Canadian Hockey League

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Meneurs d'équipe

Stats Équipe

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Sebastien Lessard
	Entraîneur	Craig Berube
	Division	Metropolitan
	Conférence	Eastern
	Capitaine	Auston Matthews
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Philadelphia Coliseum
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	22
	Équipe Mineure	28
	Limite contact	50 / 50
	Espoirs	19
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	90,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
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	253,297,182$
	Compte bancaire projeté	253,297,182$
Historique d'équipe
	Saison actuelle	0-0
	Historique	873-713-119 (0.512%)
	Apparitions séries éliminatoires	11
	Historique séries éliminatoires (W-L)	44-54
	Stanley Cup	0

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Auston Matthews (C)	X				100.00	56	56	84	94	76	89	89	93	92	95	90	94	75	78	84	55	50	84	0	28	7	1$
2	Timo Meier		X			100.00	81	59	76	85	73	84	98	72	40	68	77	75	67	80	82	50	33	73	0	29	4	5,750,000$
3	Conor Garland			X		100.00	54	43	77	89	40	86	98	70	40	71	69	74	79	80	83	50	49	71	0	29	1	5,000,000$
4	Cole Sillinger	X				100.00	66	53	79	83	64	83	88	66	81	67	64	73	40	66	75	85	57	69	0	22	3	3,200,000$
5	Mike Amadio	X				100.00	75	49	85	80	63	78	92	60	86	58	63	75	40	80	79	50	49	68	0	29	2	2,100,000$
6	Evgeny Dadonov		X			100.00	53	44	88	85	53	77	98	66	40	61	71	61	54	94	86	15	35	68	0	36	2	3,000,000$
7	J.T. Compher			X		100.00	49	46	84	82	56	82	95	62	80	63	62	73	40	82	82	45	49	67	0	30	3	6,100,000$
8	Max Domi	X				100.00	50	60	69	83	62	79	94	63	85	68	59	65	55	82	81	45	49	67	0	30	1	5,000,000$
9	Eric Robinson			X		100.00	75	53	88	79	71	75	99	61	40	58	64	66	40	82	79	45	49	67	0	30	3	3,000,000$
10	Martin Pospisil			X		100.00	99	54	69	80	52	77	98	58	76	61	54	67	40	74	76	65	39	66	0	26	1	1,440,000$
11	Yegor Chinakhov			X		100.00	77	50	87	83	64	81	64	66	40	62	69	61	80	70	76	75	53	66	0	24	1	1,017,500$
12	Matias Maccelli		X			100.00	43	44	87	81	52	77	81	58	40	55	62	60	40	72	75	70	47	62	0	25	5	6,000,000$
13	Martin Fehervary				X	100.00	80	54	84	78	67	82	98	59	40	60	58	87	40	74	78	65	50	73	0	26	2	2,900,000$
14	Luke Hughes				X	100.00	46	50	85	85	64	85	92	72	40	83	62	72	40	66	76	85	40	71	0	22	2	925,000$
15	Ilya Lyubushkin				X	100.00	65	50	82	75	65	79	98	52	40	53	52	77	40	84	82	40	49	69	0	31	2	3,500,000$
16	J.J. Moser				X	100.00	55	46	82	78	56	81	80	56	40	58	55	86	40	72	77	70	49	69	0	25	6	4,000,000$
17	Mason Lohrei				X	100.00	48	58	86	78	81	82	96	64	40	70	58	68	40	70	76	75	43	69	0	24	1	750,000$
18	Henri Jokiharju				X	100.00	60	48	85	77	61	79	84	53	40	50	56	74	40	74	77	65	50	67	0	26	1	1,850,000$
Rayé
1	Miles Wood		X			100.00	70	60	64	76	63	74	68	54	40	49	59	61	40	82	78	45	20	61	0	30	2	2,500,000$
2	Brendan Smith				X	100.00	70	69	69	76	65	72	65	53	40	53	54	67	40	94	83	15	20	65	0	36	1	2,000,000$
Équipe Mineure
1	Jonny Brodzinski	X				100.00	52	51	88	80	67	74	78	60	83	51	69	66	40	86	80	35	24	64	0	32	1	800,000$
2	Riley Tufte		X			100.00	61	59	69	75	88	67	57	55	40	50	60	70	90	76	72	60	29	62	0	27	1	700,000$
3	Mackenzie MacEachern		X			100.00	72	49	63	78	63	60	50	58	40	61	55	70	40	84	72	40	24	61	0	31	1	650,000$
4	Ross Johnston			X		100.00	99	80	57	75	87	69	72	49	40	46	52	63	40	84	77	40	26	61	0	31	1	725,000$
5	Stephen Halliday	X				100.00	59	44	76	75	75	80	70	54	70	57	52	50	73	68	74	80	25	60	0	23	2	925,000$
6	Liam O'Brien	X				100.00	99	85	54	75	71	70	62	48	40	46	50	64	40	84	77	40	24	59	0	31	1	650,000$
7	Sheldon Dries	X				100.00	71	50	79	78	45	74	64	50	70	39	62	66	40	84	79	40	26	59	0	31	1	650,000$
8	Patrick Giles (R)			X		100.00	69	58	90	75	80	70	55	47	69	40	55	62	40	72	71	70	25	58	0	25	3	850,000$
9	Kai Uchacz (R)		X			100.00	73	60	68	84	68	77	67	43	40	38	48	52	40	66	72	85	24	56	0	22	2	950,000$
10	Parker Ford (R)			X		100.00	55	49	72	91	50	60	50	46	40	34	58	67	40	72	66	70	24	56	0	25	3	950,000$
11	Emmitt Finnie (R)	X				100.00	64	45	90	86	59	60	50	46	70	53	38	56	40	62	61	95	28	55	0	20	3	950,000$
12	Matyas Sapovaliv (R)		X			100.00	76	54	84	80	71	80	70	36	40	29	43	50	99	64	72	90	28	54	0	21	3	925,000$
13	Lian Bichsel				X	100.00	99	69	68	75	91	74	69	57	40	51	63	67	40	64	69	90	32	68	0	21	2	925,000$
14	Calle Rosen				X	100.00	48	46	82	76	56	66	61	51	40	52	50	70	40	84	75	40	24	61	0	31	1	700,000$
15	Cam Dineen				X	100.00	55	44	83	81	54	63	58	58	40	67	49	61	40	76	70	60	24	61	0	27	1	700,000$
16	Montana Onyebuchi				X	100.00	79	86	55	75	77	68	63	32	40	29	36	66	40	72	70	70	25	60	0	25	1	632,500$
17	Philip Kemp				X	100.00	82	61	76	75	73	60	55	36	40	27	45	65	40	74	67	65	24	59	0	26	1	632,500$
18	Nick Cicek				X	100.00	81	64	68	75	67	55	50	36	40	35	37	63	40	72	64	70	24	58	0	25	1	632,500$
19	Glenn Gawdin	X				100.00	64	56	74	80	64	81	71	60	40	61	60	70	99	78	80	55	18	65	0	28	1	700,000$
20	Oskar Pettersson			X		100.00	52	39	82	75	70	76	66	34	40	27	41	59	40	68	72	80	20	52	0	23	2	925,000$
21	Coulson Pitre (R)			X		100.00	61	46	84	86	56	70	60	36	40	37	34	53	40	64	67	90	20	52	0	21	3	925,000$
22	James Stefan (R)			X		100.00	59	44	86	87	54	60	50	28	40	20	35	50	40	66	63	85	20	47	0	22	2	950,000$
23	Josh Filmon (R)		X			100.00	48	38	87	88	43	60	50	25	40	20	30	57	40	64	62	90	20	46	0	21	2	950,000$
24	Artem Guryev				X	100.00	75	70	38	75	79	55	50	32	40	25	38	60	40	66	61	85	19	56	0	22	2	925,000$
25	Artem Grushnikov				X	100.00	58	50	82	75	63	65	60	29	40	25	32	50	40	66	66	85	20	53	0	22	2	925,000$

