LHSM - Moose

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Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
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Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière
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	Evgeni Malkin	0	X	X	X		100.00	49	30	41	10	74	89	43	92	79	91	88	72	87	84	87	0	33	84	0
2	Ryan Getzlaf	0	X				100.00	77	35	53	25	91	91	43	81	84	88	84	79	88	86	94	0	61	83	0
3	Jack Eichel	0	X				100.00	49	13	67	13	64	92	72	89	82	89	86	76	85	48	50	0	82	82	0
4	Matt Duchene	0	X		X		100.00	43	25	76	19	61	87	69	84	90	85	88	72	90	73	68	0	58	81	0
5	Anders Lee	0	X	X			100.00	67	31	53	24	89	80	79	81	60	82	86	71	72	59	62	0	65	79	0
6	Jeff Carter	0	X		X		100.00	57	26	61	31	86	85	52	75	86	81	82	77	86	85	80	0	77	79	0
7	Anthony Mantha	0		X	X		100.00	57	38	65	25	87	83	71	81	43	82	85	70	70	53	58	0	88	78	0
8	Boone Jenner	0		X	X		100.00	80	32	61	34	74	79	67	75	84	81	82	75	75	60	77	0	88	77	0
9	Gustav Nyquist	0		X	X		100.00	45	5	74	27	54	81	79	78	48	84	84	70	87	70	36	0	65	76	0
10	Jordan Eberle	0			X		100.00	44	23	72	27	56	78	72	77	39	82	84	68	91	74	76	0	66	76	0
11	Jonathan Drouin	0	X	X	X		100.00	47	23	66	26	57	80	68	78	64	85	84	70	85	51	46	0	89	76	0
12	Tyler Bertuzzi	0		X			100.00	62	41	63	31	60	76	76	77	36	82	84	70	71	48	59	0	78	75	0
13	Shea Weber (C)	0				X	100.00	80	38	65	39	92	86	47	89	21	86	80	80	68	83	93	0	79	82	0
14	Ryan McDonagh	0				X	100.00	60	24	67	43	80	81	67	86	22	89	79	89	43	70	79	0	74	81	0
15	Brent Seabrook	0				X	100.00	66	32	63	43	87	70	71	85	31	85	77	70	79	88	89	0	88	78	0
16	Matt Dumba	0				X	100.00	67	34	65	38	53	85	66	89	78	87	77	76	69	57	57	0	64	78	0
17	Dmitry Orlov	0				X	100.00	67	25	68	44	73	80	71	83	25	86	77	69	72	64	48	0	76	76	0
18	Tyler Myers	0				X	100.00	58	32	58	43	93	72	60	85	23	85	78	69	74	70	54	0	77	76	0
Rayé
1	Kevin Connauton	0				X	100.00	82	36	64	46	78	61	69	82	27	81	75	65	69	57	54	0	21	71	0
2	Nathan Beaulieu	0				X	100.00	64	36	61	45	71	57	60	81	27	82	76	51	59	61	55	0	50	69	0
3	Luke Schenn	0				X	100.00	89	41	63	52	86	56	76	77	22	78	73	57	43	74	70	0	22	68	0

	MOYENNE D'ÉQUIPE					100.00	62	30	63	33	75	79	66	82	51	84	81	71	74	67	66	0	67	77

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	Marc-Andre Fleury	100.00	99	78	99	82	97	95	94	97	98	77	95	99	99	0	88	91	0
2	Casey DeSmith	100.00	94	90	88	82	93	93	93	94	91	62	72	45	58	0	22	84	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	97	84	94	82	95	94	94	96	95	70	84	72	79	0	55	88

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Sullivan	99	89	92	73	73	90	50	USA	51	2	450,000$

