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

Centre de jeu
	Vegas Golden Knights 16-12-3, 35pts	4	FINAL	3	Philadelphia Flyers 12-13-5, 29pts

Team Stats
W6	Séquence	L1
5-8-2	Fiche domicile	9-7-3
11-4-1	Fiche visiteur	3-6-2
7-3-0	Derniers 10 matchs	4-4-2
3.16	Buts par match	3.13
3.06	Buts contre par match	3.57
12.39%	Pourcentage en avantage numérique	19.79%
84.30%	Pourcentage en désavantage numérique	83.74%

Carolina Hurricanes
21-9-1, 43pts

FINAL

Philadelphia Flyers
12-13-5, 29pts

Team Stats
W3	Séquence	L1
12-3-1	Fiche domicile	9-7-3
9-6-0	Fiche visiteur	3-6-2
8-2-0	Derniers 10 matchs	4-4-2
3.77	Buts par match	3.13
3.10	Buts contre par match	3.57
25.24%	Pourcentage en avantage numérique	19.79%
79.17%	Pourcentage en désavantage numérique	83.74%

Philadelphia Flyers
12-13-5, 29pts

Jour 69

Carolina Hurricanes
21-9-1, 43pts

Statistiques d’équipe
L1	Séquence	W3
9-7-3	Fiche domicile	12-3-1
3-6-2	Fiche visiteur	9-6-0
4-4-2	10 derniers matchs	8-2-0
3.13	Buts par match	3.77
3.57	Buts contre par match	3.77
19.79%	Pourcentage en avantage numérique	25.24%
83.74%	Pourcentage en désavantage numérique	79.17%

Philadelphia Flyers
12-13-5, 29pts

Jour 71

Montreal Canadiens
13-14-4, 30pts

Statistiques d’équipe
L1	Séquence	L2
9-7-3	Fiche domicile	8-6-2
3-6-2	Fiche visiteur	5-8-2
4-4-2	10 derniers matchs	5-4-1
3.13	Buts par match	3.61
3.57	Buts contre par match	3.61
19.79%	Pourcentage en avantage numérique	21.55%
83.74%	Pourcentage en désavantage numérique	86.67%

Philadelphia Flyers
12-13-5, 29pts

Jour 73

Buffalo Sabres
13-13-5, 31pts

Statistiques d’équipe
L1	Séquence	L2
9-7-3	Fiche domicile	7-6-3
3-6-2	Fiche visiteur	6-7-2
4-4-2	10 derniers matchs	6-3-1
3.13	Buts par match	3.32
3.57	Buts contre par match	3.32
19.79%	Pourcentage en avantage numérique	23.71%
83.74%	Pourcentage en désavantage numérique	80.70%

Meneurs d'équipe
	Buts Teuvo Teravainen 13	Passes Jake Middleton 20

	Points Teuvo Teravainen 29	Plus/Moins Erik Cernak 8

	Victoires Logan Thompson 7	Pourcentage d’arrêts Jonathan Quick 0.918

Statistiques d’équipe
Buts pour 94 3.13 GFG	Tirs pour 831 27.70 Avg	Pourcentage en avantage numérique 19.8% 19 GF	Début de zone offensive 37.4%
Buts contre 107 3.57 GAA	Tirs contre 976 32.53 Avg	Pourcentage en désavantage numérique 83.7%% 20 GA	Début de la zone défensive 43.4%

Informations de l'équipe
	Directeur général	Johnny Lévesque
	Entraîneur	Bobby Clarke
	Division	Metro Division
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	19,000
	Assistance	18,256
	Billets de saison	17,670
Informations de la formation
	Équipe Pro	26
	Équipe Mineure	20
	Limite contact	46 / 60
	Espoirs	13
Plafond salarial
	Cap Salarial de la Saison estimé	80,951,667$
	Plafond salarial disponible	14,548,333$
	Valeur du plafond salarial spécial	1,250,000$
	Joueurs Inclus dans le plafond salarial	26
Finance
	Revenu annuel à ce jour	33,809,659$
	Dépenses annuelles à ce jour	28,261,022$
	Revenus de la saison estimés	39,148,026$
	Dépenses de la saison estimées	51,474,012$
	Compte bancaire actuel	31,425,855$
	Compte bancaire projeté	26,760,453$

