Canadian Hockey League

HC
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Team Leaders

Team Stats

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Pascal Riendeau
	Coach	Pascal Vincent
	Division	Metropolitan
	Conference	Eastern
	Captain
	Assistant #1
	Assistant #2
Uniforms

Arena Info
	Name	Devils Hometown
	Capacity	18,000
	Attendance
	Season Tickets	7,200
Roster Info
	Pro Team	26
	Farm Team	22
	Contract Limit	48 / 50
	Prospects	13
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	85,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	26
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	16,494,594$
	Projected Bank Account	16,494,594$
Team History
	This Season	0-0
	History	744-674-144 (0.476%)
	Playoff Appearances	12
	Playoff Record (W-L)	46-57
	Stanley Cup	0

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Tyler Johnson	X				100.00	61	41	84	87	46	82	81	68	86	69	68	68	83	88	85	30	31	69	0	33	2	3,000,000$
2	Ryan Johansen	X				100.00	61	56	78	80	76	81	81	66	94	64	68	65	76	84	83	40	23	68	0	31	4	3,000,000$
3	Jesper Fast			X		100.00	70	47	86	80	59	79	98	60	40	59	60	75	40	86	83	35	26	67	0	32	1	2,750,000$
4	Anthony Mantha			X		100.00	64	71	81	76	88	79	89	62	40	60	63	65	60	80	80	50	38	67	0	29	2	6,500,000$
5	Sonny Milano		X			100.00	54	47	84	84	58	76	87	66	40	68	64	65	40	76	76	60	34	67	0	27	4	2,500,000$
6	Pius Suter	X				100.00	52	42	88	81	49	78	97	57	82	50	65	82	99	76	77	60	34	66	0	27	2	2,200,000$
7	Tyson Jost			X		100.00	60	50	80	82	53	77	92	59	74	61	58	70	40	72	75	70	34	65	0	25	1	2,000,000$
8	Josh Archibald			X		100.00	99	43	76	80	45	71	85	53	40	48	58	76	40	84	78	40	34	64	0	31	3	2,000,000$
9	Walker Duehr			X		100.00	88	53	87	79	70	72	62	62	40	52	71	62	40	74	73	65	35	64	0	26	1	632,500$
10	Jordan Greenway		X			100.00	80	62	82	75	89	77	85	52	40	47	58	66	40	74	76	65	19	63	0	26	4	2,300,000$
11	Arnaud Durandeau		X			100.00	57	59	80	81	52	77	67	58	40	57	59	51	99	70	74	75	25	61	0	24	1	1,020,000$
12	David Gustafsson	X				100.00	53	53	87	75	71	72	75	50	84	51	50	73	40	68	70	80	29	61	0	23	1	1,020,000$
13	Will Cuylle		X			100.00	79	75	73	75	69	78	68	52	40	44	60	70	69	64	71	90	18	61	0	21	1	825,000$
14	Connor Clifton				X	100.00	99	55	75	81	54	79	96	58	40	59	58	75	40	78	79	55	13	71	0	28	4	3,000,000$
15	Colin Miller				X	100.00	72	52	81	78	63	77	97	57	40	56	59	74	40	84	81	40	34	70	0	31	2	4,000,000$
16	Justin Schultz				X	100.00	50	48	79	83	60	79	93	66	40	70	62	66	40	88	84	30	22	69	0	33	3	3,000,000$
17	Kyle Capobianco				X	100.00	60	51	81	76	66	70	53	54	40	40	68	70	40	74	72	65	30	63	0	26	1	1,300,000$
18	Corey Schueneman				X	100.00	55	47	82	75	59	66	61	42	40	42	42	70	40	78	72	55	18	60	0	28	2	975,000$
Scratches
1	Emilio Pettersen		X			100.00	52	53	79	80	50	70	60	55	40	54	56	70	40	68	69	80	17	60	0	23	3	925,000$
2	Lucas Condotta (R)	X				100.00	58	56	73	82	60	81	71	43	40	37	48	70	40	74	78	65	17	58	0	26	3	925,000$
3	Jordy Bellerive	X				100.00	61	63	72	75	56	70	60	38	70	36	41	66	99	70	70	75	20	55	0	24	1	1$
4	Robin Salo				X	100.00	53	48	83	82	60	69	51	64	40	55	72	63	40	72	71	70	19	63	0	25	1	750,000$
5	Nikolai Knyzhov				X	100.00	61	57	77	75	78	77	51	50	40	40	60	57	40	72	75	70	19	60	0	25	1	925,000$
Farm Team
1	Brandon Gignac		X			100.00	56	52	84	79	52	60	50	53	40	53	52	70	90	74	67	65	42	59	0	26	1	1,400,000$
2	Josh Dunne	X				100.00	84	81	68	75	74	74	64	48	70	41	55	57	99	72	73	70	42	59	0	25	1	700,000$
3	Fredrik Olofsson (R)		X			100.00	67	48	89	75	60	72	62	51	40	49	53	66	40	76	74	60	42	59	0	27	3	900,000$
4	Cole Reinhardt		X			100.00	73	65	62	75	63	75	65	46	40	49	44	67	40	68	72	80	42	58	0	23	3	700,000$
5	Daniel Walcott		X			100.00	50	50	59	75	51	76	66	45	40	43	46	70	40	80	78	50	42	57	0	29	3	850,000$
6	Nikita Gusev		X			100.00	42	38	87	86	40	55	50	63	40	45	50	50	73	84	70	40	42	56	0	31	1	750,000$
7	Chase Wouters	X				100.00	56	58	73	75	54	79	69	40	70	40	39	61	40	68	74	80	40	54	0	23	3	700,000$
8	Dino Kambeitz			X		100.00	67	64	79	75	70	72	62	34	40	30	38	70	40	68	70	80	42	54	0	23	3	925,000$
9	Riley Damiani	X				100.00	52	77	81	77	42	68	58	47	70	45	48	50	40	68	68	80	42	54	0	23	3	700,000$
10	Henri Nikkanen (R)	X				100.00	61	52	83	80	69	75	65	35	70	34	36	56	40	66	71	85	42	53	0	22	3	700,000$
11	Jeremy McKenna			X		100.00	57	52	86	75	44	60	50	43	40	41	45	57	40	70	65	75	42	52	0	24	1	632,500$
12	Greg Meireles			X		100.00	49	47	82	75	50	71	61	38	40	33	42	50	40	70	71	75	40	51	0	24	1	632,500$
13	Shawn Element	X				100.00	64	71	53	75	57	60	50	40	70	35	45	53	40	68	64	80	34	51	0	23	3	700,000$
14	Matt Rempe (R)	X				100.00	84	89	57	70	79	62	52	33	40	26	39	60	40	64	63	90	33	51	0	21	3	700,000$
15	Mattias Norlinder (R)				X	100.00	67	56	84	85	77	71	66	37	40	41	34	53	40	68	70	80	42	60	0	23	2	750,000$
16	Jeremy Groleau				X	100.00	71	66	83	75	66	55	50	35	40	35	36	70	40	70	63	75	42	58	0	24	1	1,045,000$
17	Corson Ceulemans (R)				X	100.00	57	50	81	83	64	55	50	33	40	26	39	57	40	62	59	95	38	55	0	20	3	925,000$
18	Curtis Hall	X				100.00	76	69	85	75	74	60	50	29	70	27	32	57	40	68	64	80	20	50	0	23	3	700,000$
19	Keean Washkurak	X				100.00	51	50	75	75	52	60	50	37	70	25	48	59	40	66	63	85	20	50	0	22	3	700,000$
20	Morgan Adams-Moisan			X		100.00	78	70	29	75	73	60	50	25	40	20	30	53	99	74	67	65	20	48	0	26	1	632,500$
21	Ryan Chyzowski		X			100.00	49	50	86	75	48	60	50	28	40	22	35	53	40	68	64	80	20	46	0	23	3	700,000$

