More skater stats
NHL Takeaways per 60 Leaders
2019-20All situationsThrough 71 team games
This board ranks skaters by takeaways per 60 minutes of ice time in all situations, so players with different roles are compared fairly. Players under the minimum-minutes cutoff are hidden.
A takeaway is a puck won from an opponent by a skater's own effort, as judged by the off-ice scorer. Smart two-way forwards with active sticks lead the league. Rates surface low-minute players who already produce takeaways; they gain the most when their ice time grows.
Leader in 2019-20: Evgeni Malkin (PIT), 3.91 TK/60.
- Legacy recording: before 2024-25 turnovers and hits were recorded arena by arena with large scorer bias. Compare players within this season only.
Takeaways per 60 leaderboard
| # | Player | Team | TK/60 | TK | ||
|---|---|---|---|---|---|---|
| 1 | Evgeni MalkinFPIT | PIT | 3.91 | 1,074 | 70 | 82%▲11 |
| 2 | Mark StoneFVGK | VGK | 3.71 | 1,262 | 78 | 93%▲9.6 |
| 3 | Pierre-Edouard BellemareFCOL | COL | 3.43 | 926 | 53 | — |
| 4 | Casey CizikasFNYI | NYI | 3.32 | 686 | 38 | 0.1% |
| 5 | Michael GrabnerFARI | ARI | 3.27 | 569 | 31 | — |
| 6 | Sebastian AhoFCAR | CAR | 3.23 | 1,321 | 71 | 99%▲1.2 |
| 7 | Auston MatthewsFTOR | TOR | 3.19 | 1,468 | 78 | 99% |
| 8 | Filip ForsbergFNSH | NSH | 3.18 | 1,093 | 58 | 99%▲1.7 |
| 9 | Mark JankowskiFCGY | CGY | 3.09 | 621 | 32 | 0.2% |
| 10 | Mathew BarzalFNYI | NYI | 3.08 | 1,363 | 70 | 84%▲11 |
| 11 | Mikael BacklundFCGY | CGY | 3.06 | 1,256 | 64 | 14%▲9.3 |
| 12 | Jaccob SlavinDCAR | CAR | 3.05 | 1,592 | 81 | 16%▲4.6 |
| 13 | Joe ThorntonFSJS | SJS | 3.04 | 1,085 | 55 | — |
| 14 | Mitch MarnerFTOR | TOR | 3.02 | 1,272 | 64 | 99%▲1.3 |
| 15 | Denis MalginFFLA/TOR | FLA/TOR | 2.96 | 528 | 26 | — |
| 16 | Vincent TrocheckFFLA/CAR | FLA/CAR | 2.95 | 1,037 | 51 | 88%▼5.4 |
| 17 | Yanni GourdeFTBL | TBL | 2.93 | 985 | 48 | 4.9%▲4 |
| 18 | Jason DickinsonFDAL | DAL | 2.90 | 973 | 47 | 3.2%▲3 |
| 19 | Robert ThomasFSTL | STL | 2.87 | 961 | 46 | 93%▲20 |
| 20 | Nick SchmaltzFARI | ARI | 2.87 | 1,087 | 52 | 94%▲4.4 |
| 21 | Jordan MartinookFCAR | CAR | 2.84 | 507 | 24 | 4.3%▲2.7 |
| 22 | Ryan O'ReillyFSTL | STL | 2.83 | 1,461 | 69 | 84%▲5 |
| 23 | Joel ArmiaFMTL | MTL | 2.82 | 999 | 47 | 3.3%▲3.1 |
| 24 | Jamie BennFDAL | DAL | 2.75 | 1,134 | 52 | 22%▲18 |
| 25 | Reilly SmithFVGK | VGK | 2.74 | 1,272 | 58 | — |
| 26 | William KarlssonFVGK | VGK | 2.73 | 1,189 | 54 | 24%▲20 |
