Skip to content

Projections

Every headline stat per skater over the full 2026-27 regular season (Sep 29, 2026 – Apr 10, 2027), ranked by goals. Each total assumes the skater plays every one of his team’s games.

Sort by
PTS PointsG GoalsA AssistsSOG Shots on goalPPP Power-play pointsHIT HitsBLK Blocked shotsPIM Penalty minutes
View
Average weekFull-season pace
Position
AllF ForwardsC CentresLW Left wingsRW Right wingsD Defencemen
How the shading works — a stronger shade means more, not better, and a skater on a thin sample is left plain

Each figure sits on a tile shaded by its share of that stat’s leading projection in this view, in five steps from zero to the leader. Hits and penalty minutes shade the way points do. The leader is the league’s, among skaters whose rate rests on at least 41 real games, so a shade means the same on every page and under every filter. A skater with fewer is left unshaded, his sample marked beside his name.

589 forwards · sorted by goals · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
351
Vladislav NamestnikovWPG · C
29.9
11.8
18.1
104.1
6.1
104.2
51.3
42.9
84
352
Ryan GreeneCHI · C
30.5
11.8
18.7
109.5
4.0
50.1
40.2
14.3
84
353
Joshua RoyUTA · R38 sample
20.9
11.7
9.2
103.7
1.0
72.5
54.6
19.9
84
354
David TomasekEDM · R22 sample
20.7
11.7
9.0
116.1
7.7
68.1
26.8
38.4
84
355
Andrew CoppDET · C
41.8
11.7
30.2
120.5
6.2
39.4
61.1
22.7
84
356
Teddy BluegerTOR · C
30.9
11.7
19.3
106.4
0.9
116.9
46.3
40.9
84
357
Jonny BrodzinskiWSH · C
26.2
11.7
14.6
108.9
2.2
60.9
31.5
15.6
84
358
Marat KhusnutdinovBOS · C
27.6
11.6
16.0
68.3
1.3
65.6
46.6
19.6
84
359
Carl GrundstromPHI · R
20.1
11.6
8.5
118.3
0.4
241.9
35.0
31.6
84
360
Mitchell ChaffeeNYI · R
19.4
11.6
7.9
80.5
3.2
192.2
34.5
25.1
84
361
Dominik ShineDET · R27 sample
15.1
11.5
3.7
64.0
0.7
83.9
31.4
53.0
84
362
Cole SillingerCBJ · C
35.6
11.4
24.2
150.9
1.9
113.2
50.0
44.8
84
363
Isak RosenWPG · R
20.5
11.4
9.1
83.0
5.8
37.7
48.8
1.8
84
364
Stephen HallidayOTT · C30 sample
31.3
11.4
19.9
97.6
8.4
85.2
25.3
7.8
84
365
Alex Barré-BouletSJS · C
25.2
11.3
13.9
87.8
4.2
78.2
21.3
26.2
84
366
Alex FormentonEDM · L
37.8
11.3
26.5
132.9
1.5
159.6
39.5
35.8
84
367
Morgan BarronWPG · C
24.5
11.2
13.3
113.4
0.3
156.1
48.5
32.4
84
368
Sandis VilmanisFLA · L21 sample
19.9
11.2
8.7
74.5
0.7
183.0
42.5
16.7
84
369
Blake LizottePIT · C
27.7
11.2
16.5
85.5
0.5
85.3
46.3
38.6
84
370
Noel AcciariPHI · C
22.2
11.0
11.2
100.9
0.1
151.6
92.2
32.5
84
371
Elmer SoderblomPIT · L
21.5
11.0
10.5
105.4
0.2
144.2
27.1
28.1
84
372
Jack McBainUTA · C
27.7
10.9
16.8
101.4
0.9
293.6
48.9
83.6
84
373
Tanner PearsonBUF · L
25.0
10.9
14.2
100.4
0.7
107.8
44.5
29.1
84
374
Juuso ParssinenNYR · C
24.1
10.8
13.3
72.2
3.3
132.2
41.9
33.9
84
375
Pontus HolmbergTBL · R
24.3
10.8
13.5
98.5
0.5
75.3
47.8
34.3
84
376
Michael EyssimontBOS · C
23.3
10.8
12.5
159.4
3.4
111.8
29.9
64.6
84
377
Rutger McGroartyPIT · R32 sample
23.6
10.8
12.8
127.9
0.6
96.5
34.0
13.9
84
378
Mark KastelicBOS · C
22.0
10.7
11.2
97.0
0.7
234.2
61.9
137.4
84
379
Jaroslav ChmelarNYR · R30 sample
