PIFFPACK - Blue Jackets

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Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
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Finance
Profondeur
Historique
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Client Web pour Formation
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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

#	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	Claude Giroux	X	X			100.00	59	42	89	97	65	94	98	94	88	93	83	67	74	79	85	66	55	92	0
2	Sean Monahan	X	X			100.00	61	42	83	89	76	90	98	88	80	75	83	66	79	66	63	86	55	84	0
3	Jordan Eberle	X		X		100.00	62	41	85	89	65	84	97	82	66	73	77	63	77	73	64	68	69	82	0
4	Andre Burakovsky		X	X		100.00	63	42	79	82	78	82	71	80	70	57	70	58	70	60	55	81	70	73	0
5	Riley Sheahan	X	X			100.00	63	41	87	74	82	82	98	70	84	61	61	85	67	64	59	70	69	73	0
6	Alexander Wennberg	X				100.00	61	41	86	82	74	89	83	75	75	76	61	73	66	61	56	82	70	72	0
7	Sven Andrighetto		X	X		100.00	63	41	87	86	63	82	68	79	60	60	62	61	67	56	53	61	70	72	0
8	Vladimir Sobotka	X	X	X		100.00	73	44	78	82	62	87	96	71	84	60	61	74	68	68	59	47	70	72	0
9	Jakub Vrana		X	X		100.00	60	41	82	79	70	81	90	77	66	56	64	60	71	53	52	85	70	71	0
10	Brandon Tanev		X	X		100.00	93	41	81	76	65	81	77	74	50	52	60	75	66	54	57	37	70	69	0
11	Brooks Orpik				X	100.00	88	45	78	70	83	84	97	68	30	50	50	87	62	89	77	35	70	78	0
12	Brett Pesce				X	100.00	66	41	91	71	78	87	89	79	30	59	55	89	65	58	59	65	70	75	0
13	Dmitry Orlov				X	100.00	75	41	91	72	73	93	97	76	30	61	60	81	70	64	61	60	70	75	0
14	Patrik Nemeth				X	100.00	67	43	86	70	83	84	83	74	30	54	54	90	67	56	58	71	70	74	0
15	Brady Skjei				X	100.00	74	43	86	80	81	86	98	82	30	61	54	74	65	56	53	78	70	73	0
16	Charlie McAvoy				X	100.00	80	44	82	84	74	90	88	79	30	69	59	72	69	52	55	84	70	73	0
17	Mike Matheson				X	100.00	63	43	84	74	82	88	94	71	30	57	60	82	72	56	57	79	66	73	0
18	Nikita Zaitsev				X	100.00	77	42	87	72	74	91	80	80	30	50	56	84	68	55	57	37	70	73	0
Rayé
1	Scott Laughton	X	X			100.00	73	44	74	72	70	78	98	67	82	50	60	76	70	57	54	80	37	67	0
2	A.J. Greer		X			100.00	66	45	72	69	79	67	81	67	54	50	50	60	60	51	51	75	37	61	0
3	Denis Gurianov			X		100.00	64	41	77	60	78	58	99	58	50	56	60	60	60	50	50	85	22	61	0

	MOYENNE D'ÉQUIPE					100.00	69	42	83	78	74	84	90	76	55	61	62	73	68	61	59	68	63	73

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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	Frederik Andersen	100.00	92	97	99	91	93	88	87	89	87	90	88	69	81	51	70	86	0
2	Kari Lehtonen	100.00	80	78	78	86	85	86	85	87	86	79	77	98	89	47	70	83	0
Rayé
1	Robin Lehner	100.00	85	95	95	95	82	81	80	81	82	83	82	66	76	62	22	81	0

	MOYENNE D'ÉQUIPE	100.00	86	90	91	91	87	85	84	86	85	84	82	78	82	53	54	83

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lindy Ruff	73	68	68	77	92	67	54	CAN	58	1	2,500,000$