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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Anders Lee	Moose	C/LW	29	1990-07-03	No	231 Lbs	191 CM	No	No	No	1	Sans Restriction	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	Lien / Lien NHL
Anthony Mantha	Moose	LW/RW	25	1994-09-16	No	225 Lbs	196 CM	No	No	No	1	Avec Restriction	Pro & Farm	863,333$	863,333$	863,333$	No	Lien / Lien NHL
Boone Jenner	Moose	LW/RW	26	1993-06-15	No	206 Lbs	188 CM	No	No	No	2	Avec Restriction	Pro & Farm	2,900,000$	2,900,000$	2,900,000$	No	Lien / Lien NHL
Brent Seabrook	Moose	D	34	1985-04-20	No	220 Lbs	191 CM	No	No	No	1	Sans Restriction	Pro Only	6,960,000$	6,960,000$	6,960,000$	No	Lien / Lien NHL
Casey DeSmith	Moose	G	28	1991-08-13	No	181 Lbs	183 CM	No	No	No	1	Avec Restriction	Pro & Farm	675,000$	675,000$	675,000$	No	Lien
Dmitry Orlov	Moose	D	28	1991-07-23	No	212 Lbs	180 CM	No	No	No	3	Avec Restriction	Pro & Farm	5,100,000$	5,100,000$	5,100,000$	No	Lien / Lien NHL
Evgeni Malkin	Moose	C/LW/RW	33	1986-07-31	No	195 Lbs	191 CM	No	No	No	4	Sans Restriction	Pro Only	11,400,000$	11,400,000$	11,400,000$	No	Lien / Lien NHL
Gustav Nyquist	Moose	LW/RW	30	1989-09-01	No	184 Lbs	180 CM	No	No	No	2	Sans Restriction	Pro Only	4,750,000$	4,750,000$	4,750,000$	No	Lien / Lien NHL
Jack Eichel	Moose	C	22	1996-10-28	No	200 Lbs	188 CM	No	No	No	2	Contrat d'Entrée	Pro & Farm	3,775,000$	3,775,000$	3,775,000$	No	Lien / Lien NHL
Jeff Carter	Moose	C/RW	34	1985-01-01	No	219 Lbs	191 CM	No	No	No	1	Sans Restriction	Pro Only	6,327,272$	6,327,272$	6,327,272$	No	Lien / Lien NHL
Jonathan Drouin	Moose	C/LW/RW	24	1995-03-28	No	193 Lbs	183 CM	No	No	No	1	Avec Restriction	Pro & Farm	3,194,000$	3,194,000$	3,194,000$	No	Lien / Lien NHL
Jordan Eberle	Moose	RW	29	1990-05-15	No	187 Lbs	180 CM	No	No	No	2	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	No	Lien / Lien NHL
Kevin Connauton	Moose	D	29	1990-02-23	No	205 Lbs	188 CM	No	No	No	1	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	Lien / Lien NHL
Luke Schenn	Moose	D	29	1989-11-02	No	221 Lbs	188 CM	No	No	No	0	Sans Restriction	Pro & Farm		0$	0$	No	Lien / Lien NHL
Marc-Andre Fleury	Moose	G	34	1984-11-28	No	180 Lbs	188 CM	No	No	No	1	Sans Restriction	Pro Only	6,900,000$	6,900,000$	6,900,000$	No	Lien / Lien NHL
Matt Duchene	Moose	C/RW	28	1991-01-16	No	195 Lbs	180 CM	No	No	No	3	Avec Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	No	Lien / Lien NHL
Matt Dumba	Moose	D	25	1994-07-25	No	182 Lbs	183 CM	No	No	No	2	Avec Restriction	Pro & Farm	2,550,000$	2,550,000$	2,550,000$	No	Lien / Lien NHL
Nathan Beaulieu	Moose	D	26	1992-12-05	No	200 Lbs	188 CM	No	No	No	0	Avec Restriction	Pro & Farm		0$	0$	No	Lien / Lien NHL
Ryan Getzlaf	Moose	C	34	1985-05-10	No	225 Lbs	193 CM	No	No	No	3	Sans Restriction	Pro Only	9,900,000$	9,900,000$	9,900,000$	No	Lien / Lien NHL
Ryan McDonagh	Moose	D	30	1989-06-13	No	215 Lbs	185 CM	No	No	No	3	Sans Restriction	Pro Only	5,640,000$	5,640,000$	5,640,000$	No	Lien / Lien NHL
Shea Weber	Moose	D	34	1985-08-14	No	229 Lbs	193 CM	No	No	No	1	Sans Restriction	Pro Only	7,847,143$	7,847,143$	7,847,143$	No	Lien / Lien NHL
Tyler Bertuzzi	Moose	LW	24	1995-02-24	No	190 Lbs	183 CM	No	No	No	2	Avec Restriction	Pro & Farm	1,400,000$	1,400,000$	1,400,000$	No	Lien
Tyler Myers	Moose	D	29	1990-02-01	No	229 Lbs	203 CM	No	No	No	1	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	No	Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	28.87	205 Lbs	188 CM	1.65	4,453,554$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
102,431,748$	59,415,000$	38,040,000$	11,400,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Anders Lee	Ryan Getzlaf		29	0	2	3
2		Jack Eichel		27	0	2	3
3	Boone Jenner		Matt Duchene	27	0	2	3
4			Anthony Mantha	17	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Shea Weber	Ryan McDonagh	36	0	3	2
2	Brent Seabrook	Tyler Myers	31	0	3	2
3			27	0	3	2
4	Shea Weber		6	0	3	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Anders Lee	Jack Eichel		60	0	1	4
2	Boone Jenner	Ryan Getzlaf	Matt Duchene	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Myers	Shea Weber	55	0	2	3
2	Brent Seabrook	Ryan McDonagh	45	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Boone Jenner	60	0	3	2
2			40	0	3	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan McDonagh	60	0	4	1
2	Shea Weber		40	0	4	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	0	4	1		Shea Weber	60	1	4	0
2		40	0	4	1	Ryan McDonagh		40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1		Anthony Mantha	60	0	2	3
2	Matt Duchene		40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan McDonagh		60	1	2	2
2		Tyler Myers	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Anders Lee	Jack Eichel	Ryan Getzlaf	Shea Weber	Ryan McDonagh

