Ligue Canadienne de Hockey Simulé

Flyers
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension

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	Patrick Marleau	X				100.00	38	28	99	74	80	97	99	99	99	99	99	98	99	99	99	56	22	87	0
2	Wayne Simmonds		X			100.00	66	58	65	78	77	88	86	92	62	90	95	82	91	78	89	59	18	81	0
3	David Backes			X		100.00	85	59	73	72	82	75	87	88	99	85	99	70	97	99	97	69	21	80	0
4	Matt Cullen	X				100.00	36	31	99	64	75	92	92	94	79	95	91	72	89	99	93	1	21	79	0
5	Matt Read (R)			X		100.00	61	51	88	78	73	76	89	83	79	77	87	97	83	80	81	13	21	78	0
6	Alexei Ponikarovsky		X			100.00	47	7	99	62	82	98	99	87	46	89	84	62	83	99	99	57	21	77	0
7	Max Domi (R)		X			100.00	61	81	72	83	70	85	85	76	76	94	85	76	78	68	67	63	21	76	0
8	John Mitchell	X				100.00	70	41	82	76	76	81	82	80	88	76	71	84	71	82	80	5	21	74	0
9	Joakim Nordstrom			X		100.00	79	40	90	70	68	86	82	78	64	67	72	89	70	71	68	46	21	72	0
10	Brian Flynn	X				100.00	50	37	86	74	67	71	73	69	86	63	62	82	64	94	80	62	21	68	0
11	Rostislav Olesz			X		100.00	98	57	65	57	80	66	72	64	39	61	71	71	75	80	93	27	18	67	0
12	Andrew MacDonald				X	100.00	46	40	96	66	74	99	99	99	58	77	74	99	73	78	77	16	20	79	0
13	Mathieu Roy				X	100.00	99	96	1	58	80	77	77	89	60	76	99	99	99	86	99	26	21	79	0
14	Carl Gunnarsson				X	100.00	91	50	81	65	77	97	90	99	58	83	79	74	72	76	79	14	22	77	0
15	Jason Demers				X	100.00	81	67	67	80	74	82	84	89	25	77	82	77	81	86	74	16	22	76	0
16	Chris Tanev				X	100.00	56	38	92	78	85	83	87	76	25	68	71	94	50	80	75	30	21	76	0
17	Thomas Hickey				X	100.00	59	40	84	75	73	75	76	87	25	72	70	76	71	81	79	55	22	72	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	66	48	79	71	76	84	86	85	63	79	82	82	79	84	84	36	21	76

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	84	90	86	85	87	94	96	97	96	95	87	93	93	33	21	89	0
2	Peter Budaj	100.00	82	82	82	69	85	98	98	98	98	80	93	88	79	5	21	85	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	83	86	84	77	86	96	97	98	97	88	90	91	86	19	21	87

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dave Hakstol	45	43	56	58	64	64	59	CAN	47	2	5,000,000$

