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

Game Center
	Condors 16-5-0, 32pts	2	FINAL	1	Comets 9-10-0, 18pts

Team Stats
W1	Streak	OTL1
9-3-0	Home Record	4-4-0
7-2-0	Home Record	5-6-0
7-3-0	Last 10 Games	4-5-1
3.86	Goals Per Game	2.53
2.52	Goals Against Per Game	2.84
11.86%	Power Play Percentage	37.14%
82.61%	Penalty Kill Percentage	81.97%

Comets
9-10-0, 18pts

FINAL

Condors
16-5-0, 32pts

Team Stats
OTL1	Streak	W1
4-4-0	Home Record	9-3-0
5-6-0	Home Record	7-2-0
4-5-1	Last 10 Games	7-3-0
2.53	Goals Per Game	3.86
2.84	Goals Against Per Game	2.52
37.14%	Power Play Percentage	11.86%
81.97%	Penalty Kill Percentage	82.61%

Team Leaders
	Goals Jakob Pelletier 11	Assists David Gustafsson 16

	Points David Gustafsson 23	Plus/Minus Austin Rueschhoff 8

	Wins Philipp Grubauer 8	Save Percentage Philipp Grubauer 0.902

Team Stats
Goals For 48 2.53 GFG	Shots For 394 20.74 Avg	Power Play Percentage 37.1% 13 GF	Offensive Zone Start 30.0%
Goals Against 54 2.84 GAA	Shots Against 581 30.58 Avg	Penalty Kill Percentage 82.0%% 11 GA	Defensive Zone Start 42.8%

Team Info
	General Manager	Tyler Briem
	Coach	Kevin Dineen
	Division	Division 2
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,790
	Season Tickets	1,500
Roster Info
	Pro Team	23
	Farm Team	20
	Contract Limit	43 / 100
	Prospects	162

Show or Hide Columns

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	David Gustafsson	X	X			100.00	70	43	99	70	75	54	63	68	75	64	63	74	25	61	61	60	80	64	0	25	3	1,333,000$
2	Rasmus Asplund	X	X			100.00	75	69	89	61	69	70	73	64	76	66	57	67	50	64	64	59	72	63	0	27	1	1,454,000$
3	Jakob Pelletier		X			100.00	71	42	96	78	62	54	62	66	46	65	62	68	25	50	50	60	74	62	0	24	1	988,582$
4	Hugh McGing	X	X			100.00	65	58	78	65	59	76	80	65	80	69	60	57	53	48	48	57	80	62	0	26	3	1,100,000$
5	Austin Rueschhoff			X		100.00	83	87	72	60	87	71	75	58	49	53	60	65	55	48	48	58	83	61	0	27	1	823,866$
6	Matthew Maggio (R)			X		100.00	74	67	90	64	70	65	67	57	50	49	63	60	59	48	48	57	74	58	0	22	3	820,000$
7	Alex Beaucage			X		100.00	77	72	91	66	75	59	61	54	50	58	48	60	44	47	47	52	79	57	0	23	1	901,217$
8	Jayden Grubbe (R)	X				100.00	77	75	80	66	77	65	70	50	61	46	50	59	46	47	47	52	68	56	0	22	1	750,000$
9	Trevor Kuntar (R)	X	X			100.00	68	71	56	64	74	67	71	51	64	49	51	54	48	48	48	50	79	55	0	24	1	750,000$
10	Eetu Liukas (R)		X			100.00	74	73	80	69	76	58	61	45	50	42	44	57	44	48	48	49	79	53	0	22	1	750,000$
11	Matthew Robertson (R)				X	100.00	79	77	78	68	80	73	79	54	25	47	46	63	39	48	48	51	79	62	0	24	1	799,579$
12	Jack Rathbone (R)				X	100.00	74	69	89	65	69	69	74	52	25	43	49	61	43	49	48	51	79	59	0	26	3	1,232,000$
13	Helge Grans (R)				X	100.00	79	77	88	68	80	67	73	45	25	35	41	60	37	48	48	48	79	59	0	23	1	893,037$
14	Riley Stillman				X	100.00	71	72	72	66	73	61	66	46	25	33	40	60	38	64	63	47	72	58	0	27	1	1,799,000$
15	Layton Ahac (R)				X	100.00	75	72	87	68	75	63	68	44	25	34	38	59	37	48	48	47	78	57	0	24	3	988,000$
16	Ethan Samson (R)				X	100.00	68	68	77	63	71	63	68	45	25	34	40	54	39	47	47	47	68	55	0	21	1	750,000$
17	Kim Nousiainen				X	100.00	66	61	87	68	64	58	62	45	25	36	39	54	37	48	48	46	72	54	0	24	2	925,000$
18	Peter DiLiberatore				X	100.00	65	60	78	65	60	51	52	49	25	43	40	55	38	44	44	49	79	53	0	25	3	990,000$
Scratches
1	Josh Bloom (R)		X			100.00	76	69	96	67	71	50	51	44	50	42	43	59	42	46	46	50	53	52	0	22	1	750,000$
2	Graham McPhee		X			100.00	69	64	86	60	64	54	56	47	50	41	50	56	48	46	46	51	40	51	0	26	1	896,442$
3	Donovan Sebrango (R)				X	100.00	61	69	52	68	72	55	57	45	25	37	38	50	37	47	47	44	64	53	0	23	1	846,071$

