OTHL - 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	Bo Horvat (A)	X				100.00	71	54	87	87	79	85	90	91	95	80	84	72	42	68	69	81	50	76	0
2	Mats Zuccarello			X		99.00	77	43	85	88	61	83	81	85	36	89	76	76	89	68	71	80	50	75	0
3	Evander Kane		X			100.00	88	69	44	85	79	78	94	74	49	77	88	65	38	75	76	81	50	73	0
4	Elias Pettersson (R)	X				100.00	67	41	94	90	63	79	75	91	73	87	87	54	63	53	53	81	50	73	0
5	Thomas Vanek		X	X		100.00	67	43	87	79	78	67	89	77	34	75	76	51	73	85	89	72	50	69	0
6	Vinnie Hinostroza	X		X		100.00	75	42	93	81	61	70	90	73	42	76	73	70	75	59	59	75	50	69	0
7	Kyle Okposo			X		99.00	76	54	84	83	79	67	94	73	47	65	71	63	75	77	79	72	50	69	0
8	Alexander Kerfoot	X	X			100.00	61	40	85	80	63	69	96	77	81	77	71	58	25	63	64	72	50	68	0
9	Jake Virtanen			X		100.00	87	46	82	77	81	69	90	67	34	62	72	66	75	61	61	71	50	67	0
10	Sven Baertschi		X			100.00	69	42	92	84	69	70	59	79	32	65	85	55	25	64	65	75	50	67	0
11	Sam Steel (R)	X				100.00	63	41	88	77	64	70	80	70	81	68	78	67	25	46	46	73	50	66	0
12	Zach Sanford	X	X	X		100.00	71	54	89	73	72	63	62	60	56	65	64	70	25	50	50	67	50	62	0
13	Ian Cole				X	100.00	80	99	57	74	81	80	86	61	25	54	48	98	25	70	72	66	50	73	0
14	Anton Stralman (C)				X	99.00	78	44	94	78	69	81	81	58	25	66	48	89	25	79	85	67	50	72	0
15	Danny DeKeyser (A)				X	100.00	80	55	79	76	73	84	76	62	25	64	50	91	25	70	71	68	50	72	0
16	Mark Pysyk				X	100.00	84	45	88	80	74	75	93	59	25	52	47	82	25	65	65	63	50	70	0
17	Robert Hagg				X	100.00	96	57	78	72	75	72	93	58	25	54	48	88	25	55	56	65	50	70	0
18	Jason Demers				X	100.00	79	44	89	83	72	80	70	60	25	53	48	75	25	74	77	63	50	68	0
Rayé
1	Troy Stecher				X	79.41	77	43	87	83	68	80	90	68	25	62	48	76	25	60	60	65	50	69	0

	MOYENNE D'ÉQUIPE					98.76	76	50	83	81	72	75	84	71	44	68	66	72	42	65	67	71	50	70

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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	Jacob Markstrom	100.00	80	90	86	84	78	82	64	81	82	80	92	64	64	79	50	76	0
2	Alex Lyon	99.00	62	69	86	75	63	66	53	64	60	59	30	45	45	62	50	61	0
Rayé
1	Alex Stalock	100.00	63	54	54	72	70	55	59	65	64	62	90	57	58	62	50	61	0

	MOYENNE D'ÉQUIPE	99.67	68	71	75	77	70	68	59	70	69	67	71	55	56	68	50	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bill Peters	55	87	97	73	76	57	74	CAN	55	1	2,000,000$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

