Monsters
Accueil
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
	Blue Jackets 15-2-1, 31pts	5	FINAL	3	Hurricanes 4-13-2, 10pts

Team Stats
W3	Streak	OTL1
9-0-1	Home Record	1-7-1
6-2-0	Away Record	3-6-1
9-0-1	Last 10 Games	1-8-1
4.50	Goals Per Game	2.37
2.39	Goals Against Per Game	3.53
28.77%	Power Play Percentage	22.37%
86.36%	Penalty Kill Percentage	74.32%

Panthers
8-9-2, 18pts

FINAL

Blue Jackets
15-2-1, 31pts

Team Stats
L2	Streak	W3
4-4-1	Home Record	9-0-1
4-5-1	Away Record	6-2-0
3-6-1	Last 10 Games	9-0-1
3.00	Goals Per Game	4.50
3.32	Goals Against Per Game	2.39
22.22%	Power Play Percentage	28.77%
77.05%	Penalty Kill Percentage	86.36%

Blue Jackets
15-2-1, 31pts

2022-11-28

Rangers
5-12-2, 12pts

Statistiques d’équipe
W3	Séquence	W2
9-0-1	Fiche domicile	3-5-1
6-2-0	Fiche visiteur	2-7-1
9-0-1	10 derniers matchs	4-5-1
4.50	Buts par match	2.68
2.39	Buts contre par match	3.68
28.77%	Pourcentage en avantage numérique	12.31%
86.36%	Pourcentage en désavantage numérique	72.97%

Blue Jackets
15-2-1, 31pts

2022-12-02

Maple Leafs
10-5-3, 23pts

Statistiques d’équipe
W3	Séquence	W1
9-0-1	Fiche domicile	5-4-1
6-2-0	Fiche visiteur	5-1-2
9-0-1	10 derniers matchs	5-3-2
4.50	Buts par match	3.67
2.39	Buts contre par match	3.72
28.77%	Pourcentage en avantage numérique	18.97%
86.36%	Pourcentage en désavantage numérique	79.71%

Devils
10-7-2, 22pts

2022-12-03

Blue Jackets
15-2-1, 31pts

Statistiques d’équipe
W1	Séquence	W3
6-2-2	Fiche domicile	9-0-1
4-5-0	Fiche visiteur	6-2-0
5-3-2	10 derniers matchs	9-0-1
3.42	Buts par match	4.50
3.26	Buts contre par match	2.39
21.43%	Pourcentage en avantage numérique	28.77%
81.82%	Pourcentage en désavantage numérique	86.36%

Meneurs d'équipe
	Buts Chris Kreider 11	Passes Ryan O'Reilly 19

	Points Ryan O'Reilly 26	Plus/Moins Chris Kreider 13

	Victoires John Gibson 9	Pourcentage d’arrêts Jeremy Swayman 0.919

Statistiques d’équipe
Buts pour 81 4.50 GFG	Tirs pour 633 35.17 Avg	Pourcentage en avantage numérique 28.8% 21 GF	Début de zone offensive 42.6%
Buts contre 43 2.39 GAA	Tirs contre 518 28.78 Avg	Pourcentage en désavantage numérique 86.4% 9 GA	Début de la zone défensive 39.9%

