Stanley Cup Winners Hockey League - COLUMBUS Blue Jackets

CLEVELAND Monsters
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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	Chris Kreider	0		X			100.00	79	41	69	75	87	88	92	74	68	72	79	61	77	68	61	69	78	76	0
2	Evgenii Dadonov	0			X		100.00	60	35	80	79	69	90	95	78	64	81	78	60	78	58	58	52	62	75	0
3	Nick Foligno	0		X	X		100.00	84	50	72	71	75	88	86	70	75	70	70	66	70	84	60	49	79	74	0
4	Mats Zuccarello	0			X		100.00	69	35	81	79	65	92	61	78	60	84	70	71	74	70	61	27	79	74	0
5	Oskar Sundqvist	0	X				100.00	71	35	73	70	85	82	87	69	75	69	68	72	69	56	52	62	78	72	0
6	Benoit Pouliot	0		X			100.00	66	42	79	73	78	82	91	66	30	63	67	68	73	75	63	55	79	72	0
7	Jason Zucker	0		X			100.00	68	35	75	72	69	87	94	71	51	71	71	62	71	66	55	58	79	72	0
8	Andrew Cogliano	0	X				100.00	65	35	73	66	66	80	91	65	63	66	63	70	64	88	62	50	72	71	0
9	Andrei Svechnikov (R)	0			X		100.00	73	35	68	71	79	82	95	70	51	69	70	60	70	53	51	93	79	71	0
10	Devin Shore	0	X				100.00	70	41	75	69	78	81	89	68	69	70	65	69	67	60	53	65	79	71	0
11	Jesper Fast	0			X		100.00	77	35	76	67	76	84	79	66	61	67	65	72	66	64	54	41	79	70	0
12	Casey Mittelstadt (R)	0	X				100.00	60	35	75	68	78	82	90	67	74	67	66	60	67	53	51	87	79	69	0
13	John Carlson (C)	0				X	100.00	63	35	84	81	87	95	93	79	30	89	72	84	81	78	63	65	79	82	0
14	Colton Parayko (A)	0				X	100.00	74	41	84	68	98	92	93	68	30	66	68	75	73	63	54	60	70	75	0
15	Brian Dumoulin	0				X	100.00	77	35	82	67	88	87	89	67	30	67	59	82	68	63	54	59	79	73	0
16	Adam Pelech	0				X	100.00	78	35	76	66	87	82	91	66	30	65	62	77	69	58	53	64	79	72	0
17	Alec Martinez	0				X	100.00	70	35	85	67	79	88	73	67	30	66	62	77	70	72	57	38	57	71	0
18	Joel Edmundson	0				X	100.00	79	44	66	64	89	84	77	64	30	62	58	79	66	61	53	70	67	70	0
19	Kevan Miller	0				X	100.00	77	56	75	64	82	81	69	64	30	63	55	77	65	63	54	27	78	68	0
Rayé
1	Karl Alzner	0				X	100.00	63	35	74	57	87	52	54	57	30	47	44	57	55	77	58	68	49	58	0

	MOYENNE D'ÉQUIPE					100.00	71	39	76	70	80	84	84	69	49	69	66	70	70	67	56	58	74	72

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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	Robin Lehner	100.00	95	86	87	94	94	93	95	94	93	94	87	70	83	61	55	82	0
2	Kari Lehtonen	100.00	80	83	83	86	81	79	82	81	81	79	77	99	90	47	76	75	0
Rayé
1	Juuse Saros	100.00	91	77	85	68	90	89	91	90	89	90	83	56	74	60	43	75	0

	MOYENNE D'ÉQUIPE	100.00	89	82	85	83	88	87	89	88	88	88	82	75	82	56	58	77

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Michel Therrien	77	78	79	76	81	81	60	CAN	56	3	982,000$

