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

Centre de jeu
	Flyers 24-17-5, 53pts	3	FINAL	4	Coyotes 24-19-2, 50pts

Team Stats
W1	Séquence	L1
12-9-3	Fiche domicile	13-11-0
12-8-2	Fiche visiteur	11-8-2
6-1-3	Derniers 10 matchs	6-4-0
3.22	Buts par match	3.07
3.26	Buts contre par match	2.96
22.45%	Pourcentage en avantage numérique	21.09%
80.65%	Pourcentage en désavantage numérique	81.55%

Predators
18-28-4, 40pts

FINAL

Flyers
24-17-5, 53pts

Team Stats
W1	Séquence	W1
10-13-2	Fiche domicile	12-9-3
8-15-2	Fiche visiteur	12-8-2
5-4-1	Derniers 10 matchs	6-1-3
2.82	Buts par match	3.22
3.52	Buts contre par match	3.26
14.72%	Pourcentage en avantage numérique	22.45%
84.28%	Pourcentage en désavantage numérique	80.65%

Sabres
24-20-5, 53pts

2023-12-09

Flyers
24-17-5, 53pts

Statistiques d’équipe
L5	Séquence	W1
15-8-2	Fiche domicile	12-9-3
9-12-3	Fiche visiteur	12-8-2
2-5-3	10 derniers matchs	6-1-3
3.27	Buts par match	3.22
3.12	Buts contre par match	3.22
21.79%	Pourcentage en avantage numérique	22.45%
84.11%	Pourcentage en désavantage numérique	80.65%

Flyers
24-17-5, 53pts

2023-12-11

Hurricanes
17-27-5, 39pts

Statistiques d’équipe
W1	Séquence	W1
12-9-3	Fiche domicile	8-15-1
12-8-2	Fiche visiteur	9-12-4
6-1-3	10 derniers matchs	4-5-1
3.22	Buts par match	2.65
3.26	Buts contre par match	2.65
22.45%	Pourcentage en avantage numérique	14.97%
80.65%	Pourcentage en désavantage numérique	73.87%

Sharks
25-18-4, 54pts

2023-12-14

Flyers
24-17-5, 53pts

Statistiques d’équipe
OTW2	Séquence	W1
13-8-3	Fiche domicile	12-9-3
12-10-1	Fiche visiteur	12-8-2
6-4-0	10 derniers matchs	6-1-3
3.53	Buts par match	3.22
3.19	Buts contre par match	3.22
22.86%	Pourcentage en avantage numérique	22.45%
77.54%	Pourcentage en désavantage numérique	80.65%

Meneurs d'équipe
	Buts Brad Marchand 21	Passes Paul Stastny 27

	Points Paul Stastny 46	Plus/Moins Brad Marchand 8

	Victoires Ben Bishop 19	Pourcentage d’arrêts Louis Domingue 0.904

Statistiques d’équipe
Buts pour 148 3.22 GFG	Tirs pour 1484 32.26 Avg	Pourcentage en avantage numérique 22.4% 44 GF	Début de zone offensive 43.0%
Buts contre 150 3.26 GAA	Tirs contre 1321 28.72 Avg	Pourcentage en désavantage numérique 80.6%% 30 GA	Début de la zone défensive 38.8%