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	CONT	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3
Alexei Ponikarovsky	Flyers	LW	36	1981-08-03 05:11:13	No	226 Lbs	6 ft4	No	No	No	3	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	4,000,000$
Andrew MacDonald	Flyers	D	30	1987-08-03 17:11:13	No	197 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	4,000,000$
Brian Flynn	Flyers	C	28	1989-08-03 05:11:13	No	183 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	800,000$	800,000$
Carl Gunnarsson	Flyers	D	30	1987-08-03 17:11:13	No	206 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$	3,000,000$
Chris Tanev	Flyers	D	27	1990-08-03 11:11:13	No	187 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	2,500,000$	2,500,000$	2,500,000$
David Backes	Flyers	RW	32	1985-08-03 05:11:13	No	223 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	5,000,000$
Jason Demers	Flyers	D	28	1989-08-03 05:11:13	No	202 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	2,650,000$	2,650,000$
Joakim Nordstrom	Flyers	RW	24	1993-08-03 05:11:13	No	193 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	616,666$
John Mitchell	Flyers	C	31	1986-08-03 11:11:13	No	209 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	1,850,000$	1,850,000$
Marc-Andre Fleury	Flyers	C	32	1985-08-03 05:11:14	No	193 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	4,000,000$
Mathieu Roy	Flyers	D	33	1984-08-02 23:11:13	No	228 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$
Matt Cullen	Flyers	C	40	1977-08-03 05:11:13	No	202 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$
Matt Read	Flyers	RW	31	1986-08-03 11:11:13	Yes	188 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	2,200,000$	2,200,000$
Max Domi	Flyers	LW	21	1996-08-02 23:11:13	Yes	198 Lbs	5 ft10	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,363,000$	1,363,000$
Patrick Marleau	Flyers	C	37	1980-08-02 23:11:13	No	229 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	6,500,000$
Peter Budaj	Flyers	C	34	1983-08-03 17:11:14	No	207 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	1,850,000$	1,850,000$
Rostislav Olesz	Flyers	RW	31	1986-08-03 11:11:13	No	229 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	700,000$	700,000$
Thomas Hickey	Flyers	D	27	1990-08-03 11:11:13	No	198 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	1,250,000$	1,250,000$	1,250,000$
Wayne Simmonds	Flyers	LW	28	1989-08-03 05:11:13	No	192 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	3,500,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
19	30.53	205 Lbs	6 ft1	2.16	2,804,193$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
53,279,666$	38,663,000$	23,250,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Wayne Simmonds	Patrick Marleau	David Backes	40	1	2	2
2	Alexei Ponikarovsky	Matt Cullen	Matt Read	30	1	2	2
3	Max Domi	John Mitchell	Joakim Nordstrom	20	1	2	2
4		Brian Flynn	Rostislav Olesz	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrew MacDonald	Mathieu Roy	40	1	2	2
2	Carl Gunnarsson	Chris Tanev	30	1	2	2
3	Jason Demers	Thomas Hickey	20	1	2	2
4	Andrew MacDonald	Mathieu Roy	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Wayne Simmonds	Patrick Marleau	David Backes	60	1	2	2
2	Alexei Ponikarovsky	Matt Cullen	Matt Read	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrew MacDonald	Mathieu Roy	60	1	2	2
2	Carl Gunnarsson	Chris Tanev	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Patrick Marleau	Wayne Simmonds	60	1	2	2
2	David Backes	Matt Cullen	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrew MacDonald	Mathieu Roy	60	1	2	2
2	Carl Gunnarsson	Chris Tanev	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Patrick Marleau	60	1	2	2	Andrew MacDonald	Mathieu Roy	60	1	2	2
2	Wayne Simmonds	40	1	2	2	Carl Gunnarsson	Chris Tanev	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Patrick Marleau	Wayne Simmonds	60	1	2	2
2	David Backes	Matt Cullen	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Andrew MacDonald	Mathieu Roy	60	1	2	2
2	Carl Gunnarsson	Chris Tanev	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Wayne Simmonds	Patrick Marleau	David Backes	Andrew MacDonald	Mathieu Roy

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Wayne Simmonds	Patrick Marleau	David Backes	Andrew MacDonald	Mathieu Roy

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Max Domi, John Mitchell, Joakim Nordstrom	Max Domi, John Mitchell	Joakim Nordstrom

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jason Demers, Thomas Hickey, Carl Gunnarsson	Jason Demers	Thomas Hickey, Carl Gunnarsson

Tirs de Pénalité
Patrick Marleau, Wayne Simmonds, David Backes, Matt Cullen, Matt Read

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

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

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	6000	5000	3500	2000	1500
Prix des Billets	88	74	65	50	115
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$	18000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
53,279,666$	5,150,000$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
0$	0$	0$	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$	81,139,404$	81,139,404$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Wayne Simmonds	AGE:28	PO:59	OV:81
Alexei Ponikarovsky	AGE:36	PO:57	OV:77
*Max Domi	AGE:21	PO:63	OV:76
Tye McGinn	AGE:26	PO:43	OV:69
*Matthew Tkachuk	AGE:20	PO:95	OV:66
*Artturi Lehkonen	AGE:22	PO:87	OV:62
*Matt Fraser	AGE:26	PO:25	OV:60
*Ronalds Kenins	AGE:25	PO:45	OV:59
*Joseph Labate	AGE:25	PO:71	OV:54

Patrick Marleau	AGE:37	PO:56	OV:87
Matt Cullen	AGE:40	PO:1	OV:79
John Mitchell	AGE:31	PO:5	OV:74
Andrew Ebbett	AGE:33	PO:58	OV:71
Brian Flynn	AGE:28	PO:62	OV:68
*Radek Faksa	AGE:22	PO:79	OV:66
Michael Latta	AGE:25	PO:49	OV:61
*Andy Andreoff	AGE:25	PO:42	OV:61
*J.T. Compher	AGE:23	PO:87	OV:57

David Backes	AGE:32	PO:69	OV:80
*Matt Read	AGE:31	PO:13	OV:78
Joakim Nordstrom	AGE:24	PO:46	OV:72
Rostislav Olesz	AGE:31	PO:27	OV:67
*Iiro Pakarinen	AGE:25	PO:43	OV:66
*Tom Kuhnhackl	AGE:26	PO:63	OV:65
*Kevin Fiala	AGE:20	PO:95	OV:62
*Ben Hanowski	AGE:26	PO:48	OV:60