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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	EG	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	John Carlson	COLUMBUS Blue Jackets	D	75	13	48	61	-1	32	0	69	124	127	43	97	10.24%	135	1962	26.17	9	12	21	82	258	0	1	1	0	282	1	0	0.00%	0	0	0.62	1	2	0	0	3	4	1
2	Chris Kreider	COLUMBUS Blue Jackets	LW	75	15	33	48	15	69	5	182	80	207	69	145	7.25%	11	1613	21.51	3	11	14	42	249	1	0	1	10	296	3	0	47.36%	625	0	0.59	0	9	1	0	4	3	3
3	Mats Zuccarello	COLUMBUS Blue Jackets	RW	75	17	26	43	-8	20	0	38	111	209	69	126	8.13%	14	1356	18.08	8	8	16	50	234	0	0	0	1	163	2	1	38.59%	298	0	0.63	1	6	0	0	0	3	3
4	Oskar Sundqvist	COLUMBUS Blue Jackets	C	75	15	27	42	13	24	0	88	146	146	39	109	10.27%	22	1433	19.11	2	9	11	36	249	0	1	1	6	156	3	1	48.58%	1801	0	0.59	0	4	0	0	2	2	5
5	Evgenii Dadonov	COLUMBUS Blue Jackets	RW	65	19	21	40	6	8	0	10	76	167	49	103	11.38%	9	1157	17.81	2	6	8	26	142	0	0	0	1	162	2	3	36.47%	85	1	0.69	1	4	0	0	3	3	1
6	Brian Dumoulin	COLUMBUS Blue Jackets	D	75	8	28	36	4	58	0	72	78	96	32	60	8.33%	94	1542	20.57	6	7	13	60	222	0	0	0	2	251	1	0	0.00%	0	0	0.47	0	0	0	0	1	0	2
7	Adam Pelech	COLUMBUS Blue Jackets	D	75	11	23	34	4	82	0	123	50	90	28	60	12.22%	77	1513	20.18	3	8	11	49	221	0	0	0	1	225	2	0	0.00%	0	0	0.45	0	0	0	0	1	3	0
8	Colton Parayko	COLUMBUS Blue Jackets	D	75	11	21	32	1	111	5	163	62	97	20	63	11.34%	102	1882	25.09	4	11	15	52	254	0	0	0	0	247	3	0	0.00%	0	0	0.34	1	2	0	1	1	2	3
9	Nick Foligno	COLUMBUS Blue Jackets	LW/RW	75	13	16	29	-7	73	5	167	64	141	45	97	9.22%	15	1394	18.60	2	7	9	33	234	0	0	0	2	203	3	0	53.47%	101	0	0.42	1	6	0	1	2	0	4
10	Andrew Cogliano	COLUMBUS Blue Jackets	C	75	8	14	22	-10	14	0	35	92	86	28	55	9.30%	7	1193	15.91	2	4	6	24	231	0	0	0	2	50	0	1	44.07%	1459	0	0.37	0	0	0	0	0	0	2
11	Benoit Pouliot	COLUMBUS Blue Jackets	LW	75	10	11	21	-9	22	0	45	52	126	35	81	7.94%	7	1038	13.85	2	1	3	19	108	0	0	0	0	15	1	2	30.85%	94	0	0.40	3	4	0	0	1	0	3
12	Jesper Fast	COLUMBUS Blue Jackets	RW	75	9	11	20	-1	26	0	86	53	72	29	67	12.50%	9	744	9.93	0	0	0	0	3	0	0	0	0	0	1	2	27.66%	47	0	0.54	0	0	0	0	1	4	3
13	Alec Martinez	COLUMBUS Blue Jackets	D	66	1	14	15	-15	20	0	25	52	25	8	21	4.00%	61	892	13.53	0	0	0	2	10	0	0	0	0	52	0	0	0.00%	0	0	0.34	0	1	0	0	0	0	0
14	Jason Zucker	COLUMBUS Blue Jackets	LW	75	9	5	14	-7	16	0	50	54	79	25	61	11.39%	4	780	10.41	0	0	0	0	6	0	0	0	0	0	0	1	42.62%	61	0	0.36	1	2	0	0	1	0	1
15	Casey Mittelstadt	COLUMBUS Blue Jackets	C	75	4	9	13	-3	20	0	16	66	61	19	53	6.56%	6	730	9.74	0	0	0	0	0	0	0	0	0	0	3	0	43.19%	734	0	0.36	0	0	0	0	1	1	0
16	Joel Edmundson	COLUMBUS Blue Jackets	D	60	4	8	12	-13	47	5	68	28	28	8	23	14.29%	43	639	10.66	0	0	0	0	4	0	0	0	1	55	0	1	0.00%	0	0	0.38	0	0	1	0	1	1	0
17	Devin Shore	COLUMBUS Blue Jackets	C	75	5	4	9	-20	17	5	46	91	63	10	45	7.94%	6	805	10.73	0	0	0	0	0	0	0	0	1	58	1	1	43.65%	850	0	0.22	0	0	0	1	0	2	0
18	Andrei Svechnikov	COLUMBUS Blue Jackets	RW	75	3	5	8	-20	34	0	71	34	67	32	47	4.48%	2	744	9.93	0	0	0	0	1	0	0	0	0	0	1	1	41.67%	48	0	0.21	0	1	0	0	1	0	0
19	Kevan Miller	COLUMBUS Blue Jackets	D	48	0	2	2	-7	53	5	65	17	6	4	13	0.00%	34	446	9.30	0	0	0	0	0	0	0	0	0	7	0	0	0.00%	0	0	0.09	0	0	1	0	0	0	0
20	Karl Alzner	COLUMBUS Blue Jackets	D	25	0	0	0	-4	16	0	6	1	1	0	2	0.00%	6	190	7.63	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1389	175	326	501	-82	762	30	1425	1331	1894	592	1328	9.24%	664	22064	15.89	43	84	127	475	2433	1	2	3	27	2231	27	14	44.98%	6203	1	0.45	9	41	3	3	23	28	31

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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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Robin Lehner	COLUMBUS Blue Jackets	68	26	33	9	0.896	2.96	4034	4	4	199	1913	1	1	0.700	30	68	0	7	1	2
2	Juuse Saros	COLUMBUS Blue Jackets	10	4	2	1	0.927	1.82	495	0	2	15	206	0	0	0.750	12	7	26	1	1	0
3	Kari Lehtonen	COLUMBUS Blue Jackets	2	0	0	0	1.000	0.00	37	0	0	0	14	0	0	0.000	0	0	49	0	0	0
Stats d'équipe Total ou en Moyenne			80	30	35	10	0.900	2.81	4567	4	6	214	2133	1	1	0.714	42	75	75	8	2	2