	TEAM AVERAGE					100.00	64	56	78	78	61	71	67	48	50	45	51	64	52	73	72	67	31	59

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Carter Hart	100.00	86	97	99	85	83	75	74	76	81	73	91	72	74	70	21	78	0	25	3	3,900,000$
2	Matt Murray	100.00	82	62	62	95	74	73	72	72	72	75	91	80	77	50	23	74	0	29	1	5,750,000$
Scratches
1	Kaapo Kahkonen	100.00	84	75	78	94	56	61	59	57	53	50	67	76	69	60	20	65	0	27	5	5,500,000$
Farm Team
1	Pavel Cajan (R)	100.00	75	50	60	84	50	50	50	50	50	50	40	64	57	90	60	56	0	21	3	750,000$

	TEAM AVERAGE	100.00	82	71	75	90	66	65	64	64	64	62	72	73	69	68	31	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Pascal Vincent	50	50	50	50	83	88	64	CAN	53	4	1,000,000$

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2037	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2038	2039	2040	2041	2042	Link
Anthony Mantha	Devils	RW	29	1994-09-16	No	234 Lbs	6 ft5	No	No	Yes	2	Pro Only	6,500,000$	6,500,000$	3,017,857$	No	6,500,000$	UFA				Link / NHL Link
Arnaud Durandeau	Devils	LW	24	1999-01-14	No	181 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,020,000$	1,020,000$	473,571$	No	RFA					Link / NHL Link
Carter Hart	Devils	G	25	1998-08-13	No	181 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	3,900,000$	3,900,000$	1,810,714$	No	3,900,000$	3,900,000$	UFA			Link / NHL Link
Colin Miller	Devils	D	31	1992-10-29	No	200 Lbs	6 ft1	Yes	No	Yes	2	Pro & Farm	4,000,000$	4,000,000$	1,857,143$	No	4,000,000$	UFA				Link / NHL Link
Connor Clifton	Devils	D	28	1995-04-28	No	190 Lbs	5 ft11	Yes	No	Yes	4	Pro & Farm	3,000,000$	3,000,000$	1,392,857$	No	3,000,000$	3,000,000$	3,000,000$	UFA		Link / NHL Link
Corey Schueneman	Devils	D	28	1995-09-02	No	196 Lbs	6 ft0	No	No	No	2	Pro & Farm	975,000$	975,000$	452,679$	No	975,000$	UFA				Link / NHL Link
David Gustafsson	Devils	C	23	2000-04-11	No	212 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,020,000$	1,020,000$	473,571$	No	RFA					Link / NHL Link
Emilio Pettersen	Devils	LW	23	2000-04-03	No	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	925,000$	925,000$	429,464$	No	925,000$	925,000$	RFA			Link / NHL Link
Jesper Fast	Devils	RW	32	1991-12-02	No	191 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	2,750,000$	2,750,000$	1,276,786$	No	UFA					Link / NHL Link
Jordan Greenway	Devils	LW	26	1997-02-16	No	231 Lbs	6 ft6	No	No	Yes	4	Pro & Farm	2,300,000$	2,300,000$	1,067,857$	No	2,300,000$	2,300,000$	2,300,000$	UFA		Link / NHL Link
Jordy Bellerive	Devils	C	24	1999-05-02	No	194 Lbs	5 ft11	Yes	No	Yes	1	Pro & Farm	1$	1$	0$	No	RFA					Link / NHL Link
Josh Archibald	Devils	RW	31	1992-10-06	No	176 Lbs	5 ft10	No	No	No	3	Pro & Farm	2,000,000$	2,000,000$	928,571$	No	2,000,000$	2,000,000$	UFA			Link / NHL Link
Justin Schultz	Devils	D	33	1990-07-06	No	190 Lbs	6 ft2	Yes	No	Yes	3	Pro & Farm	3,000,000$	3,000,000$	1,392,857$	No	3,000,000$	3,000,000$	UFA			Link / NHL Link
Kaapo Kahkonen	Devils	G	27	1996-08-16	No	214 Lbs	6 ft2	No	No	Yes	5	Pro Only	5,500,000$	5,500,000$	2,553,571$	No	5,500,000$	5,500,000$	5,500,000$	5,500,000$	UFA	Link / NHL Link
Kyle Capobianco	Devils	D	26	1997-08-13	No	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,300,000$	1,300,000$	603,571$	No	RFA					Link / NHL Link
Lucas Condotta	Devils	C	26	1997-06-19	Yes	223 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	925,000$	429,464$	No	925,000$	925,000$	UFA			Link / NHL Link
Matt Murray	Devils	G	29	1994-05-25	No	178 Lbs	6 ft4	No	No	Yes	1	Pro Only	5,750,000$	5,750,000$	2,669,643$	No	UFA					Link / NHL Link
Nikolai Knyzhov	Devils	D	25	1998-03-20	No	222 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	925,000$	429,464$	No	RFA					Link / NHL Link
Pius Suter	Devils	C	27	1996-05-24	No	179 Lbs	5 ft11	No	No	Yes	2	Pro & Farm	2,200,000$	2,200,000$	1,021,429$	No	2,200,000$	UFA				Link / NHL Link
Robin Salo	Devils	D	25	1998-10-13	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	348,214$	No	RFA					Link / NHL Link
Ryan Johansen	Devils	C	31	1992-07-31	No	218 Lbs	6 ft3	Yes	No	Yes	4	Pro & Farm	3,000,000$	3,000,000$	1,392,857$	No	3,000,000$	3,000,000$	3,000,000$	UFA		Link / NHL Link
Sonny Milano	Devils	LW	27	1996-05-12	No	194 Lbs	6 ft0	No	No	Yes	4	Pro & Farm	2,500,000$	2,500,000$	1,160,714$	No	2,500,000$	2,500,000$	2,500,000$	UFA		Link / NHL Link
Tyler Johnson	Devils	C	33	1990-07-29	No	185 Lbs	5 ft8	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	1,392,857$	No	3,000,000$	UFA				Link / NHL Link
Tyson Jost	Devils	RW	25	1998-03-14	No	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	928,571$	No	RFA					Link / NHL Link
Walker Duehr	Devils	RW	26	1997-11-23	No	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	632,500$	632,500$	293,661$	No	RFA					Link / NHL Link
Will Cuylle	Devils	LW	21	2002-02-05	No	204 Lbs	6 ft3	No	No	No	1	Pro & Farm	825,000$	825,000$	383,036$	No	RFA					Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	27.12	199 Lbs	6 ft1	2.19	2,334,519$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
60,697,501$	43,725,000$	27,050,000$	16,300,000$	5,500,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Sonny Milano	Tyler Johnson	Jesper Fast	40	1	2	2
2	Jordan Greenway	Ryan Johansen	Anthony Mantha	30	1	2	2
3	Will Cuylle	Pius Suter	Tyson Jost	20	1	2	2
4	Arnaud Durandeau	David Gustafsson	Josh Archibald	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor Clifton	Colin Miller	40	1	2	2
2	Justin Schultz	Kyle Capobianco	30	1	2	2
3	Corey Schueneman	Connor Clifton	20	1	2	2
4	Colin Miller	Justin Schultz	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Sonny Milano	Tyler Johnson	Jesper Fast	60	1	2	2
2	Jordan Greenway	Ryan Johansen	Anthony Mantha	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor Clifton	Colin Miller	60	1	2	2
2	Justin Schultz	Kyle Capobianco	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tyler Johnson	Ryan Johansen	60	1	2	2
2	Jesper Fast	Anthony Mantha	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor Clifton	Colin Miller	60	1	2	2
2	Justin Schultz	Kyle Capobianco	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Tyler Johnson	60	1	2	2	Connor Clifton	Colin Miller	60	1	2	2
2	Ryan Johansen	40	1	2	2	Justin Schultz	Kyle Capobianco	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tyler Johnson	Ryan Johansen	60	1	2	2
2	Jesper Fast	Anthony Mantha	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor Clifton	Colin Miller	60	1	2	2
2	Justin Schultz	Kyle Capobianco	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Sonny Milano	Tyler Johnson	Jesper Fast	Connor Clifton	Colin Miller

