Phantoms
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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
	Blackhawks 1-1-0, 2pts	4	FINAL	3	Flyers 1-0-1, 3pts

Team Stats
L1	Streak	W1
0-1-0	Home Record	0-0-1
1-0-0	Away Record	1-0-0
1-1-0	Last 10 Games	1-0-1
3.00	Buts par match	4.00
3.50	Buts contre par match	3.50
28.57%	Pourcentage en avantage numérique	25.00%
83.33%	Pourcentage en désavantage numérique	50.00%

Flyers
1-0-1, 3pts

FINAL

Senators
1-1-0, 2pts

Team Stats
W1	Streak	W1
0-0-1	Home Record	0-1-0
1-0-0	Away Record	1-0-0
1-0-1	Last 10 Games	1-1-0
4.00	Buts par match	3.50
3.50	Buts contre par match	3.50
25.00%	Pourcentage en avantage numérique	21.43%
50.00%	Pourcentage en désavantage numérique	66.67%

Golden Knights
2-0-0, 4pts

2022-10-15

Flyers
1-0-1, 3pts

Statistiques d’équipe
W2	Séquence	W1
1-0-0	Fiche domicile	0-0-1
1-0-0	Fiche visiteur	1-0-0
2-0-0	10 derniers matchs	1-0-1
2.50	Buts par match	4.00
1.00	Buts contre par match	4.00
12.50%	Pourcentage en avantage numérique	25.00%
75.00%	Pourcentage en désavantage numérique	50.00%

Flyers
1-0-1, 3pts

2022-10-16

Golden Knights
2-0-0, 4pts

Statistiques d’équipe
W1	Séquence	W2
0-0-1	Fiche domicile	1-0-0
1-0-0	Fiche visiteur	1-0-0
1-0-1	10 derniers matchs	2-0-0
4.00	Buts par match	2.50
3.50	Buts contre par match	2.50
25.00%	Pourcentage en avantage numérique	12.50%
50.00%	Pourcentage en désavantage numérique	75.00%

Islanders
2-0-0, 4pts

2022-10-17

Flyers
1-0-1, 3pts

Statistiques d’équipe
W2	Séquence	W1
1-0-0	Fiche domicile	0-0-1
1-0-0	Fiche visiteur	1-0-0
2-0-0	10 derniers matchs	1-0-1
3.00	Buts par match	4.00
1.50	Buts contre par match	4.00
0.00%	Pourcentage en avantage numérique	25.00%
75.00%	Pourcentage en désavantage numérique	50.00%

Meneurs d'équipe
	Buts Chris Kreider 2	Passes Chris Kreider 3

	Points Chris Kreider 5	Plus/Moins Chris Kreider 2

	Victoires Jacob Markstrom 1	Pourcentage d’arrêts Cam Talbot 0.9

Statistiques d’équipe
Buts pour 8 4.00 GFG	Tirs pour 52 26.00 Avg	Pourcentage en avantage numérique 25.0% 2 GF	Début de zone offensive 41.1%
Buts contre 7 3.50 GAA	Tirs contre 62 31.00 Avg	Pourcentage en désavantage numérique 50.0% 3 GA	Début de la zone défensive 38.4%

