German Fantasy Hockey League - Columbus Blue Jackets

Green Bay Lumberjacks
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Statistiques d'Équipe
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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
1	Blake Comeau	0		X	X		100.00	83	45	82	80	74	73	95	62	51	72	70	91	75	78	79	0	82	73	0
2	Paul Stastny	0	X				100.00	65	42	92	76	74	78	91	82	96	82	72	68	25	81	84	0	74	73	0
3	Cam Atkinson	0			X		100.00	65	41	92	85	60	79	91	80	38	77	86	71	68	70	71	0	82	73	0
4	James Neal	0			X		100.00	67	43	89	83	76	76	88	78	25	72	85	59	63	77	80	0	80	72	1
5	Troy Brouwer	0			X		100.00	81	68	80	73	80	67	92	66	52	66	58	84	57	79	84	0	82	69	0
6	Jamie McGinn	0		X	X		100.00	81	68	87	78	78	66	91	70	33	66	70	64	25	75	77	0	80	68	0
7	Derek Ryan	0	X		X		100.00	69	42	89	77	63	72	95	77	94	74	71	58	25	60	60	0	80	68	0
8	Jason Chimera	0		X	X		100.00	83	55	85	83	79	57	95	58	37	62	56	74	41	89	93	0	81	67	0
9	Kris Versteeg	0		X	X		100.00	61	41	91	79	64	65	64	83	69	66	64	61	75	76	81	0	80	67	0
10	Jujhar Khaira	0	X	X			100.00	84	91	80	75	81	63	70	62	63	62	70	75	25	56	56	0	81	65	0
11	Michael Raffl	0		X	X		100.00	77	58	88	76	72	65	81	61	58	61	70	71	53	67	68	0	36	65	0
12	John Quenneville	0	X	X	X		100.00	74	72	78	73	72	72	74	65	80	62	63	65	60	45	45	0	80	63	0
13	Duncan Keith	0				X	100.00	65	42	89	89	71	90	98	78	25	68	47	78	25	86	93	0	82	75	1
14	Ian Cole	0				X	100.00	79	65	69	74	79	74	91	60	25	57	49	86	25	69	71	0	82	71	0
15	Greg Pateryn	0				X	100.00	86	60	80	71	81	79	72	60	25	53	47	94	25	61	62	0	83	71	0
16	Noah Juulsen (R)	0				X	100.00	90	46	94	76	70	78	69	62	25	49	48	85	25	46	46	0	72	68	0
17	Ben Hutton	0				X	100.00	69	52	88	83	69	76	83	67	25	50	47	76	25	63	63	0	80	68	0
18	Ryan Johnston	0				X	100.00	69	42	76	72	75	73	72	71	25	54	50	75	58	65	68	0	81	67	0
Rayé
1	Wayne Simmonds	0			X		100.00	82	67	78	84	70	78	96	87	54	74	83	73	61	79	81	0	78	75	0
2	Chris Stewart	0		X	X		100.00	73	78	85	73	85	57	84	58	34	60	71	58	82	76	78	0	20	64	0
3	Bracken Kearns	0	X				100.00	75	71	85	68	71	82	88	62	78	61	58	64	55	44	44	0	65	62	0
4	Joseph Gambardella (R)	0	X				100.00	58	27	73	74	65	69	67	68	63	65	54	63	60	65	67	0	70	62	0
5	David Schlemko	0				X	100.00	73	43	94	72	69	75	68	65	25	50	48	77	75	69	70	0	62	66	0
6	Travis Sanheim	0				X	100.00	67	42	87	77	70	68	87	64	25	53	48	61	25	48	48	0	59	62	0

	MOYENNE D'ÉQUIPE					100.00	74	54	85	77	73	72	83	69	47	63	62	72	47	68	70	0	73	68

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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
1	Antti Raanta	100.00	93	68	67	71	97	88	78	86	95	92	30	59	60	0	85	80	0
2	Michal Neuvirth	100.00	78	55	56	77	84	71	67	74	84	78	45	64	65	0	78	71	0
Rayé
1	Ryan Faragher	100.00	66	48	60	78	70	65	72	75	71	71	30	44	44	0	55	65	0

