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 BLK × PPP? — the modern defenceman's whole value

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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 · BLK 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

Defence · 203 projected

PPP ↓ / BLK →	100+	120+	140+	160+
25+	8	6	2	1
20+	11	6	2	1
10+	22	13	6	4
5+	36	20	9	5

Forwards · 396 projected

PPP ↓ / BLK →	40+	50+	60+
30+	11	6	1
25+	16	9	3
20+	26	12	6
15+	40	19	7
10+	57	28	12

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 →

Showing57 players clearingBLK 40+PPP 10+Forwardsclear ×

#	Player	Tm	Pos	ES	PP	PK	GP	G	A	PTS	PPP	SOG	HIT	BLK	PIM	FOW	BLK × PPP pts
1	Nick Suzuki MTL · C	MTL	C	L1	PP1	PK3	83	30.8	72.7	103.5	41	184	63	63	25	725	59.9
2	Wyatt Johnston DAL · C	DAL	C	L1	PP1	—	83	42.7	45.9	88.6	39.6	226	53	51	29	408	54.9
3	Elias Pettersson VAN · C	VAN	C	L1	PP1	PK1	77	19.9	41	60.9	23.6	141	78	100	20	608	53.6
4	Macklin Celebrini SJS · C	SJS	C	L1	PP1	PK3	79	43.3	76	119.3	36.6	314	51	52	40	600	52.2
5	Auston Matthews TOR · C	TOR	C	L1	PP1	PK2	74	41.3	39.4	80.7	21	287	56	96	22	715	49.8
6	Aleksander Barkov FLA · C	FLA	C	L1	PP1	—	76	25.1	61	86.1	32.6	179	95	57	19	676	49.7
7	Nathan MacKinnon COL · C	COL	C	L1	PP1	—	81	46.3	83.6	129.9	36	345	57	44	40	700	49.2
8	Matt Boldy MIN · L	MIN	R	L2	PP1	PK2	81	38.9	49.9	88.8	31.5	277	59	59	38	58	49.2
9	Juraj Slafkovský MTL · L	MTL	L	L2	PP1	—	83	32.2	46.8	79	26.7	187	134	72	51	16	48.3
10	Tim Stützle OTT · C	OTT	C	L1	PP1	PK1	81	32.7	58.9	91.6	33.7	202	126	45	41	295	47.2
11	Sam Reinhart FLA · C	FLA	R	L1	PP1	PK1	78	35.6	40.3	75.9	30.9	199	78	52	18	129	46.5
12	Mika Zibanejad NYR · C	NYR	C	L1	PP1	PK1	81	27.3	44.4	71.7	31.2	196	82	48	17	568	45.6
13	Jack Eichel VGK · C	VGK	C	L1	PP1	PK1	76	29.5	66.6	96.1	31.1	256	33	46	17	561	44.9
14	Nico Hischier NJD · C	NJD	C	L2	PP1	PK1	80	32.2	39.9	72.1	25.2	202	53	60	25	991	43.2
15	Jake Guentzel TBL · C	TBL	L	L2	PP1	PK3	81	37.8	49.4	87.2	30.2	220	39	43	48	180	43.1
16	Mitch Marner VGK · R	VGK	R	L2	PP1	PK2	82	22.9	66.5	89.4	29.1	170	35	46	22	101	42.9
17	Dylan Strome WSH · C	WSH	C	L2	PP1	—	82	21.5	44.7	66.2	25.4	142	15	53	40	754	41.3
18	Mark Stone VGK · R	VGK	R	L1	PP1	PK3	65	24.9	48.3	73.2	27	131	33	46	12	4	40.8
19	Elias Lindholm BOS · C	BOS	C	L1	PP2	PK3	80	20.5	34	54.5	19.4	134	70	68	33	765	39.8
20	Alexander Wennberg SJS · C	SJS	C	L3	PP1	PK2	81	13.7	32.4	46.1	13.1	87	31	87	18	622	39.2
21	Bryan Rust PIT · R	PIT	R	L3	—	PK1	72	27.3	34.8	62.1	20.5	174	44	62	24	4	39.1
22	Tomas Hertl VGK · C	VGK	C	L3	PP1	—	78	29.7	32.9	62.6	23.9	179	103	47	33	670	38
23	Alex Tuch WSH · R	WSH	L	L1	PP2	PK1	80	27.9	34.3	62.2	10.3	186	78	91	52	53	37.6
24	Mark Scheifele WPG · C	WPG	C	L1	PP1	PK3	80	30.8	60.3	91.1	22.9	167	43	47	46	591	37
25	Kirill Marchenko TOR · R	TOR	R	L1	PP1	—	79	30.1	43.9	74	24	226	64	43	30	8	36.9