Informations de l'équipe
	Directeur général	Yannick Bernier
	Entraîneur	David Hakstol
	Division	Metropolitain
	Conférence	East
	Capitaine
	Assistant #1	Jonas Brodin
	Assistant #2
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	19,543
	Assistance	13,408
	Billets de saison	8,794
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	27
	Limite contact	47 / 60
	Espoirs	14
Plafond salarial
	Cap Salarial de la Saison estimé	78,381,190$
	Plafond salarial disponible	6,618,810$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	2,464,022$
	Dépenses annuelles à ce jour	2,091,240$
	Revenus de la saison estimés	98,560,880$
	Dépenses de la saison estimées	79,989,930$
	Compte bancaire actuel	53,862,298$
	Compte bancaire projeté	72,191,797$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Chris Kreider	0		X	X		100.00	82	45	90	91	80	79	91	85	49	75	97	74	63	76	76	87	50	0	0	31	1	4,625,000$
2	Erik Haula	0	X	X			100.00	82	54	82	83	70	69	90	64	89	76	74	68	63	72	75	74	50	0	0	31	2	2,625,000$
3	Josh Anderson	0		X	X		100.00	87	77	74	85	85	76	86	77	42	65	79	68	25	67	69	76	50	0	0	28	3	6,000,000$
4	Logan O'Connor	0			X		100.00	77	56	86	77	64	67	77	59	32	65	59	85	25	58	59	68	50	0	0	26	3	725,000$
5	Ryan Johansen	0	X				100.00	73	54	81	80	81	74	89	85	93	82	84	67	61	77	80	80	50	0	0	30	3	8,000,000$
6	Ryan Strome	0	X				100.00	67	52	74	84	71	79	91	84	78	81	79	69	50	73	73	78	50	0	0	29	2	4,500,000$
7	Tyler Toffoli	0		X	X		100.00	76	44	93	85	71	74	89	77	50	79	78	72	33	73	77	78	50	0	0	30	3	5,000,000$
8	Zach Parise	0		X			100.00	69	42	89	81	69	70	89	73	39	69	71	75	72	89	94	73	50	0	0	38	1	1,500,000$
9	Artemi Panarin	0		X			100.00	61	40	91	94	63	80	84	83	44	97	80	65	85	72	72	80	50	0	0	30	3	11,642,857$
10	Michael Sgarbossa	0	X				100.00	69	42	99	79	67	55	58	67	86	65	72	60	25	45	45	69	50	0	0	30	3	750,000$
11	Andreas Johnsson	0		X	X		100.00	73	43	87	82	68	68	86	66	33	75	71	65	79	64	64	72	50	0	0	27	2	3,400,000$
12	Alex Formenton	0		X			100.00	78	66	79	85	68	70	82	68	36	64	77	80	25	56	56	74	50	0	0	23	1	888,333$
13	Alex Goligoski	0				X	100.00	71	42	86	80	67	77	90	69	25	68	48	77	80	86	86	65	50	0	0	37	1	1,000,000$
14	Adam Fox	0				X	100.00	63	41	89	89	66	90	92	83	25	81	56	90	63	63	63	75	50	0	0	24	1	1,775,000$
15	Dylan DeMelo	0				X	100.00	80	44	88	80	70	76	89	62	25	52	47	87	25	69	70	64	50	0	0	29	2	3,000,000$
16	Jonas Brodin (A)	0				X	100.00	67	42	91	83	71	89	89	73	25	66	49	87	25	75	78	68	50	0	0	29	2	6,000,000$
17	Josh Morrissey	0				X	100.00	84	45	76	84	71	89	93	82	25	65	58	76	25	67	69	71	50	0	0	27	3	6,500,000$
18	Troy Stecher	0				X	100.00	76	64	86	83	69	70	63	61	25	46	48	77	25	65	65	61	50	0	0	28	2	1,700,000$
Rayé
Équipe Mineure
1	John Leonard (R)	0		X	X		100.00	73	43	99	72	66	59	78	63	44	57	58	64	25	50	50	63	50	0	0	24	2	1,137,500$
2	Quinton Byfield (R)	0	X				99.00	65	43	85	82	81	63	70	62	69	61	69	63	75	48	48	65	50	0	0	20	2	3,544,167$
3	Tyce Thompson (R)	0			X		100.00	68	66	72	66	66	54	51	66	50	64	65	62	62	44	44	64	50	0	0	23	1	1,125,000$
4	Alex Limoges	0	X				100.00	79	74	92	58	74	61	61	62	78	54	65	66	62	44	44	64	50	0	0	25	2	867,000$
5	Cole Bardreau	0	X				100.00	76	68	95	63	68	56	56	60	75	52	62	67	59	55	55	63	50	0	0	29	1	700,000$
6	Lane Pederson	0	X		X		100.00	84	45	89	71	70	57	67	60	52	57	55	64	25	48	48	61	50	0	0	25	1	690,000$
7	Evan Barratt (R)	0	X	X			100.00	69	68	70	64	68	61	63	56	70	50	58	60	55	44	44	59	50	0	0	23	1	925,000$
8	Gemel Smith	0	X	X	X		100.00	76	74	82	72	74	50	48	61	76	53	62	67	59	56	56	63	50	0	0	28	2	700,000$
9	Givani Smith	0		X	X		100.00	84	99	42	71	81	51	69	56	44	57	59	61	25	55	55	60	50	0	0	24	3	750,000$
10	Nathan Bastian	0			X		100.00	94	71	75	74	79	62	82	73	43	58	70	69	25	58	58	70	50	0	0	24	1	905,000$
11	Taro Hirose	0		X	X		100.00	67	41	91	69	59	57	80	72	44	65	58	65	25	50	50	64	50	0	0	26	2	850,000$
12	Jack Studnicka	0	X		X		100.00	76	43	91	80	65	63	69	58	76	65	55	68	25	47	47	64	50	0	0	23	1	863,333$
13	Ty Smith	0				X	100.00	69	42	89	84	64	74	83	67	25	57	49	66	25	57	57	63	50	0	0	22	1	1,263,333$
14	Zachary Jones (R)	0				X	100.00	61	40	99	70	62	66	63	61	25	52	47	73	75	46	46	59	50	0	0	21	1	925,000$
15	Jordan Harris (R)	0				X	100.00	75	43	77	67	64	69	41	60	25	39	50	70	25	44	44	58	50	0	0	22	4	1,137,500$
16	Thomas Harley (R)	0				X	100.00	73	43	93	78	73	63	75	61	25	48	48	63	25	47	47	59	50	0	0	21	2	1,288,333$
17	Mark Friedman	0				X	100.00	75	66	75	73	68	62	51	59	25	51	48	75	25	47	47	60	50	0	0	26	2	775,000$
18	David Farrance (R)	0				X	100.00	74	67	90	79	67	49	50	49	25	43	39	60	37	44	44	53	50	0	0	23	2	1,350,000$
19	Simon Lundmark (R)	0				X	100.00	80	75	91	70	75	51	52	47	25	38	41	63	39	44	44	53	50	0	0	21	3	925,000$
20	Josiah Slavin (R)	0		X			100.00	71	43	91	70	73	62	65	61	57	57	55	77	25	45	45	63	50	0	0	23	2	925,000$
21	Brandon Gignac (R)	0	X	X			100.00	71	63	91	71	63	52	50	61	76	57	58	65	55	55	55	62	50	0	0	24	2	921,666$
22	Stelio Mattheos (R)	0	X		X		100.00	74	72	79	64	72	53	55	49	61	47	45	60	43	44	44	53	50	0	0	23	2	925,000$
23	Layton Ahac (R)	0				X	100.00	76	70	91	61	70	47	48	47	25	39	39	61	37	44	44	50	50	0	0	21	2	925,000$

