NHL Projected Power Play Goals Next Week

Power-play goals are worth extra in many fantasy formats. These projections take each player's projected goals and estimate how many come on the man advantage, based on how much power-play time he has been getting and how often he scores there. Players who play big power-play minutes and finish well rise to the top (Oct 19-25 (Week 4)). (Oct 19-25 (Week 4))

Wednesday, October 14, 2026

Updated 7:27 PM ET(hourly)

2 games • 700 players

Edgehalla model: derived from LineupExperts' goals, assists and ice-time projection plus NHL history.

How the model works

Sorted by Projected Power Play Goals(Oct 19-25 (Week 4))

644 players

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Skaters100 of 644

Player	Team	Pos	Rost%	PPG^† ↓	G	A	PTS	SOG	HIT	BLK	PIM	PPA^†	PPP^†	SHG^†	SHA^†	SHP^†	GWG^†	FOW^†	FOL^†	FO%^†	TK^†	GV^†	+/-^†	TOI	SFT^†	FPTS
Kirill Kaprizov	MIN	LW	98.3%	0.79	2.80	2.40	5.20	13.60	2.20	1.60	1.10	0.67	1.46	0.01	0.00	0.01	0.51	0.27	0.33	-	1.23	4.58	-0.15	88:48	84.17	46.20
Auston Matthews	TOR	C	99.1%	0.74	2.70	3.00	5.60	15.30	2.80	4.40	0.80	0.90	1.64	0.08	0.04	0.12	0.50	37.84	28.31	57.2%	1.49	3.85	0.21	84:30	93.14	50.70
Sam Reinhart	FLA	RW	97.3%	0.64	1.60	1.00	2.60	8.30	3.20	1.60	0.50	0.41	1.05	0.06	0.01	0.07	0.30	5.94	7.12	45.5%	0.91	2.90	-0.04	63:00	70.68	24.80
Nathan MacKinnon	COL	C	99.9%	0.62	2.10	4.10	6.20	17.20	2.30	1.90	2.00	1.30	1.91	0.02	0.02	0.03	0.38	35.62	35.31	50.2%	1.35	5.39	1.40	89:00	95.04	52.00
Cutter Gauthier	ANA	LW	97.4%	0.60	1.90	1.50	3.40	14.20	3.40	1.40	1.60	0.48	1.08	0.02	0.01	0.02	0.25	3.86	4.36	-	1.00	3.33	-0.06	63:30	75.74	33.30
William Nylander	TOR	RW	99.0%	0.59	2.10	3.20	5.30	11.90	0.90	1.10	0.70	0.98	1.57	0.02	0.01	0.03	0.39	2.53	3.24	-	1.48	3.84	0.20	79:54	89.62	39.70
Andrei Svechnikov	CAR	LW	97.7%	0.59	1.50	1.50	3.00	8.10	5.90	0.60	2.20	0.62	1.20	0.00	0.00	0.00	0.26	0.33	0.40	-	0.87	2.84	-0.02	51:54	60.66	26.00
Martin Necas	COL	RW	99.9%	0.57	1.80	2.80	4.60	10.80	3.70	1.10	1.00	0.94	1.51	0.01	0.01	0.02	0.32	1.12	1.15	-	1.33	4.37	1.24	80:54	84.50	37.90
Leon Draisaitl	EDM	C	99.7%	0.52	1.70	2.40	4.10	9.40	1.70	1.00	1.20	0.85	1.37	0.02	0.01	0.03	0.30	27.21	21.85	55.5%	0.99	3.80	-0.59	64:48	70.00	34.80
