Lehigh Valley Phantoms
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Historique
Blessure / Suspension
Statistiques de l'Équipe de Carrière

Centre de jeu
	NewYork Rangers 3-0-0, 6pts	3	Sommaire du match	2	Philadelphia Flyers 1-3-0, 2pts

Team Stats
W3	Séquence	L3
2-0-0	Fiche domicile	0-1-0
1-0-0	Fiche visiteur	1-2-0
3-0-0	Derniers 10 matchs	1-3-0
3.33	Buts par match	2.00
1.67	Buts contre par match	3.00
20.00%	Pourcentage en avantage numérique	15.38%
87.50%	Pourcentage en désavantage numérique	83.33%

Philadelphia Flyers
1-3-0, 2pts

Sommaire du match

NewYork Rangers
3-0-0, 6pts

Team Stats
L3	Séquence	W3
0-1-0	Fiche domicile	2-0-0
1-2-0	Fiche visiteur	1-0-0
1-3-0	Derniers 10 matchs	3-0-0
2.00	Buts par match	3.33
3.00	Buts contre par match	1.67
15.38%	Pourcentage en avantage numérique	20.00%
83.33%	Pourcentage en désavantage numérique	87.50%

NewYork Rangers
3-0-0, 6pts

Jour 9

Philadelphia Flyers
1-3-0, 2pts

Statistiques d’équipe
W3	Séquence	L3
2-0-0	Fiche domicile	0-1-0
1-0-0	Fiche visiteur	1-2-0
3-0-0	10 derniers matchs	1-3-0
3.33	Buts par match	2.00
1.67	Buts contre par match	2.00
20.00%	Pourcentage en avantage numérique	15.38%
87.50%	Pourcentage en désavantage numérique	83.33%

Philadelphia Flyers
1-3-0, 2pts

Jour 12

NewYork Islanders
1-2-0, 2pts

Statistiques d’équipe
L3	Séquence	SOW1
0-1-0	Fiche domicile	0-2-0
1-2-0	Fiche visiteur	1-0-0
1-3-0	10 derniers matchs	1-2-0
2.00	Buts par match	3.33
3.00	Buts contre par match	3.33
15.38%	Pourcentage en avantage numérique	0.00%
83.33%	Pourcentage en désavantage numérique	87.50%

NewYork Islanders
1-2-0, 2pts

Jour 14

Philadelphia Flyers
1-3-0, 2pts

Statistiques d’équipe
SOW1	Séquence	L3
0-2-0	Fiche domicile	0-1-0
1-0-0	Fiche visiteur	1-2-0
1-2-0	10 derniers matchs	1-3-0
3.33	Buts par match	2.00
5.00	Buts contre par match	2.00
0.00%	Pourcentage en avantage numérique	15.38%
87.50%	Pourcentage en désavantage numérique	83.33%

Meneurs d'équipe
Buts Nathan MacKinnon 2			Passes J.J. Peterka 2

Points Nathan MacKinnon 3			Plus/Moins Kevin Bahl 2

Victoires Andrei Vasilevskiy 1			Pourcentage d’arrêts Andrei Vasilevskiy 0.911

Statistiques d’équipe
Buts pour 8 2.00 GFG	Tirs pour 132 33.00 Avg	Pourcentage en avantage numérique 15.4% 2 GF	Début de zone offensive 41.4%
Buts contre 12 3.00 GAA	Tirs contre 123 30.75 Avg	Pourcentage en désavantage numérique 83.3%% 2 GA	Début de la zone défensive 35.9%

Informations de l'équipe
	Directeur général	Dominic Gariepy
	Entraîneur	Martin St. Louis
	Division	Metropolitan
	Conférence	Eastern
	Capitaine	Nathan MacKinnon
	Assistant #1	Quinn Hughes
	Assistant #2	Tomas Hertl
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	19,537
	Assistance	17,969
	Billets de saison	7,815
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	34
	Limite Contrat	56 / 72
	Espoirs	39
Plafond salarial
	Cap Salarial de la Saison estimé	113,670,242$
	Plafond salarial disponible	829,758$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	2,371,037$
	Dépenses annuelles à ce jour	4,301,224$
	Revenus de la saison estimés	99,583,554$
	Dépenses de la saison estimées	112,369,477$
	Compte bancaire actuel	87,468,083$
	Compte bancaire projeté	75,633,985$

