Devils
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Wolves 36-32-12, 84pts	3	FINAL	5	Devils 49-26-5, 103pts

Team Stats
SOL1	Streak	W4
16-16-8	Home Record	24-13-3
20-16-4	Away Record	25-13-2
5-2-3	Last 10 Games	9-1-0
3.75	Goals Per Game	4.73
4.21	Goals Against Per Game	4.09
20.49%	Power Play Percentage	21.24%
81.27%	Penalty Kill Percentage	82.72%

Devils
49-26-5, 103pts

FINAL

Bears
41-33-6, 88pts

Team Stats
W4	Streak	L5
24-13-3	Home Record	23-15-2
25-13-2	Away Record	18-18-4
9-1-0	Last 10 Games	4-6-0
4.73	Goals Per Game	4.44
4.09	Goals Against Per Game	4.35
21.24%	Power Play Percentage	21.16%
82.72%	Penalty Kill Percentage	76.95%

Team Leaders
	Goals Ondrej Kase 47	Assists Alan Quine 61

	Points Ondrej Kase 100	Plus/Minus Jonny Brodzinski 21

	Wins Calvin Pickard 37	Save Percentage Calvin Pickard 0.887

Team Stats
Goals For 378 4.73 GFG	Shots For 2728 34.10 Avg	Power Play Percentage 21.2% 72 GF	Offensive Zone Start 36.2%
Goals Against 327 4.09 GAA	Shots Against 2630 32.88 Avg	Penalty Kill Percentage 82.7%% 33 GA	Defensive Zone Start 35.6%

Team Info
	General Manager	Matthieu Gauvin
	Coach	Larry Robinson
	Division	Max-Sillig
	Conference	Louis-Magnus
	Captain	Ilya Lyubushkin
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,838
	Season Tickets	300
Roster Info
	Pro Team	25
	Farm Team	18
	Contract Limit	43 / 250
	Prospects	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	Miikka Salomaki		X			100.00	74	38	82	76	77	71	83	76	72	78	75	68	72	55	52	38	86	73	0	24	1	995,000$
2	Maxime Macenauer	X				100.00	76	25	77	75	74	84	75	76	71	74	69	73	74	63	53	25	54	72	0	28	1	500,000$
3	Ondrej Kase (R)			X		100.00	76	48	83	74	72	71	76	71	72	78	73	70	76	57	49	55	80	72	0	21	2	995,000$
4	Valeri Nichushkin (R)		X			100.00	74	35	79	70	83	75	67	69	74	74	77	57	72	51	44	54	83	70	0	22	1	900,000$
5	Alan Quine (R)	X				100.00	60	29	76	75	65	71	71	76	74	74	71	55	64	52	48	36	78	68	0	24	1	700,000$
6	Joonas Donskoi			X		100.00	62	25	74	70	66	73	77	72	76	78	70	59	68	62	54	38	83	68	0	25	1	800,000$
7	Reid Boucher (R)	X				100.00	70	29	72	67	76	65	72	64	73	73	82	56	62	50	50	39	83	68	0	24	1	750,000$
8	Brett Seney (R)		X			100.00	56	35	80	78	59	65	60	73	65	67	77	61	67	47	46	50	83	67	0	21	3	700,000$
9	Conor Garland (R)			X		100.00	73	50	78	75	79	60	76	65	57	75	71	59	58	46	45	53	83	67	0	21	3	700,000$
10	Jonny Brodzinski (R)	X				100.00	68	36	72	75	63	62	74	67	66	64	73	56	63	49	53	41	64	65	0	24	1	500,000$
11	Mason Marchment (R)		X			100.00	65	33	79	54	66	61	69	64	62	63	81	48	65	47	46	54	83	63	0	22	1	500,000$
12	Cristiano Digiacinto (R)		X			100.00	54	34	78	68	55	71	64	52	61	68	54	68	53	43	43	47	34	61	0	21	1	500,000$
13	Eeli Tolvanen (R)			X		100.00	49	23	74	54	57	56	68	55	44	50	74	46	66	40	40	74	83	56	0	18	2	500,000$
14	Damon Severson				X	100.00	78	27	90	74	73	78	82	75	60	76	78	71	71	67	48	48	73	74	0	23	1	2,500,000$
15	Darren Dietz (R)				X	100.00	68	25	72	84	71	75	75	77	54	76	66	74	62	57	48	41	83	71	0	24	1	900,000$
16	Dalton Thrower (R)				X	100.00	80	46	76	70	75	71	61	67	52	67	64	72	52	53	51	37	55	70	0	24	1	850,000$
17	Christian Wolanin (R)				X	100.00	72	33	80	65	60	64	73	67	39	74	75	60	52	49	49	54	83	67	0	22	2	700,000$
18	Robbie Russo (R)				X	100.00	61	18	77	75	68	69	68	71	49	74	58	74	54	48	50	38	75	67	0	24	1	500,000$
19	Jake Bean (R)				X	100.00	54	34	71	78	54	61	63	77	39	71	61	66	41	42	42	65	83	63	0	19	1	500,000$
20	Wyatt Kalynuk (R)				X	100.00	50	29	74	67	52	47	69	79	35	67	48	68	45	44	46	69	73	60	0	20	2	500,000$
21	Vincent Desharnais (R)				X	100.00	68	42	60	56	64	74	62	47	37	59	55	58	32	45	44	41	29	59	0	21	1	500,000$
Scratches
1	Brett Howden (R)	X				100.00	54	30	84	68	58	78	61	56	69	67	57	62	55	41	42	68	59	61	0	19	1	500,000$
2	Ilya Lyubushkin (R) (C)				X	39.01	83	47	68	75	77	77	61	66	46	72	57	69	52	51	50	51	46	70	0	23	2	850,000$