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Sonny Milano	Tyler Johnson	Jesper Fast	Connor Clifton	Colin Miller

Extra Forwards
Normal	PowerPlay	Penalty Kill
Walker Duehr, Pius Suter, Tyson Jost	Walker Duehr, Pius Suter	Tyson Jost

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Corey Schueneman, Kyle Capobianco, Connor Clifton	Corey Schueneman	Kyle Capobianco, Connor Clifton

Penalty Shots
Tyler Johnson, Ryan Johansen, Jesper Fast, Anthony Mantha, Sonny Milano

Goalie
#1 : Carter Hart, #2 : Matt Murray

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0.00%	0	0	0.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link

Depth Chart

Left Wing

Center

Right Wing

Sonny Milano

AGE:27
SK:		84
EN:		76
DU:		87
PH:		66
PA:		68
SC:		64
DF:		65
Jordan Greenway

AGE:26
SK:		75
EN:		77
DU:		85
PH:		52
PA:		47
SC:		58
DF:		66
Will Cuylle

AGE:21
SK:		75
EN:		78
DU:		68
PH:		52
PA:		44
SC:		60
DF:		70
Arnaud Durandeau

AGE:24
SK:		81
EN:		77
DU:		67
PH:		58
PA:		57
SC:		59
DF:		51
Emilio Pettersen

AGE:23
SK:		80
EN:		70
DU:		60
PH:		55
PA:		54
SC:		56
DF:		70
Brandon Gignac

AGE:26
SK:		79
EN:		60
DU:		50
PH:		53
PA:		53
SC:		52
DF:		70
Fredrik Olofsson (R)

AGE:27
SK:		75
EN:		72
DU:		62
PH:		51
PA:		49
SC:		53
DF:		66
Cole Reinhardt

AGE:23
SK:		75
EN:		75
DU:		65
PH:		46
PA:		49
SC:		44
DF:		67
Daniel Walcott

AGE:29
SK:		75
EN:		76
DU:		66
PH:		45
PA:		43
SC:		46
DF:		70
Nikita Gusev

AGE:31
SK:		86
EN:		55
DU:		50
PH:		63
PA:		45
SC:		50
DF:		50
Ryan Chyzowski

AGE:23
SK:		75
EN:		60
DU:		50
PH:		28
PA:		22
SC:		35
DF:		53

Tyler Johnson

AGE:33
SK:		87
EN:		82
DU:		81
PH:		68
PA:		69
SC:		68
DF:		68
Ryan Johansen

AGE:31
SK:		80
EN:		81
DU:		81
PH:		66
PA:		64
SC:		68
DF:		65
Pius Suter

AGE:27
SK:		81
EN:		78
DU:		97
PH:		57
PA:		50
SC:		65
DF:		82
David Gustafsson

AGE:23
SK:		75
EN:		72
DU:		75
PH:		50
PA:		51
SC:		50
DF:		73
Josh Dunne

AGE:25
SK:		75
EN:		74
DU:		64
PH:		48
PA:		41
SC:		55
DF:		57
Lucas Condotta (R)

AGE:26
SK:		82
EN:		81
DU:		71
PH:		43
PA:		37
SC:		48
DF:		70
Jordy Bellerive

AGE:24
SK:		75
EN:		70
DU:		60
PH:		38
PA:		36
SC:		41
DF:		66
Chase Wouters

AGE:23
SK:		75
EN:		79
DU:		69
PH:		40
PA:		40
SC:		39
DF:		61
Riley Damiani

AGE:23
SK:		77
EN:		68
DU:		58
PH:		47
PA:		45
SC:		48
DF:		50
Henri Nikkanen (R)

AGE:22
SK:		80
EN:		75
DU:		65
PH:		35
PA:		34
SC:		36
DF:		56
Matt Rempe (R)

AGE:21
SK:		70
EN:		62
DU:		52
PH:		33
PA:		26
SC:		39
DF:		60
Shawn Element

AGE:23
SK:		75
EN:		60
DU:		50
PH:		40
PA:		35
SC:		45
DF:		53
Keean Washkurak

AGE:22
SK:		75
EN:		60
DU:		50
PH:		37
PA:		25
SC:		48
DF:		59
Curtis Hall

AGE:23
SK:		75
EN:		60
DU:		50
PH:		29
PA:		27
SC:		32
DF:		57

Anthony Mantha

AGE:29
SK:		76
EN:		79
DU:		89
PH:		62
PA:		60
SC:		63
DF:		65
Jesper Fast

AGE:32
SK:		80
EN:		79
DU:		98
PH:		60
PA:		59
SC:		60
DF:		75
Tyson Jost

AGE:25
SK:		82
EN:		77
DU:		92
PH:		59
PA:		61
SC:		58
DF:		70
Walker Duehr

AGE:26
SK:		79
EN:		72
DU:		62
PH:		62
PA:		52
SC:		71
DF:		62
Josh Archibald

AGE:31
SK:		80
EN:		71
DU:		85
PH:		53
PA:		48
SC:		58
DF:		76
Dino Kambeitz

AGE:23
SK:		75
EN:		72
DU:		62
PH:		34
PA:		30
SC:		38
DF:		70
Jeremy McKenna

AGE:24
SK:		75
EN:		60
DU:		50
PH:		43
PA:		41
SC:		45
DF:		57
Greg Meireles

AGE:24
SK:		75
EN:		71
DU:		61
PH:		38
PA:		33
SC:		42
DF:		50
Morgan Adams-Moisan