	MOYENNE D’ÉQUIPE						100.00	74	50	86	84	71	75	85	73	46	71	68	75	47	69	71	73	50	0

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	Cam Talbot	99.00	78	78	77	81	79	77	83	77	81	78	73	68	69	79	50	0	0	35	1	2,750,000$
2	Jacob Markstrom	100.00	87	92	88	87	86	88	98	88	88	87	90	68	69	89	50	0	0	32	2	6,000,000$
Rayé
Équipe Mineure
1	Jiri Patera (R)	100.00	55	42	53	80	60	58	53	59	59	58	30	44	44	56	50	0	0	23	3	800,000$
2	Dylan Ferguson (R)	100.00	52	40	50	72	57	56	51	57	58	57	30	44	44	54	50	0	0	24	2	733,333$
3	Dustin Wolf (R)	100.00	61	41	51	60	67	61	62	67	65	64	30	44	44	61	50	0	0	21	3	825,000$
4	Joseph Woll (R)	100.00	54	47	59	83	57	55	50	57	54	53	30	44	44	53	50	0	0	24	1	800,000$

	MOYENNE D’ÉQUIPE	99.50	83	85	83	84	83	83	91	83	85	83	82	68	69	84	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
David Hakstol	77	84	85	82	77	72	70	CAN	53	3	3,000,000$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Chris Kreider	Flyers	LW/RW	2	2	3	5	2	0	4	2	7	1	3	28.57%	0	41	20.72	0	2	2	2	6	4	0	20.72	14	2.41	1	0	0
2	Adam Fox	Flyers	D	2	0	3	3	0	0	0	3	4	1	1	0.00%	4	46	23.13	0	1	1	3	6	5	0	0.00%	0	1.30	0	0	0
3	Josh Morrissey	Flyers	D	2	2	1	3	1	2	8	0	4	0	2	50.00%	3	45	22.57	2	0	2	4	6	4	1	0.00%	0	1.33	0	1	0
4	Jonas Brodin	Flyers	D	2	0	2	2	1	0	0	2	3	1	0	0.00%	4	43	21.70	0	0	0	1	6	3	0	0.00%	0	0.92	0	0	0
5	Ryan Johansen	Flyers	C	2	0	2	2	1	6	3	5	5	1	5	0.00%	0	39	19.58	0	1	1	0	6	2	0	19.58	46	1.02	0	0	0
6	Ryan Strome	Flyers	C	2	0	2	2	2	0	0	5	4	3	3	0.00%	0	34	17.04	0	0	0	2	6	0	0	17.04	39	1.17	0	0	0
7	Artemi Panarin	Flyers	LW	2	1	1	2	1	0	0	3	4	1	3	25.00%	1	41	20.56	0	0	0	0	6	4	0	20.56	2	0.97	0	0	1
8	Erik Haula	Flyers	C/LW	2	0	1	1	-1	2	1	2	1	1	0	0.00%	0	27	13.52	0	0	0	0	0	0	0	13.52	28	0.74	0	0	0
9	Josh Anderson	Flyers	LW/RW	2	1	0	1	2	2	8	0	4	1	1	25.00%	0	34	17.03	0	0	0	0	6	0	0	17.03	1	0.59	0	0	1
10	Tyler Toffoli	Flyers	LW/RW	2	1	0	1	2	0	1	2	5	0	3	20.00%	1	38	19.22	0	0	0	1	6	4	0	19.22	3	0.52	0	0	0
11	Zach Parise	Flyers	LW	2	1	0	1	-1	0	1	0	5	2	0	20.00%	0	26	13.14	0	0	0	0	0	0	0	13.14	2	0.76	0	0	0
12	Alex Goligoski	Flyers	D	2	0	0	0	1	0	5	2	0	1	1	0.00%	2	30	15.28	0	0	0	0	0	0	0	0.00%	0	0.00%	0	0	0
13	Dylan DeMelo	Flyers	D	2	0	0	0	1	0	8	2	4	1	2	0.00%	3	43	21.56	0	0	0	4	6	3	0	0.00%	0	0.00%	0	0	0
14	Logan O'Connor	Flyers	RW	2	0	0	0	0	0	2	0	0	0	0	0.00%	0	13	6.93	0	0	0	0	0	0	0	0.00%	0	0.00%	0	0	0
15	Michael Sgarbossa	Flyers	C	2	0	0	0	0	0	1	1	0	0	1	0.00%	0	13	6.93	0	0	0	0	0	0	0	6.93	9	0.00%	0	0	0
16	Troy Stecher	Flyers	D	2	0	0	0	1	0	1	4	0	0	0	0.00%	2	31	15.87	0	0	0	0	0	1	0	0.00%	0	0.00%	0	0	0
17	Andreas Johnsson	Flyers	LW/RW	2	0	0	0	0	0	0	1	2	0	0	0.00%	0	13	6.93	0	0	0	0	0	0	0	6.93	2	0.00%	0	0	0
18	Alex Formenton	Flyers	LW	2	0	0	0	-1	0	2	3	0	2	4	0.00%	0	28	14.15	0	0	0	0	0	2	0	0.00%	1	0.00%	0	0	0
Statistiques d’équipe totales ou en moyenne				36	8	15	23	12	12	45	37	52	16	29	15.38%	20	591	16.44	2	4	6	17	62	35	1	49.66%	147	0.78	1	1	2

