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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.

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PTS PointsG GoalsA AssistsSOG Shots on goalPPP Power-play pointsHIT HitsBLK Blocked shotsPIM Penalty minutes
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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
501
Brandon DuhaimeTOR · R
14.0
6.6
7.4
79.2
0.1
184.4
60.4
82.8
84
502
Patrick GilesSJS · R20 sample
15.0
5.2
9.8
78.9
1.2
99.3
44.4
6.1
84
503
Landon SlaggertCHI · L
13.3
5.1
8.2
78.6
0.2
109.0
37.4
32.8
84
504
Andre LeeLAK · L27 sample
18.1
7.5
10.6
78.6
0.8
161.7
39.5
42.9
84
505
Nathan WalkerSTL · L
21.1
9.6
11.5
78.5
0.1
294.6
67.3
61.5
84
506
Dylan GambrellMIN · C
16.3
6.4
9.8
78.5
1.2
102.5
60.7
38.1
84
507
MacKenzie EntwistleFLA · R
15.6
6.6
9.0
77.4
0.9
168.4
40.1
43.9
84
508
Beck MalenstynBUF · L
15.0
6.3
8.7
76.9
0.1
263.9
77.5
36.4
84
509
Rasmus KupariWPG · C
12.8
5.8
7.1
76.2
0.6
103.0
41.1
20.8
84
510
Joe VelenoNYR · C
14.6
6.2
8.4
76.2
1.1
183.3
45.9
24.7
84
511
Brennan OthmannCGY · L
12.6
6.0
6.6
76.1
3.1
178.2
34.4
33.3
84
512
Jeff MalottANA · L
13.9
6.0
7.9
75.7
0.2
230.7
42.7
82.4
84
513
Garnet HathawayFLA · R
14.1
6.5
7.6
74.8
0.1
316.0
72.4
88.4
84
514
Jaroslav ChmelarNYR · R30 sample
17.1
10.7
6.4
74.5
0.5
151.8
43.6
29.6
84
515
Sandis VilmanisFLA · L21 sample
19.9
11.2
8.7
74.5
0.7
183.0
42.5
16.7
84
516
Jonah GadjovichFLA · L
13.8
6.2
7.5
74.4
0.3
241.1
37.3
134.0
84
517
Mikael PyyhtiaCBJ · L
14.5
8.0
6.5
74.2
0.8
43.7
68.1
10.1
84
518
Tyler PitlickMIN · C
9.9
5.6
4.3
73.8
0.3
189.7
47.4
44.9
84
519
Riley TufteNJD · L28 sample
18.5
12.3
6.2
73.6
8.9
125.3
29.1
27.8
84
520
Nathan BastianDAL · R
17.0
9.9
7.0
73.4
0.8
202.3
34.0
49.1
84
521
Barclay GoodrowSJS · C
14.3
6.4
7.8
73.2
0.2
152.6
69.0
76.1
84
522
Mackenzie MacEachernVAN · L38 sample
33.5
8.9
24.7
73.0
1.2
110.6
52.0
84.6
84
523
Jansen HarkinsTBL · C
12.8
5.1
7.7
72.8
0.2
190.1
44.1
39.3
84
524
Reid SchaeferNSH · L
14.7
10.4
4.2
72.8
0.3
185.2
55.4
29.6
84
525
Keegan KolesarDET · R
19.0
7.5
11.5
72.4
0.1
281.4
46.0
55.8
84
526
Adam EdstromNSH · C
13.6
7.9
5.7
72.3
0.2
154.8
53.9
21.2
84
527
Juuso ParssinenNYR · C
24.1
10.8
13.3
72.2
3.3
132.2
41.9
33.9
84
528
Oskar SundqvistSTL · C
27.3
8.5
18.8
71.9
4.8
108.8
50.2
41.2
84
529
Josh DunneWSH · C
10.3
2.8
7.5
71.8
0.4
103.6
44.4
88.7
84
530
Sammy BlaisOTT · L
25.6
8.6
17.0
71.7
0.6
294.0
42.5
43.0
84
531
Walker DuehrWPG · R
15.3
7.5
7.8
71.2
0.6
167.2
41.1
8.2
84
532
David GustafssonPIT · C
15.4
6.1
9.3
71.2
0.4
56.2
44.2
12.3
84
533
Radek FaksaDAL · C
21.5
5.3
16.2
71.0
0.1
125.1
63.8
31.4
84
534
Cole ReinhardtFLA · L
20.4
11.9
8.5
70.9
0.2
181.2
22.5
35.7
84
535
Colin WhiteNJD · C
13.3
5.5
7.8
70.8
2.3
75.7
39.6
16.3
84
536
James HamblinANA · L
12.7
6.4
6.3
70.1
1.5
47.4
53.6
9.3
84
537
Cole SchwindtFLA · C
18.6
9.1
9.5
69.8
0.3
99.4
33.7
5.4
84
538
Owen BeckMTL · C28 sample
8.8
4.9
3.9
69.7
0.7
137.9
50.0
25.3
84
539
Dominic ToninatoCHI · C
15.4
3.8
11.6
69.6
1.0
129.4
33.9
41.1
84
540
John BeecherFLA · C
15.0
6.3
8.7
68.4
0.2
92.9
73.0
47.0
84
541
Marat KhusnutdinovBOS · C
27.6
11.6
16.0
68.3
1.3
65.6
46.6
19.6
84
542
Isac LundeströmCBJ · C
16.8
5.7
11.1
68.1
0.6
49.7
54.2
7.1
84
543
Tim WasheANA · C
13.4
3.5
9.9
67.8
0.3
221.2
56.5
28.5
84
544
Tomas NosekFLA · L
16.1
4.4
11.7
66.9
0.7
141.2
42.3
21.5
84
545
Sam LaffertyFLA · C
14.7
7.4
7.3
66.9
0.2
142.0
25.1
38.7
84
546
Juha JaaskaCAR · L18 sample
22.3
2.6
19.7
66.2
1.5
95.2
24.0
41.8
84
547
Ivan IvanBOS · C
16.0
7.7
8.3
65.5
4.6
31.1
19.4
18.9
84
548
Hendrix LapierrePIT · C
24.6
6.9
17.8
65.3
2.3
58.9
31.0
27.9
84
549
Curtis LazarEDM · C
13.9
6.5
7.4
64.6
0.2
191.7
46.1
26.3
84
550
Jake LucchiniNSH · C
12.9
5.5
7.5
64.5
1.8
61.9
29.8
43.6
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