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	Monsters
	GP: 4 \| W: 0 \| L: 4 GF: 9 \| GA: 23 \| PP%: 33.33% \| PK%: 66.67% DG: Jean Levergneaux \| Morale : 50 \| Moyenne d'�quipe : 66

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Blue Jackets
Formation
Points
Informations Joueurs
Lignes
Statistiques d'�quipe
Calendrier
Finance
Client Web pour Lignes


	Wolves 8-1-0, 16pts	5	FINAL	2	Monsters 0-4-0, 0pts

Team Stats
W1	Streak	L4
5-0-0	Home Record	0-2-0
3-1-0	Away Record	0-2-0
8-1-0	Last 10 Games	0-4-0
4.78		2.25
2.44		5.75
33.33%		33.33%
86.36%		66.67%

Wolves
8-1-0, 16pts

FINAL

Monsters
0-4-0, 0pts

Team Stats
W1	Streak	L4
5-0-0	Home Record	0-2-0
3-1-0	Away Record	0-2-0
8-1-0	Last 10 Games	0-4-0
4.78		2.25
2.44		5.75
33.33%		33.33%
86.36%		66.67%


	Buts Nikita Okhotiuk 3			Passes Filip Roos 4

	Points Filip Roos 5			Plus/Moins Matthew Robertson -1

	Victoires Louis Domingue 0			Pourcentage d'Arr�ts Louis Domingue 0.854

Statistiques d'�quipe
9 2.25 GFG	Tirs Pour 150 37.50 Avg	33.3% 3 GF	39.2%
Buts Contre 23 5.75 GAA	Tirs Contre 157 39.25 Avg	66.7% 2 GA	34.4%


	Directeur g�n�ral	Jean Levergneaux
		Metropolitan Division
		Eastern Conference




	Capacit� de l'Ar�na	5,000
	Assistance	5,000
		5,000

		24
		19
		43 / 55
	�spoirs	23

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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.
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

#	Nom du Joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	�ge	Contrat	Salaire Moyen
1	Sam Gagner	0	X		X		100.00	67	52	95	70	83	55	58	62	49	69	72	61	67	67	67	0	50	74	0	33	1	775,000$
2	Marian Studenic (R)	0		X	X		100.00	56	39	78	67	68	58	45	61	36	70	68	75	65	25	40	0	50	72	0	24	3	780,000$
3	Nicholas Abruzzese (R)	0		X	X		100.00	52	65	84	56	55	81	94	43	36	61	64	42	54	25	40	0	50	63	0	24	1	750,000$
4	Rhett Gardner	0	X	X			100.00	54	63	80	54	54	78	90	40	65	59	64	45	52	25	40	0	50	62	0	27	1	787,500$
5	Adam Brooks	0	X				100.00	53	57	82	55	55	63	73	42	65	61	64	45	53	25	40	0	50	61	0	27	1	1,237,500$
6	Marc Johnstone	0			X		100.00	53	65	82	53	53	81	94	39	36	57	64	41	51	25	40	0	50	61	0	27	1	750,000$
7	Shane Gersich	0		X			100.00	52	66	83	53	53	83	97	39	36	58	64	41	52	25	40	0	50	61	0	26	1	750,000$
8	Cole Reinhardt (R)	0		X			100.00	54	65	80	54	54	82	95	40	36	58	64	41	52	25	40	0	50	61	0	23	2	925,000$
9	Fredrik Karlstrom	0	X				100.00	52	63	84	53	54	76	88	40	65	58	64	41	52	25	40	0	50	60	0	25	2	806,000$
10	Nathan Legare (R)	0			X		100.00	54	64	80	52	53	80	93	38	36	57	64	35	51	25	40	0	50	60	0	22	2	789,167$
11	Nikita Pavlychev (R)	0	X				100.00	53	37	82	52	57	58	45	38	65	57	64	43	51	25	40	0	50	58	0	26	1	780,000$
12	Calle Rosen	0				X	100.00	67	51	97	69	80	56	59	65	40	71	70	65	68	68	68	0	50	76	0	29	3	876,875$
13	Christian Wolanin	0				X	100.00	66	51	96	70	80	58	55	65	40	69	68	55	66	66	66	0	50	74	0	28	2	889,875$
14	Filip Roos (R)	0				X	100.00	69	51	96	72	81	60	55	62	40	67	69	55	65	65	65	0	50	74	0	24	1	925,000$
15	William Lagesson	0				X	100.00	60	36	71	66	64	58	45	57	36	72	66	73	62	25	40	0	50	73	0	27	1	971,250$
16	Nikita Okhotiuk (R)	0				X	100.00	87	51	97	66	79	43	55	60	40	65	69	55	64	64	64	0	50	73	0	22	2	925,000$
17	Victor Mete (R)	0				X	100.00	67	52	96	69	80	50	55	60	40	68	68	55	64	64	64	0	50	72	0	25	2	962,000$
18	Matthew Robertson (R)	0				X	100.00	53	63	83	52	53	76	88	38	36	58	63	38	51	25	40	0	50	59	0	22	2	797,500$
Ray�
1	Santtu Kinnunen (R)	0				X	100.00	52	65	83	54	54	81	94	41	36	60	64	41	52	25	40	0	50	62	0	24	1	855,000$
2	Dillon Heatherington	0				X	100.00	54	53	80	53	53	58	61	39	36	58	63	43	51	25	40	0	50	59	0	28	2	861,625$
3	Simon Johansson (R)	0				X	100.00	52	62	83	52	52	75	87	37	36	57	63	37	50	25	40	0	50	59	0	24	1	855,000$