	MOYENNE D'ÉQUIPE	100.00	79	57	61	75	84	75	72	78	83	80	35	56	56	0	73	72

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Yeo	87	91	66	90	63	59	76	CAN	45	3	750,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	James Neal	Columbus Blue Jackets	RW	10	4	5	9	0	0	8	7	32	12	32	12.50%	1	149	14.91	1	1	2	2	10	0	9	1	0	33.33%	12	11	2	1.21	1	0	1
2	Cam Atkinson	Columbus Blue Jackets	RW	10	2	6	8	2	2	10	12	41	8	29	4.88%	3	186	18.63	1	2	3	2	23	1	18	0	0	33.33%	24	12	4	0.86	0	0	1
3	Jamie McGinn	Columbus Blue Jackets	LW/RW	10	2	4	6	3	0	7	9	18	7	15	11.11%	2	169	16.94	0	2	2	1	17	0	13	0	0	33.33%	12	1	0	0.71	0	1	0
4	Derek Ryan	Columbus Blue Jackets	C/RW	10	3	3	6	0	2	9	14	29	10	19	10.34%	1	177	17.77	2	1	3	3	18	0	6	1	0	61.44%	153	5	1	0.68	0	1	0
5	Blake Comeau	Columbus Blue Jackets	LW/RW	10	3	2	5	0	2	22	16	24	9	10	12.50%	4	211	21.17	1	1	2	3	25	4	29	1	0	42.11%	19	5	10	0.47	1	1	0
6	Jason Chimera	Columbus Blue Jackets	LW/RW	10	4	1	5	-3	2	14	19	9	2	11	44.44%	3	134	13.40	0	0	0	0	2	0	0	0	0	25.00%	4	2	3	0.75	0	1	0
7	Jujhar Khaira	Columbus Blue Jackets	C/LW	10	1	3	4	0	6	9	12	15	7	5	6.67%	4	144	14.42	0	1	1	0	6	0	0	0	1	45.64%	149	4	1	0.55	0	0	0
8	Paul Stastny	Columbus Blue Jackets	C	10	0	3	3	-1	0	8	20	26	7	11	0.00%	4	147	14.71	0	2	2	4	17	1	17	0	0	57.41%	108	8	0	0.41	0	0	0
9	John Quenneville	Columbus Blue Jackets	C/LW/RW	10	0	2	2	-2	6	12	11	9	1	5	0.00%	2	107	10.74	0	0	0	0	1	0	1	0	0	48.15%	81	4	5	0.37	0	0	0
10	Duncan Keith	Columbus Blue Jackets	D	10	1	1	2	5	2	8	9	22	5	7	4.55%	14	241	24.11	1	1	2	7	28	1	22	1	0	0.00%	0	7	11	0.17	1	0	0
11	Greg Pateryn	Columbus Blue Jackets	D	10	1	1	2	4	10	14	14	8	1	7	12.50%	14	232	23.29	1	0	1	1	12	0	30	0	0	0.00%	0	0	10	0.17	0	0	1
12	Noah Juulsen	Columbus Blue Jackets	D	10	0	1	1	-1	2	8	10	8	1	1	0.00%	10	177	17.75	0	0	0	1	11	2	21	0	0	0.00%	0	0	3	0.11	0	0	0
13	Ben Hutton	Columbus Blue Jackets	D	10	0	1	1	-6	0	4	14	5	3	3	0.00%	4	153	15.37	0	0	0	0	6	0	3	0	0	0.00%	0	0	5	0.13	0	0	0
14	Troy Brouwer	Columbus Blue Jackets	RW	10	0	1	1	-3	4	9	5	12	5	6	0.00%	3	128	12.87	0	0	0	2	6	0	3	0	0	40.00%	10	3	4	0.16	0	0	0
15	Wayne Simmonds	Columbus Blue Jackets	RW	3	0	1	1	-2	0	6	6	14	5	5	0.00%	0	53	17.89	0	1	1	0	3	0	12	0	0	28.57%	21	1	0	0.37	0	0	0
16	Michael Raffl	Columbus Blue Jackets	LW/RW	7	1	0	1	2	0	4	6	5	1	3	20.00%	1	46	6.60	0	0	0	0	0	0	0	1	0	0.00%	2	0	1	0.43	0	0	1
17	Ryan Johnston	Columbus Blue Jackets	D	10	0	0	0	-6	12	8	14	10	1	5	0.00%	6	176	17.61	0	0	0	0	2	0	20	0	0	0.00%	0	1	8	0.00	0	0	0
18	Kris Versteeg	Columbus Blue Jackets	LW/RW	10	0	0	0	-2	0	2	3	14	4	8	0.00%	1	82	8.21	0	0	0	0	0	0	9	0	0	66.67%	9	6	1	0.00	0	0	0
19	Ian Cole	Columbus Blue Jackets	D	10	0	0	0	0	24	17	10	13	4	5	0.00%	13	219	21.93	0	0	0	3	28	0	22	0	0	0.00%	0	3	3	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				180	22	35	57	-10	74	179	211	314	93	187	7.01%	90	2937	16.32	7	12	19	29	220	9	241	5	1	50.33%	604	73	72	0.39	3	4	4

