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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	Claude Giroux (C)	X	X	X		97.00	56	38	87	84	69	87	95	86	83	90	78	71	82	79	90	0	84	76	0
2	Jeff Skinner (A)	X	X			99.00	56	39	82	81	69	84	95	78	69	73	80	59	82	73	74	0	84	71	0
3	Tyler Johnson	X	X	X		100.00	59	38	85	78	65	81	93	77	79	72	76	74	75	77	73	0	83	71	0
4	Nazem Kadri	X				99.00	77	45	72	76	74	81	86	75	80	74	76	58	72	77	74	0	70	70	0
5	Tom Wilson			X		98.50	95	80	46	70	90	83	76	69	57	72	73	83	68	69	67	0	85	70	0
6	Cody Eakin	X				100.00	71	37	86	68	73	79	88	66	77	69	70	82	67	75	71	0	80	69	0
7	Tyler Bertuzzi		X	X		99.00	73	50	77	70	72	81	86	68	56	75	71	63	72	67	68	0	84	68	0
8	Riley Nash	X	X	X		100.00	73	42	88	65	75	69	91	64	76	69	63	78	64	78	71	0	84	67	0
9	Evan Rodrigues	X	X	X		100.00	56	43	85	68	67	81	87	66	77	73	64	72	65	71	67	0	69	66	0
10	Tobias Rieder		X	X		100.00	76	36	92	68	70	73	80	67	55	64	62	73	65	71	66	0	74	66	0
11	Matt Nieto		X	X		100.00	59	36	90	66	70	75	77	65	53	68	64	83	65	73	68	0	83	66	0
12	Martin Frk		X	X		100.00	76	36	89	68	78	70	60	67	52	66	64	58	66	71	66	0	65	65	0
13	Torey Krug				X	100.00	69	47	80	78	67	86	82	77	30	88	71	63	56	75	70	0	72	72	0
14	Jacob Trouba				X	98.00	80	43	75	72	84	89	95	71	30	82	64	88	56	69	70	0	77	71	0
15	Brady Skjei				X	100.00	84	41	78	69	86	87	91	68	30	73	64	72	55	69	66	0	83	68	0
16	Justin Braun				X	100.00	82	44	83	65	81	86	89	63	30	73	58	82	53	80	72	0	66	68	0
17	Dan Girardi (A)				X	100.00	85	37	86	62	80	83	75	61	30	72	62	86	53	85	75	0	58	68	0
18	Jack Johnson				X	100.00	86	45	83	64	83	85	95	62	30	68	56	83	51	80	72	0	82	67	0
Rayé
1	Micheal Ferland		X	X		83.22	88	76	77	72	81	77	84	71	58	72	73	59	74	73	70	0	70	69	0
2	Dan Hamhuis				X	100.00	68	40	81	62	78	81	73	61	30	72	54	77	48	87	77	0	22	65	0
3	Devon Toews				X	100.00	54	37	93	64	76	82	77	63	30	71	62	59	53	69	66	0	19	64	0
4	Luke Schenn				X	100.00	98	49	77	59	85	78	62	58	30	64	53	73	48	78	70	0	32	64	0

	MOYENNE D'ÉQUIPE					98.81	74	45	81	70	76	81	84	68	52	73	66	73	63	75	71	0	69	68

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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	Devan Dubnyk	100.00	95	95	93	97	94	93	95	94	93	95	94	82	87	0	83	78	0
2	Keith Kinkaid	100.00	90	87	85	82	89	88	90	89	88	90	89	78	84	0	84	74	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	93	91	89	90	92	91	93	92	91	93	92	80	86	0	84	76

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Tortorella	81	88	86	88	90	84	55	USA	60	2	100,000$

