Lehigh Valley Phantoms
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension

Centre de jeu
	Flyers 41-20-8, 90pts	4	FINAL	3	Bruins 38-25-6, 82pts

Team Stats
W2	Séquence	L6
19-10-6	Fiche domicile	21-14-1
22-10-2	Fiche visiteur	17-11-5
5-3-2	Derniers 10 matchs	1-8-1
3.36	Buts par match	2.84
2.58	Buts contre par match	2.61
17.79%	Pourcentage en avantage numérique	16.21%
86.61%	Pourcentage en désavantage numérique	84.86%

Maple Leafs
35-26-6, 76pts

FINAL

Flyers
41-20-8, 90pts

Team Stats
L2	Séquence	W2
17-13-3	Fiche domicile	19-10-6
18-13-3	Fiche visiteur	22-10-2
3-7-0	Derniers 10 matchs	5-3-2
3.33	Buts par match	3.36
2.96	Buts contre par match	2.58
16.94%	Pourcentage en avantage numérique	17.79%
86.03%	Pourcentage en désavantage numérique	86.61%

Flyers
41-20-8, 90pts

Jour 133

Hurricanes
32-34-2, 66pts

Statistiques d’équipe
W2	Séquence	W5
19-10-6	Fiche domicile	16-17-2
22-10-2	Fiche visiteur	16-17-0
5-3-2	10 derniers matchs	7-3-0
3.36	Buts par match	2.94
2.58	Buts contre par match	2.94
17.79%	Pourcentage en avantage numérique	15.58%
86.61%	Pourcentage en désavantage numérique	80.09%

Bruins
38-25-6, 82pts

Jour 137

Flyers
41-20-8, 90pts

Statistiques d’équipe
L6	Séquence	W2
21-14-1	Fiche domicile	19-10-6
17-11-5	Fiche visiteur	22-10-2
1-8-1	10 derniers matchs	5-3-2
2.84	Buts par match	3.36
2.61	Buts contre par match	3.36
16.21%	Pourcentage en avantage numérique	17.79%
84.86%	Pourcentage en désavantage numérique	86.61%

Panthers
42-16-10, 94pts

Jour 138

Flyers
41-20-8, 90pts

Statistiques d’équipe
W1	Séquence	W2
23-6-4	Fiche domicile	19-10-6
19-10-6	Fiche visiteur	22-10-2
6-3-1	10 derniers matchs	5-3-2
3.62	Buts par match	3.36
2.91	Buts contre par match	3.36
16.80%	Pourcentage en avantage numérique	17.79%
80.72%	Pourcentage en désavantage numérique	86.61%

Meneurs d'équipe
	Buts Alex Ovechkin 29	Passes Ryan Hartman 44

	Points Ryan Hartman 71	Plus/Moins Patrice Bergeron 27

	Victoires Alexandar Georgiev 35	Pourcentage d’arrêts Alexandar Georgiev 0.906

Statistiques d’équipe
Buts pour 232 3.36 GFG	Tirs pour 2112 30.61 Avg	Pourcentage en avantage numérique 17.8% 45 GF	Début de zone offensive 42.2%
Buts contre 178 2.58 GAA	Tirs contre 1811 26.25 Avg	Pourcentage en désavantage numérique 86.6%% 32 GA	Début de la zone défensive 38.6%

Informations de l'équipe
	Directeur général	Jakub Hromada
	Entraîneur	John Tortorella
	Division	Metropolitan Division
	Conférence	Eastern Conference
	Capitaine	Patrice Bergeron
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	20,000
	Assistance	20,000
	Billets de saison	10,000
Informations de la formation
	Équipe Pro	22
	Équipe Mineure	33
	Limite contact	55 / 80
	Espoirs	34
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	73,337,500$
	Plafond salarial disponible	662,500$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
Finance
	Revenu annuel à ce jour	54,147,100$
	Dépenses annuelles à ce jour	60,050,000$
	Revenus de la saison estimés	9,282,360$
	Dépenses de la saison estimées	13,387,500$
	Compte bancaire actuel	18,730,674$
	Compte bancaire projeté	14,244,034$