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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	PCT	GAA	MP	GA	SA	SAR	EG	ST	BG	S1	S2	S3
1	Antti Raanta	Columbus Blue Jackets	8	4	4	0.922	2.39	478	19	244	95	1	8	2	2	1	1
2	Michal Neuvirth	Columbus Blue Jackets	2	1	1	0.914	2.50	120	5	58	38	0	2	8	0	0	0
Stats d'équipe Total ou en Moyenne			10	5	5	0.921	2.41	598	24	302	133	1	10	10	2	1	1

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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	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Antti Raanta	Columbus Blue Jackets	G	30	11.05.1989	No	195 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	3,300,000$	3,300,000$	0$	No	Lien
Ben Hutton	Columbus Blue Jackets	D	26	20.04.1993	No	207 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	3,700,000$	3,700,000$	0$	No	Lien
Blake Comeau	Columbus Blue Jackets	LW/RW	33	17.02.1986	No	202 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	0$	No	Lien
Bracken Kearns	Columbus Blue Jackets	C	38	12.05.1981	No	200 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Cam Atkinson	Columbus Blue Jackets	RW	30	04.06.1989	No	182 Lbs	5 ft8	No	No	No	1	Avec Restriction	Pro & Farm	5,875,000$	5,875,000$	0$	No	Lien
Chris Stewart	Columbus Blue Jackets	LW/RW	31	30.10.1987	No	239 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro Only	450,000$	450,000$	0$	No	Lien
David Schlemko	Columbus Blue Jackets	D	32	07.05.1987	No	190 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	4,800,000$	4,800,000$	0$	No	Lien
Derek Ryan	Columbus Blue Jackets	C/RW	32	29.12.1986	No	170 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	2,700,000$	2,700,000$	0$	No	Lien
Duncan Keith	Columbus Blue Jackets	D	35	16.07.1983	No	192 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro Only	6,750,000$	6,750,000$	0$	No	Lien
Greg Pateryn	Columbus Blue Jackets	D	28	19.06.1990	No	221 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	3,200,000$	3,200,000$	0$	No	Lien
Ian Cole	Columbus Blue Jackets	D	30	21.02.1989	No	219 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	4,400,000$	4,400,000$	0$	No	Lien
James Neal	Columbus Blue Jackets	RW	31	02.09.1987	No	221 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro Only	4,200,000$	4,200,000$	0$	No	Lien
Jamie McGinn	Columbus Blue Jackets	LW/RW	30	05.08.1988	No	205 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	3,333,333$	3,333,333$	0$	No	Lien
Jason Chimera	Columbus Blue Jackets	LW/RW	40	02.05.1979	No	216 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	1,600,000$	1,600,000$	0$	No	Lien
John Quenneville	Columbus Blue Jackets	C/LW/RW	23	16.04.1996	No	195 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No	Lien
Joseph Gambardella	Columbus Blue Jackets	C	25	01.12.1993	Yes	201 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Jujhar Khaira	Columbus Blue Jackets	C/LW	24	12.08.1994	No	219 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	1,800,000$	1,800,000$	0$	No	Lien
Kris Versteeg	Columbus Blue Jackets	LW/RW	33	13.05.1986	No	176 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	2,200,000$	2,200,000$	0$	No	Lien
Michael Raffl	Columbus Blue Jackets	LW/RW	30	30.11.1988	No	200 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	2,200,000$	2,200,000$	0$	No	Lien
Michal Neuvirth	Columbus Blue Jackets	G	31	22.03.1988	No	209 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	0$	No	Lien
Noah Juulsen	Columbus Blue Jackets	D	22	02.04.1997	Yes	175 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No	Lien
Paul Stastny	Columbus Blue Jackets	C	33	27.12.1985	No	202 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro Only	4,800,000$	4,800,000$	0$	No	Lien
Ryan Faragher	Columbus Blue Jackets	G	28	03.07.1990	No	202 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Ryan Johnston	Columbus Blue Jackets	D	27	14.02.1992	No	176 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Travis Sanheim	Columbus Blue Jackets	D	23	28.03.1996	No	181 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No	Lien
Troy Brouwer	Columbus Blue Jackets	RW	33	17.08.1985	No	215 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Wayne Simmonds	Columbus Blue Jackets	RW	30	25.08.1988	No	185 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	3,975,000$	3,975,000$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
27	29.93	200 Lbs	6 ft1	1.48	2,686,420$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
72,533,333$	24,950,000$	8,650,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Blake Comeau	Paul Stastny	Cam Atkinson	35	1	2	2
2	Jamie McGinn	Derek Ryan	James Neal	30	1	2	2
3	Jason Chimera	Jujhar Khaira	Troy Brouwer	25	1	2	2
4	Kris Versteeg	John Quenneville	Derek Ryan	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Duncan Keith	Ian Cole	35	1	2	2
2	Greg Pateryn	Noah Juulsen	30	1	2	2
3	Ben Hutton	Ryan Johnston	25	1	2	2
4	Duncan Keith	Ian Cole	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Blake Comeau	Paul Stastny	Cam Atkinson	60	1	2	2
2	Jamie McGinn	Derek Ryan	James Neal	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Duncan Keith	Ian Cole	60	1	2	2
2	Greg Pateryn	Noah Juulsen	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Paul Stastny	Blake Comeau	60	1	2	2
2	Derek Ryan	Jamie McGinn	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Duncan Keith	Ian Cole	60	1	2	2
2	Greg Pateryn	Noah Juulsen	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Paul Stastny	60	1	2	2	Duncan Keith	Ian Cole	60	1	2	2
2	Derek Ryan	40	1	2	2	Greg Pateryn	Noah Juulsen	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Paul Stastny	Blake Comeau	60	1	2	2
2	Derek Ryan	Jamie McGinn	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Duncan Keith	Ian Cole	60	1	2	2
2	Greg Pateryn	Noah Juulsen	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Blake Comeau	Paul Stastny	Cam Atkinson	Duncan Keith	Ian Cole

