Cleveland Monsters
Domicile
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
	Tampa Bay Lightning 0-1-0, 0pts	3	FINAL	7	Columbus Blue Jackets 1-0-0, 2pts

Team Stats
L1	Séquence	W1
0-0-0	Fiche domicile	1-0-0
0-1-0	Fiche visiteur	0-0-0
0-1-0	Derniers 10 matchs	1-0-0
3.00	Buts par match	7.00
7.00	Buts contre par match	3.00
0.00%	Pourcentage en avantage numérique	50.00%
50.00%	Pourcentage en désavantage numérique	100.00%

Tampa Bay Lightning
0-1-0, 0pts

Jour 3

Columbus Blue Jackets
1-0-0, 2pts

Statistiques d’équipe
L1	Séquence	W1
0-0-0	Fiche domicile	1-0-0
0-1-0	Fiche visiteur	0-0-0
0-1-0	10 derniers matchs	1-0-0
3.00	Buts par match	7.00
7.00	Buts contre par match	7.00
0.00%	Pourcentage en avantage numérique	50.00%
50.00%	Pourcentage en désavantage numérique	100.00%

Columbus Blue Jackets
1-0-0, 2pts

Jour 5

Tampa Bay Lightning
0-1-0, 0pts

Statistiques d’équipe
W1	Séquence	L1
1-0-0	Fiche domicile	0-0-0
0-0-0	Fiche visiteur	0-1-0
1-0-0	10 derniers matchs	0-1-0
7.00	Buts par match	3.00
3.00	Buts contre par match	3.00
50.00%	Pourcentage en avantage numérique	0.00%
100.00%	Pourcentage en désavantage numérique	50.00%

Columbus Blue Jackets
1-0-0, 2pts

Jour 7

Tampa Bay Lightning
0-1-0, 0pts

Statistiques d’équipe
W1	Séquence	L1
1-0-0	Fiche domicile	0-0-0
0-0-0	Fiche visiteur	0-1-0
1-0-0	10 derniers matchs	0-1-0
7.00	Buts par match	3.00
3.00	Buts contre par match	3.00
50.00%	Pourcentage en avantage numérique	0.00%
100.00%	Pourcentage en désavantage numérique	50.00%

Meneurs d'équipe
	Buts Anthony Beauvillier 2	Passes Kevin Shattenkirk 3

	Points Kevin Shattenkirk 3	Plus/Moins Brent Burns 4

	Victoires Linus Ullmark 1	Pourcentage d’arrêts Linus Ullmark 0.912

Statistiques d’équipe
Buts pour 7 7.00 GFG	Tirs pour 32 32.00 Avg	Pourcentage en avantage numérique 50.0% 1 GF	Début de zone offensive 27.1%
Buts contre 3 3.00 GAA	Tirs contre 34 34.00 Avg	Pourcentage en désavantage numérique 100.0%% 0 GA	Début de la zone défensive 47.5%

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	18,000
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	24
	Limite contact	47 / 100
	Espoirs	25
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	83,500,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	1,892,300$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	164,816,924$
	Compte bancaire projeté	164,816,924$

