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 FOW × PPP? — how a centre is judged in a faceoff league

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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 · FOW 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

Forwards · 396 projected

PPP ↓ / FOW →	100+	200+	300+	500+	700+
30+	13	10	9	7	3
25+	21	17	14	11	6
20+	35	31	27	20	10
15+	53	45	41	28	13
10+	67	58	54	36	13

Defence omitted — that position does not produce faceoff wins in any meaningful quantity, so a grid of it would be noise.

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 →

Showing10 players clearingFOW 200+PPP 30+Forwardsclear ×

#	Player	Tm	Pos	ES	PP	PK	GP	G	A	PTS	PPP	SOG	HIT	BLK	PIM	FOW	FLOOR %
1	Leon Draisaitl EDM · C	EDM	C	L1	PP1	PK3	77	38.7	72.8	111.5	47.9	224	39	22	35	742	97.6
2	Nick Suzuki MTL · C	MTL	C	L1	PP1	PK3	83	30.8	72.7	103.5	41	184	63	63	25	725	97.1
3	Nathan MacKinnon COL · C	COL	C	L1	PP1	—	81	46.3	83.6	129.9	36	345	57	44	40	700	96.3
4	Aleksander Barkov FLA · C	FLA	C	L1	PP1	—	76	25.1	61	86.1	32.6	179	95	57	19	676	95.6
5	Macklin Celebrini SJS · C	SJS	C	L1	PP1	PK3	79	43.3	76	119.3	36.6	314	51	52	40	600	92.6
6	Mika Zibanejad NYR · C	NYR	C	L1	PP1	PK1	81	27.3	44.4	71.7	31.2	196	82	48	17	568	90.5
7	Jack Eichel VGK · C	VGK	C	L1	PP1	PK1	76	29.5	66.6	96.1	31.1	256	33	46	17	561	90.3
8	Connor McDavid EDM · C	EDM	C	L1	PP1	PK1	80	44.4	95.2	139.6	52.5	280	49	29	41	450	84
9	Wyatt Johnston DAL · C	DAL	C	L1	PP1	—	83	42.7	45.9	88.6	39.6	226	53	51	29	408	80.7
10	Tim Stützle OTT · C	OTT	C	L1	PP1	PK1	81	32.7	58.9	91.6	33.7	202	126	45	41	295	73.4

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.

PPP ↓ / FOW →	100+	200+	300+	500+	700+
30+	13	10	9	7	3
25+	21	17	14	11	6
20+	35	31	27	20	10
15+	53	45	41	28	13
10+	67	58	54	36	13

PPP ↓ / FOW →	100+	200+	300+	500+	700+
30+	13	10	9	7	3
25+	21	17	14	11	6
20+	35	31	27	20	10
15+	53	45	41	28	13
10+	67	58	54	36	13

PPP ↓ / FOW →	100+	200+	300+	500+	700+
30+	13	10	9	7	3
25+	21	17	14	11	6
20+	35	31	27	20	10
15+	53	45	41	28	13
10+	67	58	54	36	13