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Blake Comeau	Paul Stastny	Cam Atkinson	Duncan Keith	Ian Cole

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Troy Brouwer, Jamie McGinn, Derek Ryan	Troy Brouwer, Jamie McGinn	Troy Brouwer

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Noah Juulsen, Ben Hutton, Ryan Johnston	Noah Juulsen	Noah Juulsen, Ben Hutton

Tirs de Pénalité
Blake Comeau, Cam Atkinson, Paul Stastny, James Neal, Troy Brouwer

Gardien
#1 : Antti Raanta, #2 : Michal Neuvirth

Lignes d'Attaque Perso. en Prol.
Cam Atkinson, Paul Stastny, Blake Comeau, James Neal, Troy Brouwer, Jason Chimera, Jason Chimera, Kris Versteeg, Derek Ryan, Jamie McGinn, Jujhar Khaira

Lignes de Défense Perso. en Prol.
Ian Cole, Duncan Keith, Greg Pateryn, Ben Hutton, Ryan Johnston

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 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
1	Florida Panthers	5	4	1	0	0	0	0	0	15	13	2	3	2	1	0	0	0	0	0	8	8	0	2	2	0	0	0	0	0	0	7	5	2	8	0.800	15	23	38	1	0	4	10	1	0	174	52	74	48	0	146	45	38	93	17	5	29.41%	19	4	78.95%	0	112	223	50.22%	122	246	49.59%	70	135	51.85%	107	61	108	46	84	41
2	New York Islanders	5	1	4	0	0	0	0	0	7	12	-5	3	1	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	3	5	-2	2	0.200	7	12	19	0	0	3	3	1	0	140	45	61	34	0	157	45	36	86	10	2	20.00%	18	4	77.78%	0	112	223	50.22%	122	246	49.59%	70	135	51.85%	93	51	118	47	87	40
	Total	10	5	5	0	0	0	0	0	22	25	-3	6	3	3	0	0	0	0	0	12	15	-3	4	2	2	0	0	0	0	0	10	10	0	10	0.500	22	35	57	1	0	7	13	2	0	314	97	135	82	0	303	90	74	179	27	7	25.93%	37	8	78.38%	0	112	223	50.22%	122	246	49.59%	70	135	51.85%	200	112	226	93	172	82
	_Since Last GM Reset	10	5	5	0	0	0	0	0	22	25	-3	6	3	3	0	0	0	0	0	12	15	-3	4	2	2	0	0	0	0	0	10	10	0	10	0.500	22	35	57	1	0	7	13	2	0	314	97	135	82	0	303	90	74	179	27	7	25.93%	37	8	78.38%	0	112	223	50.22%	122	246	49.59%	70	135	51.85%	200	112	226	93	172	82
	_Vs Conference	10	5	5	0	0	0	0	0	22	25	-3	6	3	3	0	0	0	0	0	12	15	-3	4	2	2	0	0	0	0	0	10	10	0	10	0.500	22	35	57	1	0	7	13	2	0	314	97	135	82	0	303	90	74	179	27	7	25.93%	37	8	78.38%	0	112	223	50.22%	122	246	49.59%	70	135	51.85%	200	112	226	93	172	82
	_Vs Division	5	1	4	0	0	0	0	0	7	12	-5	3	1	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	3	5	-2	2	0.200	7	12	19	0	0	3	3	1	0	140	45	61	34	0	157	45	36	86	10	2	20.00%	18	4	77.78%	0	112	223	50.22%	122	246	49.59%	70	135	51.85%	93	51	118	47	87	40

