Ligue de Hockey Simulé du Saguenay

Heat
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	David Backes			X		100.00	75	34	82	79	76	78	78	85	71	85	75	70	68	84	85	16	43	77	1
2	Alexander Semin		X			100.00	80	34	69	80	79	85	84	77	72	73	76	68	87	87	91	18	43	76	1
3	Patrik Berglund	X				100.00	74	27	88	73	83	80	81	78	80	78	83	71	74	69	54	29	43	76	1
4	Brad Marchand		X			100.00	78	45	80	79	82	78	77	75	73	77	76	74	80	72	56	29	43	75	0
5	Colin Wilson	X				100.00	73	24	83	76	85	78	79	77	83	75	79	65	78	65	61	35	43	74	0
6	Jimmy Hayes			X		100.00	79	44	75	71	77	67	81	79	71	79	80	72	66	68	64	31	43	74	0
7	Anders Lee (R)	X				100.00	80	26	83	75	75	75	72	74	70	68	85	67	71	65	62	32	43	73	0
8	Tanner Pearson (R)		X			100.00	67	28	91	77	80	81	81	78	62	65	82	62	76	65	65	48	43	73	0
9	Erik Johnson				X	100.00	71	47	78	81	79	88	90	83	68	79	81	83	70	83	52	33	43	78	1
10	Sami Vatanen				X	100.00	76	36	88	81	83	83	87	81	59	79	78	72	70	72	47	41	43	77	1
11	Colby Robak				X	100.00	74	36	77	72	79	81	78	72	65	79	69	78	67	71	50	34	43	74	0
12	David Savard (R)				X	100.00	80	41	74	77	76	79	79	71	61	70	73	75	67	78	58	33	43	74	0
13	Esa Lindell (R)				X	100.00	69	29	84	79	76	77	80	81	46	83	69	69	62	66	46	50	43	73	0
14	Christian Folin (R)				X	100.00	68	31	77	75	75	78	78	84	56	76	61	76	59	63	57	35	43	72	0
Rayé
1	Eric Staal	X				100.00	74	54	74	76	78	76	87	84	79	81	80	73	87	91	99	20	43	79	1
2	David Ullstrom		X			100.00	76	21	83	70	82	83	75	77	75	81	67	69	68	64	58	32	43	72	0
3	Kyle Palmieri			X		100.00	75	24	75	76	80	79	81	82	73	72	72	68	75	55	51	37	43	72	0
4	Vladimir Sobotka	X				100.00	65	37	72	72	73	77	69	72	72	72	73	72	64	71	57	23	43	70	0
5	Brendan Mikkelson				X	100.00	71	38	81	69	74	75	76	64	58	73	64	80	64	68	55	22	43	72	0

	MOYENNE D'ÉQUIPE					100.00	74	35	80	76	79	79	80	78	68	76	75	72	71	71	61	31	43	74

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	Henrik Lundqvist	100.00	80	90	75	76	81	77	80	82	81	77	76	91	99	15	43	81	2
2	Christopher Gibson	100.00	73	83	74	75	72	77	82	82	79	77	70	59	54	39	43	76	1
Rayé

	MOYENNE D'ÉQUIPE	100.00	77	87	75	76	77	77	81	82	80	77	73	75	77	27	43	79

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Lindy Ruff	87	64	75	78	88	88	54	CAN	52	2	2,000,000$

