More skater stats
NHL Takeaways per 60 Leaders
2021-22All 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 2021-22: Mark Stone (VGK), 4.95 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 | Mark StoneFVGK | VGK | 4.95 | 679 | 56 | 93%▲9.6 |
| 2 | Auston MatthewsFTOR | TOR | 3.67 | 1,504 | 92 | 99% |
| 3 | Jimmy VeseyFNJD | NJD | 3.49 | 981 | 57 | — |
| 4 | Anton LundellFFLA | FLA | 3.46 | 1,023 | 59 | 46%▲31 |
| 5 | Evgeni MalkinFPIT | PIT | 3.27 | 752 | 41 | 82%▲11 |
| 6 | Jack HughesFNJD | NJD | 3.07 | 959 | 49 | 100% |
| 7 | Carter VerhaegheFFLA | FLA | 3.02 | 1,252 | 63 | 72% |
| 8 | Mitch MarnerFTOR | TOR | 2.87 | 1,504 | 72 | 99%▲1.3 |
| 9 | Alex PietrangeloDVGK | VGK | 2.83 | 1,972 | 93 | 4.0%▲3.7 |
| 10 | Mathieu JosephFTBL/OTT | TBL/OTT | 2.76 | 980 | 45 | 0.1% |
| 11 | Sebastian AhoFCAR | CAR | 2.72 | 1,497 | 68 | 99%▲1.2 |
| 12 | Nick SchmaltzFARI | ARI | 2.71 | 1,150 | 52 | 94%▲4.4 |
| 13 | Clayton KellerFARI | ARI | 2.71 | 1,349 | 61 | 100%▲2.1 |
| 14 | Michael McLeodFNJD | NJD | 2.69 | 1,026 | 46 | — |
| 15 | Nick PaulFOTT/TBL | OTT/TBL | 2.68 | 1,321 | 59 | 8.1%▲7.7 |
| 16 | Robert ThomasFSTL | STL | 2.66 | 1,352 | 60 | 93%▲20 |
| 17 | Erik KarlssonDSJS | SJS | 2.66 | 1,174 | 52 | 95% |
| 18 | Alex TuchFBUF | BUF | 2.61 | 920 | 40 | 94%▼5.5 |
| 19 | Aleksander BarkovFFLA | FLA | 2.60 | 1,360 | 59 | 97%▲7 |
| 20 | Anthony CirelliFTBL | TBL | 2.59 | 1,392 | 60 | 51%▲19 |
| 21 | Ryan McLeodFEDM | EDM | 2.58 | 906 | 39 | 26%▲20 |
| 22 | Owen TippettFFLA/PHI | FLA/PHI | 2.55 | 846 | 36 | 78%▼7 |
| 23 | Warren FoegeleFEDM | EDM | 2.55 | 1,034 | 44 | 4.0%▲3.9 |
| 24 | Logan CoutureFSJS | SJS | 2.55 | 1,458 | 62 | — |
| 25 | Filip ForsbergFNSH | NSH | 2.55 | 1,249 | 53 | 99%▲1.7 |
| 26 | Sean CouturierFPHI | PHI | 2.54 | 591 | 25 | 9.2%▲7.2 |
| 27 | Brandon HagelFCHI/TBL | CHI/TBL | 2.52 | 1,259 | 53 | 99%▲1.4 |
| 28 | Jason SpezzaFTOR | TOR | 2.52 | 763 | 32 | — |
| 29 | Adam FoxDNYR | NYR | 2.51 | 1,865 | 78 | 99%▲6.8 |
| 30 | Leon DraisaitlFEDM | EDM | 2.48 | 1,788 | 74 | 100% |
| 31 | Connor McDavidFEDM | EDM | 2.48 | 1,765 | 73 | 100%▲1.5 |
| 32 | Dawson MercerFNJD | NJD | 2.48 | 1,356 | 56 | 25%▲19 |
