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

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Felix
	Entraîneur	Phil Housley
	Division	Central Division
	Conférence	Western Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Capacité	8,000
	Assistance
	Billets de saison	800
Informations de la formation
	Équipe Pro	36
	Équipe Mineure	17
	Limite contact	53 / 65
	Espoirs	21

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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	Angus Crookshank		X	X		100.00	64	50	82	73	68	77	90	69	61	68	69	69	65	52	60	0	99	0	0	25	1	787,500$
2	Chaz Lucius	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	45	58	0	66	0	0	21	1	1,500,000$
3	William Dufour		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	61	0	0	22	1	750,000$
4	Evan Vierling	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	80	0	0	22	2	825,000$
5	James Hardie		X			100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	24	0	0	22	2	650,000$
6	Zachary Bolduc	X				100.00	64	50	93	81	71	79	92	74	62	68	72	68	65	40	55	0	99	0	0	21	2	1,500,000$
7	Zach Dean	X				100.00	62	50	91	63	67	77	88	64	75	64	65	71	65	40	55	0	99	0	0	21	2	1,500,000$
8	Josh Bloom		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	79	0	0	21	2	975,000$
9	Francesco Pinelli	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	76	0	0	21	2	1,250,000$
10	Jayden Grubbe	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	75	0	0	21	2	1,250,000$
11	Jackson LaCombe				X	100.00	67	50	92	80	78	86	91	74	25	70	65	81	65	40	55	0	99	0	0	23	1	1,250,000$
12	Domenick Fensore				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	79	0	0	23	1	825,000$
13	Pavel Mintyukov				X	100.00	72	50	92	88	74	85	89	79	25	77	69	75	65	40	55	0	99	0	0	21	2	1,500,000$
14	Michael Buchinger				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	63	0	0	20	2	975,000$
Rayé
1	William Cuylle		X	X		100.00	85	56	89	76	80	78	94	72	61	65	70	73	65	49	57	0	99	0	0	22	4	1,250,000$
2	Hendrix Lapierre	X				100.00	65	50	95	84	69	78	91	75	71	71	70	68	65	52	60	0	99	0	0	22	4	1,500,000$
3	Jan Mysak	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	52	60	0	20	0	0	22	1	1,312,500$
4	Ethen Frank	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	45	59	0	80	0	0	26	1	682,500$
5	Owen Lindmark	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	20	0	0	23	1	825,000$
6	Ty Voit	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	53	0	0	21	2	700,000$
7	Adam Sykora	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	20	0	0	20	2	1,250,000$
8	Aaron Huglen (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	975,000$
9	Jackson Kunz (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	825,000$
10	Oliver Kapanen (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	1,250,000$
11	Kalle Vaisanen (R)		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	21	3	975,000$
12	Luca Pinelli (R)	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	19	3	825,000$
13	Mathieu Cataford (R)		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	19	3	975,000$
14	Oscar Plandowski				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	51	0	0	21	2	750,000$
15	Samuel Johannesson (R)				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	24	2	700,000$
16	Tyson Galloway (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	825,000$
17	Jake Furlong (R)				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	20	3	750,000$
18	Oliver Bonk (R)				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	19	3	1,500,000$
19	Etienne Morin (R)				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	19	3	1,250,000$

	MOYENNE D’ÉQUIPE					100.00	15	12	20	17	16	18	20	16	12	15	15	16	15	27	36	0	47	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	Matt Villalta	100.00	1	1	1	1	1	1	1	1	1	1	1	57	67	0	57	0	0	25	1	854,438$
2	Joel Blomqvist	100.00	1	1	1	1	1	1	1	1	1	1	1	40	55	0	67	0	0	22	2	1,250,000$
Rayé
1	Nolan Lalonde	100.00	1	1	1	1	1	1	1	1	1	1	1	40	55	0	70	0	0	20	2	650,000$

	MOYENNE D’ÉQUIPE	100.00	1	1	1	1	1	1	1	1	1	1	1	46	59	0	65	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Phil Housley	76	77	77	79	66	71	1	USA	64	1	600,000$

