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
	Montreal Canadiens 14-7-2, 30pts	4	FINAL	2	Columbus Blue Jackets 12-8-2, 26pts

Team Stats
OTL1	Séquence	W1
11-1-0	Fiche domicile	8-3-1
3-6-2	Fiche visiteur	4-5-1
4-5-1	Derniers 10 matchs	5-5-0
3.70	Buts par match	3.23
3.43	Buts contre par match	3.00
24.51%	Pourcentage en avantage numérique	28.77%
81.11%	Pourcentage en désavantage numérique	83.91%

Calgary Flames
18-5-2, 38pts

FINAL

Columbus Blue Jackets
12-8-2, 26pts

Team Stats
W1	Séquence	W1
10-1-1	Fiche domicile	8-3-1
8-4-1	Fiche visiteur	4-5-1
7-1-2	Derniers 10 matchs	5-5-0
4.20	Buts par match	3.23
3.04	Buts contre par match	3.00
14.78%	Pourcentage en avantage numérique	28.77%
82.47%	Pourcentage en désavantage numérique	83.91%

Columbus Blue Jackets
12-8-2, 26pts

Jour 59

Chicago Blackhawks
9-11-3, 21pts

Statistiques d’équipe
W1	Séquence	L3
8-3-1	Fiche domicile	3-4-2
4-5-1	Fiche visiteur	6-7-1
5-5-0	10 derniers matchs	3-5-2
3.23	Buts par match	2.70
3.00	Buts contre par match	2.70
28.77%	Pourcentage en avantage numérique	19.47%
83.91%	Pourcentage en désavantage numérique	73.12%

Columbus Blue Jackets
12-8-2, 26pts

Jour 61

Calgary Flames
18-5-2, 38pts

Statistiques d’équipe
W1	Séquence	W1
8-3-1	Fiche domicile	10-1-1
4-5-1	Fiche visiteur	8-4-1
5-5-0	10 derniers matchs	7-1-2
3.23	Buts par match	4.20
3.00	Buts contre par match	4.20
28.77%	Pourcentage en avantage numérique	14.78%
83.91%	Pourcentage en désavantage numérique	82.47%

Columbus Blue Jackets
12-8-2, 26pts

Jour 63

Edmonton Oilers
3-19-2, 8pts

Statistiques d’équipe
W1	Séquence	L2
8-3-1	Fiche domicile	3-8-1
4-5-1	Fiche visiteur	0-11-1
5-5-0	10 derniers matchs	0-8-2
3.23	Buts par match	2.33
3.00	Buts contre par match	2.33
28.77%	Pourcentage en avantage numérique	11.11%
83.91%	Pourcentage en désavantage numérique	72.38%

Meneurs d'équipe
	Buts Elias Pettersson 10	Passes Cale Makar 26

	Points Cale Makar 34	Plus/Moins Elias Pettersson 9

	Victoires Linus Ullmark 11	Pourcentage d’arrêts Linus Ullmark 0.911

Statistiques d’équipe
Buts pour 71 3.23 GFG	Tirs pour 649 29.50 Avg	Pourcentage en avantage numérique 28.8% 21 GF	Début de zone offensive 40.6%
Buts contre 66 3.00 GAA	Tirs contre 642 29.18 Avg	Pourcentage en désavantage numérique 83.9%% 14 GA	Début de la zone défensive 41.1%

Informations de l'équipe
	Directeur général	Alexandre Fyfe
	Entraîneur	Bruce Cassidy
	Division	Metropolitan
	Conférence	Eastern Conference
	Capitaine	Elias Pettersson
	Assistant #1	David Pastrnak
	Assistant #2
Informations de l’aréna
	Nom	Nationwide Arena
	Capacité	20,000
	Assistance	18,411
	Billets de saison	8,000
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	12
	Limite contact	34 / 250
	Espoirs	24
Plafond salarial
	Cap Salarial de la Saison estimé	60,747,952$
	Plafond salarial disponible	22,752,048$
	Valeur du plafond salarial spécial	4,500,000$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	21,345,506$
	Dépenses annuelles à ce jour	19,189,508$
	Revenus de la saison estimés	51,584,973$
	Dépenses de la saison estimées	48,425,932$
	Compte bancaire actuel	133,048,278$
	Compte bancaire projeté	137,773,261$