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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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Claude Giroux	Flyers	C/LW/RW	79	33	47	80	14	8	0	20	247	324	90	209	10.19%	15	1646	20.84	12	19	31	81	328	0	1	1	3	135	7	6	52.49%	2128	0	0	0.97	3	11	0	0	0	7	6	6
2	Tyler Johnson	Flyers	C/LW/RW	76	21	38	59	-1	6	0	27	179	250	67	209	8.40%	16	1377	18.12	5	19	24	68	285	0	0	0	0	57	3	0	51.20%	1002	2	0	0.86	3	8	0	0	0	5	5	2
3	Jeff Skinner	Flyers	C/LW	79	23	32	55	14	0	0	26	100	189	58	158	12.17%	7	1541	19.51	7	10	17	45	325	0	1	1	0	30	2	2	48.33%	120	0	1	0.71	3	11	0	0	0	4	4	2
4	Torey Krug	Flyers	D	78	8	40	48	-15	57	5	116	130	100	32	65	8.00%	77	1846	23.67	6	13	19	70	288	0	1	1	1	154	2	0	0.00%	0	0	0	0.52	0	0	0	0	1	2	1	3
5	Jacob Trouba	Flyers	D	72	9	35	44	6	118	10	187	115	133	48	87	6.77%	100	1769	24.58	8	11	19	80	292	0	1	1	2	221	1	1	0.00%	0	0	0	0.50	0	0	0	0	0	5	2	1
6	Nazem Kadri	Flyers	C	78	17	27	44	9	41	5	153	159	191	60	131	8.90%	7	1482	19.01	5	12	17	45	272	0	2	2	1	122	1	0	51.26%	1865	0	0	0.59	3	9	0	0	1	2	1	6
7	Tom Wilson	Flyers	RW	79	23	20	43	17	115	5	326	126	168	59	130	13.69%	23	1475	18.67	3	4	7	16	102	1	0	1	6	268	9	1	44.54%	119	0	0	0.58	0	2	0	0	1	5	4	5
8	Brady Skjei	Flyers	D	62	10	28	38	10	58	0	125	54	91	31	65	10.99%	47	1298	20.95	7	11	18	64	236	0	0	0	0	139	3	0	0.00%	0	0	0	0.59	0	0	0	0	0	0	3	6
9	Micheal Ferland	Flyers	LW/RW	69	14	24	38	5	85	5	199	41	137	38	111	10.22%	3	1088	15.78	5	9	14	44	234	0	0	0	0	0	2	1	36.36%	77	0	0	0.70	0	5	0	0	1	5	4	3
10	Jack Johnson	Flyers	D	79	2	26	28	9	64	10	152	82	45	18	33	4.44%	95	1447	18.32	1	4	5	13	86	1	0	1	2	250	1	0	0.00%	0	0	0	0.39	0	0	0	1	1	0	2	3
11	Justin Braun	Flyers	D	59	9	17	26	8	47	5	107	75	61	26	39	14.75%	87	1165	19.75	5	3	8	36	123	0	0	0	1	191	1	1	0.00%	0	0	0	0.45	0	0	0	0	1	2	4	0
12	Dan Girardi	Flyers	D	61	7	19	26	4	56	0	158	73	57	13	37	12.28%	84	1233	20.22	5	4	9	26	121	0	0	0	0	174	0	0	0.00%	0	0	0	0.42	0	0	0	0	0	2	4	1
13	Tyler Bertuzzi	Flyers	LW/RW	79	12	13	25	0	29	5	108	69	149	30	98	8.05%	1	1329	16.83	2	4	6	35	295	0	0	0	0	0	1	1	34.41%	93	0	0	0.38	1	2	0	0	1	0	1	4
14	Cody Eakin	Flyers	C	75	10	12	22	6	34	0	94	193	112	30	98	8.93%	16	1100	14.67	0	0	0	1	1	0	1	1	5	317	4	0	52.91%	1531	0	0	0.40	1	1	0	0	0	0	2	3
15	Evan Rodrigues	Flyers	C/LW/RW	67	7	10	17	-1	0	0	18	66	115	27	62	6.09%	9	844	12.61	3	2	5	26	109	0	0	0	0	33	0	1	54.55%	99	0	0	0.40	1	1	0	0	0	0	0	1
16	Tobias Rieder	Flyers	LW/RW	80	8	8	16	-9	32	0	57	56	98	19	73	8.16%	5	869	10.87	1	1	2	4	45	0	0	0	2	68	0	1	37.50%	64	0	0	0.37	0	0	0	0	0	0	1	3
17	Matt Nieto	Flyers	LW/RW	71	4	10	14	-3	12	0	17	74	85	30	57	4.71%	12	814	11.47	0	0	0	0	0	0	0	0	4	133	2	0	42.86%	63	0	0	0.34	0	0	0	0	0	0	0	1
18	Riley Nash	Flyers	C/LW/RW	79	6	6	12	-9	12	0	54	108	78	22	58	7.69%	9	750	9.49	0	0	0	0	1	0	0	0	2	160	0	1	50.44%	678	0	0	0.32	0	0	0	0	0	0	0	3
19	Dan Hamhuis	Flyers	D	29	3	7	10	2	4	0	38	27	19	7	13	15.79%	32	495	17.09	0	0	0	1	7	0	0	0	0	80	1	0	0.00%	0	0	0	0.40	0	0	0	0	0	0	1	2
20	Martin Frk	Flyers	LW/RW	62	4	2	6	-12	12	0	40	23	33	8	22	12.12%	4	443	7.15	0	0	0	0	4	0	0	0	0	0	0	1	46.88%	32	0	0	0.27	0	0	0	0	0	0	1	0
21	Luke Schenn	Flyers	D	16	1	3	4	2	14	0	48	10	8	4	4	12.50%	15	248	15.56	0	0	0	0	2	0	0	0	0	7	0	0	0.00%	0	0	0	0.32	0	0	0	0	0	0	0	1
22	Christian Fischer	Phantoms (PHI)	C/RW	39	1	2	3	-7	19	5	33	10	16	4	8	6.25%	3	311	8.00	0	0	0	0	7	0	0	0	0	6	0	0	46.00%	50	0	0	0.19	0	0	1	0	0	0	0	2
23	Christoffer Ehn	Phantoms (PHI)	C/LW	10	1	1	2	-2	4	0	1	10	6	5	2	16.67%	0	77	7.80	0	0	0	0	0	0	0	0	0	5	0	0	53.01%	83	0	0	0.51	0	0	0	0	0	1	0	0
24	Devon Toews	Flyers	D	17	0	1	1	-2	2	0	14	17	8	3	8	0.00%	10	296	17.46	0	1	1	6	51	0	0	0	0	14	0	0	0.00%	0	0	0	0.07	0	0	0	0	0	0	0	0
25	Dillon Heatherington	Phantoms (PHI)	D	2	0	0	0	2	2	0	1	0	0	0	0	0.00%	0	29	14.84	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1497	233	428	661	47	831	55	2119	2044	2473	729	1777	9.42%	677	24984	16.69	75	127	202	661	3225	2	7	9	29	2574	40	17	51.17%	8004	2	1	0.53	15	50	1	1	7	40	46	58

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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	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Devan Dubnyk	Flyers	69	41	21	7	0.919	2.25	4188	4	3	157	1932	0	0	0.750	40	69	10	5	4	4
2	Keith Kinkaid	Flyers	11	6	4	0	0.917	1.96	612	0	0	20	242	1	1	0.000	0	10	69	1	0	0
Stats d'équipe Total ou en Moyenne			80	47	25	7	0.919	2.21	4801	4	3	177	2174	1	1	0.750	40	79	79	6	4	4

