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
	Columbus Blue Jackets 1-4-0, 2pts	4	FINAL	6	Philadelphia Flyers 11-8-0, 22pts

Team Stats
L3	Séquence	L1
1-2-0	Fiche domicile	4-4-0
0-2-0	Fiche visiteur	7-4-0
1-3-1	Derniers 10 matchs	5-5-0
3.20	Buts par match	3.16
3.80	Buts contre par match	3.21
30.00%	Pourcentage en avantage numérique	25.00%
70.00%	Pourcentage en désavantage numérique	73.77%

Philadelphia Flyers
11-8-0, 22pts

FINAL

Columbus Blue Jackets
1-4-0, 2pts

Team Stats
L1	Séquence	L3
4-4-0	Fiche domicile	1-2-0
7-4-0	Fiche visiteur	0-2-0
5-5-0	Derniers 10 matchs	1-3-1
3.16	Buts par match	3.20
3.21	Buts contre par match	3.80
25.00%	Pourcentage en avantage numérique	30.00%
73.77%	Pourcentage en désavantage numérique	70.00%

Meneurs d'équipe
	Buts Alex Tuch 3	Passes Cale Makar 6

	Points Cale Makar 8	Plus/Moins Ryan Suter 2

	Victoires Andrei Vasilevskiy 1	Pourcentage d’arrêts Andrei Vasilevskiy 0.883

Statistiques d’équipe
Buts pour 16 3.20 GFG	Tirs pour 162 32.40 Avg	Pourcentage en avantage numérique 30.0% 6 GF	Début de zone offensive 43.9%
Buts contre 19 3.80 GAA	Tirs contre 141 28.20 Avg	Pourcentage en désavantage numérique 70.0%% 3 GA	Début de la zone défensive 37.0%

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	19,921
	Billets de saison	8,000
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	22
	Limite contact	43 / 250
	Espoirs	15
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	82,500,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	6,014,032$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	130,021,638$
	Compte bancaire projeté	130,021,638$

