Ligue de Hockey Simulé du Saguenay

Phantoms
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	J.T. Miller		X			100.00	75	39	86	79	82	88	84	80	84	89	83	76	79	65	50	54	43	79	1
2	Jakub Voracek			X		100.00	77	32	84	78	83	86	88	86	80	82	81	67	77	70	60	32	43	78	1
3	Jeff Carter	X				100.00	75	49	74	77	77	75	76	80	77	79	87	68	77	86	98	21	43	78	1
4	Jordan Nolan	X				100.00	88	61	77	78	90	76	90	81	82	82	75	68	81	76	68	34	43	78	1
5	Drew Miller		X			100.00	72	29	74	81	73	86	76	81	71	82	76	75	73	87	85	17	43	77	1
6	Niclas Bergfors			X		100.00	75	34	83	81	79	84	76	81	70	73	86	63	86	72	67	25	43	76	1
7	Marcus Kruger			X		100.00	74	39	86	74	79	77	81	81	81	79	83	59	75	65	62	34	43	75	0
8	Brock Nelson		X			100.00	78	35	86	78	75	77	76	81	72	75	77	64	75	62	59	41	43	74	0
9	Chris Mcallister		X			100.00	81	42	76	75	73	78	69	78	51	79	71	78	64	77	63	17	43	74	0
10	Tyler Randell (R)			X		100.00	83	66	82	74	82	67	78	75	72	73	75	58	76	72	65	36	43	73	0
11	Jacob Trouba				X	100.00	82	53	79	78	87	82	75	76	61	79	71	83	66	58	46	56	43	78	1
12	Jeff Woywitka				X	100.00	78	42	82	71	76	75	77	81	65	81	59	80	66	93	79	14	43	77	1
13	Matt Smaby				X	100.00	83	47	77	78	76	73	77	80	63	73	76	77	64	85	74	18	43	77	1
14	Jonathan Ericsson				X	100.00	74	44	81	78	83	76	80	80	59	86	63	72	64	89	73	17	43	76	1
15	Nathan Beaulieu				X	100.00	77	40	83	79	75	78	82	78	69	84	69	75	70	67	54	46	43	76	1
16	Brian Lashoff				X	100.00	81	31	83	77	74	76	77	74	57	75	69	82	67	63	51	32	43	75	0
Rayé
1	Travis Zajac	X				100.00	75	42	86	79	80	80	75	81	73	78	81	68	74	84	79	22	43	77	1
2	Matthew Lombardi	X				100.00	73	43	78	74	68	67	73	84	75	68	68	77	73	81	80	14	43	73	0

	MOYENNE D'ÉQUIPE					100.00	78	43	81	77	78	78	78	80	70	79	75	72	73	75	67	29	43	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	Steve Mason	100.00	86	81	76	85	85	82	77	81	83	73	83	71	62	29	43	80	1
2	Ilya Sorokin	100.00	61	89	70	74	77	74	74	81	87	69	59	47	45	63	43	74	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	74	85	73	80	81	78	76	81	85	71	71	59	54	46	43	77

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Pat Quinn	82	83	87	73	99	88	37	CAN	69	1	2,500,000$

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
Brian Lashoff	Flyers	D	26	1990-01-01	No	212 Lbs	6 ft3	No	No	No	1	Pro Only	1,900,000$	1,900,000$	1,900,000$	1,900,000$	No
Brock Nelson	Flyers	LW	25	1991-01-01	No	206 Lbs	6 ft3	No	No	No	2	Pro Only	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	1,500,000$
Chris Mcallister	Flyers	LW	31	1985-01-01	No	250 Lbs	6 ft7	No	No	No	3	Pro Only	2,000,000$	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	2,000,000$
Drew Miller	Flyers	LW	32	1984-01-01	No	178 Lbs	6 ft2	No	No	No	2	Pro Only	3,250,000$	3,250,000$	3,250,000$	3,250,000$	No	2,750,000$
Ilya Sorokin	Flyers	G	20	1996-01-01	No	180 Lbs	6 ft2	No	No	No	3	Pro Only	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	1,750,000$	2,250,000$
J.T. Miller	Flyers	LW	23	1993-01-01	No	205 Lbs	6 ft1	No	No	No	1	Pro Only	3,200,000$	3,200,000$	3,200,000$	3,200,000$	No
Jacob Trouba	Flyers	D	22	1994-01-01	No	187 Lbs	6 ft2	No	No	No	2	Pro Only	2,750,000$	2,750,000$	2,750,000$	2,750,000$	No	3,000,000$
Jakub Voracek	Flyers	RW	27	1989-01-01	No	205 Lbs	6 ft1	No	No	No	2	Pro Only	5,500,000$	5,500,000$	5,500,000$	5,500,000$	No	6,000,000$
Jeff Carter	Flyers	C	31	1985-01-01	No	200 Lbs	6 ft3	No	No	No	3	Pro Only	5,000,000$	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$
Jeff Woywitka	Flyers	D	33	1983-01-01	No	224 Lbs	6 ft3	No	No	No	1	Pro Only	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No
Jonathan Ericsson	Flyers	D	32	1984-01-01	No	220 Lbs	6 ft4	No	No	No	2	Pro Only	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No	3,000,000$
Jordan Nolan	Flyers	C	27	1989-01-01	No	221 Lbs	6 ft3	No	No	No	3	Pro Only	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$	4,000,000$
Marcus Kruger	Flyers	RW	26	1990-01-01	No	181 Lbs	6 ft0	No	No	No	3	Pro Only	3,500,000$	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	3,500,000$
Matt Smaby	Flyers	D	32	1984-01-01	No	240 Lbs	6 ft4	No	No	No	2	Pro Only	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No	3,000,000$
Matthew Lombardi	Flyers	C	34	1982-01-01	No	195 Lbs	5 ft11	No	No	No	1	Pro Only	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No
Nathan Beaulieu	Flyers	D	24	1992-01-01	No	205 Lbs	6 ft2	No	No	No	1	Pro Only	1,750,000$	1,750,000$	1,750,000$	1,750,000$	No
Niclas Bergfors	Flyers	RW	29	1987-01-01	No	195 Lbs	5 ft11	No	No	No	1	Pro Only	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No
Steve Mason	Flyers	G	28	1988-01-01	No	211 Lbs	6 ft4	No	No	No	2	Pro Only	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$
Travis Zajac	Flyers	C	31	1985-01-01	No	200 Lbs	6 ft3	No	No	No	4	Pro Only	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$	4,000,000$	4,000,000$
Tyler Randell	Flyers	RW	25	1991-01-01	Yes	198 Lbs	6 ft1	No	No	No	1	Pro Only	1,000,000$	1,000,000$	1,000,000$	1,000,000$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	27.90	206 Lbs	6 ft2	2.00	2,917,500$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
58,350,000$	43,500,000$	20,750,000$	4,000,000$	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$	58,350,000$	50,600,000$	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$	20	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$	6,872,881$	6,872,881$