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	Jonathan Huberdeau		X	X		100.00	70	46	74	80	79	89	93	86	50	82	80	72	82	88	84	0	50	79	0	32	5	10,500,000$
2	Jonathan Marchessault	X		X		99.00	72	51	76	81	71	88	93	89	50	80	84	64	85	88	78	0	50	79	0	34	4	5,500,000$
3	Teuvo Teravainen	X	X	X		99.00	67	41	93	81	76	87	91	85	64	82	77	73	81	87	77	0	50	79	0	31	2	2,700,000$
4	Erik Haula	X	X			100.00	75	51	71	78	74	86	90	79	81	73	73	75	77	87	77	0	50	76	0	34	1	3,150,000$
5	Frederick Gaudreau	X	X	X		100.00	69	42	94	82	73	85	88	80	73	74	75	75	79	82	72	0	50	76	0	32	3	2,100,000$
6	Anthony Beauvillier		X			100.00	77	41	92	81	73	84	88	80	52	71	73	72	78	82	72	0	50	75	0	28	2	2,750,000$
7	Radek Faksa	X	X	X		100.00	79	43	82	74	85	84	90	73	86	71	67	78	71	84	74	0	50	75	0	31	3	2,000,000$
8	Connor Brown			X		100.00	67	40	92	78	73	84	88	77	49	72	70	74	75	84	74	0	50	74	0	31	4	3,000,000$
9	Oskar Sundqvist	X				100.00	76	41	76	73	85	84	88	73	67	75	67	74	71	84	74	0	50	74	0	31	1	1,500,000$
10	Logan Stankoven	X		X		100.00	74	40	86	85	71	84	72	79	63	75	72	70	78	55	50	0	50	73	0	22	5	814,167$
11	Peyton Krebs	X	X			100.00	78	67	68	79	78	84	84	75	73	75	69	72	74	68	58	0	50	73	0	24	1	1,450,000$
12	Miles Wood		X	X		100.00	73	62	61	74	79	83	84	75	49	69	67	68	72	84	74	0	50	72	0	30	4	2,500,000$
13	Jake Middleton				X	99.00	73	70	69	81	86	89	85	78	40	74	73	92	77	76	66	0	50	80	0	29	4	4,350,000$
14	Erik Cernak				X	100.00	78	66	69	75	89	87	86	75	40	74	65	92	71	76	66	0	50	79	0	28	5	5,200,000$
15	Rasmus Ristolainen				X	99.00	71	41	86	74	84	89	87	75	40	72	66	81	71	87	77	0	50	77	0	31	2	5,100,000$
16	Artem Zub				X	100.00	71	42	73	78	82	89	82	74	40	72	66	88	73	68	58	0	50	76	0	30	2	4,600,000$
17	Erik Gudbranson				X	100.00	65	53	72	72	87	87	85	71	40	69	63	79	69	89	84	0	50	75	0	33	1	4,000,000$
18	Travis Hamonic				X	100.00	72	45	80	76	77	86	92	72	40	66	64	77	71	90	80	0	50	75	0	35	1	1,000,000$
Rayé
1	Brandon Duhaime			X		100.00	83	87	63	75	82	83	81	74	47	70	68	75	72	63	53	0	50	72	0	28	1	1,850,000$
2	Mikey Eyssimont	X	X	X		100.00	80	73	65	75	77	82	81	78	50	69	70	71	74	63	53	0	50	72	0	29	2	1,450,000$
3	Justin Brazeau			X		100.00	77	40	84	68	84	76	73	71	48	67	67	70	69	56	50	0	50	69	0	27	2	1,500,000$
4	Brayden Pachal				X	100.00	77	68	62	74	81	82	79	71	40	67	64	77	70	62	53	0	50	72	0	26	2	1,187,500$
5	Declan Chisholm				X	100.00	63	42	85	75	78	82	76	71	40	68	64	72	70	62	53	0	50	70	0	25	2	1,600,000$
Équipe Mineure
1	Mitchell Chaffee			X		100.00	77	43	83	74	79	80	76	70	46	64	68	67	71	62	53	0	50	69	0	27	1	800,000$
2	Marat Khusnutdinov	X	X	X		100.00	66	40	83	78	75	81	71	68	66	65	64	70	70	55	50	0	50	68	0	23	2	925,000$
3	Sheldon Dries	X				100.00	55	46	67	69	59	73	72	66	64	61	64	59	67	70	58	0	50	64	0	31	1	775,000$
4	Andre Lee		X			100.00	69	44	72	68	79	71	60	64	41	58	59	62	64	51	50	0	50	63	0	25	2	775,000$
5	Rafael Harvey-Pinard	X	X	X		100.00	61	41	78	70	66	73	67	63	44	62	57	63	64	60	50	0	50	63	0	26	1	775,000$
6	Tanner Laczynski	X				100.00	59	42	72	67	64	69	65	64	45	63	59	62	63	60	50	0	50	62	0	28	1	775,000$
7	Tyson Kozak	X				100.00	64	41	77	71	71	73	62	63	62	58	59	61	65	51	50	0	50	62	0	22	3	775,000$
8	Lleyton Roed		X			100.00	65	41	68	61	68	62	61	61	42	58	57	61	59	50	50	0	50	60	0	23	1	870,000$
9	Emil Lilleberg				X	100.00	73	68	66	74	83	82	72	70	40	71	62	73	68	55	50	0	50	71	0	24	2	800,000$
10	Emil Andrae				X	100.00	64	42	76	75	70	77	68	67	40	64	60	70	67	55	50	0	50	67	0	23	1	903,333$
11	Ville Heinola				X	100.00	58	41	72	74	70	75	66	65	40	61	59	68	66	65	59	0	50	66	0	24	1	800,000$
12	Alex Petrovic				X	100.00	62	46	63	64	68	72	72	64	40	62	55	68	61	68	61	0	50	65	0	33	1	775,000$
13	Ryan Johnson				X	100.00	62	43	71	68	70	70	63	65	40	60	56	68	63	52	50	0	50	64	0	24	3	775,000$
14	Montana Onyebuchi				X	100.00	65	62	53	65	68	66	64	61	40	53	54	67	60	53	50	0	50	62	0	25	2	775,000$
15	Marc-Andre Gaudet				X	100.00	60	40	62	62	62	58	57	54	40	53	53	61	56	50	50	0	50	58	0	22	2	802,500$
16	Alex Kannok Leipert				X	100.00	61	53	59	65	64	64	62	58	40	52	53	62	59	52	50	0	50	60	0	25	0	0$