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	TA	SP	Âge	Contrat	Salaire
1	David Pastrnak (A)		X	X		100.00	65	35	88	85	76	90	89	87	59	82	93	63	90	72	77	69	77	0		0	27	2	4,000,000$
2	Mark Stone			X		100.00	59	37	93	76	87	89	74	84	58	81	77	82	75	76	88	38	78	0		0	31	5	4,000,000$
3	Matt Nieto		X	X		100.00	64	37	93	67	72	83	89	65	59	63	62	76	64	78	72	56	86	0	N	0	30	4	2,750,000$
4	Chandler Stephenson	X	X			100.00	63	35	90	80	78	92	90	76	85	82	71	82	70	72	73	53	66	0		0	29	1	3,025,000$
5	Elias Pettersson (C)	X	X	X		100.00	61	35	95	85	76	92	90	86	74	84	83	84	83	67	77	85	76	0		0	24	4	7,800,000$
6	Alex Tuch		X	X		100.00	60	38	92	83	90	89	83	79	56	82	80	84	78	69	72	71	86	0		0	27	3	4,750,000$
7	J.T. Compher	X	X	X		100.00	56	40	88	74	72	91	89	73	80	74	71	85	69	71	70	63	78	0		0	28	3	3,500,000$
8	Alex Iafallo	X	X			100.00	57	35	94	73	75	88	86	72	58	73	71	84	70	73	74	35	86	0		0	29	2	2,450,000$
9	Kirby Dach	X		X		100.00	62	44	79	76	89	87	84	75	70	73	67	71	75	63	65	89	82	0		0	22	2	2,500,000$
10	Cole Sillinger (R)	X				100.00	71	41	85	68	78	83	89	66	75	63	62	64	67	62	63	87	48	0		0	20	1	925,000$
11	Ryan Suter				X	100.00	61	36	87	67	78	93	90	65	30	76	60	77	52	92	79	36	81	0		0	38	4	2,000,000$
12	Charlie McAvoy				X	100.00	76	42	74	79	81	94	87	76	30	87	69	83	58	68	70	80	80	0		0	25	3	7,300,000$
13	Jake Walman (R)				X	100.00	66	39	80	74	81	90	81	71	30	71	74	89	58	68	71	98	68	0		0	27	3	750,000$
14	Ilya Lyubushkin				X	100.00	81	39	80	65	80	89	87	63	30	72	55	83	49	70	72	36	49	0		0	29	2	2,000,000$
15	Moritz Seider				X	100.00	84	37	86	77	87	94	90	74	30	82	62	86	54	62	65	88	80	0		0	22	1	925,000$
16	Cale Makar				X	100.00	68	34	87	85	70	95	86	80	30	92	83	84	63	66	71	86	77	0		0	24	4	9,000,000$
Rayé
1	Andrew Cogliano	X	X	X		100.00	66	33	87	71	66	81	89	64	62	63	60	83	62	90	76	39	72	0		0	36	3	1,000,000$
2	Roope Hintz	X	X			100.00	62	37	88	87	86	88	89	84	83	79	86	76	82	69	73	61	74	0		0	26	4	4,450,000$
3	Jake Sanderson (R)				X	100.00	57	36	95	71	82	92	74	68	30	72	57	84	52	60	61	88	79	0		0	21	2	925,000$
Équipe Mineure
1	Drew Stafford		X	X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	37	1	750,000$
2	Nathan Gerbe	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	36	1	750,000$
3	Brandon Pirri	X	X	X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	33	1	775,000$
4	Tye McGinn		X			100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	33	1	750,000$
5	Jordan Szwarz			X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	32	1	750,000$
6	Paul Carey	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	35	1	750,000$
7	Danick Martel		X			100.00	57	39	71	58	66	90	78	57	61	59	57	56	60	69	71	36	50	0		0	28	3	950,000$
8	Austin Czarnik	X		X		100.00	61	35	94	65	63	80	84	67	71	66	63	62	64	71	73	34	44	0		0	30	2	1,500,000$
9	Phillip Di Giuseppe		X			100.00	74	39	77	67	73	88	80	69	66	67	68	70	69	71	72	60	37	0		0	29	1	700,000$
10	Michael Pezzetta		X			100.00	90	78	64	65	79	73	83	64	57	61	62	56	60	65	67	47	48	0		0	25	1	750,000$
11	Vasily Podkolzin (R)			X		100.00	67	38	90	68	75	80	88	66	63	62	64	61	67	62	64	86	48	0		0	22	1	925,000$
12	Alexander Petrovic				X	100.00	81	71	72	59	90	68	86	58	30	57	55	61	47	71	73	59	50	0		0	31	3	900,000$
13	Chad Ruhwedel				X	100.00	80	34	92	63	71	86	83	59	30	67	57	79	49	75	73	26	46	0		0	33	1	700,000$
14	Andreas Englund (R)				X	100.00	80	53	62	60	81	78	82	59	30	61	58	64	49	67	69	64	35	0		0	27	2	700,000$
15	Dennis Cholowski (R)				X	100.00	69	38	90	67	82	83	81	65	30	68	58	61	50	65	67	79	50	0		0	25	2	750,000$
16	Gustav Lindstrom				X	100.00	65	36	87	65	78	86	78	63	30	72	54	66	49	65	67	72	35	0		0	24	3	850,000$
17	Jordan Spence (R)				X	100.00	63	37	85	66	67	90	85	64	30	69	60	62	51	62	64	65	15	0		0	22	2	750,000$
18	Brandon Davidson				X	100.00	73	42	71	54	82	65	70	53	30	55	54	56	46	72	74	30	50	0		0	32	1	750,000$
19	Zach Trotman				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0		0	33	1	750,000$
20	Luke Witkowski				X	100.00	71	41	67	56	82	71	76	54	30	52	50	56	45	73	75	29	50	0		0	35	1	750,000$

	MOYENNE D’ÉQUIPE					100.00	65	37	87	76	79	89	86	74	54	76	71	80	67	71	72	66	75	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	Andrei Vasilevskiy	100.00	83	98	90	92	86	93	94	94	94	80	95	78	83	99	80	0	0	29	1	4,000,000$
2	Joonas Korpisalo	100.00	72	79	84	82	75	79	81	81	82	66	83	72	83	99	73	0	0	29	3	1,300,000$
Rayé
Équipe Mineure
1	Scott Wedgewood	100.00	71	89	75	81	74	78	80	80	81	67	81	72	85	99	24	0	0	31	2	700,000$
2	Cale Morris (R)	100.00	52	85	57	75	53	55	55	56	56	44	61	68	77	37	46	0	0	27	2	750,000$