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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	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Link
Brady Skjei	Flyers	D	24	1994-03-26	No	214 Lbs	6 ft3	No	No	No	6	Pro & Farm	5,250,000$	5,250,000$	196,524$	No	5,250,000$	5,250,000$	5,250,000$	5,250,000$	5,250,000$	Lien / Lien NHL
Claude Giroux	Flyers	C/LW/RW	30	1988-01-12	No	185 Lbs	5 ft11	No	No	No	4	Pro & Farm	8,275,000$	8,275,000$	309,759$	No	8,275,000$	8,275,000$	8,275,000$			Lien / Lien NHL
Cody Eakin	Flyers	C	27	1991-05-24	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	3,850,000$	3,850,000$	144,118$	No	3,850,000$					Lien / Lien NHL
Dan Girardi	Flyers	D	34	1984-04-29	No	212 Lbs	6 ft1	No	No	No	1	Pro & Farm	3,000,000$	3,000,000$	112,299$	No						Lien / Lien NHL
Dan Hamhuis	Flyers	D	35	1982-12-13	No	204 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,250,000$	1,250,000$	46,791$	No	1,250,000$					Lien / Lien NHL
Devan Dubnyk	Flyers	G	32	1986-05-04	No	224 Lbs	6 ft6	No	No	No	3	Pro & Farm	4,333,000$	4,333,000$	162,198$	No	4,333,000$	4,333,000$				Lien / Lien NHL
Devon Toews	Flyers	D	24	1994-02-21	No	191 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	700,000$	26,203$	No	700,000$					Lien / Lien NHL
Evan Rodrigues	Flyers	C/LW/RW	25	1993-07-28	No	176 Lbs	5 ft10	No	No	No	1	Pro & Farm	650,000$	650,000$	24,332$	No						Lien / Lien NHL
Jack Johnson	Flyers	D	31	1987-01-13	No	227 Lbs	6 ft1	No	No	No	5	Pro & Farm	3,250,000$	3,250,000$	121,658$	No	3,250,000$	3,250,000$	3,250,000$	3,250,000$		Lien / Lien NHL
Jacob Trouba	Flyers	D	24	1994-02-26	No	202 Lbs	6 ft3	No	No	No	1	Pro & Farm	5,500,000$	5,500,000$	205,882$	No						Lien / Lien NHL
Jeff Skinner	Flyers	C/LW	26	1992-05-16	No	187 Lbs	5 ft11	No	No	No	1	Pro & Farm	5,725,000$	5,725,000$	214,305$	No						Lien / Lien NHL
Justin Braun	Flyers	D	31	1987-02-10	No	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	3,800,000$	3,800,000$	142,246$	No	3,800,000$					Lien / Lien NHL
Keith Kinkaid	Flyers	G	29	1989-07-04	No	195 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	46,791$	No						Lien / Lien NHL
Luke Schenn	Flyers	D	28	1989-11-02	No	221 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	800,000$	29,947$	No						Lien / Lien NHL
Martin Frk	Flyers	LW/RW	25	1993-10-05	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,050,000$	1,050,000$	39,305$	No						Lien / Lien NHL
Matt Nieto	Flyers	LW/RW	25	1992-11-05	No	190 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,975,000$	1,975,000$	73,930$	No	1,975,000$					Lien / Lien NHL
Micheal Ferland (Sur la Masse Salariale)	Flyers	LW/RW	26	1992-04-20	No	217 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,750,000$	0$	0$	Yes						Lien / Lien NHL
Nazem Kadri	Flyers	C	28	1990-10-06	No	192 Lbs	6 ft0	No	No	No	4	Pro & Farm	4,500,000$	4,500,000$	168,449$	No	4,500,000$	4,500,000$	4,500,000$			Lien / Lien NHL
Riley Nash	Flyers	C/LW/RW	29	1989-05-09	No	190 Lbs	6 ft1	No	No	No	3	Pro & Farm	2,750,000$	2,750,000$	102,941$	No	2,750,000$	2,750,000$				Lien / Lien NHL
Tobias Rieder	Flyers	LW/RW	25	1993-01-10	No	186 Lbs	5 ft11	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	74,866$	No						Lien / Lien NHL
Tom Wilson	Flyers	RW	24	1994-03-29	No	218 Lbs	6 ft4	No	No	No	6	Pro & Farm	5,166,666$	5,166,666$	193,405$	No	5,166,666$	5,166,666$	5,166,666$	5,166,666$	5,166,666$	Lien / Lien NHL
Torey Krug	Flyers	D	27	1991-04-12	No	186 Lbs	5 ft9	No	No	No	2	Pro & Farm	5,250,000$	5,250,000$	196,524$	No	5,250,000$					Lien / Lien NHL
Tyler Bertuzzi	Flyers	LW/RW	23	1995-02-24	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,400,000$	1,400,000$	52,406$	No	1,400,000$					Lien / Lien NHL
Tyler Johnson	Flyers	C/LW/RW	28	1990-07-29	No	183 Lbs	5 ft8	No	No	No	6	Pro & Farm	5,000,000$	5,000,000$	187,166$	No	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	27.50	200 Lbs	6 ft1	2.50	3,269,778$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
78,474,666$	56,749,666$	38,524,666$	31,441,666$	18,666,666$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tyler Johnson	Claude Giroux	Tom Wilson	30	1	2	2
2	Jeff Skinner	Nazem Kadri	Tyler Bertuzzi	30	1	2	2
3	Evan Rodrigues	Cody Eakin	Matt Nieto	25	1	2	2
4	Tobias Rieder	Riley Nash	Martin Frk	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Torey Krug	Jacob Trouba	30	1	2	2
2	Justin Braun	Brady Skjei	30	1	2	2
3	Jack Johnson	Dan Girardi	25	1	2	2
4	Torey Krug	Jacob Trouba	15	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jeff Skinner	Claude Giroux	Tyler Johnson	60	1	2	2
2	Tyler Bertuzzi	Nazem Kadri	Tom Wilson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Torey Krug	Jacob Trouba	60	1	2	2
2	Justin Braun	Brady Skjei	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Cody Eakin	Tom Wilson	60	1	2	2
2	Riley Nash	Matt Nieto	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jacob Trouba	Dan Girardi	60	1	2	2
2	Justin Braun	Jack Johnson	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Claude Giroux	60	1	2	2	Jacob Trouba	Dan Girardi	60	1	2	2
2	Cody Eakin	40	1	2	2	Justin Braun	Jack Johnson	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Claude Giroux	Jeff Skinner	60	1	2	2
2	Nazem Kadri	Tyler Johnson	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Torey Krug	Jacob Trouba	60	1	2	2
2	Justin Braun	Brady Skjei	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jeff Skinner	Claude Giroux	Tyler Johnson	Jacob Trouba	Torey Krug

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Matt Nieto	Claude Giroux	Tom Wilson	Jacob Trouba	Justin Braun

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Cody Eakin, Evan Rodrigues, Matt Nieto	Evan Rodrigues, Tobias Rieder	Claude Giroux