AGE:26
SK:		75
EN:		60
DU:		50
PH:		25
PA:		20
SC:		30
DF:		53

Defense #1

Defense #2

Goalie

Connor Clifton

AGE:28
SK:		81
EN:		79
DU:		96
PH:		58
PA:		59
SC:		58
DF:		75
Colin Miller

AGE:31
SK:		78
EN:		77
DU:		97
PH:		57
PA:		56
SC:		59
DF:		74
Justin Schultz

AGE:33
SK:		83
EN:		79
DU:		93
PH:		66
PA:		70
SC:		62
DF:		66
Robin Salo

AGE:25
SK:		82
EN:		69
DU:		51
PH:		64
PA:		55
SC:		72
DF:		63
Kyle Capobianco

AGE:26
SK:		76
EN:		70
DU:		53
PH:		54
PA:		40
SC:		68
DF:		70

Mattias Norlinder (R)

AGE:23
SK:		85
EN:		71
DU:		66
PH:		37
PA:		41
SC:		34
DF:		53
Nikolai Knyzhov

AGE:25
SK:		75
EN:		77
DU:		51
PH:		50
PA:		40
SC:		60
DF:		57
Corey Schueneman

AGE:28
SK:		75
EN:		66
DU:		61
PH:		42
PA:		42
SC:		42
DF:		70
Jeremy Groleau

AGE:24
SK:		75
EN:		55
DU:		50
PH:		35
PA:		35
SC:		36
DF:		70
Corson Ceulemans (R)

AGE:20
SK:		83
EN:		55
DU:		50
PH:		33
PA:		26
SC:		39
DF:		57

Carter Hart

AGE:25
SK:		86
AG:		83
RB:		75
SC:		74
HS:		76
RT:		81
DF:		73
Matt Murray

AGE:29
SK:		82
AG:		74
RB:		73
SC:		72
HS:		72
RT:		72
DF:		75
Kaapo Kahkonen

AGE:27
SK:		84
AG:		56
RB:		61
SC:		59
HS:		57
RT:		53
DF:		50
Pavel Cajan (R)

AGE:21
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

Prospects

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Prospect	Team Name	Draft Year	Overall Pick
Adam Fantilli	Devils	2037	2
Beau Akey	Devils	2037	74
Danil But	Devils	2037	36
Filip Mesar	Devils	2036	23
Frederic Brunet	Devils	2036	154
Gavin Mccarthy	Devils	2037	93
Ian Moore	Devils	2034	81
Jagger Firkus	Devils	2036	30
John Farinacci	Devils	2033	102
Kasper Puutio	Devils	2034	172
Noah Warren	Devils	2036	33
Tristan Bertucci	Devils	2037	62
Yevgeni Volokhin	Devils	2037	95

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2038
2039
2040

Devils Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Trevor Gillies	1612	233	347	580	-511	1223	1993	2121	2424	9.61%	873	25754	15.98	55	87	142	272	5	8	13	59	26	11	49.09%	2	0.45	3	28
2	Patrice Bergeron	487	190	287	477	74	160	333	1570	1796	10.58%	202	10724	22.02	44	105	149	408	11	11	22	74	29	15	56.84%	2	0.89	9	56
3	Jaden Schwartz	400	172	207	379	28	99	185	869	1454	11.83%	93	8444	21.11	59	101	160	428	1	3	4	38	19	12	34.33%	3	0.90	11	19
4	Kyle Turris	564	137	234	371	58	108	189	994	1193	11.48%	57	8956	15.88	35	87	122	291	3	1	4	15	19	9	53.19%	2	0.83	9	28
5	Tyler Bozak	471	139	229	368	7	211	433	1156	1293	10.75%	102	8502	18.05	41	93	134	400	5	3	8	29	15	9	53.94%	0	0.87	6	25

Devils Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Marc-Andre Fleury	232	126	87	16	0.905	2.77	13562	14	13	627	6622	0	8	4	0.762	105
2	Jonathan Quick	228	121	84	20	0.900	2.94	13439	52	8	659	6622	0	6	3	0.826	109
3	Antti Niemi	153	84	51	14	0.910	2.61	8984	38	4	390	4336	1727	10	8	0.786	103
4	John Gibson	126	45	65	10	0.879	3.91	6926	14	3	451	3728	0	4	2	0.696	23
5	Braden Holtby	74	41	28	4	0.903	2.76	4349	4	5	200	2068	0	4	0	0.844	45