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#	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	P/20	S1	S2	S3
1	Mats Zuccarello	Blue Jackets	RW	7	3	5	8	-2	4	9	22	13	2	25	23.08%	3	152	21.74	2	1	3	2	16	1	27	1	0	22.73%	66	1.05	0	2	0
2	Elias Pettersson	Blue Jackets	C	7	4	3	7	-1	0	5	17	28	10	15	14.29%	0	125	17.95	0	2	2	6	15	1	7	0	1	41.88%	160	1.11	0	0	2
3	Alexander Kerfoot	Blue Jackets	C/LW	7	1	4	5	2	0	4	4	10	4	12	10.00%	2	89	12.72	0	1	1	2	16	0	14	0	0	42.00%	50	1.12	0	0	0
4	Bo Horvat	Blue Jackets	C	7	1	2	3	-3	0	4	14	20	2	21	5.00%	1	113	16.21	1	0	1	1	15	0	0	0	0	54.21%	107	0.53	0	0	0
5	Sam Steel	Blue Jackets	C	7	2	1	3	0	0	1	4	7	2	10	28.57%	0	55	7.86	0	0	0	0	0	0	0	1	0	47.54%	61	1.09	0	0	0
6	Zach Sanford	Blue Jackets	C/LW/RW	7	2	1	3	0	0	4	1	5	2	3	40.00%	0	55	7.86	0	0	0	0	0	0	0	0	0	40.00%	5	1.09	0	0	0
7	Danny DeKeyser	Blue Jackets	D	7	0	3	3	1	2	12	6	5	7	1	0.00%	5	163	23.33	0	0	0	5	16	0	23	0	0	0.00%	0	0.37	0	0	0
8	Kyle Okposo	Blue Jackets	RW	7	1	1	2	-2	4	11	6	10	3	5	10.00%	0	136	19.54	1	0	1	1	16	0	13	0	0	35.29%	17	0.29	1	0	0
9	Ian Cole	Blue Jackets	D	7	0	2	2	-4	8	12	8	6	4	9	0.00%	15	146	20.90	0	0	0	1	15	0	22	0	0	0.00%	0	0.27	0	0	0
10	Anton Stralman	Blue Jackets	D	7	0	2	2	-6	10	8	10	6	2	4	0.00%	15	168	24.11	0	1	1	2	13	0	20	0	0	0.00%	0	0.24	0	0	0
11	Sven Baertschi	Blue Jackets	LW	7	1	1	2	-2	0	7	7	14	8	10	7.14%	0	120	17.27	0	0	0	2	15	0	25	0	0	11.11%	9	0.33	0	0	0
12	Mark Pysyk	Blue Jackets	D	7	1	1	2	2	4	13	3	7	2	3	14.29%	5	113	16.28	0	0	0	1	1	0	4	1	0	0.00%	0	0.35	0	0	0
13	Evander Kane	Blue Jackets	LW	7	1	0	1	-3	18	21	13	12	3	7	8.33%	1	104	14.99	0	0	0	0	0	0	5	0	0	37.50%	8	0.19	0	0	1
14	Jake Virtanen	Blue Jackets	RW	7	0	1	1	-2	6	16	6	7	3	10	0.00%	0	78	11.16	0	0	0	0	1	0	0	0	0	14.29%	7	0.26	0	0	0
15	Thomas Vanek	Blue Jackets	LW/RW	7	0	1	1	-4	0	3	9	5	2	5	0.00%	1	76	10.89	0	0	0	0	0	1	2	0	0	32.00%	75	0.26	0	0	0
16	Vinnie Hinostroza	Blue Jackets	C/RW	7	1	0	1	-4	0	1	4	10	4	9	10.00%	1	102	14.70	0	0	0	1	1	0	1	0	0	13.33%	15	0.19	0	0	0
17	Jason Demers	Blue Jackets	D	6	0	1	1	-4	0	21	5	3	0	1	0.00%	7	122	20.41	0	0	0	0	2	0	7	0	0	0.00%	0	0.16	0	0	0
18	Robert Hagg	Blue Jackets	D	7	0	1	1	-3	4	16	7	3	2	3	0.00%	5	123	17.63	0	0	0	2	17	0	22	0	0	0.00%	0	0.16	0	0	0
19	Troy Stecher	Blue Jackets	D	1	0	0	0	0	0	0	1	0	0	0	0.00%	2	3	3.90	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				126	18	30	48	-35	60	168	147	171	62	153	10.53%	63	2052	16.29	4	5	9	26	165	3	199	3	1	39.48%	580	0.47	1	2	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	S1
1	Jacob Markstrom	Blue Jackets	6	2	3	1	0.906	3.36	321	18	191	6	1	1
2	Alex Lyon	Blue Jackets	2	1	0	0	0.898	3.64	99	6	59	1	5	0
Stats d'équipe Total ou en Moyenne			8	3	3	1	0.904	3.43	420	24	250	7	6	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
Alex Lyon	Blue Jackets	G	26	1992-12-08	No	201 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	750,000$	750,000$	681,452$	No	Lien
Alex Stalock	Blue Jackets	G	32	1987-07-28	No	198 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	1,250,000$	1,250,000$	1,135,753$	No	Lien
Alexander Kerfoot	Blue Jackets	C/LW	25	1994-08-11	No	175 Lbs	5 ft10	No	No	No	2	Avec Restriction	Pro & Farm	1,137,500$	1,137,500$	1,033,535$	No	Lien
Anton Stralman	Blue Jackets	D	33	1986-08-01	No	190 Lbs	5 ft11	Yes	No	No	4	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	4,997,312$	No	Lien
Bo Horvat	Blue Jackets	C	24	1995-04-05	No	223 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	4,997,312$	No	Lien
Danny DeKeyser	Blue Jackets	D	29	1990-03-07	No	192 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	4,543,011$	No	Lien
Elias Pettersson	Blue Jackets	C	20	1998-11-12	Yes	161 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	3,775,000$	3,775,000$	3,429,973$	No	Lien
