LHSIR - 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	Christian Dvorak	X				100.00	67	42	94	86	71	74	64	82	95	74	77	62	75	64	64	74	68	0	0
2	Evander Kane		X			100.00	86	88	50	85	80	81	87	81	63	76	88	72	38	77	79	81	68	0	0
3	Gustav Nyquist			X		100.00	65	41	92	84	66	78	93	79	49	79	72	69	62	73	76	75	68	0	0
4	Jamie Benn (C)	X	X			100.00	89	76	78	82	78	73	91	80	81	74	79	64	61	79	81	77	67	0	0
5	Jordan Eberle (A)			X		100.00	67	42	92	84	67	77	85	83	34	80	79	55	69	76	77	76	68	0	0
6	Marcus Johansson	X	X			100.00	69	43	89	82	75	75	76	78	71	77	68	68	25	75	80	72	68	0	0
7	Joel Eriksson Ek	X	X	X		100.00	80	45	89	82	76	70	82	59	81	77	64	83	25	61	62	73	68	0	0
8	Nazem Kadri (A)	X	X			100.00	77	84	50	83	72	76	79	94	98	79	86	60	45	72	73	79	66	0	0
9	Roope Hintz	X	X	X		100.00	77	44	91	87	77	68	87	74	70	68	83	61	25	58	59	77	68	0	0
10	Tanner Pearson		X			100.00	79	54	88	80	74	74	92	72	30	77	81	74	45	68	70	79	66	0	0
11	Pavel Zacha	X	X			100.00	75	44	92	82	79	73	82	72	76	78	62	81	63	62	63	73	50	0	0
12	Charlie McAvoy				X	100.00	85	55	82	91	75	87	78	70	25	69	49	83	25	64	67	69	70	0	0
13	Jake Muzzin				X	100.00	86	46	79	80	79	83	84	63	25	65	51	89	25	73	76	68	67	0	0
14	Vladislav Gavrikov (R)				X	100.00	76	44	91	78	77	76	82	62	25	54	49	83	25	52	52	65	69	0	0
15	Riley Stillman				X	100.00	82	85	87	69	73	77	77	59	25	51	47	87	25	47	47	63	70	0	0
16	Ben Hutton				X	100.00	71	43	92	81	76	75	84	63	25	53	48	79	25	67	67	64	68	0	0
17	Nikita Zaitsev				X	100.00	84	45	88	80	73	85	87	57	25	54	47	93	25	63	64	65	68	0	0
Rayé
1	Elias Lindholm	X		X		100.00	78	44	90	86	71	81	93	83	83	78	88	77	41	72	73	83	68	0	0
2	Jonathan Drouin		X			100.00	73	43	84	89	73	70	71	81	36	78	80	57	63	66	68	75	54	0	0

	MOYENNE D'ÉQUIPE					100.00	77	53	84	83	74	76	83	73	54	71	68	74	41	67	68	73	66	0

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Tuukka Rask	100.00	93	77	76	79	99	87	90	92	94	93	91	73	77	90	63	0	0
2	Mackenzie Blackwood	100.00	84	79	75	90	84	84	70	85	85	84	90	54	54	81	68	0	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	89	78	76	85	92	86	80	89	90	89	91	64	66	86	66	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Tortorella	81	88	86	88	90	84	55	USA	63	1	4,000,000$