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dan Girardi, Jack Johnson, Jacob Trouba	Dan Girardi	Brady Skjei, Torey Krug

Tirs de Pénalité
Claude Giroux, Jeff Skinner, Tyler Johnson, Nazem Kadri, Tyler Bertuzzi

Gardien
#1 : Devan Dubnyk, #2 : Keith Kinkaid

Lignes d'Attaque Perso. en Prol.
Claude Giroux, Jeff Skinner, Tyler Johnson, Nazem Kadri, Tom Wilson, Torey Krug, Torey Krug, Tyler Bertuzzi, Riley Nash, Evan Rodrigues, Matt Nieto

Lignes de Défense Perso. en Prol.
Jacob Trouba, Brady Skjei, Justin Braun, Jack Johnson, Dan Girardi

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
1	Avalanche	2	0	2	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	1	0	1	0	49	22	15	12	0	58	12	39	44	7	0	0.00%	14	3	78.57%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	44	28	50	15	24	11
2	Blackhawks	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	19	29	0	0	7	1	2	0	63	22	24	17	0	49	10	10	40	10	3	30.00%	5	0	100.00%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	53	37	40	13	26	14
3	Blue Jackets	4	1	1	0	0	1	1	0	13	14	-1	2	0	0	0	0	1	1	0	7	7	0	2	1	1	0	0	0	0	0	6	7	-1	5	0.625	13	23	36	0	0	4	5	3	3	108	34	41	29	12	150	42	42	96	16	4	25.00%	19	2	89.47%	1	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	98	66	96	33	54	27
4	Blues	2	1	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	3	5	8	0	0	0	2	1	0	55	18	21	16	0	39	12	13	36	6	2	33.33%	3	0	100.00%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	51	35	41	15	26	13
5	Bruins	3	2	0	0	0	0	1	0	10	7	3	2	1	0	0	0	0	1	0	6	4	2	1	1	0	0	0	0	0	0	4	3	1	6	1.000	10	17	27	0	0	3	3	3	1	92	39	27	22	7	80	22	47	71	19	4	21.05%	16	2	87.50%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	79	57	68	22	36	17
6	Canadiens	3	1	1	0	0	0	1	0	9	6	3	2	1	1	0	0	0	0	0	5	3	2	1	0	0	0	0	0	1	0	4	3	1	4	0.667	9	15	24	0	0	4	3	1	1	79	27	26	25	4	118	40	34	91	11	3	27.27%	17	3	82.35%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	70	48	78	21	36	17
7	Canucks	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	2	3	4	1.000	9	17	26	0	0	0	4	5	0	64	12	26	26	0	41	18	32	46	15	4	26.67%	11	2	81.82%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	52	36	41	14	26	13
8	Capitals	4	3	1	0	0	0	0	0	11	9	2	2	1	1	0	0	0	0	0	7	7	0	2	2	0	0	0	0	0	0	4	2	2	6	0.750	11	21	32	0	1	4	5	2	0	110	35	45	30	0	117	30	32	86	15	3	20.00%	16	2	87.50%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	90	60	99	29	49	24
9	Coyotes	2	0	2	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	1	0	1	0	49	14	18	17	0	54	20	22	46	8	0	0.00%	11	2	81.82%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	48	33	44	15	26	13
10	Devils	4	0	0	0	3	0	0	1	12	10	2	2	0	0	0	2	0	0	0	5	3	2	2	0	0	0	1	0	0	1	7	7	0	7	0.875	12	24	36	0	0	2	2	5	3	129	44	39	38	12	126	36	42	94	18	5	27.78%	20	3	85.00%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	102	73	99	30	50	24
11	Ducks	2	0	1	0	0	1	0	0	4	7	-3	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0.250	4	6	10	0	0	2	2	0	0	48	17	16	15	0	44	11	10	44	7	0	0.00%	5	1	80.00%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	46	32	47	15	26	12
12	Flames	2	2	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	5	9	14	0	0	2	1	2	0	50	15	19	16	0	48	10	14	42	12	2	16.67%	7	1	85.71%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	48	33	45	16	25	13
13	Golden Knights	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	6	11	17	0	0	1	2	3	0	54	23	15	16	0	75	19	24	43	5	0	0.00%	12	2	83.33%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	42	28	53	15	24	12
14	Hurricanes	4	1	3	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	1	6	-5	2	1	1	0	0	0	0	0	4	5	-1	2	0.250	5	8	13	0	0	3	1	1	0	99	32	28	39	0	128	29	38	92	8	1	12.50%	18	2	88.89%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	87	57	100	31	51	25
15	Islanders	4	4	0	0	0	0	0	0	20	8	12	2	2	0	0	0	0	0	0	10	3	7	2	2	0	0	0	0	0	0	10	5	5	8	1.000	20	37	57	0	1	10	3	7	0	160	65	42	53	0	81	29	40	102	38	7	18.42%	19	3	84.21%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	112	80	78	28	49	25
16	Jets	2	1	0	0	0	0	1	0	7	3	4	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	0	1	0	3	2	1	4	1.000	7	12	19	0	0	2	2	2	2	50	15	16	16	6	60	21	18	42	11	4	36.36%	8	0	100.00%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	50	35	47	15	26	13
