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

Centre de jeu
	Philadelphia Flyers 44-26-6, 94pts	2	Sommaire du match	1	Dallas Stars 38-28-8, 84pts

Team Stats
L1	Séquence	SOL1
21-16-2	Fiche domicile	18-14-7
23-10-4	Fiche visiteur	20-14-1
5-5-0	Derniers 10 matchs	5-3-2
2.99	Buts par match	2.96
2.54	Buts contre par match	3.05
20.00%	Pourcentage en avantage numérique	19.49%
80.20%	Pourcentage en désavantage numérique	80.36%

Detroit Red Wings
33-32-14, 80pts

Sommaire du match

Philadelphia Flyers
44-26-6, 94pts

Team Stats
W4	Séquence	L1
15-16-7	Fiche domicile	21-16-2
18-16-7	Fiche visiteur	23-10-4
5-4-1	Derniers 10 matchs	5-5-0
2.96	Buts par match	2.99
3.44	Buts contre par match	2.54
22.11%	Pourcentage en avantage numérique	20.00%
77.02%	Pourcentage en désavantage numérique	80.20%

Boston Bruins
29-37-12, 70pts

Jour 192

Philadelphia Flyers
44-26-6, 94pts

Statistiques d’équipe
W1	Séquence	L1
14-18-6	Fiche domicile	21-16-2
15-19-6	Fiche visiteur	23-10-4
5-4-1	10 derniers matchs	5-5-0
2.68	Buts par match	2.99
3.46	Buts contre par match	2.99
20.81%	Pourcentage en avantage numérique	20.00%
74.64%	Pourcentage en désavantage numérique	80.20%

Ottawa Senateurs
38-30-7, 83pts

Jour 197

Philadelphia Flyers
44-26-6, 94pts

Statistiques d’équipe
L4	Séquence	L1
22-16-1	Fiche domicile	21-16-2
16-14-6	Fiche visiteur	23-10-4
5-5-0	10 derniers matchs	5-5-0
3.07	Buts par match	2.99
2.89	Buts contre par match	2.99
19.23%	Pourcentage en avantage numérique	20.00%
83.92%	Pourcentage en désavantage numérique	80.20%

Philadelphia Flyers
44-26-6, 94pts

Jour 199

Ottawa Senateurs
38-30-7, 83pts

Statistiques d’équipe
L1	Séquence	L4
21-16-2	Fiche domicile	22-16-1
23-10-4	Fiche visiteur	16-14-6
5-5-0	10 derniers matchs	5-5-0
2.99	Buts par match	3.07
2.54	Buts contre par match	3.07
20.00%	Pourcentage en avantage numérique	19.23%
80.20%	Pourcentage en désavantage numérique	83.92%

Meneurs d'équipe
	Buts Nathan MacKinnon 38	Passes Quinn Hughes 55

	Points Nathan MacKinnon 84	Plus/Moins Quinn Hughes 20

	Victoires Andrei Vasilevskiy 32	Pourcentage d’arrêts Andrei Vasilevskiy 0.932

Statistiques d’équipe
Buts pour 227 2.99 GFG	Tirs pour 2493 32.80 Avg	Pourcentage en avantage numérique 20.0% 37 GF	Début de zone offensive 38.9%
Buts contre 193 2.54 GAA	Tirs contre 2528 33.26 Avg	Pourcentage en désavantage numérique 80.2%% 40 GA	Début de la zone défensive 38.8%

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	17,624
	Billets de saison	7,815
Informations de la formation
	Équipe Pro	24
	Équipe Mineure	28
	Limite contact	52 / 72
	Espoirs	29
Plafond salarial
	Cap Salarial de la Saison estimé	101,897,870$
	Plafond salarial disponible	3,102,130$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	24
Finance
	Revenu annuel à ce jour	88,608,974$
	Dépenses annuelles à ce jour	94,028,273$
	Revenus de la saison estimés	9,088,100$
	Dépenses de la saison estimées	10,964,079$
	Compte bancaire actuel	75,527,524$
	Compte bancaire projeté	73,740,470$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Ivan Barbashev	0		X	X		97.00	79	49	86	79	80	87	89	85	52	79	79	72	81	82	72	1	50	75	0	30	4	5,000,000$
2	Nic Dowd	0	X				100.00	80	47	70	82	76	86	89	76	74	72	74	84	77	84	74	1	50	74	0	35	1	3,000,000$
3	Morgan Frost	0	X				100.00	73	42	87	81	78	86	85	83	75	78	75	73	80	73	63	1	50	74	0	26	4	4,375,000$
4	Matthew Knies	0		X	X		100.00	77	54	73	78	91	87	77	84	40	77	80	72	80	59	50	1	50	73	0	23	9	7,750,000$
5	Garnet Hathaway	0		X	X		100.00	89	68	63	75	83	83	88	75	52	71	70	76	74	84	74	1	50	72	0	34	1	2,400,000$
6	Dylan Holloway	0	X	X	X		99.00	79	46	84	82	86	85	75	81	59	75	76	72	80	59	50	1	50	72	0	24	2	2,290,457$
7	Noah Cates	0	X	X			100.00	74	41	93	82	80	86	81	80	69	76	73	76	78	63	53	1	50	72	0	27	3	4,000,000$
8	Morgan Barron	0	X				100.00	82	43	89	75	89	81	84	75	72	68	70	78	73	68	58	1	50	71	0	27	3	1,850,000$
9	Joe Veleno	0	X	X	X		100.00	80	46	88	75	82	83	84	75	72	71	70	72	74	68	58	1	50	70	0	26	3	900,000$