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
1	Anze Kopitar	X				100.00	65	38	95	74	88	92	90	78	85	82	77	87	76	92	96	38	52	0	0	37	2	7,000,000$
2	Andrew Cogliano	X	X	X		100.00	64	33	88	69	66	79	89	65	62	63	61	87	64	91	77	37	49	0	0	37	2	1,000,000$
3	David Pastrnak (A)		X	X		100.00	70	38	84	88	74	92	87	89	57	86	93	66	91	75	74	67	48	0	0	28	1	4,000,000$
4	Matt Nieto		X	X		100.00	64	34	94	67	72	82	79	65	59	62	63	77	64	79	73	43	59	0	0	31	3	2,750,000$
5	Elias Pettersson (C)	X	X	X		100.00	72	35	95	83	76	91	90	82	77	87	84	86	81	69	77	84	45	0	0	25	3	7,800,000$
6	Alex Tuch		X	X		100.00	69	44	84	80	89	90	88	75	58	81	79	85	77	71	76	69	59	0	0	28	2	4,750,000$
7	Alex Iafallo	X	X			100.00	63	35	95	72	75	86	87	69	57	71	67	81	68	75	77	34	59	0	0	30	1	2,450,000$
8	Kirby Dach	X		X		100.00	62	44	79	76	89	87	47	75	70	73	67	71	75	63	65	89	60	0	0	23	1	2,500,000$
9	Alexander Holtz (R)			X		100.00	64	37	93	70	73	82	81	67	59	61	68	64	73	62	65	87	43	0	0	22	1	925,000$
10	Cole Smith		X	X		100.00	85	70	74	66	82	80	88	63	54	65	60	83	58	69	72	36	57	0	0	28	4	775,000$
11	Cole Sillinger (R)	X				100.00	73	42	83	68	77	85	89	66	75	65	62	74	67	63	65	85	59	0	0	21	2	925,000$
12	Juraj Slafkovsky (R)		X	X		100.00	75	49	77	71	89	87	83	73	59	72	69	65	71	62	70	94	59	0	0	20	1	950,000$
13	Ryan Suter				X	100.00	70	36	90	67	78	92	90	65	30	74	55	77	50	94	80	34	59	0	0	39	3	2,000,000$
14	Jake Walman				X	100.00	66	39	77	72	81	90	84	71	30	70	73	89	58	69	71	53	49	0	0	28	2	750,000$
15	Moritz Seider				X	100.00	82	56	82	75	84	93	90	74	30	80	64	93	55	65	72	87	59	0	0	23	2	832,500$
16	Cale Makar				X	100.00	67	34	90	85	72	95	86	82	30	95	81	93	63	68	70	85	59	0	0	25	3	9,000,000$
17	Jake Sanderson				X	100.00	64	39	93	75	81	93	89	71	30	78	65	89	55	63	70	89	59	0	0	22	1	925,000$
18	Pavel Mintyukov (R)				X	100.00	68	35	88	71	76	89	72	67	30	73	59	68	53	60	65	86	48	0	0	20	2	950,000$
Rayé
1	Leon Draisaitl	X	X	X		87.03	67	36	80	85	82	92	90	89	88	92	90	66	89	77	78	72	47	0	0	28	1	9,000,000$
2	Chad Ruhwedel				X	100.00	77	34	93	63	71	83	78	58	30	62	54	79	47	75	74	23	34	0	0	34	5	800,000$
Équipe Mineure
1	Danick Martel		X			100.00	40	35	40	58	35	80	90	40	20	40	40	40	30	69	71	11	47	0	0	29	2	950,000$
2	Phillip Di Giuseppe		X	X		100.00	73	41	79	65	73	87	82	63	66	65	64	71	66	72	74	59	43	0	0	30	4	775,000$
3	Michael Pezzetta	X	X			100.00	93	78	70	65	81	73	83	63	58	62	59	61	64	66	67	48	47	0	0	26	4	800,000$
4	Dylan Holloway (R)	X	X			100.00	76	42	81	66	79	81	82	64	60	61	67	62	68	63	65	83	47	0	0	23	1	925,000$
5	Vasily Podkolzin (R)			X		100.00	76	38	89	66	75	86	84	64	63	60	62	61	62	63	65	85	47	0	0	23	2	925,000$
6	Alexander Petrovic				X	100.00	81	71	77	60	91	78	86	59	30	58	57	61	48	73	74	47	50	0	0	32	2	900,000$
7	Andreas Englund				X	100.00	81	73	69	63	86	79	87	61	30	65	58	67	49	68	70	62	47	0	0	28	1	700,000$
8	Dennis Cholowski (R)				X	100.00	67	38	93	63	82	80	86	62	30	60	55	59	48	66	68	78	50	0	0	26	1	750,000$
9	Jordan Spence				X	100.00	66	41	89	67	68	83	85	65	30	73	59	63	50	63	65	62	45	0	0	23	1	750,000$

	MOYENNE D’ÉQUIPE					99.55	70	44	83	71	77	86	84	68	50	70	66	73	63	71	72	63	51	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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Linus Ullmark	100.00	84	98	82	89	85	89	90	91	91	77	97	76	85	54	65	0	0	31	1	3,500,000$
2	Dennis Hildeby (R)	100.00	58	95	74	91	59	62	62	62	62	51	70	63	69	58	55	0	0	23	1	850,000$
Rayé
Équipe Mineure
1	Scott Wedgewood	100.00	77	98	75	81	78	78	79	78	79	66	88	74	86	50	46	0	0	32	1	700,000$
2	Cale Morris	100.00	59	95	67	75	60	52	52	52	53	44	64	68	81	36	50	0	0	28	1	750,000$
3	Jet Greaves (R)	100.00	69	99	85	71	70	65	64	64	65	53	76	63	69	58	45	0	0	23	2	775,000$