	MOYENNE D’ÉQUIPE					100.00	66	54	77	80	65	73	73	53	49	51	54	66	48	75	74	63	33	63

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Samuel Montembeault	100.00	88	99	99	95	81	82	83	83	82	81	85	80	81	50	82	84	0	29	8	5,000,000$
2	Ukko-Pekka Luukkonen	100.00	87	97	99	99	72	70	72	72	72	74	85	74	72	65	51	77	0	26	1	3,600,000$
Rayé
Équipe Mineure
1	Nikita Tolopilo (R)	100.00	75	64	66	99	50	52	52	50	50	52	91	72	62	70	29	60	0	25	3	950,000$
2	Isaac Poulter	100.00	88	64	67	85	50	50	50	50	50	50	50	70	60	75	31	58	0	24	1	800,000$
3	Jiri Patera	100.00	75	50	60	95	50	50	50	50	50	50	60	74	62	65	20	58	0	26	1	700,000$

	MOYENNE D’ÉQUIPE	100.00	83	75	78	95	61	61	61	61	61	61	74	74	67	65	43	67

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Craig Berube	92	92	93	85	95	77	50	CAN	60	4	5,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	2044	2045	2046	Link
Auston Matthews	Flyers	C	28	1997-09-17	No	217 Lbs	6 ft3	Yes	No	Yes	7	Pro Only	1$	1$	0$	No	12,500,000$	12,500,000$	12,500,000$	12,500,000$	12,500,000$	12,500,000$	UFA	Lien / Lien NHL
Brendan Smith	Flyers	D	36	1989-02-08	No	200 Lbs	6 ft2	Yes	No	No	1	Pro & Farm	2,000,000$	2,000,000$	190,476$	No	UFA							Lien / Lien NHL
Cole Sillinger	Flyers	C	22	2003-05-16	No	202 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	3,200,000$	3,200,000$	304,762$	No	3,200,000$	3,200,000$	RFA					Lien / Lien NHL
Conor Garland	Flyers	RW	29	1996-03-11	No	165 Lbs	5 ft10	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	476,190$	No	UFA							Lien / Lien NHL
Eric Robinson	Flyers	RW	30	1995-06-14	No	211 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	3,000,000$	3,000,000$	285,714$	No	3,000,000$	3,000,000$	UFA					Lien / Lien NHL
Evgeny Dadonov	Flyers	LW	36	1989-03-12	No	188 Lbs	5 ft11	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	285,714$	No	3,000,000$	UFA						Lien / Lien NHL
Henri Jokiharju	Flyers	D	26	1999-06-17	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,850,000$	1,850,000$	176,190$	No	RFA							Lien / Lien NHL
Ilya Lyubushkin	Flyers	D	31	1994-04-06	No	200 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	333,333$	No	3,500,000$	UFA						Lien / Lien NHL
J.J. Moser	Flyers	D	25	2000-06-06	No	181 Lbs	6 ft2	No	No	Yes	6	Pro & Farm	4,000,000$	4,000,000$	380,952$	No	4,000,000$	4,000,000$	4,000,000$	4,000,000$	4,000,000$	UFA		Lien / Lien NHL
J.T. Compher	Flyers	RW	30	1995-04-08	No	190 Lbs	6 ft0	No	No	Yes	3	Pro Only	6,100,000$	6,100,000$	580,952$	No	6,100,000$	6,100,000$	UFA					Lien / Lien NHL
Luke Hughes	Flyers	D	22	2003-09-09	No	198 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	925,000$	88,095$	No	925,000$	RFA						Lien / Lien NHL
Martin Fehervary	Flyers	D	26	1999-10-06	No	203 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	2,900,000$	2,900,000$	276,190$	No	2,900,000$	UFA						Lien / Lien NHL
Martin Pospisil	Flyers	RW	26	1999-11-19	No	173 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,440,000$	1,440,000$	137,143$	No	RFA							Lien / Lien NHL
Mason Lohrei	Flyers	D	24	2001-01-17	No	220 Lbs	6 ft5	No	No	No	1	Pro & Farm	750,000$	750,000$	71,429$	No	RFA							Lien / Lien NHL
Matias Maccelli	Flyers	LW	25	2000-10-14	No	185 Lbs	5 ft11	No	No	Yes	5	Pro Only	6,000,000$	6,000,000$	571,429$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	UFA			Lien / Lien NHL
Max Domi	Flyers	C	30	1995-03-02	No	209 Lbs	5 ft10	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	476,190$	No	UFA							Lien / Lien NHL
Mike Amadio	Flyers	C	29	1996-05-13	No	199 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	2,100,000$	2,100,000$	200,000$	No	2,100,000$	UFA						Lien / Lien NHL
Miles Wood	Flyers	LW	30	1995-09-13	No	195 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	238,095$	No	2,500,000$	UFA						Lien / Lien NHL
Samuel Montembeault	Flyers	G	29	1996-10-30	No	192 Lbs	6 ft3	No	No	Yes	8	Pro Only	5,000,000$	5,000,000$	476,190$	No	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	Lien / Lien NHL
Timo Meier	Flyers	LW	29	1996-10-08	No	220 Lbs	6 ft1	No	No	Yes	4	Pro Only	5,750,000$	5,750,000$	547,619$	No	5,750,000$	5,750,000$	5,750,000$	UFA				Lien / Lien NHL
Ukko-Pekka Luukkonen	Flyers	G	26	1999-03-09	No	220 Lbs	6 ft4	No	No	Yes	1	Pro & Farm	3,600,000$	3,600,000$	342,857$	No	RFA							Lien / Lien NHL
Yegor Chinakhov	Flyers	RW	24	2001-02-01	No	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,017,500$	1,017,500$	96,905$	No	RFA							Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	27.86	199 Lbs	6 ft1	2.68	3,119,659$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
68,632,501$	60,475,000$	45,550,000$	33,250,000$	27,500,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Timo Meier	Auston Matthews	Conor Garland	36	1	1	3
2	Evgeny Dadonov	Cole Sillinger	J.T. Compher	34	1	1	3
3	Martin Pospisil	Max Domi	Eric Robinson	20	1	2	2
4	Matias Maccelli	Mike Amadio	Yegor Chinakhov	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Martin Fehervary	Mason Lohrei	40	0	2	3
2	J.J. Moser	Luke Hughes	35	1	2	2
3	Henri Jokiharju	Ilya Lyubushkin	25	1	2	2
4	Martin Fehervary	Luke Hughes	0	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Timo Meier	Auston Matthews	Evgeny Dadonov	60	1	1	3
2	Yegor Chinakhov	Cole Sillinger	Conor Garland	40	1	1	3

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Martin Fehervary	Luke Hughes	60	1	2	2
2	Mason Lohrei	Henri Jokiharju	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Auston Matthews	Conor Garland	60	1	2	2
2	Mike Amadio	Cole Sillinger	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Martin Fehervary	J.J. Moser	60	1	2	2
2	Henri Jokiharju	Ilya Lyubushkin	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Auston Matthews	60	1	3	1	Martin Fehervary	J.J. Moser	60	1	3	1
2	Cole Sillinger	40	1	3	1	Henri Jokiharju	Ilya Lyubushkin	40	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Auston Matthews	Timo Meier	60	0	2	3
2	Cole Sillinger	Conor Garland	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Mason Lohrei	Luke Hughes	60	1	2	2
2	Martin Fehervary	J.J. Moser	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Timo Meier	Auston Matthews	Conor Garland	Martin Fehervary	Luke Hughes

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Timo Meier	Auston Matthews	Conor Garland	Martin Fehervary	Luke Hughes

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Max Domi, Eric Robinson, Martin Pospisil	Eric Robinson, Mike Amadio	Conor Garland

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ilya Lyubushkin, Henri Jokiharju, J.J. Moser	J.J. Moser	Luke Hughes, Mason Lohrei

