Counting stats
NHL Assists per 60 Leaders
2021-22All situationsThrough 82 team games
This board ranks skaters by assists 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.
Assists credit the last one or two players to touch the puck before a goal. Playmaking centres and power-play quarterbacks on the blue line top the list, and secondary assists make the totals noisier than goals suggest. 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: Jonathan Huberdeau (FLA), 3.28 A/60.
Assists per 60 leaderboard
| # | Player | Team | A/60 | A | ||
|---|---|---|---|---|---|---|
| 1 | Jonathan HuberdeauFFLA | FLA | 3.28 | 1,554 | 85 | 17%▲12 |
| 2 | Artemi PanarinFNYR | NYR | 3.08 | 1,441 | 74 | 97%▼1.8 |
| 3 | Johnny GaudreauFCGY | CGY | 2.95 | 1,523 | 75 | — |
| 4 | Nikita KucherovFTBL | TBL | 2.81 | 939 | 44 | 100% |
| 5 | Connor McDavidFEDM | EDM | 2.69 | 1,765 | 79 | 100%▲1.5 |
| 6 | Nazem KadriFCOL | COL | 2.59 | 1,366 | 59 | 71%▼9 |
| 7 | Steven StamkosFTBL | TBL | 2.56 | 1,497 | 64 | 94%▼4.2 |
| 8 | Mats ZuccarelloFMIN | MIN | 2.54 | 1,301 | 55 | 51%▲29 |
| 9 | Matthew TkachukFCGY | CGY | 2.53 | 1,468 | 62 | 100%▲2.6 |
| 10 | Robert ThomasFSTL | STL | 2.53 | 1,352 | 57 | 93%▲20 |
| 11 | Mitch MarnerFTOR | TOR | 2.47 | 1,504 | 62 | 99%▲1.3 |
| 12 | Nathan MacKinnonFCOL | COL | 2.45 | 1,369 | 56 | 100%▲0.9 |
| 13 | Jakub VoracekFCBJ | CBJ | 2.44 | 1,379 | 56 | — |
| 14 | J.T. MillerFVAN | VAN | 2.38 | 1,686 | 67 | 92%▲7.7 |
| 15 | Kirill KaprizovFMIN | MIN | 2.36 | 1,548 | 61 | 98%▼0.9 |
| 16 | Jordan KyrouFSTL | STL | 2.35 | 1,227 | 48 | 80%▲3.7 |
| 17 | Patrick KaneFCHI | CHI | 2.33 | 1,702 | 66 | 80%▲0.9 |
| 18 | Sidney CrosbyFPIT | PIT | 2.31 | 1,378 | 53 | 100%▲2.4 |
| 19 | Mason MarchmentFFLA | FLA | 2.28 | 762 | 29 | 47%▲34 |
| 20 | Vladimir TarasenkoFSTL | STL | 2.27 | 1,268 | 48 | 10%▲1 |
| 21 | Aleksander BarkovFFLA | FLA | 2.16 | 1,360 | 49 | 97%▲7 |
| 22 | Kevin FialaFMIN | MIN | 2.16 | 1,447 | 52 | 67%▼8.3 |
| 23 | Roman JosiDNSH | NSH | 2.14 | 2,044 | 73 | 98%▼0.5 |
| 24 | Joe PavelskiFDAL | DAL | 2.14 | 1,515 | 54 | — |
| 25 | Brad MarchandFBOS | BOS | 2.14 | 1,347 | 48 | 73%▲0.7 |
| 26 | Mikko RantanenFCOL | COL | 2.13 | 1,574 | 56 | 99%▲0.5 |
| 27 | Jesper BrattFNJD | NJD | 2.13 | 1,325 | 47 | 97%▲11 |
| 28 | Sam ReinhartFFLA | FLA | 2.12 | 1,385 | 49 | 99% |