Devils Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2017	82	22	50	0	2	2	0	6	212	323	-111	41	9	28	0	1	1	0	2	104	159	-55	41	13	22	0	1	1	0	4	108	164	-56	50	212	329	541	0	1	0	48	81	81	2247	0	647	844	744	2691	840	1146	1832	262	54	20.61%	265	56	78.87%	5	872	1828	47.70%	892	1910	46.70%	685	1369	50.04%	1509	771	2061	896	1561	733
2018	82	37	30	0	0	2	5	8	244	230	14	41	20	14	0	0	0	4	3	110	100	10	41	17	16	0	0	2	1	5	134	130	4	76	244	390	634	1	5	0	64	98	77	2588	0	801	911	858	2539	835	927	1861	238	45	18.91%	183	31	83.06%	7	1004	1992	50.40%	1003	1935	51.83%	639	1261	50.67%	1757	995	1706	759	1526	767
2019	82	25	34	0	7	3	8	5	214	241	-27	41	10	20	0	5	2	2	2	106	128	-22	41	15	14	0	2	1	6	3	108	113	-5	67	214	336	550	6	2	0	45	67	87	2187	0	612	730	822	2362	773	931	1691	216	33	15.28%	193	44	77.20%	8	956	1823	52.44%	1011	1949	51.87%	595	1104	53.89%	1660	858	1696	788	1648	842
2020	82	36	24	0	7	1	5	9	257	221	36	41	14	13	0	6	1	1	6	130	122	8	41	22	11	0	1	0	4	3	127	99	28	87	257	408	665	4	2	0	62	86	97	2437	0	729	808	854	2415	764	1074	1841	214	42	19.63%	259	48	81.47%	7	1037	1936	53.56%	1031	1993	51.73%	609	1184	51.44%	1705	907	1688	780	1610	809
2021	82	36	27	0	4	0	5	10	248	224	24	41	18	12	0	4	0	3	4	121	103	18	41	18	15	0	0	0	2	6	127	121	6	80	248	430	678	0	5	0	90	68	81	2648	0	840	855	903	2403	693	1030	1822	439	73	16.63%	439	68	84.51%	6	1718	3148	54.57%	1643	3028	54.26%	661	1252	52.80%	2055	1412	1903	623	1043	531
2022	82	40	31	0	1	4	3	3	258	243	15	41	23	15	0	0	1	1	1	130	114	16	41	17	16	0	1	3	2	2	128	129	-1	86	258	454	712	3	2	0	83	87	84	2677	0	865	886	904	2475	726	1135	1973	440	73	16.59%	466	75	83.91%	8	1663	3145	52.88%	1590	3074	51.72%	693	1279	54.18%	1997	1372	1933	623	1030	511
2023	82	35	35	0	4	1	6	1	234	236	-2	41	21	17	0	2	0	1	0	117	118	-1	41	14	18	0	2	1	5	1	117	118	-1	79	234	408	642	2	7	0	71	72	81	2332	0	706	809	793	2442	733	1236	1892	415	76	18.31%	510	91	82.16%	7	1527	2900	52.66%	1520	2963	51.30%	653	1284	50.86%	2008	1378	1922	617	1032	511
2024	82	32	30	0	5	4	5	6	281	267	14	41	16	14	0	3	3	2	3	144	139	5	41	16	16	0	2	1	3	3	137	128	9	94	281	498	779	2	2	0	83	93	95	2578	0	835	839	861	2421	686	1131	1851	458	94	20.52%	489	95	80.57%	5	1712	3117	54.92%	1546	3016	51.26%	678	1331	50.94%	2055	1419	1908	621	1035	523
2025	82	28	38	0	0	5	6	5	272	314	-42	41	14	19	0	0	2	3	3	133	168	-35	41	14	19	0	0	3	3	2	139	146	-7	78	272	472	744	4	0	0	98	86	82	2555	0	859	792	880	2654	770	1157	1912	418	86	20.57%	468	105	77.56%	7	1572	3051	51.52%	1480	3011	49.15%	669	1344	49.78%	1971	1329	1959	628	1054	529
2026	82	34	29	0	6	3	8	2	278	248	30	41	18	13	0	3	1	4	2	144	128	16	41	16	16	0	3	2	4	0	134	120	14	101	278	477	755	2	5	0	88	89	87	2758	0	917	908	902	2431	725	1136	1782	445	90	20.22%	433	86	80.14%	3	1683	3213	52.38%	1491	2971	50.19%	701	1323	52.99%	2055	1419	1890	617	1045	534
