Cleveland Monsters
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Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Chicago Blackhawks 8-9-1, 17pts	1	FINAL	3	Columbus Blue Jackets 14-5-2, 30pts

Team Stats
L2	Streak	W2
5-2-0	Home Record	7-3-1
3-7-1	Away Record	7-2-1
6-4-0	Last 10 Games	7-1-2
3.00	Buts par match	2.81
3.00	Buts contre par match	2.00
21.15%	Pourcentage en avantage numérique	27.40%
84.09%	Pourcentage en désavantage numérique	89.19%

Columbus Blue Jackets
14-5-2, 30pts

FINAL

New Jersey Devils
6-12-0, 12pts

Team Stats
W2	Streak	L3
7-3-1	Home Record	3-6-0
7-2-1	Away Record	3-6-0
7-1-2	Last 10 Games	3-7-0
2.81	Buts par match	2.33
2.00	Buts contre par match	2.72
27.40%	Pourcentage en avantage numérique	19.35%
89.19%	Pourcentage en désavantage numérique	83.87%

Columbus Blue Jackets
14-5-2, 30pts

2023-11-17

Carolina Hurricanes
6-11-2, 14pts

Statistiques d’équipe
W2	Séquence	L1
7-3-1	Fiche domicile	3-5-0
7-2-1	Fiche visiteur	3-6-2
7-1-2	10 derniers matchs	3-6-1
2.81	Buts par match	2.47
2.00	Buts contre par match	2.47
27.40%	Pourcentage en avantage numérique	16.33%
89.19%	Pourcentage en désavantage numérique	78.87%

Boston Bruins
9-7-3, 21pts

2023-11-18

Columbus Blue Jackets
14-5-2, 30pts

Statistiques d’équipe
W1	Séquence	W2
4-3-2	Fiche domicile	7-3-1
5-4-1	Fiche visiteur	7-2-1
4-4-2	10 derniers matchs	7-1-2
2.89	Buts par match	2.81
2.84	Buts contre par match	2.81
16.39%	Pourcentage en avantage numérique	27.40%
78.72%	Pourcentage en désavantage numérique	89.19%

Montreal Canadiens
6-12-2, 14pts

2023-11-20

Columbus Blue Jackets
14-5-2, 30pts

Statistiques d’équipe
W1	Séquence	W2
4-6-1	Fiche domicile	7-3-1
2-6-1	Fiche visiteur	7-2-1
4-6-0	10 derniers matchs	7-1-2
2.60	Buts par match	2.81
3.15	Buts contre par match	2.81
17.91%	Pourcentage en avantage numérique	27.40%
75.00%	Pourcentage en désavantage numérique	89.19%

Meneurs d'équipe
	Buts Brock Nelson 13	Passes Brad Marchand 19

	Points Brad Marchand 29	Plus/Moins Brock Nelson 6

	Victoires Thatcher Demko 7	Pourcentage d’arrêts Thatcher Demko 0.945

Statistiques d’équipe
Buts pour 59 2.81 GFG	Tirs pour 733 34.90 Avg	Pourcentage en avantage numérique 27.4% 20 GF	Début de zone offensive 39.2%
Buts contre 42 2.00 GAA	Tirs contre 687 32.71 Avg	Pourcentage en désavantage numérique 89.2%% 8 GA	Début de la zone défensive 39.2%

Informations de l'équipe
	Directeur général	Jean Deslauriers
	Entraîneur	Jim Montgomery
	Division	METROPOLITAINE
	Conférence	EASTERN CONFERENCE
	Capitaine
	Assistant #1	Brent Burns
	Assistant #2
Informations de l’aréna
	Nom	Nationwide Arena
	Capacité	18,000
	Assistance	17,865
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	27
	Limite contact	47 / 100
	Espoirs	25
Plafond salarial
	Cap Salarial de la Saison estimé	78,409,523$
	Plafond salarial disponible	5,090,477$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	20,709,585$
	Dépenses annuelles à ce jour	19,788,796$
	Revenus de la saison estimés	56,480,686$
	Dépenses de la saison estimées	61,650,836$
	Compte bancaire actuel	186,492,396$
	Compte bancaire projeté	178,755,297$