| 29 | Pavel BuchnevichFSTL | STL | 2.07 | 1,336 | 46 | 36%▲7.6 |
| 30 | John TavaresFTOR | TOR | 2.06 | 1,428 | 49 | 96%▲9.3 |
| 31 | Blake WheelerFWPG | WPG | 2.03 | 1,270 | 43 | — |
| 32 | Adam FoxDNYR | NYR | 2.03 | 1,865 | 63 | 99%▲6.8 |
| 33 | Evgeny KuznetsovFWSH | WSH | 2.02 | 1,602 | 54 | — |
| 34 | Filip ForsbergFNSH | NSH | 2.02 | 1,249 | 42 | 99%▲1.7 |
| 35 | Mathew BarzalFNYI | NYI | 2.01 | 1,315 | 44 | 84%▲11 |
| 36 | Matt BoldyFMIN | MIN | 1.99 | 723 | 24 | 100% |
| 37 | Mika ZibanejadFNYR | NYR | 1.96 | 1,591 | 52 | 98%▲1.4 |
| 38 | Michael BuntingFTOR | TOR | 1.95 | 1,228 | 40 | 3.7%▲1 |
| 39 | Mikael GranlundFNSH | NSH | 1.95 | 1,633 | 53 | 52%▼12 |
| 40 | Tony DeAngeloDCAR | CAR | 1.94 | 1,268 | 41 | 24%▲18 |
| 41 | Phil KesselFARI | ARI | 1.93 | 1,368 | 44 | — |
| 42 | Ryan Nugent-HopkinsFEDM | EDM | 1.92 | 1,217 | 39 | 77%▲15 |
| 43 | Ryan GetzlafFANA | ANA | 1.92 | 1,062 | 34 | — |
| 44 | Victor HedmanDTBL | TBL | 1.90 | 2,056 | 65 | 93%▲11 |
| 45 | Teuvo TeravainenFCAR | CAR | 1.89 | 1,363 | 43 | 13%▲8.6 |
| 46 | Nick SchmaltzFARI | ARI | 1.88 | 1,150 | 36 | 94%▲4.4 |
| 47 | Jack HughesFNJD | NJD | 1.88 | 959 | 30 | 100% |
| 48 | Quinn HughesDVAN | VAN | 1.88 | 1,919 | 60 | 100% |
| 49 | William NylanderFTOR | TOR | 1.86 | 1,480 | 46 | 99%▼0.8 |
| 50 | Drake BathersonFOTT | OTT | 1.86 | 871 | 27 | 97%▲7.2 |
| 51 | Mark StoneFVGK | VGK | 1.86 | 679 | 21 | 93%▲9.6 |
| 52 | Taylor HallFBOS | BOS | 1.85 | 1,329 | 41 | 28%▲20 |
| 53 | Brayden SchennFSTL | STL | 1.85 | 1,103 | 34 | 28%▲7.8 |
| 54 | Claude GirouxFFLA | FLA | 1.85 | 1,430 | 44 | 30%▲20 |
| 55 | Leon DraisaitlFEDM | EDM | 1.85 | 1,788 | 55 | 100% |
| 56 | Auston MatthewsFTOR | TOR | 1.83 | 1,504 | 46 | 99% |
| 57 | Alexander KerfootFTOR | TOR | 1.83 | 1,248 | 38 | 3.2%▲3.1 |
| 58 | Nicklas BackstromFWSH | WSH | 1.82 | 822 | 25 | — |
| 59 | Bryan RustFPIT | PIT | 1.81 | 1,126 | 34 | 85%▲2.5 |
| 60 | Patrice BergeronFBOS | BOS | 1.81 | 1,326 | 40 | — |
| 61 | Andre BurakovskyFCOL | COL | 1.80 | 1,301 | 39 | 5.6%▲5.4 |
| 62 | Max DomiFCAR | CAR | 1.79 | 939 | 28 | 5.8%▲4.6 |
| 63 | Morgan RiellyDTOR | TOR | 1.79 | 1,947 | 58 | 76%▼5.1 |
| 64 | Sebastian AhoFCAR | CAR | 1.76 | 1,497 | 44 | 99%▲1.2 |
| 65 | Cale MakarDCOL | COL | 1.76 | 1,976 | 58 | 100%▲1 |
| 66 | Evgeni MalkinFPIT | PIT | 1.76 | 752 | 22 | 82%▲11 |
