PIFFPACK - Blue Jackets

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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	53	86	0
2	Sean Monahan	X				100.00	57	36	90	82	80	85	91	80	82	84	83	62	81	69	70	85	53	83	0
3	Justin Williams			X		100.00	62	40	78	74	75	83	95	73	68	75	74	74	72	88	90	36	53	81	0
4	Ryan Johansen	X				100.00	77	40	78	75	87	85	93	74	86	84	67	72	67	73	75	76	53	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	53	79	0
6	Michael Frolik			X		100.00	68	39	82	72	75	74	78	72	55	72	73	68	73	79	75	67	53	77	0
7	Thomas Vanek		X	X		100.00	59	39	82	72	83	80	78	71	53	73	73	56	74	85	76	56	53	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	53	76	0
9	Jordan Eberle			X		100.00	57	42	88	76	71	81	91	74	53	70	72	58	73	77	74	66	53	76	0
10	Phillip Danault	X				99.00	76	45	80	73	77	86	94	72	86	79	67	88	68	71	69	76	53	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	53	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	49	73	0
13	Brett Pesce				X	97.00	63	38	85	70	85	86	87	69	30	76	66	93	58	69	67	64	53	78	0
14	Dmitry Orlov				X	100.00	82	43	84	77	79	87	95	74	30	77	56	79	64	75	68	58	53	77	0
15	Travis Hamonic				X	98.00	62	45	80	66	81	87	82	65	30	72	67	95	56	77	70	57	53	77	0
16	Brady Skjei				X	100.00	87	41	77	69	86	87	91	68	30	73	67	79	55	69	66	77	53	76	0
17	Dan Girardi				X	100.00	88	37	89	65	80	83	75	64	30	72	61	84	52	85	75	25	53	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	53	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	47	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	43	74	0
3	Roman Polak				X	100.00	89	49	68	61	88	85	90	59	30	67	53	85	46	82	73	29	43	76	0

	MOYENNE D'ÉQUIPE					99.67	73	42	81	73	79	82	88	72	55	74	69	75	67	75	72	62	52	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	98.00	91	95	93	92	90	89	91	90	89	91	90	78	84	51	53	87	0
2	Anton Khudobin	100.00	90	87	85	72	89	88	90	89	88	90	89	82	87	29	53	84	0
Rayé
1	Cam Talbot	100.00	84	83	81	86	83	82	84	83	82	84	83	80	86	30	43	81	0