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Boone Jenner			Ryan McDonagh	Shea Weber

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Boone Jenner, Anthony Mantha, Matt Duchene	Jack Eichel,	Anthony Mantha

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan McDonagh, Brent Seabrook, Shea Weber	Shea Weber	Tyler Myers, Brent Seabrook

Tirs de Pénalité
Jack Eichel, , Matt Duchene, , Ryan Getzlaf

Gardien
#1 : Marc-Andre Fleury, #2 :

Lignes d'Attaque Perso. en Prol.
, , Jack Eichel, , Ryan Getzlaf, Boone Jenner, Boone Jenner, Anders Lee, Anthony Mantha, ,

Lignes de Défense Perso. en Prol.
Shea Weber, Ryan McDonagh, , Tyler Myers, Brent Seabrook

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 de l'Aréna	7000	6000	3000	5000	2000
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 de l'Aréna	Popularité de l'Équipe
41	0 - 0.00%	0$	0$	23000	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$	102,431,748$	34,160,477$	0$	-1,980,000$

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	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	17,866,315$	17,866,315$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Evgeni Malkin	AGE:33	PO:0	OV:84
Anders Lee	AGE:29	PO:0	OV:79
Anthony Mantha	AGE:25	PO:0	OV:78
Boone Jenner	AGE:26	PO:0	OV:77
Gustav Nyquist	AGE:30	PO:0	OV:76
Jonathan Drouin	AGE:24	PO:0	OV:76
Tyler Bertuzzi	AGE:24	PO:0	OV:75
Paul Byron	AGE:30	PO:0	OV:72
Dmitrij Jaskin	AGE:26	PO:0	OV:67
Brendan Lemieux	AGE:23	PO:0	OV:67
Michael Dal Colle	AGE:23	PO:0	OV:66
Alexander Nylander	AGE:21	PO:0	OV:62
Matt Puempel	AGE:26	PO:0	OV:62
Beau Bennett	AGE:27	PO:0	OV:59
Morgan Klimchuk	AGE:24	PO:0	OV:54

Evgeni Malkin	AGE:33	PO:0	OV:84
Ryan Getzlaf	AGE:34	PO:0	OV:83
Jack Eichel	AGE:22	PO:0	OV:82
Matt Duchene	AGE:28	PO:0	OV:81
Anders Lee	AGE:29	PO:0	OV:79
Jeff Carter	AGE:34	PO:0	OV:79
Jonathan Drouin	AGE:24	PO:0	OV:76
Jean-Gabriel Pageau	AGE:26	PO:0	OV:73
Paul Byron	AGE:30	PO:0	OV:72
Lukas Sedlak	AGE:26	PO:0	OV:64
*Trent Frederic	AGE:21	PO:0	OV:60
*Vadim Shipachyov	AGE:32	PO:0	OV:59
Nicolas Roy	AGE:22	PO:0	OV:59
Logan Brown	AGE:21	PO:0	OV:58

