LHSRSM - Flyers

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Statistiques d’équipe en carrière
Client Web pour la formation
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Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Francois Gamache
	Entraîneur	Rick Tocchet
	Division	Metropolitaine
	Conférence	Est
	Capitaine	Claude Giroux
	Assistant #1	Anders Lee
	Assistant #2
Informations de l’aréna
	Nom	Wells Fargo Center
	Capacité	18,000
	Assistance
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	12
	Limite contact	33 / 250
	Espoirs	27
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	81,500,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	15
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	970,099,920$
	Compte bancaire projeté	970,099,920$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	419-256-74 (0.559%)
	Apparitions en séries éliminatoires	7
	Historique en séries éliminatoires (W-L)	75-51
	Coupe Stanley	3

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	Claude Giroux (C)			X		100.00	62	34	88	79	70	89	90	82	91	83	75	62	81	87	75	0	50	73	0	32	1	8,275,000$
2	Nazem Kadri	X				100.00	66	36	74	77	73	89	94	79	86	84	76	68	75	80	77	0	50	73	0	30	1	4,500,000$
3	Nikolaj Ehlers		X			100.00	58	37	95	83	69	88	87	79	58	78	84	62	82	69	71	0	50	72	0	24	4	6,000,000$
4	Anders Lee (A)		X			100.00	70	38	86	71	90	87	83	74	71	73	80	66	73	77	89	0	50	72	0	30	5	7,000,000$
5	Joel Farabee		X			100.00	64	46	80	78	71	87	89	77	62	72	78	79	76	62	65	0	50	71	0	20	1	1,425,000$
6	Martin Necas	X				100.00	62	36	88	78	77	87	89	76	74	77	72	73	78	65	69	0	50	71	0	21	0	0$
7	Mikael Backlund	X				100.00	64	35	83	73	74	87	85	72	86	74	67	78	71	83	74	0	50	70	0	31	3	5,350,000$
8	Kevin Hayes	X				100.00	66	39	84	71	93	88	86	73	82	76	71	69	72	75	73	0	50	70	0	28	5	7,142,857$
9	Sean Kuraly	X				100.00	85	39	79	64	81	85	88	65	84	67	66	86	63	71	69	0	50	68	0	27	0	0$
10	Keegan Kolesar			X		100.00	90	81	70	66	85	79	86	64	73	67	63	62	58	65	67	0	50	66	0	23	1	725,000$
11	Morgan Frost	X				100.00	59	36	87	71	66	80	86	69	80	68	62	66	71	63	67	0	50	65	0	21	1	863,333$
12	Brad Richardson			X		100.00	68	37	80	62	73	77	78	60	85	61	60	72	59	86	78	0	50	64	0	35	0	0$
13	Devon Toews				X	100.00	62	35	86	73	76	89	81	74	30	85	73	90	59	69	71	0	50	72	0	26	3	4,100,000$
14	Jacob Trouba				X	100.00	89	71	72	70	85	93	89	67	30	77	68	87	56	73	69	0	50	71	0	26	5	8,000,000$
15	Dmitry Orlov				X	100.00	76	35	84	77	75	91	86	73	30	76	72	69	58	77	74	0	50	71	0	29	2	5,100,000$
16	Mario Ferraro				X	100.00	82	35	85	68	76	83	93	67	30	74	56	90	52	64	65	0	50	68	0	22	1	1,137,500$
17	Justin Braun				X	100.00	72	36	86	61	82	87	85	58	30	70	59	84	50	83	75	0	50	67	0	33	1	1,800,000$
18	Dillon Heatherington				X	100.00	81	41	82	59	89	77	78	56	30	58	57	64	49	67	69	0	50	62	0	25	0	0$
Rayé
1	Justin Richards	X				100.00	76	36	83	67	71	77	83	65	71	66	58	64	62	65	66	0	50	64	0	22	0	0$