	MOYENNE D’ÉQUIPE	100.00	69	97	77	81	70	69	69	69	70	58	79	69	78	51	52	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Cassidy	88	91	90	89	88	82	58	CAN	59	2	4,200,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Cale Makar	Columbus Blue Jackets	D	22	8	26	34	-1	26	0	33	28	64	15	34	12.50%	29	552	25.11	4	8	12	35	59	0	0	0	0	65	1	0	0%	0	0	1.23	0	0	0	2	3	1
2	Moritz Seider	Columbus Blue Jackets	D	22	5	15	20	-1	28	0	46	17	30	15	21	16.67%	22	498	22.64	2	7	9	18	59	1	0	1	2	56	1	0	0%	0	0	0.80	0	0	0	0	1	2
3	Elias Pettersson	Columbus Blue Jackets	C/LW/RW	14	10	9	19	9	8	0	17	33	49	13	42	20.41%	1	277	19.85	2	3	5	9	44	0	0	0	0	0	2	1	47.37%	19	1	1.37	0	1	0	2	0	1
4	Anze Kopitar	Columbus Blue Jackets	C	23	7	9	16	-12	2	0	13	49	62	20	37	11.29%	2	422	18.37	1	5	6	6	38	0	0	0	0	36	0	0	54.79%	522	1	0.76	0	2	0	1	1	1
5	Alex Tuch	Columbus Blue Jackets	LW/RW	22	10	6	16	-7	8	0	27	31	67	20	61	14.93%	6	422	19.21	4	2	6	12	57	0	0	0	0	0	2	2	34.38%	32	0	0.76	1	1	0	2	2	0
6	Leon Draisaitl	Columbus Blue Jackets	C/LW/RW	12	5	9	14	4	2	0	13	25	53	4	41	9.43%	2	255	21.27	1	2	3	9	38	0	0	0	0	2	1	0	49.71%	348	0	1.10	1	3	0	0	2	0
7	Kirby Dach	Columbus Blue Jackets	C/RW	20	8	6	14	0	6	0	19	23	37	10	21	21.62%	1	280	14.03	1	4	5	6	24	0	0	0	0	0	3	0	51.54%	324	0	1.00	0	1	0	1	1	1
8	David Pastrnak	Columbus Blue Jackets	LW/RW	20	6	5	11	-8	6	0	40	27	83	29	53	7.23%	2	384	19.24	3	0	3	15	53	0	0	0	1	3	0	0	26.19%	42	0	0.57	0	1	0	0	0	2
9	Juraj Slafkovsky	Columbus Blue Jackets	LW/RW	22	5	6	11	9	20	0	44	11	36	10	26	13.89%	0	428	19.48	3	1	4	8	51	0	0	0	0	0	0	0	53.13%	32	0	0.51	0	1	0	1	0	0
10	Ryan Suter	Columbus Blue Jackets	D	22	2	5	7	-4	10	0	22	14	20	4	10	10.00%	32	381	17.36	0	3	3	10	56	0	0	0	0	26	0	0	0%	0	0	0.37	0	0	0	1	0	0
11	Alex Iafallo	Columbus Blue Jackets	C/LW	22	2	4	6	-1	8	0	11	21	31	12	35	6.45%	4	324	14.77	0	1	1	0	4	0	1	1	1	92	0	0	46.51%	86	0	0.37	2	2	0	0	1	0
12	Jake Sanderson	Columbus Blue Jackets	D	22	1	5	6	0	2	0	7	19	13	3	12	7.69%	25	435	19.79	0	0	0	0	0	0	0	0	1	83	0	0	0%	0	0	0.28	0	0	0	0	0	1
13	Pavel Mintyukov	Columbus Blue Jackets	D	18	0	5	5	-1	6	0	16	8	7	3	6	0%	13	275	15.30	0	3	3	5	50	0	0	0	0	0	0	0	0%	0	0	0.36	0	0	0	0	0	0
14	Andrew Cogliano	Columbus Blue Jackets	C/LW/RW	20	1	3	4	0	4	0	8	23	14	11	16	7.14%	7	226	11.33	0	0	0	0	4	0	0	0	1	78	0	0	46.80%	203	0	0.35	0	0	0	0	0	0
15	Jake Walman	Columbus Blue Jackets	D	22	1	3	4	3	20	0	33	22	10	6	14	10.00%	29	450	20.48	0	0	0	0	0	0	0	0	0	64	0	1	0%	0	0	0.18	0	0	0	0	0	0
16	Cole Smith	Columbus Blue Jackets	LW/RW	22	1	3	4	3	38	10	37	12	25	4	14	4.00%	5	216	9.84	0	0	0	0	0	0	1	1	2	46	0	0	33.33%	12	0	0.37	0	0	2	0	0	0
17	Cole Sillinger	Columbus Blue Jackets	C	22	1	2	3	-1	2	0	12	19	22	4	13	4.55%	1	222	10.13	0	0	0	1	0	0	0	0	0	34	0	0	48.11%	264	0	0.27	0	0	0	0	0	0
18	Phillip Di Giuseppe	Cleveland Monsters (CBJ)	LW/RW	11	0	2	2	-2	2	0	11	5	3	1	5	0%	0	80	7.34	0	0	0	0	2	0	0	0	0	0	0	0	38.46%	13	0	0.50	0	0	0	0	0	0
19	Matt Nieto	Columbus Blue Jackets	LW/RW	22	0	1	1	2	4	0	4	9	10	4	7	0%	1	146	6.65	0	0	0	0	0	0	0	0	1	29	0	0	36.84%	19	0	0.14	0	0	0	0	0	0
20	Chad Ruhwedel	Columbus Blue Jackets	D	2	0	0	0	0	0	0	1	0	0	0	0	0%	0	4	2.36	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0
21	Alexander Holtz	Columbus Blue Jackets	RW	11	0	0	0	-6	2	0	7	4	12	1	3	0%	0	155	14.18	0	0	0	2	4	0	0	0	0	0	0	0	60.00%	15	0	0	0	0	0	0	0	0
22	Jordan Spence	Cleveland Monsters (CBJ)	D	4	0	0	0	-2	0	0	2	1	1	0	0	0%	1	62	15.53	0	0	0	0	5	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				397	73	124	197	-16	204	10	423	401	649	189	471	11.25%	183	6506	16.39	21	39	60	136	557	1	2	3	9	621	10	4	49.77%	1931	2	0.61	4	12	2	10	11	9

