Blue Jackets
Domicile
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Statistiques d’équipe
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Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Patrick
	Entraîneur	Karl Taylor
	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	31
	Équipe Mineure	18
	Limite contact	49 / 65
	Espoirs	17

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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	Oskar Lindblom		X	X		100.00	62	50	91	66	73	78	83	62	61	62	62	69	65	60	65	0	99	0	0	28	1	1,850,000$
2	Aidan Dudas	X				100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	55	61	0	81	0	0	24	2	650,000$
3	Nick Ritchie		X	X		100.00	84	52	88	78	88	80	70	74	61	69	71	73	69	60	61	0	99	0	0	29	2	3,250,000$
4	Sasha Pastujov		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	43	55	0	82	0	0	21	1	1,250,000$
5	Carson Latimer		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	83	0	0	21	2	825,000$
6	Kaedan Korczak				X	100.00	73	50	92	85	77	83	85	77	25	74	66	72	65	54	60	0	99	0	0	23	1	1,312,500$
7	Simon Edvinsson				X	100.00	64	50	86	71	80	85	92	68	25	70	67	73	65	44	55	0	99	0	0	21	1	1,500,000$
8	Alex Vlasic				X	100.00	67	54	90	78	83	88	93	73	25	69	65	82	65	46	55	0	99	0	0	23	1	1,250,000$
Rayé
1	Adam Gaudette		X	X		100.00	66	50	88	73	74	76	92	65	61	64	67	71	65	60	67	0	99	0	0	28	2	650,000$
2	Adam Tambellini	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	59	67	0	20	0	0	30	2	650,000$
3	Joona Luoto		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	54	62	0	83	0	0	27	2	1,659,563$
4	Marco Rossi	X				100.00	64	52	90	85	68	83	95	75	71	70	74	67	66	51	57	0	99	0	0	23	4	2,750,000$
5	Adam Mascherin		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	59	63	0	82	0	0	26	2	787,500$
6	Justin Sourdif		X	X		100.00	64	50	85	70	68	75	89	64	61	65	63	69	65	51	55	0	99	0	0	22	1	975,000$
7	Alexander Pashin		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	47	55	0	20	0	0	22	1	700,000$
8	Otto Kivenmaki	X	X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	49	55	0	19	0	0	24	2	735,000$
9	Mackie Samoskevich		X	X		100.00	60	50	92	72	69	79	92	66	61	67	66	67	65	1	1	0	99	0	0	22	2	1,500,000$
10	Luke Tuch (R)		X	X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	0	1	22	2	1,250,000$
11	Lenni Hameenaho (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	1,500,000$
12	Felix Unger Sorum (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	1,250,000$
13	Carson Rehkopf (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	19	3	1,250,000$
14	Helge Grans				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	50	57	0	65	0	0	22	1	1,312,500$
15	Ty Emberson				X	100.00	86	50	93	85	74	85	79	77	25	74	66	80	65	50	57	0	99	0	0	24	3	2,100,000$
16	Tom Hedberg				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	55	44	0	20	0	0	25	2	787,500$
17	Anttoni Honka				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	51	55	0	73	0	0	24	2	1,023,750$
18	Kyle Masters				X	100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	40	55	0	65	0	0	21	2	825,000$
19	Shai Buium (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	1,500,000$
20	Ryan Ufko (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$
21	Otto Salin (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	825,000$

	MOYENNE D’ÉQUIPE					100.00	24	18	32	27	27	29	31	25	17	24	24	26	23	37	42	0	58	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	Niklas Kokko	100.00	1	1	1	1	1	1	1	1	1	1	1	40	55	0	76	0	0	20	2	975,000$
Rayé
1	Tomas Suchanek	100.00	1	1	1	1	1	1	1	1	1	1	1	40	55	0	66	0	0	21	2	750,000$