Tirs de pénalité
Yegor Chinakhov, Conor Garland, Auston Matthews, Timo Meier, Max Domi

Gardien
#1 : Samuel Montembeault, #2 : Ukko-Pekka Luukkonen

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

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	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

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Timo Meier

AGE:29
SK:		85
EN:		84
DU:		98
PH:		72
PA:		68
SC:		77
DF:		75
Evgeny Dadonov

AGE:36
SK:		85
EN:		77
DU:		98
PH:		66
PA:		61
SC:		71
DF:		61
Matias Maccelli

AGE:25
SK:		81
EN:		77
DU:		81
PH:		58
PA:		55
SC:		62
DF:		60
Riley Tufte

AGE:27
SK:		75
EN:		67
DU:		57
PH:		55
PA:		50
SC:		60
DF:		70
Miles Wood

AGE:30
SK:		76
EN:		74
DU:		68
PH:		54
PA:		49
SC:		59
DF:		61
Mackenzie MacEachern

AGE:31
SK:		78
EN:		60
DU:		50
PH:		58
PA:		61
SC:		55
DF:		70
Kai Uchacz (R)

AGE:22
SK:		84
EN:		77
DU:		67
PH:		43
PA:		38
SC:		48
DF:		52
Matyas Sapovaliv (R)

AGE:21
SK:		80
EN:		80
DU:		70
PH:		36
PA:		29
SC:		43
DF:		50
Josh Filmon (R)

AGE:21
SK:		88
EN:		60
DU:		50
PH:		25
PA:		20
SC:		30
DF:		57

Auston Matthews

AGE:28
SK:		94
EN:		89
DU:		89
PH:		93
PA:		95
SC:		90
DF:		94
Cole Sillinger

AGE:22
SK:		83
EN:		83
DU:		88
PH:		66
PA:		67
SC:		64
DF:		73
Mike Amadio

AGE:29
SK:		80
EN:		78
DU:		92
PH:		60
PA:		58
SC:		63
DF:		75
Max Domi

AGE:30
SK:		83
EN:		79
DU:		94
PH:		63
PA:		68
SC:		59
DF:		65
Glenn Gawdin

AGE:28
SK:		80
EN:		81
DU:		71
PH:		60
PA:		61
SC:		60
DF:		70
Jonny Brodzinski

AGE:32
SK:		80
EN:		74
DU:		78
PH:		60
PA:		51
SC:		69
DF:		66
Stephen Halliday

AGE:23
SK:		75
EN:		80
DU:		70
PH:		54
PA:		57
SC:		52
DF:		50
Liam O'Brien

AGE:31
SK:		75
EN:		70
DU:		62
PH:		48
PA:		46
SC:		50
DF:		64
Sheldon Dries

AGE:31
SK:		78
EN:		74
DU:		64
PH:		50
PA:		39
SC:		62
DF:		66
Emmitt Finnie (R)

AGE:20
SK:		86
EN:		60
DU:		50
PH:		46
PA:		53
SC:		38
DF:		56

Conor Garland

AGE:29
SK:		89
EN:		86
DU:		98
PH:		70
PA:		71
SC:		69
DF:		74
J.T. Compher

AGE:30
SK:		82
EN:		82
DU:		95
PH:		62
PA:		63
SC:		62
DF:		73
Eric Robinson

AGE:30
SK:		79
EN:		75
DU:		99
PH:		61
PA:		58
SC:		64
DF:		66
Yegor Chinakhov

AGE:24
SK:		83
EN:		81
DU:		64
PH:		66
PA:		62
SC:		69
DF:		61
Martin Pospisil

AGE:26
SK:		80
EN:		77
DU:		98
PH:		58
PA:		61
SC:		54
DF:		67
Ross Johnston

AGE:31
SK:		75
EN:		69
DU:		72
PH:		49
PA:		46
SC:		52
DF:		63
Patrick Giles (R)

AGE:25
SK:		75
EN:		70
DU:		55
PH:		47
PA:		40
SC:		55
DF:		62
Parker Ford (R)

AGE:25
SK:		91
EN:		60
DU:		50
PH:		46
PA:		34
SC:		58
DF:		67
Coulson Pitre (R)

AGE:21
SK:		86
EN:		70
DU:		60
PH:		36
PA:		37
SC:		34
DF:		53
Oskar Pettersson

AGE:23
SK:		75
EN:		76
DU:		66
PH:		34
PA:		27
SC:		41
DF:		59
James Stefan (R)

