Ligue Canadienne de Hockey Simulé

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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
1	Patrick Marleau	X				100.00	68	41	85	77	80	87	99	99	99	99	99	95	99	99	99	56	71	88	0
2	Wayne Simmonds		X			100.00	75	45	76	86	74	88	91	84	61	92	97	79	91	80	82	59	60	82	0
3	Matt Cullen	X				100.00	57	42	79	71	74	78	96	88	79	96	92	71	89	99	98	25	72	80	0
4	David Backes			X		100.00	90	64	68	72	80	75	87	89	99	85	99	68	97	99	99	69	37	80	0
5	Matt Read			X		100.00	61	51	88	78	71	76	89	84	78	78	88	97	83	85	86	13	77	79	0
6	Alexei Ponikarovsky		X			100.00	43	3	99	62	80	98	99	88	44	90	85	63	83	99	99	57	71	77	0
7	Max Domi		X			100.00	65	85	68	83	73	85	85	77	76	95	86	73	78	71	70	63	83	77	0
8	John Mitchell	X				100.00	70	41	82	76	76	81	82	78	89	74	69	83	71	85	83	5	71	74	0
9	Andrew Ebbett	X				100.00	22	1	99	66	71	67	68	88	86	97	80	61	68	99	99	58	21	74	0
10	Tye McGinn		X			100.00	90	63	61	62	79	80	81	85	58	77	72	69	64	73	75	43	71	72	0
11	Joakim Nordstrom			X		100.00	76	37	93	70	73	86	82	77	64	66	71	89	70	72	69	46	71	72	0
12	Daniel Winnik			X		100.00	59	42	79	74	78	82	98	67	72	71	72	74	66	81	66	29	71	71	0
13	Brian Flynn	X				100.00	45	32	91	74	72	71	73	67	86	61	60	80	64	97	83	62	71	68	0
14	Andrew MacDonald				X	100.00	61	42	88	69	75	84	89	98	58	76	75	96	73	82	81	30	68	79	0
15	Mathieu Roy				X	100.00	99	99	1	58	79	77	77	89	60	76	99	97	99	88	99	26	64	79	0
16	Jason Demers				X	100.00	67	43	85	80	88	94	81	89	25	77	82	77	81	90	78	16	56	78	0
17	Kevin Connauton (R)				X	100.00	74	42	84	76	76	75	89	94	30	88	84	67	70	87	76	53	48	76	0
18	Carl Gunnarsson				X	100.00	72	42	84	66	76	97	90	97	30	81	77	74	72	79	82	30	74	76	0
19	Thomas Hickey				X	100.00	69	41	86	75	68	81	85	74	30	79	77	78	71	83	81	72	71	74	0
20	Stephen Johns (R)				X	100.00	86	43	81	68	86	81	95	71	30	65	78	83	56	73	62	64	30	74	0
21	Derek Forbort (R)				X	100.00	77	44	83	71	84	87	95	65	30	70	67	82	56	63	57	80	36	73	0
22	Zach Werenski (R)				X	100.00	64	41	91	75	78	92	94	80	30	73	88	71	56	75	58	87	32	73	0
Rayé
1	Jordie Benn (R)				X	88.96	71	47	70	74	76	69	86	99	55	91	85	94	71	79	73	48	25	79	0

	MOYENNE D'ÉQUIPE					99.48	68	45	79	72	77	82	87	84	60	81	82	79	75	84	81	47	59	76

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Marc-Andre Fleury	100.00	86	85	93	74	86	96	97	98	97	95	87	97	97	49	71	89	0
2	Keith Kinkaid (R)	100.00	78	81	87	82	80	87	87	89	89	84	76	80	82	65	35	82	0
Rayé
1	Peter Budaj	97.00	82	82	82	74	80	98	98	98	98	80	93	90	81	5	70	86	0

