NHL Projected Power Play Goals This 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 12-18 (Week 3)). (Oct 12-18 (Week 3))

Wednesday, October 14, 2026

Updated 8:13 PM ET(hourly)

2 games • 691 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 12-18 (Week 3))

636 players

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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
Sam Reinhart	FLA	RW	97.3%	0.97	2.40	1.60	4.00	11.40	4.40	2.10	0.80	0.65	1.62	0.08	0.02	0.11	0.51	7.92	9.49	45.5%	1.21	3.87	0.02	84:00	94.23	36.40
Kirill Kaprizov	MIN	LW	98.3%	0.79	2.80	2.50	5.30	13.40	2.00	1.80	1.10	0.70	1.49	0.01	0.00	0.01	0.57	0.27	0.33	-	1.23	4.58	-0.52	88:48	84.17	47.20
Tage Thompson	BUF	C	99.5%	0.69	2.30	1.70	4.00	14.50	3.40	2.20	1.70	0.58	1.27	0.03	0.01	0.04	0.42	19.96	23.60	45.8%	1.31	3.84	0.32	77:24	94.17	39.20
Brady Tkachuk	FLA	LW	98.9%	0.68	1.80	1.70	3.40	14.40	12.80	1.00	4.70	0.71	1.39	0.02	0.01	0.03	0.38	10.66	9.80	52.1%	1.07	3.35	0.02	70:30	93.71	33.00
Tomas Hertl	VGK	C	86.7%	0.62	1.50	1.50	3.00	9.70	5.80	2.10	1.20	0.57	1.19	0.01	0.00	0.01	0.40	31.42	24.41	56.3%	0.95	3.03	-0.02	66:30	74.45	27.50
Matthew Tkachuk	FLA	RW	98.5%	0.61	1.60	3.50	5.00	10.90	5.80	0.70	3.80	1.73	2.35	0.02	0.01	0.03	0.34	0.37	0.44	-	1.23	3.84	0.02	74:42	83.78	37.80
Andrei Svechnikov	CAR	LW	97.7%	0.59	1.50	1.50	3.00	8.80	6.30	0.70	2.20	0.62	1.20	0.00	0.00	0.00	0.29	0.33	0.40	-	0.87	2.84	-0.02	51:54	60.66	26.80
Tim Stutzle	OTT	C	99.7%	0.57	1.80	2.80	4.60	9.10	6.50	2.40	1.50	1.06	1.63	0.11	0.07	0.18	0.45	17.78	16.01	52.6%	1.38	4.34	0.07	83:00	104.86	37.20
Alex DeBrincat	DET	LW	98.7%	0.54	1.70	1.70	3.40	10.90	1.60	1.60	0.90	0.51	1.05	0.01	0.01	0.02	0.21	0.86	1.05	-	1.01	2.81	0.05	55:30	63.47	30.80
Dylan Guenther	UTA	RW	99.3%	0.54	1.40	1.30	2.70	10.10	2.30	0.90	0.80	0.55	1.09	0.01	0.00	0.01	0.14	0.84	1.01	-	0.81	2.65	-0.02	51:54	63.95	27.10
Jack Eichel	VGK	C	99.9%	0.53	1.80	3.10	4.90	14.60	1.40	2.60	0.80	1.37	1.90	0.07	0.08	0.15	0.48	30.35	33.76	47.3%	1.47	4.74	-0.03	85:00	89.14	45.10
Auston Matthews	TOR	C	99.1%	0.52	1.90	2.10	4.00	11.20	2.00	3.70	0.70	0.63	1.15	0.06	0.03	0.09	0.35	28.39	21.24	57.2%	1.12	2.89	-0.15	63:24	69.88	37.40