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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	TA	SP	Âge	Contrat	Salaire
1	Nathan MacKinnon (C)	0	X				100.00	69	54	74	88	79	93	92	97	76	97	94	73	93	88	84	1	40	83		0	31	3	12,604,000$
2	Tomas Hertl (A)	0	X	X			100.00	76	50	80	76	85	88	91	87	88	80	83	73	82	88	78	1	40	77		0	32	1	8,137,500$
3	Ivan Barbashev	0	X	X	X		100.00	78	42	91	78	80	87	88	86	50	81	81	71	82	84	74	1	40	76		0	30	3	5,000,000$
4	Dylan Cozens	0	X				100.00	80	60	69	80	85	89	84	87	78	80	82	71	83	73	63	1	40	75		0	25	7	7,100,000$
5	Noah Cates	0	X	X			100.00	75	54	81	85	80	88	83	83	70	78	77	81	82	68	58	1	40	75		0	27	2	4,000,000$
6	Matthew Knies	0		X	X		100.00	79	55	78	77	92	89	80	87	42	82	82	73	82	63	53	1	40	75		0	24	8	7,750,000$
7	J.J. Peterka	0		X	X		100.00	65	40	80	85	79	87	83	87	50	79	83	68	85	68	58	1	40	74		0	24	4	7,700,000$
8	Morgan Barron	0	X	X			100.00	81	50	82	75	88	83	83	75	73	70	71	78	74	73	63	1	40	72		0	27	2	1,850,000$
9	Yakov Trenin	0	X	X	X		100.00	92	64	73	75	81	83	85	75	60	73	68	75	72	76	66	1	40	71	X	0	29	1	3,500,000$
10	Frank Nazar	0	X		X		100.00	66	40	80	83	79	88	74	80	69	75	74	71	78	59	50	1	40	71		0	22	3	6,599,991$
11	Adam Gaudette	0	X	X	X		100.00	72	41	87	78	75	80	84	78	71	67	78	70	78	79	70	1	40	71		0	30	1	2,000,000$
12	Jimmy Snuggerud	0		X	X		100.00	67	40	85	81	80	86	71	80	46	73	73	69	78	55	50	1	40	70		0	22	1	950,000$
13	Quinn Hughes (A)	0				X	100.00	63	45	78	88	74	91	86	93	40	93	78	76	86	79	81	1	40	78		0	27	5	7,850,000$
14	Miro Heiskanen	0				X	100.00	65	40	82	86	82	91	85	86	40	84	74	87	82	79	75	1	40	78		0	27	9	8,450,000$
15	Kevin Bahl	0				X	100.00	76	56	72	75	92	93	84	75	40	74	67	88	73	73	63	1	40	76		0	26	1	5,350,000$
16	J.J. Moser	0				X	100.00	69	60	72	89	77	90	81	78	40	76	70	89	79	68	58	1	40	76		0	26	4	6,750,000$
17	Wyatt Kaiser	0				X	100.00	70	41	80	86	78	88	79	75	40	69	70	77	77	63	53	1	40	72		0	24	2	1,700,000$
18	Louis Crevier	0				X	100.00	72	50	73	73	93	87	74	77	40	70	70	79	74	59	50	1	40	71		0	25	3	900,000$
Rayé
1	Declan Carlile	0				X	100.00	67	56	67	72	74	77	70	67	40	60	61	71	66	57	50	1	40	65		0	26	3	1,500,000$
Équipe Mineure
1	Justin Kirkland	0	X	X	X		99.00	69	42	76	73	75	79	67	66	70	63	62	67	67	63	53	1	40	63		0	30	3	850,000$
2	Nate Danielson	0	X		X		99.00	61	41	77	71	76	74	62	66	61	64	61	63	66	53	50	1	40	61		0	22	1	909,166$
3	Jonathan Lekkerimäki (R)	0		X	X		99.00	60	40	74	69	69	75	62	64	40	61	62	61	65	51	50	1	40	59		0	22	1	918,333$
4	John Hayden	0	X		X		99.00	65	59	55	61	75	73	72	64	46	58	59	59	61	70	62	1	40	59		0	31	1	850,000$
5	Michael Brandsegg-Nygard	0		X	X		99.00	66	43	65	68	66	60	60	64	42	62	61	66	65	50	50	1	40	59		0	21	1	953,750$
6	Henrik Rybinski	0	X	X	X		100.00	62	42	72	66	64	66	64	62	59	62	55	62	61	53	50	1	40	58		0	25	1	875,000$
7	Koehn Ziemmer	0	X		X		100.00	66	42	69	64	67	62	61	62	42	60	60	62	61	50	50	1	40	57		0	21	1	904,166$
8	Gracyn Sawchyn	0	X				100.00	60	41	70	70	60	60	60	60	57	61	60	61	62	50	50	1	40	57		0	21	2	846,666$
9	Ty Mueller	0	X		X		100.00	58	42	69	66	63	64	62	63	60	62	57	56	62	51	50	1	40	57		0	23	3	945,000$
10	Anton Blidh	0		X	X		100.00	54	51	60	62	62	72	71	62	43	56	56	54	60	65	57	1	40	56		0	31	3	850,000$
11	Adam Sykora	0		X	X		100.00	58	41	72	67	60	62	60	63	42	61	55	55	62	50	50	1	40	56		0	22	2	881,666$
12	Mackenzie MacEachern	0		X	X		100.00	56	42	69	61	62	68	67	58	42	55	54	56	58	65	57	1	40	55		0	32	1	850,000$
13	Scott Perunovich	0				X	99.00	56	44	71	74	63	75	70	68	40	67	62	69	68	59	52	1	40	62		0	28	2	850,000$
14	Ryan Ufko	0				X	99.00	56	40	74	73	70	77	62	66	40	66	63	65	67	55	50	1	40	61		0	23	3	942,500$
15	William Trudeau	0				X	100.00	64	45	64	69	66	65	63	64	40	58	58	67	64	51	50	1	40	60		0	24	3	850,000$
16	Caden Price	0				X	99.00	62	41	70	66	64	60	60	60	40	60	60	65	60	50	50	1	40	58		0	21	2	935,556$
17	Tanner Molendyk	0				X	100.00	60	41	72	66	64	62	61	62	40	61	60	62	61	50	50	1	40	58		0	21	2	909,166$
18	Ronan Seeley	0				X	100.00	59	40	74	68	65	65	63	64	40	56	60	60	64	51	50	1	40	58		0	24	1	850,000$
19	Jean-Luc Foudy	0			X		100.00	56	43	70	65	59	65	63	61	42	60	52	53	60	52	50	1	40	55		0	24	0	0$
20	Nicholas Lardis (R)	0		X	X		100.00	60	40	70	65	65	60	60	40	60	60	55	60	60	50	50	1	40	54		0	21	3	925,000$
21	Danil Zhilkin (R)	0	X				100.00	59	41	71	60	65	61	59	58	53	53	53	51	57	50	50	1	40	53		0	22	3	878,333$
22	Julian Lutz	0	X	X	X		100.00	60	44	66	60	65	63	61	58	41	55	53	53	57	50	50	1	40	53		0	22	1	923,333$
23	Miko Matikka	0		X	X		100.00	61	41	71	57	69	61	59	57	41	52	51	52	55	50	50	1	40	52		0	22	1	945,000$
24	Benjamin Strinden (R)	0	X		X		100.00	60	40	70	60	50	50	60	50	60	50	50	60	50	50	50	1	40	51		0	24	3	800,000$
25	Louie Belpedio	0				X	66.59	57	50	60	68	63	71	69	65	40	62	58	67	63	63	56	1	40	61		0	30	3	850,000$
26	Jack Rathbone	0				X	100.00	55	43	68	68	61	68	66	64	40	59	55	60	62	55	50	1	40	58		0	27	3	850,000$
27	Alex Kannok Leipert	0				X	100.00	62	49	62	66	64	66	64	61	40	56	53	65	60	53	50	1	40	58		0	26	2	800,000$
28	Libor Hajek	0				X	100.00	61	43	69	64	68	65	61	56	40	51	52	62	57	55	51	1	40	57		0	28	3	850,000$
29	Sean Behrens	0				X	100.00	56	41	68	68	55	61	59	59	40	57	52	64	59	51	50	1	40	56		0	23	2	923,333$
30	Simon Lundmark	0				X	100.00	58	42	71	64	65	66	64	61	40	55	53	59	59	53	50	1	40	56		0	26	1	850,000$
31	Reilly Walsh	8				X	100.00	52	41	62	62	57	63	62	59	40	58	53	59	57	54	50	1	40	55		0	27	2	850,000$

	MOYENNE D’ÉQUIPE						99.16	65	45	72	71	71	74	70	69	49	66	64	66	68	61	56	1	40	64

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	Andrei Vasilevskiy	0	98.00	89	94	96	92	94	94	93	94	93	93	87	87	80	1	40	89	0	32	4	9,500,000$
2	Joseph Woll	0	100.00	86	86	87	85	90	86	84	85	85	87	82	68	61	1	40	81	0	28	2	3,666,667$
Rayé
1	Devon Levi	0	100.00	75	67	73	65	72	73	75	73	75	73	64	52	50	1	40	68	0	24	2	812,500$
Équipe Mineure
1	Jakub Malek	0	99.00	66	58	64	61	64	65	67	64	66	65	56	52	50	1	40	61	0	24	2	875,000$
2	Luke Cavallin	0	100.00	65	56	55	65	62	61	62	60	63	61	52	53	50	1	40	58	0	25	3	850,000$
3	Damian Clara	0	100.00	58	55	55	69	60	56	55	50	58	57	50	50	50	1	40	55	0	21	1	934,166$