	MOYENNE D'�QUIPE						100.00	58	56	85	59	63	67	73	48	43	62	66	49	57	37	47	0	50	65

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	�ge	Contrat	Salaire Moyen
1	Louis Domingue	100.00	74	81	79	77	77	77	72	77	79	75	76	25	55	0	50	79	0	31	1	775,000$
2	Joey Daccord (R)	100.00	73	65	53	70	79	72	71	78	78	53	78	26	52	0	50	75	0	26	2	925,000$
Ray�
1	Jake Kupsky	100.00	71	65	53	61	71	60	69	55	60	72	64	25	55	0	50	65	0	27	1	750,000$

	MOYENNE D'�QUIPE	100.00	73	70	62	69	76	70	71	70	72	67	73	25	54	0	50	73

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	�ge	Contrat	Salaire

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'�quipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	FO%	FOT	GA	TA	P/20
1	Filip Roos	Monsters (CBJ)	D	4	1	4	5	-6	0	5	13	15	4	9	6.67%	13	81	20.32	1	2	3	5	7	5	0.00%	0	6	8	1.23
2	Nikita Okhotiuk	Monsters (CBJ)	D	4	3	1	4	-6	0	5	10	23	10	6	13.04%	7	81	20.32	1	1	2	8	7	5	0.00%	0	5	5	0.98
3	Calle Rosen	Monsters (CBJ)	D	4	2	1	3	-6	0	6	18	22	7	13	9.09%	13	100	25.09	0	0	0	1	8	3	0.00%	0	7	12	0.60
4	Christian Wolanin	Monsters (CBJ)	D	4	1	2	3	-5	0	5	4	12	2	2	8.33%	6	66	16.67	0	0	0	4	8	3	0.00%	0	1	5	0.90
5	Marc Johnstone	Monsters (CBJ)	RW	4	1	2	3	-5	2	3	2	4	0	2	25.00%	0	78	19.55	1	1	2	1	8	0	19.55	3	0	1	0.77
6	Adam Brooks	Monsters (CBJ)	C	4	0	2	2	-4	0	2	6	5	1	1	0.00%	3	68	17.04	0	0	0	0	0	1	17.04	45	3	1	0.59
7	Marian Studenic	Monsters (CBJ)	LW/RW	4	0	1	1	-5	0	4	11	14	5	7	0.00%	6	84	21.16	0	0	0	4	7	4	0.00%	2	2	4	0.24
8	Rhett Gardner	Monsters (CBJ)	C/LW	4	0	1	1	-5	4	5	9	0	2	3	0.00%	1	82	20.73	0	1	1	0	8	3	20.73	62	1	2	0.24
9	Sam Gagner	Monsters (CBJ)	C/RW	4	1	0	1	-6	2	8	5	17	6	9	5.88%	1	85	21.33	0	0	0	5	7	3	21.33	59	6	2	0.23
10	Shane Gersich	Monsters (CBJ)	LW	4	0	1	1	-5	0	3	6	5	4	0	0.00%	1	78	19.65	0	0	0	0	8	0	19.65	2	0	2	0.25
11	Fredrik Karlstrom	Monsters (CBJ)	C	4	0	0	0	-4	0	0	1	0	0	0	0.00%	0	31	7.84	0	0	0	0	0	0	7.84	25	0	0	0.00%
12	Nathan Legare	Monsters (CBJ)	RW	4	0	0	0	-4	2	6	1	7	0	2	0.00%	2	68	17.00	0	0	0	0	0	0	0.00%	2	0	0	0.00%
13	Matthew Robertson	Monsters (CBJ)	D	4	0	0	0	-1	0	1	1	0	0	0	0.00%	3	33	8.42	0	0	0	0	0	0	0.00%	0	1	1	0.00%
14	Nicholas Abruzzese	Monsters (CBJ)	LW/RW	4	0	0	0	-2	0	2	0	1	0	2	0.00%	2	60	15.04	0	0	0	0	7	5	15.04	7	0	1	0.00%
15	Victor Mete	Monsters (CBJ)	D	4	0	0	0	-3	0	0	6	10	5	2	0.00%	7	58	14.60	0	0	0	0	0	0	0.00%	0	9	1	0.00%
16	William Lagesson	Monsters (CBJ)	D	4	0	0	0	-3	2	5	10	8	6	4	0.00%	9	58	14.60	0	0	0	0	0	0	0.00%	0	2	7	0.00%
17	Cole Reinhardt	Monsters (CBJ)	LW	4	0	0	0	-4	0	7	4	7	1	1	0.00%	1	67	16.84	0	0	0	0	0	0	0.00%	1	0	1	0.00%
18	Nikita Pavlychev	Monsters (CBJ)	C	4	0	0	0	-1	0	0	0	0	0	0	0.00%	0	5	1.49	0	0	0	0	0	0	0.00%	1	0	0	0.00%
Stats d'�quipe Total ou en Moyenne				72	9	15	24	-75	12	67	107	150	53	63	6.00%	75	1190	16.54	3	5	8	28	79	36	41.63%	209	43	53	0.40

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'�quipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Louis Domingue	Monsters (CBJ)	4	0	4	0	0.854	5.75	240	0	0	23	157	87	0	0	0.00%	0	4	0	0	0	0
Stats d'�quipe Total ou en Moyenne			4	0	4	0	0.854	5.75	240	0	0	23	157	87	0	0	0.000	0	4	0	0	0	0