	MOYENNE D’ÉQUIPE	100.00	78	89	87	87	81	86	88	88	88	73	89	75	83	99	77	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Cassidy	85	91	88	82	87	81	60	CAN	58	3	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Cale Makar	Columbus Blue Jackets	D	5	2	6	8	-4	0	3	6	15	2	5	13.33%	6	127	25.48	1	2	3	6	17	10	0	0	0%	0	1.26	0	1	0
2	Elias Pettersson	Columbus Blue Jackets	C/LW/RW	5	2	3	5	0	0	5	9	15	8	19	13.33%	0	110	22.02	0	1	1	2	18	0	0	0	50.00%	8	0.91	0	0	1
3	Alex Tuch	Columbus Blue Jackets	LW/RW	5	3	2	5	-3	2	2	5	21	5	14	14.29%	0	99	19.88	2	2	4	2	14	0	0	0	50.00%	6	1.01	0	1	0
4	Roope Hintz	Columbus Blue Jackets	C/LW	5	1	4	5	-1	2	5	18	16	8	12	6.25%	0	91	18.28	1	1	2	1	15	0	0	0	47.06%	119	1.09	1	0	0
5	Charlie McAvoy	Columbus Blue Jackets	D	5	0	4	4	-5	2	16	7	9	2	6	0%	7	111	22.36	0	3	3	4	17	1	0	0	0%	0	0.72	0	0	0
6	David Pastrnak	Columbus Blue Jackets	LW/RW	5	1	2	3	-2	0	13	8	18	6	11	5.56%	0	108	21.65	0	1	1	3	15	0	0	0	62.50%	8	0.55	0	0	0
7	Chandler Stephenson	Columbus Blue Jackets	C/LW	5	3	0	3	-4	0	6	9	13	3	8	23.08%	1	88	17.74	1	0	1	2	15	1	0	0	47.32%	112	0.68	0	1	0
8	Ryan Suter	Columbus Blue Jackets	D	5	0	2	2	2	0	1	3	6	2	4	0%	6	87	17.46	0	0	0	4	15	6	0	0	0%	0	0.46	0	0	0
9	Mark Stone	Columbus Blue Jackets	RW	5	1	1	2	-4	0	5	4	10	8	6	10.00%	0	90	18.00	1	1	2	1	18	0	0	0	44.44%	9	0.44	0	0	0
10	J.T. Compher	Columbus Blue Jackets	C/LW/RW	5	1	1	2	-1	0	4	13	8	3	3	12.50%	0	85	17.20	0	0	0	0	0	11	0	0	48.03%	127	0.47	0	0	0
11	Alex Iafallo	Columbus Blue Jackets	C/LW	5	0	2	2	-3	2	3	2	9	2	6	0%	0	65	13.07	0	0	0	0	0	10	0	0	25.00%	4	0.61	0	0	0
12	Kirby Dach	Columbus Blue Jackets	C/RW	5	1	1	2	0	0	4	1	7	3	7	14.29%	2	67	13.59	0	0	0	0	0	0	0	1	60.00%	5	0.59	0	0	0
13	Jake Walman	Columbus Blue Jackets	D	5	1	0	1	1	6	7	4	4	3	5	25.00%	5	95	19.07	0	0	0	0	1	5	1	0	0%	0	0.21	0	0	0
14	Ilya Lyubushkin	Columbus Blue Jackets	D	5	0	1	1	2	4	9	0	2	0	0	0%	5	66	13.38	0	0	0	0	0	2	0	0	0%	0	0.30	0	0	0
15	Moritz Seider	Columbus Blue Jackets	D	5	0	1	1	-8	4	14	3	7	1	4	0%	7	112	22.50	0	1	1	6	15	5	0	0	0%	0	0.18	0	0	0
16	Andrew Cogliano	Columbus Blue Jackets	C/LW/RW	5	0	0	0	0	0	2	1	2	0	3	0%	0	34	6.82	0	0	0	0	1	4	0	0	50.00%	14	0	0	0	0
17	Matt Nieto	Columbus Blue Jackets	LW/RW	5	0	0	0	0	0	2	0	0	0	2	0%	0	23	4.79	0	0	0	0	1	3	0	0	50.00%	2	0	0	0	0
18	Cole Sillinger	Columbus Blue Jackets	C	5	0	0	0	0	0	2	1	0	0	0	0%	0	19	3.83	0	0	0	0	0	0	0	0	61.90%	21	0	0	0	0
Statistiques d’équipe totales ou en moyenne				90	16	30	46	-30	22	103	94	162	56	115	9.88%	39	1485	16.51	6	12	18	31	167	63	1	1	48.51%	435	0.62	1	3	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	EG	PS %	ST	BG
1	Andrei Vasilevskiy	Columbus Blue Jackets	5	1	3	1	0.883	3.24	259	14	120	1	0	4	1
2	Joonas Korpisalo	Columbus Blue Jackets	1	0	0	0	0.800	6.15	39	4	20	0	0	1	4
Statistiques d’équipe totales ou en moyenne			6	1	3	1	0.871	3.61	299	18	140	1		5	5