| 33 | Jaden SchwartzFSEA | SEA | 2.46 | 683 | 28 | 11%▲11 |
| 34 | Jonathan HuberdeauFFLA | FLA | 2.43 | 1,554 | 63 | 17%▲12 |
| 35 | Andrew MangiapaneFCGY | CGY | 2.42 | 1,290 | 52 | 3.2%▲3.1 |
| 36 | Henrik BorgstromFCHI | CHI | 2.41 | 547 | 22 | — |
| 37 | Ondrej KaseFTOR | TOR | 2.40 | 699 | 28 | — |
| 38 | William NylanderFTOR | TOR | 2.39 | 1,480 | 59 | 99%▼0.8 |
| 39 | Jaccob SlavinDCAR | CAR | 2.39 | 1,859 | 74 | 16%▲4.6 |
| 40 | Alexis LafrenièreFNYR | NYR | 2.39 | 1,105 | 44 | 82%▲13 |
| 41 | Tomas HertlFSJS | SJS | 2.39 | 1,635 | 65 | 84%▲3.2 |
| 42 | Connor BrownFOTT | OTT | 2.38 | 1,284 | 51 | 6.6%▲5.1 |
| 43 | Oliver BjorkstrandFCBJ | CBJ | 2.38 | 1,436 | 57 | 20% |
| 44 | Conor GarlandFVAN | VAN | 2.37 | 1,263 | 50 | 10%▲7.4 |
| 45 | MacKenzie WeegarDFLA | FLA | 2.37 | 1,870 | 74 | 93%▼7.2 |
| 46 | Yanni GourdeFSEA | SEA | 2.37 | 1,368 | 54 | 4.9%▲4 |
| 47 | Mikael BacklundFCGY | CGY | 2.35 | 1,404 | 55 | 14%▲9.3 |
| 48 | Alex DeBrincatFCHI | CHI | 2.35 | 1,710 | 67 | 100%▲2.5 |
| 49 | Dylan StromeFCHI | CHI | 2.34 | 1,203 | 47 | 83%▲11 |
| 50 | Mika ZibanejadFNYR | NYR | 2.34 | 1,591 | 62 | 98%▲1.4 |
| 51 | Artemi PanarinFNYR | NYR | 2.33 | 1,441 | 56 | 97%▼1.8 |
| 52 | Jonathan ToewsFCHI | CHI | 2.32 | 1,241 | 48 | 0.3% |
| 53 | Brock NelsonFNYI | NYI | 2.31 | 1,273 | 49 | 88%▼3.6 |
| 54 | Kyle ConnorFWPG | WPG | 2.30 | 1,720 | 66 | 99%▲1.1 |
| 55 | Max DomiFCBJ/CAR | CBJ/CAR | 2.30 | 939 | 36 | 5.8%▲4.6 |
| 56 | Yegor SharangovichFNJD | NJD | 2.30 | 1,255 | 48 | 7.8%▲0.9 |
| 57 | Ryan DonatoFSEA | SEA | 2.29 | 1,021 | 39 | 9.9%▲4.3 |
| 58 | Michael AmadioFVGK/TOR | VGK/TOR | 2.29 | 681 | 26 | 3.3%▲2.6 |
| 59 | Rudolfs BalcersFSJS | SJS | 2.29 | 917 | 35 | — |
| 60 | Brayden SchennFSTL | STL | 2.29 | 1,103 | 42 | 28%▲7.8 |
| 61 | Jack EichelFVGK | VGK | 2.28 | 659 | 25 | 99%▲1.4 |
| 62 | Teddy BluegerFPIT | PIT | 2.27 | 976 | 37 | 4.8%▲4.6 |
| 63 | Elias PetterssonFVAN | VAN | 2.26 | 1,488 | 56 | 87%▼5.5 |
| 64 | Nick BoninoFSJS | SJS | 2.25 | 1,336 | 50 | — |
| 65 | Matt BoldyFMIN | MIN | 2.24 | 723 | 27 | 100% |
| 66 | Jeff SkinnerFBUF | BUF | 2.24 | 1,368 | 51 | 0.1% |
| 67 | Danton HeinenFPIT | PIT | 2.24 | 966 | 36 | 0.0% |