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

J.T. Miller	AGE:23	PO:54	OV:79
Drew Miller	AGE:32	PO:17	OV:77
Brock Nelson	AGE:25	PO:41	OV:74
Chris Mcallister	AGE:31	PO:17	OV:74
Michael Bournival (R)	AGE:24	PO:41	OV:72
Alex DeBrincat (R)	AGE:19	PO:79	OV:68
Morgan Klimchuk (R)	AGE:21	PO:49	OV:66
Erik Nystrom (R)	AGE:23	PO:38	OV:65
Brendan Leipsic (R)	AGE:22	PO:44	OV:62
A.J. Greer (R)	AGE:20	PO:50	OV:57
Brett Murray (R)	AGE:18	PO:73	OV:56

Jordan Nolan	AGE:27	PO:34	OV:78
Jeff Carter	AGE:31	PO:21	OV:78
Travis Zajac	AGE:31	PO:22	OV:77
Matthew Lombardi	AGE:34	PO:14	OV:73
Calle Jarnkrok (R)	AGE:25	PO:38	OV:72
Nick Shore (R)	AGE:24	PO:39	OV:67
Cristoval Nieves (R)	AGE:22	PO:46	OV:66
Lucas Wallmarkk (R)	AGE:20	PO:58	OV:65
David Kampf (R)	AGE:21	PO:58	OV:64
Laurent Dauphin (R)	AGE:21	PO:50	OV:61
Anthony Angello (R)	AGE:20	PO:51	OV:58
Cooper Marody (R)	AGE:20	PO:55	OV:55

Jakub Voracek	AGE:27	PO:32	OV:78
Niclas Bergfors	AGE:29	PO:25	OV:76
Marcus Kruger	AGE:26	PO:34	OV:75
Tyler Randell (R)	AGE:25	PO:36	OV:73
Tomas Kubalik	AGE:26	PO:36	OV:72
Travis Konecny (R)	AGE:19	PO:69	OV:70
Sven Andrighetto (R)	AGE:23	PO:48	OV:68
Nick Sorensen (R)	AGE:22	PO:49	OV:61
JC Lipon (R)	AGE:23	PO:42	OV:59

Défense #1

Défense #2

Gardien

Jacob Trouba	AGE:22	PO:56	OV:78
Matt Smaby	AGE:32	PO:18	OV:77
Jeff Woywitka	AGE:33	PO:14	OV:77
Nathan Beaulieu	AGE:24	PO:46	OV:76
Jonathan Ericsson	AGE:32	PO:17	OV:76
Brian Lashoff	AGE:26	PO:32	OV:75
Dylan Olsen (R)	AGE:25	PO:35	OV:73
Jake Dotchin (R)	AGE:22	PO:46	OV:71
Reid McNeill (R)	AGE:24	PO:39	OV:71

Ivan Provorov (R)	AGE:19	PO:76	OV:69
Mark Alt (R)	AGE:25	PO:31	OV:67
Blake Heinrich (R)	AGE:21	PO:48	OV:66
Rinat Valiev (R)	AGE:21	PO:56	OV:65
Devon Teows (R)	AGE:22	PO:51	OV:65
Brenden Kichton (R)	AGE:24	PO:35	OV:65
Mikko Lehtonen (R)	AGE:22	PO:49	OV:64
Riley Stillman (R)	AGE:18	PO:70	OV:55
Matt Kiersted (R)	AGE:18	PO:67	OV:55