AGE:22
SK:		87
EN:		60
DU:		50
PH:		28
PA:		20
SC:		35
DF:		50

Défense #1

Défense #2

Gardien

Martin Fehervary

AGE:26
SK:		78
EN:		82
DU:		98
PH:		59
PA:		60
SC:		58
DF:		87
Luke Hughes

AGE:22
SK:		85
EN:		85
DU:		92
PH:		72
PA:		83
SC:		62
DF:		72
Mason Lohrei

AGE:24
SK:		78
EN:		82
DU:		96
PH:		64
PA:		70
SC:		58
DF:		68
J.J. Moser

AGE:25
SK:		78
EN:		81
DU:		80
PH:		56
PA:		58
SC:		55
DF:		86
Ilya Lyubushkin

AGE:31
SK:		75
EN:		79
DU:		98
PH:		52
PA:		53
SC:		52
DF:		77
Lian Bichsel

AGE:21
SK:		75
EN:		74
DU:		69
PH:		57
PA:		51
SC:		63
DF:		67
Henri Jokiharju

AGE:26
SK:		77
EN:		79
DU:		84
PH:		53
PA:		50
SC:		56
DF:		74
Brendan Smith

AGE:36
SK:		76
EN:		72
DU:		65
PH:		53
PA:		53
SC:		54
DF:		67

Cam Dineen

AGE:27
SK:		81
EN:		63
DU:		58
PH:		58
PA:		67
SC:		49
DF:		61
Calle Rosen

AGE:31
SK:		76
EN:		66
DU:		61
PH:		51
PA:		52
SC:		50
DF:		70
Montana Onyebuchi

AGE:25
SK:		75
EN:		68
DU:		63
PH:		32
PA:		29
SC:		36
DF:		66
Philip Kemp

AGE:26
SK:		75
EN:		60
DU:		55
PH:		36
PA:		27
SC:		45
DF:		65
Nick Cicek

AGE:25
SK:		75
EN:		55
DU:		50
PH:		36
PA:		35
SC:		37
DF:		63
Artem Guryev

AGE:22
SK:		75
EN:		55
DU:		50
PH:		32
PA:		25
SC:		38
DF:		60
Artem Grushnikov

AGE:22
SK:		75
EN:		65
DU:		60
PH:		29
PA:		25
SC:		32
DF:		50

Samuel Montembeault

AGE:29
SK:		88
AG:		81
RB:		82
SC:		83
HS:		83
RT:		82
DF:		81
Ukko-Pekka Luukkonen

AGE:26
SK:		87
AG:		72
RB:		70
SC:		72
HS:		72
RT:		72
DF:		74
Nikita Tolopilo (R)

AGE:25
SK:		75
AG:		50
RB:		52
SC:		52
HS:		50
RT:		50
DF:		52
Isaac Poulter

AGE:24
SK:		88
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Jiri Patera

AGE:26
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
Alexis Mathieu	Flyers	2039	168
Anthony Allain-Samake	Flyers	2039	199
Ben Kevan	Flyers	2039	87
Bill Zonnon	Flyers	2039	21
Bryce Pickford	Flyers	2039	47
Cameron Macdonald	Flyers	2035	194
Connor Clattenburg	Flyers	2038	176
Dean Letourneau	Flyers	2038	43
Evan Nause	Flyers	2035	54
Hoyt Stanley	Flyers	2037	137
Jack Nesbitt	Flyers	2039	23
Kasper Pikkarainen	Flyers	2038	114
Ludvig Lafton	Flyers	2038	207
Matous Kucharcik	Flyers	2039	137
Sergei Ivanov	Flyers	2036	161
Tristan Broz	Flyers	2035	61
Vadim Moroz	Flyers	2037	106
Viktor Norringer	Flyers	2038	145
Will Skahan	Flyers	2038	83

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042

Flyers Leaders statistiques (saison régulière)

Afficher ou masquer des colonnes

#	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
1	Auston Matthews	571	421	414	835	149	271	675	2222	3069	13.72%	242	13992	24.50	118	132	250	755	15	10	25	96	69	19	53.72%	19	1.19	13	43
2	Alexei Semenov	1575	249	420	669	-1	1539	2124	2029	2593	9.60%	953	27071	17.19	40	67	107	291	6	15	21	69	35	23	49.89%	2	0.49	13	43
3	Jason Spezza	580	275	388	663	102	174	361	1573	2210	12.44%	200	13365	23.04	73	143	216	520	10	4	14	60	35	14	55.78%	9	0.99	20	58
4	Clayton Keller	460	182	269	451	30	62	164	1033	1664	10.94%	116	9274	20.16	45	92	137	392	3	5	8	34	22	8	34.62%	4	0.97	5	28
5	Kyle Okposo	703	174	263	437	6	527	1052	925	1736	10.02%	124	13943	19.83	51	115	166	441	1	1	2	26	19	16	40.07%	2	0.63	11	43

Flyers Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Cory Schneider	201	107	71	11	0.909	2.89	11557	24	11	557	6119	10	5	0.786	103
2	Logan Thompson	174	95	58	11	0.904	3.05	10061	16	6	512	5334	7	0	0.800	25
3	Jaroslav Halak	210	89	100	11	0.896	3.12	11926	16	14	621	5953	7	3	0.833	90
4	Ben Bishop	126	69	41	10	0.900	3.00	7258	25	5	363	3617	6	1	0.667	24
5	Chris Driedger	158	67	67	10	0.904	3.17	8757	24	6	463	4833	14	1	0.695	59