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	A	EG	PS %	PSA	ST	BG	S2	S3
1	Linus Ullmark	Columbus Blue Jackets	17	11	4	2	0.911	2.49	1038	2	1	43	484	0	0	0.714	14	17	4	2	3
2	Dennis Hildeby	Columbus Blue Jackets	2	1	1	0	0.881	3.50	120	0	0	7	59	1	0	0	0	2	9	0	0
3	Scott Wedgewood	Cleveland Monsters (CBJ)	1	0	1	0	0.927	3.00	60	2	0	3	41	0	0	0	0	1	6	0	0
4	Jet Greaves	Cleveland Monsters (CBJ)	2	0	2	0	0.807	5.55	119	0	0	11	57	0	1	0	0	2	3	0	0
Statistiques d’équipe totales ou en moyenne			22	12	8	2	0.900	2.87	1338	4	1	64	641	1	1		14	22	22	2	3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 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
Alex Iafallo	Columbus Blue Jackets	C/LW	30	1993-12-21	USA	No	201 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	2,450,000$	1,728,680$	2,450,000$	1,728,680$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Alex Tuch	Columbus Blue Jackets	LW/RW	28	1996-05-10	USA	No	215 Lbs	6 ft4	No	No	N/A		No	No	2		False	False	Pro & Farm	4,750,000$	3,351,523$	4,750,000$	3,351,523$	No	4,750,000$	-	-	-	-	-	-	-	-	4,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Alexander Holtz	Columbus Blue Jackets	RW	22	2002-01-23	SWE	Yes	195 Lbs	6 ft0	No	No	Assign Manually		No	No	1	2024-08-20	False	False	Pro & Farm	925,000$	652,665$	925,000$	652,665$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Andrew Cogliano	Columbus Blue Jackets	C/LW/RW	37	1987-07-28	CAN	No	179 Lbs	5 ft10	No	No	N/A		No	No	2		False	False	Pro Only	1,000,000$	705,584$	1,000,000$	705,584$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Anze Kopitar	Columbus Blue Jackets	C	37	1987-07-28	SVN	No	225 Lbs	6 ft3	No	No	Trade	2024-10-15	No	No	2	2024-05-19	False	False	Pro & Farm	7,000,000$	4,939,086$	7,000,000$	4,939,086$	No	7,000,000$	-	-	-	-	-	-	-	-	7,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Cale Makar	Columbus Blue Jackets	D	25	1998-10-30	CAN	No	187 Lbs	6 ft0	No	No	N/A		No	No	3		False	False	Pro & Farm	9,000,000$	6,350,254$	9,000,000$	6,350,254$	No	9,000,000$	9,000,000$	-	-	-	-	-	-	-	9,000,000$	9,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Chad Ruhwedel	Columbus Blue Jackets	D	34	1990-05-07	USA	No	191 Lbs	5 ft11	No	No	N/A		No	No	5	2024-05-19	False	False	Pro & Farm	800,000$	564,467$	800,000$	564,467$	No	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	800,000$	800,000$	800,000$	800,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien
Cole Sillinger	Columbus Blue Jackets	C	21	2003-05-16	CAN	Yes	199 Lbs	6 ft1	No	No	N/A		No	No	2	2024-05-19	False	False	Pro & Farm	925,000$	652,665$	925,000$	652,665$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Cole Smith	Columbus Blue Jackets	LW/RW	28	1995-10-28	USA	No	195 Lbs	6 ft3	No	No	Assign Manually		No	No	4	2024-08-27	False	False	Pro & Farm	775,000$	546,827$	775,000$	546,827$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	600,000$	600,000$	600,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
David Pastrnak	Columbus Blue Jackets	LW/RW	28	1996-05-25	CZE	No	196 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	4,000,000$	2,822,335$	4,000,000$	2,822,335$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Dennis Hildeby	Columbus Blue Jackets	G	23	2001-08-19	SWE	Yes	209 Lbs	6 ft5	No	No	Trade	2024-09-14	No	No	1	2024-08-20	False	False	Pro & Farm	850,000$	599,746$	850,000$	599,746$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Elias Pettersson	Columbus Blue Jackets	C/LW/RW	25	1998-11-12	SWE	No	176 Lbs	6 ft2	No	No	N/A		No	No	3		False	False	Pro & Farm	7,800,000$	5,503,553$	7,800,000$	5,503,553$	No	7,800,000$	7,800,000$	-	-	-	-	-	-	-	7,800,000$	7,800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Jake Sanderson	Columbus Blue Jackets	D	22	2002-07-08	USA	No	203 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	652,665$	925,000$	652,665$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Jake Walman	Columbus Blue Jackets	D	28	1996-02-20	CAN	No	218 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	750,000$	529,188$	750,000$	529,188$	No	750,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Juraj Slafkovsky	Columbus Blue Jackets	LW/RW	20	2004-03-30	SVK	Yes	230 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2024-08-20	False	False	Pro & Farm	950,000$	670,305$	950,000$	670,305$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Kirby Dach	Columbus Blue Jackets	C/RW	23	2001-01-21	CAN	No	212 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	2,500,000$	1,763,959$	2,500,000$	1,763,959$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Leon Draisaitl (sur la masse salariale)	Columbus Blue Jackets	C/LW/RW	28	1995-10-27	DEU	No	209 Lbs	6 ft2	No	No	Trade	2024-05-31	No	No	1		False	False	Pro & Farm	9,000,000$	6,350,254$	0$	0$	Yes	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Linus Ullmark	Columbus Blue Jackets	G	31	1993-07-31	SWE	No	213 Lbs	6 ft4	No	No	Trade	2024-05-31	No	No	1		False	False	Pro & Farm	3,500,000$	2,469,543$	3,500,000$	2,469,543$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Matt Nieto	Columbus Blue Jackets	LW/RW	31	1992-11-05	USA	No	187 Lbs	5 ft11	No	No	N/A		No	No	3		False	False	Pro & Farm	2,750,000$	1,940,355$	2,750,000$	1,940,355$	No	2,750,000$	2,750,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Moritz Seider	Columbus Blue Jackets	D	23	2001-04-06	DEU	No	205 Lbs	6 ft3	No	No	N/A		No	No	2	2024-05-19	False	False	Pro & Farm	832,500$	587,398$	832,500$	587,398$	No	832,500$	-	-	-	-	-	-	-	-	832,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Pavel Mintyukov	Columbus Blue Jackets	D	20	2003-11-25	RUS	Yes	195 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2024-08-20	False	False	Pro & Farm	950,000$	670,305$	950,000$	670,305$	No	950,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Ryan Suter	Columbus Blue Jackets	D	39	1985-07-28	USA	No	201 Lbs	6 ft1	No	No	N/A		No	No	3		False	False	Pro & Farm	2,000,000$	1,411,168$	2,000,000$	1,411,168$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	27.41	202 Lbs	6 ft2	2.00	2,928,750$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
64,432,500$	39,332,500$	23,125,000$	1,575,000$	800,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Elias Pettersson	Kirby Dach	Juraj Slafkovsky	40	0	1	4
2	David Pastrnak	Anze Kopitar	Alex Tuch	36	0	2	3
3	Alex Iafallo	Cole Sillinger	Alexander Holtz	18	0	3	2
4	Cole Smith	Andrew Cogliano	Matt Nieto	6	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cale Makar	Jake Walman	38	0	3	2
2	Jake Sanderson	Moritz Seider	32	0	4	1
3	Pavel Mintyukov	Ryan Suter	24	0	4	1
4	Cale Makar	Moritz Seider	6	0	4	1

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Elias Pettersson	Anze Kopitar	David Pastrnak	75	0	0	5
2	Juraj Slafkovsky	Kirby Dach	Alex Tuch	25	0	1	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cale Makar	Moritz Seider	70	0	1	4
2	Pavel Mintyukov	Ryan Suter	30	0	2	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Alex Iafallo	Cole Smith	60	1	4	0
2	Andrew Cogliano	Matt Nieto	40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Sanderson	Jake Walman	55	1	4	0
2	Cale Makar	Moritz Seider	45	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Anze Kopitar	55	1	4	0	Jake Sanderson	Jake Walman	55	1	4	0
2	Andrew Cogliano	45	1	4	0	Cale Makar	Moritz Seider	45	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Anze Kopitar	David Pastrnak	60	0	1	4
2	Anze Kopitar	Alex Tuch	40	0	1	4

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Sanderson	Jake Walman	60	0	3	2
2	Cale Makar	Moritz Seider	40	0	3	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Elias Pettersson	Anze Kopitar	David Pastrnak	Cale Makar	Moritz Seider

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex Iafallo	Anze Kopitar	Elias Pettersson	Cale Makar	Jake Sanderson

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Alexander Holtz, Juraj Slafkovsky, David Pastrnak	Alex Tuch, Cole Sillinger	Matt Nieto

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Moritz Seider, Cale Makar, Jake Sanderson	Jake Sanderson	Cale Makar, Jake Sanderson

Tirs de pénalité
David Pastrnak, Anze Kopitar, Juraj Slafkovsky, Alex Tuch, Cale Makar

Gardien
#1 : Linus Ullmark, #2 : Dennis Hildeby

Lignes d’attaque personnalisées en prolongation
David Pastrnak, Elias Pettersson, Anze Kopitar, Alex Tuch, Kirby Dach, Juraj Slafkovsky, Juraj Slafkovsky, Cole Sillinger, Alex Iafallo, Matt Nieto, Cole Smith

