LHSDB - Philadelphia Flyers

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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	Mikko Rantanen		X	X		99.00	71	55	88	95	88	90	89	96	81	95	90	87	55	80	78	1	42	84	0
2	William Karlsson	X	X			99.00	75	55	94	92	82	90	90	95	85	87	98	87	55	81	80	1	48	84	0
3	Henrik Zetterberg (C)	X	X			100.00	73	55	89	90	91	91	99	91	85	92	71	92	55	95	96	1	46	83	0
4	Dustin Brown			X		99.00	98	55	82	87	93	87	86	90	60	85	88	96	55	85	75	1	22	82	0
5	Sam Reinhart	X		X		100.00	74	55	98	89	80	86	89	90	68	80	85	90	55	75	70	1	67	80	0
6	Thomas Vanek (A)		X	X		100.00	72	55	87	83	89	89	86	87	58	83	85	75	55	88	92	1	42	78	0
7	Patrick Eaves		X	X		100.00	88	55	88	78	92	92	87	79	50	74	80	75	55	85	82	1	48	75	0
8	Radim Vrbata			X		100.00	66	55	89	83	89	89	88	76	60	74	68	76	55	89	89	1	24	74	0
9	Colin Wilson	X	X	X		100.00	74	55	80	85	82	82	74	77	81	71	69	72	55	81	75	1	41	72	0
10	Tom Pyatt	X	X	X		100.00	80	55	75	74	78	73	74	72	60	71	67	85	55	81	79	1	34	71	0
11	Sven Andrighetto		X	X		100.00	71	55	72	80	77	75	76	80	60	75	71	71	55	72	72	1	46	71	0
12	Tomas Jurco		X	X		100.00	76	55	76	83	74	80	80	70	58	64	67	72	55	77	75	1	80	69	0
13	Alexander Edler (A)				X	99.00	94	55	76	84	93	95	87	92	25	85	67	94	55	87	87	1	39	83	0
14	Mike Green				X	99.00	82	55	84	89	85	91	97	92	25	85	70	92	55	80	84	1	45	82	0
15	Mikhail Sergachev (R)				X	100.00	83	55	82	95	82	77	81	95	25	87	69	91	55	78	76	1	46	81	0
16	Cody Franson				X	100.00	70	55	84	86	90	80	83	88	25	72	62	86	55	84	80	1	29	77	0
17	Griffin Reinhart				X	100.00	62	55	68	79	88	65	74	62	25	60	60	59	55	70	53	1	85	64	0
18	Chris Carlisle				X	100.00	55	55	55	60	55	55	72	55	25	55	55	55	55	53	53	1	25	55	0
Rayé
1	Ron Hainsey				X	94.38	83	55	95	74	89	90	90	86	25	76	64	91	55	85	85	1	14	79	0
2	Trevor van Riemsdyk				X	96.07	71	55	92	88	81	81	83	83	25	70	63	91	55	80	78	1	29	77	0

	MOYENNE D'ÉQUIPE					99.25	76	55	83	84	84	83	84	83	50	77	72	82	55	80	78	1	43	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	Al Montoya	98.00	79	69	59	84	80	80	77	72	75	79	55	79	77	1	22	75	0
2	Anthony Stolarz	100.00	69	79	86	87	68	68	70	64	69	69	55	65	66	1	19	70	0
Rayé
1	Martin Jones	97.00	88	96	91	87	91	85	89	86	91	88	55	86	86	1	18	86	0

	MOYENNE D'ÉQUIPE	98.33	79	81	79	86	80	78	79	74	78	79	55	77	76	1	20	77

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Vellucci	80	92	91	84	73	58	68	USA	51	5	1,000,000$