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

#	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	Âge	Contrat	Salaire moyen
1	Brad Marchand	0	X	X	X		99.00	83	44	61	81	65	89	87	85	55	86	83	78	82	88	84	33	69	76	2	35	2	6,125,000$
2	Brock Nelson	0	X	X	X		99.00	64	42	85	75	89	91	89	80	78	75	83	70	79	84	81	56	69	73	0	32	3	7,000,000$
3	Charlie Coyle	0	X	X	X		99.00	67	45	87	72	87	86	92	68	81	68	70	85	67	82	78	59	58	70	2	31	1	5,250,000$
4	Mason Marchment	0	X	X			100.00	76	48	70	75	88	85	83	72	60	76	74	67	72	76	71	47	63	70	0	28	4	4,750,000$
5	Anthony Beauvillier	0		X	X		100.00	61	34	90	76	67	87	90	75	55	74	74	69	74	75	69	72	62	69	2	26	2	3,800,000$
6	Pavel Zacha	0	X	X	X		100.00	64	42	91	75	89	87	89	74	78	74	72	65	69	72	71	80	62	69	2	26	4	4,500,000$
7	Robby Fabbri	0	X	X	X		100.00	75	39	78	76	69	87	75	74	77	71	72	65	76	75	76	73	62	68	0	27	3	4,000,000$
8	Filip Chytil	0	X	X	X		100.00	61	42	88	77	82	86	87	74	78	71	70	68	73	68	71	75	60	68	2	24	4	4,400,000$
9	Logan OConnor	0	X	X	X		100.00	70	45	86	71	69	84	90	67	66	67	62	87	65	70	70	69	60	67	0	27	4	1,000,000$
10	Keegan Kolesar	0	X	X	X		100.00	90	82	73	65	84	80	88	62	70	65	60	69	66	71	69	60	61	65	2	26	4	1,400,000$
11	Milan Lucic	0		X	X		100.00	88	88	73	64	91	79	90	61	58	62	61	61	63	87	80	39	54	64	0	35	2	1,000,000$
12	Patrick Maroon	0		X	X		100.00	82	86	59	65	90	78	90	61	57	62	61	59	65	79	80	53	62	63	0	35	2	1,800,000$
13	Brent Burns (A)	0				X	99.00	75	44	81	76	94	93	94	77	30	81	71	86	61	93	83	34	61	77	2	38	2	7,720,000$
14	Andrew Peeke	0				X	100.00	87	45	82	65	88	92	90	65	30	66	59	90	52	62	62	70	61	72	2	25	4	2,750,000$
15	Cody Ceci	0				X	100.00	75	41	93	65	82	91	90	64	30	71	57	89	49	80	75	64	61	72	0	29	3	3,250,000$
16	Kevin Shattenkirk	0				X	100.00	70	40	79	73	77	91	90	70	30	72	63	82	54	85	78	57	60	72	2	34	4	5,700,000$
17	Mike Reilly	2				X	100.00	68	40	80	72	77	87	92	72	30	74	61	77	49	80	75	46	59	70	1	30	4	2,500,000$
18	Justin Schultz	0				X	100.00	63	41	86	72	79	85	84	69	30	77	59	74	52	86	74	51	59	69	2	33	4	3,700,000$
Rayé
Équipe Mineure
1	Zack MacEwen	0	X	X	X		100.00	86	82	79	70	86	78	85	68	77	66	68	65	66	72	68	47	49	67	0	27	4	1,000,000$
2	Morgan Barron (R)	0	X				100.00	77	41	67	64	90	83	83	65	75	64	62	78	62	63	63	75	43	66	0	24	1	900,000$
3	Trey Fix Wolansky	0	X	X	X		100.00	62	46	75	67	68	89	84	66	62	66	66	68	62	64	65	62	49	65	0	24	2	700,000$
4	Mason Shaw	0	X	X			100.00	65	55	62	66	67	84	85	64	75	61	68	69	63	65	63	63	32	64	1	25	1	700,000$
5	Austin Wagner	0		X	X		100.00	77	55	79	67	79	77	81	61	60	60	60	62	63	63	66	56	43	63	1	26	3	700,000$
6	Adam Klapka	0		X	X		100.00	96	57	66	60	99	81	70	58	50	57	60	63	55	63	60	65	45	62	0	23	4	875,000$
7	Lane Pederson	0	X				100.00	75	49	80	63	81	81	78	57	78	60	64	59	64	69	65	59	46	62	0	26	1	775,000$
8	Marco Rossi (R)	0	X	X			100.00	57	40	76	70	69	88	88	68	75	64	62	50	66	56	41	87	45	62	2	22	1	894,167$
9	Marian Studenic (R)	0			X		100.00	66	55	80	63	75	80	82	51	52	61	60	68	62	52	47	75	46	61	0	25	1	700,000$
10	Luke Toporowski (R)	0	X	X	X		100.00	77	50	77	60	77	75	72	62	60	61	61	60	62	50	50	66	48	60	0	22	4	875,000$
11	Justin Scott	0	X				100.00	69	42	78	58	78	76	80	54	61	55	56	63	54	70	66	55	44	60	0	28	1	775,000$
12	Ryan Suzuki (R)	0	X				100.00	61	40	86	61	70	74	75	60	67	61	60	57	60	62	60	63	44	60	0	22	4	1,300,000$
13	Luka Burzan	0	X				100.00	62	36	88	55	71	67	52	53	60	56	58	59	54	53	55	77	42	56	0	23	2	775,000$
14	Ozzy Wiesblatt (R)	0	X		X		100.00	64	39	78	57	67	69	67	55	58	58	57	42	54	52	66	77	44	55	0	21	2	835,833$
15	Mitchell Hoelscher (R)	0	X				100.00	55	45	77	56	64	71	73	54	62	55	56	52	55	55	60	89	43	55	0	23	2	700,000$
16	Gabriel Carlsson	0				X	100.00	76	41	84	63	88	76	78	62	30	63	60	67	55	70	69	82	24	66	2	26	4	2,000,000$
17	Jordan Harris (R)	0				X	100.00	66	40	80	67	68	89	73	67	30	70	60	72	60	62	42	79	49	65	2	23	3	1,400,000$
18	Ryan Merkley (R)	0				X	100.00	61	40	74	66	72	83	84	64	30	63	54	60	56	43	43	65	38	61	0	23	3	1,400,000$
19	Dmitry Osipov	0				X	100.00	83	74	63	54	92	62	79	52	30	50	53	60	56	68	65	52	47	61	0	27	3	775,000$
20	James Greenway (R)	0				X	100.00	86	55	66	55	95	67	66	55	30	55	55	62	55	60	40	66	40	60	0	25	3	775,000$
21	Turner Ottenbreit	0				X	100.00	73	49	71	55	82	66	83	53	30	55	54	57	48	66	64	53	43	60	0	26	3	700,000$
22	Jeremie Biakabutuka (R)	0				X	100.00	80	45	70	55	77	75	74	55	30	55	52	58	55	45	50	60	44	59	0	21	4	875,000$
23	Kodie Curran	0				X	100.00	77	31	78	66	80	75	76	60	30	60	58	68	58	75	75	30	39	66	0	33	2	752,000$

	MOYENNE D’ÉQUIPE						99.78	73	49	80	72	82	87	88	71	55	72	67	75	65	79	75	58	61	70

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

#	Nom du gardien	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Thatcher Demko	0	100.00	90	95	90	88	91	91	93	92	91	92	91	71	81	63	69	86	2	27	3	5,000,000$
Rayé
1	Linus Ullmark	0	99.00	97	95	90	96	96	95	97	97	96	96	96	76	84	54	66	90	0	30	1	1,500,000$
Équipe Mineure
1	Clay Stevenson (R)	0	100.00	76	70	70	85	75	74	76	76	76	76	75	64	71	43	48	73	0	24	4	875,000$
2	Matthew Villalta (R)	0	100.00	73	72	72	76	71	74	73	69	72	73	72	66	71	65	43	70	0	24	2	700,000$
3	Colten Ellis (R)	0	100.00	70	77	70	75	72	72	72	72	75	72	70	65	40	77	34	69	2	23	1	850,833$
4	Jack LaFontaine (R)	0	100.00	69	70	70	81	68	69	69	67	67	67	65	65	40	77	34	66	0	25	1	775,000$

	MOYENNE D’ÉQUIPE		99.50	94	95	90	92	94	93	95	95	94	94	94	74	83	59	68	88

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jim Montgomery	74	84	88	73	81	75	68	CAN	53	2	2,500,000$