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	Alex Ovechkin		X			100.00	85	39	72	80	86	88	90	91	54	79	94	64	87	88	90	0	50	75	0	38	3	4,600,000$
2	Travis Konecny		X	X		100.00	70	40	59	88	66	88	83	86	66	82	91	75	86	64	57	0	50	73	0	26	1	2,300,000$
3	Patrice Bergeron (C)	X				99.00	69	37	78	84	75	83	92	82	97	76	78	78	84	88	90	0	50	73	0	38	1	3,500,000$
4	Brady Tkachuk		X			100.00	88	60	50	82	84	85	94	86	75	86	85	60	71	60	54	0	50	72	0	24	3	6,900,000$
5	Kevin Fiala	X	X	X		100.00	68	37	72	83	72	83	88	92	56	91	77	64	93	66	59	0	50	72	0	27	1	4,300,000$
6	Jordan Kyrou	X		X		100.00	61	36	80	81	75	84	93	85	54	79	88	65	80	62	55	0	50	71	0	25	2	5,800,000$
7	Zach Parise		X	X		100.00	72	38	79	80	72	80	94	76	55	71	73	79	63	90	84	0	50	71	0	39	2	1,800,000$
8	Ryan Hartman	X		X		100.00	76	45	54	82	73	81	83	80	69	80	80	75	68	70	64	0	50	71	0	29	1	2,500,000$
9	Josh Norris	X				100.00	71	38	80	80	76	82	51	83	83	80	88	70	87	60	52	0	50	69	0	24	1	4,400,000$
10	Garnet Hathaway		X	X		100.00	90	53	61	74	80	73	95	68	52	58	63	78	63	76	70	0	50	67	0	31	3	2,400,000$
11	Rafael Harvey-Pinard (R)		X	X		100.00	77	39	80	80	66	82	70	72	50	61	84	81	70	60	52	0	50	67	0	24	1	1,600,000$
12	Zemgus Girgensons	X	X	X		100.00	73	40	79	74	77	75	93	63	66	57	60	74	60	70	63	0	50	64	0	29	2	1,400,000$
13	Damon Severson				X	100.00	80	38	66	77	78	85	94	71	30	76	63	76	60	70	63	0	50	70	0	29	2	4,500,000$
14	K'Andre Miller				X	100.00	80	41	75	75	85	89	93	67	30	77	64	77	61	58	50	0	50	70	0	23	1	1,700,000$
15	Noah Hanifin				X	100.00	70	39	75	75	80	90	94	67	30	74	62	80	59	64	57	0	50	70	0	26	2	4,500,000$
16	Vince Dunn				X	99.00	75	42	63	82	74	92	94	75	30	88	69	72	64	66	59	0	50	70	0	26	2	2,900,000$
17	Noah Dobson				X	100.00	68	36	79	81	79	86	92	76	30	79	69	72	66	58	50	0	50	69	0	23	2	4,400,000$
Rayé
1	Pierre-Luc Dubois	X	X			97.44	71	39	59	78	83	85	90	81	78	81	80	69	79	62	56	0	50	71	0	25	2	5,000,000$
2	Mathieu Joseph		X	X		100.00	75	40	72	76	73	77	81	69	53	67	54	76	71	64	56	0	50	64	0	26	1	2,000,000$
3	Adam Pelech				X	50.36	74	38	70	68	81	88	84	61	30	66	63	82	53	70	62	0	50	68	0	29	3	3,600,000$
Équipe Mineure
1	Jesse Ylonen (R)		X	X		100.00	64	36	83	75	73	76	72	69	53	67	63	70	82	60	51	0	50	64	0	23	1	800,000$
2	John Leonard		X	X		100.00	64	35	81	69	72	72	61	64	50	51	53	65	65	62	53	0	50	59	0	25	1	1,000,000$
3	James Malatesta (R)	X	X			100.00	63	35	77	63	64	64	63	63	61	63	62	62	60	52	50	0	50	59	0	20	1	400,000$
4	Jonas Rondbjerg		X	X		100.00	60	35	84	69	78	70	62	62	51	53	50	64	64	60	51	0	50	58	0	24	1	800,000$
5	Logan Shaw	X		X		100.00	55	37	76	59	81	49	59	60	54	62	56	58	63	74	66	0	50	58	0	30	1	800,000$
6	Jackson Cates (R)	X				100.00	63	35	85	68	72	67	60	56	68	51	50	60	54	64	55	0	50	57	0	26	1	800,000$
7	Adam Raska (R)			X		100.00	77	68	59	69	67	73	60	57	50	51	50	65	53	56	46	0	50	57	0	22	2	600,000$
8	Sean Farrell (R)	X	X			100.00	60	35	88	69	65	76	61	55	50	51	53	62	55	56	47	0	50	57	0	21	2	800,000$
9	Hayden Hodgson			X		100.00	60	55	61	65	79	60	60	58	50	51	50	58	61	66	58	0	50	56	0	27	1	800,000$
10	Owen Power (R)				X	100.00	63	36	78	75	87	92	93	65	30	75	59	73	73	54	46	0	50	68	0	20	2	1,400,000$
11	Jordan Oesterle				X	100.00	68	41	75	70	71	77	79	57	30	61	58	70	54	74	66	0	50	64	0	31	2	1,200,000$
12	Ben Harpur				X	100.00	76	61	62	64	89	74	74	52	30	58	57	71	49	68	59	0	50	64	0	28	1	1,200,000$
13	Jordie Benn				X	100.00	76	38	76	65	77	77	62	50	30	53	56	70	49	84	76	0	50	63	0	36	2	1,200,000$
14	Jacob MacDonald		X		X	100.00	73	45	78	68	75	70	82	52	30	58	56	65	51	72	63	0	50	62	0	30	2	1,200,000$
15	Kevin Gravel				X	100.00	68	36	79	64	81	75	65	49	30	53	55	72	50	74	66	0	50	62	0	31	2	1,200,000$
16	Egor Zamula (R)				X	100.00	64	35	81	70	74	73	63	55	30	59	55	64	52	58	48	0	50	60	0	23	1	900,000$
17	Spencer Stastney (R)				X	100.00	61	35	85	68	71	81	61	50	30	56	55	69	54	58	50	0	50	60	0	23	2	700,000$
18	Artemi Kniazev				X	100.00	61	35	77	61	70	55	60	50	30	52	45	63	54	56	46	0	50	56	0	22	8	100,000$
19	Santtu Kinnunen				X	100.00	54	35	83	62	69	50	53	52	30	53	49	61	58	60	52	0	50	55	0	24	9	100,000$
20	Dylan Sikura		X	X		100.00	55	36	80	66	67	48	52	55	44	53	54	57	58	68	59	0	50	55	0	28	2	600,000$
21	Adam Brooks	X				100.00	57	35	80	63	70	45	54	52	48	53	50	57	60	66	56	0	50	54	0	27	2	700,000$
22	Greg McKegg	X	X	X		100.00	60	39	74	59	73	46	57	47	30	47	47	58	54	74	66	0	50	53	0	31	1	1,200,000$
23	Shane Gersich	X	X			100.00	55	36	82	61	69	45	59	48	35	47	49	55	52	66	56	0	50	52	0	27	1	600,000$
24	Mitchell Hoelscher	X				100.00	53	35	84	61	69	40	58	47	30	46	49	55	56	58	50	0	50	51	0	23	9	100,000$
25	Stelio Mattheos	X		X		100.00	59	39	74	56	75	44	51	42	30	42	42	56	51	60	50	0	50	50	0	24	9	100,000$
26	Rory Kerins	X	X			100.00	51	35	88	56	66	40	57	47	30	46	49	55	51	54	45	0	50	50	0	21	10	100,000$
27	Olli Juolevi				X	100.00	59	36	77	54	78	51	58	45	30	47	41	61	49	62	52	0	50	54	0	25	2	1,000,000$
28	Topi Niemela				X	100.00	51	35	88	59	67	50	49	41	30	41	41	55	52	54	45	0	50	51	0	21	10	100,000$

	MOYENNE D’ÉQUIPE					97.25	75	41	70	79	77	84	87	77	54	75	74	73	71	68	62	0	50	70

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	Alexandar Georgiev	97.00	88	97	94	68	83	91	86	89	89	85	66	66	61	0	50	71	0	27	1	4,500,000$
Rayé
1	Adin Hill	98.75	81	63	60	83	78	77	76	77	77	77	69	66	60	0	50	66	0	27	1	1,800,000$
Équipe Mineure
1	Daniil Tarasov (R)	99.00	66	63	60	86	69	67	63	64	65	60	61	60	51	0	50	59	0	24	1	600,000$
2	Magnus Chrona (R)	100.00	64	63	62	80	61	63	62	64	62	59	58	54	52	0	50	57	0	23	1	400,000$
3	Alexis Gravel (R)	100.00	43	40	40	79	46	43	43	42	42	43	55	54	44	0	50	47	0	23	6	100,000$
4	Cameron Whitehead	100.00	30	30	30	30	30	30	30	30	30	30	30	50	50	0	50	37	0	20	9	100,000$
5	Roddy Ross	100.00	30	30	30	30	30	30	30	30	30	30	30	50	50	0	50	37	0	23	9	100,000$

