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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
151
Kaedan KorczakPIT · D
21.4
2.4
18.9
67.9
0.3
118.1
94.7
20.4
84
152
Zac JonesUTA · D
21.4
3.5
17.9
98.3
1.6
54.0
78.6
36.6
84
153
Jalen ChatfieldCAR · D
21.4
5.0
16.4
114.8
0.1
62.5
82.3
37.3
84
154
Ilya SolovyovPIT · D
21.3
2.8
18.5
66.5
0.4
109.1
94.3
39.8
84
155
Ben HuttonVGK · D
21.3
7.1
14.2
111.2
0.6
45.6
92.3
29.6
84
156
Matthew RobertsonNYR · D
21.2
7.1
14.1
93.2
0.2
123.7
92.0
43.6
84
157
Adam PelechNYI · D
21.2
3.3
17.9
126.4
0.4
84.0
130.0
47.6
84
158
Max CrozierTBL · D
21.1
2.5
18.6
111.5
0.4
98.2
73.7
83.5
84
159
Zayne ParekhCGY · D39 sample
21.1
9.8
11.3
111.7
12.5
40.4
69.1
20.2
84
160
Matt KierstedMIN · D38 sample
21.1
3.7
17.4
66.6
1.4
43.0
97.5
19.7
84
161
Uvis BalinskisFLA · D
20.9
6.5
14.5
99.7
6.6
106.6
64.3
49.2
84
162
Ethan BearNYI · D
20.9
5.6
15.3
107.4
1.1
64.5
96.9
34.2
84
163
Jack St. IvanyWPG · D
20.8
0.8
20.0
69.4
0.5
184.7
99.9
38.3
84
164
Shakir MukhamadullinEDM · D
20.7
7.4
13.3
80.1
1.7
60.0
113.4
32.8
84
165
Alexander RomanovNYI · D
20.4
4.3
16.0
119.5
0.2
185.2
184.0
29.7
84
166
Brett PesceNJD · D
20.4
3.6
16.7
118.5
0.7
31.5
156.9
27.5
84
167
Scott MorrowNYR · D
20.3
1.7
18.6
86.4
4.5
32.2
82.2
12.2
84
168
Dysin MayoCBJ · D
20.2
4.5
15.8
104.8
1.5
108.4
102.2
27.8
84
169
Jordan HarrisBOS · D
20.2
5.3
15.0
71.4
0.5
56.4
102.9
22.1
84
170
Jamie OleksiakVAN · D
20.2
5.8
14.4
82.9
0.1
116.8
138.2
42.0
84
171
Jake MiddletonCGY · D
20.1
4.5
15.6
84.9
0.1
119.3
152.6
69.9
84
172
Dylan SambergWPG · D
20.1
3.0
17.1
107.8
0.6
75.8
142.9
27.5
84
173
Drew HellesonANA · D
20.1
3.8
16.3
67.6
0.2
106.1
100.3
39.9
84
174
Vladislav KolyachonokNJD · D
20.1
6.2
13.9
65.7
0.5
57.5
79.7
25.3
84
175
Ian ColeCHI · D
20.0
2.9
17.1
67.0
0.1
92.1
167.2
61.9
84
176
Daniil MiromanovCGY · D
20.0
5.9
14.2
111.4
2.7
37.4
104.6
23.5
84
177
Juuso VälimäkiCAR · D
19.9
3.9
16.0
87.2
4.5
63.4
101.6
31.4
84
178
Michael KesselringSJS · D
19.9
4.4
15.5
126.1
1.5
85.4
78.3
97.2
84
179
Maveric LamoureuxUTA · D20 sample
19.8
4.9
14.9
90.8
1.1
130.1
93.5
138.9
84
180
Brian DumoulinLAK · D
19.6
3.8
15.8
70.2
0.1
63.4
102.0
20.3
84
181
Conor TimminsBUF · D
19.4
2.0
17.4
88.8
1.0
68.4
143.5
40.7
84
182
Connor MurphyEDM · D
19.3
5.5
13.7
89.0
0.1
123.8
173.6
66.5
84
183
Urho VaakanainenNYR · D
19.2
1.6
17.6
69.7
0.3
41.0
77.9
31.4
84
184
Kevin BahlCGY · D
19.2
3.7
15.5
72.2
1.0
128.4
111.9
57.4
84
185
Jordan OesterleNSH · D
19.2
6.3
12.9
86.4
0.5
67.7
119.5
15.3
84
186
Jacob MacDonaldWSH · D
19.2
10.2
9.0
119.0
6.1
99.7
52.7
44.8
84
187
Declan ChisholmNJD · D
19.2
3.7
15.5
82.0
2.9
39.1
85.0
17.1
84
188
Tyler MyersDAL · D
19.1
3.2
15.9
104.1
0.4
110.2
146.9
70.6
84
189
Colin MillerWPG · D
19.1
4.6
14.5
103.9
3.5
130.0
69.1
44.5
84
190
Guillaume BriseboisVAN · D21 sample
19.1
6.9
12.2
89.4
2.9
71.4
104.6
25.4
84
191
Nils LundkvistDAL · D
19.1
3.8
15.3
88.7
1.0
49.5
74.3
29.6
84
192
Braden SchneiderNYR · D
19.0
3.8
15.3
101.9
0.1
164.6
141.4
28.1
84
193
Tyler TuckerSTL · D
19.0
4.8
14.3
80.1
0.2
142.0
69.0
104.4
84
194
Marc Del GaizoNYR · D
19.0
4.1
14.9
133.1
0.6
132.4
94.5
36.9
84
195
Trevor van RiemsdykPIT · D
19.0
2.7
16.3
69.8
0.2
18.1
138.0
26.1
84
196
Chris TanevTOR · D
18.9
2.9
16.0
58.8
0.3
39.8
204.6
21.9
84
197
Emil AndraeCBJ · D
18.8
2.6
16.2
61.1
2.5
95.7
84.1
32.3
84
198
Jonathan AspirotBOS · D
18.8
4.0
14.9
65.3
1.4
122.4
115.5
54.4
84
199
Nick DeSimoneUTA · D
18.8
4.6
14.2
79.4
0.3
49.5
69.7
16.8
84
200
Dante FabbroCBJ · D
18.8
6.7
12.1
91.0
0.2
79.5
144.7
41.1
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