Information d’équipe
	Directeur général	Eric Henault
	Entraîneur	Emily Castonguay
	Division	METROPOLITAINE
	Conférence	EST
	Capitaine	Steven Stamkos
	Assistant #1	Ryan McDonagh
	Assistant #2	Anthony Cirelli
Informations de l’aréna
	Nom	Nationwide Arena
	Capacité	17,000
	Assistance	0
	Billets de saison	6,800
Information formation
	Équipe Pro	22
	Équipe Mineure	32
	Limite contact	54 / 55
	Espoirs	31
Plafond salarial
	Cap Salarial de la Saison estimé	79,184,000$
	Plafond salarial disponible	3,316,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	60,877,960$
	Compte bancaire actuel	60,410,391$
	Compte bancaire projeté	-209,814$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Chris Kreider	0		X	X		100.00	78	34	86	82	88	89	86	78	63	71	89	74	83	78	79	0	50	82	0	31	3	7,838,000$
2	Steven Stamkos (C)	0	X	X	X		100.00	67	35	87	83	76	89	91	85	87	84	86	63	84	86	93	0	50	82	0	32	2	10,740,000$
3	Ryan O'Reilly	0	X				100.00	58	36	94	75	79	91	93	78	94	80	78	85	73	83	90	0	50	81	0	31	4	6,875,000$
4	Jonathan Marchessault	0		X	X		100.00	62	36	82	79	66	88	90	76	69	78	80	63	81	75	76	0	50	77	0	31	2	5,729,000$
5	Anthony Cirelli (A)	0	X	X			100.00	67	38	80	76	74	89	90	71	83	72	70	87	68	66	70	0	50	77	0	25	3	5,830,000$
6	Anthony Mantha	0		X	X		100.00	67	62	86	72	96	87	82	74	61	72	76	65	77	70	68	0	50	76	0	28	3	6,120,000$
7	Brian Boyle	0	X				100.00	82	73	87	61	99	77	78	62	79	63	66	84	61	86	79	0	50	75	0	37	1	2,162,000$
8	Artturi Lehkonen	0		X	X		100.00	73	34	92	73	69	84	87	68	63	67	71	82	68	70	69	0	50	75	0	27	2	930,000$
9	Mathieu Joseph	0		X	X		100.00	74	38	90	76	73	81	87	73	63	68	71	76	69	66	68	0	50	75	0	25	2	945,000$
10	Corey Perry	0			X		100.00	65	72	74	66	85	83	90	69	58	67	70	66	72	91	79	0	50	74	0	37	2	1,481,000$
11	Ryan Carpenter	0	X				100.00	81	37	84	62	74	81	87	63	81	61	62	79	58	73	72	0	50	72	0	31	2	4,050,000$
12	Alec Martinez	0				X	100.00	63	36	94	71	79	92	80	71	30	78	72	89	54	81	76	0	50	79	0	35	4	2,335,000$
13	Ryan McDonagh (A)	0				X	100.00	71	36	95	71	81	93	89	67	30	75	61	92	53	82	73	0	50	78	0	33	4	5,035,000$
14	Matt Dumba	0				X	100.00	76	37	73	77	71	93	87	73	30	76	69	78	57	72	69	0	50	77	0	28	4	2,699,000$
15	Erik Cernak	0				X	100.00	88	60	74	67	89	90	86	63	30	75	60	87	52	66	65	0	50	77	0	25	1	861,000$
16	David Savard	0				X	100.00	86	37	78	61	84	91	89	62	30	71	56	83	51	79	73	0	50	75	0	32	4	4,404,000$
17	Marco Scandella	0				X	100.00	71	37	89	64	86	89	91	62	30	70	59	85	52	79	73	0	50	75	0	32	3	1,992,000$
18	Kevan Miller	0				X	100.00	87	74	77	63	82	88	71	62	30	67	58	79	49	84	74	0	50	73	0	35	1	1,200,000$
Rayé
1	Laurent Dauphin	0	X				100.00	63	39	81	68	72	87	79	66	81	67	65	73	64	68	69	0	50	72	0	27	5	850,000$
2	Nicolas Deslauriers	0		X	X		100.00	90	89	67	62	81	78	90	62	59	61	64	66	58	75	73	0	50	71	0	31	2	920,000$
Équipe Mineure
1	Noah Cates	0		X			100.00	72	34	83	65	71	82	75	66	56	67	69	63	68	62	64	0	50	70	0	23	2	925,000$
2	Cedric Paquette	0	X				95.00	83	45	73	60	75	79	77	61	74	62	63	71	64	72	73	0	50	70	0	29	1	4,332,000$
3	Alex Limoges	0		X			97.00	66	38	93	65	78	80	86	61	64	62	66	61	65	66	67	0	50	69	0	25	3	1,500,000$
4	Marian Studenic	0		X	X		100.00	63	39	86	63	74	80	79	65	61	64	65	68	64	65	67	0	50	69	0	24	1	1,156,250$
5	Rafael Harvey-Pinard	0		X	X		100.00	76	35	83	64	66	82	86	64	57	62	66	61	65	64	69	0	50	69	0	23	5	825,000$
6	Garrett Pilon	0	X				100.00	63	37	93	65	73	86	79	61	75	62	67	61	65	64	66	0	50	68	0	24	2	989,000$
7	Steven Lorentz	0	X	X	X		100.00	65	38	95	64	88	77	86	65	80	62	61	56	62	66	67	0	50	68	0	26	4	1,199,000$
8	Adam Mascherin	0		X			100.00	63	46	81	64	72	77	82	65	68	61	63	62	64	65	67	0	50	67	0	24	1	750,000$
9	Bokondji Imama	0		X			100.00	77	85	64	59	82	69	80	60	56	61	62	58	57	66	68	0	50	67	0	26	3	1,211,000$
10	Otto Somppi	0	X				100.00	68	39	87	63	79	75	80	63	70	62	58	61	63	64	66	0	50	67	0	24	1	1,049,000$
11	Mark Kastelic	0	X				100.00	81	36	65	58	85	79	86	53	75	60	59	61	56	63	64	0	50	67	0	23	2	821,667$
12	Raphael Lavoie	0	X		X		100.00	77	34	87	56	86	92	83	57	61	58	59	60	56	62	64	0	50	67	0	22	5	925,000$
13	Pierre-Olivier Joseph	0				X	98.00	69	38	84	71	77	86	87	70	30	71	60	62	51	63	65	0	50	71	0	23	5	1,075,883$
14	Joel Hanley	0				X	100.00	69	36	84	68	71	80	75	66	30	70	55	64	53	71	72	0	50	69	0	31	2	1,150,000$
15	Nick Seeler	0				X	100.00	76	45	78	60	81	82	74	53	30	61	54	68	47	69	71	0	50	67	0	29	3	1,278,000$
16	Brian Lashoff	0				X	100.00	77	42	83	57	86	65	88	56	30	55	54	58	46	72	77	0	50	66	0	32	1	977,000$
17	Brady Keeper	0				X	100.00	58	35	95	58	80	77	73	60	30	59	56	62	50	69	65	0	50	65	0	26	2	954,000$
18	Isaak Phillips	0				X	100.00	67	38	76	57	82	77	85	59	30	57	56	60	48	61	63	0	50	65	0	21	2	925,000$
19	Jack Dugan	0		X			100.00	68	35	78	61	77	76	73	60	66	63	58	57	62	64	66	0	50	66	0	24	5	1,562,500$
20	Tyler Angle	0		X			100.00	58	36	89	64	67	88	89	62	59	63	58	57	64	62	65	0	50	66	0	22	2	925,000$
21	Ivan Chekhovich	0		X	X		100.00	50	35	95	63	67	80	74	64	56	62	59	60	64	63	62	0	50	65	0	23	1	903,333$
22	Dominic Turgeon	0	X				100.00	61	39	88	59	80	76	85	58	62	56	57	61	59	66	69	0	50	65	0	26	1	999,000$
23	Nathan Legare (R)	0			X		100.00	66	39	83	55	75	83	85	53	58	55	56	57	55	61	63	0	50	63	0	21	3	905,000$
24	Greg Pateryn	0				X	84.95	75	45	79	59	85	80	73	61	30	67	58	74	50	73	77	0	50	71	0	32	1	750,000$
25	Nikolas Brouillard	0				X	100.00	57	43	63	61	64	74	86	59	30	62	57	56	50	67	69	0	50	64	0	27	1	750,000$
26	Yanni Kaldis	0				X	100.00	61	38	86	59	70	74	81	58	30	62	54	57	45	67	69	0	50	64	0	27	1	750,000$
27	Ole Bjorgvik-Holm	0				X	100.00	69	34	83	57	78	72	77	59	30	58	53	56	46	59	61	0	50	63	0	20	2	917,500$

	MOYENNE D’ÉQUIPE					99.45	70	43	83	65	78	82	83	64	54	66	64	68	60	70	70	0	50	71

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
1	John Gibson	100.00	89	92	86	82	88	87	89	88	87	89	88	77	83	0	50	88	0	29	3	5,138,000$
2	Jeremy Swayman (R)	100.00	89	90	87	83	88	87	89	88	87	89	88	64	71	0	50	87	0	24	2	1,050,000$
Rayé
Équipe Mineure
1	Sam Montembeault	100.00	77	90	86	83	76	75	77	76	75	77	76	66	75	0	50	79	0	26	3	3,000,000$
2	Erik Kallgren	100.00	74	85	83	82	73	72	74	73	72	74	73	66	75	0	50	76	0	26	3	750,000$
3	Vasily Demchenko	100.00	72	78	76	79	71	70	72	71	70	72	71	73	77	0	50	74	0	28	2	750,000$
4	Jacob Ingham	100.00	68	65	66	84	67	66	68	67	66	68	67	63	67	0	50	70	0	22	2	850,000$
5	Lukas Parik	100.00	65	66	68	89	64	63	65	64	63	65	64	61	65	0	50	68	0	21	1	750,000$