17	Christian Felton				X	100.00	58	40	66	62	61	61	58	55	40	53	53	60	57	52	50	0	50	58	0	25	0	0$

	MOYENNE D’ÉQUIPE					99.90	69	49	74	73	75	79	77	71	50	67	65	71	70	68	61	0	50	70

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	Logan Thompson	95.00	90	87	88	85	92	90	88	90	89	90	83	68	61	0	50	81	0	28	5	5,850,000$
2	Cam Talbot	100.00	76	90	91	80	90	89	85	87	88	86	83	87	80	0	50	79	0	38	1	2,500,000$
Rayé
1	Jonathan Quick	100.00	68	83	83	84	79	81	79	82	82	77	77	93	86	0	50	74	0	39	1	1,550,000$
Équipe Mineure
1	Jet Greaves	100.00	80	69	71	72	74	77	80	78	79	75	68	56	52	0	50	69	0	24	1	812,500$
2	Ivan Fedotov	100.00	77	72	71	89	76	73	70	71	73	75	71	55	51	0	50	68	0	29	1	3,275,000$
3	Talyn Boyko	100.00	62	57	57	67	62	61	62	59	62	60	54	50	50	0	50	57	0	23	1	775,000$

	MOYENNE D’ÉQUIPE	99.17	76	76	77	80	79	79	77	78	79	77	73	68	63	0	50	71

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bobby Clarke	1	1	1	1	1	1	1	CAN	76	5	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	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Teuvo Teravainen	Philadelphia Flyers	C/LW/RW	31	13	16	29	0	4	0	17	42	84	26	64	15.48%	5	583	18.82	3	3	6	15	94	0	19	2	0	40.00%	195	1	0	0.99	1	1	0	2	2	1
2	Jake Middleton	Philadelphia Flyers	D	30	6	20	26	0	35	5	79	44	41	18	36	14.63%	51	734	24.49	3	5	8	23	76	1	97	2	0	0%	0	0	0	0.71	0	0	1	2	4	1
3	Rasmus Ristolainen	Philadelphia Flyers	D	30	5	18	23	4	22	0	34	23	33	13	17	15.15%	51	739	24.65	2	5	7	14	77	0	98	0	1	0%	0	0	0	0.62	0	0	0	0	1	2
4	Anthony Beauvillier	Philadelphia Flyers	LW	30	8	12	20	-2	10	0	32	41	70	19	43	11.43%	8	536	17.88	0	7	7	14	79	4	102	0	0	42.59%	216	0	0	0.75	0	1	0	1	1	1
5	Artem Zub	Philadelphia Flyers	D	30	5	12	17	-8	22	0	39	34	59	16	34	8.47%	59	601	20.04	3	5	8	40	82	0	67	0	1	0%	0	0	0	0.57	0	0	0	0	0	1
6	Jonathan Huberdeau	Philadelphia Flyers	LW/RW	30	3	14	17	1	24	0	40	47	54	13	32	5.56%	5	424	14.14	0	0	0	0	0	0	0	0	0	37.43%	505	0	0	0.80	0	0	0	1	0	0
7	Frederick Gaudreau	Philadelphia Flyers	C/LW/RW	30	8	8	16	-7	2	0	13	71	77	14	61	10.39%	4	621	20.73	1	3	4	12	79	4	101	0	1	45.88%	656	0	1	0.51	0	1	0	1	0	1
8	Jonathan Marchessault	Philadelphia Flyers	C/RW	30	10	6	16	0	17	5	65	25	69	26	54	14.49%	3	618	20.63	3	1	4	17	80	3	102	1	0	36.54%	52	0	0	0.52	2	3	1	1	1	1
9	Erik Cernak	Philadelphia Flyers	D	32	2	13	15	8	34	0	72	41	35	6	15	5.71%	54	585	18.30	0	1	1	4	23	0	40	0	0	0%	0	0	0	0.51	0	0	0	1	1	0
10	Connor Brown	Philadelphia Flyers	RW	30	5	9	14	-1	4	0	14	32	57	16	39	8.77%	3	477	15.92	0	2	2	4	80	0	47	1	0	29.83%	238	0	0	0.59	0	3	0	2	0	0
11	Radek Faksa	Philadelphia Flyers	C/LW/RW	30	7	6	13	-5	16	0	35	31	64	15	47	10.94%	3	500	16.67	2	2	4	14	79	0	0	1	0	62.22%	45	0	0	0.52	0	0	0	2	1	1
12	Erik Gudbranson	Philadelphia Flyers	D	30	1	11	12	-5	6	0	17	18	18	3	9	5.56%	24	432	14.40	0	0	0	0	1	0	7	0	0	0%	0	0	0	0.56	0	0	0	0	0	0
13	Travis Hamonic	Philadelphia Flyers	D	30	4	8	12	-9	16	0	42	27	30	18	17	13.33%	43	645	21.52	3	4	7	14	81	1	96	0	0	0%	0	0	0	0.37	0	0	0	0	2	0
14	Erik Haula	Philadelphia Flyers	C/LW	30	5	5	10	-6	6	0	8	25	30	8	24	16.67%	2	238	7.95	0	1	1	0	2	0	7	1	1	50.44%	228	0	0	0.84	0	0	0	0	0	1
15	Logan Stankoven	Philadelphia Flyers	C/RW	30	3	5	8	-6	4	0	4	22	35	7	27	8.57%	3	227	7.58	0	0	0	0	0	0	0	0	0	35.29%	17	0	0	0.70	0	0	0	0	0	1
16	Peyton Krebs	Philadelphia Flyers	C/LW	30	4	4	8	-1	22	0	36	30	43	5	39	9.30%	1	418	13.95	0	0	0	0	0	0	0	0	0	58.33%	36	0	0	0.38	0	0	0	0	1	0
17	Oskar Sundqvist	Philadelphia Flyers	C	31	3	4	7	-4	2	0	17	11	16	4	26	18.75%	0	232	7.49	0	0	0	0	0	0	0	0	0	66.67%	21	0	0	0.60	0	0	0	0	1	0
18	Miles Wood	Philadelphia Flyers	LW/RW	17	2	4	6	1	14	0	27	20	14	6	9	14.29%	1	189	11.17	0	0	0	0	0	0	0	1	0	43.11%	225	0	0	0.63	0	0	0	1	0	0
19	Mikey Eyssimont	Philadelphia Flyers	C/LW/RW	13	0	3	3	2	18	0	33	14	12	4	11	0%	2	157	12.08	0	0	0	0	0	0	8	0	0	28.71%	202	0	0	0.38	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				544	94	178	272	-38	278	10	624	598	841	237	604	11.18%	322	8964	16.48	20	39	59	171	840	13	795	9	4	41.31%	2636	1	1	0.61	3	9	2	14	15	11

