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 PPP × SOG × HIT × BLK?

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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 both bars · PPP across, SOG down · projected season totals

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

Defence · 203 projected

SOG ↓ / PPP →	5+	10+	20+	25+
175+	12	12	9	5
150+	22	21	11	5
125+	37	31	16	9
100+	53	34	16	9

Forwards · 396 projected

SOG ↓ / PPP →	10+	15+	20+	25+	30+
250+	17	16	15	12	8
200+	51	45	36	28	15
150+	117	92	66	42	22

Each cell counts the players who clear both bars — down the side and across the top — and opens the list of exactly those men. The top-right corner is what you have to draft early; five or fewer is highlighted. See the players →

Showing21 players clearingPPP 10+SOG 150+Defenceclear ×

#	Player	Tm	Pos	ES	PP	PK	GP	G	A	PTS	PPP	SOG	HIT	BLK	PIM	FOW	PPP × 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	0	200.7
2	Cale Makar COL · D	COL	D	D1	PP1	PK2	80	22.5	67.6	90.1	35	222	43	127	23	0	174.8
3	Zach Werenski CBJ · D	CBJ	D	D1	PP1	PK2	80	20.3	63.5	83.8	23.4	273	28	112	23	0	174.6
4	Matthew Schaefer NYI · D	NYI	D	D1	PP1	PK3	81	22.8	45.6	68.4	24.4	259	42	111	40	0	173.9
5	Evan Bouchard EDM · D	EDM	D	D1	PP1	PK2	83	19	73.4	92.4	33.8	227	36	104	32	0	166.6
6	Rasmus Dahlin BUF · D	BUF	D	D1	PP1	PK3	80	18.5	59.1	77.6	24.7	209	91	96	73	0	164.4
7	Jake Sanderson OTT · D	OTT	D	D1	PP1	—	79	13.7	48.9	62.6	26.6	180	38	150	14	1	155
8	Noah Dobson MTL · D	MTL	D	D2	PP2	PK2	80	10.8	37.5	48.3	10.6	170	64	171	34	0	149.1
9	Jakob Chychrun WSH · D	WSH	D	D1	PP1	PK3	79	19	32.1	51.1	17.5	199	61	111	58	0	148.7
10	Quinn Hughes MIN · D	MIN	D	D1	PP1	PK3	78	13.4	77.9	91.3	38	202	12	85	34	0	147.9
11	Brandon Montour SEA · D	SEA	D	D2	PP2	PK3	77	12.6	25	37.6	11.2	198	88	91	58	0	144.1
12	Rasmus Andersson VGK · D	VGK	D	D2	PP2	PK2	83	12.6	28	40.6	11.9	166	39	164	65	0	139.2
13	Darren Raddysh TOR · D	TOR	D	D2	PP1	PK2	79	13.5	44.3	57.8	21.5	175	64	78	55	0	134.1
14	Brandt Clarke LAK · D	LAK	D	D2	PP1	PK3	81	8.5	33	41.5	14.2	156	29	161	57	0	133.6
15	Dougie Hamilton NJD · D	NJD	D	D2	PP2	PK2	72	10.6	27.4	38	14.1	182	78	76	43	0	133.1
16	Roman Josi NSH · D	NSH	D	D1	PP1	PK3	66	12.8	40.4	53.2	23.1	173	31	103	28	0	132.5
17	Josh Morrissey WPG · D	WPG	D	D1	PP1	PK3	81	11.4	46.6	58	19.1	152	47	118	31	0	129.4
18	Brock Faber MIN · D	MIN	D	—	—	—	76	10	32.3	42.3	10.5	153	36	131	33	0	121.8
19	Vince Dunn SEA · D	SEA	D	D1	PP1	PK3	77	9.7	32.9	42.6	18.5	157	33	84	52	0	116.4
20	Erik Karlsson PIT · D	PIT	D	D1	PP1	PK1	74	11.7	47.1	58.8	21.6	163	23	70	23	0	114.7
21	Luke Hughes NJD · D	NJD	D	D1	PP1	PK3	76	10.2	38.7	48.9	18.6	164	22	64	31	0	110

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.