	MOYENNE D’ÉQUIPE	100.00	76	81	79	83	75	74	76	75	74	76	75	67	73	0	50	77

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Emily Castonguay	75	75	75	75	75	75	75	Can	39	5	0$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du 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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	S1	S2	S3
1	Ryan O'Reilly	Blue Jackets	C	18	7	19	26	13	2	7	43	81	15	52	8.64%	2	374	20.83	2	6	8	21	58	0	0	0	0	12	0	0	55.60%	500	0	0	1.39	1	1	1
2	Chris Kreider	Blue Jackets	LW/RW	18	11	14	25	13	10	43	21	69	24	64	15.94%	1	352	19.57	4	4	8	20	58	0	0	0	0	0	1	1	51.61%	31	0	0	1.42	2	2	2
3	Ryan McDonagh	Blue Jackets	D	18	7	17	24	12	8	17	29	37	17	21	18.92%	32	446	24.79	2	4	6	20	55	0	1	1	0	62	1	2	0.00%	0	0	0	1.08	3	2	1
4	Anthony Cirelli	Blue Jackets	C/LW	17	10	12	22	11	4	30	48	64	17	38	15.63%	1	323	19.05	4	4	8	20	47	0	0	0	1	22	3	2	48.80%	416	0	2	1.36	2	1	2
5	Jonathan Marchessault	Blue Jackets	LW/RW	18	8	11	19	7	12	25	18	47	13	35	17.02%	1	346	19.24	2	5	7	8	54	0	0	0	0	3	3	0	47.83%	23	0	0	1.10	0	2	1
6	Steven Stamkos	Blue Jackets	C/LW/RW	18	6	13	19	10	8	16	36	74	19	61	8.11%	1	421	23.42	2	6	8	19	58	0	0	0	2	57	0	1	58.97%	156	1	0	0.90	0	1	0
7	Matt Dumba	Blue Jackets	D	18	6	10	16	13	18	58	24	37	10	28	16.22%	21	431	23.99	2	3	5	21	55	0	0	0	1	53	1	0	0.00%	0	0	0	0.74	1	2	1
8	Anthony Mantha	Blue Jackets	LW/RW	18	2	10	12	9	8	32	9	43	7	28	4.65%	1	331	18.43	0	2	2	9	55	0	0	0	0	0	1	0	68.42%	19	0	0	0.72	1	1	1
9	Artturi Lehkonen	Blue Jackets	LW/RW	17	3	8	11	5	2	13	11	21	7	21	14.29%	7	182	10.74	0	0	0	0	0	1	0	1	2	22	0	0	23.53%	17	0	0	1.21	0	0	0
10	Erik Cernak	Blue Jackets	D	18	2	9	11	7	24	50	15	30	11	15	6.67%	28	420	23.34	1	2	3	19	57	0	1	1	0	42	0	0	0.00%	0	0	0	0.52	0	0	0
11	Mathieu Joseph	Blue Jackets	LW/RW	18	6	5	11	6	10	22	18	36	7	21	16.67%	2	232	12.92	0	0	0	1	4	0	0	0	0	31	2	0	22.86%	35	0	0	0.95	0	1	2
12	David Savard	Blue Jackets	D	18	4	5	9	8	16	35	16	18	8	10	22.22%	12	331	18.41	2	1	3	6	57	0	0	0	1	54	1	0	0.00%	0	0	0	0.54	0	0	1
13	Laurent Dauphin	Blue Jackets	C	14	3	5	8	2	6	7	24	15	1	7	20.00%	1	176	12.61	0	0	0	0	0	0	0	0	1	39	0	0	50.58%	172	0	0	0.91	0	0	0
14	Alec Martinez	Blue Jackets	D	18	1	5	6	5	0	1	25	18	5	10	5.56%	15	325	18.11	0	0	0	0	0	0	0	0	0	11	1	0	0.00%	0	0	0	0.37	0	0	0
15	Brian Boyle	Blue Jackets	C	18	3	2	5	2	6	21	11	16	7	10	18.75%	0	164	9.16	0	0	0	0	0	1	1	2	3	34	0	0	48.57%	105	0	0	0.61	0	0	2
16	Marco Scandella	Blue Jackets	D	18	1	3	4	6	4	5	6	13	1	8	7.69%	10	207	11.55	0	0	0	0	0	0	0	0	0	3	0	0	0.00%	0	0	0	0.38	0	1	0
17	Ryan Carpenter	Blue Jackets	C	18	1	1	2	-1	4	14	6	7	1	6	14.29%	0	91	5.07	0	0	0	0	0	0	0	0	0	0	1	0	43.40%	106	0	0	0.44	0	0	0
18	Corey Perry	Blue Jackets	RW	18	0	1	1	-1	6	6	2	7	1	5	0.00%	0	99	5.52	0	1	1	1	2	0	0	0	0	0	0	0	50.00%	4	0	0	0.20	0	0	0
19	Rafael Harvey-Pinard	Monsters (CLB)	LW/RW	1	0	0	0	0	0	0	0	0	0	1	0.00%	0	10	10.78	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
20	Nicolas Deslauriers	Blue Jackets	LW/RW	1	0	0	0	0	0	0	1	0	0	1	0.00%	0	4	4.37	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0.00	0	0	0
Statistiques d’équipe totales ou en moyenne				320	81	150	231	127	148	402	363	633	171	442	12.80%	135	5276	16.49	21	38	59	165	565	2	3	5	11	452	15	6	51.17%	1585	1	2	0.88	10	14	14