	MOYENNE D’ÉQUIPE		99.50	73	69	72	73	74	73	73	71	73	73	65	60	57	1	40	69

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Martin St. Louis	86	84	87	81	78	73	1	CAN	51	3	3,000,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Nathan MacKinnon	Philadelphia Flyers	C	4	2	1	3	-4	2	5	3	17	3	13	11.76%	5	73	18.34	1	0	1	3	10	0	0	0	51.22%	82	6	1	0.82	1	0	0
2	J.J. Peterka	Philadelphia Flyers	LW/RW	4	1	2	3	0	2	3	2	12	5	9	8.33%	2	70	17.75	0	1	1	0	9	0	0	0	0%	2	4	1	0.85	0	0	1
3	Matthew Knies	Philadelphia Flyers	LW/RW	4	1	2	3	0	4	7	2	8	4	4	12.50%	2	70	17.71	0	1	1	1	9	0	0	0	33.33%	3	3	0	0.85	0	1	0
4	Dylan Cozens	Philadelphia Flyers	C	4	1	1	2	0	4	11	4	9	3	6	11.11%	0	71	18.00	1	0	1	2	9	0	1	0	52.17%	92	1	2	0.56	0	0	1
5	Miro Heiskanen	Philadelphia Flyers	D	4	0	2	2	2	0	3	8	8	2	3	0%	4	95	23.92	0	1	1	0	9	1	8	0	0%	0	5	1	0.42	0	0	0
6	Yakov Trenin	Philadelphia Flyers	C/LW/RW	4	0	1	1	1	4	3	6	6	1	3	0%	2	54	13.61	0	0	0	0	0	0	6	0	50.00%	2	0	1	0.37	0	0	0
7	Kevin Bahl	Philadelphia Flyers	D	4	0	1	1	2	0	6	5	3	2	0	0%	11	85	21.42	0	0	0	0	10	0	9	0	0%	0	1	1	0.23	0	0	0
8	Ivan Barbashev	Philadelphia Flyers	C/LW/RW	4	1	0	1	-4	2	4	3	12	1	6	8.33%	1	74	18.53	0	0	0	0	10	0	0	1	28.57%	7	3	2	0.27	0	0	0
9	Jimmy Snuggerud	Philadelphia Flyers	LW/RW	4	1	0	1	0	0	2	0	3	0	0	33.33%	0	28	7.06	0	0	0	0	0	0	0	0	0%	1	1	1	0.71	0	0	0
10	Wyatt Kaiser	Philadelphia Flyers	D	4	0	1	1	-1	0	1	7	3	2	3	0%	4	55	13.88	0	0	0	0	0	0	1	0	0%	0	1	2	0.36	0	0	0
11	J.J. Moser	Philadelphia Flyers	D	4	0	1	1	-5	4	6	6	2	0	0	0%	5	88	22.22	0	0	0	0	10	0	8	0	0%	0	1	6	0.23	0	0	0
12	Noah Cates	Philadelphia Flyers	C/LW	4	1	0	1	0	0	6	3	13	3	9	7.69%	2	56	14.17	0	0	0	0	0	1	7	0	50.00%	4	5	1	0.35	0	0	0
13	Louis Crevier	Philadelphia Flyers	D	4	0	0	0	-1	0	1	4	5	0	0	0%	4	62	15.72	0	0	0	0	0	1	9	0	0%	0	0	1	0	0	0	0
14	Morgan Barron	Philadelphia Flyers	C/LW	4	0	0	0	1	0	2	5	5	0	3	0%	2	55	13.98	0	0	0	0	0	1	8	0	47.50%	40	2	1	0	0	0	0
15	Frank Nazar	Philadelphia Flyers	C/RW	4	0	0	0	0	0	0	1	4	1	1	0%	0	28	7.00	0	0	0	0	0	0	0	0	40.00%	5	0	1	0	0	0	0
16	Adam Gaudette	Philadelphia Flyers	C/LW/RW	4	0	0	0	-1	0	7	4	5	2	1	0%	0	38	9.61	0	0	0	0	0	1	9	0	66.67%	3	0	3	0	0	0	0
17	Quinn Hughes	Philadelphia Flyers	D	4	0	0	0	-5	0	4	2	13	3	0	0%	4	91	22.86	0	0	0	4	9	0	0	0	0%	0	2	1	0	0	0	0
18	Tomas Hertl	Philadelphia Flyers	C/LW	4	0	0	0	-4	2	4	4	4	1	7	0%	2	76	19.04	0	0	0	1	10	0	3	0	30.00%	10	3	2	0	0	0	0
Statistiques d’équipe totales ou en moyenne				72	8	12	20	-19	24	75	69	132	33	68	6.06%	50	1179	16.38	2	3	5	11	100	5	76	1	48.61%	251	38	28	0.34	1	1	2

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	PCT	GAA	MP	GA	SA	SAR	A	PS %	ST	BG
1	Andrei Vasilevskiy	Philadelphia Flyers	3	1	2	0.911	2.70	178	8	90	42	1	0	3	1
2	Joseph Woll	Philadelphia Flyers	1	0	1	0.879	4.00	60	4	33	10	0	0	1	3
Statistiques d’équipe totales ou en moyenne			4	1	3	0.902	3.03	238	12	123	52	1		4	4

