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

Game Center
	Comets 6-8-2, 14pts	3	FINAL	4	Monsters 8-8-0, 16pts

Team Stats
W1	Streak	L1
5-2-1	Home Record	4-4-0
1-6-1	Home Record	4-4-0
5-3-2	Last 10 Games	4-6-0
2.69	Goals Per Game	3.75
4.06	Goals Against Per Game	4.44
10.00%	Power Play Percentage	4.65%
76.47%	Penalty Kill Percentage	73.85%

Senators
12-4-0, 24pts

FINAL

Comets
6-8-2, 14pts

Team Stats
L1	Streak	W1
6-2-0	Home Record	5-2-1
6-2-0	Home Record	1-6-1
6-4-0	Last 10 Games	5-3-2
5.25	Goals Per Game	2.69
2.69	Goals Against Per Game	4.06
18.33%	Power Play Percentage	10.00%
84.38%	Penalty Kill Percentage	76.47%

Team Leaders
	Goals Jakub Demek 13	Assists Topias Vilen 13

	Points Topias Vilen 21	Plus/Minus Jakub Demek 6

	Wins Mads Sogaard 6	Save Percentage Mads Sogaard 0.899

Team Stats
Goals For 43 2.69 GFG	Shots For 343 21.44 Avg	Power Play Percentage 10.0% 5 GF	Offensive Zone Start 28.0%
Goals Against 65 4.06 GAA	Shots Against 611 38.19 Avg	Penalty Kill Percentage 76.5%% 8 GA	Defensive Zone Start 48.6%

Team Info
	General Manager	Mathias
	Coach	Tuomo Ruutu
	Division	North
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	12
	Farm Team	22
	Contract Limit	34 / 51
	Prospects	33
Team History
	This Season	6-8-2 (14PTS)
	History	0--0
	Playoff Appearances	0
	Playoff Record (W-L)	0 - 0
	Stanley Cup	0

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	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	Michael Eyssimont	X	X		100.00	75	54	84	79	72	57	73	67	44	64	66	68	25	65	66	68	50	65	0	30	2	1,500,000$
2	Alexander Holtz	X	X		100.00	75	43	88	73	71	59	60	63	32	66	60	67	25	62	62	65	50	63	0	24	2	850,000$
3	Jakub Demek		X		100.00	83	77	97	65	77	55	54	61	76	61	56	68	53	44	44	63	50	60	0	23	1	851,683$
4	Jan Jenik		X		100.00	75	72	82	62	72	59	60	56	50	49	58	63	55	46	46	60	50	57	0	26	1	850,000$
5	Aatu Jamsen		X		100.00	73	67	87	61	67	53	52	59	50	50	63	62	60	44	44	61	50	57	0	24	2	852,500$
6	Hunter Drew		X		100.00	67	78	40	57	78	73	78	55	50	48	58	58	55	44	44	57	50	57	0	27	1	850,000$
7	Josh Bloom (R)	X			100.00	79	71	99	59	71	40	39	47	50	41	47	62	45	44	44	52	50	51	0	23	1	902,500$
8	Topias Vilen (R)			X	100.00	76	71	87	60	71	72	78	52	25	48	41	62	39	44	44	54	50	59	0	23	1	902,500$
9	Adam Ginning (R)			X	100.00	76	74	82	58	74	60	64	47	25	37	41	61	39	45	45	52	50	56	0	26	2	850,000$
Scratches
1	Domenick Fensore (R)			X	100.00	68	62	82	60	62	74	78	58	25	50	51	60	48	44	44	58	50	59	0	25	2	850,000$

	TEAM AVERAGE				100.00	75	67	83	63	72	60	64	57	43	51	54	63	44	48	48	59	50	58

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	TA	SP	Age	Contract	Salary
1	Kasimir Kaskisuo	100.00	59	47	59	81	64	66	58	64	68	66	30	44	44	61	50	61	N	0	33	2	850,000$
2	Mads Sogaard	100.00	42	46	58	93	44	67	47	48	66	60	37	46	46	45	50	56		0	25	1	950,000$
Scratches

	TEAM AVERAGE	100.00	51	47	59	87	54	67	53	56	67	63	34	45	45	53	50	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Tuomo Ruutu	70	68	69	60	64	60	83	FIN	43	3	750,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	GW	GT	FO%	FOT	HT	P/20	S1	S2	S3
1	Topias Vilen	Comets (NJD)	D	16	8	13	21	4	14	59	35	24	6	10	33.33%	23	317	19.86	1	0	0%	1	1	1.32	3	3	1
2	Jakub Demek	Comets (NJD)	RW	16	13	6	19	6	22	35	39	70	21	42	18.57%	11	267	16.73	3	2	66.67%	240	1	1.42	2	3	1
Team Total or Average				32	21	19	40	10	36	94	74	94	27	52	22.34%	34	585	18.29	4	2	66.39%	241	2	1.37	5	6	2