10	Cameron Hebig	0	X				99.00	58	43	68	66	61	69	68	65	61	61	60	60	64	57	50	1	50	60	0	29	2	775,000$
11	Jimmy Snuggerud (R)	0			X		99.00	56	40	69	69	72	76	59	64	40	61	61	61	64	51	50	1	50	60	0	21	2	950,000$
12	Adam Sykora	0		X	X		100.00	60	40	70	63	60	59	58	62	42	60	56	56	60	50	50	1	50	57	0	21	3	806,666$
13	Quinn Hughes (A)	0				X	99.51	63	50	77	92	74	91	85	93	40	92	83	76	89	76	78	1	50	78	0	26	6	7,850,000$
14	Miro Heiskanen	0				X	100.00	65	41	82	80	82	92	84	82	40	81	71	78	78	76	72	1	50	75	0	26	10	8,450,000$
15	Nicolas Hague	0				X	100.00	74	69	72	72	94	86	84	76	40	69	67	78	72	73	63	1	50	73	0	27	2	5,500,000$
16	Kevin Bahl	0				X	100.00	75	58	71	74	92	90	83	75	40	73	65	82	71	68	58	1	50	73	0	25	2	5,350,000$
17	J.J. Moser	0				X	100.00	68	46	79	85	76	89	79	74	40	74	66	83	75	63	53	1	50	73	0	25	5	3,375,000$
18	Wyatt Kaiser	0				X	100.00	66	42	84	83	76	86	73	71	40	65	65	75	73	59	50	1	50	69	0	23	3	1,700,000$
Rayé
1	Nathan MacKinnon (C)	0	X				HO	68	50	73	87	79	92	92	97	73	98	91	73	92	87	83	1	50	82	0	30	4	12,600,000$
2	Tomas Hertl (A)	0	X	X			92.38	74	43	86	76	85	88	90	86	87	79	84	74	82	87	77	1	50	77	0	32	2	8,137,000$
3	J.J. Peterka	0		X	X		91.63	67	41	78	86	80	87	82	88	50	81	83	68	85	63	53	1	50	75	0	24	5	7,700,000$
Équipe Mineure
1	Mackenzie MacEachern	0		X	X		98.00	60	43	66	64	63	68	67	61	42	61	55	62	60	65	55	1	50	58	0	32	2	775,000$
2	Danila Klimovich	0	X		X		97.00	66	44	65	65	67	62	60	62	43	56	59	61	62	50	50	1	50	57	0	23	2	855,833$
3	Francesco Arcuri (R)	0	X				99.00	60	40	70	65	65	60	60	60	70	60	55	60	60	50	50	1	50	56	0	22	2	825,000$
4	Nate Danielson (R)	0	X				99.00	62	42	65	62	62	60	58	62	55	62	57	60	61	50	50	1	50	56	0	21	2	918,333$
5	Jean-Luc Foudy	0	X		X		99.00	59	42	71	66	60	63	61	59	44	58	52	57	59	51	50	1	50	55	0	23	1	847,500$
6	Nicholas Lardis (R)	0		X	X		95.17	60	40	70	65	65	60	60	40	60	60	55	60	60	50	50	1	50	54	0	20	4	865,000$
7	Massimo Rizzo	0	X				100.00	57	41	68	62	58	62	61	58	41	57	55	57	58	51	50	1	50	54	0	24	2	925,000$
8	Danil Zhilkin (R)	0	X				100.00	59	41	71	60	65	61	59	58	53	53	53	51	57	50	50	1	50	53	0	22	4	831,667$
9	Julian Lutz (R)	0	X	X	X		100.00	60	41	68	58	63	61	59	57	41	57	54	54	57	50	50	1	50	53	0	22	2	750,000$
10	Michael Brandsegg-Nygård (R)	0		X	X		99.00	60	40	70	60	50	50	60	50	50	50	50	65	50	50	50	1	50	52	0	20	2	975,000$
11	Declan Carlile	0				X	98.00	63	44	66	69	63	66	65	63	40	58	57	68	63	53	50	1	50	60	0	25	4	775,000$
12	Ryan Ufko (R)	0				X	100.00	59	41	69	67	60	63	62	62	40	61	59	64	63	50	50	1	40	58	0	22	4	925,000$
13	Corson Ceulemans	0				X	99.00	62	42	70	65	66	60	58	59	40	52	53	63	59	50	50	1	50	57	0	22	2	925,000$
14	Sean Behrens (R)	0				X	100.00	60	40	70	65	60	60	60	60	40	60	55	60	60	50	50	1	50	56	0	23	3	905,833$
15	Ronan Seeley	0				X	100.00	58	40	74	65	65	63	61	62	40	55	54	57	60	50	50	1	50	56	0	23	2	813,750$
16	Simon Lundmark	0				X	100.00	57	42	71	62	65	65	64	61	40	56	55	55	60	52	50	1	50	55	0	25	2	775,000$
17	Tanner Molendyk (R)	0				X	100.00	60	40	70	60	50	50	60	50	20	50	50	65	50	50	50	1	50	54	0	21	3	886,666$
18	Frank Nazar (R)	0		X	X		95.00	60	40	76	78	76	84	68	72	60	68	68	67	73	55	50	1	50	65	0	22	4	950,000$
19	John Hayden	0	X		X		94.00	70	54	60	67	81	74	72	65	50	59	61	65	64	74	64	1	50	62	0	31	2	775,000$
20	Miko Matikka (R)	0			X		100.00	60	40	67	59	62	59	57	55	40	54	53	54	56	50	50	1	50	53	0	22	2	870,000$
21	Lukas Svejkovsky	0	X		X		100.00	56	40	70	65	56	59	58	57	40	54	52	54	58	50	50	1	50	53	0	24	3	859,167$
22	Koehn Ziemmer (R)	0	X		X		100.00	60	40	70	60	50	50	60	50	60	50	50	65	50	50	50	1	50	52	0	21	2	845,833$
23	Gracyn Sawchyn (R)	0	X				100.00	60	40	70	60	50	50	60	50	60	50	50	60	50	50	50	1	50	51	0	21	3	846,666$
24	Scott Perunovich	0				X	100.00	59	42	82	76	71	82	72	68	40	69	62	70	69	62	53	1	50	65	0	27	3	775,000$
25	Leo Loof (R)	0				X	64.79	58	41	67	63	62	63	62	59	40	56	54	60	59	50	50	1	50	56	0	24	2	867,500$
26	Caden Price (R)	0				X	100.00	60	40	70	60	50	50	60	50	20	50	50	65	50	50	50	1	50	54	0	20	3	835,556$