Cole Caufield	MTL	LW	99.9%	0.50	1.70	1.30	3.00	9.50	2.10	0.90	0.70	0.44	0.94	0.01	0.00	0.01	0.24	0.32	0.39	-	0.85	2.50	0.45	55:30	62.86	27.00
Leon Draisaitl	EDM	C	99.7%	0.49	1.60	2.40	4.00	8.00	1.50	1.00	1.40	0.85	1.34	0.02	0.01	0.03	0.27	27.21	21.85	55.5%	0.99	3.80	-0.37	64:48	70.00	33.40
Drake Batherson	OTT	RW	96.7%	0.48	1.40	1.90	3.30	9.00	6.40	1.20	2.00	0.68	1.16	0.01	0.00	0.01	0.35	0.62	0.72	-	1.20	3.43	0.06	71:12	94.30	27.30
Nick Schmaltz	UTA	RW	97.1%	0.47	1.30	1.50	2.80	8.00	1.30	1.60	0.70	0.49	0.97	0.05	0.03	0.07	0.13	13.64	15.41	47.0%	1.12	2.83	-0.03	57:24	70.67	24.30
Alexis Lafreniere	NYR	RW	89.8%	0.47	1.60	1.40	3.10	6.50	3.50	1.30	0.90	0.38	0.85	0.01	0.00	0.01	0.13	0.73	0.93	-	0.94	2.59	1.12	53:42	64.96	24.70
Matthew Boldy	MIN	RW	100.0%	0.46	1.70	1.90	3.60	13.60	3.40	3.60	1.90	0.59	1.06	0.09	0.04	0.13	0.35	3.03	3.70	-	1.60	4.13	-0.48	84:00	82.93	38.10
Sebastian Aho	CAR	C	99.7%	0.45	1.30	2.30	3.60	8.70	2.20	1.20	2.00	0.87	1.32	0.06	0.07	0.12	0.25	24.12	22.11	52.2%	0.90	3.27	-0.02	60:12	69.05	29.80
Nathan MacKinnon	COL	C	99.9%	0.44	1.50	2.80	4.20	12.20	1.70	1.50	1.70	0.89	1.33	0.01	0.01	0.02	0.26	26.69	26.47	50.2%	1.01	4.04	0.51	66:42	71.23	36.80
Nikita Kucherov	TBL	RW	99.7%	0.44	1.30	3.00	4.30	9.40	1.30	1.10	1.50	1.32	1.76	0.01	0.01	0.01	0.13	0.08	0.09	-	0.99	3.90	0.33	63:06	64.60	34.30
Jake Guentzel	TBL	LW	99.5%	0.44	1.20	1.70	2.90	8.40	1.70	1.40	1.30	0.71	1.15	0.03	0.02	0.05	0.12	7.61	8.12	48.4%	0.92	2.92	0.32	60:42	66.39	25.80
Brandon Hagel	TBL	LW	99.3%	0.44	1.50	1.80	3.30	9.80	2.20	1.90	2.10	0.60	1.04	0.08	0.05	0.13	0.15	0.95	1.17	-	1.17	2.98	0.35	62:00	70.88	30.00
Nico Hischier	NJD	C	95.3%	0.43	1.40	1.70	3.10	10.10	2.40	3.00	1.00	0.53	0.96	0.06	0.04	0.11	0.16	47.93	39.39	54.9%	1.27	3.69	-0.12	81:54	93.72	29.70
Bo Horvat	NYI	C	92.4%	0.43	1.40	1.20	2.60	10.10	3.20	1.40	1.20	0.37	0.79	0.05	0.03	0.09	0.16	28.48	22.51	55.9%	0.92	3.12	-0.04	61:06	69.85	25.90
William Nylander	TOR	RW	99.0%	0.42	1.50	2.30	3.80	8.70	0.60	0.90	0.70	0.71	1.13	0.01	0.01	0.02	0.28	1.90	2.43	-	1.11	2.88	-0.14	59:54	67.19	28.90
Steven Stamkos	NSH	C	94.5%	0.42	1.20	1.20	2.40	7.20	3.10	1.40	1.50	0.45	0.87	0.00	0.00	0.00	0.17	11.71	9.91	54.2%	0.89	2.59	-0.09	54:42	62.95	19.90