	TEAM AVERAGE					97.35	66	34	76	71	67	69	70	68	59	70	68	63	60	50	48	49	71	67

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	Calvin Pickard	100.00	74	75	77	66	66	82	82	66	68	76	77	63	49	37	83	72	0	25	1	950,000$
2	Juuse Saros	100.00	64	74	77	63	61	75	74	60	65	75	68	48	46	53	83	67	0	22	1	900,000$
Scratches

	TEAM AVERAGE	100.00	69	75	77	65	64	79	78	63	67	76	73	56	48	45	83	70

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Larry Robinson	77	93	56	82	99	83	45	Can	75	1	750,000$

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	FT	S1	S2	S3
1	Ondrej Kase	Devils (N.J)	RW	76	47	53	100	-24	15	5	109	105	268	77	169	17.54%	35	1563	20.57	14	18	32	54	285	0	0	0	3	50	6	1	44.35%	115	58	39	0	1	1.28	2	7	1	5	9	3
2	Alan Quine	Devils (N.J)	C	77	38	61	99	-13	26	0	82	134	287	86	176	13.24%	34	1543	20.04	8	23	31	33	263	1	2	3	6	101	3	1	51.57%	1916	41	23	0	2	1.28	0	0	0	4	6	5
3	Miikka Salomaki	Devils (N.J)	LW	71	45	42	87	12	8	0	107	94	262	66	142	17.18%	33	1352	19.06	9	6	15	37	216	3	0	3	7	156	4	4	52.59%	135	44	23	0	1	1.29	0	7	0	7	7	3
4	Valeri Nichushkin	Devils (N.J)	LW	80	29	57	86	-22	14	0	121	92	205	62	146	14.15%	45	1607	20.09	9	18	27	34	294	0	1	1	3	55	6	2	47.01%	117	38	24	0	1	1.07	3	6	0	5	3	4
5	Darren Dietz	Devils (N.J)	D	80	13	56	69	17	58	0	83	130	196	60	75	6.63%	91	1847	23.09	7	8	15	26	279	0	2	2	6	135	0	1	0.00%	0	51	68	1	0	0.75	0	2	0	0	1	6
6	Joonas Donskoi	Devils (N.J)	RW	80	35	34	69	4	26	0	92	75	181	61	137	19.34%	23	1310	16.38	4	5	9	16	211	0	1	1	2	24	7	2	59.77%	87	28	22	0	2	1.05	1	3	0	4	4	2
7	Brett Seney	Devils (N.J)	LW	80	32	27	59	13	6	0	52	57	176	61	134	18.18%	20	1080	13.50	0	3	3	2	35	0	0	0	3	66	5	1	48.89%	45	45	18	0	0	1.09	0	0	0	3	3	8
8	Reid Boucher	Devils (N.J)	C	80	21	35	56	3	24	0	102	108	120	34	72	17.50%	31	1265	15.82	3	4	7	14	157	1	0	1	3	40	2	1	50.51%	982	19	21	0	0	0.88	0	0	0	2	1	2
9	Conor Garland	Devils (N.J)	RW	80	19	35	54	9	14	0	111	46	143	45	88	13.29%	20	1060	13.25	4	1	5	8	60	0	0	0	0	0	5	0	37.50%	32	48	17	1	0	1.02	0	0	0	2	2	1
10	Damon Severson	Devils (N.J)	D	68	8	46	54	8	5	5	87	131	129	53	52	6.20%	95	1740	25.60	4	8	12	17	282	0	2	2	1	121	1	0	0.00%	0	44	55	0	0	0.62	0	1	1	2	2	0
11	Jonny Brodzinski	Devils (N.J)	C	64	14	28	42	21	16	0	75	73	100	25	61	14.00%	16	796	12.44	0	1	1	0	18	0	0	0	2	44	1	0	46.80%	453	23	19	0	0	1.05	0	0	0	2	1	2
12	Maxime Macenauer	Devils (N.J)	C	27	17	25	42	-1	10	0	41	56	121	32	74	14.05%	22	587	21.77	4	9	13	14	112	1	0	1	1	47	0	0	49.58%	829	20	14	1	0	1.43	1	2	0	4	2	2