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Mads Sogaard	Comets (NJD)	16	6	8	2	0.899	3.87	931	0	1	60	592	0	2	0	0	0	16	0	1	0	3
Team Total or Average			16	6	8	2	0.899	3.87	931	0	1	60	592	0	2	0		0	16	0	1	0	3

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 Remaining	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
Aatu Jamsen	Comets (NJD)	RW	24	2002-07-22	FIN	No	175 Lbs	6 ft2	No	No	Trade	2025-08-05	No	No	2	2025-08-03	False	False	Pro & Farm	852,500$	852,500$	0$	0$	No	852,500$	-	-	-	-	-	-	-	-	852,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Adam Ginning	Comets (NJD)	D	26	2000-01-13	SWE	Yes	196 Lbs	6 ft3	No	No	Free Agent		No	No	2	2026-07-06	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Alexander Holtz	Comets (NJD)	LW/RW	24	2002-01-23	SWE	No	198 Lbs	6 ft0	No	No	Free Agent		No	No	2	2026-07-06	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Domenick Fensore	Comets (NJD)	D	25	2001-09-07	USA	Yes	175 Lbs	5 ft9	No	No	Assign Manually		No	No	2	2026-10-05	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Hunter Drew	Comets (NJD)	RW	27	1998-10-21	CAN	No	213 Lbs	6 ft2	No	No	Free Agent		No	No	1	2025-08-02	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jakub Demek	Comets (NJD)	RW	23	2003-06-06	SVK	No	203 Lbs	6 ft4	No	No	Assign Manually		No	No	1	2024-06-30	False	False	Pro & Farm	851,683$	851,683$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jan Jenik	Comets (NJD)	RW	26	2000-09-15	CZE	No	199 Lbs	6 ft1	No	No	Free Agent		No	No	1	2026-07-06	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Josh Bloom	Comets (NJD)	LW	23	2003-02-14	ONT	Yes	190 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2024-06-30	False	False	Pro & Farm	902,500$	902,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kasimir Kaskisuo	Comets (NJD)	G	33	1993-10-02	FIN	No	203 Lbs	6 ft3	Yes	No	Free Agent		No	No	2	2026-09-06	False	False	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Link / NHL Link
Mads Sogaard	Comets (NJD)	G	25	2000-12-13	DNK	No	231 Lbs	6 ft7	No	No	Free Agent		No	No	1	2025-08-02	False	False	Pro & Farm	950,000$	950,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Michael Eyssimont	Comets (NJD)	LW/RW	30	1996-09-09	USA	No	195 Lbs	6 ft0	No	No	Trade	2026-06-15	No	No	2	2026-06-12	False	False	Pro & Farm	1,500,000$	1,500,000$	0$	0$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Topias Vilen	Comets (NJD)	D	23	2003-04-01	FIN	Yes	194 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2024-06-30	False	False	Pro & Farm	902,500$	902,500$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
12	25.75	198 Lbs	6 ft2	1.50	921,599$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3	Topias Vilen		Jakub Demek	20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4	Topias Vilen		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			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			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jakub Demek, ,	Jakub Demek,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : Mads Sogaard, #2 :