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	Salaire Année 3	Salaire Année 4
Alexander Semin	Flames	LW	32	1984-01-01	No	208 Lbs	6 ft2	No	No	No	1	Pro Only	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No
Anders Lee	Flames	C	26	1990-01-01	Yes	225 Lbs	6 ft2	No	No	No	1	Pro & Farm	950,000$	950,000$	950,000$	950,000$	No
Brad Marchand	Flames	LW	28	1988-01-01	No	183 Lbs	5 ft9	No	No	No	2	Pro Only	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$
Brendan Mikkelson	Flames	D	29	1987-01-01	No	205 Lbs	6 ft3	No	No	No	1	Pro Only	1,250,000$	1,250,000$	1,250,000$	1,250,000$	No
Christian Folin	Flames	D	25	1991-01-01	Yes	214 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	850,000$	850,000$	850,000$	No
Christopher Gibson	Flames	G	24	1992-01-01	No	190 Lbs	6 ft1	No	No	No	3	Pro Only	1,700,000$	1,700,000$	1,700,000$	1,700,000$	No	1,900,000$	2,400,000$
Colby Robak	Flames	D	26	1990-01-01	No	194 Lbs	6 ft3	No	No	No	3	Pro Only	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	1,800,000$	2,100,000$
Colin Wilson	Flames	C	27	1989-01-01	No	210 Lbs	6 ft1	No	No	No	1	Pro Only	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No
David Backes	Flames	RW	32	1984-01-01	No	225 Lbs	6 ft3	No	No	No	1	Pro Only	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No
David Savard	Flames	D	26	1990-01-01	Yes	219 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,600,000$	1,600,000$	1,600,000$	1,600,000$	No	1,800,000$	2,000,000$
David Ullstrom	Flames	LW	27	1989-01-01	No	192 Lbs	6 ft3	No	No	No	2	Pro Only	1,800,000$	1,800,000$	1,800,000$	1,800,000$	No	2,100,000$
Eric Staal	Flames	C	32	1984-01-01	No	205 Lbs	6 ft4	No	No	No	4	Pro Only	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	5,000,000$
Erik Johnson	Flames	D	28	1988-01-01	No	232 Lbs	6 ft4	No	No	No	2	Pro Only	5,300,000$	5,300,000$	5,300,000$	5,300,000$	No	5,500,000$
Esa Lindell	Flames	D	22	1994-01-01	Yes	187 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	1,250,000$	1,250,000$	No
Henrik Lundqvist	Flames	G	34	1982-01-01	No	198 Lbs	6 ft1	No	No	No	3	Pro Only	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No	4,000,000$	3,000,000$
Jimmy Hayes	Flames	RW	27	1989-01-01	No	221 Lbs	6 ft6	No	No	No	1	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	1,200,000$	No
Kyle Palmieri	Flames	RW	25	1991-01-01	No	195 Lbs	5 ft11	No	No	No	2	Pro Only	1,300,000$	1,300,000$	1,300,000$	1,300,000$	No	1,800,000$
Patrik Berglund	Flames	C	28	1988-01-01	No	218 Lbs	6 ft4	No	No	No	2	Pro Only	3,500,000$	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$
Sami Vatanen	Flames	D	25	1991-01-01	No	183 Lbs	5 ft10	No	No	No	1	Pro Only	3,500,000$	3,500,000$	3,500,000$	3,500,000$	No
Tanner Pearson	Flames	LW	24	1992-01-01	Yes	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,100,000$	1,100,000$	1,100,000$	1,100,000$	No
Vladimir Sobotka	Flames	C	29	1987-01-01	No	183 Lbs	5 ft10	No	No	No	1	Pro Only	985,000$	985,000$	985,000$	985,000$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	27.43	204 Lbs	6 ft2	1.76	2,608,810$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
54,785,000$	31,400,000$	14,500,000$	5,000,000$	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$	54,785,000$	39,950,000$	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$	30,882,762$	30,882,762$

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

Alexander Semin	AGE:32	PO:18	OV:76
Brad Marchand	AGE:28	PO:29	OV:75
Tanner Pearson (R)	AGE:24	PO:48	OV:73
David Ullstrom	AGE:27	PO:32	OV:72
Matthew Nieto (R)	AGE:24	PO:42	OV:71
Jake DeBrusk (R)	AGE:20	PO:66	OV:70
Peter Cehlarik (R)	AGE:21	PO:57	OV:65
Eric Karlsson (R)	AGE:22	PO:45	OV:62
Jesper Bratt (R)	AGE:18	PO:79	OV:60
Radim Zohorna (R)	AGE:20	PO:62	OV:56

Eric Staal	AGE:32	PO:20	OV:79
Patrik Berglund	AGE:28	PO:29	OV:76
Colin Wilson	AGE:27	PO:35	OV:74
Anders Lee (R)	AGE:26	PO:32	OV:73
Vladimir Sobotka	AGE:29	PO:23	OV:70
Victor Rask (R)	AGE:23	PO:48	OV:69
Philip Varone (R)	AGE:26	PO:32	OV:69
Ryan Spooner (R)	AGE:24	PO:40	OV:67
Nico Sturm (R)	AGE:21	PO:54	OV:66
Chris Brown (R)	AGE:25	PO:33	OV:64
Ryan Donato (R)	AGE:20	PO:61	OV:62
Vladislav Kamenev (R)	AGE:20	PO:62	OV:59
Alexander True (R)	AGE:19	PO:54	OV:52

David Backes	AGE:32	PO:16	OV:77
Jimmy Hayes	AGE:27	PO:31	OV:74
Bryan Rust (R)	AGE:24	PO:43	OV:72
Kyle Palmieri	AGE:25	PO:37	OV:72
Kevin Labanc (R)	AGE:20	PO:59	OV:70
Evgeny Svechnikov (R)	AGE:20	PO:64	OV:69
Barclay Goodrow (R)	AGE:23	PO:42	OV:65
Tyler Shattock (R)	AGE:26	PO:29	OV:63
Tage Thompson (R)	AGE:19	PO:73	OV:57

