Lehigh Valley Phantoms
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Toronto Maple Leafs 0-2-0, 0pts	4	FINAL	5	Philadelphia Flyers 2-0-0, 4pts

Team Stats
L2	Séquence	W2
0-0-0	Fiche domicile	2-0-0
0-2-0	Fiche visiteur	0-0-0
0-2-0	Derniers 10 matchs	2-0-0
4.00	Buts par match	5.00
5.00	Buts contre par match	4.00
16.67%	Pourcentage en avantage numérique	20.00%
80.00%	Pourcentage en désavantage numérique	83.33%

Toronto Maple Leafs
0-2-0, 0pts

FINAL

Philadelphia Flyers
2-0-0, 4pts

Team Stats
L2	Séquence	W2
0-0-0	Fiche domicile	2-0-0
0-2-0	Fiche visiteur	0-0-0
0-2-0	Derniers 10 matchs	2-0-0
4.00	Buts par match	5.00
5.00	Buts contre par match	4.00
16.67%	Pourcentage en avantage numérique	20.00%
80.00%	Pourcentage en désavantage numérique	83.33%

Philadelphia Flyers
2-0-0, 4pts

Jour 6

Toronto Maple Leafs
0-2-0, 0pts

Statistiques d’équipe
W2	Séquence	L2
2-0-0	Fiche domicile	0-0-0
0-0-0	Fiche visiteur	0-2-0
2-0-0	10 derniers matchs	0-2-0
5.00	Buts par match	4.00
4.00	Buts contre par match	4.00
20.00%	Pourcentage en avantage numérique	16.67%
83.33%	Pourcentage en désavantage numérique	80.00%

Philadelphia Flyers
2-0-0, 4pts

Jour 8

Toronto Maple Leafs
0-2-0, 0pts

Statistiques d’équipe
W2	Séquence	L2
2-0-0	Fiche domicile	0-0-0
0-0-0	Fiche visiteur	0-2-0
2-0-0	10 derniers matchs	0-2-0
5.00	Buts par match	4.00
4.00	Buts contre par match	4.00
20.00%	Pourcentage en avantage numérique	16.67%
83.33%	Pourcentage en désavantage numérique	80.00%

Toronto Maple Leafs
0-2-0, 0pts

Jour 10

Philadelphia Flyers
2-0-0, 4pts

Statistiques d’équipe
L2	Séquence	W2
0-0-0	Fiche domicile	2-0-0
0-2-0	Fiche visiteur	0-0-0
0-2-0	10 derniers matchs	2-0-0
4.00	Buts par match	5.00
5.00	Buts contre par match	5.00
16.67%	Pourcentage en avantage numérique	20.00%
80.00%	Pourcentage en désavantage numérique	83.33%

Meneurs d'équipe
	Buts Marco Rossi 3	Passes Jaden Schwartz 5

	Points Jaden Schwartz 6	Plus/Moins Marco Rossi 3

	Victoires Thomas McCollum 1	Pourcentage d’arrêts Thomas McCollum 0.913

Statistiques d’équipe
Buts pour 10 5.00 GFG	Tirs pour 81 40.50 Avg	Pourcentage en avantage numérique 20.0% 1 GF	Début de zone offensive 36.5%
Buts contre 8 4.00 GAA	Tirs contre 87 43.50 Avg	Pourcentage en désavantage numérique 83.3%% 1 GA	Début de la zone défensive 37.6%

Informations de l'équipe
	Directeur général	Interim
	Entraîneur	Jacques Lemaire
	Division	Eastern
	Conférence	Circuit Jodoin
	Capitaine	Nathan Horton
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	20,000
	Assistance	13,430
	Billets de saison	8,000
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	27
	Limite contact	50 / 75
	Espoirs	6
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	85,000,000$
	Valeur du plafond salarial spécial	250,000$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	3,207,061$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	29,064,768$
	Compte bancaire projeté	29,064,768$

