More skater stats
NHL Takeaways per 60 Leaders
2017-18All situationsThrough 82 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 2017-18: Jeff Skinner (CAR), 4.07 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 | Jeff SkinnerFCAR | CAR | 4.07 | 1,370 | 93 | 0.1% |
| 2 | Mitch MarnerFTOR | TOR | 3.80 | 1,344 | 85 | 99%▲1.3 |
| 3 | Connor McDavidFEDM | EDM | 3.77 | 1,767 | 111 | 100%▲1.5 |
| 4 | Nick SchmaltzFCHI | CHI | 3.63 | 1,422 | 86 | 94%▲4.4 |
| 5 | Blake ColemanFNJD | NJD | 3.59 | 1,137 | 68 | 38%▼24 |
| 6 | Nick BoninoFNSH | NSH | 3.46 | 1,110 | 64 | — |
| 7 | Jake VirtanenFVAN | VAN | 3.40 | 899 | 51 | — |
| 8 | Taylor HallFNJD | NJD | 3.34 | 1,455 | 81 | 28%▲20 |
| 9 | Pierre-Edouard BellemareFVGK | VGK | 3.31 | 888 | 49 | — |
| 10 | Auston MatthewsFTOR | TOR | 3.15 | 1,124 | 59 | 99% |
| 11 | Mikael BacklundFCGY | CGY | 3.12 | 1,560 | 81 | 14%▲9.3 |
| 12 | Leon DraisaitlFEDM | EDM | 3.11 | 1,507 | 78 | 100% |
| 13 | Cody EakinFVGK | VGK | 3.10 | 1,163 | 60 | — |
| 14 | Brendan LeipsicFVGK/VAN | VGK/VAN | 3.07 | 762 | 39 | — |
| 15 | William KarlssonFVGK | VGK | 3.05 | 1,535 | 78 | 24%▲20 |
| 16 | Evgeni MalkinFPIT | PIT | 3.04 | 1,481 | 75 | 82%▲11 |
| 17 | Craig SmithFNSH | NSH | 3.01 | 1,215 | 61 | — |
| 18 | William NylanderFTOR | TOR | 2.98 | 1,368 | 68 | 99%▼0.8 |
| 19 | Mark StoneFOTT | OTT | 2.95 | 1,199 | 59 | 93%▲9.6 |
| 20 | Tomas NosekFVGK | VGK | 2.91 | 743 | 36 | — |
| 21 | Joel ArmiaFWPG | WPG | 2.89 | 996 | 48 | 3.3%▲3.1 |
| 22 | Alex TuchFVGK | VGK | 2.87 | 1,190 | 57 | 94%▼5.5 |
| 23 | Rick NashFNYR/BOS | NYR/BOS | 2.87 | 1,211 | 58 | — |
| 24 | Kyle BrodziakFSTL | STL | 2.86 | 1,090 | 52 | — |
| 25 | Aleksander BarkovFFLA | FLA | 2.82 | 1,744 | 82 | 97%▲7 |
| 26 | Riley NashFBOS | BOS | 2.82 | 1,171 | 55 | — |
| 27 | Joonas DonskoiFSJS | SJS | 2.79 | 988 | 46 | — |
| 28 | Sam BennettFCGY | CGY | 2.74 | 1,181 | 54 | 84%▲4.3 |
| 29 | Mats ZuccarelloFNYR | NYR | 2.73 | 1,514 | 69 | 51%▲29 |
| 30 | Jannik HansenFSJS | SJS | 2.71 | 554 | 25 | — |
| 31 | Reilly SmithFVGK | VGK | 2.70 | 1,201 | 54 | — |
| 32 | Mathew BarzalFNYI | NYI | 2.68 | 1,457 | 65 | 84%▲11 |
| 33 | Patrice BergeronFBOS | BOS | 2.65 | 1,244 | 55 | — |
| 34 | Phillip DanaultFMTL | MTL | 2.64 | 863 | 38 | 4.9%▲4.5 |
| 35 | Victor RaskFCAR | CAR | 2.64 | 1,092 | 48 | — |
| 36 | Denis MalginFFLA | FLA | 2.63 | 707 | 31 | — |
| 37 | Jonathan MarchessaultFVGK | VGK | 2.63 | 1,348 | 59 | 24%▼21 |
| 38 | Jared McCannFFLA | FLA | 2.60 | 901 | 39 | 72%▲1.9 |
| 39 | Brad MarchandFBOS | BOS | 2.60 | 1,341 | 58 | 73%▲0.7 |
| 40 | Derek RyanFCAR | CAR | 2.60 | 1,248 | 54 | — |
| 41 | Artemi PanarinFCBJ | CBJ | 2.58 | 1,631 | 70 | 97%▼1.8 |
| 42 | Anton SlepyshevFEDM | EDM | 2.54 | 591 | 25 | — |
| 43 | Sebastian AhoFCAR | CAR | 2.53 | 1,398 | 59 | 99%▲1.2 |
| 44 | Tomas HertlFSJS | SJS | 2.52 | 1,430 | 60 | 84%▲3.2 |
| 45 | Nick BjugstadFFLA | FLA | 2.52 | 1,240 | 52 | 0.1% |
| 46 | Nico HischierFNJD | NJD | 2.51 | 1,337 | 56 | 97%▲2.3 |
| 47 | Filip ForsbergFNSH | NSH | 2.51 | 1,171 | 49 | 99%▲1.7 |
| 48 | Nikita KucherovFTBL | TBL | 2.50 | 1,586 | 66 | 100% |
| 49 | Jaccob SlavinDCAR | CAR | 2.49 | 1,852 | 77 | 16%▲4.6 |
