Devils
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
Web Lines Editor

Game Center
	Devils 14-59-9, 37pts	2	FINAL	5	Phantoms 50-31-1, 101pts

Team Stats
L2	Streak	W3
7-31-3	Home Record	24-17-0
7-28-6	Away Record	26-14-1
1-6-3	Last 10 Games	5-4-1
3.22	Goals Per Game	4.44
5.59	Goals Against Per Game	3.96
15.00%	Power Play Percentage	19.01%
71.19%	Penalty Kill Percentage	77.19%

Sound Tigers
32-48-2, 66pts

FINAL

Devils
14-59-9, 37pts

Team Stats
L1	Streak	L2
19-22-0	Home Record	7-31-3
13-26-2	Away Record	7-28-6
5-5-0	Last 10 Games	1-6-3
3.37	Goals Per Game	3.22
4.11	Goals Against Per Game	5.59
18.63%	Power Play Percentage	15.00%
78.69%	Penalty Kill Percentage	71.19%

Team Leaders




	Wins Jonas Johansson 9	Save Percentage Jonas Johansson 0.893

Team Stats
Goals For 264 3.22 GFG	Shots For 2956 36.05 Avg	Power Play Percentage 15.0% 33 GF	Offensive Zone Start 36.9%
Goals Against 458 5.59 GAA	Shots Against 4219 51.45 Avg	Penalty Kill Percentage 71.2% 68 GA	Defensive Zone Start 44.6%

Team Info
	General Manager	Alexandre Huet
	Coach	Jean-Francois Houle
	Division	North Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,999
	Season Tickets	300
Roster Info
	Pro Team	23
	Farm Team	18
	Contract Limit	41 / 80
	Prospects	80
Team History
	This Season	14-59-9 (37PTS)
	History	54-170-9 (0.232%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	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	Nils Aman (R)	0	X				100.00	65	37	93	66	76	81	75	64	72	63	59	70	60	63	64	0	75	64	0	23	3	950,000$
2	Pavel Dorofeyev (R)	0		X			100.00	64	40	80	66	76	84	81	64	62	61	68	59	66	63	65	0	75	64	0	23	1	925,000$
3	Markus Nurmi (R)	0			X		100.00	82	40	91	60	91	81	68	59	64	58	60	62	57	65	67	0	75	63	0	25	3	950,000$
4	Steven Fogarty	0	X				100.00	71	42	75	63	84	82	84	59	69	61	58	60	64	70	72	0	75	63	0	30	1	900,000$
5	Egor Afanasyev (R)	0		X			100.00	77	40	84	63	89	83	88	62	58	59	60	57	63	62	64	0	75	63	0	22	2	950,000$
6	Cross Hanas (R)	0		X			100.00	63	39	77	60	72	83	64	59	60	58	61	57	62	61	63	0	75	60	0	21	3	950,000$
7	Connor Bunnaman (R)	0	X	X			100.00	69	40	85	57	79	83	84	56	71	52	58	57	60	65	67	0	75	60	0	25	2	969,000$
8	Aidan Dudas (R)	0	X				100.00	61	36	86	58	61	80	85	57	59	58	57	53	57	63	65	0	75	59	0	23	1	925,000$
9	Ville Petman (R)	0	X				100.00	57	36	91	57	66	71	73	56	64	57	58	55	57	63	65	0	75	59	0	23	3	950,000$
10	Ozzy Wiesblatt (R)	0	X				100.00	60	39	78	56	68	69	67	55	58	57	56	54	53	61	63	0	75	58	0	21	3	950,000$
11	Isaak Phillips (R)	0				X	100.00	73	43	73	62	84	83	85	58	30	66	59	63	50	62	64	0	75	63	0	22	1	925,000$
12	Ben Gleason (R)	0				X	100.00	64	39	77	59	73	72	86	58	30	63	55	57	48	65	67	0	75	61	0	25	1	925,000$
13	Ronald Knot (R)	0				X	100.00	79	43	72	55	88	66	71	54	30	56	53	59	46	69	71	0	75	60	0	29	3	950,000$
14	Anttoni Honka (R)	0				X	100.00	57	37	90	59	66	70	72	58	30	63	54	55	47	63	65	0	75	59	0	23	3	950,000$
15	Mikko Kokkonen (R)	0				X	100.00	63	39	77	54	72	68	66	53	30	55	50	52	45	62	64	0	75	57	0	22	3	950,000$
16	Eemil Viro (R)	0				X	100.00	58	37	91	53	67	63	68	52	30	54	52	51	45	61	63	0	75	56	0	21	3	950,000$
Scratches
1	Joey Anderson (R)	0			X		99.14	66	37	94	66	76	83	84	67	66	62	68	69	67	65	66	0	75	66	0	25	2	950,000$
2	Otto Koivula (R)	0	X	X	X		100.00	79	65	80	63	94	75	82	64	60	65	58	62	60	65	67	0	75	64	0	25	2	975,000$
3	Michael O'Leary (R)	0		X			81.96	67	40	75	57	76	74	82	56	60	57	58	55	58	65	67	0	75	60	0	25	1	925,000$
4	Ville Koivunen (R)	0	X				100.00	56	36	94	51	65	77	60	50	57	51	50	52	50	60	62	0	75	55	0	20	3	950,000$
5	Kevin Bahl	0				X	100.00	84	72	74	62	98	84	82	58	30	65	59	67	50	63	65	0	75	64	0	23	1	925,000$