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'�quipe	POS	�ge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-�change	Disponible pour �change	Ballotage Forc�	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Ann�e 2	Salaire Ann�e 3	Link
Adam Brooks	Monsters (CBJ)	C	27	1996-05-06	No	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,237,500$	44,196$	1,237,500$	44,196$	0$	0$	No			Lien / Lien NHL
Calle Rosen	Monsters (CBJ)	D	29	1994-02-02	No	188 Lbs	6 ft1	No	No	No	3	Pro & Farm	876,875$	31,317$	876,875$	31,317$	0$	0$	No	876,875$	876,875$	Lien / Lien NHL
Christian Wolanin	Monsters (CBJ)	D	28	1995-03-17	No	190 Lbs	6 ft2	No	No	No	2	Pro & Farm	889,875$	31,781$	889,875$	31,781$	0$	0$	No	889,875$		Lien / Lien NHL
Cole Reinhardt	Monsters (CBJ)	LW	23	2000-02-01	Yes	200 Lbs	6 ft0	No	No	No	2	Farm Only	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Dillon Heatherington	Monsters (CBJ)	D	28	1995-05-09	No	232 Lbs	6 ft2	No	No	No	2	Pro & Farm	861,625$	30,772$	861,625$	30,772$	0$	0$	No	861,625$		Lien / Lien NHL
Filip Roos	Monsters (CBJ)	D	24	1999-01-05	Yes	190 Lbs	6 ft3	No	No	No	1	Pro & Farm	925,000$	33,036$	925,000$	33,036$	0$	0$	No			Lien / Lien NHL
Fredrik Karlstrom	Monsters (CBJ)	C	25	1998-01-12	No	195 Lbs	6 ft3	No	No	No	2	Pro & Farm	806,000$	28,786$	806,000$	28,786$	0$	0$	No	806,000$		Lien / Lien NHL
Jake Kupsky	Monsters (CBJ)	G	27	1995-10-27	No	194 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	26,786$	750,000$	26,786$	0$	0$	No			Lien / Lien NHL
Joey Daccord	Monsters (CBJ)	G	26	1996-08-19	Yes	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Louis Domingue	Monsters (CBJ)	G	31	1992-03-06	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	775,000$	27,679$	775,000$	27,679$	0$	0$	No			Lien / Lien NHL
Marc Johnstone	Monsters (CBJ)	RW	27	1996-06-19	No	181 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	26,786$	750,000$	26,786$	0$	0$	No			Lien / Lien NHL