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Adam Pelech	COLUMBUS Blue Jackets	D	25	1994-08-16	No	99 Kg	191 CM	No	No	No	4	Avec Restriction	Pro & Farm	1,600,000$	1,600,000$	103,704$	No	Lien
Alec Martinez	COLUMBUS Blue Jackets	D	32	1987-07-26	No	95 Kg	185 CM	No	No	No	4	Sans Restriction	Pro & Farm	3,000,000$	3,000,000$	194,444$	No	Lien
Andrei Svechnikov	COLUMBUS Blue Jackets	RW	19	2000-03-26	Yes	89 Kg	188 CM	No	No	No	3	Avec Restriction	Pro & Farm	750,000$	750,000$	48,611$	No	Lien
Andrew Cogliano	COLUMBUS Blue Jackets	C	32	1987-06-14	No	80 Kg	178 CM	No	No	No	5	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	210,648$	No	Lien
Benoit Pouliot	COLUMBUS Blue Jackets	LW	32	1986-09-29	No	91 Kg	191 CM	No	No	No	1	Sans Restriction	Pro & Farm	1,265,000$	1,265,000$	81,991$	No	Lien
Brian Dumoulin	COLUMBUS Blue Jackets	D	27	1991-09-06	No	94 Kg	193 CM	No	No	No	1	Avec Restriction	Pro & Farm	4,100,000$	4,100,000$	265,741$	No	Lien
Casey Mittelstadt	COLUMBUS Blue Jackets	C	20	1998-11-22	Yes	92 Kg	185 CM	No	No	No	3	Avec Restriction	Pro & Farm	750,000$	750,000$	48,611$	No	Lien
Chris Kreider	COLUMBUS Blue Jackets	LW	28	1991-04-30	No	100 Kg	191 CM	No	No	No	6	Sans Restriction	Pro & Farm	4,500,000$	4,500,000$	291,667$	No	Lien
Colton Parayko	COLUMBUS Blue Jackets	D	26	1993-05-12	No	105 Kg	198 CM	No	No	No	4	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	356,481$	No	Lien
Devin Shore	COLUMBUS Blue Jackets	C	25	1994-07-19	No	93 Kg	185 CM	No	No	No	3	Avec Restriction	Pro & Farm	2,300,000$	2,300,000$	149,074$	No	Lien
Evgenii Dadonov	COLUMBUS Blue Jackets	RW	30	1989-03-12	No	84 Kg	180 CM	No	No	No	1	Sans Restriction	Pro & Farm	750,000$	750,000$	48,611$	No	Lien
Jason Zucker	COLUMBUS Blue Jackets	LW	27	1992-01-16	No	83 Kg	180 CM	No	No	No	5	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	356,481$	No	Lien
Jesper Fast	COLUMBUS Blue Jackets	RW	27	1991-12-02	No	87 Kg	185 CM	No	No	No	1	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	97,222$	No	Lien
Joel Edmundson	COLUMBUS Blue Jackets	D	26	1993-06-28	No	98 Kg	193 CM	No	No	No	2	Avec Restriction	Pro & Farm	3,500,000$	3,500,000$	226,852$	No	Lien
John Carlson	COLUMBUS Blue Jackets	D	29	1990-01-10	No	99 Kg	191 CM	No	No	No	5	Sans Restriction	Pro & Farm	8,000,000$	8,000,000$	518,519$	No	Lien
Juuse Saros	COLUMBUS Blue Jackets	G	24	1995-04-19	No	82 Kg	180 CM	No	No	No	3	Avec Restriction	Pro & Farm	1,750,000$	1,750,000$	113,426$	No	Lien
Kari Lehtonen	COLUMBUS Blue Jackets	G	35	1983-11-16	No	95 Kg	193 CM	No	No	No	1	Sans Restriction	Pro & Farm	5,900,000$	5,900,000$	382,407$	No	Lien
Karl Alzner	COLUMBUS Blue Jackets	D	30	1988-09-24	No	100 Kg	191 CM	No	No	No	2	Sans Restriction	Pro & Farm	4,625,000$	4,625,000$	299,769$	No	Lien
Kevan Miller	COLUMBUS Blue Jackets	D	31	1987-11-15	No	95 Kg	188 CM	No	No	No	1	Sans Restriction	Pro & Farm	2,625,000$	2,625,000$	170,139$	No	Lien
Mats Zuccarello	COLUMBUS Blue Jackets	RW	32	1987-09-01	No	84 Kg	173 CM	No	No	No	3	Sans Restriction	Pro & Farm	4,500,000$	4,500,000$	291,667$	No	Lien
Nick Foligno	COLUMBUS Blue Jackets	LW/RW	31	1987-10-31	No	92 Kg	183 CM	No	No	No	4	Sans Restriction	Pro & Farm	5,400,000$	5,400,000$	350,000$	No	Lien
Oskar Sundqvist	COLUMBUS Blue Jackets	C	25	1994-03-23	No	95 Kg	191 CM	No	No	No	2	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$	77,778$	No	Lien
Robin Lehner	COLUMBUS Blue Jackets	G	28	1991-07-24	No	109 Kg	193 CM	No	No	No	6	Sans Restriction	Pro & Farm	4,500,000$	4,500,000$	291,667$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	27.87	93 Kg	188 CM	3.04	3,337,609$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
76,765,000$	60,625,000$	51,300,000$	41,250,000$	25,750,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Chris Kreider	Oskar Sundqvist	Evgenii Dadonov	31	1	2	2
2	Nick Foligno	Andrew Cogliano	Mats Zuccarello	26	1	2	2
3	Jason Zucker	Devin Shore	Andrei Svechnikov	23	1	2	2
4	Benoit Pouliot	Casey Mittelstadt	Jesper Fast	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Colton Parayko	31	1	2	2
2	Brian Dumoulin	Adam Pelech	26	1	2	2
3	Alec Martinez	Joel Edmundson	23	1	2	2
4	John Carlson	Colton Parayko	20	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Chris Kreider	Oskar Sundqvist	Benoit Pouliot	55	1	2	2
2	Nick Foligno	Andrew Cogliano	Mats Zuccarello	45	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Colton Parayko	55	1	2	2
2	Brian Dumoulin	Adam Pelech	45	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Oskar Sundqvist	Chris Kreider	55	1	2	2
2	Andrew Cogliano	Nick Foligno	45	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Colton Parayko	55	1	2	2
2	Brian Dumoulin	Adam Pelech	45	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Oskar Sundqvist	55	1	2	2	John Carlson	Colton Parayko	55	1	2	2
2	Andrew Cogliano	45	1	2	2	Brian Dumoulin	Adam Pelech	45	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Oskar Sundqvist	Chris Kreider	55	1	2	2
2	Andrew Cogliano	Nick Foligno	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Colton Parayko	55	1	2	2
2	Brian Dumoulin	Adam Pelech	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Chris Kreider	Oskar Sundqvist	Evgenii Dadonov	John Carlson	Colton Parayko

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Chris Kreider	Oskar Sundqvist	Evgenii Dadonov	John Carlson	Colton Parayko

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Benoit Pouliot, Jason Zucker, Oskar Sundqvist	Benoit Pouliot, Jason Zucker	Benoit Pouliot

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Adam Pelech, Colton Parayko, John Carlson	Adam Pelech	Adam Pelech, John Carlson

Tirs de Pénalité
Chris Kreider, Oskar Sundqvist, Nick Foligno, Mats Zuccarello, Benoit Pouliot

Gardien
#1 : Robin Lehner, #2 : Kari Lehtonen

Lignes d'Attaque Perso. en Prol.
Chris Kreider, Evgenii Dadonov, Nick Foligno, Mats Zuccarello, Benoit Pouliot, Jason Zucker, Jason Zucker, Oskar Sundqvist, Andrei Svechnikov, Andrew Cogliano, Devin Shore

Lignes de Défense Perso. en Prol.
John Carlson, Colton Parayko, Brian Dumoulin, Adam Pelech, Alec Martinez