Evander Kane	Blue Jackets	LW	28	1991-08-02	No	212 Lbs	6 ft2	No	No	No	5	Avec Restriction	Pro & Farm	7,000,000$	7,000,000$	6,360,215$	No	Lien
Ian Cole	Blue Jackets	D	30	1989-02-21	No	219 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	3,634,409$	No	Lien
Jacob Markstrom	Blue Jackets	G	29	1990-01-31	No	196 Lbs	6 ft6	No	No	No	2	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	3,634,409$	No	Lien
Jake Virtanen	Blue Jackets	RW	23	1996-08-17	No	229 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	1,250,000$	1,250,000$	1,135,753$	No	Lien
Jason Demers	Blue Jackets	D	31	1988-06-09	No	195 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	4,500,000$	4,500,000$	4,088,710$	No	Lien
Kyle Okposo	Blue Jackets	RW	31	1988-04-16	No	220 Lbs	6 ft0	No	No	No	4	Sans Restriction	Pro & Farm	7,500,000$	7,500,000$	6,814,516$	No	Lien
Mark Pysyk	Blue Jackets	D	27	1992-01-11	No	200 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	2,700,000$	2,700,000$	2,453,226$	No	Lien
Mats Zuccarello	Blue Jackets	RW	32	1987-08-31	No	179 Lbs	5 ft8	No	No	No	1	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	4,543,011$	No	Lien
Robert Hagg	Blue Jackets	D	24	1995-02-07	No	204 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	894,167$	894,167$	812,442$	No	Lien
Sam Steel	Blue Jackets	C	21	1998-02-03	Yes	178 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	925,000$	925,000$	840,457$	No	Lien
Sven Baertschi	Blue Jackets	LW	27	1992-10-05	No	192 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	3,400,000$	3,400,000$	3,089,247$	No	Lien
Thomas Vanek	Blue Jackets	LW/RW	35	1984-01-18	No	214 Lbs	6 ft2	Yes	No	No	2	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	1,817,204$	No	Lien
Troy Stecher (Sur la Masse Salariale)	Blue Jackets	D	25	1994-04-07	No	190 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro & Farm	3,000,000$	0$	0$	Yes	Lien
Vinnie Hinostroza	Blue Jackets	C/RW	25	1994-04-03	No	173 Lbs	5 ft9	No	No	No	1	Avec Restriction	Pro & Farm	925,000$	925,000$	840,457$	No	Lien
Zach Sanford	Blue Jackets	C/LW/RW	24	1994-11-09	No	185 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	925,000$	925,000$	840,457$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.32	197 Lbs	6 ft1	2.32	3,224,167$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
70,931,667$	55,906,667$	38,200,000$	20,000,000$	7,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mats Zuccarello	Elias Pettersson	Kyle Okposo	27	0	2	3
2	Evander Kane	Bo Horvat	Vinnie Hinostroza	27	0	2	3
3	Sven Baertschi	Alexander Kerfoot	Jake Virtanen	25	1	1	3
4	Thomas Vanek	Sam Steel	Zach Sanford	21	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Anton Stralman	Jason Demers	40	1	2	2
2	Mark Pysyk	Danny DeKeyser	30	1	2	2
3	Ian Cole	Robert Hagg	20	1	2	2
4	Ian Cole	Danny DeKeyser	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mats Zuccarello	Elias Pettersson	Kyle Okposo	60	1	2	2
2	Sven Baertschi	Alexander Kerfoot	Bo Horvat	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Robert Hagg	Danny DeKeyser	60	1	2	2
2	Anton Stralman	Ian Cole	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mats Zuccarello	Sven Baertschi	60	1	2	2
2	Kyle Okposo	Alexander Kerfoot	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ian Cole	Danny DeKeyser	60	1	2	2
2	Anton Stralman	Robert Hagg	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Mats Zuccarello	60	1	2	2	Ian Cole	Danny DeKeyser	60	1	2	2
2	Kyle Okposo	40	1	2	2	Anton Stralman	Robert Hagg	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mats Zuccarello	Elias Pettersson	60	1	2	2
2	Kyle Okposo	Evander Kane	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Robert Hagg	Anton Stralman	60	1	2	2
2	Danny DeKeyser	Ian Cole	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mats Zuccarello	Elias Pettersson	Kyle Okposo	Anton Stralman	Jason Demers