Evgeni Malkin	AGE:33	PO:0	OV:84
Matt Duchene	AGE:28	PO:0	OV:81
Jeff Carter	AGE:34	PO:0	OV:79
Anthony Mantha	AGE:25	PO:0	OV:78
Boone Jenner	AGE:26	PO:0	OV:77
Gustav Nyquist	AGE:30	PO:0	OV:76
Jordan Eberle	AGE:29	PO:0	OV:76
Jonathan Drouin	AGE:24	PO:0	OV:76
Paul Byron	AGE:30	PO:0	OV:72
Martin Frk	AGE:25	PO:0	OV:67
Dmitrij Jaskin	AGE:26	PO:0	OV:67
*Sam Carrick	AGE:27	PO:0	OV:63
Nick Lappin	AGE:26	PO:0	OV:63
Alexander Nylander	AGE:21	PO:0	OV:62
Michael McCarron	AGE:24	PO:0	OV:62
Beau Bennett	AGE:27	PO:0	OV:59

Défense #1

Défense #2

Gardien

Shea Weber	AGE:34	PO:0	OV:82
Ryan McDonagh	AGE:30	PO:0	OV:81
Brent Seabrook	AGE:34	PO:0	OV:78
Matt Dumba	AGE:25	PO:0	OV:78
Dmitry Orlov	AGE:28	PO:0	OV:76
Tyler Myers	AGE:29	PO:0	OV:76
Travis Dermott	AGE:22	PO:0	OV:71
Kevin Connauton	AGE:29	PO:0	OV:71
Noah Juulsen	AGE:22	PO:0	OV:70
Erik Gudbranson	AGE:27	PO:0	OV:70

Nathan Beaulieu	AGE:26	PO:0	OV:69
Luke Schenn	AGE:29	PO:0	OV:68
Brett Lernout	AGE:24	PO:0	OV:67
*Ryan Lindgren	AGE:21	PO:0	OV:65
Samuel Morin	AGE:24	PO:0	OV:64
Andreas Englund	AGE:23	PO:0	OV:64
Jordan Schmaltz	AGE:25	PO:0	OV:64
*Jakub Zboril	AGE:22	PO:0	OV:62
Dillon Heatherington	AGE:24	PO:0	OV:62

Marc-Andre Fleury	AGE:34	PO:0	OV:91
Casey DeSmith	AGE:28	PO:0	OV:84
*Sam Montembeault	AGE:22	PO:0	OV:79
Charlie Lindgren	AGE:25	PO:0	OV:78

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
Antoine Waked	Moose	2017	107	AD-4.0C	Lien
Connor Chatham	Moose	2014	79	AD-6.5F	Lien
Eric Cornel	Moose	2014	41	C-7.0F	Lien
Francis Beauvillier	Moose	2012	94	AG-5.0F	Lien
Henrik Bjorklund	Moose	2009	112	AD-6.0F	Lien
Jansen Harkins	Moose	2015	22	C-7.0E	Lien
Jeremy Roy	Moose	2015	19	D-7.0E	Lien
Jordan Subban	Moose	2013	59	D-6.0F	Lien
Julien Gauthier	Moose	2016	14	AD-7.5D	Lien
Martin Reway	Moose	2014	105	AG-6.0F	Lien
Mason McDonald	Moose	2014	126	G-7.0F	Lien
Maxim Letunov	Moose	2015	127	C-7.0F	Lien
Nicolas Hague	Moose	2017	33	D-7.0C	Lien
Ryan Collins	Moose	2014	86	D-7.0F	Lien
Scott Kosmachuk	Moose
Vili Saarijarvi	Moose	2016	41	D-6.5E	Lien

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2020		MOO [CON: Exp]			MOO	MOO	MOO
2021		MOO		MOO	MOO	MOO	MOO
2022	MOO	MOO		MOO	MOO	MOO	MOO
2023	MOO	MOO	MOO	MOO	MOO	MOO	MOO
2024	MOO	MOO	MOO	MOO	MOO	MOO	MOO