Marian Studenic	Monsters (CBJ)	LW/RW	24	1998-10-28	Yes	178 Lbs	6 ft1	No	No	No	3	Pro & Farm	780,000$	27,857$	780,000$	27,857$	0$	0$	No	780,000$	780,000$	Lien / Lien NHL
Matthew Robertson	Monsters (CBJ)	D	22	2001-03-09	Yes	201 Lbs	6 ft4	No	No	No	2	Pro & Farm	797,500$	28,482$	797,500$	28,482$	0$	0$	No	797,500$		Lien / Lien NHL
Nathan Legare	Monsters (CBJ)	RW	22	2001-01-11	Yes	205 Lbs	6 ft0	No	No	No	2	Pro & Farm	789,167$	28,185$	789,167$	28,185$	0$	0$	No	789,167$		Lien / Lien NHL
Nicholas Abruzzese	Monsters (CBJ)	LW/RW	24	1999-06-04	Yes	183 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	26,786$	750,000$	26,786$	0$	0$	No			Lien / Lien NHL
Nikita Okhotiuk	Monsters (CBJ)	D	22	2000-12-04	Yes	195 Lbs	6 ft1	No	No	No	2	Pro & Farm	925,000$	33,036$	925,000$	33,036$	0$	0$	No	925,000$		Lien / Lien NHL
Nikita Pavlychev	Monsters (CBJ)	C	26	1997-03-23	Yes	201 Lbs	6 ft7	No	No	No	1	Pro & Farm	780,000$	27,857$	780,000$	27,857$	0$	0$	No			Lien / Lien NHL
Rhett Gardner	Monsters (CBJ)	C/LW	27	1996-02-28	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	787,500$	28,125$	787,500$	28,125$	0$	0$	No			Lien / Lien NHL
Sam Gagner	Monsters (CBJ)	C/RW	33	1989-08-10	No	201 Lbs	5 ft11	No	No	No	1	Pro & Farm	775,000$	27,679$	775,000$	27,679$	0$	0$	No			Lien / Lien NHL
Santtu Kinnunen	Monsters (CBJ)	D	24	1999-03-25	Yes	165 Lbs	6 ft2	No	No	No	1	Pro & Farm	855,000$	30,536$	855,000$	30,536$	0$	0$	No			Lien / Lien NHL
Shane Gersich	Monsters (CBJ)	LW	26	1996-07-10	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	750,000$	26,786$	750,000$	26,786$	0$	0$	No			Lien / Lien NHL
Simon Johansson	Monsters (CBJ)	D	24	1999-06-14	Yes	183 Lbs	6 ft2	No	No	No	1	Pro & Farm	855,000$	30,536$	855,000$	30,536$	0$	0$	No			Lien / Lien NHL
Victor Mete	Monsters (CBJ)	D	25	1998-06-07	Yes	187 Lbs	5 ft9	No	No	No	2	Pro & Farm	962,000$	34,357$	962,000$	34,357$	0$	0$	No	962,000$		Lien / Lien NHL
William Lagesson	Monsters (CBJ)	D	27	1996-02-22	No	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	971,250$	34,688$	971,250$	34,688$	0$	0$	No			Lien / Lien NHL

