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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
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.

322 defencemen · sorted by shots on goal · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
101
Louis CrevierBUF · D
23.1
7.1
16.0
111.2
0.2
136.5
111.2
56.5
84
102
Nikita ZadorovBOS · D
22.9
4.4
18.5
110.6
0.2
215.3
99.8
157.2
84
103
Ryan PulockNYI · D
28.5
4.7
23.9
109.8
2.7
90.0
169.7
17.5
84
104
Matt RoyWSH · D
23.8
3.4
20.4
109.8
0.3
138.1
159.7
22.4
84
105
Jordan SpenceOTT · D
31.4
6.2
25.3
108.5
4.3
75.3
74.9
21.3
84
106
Dylan SambergWPG · D
20.1
3.0
17.1
107.8
0.6
75.8
142.9
27.5
84
107
Ethan BearNYI · D
20.9
5.6
15.3
107.4
1.1
64.5
96.9
34.2
84
108
Corey SchuenemanANA · D35 sample
18.7
6.1
12.5
106.1
3.4
58.0
120.5
19.4
84
109
Mattias SamuelssonBUF · D
35.5
12.0
23.4
105.1
0.4
159.7
152.2
34.6
84
110
Dylan CoghlanVGK · D
15.8
4.8
11.1
104.9
1.4
68.2
89.5
32.1
84
111
Dysin MayoCBJ · D
20.2
4.5
15.8
104.8
1.5
108.4
102.2
27.8
84
112
Cam FowlerSTL · D
39.8
6.9
32.9
104.7
12.4
16.8
92.0
16.4
84
113
Erik GustafssonLAK · D
30.0
4.9
25.2
104.5
11.1
62.4
68.7
33.1
84
114
Tyler MyersDAL · D
19.1
3.2
15.9
104.1
0.4
110.2
146.9
70.6
84
115
Colin MillerWPG · D
19.1
4.6
14.5
103.9
3.5
130.0
69.1
44.5
84
116
Brett KulakCOL · D
18.5
3.5
15.1
103.8
0.2
41.5
116.2
33.7
84
117
Louie BelpedioWSH · D12 sample
32.2
14.1
18.1
103.8
3.3
108.6
103.2
16.3
84
118
Jamie DrysdalePHI · D
30.1
8.7
21.4
103.6
9.9
24.8
112.7
36.4
84
119
Logan MaillouxSTL · D
18.7
7.3
11.3
103.5
1.4
115.7
71.5
60.0
84
120
Cam YorkPHI · D
26.5
5.7
20.9
103.5
5.2
55.3
164.7
34.0
84
121
Calle RosenSTL · D
28.6
10.9
17.7
102.9
1.5
41.5
85.1
21.1
84
122
Artyom LevshunovCHI · D
28.3
2.4
25.9
102.9
12.3
115.3
89.7
53.6
84
123
Theo LindsteinSTL · D17 sample
21.7
10.3
11.4
102.5
0.9
46.3
69.2
30.8
84
124
Nick BlankenburgCOL · D
28.6
9.6
19.0
102.1
8.5
80.1
86.6
22.4
84
125
Joel EdmundsonLAK · D
21.4
3.9
17.6
102.0
1.5
116.9
120.8
32.1
84
126
Braden SchneiderNYR · D
19.0
3.8
15.3
101.9
0.1
164.6
141.4
28.1
84
127
Philip BrobergSTL · D
33.0
7.2
25.8
101.8
4.0
42.0
105.3
17.0
84
128
Christian WolaninCOL · D25 sample
26.1
7.4
18.6
101.0
6.0
60.3
70.5
29.4
84
129
J.J. MoserTBL · D
28.2
6.5
21.8
100.3
2.2
72.0
109.2
57.9
84
130
Uvis BalinskisFLA · D
20.9
6.5
14.5
99.7
6.6
106.6
64.3
49.2
84
131
Esa LindellDAL · D
28.0
5.8
22.2
99.4
1.3
51.4
177.6
19.8
84
132
Elias SalomonssonWPG · D32 sample
14.6
3.3
11.3
99.3
3.0
129.6
70.8
32.0
84
133
Zac JonesUTA · D
21.4
3.5
17.9
98.3
1.6
54.0
78.6
36.6
84
134
Philippe MyersTOR · D
8.0
2.0
6.0
98.3
0.3
138.6
102.1
42.8
84
135
Simon EdvinssonDET · D
30.0
9.5
20.5
98.2
0.8
104.8
162.8
79.6
84
136
Niko MikkolaFLA · D
16.9
4.8
12.1
97.8
0.3
156.7
103.1
71.9
84
137
Travis HamonicDET · D
11.5
2.4
9.1
97.6
0.3
105.7
135.0
61.0
84
138
Brayden McNabbVGK · D
24.4
5.1
19.2
97.4
0.1
150.9
183.4
42.7
84
139
Radko GudasFLA · D
18.4
2.9
15.5
97.1
0.7
273.5
154.5
100.5
84
140
Tyler KlevenOTT · D
17.8
3.8
14.1
97.0
0.5
141.1
108.2
51.4
84
141
Joel NystromCAR · D38 sample
22.9
2.8
20.1
97.0
0.4
26.2
49.6
14.6
84
142
Denton MateychukCBJ · D
33.5
12.7
20.8
97.0
2.6
34.3
103.6
15.7
84
143
Mario FerraroWPG · D
21.6
6.1
15.5
96.7
0.2
146.1
157.0
40.8
84
144
Seamus CaseyNJD · D17 sample
35.9
17.1
18.8
96.2
12.4
58.2
52.2
7.1
84
145
Charle-Edouard D'AstousTBL · D
33.7
6.9
26.8
96.2
3.5
119.4
89.1
125.4
84
146
Yan KuznetsovCGY · D
17.7
6.0
11.8
95.6
0.3
117.2
145.2
39.7
84
147
Rasmus SandinWSH · D
31.6
5.2
26.4
95.5
3.6
101.5
135.2
20.2
84
148
Pavel MintyukovANA · D
24.2
7.3
16.9
95.0
3.3
68.3
119.7
23.3
84
149
Brandon CarloSTL · D
12.9
2.0
10.9
94.8
0.1
110.3
152.3
47.1
84
150
Timothy LiljegrenWSH · D
22.7
4.7
18.1
94.8
4.7
89.7
146.1
43.9
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