	MOYENNE D’ÉQUIPE					100.00	71	42	82	68	78	82	83	67	59	69	65	70	62	71	71	0	50	67

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	Robin Lehner	100.00	91	82	83	95	90	89	91	90	89	91	90	79	85	0	50	74	0	29	4	5,000,000$
2	Jonathan Bernier	100.00	81	74	72	73	80	79	81	80	79	81	80	82	88	0	50	68	0	32	0	0$
Rayé

	MOYENNE D’ÉQUIPE	100.00	76	73	74	83	75	74	76	75	74	76	75	72	82	0	50	65

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rick Tocchet	83	88	80	87	86	80	61	CAN	58	8	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

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Link
Anders Lee	Flyers	LW	30	1990-07-03	No	235 Lbs	6 ft3	No	No	No	5	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	Lien / Lien NHL
Brad Richardson	Flyers	RW	35	1985-02-04	No	190 Lbs	6 ft0	No	No	No	0	Pro & Farm		0$	0$	No					Lien / Lien NHL
Claude Giroux	Flyers	RW	32	1988-01-12	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	8,275,000$	8,275,000$	8,275,000$	No					Lien / Lien NHL
Devon Toews	Flyers	D	26	1994-02-21	No	191 Lbs	6 ft1	No	No	No	3	Pro & Farm	4,100,000$	4,100,000$	4,100,000$	No	4,100,000$	4,100,000$			Lien / Lien NHL
Dillon Heatherington	Flyers	D	25	1995-05-09	No	215 Lbs	6 ft4	No	No	No	0	Pro & Farm		0$	0$	No					Lien / Lien NHL
Dmitry Orlov	Flyers	D	29	1991-07-23	No	214 Lbs	5 ft11	No	No	No	2	Pro & Farm	5,100,000$	5,100,000$	5,100,000$	No	5,100,000$				Lien / Lien NHL
Jacob Trouba	Flyers	D	26	1994-02-26	No	208 Lbs	6 ft3	No	No	No	5	Pro & Farm	8,000,000$	8,000,000$	8,000,000$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	Lien / Lien NHL
Joel Farabee	Flyers	LW	20	2000-02-25	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,425,000$	1,425,000$	1,425,000$	No					Lien / Lien NHL
Jonathan Bernier	Flyers	G	32	1988-08-07	No	185 Lbs	6 ft0	No	No	No	0	Pro & Farm		0$	0$	No					Lien / Lien NHL
Justin Braun	Flyers	D	33	1987-02-10	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,800,000$	1,800,000$	1,800,000$	No					Lien / Lien NHL
Justin Richards	Flyers	C	22	1998-03-17	No	190 Lbs	5 ft11	No	No	No	0	Pro & Farm		0$	0$	No					Lien / Lien NHL
Keegan Kolesar	Flyers	RW	23	1997-04-08	No	221 Lbs	6 ft2	No	No	No	1	Pro & Farm	725,000$	725,000$	725,000$	No					Lien / Lien NHL
Kevin Hayes	Flyers	C	28	1992-05-08	No	216 Lbs	6 ft5	No	No	No	5	Pro & Farm	7,142,857$	7,142,857$	7,142,857$	No	7,142,857$	7,142,857$	7,142,857$	7,142,857$	Lien / Lien NHL
Mario Ferraro	Flyers	D	22	1998-09-17	No	209 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,137,500$	1,137,500$	1,137,500$	No					Lien / Lien NHL
Martin Necas	Flyers	C	21	1999-01-15	No	189 Lbs	6 ft2	No	No	No	0	Pro & Farm		0$	0$	No					Lien / Lien NHL
Mikael Backlund	Flyers	C	31	1989-03-17	No	200 Lbs	6 ft0	No	No	No	3	Pro & Farm	5,350,000$	5,350,000$	5,350,000$	No	5,350,000$	5,350,000$			Lien / Lien NHL
Morgan Frost	Flyers	C	21	1999-05-14	No	170 Lbs	5 ft11	No	No	No	1	Pro & Farm	863,333$	863,333$	863,333$	No					Lien / Lien NHL
Nazem Kadri	Flyers	C	30	1990-10-06	No	192 Lbs	6 ft0	No	No	No	1	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	No					Lien / Lien NHL
Nikolaj Ehlers	Flyers	LW	24	1996-02-14	No	172 Lbs	6 ft0	No	No	No	4	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	6,000,000$	6,000,000$		Lien / Lien NHL
Robin Lehner	Flyers	G	29	1991-07-24	No	250 Lbs	6 ft4	No	No	No	4	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	5,000,000$		Lien / Lien NHL
Sean Kuraly	Flyers	C	27	1993-01-20	No	205 Lbs	6 ft2	No	No	No	0	Pro & Farm		0$	0$	No					Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	26.95	201 Lbs	6 ft1	1.81	3,162,795$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
66,418,690$	47,692,857$	42,592,857$	33,142,857$	22,142,857$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nikolaj Ehlers	Claude Giroux	Martin Necas	35	1	2	2
2	Anders Lee	Nazem Kadri	Kevin Hayes	35	1	2	2
3	Sean Kuraly	Mikael Backlund	Joel Farabee	20	1	2	2
4	Brad Richardson	Morgan Frost	Keegan Kolesar	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Jacob Trouba	30	1	2	2
2	Dmitry Orlov	Mario Ferraro	30	1	2	2
3	Justin Braun	Dillon Heatherington	25	1	2	2
4	Devon Toews	Jacob Trouba	15	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Anders Lee	Claude Giroux	Martin Necas	60	1	2	2
2	Nikolaj Ehlers	Nazem Kadri	Kevin Hayes	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Jacob Trouba	60	1	2	2
2	Dmitry Orlov	Mario Ferraro	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Martin Necas	Claude Giroux	60	1	2	2
2	Kevin Hayes	Anders Lee	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Jacob Trouba	60	1	2	2
2	Dmitry Orlov	Mario Ferraro	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Martin Necas	60	1	2	2	Devon Toews	Jacob Trouba	60	1	2	2
2	Kevin Hayes	40	1	2	2	Dmitry Orlov	Mario Ferraro	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Martin Necas	Claude Giroux	60	1	2	2
2	Kevin Hayes	Anders Lee	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Jacob Trouba	60	1	2	2
2	Dmitry Orlov	Mario Ferraro	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Anders Lee	Claude Giroux	Nikolaj Ehlers	Devon Toews	Jacob Trouba

