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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
251
Olli MaattaMIN · D
24.8
3.7
21.1
69.6
0.1
32.7
124.1
13.4
84
252
Brayden PachalCGY · D
14.4
3.0
11.4
69.5
0.2
186.9
92.0
95.7
84
253
Jack St. IvanyWPG · D
20.8
0.8
20.0
69.4
0.5
184.7
99.9
38.3
84
254
Spencer StastneyEDM · D
13.3
2.8
10.5
69.0
0.2
19.7
83.0
23.6
84
255
Arber XhekajMTL · D
8.7
2.6
6.1
68.8
0.3
230.3
63.1
147.7
84
256
Tom WillanderVAN · D
26.4
5.9
20.5
68.7
3.5
41.4
92.5
36.4
84
257
Kaedan KorczakPIT · D
21.4
2.4
18.9
67.9
0.3
118.1
94.7
20.4
84
258
Isaiah GeorgeNYI · D37 sample
16.5
3.1
13.3
67.9
0.7
39.1
80.8
14.8
84
259
Dakota MermisTOR · D
13.7
6.5
7.2
67.7
0.6
73.2
86.2
65.7
84
260
Drew HellesonANA · D
20.1
3.8
16.3
67.6
0.2
106.1
100.3
39.9
84
261
Ryan SheaEDM · D
30.8
6.8
24.0
67.6
0.5
44.7
94.5
23.6
84
262
Donovan SebrangoFLA · D
16.6
0.6
16.0
67.5
0.4
148.3
62.8
128.8
84
263
Nikolas MatinpaloOTT · D
8.3
0.9
7.4
67.5
0.2
72.5
86.2
31.3
84
264
Ryan JohnsonBUF · D
13.4
1.7
11.7
67.3
1.0
34.9
82.2
40.0
84
265
Ian ColeCHI · D
20.0
2.9
17.1
67.0
0.1
92.1
167.2
61.9
84
266
Matt KierstedMIN · D38 sample
21.1
3.7
17.4
66.6
1.4
43.0
97.5
19.7
84
267
Ilya SolovyovPIT · D
21.3
2.8
18.5
66.5
0.4
109.1
94.3
39.8
84
268
Simon BenoitPHI · D
8.5
1.1
7.4
66.3
0.1
235.7
128.4
56.4
84
269
Dennis CholowskiNYR · D
16.8
3.8
13.0
66.2
2.5
17.2
77.0
16.8
84
270
Ryker EvansSEA · D
25.0
8.0
17.0
66.1
2.9
93.3
101.8
44.0
84
271
Ryan LindgrenSEA · D
16.7
3.1
13.6
65.9
0.1
79.6
132.7
56.4
84
272
Vladislav KolyachonokNJD · D
20.1
6.2
13.9
65.7
0.5
57.5
79.7
25.3
84
273
Jonathan AspirotBOS · D
18.8
4.0
14.9
65.3
1.4
122.4
115.5
54.4
84
274
Tyson HindsANA · D15 sample
9.5
1.7
7.8
65.1
1.0
125.8
82.2
14.7
84
275
John MarinoUTA · D
33.0
4.4
28.6
64.8
0.2
34.1
88.0
19.2
84
276
Albert JohanssonDET · D
12.1
3.5
8.5
64.7
0.1
68.6
99.9
23.4
84
277
Jaycob MegnaVGK · D
9.4
1.6
7.8
63.8
0.6
110.6
118.1
36.1
84
278
Kyle BurroughsDAL · D
9.9
2.1
7.8
63.4
0.8
203.6
104.3
89.6
84
279
Jake ChristiansenCBJ · D
8.9
0.9
8.0
62.9
0.3
66.6
66.8
15.4
84
280
David JiricekPHI · D
9.1
2.0
7.1
62.8
0.4
43.3
67.3
47.8
84
281
Emil LillebergTBL · D
18.4
3.7
14.8
62.4
0.1
158.2
74.6
95.4
84
282
Nick LeddySJS · D
21.4
3.4
18.0
62.2
0.8
34.3
99.2
15.6
84
283
Victor ManciniVAN · D
16.0
2.7
13.3
62.1
1.4
100.1
97.5
26.3
84
284
Derek ForbortVAN · D
15.7
3.6
12.1
61.6
0.3
127.0
129.0
61.0
84
285
Brenden DillonNJD · D
17.4
3.5
14.0
61.1
0.1
209.8
108.6
83.5
84
286
Emil AndraeCBJ · D
18.8
2.6
16.2
61.1
2.5
95.7
84.1
32.3
84
287
Alexander AlexeyevPIT · D
8.3
1.9
6.3
60.8
0.7
99.7
120.9
19.8
84
288
Tobias BjornfotFLA · D
13.4
5.7
7.8
60.6
0.5
71.0
88.3
13.6
84
289
Ryan UfkoNSH · D20 sample
44.5
8.7
35.8
60.4
8.2
48.4
62.1
26.0
84
290
Ty EmbersonEDM · D
14.8
2.3
12.5
60.4
0.3
141.2
113.5
22.3
84
291
Jacob Bernard-DockerDET · D
10.8
2.6
8.1
60.3
0.2
81.0
123.9
33.6
84
292
William LagessonDET · D
13.1
1.6
11.4
59.7
0.9
129.0
99.9
56.4
84
293
Matthew KesselNYI · D
10.8
3.9
6.9
59.1
0.3
68.8
84.0
28.7
84
294
Chris TanevTOR · D
18.9
2.9
16.0
58.8
0.3
39.8
204.6
21.9
84
295
Elias PetterssonVAN · D
11.6
3.6
8.0
58.5
0.2
153.0
97.7
49.0
84
296
Alec RegulaEDM · D
10.3
1.0
9.3
58.4
0.5
49.9
124.2
96.4
84
297
Lian BichselDAL · D
13.6
6.2
7.4
58.3
0.2
264.2
61.2
74.7
84
298
Jack AhcanNSH · D22 sample
14.4
1.9
12.4
58.0
1.3
69.9
74.7
19.2
84
299
Michael CallahanTBL · D22 sample
7.7
4.6
3.1
57.9
1.1
51.3
90.2
24.2
84
300
Riley StillmanEDM · D
12.4
2.8
9.7
57.7
0.9
145.7
73.9
52.4
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