Counting stats

NHL Power-Play Points per 60 Leaders

2018-19All situationsThrough 84 team games

This board ranks skaters by power-play points per 60 minutes of ice time in all situations, so a fourth-liner who plays 9 minutes is compared fairly with a top-pair defenseman who plays 25. Players under the minimum-minutes cutoff are hidden.

Power-play points are goals and assists scored with the man advantage. They belong almost entirely to first-unit (PP1) players, so the board doubles as a map of who runs each power play. Rates surface low-minute players who already produce; they are the ones to grab when an injury opens up ice time.

Leader in 2018-19: Nikita Kucherov (TBL), 1.76 PPP/60.

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

2018-19

2022-23 2021-22 2020-21 2019-20 2018-19 2017-18

593 qualified

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NHL Power-Play Points per 60 Leaders, 2018-19, All situations
#	Player	Team	PPP/60		PPP	GP
1	Nikita KucherovFTBL	TBL	1.76	1,637	48	82	100%
2	David PastrnakFBOS	BOS	1.60	1,238	33	66	100%▲1.1
3	Steven StamkosFTBL	TBL	1.60	1,501	40	82	94%▼4.2
4	Phil KesselFPIT	PIT	1.47	1,474	36	82	—
5	Mike HoffmanFFLA	FLA	1.44	1,463	35	82	—
6	Brayden PointFTBL	TBL	1.41	1,495	35	79	95%▲7.5
7	Patrice BergeronFBOS	BOS	1.35	1,200	27	65	—
8	Torey KrugDBOS	BOS	1.32	1,363	30	64	0.0%
9	Jonathan HuberdeauFFLA	FLA	1.32	1,546	34	82	17%▲12
10	Brad MarchandFBOS	BOS	1.32	1,550	34	79	73%▲0.7
11	Mikko RantanenFCOL	COL	1.28	1,542	33	74	99%▲0.5
12	Keith YandleDFLA	FLA	1.27	1,840	39	82	—
13	Nathan MacKinnonFCOL	COL	1.23	1,812	37	82	100%▲0.9
14	Evgeni MalkinFPIT	PIT	1.22	1,279	26	68	82%▲11
15	Blake WheelerFWPG	WPG	1.13	1,698	32	82	—
16	Connor McDavidFEDM	EDM	1.11	1,781	33	78	100%▲1.5
17	Taylor HallFNJD	NJD	1.11	650	12	33	28%▲20
18	J.T. MillerFTBL	TBL	1.09	1,100	20	75	92%▲7.7
19	Alex GalchenyukFARI	ARI	1.06	1,133	20	72	—
20	Gabriel LandeskogFCOL	COL	1.05	1,544	27	73	50%▲32
21	Sidney CrosbyFPIT	PIT	1.05	1,658	29	79	100%▲2.4
22	Kevin LabancFSJS	SJS	1.04	1,150	20	82	—
23	Matthew TkachukFCGY	CGY	1.02	1,408	24	80	100%▲2.6
24	Elias PetterssonFVAN	VAN	1.02	1,294	22	71	87%▼5.5
25	Aleksander BarkovFFLA	FLA	1.01	1,833	31	82	97%▲7
26	Mats ZuccarelloFDAL	DAL	1.01	953	16	48	51%▲29
27	Alexander RadulovFDAL	DAL	1.00	1,385	23	70	—
28	Alex DeBrincatFCHI	CHI	0.99	1,451	24	82	100%▲2.5
29	Alex OvechkinFWSH	WSH	0.99	1,695	28	81	96%▲1.2
30	Jack EichelFBUF	BUF	0.99	1,574	26	77	99%▲1.4
31	Patrick KaneFCHI	CHI	0.99	1,822	30	81	80%▲0.9
32	John CarlsonDWSH	WSH	0.99	2,005	33	80	99%▲2.4
33	Patrik LaineFWPG	WPG	0.98	1,413	23	82	9.7%▲9.2
34	Evgeny KuznetsovFWSH	WSH	0.97	1,428	23	76	—
35	Mathew DumbaDMIN	MIN	0.96	748	12	32	0.1%
36	Tyler SeguinFDAL	DAL	0.95	1,701	27	82	22%▲19
37	Auston MatthewsFTOR	TOR	0.95	1,262	20	68	99%
38	Johnny GaudreauFCGY	CGY	0.95	1,646	26	82	—
39	Ryan Nugent-HopkinsFEDM	EDM	0.95	1,648	26	82	77%▲15
40	Vladimir TarasenkoFSTL	STL	0.94	1,398	22	76	10%▲1
41	Victor HedmanDTBL	TBL	0.94	1,594	25	70	93%▲11
42	Nicklas BackstromFWSH	WSH	0.94	1,596	25	80	—
43	Leon DraisaitlFEDM	EDM	0.94	1,852	29	82	100%
