Counting stats
NHL Hits per 60 Leaders
2025-26All situationsThrough 83 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 2025-26: Yakov Trenin (MIN), 22.75 HIT/60.
Hits per 60 leaderboard
| # | Player | Team | HIT/60 | HIT | ||
|---|---|---|---|---|---|---|
| 1 | Yakov TreninFMIN | MIN | 22.75 | 1,089 | 413 | 22%▲16 |
| 2 | Garnet HathawayFPHI | PHI | 22.02 | 687 | 252 | 4.8%▲4.6 |
| 3 | Adam KlapkaFCGY | CGY | 21.07 | 840 | 295 | 8.9%▲8.4 |
| 4 | Nathan WalkerFSTL | STL | 19.47 | 552 | 179 | 0.1% |
| 5 | Jeff MalottFLAK | LAK | 19.47 | 512 | 166 | 3.2%▲3.2 |
| 6 | Ross JohnstonFANA | ANA | 19.07 | 604 | 192 | 3.2%▲3.1 |
| 7 | Colton DachFEDM | EDM | 18.77 | 700 | 219 | 11%▲11 |
| 8 | Beck MalenstynFBUF | BUF | 18.58 | 911 | 282 | 4.1%▲3.7 |
| 9 | Brandon TanevFUTA | UTA | 17.75 | 524 | 155 | 0.1% |
| 10 | Dakota JoshuaFTOR | TOR | 17.37 | 674 | 195 | 4.8%▲4.6 |
| 11 | Keegan KolesarFVGK | VGK | 17.12 | 946 | 270 | 5.2%▲3.4 |
| 12 | Alex SteevesFBOS | BOS | 16.85 | 513 | 144 | 5.6%▲5.5 |
| 13 | Kiefer SherwoodFSJS | SJS | 16.36 | 1,243 | 339 | 59%▲6.6 |
| 14 | Cole KoepkeFWPG | WPG | 16.17 | 690 | 186 | 0.0% |
| 15 | Jack McBainFUTA | UTA | 15.66 | 1,039 | 271 | 17%▲15 |
| 16 | Marcus FolignoFMIN | MIN | 15.01 | 719 | 180 | 4.2%▲3.4 |
| 17 | Ryan LombergFCGY | CGY | 15.01 | 516 | 129 | 0.1% |
| 18 | Carl GrundstromFPHI | PHI | 14.97 | 557 | 139 | 0.1% |
| 19 | Tanner JeannotFBOS | BOS | 14.73 | 974 | 239 | 6.5%▲6.1 |
| 20 | Mathieu OlivierFCBJ | CBJ | 14.45 | 868 | 209 | 18%▲15 |
| 21 | Arber XhekajDMTL | MTL | 14.38 | 742 | 178 | 10%▲6.3 |
| 22 | Trent FredericFEDM | EDM | 14.18 | 817 | 193 | 4.0%▲3.8 |
| 23 | Zack OstapchukFSJS | SJS | 14.10 | 596 | 140 | 3.2%▲3.1 |
| 24 | Tyson KozakFBUF | BUF | 13.88 | 519 | 120 | 3.2%▲3.2 |
| 25 | William CarrierFCAR | CAR | 13.71 | 753 | 172 | 0.1% |
| 26 | Paul CotterFNJD | NJD | 13.66 | 844 | 192 | 19%▲19 |
| 27 | Tye KartyeFNYR | NYR | 13.56 | 766 | 173 | 7.2%▲7.1 |
| 28 | Jeffrey VielFANA | ANA | 13.52 | 537 | 121 | 4.0%▲3.9 |
| 29 | Joseph VelenoFMTL | MTL | 13.50 | 738 | 166 | 4.1%▲3.9 |
| 30 | Will CuylleFNYR | NYR | 13.11 | 1,382 | 302 | 64% |
| 31 | Luke SchennDBUF | BUF | 13.08 | 683 | 149 | 7.3%▲6.9 |