	TEAM AVERAGE					99.10	67	42	83	59	77	77	77	58	52	59	58	58	55	64	66	0	75	61

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	Jonas Johansson	100.00	75	64	65	93	74	73	75	74	73	75	74	68	81	0	75	66	0	28	3	1,050,000$
2	Dylan Wells (R)	100.00	68	60	61	78	67	66	68	67	66	68	67	65	73	0	75	61	0	25	1	950,000$
Scratches

	TEAM AVERAGE	100.00	72	62	63	86	71	70	72	71	70	72	71	67	77	0	75	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jean-Francois Houle	68	62	74	68	74	69	78	CAN	48	3	500,000$

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	EG	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Nils Aman	Devils (NJD)	C	54	24	39	63	17	16	0	66	164	230	55	194	10.43%	22	1169	21.66	2	3	5	41	146	0	1	1	6	91	3	2	52.68%	1456	0	1	1.08	0	2	0	0	2	4	2
2	Pavel Dorofeyev	Devils (NJD)	LW	27	15	15	30	-9	0	0	33	49	104	42	86	14.42%	15	642	23.81	3	4	7	21	73	1	0	1	2	92	1	0	40.30%	67	1	1	0.93	1	3	0	0	4	0	1
3	Otto Koivula	Devils (NJD)	C/LW/RW	27	6	18	24	-12	26	0	90	90	95	33	68	6.32%	5	606	22.48	3	5	8	15	72	0	0	0	1	34	0	0	47.34%	790	0	1	0.79	0	2	0	0	1	4	1
4	Egor Afanasyev	Devils (NJD)	LW	27	10	11	21	3	10	0	58	52	92	25	61	10.87%	11	570	21.15	1	1	2	17	74	0	0	0	1	71	4	0	46.04%	202	0	0	0.74	0	0	0	0	0	1	3
5	Isaak Phillips	Devils (NJD)	D	27	5	14	19	-3	20	0	31	46	47	11	44	10.64%	49	695	25.77	2	3	5	24	76	0	0	0	0	75	0	0	0.00%	0	0	0	0.55	0	0	0	0	0	1	1
6	Kevin Bahl	Devils (NJD)	D	23	5	12	17	1	32	0	70	38	49	15	23	10.20%	45	581	25.29	1	4	5	23	66	0	0	0	1	53	1	0	0.00%	0	0	0	0.58	0	0	0	0	1	0	1
7	Ville Petman	Devils (NJD)	C	27	6	9	15	-11	2	0	9	24	41	15	37	14.63%	3	480	17.78	2	4	6	8	55	0	0	0	0	25	2	2	47.06%	51	0	0	0.62	0	1	0	0	0	2	0
8	Markus Nurmi	Devils (NJD)	RW	21	5	9	14	4	4	0	30	21	59	20	40	8.47%	8	316	15.05	1	2	3	15	46	0	0	0	0	0	0	0	50.00%	22	0	0	0.89	1	1	0	0	1	0	2
9	Steven Fogarty	Devils (NJD)	C	27	6	5	11	-7	8	0	50	72	52	23	51	11.54%	9	375	13.91	0	0	0	0	0	0	0	0	0	0	0	0	50.48%	420	0	0	0.59	0	0	0	0	1	0	1
10	Michael O'Leary	Devils (NJD)	LW	26	5	5	10	-2	9	5	33	17	57	13	45	8.77%	5	399	15.38	0	0	0	0	0	0	0	0	0	0	0	0	30.30%	33	0	0	0.50	0	0	0	1	0	1	0
11	Anttoni Honka	Devils (NJD)	D	27	0	9	9	-3	8	0	16	34	32	13	19	0.00%	25	496	18.40	0	2	2	16	65	0	0	0	1	69	0	0	0.00%	0	0	0	0.36	0	0	0	0	0	0	0
12	Cross Hanas	Devils (NJD)	LW	27	4	5	9	-6	10	0	16	23	52	18	52	7.69%	5	381	14.14	0	0	0	0	2	0	0	0	0	5	0	0	45.16%	31	0	0	0.47	0	0	0	0	1	1	0
13	Connor Bunnaman	Devils (NJD)	C/LW	27	0	9	9	-2	14	0	59	22	23	7	19	0.00%	17	399	14.79	0	0	0	0	0	0	0	0	0	2	0	0	51.47%	68	0	0	0.45	0	0	0	0	0	0	0
14	Mikko Kokkonen	Devils (NJD)	D	25	0	8	8	-7	13	5	22	9	12	5	4	0.00%	23	421	16.88	0	0	0	3	13	0	0	0	0	9	0	0	0.00%	0	0	0	0.38	0	0	1	0	0	1	0
15	Ronald Knot	Devils (NJD)	D	26	1	6	7	-7	37	5	72	6	22	7	12	4.55%	40	520	20.01	1	0	1	7	56	0	0	0	1	46	0	0	0.00%	0	0	0	0.27	0	0	0	1	0	0	0
16	Ozzy Wiesblatt	Devils (NJD)	C	27	2	3	5	-2	2	0	3	12	19	8	18	10.53%	3	217	8.07	0	0	0	6	25	0	1	1	1	25	0	0	40.43%	47	0	0	0.46	0	0	0	0	0	0	0
17	Joey Anderson	Devils (NJD)	RW	14	3	1	4	0	0	0	4	16	31	7	16	9.68%	6	134	9.59	0	0	0	7	17	0	0	0	1	20	0	0	42.11%	57	0	0	0.60	0	0	0	0	0	0	0
18	Ben Gleason	Devils (NJD)	D	19	0	3	3	-4	2	0	10	4	5	4	7	0.00%	10	143	7.53	0	1	1	1	14	0	0	0	0	14	0	0	0.00%	0	0	0	0.42	0	0	0	0	0	0	0
19	Aidan Dudas	Devils (NJD)	C	18	0	2	2	0	0	0	2	2	4	0	3	0.00%	0	37	2.06	0	1	1	0	4	0	0	0	0	2	0	0	42.42%	33	0	0	1.08	0	0	0	0	0	0	0
20	Eemil Viro	Devils (NJD)	D	25	0	0	0	0	0	0	0	1	4	3	1	0.00%	3	52	2.10	0	0	0	1	5	0	0	0	1	26	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0
21	Ville Koivunen	Devils (NJD)	C	7	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.11	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0
Team Total or Average				528	97	183	280	-50	213	15	674	702	1030	324	800	9.42%	304	8645	16.37	16	30	46	205	821	1	2	3	16	668	11	4	49.56%	3277	1	3	0.65	2	9	1	2	11	15	12