	MOYENNE D'ÉQUIPE	99.33	88	88	86	83	87	86	88	87	86	88	87	80	86	37	50	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSG	PSS	S1	S2	S3
1	Claude Giroux	Blue Jackets	C/LW/RW	7	2	6	8	-8	8	6	9	31	14	15	6.45%	3	157	22.45	2	4	6	4	23	0	13	0	0	54.05%	74	4	2	1.02	1	2	0	0	0
2	Sean Monahan	Blue Jackets	C	7	4	3	7	-7	6	4	10	36	9	18	11.11%	5	135	19.31	3	2	5	7	23	0	0	0	0	47.95%	171	2	0	1.04	2	2	0	0	0
3	Jonathan Drouin	Blue Jackets	LW/RW	7	0	5	5	-1	0	6	7	17	7	10	0.00%	0	112	16.08	0	4	4	1	23	0	0	0	0	20.00%	5	7	0	0.89	0	0	0	0	0
4	Jakub Vrana	Blue Jackets	LW/RW	7	1	3	4	1	0	8	4	18	5	17	5.56%	1	81	11.68	0	0	0	0	0	0	3	0	0	50.00%	2	2	0	0.98	0	0	0	0	0
5	Michael Frolik	Blue Jackets	RW	7	2	2	4	1	4	4	8	12	2	8	16.67%	0	89	12.84	2	0	2	2	17	0	0	0	0	0.00%	3	2	1	0.89	0	0	0	0	0
6	Ryan Johansen	Blue Jackets	C	7	2	2	4	0	2	10	6	11	7	8	18.18%	2	117	16.72	2	1	3	2	17	0	12	0	0	56.96%	79	6	1	0.68	0	0	0	1	0
7	Thomas Vanek	Blue Jackets	LW/RW	7	1	3	4	0	0	4	6	8	3	3	12.50%	2	102	14.69	0	3	3	2	17	0	0	1	0	75.00%	4	1	1	0.78	0	0	1	0	0
8	Jordan Eberle	Blue Jackets	RW	7	2	1	3	2	0	2	5	13	4	16	15.38%	1	65	9.29	0	0	0	0	0	0	11	0	0	50.00%	6	4	4	0.92	0	0	1	0	1
9	Phillip Danault	Blue Jackets	C	7	2	1	3	1	2	13	7	19	2	5	10.53%	2	92	13.23	0	0	0	0	0	0	11	1	0	47.54%	61	1	3	0.65	0	0	0	1	1
10	Brett Pesce	Blue Jackets	D	7	1	1	2	-5	6	14	15	6	1	2	16.67%	15	199	28.51	1	0	1	1	24	0	25	0	0	0.00%	0	3	9	0.20	0	0	0	0	0
11	Dan Girardi	Blue Jackets	D	7	0	2	2	0	0	8	8	5	5	6	0.00%	6	141	20.17	0	1	1	0	16	0	20	0	0	0.00%	0	0	2	0.28	0	0	0	0	0
12	Justin Williams	Blue Jackets	RW	7	2	0	2	-7	6	9	7	15	2	3	13.33%	3	118	16.98	0	0	0	0	0	0	6	0	1	53.85%	13	2	2	0.34	0	2	0	0	0
13	Blake Coleman	Blue Jackets	C/LW/RW	7	1	0	1	3	6	7	8	8	6	8	12.50%	0	77	11.07	0	0	0	0	0	1	21	0	0	0.00%	8	1	1	0.26	0	0	0	0	0
14	Brady Skjei	Blue Jackets	D	7	0	1	1	0	4	7	6	2	1	2	0.00%	5	87	12.44	0	0	0	0	0	0	1	0	0	0.00%	0	1	1	0.23	0	0	0	0	1
15	Brandon Tanev	Blue Jackets	LW/RW	2	0	1	1	3	0	0	2	3	1	0	0.00%	0	27	13.69	0	0	0	0	0	0	11	0	0	0.00%	0	0	0	0.73	0	0	0	0	0
16	Charlie McAvoy	Blue Jackets	D	7	1	0	1	1	4	6	11	10	2	0	10.00%	6	88	12.65	0	0	0	0	0	0	6	1	0	0.00%	0	2	4	0.23	0	0	0	1	0
17	Derick Brassard	Blue Jackets	C/LW/RW	5	0	1	1	-1	2	2	6	5	2	3	0.00%	0	48	9.65	0	0	0	0	0	0	5	0	0	66.67%	18	0	0	0.41	0	0	0	0	0
18	Dmitry Orlov	Blue Jackets	D	7	0	1	1	0	0	6	6	11	3	2	0.00%	4	140	20.10	0	0	0	0	16	1	20	0	0	0.00%	0	1	3	0.14	0	0	0	0	0
19	Travis Hamonic	Blue Jackets	D	7	0	1	1	-7	12	7	15	13	5	3	0.00%	9	195	27.98	0	1	1	1	23	1	23	0	0	0.00%	0	3	6	0.10	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				126	21	34	55	-24	62	123	146	243	81	129	8.64%	64	2079	16.50	10	16	26	20	203	3	197	3	1	50.23%	444	42	40	0.53	3	6	2	3	3

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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	Frederik Andersen	Blue Jackets	7	4	2	1	0.901	3.08	429	0	0	22	222	103	2	1	0.500	6	7	0	0	0	1
Stats d'équipe Total ou en Moyenne			7	4	2	1	0.901	3.08	429	0	0	22	222	103	2	1	0.500	6	7	0	0	0	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
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$	695,079$	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$	1,657,143$	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$	4,833,333$	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$	3,222,222$	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$	3,705,556$	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$	690,476$	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$	4,511,111$	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$	7,618,254$	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$	736,508$	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$	920,635$	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$	4,695,238$	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$	4,603,175$	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$	3,084,127$	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$	5,063,492$	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$	5,063,492$	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$	690,476$	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$	2,872,381$	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$	2,454,413$	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$	2,838,624$	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$	1,611,111$	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$	7,365,079$	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$	5,869,048$	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$	920,635$	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$	3,551,021$	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	Justin Williams	40	1	2	2
2	Thomas Vanek	Ryan Johansen	Jonathan Drouin	30	1	2	2
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	Dmitry Orlov	Dan Girardi	30	1	2	2
3	Brady Skjei	Charlie McAvoy	20	1	2	2
4	Brett Pesce	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	Michael Frolik	40	1	2	2

