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

Centre de jeu
	Philadelphia Flyers 41-36-3, 85pts	3	FINAL	7	Nashville Predators 45-28-7, 97pts

Team Stats
L2	Séquence	W3
20-19-1	Fiche domicile	21-19-1
21-17-2	Fiche visiteur	24-9-6
5-4-1	Derniers 10 matchs	6-3-1
3.96	Buts par match	4.19
3.76	Buts contre par match	3.26
19.04%	Pourcentage en avantage numérique	23.11%
80.51%	Pourcentage en désavantage numérique	82.83%

St. Louis Blues
39-34-6, 84pts

FINAL

Philadelphia Flyers
41-36-3, 85pts

Team Stats
L1	Séquence	L2
15-21-4	Fiche domicile	20-19-1
24-13-2	Fiche visiteur	21-17-2
5-3-2	Derniers 10 matchs	5-4-1
3.95	Buts par match	3.96
3.86	Buts contre par match	3.76
22.27%	Pourcentage en avantage numérique	19.04%
77.59%	Pourcentage en désavantage numérique	80.51%

Philadelphia Flyers
41-36-3, 85pts

Jour 204

Ottawa Senators
37-40-3, 77pts

Statistiques d’équipe
L2	Séquence	W1
20-19-1	Fiche domicile	19-19-2
21-17-2	Fiche visiteur	18-21-1
5-4-1	10 derniers matchs	5-5-0
3.96	Buts par match	3.33
3.76	Buts contre par match	3.33
19.04%	Pourcentage en avantage numérique	18.44%
80.51%	Pourcentage en désavantage numérique	78.84%

St. Louis Blues
39-34-6, 84pts

Jour 207

Philadelphia Flyers
41-36-3, 85pts

Statistiques d’équipe
L1	Séquence	L2
15-21-4	Fiche domicile	20-19-1
24-13-2	Fiche visiteur	21-17-2
5-3-2	10 derniers matchs	5-4-1
3.95	Buts par match	3.96
3.86	Buts contre par match	3.96
22.27%	Pourcentage en avantage numérique	19.04%
77.59%	Pourcentage en désavantage numérique	80.51%

Meneurs d'équipe
	Buts Logan Couture 44	Passes Logan Couture 61

	Points Logan Couture 105	Plus/Moins Logan Couture 19

	Victoires Martin Jones 31	Pourcentage d’arrêts Martin Jones 0.875

Statistiques d’équipe
Buts pour 317 3.96 GFG	Tirs pour 2333 29.16 Avg	Pourcentage en avantage numérique 19.0% 91 GF	Début de zone offensive 39.7%
Buts contre 301 3.76 GAA	Tirs contre 2330 29.13 Avg	Pourcentage en désavantage numérique 80.5%% 91 GA	Début de la zone défensive 40.0%

Informations de l'équipe
	Directeur général	Phillipe Leblanc
	Entraîneur	Todd McLellan
	Division	Metropolitan
	Conférence	Eastern Conference
	Capitaine	Logan Couture
	Assistant #1	Patrick Kane
	Assistant #2	Marc Staal
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	19,537
	Assistance	18,568
	Billets de saison	7,815
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	20
	Limite contact	43 / 50
	Espoirs	26
Plafond salarial
	Cap Salarial de la Saison estimé	83,525,000$
	Plafond salarial disponible	4,475,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	53,079,995$
	Dépenses annuelles à ce jour	84,710,192$
	Revenus de la saison estimés	1,327,000$
	Dépenses de la saison estimées	2,950,836$
	Compte bancaire actuel	5,155,717$
	Compte bancaire projeté	3,531,881$

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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	Patrick Kane (A)			X		99.00	91	38	93	89	91	92	94	94	55	92	90	79	91	89	86	58	34	84	0	35	4	9,500,000$
2	Logan Couture (C)	X				100.00	87	39	85	84	79	90	92	85	83	85	84	85	77	83	81	52	68	81	0	35	4	7,500,000$
3	Marcus Johansson		X	X		100.00	85	36	85	82	78	87	86	79	70	83	82	79	79	81	75	50	67	78	0	33	2	8,000,000$
4	Max Domi	X	X			100.00	76	72	79	83	69	83	85	75	79	79	78	77	79	73	69	71	50	74	0	29	2	5,000,000$
5	Carter Verhaeghe	X				100.00	78	39	79	75	74	88	89	76	71	77	78	72	75	67	71	56	68	73	0	28	2	1,300,000$
6	Brandon Tanev		X	X		100.00	89	36	72	76	70	82	78	72	63	71	77	70	72	73	75	36	58	71	0	32	1	2,000,000$
7	Dillon Dube	X	X			100.00	66	34	83	77	70	82	85	68	70	75	77	71	68	64	65	67	67	71	0	25	1	1,500,000$
8	Jonathan Drouin		X			100.00	63	38	82	78	75	87	81	77	67	78	70	61	78	71	67	76	68	71	0	29	1	5,250,000$
9	Warren Foegele		X	X		100.00	72	36	83	75	81	84	82	66	56	74	76	71	66	67	69	63	24	70	0	28	3	3,000,000$
10	Derek Grant	X	X			100.00	63	32	76	64	84	77	81	65	84	67	68	79	63	74	73	37	56	69	0	34	2	4,500,000$
11	Isac Lundestrom	X				100.00	62	35	88	67	73	86	89	65	81	63	68	82	66	64	65	81	58	69	0	24	3	2,000,000$
12	Noah Gregor		X	X		100.00	70	46	71	72	73	72	71	70	38	72	72	74	59	60	60	41	66	68	0	25	1	775,000$
13	Jake Muzzin				X	100.00	82	41	86	68	79	72	85	69	30	78	62	84	53	80	73	33	68	73	0	35	1	6,000,000$
14	Christopher Tanev				X	100.00	61	36	76	69	80	81	79	62	30	73	74	78	52	80	75	26	67	71	0	34	1	3,000,000$
15	Jordan Oesterle				X	100.00	79	34	88	74	71	89	83	65	30	72	72	71	53	71	73	35	46	71	0	31	3	5,000,000$
16	Marc Staal (A)				X	100.00	69	38	85	63	88	86	87	59	30	71	67	76	50	88	76	45	58	71	0	37	2	5,000,000$
17	Sean Durzi				X	100.00	72	34	75	71	73	87	90	66	30	72	69	74	52	64	66	71	60	71	0	25	4	1,500,000$
18	Braden Schneider				X	100.00	71	39	86	67	81	83	90	66	30	65	67	69	53	63	65	83	61	69	0	22	2	925,000$
Rayé
1	Jake Evans	X				99.15	72	37	86	77	69	84	79	68	82	67	69	83	64	67	69	58	49	70	0	27	2	1,750,000$
2	Marian Studenic		X	X		100.00	70	56	72	70	73	72	71	72	39	70	71	70	58	60	60	42	34	67	0	25	1	775,000$
3	Brendan Smith				X	100.00	71	75	68	64	80	76	73	65	30	67	66	70	52	78	74	48	30	68	0	35	2	1,750,000$