Leo Carlsson	ANA	C	94.9%	0.51	1.70	2.40	4.10	9.90	0.80	1.90	1.10	0.99	1.50	0.04	0.02	0.05	0.22	21.97	26.55	45.3%	1.16	3.52	-0.07	72:12	84.04	34.30
Cale Makar	COL	D	100.0%	0.50	1.30	3.20	4.50	11.10	1.70	6.00	1.00	1.41	1.91	0.01	0.04	0.06	0.23	0.00	0.00	-	1.59	5.06	1.61	99:54	103.47	42.10
Dylan Guenther	UTA	RW	99.3%	0.50	1.30	1.20	2.40	10.10	2.30	1.00	0.80	0.51	1.01	0.01	0.00	0.01	0.14	0.84	1.01	-	0.81	2.65	-0.10	51:54	63.95	25.50
Alex DeBrincat	DET	LW	98.7%	0.48	1.50	1.40	2.90	10.60	1.60	1.40	1.00	0.42	0.90	0.01	0.00	0.01	0.18	0.86	1.05	-	1.01	2.81	-0.26	55:30	63.47	27.40
Cole Caufield	MTL	LW	99.9%	0.47	1.60	1.20	2.80	10.10	2.00	0.80	0.60	0.41	0.88	0.01	0.00	0.01	0.28	0.32	0.39	-	0.85	2.50	0.49	55:30	62.86	26.30
Matthew Boldy	MIN	RW	100.0%	0.46	1.70	1.80	3.50	13.80	3.70	3.20	1.90	0.56	1.03	0.07	0.03	0.11	0.31	3.03	3.70	-	1.60	4.13	-0.14	84:00	82.93	37.30
Tomas Hertl	VGK	C	86.7%	0.46	1.10	1.10	2.20	6.40	4.30	1.60	0.90	0.42	0.87	0.01	0.00	0.01	0.23	23.57	18.32	56.3%	0.71	2.27	-0.03	49:54	55.86	20.00
Brady Tkachuk	FLA	LW	98.9%	0.45	1.20	1.10	2.30	10.40	9.30	0.70	3.20	0.46	0.91	0.01	0.01	0.02	0.23	7.98	7.34	52.1%	0.80	2.51	-0.03	52:48	70.18	22.60
Sebastian Aho	CAR	C	99.7%	0.45	1.30	2.20	3.50	7.90	2.10	1.10	2.00	0.83	1.28	0.06	0.07	0.13	0.22	24.12	22.11	52.2%	0.90	3.27	-0.03	60:12	69.05	29.00
Macklin Celebrini	SJS	C	100.0%	0.44	1.90	2.90	4.80	14.00	2.30	2.60	1.90	0.90	1.34	0.03	0.02	0.05	0.23	29.73	30.67	49.2%	1.55	5.11	-1.36	82:48	84.26	40.30
Alexis Lafreniere	NYR	RW	89.8%	0.44	1.50	1.30	2.70	7.10	3.40	1.20	0.90	0.35	0.80	0.01	0.00	0.01	0.12	0.73	0.93	-	0.94	2.59	0.73	53:42	64.96	23.40
Tim Stutzle	OTT	C	99.7%	0.44	1.40	2.10	3.40	6.70	5.70	1.90	1.30	0.80	1.24	0.09	0.05	0.14	0.32	13.35	12.02	52.6%	1.03	3.26	0.09	62:18	78.71	27.60
Nick Schmaltz	UTA	RW	97.1%	0.44	1.20	1.30	2.60	8.00	1.30	1.70	0.80	0.43	0.87	0.04	0.02	0.07	0.13	13.64	15.41	47.0%	1.12	2.83	-0.12	57:24	70.67	22.80
John Tavares	TOR	C	95.0%	0.43	1.50	1.90	3.40	9.50	3.80	1.50	1.50	0.59	1.03	0.00	0.00	0.00	0.28	38.19	29.11	56.8%	1.16	3.76	0.18	72:42	84.47	26.90
Bo Horvat	NYI	C	92.4%	0.43	1.40	1.20	2.60	9.20	3.00	1.50	1.20	0.37	0.79	0.06	0.04	0.09	0.15	28.48	22.51	55.9%	0.92	3.12	0.27	61:06	69.85	25.10