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	TA	SP	Âge	Contrat	Salaire
1	Nathan Horton (C)			X		100.00	99	87	58	83	81	87	88	99	83	99	99	85	82	99	99	19	99	84		0	38	1	6,200,000$
2	Oscar Moller	X		X		100.00	48	14	99	86	73	82	83	89	85	87	89	58	73	83	96	22	99	75		0	34	3	5,200,000$
3	Jared Boll			X		100.00	99	99	53	85	75	82	79	89	66	85	89	58	75	85	84	32	99	75		0	37	2	7,000,000$
4	Marco Rossi (R)	X				100.00	71	32	80	77	73	84	82	90	80	80	78	74	71	54	70	82	99	73		0	21	5	2,500,000$
5	Daniel Winnik	X	X	X		99.00	89	63	67	87	79	76	78	84	86	83	78	62	64	84	85	28	99	73		0	38	1	6,116,900$
6	Gilbert Brule	X				100.00	32	6	98	87	73	82	80	78	86	73	75	67	70	99	99	37	99	71	N	0	36	2	501,000$
7	Jaden Schwartz	X	X			100.00	38	1	99	89	76	83	83	79	85	75	71	74	72	70	76	40	99	71	N	0	31	3	3,850,000$
8	Dmitri Jaskin		X	X		100.00	66	30	82	87	77	85	83	80	54	69	74	68	72	80	79	47	99	71		0	30	1	1,000,000$
9	Colle Cassels	X				100.00	92	57	62	80	74	79	81	74	87	71	71	73	65	73	82	52	99	71		0	28	3	1,500,000$
10	Scott Kosmachuk			X		100.00	81	50	76	84	76	79	83	75	49	71	75	65	70	80	75	47	99	70		0	29	2	1,800,000$
11	Karl Henriksson	X	X			100.00	67	26	80	82	72	70	74	84	80	78	71	71	68	63	73	70	99	70		0	22	1	1,200,000$
12	Brett Howden	X				100.00	80	43	73	77	77	78	80	71	87	66	69	78	71	70	84	72	99	70		0	25	1	1,100,000$
13	Erik Karlsson				X	98.00	31	1	99	85	70	82	82	99	62	99	99	60	75	85	96	30	99	76	N	0	33	7	5,900,000$
14	Jakub Kindl				X	99.00	36	14	98	84	79	78	74	89	46	90	88	70	65	80	79	41	99	74		0	36	3	2,000,000$
15	Zachary Jones				X	100.00	68	25	85	85	75	82	82	93	57	87	73	71	63	38	59	61	99	73		0	22	4	4,150,000$
16	Keaton Ellerby				X	98.00	63	33	81	88	77	82	80	48	50	49	44	83	55	99	99	26	99	71	N	0	36	3	2,000,000$
17	Roman Josi				X	100.00	46	13	98	89	76	80	83	83	59	71	84	60	75	80	78	23	99	71		0	33	1	700,000$
18	Josh Brook				X	100.00	79	38	72	79	76	78	80	72	57	70	70	77	63	51	51	65	99	70		0	24	4	2,000,000$
Rayé
1	Jonathan Dalhen (R)	X	X			100.00	83	48	71	87	75	75	79	79	86	69	74	68	70	60	49	62	99	69		0	25	2	975,000$
2	Jesper Lindgren				X	100.00	63	25	82	88	71	84	83	82	54	82	74	66	60	60	69	51	99	71		0	27	1	900,000$
3	Olli Juolevi				X	100.00	63	20	88	84	79	84	82	70	57	72	68	74	67	56	75	71	99	70		0	25	2	1,450,000$
Équipe Mineure
1	Morgan Klimchuk		X			100.00	65	32	79	83	74	81	81	71	51	66	69	73	68	75	82	62	99	69		0	29	1	1,000,000$
2	Joshua Bailey	X				100.00	48	15	95	87	74	81	82	66	87	66	63	71	65	96	95	32	99	69		0	35	2	1,499,999$
3	Mike Brown		X	X		99.00	99	99	57	85	77	82	79	72	62	73	73	58	74	78	79	26	99	69		0	38	2	1,200,000$
4	Zachary Bolduc (R)	X				100.00	73	29	81	72	73	78	78	81	79	74	74	72	74	54	67	82	99	69		0	20	2	925,000$
5	Tye McGinn		X			100.00	70	35	82	87	78	81	83	57	52	55	59	70	65	97	94	24	99	67		0	33	1	600,000$
6	Reilly Smith		X	X		100.00	44	12	98	87	74	83	83	66	53	56	68	70	68	82	91	32	99	67	N	0	31	1	850,000$
7	Peyton Krebs (R)	X	X			100.00	74	37	71	67	72	67	67	80	78	75	69	68	69	55	77	75	99	66		0	22	2	500,000$
8	Rocco Grimaldi	X		X		100.00	63	21	83	86	68	81	83	66	87	57	66	63	68	71	75	46	99	66	N	0	29	2	500,001$
9	Barrett Hayton (R)	X	X			100.00	72	38	72	70	76	63	63	68	76	67	68	69	68	65	75	83	99	65		0	23	3	500,000$
10	Ryan McAllister (R)	X				100.00	71	31	77	72	75	68	68	81	73	77	71	65	71	40	47	54	99	65		0	21	3	925,000$
11	Tyler Boucher (R)		X	X		100.00	74	38	66	72	76	62	62	62	60	63	70	70	70	51	51	88	99	63		0	20	3	500,000$
12	Tyson Foerster (R)	X				100.00	73	39	73	67	75	67	67	69	78	65	69	65	70	45	48	80	99	62		0	21	2	650,000$
13	Carson Lambos (R)				X	97.91	76	34	82	78	77	81	82	67	53	71	68	79	66	38	52	77	99	69		0	20	1	925,000$
14	Marco Scandella				X	100.00	56	24	95	87	81	85	83	51	57	47	46	75	59	92	93	27	99	68		0	33	2	1,499,999$
15	Tanner Molendyk (R)				X	100.00	68	29	79	74	73	73	73	63	63	70	66	78	66	36	41	81	99	66		0	18	3	925,000$
16	Scott Morrow (R)				X	100.00	70	37	77	67	76	72	72	72	58	69	73	70	71	29	44	74	99	65		0	20	2	650,000$
17	Timothy Lijegren (R)				X	100.00	66	33	83	87	77	76	77	57	53	53	63	63	70	63	66	69	99	64		0	24	2	615,000$
18	Artyom Duba (R)				X	100.00	69	34	76	70	72	70	70	62	58	68	67	71	67	43	49	77	99	64		0	19	3	650,000$
19	Adam Tambellini	X	X			100.00	63	32	81	78	77	76	81	66	86	60	68	66	68	64	72	50	99	66	N	0	29	2	500,001$
20	Stephen Halliday (R)	X				100.00	76	43	71	67	80	65	65	76	75	72	69	66	68	47	50	67	99	64		0	21	2	650,000$
21	Jaromir Pytlik (R)	X				100.00	71	37	73	65	78	63	66	62	77	58	63	69	65	40	36	65	99	60		0	22	1	500,000$
22	Owen Power (R)				X	95.00	77	38	80	70	82	80	80	80	63	75	72	73	70	51	72	90	99	70		0	20	1	925,000$
23	Jacob Moverare (R)				X	100.00	79	41	75	76	79	83	83	63	57	69	56	65	55	70	65	60	99	67		0	24	2	750,000$
24	Santeri Airola (R)				X	100.00	63	25	82	79	68	73	76	69	51	69	49	60	50	48	48	54	99	62	N	0	23	3	500,001$