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	ANAHEIM Ducks	2	1	0	0	0	1	0	0	6	5	1	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	6	12	18	0	0	3	3	0	0	43	8	18	14	3	61	15	22	40	8	1	12.50%	11	0	100.00%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	46	28	51	15	26	12
2	ARIZONA Coyotes	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	7	13	20	0	0	2	1	4	0	34	6	10	18	0	41	18	8	40	8	3	37.50%	3	0	100.00%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	49	32	42	14	28	14
3	BOSTON Bruins	5	2	2	0	1	0	0	0	7	8	-1	2	1	1	0	0	0	0	0	1	3	-2	3	1	1	0	1	0	0	0	6	5	1	6	0.600	7	14	21	0	1	2	3	1	1	123	36	37	49	1	129	30	38	100	20	1	5.00%	17	2	88.24%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	134	95	106	35	60	31
4	CALGARY Flames	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	6	9	0	0	0	1	2	0	47	9	13	25	0	69	23	16	36	8	1	12.50%	8	3	62.50%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	43	29	50	16	25	12
5	CHICAGO Blackhawks	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	6	9	15	0	0	2	1	3	0	57	20	17	20	0	46	9	18	45	7	0	0.00%	8	1	87.50%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	48	32	45	14	26	13
6	COLORADO Avalanche	2	0	1	0	0	0	0	1	4	8	-4	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	1	4	-3	1	0.250	4	8	12	0	0	1	1	2	0	42	21	9	11	4	61	19	14	40	6	1	16.67%	7	2	71.43%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	48	32	48	15	27	14
7	DETROIT Red Wings	4	0	2	0	0	2	0	0	9	15	-6	2	0	1	0	0	1	0	0	4	7	-3	2	0	1	0	0	1	0	0	5	8	-3	2	0.250	9	17	26	1	0	3	3	3	0	103	44	28	29	2	155	45	36	73	13	2	15.38%	18	2	88.89%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	97	68	94	28	51	25
8	EDMONTON Oilers	2	0	1	0	1	0	0	0	5	7	-2	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	5	9	14	0	0	2	2	0	1	53	22	15	13	3	64	27	24	41	5	2	40.00%	12	2	83.33%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	43	30	56	14	23	11
9	MINNESOTA Wild	2	0	2	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	0	5	-5	0	0.000	2	4	6	0	0	0	0	2	0	34	10	10	14	0	57	17	38	39	4	0	0.00%	18	4	77.78%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	38	24	56	14	25	11
10	MONTREAL Canadiens	5	1	3	0	0	0	0	1	10	19	-9	2	1	1	0	0	0	0	0	5	5	0	3	0	2	0	0	0	0	1	5	14	-9	3	0.300	10	18	28	0	0	4	4	2	2	129	50	43	35	11	165	50	55	114	25	3	12.00%	24	7	70.83%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	115	78	125	38	64	31
11	NASHVILLE Predators	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	6	12	18	0	0	2	3	1	0	59	22	22	15	0	41	12	18	33	12	0	0.00%	9	5	44.44%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	52	36	40	15	26	14
12	NEW YORK Islanders	4	1	3	0	0	0	0	0	10	14	-4	2	0	2	0	0	0	0	0	2	8	-6	2	1	1	0	0	0	0	0	8	6	2	2	0.250	10	20	30	0	1	4	4	2	0	100	32	34	34	0	111	33	38	77	17	3	17.65%	18	5	72.22%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	91	61	96	30	52	27
13	NEW YORK Rangers	4	0	3	0	0	0	0	1	6	13	-7	2	0	1	0	0	0	0	1	4	6	-2	2	0	2	0	0	0	0	0	2	7	-5	1	0.125	6	10	16	0	0	3	1	2	0	88	27	30	29	5	117	41	55	81	14	2	14.29%	23	6	73.91%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	91	63	102	29	50	24
14	OTTAWA Senators	4	2	2	0	0	0	0	0	6	10	-4	2	1	1	0	0	0	0	0	1	4	-3	2	1	1	0	0	0	0	0	5	6	-1	4	0.500	6	12	18	0	1	3	1	2	0	102	31	40	31	0	125	43	40	80	18	4	22.22%	16	2	87.50%	1	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	91	62	98	30	50	24
15	PHILADELPHIA Flyers	3	2	0	0	1	0	0	0	11	5	6	1	1	0	0	0	0	0	0	5	2	3	2	1	0	0	1	0	0	0	6	3	3	6	1.000	11	21	32	0	1	7	0	3	1	83	35	16	30	2	98	21	45	57	13	4	30.77%	19	2	89.47%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	69	47	74	21	38	18
16	PITTSBURGH Penguins	5	1	2	0	1	1	0	0	14	16	-2	3	1	2	0	0	0	0	0	9	11	-2	2	0	0	0	1	1	0	0	5	5	0	5	0.500	14	21	35	0	0	4	4	5	1	139	45	41	47	6	153	46	68	67	18	1	5.56%	32	7	78.13%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	123	83	118	37	65	33
17	QUEBEC Nordiques	4	3	0	0	0	0	0	1	13	10	3	2	1	0	0	0	0	0	1	7	6	1	2	2	0	0	0	0	0	0	6	4	2	7	0.875	13	26	39	0	0	3	3	7	1	118	28	41	49	4	87	20	37	64	16	3	18.75%	15	3	80.00%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	103	70	89	28	51	26
18	SEATTLE Totems	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	10	15	0	0	1	1	3	0	49	10	19	20	0	61	19	20	37	7	1	14.29%	9	2	77.78%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	46	31	49	13	24	11
19	ST-LOUIS Blues	2	0	0	0	0	0	0	2	4	6	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	2	0.500	4	7	11	0	0	2	1	1	2	47	10	18	17	14	58	21	16	34	7	0	0.00%	7	0	100.00%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	50	35	53	13	26	13
20	TAMPA BAY Lightning	4	1	1	0	0	0	2	0	11	8	3	2	1	0	0	0	0	1	0	4	1	3	2	0	1	0	0	0	1	0	7	7	0	6	0.750	11	17	28	0	1	5	2	2	3	102	37	33	26	13	77	22	35	75	10	0	0.00%	14	2	85.71%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	108	77	87	28	53	27
21	TORONTO Maple Leafs	3	1	1	0	1	0	0	0	8	7	1	1	1	0	0	0	0	0	0	2	1	1	2	0	1	0	1	0	0	0	6	6	0	4	0.667	8	16	24	0	0	2	2	3	1	82	32	23	25	2	87	29	30	51	11	2	18.18%	13	2	84.62%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	70	49	72	21	38	18
	Total	75	21	35	0	6	4	3	6	178	221	-43	37	13	15	0	1	2	2	4	89	100	-11	38	8	20	0	5	2	1	2	89	121	-32	70	0.467	178	326	504	1	6	66	49	54	15	1894	624	587	647	77	2134	664	766	1425	289	43	14.88%	342	69	79.82%	1	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	1802	1237	1802	551	964	481
23	VANCOUVER Canucks	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	5	9	14	0	0	2	3	0	0	67	17	20	30	0	47	19	20	42	13	3	23.08%	9	4	55.56%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	50	35	44	14	25	13
24	VEGAS Golden Knights	3	2	1	0	0	0	0	0	5	3	2	2	1	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	0	3	4	0.667	5	10	15	0	1	3	0	2	0	77	31	23	23	0	81	31	34	66	10	2	20.00%	15	1	93.33%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	71	49	71	21	37	18
25	WASHINGTON Capitals	3	1	1	0	0	0	1	0	11	11	0	2	1	0	0	0	0	1	0	9	6	3	1	0	1	0	0	0	0	0	2	5	-3	4	0.667	11	18	29	0	0	4	4	2	1	82	29	19	30	6	91	36	31	53	10	3	30.00%	13	5	61.54%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	73	51	75	20	36	18
26	WINNIPEG Jets	2	0	1	0	1	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	1	0	0	0	3	2	1	2	0.500	4	7	11	0	0	2	1	0	1	34	12	8	13	1	52	18	10	40	9	1	11.11%	4	0	100.00%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	43	29	51	15	25	11
	_Since Last GM Reset	75	21	35	0	6	4	3	6	178	221	-43	37	13	15	0	1	2	2	4	89	100	-11	38	8	20	0	5	2	1	2	89	121	-32	70	0.467	178	326	504	1	6	66	49	54	15	1894	624	587	647	77	2134	664	766	1425	289	43	14.88%	342	69	79.82%	1	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	1802	1237	1802	551	964	481
	_Vs Conference	48	15	20	0	4	3	3	3	116	136	-20	23	9	9	0	0	1	2	2	53	60	-7	25	6	11	0	4	2	1	1	63	76	-13	50	0.521	116	210	326	1	5	44	31	34	11	1251	426	385	414	52	1395	416	508	892	185	28	15.14%	222	45	79.73%	1	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	1169	808	1141	351	615	307
	_Vs Division	19	5	9	0	2	1	1	1	52	59	-7	10	3	5	0	0	0	1	1	29	33	-4	9	2	4	0	2	1	0	0	23	26	-3	18	0.474	52	90	142	0	2	22	13	14	3	492	168	140	170	19	570	177	237	335	72	13	18.06%	105	25	76.19%	0	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	449	306	466	140	243	121

