PIFFPACK - Blue Jackets

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Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
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Historique
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Blessure/Suspension
Stats d'équipe en Carrière
Client Web pour Formation
Client Web pour Lignes

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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	Claude Giroux (C)	X	X	X		99.00	58	38	86	84	69	87	95	86	83	89	74	73	80	79	90	64	68	86	0
2	Sean Monahan	X				100.00	57	36	90	82	80	85	91	80	82	84	83	62	81	69	70	85	68	83	0
3	Justin Williams			X		100.00	62	40	78	74	75	83	95	73	68	75	74	74	72	88	90	36	68	81	0
4	Ryan Johansen	X				100.00	77	40	78	75	87	85	93	74	86	84	67	72	67	73	75	76	68	80	0
5	Jonathan Drouin		X	X		100.00	62	38	85	81	73	82	94	88	59	78	71	55	76	67	69	86	69	79	0
6	Michael Frolik			X		100.00	68	39	82	72	75	74	78	72	55	72	73	68	73	79	75	67	68	78	0
7	Thomas Vanek		X	X		100.00	59	39	82	72	83	80	78	71	53	73	73	56	74	85	76	56	68	77	0
8	Jakub Vrana		X	X		100.00	59	43	85	77	74	76	95	73	52	72	74	63	71	65	67	84	68	76	0
9	Jordan Eberle			X		100.00	57	42	88	76	71	81	91	74	53	70	72	58	73	77	74	66	68	76	0
10	Phillip Danault	X				100.00	76	45	80	73	77	86	94	72	86	79	67	88	68	71	69	76	68	76	0
11	Blake Coleman	X	X	X		100.00	92	49	68	70	72	82	91	69	72	65	75	84	72	75	71	54	68	75	0
12	Brandon Tanev		X	X		100.00	97	50	79	65	70	77	93	64	52	66	67	88	67	75	68	36	56	73	0
13	Brett Pesce				X	100.00	63	38	85	70	85	86	87	69	30	76	66	93	58	69	67	64	59	78	0
14	Travis Hamonic				X	99.00	62	45	80	66	81	87	82	65	30	72	67	95	56	77	70	57	68	78	0
15	Dan Girardi				X	100.00	88	37	89	65	80	83	75	64	30	72	61	84	52	85	75	25	68	77	0
16	Dmitry Orlov				X	100.00	82	43	84	77	79	87	95	74	30	77	56	79	64	75	68	58	68	77	0
17	Brady Skjei				X	100.00	87	41	77	69	86	87	91	68	30	73	67	79	55	69	66	77	68	76	0
18	Charlie McAvoy (A)				X	100.00	82	48	70	76	77	89	67	74	30	79	71	78	64	63	65	84	68	75	0
Rayé
1	Derick Brassard	X	X	X		100.00	80	41	77	69	78	77	83	68	79	62	69	63	70	79	72	54	22	74	0
2	Jordan Greenway		X	X		100.00	73	41	90	70	98	71	81	69	64	68	71	69	67	63	62	72	20	74	0
3	Roman Polak				X	100.00	89	49	68	61	88	85	90	59	30	67	53	85	46	82	73	29	37	76	0

	MOYENNE D'ÉQUIPE					99.90	73	42	81	73	79	82	88	72	55	74	69	75	67	75	72	62	61	77

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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	91	95	93	92	90	89	91	90	89	91	90	78	84	51	68	87	0
Rayé
1	Anton Khudobin	98.00	90	87	85	72	89	88	90	89	88	90	89	82	87	29	62	84	0
2	Cam Talbot	100.00	84	83	81	86	83	82	84	83	82	84	83	80	86	30	24	80	0

	MOYENNE D'ÉQUIPE	99.33	88	88	86	83	87	86	88	87	86	88	87	80	86	37	51	84

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ken Hitchcock	87	80	82	80	99	94	41	CAN	67	3	3,770,000$