Joueurs Total	�ge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Ann�e
24	25.88	195 Lbs	6 ft1	1.54	854,137$

Attaque � 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Marian Studenic	Sam Gagner	Nicholas Abruzzese	30	1	2	2
2	Shane Gersich	Rhett Gardner	Marc Johnstone	30	1	2	2
3	Cole Reinhardt	Adam Brooks	Nathan Legare	20	1	2	2
4	Sam Gagner	Fredrik Karlstrom	Marian Studenic	20	1	2	2

D�fense � 5 contre 5
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Calle Rosen	Christian Wolanin	30	1	2	2
2	Filip Roos	Nikita Okhotiuk	30	1	2	2
3	William Lagesson	Victor Mete	20	1	2	2
4	Matthew Robertson	Calle Rosen	20	1	2	2

Attaque en Avantage Num�rique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Marian Studenic	Sam Gagner	Nicholas Abruzzese	50	1	2	2
2	Shane Gersich	Rhett Gardner	Marc Johnstone	50	1	2	2

D�fense en Avantage Num�rique
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Calle Rosen	Christian Wolanin	50	1	2	2
2	Filip Roos	Nikita Okhotiuk	50	1	2	2

Attaque � 4 en D�savantage Num�rique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sam Gagner	Marian Studenic	50	1	2	2
2	Nicholas Abruzzese	Rhett Gardner	50	1	2	2

D�fense � 4 en D�savantage Num�rique
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Calle Rosen	Christian Wolanin	50	1	2	2
2	Filip Roos	Nikita Okhotiuk	50	1	2	2

3 joueurs en D�savantage Num�rique
Ligne #	Ailier	% Temps	PHY	DF	OF	D�fense	D�fense	% Temps	PHY	DF	OF
1	Sam Gagner	50	1	2	2	Calle Rosen	Christian Wolanin	50	1	2	2
2	Marian Studenic	50	1	2	2	Filip Roos	Nikita Okhotiuk	50	1	2	2

Attaque � 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sam Gagner	Marian Studenic	50	1	2	2
2	Nicholas Abruzzese	Rhett Gardner	50	1	2	2

D�fense � 4 contre 4
Ligne #	D�fense	D�fense	% Temps	PHY	DF	OF
1	Calle Rosen	Christian Wolanin	50	1	2	2
2	Filip Roos	Nikita Okhotiuk	50	1	2	2

Attaque Derni�re Minute
Ailier Gauche	Centre	Ailier Droit	D�fense	D�fense
Marian Studenic	Sam Gagner	Nicholas Abruzzese	Calle Rosen	Christian Wolanin

D�fense Derni�re Minute
Ailier Gauche	Centre	Ailier Droit	D�fense	D�fense
Marian Studenic	Sam Gagner	Nicholas Abruzzese	Calle Rosen	Christian Wolanin

Attaquants Suppl�mentaires
Normal	Avantage Num�rique	D�savantage Num�rique
Nikita Pavlychev, Cole Reinhardt, Adam Brooks	Nikita Pavlychev, Cole Reinhardt	Adam Brooks

D�fenseurs Suppl�mentaires
Normal	Avantage Num�rique	D�savantage Num�rique
William Lagesson, Victor Mete, Matthew Robertson	William Lagesson	Victor Mete, Matthew Robertson

Tirs de P�nalit�
Sam Gagner, Marian Studenic, Nicholas Abruzzese, Rhett Gardner, Marc Johnstone

