 | 900 | 82 | — |
| 11 | Zack KassianFEDM | EDM | 5.23 | 1,169 | 102 | — |
| 12 | Milan LucicFEDM | EDM | 5.22 | 1,046 | 91 | — |
| 13 | Ryan ReavesFVGK | VGK | 5.10 | 870 | 74 | 0.3% |
| 14 | Barclay GoodrowFSJS | SJS | 5.05 | 903 | 76 | 0.1% |
| 15 | Cedric PaquetteFTBL | TBL | 5.00 | 960 | 80 | — |
| 16 | Ian ColeDCOL | COL | 4.92 | 1,403 | 115 | 4.9%▲4.3 |
| 17 | Wayne SimmondsFNSH | NSH | 4.80 | 1,238 | 99 | — |
| 18 | Brendan SmithDNYR | NYR | 4.42 | 964 | 71 | — |
| 19 | Nick SeelerDMIN | MIN | 4.39 | 876 | 64 | 8.1%▲7.6 |
| 20 | Austin WatsonFNSH | NSH | 4.36 | 536 | 39 | — |
| 21 | Andrew ShawFMTL | MTL | 4.25 | 1,003 | 71 | — |
| 22 | Zack SmithFOTT | OTT | 4.25 | 1,145 | 81 | — |
| 23 | Garnet HathawayFCGY | CGY | 4.20 | 800 | 56 | 4.8%▲4.6 |
| 24 | Evgeni MalkinFPIT | PIT | 4.18 | 1,279 | 89 | 82%▲11 |
| 25 | Matt MartinFNYI | NYI | 4.15 | 766 | 53 | — |
| 26 | Ryan HartmanFPHI | PHI | 4.08 | 1,089 | 74 | 40%▼17 |
| 27 | Dustin ByfuglienDWPG | WPG | 4.05 | 1,023 | 69 | — |
| 28 | Brady TkachukFOTT | OTT | 3.96 | 1,138 | 75 | 100%▲2 |
| 29 | Tony DeAngeloDNYR | NYR | 3.92 | 1,179 | 77 | 24%▲18 |
| 30 | Lawson CrouseFARI | ARI | 3.83 | 1,049 | 67 | 36%▲13 |
| 31 | Erik GudbransonDPIT | PIT | 3.77 | 1,386 | 87 | 0.1% |
| 32 | Ben HarpurDOTT | OTT | 3.74 | 899 | 56 | — |
| 33 | Nikita ZadorovDCOL | COL | 3.74 | 1,204 | 75 | 39%▲21 |
| 34 | Brad MarchandFBOS | BOS | 3.72 | 1,550 | 96 | 73%▲0.7 |
| 35 | Patrick MaroonFSTL | STL | 3.66 | 1,049 | 64 | — |
| 36 | Madison BoweyDDET | DET | 3.62 | 763 | 46 | — |
| 37 | MacKenzie WeegarDFLA | FLA | 3.54 | 1,086 | 64 | 93%▼7.2 |
| 38 | Brett SeneyFNJD | NJD | 3.53 | 527 | 31 | — |
| 39 | Adam ErneFTBL | TBL | 3.50 | 686 | 40 | 0.0% |
| 40 | Micheal FerlandFCAR | CAR | 3.48 | 1,001 | 58 | — |
| 41 | Jujhar KhairaFEDM | EDM | 3.42 | 754 | 43 | — |
| 42 | JT BrownFMIN | MIN | 3.39 | 514 | 29 | — |
| 43 | Max DomiFMTL | MTL | 3.37 | 1,425 | 80 | 5.8%▲4.6 |
| 44 | Marcus FolignoFMIN | MIN | 3.36 | 982 | 55 | 4.2%▲3.4 |
| 45 | Joel EdmundsonDSTL | STL | 3.29 | 1,241 | 68 | 4.0%▲3.9 |
| 46 | William CarrierFVGK | VGK | 3.24 | 537 | 29 | 0.1% |
| 47 | Matt GrzelcykDBOS | BOS | 3.23 | 1,263 | 68 | 0.1% |
| 48 | Stefan NoesenFNJD | NJD | 3.22 | 522 | 28 | 0.1% |
| 49 | Jamie OleksiakDDAL | DAL | 3.22 | 840 | 45 | 7.1%▲6.9 |
| 50 | Blake ColemanFNJD | NJD | 3.21 | 1,327 | 71 | 38%▼24 |
| 51 | Adam McQuaidDCBJ | CBJ | 3.19 | 789 | 42 | — |
| 52 | Zach HymanFTOR | TOR | 3.18 | 1,227 | 65 | 98%▼1.8 |
| 53 | Dion PhaneufDLAK | LAK | 3.16 | 1,005 | 53 | — |
| 54 | Dmitry KulikovDWPG | WPG | 3.16 | 893 | 47 | 3.2%▲3.1 |
| 55 | Nathan BeaulieuDWPG | WPG | 3.14 | 744 | 39 | — |
| 56 | Yanni GourdeFTBL | TBL | 3.13 | 1,267 | 66 | 4.9%▲4 |
| 57 | Jon MerrillDVGK | VGK | 3.12 | 1,019 | 53 | — |
| 58 | Erik CernakDTBL | TBL | 3.12 | 1,117 | 58 | 4.1%▲3.7 |