	MOYENNE D’ÉQUIPE					99.90	74	41	81	74	77	83	83	71	55	74	73	75	65	72	71	54	55	72

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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	Martin Jones	100.00	77	76	71	74	76	75	77	76	75	77	76	80	86	53	77	75	0	34	1	5,500,000$
2	Kaapo Kahkonen	100.00	69	64	65	68	68	77	70	71	72	71	69	66	75	58	66	69	0	27	1	2,000,000$
Rayé

	MOYENNE D’ÉQUIPE	100.00	73	70	68	71	72	76	74	74	74	74	73	73	81	56	72	72

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd McLellan	80	87	80	86	81	75	68	CAN	54	1	5,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Logan Couture	Philadelphia Flyers	C	80	44	61	105	19	63	5	125	202	298	77	191	14.77%	31	1688	21.10	10	30	40	75	319	4	0	4	12	369	5	2	51.44%	2224	3	1.24	1	4	0	0	1	10	10	5
2	Marcus Johansson	Philadelphia Flyers	LW/RW	80	28	51	79	-4	62	0	145	101	238	65	184	11.76%	9	1445	18.06	14	22	36	89	385	0	0	0	1	54	4	1	40.54%	148	1	1.09	1	3	0	0	0	2	7	3
3	Patrick Kane	Philadelphia Flyers	RW	58	33	43	76	16	46	0	63	88	216	46	159	15.28%	10	1034	17.84	8	12	20	49	208	0	3	3	1	66	2	1	43.84%	203	2	1.47	1	2	0	0	0	7	2	2
4	Max Domi	Philadelphia Flyers	C/LW	74	28	37	65	3	35	15	73	110	173	49	132	16.18%	10	1298	17.55	10	14	24	65	311	0	0	0	5	182	3	4	49.35%	1084	0	1.00	0	1	1	1	1	3	2	7
5	Carter Verhaeghe	Philadelphia Flyers	C	80	25	32	57	-7	53	5	71	145	166	53	118	15.06%	16	1290	16.14	2	5	7	20	121	0	1	1	4	197	4	0	45.77%	1547	1	0.88	1	1	0	0	1	5	1	4
6	Brandon Tanev	Philadelphia Flyers	LW/RW	76	24	31	55	-9	80	0	159	75	174	48	101	13.79%	10	1571	20.68	7	11	18	45	336	1	1	2	6	231	5	0	39.74%	151	0	0.70	0	0	0	0	0	2	2	2
7	Jake Muzzin	Philadelphia Flyers	D	80	14	41	55	5	148	10	125	50	94	24	71	14.89%	88	1525	19.07	8	14	22	66	302	0	2	2	2	232	2	2	0%	0	0	0.72	0	0	0	0	1	0	0	1
8	Dillon Dube	Philadelphia Flyers	C/LW	80	23	29	52	1	12	0	27	65	161	28	100	14.29%	6	1199	15.00	7	9	16	33	190	0	0	0	2	171	6	2	40.34%	119	0	0.87	0	0	0	0	0	5	4	1
9	Jonathan Drouin	Philadelphia Flyers	LW	80	16	28	44	-7	15	5	18	43	127	36	102	12.60%	10	1196	14.96	1	8	9	29	229	0	0	0	4	56	2	0	35.21%	71	0	0.74	0	2	0	0	1	1	1	1
10	Marc Staal	Philadelphia Flyers	D	80	11	29	40	14	67	5	65	44	69	21	36	15.94%	103	1836	22.96	6	11	17	42	368	0	1	1	0	329	1	0	0%	0	0	0.44	0	0	0	0	1	2	0	3
11	Christopher Tanev	Philadelphia Flyers	D	80	10	25	35	0	72	0	53	62	117	46	71	8.55%	71	1871	23.39	8	10	18	91	388	0	0	0	3	362	0	0	0%	0	0	0.37	0	0	0	0	0	0	1	0
12	Sean Durzi	Philadelphia Flyers	D	81	6	28	34	12	100	0	115	49	73	28	48	8.22%	75	1586	19.59	3	9	12	43	247	0	1	1	1	228	0	0	0%	0	0	0.43	0	0	0	0	0	1	2	1
13	Jordan Oesterle	Philadelphia Flyers	D	54	10	23	33	-12	78	0	76	33	57	17	27	17.54%	54	1062	19.68	6	8	14	36	172	0	0	0	1	140	3	1	0%	0	0	0.62	0	0	0	0	0	2	1	2
14	Warren Foegele	Philadelphia Flyers	LW/RW	54	11	20	31	-5	26	0	41	39	107	22	76	10.28%	7	864	16.02	2	3	5	21	145	0	0	0	1	82	0	2	38.10%	63	0	0.72	0	0	0	0	0	0	0	3
15	Braden Schneider	Philadelphia Flyers	D	80	4	19	23	3	86	10	52	29	35	13	18	11.43%	77	1380	17.26	1	2	3	7	88	0	0	0	0	202	0	0	0%	0	0	0.33	0	0	0	2	0	1	0	0
16	Jake Evans	Philadelphia Flyers	C	76	7	16	23	4	24	0	31	68	81	15	62	8.64%	9	596	7.85	0	0	0	0	0	0	0	0	0	7	0	1	47.89%	664	0	0.77	0	0	0	0	0	0	1	0
17	Isac Lundestrom	Philadelphia Flyers	C	77	7	9	16	1	6	0	11	50	44	16	33	15.91%	11	438	5.70	0	0	0	1	7	0	0	0	0	0	0	0	50.21%	484	0	0.73	0	0	0	0	0	1	0	1
18	Brendan Smith	Philadelphia Flyers	D	58	1	14	15	2	71	5	61	18	9	6	16	11.11%	29	629	10.85	0	2	2	0	10	0	0	0	0	56	0	0	0%	0	0	0.48	0	0	0	0	1	0	1	0
19	Noah Gregor	Philadelphia Flyers	LW/RW	30	5	10	15	10	12	0	25	27	47	7	29	10.64%	2	340	11.36	0	0	0	2	12	0	0	0	0	0	0	1	37.50%	24	0	0.88	0	0	0	0	0	0	1	2
20	Derek Grant	Philadelphia Flyers	C/LW	76	5	9	14	6	6	0	15	20	42	15	29	11.90%	4	487	6.42	0	1	1	2	20	0	0	0	1	76	0	0	57.29%	96	0	0.57	0	0	0	0	0	0	1	1
21	Marian Studenic	Philadelphia Flyers	LW/RW	10	5	6	11	8	4	0	6	5	13	6	19	38.46%	0	116	11.69	0	0	0	0	0	0	0	0	0	0	1	0	66.67%	6	0	1.88	0	0	0	0	0	0	1	2
22	Corey Schueneman	Lehigh Valley Phantoms (PHI)	D	1	0	1	1	0	0	0	0	1	0	0	0	0%	0	13	13.57	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	1.47	0	0	0	0	0	0	0	0
23	Dryden Hunt	Lehigh Valley Phantoms (PHI)	LW	5	0	0	0	1	4	0	3	0	2	0	2	0%	0	18	3.63	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0	0	0	0	0
24	Patrik Nemeth	Lehigh Valley Phantoms (PHI)	D	4	0	0	0	2	4	0	1	0	1	3	0	0%	0	29	7.28	0	0	0	0	1	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				1454	317	562	879	63	1074	60	1361	1324	2344	641	1624	13.52%	632	23525	16.18	93	171	264	716	3867	5	9	14	44	3049	38	17	48.26%	6885	7	0.75	4	13	1	3	7	42	38	41