17	Kings	2	1	1	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	5	8	13	0	0	3	0	2	0	59	20	17	22	0	47	8	14	50	9	1	11.11%	5	1	80.00%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	51	37	45	13	23	11
18	Lightning	3	2	0	0	0	0	1	0	10	5	5	1	1	0	0	0	0	0	0	5	3	2	2	1	0	0	0	0	1	0	5	2	3	6	1.000	10	17	27	0	0	2	4	3	2	71	23	23	20	8	85	30	24	83	10	2	20.00%	12	2	83.33%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	79	54	69	21	36	18
19	Maple Leafs	3	1	1	0	0	0	1	0	10	6	4	2	1	1	0	0	0	0	0	7	4	3	1	0	0	0	0	0	1	0	3	2	1	4	0.667	10	16	26	0	0	3	2	4	1	98	33	26	35	7	86	16	24	65	11	2	18.18%	11	2	81.82%	1	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	77	53	68	21	38	19
20	Oilers	2	0	2	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	2	3	5	0	0	0	1	1	0	46	18	8	20	0	56	11	16	49	8	0	0.00%	8	2	75.00%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	46	31	48	14	25	12
21	Panthers	3	0	2	0	0	0	0	1	7	12	-5	1	0	0	0	0	0	0	1	4	5	-1	2	0	2	0	0	0	0	0	3	7	-4	1	0.167	7	12	19	0	0	1	3	3	0	83	36	25	20	5	86	29	31	61	12	3	25.00%	8	3	62.50%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	76	54	68	22	39	20
22	Penguins	4	1	3	0	0	0	0	0	4	7	-3	2	1	1	0	0	0	0	0	4	5	-1	2	0	2	0	0	0	0	0	0	2	-2	2	0.250	4	7	11	0	0	1	0	3	0	89	31	29	29	0	83	35	28	98	19	2	10.53%	14	1	92.86%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	85	56	103	34	50	23
23	Predators	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	0	0	0	0	19	6	6	7	0	33	10	22	24	2	0	0.00%	7	1	85.71%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	20	12	26	7	12	6
24	Rangers	3	3	0	0	0	0	0	0	14	5	9	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	6	1	5	6	1.000	14	27	41	0	0	5	6	3	0	96	35	25	36	0	78	24	31	76	16	4	25.00%	12	2	83.33%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	76	54	66	21	37	18
25	Red Wings	3	1	0	0	0	0	0	2	7	7	0	1	1	0	0	0	0	0	0	3	1	2	2	0	0	0	0	0	0	2	4	6	-2	4	0.667	7	13	20	0	0	2	2	3	0	88	23	27	28	16	84	28	14	72	15	2	13.33%	6	1	83.33%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	85	61	66	21	38	20
26	Sabres	2	2	0	0	0	0	0	0	6	2	4	2	2	0	0	0	0	0	0	6	2	4	0	0	0	0	0	0	0	0	0	0	0	4	1.000	6	11	17	0	0	1	1	4	0	54	21	19	14	0	59	16	30	53	9	2	22.22%	15	1	93.33%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	45	30	50	14	24	11
27	Senateurs	3	2	0	0	0	0	0	1	9	6	3	1	0	0	0	0	0	0	1	3	4	-1	2	2	0	0	0	0	0	0	6	2	4	5	0.833	9	16	25	0	0	2	3	4	1	104	25	40	36	8	71	19	23	73	9	3	33.33%	7	0	100.00%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	79	56	63	20	41	21
28	Sharks	2	1	0	0	1	0	0	0	6	4	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	1	0	0	0	4	3	1	4	1.000	6	12	18	0	0	3	0	2	1	75	25	15	27	8	53	15	26	59	11	4	36.36%	13	2	84.62%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	52	35	43	15	27	14
29	Stars	2	2	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	5	0	5	4	1.000	8	16	24	0	1	4	0	4	0	57	20	18	19	0	53	15	14	42	6	0	0.00%	6	0	100.00%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	53	39	43	13	23	12
	Total	79	37	25	0	4	2	6	5	218	183	35	40	22	10	0	2	2	2	2	117	86	31	39	15	15	0	2	0	4	3	101	97	4	101	0.639	218	394	612	1	3	74	58	76	15	2261	773	718	718	93	2175	633	770	1869	363	67	18.46%	333	46	86.19%	2	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	1969	1366	1835	592	1007	506
31	Wild	2	0	2	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	2	4	6	1	0	1	0	1	0	63	23	22	18	0	33	16	16	49	20	0	0.00%	8	0	100.00%	0	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	56	40	38	15	25	13
	_Since Last GM Reset	79	37	25	0	4	2	6	5	218	183	35	40	22	10	0	2	2	2	2	117	86	31	39	15	15	0	2	0	4	3	101	97	4	101	0.639	218	394	612	1	3	74	58	76	15	2261	773	718	718	93	2175	633	770	1869	363	67	18.46%	333	46	86.19%	2	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	1969	1366	1835	592	1007	506
	_Vs Conference	50	24	12	0	3	1	5	5	147	115	32	26	13	6	0	2	1	2	2	81	61	20	24	11	6	0	1	0	3	3	66	54	12	70	0.700	147	264	411	0	2	47	43	49	12	1460	503	462	454	79	1432	425	480	1213	226	47	20.80%	210	29	86.19%	2	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	1248	867	1179	375	635	316
	_Vs Division	27	13	8	0	3	1	1	1	79	64	15	14	6	4	0	2	1	1	0	42	35	7	13	7	4	0	1	0	0	1	37	29	8	36	0.667	79	147	226	0	2	29	22	24	6	791	276	249	254	24	763	225	253	644	130	26	20.00%	118	15	87.29%	1	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	653	450	645	208	343	168