Lignes de défense personnalisées en prolongation
Cale Makar, Moritz Seider, Jake Sanderson, Jake Walman, Ryan Suter

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim Ducks	1	0	1	0	0	0	0	0	4	7	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	4	7	11	0	0	2	2	0	0	26	9	9	8	0	32	14	6	8	3	2	66.67%	3	1	66.67%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	23	16	23	6	12	6
2	Boston Bruins	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	0	0	2	0	20	3	6	11	0	32	11	10	21	3	2	66.67%	5	2	60.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	23	15	23	6	13	6
3	Buffalo Sabres	1	1	0	0	0	0	0	0	3	0	3	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	1	1	1	1	0	27	12	7	8	0	14	3	4	22	3	0	0.00%	2	0	100.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	25	17	21	6	12	6
4	Calgary Flames	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	1	2	0	0	26	4	10	12	0	27	7	13	23	3	0	0.00%	4	0	100.00%	1	391	760	51.45%	388	770	50.39%	164	344	47.67%	22	15	25	8	12	5
5	Carolina Hurricanes	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	2	0	1	0	19	5	7	7	0	27	10	25	13	2	1	50.00%	5	0	100.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	24	17	22	7	13	6
6	Colorado Avalanche	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	1	3	1	0	43	12	17	14	0	17	9	8	19	4	1	25.00%	4	0	100.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	28	20	19	7	12	6
7	Edmonton Oilers	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	1	2	2	0	44	17	15	12	0	26	9	12	27	6	2	33.33%	5	0	100.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	29	21	19	5	10	5
8	Florida Panthers	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	0	3	1	0	25	11	8	6	0	37	9	10	25	4	1	25.00%	5	1	80.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	24	16	24	7	11	5
9	Los Angeles Kings	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	2	0	2	0	22	11	4	7	0	27	3	6	32	2	2	100.00%	3	1	66.67%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	21	15	24	7	13	6
10	Minnesota Wild	2	0	0	0	1	1	0	0	5	5	0	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	5	10	15	0	0	0	1	3	1	65	18	27	18	2	71	21	14	37	11	1	9.09%	5	0	100.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	49	34	47	14	26	13
11	Montreal Canadiens	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	5	8	0	0	1	0	2	0	61	19	19	23	0	61	14	24	35	4	2	50.00%	11	2	81.82%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	50	34	44	13	25	11
12	Nashville Predators	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	1	0	0	0	33	12	15	6	0	41	10	10	13	3	0	0.00%	5	2	60.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	23	16	24	6	11	5
13	New York Islanders	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	5	9	14	0	0	1	2	2	0	26	9	8	9	0	42	7	4	20	1	0	0.00%	2	0	100.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	22	15	24	6	12	5
14	Pittsburgh Penguins	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	2	2	1	0	29	9	8	12	0	27	5	14	14	3	1	33.33%	7	0	100.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	23	15	22	7	13	6
15	San Jose Sharks	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	1	0	1	1	1	0	35	13	11	11	0	26	14	4	17	3	2	66.67%	2	1	50.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	25	18	22	6	12	5
16	Seattle Kraken	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	9	14	0	0	2	1	2	0	33	17	7	9	0	19	10	6	17	3	1	33.33%	3	1	66.67%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	26	18	20	7	13	6
17	Tampa Bay Lightning	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	2	2	0	0	31	14	11	6	0	27	4	6	24	6	1	16.67%	3	2	33.33%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	30	22	18	6	10	6
18	Toronto Maple Leafs	1	0	0	0	0	0	1	0	2	1	1	1	0	0	0	0	0	1	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	1	3	0	0	1	0	0	3	29	11	7	10	9	25	9	14	20	2	0	0.00%	7	1	85.71%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	25	17	26	8	12	6
19	Washington Capitals	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	3	6	0	0	0	1	1	1	30	7	11	10	5	33	10	8	26	4	1	25.00%	2	0	100.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	25	17	26	8	13	7
20	Winnipeg Jets	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	3	5	0	0	1	1	0	0	25	3	12	9	3	31	5	8	16	3	1	33.33%	4	0	100.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	25	18	27	8	12	5
	Total	22	9	8	0	1	1	2	1	71	66	5	12	6	3	0	1	0	1	1	41	31	10	10	3	5	0	0	1	1	0	30	35	-5	26	0.591	71	124	195	1	1	22	24	22	5	649	216	219	208	19	642	184	206	429	73	21	28.77%	87	14	83.91%	1	391	760	51.45%	388	770	50.39%	164	344	47.67%	551	387	511	159	277	138
	_Since Last GM Reset	22	9	8	0	1	1	2	1	71	66	5	12	6	3	0	1	0	1	1	41	31	10	10	3	5	0	0	1	1	0	30	35	-5	26	0.591	71	124	195	1	1	22	24	22	5	649	216	219	208	19	642	184	206	429	73	21	28.77%	87	14	83.91%	1	391	760	51.45%	388	770	50.39%	164	344	47.67%	551	387	511	159	277	138
	_Vs Conference	11	4	5	0	0	0	2	0	34	32	2	8	4	3	0	0	0	1	0	28	23	5	3	0	2	0	0	0	1	0	6	9	-3	12	0.545	34	56	90	0	1	10	11	11	4	297	100	92	102	14	325	82	119	220	32	9	28.13%	49	8	83.67%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	275	191	256	80	138	69
	_Vs Division	4	1	2	0	0	0	1	0	16	14	2	3	1	2	0	0	0	0	0	13	12	1	1	0	0	0	0	0	1	0	3	2	1	4	0.500	16	27	43	0	0	5	5	5	1	104	30	34	38	5	129	32	51	73	10	3	30.00%	16	0	100.00%	0	391	760	51.45%	388	770	50.39%	164	344	47.67%	96	66	96	30	52	26

			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
22	26	W1	71	124	195	649	642	184	206	429	1	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	9	8	1	1	2	1	71	66

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	6	3	1	0	1	1	41	31

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	3	5	0	1	1	0	30	35

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
5	5	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
73	21	28.77%	87	14	83.91%	1

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
216	219	208	19	22	24	22	5

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
391	760	51.45%	388	770	50.39%	164	344	47.67%

