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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.

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 shots on goal · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
201
Jamie OleksiakVAN · D
20.2
5.8
14.4
82.9
0.1
116.8
138.2
42.0
84
202
Connor MackeyCHI · D39 sample
15.3
5.9
9.4
82.9
1.6
120.3
70.7
122.4
84
203
Will BorgenBOS · D
17.8
5.0
12.8
82.4
0.1
143.6
110.2
47.4
84
204
Adam BoqvistNYI · D
24.2
5.0
19.2
82.3
8.6
35.0
68.8
20.2
84
205
Dylan DeMeloWPG · D
22.0
3.5
18.5
82.1
0.2
134.9
115.6
41.7
84
206
Declan ChisholmNJD · D
19.2
3.7
15.5
82.0
2.9
39.1
85.0
17.1
84
207
Nick PerbixNSH · D
18.2
4.1
14.0
81.3
0.1
50.7
97.2
23.7
84
208
Caleb JonesPIT · D
16.4
3.1
13.3
81.1
2.0
124.8
119.4
31.1
84
209
Ryan McDonaghTBL · D
32.2
5.9
26.3
81.1
1.1
47.8
149.4
23.2
84
210
Kevin KorchinskiCHI · D
15.3
4.2
11.2
80.8
3.9
27.9
84.3
27.9
84
211
Martin FehérváryWSH · D
26.2
5.6
20.6
80.8
0.1
151.0
166.1
35.3
84
212
Shakir MukhamadullinEDM · D
20.7
7.4
13.3
80.1
1.7
60.0
113.4
32.8
84
213
Tyler TuckerSTL · D
19.0
4.8
14.3
80.1
0.2
142.0
69.0
104.4
84
214
Casey FitzgeraldFLA · D
17.8
3.6
14.1
79.9
2.1
136.9
58.2
53.0
84
215
Jeff PetryMIN · D
17.3
1.8
15.5
79.5
2.7
112.3
108.8
32.5
84
216
Troy StecherTOR · D
14.2
3.6
10.6
79.5
0.1
53.7
95.4
31.5
84
217
Marcus PetterssonNYR · D
23.6
3.4
20.2
79.5
0.1
93.3
148.8
54.4
84
218
Mikey AndersonLAK · D
22.5
4.5
18.0
79.4
0.2
139.1
139.9
26.2
84
219
Nick DeSimoneUTA · D
18.8
4.6
14.2
79.4
0.3
49.5
69.7
16.8
84
220
Luke SchennVAN · D
12.4
1.8
10.6
78.7
0.1
288.9
101.1
71.4
84
221
Carson SoucyCBJ · D
14.8
5.3
9.5
78.7
0.5
128.3
107.7
48.0
84
222
Joshua BrownEDM · D
13.5
4.2
9.4
78.6
0.5
176.6
136.3
100.6
84
223
Cody CeciLAK · D
16.9
2.5
14.3
78.5
0.1
69.3
126.2
17.4
84
224
Erik CernakTBL · D
17.6
3.6
14.0
78.2
0.1
185.6
124.1
75.9
84
225
Scott MayfieldNYI · D
15.7
2.9
12.8
77.8
0.1
96.0
115.4
72.1
84
226
Henry ThrunWPG · D
16.7
3.5
13.2
77.8
2.0
57.4
97.1
33.7
84
227
Johnathan KovacevicNJD · D
18.3
2.2
16.1
77.7
0.2
117.5
99.0
74.3
84
228
Ethan Del MastroCHI · D
12.3
3.4
9.0
76.9
0.5
105.2
85.6
55.1
84
229
Mike BenningCGY · D18 sample
29.1
9.8
19.2
76.3
5.0
27.1
74.1
12.5
84
230
Zach WhitecloudCGY · D
17.7
3.4
14.3
75.9
0.1
140.6
138.1
38.5
84
231
Zach BogosianMIN · D
13.7
3.6
10.1
75.5
0.1
107.1
80.4
47.2
84
232
Brendan SmithCBJ · D
15.6
3.3
12.2
75.3
0.3
117.4
86.0
78.1
84
233
Alexandre CarrierMTL · D
28.1
7.0
21.1
75.2
0.4
65.6
179.1
49.2
84
234
Justin BarronNSH · D
17.8
4.7
13.2
75.1
1.0
83.0
101.0
29.5
84
235
Pierre-Olivier JosephVAN · D
14.6
2.6
12.0
75.0
0.6
65.4
67.3
43.1
84
236
Dmitry KulikovFLA · D
16.0
3.4
12.7
74.9
0.1
149.8
89.6
51.6
84
237
Matt BenningTOR · D
18.2
1.6
16.5
74.7
1.1
106.3
129.4
42.8
84
238
Connor CliftonBOS · D
15.2
3.1
12.1
73.6
0.1
256.8
130.3
71.6
84
239
Kevin BahlCGY · D
19.2
3.7
15.5
72.2
1.0
128.4
111.9
57.4
84
240
Nick JensenANA · D
22.8
4.3
18.4
72.1
0.1
67.8
104.9
20.9
84
241
Declan CarlilePIT · D
10.8
3.1
7.7
72.1
0.3
108.4
72.8
82.7
84
242
Parker WotherspoonVGK · D
24.3
2.5
21.8
71.8
0.1
160.3
116.2
55.3
84
243
Jonas SiegenthalerNJD · D
15.9
1.3
14.6
71.6
0.2
104.9
141.6
51.0
84
244
Jordan HarrisBOS · D
20.2
5.3
15.0
71.4
0.5
56.4
102.9
22.1
84
245
Haydn FleuryWPG · D
12.3
3.0
9.3
70.6
0.2
116.1
120.5
30.6
84
246
Brian DumoulinLAK · D
19.6
3.8
15.8
70.2
0.1
63.4
102.0
20.3
84
247
Joshua MahuraSEA · D
13.8
2.1
11.8
70.0
0.2
106.8
96.7
44.7
84
248
Adam EngstromMTL · D15 sample
9.5
1.7
7.8
70.0
1.0
46.8
47.6
44.3
84
249
Trevor van RiemsdykPIT · D
19.0
2.7
16.3
69.8
0.2
18.1
138.0
26.1
84
250
Urho VaakanainenNYR · D
19.2
1.6
17.6
69.7
0.3
41.0
77.9
31.4
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