	MOYENNE D'ÉQUIPE	99.00	82	83	87	77	82	94	94	95	95	86	85	89	87	40	59	86

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dave Hakstol	45	43	56	58	64	64	59	CAN	48	1	5,000,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	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	Patrick Marleau	Flyers	C	82	33	61	94	9	30	0	130	273	301	100	192	10.96%	44	1834	22.37	13	24	37	70	297	0	3	3	9	351	4	6	53.07%	2610	49	29	2	1	1.03	3	8	0	0	0	9	7	4
2	Wayne Simmonds	Flyers	LW	81	38	41	79	9	75	15	192	174	297	89	189	12.79%	50	1758	21.71	14	15	29	62	278	1	1	2	4	320	6	4	37.98%	129	82	29	0	1	0.90	3	7	1	2	0	7	6	3
3	Matt Cullen	Flyers	C	82	21	28	49	-8	41	5	143	204	252	92	141	8.33%	40	1577	19.24	2	5	7	29	222	4	1	5	16	179	3	1	46.61%	1519	39	21	0	1	0.62	3	4	0	0	1	2	3	3
4	Max Domi	Flyers	LW	82	16	28	44	-15	138	60	170	109	224	68	151	7.14%	34	1363	16.63	4	6	10	29	224	0	0	0	0	8	3	1	49.38%	81	53	16	0	0	0.65	0	2	7	2	3	2	2	1
5	David Backes	Flyers	RW	75	24	18	42	-14	110	30	179	91	154	33	79	15.58%	23	1289	17.19	6	4	10	18	224	1	0	1	8	41	5	1	54.95%	111	17	22	0	1	0.65	2	3	0	2	4	2	1	3
6	Alexei Ponikarovsky	Flyers	LW	82	17	20	37	-4	2	0	40	83	236	57	135	7.20%	18	1114	13.60	3	0	3	3	31	1	1	2	7	101	4	1	35.59%	59	25	13	0	0	0.66	0	0	0	0	0	2	3	1
7	John Mitchell	Flyers	C	82	15	16	31	-8	38	0	108	149	172	60	73	8.72%	23	1153	14.06	1	2	3	9	199	0	0	0	0	13	3	2	51.31%	686	20	16	0	0	0.54	0	0	0	0	0	2	1	5
8	Matt Read	Flyers	RW	82	13	18	31	16	26	10	88	117	172	38	111	7.56%	34	1518	18.51	4	4	8	21	264	1	2	3	7	107	2	0	45.83%	96	24	22	0	1	0.41	0	2	2	0	0	2	1	1
9	Jason Demers	Flyers	D	82	4	23	27	-15	31	15	116	129	117	47	75	3.42%	85	1704	20.78	1	2	3	10	155	0	1	1	7	217	0	0	0.00%	0	23	43	0	0	0.32	0	0	0	2	1	0	1	1
10	Jordie Benn	Flyers	D	72	8	19	27	18	86	0	146	144	125	51	49	6.40%	108	1584	22.00	3	5	8	17	250	0	1	1	2	224	1	1	0.00%	0	33	39	0	0	0.34	0	0	0	0	0	0	4	1
11	Andrew MacDonald	Flyers	D	77	4	22	26	3	20	0	93	128	91	39	32	4.40%	95	1655	21.49	1	8	9	13	266	0	0	0	5	146	0	0	0.00%	0	16	42	0	0	0.31	0	0	0	0	0	0	1	0
12	Tye McGinn	Flyers	LW	82	6	15	21	1	34	0	123	63	130	35	72	4.62%	18	691	8.43	0	1	1	1	44	0	0	0	6	84	0	1	23.91%	46	9	8	0	0	0.61	0	0	0	0	0	0	0	0
13	Carl Gunnarsson	Flyers	D	82	4	13	17	-11	31	5	82	106	93	35	45	4.30%	74	1353	16.50	0	1	1	3	34	0	0	0	4	88	0	0	0.00%	0	25	34	0	0	0.25	0	0	1	0	0	0	2	2
14	Joakim Nordstrom	Flyers	RW	82	2	13	15	-6	8	0	100	86	84	24	45	2.38%	40	969	11.83	0	0	0	0	14	0	0	0	1	38	1	0	45.28%	53	6	18	0	0	0.31	0	0	0	0	0	0	1	0
15	Thomas Hickey	Flyers	D	82	4	9	13	-5	6	0	83	136	63	25	34	6.35%	103	1471	17.95	0	1	1	0	11	0	1	1	3	299	0	0	0.00%	0	15	36	0	0	0.18	0	0	0	0	0	0	0	3
16	Mathieu Roy	Flyers	D	80	1	10	11	-3	306	70	293	122	84	31	31	1.19%	87	1441	18.01	0	0	0	2	19	0	1	1	2	194	0	0	0.00%	0	14	59	0	0	0.15	1	4	5	5	4	0	0	0
17	Daniel Winnik	Flyers	RW	82	5	3	8	-1	10	0	25	38	59	19	31	8.47%	11	540	6.59	0	0	0	0	0	0	0	0	0	0	0	1	45.45%	11	6	10	0	0	0.30	0	0	0	0	0	0	0	3
18	Kevin Connauton	Flyers	D	16	2	5	7	2	11	5	28	22	27	3	7	7.41%	20	323	20.22	0	3	3	9	60	0	0	0	0	11	1	0	0.00%	0	13	9	0	0	0.43	0	1	1	0	0	0	0	0
19	Brian Flynn	Flyers	C	82	3	3	6	3	2	0	17	60	24	9	17	12.50%	18	613	7.48	0	0	0	0	0	0	0	0	1	70	0	0	55.81%	215	1	14	0	0	0.20	0	0	0	0	0	0	0	0
20	Kevin Fiala	Flyers (PHI)	RW	7	2	2	4	-1	0	0	5	10	9	5	6	22.22%	1	91	13.01	0	1	1	0	13	0	0	0	0	0	0	1	50.00%	6	0	0	0	0	0.88	0	0	0	0	0	0	0	1
21	Stephen Johns	Flyers	D	2	0	0	0	1	0	0	3	2	1	0	0	0.00%	4	34	17.18	0	0	0	0	0	0	0	0	0	11	0	0	0.00%	0	0	1	0	0	0.00	0	0	0	0	0	0	0	0
22	Matthew Tkachuk	Flyers (PHI)	LW	1	0	0	0	-1	2	0	1	0	4	1	1	0.00%	0	9	9.60	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1477	222	367	589	-30	1007	215	2165	2246	2719	861	1516	8.16%	930	24091	16.31	52	82	134	296	2614	8	12	20	82	2511	33	20	50.21%	5622	470	481	2	5	0.49	12	31	17	13	13	28	33	32

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Marc-Andre Fleury	Flyers	73	34	35	3	0.915	2.86	4203	6	200	2341	958	1	6	0.864	22	73	9	5	9	4
2	Peter Budaj	Flyers	16	6	2	2	0.925	2.38	757	0	30	402	179	1	0	0.875	8	9	73	1	1	1
Stats d'équipe Total ou en Moyenne			89	40	37	5	0.916	2.78	4960	6	230	2743	1137	2	6	0.867	30	82	82	6	10	5

