Canadiens
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Daniel J.
	Division	Pacific Division
	Conférence	Western Conference
	Capitaine	Drew OConnor
	Assistant #1	Victor Soderstrom
	Assistant #2	Brayden Pachal
Informations de l’aréna
	Capacité	8,000
	Assistance
	Billets de saison	800
Informations de la formation
	Équipe Pro	39
	Équipe Mineure	17
	Limite contact	56 / 65
	Espoirs	16

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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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Drew OConnor (C)		X	X		100.00	66	50	93	83	76	82	94	75	61	70	72	79	65	47	59	0	99	0	0	26	1	1,100,000$
2	Ethan De Jong		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	52	62	0	69	0	0	25	1	735,000$
3	Damien Giroux	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	54	60	0	73	0	0	24	1	787,500$
4	John Leonard		X	X		100.00	60	50	92	68	74	75	92	65	61	65	64	67	65	49	57	0	99	0	0	26	1	735,000$
5	Joona Koppanen		X	X		100.00	60	50	92	64	82	75	89	63	64	64	62	70	65	55	68	0	99	0	0	26	1	850,855$
6	Samuel Walker	X				100.00	60	50	92	70	68	76	93	64	61	65	63	66	65	49	57	0	99	0	0	25	1	682,500$
7	Ville Koivunen	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	46	57	0	78	0	0	21	1	1,250,000$
8	Xavier Simoneau	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	62	0	0	23	1	650,000$
9	Victor Soderstrom (A)				X	100.00	62	50	90	71	70	82	90	64	25	65	63	72	65	50	60	0	99	0	0	23	2	1,575,000$
10	Lassi Thomson				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	50	60	0	66	0	0	24	1	1,575,000$
11	Philip Kemp				X	100.00	60	50	87	64	77	75	90	61	25	62	60	66	65	53	59	0	99	0	0	25	1	682,500$
12	Luke Hughes				X	100.00	62	50	92	89	75	88	95	82	25	80	73	69	65	40	55	0	99	0	0	21	2	1,500,000$
Rayé
1	David Cotton	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	56	62	0	19	0	0	27	1	868,219$
2	Riley Tufte		X	X		100.00	64	50	82	70	87	78	93	64	62	64	64	69	65	54	62	0	99	0	0	26	2	1,971,270$
3	Aapeli Rasanen	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	54	62	0	70	0	0	26	2	716,625$
4	Kale Howarth	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	51	59	0	20	0	0	27	2	1,576,875$
5	Logan Cockerill		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	53	59	0	20	0	0	25	1	771,750$
6	Greg Meireles	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	19	0	0	25	1	700,000$
7	Matias Mantykivi	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	45	0	0	23	1	750,000$
8	Sandis Vilmanis (R)		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	20	3	825,000$
9	Sasha Mutala (R)		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	23	2	825,000$
10	Jake Schmaltz (R)	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	23	2	650,000$
11	Sam Stange (R)		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	23	2	825,000$
12	Nick Capone (R)		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	23	2	700,000$
13	Max McCue (R)	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	21	3	700,000$
14	Filip Kral				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	54	60	0	79	0	0	25	1	779,625$
15	Brayden Pachal (A)				X	100.00	81	54	85	74	77	81	85	70	25	66	67	78	65	56	62	0	99	0	0	25	1	1,000,000$
16	Reilly Walsh				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	51	59	0	71	0	0	25	1	1,074,938$
17	Alexander Green				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	53	59	0	20	0	0	26	2	735,000$
18	Victor Berglund				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	55	59	0	23	0	0	25	1	716,625$
19	Roman Schmidt				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	44	57	0	78	0	0	21	1	825,000$
20	Simon Kjellberg				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	32	0	0	24	1	750,000$
21	Kieran Ruscheinski (R)				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	23	2	650,000$
22	Kyle Aucoin (R)				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	22	2	700,000$
23	Anton Johannesson (R)				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	22	2	750,000$

	MOYENNE D’ÉQUIPE					100.00	17	14	24	19	20	21	24	18	12	18	18	19	17	37	44	0	50	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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Jacob Kucharski	100.00	1	1	1	1	1	1	1	1	1	1	1	40	55	0	58	0	0	25	1	700,000$
2	Matteus Ward	100.00	1	1	1	1	1	1	1	1	1	1	1	40	55	0	64	0	0	23	2	800,000$
Rayé
1	Hugo Ollas (R)	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	22	2	650,000$
2	Jakub Vondras (R)	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	20	3	750,000$