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		100.00	85	44	61	81	65	89	87	86	54	87	84	77	82	89	85	32	96	77	2	35	2	6,125,000$
2	Brock Nelson	0	X	X	X		100.00	64	42	86	75	89	91	89	81	78	77	84	69	79	86	82	54	95	74	0	32	3	7,000,000$
3	Charlie Coyle	0	X	X	X		100.00	67	45	88	72	87	86	92	69	81	69	69	85	67	84	79	57	91	71	2	32	1	5,250,000$
4	Mason Marchment	0	X	X			100.00	77	48	70	75	88	85	83	74	60	77	76	66	72	77	73	45	94	71	0	28	4	4,750,000$
5	Anthony Beauvillier	0		X	X		100.00	60	34	91	76	67	87	90	76	55	75	76	69	74	76	70	71	94	70	2	26	2	3,800,000$
6	Pavel Zacha	0	X	X	X		100.00	63	42	92	76	90	87	89	72	78	73	70	64	69	74	72	78	90	70	2	27	4	4,500,000$
7	Robby Fabbri	0	X	X	X		100.00	76	39	79	76	70	87	75	74	77	73	71	65	76	76	77	71	92	69	0	28	3	4,000,000$
8	Filip Chytil	0	X	X	X		100.00	60	42	89	78	83	86	87	73	78	71	69	67	73	70	72	73	84	69	2	24	4	4,400,000$
9	Logan OConnor	0	X	X	X		100.00	70	45	87	71	69	84	90	65	66	66	61	86	65	71	71	68	92	68	0	27	4	1,000,000$
10	Marco Rossi (R)	0	X	X			100.00	56	40	77	78	71	88	88	74	75	72	75	65	66	58	43	85	85	68	2	22	1	894,167$
11	Morgan Barron (R)	0	X				100.00	77	41	67	65	91	83	83	66	75	66	64	76	62	65	64	73	66	66	0	25	1	900,000$
12	Keegan Kolesar	0	X	X	X		100.00	89	82	74	65	84	80	88	61	70	64	59	68	66	72	70	59	88	65	2	27	4	1,400,000$
13	Patrick Maroon	0		X	X		100.00	82	86	59	65	90	78	90	60	57	61	60	58	65	81	81	51	91	63	0	36	2	1,800,000$
14	Brent Burns (A)	0				X	100.00	75	44	82	75	93	93	94	79	30	83	72	87	61	94	84	33	94	78	2	39	2	7,720,000$
15	Andrew Peeke	0				X	100.00	88	45	83	65	88	92	90	66	30	66	58	90	52	64	63	68	88	73	2	26	4	2,750,000$
16	Cody Ceci	0				X	100.00	75	41	94	65	82	91	90	65	30	71	57	89	49	82	76	62	75	73	0	30	3	3,250,000$
17	Kevin Shattenkirk	0				X	100.00	70	40	79	73	77	91	90	72	30	73	64	83	54	86	79	56	89	73	2	35	4	5,700,000$
18	Mike Reilly	2				X	100.00	67	40	81	72	77	87	92	72	30	74	60	78	49	82	76	44	87	71	1	30	4	2,500,000$
19	Justin Schultz	0				X	100.00	62	41	87	72	79	85	84	68	30	76	58	75	52	87	75	50	92	70	2	33	4	3,700,000$
Rayé
1	Zack MacEwen	0	X	X	X		100.00	86	82	79	70	86	78	85	69	77	66	68	64	66	73	69	46	66	67	0	27	4	1,000,000$
2	Milan Lucic	0		X	X		100.00	87	88	73	64	91	79	90	60	58	61	60	60	63	89	81	37	73	64	0	35	2	1,000,000$
Équipe Mineure
1	Trey Fix Wolansky	0	X	X	X		100.00	62	46	76	69	70	89	84	68	62	67	67	66	62	66	67	60	67	66	0	24	2	700,000$
2	Mason Shaw	0	X	X			100.00	66	55	61	66	67	84	85	66	75	63	69	68	63	66	64	62	57	65	1	25	1	700,000$
3	Adam Klapka	0		X	X		100.00	97	57	66	62	99	81	70	59	50	58	61	62	55	65	62	63	63	63	0	23	4	875,000$
4	Austin Wagner	0		X	X		100.00	77	55	79	68	79	77	81	63	60	62	62	61	63	65	68	54	57	63	1	26	3	700,000$
5	Lane Pederson	0	X				100.00	75	49	81	63	81	81	78	58	78	60	65	58	64	70	66	58	40	62	0	26	1	775,000$
6	Marian Studenic (R)	0			X		100.00	66	55	81	63	75	80	82	51	52	62	59	67	62	54	49	73	50	60	0	25	1	700,000$
7	Luke Toporowski (R)	0	X	X	X		100.00	76	50	78	61	78	75	72	61	60	60	60	59	62	52	51	64	41	60	0	23	4	875,000$
8	Justin Scott	0	X				100.00	69	42	79	58	79	76	80	55	61	56	58	62	54	72	68	53	60	60	0	28	1	775,000$
9	Ryan Suzuki (R)	0	X				100.00	60	40	87	63	72	74	75	59	67	61	59	56	60	64	62	61	52	60	0	22	4	1,300,000$
10	Luka Burzan	0	X				100.00	60	36	89	57	73	67	52	51	60	54	56	58	54	55	57	75	40	55	0	24	2	775,000$
11	Ozzy Wiesblatt (R)	0	X		X		100.00	63	39	79	59	69	69	67	54	58	58	55	40	54	54	68	75	48	55	0	22	2	835,833$
12	Mitchell Hoelscher (R)	0	X				100.00	55	45	77	56	64	71	73	54	62	55	56	52	55	55	60	89	47	55	0	24	2	700,000$
13	Gabriel Carlsson	0				X	100.00	76	41	85	63	88	76	78	64	30	65	62	67	55	72	71	80	38	66	2	27	4	2,000,000$
14	Jordan Harris (R)	0				X	100.00	66	40	81	69	70	89	73	68	30	71	61	72	60	64	44	77	69	66	2	23	3	1,400,000$
15	Kodie Curran	0				X	100.00	76	31	79	66	80	75	76	59	30	59	58	67	58	76	76	29	27	65	0	34	2	752,000$
16	Ryan Merkley (R)	0				X	100.00	60	40	74	67	73	83	84	63	30	61	54	60	56	44	44	63	44	61	0	23	3	1,400,000$
17	Dmitry Osipov	0				X	100.00	83	74	61	54	92	62	79	53	30	51	54	60	56	70	67	50	39	61	0	27	3	775,000$
18	James Greenway (R)	0				X	100.00	86	55	66	55	95	67	66	55	30	55	54	61	55	62	42	64	26	60	0	25	3	775,000$
19	Turner Ottenbreit	0				X	100.00	72	49	72	55	82	66	83	53	30	54	53	57	48	67	65	52	49	60	0	26	3	700,000$
20	Jeremie Biakabutuka (R)	0				X	100.00	79	45	71	57	79	75	74	55	30	54	51	57	55	47	52	58	50	59	0	22	4	875,000$