	MOYENNE D’ÉQUIPE	97.50	85	80	77	76	81	84	81	83	83	81	68	66	61	0	50	69

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Tortorella	25	95	95	95	55	55	70	USA	65	1	100,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ryan Hartman	Flyers	C/RW	66	27	44	71	14	49	5	132	130	220	76	150	12.27%	6	1214	18.40	8	8	16	55	214	0	0	0	0	1	7	0	46.15%	156	1	0	0	0	1.17	2	7	0	0	1	7	7	1
2	Kevin Fiala	Flyers	C/LW/RW	69	21	42	63	10	16	0	40	88	222	63	157	9.46%	12	1345	19.50	5	12	17	29	221	0	0	0	0	12	5	2	39.52%	124	9	1	0	0	0.94	1	7	0	0	0	3	3	5
3	Patrice Bergeron	Flyers	C	68	24	35	59	27	14	0	46	175	200	53	129	12.00%	18	1309	19.25	4	8	12	29	140	1	0	1	6	202	3	2	58.61%	1742	4	2	1	0	0.90	2	4	0	0	0	2	6	6
4	Alex Ovechkin	Flyers	LW	69	29	28	57	11	52	0	166	74	288	74	190	10.07%	7	1395	20.22	2	9	11	48	230	0	0	0	0	3	4	1	43.55%	124	9	1	1	1	0.82	1	7	0	0	0	9	3	4
5	Brady Tkachuk	Flyers	LW	68	18	28	46	11	97	15	170	61	187	56	127	9.63%	7	1154	16.97	6	7	13	44	178	0	0	0	4	41	2	2	53.97%	63	4	2	0	0	0.80	0	0	0	1	2	2	5	1
6	Zach Parise	Flyers	LW/RW	69	21	24	45	14	10	0	45	100	157	47	121	13.38%	10	1084	15.72	2	8	10	21	127	0	0	0	1	120	1	2	44.58%	166	1	2	0	1	0.83	0	0	0	0	0	6	2	1
7	Vince Dunn	Flyers	D	69	10	35	45	7	98	30	128	53	76	18	67	13.16%	59	1434	20.79	4	11	15	40	235	0	0	0	0	9	0	1	0%	0	3	3	0	0	0.63	0	0	2	0	3	1	2	3
8	Travis Konecny	Flyers	LW/RW	56	21	22	43	6	26	0	81	88	202	75	158	10.40%	8	1005	17.96	3	9	12	38	160	0	0	0	0	0	0	0	50.00%	72	6	4	0	0	0.85	3	4	0	0	0	5	2	1
9	Noah Dobson	Flyers	D	69	8	32	40	19	28	0	47	47	81	38	59	9.88%	40	1364	19.78	6	3	9	39	216	0	0	0	0	22	1	0	0%	0	2	1	0	0	0.59	0	0	0	0	0	1	4	0
10	Pierre-Luc Dubois	Flyers	C/LW	50	11	27	38	9	10	0	41	77	125	31	84	8.80%	8	877	17.54	1	7	8	21	136	0	0	0	0	0	3	0	51.68%	1010	0	0	0	0	0.87	1	3	0	0	0	3	0	0
11	Rafael Harvey-Pinard	Flyers	LW/RW	69	18	18	36	25	22	0	76	73	122	46	99	14.75%	18	1020	14.79	1	2	3	4	13	0	1	1	9	246	4	0	36.25%	80	4	2	1	0	0.71	0	0	0	0	0	3	2	3
12	Jordan Kyrou	Flyers	C/RW	65	17	17	34	24	4	0	16	77	129	36	80	13.18%	11	1064	16.38	4	2	6	23	165	0	0	0	0	36	5	1	37.61%	343	8	3	0	0	0.64	1	1	0	0	0	2	3	3
13	K'Andre Miller	Flyers	D	69	7	21	28	20	63	5	153	58	72	25	51	9.72%	78	1448	20.99	4	7	11	34	166	0	0	0	1	179	1	0	0%	0	0	4	0	0	0.39	0	0	0	1	0	1	0	7
14	Josh Norris	Flyers	C	40	15	13	28	1	6	0	40	73	129	40	92	11.63%	4	743	18.60	6	1	7	40	147	0	0	0	0	0	1	1	52.44%	921	1	2	0	0	0.75	0	2	0	0	0	1	2	1
15	Noah Hanifin	Flyers	D	69	6	19	25	9	16	0	65	57	42	9	17	14.29%	89	1417	20.54	0	0	0	2	7	0	1	1	1	219	2	0	0%	0	0	4	0	0	0.35	0	0	0	0	0	2	3	1
16	Damon Severson	Flyers	D	69	5	18	23	13	66	0	108	40	37	8	23	13.51%	79	1232	17.87	0	0	0	0	0	0	0	0	1	175	2	0	0%	0	1	5	0	0	0.37	0	0	0	0	0	0	2	0
17	Adam Pelech	Flyers	D	67	1	21	22	17	34	0	77	54	47	12	38	2.13%	80	1240	18.52	0	0	0	1	10	0	0	0	0	203	0	0	0%	0	0	3	0	0	0.35	0	0	0	0	0	1	0	2
18	Zemgus Girgensons	Flyers	C/LW/RW	67	3	8	11	1	4	0	20	52	38	14	23	7.89%	2	569	8.50	0	0	0	0	4	0	0	0	0	0	0	0	44.70%	604	1	1	0	0	0.39	0	0	0	0	0	0	0	0
19	Garnet Hathaway	Flyers	LW/RW	67	4	5	9	-7	50	10	84	31	43	18	36	9.30%	12	567	8.47	0	0	0	0	7	0	0	0	6	108	2	0	42.93%	191	0	1	0	0	0.32	0	0	1	0	1	0	0	1
20	Mathieu Joseph	Flyers	LW/RW	62	4	3	7	-6	6	0	14	38	30	15	24	13.33%	6	479	7.73	0	0	0	0	0	0	0	0	0	42	1	0	40.63%	96	0	0	0	0	0.29	0	0	0	0	0	0	0	0
21	Jesse Ylonen	Lehigh Valley Phantoms (PHI)	LW/RW	37	2	3	5	1	0	0	5	10	33	14	25	6.06%	2	325	8.81	0	0	0	0	0	0	0	0	0	0	0	0	42.11%	19	1	0	0	0	0.31	1	1	0	0	0	0	1	0
22	Jacob MacDonald	Lehigh Valley Phantoms (PHI)	LW/D	6	1	0	1	0	0	0	0	1	5	0	2	20.00%	1	45	7.58	0	0	0	0	1	0	0	0	0	6	0	0	100.00%	1	0	0	0	0	0.44	0	0	0	0	0	0	1	0
23	John Leonard	Lehigh Valley Phantoms (PHI)	LW/RW	4	0	1	1	0	0	0	0	1	4	3	1	0%	0	24	6.00	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	0	0	0	0.83	0	0	0	0	0	0	0	0
24	Owen Power	Lehigh Valley Phantoms (PHI)	D	6	0	0	0	-1	5	5	2	1	0	0	1	0%	1	33	5.64	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	1	0	0	0	0	0	0	1	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1350	273	464	737	225	676	70	1556	1459	2489	771	1754	10.97%	558	22400	16.59	56	94	150	468	2385	1	2	3	29	1630	44	12	50.81%	5713	55	42	3	2	0.66	12	36	3	3	7	49	48	40

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Alexandar Georgiev	Flyers	59	35	17	5	0.906	2.43	3328	2	3	135	1435	60	2	0.643	14	56	13	2	3	2
2	Adin Hill	Flyers	16	6	3	3	0.896	2.75	851	2	2	39	376	27	0	0.667	12	13	56	1	0	0
Statistiques d’équipe totales ou en moyenne			75	41	20	8	0.904	2.50	4179	4	5	174	1811	87	2		26	69	69	3	3	2