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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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Dustin Brown	Philadelphia Flyers	RW	60	32	32	64	10	61	5	164	135	241	52	159	13.28%	21	1330	22.18	11	7	18	58	212	1	0	1	4	184	5	2	41.53%	484	0	3	0.96	0	2	0	1	0	8	3	5
2	William Karlsson	Philadelphia Flyers	C/LW	60	28	30	58	19	23	5	87	144	243	64	162	11.52%	15	1351	22.52	4	6	10	47	229	1	0	1	7	155	4	0	50.14%	1753	1	0	0.86	2	6	1	0	0	2	4	6
3	Alexander Edler	Philadelphia Flyers	D	58	7	42	49	11	95	5	194	84	104	32	52	6.73%	91	1501	25.88	2	9	11	50	233	0	0	0	0	201	1	1	0.00%	0	0	0	0.65	0	0	0	0	1	2	3	3
4	Sam Reinhart	Philadelphia Flyers	C/RW	59	25	22	47	26	22	10	57	88	172	46	112	14.53%	16	1167	19.79	5	8	13	38	215	0	0	0	3	65	6	1	46.15%	156	1	0	0.81	0	0	0	0	2	4	3	4
5	Mike Green	Philadelphia Flyers	D	60	9	36	45	2	42	0	75	83	108	30	58	8.33%	81	1538	25.64	7	9	16	59	235	0	1	1	2	229	0	1	0.00%	0	0	0	0.59	0	0	0	0	0	1	3	1
6	Mikhail Sergachev	Philadelphia Flyers	D	60	10	33	43	-15	51	5	87	70	104	20	64	9.62%	71	1274	21.25	6	7	13	65	186	0	1	1	2	179	0	1	0.00%	0	0	0	0.67	0	0	0	0	1	1	0	3
7	Mikko Rantanen	Philadelphia Flyers	LW/RW	56	20	21	41	-7	25	5	63	82	186	51	145	10.75%	21	1261	22.53	6	3	9	42	210	1	1	2	11	248	3	1	46.77%	124	0	0	0.65	0	5	1	0	0	4	1	2
8	Henrik Zetterberg	Philadelphia Flyers	C/LW	60	13	24	37	-10	25	15	55	158	148	31	110	8.78%	22	1232	20.55	2	14	16	43	199	0	1	1	2	206	1	2	51.55%	1577	0	0	0.60	1	2	1	1	1	3	2	2
9	Thomas Vanek	Philadelphia Flyers	LW/RW	60	13	13	26	8	37	5	57	44	110	31	67	11.82%	6	1035	17.25	4	5	9	24	157	0	0	0	1	4	1	0	42.86%	70	0	0	0.50	0	0	0	1	0	2	0	1
10	Trevor van Riemsdyk	Philadelphia Flyers	D	57	4	20	24	3	38	0	55	51	29	11	23	13.79%	72	799	14.03	0	0	0	1	1	0	0	0	1	70	1	0	0.00%	0	0	0	0.60	0	0	0	0	0	0	1	1
11	Radim Vrbata	Philadelphia Flyers	RW	57	7	13	20	-7	6	0	29	58	76	25	70	9.21%	6	704	12.37	0	5	5	12	70	0	0	0	0	0	0	0	34.55%	55	0	0	0.57	0	0	0	0	0	0	0	1
12	Patrick Eaves	Philadelphia Flyers	LW/RW	60	5	11	16	0	35	5	66	34	71	20	47	7.04%	7	641	10.70	0	1	1	4	41	0	0	0	0	8	1	0	39.29%	56	0	0	0.50	0	0	1	0	0	0	1	3
13	Ron Hainsey	Philadelphia Flyers	D	58	2	13	15	8	71	15	42	40	37	7	27	5.41%	75	997	17.20	2	1	3	18	85	0	0	0	1	156	1	0	0.00%	0	0	0	0.30	0	0	1	2	0	1	0	0
14	Cody Franson	Philadelphia Flyers	D	27	0	12	12	0	10	0	13	17	10	3	12	0.00%	26	367	13.61	0	0	0	1	5	0	0	0	0	24	0	0	0.00%	0	0	0	0.65	0	0	0	0	0	0	1	0
15	Colin Wilson	Philadelphia Flyers	C/LW/RW	53	6	4	10	-3	16	0	19	55	46	7	20	13.04%	1	425	8.03	0	0	0	0	1	0	0	0	0	10	0	0	50.68%	442	0	1	0.47	0	0	0	0	0	1	0	0
16	Sven Andrighetto	Philadelphia Flyers	LW/RW	60	4	4	8	-4	17	5	24	36	48	10	27	8.33%	1	417	6.95	0	0	0	0	0	0	0	0	0	12	0	0	45.71%	35	0	0	0.38	0	0	0	0	1	0	0	0
17	Tom Pyatt	Philadelphia Flyers	C/LW/RW	59	2	1	3	-4	8	0	45	37	23	9	17	8.70%	7	428	7.26	0	0	0	1	7	0	0	0	1	54	0	1	37.59%	423	0	0	0.14	0	0	0	0	0	0	0	0
18	Alex Biega	Phantoms (Phi)	D	2	0	1	1	1	4	0	3	2	1	0	0	0.00%	1	24	12.13	0	0	0	1	5	0	0	0	0	0	0	0	0.00%	0	0	0	0.82	0	0	0	0	0	0	0	0
19	Tomas Jurco	Philadelphia Flyers	LW/RW	13	1	0	1	-4	2	0	7	3	6	2	2	16.67%	0	76	5.85	0	0	0	0	0	0	0	0	0	0	0	0	66.67%	6	0	0	0.26	0	0	0	0	0	0	0	0
20	Griffin Reinhart	Philadelphia Flyers	D	10	0	1	1	7	8	0	17	1	1	3	1	0.00%	10	133	13.37	0	0	0	0	0	0	0	0	0	8	0	0	0.00%	0	0	0	0.15	0	0	0	0	0	0	0	0
21	Adam Tambellini	Phantoms (Phi)	C/LW	10	0	0	0	1	0	0	3	3	0	1	1	0.00%	0	72	7.29	0	0	0	0	0	0	0	0	0	9	0	0	21.62%	74	0	0	0.00	0	0	0	0	0	0	0	0
22	Chris Carlisle	Philadelphia Flyers	D	1	0	0	0	1	2	0	2	0	0	0	0	0.00%	1	15	15.05	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				1000	188	333	521	43	598	80	1164	1225	1764	455	1176	10.66%	551	16798	16.80	49	75	124	464	2099	3	4	7	35	1832	24	10	47.82%	5255	2	4	0.62	3	15	5	5	6	29	22	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	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Martin Jones	Philadelphia Flyers	56	22	23	6	0.898	3.04	3099	0	4	157	1538	1	2	0.533	15	52	7	4	2	0
2	Al Montoya	Philadelphia Flyers	13	3	6	0	0.904	3.16	475	2	0	25	261	0	1	1.000	4	8	47	0	0	1
3	Anthony Stolarz	Philadelphia Flyers	2	0	0	0	0.913	2.07	58	0	0	2	23	0	0	0.000	0	0	6	0	0	0
Stats d'équipe Total ou en Moyenne			71	25	29	6	0.899	3.04	3633	2	4	184	1822	1	3	0.632	19	60	60	4	2	1