13	Brett Howden	Devils (N.J)	C	69	15	15	30	3	8	0	30	53	84	27	45	17.86%	23	580	8.42	0	0	0	0	0	0	0	0	1	17	2	1	41.36%	220	12	14	0	0	1.03	0	0	0	1	1	3
14	Mason Marchment	Devils (N.J)	LW	80	14	13	27	6	8	0	56	28	90	31	51	15.56%	14	660	8.26	0	0	0	0	0	0	0	0	0	1	0	1	54.55%	11	13	14	0	0	0.82	0	0	0	1	1	1
15	Ilya Lyubushkin	Devils (N.J)	D	74	3	21	24	-10	54	0	149	94	86	32	33	3.49%	89	1486	20.08	2	2	4	6	151	0	0	0	2	102	0	0	0.00%	0	26	47	0	0	0.32	0	0	0	0	1	1
16	Christian Wolanin	Devils (N.J)	D	80	7	15	22	-5	14	0	63	58	75	14	33	9.33%	45	1216	15.20	3	1	4	8	194	0	0	0	2	56	1	0	0.00%	0	16	30	0	0	0.36	0	0	0	0	0	2
17	Dalton Thrower	Devils (N.J)	D	68	2	20	22	0	14	0	90	75	63	21	38	3.17%	73	1216	17.88	0	3	3	2	86	0	0	0	1	105	0	0	0.00%	0	9	34	0	0	0.36	0	0	0	0	1	0
18	Jake Bean	Devils (N.J)	D	80	2	17	19	12	22	0	18	57	45	20	20	4.44%	34	863	10.79	1	1	2	2	105	0	0	0	0	26	0	0	0.00%	0	6	29	0	0	0.44	0	0	0	0	0	0
19	Robbie Russo	Devils (N.J)	D	80	4	13	17	10	6	0	32	51	37	14	19	10.81%	39	745	9.32	0	0	0	0	6	0	0	0	0	57	0	0	0.00%	0	7	22	0	0	0.46	0	0	0	0	0	1
20	Eeli Tolvanen	Devils (N.J)	RW	80	6	7	13	8	20	0	25	25	35	8	22	17.14%	8	659	8.24	0	0	0	0	3	0	0	0	0	0	0	1	33.33%	18	4	13	0	0	0.39	0	0	0	0	0	1
21	Wyatt Kalynuk	Devils (N.J)	D	78	0	4	4	-8	8	0	10	19	4	3	3	0.00%	23	435	5.58	0	0	0	0	1	0	0	0	0	9	0	0	0.00%	0	0	18	0	0	0.18	0	0	0	0	0	0
22	Cristiano Digiacinto	Devils (N.J)	LW	22	2	1	3	0	2	0	2	7	11	3	7	18.18%	2	64	2.93	0	0	0	0	0	0	0	0	0	5	1	0	33.33%	3	2	3	0	0	0.93	0	0	0	0	1	0
23	Sven Baertschi	Devils	LW	2	0	0	0	1	2	0	7	0	10	1	6	0.00%	0	43	21.63	0	0	0	3	7	0	0	0	0	3	0	0	40.00%	5	2	3	0	0	0.00%	0	0	0	0	0	0
24	Vincent Desharnais	Devils (N.J)	D	35	0	0	0	-2	6	0	13	5	0	0	1	0.00%	6	177	5.07	0	0	0	0	2	0	0	0	0	0	0	0	0.00%	0	1	5	0	0	0.00%	1	1	0	0	0	0
Team Total or Average				1611	373	625	998	42	386	10	1557	1573	2728	836	1604	13.67%	821	23904	14.84	72	111	183	276	2778	6	8	14	43	1232	44	16	49.84%	4968	557	575	3	7	0.83	8	29	2	42	46	47

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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Calvin Pickard	Devils (N.J)	56	37	14	2	0.887	3.66	3201	0	195	1725	819	7	2	0.938	16	51	29	2	1	2
2	Juuse Saros	Devils (N.J)	32	12	12	3	0.859	4.64	1644	2	127	903	423	3	0	0.636	11	29	51	1	0	0
Team Total or Average			88	49	26	5	0.877	3.99	4846	2	322	2628	1242	10	2		27	80	80	3	1	2

