Lehigh Valley Phantoms
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	Philadelphia Flyers 6-6-2, 14pts	3	FINAL	2	Washington Capitals 6-7-5, 17pts

Team Stats
L1	Séquence	W2
2-4-2	Fiche domicile	1-5-2
4-2-0	Fiche visiteur	5-2-3
5-3-2	Derniers 10 matchs	4-4-2
2.57	Buts par match	2.61
3.14	Buts contre par match	3.17
21.21%	Pourcentage en avantage numérique	22.92%
73.17%	Pourcentage en désavantage numérique	83.33%

Pittsburgh Penguins
11-3-1, 23pts

FINAL

Philadelphia Flyers
6-6-2, 14pts

Team Stats
W7	Séquence	L1
6-2-0	Fiche domicile	2-4-2
5-1-1	Fiche visiteur	4-2-0
7-2-1	Derniers 10 matchs	5-3-2
3.20	Buts par match	2.57
2.33	Buts contre par match	3.14
22.95%	Pourcentage en avantage numérique	21.21%
90.00%	Pourcentage en désavantage numérique	73.17%

Philadelphia Flyers
6-6-2, 14pts

Jour 33

Tampa Bay Lightning
4-11-1, 9pts

Statistiques d’équipe
L1	Séquence	L3
2-4-2	Fiche domicile	2-5-0
4-2-0	Fiche visiteur	2-6-1
5-3-2	10 derniers matchs	2-7-1
2.57	Buts par match	1.50
3.14	Buts contre par match	1.50
21.21%	Pourcentage en avantage numérique	11.43%
73.17%	Pourcentage en désavantage numérique	73.47%

Philadelphia Flyers
6-6-2, 14pts

Jour 34

Pittsburgh Penguins
11-3-1, 23pts

Statistiques d’équipe
L1	Séquence	W7
2-4-2	Fiche domicile	6-2-0
4-2-0	Fiche visiteur	5-1-1
5-3-2	10 derniers matchs	7-2-1
2.57	Buts par match	3.20
3.14	Buts contre par match	3.20
21.21%	Pourcentage en avantage numérique	22.95%
73.17%	Pourcentage en désavantage numérique	90.00%

Philadelphia Flyers
6-6-2, 14pts

Jour 35

Anaheim Ducks
10-4-1, 21pts

Statistiques d’équipe
L1	Séquence	W3
2-4-2	Fiche domicile	4-4-0
4-2-0	Fiche visiteur	6-0-1
5-3-2	10 derniers matchs	8-2-0
2.57	Buts par match	3.13
3.14	Buts contre par match	3.13
21.21%	Pourcentage en avantage numérique	12.90%
73.17%	Pourcentage en désavantage numérique	86.67%

Meneurs d'équipe
	Buts Noah Hanifin 8	Passes Andrew Mangiapane 8

	Points Andrew Mangiapane 15	Plus/Moins Andrew Mangiapane 5

	Victoires Vitek Vanecek 6	Pourcentage d’arrêts Vitek Vanecek 0.89

Statistiques d’équipe
Buts pour 36 2.57 GFG	Tirs pour 324 23.14 Avg	Pourcentage en avantage numérique 21.2% 7 GF	Début de zone offensive 34.6%
Buts contre 44 3.14 GAA	Tirs contre 386 27.57 Avg	Pourcentage en désavantage numérique 73.2%% 11 GA	Début de la zone défensive 39.7%

Informations de l'équipe
	Directeur général
	Entraîneur	Peter Laviolette
	Division	Metropolitan Division
	Conférence	Eastern Conference
	Capitaine	Ryan Suter
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	19,543
	Assistance	13,680
	Billets de saison	13,680
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	29
	Limite contact	50 / 65
	Espoirs	48
Plafond salarial
	Cap Salarial de la Saison estimé	53,620,506$
	Plafond salarial disponible	34,379,494$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	24
Finance
	Revenu annuel à ce jour	23,011,264$
	Dépenses annuelles à ce jour	12,563,440$
	Revenus de la saison estimés	94,921,464$
	Dépenses de la saison estimées	42,007,058$
	Compte bancaire actuel	394,179,792$
	Compte bancaire projeté	445,525,598$