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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	P/20	PSG	PSS	FT	S1	S2	S3
1	Claude Giroux	Blue Jackets	C/LW/RW	32	13	25	38	-4	18	0	35	39	133	47	79	9.77%	10	688	21.52	6	13	19	20	95	0	0	0	1	29	2	1	49.10%	332	31	9	0	1.10	2	7	0	5	0	0
2	Sean Monahan	Blue Jackets	C	32	14	15	29	-6	8	0	27	55	127	31	73	11.02%	17	630	19.71	9	5	14	22	92	0	0	0	0	8	2	0	50.51%	788	17	5	0	0.92	2	7	0	0	2	2
3	Jonathan Drouin	Blue Jackets	LW/RW	32	7	20	27	5	25	5	45	21	109	32	70	6.42%	12	596	18.63	4	13	17	16	93	0	0	0	0	0	2	1	40.48%	42	38	10	0	0.91	0	0	1	1	2	1
4	Ryan Johansen	Blue Jackets	C	32	8	12	20	1	18	0	51	40	84	31	54	9.52%	11	538	16.82	2	4	6	4	65	0	0	0	6	54	2	0	55.77%	407	20	11	0	0.74	0	0	0	1	2	1
5	Justin Williams	Blue Jackets	RW	32	9	8	17	-4	24	0	43	32	86	27	44	10.47%	16	527	16.50	5	1	6	10	53	0	0	0	0	8	1	1	51.22%	41	11	10	0	0.64	0	5	0	2	0	0
6	Thomas Vanek	Blue Jackets	LW/RW	32	6	11	17	2	12	0	24	28	63	18	28	9.52%	10	490	15.34	0	6	6	7	72	0	0	0	0	0	1	0	28.57%	21	16	4	0	0.69	0	0	0	1	0	1
7	Jordan Eberle	Blue Jackets	RW	32	8	7	15	9	0	0	8	12	52	15	39	15.38%	4	280	8.76	0	0	0	0	0	0	0	0	1	37	2	2	20.00%	25	10	6	0	1.07	0	0	0	3	0	1
8	Travis Hamonic	Blue Jackets	D	32	5	10	15	-4	46	0	39	65	56	24	19	8.93%	58	875	27.37	1	2	3	6	84	0	0	0	2	116	1	0	0.00%	0	9	34	1	0.34	0	0	0	2	2	0
9	Michael Frolik	Blue Jackets	RW	32	7	7	14	3	6	0	24	22	65	16	40	10.77%	7	371	11.60	2	1	3	2	28	0	0	0	0	0	1	1	44.44%	9	12	3	0	0.75	0	0	0	0	1	2
10	Phillip Danault	Blue Jackets	C	32	6	7	13	6	8	0	39	45	62	22	32	9.68%	11	448	14.02	0	0	0	0	1	0	1	1	2	110	1	0	53.76%	372	11	13	0	0.58	0	0	0	0	3	2
11	Dmitry Orlov	Blue Jackets	D	32	1	10	11	10	8	0	36	45	33	13	9	3.03%	36	702	21.95	0	2	2	5	90	0	0	0	2	85	0	0	0.00%	0	4	20	0	0.31	0	0	0	0	1	1
12	Jakub Vrana	Blue Jackets	LW/RW	32	3	8	11	4	4	0	21	20	72	17	53	4.17%	8	364	11.40	0	0	0	0	1	0	0	0	0	6	1	0	62.50%	8	19	3	0	0.60	0	0	0	1	0	0
13	Dan Girardi	Blue Jackets	D	32	0	10	10	10	2	0	31	25	26	12	14	0.00%	29	580	18.13	0	1	1	0	35	0	0	0	1	85	0	0	0.00%	0	1	17	0	0.34	0	0	0	0	0	0
14	Blake Coleman	Blue Jackets	C/LW/RW	32	4	4	8	11	20	0	36	24	35	14	20	11.43%	7	310	9.72	0	0	0	0	0	0	0	0	1	79	0	0	39.51%	81	7	2	1	0.51	0	0	0	0	1	1
15	Charlie McAvoy	Blue Jackets	D	32	4	3	7	7	40	0	38	35	37	11	11	10.81%	35	513	16.04	1	1	2	3	49	0	0	0	1	38	1	1	0.00%	0	17	19	0	0.27	0	0	0	0	1	1
16	Brady Skjei	Blue Jackets	D	32	1	5	6	0	16	0	34	25	21	5	7	4.76%	30	425	13.31	0	0	0	0	23	0	0	0	0	10	0	0	0.00%	0	7	16	0	0.28	0	0	0	0	0	1
17	Brett Pesce	Blue Jackets	D	23	3	3	6	-3	28	0	30	46	31	11	10	9.68%	58	622	27.06	2	0	2	2	54	0	0	0	0	85	0	1	0.00%	0	8	22	0	0.19	0	0	0	0	0	0
18	Brandon Tanev	Blue Jackets	LW/RW	24	3	2	5	10	0	0	20	22	19	1	12	15.79%	8	280	11.67	0	0	0	0	0	1	0	1	2	104	1	0	50.00%	10	3	7	0	0.36	0	0	0	0	1	1
19	Derick Brassard	Blue Jackets	C/LW/RW	5	0	1	1	-1	2	0	2	6	5	2	3	0.00%	0	48	9.65	0	0	0	0	0	0	0	0	0	5	0	0	66.67%	18	0	0	0	0.41	0	0	0	0	0	0
20	Roman Polak	Blue Jackets	D	12	0	1	1	1	8	0	13	7	4	1	4	0.00%	13	163	13.63	0	0	0	0	0	0	0	0	0	30	0	0	0.00%	0	1	1	0	0.12	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				576	102	169	271	57	293	5	596	614	1120	350	621	9.11%	380	9459	16.42	32	49	81	97	842	1	1	2	19	897	18	8	50.84%	2154	242	212	2	0.57	4	19	1	16	16	15