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial
Alexei Ponikarovsky	Flyers	LW	39	1980-04-09 05:11:13	No	226 Lbs	6 ft4	No	No	No	2	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	0$	No
Andrew Ebbett	Flyers	C	36	1983-01-02 23:11:13	No	185 Lbs	5 ft9	No	No	No	3	Sans Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No
Andrew MacDonald	Flyers	D	32	1986-09-07 17:11:13	No	204 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	0$	No
Brian Flynn	Flyers	C	30	1988-07-26 05:11:13	No	184 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	800,000$	800,000$	0$	No
Carl Gunnarsson	Flyers	D	32	1986-11-09 17:11:13	No	207 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	3,000,000$	3,000,000$	0$	No
Daniel Winnik	Flyers	RW	34	1985-03-06 11:11:13	No	210 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	1,400,000$	1,400,000$	0$	No
David Backes	Flyers	RW	34	1984-05-01 05:11:13	No	223 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	0$	No
Derek Forbort	Flyers	D	27	1992-03-04 05:11:13	Yes	215 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	900,000$	900,000$	0$	No
Jason Demers	Flyers	D	30	1988-06-09 05:11:13	No	195 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	2,650,000$	2,650,000$	0$	No
Joakim Nordstrom	Flyers	RW	27	1992-02-25 05:11:13	No	196 Lbs	6 ft1	No	No	No	3	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No
John Mitchell	Flyers	C	34	1985-01-22 11:11:13	No	210 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	1,850,000$	1,850,000$	0$	No
Jordie Benn (Sur la Masse Salariale)	Flyers	D	31	1987-07-26 23:11:13	Yes	200 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	0$	No
Keith Kinkaid	Flyers	G	29	1989-07-04 11:11:14	Yes	195 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	1,400,000$	1,400,000$	0$	No
Kevin Connauton	Flyers	D	29	1990-02-23 17:11:13	Yes	205 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$	0$	No
Marc-Andre Fleury	Flyers	G	34	1984-11-28 05:11:14	No	193 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	0$	No
Mathieu Roy	Flyers	D	35	1983-08-10 23:11:13	No	229 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	0$	No
Matt Cullen	Flyers	C	42	1976-11-02 05:11:13	No	202 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	0$	No
Matt Read	Flyers	RW	32	1986-06-16 11:11:13	No	188 Lbs	5 ft10	No	No	No	1	Sans Restriction	Pro & Farm	2,200,000$	2,200,000$	0$	No
Max Domi	Flyers	LW	24	1995-03-02 23:11:13	No	200 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro & Farm	1,363,000$	1,363,000$	0$	No
Patrick Marleau	Flyers	C	39	1979-09-15 23:11:13	No	215 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	7,500,000$	7,500,000$	0$	No
Peter Budaj	Flyers	G	36	1982-09-18 17:11:14	No	196 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	1,850,000$	1,850,000$	0$	No
Stephen Johns	Flyers	D	27	1992-04-18 05:11:13	Yes	221 Lbs	6 ft4	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	0$	No
Thomas Hickey	Flyers	D	30	1989-02-08 11:11:13	No	188 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	1,250,000$	1,250,000$	0$	No
Tye McGinn	Flyers	LW	28	1990-07-29 17:11:13	No	214 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	1,250,000$	1,250,000$	0$	No
Wayne Simmonds	Flyers	LW	30	1988-08-26 05:11:13	No	193 Lbs	6 ft2	No	No	No	6	Avec Restriction	Pro & Farm	5,000,000$	5,000,000$	0$	No
Zach Werenski	Flyers	D	21	1997-07-19 08:59:11	Yes	209 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	31.62	204 Lbs	6 ft1	2.04	2,551,462$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
66,338,000$	46,125,000$	22,800,000$	5,000,000$	5,000,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Wayne Simmonds	Patrick Marleau	David Backes	35	1	2	2
2	Max Domi	Matt Cullen	Matt Read	35	1	2	2
3	Alexei Ponikarovsky	John Mitchell	Joakim Nordstrom	25	1	2	2
4	Tye McGinn	Brian Flynn	Daniel Winnik	5	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mathieu Roy	Kevin Connauton	35	1	2	2
2	Jason Demers	Andrew MacDonald	35	1	2	2
3	Carl Gunnarsson	Thomas Hickey	30	1	2	2
4	Mathieu Roy	Stephen Johns	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Wayne Simmonds	Patrick Marleau	David Backes	60	1	2	2
2	Max Domi	Matt Cullen	Matt Read	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mathieu Roy	Kevin Connauton	60	1	2	2
2	Jason Demers	Andrew MacDonald	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Patrick Marleau	Wayne Simmonds	60	1	2	2
2	David Backes	Matt Cullen	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mathieu Roy	Carl Gunnarsson	60	1	2	2
2	Jason Demers	Andrew MacDonald	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Patrick Marleau	60	1	2	2	Mathieu Roy	Carl Gunnarsson	60	1	2	2
2	Wayne Simmonds	40	1	2	2	Jason Demers	Andrew MacDonald	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Patrick Marleau	Wayne Simmonds	60	1	2	2
2	David Backes	Matt Cullen	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mathieu Roy	Thomas Hickey	60	1	2	2
2	Jason Demers	Andrew MacDonald	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Wayne Simmonds	Patrick Marleau	David Backes	Mathieu Roy	Kevin Connauton

