On-ice results

Sequence xG (sxGF%) Leaders

2026-275-on-5Through 3 team games

Plain expected goals add up every shot in a scramble as if each one were a fresh chance, even though only one goal can come out of it. Sequence xG discounts each follow-up attempt by the chance the play was already over: a shot worth 0.30 after a 0.25 rebound counts as 0.30 × 0.75.

That takes about 5.5% out of the league total, but it moves individual players much more: skaters whose lines live on second and third whacks drop, and clean one-shot rush lines rise.

Leader in 2026-27: Leon Draisaitl (EDM), 86.8% sxGF%.

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

Strength5-on-5 Even strength All situations

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

119 qualified

Show

Sequence xG (sxGF%) Leaders, 2026-27, 5-on-5
#	Player	Team
1	Leon DraisaitlFEDM	EDM	86.8%	29	4.89	0.75	86.8%	100%
2	Vasily PodkolzinFEDM	EDM	79.7%	27	5.14	1.31	80.0%	64%▲55
3	Carter VerhaegheFFLA	FLA	79.5%	26	2.32	0.60	81.6%	73%▲1
4	Jack RoslovicFTOR	TOR	78.2%	26	2.54	0.71	78.7%	34%▲26
5	Kirill MarchenkoFTOR	TOR	77.4%	27	3.26	0.95	77.3%	98%▲7
6	Sam BennettFFLA	FLA	76.7%	27	1.95	0.59	79.1%	83%▲4
7	Elias PetterssonDVAN	VAN	72.2%	26	2.16	0.83	72.9%	13%▲13
8	Sam ReinhartFFLA	FLA	71.4%	25	1.44	0.58	70.8%	99%
9	Evan BouchardDEDM	EDM	70.9%	37	3.20	1.31	71.9%	100%
10	Mattias EkholmDEDM	EDM	69.0%	36	2.91	1.31	70.0%	77%▲9.7
11	Dmitry KulikovDFLA	FLA	68.9%	25	2.30	1.04	71.2%	3.2%▲3.1
12	Luke SchennDVAN	VAN	68.7%	25	2.62	1.20	68.9%	7.3%▲6.9
13	Seth JonesDFLA	FLA	68.6%	35	2.23	1.02	70.0%	80%▲32
14	Connor McDavidFEDM	EDM	68.3%	30	2.94	1.36	68.7%	100%▲1.5
15	Aaron EkbladDFLA	FLA	66.8%	23	1.86	0.92	69.7%	50%▲34
16	Niko MikkolaDFLA	FLA	65.1%	36	2.32	1.24	65.1%	4.9%▲4.4
17	Ryan SheaDEDM	EDM	64.2%	36	2.90	1.62	64.9%	15%▲9.6
18	Elias LindholmFBOS	BOS	63.1%	26	3.36	1.96	63.0%	43%▲4.6
19	Sean KuralyFBOS	BOS	62.8%	24	1.66	0.99	62.8%	0.1%
20	Auston MatthewsFTOR	TOR	62.6%	28	3.09	1.84	62.1%	99%
21	Hampus LindholmDBOS	BOS	61.8%	31	3.97	2.45	62.4%	16%▲15
22	Will BorgenDBOS	BOS	61.8%	30	3.59	2.22	62.3%	4.1%▲3.8
23	J.T. MillerFNYR	NYR	61.4%	36	3.11	1.95	61.3%	92%▲7.9
24	Oliver BjorkstrandFNYR	NYR	60.7%	37	3.06	1.98	60.6%	20%
25	Fraser MintenFBOS	BOS	60.4%	23	2.79	1.83	61.4%	45%▲35
26	Denton MateychukDCBJ	CBJ	60.4%	23	2.39	1.57	59.2%	42%▲40
27	Mika ZibanejadFNYR	NYR	60.1%	43	2.39	1.59	59.3%	98%▲1.1