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Sean Kuraly	Claude Giroux	Kevin Hayes	Devon Toews	Jacob Trouba

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Nikolaj Ehlers, Mikael Backlund, Nazem Kadri	Nikolaj Ehlers, Mikael Backlund	Nikolaj Ehlers

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mario Ferraro, Justin Braun, Dillon Heatherington	Mario Ferraro	Mario Ferraro, Justin Braun

Tirs de pénalité
Claude Giroux, Martin Necas, Kevin Hayes, Anders Lee, Nikolaj Ehlers

Gardien
#1 : Robin Lehner, #2 : Jonathan Bernier

Lignes d’attaque personnalisées en prolongation
Claude Giroux, Martin Necas, Kevin Hayes, Anders Lee, Nikolaj Ehlers, Mikael Backlund, Mikael Backlund, Nazem Kadri, Joel Farabee, Brad Richardson, Sean Kuraly

Lignes de défense personnalisées en prolongation
Devon Toews, Jacob Trouba, Dmitry Orlov, Mario Ferraro, Justin Braun

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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

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

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
0	0	0.00%	0	0	0.00%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
0	0	0	0	0	0	0	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
0	0	0.00%	0	0	0.00%	0	0	0.00%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
0	0	0	0	0	0

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	RI	Lien

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	66,418,690$	29,225,000$	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
0$	0$	0$	15	0

