TOI Breakouts · per-60 × ice time

Pick any skater in the league and drag their ice time to see what the role is worth — production scales at their own rate per 60 minutes. Below, the breakout board ranks who already produces at a high rate and is projected for more minutes in 2026-27: +pts is what the minutes change alone adds.

Team
Player
67
projected points
0 vs model
8 min30 min
18.9 min/gamelast season 17.3 → model 18.9 · L1·PP1games
67
Points
3.15/60
40
Goals
1.87/60
27
Assists
1.28/60
279
Shots
13.01/60
19
PP pts
0.87/60
63
Hits
2.92/60
19
Blocks
0.91/60
27
PIM
1.28/60
Rates are last season's per 60 minutes (76 GP). Totals scale linearly with ice time and games — a rate this good over a small sample is a bet, not a guarantee. A dash for last season means no NHL history, so that player is shown at his role's baseline. Full profile →
sortBiggest opportunityPer-60 rate
#PlayerTmProj roleP/60iSCF/6025-26 TOI26-27 TOIΔ minProj pts+pts
1Linus Karlsson · CVANL1·PP22.134.1312.515.8+3.335+8.0
2Matthew Wood · RNSHL1·PP22.064.412.315.8+3.533+7.0
3Casey Mittelstadt · CBOSL1·PP22.343.4515.217+1.848+5.0
4Cutter Gauthier · LANAL1·PP13.155.6117.318.9+1.664+5.0
5Brady Tkachuk · LFLAL1·PP13.477.291718.2+1.278+5.0
6Jake DeBrusk · LVANL1·PP11.846.4416.919.3+2.445+5.0
7Jack Quinn · RBUFL1·PP22.385.7315.717+1.349+4.0
8Nikolaj Ehlers · LCARL1·PP13.134.116.617.7+1.168+4.0
9Charle-Edouard D'Astous · DTBLD1·PP21.321.0918.821+2.233+4.0
10Jordan Kyrou · RWSHL1·PP12.445.7915.717+1.354+4.0
11Chris Kreider · LANAL1·PP22.354.611718.4+1.449+4.0
12Pavel Zacha · CBOSL1·PP12.984.4416.817.7+0.966+4.0
13Elias Pettersson · CVANL1·PP12.184.11920.4+1.459+4.0
14Matt Coronato · RCGYL1·PP12.024.6716.718.4+1.744+4.0
15Morgan Frost · CCGYL1·PP12.034.1515.517.3+1.842+4.0
16Michael Misa · CSJSL3·PP22.194.5812.814+1.229+3.0
17Jimmy Snuggerud · RSTLL1·PP12.625.6516.717.5+0.854+3.0
18Danila Yurov · RMINL2·PP21.673.7113.314.9+1.631+3.0
19Ryan Donato · CCHIL11.493.6814.716.4+1.733+3.0
20Frank Vatrano · RANAL3·PP20.922.9511.813.5+1.722+3.0
21Patrick Kane · RCHIL1·PP12.884.1517.718.5+0.855+3.0
22Jared McCann · LSEAL1·PP12.814.9216.417.4+1.059+3.0
23Egor Chinakhov · RPITL3·PP22.595.2513.514.8+1.338+3.0
24Filip Hronek · DVAND1·PP11.430.642526.5+1.548+3.0
25Paul Cotter · LVANL31.063.4810.712.7+2.016+3.0
26Kaedan Korczak · DPITD10.770.581619.1+3.115+2.0
27Gabe Perreault · RNYRL1·PP22.073.671616.8+0.831+2.0
28Tye Kartye · LNYRL31.722.731213.1+1.122+2.0
29William Carrier · LCARL31.433.7310.812+1.217+2.0
30Ville Koivunen · RPITL3·PP20.853.5112.714+1.317+2.0
31Taylor Hall · LCARL2·PP22.484.614.515.4+0.942+2.0
32Peyton Krebs · CBUFL32.072.3313.814.7+0.937+2.0
33Kaapo Kakko · RSEAL2·PP22.583.2914.315.1+0.841+2.0
34Anthony Cirelli · CTBLL1·PP22.544.117.317.9+0.657+2.0
35Emmitt Finnie · CDETL1·PP21.424.1515.516.4+0.934+2.0
36Nikita Nesterenko · CANAL31.512.5212.313.8+1.511+2.0
37Alex Killorn · LANAL2·PP21.453.5516.718.1+1.430+2.0
38Nick Jensen · DANAD10.980.351719+2.018+2.0
39Alexis Lafrenière · LNYRL1·PP12.374.9117.618.4+0.858+2.0
40Mason Lohrei · DBOSD2·PP21.261.2616.918.4+1.526+2.0
41Dakota Joshua · CTORL31.613.6712.213+0.818+2.0
42Emil Andrae · DTORD10.840.8415.317.8+2.512+2.0
43Jonathan Marchessault · CNSHL1·PP21.84.3516.717.8+1.140+2.0
44Jake Middleton · DCGYD20.730.7317.519.6+2.117+2.0
45Elias Pettersson · DVAND10.570.41519.3+4.39+2.0
46Sean Durzi · DNYRD2·PP21.40.8319.320.5+1.231+2.0
47Steven Lorentz · CTORL31.282.6311.912.9+1.016+2.0
48Colton Dach · CEDML3·PP21.112.8211.512.6+1.114+2.0
49Tommy Novak · CPITL2·PP22.154.9614.315.4+1.138+2.0
50Brendan Gallagher · RVANL3·PP21.453.912.413.4+1.023+2.0
51Ryker Evans · DSEAD10.860.2517.820.4+2.618+2.0
52Ryan Winterton · CSEAL31.323.161213.2+1.219+2.0
53Ryan Nugent-Hopkins · CEDML1·PP12.444.7119.119.7+0.660+2.0
54Valeri Nichushkin · RCBJL1·PP22.314.9417.718.3+0.648+2.0
55Adam Klapka · RCGYL31.292.7210.612.2+1.617+2.0
56Artyom Levshunov · DCHID1·PP11.080.9519.620.9+1.325+1.0
57Fedor Svechkov · CCOLL31.23.1912.112.8+0.719+1.0
58Vinnie Hinostroza · CCOLL31.523.0510.911.7+0.815+1.0
59Kevin Bahl · DCGYD10.650.2521.922.5+0.617+1.0
60Dmitri Simashev · DUTAD10.140.1415.117.4+2.33+1.0

per-60 x projected TOI (2026-27 role) x projected GP; pts_gain = points added by the minutes change alone. All-situations rates from last season, shrunk toward the projection model by sample size (p60 is the raw measured rate, p60_used drives the total). Projected minutes are normalised so each club's lineup fits the 300 skater-minutes a game actually has. iSCF/60 is individual scoring chances per 60 — shot attempts our xG model prices at 0.08 or better. Points per 60 can ride good linemates; chance rate is the player's own, so the two agreeing is the stronger breakout signal.