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Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	OTL	PCT	GAA	MP	GA	SA	PS %	ST	BG
1	Jacob Markstrom	Flyers	1	1	0	0.864	3.00	60	3	22	0.00%	1	1
2	Cam Talbot	Flyers	1	0	1	0.900	4.00	60	4	40	0.00%	1	1
Statistiques d’équipe totales ou en moyenne			2	1	1	0.887	3.50	120	7	62		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	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Salaire restant	Salaire moyen	Salaire moyen restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Link
Adam Fox	Flyers	D	24	1998-02-17	No	181 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,775,000$	1,729,777$	1,775,000$	1,729,777$	1,775,000$	1,729,777$	No			Lien
Alex Formenton	Flyers	LW	23	1999-09-13	No	165 Lbs	6 ft2	No	No	No	1	Pro & Farm	888,333$	865,700$	888,333$	865,700$	888,333$	865,700$	No			Lien
Alex Goligoski	Flyers	D	37	1985-07-29	No	185 Lbs	5 ft11	Yes	No	No	1	Pro & Farm	1,000,000$	974,522$	1,000,000$	974,522$	1,000,000$	974,522$	No			Lien
Andreas Johnsson	Flyers	LW/RW	27	1994-11-20	No	194 Lbs	5 ft10	Yes	No	No	2	Pro & Farm	3,400,000$	3,313,376$	3,400,000$	3,313,376$	3,400,000$	3,313,376$	No	3,400,000$		Lien
Artemi Panarin	Flyers	LW	30	1991-10-29	No	170 Lbs	5 ft11	No	No	No	3	Pro & Farm	11,642,857$	11,346,224$	11,642,857$	11,346,224$	11,642,857$	11,346,224$	No	11,642,857$	11,642,857$	Lien
Cam Talbot	Flyers	G	35	1987-07-04	No	193 Lbs	6 ft4	No	No	No	1	Pro & Farm	2,750,000$	2,679,936$	2,750,000$	2,679,936$	2,750,000$	2,679,936$	No			Lien
Chris Kreider	Flyers	LW/RW	31	1991-04-29	No	217 Lbs	6 ft3	No	No	No	1	Pro Only	4,625,000$	4,507,166$	4,625,000$	4,507,166$	4,625,000$	4,507,166$	No			Lien
Dylan DeMelo	Flyers	D	29	1993-05-01	No	191 Lbs	6 ft0	No	No	No	2	Pro & Farm	3,000,000$	2,923,567$	3,000,000$	2,923,567$	3,000,000$	2,923,567$	No	3,000,000$		Lien
Erik Haula	Flyers	C/LW	31	1991-03-23	No	193 Lbs	6 ft0	Yes	No	No	2	Pro & Farm	2,625,000$	2,558,121$	2,625,000$	2,558,121$	2,625,000$	2,558,121$	No	2,625,000$		Lien
Jacob Markstrom	Flyers	G	32	1990-01-31	No	206 Lbs	6 ft6	No	No	No	2	Pro & Farm	6,000,000$	5,847,134$	6,000,000$	5,847,134$	6,000,000$	5,847,134$	No	6,000,000$		Lien
Jonas Brodin	Flyers	D	29	1993-07-12	No	194 Lbs	6 ft1	No	No	No	2	Pro & Farm	6,000,000$	5,847,134$	6,000,000$	5,847,134$	6,000,000$	5,847,134$	No	6,000,000$		Lien
Josh Anderson	Flyers	LW/RW	28	1994-05-07	No	226 Lbs	6 ft3	Yes	No	No	3	Pro & Farm	6,000,000$	5,847,134$	6,000,000$	5,847,134$	6,000,000$	5,847,134$	No	6,000,000$	6,000,000$	Lien
Josh Morrissey	Flyers	D	27	1995-03-28	No	195 Lbs	6 ft0	Yes	No	No	3	Pro & Farm	6,500,000$	6,334,395$	6,500,000$	6,334,395$	6,500,000$	6,334,395$	No	6,500,000$	6,500,000$	Lien
Logan O'Connor	Flyers	RW	26	1996-08-14	No	174 Lbs	6 ft0	No	No	No	3	Pro & Farm	725,000$	706,529$	725,000$	706,529$	725,000$	706,529$	No	725,000$	725,000$	Lien
Michael Sgarbossa	Flyers	C	30	1992-07-25	No	182 Lbs	6 ft0	Yes	No	No	3	Pro & Farm	750,000$	730,892$	750,000$	730,892$	750,000$	730,892$	No	750,000$	750,000$	Lien
Ryan Johansen	Flyers	C	30	1992-07-31	No	218 Lbs	6 ft3	Yes	No	No	3	Pro & Farm	8,000,000$	7,796,178$	8,000,000$	7,796,178$	8,000,000$	7,796,178$	No	8,000,000$	8,000,000$	Lien
Ryan Strome	Flyers	C	29	1993-07-11	No	193 Lbs	6 ft1	No	No	No	2	Pro & Farm	4,500,000$	4,385,350$	4,500,000$	4,385,350$	4,500,000$	4,385,350$	No	4,500,000$		Lien
Troy Stecher	Flyers	D	28	1994-04-07	No	190 Lbs	5 ft10	No	No	No	2	Pro & Farm	1,700,000$	1,656,688$	1,700,000$	1,656,688$	1,700,000$	1,656,688$	No	1,700,000$		Lien
Tyler Toffoli (contrat à 1 volet)	Flyers	LW/RW	30	1992-04-24	No	198 Lbs	6 ft0	Yes	No	No	3	Pro Only	5,000,000$	4,872,611$	5,000,000$	4,872,611$	5,000,000$	4,872,611$	No	5,000,000$	5,000,000$	Lien
Zach Parise	Flyers	LW	38	1984-07-28	No	193 Lbs	5 ft11	Yes	No	No	1	Pro & Farm	1,500,000$	1,461,783$	1,500,000$	1,461,783$	1,500,000$	1,461,783$	No			Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	29.70	193 Lbs	6 ft1	2.05	3,919,060$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
78,381,190$	65,842,857$	38,617,857$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Artemi Panarin	Ryan Johansen	Chris Kreider	35	1	1	3
2	Josh Anderson	Ryan Strome	Tyler Toffoli	30	1	1	3
3	Alex Formenton	Erik Haula	Zach Parise	25	1	1	3
4	Logan O'Connor	Michael Sgarbossa	Andreas Johnsson	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Fox	Josh Morrissey	35	1	2	2
2	Jonas Brodin	Dylan DeMelo	35	1	2	2
3	Alex Goligoski	Troy Stecher	20	1	2	2
4	Alex Goligoski	Troy Stecher	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Chris Kreider	Ryan Johansen	Tyler Toffoli	50	0	0	5
2	Artemi Panarin	Ryan Strome	Josh Anderson	50	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Fox	Josh Morrissey	50	1	1	3
2	Jonas Brodin	Dylan DeMelo	50	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Chris Kreider	Artemi Panarin	50	1	2	2
2	Ryan Johansen	Tyler Toffoli	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Fox	Josh Morrissey	50	1	2	2
2	Jonas Brodin	Dylan DeMelo	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Chris Kreider	50	1	2	2	Adam Fox	Josh Morrissey	50	1	2	2
2	Artemi Panarin	50	1	2	2	Jonas Brodin	Dylan DeMelo	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Chris Kreider	Artemi Panarin	50	1	2	2
2	Ryan Johansen	Tyler Toffoli	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Fox	Josh Morrissey	50	1	2	2
2	Jonas Brodin	Dylan DeMelo	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Artemi Panarin	Ryan Johansen	Chris Kreider	Adam Fox	Josh Morrissey