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

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	970,099,920$	970,099,920$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	81,500,000$	81,500,000$	-60,200,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Nikolaj Ehlers	AGE:24	PO:0	OV:72
Anders Lee	AGE:30	PO:0	OV:72
Joel Farabee	AGE:20	PO:0	OV:71
Bokondji Imama	AGE:24	PO:0	OV:62
CJ Suess	AGE:26	PO:0	OV:61
Gabriel Fontaine	AGE:23	PO:0	OV:59

Nazem Kadri	AGE:30	PO:0	OV:73
Martin Necas	AGE:21	PO:0	OV:71
Mikael Backlund	AGE:31	PO:0	OV:70
Kevin Hayes	AGE:28	PO:0	OV:70
Sean Kuraly	AGE:27	PO:0	OV:68
Morgan Frost	AGE:21	PO:0	OV:65
Justin Richards	AGE:22	PO:0	OV:64
J.C. Beaudin	AGE:23	PO:0	OV:60

Claude Giroux	AGE:32	PO:0	OV:73
Keegan Kolesar	AGE:23	PO:0	OV:66
Brad Richardson	AGE:35	PO:0	OV:64

Défense #1

Défense #2

Gardien

Devon Toews	AGE:26	PO:0	OV:72
Jacob Trouba	AGE:26	PO:0	OV:71
Dmitry Orlov	AGE:29	PO:0	OV:71
Mario Ferraro	AGE:22	PO:0	OV:68

Justin Braun	AGE:33	PO:0	OV:67
Dillon Heatherington	AGE:25	PO:0	OV:62
Chris Bigras	AGE:25	PO:0	OV:59
Gustav Olofsson	AGE:25	PO:0	OV:59

Robin Lehner	AGE:29	PO:0	OV:74
Jonathan Bernier	AGE:32	PO:0	OV:68
Jon Gillies	AGE:26	PO:0	OV:65
Hunter Miska	AGE:25	PO:0	OV:64
Keith Kinkaid	AGE:31	PO:0	OV:64
Michael Houser	AGE:28	PO:0	OV:64
Antoine Bibeau	AGE:26	PO:0	OV:62
Tyler Wall	AGE:22	PO:0	OV:58

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	Lien
Andrei Markov	Flyers
Arvid Costmar	Flyers	9	124
Bobby Butler	Flyers			Lien
Boo Nieves	Flyers			Lien
Brandon Crawley	Flyers			Lien
Christoffer Ehn	Flyers			Lien
Conner Hurley	Flyers	3	77
Dan Girardi	Flyers			Lien
Dan Hamhuis	Flyers			Lien
Dennis Rasmussen	Flyers
Deryk Engelland	Flyers			Lien
Emil Andrae	Flyers	10	83
Greg Rallo	Flyers
Gustav Possler	Flyers	3	68
Hayden Hawkey	Flyers	4	153
Henri Ikonen	Flyers
Jakub Kindl	Flyers
Joel Vermin	Flyers
Matt Niskanen	Flyers			Lien
Matt Read	Flyers			Lien
Mikhail Vorobyev	Flyers			Lien
Mikko Koivu	Flyers			Lien
Rodion Amirov	Flyers	10	25
Tyson Foerster	Flyers	10	19
Valentin Zykov	Flyers			Lien
Viktor Loov	Flyers
Zayde Wisdom	Flyers	10	85