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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
1	Anton Khudobin	Blue Jackets	20	13	3	4	0.925	2.45	1224	4	1	50	668	286	1	0	0.538	13	20	10	2	1	1
2	Frederik Andersen	Blue Jackets	12	7	4	1	0.907	3.05	729	0	0	37	396	182	3	1	0.500	6	12	20	0	0	3
Stats d'équipe Total ou en Moyenne			32	20	7	5	0.918	2.67	1953	4	1	87	1064	468	4	1	0.526	19	32	30	2	1	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 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
Anton Khudobin	Blue Jackets	G	31	1986-05-07	No	200 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	755,000$	755,000$	471,376$	No	Lien
Blake Coleman	Blue Jackets	C/LW/RW	25	1991-11-28	No	200 Lbs	5 ft11	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,800,000$	1,800,000$	1,123,810$	No	Lien
Brady Skjei	Blue Jackets	D	23	1994-03-26	No	214 Lbs	6 ft3	No	No	No	5	Contrat d'Entrée	Pro & Farm	5,250,000$	5,250,000$	3,277,778$	No	Lien
Brandon Tanev	Blue Jackets	LW/RW	25	1991-12-31	No	180 Lbs	6 ft0	No	No	No	6	Contrat d'Entrée	Pro & Farm	3,500,000$	3,500,000$	2,185,185$	No	Lien
Brett Pesce	Blue Jackets	D	22	1994-11-15	No	206 Lbs	6 ft3	No	No	No	5	Contrat d'Entrée	Pro & Farm	4,025,000$	4,025,000$	2,512,963$	No	Lien
Cam Talbot	Blue Jackets	G	30	1987-07-05	No	196 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	750,000$	750,000$	468,254$	No	Lien
Charlie McAvoy	Blue Jackets	D	19	1997-12-21	No	208 Lbs	6 ft0	No	No	No	3	Contrat d'Entrée	Pro & Farm	4,900,000$	4,900,000$	3,059,259$	No	Lien
Claude Giroux	Blue Jackets	C/LW/RW	29	1988-01-12	No	185 Lbs	5 ft11	No	No	No	3	Sans Restriction	Pro & Farm	8,275,000$	8,275,000$	5,166,402$	No	Lien
Dan Girardi	Blue Jackets	D	33	1984-04-29	No	212 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	800,000$	800,000$	499,471$	No	Lien
Derick Brassard	Blue Jackets	C/LW/RW	30	1987-09-22	No	202 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	624,339$	No	Lien
Dmitry Orlov	Blue Jackets	D	26	1991-07-23	No	212 Lbs	5 ft11	No	No	No	4	Contrat d'Entrée	Pro & Farm	5,100,000$	5,100,000$	3,184,127$	No	Lien
Frederik Andersen	Blue Jackets	G	27	1989-10-02	No	230 Lbs	6 ft4	No	No	No	2	Avec Restriction	Pro & Farm	5,000,000$	5,000,000$	3,121,693$	No	Lien
Jakub Vrana	Blue Jackets	LW/RW	21	1996-02-28	No	197 Lbs	6 ft0	No	No	No	2	Contrat d'Entrée	Pro & Farm	3,350,000$	3,350,000$	2,091,534$	No	Lien
Jonathan Drouin	Blue Jackets	LW/RW	22	1995-03-28	No	193 Lbs	6 ft0	No	No	No	4	Contrat d'Entrée	Pro & Farm	5,500,000$	5,500,000$	3,433,862$	No	Lien
Jordan Eberle	Blue Jackets	RW	27	1990-05-15	No	187 Lbs	5 ft11	No	No	No	5	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	3,433,862$	No	Lien
Jordan Greenway	Blue Jackets	LW/RW	20	1997-02-16	No	227 Lbs	6 ft6	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	468,254$	No	Lien
Justin Williams	Blue Jackets	RW	35	1981-10-04	No	184 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	3,120,000$	3,120,000$	1,947,937$	No	Lien
Michael Frolik	Blue Jackets	RW	29	1988-02-17	No	190 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	2,666,000$	2,666,000$	1,664,487$	No	Lien
Phillip Danault	Blue Jackets	C	24	1993-02-24	No	198 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	3,083,333$	3,083,333$	1,925,044$	No	Lien
Roman Polak	Blue Jackets	D	31	1986-04-28	No	240 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	1,750,000$	1,750,000$	1,092,593$	No	Lien
Ryan Johansen	Blue Jackets	C	25	1992-07-31	No	218 Lbs	6 ft3	No	No	No	6	Contrat d'Entrée	Pro & Farm	8,000,000$	8,000,000$	4,994,709$	No	Lien
Sean Monahan	Blue Jackets	C	22	1994-10-12	No	200 Lbs	6 ft2	No	No	No	4	Contrat d'Entrée	Pro & Farm	6,375,000$	6,375,000$	3,980,159$	No	Lien
Thomas Vanek	Blue Jackets	LW/RW	33	1984-01-19	No	214 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	624,339$	No	Lien
Travis Hamonic	Blue Jackets	D	27	1990-08-16	No	205 Lbs	6 ft2	No	No	No	5	Avec Restriction	Pro & Farm	3,857,143$	3,857,143$	2,408,163$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	26.50	204 Lbs	6 ft1	2.79	3,587,770$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
86,106,476$	73,515,476$	60,282,143$	47,107,143$	30,132,143$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Claude Giroux	Sean Monahan	Jonathan Drouin	40	1	1	3
2	Thomas Vanek	Ryan Johansen	Justin Williams	30	1	1	3
3	Jakub Vrana	Phillip Danault	Michael Frolik	20	1	2	2
4	Brandon Tanev	Blake Coleman	Jordan Eberle	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brett Pesce	Travis Hamonic	40	1	2	2
2	Charlie McAvoy	Dmitry Orlov	30	1	2	2
3	Brady Skjei	Dan Girardi	20	1	2	2
4	Charlie McAvoy	Travis Hamonic	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jonathan Drouin	Claude Giroux	Sean Monahan	60	1	2	2
2	Thomas Vanek	Ryan Johansen	Justin Williams	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Charlie McAvoy	Dmitry Orlov	60	1	2	2
2	Dmitry Orlov	Travis Hamonic	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Phillip Danault	Brandon Tanev	60	1	2	2
2	Blake Coleman	Ryan Johansen	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brett Pesce	Travis Hamonic	60	1	2	2
2	Dmitry Orlov	Dan Girardi	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Phillip Danault	60	1	2	2	Brett Pesce	Travis Hamonic	60	1	2	2
2	Brandon Tanev	40	1	2	2	Dmitry Orlov	Dan Girardi	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sean Monahan	Claude Giroux	60	1	2	2
2	Ryan Johansen	Justin Williams	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brady Skjei	Travis Hamonic	60	1	2	2
2	Dmitry Orlov	Charlie McAvoy	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jonathan Drouin	Claude Giroux	Justin Williams	Brady Skjei	Travis Hamonic