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Josh Anderson	Ryan Strome	Tyler Toffoli	Adam Fox	Dylan DeMelo

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Chris Kreider, Ryan Johansen, Alex Formenton	Chris Kreider, Tyler Toffoli	Alex Formenton

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Adam Fox, Troy Stecher, Jonas Brodin	Josh Morrissey	Troy Stecher, Jonas Brodin

Tirs de pénalité
Chris Kreider, Artemi Panarin, Ryan Johansen, Tyler Toffoli, Ryan Strome

Gardien
#1 : Jacob Markstrom, #2 : Cam Talbot

Lignes d’attaque personnalisées en prolongation
Chris Kreider, Artemi Panarin, Ryan Johansen, Tyler Toffoli, Ryan Strome, Josh Anderson, Josh Anderson, Erik Haula, Alex Formenton, Zach Parise, Andreas Johnsson

Lignes de défense personnalisées en prolongation
Adam Fox, Josh Morrissey, Jonas Brodin, Dylan DeMelo, Troy Stecher

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	Blackhawks	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	5	8	0	0	0	1	2	0	23	6	9	8	0	40	13	8	27	3	0	0.00%	4	2	50.00%	0	28	60	46.67%	24	56	42.86%	21	30	70.00%	23	15	24	6	12	6
2	Senators	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	10	15	0	0	1	4	0	0	29	6	17	6	0	22	7	4	18	5	2	40.00%	2	1	50.00%	0	28	60	46.67%	24	56	42.86%	21	30	70.00%	25	17	21	7	12	6
	Total	2	1	0	0	0	1	0	0	8	7	1	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	5	3	2	3	0.750	8	15	23	0	0	1	5	2	0	52	12	26	14	0	62	20	12	45	8	2	25.00%	6	3	50.00%	0	28	60	46.67%	24	56	42.86%	21	30	70.00%	49	33	46	13	24	12
	_Since Last GM Reset	2	1	0	0	0	1	0	0	8	7	1	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	5	3	2	3	0.750	8	15	23	0	0	1	5	2	0	52	12	26	14	0	62	20	12	45	8	2	25.00%	6	3	50.00%	0	28	60	46.67%	24	56	42.86%	21	30	70.00%	49	33	46	13	24	12
	_Vs Conference	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	10	15	0	0	1	4	0	0	29	6	17	6	0	22	7	4	18	5	2	40.00%	2	1	50.00%	0	28	60	46.67%	24	56	42.86%	21	30	70.00%	25	17	21	7	12	6

			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	3	W1	8	15	23	52	62	20	12	45	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	0	0	1	0	0	8	7

