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Werewolves
0-0-0, 0pts

2022-10-10

Hooligans
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Hooligans
0-0-0, 0pts

2022-10-12

Benchwarmers
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Barracuda
0-0-0, 0pts

2022-10-14

Hooligans
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Maxime Lord
	Division	Lafleur
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	30
	Farm Team	25
	Contract Limit	55 / 60
	Prospects	47
Team History
	This Season	0-0-0 (0PTS)
	History	261-196-41 (0.524%)
	Playoff Appearances	4
	Playoff Record (W-L)	10-17
	Stanley Cup	0

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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`)
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8	`?`	Wildcard for a single, non-space character.
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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	Yakov Trenin	0	X	X			100.00	89	78	83	76	76	68	88	62	36	47	49	82	25	60	61	0	50	70	0	25	2	725,000$
2	Mason Appleton	0		X	X		100.00	73	43	86	80	72	70	87	67	35	49	47	73	25	63	64	0	50	68	0	26	1	900,000$
3	Nico Sturm	0	X	X			100.00	78	44	93	81	77	62	88	61	84	49	47	78	25	59	60	0	50	67	0	27	1	725,000$
4	Blake Lizotte	0	X				100.00	76	42	87	86	59	62	81	61	84	50	47	74	25	61	61	0	50	66	0	24	2	800,000$
5	Gabriel Vilardi	0	X		X		100.00	59	41	89	77	76	66	85	70	63	47	49	65	25	55	55	0	50	65	0	23	2	1,627,500$
6	Zack MacEwen	0	X	X	X		100.00	86	99	61	70	81	54	80	59	40	47	45	68	25	59	59	0	50	64	0	26	1	825,000$
7	Michael Amadio	0	X				100.00	71	54	91	73	74	62	67	61	41	48	49	67	25	62	62	0	50	64	0	26	2	750,000$
8	David Gustafsson	0	X				100.00	79	73	92	78	73	63	64	62	78	40	40	67	59	46	46	0	50	63	0	22	2	925,000$
9	Gerald Mayhew	0		X	X		100.00	80	43	86	62	58	64	69	68	34	46	50	64	25	57	57	0	50	63	0	29	2	800,000$
10	Rasmus Kupari	0	X		X		100.00	77	43	89	77	68	62	81	58	60	48	46	65	25	51	51	0	50	63	0	22	1	1,050,833$
11	Jack Studnicka	0	X		X		100.00	76	43	91	80	65	63	69	58	76	50	45	68	25	47	47	0	50	63	0	23	2	863,333$
12	Carl Grundstrom	0		X			100.00	90	46	85	80	73	58	76	59	35	48	48	61	25	59	59	0	50	62	0	24	1	725,000$
13	Alex Barre-Boulet	0	X				100.00	67	42	91	73	65	58	75	69	40	49	48	62	25	46	46	0	50	61	0	25	1	759,258$
14	Matt Roy	0				X	100.00	84	45	87	80	74	82	81	66	25	44	38	85	75	63	63	0	50	66	0	27	1	700,000$
15	Michael Anderson	0				X	100.00	88	45	95	77	71	80	81	60	25	41	38	82	25	58	58	0	50	64	0	23	2	1,775,000$
16	Erik Gustafsson	0				X	100.00	71	42	91	81	65	69	70	76	25	43	39	64	75	67	69	0	50	63	0	30	1	650,000$
17	Kale Clague	0				X	100.00	63	41	83	76	65	70	67	69	25	43	39	66	25	50	50	0	50	61	0	24	2	761,250$
Scratches
1	Zach Aston-Reese	0		X	X		100.00	98	67	87	77	74	64	83	61	44	48	46	79	25	63	65	0	50	68	0	28	0	0$
2	Reese Johnson	0			X		100.00	99	80	87	63	72	57	61	55	71	48	45	80	25	47	47	0	50	65	0	24	2	925,000$
3	Dryden Hunt	0		X			100.00	85	59	80	72	70	63	77	60	33	48	46	62	41	63	63	0	50	64	0	26	0	0$
4	T.J. Tynan	0	X	X	X		100.00	68	58	90	62	58	70	71	67	80	45	42	62	56	45	45	0	50	64	0	30	2	750,000$
5	Samuel Fagemo (R)	0		X	X		100.00	73	69	82	70	69	72	75	62	50	39	39	63	64	44	44	0	50	63	0	22	2	910,833$
6	Matt Luff	0			X		100.00	78	44	94	68	73	55	62	61	25	48	47	66	25	55	55	0	50	61	0	25	1	700,000$
7	Alex Turcotte (R)	0	X				100.00	75	43	91	74	67	59	61	56	52	46	45	63	25	44	44	0	50	59	0	21	2	2,444,167$
8	Dysin Mayo	0				X	100.00	84	55	87	78	74	82	78	59	25	41	39	93	75	59	59	0	50	65	0	26	2	750,000$
9	Tobias Bjornfot	0				X	100.00	73	43	96	74	73	71	78	57	25	41	38	76	25	57	57	0	50	61	0	21	2	1,052,500$
10	Max Lajoie	0				X	100.00	79	72	94	65	72	68	72	54	25	36	36	64	39	44	45	0	50	57	0	24	2	750,000$
11	Hunter Drew	0				X	100.00	65	75	43	66	75	71	75	59	25	33	33	58	54	44	44	0	50	56	0	23	2	793,333$
12	Paul Ladue	0				X	100.00	77	73	87	72	73	61	65	47	25	30	30	63	39	50	50	0	50	52	0	30	2	750,000$