Informations de l'équipe
	Directeur général	Alexandre Fortier
	Entraîneur	Dan Bylsma
	Division	Division Métropolitaine
	Conférence	Conference Est
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Wachovia Center
	Capacité	20,000
	Assistance	19,279
	Billets de saison	8,000
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	31
	Limite contact	51 / 55
	Espoirs	13
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	75,700,000$
	Plafond salarial disponible	1,200,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	40,956,167$
	Dépenses annuelles à ce jour	44,103,264$
	Revenus de la saison estimés	29,010,618$
	Dépenses de la saison estimées	31,819,756$
	Compte bancaire actuel	29,152,573$
	Compte bancaire projeté	26,881,908$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP	Âge	Contrat	Salaire
1	Paul Stastny	X				100.00	74	41	84	62	71	94	91	93	92	93	85	81	83	99	99	24	54	79		0	37	1	9,000,000$
2	Brad Marchand		X			100.00	74	47	72	71	70	94	89	85	68	88	89	75	87	99	99	33	65	77		0	35	3	8,250,000$
3	Jaden Schwartz		X			100.00	64	49	91	71	71	90	87	88	65	86	86	77	78	88	94	52	63	76		0	31	2	7,000,000$
4	Nazem Kadri	X				100.00	76	46	86	71	72	92	92	79	81	82	80	74	78	98	72	46	62	74		0	33	2	6,000,000$
5	Pavel Buchnevich			X		100.00	67	45	83	74	72	90	91	80	67	81	78	77	74	82	79	58	64	73		0	28	4	6,500,000$
6	Nail Yakupov			X		100.00	45	36	99	70	71	88	92	86	62	85	85	73	82	81	76	55	64	73		0	30	2	5,500,000$
7	Trevor Zegras	X				100.00	66	45	83	77	68	86	90	73	70	77	74	71	77	59	67	70	64	69		0	22	2	900,000$
8	Nic Dowd			X		100.00	73	45	87	74	71	79	81	74	76	72	73	76	71	69	67	42	52	69	N	0	33	2	900,000$
9	Max Comtois		X			100.00	73	52	82	74	74	82	92	73	67	72	73	74	74	62	63	68	62	68		0	24	1	900,000$
10	Scott Wilson	X				100.00	68	43	93	71	70	72	90	65	77	72	71	75	69	83	56	50	69	67		0	31	1	1,700,000$
11	Brendan Perlini		X			100.00	66	45	87	72	73	74	83	70	71	70	69	71	60	83	57	60	63	66		0	27	2	1,700,000$
12	Alexey Toropchenko			X		100.00	76	45	82	73	71	72	76	71	67	61	69	77	64	48	46	68	64	64		0	24	2	900,000$
13	Quinn Hughes				X	100.00	65	45	90	81	70	93	91	87	45	88	76	74	67	72	77	72	64	74		0	24	1	900,000$
14	Anthony DeAngelo				X	100.00	67	45	84	77	72	87	89	83	45	82	81	77	71	76	70	62	64	73		0	28	2	5,500,000$
15	Torey Krug				X	100.00	59	36	96	69	69	82	87	82	45	80	76	79	65	79	77	41	64	72		0	32	1	5,000,000$
16	Ben Chiarot				X	100.00	72	45	82	74	76	88	86	75	45	72	68	81	66	74	69	46	64	71	N	0	32	1	900,000$
17	K'andre Miller				X	100.00	74	46	85	74	75	86	90	80	45	77	70	76	66	65	60	70	65	71		0	23	2	900,000$
18	Filip Hronek				X	100.00	73	51	81	79	71	86	89	65	45	75	73	79	62	66	59	66	64	70		0	26	2	4,000,000$
Rayé
Équipe Mineure
1	Filip Chlapik	X				98.00	71	45	73	70	71	70	71	69	66	70	69	69	66	51	47	60	28	63		0	26	1	750,000$
2	Zachary Senyshyn			X		96.00	69	55	89	72	71	74	74	66	63	66	68	71	66	51	47	60	44	63		0	26	1	750,000$
3	Marek Tvrdon			X		99.00	66	46	86	69	75	68	65	69	61	65	67	66	65	45	45	53	40	62		0	30	2	1,000,000$
4	Erik Karlsson (foward)		X			99.00	60	45	93	73	66	70	68	66	61	66	61	64	60	48	45	59	35	60		0	29	2	1,000,000$
5	Spencer Watson	X				100.00	56	45	92	72	65	66	68	64	61	59	62	68	60	49	45	58	19	59		0	27	1	800,000$
6	Peter Regin		X			100.00	59	41	88	65	70	59	60	64	63	60	59	66	58	62	55	25	17	59		0	37	2	1,000,000$
7	Graham Knott		X			100.00	64	45	81	68	71	68	70	62	60	59	62	63	59	48	45	58	19	59		0	26	1	800,000$
8	Nathan Noel			X		100.00	58	45	57	55	55	54	57	53	55	53	52	55	55	49	45	60	19	50		0	26	1	1,000,000$
9	Jakub Zboril				X	100.00	70	45	85	77	72	82	85	72	45	74	62	71	56	56	47	66	26	66		0	26	1	900,000$
10	Robin Salo				X	100.00	63	45	91	73	69	78	76	71	45	72	69	71	60	48	45	68	35	65		0	25	2	900,000$
11	Kale Clague				X	100.00	63	45	85	72	69	77	82	69	45	72	69	69	60	53	46	60	35	64		0	25	2	900,000$
12	Filip Westerlund (R)				X	100.00	66	50	86	72	68	70	70	60	45	62	62	67	57	45	45	60	28	61		0	24	3	750,000$
13	Brycen Martin				X	100.00	65	51	80	72	72	71	68	63	45	62	62	65	54	52	46	60	17	61		0	27	3	800,000$
14	Ben Thomas				X	100.00	66	48	89	70	69	69	71	58	45	63	63	64	57	50	46	60	19	60		0	27	1	750,000$
15	Jesper Boqvist	X				97.00	64	45	91	73	69	78	90	71	66	74	72	69	69	58	46	68	32	66		0	25	2	900,000$
16	Kiefer Sherwood		X			100.00	65	45	97	72	70	68	70	69	76	68	67	69	66	59	47	59	20	64		0	28	3	1,200,000$
17	Ivan Chekhovich (R)		X			94.00	64	45	90	72	67	70	70	68	66	70	70	64	64	45	45	60	33	63		0	24	3	750,000$
18	Pascal Laberge	X				100.00	65	45	85	72	68	72	72	71	72	66	67	67	61	48	47	60	34	62		0	25	2	750,000$
19	Justin Kea	X				100.00	74	56	67	68	76	69	72	64	71	64	64	64	59	56	52	48	34	62		0	29	3	900,000$
20	Kirill Slepets (R)			X		100.00	63	45	90	72	65	70	70	66	66	65	63	68	60	45	45	60	36	61		0	24	3	750,000$
21	Scott Timmins	X				100.00	54	42	87	68	70	72	73	61	67	60	59	66	64	61	56	40	19	60		0	34	1	800,000$
22	Tim Bozon			X		100.00	60	45	85	69	72	69	69	61	64	58	60	68	60	53	49	53	26	59		0	29	1	800,000$
23	Jakub Izacky		X			100.00	60	42	81	70	65	61	66	62	62	59	62	68	62	56	54	52	19	59		0	30	3	500,000$
24	Joel Mustonen		X			98.94	54	43	90	71	66	66	77	62	63	60	60	65	60	61	49	51	28	59		0	31	2	500,000$
25	Rob O'Gara				X	79.48	65	43	91	70	74	76	75	69	45	72	63	70	56	59	52	52	29	65		0	30	2	1,300,000$
26	Maxwell Gildon (R)				X	92.71	65	44	85	72	68	70	70	66	45	66	64	72	56	45	45	60	28	62		0	24	3	750,000$
27	Johan Motin				X	100.00	63	44	84	67	72	66	70	62	45	59	59	67	59	60	45	41	18	60		0	34	1	800,000$
28	Ryan Rehill				X	100.00	85	73	54	65	75	65	56	57	45	57	54	66	54	52	52	56	20	59		0	28	3	500,000$

	MOYENNE D’ÉQUIPE					98.96	66	46	85	71	70	76	78	70	60	70	68	70	65	62	57	55	41	65

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	Ben Bishop	100.00	77	92	95	83	83	90	91	91	89	90	92	99	99	27	21	77	0	37	1	6,500,000$
2	Louis Domingue	100.00	79	77	75	80	80	80	87	83	84	87	75	65	65	50	35	68	0	31	2	2,750,000$
Rayé
Équipe Mineure
1	Mattias Modig	100.00	73	65	65	72	72	66	69	70	66	68	74	78	75	28	40	60	0	36	1	800,000$
2	Dan Blackburn	96.00	70	67	67	75	71	64	64	64	64	65	69	93	88	10	17	60	0	40	1	1,000,000$
3	Marek Langhamer	97.00	78	84	78	79	76	75	82	74	74	76	79	49	56	54	19	62	0	29	3	900,000$

	MOYENNE D’ÉQUIPE	98.60	75	77	76	78	76	75	79	76	75	77	78	77	77	34	26	65

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dan Bylsma	93	84	82	89	98	99	75	USA	54	5	500,000$