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
Adam Gaudette	Philadelphia Flyers	C/LW/RW	30	1996-10-03	USA	No	190 Lbs	6 ft1	No	No	Trade	2026-08-09	No	Yes	1	2025-07-01	False	False	Pro Only	2,000,000$	1,926,267$	2,000,000$	1,926,267$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Andrei Vasilevskiy	Philadelphia Flyers	G	32	1994-07-25	RUS	No	223 Lbs	6 ft4	No	No	N/A		No	Yes	4		False	False	Pro & Farm	9,500,000$	9,149,770$	9,500,000$	9,149,770$	No	9,500,000$	9,500,000$	9,500,000$	-	-	-	-	-	-	9,500,000$	9,500,000$	9,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Declan Carlile	Philadelphia Flyers	D	26	2000-05-18	USA	No	190 Lbs	6 ft3	No	No	N/A		No	Yes	3	2026-07-01	False	False	Pro & Farm	1,500,000$	1,444,700$	1,500,000$	1,444,700$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Devon Levi	Philadelphia Flyers	G	24	2001-12-27	CAN	No	192 Lbs	6 ft0	No	No	N/A		No	Yes	2	2025-08-02	False	False	Pro & Farm	812,500$	782,546$	812,500$	782,546$	No	812,500$	-	-	-	-	-	-	-	-	812,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Dylan Cozens	Philadelphia Flyers	C	25	2001-02-09	CAN	No	205 Lbs	6 ft3	No	No	Trade	2026-08-02	No	Yes	7		False	False	Pro & Farm	7,100,000$	6,838,249$	7,100,000$	6,838,249$	No	7,100,000$	7,100,000$	7,100,000$	7,100,000$	7,100,000$	7,100,000$	-	-	-	7,100,000$	7,100,000$	7,100,000$	7,100,000$	7,100,000$	7,100,000$	-	-	-	No	No	No	No	No	No	-	-	-
Frank Nazar	Philadelphia Flyers	C/RW	22	2004-01-14	USA	No	190 Lbs	5 ft10	No	No	N/A		No	Yes	3	2026-06-09	False	False	Pro & Farm	6,599,991$	6,356,673$	6,599,990$	6,356,672$	No	6,599,991$	6,599,991$	-	-	-	-	-	-	-	6,599,990$	6,599,990$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Ivan Barbashev	Philadelphia Flyers	C/LW/RW	30	1995-12-14	RUS	No	203 Lbs	6 ft0	No	No	N/A		No	Yes	3	2026-04-01	False	False	Pro & Farm	5,000,000$	4,815,668$	5,000,000$	4,815,668$	No	5,000,000$	5,000,000$	-	-	-	-	-	-	-	5,000,000$	5,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
J.J. Moser	Philadelphia Flyers	D	26	2000-06-06	SUI	No	183 Lbs	6 ft2	No	No	Trade	2026-02-18	No	Yes	4	2026-06-09	False	False	Pro & Farm	6,750,000$	6,501,152$	6,750,000$	6,501,152$	No	6,750,000$	6,750,000$	6,750,000$	-	-	-	-	-	-	6,750,000$	6,750,000$	6,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
J.J. Peterka	Philadelphia Flyers	LW/RW	24	2002-01-14	GER	No	189 Lbs	6 ft0	No	No	Trade	2026-02-18	No	Yes	4	2025-06-27	False	False	Pro & Farm	7,700,000$	7,416,129$	7,700,000$	7,416,129$	No	7,700,000$	7,700,000$	7,700,000$	-	-	-	-	-	-	7,700,000$	7,700,000$	7,700,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Jimmy Snuggerud	Philadelphia Flyers	LW/RW	22	2004-06-01	USA	No	193 Lbs	6 ft1	No	No	Prospect		No	Yes	1	2025-04-03	False	False	Pro & Farm	950,000$	914,977$	950,000$	914,977$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Joseph Woll	Philadelphia Flyers	G	28	1998-07-12	USA	No	212 Lbs	6 ft3	No	No	N/A		No	Yes	2	2026-08-20	False	False	Pro & Farm	3,666,667$	3,531,490$	3,666,667$	3,531,490$	No	3,666,667$	-	-	-	-	-	-	-	-	3,666,667$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kevin Bahl	Philadelphia Flyers	D	26	2000-06-27	CAN	No	230 Lbs	6 ft6	No	No	N/A		No	Yes	1	2025-06-28	False	False	Pro Only	5,350,000$	5,152,765$	5,350,000$	5,152,765$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Louis Crevier	Philadelphia Flyers	D	25	2001-05-04	CAN	No	228 Lbs	6 ft8	No	No	Trade	2026-08-01	No	Yes	3	2026-05-18	False	False	Pro & Farm	900,000$	866,820$	900,000$	866,820$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Matthew Knies	Philadelphia Flyers	LW/RW	24	2002-10-17	USA	No	232 Lbs	6 ft3	No	No	N/A		No	Yes	8	2025-06-29	False	False	Pro & Farm	7,750,000$	7,464,286$	7,750,000$	7,464,286$	No	7,750,000$	7,750,000$	7,750,000$	7,750,000$	7,750,000$	7,750,000$	7,750,000$	-	-	7,750,000$	7,750,000$	7,750,000$	7,750,000$	7,750,000$	7,750,000$	7,750,000$	-	-	No	No	No	No	No	No	No	-	-
Miro Heiskanen	Philadelphia Flyers	D	27	1999-07-18	FIN	No	197 Lbs	6 ft2	No	No	Trade	2024-09-12	No	Yes	9	2026-04-01	False	False	Pro & Farm	8,450,000$	8,138,479$	8,450,000$	8,138,479$	No	8,450,000$	8,450,000$	8,450,000$	8,450,000$	8,450,000$	8,450,000$	8,450,000$	8,450,000$	-	8,450,000$	8,450,000$	8,450,000$	8,450,000$	8,450,000$	8,450,000$	8,450,000$	8,450,000$	-	No	No	No	No	No	No	No	No	-
Morgan Barron (contrat à 1 volet)	Philadelphia Flyers	C/LW	27	1998-12-02	CAN	No	220 Lbs	6 ft4	No	No	Trade	2024-10-14	No	Yes	2	2025-07-18	False	False	Pro Only	1,850,000$	1,781,797$	1,850,000$	1,781,797$	No	1,850,000$	-	-	-	-	-	-	-	-	1,850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Nathan MacKinnon	Philadelphia Flyers	C	31	1995-09-01	CAN	No	200 Lbs	6 ft0	No	No	N/A		No	Yes	3	2026-08-20	False	False	Pro & Farm	12,604,000$	12,139,336$	12,604,000$	12,139,336$	No	12,604,000$	12,604,000$	-	-	-	-	-	-	-	12,604,000$	12,604,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Noah Cates	Philadelphia Flyers	C/LW	27	1999-02-05	USA	No	194 Lbs	6 ft2	No	No	N/A		No	Yes	2	2025-06-20	False	False	Pro & Farm	4,000,000$	3,852,535$	4,000,000$	3,852,535$	No	4,000,000$	-	-	-	-	-	-	-	-	4,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Quinn Hughes	Philadelphia Flyers	D	27	1999-10-14	USA	No	180 Lbs	5 ft10	No	No	N/A		No	Yes	5		False	False	Pro & Farm	7,850,000$	7,560,599$	7,850,000$	7,560,599$	No	7,850,000$	7,850,000$	7,850,000$	7,850,000$	-	-	-	-	-	7,850,000$	7,850,000$	7,850,000$	7,850,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Tomas Hertl	Philadelphia Flyers	C/LW	32	1993-11-12	CZE	No	220 Lbs	6 ft3	No	No	N/A		No	Yes	1	2026-08-20	False	False	Pro & Farm	8,137,500$	7,837,500$	8,137,000$	7,837,018$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Wyatt Kaiser	Philadelphia Flyers	D	24	2002-07-31	USA	No	190 Lbs	6 ft0	No	No	N/A		No	Yes	2	2026-04-01	False	False	Pro & Farm	1,700,000$	1,637,327$	1,700,000$	1,637,327$	No	1,700,000$	-	-	-	-	-	-	-	-	1,700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Yakov Trenin	Philadelphia Flyers	C/LW/RW	29	1997-01-13	RUS	No	201 Lbs	6 ft2	No	Yes	Trade	2026-08-09	No	Yes	1	2026-05-18	False	False	Pro & Farm	3,500,000$	3,370,968$	3,500,000$	3,370,968$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	26.73	203 Lbs	6 ft2	3.23	5,166,848$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
113,670,658$	93,733,158$	81,703,991$	55,100,000$	31,150,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Tomas Hertl	Nathan MacKinnon	Ivan Barbashev	35	1	1	3
2	Matthew Knies	Dylan Cozens	J.J. Peterka	35	1	1	3
3	Noah Cates	Morgan Barron	Yakov Trenin	20	1	3	1
4	Adam Gaudette	Frank Nazar	Jimmy Snuggerud	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	J.J. Moser	35	1	2	2
2	Miro Heiskanen	Kevin Bahl	35	1	2	2
3	Wyatt Kaiser	Louis Crevier	20	1	2	2
4	Miro Heiskanen	Quinn Hughes	10	1	1	3