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Type	Salaire actuel	Salaire restant	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10	Lien
Adam Pelech	Flyers	D	29	07.07.1994	No	210 Lbs	6 ft3	No	No	N/A		No	No	3		Pro Only	3,600,000$	630,000$	3,600,000$	630,000$	No	3,600,000$	3,600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Adin Hill	Flyers	G	27	07.07.1996	No	215 Lbs	6 ft4	No	No	N/A		No	No	1		Pro Only	1,800,000$	315,000$	1,800,000$	315,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Alex Ovechkin	Flyers	LW	38	07.07.1985	No	238 Lbs	6 ft3	No	No	N/A		No	No	3		Pro Only	4,600,000$	805,000$	4,600,000$	805,000$	No	4,600,000$	4,600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Alexandar Georgiev	Flyers	G	27	07.07.1996	No	178 Lbs	6 ft1	No	No	N/A		No	No	1		Pro Only	4,500,000$	787,500$	4,500,000$	787,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Brady Tkachuk	Flyers	LW	24	07.07.1999	No	221 Lbs	6 ft4	No	No	N/A		No	No	3		Pro Only	6,900,000$	1,207,500$	6,900,000$	1,207,500$	No	6,900,000$	6,900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Damon Severson	Flyers	D	29	07.07.1994	No	205 Lbs	6 ft2	No	No	N/A		No	No	2		Pro Only	4,500,000$	787,500$	4,500,000$	787,500$	No	4,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Garnet Hathaway	Flyers	LW/RW	31	07.07.1992	No	208 Lbs	6 ft3	No	No	N/A		No	No	3		Pro Only	2,400,000$	420,000$	2,400,000$	420,000$	No	2,400,000$	2,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien NHL
Jordan Kyrou	Flyers	C/RW	25	07.07.1998	No	196 Lbs	6 ft1	No	No	N/A		No	No	2		Pro Only	5,800,000$	1,015,000$	5,800,000$	1,015,000$	No	5,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Josh Norris	Flyers	C	24	07.07.1999	No	195 Lbs	6 ft2	No	No	N/A		No	No	1		Pro Only	4,400,000$	770,000$	4,400,000$	770,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
K'Andre Miller	Flyers	D	23	07.07.2000	No	215 Lbs	6 ft5	No	No	Trade	06.12.2023	No	No	1		Pro & Farm	1,700,000$	297,500$	1,700,000$	297,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Kevin Fiala	Flyers	C/LW/RW	27	07.07.1996	No	204 Lbs	5 ft10	No	No	N/A		No	No	1		Pro Only	4,300,000$	752,500$	4,300,000$	752,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Mathieu Joseph	Flyers	LW/RW	26	07.07.1997	No	187 Lbs	6 ft1	No	No	N/A		No	No	1		Pro Only	2,000,000$	350,000$	2,000,000$	350,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Noah Dobson	Flyers	D	23	07.07.2000	No	194 Lbs	6 ft4	No	No	N/A		No	No	2		Pro Only	4,400,000$	770,000$	4,400,000$	770,000$	No	4,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Noah Hanifin	Flyers	D	26	07.07.1997	No	207 Lbs	6 ft3	No	No	N/A		No	No	2		Pro Only	4,500,000$	787,500$	4,500,000$	787,500$	No	4,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Patrice Bergeron	Flyers	C	38	07.07.1985	No	196 Lbs	6 ft1	No	No	N/A		No	No	1		Pro Only	3,500,000$	612,500$	3,500,000$	612,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Pierre-Luc Dubois	Flyers	C/LW	25	07.07.1998	No	214 Lbs	6 ft4	No	No	N/A		No	No	2		Pro Only	5,000,000$	875,000$	5,000,000$	875,000$	No	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Rafael Harvey-Pinard	Flyers	LW/RW	24	07.07.1999	Yes	181 Lbs	5 ft9	No	No	N/A		No	No	1		Pro & Farm	1,600,000$	280,000$	1,600,000$	280,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien NHL
Ryan Hartman	Flyers	C/RW	29	07.07.1994	No	197 Lbs	6 ft0	No	No	Trade	11.04.2024	No	No	1	11.04.2024	Pro Only	2,500,000$	437,500$	2,500,000$	437,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Travis Konecny	Flyers	LW/RW	26	07.07.1997	No	175 Lbs	5 ft10	No	No	Trade	11.04.2024	No	No	1	11.04.2024	Pro Only	2,300,000$	402,500$	2,300,000$	402,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Vince Dunn	Flyers	D	26	07.07.1997	No	200 Lbs	6 ft0	No	No	Trade	06.12.2023	No	No	2	06.12.2023	Pro Only	2,900,000$	507,500$	2,900,000$	507,500$	No	2,900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Zach Parise	Flyers	LW/RW	39	07.07.1984	No	195 Lbs	5 ft11	No	No	Trade	30.11.2023	No	No	2	30.11.2023	Pro Only	1,800,000$	315,000$	1,800,000$	315,000$	No	1,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Zemgus Girgensons	Flyers	C/LW/RW	29	07.07.1994	No	200 Lbs	6 ft2	No	No	N/A		No	No	2		Pro Only	1,400,000$	245,000$	1,400,000$	245,000$	No	1,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	27.95	201 Lbs	6 ft2	1.73	3,472,727$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
76,400,000$	47,800,000$	17,500,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex Ovechkin	Patrice Bergeron	Kevin Fiala	35	1	1	3
2	Brady Tkachuk	Josh Norris	Travis Konecny	30	1	1	3
3	Zach Parise	Ryan Hartman	Jordan Kyrou	25	1	2	2
4	Garnet Hathaway	Zemgus Girgensons	Rafael Harvey-Pinard	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Noah Hanifin	Vince Dunn	35	1	2	2
2	Noah Dobson	K'Andre Miller	33	1	2	2
3		Damon Severson	32	1	2	2
4	Vince Dunn	Noah Hanifin	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alex Ovechkin	Josh Norris	Travis Konecny	70	0	0	5
2	Kevin Fiala	Ryan Hartman	Jordan Kyrou	30	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Noah Dobson	Vince Dunn	70	0	1	4
2	Brady Tkachuk	K'Andre Miller	30	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Patrice Bergeron	Rafael Harvey-Pinard	60	1	3	1
2	Zach Parise	Garnet Hathaway	40	1	3	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Noah Hanifin	60	0	5	0
2	Damon Severson	K'Andre Miller	40	0	5	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Rafael Harvey-Pinard	60	0	5	0		Noah Hanifin	60	0	5	0
2	Patrice Bergeron	40	0	5	0	Damon Severson	K'Andre Miller	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Patrice Bergeron	Alex Ovechkin	60	1	2	2
2	Josh Norris	Kevin Fiala	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Noah Hanifin	Vince Dunn	60	1	2	2
2	Noah Dobson	K'Andre Miller	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex Ovechkin	Josh Norris	Travis Konecny	Noah Dobson	Vince Dunn

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Rafael Harvey-Pinard	Patrice Bergeron	Garnet Hathaway		Noah Hanifin

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Alex Ovechkin, Travis Konecny, Kevin Fiala	Alex Ovechkin, Kevin Fiala	Rafael Harvey-Pinard

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Vince Dunn, Noah Hanifin, Noah Dobson	Vince Dunn	, Noah Hanifin

Tirs de pénalité
Alex Ovechkin, Kevin Fiala, Josh Norris, Travis Konecny, Patrice Bergeron