Jack Eichel	VGK	C	99.9%	0.41	1.40	2.40	3.70	9.60	1.00	2.00	0.60	1.06	1.47	0.06	0.06	0.11	0.30	22.78	25.34	47.3%	1.11	3.56	-0.04	63:48	66.91	33.00
Connor McDavid	EDM	C	99.7%	0.41	1.50	3.60	5.20	10.40	2.10	1.20	1.40	1.48	1.89	0.06	0.05	0.10	0.26	17.41	17.81	49.4%	1.12	3.73	-0.63	69:06	71.78	40.90
Brandon Hagel	TBL	LW	99.3%	0.41	1.40	1.60	2.90	8.00	1.70	2.00	2.10	0.54	0.94	0.08	0.04	0.12	0.13	0.95	1.17	-	1.17	2.98	-0.07	62:00	70.88	26.60
Jake Guentzel	TBL	LW	99.5%	0.40	1.10	1.50	2.50	6.80	1.30	1.50	1.30	0.62	1.03	0.03	0.02	0.05	0.10	7.61	8.12	48.4%	0.92	2.92	-0.07	60:42	66.39	22.70
Kyle Connor	WPG	LW	98.9%	0.40	1.60	1.70	3.30	9.20	0.90	1.10	0.50	0.45	0.85	0.05	0.03	0.08	0.55	0.05	0.06	-	0.98	2.95	0.18	63:06	67.18	28.40
Matthew Tkachuk	FLA	RW	98.5%	0.38	1.00	2.30	3.30	7.90	4.20	0.50	2.60	1.14	1.52	0.01	0.01	0.02	0.19	0.27	0.33	-	0.92	2.88	-0.03	56:00	62.80	25.60
Steven Stamkos	NSH	C	94.5%	0.38	1.10	1.00	2.10	7.30	3.20	1.20	1.50	0.38	0.76	0.00	0.00	0.00	0.16	11.71	9.91	54.2%	0.89	2.59	-0.38	54:42	62.95	18.40
Drake Batherson	OTT	RW	96.7%	0.38	1.10	1.40	2.40	6.60	5.60	0.90	1.70	0.50	0.88	0.00	0.00	0.01	0.25	0.47	0.54	-	0.90	2.57	0.07	53:24	70.72	20.30
Nikita Kucherov	TBL	RW	99.7%	0.37	1.10	2.70	3.80	7.70	1.00	1.10	1.50	1.18	1.56	0.00	0.00	0.01	0.10	0.08	0.09	-	0.99	3.90	-0.07	63:06	64.60	30.20
Jason Robertson	DAL	LW	99.1%	0.37	1.30	1.80	3.10	11.00	2.30	1.10	1.00	0.61	0.98	0.00	0.00	0.00	0.14	0.10	0.12	-	0.95	3.07	-0.17	57:12	60.23	28.90
Nico Hischier	NJD	C	95.3%	0.37	1.20	1.30	2.60	7.80	1.80	2.30	0.70	0.40	0.77	0.05	0.03	0.09	0.11	35.93	29.53	54.9%	0.95	2.77	-0.15	61:24	70.26	23.80
Tage Thompson	BUF	C	99.5%	0.36	1.20	0.90	2.10	8.30	1.70	1.00	0.80	0.31	0.67	0.02	0.01	0.02	0.29	9.98	11.80	45.8%	0.66	1.92	0.19	38:42	47.08	20.90
Kirill Marchenko	TOR	RW	98.0%	0.36	1.30	2.20	3.60	10.10	3.20	1.70	2.00	0.73	1.09	0.00	0.00	0.00	0.24	0.31	0.37	-	1.35	3.85	0.19	75:36	82.51	31.40
David Pastrnak	BOS	RW	99.8%	0.35	1.30	2.40	3.70	11.10	3.50	0.90	1.60	0.72	1.07	0.01	0.00	0.01	0.16	0.24	0.29	-	0.98	3.96	0.61	60:24	62.25	30.60
Beckett Sennecke	ANA	RW	95.4%	0.35	1.30	1.80	3.10	9.80	4.40	1.40	2.90	0.53	0.87	0.00	0.00	0.01	0.17	0.16	0.19	-	1.23	4.10	-0.07	71:36	83.61	25.70