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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	A	EG	PS %	PSA	ST	BG	S1	S3
1	Martin Jones	Philadelphia Flyers	56	31	20	2	0.875	3.61	3222	2	1	194	1558	1	1	0.909	11	53	27	0	1
2	Kaapo Kahkonen	Philadelphia Flyers	29	10	16	1	0.866	3.85	1604	4	0	103	769	0	2	0.500	2	27	53	1	0
Statistiques d’équipe totales ou en moyenne			85	41	36	3	0.872	3.69	4827	6	1	297	2327	1	3		13	80	80	1	1

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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
Braden Schneider	Philadelphia Flyers	D	22	2001-09-20	No	202 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	925,000$	925,000$	30,833$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Brandon Tanev	Philadelphia Flyers	LW/RW	32	1991-12-31	No	180 Lbs	6 ft0	No	No	N/A		No	Yes	1		False	False	Pro & Farm	2,000,000$	2,000,000$	66,667$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Brendan Smith	Philadelphia Flyers	D	35	1989-02-08	No	200 Lbs	6 ft2	No	No	N/A		No	Yes	2		False	False	Pro & Farm	1,750,000$	1,750,000$	58,333$	No	1,750,000$	-	-	-	-	-	-	-	-	1,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Carter Verhaeghe	Philadelphia Flyers	C	28	1995-08-14	No	180 Lbs	6 ft2	No	No	N/A		No	Yes	2		False	False	Pro & Farm	1,300,000$	1,300,000$	43,333$	No	1,300,000$	-	-	-	-	-	-	-	-	1,300,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Christopher Tanev	Philadelphia Flyers	D	34	1989-12-20	No	197 Lbs	6 ft2	No	No	N/A		No	Yes	1		False	False	Pro & Farm	3,000,000$	3,000,000$	100,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Derek Grant	Philadelphia Flyers	C/LW	34	1990-04-20	No	210 Lbs	6 ft3	No	No	N/A		No	Yes	2		False	False	Pro & Farm	4,500,000$	4,500,000$	150,000$	No	4,500,000$	-	-	-	-	-	-	-	-	4,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Dillon Dube	Philadelphia Flyers	C/LW	25	1998-07-20	No	187 Lbs	5 ft11	No	No	N/A		No	Yes	1		False	False	Pro & Farm	1,500,000$	1,500,000$	50,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Isac Lundestrom	Philadelphia Flyers	C	24	1999-11-06	No	193 Lbs	6 ft0	No	No	N/A		No	No	3		False	False	Pro & Farm	2,000,000$	2,000,000$	66,667$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Jake Evans	Philadelphia Flyers	C	27	1996-06-02	No	176 Lbs	6 ft0	No	No	N/A		No	Yes	2		False	False	Pro & Farm	1,750,000$	1,750,000$	58,333$	No	1,750,000$	-	-	-	-	-	-	-	-	1,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jake Muzzin	Philadelphia Flyers	D	35	1989-02-21	No	226 Lbs	6 ft3	No	No	N/A		No	Yes	1		False	False	Pro & Farm	6,000,000$	6,000,000$	200,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jonathan Drouin	Philadelphia Flyers	LW	29	1995-03-28	No	203 Lbs	6 ft0	No	No	N/A		No	Yes	1		False	False	Pro & Farm	5,250,000$	5,250,000$	175,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jordan Oesterle	Philadelphia Flyers	D	31	1992-06-25	No	188 Lbs	6 ft0	No	No	N/A		No	Yes	3		False	False	Pro & Farm	5,000,000$	5,000,000$	166,667$	No	5,000,000$	5,000,000$	-	-	-	-	-	-	-	5,000,000$	5,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Kaapo Kahkonen	Philadelphia Flyers	G	27	1996-08-16	No	217 Lbs	6 ft2	No	No	N/A		No	Yes	1		False	False	Pro & Farm	2,000,000$	2,000,000$	66,667$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Logan Couture	Philadelphia Flyers	C	35	1989-03-28	No	206 Lbs	6 ft1	No	No	N/A		No	Yes	4		False	False	Pro & Farm	7,500,000$	7,500,000$	250,000$	No	7,500,000$	7,500,000$	7,500,000$	-	-	-	-	-	-	7,500,000$	7,500,000$	7,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Marc Staal	Philadelphia Flyers	D	37	1987-01-13	No	208 Lbs	6 ft4	No	No	N/A		No	Yes	2		False	False	Pro & Farm	5,000,000$	5,000,000$	166,667$	No	5,000,000$	-	-	-	-	-	-	-	-	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Marcus Johansson	Philadelphia Flyers	LW/RW	33	1990-10-06	No	203 Lbs	6 ft1	No	No	N/A		No	Yes	2		False	False	Pro & Farm	8,000,000$	8,000,000$	266,667$	No	8,000,000$	-	-	-	-	-	-	-	-	8,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Marian Studenic	Philadelphia Flyers	LW/RW	25	1998-10-28	No	165 Lbs	6 ft0	No	No	Prospect		No	Yes	1	2024-01-09	False	False	Pro & Farm	775,000$	775,000$	25,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Martin Jones	Philadelphia Flyers	G	34	1990-01-10	No	190 Lbs	6 ft4	No	No	N/A		No	Yes	1		False	False	Pro & Farm	5,500,000$	5,500,000$	183,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Max Domi	Philadelphia Flyers	C/LW	29	1995-03-02	No	194 Lbs	5 ft10	No	No	N/A		No	Yes	2		False	False	Pro & Farm	5,000,000$	5,000,000$	166,667$	No	5,000,000$	-	-	-	-	-	-	-	-	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Noah Gregor	Philadelphia Flyers	LW/RW	25	1998-07-28	No	190 Lbs	6 ft0	No	No	Prospect		No	Yes	1	2024-01-09	False	False	Pro & Farm	775,000$	775,000$	25,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Patrick Kane	Philadelphia Flyers	RW	35	1988-11-19	No	177 Lbs	5 ft10	No	No	N/A		No	Yes	4		False	False	Pro & Farm	9,500,000$	9,500,000$	316,667$	No	9,500,000$	9,500,000$	9,500,000$	-	-	-	-	-	-	9,500,000$	9,500,000$	9,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Sean Durzi	Philadelphia Flyers	D	25	1998-10-21	No	195 Lbs	6 ft0	No	No	Trade	2023-12-13	No	Yes	4		False	False	Pro & Farm	1,500,000$	1,500,000$	50,000$	No	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	-	1,500,000$	1,500,000$	1,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Warren Foegele	Philadelphia Flyers	LW/RW	28	1996-04-01	No	198 Lbs	6 ft2	No	No	N/A		No	Yes	3		False	False	Pro & Farm	3,000,000$	3,000,000$	100,000$	No	3,000,000$	3,000,000$	-	-	-	-	-	-	-	3,000,000$	3,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	29.96	195 Lbs	6 ft1	2.00	3,631,522$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
83,525,000$	56,725,000$	28,500,000$	18,500,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Marcus Johansson	Logan Couture	Patrick Kane	40	1	2	2
2	Jonathan Drouin	Max Domi	Brandon Tanev	30	1	2	2
3	Dillon Dube	Carter Verhaeghe	Warren Foegele	20	1	2	2
4	Noah Gregor	Derek Grant	Patrick Kane	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Muzzin	Christopher Tanev	40	1	2	2
2	Marc Staal	Jordan Oesterle	30	1	2	2
3	Sean Durzi	Braden Schneider	20	1	2	2
4	Jake Muzzin	Christopher Tanev	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Marcus Johansson	Logan Couture	Patrick Kane	60	1	2	2
2	Jonathan Drouin	Max Domi	Brandon Tanev	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Muzzin	Christopher Tanev	60	1	2	2
2	Marc Staal	Jordan Oesterle	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Patrick Kane	Logan Couture	60	1	2	2
2	Marcus Johansson	Max Domi	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Muzzin	Christopher Tanev	60	1	2	2
2	Marc Staal	Jordan Oesterle	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Patrick Kane	60	1	2	2	Jake Muzzin	Christopher Tanev	60	1	2	2
2	Logan Couture	40	1	2	2	Marc Staal	Jordan Oesterle	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Patrick Kane	Logan Couture	60	1	2	2
2	Marcus Johansson	Max Domi	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Muzzin	Christopher Tanev	60	1	2	2
2	Marc Staal	Jordan Oesterle	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Marcus Johansson	Logan Couture	Patrick Kane	Jake Muzzin	Christopher Tanev