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Wayne Simmonds	Patrick Marleau	David Backes	Mathieu Roy	Kevin Connauton

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alexei Ponikarovsky, John Mitchell, Joakim Nordstrom	Alexei Ponikarovsky, John Mitchell	Joakim Nordstrom

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Carl Gunnarsson, Thomas Hickey, Jason Demers	Carl Gunnarsson	Thomas Hickey, Jason Demers

Tirs de Pénalité
Patrick Marleau, Wayne Simmonds, David Backes, Matt Cullen, Matt Read

Gardien
#1 : Marc-Andre Fleury, #2 : Keith Kinkaid

Lignes d'Attaque Perso. en Prol.
Patrick Marleau, Wayne Simmonds, David Backes, Matt Cullen, Matt Read, Alexei Ponikarovsky, Alexei Ponikarovsky, John Mitchell, Joakim Nordstrom, Max Domi, Tye McGinn

Lignes de Défense Perso. en Prol.
Mathieu Roy, Jason Demers, Andrew MacDonald, Kevin Connauton, Thomas Hickey

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

	Ligue												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	82	32	37	0	1	4	7	1	229	237	-8	41	17	18	0	1	2	3	0	121	118	3	41	15	19	0	0	2	4	1	108	119	-11	85	0.518	229	368	597	6	0	62	78	81	13	2723	943	942	818	49	2749	931	1013	2164	322	52	16.15%	385	60	84.42%	8	1085	2183	49.70%	1161	2285	50.81%	577	1154	50.00%	1761	1020	1837	757	1368	671
	_Since Last GM Reset	82	32	37	0	1	4	7	1	229	237	-8	41	17	18	0	1	2	3	0	121	118	3	41	15	19	0	0	2	4	1	108	119	-11	85	0.518	229	368	597	6	0	62	78	81	13	2723	943	942	818	49	2749	931	1013	2164	322	52	16.15%	385	60	84.42%	8	1085	2183	49.70%	1161	2285	50.81%	577	1154	50.00%	1761	1020	1837	757	1368	671
	_Vs Conference	56	24	24	0	1	3	3	1	157	159	-2	28	13	12	0	1	1	1	0	80	76	4	28	11	12	0	0	2	2	1	77	83	-6	60	0.536	157	257	414	4	0	40	57	56	7	1821	614	637	562	22	1866	643	734	1479	255	41	16.08%	287	49	82.93%	7	1085	2183	49.70%	1161	2285	50.81%	577	1154	50.00%	1196	689	1259	525	930	457
	_Vs Division	30	15	11	0	0	1	2	1	94	89	5	15	8	6	0	0	1	0	0	48	44	4	15	7	5	0	0	0	2	1	46	45	1	36	0.600	94	154	248	3	0	25	30	37	4	936	315	336	281	11	997	354	411	798	167	32	19.16%	158	26	83.54%	5	1085	2183	49.70%	1161	2285	50.81%	577	1154	50.00%	638	358	672	286	506	251

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
82	85	W3	229	368	597	2723	2749	931	1013	2164	6	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	32	37	1	4	7	1	229	237

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	18	1	2	3	0	121	118

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	19	0	2	4	1	108	119

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	4	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
322	52	16.15%	385	60	84.42%	8

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
943	942	818	49	62	78	81	13

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
1085	2183	49.70%	1161	2285	50.81%	577	1154	50.00%

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
1761	1020	1837	757	1368	671