Brayden Point	TBL	C	94.1%	0.34	1.00	1.20	2.20	6.30	0.50	1.40	0.60	0.42	0.76	0.00	0.00	0.01	0.09	15.24	17.03	47.2%	0.89	2.48	-0.06	57:30	62.63	20.40
Evan Bouchard	EDM	D	99.9%	0.34	0.90	2.30	3.20	8.60	1.30	3.70	1.00	1.06	1.40	0.01	0.03	0.04	0.16	0.00	0.00	-	1.16	4.03	-0.69	73:36	79.50	31.50
Jack Hughes	NJD	C	99.4%	0.34	1.40	2.50	3.80	11.90	0.30	1.60	0.60	0.87	1.21	0.03	0.02	0.05	0.13	9.78	14.97	39.5%	1.13	3.95	-0.16	63:30	64.68	34.00
Wyatt Johnston	DAL	C	99.8%	0.33	1.10	1.60	2.70	8.60	2.10	1.90	1.00	0.50	0.83	0.02	0.01	0.03	0.12	15.18	15.64	49.3%	0.92	2.66	-0.18	59:24	64.06	24.70
Artemi Panarin	LAK	LW	97.4%	0.33	1.20	1.80	3.00	8.60	0.70	0.40	0.80	0.58	0.90	0.00	0.00	0.01	0.19	0.03	0.03	-	0.91	3.21	0.43	61:30	66.02	22.80
Nick Suzuki	MTL	C	99.9%	0.32	1.20	2.30	3.60	7.10	2.80	2.00	0.80	0.77	1.09	0.02	0.02	0.04	0.21	26.76	26.02	50.7%	1.02	3.27	0.57	62:54	67.10	28.40
Viktor Arvidsson	DET	RW	40.7%	0.32	1.00	1.20	2.20	8.60	1.10	1.40	1.10	0.36	0.68	0.01	0.00	0.01	0.12	0.62	0.73	-	0.66	2.19	-0.22	45:24	54.83	21.50
Mark Stone	VGK	RW	94.7%	0.32	1.00	2.00	2.90	5.90	2.00	2.30	0.80	0.85	1.17	0.04	0.03	0.07	0.21	0.29	0.36	-	0.95	2.84	-0.03	58:06	64.14	25.70
Dylan Larkin	DET	C	95.1%	0.32	1.10	1.30	2.50	9.50	1.70	1.20	1.70	0.41	0.72	0.05	0.02	0.07	0.13	31.59	28.27	52.8%	0.94	3.24	-0.30	60:36	72.00	22.90
Will Smith	SJS	RW	94.5%	0.31	1.20	1.90	3.10	9.20	1.00	0.90	0.80	0.53	0.84	0.01	0.00	0.01	0.14	2.88	3.28	-	1.02	3.57	-1.11	69:06	75.59	24.70
Filip Forsberg	NSH	LW	99.1%	0.30	1.00	1.30	2.40	8.90	4.40	1.40	1.30	0.44	0.73	0.00	0.00	0.01	0.15	0.46	0.60	-	1.16	3.39	-0.41	57:30	66.89	21.70
Carter Verhaeghe	FLA	LW	68.1%	0.29	1.00	0.80	1.70	6.40	2.00	0.80	1.10	0.23	0.52	0.00	0.00	0.01	0.19	1.74	2.03	-	0.88	2.63	-0.03	54:42	64.47	16.90
Vasily Podkolzin	EDM	LW	86.3%	0.29	1.00	0.80	1.80	5.80	9.20	1.90	1.70	0.23	0.52	0.02	0.01	0.02	0.17	0.88	1.18	-	0.67	1.96	-0.41	43:48	55.91	19.00
Kyle Palmieri	NYI	RW	14.1%	0.28	1.00	0.90	1.90	6.30	1.90	1.50	1.10	0.27	0.56	0.02	0.01	0.03	0.11	0.45	0.45	-	0.82	2.49	0.23	55:00	65.10	16.90
Mitch Marner	VGK	RW	98.9%	0.28	0.90	2.20	3.10	6.10	1.10	2.00	0.70	0.84	1.12	0.03	0.03	0.06	0.19	3.77	5.06	-	1.26	3.69	-0.04	62:06	67.01	24.00