17.1
10.7
6.4
74.5
0.5
151.8
43.6
29.6
84
380
Peyton KrebsBUF · C
33.5
10.7
22.9
86.7
1.3
168.0
36.8
75.7
84
381
Nils HoglanderNSH · L
23.6
10.6
12.9
96.4
0.7
98.5
22.0
30.8
84
382
Jonathan DrouinSTL · L
44.9
10.6
34.3
116.0
14.1
32.7
37.3
23.7
84
383
Michael RasmussenDET · C
23.9
10.6
13.3
99.1
1.5
118.6
75.4
28.3
84
384
Reid SchaeferNSH · L
14.7
10.4
4.2
72.8
0.3
185.2
55.4
29.6
84
385
Cole KoepkeWPG · L
20.9
10.4
10.5
104.5
0.1
221.2
26.6
19.9
84
386
Calle JarnkrokTOR · C
20.7
10.4
10.3
83.2
1.6
65.5
23.0
15.1
84
387
Phillip DanaultMTL · C
36.0
10.4
25.6
119.8
3.3
89.0
62.6
30.8
84
388
Jack DruryNSH · C
26.5
10.3
16.1
106.5
1.6
52.5
53.1
32.8
84
389
Martin KautSJS · R
23.4
10.3
13.1
106.8
3.9
69.8
30.0
18.0
84
390
Alexander HoltzVGK · R
24.7
10.2
14.5
106.7
2.1
66.2
26.3
21.6
84
391
Yanni GourdeTBL · C
34.3
10.2
24.2
121.6
1.1
134.4
42.2
70.2
84
392
Ondrej PalatNYI · L
25.1
10.1
15.0
102.7
3.3
136.1
66.3
18.6
84
393
Adam ErneDAL · L
16.2
10.1
6.2
82.1
0.3
244.2
41.0
34.0
84
394
Sam SteelDAL · C
31.0
10.0
21.0
94.7
1.9
84.7
32.5
31.3
84
395
Vinni LettieriTOR · C
18.5
10.0
8.5
129.9
1.5
142.9
51.3
30.4
84
396
Logan O'ConnorCOL · R
24.2
10.0
14.2
102.4
0.2
91.5
45.3
34.9
84
397
Conor ShearyBUF · L
26.3
10.0
16.3
110.7
3.1
35.6
47.9
20.7
84
398
Gustav NyquistWPG · R
35.0
9.9
25.1
115.9
9.0
47.0
35.6
16.4
84
399
Colton SissonsTOR · C
23.6
9.9
13.7
97.5
3.0
149.0
69.0
30.8
84
400
Sheldon DriesDET · C
17.4
9.9
7.5
97.1
4.8
116.2
54.1
24.8
84

No consistency figure for goals: it has not passed the check this site requires, which is not a finding that goals is inconsistent.

Why there is no figure — a figure must repeat across a skater’s own games before it is shown

Before it shows a consistency figure, the site checks that the figure from a skater’s odd-numbered games agrees with the one from his even-numbered games, across skaters, more than chance would. That check withholds a figure both when a stat is measurably no better than chance and when the evidence is too split to call, and from here the two cannot be told apart. Sort by another stat to see the tag where it holds. Measured 2026-10-03.

How the projections are built — a rate over every season since 2021-22, recent games weighted more, times the club’s schedule

A skater’s rate is his per-game output over every season since 2021-22, each season weighted half as much as the one after it, and pulled a little toward the league rate so a handful of games cannot top the board. The weighting was chosen by testing which one best predicted the rest of a season from the games before it. A skater needs ten games to appear here.

Each total is that rate times his club’s scheduled games. A full-season pace counts every scheduled game, played or not.

Availability is not projected: Team games is the club’s schedule, not a forecast of how many games the player dresses for, and injuries, scratches and trades are not modelled.

How well does projection ordering hold? View the ordering study

Scoring per dollar of cap hit has a board of its own: Cap efficiency