Counting stats
NHL Hits per 60 Leaders
2021-22All situationsThrough 82 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 2021-22: Ryan Reaves (NYR), 22.78 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
625 qualified
Show
| # | Player | Team | HIT/60 | HIT | ||
|---|---|---|---|---|---|---|
| 1 | Ryan ReavesFNYR | NYR | 22.78 | 735 | 279 | 0.3% |
| 2 | Matt MartinFNYI | NYI | 17.36 | 812 | 235 | — |
| 3 | Nicolas DeslauriersFMIN | MIN | 17.14 | 921 | 263 | 0.2% |
| 4 | Cal ClutterbuckFNYI | NYI | 16.58 | 828 | 229 | — |
| 5 | Austin WatsonFOTT | OTT | 15.91 | 803 | 213 | — |
| 6 | Mark BorowieckiDNSH | NSH | 15.74 | 747 | 196 | — |
| 7 | Zachary Aston-ReeseFANA | ANA | 15.41 | 900 | 231 | 0.0% |
| 8 | Radko GudasDFLA | FLA | 15.35 | 1,387 | 355 | 25%▲22 |
| 9 | Keegan KolesarFVGK | VGK | 15.15 | 974 | 246 | 5.2%▲3.4 |
| 10 | Brandon DuhaimeFMIN | MIN | 14.75 | 817 | 201 | 3.2%▲3 |
| 11 | Garnet HathawayFWSH | WSH | 14.74 | 1,018 | 250 | 4.8%▲4.6 |
| 12 | Tanner JeannotFNSH | NSH | 14.73 | 1,295 | 318 | 6.5%▲6.1 |
| 13 | Nathan BastianFNJD | NJD | 14.70 | 857 | 210 | 0.0% |
| 14 | Luke SchennDVAN | VAN | 14.42 | 1,136 | 273 | 7.3%▲6.9 |
| 15 | Boris KatchoukFCHI | CHI | 14.15 | 585 | 138 | 0.0% |
| 16 | MacKenzie EntwistleFCHI | CHI | 13.74 | 563 | 129 | 0.0% |
| 17 | Carl GrundstromFLAK | LAK | 13.67 | 588 | 134 | 0.1% |
| 18 | Brendan LemieuxFLAK | LAK | 13.62 | 537 | 122 | — |
| 19 | Zack KassianFEDM | EDM | 13.52 | 684 | 154 | — |
| 20 | Simon BenoitDANA | ANA | 13.50 | 747 | 168 | 4.9%▲4.4 |
| 21 | Kyle BurroughsDVAN | VAN | 13.47 | 543 | 122 | 0.0% |
| 22 | Curtis LazarFBOS | BOS | 13.29 | 840 | 186 | 0.0% |
| 23 | Wayne SimmondsFTOR | TOR | 13.22 | 672 | 148 | — |
| 24 | Zack MacEwenFPHI | PHI | 13.16 | 725 | 159 | 0.1% |
| 25 | Michael McCarronFNSH | NSH | 13.14 | 530 | 116 | 7.3%▲6.9 |
| 26 | William CarrierFVGK | VGK | 13.03 | 732 | 159 | 0.1% |
| 27 | Nick RitchieFARI | ARI | 12.68 | 724 | 153 | — |
| 28 | Milan LucicFCGY | CGY | 12.48 | 1,005 | 209 | — |
| 29 | Nick FolignoFBOS | BOS | 12.34 | 798 | 164 | 4.1%▲3.6 |
| 30 | Luke KuninFNSH | NSH | 11.80 | 1,134 | 223 | 0.0% |
| 31 | Sean KuralyFCBJ | CBJ | 11.79 | 1,221 | 240 | 0.2% |
| 32 | Marcus FolignoFMIN | MIN | 11.76 | 1,214 | 238 | 4.2%▲3.4 |
| 33 | Julien GauthierFNYR | NYR | 11.64 | 505 | 98 | — |
| 34 | Kieffer BellowsFNYI | NYI | 11.58 | 534 | 103 | — |
| 35 | Nicolas Aube-KubelFCOL | COL | 11.56 | 726 | 140 | — |
| 36 | Jeremy LauzonDNSH | NSH | 11.52 | 1,166 | 224 | 24%▲22 |
| 37 | Jani HakanpääDDAL | DAL | 11.48 | 1,297 | 248 | — |
| 38 | Adam LowryFWPG | WPG | 11.33 | 1,223 | 231 | 5.7%▲5.5 |
| 39 | Nicolas MelocheDSJS | SJS | 11.24 | 844 | 158 | — |
| 40 | Ryan LombergFFLA | FLA | 11.19 | 627 | 117 | 0.1% |
| 41 | Patrick BrownFPHI | PHI | 10.97 | 547 | 100 | — |
| 42 | Joel KivirantaFDAL | DAL | 10.91 | 533 | 97 | 0.1% |
| 43 | Brady TkachukFOTT | OTT | 10.91 | 1,485 | 270 | 100%▲2 |
| 44 | Sam LaffertyFCHI | CHI | 10.82 | 760 | 137 | 0.0% |
| 45 | Eeli TolvanenFNSH | NSH | 10.49 | 1,007 | 176 | 35%▼9.7 |
| 46 | John HaydenFBUF | BUF | 10.46 | 597 | 104 | — |
| 47 | Jordan GreenwayFMIN | MIN | 10.30 | 903 | 155 | 0.3% |
| 48 | Trevor LewisFCGY | CGY | 10.29 | 1,027 | 176 | — |
