Ligue de Hockey Simulé du Saguenay

Monsters
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière Transactions
Blessure/Suspension
Client Web pour Formation
Client Web pour Lignes

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
1	Tyler Seguin	X				100.00	82	29	90	78	93	79	87	83	86	78	91	70	80	65	51	51	43	80	1
2	Artemi Panarin		X			100.00	83	32	83	81	82	86	82	85	82	81	78	72	84	79	74	42	43	79	1
3	Cody Hodgson	X				100.00	79	30	89	80	85	79	80	78	79	76	88	65	78	62	51	41	43	77	1
4	Max Pacioretty		X			100.00	76	34	82	72	85	78	82	80	77	78	84	70	77	74	64	29	43	76	1
5	Pavel Datsyuk	X				100.00	62	44	73	80	69	76	69	75	67	76	81	70	73	95	99	11	43	75	0
6	Brandon Bollig		X			100.00	80	75	75	73	81	64	85	75	76	68	71	72	71	72	67	27	43	74	0
7	Devin Setoguchi			X		100.00	72	33	80	73	85	76	76	79	73	76	81	63	76	76	61	23	43	74	0
8	Eric Wellwood			X		100.00	72	27	84	79	79	82	74	79	70	73	78	68	73	66	62	34	43	74	0
9	Tyler Kennedy			X		100.00	79	48	68	81	69	68	78	73	70	83	75	73	63	72	67	21	43	74	0
10	Emerson Etem (R)		X			100.00	75	29	81	75	75	76	78	73	69	72	85	67	70	60	52	41	43	73	0
11	Martin Havlat			X		100.00	73	38	70	71	79	75	71	81	73	72	63	71	84	91	96	13	43	72	0
12	Cam Fowler				X	100.00	81	34	80	82	85	79	81	79	65	84	73	84	70	73	58	42	43	79	1
13	Mike Lundin				X	100.00	74	33	78	78	85	79	81	83	57	77	77	90	61	88	72	16	43	79	1
14	Nick Leddy				X	100.00	77	28	85	81	79	83	83	77	61	78	79	74	72	69	47	43	42	76	1
15	Dennis Wideman				X	100.00	65	42	80	78	80	76	76	73	62	76	73	71	59	91	79	16	43	74	0
16	Rob Scuderi				X	100.00	72	38	77	77	72	75	75	67	54	78	59	81	68	91	85	10	43	74	0
17	Ryan Wilson				X	100.00	71	40	69	81	69	81	80	77	60	79	63	75	57	68	55	23	43	73	0
18	Shea Theodore (R)				X	100.00	64	37	86	79	60	70	80	79	44	86	72	77	51	56	44	57	43	72	0
Rayé
1	Andreas Nodl			X		100.00	77	29	80	74	72	76	79	79	70	74	74	67	73	70	64	23	43	72	0

	MOYENNE D'ÉQUIPE					100.00	74	37	79	78	78	77	79	78	68	77	76	73	71	75	66	30	43	75

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
1	Rick DiPietro	100.00	69	83	77	84	72	77	78	73	80	72	73	91	96	12	43	77	1
2	Andrei Vasilevskiy	100.00	67	91	66	72	75	74	78	91	80	75	68	49	45	49	43	75	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	68	87	72	78	74	76	78	82	80	74	71	70	71	31	43	76

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Boudreau	80	68	89	76	49	71	49	CAN	57	1	1,000,000$