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

#	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	S1	S2	S3
1	Andre Burakovsky	Blue Jackets	LW/RW	28	16	13	29	1	28	0	37	29	114	33	67	14.04%	13	571	20.41	8	3	11	21	76	1	0	1	4	48	1	1	38.64%	44	31	6	0	2	1.01	0	3	3	1	1
2	Jordan Eberle	Blue Jackets	C/RW	28	7	20	27	2	12	0	37	39	89	32	64	7.87%	21	622	22.24	2	8	10	14	90	0	1	1	1	53	1	1	50.00%	424	33	11	1	0	0.87	1	4	1	2	1
3	Alexander Wennberg	Blue Jackets	C	28	8	12	20	-2	14	0	26	31	68	20	42	11.76%	13	518	18.50	1	4	5	5	55	0	0	0	0	22	2	0	49.74%	378	19	12	0	0	0.77	0	1	1	1	3
4	Claude Giroux	Blue Jackets	C/LW	18	8	12	20	4	6	0	22	51	83	21	45	9.64%	12	473	26.29	1	2	3	12	56	0	0	0	3	73	1	0	56.71%	663	22	4	2	1	0.85	1	5	3	2	2
5	Riley Sheahan	Blue Jackets	C/LW	28	6	11	17	4	6	0	19	28	62	19	33	9.68%	11	514	18.36	1	3	4	6	47	0	1	1	1	31	0	1	43.59%	156	11	10	0	0	0.66	0	2	2	1	0
6	Sven Andrighetto	Blue Jackets	LW/RW	28	8	7	15	-6	12	0	26	29	83	23	47	9.64%	14	471	16.83	3	3	6	11	54	0	0	0	0	0	0	1	45.45%	22	23	4	0	0	0.64	0	0	1	1	0
7	Sean Monahan	Blue Jackets	C/LW	18	6	8	14	4	20	0	25	28	80	24	43	7.50%	9	457	25.39	1	1	2	8	56	0	0	0	5	67	1	1	52.78%	36	22	7	0	0	0.61	3	5	0	1	1
8	Vladimir Sobotka	Blue Jackets	C/LW/RW	28	4	9	13	4	16	0	38	32	60	16	31	6.67%	14	439	15.71	0	1	1	2	37	0	0	0	0	0	1	1	61.11%	18	16	15	0	0	0.59	0	0	0	2	2
9	Brett Pesce	Blue Jackets	D	28	1	8	9	7	0	0	18	30	37	9	13	2.70%	52	608	21.73	0	0	0	7	70	0	0	0	1	78	0	0	0.00%	1	2	23	0	0	0.30	0	0	0	0	1
10	Jakub Vrana	Blue Jackets	LW/RW	28	6	3	9	2	16	0	24	18	67	14	25	8.96%	6	397	14.21	0	0	0	0	1	0	0	0	1	29	3	1	47.83%	23	12	6	0	0	0.45	0	0	1	1	0
11	Brooks Orpik	Blue Jackets	D	28	2	5	7	1	38	0	38	37	36	14	18	5.56%	48	719	25.70	1	3	4	7	99	0	0	0	0	88	0	0	0.00%	0	3	23	0	0	0.19	0	0	0	1	0
12	Dmitry Orlov	Blue Jackets	D	28	1	6	7	-10	16	0	31	29	34	9	20	2.94%	40	660	23.58	1	3	4	9	87	0	0	0	0	91	0	0	0.00%	0	9	29	0	0	0.21	0	0	0	0	1
13	Brandon Tanev	Blue Jackets	LW/RW	28	3	2	5	2	4	0	18	21	27	8	21	11.11%	3	234	8.36	0	0	0	0	3	0	0	0	0	9	2	0	20.00%	5	7	3	0	0	0.43	0	0	0	0	2
14	Scott Laughton	Blue Jackets	C/LW	10	1	2	3	1	6	0	12	13	13	4	7	7.69%	5	139	13.92	0	0	0	0	0	0	0	0	0	8	0	0	45.10%	51	5	2	0	0	0.43	0	0	0	0	0
15	A.J. Greer	Blue Jackets	LW	10	1	1	2	1	2	0	0	6	1	0	0	100.00%	0	62	6.30	0	0	0	0	0	0	0	0	0	7	1	0	0.00%	1	0	0	0	0	0.64	0	0	0	0	0
16	Brady Skjei	Blue Jackets	D	28	0	2	2	7	0	0	6	10	7	1	6	0.00%	7	214	7.68	0	0	0	0	1	0	0	0	0	4	0	0	0.00%	1	0	9	0	0	0.19	0	0	0	0	0
17	Charlie McAvoy	Blue Jackets	D	28	0	2	2	11	6	0	11	23	10	5	8	0.00%	16	291	10.41	0	0	0	0	1	0	0	0	0	10	0	0	0.00%	0	1	8	0	0	0.14	0	0	0	0	0
18	Patrik Nemeth	Blue Jackets	D	28	1	1	2	-5	8	0	13	27	32	7	12	3.12%	31	527	18.82	0	0	0	0	59	0	0	0	0	67	1	0	0.00%	0	1	20	0	0	0.08	0	0	0	0	0
19	Mike Matheson	Blue Jackets	D	28	0	0	0	1	25	5	4	16	10	2	2	0.00%	17	239	8.55	0	0	0	0	0	0	0	0	0	13	0	0	0.00%	0	1	5	0	0	0.00	1	2	0	0	0
20	Nikita Zaitsev	Blue Jackets	D	28	0	0	0	-4	2	0	1	14	1	2	1	0.00%	7	145	5.19	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	5	0	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				504	79	124	203	25	237	5	406	511	914	263	505	8.64%	339	8308	16.49	19	31	50	102	802	1	2	3	16	706	14	7	51.34%	1823	218	202	3	3	0.49	6	22	12	13	14

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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	PS %	PSA	ST	BG	S1	S2	S3
1	Frederik Andersen	Blue Jackets	28	18	8	2	0.921	2.63	1643	2	1	72	916	418	3	0.833	24	28	0	5	3	2
2	Kari Lehtonen	Blue Jackets	3	0	0	0	0.879	6.18	68	0	0	7	58	25	0	0.000	0	0	28	0	0	0
Stats d'équipe Total ou en Moyenne			31	18	8	2	0.919	2.77	1711	2	1	79	974	443	3	0.833	24	28	28	5	3	2