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Tomas Hertl	Nathan MacKinnon	Ivan Barbashev	50	1	1	3
2	Matthew Knies	Dylan Cozens	J.J. Peterka	50	1	1	3

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Miro Heiskanen	Quinn Hughes	50	1	1	3
2	Kevin Bahl	J.J. Moser	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Morgan Barron	Noah Cates	50	1	3	1
2	Yakov Trenin	Adam Gaudette	50	1	3	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Kevin Bahl	J.J. Moser	50	1	3	1
2	Miro Heiskanen	Louis Crevier	50	1	3	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Morgan Barron	50	1	3	1	Kevin Bahl	J.J. Moser	50	1	3	1
2	Noah Cates	50	1	3	1	Miro Heiskanen	Louis Crevier	50	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Noah Cates	Adam Gaudette	50	1	2	2
2	Frank Nazar	Jimmy Snuggerud	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Wyatt Kaiser	Louis Crevier	50	1	2	2
2	Miro Heiskanen	Quinn Hughes	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Tomas Hertl	Nathan MacKinnon	Ivan Barbashev	Quinn Hughes	Miro Heiskanen

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Tomas Hertl	Nathan MacKinnon	Ivan Barbashev	Quinn Hughes	Miro Heiskanen

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Frank Nazar, Yakov Trenin, Noah Cates	Frank Nazar, Noah Cates	Tomas Hertl

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Quinn Hughes, Wyatt Kaiser, Kevin Bahl	Quinn Hughes	Wyatt Kaiser, Kevin Bahl

Tirs de pénalité
Nathan MacKinnon, Quinn Hughes, J.J. Peterka, Tomas Hertl, Ivan Barbashev

Gardien
#1 : Andrei Vasilevskiy, #2 : Joseph Woll

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	RI
1	NewYork Rangers	3	0	3	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	2	3	-1	2	0	2	0	0	0	0	0	3	7	-4	0	0.000	5	7	12	0	0	2	1	2	0	102	32	41	29	0	93	34	20	60	8	1	12.50%	10	2	80.00%	0	46	104	44.23%	47	90	52.22%	29	57	50.88%	63	37	63	27	52	25
2	Toronto Maple Leafs	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	2	0	1	0	30	13	13	4	0	30	16	4	15	5	1	20.00%	2	0	100.00%	0	46	104	44.23%	47	90	52.22%	29	57	50.88%	21	12	21	9	17	9
	Total	4	1	3	0	0	0	0	0	8	12	-4	1	0	1	0	0	0	0	0	2	3	-1	3	1	2	0	0	0	0	0	6	9	-3	2	0.250	8	12	20	0	0	4	1	3	0	132	45	54	33	0	123	50	24	75	13	2	15.38%	12	2	83.33%	0	46	104	44.23%	47	90	52.22%	29	57	50.88%	85	50	85	36	69	34
	_Since Last GM Reset	4	1	3	0	0	0	0	0	8	12	-4	1	0	1	0	0	0	0	0	2	3	-1	3	1	2	0	0	0	0	0	6	9	-3	2	0.250	8	12	20	0	0	4	1	3	0	132	45	54	33	0	123	50	24	75	13	2	15.38%	12	2	83.33%	0	46	104	44.23%	47	90	52.22%	29	57	50.88%	85	50	85	36	69	34
	_Vs Conference	4	1	3	0	0	0	0	0	8	12	-4	1	0	1	0	0	0	0	0	2	3	-1	3	1	2	0	0	0	0	0	6	9	-3	2	0.250	8	12	20	0	0	4	1	3	0	132	45	54	33	0	123	50	24	75	13	2	15.38%	12	2	83.33%	0	46	104	44.23%	47	90	52.22%	29	57	50.88%	85	50	85	36	69	34
	_Vs Division	3	0	3	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	2	3	-1	2	0	2	0	0	0	0	0	3	7	-4	0	0.000	5	7	12	0	0	2	1	2	0	102	32	41	29	0	93	34	20	60	8	1	12.50%	10	2	80.00%	0	46	104	44.23%	47	90	52.22%	29	57	50.88%	63	37	63	27	52	25

			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
4	2	L3	8	12	20	132	123	50	24	75	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	8	12

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	2	3

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	6	9

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

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
13	2	15.38%	12	2	83.33%	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
45	54	33	0	4	1	3	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
46	104	44.23%	47	90	52.22%	29	57	50.88%