	TEAM AVERAGE					100.00	72	67	82	66	72	62	66	52	44	47	49	60	42	50	50	52	73	57

Show or Hide Columns

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	Philipp Grubauer	100.00	63	67	67	71	66	65	74	70	70	63	85	70	73	61	88	68	0	33	3	2,000,000$
2	Hunter Jones	100.00	59	47	59	83	64	68	60	66	69	66	30	45	45	60	83	62	0	24	1	787,500$
Scratches

	TEAM AVERAGE	100.00	61	57	63	77	65	67	67	68	70	65	58	58	59	61	86	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kevin Dineen	60	60	60	60	60	60	60	CAN	52	1	1,250,000$

Show or Hide Columns

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	P/20	FW	FL	FT	S1	S2	S3
1	David Gustafsson	Comets (NJD)	C/LW	19	7	16	23	-2	0	0	14	43	59	22	31	11.86%	11	440	23.17	5	4	9	15	24	0	1	1	2	44	1	1	58.12%	308	10	5	1.04	0	0	0	2	1	1
2	Hugh McGing	Comets (NJD)	C/LW	19	7	14	21	-7	20	0	29	61	56	23	26	12.50%	12	431	22.73	1	3	4	3	20	1	0	1	1	14	2	1	56.01%	291	6	8	0.97	0	0	0	2	0	0
3	Jakob Pelletier	Comets (NJD)	LW	19	11	5	16	1	0	0	16	38	62	23	28	17.74%	9	354	18.66	3	0	3	6	20	0	0	0	0	0	1	0	34.78%	23	14	3	0.90	0	0	0	1	3	1
4	Austin Rueschhoff	Comets (NJD)	RW	19	6	7	13	8	32	20	27	49	39	7	22	15.38%	12	460	24.26	0	3	3	2	23	0	0	0	2	48	2	0	39.42%	104	12	6	0.56	2	1	1	1	1	0
5	Matthew Robertson	Comets (NJD)	D	19	2	7	9	-5	41	15	32	56	31	11	7	6.45%	30	519	27.36	2	2	4	4	26	0	0	0	0	47	1	0	0%	0	7	28	0.35	0	0	3	0	0	1
6	Rasmus Asplund	Comets (NJD)	C/LW	15	5	3	8	-3	33	15	12	23	29	6	13	17.24%	5	294	19.60	1	0	1	1	14	0	0	0	1	24	0	1	62.50%	8	7	4	0.54	2	1	0	0	1	1
7	Jack Rathbone	Comets (NJD)	D	19	1	6	7	-2	6	0	11	37	9	5	6	11.11%	26	398	20.97	0	0	0	0	2	0	0	0	0	11	0	0	75.00%	4	2	11	0.35	0	0	0	0	0	0
8	Trevor Kuntar	Comets (NJD)	C/LW	19	2	4	6	-3	37	5	26	38	18	4	12	11.11%	5	340	17.92	0	3	3	2	24	0	0	0	1	42	1	1	46.43%	84	4	9	0.35	0	1	0	0	0	1