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mats Zuccarello	Elias Pettersson	Kyle Okposo	Anton Stralman	Jason Demers

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Sven Baertschi, Mats Zuccarello, Kyle Okposo	Sven Baertschi, Mats Zuccarello	Mats Zuccarello

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ian Cole, Robert Hagg, Anton Stralman	Ian Cole	Robert Hagg, Ian Cole

Tirs de Pénalité
Mats Zuccarello, Elias Pettersson, Kyle Okposo, Thomas Vanek, Vinnie Hinostroza

Gardien
#1 : Alex Lyon, #2 : Jacob Markstrom

Lignes d'Attaque Perso. en Prol.
Mats Zuccarello, Elias Pettersson, Kyle Okposo, Thomas Vanek, Vinnie Hinostroza, Sven Baertschi, Sven Baertschi, Jake Virtanen, Alexander Kerfoot, Sam Steel, Bo Horvat

Lignes de Défense Perso. en Prol.
Robert Hagg, Anton Stralman, Mark Pysyk, Danny DeKeyser, Ian Cole

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Blackhawks	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	6	10	0	0	1	1	2	0	32	18	8	6	0	35	9	8	27	6	1	16.67%	3	1	66.67%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	22	16	25	7	12	6
2	Ducks	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	0	1	0	11	5	2	4	0	24	1	6	23	1	0	0.00%	3	0	100.00%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	24	16	22	7	12	6
3	Hurricanes	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	1	2	-1	1	0.500	1	1	2	0	0	0	0	1	0	21	7	5	9	0	30	10	12	32	4	1	25.00%	6	1	83.33%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	22	14	25	8	13	6
4	Maple Leafs	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	1	1	0	24	6	10	8	0	40	19	4	29	3	0	0.00%	1	0	100.00%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	20	13	27	8	12	5
5	Penguins	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	2	0	2	0	35	17	12	6	0	53	10	12	18	0	0	0.00%	6	0	100.00%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	19	13	30	7	10	4
6	Sabres	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	1	7	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	1	0	0	0	13	5	3	5	0	39	11	8	13	2	0	0.00%	4	0	100.00%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	18	11	28	7	13	6
7	Stars	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	7	12	0	0	2	2	1	0	35	8	18	9	0	29	3	10	26	3	2	66.67%	5	1	80.00%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	25	17	21	7	13	7
	Total	7	3	3	0	0	1	0	0	18	24	-6	4	1	3	0	0	0	0	0	9	17	-8	3	2	0	0	0	1	0	0	9	7	2	7	0.500	18	30	48	0	0	6	4	8	0	171	66	58	47	0	250	63	60	168	19	4	21.05%	28	3	89.29%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	153	104	180	54	88	42
	_Since Last GM Reset	7	3	3	0	0	1	0	0	18	24	-6	4	1	3	0	0	0	0	0	9	17	-8	3	2	0	0	0	1	0	0	9	7	2	7	0.500	18	30	48	0	0	6	4	8	0	171	66	58	47	0	250	63	60	168	19	4	21.05%	28	3	89.29%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	153	104	180	54	88	42
	_Vs Conference	4	1	2	0	0	1	0	0	8	15	-7	2	0	2	0	0	0	0	0	3	11	-8	2	1	0	0	0	1	0	0	5	4	1	3	0.375	8	15	23	0	0	3	1	4	0	93	35	30	28	0	162	50	36	92	9	1	11.11%	17	1	94.12%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	80	53	111	31	49	23
	_Vs Division	2	1	0	0	0	1	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	1	0	0	5	4	1	3	0.750	5	9	14	0	0	2	0	3	0	56	24	17	15	0	83	20	24	50	4	1	25.00%	12	1	91.67%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	41	28	55	15	23	10

			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	7	W2	18	30	48	171	250	63	60	168	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	3	0	1	0	0	18	24

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	9	17

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	0	0	1	0	0	9	7

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	3	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
19	4	21.05%	28	3	89.29%	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
66	58	47	0	6	4	8	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
80	200	40.00%	109	267	40.82%	40	113	35.40%

