Adirondack Phantoms
Domicile
Formation
Statistiques joueurs
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Blessure/Suspension

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Mike
	Division	Atlantic
	Conférence	Eastern
	Capitaine	Chris Pronger
	Assistant #1	Danny Briere
	Assistant #2	Alex Ovechkin
Informations de l’aréna
	Nom
	Capacité	18,000
	Assistance
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	26
	Limite contact	49 / 250
	Espoirs	36
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	75,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	2,824,408$
	Compte bancaire projeté	2,824,408$

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	Âge	Contrat	Salaire
1	Alex Ovechkin (A)	0		X			100.00	77	82	77	82	99	99	99	99	73	99	99	86	99	79	89	87	87	84	2	24	3	8,500,000$
2	Jeff Carter	0	X				100.00	83	74	93	96	88	99	99	99	96	89	97	87	97	79	80	87	87	84	2	24	5	8,125,000$
3	Jordan Staal	0	X				100.00	94	89	90	95	97	99	99	97	91	87	87	93	87	73	79	87	87	83	2	21	2	4,000,000$
4	Loui Eriksson	0		X			100.00	76	75	99	95	83	99	99	99	71	95	93	86	93	79	80	87	87	83	2	24	3	4,266,667$
5	Mike Richards	0	X				100.00	95	95	84	94	84	99	99	97	94	89	94	88	94	79	84	87	87	83	2	24	3	5,750,000$
6	Danny Briere (A)	0			X		100.00	79	80	84	99	77	99	99	99	74	88	92	77	92	95	99	87	87	82	2	32	3	6,500,000$
7	Nikolai Zherdev	0		X			100.00	83	64	99	93	92	99	99	92	71	93	90	79	90	74	85	87	87	81	2	24	3	295,000$
8	Patric Hornqvist	0			X		100.00	83	74	94	92	82	99	99	99	70	83	94	80	94	75	76	87	87	80	2	22	2	3,083,333$
9	Scott Hartnell	0		X			100.00	95	88	55	93	92	99	99	92	70	88	81	79	81	85	87	87	87	80	2	27	2	4,200,000$
10	Tyler Bozak	0	X				100.00	88	77	99	91	85	87	87	99	97	92	82	84	82	77	75	87	87	80	2	23	1	0$
11	Claude Giroux	0			X		100.00	82	96	99	93	75	99	99	95	85	89	83	83	83	73	73	87	87	79	2	21	2	1,600,000$
12	James van Riemsdyk	0		X			100.00	78	75	97	89	88	99	99	97	67	82	82	77	82	71	73	87	87	78	2	20	1	1,654,167$
13	Chris Pronger (C)	0				X	100.00	91	82	84	89	98	99	99	95	67	99	87	99	87	99	99	87	87	86	2	35	3	4,921,429$
14	Alexander Edler	0				X	100.00	88	75	93	91	94	99	99	92	67	96	77	88	77	77	82	87	87	82	2	23	2	3,250,000$
15	Fedor Tyutin	0				X	100.00	88	89	91	93	96	99	99	95	71	89	79	89	79	83	82	87	87	82	2	26	4	3,250,000$
16	Matt Carle	0				X	100.00	78	77	99	96	89	99	99	87	67	91	79	94	79	81	82	87	87	82	2	25	1	3,437,500$
17	Andrej Meszaros	0				X	100.00	92	75	91	90	97	99	99	84	67	78	79	85	79	79	81	87	87	80	2	24	3	4,000,000$
18	Braydon Coburn	0				X	100.00	93	75	90	90	97	99	99	83	67	81	77	88	77	79	81	87	87	80	2	24	1	3,200,000$
