On-ice results

Sequence xG (sxGF%) Leaders

2025-265-on-5Through 82 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 2025-26: Jordan Spence (OTT), 62.5% sxGF%.

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

Strength5-on-5 Even strength All situations

602 qualified

Show

Sequence xG (sxGF%) Leaders, 2025-26, 5-on-5
#	Player	Team
1	Jordan SpenceDOTT	OTT	62.5%	1,212	3.08	1.84	62.6%	21%▲17
2	Sam MalinskiDCOL	COL	61.8%	1,322	3.11	1.92	62.1%	56%▲33
3	Mark StoneFVGK	VGK	61.7%	803	3.09	1.92	61.7%	93%▲9
4	Jordan KyrouFSTL	STL	61.1%	923	3.00	1.91	61.6%	79%▲2.9
5	Brady TkachukFOTT	OTT	61.0%	751	3.24	2.07	61.0%	100%▲2.2
6	Mark JankowskiFCAR	CAR	60.4%	656	2.51	1.64	60.5%	0.2%
7	Devon ToewsDCOL	COL	59.8%	1,189	3.30	2.22	59.8%	60%▼2.3
8	Brock NelsonFCOL	COL	59.8%	1,085	3.20	2.15	60.0%	87%▼4
9	Dylan CozensFOTT	OTT	59.7%	1,053	2.87	1.94	59.3%	90%▲3.6
10	Valeri NichushkinFCOL	COL	59.6%	948	3.18	2.15	59.8%	60%
11	Jack EichelFVGK	VGK	59.6%	1,081	3.22	2.18	60.0%	99%▲1.4
12	Brandon HagelFTBL	TBL	59.6%	985	3.60	2.44	59.8%	100%▲1.9
13	Nathan MacKinnonFCOL	COL	59.5%	1,313	3.63	2.47	59.6%	100%▲0.8
14	Artturi LehkonenFCOL	COL	59.3%	998	3.38	2.32	59.4%	54%▲37
15	Shayne GostisbehereDCAR	CAR	59.2%	827	3.10	2.14	59.4%	96%▲16
16	Jack DruryFCOL	COL	58.9%	978	2.48	1.73	59.5%	5.6%▲5.4
17	William CarrierFCAR	CAR	58.8%	741	2.51	1.76	58.8%	0.1%
18	Logan StankovenFCAR	CAR	58.5%	1,089	3.22	2.28	58.6%	67%▲42
19	Claude GirouxFOTT	OTT	58.5%	979	2.71	1.92	58.1%	30%▲20
20	Mattias EkholmDEDM	EDM	58.4%	1,432	3.27	2.33	58.4%	77%▲9.7
21	Danton HeinenFCBJ/PIT	CBJ/PIT	58.4%	498	2.37	1.69	58.4%	0.0%
22	Evan BouchardDEDM	EDM	58.4%	1,466	3.31	2.36	58.3%	100%
23	Gabriel LandeskogFCOL	COL	58.3%	793	3.37	2.41	58.5%	50%▲32
24	Jackson BlakeFCAR	CAR	57.8%	1,097	3.22	2.35	57.7%	68%▲21
25	Parker KellyFCOL	COL	57.6%	852	2.44	1.80	58.0%	11%▲5.7
26	Ross ColtonFCOL	COL	57.6%	842	3.02	2.22	58.1%	8.1%▲7.8
27	Cale MakarDCOL	COL	57.4%	1,300	3.06	2.27	57.3%	100%▲1
28	Jake SandersonDOTT	OTT	57.4%	1,139	2.65	1.97	57.0%	99%▲3.2
29	Nikita KucherovFTBL	TBL	57.2%	1,115	3.42	2.56	57.2%	100%
30	Ivan BarbashevFVGK	VGK	57.2%	1,213	2.98	2.23	57.3%	67%▲26
