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 BLK × PPP? — the modern defenceman's whole value

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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 · BLK across, PPP 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

PPP ↓ / BLK →	100+	120+	140+	160+
25+	8	6	2	1
20+	11	6	2	1
10+	22	13	6	4
5+	36	20	9	5

Forwards · 396 projected

PPP ↓ / BLK →	40+	50+	60+
30+	11	6	1
25+	16	9	3
20+	26	12	6
15+	40	19	7
10+	57	28	12

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 →

Showing9 players clearingBLK 140+PPP 5+Defenceclear ×

#	Player	Tm	Pos	ES	PP	PK	GP	G	A	PTS	PPP	SOG	HIT	BLK	PIM	FOW	BLK × PPP pts
1	Moritz Seider DET · D	DET	D	D1	PP1	PK1	83	9.9	49	58.9	27.7	176	160	182	52	0	82.3
2	Jake Sanderson OTT · D	OTT	D	D1	PP1	—	79	13.7	48.9	62.6	26.6	180	38	150	14	1	71.6
3	Brandt Clarke LAK · D	LAK	D	D2	PP1	PK3	81	8.5	33	41.5	14.2	156	29	161	57	0	62.5
4	MacKenzie Weegar UTA · D	UTA	D	D1	PP2	PK2	81	6.9	27.4	34.3	9.8	157	182	175	69	0	62.3
5	Noah Dobson MTL · D	MTL	D	D2	PP2	PK2	80	10.8	37.5	48.3	10.6	170	64	171	34	0	61.9
6	Rasmus Andersson VGK · D	VGK	D	D2	PP2	PK2	83	12.6	28	40.6	11.9	166	39	164	65	0	61.1
7	Thomas Harley DAL · D	DAL	D	D1	PP2	PK2	79	10	35.8	45.8	10.4	143	44	146	26	0	54.2
8	Mike Matheson MTL · D	MTL	D	D2	PP2	PK1	79	7.9	29.8	37.7	5.6	122	59	152	40	0	51.2
9	Cam York PHI · D	PHI	D	D2	PP2	PK1	74	6.3	19.2	25.5	5.2	86	39	141	30	0	47.5

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.