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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 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.

589 forwards · sorted by points · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
401
Alex TurcotteLAK · C
23.6
6.3
17.3
90.0
0.5
69.9
43.6
29.6
84
402
Nils HoglanderNSH · L
23.6
10.6
12.9
96.4
0.7
98.5
22.0
30.8
84
403
Martin KautSJS · R
23.4
10.3
13.1
106.8
4.0
69.8
30.0
18.0
84
404
Miles WoodCBJ · L
23.4
11.9
11.4
137.2
0.5
111.0
32.3
66.3
84
405
Michael EyssimontBOS · C
23.3
10.8
12.5
159.4
3.4
111.8
29.9
64.6
84
406
Nick CousinsOTT · C
23.3
8.9
14.4
95.0
0.3
164.1
41.6
80.4
84
407
Nick BjugstadNJD · C
23.0
12.2
10.8
132.1
1.6
145.4
44.3
41.5
84
408
Martin PospisilCGY · C
22.9
5.5
17.4
114.8
2.2
310.9
26.7
93.2
84
409
Sampo RantaCOL · L16 sample
22.8
8.5
14.3
108.6
4.9
106.4
59.6
39.8
84
410
Ryan WintertonSEA · C
22.4
4.5
17.9
111.1
0.2
93.1
42.5
17.8
84
411
Juha JaaskaCAR · L18 sample
22.3
2.6
19.7
66.3
1.5
95.2
24.0
41.8
84
412
Lars EllerFLA · C
22.2
8.6
13.7
105.0
2.1
68.4
43.5
25.4
84
413
Fedor SvechkovCOL · C
22.2
7.0
15.2
88.3
2.3
67.6
37.5
25.2
84
414
Noel AcciariPHI · C
22.2
11.0
11.2
100.9
0.1
151.6
92.2
32.5
84
415
Nate DanielsonDET · C28 sample
22.2
6.5
15.6
95.7
8.9
29.3
29.8
13.9
84
416
Sean KuralyBOS · C
21.9
7.7
14.2
107.3
0.2
133.3
49.5
44.7
84
417
Mason ShawMIN · C
21.9
8.5
13.4
117.5
1.1
120.9
38.0
113.4
84
418
Radek FaksaDAL · C
21.8
5.4
16.4
70.8
0.1
125.7
62.3
31.8
84
419
Luca Del Bel BelluzCBJ · C30 sample
21.8
5.6
16.2
83.7
2.5
26.4
62.4
17.6
84
420
Tanner JeannotBOS · L
21.8
8.3
13.5
86.8
1.1
273.6
57.8
90.9
84
421
Matt LuffNYI · R
21.7
13.8
7.9
95.6
1.5
116.7
54.5
9.5
84
422
Brad LambertWPG · C31 sample
21.6
9.4
12.2
88.0
3.4
76.1
27.9
22.5
84
423
Elmer SoderblomPIT · L
21.5
11.0
10.5
105.4
0.2
144.2
27.1
28.1
84
424
Berkly CattonSEA · C
21.5
8.8
12.7
99.8
2.6
12.6
38.0
38.4
84
425
Nico SturmMIN · C
21.5
9.1
12.4
81.1
0.2
118.2
40.8
22.9
84
426
Isak RosenWPG · R
21.4
11.9
9.5
82.9
6.0
39.4
43.4
1.8
84
427
Jan JenikLAK · C22 sample
21.4
7.4
14.0
79.8
3.1
111.1
61.6
53.9
84
428
Lenni HameenahoNJD · R33 sample
21.4
5.6
15.8
120.4
0.5
53.9
42.3
35.9
84
429
Yakov TreninMIN · C
21.3
7.7
13.5
100.8
0.2
341.6
38.9
44.8
84
430
Brett LeasonSJS · R
21.2
8.4
12.8
97.6
1.6
90.2
55.5
22.6
84
431
Ivan MiroshnichenkoWSH · L
21.1
9.5
11.6
85.9
2.7
138.7
36.7
12.7
84
432
Mark KastelicBOS · C
21.1
10.9
10.2
97.2
0.7
233.9
61.6
133.6
84
433
Nathan WalkerSTL · L
21.1
9.6
11.5
78.5
0.1
294.6
67.3
61.5
84
434
Kevin StenlundUTA · C
21.0
8.1
12.8
82.2
0.1
56.6
62.2
34.3
84
435
Jordan GreenwayCHI · L
20.9
8.6
12.3
95.0
0.9
167.2
56.5
66.1
84
436
Joshua RoyUTA · R38 sample
20.9
11.7
9.2
103.7
1.0
72.5
54.6
19.9
84
437
Cole KoepkeWPG · L
20.9
10.4
10.5
104.5
0.1
221.2
26.6
19.9
84
438
Anton BlidhNYR · L
20.8
3.9
16.9
86.5
1.7
168.7
24.8
29.2
84
439
Ben MeyersSEA · C
20.8
9.8
10.9
89.1
0.2
102.6
22.7
24.7
84
440
Calle JarnkrokTOR · C
20.7
10.4
10.3
83.2
1.6
65.5
23.0
15.1
84
441
Nikita GrebenkinPHI · R
20.7
6.0
14.7
50.2
0.3
131.8
26.6
66.6
84
442
David TomasekEDM · R22 sample
20.7
11.7
9.0
116.1
7.7
68.1
26.8
38.4
84
443
Arshdeep BainsVAN · L
20.6
7.6
13.0
55.7
2.4
72.6
28.9
28.6
84
444
Maxim TsyplakovCGY · R
20.6
6.7
13.8
96.6
1.6
142.7
27.2
24.3
84
445
William CarrierCAR · L
20.5
8.0
12.5
101.0
0.2
253.3
26.6
26.1
84
446
Rodrigo AbolsPHI · C
20.5
6.6
13.9
89.6
0.3
97.7
48.3
38.1
84
447
Adam BeckmanCOL · L23 sample
20.5
4.7
15.8
102.9
2.7
85.2
37.5
56.8
84
448
Dryden HuntCGY · L
20.4
6.4
14.0
93.6
0.7
200.4
35.6
38.3
84
449
Cole ReinhardtFLA · L
20.4
11.9
8.5
70.9
0.2
181.2
22.5
35.7
84
450
Jesper BoqvistNJD · C
20.4
8.4
12.0
80.6
0.7
166.9
33.5
15.3
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 2026-10-02.

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