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	SO	GA	SA	ST	BG	S1	S2
1	John Gibson	Blue Jackets	11	9	1	1	0.915	2.36	662	1	26	307	11	7	1	0
2	Jeremy Swayman	Blue Jackets	7	6	1	0	0.919	2.42	421	0	17	211	7	11	1	1
Statistiques d’équipe totales ou en moyenne			18	15	2	1	0.917	2.38	1083	1	43	518	18	18	2	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 joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Link
Alec Martinez	Blue Jackets	D	35	1987-07-26	No	209 Lbs	6 ft1	No	No	No	4	Pro & Farm	2,335,000$	1,795,188$		2,335,000$	1,795,188$	No	4,176,000$	4,176,000$	4,176,000$		Lien
Anthony Cirelli	Blue Jackets	C/LW	25	1997-07-15	No	191 Lbs	6 ft0	No	No	No	3	Pro & Farm	5,830,000$	4,482,204$		5,830,000$	4,482,204$	No	5,830,000$	5,830,000$			Lien
Anthony Mantha	Blue Jackets	LW/RW	28	1994-09-16	No	234 Lbs	6 ft5	No	No	No	3	Pro & Farm	6,120,000$	4,705,161$	5,074,750$	6,120,000$	4,705,161$	No	6,120,000$	6,120,000$			Lien
Artturi Lehkonen	Blue Jackets	LW/RW	27	1995-07-04	No	179 Lbs	5 ft11	No	No	No	2	Pro & Farm	930,000$	715,000$	1,500,000$	930,000$	715,000$	No	930,000$				Lien
Brian Boyle	Blue Jackets	C	37	1984-12-18	No	245 Lbs	6 ft6	No	No	No	1	Pro & Farm	2,162,000$	1,662,182$	2,162,000$	2,162,000$	1,662,183$	No					Lien
Chris Kreider	Blue Jackets	LW/RW	31	1991-04-30	No	223 Lbs	6 ft3	No	No	No	3	Pro & Farm	7,838,000$	6,025,989$		7,838,000$	6,025,989$	No	7,838,000$	7,838,000$			Lien
Corey Perry	Blue Jackets	RW	37	1985-05-16	No	206 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,481,000$	1,138,618$		1,481,000$	1,138,618$	No	1,850,000$				Lien
David Savard	Blue Jackets	D	32	1990-10-22	No	234 Lbs	6 ft1	No	No	No	4	Pro & Farm	4,404,000$	3,385,870$	650,000$	4,404,000$	3,385,871$	No	4,404,000$	4,404,000$	4,404,000$		Lien
Erik Cernak	Blue Jackets	D	25	1997-05-28	No	230 Lbs	6 ft3	No	No	No	1	Pro & Farm	861,000$	661,951$	650,000$	861,000$	661,952$	No					Lien
Jeremy Swayman	Blue Jackets	G	24	1998-11-24	Yes	197 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,050,000$	807,258$	1,050,000$	1,050,000$	807,258$	No	1,050,000$				Lien
John Gibson	Blue Jackets	G	29	1993-07-14	No	210 Lbs	6 ft2	No	No	No	3	Pro & Farm	5,138,000$	3,950,182$	525,000$	5,138,000$	3,950,183$	No	3,737,000$	3,269,000$			Lien
Jonathan Marchessault	Blue Jackets	LW/RW	31	1990-12-27	No	184 Lbs	5 ft9	No	No	No	2	Pro & Farm	5,729,000$	4,404,553$	5,000,001$	5,729,000$	4,404,554$	No	5,729,000$				Lien
Kevan Miller	Blue Jackets	D	35	1987-11-15	No	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,200,000$	922,580$	1,200,000$	1,200,000$	922,581$	No					Lien
Laurent Dauphin	Blue Jackets	C	27	1995-03-27	No	186 Lbs	6 ft0	No	No	No	5	Pro & Farm	850,000$	653,494$	850,000$	850,000$	653,495$	No	937,500$	937,500$	937,500$	937,500$	Lien
Marco Scandella	Blue Jackets	D	32	1990-02-23	No	212 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,992,000$	1,531,483$		1,992,000$	1,531,484$	No	1,992,000$	1,992,000$			Lien
Mathieu Joseph	Blue Jackets	LW/RW	25	1997-02-09	No	190 Lbs	6 ft1	No	No	No	2	Pro & Farm	945,000$	726,532$		945,000$	726,532$	No	945,000$				Lien
Matt Dumba	Blue Jackets	D	28	1994-07-25	No	181 Lbs	6 ft0	No	No	No	4	Pro & Farm	2,699,000$	2,075,037$	2,536,800$	2,699,000$	2,075,038$	No	2,699,000$	2,699,000$	2,699,000$		Lien
Nicolas Deslauriers	Blue Jackets	LW/RW	31	1991-02-22	No	220 Lbs	6 ft1	No	No	No	2	Pro & Farm	920,000$	707,311$		920,000$	707,312$	No	920,000$				Lien
Ryan Carpenter	Blue Jackets	C	31	1991-01-18	No	200 Lbs	6 ft0	No	No	No	2	Pro Only	4,050,000$	3,113,709$	650,000$	4,050,000$	3,113,710$	No	3,600,000$				Lien
Ryan McDonagh	Blue Jackets	D	33	1989-06-13	No	215 Lbs	6 ft1	No	No	No	4	Pro & Farm	5,035,000$	3,870,994$		5,035,000$	3,870,995$	No	5,035,000$	5,035,000$	5,035,000$		Lien
Ryan O'Reilly	Blue Jackets	C	31	1991-02-07	No	207 Lbs	6 ft1	No	No	No	4	Pro & Farm	6,875,000$	5,285,618$	6,603,600$	6,875,000$	5,285,618$	No	6,875,000$	6,875,000$	6,875,000$		Lien
Steven Stamkos	Blue Jackets	C/LW/RW	32	1990-02-07	No	193 Lbs	6 ft1	No	No	No	2	Pro & Farm	10,740,000$	8,257,096$		10,740,000$	8,257,097$	No	7,518,000$				Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	30.27	207 Lbs	6 ft2	2.68	3,599,273$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
79,184,000$	72,185,500$	49,175,500$	24,126,500$	937,500$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Chris Kreider	Ryan O'Reilly	Steven Stamkos	36	1	2	2
2	Anthony Mantha	Anthony Cirelli	Jonathan Marchessault	32	1	2	2
3	Mathieu Joseph	Brian Boyle	Artturi Lehkonen	22	1	2	2
4	Brian Boyle	Ryan Carpenter	Corey Perry	10	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan McDonagh	Matt Dumba	40	1	3	1
2	Erik Cernak	Alec Martinez	38	1	3	1
3	Marco Scandella	David Savard	22	1	3	1
4	Erik Cernak	Alec Martinez	0	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Chris Kreider	Ryan O'Reilly	Steven Stamkos	60	1	2	2
2	Jonathan Marchessault	Anthony Cirelli	Anthony Mantha	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan McDonagh	Matt Dumba	50	1	2	2
2	Erik Cernak	David Savard	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Brian Boyle	Mathieu Joseph	50	1	2	2
2	Steven Stamkos	Ryan O'Reilly	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan McDonagh	Matt Dumba	50	1	2	2
2	David Savard	Erik Cernak	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Steven Stamkos	50	1	2	2	Ryan McDonagh	David Savard	50	1	2	2
2	Anthony Cirelli	50	1	2	2	Matt Dumba	Erik Cernak	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Ryan O'Reilly	Steven Stamkos	50	1	2	2
2	Mathieu Joseph	Jonathan Marchessault	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan McDonagh	David Savard	50	1	2	2
2	Matt Dumba	Erik Cernak	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Chris Kreider	Ryan O'Reilly	Steven Stamkos	Ryan McDonagh	Matt Dumba

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Anthony Cirelli	Ryan O'Reilly	Artturi Lehkonen	Ryan McDonagh	David Savard

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mathieu Joseph, Steven Stamkos, Jonathan Marchessault	Mathieu Joseph, Steven Stamkos	Steven Stamkos