	MOYENNE D’ÉQUIPE						96.00	65	44	73	70	70	72	70	67	50	65	63	66	67	60	56	1	50	63

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Andrei Vasilevskiy	0	97.00	92	94	96	92	94	93	93	92	92	94	87	85	78	1	50	89	0	31	5	9,500,000$
2	Joseph Woll	0	96.00	84	82	83	82	86	85	84	85	84	84	79	62	56	1	50	79	0	27	3	3,660,000$
Rayé
1	Nico Daws	0	100.00	74	68	71	73	72	71	73	70	72	73	60	60	51	1	50	69	0	25	4	812,500$
Équipe Mineure
1	Devon Levi	0	98.00	77	69	72	68	73	75	75	76	76	74	67	58	50	1	50	69	0	24	3	812,500$
2	Damian Clara (R)	0	99.00	58	57	57	69	60	57	56	54	57	58	54	50	50	1	50	56	0	21	2	878,333$

	MOYENNE D’ÉQUIPE		98.00	77	74	76	77	77	76	76	75	76	77	69	63	57	1	50	72

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Martin St. Louis	86	80	83	76	77	70	1	CAN	50	1	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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nathan MacKinnon	Philadelphia Flyers	C	75	38	46	84	16	55	5	128	126	270	83	188	14.07%	28	1484	19.79	8	8	16	29	146	1	0	1	1	34	9	3	48.90%	1904	53	36	3	2	1.13	4	11	0	1	0	7	7	3
2	Quinn Hughes	Philadelphia Flyers	D	74	11	55	66	20	50	10	73	106	224	78	100	4.91%	92	1758	23.77	6	9	15	25	143	0	0	0	2	56	0	1	0%	0	71	58	0	0	0.75	1	4	0	0	2	3	4	3
3	J.J. Peterka	Philadelphia Flyers	LW/RW	66	20	37	57	-1	16	0	78	65	226	67	138	8.85%	20	1098	16.64	4	12	16	14	118	0	0	0	0	10	3	1	36.76%	68	72	15	0	0	1.04	1	4	0	0	0	4	3	1
4	Morgan Frost	Philadelphia Flyers	C	73	20	34	54	8	9	5	97	107	185	72	106	10.81%	23	1304	17.87	5	7	12	13	142	0	0	0	2	30	5	1	49.09%	1324	32	25	0	0	0.83	4	4	1	0	0	1	3	4
5	Ivan Barbashev	Philadelphia Flyers	LW/RW	76	23	29	52	17	9	5	124	70	208	75	117	11.06%	28	1486	19.56	3	4	7	13	150	0	0	0	2	45	6	1	40.24%	164	43	22	2	2	0.70	1	6	1	0	0	3	7	3
6	Matthew Knies	Philadelphia Flyers	LW/RW	76	21	29	50	11	39	5	126	76	209	60	113	10.05%	33	1347	17.73	2	7	9	17	146	0	0	0	0	0	1	4	27.71%	83	34	17	0	0	0.74	0	0	0	1	0	2	3	4
7	Tomas Hertl	Philadelphia Flyers	C/LW	73	14	31	45	16	6	0	103	68	164	50	116	8.54%	37	1401	19.20	3	7	10	14	143	0	1	1	2	49	0	0	52.94%	170	29	26	0	0	0.64	2	8	0	0	0	1	3	7
8	J.J. Moser	Philadelphia Flyers	D	76	6	27	33	0	14	0	75	118	111	41	32	5.41%	94	1734	22.82	2	7	9	6	153	0	0	0	2	135	0	1	0%	0	35	66	0	0	0.38	0	0	0	0	0	1	2	2
9	Nic Dowd	Philadelphia Flyers	C	80	10	20	30	-1	39	5	100	95	150	45	89	6.67%	33	1101	13.77	1	0	1	1	4	0	2	2	2	86	0	0	53.59%	933	26	14	0	0	0.54	0	0	0	1	0	1	0	1
10	Garnet Hathaway	Philadelphia Flyers	LW/RW	77	14	13	27	-10	42	0	130	48	108	38	79	12.96%	32	1025	13.31	4	3	7	11	85	0	0	0	0	45	3	1	38.64%	44	18	26	0	0	0.53	1	1	0	0	0	1	0	2
11	Dylan Holloway	Philadelphia Flyers	C/LW/RW	76	16	11	27	7	10	0	80	55	114	29	55	14.04%	19	928	12.22	1	1	2	3	15	0	0	0	0	5	2	5	39.44%	71	19	19	0	1	0.58	0	0	0	0	0	1	1	3
12	Noah Cates	Philadelphia Flyers	C/LW	76	12	15	27	5	2	0	57	68	182	41	78	6.59%	25	1001	13.18	0	1	1	2	19	0	0	0	2	125	3	2	46.43%	252	40	17	0	0	0.54	0	1	0	0	0	2	1	0
13	Miro Heiskanen	Philadelphia Flyers	D	74	7	18	25	6	33	5	63	124	86	37	47	8.14%	100	1805	24.40	1	3	4	5	142	0	0	0	3	113	1	0	0%	0	41	78	0	0	0.28	0	0	0	0	1	0	0	2
14	Nicolas Hague	Philadelphia Flyers	D	73	0	17	17	5	33	5	84	80	60	25	32	0%	85	1405	19.25	0	0	0	1	34	0	0	0	0	155	0	0	0%	0	14	52	0	0	0.24	0	0	0	0	1	0	0	2
15	Joe Veleno	Philadelphia Flyers	C/LW/RW	76	6	9	15	10	4	0	35	38	89	38	59	6.74%	9	664	8.74	0	1	1	0	5	1	0	1	2	40	0	0	47.50%	160	21	9	0	0	0.45	0	0	0	0	0	0	1	0
16	Morgan Barron	Philadelphia Flyers	C	76	10	5	15	3	14	0	68	60	75	23	46	13.33%	17	786	10.35	0	0	0	0	1	0	0	0	1	125	3	0	44.62%	437	8	14	0	0	0.38	0	0	0	0	0	1	1	1
17	Kevin Bahl	Philadelphia Flyers	D	76	2	10	12	19	57	5	99	106	80	29	31	2.50%	99	1648	21.69	1	1	2	5	94	0	0	0	0	146	1	0	0%	0	13	48	0	0	0.15	0	0	0	0	1	1	0	0
18	Wyatt Kaiser	Philadelphia Flyers	D	47	0	6	6	-2	9	5	14	41	18	19	17	0%	33	657	13.98	0	0	0	1	21	0	0	0	0	43	0	0	0%	0	2	17	0	0	0.18	0	0	0	1	0	0	0	0
19	Scott Perunovich	Lehigh Valley Phantoms (PHI)	D	9	0	1	1	1	2	0	4	6	5	0	0	0%	5	99	11.05	0	0	0	0	0	0	0	0	0	4	0	0	0%	0	0	3	0	0	0.20	0	0	0	0	0	0	0	0
20	Cameron Hebig	Philadelphia Flyers	C	1	0	0	0	0	0	0	0	1	1	0	2	0%	0	6	6.92	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	2	0	0	0	0	0	0	0	0	0	0	0	0	0
21	Mackenzie MacEachern	Lehigh Valley Phantoms (PHI)	LW/RW	3	0	0	0	-3	0	0	2	0	0	0	0	0%	0	20	6.79	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	0	0	0	0	0	0	0	0	0	0	0	0
22	Jimmy Snuggerud	Philadelphia Flyers	RW	1	0	0	0	0	0	0	1	0	1	0	1	0%	0	7	7.27	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
23	Adam Sykora	Philadelphia Flyers	LW/RW	1	0	0	0	0	2	0	2	0	0	1	0	0%	0	9	9.05	0	0	0	0	0	0	0	0	0	1	0	0	0%	2	0	0	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1335	230	413	643	127	445	55	1543	1458	2566	851	1446	8.96%	812	22782	17.07	41	71	112	160	1571	2	3	5	21	1254	37	20	48.44%	5615	571	562	5	5	0.56	14	39	2	4	5	29	36	38

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Andrei Vasilevskiy	Philadelphia Flyers	50	32	12	6	0.932	2.20	2977	2	1	109	1593	680	3	1	0.679	28	49	27	10	8	3
2	Joseph Woll	Philadelphia Flyers	24	12	12	0	0.920	2.78	1445	4	0	67	838	412	2	2	0.600	5	24	41	3	1	2
3	Nico Daws	Philadelphia Flyers	4	0	2	0	0.904	2.92	185	0	0	9	94	49	0	0	0	0	3	8	0	0	0
Statistiques d’équipe totales ou en moyenne			78	44	26	6	0.927	2.41	4608	6	1	185	2525	1141	5	3		33	76	76	13	9	5