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	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Paul Stastny	Flyers	C	43	19	27	46	1	16	0	51	81	139	49	106	13.67%	8	825	19.21	6	10	16	39	147	0	1	1	3	54	3	1	53.47%	1111	0	1.11	0	1	0	0	1	4	6
2	Brad Marchand	Flyers	LW	46	21	22	43	8	45	5	88	30	188	50	110	11.17%	5	855	18.59	5	7	12	51	158	0	0	0	0	8	4	3	51.47%	68	0	1.01	1	6	0	1	4	1	4
3	Jaden Schwartz	Flyers	LW	49	14	20	34	3	15	5	19	45	165	65	128	8.48%	16	882	18.01	3	6	9	38	157	0	0	0	1	38	0	1	46.55%	58	1	0.77	1	1	1	0	2	2	1
4	Quinn Hughes	Flyers	D	46	6	27	33	-13	16	0	35	49	75	23	48	8.00%	39	968	21.06	3	10	13	44	161	0	0	0	0	11	1	0	0%	0	0	0.68	0	0	0	0	1	3	0
5	Nail Yakupov	Flyers	RW	46	16	17	33	8	2	0	0	42	131	38	112	12.21%	6	825	17.95	6	6	12	33	160	0	0	0	0	3	1	0	44.00%	75	1	0.80	3	6	0	0	3	3	2
6	Anthony DeAngelo	Flyers	D	46	7	22	29	-11	26	0	46	34	93	34	53	7.53%	64	990	21.52	4	6	10	52	154	0	0	0	0	47	0	1	0%	0	0	0.59	0	0	0	0	0	1	1
7	K'andre Miller	Flyers	D	46	4	23	27	-8	35	5	57	31	44	20	41	9.09%	52	930	20.24	3	8	11	25	118	0	0	0	1	113	1	0	0%	0	0	0.58	0	0	0	1	0	1	2
8	Pavel Buchnevich	Flyers	RW	46	9	17	26	-9	8	0	42	52	107	43	78	8.41%	9	823	17.90	4	10	14	28	153	0	0	0	3	75	2	2	45.45%	66	0	0.63	0	2	0	0	2	1	2
9	Nazem Kadri	Flyers	C	49	10	16	26	-7	20	0	63	77	134	33	91	7.46%	13	918	18.74	5	8	13	42	156	0	0	0	0	72	1	0	52.40%	1063	0	0.57	2	3	0	0	2	0	2
10	Trevor Zegras	Flyers	C	46	7	16	23	1	16	0	50	55	89	25	54	7.87%	6	790	17.19	2	5	7	26	159	0	0	0	0	0	1	2	45.31%	640	0	0.58	0	0	0	0	0	2	3
11	Torey Krug	Flyers	D	46	7	13	20	5	20	0	15	37	39	9	30	17.95%	39	866	18.83	1	0	1	7	43	0	0	0	0	110	1	1	0%	0	0	0.46	0	0	0	0	3	1	0
12	Filip Hronek	Flyers	D	46	3	11	14	-4	34	0	47	33	32	7	27	9.38%	44	824	17.93	0	0	0	0	5	1	0	1	2	80	0	0	0%	0	0	0.34	0	0	0	0	1	0	2
13	Alexey Toropchenko	Flyers	RW	46	3	8	11	-11	31	5	35	18	45	14	37	6.67%	4	491	10.69	0	1	1	1	5	0	0	0	0	0	0	0	27.78%	36	0	0.45	0	0	1	0	0	0	0
14	Ben Chiarot	Flyers	D	46	2	8	10	-5	44	0	58	30	25	6	13	8.00%	46	819	17.81	0	0	0	0	4	0	0	0	1	103	0	1	0%	0	0	0.24	0	0	0	0	0	1	0
15	Nic Dowd	Flyers	RW	42	3	5	8	-1	4	0	24	14	44	16	27	6.82%	3	430	10.25	0	0	0	0	0	0	0	0	0	0	0	0	65.22%	23	0	0.37	0	0	0	0	0	0	0
16	Scott Wilson	Flyers	C	46	5	3	8	-9	0	0	15	48	34	12	19	14.71%	9	445	9.69	1	0	1	1	2	0	1	1	2	120	0	0	47.64%	487	0	0.36	0	0	0	0	0	0	0
17	Max Comtois	Flyers	LW	45	3	4	7	-16	27	5	37	20	68	15	42	4.41%	3	503	11.19	0	0	0	1	7	0	0	0	2	63	1	0	44.00%	50	0	0.28	0	0	0	1	0	0	0
18	Brendan Perlini	Flyers	LW	23	3	1	4	-4	2	0	8	8	13	2	9	23.08%	0	159	6.92	0	0	0	0	1	0	0	0	0	0	1	0	50.00%	8	0	0.50	0	0	0	0	0	1	0
19	Jesper Boqvist	Phantoms (Phi)	C	3	0	1	1	0	0	0	0	3	4	1	3	0%	0	37	12.52	0	0	0	0	0	0	0	0	0	0	0	0	45.45%	44	0	0.53	0	0	0	0	0	0	0
20	Filip Chlapik	Phantoms (Phi)	C	1	0	0	0	0	0	0	0	1	0	0	0	0%	0	11	11.03	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0	0	0	0
21	Zachary Senyshyn	Phantoms (Phi)	RW	4	0	0	0	-3	5	5	3	1	2	0	0	0%	1	44	11.13	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	0	1	0	0	0
Statistiques d’équipe totales ou en moyenne				811	142	261	403	-75	366	30	693	709	1471	462	1028	9.65%	367	13444	16.58	43	77	120	388	1600	1	2	3	15	905	17	12	50.13%	3732	2	0.60	7	19	2	4	19	21	25