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
David Savard, Erik Cernak, Matt Dumba	Ryan McDonagh	Ryan McDonagh, Matt Dumba

Tirs de pénalité
Ryan O'Reilly, Anthony Mantha, Steven Stamkos, Chris Kreider, Mathieu Joseph

Gardien
#1 : Jeremy Swayman, #2 : John Gibson

Lignes d’attaque personnalisées en prolongation
Steven Stamkos, Jonathan Marchessault, Anthony Cirelli, Chris Kreider, Ryan O'Reilly, Mathieu Joseph, Mathieu Joseph, Anthony Mantha, Artturi Lehkonen, Corey Perry, Brian Boyle

Lignes de défense personnalisées en prolongation
Ryan McDonagh, David Savard, Matt Dumba, Erik Cernak, Alec Martinez

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	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	Capitals	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	7	12	19	0	0	0	4	3	0	77	24	28	25	0	75	11	22	46	10	1	10.00%	9	2	77.78%	1	359	673	53.34%	316	631	50.08%	136	276	49.28%	47	32	48	15	23	11
2	Coyotes	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	0	2	2	1.000	2	4	6	0	1	2	0	0	0	27	12	5	10	0	22	10	12	21	4	1	25.00%	6	0	100.00%	0	359	673	53.34%	316	631	50.08%	136	276	49.28%	21	13	25	7	13	6
3	Devils	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	8	1	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	15	23	0	0	4	1	3	0	39	17	9	13	0	28	7	10	35	5	1	20.00%	5	0	100.00%	0	359	673	53.34%	316	631	50.08%	136	276	49.28%	25	17	20	6	13	6
4	Flyers	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	6	8	14	0	0	1	2	3	0	57	17	15	25	0	58	13	14	37	5	2	40.00%	7	1	85.71%	1	359	673	53.34%	316	631	50.08%	136	276	49.28%	45	29	49	15	25	12
5	Hurricanes	3	3	0	0	0	0	0	0	11	6	5	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	5	3	2	6	1.000	11	20	31	0	0	3	4	4	0	100	37	31	32	0	80	21	30	59	14	4	28.57%	13	2	84.62%	0	359	673	53.34%	316	631	50.08%	136	276	49.28%	73	50	66	23	39	20
6	Islanders	2	0	0	0	2	0	0	0	10	8	2	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	1	0	0	0	5	4	1	4	1.000	10	19	29	0	0	6	1	1	2	78	22	25	29	2	62	9	18	37	10	2	20.00%	8	2	75.00%	0	359	673	53.34%	316	631	50.08%	136	276	49.28%	53	38	45	13	24	12
7	Panthers	2	2	0	0	0	0	0	0	13	5	8	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	8	2	6	4	1.000	13	25	38	0	0	8	2	3	0	83	38	23	22	0	69	19	8	50	7	3	42.86%	3	0	100.00%	0	359	673	53.34%	316	631	50.08%	136	276	49.28%	48	34	46	13	24	13
8	Penguins	2	1	0	0	0	1	0	0	7	6	1	2	1	0	0	0	1	0	0	7	6	1	0	0	0	0	0	0	0	0	0	0	0	3	0.750	7	13	20	0	0	2	3	2	0	60	17	17	25	1	59	22	20	60	2	0	0.00%	8	2	75.00%	0	359	673	53.34%	316	631	50.08%	136	276	49.28%	45	30	49	16	26	12
9	Rangers	2	2	0	0	0	0	0	0	10	5	5	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	2	3	4	1.000	10	20	30	0	0	4	6	0	0	68	23	25	20	0	35	14	8	38	10	5	50.00%	4	0	100.00%	0	359	673	53.34%	316	631	50.08%	136	276	49.28%	51	36	42	15	25	13
10	Red Wings	1	1	0	0	0	0	0	0	7	1	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	1	6	2	1.000	7	14	21	0	0	3	3	1	0	44	13	16	15	0	30	9	6	19	6	2	33.33%	3	0	100.00%	0	359	673	53.34%	316	631	50.08%	136	276	49.28%	23	16	23	7	13	6
	Total	18	13	2	0	2	1	0	0	81	43	38	10	8	0	0	1	1	0	0	46	22	24	8	5	2	0	1	0	0	0	35	21	14	31	0.861	81	150	231	0	1	33	26	20	2	633	220	194	216	3	518	135	148	402	73	21	28.77%	66	9	86.36%	2	359	673	53.34%	316	631	50.08%	136	276	49.28%	436	301	417	135	229	115
	_Since Last GM Reset	18	13	2	0	2	1	0	0	81	43	38	10	8	0	0	1	1	0	0	46	22	24	8	5	2	0	1	0	0	0	35	21	14	31	0.861	81	150	231	0	1	33	26	20	2	633	220	194	216	3	518	135	148	402	73	21	28.77%	66	9	86.36%	2	359	673	53.34%	316	631	50.08%	136	276	49.28%	436	301	417	135	229	115
	_Vs Conference	17	12	2	0	2	1	0	0	79	43	36	10	8	0	0	1	1	0	0	46	22	24	7	4	2	0	1	0	0	0	33	21	12	29	0.853	79	146	225	0	0	31	26	20	2	606	208	189	206	3	496	125	136	381	69	20	28.99%	60	9	85.00%	2	359	673	53.34%	316	631	50.08%	136	276	49.28%	415	287	391	127	216	109
	_Vs Division	14	9	2	0	2	1	0	0	59	37	22	9	7	0	0	1	1	0	0	41	19	22	5	2	2	0	1	0	0	0	18	18	0	23	0.821	59	107	166	0	0	20	21	16	2	479	157	150	169	3	397	97	122	312	56	15	26.79%	54	9	83.33%	2	359	673	53.34%	316	631	50.08%	136	276	49.28%	342	236	321	106	179	89

			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
18	31	W3	81	150	231	633	518	135	148	402	0	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	13	2	2	1	0	0	81	43

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	8	0	1	1	0	0	46	22

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	5	2	1	0	0	0	35	21

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
9	0	0	1	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
73	21	28.77%	66	9	86.36%	2

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
220	194	216	3	33	26	20	2

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
359	673	53.34%	316	631	50.08%	136	276	49.28%