			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
75	70	L2	178	326	504	1894	2134	664	766	1425	1	6

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
75	21	35	6	4	3	6	178	221

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	13	15	1	2	2	4	89	100

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	8	20	5	2	1	2	89	121

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	4	0	0	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
289	43	14.88%	342	69	79.82%	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
624	587	647	77	66	49	54	15

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
1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%

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
1802	1237	1802	551	964	481

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 - 2019-07-30	1	COLUMBUS Blue Jackets	1	MONTREAL Canadiens	7	L			Sommaire du Match
2 - 2019-07-31	21	PITTSBURGH Penguins	7	COLUMBUS Blue Jackets	3	L			Sommaire du Match
3 - 2019-08-01	28	COLUMBUS Blue Jackets	1	BOSTON Bruins	3	L			Sommaire du Match
5 - 2019-08-03	42	COLUMBUS Blue Jackets	3	BOSTON Bruins	1	W			Sommaire du Match
6 - 2019-08-04	53	OTTAWA Senators	4	COLUMBUS Blue Jackets	0	L			Sommaire du Match
7 - 2019-08-05	74	WASHINGTON Capitals	4	COLUMBUS Blue Jackets	5	W	X	X	Sommaire du Match
8 - 2019-08-06	81	COLUMBUS Blue Jackets	1	NEW YORK Islanders	6	L			Sommaire du Match
9 - 2019-08-07	100	TAMPA BAY Lightning	0	COLUMBUS Blue Jackets	2	W			Sommaire du Match
10 - 2019-08-08	109	COLUMBUS Blue Jackets	4	TAMPA BAY Lightning	5	L			Sommaire du Match
12 - 2019-08-10	121	COLUMBUS Blue Jackets	2	TORONTO Maple Leafs	3	L			Sommaire du Match
13 - 2019-08-11	132	COLUMBUS Blue Jackets	1	PITTSBURGH Penguins	2	L	X		Sommaire du Match
14 - 2019-08-12	144	DETROIT Red Wings	3	COLUMBUS Blue Jackets	2	L	X		Sommaire du Match
15 - 2019-08-13	154	TORONTO Maple Leafs	1	COLUMBUS Blue Jackets	2	W			Sommaire du Match
17 - 2019-08-15	174	COLUMBUS Blue Jackets	1	NEW YORK Rangers	3	L			Sommaire du Match
18 - 2019-08-16	181	MONTREAL Canadiens	3	COLUMBUS Blue Jackets	0	L			Sommaire du Match
19 - 2019-08-17	194	COLUMBUS Blue Jackets	4	QUEBEC Nordiques	3	W			Sommaire du Match
21 - 2019-08-19	207	SEATTLE Totems	4	COLUMBUS Blue Jackets	3	L			Sommaire du Match
23 - 2019-08-21	223	COLORADO Avalanche	4	COLUMBUS Blue Jackets	3	L	X	X	Sommaire du Match
25 - 2019-08-23	244	COLUMBUS Blue Jackets	2	MONTREAL Canadiens	3	L	X	X	Sommaire du Match
27 - 2019-08-25	258	MONTREAL Canadiens	2	COLUMBUS Blue Jackets	5	W			Sommaire du Match
28 - 2019-08-26	266	COLUMBUS Blue Jackets	2	EDMONTON Oilers	5	L			Sommaire du Match
30 - 2019-08-28	278	EDMONTON Oilers	2	COLUMBUS Blue Jackets	3	W	X		Sommaire du Match
31 - 2019-08-29	290	COLUMBUS Blue Jackets	2	SEATTLE Totems	4	L			Sommaire du Match
32 - 2019-08-30	300	PITTSBURGH Penguins	2	COLUMBUS Blue Jackets	6	W			Sommaire du Match
33 - 2019-08-31	314	COLUMBUS Blue Jackets	2	NASHVILLE Predators	3	L			Sommaire du Match
35 - 2019-09-02	326	OTTAWA Senators	0	COLUMBUS Blue Jackets	1	W			Sommaire du Match
37 - 2019-09-04	351	ANAHEIM Ducks	3	COLUMBUS Blue Jackets	2	L	X		Sommaire du Match
38 - 2019-09-05	359	COLUMBUS Blue Jackets	2	BOSTON Bruins	1	W	X		Sommaire du Match
40 - 2019-09-07	373	COLUMBUS Blue Jackets	3	VEGAS Golden Knights	0	W			Sommaire du Match
42 - 2019-09-09	385	NEW YORK Islanders	4	COLUMBUS Blue Jackets	2	L			Sommaire du Match
43 - 2019-09-10	389	COLUMBUS Blue Jackets	1	OTTAWA Senators	4	L			Sommaire du Match
44 - 2019-09-11	407	COLUMBUS Blue Jackets	4	PITTSBURGH Penguins	3	W	X		Sommaire du Match
45 - 2019-09-12	412	WASHINGTON Capitals	2	COLUMBUS Blue Jackets	4	W			Sommaire du Match
47 - 2019-09-14	431	QUEBEC Nordiques	4	COLUMBUS Blue Jackets	3	L	X	X	Sommaire du Match
48 - 2019-09-15	449	NEW YORK Rangers	3	COLUMBUS Blue Jackets	2	L			Sommaire du Match
49 - 2019-09-16	457	COLUMBUS Blue Jackets	2	MONTREAL Canadiens	4	L			Sommaire du Match
50 - 2019-09-17	472	COLUMBUS Blue Jackets	2	ARIZONA Coyotes	5	L			Sommaire du Match
52 - 2019-09-19	482	BOSTON Bruins	3	COLUMBUS Blue Jackets	0	L			Sommaire du Match
54 - 2019-09-21	498	COLUMBUS Blue Jackets	1	CALGARY Flames	3	L			Sommaire du Match