Défense en Avantage 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

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	Brett Pesce	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	Brett Pesce	Travis Hamonic	60	1	2	2
2	Dmitry Orlov	Dan Girardi	40	1	2	2

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

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jonathan Drouin	Claude Giroux	Justin Williams	Brett Pesce	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 : Frederik Andersen, #2 : Anton Khudobin

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	Capitals	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	4	7	0	0	1	1	1	0	30	5	15	10	0	20	7	10	15	6	0	0.00%	5	1	80.00%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	22	12	18	10	18	9
2	Devils	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	5	4	1	2	1.000	5	6	11	0	0	1	2	1	2	33	7	15	11	3	40	13	14	20	5	4	80.00%	7	1	85.71%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	21	11	24	10	19	8
3	Flyers	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	6	9	0	0	0	1	2	0	36	6	11	19	0	35	8	6	18	4	1	25.00%	3	0	100.00%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	23	14	18	7	17	8
4	Islanders	3	0	2	0	0	0	0	1	6	13	-7	2	0	1	0	0	0	0	1	4	7	-3	1	0	1	0	0	0	0	0	2	6	-4	1	0.167	6	10	16	1	0	1	4	1	1	117	33	56	27	4	91	27	22	53	10	3	30.00%	11	4	63.64%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	65	37	63	28	56	27
5	Penguins	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	8	13	0	0	2	0	3	0	27	12	6	9	0	37	9	10	17	5	2	40.00%	5	1	80.00%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	20	10	21	9	18	9
	Total	7	3	2	0	0	0	1	1	22	24	-2	3	1	1	0	0	0	0	1	7	8	-1	4	2	1	0	0	0	1	0	15	16	-1	9	0.643	22	34	56	1	0	5	8	8	3	243	63	103	76	7	223	64	62	123	30	10	33.33%	31	7	77.42%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	153	86	146	66	129	64
	_Since Last GM Reset	7	3	2	0	0	0	1	1	22	24	-2	3	1	1	0	0	0	0	1	7	8	-1	4	2	1	0	0	0	1	0	15	16	-1	9	0.643	22	34	56	1	0	5	8	8	3	243	63	103	76	7	223	64	62	123	30	10	33.33%	31	7	77.42%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	153	86	146	66	129	64
	_Vs Conference	7	3	2	0	0	0	1	1	22	24	-2	3	1	1	0	0	0	0	1	7	8	-1	4	2	1	0	0	0	1	0	15	16	-1	9	0.643	22	34	56	1	0	5	8	8	3	243	63	103	76	7	223	64	62	123	30	10	33.33%	31	7	77.42%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	153	86	146	66	129	64
	_Vs Division	7	3	2	0	0	0	1	1	22	24	-2	3	1	1	0	0	0	0	1	7	8	-1	4	2	1	0	0	0	1	0	15	16	-1	9	0.643	22	34	56	1	0	5	8	8	3	243	63	103	76	7	223	64	62	123	30	10	33.33%	31	7	77.42%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	153	86	146	66	129	64

			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
7	9	SOW1	22	34	56	243	223	64	62	123	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	2	0	0	1	1	22	24

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	1	0	0	0	1	7	8

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	0	1	0	15	16

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	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
30	10	33.33%	31	7	77.42%	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
63	103	76	7	5	8	8	3

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
99	180	55.00%	82	158	51.90%	42	100	42.00%