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
436	301	417	135	229	115

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	Lien
3 - 2022-10-18	16	Capitals	1	Blue Jackets	5	BW		Sommaire du match
4 - 2022-10-19	31	Blue Jackets	5	Islanders	4	AW	X	Sommaire du match
6 - 2022-10-21	46	Rangers	3	Blue Jackets	5	BW		Sommaire du match
9 - 2022-10-24	65	Devils	1	Blue Jackets	8	BW		Sommaire du match
11 - 2022-10-26	74	Blue Jackets	1	Flyers	4	AL		Sommaire du match
13 - 2022-10-28	93	Blue Jackets	2	Capitals	5	AL		Sommaire du match
16 - 2022-10-31	113	Hurricanes	1	Blue Jackets	2	BW		Sommaire du match
20 - 2022-11-04	134	Hurricanes	2	Blue Jackets	4	BW		Sommaire du match
21 - 2022-11-05	140	Blue Jackets	5	Rangers	2	AW		Sommaire du match
24 - 2022-11-08	167	Flyers	1	Blue Jackets	5	BW		Sommaire du match
25 - 2022-11-09	180	Blue Jackets	7	Red Wings	1	AW		Sommaire du match
29 - 2022-11-13	193	Blue Jackets	2	Coyotes	0	AW		Sommaire du match
31 - 2022-11-15	205	Islanders	4	Blue Jackets	5	BW	X	Sommaire du match
33 - 2022-11-17	227	Blue Jackets	8	Panthers	2	AW		Sommaire du match
36 - 2022-11-20	237	Penguins	3	Blue Jackets	2	BL	X	Sommaire du match
38 - 2022-11-22	257	Penguins	3	Blue Jackets	5	BW		Sommaire du match
39 - 2022-11-23	267	Blue Jackets	5	Hurricanes	3	AW		Sommaire du match
42 - 2022-11-26	290	Panthers	3	Blue Jackets	5	BW		Sommaire du match
44 - 2022-11-28	306	Blue Jackets	-	Rangers	-
48 - 2022-12-02	324	Blue Jackets	-	Maple Leafs	-
49 - 2022-12-03	334	Devils	-	Blue Jackets	-
52 - 2022-12-06	356	Blue Jackets	-	Coyotes	-
53 - 2022-12-07	369	Senateurs	-	Blue Jackets	-
58 - 2022-12-12	394	Islanders	-	Blue Jackets	-
59 - 2022-12-13	408	Blue Jackets	-	Devils	-
62 - 2022-12-16	423	Devils	-	Blue Jackets	-
63 - 2022-12-17	436	Blue Jackets	-	Devils	-
65 - 2022-12-19	454	Blue Jackets	-	Sharks	-
67 - 2022-12-21	469	Ducks	-	Blue Jackets	-
72 - 2022-12-26	488	Stars	-	Blue Jackets	-
76 - 2022-12-30	515	Blues	-	Blue Jackets	-
78 - 2023-01-01	533	Blue Jackets	-	Islanders	-
80 - 2023-01-03	546	Hurricanes	-	Blue Jackets	-
84 - 2023-01-07	560	Blue Jackets	-	Penguins	-
86 - 2023-01-09	578	Wild	-	Blue Jackets	-
88 - 2023-01-11	600	Blue Jackets	-	Canucks	-
90 - 2023-01-13	612	Sabres	-	Blue Jackets	-
92 - 2023-01-15	632	Blue Jackets	-	Capitals	-
93 - 2023-01-16	644	Bruins	-	Blue Jackets	-
96 - 2023-01-19	664	Blue Jackets	-	Devils	-
99 - 2023-01-22	677	Canadiens	-	Blue Jackets	-
101 - 2023-01-24	698	Blue Jackets	-	Islanders	-
102 - 2023-01-25	710	Canadiens	-	Blue Jackets	-
104 - 2023-01-27	731	Blue Jackets	-	Canadiens	-
105 - 2023-01-28	739	Avalanches	-	Blue Jackets	-
108 - 2023-01-31	766	Blue Jackets	-	Islanders	-
109 - 2023-02-01	772	Lightnings	-	Blue Jackets	-
111 - 2023-02-03	786	Blue Jackets	-	Panthers	-
112 - 2023-02-04	802	Predateurs	-	Blue Jackets	-
115 - 2023-02-07	819	Blue Jackets	-	Hurricanes	-
119 - 2023-02-11	837	Blue Jackets	-	Kraken	-
120 - 2023-02-12	844	Flames	-	Blue Jackets	-
122 - 2023-02-14	867	Flyers	-	Blue Jackets	-
126 - 2023-02-18	882	Blue Jackets	-	Blackhawks	-
128 - 2023-02-20	898	Blues	-	Blue Jackets	-
130 - 2023-02-22	920	Blue Jackets	-	Hurricanes	-
131 - 2023-02-23	930	Islanders	-	Blue Jackets	-
133 - 2023-02-25	946	Blue Jackets	-	Sabres	-
136 - 2023-02-28	963	Red Wings	-	Blue Jackets	-
137 - 2023-03-01	970	Blue Jackets	-	Golden Knights	-
140 - 2023-03-04	994	Blue Jackets	-	Kings	-
142 - 2023-03-06	999	Oilers	-	Blue Jackets	-
144 - 2023-03-08	1009	Blue Jackets	-	Capitals	-
146 - 2023-03-10	1030	Capitals	-	Blue Jackets	-
148 - 2023-03-12	1044	Blue Jackets	-	Bruins	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2023-03-14	1062	Flyers	-	Blue Jackets	-
152 - 2023-03-16	1073	Blue Jackets	-	Jets	-
155 - 2023-03-19	1096	Red Wings	-	Blue Jackets	-
157 - 2023-03-21	1112	Blue Jackets	-	Senateurs	-
158 - 2023-03-22	1124	Rangers	-	Blue Jackets	-
160 - 2023-03-24	1131	Blue Jackets	-	Coyotes	-
162 - 2023-03-26	1141	Blue Jackets	-	Rangers	-
164 - 2023-03-28	1165	Capitals	-	Blue Jackets	-
169 - 2023-04-02	1191	Penguins	-	Blue Jackets	-
171 - 2023-04-04	1216	Maple Leafs	-	Blue Jackets	-
173 - 2023-04-06	1222	Blue Jackets	-	Lightnings	-
175 - 2023-04-08	1234	Blue Jackets	-	Penguins	-
176 - 2023-04-09	1251	Maple Leafs	-	Blue Jackets	-
179 - 2023-04-12	1264	Blue Jackets	-	Penguins	-
181 - 2023-04-14	1279	Blue Jackets	-	Flyers	-
182 - 2023-04-15	1292	Rangers	-	Blue Jackets	-
184 - 2023-04-17	1301	Blue Jackets	-	Flyers	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	5000	4000	3000	4000	1000
Prix des billets	87	55	34	21	163
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
31	0 - 0.00%	0$	0$	17000	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$	79,184,000$	28,452,151$	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
79,184,000$	0$	0$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	143	425,720$	60,877,960$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
63,692,200$	60,410,391$	-209,814$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
79,184,000$	3,316,000$	82,500,000$	18,684,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Chris Kreider	AGE:31	PO:0	OV:82
Steven Stamkos	AGE:32	PO:0	OV:82
Jonathan Marchessault	AGE:31	PO:0	OV:77
Anthony Cirelli	AGE:25	PO:0	OV:77
Anthony Mantha	AGE:28	PO:0	OV:76
Artturi Lehkonen	AGE:27	PO:0	OV:75
Mathieu Joseph	AGE:25	PO:0	OV:75
Nicolas Deslauriers	AGE:31	PO:0	OV:71
Noah Cates	AGE:23	PO:0	OV:70
Alex Limoges	AGE:25	PO:0	OV:69
Marian Studenic	AGE:24	PO:0	OV:69
Rafael Harvey-Pinard	AGE:23	PO:0	OV:69
Steven Lorentz	AGE:26	PO:0	OV:68
Adam Mascherin	AGE:24	PO:0	OV:67
Bokondji Imama	AGE:26	PO:0	OV:67
Jack Dugan	AGE:24	PO:0	OV:66
Tyler Angle	AGE:22	PO:0	OV:66
Ivan Chekhovich	AGE:23	PO:0	OV:65