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

#	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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brad Marchand	Columbus Blue Jackets	C/LW/RW	21	10	19	29	6	28	0	39	29	69	23	46	14.49%	14	450	21.45	2	9	11	12	56	2	71	3	0	44.18%	498	34	14	1	1.29	1	3	0	0	0	1	2	3
2	Brock Nelson	Columbus Blue Jackets	C/LW/RW	21	13	12	25	6	6	0	19	21	87	26	53	14.94%	11	437	20.84	8	2	10	21	56	2	53	4	1	53.73%	67	18	8	1	1.14	2	3	0	0	0	3	3	2
3	Anthony Beauvillier	Columbus Blue Jackets	LW/RW	21	6	7	13	-3	2	0	17	13	56	22	43	10.71%	7	369	17.57	4	3	7	12	46	2	38	2	0	53.85%	13	22	6	0	0.70	1	3	0	0	0	0	3	1
4	Robby Fabbri	Columbus Blue Jackets	C/LW/RW	21	6	7	13	0	6	0	33	9	64	20	32	9.38%	5	329	15.71	1	5	6	6	53	0	0	1	0	50.00%	22	27	2	0	0.79	0	0	0	0	0	1	0	1
5	Mason Marchment	Columbus Blue Jackets	C/LW	21	5	7	12	1	37	5	31	13	66	19	39	7.58%	5	311	14.86	1	3	4	7	46	0	0	1	0	30.00%	10	25	4	0	0.77	0	1	0	0	1	0	0	1
6	Brent Burns	Columbus Blue Jackets	D	21	2	6	8	4	6	0	27	36	56	19	22	3.57%	45	551	26.28	1	2	3	8	60	1	74	0	0	0.00%	0	16	14	0	0.29	0	0	0	0	0	0	0	1
7	Logan OConnor	Columbus Blue Jackets	C/LW/RW	21	2	6	8	3	8	0	20	20	21	7	13	9.52%	6	266	12.67	0	0	0	2	2	0	1	0	0	33.33%	6	4	6	0	0.60	0	0	0	0	0	1	0	0
8	Andrew Peeke	Columbus Blue Jackets	D	21	2	5	7	-1	25	5	29	38	29	12	16	6.90%	32	454	21.63	0	3	3	2	43	0	55	0	0	0.00%	0	8	22	0	0.31	0	0	0	0	1	0	0	0
9	Kevin Shattenkirk	Columbus Blue Jackets	D	21	1	6	7	2	10	0	16	26	28	13	9	3.57%	28	450	21.47	1	4	5	11	55	0	4	0	0	0.00%	0	9	26	0	0.31	0	0	0	0	0	0	1	0
10	Filip Chytil	Columbus Blue Jackets	C/LW/RW	21	4	3	7	4	6	0	5	18	39	10	20	10.26%	8	262	12.50	0	0	0	0	0	0	0	0	0	50.79%	189	11	4	0	0.53	0	0	0	0	0	0	0	0
11	Pavel Zacha	Columbus Blue Jackets	C/LW/RW	21	2	4	6	5	2	0	21	14	28	8	20	7.14%	8	286	13.64	0	0	0	0	2	0	0	1	1	50.00%	38	6	4	0	0.42	0	0	0	0	0	0	0	1
12	Cody Ceci	Columbus Blue Jackets	D	21	1	4	5	0	2	0	17	25	31	14	16	3.23%	37	455	21.71	0	1	1	1	45	0	53	1	0	0.00%	0	5	17	0	0.22	0	0	0	0	0	0	0	0
13	Charlie Coyle	Columbus Blue Jackets	C/LW/RW	21	2	2	4	-2	2	0	14	35	49	13	18	4.08%	22	412	19.62	2	0	2	5	46	6	84	0	0	55.29%	378	6	10	0	0.19	1	3	0	0	0	0	1	1
14	Keegan Kolesar	Columbus Blue Jackets	C/LW/RW	21	0	2	2	-1	5	5	11	11	31	6	18	0.00%	6	184	8.80	0	0	0	1	3	0	8	0	0	53.47%	101	11	5	0	0.22	0	0	1	0	0	0	0	0
15	Patrick Maroon	Columbus Blue Jackets	LW/RW	21	2	0	2	-1	34	10	20	7	18	6	9	11.11%	3	166	7.93	0	0	0	0	0	0	0	0	0	55.56%	9	5	2	0	0.24	0	0	1	0	1	0	0	0
16	Mike Reilly	Columbus Blue Jackets	D	21	0	1	1	3	4	0	12	16	25	8	7	0.00%	20	339	16.15	0	0	0	0	2	1	60	0	0	0.00%	0	8	19	0	0.06	0	0	0	0	0	0	0	0
17	Milan Lucic	Columbus Blue Jackets	LW/RW	21	0	1	1	-1	66	20	15	2	19	8	12	0.00%	5	175	8.35	0	0	0	0	1	0	0	0	0	0.00%	2	6	3	0	0.11	0	0	0	2	2	0	0	0
18	Gabriel Carlsson	Cleveland Monsters (CLB)	D	3	0	0	0	0	0	0	0	3	0	0	1	0.00%	0	16	5.40	0	0	0	0	0	0	8	0	0	0.00%	0	0	0	0	0.00%	0	0	0	0	0	0	0	0
19	Justin Schultz	Columbus Blue Jackets	D	21	0	0	0	3	2	0	6	21	15	9	2	0.00%	9	271	12.92	0	0	0	1	4	0	3	0	0	0.00%	0	4	8	0	0.00%	0	0	0	0	0	0	0	0
20	Zack MacEwen	Cleveland Monsters (CLB)	C/LW/RW	3	0	0	0	0	0	0	0	0	2	3	2	0.00%	0	17	5.79	0	0	0	0	0	0	0	0	0	50.00%	8	3	0	0	0.00%	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				384	58	92	150	28	251	45	352	357	733	246	398	7.91%	271	6209	16.17	20	32	52	89	530	14	517	13	2	49.66%	1341	228	174	2	0.48	5	13	2	2	5	6	10	11

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Linus Ullmark	Columbus Blue Jackets	10	7	2	1	0.938	2.07	609	2	1	21	340	146	1	0.500	8	10	11	3	1	2
2	Thatcher Demko	Columbus Blue Jackets	11	7	3	1	0.945	1.71	665	0	2	19	347	176	1	0.600	5	11	10	4	2	1
Statistiques d’équipe totales ou en moyenne			21	14	5	2	0.942	1.88	1274	2	3	40	687	322	2		13	21	21	7	3	3