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	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Alan Quine	Devils (N.J)	C	24	1993-01-01	Yes	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	0$	0$	No
Brett Howden	Devils (N.J)	C	19	1998-01-01	Yes	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	0$	0$	No			Link
Brett Seney	Devils (N.J)	LW	21	1996-01-01	Yes	156 Lbs	5 ft9	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	800,000$	900,000$	Link
Calvin Pickard	Devils (N.J)	G	25	1992-01-01	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	950,000$	0$	0$	No
Christian Wolanin	Devils (N.J)	D	22	1995-01-01	Yes	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	800,000$		Link
Conor Garland	Devils (N.J)	RW	21	1996-01-01	Yes	165 Lbs	5 ft10	No	No	No	3	Pro & Farm	700,000$	0$	0$	No	800,000$	900,000$	Link
Cristiano Digiacinto	Devils (N.J)	LW	21	1996-01-01	Yes	186 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No			Link
Dalton Thrower	Devils (N.J)	D	24	1993-01-01	Yes	200 Lbs	5 ft11	No	No	No	1	Pro & Farm	850,000$	0$	0$	No			Link
Damon Severson	Devils (N.J)	D	23	1994-01-01	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,500,000$	0$	0$	No			Link
Darren Dietz	Devils (N.J)	D	24	1993-01-01	Yes	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Eeli Tolvanen	Devils (N.J)	RW	18	1999-01-01	Yes	191 Lbs	5 ft10	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$		Link
Ilya Lyubushkin (Out of Payroll)	Devils (N.J)	D	23	1994-01-01	Yes	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	850,000$	0$	0$	Yes	950,000$		Link
Jake Bean	Devils (N.J)	D	19	1998-01-01	Yes	187 Lbs	6 ft1	No	No	No	1	Pro & Farm	500,000$	0$	0$	No			Link
Jonny Brodzinski	Devils (N.J)	C	24	1993-01-01	Yes	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	500,000$	0$	0$	No			Link
Joonas Donskoi	Devils (N.J)	RW	25	1992-01-01	No	180 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	0$	0$	No
Juuse Saros	Devils (N.J)	G	22	1995-01-01	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	900,000$	0$	0$	No			Link
Mason Marchment	Devils (N.J)	LW	22	1995-01-01	Yes	209 Lbs	6 ft4	No	No	No	1	Pro & Farm	500,000$	0$	0$	No			Link
Maxime Macenauer	Devils (N.J)	C	28	1989-01-01	No	203 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Miikka Salomaki	Devils (N.J)	LW	24	1993-01-01	No	203 Lbs	5 ft11	No	No	No	1	Pro & Farm	995,000$	0$	0$	No
Ondrej Kase	Devils (N.J)	RW	21	1996-01-01	Yes	186 Lbs	5 ft11	No	No	No	2	Pro & Farm	995,000$	0$	0$	No	1,300,000$		Link
Reid Boucher	Devils (N.J)	C	24	1993-01-01	Yes	195 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	0$	0$	No
Robbie Russo	Devils (N.J)	D	24	1993-01-01	Yes	189 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Valeri Nichushkin	Devils (N.J)	LW	22	1995-01-01	Yes	185 Lbs	6 ft4	No	No	No	1	Pro & Farm	900,000$	0$	0$	No			Link
Vincent Desharnais	Devils (N.J)	D	21	1996-01-01	Yes	227 Lbs	6 ft7	No	No	No	1	Pro & Farm	500,000$	0$	0$	No			Link
Wyatt Kalynuk	Devils (N.J)	D	20	1997-01-01	Yes	180 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$		Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	22.44	191 Lbs	6 ft1	1.36	767,600$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Valeri Nichushkin	Maxime Macenauer	Ondrej Kase	36	0	2	3
2	Miikka Salomaki	Alan Quine	Joonas Donskoi	30	0	2	3
3	Brett Seney	Reid Boucher	Conor Garland	24	0	2	3
4	Mason Marchment	Jonny Brodzinski	Eeli Tolvanen	10	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Damon Severson	Darren Dietz	40	0	3	2
2	Dalton Thrower	Christian Wolanin	30	0	3	2
3	Robbie Russo	Jake Bean	20	0	3	2
4	Wyatt Kalynuk	Vincent Desharnais	10	0	3	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Valeri Nichushkin	Maxime Macenauer	Ondrej Kase	60	0	1	4
2	Miikka Salomaki	Alan Quine	Joonas Donskoi	40	0	1	4

