Counting stats
NHL Penalty Minutes per 60 Leaders
2022-23All situationsThrough 85 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 2022-23: A.J. Greer (BOS), 12.31 PIM/60.
Penalty Minutes per 60 leaderboard
| # | Player | Team | PIM/60 | PIM | ||
|---|---|---|---|---|---|---|
| 1 | A.J. GreerFBOS | BOS | 12.31 | 556 | 114 | 7.5%▲5.8 |
| 2 | Patrick MaroonFTBL | TBL | 10.88 | 828 | 150 | — |
| 3 | Liam O'BrienFARI | ARI | 10.69 | 640 | 114 | 0.1% |
| 4 | Mark KastelicFOTT | OTT | 10.59 | 578 | 102 | 13%▲12 |
| 5 | Nicolas DeslauriersFPHI | PHI | 10.10 | 808 | 136 | 0.2% |
| 6 | Austin WatsonFOTT | OTT | 9.62 | 767 | 123 | — |
| 7 | Sam CarrickFANA | ANA | 9.39 | 549 | 86 | 0.1% |
| 8 | Tom WilsonFWSH | WSH | 8.05 | 581 | 78 | 94%▲6.3 |
| 9 | Michael PezzettaFMTL | MTL | 7.87 | 587 | 77 | 0.0% |
| 10 | Chris WidemanDMTL | MTL | 7.82 | 622 | 81 | — |
| 11 | Arber XhekajDMTL | MTL | 7.78 | 779 | 101 | 10%▲6.3 |
| 12 | Mason ShawFMIN | MIN | 7.12 | 666 | 79 | 0.0% |
| 13 | Klim KostinFEDM | EDM | 6.91 | 573 | 66 | — |
| 14 | Mathieu OlivierFCBJ | CBJ | 6.33 | 768 | 81 | 18%▲15 |
| 15 | Zack MacEwenFLAK | LAK | 6.11 | 648 | 66 | 0.1% |
| 16 | Corey PerryFTBL | TBL | 6.09 | 937 | 95 | 7.4%▲5.9 |
| 17 | Marcus FolignoFMIN | MIN | 5.97 | 974 | 97 | 4.2%▲3.4 |
| 18 | Tanner JeannotFTBL | TBL | 5.93 | 1,083 | 107 | 6.5%▲6.1 |
| 19 | Michael EyssimontFTBL | TBL | 5.71 | 662 | 63 | 0.1% |
| 20 | Ryan LombergFFLA | FLA | 5.69 | 927 | 88 | 0.1% |
| 21 | Ryan HartmanFMIN | MIN | 5.62 | 962 | 90 | 40%▼17 |
| 22 | Max JonesFANA | ANA | 5.27 | 877 | 77 | 0.1% |
| 23 | Maxime ComtoisFANA | ANA | 5.16 | 884 | 76 | — |
| 24 | Brendan GallagherFMTL | MTL | 5.11 | 528 | 45 | 3.3%▲2.8 |
| 25 | Cal FooteDNSH | NSH | 5.00 | 756 | 63 | — |
| 26 | Nicolas Aube-KubelFWSH | WSH | 4.99 | 602 | 50 | — |
| 27 | Miles WoodFNJD | NJD | 4.96 | 920 | 76 | 0.1% |
| 28 | Brady TkachukFOTT | OTT | 4.95 | 1,528 | 126 | 100%▲2 |
| 29 | Joshua BrownDARI | ARI | 4.87 | 1,072 | 87 | 0.0% |
| 30 | Keegan KolesarFVGK | VGK | 4.81 | 849 | 68 | 5.2%▲3.4 |
| 31 | Michael BuntingFTOR | TOR | 4.77 | 1,295 | 103 | 3.7%▲1 |
| 32 | Brett HowdenFVGK | VGK | 4.68 | 705 | 55 | 16%▲15 |
| 33 | Brandon DuhaimeFMIN | MIN | 4.59 | 549 | 42 | 3.2%▲3 |
| 34 | Matthew TkachukFFLA | FLA | 4.57 | 1,614 | 123 | 100%▲2.6 |
| 35 | Mason MarchmentFDAL | DAL | 4.49 | 1,068 | 80 | 47%▲34 |
| 36 | Kyle BurroughsDVAN | VAN | 4.46 | 833 | 62 | 0.0% |
| 37 | Luke SchennDTOR | TOR | 4.40 | 1,145 | 84 | 7.3%▲6.9 |
| 38 | Marcus BjorkDCBJ | CBJ | 4.21 | 599 | 42 | — |
| 39 | Matt MartinFNYI | NYI | 4.19 | 903 | 63 | — |
| 40 | Garnet HathawayFBOS | BOS | 4.18 | 991 | 69 | 4.8%▲4.6 |
| 41 | Josh ArchibaldFPIT | PIT | 4.17 | 619 | 43 | — |
| 42 | Evander KaneFEDM | EDM | 4.15 | 767 | 53 | 5.7%▲0.8 |
| 43 | Cole SmithFNSH | NSH | 4.09 | 879 | 60 | 0.1% |
| 44 | Brendan SmithDNJD | NJD | 4.05 | 933 | 63 | — |
| 45 | Blake LizotteFLAK | LAK | 4.01 | 1,048 | 70 | 0.1% |
| 46 | Dakota JoshuaFVAN | VAN | 3.96 | 910 | 60 | 4.8%▲4.6 |
| 47 | Parker KellyFOTT | OTT | 3.84 | 578 | 37 | 11%▲5.6 |
| 48 | Travis KonecnyFPHI | PHI | 3.83 | 1,207 | 77 | 92%▲9.6 |
| 49 | Sean KuralyFCBJ | CBJ | 3.81 | 1,070 | 68 | 0.2% |