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Link
Andrew Peeke	Columbus Blue Jackets	D	25	1998-03-17 06:26:24	No	210 Lbs	6 ft3	No	No	No	No	4	Pro Only	2,750,000$	2,091,146$	2,750,000$	2,091,146$	2,750,000$	2,091,146$	No	2,750,000$	2,750,000$	2,750,000$	Lien
Anthony Beauvillier	Columbus Blue Jackets	LW/RW	26	1997-06-08 04:38:20	No	182 Lbs	5 ft11	No	No	No	No	2	Pro Only	3,800,000$	2,889,583$	3,800,000$	2,889,583$	3,800,000$	2,889,583$	No	3,800,000$			Lien / Lien NHL
Brad Marchand	Columbus Blue Jackets	C/LW/RW	35	1988-05-11	No	181 Lbs	6 ft7	No	No	No	Yes	2	Pro Only	6,125,000$	4,657,552$	6,125,000$	4,657,552$	6,125,000$	4,657,552$	No	6,125,000$			Lien / Lien NHL
Brent Burns	Columbus Blue Jackets	D	38	1985-03-09	No	230 Lbs	6 ft5	No	No	No	Yes	2	Pro Only	8,000,000$	6,083,333$	7,720,000$	5,870,417$	7,720,000$	5,870,417$	No	8,000,000$			Lien / Lien NHL
Brock Nelson	Columbus Blue Jackets	C/LW/RW	32	1991-10-15	No	212 Lbs	6 ft4	No	No	No	Yes	3	Pro Only	7,000,000$	5,322,917$	7,000,000$	5,322,917$	7,000,000$	5,322,917$	No	7,000,000$	7,000,000$		Lien / Lien NHL
Charlie Coyle	Columbus Blue Jackets	C/LW/RW	31	1992-03-02	No	223 Lbs	6 ft3	No	No	No	Yes	1	Pro Only	5,250,000$	3,992,188$	5,250,000$	3,992,188$	5,250,000$	3,992,188$	No				Lien / Lien NHL
Cody Ceci	Columbus Blue Jackets	D	29	1993-12-21	No	210 Lbs	6 ft2	No	No	No	Yes	3	Pro Only	3,250,000$	2,471,354$	3,250,000$	2,471,354$	3,250,000$	2,471,354$	No	3,250,000$	3,250,000$		Lien / Lien NHL
Filip Chytil	Columbus Blue Jackets	C/LW/RW	24	1999-09-05	No	210 Lbs	6 ft3	No	No	No	No	4	Pro Only	4,400,000$	3,345,833$	4,400,000$	3,345,833$	4,400,000$	3,345,833$	No	4,400,000$	4,400,000$	4,400,000$	Lien
Justin Schultz	Columbus Blue Jackets	D	33	1990-07-06	No	188 Lbs	6 ft2	No	No	No	Yes	4	Pro Only	3,700,000$	2,813,542$	3,700,000$	2,813,542$	3,700,000$	2,813,542$	No	3,700,000$	3,700,000$	3,700,000$	Lien / Lien NHL
Keegan Kolesar	Columbus Blue Jackets	C/LW/RW	26	1997-04-08	No	217 Lbs	6 ft2	No	No	No	No	4	Pro & Farm	1,400,000$	1,064,583$	1,400,000$	1,064,583$	1,400,000$	1,064,583$	No	1,400,000$	1,400,000$	1,400,000$	Lien
Kevin Shattenkirk	Columbus Blue Jackets	D	34	1989-01-29	No	212 Lbs	6 ft0	No	No	No	Yes	4	Pro Only	5,700,000$	4,334,375$	5,700,000$	4,334,375$	5,700,000$	4,334,375$	No	5,700,000$	5,700,000$	5,700,000$	Lien / Lien NHL
Linus Ullmark	Columbus Blue Jackets	G	30	1993-07-31	No	212 Lbs	6 ft4	No	No	No	Yes	1	Pro Only	1,500,000$	1,140,625$	1,500,000$	1,140,625$	1,500,000$	1,140,625$	No				Lien / Lien NHL
Logan OConnor	Columbus Blue Jackets	C/LW/RW	27	1996-08-17 14:57:19	No	174 Lbs	6 ft0	No	No	No	Yes	4	Pro & Farm	1,000,000$	760,417$	1,000,000$	760,417$	1,000,000$	760,417$	No	1,000,000$	1,000,000$	1,000,000$
Mason Marchment	Columbus Blue Jackets	C/LW	28	1995-06-18	No	210 Lbs	6 ft4	No	No	No	Yes	4	Pro Only	4,750,000$	3,611,979$	4,750,000$	3,611,979$	4,750,000$	3,611,979$	No	4,750,000$	4,750,000$	4,750,000$	Lien
Mike Reilly	Columbus Blue Jackets	D	30	1993-07-13	No	200 Lbs	6 ft2	No	No	No	Yes	4	Pro Only	2,500,000$	1,901,042$	2,500,000$	1,901,042$	2,500,000$	1,901,042$	No	2,500,000$	2,500,000$	2,500,000$	Lien / Lien NHL
Milan Lucic	Columbus Blue Jackets	LW/RW	35	1988-06-07	No	231 Lbs	6 ft3	No	No	No	Yes	2	Pro & Farm	1,000,000$	760,417$	1,000,000$	760,417$	1,000,000$	760,417$	No	1,000,000$			Lien / Lien NHL
Patrick Maroon	Columbus Blue Jackets	LW/RW	35	1988-04-23	No	238 Lbs	6 ft2	No	No	No	Yes	2	Pro Only	1,800,000$	1,368,750$	1,800,000$	1,368,750$	1,800,000$	1,368,750$	No	1,800,000$			Lien / Lien NHL
Pavel Zacha	Columbus Blue Jackets	C/LW/RW	26	1997-04-06	No	210 Lbs	6 ft3	No	No	No	No	4	Pro Only	4,750,000$	3,611,979$	4,500,000$	3,421,875$	4,500,000$	3,421,875$	No	4,750,000$	4,750,000$	4,750,000$	Lien / Lien NHL
Robby Fabbri	Columbus Blue Jackets	C/LW/RW	27	1996-01-22	No	190 Lbs	5 ft10	No	No	No	Yes	3	Pro Only	4,000,000$	3,041,667$	4,000,000$	3,041,667$	4,000,000$	3,041,667$	No	4,000,000$	4,000,000$		Lien / Lien NHL
Thatcher Demko	Columbus Blue Jackets	G	27	1995-12-08	No	192 Lbs	6 ft4	No	No	No	Yes	3	Pro Only	5,000,000$	3,802,083$	5,000,000$	3,802,083$	5,000,000$	3,802,083$	No	5,000,000$	5,000,000$		Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	29.90	207 Lbs	6 ft3	3.00	3,883,750$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
77,675,000$	70,925,000$	50,200,000$	30,950,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brock Nelson	Brad Marchand	Pavel Zacha	35	1	1	3
2	Anthony Beauvillier	Charlie Coyle	Robby Fabbri	30	1	2	2
3	Mason Marchment	Filip Chytil	Logan OConnor	25	1	3	1
4	Patrick Maroon	Keegan Kolesar	Milan Lucic	10	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brent Burns	Kevin Shattenkirk	37	1	2	2
2	Cody Ceci	Andrew Peeke	35	1	2	2
3	Mike Reilly	Justin Schultz	23	1	3	1
4	Brent Burns	Kevin Shattenkirk	5	0	1	4

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brock Nelson	Brad Marchand	Robby Fabbri	60	0	1	4
2	Anthony Beauvillier	Charlie Coyle	Mason Marchment	40	1	1	3

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brent Burns	Kevin Shattenkirk	60	1	1	3
2	Andrew Peeke	Cody Ceci	40	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Charlie Coyle	Brad Marchand	60	1	3	1
2	Brock Nelson	Anthony Beauvillier	40	1	3	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brent Burns	Mike Reilly	60	1	3	1
2	Andrew Peeke	Cody Ceci	40	1	3	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Charlie Coyle	60	1	4	0	Brent Burns	Mike Reilly	60	1	4	0
2	Anthony Beauvillier	40	1	4	0	Andrew Peeke	Cody Ceci	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Brad Marchand	Anthony Beauvillier	60	1	2	2
2	Brock Nelson	Charlie Coyle	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brent Burns	Kevin Shattenkirk	60	1	2	2
2	Andrew Peeke	Cody Ceci	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brock Nelson	Brad Marchand	Charlie Coyle	Brent Burns	Kevin Shattenkirk

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brock Nelson	Brad Marchand	Charlie Coyle	Brent Burns	Kevin Shattenkirk

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Brock Nelson, Brad Marchand, Charlie Coyle	Brad Marchand, Charlie Coyle	Brad Marchand

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mike Reilly, Cody Ceci, Andrew Peeke	Mike Reilly	Andrew Peeke , Mike Reilly

Tirs de pénalité
Brad Marchand, Brock Nelson, Charlie Coyle, Anthony Beauvillier , Mason Marchment

Gardien
#1 : , #2 : Thatcher Demko

Lignes d’attaque personnalisées en prolongation
Brad Marchand, Brock Nelson, Charlie Coyle, Anthony Beauvillier , Mason Marchment, Pavel Zacha, Pavel Zacha, Logan OConnor, Robby Fabbri, Filip Chytil, Milan Lucic

Lignes de défense personnalisées en prolongation
Brent Burns, Kevin Shattenkirk, Andrew Peeke , Cody Ceci, Mike Reilly