Derniers Match 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
3 - 2018-10-01	13	Capitals	4	Flyers	1	L			R3	Sommaire du Match
6 - 2018-10-04	27	Devils	5	Flyers	3	L				Sommaire du Match
8 - 2018-10-06	40	Flyers	2	Devils	6	L				Sommaire du Match
10 - 2018-10-08	49	Canadiens	1	Flyers	3	W				Sommaire du Match
13 - 2018-10-11	64	Flyers	1	Capitals	2	L	X	X	R3	Sommaire du Match
15 - 2018-10-13	74	Islanders	2	Flyers	4	W				Sommaire du Match
16 - 2018-10-14	85	Flyers	4	Rangers	2	W				Sommaire du Match
19 - 2018-10-17	100	Rangers	3	Flyers	1	L				Sommaire du Match
21 - 2018-10-19	114	Flyers	6	Penguins	4	W			R3	Sommaire du Match
22 - 2018-10-20	122	Devils	3	Flyers	4	W				Sommaire du Match
24 - 2018-10-22	135	Flyers	2	Devils	1	W				Sommaire du Match
26 - 2018-10-24	145	Flyers	2	Maple Leafs	3	L				Sommaire du Match
28 - 2018-10-26	156	Flyers	6	Islanders	4	W			R3	Sommaire du Match
30 - 2018-10-28	162	Penguins	3	Flyers	1	L			R3	Sommaire du Match
32 - 2018-10-30	176	Red Wings	3	Flyers	5	W				Sommaire du Match
36 - 2018-11-03	195	Capitals	3	Flyers	4	W			R3	Sommaire du Match
38 - 2018-11-05	210	Flyers	2	Rangers	4	L				Sommaire du Match
41 - 2018-11-08	219	Capitals	1	Flyers	5	W			R3	Sommaire du Match
46 - 2018-11-13	242	Senateurs	3	Flyers	4	W				Sommaire du Match
49 - 2018-11-16	256	Flyers	3	Avalanche	1	W				Sommaire du Match
51 - 2018-11-18	266	Islanders	3	Flyers	5	W			R3	Sommaire du Match
54 - 2018-11-21	281	Flyers	2	Flames	3	L				Sommaire du Match
55 - 2018-11-22	290	Islanders	3	Flyers	1	L			R3	Sommaire du Match
59 - 2018-11-26	308	Flyers	3	Canadiens	4	L				Sommaire du Match
60 - 2018-11-27	315	Sharks	1	Flyers	4	W				Sommaire du Match
64 - 2018-12-01	336	Canucks	3	Flyers	1	L				Sommaire du Match
66 - 2018-12-03	349	Flyers	5	Islanders	3	W			R3	Sommaire du Match
68 - 2018-12-05	356	Flyers	4	Devils	3	W	X	X		Sommaire du Match
70 - 2018-12-07	364	Oilers	5	Flyers	6	W	X	X		Sommaire du Match
72 - 2018-12-09	382	Flyers	2	Canadiens	4	L				Sommaire du Match
73 - 2018-12-10	387	Predators	2	Flyers	1	L				Sommaire du Match
78 - 2018-12-15	409	Bruins	2	Flyers	1	L			R3	Sommaire du Match
80 - 2018-12-17	420	Flyers	1	Sharks	3	L				Sommaire du Match
82 - 2018-12-19	432	Penguins	5	Flyers	4	L	X		R3	Sommaire du Match
84 - 2018-12-21	444	Flyers	6	Senateurs	2	W				Sommaire du Match
87 - 2018-12-24	458	Blues	6	Flyers	2	L				Sommaire du Match
90 - 2018-12-27	473	Flyers	2	Rangers	1	W				Sommaire du Match
91 - 2018-12-28	482	Wild	1	Flyers	6	W				Sommaire du Match
95 - 2019-01-01	500	Flyers	1	Wild	3	L				Sommaire du Match
96 - 2019-01-02	506	Penguins	1	Flyers	5	W			R3	Sommaire du Match
99 - 2019-01-05	522	Flyers	2	Oilers	1	W				Sommaire du Match
101 - 2019-01-07	531	Avalanche	6	Flyers	2	L				Sommaire du Match
104 - 2019-01-10	548	Flyers	2	Senateurs	5	L				Sommaire du Match
105 - 2019-01-11	555	Bruins	3	Flyers	2	L			R3	Sommaire du Match
108 - 2019-01-14	574	Flyers	4	Red Wings	3	W				Sommaire du Match
109 - 2019-01-15	578	Ducks	3	Flyers	1	L				Sommaire du Match
112 - 2019-01-18	594	Flyers	1	Blues	5	L				Sommaire du Match
114 - 2019-01-20	600	Flyers	5	Stars	2	W				Sommaire du Match
115 - 2019-01-21	605	Canadiens	4	Flyers	1	L				Sommaire du Match
120 - 2019-01-26	627	Flames	2	Flyers	1	L				Sommaire du Match
122 - 2019-01-28	642	Flyers	2	Islanders	5	L			R3	Sommaire du Match
124 - 2019-01-30	652	Red Wings	4	Flyers	1	L				Sommaire du Match
128 - 2019-02-03	674	Stars	4	Flyers	3	L	X			Sommaire du Match
131 - 2019-02-06	695	Sabres	2	Flyers	3	W	X		R3	Sommaire du Match
133 - 2019-02-08	700	Flyers	1	Kings	2	L				Sommaire du Match
135 - 2019-02-10	712	Flyers	3	Predators	2	W	X	X		Sommaire du Match
137 - 2019-02-12	721	Rangers	5	Flyers	3	L				Sommaire du Match
139 - 2019-02-14	731	Flyers	1	Ducks	3	L				Sommaire du Match
141 - 2019-02-16	746	Flyers	1	Bruins	3	L			R3	Sommaire du Match
142 - 2019-02-17	748	Sabres	2	Flyers	4	W			R3	Sommaire du Match
145 - 2019-02-20	759	Flyers	5	Predators	3	W				Sommaire du Match
147 - 2019-02-22	769	Flyers	4	Blackhawks	3	W	X	X		Sommaire du Match
148 - 2019-02-23	772	Rangers	2	Flyers	3	W				Sommaire du Match
152 - 2019-02-27	795	Maple Leafs	2	Flyers	4	W				Sommaire du Match
154 - 2019-03-01	808	Flyers	2	Red Wings	1	W				Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
157 - 2019-03-04	819	Maple Leafs	1	Flyers	2	W	X	X		Sommaire du Match
160 - 2019-03-07	837	Flyers	1	Capitals	3	L			R3	Sommaire du Match
162 - 2019-03-09	844	Senateurs	3	Flyers	1	L				Sommaire du Match
164 - 2019-03-11	854	Flyers	1	Maple Leafs	2	L	X			Sommaire du Match
166 - 2019-03-13	866	Flyers	1	Bruins	2	L	X		R3	Sommaire du Match
167 - 2019-03-14	869	Canadiens	2	Flyers	1	L				Sommaire du Match
173 - 2019-03-20	892	Devils	1	Flyers	4	W				Sommaire du Match
175 - 2019-03-22	905	Flyers	2	Capitals	3	L			R3	Sommaire du Match
178 - 2019-03-25	915	Flyers	2	Canucks	5	L				Sommaire du Match
179 - 2019-03-26	918	Blackhawks	4	Flyers	5	W				Sommaire du Match
180 - 2019-03-27	923	Flyers	1	Maple Leafs	2	L				Sommaire du Match
184 - 2019-03-31	939	Kings	4	Flyers	5	W	X	X		Sommaire du Match
185 - 2019-04-01	947	Flyers	4	Penguins	3	W	X	X	R3	Sommaire du Match
186 - 2019-04-02	952	Flyers	2	Sabres	5	L				Sommaire du Match
190 - 2019-04-06	964	Kings	1	Flyers	4	W				Sommaire du Match
191 - 2019-04-07	971	Flyers	4	Sabres	2	W			R3	Sommaire du Match
193 - 2019-04-09	978	Flyers	3	Penguins	1	W			R3	Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	3500	2000	1500
Prix des Billets	88	74	65	50	115
Assistance	242,624	202,243	125,023	82,000	59,251
Attendance PCT	98.63%	98.66%	87.12%	100.00%	96.34%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	17345 - 96.36%	1,234,729$	50,623,872$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
63,407,927$	64,338,000$	7,475,000$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
329,938$	58,407,922$	0$	25	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	355,579$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	58,407,922$	66,799,629$	66,799,629$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Wayne Simmonds	AGE:30	PO:59	OV:82
Max Domi	AGE:24	PO:63	OV:77
Alexei Ponikarovsky	AGE:39	PO:57	OV:77
*Matthew Tkachuk	AGE:21	PO:88	OV:72
Tye McGinn	AGE:28	PO:43	OV:72
*Artturi Lehkonen	AGE:23	PO:70	OV:66
Rostislav Olesz	AGE:33	PO:27	OV:65
*Andy Andreoff	AGE:27	PO:55	OV:63
*Matt Fraser	AGE:28	PO:25	OV:58
*Joseph Labate	AGE:26	PO:71	OV:53