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	Frank Vatrano	0	X	X	X		100.00	74	40	73	86	79	87	99	80	55	69	83	78	84	68	78	0	52	79	0	30	3	3,650,000$
2	Andrew Mangiapane	0	X	X			100.00	62	40	87	83	72	82	91	73	55	72	66	72	76	60	72	0	53	73	0	28	2	5,800,000$
3	Evgeny Dadanov	0		X	X		100.00	53	35	95	80	73	76	62	63	55	64	68	67	74	88	83	0	53	70	0	35	1	2,250,000$
4	Robby Fabbri	0	X	X	X		100.00	60	35	87	81	72	75	82	64	78	64	70	66	75	60	69	0	53	69	0	28	3	4,000,000$
5	Daniel Sprong	0			X		100.00	49	35	92	81	78	73	92	66	55	70	68	59	75	56	66	0	53	69	0	27	2	975,000$
6	Nick Cousins	0	X				100.00	72	47	76	78	74	74	83	55	55	59	60	73	68	72	74	0	53	68	0	31	4	775,000$
7	A.J. Greer (R)	0		X			100.00	68	56	84	76	82	66	71	51	55	59	60	74	67	60	65	0	53	66	0	27	4	850,000$
8	Marc McLaughlin (R)	0	X				100.00	71	35	99	85	89	75	60	65	55	41	74	61	76	48	63	0	53	66	0	25	4	775,000$
9	Kevin Rooney	0	X				97.00	69	35	97	76	75	72	60	50	64	52	56	72	65	72	73	0	53	65	0	31	4	775,000$
10	Andy Andreoff	0	X	X			100.00	53	51	61	65	63	71	71	66	62	64	66	53	66	65	57	0	53	64	0	33	2	775,000$
11	Brendan Gaunce	0	X				100.00	66	35	93	77	89	73	60	51	67	50	51	63	64	68	72	0	43	63	0	30	2	775,000$
12	Noah Hanifin	0				X	100.00	65	35	91	87	78	98	97	80	40	76	69	87	70	56	78	0	53	82	0	27	1	4,950,000$
13	Ryan Suter (C)	0				X	100.00	58	35	90	77	79	88	99	66	40	64	52	85	59	99	97	0	53	79	1	39	1	7,538,462$
14	Justin Schultz	0				X	100.00	48	35	91	82	71	83	85	68	40	68	60	71	63	84	84	0	53	73	0	34	4	775,000$
15	Brayden Pachal (R)	0				X	100.00	77	43	73	78	81	79	60	56	40	59	53	81	56	48	65	0	43	71	0	25	4	775,000$
16	Chris Wideman	0				X	100.00	65	56	59	74	72	83	84	71	40	69	62	65	69	79	69	0	53	71	0	34	4	775,000$
17	Dakota Mermis	0				X	100.00	55	44	81	78	75	78	60	58	40	59	56	77	58	68	74	0	53	70	0	30	2	775,000$
18	Justin Holl	0				X	100.00	58	35	84	78	75	80	60	54	40	58	47	67	54	76	79	0	69	68	0	32	4	775,000$
Rayé
1	Greg McKegg	0	X	X			100.00	73	35	63	64	66	52	63	62	63	43	56	67	41	76	76	0	46	62	0	32	2	775,000$
Équipe Mineure
1	Artem Anisimov	0	X	X			100.00	56	40	71	62	62	69	69	62	53	61	60	57	62	70	61	0	59	62	0	36	2	775,000$
2	Gabriel Landeskog	0		X	X		100.00	73	40	45	66	71	55	57	61	42	41	69	61	44	76	76	0	61	62	0	31	10	7,000,000$
3	Vince Hinostroza	0	X	X	X		100.00	50	35	92	77	71	68	60	50	55	53	50	57	63	68	70	0	62	60	0	30	3	3,250,000$
4	Kyle Rau	0	X				100.00	51	68	61	70	63	50	57	56	45	45	40	68	41	76	76	0	63	58	0	31	2	775,000$
5	Josh Dunne (R)	0	X				100.00	71	80	47	50	64	58	56	66	43	67	44	65	48	52	52	0	66	58	0	25	4	775,000$
6	Kristian Reichel (R)	0	X				100.00	37	40	60	57	57	60	64	61	47	62	58	63	44	52	52	0	62	58	0	26	4	775,000$
7	Oskar Lindblom	0		X			100.00	41	35	99	75	75	73	60	50	55	41	41	57	60	60	68	0	62	57	0	28	4	775,000$
8	Charles Hudon	0		X			100.00	66	61	69	54	68	61	69	60	55	70	41	40	45	68	68	0	63	57	0	30	4	775,000$
9	David Gust	0			X		100.00	74	63	62	51	63	46	63	64	64	59	44	50	52	68	68	0	62	57	0	30	4	775,000$
10	Lukas Rousek (R)	0			X		100.00	42	35	99	76	64	70	60	50	55	52	47	56	62	48	61	0	62	57	0	25	2	775,000$
11	Joona Luoto (R)	0		X			100.00	68	78	47	61	66	52	53	51	61	65	41	57	60	56	56	0	68	56	0	27	4	775,000$
12	CJ Suess	0		X			100.00	56	45	56	46	66	63	60	50	52	67	42	46	44	68	68	0	62	55	0	30	4	775,000$
13	Keegan Iverson	0			X		100.00	54	35	75	77	56	69	70	48	49	46	52	49	46	60	48	0	63	55	0	28	4	775,000$
14	Graham McPhee (R)	0		X			100.00	37	35	45	50	59	57	47	53	51	53	61	57	58	52	52	0	62	54	0	26	4	775,000$
15	Mike Hardman (R)	0		X			100.00	68	67	51	52	66	57	58	60	40	53	50	40	42	48	48	0	62	53	0	25	4	775,000$
16	Ondrej Pavel (R)	0	X				100.00	40	35	74	74	74	61	60	50	55	41	41	50	60	45	54	0	62	53	0	24	4	870,000$
17	Tim Berni	0				X	100.00	70	52	70	73	76	80	70	68	40	61	59	67	67	53	50	0	68	68	0	24	1	925,000$
18	Jacob MacDonald	0				X	100.00	55	47	82	79	80	73	60	57	40	54	67	61	61	72	74	0	59	66	0	31	2	775,000$
19	Filip Roos (R)	0				X	100.00	50	35	99	76	75	79	60	50	40	41	38	50	49	48	65	0	63	59	0	25	4	925,000$
20	Colton White (R)	0				X	100.00	49	42	57	70	62	53	47	51	65	64	42	61	41	56	56	0	68	58	0	27	1	775,000$
21	Terrance Amorosa	0				X	100.00	61	35	75	68	55	55	68	48	54	51	50	52	40	73	58	0	64	58	0	29	4	775,000$
22	Chase Priskie (R)	0				X	100.00	60	37	66	65	63	51	51	64	65	61	47	46	47	60	60	0	62	57	0	28	2	775,000$
23	Calle Sjalin (R)	0				X	100.00	46	58	63	58	61	52	46	60	49	65	67	45	53	48	48	0	65	56	0	25	1	855,000$
24	Santtu Kinnunen (R)	0				X	100.00	44	39	66	45	48	53	65	60	60	49	55	55	54	48	48	0	41	52	0	25	1	855,000$
25	Hubert Labrie	0				X	100.00	48	45	41	45	43	48	43	45	25	45	45	45	25	54	54	0	39	46	0	33	1	775,000$
26	Kurtis MacDermid	0				X	100.00	66	81	58	73	92	58	60	50	40	55	53	70	54	68	65	0	55	66	0	30	4	775,000$

	MOYENNE D’ÉQUIPE						99.93	58	45	73	70	70	67	66	59	51	57	55	61	57	63	66	0	57	63

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	Vitek Vanecek	0	100.00	85	80	85	86	81	88	86	82	84	87	73	60	58	0	57	81	0	28	2	3,400,000$
2	Malcolm Subban	0	100.00	80	65	74	93	73	69	74	79	74	75	74	70	46	0	57	74	0	30	1	775,000$
Rayé
Équipe Mineure
1	Matt Tomkins	0	100.00	83	65	75	89	71	70	75	74	75	75	72	67	46	0	58	73	0	30	3	775,000$
2	Hunter Shepard	0	100.00	82	65	74	91	67	69	75	70	73	75	60	64	45	0	67	72	0	28	4	775,000$
3	Jett Alexander (R)	0	100.00	62	70	57	48	70	65	58	63	47	58	63	53	64	0	45	59	0	24	4	775,000$