Rayé
1	Sean O'Donnell	0				X	100.00	90	96	85	76	99	95	95	78	67	79	73	91	73	99	99	87	87	80	2	38	0	0$
Équipe Mineure
1	Blair Betts	0	X				100.00	93	77	99	82	92	93	93	92	91	77	77	92	77	89	83	87	87	78	2	29	1	700,000$
2	Ian Laperriere	0			X		100.00	99	96	53	86	87	99	99	92	73	80	70	89	70	99	97	87	87	78	2	35	1	1,166,667$
3	Peter Regin	0	X				100.00	84	76	99	87	86	99	99	94	79	80	81	81	81	77	80	87	87	78	2	23	1	750,000$
4	Jody Shelley	0		X			100.00	97	95	52	73	99	90	90	92	71	75	69	77	69	97	88	87	87	74	2	33	2	1,100,000$
5	James Sheppard	0	X				100.00	91	98	92	88	92	88	88	80	78	71	69	80	69	73	75	87	87	73	2	21	1	750,000$
6	Vladimir Zharkov	0			X		100.00	79	77	99	90	87	81	81	85	70	80	67	77	67	73	74	87	87	72	2	21	1	750,000$
7	Marc Methot	0				X	100.00	99	92	86	85	99	88	88	84	67	75	71	87	71	79	79	87	87	78	2	24	2	1,250,000$
8	Brett Festerling	0				X	100.00	99	98	98	84	91	79	79	79	67	72	67	80	67	77	78	87	87	74	2	23	1	750,000$
9	Matt Walker	0				X	100.00	90	97	71	73	95	83	83	68	67	70	71	88	71	89	85	87	87	74	2	29	2	1,700,000$
10	Oskars Bartulis	0				X	100.00	82	74	93	93	82	82	82	79	67	79	69	79	69	75	75	87	87	74	2	22	2	600,000$
11	Clayton Stoner	0				X	100.00	80	99	82	79	98	66	66	70	67	81	67	80	67	79	81	87	87	71	2	24	1	750,000$
12	Sergei Kostitsyn	0		X			100.00	81	77	99	95	91	83	83	90	69	81	79	86	79	75	78	87	87	77	2	22	0	0$
13	Darroll Powe	0	X				100.00	99	94	86	83	91	93	93	92	76	73	78	85	78	79	80	87	87	76	2	24	0	0$
14	Daniel Carcillo	0		X			100.00	99	90	42	83	89	98	98	88	71	75	79	78	79	79	78	87	87	75	2	24	0	0$
15	Ryan Shannon	0			X		100.00	76	74	99	92	74	94	94	91	72	77	73	76	73	83	81	87	87	75	2	26	0	0$
16	Adam Burish	0			X		100.00	79	99	86	89	82	78	78	92	73	78	72	79	72	83	81	87	87	74	2	26	0	0$
17	Jon Kalinski	0		X			100.00	80	77	99	95	77	76	76	90	74	76	67	77	67	75	73	87	87	72	2	22	0	0$
18	Ville Leino	0		X			100.00	76	76	99	84	83	86	86	85	72	72	75	76	75	83	81	87	87	72	2	26	0	0$
19	Andreas Nodl	0			X		100.00	80	78	99	90	86	68	68	74	67	71	67	82	67	75	73	87	87	69	2	22	0	0$
20	David Laliberte	0			X		100.00	84	75	96	73	85	70	70	77	89	71	78	77	78	77	76	87	87	69	2	23	0	0$
21	Greg Moore	0	X				100.00	75	79	99	80	97	63	63	67	78	67	67	79	67	81	78	87	87	67	2	25	0	0$
22	Matt Niskanen	0				X	100.00	93	76	99	97	89	94	94	82	67	80	73	77	73	77	77	87	87	77	2	23	0	0$
23	Nicklas Grossman	0				X	100.00	99	76	95	85	99	88	88	73	67	75	67	87	67	79	79	87	87	77	2	24	0	0$
24	Dustin Kohn	0				X	100.00	85	77	99	92	88	78	78	87	67	80	67	78	67	75	76	87	87	74	2	22	0	0$

