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 PPP × SOG × 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 both bars · PPP across, SOG 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

SOG ↓ / PPP →	5+	10+	20+	25+
175+	12	12	9	5
150+	22	21	11	5
125+	37	31	16	9
100+	53	34	16	9

Forwards · 396 projected

SOG ↓ / PPP →	10+	15+	20+	25+	30+
250+	17	16	15	12	8
200+	51	45	36	28	15
150+	117	92	66	42	22

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 →

Showing51 players clearingPPP 10+SOG 200+Forwardsclear ×

#	Player	Tm	Pos	ES	PP	PK	GP	G	A	PTS	PPP	SOG	HIT	BLK	PIM	FOW	PPP × SOG × HIT × BLK × PIM pts
1	Brady Tkachuk FLA · L	FLA	L	L1	PP1	—	76	36.1	43.3	79.4	26.4	298	222	27	102	216	250.9
2	Nathan MacKinnon COL · C	COL	C	L1	PP1	—	81	46.3	83.6	129.9	36	345	57	44	40	700	216.3
3	Macklin Celebrini SJS · C	SJS	C	L1	PP1	PK3	79	43.3	76	119.3	36.6	314	51	52	40	600	205.1
4	David Pastrnak BOS · R	BOS	R	L1	PP1	—	82	36.4	74.8	111.2	34	295	80	30	62	3	203.6
5	Connor McDavid EDM · C	EDM	C	L1	PP1	PK1	80	44.4	95.2	139.6	52.5	280	49	29	41	450	200.2
6	Dylan Cozens OTT · C	OTT	C	L2	PP1	—	83	28.1	33.9	62	25	202	200	31	59	494	192.8
7	Matt Boldy MIN · L	MIN	R	L2	PP1	PK2	81	38.9	49.9	88.8	31.5	277	59	59	38	58	189.1
8	Auston Matthews TOR · C	TOR	C	L1	PP1	PK2	74	41.3	39.4	80.7	21	287	56	96	22	715	188
9	Filip Forsberg NSH · L	NSH	L	L2	PP1	—	81	32.5	39	71.5	26.8	247	129	38	36	8	186.5
10	Jason Robertson DAL · L	DAL	L	L2	PP1	—	83	40.4	55.4	95.8	38	276	55	36	28	3	184.1
11	Timo Meier NJD · R	NJD	L	L2	PP2	—	81	31	23.5	54.5	12.3	255	137	56	35	45	182.7
12	Tim Stützle OTT · C	OTT	C	L1	PP1	PK1	81	32.7	58.9	91.6	33.7	202	126	45	41	295	178.1
13	Tage Thompson BUF · C	BUF	C	L1	PP1	—	81	36.8	39.7	76.5	23.5	264	82	42	37	376	177.4
14	Cutter Gauthier ANA · L	ANA	R	L1	PP1	—	80	35.3	32.9	68.2	19.7	288	68	31	28	83	173
15	Sam Bennett FLA · C	FLA	C	L2	PP2	PK3	78	28.2	31	59.2	13.5	203	132	37	85	508	170.9
16	Nikita Kucherov TBL · R	TBL	L	L1	PP1	—	77	36.8	90.8	127.6	42.6	238	34	30	44	0	170.2
17	Wyatt Johnston DAL · C	DAL	C	L1	PP1	—	83	42.7	45.9	88.6	39.6	226	53	51	29	408	169.9
18	Dylan Guenther UTA · R	UTA	R	L2	PP1	—	79	36.7	38.6	75.3	29.4	252	65	34	29	22	168.6
19	Adrian Kempe LAK · R	LAK	R	L1	PP1	—	82	31.9	39.3	71.2	15.9	224	119	38	53	39	168.5
20	Leon Draisaitl EDM · C	EDM	C	L1	PP1	PK3	77	38.7	72.8	111.5	47.9	224	39	22	35	742	166.3
21	Beckett Sennecke ANA · R	ANA	R	L2	PP1	—	81	33	45.7	78.7	18.9	230	98	28	57	3	165.8
22	Alex DeBrincat DET · R	DET	L	L1	PP1	—	83	38.9	42.6	81.5	25.8	270	43	39	24	20	165.6