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jonathan Drouin	Claude Giroux	Justin Williams	Brady Skjei	Travis Hamonic

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Phillip Danault, Jakub Vrana, Jordan Eberle	Phillip Danault, Jakub Vrana	Jordan Eberle

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brady Skjei, Charlie McAvoy, Dmitry Orlov	Brady Skjei	Charlie McAvoy, Dmitry Orlov

Tirs de Pénalité
Claude Giroux, Sean Monahan, Justin Williams, Ryan Johansen, Jonathan Drouin

Gardien
#1 : , #2 : Frederik Andersen

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	Avalanche	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	0	0	1	0	34	5	20	9	0	32	14	12	22	1	0	0.00%	6	1	83.33%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	19	10	22	10	18	8
2	Blackhawks	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	4	7	0	0	0	0	3	0	29	4	11	14	0	40	12	18	13	0	0	0.00%	9	4	55.56%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	18	10	23	9	17	7
3	Blues	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	3	4	-1	1	0.500	3	6	9	0	0	0	1	2	0	27	8	11	8	3	40	8	18	27	5	1	20.00%	8	2	75.00%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	22	11	23	10	18	8
4	Canadiens	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	0	3	0	0	36	14	16	6	0	30	13	8	23	5	0	0.00%	4	1	75.00%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	22	12	20	9	16	8
5	Capitals	4	4	0	0	0	0	0	0	14	6	8	3	3	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	5	3	2	8	1.000	14	23	37	0	1	1	6	7	0	120	39	50	31	0	119	37	32	78	16	2	12.50%	16	3	81.25%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	85	48	83	37	71	34
6	Devils	2	1	0	0	0	0	1	0	9	7	2	1	1	0	0	0	0	0	0	4	3	1	1	0	0	0	0	0	1	0	5	4	1	4	1.000	9	12	21	0	0	1	6	1	2	79	20	42	17	3	71	16	24	34	11	7	63.64%	12	4	66.67%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	46	28	42	18	35	17
7	Flyers	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	8	12	0	0	0	2	2	0	70	16	27	27	0	72	19	12	40	8	1	12.50%	6	0	100.00%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	45	26	39	16	34	17
8	Golden Knights	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	0	1	1	0	27	7	12	8	0	36	19	16	15	1	0	0.00%	8	1	87.50%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	17	9	25	9	16	7
9	Islanders	5	1	2	0	0	0	0	2	13	18	-5	3	0	1	0	0	0	0	2	6	10	-4	2	1	1	0	0	0	0	0	7	8	-1	4	0.400	13	22	35	1	0	2	8	3	1	187	56	76	54	6	166	50	36	88	12	3	25.00%	18	6	66.67%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	106	61	111	47	92	44
10	Jets	2	2	0	0	0	0	0	0	11	4	7	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	4	1	3	4	1.000	11	17	28	0	0	2	3	6	0	83	15	28	40	0	50	22	16	44	10	3	30.00%	8	0	100.00%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	43	25	42	18	34	16
11	Lightning	2	1	1	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	1	6	-5	1	1	0	0	0	0	0	0	4	3	1	2	0.500	5	8	13	0	0	4	1	0	0	70	26	22	22	0	73	32	27	28	6	2	33.33%	11	2	81.82%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	44	26	43	16	32	15
12	Maple Leafs	2	1	1	0	0	0	0	0	5	8	-3	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	5	8	13	0	0	1	3	1	0	63	18	27	18	0	71	24	16	53	5	0	0.00%	8	1	87.50%	1	404	805	50.19%	461	866	53.23%	230	466	49.36%	41	24	46	17	32	15
13	Panthers	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	0	1	1	0	38	8	22	8	2	34	23	8	19	9	1	11.11%	4	1	75.00%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	25	14	20	9	19	10
14	Penguins	5	5	0	0	0	0	0	0	24	14	10	3	3	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	11	7	4	10	1.000	24	39	63	0	0	7	7	10	0	187	60	67	60	0	169	64	50	79	25	11	44.00%	25	3	88.00%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	111	64	102	47	85	43
15	Senateurs	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	0	0	2	0	37	14	12	11	3	34	12	2	18	2	0	0.00%	1	0	100.00%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	24	14	22	8	17	9
16	Stars	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	4	7	0	0	1	0	1	1	33	16	9	8	3	28	15	2	15	3	1	33.33%	1	0	100.00%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	23	13	22	9	19	10
	Total	32	18	7	0	0	0	2	5	104	93	11	15	10	3	0	0	0	0	2	47	37	10	17	8	4	0	0	0	2	3	57	56	1	45	0.703	104	169	273	1	1	19	42	41	4	1120	326	452	341	20	1065	380	297	596	119	32	26.89%	145	29	80.00%	1	404	805	50.19%	461	866	53.23%	230	466	49.36%	698	403	693	298	563	276
	_Since Last GM Reset	32	18	7	0	0	0	2	5	104	93	11	15	10	3	0	0	0	0	2	47	37	10	17	8	4	0	0	0	2	3	57	56	1	45	0.703	104	169	273	1	1	19	42	41	4	1120	326	452	341	20	1065	380	297	596	119	32	26.89%	145	29	80.00%	1	404	805	50.19%	461	866	53.23%	230	466	49.36%	698	403	693	298	563	276
	_Vs Conference	25	15	5	0	0	0	1	4	81	74	7	13	8	3	0	0	0	0	2	38	33	5	12	7	2	0	0	0	1	2	43	41	2	36	0.720	81	133	214	1	1	16	37	27	3	887	271	361	254	14	839	290	215	460	99	27	27.27%	105	21	80.00%	1	404	805	50.19%	461	866	53.23%	230	466	49.36%	553	322	532	230	438	217
	_Vs Division	18	12	3	0	0	0	1	2	64	49	15	11	7	2	0	0	0	0	2	33	25	8	7	5	1	0	0	0	1	0	31	24	7	28	0.778	64	104	168	1	1	11	29	23	3	643	191	262	189	9	597	186	154	319	72	24	33.33%	77	16	79.22%	0	404	805	50.19%	461	866	53.23%	230	466	49.36%	395	229	379	168	319	158

