Skip to content

Projections

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

156 left wings · sorted by power-play points · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
101
James HamblinANA · L
12.7
6.4
6.3
70.1
1.5
47.4
53.6
9.3
84
102
Juha JaaskaCAR · L18 sample
22.3
2.6
19.7
66.3
1.5
95.2
24.0
41.8
84
103
Noah GregorWPG · L
18.2
8.7
9.4
115.2
1.5
131.4
39.3
46.2
84
104
Mark JankowskiCAR · L
24.9
12.7
12.3
81.6
1.4
55.0
53.0
32.4
84
105
Danton HeinenCBJ · L
28.4
11.8
16.5
99.2
1.4
92.0
46.2
28.8
84
106
Jakob PelletierTBL · L
26.8
9.9
16.9
94.4
1.3
85.3
37.0
15.0
84
107
Adam SykoraNYR · L11 sample
31.8
21.6
10.2
117.4
1.3
145.1
75.2
38.6
84
108
Mackenzie MacEachernVAN · L38 sample
33.5
8.9
24.7
73.0
1.2
110.6
52.0
84.6
84
109
Paul CotterVAN · L
24.1
14.7
9.4
84.8
1.2
231.4
27.7
35.3
84
110
Taylor MakarCOL · L12 sample
5.5
2.0
3.5
61.0
1.2
116.8
15.9
29.8
84
111
Tanner JeannotBOS · L
21.8
8.3
13.5
86.8
1.1
273.6
57.8
90.9
84
112
Aliaksei ProtasWSH · L
54.8
24.3
30.5
156.6
1.0
35.6
44.2
18.9
84
113
Bokondji ImamaFLA · L35 sample
6.8
4.1
2.6
48.5
0.9
236.4
25.8
172.2
84
114
Brian HalonenBOS · L19 sample
13.2
6.1
7.2
53.0
0.9
145.1
18.8
45.3
84
115
Jordan GreenwayCHI · L
20.9
8.6
12.3
95.0
0.9
167.2
56.5
66.1
84
116
Nolan FootePHI · L36 sample
13.0
8.1
4.9
90.9
0.8
157.2
30.2
29.7
84
117
A.J. GreerANA · L
26.4
13.1
13.3
99.6
0.8
211.8
33.0
118.2
84
118
Andre LeeLAK · L27 sample
18.1
7.5
10.6
78.6
0.8
161.7
39.5
42.9
84
119
Mikael PyyhtiaCBJ · L
14.5
8.0
6.5
74.2
0.8
43.7
68.1
10.1
84
120
Joona KoppanenPIT · L33 sample
9.6
3.2
6.5
62.4
0.8
133.7
30.0
13.2
84
121
Tanner PearsonBUF · L
25.0
10.9
14.2
100.4
0.7
107.8
44.5
29.1
84
122
Tomas NosekFLA · L
16.1
4.4
11.7
66.9
0.7
141.2
42.3
21.5
84
123
Dryden HuntCGY · L
20.4
6.4
14.0
93.6
0.7
200.4
35.6
38.3
84
124
Nils HoglanderNSH · L
23.6
10.6
12.9
96.4
0.7
98.5
22.0
30.8
84
125
Samuel HonzekCGY · L24 sample
16.9
8.0
8.8
110.3
0.7
166.2
36.5
13.6
84
126
Liam OhgrenVAN · L
24.7
9.2
15.6
107.1
0.7
82.0
52.2
3.8
84
127
Sandis VilmanisFLA · L21 sample
19.9
11.2
8.7
74.5
0.7
183.0
42.5
16.7
84
128
Drew O'ConnorVAN · L
29.1
14.5
14.6
135.9
0.6
80.7
42.2
38.4
84
129
Max JonesEDM · L
17.7
8.5
9.3
98.2
0.6
208.9
19.6
56.8
84
130
Sammy BlaisOTT · L
25.6
8.6
17.0
71.7
0.6
294.0
42.5
43.0
84
131
Alex BumpPHI · L25 sample
34.5
21.3
13.3
110.6
0.6
108.5
36.6
8.6
84
132
Michael PezzettaTOR · L
10.9
3.8
7.1
58.2
0.6
285.1
32.7
130.5
84
133
Brett BerardMTL · L
15.3
8.6
6.7
110.3
0.5
118.8
53.4
28.4
84
134
Isaac HowardEDM · L31 sample
19.0
5.6
13.4
113.2
0.5
27.5
15.9
31.1
84
135
Miles WoodCBJ · L
23.4
11.9
11.4
137.2
0.5
111.0
32.3
66.3
84
136
Reid SchaeferNSH · L
14.7
10.4
4.2
72.8
0.3
185.2
55.4
29.6
84
137
Kurtis MacDermidOTT · L
5.9
1.7
4.2
31.9
0.3
124.8
31.2
121.0
84
138
Jonah GadjovichFLA · L
13.8
6.2
7.5
74.4
0.3
241.1
37.3
134.0
84
139
Ryan LombergCBJ · L
13.4
5.7
7.7
81.8
0.3
170.8
23.4
79.9
84
140
Adam ErneDAL · L
16.2
10.1
6.2
82.1
0.3
244.2
41.0
34.0
84
141
Jeffrey VielTBL · L
19.4
7.0
12.3
111.8
0.3
247.0
35.0
146.5
84
142
Cole ReinhardtFLA · L
20.4
11.9
8.5
70.9
0.2
181.2
22.5
35.7
84
143
Jeff MalottANA · L
12.0
3.8
8.1
75.5
0.2
225.5
41.5
84.6
84
144
Landon SlaggertCHI · L
13.3
5.1
8.2
78.6
0.2
109.0
37.4
32.8
84
145
Nicolas DeslauriersCAR · L
7.9
2.9
5.0
63.0
0.2
285.7
27.5
109.5
84
146
Elmer SoderblomPIT · L
21.5
11.0
10.5
105.4
0.2
144.2
27.1
28.1
84
147
Brandon TanevUTA · L
14.8
5.8
8.9
84.7
0.2
216.4
75.8
54.8
84
148
William CarrierCAR · L
20.5
8.0
12.5
101.0
0.2
253.3
26.6
26.1
84
149
Ross JohnstonSTL · L
14.0
3.2
10.8
42.5
0.1
244.2
28.6
139.1
84
150
Nathan WalkerSTL · L
21.1
9.6
11.5
78.5
0.1
294.6
67.3
61.5
84

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