31	Hendrix LapierreFWSH	WSH	57.1%	638	2.62	1.97	57.3%	7.3%▲7.2
32	Clayton KellerFUTA	UTA	57.1%	1,208	2.95	2.22	57.1%	100%▲2
33	Shea TheodoreDVGK	VGK	57.0%	1,283	2.79	2.10	57.4%	91%▲28
34	Roope HintzFDAL	DAL	57.0%	669	2.52	1.90	57.1%	85%▲7.6
35	Anthony CirelliFTBL	TBL	56.9%	874	3.27	2.48	57.0%	51%▲19
36	Mitch MarnerFVGK	VGK	56.9%	1,107	2.66	2.02	57.0%	99%▲1.1
37	Robert ThomasFSTL	STL	56.9%	899	2.98	2.26	57.2%	93%▲20
38	K'Andre MillerDCAR	CAR	56.8%	1,332	2.94	2.23	56.9%	64%▲26
39	Kaedan KorczakDVGK	VGK	56.8%	1,186	2.55	1.94	57.0%	6.7%▲6.5
40	Denver BarkeyFPHI	PHI	56.7%	497	2.45	1.87	56.7%	15%▲14
41	Joel NystromDCAR	CAR	56.7%	522	3.00	2.29	57.0%	4.0%▲4
42	Drake BathersonFOTT	OTT	56.7%	1,039	2.72	2.08	56.5%	97%▲7.4
43	Gage GoncalvesFTBL	TBL	56.7%	857	2.54	1.94	57.4%	11%▲11
44	Josh MansonDCOL	COL	56.7%	1,212	2.81	2.15	56.9%	32%▲16
45	Martin NecasFCOL	COL	56.6%	1,269	3.27	2.51	56.8%	100%▲1.3
46	Connor McDavidFEDM	EDM	56.6%	1,389	3.37	2.58	56.5%	100%▲1.5
47	Eric RobinsonFCAR	CAR	56.6%	684	2.55	1.96	56.4%	3.2%▲3.1
48	Jason RobertsonFDAL	DAL	56.5%	1,230	2.93	2.25	56.4%	100%▲0.5
49	Taylor HallFCAR	CAR	56.5%	1,002	3.10	2.39	56.5%	28%▲21
50	Noah HanifinDVGK	VGK	56.4%	1,347	2.60	2.00	56.8%	52%▼23
51	Thomas ChabotDOTT	OTT	56.4%	997	2.84	2.19	56.4%	83%▼11
52	Fabian ZetterlundFOTT	OTT	56.4%	940	2.79	2.15	56.5%	13%▲6.6
53	Darren RaddyshDTBL	TBL	56.4%	1,230	2.89	2.23	56.4%	100%▲3.5
54	Nick CousinsFOTT	OTT	56.4%	916	2.34	1.81	56.2%	0.1%
55	Michael CarconeFUTA	UTA	56.3%	915	2.77	2.14	56.2%	5.0%▲4
56	Kailer YamamotoFUTA	UTA	56.3%	661	2.52	1.95	56.2%	0.2%
57	Adam FoxDNYR	NYR	56.3%	1,014	2.59	2.02	56.2%	99%▲6.5
58	Samuel GirardDCOL/PIT	COL/PIT	56.2%	1,003	2.82	2.19	56.7%	8.2%▲7.8
59	Maxwell CrozierDTBL	TBL	56.2%	503	2.57	2.00	56.4%	5.6%▲5.5
60	Damon SeversonDCBJ	CBJ	56.2%	1,319	2.77	2.16	56.3%	9.4%▲6.2
61	Nikolaj EhlersFCAR	CAR	56.1%	1,045	2.85	2.23	56.5%	93%▲7.9
62	Barrett HaytonFUTA	UTA	56.1%	821	2.66	2.08	56.3%	11%▲11
63	Sean WalkerDCAR	CAR	56.0%	1,458	2.89	2.27	56.1%	60%▼11
64	Lane HutsonDMTL	MTL	56.0%	1,505	2.93	2.30	55.9%	99%▲3.1
65	Miro HeiskanenDDAL	DAL	56.0%	1,331	2.52	1.98	56.1%	100%▲4.5
66	Tommy NovakFPIT	PIT	55.9%	1,021	3.14	2.48	55.6%	11%▲9.1