	MOYENNE D’ÉQUIPE					99.71	66	35	81	84	75	81	81	81	69	77	77	70	69	74	79	47	99	72

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	Thomas McCollum	98.00	82	84	83	87	93	99	99	99	98	82	84	85	90	42	99	76	0	35	5	5,800,000$
2	Tyler Parsons (R)	100.00	81	87	83	81	90	90	90	95	95	77	78	57	72	71	99	70	0	25	2	5,800,000$
Rayé
Équipe Mineure
1	Jaroslav Halak	100.00	82	77	71	74	81	75	72	76	74	78	68	84	97	31	99	65	0	38	2	500,001$
2	Jeremy Swayman	99.00	80	75	77	80	80	81	81	81	81	74	75	59	67	64	99	64	0	24	3	750,000$
3	Maxim Mayorov (R)	100.00	75	72	79	82	73	78	78	73	73	75	73	33	38	69	99	58	0	19	3	650,000$

	MOYENNE D’ÉQUIPE	99.00	82	86	83	84	92	95	95	97	97	80	81	71	81	57	99	73

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jacques Lemaire	86	93	95	88	99	99	36	CAN	77	5	1,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	FL	S1	S2	S3
1	Jaden Schwartz	Philadelphia Flyers	C/LW	2	1	5	6	3	0	0	2	0	8	1	3	12.50%	1	36	18.04	0	0	0	0	3	0	6	0	0	0%	2	2	0	3.33	0	0	1	0
2	Marco Rossi	Philadelphia Flyers	C	2	3	2	5	3	0	0	1	1	5	1	3	60.00%	0	28	14.13	0	0	0	0	3	0	0	1	1	41.38%	29	0	0	3.54	0	1	0	1
3	Jared Boll	Philadelphia Flyers	RW	2	2	3	5	3	2	0	5	0	5	3	4	40.00%	0	29	14.84	0	0	0	0	3	0	0	0	0	66.67%	3	0	1	3.37	0	1	0	0
4	Nathan Horton	Philadelphia Flyers	RW	2	0	3	3	1	19	5	3	1	4	0	3	0%	3	29	14.57	0	1	1	1	3	0	0	0	0	100.00%	1	0	0	2.06	1	0	0	0
5	Oscar Moller	Philadelphia Flyers	C/RW	2	2	0	2	1	0	0	2	2	6	2	2	33.33%	0	32	16.21	0	0	0	0	4	0	0	0	0	44.68%	47	1	0	1.23	0	0	1	0
6	Daniel Winnik	Philadelphia Flyers	C/LW/RW	2	1	1	2	1	0	0	3	1	6	1	5	16.67%	0	33	16.79	1	0	1	4	4	0	0	1	0	0%	1	2	0	1.19	0	0	0	0
7	Jakub Kindl	Philadelphia Flyers	D	2	0	2	2	-1	0	0	0	2	7	1	0	0%	3	39	19.96	0	1	1	1	4	0	3	0	0	0%	0	4	1	1.00	0	0	0	0
8	Gilbert Brule	Philadelphia Flyers	C	2	1	0	1	-1	0	0	1	5	4	3	3	25.00%	3	30	15.35	0	0	0	0	0	0	3	0	0	42.22%	45	0	1	0.65	0	0	0	0
9	Zachary Jones	Philadelphia Flyers	D	2	0	1	1	0	0	0	1	1	2	1	2	0%	5	41	20.76	0	0	0	0	3	0	7	0	0	0%	0	0	1	0.48	0	0	0	0
10	Roman Josi	Philadelphia Flyers	D	2	0	1	1	3	0	0	1	3	1	2	0	0%	3	32	16.36	0	0	0	0	3	0	0	0	0	0%	0	3	0	0.61	0	0	0	0
11	Dmitri Jaskin	Philadelphia Flyers	LW/RW	2	0	1	1	-1	0	0	0	1	7	0	5	0%	2	26	13.05	0	0	0	0	0	0	0	0	0	0%	0	1	0	0.77	0	0	0	0
12	Josh Brook	Philadelphia Flyers	D	2	0	1	1	3	0	0	3	1	4	1	3	0%	2	32	16.30	0	0	0	0	0	0	4	0	0	0%	0	0	0	0.61	0	0	0	1
13	Keaton Ellerby	Philadelphia Flyers	D	2	0	0	0	0	2	0	2	1	1	1	0	0%	3	48	24.03	0	0	0	0	0	0	6	0	0	0%	0	0	1	0	0	0	0	0
14	Scott Kosmachuk	Philadelphia Flyers	RW	2	0	0	0	-1	0	0	1	3	5	1	1	0%	3	22	11.04	0	0	0	0	1	0	0	0	0	0%	1	0	0	0	0	0	0	0
15	Erik Karlsson	Philadelphia Flyers	D	2	0	0	0	-1	0	0	0	0	7	3	3	0%	4	45	22.63	0	0	0	0	4	0	0	0	0	0%	0	1	0	0	0	0	0	0
16	Karl Henriksson	Philadelphia Flyers	C/LW	2	0	0	0	-1	0	0	0	0	6	1	3	0%	1	24	12.20	0	0	0	0	0	0	4	0	0	0%	0	0	0	0	0	0	0	0
17	Colle Cassels	Philadelphia Flyers	C	2	0	0	0	-1	2	0	3	2	1	1	2	0%	0	29	14.63	0	0	0	0	0	0	1	0	0	33.33%	3	0	1	0	0	0	0	0
18	Brett Howden	Philadelphia Flyers	C	2	0	0	0	-1	2	0	4	6	2	0	3	0%	1	26	13.48	0	0	0	0	0	1	5	0	0	68.42%	38	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				36	10	20	30	10	27	5	32	30	81	23	45	12.35%	34	588	16.35	1	2	3	6	43	1	44	2	1	48.24%	170	14	6	1.02	1	2	2	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	PCT	GAA	MP	GA	SA	SAR	PS %	ST	BG
1	Thomas McCollum	Philadelphia Flyers	1	1	0.913	4.00	60	4	46	10	0	1	1
2	Tyler Parsons	Philadelphia Flyers	1	1	0.902	4.00	60	4	41	20	0	1	1