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
551	387	511	159	277	138

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
7	18	Columbus Blue Jackets	2	Minnesota Wild	3	L	X		Sommaire du match
9	34	Columbus Blue Jackets	5	Colorado Avalanche	3	W			Sommaire du match
12	51	Florida Panthers	3	Columbus Blue Jackets	4	W			Sommaire du match
14	67	Buffalo Sabres	0	Columbus Blue Jackets	3	W			Sommaire du match
16	83	Minnesota Wild	2	Columbus Blue Jackets	3	W	X		Sommaire du match
19	97	Toronto Maple Leafs	1	Columbus Blue Jackets	2	W	X	X	Sommaire du match
23	131	Columbus Blue Jackets	1	Nashville Predators	3	L			Sommaire du match
25	142	Edmonton Oilers	1	Columbus Blue Jackets	5	W			Sommaire du match
27	155	New York Islanders	6	Columbus Blue Jackets	5	L			Sommaire du match
29	171	Winnipeg Jets	3	Columbus Blue Jackets	2	L	X	X	Sommaire du match
30	177	Columbus Blue Jackets	3	Washington Capitals	2	W	X	X	Sommaire du match
33	204	Columbus Blue Jackets	3	San Jose Sharks	5	L			Sommaire du match
37	234	Columbus Blue Jackets	4	Los Angeles Kings	2	W			Sommaire du match
38	238	Columbus Blue Jackets	4	Anaheim Ducks	7	L			Sommaire du match
40	251	Columbus Blue Jackets	5	Seattle Kraken	3	W			Sommaire du match
43	267	Pittsburgh Penguins	1	Columbus Blue Jackets	5	W			Sommaire du match
44	275	Columbus Blue Jackets	1	Montreal Canadiens	3	L			Sommaire du match
46	288	Columbus Blue Jackets	2	Boston Bruins	4	L			Sommaire du match
49	311	Tampa Bay Lightning	3	Columbus Blue Jackets	4	W			Sommaire du match
51	328	Carolina Hurricanes	5	Columbus Blue Jackets	3	L			Sommaire du match
55	355	Montreal Canadiens	4	Columbus Blue Jackets	2	L			Sommaire du match
57	368	Calgary Flames	2	Columbus Blue Jackets	3	W			Sommaire du match
59	390	Columbus Blue Jackets	-	Chicago Blackhawks	-
61	404	Columbus Blue Jackets	-	Calgary Flames	-
63	418	Columbus Blue Jackets	-	Edmonton Oilers	-
64	422	Columbus Blue Jackets	-	Vancouver Canucks	-
66	439	Columbus Blue Jackets	-	Winnipeg Jets	-
68	449	Philadelphia Flyers	-	Columbus Blue Jackets	-
70	463	Washington Capitals	-	Columbus Blue Jackets	-
72	481	Anaheim Ducks	-	Columbus Blue Jackets	-
73	491	Columbus Blue Jackets	-	Carolina Hurricanes	-
75	498	Columbus Blue Jackets	-	Tampa Bay Lightning	-
77	514	New Jersey Devils	-	Columbus Blue Jackets	-
79	535	Columbus Blue Jackets	-	Philadelphia Flyers	-
81	551	Montreal Canadiens	-	Columbus Blue Jackets	-
85	561	Boston Bruins	-	Columbus Blue Jackets	-
86	570	Columbus Blue Jackets	-	Boston Bruins	-
89	594	Carolina Hurricanes	-	Columbus Blue Jackets	-
91	606	Detroit Red Wings	-	Columbus Blue Jackets	-
93	625	St. Louis Blues	-	Columbus Blue Jackets	-
96	645	Columbus Blue Jackets	-	Pittsburgh Penguins	-
98	660	Seattle Kraken	-	Columbus Blue Jackets	-
100	677	Columbus Blue Jackets	-	St. Louis Blues	-
103	698	Philadelphia Flyers	-	Columbus Blue Jackets	-
105	711	San Jose Sharks	-	Columbus Blue Jackets	-
107	728	Columbus Blue Jackets	-	New York Rangers	-
109	745	Columbus Blue Jackets	-	New York Islanders	-
111	757	Columbus Blue Jackets	-	Toronto Maple Leafs	-
112	764	Columbus Blue Jackets	-	Carolina Hurricanes	-
114	782	Los Angeles Kings	-	Columbus Blue Jackets	-
119	820	Columbus Blue Jackets	-	Vegas Golden Knights	-
120	825	Columbus Blue Jackets	-	Utah Hockey Club	-
122	840	Columbus Blue Jackets	-	Dallas Stars	-
124	846	Columbus Blue Jackets	-	Buffalo Sabres	-
126	865	Utah Hockey Club	-	Columbus Blue Jackets	-
128	882	New York Rangers	-	Columbus Blue Jackets	-
142	902	Chicago Blackhawks	-	Columbus Blue Jackets	-
145	924	Dallas Stars	-	Columbus Blue Jackets	-
147	935	Columbus Blue Jackets	-	Detroit Red Wings	-
149	948	Detroit Red Wings	-	Columbus Blue Jackets	-
152	976	Columbus Blue Jackets	-	Tampa Bay Lightning	-
154	990	Columbus Blue Jackets	-	Florida Panthers	-
157	1017	Columbus Blue Jackets	-	New York Rangers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
159	1026	Columbus Blue Jackets	-	New Jersey Devils	-
161	1045	Vegas Golden Knights	-	Columbus Blue Jackets	-
163	1062	New York Rangers	-	Columbus Blue Jackets	-
165	1075	New Jersey Devils	-	Columbus Blue Jackets	-
168	1093	Florida Panthers	-	Columbus Blue Jackets	-
169	1103	Columbus Blue Jackets	-	Pittsburgh Penguins	-
172	1126	Columbus Blue Jackets	-	New York Islanders	-
176	1155	Vancouver Canucks	-	Columbus Blue Jackets	-
177	1164	Columbus Blue Jackets	-	Ottawa Senators	-
180	1185	Nashville Predators	-	Columbus Blue Jackets	-
182	1199	Colorado Avalanche	-	Columbus Blue Jackets	-
184	1216	Columbus Blue Jackets	-	Toronto Maple Leafs	-
185	1224	Columbus Blue Jackets	-	Ottawa Senators	-
187	1239	Ottawa Senators	-	Columbus Blue Jackets	-
189	1253	Buffalo Sabres	-	Columbus Blue Jackets	-
191	1270	Washington Capitals	-	Columbus Blue Jackets	-
192	1281	Columbus Blue Jackets	-	Washington Capitals	-
194	1295	Columbus Blue Jackets	-	Philadelphia Flyers	-
196	1312	New York Islanders	-	Columbus Blue Jackets	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5100	3000	4500	1400
Prix des billets	100	60	35	20	200
Assistance	59,082	59,912	35,922	51,901	14,110
Attendance PCT	82.06%	97.90%	99.78%	96.11%	83.99%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
29	18411 - 92.05%	1,778,792$	21,345,506$	20000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
19,189,508$	64,432,500$	60,357,500$	4,200,000$0$	4,500,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
281,383$	17,135,715$	0$	21	1