23	Jack Hughes NJD · C	NJD	C	L1	PP1	—	72	36	63.6	99.6	32.5	286	7	36	15	197	164.3
24	Roman Kantserov CHI · R	CHI	L	L1	PP1	—	88	32.2	25.1	57.3	20.5	244	75	37	42	17	164.3
25	Adam Fantilli CBJ · C	CBJ	C	L1	PP1	—	83	29.1	35.9	65	13.1	218	126	49	32	514	162.4
26	Jack Eichel VGK · C	VGK	C	L1	PP1	PK1	76	29.5	66.6	96.1	31.1	256	33	46	17	561	162.3
27	Kirill Kaprizov MIN · L	MIN	L	L1	PP1	—	72	39.1	45.1	84.2	30.9	248	47	27	28	0	160.7
28	Cole Caufield MTL · R	MTL	R	L1	PP1	—	80	41.1	37.9	79	26.7	258	54	24	15	6	157.8
29	Dylan Larkin DET · C	DET	C	—	—	—	79	35.8	38.3	74.1	27.1	231	47	34	46	838	157.6
30	Jake Guentzel TBL · C	TBL	L	L2	PP1	PK3	81	37.8	49.4	87.2	30.2	220	39	43	48	180	157.2
31	Martin Necas COL · R	COL	R	L1	PP1	—	81	32.7	64.1	96.8	29.5	214	80	27	29	30	155.9
32	Kirill Marchenko TOR · R	TOR	R	L1	PP1	—	79	30.1	43.9	74	24	226	64	43	30	8	155.5
33	Bo Horvat NYI · C	NYI	C	L1	PP1	PK2	79	32.5	30.9	63.4	16.1	238	69	42	36	789	155.4
34	Brandon Hagel TBL · L	TBL	R	L2	PP1	PK2	81	40	49.2	89.2	13.6	229	52	48	63	23	154.1
35	Kyle Connor WPG · L	WPG	L	L1	PP1	PK2	82	37.2	55.5	92.7	23.3	267	32	26	18	0	152.9
36	Connor Bedard CHI · C	CHI	C	—	—	—	67	30.9	50	80.9	24	230	36	28	48	251	149.6
37	Sebastian Aho CAR · C	CAR	C	L1	PP1	PK2	81	30.7	54.3	85	28	203	62	25	46	626	149.1
38	Anton Frondell CHI · C	CHI	C	L2	PP1	—	87	31.5	12.6	44.1	15.5	228	63	57	21	497	149
39	Nico Hischier NJD · C	NJD	C	L2	PP1	PK1	80	32.2	39.9	72.1	25.2	202	53	60	25	991	147.4
40	Clayton Keller UTA · R	UTA	R	L1	PP1	—	83	30.6	64.7	95.3	31.7	226	11	33	36	14	146.1
41	Seth Jarvis CAR · R	CAR	R	—	—	—	68	34.3	36.1	70.4	20.1	211	81	34	20	43	145
42	Kevin Fiala LAK · L	LAK	L	—	—	—	78	27.2	31.2	58.4	24	203	57	28	45	11	144.2
43	Jimmy Snuggerud STL · R	STL	R	L1	PP1	—	76	28.3	39.9	68.2	15.2	206	77	42	23	4	140.2
44	Nazem Kadri COL · C	COL	C	L2	PP2	—	76	24.2	33	57.2	18.9	211	51	28	40	510	139
45	Pavel Dorofeyev NYR · R	NYR	R	L2	PP1	—	80	31.4	24.4	55.8	25.4	220	28	31	26	1	138.9
46	William Nylander TOR · R	TOR	R	L2	PP1	PK3	79	33	54.8	87.8	29.2	214	17	29	22	48	135.2
47	Carter Verhaeghe FLA · L	FLA	L	L2	PP2	—	81	25.9	32.8	58.7	13.3	202	74	25	37	34	134.9
48	Gavin McKenna TOR · L	TOR	L	L2	PP2	—	88	17	40.9	57.9	12.3	200	62	30	50	14	134.9
49	Leo Carlsson ANA · C	ANA	C	L1	PP1	PK3	77	31.5	47.6	79.1	19.8	208	20	36	34	420	130
50	Artemi Panarin LAK · L	LAK	L	L1	PP1	—	77	27.9	55.3	83.2	25.3	214	14	14	19	1	125
51	Jordan Kyrou WSH · R	WSH	R	L3	PP2	—	80	26.2	33.2	59.4	17.3	201	26	33	14	4	119.6

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.