Counting stats
NHL Points per 60 Leaders
2025-26All situationsThrough 83 team games
This board ranks skaters by points 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.
Points are goals plus assists, the classic scoring race. Top-line centres and power-play quarterbacks lead it most years. 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: Nikita Kucherov (TBL), 5.05 PTS/60.
Points per 60 leaderboard
| # | Player | Team | PTS/60 | PTS | ||
|---|---|---|---|---|---|---|
| 1 | Nikita KucherovFTBL | TBL | 5.05 | 1,545 | 130 | 100% |
| 2 | Connor McDavidFEDM | EDM | 4.39 | 1,885 | 138 | 100%▲1.5 |
| 3 | Nathan MacKinnonFCOL | COL | 4.28 | 1,781 | 127 | 100%▲0.9 |
| 4 | Leon DraisaitlFEDM | EDM | 4.15 | 1,402 | 97 | 100% |
| 5 | Macklin CelebriniFSJS | SJS | 3.95 | 1,748 | 115 | 100%▲1 |
| 6 | Mark StoneFVGK | VGK | 3.80 | 1,153 | 73 | 93%▲9.6 |
| 7 | David PastrnakFBOS | BOS | 3.77 | 1,590 | 100 | 100%▲1.1 |
| 8 | William NylanderFTOR | TOR | 3.76 | 1,262 | 79 | 99%▼0.8 |
| 9 | Evgeni MalkinFPIT | PIT | 3.71 | 985 | 61 | 82%▲11 |
| 10 | Matthew TkachukFFLA | FLA | 3.60 | 567 | 34 | 100%▲2.6 |
| 11 | Cole CaufieldFMTL | MTL | 3.58 | 1,473 | 88 | 100%▲1.2 |
| 12 | Martin NecasFCOL | COL | 3.58 | 1,677 | 100 | 100%▲1.8 |
| 13 | Mikko RantanenFDAL | DAL | 3.58 | 1,291 | 77 | 99%▲0.5 |
| 14 | Jack HughesFNJD | NJD | 3.55 | 1,300 | 77 | 100% |
| 15 | Nick SuzukiFMTL | MTL | 3.55 | 1,707 | 101 | 100%▲0.5 |
| 16 | Brad MarchandFFLA | FLA | 3.51 | 922 | 54 | 73%▲0.7 |
| 17 | Mark ScheifeleFWPG | WPG | 3.50 | 1,763 | 103 | 99% |
| 18 | Brady TkachukFOTT | OTT | 3.48 | 1,018 | 59 | 100%▲2 |
| 19 | Jason RobertsonFDAL | DAL | 3.47 | 1,661 | 96 | 100% |
| 20 | Jack EichelFVGK | VGK | 3.44 | 1,569 | 90 | 99%▲1.4 |
| 21 | Sidney CrosbyFPIT | PIT | 3.40 | 1,308 | 74 | 100%▲2.4 |
| 22 | Clayton KellerFUTA | UTA | 3.37 | 1,565 | 88 | 100%▲2.1 |
| 23 | Alex DeBrincatFDET | DET | 3.36 | 1,517 | 85 | 100%▲2.5 |
| 24 | Matt BoldyFMIN | MIN | 3.26 | 1,563 | 85 | 100% |
| 25 | Jake GuentzelFTBL | TBL | 3.22 | 1,640 | 88 | 100% |
| 26 | Viktor ArvidssonFBOS | BOS | 3.22 | 1,007 | 54 | 33%▲23 |
| 27 | Dylan GuentherFUTA | UTA | 3.19 | 1,374 | 73 | 99%▲1.7 |
| 28 | Brandon HagelFTBL | TBL | 3.16 | 1,403 | 74 | 99%▲1.4 |
| 29 | Cutter GauthierFANA | ANA | 3.16 | 1,311 | 69 | 98%▲1.3 |