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Type	Salaire actuel	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10	Lien
Alex Iafallo	Columbus Blue Jackets	C/LW	29	12/21/1993	No	200 Lbs	6 ft0	No	No	N/A		No	No	2		Pro & Farm	2,450,000$	2,450,000$	0$	No	2,450,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Alex Tuch	Columbus Blue Jackets	LW/RW	27	5/10/1996	No	219 Lbs	6 ft4	No	No	N/A		No	No	3		Pro & Farm	4,750,000$	4,750,000$	0$	No	4,750,000$	4,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Andrei Vasilevskiy	Columbus Blue Jackets	G	29	7/25/1994	No	220 Lbs	6 ft4	No	No	N/A		No	No	1		Pro & Farm	4,000,000$	4,000,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Andrew Cogliano	Columbus Blue Jackets	C/LW/RW	36	7/28/1987	No	179 Lbs	5 ft10	No	No	N/A		No	No	3		Pro Only	1,000,000$	1,000,000$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Cale Makar	Columbus Blue Jackets	D	24	10/30/1998	No	187 Lbs	5 ft11	No	No	N/A		No	No	4		Pro & Farm	9,000,000$	9,000,000$	0$	No	9,000,000$	9,000,000$	9,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Chandler Stephenson	Columbus Blue Jackets	C/LW	29	4/22/1994	No	209 Lbs	6 ft0	No	No	N/A		No	No	1		Pro & Farm	3,025,000$	3,025,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Charlie McAvoy	Columbus Blue Jackets	D	25	12/21/1997	No	209 Lbs	6 ft1	No	No	N/A		No	No	3		Pro & Farm	7,300,000$	7,300,000$	0$	No	7,300,000$	7,300,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Cole Sillinger	Columbus Blue Jackets	C	20	5/16/2003	Yes	201 Lbs	6 ft1	No	No	N/A		No	No	1		Pro & Farm	925,000$	925,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
David Pastrnak	Columbus Blue Jackets	LW/RW	27	5/25/1996	No	195 Lbs	6 ft1	No	No	N/A		No	No	2		Pro & Farm	4,000,000$	4,000,000$	0$	No	4,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Elias Pettersson	Columbus Blue Jackets	C/LW/RW	24	11/12/1998	No	176 Lbs	6 ft2	No	No	N/A		No	No	4		Pro & Farm	7,800,000$	7,800,000$	0$	No	7,800,000$	7,800,000$	7,800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Ilya Lyubushkin	Columbus Blue Jackets	D	29	4/6/1994	No	200 Lbs	6 ft2	No	No	Trade	1/29/2024	No	No	2	1/29/2024	Pro & Farm	2,000,000$	2,000,000$	0$	No	2,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
J.T. Compher	Columbus Blue Jackets	C/LW/RW	28	4/8/1995	No	190 Lbs	6 ft0	No	No	N/A		No	No	3		Pro & Farm	3,500,000$	3,500,000$	0$	No	3,500,000$	3,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Jake Sanderson	Columbus Blue Jackets	D	21	7/8/2002	Yes	195 Lbs	6 ft3	No	No	N/A		No	No	2		Pro & Farm	925,000$	925,000$	0$	No	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Jake Walman	Columbus Blue Jackets	D	27	2/20/1996	Yes	215 Lbs	6 ft2	No	No	N/A		No	No	3		Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Joonas Korpisalo	Columbus Blue Jackets	G	29	4/28/1994	No	193 Lbs	6 ft3	No	No	N/A		No	No	3		Pro & Farm	1,300,000$	1,300,000$	0$	No	1,300,000$	1,300,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Kirby Dach	Columbus Blue Jackets	C/RW	22	1/21/2001	No	212 Lbs	6 ft4	No	No	N/A		No	No	2		Pro & Farm	2,500,000$	2,500,000$	0$	No	2,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Mark Stone	Columbus Blue Jackets	RW	31	5/13/1992	No	217 Lbs	6 ft3	No	No	N/A		No	No	5		Pro & Farm	4,000,000$	4,000,000$	0$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien
Matt Nieto	Columbus Blue Jackets	LW/RW	30	11/5/1992	No	187 Lbs	5 ft11	Yes	No	N/A		No	No	4		Pro & Farm	2,750,000$	2,750,000$	0$	No	2,750,000$	2,750,000$	2,750,000$	-	-	-	-	-	-	Yes	Yes	Yes	-	-	-	-	-	-	Lien
Moritz Seider	Columbus Blue Jackets	D	22	4/6/2001	No	204 Lbs	6 ft4	No	No	N/A		No	No	1		Pro & Farm	925,000$	925,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Roope Hintz	Columbus Blue Jackets	C/LW	26	11/17/1996	No	215 Lbs	6 ft3	No	No	N/A		No	No	4		Pro & Farm	4,450,000$	4,450,000$	0$	No	4,450,000$	4,450,000$	4,450,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Ryan Suter	Columbus Blue Jackets	D	38	7/28/1985	No	205 Lbs	6 ft1	No	No	N/A		No	No	4		Pro & Farm	2,000,000$	2,000,000$	0$	No	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	27.29	201 Lbs	6 ft2	2.71	3,302,381$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
69,350,000$	64,475,000$	52,600,000$	34,000,000$	8,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Elias Pettersson		David Pastrnak	40	0	1	4
2	Alex Tuch	J.T. Compher	Mark Stone	36	0	2	3
3	Alex Iafallo	Chandler Stephenson	Kirby Dach	18	0	3	2
4	Elias Pettersson		David Pastrnak	6	0	0	5