Gardien
#1 : , #2 : Alexandar Georgiev

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

Lignes de défense personnalisées en prolongation
, Damon Severson, , ,

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	Avalanche	2	1	0	0	0	1	0	0	8	5	3	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	6	2	4	3	0.750	8	14	22	0	0	3	3	2	0	59	20	22	17	0	56	15	17	43	9	2	22.22%	5	1	80.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	48	32	45	15	27	13
2	Blackhawks	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	1	1	0	0	32	10	12	10	0	24	6	10	27	3	2	66.67%	5	3	40.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	23	16	25	7	11	5
3	Blue Jackets	3	3	0	0	0	0	0	0	14	4	10	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	4	1	3	6	1.000	14	26	40	0	0	2	6	6	0	79	24	27	28	0	85	26	33	68	7	2	28.57%	12	1	91.67%	1	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	70	48	71	21	37	18
4	Blues	2	1	0	0	0	1	0	0	6	5	1	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	6	9	15	0	0	1	1	4	0	62	15	25	20	2	65	13	10	33	10	0	0.00%	4	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	45	28	46	16	29	16
5	Bruins	2	1	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	0	4	-4	1	1	0	0	0	0	0	0	4	3	1	2	0.500	4	7	11	0	0	0	2	2	0	67	22	21	24	0	56	9	14	35	6	1	16.67%	6	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	48	33	41	15	29	14
6	Canadiens	1	0	0	0	0	0	1	0	5	4	1	1	0	0	0	0	0	1	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	2	0	2	2	28	11	9	7	6	36	15	6	19	2	0	0.00%	3	1	66.67%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	23	15	27	8	14	7
7	Canucks	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	2	4	4	1.000	9	16	25	0	0	6	2	1	0	69	25	19	25	0	60	18	8	30	6	2	33.33%	4	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	49	37	45	13	24	12
8	Capitals	2	1	0	0	0	1	0	0	5	4	1	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	1	2	3	0.750	5	9	14	0	0	2	2	1	0	49	23	12	14	0	43	10	12	33	12	1	8.33%	5	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	49	33	46	14	24	13
9	Coyotes	2	0	1	0	0	0	0	1	4	8	-4	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	1	4	-3	1	0.250	4	7	11	0	0	1	3	0	0	48	13	14	18	6	55	19	18	45	8	0	0.00%	9	2	77.78%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	52	35	46	15	26	13
10	Devils	3	1	2	0	0	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	1	3	-2	2	1	1	0	0	0	0	0	6	7	-1	2	0.333	7	13	20	0	0	3	2	2	0	76	19	23	34	0	75	15	14	67	8	1	12.50%	6	3	50.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	74	53	71	19	34	17
11	Ducks	2	2	0	0	0	0	0	0	12	1	11	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	5	0	5	4	1.000	12	21	33	0	1	4	4	4	0	77	26	28	23	0	45	16	25	33	11	2	18.18%	5	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	53	39	42	13	24	12
12	Flames	2	2	0	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	6	5	1	4	1.000	10	16	26	0	0	3	6	1	0	67	26	25	16	0	43	9	14	42	6	3	50.00%	6	1	83.33%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	57	41	37	12	25	13
13	Golden Knights	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	9	15	0	0	1	4	1	0	56	18	17	21	0	56	19	14	29	8	1	12.50%	7	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	51	35	45	13	23	12
14	Hurricanes	3	2	1	0	0	0	0	0	9	5	4	2	2	0	0	0	0	0	0	8	2	6	1	0	1	0	0	0	0	0	1	3	-2	4	0.667	9	17	26	0	0	4	3	2	0	104	32	37	35	0	73	16	12	46	14	2	14.29%	6	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	82	59	62	19	35	18
15	Islanders	2	2	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	6	2	4	4	1.000	6	12	18	0	0	4	0	2	0	48	21	9	18	0	51	23	52	36	6	1	16.67%	10	1	90.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	49	35	47	12	23	11
16	Jets	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	6	9	0	0	2	0	1	0	57	19	12	26	0	42	19	24	34	8	1	12.50%	10	2	80.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	50	35	45	13	24	12
17	Kings	2	1	1	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	0	4	2	0.500	5	9	14	0	1	2	2	1	0	34	15	8	11	0	41	11	12	44	3	0	0.00%	6	2	66.67%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	43	28	50	14	26	13
18	Kraken	2	2	0	0	0	0	0	0	12	0	12	1	1	0	0	0	0	0	0	6	0	6	1	1	0	0	0	0	0	0	6	0	6	4	1.000	12	22	34	0	2	5	3	4	0	69	25	25	19	0	52	12	20	49	12	3	25.00%	9	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	51	35	44	13	23	12
19	Lightning	3	1	2	0	0	0	0	0	10	10	0	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.333	10	18	28	0	0	6	0	4	0	106	46	32	28	0	79	27	34	53	11	2	18.18%	11	3	72.73%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	75	50	62	23	42	21
20	Maple Leafs	3	1	0	0	1	1	0	0	12	11	1	2	1	0	0	0	1	0	0	8	8	0	1	0	0	0	1	0	0	0	4	3	1	5	0.833	12	21	33	0	0	5	2	4	1	112	46	28	35	3	101	33	19	59	6	1	16.67%	7	1	85.71%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	69	46	67	22	46	23
21	Oilers	2	1	1	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	8	13	0	0	3	1	1	0	51	20	23	8	0	35	13	18	35	8	2	25.00%	8	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	50	35	44	13	25	12
22	Panthers	2	0	2	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	2	0	2	0	0	0	0	0	3	7	-4	0	0.000	3	5	8	0	0	1	2	0	0	61	19	33	9	0	63	20	16	38	7	1	14.29%	8	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	43	26	47	16	28	14
23	Penguins	4	2	1	0	0	0	0	1	12	12	0	2	1	0	0	0	0	0	1	8	7	1	2	1	1	0	0	0	0	0	4	5	-1	5	0.625	12	20	32	0	0	3	1	8	0	124	49	30	45	3	103	34	35	84	9	1	11.11%	12	0	100.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	104	76	92	26	48	24
24	Predators	2	1	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	4	3	1	2	0.500	5	9	14	0	0	1	1	3	0	73	17	28	28	0	49	17	34	33	11	3	27.27%	10	2	80.00%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	53	38	43	13	23	12
25	Rangers	2	1	1	0	0	0	0	0	5	5	0	2	1	1	0	0	0	0	0	5	5	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	5	9	14	0	0	2	0	3	0	40	16	7	17	0	54	16	20	33	5	1	20.00%	9	2	77.78%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	42	29	52	15	25	11
26	Red Wings	3	1	0	0	0	0	1	1	14	13	1	1	0	0	0	0	0	1	0	4	3	1	2	1	0	0	0	0	0	1	10	10	0	5	0.833	14	25	39	0	0	6	3	4	3	90	28	34	25	11	81	14	24	66	12	3	25.00%	11	1	90.91%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	82	58	67	22	40	21
27	Sabres	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	2	1	1	2	0.500	4	8	12	0	0	0	2	2	0	73	21	25	27	0	62	20	20	35	6	2	33.33%	9	1	88.89%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	45	31	50	14	24	11
28	Senators	3	1	1	0	0	0	1	0	11	5	6	2	0	1	0	0	0	1	0	4	5	-1	1	1	0	0	0	0	0	0	7	0	7	4	0.667	11	17	28	0	1	4	3	3	2	91	30	37	20	8	71	23	20	71	11	1	9.09%	9	1	88.89%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	79	56	67	20	38	20
29	Sharks	2	0	1	0	0	0	0	1	4	7	-3	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0.250	4	7	11	0	0	3	1	0	0	70	23	23	23	3	57	22	18	45	8	1	12.50%	9	1	88.89%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	47	30	45	16	31	15
30	Stars	2	2	0	0	0	0	0	0	12	6	6	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	12	22	34	0	0	5	3	4	0	72	22	29	21	0	45	28	20	52	13	2	15.38%	9	1	88.89%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	50	35	44	13	25	13
31	Wild	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	8	16	24	0	0	3	4	1	0	68	19	24	25	0	53	11	20	36	7	1	14.29%	9	2	77.78%	0	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	57	40	37	13	25	13
	Total	69	37	20	0	1	4	3	4	232	178	54	35	16	10	0	0	3	3	3	111	94	17	34	21	10	0	1	1	0	1	121	84	37	90	0.652	232	410	642	0	5	88	67	73	8	2112	720	698	677	42	1811	549	613	1353	253	45	17.79%	239	32	86.61%	1	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	1725	1202	1563	493	893	458
	_Since Last GM Reset	69	37	20	0	1	4	3	4	232	178	54	35	16	10	0	0	3	3	3	111	94	17	34	21	10	0	1	1	0	1	121	84	37	90	0.652	232	410	642	0	5	88	67	73	8	2112	720	698	677	42	1811	549	613	1353	253	45	17.79%	239	32	86.61%	1	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	1725	1202	1563	493	893	458
	_Vs Conference	38	18	12	0	1	2	3	2	121	103	18	20	8	6	0	0	2	3	1	64	56	8	18	10	6	0	1	0	0	1	57	47	10	48	0.632	121	215	336	0	1	44	28	45	8	1148	407	364	366	31	1033	301	331	743	122	20	16.39%	124	15	87.90%	1	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	940	655	875	272	493	251
	_Vs Division	19	12	5	0	0	1	0	1	58	42	16	10	6	2	0	0	1	0	1	34	23	11	9	6	3	0	0	0	0	0	24	19	5	26	0.684	58	106	164	0	0	20	14	24	0	520	184	145	191	3	484	140	178	367	61	9	14.75%	60	7	88.33%	1	1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%	472	336	444	128	229	116