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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
Al Montoya	Philadelphia Flyers	G	31	1985-02-12	No	203 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	750,000$	750,000$	194,915$	No
Alexander Edler	Philadelphia Flyers	D	30	1986-04-20	No	215 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	909,605$	No
Anthony Stolarz	Philadelphia Flyers	G	22	1994-01-19	No	210 Lbs	6 ft6	No	No	No	1	Contrat d'Entrée	Pro & Farm	300,000$	300,000$	77,966$	No
Chris Carlisle	Philadelphia Flyers	D	22	1994-12-16	No	174 Lbs	5 ft10	No	No	No	2	Contrat d'Entrée	Pro & Farm	300,000$	300,000$	77,966$	No
Cody Franson	Philadelphia Flyers	D	29	1987-08-08	No	213 Lbs	6 ft5	No	No	No	2	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	649,718$	No
Colin Wilson	Philadelphia Flyers	C/LW/RW	27	1989-10-20	No	216 Lbs	6 ft1	No	No	No	4	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	259,887$	No
Dustin Brown	Philadelphia Flyers	RW	32	1984-11-04	No	207 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	1,299,435$	No
Griffin Reinhart	Philadelphia Flyers	D	22	1994-01-24	No	217 Lbs	6 ft4	No	No	No	3	Contrat d'Entrée	Pro & Farm	300,000$	300,000$	77,966$	No
Henrik Zetterberg	Philadelphia Flyers	C/LW	36	1980-10-09	No	195 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	10,000,000$	10,000,000$	2,598,870$	No
Martin Jones	Philadelphia Flyers	G	27	1990-01-09	No	187 Lbs	6 ft4	No	No	No	3	Avec Restriction	Pro & Farm	5,000,000$	5,000,000$	1,299,435$	No
Mike Green	Philadelphia Flyers	D	31	1985-10-11	No	207 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	909,605$	No
Mikhail Sergachev	Philadelphia Flyers	D	18	1998-06-25	Yes	216 Lbs	6 ft3	No	No	No	4	Contrat d'Entrée	Pro & Farm	900,000$	900,000$	233,898$	No
Mikko Rantanen	Philadelphia Flyers	LW/RW	20	1996-10-29	No	211 Lbs	6 ft4	No	No	No	3	Contrat d'Entrée	Pro & Farm	900,000$	900,000$	233,898$	No
Patrick Eaves	Philadelphia Flyers	LW/RW	32	1984-04-30	No	200 Lbs	6 ft0	No	No	No	4	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	649,718$	No
Radim Vrbata	Philadelphia Flyers	RW	35	1981-06-12	No	194 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	259,887$	No
Ron Hainsey (Sur la Masse Salariale)	Philadelphia Flyers	D	35	1981-03-23	No	210 Lbs	6 ft3	No	No	No	4	Sans Restriction	Pro & Farm	2,555,555$	0$	0$	Yes
Sam Reinhart	Philadelphia Flyers	C/RW	21	1995-11-06	No	185 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	3,544,000$	3,544,000$	921,040$	No
Sven Andrighetto	Philadelphia Flyers	LW/RW	23	1993-03-20	No	183 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro & Farm	500,000$	500,000$	129,944$	No
Thomas Vanek	Philadelphia Flyers	LW/RW	32	1984-01-18	No	218 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	649,718$	No
Tom Pyatt	Philadelphia Flyers	C/LW/RW	29	1987-02-14	No	188 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	500,000$	500,000$	129,944$	No
Tomas Jurco	Philadelphia Flyers	LW/RW	24	1992-12-27	No	203 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	500,000$	500,000$	129,944$	No
Trevor van Riemsdyk	Philadelphia Flyers	D	25	1991-07-23	No	188 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	300,000$	300,000$	77,966$	No
William Karlsson	Philadelphia Flyers	C/LW	24	1993-01-07	No	180 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	500,000$	500,000$	129,944$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	27.26	201 Lbs	6 ft2	2.35	2,102,155$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
48,349,555$	40,705,555$	20,655,555$	6,955,555$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mikko Rantanen	William Karlsson	Dustin Brown	40	1	2	2
2	Thomas Vanek	Henrik Zetterberg	Sam Reinhart	30	1	2	2
3	Patrick Eaves	Colin Wilson	Radim Vrbata	20	1	2	2
4	Sven Andrighetto	Tom Pyatt	Tomas Jurco	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander Edler	Mike Green	40	1	2	2
2	Mikhail Sergachev	Cody Franson	30	1	2	2
3	Griffin Reinhart	Chris Carlisle	20	1	2	2
4	Alexander Edler	Mike Green	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mikko Rantanen	William Karlsson	Dustin Brown	60	1	2	2
2	Thomas Vanek	Henrik Zetterberg	Sam Reinhart	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander Edler	Mike Green	60	1	2	2
2	Mikhail Sergachev	Cody Franson	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	William Karlsson	Mikko Rantanen	60	1	2	2
2	Henrik Zetterberg	Dustin Brown	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander Edler	Mike Green	60	1	2	2
2	Mikhail Sergachev	Cody Franson	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	William Karlsson	60	1	2	2	Alexander Edler	Mike Green	60	1	2	2
2	Mikko Rantanen	40	1	2	2	Mikhail Sergachev	Cody Franson	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	William Karlsson	Mikko Rantanen	60	1	2	2
2	Henrik Zetterberg	Dustin Brown	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander Edler	Mike Green	60	1	2	2
2	Mikhail Sergachev	Cody Franson	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mikko Rantanen	William Karlsson	Dustin Brown	Alexander Edler	Mike Green

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mikko Rantanen	William Karlsson	Dustin Brown	Alexander Edler	Mike Green

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Patrick Eaves, Radim Vrbata, Colin Wilson	Patrick Eaves, Radim Vrbata	Colin Wilson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Griffin Reinhart, Chris Carlisle, Mikhail Sergachev	Griffin Reinhart	Chris Carlisle, Mikhail Sergachev

Tirs de Pénalité
William Karlsson, Mikko Rantanen, Henrik Zetterberg, Dustin Brown, Sam Reinhart