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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ben Bishop	Flyers	39	19	13	3	0.885	3.23	2082	10	1	112	978	2	2	0.813	16	38	7	1	5	0
2	Louis Domingue	Flyers	28	10	5	2	0.904	2.76	1151	0	2	53	554	1	0	0.800	10	17	29	4	1	1
Statistiques d’équipe totales ou en moyenne			67	29	18	5	0.892	3.06	3234	10	3	165	1532	3	2		26	55	36	5	6	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10	Lien
Alexey Toropchenko	Flyers	RW	24	1999-06-25	No	187 Lbs	6 ft3	No	No	N/A	No	Yes	2	Pro & Farm	900,000$	900,000$	375,824$	No	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Anthony DeAngelo	Flyers	D	28	1995-10-24	No	180 Lbs	5 ft11	No	No	N/A	No	No	2	Pro & Farm	5,500,000$	5,500,000$	2,296,703$	No	5,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Ben Bishop	Flyers	G	37	1986-11-21	No	215 Lbs	6 ft7	No	No	N/A	No	No	1	Pro & Farm	6,500,000$	6,500,000$	2,714,286$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Ben Chiarot	Flyers	D	32	1991-05-09	No	232 Lbs	6 ft3	Yes	No	N/A	No	No	1	Pro & Farm	900,000$	900,000$	375,824$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Brad Marchand	Flyers	LW	35	1988-05-11	No	188 Lbs	5 ft10	No	No	N/A	No	No	3	Pro Only	8,250,000$	8,250,000$	3,445,055$	No	8,250,000$	8,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Brendan Perlini	Flyers	LW	27	1996-04-27	No	211 Lbs	6 ft3	No	No	N/A	No	Yes	2	Pro & Farm	1,700,000$	1,700,000$	709,890$	No	1,700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Filip Hronek	Flyers	D	26	1997-11-02	No	183 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	4,000,000$	4,000,000$	1,670,330$	No	4,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Jaden Schwartz	Flyers	LW	31	1992-06-25	No	190 Lbs	5 ft10	No	No	N/A	No	No	2	Pro & Farm	7,000,000$	7,000,000$	2,923,077$	No	7,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
K'andre Miller	Flyers	D	23	2000-01-21	No	210 Lbs	6 ft5	No	No	N/A	No	No	2	Pro & Farm	900,000$	900,000$	375,824$	No	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Louis Domingue	Flyers	G	31	1992-03-06	No	208 Lbs	6 ft3	No	No	N/A	No	No	2	Pro & Farm	2,750,000$	2,750,000$	1,148,352$	No	2,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Max Comtois	Flyers	LW	24	1999-01-08	No	215 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	900,000$	900,000$	375,824$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Nail Yakupov	Flyers	RW	30	1993-10-06	No	186 Lbs	5 ft11	No	No	N/A	No	No	2	Pro & Farm	5,500,000$	5,500,000$	2,296,703$	No	5,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Nazem Kadri	Flyers	C	33	1990-10-06	No	188 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	6,000,000$	6,000,000$	2,505,495$	No	6,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Nic Dowd	Flyers	RW	33	1990-05-27	No	193 Lbs	6 ft1	Yes	No	N/A	No	No	2	Pro & Farm	900,000$	900,000$	375,824$	No	900,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Lien
Paul Stastny	Flyers	C	37	1985-12-27	No	201 Lbs	6 ft0	No	No	N/A	No	No	1	Pro Only	9,000,000$	9,000,000$	3,758,242$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Pavel Buchnevich	Flyers	RW	28	1995-04-17	No	196 Lbs	6 ft3	No	No	N/A	No	No	4	Pro & Farm	6,500,000$	6,500,000$	2,714,286$	No	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Quinn Hughes	Flyers	D	24	1999-10-14	No	170 Lbs	5 ft10	No	No	N/A	No	No	1	Pro & Farm	900,000$	900,000$	375,824$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Scott Wilson	Flyers	C	31	1992-04-24	No	183 Lbs	5 ft11	No	No	N/A	No	No	1	Pro & Farm	1,700,000$	1,700,000$	709,890$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Torey Krug	Flyers	D	32	1991-04-12	No	181 Lbs	5 ft9	No	No	N/A	No	No	1	Pro & Farm	5,000,000$	5,000,000$	2,087,912$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Trevor Zegras	Flyers	C	22	2001-03-20	No	173 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	900,000$	900,000$	375,824$	No	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	29.40	195 Lbs	6 ft1	1.80	3,785,000$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
75,700,000$	50,800,000$	14,750,000$	6,500,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jaden Schwartz	Paul Stastny	Pavel Buchnevich	30	1	2	2
2	Brad Marchand	Trevor Zegras	Nail Yakupov	30	1	2	2
3	Max Comtois	Nazem Kadri	Alexey Toropchenko	30	1	2	2
4	Brendan Perlini	Scott Wilson	Nic Dowd	10	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Anthony DeAngelo	Filip Hronek	34	1	3	1
2	K'andre Miller	Ben Chiarot	33	1	3	1
3	Quinn Hughes	Torey Krug	33	1	3	1
4	Filip Hronek	Quinn Hughes	0	1	3	1

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Brad Marchand	Paul Stastny	Jaden Schwartz	50	0	1	4
2	Nail Yakupov	Trevor Zegras	Pavel Buchnevich	50	0	2	3

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Nazem Kadri	50	0	1	4
2	Anthony DeAngelo	K'andre Miller	50	0	2	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nazem Kadri	Pavel Buchnevich	50	1	3	1
2	Scott Wilson	Max Comtois	50	1	3	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ben Chiarot	Torey Krug	50	1	3	1
2	K'andre Miller	Jaden Schwartz	50	1	3	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Nail Yakupov	50	1	2	2	Ben Chiarot	Filip Hronek	50	1	2	2
2	Jaden Schwartz	50	1	2	2	Anthony DeAngelo	K'andre Miller	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Paul Stastny	Nail Yakupov	50	0	2	3
2	Nazem Kadri	Brad Marchand	50	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Anthony DeAngelo	Quinn Hughes	50	1	2	2
2	Filip Hronek	Torey Krug	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Brad Marchand	Paul Stastny	Jaden Schwartz	Anthony DeAngelo	Quinn Hughes

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jaden Schwartz	Nazem Kadri	Nail Yakupov	Ben Chiarot	Anthony DeAngelo

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jaden Schwartz, Brad Marchand, Trevor Zegras	Jaden Schwartz, Nail Yakupov	Paul Stastny

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Filip Hronek, Torey Krug, K'andre Miller	Torey Krug	Anthony DeAngelo, Quinn Hughes

Tirs de pénalité
Brad Marchand, Nail Yakupov, Nazem Kadri, Pavel Buchnevich, Trevor Zegras

Gardien
#1 : Ben Bishop, #2 : Louis Domingue

Lignes d’attaque personnalisées en prolongation
Brad Marchand, Nail Yakupov, Trevor Zegras, Nazem Kadri, Pavel Buchnevich, , , Jaden Schwartz, Scott Wilson, ,

Lignes de défense personnalisées en prolongation
Anthony DeAngelo, Quinn Hughes, Filip Hronek, Torey Krug, K'andre Miller