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
51,584,973$	139	348,388$	48,425,932$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
49,105,932$	133,048,278$	137,773,261$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
60,747,952$	22,752,048$	83,500,000$	-952,048$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Juraj Slafkovsky (R)	AGE:20	PO:94	OV:0
Elias Pettersson	AGE:25	PO:84	OV:0
Dylan Holloway (R)	AGE:23	PO:83	OV:0
Leon Draisaitl	AGE:28	PO:72	OV:0
Alex Tuch	AGE:28	PO:69	OV:0
David Pastrnak	AGE:28	PO:67	OV:0
Phillip Di Giuseppe	AGE:30	PO:59	OV:0
Michael Pezzetta	AGE:26	PO:48	OV:0
Matt Nieto	AGE:31	PO:43	OV:0
Andrew Cogliano	AGE:37	PO:37	OV:0
Cole Smith	AGE:28	PO:36	OV:0
Alex Iafallo	AGE:30	PO:34	OV:0
Danick Martel	AGE:29	PO:11	OV:0

Kirby Dach	AGE:23	PO:89	OV:0
Cole Sillinger (R)	AGE:21	PO:85	OV:0
Elias Pettersson	AGE:25	PO:84	OV:0
Dylan Holloway (R)	AGE:23	PO:83	OV:0
Leon Draisaitl	AGE:28	PO:72	OV:0
Michael Pezzetta	AGE:26	PO:48	OV:0
Anze Kopitar	AGE:37	PO:38	OV:0
Andrew Cogliano	AGE:37	PO:37	OV:0
Alex Iafallo	AGE:30	PO:34	OV:0

Juraj Slafkovsky (R)	AGE:20	PO:94	OV:0
Kirby Dach	AGE:23	PO:89	OV:0
Alexander Holtz (R)	AGE:22	PO:87	OV:0
Vasily Podkolzin (R)	AGE:23	PO:85	OV:0
Elias Pettersson	AGE:25	PO:84	OV:0
Leon Draisaitl	AGE:28	PO:72	OV:0
Alex Tuch	AGE:28	PO:69	OV:0
David Pastrnak	AGE:28	PO:67	OV:0
Phillip Di Giuseppe	AGE:30	PO:59	OV:0
Matt Nieto	AGE:31	PO:43	OV:0
Andrew Cogliano	AGE:37	PO:37	OV:0
Cole Smith	AGE:28	PO:36	OV:0

Défense #1

Défense #2

Gardien

Jake Sanderson	AGE:22	PO:89	OV:0
Moritz Seider	AGE:23	PO:87	OV:0
Pavel Mintyukov (R)	AGE:20	PO:86	OV:0
Cale Makar	AGE:25	PO:85	OV:0
Dennis Cholowski (R)	AGE:26	PO:78	OV:0
Andreas Englund	AGE:28	PO:62	OV:0

Jordan Spence	AGE:23	PO:62	OV:0
Jake Walman	AGE:28	PO:53	OV:0
Alexander Petrovic	AGE:32	PO:47	OV:0
Ryan Suter	AGE:39	PO:34	OV:0
Chad Ruhwedel	AGE:34	PO:23	OV:0

Dennis Hildeby (R)	AGE:23	PO:58	OV:0
Jet Greaves (R)	AGE:23	PO:58	OV:0
Linus Ullmark	AGE:31	PO:54	OV:0
Scott Wedgewood	AGE:32	PO:50	OV:0
Cale Morris	AGE:28	PO:36	OV:0

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	Date de la Dernière Transaction
Adam Jiricek	Columbus Blue Jackets
Anton Burdasov	Columbus Blue Jackets
Artyom Shchuchinov	Columbus Blue Jackets
Beckett Sennecke	Columbus Blue Jackets
Carter Yakemchuk	Columbus Blue Jackets
Charlie Stramel	Columbus Blue Jackets
Chaz Lucius	Columbus Blue Jackets
Cutter Gauthier	Columbus Blue Jackets
Dmitri Simashev	Columbus Blue Jackets
Elias Pettersson	Columbus Blue Jackets
Evan Gardner	Columbus Blue Jackets
Filip Mesar	Columbus Blue Jackets
Igor Chernyshov	Columbus Blue Jackets
Jonathan Lekkerimaki	Columbus Blue Jackets
Kari Lehtonen	Columbus Blue Jackets
Konsta Helenius	Columbus Blue Jackets
Liam Ohgren	Columbus Blue Jackets
Linus Nassen	Columbus Blue Jackets
Marcus Sylvegard	Columbus Blue Jackets
Michael Brandsegg-Nygard	Columbus Blue Jackets
Mirco Mueller	Columbus Blue Jackets
Timur Kol	Columbus Blue Jackets	2024-10-15
Yegor Surin	Columbus Blue Jackets
Zach Bolduc	Columbus Blue Jackets

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22	CBJ		STL	DET	CBJ		CBJ
23	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
24	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
25	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
26	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
Choix au repêchage conditionnel

La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.