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6
11
12
13
14
15

[2022-05-14 9:10:21 PM] - Phantoms was eliminated at round 1 of year 10.
[2022-04-30 11:39:30 PM] - Flyers didn't make playoff for year 10.
[2022-03-22 8:23:11 PM] - TRADE : From Flyers to Rangers : Nate Thompson (67).
[2022-03-22 8:23:11 PM] - TRADE : From Rangers to Flyers : Y:12-RND:6-NYR.
[2022-03-22 8:22:16 PM] - TRADE : From Penguins to Flyers : Deryk Engelland (67), Y:12-RND:6-EDM.
[2022-03-22 8:22:16 PM] - TRADE : From Flyers to Penguins : Tobias Rieder (66), Oscar Fantenberg (66), Y:11-RND:6-CAR.
[2022-02-23 7:38:11 PM] - Flyers hired Rick Tocchet for $100,000 for 9 year(s).
[2022-02-23 7:38:10 PM] - Flyers fired Dominique Ducharme.
[2021-11-13 9:30:00 PM] - Mikko Koivu has been selected as assistant for Flyers.
[2021-11-13 9:30:00 PM] - Kevin Hayes is no longer as assistant for Flyers.
[2021-11-06 9:54:32 PM] - Riley Nash is no longer as assistant for Phantoms.
[2021-11-06 9:54:32 PM] - Dan Hamhuis has been selected as assistant for Phantoms.
[2021-11-06 9:54:32 PM] - Gustav Olofsson is no longer as assistant for Phantoms.
[2021-11-06 9:54:32 PM] - Riley Nash has been selected as captain for Phantoms.
[2021-11-06 9:54:32 PM] - Matt Read is no longer captain for Phantoms.
[2021-10-29 8:44:31 PM] - TRADE : From Flyers to Devils : Oskar Lindblom (69), Ondrej Kase (67), Michael Grabner (68), Martin Frk (67), Y:11-RND:3-PHI, Y:12-RND:3-PHI.
[2021-10-29 8:44:31 PM] - TRADE : From Devils to Flyers : Mikael Backlund (71), Brad Richardson (68), Nate Thompson (67).
[2021-09-27 7:52:02 PM] - Riley Nash has been selected as assistant for Phantoms.
[2021-09-27 7:52:02 PM] - Unknown Player is no longer as assistant for Phantoms.
[2021-09-27 7:52:02 PM] - Gustav Olofsson has been selected as assistant for Phantoms.
[2021-09-27 7:52:02 PM] - Unknown Player is no longer as assistant for Phantoms.
[2021-09-17 9:49:36 PM] - TRADE : From Flyers to Sharks : Evan Rodrigues (66), Y:13-RND:4-PHI.
[2021-09-17 9:49:36 PM] - TRADE : From Sharks to Flyers : Mikko Koivu (68), Y:11-RND:6-PHI.
[2021-09-17 9:49:06 PM] - TRADE : From Flyers to Panthers : Y:11-RND:2-FLO.
[2021-09-17 9:49:06 PM] - TRADE : From Panthers to Flyers : Jonathan Bernier (73).
[2021-09-11 7:01:20 PM] - Kevin Hayes has been selected as assistant for Flyers.
[2021-09-11 7:01:20 PM] - Jacob Trouba is no longer as assistant for Flyers.
[2021-09-11 7:01:20 PM] - Anders Lee has been selected as assistant for Flyers.
[2021-09-11 7:01:20 PM] - Kevin Hayes is no longer as assistant for Flyers.
[2021-09-11 9:34:06 AM] - Flyers hired Dominique Ducharme for $100,000 for 9 year(s).
[2021-09-10 9:31:17 PM] - TRADE : From Jets to Flyers : Anders Lee (72), Dmitry Orlov (71), Mario Ferraro (68), Matt Niskanen (71), Y:11-RND:6-CAR.
[2021-09-10 9:31:17 PM] - TRADE : From Flyers to Jets : Christian Fischer (67), Dylan DeMelo (67), Y:11-RND:1-PHI, Y:11-RND:2-VGK, Y:12-RND:1-PHI, Y:13-RND:3-PHI.

[2022-06-28 9:08:18 PM] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2022-06-28 9:08:18 PM] Keegan Kolesar of Flyers was sent to pro.
[2022-06-28 9:08:17 PM] Dillon Heatherington of Flyers was sent to pro.
[2022-05-21 9:06:15 PM] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.

Pas de blessure ou de suspension.

