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Projections

Every headline stat per skater over the full 2026-27 regular season (Sep 29, 2026 – Apr 10, 2027), ranked by shots on goal. 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 shots on goal · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
251
Max DomiTOR · C
41.3
12.3
29.0
127.3
7.8
43.1
32.7
102.8
84
252
Marcus JohanssonMIN · L
45.5
16.0
29.4
127.2
9.5
54.2
27.6
14.4
84
253
Anze KopitarLAK · C
59.7
19.4
40.3
126.9
18.9
46.8
75.4
11.4
84
254
Jordan StaalCAR · C
38.6
19.3
19.3
126.3
3.9
210.6
50.2
33.4
84
255
Connor BrownNJD · R
38.1
16.0
22.2
126.0
4.8
31.3
39.9
18.2
84
256
Noah CatesPHI · L
41.9
16.1
25.8
126.0
6.7
100.2
55.3
28.0
84
257
Kasperi KapanenEDM · R
33.7
15.5
18.2
125.7
2.2
139.3
29.5
28.9
84
258
Ryan StromeCGY · C
40.3
13.5
26.8
125.7
6.6
47.5
29.5
67.9
84
259
Dillon DubeSTL · C
30.3
13.1
17.2
125.7
3.3
104.9
29.3
29.9
84
260
Alex IafalloWPG · L
31.3
14.0
17.3
124.9
6.9
98.8
61.9
16.9
84
261
Josh AndersonMTL · R
29.5
17.2
12.3
124.9
0.7
175.3
46.8
102.3
84
262
Alex NewhookMTL · C
39.2
21.0
18.1
124.8
5.1
93.5
38.1
32.6
84
263
Robby FabbriMIN · C
31.4
15.6
15.8
124.2
5.7
129.3
43.2
48.6
84
264
James van RiemsdykDET · L
39.2
17.3
22.0
124.0
9.7
30.5
28.5
21.5
84
265
Adam HenriqueEDM · C
29.6
12.0
17.6
123.3
5.7
73.2
89.2
22.9
84
266
Emmitt FinnieDET · C
30.9
13.3
17.6
123.2
8.2
133.5
42.6
7.0
84
267
Daniil ButUTA · L30 sample
25.2
13.6
11.6
122.6
8.1
62.3
50.0
22.8
84
268
Corey PerryLAK · R
36.5
19.2
17.3
122.0
12.0
51.1
24.8
77.7
84
269
Michael Brandsegg-NygårdDET · R14 sample
10.1
1.8
8.3
121.7
1.0
238.7
24.4
15.6
84
270
Yanni GourdeTBL · C
34.3
10.2
24.2
121.6
1.1
134.4
42.2
70.2
84
271
Oliver KapanenMTL · C
32.6
18.5
14.1
121.4
1.4
30.6
62.6
21.5
84
272
Anthony DuclairNYI · L
36.2
17.6
18.7
121.3
8.7
32.8
50.1
22.0
84
273
Andrew CoppDET · C
42.4
11.8
30.6
121.0
6.3
38.8
60.8
23.1
84
274
Bobby BrinkMIN · R
38.9
15.5
23.4
120.5
8.7
98.2
43.7
27.4
84
275
Lenni HameenahoNJD · R33 sample
21.4
5.6
15.8
120.4
0.5
53.9
42.3
35.9
84
276
Easton CowanTOR · R
41.9
15.6
26.3
120.4
9.6
93.9
39.3
53.6
84
277
Linus KarlssonVAN · C
35.1
14.4
20.6
120.2
4.5
85.7
25.8
43.3
84
278
Joel ArmiaLAK · R
30.8
15.5
15.3
120.1
1.8
91.5
46.1
34.2
84
279
Andrei KuzmenkoPIT · L
48.1
21.7
26.4
120.1
20.2
26.5
24.4
21.1
84
280
Teuvo TeravainenCHI · C
47.8
17.1
30.7
119.8
21.1
24.4
38.8
10.4
84
281
Phillip DanaultMTL · C
36.0
10.4
25.6
119.8
3.3
89.0
62.6
30.8
84
282
Justin BrazeauPIT · R
35.9
17.8
18.1
119.2
6.0
136.2
51.8
20.1
84
283
Matthew WoodNSH · R
33.8
18.7
15.2
118.7
8.8
65.1
31.9
17.2
84
284
Michael MisaSJS · C
37.6
16.0
21.6
118.6
7.2
31.6
42.2
18.8
84
285
Mathieu OlivierCBJ · R
32.6
18.4
14.1
118.4
0.1
284.6
65.5
140.3
84
286
Philipp KurashevSJS · C
37.7
13.8
23.9
118.4
6.8
58.3
34.3
26.5
84
287
Carl GrundstromPHI · R
20.1
11.6
8.5
118.3
0.4
241.9
35.0
31.6
84
288
Jake NeighboursSTL · L
44.1
20.5
23.5
118.0
10.4
179.4
48.1
52.8
84
289
Gabe PerreaultNYR · R
43.7
20.9
22.8
117.8
9.1
46.7
38.2
16.0
84
290
Fraser MintenBOS · C
34.4
16.9
17.5
117.6
3.0
152.1
50.2
18.2
84
291
Mason ShawMIN · C
21.9
8.5
13.4
117.5
1.1
120.9
38.0
113.4
84
292
Adam SykoraNYR · L11 sample
31.8
21.6
10.2
117.4
1.3
145.1
75.2
38.6
84
293
Nick AbruzzeseTBL · C11 sample
36.7
12.1
24.6
117.2
9.6
90.3
54.7
32.8
84
294
Matias MaccelliNYI · L
44.2
15.2
28.9
116.9
9.1
26.3
20.1
18.7
84
295
Ethen FrankWSH · R
31.4
15.8
15.6
116.8
5.2
67.4
60.4
24.3
84
296
Justin SourdifWSH · C
37.6
16.4
21.3
116.5
3.3
105.2
43.6
37.2
84
297
Jared WrightLAK · R27 sample
14.2
1.0
13.3
116.4
0.6
105.6
59.8
14.4
84
298
Collin GrafSJS · R
43.0
19.4
23.6
116.3
2.8
84.4
49.5
21.9
84
299
David TomasekEDM · R22 sample
20.7
11.7
9.0
116.1
7.7
68.1
26.8
38.4
84
300
Jonathan DrouinSTL · L
44.9
10.6
34.3
116.0
14.1
32.7
37.3
23.7
84

No consistency figure for shots on goal: it has not passed the check this site requires, which is not a finding that shots on goal 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 2026-10-02.

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