	MOYENNE D’ÉQUIPE		100.00	78	69	73	81	72	72	74	74	71	74	68	63	52	0	57	72

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Laviolette	80	80	80	80	80	80	80	USA	65	10	950,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	S1	S2	S3
1	Andrew Mangiapane	Philadelphia Flyers	C/LW	14	7	8	15	5	6	23	19	47	16	25	14.89%	6	322	23.03	2	2	4	4	26	0	31	3	0	27.59%	29	23	7	0	0.93	1	2	2	1	2
2	Noah Hanifin	Philadelphia Flyers	D	14	8	4	12	0	14	14	22	25	10	15	32.00%	23	388	27.78	4	1	5	6	31	0	33	1	0	0%	0	9	19	1	0.62	0	0	1	1	0
3	Daniel Sprong	Philadelphia Flyers	RW	14	4	8	12	2	0	17	19	30	13	19	13.33%	4	261	18.66	0	3	3	5	23	1	10	0	1	46.15%	13	19	4	0	0.92	1	2	0	1	0
4	Evgeny Dadanov	Philadelphia Flyers	LW/RW	14	4	6	10	1	0	14	17	36	11	9	11.11%	8	307	21.95	1	1	2	5	26	0	18	0	1	52.17%	23	9	6	1	0.65	0	1	0	1	3
5	Robby Fabbri	Philadelphia Flyers	C/LW/RW	14	3	6	9	4	4	18	26	40	8	20	7.50%	4	256	18.30	0	1	1	2	23	0	6	1	0	57.07%	184	6	7	0	0.70	0	0	0	0	0
6	Frank Vatrano	Philadelphia Flyers	C/LW/RW	11	3	5	8	2	10	24	18	37	12	20	8.11%	4	209	19.09	0	0	0	1	13	0	19	0	1	42.78%	194	16	5	0	0.76	0	1	0	1	0
7	A.J. Greer	Philadelphia Flyers	LW	14	2	5	7	4	8	14	21	14	4	6	14.29%	7	247	17.71	0	2	2	2	23	0	0	0	0	33.33%	12	3	5	0	0.56	0	0	0	0	0
8	Kevin Rooney	Philadelphia Flyers	C	14	1	5	6	1	0	13	12	4	1	4	25.00%	2	186	13.30	0	1	1	0	14	0	13	0	0	40.00%	200	1	2	0	0.64	0	0	0	0	1
9	Justin Schultz	Philadelphia Flyers	D	14	0	4	4	-4	0	4	20	10	4	2	0%	10	280	20.07	0	0	0	0	20	0	22	0	0	0%	0	2	9	0	0.28	0	0	0	0	0
10	Ryan Suter	Philadelphia Flyers	D	14	0	3	3	1	4	12	29	11	7	4	0%	13	386	27.61	0	2	2	2	31	0	34	0	0	0%	0	3	18	0	0.16	0	0	0	0	0
11	Brayden Pachal	Philadelphia Flyers	D	14	0	3	3	-5	18	19	13	8	3	2	0%	18	263	18.84	0	0	0	2	19	0	14	0	0	0%	0	4	9	0	0.23	0	0	0	0	0
12	Nick Cousins	Philadelphia Flyers	C	14	1	0	1	-7	0	21	21	12	5	7	8.33%	3	185	13.25	0	0	0	0	0	0	13	0	0	51.19%	84	1	6	0	0.11	1	1	0	0	0
13	Andy Andreoff	Philadelphia Flyers	C/LW	14	1	0	1	-9	8	9	9	13	3	14	7.69%	3	164	11.73	0	0	0	0	0	0	0	0	0	50.00%	2	5	0	0	0.12	0	0	0	0	1
14	Marc McLaughlin	Philadelphia Flyers	C	14	1	0	1	-11	0	12	19	28	8	18	3.57%	5	216	15.46	0	0	0	0	0	0	0	0	0	47.62%	42	10	2	0	0.09	0	0	0	0	0
15	Chris Wideman	Philadelphia Flyers	D	14	0	1	1	-1	6	10	11	6	1	4	0%	7	180	12.86	0	0	0	0	1	0	0	0	0	0%	0	0	0	0	0.11	0	0	0	0	0
16	Greg McKegg	Philadelphia Flyers	C/LW	10	0	0	0	-3	0	7	2	0	0	1	0%	0	59	5.90	0	0	0	0	1	0	2	0	0	50.00%	2	0	1	0	0	0	0	0	0	0
17	Brendan Gaunce	Philadelphia Flyers	C	14	0	0	0	-1	0	3	3	0	0	2	0%	0	57	4.12	0	0	0	0	1	0	0	0	0	40.00%	5	0	2	0	0	0	0	0	0	0
18	Dakota Mermis	Philadelphia Flyers	D	14	0	0	0	0	2	5	12	3	4	1	0%	4	192	13.75	0	0	0	0	0	0	13	0	0	0%	0	1	9	0	0	0	0	0	0	0
19	Justin Holl	Philadelphia Flyers	D	7	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.24	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				252	35	58	93	-21	80	239	293	324	110	173	10.80%	121	4168	16.54	7	13	20	29	261	1	236	5	3	46.20%	790	112	111	2	0.45	3	7	3	5	7

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	PS %	PSA	ST	BG	S1	S2
1	Vitek Vanecek	Philadelphia Flyers	14	6	6	2	0.890	3.00	800	0	1	40	364	158	1	0.714	7	14	0	1	1
2	Malcolm Subban	Philadelphia Flyers	2	0	0	0	0.864	3.75	48	2	0	3	22	12	0	0	0	0	14	0	0
Statistiques d’équipe totales ou en moyenne			16	6	6	2	0.889	3.04	848	2	1	43	386	170	1		7	14	14	1	1