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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	P/20	FW	FL	FT	S1	S2	S3
1	Elias Lindholm	Blue Jackets	C/RW	9	1	10	11	7	0	0	6	34	39	15	34	2.56%	2	223	24.80	0	2	2	4	23	1	0	1	2	42	0	0	46.59%	352	0.99	0	0	0	1	0	0
2	Jamie Benn	Blue Jackets	C/LW	9	3	6	9	-1	4	0	19	8	30	3	14	10.00%	2	185	20.56	0	1	1	5	23	0	0	0	0	23	1	0	55.56%	9	0.97	0	0	0	1	1	0
3	Evander Kane	Blue Jackets	LW	9	4	3	7	7	15	5	38	16	39	14	25	10.26%	4	216	24.06	1	1	2	3	23	0	1	1	2	38	0	0	21.43%	14	0.65	0	0	1	2	0	2
4	Jordan Eberle	Blue Jackets	RW	9	3	3	6	6	0	0	2	7	14	11	16	21.43%	2	181	20.11	0	0	0	2	23	0	0	0	0	0	1	0	25.00%	4	0.66	0	0	0	0	0	0
5	Nazem Kadri	Blue Jackets	C/LW	9	2	4	6	-1	13	5	26	20	41	9	19	4.88%	2	176	19.65	1	0	1	7	21	0	0	0	0	17	0	0	53.22%	233	0.68	0	1	0	0	0	0
6	Nikita Zaitsev	Blue Jackets	D	9	0	6	6	0	18	0	30	7	8	4	6	0.00%	18	194	21.61	0	1	1	4	20	0	0	0	0	24	0	0	0.00%	0	0.62	0	0	0	0	2	0
7	Gustav Nyquist	Blue Jackets	RW	9	3	2	5	-1	0	0	1	6	24	6	13	12.50%	3	163	18.12	0	0	0	3	23	0	0	0	0	0	0	1	30.77%	13	0.61	0	0	0	1	0	0
8	Jake Muzzin	Blue Jackets	D	9	3	2	5	4	14	0	24	13	12	6	6	25.00%	18	239	26.58	1	0	1	4	26	0	0	0	1	29	0	0	0.00%	0	0.42	0	0	0	0	0	0
9	Charlie McAvoy	Blue Jackets	D	9	0	4	4	4	13	5	22	10	11	7	10	0.00%	13	238	26.53	0	1	1	6	26	0	0	0	0	31	0	0	0.00%	0	0.34	1	0	0	0	0	0
10	Christian Dvorak	Blue Jackets	C	9	2	1	3	1	0	0	1	14	12	4	5	16.67%	1	76	8.52	0	0	0	0	0	0	0	0	1	9	1	0	59.76%	82	0.78	0	0	0	0	0	0
11	Joel Eriksson Ek	Blue Jackets	C/LW/RW	9	0	3	3	0	2	0	5	3	5	1	4	0.00%	1	57	6.41	0	0	0	1	0	0	0	0	0	0	0	0	40.00%	5	1.04	0	0	0	0	0	0
12	Ben Hutton	Blue Jackets	D	9	2	1	3	0	2	0	7	8	12	3	3	16.67%	15	201	22.36	0	0	0	4	20	0	0	0	0	30	1	0	0.00%	0	0.30	0	0	0	0	0	1
13	Vladislav Gavrikov	Blue Jackets	D	9	1	1	2	-2	4	0	9	5	10	1	5	10.00%	11	149	16.66	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	0.27	0	0	0	0	0	0
14	Jonathan Drouin	Blue Jackets	LW	2	1	0	1	0	0	0	5	2	1	0	1	100.00%	2	37	18.96	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	2	0.53	0	0	0	0	0	0
15	Marcus Johansson	Blue Jackets	C/LW	9	0	1	1	-5	0	0	6	14	12	4	13	0.00%	1	118	13.14	0	0	0	0	0	0	0	0	0	3	0	0	42.65%	136	0.17	0	0	0	0	0	0
16	Riley Stillman	Blue Jackets	D	7	0	1	1	0	4	0	13	5	3	1	3	0.00%	13	126	18.05	0	0	0	0	0	0	0	0	0	14	0	0	0.00%	0	0.16	0	0	0	0	0	0
17	Roope Hintz	Blue Jackets	C/LW/RW	9	1	0	1	-4	2	0	17	4	17	3	13	5.88%	0	123	13.74	0	0	0	0	0	0	0	0	0	0	0	0	25.00%	4	0.16	0	0	0	0	0	0
18	Tanner Pearson	Blue Jackets	LW	9	0	0	0	-4	7	5	13	13	20	8	12	0.00%	3	127	14.14	0	0	0	0	1	0	0	0	0	0	0	0	28.57%	7	0.00	0	0	1	0	0	0
19	Pavel Zacha	Blue Jackets	C/LW	9	0	0	0	-2	0	0	2	4	2	3	8	0.00%	1	51	5.74	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				162	26	48	74	9	98	20	246	193	312	103	210	8.33%	112	2888	17.83	3	6	9	43	236	1	1	2	6	269	4	1	47.97%	863	0.51	1	1	2	5	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	GA	SA	ST	BG	S2
1	Tuukka Rask	Blue Jackets	8	4	3	1	0.906	3.02	517	26	276	8	1	2
2	Mackenzie Blackwood	Blue Jackets	2	0	1	0	0.917	3.29	73	4	48	1	8	0
Stats d'équipe Total ou en Moyenne			10	4	4	1	0.907	3.05	590	30	324	9	9	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	Type	Salaire Actuel	Salaire Moyen	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Ben Hutton	Blue Jackets	D	27	1993-04-20	No	207 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,725,002$	1,500,000$	1,725,002$	0$	No	1,500,000$	1,500,000$		Lien
Charlie McAvoy	Blue Jackets	D	22	1997-12-21	No	208 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,258,333$	1,258,333$	1,258,333$	0$	No	1,258,333$			Lien
Christian Dvorak	Blue Jackets	C	24	1996-02-02	No	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,106,667$	1,106,667$	1,106,667$	0$	No	1,106,667$			Lien
Elias Lindholm	Blue Jackets	C/RW	25	1994-12-02	No	192 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,700,000$	2,700,000$	2,700,000$	0$	No				Lien
Evander Kane	Blue Jackets	LW	28	1991-08-02	No	212 Lbs	6 ft2	No	No	No	2	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	0$	No	7,000,000$			Lien