Patrick Marleau	AGE:39	PO:56	OV:88
Matt Cullen	AGE:42	PO:25	OV:80
Andrew Ebbett	AGE:36	PO:58	OV:74
John Mitchell	AGE:34	PO:5	OV:74
*Radek Faksa	AGE:25	PO:83	OV:70
*J.T. Compher	AGE:24	PO:76	OV:68
Brian Flynn	AGE:30	PO:62	OV:68
Michael Latta	AGE:27	PO:49	OV:63

David Backes	AGE:34	PO:69	OV:80
Matt Read	AGE:32	PO:13	OV:79
Joakim Nordstrom	AGE:27	PO:46	OV:72
Daniel Winnik	AGE:34	PO:29	OV:71
*Kevin Fiala	AGE:22	PO:85	OV:70
Colin Mcdonald	AGE:34	PO:56	OV:66
*Tom Kuhnhackl	AGE:27	PO:58	OV:65
*Iiro Pakarinen	AGE:27	PO:43	OV:65
*Ben Hanowski	AGE:28	PO:48	OV:59

Défense #1

Défense #2

Gardien

*Jordie Benn	AGE:31	PO:48	OV:79
Andrew MacDonald	AGE:32	PO:30	OV:79
Mathieu Roy	AGE:35	PO:26	OV:79
Jason Demers	AGE:30	PO:16	OV:78
*Kevin Connauton	AGE:29	PO:53	OV:76
Carl Gunnarsson	AGE:32	PO:30	OV:76
Thomas Hickey	AGE:30	PO:72	OV:74
*Stephen Johns	AGE:27	PO:64	OV:74

*Zach Werenski	AGE:21	PO:87	OV:73
*Derek Forbort	AGE:27	PO:80	OV:73
Dylan Olsen	AGE:28	PO:55	OV:69
*Brandon Manning	AGE:28	PO:36	OV:69
*Mark Borowiecki	AGE:29	PO:46	OV:68
*Matt Tennyson	AGE:29	PO:45	OV:68
*Jyrki Jokipakka	AGE:27	PO:47	OV:66
*Jacob Larsson	AGE:21	PO:95	OV:53

Marc-Andre Fleury	AGE:34	PO:49	OV:89
Peter Budaj	AGE:36	PO:5	OV:86
*Keith Kinkaid	AGE:29	PO:65	OV:82
Jason Bacashihua	AGE:36	PO:31	OV:78
*Alex Lyon	AGE:26	PO:42	OV:73

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information	Lien
Alexandre Mallet	Flyers
Beau Starrett	Flyers
Brett Howden	Flyers
Calle Andersson	Flyers
Chris Calnan	Flyers
Cole Cassels	Flyers
Dalton Smith	Flyers
Dominik Masin	Flyers
Emil Molin	Flyers
Erik Karlsson	Flyers
Ethan Werek	Flyers
Filip Westerlund	Flyers
Jacob Peterson	Flyers
Jesperi Kotkaniemi	Flyers
Jonas Rondbjerg	Flyers
Jonny Tychonick	Flyers
Jordan Harris	Flyers
Keegan Iverson	Flyers
Louie Caporusso	Flyers
Ludwig Blomstrand	Flyers
Michael Anderson	Flyers
Pavel Valentenko	Flyers
Pierre-Olivier Joseph	Flyers
Sam Steel	Flyers
Ville Pokka	Flyers