Morgan Geekie	BOS	LW	94.0%	0.28	1.10	1.40	2.50	5.60	4.40	1.30	0.80	0.40	0.68	0.01	0.00	0.01	0.13	3.73	4.20	-	0.80	2.59	0.53	52:00	56.36	20.20
Brock Nelson	COL	C	86.6%	0.28	1.30	1.40	2.70	8.80	1.70	2.90	1.20	0.34	0.62	0.07	0.04	0.12	0.23	34.14	33.88	50.2%	1.17	3.50	1.29	75:48	94.13	26.40
Adrian Kempe	LAK	RW	96.0%	0.28	1.10	1.30	2.40	8.70	4.40	1.10	1.60	0.38	0.66	0.01	0.01	0.02	0.18	2.06	2.62	-	0.95	2.96	0.42	58:54	67.09	22.50
Roope Hintz	DAL	C	83.0%	0.27	1.00	1.40	2.30	7.40	3.20	1.20	0.90	0.41	0.69	0.01	0.01	0.02	0.11	22.41	17.59	56.0%	0.74	2.55	-0.15	51:24	63.34	22.50
Chris Kreider	MTL	LW	61.6%	0.27	0.90	1.10	1.90	5.30	3.40	0.90	0.90	0.35	0.62	0.01	0.01	0.02	0.16	0.86	1.06	-	0.77	2.30	0.44	50:36	63.29	15.60
Pavel Dorofeyev	NYR	RW	90.9%	0.27	0.90	0.80	1.70	8.80	1.40	1.10	0.70	0.26	0.53	0.00	0.00	0.00	0.07	0.07	0.08	-	0.79	2.44	0.70	51:24	58.43	18.40
Cole Perfetti	WPG	LW	79.8%	0.27	1.00	1.20	2.20	6.10	2.30	1.50	0.70	0.37	0.64	0.00	0.00	0.00	0.34	0.70	0.78	-	0.87	2.25	0.13	47:42	55.40	19.30
Gavin McKenna	TOR	LW	92.5%	0.27	1.20	2.00	3.20	7.80	0.70	1.00	1.80	0.50	0.77	0.00	0.00	0.00	0.22	0.07	0.08	-	0.92	2.96	0.15	59:24	70.03	23.50
Sidney Crosby	PIT	C	98.7%	0.27	1.00	1.40	2.30	7.40	2.40	1.50	1.10	0.40	0.67	0.00	0.00	0.00	0.11	35.30	29.07	54.8%	0.94	3.17	0.34	59:54	68.43	19.20
Juraj Slafkovsky	MTL	RW	97.5%	0.27	0.90	1.60	2.50	7.30	4.50	2.20	1.60	0.52	0.79	0.00	0.00	0.01	0.16	0.88	1.20	-	0.88	2.87	0.49	55:12	60.51	21.70
Nazem Kadri	COL	C	69.5%	0.27	1.00	1.70	2.80	11.00	2.30	1.80	1.50	0.56	0.83	0.01	0.01	0.01	0.18	23.55	26.65	46.9%	1.22	3.96	1.21	76:18	88.72	25.50
Quinn Hughes	MIN	D	99.9%	0.27	0.80	3.90	4.70	10.10	0.60	3.20	1.20	1.62	1.89	0.00	0.00	0.00	0.15	0.00	0.00	-	1.63	5.68	-0.19	108:30	94.99	37.30
Evgeni Malkin	PIT	C	85.2%	0.26	0.90	1.20	2.00	6.90	1.00	1.10	2.20	0.38	0.64	0.00	0.00	0.00	0.10	6.58	7.17	47.9%	0.92	2.94	0.30	54:00	59.52	18.90
Artturi Lehkonen	COL	LW	75.9%	0.26	1.40	1.20	2.60	7.90	2.60	2.20	0.90	0.22	0.48	0.07	0.03	0.10	0.25	0.44	0.56	-	1.18	3.69	1.34	77:36	95.62	26.50
Clayton Keller	UTA	LW	99.9%	0.26	0.80	2.10	2.90	7.90	0.80	1.10	1.40	0.95	1.21	0.00	0.00	0.01	0.09	0.45	0.56	-	0.88	3.15	-0.11	56:30	67.04	23.60
Joel Eriksson Ek	MIN	C	77.8%	0.26	1.00	1.30	2.30	11.70	6.10	2.20	1.40	0.39	0.65	0.03	0.02	0.06	0.18	38.85	39.51	49.6%	1.24	3.48	-0.13	78:42	82.01	28.70