Défense #1

Défense #2

Gardien

Mathieu Roy	AGE:33	PO:26	OV:79
Andrew MacDonald	AGE:30	PO:16	OV:79
Carl Gunnarsson	AGE:30	PO:14	OV:77
Chris Tanev	AGE:27	PO:30	OV:76
Jason Demers	AGE:28	PO:16	OV:76
Thomas Hickey	AGE:27	PO:55	OV:72
*Kevin Connauton	AGE:26	PO:41	OV:72
*Stephen Johns	AGE:24	PO:59	OV:70
Dylan Olsen	AGE:27	PO:55	OV:69

*Mark Borowiecki	AGE:27	PO:30	OV:69
*Brandon Manning	AGE:26	PO:45	OV:68
*Derek Forbort	AGE:24	PO:63	OV:67
*Jyrki Jokipakka	AGE:25	PO:47	OV:67
*Matt Tennyson	AGE:26	PO:45	OV:67
*Zach Werenski	AGE:20	PO:95	OV:66
*Duncan Siemens	AGE:23	PO:71	OV:59
*David Musil	AGE:23	PO:52	OV:58
*Jacob Larsson	AGE:21	PO:95	OV:53

Marc-Andre Fleury	AGE:32	PO:33	OV:89
Peter Budaj	AGE:34	PO:5	OV:85
Alex Stalock	AGE:29	PO:29	OV:79
*Keith Kinkaid	AGE:27	PO:65	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
Alexandre Mallet	Flyers
Beau Starrett	Flyers
Brett Howden	Flyers
Calle Andersson	Flyers
Chris Calnan	Flyers
Cole Cassels	Flyers
Dalton Smith	Flyers
Dominik Masin	Flyers
Emil Molin	Flyers
Erik Karlsson	Flyers
Ethan Werek	Flyers
Filip Westerlund	Flyers
Jacob Peterson	Flyers
Jonas Rondbjerg	Flyers
Keegan Iverson	Flyers
Louie Caporusso	Flyers
Ludwig Blomstrand	Flyers
Michael Anderson	Flyers
Pavel Valentenko	Flyers
Pierre-Olivier Joseph	Flyers
Sam Steel	Flyers
Ville Pokka	Flyers

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6
13	PHI		PHI	PHI
14	PHI	PHI	PHI	PHI	PHI	PHI
15	PHI	PHI	PHI	PHI	PHI	PHI
16	PHI	PHI	PHI	PHI	PHI	PHI
17	PHI	PHI	PHI	PHI	PHI	PHI

[2018-05-21 20:51:05] - R.J. Umberger retired from Flyers
[2018-05-21 18:31:34] - Marc-Andre Bergeron retired from Flyers
[2018-05-15 11:31:59] - Keith Aucoin retired from Flyers
[2018-04-25 09:50:11] - Flyers didn't make playoff for year 12.
[2018-04-25 09:50:11] - Flyers didn't make playoff for year 12.
[2017-10-13 10:57:31] - Jacob Peterson has been added to Flyers.
[2017-10-13 10:38:21] - Michael Anderson has been added to Flyers.
[2017-10-06 10:13:51] - Jonas Rondbjerg has been added to Flyers.
[2017-10-01 15:42:01] - Filip Westerlund has been added to Flyers.
[2017-10-01 10:54:22] - Pierre-Olivier Joseph has been added to Flyers.
[2017-09-30 14:06:01] - Flyers hired Terry Murray for 600 000 $ for 3 year(s).
[2017-09-30 11:58:43] - TRADE : From Rangers to Flyers : Y:12-RND:5-NYR.
[2017-09-30 11:58:43] - TRADE : From Flyers to Rangers : Mark Stuart (75).
[2017-09-30 11:50:52] - TRADE : From Oilers to Flyers : Y:12-RND:3-EDM.
[2017-09-30 11:50:52] - TRADE : From Flyers to Oilers : Nick Schultz (75).
[2017-09-30 11:41:29] - TRADE : From Flyers to Capitals : Mark Barberio (66), Joni Ortio (74), Y:13-RND:5-PHI.
[2017-09-30 11:41:29] - TRADE : From Capitals to Flyers : Carl Gunnarsson (77).
[2017-09-30 11:41:27] - Carl Gunnarsson was added to Flyers.
[2017-09-30 11:34:32] - Marc-Andre Bergeron was added to Flyers.
[2017-09-30 11:34:26] - Mathieu Roy was added to Flyers.
[2017-09-30 11:17:08] - Torrey Mitchell was released.
[2017-09-30 11:17:08] - Flyers paid 0 $ to release Torrey Mitchell.
[2017-09-30 11:17:04] - Tanner Glass was released.
[2017-09-30 11:17:04] - Flyers paid 0 $ to release Tanner Glass.
[2017-08-12 17:15:52] - TRADE : From Flyers to Kings : Y:13-RND:2-PHI, Y:13-RND:6-PHI.
[2017-08-12 17:15:52] - TRADE : From Kings to Flyers : Matt Read (78).
[2017-08-12 17:15:50] - Matt Read was added to Flyers.
[2017-08-12 15:02:10] - Zachary Werenski has been deleted from Flyers.
[2017-08-12 15:02:06] - Matthew Tkachuk has been deleted from Flyers.
[2017-08-12 15:02:00] - JT Compher has been deleted from Flyers.
[2017-08-12 15:01:55] - Joseph Labate has been deleted from Flyers.
[2017-08-12 15:01:51] - Jacob Larsson has been deleted from Flyers.
[2017-08-12 15:01:46] - Artturi Lehkonen has been deleted from Flyers.
[2017-08-12 15:01:16] - Zach Werenski was added to Flyers.
[2017-08-12 15:01:10] - Matthew Tkachuk was added to Flyers.
[2017-08-12 15:01:01] - J.T. Compher was added to Flyers.
[2017-08-12 15:00:55] - Joseph Labate was added to Flyers.
[2017-08-12 15:00:51] - Jacob Larsson was added to Flyers.
[2017-08-12 15:00:45] - Artturi Lehkonen was added to Flyers.
[2017-07-28 18:11:15] - Martin Havlat retired from Flyers

