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 × PIM?

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 HIT · BLK across, PIM down

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

Defence · 203 projected

HIT 50+

PIM ↓ / BLK →	100+	125+	175+
80+	3	1	0
60+	10	6	1
40+	33	16	2

HIT 100+

PIM ↓ / BLK →	100+	125+	175+
80+	3	1	0
60+	7	3	1
40+	18	8	2

HIT 150+

PIM ↓ / BLK →	100+	125+	175+
80+	2	0	0
60+	3	1	1
40+	6	3	2

Forwards · 396 projected

HIT 75+

PIM ↓ / BLK →	30+	45+	60+
75+	8	6	2
45+	41	17	5
30+	84	33	7

HIT 225+

PIM ↓ / BLK →	30+	45+	60+
75+	3	2	0
45+	8	5	0
30+	10	6	1

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 →

Showing18 players clearingHIT 100+BLK 100+PIM 40+Defenceclear ×

#	Player	Tm	Pos	ES	PP	PK	GP	G	A	PTS	PPP	SOG	HIT	BLK	PIM	HIT × BLK × PIM pts
1	Nikita Zadorov BOS · D	BOS	D	D1	—	PK2	82	4.2	16.1	20.3	0.1	101	199	100	143	132.6
2	MacKenzie Weegar UTA · D	UTA	D	D1	PP2	PK2	81	6.9	27.4	34.3	9.8	157	182	175	69	127.8
3	Radko Gudas FLA · D	FLA	D	D3	—	PK3	69	1.4	7.6	9	0	74	210	122	80	123.6
4	Moritz Seider DET · D	DET	D	D1	PP1	PK1	83	9.9	49	58.9	27.7	176	160	182	52	118.2
5	Darnell Nurse SJS · D	SJS	D	D1	—	PK1	81	6.7	18.8	25.5	0.9	162	144	157	91	117.6
6	Simon Benoit PHI · D	PHI	D	D3	—	PK2	77	1.9	6.6	8.5	0	58	209	117	49	112.5
7	Jacob Trouba SJS · D	SJS	D	D2	—	PK1	80	6.2	19.7	25.9	0.9	143	153	165	44	108.6
8	Ben Chiarot DET · D	DET	D	D2	—	PK1	77	2.6	6	8.6	0.1	91	146	143	65	106.2
9	Jake McCabe TOR · D	TOR	D	D1	—	PK1	77	3.7	17.8	21.5	0.2	73	118	166	56	102
10	Erik Cernak TBL · D	TBL	D	D2	—	PK1	74	2.1	7.5	9.6	0	61	149	112	73	100.2
11	Mario Ferraro WPG · D	WPG	D	D3	—	PK1	81	4.1	12.3	16.4	0.1	88	139	147	40	97.8
12	Nick Seeler PHI · D	PHI	D	D3	—	PK2	77	2.4	6.1	8.5	0	83	120	156	40	94.8
13	Neal Pionk WPG · D	WPG	D	D2	PP2	PK2	73	4.9	17.2	22.1	5.4	126	149	106	50	91.5
14	Vincent Desharnais WSH · D	WSH	D	D3	—	PK1	68	1.1	6.1	7.2	0	40	123	104	71	89.4
15	Sean Walker CAR · D	CAR	D	D1	—	PK2	82	8.2	17.2	25.4	0.7	156	124	116	54	88.2
16	Tyler Kleven OTT · D	OTT	D	D3	—	PK1	77	2.9	10.8	13.7	0.2	94	126	101	48	82.5
17	Will Borgen BOS · D	BOS	D	D3	—	PK2	80	2.1	6.8	8.9	0	72	125	105	44	82.2
18	Kevin Bahl CGY · D	CGY	D	D1	—	PK1	77	2.4	10.9	13.3	0.7	64	117	104	48	80.7

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.