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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2
Andreas Nodl	Blue Jackets	RW	29	1987-01-01	No	196 Lbs	6 ft1	No	No	No	1	Pro Only	1,200,000$	1,200,000$	1,200,000$	1,200,000$	No
Andrei Vasilevskiy	Blue Jackets	G	22	1994-01-01	No	198 Lbs	6 ft3	No	No	No	1	Pro Only	2,200,000$	2,200,000$	2,200,000$	2,200,000$	No
Artemi Panarin	Blue Jackets	LW	25	1991-01-01	No	170 Lbs	5 ft11	No	No	No	1	Pro Only	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No
Brandon Bollig	Blue Jackets	LW	29	1987-01-01	No	215 Lbs	6 ft3	No	No	No	1	Pro Only	1,200,000$	1,200,000$	1,200,000$	1,200,000$	No
Cam Fowler	Blue Jackets	D	25	1991-01-01	No	211 Lbs	6 ft1	No	No	No	2	Pro Only	3,750,000$	3,750,000$	3,750,000$	3,750,000$	No	4,250,000$
Cody Hodgson	Blue Jackets	C	26	1990-01-01	No	185 Lbs	6 ft0	No	No	No	1	Pro Only	3,900,000$	3,900,000$	3,900,000$	3,900,000$	No
Dennis Wideman	Blue Jackets	D	33	1983-01-01	No	196 Lbs	6 ft0	No	No	No	2	Pro Only	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	1,760,000$
Devin Setoguchi	Blue Jackets	RW	29	1987-01-01	No	200 Lbs	6 ft0	No	No	No	1	Pro Only	2,900,000$	2,900,000$	2,900,000$	2,900,000$	No
Emerson Etem	Blue Jackets	LW	24	1992-01-01	Yes	212 Lbs	6 ft1	No	No	No	2	Pro Only	1,300,000$	1,300,000$	1,300,000$	1,300,000$	No	1,700,000$
Eric Wellwood	Blue Jackets	RW	26	1990-01-01	No	180 Lbs	5 ft11	No	No	No	1	Pro Only	1,200,000$	1,200,000$	1,200,000$	1,200,000$	No
Martin Havlat	Blue Jackets	RW	35	1981-01-01	No	217 Lbs	6 ft2	No	No	No	2	Pro Only	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	1,000,000$
Max Pacioretty	Blue Jackets	LW	28	1988-01-01	No	203 Lbs	6 ft1	No	No	No	1	Pro Only	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No
Mike Lundin	Blue Jackets	D	32	1984-01-01	No	197 Lbs	6 ft2	No	No	No	1	Pro Only	2,000,000$	2,000,000$	2,000,000$	2,000,000$	No
Nick Leddy	Blue Jackets	D	25	1991-01-01	No	191 Lbs	6 ft0	No	No	No	2	Pro Only	2,900,000$	2,900,000$	2,900,000$	2,900,000$	No	3,000,000$
Pavel Datsyuk	Blue Jackets	C	38	1978-01-01	No	194 Lbs	5 ft11	No	No	No	1	Pro Only	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No
Rick DiPietro	Blue Jackets	G	35	1981-01-01	No	210 Lbs	6 ft1	No	No	No	1	Pro Only	2,000,000$	2,000,000$	2,000,000$	2,000,000$	No
Rob Scuderi	Blue Jackets	D	38	1978-01-01	No	211 Lbs	6 ft1	No	No	No	2	Pro Only	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	1,000,000$
Ryan Wilson	Blue Jackets	D	29	1987-01-01	No	207 Lbs	6 ft1	No	No	No	1	Pro Only	1,100,000$	1,100,000$	1,100,000$	1,100,000$	No
Shea Theodore	Blue Jackets	D	21	1995-01-01	Yes	185 Lbs	6 ft2	No	No	No	1	Pro Only	1,300,000$	1,300,000$	1,300,000$	1,300,000$	No
Tyler Kennedy	Blue Jackets	RW	30	1986-01-01	No	183 Lbs	5 ft11	No	No	No	1	Pro Only	1,400,000$	1,400,000$	1,400,000$	1,400,000$	No
Tyler Seguin	Blue Jackets	C	24	1992-01-01	No	200 Lbs	6 ft1	No	No	No	2	Pro Only	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	28.71	198 Lbs	6 ft1	1.33	2,278,571$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
47,850,000$	17,710,000$	0$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,	,

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, ,		,

Tirs de Pénalité
, , , ,

Gardien
#1 : , #2 :

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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

	Ligue												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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	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
0	0	0.00%	0	0	0.00%	0	0	0.00%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
0	0	0	0	0	0