	MOYENNE D’ÉQUIPE						100.00	87	83	89	88	90	90	90	88	74	81	78	83	78	81	81	87	87	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	Âge	Contrat	Salaire
1	Michael Leighton	0	100.00	99	94	83	99	99	99	99	99	99	97	99	92	93	32	87	92	2	29	1	1,550,000$
2	Anders Lindback	0	100.00	93	87	93	97	94	94	94	94	94	93	94	67	67	87	87	86	2	21	1	750,000$
Rayé
1	Brian Boucher	0	100.00	94	91	92	99	98	96	96	98	98	95	97	98	96	32	87	92	2	33	0	0$
2	Ondrej Pavelec	0	100.00	90	95	99	99	96	94	94	96	96	96	95	83	86	82	87	90	2	22	0	0$
Équipe Mineure
1	Sergei Bobrovsky	0	100.00	57	52	67	97	97	95	77	72	72	72	67	67	67	18	87	74	2	21	2	750,000$
2	Johan Backlund	0	100.00	85	69	91	99	86	88	88	87	88	87	87	88	80	32	87	83	2	28	0	0$

	MOYENNE D’ÉQUIPE		100.00	86	81	88	98	95	94	91	91	91	90	90	83	82	47	87	86

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

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	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Alex Ovechkin	Flyers	LW	24	2000-11-03	RUS	No	233 Lbs	6 ft2	No	No	Assign Manually	No	No	3	2024-10-28	False	False	Pro & Farm	8,500,000$	8,500,000$	8,500,000$	8,500,000$	No	8,500,000$	8,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Alexander Edler	Flyers	D	23	2001-11-03	SWE	No	215 Lbs	6 ft3	No	No	Assign Manually	No	No	2		False	False	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	3,250,000$	No	3,250,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Anders Lindback	Flyers	G	21	2003-11-03	SWE	No	212 Lbs	6 ft6	No	No	Assign Manually	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	750,000$	750,000$	750,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Andrej Meszaros	Flyers	D	24	2000-11-03	SVK	No	223 Lbs	6 ft2	No	No	N/A	No	No	3		False	False	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Braydon Coburn	Flyers	D	24	2000-11-03	CAN	No	220 Lbs	6 ft5	No	No	N/A	No	No	1		False	False	Pro & Farm	3,200,000$	3,200,000$	3,200,000$	3,200,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Brian Boucher	Flyers	G	33	1991-11-03	USA	No	200 Lbs	6 ft2	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Chris Pronger	Flyers	D	35	1989-11-03	CAN	No	220 Lbs	6 ft6	No	No	N/A	No	No	3		False	False	Pro & Farm	4,921,429$	4,921,429$	4,921,429$	4,921,429$	No	4,921,429$	4,921,429$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Claude Giroux	Flyers	RW	21	2003-11-03	CAN	No	172 Lbs	5 ft11	No	No	N/A	No	No	2	2025-03-26	False	False	Pro & Farm	1,600,000$	1,600,000$	1,600,000$	1,600,000$	No	1,600,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Danny Briere	Flyers	RW	32	1992-11-03	CAN	No	179 Lbs	5 ft10	No	No	N/A	No	No	3		False	False	Pro & Farm	6,500,000$	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	6,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Fedor Tyutin	Flyers	D	26	1998-11-03	RUS	No	218 Lbs	6 ft3	No	No	Assign Manually	No	No	4	2025-03-26	False	False	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	3,250,000$	No	3,250,000$	3,250,000$	3,250,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
James van Riemsdyk	Flyers	LW	20	2004-11-03	USA	No	200 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	1,654,167$	1,654,167$	1,654,167$	1,654,167$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jeff Carter	Flyers	C	24	2000-11-03	CAN	No	200 Lbs	6 ft3	No	No	N/A	No	No	5	2025-03-26	False	False	Pro & Farm	8,125,000$	8,125,000$	8,125,000$	8,125,000$	No	8,125,000$	8,125,000$	8,125,000$	8,125,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Jordan Staal	Flyers	C	21	2003-11-03	CAN	No	220 Lbs	6 ft4	No	No	Assign Manually	No	No	2		False	False	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	