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
10	10	L4	22	35	57	314	303	90	74	179	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	5	0	0	0	0	22	25

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	3	0	0	0	0	12	15

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	10	10

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	5	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
27	7	25.93%	37	8	78.38%	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
97	135	82	0	7	13	2	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
112	223	50.22%	122	246	49.59%	70	135	51.85%

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
200	112	226	93	172	82

Derniers Match 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	Lien
2 - 2018-10-03	7	Florida Panthers	5	Columbus Blue Jackets	3	L	Sommaire du Match
4 - 2018-10-05	15	Florida Panthers	2	Columbus Blue Jackets	3	W	Sommaire du Match
6 - 2018-10-07	23	Columbus Blue Jackets	3	Florida Panthers	2	W	Sommaire du Match
8 - 2018-10-09	31	Columbus Blue Jackets	4	Florida Panthers	3	W	Sommaire du Match
10 - 2018-10-11	39	Florida Panthers	1	Columbus Blue Jackets	2	W	Sommaire du Match
16 - 2018-10-17	60	New York Islanders	1	Columbus Blue Jackets	2	W	Sommaire du Match
18 - 2018-10-19	64	New York Islanders	4	Columbus Blue Jackets	1	L	Sommaire du Match
20 - 2018-10-21	68	Columbus Blue Jackets	1	New York Islanders	2	L	Sommaire du Match
22 - 2018-10-23	72	Columbus Blue Jackets	2	New York Islanders	3	L	Sommaire du Match
24 - 2018-10-25	76	New York Islanders	2	Columbus Blue Jackets	1	L	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6700	5000	2000	4000	1000
Prix des Billets	140	80	50	35	250
Assistance	38,170	29,641	11,747	22,130	5,745
Attendance PCT	94.95%	98.80%	97.89%	92.21%	95.75%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
35	17906 - 95.75%	2,102,646$	12,615,876$	18700	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	72,533,333$	62,638,333$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	27	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	72,105,719$	72,105,719$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Blake Comeau	AGE:33	PO:0	OV:73
Jamie McGinn	AGE:30	PO:0	OV:68
Jason Chimera	AGE:40	PO:0	OV:67
Kris Versteeg	AGE:33	PO:0	OV:67
Jujhar Khaira	AGE:24	PO:0	OV:65
Michael Raffl	AGE:30	PO:0	OV:65
Chris Stewart	AGE:31	PO:0	OV:64
Gabriel Bourque	AGE:28	PO:0	OV:64
John Quenneville	AGE:23	PO:0	OV:63
Kyle Clifford	AGE:28	PO:0	OV:63
Anton Blidh	AGE:24	PO:0	OV:59
Markus Hannikainen	AGE:26	PO:0	OV:59
*Samuel Laberge	AGE:22	PO:0	OV:58
Ben Thomson	AGE:26	PO:0	OV:56
*Justin Kirkland	AGE:22	PO:0	OV:55
*Dylan Sadowy	AGE:23	PO:0	OV:50
Kale Kessy	AGE:26	PO:0	OV:50
*Shane Eiserman	AGE:23	PO:0	OV:48

Paul Stastny	AGE:33	PO:0	OV:73
Derek Ryan	AGE:32	PO:0	OV:68
Jujhar Khaira	AGE:24	PO:0	OV:65
John Quenneville	AGE:23	PO:0	OV:63
Bracken Kearns	AGE:38	PO:0	OV:62
*Joseph Gambardella	AGE:25	PO:0	OV:62
Cody Bass	AGE:32	PO:0	OV:55
*Dylan Sadowy	AGE:23	PO:0	OV:50
Kale Kessy	AGE:26	PO:0	OV:50
Alexander Khokhlachev	AGE:25	PO:0	OV:49
*Shane Eiserman	AGE:23	PO:0	OV:48

