Counting stats

NHL Power-Play Points per 60 Leaders

2026-27All situationsThrough 3 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 2026-27: Dylan Guenther (UTA), 9.55 PPP/60.

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

Older seasons

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

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

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NHL Power-Play Points per 60 Leaders, 2026-27, All situations
#	Player	Team	PPP/60		PPP	GP
1	Dylan GuentherFUTA	UTA	9.55	31	5	2	99%▲1.7
2	Cole PerfettiFWPG	WPG	7.00	34	4	2	37%▲33
3	Kyle ConnorFWPG	WPG	5.85	41	4	2	99%▲1.1
4	Logan CooleyFUTA	UTA	5.47	33	3	2	94%▲9.3
5	Bobby BrinkFMIN	MIN	5.24	23	2	2	14%▲12
6	Clayton KellerFUTA	UTA	5.17	35	3	2	100%▲2.1
7	Brock NelsonFCOL	COL	5.08	35	3	2	88%▼3.6
8	Hendrix LapierreFPIT	PIT	4.92	24	2	2	8.1%▲8
9	Tommy NovakFPIT	PIT	3.90	31	2	2	11%▲9.1
10	Gabriel VilardiFWPG	WPG	3.52	34	2	2	80%▲7.7
11	Jordan EberleFSEA	SEA	3.43	35	2	2	30%▲2.7
12	Evgeni MalkinFPIT	PIT	3.38	35	2	2	82%▲11
13	Nazem KadriFCOL	COL	3.30	36	2	2	71%▼9
14	Vasily PodkolzinFEDM	EDM	3.17	57	3	3	70%▲61
15	Artturi LehkonenFCOL	COL	3.09	39	2	2	57%▲40
16	Devon ToewsDCOL	COL	3.08	39	2	2	62%▼1
17	Erik KarlssonDPIT	PIT	3.03	40	2	2	95%
18	Sebastian AhoFCAR	CAR	3.00	60	3	3	99%▲1.2
19	Jack EichelFVGK	VGK	2.99	40	2	2	99%▲1.4
20	Adrian KempeFLAK	LAK	2.90	41	2	2	97%▼0.6
21	Nils HoglanderFNSH	NSH	2.71	22	1	2	4.0%▲3.9
22	Macklin CelebriniFSJS	SJS	2.69	45	2	2	100%▲1
23	Mikhail SergachevDUTA	UTA	2.67	45	2	2	98%▲5.2
24	Josh MorrisseyDWPG	WPG	2.56	47	2	2	99%▲3.2
25	Dmitri VoronkovFCBJ	CBJ	2.55	24	1	2	19%▲17
26	Tyler ToffoliFSJS	SJS	2.51	24	1	2	38%▼18
27	Ryan HartmanFMIN	MIN	2.46	24	1	2	40%▼17
28	Danila YurovFMIN	MIN	2.38	25	1	2	32%▲31
29	Brock BoeserFVAN	VAN	2.30	52	2	3	64%▼4.5
30	Lars EllerFFLA	FLA	2.26	27	1	2	0.2%
31	Andrei SvechnikovFCAR	CAR	2.22	54	2	3	97%▲8.8
32	Jaden SchwartzFCOL	COL	2.22	27	1	2	11%▲11
33	Victor OlofssonFVGK	VGK	2.21	27	1	2	14%▲14
34	Blake ColemanFMIN	MIN	2.20	27	1	2	38%▼24
35	Lawson CrouseFUTA	UTA	2.08	29	1	2	36%▲13
36	Ivar StenbergFSJS	SJS	2.05	29	1	2	82%▲45
37	Elias PetterssonFVAN	VAN	2.02	59	2	3	87%▼5.5
38	Alexander KerfootFNSH	NSH	2.02	30	1	2	3.2%▲3.1
39	Jackson BlakeFCAR	CAR	2.01	60	2	3	69%▲21
40	Maxim ShabanovFMIN	MIN	2.00	30	1	2	26%▲25
41	Matt CoronatoFCGY	CGY	1.98	30	1	2	40%▲6.3
42	Eetu LuostarinenFFLA	FLA	1.97	30	1	2	12%▲10
43	Dylan StromeFWSH	WSH	1.92	31	1	2	83%▲11
44	Joel FarabeeFCGY	CGY	1.89	32	1	2	11%▲6.4
45	Jared McCannFSEA	SEA	1.85	32	1	2	72%▲1.9
46	Sean MonahanFCBJ	CBJ	1.85	32	1	2	19%▲13