Mikko Rantanen	DAL	RW	98.8%	0.26	1.00	2.10	3.10	7.50	2.20	1.40	2.90	0.69	0.95	0.00	0.00	0.00	0.11	2.70	2.98	-	1.05	3.23	-0.19	63:06	65.25	25.50
Jackson Blake	CAR	RW	80.8%	0.25	0.70	1.70	2.40	6.80	0.60	1.10	1.20	0.76	1.01	0.00	0.00	0.01	0.12	0.23	0.29	-	0.89	2.58	-0.02	48:42	53.73	20.80
Jared McCann	SEA	LW	77.5%	0.25	1.00	1.40	2.40	7.80	1.80	1.20	0.50	0.37	0.62	0.02	0.01	0.03	0.20	1.50	1.78	-	0.78	2.49	-0.06	49:42	65.21	22.30
Luke Evangelista	NJD	RW	70.4%	0.25	0.80	1.50	2.30	7.10	1.00	1.10	1.30	0.52	0.77	0.00	0.00	0.00	0.07	0.03	0.04	-	0.76	2.30	-0.11	46:36	52.32	19.30
Kevin Fiala	LAK	LW	64.0%	0.25	0.90	1.20	2.10	7.80	1.90	0.90	1.60	0.37	0.62	0.00	0.00	0.00	0.15	0.61	0.76	-	0.93	2.98	0.40	56:42	60.05	19.10
Mark Scheifele	WPG	C	98.7%	0.25	1.10	2.00	3.20	5.80	1.30	1.70	1.50	0.53	0.77	0.01	0.01	0.01	0.38	21.66	23.85	47.6%	1.02	3.51	0.18	62:30	64.00	23.60
Maxim Shabanov	MIN	RW	29.7%	0.24	0.90	1.00	1.90	6.20	2.90	1.80	0.20	0.32	0.56	0.01	0.00	0.01	0.16	0.08	0.09	-	0.99	2.98	-0.10	56:48	63.32	16.40
Alex Ovechkin	WSH	LW	92.2%	0.24	0.80	0.80	1.60	5.20	3.50	0.40	0.50	0.26	0.50	0.00	0.00	0.00	0.12	0.04	0.05	-	0.46	1.61	0.67	34:24	39.49	14.10
Jesper Bratt	NJD	RW	95.1%	0.24	0.90	2.20	3.00	6.90	3.10	1.10	0.40	0.76	1.00	0.02	0.03	0.05	0.08	0.14	0.17	-	0.91	3.14	-0.14	56:36	66.74	23.00
Gabriel Vilardi	WPG	RW	73.9%	0.24	0.90	1.30	2.10	5.20	0.70	1.60	0.80	0.42	0.66	0.00	0.00	0.00	0.31	2.64	2.74	-	0.84	2.49	0.15	54:54	58.21	17.70
Shayne Gostisbehere	CAR	D	95.5%	0.24	0.50	1.40	1.90	5.70	1.30	2.30	1.00	0.73	0.97	0.00	0.00	0.00	0.09	0.00	0.00	-	0.89	2.90	-0.03	56:06	63.28	19.50
Jake Debrusk	VAN	RW	47.6%	0.24	0.90	0.70	1.60	7.90	2.70	1.60	0.60	0.19	0.42	0.02	0.01	0.02	0.13	0.54	0.64	-	0.87	2.23	-0.46	50:24	63.89	16.60
Mikael Granlund	ANA	C	63.7%	0.24	0.80	2.00	2.90	7.20	1.90	2.70	0.90	0.70	0.94	0.05	0.05	0.10	0.10	24.17	25.39	48.8%	1.21	3.87	-0.08	77:18	93.47	24.20
T.J. Hughes	COL	RW	22.6%	0.24	0.50	0.70	1.20	4.90	3.00	1.30	1.00	0.34	0.58	0.00	0.00	0.00	0.09	5.54	6.01	-	0.67	2.01	0.53	42:18	45.95	11.80
Brock Boeser	VAN	RW	60.5%	0.23	0.90	1.00	1.90	5.90	2.00	1.10	0.90	0.32	0.55	0.02	0.01	0.03	0.13	1.84	2.31	-	0.84	2.88	-0.50	55:30	64.49	14.90
