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 HIT × BLK? — the banger core: who hits and blocks

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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 · HIT across, BLK 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

BLK ↓ / HIT →	75+	100+	125+	175+
160+	7	6	5	1
140+	15	14	9	1
120+	28	20	11	2
100+	42	30	17	4

Forwards · 396 projected

BLK ↓ / HIT →	100+	150+	200+
60+	8	5	3
50+	28	17	9
40+	62	31	16

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 →

Showing17 players clearingHIT 125+BLK 100+Defenceclear ×

#	Player	Tm	Pos	ES	PP	PK	GP	G	A	PTS	PPP	SOG	HIT	BLK	PIM	HIT × BLK pts
1	MacKenzie Weegar UTA · D	UTA	D	D1	PP2	PK2	81	6.9	27.4	34.3	9.8	157	182	175	69	107.1
2	Moritz Seider DET · D	DET	D	D1	PP1	PK1	83	9.9	49	58.9	27.7	176	160	182	52	102.6
3	Radko Gudas FLA · D	FLA	D	D3	—	PK3	69	1.4	7.6	9	0	74	210	122	80	99.6
4	Alexander Romanov NYI · D	NYI	D	D2	—	PK2	75	2.9	10.7	13.6	0	102	164	166	27	99
5	Simon Benoit PHI · D	PHI	D	D3	—	PK2	77	1.9	6.6	8.5	0	58	209	117	49	97.8
6	Jacob Trouba SJS · D	SJS	D	D2	—	PK1	80	6.2	19.7	25.9	0.9	143	153	165	44	95.4
7	Braden Schneider NYR · D	NYR	D	D3	—	PK2	83	3.5	14.3	17.8	0	103	162	142	25	91.2
8	Darnell Nurse SJS · D	SJS	D	D1	—	PK1	81	6.7	18.8	25.5	0.9	162	144	157	91	90.3
9	Nikita Zadorov BOS · D	BOS	D	D1	—	PK2	82	4.2	16.1	20.3	0.1	101	199	100	143	89.7
10	Martin Fehérváry WSH · D	WSH	D	D1	—	PK1	81	4.7	19.3	24	0	74	130	163	35	87.9
11	Ben Chiarot DET · D	DET	D	D2	—	PK1	77	2.6	6	8.6	0.1	91	146	143	65	86.7
12	Mario Ferraro WPG · D	WPG	D	D3	—	PK1	81	4.1	12.3	16.4	0.1	88	139	147	40	85.8
13	Erik Cernak TBL · D	TBL	D	D2	—	PK1	74	2.1	7.5	9.6	0	61	149	112	73	78.3
14	Mattias Samuelsson BUF · D	BUF	D	D1	—	PK1	72	6.6	20.5	27.1	0.3	89	125	132	28	77.1
15	Neal Pionk WPG · D	WPG	D	D2	PP2	PK2	73	4.9	17.2	22.1	5.4	126	149	106	50	76.5
16	Will Borgen BOS · D	BOS	D	D3	—	PK2	80	2.1	6.8	8.9	0	72	125	105	44	69
17	Tyler Kleven OTT · D	OTT	D	D3	—	PK1	77	2.9	10.8	13.7	0.2	94	126	101	48	68.1

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.