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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 assists. 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
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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.

146 right wings · sorted by assists · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
101
Tyson FoersterPHI · R
39.4
25.6
13.8
158.7
8.2
99.3
58.9
49.6
84
102
Jonathan LekkerimäkiVAN · R39 sample
29.6
15.8
13.8
87.2
3.2
55.5
26.1
5.3
84
103
Pontus HolmbergTBL · R
24.3
10.8
13.5
98.5
0.5
75.3
47.8
34.3
84
104
Jared WrightLAK · R27 sample
14.2
1.0
13.3
116.4
0.6
105.6
59.8
14.4
84
105
Martin KautSJS · R
23.4
10.3
13.1
106.8
4.0
69.8
30.0
18.0
84
106
Rutger McGroartyPIT · R32 sample
23.6
10.8
12.8
127.9
0.6
96.5
34.0
13.9
84
107
Brett LeasonSJS · R
21.2
8.4
12.8
97.6
1.6
90.2
55.5
22.6
84
108
Scott SabourinTBL · R39 sample
16.0
3.5
12.5
40.2
0.5
201.0
36.2
251.6
84
109
Josh AndersonMTL · R
29.5
17.2
12.3
124.9
0.7
175.3
46.8
102.3
84
110
Adam KlapkaCGY · R
20.3
8.1
12.2
89.2
1.9
306.4
55.4
114.4
84
111
Trey Fix-WolanskyVAN · R26 sample
25.8
13.8
11.9
135.9
2.7
94.4
59.0
19.8
84
112
Jani NymanSEA · R40 sample
25.5
13.6
11.8
110.1
8.6
74.6
26.0
20.9
84
113
Samuel PoulinMTL · R15 sample
15.0
3.3
11.7
62.6
3.1
108.0
44.0
26.5
84
114
Keegan KolesarDET · R
19.2
7.5
11.6
73.2
0.1
280.9
45.6
54.6
84
115
Joakim KemellNSH · R18 sample
17.3
5.9
11.4
84.8
0.9
130.3
49.3
4.3
84
116
Carson MeyerBUF · R
18.0
6.8
11.2
89.7
2.1
173.5
31.4
27.1
84
117
Alexey ToropchenkoSTL · R
18.2
7.2
11.0
96.2
0.1
190.1
63.6
33.4
84
118
Dalibor DvorskySTL · R
24.9
14.0
10.9
110.3
8.2
90.2
29.1
30.6
84
119
Adam GaudetteSJS · R
30.0
20.1
9.9
110.5
5.7
72.3
37.8
22.6
84
120
Jonas RondbjergVGK · R
12.7
2.9
9.8
98.7
0.8
27.1
30.8
6.9
84
121
Patrick GilesSJS · R20 sample
15.0
5.2
9.8
78.9
1.2
99.3
44.4
6.0
84
122
Taylor WardLAK · R38 sample
17.9
8.2
9.7
94.0
1.5
89.2
22.6
16.9
84
123
Isak RosenWPG · R
21.4
11.9
9.5
82.9
6.0
39.4
43.4
1.8
84
124
Joshua RoyUTA · R38 sample
20.9
11.7
9.2
103.7
1.0
72.5
54.6
19.9
84
125
Arttu HyryDAL · R29 sample
18.9
9.8
9.1
96.3
0.6
128.1
32.8
8.8
84
126
David TomasekEDM · R22 sample
20.7
11.7
9.0
116.1
7.7
68.1
26.8
38.4
84
127
MacKenzie EntwistleFLA · R
15.6
6.6
9.0
77.4
0.9
168.4
40.1
43.9
84
128
Cole SmithCHI · R
17.6
8.6
8.9
86.8
0.1
241.4
29.5
65.7
84
129
Carl GrundstromPHI · R
20.1
11.6
8.5
118.3
0.4
241.9
35.0
31.6
84
130
Michael Brandsegg-NygårdDET · R14 sample
10.1
1.8
8.3
121.7
1.0
238.7
24.4
15.6
84
131
Matt LuffNYI · R
21.7
13.8
7.9
95.6
1.5
116.7
54.5
9.5
84
132
Mitchell ChaffeeNYI · R
19.4
11.6
7.9
80.5
3.2
192.2
34.5
25.1
84
133
Walker DuehrWPG · R
15.3
7.5
7.8
71.2
0.6
167.2
41.1
8.2
84
134
Garnet HathawayFLA · R
14.1
6.5
7.6
74.8
0.1
316.0
72.4
88.4
84
135
Jacob MelansonSEA · R38 sample
12.3
4.9
7.4
79.2
0.4
407.5
34.5
76.7
84
136
Brandon DuhaimeTOR · R
14.0
6.6
7.4
79.2
0.1
184.4
60.4
82.8
84
137
Nathan BastianDAL · R
17.0
9.9
7.0
73.4
0.8
202.3
34.0
49.1
84
138
Jaroslav ChmelarNYR · R29 sample
18.1
11.4
6.8
74.0
0.5
150.8
46.3
31.4
84
139
Nikita ChibrikovWPG · R16 sample
14.7
8.8
5.9
87.7
3.9
133.4
47.6
82.5
84
140
Jason PolinBUF · R13 sample
11.2
5.7
5.5
59.3
1.9
167.6
51.8
14.1
84
141
Sam ColangeloANA · R
24.7
19.9
4.8
98.2
3.6
144.4
35.3
19.6
84
142
Hayden HodgsonOTT · R19 sample
6.9
2.5
4.3
54.8
1.2
222.2
14.1
94.3
84
143
Ethan CardwellSJS · R13 sample
16.9
12.9
4.0
81.7
1.4
108.2
29.0
27.8
84
144
Dominik ShineDET · R27 sample
15.1
11.5
3.7
64.0
0.7
83.9
31.4
53.0
84
145
Ryan ReavesSJS · R
8.0
4.5
3.5
44.4
0.2
264.5
25.1
64.3
84
146
Avery HayesPIT · R16 sample
27.6
24.9
2.7
131.5
0.9
118.8
49.7
60.5
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