2027	82	36	35	0	0	2	5	4	255	240	15	41	19	15	0	0	0	4	3	137	116	21	41	17	20	0	0	2	1	1	118	124	-6	88	255	440	695	1	3	0	93	84	73	2393	0	796	805	774	2303	682	936	1695	456	101	22.15%	396	89	77.53%	2	1651	2904	56.85%	1433	2816	50.89%	642	1271	50.51%	2063	1436	1877	603	1028	524
2030	82	36	27	0	3	5	6	5	294	254	40	41	17	12	0	1	3	6	2	146	123	23	41	19	15	0	2	2	0	3	148	131	17	100	294	511	805	1	3	0	106	104	75	2783	0	931	941	873	2639	762	1024	1822	432	99	22.92%	447	95	78.75%	2	1714	3140	54.59%	1701	3122	54.48%	736	1370	53.72%	1971	1342	1974	629	1053	522
2031	82	32	31	0	3	1	8	7	285	264	21	41	20	12	0	1	0	4	4	158	131	27	41	12	19	0	2	1	4	3	127	133	-6	94	285	493	778	5	1	0	118	83	73	2661	0	912	843	861	2480	747	925	1764	414	85	20.53%	399	78	80.45%	3	1672	3126	53.49%	1445	2880	50.17%	711	1343	52.94%	2034	1410	1930	610	1040	520
2032	82	25	47	0	1	6	1	2	253	323	-70	41	15	21	0	0	3	1	1	135	156	-21	41	10	26	0	1	3	0	1	118	167	-49	62	253	448	701	2	0	0	82	89	80	2551	0	833	880	832	2653	816	953	1816	390	74	18.97%	417	93	77.70%	5	1545	2975	51.93%	1475	2979	49.51%	680	1353	50.26%	1939	1323	1965	615	1041	517
2033	82	22	48	0	1	3	3	5	267	347	-80	41	12	23	0	0	0	2	4	146	182	-36	41	10	25	0	1	3	1	1	121	165	-44	60	267	450	717	2	2	0	106	77	80	2486	0	813	780	874	2887	840	964	1811	372	74	19.89%	411	104	74.70%	2	1426	2821	50.55%	1526	3130	48.75%	763	1419	53.77%	1791	1184	2118	628	1060	510
2034	82	37	35	0	1	2	4	3	252	265	-13	41	19	18	0	1	0	2	1	117	126	-9	41	18	17	0	0	2	2	2	135	139	-4	89	252	453	705	0	4	0	93	81	73	2600	0	831	896	850	2573	743	990	1792	409	72	17.60%	403	79	80.40%	4	1514	3000	50.47%	1414	2901	48.74%	638	1324	48.19%	1977	1357	1933	621	1047	519
2035	82	30	37	0	6	2	4	3	285	296	-11	41	22	11	0	4	1	2	1	158	134	24	41	8	26	0	2	1	2	2	127	162	-35	85	285	499	784	0	3	0	91	94	90	2636	0	874	875	859	2498	705	997	1778	404	76	18.81%	403	93	76.92%	3	1680	3044	55.19%	1452	2786	52.12%	707	1339	52.80%	2038	1423	1897	599	1033	517
2036	82	27	46	0	2	4	2	1	271	336	-65	41	13	23	0	1	3	1	0	141	162	-21	41	14	23	0	1	1	1	1	130	174	-44	67	271	474	745	2	2	0	94	87	86	2604	0	918	833	837	2788	778	910	1650	443	85	19.19%	381	102	73.23%	0	1557	2895	53.78%	1457	2995	48.65%	714	1353	52.77%	1942	1345	1998	601	1010	504
2037	82	30	40	0	5	4	2	1	268	304	-36	41	15	22	0	0	2	2	0	127	158	-31	41	15	18	0	5	2	0	1	141	146	-5	79	268	470	738	1	4	99	76	86	8	2471	767	828	853	32	2912	884	898	1725	385	80	20.78%	394	87	77.92%	5	1455	2763	52.66%	1562	3167	49.32%	694	1361	50.99%	1735	1147	2181	636	1035	496
Total Regular Season	1558	600	674	0	58	54	86	86	4928	5176	-248	779	315	322	0	32	23	45	42	2504	2567	-63	779	285	352	0	26	31	41	44	2424	2609	-185	1522	4928	8440	13368	38	53	99	1591	1612	1490	48192	767	15547	16088	15313	48566	14502	19500	34310	7250	1412	19.48%	7356	1519	79.35%	89	27958	52821	52.93%	26672	52626	50.68%	12868	24864	51.75%	36271	23834	36547	12503	21941	10929
Playoff
2018	5	1	4	0	0	0	0	0	11	21	-10	2	1	1	0	0	0	0	0	5	9	-4	3	0	3	0	0	0	0	0	6	12	-6	2	11	19	30	0	0	0	1	3	6	155	0	36	48	70	176	71	116	103	14	4	28.57%	13	3	76.92%	0	61	132	46.21%	55	124	44.35%	39	85	45.88%	103	60	112	41	84	41