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
85	50	85	36	69	34

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	Lien
2	8	Philadelphia Flyers	3	Toronto Maple Leafs	2	W	Sommaire du match
3	15	Philadelphia Flyers	1	NewYork Rangers	4	L	Sommaire du match
5	26	NewYork Rangers	3	Philadelphia Flyers	2	L	Sommaire du match
7	38	Philadelphia Flyers	2	NewYork Rangers	3	L	Sommaire du match
9	52	NewYork Rangers	-	Philadelphia Flyers	-
12	64	Philadelphia Flyers	-	NewYork Islanders	-
14	72	NewYork Islanders	-	Philadelphia Flyers	-
16	84	Philadelphia Flyers	-	Carolina Hurricanes	-
20	102	Philadelphia Flyers	-	Washington Capitals	-
21	104	NewYork Islanders	-	Philadelphia Flyers	-
25	130	Washington Capitals	-	Philadelphia Flyers	-
28	145	Philadelphia Flyers	-	Pittsburgh Penguins	-
30	154	Carolina Hurricanes	-	Philadelphia Flyers	-
33	173	Philadelphia Flyers	-	Buffalo Sabres	-
35	179	Pittsburgh Penguins	-	Philadelphia Flyers	-
37	191	Philadelphia Flyers	-	NewYork Rangers	-
39	204	NewYork Rangers	-	Philadelphia Flyers	-
42	221	Montreal Canadiens	-	Philadelphia Flyers	-
45	235	Philadelphia Flyers	-	Winnipeg Jets	-
47	245	Philadelphia Flyers	-	Colorado Avalanche	-
49	257	Seattle Kraken	-	Philadelphia Flyers	-
51	273	Philadelphia Flyers	-	Dallas Stars	-
54	283	NewYork Rangers	-	Philadelphia Flyers	-
56	291	Philadelphia Flyers	-	Carolina Hurricanes	-
59	305	Boston Bruins	-	Philadelphia Flyers	-
61	314	Philadelphia Flyers	-	St-Louis Blues	-
64	332	Detroit Red Wings	-	Philadelphia Flyers	-
67	347	Philadelphia Flyers	-	Anaheim Ducks	-
69	360	Dallas Stars	-	Philadelphia Flyers	-
74	382	Colorado Avalanche	-	Philadelphia Flyers	-
77	397	Philadelphia Flyers	-	SanJose Sharks	-
79	407	Los Angeles Kings	-	Philadelphia Flyers	-
83	422	Philadelphia Flyers	-	Chicago Blackhawks	-
85	434	Winnipeg Jets	-	Philadelphia Flyers	-
89	456	Buffalo Sabres	-	Philadelphia Flyers	-
91	468	Philadelphia Flyers	-	Montreal Canadiens	-
93	480	Washington Capitals	-	Philadelphia Flyers	-
96	488	Philadelphia Flyers	-	Los Angeles Kings	-
98	504	Toronto Maple Leafs	-	Philadelphia Flyers	-
100	512	Philadelphia Flyers	-	Buffalo Sabres	-
102	529	Philadelphia Flyers	-	NewYork Islanders	-
103	536	Minnesota Wild	-	Philadelphia Flyers	-
106	553	Philadelphia Flyers	-	Carolina Hurricanes	-
108	561	Detroit Red Wings	-	Philadelphia Flyers	-
111	580	Philadelphia Flyers	-	Seattle Kraken	-
113	587	Nashville Predators	-	Philadelphia Flyers	-
118	612	SanJose Sharks	-	Philadelphia Flyers	-
123	633	Ottawa Senateurs	-	Philadelphia Flyers	-
127	656	Tampa Bay Lightning	-	Philadelphia Flyers	-
128	665	Philadelphia Flyers	-	Nashville Predators	-
132	684	Washington Capitals	-	Philadelphia Flyers	-
133	691	Philadelphia Flyers	-	NewYork Islanders	-
136	706	Philadelphia Flyers	-	Detroit Red Wings	-
137	712	Carolina Hurricanes	-	Philadelphia Flyers	-
142	734	Vegas Golden Knights	-	Philadelphia Flyers	-
145	749	Philadelphia Flyers	-	Vancouver Canucks	-
147	761	Boston Bruins	-	Philadelphia Flyers	-
152	783	NewYork Islanders	-	Philadelphia Flyers	-
157	808	NewYork Rangers	-	Philadelphia Flyers	-
159	816	Philadelphia Flyers	-	Ottawa Senateurs	-
162	833	Philadelphia Flyers	-	Pittsburgh Penguins	-
163	837	NewYork Islanders	-	Philadelphia Flyers	-
167	860	Ottawa Senateurs	-	Philadelphia Flyers	-
172	883	Philadelphia Flyers	-	Washington Capitals	-
173	889	St-Louis Blues	-	Philadelphia Flyers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
175	903	Philadelphia Flyers	-	Tampa Bay Lightning	-
177	913	Carolina Hurricanes	-	Philadelphia Flyers	-
179	925	Philadelphia Flyers	-	Vegas Golden Knights	-
182	939	Philadelphia Flyers	-	NewYork Rangers	-
183	943	Vancouver Canucks	-	Philadelphia Flyers	-
186	965	Anaheim Ducks	-	Philadelphia Flyers	-
189	982	Philadelphia Flyers	-	Tampa Bay Lightning	-
190	990	Philadelphia Flyers	-	Pittsburgh Penguins	-
191	992	Anaheim Ducks	-	Philadelphia Flyers	-
193	1004	Philadelphia Flyers	-	Boston Bruins	-
196	1018	Chicago Blackhawks	-	Philadelphia Flyers	-
198	1032	Philadelphia Flyers	-	Washington Capitals	-
200	1042	Philadelphia Flyers	-	NewYork Rangers	-
202	1047	Montreal Canadiens	-	Philadelphia Flyers	-
205	1064	Philadelphia Flyers	-	Boston Bruins	-
206	1066	Philadelphia Flyers	-	Toronto Maple Leafs	-
208	1072	Pittsburgh Penguins	-	Philadelphia Flyers	-
209	1079	Philadelphia Flyers	-	Minnesota Wild	-
210	1088	Philadelphia Flyers	-	Toronto Maple Leafs	-
214	1105	Pittsburgh Penguins	-	Philadelphia Flyers	-
215	1113	Philadelphia Flyers	-	Minnesota Wild	-

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	125	65	50	30	250
Assistance	6,602	4,764	1,937	3,668	998
Attendance PCT	87.59%	95.28%	96.85%	91.70%	99.80%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité de l’aréna	Popularité de l’équipe
42	17969 - 91.97%	2,371,037$	2,371,037$	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
4,301,224$	113,670,658$	113,670,157$	3,000,000$0$	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
523,826$	4,190,608$	0$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
99,583,554$	209	537,653$	112,369,477$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
116,049,730$	87,468,083$	75,633,985$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
113,670,242$	829,758$	114,500,000$	29,070,242$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Tomas Hertl	AGE:32	PO:1	OV:77
Ivan Barbashev	AGE:30	PO:1	OV:76
Noah Cates	AGE:27	PO:1	OV:75
Matthew Knies	AGE:24	PO:1	OV:75
J.J. Peterka	AGE:24	PO:1	OV:74
Morgan Barron	AGE:27	PO:1	OV:72
Yakov Trenin	AGE:29	PO:1	OV:71
Adam Gaudette	AGE:30	PO:1	OV:71
Jimmy Snuggerud	AGE:22	PO:1	OV:70
Justin Kirkland	AGE:30	PO:1	OV:63
Jonathan Lekkerimäki (R)	AGE:22	PO:1	OV:59
Michael Brandsegg-Nygard	AGE:21	PO:1	OV:59
Henrik Rybinski	AGE:25	PO:1	OV:58
Anton Blidh	AGE:31	PO:1	OV:56
Adam Sykora	AGE:22	PO:1	OV:56
Mackenzie MacEachern	AGE:32	PO:1	OV:55
Nicholas Lardis (R)	AGE:21	PO:1	OV:54
Julian Lutz	AGE:22	PO:1	OV:53
Miko Matikka	AGE:22	PO:1	OV:52

Nathan MacKinnon	AGE:31	PO:1	OV:83
Tomas Hertl	AGE:32	PO:1	OV:77
Ivan Barbashev	AGE:30	PO:1	OV:76
Dylan Cozens	AGE:25	PO:1	OV:75
Noah Cates	AGE:27	PO:1	OV:75
Morgan Barron	AGE:27	PO:1	OV:72
Yakov Trenin	AGE:29	PO:1	OV:71
Frank Nazar	AGE:22	PO:1	OV:71
Adam Gaudette	AGE:30	PO:1	OV:71
Justin Kirkland	AGE:30	PO:1	OV:63
Nate Danielson	AGE:22	PO:1	OV:61
John Hayden	AGE:31	PO:1	OV:59
Henrik Rybinski	AGE:25	PO:1	OV:58
Koehn Ziemmer	AGE:21	PO:1	OV:57
Gracyn Sawchyn	AGE:21	PO:1	OV:57
Ty Mueller	AGE:23	PO:1	OV:57
Danil Zhilkin (R)	AGE:22	PO:1	OV:53
Julian Lutz	AGE:22	PO:1	OV:53
Benjamin Strinden (R)	AGE:24	PO:1	OV:51