Statistiques d’équipe totales ou en moyenne			2	2	0.908	4.00	120	8	87	30		2	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 joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Salaire restant	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 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
Brett Howden	Philadelphia Flyers	C	25	1989-09-07 20:47:10	No	206 Lbs	6 ft2	No	No	N/A		No	No	1	Pro Only	1,100,000$	785,714$	1,100,000$	785,714$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Colle Cassels	Philadelphia Flyers	C	28	1986-10-20 09:56:59	No	195 Lbs	6 ft0	No	No	N/A		No	No	3	Pro Only	1,500,000$	1,071,429$	1,500,000$	1,071,429$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Daniel Winnik	Philadelphia Flyers	C/LW/RW	38	1976-08-06 14:38:02	No	216 Lbs	6 ft2	No	No	N/A		No	No	1	Pro Only	6,116,900$	4,369,214$	6,116,900$	4,369,214$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dmitri Jaskin	Philadelphia Flyers	LW/RW	30	1984-10-14 12:58:29	No	211 Lbs	6 ft3	No	No	N/A		No	No	1	Pro Only	1,000,000$	714,286$	1,000,000$	714,286$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Erik Karlsson	Philadelphia Flyers	D	33	1981-08-06 20:38:02	No	183 Lbs	5 ft11	Yes	No	N/A		No	No	7	Pro Only	5,900,000$	4,214,286$	5,900,000$	4,214,286$	No	5,900,000$	5,900,000$	5,900,000$	5,900,000$	5,900,000$	5,900,000$	-	-	-	Yes	Yes	Yes	Yes	Yes	Yes	-	-	-
Gilbert Brule	Philadelphia Flyers	C	36	1978-08-07 02:38:02	No	191 Lbs	5 ft10	Yes	No	N/A		No	No	2	Pro Only	501,000$	357,857$	501,000$	357,857$	No	501,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-
Jaden Schwartz	Philadelphia Flyers	C/LW	31	1983-08-06 08:38:02	No	211 Lbs	5 ft11	Yes	No	N/A		No	No	3	Pro Only	3,850,000$	2,750,000$	3,850,000$	2,750,000$	No	3,850,000$	3,850,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-
Jakub Kindl	Philadelphia Flyers	D	36	1978-08-07 02:38:02	No	215 Lbs	6 ft3	No	No	N/A		No	No	3	Pro Only	2,000,000$	1,428,571$	2,000,000$	1,428,571$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Jared Boll	Philadelphia Flyers	RW	37	1977-08-06 20:38:02	No	204 Lbs	6 ft2	No	No	N/A		No	No	2	Pro Only	7,000,000$	5,000,000$	7,000,000$	5,000,000$	No	7,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jesper Lindgren	Philadelphia Flyers	D	27	1987-10-20 08:17:02	No	178 Lbs	6 ft0	No	No	N/A		No	No	1	Pro Only	900,000$	642,857$	900,000$	642,857$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jonathan Dalhen	Philadelphia Flyers	C/LW	25	1989-09-26 15:35:53	Yes	202 Lbs	6 ft1	No	No	N/A		No	No	2	Pro Only	975,000$	696,429$	975,000$	696,429$	No	975,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Josh Brook	Philadelphia Flyers	D	24	1990-09-19 10:49:44	No	200 Lbs	6 ft4	No	No	Trade	2024-03-30	No	No	4	Pro Only	2,000,000$	1,428,571$	2,000,000$	1,428,571$	No	2,000,000$	2,000,000$	2,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Karl Henriksson	Philadelphia Flyers	C/LW	22	1992-10-04 05:44:29	No	184 Lbs	6 ft0	No	No	N/A		No	No	1	Pro Only	1,200,000$	857,143$	1,200,000$	857,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Keaton Ellerby	Philadelphia Flyers	D	36	1978-08-07 02:38:02	No	199 Lbs	6 ft4	Yes	No	N/A		No	No	3	Pro Only	2,000,000$	1,428,571$	2,000,000$	1,428,571$	No	2,000,000$	2,000,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-