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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	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Link
A.J. Greer	Blue Jackets	LW	20	1996-12-14	No	204 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	466,387$	No							Lien
Alexander Wennberg	Blue Jackets	C	23	1994-09-22	No	196 Lbs	6 ft2	No	No	No	5	Contrat d'Entrée	Pro & Farm	4,900,000$	4,900,000$	3,047,059$	No	4,900,000$	4,900,000$	4,900,000$	4,900,000$			Lien
Andre Burakovsky	Blue Jackets	LW/RW	22	1995-02-09	No	201 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	3,000,000$	3,000,000$	1,865,546$	No							Lien
Brady Skjei	Blue Jackets	D	23	1994-03-26	No	211 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	575,210$	No							Lien
Brandon Tanev	Blue Jackets	LW/RW	25	1991-12-31	No	180 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,150,000$	1,150,000$	715,126$	No							Lien
Brett Pesce	Blue Jackets	D	22	1994-11-15	No	200 Lbs	6 ft3	No	No	No	6	Contrat d'Entrée	Pro & Farm	4,025,000$	4,025,000$	2,502,941$	No	4,025,000$	4,025,000$	4,025,000$	4,025,000$	4,025,000$		Lien
Brooks Orpik	Blue Jackets	D	37	1980-09-26	No	217 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	3,420,168$	No							Lien
Charlie McAvoy	Blue Jackets	D	19	1997-12-21	No	208 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	916,667$	916,667$	570,028$	No							Lien
Claude Giroux	Blue Jackets	C/LW	29	1988-01-12	No	185 Lbs	5 ft11	No	No	No	4	Sans Restriction	Pro & Farm	8,275,000$	8,275,000$	5,145,798$	No	8,275,000$	8,275,000$	8,275,000$				Lien
Denis Gurianov	Blue Jackets	RW	20	1997-06-07	No	200 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	466,387$	No							Lien
Dmitry Orlov	Blue Jackets	D	26	1991-07-23	No	212 Lbs	5 ft11	No	No	No	5	Contrat d'Entrée	Pro & Farm	5,100,000$	5,100,000$	3,171,429$	No	5,100,000$	5,100,000$	5,100,000$	5,100,000$			Lien
Frederik Andersen	Blue Jackets	G	27	1989-10-02	No	230 Lbs	6 ft4	No	No	No	3	Avec Restriction	Pro & Farm	5,000,000$	5,000,000$	3,109,244$	No	5,000,000$	5,000,000$					Lien
Jakub Vrana	Blue Jackets	LW/RW	21	1996-02-28	No	197 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	863,333$	863,333$	536,863$	No							Lien
Jordan Eberle	Blue Jackets	C/RW	27	1990-05-15	No	187 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	6,000,000$	6,000,000$	3,731,092$	No							Lien
Kari Lehtonen	Blue Jackets	G	33	1983-11-16	No	209 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	621,849$	No							Lien
Mike Matheson	Blue Jackets	D	23	1994-02-27	No	192 Lbs	6 ft2	No	No	No	7	Contrat d'Entrée	Pro & Farm	4,875,000$	4,875,000$	3,031,513$	No	4,875,000$	4,875,000$	4,875,000$	4,875,000$	4,875,000$	4,875,000$	Lien
Nikita Zaitsev	Blue Jackets	D	25	1991-10-29	No	195 Lbs	6 ft2	No	No	No	6	Contrat d'Entrée	Pro & Farm	4,500,000$	4,500,000$	2,798,319$	No	4,500,000$	4,500,000$	4,500,000$	4,500,000$	4,500,000$		Lien
Patrik Nemeth	Blue Jackets	D	25	1992-02-08	No	219 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	2,500,000$	2,500,000$	1,554,622$	No							Lien
Riley Sheahan	Blue Jackets	C/LW	25	1991-12-07	No	214 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	2,100,000$	2,100,000$	1,305,882$	No							Lien
Robin Lehner	Blue Jackets	G	26	1991-07-24	No	245 Lbs	6 ft4	No	No	No	1	Contrat d'Entrée	Pro & Farm	4,000,000$	4,000,000$	2,487,395$	No							Lien
Scott Laughton	Blue Jackets	C/LW	23	1994-05-30	No	190 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	962,500$	962,500$	598,529$	No							Lien
Sean Monahan	Blue Jackets	C/LW	22	1994-10-12	No	195 Lbs	6 ft3	No	No	No	5	Contrat d'Entrée	Pro & Farm	6,375,000$	6,375,000$	3,964,286$	No	6,375,000$	6,375,000$	6,375,000$	6,375,000$			Lien
Sven Andrighetto	Blue Jackets	LW/RW	24	1993-03-21	No	188 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,400,000$	1,400,000$	870,588$	No							Lien
Vladimir Sobotka	Blue Jackets	C/LW/RW	30	1987-07-02	No	184 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	2,176,471$	No	3,500,000$						Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	24.88	202 Lbs	6 ft2	2.42	3,265,313$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
78,367,500$	46,550,000$	43,050,000$	38,050,000$	29,775,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sean Monahan	Claude Giroux	Jordan Eberle	40	1	2	2
2	Andre Burakovsky	Riley Sheahan	Vladimir Sobotka	30	1	2	2
3	Sven Andrighetto	Alexander Wennberg	Jakub Vrana	20	1	2	2
4	Brandon Tanev	Claude Giroux	Sean Monahan	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brooks Orpik	Dmitry Orlov	40	1	2	2
2	Brett Pesce	Patrik Nemeth	30	1	2	2
3	Mike Matheson	Charlie McAvoy	20	1	2	2
4	Nikita Zaitsev	Brady Skjei	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sean Monahan	Claude Giroux	Jordan Eberle	60	1	2	2
2	Andre Burakovsky	Riley Sheahan	Vladimir Sobotka	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brooks Orpik	Dmitry Orlov	60	1	2	2
2	Brett Pesce	Patrik Nemeth	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Claude Giroux	Sean Monahan	60	1	2	2
2	Jordan Eberle	Riley Sheahan	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brooks Orpik	Dmitry Orlov	60	1	2	2
2	Brett Pesce	Patrik Nemeth	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Claude Giroux	60	1	2	2	Brooks Orpik	Dmitry Orlov	60	1	2	2
2	Sean Monahan	40	1	2	2	Brett Pesce	Patrik Nemeth	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Claude Giroux	Sean Monahan	60	1	2	2
2	Jordan Eberle	Riley Sheahan	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brooks Orpik	Dmitry Orlov	60	1	2	2
2	Brett Pesce	Patrik Nemeth	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sean Monahan	Claude Giroux	Jordan Eberle	Brooks Orpik	Dmitry Orlov

