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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
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.

589 forwards · sorted by assists · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
301
Konsta HeleniusBUF · C14 sample
44.1
26.4
17.7
159.0
1.0
106.0
42.7
4.8
84
302
Nino NiederreiterWPG · R
33.8
16.1
17.7
145.2
7.8
132.6
34.4
29.3
84
303
Kirby DachMTL · C
34.0
16.4
17.6
112.3
6.7
130.1
53.5
66.8
84
304
Emmitt FinnieDET · C
30.9
13.3
17.6
123.2
8.2
133.5
42.6
7.0
84
305
Adam HenriqueEDM · C
29.6
12.0
17.6
123.3
5.7
73.2
89.2
22.9
84
306
Fraser MintenBOS · C
34.4
16.9
17.5
117.6
3.0
152.1
50.2
18.2
84
307
Filip ChytilVAN · C
36.1
18.6
17.5
185.8
4.7
35.9
29.5
30.5
84
308
Martin PospisilCGY · C
22.9
5.5
17.4
114.8
2.2
310.9
26.7
93.2
84
309
Corey PerryLAK · R
36.5
19.2
17.3
122.0
12.0
51.1
24.8
77.7
84
310
Alex TurcotteLAK · C
23.6
6.3
17.3
90.0
0.5
69.9
43.6
29.6
84
311
Alex IafalloWPG · L
31.3
14.0
17.3
124.9
6.9
98.8
61.9
16.9
84
312
Dillon DubeSTL · C
30.3
13.1
17.2
125.7
3.3
104.9
29.3
29.9
84
313
Kailer YamamotoUTA · R
33.6
16.5
17.2
90.8
2.6
86.8
28.9
25.3
84
314
Kevin HayesPIT · R
32.2
15.0
17.2
150.0
6.4
70.6
22.0
18.1
84
315
Sammy BlaisOTT · L
25.6
8.6
17.0
71.7
0.6
294.0
42.5
43.0
84
316
Frank VatranoANA · R
36.1
19.1
17.0
201.3
6.7
148.3
62.6
73.5
84
317
Bobby McMannSEA · C
42.7
25.7
17.0
189.4
5.6
175.1
27.8
46.4
84
318
Brendan GallagherVAN · R
29.9
13.0
16.9
142.8
5.8
101.1
29.6
49.2
84
319
Nick PaulTOR · L
34.3
17.3
16.9
134.2
5.4
119.7
41.9
45.1
84
320
Anton BlidhNYR · L
20.8
3.9
16.9
86.5
1.7
168.7
24.8
29.2
84
321
Jakob PelletierTBL · L
26.8
9.9
16.9
94.4
1.3
85.3
37.0
15.0
84
322
Stefan NoesenNJD · R
32.1
15.3
16.8
136.2
11.5
123.6
28.6
60.3
84
323
Jack McBainUTA · C
27.7
10.9
16.8
101.4
0.9
292.5
48.9
83.6
84
324
Brandon SaadVGK · L
29.8
13.1
16.7
140.7
2.8
22.3
25.7
16.9
84
325
Evgenii DadonovNJD · L
30.8
14.2
16.6
113.6
4.7
51.1
41.6
11.8
84
326
Justin HryckowianDAL · C
29.8
13.2
16.6
85.1
4.8
135.4
47.4
40.4
84
327
Fabian LysellCOL · R12 sample
25.4
8.8
16.5
143.6
7.3
52.1
27.8
41.7
84
328
Danton HeinenCBJ · L
28.4
11.8
16.5
99.2
1.4
92.0
46.2
28.8
84
329
Blake LizottePIT · C
27.7
11.2
16.5
85.5
0.5
85.3
46.3
38.6
84
330
Radek FaksaDAL · C
21.8
5.4
16.4
70.8
0.1
125.7
62.3
31.8
84
331
Conor ShearyBUF · L
26.3
10.0
16.3
110.7
3.1
35.6
47.9
20.7
84
332
Marat KhusnutdinovBOS · C
28.1
11.8
16.2
69.4
1.3
66.7
47.3
19.9
84
333
Ville KoivunenPIT · R
24.0
7.8
16.2
90.6
10.2
14.2
35.1
23.2
84
334
Luca Del Bel BelluzCBJ · C30 sample
21.8
5.6
16.2
83.7
2.5
26.4
62.4
17.6
84
335
Jack DruryNSH · C
26.5
10.3
16.1
106.5
1.6
52.5
53.1
32.8
84
336
Justin DanforthBUF · R
27.9
11.9
15.9
115.4
1.1
148.1
62.7
28.5
84
337
Michael CarconeUTA · L
34.1
18.2
15.9
143.8
3.5
139.4
19.2
32.5
84
338
Lukas ReichelBOS · L
25.0
9.2
15.9
87.4
2.0
30.1
39.1
16.2
84
339
Robby FabbriMIN · C
31.4
15.6
15.8
124.2
5.7
129.3
43.2
48.6
84
340
Lenni HameenahoNJD · R33 sample
21.4
5.6
15.8
120.4
0.5
53.9
42.3
35.9
84
341
Adam BeckmanCOL · L23 sample
20.5
4.7
15.8
102.9
2.7
85.2
37.5
56.8
84
342
James MalatestaCBJ · L13 sample
28.0
12.3
15.7
90.2
2.9
229.5
38.6
32.5
84
343
Mason AppletonDET · C
25.2
9.5
15.7
105.0
1.4
109.8
37.6
44.1
84
344
Andrew MangiapaneCHI · L
29.3
13.7
15.7
105.1
2.4
87.6
35.4
49.2
84
345
Nate DanielsonDET · C28 sample
22.2
6.5
15.6
95.7
8.9
29.3
29.8
13.9
84
346
Scott LaughtonLAK · C
29.9
14.3
15.6
138.2
2.5
173.9
57.8
42.7
84
347
Arthur KaliyevOTT · R
29.6
14.0
15.6
164.5
9.8
50.1
19.2
21.7
84
348
Liam OhgrenVAN · L
24.7
9.2
15.6
107.1
0.7
82.0
52.2
3.8
84
349
Ethen FrankWSH · R
31.4
15.8
15.6
116.8
5.2
67.4
60.4
24.3
84
350
Dominic JamesTBL · C
30.6
15.1
15.5
115.0
1.9
113.8
28.5
14.5
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