Mika Zibanejad	NYR	C	98.2%	0.23	0.80	1.80	2.50	7.70	3.80	2.10	0.60	0.58	0.81	0.04	0.03	0.07	0.06	21.64	18.97	53.3%	1.04	3.28	0.84	60:48	73.18	22.10
Ryan O'Reilly	NSH	C	81.0%	0.23	0.80	1.40	2.20	5.30	0.70	2.40	0.90	0.46	0.69	0.06	0.05	0.10	0.12	27.36	22.79	54.6%	1.08	2.64	-0.44	60:18	71.39	17.50
Dylan Cozens	OTT	C	85.2%	0.23	0.70	1.20	1.90	6.90	8.70	1.30	1.60	0.46	0.68	0.01	0.01	0.01	0.16	17.44	15.80	52.5%	0.78	2.46	0.07	52:42	69.07	17.60
Lucas Raymond	DET	RW	94.3%	0.23	0.80	1.80	2.60	7.60	1.50	0.90	0.90	0.68	0.90	0.01	0.01	0.02	0.10	0.05	0.06	-	1.01	2.82	-0.27	57:06	66.94	20.90
Jordan Eberle	SEA	RW	45.2%	0.22	1.00	1.10	2.10	6.40	2.30	1.90	1.50	0.31	0.53	0.01	0.00	0.01	0.20	0.47	0.58	-	0.93	2.54	-0.06	52:06	65.59	19.80
Benjamin Kindel	PIT	RW	49.9%	0.22	0.70	0.70	1.40	6.00	1.10	2.10	0.60	0.23	0.45	0.04	0.02	0.06	0.08	11.49	13.45	46.1%	0.79	2.50	0.25	46:06	55.19	14.30
Logan Cooley	UTA	C	94.1%	0.22	0.70	1.50	2.20	5.00	3.40	1.70	1.30	0.62	0.84	0.02	0.02	0.04	0.08	15.93	18.10	46.8%	0.94	2.85	-0.11	54:36	67.13	18.60
Bryan Rust	PIT	RW	82.9%	0.22	1.10	1.10	2.20	7.30	1.60	2.80	1.00	0.26	0.47	0.06	0.03	0.09	0.13	0.26	0.33	-	0.88	2.88	0.36	59:30	70.67	20.60
Tyler Toffoli	SJS	RW	37.2%	0.22	1.00	1.10	2.20	8.60	2.40	1.10	0.60	0.25	0.46	0.00	0.00	0.01	0.12	0.66	0.67	-	0.94	3.05	-1.03	62:18	77.73	19.50
Matthew Schaefer	NYI	D	99.9%	0.22	0.60	1.70	2.30	8.90	1.50	3.80	1.30	0.66	0.87	0.00	0.01	0.01	0.06	0.00	0.00	-	1.38	3.93	0.33	74:24	80.27	24.80
Tyson Foerster	PHI	LW	35.9%	0.21	0.90	0.60	1.50	6.20	3.90	2.20	1.60	0.15	0.36	0.05	0.01	0.06	0.10	0.06	0.07	-	0.76	2.26	-0.29	51:36	67.23	14.20
Porter Martone	PHI	RW	81.4%	0.21	1.00	0.90	1.90	6.30	4.70	0.80	1.40	0.20	0.41	0.00	0.00	0.00	0.11	0.73	0.86	-	0.81	2.72	-0.28	48:06	60.68	18.30
Darren Raddysh	TOR	D	97.3%	0.21	0.50	2.30	2.80	8.90	3.20	4.60	2.00	1.01	1.22	0.00	0.02	0.02	0.09	0.00	0.00	-	1.11	4.45	0.21	84:42	90.63	25.80
Quinton Byfield	LAK	C	82.1%	0.21	0.90	1.20	2.10	6.90	2.30	1.30	1.40	0.29	0.50	0.03	0.02	0.05	0.15	19.55	21.70	47.4%	1.24	2.90	0.43	58:54	68.86	18.30
Trevor Connelly	VGK	LW	40.5%	0.21	0.60	0.70	1.30	5.30	0.80	0.90	0.60	0.26	0.47	0.00	0.00	0.00	0.13	0.57	0.71	-	0.72	2.32	-0.02	43:54	53.00	12.00