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
153	86	146	66	129	64

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	-	Blue Jackets	-
19 - 2019-10-22	97	Blue Jackets	-	Maple Leafs	-
23 - 2019-10-26	114	Blue Jackets	-	Islanders	-
24 - 2019-10-27	120	Devils	-	Blue Jackets	-
26 - 2019-10-29	130	Blue Jackets	-	Penguins	-
27 - 2019-10-30	135	Blue Jackets	-	Capitals	-
28 - 2019-10-31	144	Penguins	-	Blue Jackets	-
31 - 2019-11-03	167	Islanders	-	Blue Jackets	-
34 - 2019-11-06	183	Capitals	-	Blue Jackets	-
37 - 2019-11-09	197	Capitals	-	Blue Jackets	-
40 - 2019-11-12	210	Blue Jackets	-	Panthers	-
42 - 2019-11-14	217	Blue Jackets	-	Canadiens	-
44 - 2019-11-16	227	Blue Jackets	-	Senateurs	-
46 - 2019-11-18	235	Blue Jackets	-	Avalanche	-
47 - 2019-11-19	240	Penguins	-	Blue Jackets	-
50 - 2019-11-22	256	Blue Jackets	-	Jets	-
52 - 2019-11-24	263	Jets	-	Blue Jackets	-
54 - 2019-11-26	274	Blue Jackets	-	Lightning	-
56 - 2019-11-28	286	Lightning	-	Blue Jackets	-
58 - 2019-11-30	298	Blue Jackets	-	Blackhawks	-
60 - 2019-12-02	310	Maple Leafs	-	Blue Jackets	-
62 - 2019-12-04	316	Blue Jackets	-	Stars	-
65 - 2019-12-07	334	Golden Knights	-	Blue Jackets	-
67 - 2019-12-09	347	Blue Jackets	-	Blues	-
70 - 2019-12-12	359	Penguins	-	Blue Jackets	-
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	17,195	13,721	5,763	11,174	2,895
Attendance PCT	95.53%	91.47%	96.05%	93.12%	96.50%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
38	16916 - 93.98%	1,633,276$	4,899,828$	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
7,133,055$	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$	6,833,850$	0$	24	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
62,064,488$	174	475,537$	82,743,438$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
84,763,390$	86,106,476$	29,956,892$	7,257,990$

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

[2019-09-26 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

[2019-10-14 21:49:20] Denis Gurianov from Monsters has scored a Hat Trick!
[2019-10-13 20:51:48] Joel Eriksson Ek from Monsters is back from Sports Hernia Injury.
[2019-10-12 20:21:22] Successfully loaded Blue Jackets lines done with STHS Client - 3.1.5.5
[2019-10-06 11:05:38] Scott Laughton from Monsters has scored a Hat Trick!
[2019-10-06 11:05:38] Game 15 - Joel Eriksson Ek from Monsters is injured (Sports Hernia) and is out for 2 weeks.
[2019-10-04 21:22:02] Scott Laughton from Monsters has scored a Hat Trick!
[2019-10-04 21:22:02] A.J. Greer from Monsters has scored a Hat Trick!
[2019-10-04 21:08:01] Successfully loaded Blue Jackets lines done with STHS Client - 3.1.5.5
[2019-10-04 20:56:16] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:16] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:15] Last 7 Days Farm Star : 1 - Riley Sheahan of Monsters (4-3-7) / 2 - Sean Kuraly of Marlies (3-5-8) / 3 - Zack Kassian of Marlies (4-1-5)
[2019-10-04 20:56:14] Both Blue Jackets and Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:12] Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:11] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Monsters lines for next game are empty. Current rosters/lines are not erased.

Pas de Blessure ou de Suspension.

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	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	7	3	2	0	0	0	1	1	22	24	-2	3	1	1	0	0	0	0	1	7	8	-1	4	2	1	0	0	0	1	0	15	16	-1	9	22	34	56	1	0	5	8	8	3	243	63	103	76	7	223	64	62	123	30	10	33.33%	31	7	77.42%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	153	86	146	66	129	64
Total Saison Régulière	7	3	2	0	0	0	1	1	22	24	-2	3	1	1	0	0	0	0	1	7	8	-1	4	2	1	0	0	0	1	0	15	16	-1	9	22	34	56	1	0	5	8	8	3	243	63	103	76	7	223	64	62	123	30	10	33.33%	31	7	77.42%	0	99	180	55.00%	82	158	51.90%	42	100	42.00%	153	86	146	66	129	64
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