| 50 | Mathieu PerreaultFWPG | WPG | 2.49 | 1,012 | 42 | — |
| 51 | Jonathan DrouinFMTL | MTL | 2.48 | 1,355 | 56 | 0.5% |
| 52 | Brian GibbonsFNJD | NJD | 2.47 | 851 | 35 | — |
| 53 | Ryan Nugent-HopkinsFEDM | EDM | 2.46 | 1,122 | 46 | 77%▲15 |
| 54 | Jimmy VeseyFNYR | NYR | 2.44 | 1,132 | 46 | — |
| 55 | Radim VrbataFFLA | FLA | 2.44 | 542 | 22 | — |
| 56 | Alex ChiassonFWSH | WSH | 2.42 | 718 | 29 | — |
| 57 | Leo KomarovFTOR | TOR | 2.41 | 1,168 | 47 | — |
| 58 | James NealFVGK | VGK | 2.41 | 1,219 | 49 | — |
| 59 | Timo MeierFSJS | SJS | 2.39 | 1,204 | 48 | 82%▼8 |
| 60 | Kevin HayesFNYR | NYR | 2.37 | 1,319 | 52 | 0.0% |
| 61 | Mike MathesonDFLA | FLA | 2.36 | 1,728 | 68 | 85%▼7.8 |
| 62 | Yanni GourdeFTBL | TBL | 2.35 | 1,325 | 52 | 4.9%▲4 |
| 63 | Barclay GoodrowFSJS | SJS | 2.35 | 512 | 20 | 0.1% |
| 64 | Vinnie HinostrozaFCHI | CHI | 2.34 | 691 | 27 | 0.0% |
| 65 | Casey CizikasFNYI | NYI | 2.34 | 846 | 33 | 0.1% |
| 66 | Jason ZuckerFMIN | MIN | 2.33 | 1,391 | 54 | 23%▲17 |
| 67 | Michael GrabnerFNYR/NJD | NYR/NJD | 2.33 | 1,185 | 46 | — |
| 68 | Chris KunitzFTBL | TBL | 2.33 | 980 | 38 | — |
| 69 | Jamie BennFDAL | DAL | 2.33 | 1,625 | 63 | 22%▲18 |
| 70 | Ryan O'ReillyFBUF | BUF | 2.31 | 1,686 | 65 | 84%▲5 |
| 71 | David PerronFVGK | VGK | 2.31 | 1,247 | 48 | 0.2% |
| 72 | Joe ThorntonFSJS | SJS | 2.30 | 862 | 33 | — |
| 73 | Jordan StaalFCAR | CAR | 2.29 | 1,521 | 58 | 20%▲13 |
| 74 | Chris TierneyFSJS | SJS | 2.29 | 1,312 | 50 | — |
| 75 | Dmitrij JaskinFSTL | STL | 2.28 | 946 | 36 | — |
| 76 | Logan CoutureFSJS | SJS | 2.28 | 1,447 | 55 | — |
| 77 | Mika ZibanejadFNYR | NYR | 2.27 | 1,293 | 49 | 98%▲1.4 |
| 78 | Mark ScheifeleFWPG | WPG | 2.27 | 1,241 | 47 | 99% |
| 79 | Ryan GetzlafFANA | ANA | 2.25 | 1,200 | 45 | — |
| 80 | Blake ComeauFCOL | COL | 2.25 | 1,254 | 47 | — |
| 81 | T.J. OshieFWSH | WSH | 2.25 | 1,362 | 51 | — |
| 82 | Jaden SchwartzFSTL | STL | 2.25 | 1,202 | 45 | 11%▲11 |
| 83 | Pavel ZachaFNJD | NJD | 2.24 | 992 | 37 | 78%▲13 |
| 84 | Travis ZajacFNJD | NJD | 2.23 | 1,128 | 42 | — |
| 85 | Justin FaulkDCAR | CAR | 2.23 | 1,692 | 63 | 55%▼22 |
| 86 | Johan LarssonFBUF | BUF | 2.23 | 1,129 | 42 | — |
| 87 | Vincent TrocheckFFLA | FLA | 2.23 | 1,752 | 65 | 88%▼5.4 |
| 88 | Dominic MooreFTOR | TOR | 2.21 | 515 | 19 | — |
| 89 | Sean MonahanFCGY | CGY | 2.21 | 1,382 | 51 | 19%▲13 |
| 90 | Charles HudonFMTL | MTL | 2.20 | 1,010 | 37 | — |
| 91 | Connor BrownFTOR | TOR | 2.19 | 1,231 | 45 | 6.6%▲5.1 |
| 92 | Jonathan ToewsFCHI | CHI | 2.18 | 1,457 | 53 | 0.3% |
| 93 | Danton HeinenFBOS | BOS | 2.18 | 1,157 | 42 | 0.0% |
| 94 | Michael FrolikFCGY | CGY | 2.18 | 1,185 | 43 | — |
| 95 | Brent BurnsDSJS | SJS | 2.17 | 2,070 | 75 | 50%▼14 |
| 96 | Josh AndersonFCBJ | CBJ | 2.16 | 1,136 | 41 | 10%▲9.2 |
| 97 | Ondrej PalatFTBL | TBL | 2.14 | 952 | 34 | 0.1% |
| 98 | Carl HagelinFPIT | PIT | 2.14 | 1,291 | 46 | — |
| 99 | John HaydenFCHI | CHI | 2.12 | 509 | 18 | — |
| 100 | David BackesFBOS | BOS | 2.12 | 878 | 31 | — |
Minimum sample: 492 minutes (it scales with games played). 289 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.