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	GA	SA	EG	PS %	PSA	ST	BG	S3
1	Logan Thompson	Philadelphia Flyers	19	7	8	3	0.896	3.39	1061	2	60	577	1	0.500	4	19	0	2
2	Jonathan Quick	Philadelphia Flyers	6	2	2	1	0.918	2.50	336	2	14	170	0	0	0	5	6	0
3	Cam Talbot	Philadelphia Flyers	8	1	5	0	0.859	4.94	413	0	34	241	0	0.750	4	8	22	1
Statistiques d’équipe totales ou en moyenne			33	10	15	4	0.891	3.58	1811	4	108	988	1		8	32	28	3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10	Lien
Anthony Beauvillier	Philadelphia Flyers	LW	28	1997-06-08	CAN	No	180 Lbs	5 ft11	No	No	Assign Manually		No	No	2	2025-07-03	False	False	Pro & Farm	2,750,000$	1,776,042$	2,750,000$	1,776,042$	No	2,750,000$	-	-	-	-	-	-	-	-	2,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Artem Zub	Philadelphia Flyers	D	30	1995-10-03	RUS	No	200 Lbs	6 ft3	No	No	Trade	2025-10-07	No	No	2	2025-05-26	False	False	Pro & Farm	4,600,000$	2,970,833$	4,600,000$	2,970,833$	No	4,600,000$	-	-	-	-	-	-	-	-	4,600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Brandon Duhaime	Philadelphia Flyers	RW	28	1997-05-22	USA	No	210 Lbs	6 ft2	No	No	Assign Manually		No	Yes	1	2025-05-26	False	False	Pro & Farm	1,850,000$	1,194,792$	1,850,000$	1,194,792$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Brayden Pachal	Philadelphia Flyers	D	26	1999-08-23	CAN	No	202 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2025-06-29	False	False	Pro & Farm	1,187,500$	766,927$	1,187,500$	766,927$	No	1,187,500$	-	-	-	-	-	-	-	-	1,187,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Cam Talbot	Philadelphia Flyers	G	38	1987-07-05	CAN	No	200 Lbs	6 ft4	No	No	Trade	2025-11-22	No	Yes	1	2025-05-26	False	False	Pro & Farm	2,500,000$	1,614,583$	2,500,000$	1,614,583$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Connor Brown	Philadelphia Flyers	RW	31	1994-01-14	CAN	No	184 Lbs	6 ft0	No	No	Assign Manually		No	No	4	2025-07-02	False	False	Pro & Farm	3,000,000$	1,937,500$	3,000,000$	1,937,500$	No	3,000,000$	3,000,000$	3,000,000$	-	-	-	-	-	-	3,000,000$	3,000,000$	3,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Declan Chisholm	Philadelphia Flyers	D	25	2000-01-12	CAN	No	190 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2025-07-02	False	False	Pro & Farm	1,600,000$	1,033,333$	1,600,000$	1,033,333$	No	1,600,000$	-	-	-	-	-	-	-	-	1,600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Erik Cernak	Philadelphia Flyers	D	28	1997-05-28	SVK	No	230 Lbs	6 ft4	No	No	Trade	2025-11-10	No	No	5	2025-05-26	False	False	Pro & Farm	5,200,000$	3,358,333$	5,200,000$	3,358,333$	No	5,200,000$	5,200,000$	5,200,000$	5,200,000$	-	-	-	-	-	5,200,000$	5,200,000$	5,200,000$	5,200,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Erik Gudbranson	Philadelphia Flyers	D	33	1992-01-07	CAN	No	222 Lbs	6 ft5	No	No	Trade	2025-09-26	No	No	1	2025-05-26	False	False	Pro & Farm	4,000,000$	2,583,333$	4,000,000$	2,583,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Erik Haula	Philadelphia Flyers	C/LW	34	1991-03-23	FIN	No	191 Lbs	5 ft11	No	No	Trade	2025-10-07	No	No	1	2025-05-26	False	False	Pro & Farm	3,150,000$	2,034,375$	3,150,000$	2,034,375$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Frederick Gaudreau	Philadelphia Flyers	C/LW/RW	32	1993-05-01	CAN	No	184 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2025-05-26	False	False	Pro & Farm	2,100,000$	1,356,250$	2,100,000$	1,356,250$	No	2,100,000$	2,100,000$	-	-	-	-	-	-	-	2,100,000$	2,100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Jake Middleton	Philadelphia Flyers	D	29	1996-01-02	CAN	No	219 Lbs	6 ft3	No	No	Assign Manually		No	No	4	2025-07-03	False	False	Pro & Farm	4,350,000$	2,809,375$	4,350,000$	2,809,375$	No	4,350,000$	4,350,000$	4,350,000$	-	-	-	-	-	-	4,350,000$	4,350,000$	4,350,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Jonathan Huberdeau	Philadelphia Flyers	LW/RW	32	1993-06-04	CAN	No	200 Lbs	6 ft1	No	No	Trade	2025-10-07	No	No	5	2025-05-26	False	False	Pro & Farm	10,500,000$	6,781,250$	10,500,000$	6,781,250$	No	10,500,000$	10,500,000$	10,500,000$	10,500,000$	-	-	-	-	-	10,500,000$	10,500,000$	10,500,000$	10,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Jonathan Marchessault	Philadelphia Flyers	C/RW	34	1990-12-27	CAN	No	185 Lbs	5 ft9	No	No	Assign Manually		No	No	4	2025-05-26	False	False	Pro & Farm	5,500,000$	3,552,083$	5,500,000$	3,552,083$	No	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Jonathan Quick	Philadelphia Flyers	G	39	1986-01-21	USA	No	220 Lbs	6 ft1	No	No	Trade	2025-10-07	No	Yes	1	2025-06-29	False	False	Pro & Farm	1,550,000$	1,001,042$	1,550,000$	1,001,042$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Justin Brazeau	Philadelphia Flyers	RW	27	1998-02-02	CAN	No	227 Lbs	6 ft6	No	No	Trade	2025-10-07	No	Yes	2	2025-07-02	False	False	Pro & Farm	1,500,000$	968,750$	1,500,000$	968,750$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Logan Stankoven	Philadelphia Flyers	C/RW	22	2003-02-26	CAN	No	165 Lbs	5 ft8	No	No	Trade	2025-09-27	No	No	5	2025-07-02	False	False	Pro & Farm	814,167$	525,816$	814,167$	525,816$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	-	-	-	-	-	6,000,000$	6,000,000$	6,000,000$	6,000,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Logan Thompson	Philadelphia Flyers	G	28	1997-02-25	CAN	No	207 Lbs	6 ft4	No	No	Assign Manually		No	Yes	5	2025-06-29	False	False	Pro & Farm	5,850,000$	3,778,125$	5,850,000$	3,778,125$	No	5,850,000$	5,850,000$	5,850,000$	5,850,000$	-	-	-	-	-	5,850,000$	5,850,000$	5,850,000$	5,850,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Lien NHL
Mikey Eyssimont	Philadelphia Flyers	C/LW/RW	29	1996-09-09	USA	No	191 Lbs	6 ft0	No	No	Assign Manually		No	Yes	2	2025-07-02	False	False	Pro & Farm	1,450,000$	936,458$	1,450,000$	936,458$	No	1,450,000$	-	-	-	-	-	-	-	-	1,450,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Miles Wood	Philadelphia Flyers	LW/RW	30	1995-09-13	USA	No	195 Lbs	6 ft2	No	No	Assign Manually		No	Yes	4	2025-05-26	False	False	Pro & Farm	2,500,000$	1,614,583$	2,500,000$	1,614,583$	No	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	-	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien NHL
Oskar Sundqvist	Philadelphia Flyers	C	31	1994-03-23	SWE	No	220 Lbs	6 ft3	No	No	Trade	2025-10-09	No	No	1	2025-05-26	False	False	Pro & Farm	1,500,000$	968,750$	1,500,000$	968,750$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Peyton Krebs	Philadelphia Flyers	C/LW	24	2001-01-26	CAN	No	186 Lbs	6 ft0	No	No	Trade	2025-09-29	No	No	1	2025-05-26	False	False	Pro & Farm	1,450,000$	936,458$	1,450,000$	936,458$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Radek Faksa	Philadelphia Flyers	C/LW/RW	31	1994-01-09	CZE	No	215 Lbs	6 ft3	No	No	Assign Manually		No	No	3	2025-07-02	False	False	Pro & Farm	2,000,000$	1,291,667$	2,000,000$	1,291,667$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Rasmus Ristolainen	Philadelphia Flyers	D	31	1994-10-27	FIN	No	208 Lbs	6 ft4	No	No	Assign Manually		No	No	2	2025-05-26	False	False	Pro & Farm	5,100,000$	3,293,750$	5,100,000$	3,293,750$	No	5,100,000$	-	-	-	-	-	-	-	-	5,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Teuvo Teravainen	Philadelphia Flyers	C/LW/RW	31	1994-09-11	FIN	No	191 Lbs	5 ft11	No	No	Trade	2025-11-10	No	No	2	2025-11-10	False	False	Pro & Farm	2,700,000$	1,743,750$	2,700,000$	1,743,750$	No	2,700,000$	-	-	-	-	-	-	-	-	2,700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Travis Hamonic	Philadelphia Flyers	D	35	1990-08-16	CAN	No	195 Lbs	6 ft0	No	No	Fantasy Draft		No	No	1	2025-08-19	False	False	Pro & Farm	1,000,000$	645,833$	1,000,000$	645,833$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
26	30.23	201 Lbs	6 ft1	2.54	3,065,449$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
79,701,667$	67,887,500$	47,000,000$	42,900,000$	27,550,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Teuvo Teravainen	Jonathan Huberdeau	Jonathan Marchessault	30	1	2	2
2	Radek Faksa	Frederick Gaudreau	Peyton Krebs	30	1	2	2
3	Anthony Beauvillier	Miles Wood	Connor Brown	25	1	2	2
4	Oskar Sundqvist	Erik Haula	Logan Stankoven	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Middleton	Rasmus Ristolainen	30	1	2	2
2	Artem Zub	Travis Hamonic	30	1	2	2
3	Erik Cernak	Erik Gudbranson	25	1	2	2
4	Rasmus Ristolainen	Jake Middleton	15	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Teuvo Teravainen	Connor Brown	Jonathan Marchessault	50	1	2	2
2	Radek Faksa	Frederick Gaudreau	Anthony Beauvillier	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Middleton	Rasmus Ristolainen	50	1	2	2
2	Artem Zub	Travis Hamonic	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Anthony Beauvillier	Jonathan Marchessault	50	1	2	2
2	Connor Brown	Frederick Gaudreau	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Middleton	Rasmus Ristolainen	50	1	2	2
2	Artem Zub	Travis Hamonic	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Anthony Beauvillier	50	1	2	2	Jake Middleton	Rasmus Ristolainen	50	1	2	2
2	Jonathan Marchessault	50	1	2	2	Artem Zub	Travis Hamonic	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Anthony Beauvillier	Jonathan Marchessault	50	1	2	2
2	Connor Brown	Frederick Gaudreau	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Middleton	Rasmus Ristolainen	50	1	2	2
2	Erik Gudbranson	Travis Hamonic	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Teuvo Teravainen	Jonathan Huberdeau	Jonathan Marchessault	Jake Middleton	Rasmus Ristolainen