| 67 | John CarlsonDWSH | WSH | 1.74 | 1,857 | 54 | 99%▲2.4 |
| 68 | Matt DucheneFNSH | NSH | 1.74 | 1,483 | 43 | 62%▼17 |
| 69 | Andrei SvechnikovFCAR | CAR | 1.74 | 1,346 | 39 | 97%▲8.8 |
| 70 | Mark ScheifeleFWPG | WPG | 1.74 | 1,416 | 41 | 99% |
| 71 | Kris LetangDPIT | PIT | 1.73 | 2,011 | 58 | 47%▼16 |
| 72 | Jake GuentzelFPIT | PIT | 1.73 | 1,527 | 44 | 100% |
| 73 | Nico HischierFNJD | NJD | 1.73 | 1,354 | 39 | 97%▲2.3 |
| 74 | Anze KopitarFLAK | LAK | 1.71 | 1,682 | 48 | 0.5% |
| 75 | Patrik LaineFCBJ | CBJ | 1.71 | 1,054 | 30 | 9.7%▲9.2 |
| 76 | Jason RobertsonFDAL | DAL | 1.70 | 1,340 | 38 | 100% |
| 77 | Trevor ZegrasFANA | ANA | 1.70 | 1,343 | 38 | 86%▲18 |
| 78 | Ryan JohansenFNSH | NSH | 1.70 | 1,309 | 37 | — |
| 79 | Alex TuchFBUF | BUF | 1.69 | 920 | 26 | 94%▼5.5 |
| 80 | Chandler StephensonFVGK | VGK | 1.69 | 1,526 | 43 | 17%▲13 |
| 81 | Gabriel LandeskogFCOL | COL | 1.68 | 1,036 | 29 | 50%▲32 |
| 82 | Timo MeierFSJS | SJS | 1.67 | 1,475 | 41 | 82%▼8 |
| 83 | Aaron EkbladDFLA | FLA | 1.66 | 1,520 | 42 | 50%▲34 |
| 84 | David PastrnakFBOS | BOS | 1.66 | 1,340 | 37 | 100%▲1.1 |
| 85 | Dylan LarkinFDET | DET | 1.63 | 1,396 | 38 | 96% |
| 86 | Jonathan MarchessaultFVGK | VGK | 1.62 | 1,335 | 36 | 24%▼21 |
| 87 | Kyle ConnorFWPG | WPG | 1.60 | 1,720 | 46 | 99%▲1.1 |
| 88 | Max PaciorettyFVGK | VGK | 1.59 | 678 | 18 | — |
| 89 | David PerronFSTL | STL | 1.58 | 1,138 | 30 | 0.2% |
| 90 | Devon ToewsDCOL | COL | 1.58 | 1,674 | 44 | 62%▼1 |
| 91 | Victor OlofssonFBUF | BUF | 1.57 | 1,108 | 29 | 14%▲14 |
| 92 | Conor GarlandFVAN | VAN | 1.57 | 1,263 | 33 | 10%▲7.4 |
| 93 | Clayton KellerFARI | ARI | 1.56 | 1,349 | 35 | 100%▲2.1 |
| 94 | Viktor ArvidssonFLAK | LAK | 1.55 | 1,121 | 29 | 33%▲23 |
| 95 | Travis KonecnyFPHI | PHI | 1.55 | 1,391 | 36 | 92%▲9.6 |
| 96 | Torey KrugDSTL | STL | 1.55 | 1,316 | 34 | 0.0% |
| 97 | Ivan BarbashevFSTL | STL | 1.53 | 1,332 | 34 | 68%▲27 |
| 98 | Anton LundellFFLA | FLA | 1.53 | 1,023 | 26 | 46%▲31 |
| 99 | Alex OvechkinFWSH | WSH | 1.52 | 1,584 | 40 | 96%▲1.2 |
| 100 | Anthony ManthaFWSH | WSH | 1.50 | 561 | 14 | 52%▲15 |
Minimum sample: 492 minutes (it scales with games played). 379 below the minimum are hidden.
How to read it
Assists 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 assists: who should lead the coming games.