Gustav Nyquist	Blue Jackets	RW	30	1989-08-31	No	184 Lbs	5 ft11	No	No	No	1	Pro & Farm	4,750,000$	4,750,000$	4,750,000$	0$	No				Lien
Jake Muzzin	Blue Jackets	D	31	1989-02-20	No	213 Lbs	6 ft3	No	No	No	3	Pro & Farm	5,250,000$	4,000,000$	5,250,000$	0$	No	4,000,000$	4,000,000$		Lien
Jamie Benn	Blue Jackets	C/LW	30	1989-07-18	No	209 Lbs	6 ft2	No	No	No	2	Pro & Farm	9,500,000$	9,500,000$	9,500,000$	0$	No	9,500,000$			Lien
Joel Eriksson Ek	Blue Jackets	C/LW/RW	23	1997-01-29	No	206 Lbs	6 ft2	No	No	No	2	Pro & Farm	894,167$	894,167$	894,167$	0$	No	894,167$			Lien
Jonathan Drouin	Blue Jackets	LW	25	1995-03-28	No	203 Lbs	6 ft0	No	No	No	4	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	0$	No	5,500,000$	5,500,000$	5,500,000$	Lien
Jordan Eberle	Blue Jackets	RW	30	1990-05-15	No	187 Lbs	5 ft11	No	No	No	2	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	0$	No	5,500,000$			Lien
Mackenzie Blackwood	Blue Jackets	G	23	1996-12-08	No	225 Lbs	6 ft4	No	No	No	4	Pro & Farm	913,333$	913,333$	913,333$	0$	No	913,333$	913,333$	913,333$	Lien
Marcus Johansson	Blue Jackets	C/LW	29	1990-10-06	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	4,583,333$	4,583,333$	4,583,333$	0$	No	4,583,333$			Lien
Nazem Kadri	Blue Jackets	C/LW	29	1990-10-06	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	0$	No	4,500,000$			Lien
Nikita Zaitsev	Blue Jackets	D	28	1991-10-29	No	195 Lbs	6 ft2	No	No	No	1	Pro Only	4,500,000$	4,500,000$	4,500,000$	0$	No				Lien
Pavel Zacha	Blue Jackets	C/LW	23	1997-04-06	No	210 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,744,167$	1,744,167$	1,744,167$	0$	No	1,744,167$			Lien
Riley Stillman	Blue Jackets	D	22	1998-03-08	No	190 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,038,888$	900,000$	1,038,888$	0$	No	900,000$	900,000$		Lien
Roope Hintz	Blue Jackets	C/LW/RW	23	1996-11-17	No	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	811,667$	811,667$	811,667$	0$	No	811,667$	811,667$		Lien
Tanner Pearson	Blue Jackets	LW	27	1992-08-09	No	201 Lbs	6 ft1	No	No	No	3	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	0$	No	3,750,000$	3,750,000$		Lien
Tuukka Rask	Blue Jackets	G	33	1987-03-10	No	194 Lbs	6 ft3	No	No	No	2	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	0$	No	7,000,000$			Lien
Vladislav Gavrikov	Blue Jackets	D	24	1995-11-21	Yes	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,350,000$	1,350,000$	1,350,000$	0$	No	1,350,000$	1,350,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	26.48	202 Lbs	6 ft1	2.33	3,589,312$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
75,375,557$	61,811,667$	18,725,000$	6,413,333$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Evander Kane		Jordan Eberle	35	1	2	2
2	Jamie Benn	Nazem Kadri	Gustav Nyquist	30	1	2	2
3	Tanner Pearson	Christian Dvorak	Roope Hintz	25	1	2	2
4	Pavel Zacha	Marcus Johansson	Joel Eriksson Ek	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Charlie McAvoy	Jake Muzzin	35	1	2	2
2	Nikita Zaitsev	Ben Hutton	30	1	2	2
3	Vladislav Gavrikov	Riley Stillman	25	1	2	2
4	Charlie McAvoy	Jake Muzzin	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Evander Kane		Jordan Eberle	60	1	2	2
2	Jamie Benn	Nazem Kadri	Gustav Nyquist	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Charlie McAvoy	Jake Muzzin	60	1	2	2
2	Nikita Zaitsev	Ben Hutton	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Evander Kane	60	1	2	2
2	Nazem Kadri	Jamie Benn	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Charlie McAvoy	Jake Muzzin	60	1	2	2
2	Nikita Zaitsev	Ben Hutton	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Charlie McAvoy	Jake Muzzin	60	1	2	2
2	Evander Kane	40	1	2	2	Nikita Zaitsev	Ben Hutton	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Evander Kane	60	1	2	2
2	Nazem Kadri	Jamie Benn	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Charlie McAvoy	Jake Muzzin	60	1	2	2
2	Nikita Zaitsev	Ben Hutton	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Evander Kane		Jordan Eberle	Charlie McAvoy	Jake Muzzin