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	0	0	1	0	0	3	4

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	5	3

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	0	0	1	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
8	2	25.00%	6	3	50.00%	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
12	26	14	0	1	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
28	60	46.67%	24	56	42.86%	21	30	70.00%

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
49	33	46	13	24	12

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	Lien
2 - 2022-10-10	6	Blackhawks	4	Flyers	3	BL	X	Sommaire du match
3 - 2022-10-11	8	Flyers	5	Senators	3	AW		Sommaire du match
7 - 2022-10-15	27	Golden Knights	-	Flyers	-
8 - 2022-10-16	39	Flyers	-	Golden Knights	-
9 - 2022-10-17	51	Islanders	-	Flyers	-
10 - 2022-10-18	54	Flyers	-	Senators	-
13 - 2022-10-21	69	Flyers	-	Red Wings	-
14 - 2022-10-22	81	Flyers	-	Blue Jackets	-
15 - 2022-10-23	87	Penguins	-	Flyers	-
17 - 2022-10-25	104	Blue Jackets	-	Flyers	-
19 - 2022-10-27	113	Flyers	-	Senators	-
21 - 2022-10-29	124	Maple Leafs	-	Flyers	-
23 - 2022-10-31	138	Rangers	-	Flyers	-
24 - 2022-11-01	150	Flyers	-	Rangers	-
26 - 2022-11-03	160	Islanders	-	Flyers	-
27 - 2022-11-04	168	Flyers	-	Islanders	-
30 - 2022-11-07	183	Flyers	-	Golden Knights	-
32 - 2022-11-09	192	Kings	-	Flyers	-
34 - 2022-11-11	201	Flyers	-	Kings	-
35 - 2022-11-12	212	Flyers	-	Stars	-
36 - 2022-11-13	220	Red Wings	-	Flyers	-
39 - 2022-11-16	234	Maple Leafs	-	Flyers	-
41 - 2022-11-18	244	Flyers	-	Oilers	-
42 - 2022-11-19	256	Flames	-	Flyers	-
44 - 2022-11-21	269	Flyers	-	Canadiens	-
46 - 2022-11-23	274	Flyers	-	Penguins	-
47 - 2022-11-24	285	Ducks	-	Flyers	-
50 - 2022-11-27	299	Rangers	-	Flyers	-
52 - 2022-11-29	311	Flyers	-	Blue Jackets	-
53 - 2022-11-30	321	Flyers	-	Blackhawks	-
55 - 2022-12-02	329	Avalanche	-	Flyers	-
57 - 2022-12-04	344	Maple Leafs	-	Flyers	-
61 - 2022-12-08	362	Rangers	-	Flyers	-
62 - 2022-12-09	375	Blackhawks	-	Flyers	-
64 - 2022-12-11	384	Flyers	-	Maple Leafs	-
65 - 2022-12-12	394	Flyers	-	Flames	-
68 - 2022-12-15	403	Islanders	-	Flyers	-
70 - 2022-12-17	415	Flyers	-	Blue Jackets	-
71 - 2022-12-18	424	Jets	-	Flyers	-
73 - 2022-12-20	436	Flyers	-	Avalanche	-
74 - 2022-12-21	446	Blue Jackets	-	Flyers	-
77 - 2022-12-24	460	Flyers	-	Senators	-
78 - 2022-12-25	470	Blue Jackets	-	Flyers	-
80 - 2022-12-27	483	Flyers	-	Jets	-
82 - 2022-12-29	491	Blackhawks	-	Flyers	-
86 - 2023-01-02	510	Flyers	-	Blues	-
87 - 2023-01-03	517	Senators	-	Flyers	-
90 - 2023-01-06	534	Red Wings	-	Flyers	-
92 - 2023-01-08	543	Flyers	-	Golden Knights	-
93 - 2023-01-09	553	Flyers	-	Ducks	-
94 - 2023-01-10	560	Penguins	-	Flyers	-
97 - 2023-01-13	577	Senators	-	Flyers	-
98 - 2023-01-14	590	Flyers	-	Penguins	-
100 - 2023-01-16	599	Lightning	-	Flyers	-
101 - 2023-01-17	610	Flyers	-	Senators	-
103 - 2023-01-19	622	Lightning	-	Flyers	-
104 - 2023-01-20	628	Flyers	-	Lightning	-
106 - 2023-01-22	640	Flyers	-	Penguins	-
109 - 2023-01-25	650	Golden Knights	-	Flyers	-
110 - 2023-01-26	664	Flyers	-	Red Wings	-
111 - 2023-01-27	671	Flyers	-	Rangers	-
112 - 2023-01-28	675	Stars	-	Flyers	-
116 - 2023-02-01	691	Canadiens	-	Flyers	-
117 - 2023-02-02	706	Golden Knights	-	Flyers	-
119 - 2023-02-04	715	Flyers	-	Canadiens	-
121 - 2023-02-06	728	Flyers	-	Red Wings	-
122 - 2023-02-07	734	Flyers	-	Rangers	-
123 - 2023-02-08	740	Sharks	-	Flyers	-
124 - 2023-02-09	749	Flyers	-	Maple Leafs	-
127 - 2023-02-12	761	Flyers	-	Lightning	-
128 - 2023-02-13	767	Penguins	-	Flyers	-
132 - 2023-02-17	785	Blues	-	Flyers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
135 - 2023-02-20	801	Blues	-	Flyers	-
136 - 2023-02-21	806	Flyers	-	Islanders	-
138 - 2023-02-23	822	Bruins	-	Flyers	-
140 - 2023-02-25	831	Flyers	-	Sharks	-
142 - 2023-02-27	844	Bruins	-	Flyers	-
143 - 2023-02-28	853	Flyers	-	Bruins	-
146 - 2023-03-03	866	Canadiens	-	Flyers	-
148 - 2023-03-05	872	Flyers	-	Islanders	-
149 - 2023-03-06	878	Flyers	-	Bruins	-
155 - 2023-03-12	892	Oilers	-	Flyers	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6200	5200	3100	4043	1000
Prix des billets	240	150	90	70	450
Assistance	4,238	3,626	2,215	2,680	649
Attendance PCT	68.35%	69.73%	71.45%	66.29%	64.90%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
40	13408 - 68.61%	2,464,022$	2,464,022$	19543	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
2,091,240$	79,081,190$	79,081,190$	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
78,381,190$	1,996,972$	0$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
98,560,880$	153	522,810$	79,989,930$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
83,090,216$	53,862,298$	72,191,797$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
78,381,190$	6,618,810$	85,000,000$	18,381,190$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Chris Kreider	AGE:31	PO:87	OV:0
Artemi Panarin	AGE:30	PO:80	OV:0
Tyler Toffoli	AGE:30	PO:78	OV:0
Josh Anderson	AGE:28	PO:76	OV:0
Erik Haula	AGE:31	PO:74	OV:0
Alex Formenton	AGE:23	PO:74	OV:0
Zach Parise	AGE:38	PO:73	OV:0
Andreas Johnsson	AGE:27	PO:72	OV:0
Taro Hirose	AGE:26	PO:64	OV:0
John Leonard (R)	AGE:24	PO:63	OV:0
Gemel Smith	AGE:28	PO:63	OV:0
Josiah Slavin (R)	AGE:23	PO:63	OV:0
Brandon Gignac (R)	AGE:24	PO:62	OV:0
Givani Smith	AGE:24	PO:60	OV:0
Evan Barratt (R)	AGE:23	PO:59	OV:0