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	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	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	Lien
A.J. Greer	Philadelphia Flyers	LW	27	1996-12-14	Yes	208 Lbs	6 ft3	No	No	Prospect		No	No	4	2024-07-05	False	False	Pro & Farm	850,000$	850,000$	652,899$	No	850,000$	850,000$	850,000$	-	-	-	-	-	-	850,000$	850,000$	850,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Andrew Mangiapane (contrat à 1 volet)	Philadelphia Flyers	C/LW	28	1996-04-04	No	184 Lbs	5 ft10	No	No	N/A		No	Yes	2		False	False	Pro & Farm	5,800,000$	5,800,000$	4,455,072$	No	5,800,000$	-	-	-	-	-	-	-	-	5,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Andy Andreoff	Philadelphia Flyers	C/LW	33	1991-05-17	No	201 Lbs	6 ft2	No	No	N/A		No	Yes	2		False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Brayden Pachal	Philadelphia Flyers	D	25	1999-08-23	Yes	203 Lbs	6 ft2	No	No	Draft		No	No	4	2024-07-05	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Brendan Gaunce	Philadelphia Flyers	C	30	1994-03-25	No	219 Lbs	6 ft3	No	No	N/A		No	Yes	2		False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Chris Wideman (contrat à 1 volet)	Philadelphia Flyers	D	34	1990-01-07	No	181 Lbs	5 ft10	No	No	Assign Manually		No	Yes	4	2024-08-01	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Dakota Mermis	Philadelphia Flyers	D	30	1994-01-05	No	195 Lbs	6 ft0	No	No	N/A		No	Yes	2		False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Daniel Sprong	Philadelphia Flyers	RW	27	1997-03-17	No	202 Lbs	6 ft0	No	No	N/A		No	Yes	2	2024-07-21	False	False	Pro & Farm	975,000$	975,000$	748,913$	No	975,000$	-	-	-	-	-	-	-	-	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Evgeny Dadanov (contrat à 1 volet)	Philadelphia Flyers	LW/RW	35	1989-03-12	No	189 Lbs	5 ft11	No	No	Trade	2024-05-16	No	Yes	1	2024-01-16	False	False	Pro & Farm	2,250,000$	2,250,000$	1,728,261$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Frank Vatrano (contrat à 1 volet)	Philadelphia Flyers	C/LW/RW	30	1994-03-14	No	197 Lbs	5 ft11	No	No	N/A		No	No	3		False	False	Pro & Farm	3,650,000$	3,650,000$	2,803,623$	No	3,650,000$	3,650,000$	-	-	-	-	-	-	-	3,650,000$	3,650,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Greg McKegg	Philadelphia Flyers	C/LW	32	1992-06-17	No	195 Lbs	6 ft0	No	No	N/A		No	Yes	2		False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Justin Holl	Philadelphia Flyers	D	32	1992-01-30	No	197 Lbs	6 ft3	No	No	Assign Manually		No	No	4	2024-08-01	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	3,400,000$	3,400,000$	-	-	-	-	No	No	No	-	-	-	-	-	-
Justin Schultz (contrat à 1 volet)	Philadelphia Flyers	D	34	1990-07-06	No	190 Lbs	6 ft2	No	No	Assign Manually	2024-01-18	No	Yes	4	2024-08-01	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Kevin Rooney	Philadelphia Flyers	C	31	1993-05-21	No	190 Lbs	6 ft2	No	No	Assign Manually		No	Yes	4	2024-08-01	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Malcolm Subban	Philadelphia Flyers	G	30	1993-12-21	No	215 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	775,000$	775,000$	595,290$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Marc McLaughlin	Philadelphia Flyers	C	25	1999-07-26	Yes	203 Lbs	6 ft0	No	No	Assign Manually		No	No	4	2024-08-01	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	950,000$	950,000$	-	-	-	-	No	No	No	-	-	-	-	-	-
Nick Cousins	Philadelphia Flyers	C	31	1993-07-20	No	192 Lbs	5 ft11	No	No	Assign Manually		No	Yes	4	2024-08-01	False	False	Pro & Farm	775,000$	775,000$	595,290$	No	775,000$	775,000$	775,000$	-	-	-	-	-	-	775,000$	775,000$	775,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Noah Hanifin (contrat à 1 volet)	Philadelphia Flyers	D	27	1997-01-25	No	207 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	4,950,000$	4,950,000$	3,802,174$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Robby Fabbri (contrat à 1 volet)	Philadelphia Flyers	C/LW/RW	28	1996-01-22	No	185 Lbs	5 ft11	No	No	Trade	2024-05-16	No	Yes	3		False	False	Pro & Farm	4,000,000$	4,000,000$	3,072,464$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	4,000,000$	4,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Ryan Suter (contrat à 1 volet)	Philadelphia Flyers	D	39	1985-01-21	No	205 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	7,538,462$	7,538,462$	5,790,413$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Vitek Vanecek (contrat à 1 volet)	Philadelphia Flyers	G	28	1996-01-09	No	187 Lbs	6 ft1	No	No	N/A		No	Yes	2	2024-07-21	False	False	Pro & Farm	3,400,000$	3,400,000$	2,611,594$	No	3,400,000$	-	-	-	-	-	-	-	-	3,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	30.29	197 Lbs	6 ft1	2.67	2,033,974$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
42,713,462$	27,200,000$	13,925,000$	6,275,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Andrew Mangiapane	Kevin Rooney	Evgeny Dadanov	40	1	2	2
2	A.J. Greer	Robby Fabbri	Daniel Sprong	30	1	2	2
3	Andy Andreoff	Nick Cousins	Marc McLaughlin	20	1	2	2
4	Frank Vatrano	Marc McLaughlin	Brendan Gaunce	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Noah Hanifin	Ryan Suter	40	1	2	2
2	Justin Schultz	Brayden Pachal	30	1	2	2
3	Chris Wideman	Dakota Mermis	20	1	2	2
4	Noah Hanifin	Ryan Suter	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Andrew Mangiapane	Kevin Rooney	Evgeny Dadanov	60	1	2	2
2	A.J. Greer	Robby Fabbri	Daniel Sprong	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Noah Hanifin	Ryan Suter	60	1	2	2
2	Justin Schultz	Brayden Pachal	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Kevin Rooney	Andrew Mangiapane	60	1	2	2
2	Evgeny Dadanov	Daniel Sprong	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Noah Hanifin	Ryan Suter	60	1	2	2
2	Justin Schultz	Brayden Pachal	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Evgeny Dadanov	60	1	2	2	Noah Hanifin	Ryan Suter	60	1	2	2
2	Andrew Mangiapane	40	1	2	2	Justin Schultz	Brayden Pachal	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Robby Fabbri	Andrew Mangiapane	60	1	2	2
2	Evgeny Dadanov	Daniel Sprong	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Noah Hanifin	Ryan Suter	60	1	2	2
2	Justin Schultz	Brayden Pachal	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Andrew Mangiapane	Kevin Rooney	Evgeny Dadanov	Noah Hanifin	Ryan Suter