† Edgehalla model: derived from LineupExperts' goals, assists and ice-time projection plus NHL history. +/-, shorthanded goals, assists and points are high-variance: the projections are small expected values ranked mostly by ice-time role, and actual totals swing a lot. How the model works

Start from total goals. Each player's goals come from Edgehalla's goal model next week (LineupExperts for longer ranges); assists and ice time from LineupExperts. Our model splits those goals and assists between even strength, the power play and the penalty kill in proportion to the minutes the player has been getting in each situation (recent games weighted most) times his shrunk scoring rate per 60 minutes there. A player's projected power-play goals can never exceed his projected goals.

What moves a player up

- Power-play minutes per game: from his recent games, the latest weighted most and blended with last season early on - Power-play scoring rate: goals per 60 power-play minutes, shrunk toward the league average for his position so a hot two weeks does not dominate - Total goals: a bigger goal projection means more to split

What it does not use

opponent penalty-kill quality, how many penalties the opponent takes, or line-by-line unit tracking. Those are not in the model.

💡

Pro Tip: Power-play time is the biggest driver. If a player has just moved onto or off the top unit, the projection catches up over a few games; check line combinations for the latest deployment.

Check power-play deployment

Projections follow recent power-play minutes. Confirm current units before setting a lineup.

Line Combinations

Power-play points

Most leagues count power-play points, not goals. The PPP page adds projected power-play assists.

Power Play Points

Power-play assists

Assists on the man advantage go to the players setting up the shot, often defensemen.

Power Play Assists

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Frequently Asked Questions

We take each player's projected goals and split them by strength in proportion to his recent power-play, penalty-kill and even-strength minutes times his shrunk goals-per-60 rate in each. The power-play share is the PPG projection.

Scoring rates are shrunk toward the league average for the position, weighted by how many power-play minutes the player has logged. A few lucky weeks move the estimate a little; a full season of evidence moves it a lot.

No. The model uses the player's own power-play usage and scoring history. It does not adjust for the opponent's penalty kill or how often the opponent takes penalties.

In our backtest on the 2024-25 and 2025-26 seasons, given the real goal totals, the split beat a naive per-game rate at every cutoff, and the top-ranked players' predicted PPG matched what they scored to within about 2%.

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NHL Projected Power Play Goals Next Week

Sorted by Projected Power Play Goals(Oct 19-25 (Week 4))

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What moves a player up

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