			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
32	45	W1	104	169	273	1120	1065	380	297	596	1	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
32	18	7	0	0	2	5	104	93

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	10	3	0	0	0	2	47	37

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	8	4	0	0	2	3	57	56

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	2	0	0	1	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
119	32	26.89%	145	29	80.00%	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
326	452	341	20	19	42	41	4

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
404	805	50.19%	461	866	53.23%	230	466	49.36%

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
698	403	693	298	563	276

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	OT	SO	Lien
1 - 2019-10-04	1	Blue Jackets	2	Islanders	6	L			Sommaire du Match
2 - 2019-10-05	11	Blue Jackets	5	Penguins	4	W			Sommaire du Match
5 - 2019-10-08	21	Islanders	3	Blue Jackets	2	L	X	X	Sommaire du Match
7 - 2019-10-10	35	Blue Jackets	3	Flyers	2	W			Sommaire du Match
9 - 2019-10-12	44	Islanders	4	Blue Jackets	2	L			Sommaire du Match
12 - 2019-10-15	60	Capitals	1	Blue Jackets	3	W			Sommaire du Match
15 - 2019-10-18	72	Blue Jackets	5	Devils	4	W	X	X	Sommaire du Match
17 - 2019-10-20	86	Flyers	2	Blue Jackets	1	L			Sommaire du Match
19 - 2019-10-22	97	Blue Jackets	1	Maple Leafs	6	L			Sommaire du Match
23 - 2019-10-26	114	Blue Jackets	5	Islanders	2	W			Sommaire du Match
24 - 2019-10-27	120	Devils	3	Blue Jackets	4	W			Sommaire du Match
26 - 2019-10-29	130	Blue Jackets	6	Penguins	3	W			Sommaire du Match
27 - 2019-10-30	135	Blue Jackets	5	Capitals	3	W			Sommaire du Match
28 - 2019-10-31	144	Penguins	3	Blue Jackets	7	W			Sommaire du Match
31 - 2019-11-03	167	Islanders	3	Blue Jackets	2	L	X	X	Sommaire du Match
34 - 2019-11-06	183	Capitals	0	Blue Jackets	3	W			Sommaire du Match
37 - 2019-11-09	197	Capitals	2	Blue Jackets	3	W			Sommaire du Match
40 - 2019-11-12	210	Blue Jackets	2	Panthers	3	L	X	X	Sommaire du Match
42 - 2019-11-14	217	Blue Jackets	3	Canadiens	2	W			Sommaire du Match
44 - 2019-11-16	227	Blue Jackets	2	Senateurs	3	L	X	X	Sommaire du Match
46 - 2019-11-18	235	Blue Jackets	1	Avalanche	3	L			Sommaire du Match
47 - 2019-11-19	240	Penguins	2	Blue Jackets	3	W			Sommaire du Match
50 - 2019-11-22	256	Blue Jackets	4	Jets	1	W			Sommaire du Match
52 - 2019-11-24	263	Jets	3	Blue Jackets	7	W			Sommaire du Match
54 - 2019-11-26	274	Blue Jackets	4	Lightning	3	W			Sommaire du Match
56 - 2019-11-28	286	Lightning	6	Blue Jackets	1	L			Sommaire du Match
58 - 2019-11-30	298	Blue Jackets	3	Blackhawks	5	L			Sommaire du Match
60 - 2019-12-02	310	Maple Leafs	2	Blue Jackets	4	W			Sommaire du Match
62 - 2019-12-04	316	Blue Jackets	3	Stars	2	W	X	X	Sommaire du Match
65 - 2019-12-07	334	Golden Knights	1	Blue Jackets	2	W			Sommaire du Match
67 - 2019-12-09	347	Blue Jackets	3	Blues	4	L	X	X	Sommaire du Match
70 - 2019-12-12	359	Penguins	2	Blue Jackets	3	W			Sommaire du Match
72 - 2019-12-14	372	Blue Jackets	-	Flyers	-
74 - 2019-12-16	381	Avalanche	-	Blue Jackets	-
77 - 2019-12-19	397	Blue Jackets	-	Islanders	-
78 - 2019-12-20	404	Oilers	-	Blue Jackets	-