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Teuvo Teravainen	Jonathan Huberdeau	Jonathan Marchessault	Jake Middleton	Rasmus Ristolainen

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Anthony Beauvillier, Connor Brown, Jonathan Marchessault	Anthony Beauvillier, Connor Brown	Jonathan Marchessault

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Travis Hamonic, Jake Middleton, Rasmus Ristolainen	Jake Middleton	Jake Middleton, Rasmus Ristolainen

Tirs de pénalité
Connor Brown, Jonathan Marchessault, Anthony Beauvillier, Frederick Gaudreau, Radek Faksa

Gardien
#1 : Logan Thompson, #2 : Cam Talbot

Lignes d’attaque personnalisées en prolongation
Jonathan Huberdeau, Jonathan Marchessault, Teuvo Teravainen, Frederick Gaudreau, Radek Faksa, Anthony Beauvillier, Peyton Krebs, Connor Brown, Oskar Sundqvist, Erik Haula

Lignes de défense personnalisées en prolongation
Jake Middleton, Rasmus Ristolainen, Erik Gudbranson, Travis Hamonic, Artem Zub

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	Buffalo Sabres	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	36	13	11	12	0	26	9	8	33	4	0	0.00%	2	1	50.00%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	25	18	21	7	12	6
2	Calgary Flames	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	1	0	0	1	1	0	15	3	5	7	0	34	14	6	25	2	2	100.00%	3	1	66.67%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	22	16	25	6	11	5
3	Carolina Hurricanes	2	0	2	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	0	0	0	0	56	15	18	23	0	85	33	14	39	5	0	0.00%	7	2	71.43%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	43	28	51	14	25	12
4	Colorado Avalanche	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	3	0	0	0	23	10	9	4	0	19	8	7	17	4	0	0.00%	1	0	100.00%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	25	18	22	6	11	6
5	Dallas Stars	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	5	4	1	2	1.000	5	7	12	0	0	1	1	2	1	28	10	6	10	5	25	9	10	8	6	2	33.33%	3	1	66.67%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	26	18	25	7	13	6
6	Edmonton Oilers	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	4	7	0	0	1	0	2	0	18	7	7	4	0	51	17	16	28	1	0	0.00%	8	0	100.00%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	18	11	29	7	11	5
7	Florida Panthers	3	0	2	0	0	1	0	0	5	13	-8	1	0	0	0	0	1	0	0	3	4	-1	2	0	2	0	0	0	0	0	2	9	-7	1	0.167	5	10	15	0	0	3	0	2	0	81	33	21	24	3	108	40	28	58	7	2	28.57%	14	3	78.57%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	64	44	81	21	38	18
8	Minnesota Wild	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	1	1	0	0	27	11	8	8	0	29	13	8	24	3	0	0.00%	3	2	33.33%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	24	16	23	7	12	6
9	Montreal Canadiens	1	0	0	0	0	0	0	1	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	5	6	-1	1	0.500	5	8	13	0	0	1	1	3	1	33	13	10	7	7	42	18	16	23	3	0	0.00%	8	3	62.50%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	27	18	25	7	12	6
10	Nashville Predators	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	8	13	21	1	0	4	3	1	0	49	18	11	20	0	70	13	8	45	5	1	20.00%	4	0	100.00%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	46	31	49	14	24	12
11	New Jersey Devils	2	1	0	0	0	1	0	0	6	5	1	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	6	9	15	0	0	2	1	3	0	61	21	21	19	0	66	26	14	37	5	2	40.00%	7	0	100.00%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	46	33	51	14	25	12
12	New York Islanders	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	6	12	18	0	0	1	3	2	0	61	23	18	20	0	54	19	16	40	4	1	25.00%	7	1	85.71%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	51	37	44	13	24	12
13	Ottawa Senators	2	2	0	0	0	0	0	0	12	7	5	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	12	22	34	0	0	4	1	7	0	60	15	26	19	0	55	12	23	44	8	2	25.00%	8	1	87.50%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	47	33	46	14	26	12
14	Pittsburgh Penguins	2	1	1	0	0	0	0	0	7	7	0	2	1	1	0	0	0	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	13	20	0	0	0	3	4	0	46	16	18	12	0	51	19	26	57	7	1	14.29%	12	1	91.67%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	43	29	50	15	26	12
15	San Jose Sharks	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	8	1	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	15	23	0	0	5	1	2	0	38	15	7	16	0	40	6	10	14	5	3	60.00%	5	0	100.00%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	25	18	21	7	12	6
16	Seattle Kraken	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	23	7	10	6	0	45	4	25	15	3	0	0.00%	8	0	100.00%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	20	12	27	7	11	6
17	St. Louis Blues	2	1	1	0	0	0	0	0	7	9	-2	1	1	0	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	7	14	21	0	0	0	5	2	0	47	9	21	17	0	62	20	20	38	2	1	50.00%	7	2	71.43%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	46	32	48	13	24	11
18	Tampa Bay Lightning	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	2	0	1	0	27	10	5	12	0	19	5	8	16	6	0	0.00%	4	0	100.00%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	24	17	22	7	12	6
19	Toronto Maple Leafs	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	1	2	0	23	3	9	11	0	34	9	10	12	6	1	16.67%	5	0	100.00%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	21	14	25	8	12	5
20	Vegas Golden Knights	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	6	9	0	0	2	0	1	0	38	17	8	13	0	28	8	8	19	7	1	14.29%	4	1	75.00%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	26	18	21	7	12	6
21	Winnipeg Jets	1	0	0	0	0	0	0	1	4	5	-1	1	0	0	0	0	0	0	1	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	8	12	0	0	1	1	2	0	41	8	13	15	7	33	9	6	19	3	0	0.00%	3	1	66.67%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	27	19	24	8	13	6
	Total	30	11	13	0	0	3	1	2	94	107	-13	19	9	7	0	0	2	0	1	65	64	1	11	2	6	0	0	1	1	1	29	43	-14	29	0.483	94	167	261	2	0	32	24	37	2	831	277	262	279	22	976	311	287	611	96	19	19.79%	123	20	83.74%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	705	489	738	219	378	186
	_Since Last GM Reset	30	11	13	0	0	3	1	2	94	107	-13	19	9	7	0	0	2	0	1	65	64	1	11	2	6	0	0	1	1	1	29	43	-14	29	0.483	94	167	261	2	0	32	24	37	2	831	277	262	279	22	976	311	287	611	96	19	19.79%	123	20	83.74%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	705	489	738	219	378	186
	_Vs Conference	17	7	7	0	0	2	0	1	48	57	-9	9	5	3	0	0	1	0	0	28	27	1	8	2	4	0	0	1	0	1	20	30	-10	17	0.500	48	86	134	0	0	14	10	24	1	484	162	157	159	10	540	190	163	359	55	9	16.36%	74	12	83.78%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	395	274	419	124	216	106
	_Vs Division	8	3	4	0	0	1	0	0	19	25	-6	5	3	2	0	0	0	0	0	14	14	0	3	0	2	0	0	1	0	0	5	11	-6	7	0.438	19	34	53	0	0	3	7	9	0	224	75	75	74	0	256	97	70	173	21	4	19.05%	33	4	87.88%	0	372	946	39.32%	480	1098	43.72%	207	484	42.77%	184	128	196	57	101	50

			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
30	29	L1	94	167	261	831	976	311	287	611	2	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	11	13	0	3	1	2	94	107

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	9	7	0	2	0	1	65	64

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	2	6	0	1	1	1	29	43

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	4	0	2	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
96	19	19.79%	123	20	83.74%	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
277	262	279	22	32	24	37	2

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
372	946	39.32%	480	1098	43.72%	207	484	42.77%