| 27 | Troy TerryFANA | ANA | 2.73 | 682 | 31 | 47%▲34 |
| 28 | Michael FrolikFCGY/BUF | CGY/BUF | 2.71 | 709 | 32 | — |
| 29 | Ondrej KaseFANA/BOS | ANA/BOS | 2.70 | 910 | 41 | — |
| 30 | Dominik SimonFPIT | PIT | 2.67 | 922 | 41 | — |
| 31 | Alex TuchFVGK | VGK | 2.64 | 614 | 27 | 94%▼5.5 |
| 32 | Oskar SundqvistFSTL | STL | 2.64 | 820 | 36 | 0.0% |
| 33 | Blake ColemanFNJD/TBL | NJD/TBL | 2.61 | 1,103 | 48 | 38%▼24 |
| 34 | Jack HughesFNJD | NJD | 2.60 | 968 | 42 | 100% |
| 35 | Jordan GreenwayFMIN | MIN | 2.59 | 949 | 41 | 0.3% |
| 36 | Adam FoxDNYR | NYR | 2.58 | 1,323 | 57 | 99%▲6.8 |
| 37 | Mikko RantanenFCOL | COL | 2.56 | 796 | 34 | 99%▲0.5 |
| 38 | Riley SheahanFEDM | EDM | 2.56 | 844 | 36 | — |
| 39 | Nick BoninoFNSH | NSH | 2.55 | 1,107 | 47 | — |
| 40 | Adam LowryFWPG | WPG | 2.54 | 733 | 31 | 5.7%▲5.5 |
| 41 | Anthony CirelliFTBL | TBL | 2.53 | 1,255 | 53 | 51%▲19 |
| 42 | Jonathan ToewsFCHI | CHI | 2.51 | 1,384 | 58 | 0.3% |
| 43 | Warren FoegeleFCAR | CAR | 2.51 | 932 | 39 | 4.0%▲3.9 |
| 44 | Kirby DachFCHI | CHI | 2.50 | 913 | 38 | 12%▲12 |
| 45 | Valeri NichushkinFCOL | COL | 2.49 | 915 | 38 | 60% |
| 46 | Brandon SaadFCHI | CHI | 2.47 | 971 | 40 | — |
| 47 | Ryan GetzlafFANA | ANA | 2.46 | 1,292 | 53 | — |
| 48 | Jake VirtanenFVAN | VAN | 2.46 | 903 | 37 | — |
| 49 | Charlie CoyleFBOS | BOS | 2.45 | 1,175 | 48 | 49%▼11 |
| 50 | Andrew MangiapaneFCGY | CGY | 2.45 | 932 | 38 | 3.2%▲3.1 |
| 51 | Ryan Nugent-HopkinsFEDM | EDM | 2.44 | 1,330 | 54 | 77%▲15 |
| 52 | Kailer YamamotoFEDM | EDM | 2.43 | 469 | 19 | 0.2% |
| 53 | Ryan HartmanFMIN | MIN | 2.41 | 846 | 34 | 40%▼17 |
| 54 | Drake CaggiulaFCHI | CHI | 2.41 | 473 | 19 | — |
| 55 | Nico HischierFNJD | NJD | 2.41 | 1,048 | 42 | 97%▲2.3 |
| 56 | Mathieu JosephFTBL | TBL | 2.39 | 426 | 17 | 0.1% |
| 57 | Adam PelechDNYI | NYI | 2.39 | 803 | 32 | 3.2%▲3 |
| 58 | Chandler StephensonFVGK/WSH | VGK/WSH | 2.38 | 931 | 37 | 17%▲13 |
| 59 | Ilya MikheyevFTOR | TOR | 2.37 | 607 | 24 | 8.3%▲6.8 |
| 60 | Barclay GoodrowFSJS/TBL | SJS/TBL | 2.37 | 1,115 | 44 | 0.1% |
| 61 | Artemi PanarinFNYR | NYR | 2.36 | 1,422 | 56 | 97%▼1.8 |
| 62 | Gaetan HaasFEDM | EDM | 2.35 | 562 | 22 | — |
| 63 | Brendan GallagherFMTL | MTL | 2.35 | 998 | 39 | 3.3%▲2.8 |
| 64 | Carter VerhaegheFTBL | TBL | 2.34 | 487 | 19 | 72% |
| 65 | Trevor MooreFTOR/LAK | TOR/LAK | 2.33 | 542 | 21 | 9.1% |
| 66 | Jaden SchwartzFSTL | STL | 2.32 | 1,291 | 50 | 11%▲11 |