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Damon Severson	Darren Dietz	60	0	2	3
2	Dalton Thrower	Christian Wolanin	40	0	2	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Maxime Macenauer	Miikka Salomaki	60	1	3	1
2	Alan Quine	Valeri Nichushkin	40	1	3	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Damon Severson	Darren Dietz	60	1	4	0
2	Dalton Thrower	Christian Wolanin	40	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Maxime Macenauer	60	0	4	1	Damon Severson	Darren Dietz	60	0	5	0
2	Alan Quine	40	0	4	1	Dalton Thrower	Christian Wolanin	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Maxime Macenauer	Miikka Salomaki	60	0	2	3
2	Alan Quine	Valeri Nichushkin	40	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Damon Severson	Darren Dietz	60	0	3	2
2	Dalton Thrower	Christian Wolanin	40	0	3	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Miikka Salomaki	Maxime Macenauer	Ondrej Kase	Damon Severson	Darren Dietz

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Miikka Salomaki	Maxime Macenauer	Ondrej Kase	Damon Severson	Darren Dietz

Extra Forwards
Normal	PowerPlay	Penalty Kill
Joonas Donskoi, Alan Quine, Reid Boucher	Joonas Donskoi, Alan Quine	Joonas Donskoi

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jake Bean, Wyatt Kalynuk, Vincent Desharnais	Jake Bean	Jake Bean, Wyatt Kalynuk

Penalty Shots
Miikka Salomaki, Ondrej Kase, Maxime Macenauer, Valeri Nichushkin, Joonas Donskoi