Brayden Point	TBL	C	94.1%	0.41	1.20	1.40	2.50	7.80	0.60	1.30	0.60	0.49	0.90	0.01	0.00	0.01	0.12	15.24	17.03	47.2%	0.89	2.48	0.30	57:30	62.63	23.20
Mark Stone	VGK	RW	94.7%	0.41	1.30	2.60	3.90	8.90	2.70	3.10	1.00	1.11	1.52	0.06	0.04	0.10	0.34	0.38	0.48	-	1.27	3.78	-0.03	77:30	85.55	34.80
Connor McDavid	EDM	C	99.7%	0.41	1.50	3.60	5.10	8.80	1.90	1.30	1.50	1.48	1.89	0.06	0.05	0.10	0.25	17.41	17.81	49.4%	1.12	3.73	-0.40	69:06	71.78	39.50
Carter Verhaeghe	FLA	LW	68.1%	0.41	1.40	1.20	2.60	8.80	2.80	1.00	1.60	0.34	0.75	0.01	0.00	0.01	0.30	2.32	2.71	-	1.18	3.51	0.02	73:00	86.04	24.40
Dylan Larkin	DET	C	95.1%	0.40	1.40	1.60	2.90	9.70	1.80	1.40	1.60	0.50	0.91	0.06	0.03	0.09	0.17	31.59	28.27	52.8%	0.94	3.24	0.06	60:36	72.00	25.90
Kyle Connor	WPG	LW	98.9%	0.40	1.60	1.70	3.30	10.30	1.00	1.00	0.50	0.45	0.85	0.05	0.03	0.08	0.38	0.05	0.06	-	0.98	2.95	0.12	63:06	67.18	29.20
Jason Robertson	DAL	LW	99.1%	0.40	1.40	1.90	3.30	10.00	2.20	1.00	0.90	0.64	1.04	0.00	0.00	0.00	0.22	0.10	0.12	-	0.95	3.07	0.08	57:12	60.23	28.80
Viktor Arvidsson	DET	RW	40.7%	0.39	1.20	1.40	2.60	8.90	1.10	1.60	1.00	0.42	0.80	0.01	0.00	0.01	0.15	0.62	0.73	-	0.66	2.19	0.04	45:24	54.83	24.10
Jack Hughes	NJD	C	99.4%	0.39	1.60	3.10	4.70	15.50	0.40	2.10	0.70	1.08	1.47	0.03	0.03	0.06	0.19	13.03	19.94	39.5%	1.51	5.26	-0.12	84:36	86.18	42.70
Martin Necas	COL	RW	99.9%	0.38	1.20	1.90	3.10	7.70	2.70	0.90	0.90	0.63	1.02	0.01	0.01	0.02	0.21	0.84	0.86	-	1.00	3.28	0.45	60:42	63.40	26.90
Mitch Marner	VGK	RW	98.9%	0.37	1.20	2.90	4.10	9.20	1.50	2.60	0.90	1.10	1.48	0.04	0.05	0.09	0.32	5.03	6.74	-	1.67	4.91	-0.03	82:42	89.23	32.60
Nick Suzuki	MTL	C	99.9%	0.35	1.30	2.50	3.80	6.70	3.00	2.30	0.90	0.84	1.19	0.03	0.02	0.05	0.19	26.76	26.02	50.7%	1.02	3.27	0.52	62:54	67.10	29.70
Cutter Gauthier	ANA	LW	97.4%	0.35	1.10	0.80	1.90	8.20	2.00	0.80	0.90	0.25	0.60	0.01	0.00	0.01	0.16	1.93	2.18	-	0.50	1.67	-0.08	31:48	37.93	18.80
David Pastrnak	BOS	RW	99.8%	0.35	1.30	2.40	3.70	10.40	3.50	0.80	1.50	0.72	1.07	0.01	0.00	0.01	0.13	0.24	0.29	-	0.98	3.96	0.61	60:24	62.25	30.00
Cale Makar	COL	D	100.0%	0.35	0.90	2.20	3.10	7.90	1.30	4.80	0.80	0.97	1.31	0.01	0.03	0.04	0.16	0.00	0.00	-	1.19	3.80	0.58	75:00	77.68	30.30
