More skater stats

NHL Power-Play Goals per 60 Leaders

2024-25All situationsThrough 82 team games

This board ranks skaters by power-play goals per 60 minutes of ice time in all situations, so players with different roles are compared fairly. Players under the minimum-minutes cutoff are hidden.

Power-play goals are scored while the team has more skaters on the ice than the opponent. The leaders are the trigger men of first power-play units: the one-timer from the left circle, the net-front tip. Rates surface low-minute players who already produce power-play goals; they gain the most when their ice time grows.

Leader in 2024-25: Patrik Laine (MTL), 1.21 PPG/60.

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

Older seasons

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

Completed seasons use the NHL's official power-play and shorthanded totals.

613 qualified

Show

NHL Power-Play Goals per 60 Leaders, 2024-25, All situations
#	Player	Team	PPG/60		PPG	GP
1	Patrik LaineFMTL	MTL	1.21	744	15	52	25th	45th	9.7%▲9.2
2	Alex OvechkinFWSH	WSH	0.73	1,152	14	65	57th	60th	96%▲1.2
3	Matthew TkachukFFLA	FLA	0.70	948	11	52	95th	80th	100%▲2.6
4	Tomas HertlFVGK	VGK	0.67	1,250	14	73	89th	31st	84%▲3.2
5	Brayden PointFTBL	TBL	0.64	1,500	16	77	91st	63rd	95%▲7.5
6	Brady TkachukFOTT	OTT	0.64	1,313	14	72	55th	76th	100%▲2
7	Jake GuentzelFTBL	TBL	0.64	1,599	17	80	88th	76th	100%
8	Leon DraisaitlFEDM	EDM	0.63	1,528	16	71	99th	70th	100%
9	Jake DeBruskFVAN	VAN	0.62	1,365	14	82	56th	67th	49%▼20
10	Dylan GuentherFUTA	UTA	0.61	1,190	12	70	79th	32nd	99%▲1.7
11	Pavel DorofeyevFVGK	VGK	0.58	1,355	13	82	89th	37th	92%▲1.8
12	Steven StamkosFNSH	NSH	0.57	1,476	14	82	51st	63rd	94%▼4.2
13	Jason ZuckerFBUF	BUF	0.57	1,168	11	73	39th	65th	23%▲17
14	Kevin FialaFLAK	LAK	0.56	1,500	14	81	95th	31st	67%▼8.3
15	Michael BuntingFPIT/NSH	PIT/NSH	0.56	1,180	11	76	34th	81st	3.7%▲1
16	Gabriel VilardiFWPG	WPG	0.56	1,288	12	71	79th	73rd	80%▲7.7
17	Patrick KaneFDET	DET	0.56	1,295	12	72	39th	63rd	80%▲0.9
18	Nico HischierFNJD	NJD	0.55	1,529	14	75	86th	84th	97%▲2.3
19	Alex DeBrincatFDET	DET	0.53	1,465	13	82	36th	77th	100%▲2.5
20	Stefan NoesenFNJD	NJD	0.53	1,243	11	78	82nd	49th	0.1%
21	John TavaresFTOR	TOR	0.53	1,367	12	75	70th	67th	96%▲9.3
22	Drake BathersonFOTT	OTT	0.52	1,488	13	82	49th	66th	97%▲7.2
23	Andrei SvechnikovFCAR	CAR	0.49	1,232	10	72	97th	56th	97%▲8.8
24	Sam ReinhartFFLA	FLA	0.48	1,620	13	79	98th	96th	99%
25	Martin NecasFCAR/COL	CAR/COL	0.48	1,501	12	79	96th	51st	100%▲1.8