Gardien
#1 : Al Montoya, #2 : Anthony Stolarz

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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	Anaheim Ducks	2	1	1	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	1	3	2	0.500	6	11	17	0	0	2	0	4	0	63	13	28	22	0	62	23	25	44	7	0	0.00%	9	1	88.89%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	47	32	46	14	26	13
2	Boston Bruins	3	1	2	0	0	0	0	0	9	14	-5	1	0	1	0	0	0	0	0	3	7	-4	2	1	1	0	0	0	0	0	6	7	-1	2	0.333	9	18	27	0	0	3	4	2	0	96	32	35	29	0	78	27	22	51	16	3	18.75%	11	2	81.82%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	72	51	68	22	38	19
3	Buffalo Sabres	2	1	0	0	0	0	1	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	0	1	0	8	2	6	4	1.000	8	13	21	0	1	2	4	1	2	65	18	25	20	5	46	17	8	42	6	0	0.00%	4	0	100.00%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	52	37	47	14	25	12
4	Calgary Flames	2	1	1	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	5	0	5	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	9	15	24	0	1	4	1	4	0	71	23	23	25	0	54	13	14	42	8	2	25.00%	6	0	100.00%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	49	33	43	14	26	13
5	Carolina Hurricanes	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	0	4	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	5	10	15	0	1	2	3	0	0	46	17	16	13	0	48	20	12	41	7	0	0.00%	6	1	83.33%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	46	31	47	14	26	12
6	Chicago Blackhawks	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	1	0	2	0	0	0	23	14	5	4	0	28	8	10	24	5	2	40.00%	5	0	100.00%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	20	14	26	7	12	6
7	Colorado Avalanche	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	3	6	9	0	0	1	2	0	0	50	15	20	15	0	54	26	22	52	8	1	12.50%	10	3	70.00%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	45	30	48	14	25	12
8	Columbus Blue Jackets	3	0	0	0	0	0	1	2	12	13	-1	2	0	0	0	0	0	1	1	10	10	0	1	0	0	0	0	0	0	1	2	3	-1	4	0.667	12	21	33	0	0	4	3	4	2	107	35	36	31	14	79	23	51	62	12	3	25.00%	3	2	33.33%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	86	62	68	23	40	20
9	Dallas Stars	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	1	0	0	28	6	12	10	0	32	7	8	15	2	0	0.00%	4	0	100.00%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	21	14	28	7	10	4
10	Detroit Red Wings	3	2	1	0	0	0	0	0	12	10	2	2	1	1	0	0	0	0	0	9	8	1	1	1	0	0	0	0	0	0	3	2	1	4	0.667	12	22	34	0	0	3	3	6	0	78	28	26	24	0	116	38	38	53	10	1	10.00%	18	4	77.78%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	66	45	76	22	36	17
11	Edmonton Oilers	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	4	7	11	0	0	0	4	0	0	46	4	24	18	0	81	24	14	43	5	3	60.00%	6	1	83.33%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	46	31	46	13	27	13
12	Florida Panthers	3	1	1	0	0	1	0	0	11	10	1	2	1	1	0	0	0	0	0	8	6	2	1	0	0	0	0	1	0	0	3	4	-1	3	0.500	11	19	30	1	0	5	3	3	0	135	41	40	52	2	95	26	26	50	13	1	7.69%	13	2	84.62%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	79	56	66	22	34	18
13	Los Angeles Kings	2	2	0	0	0	0	0	0	12	9	3	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	5	4	1	4	1.000	12	20	32	0	0	4	5	3	0	67	19	19	29	0	60	17	12	38	13	4	30.77%	6	2	66.67%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	48	33	46	14	25	12
14	Minnesota Wild	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	5	10	15	0	0	0	3	2	0	61	18	28	15	0	78	20	20	24	4	0	0.00%	9	4	55.56%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	42	28	52	15	24	11
15	Montreal Canadiens	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	1	0	0	29	9	10	9	4	32	8	14	24	2	0	0.00%	7	0	100.00%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	22	15	28	7	13	6
16	Nashville Predators	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	8	13	0	0	1	0	4	0	58	21	21	16	0	46	15	16	38	7	0	0.00%	8	1	87.50%	1	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	43	28	50	14	25	12
17	New Jersey Devils	3	2	0	0	0	0	0	1	8	6	2	2	2	0	0	0	0	0	0	7	4	3	1	0	0	0	0	0	0	1	1	2	-1	5	0.833	8	15	23	0	1	3	3	2	0	90	33	34	22	5	98	30	64	81	19	3	15.79%	23	2	91.30%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	70	46	75	23	38	19
18	New York Islanders	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	1	0	0	0	40	13	14	13	0	27	7	6	24	4	0	0.00%	3	1	66.67%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	27	21	20	7	11	5
19	New York Rangers	3	1	2	0	0	0	0	0	8	10	-2	1	0	1	0	0	0	0	0	3	4	-1	2	1	1	0	0	0	0	0	5	6	-1	2	0.333	8	16	24	0	0	5	1	2	0	91	40	25	26	0	80	32	36	61	11	3	27.27%	16	2	87.50%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	73	49	69	22	37	19
20	Ottawa Senators	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	10	16	1	0	2	1	3	0	58	15	19	24	0	64	18	18	44	10	2	20.00%	8	2	75.00%	1	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	48	33	48	14	23	12
21	Phoenix Coyotes	2	1	1	0	0	0	0	0	6	6	0	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	6	9	15	0	0	2	3	1	0	46	20	14	12	0	70	23	39	35	10	2	20.00%	11	5	54.55%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	47	33	48	14	23	11
22	Pittsburgh Penguins	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	3	5	8	0	0	0	1	2	0	51	15	21	15	0	65	15	13	45	4	1	25.00%	3	1	66.67%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	49	34	44	14	25	13
23	San Jose Sharks	2	0	1	0	1	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	2	5	-3	1	0	0	0	1	0	0	0	5	4	1	2	0.500	7	14	21	0	0	2	1	3	1	58	21	15	17	5	89	21	32	41	6	1	16.67%	11	1	90.91%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	47	31	52	13	24	12
24	St. Louis Blues	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	22	5	9	8	0	39	17	10	21	2	0	0.00%	5	1	80.00%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	22	15	24	6	12	6
25	Tampa Bay Lightning	3	2	1	0	0	0	0	0	6	6	0	2	2	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	3	-2	4	0.667	6	11	17	0	0	3	2	1	0	94	40	25	29	0	81	24	18	75	13	2	15.38%	9	2	77.78%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	74	52	68	22	36	18
26	Toronto Maple Leafs	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	9	14	0	0	2	0	3	0	38	10	11	17	0	20	4	23	18	3	2	66.67%	4	0	100.00%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	24	17	21	7	13	7
	Total	60	22	29	0	1	2	2	4	184	191	-7	31	13	16	0	0	0	1	1	99	97	2	29	9	13	0	1	2	1	3	85	94	-9	56	0.467	184	329	513	3	4	64	61	56	5	1834	593	632	591	37	1825	561	669	1213	235	39	16.60%	254	49	80.71%	3	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	1448	998	1432	444	757	377
28	Vancouver Canucks	2	0	1	0	0	1	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	5	9	14	0	0	2	2	1	0	40	11	12	15	2	56	22	41	36	5	0	0.00%	12	4	66.67%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	43	27	51	17	27	13
29	Vegas Golden Knights	2	1	1	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	10	19	29	0	0	5	2	3	0	79	26	26	27	0	62	17	22	41	6	0	0.00%	9	2	77.78%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	47	32	47	15	25	12
30	Washington Capitals	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	2	3	2	1.000	5	7	12	0	0	1	3	1	0	36	9	15	12	0	42	10	15	18	4	1	25.00%	5	0	100.00%	1	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	22	14	25	7	12	6
31	Winnipeg Jets	2	1	1	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	5	1	4	2	0.500	7	12	19	0	0	2	4	1	0	68	22	24	22	0	43	9	20	30	13	2	15.38%	10	3	70.00%	0	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	56	40	39	13	24	12
	_Since Last GM Reset	60	22	29	0	1	2	2	4	184	191	-7	31	13	16	0	0	0	1	1	99	97	2	29	9	13	0	1	2	1	3	85	94	-9	56	0.467	184	329	513	3	4	64	61	56	5	1834	593	632	591	37	1825	561	669	1213	235	39	16.60%	254	49	80.71%	3	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	1448	998	1432	444	757	377
	_Vs Conference	33	14	12	0	0	1	2	4	101	96	5	16	8	6	0	0	0	1	1	55	48	7	17	6	6	0	0	1	1	3	46	48	-2	37	0.561	101	182	283	2	3	37	32	30	4	1054	355	352	336	30	971	299	364	689	134	22	16.42%	133	21	84.21%	2	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	817	570	777	247	416	208
	_Vs Division	15	5	6	0	0	0	1	3	42	45	-3	8	3	3	0	0	0	1	1	26	23	3	7	2	3	0	0	0	0	2	16	22	-6	15	0.500	42	76	118	0	2	16	14	11	2	461	162	161	132	19	439	137	197	332	61	11	18.03%	59	9	84.75%	1	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	375	260	351	112	192	96