Rasmus Dahlin	BUF	D	99.5%	0.35	1.00	2.60	3.60	10.20	3.90	5.40	2.90	0.95	1.29	0.01	0.01	0.02	0.18	0.00	0.00	-	1.46	5.26	0.42	96:36	107.95	34.70
Evan Bouchard	EDM	D	99.9%	0.34	0.90	2.30	3.10	7.30	1.20	3.80	1.10	1.06	1.40	0.01	0.03	0.04	0.15	0.00	0.00	-	1.16	4.03	-0.43	73:36	79.50	30.40
Alex Ovechkin	WSH	LW	92.2%	0.33	1.10	1.00	2.10	7.70	4.70	0.60	0.60	0.33	0.66	0.00	0.00	0.01	0.10	0.06	0.07	-	0.70	2.41	0.52	51:36	59.24	19.70
Filip Forsberg	NSH	LW	99.1%	0.33	1.10	1.60	2.70	8.90	4.30	1.50	1.30	0.54	0.86	0.00	0.00	0.01	0.15	0.46	0.60	-	1.16	3.39	-0.09	57:30	66.89	23.40
Macklin Celebrini	SJS	C	100.0%	0.33	1.40	2.30	3.70	11.10	1.70	2.00	1.40	0.71	1.04	0.02	0.02	0.03	0.21	22.29	23.00	49.2%	1.16	3.84	-0.72	62:06	63.19	31.30
John Tavares	TOR	C	95.0%	0.32	1.10	1.30	2.40	7.00	2.70	1.20	1.30	0.41	0.72	0.00	0.00	0.00	0.20	28.63	21.82	56.8%	0.87	2.82	-0.13	54:30	63.32	19.70
Pavel Dorofeyev	NYR	RW	90.9%	0.30	1.00	0.90	1.90	8.10	1.40	1.20	0.70	0.29	0.59	0.00	0.00	0.00	0.08	0.07	0.08	-	0.79	2.44	1.06	51:24	58.43	19.00
Roope Hintz	DAL	C	83.0%	0.30	1.10	1.40	2.50	6.70	3.10	1.20	0.90	0.41	0.71	0.02	0.01	0.02	0.17	22.41	17.59	56.0%	0.74	2.55	0.07	51:24	63.34	22.40
Juraj Slafkovsky	MTL	RW	97.5%	0.30	1.00	1.60	2.60	6.80	4.80	2.50	1.90	0.52	0.82	0.01	0.00	0.01	0.14	0.88	1.20	-	0.88	2.87	0.45	55:12	60.51	22.50
Clayton Keller	UTA	LW	99.9%	0.29	0.90	2.30	3.20	7.90	0.80	1.10	1.40	1.04	1.33	0.00	0.00	0.01	0.09	0.45	0.56	-	0.88	3.15	-0.02	56:30	67.04	25.30
Dylan Cozens	OTT	C	85.2%	0.29	0.90	1.70	2.60	9.30	9.90	1.70	1.90	0.64	0.94	0.01	0.01	0.02	0.22	23.27	21.08	52.5%	1.05	3.29	0.06	70:18	92.13	23.70
Vasily Podkolzin	EDM	LW	86.3%	0.29	1.00	0.80	1.70	4.90	8.20	1.90	2.00	0.23	0.52	0.02	0.01	0.02	0.17	0.88	1.18	-	0.67	1.96	-0.25	43:48	55.91	18.10
Connor Bedard	CHI	C	97.2%	0.29	1.10	2.00	3.10	9.80	1.60	1.30	2.00	0.62	0.90	0.00	0.00	0.00	0.11	13.02	15.04	46.4%	1.05	3.27	-0.76	61:42	65.83	24.50
Stephen Halliday	OTT	LW	5.6%	0.29	0.70	0.70	1.40	4.50	3.50	2.20	0.40	0.31	0.60	0.00	0.00	0.00	0.17	6.47	7.93	45.0%	0.58	1.95	0.03	36:42	52.29	12.90
Kyle Palmieri	NYI	RW	14.1%	0.28	1.00	0.90	1.90	7.00	2.00	1.30	1.10	0.27	0.56	0.02	0.01	0.02	0.12	0.45	0.45	-	0.82	2.49	-0.03	55:00	65.10	17.50