	TEAM AVERAGE						100.00	78	55	86	74	70	66	75	62	44	45	43	70	36	54	55	0	50	63

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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`)
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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	Jaroslav Halak	100.00	68	53	56	65	78	59	83	69	71	68	83	73	75	0	50	70	0	37	1	850,000$
Scratches

	TEAM AVERAGE	100.00	68	53	56	65	78	59	83	69	71	68	83	73	75	0	50	70

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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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.
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9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

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

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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.
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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

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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
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8	`?`	Wildcard for a single, non-space character.
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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 Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Link
Alex Barre-Boulet	Hooligans (HOO)	C	25	5/20/1997	No	180 Lbs	178 CM	No	No	No	1	Pro & Farm	759,258$	759,258$	0$	0$	No		Link
Alex Turcotte	Hooligans (HOO)	C	21	2/25/2001	Yes	185 Lbs	180 CM	No	No	No	2	Pro & Farm	2,444,167$	2,444,167$	0$	0$	No	2,444,167$	Link
Blake Lizotte	Hooligans (HOO)	C	24	12/12/1997	No	172 Lbs	170 CM	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	Link / NHL Link
Carl Grundstrom	Hooligans (HOO)	LW	24	12/1/1997	No	201 Lbs	183 CM	No	No	No	1	Pro & Farm	725,000$	725,000$	0$	0$	No		Link / NHL Link
David Gustafsson	Hooligans (HOO)	C	22	4/11/2000	No	196 Lbs	188 CM	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	Link / NHL Link
Dryden Hunt	Hooligans (HOO)	LW	26	11/24/1995	No	193 Lbs	183 CM	No	No	No	0	Pro & Farm			0$	0$	No		Link / NHL Link
Dysin Mayo	Hooligans (HOO)	D	26	8/17/1996	No	195 Lbs	188 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Link
Erik Gustafsson	Hooligans (HOO)	D	30	3/14/1992	No	176 Lbs	183 CM	No	No	No	1	Pro & Farm	650,000$	650,000$	0$	0$	No		Link / NHL Link
Gabriel Vilardi	Hooligans (HOO)	C/RW	23	8/16/1999	No	201 Lbs	191 CM	No	No	No	2	Pro & Farm	1,627,500$	1,627,500$	0$	0$	No	1,627,500$	Link / NHL Link
Gerald Mayhew	Hooligans (HOO)	LW/RW	29	12/31/1992	No	161 Lbs	175 CM	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	Link / NHL Link
Hunter Drew	Hooligans (HOO)	D	23	10/21/1998	No	192 Lbs	188 CM	No	No	No	2	Pro & Farm	793,333$	793,333$	0$	0$	No	793,333$	Link
Jack Studnicka	Hooligans (HOO)	C/RW	23	2/18/1999	No	171 Lbs	185 CM	No	No	No	2	Pro & Farm	863,333$	863,333$	0$	0$	No	863,333$	Link / NHL Link
Jaroslav Halak	Hooligans (HOO)	G	37	5/13/1985	No	185 Lbs	180 CM	No	No	No	1	Pro & Farm	850,000$	850,000$	0$	0$	No		Link / NHL Link