			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
69	90	W2	232	410	642	2112	1811	549	613	1353	0	5

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
69	37	20	1	4	3	4	232	178

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
35	16	10	0	3	3	3	111	94

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	21	10	1	1	0	1	121	84

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
5	3	0	1	0	1

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
253	45	17.79%	239	32	86.61%	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
720	698	677	42	88	67	73	8

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
1201	2347	51.17%	1095	2149	50.95%	538	1071	50.23%

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
1725	1202	1563	493	893	458

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
2	12	Flyers	4	Blue Jackets	1	AW			Sommaire du match
3	19	Flyers	7	Senators	0	AW			Sommaire du match
6	41	Canucks	2	Flyers	3	BW			Sommaire du match
8	57	Oilers	2	Flyers	1	BL			Sommaire du match
10	77	Flyers	6	Stars	2	AW			Sommaire du match
11	85	Flyers	3	Golden Knights	1	AW			Sommaire du match
13	99	Wild	2	Flyers	3	BW			Sommaire du match
15	115	Ducks	1	Flyers	7	BW			Sommaire du match
17	131	Hurricanes	1	Flyers	3	BW			Sommaire du match
18	139	Sabres	3	Flyers	2	BL			Sommaire du match
20	155	Flyers	2	Sabres	1	AW			Sommaire du match
22	171	Kings	3	Flyers	1	BL			Sommaire du match
24	193	Flyers	2	Sharks	4	AL			Sommaire du match
26	209	Flyers	5	Ducks	0	AW			Sommaire du match
27	220	Flyers	4	Kings	0	AW			Sommaire du match
30	235	Flyers	1	Hurricanes	3	AL			Sommaire du match
32	252	Golden Knights	2	Flyers	3	BW			Sommaire du match
34	265	Blue Jackets	2	Flyers	4	BW			Sommaire du match
36	281	Flyers	4	Islanders	1	AW			Sommaire du match
38	301	Rangers	1	Flyers	3	BW			Sommaire du match
40	314	Flyers	2	Islanders	1	AW			Sommaire du match
41	324	Hurricanes	1	Flyers	5	BW			Sommaire du match
43	339	Devils	3	Flyers	1	BL			Sommaire du match
46	364	Flyers	1	Penguins	3	AL			Sommaire du match
47	371	Penguins	4	Flyers	3	BL	X	X	Sommaire du match
49	394	Flyers	1	Coyotes	4	AL			Sommaire du match
52	419	Flyers	6	Avalanche	2	AW			Sommaire du match
55	439	Capitals	3	Flyers	2	BL	X		Sommaire du match
56	449	Flyers	4	Predators	3	AW			Sommaire du match
58	463	Red Wings	3	Flyers	4	BW	X	X	Sommaire du match
61	487	Flyers	1	Devils	4	AL			Sommaire du match
63	505	Predators	4	Flyers	1	BL			Sommaire du match
64	517	Flyers	6	Red Wings	7	AL	X	X	Sommaire du match
66	537	Flyers	6	Canucks	2	AW			Sommaire du match
68	553	Flyers	6	Flames	5	AW			Sommaire du match
70	572	Flyers	6	Kraken	0	AW			Sommaire du match
71	577	Flyers	4	Oilers	2	AW			Sommaire du match
73	588	Blue Jackets	1	Flyers	6	BW			Sommaire du match
75	603	Flames	2	Flyers	4	BW			Sommaire du match
77	621	Penguins	3	Flyers	5	BW			Sommaire du match
78	626	Canadiens	4	Flyers	5	BW	X	X	Sommaire du match
80	649	Flyers	5	Wild	2	AW			Sommaire du match
83	672	Flyers	2	Blues	3	AL	X		Sommaire du match
84	680	Flyers	2	Jets	3	AL			Sommaire du match
86	692	Stars	4	Flyers	6	BW			Sommaire du match
88	708	Avalanche	3	Flyers	2	BL	X		Sommaire du match
90	725	Senators	3	Flyers	1	BL			Sommaire du match
91	733	Lightning	1	Flyers	4	BW			Sommaire du match
93	751	Flyers	4	Red Wings	3	AW			Sommaire du match
95	766	Bruins	4	Flyers	0	BL			Sommaire du match
97	786	Flyers	1	Panthers	3	AL			Sommaire du match
99	799	Coyotes	4	Flyers	3	BL	X	X	Sommaire du match
101	818	Kraken	0	Flyers	6	BW			Sommaire du match
103	835	Jets	4	Flyers	1	BL			Sommaire du match
104	843	Flyers	4	Maple Leafs	3	AW	X		Sommaire du match
106	862	Flyers	5	Devils	3	AW			Sommaire du match
109	887	Flyers	2	Blackhawks	4	AL			Sommaire du match
111	905	Flyers	3	Penguins	2	AW			Sommaire du match
114	926	Lightning	5	Flyers	3	BL			Sommaire du match
116	942	Rangers	4	Flyers	2	BL			Sommaire du match
117	952	Flyers	3	Capitals	1	AW			Sommaire du match
119	970	Senators	2	Flyers	3	BW	X	X	Sommaire du match
121	987	Blues	2	Flyers	4	BW			Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
123	1004	Flyers	2	Panthers	4	AL			Sommaire du match
124	1011	Flyers	3	Lightning	4	AL			Sommaire du match
126	1025	Sharks	3	Flyers	2	BL	X	X	Sommaire du match
128	1042	Maple Leafs	4	Flyers	3	BL	X		Sommaire du match
130	1057	Flyers	4	Bruins	3	AW			Sommaire du match
132	1075	Maple Leafs	4	Flyers	5	BW			Sommaire du match
133	1086	Flyers	-	Hurricanes	-
137	1115	Bruins	-	Flyers	-
138	1123	Panthers	-	Flyers	-
140	1138	Flyers	-	Rangers	-
142	1153	Flyers	-	Canadiens	-
144	1170	Blackhawks	-	Flyers	-
145	1181	Islanders	-	Flyers	-
148	1207	Flyers	-	Sabres	-
149	1214	Flyers	-	Blue Jackets	-
153	1246	Flyers	-	Canadiens	-
155	1262	Flyers	-	Rangers	-
156	1271	Devils	-	Flyers	-
160	1304	Capitals	-	Flyers	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	8000	4000	5000	2000	1000
Prix des billets	100	60	40	30	202
Assistance	280,000	140,000	175,000	70,000	35,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
6	20000 - 100.00%	1,547,060$	54,147,100$	20000	140