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

	Total												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	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	1	2	2	0	0	37	16	16	5	0	20	5	28	16	4	0	0.00%	4	0	100.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	23	14	19	8	17	8
2	Arizona Coyotes	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	1	3	2	0	42	13	21	8	0	34	12	21	19	1	0	0.00%	3	1	66.67%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	23	15	18	7	17	8
3	Calgary Flames	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	1	0	2	0	0	42	6	26	10	0	24	9	27	29	6	2	33.33%	6	0	100.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	25	15	19	8	15	8
4	Chicago Blackhawks	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	1	2	0	0	32	15	13	4	0	39	19	19	18	3	1	33.33%	2	0	100.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	22	12	20	7	17	8
5	Dallas Stars	2	0	0	0	1	0	0	1	6	6	0	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	1	0	0	0	4	3	1	3	0.750	6	10	16	0	0	4	1	0	2	61	23	26	10	7	76	21	16	35	5	2	40.00%	8	2	75.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	39	21	51	19	34	16
6	Detroit Redwings	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	5	7	12	0	0	0	4	1	0	59	17	31	11	0	76	37	31	39	4	0	0.00%	8	3	62.50%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	39	24	51	15	28	14
7	Florida Panthers	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	1	0	0	0	33	8	8	17	0	38	13	16	9	2	0	0.00%	8	1	87.50%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	20	13	26	8	12	5
8	Minnesota Wild	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	0	2	0	0	25	7	14	4	0	34	14	2	14	3	1	33.33%	1	0	100.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	20	12	21	7	17	8
9	Montreal Canadiens	1	0	0	0	0	0	1	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	2	1	1	2	1.000	2	1	3	0	0	1	0	0	2	43	12	15	16	4	34	12	0	18	5	0	0.00%	0	0	0.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	27	17	20	8	17	9
10	New Jersey Devils	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	0	2	0	0	0	34	9	5	20	0	27	11	30	22	2	2	100.00%	5	0	100.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	23	15	20	7	15	7
11	New York Islanders	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	2	0	0	36	12	15	9	0	33	8	0	13	3	0	0.00%	0	0	0.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	20	12	21	8	18	8
12	New York Rangers	2	1	1	0	0	0	0	0	9	9	0	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	5	4	1	2	0.500	9	11	20	0	0	2	2	5	0	63	22	18	23	0	73	25	23	31	5	2	40.00%	9	1	88.89%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	37	22	52	17	29	14
13	Philadelphia Flyers	2	1	0	0	0	0	0	1	3	3	0	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	0	0	1	1	2	-1	3	0.750	3	5	8	0	0	1	2	0	2	75	25	22	26	6	68	33	12	32	8	3	37.50%	6	0	100.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	45	28	46	17	32	15
14	Pittsburgh Penguins	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	1	0	1	0	45	18	10	17	0	31	16	4	15	3	1	33.33%	2	0	100.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	26	18	19	7	14	7
15	Tampa Bay Lightning	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	0	2	0	0	31	13	11	7	0	24	16	12	17	1	1	100.00%	6	0	100.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	21	13	22	8	15	7
16	Washington Capitals	2	2	0	0	0	0	0	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	8	2	6	4	1.000	8	13	21	0	1	3	4	1	0	75	22	31	22	0	56	20	12	25	18	5	27.78%	6	0	100.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	45	27	39	18	34	18
	Total	21	12	5	0	1	0	1	2	59	42	17	11	7	3	0	0	0	0	1	30	19	11	10	5	2	0	1	0	1	1	29	23	6	30	0.714	59	92	151	0	3	19	28	10	6	733	238	282	209	17	687	271	253	352	73	20	27.40%	74	8	89.19%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	463	284	472	178	339	170
	_Since Last GM Reset	21	12	5	0	1	0	1	2	59	42	17	11	7	3	0	0	0	0	1	30	19	11	10	5	2	0	1	0	1	1	29	23	6	30	0.714	59	92	151	0	3	19	28	10	6	733	238	282	209	17	687	271	253	352	73	20	27.40%	74	8	89.19%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	463	284	472	178	339	170
	_Vs Conference	14	8	4	0	0	0	1	1	36	29	7	6	3	3	0	0	0	0	0	13	13	0	8	5	1	0	0	0	1	1	23	16	7	19	0.679	36	51	87	0	1	11	16	8	4	494	158	166	168	10	460	191	140	221	51	14	27.45%	50	5	90.00%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	308	193	320	118	220	110
	_Vs Division	9	6	2	0	0	0	0	1	26	19	7	4	2	2	0	0	0	0	0	10	10	0	5	4	0	0	0	0	0	1	16	9	7	13	0.722	26	39	65	0	1	9	10	7	2	328	108	101	117	6	288	113	81	138	39	13	33.33%	28	1	96.43%	0	249	520	47.88%	287	520	55.19%	130	285	45.61%	199	124	200	76	145	72

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
21	30	W2	59	92	151	733	687	271	253	352	0	3

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
21	12	5	1	0	1	2	59	42

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	7	3	0	0	0	1	30	19

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	2	1	0	1	1	29	23

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
7	1	0	0	0	2

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
73	20	27.40%	74	8	89.19%	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
238	282	209	17	19	28	10	6

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
249	520	47.88%	287	520	55.19%	130	285	45.61%