| 32 | Jeremy LauzonDVGK | VGK | 12.89 | 1,168 | 251 | 24%▲22 |
| 33 | Connor CliftonDPIT | PIT | 12.88 | 838 | 180 | 7.4%▲6.7 |
| 34 | A.J. GreerFFLA | FLA | 12.56 | 969 | 203 | 7.5%▲5.8 |
| 35 | Aatu RätyFVAN | VAN | 12.48 | 793 | 165 | 10%▲10 |
| 36 | Mark KastelicFBOS | BOS | 12.47 | 1,035 | 215 | 13%▲12 |
| 37 | Cole SmithFVGK | VGK | 12.41 | 837 | 173 | 0.1% |
| 38 | Cole ReinhardtFFLA | FLA | 12.32 | 628 | 129 | 0.1% |
| 39 | Luke KuninFFLA | FLA | 12.30 | 600 | 123 | 0.0% |
| 40 | Ty DellandreaFSJS | SJS | 11.95 | 653 | 130 | 3.2%▲3.1 |
| 41 | Kyle MacLeanFNYI | NYI | 11.70 | 621 | 121 | 0.0% |
| 42 | Vasily PodkolzinFEDM | EDM | 11.52 | 1,261 | 242 | 70%▲61 |
| 43 | Mathieu JosephFLAK | LAK | 11.29 | 611 | 115 | 0.1% |
| 44 | Nick FolignoFMIN | MIN | 11.24 | 683 | 128 | 4.1%▲3.6 |
| 45 | Michael McCarronFMIN | MIN | 11.10 | 1,108 | 205 | 7.3%▲6.9 |
| 46 | Steven LorentzFTOR | TOR | 10.97 | 842 | 154 | 0.0% |
| 47 | Nick CousinsFOTT | OTT | 10.96 | 925 | 169 | 0.1% |
| 48 | Emil HeinemanFNYI | NYI | 10.88 | 1,363 | 247 | 32%▲25 |
| 49 | Radko GudasDANA | ANA | 10.86 | 906 | 164 | 25%▲22 |
| 50 | Zemgus GirgensonsFTBL | TBL | 10.71 | 1,093 | 195 | 3.2%▲3 |
| 51 | Peyton KrebsFBUF | BUF | 10.69 | 1,129 | 201 | 19%▲17 |
| 52 | Lian BichselDDAL | DAL | 10.65 | 783 | 139 | 22%▲21 |
| 53 | Brandon DuhaimeFWSH | WSH | 10.51 | 908 | 159 | 3.2%▲3 |
| 54 | Ross ColtonFCOL | COL | 10.44 | 914 | 159 | 8.1%▲7.8 |
| 55 | Parker KellyFCOL | COL | 10.20 | 1,042 | 177 | 11%▲5.6 |
| 56 | Alex LaferriereFLAK | LAK | 10.19 | 1,501 | 255 | 68%▲3.9 |
| 57 | Alexey ToropchenkoFSTL | STL | 10.16 | 779 | 132 | 0.1% |
| 58 | Marco KasperFDET | DET | 9.99 | 1,117 | 186 | 28%▲27 |
| 59 | Brayden PachalDCGY | CGY | 9.87 | 541 | 89 | 0.0% |
| 60 | Jesper BoqvistFFLA | FLA | 9.80 | 864 | 141 | 0.1% |
| 61 | Nick BjugstadFNJD | NJD | 9.71 | 667 | 108 | 0.1% |
| 62 | Casey CizikasFNYI | NYI | 9.63 | 953 | 153 | 0.1% |
| 63 | Zachary BolducFMTL | MTL | 9.59 | 1,063 | 170 | 21%▲19 |
| 64 | Brady TkachukFOTT | OTT | 9.55 | 1,018 | 162 | 100%▲2 |
| 65 | Morgan BarronFWPG | WPG | 9.52 | 832 | 132 | 4.8%▲4.7 |
| 66 | Lawson CrouseFUTA | UTA | 9.46 | 1,344 | 212 | 36%▲13 |
| 67 | Dylan CozensFOTT | OTT | 9.23 | 1,397 | 215 | 90%▲3.9 |