Goalie
#1 : Juuse Saros, #2 : Calvin Pickard

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
1	Admirals	5	3	1	0	0	1	0	0	24	18	6	3	1	1	0	0	1	0	0	13	13	0	2	2	0	0	0	0	0	0	11	5	6	7	0.700	24	38	62	0	0	115	126	127	13	173	914	915	879	47	162	37	18	86	15	8	53.33%	9	2	77.78%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
2	Barracuda	2	2	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	5	4	1	4	1.000	11	18	29	0	0	115	126	127	13	57	914	915	879	47	62	11	8	40	12	2	16.67%	4	1	75.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
3	Bears	6	5	0	0	1	0	0	0	32	17	15	3	3	0	0	0	0	0	0	14	7	7	3	2	0	0	1	0	0	0	18	10	8	12	1.000	32	54	86	0	0	115	126	127	13	197	914	915	879	47	201	62	38	124	21	3	14.29%	19	2	89.47%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
4	Comets	3	0	1	0	2	0	0	0	14	13	1	2	0	0	0	2	0	0	0	10	8	2	1	0	1	0	0	0	0	0	4	5	-1	4	0.667	14	26	40	0	0	115	126	127	13	93	914	915	879	47	95	33	16	57	8	1	12.50%	8	1	87.50%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
5	Condors	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	5	7	12	0	0	115	126	127	13	65	914	915	879	47	62	19	8	29	9	0	0.00%	4	0	100.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
6	Crunch	3	1	1	0	0	1	0	0	17	15	2	2	1	1	0	0	0	0	0	10	7	3	1	0	0	0	0	1	0	0	7	8	-1	3	0.500	17	28	45	0	0	115	126	127	13	108	914	915	879	47	96	39	20	51	9	1	11.11%	10	1	90.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
7	Eagles	4	2	1	0	0	0	1	0	20	16	4	2	1	0	0	0	0	1	0	10	7	3	2	1	1	0	0	0	0	0	10	9	1	6	0.750	20	32	52	1	0	115	126	127	13	125	914	915	879	47	122	38	10	81	17	4	23.53%	5	2	60.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
8	Griffins	3	1	1	0	0	0	1	0	13	14	-1	1	1	0	0	0	0	0	0	5	3	2	2	0	1	0	0	0	1	0	8	11	-3	4	0.667	13	18	31	0	0	115	126	127	13	117	914	915	879	47	99	29	6	48	17	3	17.65%	3	0	100.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
9	Heat	2	1	1	0	0	0	0	0	11	11	0	1	1	0	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	11	18	29	0	0	115	126	127	13	69	914	915	879	47	66	13	4	46	12	1	8.33%	2	1	50.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
10	Icehogs	2	0	1	0	1	0	0	0	7	9	-2	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	7	10	17	0	0	115	126	127	13	68	914	915	879	47	65	30	12	36	9	3	33.33%	6	1	83.33%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
11	Little Stars	3	1	1	0	0	0	1	0	17	15	2	1	0	1	0	0	0	0	0	2	9	-7	2	1	0	0	0	0	1	0	15	6	9	4	0.667	17	27	44	0	0	115	126	127	13	97	914	915	879	47	123	41	18	64	8	3	37.50%	9	1	88.89%	2	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
12	Marlies	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	8	13	0	0	115	126	127	13	63	914	915	879	47	75	27	6	34	6	2	33.33%	3	1	66.67%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
13	Monsters	3	1	1	0	1	0	0	0	21	19	2	2	0	1	0	1	0	0	0	12	14	-2	1	1	0	0	0	0	0	0	9	5	4	4	0.667	21	35	56	0	0	115	126	127	13	108	914	915	879	47	107	30	16	71	16	4	25.00%	8	2	75.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
14	Moose	2	1	1	0	0	0	0	0	8	9	-1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	5	4	1	2	0.500	8	14	22	1	0	115	126	127	13	57	914	915	879	47	57	16	8	29	11	2	18.18%	4	1	75.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
15	Penguins	3	2	1	0	0	0	0	0	13	10	3	1	0	1	0	0	0	0	0	1	5	-4	2	2	0	0	0	0	0	0	12	5	7	4	0.667	13	22	35	0	0	115	126	127	13	94	914	915	879	47	96	21	15	66	12	4	33.33%	6	1	83.33%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