Mikko Rantanen	DAL	RW	98.8%	0.28	1.10	2.20	3.30	6.80	2.10	1.30	2.70	0.73	1.01	0.00	0.00	0.00	0.17	2.70	2.98	-	1.05	3.23	0.09	63:06	65.25	25.60
Lucas Raymond	DET	RW	94.3%	0.28	1.00	2.10	3.10	7.80	1.60	1.00	0.90	0.79	1.07	0.01	0.01	0.02	0.12	0.05	0.06	-	1.01	2.82	0.06	57:06	66.94	23.90
Josh Doan	BUF	RW	53.7%	0.28	1.10	1.10	2.20	8.00	4.70	2.20	1.30	0.29	0.57	0.02	0.01	0.03	0.20	0.73	0.91	-	1.16	3.21	0.26	61:00	79.92	22.50
Morgan Geekie	BOS	LW	94.0%	0.28	1.10	1.40	2.50	5.30	4.40	1.20	0.80	0.40	0.68	0.01	0.00	0.01	0.11	3.73	4.20	-	0.80	2.59	0.53	52:00	56.36	19.80
Luke Evangelista	NJD	RW	70.4%	0.28	0.90	1.90	2.80	9.30	1.30	1.40	1.60	0.66	0.93	0.00	0.00	0.00	0.11	0.04	0.05	-	1.01	3.07	-0.08	62:12	69.84	24.20
Trevor Connelly	VGK	LW	40.5%	0.28	0.80	0.90	1.70	8.00	1.10	1.20	0.80	0.34	0.61	0.00	0.00	0.00	0.21	0.76	0.95	-	0.96	3.10	-0.02	58:36	70.74	16.90
Kirill Marchenko	TOR	RW	98.0%	0.28	1.00	1.60	2.60	7.40	2.30	1.40	1.80	0.53	0.81	0.00	0.00	0.00	0.19	0.23	0.28	-	1.01	2.89	-0.14	56:42	61.88	23.10
Jack Quinn	BUF	RW	50.8%	0.27	0.90	1.50	2.40	8.90	3.20	1.10	1.10	0.54	0.81	0.01	0.01	0.02	0.17	0.27	0.32	-	0.91	3.45	0.27	66:12	81.68	21.40
Chris Kreider	MTL	LW	61.6%	0.27	0.90	1.10	2.00	5.00	3.60	1.00	1.10	0.35	0.62	0.01	0.01	0.02	0.13	0.86	1.06	-	0.77	2.30	0.41	50:36	63.29	16.00
Cole Perfetti	WPG	LW	79.8%	0.27	1.00	1.20	2.20	6.70	2.60	1.40	0.80	0.37	0.64	0.00	0.00	0.00	0.24	0.70	0.78	-	0.87	2.25	0.09	47:42	55.40	19.80
Sam Bennett	FLA	C	81.3%	0.27	0.90	1.60	2.50	9.50	7.40	1.50	3.70	0.51	0.78	0.02	0.01	0.03	0.19	26.09	28.30	48.0%	1.14	3.73	0.02	72:30	86.44	21.80
Roman Kantserov	CHI	RW	48.4%	0.27	1.00	0.70	1.70	6.00	2.20	0.90	1.40	0.19	0.46	0.01	0.00	0.01	0.10	7.66	9.31	45.1%	0.87	2.42	-0.60	48:36	54.05	14.50
Sidney Crosby	PIT	C	98.7%	0.27	1.00	1.40	2.40	7.20	2.40	1.20	1.00	0.40	0.67	0.00	0.00	0.00	0.10	35.30	29.07	54.8%	0.94	3.17	0.32	59:54	68.43	18.70
Jesper Bratt	NJD	RW	95.1%	0.27	1.00	2.70	3.70	8.90	4.10	1.40	0.60	0.93	1.20	0.03	0.03	0.06	0.12	0.18	0.22	-	1.21	4.19	-0.11	75:30	89.03	28.80
Leo Carlsson	ANA	C	94.9%	0.27	0.90	1.30	2.30	5.80	0.50	1.10	0.70	0.54	0.80	0.02	0.01	0.03	0.13	10.98	13.28	45.3%	0.58	1.76	-0.08	36:06	42.02	19.20
