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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 blocked shots. 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.

287 centres · sorted by blocked shots · assumes no games missed

#
Skater
PTS
G
A
HIT
BLK
PIM
101
Jordan StaalCAR · C
38.6
19.3
19.3
126.3
3.9
210.6
50.2
33.4
84
102
Tomas HertlVGK · C
59.4
26.1
33.4
198.0
24.9
127.2
50.1
32.2
84
103
Owen BeckMTL · C28 sample
8.8
4.9
3.9
69.7
0.7
137.9
50.0
25.3
84
104
Pierre-Luc DuboisWSH · C
56.8
18.5
38.3
149.4
14.3
86.9
50.0
76.7
84
105
Cole SillingerCBJ · C
35.6
11.4
24.2
150.9
1.9
113.2
50.0
44.8
84
106
Wyatt JohnstonDAL · C
75.3
38.6
36.7
209.3
30.9
61.6
49.5
27.4
84
107
Sean KuralyBOS · C
21.9
7.7
14.2
107.3
0.2
133.3
49.5
44.7
84
108
Morgan FrostCGY · C
42.3
18.8
23.5
147.8
14.5
65.8
49.4
26.3
84
109
Cole GuttmanLAK · C
29.3
14.7
14.6
151.4
7.6
45.7
49.1
23.8
84
110
Noah LabaNYR · C
28.3
9.8
18.4
80.0
5.5
122.3
49.0
42.0
84
111
Jack McBainUTA · C
27.7
10.9
16.8
101.4
0.9
292.5
48.9
83.6
84
112
Nicolas RoyCOL · C
34.8
14.2
20.7
107.1
3.9
98.2
48.7
38.7
84
113
Rodrigo AbolsPHI · C
20.5
6.6
13.9
89.6
0.3
97.7
48.3
38.1
84
114
Jacob QuillanTOR · C24 sample
12.9
4.4
8.5
56.6
0.7
161.3
48.2
9.8
84
115
Alex SteevesBOS · C
29.4
16.1
13.3
107.1
5.2
269.9
47.8
57.3
84
116
Nathan MacKinnonCOL · C
127.5
50.0
77.6
369.9
37.2
64.0
47.8
45.4
84
117
Brayden SchennNYI · C
46.2
19.2
27.0
138.5
9.7
187.3
47.5
72.6
84
118
Justin HryckowianDAL · C
29.8
13.2
16.6
85.1
4.8
135.4
47.4
40.4
84
119
Tyler PitlickMIN · C
9.9
5.6
4.3
73.8
0.3
189.7
47.4
44.9
84
120
Marat KhusnutdinovBOS · C
28.1
11.8
16.2
69.4
1.3
66.7
47.3
19.9
84
121
Morgan BarronWPG · C
23.6
11.4
12.3
112.7
0.3
157.1
46.8
30.5
84
122
Max SassonVAN · C
26.6
16.4
10.3
82.2
1.2
40.3
46.8
30.1
84
123
Joe VelenoNYR · C
14.8
6.3
8.5
77.2
1.1
185.8
46.5
22.7
84
124
Dakota JoshuaTOR · C
28.4
15.1
13.3
83.2
1.1
293.3
46.4
68.6
84
125
Tim StützleOTT · C
81.9
29.9
52.0
195.7
29.5
136.5
46.4
41.1
84
126
Teddy BluegerTOR · C
30.9
11.7
19.3
106.4
0.9
116.9
46.3
40.9
84
127
Blake LizottePIT · C
27.7
11.2
16.5
85.5
0.5
85.3
46.3
38.6
84
128
Mats ZuccarelloLAK · C
72.9
20.8
52.1
178.8
28.6
36.8
46.3
27.9
84
129
Cody GlassNJD · C
29.7
16.7
13.1
129.8
3.0
61.3
46.1
36.8
84
130
Curtis LazarEDM · C
13.9
6.5
7.4
64.6
0.2
191.7
46.1
26.3
84
131
Lane PedersonLAK · C
12.3
4.9
7.4
55.5
1.4
209.1
45.8
33.4
84
132
Bo HorvatNYI · C
66.8
34.2
32.6
263.5
15.9
76.9
45.5
35.8
84
133
Calum RitchieNYI · C
36.4
16.0
20.4
106.2
13.0
30.7
44.8
26.6
84
134
Sean CouturierPHI · C
41.5
13.1
28.4
152.2
2.8
100.3
44.5
39.1
84
135
Josh DunneWSH · C
10.3
2.8
7.5
71.8
0.4
103.6
44.4
88.7
84
136
Ryan Nugent-HopkinsEDM · C
66.6
23.0
43.5
167.1
30.4
47.7
44.4
27.6
84
137
Nick BjugstadNJD · C
23.0
12.2
10.8
132.1
1.6
145.4
44.3
41.5
84
138
Gabriel VilardiWPG · C
67.6
30.4
37.2
159.5
24.1
28.2
44.3
23.8
84
139
David GustafssonPIT · C
15.4
6.1
9.3
71.2
0.4
56.2
44.2
12.3
84
140
Jansen HarkinsTBL · C
12.8
5.1
7.7
72.8
0.2
188.4
44.1
39.3
84
141
Bo GroulxTOR · C
18.7
9.7
9.1
83.6
0.6
195.4
44.0
18.7
84
142
Oskar BäckDAL · C
15.8
5.1
10.7
49.0
0.1
36.1
43.8
11.0
84
143
Marco RossiVAN · C
58.4
25.0
33.4
133.4
17.9
66.6
43.8
30.0
84
144
Jake GuentzelTBL · C
87.7
39.0
48.8
241.0
29.4
46.0
43.6
51.3
84
145
Justin SourdifWSH · C
37.6
16.4
21.3
116.5
3.3
105.2
43.6
37.2
84
146
Alex TurcotteLAK · C
23.6
6.3
17.3
90.0
0.5
69.9
43.6
29.6
84
147
Lars EllerFLA · C
22.2
8.6
13.7
105.0
2.1
68.4
43.5
25.4
84
148
Akil ThomasVAN · C32 sample
17.7
8.2
9.4
79.7
1.0
131.6
43.4
25.7
84
149
Robby FabbriMIN · C
31.4
15.6
15.8
124.2
5.7
129.3
43.2
48.6
84
150
Brett HowdenVGK · C
37.3
22.6
14.7
114.2
1.7
156.6
43.1
49.0
84

No consistency figure for blocked shots: it has not passed the check this site requires, which is not a finding that blocked shots 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