	MOYENNE D’ÉQUIPE						100.00	73	50	80	72	82	86	88	71	58	71	67	73	65	78	73	58	87	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	Linus Ullmark	0	100.00	97	95	90	96	96	97	99	98	97	96	96	77	85	53	95	91	0	30	1	1,500,000$
2	Thatcher Demko	0	100.00	90	95	90	88	91	92	94	93	92	92	91	72	82	62	96	87	2	28	3	5,000,000$
Rayé
Équipe Mineure
1	Clay Stevenson (R)	0	100.00	76	70	70	85	75	75	76	76	77	76	75	64	71	43	70	74	0	25	4	875,000$
2	Matthew Villalta (R)	0	100.00	75	80	72	76	77	75	74	75	74	75	74	68	73	63	79	73	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	20	68	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	20	66	0	26	1	775,000$

	MOYENNE D’ÉQUIPE		100.00	94	95	90	92	94	95	97	96	95	94	94	75	84	58	96	89

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Kevin Shattenkirk	Columbus Blue Jackets	D	1	0	3	3	4	0	0	1	0	0	0	0%	2	25	25.72	0	0	0	0	1	3	0	0%	0	0	1	2.33	1	0	0
2	Mason Marchment	Columbus Blue Jackets	C/LW	1	0	3	3	2	2	4	1	3	1	4	0%	0	13	13.98	0	0	0	0	0	0	0	100.00%	2	0	0	4.29	0	0	0
3	Brent Burns	Columbus Blue Jackets	D	1	0	2	2	4	0	0	4	2	4	0	0%	0	26	26.67	0	0	0	0	1	5	0	0%	0	1	2	1.50	0	0	0
4	Anthony Beauvillier	Columbus Blue Jackets	LW/RW	1	2	0	2	1	0	1	1	3	0	2	66.67%	0	14	14.83	0	0	0	0	0	0	1	0%	1	1	0	2.70	0	0	1
5	Marco Rossi	Columbus Blue Jackets	C/LW	1	2	0	2	2	0	0	2	5	1	0	40.00%	0	15	15.13	0	0	0	0	0	1	0	54.55%	11	0	0	2.64	0	1	0
6	Robby Fabbri	Columbus Blue Jackets	C/LW/RW	1	0	2	2	1	0	3	0	2	0	1	0%	1	15	15.20	0	1	1	0	1	0	0	0%	0	1	0	2.63	0	0	0
7	Brad Marchand	Columbus Blue Jackets	C/LW/RW	1	1	0	1	1	2	4	1	6	2	1	16.67%	0	19	19.75	1	0	1	1	1	3	0	63.64%	22	0	1	1.01	0	0	0
8	Brock Nelson	Columbus Blue Jackets	C/LW/RW	1	1	0	1	1	0	0	0	3	3	4	33.33%	0	19	19.62	0	0	0	0	1	4	0	100.00%	1	3	0	1.02	0	0	0
9	Charlie Coyle	Columbus Blue Jackets	C/LW/RW	1	0	1	1	1	0	2	1	0	0	0	0%	2	19	19.67	0	0	0	0	0	5	0	57.14%	14	0	0	1.02	0	0	0
10	Logan OConnor	Columbus Blue Jackets	C/LW/RW	1	1	0	1	2	0	1	0	3	0	0	33.33%	0	13	13.17	0	0	0	0	0	0	0	0%	0	0	1	1.52	0	0	0
11	Pavel Zacha	Columbus Blue Jackets	C/LW/RW	1	0	1	1	1	0	0	0	0	0	0	0%	0	13	13.67	0	0	0	0	0	0	0	0%	2	0	0	1.46	0	0	0
12	Andrew Peeke	Columbus Blue Jackets	D	1	0	0	0	-1	2	1	1	0	0	0	0%	1	20	20.97	0	0	0	0	1	1	0	0%	0	0	0	0	0	0	0
13	Cody Ceci	Columbus Blue Jackets	D	1	0	0	0	-1	0	0	1	1	0	1	0%	0	16	16.83	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
14	Keegan Kolesar	Columbus Blue Jackets	C/LW/RW	1	0	0	0	-1	2	0	0	2	0	0	0%	0	9	9.53	0	0	0	0	0	0	0	0%	0	1	0	0	0	0	0
15	Justin Schultz	Columbus Blue Jackets	D	1	0	0	0	0	0	1	0	0	0	0	0%	1	11	11.45	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0
16	Mike Reilly	Columbus Blue Jackets	D	1	0	0	0	0	0	2	0	0	0	0	0%	0	18	18.35	0	0	0	0	1	5	0	0%	0	1	1	0	0	0	0
17	Patrick Maroon	Columbus Blue Jackets	LW/RW	1	0	0	0	-1	0	0	0	0	0	0	0%	0	8	8.73	0	0	0	0	0	0	0	0%	0	1	0	0	0	0	0
18	Filip Chytil	Columbus Blue Jackets	C/LW/RW	1	0	0	0	-1	0	0	0	2	1	3	0%	0	8	8.73	0	0	0	0	0	0	0	83.33%	6	2	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				18	7	12	19	15	8	19	13	32	12	16	21.88%	7	292	16.22	1	1	2	1	11	31	1	61.02%	59	11	6	1.30	1	1	1

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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Linus Ullmark	Columbus Blue Jackets	1	1	0	0	0.912	3.00	60	0	0	3	34	11	0	0	0	0	1	0	0	0	0
Statistiques d’équipe totales ou en moyenne			1	1	0	0	0.912	3.00	60	0	0	3	34	11	0	0		0	1	0	0	0	0