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
60,050,000$	76,400,000$	76,400,000$	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
477,500$	59,967,500$	0$	22	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
9,282,360$	28	478,125$	13,387,500$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
13,769,000$	18,730,674$	14,244,034$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
73,337,500$	662,500$	74,000,000$	29,337,500$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Alex Ovechkin	AGE:38	PO:0	OV:75
Travis Konecny	AGE:26	PO:0	OV:73
Brady Tkachuk	AGE:24	PO:0	OV:72
Kevin Fiala	AGE:27	PO:0	OV:72
Zach Parise	AGE:39	PO:0	OV:71
Pierre-Luc Dubois	AGE:25	PO:0	OV:71
Garnet Hathaway	AGE:31	PO:0	OV:67
Rafael Harvey-Pinard (R)	AGE:24	PO:0	OV:67
Mathieu Joseph	AGE:26	PO:0	OV:64
Jesse Ylonen (R)	AGE:23	PO:0	OV:64
Zemgus Girgensons	AGE:29	PO:0	OV:64
Jacob MacDonald	AGE:30	PO:0	OV:62
John Leonard	AGE:25	PO:0	OV:59
James Malatesta (R)	AGE:20	PO:0	OV:59
Jonas Rondbjerg	AGE:24	PO:0	OV:58
Sean Farrell (R)	AGE:21	PO:0	OV:57
Dylan Sikura	AGE:28	PO:0	OV:55
Greg McKegg	AGE:31	PO:0	OV:53
Shane Gersich	AGE:27	PO:0	OV:52
Rory Kerins	AGE:21	PO:0	OV:50

Patrice Bergeron	AGE:38	PO:0	OV:73
Kevin Fiala	AGE:27	PO:0	OV:72
Jordan Kyrou	AGE:25	PO:0	OV:71
Pierre-Luc Dubois	AGE:25	PO:0	OV:71
Ryan Hartman	AGE:29	PO:0	OV:71
Josh Norris	AGE:24	PO:0	OV:69
Zemgus Girgensons	AGE:29	PO:0	OV:64
James Malatesta (R)	AGE:20	PO:0	OV:59
Logan Shaw	AGE:30	PO:0	OV:58
Jackson Cates (R)	AGE:26	PO:0	OV:57
Sean Farrell (R)	AGE:21	PO:0	OV:57
Adam Brooks	AGE:27	PO:0	OV:54
Greg McKegg	AGE:31	PO:0	OV:53
Shane Gersich	AGE:27	PO:0	OV:52
Mitchell Hoelscher	AGE:23	PO:0	OV:51
Stelio Mattheos	AGE:24	PO:0	OV:50
Rory Kerins	AGE:21	PO:0	OV:50

Travis Konecny	AGE:26	PO:0	OV:73
Kevin Fiala	AGE:27	PO:0	OV:72
Jordan Kyrou	AGE:25	PO:0	OV:71
Zach Parise	AGE:39	PO:0	OV:71
Ryan Hartman	AGE:29	PO:0	OV:71
Garnet Hathaway	AGE:31	PO:0	OV:67
Rafael Harvey-Pinard (R)	AGE:24	PO:0	OV:67
Mathieu Joseph	AGE:26	PO:0	OV:64
Jesse Ylonen (R)	AGE:23	PO:0	OV:64
Zemgus Girgensons	AGE:29	PO:0	OV:64
John Leonard	AGE:25	PO:0	OV:59
Jonas Rondbjerg	AGE:24	PO:0	OV:58
Logan Shaw	AGE:30	PO:0	OV:58
Adam Raska (R)	AGE:22	PO:0	OV:57
Hayden Hodgson	AGE:27	PO:0	OV:56
Dylan Sikura	AGE:28	PO:0	OV:55
Greg McKegg	AGE:31	PO:0	OV:53
Stelio Mattheos	AGE:24	PO:0	OV:50

Défense #1

Défense #2

Gardien

Damon Severson	AGE:29	PO:0	OV:70
K'Andre Miller	AGE:23	PO:0	OV:70
Noah Hanifin	AGE:26	PO:0	OV:70
Vince Dunn	AGE:26	PO:0	OV:70
Noah Dobson	AGE:23	PO:0	OV:69
Adam Pelech	AGE:29	PO:0	OV:68
Owen Power (R)	AGE:20	PO:0	OV:68
Jordan Oesterle	AGE:31	PO:0	OV:64
Ben Harpur	AGE:28	PO:0	OV:64

Jordie Benn	AGE:36	PO:0	OV:63
Jacob MacDonald	AGE:30	PO:0	OV:62
Kevin Gravel	AGE:31	PO:0	OV:62
Egor Zamula (R)	AGE:23	PO:0	OV:60
Spencer Stastney (R)	AGE:23	PO:0	OV:60
Artemi Kniazev	AGE:22	PO:0	OV:56
Santtu Kinnunen	AGE:24	PO:0	OV:55
Olli Juolevi	AGE:25	PO:0	OV:54
Topi Niemela	AGE:21	PO:0	OV:51

Alexandar Georgiev	AGE:27	PO:0	OV:71
Adin Hill	AGE:27	PO:0	OV:66
Daniil Tarasov (R)	AGE:24	PO:0	OV:59
Magnus Chrona (R)	AGE:23	PO:0	OV:57
Alexis Gravel (R)	AGE:23	PO:0	OV:47
Cameron Whitehead	AGE:20	PO:0	OV:37
Roddy Ross	AGE:23	PO:0	OV:37