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6
14	PHI	PHI	PHI	PHI	PHI STL	PHI
15	PHI	PHI	PHI	PHI	PHI	PHI
16	PHI	PHI	PHI	PHI	PHI	PHI
17	PHI	PHI	PHI	PHI	PHI	PHI
18	PHI	PHI	PHI	PHI	PHI	PHI

[2019-01-04 16:45:25] - TRADE : From Blues to Flyers : Jason Bacashihua (78), Y:14-RND:5-STL.
[2019-01-04 16:45:25] - TRADE : From Flyers to Blues : Alex Stalock (82).
[2018-12-13 20:31:13] - New Record for Team's Most Hits (46) in 1 Game for Flyers!
[2018-12-04 18:40:09] - New Record for Team's Most Shots Blocked (26) in 1 Game for Flyers!
[2018-10-19 18:28:32] - TRADE : From Wild to Flyers : Jordie Benn (79).
[2018-10-19 18:28:32] - TRADE : From Flyers to Wild : Chris Tanev (76).
[2018-09-07 18:50:21] - Jordan Harris has been added to Flyers.
[2018-09-03 20:46:52] - Jonny Tychonick has been added to Flyers.
[2018-09-03 20:33:51] - Jesperi Kotkaniemi has been added to Flyers.
[2018-07-13 21:40:22] - Colin Mcdonald signed with Flyers for 575 000 $ for 3 year(s) with 0 $ in bonus.
[2018-07-13 21:40:22] - Colin Mcdonald was added to Flyers.
[2018-07-13 21:28:04] - Daniel Winnik signed with Flyers for 1 400 000 $ for 3 year(s) with 0 $ in bonus.
[2018-07-13 21:28:04] - Daniel Winnik was added to Flyers.
[2018-07-08 13:27:45] - Alex Lyon was added to Flyers.
[2018-07-02 11:39:22] - David Musil was released.
[2018-07-02 11:39:22] - Flyers paid 0 $ to release David Musil.
[2018-07-02 11:38:23] - Ronalds Kenins was released.
[2018-07-02 11:38:23] - Flyers paid 0 $ to release Ronalds Kenins.
[2018-05-21 20:51:05] - R.J. Umberger retired from Flyers
[2018-05-21 18:31:34] - Marc-Andre Bergeron retired from Flyers
[2018-05-15 11:31:59] - Keith Aucoin retired from Flyers
[2018-04-25 09:50:11] - Flyers didn't make playoff for year 12.
[2018-04-25 09:50:11] - Flyers didn't make playoff for year 12.