Flyers Statistiques de l'Équipe de Carrière

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
2017	82	30	31	0	1	7	7	6	227	245	-18	41	15	16	0	1	2	3	4	113	119	-6	41	15	15	0	0	5	4	2	114	126	-12	69	227	353	580	1	2	0	69	63	87	2242	0	718	704	796	2410	834	1241	1813	257	25	9.73%	264	40	84.85%	6	933	1830	50.98%	1032	1962	52.60%	665	1306	50.92%	1769	961	1801	843	1586	815
2018	82	39	26	0	4	1	5	7	266	211	55	41	17	14	0	3	0	2	5	133	112	21	41	22	12	0	1	1	3	2	133	99	34	87	266	425	691	0	4	0	73	76	108	2524	0	839	801	857	2434	776	1167	2012	218	42	19.27%	233	35	84.98%	11	1007	1957	51.46%	1008	1961	51.40%	688	1347	51.08%	1799	1026	1669	744	1523	772
2019	82	37	28	0	4	3	8	2	236	206	30	41	17	14	0	2	2	6	0	117	109	8	41	20	14	0	2	1	2	2	119	97	22	85	236	359	595	2	6	0	59	83	82	2251	0	640	766	819	2328	791	856	1777	232	36	15.52%	177	26	85.31%	5	986	1826	54.00%	979	1867	52.44%	575	1113	51.66%	1747	949	1625	769	1604	823
2020	82	28	35	0	1	5	6	7	216	243	-27	41	15	20	0	0	1	1	4	106	121	-15	41	13	15	0	1	4	5	3	110	122	-12	63	216	340	556	5	2	0	63	67	79	2305	0	684	730	863	2357	839	1148	1746	222	41	18.47%	237	48	79.75%	4	997	1923	51.85%	921	1886	48.83%	616	1175	52.43%	1685	892	1684	787	1620	821
2021	82	44	19	0	2	3	9	5	283	205	78	41	27	9	0	1	0	2	2	151	97	54	41	17	10	0	1	3	7	3	132	108	24	95	283	486	769	3	11	0	96	94	82	2652	0	852	907	857	2145	710	959	1710	448	80	17.86%	403	69	82.88%	3	1711	3134	54.59%	1423	2755	51.65%	684	1257	54.42%	2160	1532	1824	587	1018	534
2022	82	27	41	0	1	4	7	2	206	245	-39	41	15	19	0	1	3	2	1	110	124	-14	41	12	22	0	0	1	5	1	96	121	-25	60	206	351	557	0	7	0	75	70	53	2298	0	790	736	754	2450	702	1026	1847	415	61	14.70%	419	87	79.24%	5	1536	2879	53.35%	1535	2942	52.18%	673	1235	54.49%	2057	1440	1892	596	1026	517
2023	82	42	28	0	2	4	4	2	302	257	45	41	20	11	0	1	3	4	2	156	126	30	41	22	17	0	1	1	0	0	146	131	15	92	302	527	829	1	2	0	112	87	97	2684	0	861	862	938	2418	694	910	1729	460	97	21.09%	418	93	77.75%	3	1653	3042	54.34%	1508	2903	51.95%	697	1330	52.41%	2018	1409	1924	607	1019	511
2024	82	41	32	0	2	1	3	3	318	260	58	41	19	19	0	1	0	1	1	159	129	30	41	22	13	0	1	1	2	2	159	131	28	96	318	562	880	5	7	0	111	109	93	2711	0	904	910	873	2560	736	930	1713	474	112	23.63%	393	82	79.13%	3	1692	3117	54.28%	1520	2997	50.72%	670	1342	49.93%	2060	1451	1886	600	1010	510
2025	82	49	23	0	1	4	1	4	309	236	73	41	26	10	0	1	2	1	1	163	116	47	41	23	13	0	0	2	0	3	146	120	26	110	309	550	859	0	3	0	114	96	97	2537	0	799	906	822	2459	675	979	1732	459	109	23.75%	407	87	78.62%	6	1668	3065	54.42%	1505	2885	52.17%	720	1331	54.09%	2076	1441	1844	604	1029	522
2026	82	39	33	0	0	2	6	2	272	274	-2	41	19	20	0	0	0	2	0	122	134	-12	41	20	13	0	0	2	4	2	150	140	10	94	272	468	740	3	0	0	100	101	65	2435	0	829	811	778	2647	712	1117	1811	420	78	18.57%	443	98	77.88%	5	1495	2903	51.50%	1486	3135	47.40%	629	1355	46.42%	1981	1383	1971	609	1009	499
2027	82	39	35	0	1	2	3	2	280	267	13	41	21	16	0	0	0	3	1	145	130	15	41	18	19	0	1	2	0	1	135	137	-2	90	280	507	787	0	3	0	93	114	69	2357	0	767	813	768	2647	748	1077	1978	402	104	25.87%	451	100	77.83%	5	1210	2769	43.70%	1252	3121	40.12%	566	1353	41.83%	1982	1371	1943	603	1020	510