Wayne Simmonds	AGE:30	PO:0	OV:75
Blake Comeau	AGE:33	PO:0	OV:73
Cam Atkinson	AGE:30	PO:0	OV:73
James Neal	AGE:31	PO:0	OV:72
Troy Brouwer	AGE:33	PO:0	OV:69
Jamie McGinn	AGE:30	PO:0	OV:68
Derek Ryan	AGE:32	PO:0	OV:68
Jason Chimera	AGE:40	PO:0	OV:67
Kris Versteeg	AGE:33	PO:0	OV:67
Michael Raffl	AGE:30	PO:0	OV:65
Chris Stewart	AGE:31	PO:0	OV:64
Gabriel Bourque	AGE:28	PO:0	OV:64
John Quenneville	AGE:23	PO:0	OV:63
Anton Blidh	AGE:24	PO:0	OV:59
Markus Hannikainen	AGE:26	PO:0	OV:59
Jared Boll	AGE:33	PO:0	OV:56
Kurtis Gabriel	AGE:26	PO:0	OV:54
*Dylan Sadowy	AGE:23	PO:0	OV:50
*Shane Eiserman	AGE:23	PO:0	OV:48
Cody Beach	AGE:26	PO:0	OV:48

Défense #1

Défense #2

Gardien

Duncan Keith	AGE:35	PO:0	OV:75
Ian Cole	AGE:30	PO:0	OV:71
Greg Pateryn	AGE:28	PO:0	OV:71
*Noah Juulsen	AGE:22	PO:0	OV:68
Ben Hutton	AGE:26	PO:0	OV:68
Ryan Johnston	AGE:27	PO:0	OV:67
David Schlemko	AGE:32	PO:0	OV:66
Markus Nutivaara	AGE:25	PO:0	OV:64
Ryan Murphy	AGE:26	PO:0	OV:64
Travis Sanheim	AGE:23	PO:0	OV:62
Paul Ladue	AGE:26	PO:0	OV:60
Cody Goloubef	AGE:29	PO:0	OV:59

Luke Witkowski	AGE:29	PO:0	OV:59
*Christian Jaros	AGE:23	PO:0	OV:57
John Ramage	AGE:28	PO:0	OV:57
*Colby Williams	AGE:24	PO:0	OV:55
Dysin Mayo	AGE:22	PO:0	OV:54
Daniel Maggio	AGE:28	PO:0	OV:51
Andrej Meszaros	AGE:33	PO:0	OV:48
*Chris Carlisle	AGE:24	PO:0	OV:48
*Ryan Culkin	AGE:25	PO:0	OV:48
Mark Fraser	AGE:32	PO:0	OV:48
Charlie Dodero	AGE:26	PO:0	OV:48

Antti Raanta	AGE:30	PO:0	OV:80
Michal Neuvirth	AGE:31	PO:0	OV:71
Ryan Faragher	AGE:28	PO:0	OV:65
*Adam Carlson	AGE:25	PO:0	OV:53
Henri Kiviaho	AGE:25	PO:0	OV:49
Mac Carruth	AGE:27	PO:0	OV:49
Adam Morrison	AGE:28	PO:0	OV:49

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information
Alex Limoges	Columbus Blue Jackets	2019		450
Brendan De Jong	Columbus Blue Jackets	2017	199
Bryce Misley	Columbus Blue Jackets	2017	137
Dave Bolland	Columbus Blue Jackets	2017		injured
Dawson Barteaux	Columbus Blue Jackets	2018	200
Dmitri Samorukov	Columbus Blue Jackets	2017	106
Edgars Kulda	Columbus Blue Jackets	2014	211
Eemeli Rasanen	Columbus Blue Jackets	2017	54
Filip Larsson	Columbus Blue Jackets	2016	175
Glen Gawdin	Columbus Blue Jackets	2015	130
Ivan Prosvetov	Columbus Blue Jackets	2018	138
Jeremy Helvig	Columbus Blue Jackets	2016	145
Jesper Eliasson	Columbus Blue Jackets	2018	107
Josh Anderson	Columbus Blue Jackets	2016	85
Josh Brook	Columbus Blue Jackets	2017	75
Keeghan Howdeshell	Columbus Blue Jackets	2019		450
Kevin Bahl	Columbus Blue Jackets	2018	76
Kevin Stenlund	Columbus Blue Jackets	2015	70
Kyle Maksimovich	Columbus Blue Jackets	2019		450
Logan Stanley	Columbus Blue Jackets	2016	25
Oskar Back	Columbus Blue Jackets	2018	100
Parker Foo	Columbus Blue Jackets	2017	168
Quinn Hughes	Columbus Blue Jackets	2018	14
Samuel Houde	Columbus Blue Jackets	2018	169
Taro Hirose	Columbus Blue Jackets	2019		450