			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
79	101	W1	218	394	612	2261	2175	633	770	1869	1	3

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
79	37	25	4	2	6	5	218	183

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	22	10	2	2	2	2	117	86

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	15	15	2	0	4	3	101	97

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

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
363	67	18.46%	333	46	86.19%	2

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
773	718	718	93	74	58	76	15

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
1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%

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
1969	1366	1835	592	1007	506

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 - 2019-10-04	13	Blackhawks	2	Flyers	6	W				Sommaire du Match
8 - 2019-10-09	45	Devils	2	Flyers	3	W	X			Sommaire du Match
11 - 2019-10-12	73	Flyers	5	Canucks	2	W				Sommaire du Match
14 - 2019-10-15	88	Flyers	3	Flames	2	W				Sommaire du Match
15 - 2019-10-16	95	Flyers	1	Oilers	2	L				Sommaire du Match
18 - 2019-10-19	118	Stars	1	Flyers	3	W				Sommaire du Match
20 - 2019-10-21	130	Golden Knights	2	Flyers	3	W				Sommaire du Match
23 - 2019-10-24	151	Flyers	4	Blackhawks	2	W				Sommaire du Match
25 - 2019-10-26	165	Blue Jackets	4	Flyers	3	L	X			Sommaire du Match
26 - 2019-10-27	174	Flyers	3	Islanders	1	W				Sommaire du Match
28 - 2019-10-29	182	Flyers	0	Penguins	1	L				Sommaire du Match
31 - 2019-11-01	196	Flyers	3	Devils	4	L	X	X		Sommaire du Match
32 - 2019-11-02	210	Maple Leafs	3	Flyers	2	L				Sommaire du Match
35 - 2019-11-05	226	Hurricanes	4	Flyers	1	L				Sommaire du Match
37 - 2019-11-07	240	Canadiens	2	Flyers	1	L				Sommaire du Match
39 - 2019-11-09	254	Flyers	3	Maple Leafs	2	W	X	X		Sommaire du Match
40 - 2019-11-10	268	Flyers	4	Bruins	3	W				Sommaire du Match
43 - 2019-11-13	283	Capitals	4	Flyers	2	L				Sommaire du Match
45 - 2019-11-15	298	Flyers	2	Senateurs	1	W				Sommaire du Match
46 - 2019-11-16	307	Islanders	3	Flyers	6	W				Sommaire du Match
49 - 2019-11-19	319	Flyers	2	Panthers	4	L				Sommaire du Match
51 - 2019-11-21	336	Flyers	3	Hurricanes	1	W				Sommaire du Match
53 - 2019-11-23	349	Flames	1	Flyers	2	W				Sommaire du Match
55 - 2019-11-25	367	Canucks	2	Flyers	4	W				Sommaire du Match
57 - 2019-11-27	384	Flyers	3	Blue Jackets	5	L				Sommaire du Match
59 - 2019-11-29	397	Red Wings	1	Flyers	3	W				Sommaire du Match
60 - 2019-11-30	404	Flyers	4	Canadiens	3	W	X	X		Sommaire du Match
63 - 2019-12-03	428	Maple Leafs	1	Flyers	5	W				Sommaire du Match
65 - 2019-12-05	442	Coyotes	2	Flyers	0	L				Sommaire du Match
67 - 2019-12-07	452	Senateurs	4	Flyers	3	L	X	X		Sommaire du Match
71 - 2019-12-11	486	Flyers	2	Avalanche	5	L				Sommaire du Match
74 - 2019-12-14	507	Flyers	0	Wild	2	L				Sommaire du Match
75 - 2019-12-15	515	Flyers	3	Jets	2	W	X	X		Sommaire du Match
77 - 2019-12-17	528	Ducks	3	Flyers	2	L	X			Sommaire du Match
79 - 2019-12-19	540	Sabres	1	Flyers	3	W			R3	Sommaire du Match
81 - 2019-12-21	558	Flyers	4	Senateurs	1	W				Sommaire du Match
83 - 2019-12-23	574	Rangers	3	Flyers	5	W				Sommaire du Match
88 - 2019-12-28	601	Flyers	4	Sharks	3	W	X			Sommaire du Match
89 - 2019-12-29	610	Flyers	2	Ducks	4	L				Sommaire du Match
91 - 2019-12-31	622	Flyers	1	Kings	5	L				Sommaire du Match
93 - 2020-01-02	638	Flyers	3	Golden Knights	4	L				Sommaire du Match
95 - 2020-01-04	650	Flyers	2	Coyotes	3	L				Sommaire du Match
98 - 2020-01-07	668	Flyers	1	Hurricanes	4	L				Sommaire du Match
99 - 2020-01-08	676	Capitals	3	Flyers	5	W				Sommaire du Match
102 - 2020-01-11	695	Lightning	3	Flyers	5	W				Sommaire du Match
104 - 2020-01-13	711	Bruins	3	Flyers	4	W	X	X		Sommaire du Match
106 - 2020-01-15	726	Flyers	0	Blues	3	L				Sommaire du Match
107 - 2020-01-16	731	Canadiens	1	Flyers	4	W				Sommaire du Match
109 - 2020-01-18	750	Kings	2	Flyers	4	W				Sommaire du Match
112 - 2020-01-21	763	Penguins	3	Flyers	1	L				Sommaire du Match
122 - 2020-01-31	786	Flyers	0	Penguins	1	L				Sommaire du Match
123 - 2020-02-01	799	Avalanche	1	Flyers	0	L				Sommaire du Match
125 - 2020-02-03	811	Flyers	2	Red Wings	3	L	X	X		Sommaire du Match
128 - 2020-02-06	832	Devils	1	Flyers	2	W	X			Sommaire du Match
130 - 2020-02-08	850	Flyers	1	Capitals	0	W				Sommaire du Match
132 - 2020-02-10	861	Panthers	5	Flyers	4	L	X	X		Sommaire du Match
133 - 2020-02-11	869	Flyers	7	Islanders	4	W				Sommaire du Match
135 - 2020-02-13	883	Flyers	1	Panthers	3	L				Sommaire du Match
137 - 2020-02-15	897	Flyers	2	Lightning	1	W	X	X		Sommaire du Match
140 - 2020-02-18	920	Blue Jackets	3	Flyers	4	W	X	X		Sommaire du Match
142 - 2020-02-20	936	Flyers	3	Blue Jackets	2	W				Sommaire du Match
144 - 2020-02-22	949	Jets	1	Flyers	4	W				Sommaire du Match
147 - 2020-02-25	972	Sharks	1	Flyers	2	W				Sommaire du Match
150 - 2020-02-28	994	Rangers	1	Flyers	3	W				Sommaire du Match
152 - 2020-03-01	1011	Flyers	6	Rangers	1	W				Sommaire du Match
155 - 2020-03-04	1029	Flyers	3	Capitals	2	W				Sommaire du Match
156 - 2020-03-05	1037	Hurricanes	2	Flyers	0	L				Sommaire du Match
158 - 2020-03-07	1057	Sabres	1	Flyers	3	W			R3	Sommaire du Match
161 - 2020-03-10	1073	Bruins	1	Flyers	2	W				Sommaire du Match
163 - 2020-03-12	1085	Flyers	3	Lightning	1	W				Sommaire du Match
165 - 2020-03-14	1098	Wild	3	Flyers	2	L				Sommaire du Match
166 - 2020-03-15	1109	Oilers	2	Flyers	1	L				Sommaire du Match
168 - 2020-03-17	1125	Blues	2	Flyers	3	W				Sommaire du Match
171 - 2020-03-20	1149	Flyers	5	Stars	0	W				Sommaire du Match
172 - 2020-03-21	1159	Flyers	0	Predators	4	L				Sommaire du Match
175 - 2020-03-24	1179	Islanders	0	Flyers	4	W				Sommaire du Match
177 - 2020-03-26	1196	Flyers	2	Red Wings	3	L	X	X		Sommaire du Match
179 - 2020-03-28	1206	Flyers	4	Devils	3	W	X			Sommaire du Match
180 - 2020-03-29	1216	Penguins	2	Flyers	3	W				Sommaire du Match
183 - 2020-04-01	1239	Flyers	-	Rangers	-
184 - 2020-04-02	1246	Predators	-	Flyers	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
186 - 2020-04-04	1261	Flyers	-	Sabres	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	25	200
Assistance	230,730	191,214	75,809	152,975	37,967
Attendance PCT	96.14%	95.61%	94.76%	95.61%	94.92%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
1	17217 - 95.65%	619,866$	24,794,633$	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
69,446,306$	76,724,666$	76,724,666$	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
76,724,666$	69,350,112$	0$	23	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
619,866$	7	410,827$	2,875,789$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
2,915,297$	76,724,666$	54,288,086$	51,992,655$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Claude Giroux	AGE:30	PO:0	OV:76
Jeff Skinner	AGE:26	PO:0	OV:71
Tyler Johnson	AGE:28	PO:0	OV:71
Micheal Ferland	AGE:26	PO:0	OV:69
Tyler Bertuzzi	AGE:23	PO:0	OV:68
Riley Nash	AGE:29	PO:0	OV:67
Evan Rodrigues	AGE:25	PO:0	OV:66
Tobias Rieder	AGE:25	PO:0	OV:66
Matt Nieto	AGE:25	PO:0	OV:66
Martin Frk	AGE:25	PO:0	OV:65
Christoffer Ehn	AGE:22	PO:0	OV:63

