Counting stats
NHL Assists per 60 Leaders
2020-21All situationsThrough 57 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 2020-21: Connor McDavid (EDM), 3.48 A/60.
Assists per 60 leaderboard
| # | Player | Team | A/60 | A | ||
|---|---|---|---|---|---|---|
| 1 | Connor McDavidFEDM | EDM | 3.48 | 1,241 | 72 | 100%▲1.5 |
| 2 | Artemi PanarinFNYR | NYR | 2.98 | 825 | 41 | 97%▼1.8 |
| 3 | Nathan MacKinnonFCOL | COL | 2.76 | 977 | 45 | 100%▲0.9 |
| 4 | Leon DraisaitlFEDM | EDM | 2.56 | 1,243 | 53 | 100% |
| 5 | David KrejciFBOS | BOS | 2.47 | 874 | 36 | — |
| 6 | Patrick KaneFCHI | CHI | 2.46 | 1,245 | 51 | 80%▲0.9 |
| 7 | Jonathan HuberdeauFFLA | FLA | 2.43 | 1,013 | 41 | 17%▲12 |
| 8 | Brad MarchandFBOS | BOS | 2.39 | 1,002 | 40 | 73%▲0.7 |
| 9 | Mark StoneFVGK | VGK | 2.29 | 1,048 | 40 | 93%▲9.6 |
| 10 | Mitch MarnerFTOR | TOR | 2.29 | 1,233 | 47 | 99%▲1.3 |
| 11 | Jakub VoracekFPHI | PHI | 2.28 | 897 | 34 | — |
| 12 | David PerronFSTL | STL | 2.25 | 1,039 | 39 | 0.2% |
| 13 | Roope HintzFDAL | DAL | 2.25 | 748 | 28 | 84%▲7.1 |
| 14 | Jack EichelFBUF | BUF | 2.23 | 430 | 16 | 99%▲1.4 |
| 15 | Nicklas BackstromFWSH | WSH | 2.23 | 1,023 | 38 | — |
| 16 | Mark ScheifeleFWPG | WPG | 2.15 | 1,174 | 42 | 99% |
| 17 | Mikko RantanenFCOL | COL | 2.09 | 1,036 | 36 | 99%▲0.5 |
| 18 | Mats ZuccarelloFMIN | MIN | 2.06 | 701 | 24 | 51%▲29 |
| 19 | Ryan StromeFNYR | NYR | 2.05 | 1,023 | 35 | 4.0%▲3.9 |
| 20 | Evgeni MalkinFPIT | PIT | 2.05 | 585 | 20 | 82%▲11 |
| 21 | Sidney CrosbyFPIT | PIT | 2.03 | 1,122 | 38 | 100%▲2.4 |
| 22 | Blake WheelerFWPG | WPG | 2.03 | 917 | 31 | — |
| 23 | Cale MakarDCOL | COL | 2.02 | 1,070 | 36 | 100%▲1 |
| 24 | Jason SpezzaFTOR | TOR | 2.01 | 596 | 20 | — |
| 25 | Tyson BarrieDEDM | EDM | 2.00 | 1,198 | 40 | — |
| 26 | Anthony DuclairFFLA | FLA | 1.96 | 674 | 22 | 3.3%▲3 |
| 27 | Jason RobertsonFDAL | DAL | 1.95 | 861 | 28 | 100% |
| 28 | Ondrej PalatFTBL | TBL | 1.94 | 960 | 31 | 0.1% |
| 29 | Nikolaj EhlersFWPG | WPG | 1.89 | 795 | 25 | 93%▲7.5 |
| 30 | Max PaciorettyFVGK | VGK | 1.88 | 861 | 27 | — |
| 31 | David PastrnakFBOS | BOS | 1.88 | 893 | 28 | 100%▲1.1 |