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	BlueJacket	2	2	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	15	23	0	0	1	4	3	0	55	15	18	22	0	51	13	18	30	8	3	37.50%	7	2	71.43%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	48	33	45	14	26	13
2	Blues	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	2	0	3	0	40	12	16	12	0	25	7	6	15	8	1	12.50%	2	0	100.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	26	18	19	7	13	7
3	Bruins	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	0	0	1	0	27	8	8	11	0	26	9	10	19	4	0	0.00%	5	2	60.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	24	17	22	7	12	6
4	Canadiens	2	1	0	0	0	1	0	0	6	6	0	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	1	0	0	6	6	0	3	0.750	6	10	16	0	0	3	1	2	0	65	25	21	17	2	56	13	4	22	12	3	25.00%	1	0	100.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	48	33	47	15	26	12
5	Canucks	2	1	0	0	0	1	0	0	6	4	2	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	1	3	3	0.750	6	11	17	0	0	5	0	1	0	86	33	21	32	0	37	22	19	27	12	0	0.00%	5	1	80.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	54	38	42	14	24	13
6	Capitals	1	1	0	0	0	0	0	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	2	6	2	1.000	8	12	20	0	0	6	0	2	0	44	17	17	10	0	21	5	2	17	3	1	33.33%	1	0	100.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	26	18	20	7	13	7
7	Coyotes	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	1	0	2	0	29	12	5	12	0	40	7	8	12	1	1	100.00%	3	1	66.67%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	23	16	24	6	12	5
8	Devils	2	0	0	0	0	0	1	1	6	6	0	2	0	0	0	0	0	1	1	6	6	0	0	0	0	0	0	0	0	0	0	0	0	3	0.750	6	9	15	0	0	0	2	3	2	57	19	19	12	13	67	22	36	49	9	1	11.11%	17	2	88.24%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	46	29	56	16	26	13
9	Ducks	1	1	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	1	0	1	2	1.000	1	2	3	0	1	0	0	1	0	25	5	7	13	0	31	9	6	11	4	0	0.00%	3	0	100.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	25	18	22	6	11	5
10	Flames	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	0	0	0	0	33	17	7	9	0	31	13	17	18	4	0	0.00%	5	2	60.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	22	14	24	8	12	6
11	GoldenKnights	2	1	0	0	0	0	0	1	7	6	1	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	0	0	1	7	6	1	3	0.750	7	14	21	0	0	2	2	3	1	60	21	15	23	5	51	11	20	31	6	2	33.33%	10	2	80.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	50	33	46	15	28	14
12	Hurricanes	3	1	2	0	0	0	0	0	10	13	-3	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	4	7	-3	2	0.333	10	19	29	0	0	4	4	2	0	91	23	35	33	0	96	18	35	41	12	5	41.67%	14	1	92.86%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	71	50	70	21	37	18
13	Islanders	3	1	2	0	0	0	0	0	9	14	-5	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	2	7	-5	2	0.333	9	17	26	1	0	3	4	2	0	100	33	39	28	0	96	26	22	44	13	1	7.69%	10	2	80.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	72	49	67	23	39	19
14	Kings	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	4	7	11	0	0	2	1	1	0	29	12	4	13	0	35	11	8	11	4	1	25.00%	4	2	50.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	23	15	24	7	12	6
15	Kraken	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	1	1	0	40	12	15	13	0	32	10	10	19	5	1	20.00%	4	1	75.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	25	18	22	7	11	5
16	Lightning	4	3	1	0	0	0	0	0	15	11	4	3	2	1	0	0	0	0	0	12	11	1	1	1	0	0	0	0	0	0	3	0	3	6	0.750	15	29	44	0	1	4	8	3	0	142	43	40	59	0	130	34	20	64	16	7	43.75%	8	0	100.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	95	65	94	29	50	25
17	MapleLeafs	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	0	0	39	19	8	12	0	26	4	8	9	6	1	16.67%	4	1	75.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	27	20	21	6	11	6
18	Oilers	1	0	0	0	0	1	0	0	4	5	-1	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	7	11	0	0	1	2	1	0	26	6	12	5	3	31	6	4	13	2	1	50.00%	2	1	50.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	25	18	23	7	14	7
19	Panthers	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	4	3	1	2	1.000	4	6	10	0	0	2	1	0	1	29	12	9	5	6	27	9	4	11	5	2	40.00%	2	0	100.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	27	18	23	8	13	7
20	Penguins	2	1	1	0	0	0	0	0	7	7	0	2	1	1	0	0	0	0	0	7	7	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	7	11	18	0	0	2	1	4	0	56	15	18	23	0	44	15	21	35	17	6	35.29%	7	1	85.71%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	48	32	47	13	23	12
21	Predators	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	10	15	0	0	2	3	0	0	63	28	21	14	0	59	17	10	33	5	1	20.00%	5	1	80.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	47	33	45	14	27	13
22	Rangers	4	2	1	0	0	0	1	0	15	13	2	2	1	0	0	0	0	1	0	8	5	3	2	1	1	0	0	0	0	0	7	8	-1	6	0.750	15	25	40	1	0	10	3	1	1	145	48	42	53	4	106	31	27	71	13	2	15.38%	11	4	63.64%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	104	74	89	29	51	26
23	RedWings	2	1	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	2	1	1	2	0.500	4	7	11	0	0	1	2	1	0	61	19	24	18	0	63	16	18	33	8	1	12.50%	9	1	88.89%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	48	33	46	15	25	12
24	Sabres	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	3	0	3	0	37	12	14	11	0	36	5	8	16	6	1	16.67%	4	1	75.00%	1	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	26	18	21	6	12	6
25	Senators	3	1	2	0	0	0	0	0	7	9	-2	2	0	2	0	0	0	0	0	3	7	-4	1	1	0	0	0	0	0	0	4	2	2	2	0.333	7	14	21	0	0	2	2	3	0	76	29	23	24	0	70	26	23	44	10	2	20.00%	8	2	75.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	71	49	69	21	38	20
26	Wild	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	3	6	0	0	0	1	1	1	29	6	11	11	4	34	9	10	11	3	0	0.00%	4	0	100.00%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	27	18	23	7	13	6
	Total	46	20	17	0	0	3	4	2	148	150	-2	24	10	9	0	0	2	2	1	79	80	-1	22	10	8	0	0	1	2	1	69	70	-1	53	0.576	148	263	411	2	2	57	43	44	6	1484	501	469	495	37	1321	368	374	706	196	44	22.45%	155	30	80.65%	1	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	1141	789	1062	341	592	300
	_Since Last GM Reset	46	20	17	0	0	3	4	2	148	150	-2	24	10	9	0	0	2	2	1	79	80	-1	22	10	8	0	0	1	2	1	69	70	-1	53	0.576	148	263	411	2	2	57	43	44	6	1484	501	469	495	37	1321	368	374	706	196	44	22.45%	155	30	80.65%	1	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	1141	789	1062	341	592	300
	_Vs Conference	32	15	12	0	0	1	3	1	108	107	1	19	8	8	0	0	0	2	1	63	64	-1	13	7	4	0	0	1	1	0	45	43	2	38	0.594	108	191	299	2	1	42	33	30	4	1024	337	335	338	25	915	246	256	505	142	36	25.35%	108	19	82.41%	1	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	787	544	743	238	411	207
	_Vs Division	17	8	6	0	0	0	2	1	63	61	2	11	5	3	0	0	0	2	1	38	34	4	6	3	3	0	0	0	0	0	25	27	-2	21	0.618	63	108	171	2	0	26	18	17	3	548	170	188	181	17	481	130	161	287	75	19	25.33%	67	12	82.09%	0	870	1731	50.26%	802	1560	51.41%	393	731	53.76%	418	288	397	126	219	111