81 - 2019-12-23	418	Blue Jackets	-	Kings	-
83 - 2019-12-25	430	Blackhawks	-	Blue Jackets	-
85 - 2019-12-27	442	Blue Jackets	-	Flames	-
87 - 2019-12-29	449	Blue Jackets	-	Islanders	-
88 - 2019-12-30	456	Stars	-	Blue Jackets	-
91 - 2020-01-02	475	Blue Jackets	-	Maple Leafs	-
92 - 2020-01-03	479	Lightning	-	Blue Jackets	-
95 - 2020-01-06	499	Sharks	-	Blue Jackets	-
97 - 2020-01-08	510	Blue Jackets	-	Bruins	-
99 - 2020-01-10	520	Blue Jackets	-	Oilers	-
101 - 2020-01-12	528	Flames	-	Blue Jackets	-
102 - 2020-01-13	537	Blue Jackets	-	Lightning	-
104 - 2020-01-15	552	Bruins	-	Blue Jackets	-
107 - 2020-01-18	565	Blue Jackets	-	Senateurs	-
109 - 2020-01-20	574	Blue Jackets	-	Ducks	-
110 - 2020-01-21	577	Predateurs	-	Blue Jackets	-
114 - 2020-01-25	599	Blue Jackets	-	Flyers	-
115 - 2020-01-26	603	Blues	-	Blue Jackets	-
118 - 2020-01-29	622	Blue Jackets	-	Capitals	-
119 - 2020-01-30	625	Ducks	-	Blue Jackets	-
123 - 2020-02-03	648	Panthers	-	Blue Jackets	-
125 - 2020-02-05	663	Blue Jackets	-	Sharks	-
127 - 2020-02-07	672	Kings	-	Blue Jackets	-
129 - 2020-02-09	684	Blue Jackets	-	Penguins	-
131 - 2020-02-11	694	Blue Jackets	-	Capitals	-
132 - 2020-02-12	696	Canadiens	-	Blue Jackets	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
135 - 2020-02-15	712	Blue Jackets	-	Devils	-
136 - 2020-02-16	720	Panthers	-	Blue Jackets	-
139 - 2020-02-19	730	Blue Jackets	-	Panthers	-
141 - 2020-02-21	744	Islanders	-	Blue Jackets	-
143 - 2020-02-23	755	Blue Jackets	-	Devils	-
146 - 2020-02-26	768	Ducks	-	Blue Jackets	-
148 - 2020-02-28	781	Blue Jackets	-	Bruins	-
150 - 2020-03-01	792	Canadiens	-	Blue Jackets	-
152 - 2020-03-03	801	Blue Jackets	-	Penguins	-
154 - 2020-03-05	815	Blue Jackets	-	Predateurs	-
155 - 2020-03-06	816	Maple Leafs	-	Blue Jackets	-
160 - 2020-03-11	840	Bruins	-	Blue Jackets	-
164 - 2020-03-15	864	Devils	-	Blue Jackets	-
168 - 2020-03-19	887	Devils	-	Blue Jackets	-
169 - 2020-03-20	890	Blue Jackets	-	Golden Knights	-
173 - 2020-03-24	911	Senateurs	-	Blue Jackets	-
177 - 2020-03-28	936	Flyers	-	Blue Jackets	-
179 - 2020-03-30	942	Blue Jackets	-	Canadiens	-
184 - 2020-04-04	959	Flyers	-	Blue Jackets	-
188 - 2020-04-08	984	Senateurs	-	Blue Jackets	-

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	87,764	70,946	29,276	57,843	14,213
Attendance PCT	97.52%	94.59%	97.59%	96.41%	94.75%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
26	17336 - 96.31%	1,663,415$	24,951,232$	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
33,708,550$	86,106,476$	86,106,477$	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
86,106,476$	32,292,313$	0$	24	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
43,248,802$	118	475,537$	56,113,366$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
57,443,566$	86,106,476$	22,802,655$	8,607,891$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Claude Giroux	AGE:29	PO:64	OV:86
Jonathan Drouin	AGE:22	PO:86	OV:79
Thomas Vanek	AGE:33	PO:56	OV:77
Jakub Vrana	AGE:21	PO:84	OV:76
Blake Coleman	AGE:25	PO:54	OV:75
Jordan Greenway	AGE:20	PO:72	OV:74
Derick Brassard	AGE:30	PO:54	OV:74
Brandon Tanev	AGE:25	PO:36	OV:73
A.J. Greer	AGE:20	PO:75	OV:63