28	David PastrnakFBOS	BOS	60.0%	30	2.96	1.97	59.8%	100%▲1.2
29	Mason LohreiDBOS	BOS	59.6%	32	2.61	1.77	60.3%	22%▲21
30	JJ PeterkaFBOS	BOS	59.0%	28	2.95	2.05	58.8%	75%▲36
31	Morgan RiellyDTOR	TOR	58.9%	32	2.66	1.85	56.5%	76%▼4.7
32	Sandis VilmanisFFLA	FLA	58.6%	24	3.45	2.43	60.1%	6.4%▲6.3
33	Kasperi KapanenFEDM	EDM	58.4%	28	3.65	2.60	57.3%	7.5%▲7.2
34	Casey MittelstadtFBOS	BOS	56.7%	25	3.95	3.01	58.1%	14%▲12
35	Alexis LafrenièreFNYR	NYR	56.6%	43	2.27	1.75	55.8%	82%▲13
36	Pavel DorofeyevFNYR	NYR	55.2%	37	3.28	2.66	55.0%	92%▲1.7
37	Gabe PerreaultFNYR	NYR	55.1%	38	2.59	2.11	54.5%	53%▲47
38	Nikita ZadorovDBOS	BOS	54.7%	35	2.33	1.92	56.0%	39%▲21
39	Alex FormentonFEDM	EDM	54.7%	27	2.13	1.76	57.0%	9.6%▲9.6
40	James HagensFBOS	BOS	54.6%	23	2.32	1.93	56.2%	50%▲42
41	Morgan GeekieFBOS	BOS	54.3%	28	3.73	3.13	55.7%	97%▲8.6
42	Jonathan AspirotDBOS	BOS	54.0%	29	2.27	1.94	54.7%	4.8%▲4.6
43	Vladislav GavrikovDNYR	NYR	53.6%	53	2.19	1.89	53.9%	41%▼5.7
44	Jake WalmanDEDM	EDM	53.5%	24	2.67	2.32	53.8%	33%▲30
45	Connor CliftonDBOS	BOS	53.1%	37	2.22	1.96	54.4%	7.4%▲6.7
46	Adam FoxDNYR	NYR	51.6%	46	2.52	2.36	51.5%	99%▲6.5
47	Jaccob SlavinDCAR	CAR	51.4%	31	2.22	2.09	51.6%	15%▲3.8
48	Liam OhgrenFVAN	VAN	51.2%	28	1.49	1.42	50.7%	17%▲17
49	Brock BoeserFVAN	VAN	51.1%	28	1.49	1.43	50.6%	63%▼5.5
50	Sean DurziDNYR	NYR	50.0%	48	2.08	2.08	49.3%	37%▲35
51	Frank NazarFCHI	CHI	49.5%	28	2.45	2.50	48.7%	54%▲34
52	Marcus PetterssonDNYR	NYR	49.4%	53	1.94	1.98	48.8%	5.8%▲5.4
53	Pavel ZachaFBOS	BOS	49.4%	24	3.32	3.41	50.9%	77%▲12
54	Marco RossiFVAN	VAN	49.3%	24	2.98	3.07	49.6%	58%▲12
55	Oliver Ekman-LarssonDTOR	TOR	48.5%	27	2.63	2.79	48.4%	43%▲32
56	Jordan GreenwayFCHI	CHI	48.1%	25	1.75	1.89	48.6%	0.3%
57	Filip HronekDVAN	VAN	47.8%	33	2.27	2.49	46.6%	91%▲14
58	Jake McCabeDTOR	TOR	47.3%	24	1.36	1.51	46.6%	34%▼15
59	Alberts SmitsDNYR	NYR	47.2%	42	2.35	2.63	46.3%	35%▲34
60	Troy StecherDTOR	TOR	47.1%	28	1.71	1.92	47.2%	0.2%
61	Chris TanevDTOR	TOR	46.9%	30	1.95	2.21	45.5%	6.0%▲5
62	Max SassonFVAN	VAN	46.6%	25	2.87	3.29	46.1%	4.9%▲4.9
63	Nikolaj EhlersFCAR	CAR	45.8%	23	2.00	2.37	45.2%	93%▲7.9
64	Eeli TolvanenFNYR	NYR	45.6%	31	1.80	2.16	45.0%	36%▼9.4
65	Connor MurphyDEDM	EDM	45.2%	38	2.31	2.81	45.9%	5.9%▲5
66	Cole SmithFCHI	CHI	44.9%	26	1.68	2.06	45.4%	0.1%
67	Zeev BuiumDVAN	VAN	44.6%	39	2.43	3.02	43.1%	74%▲54
68	Braden SchneiderDNYR	NYR	44.0%	44	1.89	2.41	43.6%	19%▲17