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 Sykora	Philadelphia Flyers	LW/RW	21	2004-09-07	SLV	No	179 Lbs	5 ft10	No	No	N/A		No	Yes	3	2025-09-18	False	False	Pro & Farm	806,666$	101,302$	806,666$	101,302$	No	806,666$	806,666$	-	-	-	-	-	-	-	806,666$	806,666$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Andrei Vasilevskiy	Philadelphia Flyers	G	31	1994-07-25	RUS	No	228 Lbs	6 ft4	No	No	N/A		No	Yes	5		False	False	Pro & Farm	9,500,000$	1,193,023$	9,500,000$	1,193,023$	No	9,500,000$	9,500,000$	9,500,000$	9,500,000$	-	-	-	-	-	9,500,000$	9,500,000$	9,500,000$	9,500,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Cameron Hebig	Philadelphia Flyers	C	29	1997-01-21	CAN	No	185 Lbs	6 ft0	No	No	Free Agent		No	Yes	2	2025-09-18	False	False	Pro & Farm	775,000$	97,326$	775,000$	97,326$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Dylan Holloway	Philadelphia Flyers	C/LW/RW	24	2001-09-23	CAN	No	206 Lbs	6 ft1	No	No	N/A		No	Yes	2	2025-03-13	False	False	Pro & Farm	2,290,457$	287,639$	2,290,457$	287,639$	No	2,290,457$	-	-	-	-	-	-	-	-	2,290,457$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Garnet Hathaway	Philadelphia Flyers	LW/RW	34	1991-11-23	USA	No	212 Lbs	6 ft2	No	No	Trade	2026-04-01	No	Yes	1		False	False	Pro & Farm	2,400,000$	301,395$	2,400,000$	301,395$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ivan Barbashev	Philadelphia Flyers	LW/RW	30	1995-12-14	RUS	No	203 Lbs	6 ft0	No	No	N/A		No	Yes	4	2026-04-01	False	False	Pro & Farm	5,000,000$	627,907$	5,000,000$	627,907$	No	5,000,000$	5,000,000$	5,000,000$	-	-	-	-	-	-	5,000,000$	5,000,000$	5,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
J.J. Moser	Philadelphia Flyers	D	25	2000-06-06	CHE	No	181 Lbs	6 ft2	No	No	Trade	2026-02-18	No	Yes	5	2025-06-16	False	False	Pro & Farm	3,375,000$	423,837$	3,375,000$	423,837$	No	3,375,000$	3,375,000$	3,375,000$	3,375,000$	-	-	-	-	-	3,375,000$	3,375,000$	3,375,000$	3,375,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
J.J. Peterka	Philadelphia Flyers	LW/RW	24	2002-01-14	DEU	No	189 Lbs	6 ft0	No	No	Trade	2026-02-18	No	Yes	5	2025-06-27	False	False	Pro & Farm	7,700,000$	966,977$	7,700,000$	966,977$	No	7,700,000$	7,700,000$	7,700,000$	7,700,000$	-	-	-	-	-	7,700,000$	7,700,000$	7,700,000$	7,700,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-
Jimmy Snuggerud	Philadelphia Flyers	RW	21	2004-06-01	USA	Yes	186 Lbs	6 ft1	No	No	Prospect		No	Yes	2	2025-04-03	False	False	Pro & Farm	950,000$	119,302$	950,000$	119,302$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Joe Veleno	Philadelphia Flyers	C/LW/RW	26	2000-01-13	CAN	No	201 Lbs	6 ft1	No	No	N/A		No	Yes	3	2026-04-01	False	False	Pro & Farm	900,000$	113,023$	900,000$	113,023$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Joseph Woll	Philadelphia Flyers	G	27	1998-07-12	USA	No	206 Lbs	6 ft3	No	No	N/A		No	Yes	3	2025-06-16	False	False	Pro & Farm	3,660,000$	459,628$	3,660,000$	459,628$	No	3,660,000$	3,660,000$	-	-	-	-	-	-	-	3,660,000$	3,660,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Kevin Bahl	Philadelphia Flyers	D	25	2000-06-27	CAN	No	230 Lbs	6 ft6	No	No	N/A		No	Yes	2	2025-06-28	False	False	Pro Only	5,350,000$	671,860$	5,350,000$	671,860$	No	5,350,000$	-	-	-	-	-	-	-	-	5,350,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Matthew Knies	Philadelphia Flyers	LW/RW	23	2002-10-17	USA	No	227 Lbs	6 ft3	No	No	N/A		No	Yes	9	2025-06-29	False	False	Pro & Farm	7,750,000$	973,256$	7,750,000$	973,256$	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$	7,750,000$	7,750,000$	-	No	No	No	No	No	No	No	No	-
Miro Heiskanen	Philadelphia Flyers	D	26	1999-07-18	FIN	No	197 Lbs	6 ft2	No	No	Trade	2024-09-12	No	Yes	10	2026-04-01	False	False	Pro & Farm	8,450,000$	1,061,163$	8,450,000$	1,061,163$	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$	8,450,000$	8,450,000$	No	No	No	No	No	No	No	No	No
Morgan Barron (contrat à 1 volet)	Philadelphia Flyers	C	27	1998-12-02	CAN	No	220 Lbs	6 ft4	No	No	Trade	2024-10-14	No	Yes	3	2025-07-18	False	False	Pro Only	1,850,000$	232,326$	1,850,000$	232,326$	No	1,850,000$	1,850,000$	-	-	-	-	-	-	-	1,850,000$	1,850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Morgan Frost	Philadelphia Flyers	C	26	1999-05-14	CAN	No	193 Lbs	6 ft0	No	No	N/A		No	Yes	4	2026-04-01	False	False	Pro & Farm	4,375,000$	549,419$	4,375,000$	549,419$	No	4,375,000$	4,375,000$	4,375,000$	-	-	-	-	-	-	4,375,000$	4,375,000$	4,375,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Nathan MacKinnon (sur la masse salariale)	Philadelphia Flyers	C	30	1995-09-01	CAN	No	200 Lbs	6 ft0	No	No	N/A		No	Yes	4	2026-04-01	False	False	Pro & Farm	12,600,000$	1,582,326$	12,600,000$	1,582,326$	No	12,600,000$	12,600,000$	12,600,000$	-	-	-	-	-	-	12,600,000$	12,600,000$	12,600,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Nic Dowd	Philadelphia Flyers	C	35	1990-05-27	USA	No	190 Lbs	6 ft2	No	No	Trade	2026-03-31	No	Yes	1	2025-06-16	False	False	Pro & Farm	3,000,000$	376,744$	3,000,000$	376,744$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nico Daws	Philadelphia Flyers	G	25	2000-12-22	CAN	No	205 Lbs	6 ft4	No	No	Trade	2025-10-15	No	Yes	4	2026-04-01	False	False	Pro Only	812,500$	102,035$	812,500$	102,035$	No	812,500$	812,500$	812,500$	-	-	-	-	-	-	812,500$	812,500$	812,500$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Nicolas Hague	Philadelphia Flyers	D	27	1998-12-05	CAN	No	245 Lbs	6 ft6	No	No	Trade	2025-03-08	No	Yes	2	2025-06-30	False	False	Pro & Farm	5,500,000$	690,698$	5,500,000$	690,698$	No	5,500,000$	-	-	-	-	-	-	-	-	5,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Noah Cates	Philadelphia Flyers	C/LW	27	1999-02-05	USA	No	194 Lbs	6 ft2	No	No	N/A		No	Yes	3	2025-06-20	False	False	Pro & Farm	4,000,000$	502,326$	4,000,000$	502,326$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	4,000,000$	4,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Quinn Hughes	Philadelphia Flyers	D	26	1999-10-14	USA	No	180 Lbs	5 ft10	No	No	N/A		No	Yes	6		False	False	Pro & Farm	7,850,000$	985,814$	7,850,000$	985,814$	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$	7,850,000$	7,850,000$	-	-	-	-	No	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	2		False	False	Pro & Farm	8,137,000$	1,021,856$	8,137,000$	1,021,856$	No	8,137,000$	-	-	-	-	-	-	-	-	8,137,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Wyatt Kaiser	Philadelphia Flyers	D	23	2002-07-31	USA	No	173 Lbs	6 ft0	No	No	N/A		No	Yes	3	2026-04-01	False	False	Pro & Farm	1,700,000$	213,488$	1,700,000$	213,488$	No	1,700,000$	1,700,000$	-	-	-	-	-	-	-	1,700,000$	1,700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
24	26.83	202 Lbs	6 ft2	3.67	4,530,484$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
108,731,623$	103,331,623$	80,329,166$	67,412,500$	44,625,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Matthew Knies	Morgan Frost	Ivan Barbashev	35	1	2	2
2	Noah Cates	Nic Dowd	Dylan Holloway	35	1	2	2
3	Garnet Hathaway	Morgan Barron	Joe Veleno	20	1	2	2
4	Adam Sykora	Cameron Hebig	Jimmy Snuggerud	10	1	2	2

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

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Matthew Knies	Morgan Frost	Ivan Barbashev	50	1	2	2
2	Noah Cates	Nic Dowd	Dylan Holloway	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	J.J. Moser	Nicolas Hague	50	1	2	2
2	Wyatt Kaiser	Kevin Bahl	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Morgan Barron	Garnet Hathaway	50	1	2	2
2	Joe Veleno	Adam Sykora	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	J.J. Moser	Nicolas Hague	50	1	2	2
2	Wyatt Kaiser	Kevin Bahl	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Morgan Barron	50	1	2	2	Quinn Hughes	Miro Heiskanen	50	1	2	2
2	Nic Dowd	50	1	2	2	Nicolas Hague	Kevin Bahl	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Joe Veleno	Jimmy Snuggerud	50	1	2	2
2	Morgan Barron	Garnet Hathaway	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Miro Heiskanen	50	1	2	2
2	Nicolas Hague	Kevin Bahl	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Ivan Barbashev	Nic Dowd	Dylan Holloway	Quinn Hughes	Miro Heiskanen

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Ivan Barbashev	Nic Dowd	Dylan Holloway	Quinn Hughes	Miro Heiskanen

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Dylan Holloway, Garnet Hathaway, Noah Cates	Dylan Holloway, Garnet Hathaway	Dylan Holloway

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Kevin Bahl, J.J. Moser, Wyatt Kaiser	Kevin Bahl	Kevin Bahl, J.J. Moser

Tirs de pénalité
Ivan Barbashev, Nic Dowd, Morgan Frost, Matthew Knies, Dylan Holloway