26	Ryan O'Reilly NSH · C	NSH	C	L1	PP1	PK1	75	22.9	41	63.9	18.5	135	17	59	20	695	36.2
27	J.T. Miller NYR · C	NYR	C	L2	PP1	PK1	75	23	45.4	68.4	23.6	150	150	42	43	622	36.2
28	Tage Thompson BUF · C	BUF	C	L1	PP1	—	81	36.8	39.7	76.5	23.5	264	82	42	37	376	36.1
29	William Eklund OTT · L	OTT	L	L2	PP1	PK3	81	23.2	44	67.2	19.2	178	68	53	33	17	35.1
30	Rickard Rakell PIT · R	PIT	R	L1	PP1	PK2	75	29.4	30.4	59.8	18.2	186	96	56	12	64	35
31	Nick Schmaltz UTA · C	UTA	L	L1	PP1	PK2	79	26.8	41.2	68	21.1	180	20	46	23	338	34.9
32	Robert Thomas STL · C	STL	C	L1	PP1	PK3	76	23.6	55.5	79.1	20.2	134	14	47	28	706	34.3
33	Eeli Tolvanen NYR · R	NYR	R	L3	PP2	—	79	15.9	20.9	36.8	11	136	198	74	28	2	33.2
34	Matty Beniers SEA · C	SEA	C	L1	PP1	PK3	83	23.3	31	54.3	12.7	154	39	68	22	537	33.1
35	Anton Frondell CHI · C	CHI	C	L2	PP1	—	87	31.5	12.6	44.1	15.5	228	63	57	21	497	32.6
36	Chandler Stephenson SEA · C	SEA	C	L2	PP1	PK1	81	12.5	35.3	47.8	16.5	86	28	53	18	755	32.4
37	Tom Wilson WSH · R	WSH	R	L1	PP1	PK1	77	28.5	32.1	60.6	13.9	155	200	60	115	15	31.9
38	Mathew Barzal NYI · C	NYI	C	—	—	—	72	20.3	48.3	68.6	17.9	166	32	45	46	157	31.4
39	Mikael Granlund ANA · C	ANA	L	L2	PP1	PK2	73	18.7	31.7	50.4	15.7	132	46	51	24	417	31
40	Marco Rossi VAN · C	VAN	C	L1	PP1	PK3	75	18	34.1	52.1	18.6	116	62	41	23	411	30.9
41	Brock Nelson COL · C	COL	R	L2	PP2	PK1	78	26.4	30	56.4	14.3	170	36	54	29	645	30.5
42	Joel Eriksson Ek MIN · C	MIN	C	L2	PP1	PK2	72	23.2	31.6	54.8	17.2	198	116	40	35	692	29.2
43	Joel Farabee CGY · L	CGY	R	L3	PP1	PK1	82	16.9	18.3	35.2	13.9	144	63	51	31	25	29.2
44	Timo Meier NJD · R	NJD	L	L2	PP2	—	81	31	23.5	54.5	12.3	255	137	56	35	45	29.1
45	Morgan Frost CGY · C	CGY	C	L2	PP1	—	80	17.9	22.3	40.2	15.5	135	62	45	26	558	29
46	Bo Horvat NYI · C	NYI	C	L1	PP1	PK2	79	32.5	30.9	63.4	16.1	238	69	42	36	789	28.7
47	Brandon Hagel TBL · L	TBL	R	L2	PP1	PK2	81	40	49.2	89.2	13.6	229	52	48	63	23	28
48	Jimmy Snuggerud STL · R	STL	R	L1	PP1	—	76	28.3	39.9	68.2	15.2	206	77	42	23	4	27.8
49	Adam Fantilli CBJ · C	CBJ	C	L1	PP1	—	83	29.1	35.9	65	13.1	218	126	49	32	514	27.8
50	Travis Konecny PHI · R	PHI	R	L1	PP2	PK3	81	26.6	46.2	72.8	15.4	181	105	40	60	28	27.4
51	Anton Lundell FLA · C	FLA	C	L3	PP2	PK1	77	20.6	31.4	52	13.7	166	90	44	40	617	26.9
52	Charlie Coyle CBJ · C	CBJ	C	L3	PP1	PK1	80	18.2	30.5	48.7	10.4	121	104	53	18	556	26.3
53	Frank Nazar CHI · C	CHI	C	L1	PP2	PK3	71	21.1	29.2	50.3	12	152	42	45	30	386	25.5
54	Pierre-Luc Dubois WSH · C	WSH	C	L1	PP1	PK3	69	16.7	34.2	50.9	12.6	112	59	40	56	448	24.6
55	Dylan Holloway STL · L	STL	L	L1	PP2	PK3	72	24.4	36.4	60.8	10.6	184	156	46	23	44	24.4
56	Quinton Byfield LAK · C	LAK	C	L1	PP1	PK2	82	26.3	30.9	57.2	12.1	180	73	40	47	451	24.1
57	Conor Garland CBJ · R	CBJ	R	L2	PP2	PK2	80	17.7	25.3	43	11.4	152	50	40	40	11	23.4

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.