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 · 204 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 →

Showing24 players clearingSOG 100+HIT 50+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	Noah Dobson MTL · D	MTL	D	D2	PP2	PK2	80	10.8	37.5	48.3	10.6	170	64	171	34	138.5
7	Sean Walker CAR · D	CAR	D	D1	—	PK2	82	8.2	17.2	25.4	0.7	156	124	116	54	134.4
8	Braden Schneider NYR · D	NYR	D	D3	—	PK2	83	3.5	14.2	17.7	0	103	162	142	25	132.4
9	Jakob Chychrun WSH · D	WSH	D	D1	PP1	PK3	79	19	32.1	51.1	17.5	199	61	111	58	131.2
10	Nikita Zadorov BOS · D	BOS	D	D1	—	PK2	82	4.2	16.1	20.3	0.1	101	199	100	143	130.1
11	Neal Pionk WPG · D	WPG	D	D2	PP2	PK2	73	4.9	17.2	22.1	5.4	126	149	106	50	126.9
12	Colton Parayko STL · D	STL	D	D2	—	PK2	76	6	13.6	19.6	0.4	109	96	166	20	122.2
13	Jackson LaCombe ANA · D	ANA	D	D1	PP1	PK1	81	11.5	43	54.5	15.5	143	72	129	24	117.5
14	Charlie McAvoy BOS · D	BOS	D	D1	PP2	PK1	73	10.5	46.6	57.1	19.8	118	99	134	66	117.1
15	Mike Matheson MTL · D	MTL	D	D2	PP2	PK1	79	7.9	29.8	37.7	5.6	122	59	152	40	112.1
16	Mikhail Sergachev UTA · D	UTA	D	D1	PP1	PK1	78	9.5	47	56.5	25.4	144	50	130	41	111.6
17	Thomas Chabot OTT · D	OTT	D	D2	PP2	PK1	74	8.3	31.1	39.4	9.4	136	51	137	28	110.8
18	Justin Faulk DET · D	DET	D	D1	PP2	PK2	76	8.7	23.5	32.2	8.7	129	73	120	37	109.5
19	Travis Sanheim PHI · D	PHI	D	D1	—	PK1	83	9.5	24.8	34.3	2.7	106	60	155	29	106.9
20	Seth Jones FLA · D	FLA	D	D2	PP1	PK2	71	8.6	30.8	39.4	19.5	127	78	100	26	104.2
21	Tristan Luneau ANA · D	ANA	D	D1	PP2	—	88	5.8	17.8	23.6	5.3	119	73	110	34	102.5
22	Adam Pelech NYI · D	NYI	D	D1	—	PK1	76	3.5	11.4	14.9	0.2	109	69	114	44	98.5
23	Mattias Ekholm EDM · D	EDM	D	D1	—	PK2	72	7.4	28	35.4	3.4	118	60	103	28	96.1
24	Vladislav Gavrikov NYR · D	NYR	D	D1	—	PK1	82	7.6	19.7	27.3	3.5	109	51	113	42	92.8

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

1.4/gm

BLK

1.4/gm

5/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	177	0.23	0.34	0.57	0.14	0.01	1.73	1.05	0.56	5	0.43	-0.01
LW	97	0.23	0.3	0.53	0.12	0.01	1.83	1.4	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	196	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	7	4	10	4
51-100	19	9	16	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.