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

Lignes d’attaque personnalisées en prolongation
, , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim Ducks	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	8	13	21	0	0	2	4	2	0	74	31	20	23	0	69	14	15	39	7	1	14.29%	5	0	100.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	45	29	42	16	31	16
2	Boston Bruins	3	1	1	0	0	0	0	1	11	8	3	1	0	1	0	0	0	0	0	2	4	-2	2	1	0	0	0	0	0	1	9	4	5	3	0.500	11	22	33	0	0	3	3	5	1	96	33	32	31	5	94	33	20	62	8	1	12.50%	5	2	60.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	70	42	61	25	53	28
3	Buffalo Sabres	5	3	1	0	0	0	1	0	12	7	5	2	2	0	0	0	0	0	0	7	3	4	3	1	1	0	0	0	1	0	5	4	1	8	0.800	12	17	29	0	0	5	4	2	1	178	51	87	38	5	173	54	26	102	5	1	20.00%	13	3	76.92%	1	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	110	68	110	40	84	42
4	Carolina Hurricanes	4	1	2	0	0	0	1	0	8	10	-2	2	0	1	0	0	0	1	0	4	5	-1	2	1	1	0	0	0	0	0	4	5	-1	4	0.500	8	12	20	0	0	3	4	0	3	124	29	54	41	3	137	41	24	81	9	3	33.33%	12	2	83.33%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	85	51	88	35	70	35
5	Chicago Blackhawks	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	0	0	1	0	33	12	10	11	0	40	12	8	16	0	0	0%	4	1	75.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	21	13	21	8	16	7
6	Colorado Avalanche	2	2	0	0	0	0	0	0	13	5	8	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	7	2	5	4	1.000	13	23	36	0	0	3	6	4	0	65	21	21	23	0	60	20	10	43	4	1	25.00%	5	0	100.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	43	26	45	17	31	15
7	Dallas Stars	1	0	0	0	0	0	1	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	2	1	1	2	1.000	2	2	4	0	0	0	0	1	2	27	12	3	9	6	35	9	4	19	0	0	0%	2	0	100.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	18	9	25	10	21	10
8	Detroit Red Wings	4	2	2	0	0	0	0	0	14	13	1	2	1	1	0	0	0	0	0	8	9	-1	2	1	1	0	0	0	0	0	6	4	2	4	0.500	14	22	36	0	0	5	5	4	0	152	46	63	43	0	130	40	20	76	16	3	18.75%	10	4	60.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	95	60	78	32	66	34
9	Los Angeles Kings	3	1	2	0	0	0	0	0	6	10	-4	2	0	2	0	0	0	0	0	4	9	-5	1	1	0	0	0	0	0	0	2	1	1	2	0.333	6	12	18	0	0	0	3	3	0	81	23	41	17	0	120	29	33	51	6	0	0.00%	14	7	50.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	58	33	74	27	47	22
10	Minnesota Wild	3	1	2	0	0	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	1	3	-2	2	1	1	0	0	0	0	0	6	6	0	2	0.333	7	12	19	0	0	2	1	4	0	113	48	35	30	0	111	32	6	57	7	2	28.57%	3	0	100.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	69	43	62	24	48	24
11	Montreal Canadiens	4	3	1	0	0	0	0	0	14	9	5	3	2	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	7	1	6	6	0.750	14	25	39	0	0	2	5	7	0	152	41	50	61	0	119	40	42	71	15	2	13.33%	11	1	90.91%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	92	57	81	34	65	34
12	Nashville Predators	2	1	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	4	5	9	0	0	2	2	0	0	53	19	21	13	0	76	26	16	44	1	0	0.00%	8	0	100.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	38	21	47	18	34	16
13	NewYork Islanders	6	2	2	0	0	1	0	1	15	15	0	3	1	2	0	0	0	0	0	8	8	0	3	1	0	0	0	1	0	1	7	7	0	6	0.500	15	27	42	0	1	4	6	5	0	182	57	55	69	3	184	63	42	119	22	4	18.18%	16	4	75.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	132	81	136	51	96	49
14	NewYork Rangers	5	2	2	0	0	0	1	0	9	9	0	2	0	1	0	0	0	1	0	4	4	0	3	2	1	0	0	0	0	0	5	5	0	6	0.600	9	14	23	0	0	1	5	2	2	152	43	49	58	6	149	49	20	105	16	1	6.25%	10	1	90.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	108	61	103	47	92	46
15	Ottawa Senateurs	2	1	0	0	0	0	1	0	6	3	3	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	9	15	0	0	0	3	2	2	59	22	19	17	3	62	21	8	39	5	1	20.00%	4	1	75.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	45	25	43	18	36	18
16	Pittsburgh Penguins	5	3	2	0	0	0	0	0	17	17	0	3	1	2	0	0	0	0	0	8	10	-2	2	2	0	0	0	0	0	0	9	7	2	6	0.600	17	26	43	0	0	4	6	7	0	174	51	60	63	0	180	63	24	92	17	3	17.65%	12	4	66.67%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	109	64	109	41	80	41
17	SanJose Sharks	2	2	0	0	0	0	0	0	9	5	4	2	2	0	0	0	0	0	0	9	5	4	0	0	0	0	0	0	0	0	0	0	0	4	1.000	9	18	27	0	0	0	3	6	0	75	20	26	29	0	62	21	10	43	4	2	50.00%	5	1	80.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	47	30	38	16	33	16
18	Seattle Kraken	2	1	0	0	1	0	0	0	10	7	3	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	6	4	2	4	1.000	10	16	26	0	0	2	2	5	1	70	23	13	32	2	64	20	4	48	6	2	33.33%	2	0	100.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	43	25	42	17	34	17
19	St-Louis Blues	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	5	2	3	4	1.000	11	20	31	0	0	2	3	6	0	80	27	24	29	0	62	30	14	27	4	1	25.00%	7	1	85.71%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	46	29	42	16	31	14
20	Tampa Bay Lightning	3	1	1	0	1	0	0	0	7	6	1	2	1	0	0	1	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	4	-2	4	0.667	7	13	20	2	0	3	0	3	1	103	40	31	29	3	101	23	16	60	4	0	0.00%	8	1	87.50%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	66	41	61	27	52	23
21	Toronto Maple Leafs	4	2	2	0	0	0	0	0	13	11	2	2	0	2	0	0	0	0	0	5	7	-2	2	2	0	0	0	0	0	0	8	4	4	4	0.500	13	23	36	0	0	1	5	7	0	110	27	44	39	0	133	52	31	81	9	4	44.44%	13	1	92.31%	1	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	78	45	94	35	66	30
22	Vancouver Canucks	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	4	7	11	1	0	0	2	2	0	76	28	26	22	0	55	16	14	55	4	1	25.00%	7	1	85.71%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	46	29	39	18	34	15
23	Vegas Golden Knights	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	7	9	16	0	0	4	0	3	0	67	31	14	22	0	67	20	8	37	5	1	20.00%	4	1	75.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	46	28	40	15	32	16
24	Washington Capitals	5	0	2	0	0	0	1	2	11	15	-4	3	0	1	0	0	0	1	1	8	9	-1	2	0	1	0	0	0	0	1	3	6	-3	4	0.400	11	17	28	0	0	0	5	5	1	128	41	47	40	10	169	51	36	96	7	2	28.57%	18	4	77.78%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	102	57	124	45	88	41
25	Winnipeg Jets	2	1	0	0	0	0	0	1	8	7	1	1	0	0	0	0	0	0	1	4	5	-1	1	1	0	0	0	0	0	0	4	2	2	3	0.750	8	12	20	0	0	6	2	0	0	69	26	34	9	2	76	17	8	40	4	1	25.00%	4	0	100.00%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	45	27	42	18	37	18
	Total	76	36	26	0	2	1	6	5	227	193	34	39	15	16	0	2	0	4	2	114	111	3	37	21	10	0	0	1	2	3	113	82	31	94	0.618	227	378	605	3	1	54	79	86	14	2493	802	879	798	48	2528	796	459	1503	185	37	20.00%	202	40	80.20%	2	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	1669	1005	1659	659	1287	638
	_Since Last GM Reset	76	36	26	0	2	1	6	5	227	193	34	39	15	16	0	2	0	4	2	114	111	3	37	21	10	0	0	1	2	3	113	82	31	94	0.618	227	378	605	3	1	54	79	86	14	2493	802	879	798	48	2528	796	459	1503	185	37	20.00%	202	40	80.20%	2	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	1669	1005	1659	659	1287	638
	_Vs Conference	50	21	18	0	1	1	5	4	137	123	14	26	8	12	0	1	0	4	1	69	71	-2	24	13	6	0	0	1	1	3	68	52	16	59	0.590	137	227	364	2	1	31	51	49	11	1610	481	591	529	38	1631	530	309	984	133	25	18.80%	132	28	78.79%	2	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	1099	658	1094	433	852	426
	_Vs Division	25	8	10	0	0	1	3	3	60	66	-6	13	2	7	0	0	0	3	1	32	36	-4	12	6	3	0	0	1	0	2	28	30	-2	26	0.520	60	96	156	0	1	12	26	19	6	760	221	265	271	22	819	267	146	493	71	13	18.31%	68	15	77.94%	0	893	1883	47.42%	908	1880	48.30%	522	1080	48.33%	538	317	563	220	428	214