Défense #1

Défense #2

Gardien

Erik Johnson	AGE:28	PO:33	OV:78
Sami Vatanen	AGE:25	PO:41	OV:77
Colby Robak	AGE:26	PO:34	OV:74
David Savard (R)	AGE:26	PO:33	OV:74
Esa Lindell (R)	AGE:22	PO:50	OV:73
Christian Folin (R)	AGE:25	PO:35	OV:72
Brendan Mikkelson	AGE:29	PO:22	OV:72
Mathieu Brodeur (R)	AGE:26	PO:28	OV:69
Greg Pateryn (R)	AGE:26	PO:30	OV:68

Rasmus Andersson (R)	AGE:20	PO:67	OV:67
Frank Corrado (R)	AGE:23	PO:43	OV:66
Trevor Carrick (R)	AGE:22	PO:38	OV:64
John Gilmour (R)	AGE:23	PO:37	OV:64
Petteri Lindbohm (R)	AGE:23	PO:40	OV:63
Dominik Masin (R)	AGE:20	PO:59	OV:60
Christian Jaros (R)	AGE:20	PO:54	OV:59
Brandon Hickey (R)	AGE:20	PO:48	OV:59

Henrik Lundqvist	AGE:34	PO:15	OV:81
Christopher Gibson	AGE:24	PO:39	OV:76
Michael Hutchinson	AGE:26	PO:29	OV:73
Nathan Lieuwen	AGE:25	PO:31	OV:64
Vitek Vanecek	AGE:20	PO:56	OV:60
Collin Delia (R)	AGE:22	PO:70	OV:56

Éspoirs

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

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

[2021-11-26 7:51:01 PM] - Eric Staal was added to Flames.
[2021-11-16 8:13:37 PM] - Steve Regier was released.
[2021-11-16 8:13:37 PM] - Flames paid $0 to release Steve Regier.
[2021-11-16 8:13:28 PM] - Eric Staal was released.
[2021-11-16 8:13:28 PM] - Flames paid $0 to release Eric Staal.
[2021-11-16 8:13:05 PM] - Derek Meech was released.
[2021-11-16 8:13:05 PM] - Flames paid $0 to release Derek Meech.
[2021-11-16 8:12:52 PM] - Colby Cohen was released.
[2021-11-16 8:12:52 PM] - Flames paid $0 to release Colby Cohen.
[2021-11-16 8:12:42 PM] - Antti Raanta was released.
[2021-11-16 8:12:42 PM] - Flames paid $0 to release Antti Raanta.
[2021-11-16 8:12:34 PM] - Alexander Radulov was released.
[2021-11-16 8:12:34 PM] - Flames paid $0 to release Alexander Radulov.
[2021-09-26 10:01:48 AM] - Heat hired Dan Bylsma for $800,000 for 1 year(s).
[2021-09-26 10:01:33 AM] - Flames hired Lindy Ruff for $2,000,000 for 2 year(s).

[2021-11-28 2:49:32 PM] Dany Heatley was added to Panthers.
[2021-11-26 7:53:08 PM] -$4,000,000 was added to Flames bank account.
[2021-11-26 7:51:01 PM] Eric Staal was added to Flames.
[2021-11-16 8:13:37 PM] Steve Regier was released by Flames.
[2021-11-16 8:13:37 PM] Flames paid $0 to release Steve Regier.
[2021-11-16 8:13:28 PM] Eric Staal was released by Flames.
[2021-11-16 8:13:28 PM] Flames paid $0 to release Eric Staal.
[2021-11-16 8:13:05 PM] Derek Meech was released by Flames.
[2021-11-16 8:13:05 PM] Flames paid $0 to release Derek Meech.
[2021-11-16 8:12:52 PM] Colby Cohen was released by Flames.
[2021-11-16 8:12:52 PM] Flames paid $0 to release Colby Cohen.
[2021-11-16 8:12:42 PM] Antti Raanta was released by Flames.
[2021-11-16 8:12:42 PM] Flames paid $0 to release Antti Raanta.
[2021-11-16 8:12:34 PM] Alexander Radulov was released by Flames.
[2021-11-16 8:12:34 PM] Flames paid $0 to release Alexander Radulov.
[2021-11-09 7:50:01 PM] Dany Heatley was released by Maple Leafs.
[2021-11-09 7:50:01 PM] Maple Leafs paid $0 to release Dany Heatley.
[2021-10-20 7:41:31 PM] $34,882,762 was added to Flames bank account.
[2021-10-20 7:41:23 PM] -$10,000,000 was added to Flames bank account.
[2021-09-26 10:01:48 AM] Heat hired Dan Bylsma for $800,000 for 1 year(s).
[2021-09-26 10:01:33 AM] Flames hired Lindy Ruff for $2,000,000 for 2 year(s).

Pas de Blessure ou de Suspension.

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	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

	Flames
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Steve Landry \| Morale : 40 \| Moyenne d'Équipe : 75