| 68 | Simon BenoitDTOR | TOR | 9.22 | 1,263 | 194 | 4.9%▲4.4 |
| 69 | Barclay GoodrowFSJS | SJS | 9.09 | 931 | 141 | 0.1% |
| 70 | Elmer SoderblomFPIT | PIT | 9.06 | 655 | 99 | 4.8%▲4.6 |
| 71 | Eeli TolvanenFSEA | SEA | 8.97 | 1,251 | 187 | 35%▼9.7 |
| 72 | Fabian ZetterlundFOTT | OTT | 8.79 | 1,059 | 155 | 13%▲6.6 |
| 73 | Michael CarconeFUTA | UTA | 8.77 | 1,005 | 147 | 5.0%▲4 |
| 74 | Noah JuulsenDPHI | PHI | 8.69 | 718 | 104 | 0.1% |
| 75 | Jake NeighboursFSTL | STL | 8.68 | 1,051 | 152 | 30%▲26 |
| 76 | Adam LowryFWPG | WPG | 8.59 | 1,048 | 150 | 5.7%▲5.5 |
| 77 | Frank VatranoFANA | ANA | 8.53 | 591 | 84 | 6.4%▲6.2 |
| 78 | Landon SlaggertFCHI | CHI | 8.47 | 559 | 79 | 0.0% |
| 79 | Vincent TrocheckFNYR | NYR | 8.41 | 1,377 | 193 | 88%▼5.4 |
| 80 | Jayden StrubleDMTL | MTL | 8.34 | 827 | 115 | 3.3%▲2.9 |
| 81 | Sam CarrickFBUF | BUF | 8.32 | 764 | 106 | 0.1% |
| 82 | Nikita GrebenkinFPHI | PHI | 8.31 | 621 | 86 | 0.1% |
| 83 | Brenden DillonDNJD | NJD | 8.21 | 1,476 | 202 | 9.7%▲9.1 |
| 84 | Jordan StaalFCAR | CAR | 8.20 | 1,214 | 166 | 20%▲13 |
| 85 | Boone JennerFCBJ | CBJ | 8.19 | 1,077 | 147 | 21%▲16 |
| 86 | Colin BlackwellFDAL | DAL | 8.07 | 832 | 112 | 0.1% |
| 87 | Brayden SchennFNYI | NYI | 8.05 | 1,342 | 180 | 28%▲7.8 |
| 88 | Bobby McMannFSEA | SEA | 7.97 | 1,243 | 165 | 44%▲1 |
| 89 | Connor DewarFPIT | PIT | 7.96 | 1,086 | 144 | 4.2%▲3.1 |
| 90 | Scott LaughtonFLAK | LAK | 7.90 | 919 | 121 | 5.6%▲5.5 |
| 91 | Luke GlendeningFPHI | PHI | 7.89 | 738 | 97 | 0.0% |
| 92 | Elias PetterssonDVAN | VAN | 7.78 | 1,049 | 136 | 14%▲13 |
| 93 | Ondrej PalatFNYI | NYI | 7.78 | 1,026 | 133 | 0.1% |
| 94 | Nic DowdFVGK | VGK | 7.70 | 1,091 | 140 | 3.2%▲3.1 |
| 95 | Josh AndersonFMTL | MTL | 7.67 | 1,010 | 129 | 10%▲9.2 |
| 96 | Tom WilsonFWSH | WSH | 7.66 | 1,401 | 179 | 94%▲6.3 |
| 97 | Blake ColemanFCGY | CGY | 7.63 | 1,196 | 152 | 38%▼24 |
| 98 | Kasperi KapanenFEDM | EDM | 7.52 | 598 | 75 | 9.2%▲9 |
| 99 | Josh MansonDCOL | COL | 7.43 | 1,405 | 174 | 32%▲16 |
| 100 | Mackie SamoskevichFFLA | FLA | 7.32 | 1,114 | 136 | — |
Minimum sample: 498 minutes (it scales with games played). 324 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.