Claude Giroux	AGE:30	PO:0	OV:76
Jeff Skinner	AGE:26	PO:0	OV:71
Tyler Johnson	AGE:28	PO:0	OV:71
Nazem Kadri	AGE:28	PO:0	OV:70
Cody Eakin	AGE:27	PO:0	OV:69
Riley Nash	AGE:29	PO:0	OV:67
Evan Rodrigues	AGE:25	PO:0	OV:66
Christian Fischer	AGE:21	PO:0	OV:65
Christoffer Ehn	AGE:22	PO:0	OV:63
*Martin Necas	AGE:19	PO:0	OV:61
*Mikhail Vorobyev	AGE:21	PO:0	OV:60
*J.C. Beaudin	AGE:21	PO:0	OV:59

Claude Giroux	AGE:30	PO:0	OV:76
Tyler Johnson	AGE:28	PO:0	OV:71
Tom Wilson	AGE:24	PO:0	OV:70
Micheal Ferland	AGE:26	PO:0	OV:69
Tyler Bertuzzi	AGE:23	PO:0	OV:68
Riley Nash	AGE:29	PO:0	OV:67
Evan Rodrigues	AGE:25	PO:0	OV:66
Tobias Rieder	AGE:25	PO:0	OV:66
Matt Nieto	AGE:25	PO:0	OV:66
Christian Fischer	AGE:21	PO:0	OV:65
Martin Frk	AGE:25	PO:0	OV:65
Keegan Kolesar	AGE:21	PO:0	OV:61
Bobby Butler	AGE:31	PO:0	OV:60

Défense #1

Défense #2

Gardien

Torey Krug	AGE:27	PO:0	OV:72
Jacob Trouba	AGE:24	PO:0	OV:71
Brady Skjei	AGE:24	PO:0	OV:68
Justin Braun	AGE:31	PO:0	OV:68
Dan Girardi	AGE:34	PO:0	OV:68
Jack Johnson	AGE:31	PO:0	OV:67

Dan Hamhuis	AGE:35	PO:0	OV:65
Devon Toews	AGE:24	PO:0	OV:64
Luke Schenn	AGE:28	PO:0	OV:64
Dillon Heatherington	AGE:23	PO:0	OV:61
Michael Paliotta	AGE:25	PO:0	OV:59

Devan Dubnyk	AGE:32	PO:0	OV:78
Keith Kinkaid	AGE:29	PO:0	OV:74
Hunter Miska	AGE:23	PO:0	OV:65
Jon Gillies	AGE:24	PO:0	OV:64

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
Andrei Markov	Flyers
Clinston Franklin	Flyers	4	122
Conner Hurley	Flyers	3	77
Dennis Rasmussen	Flyers
Greg Rallo	Flyers
Gustav Possler	Flyers	3	68
Hayden Hawkey	Flyers	4	153
Henri Ikonen	Flyers
Jakub Kindl	Flyers
Joel Farabee	Flyers	8	13
Joel Vermin	Flyers
Michael Houser	Flyers
Viktor Loov	Flyers

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6
9				PHI
10			PHI	DET
11	PHI	PHI	WIN PHI	PHI	PHI	PHI
12	PHI	PHI	PHI	PHI	PHI	PHI
13	PHI	PHI	PHI	PHI	PHI	PHI