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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
Aaron Huglen	White Wolves (CHI)	C/LW/RW	23	2001-03-06	USA	Yes	170 Lbs	6 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	975,000$	-	-	-	-	-	-	-	-	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Adam Sykora	White Wolves (CHI)	C/LW/RW	20	2004-09-07	SVK	No	172 Lbs	6 ft6	No	No	N/A	No	No	2	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Angus Crookshank	White Wolves (CHI)	LW/RW	25	1999-10-02	CAN	No	181 Lbs	5 ft10	No	No	N/A	No	No	1	False	False	Pro & Farm	787,500$	787,500$	78,750$	78,750$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Chaz Lucius	White Wolves (CHI)	C	21	2003-05-02	USA	No	185 Lbs	6 ft1	No	No	N/A	No	No	1	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Domenick Fensore	White Wolves (CHI)	D	23	2001-09-07	USA	No	171 Lbs	5 ft8	No	No	N/A	No	No	1	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ethen Frank	White Wolves (CHI)	C	26	1998-02-05	USA	No	185 Lbs	5 ft11	No	No	N/A	No	No	1	False	False	Pro & Farm	682,500$	682,500$	68,250$	68,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Etienne Morin	White Wolves (CHI)	D	19	2005-03-09	CAN	Yes	185 Lbs	6 ft0	No	No	N/A	No	No	3	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	1,250,000$	-	-	-	-	-	-	-	1,250,000$	1,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Evan Vierling	White Wolves (CHI)	C	22	2002-06-20	CAN	No	183 Lbs	6 ft4	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	-	-	-	-	-	-	-	-
Francesco Pinelli	White Wolves (CHI)	C	21	2003-04-11	CAN	No	185 Lbs	7 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Hendrix Lapierre	White Wolves (CHI)	C	22	2002-02-09	CAN	No	180 Lbs	6 ft0	No	No	N/A	No	No	4	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	-	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Jackson Kunz	White Wolves (CHI)	C	22	2002-08-13	USA	Yes	227 Lbs	6 ft3	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	-	-	-	-	-	-	-	-
Jackson LaCombe	White Wolves (CHI)	D	23	2001-01-09	USA	No	205 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jake Furlong	White Wolves (CHI)	D	20	2004-03-04	CAN	Yes	201 Lbs	6 ft1	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	-	-	-	-	-	-	-
James Hardie	White Wolves (CHI)	LW	22	2002-01-18	CAN	No	180 Lbs	6 ft8	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	-	-	-	-	-	-	-	-
Jan Mysak	White Wolves (CHI)	C/LW/RW	22	2002-06-24	CZE	No	176 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	1,312,500$	1,312,500$	131,250$	131,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jayden Grubbe	White Wolves (CHI)	C	21	2003-01-12	CAN	No	191 Lbs	7 ft8	No	No	N/A	No	No	2	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Joel Blomqvist	White Wolves (CHI)	G	22	2002-01-10	SWE	No	189 Lbs	6 ft11	No	No	N/A	No	No	2	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Josh Bloom	White Wolves (CHI)	LW/RW	21	2003-06-08	CAN	No	188 Lbs	6 ft11	No	No	N/A	No	No	2	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	975,000$	-	-	-	-	-	-	-	-	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kalle Vaisanen	White Wolves (CHI)	LW/RW	21	2003-01-28	FIN	Yes	194 Lbs	6 ft5	No	No	N/A	No	No	3	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	975,000$	975,000$	-	-	-	-	-	-	-	975,000$	975,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Luca Pinelli	White Wolves (CHI)	C	19	2005-04-05	CAN	Yes	168 Lbs	5 ft9	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	-	-	-	-	-	-	-
Mathieu Cataford	White Wolves (CHI)	LW/RW	19	2005-03-01	CAN	Yes	190 Lbs	5 ft11	No	No	N/A	No	No	3	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	975,000$	975,000$	-	-	-	-	-	-	-	975,000$	975,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Matt Villalta	White Wolves (CHI)	G	25	1999-06-03	CAN	No	165 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	854,438$	854,438$	85,444$	85,444$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Michael Buchinger	White Wolves (CHI)	D	20	2004-04-25	CAN	No	183 Lbs	7 ft0	No	No	N/A	No	No	2	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	975,000$	-	-	-	-	-	-	-	-	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Nolan Lalonde	White Wolves (CHI)	G	20	2004-02-14	CAN	No	185 Lbs	7 ft1	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	-	-	-	-	-	-	-	-