Claude Giroux	AGE:29	PO:64	OV:86
Sean Monahan	AGE:22	PO:85	OV:83
Ryan Johansen	AGE:25	PO:76	OV:80
Phillip Danault	AGE:24	PO:76	OV:76
Blake Coleman	AGE:25	PO:54	OV:75
Derick Brassard	AGE:30	PO:54	OV:74
Scott Laughton	AGE:23	PO:79	OV:71
Riley Sheahan	AGE:25	PO:68	OV:70
Joel Eriksson Ek	AGE:20	PO:82	OV:68
Joseph Blandisi	AGE:23	PO:54	OV:65

Claude Giroux	AGE:29	PO:64	OV:86
Justin Williams	AGE:35	PO:36	OV:81
Jonathan Drouin	AGE:22	PO:86	OV:79
Michael Frolik	AGE:29	PO:67	OV:78
Thomas Vanek	AGE:33	PO:56	OV:77
Jakub Vrana	AGE:21	PO:84	OV:76
Jordan Eberle	AGE:27	PO:66	OV:76
Blake Coleman	AGE:25	PO:54	OV:75
Jordan Greenway	AGE:20	PO:72	OV:74
Derick Brassard	AGE:30	PO:54	OV:74
Brandon Tanev	AGE:25	PO:36	OV:73
Denis Gurianov	AGE:20	PO:85	OV:69
Sven Andrighetto	AGE:24	PO:58	OV:65
Julien Gauthier	AGE:19	PO:73	OV:63
Nicholas Baptiste	AGE:22	PO:65	OV:61

Défense #1

Défense #2

Gardien

Brett Pesce	AGE:22	PO:64	OV:78
Travis Hamonic	AGE:27	PO:57	OV:78
Dmitry Orlov	AGE:26	PO:58	OV:77
Dan Girardi	AGE:33	PO:25	OV:77
Brady Skjei	AGE:23	PO:77	OV:76
Roman Polak	AGE:31	PO:29	OV:76

Charlie McAvoy	AGE:19	PO:84	OV:75
Ben Harpur	AGE:22	PO:59	OV:69
Karl Alzner	AGE:29	PO:68	OV:68
Timothy Liljegren	AGE:18	PO:83	OV:64
Brendan Guhle	AGE:20	PO:72	OV:63
Jakub Zboril	AGE:20	PO:85	OV:62

Frederik Andersen	AGE:27	PO:51	OV:87
Anton Khudobin	AGE:31	PO:29	OV:84
Cam Talbot	AGE:30	PO:30	OV:80

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
Daniel Brickley	Blue Jackets	2018	98
Jakub Jerabek	Blue Jackets
Kari Lehtonen	Blue Jackets
Kirill Marchemko	Blue Jackets	2018	33

Choix au Repêchage

Année	R1	R2	R3	R4	R5
4			CLB	CLB	CLB
5	CLB	CLB	CLB	CLB	CLB
6			CLB	CLB	LA. CLB
7	CLB	CLB	CLB	CLB	CLB
8	CLB	CLB	CLB	CLB	CLB

[2019-11-24 19:56:24] - New Record for Team's Most Shots (48) in 1 Game for Blue Jackets!
[2019-11-24 19:56:24] - New Record for Team's Most Assists (12) in 1 Game for Blue Jackets!
[2019-11-12 21:09:15] - New Record for Team's Most Shots Blocked (23) in 1 Game for Blue Jackets!
[2019-09-26 21:06:25] - TRADE : From Stars to Blue Jackets : Jakub Zboril (62).
[2019-09-26 21:06:25] - TRADE : From Blue Jackets to Stars : Miles Wood (72).
[2019-09-25 21:59:38] - Cam Talbot was added to Blue Jackets.
[2019-09-25 09:54:01] - Monsters hired Bob Murray for 800 000 $ for 3 year(s).
[2019-09-24 22:05:09] - Blue Jackets hired Ken Hitchcock for 3 770 000 $ for 3 year(s).
[2019-09-24 20:57:45] - Derick Brassard was added to Blue Jackets.
[2019-09-24 20:57:22] - Roman Polak was added to Blue Jackets.
[2019-09-24 20:57:14] - Anton Khudobin was added to Blue Jackets.
[2019-09-22 21:27:42] - Justin Williams was added to Blue Jackets.
[2019-09-22 21:27:34] - Thomas Vanek was added to Blue Jackets.
[2019-09-20 21:39:53] - Dan Girardi was added to Blue Jackets.
[2019-09-20 21:39:42] - Michael Frolik was added to Blue Jackets.
[2019-09-16 21:53:25] - Brooks Orpik was released.
[2019-09-06 20:51:15] - Jakub Jerabek has been added to Blue Jackets.
[2019-09-06 20:50:46] - Jakub Jerabek retired from Blue Jackets
[2019-08-28 14:39:48] - TRADE : From Oilers to Blue Jackets : Karl Alzner (69).
[2019-08-28 14:39:48] - TRADE : From Blue Jackets to Oilers : Nikita Zaitsev (74).
[2019-07-04 23:32:13] - TRADE : From Blue Jackets to Devils : Y:3-RND:3-CLB, Y:3-RND:4-CLB, Y:3-RND:5-CLB.
[2019-07-04 23:32:13] - TRADE : From Devils to Blue Jackets : Joel Eriksson Ek (68), Daniel Brickley (P).
[2019-06-03 19:56:13] - TRADE : From Kings to Blue Jackets : Travis Hamonic (78), Y:6-RND:5-LA..
[2019-06-03 19:56:13] - TRADE : From Blue Jackets to Kings : Andre Burakovsky (71), Mike Matheson (74), Y:6-RND:2-CLB.
[2019-06-01 22:02:56] - TRADE : From Oilers to Blue Jackets : Jonathan Drouin (78).
[2019-06-01 22:02:56] - TRADE : From Blue Jackets to Oilers : Liam Foudy (P), Y:4-RND:1-CLB, Y:6-RND:1-CLB.
[2019-05-30 20:10:41] - TRADE : From Panthers to Blue Jackets : Blake Coleman (75), Ryan Johansen (80).
[2019-05-30 20:10:41] - TRADE : From Blue Jackets to Panthers : Patrik Nemeth (75), Kevin Bahl (P), Y:3-RND:1-CLB, Y:3-RND:2-CLB, Y:4-RND:2-CLB.
[2019-05-30 20:09:28] - TRADE : From Oilers to Blue Jackets : Miles Wood (72).
[2019-05-30 20:09:28] - TRADE : From Blue Jackets to Oilers : Alexander Wennberg (70), Vladimir Sobotka (69).
[2019-05-29 23:01:06] - Jordan Greenway has been deleted from Blue Jackets.
[2019-05-29 23:00:57] - Jordan Greenway was added to Blue Jackets.
[2019-05-27 20:01:20] - TRADE : From Lightning to Blue Jackets : Phillip Danault (72).
[2019-05-27 20:01:20] - TRADE : From Blue Jackets to Lightning : Robin Lehner (81).
[2019-05-26 21:53:43] - Lindy Ruff contract with Blue Jackets has ended.
[2019-05-26 21:53:43] - Bill Peeters contract with Monsters has ended.
[2019-05-19 23:04:06] - Blue Jackets was eliminated at round 3 of year 2.
[2019-04-03 21:21:12] - Monsters didn't make playoff for year 2.
[2019-02-15 21:18:10] - Charlie McAvoy has been selected as assistant for Blue Jackets.
[2019-02-15 21:18:10] - Unknown Player is no longer as assistant for Blue Jackets.
[2019-02-15 21:18:10] - Claude Giroux has been selected as captain for Blue Jackets.
[2019-02-15 21:18:10] - Unknown Player is no longer captain for Blue Jackets.
[2019-02-15 20:39:04] - General Manager Change : Blue Jackets hired general manager Mick St-Amour
[2019-02-15 20:39:04] - General Manager Change : Blue Jackets fired general manager Phil Simard