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sean Monahan	Claude Giroux	Jordan Eberle	Brooks Orpik	Dmitry Orlov

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alexander Wennberg, Sven Andrighetto, Jakub Vrana	Alexander Wennberg, Sven Andrighetto	Jakub Vrana

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mike Matheson, Charlie McAvoy, Nikita Zaitsev	Mike Matheson	Charlie McAvoy, Nikita Zaitsev

Tirs de Pénalité
Claude Giroux, Sean Monahan, Jordan Eberle, Riley Sheahan, Andre Burakovsky

Gardien
#1 : Frederik Andersen, #2 : Kari Lehtonen

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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	Blackhawks	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	0	2	2	1.000	2	3	5	0	1	0	0	2	0	21	10	3	8	0	34	15	25	16	2	0	0.00%	6	0	100.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	18	8	22	9	19	9
2	Bruins	2	0	1	0	1	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	1	6	-5	1	0	0	0	1	0	0	0	4	3	1	2	0.500	5	6	11	0	0	0	3	1	1	69	24	21	23	1	62	26	10	25	5	0	0.00%	5	3	40.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	38	20	42	19	39	19
3	Canadiens	2	1	1	0	0	0	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	7	7	0	2	0.500	7	10	17	0	0	3	4	0	0	65	22	30	13	0	74	27	24	28	6	0	0.00%	12	5	58.33%	1	378	710	53.24%	369	722	51.11%	189	378	50.00%	37	20	46	20	35	17
4	Capitals	3	1	0	0	0	0	1	1	8	5	3	1	1	0	0	0	0	0	0	5	2	3	2	0	0	0	0	0	1	1	3	3	0	5	0.833	8	10	18	0	0	0	2	5	1	94	27	32	33	11	106	36	30	47	8	3	37.50%	15	0	100.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	61	32	69	30	59	28
5	Devils	4	1	2	0	0	0	1	0	8	10	-2	3	0	2	0	0	0	1	0	5	8	-3	1	1	0	0	0	0	0	0	3	2	1	4	0.500	8	14	22	0	0	3	1	3	1	124	31	50	43	2	125	41	36	61	10	0	0.00%	17	2	88.24%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	78	40	89	37	77	39
6	Ducks	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	0	1	2	0	27	10	8	9	0	39	15	6	12	2	1	50.00%	3	0	100.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	18	9	23	8	17	9
7	Flames	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	5	9	0	0	2	2	0	0	35	8	15	12	0	17	8	4	16	6	1	16.67%	2	1	50.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	22	11	18	9	19	10
8	Flyers	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	3	4	7	0	0	0	1	2	0	80	22	30	28	0	75	27	22	28	5	0	0.00%	11	5	54.55%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	42	23	41	17	36	19
9	Islanders	3	3	0	0	0	0	0	0	13	6	7	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	3	2	1	6	1.000	13	19	32	0	0	3	5	5	0	107	32	35	40	0	119	36	16	43	18	5	27.78%	8	0	100.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	62	35	67	27	50	26
10	Jets	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	3	5	0	0	0	2	0	1	29	5	19	5	3	33	11	10	11	2	0	0.00%	5	1	80.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	21	10	22	10	21	10
11	Kings	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	4	7	0	0	1	0	1	2	37	13	8	16	6	40	12	6	12	3	0	0.00%	3	0	100.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	20	10	23	9	20	11
12	Oilers	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	8	13	0	0	0	2	3	0	28	9	13	6	0	36	15	8	12	5	2	40.00%	4	1	75.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	19	10	22	9	18	8
13	Penguins	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	7	11	18	0	0	2	2	3	0	68	13	36	19	0	69	20	20	25	12	4	33.33%	10	3	70.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	40	22	44	18	35	18
14	Predateurs	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	2	0	1	1	27	12	9	6	2	39	15	12	19	4	0	0.00%	6	1	83.33%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	24	13	20	9	19	10
15	Senateurs	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	5	3	2	2	0.500	6	9	15	0	0	2	4	0	0	64	16	31	17	0	73	21	6	39	9	3	33.33%	3	2	33.33%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	41	23	40	18	37	19
16	Sharks	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	0	1	1	1	39	5	16	12	6	33	14	4	12	2	0	0.00%	2	1	50.00%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	18	10	24	9	18	8
	Total	28	12	8	0	2	0	4	2	83	81	2	16	6	5	0	1	0	3	1	48	45	3	12	6	3	0	1	0	1	1	35	36	-1	38	0.679	83	124	207	0	1	18	30	29	8	914	259	356	290	31	974	339	239	406	99	19	19.19%	112	25	77.68%	1	378	710	53.24%	369	722	51.11%	189	378	50.00%	567	304	618	265	525	266
	_Since Last GM Reset	28	12	8	0	2	0	4	2	83	81	2	16	6	5	0	1	0	3	1	48	45	3	12	6	3	0	1	0	1	1	35	36	-1	38	0.679	83	124	207	0	1	18	30	29	8	914	259	356	290	31	974	339	239	406	99	19	19.19%	112	25	77.68%	1	378	710	53.24%	369	722	51.11%	189	378	50.00%	567	304	618	265	525	266
	_Vs Conference	20	8	8	0	1	0	2	1	57	65	-8	10	4	5	0	0	0	1	0	29	32	-3	10	4	3	0	1	0	1	1	28	33	-5	23	0.575	57	83	140	0	0	13	22	19	3	671	187	265	216	14	703	234	164	296	73	15	20.55%	81	20	75.31%	1	378	710	53.24%	369	722	51.11%	189	378	50.00%	403	218	441	189	370	187
	_Vs Division	14	6	5	0	0	0	2	1	39	42	-3	8	4	3	0	0	0	1	0	27	22	5	6	2	2	0	0	0	1	1	12	20	-8	17	0.607	39	58	97	0	0	8	11	18	2	473	125	183	163	13	494	160	124	204	53	12	22.64%	61	10	83.61%	0	378	710	53.24%	369	722	51.11%	189	378	50.00%	284	154	311	131	258	131

			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
28	38	SOW1	83	124	207	914	974	339	239	406	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	12	8	2	0	4	2	83	81

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	6	5	1	0	3	1	48	45

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	6	3	1	0	1	1	35	36

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	1	1	0	2	1

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
99	19	19.19%	112	25	77.68%	1

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
259	356	290	31	18	30	29	8

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
378	710	53.24%	369	722	51.11%	189	378	50.00%