Custom OT Lines Forwards
, , , , , Jakub Demek, , , ,

Custom OT Lines Defensemen
, , , ,

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	Barracuda	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	1	2	0	0	18	18	7	0	8	102	122	119	0	49	14	8	7	3	0	0.00%	4	0	100.00%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
2	Canucks	3	3	0	0	0	0	0	0	16	8	8	2	2	0	0	0	0	0	0	11	6	5	1	1	0	0	0	0	0	0	5	2	3	6	1.000	16	29	45	0	0	18	18	7	0	129	102	122	119	0	88	31	14	61	7	0	0.00%	7	0	100.00%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
3	Crunch	2	0	2	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	3	5	8	0	0	18	18	7	0	26	102	122	119	0	78	17	12	18	7	1	14.29%	5	4	20.00%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
4	Griffins	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	9	14	23	0	0	18	18	7	0	58	102	122	119	0	77	25	6	53	3	0	0.00%	3	0	100.00%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
5	Marlies	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	4	-4	2	0.500	4	7	11	0	0	18	18	7	0	26	102	122	119	0	75	16	10	27	10	0	0.00%	4	1	75.00%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
6	Monsters	2	0	0	0	0	2	0	0	7	9	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	1	0	0	3	4	-1	2	0.500	7	12	19	0	0	18	18	7	0	48	102	122	119	0	95	24	8	33	10	4	40.00%	4	1	75.00%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
7	Rocket	2	0	2	0	0	0	0	0	0	10	-10	1	0	1	0	0	0	0	0	0	6	-6	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	18	18	7	0	21	102	122	119	0	86	26	6	23	4	0	0.00%	3	1	66.67%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
8	Senators	2	1	1	0	0	0	0	0	3	9	-6	1	1	0	0	0	0	0	0	2	0	2	1	0	1	0	0	0	0	0	1	9	-8	2	0.500	3	4	7	0	1	18	18	7	0	27	102	122	119	0	63	21	8	17	6	0	0.00%	4	1	75.00%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
	Total	16	6	8	0	0	2	0	0	43	65	-22	8	5	2	0	0	1	0	0	27	27	0	8	1	6	0	0	1	0	0	16	38	-22	14	0.438	43	72	115	0	1	18	18	7	0	343	102	122	119	0	611	174	72	239	50	5	10.00%	34	8	76.47%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
	_Since Last GM Reset	16	6	8	0	0	2	0	0	43	65	-22	8	5	2	0	0	1	0	0	27	27	0	8	1	6	0	0	1	0	0	16	38	-22	14	0.438	43	72	115	0	1	18	18	7	0	343	102	122	119	0	611	174	72	239	50	5	10.00%	34	8	76.47%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
	_Vs Conference	15	6	7	0	0	2	0	0	42	61	-19	8	5	2	0	0	1	0	0	27	27	0	7	1	5	0	0	1	0	0	15	34	-19	14	0.467	42	71	113	0	1	18	18	7	0	335	102	122	119	0	562	160	64	232	47	5	10.64%	30	8	73.33%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72
	_Vs Division	10	6	7	0	0	2	0	0	19	44	-25	5	5	2	0	0	1	0	0	12	16	-4	5	1	5	0	0	1	0	0	7	28	-21	14	0.700	19	30	49	0	1	18	18	7	0	158	102	122	119	0	379	105	42	138	30	1	3.33%	19	7	63.16%	0	124	303	40.92%	168	527	31.88%	107	254	42.13%	274	192	511	113	175	72

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
16	14	W1	43	72	115	343	611	174	72	239	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	6	8	0	2	0	0	43	65

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	2	0	1	0	0	27	27

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	1	6	0	1	0	0	16	38

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	3	0	2	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
50	5	10.00%	34	8	76.47%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
102	122	119	0	18	18	7	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
124	303	40.92%	168	527	31.88%	107	254	42.13%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
274	192	511	113	175	72

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	12	Comets	4	Griffins	5	L		BoxScore
2	21	Canucks	3	Comets	4	W		BoxScore
4	43	Crunch	5	Comets	1	L		BoxScore
5	56	Comets	1	Senators	9	L		BoxScore
6	70	Comets	0	Marlies	4	L		BoxScore
7	84	Rocket	6	Comets	0	L		BoxScore
9	99	Comets	0	Rocket	4	L		BoxScore
10	118	Marlies	3	Comets	4	W		BoxScore
11	130	Comets	2	Crunch	6	L		BoxScore
12	144	Comets	5	Canucks	2	W		BoxScore
13	153	Canucks	3	Comets	7	W		BoxScore
16	182	Griffins	2	Comets	5	W		BoxScore
17	201	Comets	1	Barracuda	4	L		BoxScore
19	216	Monsters	5	Comets	4	L	X	BoxScore
20	226	Comets	3	Monsters	4	L	X	BoxScore
22	248	Senators	0	Comets	2	W		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	55	0
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	1,105,918$	1,105,918$	750,000$0$

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
Regular Season
Total Regular Season											0											0	0	0	0	0	0	0	0	0	0	0	0																						0%			0%				0%			0%			0%	0	0	0	0	0	0
Playoff
Total Playoff	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

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: 16 \| W: 6 \| L: 8 \| OTL: 2 \| P: 14 GF: 43 \| GA: 65 \| PP%: 10.00% \| PK%: 76.47% GM : Mathias \| Morale : 50 \| Team Overall : 58