2019	5	1	4	0	0	0	0	0	10	14	-4	2	1	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	4	9	-5	2	10	17	27	0	1	0	2	5	3	147	0	52	50	45	129	61	45	102	8	0	0.00%	13	1	92.31%	1	65	118	55.08%	46	98	46.94%	28	68	41.18%	103	57	103	45	93	48
2020	7	3	4	0	0	0	0	0	15	20	-5	4	3	1	0	0	0	0	0	9	6	3	3	0	3	0	0	0	0	0	6	14	-8	6	15	23	38	0	0	0	5	5	4	199	0	54	62	81	156	46	38	121	16	6	37.50%	17	4	76.47%	0	86	163	52.76%	68	136	50.00%	45	88	51.14%	135	67	139	69	148	73
2021	6	2	4	0	0	0	0	0	15	14	1	3	1	2	0	0	0	0	0	7	6	1	3	1	2	0	0	0	0	0	8	8	0	4	15	27	42	0	0	0	5	5	5	184	0	63	49	72	151	45	68	151	28	5	17.86%	32	6	81.25%	1	116	231	50.22%	100	188	53.19%	47	82	57.32%	156	107	130	43	73	38
2022	5	1	4	0	0	0	0	0	12	20	-8	2	1	1	0	0	0	0	0	8	8	0	3	0	3	0	0	0	0	0	4	12	-8	2	12	23	35	0	0	0	4	3	5	138	0	54	34	50	164	36	67	121	16	4	25.00%	30	8	73.33%	1	75	163	46.01%	99	191	51.83%	47	83	56.63%	110	73	128	37	60	28
2023	15	8	7	0	0	0	0	0	40	38	2	7	4	3	0	0	0	0	0	21	20	1	8	4	4	0	0	0	0	0	19	18	1	16	40	64	104	1	1	0	13	16	9	436	0	147	137	140	453	143	214	373	83	12	14.46%	92	11	88.04%	1	261	543	48.07%	273	556	49.10%	97	210	46.19%	367	258	370	110	182	91
2024	19	11	8	0	0	0	0	0	55	61	-6	8	5	3	0	0	0	0	0	22	21	1	11	6	5	0	0	0	0	0	33	40	-7	22	55	99	154	1	2	0	14	23	17	567	0	165	184	182	583	204	264	466	104	20	19.23%	114	20	82.46%	0	353	702	50.28%	398	745	53.42%	174	330	52.73%	467	315	495	148	252	124
2026	6	2	4	0	0	0	0	0	18	19	-1	3	1	2	0	0	0	0	0	9	9	0	3	1	2	0	0	0	0	0	9	10	-1	4	18	32	50	0	0	0	3	9	6	187	0	44	79	62	232	61	56	130	27	2	7.41%	25	4	84.00%	0	109	217	50.23%	106	241	43.98%	46	93	49.46%	146	101	139	45	78	40
2027	6	2	4	0	0	0	0	0	16	17	-1	3	1	2	0	0	0	0	0	9	9	0	3	1	2	0	0	0	0	0	7	8	-1	4	16	28	44	0	0	0	5	2	9	163	0	61	44	58	171	52	70	132	33	5	15.15%	29	8	72.41%	0	108	208	51.92%	114	203	56.16%	43	93	46.24%	142	99	144	45	74	37
2030	17	11	6	0	0	0	0	0	59	53	6	8	7	1	0	0	0	0	0	29	18	11	9	4	5	0	0	0	0	0	30	35	-5	22	59	102	161	1	1	0	23	16	16	605	0	189	168	215	605	179	231	396	99	22	22.22%	101	21	79.21%	0	367	714	51.40%	350	718	48.75%	160	292	54.79%	405	274	453	137	221	106
2031	7	3	4	0	0	0	0	0	17	21	-4	3	2	1	0	0	0	0	0	8	8	0	4	1	3	0	0	0	0	0	9	13	-4	6	17	33	50	0	0	0	6	6	4	216	0	56	64	70	256	58	85	148	27	2	7.41%	39	7	82.05%	1	124	258	48.06%	145	287	50.52%	50	112	44.64%	162	107	194	58	92	43
2034	5	1	4	0	0	0	0	0	13	23	-10	2	0	2	0	0	0	0	0	3	7	-4	3	1	2	0	0	0	0	0	10	16	-6	2	13	22	35	0	0	0	5	4	4	137	0	42	36	48	226	73	72	120	23	6	26.09%	34	8	76.47%	0	82	166	49.40%	115	229	50.22%	41	89	46.07%	106	69	147	41	65	29
Total Playoff	103	46	57	0	0	0	0	0	281	321	-40	47	27	20	0	0	0	0	0	136	126	10	56	19	37	0	0	0	0	0	145	195	-50	92	281	489	770	3	5	0	86	97	88	3134	0	963	955	1093	3302	1029	1326	2363	478	88	18.41%	539	101	81.26%	5	1807	3615	49.99%	1869	3716	50.30%	817	1625	50.28%	2407	1594	2559	824	1428	702

