Position Analysis · 2026-27

Which position covers each fantasy category, per-game category averages by position, and where draft value concentrates. Projected regulars (50+ GP).

Value concentration scored for Points league — G=3, A=2, PPP=1, SOG=0.4, HIT/BLK=0.3, PIM=0.3.

How many players clear a bar in SOG × HIT × BLK?

my roster sheet

positions from

A man counts at every slot his league would start him in, so a C/LW clearing the bar is one more centre and one more left wing.

How many clear all three · a grid per level of SOG · HIT across, BLK down

BLK × PPP HIT × BLK SOG+HIT+BLK PPP × SOG+HIT+BLK PPP · HIT · BLK PPP · HIT · SOG FOW × PPP

Defence · 203 projected

SOG 100+

BLK ↓ / HIT →	50+	100+	150+
175+	2	2	2
125+	14	6	5
100+	24	9	6

SOG 200+

BLK ↓ / HIT →	50+	100+	150+
175+	0	0	0
125+	0	0	0
100+	0	0	0

Forwards · 396 projected

SOG 150+

BLK ↓ / HIT →	100+	150+	200+
60+	2	1	1
45+	12	6	3
30+	23	10	5

SOG 225+

BLK ↓ / HIT →	100+	150+	200+
60+	0	0	0
45+	1	0	0
30+	2	0	0

Every cell counts the players clearing all three bars at once, and opens the list of exactly those men. Five or fewer is highlighted. See the players →

Showing9 players clearingSOG 100+HIT 100+BLK 100+Defenceclear ×

#	Player	Tm	Pos	ES	PP	PK	GP	G	A	PTS	PPP	SOG	HIT	BLK	PIM	SOG × HIT × BLK pts
1	Moritz Seider DET · D	DET	D	D1	PP1	PK1	83	9.9	49	58.9	27.7	176	160	182	52	173
2	MacKenzie Weegar UTA · D	UTA	D	D1	PP2	PK2	81	6.9	27.4	34.3	9.8	157	182	175	69	169.9
3	Darnell Nurse SJS · D	SJS	D	D1	—	PK1	81	6.7	18.8	25.5	0.9	162	144	157	91	155.1
4	Jacob Trouba SJS · D	SJS	D	D2	—	PK1	80	6.2	19.7	25.9	0.9	143	153	165	44	152.6
5	Alexander Romanov NYI · D	NYI	D	D2	—	PK2	75	2.9	10.7	13.6	0	102	164	166	27	139.8
6	Sean Walker CAR · D	CAR	D	D1	—	PK2	82	8.2	17.2	25.4	0.7	156	124	116	54	134.4
7	Braden Schneider NYR · D	NYR	D	D3	—	PK2	83	3.5	14.3	17.8	0	103	162	142	25	132.4
8	Nikita Zadorov BOS · D	BOS	D	D1	—	PK2	82	4.2	16.1	20.3	0.1	101	199	100	143	130.1
9	Neal Pionk WPG · D	WPG	D	D2	PP2	PK2	73	4.9	17.2	22.1	5.4	126	149	106	50	126.9

Projected season totals, with the even-strength line and special-teams unit each projection is built on. Sort any column.

Positional context· per-game averages, category leaders and where value thins out

Category leaders · highest per-game average by position

0.25/gm

0.35/gm

0.6/gm

PPP

0.16/gm

SHP

0.01/gm

SOG

1.92/gm

HIT

1.41/gm

BLK

1.4/gm

4.99/gm

PIM

0.51/gm

+/-

0.03/gm

Per-game averages by position

Pos	n	G	A	P	PPP	SHP	SOG	HIT	BLK	FW	PIM	+/-
C	179	0.23	0.34	0.57	0.14	0.01	1.72	1.05	0.56	4.99	0.43	-0.01
LW	97	0.23	0.3	0.53	0.12	0.01	1.83	1.41	0.46	0.31	0.49	0
RW	103	0.25	0.35	0.6	0.16	0.01	1.92	1.15	0.47	0.26	0.44	0
D	195	0.07	0.26	0.33	0.07	0.01	1.31	1.01	1.4	0	0.51	0.03

Value scarcity · position mix among top-100 by multi-cat z

Tier	C	LW	RW	D
top 25	11	7	4	3
26-50	8	4	9	4
51-100	18	9	17	6

Reads: D lead BLK, C lead FW/assists, wingers lead shots/goals — and where value thins out by position tells you which to draft early.