	MOYENNE D’ÉQUIPE	100.00	1	1	1	1	1	1	1	1	1	1	1	40	55	0	71	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Karl Taylor	65	65	65	65	62	67	1	CAN	53	2	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	Date du Signature du 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
Adam Gaudette	Gorillas (CBS)	LW/RW	28	1996-10-03	USA	No	194 Lbs	6 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	-	-	-	-	-	-	-	-
Adam Mascherin	Gorillas (CBS)	LW/RW	26	1998-06-06	CAN	No	205 Lbs	5 ft10	No	No	N/A	No	No	2		False	False	Pro & Farm	787,500$	787,500$	78,750$	78,750$	No	787,500$	-	-	-	-	-	-	-	-	787,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Adam Tambellini	Gorillas (CBS)	C/LW/RW	30	1994-11-01	CAN	No	194 Lbs	6 ft4	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	-	-	-	-	-	-	-	-
Aidan Dudas	Gorillas (CBS)	C	24	2000-06-15	CAN	No	185 Lbs	5 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	-	-	-	-	-	-	-	-
Alex Vlasic	Gorillas (CBS)	D	23	2001-06-05	USA	No	217 Lbs	6 ft6	No	No	N/A	No	No	1		False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Alexander Pashin	Gorillas (CBS)	LW/RW	22	2002-07-28	RUS	No	154 Lbs	5 ft8	No	No	N/A	No	No	1		False	False	Pro & Farm	700,000$	700,000$	70,000$	70,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Anttoni Honka	Gorillas (CBS)	D	24	2000-10-05	FIN	No	179 Lbs	5 ft10	No	No	N/A	No	No	2		False	False	Pro & Farm	1,023,750$	1,023,750$	102,375$	102,375$	No	1,023,750$	-	-	-	-	-	-	-	-	1,023,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Carson Latimer	Gorillas (CBS)	LW/RW	21	2003-01-10	CAN	No	185 Lbs	7 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	-	-	-	-	-	-	-	-
Carson Rehkopf	Gorillas (CBS)	C/LW/RW	19	2005-01-07	CAN	Yes	194 Lbs	6 ft2	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	-	-	-	-	-	-	-
Felix Unger Sorum	Gorillas (CBS)	LW/RW	19	2005-09-14	SWE	Yes	172 Lbs	5 ft11	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	-	-	-	-	-	-	-
Helge Grans	Gorillas (CBS)	D	22	2002-05-10	SWE	No	203 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	1,312,500$	1,312,500$	131,250$	131,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Joona Luoto	Gorillas (CBS)	LW/RW	27	1997-09-26	FIN	No	210 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	1,659,563$	1,659,563$	165,956$	165,956$	No	1,659,563$	-	-	-	-	-	-	-	-	1,659,563$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Justin Sourdif	Gorillas (CBS)	LW/RW	22	2002-03-24	CAN	No	180 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kaedan Korczak	Gorillas (CBS)	D	23	2001-01-29	CAN	No	201 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	1,312,500$	1,312,500$	131,250$	131,250$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kyle Masters	Gorillas (CBS)	D	21	2003-04-09	CAN	No	183 Lbs	6 ft8	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	-	-	-	-	-	-	-	-
Lenni Hameenaho	Gorillas (CBS)	LW/RW	20	2004-11-07	FIN	Yes	185 Lbs	6 ft1	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	-	-	-	-	-	-	-
Luke Tuch	Gorillas (CBS)	LW/RW	22	2002-03-07	USA	Yes	203 Lbs	6 ft2	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	-	-	-	-	-	-	-	-
Mackie Samoskevich	Gorillas (CBS)	LW/RW	22	2002-11-15	USA	No	183 Lbs	5 ft11	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	-	-	-	-	-	-	-	-
Marco Rossi	Gorillas (CBS)	C	23	2001-09-23	AUT	No	182 Lbs	5 ft9	No	No	N/A	No	No	4		False	False	Pro & Farm	2,750,000$	2,750,000$	275,000$	275,000$	No	2,750,000$	2,750,000$	2,750,000$	-	-	-	-	-	-	2,750,000$	2,750,000$	2,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Nick Ritchie	Gorillas (CBS)	LW/RW	29	1995-12-05	CAN	No	236 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	3,250,000$	3,250,000$	325,000$	325,000$	No	3,250,000$	-	-	-	-	-	-	-	-	3,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Niklas Kokko	Gorillas (CBS)	G	20	2004-03-14	FIN	No	192 Lbs	7 ft2	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	-	-	-	-	-	-	-	-