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	A	PS %	PSA	ST	BG	S1	S3
1	Jonas Johansson	Devils (NJD)	27	9	10	6	0.893	3.71	1552	4	1	96	901	1	0.778	9	27	0	2	1
2	Dylan Wells	Devils (NJD)	2	0	2	0	0.852	5.46	88	0	0	8	54	0	0.000	0	0	27	0	0
Team Total or Average			29	9	12	6	0.891	3.80	1641	4	1	104	955	1	0.778	9	27	27	2	1

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 Average	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Aidan Dudas	Devils (NJD)	C	23	6/15/2000	Yes	162 Lbs	5 ft8	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Anttoni Honka	Devils (NJD)	D	23	10/5/2000	Yes	179 Lbs	5 ft10	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Ben Gleason	Devils (NJD)	D	25	3/25/1998	Yes	180 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Connor Bunnaman	Devils (NJD)	C/LW	25	4/16/1998	Yes	207 Lbs	6 ft1	No	No	No	2	Pro & Farm	969,000$	969,000$	0$	0$	No	969,000$		Link / NHL Link
Cross Hanas	Devils (NJD)	LW	21	1/5/2002	Yes	171 Lbs	6 ft1	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	Link / NHL Link
Dylan Wells	Devils (NJD)	G	25	1/3/1998	Yes	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No			Link / NHL Link
Eemil Viro	Devils (NJD)	D	21	4/3/2002	Yes	165 Lbs	6 ft0	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link
Egor Afanasyev	Devils (NJD)	LW	22	1/23/2001	Yes	211 Lbs	6 ft4	No	No	No	2	Pro & Farm	950,000$	950,000$	0$	0$	No	950,000$		Link / NHL Link
Isaak Phillips	Devils (NJD)	D	22	9/28/2001	Yes	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Joey Anderson	Devils (NJD)	RW	25	6/19/1998	Yes	207 Lbs	6 ft0	No	No	No	2	Pro & Farm	950,000$	816,667$	0$	0$	No	550,000$		Link / NHL Link
Jonas Johansson (1 Way Contract)	Devils (NJD)	G	28	9/19/1995	No	220 Lbs	6 ft5	No	No	No	3	Pro & Farm	1,050,000$	1,050,000$	1,050,000$	0$	No	1,050,000$	1,050,000$	Link / NHL Link
Kevin Bahl	Devils (NJD)	D	23	6/27/2000	No	230 Lbs	6 ft6	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Markus Nurmi	Devils (NJD)	RW	25	6/29/1998	Yes	206 Lbs	6 ft5	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link
Michael O'Leary (Out of Payroll)	Devils (NJD)	LW	25	1/1/1998	Yes	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	Yes			Link / NHL Link
Mikko Kokkonen	Devils (NJD)	D	22	1/18/2001	Yes	198 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link
Nils Aman	Devils (NJD)	C	23	2/7/2000	Yes	179 Lbs	6 ft2	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link
Otto Koivula	Devils (NJD)	C/LW/RW	25	9/1/1998	Yes	225 Lbs	6 ft5	No	No	No	2	Pro & Farm	975,000$	975,000$	0$	0$	No	975,000$		Link / NHL Link
Ozzy Wiesblatt	Devils (NJD)	C	21	3/9/2002	Yes	183 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link
Pavel Dorofeyev	Devils (NJD)	LW	23	10/26/2000	Yes	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Ronald Knot	Devils (NJD)	D	29	8/3/1994	Yes	210 Lbs	6 ft4	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link
Steven Fogarty	Devils (NJD)	C	30	4/19/1993	No	204 Lbs	6 ft3	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	0$	No			Link / NHL Link
Ville Koivunen	Devils (NJD)	C	20	6/13/2003	Yes	161 Lbs	5 ft11	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link
Ville Petman	Devils (NJD)	C	23	1/18/2000	Yes	180 Lbs	5 ft10	No	No	No	3	Pro & Farm	950,000$	550,000$	0$	0$	No	950,000$	950,000$	NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	23.87	194 Lbs	6 ft1	2.13	947,565$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Pavel Dorofeyev		Ville Petman	40	1	2	2
2	Egor Afanasyev	Nils Aman	Ozzy Wiesblatt	30	1	2	2
3	Cross Hanas	Steven Fogarty		20	1	2	2
4	Nils Aman	Connor Bunnaman		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ronald Knot	Isaak Phillips	40	1	2	2
2	Mikko Kokkonen	Ben Gleason	30	1	2	2
3	Anttoni Honka	Connor Bunnaman	20	1	2	2
4	Ben Gleason	Isaak Phillips	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Pavel Dorofeyev		Ville Petman	60	1	2	2
2	Egor Afanasyev	Nils Aman	Ozzy Wiesblatt	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Gleason	Isaak Phillips	60	1	2	2
2	Anttoni Honka	Mikko Kokkonen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Egor Afanasyev	Pavel Dorofeyev	60	1	2	2
2		Ville Petman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Mikko Kokkonen	Isaak Phillips	60	1	2	2
2	Anttoni Honka	Ben Gleason	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2	Ben Gleason	Isaak Phillips	60	1	2	2
2	Pavel Dorofeyev	40	1	2	2	Mikko Kokkonen	Anttoni Honka	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Egor Afanasyev	Pavel Dorofeyev	60	1	2	2
2		Ville Petman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Gleason	Isaak Phillips	60	1	2	2
2	Anttoni Honka	Mikko Kokkonen	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Pavel Dorofeyev		Nils Aman	Ben Gleason	Isaak Phillips

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Pavel Dorofeyev		Nils Aman	Ben Gleason	Isaak Phillips

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Ville Petman, Ozzy Wiesblatt	, Ville Petman	Ozzy Wiesblatt

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Anttoni Honka, Mikko Kokkonen, Isaak Phillips	Anttoni Honka	Isaak Phillips, Anttoni Honka

Penalty Shots
Nils Aman, Pavel Dorofeyev, , Ville Petman, Egor Afanasyev

Goalie
#1 : Jonas Johansson, #2 : Dylan Wells

Custom OT Lines Forwards
Ville Petman, Pavel Dorofeyev, , Nils Aman, Egor Afanasyev, Steven Fogarty, Steven Fogarty, Ozzy Wiesblatt, Cross Hanas, , Connor Bunnaman

Custom OT Lines Defensemen
Ronald Knot, Isaak Phillips, Mikko Kokkonen, Ben Gleason, Anttoni Honka

