Counting stats
NHL Hits per 60 Leaders
2022-23All situationsThrough 85 team games
This board ranks skaters by hits 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.
Hits are body checks credited by the off-ice scorer. Physical third-liners and stay-at-home defensemen lead the league, often while their team spends long stretches without the puck. 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: Michael Pezzetta (MTL), 24.42 HIT/60.
- Legacy recording: before 2024-25 turnovers and hits were recorded arena by arena with large scorer bias. Compare players within this season only.
Hits per 60 leaderboard
| # | Player | Team | HIT/60 | HIT | ||
|---|---|---|---|---|---|---|
| 1 | Michael PezzettaFMTL | MTL | 24.42 | 587 | 239 | 0.0% |
| 2 | Nicolas DeslauriersFPHI | PHI | 22.74 | 808 | 306 | 0.2% |
| 3 | Keegan KolesarFVGK | VGK | 19.72 | 849 | 279 | 5.2%▲3.4 |
| 4 | Matt MartinFNYI | NYI | 19.60 | 903 | 295 | — |
| 5 | Cal ClutterbuckFNYI | NYI | 19.43 | 599 | 194 | — |
| 6 | Liam O'BrienFARI | ARI | 19.03 | 640 | 203 | 0.1% |
| 7 | Josh ArchibaldFPIT | PIT | 18.91 | 619 | 195 | — |
| 8 | Parker KellyFOTT | OTT | 17.86 | 578 | 172 | 11%▲5.6 |
| 9 | Ryan ReavesFMIN | MIN | 17.28 | 680 | 196 | 0.3% |
| 10 | Sammy BlaisFSTL | STL | 17.05 | 838 | 238 | — |
| 11 | Reese JohnsonFCHI | CHI | 17.02 | 628 | 178 | — |
| 12 | Luke SchennDTOR | TOR | 16.67 | 1,145 | 318 | 7.3%▲6.9 |
| 13 | Klim KostinFEDM | EDM | 16.43 | 573 | 157 | — |
| 14 | Garnet HathawayFBOS | BOS | 16.23 | 991 | 268 | 4.8%▲4.6 |
| 15 | Tanner JeannotFTBL | TBL | 16.06 | 1,083 | 290 | 6.5%▲6.1 |
| 16 | Mark KastelicFOTT | OTT | 15.98 | 578 | 154 | 13%▲12 |
| 17 | Brandon DuhaimeFMIN | MIN | 15.97 | 549 | 146 | 3.2%▲3 |
| 18 | Jack McBainFARI | ARI | 15.91 | 1,146 | 304 | 17%▲15 |
| 19 | Radko GudasDFLA | FLA | 14.98 | 1,250 | 312 | 25%▲22 |
| 20 | Wade AllisonFPHI | PHI | 14.73 | 774 | 190 | — |
| 21 | Dakota JoshuaFVAN | VAN | 14.63 | 910 | 222 | 4.8%▲4.6 |
| 22 | Marcus FolignoFMIN | MIN | 14.59 | 974 | 237 | 4.2%▲3.4 |
| 23 | Patrick BrownFOTT | OTT | 14.44 | 694 | 167 | — |
| 24 | Paul CotterFVGK | VGK | 14.29 | 705 | 168 | 19%▲19 |
| 25 | Curtis LazarFNJD | NJD | 14.16 | 585 | 138 | 0.0% |
| 26 | Carl GrundstromFLAK | LAK | 14.10 | 613 | 144 | 0.1% |
| 27 | Andreas EnglundDCHI | CHI | 14.02 | 569 | 133 | 0.0% |