			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
60	56	W3	184	329	513	1834	1825	561	669	1213	3	4

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
60	22	29	1	2	2	4	184	191

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	13	16	0	0	1	1	99	97

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	9	13	1	2	1	3	85	94

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	5	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
235	39	16.60%	254	49	80.71%	3

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
593	632	591	37	64	61	56	5

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
1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%

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
1448	998	1432	444	757	377

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
2 - 2018-09-06	14	Philadelphia Flyers	4	Vegas Golden Knights	5	L				Sommaire du Match
4 - 2018-09-08	20	Philadelphia Flyers	2	Colorado Avalanche	4	L				Sommaire du Match
7 - 2018-09-11	40	San Jose Sharks	5	Philadelphia Flyers	2	L				Sommaire du Match
8 - 2018-09-12	43	Philadelphia Flyers	2	Ottawa Senators	4	L				Sommaire du Match
10 - 2018-09-14	68	Vegas Golden Knights	3	Philadelphia Flyers	6	W				Sommaire du Match
13 - 2018-09-17	81	Florida Panthers	4	Philadelphia Flyers	2	L				Sommaire du Match
15 - 2018-09-19	90	Philadelphia Flyers	2	Columbus Blue Jackets	3	L	X	X		Sommaire du Match
17 - 2018-09-21	109	New Jersey Devils	0	Philadelphia Flyers	2	W			R3	Sommaire du Match
19 - 2018-09-23	119	Colorado Avalanche	3	Philadelphia Flyers	1	L				Sommaire du Match
22 - 2018-09-26	135	Philadelphia Flyers	1	Boston Bruins	5	L				Sommaire du Match
24 - 2018-09-28	155	New York Islanders	3	Philadelphia Flyers	1	L				Sommaire du Match
27 - 2018-10-01	167	Philadelphia Flyers	4	Anaheim Ducks	1	W				Sommaire du Match
29 - 2018-10-03	184	Philadelphia Flyers	5	Los Angeles Kings	4	W				Sommaire du Match
31 - 2018-10-05	203	Philadelphia Flyers	5	San Jose Sharks	4	W	X			Sommaire du Match
33 - 2018-10-07	210	Philadelphia Flyers	1	Phoenix Coyotes	3	L				Sommaire du Match
36 - 2018-10-10	234	Phoenix Coyotes	3	Philadelphia Flyers	5	W				Sommaire du Match
38 - 2018-10-12	250	Chicago Blackhawks	4	Philadelphia Flyers	2	L				Sommaire du Match
41 - 2018-10-15	271	Florida Panthers	2	Philadelphia Flyers	6	W				Sommaire du Match
43 - 2018-10-17	283	New Jersey Devils	4	Philadelphia Flyers	5	W			R3	Sommaire du Match
45 - 2018-10-19	300	Tampa Bay Lightning	1	Philadelphia Flyers	2	W				Sommaire du Match
49 - 2018-10-23	320	Philadelphia Flyers	5	Buffalo Sabres	0	W				Sommaire du Match
50 - 2018-10-24	341	New York Rangers	4	Philadelphia Flyers	3	L				Sommaire du Match
51 - 2018-10-25	356	Philadelphia Flyers	5	Toronto Maple Leafs	1	W				Sommaire du Match
54 - 2018-10-28	373	Ottawa Senators	1	Philadelphia Flyers	4	W				Sommaire du Match
58 - 2018-11-01	405	Philadelphia Flyers	2	Pittsburgh Penguins	5	L				Sommaire du Match
63 - 2018-11-06	434	Columbus Blue Jackets	5	Philadelphia Flyers	4	L	X	X		Sommaire du Match
65 - 2018-11-08	446	Philadelphia Flyers	3	Buffalo Sabres	2	W	X	X		Sommaire du Match
66 - 2018-11-09	460	Philadelphia Flyers	5	Winnipeg Jets	1	W				Sommaire du Match
69 - 2018-11-12	476	Philadelphia Flyers	4	Calgary Flames	6	L				Sommaire du Match
71 - 2018-11-14	490	Philadelphia Flyers	1	Edmonton Oilers	6	L				Sommaire du Match
72 - 2018-11-15	503	Philadelphia Flyers	3	Vancouver Canucks	4	L	X			Sommaire du Match
75 - 2018-11-18	526	Detroit Red Wings	6	Philadelphia Flyers	3	L				Sommaire du Match
77 - 2018-11-20	536	Nashville Predators	1	Philadelphia Flyers	3	W				Sommaire du Match
79 - 2018-11-22	554	Columbus Blue Jackets	5	Philadelphia Flyers	6	W	X	X		Sommaire du Match
80 - 2018-11-23	563	Philadelphia Flyers	3	New York Rangers	2	W				Sommaire du Match
81 - 2018-11-24	576	Philadelphia Flyers	1	Tampa Bay Lightning	3	L				Sommaire du Match
83 - 2018-11-26	589	Philadelphia Flyers	3	Florida Panthers	4	L	X			Sommaire du Match
85 - 2018-11-28	601	Philadelphia Flyers	1	Carolina Hurricanes	4	L				Sommaire du Match
86 - 2018-11-29	613	Philadelphia Flyers	2	Nashville Predators	4	L				Sommaire du Match
88 - 2018-12-01	626	Carolina Hurricanes	0	Philadelphia Flyers	4	W				Sommaire du Match
90 - 2018-12-03	641	Calgary Flames	0	Philadelphia Flyers	5	W				Sommaire du Match