| 30 | Robert ThomasFSTL | STL | 3.16 | 1,217 | 64 | 93%▲20 |
| 31 | Nikolaj EhlersFCAR | CAR | 3.13 | 1,361 | 71 | 93%▲7.5 |
| 32 | Kyle ConnorFWPG | WPG | 3.13 | 1,764 | 92 | 99%▲1.1 |
| 33 | Andrei SvechnikovFCAR | CAR | 3.13 | 1,342 | 70 | 97%▲8.8 |
| 34 | Wyatt JohnstonFDAL | DAL | 3.13 | 1,650 | 86 | 100%▲0.9 |
| 35 | Connor BedardFCHI | CHI | 3.13 | 1,440 | 75 | 98%▲3.6 |
| 36 | Anthony ManthaFPIT | PIT | 3.12 | 1,230 | 64 | 52%▲15 |
| 37 | Tage ThompsonFBUF | BUF | 3.12 | 1,559 | 81 | 100%▲1.3 |
| 38 | Drake BathersonFOTT | OTT | 3.11 | 1,371 | 71 | 97%▲7.2 |
| 39 | Artemi PanarinFLAK | LAK | 3.10 | 1,626 | 84 | 97%▼1.8 |
| 40 | Sebastian AhoFCAR | CAR | 3.10 | 1,549 | 80 | 99%▲1.2 |
| 41 | Kirill KaprizovFMIN | MIN | 3.09 | 1,727 | 89 | 98%▼0.9 |
| 42 | Tim StützleFOTT | OTT | 3.07 | 1,621 | 83 | 99%▲0.8 |
| 43 | Troy TerryFANA | ANA | 3.06 | 1,119 | 57 | 47%▲34 |
| 44 | Lucas RaymondFDET | DET | 3.03 | 1,504 | 76 | 96%▲10 |
| 45 | Leo CarlssonFANA | ANA | 3.00 | 1,341 | 67 | 94%▲11 |
| 46 | Mitch MarnerFVGK | VGK | 2.97 | 1,617 | 80 | 99%▲1.3 |
| 47 | Pavel ZachaFBOS | BOS | 2.97 | 1,314 | 65 | 78%▲13 |
| 48 | Seth JarvisFCAR | CAR | 2.95 | 1,340 | 66 | 95%▲1.4 |
| 49 | Mats ZuccarelloFMIN | MIN | 2.95 | 1,100 | 54 | 51%▲29 |
| 50 | Josh NorrisFBUF | BUF | 2.93 | 697 | 34 | 39%▲32 |
| 51 | Ivan DemidovFMTL | MTL | 2.93 | 1,271 | 62 | 91%▲22 |
| 52 | Filip ForsbergFNSH | NSH | 2.91 | 1,549 | 75 | 99%▲1.7 |
| 53 | Morgan GeekieFBOS | BOS | 2.89 | 1,410 | 68 | 96%▲7.9 |
| 54 | Patrick KaneFDET | DET | 2.88 | 1,186 | 57 | 80%▲0.9 |
| 55 | Juraj SlafkovskýFMTL | MTL | 2.88 | 1,520 | 73 | 100%▲1.5 |
| 56 | Roope HintzFDAL | DAL | 2.87 | 919 | 44 | 84%▲7.1 |
| 57 | Matt DucheneFDAL | DAL | 2.87 | 941 | 45 | 62%▼17 |
| 58 | John TavaresFTOR | TOR | 2.86 | 1,491 | 71 | 96%▲9.3 |
| 59 | Dylan HollowayFSTL | STL | 2.84 | 1,077 | 51 | 95%▲9.4 |
| 60 | Shayne GostisbehereDCAR | CAR | 2.84 | 1,058 | 50 | 96%▲16 |
| 61 | Will SmithFSJS | SJS | 2.82 | 1,255 | 59 | 95%▲23 |
| 62 | Evan BouchardDEDM | EDM | 2.82 | 2,024 | 95 | 100% |
| 63 | Jared McCannFSEA | SEA | 2.81 | 855 | 40 | 72%▲1.9 |
| 64 | Adrian KempeFLAK | LAK | 2.80 | 1,564 | 73 | 97%▼0.6 |
| 65 | Kirill MarchenkoFCBJ | CBJ | 2.79 | 1,440 | 67 | 98%▲7.4 |
| 66 | Jason ZuckerFBUF | BUF | 2.79 | 969 | 45 | 23%▲17 |