Steve Mason	AGE:28	PO:29	OV:80
Ilya Sorokin	AGE:20	PO:63	OV:74
Anton Forsberg	AGE:24	PO:40	OV:72
Zachary Fucale	AGE:21	PO:50	OV:68
Jason Kasdorf	AGE:24	PO:41	OV:66

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 8:11:29 PM] - Travis Zajac was added to Flyers.
[2021-11-26 8:02:17 PM] - Matthew Lombardi was added to Flyers.
[2021-11-20 9:38:39 AM] - Phantoms hired Kevin Dineen for $500,000 for 4 year(s).
[2021-11-16 8:57:42 PM] - Ray Emery was released.
[2021-11-16 8:57:42 PM] - Flyers paid $0 to release Ray Emery.
[2021-11-16 8:57:32 PM] - Ryan Callahan was released.
[2021-11-16 8:57:32 PM] - Flyers paid $0 to release Ryan Callahan.
[2021-11-16 8:57:23 PM] - Matthew Lombardi was released.
[2021-11-16 8:57:23 PM] - Flyers paid $0 to release Matthew Lombardi.
[2021-11-16 8:57:14 PM] - Erik Christensen was released.
[2021-11-16 8:57:14 PM] - Flyers paid $0 to release Erik Christensen.
[2021-11-16 8:57:06 PM] - Victor Bartley was released.
[2021-11-16 8:57:06 PM] - Flyers paid $0 to release Victor Bartley.
[2021-11-16 8:56:55 PM] - Tyler Brenner was released.
[2021-11-16 8:56:55 PM] - Flyers paid $0 to release Tyler Brenner.
[2021-11-16 8:56:46 PM] - Scott Wedgewood was released.
[2021-11-16 8:56:46 PM] - Flyers paid $0 to release Scott Wedgewood.
[2021-11-16 8:56:40 PM] - Justin Kirkland was released.
[2021-11-16 8:56:40 PM] - Flyers paid $0 to release Justin Kirkland.
[2021-11-16 8:56:34 PM] - Brandon McMillan was released.
[2021-11-16 8:56:34 PM] - Flyers paid $0 to release Brandon McMillan.
[2021-09-26 10:02:12 AM] - Flyers hired Pat Quinn for $2,500,000 for 1 year(s).

[2021-11-26 8:11:29 PM] Travis Zajac was added to Flyers.
[2021-11-26 8:02:17 PM] Matthew Lombardi was added to Flyers.
[2021-11-20 9:38:39 AM] Phantoms hired Kevin Dineen for $500,000 for 4 year(s).
[2021-11-16 8:58:58 PM] Phantoms roster errors : Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 18 Dressed. 20 Required. Some errors will be automatically fixed.
[2021-11-16 8:58:58 PM] Flyers roster errors : Not enough Centers available in Pro Team! 2 Dressed. 3 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2021-11-16 8:57:42 PM] Ray Emery was released by Flyers.
[2021-11-16 8:57:42 PM] Flyers paid $0 to release Ray Emery.
[2021-11-16 8:57:32 PM] Ryan Callahan was released by Flyers.
[2021-11-16 8:57:32 PM] Flyers paid $0 to release Ryan Callahan.
[2021-11-16 8:57:23 PM] Matthew Lombardi was released by Flyers.
[2021-11-16 8:57:23 PM] Flyers paid $0 to release Matthew Lombardi.
[2021-11-16 8:57:14 PM] Erik Christensen was released by Flyers.
[2021-11-16 8:57:14 PM] Flyers paid $0 to release Erik Christensen.
[2021-11-16 8:57:06 PM] Victor Bartley was released by Flyers.
[2021-11-16 8:57:06 PM] Flyers paid $0 to release Victor Bartley.
[2021-11-16 8:56:55 PM] Tyler Brenner was released by Flyers.
[2021-11-16 8:56:55 PM] Flyers paid $0 to release Tyler Brenner.
[2021-11-16 8:56:46 PM] Scott Wedgewood was released by Flyers.
[2021-11-16 8:56:46 PM] Flyers paid $0 to release Scott Wedgewood.
[2021-11-16 8:56:40 PM] Justin Kirkland was released by Flyers.
[2021-11-16 8:56:40 PM] Flyers paid $0 to release Justin Kirkland.
[2021-11-16 8:56:34 PM] Brandon McMillan was released by Flyers.
[2021-11-16 8:56:34 PM] Flyers paid $0 to release Brandon McMillan.
[2021-10-20 7:38:40 PM] $6,872,881 was added to Flyers bank account.
[2021-10-20 7:38:30 PM] -$10,000,000 was added to Flyers bank account.
[2021-09-26 10:02:12 AM] Flyers hired Pat Quinn for $2,500,000 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

	Flyers
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Simon DeChamplain \| Morale : 40 \| Moyenne d'Équipe : 76