2030	82	34	31	0	2	0	11	4	250	241	9	41	20	12	0	2	0	4	3	133	114	19	41	14	19	0	0	0	7	1	117	127	-10	98	250	435	685	2	8	0	82	73	82	2538	0	831	809	867	2654	795	965	1845	395	84	21.27%	436	81	81.42%	0	1534	3046	50.36%	1406	3133	44.88%	622	1254	49.60%	1955	1332	2000	622	1042	518
2031	82	35	35	0	0	0	5	7	275	277	-2	41	16	21	0	0	0	3	1	131	143	-12	41	19	14	0	0	0	2	6	144	134	10	87	275	474	749	3	3	0	96	91	83	2486	0	783	852	830	2750	808	897	1875	396	79	19.95%	415	78	81.20%	3	1308	2923	44.75%	1388	3204	43.32%	604	1334	45.28%	1903	1297	2050	625	1026	498
2032	82	31	39	0	1	1	6	4	263	293	-30	41	16	20	0	0	1	3	1	122	138	-16	41	15	19	0	1	0	3	3	141	155	-14	81	263	457	720	0	1	0	102	81	73	2444	0	801	828	784	2854	842	952	1864	385	74	19.22%	398	73	81.66%	2	1291	2895	44.59%	1451	3292	44.08%	606	1330	45.56%	1839	1238	2108	626	1028	493
2033	82	16	57	0	0	4	3	2	225	324	-99	41	11	26	0	0	2	2	0	127	166	-39	41	5	31	0	0	2	1	2	98	158	-60	44	225	399	624	0	3	0	88	63	71	2174	0	728	664	769	2706	799	1024	1862	394	67	17.01%	451	98	78.27%	6	1295	2711	47.77%	1412	3068	46.02%	630	1349	46.70%	1862	1243	2052	626	1037	509
2034	82	24	44	0	3	0	6	5	268	306	-38	41	12	21	0	1	0	4	3	133	154	-21	41	12	23	0	2	0	2	2	135	152	-17	71	268	449	717	1	3	0	95	86	78	2638	0	893	826	888	2937	807	879	1760	387	74	19.12%	374	80	78.61%	2	1523	2976	51.18%	1598	3240	49.32%	715	1367	52.30%	1810	1220	2127	631	1040	502
2035	82	27	44	0	3	0	4	4	230	279	-49	41	15	20	0	3	0	2	1	111	128	-17	41	12	24	0	0	0	2	3	119	151	-32	72	230	400	630	1	3	0	86	74	63	2389	0	752	828	788	2751	792	1004	1853	354	61	17.23%	443	82	81.49%	4	1451	2798	51.86%	1567	3148	49.78%	695	1348	51.56%	1873	1263	2045	626	1046	509
2036	82	33	35	0	4	5	2	3	307	315	-8	41	18	15	0	4	3	0	1	164	159	5	41	15	20	0	0	2	2	2	143	156	-13	86	307	519	826	0	4	0	111	98	92	2803	0	892	933	948	2689	787	1092	1838	399	83	20.80%	480	113	76.46%	5	1690	3095	54.60%	1528	2952	51.76%	727	1403	51.82%	1968	1359	1965	606	1028	505
2037	82	47	27	0	1	3	3	1	316	254	62	41	26	12	0	0	3	0	0	154	121	33	41	21	15	0	1	0	3	1	162	133	29	106	316	547	863	0	1	115	104	93	5	2620	870	876	859	28	2599	744	1019	1747	395	84	21.27%	436	79	81.88%	4	1493	2912	51.27%	1580	3003	52.61%	716	1330	53.83%	1939	1324	1977	617	1032	505
2038	82	33	35	0	4	6	2	2	250	258	-8	41	20	13	0	2	4	2	0	136	114	22	41	13	22	0	2	2	0	2	114	144	-30	86	250	439	689	0	2	99	75	70	9	2385	797	750	803	47	2602	777	975	1766	389	67	17.22%	419	87	79.24%	5	1385	2698	51.33%	1546	2952	52.37%	642	1273	50.43%	1957	1355	1979	616	1024	506
2039	82	27	35	0	5	4	8	3	263	287	-24	41	10	20	0	2	2	5	2	139	159	-20	41	17	15	0	3	2	3	1	124	128	-4	87	263	444	707	1	2	104	82	64	17	2694	924	865	851	91	2623	730	856	1722	405	71	17.53%	371	79	78.71%	4	1630	3043	53.57%	1588	3000	52.93%	678	1328	51.05%	2004	1385	1950	610	1033	516