16	Phantoms	2	0	1	0	0	0	0	1	5	8	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0.250	5	8	13	0	0	115	126	127	13	61	914	915	879	47	65	35	10	51	11	0	0.00%	5	0	100.00%	2	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
17	Punishers	3	2	1	0	0	0	0	0	14	9	5	1	1	0	0	0	0	0	0	8	2	6	2	1	1	0	0	0	0	0	6	7	-1	4	0.667	14	26	40	0	0	115	126	127	13	114	914	915	879	47	89	38	19	64	8	4	50.00%	7	0	100.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
18	Rampage	4	3	1	0	0	0	0	0	24	22	2	2	1	1	0	0	0	0	0	9	12	-3	2	2	0	0	0	0	0	0	15	10	5	6	0.750	24	40	64	0	0	115	126	127	13	156	914	915	879	47	138	35	20	72	18	5	27.78%	10	1	90.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
19	Reign	2	0	1	0	0	0	1	0	10	10	0	1	0	1	0	0	0	0	0	4	5	-1	1	0	0	0	0	0	1	0	6	5	1	2	0.500	10	15	25	0	0	115	126	127	13	69	914	915	879	47	69	24	6	40	9	0	0.00%	3	1	66.67%	1	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
20	Rocket	2	1	0	0	0	0	0	1	10	7	3	1	0	0	0	0	0	0	1	4	5	-1	1	1	0	0	0	0	0	0	6	2	4	3	0.750	10	14	24	0	0	115	126	127	13	66	914	915	879	47	67	14	10	37	6	1	16.67%	5	0	100.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
21	Senators	2	0	2	0	0	0	0	0	5	13	-8	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	9	14	0	0	115	126	127	13	58	914	915	879	47	79	40	18	37	8	1	12.50%	9	4	55.56%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
22	Sound Tigers	7	3	2	0	0	0	1	1	35	32	3	4	1	1	0	0	0	1	1	18	17	1	3	2	1	0	0	0	0	0	17	15	2	9	0.643	35	59	94	0	0	115	126	127	13	244	914	915	879	47	221	71	42	146	33	7	21.21%	22	4	81.82%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
23	Thunderbirds	4	2	2	0	0	0	0	0	15	18	-3	1	1	0	0	0	0	0	0	5	2	3	3	1	2	0	0	0	0	0	10	16	-6	4	0.500	15	28	43	0	0	115	126	127	13	139	914	915	879	47	149	40	20	72	10	2	20.00%	10	4	60.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
24	Wolfpack	3	2	1	0	0	0	0	0	16	10	6	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	7	3	4	4	0.667	16	30	46	0	0	115	126	127	13	96	914	915	879	47	99	25	2	53	13	3	23.08%	1	0	100.00%	0	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
25	Wolves	6	5	1	0	0	0	0	0	26	13	13	3	3	0	0	0	0	0	0	12	7	5	3	2	1	0	0	0	0	0	14	6	8	10	0.833	26	41	67	0	0	115	126	127	13	234	914	915	879	47	166	53	38	123	41	8	19.51%	19	2	89.47%	1	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
	Total	80	39	26	0	5	2	5	3	378	327	51	40	18	13	0	4	1	2	2	180	167	13	40	21	13	0	1	1	3	1	198	160	38	103	0.644	378	625	1003	2	0	115	126	127	13	2728	914	915	879	47	2630	821	388	1557	339	72	21.24%	191	33	82.72%	6	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
	_Since Last GM Reset	80	39	26	0	5	2	5	3	378	327	51	40	18	13	0	4	1	2	2	180	167	13	40	21	13	0	1	1	3	1	198	160	38	103	0.644	378	625	1003	2	0	115	126	127	13	2728	914	915	879	47	2630	821	388	1557	339	72	21.24%	191	33	82.72%	6	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
	_Vs Conference	49	28	13	0	3	1	3	1	243	190	53	24	13	6	0	2	0	2	1	108	90	18	25	15	7	0	1	1	1	0	135	100	35	70	0.714	243	413	656	1	0	115	126	127	13	1697	914	915	879	47	1595	496	258	973	198	45	22.73%	126	19	84.92%	3	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741
	_Vs Division	19	13	3	0	1	0	1	1	93	62	31	10	7	1	0	0	0	1	1	44	31	13	9	6	2	0	1	0	0	0	49	31	18	31	0.816	93	154	247	0	0	115	126	127	13	675	914	915	879	47	588	186	118	393	95	18	18.95%	60	8	86.67%	1	907	1797	50.47%	877	1768	49.60%	692	1403	49.32%	1732	984	1673	734	1451	741