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Andrew Mangiapane	Kevin Rooney	Evgeny Dadanov	Noah Hanifin	Ryan Suter

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Kevin Rooney, Andrew Mangiapane, Nick Cousins	Kevin Rooney, Evgeny Dadanov	Nick Cousins

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Chris Wideman, Dakota Mermis, Justin Schultz	Chris Wideman	Dakota Mermis, Justin Schultz

Tirs de pénalité
Nick Cousins, Andrew Mangiapane, Evgeny Dadanov, Daniel Sprong, Robby Fabbri

Gardien
#1 : Vitek Vanecek, #2 : Malcolm Subban

Lignes d’attaque personnalisées en prolongation
Frank Vatrano, Andrew Mangiapane, Evgeny Dadanov, Daniel Sprong, Robby Fabbri, Nick Cousins, Nick Cousins, Marc McLaughlin, A.J. Greer, Kevin Rooney, Andy Andreoff

Lignes de défense personnalisées en prolongation
Noah Hanifin, Ryan Suter, Justin Schultz, Brayden Pachal, Chris Wideman

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
1	Carolina Hurricanes	3	0	1	0	0	0	1	1	8	12	-4	2	0	0	0	0	0	1	1	8	8	0	1	0	1	0	0	0	0	0	0	4	-4	3	0.500	8	10	18	0	0	0	2	5	2	71	22	18	28	9	97	35	12	47	6	0	0.00%	6	3	50.00%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	54	28	80	28	54	26
2	Columbus Blue Jackets	2	1	1	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	0	3	2	0.500	5	10	15	0	1	0	1	4	0	44	10	10	24	0	40	22	8	35	4	1	25.00%	4	1	75.00%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	39	19	40	18	40	21
3	New Jersey Devils	2	0	2	0	0	0	0	0	3	11	-8	2	0	2	0	0	0	0	0	3	11	-8	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	1	0	2	0	47	9	19	19	0	53	13	8	26	4	0	0.00%	4	1	75.00%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	36	19	45	19	38	18
4	New York Islanders	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	0	2	1	0	31	6	13	12	0	21	4	2	9	3	1	33.33%	1	0	100.00%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	19	10	21	9	18	9
5	New York Rangers	2	1	0	0	0	1	0	0	4	3	1	1	0	0	0	0	1	0	0	1	2	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	4	6	10	0	0	2	0	2	0	45	14	15	16	0	69	19	12	37	3	1	33.33%	6	0	100.00%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	36	18	49	17	34	16
6	Pittsburgh Penguins	2	0	2	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	6	10	16	0	0	1	4	1	0	43	11	22	10	0	62	16	30	37	8	2	25.00%	15	5	66.67%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	36	17	47	21	36	17
7	Washington Capitals	2	1	0	0	1	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	1	0	0	0	3	2	1	4	1.000	7	11	18	0	0	0	2	4	1	43	11	15	16	1	44	12	10	48	5	2	40.00%	5	1	80.00%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	39	20	41	19	38	19
	Total	14	4	6	0	1	1	1	1	36	44	-8	8	1	4	0	0	1	1	1	20	30	-10	6	3	2	0	1	0	0	0	16	14	2	14	0.500	36	58	94	0	1	4	11	19	3	324	83	112	125	10	386	121	82	239	33	7	21.21%	41	11	73.17%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	263	134	326	134	261	128
	_Since Last GM Reset	14	4	6	0	1	1	1	1	36	44	-8	8	1	4	0	0	1	1	1	20	30	-10	6	3	2	0	1	0	0	0	16	14	2	14	0.500	36	58	94	0	1	4	11	19	3	324	83	112	125	10	386	121	82	239	33	7	21.21%	41	11	73.17%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	263	134	326	134	261	128
	_Vs Conference	14	4	6	0	1	1	1	1	36	44	-8	8	1	4	0	0	1	1	1	20	30	-10	6	3	2	0	1	0	0	0	16	14	2	14	0.500	36	58	94	0	1	4	11	19	3	324	83	112	125	10	386	121	82	239	33	7	21.21%	41	11	73.17%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	263	134	326	134	261	128
	_Vs Division	14	4	6	0	1	1	1	1	36	44	-8	8	1	4	0	0	1	1	1	20	30	-10	6	3	2	0	1	0	0	0	16	14	2	14	0.500	36	58	94	0	1	4	11	19	3	324	83	112	125	10	386	121	82	239	33	7	21.21%	41	11	73.17%	0	135	270	50.00%	135	310	43.55%	95	200	47.50%	263	134	326	134	261	128

			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
14	14	L1	36	58	94	324	386	121	82	239	0	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	4	6	1	1	1	1	36	44

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	1	4	0	1	1	1	20	30

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	2	1	0	0	0	16	14

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
5	3	0	1	0	1

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
33	7	21.21%	41	11	73.17%	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
83	112	125	10	4	11	19	3

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
135	270	50.00%	135	310	43.55%	95	200	47.50%