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Evander Kane		Jordan Eberle	Charlie McAvoy	Jake Muzzin

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tanner Pearson, Marcus Johansson, Christian Dvorak	Tanner Pearson, Marcus Johansson	Christian Dvorak

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Vladislav Gavrikov, Riley Stillman, Nikita Zaitsev	Vladislav Gavrikov	Riley Stillman, Nikita Zaitsev

Tirs de Pénalité
, Evander Kane, Nazem Kadri, Jamie Benn, Jordan Eberle

Gardien
#1 : Tuukka Rask, #2 : Mackenzie Blackwood

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	4	1	3	0	0	0	0	0	12	16	-4	2	1	1	0	0	0	0	0	7	7	0	2	0	2	0	0	0	0	0	5	9	-4	2	0.250	12	24	36	0	0	6	2	4	0	144	51	31	50	12	176	64	46	111	8	0	0.00%	18	5	72.22%	0	160	345	46.38%	179	362	49.45%	75	156	48.08%	97	65	113	32	57	26
2	Senators	5	3	2	0	0	0	0	0	14	14	0	3	1	2	0	0	0	0	0	7	10	-3	2	2	0	0	0	0	0	0	7	4	3	6	0.600	14	24	38	0	0	2	8	2	2	168	50	61	48	9	148	48	52	135	17	3	17.65%	21	4	80.95%	1	160	345	46.38%	179	362	49.45%	75	156	48.08%	121	81	132	40	68	32
	Total	9	4	5	0	0	0	0	0	26	30	-4	5	2	3	0	0	0	0	0	14	17	-3	4	2	2	0	0	0	0	0	12	13	-1	8	0.444	26	48	74	0	0	8	10	6	2	312	101	92	98	21	324	112	98	246	25	3	12.00%	39	9	76.92%	1	160	345	46.38%	179	362	49.45%	75	156	48.08%	219	146	246	73	125	59
	_Since Last GM Reset	9	4	5	0	0	0	0	0	26	30	-4	5	2	3	0	0	0	0	0	14	17	-3	4	2	2	0	0	0	0	0	12	13	-1	8	0.444	26	48	74	0	0	8	10	6	2	312	101	92	98	21	324	112	98	246	25	3	12.00%	39	9	76.92%	1	160	345	46.38%	179	362	49.45%	75	156	48.08%	219	146	246	73	125	59
	_Vs Conference	9	4	5	0	0	0	0	0	26	30	-4	5	2	3	0	0	0	0	0	14	17	-3	4	2	2	0	0	0	0	0	12	13	-1	8	0.444	26	48	74	0	0	8	10	6	2	312	101	92	98	21	324	112	98	246	25	3	12.00%	39	9	76.92%	1	160	345	46.38%	179	362	49.45%	75	156	48.08%	219	146	246	73	125	59
	_Vs Division	5	3	2	0	0	0	0	0	14	14	0	3	1	2	0	0	0	0	0	7	10	-3	2	2	0	0	0	0	0	0	7	4	3	6	0.600	14	24	38	0	0	2	8	2	2	168	50	61	48	9	148	48	52	135	17	3	17.65%	21	4	80.95%	1	160	345	46.38%	179	362	49.45%	75	156	48.08%	121	81	132	40	68	32