9	Alex Beaucage	Comets (NJD)	RW	19	3	3	6	-9	5	5	21	29	18	2	7	16.67%	3	337	17.75	0	0	0	0	2	0	0	0	0	0	0	0	25.00%	8	1	5	0.36	1	0	0	0	0	1
10	Layton Ahac	Comets (NJD)	D	19	0	5	5	-4	11	5	23	31	13	5	7	0%	24	500	26.34	0	3	3	2	27	0	0	0	0	53	0	0	0%	0	4	16	0.20	0	0	1	0	0	0
11	Eetu Liukas	Comets (NJD)	LW	19	3	1	4	-4	2	0	19	27	7	1	3	42.86%	4	198	10.45	0	0	0	0	1	0	0	0	0	5	1	0	0%	3	2	3	0.40	0	0	0	0	1	1
12	Helge Grans	Comets (NJD)	D	19	0	3	3	-2	13	5	10	32	14	2	3	0%	29	412	21.71	0	0	0	0	19	0	0	0	0	39	0	0	0%	0	4	14	0.15	0	0	1	0	0	0
13	Kim Nousiainen	Comets (NJD)	D	19	1	2	3	-2	2	0	3	31	8	3	1	12.50%	15	293	15.44	1	1	2	2	19	0	0	0	1	48	0	0	0%	0	2	6	0.20	0	0	0	0	0	1
14	Matthew Maggio	Comets (NJD)	RW	19	0	2	2	-4	9	5	10	21	24	7	7	0%	3	225	11.85	0	0	0	0	6	0	0	0	0	0	0	0	38.46%	13	4	4	0.18	0	1	0	0	0	0
15	Jayden Grubbe	Comets (NJD)	C	15	0	1	1	0	4	0	17	19	5	3	4	0%	3	160	10.72	0	0	0	0	1	0	0	0	1	22	0	0	39.53%	43	1	1	0.12	0	0	0	0	0	0
16	Riley Stillman	Comets (NJD)	D	19	0	0	0	0	0	0	7	8	1	0	0	0%	2	145	7.68	0	0	0	0	1	0	0	0	0	4	0	0	50.00%	4	0	2	0	0	0	0	0	0	0
17	Josh Bloom	Comets (NJD)	LW	4	0	0	0	-1	0	0	1	6	1	1	2	0%	0	30	7.69	0	0	0	0	1	0	0	0	0	2	0	0	0%	0	0	0	0	0	0	0	0	0	0
18	Ethan Samson	Comets (NJD)	D	19	0	0	0	0	0	0	0	3	0	0	0	0%	0	46	2.46	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0
19	Graham McPhee	Comets (NJD)	LW	4	0	0	0	0	0	0	0	0	0	0	0	0%	0	3	0.88	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0
20	Donovan Sebrango	Comets (NJD)	D	5	0	0	0	-2	2	0	6	4	0	0	1	0%	1	59	11.81	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	2	0	0	0	0	0	0	0
21	Peter DiLiberatore	Comets (NJD)	D	19	0	0	0	0	0	0	1	0	0	0	0	0%	0	3	0.16	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0
Team Total or Average				347	48	79	127	-41	217	75	285	556	394	125	180	12.18%	194	5657	16.30	13	19	32	37	237	1	1	2	9	413	9	4	51.96%	893	80	127	0.45	5	4	6	6	7	8