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
463	284	472	178	339	170

Derniers matchs 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
3 - 2023-10-03	11	Philadelphia Flyers	1	Columbus Blue Jackets	2	BW			Sommaire du match
5 - 2023-10-05	22	New York Rangers	5	Columbus Blue Jackets	4	BL			Sommaire du match
7 - 2023-10-07	35	Detroit Redwings	2	Columbus Blue Jackets	1	BL			Sommaire du match
11 - 2023-10-11	63	Calgary Flames	0	Columbus Blue Jackets	2	BW			Sommaire du match
12 - 2023-10-12	73	Columbus Blue Jackets	2	Minnesota Wild	4	AL			Sommaire du match
15 - 2023-10-15	84	Anaheim Ducks	0	Columbus Blue Jackets	4	BW			Sommaire du match
17 - 2023-10-17	103	Columbus Blue Jackets	2	Montreal Canadiens	1	AW	X	X	Sommaire du match
19 - 2023-10-19	121	New York Islanders	3	Columbus Blue Jackets	2	BL			Sommaire du match
21 - 2023-10-21	136	Columbus Blue Jackets	4	Dallas Stars	3	AW	X		Sommaire du match
24 - 2023-10-24	146	Tampa Bay Lightning	1	Columbus Blue Jackets	2	BW			Sommaire du match
26 - 2023-10-26	166	Columbus Blue Jackets	2	Washington Capitals	0	AW			Sommaire du match
28 - 2023-10-28	176	Columbus Blue Jackets	1	Florida Panthers	3	AL			Sommaire du match
31 - 2023-10-31	194	Dallas Stars	3	Columbus Blue Jackets	2	BL	X	X	Sommaire du match
33 - 2023-11-02	210	Columbus Blue Jackets	4	Detroit Redwings	3	AW			Sommaire du match
34 - 2023-11-03	225	Columbus Blue Jackets	5	New York Rangers	4	AW			Sommaire du match
36 - 2023-11-05	230	Pittsburgh Penguins	1	Columbus Blue Jackets	2	BW			Sommaire du match
38 - 2023-11-07	243	Arizona Coyotes	2	Columbus Blue Jackets	6	BW			Sommaire du match
40 - 2023-11-09	263	Columbus Blue Jackets	6	Washington Capitals	2	AW			Sommaire du match
41 - 2023-11-10	268	Columbus Blue Jackets	1	Philadelphia Flyers	2	AL	X	X	Sommaire du match
44 - 2023-11-13	280	Chicago Blackhawks	1	Columbus Blue Jackets	3	BW			Sommaire du match
46 - 2023-11-15	297	Columbus Blue Jackets	2	New Jersey Devils	1	AW			Sommaire du match
48 - 2023-11-17	318	Columbus Blue Jackets	-	Carolina Hurricanes	-
49 - 2023-11-18	321	Boston Bruins	-	Columbus Blue Jackets	-
51 - 2023-11-20	337	Montreal Canadiens	-	Columbus Blue Jackets	-
53 - 2023-11-22	354	Ottawa Senators	-	Columbus Blue Jackets	-
55 - 2023-11-24	371	Columbus Blue Jackets	-	Boston Bruins	-
57 - 2023-11-26	381	Los Angeles Kings	-	Columbus Blue Jackets	-
59 - 2023-11-28	397	Columbus Blue Jackets	-	New York Islanders	-
60 - 2023-11-29	405	St. Louis Blues	-	Columbus Blue Jackets	-
62 - 2023-12-01	420	Florida Panthers	-	Columbus Blue Jackets	-
66 - 2023-12-05	449	Columbus Blue Jackets	-	Toronto Maple Leafs	-
68 - 2023-12-07	464	New Jersey Devils	-	Columbus Blue Jackets	-
71 - 2023-12-10	485	Columbus Blue Jackets	-	Buffalo Sabres	-
73 - 2023-12-12	499	Washington Capitals	-	Columbus Blue Jackets	-
75 - 2023-12-14	518	Toronto Maple Leafs	-	Columbus Blue Jackets	-
79 - 2023-12-18	528	Columbus Blue Jackets	-	New Jersey Devils	-
81 - 2023-12-20	546	Toronto Maple Leafs	-	Columbus Blue Jackets	-
82 - 2023-12-21	556	Columbus Blue Jackets	-	Buffalo Sabres	-
85 - 2023-12-24	574	Boston Bruins	-	Columbus Blue Jackets	-
87 - 2023-12-26	592	Columbus Blue Jackets	-	Philadelphia Flyers	-
89 - 2023-12-28	610	Minnesota Wild	-	Columbus Blue Jackets	-
92 - 2023-12-31	631	Columbus Blue Jackets	-	Winnipeg Jets	-
96 - 2024-01-04	659	Seattle Kraken	-	Columbus Blue Jackets	-
98 - 2024-01-06	673	Vancouver Canucks	-	Columbus Blue Jackets	-
102 - 2024-01-10	703	New Jersey Devils	-	Columbus Blue Jackets	-
106 - 2024-01-14	736	Columbus Blue Jackets	-	Edmonton Oilers	-
108 - 2024-01-16	753	Columbus Blue Jackets	-	Calgary Flames	-
110 - 2024-01-18	771	Columbus Blue Jackets	-	Vancouver Canucks	-
111 - 2024-01-19	774	Columbus Blue Jackets	-	Seattle Kraken	-
113 - 2024-01-21	776	Columbus Blue Jackets	-	St. Louis Blues	-
124 - 2024-02-01	812	Tampa Bay Lightning	-	Columbus Blue Jackets	-
127 - 2024-02-04	826	Columbus Blue Jackets	-	Ottawa Senators	-
131 - 2024-02-08	861	Columbus Blue Jackets	-	San Jose Sharks	-
134 - 2024-02-11	883	Columbus Blue Jackets	-	Los Angeles Kings	-
135 - 2024-02-12	886	Columbus Blue Jackets	-	Anaheim Ducks	-
137 - 2024-02-14	900	Buffalo Sabres	-	Columbus Blue Jackets	-
139 - 2024-02-16	921	New York Rangers	-	Columbus Blue Jackets	-
142 - 2024-02-19	939	Columbus Blue Jackets	-	New York Rangers	-
143 - 2024-02-20	942	Carolina Hurricanes	-	Columbus Blue Jackets	-
145 - 2024-02-22	965	Columbus Blue Jackets	-	Chicago Blackhawks	-
147 - 2024-02-24	975	Las Vegas Golden Knights	-	Columbus Blue Jackets	-
148 - 2024-02-25	983	Columbus Blue Jackets	-	Pittsburgh Penguins	-
150 - 2024-02-27	995	Edmonton Oilers	-	Columbus Blue Jackets	-
152 - 2024-02-29	1010	Nashville Predators	-	Columbus Blue Jackets	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2024-03-03	1033	Columbus Blue Jackets	-	Montreal Canadiens	-
157 - 2024-03-05	1047	Ottawa Senators	-	Columbus Blue Jackets	-
159 - 2024-03-07	1066	San Jose Sharks	-	Columbus Blue Jackets	-
160 - 2024-03-08	1076	Winnipeg Jets	-	Columbus Blue Jackets	-
162 - 2024-03-10	1083	Columbus Blue Jackets	-	Detroit Redwings	-
165 - 2024-03-13	1111	Columbus Blue Jackets	-	Colorado Avalanche	-
166 - 2024-03-14	1123	Columbus Blue Jackets	-	Las Vegas Golden Knights	-
169 - 2024-03-17	1145	Columbus Blue Jackets	-	Arizona Coyotes	-
171 - 2024-03-19	1154	Columbus Blue Jackets	-	Pittsburgh Penguins	-
173 - 2024-03-21	1172	Pittsburgh Penguins	-	Columbus Blue Jackets	-
175 - 2024-03-23	1181	Colorado Avalanche	-	Columbus Blue Jackets	-
178 - 2024-03-26	1203	New York Islanders	-	Columbus Blue Jackets	-
180 - 2024-03-28	1222	Philadelphia Flyers	-	Columbus Blue Jackets	-
181 - 2024-03-29	1230	Columbus Blue Jackets	-	Carolina Hurricanes	-
183 - 2024-03-31	1245	Columbus Blue Jackets	-	Tampa Bay Lightning	-
185 - 2024-04-02	1256	Columbus Blue Jackets	-	Florida Panthers	-
187 - 2024-04-04	1278	Columbus Blue Jackets	-	Nashville Predators	-
190 - 2024-04-07	1296	Carolina Hurricanes	-	Columbus Blue Jackets	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	65,615	54,862	21,998	43,036	11,000
Attendance PCT	99.42%	99.75%	99.99%	97.81%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
30	17865 - 99.25%	1,882,690$	20,709,585$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
19,788,796$	78,575,000$	78,045,000$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
406,484$	19,062,859$	4,796,296$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
56,480,686$	146	422,266$	61,650,836$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
64,217,785$	186,492,396$	178,755,297$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
78,409,523$	5,090,477$	83,500,000$	16,709,523$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Brad Marchand	AGE:35	PO:33	OV:76
Brock Nelson	AGE:32	PO:56	OV:73
Charlie Coyle	AGE:31	PO:59	OV:70
Mason Marchment	AGE:28	PO:47	OV:70
Pavel Zacha	AGE:26	PO:80	OV:69
Anthony Beauvillier	AGE:26	PO:72	OV:69
Filip Chytil	AGE:24	PO:75	OV:68
Robby Fabbri	AGE:27	PO:73	OV:68
Logan OConnor	AGE:27	PO:69	OV:67
Zack MacEwen	AGE:27	PO:47	OV:67
Trey Fix Wolansky	AGE:24	PO:62	OV:65
Keegan Kolesar	AGE:26	PO:60	OV:65
Mason Shaw	AGE:25	PO:63	OV:64
Milan Lucic	AGE:35	PO:39	OV:64
Austin Wagner	AGE:26	PO:56	OV:63
Patrick Maroon	AGE:35	PO:53	OV:63
Marco Rossi (R)	AGE:22	PO:87	OV:62
Adam Klapka	AGE:23	PO:65	OV:62
Luke Toporowski (R)	AGE:22	PO:66	OV:60