			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
9	8	L2	26	48	74	312	324	112	98	246	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	4	5	0	0	0	0	26	30

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	14	17

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	12	13

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	4	0	1	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
25	3	12.00%	39	9	76.92%	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
101	92	98	21	8	10	6	2

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
160	345	46.38%	179	362	49.45%	75	156	48.08%

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
219	146	246	73	125	59

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	Lien
1 - 2020-06-22	1	Senators	3	Blue Jackets	2	L		Sommaire du Match
2 - 2020-06-23	5	Senators	4	Blue Jackets	1	L		Sommaire du Match
3 - 2020-06-24	9	Blue Jackets	4	Senators	3	W	X	Sommaire du Match
4 - 2020-06-25	13	Blue Jackets	3	Senators	1	W		Sommaire du Match
5 - 2020-06-26	17	Senators	3	Blue Jackets	4	W	X	Sommaire du Match
6 - 2020-06-27	21	Blackhawks	4	Blue Jackets	5	W		Sommaire du Match
7 - 2020-06-28	23	Blackhawks	3	Blue Jackets	2	L	X	Sommaire du Match
8 - 2020-06-29	25	Blue Jackets	2	Blackhawks	5	L		Sommaire du Match
9 - 2020-06-30	27	Blue Jackets	3	Blackhawks	4	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	120	70	45	35	300
Assistance	30,000	25,000	10,000	20,000	5,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	18000 - 100.00%	2,384,000$	11,920,000$	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
0$	75,375,557$	73,761,667$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	21	0

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

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	-46,949,662$	-46,949,662$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Evander Kane	AGE:28	PO:81	OV:0
Nazem Kadri	AGE:29	PO:79	OV:0
Tanner Pearson	AGE:27	PO:79	OV:0
Jamie Benn	AGE:30	PO:77	OV:0
Roope Hintz	AGE:23	PO:77	OV:0
Jonathan Drouin	AGE:25	PO:75	OV:0
Joel Eriksson Ek	AGE:23	PO:73	OV:0
Pavel Zacha	AGE:23	PO:73	OV:0
Marcus Johansson	AGE:29	PO:72	OV:0
Drake Caggiula	AGE:26	PO:71	OV:0
Sonny Milano	AGE:24	PO:67	OV:0
*Rasmus Asplund	AGE:22	PO:65	OV:0
*Tyler Benson	AGE:22	PO:64	OV:0
Charles Hudon	AGE:26	PO:62	OV:0
*Paul Bittner	AGE:23	PO:57	OV:0
*Connor Dewar	AGE:21	PO:57	OV:0