Show or Hide Columns

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	SO	GA	SA	SAR	EG	PS %	ST	BG	S1	S2	S3
1	Philipp Grubauer	Comets (NJD)	19	8	9	1	0.902	2.90	1076	2	52	530	298	1	0	19	0	3	1	1
2	Hunter Jones	Comets (NJD)	3	1	0	0	0.980	0.82	73	0	1	50	36	0	0	0	19	0	0	0
Team Total or Average			22	9	9	1	0.909	2.77	1150	2	53	580	334	1		19	19	3	1	1

Show or Hide Columns

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Alex Beaucage	Comets (NJD)	RW	23	2001-07-25	QUE	No	192 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	901,217$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Austin Rueschhoff	Comets (NJD)	RW	27	1997-09-07	USA	No	229 Lbs	6 ft7	No	No	N/A		No	No	1		False	False	Pro & Farm	823,866$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
David Gustafsson	Comets (NJD)	C/LW	25	2000-04-11	SWE	No	196 Lbs	6 ft2	No	No	Trade	2024-09-03	No	No	3		False	False	Pro & Farm	1,333,000$	0$	0$	No	1,333,000$	1,333,000$	-	-	-	-	-	-	-	1,333,000$	1,333,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Donovan Sebrango	Comets (NJD)	D	23	2002-01-12	ONT	Yes	189 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	846,071$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Eetu Liukas	Comets (NJD)	LW	22	2002-09-25	FIN	Yes	198 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ethan Samson	Comets (NJD)	D	21	2003-08-23	BC	Yes	180 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Graham McPhee	Comets (NJD)	LW	26	1998-07-24	USA	No	174 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	896,442$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Helge Grans	Comets (NJD)	D	23	2002-05-10	SWE	Yes	206 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	893,037$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Hugh McGing	Comets (NJD)	C/LW	26	1998-07-11	USA	No	169 Lbs	5 ft8	No	No	N/A		No	No	3		False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	1,100,000$	-	-	-	-	-	-	-	1,100,000$	1,100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Hunter Jones	Comets (NJD)	G	24	2000-09-21	ONT	No	202 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	787,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jack Rathbone	Comets (NJD)	D	26	1999-05-20	USA	Yes	190 Lbs	5 ft11	No	No	N/A		No	No	3		False	False	Pro & Farm	1,232,000$	0$	0$	No	1,232,000$	1,232,000$	-	-	-	-	-	-	-	1,232,000$	1,232,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jakob Pelletier	Comets (NJD)	LW	24	2001-03-07	QUE	No	165 Lbs	5 ft9	No	No	N/A		No	No	1		False	False	Pro & Farm	988,582$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jayden Grubbe	Comets (NJD)	C	22	2003-01-12	AB	Yes	200 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Josh Bloom	Comets (NJD)	LW	22	2003-06-08	ONT	Yes	182 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kim Nousiainen	Comets (NJD)	D	24	2000-11-14	FIN	No	170 Lbs	5 ft9	No	No	N/A		No	No	2		False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Layton Ahac	Comets (NJD)	D	24	2001-02-22	BC	Yes	190 