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

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Elias Pettersson		David Pastrnak	75	0	0	5
2	Alex Tuch	Chandler Stephenson	Mark Stone	25	0	1	4

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

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	J.T. Compher	Alex Iafallo	60	1	4	0
2		Matt Nieto	40	1	4	0

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

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	J.T. Compher	55	1	4	0	Cale Makar	Moritz Seider	55	1	4	0
2		45	1	4	0	Jake Walman	Ryan Suter	45	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Elias Pettersson	60	0	1	4
2	J.T. Compher	David Pastrnak	40	0	1	4

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cale Makar	Charlie McAvoy	60	0	3	2
2	Moritz Seider	Ryan Suter	40	0	3	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Elias Pettersson		David Pastrnak	Cale Makar	Charlie McAvoy

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex Iafallo	J.T. Compher		Moritz Seider	Jake Walman

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
David Pastrnak, Elias Pettersson,	Mark Stone, Elias Pettersson	Chandler Stephenson

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Charlie McAvoy, Moritz Seider, Cale Makar	Jake Walman	Jake Walman, Cale Makar

Tirs de pénalité
Elias Pettersson, David Pastrnak, , Mark Stone, Alex Tuch

Gardien
#1 : Andrei Vasilevskiy, #2 : Joonas Korpisalo

Lignes d’attaque personnalisées en prolongation
Elias Pettersson, David Pastrnak, , Mark Stone, Alex Tuch, Chandler Stephenson, Chandler Stephenson, J.T. Compher, Kirby Dach, Alex Iafallo, Matt Nieto

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

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	Philadelphia Flyers	5	1	4	0	0	0	0	0	16	19	-3	3	1	2	0	0	0	0	0	10	10	0	2	0	2	0	0	0	0	0	6	9	-3	2	0.200	16	30	46	1	0	6	2	8	0	162	51	60	51	0	141	39	22	103	20	6	30.00%	10	3	70.00%	0	93	191	48.69%	74	161	45.96%	44	83	53.01%	125	89	112	33	63	32
	Total	5	1	4	0	0	0	0	0	16	19	-3	3	1	2	0	0	0	0	0	10	10	0	2	0	2	0	0	0	0	0	6	9	-3	2	0.200	16	30	46	1	0	6	2	8	0	162	51	60	51	0	141	39	22	103	20	6	30.00%	10	3	70.00%	0	93	191	48.69%	74	161	45.96%	44	83	53.01%	125	89	112	33	63	32
	_Since Last GM Reset	5	1	4	0	0	0	0	0	16	19	-3	3	1	2	0	0	0	0	0	10	10	0	2	0	2	0	0	0	0	0	6	9	-3	2	0.200	16	30	46	1	0	6	2	8	0	162	51	60	51	0	141	39	22	103	20	6	30.00%	10	3	70.00%	0	93	191	48.69%	74	161	45.96%	44	83	53.01%	125	89	112	33	63	32
	_Vs Conference	5	1	4	0	0	0	0	0	16	19	-3	3	1	2	0	0	0	0	0	10	10	0	2	0	2	0	0	0	0	0	6	9	-3	2	0.200	16	30	46	1	0	6	2	8	0	162	51	60	51	0	141	39	22	103	20	6	30.00%	10	3	70.00%	0	93	191	48.69%	74	161	45.96%	44	83	53.01%	125	89	112	33	63	32
	_Vs Division	5	1	4	0	0	0	0	0	16	19	-3	3	1	2	0	0	0	0	0	10	10	0	2	0	2	0	0	0	0	0	6	9	-3	2	0.200	16	30	46	1	0	6	2	8	0	162	51	60	51	0	141	39	22	103	20	6	30.00%	10	3	70.00%	0	93	191	48.69%	74	161	45.96%	44	83	53.01%	125	89	112	33	63	32

			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
5	2	L3	16	30	46	162	141	39	22	103	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	16	19

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	10	10

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	6	9

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	3	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
20	6	30.00%	10	3	70.00%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
51	60	51	0	6	2	8	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
93	191	48.69%	74	161	45.96%	44	83	53.01%