Elias Lindholm	AGE:25	PO:83	OV:0
Nazem Kadri	AGE:29	PO:79	OV:0
Jamie Benn	AGE:30	PO:77	OV:0
Roope Hintz	AGE:23	PO:77	OV:0
Christian Dvorak	AGE:24	PO:74	OV:0
Joel Eriksson Ek	AGE:23	PO:73	OV:0
Pavel Zacha	AGE:23	PO:73	OV:0
Marcus Johansson	AGE:29	PO:72	OV:0
Nicolas Roy	AGE:23	PO:69	OV:0
*Kevin Stenlund	AGE:23	PO:69	OV:0
*Rasmus Asplund	AGE:22	PO:65	OV:0
*Eric Cornel	AGE:24	PO:62	OV:0
Michael McCarron	AGE:25	PO:61	OV:0
*Pascal Laberge	AGE:22	PO:59	OV:0
*Connor Dewar	AGE:21	PO:57	OV:0
*Nick Moutrey	AGE:25	PO:56	OV:0
*Antoine Morand	AGE:21	PO:55	OV:0

Elias Lindholm	AGE:25	PO:83	OV:0
Roope Hintz	AGE:23	PO:77	OV:0
Jordan Eberle	AGE:30	PO:76	OV:0
Gustav Nyquist	AGE:30	PO:75	OV:0
Joel Eriksson Ek	AGE:23	PO:73	OV:0
Drake Caggiula	AGE:26	PO:71	OV:0
*Kevin Stenlund	AGE:23	PO:69	OV:0
Sonny Milano	AGE:24	PO:67	OV:0
*Rasmus Asplund	AGE:22	PO:65	OV:0
Charles Hudon	AGE:26	PO:62	OV:0
*Eric Cornel	AGE:24	PO:62	OV:0
Michael McCarron	AGE:25	PO:61	OV:0

Défense #1

Défense #2

Gardien

Charlie McAvoy	AGE:22	PO:69	OV:0
Jake Muzzin	AGE:31	PO:68	OV:0
*Vladislav Gavrikov	AGE:24	PO:65	OV:0
Nikita Zaitsev	AGE:28	PO:65	OV:0
Devon Toews	AGE:26	PO:65	OV:0
Ben Hutton	AGE:27	PO:64	OV:0
Brendan Guhle	AGE:22	PO:63	OV:0
Mirco Mueller	AGE:25	PO:63	OV:0

Riley Stillman	AGE:22	PO:63	OV:0
Mike Reilly	AGE:26	PO:63	OV:0
Slater Koekkoek	AGE:26	PO:62	OV:0
Markus Nutivaara	AGE:26	PO:60	OV:0
*Cale Fleury	AGE:21	PO:59	OV:0
Gabriel Carlsson	AGE:23	PO:56	OV:0
*Ryan Collins	AGE:24	PO:53	OV:0

Tuukka Rask	AGE:33	PO:90	OV:0
Mackenzie Blackwood	AGE:23	PO:81	OV:0
Oscar Dansk	AGE:26	PO:61	OV:0
Calvin Pickard	AGE:28	PO:56	OV:0
*Jakub Skarek	AGE:20	PO:50	OV:0

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
Albert Johansson	Blue Jackets	2019	83
Alexander Romanov	Blue Jackets	4	49
Axel Blomqvist	Blue Jackets
Blake Siebenaler	Blue Jackets
Bryce Mysley	Blue Jackets	3	82
Cole Fraser	Blue Jackets
Drew Helleson	Blue Jackets	2019	70
Jack Badini	Blue Jackets	3	106
Jack Drury	Blue Jackets	4	31
Jacob Golden	Blue Jackets	3	98
Jan Jenik	Blue Jackets	4	73
Jaromir Pytlik	Blue Jackets	2020	51
Jesse Ylonen	Blue Jackets	4	25
John Ludvig	Blue Jackets	2019	93
Julien Pelletier	Blue Jackets
Kaedan Korczak	Blue Jackets	2019	53
Luke Prokop	Blue Jackets	2020	95
Matthew Cairns	Blue Jackets	2	64
Mike Koster	Blue Jackets	2019	90
Oscar Lindberg	Blue Jackets
Ryan Jones	Blue Jackets	2	80
Sam Ruopp	Blue Jackets
Simon Kubicek	Blue Jackets	2020	73
Tyler Kleven	Blue Jackets	2020	29
Veeti Vainio	Blue Jackets
Zachary Lauzon	Blue Jackets	3	46