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
567	304	618	265	525	266

Derniers Match Joués

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	Lien
3 - 2018-10-11	11	Devils	1	Blue Jackets	2	W	X	X	Sommaire du Match
6 - 2018-10-14	25	Flyers	5	Blue Jackets	2	L			Sommaire du Match
8 - 2018-10-16	34	Blue Jackets	4	Bruins	3	W	X		Sommaire du Match
12 - 2018-10-20	51	Devils	4	Blue Jackets	2	L			Sommaire du Match
17 - 2018-10-25	73	Penguins	3	Blue Jackets	5	W			Sommaire du Match
19 - 2018-10-27	77	Blue Jackets	1	Capitals	2	L	X	X	Sommaire du Match
22 - 2018-10-30	93	Blue Jackets	3	Islanders	2	W			Sommaire du Match
23 - 2018-10-31	100	Blue Jackets	1	Flyers	8	L			Sommaire du Match
25 - 2018-11-02	110	Capitals	2	Blue Jackets	5	W			Sommaire du Match
28 - 2018-11-05	120	Blue Jackets	3	Devils	2	W			Sommaire du Match
30 - 2018-11-07	127	Islanders	1	Blue Jackets	2	W			Sommaire du Match
34 - 2018-11-11	143	Blue Jackets	2	Penguins	5	L			Sommaire du Match
36 - 2018-11-13	153	Devils	3	Blue Jackets	1	L			Sommaire du Match
40 - 2018-11-17	166	Blue Jackets	5	Canadiens	4	W			Sommaire du Match
42 - 2018-11-19	177	Blue Jackets	2	Capitals	1	W	X	X	Sommaire du Match
44 - 2018-11-21	185	Bruins	6	Blue Jackets	1	L			Sommaire du Match
47 - 2018-11-24	200	Flames	2	Blue Jackets	4	W			Sommaire du Match
53 - 2018-11-30	222	Senateurs	4	Blue Jackets	1	L			Sommaire du Match
55 - 2018-12-02	232	Blue Jackets	5	Oilers	3	W			Sommaire du Match
60 - 2018-12-07	247	Jets	3	Blue Jackets	2	L	X	X	Sommaire du Match
64 - 2018-12-11	267	Sharks	2	Blue Jackets	3	W	X		Sommaire du Match
71 - 2018-12-18	290	Islanders	3	Blue Jackets	8	W			Sommaire du Match
73 - 2018-12-20	302	Blue Jackets	5	Senateurs	3	W			Sommaire du Match
75 - 2018-12-22	312	Blue Jackets	2	Canadiens	3	L			Sommaire du Match
76 - 2018-12-23	316	Ducks	1	Blue Jackets	3	W			Sommaire du Match
82 - 2018-12-29	338	Kings	2	Blue Jackets	3	W	X	X	Sommaire du Match
84 - 2018-12-31	351	Blue Jackets	2	Blackhawks	0	W			Sommaire du Match
87 - 2019-01-03	362	Predateurs	3	Blue Jackets	4	W	X	X	Sommaire du Match
91 - 2019-01-07	380	Blue Jackets	-	Predateurs	-
93 - 2019-01-09	386	Lightning	-	Blue Jackets	-
98 - 2019-01-14	408	Blue Jackets	-	Jets	-
99 - 2019-01-15	412	Blackhawks	-	Blue Jackets	-
104 - 2019-01-20	430	Blue Jackets	-	Bruins	-
105 - 2019-01-21	437	Blues	-	Blue Jackets	-
108 - 2019-01-24	449	Blue Jackets	-	Islanders	-
110 - 2019-01-26	458	Golden Knights	-	Blue Jackets	-
112 - 2019-01-28	464	Blue Jackets	-	Blackhawks	-
115 - 2019-01-31	476	Blue Jackets	-	Maple Leafs	-
117 - 2019-02-02	486	Avalanche	-	Blue Jackets	-
121 - 2019-02-06	501	Blue Jackets	-	Maple Leafs	-
124 - 2019-02-09	509	Senateurs	-	Blue Jackets	-
127 - 2019-02-12	530	Islanders	-	Blue Jackets	-
129 - 2019-02-14	539	Blue Jackets	-	Avalanche	-
133 - 2019-02-18	555	Penguins	-	Blue Jackets	-