Brad Marchand	AGE:35	PO:33	OV:76
Brock Nelson	AGE:32	PO:56	OV:73
Charlie Coyle	AGE:31	PO:59	OV:70
Mason Marchment	AGE:28	PO:47	OV:70
Pavel Zacha	AGE:26	PO:80	OV:69
Filip Chytil	AGE:24	PO:75	OV:68
Robby Fabbri	AGE:27	PO:73	OV:68
Logan OConnor	AGE:27	PO:69	OV:67
Zack MacEwen	AGE:27	PO:47	OV:67
Morgan Barron (R)	AGE:24	PO:75	OV:66
Trey Fix Wolansky	AGE:24	PO:62	OV:65
Keegan Kolesar	AGE:26	PO:60	OV:65
Mason Shaw	AGE:25	PO:63	OV:64
Marco Rossi (R)	AGE:22	PO:87	OV:62
Lane Pederson	AGE:26	PO:59	OV:62
Luke Toporowski (R)	AGE:22	PO:66	OV:60
Ryan Suzuki (R)	AGE:22	PO:63	OV:60
Justin Scott	AGE:28	PO:55	OV:60
Luka Burzan	AGE:23	PO:77	OV:56
Mitchell Hoelscher (R)	AGE:23	PO:89	OV:55
Ozzy Wiesblatt (R)	AGE:21	PO:77	OV:55

Brad Marchand	AGE:35	PO:33	OV:76
Brock Nelson	AGE:32	PO:56	OV:73
Charlie Coyle	AGE:31	PO:59	OV:70
Pavel Zacha	AGE:26	PO:80	OV:69
Anthony Beauvillier	AGE:26	PO:72	OV:69
Filip Chytil	AGE:24	PO:75	OV:68
Robby Fabbri	AGE:27	PO:73	OV:68
Logan OConnor	AGE:27	PO:69	OV:67
Zack MacEwen	AGE:27	PO:47	OV:67
Trey Fix Wolansky	AGE:24	PO:62	OV:65
Keegan Kolesar	AGE:26	PO:60	OV:65
Milan Lucic	AGE:35	PO:39	OV:64
Austin Wagner	AGE:26	PO:56	OV:63
Patrick Maroon	AGE:35	PO:53	OV:63
Adam Klapka	AGE:23	PO:65	OV:62
Marian Studenic (R)	AGE:25	PO:75	OV:61
Luke Toporowski (R)	AGE:22	PO:66	OV:60
Ozzy Wiesblatt (R)	AGE:21	PO:77	OV:55

Défense #1

Défense #2

Gardien

Brent Burns	AGE:38	PO:34	OV:77
Andrew Peeke	AGE:25	PO:70	OV:72
Cody Ceci	AGE:29	PO:64	OV:72
Kevin Shattenkirk	AGE:34	PO:57	OV:72
Mike Reilly	AGE:30	PO:46	OV:70
Justin Schultz	AGE:33	PO:51	OV:69
Gabriel Carlsson	AGE:26	PO:82	OV:66

Kodie Curran	AGE:33	PO:30	OV:66
Jordan Harris (R)	AGE:23	PO:79	OV:65
Ryan Merkley (R)	AGE:23	PO:65	OV:61
Dmitry Osipov	AGE:27	PO:52	OV:61
James Greenway (R)	AGE:25	PO:66	OV:60
Turner Ottenbreit	AGE:26	PO:53	OV:60
Jeremie Biakabutuka (R)	AGE:21	PO:60	OV:59

Linus Ullmark	AGE:30	PO:54	OV:90
Thatcher Demko	AGE:27	PO:63	OV:86
Clay Stevenson (R)	AGE:24	PO:43	OV:73
Matthew Villalta (R)	AGE:24	PO:65	OV:70
Colten Ellis (R)	AGE:23	PO:77	OV:69
Jack LaFontaine (R)	AGE:25	PO:77	OV:66

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Adam Zlnka	Columbus Blue Jackets	2022	217
Aiden Hreschuk	Columbus Blue Jackets	2021	103
Alex Formenton	Columbus Blue Jackets	2017	47
Andrei Buyalsky	Columbus Blue Jackets	2021	94
Cooper Foster	Columbus Blue Jackets	2023	198
Daniil But	Columbus Blue Jackets	2023	16
David Reinbacher	Columbus Blue Jackets	2023	6
Easton Cowan	Columbus Blue Jackets	2023	38
Gavin Brindley	Columbus Blue Jackets	2023	56
Hudson Malinoski	Columbus Blue Jackets	2023	166
Ilya Fedotov	Columbus Blue Jackets	2021	54
Jaroslav Chmelar	Columbus Blue Jackets	2021	155
Jayson Shaugabay	Columbus Blue Jackets	2023	134
Jiri Felcman	Columbus Blue Jackets	2023	102
Joey Muldowney	Columbus Blue Jackets	2022	185
Jordan Gustafson	Columbus Blue Jackets	2022	85
Marcus Davidsson	Columbus Blue Jackets	2017	41
Michael Callow	Columbus Blue Jackets	2022	153
Owen McLaughlin	Columbus Blue Jackets	2021	215
Samuel Honzek	Columbus Blue Jackets	2023	24
Samuel Savoie	Columbus Blue Jackets	2022	89
Theo Jacobsson	Columbus Blue Jackets	2021	187
Veeti Vainio	Columbus Blue Jackets	2015	141
Victor Stjernborg	Columbus Blue Jackets	2021	123
Yegor Zaitsev	Columbus Blue Jackets	2017	211

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
9	CLB	CLB	CLB	CLB	CLB	CLB	CLB
10	CLB	CLB	CLB	CLB	CLB	CLB	CLB
11	CLB	CLB	CLB	CLB	CLB	CLB	CLB
12	CLB	CLB	CLB	CLB	CLB	CLB	CLB
13	CLB	CLB	CLB	CLB	CLB	CLB	CLB

La course des stars vert les séries

Par Jean Francois Marleau (Dallas Stars) Le Thursday 31st March 2022 / 3:50pm

La course au séries est très serré et les stars sont pas si loin d'une calcification grâce au récent succès du trio Tatar - Crosby- Anderson et l'excellence de la défensive .Nutivara apporte exactement se qu'on lui demandait à sont arrivés ,les unités spéciales se replace ,Fleury et oettinger font un bon travail devant le filet . 7-2-1 dans les 10 dernière partie si les stars peuve répéter cette exploit ont sera en très bonne position. Rien n'est joué le calendrier se resserre et l'on affrontera des équipes très bien placé ça sera difficile m'es possible.