			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
76	94	L1	227	378	605	2493	2528	796	459	1503	3	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
76	36	26	2	1	6	5	227	193

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	15	16	2	0	4	2	114	111

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	21	10	0	1	2	3	113	82

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
3	5	1	0	1	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
185	37	20.00%	202	40	80.20%	2

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
802	879	798	48	54	79	86	14

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
893	1883	47.42%	908	1880	48.30%	522	1080	48.33%

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
1669	1005	1659	659	1287	638

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
1	3	Philadelphia Flyers	2	NewYork Islanders	3	L	X	X	Sommaire du match
4	15	Philadelphia Flyers	2	NewYork Rangers	1	W			Sommaire du match
6	25	Washington Capitals	2	Philadelphia Flyers	1	L			Sommaire du match
8	37	Philadelphia Flyers	2	Buffalo Sabres	1	W	X	X	Sommaire du match
10	49	NewYork Islanders	2	Philadelphia Flyers	1	L			Sommaire du match
13	65	Philadelphia Flyers	2	Carolina Hurricanes	1	W			Sommaire du match
15	75	Pittsburgh Penguins	1	Philadelphia Flyers	2	W			Sommaire du match
19	96	Montreal Canadiens	2	Philadelphia Flyers	3	W			Sommaire du match
23	115	Boston Bruins	4	Philadelphia Flyers	2	L			Sommaire du match
25	127	Philadelphia Flyers	2	Washington Capitals	3	L	X	X	Sommaire du match
27	140	SanJose Sharks	2	Philadelphia Flyers	4	W			Sommaire du match
29	152	Philadelphia Flyers	7	Montreal Canadiens	1	W			Sommaire du match
32	167	Carolina Hurricanes	3	Philadelphia Flyers	1	L			Sommaire du match
35	179	Philadelphia Flyers	2	NewYork Islanders	0	W			Sommaire du match
37	192	Buffalo Sabres	1	Philadelphia Flyers	4	W			Sommaire du match
41	210	Philadelphia Flyers	2	Boston Bruins	3	L	X	X	Sommaire du match
42	220	Washington Capitals	4	Philadelphia Flyers	5	W	X	X	Sommaire du match
46	239	Toronto Maple Leafs	3	Philadelphia Flyers	2	L			Sommaire du match
49	253	Philadelphia Flyers	2	Los Angeles Kings	1	W			Sommaire du match
51	266	Los Angeles Kings	5	Philadelphia Flyers	3	L			Sommaire du match
56	291	Colorado Avalanche	3	Philadelphia Flyers	6	W			Sommaire du match
60	314	Pittsburgh Penguins	2	Philadelphia Flyers	1	L			Sommaire du match
62	322	Philadelphia Flyers	5	Pittsburgh Penguins	4	W			Sommaire du match
65	336	Philadelphia Flyers	2	NewYork Rangers	1	W			Sommaire du match
67	343	Minnesota Wild	3	Philadelphia Flyers	1	L			Sommaire du match
71	365	Philadelphia Flyers	3	Ottawa Senateurs	1	W			Sommaire du match
72	372	Nashville Predators	2	Philadelphia Flyers	3	W			Sommaire du match
75	385	Philadelphia Flyers	7	Boston Bruins	1	W			Sommaire du match
77	396	Carolina Hurricanes	2	Philadelphia Flyers	3	W	X	X	Sommaire du match
79	407	Philadelphia Flyers	2	Detroit Red Wings	3	L			Sommaire du match
81	422	Washington Capitals	3	Philadelphia Flyers	2	L	X	X	Sommaire du match
83	435	Philadelphia Flyers	1	NewYork Rangers	3	L			Sommaire du match
86	449	Montreal Canadiens	1	Philadelphia Flyers	3	W			Sommaire du match
88	460	Philadelphia Flyers	1	Washington Capitals	3	L			Sommaire du match
90	469	Philadelphia Flyers	7	Colorado Avalanche	2	W			Sommaire du match
92	477	NewYork Rangers	2	Philadelphia Flyers	3	W	X	X	Sommaire du match
94	493	Philadelphia Flyers	4	Anaheim Ducks	1	W			Sommaire du match
96	503	Vancouver Canucks	3	Philadelphia Flyers	1	L			Sommaire du match
98	514	Philadelphia Flyers	3	Vancouver Canucks	4	L			Sommaire du match
100	525	Philadelphia Flyers	2	Tampa Bay Lightning	4	L			Sommaire du match
101	533	Toronto Maple Leafs	4	Philadelphia Flyers	3	L			Sommaire du match
105	555	SanJose Sharks	3	Philadelphia Flyers	5	W			Sommaire du match
107	562	Philadelphia Flyers	2	Minnesota Wild	4	L			Sommaire du match
110	574	Philadelphia Flyers	4	Vegas Golden Knights	1	W			Sommaire du match
112	584	Buffalo Sabres	2	Philadelphia Flyers	3	W			Sommaire du match
116	607	Anaheim Ducks	2	Philadelphia Flyers	4	W			Sommaire du match
120	630	NewYork Rangers	2	Philadelphia Flyers	1	L			Sommaire du match
125	651	Montreal Canadiens	5	Philadelphia Flyers	1	L			Sommaire du match
129	678	Ottawa Senateurs	2	Philadelphia Flyers	3	W	X	X	Sommaire du match
131	691	Philadelphia Flyers	3	Buffalo Sabres	1	W			Sommaire du match
133	703	NewYork Islanders	1	Philadelphia Flyers	4	W			Sommaire du match
135	713	Philadelphia Flyers	4	Pittsburgh Penguins	3	W			Sommaire du match
138	728	Philadelphia Flyers	6	Seattle Kraken	4	W			Sommaire du match
139	734	Winnipeg Jets	5	Philadelphia Flyers	4	L	X	X	Sommaire du match
142	754	Tampa Bay Lightning	1	Philadelphia Flyers	2	W	X		Sommaire du match
145	765	Philadelphia Flyers	3	NewYork Islanders	4	L	X		Sommaire du match
147	776	Philadelphia Flyers	0	Buffalo Sabres	2	L			Sommaire du match
149	785	NewYork Islanders	5	Philadelphia Flyers	3	L			Sommaire du match
152	806	Philadelphia Flyers	5	St-Louis Blues	2	W			Sommaire du match
153	810	Detroit Red Wings	5	Philadelphia Flyers	6	W			Sommaire du match
157	832	Philadelphia Flyers	4	Detroit Red Wings	1	W			Sommaire du match
158	837	St-Louis Blues	3	Philadelphia Flyers	6	W			Sommaire du match
162	859	Tampa Bay Lightning	1	Philadelphia Flyers	3	W			Sommaire du match
164	874	Philadelphia Flyers	1	Nashville Predators	4	L			Sommaire du match
167	887	Vegas Golden Knights	2	Philadelphia Flyers	3	W			Sommaire du match
169	895	Philadelphia Flyers	4	Winnipeg Jets	2	W			Sommaire du match
171	907	Philadelphia Flyers	5	Toronto Maple Leafs	3	W			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173	913	Seattle Kraken	3	Philadelphia Flyers	4	W	X		Sommaire du match
175	929	Philadelphia Flyers	4	Minnesota Wild	2	W			Sommaire du match
176	936	Philadelphia Flyers	1	Chicago Blackhawks	2	L			Sommaire du match
178	942	Pittsburgh Penguins	7	Philadelphia Flyers	5	L			Sommaire du match
181	962	Philadelphia Flyers	3	Toronto Maple Leafs	1	W			Sommaire du match
183	969	Los Angeles Kings	4	Philadelphia Flyers	1	L			Sommaire du match
185	981	Philadelphia Flyers	2	Carolina Hurricanes	4	L			Sommaire du match
187	992	Philadelphia Flyers	2	Dallas Stars	1	W	X	X	Sommaire du match
188	996	Detroit Red Wings	4	Philadelphia Flyers	2	L			Sommaire du match
192	1018	Boston Bruins	-	Philadelphia Flyers	-
197	1042	Ottawa Senateurs	-	Philadelphia Flyers	-
199	1051	Philadelphia Flyers	-	Ottawa Senateurs	-
200	1056	Philadelphia Flyers	-	Montreal Canadiens	-
203	1068	Chicago Blackhawks	-	Philadelphia Flyers	-
204	1072	Philadelphia Flyers	-	Tampa Bay Lightning	-
205	1073	Philadelphia Flyers	-	NewYork Islanders	-
209	1095	Dallas Stars	-	Philadelphia Flyers	-
210	1098	Philadelphia Flyers	-	SanJose Sharks	-
211	1103	Philadelphia Flyers	-	Carolina Hurricanes	-