[2019-08-18 08:31:15] - Michael McCarron signed with Moose for 874 125 $ for 2 year(s).
[2019-08-18 08:31:15] - Michael McCarron was added to Moose.
[2019-08-18 08:24:23] - Erik Gudbranson signed with Moose for 4 000 000 $ for 2 year(s).
[2019-08-18 08:24:23] - Erik Gudbranson was added to Moose.
[2019-08-18 08:06:45] - Dmitrij Jaskin signed with Moose for 1 100 000 $ for 2 year(s).
[2019-08-18 08:06:45] - Dmitrij Jaskin was added to Moose.
[2019-08-18 07:45:47] - Dillon Heatherington signed with Moose for 925 000 $ for 2 year(s).
[2019-08-18 07:45:47] - Dillon Heatherington was added to Moose.
[2019-08-15 10:06:45] - Sam Montembeault was added to Moose.
[2019-08-09 21:46:45] - Sam Carrick was added to Moose.
[2019-08-09 21:46:45] - Ryan Lindgren was added to Moose.
[2019-08-09 21:46:45] - Trent Frederic was added to Moose.
[2019-08-09 21:46:45] - Jakub Zboril was added to Moose.
[2019-08-09 21:46:45] - Vadim Shipachyov was added to Moose.
[2019-07-01 19:55:42] - Kari Lehtonen was released.
[2019-07-01 19:55:42] - Moose paid 0 $ to release Kari Lehtonen.
[2019-07-01 19:55:28] - Torrey Mitchell was released.
[2019-07-01 19:55:28] - Moose paid 0 $ to release Torrey Mitchell.
[2019-07-01 19:55:23] - Thomas Vanek was released.
[2019-07-01 19:55:23] - Moose paid 0 $ to release Thomas Vanek.
[2019-07-01 19:55:18] - Lars Eller was released.
[2019-07-01 19:55:18] - Moose paid 0 $ to release Lars Eller.
[2019-07-01 19:55:10] - Mikko Koivu was released.
[2019-07-01 19:55:10] - Moose paid 0 $ to release Mikko Koivu.
[2019-06-30 09:49:39] - Tyler Bertuzzi signed with Moose for 1 400 000 $ for 2 year(s).
[2019-06-30 09:49:39] - Tyler Bertuzzi was added to Moose.
[2019-06-30 09:48:53] - Jean-Gabriel Pageau signed with Moose for 3 100 000 $ for 2 year(s).
[2019-06-30 09:48:53] - Jean-Gabriel Pageau was added to Moose.
[2019-06-30 09:48:22] - Dmitry Orlov signed with Moose for 5 100 000 $ for 3 year(s).
[2019-06-30 09:48:22] - Dmitry Orlov was added to Moose.
[2019-06-24 21:14:31] - TRADE : From Moose to Expos : Conditional Draft Pick - Y:2020-RND:2-MOO.
[2019-06-24 21:11:09] - TRADE : From Dissous5 to Moose : Y:2020-RND:2-MOO.
[2019-06-07 22:19:47] - TRADE : From Patriots to Moose : Trent Frederic (P).
[2019-06-07 22:19:47] - TRADE : From Moose to Patriots : Y:2019-RND:3-MOO.