Choix au Repêchage

Année	R1	R2	R3	R4	R5
2021	CLB	CLB	CLB	CLB	CLB
2022	CLB	CLB	CLB	CLB	CLB
2023	CLB	CLB	CLB	CLB	CLB
2024	CLB	CLB	CLB	CLB	CLB
2025	CLB	CLB	CLB	CLB	CLB

[2020-07-02 10:11:54 AM] - Blue Jackets was eliminated at round 2 of year 2020.
[2020-06-22 9:08:13 AM] - Monsters didn't make playoff for year 2020.
[2020-06-03 1:30:45 PM] - Monsters hired Rick Tocchet for $1,500,000 for 3 year(s).
[2020-04-24 4:52:56 PM] - Brendan Guhle signed with Blue Jackets for $888,833 for 3 year(s) / Signing Bonus of $229,000.
[2020-04-24 4:52:56 PM] - Brendan Guhle was added to Blue Jackets.
[2020-04-24 4:52:38 PM] - Ben Hutton signed with Blue Jackets for $1,500,000 for 3 year(s) / Signing Bonus of $900,009.
[2020-04-24 4:52:38 PM] - Ben Hutton was added to Blue Jackets.
[2020-04-21 7:23:23 PM] - Jake Muzzin signed with Blue Jackets for $4,000,000 for 3 year(s) / Signing Bonus of $5,000,000.
[2020-04-21 7:23:23 PM] - Jake Muzzin was added to Blue Jackets.
[2020-04-21 7:22:26 PM] - Riley Stillman signed with Blue Jackets for $900,000 for 3 year(s) / Signing Bonus of $555,555.
[2020-04-21 7:22:26 PM] - Riley Stillman was added to Blue Jackets.
[2020-04-19 9:57:49 PM] - Blue Jackets drafts Luke Prokop as the #95 overall pick in the Entry Draft of year 2020.
[2020-04-19 9:21:47 PM] - Blue Jackets drafts Simon Kubicek as the #73 overall pick in the Entry Draft of year 2020.
[2020-04-19 8:42:13 PM] - Blue Jackets drafts Jaromir Pytlik as the #51 overall pick in the Entry Draft of year 2020.
[2020-04-19 7:54:02 PM] - Blue Jackets drafts Tyler Kleven as the #29 overall pick in the Entry Draft of year 2020.
[2020-04-19 12:07:16 PM] - Vladislav Gavrikov was added to Blue Jackets.
[2020-04-19 12:07:13 PM] - Vladislav Gavrikov has been added to Blue Jackets.