Marco Rossi	Philadelphia Flyers	C	21	1993-08-31 21:51:49	Yes	197 Lbs	5 ft10	No	No	N/A		No	No	5	Pro Only	2,500,000$	1,785,714$	2,500,000$	1,785,714$	No	2,500,000$	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Nathan Horton	Philadelphia Flyers	RW	38	1976-08-06 14:38:02	No	237 Lbs	6 ft2	No	No	N/A		No	No	1	Pro Only	6,200,000$	4,428,571$	6,200,000$	4,428,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Olli Juolevi	Philadelphia Flyers	D	25	1989-09-26 15:13:02	No	206 Lbs	6 ft7	No	No	N/A		No	No	2	Pro Only	1,450,000$	1,035,714$	1,450,000$	1,035,714$	No	1,450,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Oscar Moller	Philadelphia Flyers	C/RW	34	1980-08-06 14:38:02	No	198 Lbs	5 ft10	No	No	N/A		No	No	3	Pro Only	5,200,000$	3,714,286$	5,200,000$	3,714,286$	No	5,200,000$	5,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Roman Josi	Philadelphia Flyers	D	33	1981-08-06 20:38:02	No	202 Lbs	6 ft1	No	No	N/A		No	No	1	Pro Only	700,000$	500,000$	700,000$	500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Scott Kosmachuk	Philadelphia Flyers	RW	29	1985-10-05 14:35:36	No	213 Lbs	6 ft0	No	No	Trade	2024-01-13	No	No	2	Pro Only	1,800,000$	1,285,714$	1,800,000$	1,285,714$	No	1,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Thomas McCollum	Philadelphia Flyers	G	35	1979-08-06 08:38:02	No	218 Lbs	6 ft1	No	No	N/A		No	No	5	Pro Only	5,800,000$	4,142,857$	5,800,000$	4,142,857$	No	5,800,000$	5,800,000$	5,800,000$	5,800,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Tyler Parsons	Philadelphia Flyers	G	25	1989-09-19 10:11:30	Yes	210 Lbs	6 ft4	No	No	N/A		No	No	2	Pro Only	5,800,000$	4,142,857$	5,800,000$	4,142,857$	No	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Zachary Jones	Philadelphia Flyers	D	22	1992-10-04 04:22:45	No	191 Lbs	6 ft3	No	No	N/A		No	No	4	Pro Only	4,150,000$	2,964,286$	4,150,000$	2,964,286$	No	2,150,000$	2,150,000$	2,150,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	30.00	203 Lbs	6 ft1	2.57	3,027,952$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
69,642,900$	45,426,000$	32,900,000$	18,350,000$	14,200,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Daniel Winnik	Oscar Moller	Nathan Horton	29	1	2	2
2	Jaden Schwartz	Marco Rossi	Jared Boll	26	1	2	2
3	Dmitri Jaskin	Gilbert Brule	Colle Cassels	25	1	2	2
4	Karl Henriksson	Brett Howden	Scott Kosmachuk	20	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Karlsson	Keaton Ellerby	31	1	2	2
2	Zachary Jones	Jakub Kindl	30	1	2	2
3	Josh Brook	Roman Josi	28	1	2	2
4	Erik Karlsson	Keaton Ellerby	11	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Daniel Winnik	Oscar Moller	Nathan Horton	60	1	2	2
2	Jaden Schwartz	Marco Rossi	Jared Boll	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Karlsson	Jakub Kindl	60	1	2	2
2	Zachary Jones	Roman Josi	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Brett Howden	Jaden Schwartz	60	1	2	2
2	Colle Cassels	Karl Henriksson	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zachary Jones	Keaton Ellerby	60	1	2	2
2	Josh Brook	Jakub Kindl	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Brett Howden	60	1	2	2	Zachary Jones	Keaton Ellerby	60	1	2	2
2	Marco Rossi	40	1	2	2	Josh Brook	Jakub Kindl	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Marco Rossi	Daniel Winnik	60	1	2	2
2	Oscar Moller	Nathan Horton	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Karlsson	Keaton Ellerby	60	1	2	2
2	Zachary Jones	Jakub Kindl	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Marco Rossi	Oscar Moller	Nathan Horton	Erik Karlsson	Roman Josi