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	988,000$	0$	0$	No	988,000$	988,000$	-	-	-	-	-	-	-	988,000$	988,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Matthew Maggio	Comets (NJD)	RW	22	2002-11-25	ONT	Yes	185 Lbs	5 ft11	No	No	Prospect		No	No	3	2024-09-17	False	False	Pro & Farm	820,000$	0$	0$	No	820,000$	820,000$	-	-	-	-	-	-	-	820,000$	820,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Matthew Robertson	Comets (NJD)	D	24	2001-03-09	AB	Yes	202 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	799,579$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Peter DiLiberatore	Comets (NJD)	D	25	2000-03-31	NS	No	160 Lbs	5 ft11	No	No	N/A		No	No	3		False	False	Pro & Farm	990,000$	0$	0$	No	990,000$	990,000$	-	-	-	-	-	-	-	990,000$	990,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Philipp Grubauer	Comets (NJD)	G	33	1991-11-21	GER	No	187 Lbs	6 ft1	No	No	Free Agent		No	No	3	2024-09-18	False	False	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Rasmus Asplund	Comets (NJD)	C/LW	27	1997-12-03	SWE	No	190 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	1,454,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Riley Stillman	Comets (NJD)	D	27	1998-03-09	ONT	No	196 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	1,799,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Trevor Kuntar	Comets (NJD)	C/LW	24	2001-06-20	USA	Yes	197 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	24.52	189 Lbs	6 ft1	1.65	1,014,230$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jakob Pelletier	David Gustafsson	Austin Rueschhoff	40	1	2	2
2	Alex Beaucage	Hugh McGing	Rasmus Asplund	30	1	2	2
3	Trevor Kuntar	Hugh McGing	Austin Rueschhoff	20	1	2	2
4	Eetu Liukas	David Gustafsson	Hugh McGing	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matthew Robertson	Layton Ahac	40	1	2	2
2	Helge Grans	Jack Rathbone	30	1	2	2
3	Layton Ahac	Matthew Robertson	20	1	2	2
4	Kim Nousiainen	Matthew Robertson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	David Gustafsson	Trevor Kuntar	Austin Rueschhoff	60	1	2	2
2	Jakob Pelletier	Hugh McGing	Rasmus Asplund	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matthew Robertson	Layton Ahac	60	1	2	2
2	Helge Grans	Kim Nousiainen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Austin Rueschhoff	Trevor Kuntar	60	1	2	2
2	Hugh McGing	David Gustafsson	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matthew Robertson	Layton Ahac	60	1	2	2
2	Helge Grans	Kim Nousiainen	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Austin Rueschhoff	60	1	2	2	Matthew Robertson	Kim Nousiainen	60	1	2	2
2	Hugh McGing	40	1	2	2	Helge Grans	Layton Ahac	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Austin Rueschhoff	David Gustafsson	60	1	2	2
2	Hugh McGing	Trevor Kuntar	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matthew Robertson	Kim Nousiainen	60	1	2	2
2	Helge Grans	Layton Ahac	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Hugh McGing	David Gustafsson	Austin Rueschhoff	Matthew Robertson	Jack Rathbone