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Marcus Johansson	Logan Couture	Patrick Kane	Jake Muzzin	Christopher Tanev

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Isac Lundestrom, Carter Verhaeghe, Dillon Dube	Isac Lundestrom, Carter Verhaeghe	Dillon Dube

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Sean Durzi, Braden Schneider, Marc Staal	Sean Durzi	Braden Schneider, Marc Staal

Tirs de pénalité
Patrick Kane, Logan Couture, Marcus Johansson, Max Domi, Carter Verhaeghe

Gardien
#1 : Kaapo Kahkonen, #2 : Martin Jones

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
1	Arizona Coyotes	3	0	3	0	0	0	0	0	8	13	-5	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	8	16	24	0	0	2	4	2	0	96	19	32	45	0	92	31	45	61	16	4	25.00%	19	5	73.68%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	73	50	72	21	34	16
2	Boston Bruins	3	1	1	0	1	0	0	0	14	10	4	2	1	1	0	0	0	0	0	10	7	3	1	0	0	0	1	0	0	0	4	3	1	4	0.667	14	23	37	0	0	3	3	7	1	97	24	31	35	7	78	15	28	56	22	5	22.73%	14	4	71.43%	2	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	80	56	65	22	38	19
3	Calgary Flames	3	1	2	0	0	0	0	0	12	13	-1	2	1	1	0	0	0	0	0	9	6	3	1	0	1	0	0	0	0	0	3	7	-4	2	0.333	12	20	32	0	0	5	2	5	0	72	19	30	23	0	94	32	41	42	18	5	27.78%	17	5	70.59%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	66	45	79	22	34	15
4	Chicago Blackhawks	3	0	2	0	0	1	0	0	11	15	-4	2	0	1	0	0	1	0	0	9	11	-2	1	0	1	0	0	0	0	0	2	4	-2	1	0.167	11	20	31	0	0	5	5	1	0	93	45	25	23	0	102	27	39	43	16	3	18.75%	16	3	81.25%	1	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	69	47	71	21	39	18
5	Colorado Avalanche	6	3	2	0	0	0	1	0	26	20	6	2	0	1	0	0	0	1	0	7	7	0	4	3	1	0	0	0	0	0	19	13	6	8	0.667	26	45	71	0	0	10	8	7	1	164	42	68	51	5	160	46	87	123	34	4	11.76%	34	5	85.29%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	139	95	148	45	76	37
6	Columbus Blue Jackets	5	1	3	0	1	0	0	0	16	20	-4	3	1	2	0	0	0	0	0	8	11	-3	2	0	1	0	1	0	0	0	8	9	-1	4	0.400	16	31	47	1	0	5	4	6	1	148	49	53	43	3	144	33	74	61	27	4	14.81%	33	6	81.82%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	114	78	130	36	59	29
7	Dallas Stars	2	2	0	0	0	0	0	0	12	7	5	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	3	3	4	1.000	12	23	35	0	0	3	1	8	0	70	18	19	33	0	50	16	28	34	15	1	6.67%	14	3	78.57%	1	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	50	35	44	14	24	12
8	Detroit Red Wings	5	1	2	0	1	0	1	0	22	21	1	1	1	0	0	0	0	0	0	8	3	5	4	0	2	0	1	0	1	0	14	18	-4	6	0.600	22	40	62	0	0	6	8	6	3	142	45	36	58	6	136	32	66	78	24	4	16.67%	31	7	77.42%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	122	85	120	37	62	30
9	Edmonton Oilers	3	0	3	0	0	0	0	0	6	13	-7	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	6	10	16	0	0	3	1	2	0	75	23	36	16	0	82	28	44	54	8	2	25.00%	20	1	95.00%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	65	43	74	22	39	19
10	Florida Panthers	3	2	0	0	1	0	0	0	15	9	6	2	2	0	0	0	0	0	0	10	5	5	1	0	0	0	1	0	0	0	5	4	1	6	1.000	15	27	42	0	0	3	4	7	1	124	33	46	41	4	81	21	26	55	30	3	10.00%	11	3	72.73%	1	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	81	58	66	21	36	19
11	Los Angeles Kings	3	1	1	0	0	1	0	0	12	12	0	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	1	0	0	11	9	2	3	0.500	12	23	35	0	0	2	6	4	0	95	32	30	32	1	72	18	28	49	24	5	20.83%	14	2	85.71%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	72	48	69	21	38	20
12	Minnesota Wild	2	1	1	0	0	0	0	0	9	11	-2	1	0	1	0	0	0	0	0	3	7	-4	1	1	0	0	0	0	0	0	6	4	2	2	0.500	9	14	23	0	0	1	5	3	0	55	13	22	20	0	69	6	34	22	6	3	50.00%	15	3	80.00%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	46	31	49	14	24	11
13	Montreal Canadiens	3	1	1	0	0	0	1	0	16	12	4	2	1	0	0	0	0	1	0	15	9	6	1	0	1	0	0	0	0	0	1	3	-2	4	0.667	16	26	42	0	0	7	4	4	1	79	25	25	27	7	108	23	36	43	18	3	16.67%	18	4	77.78%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	70	48	77	21	36	17