			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
46	53	W1	148	263	411	1484	1321	368	374	706	2	2

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
46	20	17	0	3	4	2	148	150

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	10	9	0	2	2	1	79	80

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	10	8	0	1	2	1	69	70

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
6	1	0	3	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
196	44	22.45%	155	30	80.65%	1

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
501	469	495	37	57	43	44	6

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
870	1731	50.26%	802	1560	51.41%	393	731	53.76%

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
1141	789	1062	341	592	300

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 - 2023-08-25	9	Sabres	3	Flyers	6	BW			Sommaire du match
4 - 2023-08-28	32	Flyers	4	Panthers	3	AW	X	X	Sommaire du match
7 - 2023-08-31	52	Islanders	5	Flyers	3	BL			Sommaire du match
9 - 2023-09-02	69	Flyers	8	Capitals	2	AW			Sommaire du match
12 - 2023-09-05	89	Lightning	4	Flyers	2	BL			Sommaire du match
15 - 2023-09-08	102	Flyers	3	Lightning	0	AW			Sommaire du match
17 - 2023-09-10	116	Lightning	4	Flyers	6	BW			Sommaire du match
19 - 2023-09-12	128	Flyers	1	Bruins	4	AL			Sommaire du match
21 - 2023-09-14	143	Flyers	2	RedWings	1	AW			Sommaire du match
23 - 2023-09-16	159	RedWings	4	Flyers	2	BL			Sommaire du match
25 - 2023-09-18	170	Flyers	4	Canadiens	3	AW			Sommaire du match
27 - 2023-09-20	192	Senators	3	Flyers	1	BL			Sommaire du match
30 - 2023-09-23	213	Rangers	1	Flyers	2	BW	X	X	Sommaire du match
32 - 2023-09-25	227	Flyers	4	BlueJacket	3	AW			Sommaire du match
35 - 2023-09-28	249	MapleLeafs	5	Flyers	2	BL			Sommaire du match
37 - 2023-09-30	260	Flyers	4	Hurricanes	7	AL			Sommaire du match
39 - 2023-10-02	276	Hurricanes	5	Flyers	3	BL			Sommaire du match
43 - 2023-10-06	303	Kraken	4	Flyers	2	BL			Sommaire du match
45 - 2023-10-08	316	Flyers	4	Senators	2	AW			Sommaire du match
47 - 2023-10-10	334	Senators	4	Flyers	2	BL			Sommaire du match
49 - 2023-10-12	349	Flyers	0	Flames	4	AL			Sommaire du match
51 - 2023-10-14	365	Flyers	1	Ducks	0	AW			Sommaire du match
52 - 2023-10-15	375	Islanders	2	Flyers	4	BW			Sommaire du match
55 - 2023-10-18	391	Flyers	3	GoldenKnights	4	AL	X	X	Sommaire du match
56 - 2023-10-19	401	Rangers	4	Flyers	6	BW			Sommaire du match
60 - 2023-10-23	430	Hurricanes	1	Flyers	3	BW			Sommaire du match
63 - 2023-10-26	446	Flyers	2	Predators	4	AL			Sommaire du match
65 - 2023-10-28	460	Flyers	3	Wild	2	AW	X	X	Sommaire du match
66 - 2023-10-29	469	Lightning	3	Flyers	4	BW			Sommaire du match
68 - 2023-10-31	492	Penguins	4	Flyers	2	BL			Sommaire du match
72 - 2023-11-04	516	Flyers	2	Islanders	7	AL			Sommaire du match
73 - 2023-11-05	526	Devils	5	Flyers	4	BL	X	X	Sommaire du match
76 - 2023-11-08	549	Flyers	4	GoldenKnights	2	AW			Sommaire du match
77 - 2023-11-09	558	Devils	1	Flyers	2	BW	X	X	Sommaire du match
80 - 2023-11-12	578	Flyers	4	Rangers	6	AL			Sommaire du match
82 - 2023-11-14	588	Flyers	4	Kings	6	AL			Sommaire du match
83 - 2023-11-15	597	Blues	2	Flyers	5	BW			Sommaire du match
86 - 2023-11-18	618	Flyers	2	Canadiens	3	AL	X		Sommaire du match
87 - 2023-11-19	630	Canucks	3	Flyers	2	BL	X		Sommaire du match
91 - 2023-11-23	654	BlueJacket	3	Flyers	4	BW			Sommaire du match
93 - 2023-11-25	674	Flyers	4	Canucks	1	AW			Sommaire du match
95 - 2023-11-27	685	Penguins	3	Flyers	5	BW			Sommaire du match
98 - 2023-11-30	709	Flyers	3	Rangers	2	AW			Sommaire du match
100 - 2023-12-02	718	Oilers	5	Flyers	4	BL	X		Sommaire du match
103 - 2023-12-05	743	Flyers	3	Coyotes	4	AL			Sommaire du match
104 - 2023-12-06	750	Predators	2	Flyers	3	BW			Sommaire du match
107 - 2023-12-09	778	Sabres	-	Flyers	-
109 - 2023-12-11	792	Flyers	-	Hurricanes	-
112 - 2023-12-14	810	Sharks	-	Flyers	-
114 - 2023-12-16	823	Flyers	-	BlueJacket	-
116 - 2023-12-18	843	Jets	-	Flyers	-
118 - 2023-12-20	857	Flyers	-	BlackHawks	-
119 - 2023-12-21	866	Flyers	-	Lightning	-
121 - 2023-12-23	880	MapleLeafs	-	Flyers	-
124 - 2023-12-26	898	Flyers	-	MapleLeafs	-
125 - 2023-12-27	910	Flames	-	Flyers	-
128 - 2023-12-30	930	Flyers	-	Senators	-
129 - 2023-12-31	943	GoldenKnights	-	Flyers	-
133 - 2024-01-04	970	Flyers	-	Panthers	-
134 - 2024-01-05	975	RedWings	-	Flyers	-
139 - 2024-01-10	1004	Bruins	-	Flyers	-
141 - 2024-01-12	1020	Flyers	-	Sabres	-
142 - 2024-01-13	1033	Flyers	-	Capitals	-
144 - 2024-01-15	1041	Avalanches	-	Flyers	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2024-01-19	1068	Bruins	-	Flyers	-
151 - 2024-01-22	1091	Flyers	-	Islanders	-
152 - 2024-01-23	1099	BlueJacket	-	Flyers	-
154 - 2024-01-25	1113	Flyers	-	Stars	-
156 - 2024-01-27	1132	Panthers	-	Flyers	-
158 - 2024-01-29	1143	Flyers	-	Sabres	-
160 - 2024-01-31	1162	Capitals	-	Flyers	-
162 - 2024-02-02	1174	Flyers	-	Penguins	-
165 - 2024-02-05	1195	Capitals	-	Flyers	-
166 - 2024-02-06	1198	Flyers	-	RedWings	-
167 - 2024-02-07	1207	Flyers	-	MapleLeafs	-
170 - 2024-02-10	1227	Panthers	-	Flyers	-
171 - 2024-02-11	1235	Flyers	-	Devils	-
174 - 2024-02-14	1260	Canadiens	-	Flyers	-
177 - 2024-02-17	1283	Flyers	-	Penguins	-
178 - 2024-02-18	1287	Flyers	-	Devils	-
179 - 2024-02-19	1296	Canadiens	-	Flyers	-
180 - 2024-02-20	1303	Flyers	-	Bruins	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	8000	5000	2000	4000	1000
Prix des billets	88	55	33	18	185
Assistance	180,365	119,936	47,688	95,856	18,847
Attendance PCT	93.94%	99.95%	99.35%	99.85%	78.53%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
17	19279 - 96.39%	1,706,507$	40,956,167$	20000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
44,103,264$	75,700,000$	74,600,000$	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
75,700,000$	43,812,078$	0$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
29,010,618$	76	418,681$	31,819,756$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
32,830,328$	29,152,573$	26,881,908$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
75,700,000$	1,200,000$	76,900,000$	75,700,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Brad Marchand	AGE:35	PO:33	OV:77
Jaden Schwartz	AGE:31	PO:52	OV:76
Max Comtois	AGE:24	PO:68	OV:68
Brendan Perlini	AGE:27	PO:60	OV:66
Kiefer Sherwood	AGE:28	PO:59	OV:64
Ivan Chekhovich (R)	AGE:24	PO:60	OV:63
Erik Karlsson (foward)	AGE:29	PO:59	OV:60
Graham Knott	AGE:26	PO:58	OV:59
Jakub Izacky	AGE:30	PO:52	OV:59
Joel Mustonen	AGE:31	PO:51	OV:59
Peter Regin	AGE:37	PO:25	OV:59