69	Jalen ChatfieldDCAR	CAR	43.7%	28	2.38	3.06	42.5%	4.1%▲3.4
70	Drew O'ConnorFVAN	VAN	43.7%	26	2.72	3.50	43.3%	5.9%▲4.5
71	Will CuylleFNYR	NYR	43.0%	35	1.80	2.39	42.5%	64%
72	Sam RinzelDCHI	CHI	42.4%	34	2.24	3.05	41.1%	33%▲32
73	Artyom LevshunovDCHI	CHI	42.1%	36	1.82	2.50	41.5%	45%▲43
74	Darren RaddyshDTOR	TOR	41.9%	32	2.24	3.10	40.0%	100%▲3.5
75	Ian ColeDCHI	CHI	41.3%	24	1.62	2.31	40.3%	4.9%▲4.3
76	Jonathan LekkerimäkiFVAN	VAN	41.1%	23	2.53	3.62	41.7%	25%▲25
77	Tyler BertuzziFCHI	CHI	38.4%	29	2.41	3.87	36.7%	62%▼3.2
78	Matvei MichkovFPHI	PHI	38.3%	24	1.19	1.92	38.8%	86%▲23
79	Linus KarlssonFVAN	VAN	38.0%	25	1.49	2.43	37.8%	11%▲9.5
80	Roman KantserovFCHI	CHI	37.8%	27	1.31	2.16	34.3%	59%▲49
81	Noah LabaFNYR	NYR	36.7%	35	1.74	2.99	36.5%	11%▲11
82	Wyatt KaiserDCHI	CHI	36.6%	37	1.79	3.09	36.5%	6.5%▲6.2
83	Ryan GreeneFCHI	CHI	35.0%	28	1.47	2.73	34.9%	10%▲10
84	Patrick KaneFCHI	CHI	34.9%	34	1.96	3.65	33.1%	80%▲0.9
85	Paul CotterFVAN	VAN	33.6%	24	1.04	2.06	31.5%	14%▲14
86	Mathieu JosephFEDM	EDM	33.6%	26	1.32	2.61	36.5%	0.1%
87	Bowen ByramDCHI	CHI	32.3%	41	1.96	4.12	30.6%	97%▲6.9
88	Anton FrondellFCHI	CHI	32.0%	27	2.09	4.45	30.9%	72%▲51
89	Joseph VelenoFNYR	NYR	31.6%	34	1.09	2.35	31.5%	3.3%▲3.1
90	Logan StankovenFCAR	CAR	31.5%	27	1.82	3.95	30.8%	67%▲42
91	Christian DvorakFPHI	PHI	31.5%	29	1.14	2.49	30.4%	16%▲13
92	Tom WillanderDVAN	VAN	29.8%	36	1.54	3.63	30.7%	25%▲24
93	Nick SeelerDPHI	PHI	29.7%	29	0.92	2.18	27.1%	8.9%▲8.4
94	Noel AcciariFPHI	PHI	29.5%	25	1.30	3.10	27.8%	3.3%▲3.1
95	Elias PetterssonFVAN	VAN	29.3%	26	1.25	3.02	29.4%	87%▼5.8
96	Travis KonecnyFPHI	PHI	28.6%	25	1.17	2.94	27.1%	92%▲9.9
97	Tye KartyeFNYR	NYR	28.3%	33	1.08	2.73	28.3%	7.2%▲7.1
98	Tyson FoersterFPHI	PHI	28.2%	27	1.08	2.74	28.6%	42%▲38
99	Shakir MukhamadullinDEDM	EDM	28.2%	23	1.33	3.40	27.1%	14%▲14
100	Gavin McKennaFTOR	TOR	27.8%	25	1.61	4.19	26.4%	94%▲11

Minimum sample: 23 min (it scales with games played and sequence coverage). 390 below the minimum are hidden.

How to read it

Read it like xGF%: 50% is even. Compare it with the plain xGF% column to see whose numbers are inflated by flurries.

How reliable is it?

Shares the stability of on-ice xGF%. The flurry discount itself is mechanical (no fitted parameters), so it adds no noise.

How Sequence xG is calculated →

All NHL leaderboards →

Sequence xG leaderboard

How to read it

How reliable is it?

Related leaderboards