| 32 | Andre BurakovskyFCOL | COL | 1.88 | 800 | 25 | 5.6%▲5.4 |
| 33 | Anze KopitarFLAK | LAK | 1.87 | 1,186 | 37 | 0.5% |
| 34 | Jesper BrattFNJD | NJD | 1.87 | 740 | 23 | 97%▲11 |
| 35 | Adam FoxDNYR | NYR | 1.85 | 1,359 | 42 | 99%▲6.8 |
| 36 | Conor GarlandFARI | ARI | 1.84 | 878 | 27 | 10%▲7.4 |
| 37 | Kasperi KapanenFPIT | PIT | 1.83 | 621 | 19 | 9.2%▲9 |
| 38 | Aleksander BarkovFFLA | FLA | 1.83 | 1,047 | 32 | 97%▲7 |
| 39 | John TavaresFTOR | TOR | 1.83 | 1,019 | 31 | 96%▲9.3 |
| 40 | Vincent TrocheckFCAR | CAR | 1.82 | 857 | 26 | 88%▼5.4 |
| 41 | Sebastian AhoFCAR | CAR | 1.82 | 1,090 | 33 | 99%▲1.2 |
| 42 | Jake GuentzelFPIT | PIT | 1.80 | 1,135 | 34 | 100% |
| 43 | Quinn HughesDVAN | VAN | 1.79 | 1,277 | 38 | 100% |
| 44 | Gabriel LandeskogFCOL | COL | 1.78 | 1,078 | 32 | 50%▲32 |
| 45 | Jonathan DrouinFMTL | MTL | 1.78 | 708 | 21 | 0.5% |
| 46 | Jared McCannFPIT | PIT | 1.78 | 607 | 18 | 72%▲1.9 |
| 47 | William NylanderFTOR | TOR | 1.77 | 847 | 25 | 99%▼0.8 |
| 48 | Martin NecasFCAR | CAR | 1.77 | 916 | 27 | 100%▲1.8 |
| 49 | Evgeny KuznetsovFWSH | WSH | 1.77 | 679 | 20 | — |
| 50 | Jordan GreenwayFMIN | MIN | 1.76 | 885 | 26 | 0.3% |
| 51 | Johnny GaudreauFCGY | CGY | 1.75 | 1,031 | 30 | — |
| 52 | Teuvo TeravainenFCAR | CAR | 1.74 | 345 | 10 | 13%▲8.6 |
| 53 | Travis KonecnyFPHI | PHI | 1.74 | 795 | 23 | 92%▲9.6 |
| 54 | Josh BaileyFNYI | NYI | 1.71 | 945 | 27 | — |
| 55 | Shea TheodoreDVGK | VGK | 1.71 | 1,195 | 34 | 91%▲28 |
| 56 | James van RiemsdykFPHI | PHI | 1.68 | 926 | 26 | 0.3% |
| 57 | Filip ForsbergFNSH | NSH | 1.68 | 713 | 20 | 99%▲1.7 |
| 58 | Kris LetangDPIT | PIT | 1.68 | 1,356 | 38 | 47%▼16 |
| 59 | Andrei SvechnikovFCAR | CAR | 1.68 | 965 | 27 | 97%▲8.8 |
| 60 | J.T. MillerFVAN | VAN | 1.67 | 1,111 | 31 | 92%▲7.7 |
| 61 | Pavel BuchnevichFNYR | NYR | 1.66 | 1,012 | 28 | 36%▲7.6 |
| 62 | Claude GirouxFPHI | PHI | 1.66 | 978 | 27 | 30%▲20 |
| 63 | John CarlsonDWSH | WSH | 1.65 | 1,237 | 34 | 99%▲2.4 |
| 64 | Justin SchultzDWSH | WSH | 1.65 | 875 | 24 | — |
| 65 | Mathew BarzalFNYI | NYI | 1.63 | 1,030 | 28 | 84%▲11 |
| 66 | Jonathan MarchessaultFVGK | VGK | 1.63 | 958 | 26 | 24%▼21 |