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	104	180	54	88	42

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
3 - 2019-10-06	13	Maple Leafs	4	Blue Jackets	2	L		Sommaire du Match
4 - 2019-10-07	27	Blue Jackets	4	Penguins	2	W		Sommaire du Match
6 - 2019-10-09	34	Sabres	7	Blue Jackets	1	L		Sommaire du Match
10 - 2019-10-13	60	Ducks	2	Blue Jackets	1	L		Sommaire du Match
11 - 2019-10-14	62	Blue Jackets	1	Hurricanes	2	L	X	Sommaire du Match
15 - 2019-10-18	93	Stars	4	Blue Jackets	5	W		Sommaire du Match
17 - 2019-10-20	108	Blue Jackets	4	Blackhawks	3	W		Sommaire du Match
18 - 2019-10-21	114	Islanders	-	Blue Jackets	-
20 - 2019-10-23	132	Blue Jackets	-	Maple Leafs	-
23 - 2019-10-26	145	Hurricanes	-	Blue Jackets	-
25 - 2019-10-28	167	Blue Jackets	-	Flyers	-
29 - 2019-11-01	189	Oilers	-	Blue Jackets	-
31 - 2019-11-03	202	Blue Jackets	-	Blues	-
32 - 2019-11-04	208	Flames	-	Blue Jackets	-
35 - 2019-11-07	225	Golden Knights	-	Blue Jackets	-
37 - 2019-11-09	237	Blue Jackets	-	Coyotes	-
39 - 2019-11-11	254	Blue Jackets	-	Avalanche	-
42 - 2019-11-14	275	Blue Jackets	-	Canadiens	-
45 - 2019-11-17	294	Blues	-	Blue Jackets	-
49 - 2019-11-21	319	Canadiens	-	Blue Jackets	-
51 - 2019-11-23	336	Red Wings	-	Blue Jackets	-
53 - 2019-11-25	360	Blue Jackets	-	Jets	-
55 - 2019-11-27	366	Senators	-	Blue Jackets	-
57 - 2019-11-29	379	Flyers	-	Blue Jackets	-
59 - 2019-12-01	395	Penguins	-	Blue Jackets	-
60 - 2019-12-02	412	Blue Jackets	-	Islanders	-
63 - 2019-12-05	425	Coyotes	-	Blue Jackets	-
65 - 2019-12-07	440	Rangers	-	Blue Jackets	-
67 - 2019-12-09	457	Blue Jackets	-	Panthers	-
69 - 2019-12-11	471	Blue Jackets	-	Capitals	-
72 - 2019-12-14	494	Blue Jackets	-	Penguins	-
74 - 2019-12-16	510	Blue Jackets	-	Senators	-
76 - 2019-12-18	519	Capitals	-	Blue Jackets	-
77 - 2019-12-19	526	Blue Jackets	-	Red Wings	-
79 - 2019-12-21	540	Kings	-	Blue Jackets	-
81 - 2019-12-23	555	Devils	-	Blue Jackets	-
83 - 2019-12-25	574	Blue Jackets	-	Islanders	-
87 - 2019-12-29	592	Blue Jackets	-	Capitals	-
89 - 2019-12-31	605	Blackhawks	-	Blue Jackets	-
91 - 2020-01-02	616	Panthers	-	Blue Jackets	-
93 - 2020-01-04	628	Blue Jackets	-	Bruins	-
95 - 2020-01-06	644	Sharks	-	Blue Jackets	-
97 - 2020-01-08	659	Blue Jackets	-	Kings	-
98 - 2020-01-09	663	Blue Jackets	-	Ducks	-
100 - 2020-01-11	685	Blue Jackets	-	Sharks	-
102 - 2020-01-13	701	Blue Jackets	-	Golden Knights	-
105 - 2020-01-16	716	Bruins	-	Blue Jackets	-
107 - 2020-01-18	728	Hurricanes	-	Blue Jackets	-
109 - 2020-01-20	743	Devils	-	Blue Jackets	-
110 - 2020-01-21	757	Blue Jackets	-	Rangers	-
113 - 2020-01-24	766	Jets	-	Blue Jackets	-
123 - 2020-02-03	793	Blue Jackets	-	Sabres	-
124 - 2020-02-04	807	Blue Jackets	-	Canadiens	-
126 - 2020-02-06	815	Panthers	-	Blue Jackets	-
129 - 2020-02-09	839	Red Wings	-	Blue Jackets	-
130 - 2020-02-10	844	Avalanche	-	Blue Jackets	-
132 - 2020-02-12	860	Lightning	-	Blue Jackets	-
135 - 2020-02-15	881	Blue Jackets	-	Sabres	-
136 - 2020-02-16	892	Rangers	-	Blue Jackets	-
138 - 2020-02-18	908	Blue Jackets	-	Devils	-
140 - 2020-02-20	923	Blue Jackets	-	Flyers	-
142 - 2020-02-22	933	Flyers	-	Blue Jackets	-
144 - 2020-02-24	951	Blue Jackets	-	Predators	-
146 - 2020-02-26	967	Senators	-	Blue Jackets	-
147 - 2020-02-27	973	Blue Jackets	-	Wild	-
150 - 2020-03-01	996	Wild	-	Blue Jackets	-
152 - 2020-03-03	1012	Canucks	-	Blue Jackets	-
155 - 2020-03-06	1029	Blue Jackets	-	Flames	-
158 - 2020-03-09	1051	Blue Jackets	-	Oilers	-
159 - 2020-03-10	1065	Blue Jackets	-	Canucks	-
163 - 2020-03-14	1084	Penguins	-	Blue Jackets	-
165 - 2020-03-16	1101	Predators	-	Blue Jackets	-
167 - 2020-03-18	1119	Blue Jackets	-	Bruins	-
170 - 2020-03-21	1138	Capitals	-	Blue Jackets	-
172 - 2020-03-23	1162	Blue Jackets	-	Maple Leafs	-
174 - 2020-03-25	1173	Blue Jackets	-	Devils	-
175 - 2020-03-26	1180	Blue Jackets	-	Rangers	-
178 - 2020-03-29	1202	Blue Jackets	-	Lightning	-
179 - 2020-03-30	1208	Blue Jackets	-	Stars	-
181 - 2020-04-01	1225	Islanders	-	Blue Jackets	-
184 - 2020-04-04	1243	Lightning	-	Blue Jackets	-
185 - 2020-04-05	1256	Blue Jackets	-	Hurricanes	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	4000	3000	1000
Prix des Billets	225	165	135	100	300
Assistance	15,454	12,365	9,371	7,216	2,789
Attendance PCT	64.39%	61.83%	58.57%	60.13%	69.73%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
37	11799 - 62.10%	2,085,190$	8,340,760$	19000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
6,423,867$	67,931,667$	67,931,667$	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
365,224$	6,241,066$	0$	21	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
77,152,030$	169	375,977$	63,540,113$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
66,210,482$	67,963,922$	25,160,591$	41,802,914$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Evander Kane	AGE:28	PO:81	OV:73
Thomas Vanek	AGE:35	PO:72	OV:69
Alexander Kerfoot	AGE:25	PO:72	OV:68
Sven Baertschi	AGE:27	PO:75	OV:67
Anthony Greco	AGE:26	PO:67	OV:64
Cory Conacher	AGE:29	PO:65	OV:64
Zach Sanford	AGE:24	PO:67	OV:62
Patrick Russell	AGE:26	PO:65	OV:62
Giovanni Fiore	AGE:23	PO:61	OV:59
Phillip Di Giuseppe	AGE:26	PO:60	OV:59
Hunter Shinkaruk	AGE:25	PO:55	OV:56

Bo Horvat	AGE:24	PO:81	OV:76
*Elias Pettersson	AGE:20	PO:81	OV:73
Vinnie Hinostroza	AGE:25	PO:75	OV:69
Alexander Kerfoot	AGE:25	PO:72	OV:68
*Sam Steel	AGE:21	PO:73	OV:66
Denis Malgin	AGE:22	PO:67	OV:64
T.J. Tynan	AGE:27	PO:65	OV:63
Zach Sanford	AGE:24	PO:67	OV:62
Frederick Gaudreau	AGE:26	PO:60	OV:60