14	Nashville Predators	3	0	2	0	0	0	0	1	10	17	-7	1	0	1	0	0	0	0	0	1	3	-2	2	0	1	0	0	0	0	1	9	14	-5	1	0.167	10	18	28	0	0	5	4	1	0	75	28	23	18	9	113	39	52	52	18	3	16.67%	24	9	62.50%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	63	40	81	22	39	18
15	New Jersey Devils	4	3	1	0	0	0	0	0	15	12	3	2	1	1	0	0	0	0	0	5	7	-2	2	2	0	0	0	0	0	0	10	5	5	6	0.750	15	26	41	0	0	4	9	2	0	125	46	55	24	0	109	33	51	69	26	6	23.08%	21	4	80.95%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	95	65	93	30	50	25
16	New York Islanders	4	2	2	0	0	0	0	0	14	14	0	2	2	0	0	0	0	0	0	8	4	4	2	0	2	0	0	0	0	0	6	10	-4	4	0.500	14	26	40	0	0	3	7	4	0	103	37	27	39	0	136	34	70	73	24	3	12.50%	30	8	73.33%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	91	60	95	30	53	25
17	New York Rangers	4	3	1	0	0	0	0	0	19	10	9	2	2	0	0	0	0	0	0	13	4	9	2	1	1	0	0	0	0	0	6	6	0	6	0.750	19	31	50	0	0	12	6	1	0	122	37	37	48	0	97	25	46	59	30	7	23.33%	21	3	85.71%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	98	69	93	29	48	25
18	Ottawa Senators	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	3	2	1	2	0.500	6	9	15	1	0	3	1	2	0	48	18	10	20	0	61	19	22	34	9	1	11.11%	11	0	100.00%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	40	26	53	15	26	12
19	Pittsburgh Penguins	4	2	2	0	0	0	0	0	13	11	2	2	1	1	0	0	0	0	0	8	4	4	2	1	1	0	0	0	0	0	5	7	-2	4	0.500	13	21	34	0	1	5	6	2	0	131	45	47	39	0	114	42	53	77	25	6	24.00%	23	5	78.26%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	101	68	89	29	49	25
20	San Jose Sharks	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	8	15	23	0	0	1	3	4	0	63	14	30	19	0	48	14	18	29	17	4	23.53%	9	1	88.89%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	48	34	47	14	23	11
21	St. Louis Blues	2	1	1	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	1	6	-5	1	1	0	0	0	0	0	0	6	2	4	2	0.500	7	11	18	0	0	2	3	2	0	59	27	17	15	0	52	14	23	29	8	2	25.00%	10	3	70.00%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	47	35	49	13	22	10
22	Tampa Bay Lightning	3	2	1	0	0	0	0	0	16	11	5	1	1	0	0	0	0	0	0	7	5	2	2	1	1	0	0	0	0	0	9	6	3	4	0.667	16	29	45	0	0	2	6	8	0	74	18	23	33	0	99	22	39	48	23	6	26.09%	17	4	76.47%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	67	46	78	21	34	16
23	Toronto Maple Leafs	3	2	1	0	0	0	0	0	14	12	2	1	0	1	0	0	0	0	0	3	5	-2	2	2	0	0	0	0	0	0	11	7	4	4	0.667	14	24	38	1	0	5	6	3	0	89	31	35	23	0	89	19	46	57	13	2	15.38%	13	1	92.31%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	65	46	79	21	35	17
24	Vancouver Canucks	3	2	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	3	2	1	4	0.667	9	14	23	0	0	4	3	2	0	71	36	20	15	0	88	18	48	50	18	3	16.67%	23	1	95.65%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	65	43	79	22	34	15
25	Winnipeg Jets	2	0	1	0	1	0	0	0	7	9	-2	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	7	13	20	0	0	1	2	3	1	63	22	15	25	1	56	15	20	37	9	2	22.22%	9	1	88.89%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	43	29	53	15	25	12
	Total	80	33	36	0	5	2	3	1	317	301	16	40	17	19	0	1	1	2	0	161	147	14	40	16	17	0	4	1	1	1	156	154	2	85	0.531	317	555	872	3	1	102	111	96	9	2333	746	792	765	43	2330	622	1064	1335	478	91	19.04%	467	91	80.51%	5	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	1880	1289	1966	592	989	486
	_Since Last GM Reset	80	33	36	0	5	2	3	1	317	301	16	40	17	19	0	1	1	2	0	161	147	14	40	16	17	0	4	1	1	1	156	154	2	85	0.531	317	555	872	3	1	102	111	96	9	2333	746	792	765	43	2330	622	1064	1335	478	91	19.04%	467	91	80.51%	5	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	1880	1289	1966	592	989	486
	_Vs Conference	43	21	16	0	4	0	2	0	180	149	31	21	13	7	0	0	0	1	0	98	69	29	22	8	9	0	4	0	1	0	82	80	2	54	0.628	180	313	493	3	1	58	64	52	7	1282	408	425	430	27	1252	318	557	710	271	50	18.45%	243	49	79.84%	3	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	1027	709	1043	318	532	264
	_Vs Division	21	11	9	0	1	0	0	0	77	67	10	11	7	4	0	0	0	0	0	42	30	12	10	4	5	0	1	0	0	0	35	37	-2	24	0.571	77	135	212	1	1	29	32	15	1	629	214	219	193	3	600	167	294	339	132	26	19.70%	128	26	79.69%	0	1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%	500	342	502	156	261	131