| 67 | Jack RoslovicFCBJ | CBJ | 1.63 | 811 | 22 | 34%▲26 |
| 68 | Trevor ZegrasFANA | ANA | 1.62 | 370 | 10 | 86%▲18 |
| 69 | Tomas TatarFMTL | MTL | 1.60 | 749 | 20 | — |
| 70 | Victor HedmanDTBL | TBL | 1.60 | 1,352 | 36 | 93%▲11 |
| 71 | Matthew TkachukFCGY | CGY | 1.59 | 1,017 | 27 | 100%▲2.6 |
| 72 | Jordan KyrouFSTL | STL | 1.59 | 793 | 21 | 80%▲3.7 |
| 73 | Sean CouturierFPHI | PHI | 1.59 | 870 | 23 | 9.2%▲7.2 |
| 74 | Oliver BjorkstrandFCBJ | CBJ | 1.58 | 986 | 26 | 20% |
| 75 | Torey KrugDSTL | STL | 1.57 | 1,150 | 30 | 0.0% |
| 76 | Tyler BozakFSTL | STL | 1.56 | 462 | 12 | — |
| 77 | Jamie BennFDAL | DAL | 1.56 | 925 | 24 | 22%▲18 |
| 78 | Ryan O'ReillyFSTL | STL | 1.55 | 1,162 | 30 | 84%▲5 |
| 79 | Tom WilsonFWSH | WSH | 1.54 | 777 | 20 | 94%▲6.3 |
| 80 | Marcus FolignoFMIN | MIN | 1.54 | 584 | 15 | 4.2%▲3.4 |
| 81 | Dougie HamiltonDCAR | CAR | 1.54 | 1,250 | 32 | 84%▲12 |
| 82 | Nick SuzukiFMTL | MTL | 1.53 | 1,018 | 26 | 100%▲0.5 |
| 83 | Mike ReillyDBOS | BOS | 1.53 | 1,060 | 27 | 0.1% |
| 84 | Patrice BergeronFBOS | BOS | 1.52 | 984 | 25 | — |
| 85 | Filip ChytilFNYR | NYR | 1.51 | 555 | 14 | 6.4%▲6.3 |
| 86 | Elias LindholmFCGY | CGY | 1.51 | 1,114 | 28 | 43%▲4.7 |
| 87 | MacKenzie WeegarDFLA | FLA | 1.51 | 1,194 | 30 | 93%▼7.2 |
| 88 | Tomas HertlFSJS | SJS | 1.51 | 957 | 24 | 84%▲3.2 |
| 89 | Keith YandleDFLA | FLA | 1.49 | 966 | 24 | — |
| 90 | Joe ThorntonFTOR | TOR | 1.49 | 604 | 15 | — |
| 91 | Nick SchmaltzFARI | ARI | 1.49 | 887 | 22 | 94%▲4.4 |
| 92 | Sam BennettFFLA | FLA | 1.47 | 692 | 17 | 84%▲4.3 |
| 93 | Steven StamkosFTBL | TBL | 1.47 | 694 | 17 | 94%▼4.2 |
| 94 | Neal PionkDWPG | WPG | 1.47 | 1,187 | 29 | 32%▲31 |
| 95 | Joe PavelskiFDAL | DAL | 1.46 | 1,065 | 26 | — |
| 96 | Patric HornqvistFFLA | FLA | 1.46 | 738 | 18 | — |
| 97 | Taylor HallFBOS | BOS | 1.46 | 947 | 23 | 28%▲20 |
| 98 | Mike HoffmanFSTL | STL | 1.46 | 783 | 19 | — |
| 99 | Samuel GirardDCOL | COL | 1.45 | 1,115 | 27 | 9.0%▲8.6 |
| 100 | Brayden PointFTBL | TBL | 1.45 | 1,032 | 25 | 95%▲7.5 |
Minimum sample: 342 minutes (it scales with games played). 312 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.