	MOYENNE D’ÉQUIPE	100.00	1	1	1	1	1	1	1	1	1	1	1	21	28	0	31	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	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’équipe	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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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’équipe	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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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’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Aapeli Rasanen	Cougars (MTL)	C	26	1998-06-01	FIN	No	207 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	716,625$	716,625$	71,662$	71,662$	No	716,625$	-	-	-	-	-	-	-	-	716,625$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Alexander Green	Cougars (MTL)	D	26	1998-06-18	USA	No	196 Lbs	6 ft2	No	No	N/A	No	No	2	False	False	Pro & Farm	735,000$	735,000$	73,500$	73,500$	No	735,000$	-	-	-	-	-	-	-	-	735,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Anton Johannesson	Cougars (MTL)	D	22	2002-03-26	SWE	Yes	154 Lbs	5 ft9	No	No	N/A	No	No	2	False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Brayden Pachal	Cougars (MTL)	D	25	1999-08-23	CAN	No	202 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	1,000,000$	1,000,000$	100,000$	100,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Damien Giroux	Cougars (MTL)	C	24	2000-03-03	CAN	No	179 Lbs	5 ft10	No	No	N/A	No	No	1	False	False	Pro & Farm	787,500$	787,500$	78,750$	78,750$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
David Cotton	Cougars (MTL)	C	27	1997-07-09	USA	No	201 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	868,219$	868,219$	86,822$	86,822$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Drew OConnor	Cougars (MTL)	LW/RW	26	1998-06-09	USA	No	200 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	1,100,000$	1,100,000$	110,000$	110,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ethan De Jong	Cougars (MTL)	LW/RW	25	1999-07-12	CAN	No	181 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	735,000$	735,000$	73,500$	73,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Filip Kral	Cougars (MTL)	D	25	1999-10-20	CZE	No	198 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	779,625$	779,625$	77,962$	77,962$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Greg Meireles	Cougars (MTL)	C	25	1999-01-01	CAN	No	181 Lbs	5 ft10	No	No	N/A	No	No	1	False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Hugo Ollas	Cougars (MTL)	G	22	2002-04-24	SWE	Yes	238 Lbs	6 ft9	No	No	N/A	No	No	2	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jacob Kucharski	Cougars (MTL)	G	25	1999-09-25	USA	No	216 Lbs	6 ft4	No	No	N/A	No	No	1	False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jake Schmaltz	Cougars (MTL)	C/LW/RW	23	2001-04-24	USA	Yes	185 Lbs	6 ft2	No	No	N/A	No	No	2	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jakub Vondras	Cougars (MTL)	G	20	2004-05-21	CZE	Yes	185 Lbs	6 ft4	No	No	N/A	No	No	3	False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
John Leonard	Cougars (MTL)	LW/RW	26	1998-08-07	USA	No	196 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	735,000$	735,000$	73,500$	73,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Joona Koppanen	Cougars (MTL)	LW/RW	26	1998-02-25	FIN	No	216 Lbs	6 ft5	No	No	N/A	No	No	1	False	False	Pro & Farm	850,855$	850,855$	85,086$	85,086$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kale Howarth	Cougars (MTL)	C/LW/RW	27	1997-06-10	CAN	No	201 Lbs	6 ft5	No	No	N/A	No	No	2	False	False	Pro & Farm	1,576,875$	1,576,875$	157,688$	157,688$	No	1,576,875$	-	-	-	-	-	-	-	-	1,576,875$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kieran Ruscheinski	Cougars (MTL)	D	23	2001-03-05	CAN	Yes	206 Lbs	6 ft6	No	No	N/A	No	No	2	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kyle Aucoin	Cougars (MTL)	D	22	2002-07-02	CAN	Yes	185 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Lassi Thomson	Cougars (MTL)	D	24	2000-09-24	FIN	No	190 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	1,575,000$	1,575,000$	157,500$	157,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Logan Cockerill	Cougars (MTL)	LW/RW	25	1999-03-03	USA	No	174 Lbs	5 ft9	No	No	N/A	No	No	1	False	False	Pro & Farm	771,750$	771,750$	77,175$	77,175$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Luke Hughes	Cougars (MTL)	D	21	2003-09-09	USA	No	198 Lbs	6 ft2	No	No	N/A	No	No	2	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Matias Mantykivi	Cougars (MTL)	C	23	2001-06-21	FIN	No	161 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matteus Ward	Cougars (MTL)	G	23	2001-07-03	SWE	No	176 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Max McCue	Cougars (MTL)	C	21	2003-02-10	CAN	Yes	183 Lbs	6 ft1	No	No	N/A	No	No	3	False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	700,000$	700,000$	-	-	-	-	-	-	-	700,000$	700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Nick Capone	Cougars (MTL)	LW/RW	23	2001-12-17	USA	Yes	216 Lbs	6 ft2	No	No	N/A	No	No	2	False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	700,000$	-	-	-	-	-	-	-	-	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Philip Kemp	Cougars (MTL)	D	25	1999-02-12	USA	No	202 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	682,500$	682,500$	68,250$	68,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Reilly Walsh	Cougars (MTL)	D	25	1999-04-21	USA	No	185 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	1,074,938$	1,074,938$	107,494$	107,494$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Riley Tufte (contrat à 1 volet)	Cougars (MTL)	LW/RW	26	1998-04-10	USA	No	230 Lbs	6 ft6	No	No	N/A	No	No	2	False	False	Pro & Farm	1,971,270$	1,971,270$	1,642,725$	1,642,725$	No	1,314,180$	-	-	-	-	-	-	-	-	1,642,725$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Roman Schmidt	Cougars (MTL)	D	21	2003-02-27	USA	No	216 Lbs	6 ft5	No	No	N/A	No	No	1	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sam Stange	Cougars (MTL)	LW/RW	23	2001-04-20	USA	Yes	201 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Samuel Walker	Cougars (MTL)	C	25	1999-06-07	USA	No	180 Lbs	5 ft10	No	No	N/A	No	No	1	False	False	Pro & Farm	682,500$	682,500$	68,250$	68,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Sandis Vilmanis	Cougars (MTL)	LW/RW	20	2004-01-23	LAT	Yes	192 Lbs	6 ft2	No	No	N/A	No	No	3	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	825,000$	-	-	-	-	-	-	-	825,000$	825,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Sasha Mutala	Cougars (MTL)	LW/RW	23	2001-05-06	CAN	Yes	201 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	-	-	-	-	-	-	-	-	825,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Simon Kjellberg	Cougars (MTL)	D	24	2000-02-17	SWE	No	201 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Victor Berglund	Cougars (MTL)	D	25	1999-08-02	SWE	No	183 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	716,625$	716,625$	71,662$	71,662$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Victor Soderstrom	Cougars (MTL)	D	23	2001-02-26	SWE	No	184 Lbs	5 ft11	No	No	N/A	No	No	2	False	False	Pro & Farm	1,575,000$	1,575,000$	150,000$	150,000$	No	900,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Ville Koivunen	Cougars (MTL)	C/LW/RW	21	2003-06-13	FIN	No	161 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Xavier Simoneau	Cougars (MTL)	C	23	2001-05-19	CAN	No	183 Lbs	5 ft6	No	No	N/A	No	No	1	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
39	23.82	193 Lbs	6 ft1	1.54	894,469$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Damien Giroux	Drew OConnor	Joona Koppanen	28	1	2	2
2			John Leonard	28	1	2	2
3	Samuel Walker	Ville Koivunen	Ethan De Jong	25	1	2	2
4	Joona Koppanen		John Leonard	19	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Luke Hughes		28	1	2	2
2		Victor Soderstrom	28	1	2	2
3	Lassi Thomson		25	1	2	2
4	Victor Soderstrom		19	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Drew OConnor			50	1	2	2
2	Ethan De Jong	Joona Koppanen	John Leonard	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Soderstrom		50	1	2	2
2		Lassi Thomson	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Ethan De Jong	John Leonard	50	1	2	2
2			50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Lassi Thomson	50	1	2	2
2	Victor Soderstrom		50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1		50	1	2	2		Victor Soderstrom	50	1	2	2
2	John Leonard	50	1	2	2	Lassi Thomson		50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1			50	1	2	2
2	John Leonard	Ethan De Jong	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Soderstrom		50	1	2	2
2		Lassi Thomson	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Drew OConnor	John Leonard			Victor Soderstrom