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
705	489	738	219	378	186

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
3	12	Philadelphia Flyers	1	Florida Panthers	6	L			Sommaire du match
5	30	Philadelphia Flyers	0	Carolina Hurricanes	3	L			Sommaire du match
7	44	Florida Panthers	4	Philadelphia Flyers	3	L	X		Sommaire du match
10	66	Winnipeg Jets	5	Philadelphia Flyers	4	L	X	X	Sommaire du match
12	81	Minnesota Wild	5	Philadelphia Flyers	2	L			Sommaire du match
14	94	Seattle Kraken	3	Philadelphia Flyers	1	L			Sommaire du match
17	112	Philadelphia Flyers	5	Ottawa Senators	3	W			Sommaire du match
19	127	New York Islanders	1	Philadelphia Flyers	3	W			Sommaire du match
22	150	Pittsburgh Penguins	3	Philadelphia Flyers	2	L			Sommaire du match
24	170	Nashville Predators	2	Philadelphia Flyers	5	W			Sommaire du match
26	188	Toronto Maple Leafs	2	Philadelphia Flyers	4	W			Sommaire du match
27	196	Calgary Flames	4	Philadelphia Flyers	2	L			Sommaire du match
29	204	Philadelphia Flyers	5	Montreal Canadiens	6	L	X	X	Sommaire du match
31	223	Philadelphia Flyers	3	Nashville Predators	5	L			Sommaire du match
33	232	Ottawa Senators	4	Philadelphia Flyers	7	W			Sommaire du match
37	266	Edmonton Oilers	6	Philadelphia Flyers	3	L			Sommaire du match
39	280	Philadelphia Flyers	1	St. Louis Blues	4	L			Sommaire du match
40	293	Philadelphia Flyers	5	Dallas Stars	4	W	X	X	Sommaire du match
45	324	St. Louis Blues	5	Philadelphia Flyers	6	W			Sommaire du match
47	339	New Jersey Devils	2	Philadelphia Flyers	4	W			Sommaire du match
49	353	Philadelphia Flyers	3	Tampa Bay Lightning	1	W			Sommaire du match
51	363	Philadelphia Flyers	1	Florida Panthers	3	L			Sommaire du match
53	381	Philadelphia Flyers	3	New York Islanders	5	L			Sommaire du match
54	395	Philadelphia Flyers	2	New Jersey Devils	3	L	X		Sommaire du match
56	407	Pittsburgh Penguins	4	Philadelphia Flyers	5	W			Sommaire du match
58	423	Buffalo Sabres	3	Philadelphia Flyers	0	L			Sommaire du match
62	453	Colorado Avalanche	2	Philadelphia Flyers	3	W			Sommaire du match
64	469	San Jose Sharks	1	Philadelphia Flyers	8	W			Sommaire du match
66	483	Vegas Golden Knights	4	Philadelphia Flyers	3	L	X		Sommaire du match
68	501	Carolina Hurricanes	4	Philadelphia Flyers	0	L			Sommaire du match
69	510	Philadelphia Flyers	-	Carolina Hurricanes	-
71	521	Philadelphia Flyers	-	Montreal Canadiens	-
73	535	Philadelphia Flyers	-	Buffalo Sabres	-
75	549	Philadelphia Flyers	-	New York Rangers	-
77	572	Vancouver Canucks	-	Philadelphia Flyers	-
78	583	Philadelphia Flyers	-	Chicago Blackhawks	-
83	605	Philadelphia Flyers	-	Seattle Kraken	-
85	621	Philadelphia Flyers	-	Vancouver Canucks	-
86	630	Philadelphia Flyers	-	Calgary Flames	-
89	647	Philadelphia Flyers	-	Edmonton Oilers	-
92	670	Anaheim Ducks	-	Philadelphia Flyers	-
94	686	Toronto Maple Leafs	-	Philadelphia Flyers	-
96	705	Tampa Bay Lightning	-	Philadelphia Flyers	-
98	719	Tampa Bay Lightning	-	Philadelphia Flyers	-
100	736	Philadelphia Flyers	-	Buffalo Sabres	-
101	741	Philadelphia Flyers	-	Pittsburgh Penguins	-
103	755	New York Rangers	-	Philadelphia Flyers	-
105	775	Philadelphia Flyers	-	Vegas Golden Knights	-
107	790	Philadelphia Flyers	-	Utah Mammoth	-
109	805	Philadelphia Flyers	-	Colorado Avalanche	-
112	827	New York Islanders	-	Philadelphia Flyers	-
114	840	Philadelphia Flyers	-	Columbus Blue Jackets	-
115	843	Philadelphia Flyers	-	Boston Bruins	-
117	859	Los Angeles Kings	-	Philadelphia Flyers	-
120	889	Washington Capitals	-	Philadelphia Flyers	-
122	907	Ottawa Senators	-	Philadelphia Flyers	-
142	911	Philadelphia Flyers	-	Washington Capitals	-
143	924	Philadelphia Flyers	-	New York Rangers	-
145	935	Boston Bruins	-	Philadelphia Flyers	-
147	954	Philadelphia Flyers	-	Toronto Maple Leafs	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150	976	Utah Mammoth	-	Philadelphia Flyers	-
152	993	Philadelphia Flyers	-	Pittsburgh Penguins	-
154	1008	New York Rangers	-	Philadelphia Flyers	-
156	1026	Washington Capitals	-	Philadelphia Flyers	-
157	1035	Philadelphia Flyers	-	Minnesota Wild	-
159	1052	Columbus Blue Jackets	-	Philadelphia Flyers	-
163	1082	Philadelphia Flyers	-	Anaheim Ducks	-
164	1093	Philadelphia Flyers	-	Los Angeles Kings	-
166	1103	Philadelphia Flyers	-	San Jose Sharks	-
169	1125	Columbus Blue Jackets	-	Philadelphia Flyers	-
171	1142	Chicago Blackhawks	-	Philadelphia Flyers	-
173	1163	Philadelphia Flyers	-	Detroit Red Wings	-
174	1172	Dallas Stars	-	Philadelphia Flyers	-
176	1184	Philadelphia Flyers	-	Washington Capitals	-
178	1196	Detroit Red Wings	-	Philadelphia Flyers	-
179	1205	Philadelphia Flyers	-	New York Islanders	-
181	1224	Boston Bruins	-	Philadelphia Flyers	-
183	1236	Philadelphia Flyers	-	New Jersey Devils	-
185	1250	Philadelphia Flyers	-	Detroit Red Wings	-
187	1272	Philadelphia Flyers	-	Winnipeg Jets	-
189	1284	Carolina Hurricanes	-	Philadelphia Flyers	-
190	1294	Montreal Canadiens	-	Philadelphia Flyers	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	2000
Prix des billets	90	60	45	30	190
Assistance	108,881	92,634	36,304	73,149	35,905
Attendance PCT	95.51%	97.51%	95.54%	96.25%	94.49%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
22	18256 - 96.09%	1,779,456$	33,809,659$	19000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
28,261,022$	79,701,667$	79,701,667$	1$0$	1,250,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
79,701,667$	28,275,084$	0$	26	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
39,148,026$	124	415,113$	51,474,012$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
52,518,668$	31,425,855$	26,760,453$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
80,951,667$	14,548,333$	95,500,000$	10,351,667$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jonathan Huberdeau	AGE:32	PO:0	OV:79
Teuvo Teravainen	AGE:31	PO:0	OV:79
Erik Haula	AGE:34	PO:0	OV:76
Frederick Gaudreau	AGE:32	PO:0	OV:76
Anthony Beauvillier	AGE:28	PO:0	OV:75
Radek Faksa	AGE:31	PO:0	OV:75
Peyton Krebs	AGE:24	PO:0	OV:73
Mikey Eyssimont	AGE:29	PO:0	OV:72
Miles Wood	AGE:30	PO:0	OV:72
Marat Khusnutdinov	AGE:23	PO:0	OV:68
Andre Lee	AGE:25	PO:0	OV:63
Rafael Harvey-Pinard	AGE:26	PO:0	OV:63
Lleyton Roed	AGE:23	PO:0	OV:60