67	Charle-Edouard D'AstousDTBL	TBL	55.9%	1,153	2.60	2.05	56.6%	22%▲17
68	Nick SchmaltzFUTA	UTA	55.9%	1,162	2.76	2.18	55.8%	94%▲4.7
69	Brayden McNabbDVGK	VGK	55.8%	1,092	2.64	2.09	56.1%	23%▲20
70	Mike ReillyDCAR	CAR	55.8%	568	2.82	2.24	55.8%	0.1%
71	Pavel DorofeyevFVGK	VGK	55.8%	1,094	2.51	1.99	56.4%	92%▲1.7
72	Jaccob SlavinDCAR	CAR	55.8%	664	2.62	2.07	55.6%	15%▲3.8
73	Troy TerryFANA	ANA	55.7%	805	3.02	2.40	55.3%	47%▲34
74	Zach HymanFEDM	EDM	55.6%	889	3.34	2.67	55.6%	98%▼1.4
75	Nate SchmidtDUTA	UTA	55.5%	1,361	2.79	2.24	55.3%	4.9%▲4.5
76	Ben HuttonDVGK	VGK	55.5%	782	2.63	2.11	55.8%	—
77	David PerronFOTT/DET	OTT/DET	55.5%	741	2.31	1.85	55.3%	0.2%
78	Tim StützleFOTT	OTT	55.4%	1,083	2.83	2.27	55.1%	100%▲0.8
79	Leon DraisaitlFEDM	EDM	55.4%	1,041	3.06	2.47	55.3%	100%
80	John MarinoDUTA	UTA	55.3%	1,424	2.63	2.13	55.2%	18%▲13
81	Leo CarlssonFANA	ANA	55.3%	948	3.07	2.48	55.4%	94%▲10
82	Brandon SaadFVGK	VGK	55.3%	598	2.63	2.13	55.7%	—
83	Mackie SamoskevichFFLA	FLA	55.1%	925	2.64	2.15	55.7%	—
84	Tom WilsonFWSH	WSH	55.1%	961	2.90	2.36	55.1%	95%▲6.5
85	Sebastian AhoFCAR	CAR	55.1%	1,051	3.25	2.64	55.1%	99%▲0.9
86	Josh NorrisFBUF	BUF	55.1%	514	2.76	2.24	55.0%	39%▲32
87	Mavrik BourqueFDAL	DAL	55.1%	1,129	2.61	2.13	55.2%	35%▲31
88	Brent BurnsDCOL	COL	55.1%	1,269	2.87	2.34	55.3%	50%▼14
89	Trevor ZegrasFPHI	PHI	55.0%	1,175	2.88	2.35	54.9%	86%▲19
90	J.J. MoserDTBL	TBL	55.0%	1,407	2.86	2.34	55.2%	22%▲20
91	Chris KreiderFANA	ANA	54.9%	935	2.96	2.43	55.0%	62%▲29
92	Owen TippettFPHI	PHI	54.9%	1,062	2.57	2.11	54.7%	78%▼6.7
93	Jake GuentzelFTBL	TBL	54.9%	1,107	2.89	2.37	55.2%	100%
94	Dylan HollowayFSTL	STL	54.9%	863	2.83	2.33	55.2%	95%▲9.2
95	Jesper BrattFNJD	NJD	54.9%	1,139	3.05	2.51	54.8%	96%▲11
96	Drew DoughtyDLAK	LAK	54.8%	1,335	2.39	1.97	54.7%	21%▲11
97	Zach WerenskiDCBJ	CBJ	54.8%	1,551	2.87	2.37	55.0%	100%
98	Tyler KlevenDOTT	OTT	54.8%	1,071	2.43	2.00	54.5%	8.0%▲7.9
99	Michael AmadioFOTT	OTT	54.8%	1,156	2.37	1.96	54.7%	3.3%▲2.6
100	Tomas HertlFVGK	VGK	54.7%	1,025	2.56	2.12	55.2%	83%▲2.9

Minimum sample: 492 min (it scales with games played and sequence coverage). 338 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