Derniers Match 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	RI	Lien

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	25	200
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	47,850,000$	37,350,000$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	21	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	9,385,124$	9,385,124$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
0$	60,000,000$	60,000,000$	-35,000,000$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Artemi Panarin	AGE:25	PO:42	OV:79
Max Pacioretty	AGE:28	PO:29	OV:76
Brandon Bollig	AGE:29	PO:27	OV:74
Emerson Etem (R)	AGE:24	PO:41	OV:73
Matt Calvert	AGE:27	PO:30	OV:70
Austin Watson (R)	AGE:24	PO:37	OV:65
Joakim Nordstrom (R)	AGE:24	PO:40	OV:64
Marc Michaelis (R)	AGE:21	PO:62	OV:62
Patrik Laine (R)	AGE:18	PO:93	OV:61
Francis Perron (R)	AGE:20	PO:56	OV:58

Tyler Seguin	AGE:24	PO:51	OV:80
Cody Hodgson	AGE:26	PO:41	OV:77
Pavel Datsyuk	AGE:38	PO:11	OV:75
Zac Dalpe	AGE:27	PO:33	OV:71
Dominik Simon (R)	AGE:22	PO:60	OV:69
Christian Hanson	AGE:30	PO:19	OV:69
Jared Knight (R)	AGE:24	PO:37	OV:66
Ryan Fitzgerald (R)	AGE:22	PO:49	OV:64
Maxim Mamin (R)	AGE:21	PO:54	OV:61
Nathan Noel (R)	AGE:21	PO:50	OV:60
Cameron Hughes (R)	AGE:20	PO:59	OV:51

Eric Wellwood	AGE:26	PO:34	OV:74
Devin Setoguchi	AGE:29	PO:23	OV:74
Tyler Kennedy	AGE:30	PO:21	OV:74
Andreas Nodl	AGE:29	PO:23	OV:72
Martin Havlat	AGE:35	PO:13	OV:72
Ondrej Kase (R)	AGE:20	PO:60	OV:69
Mitch Marner (R)	AGE:19	PO:84	OV:68
Bobby Farnham	AGE:27	PO:30	OV:67
Richard Nejezchleb (R)	AGE:22	PO:40	OV:62

Défense #1

Défense #2

Gardien

Cam Fowler	AGE:25	PO:42	OV:79
Mike Lundin	AGE:32	PO:16	OV:79
Nick Leddy	AGE:25	PO:43	OV:76
Dennis Wideman	AGE:33	PO:16	OV:74
Rob Scuderi	AGE:38	PO:10	OV:74
Ryan Wilson	AGE:29	PO:23	OV:73
Shea Theodore (R)	AGE:21	PO:57	OV:72

Morgan Rielly (R)	AGE:22	PO:57	OV:70
Aaron Ness (R)	AGE:26	PO:32	OV:69
Dillon Heatherington (R)	AGE:21	PO:50	OV:66
Matt Grzelcyk (R)	AGE:22	PO:48	OV:64
Victor Mete (R)	AGE:18	PO:80	OV:59
Tarmo Reunanen (R)	AGE:18	PO:64	OV:56

Rick DiPietro	AGE:35	PO:12	OV:77
Andrei Vasilevskiy	AGE:22	PO:49	OV:75
Eric Comrie	AGE:21	PO:55	OV:71
Phoenix Copley	AGE:24	PO:32	OV:65
Peyton Jones (R)	AGE:20	PO:68	OV:56

Éspoirs

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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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information	Lien