Kale Clague	Hooligans (HOO)	D	24	6/5/1998	No	177 Lbs	183 CM	No	No	No	2	Pro & Farm	761,250$	761,250$	0$	0$	No	761,250$	Link / NHL Link
Mason Appleton	Hooligans (HOO)	LW/RW	26	1/15/1996	No	193 Lbs	188 CM	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	0$	No		Link / NHL Link
Matt Luff	Hooligans (HOO)	RW	25	5/5/1997	No	196 Lbs	188 CM	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No		Link / NHL Link
Matt Roy	Hooligans (HOO)	D	27	3/1/1995	No	200 Lbs	185 CM	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No		Link / NHL Link
Max Lajoie	Hooligans (HOO)	D	24	11/5/1997	No	196 Lbs	185 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Link
Michael Amadio	Hooligans (HOO)	C	26	5/13/1996	No	204 Lbs	185 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Link / NHL Link
Michael Anderson	Hooligans (HOO)	D	23	5/25/1999	No	196 Lbs	183 CM	No	No	No	2	Pro & Farm	1,775,000$	1,775,000$	0$	0$	No	1,775,000$	Link
Nico Sturm	Hooligans (HOO)	C/LW	27	5/2/1995	No	207 Lbs	191 CM	No	No	No	1	Pro & Farm	725,000$	725,000$	0$	0$	No		Link / NHL Link
Paul Ladue	Hooligans (HOO)	D	30	9/6/1992	No	197 Lbs	188 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Link
Rasmus Kupari	Hooligans (HOO)	C/RW	22	3/15/2000	No	183 Lbs	185 CM	No	No	No	1	Pro & Farm	1,050,833$	1,050,833$	0$	0$	No		Link
Reese Johnson	Hooligans (HOO)	RW	24	7/10/1998	No	193 Lbs	185 CM	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	Link
Samuel Fagemo	Hooligans (HOO)	LW/RW	22	3/14/2000	Yes	190 Lbs	180 CM	No	No	No	2	Pro & Farm	910,833$	910,833$	0$	0$	No	910,833$	Link
T.J. Tynan	Hooligans (HOO)	C/LW/RW	30	2/25/1992	No	165 Lbs	173 CM	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	Link
Tobias Bjornfot	Hooligans (HOO)	D	21	4/6/2001	No	203 Lbs	183 CM	No	No	No	2	Pro & Farm	1,052,500$	1,052,500$	0$	0$	No	1,052,500$	Link
Yakov Trenin	Hooligans (HOO)	C/LW	25	1/13/1997	No	201 Lbs	188 CM	No	No	No	2	Pro & Farm	725,000$	725,000$	0$	0$	No	725,000$	Link / NHL Link
Zach Aston-Reese	Hooligans (HOO)	LW/RW	28	8/10/1994	No	204 Lbs	183 CM	No	No	No	0	Pro & Farm			0$	0$	No		Link / NHL Link
Zack MacEwen	Hooligans (HOO)	C/LW/RW	26	7/8/1996	No	205 Lbs	191 CM	No	No	No	1	Pro & Farm	825,000$	825,000$	0$	0$	No		Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	25.43	191 Lbs	183 CM	1.53	867,934$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2		Nico Sturm	Jack Studnicka	30	1	2	2
3	Yakov Trenin	Blake Lizotte	Zack MacEwen	20	1	2	2
4	Carl Grundstrom	Michael Amadio		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		Nico Sturm	20	1	2	2
4	Blake Lizotte		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2		Nico Sturm	Jack Studnicka	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	Nico Sturm	Blake Lizotte	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	Nico Sturm	Blake Lizotte	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
Yakov Trenin, Carl Grundstrom, Michael Amadio	Yakov Trenin, Carl Grundstrom	Michael Amadio

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , Nico Sturm, Blake Lizotte,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

