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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.

322 defencemen · sorted by points · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
101
Esa LindellDAL · D
28.0
5.8
22.2
99.4
1.3
51.4
177.6
19.8
84
102
Jacob TroubaSJS · D
27.8
7.0
20.8
160.4
1.1
185.8
182.3
57.1
84
103
Zeev BuiumVAN · D
27.4
6.3
21.1
85.2
13.7
32.0
61.1
44.0
84
104
Artem ZubOTT · D
27.3
4.9
22.4
91.8
0.4
95.0
137.0
54.0
84
105
Kaiden GuhleMTL · D
27.3
5.5
21.8
91.8
0.1
177.3
165.2
97.3
84
106
Jack ThompsonVAN · D34 sample
27.2
10.8
16.5
113.6
7.8
43.5
135.3
27.5
84
107
Jonas BrodinMIN · D
27.0
5.8
21.1
113.7
1.3
30.4
179.4
25.6
84
108
Jake McCabeTOR · D
26.8
4.8
22.0
85.9
0.4
144.9
183.5
62.2
84
109
Rasmus RistolainenPHI · D
26.8
5.3
21.5
123.4
2.5
129.5
124.9
39.0
84
110
Cam YorkPHI · D
26.5
5.7
20.9
103.5
5.2
55.3
164.7
34.0
84
111
Tom WillanderVAN · D
26.4
5.9
20.5
68.7
3.5
41.4
92.5
36.4
84
112
Olen ZellwegerBUF · D
26.3
8.7
17.6
140.8
4.4
40.7
95.8
32.6
84
113
Axel Sandin-PellikkaDET · D
26.3
8.8
17.5
85.4
8.6
23.4
66.8
22.8
84
114
Jaccob SlavinCAR · D
26.2
4.8
21.4
133.3
0.3
34.3
135.7
7.7
84
115
Martin FehérváryWSH · D
26.2
5.6
20.6
80.8
0.1
151.0
166.1
35.3
84
116
Christian WolaninCOL · D25 sample
26.1
7.4
18.6
101.0
6.0
60.3
70.5
29.4
84
117
Adam LarssonSEA · D
25.9
7.0
18.9
116.6
0.1
133.5
160.8
42.2
84
118
Ryker EvansSEA · D
25.0
8.0
17.0
66.1
2.9
93.3
101.8
44.0
84
119
Scott PerunovichLAK · D
25.0
3.3
21.7
53.8
5.0
43.6
83.4
23.0
84
120
Jack RathboneBUF · D20 sample
24.9
9.9
14.9
113.1
4.2
77.9
64.4
28.7
84
121
Olli MaattaMIN · D
24.8
3.7
21.1
69.6
0.1
32.7
124.1
13.4
84
122
Sean WalkerCAR · D
24.5
7.0
17.5
160.2
0.8
146.3
121.0
56.2
84
123
Brayden McNabbVGK · D
24.4
5.1
19.2
97.4
0.1
150.9
183.4
42.7
84
124
Parker WotherspoonVGK · D
24.3
2.5
21.8
71.8
0.1
160.3
116.2
55.3
84
125
Pavel MintyukovANA · D
24.2
7.3
16.9
95.0
3.3
68.3
119.7
23.3
84
126
Adam BoqvistNYI · D
24.2
5.0
19.2
82.3
8.6
35.0
68.8
20.2
84
127
Derrick PouliotCHI · D24 sample
24.1
5.8
18.3
92.3
3.4
90.8
83.2
33.5
84
128
Nate SchmidtUTA · D
24.0
5.4
18.6
89.7
3.2
83.8
91.5
22.9
84
129
Matt RoyWSH · D
23.8
3.4
20.4
109.8
0.3
138.1
159.7
22.4
84
130
Marcus PetterssonNYR · D
23.6
3.4
20.2
79.5
0.1
93.3
148.8
54.4
84
131
Matt GrzelcykBUF · D
23.4
1.2
22.2
89.5
6.4
44.2
83.3
32.4
84
132
Lassi ThomsonOTT · D30 sample
23.3
1.9
21.4
90.5
6.9
55.9
72.7
8.8
84
133
Alex VlasicCHI · D
23.3
2.8
20.5
91.3
3.8
43.2
136.9
20.0
84
134
Louis CrevierBUF · D
23.1
7.1
16.0
111.2
0.2
136.5
111.2
56.5
84
135
Henri JokiharjuBOS · D
23.0
4.1
18.9
90.4
2.0
73.7
83.9
26.4
84
136
Joel NystromCAR · D38 sample
22.9
2.8
20.1
97.0
0.4
26.2
49.6
14.6
84
137
Nikita ZadorovBOS · D
22.9
4.4
18.5
110.6
0.2
215.3
99.8
157.2
84
138
Nick JensenANA · D
22.8
4.3
18.4
72.1
0.1
67.8
104.9
20.9
84
139
Timothy LiljegrenWSH · D
22.7
4.7
18.1
94.8
4.7
89.7
146.1
43.9
84
140
Sam RinzelCHI · D
22.7
5.7
17.0
137.0
3.5
77.4
92.0
58.6
84
141
Ronnie AttardDET · D29 sample
22.6
6.3
16.3
112.7
2.7
133.5
87.6
40.4
84
142
Mikey AndersonLAK · D
22.5
4.5
18.0
79.4
0.2
139.1
139.9
26.2
84
143
Mike ReillyCAR · D
22.4
3.6
18.7
139.4
2.0
47.1
73.2
43.2
84
144
Logan StanleyNYI · D
22.3
6.4
15.9
89.7
0.8
128.3
98.3
139.2
84
145
Adam WilsbyNSH · D
22.2
2.1
20.1
89.9
0.2
45.1
72.2
37.7
84
146
Dylan DeMeloWPG · D
22.0
3.5
18.5
82.1
0.2
134.9
115.6
41.7
84
147
Theo LindsteinSTL · D17 sample
21.7
10.3
11.4
102.5
0.9
46.3
69.2
30.8
84
148
Mario FerraroWPG · D
21.6
6.1
15.5
96.7
0.2
146.1
157.0
40.8
84
149
Nick LeddySJS · D
21.4
3.4
18.0
62.2
0.8
34.3
99.2
15.6
84
150
Joel EdmundsonLAK · D
21.4
3.9
17.6
102.0
1.5
116.9
120.8
32.1
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