Mats Zuccarello	AGE:32	PO:80	OV:75
Vinnie Hinostroza	AGE:25	PO:75	OV:69
Thomas Vanek	AGE:35	PO:72	OV:69
Kyle Okposo	AGE:31	PO:72	OV:69
Jake Virtanen	AGE:23	PO:71	OV:67
Denis Malgin	AGE:22	PO:67	OV:64
Anthony Greco	AGE:26	PO:67	OV:64
Cory Conacher	AGE:29	PO:65	OV:64
Zach Sanford	AGE:24	PO:67	OV:62
Jack Rodewald	AGE:25	PO:67	OV:62
Patrick Russell	AGE:26	PO:65	OV:62
Frederick Gaudreau	AGE:26	PO:60	OV:60
Giovanni Fiore	AGE:23	PO:61	OV:59
Phillip Di Giuseppe	AGE:26	PO:60	OV:59

Défense #1

Défense #2

Gardien

Ian Cole	AGE:30	PO:66	OV:73
Danny DeKeyser	AGE:29	PO:68	OV:72
Anton Stralman	AGE:33	PO:67	OV:72
Robert Hagg	AGE:24	PO:65	OV:70
Mark Pysyk	AGE:27	PO:63	OV:70
Dion Phaneuf	AGE:34	PO:61	OV:70
Troy Stecher	AGE:25	PO:65	OV:69

Jason Demers	AGE:31	PO:63	OV:68
*Philippe Myers	AGE:22	PO:60	OV:63
Ashton Sautner	AGE:25	PO:59	OV:63
Josh Brown	AGE:25	PO:58	OV:62
Tommy Cross	AGE:30	PO:56	OV:62
Evan McEneny	AGE:25	PO:58	OV:60
*Sami Niku	AGE:23	PO:58	OV:60

Jacob Markstrom	AGE:29	PO:79	OV:76
Alex Lyon	AGE:26	PO:62	OV:61
Alex Stalock	AGE:32	PO:62	OV:61
Brad Thiessen	AGE:33	PO:60	OV:59
Adam Wilcox	AGE:25	PO:53	OV:54

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
Aaron Irving	Blue Jackets	2014	127
Aidan Mcdonough	Blue Jackets	2019	168
Artur Gavrus	Blue Jackets	2012	133
Artyom Manukyan	Blue Jackets	2018	179
Brandon Baddock	Blue Jackets	2014	165
Brian Cooper	Blue Jackets	2012	155
Chase Perry	Blue Jackets	2014	113
Conner Bleackley	Blue Jackets	2014	17
Dane Birks	Blue Jackets	2013	155
Daniil Tarasov	Blue Jackets	2017	58
Dmitri Zhukenov	Blue Jackets	2015	96
Dylan Blujus	Blue Jackets	2012	58
Felix Girard	Blue Jackets	2013	110
Filip Lindberg	Blue Jackets	2019	135
Giovanni Vallati	Blue Jackets	2018	123
Henrik Tommernes	Blue Jackets	2011	174
Jakub Skarek	Blue Jackets	2018	77
Joel Lowry	Blue Jackets	2011	114
Jonah Gadjovich	Blue Jackets	2017	44
Justin Kirkland	Blue Jackets	2014	61
Kale Howarth	Blue Jackets	2017	103
Kelly Summers	Blue Jackets	2014	153
Kole Lind	Blue Jackets	2017	30
Lars Volden	Blue Jackets	2011	129
Lauri Pajuniemi	Blue Jackets	2018	137
Luka Burzan	Blue Jackets	2019	166
Lukas Jasek	Blue Jackets	2015	139
Mason Geertsen	Blue Jackets	2013	77
Michael Prapavessis	Blue Jackets	2014	119
Mikhail Shalagin	Blue Jackets	2019	177
Nicolas Aube-Kubel	Blue Jackets	2014	47
Parker Foo	Blue Jackets	2017	107
Quinn Hughes	Blue Jackets	2018	6
Radel Fazleev	Blue Jackets	2014	175
Rourke Chartier	Blue Jackets	2014	118
Seth Barton	Blue Jackets	2018	72
Thatcher Demko	Blue Jackets	2014	29
Troy Bourke	Blue Jackets	2012	65
Tyler Madden	Blue Jackets	2018	66
Valtteri Puustinen	Blue Jackets	2019	182
Wiley Sherman	Blue Jackets	2013	179
William Lockwood	Blue Jackets	2016	70
Zachary Lauzon	Blue Jackets	2017	50

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2020	CLB	CLB	MIN WSH NYR CGY	CLB PHL MTL	WSH CGY	CLB
2021	NYR CLB OTT	STL CLB	EDM CLB	WSH CLB	WSH CLB	CLB WSH	EDM CLB WSH
2022	CLB	CLB	CLB	CLB	CLB	CLB	CLB
2023	CLB	CLB	CLB	CLB	CLB	CLB	CLB
2024	CLB	CLB	CLB	CLB	CLB	CLB	CLB