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	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10	Lien
Andrew Peeke	Columbus Blue Jackets	D	26	1998-03-17 06:26:24	No	210 Lbs	6 ft3	No	No	N/A	No	No	4	Pro Only	2,750,000$	2,357,143$	2,750,000$	2,357,143$	2,750,000$	2,357,143$	No	2,750,000$	2,750,000$	2,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Anthony Beauvillier	Columbus Blue Jackets	LW/RW	26	1997-06-08 04:38:20	No	182 Lbs	5 ft11	No	No	N/A	No	No	2	Pro Only	3,800,000$	3,257,143$	3,800,000$	3,257,143$	3,800,000$	3,257,143$	No	3,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Brad Marchand	Columbus Blue Jackets	C/LW/RW	35	1988-05-11	No	181 Lbs	6 ft7	No	No	N/A	No	No	2	Pro Only	6,125,000$	5,250,000$	6,125,000$	5,250,000$	6,125,000$	5,250,000$	No	6,125,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Brent Burns	Columbus Blue Jackets	D	39	1985-03-09	No	230 Lbs	6 ft5	No	No	N/A	No	No	2	Pro Only	8,000,000$	6,857,143$	7,720,000$	6,617,143$	7,720,000$	6,617,143$	No	8,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Brock Nelson	Columbus Blue Jackets	C/LW/RW	32	1991-10-15	No	212 Lbs	6 ft4	No	No	N/A	No	No	3	Pro Only	7,000,000$	6,000,000$	7,000,000$	6,000,000$	7,000,000$	6,000,000$	No	7,000,000$	7,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Charlie Coyle	Columbus Blue Jackets	C/LW/RW	32	1992-03-02	No	223 Lbs	6 ft3	No	No	N/A	No	No	1	Pro Only	5,250,000$	4,500,000$	5,250,000$	4,500,000$	5,250,000$	4,500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Cody Ceci	Columbus Blue Jackets	D	30	1993-12-21	No	210 Lbs	6 ft2	No	No	N/A	No	No	3	Pro Only	3,250,000$	2,785,714$	3,250,000$	2,785,714$	3,250,000$	2,785,714$	No	3,250,000$	3,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Filip Chytil	Columbus Blue Jackets	C/LW/RW	24	1999-09-05	No	210 Lbs	6 ft3	No	No	N/A	No	No	4	Pro Only	4,400,000$	3,771,429$	4,400,000$	3,771,429$	4,400,000$	3,771,429$	No	4,400,000$	4,400,000$	4,400,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Justin Schultz	Columbus Blue Jackets	D	33	1990-07-06	No	188 Lbs	6 ft2	No	No	N/A	No	No	4	Pro Only	3,700,000$	3,171,429$	3,700,000$	3,171,429$	3,700,000$	3,171,429$	No	3,700,000$	3,700,000$	3,700,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Keegan Kolesar	Columbus Blue Jackets	C/LW/RW	27	1997-04-08	No	217 Lbs	6 ft2	No	No	N/A	No	No	4	Pro & Farm	1,400,000$	1,200,000$	1,400,000$	1,200,000$	1,400,000$	1,200,000$	No	1,400,000$	1,400,000$	1,400,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Kevin Shattenkirk	Columbus Blue Jackets	D	35	1989-01-29	No	212 Lbs	6 ft0	No	No	N/A	No	No	4	Pro Only	5,700,000$	4,885,714$	5,700,000$	4,885,714$	5,700,000$	4,885,714$	No	5,700,000$	5,700,000$	5,700,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Linus Ullmark	Columbus Blue Jackets	G	30	1993-07-31	No	212 Lbs	6 ft4	No	No	N/A	No	No	1	Pro Only	1,500,000$	1,285,714$	1,500,000$	1,285,714$	1,500,000$	1,285,714$	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	N/A	No	No	4	Pro & Farm	1,000,000$	857,143$	1,000,000$	857,143$	1,000,000$	857,143$	No	