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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
201
Corey SchuenemanANA · D35 sample
18.7
6.1
12.5
106.1
3.4
58.0
120.5
19.4
84
202
Logan MaillouxSTL · D
18.7
7.3
11.3
103.5
1.4
115.7
71.5
60.0
84
203
Cam DineenPHI · D38 sample
18.6
4.7
13.9
143.0
2.7
59.5
101.4
16.8
84
204
Brett KulakCOL · D
18.5
3.5
15.1
103.8
0.2
41.5
116.2
33.7
84
205
Emil LillebergTBL · D
18.4
3.7
14.8
62.4
0.1
158.2
74.6
95.4
84
206
Radko GudasFLA · D
18.4
2.9
15.5
97.1
0.7
273.5
154.5
100.5
84
207
Johnathan KovacevicNJD · D
18.3
2.2
16.1
77.7
0.2
117.5
99.0
74.3
84
208
Libor HajekSJS · D33 sample
18.3
7.7
10.6
92.1
3.3
83.4
95.7
32.7
84
209
Hunter BrzustewiczCGY · D35 sample
18.2
5.4
12.8
85.5
2.8
62.0
56.7
13.7
84
210
Matt BenningTOR · D
18.2
1.6
16.5
74.7
1.1
106.3
129.4
42.8
84
211
Nick PerbixNSH · D
18.2
4.1
14.0
81.3
0.1
50.7
97.2
23.7
84
212
Wyatt KaiserCHI · D
18.1
5.8
12.3
83.2
0.1
56.1
96.0
33.4
84
213
Will BorgenBOS · D
17.8
5.0
12.8
82.4
0.1
143.6
110.2
47.4
84
214
Tyler KlevenOTT · D
17.8
3.8
14.1
97.0
0.5
141.1
108.2
51.4
84
215
Justin BarronNSH · D
17.8
4.7
13.2
75.1
1.0
83.0
101.0
29.5
84
216
Nicolas HagueNSH · D
17.8
4.3
13.5
90.8
0.2
117.9
92.8
57.9
84
217
Casey FitzgeraldFLA · D
17.8
3.6
14.1
79.9
2.1
136.9
58.2
53.0
84
218
Yan KuznetsovCGY · D
17.7
6.0
11.8
95.6
0.3
117.2
145.2
39.7
84
219
Zach WhitecloudCGY · D
17.7
3.4
14.3
75.9
0.1
140.6
138.1
38.5
84
220
Erik CernakTBL · D
17.6
3.6
14.0
78.2
0.1
185.6
124.1
75.9
84
221
Andrew PeekeUTA · D
17.5
3.9
13.6
87.1
0.1
127.4
151.5
32.8
84
222
Isaak PhillipsWPG · D
17.5
4.8
12.7
87.3
1.0
121.2
71.4
46.2
84
223
Brenden DillonNJD · D
17.4
3.5
14.0
61.1
0.1
209.8
108.6
83.5
84
224
Nikita OkhotiukCGY · D
17.3
4.0
13.4
87.4
1.0
223.6
115.8
67.7
84
225
Jeff PetryMIN · D
17.3
1.8
15.5
79.5
2.7
112.3
108.8
32.5
84
226
Sam DickinsonSJS · D
16.9
1.5
15.4
85.3
0.2
86.8
81.3
26.1
84
227
Egor ZamulaCBJ · D
16.9
3.0
13.8
55.3
2.4
31.6
107.9
16.2
84
228
Cody CeciLAK · D
16.9
2.5
14.3
78.5
0.1
69.3
126.2
17.4
84
229
Niko MikkolaFLA · D
16.9
4.8
12.1
97.8
0.3
156.7
103.1
71.9
84
230
Dennis CholowskiNYR · D
16.8
3.8
13.0
66.2
2.5
17.2
77.0
16.8
84
231
Henry ThrunWPG · D
16.7
3.5
13.2
77.8
2.0
57.4
97.1
33.7
84
232
Ben ChiarotDET · D
16.7
5.2
11.5
111.9
0.5
162.8
161.2
71.2
84
233
Ryan LindgrenSEA · D
16.7
3.1
13.6
65.9
0.1
79.6
132.7
56.4
84
234
Donovan SebrangoFLA · D
16.6
0.6
16.0
67.5
0.4
148.3
62.8
128.8
84
235
Mathew DumbaPIT · D
16.6
4.1
12.5
88.5
1.1
140.4
99.3
82.3
84
236
Isaiah GeorgeNYI · D37 sample
16.5
3.1
13.3
67.9
0.7
39.1
80.8
14.8
84
237
Victor SoderstromBOS · D
16.5
1.9
14.6
87.7
3.1
39.1
105.4
23.6
84
238
Caleb JonesPIT · D
16.4
3.1
13.3
81.1
2.0
124.8
119.4
31.1
84
239
Nolan AllanSJS · D
16.2
2.8
13.4
45.0
0.7
121.8
91.1
29.6
84
240
Dmitry KulikovFLA · D
16.0
3.4
12.7
74.9
0.1
149.8
89.6
51.6
84
241
Victor ManciniVAN · D
16.0
2.7
13.3
62.1
1.4
100.1
97.5
26.3
84
242
Samuel BolducOTT · D
16.0
6.8
9.1
87.5
2.8
107.3
85.7
20.2
84
243
Jonas SiegenthalerNJD · D
15.9
1.3
14.6
71.6
0.2
104.9
141.6
51.0
84
244
Dylan CoghlanVGK · D
15.8
4.8
11.1
104.9
1.4
68.2
89.5
32.1
84
245
Derek ForbortVAN · D
15.7
3.6
12.1
61.6
0.3
127.0
129.0
61.0
84
246
Scott MayfieldNYI · D
15.7
2.9
12.8
77.8
0.1
96.0
115.4
72.1
84
247
Jayden StrubleMTL · D
15.6
2.9
12.7
50.5
0.1
176.3
57.6
80.6
84
248
Brendan SmithCBJ · D
15.6
3.3
12.2
75.3
0.3
117.4
86.0
78.1
84
249
Dennis GilbertBUF · D
15.5
1.6
13.9
36.8
0.4
165.5
106.2
89.3
84
250
Daemon HuntMIN · D
15.4
0.7
14.8
50.8
0.4
63.2
109.3
13.2
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