[2019-08-18 21:22:40] Erik Gudbranson of Moose was sent down to farm.
[2019-08-18 21:22:40] Michael McCarron of Moose was sent down to farm.
[2019-08-18 21:22:40] Dillon Heatherington of Moose was sent down to farm.
[2019-08-18 21:22:40] Dmitrij Jaskin of Moose was sent down to farm.
[2019-08-18 08:31:15] Michael McCarron signed with Moose for 874 125 $ for 2 year(s).
[2019-08-18 08:31:15] Michael McCarron was added to Moose.
[2019-08-18 08:24:23] Erik Gudbranson signed with Moose for 4 000 000 $ for 2 year(s).
[2019-08-18 08:24:23] Erik Gudbranson was added to Moose.
[2019-08-18 08:06:45] Dmitrij Jaskin signed with Moose for 1 100 000 $ for 2 year(s).
[2019-08-18 08:06:45] Dmitrij Jaskin was added to Moose.
[2019-08-18 07:45:47] Dillon Heatherington signed with Moose for 925 000 $ for 2 year(s).
[2019-08-18 07:45:47] Dillon Heatherington was added to Moose.
[2019-08-17 21:54:27] Sam Montembeault of Moose was sent to farm.
[2019-08-17 21:54:27] Paul Byron of Moose was sent down to farm.
[2019-08-17 21:54:27] Jean-Gabriel Pageau of Moose was sent down to farm.
[2019-08-15 10:06:45] Sam Montembeault was added to Moose.
[2019-08-14 23:07:37] Sam Carrick of Moose was sent down to farm.
[2019-08-14 23:07:37] Trent Frederic of Moose was sent down to farm.
[2019-08-14 23:07:37] Ryan Lindgren of Moose was sent down to farm.
[2019-08-14 23:07:37] Jakub Zboril of Moose was sent down to farm.
[2019-08-14 23:07:37] Vadim Shipachyov of Moose was sent down to farm.
[2019-08-09 21:46:45] Sam Carrick was added to Moose.
[2019-08-09 21:46:45] Ryan Lindgren was added to Moose.
[2019-08-09 21:46:45] Trent Frederic was added to Moose.
[2019-08-09 21:46:45] Jakub Zboril was added to Moose.
[2019-08-09 21:46:45] Vadim Shipachyov was added to Moose.
[2019-07-01 19:55:42] Kari Lehtonen was released by Moose.
[2019-07-01 19:55:42] Moose paid 0 $ to release Kari Lehtonen.
[2019-07-01 19:55:28] Torrey Mitchell was released by Moose.
[2019-07-01 19:55:28] Moose paid 0 $ to release Torrey Mitchell.
[2019-07-01 19:55:23] Thomas Vanek was released by Moose.
[2019-07-01 19:55:23] Moose paid 0 $ to release Thomas Vanek.
[2019-07-01 19:55:18] Lars Eller was released by Moose.
[2019-07-01 19:55:18] Moose paid 0 $ to release Lars Eller.
[2019-07-01 19:55:10] Mikko Koivu was released by Moose.
[2019-07-01 19:55:10] Moose paid 0 $ to release Mikko Koivu.
[2019-07-01 19:55:05] Moose roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-06-30 09:49:39] Tyler Bertuzzi signed with Moose for 1 400 000 $ for 2 year(s).
[2019-06-30 09:49:39] Tyler Bertuzzi was added to Moose.
[2019-06-30 09:48:53] Jean-Gabriel Pageau signed with Moose for 3 100 000 $ for 2 year(s).
[2019-06-30 09:48:53] Jean-Gabriel Pageau was added to Moose.
[2019-06-30 09:48:22] Dmitry Orlov signed with Moose for 5 100 000 $ for 3 year(s).
[2019-06-30 09:48:22] Dmitry Orlov was added to Moose.