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
263	134	326	134	261	128

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
11	16	New Jersey Devils	7	Philadelphia Flyers	1	L				Sommaire du match
14	39	Philadelphia Flyers	3	New York Rangers	1	W				Sommaire du match
15	57	New Jersey Devils	4	Philadelphia Flyers	2	L				Sommaire du match
17	76	Philadelphia Flyers	4	Pittsburgh Penguins	6	L			R5	Sommaire du match
18	87	Carolina Hurricanes	5	Philadelphia Flyers	4	L	X	X		Sommaire du match
20	109	Columbus Blue Jackets	3	Philadelphia Flyers	2	L				Sommaire du match
21	128	Philadelphia Flyers	3	Columbus Blue Jackets	0	W				Sommaire du match
22	133	Philadelphia Flyers	0	Carolina Hurricanes	4	L				Sommaire du match
23	149	New York Rangers	2	Philadelphia Flyers	1	L	X			Sommaire du match
25	171	Carolina Hurricanes	3	Philadelphia Flyers	4	W	X	X		Sommaire du match
27	189	Philadelphia Flyers	3	New York Islanders	1	W				Sommaire du match
28	202	Washington Capitals	2	Philadelphia Flyers	4	W				Sommaire du match
30	220	Philadelphia Flyers	3	Washington Capitals	2	W	X			Sommaire du match
31	235	Pittsburgh Penguins	4	Philadelphia Flyers	2	L			R5	Sommaire du match
33	257	Philadelphia Flyers	-	Tampa Bay Lightning	-
34	267	Philadelphia Flyers	-	Pittsburgh Penguins	-
35	279	Philadelphia Flyers	-	Anaheim Ducks	-
36	290	Columbus Blue Jackets	-	Philadelphia Flyers	-
38	307	New Jersey Devils	-	Philadelphia Flyers	-
40	331	Winnipeg Jets	-	Philadelphia Flyers	-
41	340	Philadelphia Flyers	-	Toronto Maple Leafs	-
43	361	Philadelphia Flyers	-	Pittsburgh Penguins	-
44	372	Philadelphia Flyers	-	San Jose Sharks	-
46	385	New York Rangers	-	Philadelphia Flyers	-
47	401	Philadelphia Flyers	-	New York Islanders	-
48	418	Calgary Flames	-	Philadelphia Flyers	-
50	436	Pittsburgh Penguins	-	Philadelphia Flyers	-
51	448	Philadelphia Flyers	-	Washington Capitals	-
53	467	Washington Capitals	-	Philadelphia Flyers	-
55	486	Carolina Hurricanes	-	Philadelphia Flyers	-
57	507	Philadelphia Flyers	-	St. Louis Blues	-
58	516	New York Islanders	-	Philadelphia Flyers	-
59	528	Philadelphia Flyers	-	Boston Bruins	-
60	545	Philadelphia Flyers	-	New York Rangers	-
62	562	Philadelphia Flyers	-	Vancouver Canucks	-
63	574	Edmonton Oilers	-	Philadelphia Flyers	-
65	595	Florida Panthers	-	Philadelphia Flyers	-
67	615	Buffalo Sabres	-	Philadelphia Flyers	-
68	627	Philadelphia Flyers	-	Winnipeg Jets	-
70	639	Philadelphia Flyers	-	New Jersey Devils	-
71	655	Philadelphia Flyers	-	Ottawa Senators	-
72	669	Los Angeles Kings	-	Philadelphia Flyers	-
74	690	Nashville Predators	-	Philadelphia Flyers	-
76	708	Calgary Flames	-	Philadelphia Flyers	-
77	715	Philadelphia Flyers	-	Columbus Blue Jackets	-
79	740	Washington Capitals	-	Philadelphia Flyers	-
82	757	Philadelphia Flyers	-	Colorado Avalanche	-
83	770	Philadelphia Flyers	-	Detroit Red Wings	-
85	789	Tampa Bay Lightning	-	Philadelphia Flyers	-
86	802	Philadelphia Flyers	-	New York Rangers	-
88	819	Toronto Maple Leafs	-	Philadelphia Flyers	-
90	841	Columbus Blue Jackets	-	Philadelphia Flyers	-
91	852	Philadelphia Flyers	-	Washington Capitals	-
93	870	Pittsburgh Penguins	-	Philadelphia Flyers	-
95	885	Philadelphia Flyers	-	New Jersey Devils	-
96	898	New Jersey Devils	-	Philadelphia Flyers	-
97	910	Philadelphia Flyers	-	Vegas Golden Knights	-
99	930	Arizona Coyotes	-	Philadelphia Flyers	-
101	949	Philadelphia Flyers	-	Columbus Blue Jackets	-
102	959	Philadelphia Flyers	-	New Jersey Devils	-
103	975	New York Rangers	-	Philadelphia Flyers	-
105	992	Philadelphia Flyers	-	Tampa Bay Lightning	-
106	1007	Philadelphia Flyers	-	Dallas Stars	-
107	1015	Chicago Blackhawks	-	Philadelphia Flyers	-
109	1037	Boston Bruins	-	Philadelphia Flyers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
112	1059	Detroit Red Wings	-	Philadelphia Flyers	-
114	1083	Philadelphia Flyers	-	Colorado Avalanche	-
115	1094	Minnesota Wild	-	Philadelphia Flyers	-
117	1118	Philadelphia Flyers	-	Carolina Hurricanes	-
118	1125	Philadelphia Flyers	-	Buffalo Sabres	-
119	1136	Dallas Stars	-	Philadelphia Flyers	-
121	1158	Montreal Canadiens	-	Philadelphia Flyers	-
123	1180	Philadelphia Flyers	-	New York Rangers	-
124	1191	Ottawa Senators	-	Philadelphia Flyers	-
126	1209	Philadelphia Flyers	-	Carolina Hurricanes	-
128	1224	New York Islanders	-	Philadelphia Flyers	-
129	1233	Philadelphia Flyers	-	Florida Panthers	-
131	1251	New York Islanders	-	Philadelphia Flyers	-
132	1268	Philadelphia Flyers	-	Seattle Kraken	-
134	1285	Carolina Hurricanes	-	Philadelphia Flyers	-
136	1296	Philadelphia Flyers	-	New York Islanders	-
137	1311	Philadelphia Flyers	-	Montreal Canadiens	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2024	5619	900
Prix des billets	185	140	100	75	360
Assistance	33,600	28,000	11,336	31,464	5,040
Attendance PCT	70.00%	70.00%	70.01%	69.99%	70.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
33	13680 - 70.00%	2,876,408$	23,011,264$	19543	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
12,563,440$	53,738,462$	53,738,462$	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
389,409$	12,343,152$	0$	24	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
94,921,464$	106	396,293$	42,007,058$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
43,575,658$	394,179,792$	445,525,598$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
53,620,506$	34,379,494$	88,000,000$	-14,379,494$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Frank Vatrano	AGE:30	PO:0	OV:79
Andrew Mangiapane	AGE:28	PO:0	OV:73
Evgeny Dadanov	AGE:35	PO:0	OV:70
Robby Fabbri	AGE:28	PO:0	OV:69
A.J. Greer (R)	AGE:27	PO:0	OV:66
Andy Andreoff	AGE:33	PO:0	OV:64
Greg McKegg	AGE:32	PO:0	OV:62
Artem Anisimov	AGE:36	PO:0	OV:62
Gabriel Landeskog	AGE:31	PO:0	OV:62
Vince Hinostroza	AGE:30	PO:0	OV:60
Oskar Lindblom	AGE:28	PO:0	OV:57
Charles Hudon	AGE:30	PO:0	OV:57
Joona Luoto (R)	AGE:27	PO:0	OV:56
CJ Suess	AGE:30	PO:0	OV:55
Graham McPhee (R)	AGE:26	PO:0	OV:54
Mike Hardman (R)	AGE:25	PO:0	OV:53

