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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 goals. Each total assumes the skater plays every one of his team’s games.

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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.

287 centres · sorted by goals · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
101
Matt SavoieEDM · C
35.9
16.7
19.2
140.4
6.5
19.1
39.3
24.6
84
102
Cody GlassNJD · C
29.7
16.7
13.1
129.8
3.0
61.3
46.1
36.8
84
103
Jean-Gabriel PageauNYI · C
40.1
16.5
23.6
108.0
3.4
151.4
62.4
12.8
84
104
Kirby DachMTL · C
34.0
16.4
17.6
112.3
6.7
130.1
53.5
66.8
84
105
Justin SourdifWSH · C
37.6
16.4
21.3
116.5
3.3
105.2
43.6
37.2
84
106
Max SassonVAN · C
26.6
16.4
10.3
82.2
1.2
40.3
46.8
30.1
84
107
Casey MittelstadtBOS · C
48.1
16.2
31.9
112.0
9.8
35.1
27.9
19.5
84
108
Filip HallanderPIT · C17 sample
53.0
16.2
36.8
151.3
1.0
36.8
34.0
14.4
84
109
Alex SteevesBOS · C
29.4
16.1
13.3
107.1
5.2
269.9
47.8
57.3
84
110
Calum RitchieNYI · C
36.4
16.0
20.4
106.2
13.0
30.7
44.8
26.6
84
111
Shane WrightSEA · C
37.2
16.0
21.2
106.8
9.0
57.7
66.8
14.1
84
112
Michael MisaSJS · C
37.6
16.0
21.6
118.6
7.2
31.6
42.2
18.8
84
113
Parker KellyCOL · C
29.1
15.6
13.6
103.3
0.1
192.7
62.0
38.3
84
114
Anton FrondellCHI · C14 sample
46.3
15.6
30.7
220.2
10.3
76.8
77.7
23.2
84
115
Robby FabbriMIN · C
31.4
15.6
15.8
124.2
5.7
129.3
43.2
48.6
84
116
Connor ZaryCGY · C
34.7
15.5
19.2
134.4
8.8
47.1
27.1
24.7
84
117
Christian DvorakPHI · C
43.0
15.1
27.9
136.1
3.8
52.3
64.3
28.2
84
118
Dakota JoshuaTOR · C
28.4
15.1
13.3
83.2
1.1
293.3
46.4
68.6
84
119
Dominic JamesTBL · C
30.6
15.1
15.5
115.0
1.9
113.8
28.5
14.5
84
120
Cam LundSJS · C11 sample
27.1
15.0
12.0
102.8
7.8
66.8
29.6
33.3
84
121
Barrett HaytonUTA · C
36.2
15.0
21.2
157.5
9.8
44.6
40.7
58.7
84
122
Ryan McLeodBUF · C
48.2
14.9
33.3
99.0
5.6
29.6
34.9
17.6
84
123
Alexander WennbergSJS · C
46.0
14.7
31.2
97.3
12.0
37.5
89.9
18.0
84
124
Cole GuttmanLAK · C
29.3
14.7
14.6
151.4
7.6
45.7
49.1
23.8
84
125
Ross ColtonNSH · C
33.2
14.6
18.6
166.8
3.2
195.9
38.2
33.7
84
126
Noah OstlundBUF · C
40.1
14.6
25.5
88.9
7.3
9.4
40.4
21.3
84
127
Linus KarlssonVAN · C
35.1
14.4
20.6
120.2
4.5
85.7
25.8
43.3
84
128
Scott LaughtonLAK · C
29.9
14.3
15.6
138.2
2.5
173.9
57.8
42.7
84
129
Evan RodriguesNJD · C
39.3
14.3
25.0
183.6
8.9
105.3
30.4
39.4
84
130
Kent JohnsonCBJ · C
39.0
14.2
24.8
132.1
7.0
14.7
38.6
23.3
84
131
Nicolas RoyCOL · C
34.8
14.2
20.7
107.1
3.9
98.2
48.7
38.7
84
132
Ryan PoehlingANA · C
37.3
14.2
23.1
106.0
1.8
53.6
92.2
15.4
84
133
Eetu LuostarinenFLA · C
36.5
13.9
22.6
115.0
2.5
160.9
64.2
36.7
84
134
Philipp KurashevSJS · C
37.7
13.8
23.9
118.4
6.8
58.3
34.3
26.5
84
135
Ridly GreigOTT · C
35.8
13.8
22.1
134.0
5.0
127.8
55.3
79.7
84
136
Ryan StromeCGY · C
40.3
13.5
26.8
125.7
6.6
47.5
29.5
67.9
84
137
Emmitt FinnieDET · C
30.9
13.3
17.6
123.2
8.2
133.5
42.6
7.0
84
138
Justin HryckowianDAL · C
29.8
13.2
16.6
85.1
4.8
135.4
47.4
40.4
84
139
Frederick GaudreauSEA · C
32.2
13.1
19.1
105.9
5.0
46.6
63.8
12.0
84
140
Sean CouturierPHI · C
41.5
13.1
28.4
152.2
2.8
100.3
44.5
39.1
84
141
Dillon DubeSTL · C
30.3
13.1
17.2
125.7
3.3
104.9
29.3
29.9
84
142
Marco KasperDET · C
26.5
13.0
13.5
142.8
2.9
184.3
52.9
35.2
84
143
Connor DewarPIT · C
26.4
12.7
13.6
107.0
0.1
169.3
51.2
27.7
84
144
Alexander KerfootNSH · C
32.8
12.7
20.1
96.8
2.9
74.8
67.1
33.8
84
145
Jason DickinsonEDM · C
26.5
12.4
14.0
100.0
0.5
126.1
71.1
34.8
84
146
Jonathan ToewsWPG · C
31.9
12.3
19.6
112.1
8.9
19.6
35.3
41.3
84
147
Max DomiTOR · C
41.3
12.3
29.0
127.3
7.8
43.1
32.7
102.8
84
148
Nick BjugstadNJD · C
23.0
12.2
10.8
132.1
1.6
145.4
44.3
41.5
84
149
Nick AbruzzeseTBL · C11 sample
36.7
12.1
24.6
117.2
9.6
90.3
54.7
32.8
84
150
Adam HenriqueEDM · C
29.6
12.0
17.6
123.3
5.7
73.2
89.2
22.9
84

No consistency figure for goals: it has not passed the check this site requires, which is not a finding that goals 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