92 - 2018-12-05	654	St. Louis Blues	3	Philadelphia Flyers	1	L				Sommaire du Match
93 - 2018-12-06	667	Philadelphia Flyers	5	Washington Capitals	2	W				Sommaire du Match
95 - 2018-12-08	678	Dallas Stars	2	Philadelphia Flyers	1	L				Sommaire du Match
97 - 2018-12-10	694	Philadelphia Flyers	1	New Jersey Devils	2	L	X	X	R3	Sommaire du Match
99 - 2018-12-12	708	Minnesota Wild	6	Philadelphia Flyers	2	L				Sommaire du Match
101 - 2018-12-14	724	Boston Bruins	7	Philadelphia Flyers	3	L				Sommaire du Match
104 - 2018-12-17	745	Philadelphia Flyers	2	Montreal Canadiens	3	L	X	X		Sommaire du Match
109 - 2018-12-22	771	Winnipeg Jets	4	Philadelphia Flyers	2	L				Sommaire du Match
110 - 2018-12-23	775	Philadelphia Flyers	2	New York Rangers	4	L				Sommaire du Match
112 - 2018-12-25	778	Philadelphia Flyers	5	Boston Bruins	2	W				Sommaire du Match
114 - 2018-12-27	798	Edmonton Oilers	4	Philadelphia Flyers	3	L				Sommaire du Match
116 - 2018-12-29	807	Vancouver Canucks	3	Philadelphia Flyers	2	L				Sommaire du Match
119 - 2019-01-01	834	Los Angeles Kings	5	Philadelphia Flyers	7	W				Sommaire du Match
121 - 2019-01-03	846	Anaheim Ducks	3	Philadelphia Flyers	2	L				Sommaire du Match
123 - 2019-01-05	860	Pittsburgh Penguins	2	Philadelphia Flyers	1	L				Sommaire du Match
124 - 2019-01-06	868	Philadelphia Flyers	3	Minnesota Wild	4	L				Sommaire du Match
128 - 2019-01-10	898	Detroit Red Wings	2	Philadelphia Flyers	6	W				Sommaire du Match
129 - 2019-01-11	905	Philadelphia Flyers	3	Detroit Red Wings	2	W				Sommaire du Match
131 - 2019-01-13	923	Tampa Bay Lightning	2	Philadelphia Flyers	3	W				Sommaire du Match
133 - 2019-01-15	932	Philadelphia Flyers	-	Montreal Canadiens	-
135 - 2019-01-17	952	Pittsburgh Penguins	-	Philadelphia Flyers	-
138 - 2019-01-20	974	Buffalo Sabres	-	Philadelphia Flyers	-
140 - 2019-01-22	986	Philadelphia Flyers	-	Columbus Blue Jackets	-
141 - 2019-01-23	994	Philadelphia Flyers	-	New Jersey Devils	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25	1013	Philadelphia Flyers	-	New York Islanders	-
146 - 2019-01-28	1030	Washington Capitals	-	Philadelphia Flyers	-
149 - 2019-01-31	1055	Philadelphia Flyers	-	New York Islanders	-
151 - 2019-02-02	1070	Ottawa Senators	-	Philadelphia Flyers	-
154 - 2019-02-05	1090	Washington Capitals	-	Philadelphia Flyers	-
155 - 2019-02-06	1097	Philadelphia Flyers	-	Toronto Maple Leafs	-
157 - 2019-02-08	1116	Philadelphia Flyers	-	Pittsburgh Penguins	-
159 - 2019-02-10	1130	Montreal Canadiens	-	Philadelphia Flyers	-
161 - 2019-02-12	1138	Philadelphia Flyers	-	Chicago Blackhawks	-
163 - 2019-02-14	1158	New York Islanders	-	Philadelphia Flyers	-
164 - 2019-02-15	1168	Philadelphia Flyers	-	Washington Capitals	-
167 - 2019-02-18	1188	Toronto Maple Leafs	-	Philadelphia Flyers	-
170 - 2019-02-21	1204	Philadelphia Flyers	-	Carolina Hurricanes	-
171 - 2019-02-22	1218	New York Rangers	-	Philadelphia Flyers	-
173 - 2019-02-24	1233	Philadelphia Flyers	-	Dallas Stars	-
175 - 2019-02-26	1250	Philadelphia Flyers	-	St. Louis Blues	-
177 - 2019-02-28	1267	Carolina Hurricanes	-	Philadelphia Flyers	-

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	20	200
Assistance	172,604	146,317	58,582	115,352	29,238
Attendance PCT	92.80%	94.40%	94.49%	93.03%	94.32%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
10	16842 - 93.57%	1,052,258$	32,619,986$	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
37,033,854$	48,349,555$	26,102,000$	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
45,794,000$	36,219,188$	0$	22	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
10,522,576$	46	278,811$	12,825,306$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
12,909,411$	45,794,000$	3,686,834$	1,299,999$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Mikko Rantanen	AGE:20	PO:1	OV:84
William Karlsson	AGE:24	PO:1	OV:84
Henrik Zetterberg	AGE:36	PO:1	OV:83
Thomas Vanek	AGE:32	PO:1	OV:78
Patrick Eaves	AGE:32	PO:1	OV:75
Colin Wilson	AGE:27	PO:1	OV:72
Tom Pyatt	AGE:29	PO:1	OV:71
Sven Andrighetto	AGE:23	PO:1	OV:71
Tomas Jurco	AGE:24	PO:1	OV:69
Chris Thorburn	AGE:33	PO:1	OV:66
David Booth	AGE:32	PO:1	OV:65
Iiro Pakarinen	AGE:25	PO:1	OV:65
Adam Tambellini	AGE:22	PO:1	OV:59
Bryce Van Brabant	AGE:25	PO:1	OV:58
Alex Friesen	AGE:25	PO:1	OV:57
Paul Bissonnette	AGE:31	PO:1	OV:57
Brandon Mashinter	AGE:28	PO:1	OV:55
Rene Bourque	AGE:35	PO:1	OV:54
Sergey Kalinin	AGE:25	PO:1	OV:53

