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Shot Diet Leaders (ixG per Attempt)

Name: Shot Diet Leaders (ixG per Attempt) (2026-27)
Creator: Edgehalla

2026-275-on-5Through 3 team games

Shot Diet asks one question: when this player shoots, how good is the shot on average? It divides his individual expected goals by his unblocked attempts at 5-on-5. Net-front scorers and slot-crashers top it; point men and perimeter volume shooters sit at the bottom.

It is one of the most repeatable things a shooter does, far steadier than shooting percentage, which is why it is the number to check before believing a hot or cold finishing streak.

Leader in 2026-27: Jordan Eberle (SEA), 0.162 ixG/att.

Season2026-27 2025-26 2024-25 2023-24

Early sample: teams have played at most 3 games in 2026-27. Expect big swings.

51 qualified

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Shot Diet Leaders (ixG per Attempt), 2026-27, 5-on-5
#	Player	Team				G
1	Jordan EberleFSEA	SEA	0.162	5	0.8	0	−0.81	30%▲2.6
2	Brendan GallagherFVAN	VAN	0.148	5	0.7	0	−0.74	3.3%▲2.8
3	Jack EichelFVGK	VGK	0.122	5	0.6	1	+0.39	99%▲1.4
4	Vasily PodkolzinFEDM	EDM	0.122	10	1.2	1	−0.22	64%▲55
5	Eetu LuostarinenFFLA	FLA	0.116	5	0.6	1	+0.42	11%▲9.1
6	Kirill MarchenkoFTOR	TOR	0.112	8	0.9	0	−0.90	98%▲7
7	Anders LeeFUTA	UTA	0.107	5	0.5	1	+0.46	29%▼20
8	Leon DraisaitlFEDM	EDM	0.106	6	0.6	1	+0.36	100%
9	Sandis VilmanisFFLA	FLA	0.100	5	0.5	0	−0.50	6.4%▲6.3
10	Anton LundellFFLA	FLA	0.098	6	0.6	0	−0.59	45%▲30
11	Trevor ConnellyFVGK	VGK	0.091	5	0.5	1	+0.55	32%▲32
12	Cole SillingerFCBJ	CBJ	0.087	5	0.4	1	+0.57	11%▲9.9
13	Barrett HaytonFUTA	UTA	0.083	7	0.6	0	−0.58	11%▲11
14	Simon NemecDCGY	CGY	0.083	5	0.4	0	−0.41	62%▲52
15	Ryan WintertonFSEA	SEA	0.081	5	0.4	0	−0.40	4.0%▲3.9
16	Pavel DorofeyevFNYR	NYR	0.078	10	0.8	1	+0.22	92%▲1.7
17	Patrick KaneFCHI	CHI	0.077	8	0.6	1	+0.39	80%▲0.9
18	J.T. MillerFNYR	NYR	0.076	6	0.5	0	−0.46	92%▲7.9
19	William NylanderFTOR	TOR	0.075	7	0.5	2	+1.47	99%▼0.9
20	Clayton KellerFUTA	UTA	0.074	6	0.4	0	−0.45	100%▲2
21	Pavel ZachaFBOS	BOS	0.074	5	0.4	0	−0.37	77%▲12
22	Mika ZibanejadFNYR	NYR	0.069	5	0.3	0	−0.34	98%▲1.1
23	Oliver BjorkstrandFNYR	NYR	0.069	6	0.4	0	−0.41	20%
24	Nathan MacKinnonFCOL	COL	0.067	7	0.5	1	+0.53	100%▲0.8
25	Kirill KaprizovFMIN	MIN	0.067	5	0.3	1	+0.66	98%▼0.8
26	Tage ThompsonFBUF	BUF	0.064	5	0.3	0	−0.32	100%▲1.1
27	David PastrnakFBOS	BOS	0.063	5	0.3	0	−0.31	100%▲1.2
28	Oliver MooreFCHI	CHI	0.061	5	0.3	0	−0.31	22%▲22
29	Blake LizotteFPIT	PIT	0.058	5	0.3	0	−0.29	0.1%
30	Jordan GreenwayFCHI	CHI	0.057	7	0.4	1	+0.60	0.3%
31	Anton FrondellFCHI	CHI	0.057	5	0.3	0	−0.28	72%▲51
32	Will CuylleFNYR	NYR	0.053	13	0.7	0	−0.69	64%
33	Jack HughesFNJD	NJD	0.053	6	0.3	0	−0.32	100%
34	Quinn HughesDMIN	MIN	0.053	6	0.3	0	−0.32	100%
35	Arseny GritsyukFNJD	NJD	0.051	5	0.3	0	−0.25	22%▲21
36	Sidney CrosbyFPIT	PIT	0.048	5	0.2	0	−0.24	100%▲2.4
37	Dougie HamiltonDNJD	NJD	0.047	6	0.3	1	+0.72	84%▲12
38	Colton SissonsFTOR	TOR	0.043	6	0.3	1	+0.74	3.3%▲3.1
39	Christian DvorakFPHI	PHI	0.040	5	0.2	0	−0.20	16%▲13
40	Braden SchneiderDNYR	NYR	0.040	5	0.2	0	−0.20	19%▲17
41	Evan BouchardDEDM	EDM	0.037	12	0.4	4	+3.55	100%
42	Rasmus RistolainenDPHI	PHI	0.037	5	0.2	0	−0.18	7.5%▲6.8
43	Marcus PetterssonDNYR	NYR	0.033	5	0.2	0	−0.17	5.8%▲5.4
44	Darren RaddyshDTOR	TOR	0.031	5	0.2	0	−0.16	100%▲3.5
45	Kyle PalmieriFNYI	NYI	0.028	6	0.2	0	−0.17	19%▲10
46	Max JonesFEDM	EDM	0.028	6	0.2	0	−0.17	0.1%
47	Niko MikkolaDFLA	FLA	0.027	8	0.2	0	−0.22	4.9%▲4.4
48	Colton DachFEDM	EDM	0.023	5	0.1	0	−0.12	11%▲11
49	Matt BoldyFMIN	MIN	0.022	6	0.1	0	−0.13	100%
50	Macklin CelebriniFSJS	SJS	0.019	5	0.1	0	−0.10	100%▲0.9
51	Sam RinzelDCHI	CHI	0.018	7	0.1	0	−0.12	33%▲32

Minimum sample: 4.5 attempts (it scales with games played and sequence coverage). 345 below the minimum are hidden.

How to read it

Expected goals per unblocked attempt. League average is about 0.06-0.07; 0.10+ is an elite diet.

How reliable is it?

Very stable: split-half r ≈ 0.68, one of the strongest individual signals in the data.

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