26	Dylan LarkinFDET	DET	0.47	1,646	13	82	40th	97th	96%
27	Tyler BertuzziFCHI	CHI	0.46	1,312	10	82	5th	89th	62%▼3.5
28	Zachary BolducFSTL	STL	0.46	922	7	72	62nd	17th	21%▲19
29	William NylanderFTOR	TOR	0.45	1,600	12	82	68th	60th	99%▼0.8
30	Victor OlofssonFVGK	VGK	0.44	812	6	56	91st	15th	14%▲14
31	Sidney CrosbyFPIT	PIT	0.44	1,630	12	80	35th	98th	100%▲2.4
32	Auston MatthewsFTOR	TOR	0.44	1,372	10	67	84th	90th	99%
33	Tom WilsonFWSH	WSH	0.44	1,517	11	81	70th	86th	94%▲6.3
34	Wyatt JohnstonFDAL	DAL	0.43	1,552	11	82	63rd	76th	100%▲0.9
35	Sean MonahanFCBJ	CBJ	0.41	1,027	7	54	48th	86th	19%▲13
36	Cole CaufieldFMTL	MTL	0.40	1,482	10	82	37th	92nd	100%▲1.2
37	David PerronFOTT	OTT	0.40	603	4	43	47th	46th	0.2%
38	Aleksander BarkovFFLA	FLA	0.40	1,357	9	67	99th	92nd	97%▲7
39	Connor BedardFCHI	CHI	0.40	1,663	11	82	6th	97th	98%▲3.6
40	Brock BoeserFVAN	VAN	0.40	1,362	9	75	55th	61st	64%▼4.5
41	Mark ScheifeleFWPG	WPG	0.39	1,676	11	82	80th	78th	99%
42	Filip ForsbergFNSH	NSH	0.39	1,527	10	82	47th	87th	99%▲1.7
43	Dmitri VoronkovFCBJ	CBJ	0.39	1,225	8	73	42nd	77th	19%▲17
44	Clayton KellerFUTA	UTA	0.39	1,549	10	81	85th	57th	100%▲2.1
45	Jonathan HuberdeauFCGY	CGY	0.38	1,583	10	81	35th	61st	17%▲12
46	Dylan StromeFWSH	WSH	0.38	1,425	9	82	59th	73rd	83%▲11
47	Mikko RantanenFCOL/DAL/CAR	COL/DAL/CAR	0.38	1,742	11	82	93rd	74th	99%▲0.5
48	Shane WrightFSEA	SEA	0.38	1,111	7	79	31st	32nd	27%▲26
49	Jason RobertsonFDAL	DAL	0.37	1,459	9	82	65th	82nd	100%
50	Connor McDavidFEDM	EDM	0.37	1,476	9	67	99th	73rd	100%▲1.5
51	Vinnie HinostrozaFMIN/NSH	MIN/NSH	0.36	495	3	38	44th	48th	0.0%
52	Ryan O'ReillyFNSH	NSH	0.36	1,500	9	79	51st	91st	84%▲5
53	Matvei MichkovFPHI	PHI	0.36	1,335	8	80	71st	20th	86%▲23
54	Nick SchmaltzFUTA	UTA	0.35	1,524	9	82	87th	60th	94%▲4.4
55	Valeri NichushkinFCOL	COL	0.35	849	5	43	88th	61st	60%
56	Elias PetterssonFVAN	VAN	0.35	1,194	7	64	56th	71st	87%▼5.5
57	Josh NorrisFOTT/BUF	OTT/BUF	0.35	1,027	6	56	55th	95th	39%▲32
58	Cale MakarDCOL	COL	0.35	2,057	12	80	96th	77th	100%▲1
59	Macklin CelebriniFSJS	SJS	0.35	1,385	8	70	8th	88th	100%▲1
60	Rickard RakellFPIT	PIT	0.35	1,563	9	81	36th	94th	83%▲11
61	Matt DucheneFDAL	DAL	0.34	1,406	8	82	56th	57th	62%▼17
62	Ross ColtonFCOL	COL	0.34	880	5	61	79th	4th	8.1%▲7.8
63	Nazem KadriFCGY	CGY	0.34	1,587	9	82	32nd	57th	71%▼9
64	Alex IafalloFWPG	WPG	0.33	1,089	6	82	82nd	41st	4.3%▲3
65	Nikolaj EhlersFWPG	WPG	0.33	1,090	6	69	88th	67th	93%▲7.5
66	Joel Eriksson EkFMIN	MIN	0.33	909	5	46	46th	69th	82%▲10
67	Roope HintzFDAL	DAL	0.33	1,284	7	76	70th	83rd	84%▲7.1