| 50 | Patrick BrownFOTT | OTT | 3.80 | 694 | 44 | — |
| 51 | Radko GudasDFLA | FLA | 3.79 | 1,250 | 79 | 25%▲22 |
| 52 | Ryan ReavesFMIN | MIN | 3.79 | 680 | 43 | 0.3% |
| 53 | Josh AndersonFMTL | MTL | 3.69 | 1,170 | 72 | 10%▲9.2 |
| 54 | Andreas EnglundDCHI | CHI | 3.69 | 569 | 35 | 0.0% |
| 55 | Andrei SvechnikovFCAR | CAR | 3.69 | 1,155 | 71 | 97%▲8.8 |
| 56 | Zach BogosianDTBL | TBL | 3.66 | 689 | 42 | 0.4% |
| 57 | T.J. OshieFWSH | WSH | 3.65 | 970 | 59 | — |
| 58 | Nick FolignoFBOS | BOS | 3.64 | 742 | 45 | 4.1%▲3.6 |
| 59 | Reese JohnsonFCHI | CHI | 3.63 | 628 | 38 | — |
| 60 | Trent FredericFBOS | BOS | 3.63 | 942 | 57 | 4.0%▲3.8 |
| 61 | Kevin BahlDNJD | NJD | 3.57 | 589 | 35 | 4.8%▲4.6 |
| 62 | Luke GlendeningFDAL | DAL | 3.55 | 844 | 50 | 0.0% |
| 63 | Jeremy LauzonDNSH | NSH | 3.51 | 1,128 | 66 | 24%▲22 |
| 64 | Nathan BastianFNJD | NJD | 3.48 | 535 | 31 | 0.0% |
| 65 | Tomas NosekFBOS | BOS | 3.48 | 828 | 48 | — |
| 66 | Trevor ZegrasFANA | ANA | 3.46 | 1,525 | 88 | 86%▲18 |
| 67 | Max DomiFDAL | DAL | 3.46 | 1,422 | 82 | 5.8%▲4.6 |
| 68 | Ryan DonatoFSEA | SEA | 3.45 | 799 | 46 | 9.9%▲4.3 |
| 69 | Pierre-Luc DuboisFWPG | WPG | 3.43 | 1,347 | 77 | 42%▲33 |
| 70 | Ryan StromeFANA | ANA | 3.39 | 1,397 | 79 | 4.0%▲3.9 |
| 71 | Connor DewarFMIN | MIN | 3.38 | 888 | 50 | 4.2%▲3.1 |
| 72 | Jack McBainFARI | ARI | 3.35 | 1,146 | 64 | 17%▲15 |
| 73 | Brandon MontourDFLA | FLA | 3.33 | 1,930 | 107 | 83%▲10 |
| 74 | Jarred TinordiDCHI | CHI | 3.31 | 724 | 40 | — |
| 75 | Michael StoneDCGY | CGY | 3.29 | 639 | 35 | — |
| 76 | Yanni GourdeFSEA | SEA | 3.29 | 1,388 | 76 | 4.9%▲4 |
| 77 | Brad MarchandFBOS | BOS | 3.28 | 1,353 | 74 | 73%▲0.7 |
| 78 | Evgeni MalkinFPIT | PIT | 3.23 | 1,524 | 82 | 82%▲11 |
| 79 | Robert BortuzzoDSTL | STL | 3.22 | 540 | 29 | — |
| 80 | Carson SoucyDSEA | SEA | 3.21 | 1,271 | 68 | 0.1% |
| 81 | Nick RitchieFCGY | CGY | 3.17 | 1,003 | 53 | — |
| 82 | Nikita ZadorovDCGY | CGY | 3.13 | 1,532 | 80 | 39%▲21 |
| 83 | Dylan GambrellFOTT | OTT | 3.07 | 683 | 35 | — |
| 84 | Travis HamonicDOTT | OTT | 3.06 | 1,392 | 71 | 0.1% |
| 85 | Michael RasmussenFDET | DET | 3.05 | 845 | 43 | 0.1% |
| 86 | Nick SeelerDPHI | PHI | 3.01 | 1,116 | 56 | 8.1%▲7.6 |
| 87 | Cal ClutterbuckFNYI | NYI | 3.01 | 599 | 30 | — |
| 88 | Ross ColtonFTBL | TBL | 3.00 | 1,000 | 50 | 8.1%▲7.8 |
| 89 | Barclay GoodrowFNYR | NYR | 2.99 | 1,162 | 58 | 0.1% |
| 90 | Jamie OleksiakDSEA | SEA | 2.99 | 1,444 | 72 | 7.1%▲6.9 |
| 91 | Milan LucicFCGY | CGY | 2.96 | 871 | 43 | — |
| 92 | Sam BennettFFLA | FLA | 2.95 | 1,097 | 54 | 84%▲4.3 |
| 93 | Nathan BeaulieuDANA | ANA | 2.95 | 792 | 39 | — |
| 94 | Riley StillmanDBUF | BUF | 2.95 | 732 | 36 | 0.0% |
| 95 | Frank VatranoFANA | ANA | 2.93 | 1,351 | 66 | 6.4%▲6.2 |
| 96 | Peyton KrebsFBUF | BUF | 2.93 | 1,024 | 50 | 19%▲17 |
| 97 | Joel EdmundsonDMTL | MTL | 2.92 | 1,194 | 58 | 4.0%▲3.9 |
| 98 | Mathew DumbaDMIN | MIN | 2.89 | 1,681 | 81 | 0.1% |
| 99 | Scott MayfieldDNYI | NYI | 2.89 | 1,724 | 83 | 0.1% |
| 100 | Jake MiddletonDMIN | MIN | 2.87 | 1,504 | 72 | 5.7%▲5.3 |
Minimum sample: 510 minutes (it scales with games played). 338 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.