| 28 | Mathieu OlivierFCBJ | CBJ | 13.91 | 768 | 178 | 18%▲15 |
| 29 | Zack MacEwenFLAK | LAK | 13.89 | 648 | 150 | 0.1% |
| 30 | Cole SmithFNSH | NSH | 13.51 | 879 | 198 | 0.1% |
| 31 | Jeremy LauzonDNSH | NSH | 13.29 | 1,128 | 250 | 24%▲22 |
| 32 | Noel AcciariFTOR | TOR | 13.28 | 1,102 | 244 | 3.3%▲3.1 |
| 33 | Nick RitchieFCGY | CGY | 13.05 | 1,003 | 218 | — |
| 34 | Austin WatsonFOTT | OTT | 12.90 | 767 | 165 | — |
| 35 | Patrick MaroonFTBL | TBL | 12.47 | 828 | 172 | — |
| 36 | Arber XhekajDMTL | MTL | 12.25 | 779 | 159 | 10%▲6.3 |
| 37 | Nick FolignoFBOS | BOS | 11.89 | 742 | 147 | 4.1%▲3.6 |
| 38 | Kyle BurroughsDVAN | VAN | 11.88 | 833 | 165 | 0.0% |
| 39 | Adam ErneFDET | DET | 11.76 | 816 | 160 | 0.0% |
| 40 | Nicolas Aube-KubelFWSH | WSH | 11.67 | 602 | 117 | — |
| 41 | Zachary Aston-ReeseFTOR | TOR | 11.62 | 841 | 163 | 0.0% |
| 42 | Milan LucicFCGY | CGY | 11.58 | 871 | 168 | — |
| 43 | Jarred TinordiDCHI | CHI | 11.52 | 724 | 139 | — |
| 44 | William CarrierFVGK | VGK | 11.32 | 705 | 133 | 0.1% |
| 45 | Robert HaggDDET | DET | 11.29 | 590 | 111 | — |
| 46 | Ross ColtonFTBL | TBL | 11.27 | 1,000 | 188 | 8.1%▲7.8 |
| 47 | Nathan BastianFNJD | NJD | 11.11 | 535 | 99 | 0.0% |
| 48 | A.J. GreerFBOS | BOS | 10.91 | 556 | 101 | 7.5%▲5.8 |
| 49 | Sam CarrickFANA | ANA | 10.70 | 549 | 98 | 0.1% |
| 50 | Sean KuralyFCBJ | CBJ | 10.48 | 1,070 | 187 | 0.2% |
| 51 | Saku MaenalanenFWPG | WPG | 10.25 | 661 | 113 | — |
| 52 | Tyler PitlickFSTL | STL | 10.06 | 615 | 103 | 0.1% |
| 53 | Tom WilsonFWSH | WSH | 10.01 | 581 | 97 | 94%▲6.3 |
| 54 | Zach BogosianDTBL | TBL | 9.93 | 689 | 114 | 0.4% |
| 55 | Brandon TanevFSEA | SEA | 9.78 | 1,166 | 190 | 0.1% |
| 56 | Jason ZuckerFPIT | PIT | 9.73 | 1,221 | 198 | 23%▲17 |
| 57 | Martin FehérváryDWSH | WSH | 9.72 | 1,340 | 217 | 27%▼7.7 |
| 58 | Michael EyssimontFTBL | TBL | 9.70 | 662 | 107 | 0.1% |
| 59 | Evander KaneFEDM | EDM | 9.70 | 767 | 124 | 5.7%▲0.8 |
| 60 | Ryan LombergFFLA | FLA | 9.64 | 927 | 149 | 0.1% |
| 61 | MacKenzie EntwistleFCHI | CHI | 9.61 | 787 | 126 | 0.0% |
| 62 | Casey CizikasFNYI | NYI | 9.58 | 1,177 | 188 | 0.1% |
| 63 | Trevor LewisFCGY | CGY | 9.54 | 994 | 158 | — |
| 64 | Brady TkachukFOTT | OTT | 9.50 | 1,528 | 242 | 100%▲2 |
| 65 | Evgeny SvechnikovFSJS | SJS | 9.46 | 634 | 100 | — |