47	Valeri NichushkinFCBJ	CBJ	1.84	33	1	2	60%
48	Leon DraisaitlFEDM	EDM	1.83	66	2	3	100%
49	Tomas HertlFVGK	VGK	1.81	33	1	2	84%▲3.2
50	Matthew KniesFCBJ	CBJ	1.77	34	1	2	95%▲14
51	Bobby McMannFSEA	SEA	1.76	34	1	2	44%▲1
52	Charlie CoyleFCBJ	CBJ	1.74	34	1	2	49%▼11
53	Zayne ParekhDCGY	CGY	1.72	35	1	2	68%▲55
54	Egor ChinakhovFPIT	PIT	1.72	35	1	2	48%▲39
55	Chandler StephensonFSEA	SEA	1.71	35	1	2	17%▲13
56	Connor McDavidFEDM	EDM	1.69	71	2	3	100%▲1.5
57	Nick SchmaltzFUTA	UTA	1.67	36	1	2	94%▲4.4
58	Nathan MacKinnonFCOL	COL	1.67	36	1	2	100%▲0.9
59	Rickard RakellFPIT	PIT	1.62	37	1	2	83%▲11
60	Mats ZuccarelloFLAK	LAK	1.61	37	1	2	51%▲29
61	Viktor ArvidssonFDET	DET	1.59	38	1	2	33%▲23
62	Joel Eriksson EkFMIN	MIN	1.57	38	1	2	82%▲10
63	Kris LetangDPIT	PIT	1.57	38	1	2	47%▼16
64	Cale MakarDCOL	COL	1.57	38	1	2	100%▲1
65	Steven StamkosFNSH	NSH	1.55	39	1	2	94%▼4.2
66	Will SmithFSJS	SJS	1.55	39	1	2	95%▲23
67	Brandt ClarkeDLAK	LAK	1.51	40	1	2	96%▲10
68	Kirill KaprizovFMIN	MIN	1.51	40	1	2	98%▼0.9
69	Bo HorvatFNYI	NYI	1.46	41	1	2	90%▲1.2
70	Ryan O'ReillyFNSH	NSH	1.45	41	1	2	84%▲5
71	Easton CowanFTOR	TOR	1.45	41	1	3	52%▲49
72	Quinton ByfieldFLAK	LAK	1.44	42	1	2	86%▲18
73	Aaron EkbladDFLA	FLA	1.43	42	1	2	50%▲34
74	Gabe PerreaultFNYR	NYR	1.41	43	1	3	53%▲47
75	Artemi PanarinFLAK	LAK	1.41	43	1	2	97%▼1.8
76	Luca CagnoniDSJS	SJS	1.41	43	1	2	56%▲53
77	Mitch MarnerFVGK	VGK	1.37	44	1	2	99%▲1.3
78	Will CuylleFNYR	NYR	1.36	44	1	3	64%
79	Vince DunnDSEA	SEA	1.35	44	1	2	89%▲12
80	Andrew CoppFDET	DET	1.30	46	1	2	9.2%▲7.8
81	Shea TheodoreDVGK	VGK	1.30	46	1	2	91%▲28
82	Jakob ChychrunDWSH	WSH	1.30	46	1	2	99%
83	Pavel DorofeyevFNYR	NYR	1.28	47	1	3	92%▲1.8
84	Jack RoslovicFTOR	TOR	1.25	48	1	3	34%▲26
85	Matthew SchaeferDNYI	NYI	1.24	48	1	2	100%
86	Roman JosiDNSH	NSH	1.21	50	1	2	98%▼0.5
87	Quinn HughesDMIN	MIN	1.20	50	1	2	100%
88	Marco RossiFVAN	VAN	1.19	50	1	3	60%▲14
89	Moritz SeiderDDET	DET	1.18	51	1	2	100%▲0.6
90	John TavaresFTOR	TOR	1.16	52	1	3	96%▲9.3
91	Nikolaj EhlersFCAR	CAR	1.15	52	1	3	93%▲7.5
92	Kasperi KapanenFEDM	EDM	1.10	55	1	3	9.2%▲9
93	Shayne GostisbehereDCAR	CAR	1.04	57	1	3	96%▲16
94	Kirill MarchenkoFTOR	TOR	1.04	58	1	3	98%▲7.4
95	Mika ZibanejadFNYR	NYR	1.02	59	1	3	98%▲1.4
96	Morgan RiellyDTOR	TOR	1.01	60	1	3	76%▼5.1
97	Adam FoxDNYR	NYR	0.99	60	1	3	99%▲6.8
98	Zach WerenskiDCBJ	CBJ	0.99	60	1	2	100%
99	Sean DurziDNYR	NYR	0.95	63	1	3	38%▲36
100	Darren RaddyshDTOR	TOR	0.89	67	1	3	99%▲3.2

Minimum sample: 18 minutes (it scales with games played). 79 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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