Columbus Blue Jackets Historique de transactions

[10/23/2024 8:16:34 PM] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Y:22-RND:3-NAS.
[10/23/2024 8:16:34 PM] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Y:22-RND:3-STL.
[10/15/2024 8:43:54 PM] - TRADE : From Columbus Blue Jackets to Minnesota Wild : Chandler Stephenson.
[10/15/2024 8:43:54 PM] - TRADE : From Minnesota Wild to Columbus Blue Jackets : Anze Kopitar, Timur Kol (P), Y:22-RND:5-CBJ, Y:22-RND:7-CBJ.
[9/14/2024 10:31:42 PM] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Joonas Korpisalo.
[9/14/2024 10:31:42 PM] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Dennis Hildeby, Y:22-RND:3-NAS, Y:22-RND:4-DET.
[9/12/2024 9:37:26 PM] - Brandon Davidson was released.
[9/12/2024 9:37:26 PM] - Columbus Blue Jackets paid $0 to release Brandon Davidson.
[9/12/2024 9:37:20 PM] - Luke Witkowski was released.
[9/12/2024 9:37:20 PM] - Columbus Blue Jackets paid $0 to release Luke Witkowski.
[9/12/2024 9:37:15 PM] - Zach Trotman was released.
[9/12/2024 9:37:15 PM] - Columbus Blue Jackets paid $0 to release Zach Trotman.
[9/12/2024 9:37:07 PM] - Jordan Szwarz was released.
[9/12/2024 9:37:07 PM] - Columbus Blue Jackets paid $0 to release Jordan Szwarz.
[9/12/2024 9:37:01 PM] - Drew Stafford was released.
[9/12/2024 9:37:01 PM] - Columbus Blue Jackets paid $0 to release Drew Stafford.
[9/12/2024 9:36:49 PM] - Tye McGinn was released.
[9/12/2024 9:36:49 PM] - Columbus Blue Jackets paid $0 to release Tye McGinn.
[9/12/2024 9:36:44 PM] - Brandon Pirri was released.
[9/12/2024 9:36:44 PM] - Columbus Blue Jackets paid $0 to release Brandon Pirri.
[9/12/2024 9:36:39 PM] - Nathan Gerbe was released.
[9/12/2024 9:36:39 PM] - Columbus Blue Jackets paid $0 to release Nathan Gerbe.
[9/12/2024 9:36:30 PM] - Paul Carey was released.
[9/12/2024 9:36:30 PM] - Columbus Blue Jackets paid $0 to release Paul Carey.
[8/27/2024 9:55:34 PM] - Cole Smith has been deleted from Columbus Blue Jackets.
[8/27/2024 9:55:31 PM] - Jet Greaves has been deleted from Columbus Blue Jackets.
[8/27/2024 9:43:18 PM] - Cole Smith was added to Columbus Blue Jackets.
[8/27/2024 9:43:05 PM] - Jet Greaves was added to Columbus Blue Jackets.
[8/20/2024 9:02:06 PM] - Dylan Holloway has been deleted from Columbus Blue Jackets.
[8/20/2024 9:01:59 PM] - Alexander Holtz has been deleted from Columbus Blue Jackets.
[8/20/2024 9:01:52 PM] - Juraj Slafkovsky has been deleted from Columbus Blue Jackets.
[8/20/2024 9:01:47 PM] - Pavel Mintyukov has been deleted from Columbus Blue Jackets.
[8/18/2024 1:14:24 PM] - Dylan Holloway was added to Columbus Blue Jackets.
[8/18/2024 1:14:18 PM] - Alexander Holtz was added to Columbus Blue Jackets.
[8/18/2024 1:14:11 PM] - Juraj Slafkovsky was added to Columbus Blue Jackets.
[8/18/2024 1:14:05 PM] - Pavel Mintyukov was added to Columbus Blue Jackets.
[8/14/2024 9:48:50 PM] - TRADE : From Columbus Blue Jackets to Dallas Stars : Y:21-RND:1-CBJ, Y:21-RND:3-PIT.
[8/14/2024 9:48:50 PM] - TRADE : From Dallas Stars to Columbus Blue Jackets : Y:21-RND:1-DAL.
[8/10/2024 10:26:38 PM] - Artyom Shchuchinov has been added to Columbus Blue Jackets.
[8/10/2024 10:26:20 PM] - Marcus Sylvegard has been added to Columbus Blue Jackets.
[8/10/2024 10:26:08 PM] - Evan Gardner has been added to Columbus Blue Jackets.
[8/10/2024 10:26:00 PM] - Cole Smith has been added to Columbus Blue Jackets.
[8/10/2024 10:25:27 PM] - Jet Greaves has been added to Columbus Blue Jackets.
[8/10/2024 10:25:02 PM] - Yegor Surin has been added to Columbus Blue Jackets.

[11/20/2024 9:42:18 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $952,048!
[11/20/2024 9:39:31 AM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[11/19/2024 7:37:15 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $952,048!
[11/18/2024 8:06:35 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $952,048!
[11/17/2024 9:46:07 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $952,048!
[11/16/2024 10:55:48 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $952,048!
[11/16/2024 10:55:40 AM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[11/15/2024 7:37:22 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $952,048!
[11/14/2024 8:19:22 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $952,048!
[11/14/2024 8:14:55 AM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client from IP:70.26.233.47 .
[11/14/2024 8:14:55 AM] Phillip Di Giuseppe of Columbus Blue Jackets was sent down to farm.
[11/13/2024 7:32:55 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $373,750!
[11/12/2024 7:19:04 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $373,750!
[11/12/2024 7:16:12 AM] Last 7 Days Pro Star : 1 - Cale Makar of Columbus Blue Jackets (3-7-10) / 2 - William Nylander of Anaheim Ducks (4-1-5) / 3 - Elias Lindholm of Toronto Maple Leafs (3-2-5)
[11/10/2024 9:14:48 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $373,750!
[11/10/2024 9:14:39 AM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[11/9/2024 10:25:29 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $373,750!
[11/9/2024 10:24:20 AM] Andrew Cogliano from Columbus Blue Jackets is back from Bruised Right Shoulder Injury.
[11/9/2024 10:24:20 AM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[11/8/2024 7:11:46 AM] Columbus Blue Jackets are expected to be under the minimum salary cap by $373,750!
[11/8/2024 7:10:39 AM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client from IP:96.22.162.7 .
[11/8/2024 7:10:38 AM] Jet Greaves of Columbus Blue Jackets was sent to farm.
[11/8/2024 7:10:38 AM] Dennis Hildeby of Columbus Blue Jackets was sent to pro.
[11/8/2024 7:10:38 AM] Jordan Spence of Columbus Blue Jackets was sent down to farm.
[11/7/2024 7:20:52 AM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[11/7/2024 7:20:51 AM] Game 306 - Unknown Player from Cleveland Monsters is injured (Back) and is out for 1 days.
[11/6/2024 7:20:45 AM] Game 275 - Andrew Cogliano from Columbus Blue Jackets is injured (Bruised Right Shoulder) and is out for 1 week.
[11/5/2024 7:14:40 AM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased. But, Columbus Blue Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[11/3/2024 7:09:03 AM] Pavel Mintyukov from Columbus Blue Jackets is back from Sprained Right Ankle Injury.
[11/3/2024 7:09:03 AM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[11/2/2024 8:03:36 AM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client from IP:70.26.233.47 .

Leon Draisaitl est dehors pour 4 jours à cause de Broken Bone (Left Leg) Injury.

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: 22 \| W: 12 \| L: 8 \| OTL: 2 \| P: 26 GF: 71 \| GA: 66 \| PP%: 28.77% \| PK%: 83.91% DG: Alexandre Fyfe \| Morale : 54 \| Moyenne d’équipe : N/A Prochains matchs #390 vs Chicago Blackhawks