Steven Stamkos	AGE:32	PO:0	OV:82
Ryan O'Reilly	AGE:31	PO:0	OV:81
Anthony Cirelli	AGE:25	PO:0	OV:77
Brian Boyle	AGE:37	PO:0	OV:75
Ryan Carpenter	AGE:31	PO:0	OV:72
Laurent Dauphin	AGE:27	PO:0	OV:72
Cedric Paquette	AGE:29	PO:0	OV:70
Garrett Pilon	AGE:24	PO:0	OV:68
Steven Lorentz	AGE:26	PO:0	OV:68
Otto Somppi	AGE:24	PO:0	OV:67
Mark Kastelic	AGE:23	PO:0	OV:67
Raphael Lavoie	AGE:22	PO:0	OV:67
Dominic Turgeon	AGE:26	PO:0	OV:65

Chris Kreider	AGE:31	PO:0	OV:82
Steven Stamkos	AGE:32	PO:0	OV:82
Jonathan Marchessault	AGE:31	PO:0	OV:77
Anthony Mantha	AGE:28	PO:0	OV:76
Artturi Lehkonen	AGE:27	PO:0	OV:75
Mathieu Joseph	AGE:25	PO:0	OV:75
Corey Perry	AGE:37	PO:0	OV:74
Nicolas Deslauriers	AGE:31	PO:0	OV:71
Marian Studenic	AGE:24	PO:0	OV:69
Rafael Harvey-Pinard	AGE:23	PO:0	OV:69
Steven Lorentz	AGE:26	PO:0	OV:68
Raphael Lavoie	AGE:22	PO:0	OV:67
Ivan Chekhovich	AGE:23	PO:0	OV:65
Nathan Legare (R)	AGE:21	PO:0	OV:63

Défense #1

Défense #2

Gardien

Alec Martinez	AGE:35	PO:0	OV:79
Ryan McDonagh	AGE:33	PO:0	OV:78
Matt Dumba	AGE:28	PO:0	OV:77
Erik Cernak	AGE:25	PO:0	OV:77
David Savard	AGE:32	PO:0	OV:75
Marco Scandella	AGE:32	PO:0	OV:75
Kevan Miller	AGE:35	PO:0	OV:73
Pierre-Olivier Joseph	AGE:23	PO:0	OV:71
Greg Pateryn	AGE:32	PO:0	OV:71

Joel Hanley	AGE:31	PO:0	OV:69
Nick Seeler	AGE:29	PO:0	OV:67
Brian Lashoff	AGE:32	PO:0	OV:66
Brady Keeper	AGE:26	PO:0	OV:65
Isaak Phillips	AGE:21	PO:0	OV:65
Nikolas Brouillard	AGE:27	PO:0	OV:64
Yanni Kaldis	AGE:27	PO:0	OV:64
Ole Bjorgvik-Holm	AGE:20	PO:0	OV:63

John Gibson	AGE:29	PO:0	OV:88
Jeremy Swayman (R)	AGE:24	PO:0	OV:87
Sam Montembeault	AGE:26	PO:0	OV:79
Erik Kallgren	AGE:26	PO:0	OV:76
Vasily Demchenko	AGE:28	PO:0	OV:74
Jacob Ingham	AGE:22	PO:0	OV:70
Lukas Parik	AGE:21	PO:0	OV:68

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
Alex Laferriere	Blue Jackets	2021	46
Alexis Gravel	Blue Jackets	2019	100
Arseni Sergeev	Blue Jackets	2022	130
Brady Gilmour	Blue Jackets	2018	181
Brandon Saigeon	Blue Jackets	2019	89
Brendan De Jong	Blue Jackets	2018	160
Brett Berard	Blue Jackets	2021	115
David Noel	Blue Jackets	2018	118
Dmitry Voronkov	Blue Jackets	2020	86
Jacob Paquette	Blue Jackets	2018	197
Jocktan Chainey	Blue Jackets	2018	87
Jordan Hollett	Blue Jackets	2018	190
Justin Robidas	Blue Jackets	2022	86
Logan Cockerill	Blue Jackets	2018	212
Manix Landry	Blue Jackets	2022	149
Matt Brassard	Blue Jackets	2018	95
Mikhail Shalagin	Blue Jackets	2020	175
Milos Roman	Blue Jackets	2019	124
Olivier Nadeau	Blue Jackets	2022	56
Pavel Koltygin	Blue Jackets	2018	74
Pavel Novak	Blue Jackets	2021	148
Radim Salda	Blue Jackets	2019	163
Semyon Kizimov	Blue Jackets	2019	200
Shawn Boudrias	Blue Jackets	2019	126
Skyler Brind'Amour	Blue Jackets	2018	194
Valentin Nussbaumer	Blue Jackets	2020	206
Ville Koivunen	Blue Jackets	2022	41
Vladislav Yeryomenko	Blue Jackets	2019	169
Xavier Bouchard	Blue Jackets	2019	132
Zachary Bouthillier	Blue Jackets	2019	191
Zachary L'Heureux	Blue Jackets	2022	28

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2023
2024
2025
2026
2027

La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.