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jaden Schwartz	Brett Howden	Colle Cassels	Keaton Ellerby	Jakub Kindl

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jared Boll, Daniel Winnik, Gilbert Brule	Oscar Moller, Nathan Horton	Jaden Schwartz

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jakub Kindl, Erik Karlsson, Roman Josi	Zachary Jones	Keaton Ellerby, Josh Brook

Tirs de pénalité
Nathan Horton, Jared Boll, Oscar Moller, Jaden Schwartz, Dmitri Jaskin

Gardien
#1 : Thomas McCollum, #2 : Tyler Parsons

Lignes d’attaque personnalisées en prolongation
Nathan Horton, Jared Boll, Oscar Moller, Jaden Schwartz, Dmitri Jaskin , Brett Howden, Brett Howden, Marco Rossi, Gilbert Brule, Scott Kosmachuk, Karl Henriksson

Lignes de défense personnalisées en prolongation
Jakub Kindl, Erik Karlsson, Zachary Jones, Keaton Ellerby, Roman Josi

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	Toronto Maple Leafs	2	2	0	0	0	0	0	0	10	8	2	2	2	0	0	0	0	0	0	10	8	2	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	20	30	0	0	3	5	2	0	81	29	23	29	0	87	34	27	32	5	1	20.00%	6	1	83.33%	0	32	62	51.61%	33	64	51.56%	17	44	38.64%	41	25	45	16	33	16
	Total	2	2	0	0	0	0	0	0	10	8	2	2	2	0	0	0	0	0	0	10	8	2	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	20	30	0	0	3	5	2	0	81	29	23	29	0	87	34	27	32	5	1	20.00%	6	1	83.33%	0	32	62	51.61%	33	64	51.56%	17	44	38.64%	41	25	45	16	33	16
	_Since Last GM Reset	2	2	0	0	0	0	0	0	10	8	2	2	2	0	0	0	0	0	0	10	8	2	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	20	30	0	0	3	5	2	0	81	29	23	29	0	87	34	27	32	5	1	20.00%	6	1	83.33%	0	32	62	51.61%	33	64	51.56%	17	44	38.64%	41	25	45	16	33	16
	_Vs Conference	2	2	0	0	0	0	0	0	10	8	2	2	2	0	0	0	0	0	0	10	8	2	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	20	30	0	0	3	5	2	0	81	29	23	29	0	87	34	27	32	5	1	20.00%	6	1	83.33%	0	32	62	51.61%	33	64	51.56%	17	44	38.64%	41	25	45	16	33	16
	_Vs Division	2	2	0	0	0	0	0	0	10	8	2	2	2	0	0	0	0	0	0	10	8	2	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	20	30	0	0	3	5	2	0	81	29	23	29	0	87	34	27	32	5	1	20.00%	6	1	83.33%	0	32	62	51.61%	33	64	51.56%	17	44	38.64%	41	25	45	16	33	16

			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
2	4	W2	10	20	30	81	87	34	27	32	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	10	8

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	10	8

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
5	1	20.00%	6	1	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
29	23	29	0	3	5	2	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
32	62	51.61%	33	64	51.56%	17	44	38.64%

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
41	25	45	16	33	16

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	5	Toronto Maple Leafs	4	Philadelphia Flyers	5	BW	Sommaire du match
4	13	Toronto Maple Leafs	4	Philadelphia Flyers	5	BW	Sommaire du match
6	21	Philadelphia Flyers	-	Toronto Maple Leafs	-
8	29	Philadelphia Flyers	-	Toronto Maple Leafs	-
10	37	Toronto Maple Leafs	-	Philadelphia Flyers	-
12	45	Philadelphia Flyers	-	Toronto Maple Leafs	-
14	53	Toronto Maple Leafs	-	Philadelphia Flyers	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	5000	5000	5000	4000	1000
Prix des billets	85	75	60	50	250
Assistance	9,715	6,767	5,324	3,818	1,235
Attendance PCT	97.15%	67.67%	53.24%	47.73%	61.75%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
39	13430 - 67.15%	1,603,531$	3,207,061$	20000	90

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	69,642,900$	61,942,900$	0$	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
0$	0$	0$	23	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	10	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	29,064,768$	29,064,768$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	85,000,000$	85,000,000$	-55,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Daniel Winnik	AGE:38	PO:28	OV:73
Dmitri Jaskin	AGE:30	PO:47	OV:71
Jaden Schwartz	AGE:31	PO:40	OV:71
Karl Henriksson	AGE:22	PO:70	OV:70
Jonathan Dalhen (R)	AGE:25	PO:62	OV:69
Morgan Klimchuk	AGE:29	PO:62	OV:69
Mike Brown	AGE:38	PO:26	OV:69
Reilly Smith	AGE:31	PO:32	OV:67
Tye McGinn	AGE:33	PO:24	OV:67
Peyton Krebs (R)	AGE:22	PO:75	OV:66
Adam Tambellini	AGE:29	PO:50	OV:66
Barrett Hayton (R)	AGE:23	PO:83	OV:65
Tyler Boucher (R)	AGE:20	PO:88	OV:63

Oscar Moller	AGE:34	PO:22	OV:75
Marco Rossi (R)	AGE:21	PO:82	OV:73
Daniel Winnik	AGE:38	PO:28	OV:73
Colle Cassels	AGE:28	PO:52	OV:71
Jaden Schwartz	AGE:31	PO:40	OV:71
Gilbert Brule	AGE:36	PO:37	OV:71
Brett Howden	AGE:25	PO:72	OV:70
Karl Henriksson	AGE:22	PO:70	OV:70
Zachary Bolduc (R)	AGE:20	PO:82	OV:69
Jonathan Dalhen (R)	AGE:25	PO:62	OV:69
Joshua Bailey	AGE:35	PO:32	OV:69
Peyton Krebs (R)	AGE:22	PO:75	OV:66
Adam Tambellini	AGE:29	PO:50	OV:66
Rocco Grimaldi	AGE:29	PO:46	OV:66
Barrett Hayton (R)	AGE:23	PO:83	OV:65
Ryan McAllister (R)	AGE:21	PO:54	OV:65
Stephen Halliday (R)	AGE:21	PO:67	OV:64
Tyson Foerster (R)	AGE:21	PO:80	OV:62
Jaromir Pytlik (R)	AGE:22	PO:65	OV:60