| 66 | Nic DowdFWSH | WSH | 9.40 | 868 | 136 | 3.2%▲3.1 |
| 67 | Erik CernakDTBL | TBL | 9.31 | 1,347 | 209 | 4.1%▲3.7 |
| 68 | Jujhar KhairaFCHI | CHI | 9.15 | 708 | 108 | — |
| 69 | Brett HowdenFVGK | VGK | 9.10 | 705 | 107 | 16%▲15 |
| 70 | Jesse PuljujarviFCAR | CAR | 9.09 | 917 | 139 | — |
| 71 | Tyler MotteFNYR | NYR | 9.08 | 780 | 118 | — |
| 72 | Will BorgenDSEA | SEA | 9.08 | 1,342 | 203 | 4.1%▲3.8 |
| 73 | Connor CliftonDBOS | BOS | 8.96 | 1,393 | 208 | 7.4%▲6.7 |
| 74 | Matt IrwinDWSH | WSH | 8.83 | 795 | 117 | — |
| 75 | Joseph VelenoFDET | DET | 8.81 | 1,035 | 152 | 4.1%▲3.9 |
| 76 | Alexey ToropchenkoFSTL | STL | 8.78 | 833 | 122 | 0.1% |
| 77 | Yakov TreninFNSH | NSH | 8.59 | 1,166 | 167 | 22%▲16 |
| 78 | Simon BenoitDANA | ANA | 8.59 | 1,509 | 216 | 4.9%▲4.4 |
| 79 | Nathan WalkerFSTL | STL | 8.54 | 576 | 82 | 0.1% |
| 80 | Lawson CrouseFARI | ARI | 8.51 | 1,367 | 194 | 36%▲13 |
| 81 | Jean-Gabriel PageauFNYI | NYI | 8.51 | 1,233 | 175 | 12%▲11 |
| 82 | Joshua BrownDARI | ARI | 8.51 | 1,072 | 152 | 0.0% |
| 83 | Jani HakanpääDDAL | DAL | 8.48 | 1,585 | 224 | — |
| 84 | Michael RasmussenFDET | DET | 8.45 | 845 | 119 | 0.1% |
| 85 | Steven LorentzFSJS | SJS | 8.43 | 947 | 133 | 0.0% |
| 86 | Connor DewarFMIN | MIN | 8.38 | 888 | 124 | 4.2%▲3.1 |
| 87 | Jeff PetryDPIT | PIT | 8.36 | 1,363 | 190 | 0.1% |
| 88 | Radim SimekDSJS | SJS | 8.30 | 643 | 89 | — |
| 89 | Joel KivirantaFDAL | DAL | 8.25 | 851 | 117 | 0.1% |
| 90 | Sam BennettFFLA | FLA | 8.21 | 1,097 | 150 | 84%▲4.3 |
| 91 | Luke GlendeningFDAL | DAL | 8.10 | 844 | 114 | 0.0% |
| 92 | Alexander RomanovDNYI | NYI | 8.04 | 1,478 | 198 | 15%▲15 |
| 93 | Nick BjugstadFEDM | EDM | 7.98 | 1,264 | 168 | 0.1% |
| 94 | Ivan BarbashevFVGK | VGK | 7.95 | 1,374 | 182 | 68%▲27 |
| 95 | Chad RuhwedelDPIT | PIT | 7.89 | 685 | 90 | — |
| 96 | Noah GregorFSJS | SJS | 7.87 | 740 | 97 | 0.0% |
| 97 | Mason ShawFMIN | MIN | 7.84 | 666 | 87 | 0.0% |
| 98 | Nino NiederreiterFWPG | WPG | 7.79 | 1,270 | 165 | 4.0%▲3.8 |
| 99 | Michael McLeodFNJD | NJD | 7.77 | 980 | 127 | — |
| 100 | T.J. OshieFWSH | WSH | 7.73 | 970 | 125 | — |
Minimum sample: 510 minutes (it scales with games played). 338 below the minimum are hidden.
How to read it
Hits 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 hits: who should lead the coming games.