| 49 | Trent FredericFBOS | BOS | 10.21 | 699 | 119 | 4.0%▲3.8 |
| 50 | Nick BjugstadFMIN | MIN | 10.16 | 585 | 99 | 0.1% |
| 51 | Sam CarrickFANA | ANA | 9.97 | 734 | 122 | 0.1% |
| 52 | Tom WilsonFWSH | WSH | 9.94 | 1,449 | 240 | 94%▲6.3 |
| 53 | Dryden HuntFNYR | NYR | 9.83 | 934 | 153 | 0.0% |
| 54 | Jordan StaalFCAR | CAR | 9.80 | 1,297 | 212 | 20%▲13 |
| 55 | Yakov TreninFNSH | NSH | 9.77 | 1,173 | 191 | 22%▲16 |
| 56 | Rasmus RistolainenDPHI | PHI | 9.75 | 1,415 | 230 | 8.3%▲7.7 |
| 57 | Connor CliftonDBOS | BOS | 9.71 | 964 | 156 | 7.4%▲6.7 |
| 58 | Will BorgenDSEA | SEA | 9.71 | 550 | 89 | 4.1%▲3.8 |
| 59 | Martin FehérváryDWSH | WSH | 9.70 | 1,553 | 251 | 27%▼7.7 |
| 60 | Evander KaneFEDM | EDM | 9.68 | 836 | 135 | 5.7%▲0.8 |
| 61 | Ryan CarpenterFCGY | CGY | 9.68 | 843 | 136 | — |
| 62 | Lawson CrouseFARI | ARI | 9.59 | 1,133 | 181 | 36%▲13 |
| 63 | Joshua BrownDBOS | BOS | 9.58 | 739 | 118 | 0.0% |
| 64 | Patrick MaroonFTBL | TBL | 9.56 | 1,004 | 160 | — |
| 65 | Darren HelmFCOL | COL | 9.53 | 717 | 114 | — |
| 66 | Erik CernakDTBL | TBL | 9.40 | 1,053 | 165 | 4.1%▲3.7 |
| 67 | Riley StillmanDCHI | CHI | 9.35 | 783 | 122 | 0.0% |
| 68 | Luke GlendeningFDAL | DAL | 9.28 | 1,157 | 179 | 0.0% |
| 69 | Zach BogosianDTBL | TBL | 9.28 | 737 | 114 | 0.4% |
| 70 | Adam ErneFDET | DET | 9.14 | 1,057 | 161 | 0.0% |
| 71 | Nic DowdFWSH | WSH | 9.14 | 913 | 139 | 3.2%▲3.1 |
| 72 | Ross ColtonFTBL | TBL | 9.08 | 1,011 | 153 | 8.1%▲7.8 |
| 73 | Maxime ComtoisFANA | ANA | 9.06 | 735 | 111 | — |
| 74 | Justin DanforthFCBJ | CBJ | 9.02 | 566 | 85 | 0.0% |
| 75 | Mason MarchmentFFLA | FLA | 8.97 | 762 | 114 | 47%▲34 |
| 76 | Zachary SanfordFWPG | WPG | 8.86 | 1,144 | 169 | — |
| 77 | Colton SissonsFNSH | NSH | 8.83 | 1,277 | 188 | 3.3%▲3.1 |
| 78 | Kevin ConnautonDPHI | PHI | 8.71 | 510 | 74 | — |
| 79 | Nikita ZadorovDCGY | CGY | 8.68 | 1,251 | 181 | 39%▲21 |
| 80 | Logan StanleyDWPG | WPG | 8.66 | 907 | 131 | 6.6%▲5.9 |
| 81 | Tyler MotteFNYR | NYR | 8.64 | 813 | 117 | — |
| 82 | Brenden DillonDWPG | WPG | 8.55 | 1,488 | 212 | 9.7%▲9.1 |
| 83 | Dominic ToninatoFWPG | WPG | 8.54 | 647 | 92 | 0.0% |
| 84 | Casey FitzgeraldDBUF | BUF | 8.49 | 608 | 86 | — |
| 85 | Michael McLeodFNJD | NJD | 8.48 | 1,026 | 145 | — |
| 86 | Joseph VelenoFDET | DET | 8.46 | 872 | 123 | 4.1%▲3.9 |
| 87 | Alexander RomanovDMTL | MTL | 8.45 | 1,611 | 227 | 15%▲15 |
| 88 | Josh MansonDCOL | COL | 8.45 | 1,272 | 179 | 32%▲16 |
| 89 | Andrei SvechnikovFCAR | CAR | 8.42 | 1,346 | 189 | 97%▲8.8 |
| 90 | Ilya LyubushkinDTOR | TOR | 8.35 | 1,344 | 187 | 0.1% |
| 91 | Derick BrassardFEDM | EDM | 8.29 | 594 | 82 | — |
| 92 | Scott LaughtonFPHI | PHI | 8.23 | 1,100 | 151 | 5.6%▲5.5 |
| 93 | Patric HornqvistFFLA | FLA | 8.16 | 824 | 112 | — |
| 94 | Blake ColemanFCGY | CGY | 8.15 | 1,200 | 163 | 38%▼24 |
| 95 | Casey CizikasFNYI | NYI | 8.14 | 1,017 | 138 | 0.1% |
| 96 | Karson KuhlmanFSEA | SEA | 8.13 | 524 | 71 | — |
| 97 | Dylan GambrellFOTT | OTT | 8.08 | 765 | 103 | — |
| 98 | Robert BortuzzoDSTL | STL | 8.08 | 1,003 | 135 | — |
| 99 | Robert HaggDFLA | FLA | 8.08 | 1,025 | 138 | — |
| 100 | Evgeny SvechnikovFWPG | WPG | 8.06 | 774 | 104 | — |
Minimum sample: 492 minutes (it scales with games played). 379 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.