Shane Pinto	OTT	C	43.7%	0.27	1.10	1.70	2.90	7.80	4.90	2.70	2.10	0.48	0.75	0.07	0.06	0.12	0.27	24.02	23.22	50.8%	1.29	3.50	0.07	75:24	103.61	25.60
Quinn Hughes	MIN	D	99.9%	0.27	0.80	4.10	4.90	9.90	0.60	3.60	1.20	1.71	1.97	0.00	0.00	0.01	0.16	0.00	0.00	-	1.63	5.68	-0.65	108:30	94.99	38.40
Evgeni Malkin	PIT	C	85.2%	0.26	0.90	1.20	2.10	6.70	1.00	0.90	2.00	0.38	0.64	0.00	0.00	0.00	0.09	6.58	7.17	47.9%	0.92	2.94	0.29	54:00	59.52	18.40
Noah Ostlund	BUF	C	29.2%	0.26	0.90	1.00	1.90	5.90	0.50	1.60	0.70	0.30	0.56	0.02	0.01	0.03	0.17	9.29	13.93	40.0%	0.90	2.88	0.25	60:12	76.38	18.30
Jakob Chychrun	WSH	D	99.0%	0.26	0.80	1.20	2.00	7.60	2.20	4.70	2.40	0.38	0.64	0.01	0.01	0.02	0.07	0.00	0.00	-	1.04	3.70	0.75	68:06	67.89	23.60
Tyler Bertuzzi	CHI	LW	52.0%	0.26	1.00	0.90	1.80	5.60	2.30	0.80	1.10	0.24	0.50	0.00	0.00	0.01	0.10	1.34	1.59	-	0.83	2.79	-0.65	52:12	57.04	14.70
Joel Eriksson Ek	MIN	C	77.8%	0.26	1.00	1.40	2.40	11.50	5.60	2.50	1.40	0.42	0.68	0.04	0.03	0.07	0.20	38.85	39.51	49.6%	1.24	3.48	-0.46	78:42	82.01	29.40
Mika Zibanejad	NYR	C	98.2%	0.26	0.90	2.00	2.80	7.10	3.90	2.30	0.60	0.64	0.90	0.05	0.04	0.08	0.07	21.64	18.97	53.3%	1.04	3.28	1.28	60:48	73.18	23.20
Anton Lundell	FLA	C	42.0%	0.26	0.90	1.40	2.20	9.30	5.30	1.90	1.80	0.45	0.71	0.06	0.04	0.11	0.19	31.15	29.17	51.6%	1.00	3.66	0.02	70:42	89.99	22.40
Ryan O'Reilly	NSH	C	81.0%	0.26	0.90	1.60	2.50	5.20	0.70	2.60	1.00	0.52	0.78	0.06	0.05	0.12	0.13	27.36	22.79	54.6%	1.08	2.64	-0.10	60:18	71.39	19.20
Jackson Blake	CAR	RW	80.8%	0.25	0.70	1.70	2.50	7.40	0.70	1.10	1.20	0.76	1.01	0.00	0.00	0.01	0.14	0.23	0.29	-	0.89	2.58	-0.01	48:42	53.73	21.50
Mark Scheifele	WPG	C	98.7%	0.25	1.10	2.00	3.10	6.40	1.50	1.60	1.50	0.53	0.77	0.01	0.01	0.01	0.26	21.66	23.85	47.6%	1.02	3.51	0.12	62:30	64.00	24.00
Maxim Shabanov	MIN	RW	29.7%	0.24	0.90	1.00	1.90	6.10	2.70	2.00	0.20	0.32	0.56	0.01	0.00	0.01	0.18	0.08	0.09	-	0.99	2.98	-0.33	56:48	63.32	16.60
Gabriel Vilardi	WPG	RW	73.9%	0.24	0.90	1.20	2.10	5.80	0.80	1.60	0.80	0.39	0.63	0.00	0.00	0.00	0.22	2.64	2.74	-	0.84	2.49	0.10	54:54	58.21	18.10
Shayne Gostisbehere	CAR	D	95.5%	0.24	0.50	1.50	2.00	6.30	1.40	2.50	1.00	0.78	1.02	0.00	0.00	0.00	0.10	0.00	0.00	-	0.89	2.90	-0.02	56:06	63.28	20.10