[2019-10-27 8:38:08 PM] - Phillip Di Giuseppe has been selected as assistant for Monsters.
[2019-10-27 8:38:08 PM] - Unknown Player is no longer as assistant for Monsters.
[2019-10-27 8:37:56 PM] - Cory Conacher has been selected as assistant for Monsters.
[2019-10-27 8:37:55 PM] - Unknown Player is no longer as assistant for Monsters.
[2019-10-27 8:37:50 PM] - Dion Phaneuf has been selected as the team Captain for the Monsters.
[2019-10-27 8:37:49 PM] - Unknown Player is no longer captain for Monsters.
[2019-10-27 8:37:32 PM] - Bo Horvat has been selected as assistant for Blue Jackets.
[2019-10-27 8:37:31 PM] - Unknown Player is no longer as assistant for Blue Jackets.
[2019-10-27 8:37:16 PM] - Anton Stralman has been selected as the team Captain for the Blue Jackets.
[2019-10-27 8:37:14 PM] - Unknown Player is no longer captain for Blue Jackets.
[2019-10-20 6:47:39 PM] - TRADE : From Flyers to Blue Jackets : Alex Stalock (61), Alex Lyon (62).
[2019-10-20 6:47:39 PM] - TRADE : From Blue Jackets to Flyers : $2,000,000 (Money).
[2019-10-16 4:35:42 PM] - Team Name Change : Columbus Blue Jackets changed name to Blue Jackets
[2019-10-06 5:50:41 PM] - TRADE : From St. Louis Blues to Columbus Blue Jackets : Anthony Greco (63).
[2019-10-05 7:08:30 PM] - Monsters hired Jim Montgomery for $900,000 for 2 year(s).
[2019-10-05 7:07:39 PM] - Monsters fired Jim Montgomery.
[2019-10-05 6:57:26 PM] - Phillip Di Giuseppe signed with Columbus Blue Jackets for $700,000 for 1 year(s).
[2019-10-05 6:57:26 PM] - Phillip Di Giuseppe was added to Columbus Blue Jackets.
[2019-10-05 6:36:53 PM] - Patrick Russell signed with Columbus Blue Jackets for $750,000 for 2 year(s) / Option : No Trade.
[2019-10-05 6:36:53 PM] - Patrick Russell was added to Columbus Blue Jackets.
[2019-09-26 8:07:27 PM] - Tommy Cross signed with Columbus Blue Jackets for $700,000 for 3 year(s) / Option : No Trade.
[2019-09-26 8:07:27 PM] - Tommy Cross was added to Columbus Blue Jackets.
[2019-09-26 8:07:14 PM] - Jack Rodewald signed with Columbus Blue Jackets for $700,000 for 2 year(s) / Option : No Trade.
[2019-09-26 8:07:14 PM] - Jack Rodewald was added to Columbus Blue Jackets.
[2019-09-26 8:07:03 PM] - Brad Thiessen signed with Columbus Blue Jackets for $700,000 for 2 year(s) / Option : No Trade.
[2019-09-26 8:07:03 PM] - Brad Thiessen was added to Columbus Blue Jackets.
[2019-09-16 3:56:38 PM] - Josh Brown signed with Columbus Blue Jackets for $700,000 for 2 year(s) / Option : No Trade & Signing Bonus of $200,000.
[2019-09-16 3:56:38 PM] - Josh Brown was added to Columbus Blue Jackets.
[2019-09-13 8:16:36 PM] - Thomas Vanek signed with Columbus Blue Jackets for $2,000,000 for 2 year(s) / Option : No Trade & Signing Bonus of $1,000,000.
[2019-09-13 8:16:36 PM] - Thomas Vanek was added to Columbus Blue Jackets.
[2019-09-12 7:40:16 PM] - Jeremy Smith was released by Columbus Blue Jackets
[2019-09-12 7:36:32 PM] - Zack Mitchell was released by Columbus Blue Jackets
[2019-09-12 7:36:17 PM] - Connor Jones was released by Columbus Blue Jackets
[2019-09-12 7:35:23 PM] - Adam Cracknell was released by Columbus Blue Jackets
[2019-08-15 5:33:09 PM] - Philippe Myers was added to Columbus Blue Jackets.
[2019-08-07 8:26:13 PM] - Columbus Blue Jackets drafts Valtteri Puustinen as the #182 overall pick in the Entry Draft of year 2019.
[2019-08-07 8:20:24 PM] - TRADE : From Columbus Blue Jackets to Carolina Hurricanes : Bobby Ryan (70).
[2019-08-07 8:20:24 PM] - TRADE : From Carolina Hurricanes to Columbus Blue Jackets : Giovanni Vallati (P), Y:2020-RND:4-PHL.
[2019-08-07 8:19:49 PM] - TRADE : From Columbus Blue Jackets to New York Islanders : $1,000,000 (Money), Y:2020-RND:6-WSH.
[2019-08-07 8:19:49 PM] - TRADE : From New York Islanders to Columbus Blue Jackets : Y:2019-RND:6-NYI.
[2019-08-07 8:19:18 PM] - TRADE : From Columbus Blue Jackets to Philadelphia Flyers : Y:2020-RND:7-CLB.
[2019-08-07 8:19:18 PM] - TRADE : From Philadelphia Flyers to Columbus Blue Jackets : Lauri Pajuniemi (P).
[2019-08-04 9:53:24 PM] - Columbus Blue Jackets drafts Mikhail Shalagin as the #177 overall pick in the Entry Draft of year 2019.
[2019-08-02 7:20:33 PM] - Columbus Blue Jackets drafts Aidan Mcdonough as the #168 overall pick in the Entry Draft of year 2019.
[2019-08-02 7:20:10 PM] - Columbus Blue Jackets drafts Luka Burzan as the #166 overall pick in the Entry Draft of year 2019.
[2019-07-28 8:15:11 PM] - Columbus Blue Jackets drafts Filip Lindberg as the #135 overall pick in the Entry Draft of year 2019.
[2019-07-28 8:07:09 PM] - Monsters hired Jim Montgomery for $900,000 for 2 year(s).
[2019-07-28 7:57:59 PM] - TRADE : From Nashville Predators to Columbus Blue Jackets : Y:2019-RND:5-VAN.
[2019-07-28 7:57:59 PM] - TRADE : From Columbus Blue Jackets to Nashville Predators : Y:2020-RND:5-CLB, Y:2020-RND:7-WSH.
[2019-07-26 4:31:56 PM] - TRADE : From Philadelphia Flyers to Columbus Blue Jackets : Y:2019-RND:6-CLB, Y:2019-RND:6-OTT, Y:2019-RND:6-VAN.
[2019-07-26 4:31:56 PM] - TRADE : From Columbus Blue Jackets to Philadelphia Flyers : Y:2020-RND:4-NYR.
[2019-07-26 4:31:28 PM] - TRADE : From Calgary Flames to Columbus Blue Jackets : Y:2020-RND:3-CGY, Y:2020-RND:5-CGY.
[2019-07-26 4:31:28 PM] - TRADE : From Columbus Blue Jackets to Calgary Flames : Andre Burakovsky (65).