Afficher ou masquer des colonnes

	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
Saison régulière
2	82	41	31	0	2	2	3	3	257	214	43	41	20	17	0	0	1	3	0	134	112	22	41	21	14	0	2	1	0	3	123	102	21	97	257	456	713	4	6	0	84	81	87	2799	0	919	940	920	2275	623	834	1518	368	71	19.29%	324	46	85.80%	2	1663	3164	52.56%	1426	2710	52.62%	664	1268	52.37%	2085	1472	1849	596	1027	525
3	82	35	25	0	7	1	6	8	230	195	35	41	17	11	0	4	0	3	6	117	103	14	41	18	14	0	3	1	3	2	113	92	21	105	230	404	634	3	8	0	83	66	68	2578	0	851	836	848	2105	621	1031	1623	345	46	13.33%	349	46	86.82%	3	1555	3015	51.58%	1336	2661	50.21%	601	1203	49.96%	2089	1470	1886	591	1030	522
4	82	40	30	0	0	7	3	2	226	207	19	41	26	11	0	0	3	0	1	128	99	29	41	14	19	0	0	4	3	1	98	108	-10	95	226	398	624	0	5	0	77	78	68	2354	0	746	764	834	2150	623	672	1796	247	38	15.38%	256	55	78.52%	1	1411	2758	51.16%	1384	2662	51.99%	657	1231	53.37%	1998	1397	1903	605	1055	521
5	82	47	23	0	4	3	3	2	285	205	80	41	24	12	0	2	2	1	0	138	91	47	41	23	11	0	2	1	2	2	147	114	33	113	285	510	795	3	6	0	92	90	96	2677	0	855	863	940	2221	600	564	1634	273	56	20.51%	229	40	82.53%	0	1593	2974	53.56%	1396	2636	52.96%	741	1346	55.05%	2054	1432	1831	597	1072	547
6	82	31	34	0	6	6	3	2	231	252	-21	41	14	16	0	5	3	3	0	125	128	-3	41	17	18	0	1	3	0	2	106	124	-18	88	231	425	656	2	0	0	79	74	69	2631	0	865	880	855	2586	688	683	1935	306	54	17.65%	273	58	78.75%	1	1568	2973	52.74%	1538	2901	53.02%	679	1263	53.76%	2037	1447	1916	581	1013	510
7	82	46	19	0	5	8	2	2	258	206	52	41	27	6	0	2	3	2	1	136	94	42	41	19	13	0	3	5	0	1	122	112	10	116	258	460	718	1	4	0	84	84	83	2649	0	843	894	888	2392	689	624	1874	281	54	19.22%	260	52	80.00%	2	1540	2930	52.56%	1447	2736	52.89%	614	1196	51.34%	2070	1484	1888	568	1000	509
8	82	37	27	0	4	2	6	6	224	194	30	41	22	11	0	2	2	2	2	119	90	29	41	15	16	0	2	0	4	4	105	104	1	102	224	405	629	1	3	0	75	59	80	2315	0	792	732	735	2251	658	813	1940	376	70	18.62%	347	49	85.88%	2	1531	2840	53.91%	1428	2793	51.13%	614	1194	51.42%	2036	1411	1913	615	1046	525
9	82	35	34	0	10	0	2	1	248	230	18	41	14	20	0	4	0	2	1	115	111	4	41	21	14	0	6	0	0	0	133	119	14	95	248	441	689	1	5	0	90	83	63	2397	0	800	816	753	2450	705	856	1955	314	66	21.02%	354	60	83.05%	5	1444	2841	50.83%	1488	2951	50.42%	614	1234	49.76%	1949	1342	1964	610	1034	513
10	82	31	33	0	7	5	3	3	250	234	16	41	17	17	0	4	1	1	1	129	111	18	41	14	16	0	3	4	2	2	121	123	-2	90	250	450	700	6	5	90	89	61	12	2544	798	842	860	66	2450	665	589	1843	247	46	18.62%	254	47	81.50%	3	1543	2893	53.34%	1489	2822	52.76%	713	1304	54.68%	2010	1405	1902	592	1059	531