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

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

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

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

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

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

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

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

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

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

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

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score
1 - 2022-10-10	4	Werewolves	-	Hooligans	-
3 - 2022-10-12	11	Hooligans	-	Benchwarmers	-
5 - 2022-10-14	18	Barracuda	-	Hooligans	-
7 - 2022-10-16	25	Hooligans	-	Vagabond	-
9 - 2022-10-18	36	Caribou	-	Hooligans	-
11 - 2022-10-20	43	Hooligans	-	Leftovers	-
13 - 2022-10-22	52	Hooligans	-	Diabotins	-
16 - 2022-10-25	64	Hooligans	-	Pirates	-
18 - 2022-10-27	72	Knights	-	Hooligans	-
20 - 2022-10-29	80	Hooligans	-	Hybrides	-
22 - 2022-10-31	88	Hooligans	-	Pingouins	-
24 - 2022-11-02	96	Hooligans	-	Chevalier	-
26 - 2022-11-04	104	Casse-Tete	-	Hooligans	-
28 - 2022-11-06	112	Hooligans	-	Requins	-
30 - 2022-11-08	120	Jardiniers	-	Hooligans	-
31 - 2022-11-09	124	Hooligans	-	Werewolves	-
33 - 2022-11-11	131	Benchwarmers	-	Hooligans	-
35 - 2022-11-13	138	Hooligans	-	Barracuda	-
37 - 2022-11-15	145	Vagabond	-	Hooligans	-
39 - 2022-11-17	156	Hooligans	-	Caribou	-
41 - 2022-11-19	163	Leftovers	-	Hooligans	-
43 - 2022-11-21	172	Diabotins	-	Hooligans	-
46 - 2022-11-24	184	Pirates	-	Hooligans	-
48 - 2022-11-26	192	Hooligans	-	Knights	-
50 - 2022-11-28	200	Hybrides	-	Hooligans	-
52 - 2022-11-30	208	Pingouins	-	Hooligans	-
54 - 2022-12-02	216	Chevalier	-	Hooligans	-
56 - 2022-12-04	224	Hooligans	-	Casse-Tete	-
58 - 2022-12-06	232	Requins	-	Hooligans	-
60 - 2022-12-08	240	Hooligans	-	Jardiniers	-
61 - 2022-12-09	244	Werewolves	-	Hooligans	-
63 - 2022-12-11	251	Hooligans	-	Benchwarmers	-
65 - 2022-12-13	258	Barracuda	-	Hooligans	-
67 - 2022-12-15	265	Hooligans	-	Vagabond	-
69 - 2022-12-17	276	Caribou	-	Hooligans	-
71 - 2022-12-19	283	Hooligans	-	Leftovers	-
73 - 2022-12-21	292	Hooligans	-	Diabotins	-
76 - 2022-12-24	304	Hooligans	-	Pirates	-
78 - 2022-12-26	312	Knights	-	Hooligans	-
80 - 2022-12-28	320	Hooligans	-	Hybrides	-
82 - 2022-12-30	328	Hooligans	-	Pingouins	-
84 - 2023-01-01	336	Hooligans	-	Chevalier	-
86 - 2023-01-03	344	Casse-Tete	-	Hooligans	-
88 - 2023-01-05	352	Hooligans	-	Requins	-
90 - 2023-01-07	360	Jardiniers	-	Hooligans	-
91 - 2023-01-08	364	Hooligans	-	Werewolves	-
93 - 2023-01-10	371	Benchwarmers	-	Hooligans	-
95 - 2023-01-12	378	Hooligans	-	Barracuda	-
97 - 2023-01-14	385	Vagabond	-	Hooligans	-
99 - 2023-01-16	396	Hooligans	-	Caribou	-
101 - 2023-01-18	403	Leftovers	-	Hooligans	-
103 - 2023-01-20	412	Diabotins	-	Hooligans	-
106 - 2023-01-23	424	Pirates	-	Hooligans	-
108 - 2023-01-25	432	Hooligans	-	Knights	-
110 - 2023-01-27	440	Hybrides	-	Hooligans	-
112 - 2023-01-29	448	Pingouins	-	Hooligans	-
114 - 2023-01-31	456	Chevalier	-	Hooligans	-
116 - 2023-02-02	464	Hooligans	-	Casse-Tete	-
118 - 2023-02-04	472	Requins	-	Hooligans	-
120 - 2023-02-06	480	Hooligans	-	Jardiniers	-
121 - 2023-02-07	484	Werewolves	-	Hooligans	-
123 - 2023-02-09	491	Hooligans	-	Benchwarmers	-
125 - 2023-02-11	498	Barracuda	-	Hooligans	-
127 - 2023-02-13	505	Hooligans	-	Vagabond	-
129 - 2023-02-15	516	Caribou	-	Hooligans	-
131 - 2023-02-17	523	Hooligans	-	Leftovers	-
133 - 2023-02-19	532	Hooligans	-	Diabotins	-
135 - 2023-02-21	540	Hooligans	-	Werewolves	-
137 - 2023-02-23	547	Benchwarmers	-	Hooligans	-
139 - 2023-02-25	554	Hooligans	-	Barracuda	-
141 - 2023-02-27	561	Vagabond	-	Hooligans	-
143 - 2023-03-01	572	Hooligans	-	Caribou	-
145 - 2023-03-03	579	Leftovers	-	Hooligans	-
147 - 2023-03-05	588	Diabotins	-	Hooligans	-
149 - 2023-03-07	596	Werewolves	-	Hooligans	-
151 - 2023-03-09	603	Hooligans	-	Benchwarmers	-
153 - 2023-03-11	610	Barracuda	-	Hooligans	-
155 - 2023-03-13	617	Hooligans	-	Vagabond	-
157 - 2023-03-15	628	Caribou	-	Hooligans	-
159 - 2023-03-17	635	Hooligans	-	Leftovers	-
161 - 2023-03-19	644	Hooligans	-	Diabotins	-
164 - 2023-03-22	654	Caribou	-	Hooligans	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0.00%	0.00%
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,603,800$	2,294,300$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
15,877$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	164	15,877$	2,603,828$