Oliver Bonk	White Wolves (CHI)	D	19	2005-01-09	CAN	Yes	179 Lbs	6 ft2	No	No	N/A	No	No	3	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Oliver Kapanen	White Wolves (CHI)	C	21	2003-07-29	FIN	Yes	183 Lbs	6 ft1	No	No	N/A	No	No	3	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	1,250,000$	-	-	-	-	-	-	-	1,250,000$	1,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Oscar Plandowski	White Wolves (CHI)	D	21	2003-05-18	CAN	No	183 Lbs	7 ft2	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	-	-	-	-	-	-	-	-
Owen Lindmark	White Wolves (CHI)	C	23	2001-05-17	USA	No	183 Lbs	7 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Pavel Mintyukov	White Wolves (CHI)	D	21	2003-11-25	RUS	No	195 Lbs	6 ft1	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	-	-	-	-	-	-	-	-
Samuel Johannesson	White Wolves (CHI)	D	24	2000-12-27	SWE	Yes	176 Lbs	5 ft11	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	-	-	-	-	-	-	-	-
Ty Voit	White Wolves (CHI)	C/LW/RW	21	2003-06-10	USA	No	178 Lbs	6 ft1	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	-	-	-	-	-	-	-	-
Tyson Galloway	White Wolves (CHI)	D	21	2003-01-20	CAN	Yes	201 Lbs	6 ft4	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	-	-	-	-	-	-	-
William Cuylle	White Wolves (CHI)	LW/RW	22	2002-02-05	CAN	No	210 Lbs	6 ft3	No	No	N/A	No	No	4	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	1,250,000$	1,250,000$	-	-	-	-	-	-	1,250,000$	1,250,000$	1,250,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
William Dufour	White Wolves (CHI)	LW/RW	22	2002-01-28	CAN	No	215 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	750,000$	750,000$	75,000$	75,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Zach Dean	White Wolves (CHI)	C	21	2003-01-04	CAN	No	176 Lbs	6 ft0	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	-	-	-	-	-	-	-	-
Zachary Bolduc	White Wolves (CHI)	C	21	2003-02-24	CAN	No	187 Lbs	6 ft0	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	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
36	21.56	186 Lbs	6 ft4	2.08	1,039,221$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Zach Dean	Josh Bloom	28	1	2	2
2	Angus Crookshank	Zachary Bolduc	William Dufour	28	1	2	2
3	Jayden Grubbe	Evan Vierling	James Hardie	25	1	2	2
4		Francesco Pinelli	Evan Vierling	19	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Michael Buchinger		34	1	2	2
2	Pavel Mintyukov	Domenick Fensore	33	1	2	2
3	Jackson LaCombe		33	1	2	2
4	Michael Buchinger		0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Zach Dean	Josh Bloom	50	1	2	2
2	Angus Crookshank	Zachary Bolduc	William Dufour	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Michael Buchinger		50	1	2	2
2	Pavel Mintyukov	Domenick Fensore	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Zach Dean	50	1	2	2
2	Zachary Bolduc	Evan Vierling	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Michael Buchinger		50	1	2	2
2	Pavel Mintyukov	Domenick Fensore	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	Michael Buchinger		50	1	2	2
2	Zach Dean	50	1	2	2	Pavel Mintyukov	Domenick Fensore	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Zach Dean	50	1	2	2
2	Zachary Bolduc	Evan Vierling	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Michael Buchinger		50	1	2	2
2	Pavel Mintyukov	Domenick Fensore	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Zach Dean	Josh Bloom	Michael Buchinger

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Zach Dean	Josh Bloom	Michael Buchinger

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
James Hardie, , Chaz Lucius	Francesco Pinelli,	Chaz Lucius

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jackson LaCombe, , Pavel Mintyukov	Jackson LaCombe	, Pavel Mintyukov

Tirs de pénalité
, Zach Dean, Zachary Bolduc, Evan Vierling, Jayden Grubbe

Gardien
#1 : Joel Blomqvist, #2 : Matt Villalta

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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	32	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$	3,741,194$	3,741,194$	600,000$0$

Plafond salarial par jour	Plafond salarial à ce jour	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	36	0

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

White Wolves 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

White Wolves 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

White Wolves 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

White Wolves 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

White Wolves 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

	White Wolves
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: Felix \| Morale : 99 \| Moyenne d’équipe : N/A