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Hugh McGing	David Gustafsson	Austin Rueschhoff	Matthew Robertson	Jack Rathbone

Extra Forwards
Normal	PowerPlay	Penalty Kill
Hugh McGing, Austin Rueschhoff, Trevor Kuntar	Hugh McGing, Austin Rueschhoff	Trevor Kuntar

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Layton Ahac, Matthew Robertson, Kim Nousiainen	Layton Ahac	Layton Ahac, Kim Nousiainen

Penalty Shots
Jakob Pelletier, Trevor Kuntar, Hugh McGing, David Gustafsson, Austin Rueschhoff

Goalie
#1 : Philipp Grubauer, #2 : Hunter Jones

Custom OT Lines Forwards
Alex Beaucage, Rasmus Asplund, Matthew Maggio, Hugh McGing, Austin Rueschhoff, David Gustafsson, David Gustafsson, Trevor Kuntar, Jakob Pelletier, Jayden Grubbe, Eetu Liukas

Custom OT Lines Defensemen
Matthew Robertson, Kim Nousiainen, Jack Rathbone, Helge Grans, Layton Ahac

Show or Hide Columns

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	Condors	5	1	4	0	0	0	0	0	10	17	-7	2	0	2	0	0	0	0	0	2	7	-5	3	1	2	0	0	0	0	0	8	10	-2	2	0.200	10	16	26	0	0	5	18	23	2	101	67	128	189	10	201	70	62	70	4	1	25.00%	26	3	88.46%	0	144	268	53.73%	189	382	49.48%	131	243	53.91%	301	114	432	207	419	206
2	Rocket	7	4	3	0	0	0	0	0	17	19	-2	3	2	1	0	0	0	0	0	10	9	1	4	2	2	0	0	0	0	0	7	10	-3	8	0.571	17	28	45	1	0	5	18	23	2	127	67	128	189	10	199	59	78	95	14	5	35.71%	24	7	70.83%	0	144	268	53.73%	189	382	49.48%	131	243	53.91%	301	114	432	207	419	206
3	Wolves	7	4	3	0	0	0	0	0	21	18	3	3	2	1	0	0	0	0	0	11	9	2	4	2	2	0	0	0	0	0	10	9	1	8	0.571	21	35	56	0	2	5	18	23	2	166	67	128	189	10	181	65	77	120	17	7	41.18%	11	1	90.91%	1	144	268	53.73%	189	382	49.48%	131	243	53.91%	301	114	432	207	419	206
	Total	19	9	10	0	0	0	0	0	48	54	-6	8	4	4	0	0	0	0	0	23	25	-2	11	5	6	0	0	0	0	0	25	29	-4	18	0.474	48	79	127	1	2	5	18	23	2	394	67	128	189	10	581	194	217	285	35	13	37.14%	61	11	81.97%	1	144	268	53.73%	189	382	49.48%	131	243	53.91%	301	114	432	207	419	206
	_Since Last GM Reset	19	9	10	0	0	0	0	0	48	54	-6	8	4	4	0	0	0	0	0	23	25	-2	11	5	6	0	0	0	0	0	25	29	-4	18	0.474	48	79	127	1	2	5	18	23	2	394	67	128	189	10	581	194	217	285	35	13	37.14%	61	11	81.97%	1	144	268	53.73%	189	382	49.48%	131	243	53.91%	301	114	432	207	419	206
	_Vs Conference	19	9	10	0	0	0	0	0	48	54	-6	8	4	4	0	0	0	0	0	23	25	-2	11	5	6	0	0	0	0	0	25	29	-4	18	0.474	48	79	127	1	2	5	18	23	2	394	67	128	189	10	581	194	217	285	35	13	37.14%	61	11	81.97%	1	144	268	53.73%	189	382	49.48%	131	243	53.91%	301	114	432	207	419	206

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
19	18	OTL1	48	79	127	394	581	194	217	285	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	9	10	0	0	0	0	48	54

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	4	4	0	0	0	0	23	25

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	5	6	0	0	0	0	25	29

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	5	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
35	13	37.14%	61	11	81.97%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
67	128	189	10	5	18	23	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
144	268	53.73%	189	382	49.48%	131	243	53.91%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
301	114	432	207	419	206

Last Played Games Show or Hide Columns

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	Link
1	4	Comets	1	Wolves	5	L		BoxScore
3	12	Comets	2	Wolves	3	L		BoxScore
5	20	Wolves	4	Comets	3	L		BoxScore
7	28	Wolves	0	Comets	2	W		BoxScore
9	36	Comets	3	Wolves	0	W		BoxScore
11	44	Wolves	5	Comets	6	W		BoxScore
13	52	Comets	4	Wolves	1	W		BoxScore
15	58	Comets	1	Rocket	4	L		BoxScore
17	62	Comets	2	Rocket	1	W		BoxScore
19	66	Rocket	1	Comets	3	W		BoxScore
21	70	Rocket	3	Comets	1	L		BoxScore
23	74	Comets	0	Rocket	2	L		BoxScore
25	78	Rocket	5	Comets	6	W		BoxScore
27	82	Comets	4	Rocket	3	W	X	BoxScore
29	85	Comets	2	Condors	4	L		BoxScore
31	87	Comets	4	Condors	3	W	X	BoxScore
33	89	Condors	5	Comets	1	L		BoxScore
35	91	Condors	2	Comets	1	L		BoxScore
37	93	Comets	2	Condors	3	L	X	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	14,682	7,639
Attendance PCT	91.76%	95.49%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	2790 - 93.00%	117,050$	936,397$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,332,730$	2,325,343$	1,250,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Comets Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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

Comets Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Comets Career Team Stats

Show or Hide Columns

	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

Comets Players Stat Leaders (Play-Off)

Show or Hide Columns

#	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

Comets Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Comets
	GP: 19 \| W: 9 \| L: 10 GF: 48 \| GA: 54 \| PP%: 37.14% \| PK%: 81.97% GM : Tyler Briem \| Morale : 67 \| Team Overall : 58