4,000,000$	No	4,000,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Loui Eriksson	Flyers	LW	24	2000-11-03	SWE	No	189 Lbs	6 ft1	No	No	Assign Manually	No	No	3		False	False	Pro & Farm	4,266,667$	4,266,667$	4,266,667$	4,266,667$	No	4,266,667$	4,266,667$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Matt Carle	Flyers	D	25	1999-11-03	USA	No	205 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	3,437,500$	3,437,500$	3,437,500$	3,437,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Michael Leighton	Flyers	G	29	1995-11-03	CAN	No	186 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	1,550,000$	1,550,000$	1,550,000$	1,550,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mike Richards	Flyers	C	24	2000-11-03	CAN	No	195 Lbs	5 ft11	No	No	N/A	No	No	3		False	False	Pro & Farm	5,750,000$	5,750,000$	5,750,000$	5,750,000$	No	5,750,000$	5,750,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Nikolai Zherdev	Flyers	LW	24	2000-11-03	UKR	No	203 Lbs	6 ft2	No	No	N/A	No	No	3	2025-03-26	False	False	Pro & Farm	295,000$	295,000$	295,000$	295,000$	No	295,000$	295,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Ondrej Pavelec	Flyers	G	22	2002-11-03	CZE	No	220 Lbs	6 ft3	No	No	Assign Manually	No	No	0	2024-10-08	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Patric Hornqvist	Flyers	RW	22	2002-11-03	SWE	No	188 Lbs	5 ft11	No	No	Assign Manually	No	No	2		False	False	Pro & Farm	3,083,333$	3,083,333$	3,083,333$	3,083,333$	No	3,083,333$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Scott Hartnell	Flyers	LW	27	1997-11-03	CAN	No	210 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	4,200,000$	4,200,000$	4,200,000$	4,200,000$	No	4,200,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Sean O'Donnell	Flyers	D	38	1986-11-03	CAN	No	237 Lbs	6 ft2	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tyler Bozak	Flyers	C	23	2001-11-03	CAN	No	195 Lbs	6 ft1	No	No	Assign Manually	No	No	1	2025-03-26	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	25.48	206 Lbs	6 ft2	2.00	3,144,917$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
72,333,096$	61,741,429$	45,608,096$	11,375,000$	8,125,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex Ovechkin	Jeff Carter	Danny Briere	40	1	2	2
2	Loui Eriksson	Mike Richards	Patric Hornqvist	30	1	2	2
3	Nikolai Zherdev	Jordan Staal	Claude Giroux	20	1	2	2
4	Scott Hartnell	Tyler Bozak	Alex Ovechkin	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Chris Pronger	Fedor Tyutin	40	1	2	2
2	Alexander Edler	Matt Carle	30	1	2	2
3	Braydon Coburn	Andrej Meszaros	20	1	2	2
4	Chris Pronger	Fedor Tyutin	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex Ovechkin	Jeff Carter	Danny Briere	60	1	2	2
2	Loui Eriksson	Mike Richards	Patric Hornqvist	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Chris Pronger	Fedor Tyutin	60	1	2	2
2	Alexander Edler	Matt Carle	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Alex Ovechkin	Jeff Carter	60	1	2	2
2	Mike Richards	Loui Eriksson	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Chris Pronger	Fedor Tyutin	60	1	2	2
2	Alexander Edler	Matt Carle	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Alex Ovechkin	60	1	2	2	Chris Pronger	Fedor Tyutin	60	1	2	2
2	Jeff Carter	40	1	2	2	Alexander Edler	Matt Carle	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Alex Ovechkin	Jeff Carter	60	1	2	2
2	Mike Richards	Loui Eriksson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Chris Pronger	Fedor Tyutin	60	1	2	2
2	Alexander Edler	Matt Carle	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex Ovechkin	Jeff Carter	Danny Briere	Chris Pronger	Fedor Tyutin