Paul Stastny	AGE:37	PO:24	OV:79
Nazem Kadri	AGE:33	PO:46	OV:74
Trevor Zegras	AGE:22	PO:70	OV:69
Scott Wilson	AGE:31	PO:50	OV:67
Jesper Boqvist	AGE:25	PO:68	OV:66
Filip Chlapik	AGE:26	PO:60	OV:63
Pascal Laberge	AGE:25	PO:60	OV:62
Justin Kea	AGE:29	PO:48	OV:62
Scott Timmins	AGE:34	PO:40	OV:60
Spencer Watson	AGE:27	PO:58	OV:59

Pavel Buchnevich	AGE:28	PO:58	OV:73
Nail Yakupov	AGE:30	PO:55	OV:73
Nic Dowd	AGE:33	PO:42	OV:69
Alexey Toropchenko	AGE:24	PO:68	OV:64
Zachary Senyshyn	AGE:26	PO:60	OV:63
Marek Tvrdon	AGE:30	PO:53	OV:62
Kirill Slepets (R)	AGE:24	PO:60	OV:61
Tim Bozon	AGE:29	PO:53	OV:59
Nathan Noel	AGE:26	PO:60	OV:50

Défense #1

Défense #2

Gardien

Quinn Hughes	AGE:24	PO:72	OV:74
Anthony DeAngelo	AGE:28	PO:62	OV:73
Torey Krug	AGE:32	PO:41	OV:72
K'andre Miller	AGE:23	PO:70	OV:71
Ben Chiarot	AGE:32	PO:46	OV:71
Filip Hronek	AGE:26	PO:66	OV:70
Jakub Zboril	AGE:26	PO:66	OV:66
Robin Salo	AGE:25	PO:68	OV:65

Rob O'Gara	AGE:30	PO:52	OV:65
Kale Clague	AGE:25	PO:60	OV:64
Maxwell Gildon (R)	AGE:24	PO:60	OV:62
Filip Westerlund (R)	AGE:24	PO:60	OV:61
Brycen Martin	AGE:27	PO:60	OV:61
Ben Thomas	AGE:27	PO:60	OV:60
Johan Motin	AGE:34	PO:41	OV:60
Ryan Rehill	AGE:28	PO:56	OV:59

Ben Bishop	AGE:37	PO:27	OV:77
Louis Domingue	AGE:31	PO:50	OV:68
Marek Langhamer	AGE:29	PO:54	OV:62
Mattias Modig	AGE:36	PO:28	OV:60
Dan Blackburn	AGE:40	PO:10	OV:60

Espoirs

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Astuces sur les filtres (anglais seulement)

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Lien
Arvid Bergstrom	Flyers	15	142	0	Lien
Axel Sandin-Pellikka	Flyers	15	13	0	Lien
Aydar Suniev	Flyers	15	81	0	Lien
Beckett Hendrickson	Flyers	15	139	0	Lien
Danila Yurov	Flyers	14	10
Emil Jarventie	Flyers	15	107	0	Lien
Ivan Zhigalov	Flyers	14	63
Jake Wise	Flyers	9	38
Karl Henriksson	Flyers	10	75
Maxim Strbak	Flyers	15	53	0	Lien
Ruslan Iskhakov	Flyers	9	97
Tanner Molendyk	Flyers	15	49	0	Lien
Tristan Lennox	Flyers	13	84