68	David PastrnakFBOS	BOS	0.33	1,655	9	82	51st	87th	100%▲1.1
69	Kyle ConnorFWPG	WPG	0.32	1,672	9	82	79th	83rd	99%▲1.1
70	Barrett HaytonFUTA	UTA	0.32	1,320	7	82	86th	38th	11%▲11
71	Sam BennettFFLA	FLA	0.32	1,326	7	76	95th	51st	84%▲4.3
72	Chris KreiderFNYR	NYR	0.32	1,139	6	68	21st	57th	62%▲29
73	Mason MarchmentFDAL	DAL	0.32	951	5	62	56th	49th	47%▲34
74	Logan CooleyFUTA	UTA	0.31	1,340	7	75	83rd	31st	94%▲9.3
75	Lucas RaymondFDET	DET	0.31	1,540	8	82	38th	96th	96%▲10
76	Kevin HayesFPIT	PIT	0.31	771	4	64	26th	19th	0.0%
77	Artemi PanarinFNYR	NYR	0.30	1,575	8	80	28th	88th	97%▼1.8
78	Mitchell ChaffeeFTBL	TBL	0.30	794	4	66	71st	42nd	0.0%
79	Teuvo TeravainenFCHI	CHI	0.30	1,399	7	82	4th	89th	13%▲8.6
80	Nathan MacKinnonFCOL	COL	0.30	1,800	9	79	94th	77th	100%▲0.9
81	Seth JarvisFCAR	CAR	0.30	1,413	7	73	98th	79th	95%▲1.4
82	Tage ThompsonFBUF	BUF	0.29	1,425	7	76	44th	92nd	100%▲1.3
83	Timo MeierFNJD	NJD	0.29	1,429	7	80	85th	70th	82%▼8
84	Jordan KyrouFSTL	STL	0.29	1,434	7	82	72nd	56th	80%▲3.7
85	Nikita KucherovFTBL	TBL	0.29	1,653	8	78	90th	74th	100%
86	Travis KonecnyFPHI	PHI	0.28	1,689	8	82	74th	79th	92%▲9.6
87	Ryan Nugent-HopkinsFEDM	EDM	0.28	1,480	7	78	99th	56th	77%▲15
88	Marco RossiFMIN	MIN	0.28	1,496	7	82	50th	81st	60%▲14
89	Mason McTavishFANA	ANA	0.28	1,283	6	76	6th	84th	51%▲36
90	Conor GarlandFVAN	VAN	0.28	1,511	7	81	54th	49th	10%▲7.4
91	Dylan HollowayFSTL	STL	0.28	1,295	6	77	65th	39th	95%▲9.4
92	Jack HughesFNJD	NJD	0.28	1,296	6	62	85th	94th	100%
93	Evgenii DadonovFDAL	DAL	0.28	1,083	5	80	62nd	61st	0.1%
94	Jake NeighboursFSTL	STL	0.28	1,303	6	82	75th	80th	30%▲26
95	Mika ZibanejadFNYR	NYR	0.27	1,539	7	82	25th	92nd	98%▲1.4
96	Tyler ToffoliFSJS	SJS	0.27	1,321	6	78	8th	83rd	38%▼18
97	Anthony DuclairFNYI	NYI	0.27	662	3	44	68th	98th	3.3%▲3
98	Oskar SundqvistFSTL	STL	0.27	885	4	67	64th	37th	0.0%
99	Jackson BlakeFCAR	CAR	0.27	1,108	5	80	97th	23rd	69%▲21
100	Adrian KempeFLAK	LAK	0.27	1,552	7	81	90th	66th	97%▼0.6

Minimum sample: 492 minutes (it scales with games played). 307 below the minimum are hidden.

How to read it

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

How reliable is it?

Rates need minutes: early in a season, low-minute players swing the most.

About our data sources →

Projected next

Our fantasy projections for power-play goals: who should lead the coming games.

Today →This week →Rest of season →

All NHL leaderboards →

Power-Play Goals per 60 leaderboard

How to read it

How reliable is it?

Projected next

Related leaderboards