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	2	0	1	0	0	0	0	1	8	15	-7	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	4	10	-6	1	0.250	8	15	23	0	0	104	91	68	2	87	1003	981	963	18	94	26	12	42	11	4	36.36%	5	1	80.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
2	Americans	3	2	1	0	0	0	0	0	14	14	0	2	2	0	0	0	0	0	0	10	7	3	1	0	1	0	0	0	0	0	4	7	-3	4	0.667	14	27	41	0	0	104	91	68	2	141	1003	981	963	18	128	36	4	78	7	1	14.29%	1	1	0.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
3	Barracuda	2	0	1	0	0	1	0	0	7	12	-5	1	0	1	0	0	0	0	0	2	6	-4	1	0	0	0	0	1	0	0	5	6	-1	1	0.250	7	14	21	0	0	104	91	68	2	68	1003	981	963	18	104	38	22	68	4	1	25.00%	10	3	70.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
4	Bears	4	1	3	0	0	0	0	0	12	28	-16	2	0	2	0	0	0	0	0	5	17	-12	2	1	1	0	0	0	0	0	7	11	-4	2	0.250	12	21	33	0	0	104	91	68	2	150	1003	981	963	18	233	77	33	104	13	2	15.38%	8	4	50.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
5	Bruins	3	0	2	0	0	1	0	0	13	18	-5	1	0	1	0	0	0	0	0	2	4	-2	2	0	1	0	0	1	0	0	11	14	-3	1	0.167	13	24	37	0	0	104	91	68	2	108	1003	981	963	18	137	40	20	78	6	2	33.33%	11	4	63.64%	1	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
6	Checkers	3	1	2	0	0	0	0	0	15	19	-4	2	0	2	0	0	0	0	0	9	14	-5	1	1	0	0	0	0	0	0	6	5	1	2	0.333	15	28	43	0	0	104	91	68	2	148	1003	981	963	18	198	54	14	93	4	1	25.00%	6	2	66.67%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
7	Comets	2	0	2	0	0	0	0	0	4	14	-10	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	4	8	12	0	0	104	91	68	2	71	1003	981	963	18	121	30	6	49	4	1	25.00%	3	1	66.67%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
8	Condors	2	0	2	0	0	0	0	0	6	14	-8	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	4	8	-4	0	0.000	6	11	17	0	0	104	91	68	2	56	1003	981	963	18	117	34	8	52	4	1	25.00%	4	1	75.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
9	Crunch	3	0	3	0	0	0	0	0	9	20	-11	1	0	1	0	0	0	0	0	0	4	-4	2	0	2	0	0	0	0	0	9	16	-7	0	0.000	9	16	25	0	0	104	91	68	2	107	1003	981	963	18	156	52	28	77	8	0	0.00%	13	5	61.54%	1	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
10	Eagles	2	0	2	0	0	0	0	0	5	15	-10	1	0	1	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	5	10	15	0	0	104	91	68	2	61	1003	981	963	18	134	36	10	61	6	1	16.67%	4	1	75.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
11	Firebirds	2	0	2	0	0	0	0	0	8	13	-5	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	8	14	22	0	0	104	91	68	2	96	1003	981	963	18	139	48	16	61	5	0	0.00%	6	2	66.67%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
12	Griffins	3	1	2	0	0	0	0	0	7	12	-5	2	0	2	0	0	0	0	0	4	10	-6	1	1	0	0	0	0	0	0	3	2	1	2	0.333	7	14	21	0	0	104	91	68	2	100	1003	981	963	18	179	52	20	70	4	0	0.00%	8	2	75.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
13	Gulls	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	5	9	-4	1	1	0	0	0	0	0	0	5	0	5	2	0.500	10	19	29	0	1	104	91	68	2	84	1003	981	963	18	112	31	8	49	6	0	0.00%	4	1	75.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
14	IceHogs	2	0	2	0	0	0	0	0	6	15	-9	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	6	12	18	0	0	104	91	68	2	70	1003	981	963	18	106	37	18	61	3	0	0.00%	8	5	37.50%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
15	Marlies	3	0	1	0	0	1	0	1	6	13	-7	1	0	1	0	0	0	0	0	1	6	-5	2	0	0	0	0	1	0	1	5	7	-2	2	0.333	6	11	17	0	0	104	91	68	2	95	1003	981	963	18	108	25	20	73	10	2	20.00%	10	1	90.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
16	Monsters	4	0	4	0	0	0	0	0	13	29	-16	2	0	2	0	0	0	0	0	8	14	-6	2	0	2	0	0	0	0	0	5	15	-10	0	0.000	13	25	38	0	0	104	91	68	2	113	1003	981	963	18	264	67	42	112	14	2	14.29%	22	6	72.73%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
17	Moose	2	0	2	0	0	0	0	0	8	14	-6	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	5	10	-5	0	0.000	8	16	24	0	0	104	91	68	2	74	1003	981	963	18	100	23	12	33	6	1	16.67%	6	3	50.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
18	Penguins	3	2	0	0	0	1	0	0	9	6	3	2	2	0	0	0	0	0	0	7	3	4	1	0	0	0	0	1	0	0	2	3	-1	5	0.833	9	18	27	0	0	104	91	68	2	83	1003	981	963	18	119	41	14	86	13	2	15.38%	7	1	85.71%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