136 - 2019-02-21	566	Blue Jackets	-	Golden Knights	-
138 - 2019-02-23	573	Blue Jackets	-	Islanders	-
139 - 2019-02-24	581	Bruins	-	Blue Jackets	-
144 - 2019-03-01	601	Blue Jackets	-	Stars	-
145 - 2019-03-02	606	Golden Knights	-	Blue Jackets	-
148 - 2019-03-05	621	Blue Jackets	-	Penguins	-
150 - 2019-03-07	629	Devils	-	Blue Jackets	-
152 - 2019-03-09	641	Blue Jackets	-	Blues	-
154 - 2019-03-11	649	Blue Jackets	-	Capitals	-
156 - 2019-03-13	655	Blue Jackets	-	Panthers	-
157 - 2019-03-14	660	Flyers	-	Blue Jackets	-
161 - 2019-03-18	680	Blue Jackets	-	Panthers	-
162 - 2019-03-19	683	Lightning	-	Blue Jackets	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24	704	Penguins	-	Blue Jackets	-
169 - 2019-03-26	712	Blue Jackets	-	Penguins	-
173 - 2019-03-30	729	Flyers	-	Blue Jackets	-
175 - 2019-04-01	737	Blue Jackets	-	Senateurs	-
177 - 2019-04-03	749	Blue Jackets	-	Sharks	-
179 - 2019-04-05	756	Stars	-	Blue Jackets	-
184 - 2019-04-10	778	Blue Jackets	-	Ducks	-
185 - 2019-04-11	780	Capitals	-	Blue Jackets	-
190 - 2019-04-16	801	Maple Leafs	-	Blue Jackets	-
192 - 2019-04-18	808	Blue Jackets	-	Devils	-
196 - 2019-04-22	823	Maple Leafs	-	Blue Jackets	-
198 - 2019-04-24	831	Blue Jackets	-	Flames	-
203 - 2019-04-29	849	Panthers	-	Blue Jackets	-
208 - 2019-05-04	867	Oilers	-	Blue Jackets	-
210 - 2019-05-06	872	Blue Jackets	-	Kings	-
212 - 2019-05-08	885	Blue Jackets	-	Bruins	-
214 - 2019-05-10	896	Capitals	-	Blue Jackets	-
215 - 2019-05-11	900	Blue Jackets	-	Lightning	-
220 - 2019-05-16	920	Blue Jackets	-	Lightning	-
221 - 2019-05-17	924	Canadiens	-	Blue Jackets	-
223 - 2019-05-19	936	Blue Jackets	-	Devils	-
228 - 2019-05-24	948	Canadiens	-	Blue Jackets	-
230 - 2019-05-26	958	Blue Jackets	-	Flyers	-
232 - 2019-05-28	966	Panthers	-	Blue Jackets	-
235 - 2019-05-31	974	Blue Jackets	-	Flyers	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	25	200
Assistance	91,485	76,810	31,207	61,852	15,064
Attendance PCT	95.30%	96.01%	97.52%	96.64%	94.15%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
25	17276 - 95.98%	1,602,758$	25,644,135$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
29,930,537$	78,367,500$	77,873,750$	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
78,367,500$	28,985,177$	0$	24	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
40,068,961$	148	339,779$	50,287,292$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
50,816,786$	78,367,500$	24,687,916$	13,940,091$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Claude Giroux	AGE:29	PO:66	OV:92
Sean Monahan	AGE:22	PO:86	OV:84
Andre Burakovsky	AGE:22	PO:81	OV:73
Riley Sheahan	AGE:25	PO:70	OV:73
Sven Andrighetto	AGE:24	PO:61	OV:72
Vladimir Sobotka	AGE:30	PO:47	OV:72
Jakub Vrana	AGE:21	PO:85	OV:71
Brandon Tanev	AGE:25	PO:37	OV:69
Scott Laughton	AGE:23	PO:80	OV:67
Joseph Blandisi	AGE:23	PO:48	OV:65
A.J. Greer	AGE:20	PO:75	OV:61