Ivan Barbashev	AGE:30	PO:1	OV:76
Matthew Knies	AGE:24	PO:1	OV:75
J.J. Peterka	AGE:24	PO:1	OV:74
Yakov Trenin	AGE:29	PO:1	OV:71
Frank Nazar	AGE:22	PO:1	OV:71
Adam Gaudette	AGE:30	PO:1	OV:71
Jimmy Snuggerud	AGE:22	PO:1	OV:70
Justin Kirkland	AGE:30	PO:1	OV:63
Nate Danielson	AGE:22	PO:1	OV:61
Jonathan Lekkerimäki (R)	AGE:22	PO:1	OV:59
John Hayden	AGE:31	PO:1	OV:59
Michael Brandsegg-Nygard	AGE:21	PO:1	OV:59
Henrik Rybinski	AGE:25	PO:1	OV:58
Koehn Ziemmer	AGE:21	PO:1	OV:57
Ty Mueller	AGE:23	PO:1	OV:57
Anton Blidh	AGE:31	PO:1	OV:56
Adam Sykora	AGE:22	PO:1	OV:56
Mackenzie MacEachern	AGE:32	PO:1	OV:55
Jean-Luc Foudy	AGE:24	PO:1	OV:55
Nicholas Lardis (R)	AGE:21	PO:1	OV:54
Julian Lutz	AGE:22	PO:1	OV:53
Miko Matikka	AGE:22	PO:1	OV:52
Benjamin Strinden (R)	AGE:24	PO:1	OV:51

Défense #1

Défense #2

Gardien

Quinn Hughes	AGE:27	PO:1	OV:78
Miro Heiskanen	AGE:27	PO:1	OV:78
Kevin Bahl	AGE:26	PO:1	OV:76
J.J. Moser	AGE:26	PO:1	OV:76
Wyatt Kaiser	AGE:24	PO:1	OV:72
Louis Crevier	AGE:25	PO:1	OV:71
Declan Carlile	AGE:26	PO:1	OV:65
Scott Perunovich	AGE:28	PO:1	OV:62
Louie Belpedio	AGE:30	PO:1	OV:61
Ryan Ufko	AGE:23	PO:1	OV:61

William Trudeau	AGE:24	PO:1	OV:60
Jack Rathbone	AGE:27	PO:1	OV:58
Alex Kannok Leipert	AGE:26	PO:1	OV:58
Caden Price	AGE:21	PO:1	OV:58
Tanner Molendyk	AGE:21	PO:1	OV:58
Ronan Seeley	AGE:24	PO:1	OV:58
Libor Hajek	AGE:28	PO:1	OV:57
Sean Behrens	AGE:23	PO:1	OV:56
Simon Lundmark	AGE:26	PO:1	OV:56
Reilly Walsh	AGE:27	PO:1	OV:55

Andrei Vasilevskiy	AGE:32	PO:1	OV:89
Joseph Woll	AGE:28	PO:1	OV:81
Devon Levi	AGE:24	PO:1	OV:68
Jakub Malek	AGE:24	PO:1	OV:61
Luke Cavallin	AGE:25	PO:1	OV:58
Damian Clara	AGE:21	PO:1	OV:55

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Date de la Dernière Transaction
Adam Nemec	Philadelphia Flyers	14	72
Aiden Celebrini	Philadelphia Flyers	11	180
Ales Stezka	Philadelphia Flyers	0	0
Alexander Siryatsky	Philadelphia Flyers	12	185
Beckett Hamilton	Philadelphia Flyers	14	98
Blade Jenkins	Philadelphia Flyers	0	0
Darels Uljanskis	Philadelphia Flyers	12	203
Drew Schock	Philadelphia Flyers	13	98
Harry Nansi	Philadelphia Flyers	13	176
Hudson Malinoski	Philadelphia Flyers	11	172
Jan Chovan	Philadelphia Flyers	13	150
Jonas Woo	Philadelphia Flyers	14	202
Jonathan Morello	Philadelphia Flyers	12	194
Jordan Fracsa	Philadelphia Flyers	0	0
Kirill Dolzhenkov	Philadelphia Flyers	10	113
Klavs Veinbergs	Philadelphia Flyers	10	193	2026-10-17
Leo Loof	Philadelphia Flyers	0	0
Logan Sawyer	Philadelphia Flyers	12	106
Lukas Svejkovsky	Philadelphia Flyers	0	0
Luke Coughlin	Philadelphia Flyers	11	167
Massimo Rizzo	Philadelphia Flyers	0	0
Matias Vanhanen	Philadelphia Flyers	14	51
Matthew Mania	Philadelphia Flyers	11	134
Nicholas Kempf	Philadelphia Flyers	12	125
Oiva Keskinen	Philadelphia Flyers	11	193
Ondrey Rumi	Philadelphia Flyers	0	0
Owen Beckner	Philadelphia Flyers	11	202
Owen Protz	Philadelphia Flyers	12	118
Roman Luttsev	Philadelphia Flyers	2025	228
Rudy Guimond	Philadelphia Flyers	11	145
Sebastian Bradshaw	Philadelphia Flyers	11	220
Stepan Zvyagin	Philadelphia Flyers	11	209
Timur Mukhanov	Philadelphia Flyers	11	146
Tobias Tvrznik	Philadelphia Flyers	14	124
Tristen Robbins	Philadelphia Flyers	0	0
Tyler Brennan	Philadelphia Flyers	10	85
Visa Vedenpaa	Philadelphia Flyers	11	170
Yaroslav Bryzgalov	Philadelphia Flyers	14	176
Zach Schulz	Philadelphia Flyers	11	153

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
15	PHI	PHI			PHI DAL	NYI PHI	PHI	TOR PHI CHI
16	PHI	PHI	PHI		PHI	PHI	PHI	PHI
17	PHI	PHI	PHI	PHI	PHI	PHI	PHI	PHI
18	PHI	PHI	PHI	PHI	PHI	PHI	PHI	PHI
19	PHI	PHI	PHI	PHI	PHI	PHI	PHI	PHI
Choix au repêchage conditionnel