[2019-04-25 17:31:12] Last 7 Days Pro Star : 1 - Patrick Marleau of Flyers (4-1-5) / 2 - Peter Budaj of Flyers (0,973) / 3 - Connor Hellebuyck of Kings (0,944)
[2019-04-25 17:31:08] Peter Budaj from Flyers is back from Exhaustion.
[2019-04-25 17:31:04] Auto Lines Partial Function has been run for Flyers.
[2019-04-25 17:31:03] Flyers (Flyers) lines errors : Normal line # 2 Defense #2 is empty. Normal line # 2 Defense #2 is empty. Unknown Player is used twice in Normal line #2 Normal line # 4 Defense #4 is empty. Normal line # 4 Defense #4 is empty. Unknown Player is used twice in Normal line #4 PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. Unknown Player is used twice PP in line#2 Unknown Player is used twice PK in line#2 Unknown Player is used twice 4 vs 4 in line#2 Unknown Player is used twice PK3 in line#2 LastMinOff line Defense is empty. LastMinDef line Defense is empty. LastMinOff line Defense is empty. LastMinDef line Defense is empty. Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinDef line Extra Defense #0 is empty. Extra Defense #3 is empty. Starting Goalie is empty.
[2019-04-25 17:31:03] Auto Lines Partial Function has been run for Flyers.
[2019-04-25 17:31:03] Flyers lines errors : Normal line # 1 Defense #1 is empty. Normal line # 4 Defense #4 is empty. PP line 1 Defense #1 is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. LastMinOff line Defense #3 is empty. LastMinDef line Defense #3 is empty. Starting Goalie is empty.
[2019-04-25 17:31:03] Auto Roster Partial Function has been run for Flyers.
[2019-04-25 17:31:03] Keith Kinkaid of Flyers was sent to pro.
[2019-04-25 17:31:03] Derek Forbort of Flyers was sent to pro.
[2019-04-25 17:31:03] Zach Werenski of Flyers was sent to pro.
[2019-04-25 17:31:03] Andrew Ebbett of Flyers was sent to pro.
[2019-04-25 17:31:03] Stephen Johns of Flyers was sent to pro.
[2019-04-25 17:31:03] Kevin Connauton of Flyers was sent to pro.
[2019-04-25 17:31:03] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-04-24 18:33:48] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-24 18:33:47] Peter Budaj from Flyers injured (Exhaustion)
[2019-04-24 18:33:47] Game 978 - Jordie Benn from Flyers is injured (Sprained Left Finger) and is out for 1 week.
[2019-04-22 22:24:41] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-22 02:15:59] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-21 10:23:58] Auto Lines Function has been run for Flyers.
[2019-04-21 10:23:56] Matthew Tkachuk of Flyers was sent down to farm.
[2019-04-21 10:23:44] Auto Lines Function has been run for Flyers.
[2019-04-21 10:23:22] Stephen Johns of Flyers was sent down to farm.
[2019-04-21 10:23:06] Andrew Ebbett of Flyers was sent down to farm.
[2019-04-21 10:23:02] Kevin Connauton of Flyers was sent down to farm.
[2019-04-20 22:34:50] Auto Lines Partial Function has been run for Flyers.
[2019-04-20 22:34:50] Flyers (Flyers) lines errors : Normal line # 1 C is empty. Normal line # 1 LW is empty. Normal line # 1 Defense #1 is empty. Normal line # 1 Defense #1 is empty. Unknown Player is used twice in Normal line #1 Unknown Player is used twice in Normal line #1 Unknown Player is used twice in Normal line #1 Normal line # 4 Defense #4 is empty. Normal line # 4 Defense #4 is empty. Unknown Player is used twice in Normal line #4 PP line1 C is empty. PP line1 LW is empty. PP line 1 Defense #1 is empty. PK line 1 C is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 C is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. PP line 1 Defense #1 is empty. PK line 1 LW is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 LW is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. PK3 line 1 RW is empty. Unknown Player is used twice in PP line#1 Unknown Player is used twice in PP line#1 Unknown Player is used twice PP in line#1 Unknown Player is used twice in PK line#1 Unknown Player is used twice in PK line#1 Unknown Player is used twice PK in line#1 Unknown Player is used twice in 4 vs 4 line#1 Unknown Player is used twice in 4 vs 4 line#1 Unknown Player is used twice 4 vs 4 in line#1 Unknown Player is used twice in PK3 line#1 Unknown Player is used twice PK3 in line#1 PK3 line 2 RW is empty. LastMinOff line C is empty. LastMinDef line C is empty. LastMinOff line LW is empty. LastMinDef line LW is empty. LastMinOff line Defense is empty. LastMinDef line Defense is empty. LastMinOff line Defense is empty. LastMinDef line Defense is empty. Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinDef line Unknown Player is used twice in LastMinDef line Unknown Player is used twice in LastMinDef line Penalty Shot Player #1 is empty. Penalty Shot Player #2 is empty. Unknown Player is used twice in Extra Penalty Shot
[2019-04-20 22:34:50] Auto Lines Partial Function has been run for Flyers.
[2019-04-20 22:34:50] Flyers lines errors : Normal line # 1 C is empty. Normal line # 1 Defense #1 is empty. Unknown Player is used twice in Normal line #1 Normal line # 4 Defense #4 is empty. PP line 1 C is empty. PP line 1 Defense #1 is empty. PK line 1 C is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 C is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. PK3 line 1 forward is empty. Unknown Player is used twice in PP line#1 Unknown Player is used twice in PK line#1 Unknown Player is used twice in 4 vs 4 line#1 Unknown Player is used twice in PK3 line#1 LastMinOff line C is empty. LastMinDef line C is empty. LastMinOff line Defense #3 is empty. LastMinDef line Defense #3 is empty. Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinDef line Penalty Shot Player #1 is empty.
[2019-04-20 22:34:50] Auto Roster Partial Function has been run for Flyers.
[2019-04-20 22:34:50] Andrew Ebbett of Flyers was sent to pro.
[2019-04-20 22:34:50] Stephen Johns of Flyers was sent to pro.
[2019-04-20 22:34:50] Kevin Connauton of Flyers was sent to pro.
[2019-04-20 22:34:50] Flyers roster errors : Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-04-20 22:34:50] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-04-19 01:19:05] Jordie Benn from Flyers is back from Exhaustion.
[2019-04-19 01:19:05] Wayne Simmonds from Flyers is back from Strained Left Knee Injury.
[2019-04-19 01:19:05] Patrick Marleau from Flyers is back from Exhaustion.
[2019-04-17 21:28:50] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-17 21:28:49] Jordie Benn from Flyers is injured from Exhaustion.
[2019-04-17 21:28:49] Patrick Marleau from Flyers is injured from Exhaustion.
[2019-04-16 21:02:02] Auto Lines Function has been run for Flyers.
[2019-04-16 21:01:57] Matthew Tkachuk of Flyers was sent to pro.
[2019-04-16 21:01:54] Flyers roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-04-16 21:01:34] Flyers roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-04-16 17:41:30] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-16 17:41:29] Game 947 - Wayne Simmonds from Flyers is injured (Strained Left Knee) and is out for 6 days.
[2019-04-15 18:59:04] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2019-04-14 18:20:10] Andrew Ebbett from Flyers is back from Bruised Left Arm Injury.
[2019-04-14 18:20:10] Flyers lines for next game are empty. Current rosters/lines are not erased.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											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
13	82	32	37	0	1	4	7	1	229	237	-8	41	17	18	0	1	2	3	0	121	118	3	41	15	19	0	0	2	4	1	108	119	-11	85	229	368	597	6	0	62	78	81	13	2723	943	942	818	49	2749	931	1013	2164	322	52	16.15%	385	60	84.42%	8	1085	2183	49.70%	1161	2285	50.81%	577	1154	50.00%	1761	1020	1837	757	1368	671
Total Saison Régulière	82	32	37	0	1	4	7	1	229	237	-8	41	17	18	0	1	2	3	0	121	118	3	41	15	19	0	0	2	4	1	108	119	-11	85	229	368	597	6	0	62	78	81	13	2723	943	942	818	49	2749	931	1013	2164	322	52	16.15%	385	60	84.42%	8	1085	2183	49.70%	1161	2285	50.81%	577	1154	50.00%	1761	1020	1837	757	1368	671