Espoirs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Date de la Dernière Transaction	Lien
Albin Sundsvik	Flyers	0	0
Alex Young	Flyers	0	0
Artur Akhtyamov	Flyers	0	0
Artyom Galimov	Flyers	0	0
Benjamin Baumgartner	Flyers	0	0
Cameron Allen	Flyers	0	0
Chad Krys	Flyers	0	0
Dans Locmelis	Flyers	0	0
Domenick Fensore	Flyers	0	0
Dominic James	Flyers	0	0
Dylan Peterson	Flyers	0	0
Eetu Liukas	Flyers	0	0
Felix Unger Sorum	Flyers	0	0
Ivan Chekhovich	Flyers	0	0
Jack Gorniak	Flyers	0	0
Jack Malone	Flyers	0	0
Jakub Kos	Flyers	0	0
Joni Ikonen	Flyers	0	0
Justin Schütz	Flyers	0	0
Lane Hutson	Flyers	0	0
Leevi Aaltonen	Flyers	0	0
Malte Setkov	Flyers	0	0
Maxim Denezhkin	Flyers	0	0
Michael Emerson	Flyers	0	0
Nikolaj Krag Christensen	Flyers	0	0
Otto Kivenmaki	Flyers	0	0
Patrick Moynihan	Flyers	0	0
Redmond Savage	Flyers	0	0
Samu Bau	Flyers	0	0
Sandis Vilmanis	Flyers	0	0
Ty Taylor	Flyers	0	0
Victor Mancini	Flyers	0	0
Viktor Neuchev	Flyers	0	0
Vojtech Port	Flyers	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
24
25
26
27
28
Choix au repêchage conditionnel

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

Flyers Historique de transactions

[17.04.2024 22:43:11] - James Malatesta was added to Flyers.
[11.04.2024 20:38:47] - TRADE : From Stars to Flyers : Ryan Hartman (71).
[11.04.2024 20:38:47] - TRADE : From Flyers to Stars : Y:25-RND:2-PHI, Y:26-RND:7-PHI.
[11.04.2024 20:34:43] - TRADE : From Flyers to Canucks : Gavin Brindley (P), Y:25-RND:1-PHI, Y:26-RND:1-PHI, Y:25-RND:7-PHI.
[11.04.2024 20:34:43] - TRADE : From Canucks to Flyers : Travis Konecny (73).
[06.12.2023 0:04:54] - TRADE : From Flyers to Islanders : Shayne Gostisbehere (68), Stanislav Svozil (59), Ilya Lyubushkin (66), Frank Nazar (P), Y:24-RND:1-PHI, Y:24-RND:2-BOS.
[06.12.2023 0:04:54] - TRADE : From Islanders to Flyers : K'Andre Miller (70), Y:24-RND:3-BUF.
[06.12.2023 0:03:53] - TRADE : From Flyers to Hurricanes : $2,800,000 (Money), Y:24-RND:3-EDM, Y:24-RND:6-PHI.
[06.12.2023 0:03:53] - TRADE : From Hurricanes to Flyers : Vince Dunn (70).
[05.12.2023 23:01:32] - TRADE : From Coyotes to Flyers : Cameron Whitehead (37), Roddy Ross (35).
[05.12.2023 23:01:32] - TRADE : From Flyers to Coyotes : Matej Pekar (51), Nikita Pavlychev (52).
[30.11.2023 3:38:19] - TRADE : From Flames to Flyers : Zach Parise (71).
[30.11.2023 3:38:19] - TRADE : From Flyers to Flames : Danil Gushchin (58), Dylan Blujus (54), Cole Moberg (53), Matt Bartkowski (56), Y:24-RND:3-PHI, Y:24-RND:7-PHI.
[21.11.2023 1:37:45] - Flyers hired John Tortorella for $100,000 for 1 year(s).
[17.11.2023 15:51:20] - TRADE : From Flyers to Oilers : Andrew Copp (68).
[17.11.2023 15:51:20] - TRADE : From Oilers to Flyers : Y:24-RND:3-EDM.

[22.04.2024 22:00:01] Owen Power of Flyers was sent to farm.
[22.04.2024 22:00:01] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[22.04.2024 22:00:00] Pro Game #1075 - Zach Parise from Flyers has scored a Hat Trick!
[22.04.2024 21:59:57] Auto Lines Partial Function has been run for Flyers.
[22.04.2024 21:59:50] Auto Roster Function has been run for Flyers.
[22.04.2024 21:59:46] Owen Power of Flyers was sent to pro.
[22.04.2024 21:59:35] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[22.04.2024 21:59:26] Auto Roster Partial Function has been run for Flyers.
[20.04.2024 22:32:02] Pierre-Luc Dubois from Flyers is back from Right Foot Injury.
[20.04.2024 22:32:02] Owen Power of Flyers was sent to farm.
[20.04.2024 22:32:02] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[20.04.2024 22:31:58] Auto Lines Partial Function has been run for Lehigh Valley Phantoms.
[20.04.2024 22:31:58] Auto Lines Partial Function has been run for Flyers.
[20.04.2024 22:31:39] Owen Power of Flyers was sent to pro.
[20.04.2024 22:31:26] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[20.04.2024 22:31:18] Auto Roster Partial Function has been run for Flyers.
[19.04.2024 21:24:59] Adin Hill from Flyers is back from Exhaustion.
[18.04.2024 21:44:16] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[18.04.2024 21:44:14] Adin Hill from Flyers injured (Exhaustion)
[18.04.2024 21:44:14] Game 1042 - Adam Pelech from Flyers is injured (Sprained Left Finger) and is out for 2 months.
[17.04.2024 22:44:38] Flyers Messenger Address was changed to kubahromada29.
[17.04.2024 22:43:11] James Malatesta was added to Flyers.
[16.04.2024 23:45:25] Adin Hill from Flyers is back from Left Knee Injury.
[16.04.2024 23:45:25] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[16.04.2024 23:45:24] Game 1025 - Adin Hill from Flyers is injured (Left Knee) and is out for 1 days.
[15.04.2024 21:41:05] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:84.19.71.121 .
[15.04.2024 21:38:49] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:84.19.71.121 .
[15.04.2024 1:57:42] Lehigh Valley Phantoms lines for next game are empty. Current rosters/lines are not erased. But, Flyers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[15.04.2024 1:56:16] Auto Lines Partial Function has been run for Lehigh Valley Phantoms.
[13.04.2024 23:00:14] Auto Lines Partial Function has been run for Lehigh Valley Phantoms.
[12.04.2024 21:54:34] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:86.49.234.43 .
[12.04.2024 21:54:06] Successfully loaded Flyers lines done with Web Base Client and SQLite Database from IP:86.49.234.43 .
[12.04.2024 21:54:06] Jesse Ylonen of Flyers was sent down to farm.
[11.04.2024 22:01:37] Auto Lines Partial Function has been run for Lehigh Valley Phantoms.
[11.04.2024 22:01:37] Auto Lines Partial Function has been run for Flyers.
[11.04.2024 22:01:37] Auto Roster Partial Function has been run for Flyers.
[11.04.2024 20:38:48] Flyers are expected to be over the salary cap by $157,500!
[11.04.2024 20:38:47] TRADE : From Stars to Flyers : Ryan Hartman (71).
[11.04.2024 20:38:47] TRADE : From Flyers to Stars : Y:25-RND:2-PHI, Y:26-RND:7-PHI.
[11.04.2024 20:34:43] TRADE : From Flyers to Canucks : Gavin Brindley (P), Y:25-RND:1-PHI, Y:26-RND:1-PHI, Y:25-RND:7-PHI.
[11.04.2024 20:34:43] TRADE : From Canucks to Flyers : Travis Konecny (73).

Adam Pelech est dehors pour 1 mois à cause de Sprained Left Finger 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: 69 \| W: 41 \| L: 20 \| OTL: 8 \| P: 90 GF: 232 \| GA: 178 \| PP%: 17.79% \| PK%: 86.61% DG: Jakub Hromada \| Morale : 50 \| Moyenne d’équipe : 70 #1086 vs Hurricanes