Skip to content

Projections

Every headline stat per skater over the full 2026-27 regular season (Sep 29, 2026 – Apr 10, 2027), ranked by assists. 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.

287 centres · sorted by assists · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
101
Shane PintoOTT · C
47.6
24.0
23.6
173.0
5.5
101.0
65.1
39.8
84
102
Jean-Gabriel PageauNYI · C
40.1
16.5
23.6
108.0
3.4
151.4
62.4
12.8
84
103
Logan StankovenCAR · C
46.6
23.0
23.6
184.9
9.0
73.2
27.3
23.7
84
104
Morgan FrostCGY · C
42.3
18.8
23.5
147.8
14.5
65.8
49.4
26.3
84
105
Ryan PoehlingANA · C
37.3
14.2
23.1
106.0
1.8
53.6
92.2
15.4
84
106
Peyton KrebsBUF · C
33.5
10.7
22.9
86.7
1.3
168.0
36.8
75.7
84
107
Gage GoncalvesTBL · C
34.8
12.0
22.8
87.3
3.0
101.8
31.8
36.6
84
108
Matthew PoitrasBOS · C
31.5
8.7
22.8
100.7
1.3
35.9
35.0
29.6
84
109
Oliver MooreCHI · C
29.9
7.3
22.6
99.9
7.1
44.3
21.4
35.5
84
110
Eetu LuostarinenFLA · C
36.5
13.9
22.6
115.0
2.5
160.9
64.2
36.7
84
111
Ridly GreigOTT · C
35.8
13.8
22.1
134.0
5.0
127.8
55.3
79.7
84
112
Jack RoslovicTOR · C
41.9
20.2
21.7
156.3
6.6
49.8
33.9
16.6
84
113
Michael MisaSJS · C
37.6
16.0
21.6
118.6
7.2
31.6
42.2
18.8
84
114
Justin SourdifWSH · C
37.6
16.4
21.3
116.5
3.3
105.2
43.6
37.2
84
115
Barrett HaytonUTA · C
36.2
15.0
21.2
157.5
9.8
44.6
40.7
58.7
84
116
Sam SteelDAL · C
31.4
10.1
21.2
92.8
1.9
83.7
32.9
31.6
84
117
Shane WrightSEA · C
37.2
16.0
21.2
106.8
9.0
57.7
66.8
14.1
84
118
Denver BarkeyPHI · C
30.4
9.7
20.7
84.3
6.4
96.9
33.0
32.0
84
119
Jake EvansMTL · C
32.6
11.9
20.7
90.0
0.2
117.4
63.3
34.3
84
120
Nicolas RoyCOL · C
34.8
14.2
20.7
107.1
3.9
98.2
48.7
38.7
84
121
Linus KarlssonVAN · C
35.1
14.4
20.6
120.2
4.5
85.7
25.8
43.3
84
122
Calum RitchieNYI · C
36.4
16.0
20.4
106.2
13.0
30.7
44.8
26.6
84
123
Dawson MercerNJD · C
40.6
20.5
20.1
154.5
6.9
40.2
50.8
28.7
84
124
Alexander KerfootNSH · C
32.8
12.7
20.1
96.8
2.9
74.8
67.1
33.8
84
125
Pius SuterSTL · C
39.3
19.3
20.0
132.3
4.5
57.0
36.3
22.3
84
126
Stephen HallidayOTT · C30 sample
31.3
11.4
19.9
97.6
8.4
85.2
25.3
7.8
84
127
Ryan DonatoCHI · C
38.7
18.9
19.8
147.4
5.3
91.4
21.1
48.4
84
128
Hunter McKownMTL · C12 sample
28.0
8.2
19.8
115.2
4.8
95.1
54.4
47.3
84
129
Jonathan ToewsWPG · C
31.9
12.3
19.6
112.1
8.9
19.6
35.3
41.3
84
130
Brendan BrissonNYR · C27 sample
24.8
5.3
19.5
86.7
4.4
71.1
23.1
9.3
84
131
Jordan StaalCAR · C
38.6
19.3
19.3
126.3
3.9
210.6
50.2
33.4
84
132
Teddy BluegerTOR · C
30.9
11.7
19.3
106.4
0.9
116.9
46.3
40.9
84
133
Adam LowryWPG · C
31.2
12.0
19.2
105.2
0.7
188.7
61.0
44.6
84
134
Connor ZaryCGY · C
34.7
15.5
19.2
134.4
8.8
47.1
27.1
24.7
84
135
Matt SavoieEDM · C
35.9
16.7
19.2
140.4
6.5
19.1
39.3
24.6
84
136
Frederick GaudreauSEA · C
32.2
13.1
19.1
105.9
5.0
46.6
63.8
12.0
84
137
Yegor SharangovichCGY · C
37.9
19.0
18.9
154.9
8.6
23.2
36.1
12.3
84
138
Oskar SundqvistSTL · C
27.3
8.5
18.8
71.9
4.8
108.8
50.2
41.2
84
139
Nikita NesterenkoANA · C
26.0
7.3
18.8
95.6
0.4
158.6
26.0
19.5
84
140
Jesperi KotkaniemiCAR · C
28.3
9.5
18.7
112.3
2.6
98.7
34.4
39.3
84
141
Otto StenbergSTL · C32 sample
27.0
8.3
18.7
84.4
0.5
127.1
41.1
14.8
84
142
Ryan GreeneCHI · C
30.5
11.8
18.7
109.5
4.0
50.1
40.2
14.3
84
143
Ross ColtonNSH · C
33.2
14.6
18.6
166.8
3.2
195.9
38.2
33.7
84
144
Noah LabaNYR · C
28.3
9.8
18.4
80.0
5.5
122.3
49.0
42.0
84
145
Mavrik BourqueNSH · C
35.7
17.3
18.4
139.8
4.3
88.8
28.7
23.1
84
146
Vladislav NamestnikovWPG · C
30.3
11.9
18.4
104.3
6.2
105.6
50.8
43.4
84
147
Ben KindelPIT · C
35.5
17.1
18.4
161.3
10.1
42.0
64.9
18.8
84
148
Alex NewhookMTL · C
39.2
21.0
18.1
124.8
5.1
93.5
38.1
32.6
84
149
Ryan WintertonSEA · C
22.4
4.5
17.9
111.1
0.2
93.1
42.5
17.8
84
150
Hendrix LapierrePIT · C
24.6
6.9
17.8
65.3
2.3
58.9
31.0
27.9
84

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