Oskar Lindblom	Gorillas (CBS)	LW/RW	28	1996-08-15	SWE	No	191 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	1,850,000$	1,850,000$	185,000$	185,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Otto Kivenmaki	Gorillas (CBS)	C/LW/RW	24	2000-03-24	FIN	No	172 Lbs	5 ft9	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	-	-	-	-	-	-	-	-
Otto Salin	Gorillas (CBS)	D	20	2004-03-07	FIN	Yes	192 Lbs	5 ft11	No	No	Prospect	No	No	3	2024-08-30	False	False	Pro & Farm	825,000$	825,000$	82,500$	82,500$	No	825,000$	825,000$	-	-	-	-	-	-	-	825,000$	825,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Ryan Ufko	Gorillas (CBS)	D	21	2003-05-07	USA	Yes	181 Lbs	5 ft10	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 Pastujov	Gorillas (CBS)	LW/RW	21	2003-07-15	USA	No	187 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Shai Buium	Gorillas (CBS)	D	21	2003-03-26	USA	Yes	220 Lbs	6 ft3	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	-	-	-	-	-	-	-
Simon Edvinsson	Gorillas (CBS)	D	21	2003-02-05	SWE	No	209 Lbs	6 ft6	No	No	N/A	No	No	1		False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tom Hedberg	Gorillas (CBS)	D	25	1999-08-10	SWE	No	179 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	787,500$	787,500$	78,750$	78,750$	No	787,500$	-	-	-	-	-	-	-	-	787,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Tomas Suchanek	Gorillas (CBS)	G	21	2003-04-30	CZE	No	181 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	750,000$	750,000$	65,000$	65,000$	No	750,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Ty Emberson	Gorillas (CBS)	D	24	2000-05-23	USA	No	193 Lbs	6 ft2	No	No	N/A	No	No	3		False	False	Pro & Farm	2,100,000$	2,100,000$	210,000$	210,000$	No	2,100,000$	2,100,000$	-	-	-	-	-	-	-	2,100,000$	2,100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
31	23.00	192 Lbs	6 ft2	2.03	1,240,913$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nick Ritchie		Oskar Lindblom	28	1	2	2
2			Sasha Pastujov	28	1	2	2
3		Aidan Dudas		25	1	2	2
4	Carson Latimer	Aidan Dudas		19	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Alex Vlasic		35	1	2	2
2			33	1	2	2
3			32	1	2	2
4	Alex Vlasic		0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Sasha Pastujov	Oskar Lindblom	50	1	2	2
2			Aidan Dudas	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Alex Vlasic	50	1	2	2
2			50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Oskar Lindblom	50	1	2	2
2	Aidan Dudas		50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1			50	1	2	2
2	Alex Vlasic		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			50	1	2	2
2	Oskar Lindblom	50	1	2	2	Alex Vlasic		50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Oskar Lindblom	50	1	2	2
2	Aidan Dudas		50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1			50	1	2	2
2	Alex Vlasic		50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
		Oskar Lindblom	Alex Vlasic

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
		Oskar Lindblom	Alex Vlasic

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Aidan Dudas, , Oskar Lindblom	Aidan Dudas, Oskar Lindblom	Oskar Lindblom

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
, , Alex Vlasic	Alex Vlasic	, Alex Vlasic

Tirs de pénalité
, Oskar Lindblom, Aidan Dudas, ,

Gardien
#1 : , #2 : Niklas Kokko

Lignes d’attaque personnalisées en prolongation
Nick Ritchie, Oskar Lindblom, , , , Aidan Dudas, Aidan Dudas, Sasha Pastujov, , Carson Latimer,

Lignes de défense personnalisées en prolongation
, , Alex Vlasic, ,

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	19	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$	3,846,831$	3,836,831$	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$	31	0

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

Gorillas 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

Gorillas 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

Gorillas 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

Gorillas 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

Gorillas 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

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