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2019		CBS	CBS	CBS	CBS		CBS
2020	CBS	CBS	CBS	CBS	CBS	CBS
2021	CBS	CBS	CBS	CBS	CBS	CBS	CBS
2022	CBS	CBS	CBS	CBS	CBS	CBS	CBS
2023	CBS	CBS	CBS	CBS	CBS	CBS	CBS

[06.05.2019 21:39:55] - Columbus Blue Jackets was eliminated at round 2 of year 2018.
[08.04.2019 23:05:15] - Green Bay Lumberjacks didn't make playoff for year 2018.
[02.03.2019 09:42:13] - Zach Pochiro was released.
[02.03.2019 09:42:13] - Columbus Blue Jackets paid 0 € to release Zach Pochiro.
[02.03.2019 09:41:51] - Erik Condra was released.
[02.03.2019 09:41:51] - Columbus Blue Jackets paid 0 € to release Erik Condra.
[02.03.2019 09:41:35] - Erik Condra signed with Columbus Blue Jackets for 450.000 € for 2 year(s).
[02.03.2019 09:41:35] - Erik Condra was added to Columbus Blue Jackets.
[02.03.2019 09:40:38] - Zach Redmond was released.
[02.03.2019 09:40:38] - Columbus Blue Jackets paid 0 € to release Zach Redmond.
[02.03.2019 09:40:21] - Zach Redmond signed with Columbus Blue Jackets for 450.000 € for 1 year(s).
[02.03.2019 09:40:21] - Zach Redmond was added to Columbus Blue Jackets.
[19.01.2019 09:12:50] - Taro Hirose has been added to Columbus Blue Jackets.
[19.01.2019 09:12:39] - Kyle Maksimovich has been added to Columbus Blue Jackets.
[19.01.2019 09:12:27] - Keeghan Howdeshell has been added to Columbus Blue Jackets.
[19.01.2019 09:12:10] - Alex Limoges has been added to Columbus Blue Jackets.
[19.01.2019 09:11:57] - Adam Carlson signed with Columbus Blue Jackets for 450.000 € for 1 year(s).
[19.01.2019 09:11:57] - Adam Carlson was added to Columbus Blue Jackets.
[04.01.2019 21:11:53] - TRADE : From Columbus Blue Jackets to Dallas Stars : Y:2019-RND:1-CBS.
[04.01.2019 21:11:53] - TRADE : From Dallas Stars to Columbus Blue Jackets : Duncan Keith (75).
[12.12.2018 21:18:40] - TRADE : From Arizona Coyotes to Columbus Blue Jackets : Jamie McGinn (68).
[12.12.2018 21:18:40] - TRADE : From Columbus Blue Jackets to Arizona Coyotes : Nick Cousins (65).
[16.10.2018 21:36:00] - Bracken Kearns signed with Columbus Blue Jackets for 450.000 € for 1 year(s).
[16.10.2018 21:36:00] - Bracken Kearns was added to Columbus Blue Jackets.
[04.10.2018 20:27:50] - TRADE : From Columbus Blue Jackets to Boston Bruins : 100.000 € (Money).
[04.10.2018 20:27:50] - TRADE : From Boston Bruins to Columbus Blue Jackets : Jason Chimera (67).
[02.10.2018 18:37:48] - TRADE : From New Jersey Devils to Columbus Blue Jackets : Ryan Johnston (67).
[02.10.2018 18:37:48] - TRADE : From Columbus Blue Jackets to New Jersey Devils : Y:2020-RND:7-CBS.
[02.10.2018 18:37:32] - TRADE : From Arizona Coyotes to Columbus Blue Jackets : David Schlemko (66).
[02.10.2018 18:37:32] - TRADE : From Columbus Blue Jackets to Arizona Coyotes : Y:2019-RND:6-CBS.
[25.09.2018 08:57:55] - Troy Brouwer signed with Columbus Blue Jackets for 450.000 € for 3 year(s).
[25.09.2018 08:57:55] - Troy Brouwer was added to Columbus Blue Jackets.
[25.09.2018 08:57:03] - Samuel Laberge signed with Columbus Blue Jackets for 450.000 € for 3 year(s).
[25.09.2018 08:57:03] - Samuel Laberge was added to Columbus Blue Jackets.
[25.09.2018 08:56:38] - Chris Stewart signed with Columbus Blue Jackets for 450.000 € for 2 year(s).
[25.09.2018 08:56:38] - Chris Stewart was added to Columbus Blue Jackets.
[25.09.2018 08:55:58] - Dysin Mayo signed with Columbus Blue Jackets for 450.000 € for 3 year(s).
[25.09.2018 08:55:58] - Dysin Mayo was added to Columbus Blue Jackets.
[25.09.2018 08:54:36] - Green Bay Lumberjacks hired Jay Woodcroft for 250.000 € for 3 year(s).
[25.09.2018 08:54:00] - Columbus Blue Jackets hired Mike Yeo for 750.000 € for 3 year(s).
[24.09.2018 08:12:35] - Duncan Siemens was released.
[24.09.2018 08:12:35] - Columbus Blue Jackets paid 0 € to release Duncan Siemens.
[24.09.2018 08:10:14] - General Manager Change : Columbus Blue Jackets fired general manager Frank