Nathan Horton	AGE:38	PO:19	OV:84
Jared Boll	AGE:37	PO:32	OV:75
Oscar Moller	AGE:34	PO:22	OV:75
Daniel Winnik	AGE:38	PO:28	OV:73
Dmitri Jaskin	AGE:30	PO:47	OV:71
Scott Kosmachuk	AGE:29	PO:47	OV:70
Mike Brown	AGE:38	PO:26	OV:69
Reilly Smith	AGE:31	PO:32	OV:67
Rocco Grimaldi	AGE:29	PO:46	OV:66
Tyler Boucher (R)	AGE:20	PO:88	OV:63

Défense #1

Défense #2

Gardien

Erik Karlsson	AGE:33	PO:30	OV:76
Jakub Kindl	AGE:36	PO:41	OV:74
Zachary Jones	AGE:22	PO:61	OV:73
Jesper Lindgren	AGE:27	PO:51	OV:71
Keaton Ellerby	AGE:36	PO:26	OV:71
Roman Josi	AGE:33	PO:23	OV:71
Owen Power (R)	AGE:20	PO:90	OV:70
Olli Juolevi	AGE:25	PO:71	OV:70
Josh Brook	AGE:24	PO:65	OV:70

Carson Lambos (R)	AGE:20	PO:77	OV:69
Marco Scandella	AGE:33	PO:27	OV:68
Jacob Moverare (R)	AGE:24	PO:60	OV:67
Tanner Molendyk (R)	AGE:18	PO:81	OV:66
Scott Morrow (R)	AGE:20	PO:74	OV:65
Artyom Duba (R)	AGE:19	PO:77	OV:64
Timothy Lijegren (R)	AGE:24	PO:69	OV:64
Santeri Airola (R)	AGE:23	PO:54	OV:62

Thomas McCollum	AGE:35	PO:42	OV:76
Tyler Parsons (R)	AGE:25	PO:71	OV:70
Jaroslav Halak	AGE:38	PO:31	OV:65
Jeremy Swayman	AGE:24	PO:64	OV:64
Maxim Mayorov (R)	AGE:19	PO:69	OV:58

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
Callum Ritchie	Philadelphia Flyers	2023	56
Gavin Brindley	Philadelphia Flyers	2023	55
Koehn Ziemmer	Philadelphia Flyers	2023	84
Matthew Savoie	Philadelphia Flyers	2022	11
Nathan Gaucher	Philadelphia Flyers	2022	38
Roman Kantserov	Philadelphia Flyers	2023	77

Choix au repêchage

Année	R1	R2	R3
2024	PHI OTT	PHI STL OTT DET
2025	PHI	PHI
2026	PHI NYR	PHI	PHI
2027	PHI	PHI	PHI
2028	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

[2024-03-30 22:48:21] - TRADE : From Philadelphia Flyers to Montreal Canadiens : Simon Edvinsson (69), Jack Johnson (74), Y:2026-RND:3-BUF.
[2024-03-30 22:48:21] - TRADE : From Montreal Canadiens to Philadelphia Flyers : Josh Brook (70), Morgan Klimchuk (69), Y:2024-RND:2-DET.
[2024-03-22 22:27:32] - Santeri Airola signed with Philadelphia Flyers for $500,001 for 3 year(s) / Option : No Trade.
[2024-03-22 22:27:32] - Santeri Airola was added to Philadelphia Flyers.
[2024-03-22 22:27:08] - Rocco Grimaldi signed with Philadelphia Flyers for $500,001 for 2 year(s) / Option : No Trade.
[2024-03-22 22:27:08] - Rocco Grimaldi was added to Philadelphia Flyers.
[2024-03-22 22:26:36] - Adam Tambellini signed with Philadelphia Flyers for $500,001 for 2 year(s) / Option : No Trade.
[2024-03-22 22:26:36] - Adam Tambellini was added to Philadelphia Flyers.
[2024-02-24 15:59:12] - General Manager Change : Philadelphia Flyers hired general manager Interim
[2024-02-24 15:59:12] - General Manager Change : Philadelphia Flyers fired general manager Alex Dion
[2024-02-20 22:29:29] - New Record for Team's Most Shots Blocked (27) in 1 Game for Philadelphia Flyers!
[2024-01-13 23:10:43] - TRADE : From Philadelphia Flyers to Carolina Hurricanes : $250,000 (Salary Cap Year 1).
[2024-01-13 23:10:43] - TRADE : From Carolina Hurricanes to Philadelphia Flyers : Scott Kosmachuk (70).
[2023-08-31 13:21:16] - TRADE : From Philadelphia Flyers to Buffalo Sabres : Gabriel Carlsson (66).
[2023-08-31 13:21:16] - TRADE : From Buffalo Sabres to Philadelphia Flyers : Y:2026-RND:3-BUF.
[2023-08-31 13:17:49] - TRADE : From Philadelphia Flyers to New York Rangers : Pierre-Olivier Joseph (70).
[2023-08-31 13:17:49] - TRADE : From New York Rangers to Philadelphia Flyers : Y:2026-RND:1-NYR.
[2023-08-19 18:32:16] - Ryan McAllister was added to Philadelphia Flyers.
[2023-08-19 18:31:21] - Tanner Molendyk was added to Philadelphia Flyers.
[2023-08-19 17:40:17] - Philadelphia Flyers drafts Koehn Ziemmer as the #84 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:39:35] - Philadelphia Flyers drafts Roman Kantserov as the #77 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:35:07] - Philadelphia Flyers drafts Callum Ritchie as the #56 overall pick in the Entry Draft of year 2023.
[2023-08-19 17:35:02] - Philadelphia Flyers drafts Gavin Brindley as the #55 overall pick in the Entry Draft of year 2023.