[2019-11-07 4:46:53 PM] 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.
[2019-11-05 4:50:28 PM] 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.
[2019-11-01 4:07:37 PM] 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.
[2019-10-31 4:05:01 PM] 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.
[2019-10-27 8:41:07 PM] Elias Pettersson from Blue Jackets is back from Right Hand Injury.
[2019-10-27 8:41:07 PM] 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.
[2019-10-27 8:41:07 PM] Game 34 - Elias Pettersson from Blue Jackets is injured (Right Hand) and is out for 2 days.
[2019-10-25 5:07:52 PM] 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.
[2019-10-25 5:05:33 PM] Auto Lines Partial Function has been run for Blue Jackets.
[2019-10-25 4:54:45 PM] Dion Phaneuf of Blue Jackets was sent down to farm.
[2019-10-25 4:54:44 PM] Blue Jackets placed Dion Phaneuf on waivers.
[2019-10-25 4:54:33 PM] T.J. Tynan of Blue Jackets was sent down to farm.
[2019-10-25 4:54:32 PM] Blue Jackets placed T.J. Tynan on waivers.
[2019-10-25 4:54:23 PM] Denis Malgin of Blue Jackets was sent down to farm.
[2019-10-25 4:54:21 PM] Cory Conacher of Blue Jackets was sent down to farm.
[2019-10-25 4:54:20 PM] Blue Jackets placed Cory Conacher on waivers.
[2019-10-25 4:54:16 PM] Anthony Greco of Blue Jackets was sent down to farm.
[2019-10-25 4:54:15 PM] Blue Jackets placed Anthony Greco on waivers.
[2019-10-25 4:54:00 PM] Blue Jackets roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2019-10-25 4:53:56 PM] Maximum Pro Players Limit Reached for Blue Jackets!
[2019-10-25 4:53:46 PM] Blue Jackets roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2019-10-25 4:53:46 PM] Auto Roster Partial Function has been run for Blue Jackets.
[2019-10-25 4:53:46 PM] T.J. Tynan of Blue Jackets was sent to pro.
[2019-10-25 4:53:46 PM] Cory Conacher of Blue Jackets was sent to pro.
[2019-10-25 4:53:46 PM] Denis Malgin of Blue Jackets was sent to pro.
[2019-10-25 4:53:46 PM] Anthony Greco of Blue Jackets was sent to pro.
[2019-10-25 4:53:46 PM] Dion Phaneuf of Blue Jackets was sent to pro.
[2019-10-25 4:53:45 PM] Blue Jackets roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-10-24 5:07:52 PM] Game 13 - Troy Stecher from Blue Jackets is injured (Lower Body) and is out for 2 months.

Troy Stecher est dehors pour 2 semaines à cause de Lower Body Injury.

Afficher ou Masquer des Colonnes

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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
2019	7	3	3	0	0	1	0	0	18	24	-6	4	1	3	0	0	0	0	0	9	17	-8	3	2	0	0	0	1	0	0	9	7	2	7	18	30	48	0	0	6	4	8	0	171	66	58	47	0	250	63	60	168	19	4	21.05%	28	3	89.29%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	153	104	180	54	88	42
Total Saison Régulière	7	3	3	0	0	1	0	0	18	24	-6	4	1	3	0	0	0	0	0	9	17	-8	3	2	0	0	0	1	0	0	9	7	2	7	18	30	48	0	0	6	4	8	0	171	66	58	47	0	250	63	60	168	19	4	21.05%	28	3	89.29%	0	80	200	40.00%	109	267	40.82%	40	113	35.40%	153	104	180	54	88	42