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Drew OConnor	John Leonard			Victor Soderstrom

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, John Leonard,	, John Leonard	John Leonard

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Lassi Thomson, Victor Soderstrom,	Victor Soderstrom	Victor Soderstrom,

Tirs de pénalité
John Leonard, Joona Koppanen, Ethan De Jong, ,

Gardien
#1 : Matteus Ward, #2 : Jacob Kucharski

Lignes d’attaque personnalisées en prolongation
Ville Koivunen, Damien Giroux, Joona Koppanen, , Drew OConnor, Ethan De Jong, Ethan De Jong, Xavier Simoneau, John Leonard, , Samuel Walker

Lignes de défense personnalisées en prolongation
Lassi Thomson, , Victor Soderstrom, , Luke Hughes

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

	Total												Domicile											Visiteur
#	VS Équipe	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%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
0	0	0%	0	0	0%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
0	0	0	0	0	0	0	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
0	0	0%	0	0	0%	0	0	0%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
0	0	0	0	0	0

Derniers matchs joués 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	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	RI	Lien

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2
Capacité	2500	5500
Prix des billets	30	12
Assistance	0%	0%
Assistance PCT	0%	0%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0%	0$	0$	8000	110

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs
0$	3,291,302$	3,283,802$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	38	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	0$	0$

Cougars Leaders statistiques des joueurs (saison régulière)

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#	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

Cougars Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Cougars Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	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

Cougars Leaders statistiques des joueurs (séries éliminatoires)

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#	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

Cougars Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Cougars
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: Daniel J. \| Morale : 99 \| Moyenne d’équipe : N/A