Choix au Repêchage

Année	R1	R2	R3	R4	R5
2
3
4
5
6

[2021-11-27 10:02:43 AM] - TRADE : From Kings to Blue Jackets : Zac Dalpe (71).
[2021-11-27 10:02:43 AM] - TRADE : From Blue Jackets to Kings : Roman Josi (71).
[2021-11-27 10:01:08 AM] - TRADE : From Blue Jackets to Blackhawks : Dalton Prout (78).
[2021-11-27 10:01:08 AM] - TRADE : From Blackhawks to Blue Jackets : Nick Leddy (76).
[2021-11-27 9:59:48 AM] - Thomas Greiss was released.
[2021-11-27 9:59:48 AM] - Blue Jackets paid $0 to release Thomas Greiss.
[2021-11-27 9:59:43 AM] - Timothy Kunes was released.
[2021-11-27 9:59:43 AM] - Blue Jackets paid $0 to release Timothy Kunes.
[2021-11-27 9:56:09 AM] - David Kolomatis was released.
[2021-11-27 9:56:09 AM] - Blue Jackets paid $0 to release David Kolomatis.
[2021-11-27 9:56:02 AM] - Justin Florek was released.
[2021-11-27 9:56:02 AM] - Blue Jackets paid $0 to release Justin Florek.
[2021-11-27 9:54:14 AM] - Anthony Stewart was released.
[2021-11-27 9:54:14 AM] - Blue Jackets paid $0 to release Anthony Stewart.
[2021-11-21 9:49:22 AM] - Monsters hired Tony Twist for $550,000 for 4 year(s).
[2021-11-07 9:43:43 AM] - Andrew Gordon was released.
[2021-11-07 9:43:43 AM] - Blue Jackets paid $0 to release Andrew Gordon.
[2021-10-31 1:08:56 PM] - Beau Starrett was released.
[2021-10-31 1:08:56 PM] - Blue Jackets paid $0 to release Beau Starrett.
[2021-09-26 4:03:21 PM] - TRADE : From Blue Jackets to Oilers : Y:2-RND:2-Clb.
[2021-09-26 3:23:07 PM] - TRADE : From Blackhawks to Blue Jackets : Y:2-RND:2-Chi.
[2021-09-17 9:36:56 AM] - Blue Jackets hired Bruce Boudreau for $1,000,000 for 1 year(s).

[2021-11-27 10:02:43 AM] TRADE : From Kings to Blue Jackets : Zac Dalpe (71).
[2021-11-27 10:02:43 AM] TRADE : From Blue Jackets to Kings : Roman Josi (71).
[2021-11-27 10:01:08 AM] TRADE : From Blue Jackets to Blackhawks : Dalton Prout (78).
[2021-11-27 10:01:08 AM] TRADE : From Blackhawks to Blue Jackets : Nick Leddy (76).
[2021-11-27 9:59:58 AM] -$2,467,000 was added to Blue Jackets bank account.
[2021-11-27 9:59:48 AM] Thomas Greiss was released by Blue Jackets.
[2021-11-27 9:59:48 AM] Blue Jackets paid $0 to release Thomas Greiss.
[2021-11-27 9:59:43 AM] Timothy Kunes was released by Blue Jackets.
[2021-11-27 9:59:43 AM] Blue Jackets paid $0 to release Timothy Kunes.
[2021-11-27 9:56:28 AM] -$1,800,000 was added to Blue Jackets bank account.
[2021-11-27 9:56:09 AM] David Kolomatis was released by Blue Jackets.
[2021-11-27 9:56:09 AM] Blue Jackets paid $0 to release David Kolomatis.
[2021-11-27 9:56:02 AM] Justin Florek was released by Blue Jackets.
[2021-11-27 9:56:02 AM] Blue Jackets paid $0 to release Justin Florek.
[2021-11-27 9:54:14 AM] Anthony Stewart was released by Blue Jackets.
[2021-11-27 9:54:14 AM] Blue Jackets paid $0 to release Anthony Stewart.
[2021-11-21 9:49:22 AM] Monsters hired Tony Twist for $550,000 for 4 year(s).
[2021-11-07 9:43:43 AM] Andrew Gordon was released by Blue Jackets.
[2021-11-07 9:43:43 AM] Blue Jackets paid $0 to release Andrew Gordon.
[2021-10-31 1:08:56 PM] Beau Starrett was released by Blue Jackets.
[2021-10-31 1:08:56 PM] Blue Jackets paid $0 to release Beau Starrett.
[2021-10-20 7:58:21 PM] $13,652,124 was added to Blue Jackets bank account.
[2021-10-20 7:58:14 PM] -$10,000,000 was added to Blue Jackets bank account.
[2021-09-26 4:03:21 PM] TRADE : From Blue Jackets to Oilers : Y:2-RND:2-Clb.
[2021-09-26 3:23:07 PM] TRADE : From Blackhawks to Blue Jackets : Y:2-RND:2-Chi.
[2021-09-17 9:36:56 AM] Blue Jackets hired Bruce Boudreau for $1,000,000 for 1 year(s).

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

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

	Blue Jackets
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Yann Laforest \| Morale : 40 \| Moyenne d'Équipe : 75