William Karlsson	AGE:24	PO:1	OV:84
Henrik Zetterberg	AGE:36	PO:1	OV:83
Sam Reinhart	AGE:21	PO:1	OV:80
Colin Wilson	AGE:27	PO:1	OV:72
Tom Pyatt	AGE:29	PO:1	OV:71
Landon Ferraro	AGE:25	PO:1	OV:60
Adam Tambellini	AGE:22	PO:1	OV:59
Bryce Van Brabant	AGE:25	PO:1	OV:58
Alex Friesen	AGE:25	PO:1	OV:57
Marco Roy	AGE:22	PO:1	OV:55
Sergey Kalinin	AGE:25	PO:1	OV:53

Mikko Rantanen	AGE:20	PO:1	OV:84
Dustin Brown	AGE:32	PO:1	OV:82
Sam Reinhart	AGE:21	PO:1	OV:80
Thomas Vanek	AGE:32	PO:1	OV:78
Patrick Eaves	AGE:32	PO:1	OV:75
Radim Vrbata	AGE:35	PO:1	OV:74
Colin Wilson	AGE:27	PO:1	OV:72
Tom Pyatt	AGE:29	PO:1	OV:71
Sven Andrighetto	AGE:23	PO:1	OV:71
Tomas Jurco	AGE:24	PO:1	OV:69
Chris Thorburn	AGE:33	PO:1	OV:66
David Booth	AGE:32	PO:1	OV:65
Iiro Pakarinen	AGE:25	PO:1	OV:65
Tomas Hyka	AGE:23	PO:1	OV:61
Mike Blunden	AGE:30	PO:1	OV:61
Scott Kosmachuk	AGE:22	PO:1	OV:56
Rene Bourque	AGE:35	PO:1	OV:54
Colin McDonald	AGE:32	PO:1	OV:54
Sergey Kalinin	AGE:25	PO:1	OV:53

Défense #1

Défense #2

Gardien

Alexander Edler	AGE:30	PO:1	OV:83
Mike Green	AGE:31	PO:1	OV:82
*Mikhail Sergachev	AGE:18	PO:1	OV:81
Ron Hainsey	AGE:35	PO:1	OV:79
Cody Franson	AGE:29	PO:1	OV:77
Trevor van Riemsdyk	AGE:25	PO:1	OV:77
Robert Bortuzzo	AGE:27	PO:1	OV:74
Alex Biega	AGE:28	PO:1	OV:70
*Oscar Fantenberg	AGE:25	PO:1	OV:68
Yohann Auvitu	AGE:27	PO:1	OV:67
Matt Tennyson	AGE:26	PO:1	OV:66

Griffin Reinhart	AGE:22	PO:1	OV:64
Clayton Stoner	AGE:31	PO:1	OV:58
Jakub Kindl	AGE:29	PO:1	OV:57
Cameron Gaunce	AGE:26	PO:1	OV:56
Chris Carlisle	AGE:22	PO:1	OV:55
Andrew Campbell	AGE:28	PO:1	OV:54
Mattias Backman	AGE:24	PO:1	OV:54
*Kirill Gotovets	AGE:25	PO:1	OV:54
Adam Comrie	AGE:26	PO:1	OV:53
Patrick McNally	AGE:25	PO:1	OV:53
*Brian Cooper	AGE:23	PO:1	OV:53

Martin Jones	AGE:27	PO:1	OV:86
Al Montoya	AGE:31	PO:1	OV:75
Eddie Lack	AGE:29	PO:1	OV:72
Niklas Svedberg	AGE:27	PO:1	OV:70
Anthony Stolarz	AGE:22	PO:1	OV:70
Mike McKenna	AGE:33	PO:1	OV:67

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
Cameron Crotty	Philadelphia Flyers	13	137
Nick Henry	Philadelphia Flyers	13	105

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6
14	Phi
15	Phi Ana
16			Ana			Phi
17	Phi	Phi	Phi	Phi	Phi	Pit
18	Phi	Phi	Phi	Phi	Phi	Phi