Gardien
#1 : Louis Domingue, #2 : Joey Daccord

Lignes d'Attaque Perso. en Prol.
Sam Gagner, Marian Studenic, Nicholas Abruzzese, Rhett Gardner, Marc Johnstone, Shane Gersich, Shane Gersich, Cole Reinhardt, Adam Brooks, Nathan Legare, Fredrik Karlstrom

Lignes de D�fense Perso. en Prol.
Calle Rosen, Christian Wolanin, Filip Roos, Nikita Okhotiuk, William Lagesson

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS �quipe	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	Wolves	4	0	4	0	0	0	0	0	9	23	-14	2	0	2	0	0	0	0	0	4	11	-7	2	0	2	0	0	0	0	0	5	12	-7	0	0.000	9	15	24	0	0	5	4	0	0	150	68	56	26	0	157	75	12	67	9	3	33.33%	6	2	66.67%	0	35	82	42.68%	28	72	38.89%	24	55	43.64%	82	52	95	31	62	30
	Total	4	0	4	0	0	0	0	0	9	23	-14	2	0	2	0	0	0	0	0	4	11	-7	2	0	2	0	0	0	0	0	5	12	-7	0	0.000	9	15	24	0	0	5	4	0	0	150	68	56	26	0	157	75	12	67	9	3	33.33%	6	2	66.67%	0	35	82	42.68%	28	72	38.89%	24	55	43.64%	82	52	95	31	62	30
	_Since Last GM Reset	4	0	4	0	0	0	0	0	9	23	-14	2	0	2	0	0	0	0	0	4	11	-7	2	0	2	0	0	0	0	0	5	12	-7	0	0.000	9	15	24	0	0	5	4	0	0	150	68	56	26	0	157	75	12	67	9	3	33.33%	6	2	66.67%	0	35	82	42.68%	28	72	38.89%	24	55	43.64%	82	52	95	31	62	30
	_Vs Conference	4	0	4	0	0	0	0	0	9	23	-14	2	0	2	0	0	0	0	0	4	11	-7	2	0	2	0	0	0	0	0	5	12	-7	0	0.000	9	15	24	0	0	5	4	0	0	150	68	56	26	0	157	75	12	67	9	3	33.33%	6	2	66.67%	0	35	82	42.68%	28	72	38.89%	24	55	43.64%	82	52	95	31	62	30
	_Vs Division	4	0	4	0	0	0	0	0	9	23	-14	2	0	2	0	0	0	0	0	4	11	-7	2	0	2	0	0	0	0	0	5	12	-7	0	0.000	9	15	24	0	0	5	4	0	0	150	68	56	26	0	157	75	12	67	9	3	33.33%	6	2	66.67%	0	35	82	42.68%	28	72	38.89%	24	55	43.64%	82	52	95	31	62	30

			Total Pour les Joueurs
Matchs Jou�s	Points	S�quence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqu�s	Minutes de P�nalit�	Mises en �chec	Buts en Filet D�sert	Blanchissage
4	0	L4	9	15	24	150	157	75	12	67	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	9	23

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	4	11

Matchs �xt�rieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	12

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	4	0	0	0	0

Tentatives en Avantage Num�rique	Buts en Avantage Num�rique	% en Avantage Num�rique	Tentatives en D�savantage Num�rique	Buts Contre en D�savantage Num�rique	% en D�savantage Num�rique	Buts Pour en D�savantage Num�rique
9	3	33.33%	6	2	66.67%	0

Tirs en 1e P�riode	Tirs en 2e P�riode	Tirs en 3e P�riode	Tirs en 4e P�riode	Buts en 1e P�riode	Buts en 2e P�riode	Buts en 3e P�riode	Buts en 4e P�riode
68	56	26	0	5	4	0	0

Mises en Jeu
Gagn�es en Zone Offensive	Total en Zone Offensive	% Gagn�es en Zone Offensive	Gagn�es en Zone D�fensive	Total en Zone D�fensive	% Gagn�es en Zone D�fensive	Gagn�es en Zone Neutre	Total en Zone Neutre	% Gagn�es en Zone Neutre
35	82	42.68%	28	72	38.89%	24	55	43.64%