| 67 | Travis KonecnyFPHI | PHI | 2.78 | 1,470 | 68 | 92%▲9.6 |
| 68 | Jesper BrattFNJD | NJD | 2.77 | 1,539 | 71 | 97%▲11 |
| 69 | Mika ZibanejadFNYR | NYR | 2.76 | 1,693 | 78 | 98%▲1.4 |
| 70 | Logan CooleyFUTA | UTA | 2.76 | 936 | 43 | 94%▲9.3 |
| 71 | Ivan BarbashevFVGK | VGK | 2.75 | 1,332 | 61 | 68%▲27 |
| 72 | Nick SchmaltzFUTA | UTA | 2.75 | 1,617 | 74 | 94%▲4.4 |
| 73 | Bryan RustFPIT | PIT | 2.72 | 1,436 | 65 | 85%▲2.5 |
| 74 | Jamie BennFDAL | DAL | 2.71 | 797 | 36 | 22%▲18 |
| 75 | Steven StamkosFNSH | NSH | 2.71 | 1,462 | 66 | 94%▼4.2 |
| 76 | Gabriel VilardiFWPG | WPG | 2.69 | 1,537 | 69 | 80%▲7.7 |
| 77 | Zach HymanFEDM | EDM | 2.69 | 1,159 | 52 | 98%▼1.8 |
| 78 | Dylan LarkinFDET | DET | 2.69 | 1,494 | 67 | 96% |
| 79 | Ryan O'ReillyFNSH | NSH | 2.69 | 1,652 | 74 | 84%▲5 |
| 80 | Sam ReinhartFFLA | FLA | 2.69 | 1,362 | 61 | 99% |
| 81 | Alex OvechkinFWSH | WSH | 2.68 | 1,431 | 64 | 96%▲1.2 |
| 82 | Matthew KniesFTOR | TOR | 2.67 | 1,485 | 66 | 95%▲14 |
| 83 | Pavel DorofeyevFVGK | VGK | 2.66 | 1,444 | 64 | 92%▲1.8 |
| 84 | Tom WilsonFWSH | WSH | 2.65 | 1,401 | 62 | 94%▲6.3 |
| 85 | Trevor ZegrasFPHI | PHI | 2.65 | 1,516 | 67 | 86%▲18 |
| 86 | Alex TuchFBUF | BUF | 2.64 | 1,501 | 66 | 94%▼5.5 |
| 87 | Jimmy SnuggerudFSTL | STL | 2.62 | 1,169 | 51 | 80%▲46 |
| 88 | Brayden PointFTBL | TBL | 2.61 | 1,150 | 50 | 95%▲7.5 |
| 89 | Egor ChinakhovFPIT | PIT | 2.60 | 971 | 42 | 48%▲39 |
| 90 | Kaapo KakkoFSEA | SEA | 2.59 | 927 | 40 | 18%▲16 |
| 91 | Mathew BarzalFNYI | NYI | 2.58 | 1,673 | 72 | 84%▲11 |
| 92 | Auston MatthewsFTOR | TOR | 2.55 | 1,248 | 53 | 99% |
| 93 | Matvei MichkovFPHI | PHI | 2.55 | 1,202 | 51 | 86%▲23 |
| 94 | Cale MakarDCOL | COL | 2.54 | 1,864 | 79 | 100%▲1 |
| 95 | Marcus JohanssonFMIN | MIN | 2.54 | 1,157 | 49 | 0.7% |
| 96 | Anthony CirelliFTBL | TBL | 2.54 | 1,229 | 52 | 51%▲19 |
| 97 | Darren RaddyshDTBL | TBL | 2.54 | 1,657 | 70 | 99%▲3.2 |
| 98 | Dylan CozensFOTT | OTT | 2.53 | 1,397 | 59 | 90%▲3.9 |
| 99 | Rickard RakellFPIT | PIT | 2.53 | 1,137 | 48 | 83%▲11 |
| 100 | Justin BrazeauFPIT | PIT | 2.52 | 810 | 34 | 11%▲9.4 |
Minimum sample: 498 minutes (it scales with games played). 324 below the minimum are hidden.
How to read it
Points 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 points: who should lead the coming games.