[2020-03-15 10:00:42 PM] - TRADE : From Hurricanes to Flyers : Luke Schenn (64).
[2020-01-27 5:56:05 PM] - Jeff Skinner has been selected as assistant for Flyers.
[2020-01-27 5:56:05 PM] - Tyler Johnson is no longer as assistant for Flyers.
[2020-01-27 5:56:05 PM] - Dan Girardi has been selected as assistant for Flyers.
[2020-01-27 5:56:05 PM] - Unknown Player is no longer as assistant for Flyers.
[2020-01-20 8:05:08 PM] - TRADE : From Flyers to Senateurs : Mike Green (69), Shayne Gostisbehere (71), Filip Chytil (65), Y:9-RND:1-PHI, Y:9-RND:3-PHI.
[2020-01-20 8:05:08 PM] - TRADE : From Senateurs to Flyers : Nazem Kadri (70), Torey Krug (72), Dan Girardi (68), Evan Rodrigues (66).
[2019-12-22 11:12:04 PM] - TRADE : From Red Wings to Flyers : Tobias Rieder (66), Y:10-RND:4-DET.
[2019-12-22 11:12:04 PM] - TRADE : From Flyers to Red Wings : Kevan Miller (66), Y:10-RND:2-WSH.
[2019-09-16 7:06:46 PM] - Tyler Johnson has been selected as assistant for Flyers.
[2019-09-16 7:06:46 PM] - Unknown Player is no longer as assistant for Flyers.
[2019-09-16 7:06:46 PM] - Mike Green has been selected as assistant for Flyers.
[2019-09-16 7:06:46 PM] - Claude Giroux is no longer as assistant for Flyers.
[2019-09-16 7:06:46 PM] - Claude Giroux has been selected as captain for Flyers.
[2019-09-16 7:06:46 PM] - Unknown Player is no longer captain for Flyers.
[2019-09-13 10:17:27 AM] - Flyers hired John Tortorella for $100,000 for 2 year(s).
[2019-09-13 10:16:53 AM] - Flyers fired Scott Gordon.
[2019-07-28 3:49:31 PM] - TRADE : From Capitals to Flyers : Tyler Bertuzzi (68), Mikhail Vorobyev (60), Y:10-RND:2-WSH.
[2019-07-28 3:49:31 PM] - TRADE : From Flyers to Capitals : Eric Staal (73), Y:10-RND:4-PHI.
[2019-07-28 3:41:38 PM] - TRADE : From Canadiens to Flyers : Jacob Trouba (71).
[2019-07-28 3:41:38 PM] - TRADE : From Flyers to Canadiens : Vincent Trocheck (71), Matt Cullen (66), Y:10-RND:5-PHI.
[2019-06-19 8:43:12 AM] - TRADE : From Flyers to Panthers : Evgenii Dadonov (72).
[2019-06-19 8:43:12 AM] - TRADE : From Panthers to Flyers : Joel Farabee (P), Y:9-RND:1-PHI.
[2019-06-02 8:30:20 PM] - J.C. Beaudin was added to Flyers.

[2020-03-29 8:53:14 PM] Christoffer Ehn from Phantoms has scored a Hat Trick!
[2020-03-28 9:50:24 PM] Keegan Kolesar from Phantoms has scored a Hat Trick!
[2020-03-20 9:10:36 PM] Martin Necas from Phantoms has scored a Hat Trick!
[2020-03-20 9:10:36 PM] Keegan Kolesar from Phantoms has scored a Hat Trick!
[2020-03-15 10:00:42 PM] TRADE : From Hurricanes to Flyers : Luke Schenn (64).
[2020-03-15 9:58:24 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.0.5
[2020-03-15 9:58:24 PM] Flyers cannot claim Luke Schenn from waivers because Hurricanes has already claimed him and has priority.
[2020-03-14 7:44:15 PM] Game 1098 - Micheal Ferland from Flyers is injured (Broken Nose) and is out for 1 month.
[2020-03-14 7:44:10 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.0.5
[2020-03-07 7:32:03 PM] Cody Eakin from Flyers is back from Sprained Left Finger Injury.
[2020-03-06 8:09:17 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.0.5
[2020-03-05 9:53:25 PM] Auto Lines Partial Function has been run for Flyers.
[2020-03-05 9:53:25 PM] Auto Roster Partial Function has been run for Flyers.
[2020-03-04 11:05:18 PM] Game 1029 - Cody Eakin from Flyers is injured (Sprained Left Finger) and is out for 1 week.
[2020-02-26 7:36:48 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.0.5
[2020-02-25 9:52:55 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.0.5

Micheal Ferland est dehors pour 1 semaine à cause de Broken Nose Injury.

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	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
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	82	257	456	713	4	6	84	81	87	8	2799	919	940	920	38	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	70	230	404	634	3	8	83	66	68	22	2578	851	836	848	93	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	80	226	398	624	0	5	77	78	68	4	2354	746	764	834	25	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	94	285	510	795	3	6	92	90	96	8	2677	855	863	940	39	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	62	231	425	656	2	0	79	74	69	11	2631	865	880	855	54	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	92	258	460	718	1	4	84	84	83	8	2649	843	894	888	41	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	79	37	25	0	4	2	6	5	218	183	35	40	22	10	0	2	2	2	2	117	86	31	39	15	15	0	2	0	4	3	101	97	4	101	218	394	612	1	3	74	58	76	15	2261	773	718	718	93	2175	633	770	1869	363	67	18.46%	333	46	86.19%	2	1493	2763	54.04%	1375	2690	51.12%	587	1155	50.82%	1969	1366	1835	592	1007	506
Total Saison Régulière	571	277	187	0	28	29	26	24	1705	1462	243	286	150	83	0	15	14	14	10	895	713	182	285	127	104	0	13	15	12	14	810	749	61	581	1705	3047	4752	14	32	573	531	547	76	17949	5852	5895	6003	383	15904	4477	5178	12249	2183	386	17.68%	2024	343	83.05%	11	10823	20577	52.60%	9902	18996	52.13%	4543	8662	52.45%	14305	10069	13111	4133	7206	3643
Séries
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	23	32	22	3	849	208	289	254	98	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	8	20	15	1	462	122	159	165	16	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	4	1	4	0	101	28	33	39	1	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	24	19	19	1	828	251	246	244	87	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	30	21	23	3	701	221	209	256	15	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
Total Séries	90	55	35	0	0	0	0	0	273	228	45	46	25	21	0	0	0	0	0	143	127	16	44	30	14	0	0	0	0	0	130	101	29	110	273	493	766	1	7	89	93	83	8	2941	830	936	958	217	2815	811	895	1899	353	57	16.15%	310	49	84.19%	0	1775	3402	52.18%	1685	3323	50.71%	719	1411	50.96%	2339	1645	2209	691	1196	600