Joshua Norris	BUF	C	33.6%	0.24	1.00	1.20	2.20	5.90	2.90	2.40	2.20	0.31	0.55	0.03	0.01	0.04	0.18	26.10	24.30	51.8%	0.96	3.02	0.29	66:12	91.09	19.60
Tom Wilson	WSH	RW	94.2%	0.24	1.10	1.20	2.30	5.80	8.00	2.90	3.40	0.27	0.51	0.07	0.04	0.11	0.10	0.55	0.67	-	0.86	2.97	0.64	57:36	69.25	21.70
Will Smith	SJS	RW	94.5%	0.23	0.90	1.50	2.40	7.30	0.70	0.70	0.60	0.42	0.65	0.01	0.00	0.01	0.13	2.16	2.46	-	0.76	2.67	-0.59	51:48	56.66	19.20
Rickard Rakell	PIT	LW	76.7%	0.22	0.80	0.80	1.60	6.90	3.40	2.00	0.80	0.25	0.48	0.02	0.01	0.03	0.08	3.01	4.20	-	0.92	2.73	0.31	58:36	67.12	15.90
Jared McCann	SEA	LW	77.5%	0.22	0.90	1.30	2.20	7.20	1.80	1.10	0.50	0.35	0.57	0.02	0.01	0.03	0.19	1.50	1.78	-	0.78	2.49	0.25	49:42	65.21	20.50
Benjamin Kindel	PIT	RW	49.9%	0.22	0.70	0.70	1.40	5.80	1.10	1.80	0.50	0.23	0.45	0.04	0.02	0.06	0.07	11.49	13.45	46.1%	0.79	2.50	0.24	46:06	55.19	13.80
Logan Cooley	UTA	C	94.1%	0.22	0.70	1.70	2.40	5.00	3.40	1.60	1.20	0.70	0.93	0.02	0.02	0.04	0.07	15.93	18.10	46.8%	0.94	2.85	-0.02	54:36	67.13	19.90
Bryan Rust	PIT	RW	82.9%	0.22	1.10	1.20	2.20	7.10	1.60	2.30	0.90	0.28	0.50	0.06	0.03	0.09	0.10	0.26	0.33	-	0.88	2.88	0.34	59:30	70.67	19.90
Seth Jones	FLA	D	75.6%	0.22	0.50	2.60	3.10	9.40	4.50	4.00	1.30	1.30	1.52	0.01	0.04	0.05	0.11	0.00	0.00	-	1.49	5.11	0.03	99:12	109.10	27.90
Artemi Panarin	LAK	LW	97.4%	0.22	0.80	1.20	2.00	6.30	0.60	0.30	0.60	0.39	0.60	0.00	0.00	0.00	0.21	0.02	0.02	-	0.61	2.14	-0.13	41:00	44.01	16.00
Timo Meier	NJD	LW	77.4%	0.22	1.20	1.20	2.30	13.50	7.10	2.70	2.00	0.22	0.44	0.01	0.01	0.02	0.14	2.24	2.70	-	1.22	3.72	-0.11	72:30	82.78	26.50
Matthew Schaefer	NYI	D	99.9%	0.22	0.60	1.80	2.40	9.80	1.60	3.40	1.20	0.70	0.91	0.00	0.01	0.01	0.07	0.00	0.00	-	1.38	3.93	-0.05	74:24	80.27	25.40
Ryan Leonard	WSH	RW	67.2%	0.21	0.90	1.30	2.20	6.20	5.40	1.10	2.00	0.33	0.54	0.00	0.00	0.00	0.08	0.17	0.20	-	0.65	2.16	0.45	41:54	52.47	19.10

† 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 this 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 This Week

Sorted by Projected Power Play Goals(Oct 12-18 (Week 3))

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What moves a player up

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