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 →

Showing33 players clearingHIT 75+BLK 45+PIM 30+Forwardsclear ×

#	Player	Tm	Pos	ES	PP	PK	GP	G	A	PTS	PPP	SOG	HIT	BLK	PIM	FOW	HIT × BLK × PIM pts
1	Will Cuylle NYR · L	NYR	L	L3	PP2	PK2	83	22.6	20.6	43.2	7	158	299	59	58	31	124.8
2	Mathieu Olivier CBJ · R	CBJ	R	L3	—	PK3	71	12.5	11.2	23.7	0	96	242	54	109	6	121.5
3	Adam Klapka CGY · R	CGY	R	L4	—	—	73	6.5	9.3	15.8	1.3	78	264	46	89	11	119.7
4	Mark Kastelic BOS · C	BOS	R	L4	—	PK1	77	8.7	8.1	16.8	0.5	88	211	54	121	306	115.8
5	Tom Wilson WSH · R	WSH	R	L1	PP1	PK1	77	28.5	32.1	60.6	13.9	155	200	60	115	15	112.5
6	Tanner Jeannot BOS · L	BOS	L	L4	—	PK2	76	7.8	11.5	19.3	0.7	72	240	52	74	10	109.8
7	Beck Malenstyn BUF · L	BUF	R	L4	—	PK1	80	4.2	4.6	8.8	0	71	254	71	35	13	108
8	Garnet Hathaway FLA · R	FLA	R	L4	—	PK2	62	2.7	2.8	5.5	0	44	229	53	56	12	101.4
9	Michael McCarron MIN · C	MIN	C	L4	—	PK1	75	6.9	6.5	13.4	0	92	178	66	88	484	99.6
10	Vincent Trocheck UTA · C	UTA	C	L1	PP2	PK2	78	22.2	41	63.2	9.9	149	206	61	60	772	98.1
11	Vasily Podkolzin EDM · R	EDM	R	L1	PP1	PK2	79	15.2	16.9	32.1	3.4	127	223	49	54	18	97.8
12	Marcus Foligno MIN · L	MIN	R	L4	—	PK3	64	7.1	6	13.1	1	68	203	47	70	9	96
13	Lawson Crouse UTA · L	UTA	L	L3	—	PK1	82	19.9	16.6	36.5	1.9	135	205	51	43	26	89.7
14	Brandon Duhaime TOR · L	TOR	R	L4	—	PK2	80	4.5	4.3	8.8	0	68	161	54	77	14	87.6
15	Parker Kelly COL · C	COL	L	L4	—	PK1	79	11.9	11.4	23.3	0	95	169	58	30	116	77.1
16	Marco Kasper DET · C	DET	C	L3	PP2	PK3	79	15.4	13.4	28.8	2.5	144	175	48	34	243	77.1
17	Juraj Slafkovský MTL · L	MTL	L	L2	PP1	—	83	32.2	46.8	79	26.7	187	134	72	51	16	77.1
18	Blake Coleman MIN · L	MIN	L	L2	PP2	PK1	76	20.4	17.6	38	2.1	171	155	53	48	21	76.8
19	Frank Vatrano ANA · R	ANA	R	L3	PP2	PK3	74	15.5	12.2	27.7	4.3	155	130	51	63	10	73.2
20	Adam Lowry WPG · C	WPG	C	L3	—	PK1	75	10.6	16.3	26.9	0.2	81	152	52	34	581	71.4
21	Nic Dowd VGK · C	VGK	C	L4	—	PK1	71	6.5	11.2	17.7	0	62	124	54	59	474	71.1
22	Eetu Luostarinen FLA · C	FLA	L	L3	—	PK2	80	13.1	20.4	33.5	1.2	105	141	60	32	99	69.9
23	Scott Laughton LAK · C	LAK	C	L3	PP2	PK1	74	11.4	11.2	22.6	2	110	144	48	36	426	68.4
24	Timo Meier NJD · R	NJD	L	L2	PP2	—	81	31	23.5	54.5	12.3	255	137	56	35	45	68.4
25	Boone Jenner WSH · C	WSH	C	L4	PP2	PK2	62	15.5	21.7	37.2	4	124	127	58	36	254	66.3
26	Alex Tuch WSH · R	WSH	L	L1	PP2	PK1	80	27.9	34.3	62.2	10.3	186	78	91	52	53	66.3
27	Tim Stützle OTT · C	OTT	C	L1	PP1	PK1	81	32.7	58.9	91.6	33.7	202	126	45	41	295	63.6
28	Adam Fantilli CBJ · C	CBJ	C	L1	PP1	—	83	29.1	35.9	65	13.1	218	126	49	32	514	62.1
29	Cole Sillinger CBJ · C	CBJ	L	L3	—	—	78	14.8	26.1	40.9	1.7	145	106	45	38	155	56.7
30	Tomas Hertl VGK · C	VGK	C	L3	PP1	—	78	29.7	32.9	62.6	23.9	179	103	47	33	670	54.9
31	Noah Cates PHI · C	PHI	C	L3	PP2	PK2	80	17.5	26	43.5	7	118	95	51	33	452	53.7
32	Shane Pinto OTT · C	OTT	C	L3	PP2	PK1	72	24.1	22	46.1	5	148	87	50	36	415	51.9
33	Jordan Martinook CAR · L	CAR	R	L3	—	PK1	76	12.9	16	28.9	0	102	95	46	31	33	51.6

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.