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
125	89	112	33	63	32

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
1	3	Philadelphia Flyers	3	Columbus Blue Jackets	5	BW		Sommaire du match
3	11	Philadelphia Flyers	5	Columbus Blue Jackets	4	BL	X	Sommaire du match
5	19	Columbus Blue Jackets	2	Philadelphia Flyers	3	AL		Sommaire du match
7	27	Columbus Blue Jackets	4	Philadelphia Flyers	6	AL		Sommaire du match
9	35	Philadelphia Flyers	2	Columbus Blue Jackets	1	BL		Sommaire du match

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	17,762	15,300	9,000	13,500	4,200
Attendance PCT	98.68%	100.00%	100.00%	100.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
38	19921 - 99.60%	2,004,677$	6,014,032$	20000	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$	69,350,000$	71,150,000$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	21	0

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

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	130,021,638$	130,021,638$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	82,500,000$	82,500,000$	-61,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Elias Pettersson	AGE:24	PO:85	OV:0
Alex Tuch	AGE:27	PO:71	OV:0
David Pastrnak	AGE:27	PO:69	OV:0
J.T. Compher	AGE:28	PO:63	OV:0
Roope Hintz	AGE:26	PO:61	OV:0
Phillip Di Giuseppe	AGE:29	PO:60	OV:0
Matt Nieto	AGE:30	PO:56	OV:0
Chandler Stephenson	AGE:29	PO:53	OV:0
Michael Pezzetta	AGE:25	PO:47	OV:0
Andrew Cogliano	AGE:36	PO:39	OV:0
Danick Martel	AGE:28	PO:36	OV:0
Alex Iafallo	AGE:29	PO:35	OV:0
Drew Stafford	AGE:37	PO:11	OV:0
Brandon Pirri	AGE:33	PO:11	OV:0
Tye McGinn	AGE:33	PO:11	OV:0

Kirby Dach	AGE:22	PO:89	OV:0
Cole Sillinger (R)	AGE:20	PO:87	OV:0
Elias Pettersson	AGE:24	PO:85	OV:0
J.T. Compher	AGE:28	PO:63	OV:0
Roope Hintz	AGE:26	PO:61	OV:0
Chandler Stephenson	AGE:29	PO:53	OV:0
Andrew Cogliano	AGE:36	PO:39	OV:0
Alex Iafallo	AGE:29	PO:35	OV:0
Austin Czarnik	AGE:30	PO:34	OV:0
Nathan Gerbe	AGE:36	PO:11	OV:0
Brandon Pirri	AGE:33	PO:11	OV:0
Paul Carey	AGE:35	PO:11	OV:0

Kirby Dach	AGE:22	PO:89	OV:0
Vasily Podkolzin (R)	AGE:22	PO:86	OV:0
Elias Pettersson	AGE:24	PO:85	OV:0
Alex Tuch	AGE:27	PO:71	OV:0
David Pastrnak	AGE:27	PO:69	OV:0
J.T. Compher	AGE:28	PO:63	OV:0
Matt Nieto	AGE:30	PO:56	OV:0
Andrew Cogliano	AGE:36	PO:39	OV:0
Mark Stone	AGE:31	PO:38	OV:0
Austin Czarnik	AGE:30	PO:34	OV:0
Drew Stafford	AGE:37	PO:11	OV:0
Brandon Pirri	AGE:33	PO:11	OV:0
Jordan Szwarz	AGE:32	PO:11	OV:0

Défense #1

Défense #2

Gardien

Jake Walman (R)	AGE:27	PO:98	OV:0
Moritz Seider	AGE:22	PO:88	OV:0
Jake Sanderson (R)	AGE:21	PO:88	OV:0
Cale Makar	AGE:24	PO:86	OV:0
Charlie McAvoy	AGE:25	PO:80	OV:0
Dennis Cholowski (R)	AGE:25	PO:79	OV:0
Gustav Lindstrom	AGE:24	PO:72	OV:0
Jordan Spence (R)	AGE:22	PO:65	OV:0

Andreas Englund (R)	AGE:27	PO:64	OV:0
Alexander Petrovic	AGE:31	PO:59	OV:0
Ryan Suter	AGE:38	PO:36	OV:0
Ilya Lyubushkin	AGE:29	PO:36	OV:0
Brandon Davidson	AGE:32	PO:30	OV:0
Luke Witkowski	AGE:35	PO:29	OV:0
Chad Ruhwedel	AGE:33	PO:26	OV:0
Zach Trotman	AGE:33	PO:11	OV:0

Andrei Vasilevskiy	AGE:29	PO:99	OV:0
Scott Wedgewood	AGE:31	PO:99	OV:0
Joonas Korpisalo	AGE:29	PO:99	OV:0
Cale Morris (R)	AGE:27	PO:37	OV:0