			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
80	85	L2	317	555	872	2333	2330	622	1064	1335	3	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	33	36	5	2	3	1	317	301

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	17	19	1	1	2	0	161	147

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	16	17	4	1	1	1	156	154

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	4	0	0	1	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
478	91	19.04%	467	91	80.51%	5

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
746	792	765	43	102	111	96	9

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
1326	2714	48.86%	1336	2733	48.88%	661	1390	47.55%

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
1880	1289	1966	592	989	486

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	Lien
2	8	Columbus Blue Jackets	5	Philadelphia Flyers	3	L			Sommaire du match
4	19	Philadelphia Flyers	4	Detroit Red Wings	7	L			Sommaire du match
7	33	Philadelphia Flyers	4	Detroit Red Wings	3	W	X		Sommaire du match
8	37	Philadelphia Flyers	3	Colorado Avalanche	2	W			Sommaire du match
11	49	New York Islanders	2	Philadelphia Flyers	5	W			Sommaire du match
13	59	Philadelphia Flyers	3	Colorado Avalanche	4	L			Sommaire du match
15	71	Colorado Avalanche	4	Philadelphia Flyers	5	W	X	X	Sommaire du match
20	93	Vancouver Canucks	4	Philadelphia Flyers	1	L			Sommaire du match
23	110	Chicago Blackhawks	4	Philadelphia Flyers	3	L			Sommaire du match
25	117	Philadelphia Flyers	4	New Jersey Devils	2	W			Sommaire du match
30	136	Philadelphia Flyers	6	Tampa Bay Lightning	2	W			Sommaire du match
32	146	Edmonton Oilers	5	Philadelphia Flyers	3	L			Sommaire du match
35	166	Florida Panthers	1	Philadelphia Flyers	3	W			Sommaire du match
38	185	Philadelphia Flyers	3	Columbus Blue Jackets	2	W	X		Sommaire du match
39	192	Calgary Flames	5	Philadelphia Flyers	2	L			Sommaire du match
43	213	Philadelphia Flyers	6	Los Angeles Kings	3	W			Sommaire du match
44	220	Winnipeg Jets	4	Philadelphia Flyers	5	W	X		Sommaire du match
47	234	Philadelphia Flyers	3	Vancouver Canucks	2	W			Sommaire du match
49	247	Arizona Coyotes	5	Philadelphia Flyers	3	L			Sommaire du match
52	261	Philadelphia Flyers	3	Arizona Coyotes	4	L			Sommaire du match
54	271	Dallas Stars	4	Philadelphia Flyers	6	W			Sommaire du match
56	284	Philadelphia Flyers	2	Winnipeg Jets	5	L			Sommaire du match
58	297	New York Islanders	2	Philadelphia Flyers	3	W			Sommaire du match
60	306	Philadelphia Flyers	6	Minnesota Wild	4	W			Sommaire du match
63	322	Minnesota Wild	7	Philadelphia Flyers	3	L			Sommaire du match
66	336	Philadelphia Flyers	6	Dallas Stars	3	W			Sommaire du match
69	348	Tampa Bay Lightning	5	Philadelphia Flyers	7	W			Sommaire du match
72	367	Philadelphia Flyers	5	Columbus Blue Jackets	7	L			Sommaire du match
74	374	Philadelphia Flyers	1	Montreal Canadiens	3	L			Sommaire du match
75	380	Nashville Predators	3	Philadelphia Flyers	1	L			Sommaire du match
78	398	Ottawa Senators	5	Philadelphia Flyers	3	L			Sommaire du match
80	408	Philadelphia Flyers	3	Tampa Bay Lightning	4	L			Sommaire du match
83	426	Los Angeles Kings	3	Philadelphia Flyers	1	L			Sommaire du match
86	441	Philadelphia Flyers	3	Calgary Flames	7	L			Sommaire du match
88	454	Boston Bruins	6	Philadelphia Flyers	4	L			Sommaire du match
90	460	Philadelphia Flyers	4	Boston Bruins	3	W	X		Sommaire du match
93	477	Philadelphia Flyers	2	Chicago Blackhawks	4	L			Sommaire du match
95	484	Chicago Blackhawks	7	Philadelphia Flyers	6	L	X		Sommaire du match
97	495	Philadelphia Flyers	2	San Jose Sharks	4	L			Sommaire du match
100	508	Vancouver Canucks	1	Philadelphia Flyers	5	W			Sommaire du match
104	532	Edmonton Oilers	5	Philadelphia Flyers	1	L			Sommaire du match
107	549	Philadelphia Flyers	6	St. Louis Blues	2	W			Sommaire du match
109	558	Boston Bruins	1	Philadelphia Flyers	6	W			Sommaire du match
111	573	Philadelphia Flyers	3	New York Rangers	2	W			Sommaire du match
113	581	New York Rangers	3	Philadelphia Flyers	8	W			Sommaire du match
116	594	Philadelphia Flyers	2	Edmonton Oilers	3	L			Sommaire du match
118	603	Philadelphia Flyers	3	New York Rangers	4	L			Sommaire du match
120	612	Arizona Coyotes	4	Philadelphia Flyers	2	L			Sommaire du match
122	627	Philadelphia Flyers	3	New York Islanders	5	L			Sommaire du match
124	636	Florida Panthers	4	Philadelphia Flyers	7	W			Sommaire du match
129	659	Detroit Red Wings	3	Philadelphia Flyers	8	W			Sommaire du match
131	670	Philadelphia Flyers	5	Florida Panthers	4	W	X		Sommaire du match
134	684	Philadelphia Flyers	8	Colorado Avalanche	3	W			Sommaire du match
136	692	Colorado Avalanche	3	Philadelphia Flyers	2	L			Sommaire du match
138	703	Philadelphia Flyers	5	Toronto Maple Leafs	4	W			Sommaire du match
140	715	Calgary Flames	1	Philadelphia Flyers	7	W			Sommaire du match
142	728	Philadelphia Flyers	1	Pittsburgh Penguins	5	L			Sommaire du match
144	738	Toronto Maple Leafs	5	Philadelphia Flyers	3	L			Sommaire du match
147	755	Philadelphia Flyers	6	Toronto Maple Leafs	3	W			Sommaire du match
149	764	Philadelphia Flyers	3	New York Islanders	5	L			Sommaire du match
150	773	San Jose Sharks	3	Philadelphia Flyers	6	W			Sommaire du match
153	790	Philadelphia Flyers	5	Los Angeles Kings	6	L	X		Sommaire du match
155	798	Columbus Blue Jackets	2	Philadelphia Flyers	4	W			Sommaire du match
157	817	Philadelphia Flyers	6	New Jersey Devils	3	W			Sommaire du match
159	823	Montreal Canadiens	7	Philadelphia Flyers	8	W	X	X	Sommaire du match
163	845	Columbus Blue Jackets	4	Philadelphia Flyers	1	L			Sommaire du match
167	868	Pittsburgh Penguins	4	Philadelphia Flyers	1	L			Sommaire du match
170	879	Philadelphia Flyers	5	Colorado Avalanche	4	W			Sommaire du match
173	894	New Jersey Devils	3	Philadelphia Flyers	4	W			Sommaire du match
175	908	Philadelphia Flyers	4	Pittsburgh Penguins	2	W			Sommaire du match
177	920	New Jersey Devils	4	Philadelphia Flyers	1	L			Sommaire du match
181	944	Montreal Canadiens	2	Philadelphia Flyers	7	W			Sommaire du match
183	955	Philadelphia Flyers	1	Detroit Red Wings	4	L			Sommaire du match
187	969	Pittsburgh Penguins	0	Philadelphia Flyers	7	W			Sommaire du match
189	979	Philadelphia Flyers	3	Ottawa Senators	2	W			Sommaire du match
190	985	Philadelphia Flyers	5	Detroit Red Wings	4	W	X	X	Sommaire du match
193	997	Philadelphia Flyers	6	Nashville Predators	7	L	X	X	Sommaire du match
194	1004	New York Rangers	1	Philadelphia Flyers	5	W			Sommaire du match
198	1022	Philadelphia Flyers	3	Nashville Predators	7	L			Sommaire du match
200	1029	St. Louis Blues	6	Philadelphia Flyers	1	L			Sommaire du match
204	1048	Philadelphia Flyers	-	Ottawa Senators	-
207	1059	St. Louis Blues	-	Philadelphia Flyers	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	7537	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	267,078	199,225	79,742	158,325	38,348
Attendance PCT	88.59%	99.61%	99.68%	98.95%	95.87%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
1	18568 - 95.04%	1,327,000$	53,079,995$	19537	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
84,710,192$	83,525,000$	83,525,000$	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
83,525,000$	79,876,762$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
1,327,000$	7	421,548$	2,950,836$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
2,950,836$	5,155,717$	3,531,881$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
83,525,000$	4,475,000$	88,000,000$	13,525,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Marcus Johansson	AGE:33	PO:50	OV:78
Max Domi	AGE:29	PO:71	OV:74
Jonathan Drouin	AGE:29	PO:76	OV:71
Dillon Dube	AGE:25	PO:67	OV:71
Brandon Tanev	AGE:32	PO:36	OV:71
Warren Foegele	AGE:28	PO:63	OV:70
Derek Grant	AGE:34	PO:37	OV:69
Noah Gregor	AGE:25	PO:41	OV:68
Marian Studenic	AGE:25	PO:42	OV:67
Dryden Hunt	AGE:28	PO:37	OV:67
Gabriel Fortier	AGE:24	PO:69	OV:66
Joel Teasdale	AGE:25	PO:43	OV:66
Daniel Walcott	AGE:30	PO:47	OV:65
Danick Martel	AGE:29	PO:36	OV:65