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
80	103	W4	378	625	1003	2728	2630	821	388	1557	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	39	26	5	2	5	3	378	327

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	18	13	4	1	2	2	180	167

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	21	13	1	1	3	1	198	160

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	1	1	0	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
339	72	21.24%	191	33	82.72%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
914	915	879	47	115	126	127	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
907	1797	50.47%	877	1768	49.60%	692	1403	49.32%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1732	984	1673	734	1451	741

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
3 - 2022-10-29	12	Devils	6	Sound Tigers	4	AW			R1	BoxScore
5 - 2022-10-31	22	Sound Tigers	5	Devils	4	BL				BoxScore
8 - 2022-11-03	42	Wolves	2	Devils	3	BW			R1	BoxScore
11 - 2022-11-06	52	Devils	3	Thunderbirds	2	AW				BoxScore
13 - 2022-11-08	65	Sound Tigers	6	Devils	5	BL	X	X	R1	BoxScore
15 - 2022-11-10	78	Devils	6	Wolves	1	AW				BoxScore
17 - 2022-11-12	88	Admirals	6	Devils	5	BL				BoxScore
19 - 2022-11-14	102	Devils	3	Bears	2	AW	X		R1	BoxScore
21 - 2022-11-16	111	Devils	6	Little Stars	5	AW	X	X		BoxScore
22 - 2022-11-17	121	Devils	3	Griffins	7	AL				BoxScore
23 - 2022-11-18	128	Monsters	7	Devils	4	BL				BoxScore
27 - 2022-11-22	147	Bears	2	Devils	4	BW			R1	BoxScore
30 - 2022-11-25	158	Devils	4	Admirals	3	AW				BoxScore
32 - 2022-11-27	167	Devils	3	Punishers	1	AW				BoxScore
34 - 2022-11-29	179	Admirals	4	Devils	3	BL	X			BoxScore
36 - 2022-12-01	189	Devils	3	Thunderbirds	8	AL				BoxScore
39 - 2022-12-04	205	Wolfpack	1	Devils	4	BW				BoxScore
41 - 2022-12-06	214	Devils	5	Barracuda	4	AW				BoxScore
44 - 2022-12-09	228	Admirals	3	Devils	5	BW				BoxScore
46 - 2022-12-11	243	Devils	6	Sound Tigers	4	AW			R1	BoxScore
49 - 2022-12-14	254	Barracuda	2	Devils	6	BW				BoxScore
54 - 2022-12-19	278	Condors	6	Devils	5	BL				BoxScore
56 - 2022-12-21	289	Devils	6	Reign	5	AW	X	X		BoxScore
59 - 2022-12-24	301	Crunch	4	Devils	8	BW				BoxScore
61 - 2022-12-26	312	Devils	7	Wolfpack	3	AW				BoxScore
64 - 2022-12-29	324	Devils	4	Penguins	2	AW				BoxScore
65 - 2022-12-30	333	Thunderbirds	2	Devils	5	BW				BoxScore
67 - 2023-01-01	346	Devils	9	Monsters	5	AW				BoxScore
69 - 2023-01-03	358	Rocket	5	Devils	4	BL	X	X		BoxScore
72 - 2023-01-06	371	Devils	6	Rocket	2	AW				BoxScore
74 - 2023-01-08	382	Wolfpack	6	Devils	5	BL				BoxScore
77 - 2023-01-11	394	Devils	4	Thunderbirds	6	AL				BoxScore
79 - 2023-01-13	408	Penguins	5	Devils	1	BL				BoxScore
84 - 2023-01-18	432	Heat	5	Devils	7	BW				BoxScore
86 - 2023-01-20	442	Devils	9	Little Stars	1	AW				BoxScore
89 - 2023-01-23	458	Griffins	3	Devils	5	BW				BoxScore
91 - 2023-01-25	473	Devils	4	Comets	5	AL				BoxScore
93 - 2023-01-27	483	Little Stars	9	Devils	2	BL				BoxScore
96 - 2023-01-30	501	Devils	2	Icehogs	5	AL				BoxScore
98 - 2023-02-01	511	Marlies	1	Devils	3	BW				BoxScore
101 - 2023-02-04	525	Devils	8	Rampage	6	AW				BoxScore
103 - 2023-02-06	536	Comets	4	Devils	5	BW	X			BoxScore
105 - 2023-02-08	549	Devils	7	Admirals	2	AW				BoxScore
107 - 2023-02-10	557	Devils	8	Penguins	3	AW				BoxScore
108 - 2023-02-11	565	Crunch	3	Devils	2	BL				BoxScore
112 - 2023-02-15	584	Devils	2	Marlies	4	AL				BoxScore
113 - 2023-02-16	591	Rampage	3	Devils	4	BW				BoxScore
116 - 2023-02-19	604	Devils	2	Wolves	3	AL			R1	BoxScore
118 - 2023-02-21	614	Senators	9	Devils	2	BL				BoxScore
120 - 2023-02-23	622	Devils	3	Senators	4	AL				BoxScore
123 - 2023-02-26	639	Devils	5	Griffins	4	AW	X	X		BoxScore
124 - 2023-02-27	644	Moose	5	Devils	3	BL				BoxScore
127 - 2023-03-02	657	Devils	3	Punishers	6	AL				BoxScore
129 - 2023-03-04	670	Bears	1	Devils	4	BW			R1	BoxScore
133 - 2023-03-08	693	Wolves	2	Devils	4	BW			R1	BoxScore
135 - 2023-03-10	707	Devils	7	Rampage	4	AW				BoxScore
137 - 2023-03-12	717	Devils	5	Moose	4	AW				BoxScore
138 - 2023-03-13	722	Monsters	7	Devils	8	BW	X			BoxScore
143 - 2023-03-18	746	Rampage	9	Devils	5	BL				BoxScore
147 - 2023-03-22	768	Bears	4	Devils	6	BW			R1	BoxScore
149 - 2023-03-24	777	Devils	4	Heat	6	AL				BoxScore
151 - 2023-03-26	786	Devils	5	Sound Tigers	7	AL			R1	BoxScore
153 - 2023-03-28	799	Sound Tigers	3	Devils	5	BW				BoxScore
157 - 2023-04-01	819	Devils	2	Phantoms	3	AL	X	X		BoxScore
159 - 2023-04-03	824	Devils	7	Crunch	8	AL	X			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
160 - 2023-04-04	830	Phantoms	5	Devils	3	BL				BoxScore
164 - 2023-04-08	850	Devils	5	Eagles	7	AL				BoxScore
165 - 2023-04-09	855	Sound Tigers	3	Devils	4	BW	X	X	R1	BoxScore
169 - 2023-04-13	876	Comets	4	Devils	5	BW	X			BoxScore
173 - 2023-04-17	898	Reign	5	Devils	4	BL				BoxScore
175 - 2023-04-19	907	Devils	0	Condors	2	AL				BoxScore
178 - 2023-04-22	919	Devils	6	Wolves	2	AW			R1	BoxScore
179 - 2023-04-23	926	Devils	5	Eagles	2	AW				BoxScore
181 - 2023-04-25	935	Eagles	4	Devils	5	BW	X	X		BoxScore
185 - 2023-04-29	955	Eagles	3	Devils	5	BW				BoxScore
189 - 2023-05-03	975	Icehogs	4	Devils	5	BW	X			BoxScore
195 - 2023-05-09	998	Punishers	2	Devils	8	BW				BoxScore
196 - 2023-05-10	1004	Devils	8	Bears	3	AW			R1	BoxScore
203 - 2023-05-17	1026	Wolves	3	Devils	5	BW			R1	BoxScore
204 - 2023-05-18	1033	Devils	7	Bears	5	AW				BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	75,552	37,982
Attendance PCT	94.44%	94.96%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2838 - 94.61%	84,369$	3,374,756$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,591,423$	1,834,000$	1,574,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
8,903$	1,813,373$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	12,544$	0$

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

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

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

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	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

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	PS %	PSA

	Devils
	GP: 80 \| W: 49 \| L: 26 \| OTL: 5 \| P: 103 GF: 378 \| GA: 327 \| PP%: 21.24% \| PK%: 82.72% GM : Matthieu Gauvin \| Morale : 65 \| Team Overall : 67