55 - 2019-09-22	513	NASHVILLE Predators	6	COLUMBUS Blue Jackets	4	L			Sommaire du Match
56 - 2019-09-23	518	COLUMBUS Blue Jackets	4	TORONTO Maple Leafs	3	W	X		Sommaire du Match
57 - 2019-09-24	530	VANCOUVER Canucks	1	COLUMBUS Blue Jackets	4	W			Sommaire du Match
59 - 2019-09-26	551	COLUMBUS Blue Jackets	1	VANCOUVER Canucks	5	L			Sommaire du Match
60 - 2019-09-27	558	COLUMBUS Blue Jackets	7	NEW YORK Islanders	0	W			Sommaire du Match
61 - 2019-09-28	569	CALGARY Flames	5	COLUMBUS Blue Jackets	2	L			Sommaire du Match
62 - 2019-09-29	582	COLUMBUS Blue Jackets	1	NEW YORK Rangers	4	L			Sommaire du Match
63 - 2019-09-30	597	CHICAGO Blackhawks	2	COLUMBUS Blue Jackets	3	W			Sommaire du Match
65 - 2019-10-02	612	TAMPA BAY Lightning	1	COLUMBUS Blue Jackets	2	W	X	X	Sommaire du Match
66 - 2019-10-03	627	COLUMBUS Blue Jackets	2	DETROIT Red Wings	3	L	X		Sommaire du Match
67 - 2019-10-04	631	COLUMBUS Blue Jackets	0	MINNESOTA Wild	5	L			Sommaire du Match
68 - 2019-10-05	644	VEGAS Golden Knights	1	COLUMBUS Blue Jackets	2	W			Sommaire du Match
69 - 2019-10-06	662	MINNESOTA Wild	3	COLUMBUS Blue Jackets	2	L			Sommaire du Match
71 - 2019-10-08	681	COLUMBUS Blue Jackets	2	ST-LOUIS Blues	3	L	X	X	Sommaire du Match
72 - 2019-10-09	687	COLUMBUS Blue Jackets	3	WINNIPEG Jets	2	W	X		Sommaire du Match
73 - 2019-10-10	695	COLUMBUS Blue Jackets	1	PHILADELPHIA Flyers	0	W	X		Sommaire du Match
74 - 2019-10-11	702	BOSTON Bruins	0	COLUMBUS Blue Jackets	1	W			Sommaire du Match
76 - 2019-10-13	721	NEW YORK Islanders	4	COLUMBUS Blue Jackets	0	L			Sommaire du Match
77 - 2019-10-14	736	COLUMBUS Blue Jackets	3	TAMPA BAY Lightning	2	W	X	X	Sommaire du Match
78 - 2019-10-15	748	DETROIT Red Wings	4	COLUMBUS Blue Jackets	2	L			Sommaire du Match
80 - 2019-10-17	768	ST-LOUIS Blues	3	COLUMBUS Blue Jackets	2	L	X	X	Sommaire du Match
81 - 2019-10-18	779	COLUMBUS Blue Jackets	1	COLORADO Avalanche	4	L			Sommaire du Match
83 - 2019-10-20	796	COLUMBUS Blue Jackets	4	OTTAWA Senators	2	W			Sommaire du Match
84 - 2019-10-21	802	PITTSBURGH Penguins	2	COLUMBUS Blue Jackets	0	L			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
85 - 2019-10-22	810	COLUMBUS Blue Jackets	3	DETROIT Red Wings	5	L			Sommaire du Match
86 - 2019-10-23	825	NEW YORK Rangers	3	COLUMBUS Blue Jackets	2	L	X	X	Sommaire du Match
87 - 2019-10-24	829	COLUMBUS Blue Jackets	2	QUEBEC Nordiques	1	W			Sommaire du Match
88 - 2019-10-25	841	COLUMBUS Blue Jackets	4	ANAHEIM Ducks	2	W			Sommaire du Match
89 - 2019-10-26	856	ARIZONA Coyotes	1	COLUMBUS Blue Jackets	5	W			Sommaire du Match
91 - 2019-10-28	878	QUEBEC Nordiques	2	COLUMBUS Blue Jackets	4	W			Sommaire du Match
92 - 2019-10-29	888	COLUMBUS Blue Jackets	5	PHILADELPHIA Flyers	3	W			Sommaire du Match
93 - 2019-10-30	898	COLUMBUS Blue Jackets	3	CHICAGO Blackhawks	4	L			Sommaire du Match
95 - 2019-11-01	910	WINNIPEG Jets	3	COLUMBUS Blue Jackets	1	L			Sommaire du Match
97 - 2019-11-03	935	PHILADELPHIA Flyers	2	COLUMBUS Blue Jackets	5	W			Sommaire du Match
100 - 2019-11-06	955	VEGAS Golden Knights	2	COLUMBUS Blue Jackets	0	L			Sommaire du Match
101 - 2019-11-07	964	COLUMBUS Blue Jackets	2	WASHINGTON Capitals	5	L			Sommaire du Match
102 - 2019-11-08	980	TORONTO Maple Leafs	-	COLUMBUS Blue Jackets	-
104 - 2019-11-10	990	COLUMBUS Blue Jackets	-	WASHINGTON Capitals	-
106 - 2019-11-12	1005	PHILADELPHIA Flyers	-	COLUMBUS 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	5000	1000
Prix des Billets	195	190	185	180	225
Assistance	125,987	88,466	30,841	74,048	30,299
Attendance PCT	56.75%	47.82%	41.68%	40.03%	81.89%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
2	9450 - 49.74%	2,533,956$	93,756,374$	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
72,707,880$	76,765,000$	76,765,000$	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
76,765,000$	71,789,487$	0$	23	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
5,067,912$	7	719,880$	5,039,160$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
5,117,748$	76,765,000$	219,850,167$	219,800,331$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Chris Kreider	AGE:28	PO:69	OV:76
Nick Foligno	AGE:31	PO:49	OV:74
Jason Zucker	AGE:27	PO:58	OV:72
Benoit Pouliot	AGE:32	PO:55	OV:72
Adam Erne	AGE:24	PO:75	OV:69