Logan Couture	AGE:35	PO:52	OV:81
Max Domi	AGE:29	PO:71	OV:74
Carter Verhaeghe	AGE:28	PO:56	OV:73
Dillon Dube	AGE:25	PO:67	OV:71
Jake Evans	AGE:27	PO:58	OV:70
Isac Lundestrom	AGE:24	PO:81	OV:69
Derek Grant	AGE:34	PO:37	OV:69
Cooper Marody	AGE:27	PO:47	OV:66
Joel Teasdale	AGE:25	PO:43	OV:66
Vinni Lettieri	AGE:29	PO:37	OV:66
Dylan Sikura	AGE:28	PO:52	OV:65

Patrick Kane	AGE:35	PO:58	OV:84
Marcus Johansson	AGE:33	PO:50	OV:78
Brandon Tanev	AGE:32	PO:36	OV:71
Warren Foegele	AGE:28	PO:63	OV:70
Noah Gregor	AGE:25	PO:41	OV:68
Marian Studenic	AGE:25	PO:42	OV:67
Cooper Marody	AGE:27	PO:47	OV:66
Sheldon Rempal	AGE:28	PO:37	OV:66
Logan Shaw	AGE:31	PO:52	OV:65
Riley Barber	AGE:30	PO:48	OV:65
Joel L'Esperance	AGE:28	PO:37	OV:65

Défense #1

Défense #2

Gardien

Jake Muzzin	AGE:35	PO:33	OV:73
Sean Durzi	AGE:25	PO:71	OV:71
Marc Staal	AGE:37	PO:45	OV:71
Jordan Oesterle	AGE:31	PO:35	OV:71
Christopher Tanev	AGE:34	PO:26	OV:71
Braden Schneider	AGE:22	PO:83	OV:69
Patrik Nemeth	AGE:32	PO:59	OV:68

Brendan Smith	AGE:35	PO:48	OV:68
Michael Del Zotto	AGE:33	PO:50	OV:67
Roland McKeown	AGE:28	PO:70	OV:66
Colton White	AGE:27	PO:59	OV:66
Corey Schueneman	AGE:28	PO:37	OV:66
Grant Hutton	AGE:28	PO:37	OV:66

Martin Jones	AGE:34	PO:53	OV:75
Kaapo Kahkonen	AGE:27	PO:58	OV:69
Scott Wedgewood	AGE:31	PO:51	OV:67
Spencer Martin	AGE:28	PO:57	OV:66