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex Ovechkin	Jeff Carter	Danny Briere	Chris Pronger	Fedor Tyutin

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
James van Riemsdyk, Jordan Staal, Nikolai Zherdev	James van Riemsdyk, Jordan Staal	Nikolai Zherdev

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Braydon Coburn, Andrej Meszaros, Alexander Edler	Braydon Coburn	Andrej Meszaros, Alexander Edler

Tirs de pénalité
Alex Ovechkin, Jeff Carter, Mike Richards, Loui Eriksson, Jordan Staal

Gardien
#1 : Michael Leighton, #2 : Anders Lindback

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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

	Total												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%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	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 pénalités	Mises en échec	Buts en filet désert	Blanchissages
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 extérieurs
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%	0	0	0%	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%	0	0	0%	0	0	0%

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 matchs 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	20	200
Assistance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
31	0 - 0%	0$	0$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	72,333,096$	72,333,096$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	2,824,408$	2,824,408$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	75,000,000$	75,000,000$	-35,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Alex Ovechkin	AGE:24	PO:87	OV:84
Loui Eriksson	AGE:24	PO:87	OV:83
Nikolai Zherdev	AGE:24	PO:87	OV:81
Scott Hartnell	AGE:27	PO:87	OV:80
James van Riemsdyk	AGE:20	PO:87	OV:78
Sergei Kostitsyn	AGE:22	PO:87	OV:77
Daniel Carcillo	AGE:24	PO:87	OV:75
Jody Shelley	AGE:33	PO:87	OV:74
Jon Kalinski	AGE:22	PO:87	OV:72
Ville Leino	AGE:26	PO:87	OV:72

Jeff Carter	AGE:24	PO:87	OV:84
Jordan Staal	AGE:21	PO:87	OV:83
Mike Richards	AGE:24	PO:87	OV:83
Tyler Bozak	AGE:23	PO:87	OV:80
Blair Betts	AGE:29	PO:87	OV:78
Peter Regin	AGE:23	PO:87	OV:78
Darroll Powe	AGE:24	PO:87	OV:76
James Sheppard	AGE:21	PO:87	OV:73
Greg Moore	AGE:25	PO:87	OV:67

Danny Briere	AGE:32	PO:87	OV:82
Patric Hornqvist	AGE:22	PO:87	OV:80
Claude Giroux	AGE:21	PO:87	OV:79
Ian Laperriere	AGE:35	PO:87	OV:78
Ryan Shannon	AGE:26	PO:87	OV:75
Adam Burish	AGE:26	PO:87	OV:74
Vladimir Zharkov	AGE:21	PO:87	OV:72
Andreas Nodl	AGE:22	PO:87	OV:69
David Laliberte	AGE:23	PO:87	OV:69

Défense #1

Défense #2

Gardien

Chris Pronger	AGE:35	PO:87	OV:86
Alexander Edler	AGE:23	PO:87	OV:82
Fedor Tyutin	AGE:26	PO:87	OV:82
Matt Carle	AGE:25	PO:87	OV:82
Andrej Meszaros	AGE:24	PO:87	OV:80
Braydon Coburn	AGE:24	PO:87	OV:80
Sean O'Donnell	AGE:38	PO:87	OV:80
Marc Methot	AGE:24	PO:87	OV:78

Matt Niskanen	AGE:23	PO:87	OV:77
Nicklas Grossman	AGE:24	PO:87	OV:77
Brett Festerling	AGE:23	PO:87	OV:74
Dustin Kohn	AGE:22	PO:87	OV:74
Matt Walker	AGE:29	PO:87	OV:74
Oskars Bartulis	AGE:22	PO:87	OV:74
Clayton Stoner	AGE:24	PO:87	OV:71

Brian Boucher	AGE:33	PO:32	OV:92
Michael Leighton	AGE:29	PO:32	OV:92
Ondrej Pavelec	AGE:22	PO:82	OV:90
Anders Lindback	AGE:21	PO:87	OV:86
Johan Backlund	AGE:28	PO:32	OV:83
Sergei Bobrovsky	AGE:21	PO:18	OV:74

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Date de la Dernière Transaction	Lien
Adam Morrison	Flyers	0	0
Andreas Nodl	Flyers	0	0
Andrei Popov	Flyers	0	0
Andrew Rowe	Flyers	0	0
Ben Holmstrom	Flyers	0	0
Brad Phillips	Flyers	0	0
Brendan Ranford	Flyers	0	0
Brian Stewart	Flyers	0	0
Dave Labrecque	Flyers	0	0
Denis Bodrov	Flyers	0	0
Eric Wellwood	Flyers	0	0
Erik Gustafsson	Flyers	0	0
Garrett Klotz	Flyers	0	0
Jakub Kovar	Flyers	0	0
Joacim Eriksson	Flyers	0	0
Joonas Lehtivuori	Flyers	0	0
Kevin Marshall	Flyers	0	0
Luke Pither	Flyers	0	0
Marc-Andre Bourdon	Flyers	0	0
Michael Chaput	Flyers	0	0
Michael Parks	Flyers	0	0
Mike Testwuide	Flyers	0	0
Mike Zibanejad	Flyers	0	0
Nathan Beaulieu	Flyers	0	0
Nicholas Luuko	Flyers	0	0
Nicola Riopel	Flyers	0	0
Oliver Lauridsen	Flyers	0	0
Patrick Maroon	Flyers	0	0
Ricard Blidstrand	Flyers	0	0
Shane Harper	Flyers	0	0
Simon Bertilsson	Flyers	0	0
Stefan Legein	Flyers	0	0
Tye McGinn	Flyers	0	0
Tyler Hostetter	Flyers	0	0
Vladislav Namestnikov	Flyers	0	0
Zac Rinaldo	Flyers	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2011	Phi		Phi	Phi Tam		Phi	Phi
2012	Phi		Phi	Phi	Phi	Phi	Phi
2013	Phi	Phi	Phi	Phi	Phi	Phi	Phi
2014	Phi	Phi	Phi	Phi	Phi	Phi	Phi
2015	Phi	Phi	Phi	Phi	Phi	Phi	Phi
Choix au repêchage conditionnel