Frank Vatrano	AGE:30	PO:0	OV:79
Andrew Mangiapane	AGE:28	PO:0	OV:73
Robby Fabbri	AGE:28	PO:0	OV:69
Nick Cousins	AGE:31	PO:0	OV:68
Marc McLaughlin (R)	AGE:25	PO:0	OV:66
Kevin Rooney	AGE:31	PO:0	OV:65
Andy Andreoff	AGE:33	PO:0	OV:64
Brendan Gaunce	AGE:30	PO:0	OV:63
Greg McKegg	AGE:32	PO:0	OV:62
Artem Anisimov	AGE:36	PO:0	OV:62
Vince Hinostroza	AGE:30	PO:0	OV:60
Kyle Rau	AGE:31	PO:0	OV:58
Josh Dunne (R)	AGE:25	PO:0	OV:58
Kristian Reichel (R)	AGE:26	PO:0	OV:58
Ondrej Pavel (R)	AGE:24	PO:0	OV:53

Frank Vatrano	AGE:30	PO:0	OV:79
Evgeny Dadanov	AGE:35	PO:0	OV:70
Robby Fabbri	AGE:28	PO:0	OV:69
Daniel Sprong	AGE:27	PO:0	OV:69
Gabriel Landeskog	AGE:31	PO:0	OV:62
Vince Hinostroza	AGE:30	PO:0	OV:60
David Gust	AGE:30	PO:0	OV:57
Lukas Rousek (R)	AGE:25	PO:0	OV:57
Keegan Iverson	AGE:28	PO:0	OV:55

Défense #1

Défense #2

Gardien

Noah Hanifin	AGE:27	PO:0	OV:82
Ryan Suter	AGE:39	PO:0	OV:79
Justin Schultz	AGE:34	PO:0	OV:73
Brayden Pachal (R)	AGE:25	PO:0	OV:71
Chris Wideman	AGE:34	PO:0	OV:71
Dakota Mermis	AGE:30	PO:0	OV:70
Tim Berni	AGE:24	PO:0	OV:68
Justin Holl	AGE:32	PO:0	OV:68
Kurtis MacDermid	AGE:30	PO:0	OV:66

Jacob MacDonald	AGE:31	PO:0	OV:66
Filip Roos (R)	AGE:25	PO:0	OV:59
Colton White (R)	AGE:27	PO:0	OV:58
Terrance Amorosa	AGE:29	PO:0	OV:58
Chase Priskie (R)	AGE:28	PO:0	OV:57
Calle Sjalin (R)	AGE:25	PO:0	OV:56
Santtu Kinnunen (R)	AGE:25	PO:0	OV:52
Hubert Labrie	AGE:33	PO:0	OV:46

Vitek Vanecek	AGE:28	PO:0	OV:81
Malcolm Subban	AGE:30	PO:0	OV:74
Matt Tomkins	AGE:30	PO:0	OV:73
Hunter Shepard	AGE:28	PO:0	OV:72
Jett Alexander (R)	AGE:24	PO:0	OV:59

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	Lien
Albin Sundin	Philadelphia Flyers	2024	196	0	Lien
Alexander Plesovskikh	Philadelphia Flyers	2024	164	0	Lien
Andrey Krutov	Philadelphia Flyers	2024	222	0	Lien
Artyom Levshunov	Philadelphia Flyers	2024	6	0	Lien
Austin Baker	Philadelphia Flyers	2024	209	0	Lien
Brandon Alderson	Philadelphia Flyers	0	0
Calle Andersson	Philadelphia Flyers	0	0
Christopher Pelosi	Philadelphia Flyers	2023	100	0	Lien
Connor Hall	Philadelphia Flyers	0	0
Darels Uljanskis	Philadelphia Flyers	2024	219	0	Lien
David Drake	Philadelphia Flyers	0	0
Dominik Badinka	Philadelphia Flyers	2024	36	0	Lien
Egor Serdyuk	Philadelphia Flyers	0	0
Eriks Mateiko	Philadelphia Flyers	2024	100	0	Lien
Fyodor Avramov	Philadelphia Flyers	2024	198	0	Lien
Hampton Slukynsky	Philadelphia Flyers	2023	132	0	Lien
Jackson Edward	Philadelphia Flyers	0	0
Jacob Battaglia	Philadelphia Flyers	2024	68	0	Lien
Jacob Truscott	Philadelphia Flyers	0	0
Jakob Ragnarsson	Philadelphia Flyers	0	0
Jakob Stukel	Philadelphia Flyers	0	0
James Greenway	Philadelphia Flyers	0	0
Jesper Pettersson	Philadelphia Flyers	0	0
Joe Connor	Philadelphia Flyers	2024	202	0	Lien
Jonathan Castagna	Philadelphia Flyers	2023	78	0	Lien
Kaden Pitre	Philadelphia Flyers	2024	194	0	Lien
Mackenzie Skapsi	Philadelphia Flyers	0	0
Matvey Guskov	Philadelphia Flyers	0	0
Maxim Lamarche	Philadelphia Flyers	0	0
Merrick Madsen	Philadelphia Flyers	0	0
Michael Krutil	Philadelphia Flyers	0	0
Michael Parks	Philadelphia Flyers	0	0
Nick Capone	Philadelphia Flyers	0	0
Nick Luukko	Philadelphia Flyers	0	0
Nick Pastujov	Philadelphia Flyers	0	0
Nikita Ishimnikov	Philadelphia Flyers	2023	164	0	Lien
Nolan Collins	Philadelphia Flyers	0	0
Patrik Siikanen	Philadelphia Flyers	0	0
Petr Placek	Philadelphia Flyers	0	0
Raoul Boilard	Philadelphia Flyers	2024	134	0	Lien
Reece Willcox	Philadelphia Flyers	0	0
Ryan O'Connell	Philadelphia Flyers	0	0
Ryan Walsh	Philadelphia Flyers	2023	196	0	Lien
Semyon Kizimov	Philadelphia Flyers	0	0
Theo Jacobsson	Philadelphia Flyers	0	0
Tnias Mathurin	Philadelphia Flyers	0	0
Tomas Mazura	Philadelphia Flyers	0	0
Valeri Vasiliev	Philadelphia Flyers	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22
24
25
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Philadelphia Flyers Historique de transactions