19	Phantoms	4	0	4	0	0	0	0	0	10	24	-14	2	0	2	0	0	0	0	0	4	14	-10	2	0	2	0	0	0	0	0	6	10	-4	0	0.000	10	19	29	0	0	104	91	68	2	142	1003	981	963	18	239	76	16	120	10	1	10.00%	8	0	100.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
20	Reign	2	0	1	0	0	1	0	0	5	11	-6	1	0	1	0	0	0	0	0	2	7	-5	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	5	10	15	0	0	104	91	68	2	88	1003	981	963	18	81	23	8	36	8	1	12.50%	3	2	33.33%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
21	Roadrunners	2	0	1	0	0	0	1	0	7	9	-2	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	0	0	1	0	5	4	1	2	0.500	7	10	17	0	0	104	91	68	2	93	1003	981	963	18	70	31	4	52	4	0	0.00%	2	0	100.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
22	Rocket	3	0	2	0	0	1	0	0	8	17	-9	2	0	1	0	0	1	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	8	-5	1	0.167	8	16	24	0	0	104	91	68	2	90	1003	981	963	18	148	42	16	73	8	0	0.00%	7	3	57.14%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
23	Senators	3	0	3	0	0	0	0	0	8	16	-8	1	0	1	0	0	0	0	0	3	4	-1	2	0	2	0	0	0	0	0	5	12	-7	0	0.000	8	15	23	0	0	104	91	68	2	99	1003	981	963	18	121	34	39	68	8	1	12.50%	11	1	90.91%	1	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
24	Silver Knights	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	4	6	10	1	0	104	91	68	2	72	1003	981	963	18	83	23	10	46	6	0	0.00%	4	1	75.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
25	Sound Tigers	4	1	3	0	0	0	0	0	14	18	-4	2	0	2	0	0	0	0	0	6	11	-5	2	1	1	0	0	0	0	0	8	7	1	2	0.250	14	27	41	0	0	104	91	68	2	149	1003	981	963	18	199	62	20	88	10	3	30.00%	10	2	80.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
26	Stars	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	5	10	15	0	0	104	91	68	2	57	1003	981	963	18	89	31	12	46	3	1	33.33%	6	2	66.67%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
27	Thunderbirds	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	14	21	0	0	104	91	68	2	60	1003	981	963	18	87	14	12	47	6	0	0.00%	6	2	66.67%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
28	Wild	2	0	2	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	6	12	18	0	0	104	91	68	2	80	1003	981	963	18	121	28	8	47	5	2	40.00%	4	1	75.00%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
29	Wolf Pack	4	2	2	0	0	0	0	0	12	20	-8	2	1	1	0	0	0	0	0	7	11	-4	2	1	1	0	0	0	0	0	5	9	-4	4	0.500	12	24	36	0	0	104	91	68	2	142	1003	981	963	18	171	48	56	103	11	2	18.18%	23	6	73.91%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
30	Wolves	3	1	2	0	0	0	0	0	11	17	-6	1	1	0	0	0	0	0	0	5	3	2	2	0	2	0	0	0	0	0	6	14	-8	2	0.333	11	21	32	0	0	104	91	68	2	106	1003	981	963	18	146	40	22	76	9	0	0.00%	11	4	63.64%	0	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
31	Wranglers	2	0	1	0	0	1	0	0	7	11	-4	1	0	0	0	0	1	0	0	5	6	-1	1	0	1	0	0	0	0	0	2	5	-3	1	0.250	7	13	20	0	0	104	91	68	2	66	1003	981	963	18	115	25	8	51	4	1	25.00%	5	0	100.00%	1	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
	Total	82	13	59	0	0	7	1	2	264	458	-194	41	7	31	0	0	2	0	1	124	231	-107	41	6	28	0	0	5	1	1	140	227	-87	37	0.226	264	500	764	1	1	104	91	68	2	2956	1003	981	963	18	4219	1224	538	2100	220	33	15.00%	236	68	71.19%	4	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
	_Since Last GM Reset	82	13	59	0	0	7	1	2	264	458	-194	41	7	31	0	0	2	0	1	124	231	-107	41	6	28	0	0	5	1	1	140	227	-87	37	0.226	264	500	764	1	1	104	91	68	2	2956	1003	981	963	18	4219	1224	538	2100	220	33	15.00%	236	68	71.19%	4	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
	_Vs Conference	45	10	30	0	0	3	1	1	146	240	-94	23	5	17	0	0	1	0	0	69	129	-60	22	5	13	0	0	2	1	1	77	111	-34	26	0.289	146	273	419	0	1	104	91	68	2	1690	1003	981	963	18	2262	687	294	1174	121	16	13.22%	119	30	74.79%	2	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
	_Vs Division	24	2	14	0	0	2	0	1	80	129	-49	12	2	6	0	0	1	0	0	34	58	-24	12	0	8	0	0	1	0	1	46	71	-25	7	0.146	80	151	231	0	0	104	91	68	2	888	1003	981	963	18	1175	335	161	610	55	7	12.73%	67	19	71.64%	3	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	37	L2	264	500	764	2956	4219	1224	538	2100	1	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	13	59	0	7	1	2	264	458

