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

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.

589 forwards · sorted by hits · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
551
45.9
19.9
26.0
196.8
15.3
29.1
28.8
29.9
84
552
61.6
28.1
33.4
225.3
17.3
28.8
33.4
15.4
84
553
58.4
36.0
22.3
237.7
23.7
28.6
33.6
22.0
84
554
50.8
13.2
37.7
179.9
13.1
28.4
22.0
29.1
84
555
37.7
17.8
19.9
155.3
10.4
28.2
23.4
9.9
84
556
52.4
21.5
30.9
171.9
11.3
28.1
37.8
48.1
84
557
67.8
30.0
37.8
158.5
25.0
27.9
43.8
23.5
84
558
42.9
13.0
29.9
149.9
14.8
27.6
60.7
14.3
84
559
70.7
23.5
47.2
217.8
26.2
27.6
28.7
21.5
84
560
19.0
5.6
13.4
113.2
0.5
27.5
15.9
31.1
84
561
39.2
12.7
26.5
115.8
11.3
27.4
34.7
17.6
84
562
68.7
29.5
39.2
197.2
16.4
27.1
37.1
27.4
84
563
12.7
2.9
9.8
98.7
0.8
27.1
30.8
6.9
84
564
48.1
21.7
26.4
120.1
20.2
26.5
24.4
21.1
84
565
21.8
5.6
16.2
83.7
2.5
26.4
62.4
17.6
84
566
44.2
15.2
28.9
116.9
9.1
26.3
20.1
18.7
84
567
75.0
34.1
40.9
193.6
22.8
25.4
39.8
16.5
84
568
52.9
26.5
26.4
174.4
8.6
25.1
19.4
30.1
84
569
70.8
28.6
42.1
194.9
20.4
24.4
50.4
22.4
84
570
47.8
17.1
30.7
119.8
21.1
24.4
38.8
10.4
84
571
67.4
24.5
42.9
166.1
20.1
24.1
66.4
22.6
84
572
37.9
19.0
18.9
154.9
8.6
23.2
36.1
12.3
84
573
29.8
13.1
16.7
140.7
2.8
22.3
25.7
16.9
84
574
41.2
19.4
21.8
100.1
4.1
21.7
50.9
14.1
84
575
94.2
41.9
52.3
245.7
28.3
21.0
33.5
23.5
84
576
67.5
28.5
39.0
182.3
19.2
20.6
16.5
19.8
84
577
31.9
12.3
19.6
112.1
8.9
19.6
35.3
41.3
84
578
35.9
16.7
19.2
140.4
6.5
19.1
39.3
24.6
84
579
85.7
27.9
57.8
146.1
21.2
19.0
50.0
31.7
84
580
93.7
35.0
58.8
241.6
29.7
18.5
15.8
21.2
84
581
69.8
23.3
46.4
153.9
26.4
17.8
56.1
38.1
84
582
43.0
16.9
26.1
131.4
10.0
15.6
36.7
17.3
84
583
89.1
28.8
60.4
233.2
31.0
15.3
35.0
36.8
84
584
39.0
14.2
24.8
132.1
7.0
14.7
38.6
23.3
84
585
24.0
7.8
16.2
90.6
10.2
14.2
35.1
23.2
84
586
21.5
8.8
12.7
99.8
2.6
12.6
38.0
38.4
84
587
70.1
24.8
45.3
208.2
14.6
11.0
27.2
20.3
84
588
100.6
38.3
62.3
321.9
33.1
10.0
39.5
16.0
84
589
40.1
14.6
25.5
88.9
7.3
9.4
40.4
21.3
84

The × tag compares a skater’s game-to-game swings with chance: under 1.00 steadier, over 1.00 streakier.

How consistency is measured — repeat-measure reliability 0.20, measured 2026-10-03

The tag is a skater’s game-to-game variance in hits divided by the variance a random (Poisson) process at his own rate would show, measured within each season so a change of role between seasons does not count as inconsistency.

Its repeat-measure reliability, 0.20, is how closely the figure from a skater’s odd-numbered games matches the one from his even-numbered games, across skaters. A stat is shown only once that agreement is clearly above what chance produces.

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