| 59 | Andrei SvechnikovFCAR | CAR | 3.10 | 1,201 | 62 | 97%▲8.8 |
| 60 | Robert BortuzzoDSTL | STL | 3.09 | 913 | 47 | — |
| 61 | Ryan StromeFNYR | NYR | 3.04 | 1,261 | 64 | 4.0%▲3.9 |
| 62 | Kevan MillerDBOS | BOS | 3.03 | 692 | 35 | — |
| 63 | Noel AcciariFBOS | BOS | 3.02 | 935 | 47 | 3.3%▲3.1 |
| 64 | Vincent TrocheckFFLA | FLA | 3.00 | 1,081 | 54 | 88%▼5.4 |
| 65 | Chris WagnerFBOS | BOS | 2.99 | 1,022 | 51 | — |
| 66 | Matt CalvertFCOL | COL | 2.99 | 1,164 | 58 | — |
| 67 | Troy BrouwerFFLA | FLA | 2.96 | 952 | 47 | — |
| 68 | Brandon DubinskyFCBJ | CBJ | 2.87 | 754 | 36 | — |
| 69 | David PerronFSTL | STL | 2.83 | 974 | 46 | 0.2% |
| 70 | Marcus PetterssonDPIT | PIT | 2.83 | 1,401 | 66 | 6.6%▲6.2 |
| 71 | Roman PolakDDAL | DAL | 2.80 | 1,476 | 69 | — |
| 72 | Scott MayfieldDNYI | NYI | 2.76 | 1,480 | 68 | 0.1% |
| 73 | Radko GudasDPHI | PHI | 2.75 | 1,376 | 63 | 25%▲22 |
| 74 | Robert HaggDPHI | PHI | 2.72 | 1,390 | 63 | — |
| 75 | Chris KunitzFCHI | CHI | 2.72 | 507 | 23 | — |
| 76 | Dylan LarkinFDET | DET | 2.71 | 1,660 | 75 | 96% |
| 77 | Alexander PetrovicDEDM | EDM | 2.70 | 578 | 26 | 0.1% |
| 78 | Thomas HickeyDNYI | NYI | 2.67 | 740 | 33 | — |
| 79 | Darnell NurseDEDM | EDM | 2.67 | 1,953 | 87 | 69%▼13 |
| 80 | Ryan GetzlafFANA | ANA | 2.67 | 1,304 | 58 | — |
| 81 | Ryan KeslerFANA | ANA | 2.67 | 990 | 44 | — |
| 82 | Zachary Aston-ReeseFPIT | PIT | 2.66 | 587 | 26 | 0.0% |
| 83 | Pierre-Luc DuboisFCBJ | CBJ | 2.64 | 1,453 | 64 | 42%▲33 |
| 84 | Michal KempnyDWSH | WSH | 2.64 | 1,362 | 60 | — |
| 85 | Matthew TkachukFCGY | CGY | 2.64 | 1,408 | 62 | 100%▲2.6 |
| 86 | Mathieu PerreaultFWPG | WPG | 2.63 | 1,003 | 44 | — |
| 87 | Zdeno CharaDBOS | BOS | 2.62 | 1,307 | 57 | — |
| 88 | Scott LaughtonFPHI | PHI | 2.61 | 1,218 | 53 | 5.6%▲5.5 |
| 89 | Patrik NemethDCOL | COL | 2.61 | 1,220 | 53 | — |
| 90 | Brandon ManningDEDM | EDM | 2.59 | 579 | 25 | — |
| 91 | Cal ClutterbuckFNYI | NYI | 2.59 | 1,020 | 44 | — |
| 92 | Josh AndersonFCBJ | CBJ | 2.58 | 1,396 | 60 | 10%▲9.2 |
| 93 | Steven KampferDBOS | BOS | 2.58 | 512 | 22 | — |
| 94 | Ben ChiarotDWPG | WPG | 2.56 | 1,452 | 62 | 13%▲11 |
| 95 | Adrian KempeFLAK | LAK | 2.55 | 1,175 | 50 | 97%▼0.6 |
| 96 | Jake VirtanenFVAN | VAN | 2.54 | 1,037 | 44 | — |
| 97 | P.K. SubbanDNSH | NSH | 2.52 | 1,428 | 60 | — |
| 98 | Brenden DillonDSJS | SJS | 2.52 | 1,455 | 61 | 9.7%▲9.1 |
| 99 | Michael RafflFPHI | PHI | 2.51 | 765 | 32 | — |
| 100 | Kenny AgostinoFNJD | NJD | 2.51 | 814 | 34 | — |
Minimum sample: 504 minutes (it scales with games played). 313 below the minimum are hidden.
How to read it
Penalty Minutes per 60 minutes of ice time, all situations.
How reliable is it?
Rates settle faster than totals but need minutes: early in the season, low-minute players swing the most.
About our data sources →Projected next
Our fantasy projections for penalty minutes: who should lead the coming games.