Espoirs

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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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Date de la Dernière Transaction	Lien
Alexander Holtz	Columbus Blue Jackets	0	0
Anton Burdasov	Columbus Blue Jackets	0	0
Charlie Stramel	Columbus Blue Jackets	0	0
Chaz Lucius	Columbus Blue Jackets	0	0
Danila Yurov	Columbus Blue Jackets	0	0
Dmitri Simashev	Columbus Blue Jackets	0	0
Dylan Holloway	Columbus Blue Jackets	0	0
Filip Mesar	Columbus Blue Jackets	0	0
Jonathan Lekkerimaki	Columbus Blue Jackets	0	0
Juraj Slafkovsky	Columbus Blue Jackets	0	0
Kari Lehtonen	Columbus Blue Jackets	0	0
Liam Ohgren	Columbus Blue Jackets	0	0
Linus Nassen	Columbus Blue Jackets	0	0
Mirco Mueller	Columbus Blue Jackets	0	0
Pavel Mintyukov	Columbus Blue Jackets	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
21	SJS CBJ
22	CBJ	CBJ	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
Choix au repêchage conditionnel	MTL - Y:21 - R:1 /

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 ou du STHS.

Columbus Blue Jackets Historique de transactions

[5/19/2024 5:56:10 PM] - Cleveland Monstersare the Farm Playoffs Champions for year 20!
[4/13/2024 8:27:59 PM] - Columbus Blue Jackets was eliminated at round 1 of year 20.
[2/19/2024 9:26:25 PM] - TRADE : From Columbus Blue Jackets to Toronto Maple Leafs : Tomas Hertl.
[2/19/2024 9:26:25 PM] - TRADE : From Toronto Maple Leafs to Columbus Blue Jackets : Jordan Spence, Y:21-RND:1-SJS.
[2/19/2024 8:55:52 PM] - TRADE : From Columbus Blue Jackets to Detroit Red Wings : Anthony Cirelli.
[2/19/2024 8:55:52 PM] - TRADE : From Detroit Red Wings to Columbus Blue Jackets : Tomas Hertl.
[1/29/2024 8:35:10 PM] - TRADE : From Columbus Blue Jackets to Edmonton Oilers : Jan Mysak (P).
[1/29/2024 8:35:10 PM] - TRADE : From Edmonton Oilers to Columbus Blue Jackets : Ilya Lyubushkin.
[1/28/2024 8:20:37 PM] - TRADE : From Edmonton Oilers to Columbus Blue Jackets : Jan Mysak (P).
[1/28/2024 8:20:37 PM] - TRADE : From Columbus Blue Jackets to Edmonton Oilers : Ilya Lyubushkin.
[1/28/2024 8:17:54 PM] - TRADE : From Columbus Blue Jackets to Edmonton Oilers : Jan Mysak (P).
[1/28/2024 8:17:54 PM] - TRADE : From Edmonton Oilers to Columbus Blue Jackets : Ilya Lyubushkin.
[12/13/2023 8:12:09 PM] - TRADE : From Columbus Blue Jackets to Minnesota Wild : Dylan Strome, Nikita Alexandrov, Elias Pettersson (P).
[12/13/2023 8:12:09 PM] - TRADE : From Minnesota Wild to Columbus Blue Jackets : J.T. Compher, Jonathan Lekkerimaki (P).
[11/24/2023 8:19:17 PM] - TRADE : From Columbus Blue Jackets to Minnesota Wild : Y:22-RND:5-CBJ, Y:22-RND:7-CBJ.
[11/24/2023 8:19:17 PM] - TRADE : From Minnesota Wild to Columbus Blue Jackets : Gustav Lindstrom, Alexander Petrovic.
[11/16/2023 8:41:47 PM] - TRADE : From Columbus Blue Jackets to Carolina Hurricanes : Y:22-RND:4-CBJ.
[11/16/2023 8:41:47 PM] - TRADE : From Carolina Hurricanes to Columbus Blue Jackets : Scott Wedgewood.
[11/5/2023 9:30:11 PM] - TRADE : From Columbus Blue Jackets to Colorado Avalanche : Calen Addison, Nicholas Robertson, Jordie Benn, Y:21-RND:2-BOS, Y:21-RND:5-CAR, Y:21-RND:7-CBJ.
[11/5/2023 9:30:11 PM] - TRADE : From Colorado Avalanche to Columbus Blue Jackets : Mark Stone, Jake Walman.
[11/5/2023 9:28:56 PM] - TRADE : From Columbus Blue Jackets to Seattle Kraken : Y:21-RND:7-LAK.
[11/5/2023 9:28:56 PM] - TRADE : From Seattle Kraken to Columbus Blue Jackets : Jordie Benn.
[10/4/2023 5:33:43 PM] - TRADE : From Columbus Blue Jackets to Boston Bruins : Christian Dvorak, Dante Fabbro.
[10/4/2023 5:33:43 PM] - TRADE : From Boston Bruins to Columbus Blue Jackets : Nicholas Robertson, Y:21-RND:2-BOS.
[10/3/2023 3:42:40 PM] - Joe Veleno has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:36 PM] - Michael Pezzetta has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:30 PM] - Jake Sanderson has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:25 PM] - Cale Morris has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:20 PM] - Vasili Podkolzin has been deleted from Columbus Blue Jackets.
[10/3/2023 3:42:15 PM] - Cole Sillinger has been deleted from Columbus Blue Jackets.