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	7	31	0	2	0	1	124	231

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	6	28	0	5	1	1	140	227

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	6	0	1	0	2

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
220	33	15.00%	236	68	71.19%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
1003	981	963	18	104	91	68	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1494	994	2462	612	989	438

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	Link
3 - 2023-10-12	12	Griffins	5	Devils	2	BL			BoxScore
4 - 2023-10-13	17	Roadrunners	5	Devils	2	BL			BoxScore
7 - 2023-10-16	36	Checkers	8	Devils	5	BL			BoxScore
11 - 2023-10-20	64	Devils	3	Sound Tigers	4	AL			BoxScore
15 - 2023-10-24	87	Devils	3	Rocket	8	AL			BoxScore
16 - 2023-10-25	99	Bears	9	Devils	1	BL			BoxScore
18 - 2023-10-27	113	Americans	2	Devils	3	BW			BoxScore
20 - 2023-10-29	127	Wild	8	Devils	3	BL			BoxScore
24 - 2023-11-02	151	Devils	3	Wild	4	AL			BoxScore
25 - 2023-11-03	158	Devils	3	Thunderbirds	5	AL			BoxScore
27 - 2023-11-05	174	Devils	4	IceHogs	7	AL			BoxScore
29 - 2023-11-07	188	Devils	2	Eagles	5	AL			BoxScore
32 - 2023-11-10	206	Bears	8	Devils	4	BL			BoxScore
36 - 2023-11-14	236	Devils	5	Moose	10	AL			BoxScore
38 - 2023-11-16	245	Devils	2	Penguins	3	AL	X		BoxScore
40 - 2023-11-18	262	Wolf Pack	7	Devils	1	BL			BoxScore
44 - 2023-11-22	281	Devils	3	Griffins	2	AW			BoxScore
46 - 2023-11-24	297	Monsters	6	Devils	4	BL			BoxScore
47 - 2023-11-25	310	Americans	5	Devils	7	BW			BoxScore
50 - 2023-11-28	327	Sound Tigers	7	Devils	4	BL			BoxScore
52 - 2023-11-30	344	Devils	4	Phantoms	5	AL			BoxScore
53 - 2023-12-01	355	Barracuda	6	Devils	2	BL			BoxScore
57 - 2023-12-05	387	Devils	2	Comets	6	AL			BoxScore
59 - 2023-12-07	403	Devils	5	Firebirds	6	AL			BoxScore
61 - 2023-12-09	409	Devils	2	Wranglers	5	AL			BoxScore
62 - 2023-12-10	421	Devils	4	Condors	8	AL			BoxScore
65 - 2023-12-13	443	Bruins	4	Devils	2	BL			BoxScore
68 - 2023-12-16	464	Devils	2	Monsters	7	AL			BoxScore
69 - 2023-12-17	476	Gulls	9	Devils	5	BL			BoxScore
71 - 2023-12-19	487	Phantoms	8	Devils	4	BL			BoxScore
73 - 2023-12-21	501	Condors	6	Devils	2	BL			BoxScore
75 - 2023-12-23	519	Griffins	5	Devils	2	BL			BoxScore
79 - 2023-12-27	528	Monsters	8	Devils	4	BL			BoxScore
81 - 2023-12-29	549	Devils	2	Senators	6	AL			BoxScore
82 - 2023-12-30	557	Devils	7	Bruins	8	AL	X		BoxScore
86 - 2024-01-03	587	Devils	6	Bears	4	AW			BoxScore
88 - 2024-01-05	602	IceHogs	8	Devils	2	BL			BoxScore
89 - 2024-01-06	612	Comets	8	Devils	2	BL			BoxScore
94 - 2024-01-11	644	Devils	5	Crunch	7	AL			BoxScore
96 - 2024-01-13	656	Devils	6	Checkers	5	AW			BoxScore
98 - 2024-01-15	671	Devils	4	Bruins	6	AL			BoxScore
100 - 2024-01-17	690	Rocket	5	Devils	2	BL			BoxScore
102 - 2024-01-19	703	Devils	3	Monsters	8	AL			BoxScore
103 - 2024-01-20	712	Stars	5	Devils	3	BL			BoxScore
105 - 2024-01-22	725	Silver Knights	5	Devils	3	BL			BoxScore
108 - 2024-01-25	746	Devils	3	Wolves	9	AL			BoxScore