[2020-07-09 9:51:42 AM] Current fund for Blue Jackets is under $0.
[2020-07-08 9:41:03 AM] Current fund for Blue Jackets is under $0.
[2020-07-07 11:04:22 AM] Current fund for Blue Jackets is under $0.
[2020-07-06 10:29:46 AM] Current fund for Blue Jackets is under $0.
[2020-07-05 9:44:35 AM] Current fund for Blue Jackets is under $0.
[2020-07-03 9:12:35 AM] Current fund for Blue Jackets is under $0.
[2020-07-02 10:12:09 AM] Current fund for Blue Jackets is under $0.
[2020-07-02 10:11:47 AM] Auto Lines Function has been run for Blue Jackets.
[2020-07-02 10:11:47 AM] Auto Roster Partial Function has been run for Blue Jackets.
[2020-07-02 10:11:47 AM] Blue Jackets roster errors : Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-07-01 10:29:04 AM] Current fund for Blue Jackets is under $0.
[2020-07-01 10:28:23 AM] Auto Lines Function has been run for Blue Jackets.
[2020-07-01 10:28:23 AM] Auto Roster Partial Function has been run for Blue Jackets.
[2020-07-01 10:28:23 AM] Blue Jackets roster errors : Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-06-30 1:08:16 PM] Current fund for Blue Jackets is under $0.
[2020-06-30 1:08:07 PM] Jonathan Drouin from Blue Jackets is back from Sore Left Knee Injury.
[2020-06-30 1:08:07 PM] Last 7 Days Pro Star : 1 - Jamie Benn of Blue Jackets (3-5-8) / 2 - Evander Kane of Blue Jackets (3-3-6) / 3 - Bo Horvat of Maple Leafs (5-2-7)
[2020-06-30 1:08:04 PM] Auto Lines Function has been run for Blue Jackets.
[2020-06-30 1:08:04 PM] Auto Roster Partial Function has been run for Blue Jackets.
[2020-06-30 1:08:04 PM] Blue Jackets roster errors : Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-06-29 10:25:58 AM] Current fund for Blue Jackets is under $0.
[2020-06-29 10:25:40 AM] Auto Lines Function has been run for Blue Jackets.
[2020-06-29 10:25:40 AM] Auto Roster Partial Function has been run for Blue Jackets.
[2020-06-29 10:25:40 AM] Blue Jackets roster errors : Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-06-27 11:46:57 AM] Current fund for Blue Jackets is under $0.
[2020-06-27 11:45:42 AM] Elias Lindholm from Blue Jackets is back from Exhaustion.
[2020-06-27 11:45:41 AM] Elias Lindholm from Blue Jackets is injured from Exhaustion.
[2020-06-27 11:45:38 AM] Successfully loaded Blue Jackets lines done with STHS Client - 3.2.0.5
[2020-06-26 10:48:22 AM] Current fund for Blue Jackets is under $0.
[2020-06-25 11:44:42 AM] Current fund for Blue Jackets is under $0.
[2020-06-24 12:47:11 PM] Current fund for Blue Jackets is under $0.
[2020-06-23 11:51:24 AM] Current fund for Blue Jackets is under $0.
[2020-06-23 11:50:37 AM] Successfully loaded Blue Jackets lines done with STHS Client - 3.2.0.5
[2020-06-22 9:08:45 AM] Current fund for Blue Jackets is under $0.
[2020-06-22 9:08:18 AM] Auto Lines Function has been run for Blue Jackets.
[2020-06-22 9:08:18 AM] Auto Roster Partial Function has been run for Blue Jackets.
[2020-06-22 9:08:18 AM] Pavel Zacha of Blue Jackets was sent to pro.
[2020-06-22 9:08:18 AM] Blue Jackets roster errors : Not enough Forward available in Pro Team! 10 Dressed. 12 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-06-18 10:02:54 AM] Current fund for Blue Jackets is under $0.
[2020-06-18 10:02:39 AM] Elias Lindholm from Blue Jackets is back from Exhaustion.
[2020-06-18 10:02:39 AM] Oscar Dansk of Blue Jackets was sent to farm.
[2020-06-18 10:02:39 AM] Pavel Zacha of Blue Jackets was sent to farm.
[2020-06-18 10:02:39 AM] Monsters lines for next game are empty. Current rosters/lines are not erased. But, Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-06-18 10:02:39 AM] Game 107 - Jonathan Drouin from Blue Jackets is injured (Sore Left Knee) and is out for 2 weeks.
[2020-06-18 10:02:35 AM] Successfully loaded Blue Jackets lines done with STHS Client - 3.2.0.5
[2020-06-18 10:02:35 AM] Oscar Dansk of Blue Jackets was sent to pro.
[2020-06-18 10:02:35 AM] Pavel Zacha of Blue Jackets was sent to pro.
[2020-06-16 8:57:45 AM] Current fund for Blue Jackets is under $0.
[2020-06-16 8:57:21 AM] Monsters lines for next game are empty. Current rosters/lines are not erased. But, Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2020-06-16 8:57:20 AM] Elias Lindholm from Blue Jackets is injured from Exhaustion.

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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
2020	9	4	5	0	0	0	0	0	26	30	-4	5	2	3	0	0	0	0	0	14	17	-3	4	2	2	0	0	0	0	0	12	13	-1	8	26	48	74	0	0	8	10	6	2	312	101	92	98	21	324	112	98	246	25	3	12.00%	39	9	76.92%	1	160	345	46.38%	179	362	49.45%	75	156	48.08%	219	146	246	73	125	59
Total Séries	9	4	5	0	0	0	0	0	26	30	-4	5	2	3	0	0	0	0	0	14	17	-3	4	2	2	0	0	0	0	0	12	13	-1	8	26	48	74	0	0	8	10	6	2	312	101	92	98	21	324	112	98	246	25	3	12.00%	39	9	76.92%	1	160	345	46.38%	179	362	49.45%	75	156	48.08%	219	146	246	73	125	59