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

Philadelphia Flyers Historique de transactions

[2026-10-17 23:53:43] TRADE : From Toronto Maple Leafs to Philadelphia Flyers : Klavs Veinbergs (P), Y:1-RND:0-.
[2026-10-17 23:53:43] TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Cameron Hebig (59), Connor Mylymok (52), Danila Klimovich (57), Francesco Arcuri (56).
[2026-10-17 23:48:13] TRADE : From Toronto Maple Leafs to Philadelphia Flyers : Klavs Veinbergs (P), Y:15-RND:8-TOR.
[2026-10-17 23:48:13] TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Cameron Hebig (59), Connor Mylymok (52), Danila Klimovich (57), Francesco Arcuri (56).
[2026-09-10 21:36:04] William Trudeau signed with Philadelphia Flyers for $850,000 for 3 year(s).
[2026-09-10 21:36:04] William Trudeau was added to Philadelphia Flyers.
[2026-09-10 21:35:40] Ty Mueller signed with Philadelphia Flyers for $945,000 for 3 year(s).
[2026-09-10 21:35:40] Ty Mueller was added to Philadelphia Flyers.
[2026-09-10 21:35:12] Reilly Walsh signed with Philadelphia Flyers for $850,000 for 2 year(s).
[2026-09-10 21:35:12] Reilly Walsh was added to Philadelphia Flyers.
[2026-09-10 21:34:43] Louie Belpedio signed with Philadelphia Flyers for $850,000 for 3 year(s).
[2026-09-10 21:34:43] Louie Belpedio was added to Philadelphia Flyers.
[2026-09-10 21:34:29] Libor Hajek signed with Philadelphia Flyers for $850,000 for 3 year(s).
[2026-09-10 21:34:29] Libor Hajek was added to Philadelphia Flyers.
[2026-09-10 21:34:00] Jack Rathbone signed with Philadelphia Flyers for $850,000 for 3 year(s).
[2026-09-10 21:34:00] Jack Rathbone was added to Philadelphia Flyers.
[2026-09-10 21:32:54] Connor Mylymok signed with Philadelphia Flyers for $850,000 for 3 year(s).
[2026-09-10 21:32:54] Connor Mylymok was added to Philadelphia Flyers.
[2026-09-10 21:31:56] Anton Blidh signed with Philadelphia Flyers for $850,000 for 3 year(s).
[2026-09-10 21:31:56] Anton Blidh was added to Philadelphia Flyers.
[2026-09-06 23:17:04] TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Ian Moore (65).
[2026-08-20 23:51:40] Leo Loof has been added to Philadelphia Flyers.
[2026-08-20 23:51:26] Leo Loof was released.
[2026-08-20 23:51:26] Philadelphia Flyers paid $0 to release Leo Loof.
[2026-08-20 23:51:08] Austin Strand was released.
[2026-08-20 23:51:08] Philadelphia Flyers paid $0 to release Austin Strand.
[2026-08-20 23:50:10] Massimo Rizzo has been added to Philadelphia Flyers.
[2026-08-20 23:49:55] Massimo Rizzo was released.
[2026-08-20 23:49:55] Philadelphia Flyers paid $0 to release Massimo Rizzo.
[2026-08-20 23:49:35] Lukas Svejkovsky has been added to Philadelphia Flyers.
[2026-08-20 23:49:29] Lukas Svejkovsky was released.
[2026-08-20 23:49:29] Philadelphia Flyers paid $0 to release Lukas Svejkovsky.
[2026-08-20 23:30:32] TRADE : From Philadelphia Flyers to Buffalo Sabres : Nathan Walker (69).
[2026-08-11 23:13:06] Nathan Walker signed with Philadelphia Flyers for $887,500 for 3 year(s).
[2026-08-11 23:13:06] Nathan Walker was added to Philadelphia Flyers.
[2026-08-09 22:22:44] TRADE : From Carolina Hurricanes to Philadelphia Flyers : Adam Gaudette (71), Yakov Trenin (71), Jonathan Lekkerimäki (59).
[2026-08-09 22:22:44] TRADE : From Philadelphia Flyers to Carolina Hurricanes : Joe Veleno (70), Morgan Frost (74), Nico Daws (67), Y:16-RND:4-PHI, Y:15-RND:7-CHI.
[2026-08-08 23:02:19] Luke Cavallin signed with Philadelphia Flyers for $850,000 for 3 year(s).
[2026-08-08 23:02:19] Luke Cavallin was added to Philadelphia Flyers.
[2026-08-08 22:58:18] Justin Kirkland signed with Philadelphia Flyers for $850,000 for 3 year(s).
[2026-08-08 22:58:18] Justin Kirkland was added to Philadelphia Flyers.
[2026-08-08 22:46:00] Benjamin Strinden was added to Philadelphia Flyers.
[2026-08-02 23:47:44] Jakub Malek signed with Philadelphia Flyers for $850,000 for 2 year(s).
[2026-08-02 23:47:44] Jakub Malek was added to Philadelphia Flyers.
[2026-08-02 23:37:54] Ian Moore signed with Philadelphia Flyers for $1,150,000 for 2 year(s).
[2026-08-02 23:37:54] Ian Moore was added to Philadelphia Flyers.
[2026-08-02 00:10:41] TRADE : From Philadelphia Flyers to Dallas Stars : Dylan Holloway (74), Y:15-RND:3-PHI.
[2026-08-02 00:10:41] TRADE : From Dallas Stars to Philadelphia Flyers : Dylan Cozens (75), Y:15-RND:5-DAL.
[2026-08-01 00:00:19] TRADE : From NewYork Islanders to Philadelphia Flyers : Louis Crevier (70), Y:15-RND:6-NYI.
[2026-08-01 00:00:19] TRADE : From Philadelphia Flyers to NewYork Islanders : Nicolas Hague (72), Corson Ceulemans (57), Y:15-RND:4-PHI.
[2026-07-30 23:31:16] Henrik Rybinski signed with Philadelphia Flyers for $875,000 for 1 year(s).
[2026-07-30 23:31:16] Henrik Rybinski was added to Philadelphia Flyers.
[2026-07-22 22:15:44] Lehigh Valley Phantoms hired Ryan Huska for $1,000,000 for 3 year(s).
[2026-07-22 22:15:30] Philadelphia Flyers hired Martin St. Louis for $3,000,000 for 3 year(s).
[2026-07-14 22:59:12] Ondrey Rumi has been added to Philadelphia Flyers.
[2026-07-12 20:52:53] Philadelphia Flyers drafts Jonas Woo as the #202 overall pick in the Entry Draft of year 14.
[2026-07-11 22:22:56] Philadelphia Flyers drafts Yaroslav Bryzgalov as the #176 overall pick in the Entry Draft of year 14.
[2026-07-08 23:31:14] Philadelphia Flyers drafts Tobias Tvrznik as the #124 overall pick in the Entry Draft of year 14.
[2026-07-08 23:19:32] Philadelphia Flyers drafts Beckett Hamilton as the #98 overall pick in the Entry Draft of year 14.
[2026-07-05 20:33:08] Philadelphia Flyers drafts Adam Nemec as the #72 overall pick in the Entry Draft of year 14.
[2026-07-05 20:14:54] Philadelphia Flyers drafts Matias Vanhanen as the #51 overall pick in the Entry Draft of year 14.
[2026-06-09 21:29:51] Michael Brandsegg-Nygard signed with Philadelphia Flyers for $975,000 for 1 year(s).
[2026-06-09 21:29:51] Michael Brandsegg-Nygard was added to Philadelphia Flyers.
[2026-06-09 21:29:19] Michael Brandsegg-Nygård was released by Philadelphia Flyers
[2026-06-07 21:02:39] Martin St. Louis contract with Philadelphia Flyers has ended.
[2026-06-07 21:02:39] Ryan Huska contract with Lehigh Valley Phantoms has ended.
[2026-05-31 22:17:27] Philadelphia Flyers was eliminated at round 2 of year 13.
[2026-05-23 22:11:59] John Hayden has been selected as captain for Lehigh Valley Phantoms.
[2026-05-23 22:11:59] Unknown Player is no longer captain for Lehigh Valley Phantoms.

Louie Belpedio est dehors pour 1 mois à cause de Strained Right Knee Injury.

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: 4 \| W: 1 \| L: 3 \| OTL: 0 \| P: 2 GF: 8 \| GA: 12 \| PP%: 15.38% \| PK%: 83.33% DG: Dominic Gariepy \| Morale : 40 \| Moyenne d’équipe : 75 Prochains matchs #52 vs NewYork Rangers