Devils Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Patrice Bergeron	57	22	37	59	15	15	29	144	193	11.40%	19	1196	20.99	7	15	22	39	0	0	3	2	2	53.71%	1	0.99
2	Jaden Schwartz	56	17	17	34	-4	2	15	109	169	10.06%	11	1021	18.24	6	5	11	43	0	0	1	3	1	31.96%	1	0.67
3	Tyler Bozak	39	10	20	30	-18	30	59	105	120	8.33%	9	890	22.82	5	8	13	26	2	2	8	2	2	53.91%	0	0.67
4	Mark Scheifele	21	13	16	29	9	0	9	59	89	14.61%	8	503	23.98	4	5	9	22	0	0	2	1	0	51.36%	1	1.15
5	Martin Hanzal	29	10	15	25	6	73	97	71	73	13.70%	1	596	20.57	5	5	10	21	0	0	0	1	1	54.83%	0	0.84

Devils Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG
1	Jonathan Quick	29	15	9	4	0.911	2.96	1745	0	1	86	967	0	4	1
2	Marc-Andre Fleury	26	11	13	2	0.905	2.75	1529	0	1	70	736	0	1	1
3	Simeon Varlamov	19	11	7	1	0.896	3.02	1193	2	2	60	577	0	1	0
4	Antti Niemi	12	4	8	0	0.882	2.81	705	0	1	33	280	114	1	0
5	Braden Holtby	6	3	3	0	0.932	2.31	389	0	0	15	220	0	0	0