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Marco Rossi	Columbus Blue Jackets	C/LW	22	2001-09-23 07:53:11	Yes	182 Lbs	5 ft9	No	No	N/A	No	No	1	Pro & Farm	894,167$	766,429$	894,167$	766,429$	894,167$	766,429$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Mason Marchment	Columbus Blue Jackets	C/LW	28	1995-06-18	No	210 Lbs	6 ft4	No	No	N/A	No	No	4	Pro Only	4,750,000$	4,071,429$	4,750,000$	4,071,429$	4,750,000$	4,071,429$	No	4,750,000$	4,750,000$	4,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Mike Reilly	Columbus Blue Jackets	D	30	1993-07-13	No	200 Lbs	6 ft2	No	No	N/A	No	No	4	Pro Only	2,500,000$	2,142,857$	2,500,000$	2,142,857$	2,500,000$	2,142,857$	No	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Milan Lucic	Columbus Blue Jackets	LW/RW	35	1988-06-07	No	231 Lbs	6 ft3	No	No	N/A	No	No	2	Pro & Farm	1,000,000$	857,143$	1,000,000$	857,143$	1,000,000$	857,143$	No	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Morgan Barron (contrat à 1 volet)	Columbus Blue Jackets	C	25	1998-12-02 06:28:40	Yes	220 Lbs	6 ft4	No	No	N/A	No	No	1	Pro & Farm	900,000$	771,429$	900,000$	771,429$	900,000$	771,429$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Patrick Maroon	Columbus Blue Jackets	LW/RW	36	1988-04-23	No	238 Lbs	6 ft2	No	No	N/A	No	No	2	Pro Only	1,800,000$	1,542,857$	1,800,000$	1,542,857$	1,800,000$	1,542,857$	No	1,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Pavel Zacha	Columbus Blue Jackets	C/LW/RW	27	1997-04-06	No	210 Lbs	6 ft3	No	No	N/A	No	No	4	Pro Only	4,750,000$	4,071,429$	4,500,000$	3,857,143$	4,500,000$	3,857,143$	No	4,750,000$	4,750,000$	4,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Robby Fabbri	Columbus Blue Jackets	C/LW/RW	28	1996-01-22	No	190 Lbs	5 ft10	No	No	N/A	No	No	3	Pro Only	4,000,000$	3,428,571$	4,000,000$	3,428,571$	4,000,000$	3,428,571$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Thatcher Demko	Columbus Blue Jackets	G	28	1995-12-08	No	192 Lbs	6 ft4	No	No	N/A	No	No	3	Pro Only	5,000,000$	4,285,714$	5,000,000$	4,285,714$	5,000,000$	4,285,714$	No	5,000,000$	5,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Zack MacEwen	Columbus Blue Jackets	C/LW/RW	27	1996-07-08	No	205 Lbs	6 ft3	No	No	N/A	No	No	4	Pro & Farm	1,000,000$	857,143$	1,000,000$	857,143$	1,000,000$	857,143$	No	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	29.65	206 Lbs	6 ft2	2.87	3,498,659$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
80,469,167$	71,925,000$	51,200,000$	31,950,000$	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	Marco Rossi	Logan OConnor	25	1	3	1
4	Patrick Maroon	Filip Chytil	Keegan Kolesar	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	Mike Reilly	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	Marco Rossi	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	Kevin Shattenkirk	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	Kevin Shattenkirk	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	Mike Reilly	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, Brent Burns, Andrew Peeke	Mike Reilly	Andrew Peeke , Mike Reilly