Total Saison régulière	1722	722	713	0	42	59	109	77	5562	5483	79	861	375	348	0	25	28	52	33	2825	2713	112	861	347	365	0	17	31	57	44	2737	2770	-33	1759	5562	9491	15053	28	77	318	1886	1753	1485	52167	2591	16854	17199	15165	54020	16098	21073	38000	7906	1529	19.34%	8068	1615	79.98%	91	29488	57542	51.25%	29233	59406	49.21%	13818	27460	50.32%	40456	26880	40325	13562	23811	11907
Séries éliminatoires
2017	9	5	4	0	0	0	0	0	21	21	0	4	2	2	0	0	0	0	0	8	9	-1	5	3	2	0	0	0	0	0	13	12	1	10	21	34	55	0	0	0	6	4	9	266	0	65	90	103	222	81	145	213	28	2	7.14%	38	6	84.21%	0	115	217	53.00%	119	216	55.09%	62	128	48.44%	196	108	1979	932	177	84
2018	10	4	6	0	0	0	0	0	25	30	-5	5	2	3	0	0	0	0	0	12	16	-4	5	2	3	0	0	0	0	0	13	14	-1	8	25	38	63	0	1	0	8	10	7	282	0	75	108	96	291	92	117	249	34	5	14.71%	24	6	75.00%	0	144	256	56.25%	129	226	57.08%	81	151	53.64%	223	125	191	91	187	95
2019	5	1	4	0	0	0	0	0	6	9	-3	3	0	3	0	0	0	0	0	4	8	-4	2	1	1	0	0	0	0	0	2	1	1	2	6	12	18	0	1	0	1	3	2	107	0	18	42	35	121	32	30	95	2	0	0.00%	14	3	78.57%	0	53	84	63.10%	55	100	55.00%	34	52	65.38%	103	51	92	51	115	58
2021	23	14	9	0	0	0	0	0	70	66	4	12	8	4	0	0	0	0	0	36	30	6	11	6	5	0	0	0	0	0	34	36	-2	28	70	123	193	0	3	0	18	25	24	682	0	206	229	218	582	194	264	490	109	24	22.02%	115	24	79.13%	0	448	847	52.89%	393	760	51.71%	168	344	48.84%	602	428	546	168	285	145
2023	5	1	4	0	0	0	0	0	12	15	-3	3	1	2	0	0	0	0	0	8	9	-1	2	0	2	0	0	0	0	0	4	6	-2	2	12	22	34	0	0	0	8	2	2	177	0	58	55	64	170	46	74	122	32	3	9.38%	28	5	82.14%	1	119	208	57.21%	109	205	53.17%	42	80	52.50%	113	77	128	37	59	28
2024	5	1	4	0	0	0	0	0	16	15	1	3	1	2	0	0	0	0	0	12	9	3	2	0	2	0	0	0	0	0	4	6	-2	2	16	29	45	0	0	0	9	4	3	143	0	57	37	49	143	33	64	124	25	6	24.00%	26	6	76.92%	1	90	187	48.13%	91	181	50.28%	35	71	49.30%	117	80	118	38	63	31
2025	18	11	7	0	0	0	0	0	50	56	-6	10	6	4	0	0	0	0	0	28	33	-5	8	5	3	0	0	0	0	0	22	23	-1	22	50	92	142	0	0	0	17	16	15	498	0	148	170	165	636	171	270	397	96	17	17.71%	109	21	80.73%	0	308	626	49.20%	401	747	53.68%	146	267	54.68%	460	319	422	140	233	116
2026	5	1	4	0	0	0	0	0	17	24	-7	2	0	2	0	0	0	0	0	7	9	-2	3	1	2	0	0	0	0	0	10	15	-5	2	17	30	47	1	0	0	8	6	3	141	0	57	37	46	201	67	74	115	25	3	12.00%	31	9	70.97%	1	83	184	45.11%	114	233	48.93%	50	90	55.56%	112	75	133	40	62	30
2027	7	3	4	0	0	0	0	0	22	24	-2	3	2	1	0	0	0	0	0	11	10	1	4	1	3	0	0	0	0	0	11	14	-3	6	22	38	60	0	0	0	5	8	7	204	0	59	68	47	256	90	111	168	30	7	23.33%	50	9	82.00%	0	111	250	44.40%	134	301	44.52%	37	107	34.58%	179	120	199	58	96	46
2030	7	3	4	0	0	0	0	0	17	25	-8	3	2	1	0	0	0	0	0	7	9	-2	4	1	3	0	0	0	0	0	10	16	-6	6	17	30	47	0	0	0	5	5	6	163	0	47	63	51	245	72	114	142	31	4	12.90%	46	9	80.43%	0	91	210	43.33%	124	308	40.26%	54	119	45.38%	156	105	185	54	83	37
2037	4	0	4	0	0	0	0	0	12	17	-5	2	0	2	0	0	0	0	0	6	8	-2	2	0	2	0	0	0	0	0	6	9	-3	0	12	20	32	0	0	5	1	6	0	121	42	39	40	0	144	47	46	85	21	5	23.81%	17	6	64.71%	0	72	143	50.35%	89	165	53.94%	29	65	44.62%	88	60	101	31	50	23
Total Séries éliminatoires	98	44	54	0	0	0	0	0	268	302	-34	50	24	26	0	0	0	0	0	139	150	-11	48	20	28	0	0	0	0	0	129	152	-23	88	268	468	736	1	5	5	86	89	78	2784	42	829	939	874	3011	925	1309	2200	433	76	17.55%	498	104	79.12%	3	1634	3212	50.87%	1758	3442	51.07%	738	1474	50.07%	2354	1553	4100	1643	1415	699