Temps Avec la Rondelle
En Zone Offensive	Contr�le en Zone Offensive	En Zone D�fensive	Contr�le en Zone D�fensive	En Zone Neutre	Contr�le en Zone Neutre
82	52	95	31	62	30

Derniers Match Jou�s Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	�quipe Visiteuse	Score	�quipe Locale	Score	ST	Lien
1 - 2024-04-18	3	Monsters	2	Wolves	6	AL	Sommaire du Match
3 - 2024-04-20	11	Monsters	3	Wolves	6	AL	Sommaire du Match
5 - 2024-04-22	19	Wolves	5	Monsters	2	BL	Sommaire du Match
7 - 2024-04-24	27	Wolves	6	Monsters	2	BL	Sommaire du Match

Capacit� de l'Ar�na - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacit� de l'Ar�na	3500	1500
Prix des Billets	50	25
Assistance	7,000	3,000
Assistance PCT	100.00%	100.00%

Revenus
Matchs � domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels � ce Jour	Capacit� de l'Ar�na	Popularit� de l'�quipe
39	5000 - 100.00%	108,375$	216,750$	5000	100

D�penses
D�penses Annuelles � Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	20,499,292$	20,499,292$	0$

Cap Salarial Par Jour	Cap salarial � ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0	0

�stimation
Revenus de la Saison �stim�s	Jours Restants de la Saison	D�penses Par Jour	D�penses de la Saison �stim�es
0$	1	0$	0$

Monsters

Afficher ou Masquer des Colonnes

#	Nom du Joueur	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	Adam Brooks	246	127	196	323	117	16	242	243	576	22.05%	63	4321	17.57	16	27	43	51	2	0	2	10	11	3	46.83%	12	1.49	0	3
2	Jaret Anderson-Dolan	82	136	182	318	131	6	81	75	398	34.17%	34	1655	20.19	25	33	58	64	0	1	1	0	8	2	56.54%	17	3.84	0	2
3	Rhett Gardner	246	132	183	315	120	66	318	188	538	24.54%	58	4240	17.24	24	38	62	70	0	0	0	0	8	1	54.52%	13	1.49	0	0
4	Marian Studenic	246	106	175	281	13	60	289	302	728	14.56%	142	3868	15.73	14	20	34	72	1	1	2	7	9	4	37.57%	4	1.45	1	2
5	Julien Gauthier	82	135	123	258	117	16	96	97	364	37.09%	43	1607	19.60	17	19	36	61	7	2	9	13	8	2	50.65%	13	3.21	0	3

Monsters

Afficher ou Masquer des Colonnes

#	Nom du Gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Joey Daccord	168	96	47	5	0.833	4.95	9076	8	4	748	4479	2485	11	0	0.714	7
2	Troy Grosenick	70	48	14	2	0.918	2.72	3966	2	1	180	2207	1380	5	1	0.500	8
3	Louis Domingue	29	12	6	0	0.888	3.80	1312	4	1	83	741	407	1	0	1.000	8