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

Gardien
#1 : Linus Ullmark, #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, Marco Rossi, Filip Chytil

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	Tampa Bay Lightning	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	2	3	2	0	32	11	12	9	0	34	7	8	19	2	1	50.00%	4	0	100.00%	0	11	16	68.75%	19	28	67.86%	6	15	40.00%	23	16	22	7	13	6
	Total	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	2	3	2	0	32	11	12	9	0	34	7	8	19	2	1	50.00%	4	0	100.00%	0	11	16	68.75%	19	28	67.86%	6	15	40.00%	23	16	22	7	13	6
	_Since Last GM Reset	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	2	3	2	0	32	11	12	9	0	34	7	8	19	2	1	50.00%	4	0	100.00%	0	11	16	68.75%	19	28	67.86%	6	15	40.00%	23	16	22	7	13	6
	_Vs Conference	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	2	3	2	0	32	11	12	9	0	34	7	8	19	2	1	50.00%	4	0	100.00%	0	11	16	68.75%	19	28	67.86%	6	15	40.00%	23	16	22	7	13	6

			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
1	2	W1	7	12	19	32	34	7	8	19	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	7	3

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

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	0	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
2	1	50.00%	4	0	100.00%	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
11	12	9	0	2	3	2	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
11	16	68.75%	19	28	67.86%	6	15	40.00%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
23	16	22	7	13	6