| 68 | Tyson JostFCOL/MIN | COL/MIN | 2.22 | 1,026 | 38 | 0.0% |
| 69 | Mats ZuccarelloFMIN | MIN | 2.21 | 1,301 | 48 | 51%▲29 |
| 70 | Kirill KaprizovFMIN | MIN | 2.21 | 1,548 | 57 | 98%▼0.9 |
| 71 | Nikolaj EhlersFWPG | WPG | 2.20 | 1,120 | 41 | 93%▲7.5 |
| 72 | Joel ArmiaFMTL | MTL | 2.19 | 823 | 30 | 3.3%▲3.1 |
| 73 | Blake LizotteFLAK | LAK | 2.18 | 851 | 31 | 0.1% |
| 74 | Eetu LuostarinenFFLA | FLA | 2.18 | 1,048 | 38 | 12%▲10 |
| 75 | Alex FormentonFOTT | OTT | 2.16 | 1,221 | 44 | 9.6%▲9.6 |
| 76 | Jared McCannFSEA | SEA | 2.16 | 1,194 | 43 | 72%▲1.9 |
| 77 | William KarlssonFVGK | VGK | 2.16 | 1,225 | 44 | 24%▲20 |
| 78 | Jason RobertsonFDAL | DAL | 2.15 | 1,340 | 48 | 100% |
| 79 | Tyler MotteFVAN/NYR | VAN/NYR | 2.14 | 813 | 29 | — |
| 80 | Jansen HarkinsFWPG | WPG | 2.14 | 730 | 26 | 0.0% |
| 81 | Brandon SaadFSTL | STL | 2.13 | 1,269 | 45 | — |
| 82 | Ryan Nugent-HopkinsFEDM | EDM | 2.12 | 1,217 | 43 | 77%▲15 |
| 83 | Morgan FrostFPHI | PHI | 2.12 | 766 | 27 | 23%▲17 |
| 84 | Jordan EberleFSEA | SEA | 2.12 | 1,418 | 50 | 30%▲2.7 |
| 85 | Tage ThompsonFBUF | BUF | 2.11 | 1,395 | 49 | 100%▲1.3 |
| 86 | Derek StepanFCAR | CAR | 2.11 | 626 | 22 | — |
| 87 | Conor ShearyFWSH | WSH | 2.10 | 1,085 | 38 | 0.1% |
| 88 | Sean MonahanFCGY | CGY | 2.10 | 914 | 32 | 19%▲13 |
| 89 | K'Andre MillerDNYR | NYR | 2.09 | 1,690 | 59 | 64%▲26 |
| 90 | Mikael GranlundFNSH | NSH | 2.09 | 1,633 | 57 | 52%▼12 |
| 91 | Kevin HayesFPHI | PHI | 2.09 | 860 | 30 | 0.0% |
| 92 | Darren HelmFCOL | COL | 2.09 | 717 | 25 | — |
| 93 | Kasperi KapanenFPIT | PIT | 2.09 | 1,148 | 40 | 9.2%▲9 |
| 94 | Jake EvansFMTL | MTL | 2.08 | 1,123 | 39 | 5.7%▲5.2 |
| 95 | Mark ScheifeleFWPG | WPG | 2.08 | 1,416 | 49 | 99% |
| 96 | Vincent TrocheckFCAR | CAR | 2.07 | 1,448 | 50 | 88%▼5.4 |
| 97 | Pavel BuchnevichFSTL | STL | 2.07 | 1,336 | 46 | 36%▲7.6 |
| 98 | Sam BennettFFLA | FLA | 2.04 | 1,203 | 41 | 84%▲4.3 |
| 99 | Keegan KolesarFVGK | VGK | 2.03 | 974 | 33 | 5.2%▲3.4 |
| 100 | Gustav ForslingDFLA | FLA | 2.03 | 1,507 | 51 | 42%▲18 |
Minimum sample: 492 minutes (it scales with games played). 379 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.