Monsters

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Ann�e	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
Saison R�guli�re
2021	82	56	22	0	0	2	1	1	861	512	349	41	29	11	0	0	1	0	0	454	266	188	41	27	11	0	0	1	1	1	407	246	161	117	861	1379	2240	0	4	0	356	314	190	2650	0	849	935	865	2043	755	1349	1011	232	105	45.26%	178	53	70.22%	11	600	1269	47.28%	481	1114	43.18%	999	2006	49.80%	1914	1345	1840	571	1178	594
2022	82	45	26	0	6	3	1	1	312	262	50	41	25	9	0	4	2	0	1	179	117	62	41	20	17	0	2	1	1	0	133	145	-12	108	312	546	858	1	1	125	92	88	9	2971	1084	980	893	22	2713	936	378	1735	168	38	22.62%	180	34	81.11%	8	819	1515	54.06%	732	1419	51.59%	586	1145	51.18%	1813	1155	1818	669	1315	648
2023	82	42	33	0	3	1	3	0	360	326	34	41	24	13	0	2	0	2	0	197	149	48	41	18	20	0	1	1	1	0	163	177	-14	97	360	579	939	0	1	158	112	84	7	2878	1070	900	895	20	2882	1099	421	1665	124	43	34.68%	108	22	79.63%	3	748	1524	49.08%	759	1536	49.41%	607	1240	48.95%	1777	1108	1788	671	1377	695
Total Saison R�guli�re	246	143	81	0	9	6	5	2	1533	1100	433	123	78	33	0	6	3	2	1	830	532	298	123	65	48	0	3	3	3	1	703	568	135	322	1533	2504	4037	1	6	283	560	486	206	8499	2154	2729	2723	907	7638	2790	2148	4411	524	186	35.50%	466	109	76.61%	22	2167	4308	50.30%	1972	4069	48.46%	2192	4391	49.92%	5505	3609	5448	1913	3870	1938
S�ries
2021	9	5	4	0	0	0	0	0	81	68	13	5	3	2	0	0	0	0	0	49	35	14	4	2	2	0	0	0	0	0	32	33	-1	10	81	117	198	0	0	0	42	24	15	297	0	103	88	103	268	93	81	84	22	11	50.00%	24	6	75.00%	0	60	124	48.39%	44	123	35.77%	104	211	49.29%	214	155	205	62	123	59
2022	6	2	4	0	0	0	0	0	14	16	-2	3	1	2	0	0	0	0	0	7	7	0	3	1	2	0	0	0	0	0	7	9	-2	4	14	24	38	0	0	7	1	5	1	200	62	48	63	27	244	96	32	105	16	3	18.75%	16	2	87.50%	0	49	107	45.79%	56	119	47.06%	30	65	46.15%	126	77	153	51	98	49
2023	4	0	4	0	0	0	0	0	9	23	-14	2	0	2	0	0	0	0	0	4	11	-7	2	0	2	0	0	0	0	0	5	12	-7	0	9	15	24	0	0	5	4	0	0	150	68	56	26	0	157	75	12	67	9	3	33.33%	6	2	66.67%	0	35	82	42.68%	28	72	38.89%	24	55	43.64%	82	52	95	31	62	30
Total S�ries	19	7	12	0	0	0	0	0	104	107	-3	10	4	6	0	0	0	0	0	60	53	7	9	3	6	0	0	0	0	0	44	54	-10	14	104	156	260	0	0	12	47	29	16	647	130	207	177	130	669	264	125	256	47	17	36.17%	46	10	78.26%	0	144	313	46.01%	128	314	40.76%	158	331	47.73%	423	285	453	145	284	139

Monsters

Afficher ou Masquer des Colonnes

#	Nom du Joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	GW	GT	FO%	HT	P/20
1	Adam Brooks	19	14	17	31	4	0	18	18	50	28.00%	10	319	16.83	6	1	7	9	1	0	43.41%	2	1.94
2	Rhett Gardner	19	9	21	30	-2	10	24	26	50	18.00%	7	355	18.72	0	5	5	6	1	1	46.27%	0	1.69
3	Julien Gauthier	9	15	15	30	6	2	12	12	46	32.61%	10	175	19.52	1	6	7	2	1	1	25.00%	2	3.42
4	Jaret Anderson-Dolan	9	20	9	29	6	0	10	9	43	46.51%	3	178	19.81	4	0	4	8	0	0	55.41%	3	3.25
5	William Lockwood	15	10	8	18	-3	2	22	14	44	22.73%	2	243	16.26	0	0	0	0	1	1	41.11%	1	1.48

Monsters

Afficher ou Masquer des Colonnes

#	Nom du Gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Troy Grosenick	6	2	2	2	0.934	2.55	377	0	0	16	244	164	0	0	0.000	0
2	Louis Domingue	4	0	4	0	0.854	5.75	240	0	0	23	157	87	0	0	0.000	0

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