Claude Giroux	AGE:29	PO:66	OV:92
Sean Monahan	AGE:22	PO:86	OV:84
Jordan Eberle	AGE:27	PO:68	OV:82
Riley Sheahan	AGE:25	PO:70	OV:73
Alexander Wennberg	AGE:23	PO:82	OV:72
Vladimir Sobotka	AGE:30	PO:47	OV:72
Scott Laughton	AGE:23	PO:80	OV:67
Joseph Blandisi	AGE:23	PO:48	OV:65

Jordan Eberle	AGE:27	PO:68	OV:82
Andre Burakovsky	AGE:22	PO:81	OV:73
Sven Andrighetto	AGE:24	PO:61	OV:72
Vladimir Sobotka	AGE:30	PO:47	OV:72
Jakub Vrana	AGE:21	PO:85	OV:71
Brandon Tanev	AGE:25	PO:37	OV:69
Nicholas Baptiste	AGE:22	PO:66	OV:62
Denis Gurianov	AGE:20	PO:85	OV:61
Julien Gauthier	AGE:19	PO:44	OV:61

Défense #1

Défense #2

Gardien

Brooks Orpik	AGE:37	PO:35	OV:78
Brett Pesce	AGE:22	PO:65	OV:75
Dmitry Orlov	AGE:26	PO:60	OV:75
Patrik Nemeth	AGE:25	PO:71	OV:74
Charlie McAvoy	AGE:19	PO:84	OV:73
Mike Matheson	AGE:23	PO:79	OV:73

Brady Skjei	AGE:23	PO:78	OV:73
Nikita Zaitsev	AGE:25	PO:37	OV:73
Jakub Jerabek	AGE:26	PO:37	OV:67
Ben Harpur	AGE:22	PO:60	OV:66
Brendan Guhle	AGE:20	PO:72	OV:62
*Timothy Liljegren	AGE:18	PO:45	OV:58

Frederik Andersen	AGE:27	PO:51	OV:86
Kari Lehtonen	AGE:33	PO:47	OV:83
Robin Lehner	AGE:26	PO:62	OV:81

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
Jordan Greenway	Blue Jackets	2015	50
Kevin Bahl	Blue Jackets	2018	57
Kirill Marchemko	Blue Jackets	2018	33
Liam Foudy	Blue Jackets	2018	23

Choix au Repêchage

Année	R1	R2	R3	R4	R5
3	CLB	CLB	CLB	CLB	CLB
4	CLB	CLB	CLB	CLB	CLB
5	CLB	CLB	CLB	CLB	CLB
6	CLB	CLB	CLB	CLB	CLB
7	CLB	CLB	CLB	CLB	CLB

[2018-12-10 20:52:22] - New Record for Team's Most Penalties Minutes (25) in 1 Game for Blue Jackets!
[2018-11-30 21:12:59] - New Record for Team's Most Points (19) in 1 Game for Blue Jackets!
[2018-11-30 21:12:59] - New Record for Team's Most Goals (8) in 1 Game for Blue Jackets!
[2018-10-04 22:34:37] - Kari Lehtonen was added to Blue Jackets.
[2018-09-25 00:23:53] - Monsters hired Bill Peeters for 300 000 $ for 1 year(s).
[2018-09-24 23:54:08] - Reto Berra was released.
[2018-09-24 23:54:08] - Blue Jackets paid 0 $ to release Reto Berra.
[2018-08-29 21:18:08] - Julien Gauthier was added to Blue Jackets.
[2018-08-29 21:18:01] - Denis Gurianov was added to Blue Jackets.
[2018-08-29 21:16:56] - Timothy Liljegren was added to Blue Jackets.
[2018-08-29 21:15:50] - Julien Gauthier has been deleted from Blue Jackets.
[2018-08-29 21:15:46] - Denis Gurianov has been deleted from Blue Jackets.
[2018-08-29 20:19:11] - Kevin Bahl has been added to Blue Jackets.
[2018-08-19 21:48:22] - Kirill Marchemko has been added to Blue Jackets.
[2018-08-19 21:38:41] - Liam Foudy has been added to Blue Jackets.
[2018-07-18 21:29:03] - TRADE : From Devils to Blue Jackets : Patrik Nemeth (65).
[2018-07-18 21:29:03] - TRADE : From Blue Jackets to Devils : Y:2-RND:4-CLB, Y:2-RND:5-CLB.
[2018-07-06 22:02:44] - Trent Yawney contract with Monsters has ended.
[2018-06-19 21:08:40] - Blue Jackets was eliminated at round 4 of year 1.
[2018-05-20 12:47:50] - Monsters didn't make playoff for year 1.
[2018-05-11 20:58:04] - New Record for Team's Most Penalties Minutes (18) in 1 Game for Blue Jackets!
[2018-05-07 22:03:17] - New Record for Team's Most Hits (33) in 1 Game for Blue Jackets!

