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Projections

Every headline stat per skater over the full 2026-27 regular season (Sep 29, 2026 – Apr 10, 2027), ranked league-wide by points. 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.

912 skaters · sorted by points · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
301
Justin SourdifWSH · C
36.7
16.0
20.8
113.7
3.2
102.6
42.5
40.3
84
302
Travis SanheimPHI · D
36.7
11.2
25.5
121.5
2.7
66.7
159.3
32.0
84
303
Nick AbruzzeseTBL · C11 sample
36.7
12.1
24.6
117.2
9.6
90.3
54.7
32.8
84
304
Owen PowerBUF · D
36.6
7.0
29.6
123.1
2.9
34.3
101.8
17.7
84
305
Corey PerryLAK · R
36.5
19.2
17.3
122.0
12.0
51.1
24.8
77.7
84
306
Eetu LuostarinenFLA · C
36.5
13.9
22.6
115.0
2.5
160.9
64.2
36.7
84
307
Calum RitchieNYI · C
36.4
16.0
20.4
106.2
13.0
30.7
44.8
26.6
84
308
Anthony DuclairNYI · L
36.2
17.6
18.7
121.3
8.7
32.8
50.1
22.0
84
309
Barrett HaytonUTA · C
36.2
15.0
21.2
157.5
9.8
44.6
40.7
58.7
84
310
Filip ChytilVAN · C
36.1
18.6
17.5
185.8
4.7
35.9
29.5
30.5
84
311
Jake WalmanEDM · D
36.0
10.7
25.4
163.3
4.7
55.7
164.3
41.7
84
312
Phillip DanaultMTL · C
36.0
10.4
25.6
119.8
3.3
89.0
62.6
30.8
84
313
Justin BrazeauPIT · R
35.9
17.8
18.1
119.2
6.0
136.2
51.8
20.1
84
314
Seamus CaseyNJD · D17 sample
35.9
17.1
18.8
96.2
12.4
58.2
52.2
7.1
84
315
Matt SavoieEDM · C
35.9
16.7
19.2
140.4
6.5
19.1
39.3
24.6
84
316
Ridly GreigOTT · C
35.8
13.8
22.1
134.0
5.0
127.8
55.3
79.7
84
317
Mavrik BourqueNSH · C
35.7
17.3
18.4
139.8
4.3
87.5
28.7
23.2
84
318
Cole SillingerCBJ · C
35.6
11.4
24.2
150.9
1.9
113.2
50.0
44.8
84
319
Frank VatranoANA · R
35.5
18.8
16.7
198.2
6.5
146.1
61.6
72.3
84
320
Oliver Ekman-LarssonTOR · D
35.5
7.4
28.1
121.7
8.1
106.7
81.9
68.5
84
321
Damon SeversonCBJ · D
35.5
9.1
26.4
111.6
3.9
51.4
108.4
54.2
84
322
Fabian ZetterlundOTT · L
35.5
17.4
18.1
157.0
8.3
150.2
49.5
18.6
84
323
Ben KindelPIT · C
35.5
17.1
18.4
161.3
10.1
42.0
64.9
18.8
84
324
Mattias SamuelssonBUF · D
35.5
12.0
23.4
105.1
0.4
159.7
152.2
34.6
84
325
Hampus LindholmBOS · D
35.2
7.7
27.5
127.8
5.7
34.4
120.1
65.5
84
326
Linus KarlssonVAN · C
35.1
14.4
20.6
120.2
4.5
85.7
25.8
43.3
84
327
Gustav NyquistWPG · R
35.0
9.9
25.1
115.9
9.0
47.0
35.6
16.4
84
328
Nicolas RoyCOL · C
34.8
14.2
20.7
107.1
3.9
98.2
48.7
38.7
84
329
Gage GoncalvesTBL · C
34.8
12.0
22.8
87.3
3.0
101.8
31.8
36.6
84
330
Nicholas RobertsonPIT · L
34.8
19.9
14.9
139.7
3.7
81.1
40.4
16.8
84
331
J.T. CompherDET · L
34.8
13.3
21.5
107.8
5.5
31.5
62.1
28.8
84
332
Connor ZaryCGY · C
34.7
15.5
19.2
134.4
8.8
47.1
27.1
24.7
84
333
Zachary BolducMTL · R
34.7
16.1
18.6
114.0
7.5
163.7
42.7
45.2
84
334
Dmitry OrlovSJS · D
34.6
5.0
29.7
113.3
10.8
128.8
80.4
41.9
84
335
Mackie SamoskevichSEA · R
34.6
14.0
20.6
165.8
11.1
150.1
36.4
27.6
84
336
Alex BumpPHI · L25 sample
34.5
21.3
13.3
110.6
0.6
108.5
36.6
8.6
84
337
Yanni GourdeTBL · C
34.3
10.2
24.2
121.6
1.1
134.4
42.2
70.2
84
338
Nick PaulTOR · L
34.3
17.3
16.9
134.2
5.4
119.7
41.9
45.1
84
339
Alex BelzileMTL · R
34.1
14.0
20.2
115.0
2.5
88.3
60.2
36.5
84
340
Michael CarconeUTA · L
34.1
18.2
15.9
143.8
3.5
139.4
19.2
32.5
84
341
Kirby DachMTL · C
34.0
16.4
17.6
112.3
6.7
130.1
53.5
66.8
84
342
Matthew WoodNSH · R
33.8
18.7
15.2
118.7
8.8
65.1
31.9
17.2
84
343
Philip BrobergSTL · D
33.8
7.1
26.7
101.5
4.0
41.4
105.0
16.8
84
344
Fraser MintenBOS · C
33.8
16.6
17.2
117.0
2.9
150.9
49.3
17.9
84
345
Charle-Edouard D'AstousTBL · D
33.7
6.9
26.8
96.2
3.5
119.4
89.1
125.4
84
346
Kasperi KapanenEDM · R
33.7
15.5
18.2
125.7
2.2
139.3
29.5
28.9
84
347
Kailer YamamotoUTA · R
33.6
16.5
17.2
90.8
2.6
86.8
28.9
25.3
84
348
Mackenzie MacEachernVAN · L38 sample
33.5
8.9
24.7
73.0
1.2
110.6
52.0
84.6
84
349
Peyton KrebsBUF · C
33.5
10.7
22.9
86.7
1.3
168.0
36.8
75.7
84
350
Denton MateychukCBJ · D
33.5
12.7
20.8
97.0
2.6
34.3
103.6
15.7
84

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