[2024-05-15 20:00:04] Owen Power from Lehigh Valley Phantoms is back from Exhaustion.
[2024-05-15 20:00:04] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-05-15 19:56:32] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-05-14 22:39:43] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-05-14 22:39:42] Owen Power from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-05-14 22:29:29] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-05-13 19:27:10] Carson Lambos from Lehigh Valley Phantoms is back from Exhaustion.
[2024-05-13 19:27:10] Owen Power from Lehigh Valley Phantoms is back from Exhaustion.
[2024-05-13 19:27:10] Philadelphia Flyers lines for next game are empty. Current rosters/lines are not erased.
[2024-05-13 19:11:00] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-05-12 20:21:22] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-05-12 20:21:21] Carson Lambos from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-05-12 20:21:21] Owen Power from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-05-12 20:21:21] Farm Game #2 - Mike Brown from Lehigh Valley Phantoms has scored a Hat Trick!
[2024-05-11 22:33:57] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-05-09 19:31:30] Both Philadelphia Flyers and Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-05-09 19:23:08] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-05-08 19:00:17] Last 7 Days Farm Star : 1 - Joshua Roy of Laval Rocket (4-3-7) / 2 - Mike Brown of Lehigh Valley Phantoms (3-5-8) / 3 - Dan DaSilva of Abbotsford's Canucks (4-1-5)
[2024-05-06 18:19:05] Carson Lambos from Lehigh Valley Phantoms is back from Exhaustion.
[2024-05-06 18:19:05] Owen Power from Lehigh Valley Phantoms is back from Exhaustion.
[2024-05-06 18:19:05] Both Philadelphia Flyers and Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2024-05-06 18:06:56] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-05-05 22:00:50] Auto Lines Partial Function has been run for Lehigh Valley Phantoms.
[2024-05-05 22:00:08] Zachary Bolduc of Philadelphia Flyers was sent down to farm.
[2024-05-05 22:00:06] Mike Brown of Philadelphia Flyers was sent down to farm.
[2024-05-05 22:00:03] Jaroslav Halak of Philadelphia Flyers was sent to farm.
[2024-05-05 21:59:48] Philadelphia Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-05-05 21:59:45] Maximum Pro Players Limit Reached for Philadelphia Flyers!
[2024-05-05 21:58:12] Philadelphia Flyers roster errors : Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2024-05-05 21:58:12] Auto Roster Partial Function has been run for Philadelphia Flyers.
[2024-05-05 21:58:12] Jaroslav Halak of Philadelphia Flyers was sent to pro.
[2024-05-05 21:58:12] Zachary Bolduc of Philadelphia Flyers was sent to pro.
[2024-05-05 21:58:12] Mike Brown of Philadelphia Flyers was sent to pro.
[2024-05-05 21:58:12] Lehigh Valley Phantoms roster errors : Not enough Defenseman available in Farm Team! 4 Dressed. 5 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2024-05-04 20:47:55] Carson Lambos from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-05-04 20:47:55] Owen Power from Lehigh Valley Phantoms is injured from Exhaustion.
[2024-05-04 20:46:29] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-05-03 21:29:38] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-05-02 20:02:55] Carson Lambos from Lehigh Valley Phantoms is back from Exhaustion.
[2024-05-02 20:02:55] Owen Power from Lehigh Valley Phantoms is back from Exhaustion.
[2024-05-02 20:02:55] Pro Game #1100 - Scott Kosmachuk from Philadelphia Flyers has scored a Hat Trick!
[2024-05-02 19:56:17] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.4.0.0
[2024-05-01 18:40:39] Morgan Klimchuk from Lehigh Valley Phantoms is back from Exhaustion.
[2024-04-30 23:28:00] Joshua Bailey from Lehigh Valley Phantoms is back from Exhaustion.
[2024-04-30 13:34:13] Auto Lines Function has been run for Lehigh Valley Phantoms.
[2024-04-30 13:34:03] Auto Lines Partial Function has been run for Lehigh Valley Phantoms.
[2024-04-30 13:33:54] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2024-04-30 13:33:37] Zachary Bolduc of Philadelphia Flyers was sent down to farm.
[2024-04-30 13:33:35] Mike Brown of Philadelphia Flyers was sent down to farm.
[2024-04-30 13:33:33] Jaroslav Halak of Philadelphia Flyers was sent to farm.

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: 2 \| W: 2 \| L: 0 GF: 10 \| GA: 8 \| PP%: 20.00% \| PK%: 83.33% DG: Interim \| Morale : 99 \| Moyenne d’équipe : 72 #21 vs Toronto Maple Leafs