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	237,263	189,113	74,835	148,888	37,242
Attendance PCT	80.72%	96.98%	95.94%	95.44%	95.49%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
4	17624 - 90.21%	2,272,025$	88,608,974$	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
94,028,273$	84,306,623$	84,306,623$	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
392,124$	91,310,522$	0$	24	1

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
9,088,100$	27	406,077$	10,964,079$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
11,457,963$	75,527,524$	73,740,470$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
101,897,870$	3,102,130$	105,000,000$	25,397,870$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Tomas Hertl	AGE:32	PO:1	OV:77
Ivan Barbashev	AGE:30	PO:1	OV:75
J.J. Peterka	AGE:24	PO:1	OV:75
Matthew Knies	AGE:23	PO:1	OV:73
Garnet Hathaway	AGE:34	PO:1	OV:72
Dylan Holloway	AGE:24	PO:1	OV:72
Noah Cates	AGE:27	PO:1	OV:72
Joe Veleno	AGE:26	PO:1	OV:70
Frank Nazar (R)	AGE:22	PO:1	OV:65
Mackenzie MacEachern	AGE:32	PO:1	OV:58
Adam Sykora	AGE:21	PO:1	OV:57
Nicholas Lardis (R)	AGE:20	PO:1	OV:54
Julian Lutz (R)	AGE:22	PO:1	OV:53
Michael Brandsegg-Nygård (R)	AGE:20	PO:1	OV:52

Nathan MacKinnon	AGE:30	PO:1	OV:82
Tomas Hertl	AGE:32	PO:1	OV:77
Nic Dowd	AGE:35	PO:1	OV:74
Morgan Frost	AGE:26	PO:1	OV:74
Dylan Holloway	AGE:24	PO:1	OV:72
Noah Cates	AGE:27	PO:1	OV:72
Morgan Barron	AGE:27	PO:1	OV:71
Joe Veleno	AGE:26	PO:1	OV:70
John Hayden	AGE:31	PO:1	OV:62
Cameron Hebig	AGE:29	PO:1	OV:60
Danila Klimovich	AGE:23	PO:1	OV:57
Francesco Arcuri (R)	AGE:22	PO:1	OV:56
Nate Danielson (R)	AGE:21	PO:1	OV:56
Jean-Luc Foudy	AGE:23	PO:1	OV:55
Massimo Rizzo	AGE:24	PO:1	OV:54
Danil Zhilkin (R)	AGE:22	PO:1	OV:53
Julian Lutz (R)	AGE:22	PO:1	OV:53
Lukas Svejkovsky	AGE:24	PO:1	OV:53
Koehn Ziemmer (R)	AGE:21	PO:1	OV:52
Gracyn Sawchyn (R)	AGE:21	PO:1	OV:51

Ivan Barbashev	AGE:30	PO:1	OV:75
J.J. Peterka	AGE:24	PO:1	OV:75
Matthew Knies	AGE:23	PO:1	OV:73
Garnet Hathaway	AGE:34	PO:1	OV:72
Dylan Holloway	AGE:24	PO:1	OV:72
Joe Veleno	AGE:26	PO:1	OV:70
Frank Nazar (R)	AGE:22	PO:1	OV:65
John Hayden	AGE:31	PO:1	OV:62
Jimmy Snuggerud (R)	AGE:21	PO:1	OV:60
Mackenzie MacEachern	AGE:32	PO:1	OV:58
Danila Klimovich	AGE:23	PO:1	OV:57
Adam Sykora	AGE:21	PO:1	OV:57
Jean-Luc Foudy	AGE:23	PO:1	OV:55
Nicholas Lardis (R)	AGE:20	PO:1	OV:54
Julian Lutz (R)	AGE:22	PO:1	OV:53
Miko Matikka (R)	AGE:22	PO:1	OV:53
Lukas Svejkovsky	AGE:24	PO:1	OV:53
Michael Brandsegg-Nygård (R)	AGE:20	PO:1	OV:52
Koehn Ziemmer (R)	AGE:21	PO:1	OV:52

Défense #1

Défense #2

Gardien

Quinn Hughes	AGE:26	PO:1	OV:78
Miro Heiskanen	AGE:26	PO:1	OV:75
Nicolas Hague	AGE:27	PO:1	OV:73
Kevin Bahl	AGE:25	PO:1	OV:73
J.J. Moser	AGE:25	PO:1	OV:73
Wyatt Kaiser	AGE:23	PO:1	OV:69
Scott Perunovich	AGE:27	PO:1	OV:65
Declan Carlile	AGE:25	PO:1	OV:60

Ryan Ufko (R)	AGE:22	PO:1	OV:58
Corson Ceulemans	AGE:22	PO:1	OV:57
Leo Loof (R)	AGE:24	PO:1	OV:56
Sean Behrens (R)	AGE:23	PO:1	OV:56
Ronan Seeley	AGE:23	PO:1	OV:56
Simon Lundmark	AGE:25	PO:1	OV:55
Caden Price (R)	AGE:20	PO:1	OV:54
Tanner Molendyk (R)	AGE:21	PO:1	OV:54

Andrei Vasilevskiy	AGE:31	PO:1	OV:89
Joseph Woll	AGE:27	PO:1	OV:79
Devon Levi	AGE:24	PO:1	OV:69
Nico Daws	AGE:25	PO:1	OV:69
Damian Clara (R)	AGE:21	PO:1	OV:56

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
Aiden Celebrini	Philadelphia Flyers	11	180
Ales Stezka	Philadelphia Flyers	0	0
Alexander Siryatsky	Philadelphia Flyers	12	185
Benjamin Strinden	Philadelphia Flyers	10	219
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
Jonathan Morello	Philadelphia Flyers	12	194
Jordan Fracsa	Philadelphia Flyers	0	0
Kirill Dolzhenkov	Philadelphia Flyers	10	113
Logan Sawyer	Philadelphia Flyers	12	106
Luke Coughlin	Philadelphia Flyers	11	167
Matthew Mania	Philadelphia Flyers	11	134
Nicholas Kempf	Philadelphia Flyers	12	125
Oiva Keskinen	Philadelphia Flyers	11	193
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
Tristen Robbins	Philadelphia Flyers	0	0
Tyler Brennan	Philadelphia Flyers	10	85
Visa Vedenpaa	Philadelphia Flyers	11	170
Zach Schulz	Philadelphia Flyers	11	153

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
14		TBL	PHI	PHI	PHI		PHI	PHI
15	PHI	PHI	PHI	PHI	PHI	PHI	PHI CHI	PHI CHI
16	PHI	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
Choix au repêchage conditionnel