[2018-12-12 21:08:08] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-12-12 21:06:58] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-12-10 20:52:22] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-12-10 20:52:22] Last 7 Days Pro Star : 1 - Frederik Andersen of Blue Jackets (0,973) / 2 - Cam Ward of Penguins (0,936) / 3 - Malcolm Subban of Canadiens (0,959)
[2018-12-10 20:52:22] New Record for Team's Most Penalties Minutes (25) in 1 Game for Blue Jackets!
[2018-12-10 20:51:43] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-12-07 22:26:01] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-12-07 22:22:22] Auto Lines Function has been run for Blue Jackets.
[2018-12-07 22:22:22] Auto Roster Partial Function has been run for Blue Jackets.
[2018-12-05 21:03:25] Riley Sheahan from Blue Jackets is back from Exhaustion.
[2018-12-05 21:03:25] Jordan Eberle from Blue Jackets is back from Exhaustion.
[2018-12-05 21:03:25] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-12-05 21:03:25] Last 7 Days Pro Star : 1 - Andre Burakovsky of Blue Jackets (8-2-10) / 2 - Phil Kessel of Panthers (6-4-10) / 3 - Jordan Eberle of Blue Jackets (1-10-11)
[2018-12-04 23:44:28] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-12-04 23:44:27] Riley Sheahan from Blue Jackets is injured from Exhaustion.
[2018-12-04 23:44:27] Jordan Eberle from Blue Jackets is injured from Exhaustion.
[2018-12-04 23:40:41] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-12-03 21:39:01] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-12-03 21:37:56] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-12-03 21:37:56] Andre Burakovsky from Blue Jackets has scored a Hat Trick!
[2018-11-30 21:13:00] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2018-11-30 21:12:59] New Record for Team's Most Points (19) in 1 Game for Blue Jackets!
[2018-11-30 21:12:59] New Record for Team's Most Goals (8) in 1 Game for Blue Jackets!
[2018-11-30 21:12:59] Andre Burakovsky from Blue Jackets has scored a Hat Trick!
[2018-11-29 22:37:33] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-28 21:16:57] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-26 20:42:15] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2018-11-22 22:42:51] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.

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
2	28	12	8	0	2	0	4	2	83	81	2	16	6	5	0	1	0	3	1	48	45	3	12	6	3	0	1	0	1	1	35	36	-1	38	83	124	207	0	1	18	30	29	8	914	259	356	290	31	974	339	239	406	99	19	19.19%	112	25	77.68%	1	378	710	53.24%	369	722	51.11%	189	378	50.00%	567	304	618	265	525	266
Total Saison Régulière	28	12	8	0	2	0	4	2	83	81	2	16	6	5	0	1	0	3	1	48	45	3	12	6	3	0	1	0	1	1	35	36	-1	38	83	124	207	0	1	18	30	29	8	914	259	356	290	31	974	339	239	406	99	19	19.19%	112	25	77.68%	1	378	710	53.24%	369	722	51.11%	189	378	50.00%	567	304	618	265	525	266

Année	R1	R2	R3	R4	R5
3	CLB	CLB	CLB	CLB	CLB
4	CLB	CLB	CLB	CLB	CLB
5	CLB	CLB	CLB	CLB	CLB
6	CLB	CLB	CLB	CLB	CLB
7	CLB	CLB	CLB	CLB	CLB

Année	R1	R2	R3	R4	R5
3	CLB	CLB	CLB	CLB	CLB
4	CLB	CLB	CLB	CLB	CLB
5	CLB	CLB	CLB	CLB	CLB
6	CLB	CLB	CLB	CLB	CLB
7	CLB	CLB	CLB	CLB	CLB

Année	R1	R2	R3	R4	R5
3	CLB	CLB	CLB	CLB	CLB
4	CLB	CLB	CLB	CLB	CLB
5	CLB	CLB	CLB	CLB	CLB
6	CLB	CLB	CLB	CLB	CLB
7	CLB	CLB	CLB	CLB	CLB