Jonathan Marchessault	AGE:34	PO:0	OV:79
Teuvo Teravainen	AGE:31	PO:0	OV:79
Erik Haula	AGE:34	PO:0	OV:76
Frederick Gaudreau	AGE:32	PO:0	OV:76
Radek Faksa	AGE:31	PO:0	OV:75
Oskar Sundqvist	AGE:31	PO:0	OV:74
Logan Stankoven	AGE:22	PO:0	OV:73
Peyton Krebs	AGE:24	PO:0	OV:73
Mikey Eyssimont	AGE:29	PO:0	OV:72
Marat Khusnutdinov	AGE:23	PO:0	OV:68
Sheldon Dries	AGE:31	PO:0	OV:64
Rafael Harvey-Pinard	AGE:26	PO:0	OV:63
Tanner Laczynski	AGE:28	PO:0	OV:62
Tyson Kozak	AGE:22	PO:0	OV:62

Jonathan Huberdeau	AGE:32	PO:0	OV:79
Jonathan Marchessault	AGE:34	PO:0	OV:79
Teuvo Teravainen	AGE:31	PO:0	OV:79
Frederick Gaudreau	AGE:32	PO:0	OV:76
Radek Faksa	AGE:31	PO:0	OV:75
Connor Brown	AGE:31	PO:0	OV:74
Logan Stankoven	AGE:22	PO:0	OV:73
Brandon Duhaime	AGE:28	PO:0	OV:72
Mikey Eyssimont	AGE:29	PO:0	OV:72
Miles Wood	AGE:30	PO:0	OV:72
Justin Brazeau	AGE:27	PO:0	OV:69
Mitchell Chaffee	AGE:27	PO:0	OV:69
Marat Khusnutdinov	AGE:23	PO:0	OV:68
Rafael Harvey-Pinard	AGE:26	PO:0	OV:63

Défense #1

Défense #2

Gardien

Jake Middleton	AGE:29	PO:0	OV:80
Erik Cernak	AGE:28	PO:0	OV:79
Rasmus Ristolainen	AGE:31	PO:0	OV:77
Artem Zub	AGE:30	PO:0	OV:76
Erik Gudbranson	AGE:33	PO:0	OV:75
Travis Hamonic	AGE:35	PO:0	OV:75
Brayden Pachal	AGE:26	PO:0	OV:72
Emil Lilleberg	AGE:24	PO:0	OV:71
Declan Chisholm	AGE:25	PO:0	OV:70

Emil Andrae	AGE:23	PO:0	OV:67
Ville Heinola	AGE:24	PO:0	OV:66
Alex Petrovic	AGE:33	PO:0	OV:65
Ryan Johnson	AGE:24	PO:0	OV:64
Montana Onyebuchi	AGE:25	PO:0	OV:62
Alex Kannok Leipert	AGE:25	PO:0	OV:60
Christian Felton	AGE:25	PO:0	OV:58
Marc-Andre Gaudet	AGE:22	PO:0	OV:58

Logan Thompson	AGE:28	PO:0	OV:81
Cam Talbot	AGE:38	PO:0	OV:79
Jonathan Quick	AGE:39	PO:0	OV:74
Jet Greaves	AGE:24	PO:0	OV:69
Ivan Fedotov	AGE:29	PO:0	OV:68
Talyn Boyko	AGE:23	PO:0	OV:57

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	Date de la Dernière Transaction	Lien
Brandon Svoboda	Philadelphia Flyers	2025	168	Fantasy Draft	2025-09-29	Lien
Brandon Yager	Philadelphia Flyers	2025	31	Fantasy Draft		Lien
Chris Pelosi	Philadelphia Flyers	2025	226	Fantasy Draft		Lien
Cole O'Hara	Philadelphia Flyers	2025	287	Fantasy Draft		Lien
Heikki Ruohonen	Philadelphia Flyers	2025	159	Fantasy Draft		Lien
Julius Sumpf	Philadelphia Flyers	2025	290	Fantasy Draft		Lien
Luca Marrelli	Philadelphia Flyers	2025	34	Fantasy Draft		Lien
Lucas Beckman	Philadelphia Flyers	2025	223	Fantasy Draft		Lien
Mason Moe	Philadelphia Flyers	2025	65	Fantasy Draft	2025-09-26	Lien
Quinn Beauchesne	Philadelphia Flyers	2025	162	Fantasy Draft		Lien
Sacha Boisvert	Philadelphia Flyers	2025	39	Fantasy Draft	2025-11-10	Lien
Sawyer Mynio	Philadelphia Flyers	2025	98	Fantasy Draft		Lien
Tanner Howe	Philadelphia Flyers	2025	95	Fantasy Draft		Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2026
2027
2028
2029
2030
Choix au repêchage conditionnel