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

Philadelphia Flyers Historique de transactions

[2026-04-02 23:50:07] New Record for Team's Most Shots (49) in 1 Game for Philadelphia Flyers!
[2026-04-01 23:02:55] TRADE : From Philadelphia Flyers to Chicago Blackhawks : Oskar Back (65), Luke Kunin (71), Y:14-RND:6-PHI.
[2026-04-01 23:02:55] TRADE : From Chicago Blackhawks to Philadelphia Flyers : Garnet Hathaway (72).
[2026-03-31 22:35:55] TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Nic Dowd (74).
[2026-03-31 22:35:55] TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Alexey Toropchenko (70).
[2026-02-18 23:26:11] TRADE : From Philadelphia Flyers to Carolina Hurricanes : Brayden Yager (51), Joel Farabee (73), Juuso Valimaki (71), Philip Broberg (70), Brodie Ziemer (P), Y:14-RND:1-PHI.
[2026-02-18 23:26:11] TRADE : From Carolina Hurricanes to Philadelphia Flyers : J.J. Moser (73), J.J. Peterka (74).
[2026-01-19 23:28:23] New Record for Team's Most Shots (47) in 1 Game for Philadelphia Flyers!
[2025-10-16 23:01:13] Tanner Molendyk was added to Philadelphia Flyers.
[2025-10-16 22:56:21] Caden Price was added to Philadelphia Flyers.
[2025-10-16 22:53:23] Gracyn Sawchyn was added to Philadelphia Flyers.
[2025-10-16 22:50:11] Brayden Yager was added to Philadelphia Flyers.
[2025-10-16 22:38:34] TRADE : From Chicago Blackhawks to Philadelphia Flyers : Y:15-RND:7-CHI, Y:15-RND:8-CHI.
[2025-10-16 22:38:34] TRADE : From Philadelphia Flyers to Chicago Blackhawks : Hayden Hodgson (54), Spencer Smallman (56), Dysin Mayo (58), Ben Gleason (58).
[2025-10-16 22:32:27] Jean-Luc Foudy has been selected as assistant for Lehigh Valley Phantoms.
[2025-10-16 22:32:27] Unknown Player is no longer as assistant for Lehigh Valley Phantoms.
[2025-10-16 22:32:27] Scott Perunovich has been selected as assistant for Lehigh Valley Phantoms.
[2025-10-16 22:32:27] Unknown Player is no longer as assistant for Lehigh Valley Phantoms.
[2025-10-16 22:32:27] John Hayden has been selected as captain for Lehigh Valley Phantoms.
[2025-10-16 22:32:27] Unknown Player is no longer captain for Lehigh Valley Phantoms.
[2025-10-16 22:32:27] Tomas Hertl has been selected as assistant for Philadelphia Flyers.
[2025-10-16 22:32:27] Unknown Player is no longer as assistant for Philadelphia Flyers.
[2025-10-16 22:32:27] Quinn Hughes has been selected as assistant for Philadelphia Flyers.
[2025-10-16 22:32:27] Unknown Player is no longer as assistant for Philadelphia Flyers.
[2025-10-15 22:23:34] TRADE : From St-Louis Blues to Philadelphia Flyers : Luke Kunin (69).
[2025-10-15 22:23:34] TRADE : From Philadelphia Flyers to St-Louis Blues : $25,000 (Money).
[2025-10-15 22:19:33] TRADE : From Seattle Kraken to Philadelphia Flyers : Nico Daws (68).
[2025-10-15 22:19:33] TRADE : From Philadelphia Flyers to Seattle Kraken : $25,000 (Money).
[2025-09-29 22:25:34] Ales Stezka has been added to Philadelphia Flyers.
[2025-09-29 22:25:15] Blade Jenkins has been added to Philadelphia Flyers.
[2025-09-29 22:25:06] Jordan Fracsa has been added to Philadelphia Flyers.
[2025-09-29 22:24:56] Tristen Robbins has been added to Philadelphia Flyers.
[2025-09-29 22:24:07] Ales Stezka was released.
[2025-09-29 22:24:07] Philadelphia Flyers paid $0 to release Ales Stezka.
[2025-09-29 22:23:54] Mikko Kokkonen was released.
[2025-09-29 22:23:54] Philadelphia Flyers paid $0 to release Mikko Kokkonen.
[2025-09-29 22:23:22] Brogan Rafferty was released.
[2025-09-29 22:23:22] Philadelphia Flyers paid $0 to release Brogan Rafferty.
[2025-09-29 22:23:02] Blade Jenkins was released.
[2025-09-29 22:23:02] Philadelphia Flyers paid $0 to release Blade Jenkins.
[2025-09-29 22:22:50] Jordan Frasca was released.
[2025-09-29 22:22:50] Philadelphia Flyers paid $0 to release Jordan Frasca.
[2025-09-29 22:22:32] Tristen Robins was released.
[2025-09-29 22:22:32] Philadelphia Flyers paid $0 to release Tristen Robins.
[2025-09-18 22:17:17] Dysin Mayo signed with Philadelphia Flyers for $775,000 for 2 year(s).
[2025-09-18 22:17:17] Dysin Mayo was added to Philadelphia Flyers.
[2025-09-18 22:14:55] Cameron Hebig signed with Philadelphia Flyers for $775,000 for 2 year(s).
[2025-09-18 22:14:55] Cameron Hebig was added to Philadelphia Flyers.
[2025-09-18 22:13:33] Spencer Smallman signed with Philadelphia Flyers for $775,000 for 2 year(s).
[2025-09-18 22:13:33] Spencer Smallman was added to Philadelphia Flyers.
[2025-09-18 22:13:08] Simon Lundmark signed with Philadelphia Flyers for $775,000 for 2 year(s).
[2025-09-18 22:13:08] Simon Lundmark was added to Philadelphia Flyers.
[2025-09-18 22:10:04] Ronan Seeley signed with Philadelphia Flyers for $813,750 for 2 year(s).
[2025-09-18 22:10:04] Ronan Seeley was added to Philadelphia Flyers.
[2025-09-18 22:08:58] Mackenzie MacEachern signed with Philadelphia Flyers for $775,000 for 2 year(s) / Option : 1 Way Contract .
[2025-09-18 22:08:58] Mackenzie MacEachern was added to Philadelphia Flyers.
[2025-09-18 22:01:29] John Hayden signed with Philadelphia Flyers for $775,000 for 2 year(s).
[2025-09-18 22:01:29] John Hayden was added to Philadelphia Flyers.
[2025-09-18 22:00:50] Hayden Hodgson signed with Philadelphia Flyers for $775,000 for 2 year(s).
[2025-09-18 22:00:50] Hayden Hodgson was added to Philadelphia Flyers.
[2025-09-18 21:58:28] Ben Gleason signed with Philadelphia Flyers for $800,000 for 2 year(s).
[2025-09-18 21:58:28] Ben Gleason was added to Philadelphia Flyers.
[2025-07-09 23:42:42] Magnus Hellberg was released.
[2025-07-09 23:42:42] Philadelphia Flyers paid $0 to release Magnus Hellberg.
[2025-07-09 23:25:00] Joseph Cecconi was released.
[2025-07-09 23:25:00] Philadelphia Flyers paid $0 to release Joseph Cecconi.
[2025-07-09 23:24:50] Derek Forbort was released.
[2025-07-09 23:24:50] Philadelphia Flyers paid $0 to release Derek Forbort.
[2025-07-09 23:24:44] Luke Schenn was released.
[2025-07-09 23:24:44] Philadelphia Flyers paid $0 to release Luke Schenn.
[2025-07-09 23:24:38] Jeff Skinner was released.
[2025-07-09 23:24:38] Philadelphia Flyers paid $0 to release Jeff Skinner.

Leo Loof est dehors pour 1 mois à cause de Bruised Left Shoulder Injury.
John Hayden est dehors pour 1 jours à cause de Exhaustion.
Nathan MacKinnon est dehors pour le reste de la saison à cause de Salary Cap.
Tomas Hertl est dehors pour 3 jours à cause de Left Hand Injury.
J.J. Peterka est dehors pour 4 jours à cause de Bruised Left Arm 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: 76 \| W: 44 \| L: 26 \| OTL: 6 \| P: 94 GF: 227 \| GA: 193 \| PP%: 20.00% \| PK%: 80.20% DG: Dominic Gariepy \| Morale : 38 \| Moyenne d’équipe : 73 Prochains matchs #1018 vs Boston Bruins