Hooligans Stat Leaders (Regular Season)

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#	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	Eric Robinson	252	112	131	243	-179	18	391	457	917	12.21%	282	4923	19.54	22	56	78	129	1	1	2	9	6	7	40.95	9	0.99	3	16
2	Marko Dano	159	75	104	179	26	86	390	223	510	14.71%	99	3543	22.29	15	26	41	82	3	3	6	13	8	2	42.63	3	1.01	4	12
3	Chandler Stephenson	160	49	117	166	18	56	67	339	440	11.14%	143	3406	21.29	12	32	44	80	0	3	3	10	6	2	56.33	3	0.97	2	7
4	Noah Dobson	153	60	92	152	-164	20	388	224	571	10.51%	284	3825	25.01	34	37	71	151	0	1	1	6	6	1	42.86	3	0.79	0	1
5	Seth Griffith	239	59	86	145	25	102	299	495	556	10.61%	261	5029	21.04	14	15	29	117	1	2	3	10	6	4	37.16	4	0.58	4	16

Hooligans Goalies Stat Leaders (Regular Season)

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#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Jared Coreau	159	44	96	19	0.908	3.13	9590	12	8	500	5420	2933	3	4	0.580	50
2	Eric Comrie	168	33	121	8	0.858	5.55	9468	6	0	875	6148	3645	11	1	0.800	30
3	Tom McCollum	80	28	39	13	0.922	2.64	4859	0	0	214	2736	1489	2	1	0.692	52
4	Alexandar Georgiev	84	19	54	11	0.929	2.66	5063	4	1	224	3164	1679	6	3	0.704	71