110 - 2024-01-27	768	Devils	4	Crunch	9	AL			BoxScore
120 - 2024-02-06	787	Eagles	10	Devils	3	BL			BoxScore
122 - 2024-02-08	796	Wranglers	6	Devils	5	BL	X		BoxScore
124 - 2024-02-10	811	Devils	3	Wolves	5	AL			BoxScore
126 - 2024-02-12	819	Firebirds	7	Devils	3	BL			BoxScore
127 - 2024-02-13	831	Devils	4	Admirals	10	AL			BoxScore
129 - 2024-02-15	839	Reign	7	Devils	2	BL			BoxScore
131 - 2024-02-17	859	Phantoms	6	Devils	0	BL			BoxScore
134 - 2024-02-20	879	Devils	1	Bears	7	AL			BoxScore
136 - 2024-02-22	891	Wolf Pack	4	Devils	6	BW			BoxScore
138 - 2024-02-24	903	Rocket	4	Devils	3	BL	X		BoxScore
139 - 2024-02-25	916	Crunch	4	Devils	0	BL			BoxScore
141 - 2024-02-27	938	Devils	5	Barracuda	6	AL	X		BoxScore
144 - 2024-03-01	955	Devils	5	Gulls	0	AW			BoxScore
146 - 2024-03-03	970	Devils	3	Reign	4	AL	X		BoxScore
148 - 2024-03-05	982	Checkers	6	Devils	4	BL			BoxScore
150 - 2024-03-07	997	Thunderbirds	1	Devils	4	BW			BoxScore
152 - 2024-03-09	1011	Wolves	3	Devils	5	BW			BoxScore
154 - 2024-03-11	1028	Devils	3	Wolf Pack	1	AW			BoxScore
157 - 2024-03-14	1053	Devils	2	Stars	3	AL			BoxScore
159 - 2024-03-16	1062	Devils	5	Roadrunners	4	AW	X	X	BoxScore
160 - 2024-03-17	1074	Devils	1	Silver Knights	4	AL			BoxScore
162 - 2024-03-19	1084	Penguins	2	Devils	3	BW			BoxScore
164 - 2024-03-21	1102	Moose	4	Devils	3	BL			BoxScore
166 - 2024-03-23	1117	Senators	4	Devils	3	BL			BoxScore
167 - 2024-03-24	1126	Devils	5	Sound Tigers	3	AW			BoxScore
169 - 2024-03-26	1139	Devils	2	Marlies	3	AL	X	X	BoxScore
172 - 2024-03-29	1164	Devils	4	Americans	7	AL			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
176 - 2024-04-02	1191	Penguins	1	Devils	4	BW			BoxScore
177 - 2024-04-03	1198	Devils	2	Wolf Pack	8	AL			BoxScore
180 - 2024-04-06	1224	Devils	3	Senators	6	AL			BoxScore
181 - 2024-04-07	1233	Admirals	5	Devils	4	BL	X	X	BoxScore
183 - 2024-04-09	1243	Marlies	6	Devils	1	BL			BoxScore
185 - 2024-04-11	1260	Devils	3	Marlies	4	AL	X		BoxScore
187 - 2024-04-13	1274	Devils	2	Phantoms	5	AL			BoxScore
189 - 2024-04-15	1288	Sound Tigers	4	Devils	2	BL			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	20	10
Attendance	81,959	41,000
Attendance PCT	99.95%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2999 - 99.97%	62,475$	2,561,475$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,538,358$	1,981,900$	1,568,567$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
10,322$	2,035,422$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	12,927$	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
1	Anders Bjork	59	42	49	91	0	16	145	205	450	9.33%	51	1456	24.69	7	12	19	80	2	1	3	8	9	2	51.61%	3	1.25	1	1
2	Otto Koivula	109	30	53	83	21	65	214	227	270	11.11%	22	1448	13.29	3	5	8	16	0	0	0	1	1	0	51.00%	1	1.15	0	3
3	Eric Robinson	81	28	38	66	33	8	80	118	229	12.23%	35	875	10.81	0	0	0	0	0	0	0	1	7	2	53.09%	0	1.51	0	2
4	Nils Aman	54	24	39	63	17	16	66	164	230	10.43%	22	1169	21.66	2	3	5	41	0	1	1	6	3	2	52.68%	1	1.08	0	2
5	Pavel Dorofeyev	108	24	38	62	-3	4	72	106	225	10.67%	26	1075	9.96	3	4	7	21	1	0	1	2	1	0	39.80%	1	1.15	1	3