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	Lien
1	1	Tampa Bay Lightning	3	Columbus Blue Jackets	7	BW	Sommaire du match
3	9	Tampa Bay Lightning	-	Columbus Blue Jackets	-
5	17	Columbus Blue Jackets	-	Tampa Bay Lightning	-
7	25	Columbus Blue Jackets	-	Tampa Bay Lightning	-
9	33	Tampa Bay Lightning	-	Columbus Blue Jackets	-
11	41	Columbus Blue Jackets	-	Tampa Bay Lightning	-
13	49	Tampa Bay Lightning	-	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	6,000	5,000	2,000	4,000	1,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
40	18000 - 100.00%	1,892,300$	1,892,300$	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
0$	80,469,167$	79,939,167$	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
0$	0$	19,901,172$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	12	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	164,816,924$	164,816,924$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	83,500,000$	83,500,000$	-61,700,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Brad Marchand	AGE:35	PO:32	OV:77
Brock Nelson	AGE:32	PO:54	OV:74
Charlie Coyle	AGE:32	PO:57	OV:71
Mason Marchment	AGE:28	PO:45	OV:71
Pavel Zacha	AGE:27	PO:78	OV:70
Anthony Beauvillier	AGE:26	PO:71	OV:70
Filip Chytil	AGE:24	PO:73	OV:69
Robby Fabbri	AGE:28	PO:71	OV:69
Marco Rossi (R)	AGE:22	PO:85	OV:68
Logan OConnor	AGE:27	PO:68	OV:68
Zack MacEwen	AGE:27	PO:46	OV:67
Trey Fix Wolansky	AGE:24	PO:60	OV:66
Mason Shaw	AGE:25	PO:62	OV:65
Keegan Kolesar	AGE:27	PO:59	OV:65
Milan Lucic	AGE:35	PO:37	OV:64
Adam Klapka	AGE:23	PO:63	OV:63
Austin Wagner	AGE:26	PO:54	OV:63
Patrick Maroon	AGE:36	PO:51	OV:63
Luke Toporowski (R)	AGE:23	PO:64	OV:60

Brad Marchand	AGE:35	PO:32	OV:77
Brock Nelson	AGE:32	PO:54	OV:74
Charlie Coyle	AGE:32	PO:57	OV:71
Mason Marchment	AGE:28	PO:45	OV:71
Pavel Zacha	AGE:27	PO:78	OV:70
Filip Chytil	AGE:24	PO:73	OV:69
Robby Fabbri	AGE:28	PO:71	OV:69
Marco Rossi (R)	AGE:22	PO:85	OV:68
Logan OConnor	AGE:27	PO:68	OV:68
Zack MacEwen	AGE:27	PO:46	OV:67
Morgan Barron (R)	AGE:25	PO:73	OV:66
Trey Fix Wolansky	AGE:24	PO:60	OV:66
Mason Shaw	AGE:25	PO:62	OV:65
Keegan Kolesar	AGE:27	PO:59	OV:65
Lane Pederson	AGE:26	PO:58	OV:62
Luke Toporowski (R)	AGE:23	PO:64	OV:60
Ryan Suzuki (R)	AGE:22	PO:61	OV:60
Justin Scott	AGE:28	PO:53	OV:60
Mitchell Hoelscher (R)	AGE:24	PO:89	OV:55
Luka Burzan	AGE:24	PO:75	OV:55
Ozzy Wiesblatt (R)	AGE:22	PO:75	OV:55

Brad Marchand	AGE:35	PO:32	OV:77
Brock Nelson	AGE:32	PO:54	OV:74
Charlie Coyle	AGE:32	PO:57	OV:71
Pavel Zacha	AGE:27	PO:78	OV:70
Anthony Beauvillier	AGE:26	PO:71	OV:70
Filip Chytil	AGE:24	PO:73	OV:69
Robby Fabbri	AGE:28	PO:71	OV:69
Logan OConnor	AGE:27	PO:68	OV:68
Zack MacEwen	AGE:27	PO:46	OV:67
Trey Fix Wolansky	AGE:24	PO:60	OV:66
Keegan Kolesar	AGE:27	PO:59	OV:65
Milan Lucic	AGE:35	PO:37	OV:64
Adam Klapka	AGE:23	PO:63	OV:63
Austin Wagner	AGE:26	PO:54	OV:63
Patrick Maroon	AGE:36	PO:51	OV:63
Marian Studenic (R)	AGE:25	PO:73	OV:60
Luke Toporowski (R)	AGE:23	PO:64	OV:60
Ozzy Wiesblatt (R)	AGE:22	PO:75	OV:55