[5/19/2024 5:56:10 PM] Cleveland Monsters are the Farm Playoffs Champions!
[5/19/2024 5:56:06 PM] Last 7 Days Farm Star : 1 - Phillip Di Giuseppe of Cleveland Monsters (7-3-10) / 2 - Scott Wedgewood of Cleveland Monsters (0.937) / 3 - Sam Montembeault of Utica Comets (0.937)
[5/19/2024 2:43:56 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/18/2024 7:40:18 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/18/2024 12:10:20 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/17/2024 5:27:08 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/16/2024 5:41:39 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/15/2024 5:54:56 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/13/2024 8:00:12 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/11/2024 8:02:03 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/9/2024 8:04:54 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/8/2024 8:07:02 PM] Last 7 Days Farm Star : 1 - Sam Montembeault of Utica Comets (0.904) / 2 - Scott Wedgewood of Cleveland Monsters (0.909) / 3 - Pavel Dorofeyev of Chicago Wolves (1-2-3)
[5/7/2024 8:03:52 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/5/2024 8:19:54 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/3/2024 8:21:22 PM] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[5/2/2024 9:17:57 AM] Last 7 Days Farm Star : 1 - Scott Wedgewood of Cleveland Monsters (0.949) / 2 - Jonatan Berggren of Ontario Reign (2-0-2) / 3 - Justus Annunen of Ontario Reign (0.906)
[4/16/2024 8:14:57 PM] Roope Hintz from Columbus Blue Jackets is back from Sore Left Knee Injury.
[4/16/2024 8:14:57 PM] Andrew Cogliano from Columbus Blue Jackets is back from Left Leg Injury.
[4/14/2024 8:04:07 PM] Jake Sanderson from Columbus Blue Jackets is back from Sprained Right Knee Injury.
[4/13/2024 8:27:59 PM] Game 35 - Andrew Cogliano from Columbus Blue Jackets is injured (Left Leg) and is out for 6 days.
[4/13/2024 8:27:59 PM] Game 35 - Roope Hintz from Columbus Blue Jackets is injured (Sore Left Knee) and is out for 1 week.
[4/13/2024 8:27:54 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/13/2024 8:27:47 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/13/2024 8:26:38 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/12/2024 8:26:25 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:76.71.184.78 .
[4/12/2024 8:26:13 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:76.71.184.78 .
[4/11/2024 8:11:28 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:76.66.191.202 .
[4/11/2024 8:11:21 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:76.66.191.202 .
[4/11/2024 8:07:52 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:76.66.191.202 .
[4/9/2024 8:26:03 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:198.103.109.141 .
[4/9/2024 8:25:55 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:198.103.109.141 .
[4/9/2024 8:25:27 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:198.103.109.141 .
[4/5/2024 8:04:02 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/5/2024 8:03:04 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/5/2024 8:00:32 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/5/2024 8:00:08 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/5/2024 7:59:53 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/5/2024 7:57:57 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/5/2024 7:48:42 PM] Cleveland Monsters roster errors : Too many Players available in Farm Team! 18 Dressed. Maximum is 17. Some errors will be automatically fixed.
[4/5/2024 7:44:10 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/5/2024 7:43:10 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/5/2024 7:41:22 PM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:23.233.174.146 .
[4/5/2024 7:41:22 PM] Vasily Podkolzin of Columbus Blue Jackets was sent down to farm.

Pas de blessure ou de suspension.

Columbus Blue Jackets Leaders statistiques des joueurs (saison régulière)

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

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

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

Columbus Blue Jackets Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Columbus Blue Jackets Leaders statistiques des joueurs (séries éliminatoires)

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

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

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

	Columbus Blue Jackets
	GP: 5 \| W: 1 \| L: 4 GF: 16 \| GA: 19 \| PP%: 30.00% \| PK%: 70.00% DG: Alexandre Fyfe \| Morale : 99 \| Moyenne d’équipe : N/A