44	Teuvo TeravainenFCAR	CAR	0.94	1,469	23	82	13%▲8.6
45	Dustin ByfuglienDWPG	WPG	0.94	1,023	16	42	—
46	Elias LindholmFCGY	CGY	0.92	1,623	25	81	43%▲4.7
47	Sean MonahanFCGY	CGY	0.89	1,486	22	78	19%▲13
48	Tyson BarrieDCOL	COL	0.88	1,699	25	78	—
49	Joe PavelskiFSJS	SJS	0.88	1,428	21	75	—
50	Erik KarlssonDSJS	SJS	0.88	1,298	19	53	95%
51	Sebastian AhoFCAR	CAR	0.87	1,652	24	82	99%▲1.2
52	David PerronFSTL	STL	0.86	974	14	57	0.2%
53	Mika ZibanejadFNYR	NYR	0.85	1,686	24	82	98%▲1.4
54	Mikael GranlundFNSH	NSH	0.83	1,449	20	79	52%▼12
55	Mikko KoivuFMIN	MIN	0.82	878	12	48	—
56	Claude GirouxFPHI	PHI	0.82	1,759	24	82	30%▲20
57	Brent BurnsDSJS	SJS	0.82	2,058	28	82	50%▼14
58	Kyle PalmieriFNJD	NJD	0.80	1,343	18	74	19%▲10
59	Pavel BuchnevichFNYR	NYR	0.80	971	13	64	36%▲7.6
60	Jonathan ToewsFCHI	CHI	0.80	1,723	23	82	0.3%
61	Bobby RyanFOTT	OTT	0.78	1,223	16	78	—
62	Mark StoneFVGK	VGK	0.78	1,531	20	77	93%▲9.6
63	Jakub VoracekFPHI	PHI	0.78	1,456	19	78	—
64	Micheal FerlandFCAR	CAR	0.78	1,001	13	71	—
65	Ryan O'ReillyFSTL	STL	0.78	1,702	22	82	84%▲5
66	Alexander KerfootFCOL	COL	0.78	1,161	15	78	3.2%▲3.1
67	Mitch MarnerFTOR	TOR	0.78	1,625	21	82	99%▲1.3
68	Brad HuntDMIN	MIN	0.77	625	8	42	—
69	John KlingbergDDAL	DAL	0.76	1,570	20	64	0.2%
70	Clayton KellerFARI	ARI	0.76	1,495	19	82	100%▲2.1
71	Dylan StromeFCHI	CHI	0.76	1,260	16	78	83%▲11
72	Alexander EdlerDVAN	VAN	0.74	1,376	17	56	—
73	Joe ThorntonFSJS	SJS	0.74	1,135	14	73	—
74	Mark ScheifeleFWPG	WPG	0.74	1,793	22	82	99%
75	Mathew BarzalFNYI	NYI	0.73	1,470	18	82	84%▲11
76	Thomas VanekFDET	DET	0.73	903	11	64	—
77	John TavaresFTOR	TOR	0.73	1,565	19	82	96%▲9.3
78	Alex ChiassonFEDM	EDM	0.73	1,239	15	73	—
79	Kyle ConnorFWPG	WPG	0.72	1,579	19	82	99%▲1.1
80	Vincent TrocheckFFLA	FLA	0.72	1,081	13	55	88%▼5.4
81	Logan CoutureFSJS	SJS	0.72	1,506	18	81	—
82	Jason SpezzaFDAL	DAL	0.71	1,009	12	76	—
83	James van RiemsdykFPHI	PHI	0.71	1,096	13	66	0.3%
84	Jonathan DrouinFMTL	MTL	0.70	1,371	16	81	0.5%
85	Henrik BorgstromFFLA	FLA	0.70	600	7	50	—
86	Zach PariseFMIN	MIN	0.69	1,381	16	74	—
87	Rasmus DahlinDBUF	BUF	0.69	1,735	20	82	100%▲1
88	Artemi PanarinFCBJ	CBJ	0.69	1,569	18	79	97%▼1.8
89	Anders LeeFNYI	NYI	0.69	1,401	16	82	29%▼20
90	Brock BoeserFVAN	VAN	0.68	1,322	15	69	64%▼4.5
91	Evgenii DadonovFFLA	FLA	0.68	1,506	17	82	0.1%
92	Nino NiederreiterFCAR	CAR	0.68	1,330	15	82	4.0%▲3.8
93	Kris LetangDPIT	PIT	0.68	1,687	19	65	47%▼16
94	Patric HornqvistFPIT	PIT	0.67	1,068	12	69	—
95	Nick SchmaltzFARI	ARI	0.67	713	8	40	94%▲4.4
96	David KrejciFBOS	BOS	0.67	1,432	16	81	—
97	Mark GiordanoDCGY	CGY	0.67	1,891	21	78	—
98	Morgan RiellyDTOR	TOR	0.66	1,896	21	82	76%▼5.1
99	Nazem KadriFTOR	TOR	0.66	1,182	13	73	71%▼9
100	T.J. OshieFWSH	WSH	0.65	1,284	14	69	—

Minimum sample: 504 minutes (it scales with games played). 313 below the minimum are hidden.

How to read it

Power-Play Points per 60 minutes of ice time, all situations.

How reliable is it?

Rates settle faster than totals but need minutes: early in the season, low-minute players swing the most.

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