Total Saison régulière	738	343	256	0	45	34	31	29	2209	1937	272	369	181	121	0	23	15	17	12	1141	939	202	369	162	135	0	22	19	14	17	1068	998	70	901	2209	3949	6158	21	42	90	753	676	626	22944	798	7513	7585	6839	20880	5872	6666	16118	2757	501	18.17%	2646	453	82.88%	19	13848	26388	52.48%	12932	24872	51.99%	5897	11239	52.47%	18332	12862	17056	5359	9339	4707
Séries éliminatoires
2	25	16	9	0	0	0	0	0	80	69	11	11	7	4	0	0	0	0	0	38	27	11	14	9	5	0	0	0	0	0	42	42	0	32	80	146	226	0	2	0	23	32	22	849	0	208	289	254	864	268	297	520	115	22	19.13%	101	16	84.16%	0	501	980	51.12%	508	1000	50.80%	194	391	49.62%	678	476	645	204	346	172
3	17	10	7	0	0	0	0	0	44	41	3	9	4	5	0	0	0	0	0	24	28	-4	8	6	2	0	0	0	0	0	20	13	7	20	44	80	124	0	1	0	8	20	15	462	0	122	159	165	428	122	242	369	90	8	8.89%	66	8	87.88%	0	307	616	49.84%	272	559	48.66%	115	239	48.12%	447	312	383	124	213	110
4	4	0	4	0	0	0	0	0	9	13	-4	2	0	2	0	0	0	0	0	5	7	-2	2	0	2	0	0	0	0	0	4	6	-2	0	9	16	25	0	0	0	4	1	4	101	0	28	33	39	116	28	30	101	8	1	12.50%	9	1	88.89%	0	64	127	50.39%	59	122	48.36%	38	65	58.46%	98	69	93	28	54	27
5	24	13	11	0	0	0	0	0	63	59	4	13	6	7	0	0	0	0	0	36	39	-3	11	7	4	0	0	0	0	0	27	20	7	26	63	112	175	1	4	0	24	19	19	828	0	251	246	244	819	236	188	462	77	15	19.48%	78	13	83.33%	0	519	956	54.29%	483	942	51.27%	197	379	51.98%	611	426	614	190	328	160
7	20	16	4	0	0	0	0	0	77	46	31	11	8	3	0	0	0	0	0	40	26	14	9	8	1	0	0	0	0	0	37	20	17	32	77	139	216	0	0	0	30	21	23	701	0	221	209	256	588	157	138	447	63	11	17.46%	56	11	80.36%	0	384	723	53.11%	363	700	51.86%	175	337	51.93%	503	360	473	142	253	129
8	27	16	11	0	0	0	0	0	77	75	2	13	8	5	0	0	0	0	0	36	30	6	14	8	6	0	0	0	0	0	41	45	-4	32	77	137	214	1	0	0	28	20	23	830	0	248	250	272	822	227	332	634	115	22	19.13%	131	22	83.21%	1	521	1050	49.62%	566	1033	54.79%	224	432	51.85%	691	471	687	220	373	184
9	9	4	5	0	0	0	0	0	31	27	4	4	1	3	0	0	0	0	0	11	13	-2	5	3	2	0	0	0	0	0	20	14	6	8	31	54	85	1	0	0	8	10	13	276	0	107	85	83	285	92	77	197	26	5	19.23%	32	5	84.38%	0	152	313	48.56%	152	329	46.20%	80	146	54.79%	215	149	215	65	113	56
Total Séries éliminatoires	126	75	51	0	0	0	0	0	381	330	51	63	34	29	0	0	0	0	0	190	170	20	63	41	22	0	0	0	0	0	191	160	31	150	381	684	1065	3	7	0	125	123	119	4047	0	1185	1271	1313	3922	1130	1304	2730	494	84	17.00%	473	76	83.93%	1	2448	4765	51.37%	2403	4685	51.29%	1023	1989	51.43%	3246	2265	3113	977	1683	841

	Flyers
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Francois Gamache \| Morale : 50 \| Moyenne d’équipe : 69