Skip to content

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.

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.

287 centres · sorted by assists · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
201
Zakhar BardakovCOL · C
14.8
1.8
13.0
51.7
0.3
71.1
32.0
20.3
84
202
Georgii MerkulovCOL · C11 sample
17.0
4.1
12.9
89.1
2.4
47.5
73.7
23.7
84
203
Kevin StenlundUTA · C
21.0
8.1
12.8
82.2
0.1
56.6
62.2
34.3
84
204
Berkly CattonSEA · C
21.5
8.8
12.7
99.8
2.6
12.6
38.0
38.4
84
205
Jiri KulichBUF · C
31.9
19.3
12.6
164.3
0.3
59.9
56.3
24.8
84
206
Michael EyssimontBOS · C
23.3
10.8
12.5
159.4
3.4
111.8
29.9
64.6
84
207
Nico SturmMIN · C
21.5
9.1
12.4
81.1
0.2
118.2
40.8
22.9
84
208
Aatu RätyVAN · C
20.2
7.9
12.3
84.8
0.7
204.1
21.2
29.6
84
209
Liam FoudyNYI · C
19.1
6.8
12.3
82.9
1.1
72.6
35.6
13.8
84
210
Morgan BarronWPG · C
23.6
11.4
12.3
112.7
0.3
157.1
46.8
30.5
84
211
Brad LambertWPG · C31 sample
21.6
9.4
12.2
88.0
3.4
76.1
27.9
22.5
84
212
Colin BlackwellDAL · C
18.8
6.6
12.2
87.6
0.6
129.2
38.6
34.5
84
213
Cam LundSJS · C11 sample
27.1
15.0
12.0
102.8
7.8
66.8
29.6
33.3
84
214
Colton DachEDM · C
18.3
6.3
12.0
86.2
2.2
293.7
39.4
65.1
84
215
Jesper BoqvistNJD · C
20.4
8.4
12.0
80.6
0.7
166.9
33.5
15.3
84
216
Brendan GaunceBOS · C
18.2
6.4
11.8
96.3
0.4
143.4
58.6
35.4
84
217
Dominic ToninatoCHI · C
15.4
3.8
11.6
69.6
1.0
129.4
33.9
41.1
84
218
Steven LorentzTOR · C
19.4
7.9
11.5
83.2
0.2
185.6
53.4
16.8
84
219
David KampfWSH · C
18.2
6.7
11.5
81.7
0.1
87.9
41.0
21.0
84
220
Michael McCarronMIN · C
20.2
8.8
11.4
111.0
0.1
200.5
76.3
95.0
84
221
Justin KirklandMIN · C
17.1
5.8
11.3
48.5
0.5
139.4
50.3
21.0
84
222
Zachary Aston-ReesePHI · C
17.3
6.0
11.2
87.5
0.2
207.7
56.2
31.9
84
223
Noel AcciariPHI · C
22.2
11.0
11.2
100.9
0.1
151.6
92.2
32.5
84
224
Isac LundeströmCBJ · C
16.8
5.7
11.1
68.1
0.6
49.7
54.2
7.1
84
225
Jared DavidsonMTL · C10 sample
13.4
2.4
11.0
85.2
1.4
143.2
18.5
76.8
84
226
Ben MeyersSEA · C
20.8
9.8
10.9
89.1
0.2
102.6
22.7
24.7
84
227
Gavin BrindleyCOL · C
20.1
9.2
10.9
94.0
0.3
56.9
24.0
12.9
84
228
Nick BjugstadNJD · C
23.0
12.2
10.8
132.1
1.6
145.4
44.3
41.5
84
229
Tyson JostNSH · C
19.9
9.1
10.8
109.9
0.2
83.4
38.2
41.2
84
230
Oskar BäckDAL · C
15.8
5.1
10.7
49.0
0.1
36.1
43.8
11.0
84
231
Conor GeekieTBL · C
20.0
9.3
10.6
79.9
2.1
171.4
39.6
35.0
84
232
Calle JarnkrokTOR · C
20.7
10.4
10.3
83.2
1.6
65.5
23.0
15.1
84
233
Max SassonVAN · C
26.6
16.4
10.3
82.2
1.2
40.3
46.8
30.1
84
234
Casey CizikasNYI · C
19.7
9.5
10.3
91.1
0.5
173.9
63.9
35.2
84
235
Mark KastelicBOS · C
21.1
10.9
10.2
97.2
0.7
233.9
61.6
133.6
84
236
Dylan GambrellMIN · C
16.3
6.4
9.8
78.5
1.2
102.5
60.7
38.1
84
237
Sam CarrickBUF · C
18.6
8.9
9.7
88.0
0.3
138.8
40.0
79.1
84
238
Ozzy WiesblattNSH · C
12.1
2.5
9.6
57.0
0.4
205.7
39.9
73.6
84
239
Cole SchwindtFLA · C
18.6
9.1
9.5
69.8
0.3
99.4
33.7
5.4
84
240
Akil ThomasVAN · C32 sample
17.7
8.2
9.4
79.7
1.0
131.6
43.4
25.7
84
241
David GustafssonPIT · C
15.4
6.1
9.3
71.2
0.4
56.2
44.2
12.3
84
242
Josh SamanskiEDM · C30 sample
17.6
8.5
9.1
36.1
0.5
85.2
39.8
27.9
84
243
Bo GroulxTOR · C
18.7
9.7
9.1
83.6
0.6
195.4
44.0
18.7
84
244
Zemgus GirgensonsTBL · C
16.4
7.6
8.8
93.4
0.3
200.4
51.3
36.3
84
245
Trent FredericEDM · C
18.5
9.7
8.8
102.5
1.1
220.9
36.4
68.7
84
246
John BeecherFLA · C
15.0
6.3
8.7
68.4
0.2
92.9
73.0
47.0
84
247
Luke KuninFLA · C
17.8
9.1
8.7
95.5
1.3
182.9
70.3
69.7
84
248
Tyson KozakBUF · C
13.6
5.0
8.6
58.2
0.9
192.0
70.5
5.2
84
249
Vinni LettieriTOR · C
18.5
10.0
8.5
129.9
1.5
142.9
51.3
30.4
84
250
Joe VelenoNYR · C
14.8
6.3
8.5
77.2
1.1
185.8
46.5
22.7
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