Ryan Johansen	AGE:30	PO:80	OV:0
Ryan Strome	AGE:29	PO:78	OV:0
Erik Haula	AGE:31	PO:74	OV:0
Michael Sgarbossa	AGE:30	PO:69	OV:0
Quinton Byfield (R)	AGE:20	PO:65	OV:0
Alex Limoges	AGE:25	PO:64	OV:0
Jack Studnicka	AGE:23	PO:64	OV:0
Cole Bardreau	AGE:29	PO:63	OV:0
Gemel Smith	AGE:28	PO:63	OV:0
Brandon Gignac (R)	AGE:24	PO:62	OV:0
Lane Pederson	AGE:25	PO:61	OV:0
Evan Barratt (R)	AGE:23	PO:59	OV:0
Stelio Mattheos (R)	AGE:23	PO:53	OV:0

Chris Kreider	AGE:31	PO:87	OV:0
Tyler Toffoli	AGE:30	PO:78	OV:0
Josh Anderson	AGE:28	PO:76	OV:0
Andreas Johnsson	AGE:27	PO:72	OV:0
Nathan Bastian	AGE:24	PO:70	OV:0
Logan O'Connor	AGE:26	PO:68	OV:0
Tyce Thompson (R)	AGE:23	PO:64	OV:0
Taro Hirose	AGE:26	PO:64	OV:0
Jack Studnicka	AGE:23	PO:64	OV:0
John Leonard (R)	AGE:24	PO:63	OV:0
Gemel Smith	AGE:28	PO:63	OV:0
Lane Pederson	AGE:25	PO:61	OV:0
Givani Smith	AGE:24	PO:60	OV:0
Stelio Mattheos (R)	AGE:23	PO:53	OV:0

Défense #1

Défense #2

Gardien

Adam Fox	AGE:24	PO:75	OV:0
Josh Morrissey	AGE:27	PO:71	OV:0
Jonas Brodin	AGE:29	PO:68	OV:0
Alex Goligoski	AGE:37	PO:65	OV:0
Dylan DeMelo	AGE:29	PO:64	OV:0
Ty Smith	AGE:22	PO:63	OV:0
Troy Stecher	AGE:28	PO:61	OV:0

Mark Friedman	AGE:26	PO:60	OV:0
Zachary Jones (R)	AGE:21	PO:59	OV:0
Thomas Harley (R)	AGE:21	PO:59	OV:0
Jordan Harris (R)	AGE:22	PO:58	OV:0
David Farrance (R)	AGE:23	PO:53	OV:0
Simon Lundmark (R)	AGE:21	PO:53	OV:0
Layton Ahac (R)	AGE:21	PO:50	OV:0

Jacob Markstrom	AGE:32	PO:89	OV:0
Cam Talbot	AGE:35	PO:79	OV:0
Dustin Wolf (R)	AGE:21	PO:61	OV:0
Jiri Patera (R)	AGE:23	PO:56	OV:0
Dylan Ferguson (R)	AGE:24	PO:54	OV:0
Joseph Woll (R)	AGE:24	PO:53	OV:0

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	Lien
Andrei Buyalsky	Flyers	2021	104
Anton Olsson	Flyers	2021	82
Artur Kayumov	Flyers	2	69
Jack Hughes	Flyers	2022	32
Jan Mysak	Flyers	2020	24
Josh Brook	Flyers	3	68	Lien
Ludwig Persson	Flyers	2022	104
Matthew Samoskevich	Flyers	2021	38
Nick Malik	Flyers	2020	90
Nolan Allan	Flyers	2021	41
Paul Ludwinski	Flyers	2022	60
Tristan Luneau	Flyers	2022	38
Tyler Boucher	Flyers	2021	16
Zion Nybeck	Flyers	2020	46

Choix au repêchage

Année	R1	R2	R3	R4	R5
2023
2024
2025
2026
2027

La base de données des nouvelles n'a pas été trouvée. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.