Choix au repêchage

Année	R1	R2	R3	R4	R5
16
17
18
19
20
Choix au repêchage conditionnel

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

Flyers Historique de transactions

[2023-11-01 12:58:41] - TRADE : From Ducks to Flyers : Y:16-RND:4-Ana, Y:16-RND:4-Phi.
[2023-10-15 19:09:27] - TRADE : From Flyers to Ducks : Linus Ullmark (73), Tyler Motte (67), Y:16-RND:4-Phi.
[2023-10-15 19:09:27] - TRADE : From Ducks to Flyers : Ben Bishop (77), Brendan Perlini (66).
[2023-10-09 20:12:33] - Marek Tvrdon signed with Flyers for $1,000,000 for 2 year(s).
[2023-10-09 20:12:33] - Marek Tvrdon was added to Flyers.
[2023-10-07 13:46:03] - TRADE : From Flyers to Avalanches : Ryan Johansen (77), Tyler Johnson (72), Y:16-RND:4-Ott.
[2023-10-07 13:46:03] - TRADE : From Avalanches to Flyers : Jaden Schwartz (76), Nazem Kadri (74).
[2023-08-20 11:41:32] - TRADE : From Rangers to Flyers : Scott Wilson (67).
[2023-08-20 11:41:32] - TRADE : From Flyers to Rangers : Y:16-RND:5-Dal.
[2023-08-20 11:40:59] - TRADE : From Stars to Flyers : Tyler Motte (67), Y:16-RND:5-Dal.
[2023-08-20 11:40:59] - TRADE : From Flyers to Stars : Y:16-RND:3-Ott.
[2023-08-08 21:18:49] - Nic Dowd signed with Flyers for $900,000 for 2 year(s) / Option : No Trade.
[2023-08-08 21:18:49] - Nic Dowd was added to Flyers.
[2023-08-08 20:32:50] - Ben Chiarot signed with Flyers for $900,000 for 1 year(s) / Option : No Trade.
[2023-08-08 20:32:50] - Ben Chiarot was added to Flyers.
[2023-07-30 13:31:23] - Arvid Bergstrom has been added to Flyers.
[2023-07-30 13:31:23] - Beckett Hendrickson has been added to Flyers.
[2023-07-30 13:31:23] - Emil Jarventie has been added to Flyers.
[2023-07-30 13:31:23] - Aydar Suniev has been added to Flyers.
[2023-07-30 13:31:23] - Maxim Strbak has been added to Flyers.
[2023-07-30 13:31:23] - Tanner Molendyk has been added to Flyers.
[2023-07-30 13:31:23] - Axel Sandin-Pellikka has been added to Flyers.
[2023-07-04 12:40:40] - Ivan Chekhovich was added to Flyers.
[2023-07-03 21:13:36] - Louis Domingue signed with Flyers for 2 750 000 $ for 2 year(s).
[2023-07-03 21:13:36] - Louis Domingue was added to Flyers.
[2023-07-03 21:13:29] - Linus Ullmark signed with Flyers for 5 850 000 $ for 3 year(s).
[2023-07-03 21:13:29] - Linus Ullmark was added to Flyers.
[2023-07-03 21:01:06] - KIRILL SLEPETS was added to Flyers.
[2023-07-03 21:01:05] - MAXWELL GILDON was added to Flyers.

[2023-12-09 15:21:28] Auto Lines Partial Function has been run for Phantoms.
[2023-12-09 15:21:28] Auto Roster Farm Only Function has been run for Flyers.
[2023-12-09 15:21:28] Phantoms roster errors : Not enough Centers available in Farm Team! 2 Dressed. 4 Required. Not enough Left Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 8 Dressed. 12 Required. Not enough Players available in Farm Team! 14 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-12-08 19:13:33] Ivan Chekhovich from Phantoms is injured from Exhaustion.
[2023-12-08 19:10:53] Auto Lines Partial Function has been run for Phantoms.
[2023-12-08 19:10:53] Auto Roster Farm Only Function has been run for Flyers.
[2023-12-08 19:10:53] Phantoms roster errors : Not enough Centers available in Farm Team! 2 Dressed. 4 Required. Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 9 Dressed. 12 Required. Not enough Players available in Farm Team! 15 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-12-07 14:58:21] Jesper Boqvist from Phantoms is back from Exhaustion.
[2023-12-06 12:52:39] Joel Mustonen from Phantoms is back from Severed Left Wrist Tendons Injury.
[2023-12-06 12:52:39] Jesper Boqvist from Phantoms is injured from Exhaustion.
[2023-12-06 12:52:33] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:38:33] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:38:04] Auto Lines Partial Function has been run for Phantoms.
[2023-12-06 12:38:04] Phantoms (Flyers) lines errors : Normal line # 3 C is empty. Normal line # 3 LW is empty. Normal line # 3 RW is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Normal line # 4 LW is empty. Extra Forward #3 is empty. Extra Defense #3 is empty. Starting Goalie is empty.
[2023-12-06 12:38:04] Auto Roster Partial Function has been run for Flyers.
[2023-12-06 12:38:04] Phantoms roster errors : Not enough Centers available in Farm Team! 3 Dressed. 4 Required. Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 10 Dressed. 12 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-12-06 12:38:01] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-06 12:36:58] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-12-04 13:00:52] Kirill Slepets from Phantoms is back from Exhaustion.
[2023-12-04 13:00:44] Auto Lines Partial Function has been run for Phantoms.
[2023-12-04 13:00:44] Auto Roster Farm Only Function has been run for Flyers.
[2023-12-04 13:00:44] Phantoms roster errors : Not enough Centers available in Farm Team! 3 Dressed. 4 Required. Not enough Right Wings available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 10 Dressed. 12 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-12-03 22:58:46] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:74.14.206.209 .
[2023-12-03 22:58:10] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:74.14.206.209 .
[2023-12-02 21:25:46] Kirill Slepets from Phantoms is injured from Exhaustion.
[2023-12-02 21:25:41] Auto Lines Partial Function has been run for Phantoms.
[2023-12-02 21:25:41] Auto Roster Farm Only Function has been run for Flyers.
[2023-12-02 21:25:41] Phantoms roster errors : Not enough Centers available in Farm Team! 3 Dressed. 4 Required. Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-12-01 21:38:50] Pascal Laberge from Phantoms is back from Exhaustion.
[2023-12-01 21:38:50] Last 7 Days Pro Star : 1 - Evander Kane of Blues (5-0-5) / 2 - Pavel Buchnevich of Flyers (2-5-7) / 3 - Mark Scheifele of Hurricanes (3-3-6)
[2023-11-30 12:41:01] Pascal Laberge from Phantoms is injured from Exhaustion.
[2023-11-30 12:40:54] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:207.167.244.182 .
[2023-11-30 12:40:23] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:207.167.244.182 .
[2023-11-28 21:03:47] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-11-28 21:03:17] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:135.19.8.94 .
[2023-11-26 19:19:56] Successfully loaded Flyers lines done with STHS Client - 3.3.9.9

Ivan Chekhovich est dehors pour 1 jours à cause de Exhaustion.
Maxwell Gildon est dehors pour 3 jours à cause de Strained Back Injury.
Rob O'Gara est dehors pour 2 semaines à cause de Right Forearm Injury.

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

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 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

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: 46 \| W: 24 \| L: 17 \| OTL: 5 \| P: 53 GF: 148 \| GA: 150 \| PP%: 22.45% \| PK%: 80.65% DG: Alexandre Fortier \| Morale : 52 \| Moyenne d’équipe : 72 Prochains matchs #778 vs Sabres