[2019-12-12 18:18:14] Auto Lines Function has been run for Blue Jackets.
[2019-12-12 18:18:14] Auto Roster Partial Function has been run for Blue Jackets.
[2019-12-10 12:35:31] Anton Khudobin from Blue Jackets is back from Exhaustion.
[2019-12-09 21:39:25] A.J. Greer from Monsters is back from Exhaustion.
[2019-12-09 21:39:24] Anton Khudobin from Blue Jackets injured (Exhaustion)
[2019-12-09 00:19:45] A.J. Greer from Monsters has scored a Hat Trick!
[2019-12-09 00:19:45] A.J. Greer from Monsters is injured from Exhaustion.
[2019-12-04 13:03:40] Ben Harpur from Monsters is back from Exhaustion.
[2019-12-03 20:35:27] Ben Harpur from Monsters is injured from Exhaustion.
[2019-12-03 20:35:27] Denis Gurianov from Monsters has scored a Hat Trick!
[2019-12-03 20:35:27] A.J. Greer from Monsters has scored a Hat Trick!
[2019-11-29 14:07:57] Sven Andrighetto from Monsters has scored a Hat Trick!

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
3	32	18	7	0	0	0	2	5	104	93	11	15	10	3	0	0	0	0	2	47	37	10	17	8	4	0	0	0	2	3	57	56	1	45	104	169	273	1	1	19	42	41	4	1120	326	452	341	20	1065	380	297	596	119	32	26.89%	145	29	80.00%	1	404	805	50.19%	461	866	53.23%	230	466	49.36%	698	403	693	298	563	276
Total Saison Régulière	32	18	7	0	0	0	2	5	104	93	11	15	10	3	0	0	0	0	2	47	37	10	17	8	4	0	0	0	2	3	57	56	1	45	104	169	273	1	1	19	42	41	4	1120	326	452	341	20	1065	380	297	596	119	32	26.89%	145	29	80.00%	1	404	805	50.19%	461	866	53.23%	230	466	49.36%	698	403	693	298	563	276
Séries
2	18	9	9	0	0	0	0	0	42	49	-7	9	5	4	0	0	0	0	0	18	18	0	9	4	5	0	0	0	0	0	24	31	-7	18	42	67	109	1	0	7	17	15	3	630	206	200	205	19	594	188	146	321	72	13	18.06%	74	12	83.78%	2	252	501	50.30%	260	459	56.64%	128	259	49.42%	394	218	400	173	334	167
Total Séries	18	9	9	0	0	0	0	0	42	49	-7	9	5	4	0	0	0	0	0	18	18	0	9	4	5	0	0	0	0	0	24	31	-7	18	42	67	109	1	0	7	17	15	3	630	206	200	205	19	594	188	146	321	72	13	18.06%	74	12	83.78%	2	252	501	50.30%	260	459	56.64%	128	259	49.42%	394	218	400	173	334	167