Blake Wheeler Available

Par Mat (Bruins) Le Thursday 7th November 2024 / 2:22pm

Looking to move Wheeler for a comparable Dman

Nouveau commentaire

Couple Vets on the block in Boston

Par Mat (Bruins) Le Tuesday 29th October 2024 / 10:58am

Boston is looking to move Marc Savard, and Marco Sturm

Nouveau commentaire

Flyers Historique de transactions

[3/26/2025 6:35:27 AM] - TRADE : From Bruins to Flyers : Clayton Stoner (71).
[3/26/2025 6:33:56 AM] - Fedor Tyutin was added to Flyers.
[3/26/2025 1:29:30 AM] - Tyler Bozak was added to Flyers.
[3/26/2025 1:26:16 AM] - Alexander Edler was added to Flyers.
[3/25/2025 5:29:15 AM] - Vladislav Namestnikov has been added to Flyers.
[3/25/2025 5:29:03 AM] - Nathan Beaulieu has been added to Flyers.
[3/25/2025 5:28:50 AM] - Mike Zibanejad has been added to Flyers.
[3/18/2025 11:19:10 AM] - Andy Murray contract with Flyers has ended.
[2/16/2025 10:58:33 PM] - Flyers was eliminated at round 1 of year 2010.
[2/16/2025 10:52:45 PM] - Adirondack Phantoms was eliminated at round 1 of year 2010.
[2/5/2025 11:37:25 PM] - New Record for Team's Most Shots Blocked (16) in 1 Game for Flyers!
[1/17/2025 11:24:41 PM] - New Record for Team's Most Points (16) in 1 Game for Flyers!
[1/17/2025 11:24:41 PM] - New Record for Team's Most Assists (10) in 1 Game for Flyers!
[1/17/2025 11:24:41 PM] - New Record for Team's Most Goals (6) in 1 Game for Flyers!
[1/17/2025 11:24:41 PM] - New Record for Team's Most Points (16) in 1 Game for Flyers!
[1/17/2025 11:24:41 PM] - New Record for Team's Most Assists (10) in 1 Game for Flyers!
[1/17/2025 11:24:41 PM] - New Record for Team's Most Goals (6) in 1 Game for Flyers!
[1/1/2025 11:56:07 PM] - New Record for Team's Most Hits (22) in 1 Game for Flyers!
[12/23/2024 2:53:30 AM] - New Record for Team's Most Penalties Minutes (18) in 1 Game for Flyers!
[12/10/2024 11:19:39 PM] - New Record for Team's Most Hits (20) in 1 Game for Flyers!
[11/15/2024 11:29:29 PM] - New Record for Team's Most Penalties Minutes (16) in 1 Game for Flyers!
[11/15/2024 11:29:29 PM] - New Record for Team's Most Points (12) in 1 Game for Flyers!
[11/15/2024 11:29:29 PM] - New Record for Team's Most Assists (8) in 1 Game for Flyers!
[11/13/2024 11:28:39 PM] - New Record for Team's Most Penalties Minutes (12) in 1 Game for Flyers!
[11/12/2024 11:17:56 PM] - New Record for Team's Most Shots Blocked (12) in 1 Game for Flyers!

Pas de blessure ou de suspension.

Flyers Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Flyers Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Flyers Statistiques de l'Équipe de Carrière

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	Total											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 Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Flyers Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Flyers
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: Mike \| Morale : 1 \| Moyenne d’équipe : 83