Espoirs

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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
Aleksei Kolosov	Philadelphia Flyers	2021	44		Lien
Alexander Muromtsev	Philadelphia Flyers	2022	144	LISTE DE RESERVE
Arsenii Sergeev	Philadelphia Flyers	2021	83	LISTE DE RESERVE	Lien
Benjamin Gaudreau	Philadelphia Flyers	2021	52
Carson Lambos	Philadelphia Flyers	2021	19	PEUT ETRE CREER	Lien
Charlie Schenkel	Philadelphia Flyers	2022	61
Donovan Sebrango	Philadelphia Flyers	2020	142	PEUT ETRE CREER	Lien
Eetu Tuulola	Philadelphia Flyers	2016	111	LISTE DE RESERVE	Lien
Elias Vilen	Philadelphia Flyers	2021	132
Ivan Fedotov	Philadelphia Flyers	2021	70	LISTE DE RESERVE	Lien
Jack Thompson	Philadelphia Flyers	2020	147	PEUT ETRE CREER	Lien
Joakim Kemell	Philadelphia Flyers	2022	7	PEUT ETRE CREER	Lien
John Dahlstrom	Philadelphia Flyers	0	0	SUPPRIMER 26 ANS
Luke Mittelstad	Philadelphia Flyers	0	0	2021-101 WASHINGTON LISTE DE RESERVE	Lien
Marc-Andre Gaudet	Philadelphia Flyers	2022	146	LISTE DE RESERVE	Lien
Matthew Perkins	Philadelphia Flyers	2022	158	LISTE DE RESERVE	Lien
Matvei Averochkin	Philadelphia Flyers	2021	173
Patrick Moynihan	Philadelphia Flyers	2019	150
Philip Kral	Philadelphia Flyers	0	0
Simon Lundmark	Philadelphia Flyers	2020	120	PEUT ETRE CREER	Lien
Tanner Dickinson	Philadelphia Flyers	2020	166		Lien
Tristen Nielsen	Philadelphia Flyers	2018	30	PEUT ETRE CREER	Lien
Tyler Brennan	Philadelphia Flyers	2022	48	LISTE DE RESERVE	Lien
Xavier Simoneau	Philadelphia Flyers	2019	195	PEUT ETRE CREER	Lien
Zachary Bouthillier	Philadelphia Flyers	2018	113
Zack Ostapchuk	Philadelphia Flyers	2021	145	PEUT ETRE CREER	Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
24
25
26
27
28
Choix au repêchage conditionnel

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

Philadelphia Flyers Historique de transactions

[2024-04-01 19:58:13] - New Record for Team's Most Penalties Minutes (29) in 1 Game for Philadelphia Flyers!
[2024-03-28 19:43:25] - New Record for Team's Most Points (23) in 1 Game for Philadelphia Flyers!
[2024-03-28 19:43:25] - New Record for Team's Most Assists (15) in 1 Game for Philadelphia Flyers!
[2024-03-12 22:17:11] - New Record for Team's Most Points (21) in 1 Game for Philadelphia Flyers!
[2024-03-12 22:17:11] - New Record for Team's Most Assists (13) in 1 Game for Philadelphia Flyers!
[2024-03-12 22:17:11] - New Record for Team's Most Goals (8) in 1 Game for Philadelphia Flyers!
[2024-01-25 20:25:50] - New Record for Team's Most Shots Blocked (17) in 1 Game for Philadelphia Flyers!
[2024-01-22 20:02:07] - New Record for Team's Most Shots (46) in 1 Game for Philadelphia Flyers!
[2024-01-17 19:44:49] - New Record for Team's Most Goals (7) in 1 Game for Philadelphia Flyers!
[2024-01-09 22:40:23] - Marian Studenic was added to Philadelphia Flyers.
[2024-01-09 22:37:32] - Noah Gregor was added to Philadelphia Flyers.
[2024-01-04 20:45:34] - New Record for Team's Most Penalties Minutes (27) in 1 Game for Philadelphia Flyers!
[2023-12-23 19:45:24] - New Record for Team's Most Penalties Minutes (20) in 1 Game for Philadelphia Flyers!
[2023-12-13 20:27:11] - TRADE : From Ottawa Senators to Philadelphia Flyers : Sean Durzi (70), Y:24-RND:4-OTT, Y:24-RND:6-OTT.
[2023-12-13 20:27:11] - TRADE : From Philadelphia Flyers to Ottawa Senators : Oliver Moore (P).
[2023-12-10 19:03:33] - New Record for Team's Most Shots Blocked (15) in 1 Game for Philadelphia Flyers!
[2023-12-06 22:21:25] - New Record for Team's Most Points (18) in 1 Game for Philadelphia Flyers!
[2023-12-06 22:21:25] - New Record for Team's Most Assists (12) in 1 Game for Philadelphia Flyers!
[2023-12-06 22:21:25] - New Record for Team's Most Goals (6) in 1 Game for Philadelphia Flyers!
[2023-11-15 19:42:42] - New Record for Team's Most Hits (26) in 1 Game for Philadelphia Flyers!
[2023-11-15 19:42:42] - New Record for Team's Most Shots (42) in 1 Game for Philadelphia Flyers!
[2023-11-15 19:42:42] - New Record for Team's Most Shots (42) in 1 Game for Philadelphia Flyers!
[2023-11-13 20:42:58] - New Record for Team's Most Hits (22) in 1 Game for Philadelphia Flyers!
[2023-11-09 19:08:39] - New Record for Team's Most Hits (21) in 1 Game for Philadelphia Flyers!
[2023-11-09 19:08:39] - New Record for Team's Most Penalties Minutes (19) in 1 Game for Philadelphia Flyers!
[2023-11-09 19:08:39] - New Record for Team's Most Shots Blocked (12) in 1 Game for Philadelphia Flyers!
[2023-11-09 19:08:39] - New Record for Team's Most Points (15) in 1 Game for Philadelphia Flyers!
[2023-11-09 19:08:39] - New Record for Team's Most Assists (10) in 1 Game for Philadelphia Flyers!
[2023-11-09 19:08:39] - New Record for Team's Most Goals (5) in 1 Game for Philadelphia Flyers!

[2024-05-10 17:07:15] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-05-09 21:08:07] Jake Evans from Philadelphia Flyers is back from Bruised Right Foot Injury.
[2024-05-09 21:07:47] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-05-08 19:57:16] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-05-08 19:56:47] Last 7 Days Pro Star : 1 - Patrick Kane of Philadelphia Flyers (4-3-7) / 2 - Joel Farabee of Boston Bruins (4-5-9) / 3 - Nico Hischier of Detroit Red Wings (3-5-8)
[2024-05-07 21:25:46] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-05-07 21:25:17] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-05-07 06:11:31] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-05-07 06:11:27] Pro Game #997 - Patrick Kane from Philadelphia Flyers has scored a Hat Trick!
[2024-05-07 06:10:47] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-05-07 06:10:38] Auto Lines Function has been run for Philadelphia Flyers.
[2024-05-07 06:10:38] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2024-05-06 19:11:33] Warren Foegele from Philadelphia Flyers is back from Left Wrist Injury.
[2024-05-06 19:11:02] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-05-06 19:11:00] Game 985 - Jake Evans from Philadelphia Flyers is injured (Bruised Right Foot) and is out for 2 weeks.
[2024-05-06 06:19:53] Both Philadelphia Flyers and Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-05-05 17:06:15] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-05-02 19:26:47] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-05-01 19:11:19] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-04-30 20:40:02] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-04-29 22:09:04] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.

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: 80 \| W: 41 \| L: 36 \| OTL: 3 \| P: 85 GF: 317 \| GA: 301 \| PP%: 19.04% \| PK%: 80.51% DG: Phillipe Leblanc \| Morale : 47 \| Moyenne d’équipe : 72 Prochains matchs #1048 vs Ottawa Senators