Hooligans Career Team Stats

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	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
2016	83	18	41	0	6	2	5	11	238	309	-71	41	11	14	0	4	2	4	6	147	139	8	42	7	27	0	2	0	1	5	91	170	-79	71	238	358	596	1	1	82	70	75	16	2051	687	625	678	121	2828	1041	257	1553	260	49	18.85%	127	17	86.61%	2	505	1346	37.52%	498	1630	30.55%	371	1103	33.64%	1608	1000	2244	655	1228	583
2017	84	16	52	0	5	5	0	6	136	447	-311	42	9	22	0	4	4	0	3	77	232	-155	42	7	30	0	1	1	0	3	59	215	-156	53	136	242	378	2	4	32	48	51	11	1805	555	582	635	58	2485	933	516	1474	282	42	14.89%	262	40	84.73%	7	698	1366	51.10%	820	1580	51.90%	526	1172	44.88%	1702	985	2001	721	1391	691
2018	82	18	51	0	3	3	2	5	305	322	-17	41	10	23	0	1	2	1	4	164	150	14	41	8	28	0	2	1	1	1	141	172	-31	54	305	523	828	2	4	77	119	104	9	2352	773	753	790	62	3198	1129	465	1493	288	61	21.18%	226	54	76.11%	8	758	1515	50.03%	855	1852	46.17%	631	1232	51.22%	1651	1015	2069	674	1248	606
2019	84	11	54	0	4	2	4	9	130	255	-125	42	8	22	0	3	2	2	5	78	106	-28	42	3	32	0	1	0	2	4	52	149	-97	49	130	216	346	3	1	27	38	57	18	1966	551	667	712	105	3186	1139	406	1548	257	39	15.18%	204	48	76.47%	6	606	1399	43.32%	791	1995	39.65%	412	939	43.88%	1585	918	2219	690	1310	655
2020	84	12	68	0	1	2	0	1	301	738	-437	42	6	34	0	1	1	0	0	161	360	-199	42	6	34	0	0	1	0	1	140	378	-238	29	301	447	748	0	0	108	103	89	1	2596	889	879	824	10	2881	1276	585	1363	305	69	22.62%	290	116	60.00%	6	629	1440	43.68%	562	1380	40.72%	698	1648	42.35%	1753	1120	2027	665	1265	604
2021	84	15	59	0	2	1	3	4	218	423	-205	42	11	25	0	2	0	2	2	119	178	-59	42	4	34	0	0	1	1	2	99	245	-146	45	218	337	555	1	0	86	67	60	6	2269	753	733	751	55	3552	1436	208	1653	232	91	39.22%	105	27	74.29%	2	304	1271	23.92%	496	1773	27.98%	375	1207	31.07%	1259	747	2677	678	1141	465
Total Regular Season	502	226	196	0	19	23	16	22	2211	1682	529	251	129	77	0	9	11	9	16	1166	759	407	251	97	119	0	10	12	7	6	1045	923	122	567	2211	3695	5906	9	14	741	697	738	52	16301	5554	5370	5255	276	16626	6254	3957	9776	1821	458	25.15%	1832	437	76.15%	73	4769	10024	47.58%	4451	10312	43.16%	3409	7254	46.99%	11461	7554	11616	3930	7311	3616
Playoff
2016	4	0	4	0	0	0	0	0	3	22	-19	2	0	2	0	0	0	0	0	3	7	-4	2	0	2	0	0	0	0	0	0	15	-15	0	3	3	6	0	0	0	3	0	0	77	29	21	23	4	169	58	14	64	10	2	20.00%	7	4	42.86%	0	16	64	25.00%	25	104	24.04%	9	49	18.37%	67	39	128	32	57	25
Total Playoff	27	10	17	0	0	0	0	0	82	102	-20	14	6	8	0	0	0	0	0	44	56	-12	13	4	9	0	0	0	0	0	38	46	-8	20	82	136	218	0	0	33	25	21	3	924	319	316	269	20	954	375	194	517	89	19	21.35%	95	33	65.26%	2	241	569	42.36%	241	581	41.48%	182	371	49.06%	654	451	620	200	378	190

Hooligans Stat Leaders (Play-Off)

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#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	FO%	P/20
1	Joakim Andersson	4	0	2	2	-3	2	2	12	14	0.00%	4	94	23.53	0	1	1	1	50.00	0.42
2	Matt Tennyson	4	1	1	2	-3	0	7	1	4	25.00%	5	96	24.15	1	1	2	1	0.00%	0.41
3	Jiri Sekac	4	1	0	1	-5	0	3	10	13	7.69%	7	94	23.62	0	0	0	2	22.22	0.21
4	Stuart Percy	4	1	0	1	-3	2	13	10	11	9.09%	15	95	23.81	1	0	1	5	0.00%	0.21
5	Carl Klingberg	4	0	0	0	-9	0	12	3	11	0.00%	3	75	18.98	0	0	0	0	50.00	0.00%

Hooligans Goalies Stat Leaders (Play-Off)

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#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Tom McCollum	4	0	3	1	0.896	4.22	242	0	0	17	164	77	0	0	0.00%	0

	Hooligans
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Maxime Lord \| Morale : 50 \| Team Overall : 63 Next Games #4 vs Werewolves