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

Philadelphia Flyers Historique de transactions

[2025-12-09 08:01:51] New Record for Team's Most Points (23) in 1 Game for Philadelphia Flyers!
[2025-12-09 08:01:51] New Record for Team's Most Assists (15) in 1 Game for Philadelphia Flyers!
[2025-12-09 08:01:51] New Record for Team's Most Goals (8) in 1 Game for Philadelphia Flyers!
[2025-11-22 09:49:47] TRADE : From Philadelphia Flyers to Minnesota Wild : Alex Nedeljkovic (77), Y:2026-RND:2-PHI.
[2025-11-22 09:49:47] TRADE : From Minnesota Wild to Philadelphia Flyers : Cam Talbot (79).
[2025-11-10 08:17:30] TRADE : From Philadelphia Flyers to Minnesota Wild : Dawson Mercer (77), Johnathan Kovacevic (75), Y:2022-RND:0-, Y:2022-RND:0-.
[2025-11-10 08:17:30] TRADE : From Minnesota Wild to Philadelphia Flyers : Erik Cernak (79), Teuvo Teravainen (79), Sacha Boisvert (P).
[2025-11-10 08:14:12] TRADE : From Philadelphia Flyers to Minnesota Wild : Dawson Mercer (77), Johnathan Kovacevic (75), Y:2026-RND:1-PHI, Y:2026-RND:4-VAN.
[2025-11-10 08:14:12] TRADE : From Minnesota Wild to Philadelphia Flyers : Erik Cernak (79), Teuvo Teravainen (79), Sacha Boisvert (P).
[2025-11-08 08:36:32] New Record for Team's Most Points (20) in 1 Game for Philadelphia Flyers!
[2025-11-08 08:36:32] New Record for Team's Most Assists (13) in 1 Game for Philadelphia Flyers!
[2025-11-08 08:36:32] New Record for Team's Most Goals (7) in 1 Game for Philadelphia Flyers!
[2025-10-28 08:04:38] New Record for Team's Most Hits (37) in 1 Game for Philadelphia Flyers!
[2025-10-28 08:04:38] New Record for Team's Most Hits (37) in 1 Game for Philadelphia Flyers!
[2025-10-23 08:01:17] New Record for Team's Most Points (14) in 1 Game for Philadelphia Flyers!
[2025-10-23 08:01:17] New Record for Team's Most Assists (9) in 1 Game for Philadelphia Flyers!
[2025-10-23 08:01:17] New Record for Team's Most Goals (5) in 1 Game for Philadelphia Flyers!
[2025-10-20 08:11:31] New Record for Team's Most Penalties Minutes (25) in 1 Game for Philadelphia Flyers!
[2025-10-16 08:09:09] New Record for Team's Most Shots (41) in 1 Game for Philadelphia Flyers!
[2025-10-16 08:09:09] New Record for Team's Most Points (12) in 1 Game for Philadelphia Flyers!
[2025-10-16 08:09:09] New Record for Team's Most Assists (8) in 1 Game for Philadelphia Flyers!
[2025-10-16 08:09:09] New Record for Team's Most Goals (4) in 1 Game for Philadelphia Flyers!
[2025-10-13 09:30:48] New Record for Team's Most Hits (25) in 1 Game for Philadelphia Flyers!
[2025-10-13 09:30:48] New Record for Team's Most Points (9) in 1 Game for Philadelphia Flyers!
[2025-10-13 09:30:48] New Record for Team's Most Assists (6) in 1 Game for Philadelphia Flyers!
[2025-10-13 09:30:48] New Record for Team's Most Goals (3) in 1 Game for Philadelphia Flyers!
[2025-10-10 08:04:49] New Record for Team's Most Hits (21) in 1 Game for Philadelphia Flyers!
[2025-10-10 08:04:49] New Record for Team's Most Shots Blocked (22) in 1 Game for Philadelphia Flyers!
[2025-10-10 08:04:49] New Record for Team's Most Shots Blocked (22) in 1 Game for Philadelphia Flyers!
[2025-10-09 19:02:28] TRADE : From Philadelphia Flyers to New York Rangers : Casey Cizikas (75).
[2025-10-09 19:02:28] TRADE : From New York Rangers to Philadelphia Flyers : Oskar Sundqvist (74), Y:2026-RND:6-NYR.
[2025-10-09 08:02:58] New Record for Team's Most Hits (20) in 1 Game for Philadelphia Flyers!
[2025-10-09 08:02:58] New Record for Team's Most Penalties Minutes (12) in 1 Game for Philadelphia Flyers!
[2025-10-09 08:02:58] New Record for Team's Most Shots Blocked (14) in 1 Game for Philadelphia Flyers!
[2025-10-09 08:02:58] New Record for Team's Most Shots (32) in 1 Game for Philadelphia Flyers!
[2025-10-09 08:02:58] New Record for Team's Most Points (3) in 1 Game for Philadelphia Flyers!
[2025-10-09 08:02:58] New Record for Team's Most Assists (2) in 1 Game for Philadelphia Flyers!
[2025-10-09 08:02:58] New Record for Team's Most Goals (1) in 1 Game for Philadelphia Flyers!
[2025-10-07 08:12:38] TRADE : From Florida Panthers to Philadelphia Flyers : Artem Zub (77), Casey Cizikas (75), Jonathan Huberdeau (79), Jonathan Quick (74), Justin Brazeau (69), Y:2022-RND:0-.
[2025-10-07 08:12:38] TRADE : From Philadelphia Flyers to Florida Panthers : Alex DeBrincat (81), Niko Mikkola (77).
[2025-10-07 08:12:32] TRADE : From New York Rangers to Philadelphia Flyers : Erik Haula (76).
[2025-10-07 08:12:32] TRADE : From Philadelphia Flyers to New York Rangers : Y:2027-RND:3-FLA, Y:2022-RND:0-.
[2025-10-07 08:12:31] TRADE : From Philadelphia Flyers to New York Islanders : Bradly Nadeau (60).
[2025-10-07 08:12:31] TRADE : From New York Islanders to Philadelphia Flyers : Johnathan Kovacevic (75).
[2025-10-07 08:10:14] TRADE : From Florida Panthers to Philadelphia Flyers : Artem Zub (77), Casey Cizikas (75), Jonathan Huberdeau (79), Jonathan Quick (74), Justin Brazeau (69), Y:2027-RND:3-FLA.
[2025-10-07 08:10:14] TRADE : From Philadelphia Flyers to Florida Panthers : Alex DeBrincat (81), Niko Mikkola (77).
[2025-10-07 08:06:57] TRADE : From New York Rangers to Philadelphia Flyers : Erik Haula (76).
[2025-10-07 08:06:57] TRADE : From Philadelphia Flyers to New York Rangers : Y:2026-RND:3-PHI, Y:2022-RND:0-.
[2025-10-07 08:06:54] TRADE : From Philadelphia Flyers to New York Islanders : Bradly Nadeau (60).
[2025-10-07 08:06:54] TRADE : From New York Islanders to Philadelphia Flyers : Johnathan Kovacevic (75).
[2025-09-29 08:12:06] TRADE : From Philadelphia Flyers to Anaheim Ducks : Tyson Foerster (75).
[2025-09-29 08:12:06] TRADE : From Anaheim Ducks to Philadelphia Flyers : Peyton Krebs (73), Brandon Svoboda (P), Y:2026-RND:3-ANA.
[2025-09-27 21:37:48] TRADE : From Philadelphia Flyers to Vancouver Canucks : Fraser Minten (64).
[2025-09-27 21:37:48] TRADE : From Vancouver Canucks to Philadelphia Flyers : Rafael Harvey-Pinard (63), Y:2026-RND:3-VAN, Y:2026-RND:4-VAN.
[2025-09-27 21:36:32] TRADE : From New York Islanders to Philadelphia Flyers : Logan Stankoven (73).
[2025-09-27 21:36:32] TRADE : From Philadelphia Flyers to New York Islanders : Brandt Clarke (71).
[2025-09-26 08:09:00] TRADE : From Philadelphia Flyers to Florida Panthers : Aleksander Barkov (83).
[2025-09-26 08:09:00] TRADE : From Florida Panthers to Philadelphia Flyers : Alex DeBrincat (81), Erik Gudbranson (75), Mason Moe (P), Y:2026-RND:3-FLA, Y:2026-RND:4-FLA, Y:2027-RND:2-FLA.
[2025-09-21 09:24:23] General Manager Change : Philadelphia Flyers hired general manager Johnny Lévesque
[2025-09-21 09:24:23] General Manager Change : Philadelphia Flyers fired general manager Jean-François J-Giguère
[2025-09-19 15:17:47] Parker Gahagen was released.
[2025-09-19 15:17:47] Hunter Miska was released.
[2025-09-19 15:17:47] Tory Dello was released.
[2025-09-19 15:17:47] Matthew Peca was released.
[2025-09-19 15:17:47] Martin Frk was released.
[2025-09-19 15:17:47] Kevin Conley was released.
[2025-09-19 15:17:47] Dylan Gambrell was released.
[2025-09-19 15:17:47] Dennis Cesana was released.
[2025-09-19 15:17:47] Connor Carrick was released.
[2025-09-13 20:33:11] Lehigh Valley Phantoms hired John LeClair for $1 for 5 year(s).
[2025-09-13 20:33:03] Philadelphia Flyers hired Bobby Clarke for $1 for 5 year(s).

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: 30 \| W: 12 \| L: 13 \| OTL: 5 \| P: 29 GF: 94 \| GA: 107 \| PP%: 19.79% \| PK%: 83.74% DG: Johnny Lévesque \| Morale : 50 \| Moyenne d’équipe : 75 Prochains matchs #510 vs Carolina Hurricanes