[8/17/2024 7:43:30 AM] - TRADE : From Philadelphia Flyers to Arizona Coyotes : Erik Kallgren (52).
[8/1/2024 4:57:07 PM] - Mike Hardman was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - David Gust was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Kristian Reichel was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Joona Luoto was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - CJ Suess was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Josh Dunne was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Charles Hudon was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Marc McLaughlin was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Kevin Rooney was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Terrance Amorosa was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Graham McPhee was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Keegan Iverson was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Nick Cousins was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Kurtis MacDermid was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Justin Holl was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Chris Wideman was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Oskar Lindblom was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Justin Schultz was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Erik Kallgren was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Jett Alexander was added to Philadelphia Flyers.
[8/1/2024 4:57:07 PM] - Hunter Shepard was added to Philadelphia Flyers.
[7/22/2024 7:56:46 PM] - Brayden Pachal was added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Andrey Krutov has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Darels Uljanskis has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Austin Baker has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Joe Connor has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Fyodor Avramov has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Albin Sundin has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Kaden Pitre has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Alexander Plesovskikh has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Raoul Boilard has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Eriks Mateiko has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Jacob Battaglia has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Dominik Badinka has been added to Philadelphia Flyers.
[7/14/2024 12:07:58 PM] - Artyom Levshunov has been added to Philadelphia Flyers.

[10/15/2024 7:58:55 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/14/2024 8:23:41 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/14/2024 8:23:23 PM] Both Philadelphia Flyers and Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[10/13/2024 9:29:12 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/13/2024 9:29:06 PM] Both Philadelphia Flyers and Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[10/12/2024 9:34:44 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/12/2024 9:34:38 PM] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[10/11/2024 9:13:23 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/11/2024 9:13:16 PM] Both Philadelphia Flyers and Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[10/9/2024 8:12:33 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/9/2024 8:12:22 PM] Both Philadelphia Flyers and Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[10/9/2024 8:12:21 PM] Kurtis MacDermid from Lehigh Valley Phantoms completes suspension
[10/9/2024 8:12:02 PM] Auto Lines Partial Function has been run for Lehigh Valley Phantoms.
[10/9/2024 8:12:02 PM] Lehigh Valley Phantoms (Philadelphia Flyers) lines errors : Normal line # 2 Defense #2 is empty. PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. OT Defense #4 is empty.
[10/9/2024 8:12:02 PM] Auto Lines Partial Function has been run for Philadelphia Flyers.
[10/9/2024 8:12:02 PM] Philadelphia Flyers lines errors : Normal line # 4 LW is empty. Normal line # 4 RW is empty. Unknown Player is used twice in Normal line #4 Extra Forward #2 is empty. Extra Forward #5 is empty. OT Forward #1 is empty.
[10/9/2024 8:12:02 PM] Auto Roster Partial Function has been run for Philadelphia Flyers.
[10/9/2024 8:12:02 PM] Philadelphia Flyers roster errors : Not enough Forward available in Pro Team! 10 Dressed. 11 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[10/8/2024 8:17:00 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/8/2024 8:16:23 PM] Brendan Gaunce from Philadelphia Flyers is back from Right Leg Injury.
[10/5/2024 9:13:49 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/5/2024 9:13:38 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[10/5/2024 9:13:36 PM] Game 171 - Brendan Gaunce from Philadelphia Flyers is injured (Right Leg) and is out for 4 days.
[10/4/2024 9:12:58 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/4/2024 9:12:37 PM] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[10/4/2024 9:12:36 PM] Game 236 - Kurtis MacDermid from Lehigh Valley Phantoms suspended for 1 game(s)
[10/2/2024 10:36:07 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/2/2024 10:35:55 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[10/1/2024 7:29:21 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $14,379,494!
[10/1/2024 7:29:10 PM] Frank Vatrano from Philadelphia Flyers is back from Exhaustion.
[10/1/2024 7:29:10 PM] Both Philadelphia Flyers and Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[10/1/2024 7:29:04 PM] Auto Lines Partial Function has been run for Lehigh Valley Phantoms.
[10/1/2024 7:29:04 PM] Lehigh Valley Phantoms (Philadelphia Flyers) lines errors : Normal line # 1 Defense #1 is empty. PP line 1 Defense #1 is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. LastMinOff line Defense is empty. LastMinDef line Defense is empty. OT Defense #1 is empty.
[10/1/2024 7:29:04 PM] Auto Lines Partial Function has been run for Philadelphia Flyers.
[10/1/2024 7:29:04 PM] Philadelphia Flyers lines errors : Normal line # 1 C is empty. Normal line # 4 RW is empty. PP line 1 C is empty. PK line 1 C is empty. 4 vs 4 line 1 C is empty. PK3 line 1 forward is empty. LastMinOff line C is empty. LastMinDef line C is empty. Penalty Shot Player #1 is empty. OT Forward #1 is empty.
[10/1/2024 7:29:04 PM] Auto Roster Partial Function has been run for Philadelphia Flyers.
[10/1/2024 7:29:04 PM] Justin Holl of Philadelphia Flyers was sent to pro.
[10/1/2024 7:29:04 PM] Philadelphia Flyers roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[9/29/2024 7:53:35 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $15,036,566!
[9/29/2024 7:53:28 PM] Both Philadelphia Flyers and Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[9/29/2024 7:53:27 PM] Frank Vatrano from Philadelphia Flyers is injured from Exhaustion.
[9/28/2024 10:10:15 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $15,036,566!
[9/28/2024 10:10:09 PM] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[9/27/2024 9:26:10 PM] Philadelphia Flyers are expected to be under the minimum salary cap by $15,036,566!

Pas de blessure ou de suspension.

Philadelphia 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

Philadelphia 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

Philadelphia 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

Philadelphia 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

Philadelphia 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

	Philadelphia Flyers
	GP: 14 \| W: 6 \| L: 6 \| OTL: 2 \| P: 14 GF: 36 \| GA: 44 \| PP%: 21.21% \| PK%: 73.17% DG: \| Morale : 45 \| Moyenne d’équipe : 71 Prochains matchs #257 vs Tampa Bay Lightning