[2018-05-21 20:51:05] R.J. Umberger retired from Flyers
[2018-05-21 18:33:33] Auto Lines Function has been run for Flyers.
[2018-05-21 18:33:29] David Musil of Flyers was sent down to farm.
[2018-05-21 18:33:25] Thomas Hickey of Flyers was sent to pro.
[2018-05-21 18:32:43] Auto Lines Function has been run for Flyers.
[2018-05-21 18:32:36] David Musil of Flyers was sent to pro.
[2018-05-21 18:32:27] Flyers roster errors : Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[2018-05-21 18:32:27] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-05-21 18:32:00] Flyers roster errors : Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[2018-05-21 18:32:00] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-05-21 18:31:38] Flyers roster errors : Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[2018-05-21 18:31:38] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2018-05-21 18:31:34] Marc-Andre Bergeron retired from Flyers
[2018-05-15 11:44:10] Auto Lines Function has been run for Flyers.
[2018-05-15 11:31:59] Keith Aucoin retired from Flyers

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

Pro Standing	Pro Team Roster	Pro Team Scoring	Pro Team PlayersInfo	Pro Team Lines	Pro Team Schedule	Team Finance
Team Prospects	Team History	Team Injury Suspension	Pro Team Stats	Pro Team Stats VS	Coaches	Waivers
Today Transactions	Transactions	Schedule	Pro Leaders	Pro Individual Leaders	Unassigned	Farm Standing
Farm Team Roster	Farm Team Scoring	Farm Team PlayersInfo	Farm Team Lines	Farm Team Schedule	Farm Team Stats	Farm Team StatsVS
Farm Leaders	Farm Individual Leaders	Teams And GM Info	Pro Power Ranking	Farm Power Ranking	Free Agents	Awards
Rerate Difference	Pro All Players Stats	Farm All Players Stats	Trade History

Année	R1	R2	R3	R4	R5	R6
13	PHI		PHI	PHI
14	PHI	PHI	PHI	PHI	PHI	PHI
15	PHI	PHI	PHI	PHI	PHI	PHI
16	PHI	PHI	PHI	PHI	PHI	PHI
17	PHI	PHI	PHI	PHI	PHI	PHI

Année	R1	R2	R3	R4	R5	R6
13	PHI		PHI	PHI
14	PHI	PHI	PHI	PHI	PHI	PHI
15	PHI	PHI	PHI	PHI	PHI	PHI
16	PHI	PHI	PHI	PHI	PHI	PHI
17	PHI	PHI	PHI	PHI	PHI	PHI

Année	R1	R2	R3	R4	R5	R6
13	PHI		PHI	PHI
14	PHI	PHI	PHI	PHI	PHI	PHI
15	PHI	PHI	PHI	PHI	PHI	PHI
16	PHI	PHI	PHI	PHI	PHI	PHI
17	PHI	PHI	PHI	PHI	PHI	PHI