| 67 | David KampfFCHI | CHI | 2.32 | 957 | 37 | 0.0% |
| 68 | Aleksander BarkovFFLA | FLA | 2.32 | 1,321 | 51 | 97%▲7 |
| 69 | Mike MathesonDFLA | FLA | 2.31 | 1,064 | 41 | 85%▼7.8 |
| 70 | Patrice BergeronFBOS | BOS | 2.31 | 1,142 | 44 | — |
| 71 | Connor McDavidFEDM | EDM | 2.27 | 1,399 | 53 | 100%▲1.5 |
| 72 | Erik KarlssonDSJS | SJS | 2.27 | 1,373 | 52 | 95% |
| 73 | J.T. MillerFVAN | VAN | 2.25 | 1,387 | 52 | 92%▲7.7 |
| 74 | Lars EllerFWSH | WSH | 2.25 | 1,174 | 44 | 0.2% |
| 75 | Leon DraisaitlFEDM | EDM | 2.24 | 1,605 | 60 | 100% |
| 76 | Kaapo KakkoFNYR | NYR | 2.23 | 942 | 35 | 18%▲16 |
| 77 | Filip ChytilFNYR | NYR | 2.22 | 890 | 33 | 6.4%▲6.3 |
| 78 | David PastrnakFBOS | BOS | 2.22 | 1,327 | 49 | 100%▲1.1 |
| 79 | Tyler PitlickFPHI | PHI | 2.21 | 759 | 28 | 0.1% |
| 80 | Mark ScheifeleFWPG | WPG | 2.21 | 1,548 | 57 | 99% |
| 81 | Ondrej PalatFTBL | TBL | 2.20 | 1,117 | 41 | 0.1% |
| 82 | Nikolai ProkhorkinFLAK | LAK | 2.19 | 520 | 19 | — |
| 83 | Connor BrownFOTT | OTT | 2.18 | 1,428 | 52 | 6.6%▲5.1 |
| 84 | Oliver BjorkstrandFCBJ | CBJ | 2.18 | 879 | 32 | 20% |
| 85 | Nic DowdFWSH | WSH | 2.18 | 607 | 22 | 3.2%▲3.1 |
| 86 | Gabriel LandeskogFCOL | COL | 2.16 | 1,082 | 39 | 50%▲32 |
| 87 | Marcus FolignoFMIN | MIN | 2.16 | 861 | 31 | 4.2%▲3.4 |
| 88 | Evander KaneFSJS | SJS | 2.16 | 1,250 | 45 | 5.7%▲0.8 |
| 89 | Tyler MotteFVAN | VAN | 2.15 | 446 | 16 | — |
| 90 | Zack SmithFCHI | CHI | 2.14 | 589 | 21 | — |
| 91 | Ivan BarbashevFSTL | STL | 2.13 | 928 | 33 | 68%▲27 |
| 92 | Sam LaffertyFPIT | PIT | 2.12 | 481 | 17 | 0.0% |
| 93 | Nino NiederreiterFCAR | CAR | 2.12 | 993 | 35 | 4.0%▲3.8 |
| 94 | Mark PysykDFLA | FLA | 2.11 | 740 | 26 | — |
| 95 | Kevin HayesFPHI | PHI | 2.11 | 1,223 | 43 | 0.0% |
| 96 | Michael AmadioFLAK | LAK | 2.10 | 885 | 31 | 3.3%▲2.6 |
| 97 | Alexandre TexierFCBJ | CBJ | 2.09 | 459 | 16 | 4.9%▲4.3 |
| 98 | Shea TheodoreDVGK | VGK | 2.09 | 1,579 | 55 | 91%▲28 |
| 99 | Melker KarlssonFSJS | SJS | 2.08 | 748 | 26 | — |
| 100 | Stefan NoesenFSJS/PIT | SJS/PIT | 2.08 | 461 | 16 | 0.1% |
Minimum sample: 426 minutes (it scales with games played). 286 below the minimum are hidden.
How to read it
Takeaways per 60 minutes of ice time, all situations.
How reliable is it?
Rates need minutes: early in a season, low-minute players swing the most.
About our data sources →Projected next
Our fantasy projections for takeaways: who should lead the coming games.