Défense #1

Défense #2

Gardien

Brent Burns	AGE:39	PO:33	OV:78
Andrew Peeke	AGE:26	PO:68	OV:73
Cody Ceci	AGE:30	PO:62	OV:73
Kevin Shattenkirk	AGE:35	PO:56	OV:73
Mike Reilly	AGE:30	PO:44	OV:71
Justin Schultz	AGE:33	PO:50	OV:70
Gabriel Carlsson	AGE:27	PO:80	OV:66

Jordan Harris (R)	AGE:23	PO:77	OV:66
Kodie Curran	AGE:34	PO:29	OV:65
Ryan Merkley (R)	AGE:23	PO:63	OV:61
Dmitry Osipov	AGE:27	PO:50	OV:61
James Greenway (R)	AGE:25	PO:64	OV:60
Turner Ottenbreit	AGE:26	PO:52	OV:60
Jeremie Biakabutuka (R)	AGE:22	PO:58	OV:59

Linus Ullmark	AGE:30	PO:53	OV:91
Thatcher Demko	AGE:28	PO:62	OV:87
Clay Stevenson (R)	AGE:25	PO:43	OV:74
Matthew Villalta (R)	AGE:24	PO:63	OV:73
Colten Ellis (R)	AGE:23	PO:77	OV:68
Jack LaFontaine (R)	AGE:26	PO:77	OV:66

Espoirs

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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
Choix au repêchage conditionnel

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.

Voir commentaires (1)

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

[2024-04-24 15:04:24] - Cleveland Monsters didn't make playoff for year 8.
[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.

[2024-04-25 11:18:50] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2024-04-25 11:18:25] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2024-04-25 11:17:54] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:24.202.95.211 .
[2024-04-20 07:43:55] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:39:50] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:39:27] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:39:06] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:38:57] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:38:52] Last 7 Days Farm Star : 1 - Mason Shaw of Cleveland Monsters (5-6-11) / 2 - Grigori Denisenko of Hershey Bears (5-0-5) / 3 - Cale Fleury of Syracuse Crunch (0-4-4)
[2024-04-20 07:38:47] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:38:33] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:38:17] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:36:40] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:36:28] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:35:51] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:35:41] Last 7 Days Farm Star : 1 - Ryan Dzingel of Laval Rocket (3-3-6) / 2 - Jeff Kubiak of Iowa Wild (4-0-4) / 3 - Trey Fix Wolansky of Cleveland Monsters (3-3-6)
[2024-04-20 07:34:16] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:32:34] Auto Lines Partial Function has been run for Cleveland Monsters.
[2024-04-20 07:32:34] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2024-04-20 07:32:34] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2024-04-20 07:32:34] Morgan Barron of Columbus Blue Jackets was sent to pro.
[2024-04-20 07:32:26] Cody Ceci from Columbus Blue Jackets is back from Bruised Left Foot Injury.
[2024-04-20 07:32:17] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:32:11] Last 7 Days Farm Star : 1 - Riley Tufte of Hartford Wolf Pack (5-1-6) / 2 - Justin Scott of Cleveland Monsters (5-1-6) / 3 - Cole Guttman of Hershey Bears (2-3-5)
[2024-04-20 07:31:58] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:31:58] Farm Game #1013 - Justin Scott from Cleveland Monsters has scored a Hat Trick!
[2024-04-20 07:28:02] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:27:58] Auto Lines Partial Function has been run for Cleveland Monsters.

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: 1 \| W: 1 \| L: 0 GF: 7 \| GA: 3 \| PP%: 50.00% \| PK%: 100.00% DG: Jean Deslauriers \| Morale : 99 \| Moyenne d’équipe : 72 Prochains matchs #9 vs Tampa Bay Lightning