Oskar Sundqvist	AGE:25	PO:62	OV:72
Devin Shore	AGE:25	PO:65	OV:71
Andrew Cogliano	AGE:32	PO:50	OV:71
*Casey Mittelstadt	AGE:20	PO:87	OV:69
Tyson Jost	AGE:21	PO:86	OV:68
*Henrik Borgstrom	AGE:22	PO:81	OV:67
Cole Cassels	AGE:24	PO:44	OV:60
T.J. Tynan	AGE:27	PO:63	OV:57

Evgenii Dadonov	AGE:30	PO:52	OV:75
Nick Foligno	AGE:31	PO:49	OV:74
Mats Zuccarello	AGE:32	PO:27	OV:74
*Andrei Svechnikov	AGE:19	PO:93	OV:71
Jesper Fast	AGE:27	PO:41	OV:70
Nail Yakupov	AGE:25	PO:88	OV:67
Brett Ritchie	AGE:26	PO:70	OV:66
Cole Cassels	AGE:24	PO:44	OV:60
Nikita Scherbak	AGE:23	PO:78	OV:58

Défense #1

Défense #2

Gardien

John Carlson	AGE:29	PO:65	OV:82
Colton Parayko	AGE:26	PO:60	OV:75
Brian Dumoulin	AGE:27	PO:59	OV:73
Adam Pelech	AGE:25	PO:64	OV:72
Alec Martinez	AGE:32	PO:38	OV:71
Joel Edmundson	AGE:26	PO:70	OV:70

Kevan Miller	AGE:31	PO:27	OV:68
Joe Morrow	AGE:26	PO:69	OV:63
Karl Alzner	AGE:30	PO:68	OV:58
Ryan Murphy	AGE:26	PO:81	OV:55
Julius Bergman	AGE:23	PO:43	OV:52
Nick Ebert	AGE:25	PO:79	OV:50

Robin Lehner	AGE:28	PO:61	OV:82
Juuse Saros	AGE:24	PO:60	OV:75
Kari Lehtonen	AGE:35	PO:47	OV:75
Garret Sparks	AGE:26	PO:47	OV:71
Spencer Martin	AGE:24	PO:66	OV:66
Jon Gillies	AGE:25	PO:63	OV:64

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
Alexander Romanov	COLUMBUS Blue Jackets	31	56
Andrew Welinski	COLUMBUS Blue Jackets	19	61
Anton Andersson	COLUMBUS Blue Jackets
Arvid Henrikson	COLUMBUS Blue Jackets	27	68
Bowen Byram	COLUMBUS Blue Jackets	33	3
Brandon Halverson	COLUMBUS Blue Jackets	23	63
Daniel O'Regan	COLUMBUS Blue Jackets	20	86
Denis Sminov	COLUMBUS Blue Jackets
Dominic Toninato	COLUMBUS Blue Jackets	20	88
Erik Nystrom	COLUMBUS Blue Jackets	20	87
Grant Mismash	COLUMBUS Blue Jackets	29	52
Isaac Ratcliffe	COLUMBUS Blue Jackets	29	34
Jasper Weatherby	COLUMBUS Blue Jackets	31	134
Jesper Lindgrend	COLUMBUS Blue Jackets	25	75
John Ludvig	COLUMBUS Blue Jackets	33	159
John Quenneville	COLUMBUS Blue Jackets	24	21
Jordan Kyrou	COLUMBUS Blue Jackets	27	20
Julius Nattinen	COLUMBUS Blue Jackets	25	26
Karl Henriksson	COLUMBUS Blue Jackets	33	55
Lukas Parik	COLUMBUS Blue Jackets	33	133
Lukas Vejdemo	COLUMBUS Blue Jackets	25	29
Luke Martin	COLUMBUS Blue Jackets	29	60
Marcus Hogberg	COLUMBUS Blue Jackets
Martin Fehervary	COLUMBUS Blue Jackets	31	82
Mattew Phillips	COLUMBUS Blue Jackets	28	57
Mattias Norlinder	COLUMBUS Blue Jackets	33	81
Maxim Chudinov	COLUMBUS Blue Jackets
Michael Vukojevic	COLUMBUS Blue Jackets	33	107
Nicholas Merkley	COLUMBUS Blue Jackets	26	15
Noel Hoefenmayer	COLUMBUS Blue Jackets
Ostap Safin	COLUMBUS Blue Jackets
Paul Bittner	COLUMBUS Blue Jackets	26	17
Petrus Palmu	COLUMBUS Blue Jackets
Raphael Lavoie	COLUMBUS Blue Jackets	33	29
Rasmus Asplund	COLUMBUS Blue Jackets	27	16
Rasmus Sandin	COLUMBUS Blue Jackets	31	30
Ryan Collins	COLUMBUS Blue Jackets	23	50
Simon Fernholm	COLUMBUS Blue Jackets	20	96
Spencer Smallman	COLUMBUS Blue Jackets	26	69
Toni Utunen	COLUMBUS Blue Jackets	31	160
Veini Vehvilainen	COLUMBUS Blue Jackets	28	83
Ville Husso	COLUMBUS Blue Jackets	24	48

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
33	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
34	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
35	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
36	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
37	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ

[2019-08-07 21:43:00] - Casey Mittelstadt was added to COLUMBUS Blue Jackets.
[2019-08-07 21:42:53] - Henrik Borgstrom was added to COLUMBUS Blue Jackets.
[2019-08-07 21:42:43] - Andrei Svechnikov was added to COLUMBUS Blue Jackets.
[2019-07-19 21:51:57] - John Ludvig has been added to COLUMBUS Blue Jackets.
[2019-07-19 21:40:03] - Lukas Parik has been added to COLUMBUS Blue Jackets.
[2019-07-12 19:35:35] - Michael Vukojevic has been added to COLUMBUS Blue Jackets.
[2019-07-10 21:20:44] - Mattias Norlinder has been added to COLUMBUS Blue Jackets.
[2019-07-10 21:07:35] - Karl Henriksson has been added to COLUMBUS Blue Jackets.
[2019-07-10 20:51:40] - Raphael Lavoie has been added to COLUMBUS Blue Jackets.
[2019-07-09 21:59:00] - Bowen Byram has been added to COLUMBUS Blue Jackets.
[2019-06-04 19:58:57] - CLEVELAND Monsters was eliminated at round 1 of year 32.
[2019-05-30 19:05:03] - COLUMBUS Blue Jackets didn't make playoff for year 32.
[2019-05-16 19:10:32] - Joseph LaBate was released.
[2019-05-16 19:10:32] - COLUMBUS Blue Jackets paid $308,468 to release Joseph LaBate.
[2019-05-16 19:10:22] - Kyle Rau was released.
[2019-05-16 19:10:22] - COLUMBUS Blue Jackets paid $308,468 to release Kyle Rau.
[2019-05-16 19:10:09] - Scott Wilson was released.
[2019-05-16 19:10:09] - COLUMBUS Blue Jackets paid $221,855 to release Scott Wilson.
[2019-05-16 19:08:52] - Mikko Vainonen has been deleted from COLUMBUS Blue Jackets.
[2019-05-16 19:08:46] - Mario Lucia has been deleted from COLUMBUS Blue Jackets.
[2019-05-16 19:08:33] - Brandon Whitney has been deleted from COLUMBUS Blue Jackets.
[2019-05-16 19:08:28] - Anton Zlobin has been deleted from COLUMBUS Blue Jackets.
[2019-05-16 19:08:13] - Anthony Florentino has been deleted from COLUMBUS Blue Jackets.

[2019-11-20 19:55:20] Both COLUMBUS Blue Jackets and CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-11-19 22:48:18] COLUMBUS Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2019-11-18 20:15:41] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-11-17 22:28:38] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-11-16 22:21:20] COLUMBUS Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2019-11-14 20:07:23] Both COLUMBUS Blue Jackets and CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-11-13 21:11:16] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-11-12 20:22:58] Both COLUMBUS Blue Jackets and CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-11-11 20:40:46] COLUMBUS Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2019-11-10 22:31:15] Both COLUMBUS Blue Jackets and CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-11-09 21:10:12] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-11-08 20:18:25] COLUMBUS Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2019-11-08 20:17:59] Auto Lines Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-08 20:17:59] Auto Roster Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-07 18:37:21] Auto Lines Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-07 18:37:21] Auto Roster Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-06 21:00:54] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased. But, COLUMBUS Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-06 21:00:30] Auto Lines Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-06 21:00:30] Auto Roster Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-05 20:03:27] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased. But, COLUMBUS Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-05 20:03:27] Brett Ritchie from CLEVELAND Monsters has scored a Hat Trick!
[2019-11-05 20:01:37] Auto Lines Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-05 20:01:37] Auto Roster Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-04 20:34:24] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased. But, COLUMBUS Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-04 20:33:55] Auto Lines Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-04 20:33:55] Auto Roster Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-03 23:08:13] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased. But, COLUMBUS Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-03 23:07:45] Auto Lines Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-03 23:07:45] Auto Roster Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-02 20:15:51] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased. But, COLUMBUS Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-02 20:11:37] Auto Lines Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-02 20:11:37] Auto Roster Partial Function has been run for COLUMBUS Blue Jackets.
[2019-11-01 19:53:11] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-31 19:51:25] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased. But, COLUMBUS Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-31 19:47:04] Auto Lines Partial Function has been run for COLUMBUS Blue Jackets.
[2019-10-31 19:47:04] Auto Roster Partial Function has been run for COLUMBUS Blue Jackets.
[2019-10-30 19:46:18] Colton Parayko from COLUMBUS Blue Jackets is back from Bruised Left Arm Injury.
[2019-10-30 19:46:18] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased. But, COLUMBUS Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-30 19:46:14] Game 768 - Colton Parayko from COLUMBUS Blue Jackets is injured (Bruised Left Arm) and is out for 1 days.
[2019-10-30 19:45:04] Auto Lines Partial Function has been run for COLUMBUS Blue Jackets.
[2019-10-30 19:45:04] Auto Roster Partial Function has been run for COLUMBUS Blue Jackets.
[2019-10-28 21:44:13] CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased. But, COLUMBUS Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-10-28 21:43:41] Successfully loaded COLUMBUS Blue Jackets lines done with Web Base Client and SQLite Database.
[2019-10-28 21:43:17] Successfully loaded COLUMBUS Blue Jackets lines done with Web Base Client and SQLite Database.
[2019-10-27 19:07:09] Both COLUMBUS Blue Jackets and CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-26 18:41:22] Both COLUMBUS Blue Jackets and CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-24 23:02:36] Both COLUMBUS Blue Jackets and CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-23 19:33:29] Both COLUMBUS Blue Jackets and CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.
[2019-10-22 19:09:34] COLUMBUS Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[2019-10-21 20:27:23] Both COLUMBUS Blue Jackets and CLEVELAND Monsters lines for next game are empty. Current rosters/lines are not erased.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
32	75	21	35	0	6	4	3	6	178	221	-43	37	13	15	0	1	2	2	4	89	100	-11	38	8	20	0	5	2	1	2	89	121	-32	70	178	326	504	1	6	66	49	54	15	1894	624	587	647	77	2134	664	766	1425	289	43	14.88%	342	69	79.82%	1	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	1802	1237	1802	551	964	481
Total Saison Régulière	75	21	35	0	6	4	3	6	178	221	-43	37	13	15	0	1	2	2	4	89	100	-11	38	8	20	0	5	2	1	2	89	121	-32	70	178	326	504	1	6	66	49	54	15	1894	624	587	647	77	2134	664	766	1425	289	43	14.88%	342	69	79.82%	1	1075	2389	45.00%	1198	2586	46.33%	517	1141	45.31%	1802	1237	1802	551	964	481

Année	R1	R2	R3	R4	R5	R6	R7
33	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
34	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
35	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
36	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
37	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ

Année	R1	R2	R3	R4	R5	R6	R7
33	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
34	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
35	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
36	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
37	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ

Année	R1	R2	R3	R4	R5	R6	R7
33	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
34	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
35	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
36	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
37	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