[2022-09-24 07:41:41] - Offer from Flyers for Sean Monahan has been refused.
[2022-09-24 07:41:38] - Offer from Flyers for Phil Kessel has been refused.
[2022-09-24 07:41:33] - Offer from Flyers for Mike Matheson has been refused.
[2022-09-24 07:41:30] - Offer from Flyers for John Hayden has been refused.
[2022-09-24 07:40:49] - Alex Goligoski signed with Flyers for 1 000 000 $ for 1 year(s) / Option : No Trade.
[2022-09-24 07:40:49] - Alex Goligoski was added to Flyers.
[2022-09-19 21:42:35] - Zach Parise signed with Flyers for 1 500 000 $ for 1 year(s) / Option : No Trade.
[2022-09-19 21:42:35] - Zach Parise was added to Flyers.
[2022-09-19 21:41:40] - Tyce Thompson signed with Flyers for 1 125 000 $ for 1 year(s) / Option : No Trade.
[2022-09-19 21:41:40] - Tyce Thompson was added to Flyers.
[2022-09-19 21:38:13] - Michael Sgarbossa signed with Flyers for 750 000 $ for 3 year(s) / Option : No Trade.
[2022-09-19 21:38:13] - Michael Sgarbossa was added to Flyers.
[2022-09-19 21:35:23] - Josiah Slavin signed with Flyers for 925 000 $ for 2 year(s) / Option : No Trade.
[2022-09-19 21:35:23] - Josiah Slavin was added to Flyers.
[2022-09-19 21:28:44] - Brandon Gignac signed with Flyers for 921 666 $ for 2 year(s) / Option : No Trade.
[2022-09-19 21:28:44] - Brandon Gignac was added to Flyers.
[2022-09-19 21:27:48] - Andreas Johnsson signed with Flyers for 3 400 000 $ for 2 year(s).
[2022-09-19 21:27:48] - Andreas Johnsson was added to Flyers.
[2022-09-16 22:49:12] - Josh Morrissey signed with Flyers for 6 250 000 $ for 3 year(s) / Option : No Trade & Signing Bonus of 1 000 000 $.
[2022-09-16 22:49:12] - Josh Morrissey was added to Flyers.
[2022-09-16 22:46:27] - Josh Anderson signed with Flyers for 5 500 000 $ for 3 year(s) / Option : No Trade & Signing Bonus of 2 000 000 $.
[2022-09-16 22:46:27] - Josh Anderson was added to Flyers.
[2022-09-16 22:20:10] - Ryan Johansen signed with Flyers for 8 000 000 $ for 3 year(s) / Option : No Trade.
[2022-09-16 22:20:10] - Ryan Johansen was added to Flyers.
[2022-09-09 17:09:40] - Tyler Toffoli signed with Flyers for 4 250 000 $ for 3 year(s) / Option : 1 Way Contract & No Trade & Signing Bonus of 3 000 000 $.
[2022-09-09 17:09:40] - Tyler Toffoli was added to Flyers.
[2022-09-09 16:14:41] - Erik Haula signed with Flyers for 2 375 000 $ for 2 year(s) / Option : No Trade & Signing Bonus of 1 000 000 $.
[2022-09-09 16:14:41] - Erik Haula was added to Flyers.
[2022-08-30 20:44:04] - Jakob Ragnarsson has been deleted from Flyers.
[2022-08-30 20:44:00] - Lenni Killinen has been deleted from Flyers.
[2022-08-30 20:43:56] - Jordan Sambrook has been deleted from Flyers.
[2022-08-30 20:43:52] - Danil Yurtaykin has been deleted from Flyers.
[2022-08-30 20:43:47] - Luke Green has been deleted from Flyers.
[2022-08-30 20:43:44] - Reece Willcox has been deleted from Flyers.
[2022-08-30 20:43:40] - Valentin Zykov has been deleted from Flyers.
[2022-07-24 20:06:59] - Flyers drafts Ludwig Persson as the #104 overall pick in the Entry Draft of year 2022.
[2022-07-16 10:36:39] - Flyers drafts Paul Ludwinski as the #60 overall pick in the Entry Draft of year 2022.

[2022-10-13 20:54:57] Successfully loaded Flyers lines done with STHS Client - 3.3.3.3

Pas de blessure ou de suspension.

Flyers Leaders statistiques (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

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

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

Flyers Leaders statistiques (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

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

	Flyers
	GP: 2 \| W: 1 \| L: 0 \| OTL: 1 \| P: 3 GF: 8 \| GA: 7 \| PP%: 25.00% \| PK%: 50.00% DG: Yannick Bernier \| Morale : 50 \| Moyenne d’équipe : N/A Prochains matchs #27 vs Golden Knights