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Jean Deslauriers (Columbus Blue Jackets) Le 2nd April / 2:44pm :

3 étoiles de la semaine
1 - Nick Schmaltz of New York Rangers (7-1-8) 2 - Adam Fox of New York Rangers (2-7-9) 3 - Brad Marchand of Columbus Blue Jackets (2-6-8)

Nouveau commentaire

Columbus Blue Jackets Historique de transactions

[2023-11-18 10:58:21] - Kodie Curran was added to Columbus Blue Jackets.
[2023-08-27 18:20:55] - Luke Toporowski was added to Columbus Blue Jackets.
[2023-08-27 18:20:50] - Adam Klapka was added to Columbus Blue Jackets.
[2023-08-27 18:20:44] - Jeremie Biakabutuka was added to Columbus Blue Jackets.
[2023-08-27 18:20:35] - Clay Stevenson was added to Columbus Blue Jackets.
[2023-08-22 19:24:54] - Kevin Shattenkirk was added to Columbus Blue Jackets.
[2023-08-22 19:24:48] - Mike Reilly was added to Columbus Blue Jackets.
[2023-08-22 19:24:38] - Justin Schultz was added to Columbus Blue Jackets.

[2023-11-27 18:20:14] Morgan Barron of Columbus Blue Jackets was sent to farm.
[2023-11-27 18:20:14] Zack MacEwen of Columbus Blue Jackets was sent to farm.
[2023-11-27 18:20:14] Kodie Curran of Columbus Blue Jackets was sent to farm.
[2023-11-27 18:18:30] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2023-11-27 18:18:30] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2023-11-27 18:18:30] Kodie Curran of Columbus Blue Jackets was sent to pro.
[2023-11-27 18:18:30] Morgan Barron of Columbus Blue Jackets was sent to pro.
[2023-11-27 18:18:30] Zack MacEwen of Columbus Blue Jackets was sent to pro.
[2023-11-25 15:45:09] Auto Lines Partial Function has been run for Cleveland Monsters.
[2023-11-25 15:27:41] Columbus Blue Jackets roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2023-11-25 15:27:14] Auto Lines Partial Function has been run for Cleveland Monsters.
[2023-11-23 20:13:56] Linus Ullmark from Columbus Blue Jackets is back from Exhaustion.
[2023-11-23 20:13:56] Ryan Merkley from Cleveland Monsters is back from Sprained Left Ankle Injury.
[2023-11-23 20:13:47] Linus Ullmark from Columbus Blue Jackets injured (Exhaustion)
[2023-11-20 20:43:34] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:76.68.159.228 .
[2023-11-20 20:43:05] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:76.68.159.228 .
[2023-11-18 11:04:03] Trey Fix Wolansky of Columbus Blue Jackets was sent to farm.
[2023-11-18 11:04:03] Zack MacEwen of Columbus Blue Jackets was sent to farm.
[2023-11-18 11:04:03] Jordan Harris of Columbus Blue Jackets was sent to farm.
[2023-11-18 10:58:58] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2023-11-18 10:58:55] Auto Lines Partial Function has been run for Cleveland Monsters.
[2023-11-18 10:58:52] Morgan Barron of Columbus Blue Jackets was sent down to farm.
[2023-11-18 10:58:24] Cleveland Monsters roster errors : Not enough Defenseman available in Farm Team! 5 Dressed. 6 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-11-18 10:58:24] Columbus Blue Jackets roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2023-11-18 10:58:23] Maximum Pro Players Limit Reached for Columbus Blue Jackets!
[2023-11-18 10:58:21] Kodie Curran was added to Columbus Blue Jackets.
[2023-11-18 10:57:12] Cleveland Monsters roster errors : Not enough Defenseman available in Farm Team! 4 Dressed. 6 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-11-18 10:57:12] Columbus Blue Jackets roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2023-11-18 10:57:12] Maximum Pro Players Limit Reached for Columbus Blue Jackets!
[2023-11-18 10:56:37] Auto Roster Function has been run for Columbus Blue Jackets.
[2023-11-18 10:56:37] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2023-11-18 10:55:40] Auto Roster Function has been run for Columbus Blue Jackets.
[2023-11-18 10:55:40] Trey Fix Wolansky of Columbus Blue Jackets was sent to pro.
[2023-11-18 10:55:40] Jordan Harris of Columbus Blue Jackets was sent to pro.
[2023-11-18 10:55:40] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2023-11-18 10:55:40] Morgan Barron of Columbus Blue Jackets was sent to pro.
[2023-11-18 10:55:40] Zack MacEwen of Columbus Blue Jackets was sent to pro.
[2023-11-17 19:53:15] Linus Ullmark from Columbus Blue Jackets is back from Exhaustion.
[2023-11-17 19:53:15] Game 192 - Ryan Merkley from Cleveland Monsters is injured (Sprained Left Ankle) and is out for 2 weeks.
[2023-11-16 18:51:29] Linus Ullmark from Columbus Blue Jackets injured (Exhaustion)
[2023-11-16 18:51:29] Pro Game #225 - Brock Nelson from Columbus Blue Jackets has scored a Hat Trick!
[2023-11-15 18:44:12] Pro Game #210 - Brad Marchand from Columbus Blue Jackets has scored a Hat Trick!

Pas de blessure ou de suspension.

Columbus Blue Jackets Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Columbus Blue Jackets Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Columbus Blue Jackets Statistiques de l'Équipe de Carrière

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	Total											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

Columbus Blue Jackets Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Columbus Blue Jackets Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Columbus Blue Jackets
	GP: 21 \| W: 14 \| L: 5 \| OTL: 2 \| P: 30 GF: 59 \| GA: 42 \| PP%: 27.40% \| PK%: 89.19% DG: Jean Deslauriers \| Morale : 53 \| Moyenne d’équipe : 72 Prochains matchs #318 vs Carolina Hurricanes

Année	R1	R2	R3	R4	R5	R6	R7
9	CLB	CLB	CLB	CLB	CLB	CLB	CLB
10	CLB	CLB	CLB	CLB	CLB	CLB	CLB
11	CLB	CLB	CLB	CLB	CLB	CLB	CLB
12	CLB	CLB	CLB	CLB	CLB	CLB	CLB
13	CLB	CLB	CLB	CLB	CLB	CLB	CLB

Année	R1	R2	R3	R4	R5	R6	R7
9	CLB	CLB	CLB	CLB	CLB	CLB	CLB
10	CLB	CLB	CLB	CLB	CLB	CLB	CLB
11	CLB	CLB	CLB	CLB	CLB	CLB	CLB
12	CLB	CLB	CLB	CLB	CLB	CLB	CLB
13	CLB	CLB	CLB	CLB	CLB	CLB	CLB

Année	R1	R2	R3	R4	R5	R6	R7
9	CLB	CLB	CLB	CLB	CLB	CLB	CLB
10	CLB	CLB	CLB	CLB	CLB	CLB	CLB
11	CLB	CLB	CLB	CLB	CLB	CLB	CLB
12	CLB	CLB	CLB	CLB	CLB	CLB	CLB
13	CLB	CLB	CLB	CLB	CLB	CLB	CLB