[2022-10-29 16:47:22] - Yanni Kaldis signed with Blue Jackets for 750 000 $ for 1 year(s).
[2022-10-29 16:47:22] - Yanni Kaldis was added to Blue Jackets.
[2022-10-29 16:47:05] - Nikolas Brouillard signed with Blue Jackets for 750 000 $ for 1 year(s).
[2022-10-29 16:47:05] - Nikolas Brouillard was added to Blue Jackets.
[2022-10-04 17:18:51] - TRADE : From Blue Jackets to Panthers : Y:2023-RND:5-VAN.
[2022-09-30 21:00:16] - Rafael Harvey-Pinard has been selected as assistant for Monsters.
[2022-09-30 21:00:16] - Unknown Player is no longer as assistant for Monsters.
[2022-09-30 21:00:16] - Raphael Lavoie has been selected as assistant for Monsters.
[2022-09-30 21:00:16] - Unknown Player is no longer as assistant for Monsters.
[2022-09-30 21:00:16] - Pierre-Olivier Joseph has been selected as captain for Monsters.
[2022-09-30 21:00:16] - Unknown Player is no longer captain for Monsters.
[2022-09-05 10:15:56] - Raphael Lavoie has been selected as assistant for Monsters.
[2022-09-05 10:15:56] - Jack Dugan is no longer as assistant for Monsters.
[2022-09-02 21:15:53] - TRADE : From Panthers to Blue Jackets : Jonathan Marchessault (77).
[2022-09-02 21:15:53] - TRADE : From Blue Jackets to Panthers : Oliver Bjorkstrand (76).
[2022-08-31 12:48:28] - Adam Mascherin signed with Blue Jackets for 750 000 $ for 1 year(s).
[2022-08-31 12:48:28] - Adam Mascherin was added to Blue Jackets.
[2022-08-29 17:51:47] - Joel Hanley signed with Blue Jackets for 1 150 000 $ for 2 year(s).
[2022-08-29 17:51:47] - Joel Hanley was added to Blue Jackets.
[2022-08-29 17:51:29] - Kevan Miller signed with Blue Jackets for 1 200 000 $ for 1 year(s).
[2022-08-29 17:51:29] - Kevan Miller was added to Blue Jackets.
[2022-08-28 16:31:38] - Greg Pateryn signed with Blue Jackets for 750 000 $ for 1 year(s).
[2022-08-28 16:31:38] - Greg Pateryn was added to Blue Jackets.
[2022-08-24 18:43:48] - TRADE : From Blue Jackets to Capitals : Matt Martin (71).
[2022-08-24 18:43:48] - TRADE : From Capitals to Blue Jackets : Y:2023-RND:4-WAS.
[2022-08-24 17:22:17] - Cole Coskey was released.
[2022-08-24 17:22:17] - Blue Jackets paid 0 $ to release Cole Coskey.
[2022-08-24 17:22:12] - Wyatte Wylie was released.
[2022-08-24 17:22:12] - Blue Jackets paid 0 $ to release Wyatte Wylie.
[2022-08-24 17:21:58] - Jan Drozg was released.
[2022-08-24 17:21:58] - Blue Jackets paid 0 $ to release Jan Drozg.
[2022-08-24 17:21:53] - Kyle Olson was released.
[2022-08-24 17:21:53] - Blue Jackets paid 0 $ to release Kyle Olson.
[2022-07-17 19:58:25] - Tyrell Goulbourne was released.
[2022-07-17 19:58:25] - Andy Welinski was released.

[2022-11-26 16:22:54] Auto Lines Partial Function has been run for Monsters.
[2022-11-26 16:22:54] Monsters (Blue Jackets) lines errors : Normal line # 1 C is empty. Normal line # 1 RW is empty. Unknown Player is used twice in Normal line #1 Normal line # 2 RW is empty. Unknown Player is used twice in Normal lines 1 and 2. Unknown Player is used twice in Normal lines 1 and 2. PP line1 C is empty. PP line2 RW is empty. PK line 2 C is empty. 4 vs 4 line 2 C is empty. PK line 2 LW is empty. Unknown Player is used twice in PK line#2 Unknown Player is used twice in PP lines 1 and 2. LastMinOff line C is empty. LastMinDef line C is empty. Extra Forward #1 is empty. Extra Forward #3 is empty. Penalty Shot Player #3 is empty. Unknown Player is used twice in Extra Forward Normal OT Forward #1 is empty. OT Forward #6 is empty. OT Forward #10 is empty. Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward
[2022-11-26 16:22:54] Auto Lines Partial Function has been run for Blue Jackets.
[2022-11-26 16:22:54] Blue Jackets lines errors : Normal line # 3 C is empty. 4 vs 4 line 2 C is empty. PK line 2 LW is empty. OT Forward #10 is empty.
[2022-11-26 16:22:54] Auto Roster Partial Function has been run for Blue Jackets.
[2022-11-26 16:22:54] Monsters roster errors : Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2022-11-26 16:22:50] Cedric Paquette from Monsters is back from Exhaustion.
[2022-11-25 16:09:03] Last 7 Days Pro Star : 1 - Anthony Cirelli of Blue Jackets (3-3-6) / 2 - Auston Matthews of Canadiens (3-4-7) / 3 - Robin Lehner of Avalanches (0,957)
[2022-11-25 16:09:03] Cedric Paquette from Monsters is injured from Exhaustion.
[2022-11-25 16:08:50] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-11-25 16:08:07] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-11-25 16:07:31] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-11-24 16:43:55] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-11-24 16:42:45] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-11-24 16:40:46] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-11-23 16:29:38] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-11-23 16:23:58] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-11-23 16:19:20] Successfully loaded Blue Jackets lines done with Web Base Client and SQLite Database.
[2022-11-22 18:03:41] Cedric Paquette from Monsters is back from Exhaustion.
[2022-11-22 18:03:41] Alex Limoges from Monsters is back from Exhaustion.
[2022-11-22 16:54:00] Cedric Paquette from Monsters is injured from Exhaustion.
[2022-11-22 16:54:00] Alex Limoges from Monsters is injured from Exhaustion.
[2022-11-22 16:52:11] Pro Game #257 - Anthony Cirelli from Blue Jackets has scored a Hat Trick!
[2022-11-19 18:19:17] Farm Game #237 - Noah Cates from Monsters has scored a Hat Trick!
[2022-11-18 17:22:33] Last 7 Days Pro Star : 1 - Aleksander Barkov of Panthers (6-2-8) / 2 - Sebastian Aho of Penguins (4-4-8) / 3 - Chris Kreider of Blue Jackets (3-3-6)
[2022-11-16 16:34:40] Steven Lorentz from Monsters is back from Bruised Right Leg Injury.
[2022-11-15 16:13:09] Successfully loaded Blue Jackets lines done with STHS Client - 3.3.1.1

Pas de blessure ou de suspension.

Blue Jackets Leaders statistiques (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

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

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

Blue Jackets Leaders statistiques (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

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

	Blue Jackets
	GP: 18 \| W: 15 \| L: 2 \| OTL: 1 \| P: 31 GF: 81 \| GA: 43 \| PP%: 28.77% \| PK%: 86.36% DG: Eric Henault \| Morale : 50 \| Moyenne d’équipe : 77 Prochain matchs #306 vs Rangers