Flyers Leaders statistiques (séries éliminatoires)

Afficher ou masquer des colonnes

#	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
1	Jason Spezza	61	21	37	58	1	15	34	142	171	12.28%	6	1317	21.60	4	15	19	41	0	2	2	0	5	0	54.37%	0	0.88
2	Brad Stuart	162	21	34	55	21	145	213	165	266	7.89%	81	2678	16.53	2	2	4	9	0	0	0	11	5	0	52.76%	0	0.41
3	Evgeni Malkin	38	14	23	37	-4	18	55	88	142	9.86%	3	900	23.70	4	9	13	40	2	0	2	6	1	1	48.47%	1	0.82
4	Joe Thornton	33	9	22	31	3	13	34	76	76	11.84%	9	640	19.40	4	8	12	19	0	0	0	0	2	1	54.51%	1	0.97
5	Chris Pronger	33	5	19	24	-7	33	37	44	52	9.62%	52	843	25.55	3	7	10	26	0	0	0	2	1	0	0.00%	0	0.57

Flyers Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A
1	Jaroslav Halak	24	14	8	1	0.884	2.83	1420	0	3	67	578	0	1
2	Ben Bishop	22	12	9	1	0.914	2.86	1320	6	0	63	734	0	1
3	Cory Schneider	16	6	6	3	0.903	3.46	970	4	0	56	576	0	0
4	Jaroslav Halak	9	5	2	2	0.905	2.28	552	4	0	21	222	82	0
5	Pekka Rinne	15	5	6	4	0.905	2.56	913	0	2	39	412	165	0