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	Jonas Johansson	108	42	47	15	0.905	3.93	6220	20	5	407	4280	0	4	2	0.706	17
2	Dylan Wells	5	0	2	0	0.882	4.02	179	0	0	12	102	0	0	0	0.000	0

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
23	82	26	40	0	6	8	1	1	313	339	-26	41	16	18	0	1	6	0	0	165	171	-6	41	10	22	0	5	2	1	1	148	168	-20	75	313	546	859	2	4	113	100	93	9	3229	1124	1033	1022	58	3577	1061	533	1986	242	47	19.42%	232	54	76.72%	4	1389	3088	44.98%	1482	3450	42.96%	621	1408	44.11%	1854	1313	2115	580	990	475
2022	82	6	71	0	0	4	1	0	239	530	-291	41	0	36	0	0	4	1	0	112	263	-151	41	6	35	0	0	0	0	0	127	267	-140	18	239	462	701	1	0	91	83	64	2	3101	1063	999	1030	13	4708	1349	495	2139	203	39	19.21%	218	74	66.06%	1	843	2856	29.52%	1148	3749	30.62%	514	1535	33.49%	1315	863	2644	608	973	405
2023	82	13	59	0	0	7	1	2	264	458	-194	41	7	31	0	0	2	0	1	124	231	-107	41	6	28	0	0	5	1	1	140	227	-87	37	264	500	764	1	1	104	91	68	2	2956	1003	981	963	18	4219	1224	538	2100	220	33	15.00%	236	68	71.19%	4	1108	2928	37.84%	1297	3536	36.68%	559	1472	37.98%	1494	994	2462	612	989	438
Total Regular Season	246	45	170	0	6	19	3	3	816	1327	-511	123	23	85	0	1	12	1	1	401	665	-264	123	22	85	0	5	7	2	2	415	662	-247	130	816	1508	2324	4	5	308	274	225	13	9286	3190	3013	3015	89	12504	3634	1566	6225	665	119	17.89%	686	196	71.43%	9	3340	8872	37.65%	3927	10735	36.58%	1694	4415	38.37%	4663	3171	7222	1801	2952	1319

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: 82 \| W: 14 \| L: 59 \| OTL: 9 \| P: 37 GF: 264 \| GA: 458 \| PP%: 15.00% \| PK%: 71.19% GM : Alexandre Huet \| Morale : 75 \| Team Overall : 61