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Projections

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

912 skaters · sorted by points · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
601
Calle JarnkrokTOR · C
20.7
10.4
10.3
83.2
1.6
65.5
23.0
15.1
84
602
Nikita GrebenkinPHI · R
20.7
6.0
14.7
50.2
0.3
131.8
26.6
66.6
84
603
David TomasekEDM · R22 sample
20.7
11.7
9.0
116.1
7.7
68.1
26.8
38.4
84
604
Shakir MukhamadullinEDM · D
20.7
7.4
13.3
80.1
1.7
60.0
113.4
32.8
84
605
Arshdeep BainsVAN · L
20.6
7.6
13.0
55.7
2.4
72.6
28.9
28.6
84
606
Maxim TsyplakovCGY · R
20.6
6.7
13.8
96.5
1.6
142.7
27.2
24.3
84
607
Isak RosenWPG · R
20.5
11.4
9.1
83.0
5.8
37.7
48.8
1.8
84
608
Rodrigo AbolsPHI · C
20.5
6.6
13.9
89.6
0.3
97.7
48.3
38.1
84
609
Adam BeckmanCOL · L23 sample
20.5
4.7
15.8
102.9
2.7
85.2
37.5
56.8
84
610
Dryden HuntCGY · L
20.4
6.4
14.0
93.5
0.7
200.4
35.6
38.3
84
611
Cole ReinhardtFLA · L
20.4
11.9
8.5
70.9
0.2
181.2
22.5
35.7
84
612
Alexander RomanovNYI · D
20.4
4.3
16.0
119.5
0.2
185.2
184.0
29.7
84
613
Jesper BoqvistNJD · C
20.4
8.4
12.0
80.6
0.7
166.9
33.5
15.3
84
614
Brett PesceNJD · D
20.4
3.6
16.7
118.5
0.7
31.5
156.9
27.5
84
615
Scott MorrowNYR · D
20.3
1.7
18.6
86.4
4.5
32.2
82.2
12.2
84
616
Lucas CondottaMTL · L11 sample
20.3
12.7
7.6
89.6
2.6
119.7
44.7
12.8
84
617
Adam KlapkaCGY · R
20.3
8.1
12.2
89.2
1.9
306.4
55.4
114.4
84
618
Brad LambertWPG · C32 sample
20.3
8.8
11.4
82.5
3.2
76.6
26.2
21.1
84
619
Dysin MayoCBJ · D
20.2
4.5
15.8
104.8
1.5
108.4
102.2
27.8
84
620
Jordan HarrisBOS · D
20.2
5.3
15.0
71.4
0.5
56.4
102.9
22.1
84
621
Aatu RätyVAN · C
20.2
7.9
12.3
84.8
0.7
204.1
21.2
29.6
84
622
Jamie OleksiakVAN · D
20.2
5.8
14.4
82.9
0.1
116.8
138.2
42.0
84
623
Michael McCarronMIN · C
20.2
8.8
11.4
111.0
0.1
200.5
76.3
95.0
84
624
Jake MiddletonCGY · D
20.1
4.5
15.6
84.9
0.1
119.3
152.6
69.9
84
625
Drew HellesonANA · D
20.1
3.8
16.3
67.6
0.2
106.1
100.3
39.9
84
626
Vladislav KolyachonokNJD · D
20.1
6.2
13.9
65.7
0.5
57.5
79.7
25.3
84
627
Gavin BrindleyCOL · C
20.1
9.2
10.9
94.0
0.3
56.9
24.0
12.9
84
628
Carl GrundstromPHI · R
20.1
11.6
8.5
118.3
0.4
241.9
35.0
31.6
84
629
Ian ColeCHI · D
20.0
2.9
17.1
67.0
0.1
92.1
167.2
61.9
84
630
Daniil MiromanovCGY · D
20.0
5.9
14.2
111.4
2.7
37.4
104.6
23.5
84
631
Conor GeekieTBL · C
20.0
9.3
10.6
79.9
2.1
171.4
39.6
35.0
84
632
Juuso VälimäkiCAR · D
19.9
3.9
16.0
87.2
4.5
63.4
101.6
31.4
84
633
Michael KesselringSJS · D
19.9
4.4
15.5
126.1
1.5
85.4
78.3
97.2
84
634
Sandis VilmanisFLA · L21 sample
19.9
11.2
8.7
74.5
0.7
183.0
42.5
16.7
84
635
Tyson JostNSH · C
19.9
9.1
10.8
109.9
0.2
83.4
38.2
41.2
84
636
Dylan SambergWPG · D
19.8
3.0
16.8
107.4
0.6
74.7
144.6
27.1
84
637
Maveric LamoureuxUTA · D20 sample
19.8
4.9
14.9
90.8
1.1
130.1
93.5
138.9
84
638
Casey CizikasNYI · C
19.7
9.5
10.3
91.1
0.5
173.9
63.9
35.2
84
639
Theo LindsteinSTL · D18 sample
19.7
9.4
10.3
100.7
0.8
41.9
70.6
27.9
84
640
Brian DumoulinLAK · D
19.6
3.8
15.8
70.2
0.1
63.4
102.0
20.3
84
641
Mitchell ChaffeeNYI · R
19.4
11.6
7.9
80.5
3.2
192.2
34.5
25.1
84
642
Conor TimminsBUF · D
19.4
2.0
17.4
88.8
1.0
68.4
143.5
40.7
84
643
Zachary L'HeureuxCOL · L
19.4
9.9
9.5
107.4
2.5
239.6
42.2
77.5
84
644
Steven LorentzTOR · C
19.4
7.9
11.5
83.2
0.2
185.6
53.4
16.8
84
645
Jeffrey VielTBL · L
19.4
7.0
12.3
111.8
0.3
247.0
35.0
146.5
84
646
Connor MurphyEDM · D
19.3
5.5
13.7
89.0
0.1
123.8
173.6
66.5
84
647
Urho VaakanainenNYR · D
19.2
1.6
17.6
69.7
0.3
41.0
77.9
31.4
84
648
Kevin BahlCGY · D
19.2
3.7
15.5
72.2
1.0
128.4
111.9
57.4
84
649
Jordan OesterleNSH · D
19.2
6.3
12.9
86.4
0.5
67.7
119.5
15.3
84
650
Jacob MacDonaldWSH · D
19.2
10.2
9.0
119.0
6.1
99.7
52.7
44.8
84

No consistency figure for points: it has not passed the check this site requires, which is not a finding that 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 2026-10-03.

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