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
Saison Régulière
2016	84	26	36	0	10	7	3	2	245	290	-45	42	12	19	0	4	4	2	1	132	142	-10	42	14	17	0	6	3	1	1	113	148	-35	52	245	437	682	0	1	73	82	77	15	2518	771	842	865	56	2515	931	1156	1735	209	43	20.57%	354	74	79.10%	4	816	1670	48.86%	808	1700	47.53%	533	1112	47.93%	1807	1119	1983	714	1317	634
2016	84	27	34	0	8	11	2	2	205	236	-31	42	16	13	0	3	6	2	2	105	98	7	42	11	21	0	5	5	0	0	100	138	-38	54	205	373	578	1	3	51	77	67	10	2412	763	801	817	45	2415	784	1064	1688	220	37	16.82%	265	59	77.74%	0	911	1728	52.72%	912	1683	54.19%	577	1042	55.37%	1878	1189	1892	703	1328	654
2017	84	59	18	0	4	2	0	1	344	184	160	42	32	5	0	4	1	0	0	188	85	103	42	27	13	0	0	1	0	1	156	99	57	118	344	625	969	0	3	115	111	114	4	2636	858	850	913	20	2441	830	626	1756	302	77	25.50%	296	46	84.46%	4	883	1745	50.60%	894	1734	51.56%	583	1111	52.48%	1907	1222	1868	697	1281	634
2017	84	32	41	0	3	4	2	2	215	247	-32	42	16	20	0	3	1	1	1	116	125	-9	42	16	21	0	0	3	1	1	99	122	-23	64	215	387	602	0	3	82	73	55	7	2485	845	833	792	34	2448	883	840	1746	301	62	20.60%	367	81	77.93%	4	912	1750	52.11%	944	1749	53.97%	542	1055	51.37%	1886	1170	1875	708	1311	649
2018	82	18	46	0	2	2	10	4	171	236	-65	41	12	20	0	1	1	7	0	89	101	-12	41	6	26	0	1	1	3	4	82	135	-53	36	171	282	453	2	1	60	61	38	17	2572	846	881	816	81	2725	983	822	1623	328	53	16.16%	369	71	80.76%	7	871	1789	48.69%	912	1871	48.74%	445	947	46.99%	1810	1119	1917	700	1268	625
2018	82	38	27	0	5	7	2	3	219	226	-7	41	22	11	0	2	4	1	1	118	102	16	41	16	16	0	3	3	1	2	101	124	-23	76	219	397	616	1	1	80	62	70	7	2651	896	908	816	45	2726	979	1006	1649	318	53	16.67%	417	78	81.29%	6	969	1826	53.07%	1046	1970	53.10%	526	966	54.45%	1813	1134	1918	701	1239	606
Total Saison Régulière	500	200	202	0	32	33	19	14	1399	1419	-20	250	110	88	0	17	17	13	5	748	653	95	250	90	114	0	15	16	6	9	651	766	-115	400	1399	2501	3900	4	12	461	466	421	60	15274	4979	5115	5019	281	15270	5390	5514	10197	1678	325	19.37%	2068	409	80.22%	25	5362	10508	51.03%	5516	10707	51.52%	3206	6233	51.44%	11103	6957	11456	4225	7747	3804
Séries
2016	5	1	4	0	0	0	0	0	11	11	0	3	1	2	0	0	0	0	0	9	7	2	2	0	2	0	0	0	0	0	2	4	-2	2	11	20	31	0	0	4	5	2	0	159	57	58	43	1	138	65	37	119	10	4	40.00%	11	4	63.64%	0	58	114	50.88%	40	93	43.01%	29	56	51.79%	123	80	106	39	80	39
2016	11	5	6	0	0	0	0	0	33	31	2	5	2	3	0	0	0	0	0	16	17	-1	6	3	3	0	0	0	0	0	17	14	3	10	33	59	92	2	0	12	10	11	0	330	109	117	92	12	336	121	124	259	25	9	36.00%	32	8	75.00%	0	104	223	46.64%	116	218	53.21%	67	153	43.79%	262	164	245	94	188	93
2017	11	6	5	0	0	0	0	0	36	31	5	6	3	3	0	0	0	0	0	19	18	1	5	3	2	0	0	0	0	0	17	13	4	12	36	65	101	0	0	9	15	11	1	361	101	134	93	33	372	103	91	258	48	8	16.67%	44	9	79.55%	1	119	258	46.12%	114	251	45.42%	76	140	54.29%	272	170	257	97	180	89
2017	5	1	4	0	0	0	0	0	13	20	-7	2	0	2	0	0	0	0	0	3	8	-5	3	1	2	0	0	0	0	0	10	12	-2	2	13	23	36	0	0	3	8	2	0	158	49	47	62	0	159	55	39	72	22	4	18.18%	17	4	76.47%	0	57	117	48.72%	54	96	56.25%	28	68	41.18%	108	68	115	41	76	38
2018	13	9	4	0	0	0	0	0	41	33	8	6	5	1	0	0	0	0	0	25	16	9	7	4	3	0	0	0	0	0	16	17	-1	18	41	77	118	0	0	10	21	8	2	417	125	151	108	33	438	163	174	264	45	13	28.89%	73	13	82.19%	0	139	285	48.77%	167	309	54.05%	77	160	48.13%	298	184	323	113	203	99
Total Séries	45	22	23	0	0	0	0	0	134	126	8	22	11	11	0	0	0	0	0	72	66	6	23	11	12	0	0	0	0	0	62	60	2	44	134	244	378	2	0	38	59	34	3	1425	441	507	398	79	1443	507	465	972	150	38	25.33%	177	38	78.53%	1	477	997	47.84%	491	967	50.78%	277	577	48.01%	1065	669	1047	386	728	361