[07.05.2019 22:22:53] Wayne Simmonds from Columbus Blue Jackets is back from Strained Back Injury.
[03.05.2019 23:16:14] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[02.05.2019 22:28:00] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[30.04.2019 22:38:46] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[30.04.2019 22:38:46] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[30.04.2019 22:38:46] Columbus Blue Jackets roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[29.04.2019 22:08:58] Noah Juulsen from Columbus Blue Jackets is back from Bruised Left Arm Injury.
[28.04.2019 23:02:05] Game 60 - Noah Juulsen from Columbus Blue Jackets is injured (Bruised Left Arm) and is out for 1 week.
[27.04.2019 23:20:10] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.6.6
[26.04.2019 22:51:10] Henri Kiviaho from Green Bay Lumberjacks is back from Right Knee Injury.
[23.04.2019 23:09:50] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database.
[17.04.2019 21:43:51] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[17.04.2019 21:43:51] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[17.04.2019 21:43:51] Columbus Blue Jackets roster errors : Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[16.04.2019 22:58:28] Antti Raanta from Columbus Blue Jackets is back from Exhaustion.
[15.04.2019 22:56:12] Antti Raanta from Columbus Blue Jackets injured (Exhaustion)
[15.04.2019 22:56:12] Game 23 - Wayne Simmonds from Columbus Blue Jackets is injured (Strained Back) and is out for 3 weeks.
[14.04.2019 00:23:59] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.6.6
[11.04.2019 22:32:28] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[11.04.2019 22:32:28] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[11.04.2019 22:32:28] Columbus Blue Jackets roster errors : Not enough Defenseman available in Pro Team! 4 Dressed. 6 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[10.04.2019 22:36:07] Paul Stastny from Columbus Blue Jackets is back from Sprained Right Finger Injury.
[08.04.2019 23:04:26] Greg Pateryn from Columbus Blue Jackets is back from Exhaustion.
[08.04.2019 23:04:26] Duncan Keith from Columbus Blue Jackets is back from Exhaustion.
[07.04.2019 22:43:13] Antti Raanta from Columbus Blue Jackets is back from Exhaustion.
[07.04.2019 22:43:12] Greg Pateryn from Columbus Blue Jackets is injured from Exhaustion.
[07.04.2019 22:43:12] Duncan Keith from Columbus Blue Jackets is injured from Exhaustion.
[07.04.2019 22:42:59] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[07.04.2019 22:42:59] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[07.04.2019 22:42:59] Columbus Blue Jackets roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[06.04.2019 23:05:44] Antti Raanta from Columbus Blue Jackets injured (Exhaustion)
[06.04.2019 23:05:23] Successfully loaded Columbus Blue Jackets lines done with STHS Client - 3.1.6.6
[03.04.2019 22:30:58] Greg Pateryn from Columbus Blue Jackets is back from Exhaustion.
[02.04.2019 21:16:51] Antti Raanta from Columbus Blue Jackets is back from Exhaustion.
[02.04.2019 21:16:51] Duncan Keith from Columbus Blue Jackets is back from Exhaustion.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											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
2018	10	5	5	0	0	0	0	0	22	25	-3	6	3	3	0	0	0	0	0	12	15	-3	4	2	2	0	0	0	0	0	10	10	0	10	22	35	57	1	0	7	13	2	0	314	97	135	82	0	303	90	74	179	27	7	25.93%	37	8	78.38%	0	112	223	50.22%	122	246	49.59%	70	135	51.85%	200	112	226	93	172	82
Total Séries	10	5	5	0	0	0	0	0	22	25	-3	6	3	3	0	0	0	0	0	12	15	-3	4	2	2	0	0	0	0	0	10	10	0	10	22	35	57	1	0	7	13	2	0	314	97	135	82	0	303	90	74	179	27	7	25.93%	37	8	78.38%	0	112	223	50.22%	122	246	49.59%	70	135	51.85%	200	112	226	93	172	82