[2019-02-08 10:31:35] - TRADE : From Philadelphia Flyers to Anaheim Ducks : Phil Kessel (85), Andrew MacDonald (77), Scott Walford (P).
[2019-02-08 10:31:35] - TRADE : From Anaheim Ducks to Philadelphia Flyers : Sam Reinhart (80), Cody Franson (77), Y:15-RND:1-Ana.
[2019-01-30 09:38:58] - TRADE : From Philadelphia Flyers to Florida Panthers : Tyler Ennis (70).
[2019-01-30 09:38:58] - TRADE : From Florida Panthers to Philadelphia Flyers : Radim Vrbata (74).
[2019-01-17 17:53:25] - TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:15-RND:5-Phi, Y:16-RND:5-Phi.
[2019-01-17 17:53:25] - TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Tom Pyatt (71), Y:17-RND:6-Pit.
[2019-01-17 17:51:08] - TRADE : From Vegas Golden Knights to Philadelphia Flyers : Dustin Brown (82).
[2019-01-17 17:51:08] - TRADE : From Philadelphia Flyers to Vegas Golden Knights : Corey Perry (79), Victor Rask (75), Y:15-RND:2-Phi.
[2019-01-16 14:31:53] - TRADE : From Philadelphia Flyers to Anaheim Ducks : Rick Nash (78).
[2019-01-16 14:31:53] - TRADE : From Anaheim Ducks to Philadelphia Flyers : Y:16-RND:3-Ana.
[2018-10-03 14:37:57] - TRADE : From Toronto Maple Leafs to Philadelphia Flyers : Al Montoya, Alex Biega.
[2018-10-03 14:37:57] - TRADE : From Philadelphia Flyers to Toronto Maple Leafs : Chad Johnson.
[2018-10-03 14:34:43] - Alexander Edler has been selected as assistant for Philadelphia Flyers.
[2018-10-03 14:34:43] - Unknown Player is no longer as assistant for Philadelphia Flyers.
[2018-10-03 14:34:43] - Thomas Vanek has been selected as assistant for Philadelphia Flyers.
[2018-10-03 14:34:43] - Unknown Player is no longer as assistant for Philadelphia Flyers.
[2018-09-29 10:51:13] - Team Name Change : Adirondack Phantoms changed name to Phantoms
[2018-09-29 10:36:33] - Team Name Change : Philadelphie Flyers changed name to Philadelphia Flyers
[2018-09-23 12:49:25] - TRADE : From Philadelphie Flyers to Boston Bruins : Y:16-RND:2-Phi.
[2018-09-23 12:49:25] - TRADE : From Boston Bruins to Philadelphie Flyers : Rick Nash.
[2018-09-05 22:31:05] - Ron Hainsey was added to Philadelphie Flyers.
[2018-09-03 12:38:13] - TRADE : From New York Islanders to Philadelphie Flyers : Corey Perry, Sven Andrighetto.
[2018-09-03 12:38:13] - TRADE : From Philadelphie Flyers to New York Islanders : Loui Eriksson, Y:15-RND:1-Nas.
[2018-09-02 11:49:25] - TRADE : From Philadelphie Flyers to Chicago Blackhawks : Henrik Sedin.
[2018-08-29 16:16:40] - Oscar Fantenberg was added to Philadelphie Flyers.

[2019-02-15 15:22:26] Trevor van Riemsdyk from Philadelphia Flyers is back from Left Leg Injury.
[2019-02-14 16:37:29] Martin Jones from Philadelphia Flyers is back from Exhaustion.
[2019-02-14 16:36:33] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-02-14 16:36:33] Anthony Stolarz of Philadelphia Flyers was sent to pro.
[2019-02-14 16:36:33] Chris Carlisle of Philadelphia Flyers was sent to pro.
[2019-02-13 09:49:42] Tom Pyatt from Philadelphia Flyers is back from Sprained Left Knee Injury.
[2019-02-13 09:49:41] Martin Jones from Philadelphia Flyers injured (Exhaustion)
[2019-02-13 09:49:41] Game 905 - Tom Pyatt from Philadelphia Flyers is injured (Sprained Left Knee) and is out for 2 days.
[2019-02-13 09:49:41] Game 905 - Ron Hainsey from Philadelphia Flyers is injured (Bruised Left Foot) and is out for 6 days.
[2019-02-09 10:19:22] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-02-09 10:19:22] Griffin Reinhart of Philadelphia Flyers was sent to pro.
[2019-02-08 10:31:35] TRADE : From Philadelphia Flyers to Anaheim Ducks : Phil Kessel (85), Andrew MacDonald (77), Scott Walford (P).
[2019-02-08 10:31:35] TRADE : From Anaheim Ducks to Philadelphia Flyers : Sam Reinhart (80), Cody Franson (77), Y:15-RND:1-Ana.
[2019-02-08 10:29:07] Game 868 - Trevor van Riemsdyk from Philadelphia Flyers is injured (Left Leg) and is out for 1 week.
[2019-02-07 10:16:53] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-02-03 22:03:56] Dustin Brown from Philadelphia Flyers has scored a Hat Trick!
[2019-02-01 08:51:44] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-01-31 10:13:03] Auto Lines Partial Function has been run for Philadelphia Flyers.
[2019-01-30 09:38:58] TRADE : From Philadelphia Flyers to Florida Panthers : Tyler Ennis (70).
[2019-01-30 09:38:58] TRADE : From Florida Panthers to Philadelphia Flyers : Radim Vrbata (74).
[2019-01-25 15:38:51] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-01-25 15:38:51] Anthony Stolarz of Philadelphia Flyers was sent to farm.
[2019-01-18 19:21:07] Successfully loaded Philadelphia Flyers lines done with STHS Client - 3.1.6.6
[2019-01-18 19:21:07] Tomas Jurco of Philadelphia Flyers was sent to pro.
[2019-01-18 19:21:07] Adam Tambellini of Philadelphia Flyers was sent down to farm.
[2019-01-17 17:53:25] TRADE : From Philadelphia Flyers to Pittsburgh Penguins : Y:15-RND:5-Phi, Y:16-RND:5-Phi.
[2019-01-17 17:53:25] TRADE : From Pittsburgh Penguins to Philadelphia Flyers : Tom Pyatt (71), Y:17-RND:6-Pit.
[2019-01-17 17:51:08] TRADE : From Vegas Golden Knights to Philadelphia Flyers : Dustin Brown (82).
[2019-01-17 17:51:08] TRADE : From Philadelphia Flyers to Vegas Golden Knights : Corey Perry (79), Victor Rask (75), Y:15-RND:2-Phi.
[2019-01-16 14:31:53] TRADE : From Philadelphia Flyers to Anaheim Ducks : Rick Nash (78).
[2019-01-16 14:31:53] TRADE : From Anaheim Ducks to Philadelphia Flyers : Y:16-RND:3-Ana.
[2019-01-16 14:29:38] Al Montoya from Philadelphia Flyers is back from Sprained Left Finger Injury.
[2019-01-15 16:16:05] Philadelphia Flyers are expected to be over the salary cap by 5 555 $!

Pas de Blessure ou de Suspension.

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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
13	60	22	29	0	1	2	2	4	184	191	-7	31	13	16	0	0	0	1	1	99	97	2	29	9	13	0	1	2	1	3	85	94	-9	56	184	329	513	3	4	64	61	56	5	1834	593	632	591	37	1825	561	669	1213	235	39	16.60%	254	49	80.71%	3	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	1448	998	1432	444	757	377
Total Saison Régulière	60	22	29	0	1	2	2	4	184	191	-7	31	13	16	0	0	0	1	1	99	97	2	29	9	13	0	1	2	1	3	85	94	-9	56	184	329	513	3	4	64	61	56	5	1834	593	632	591	37	1825	561	669	1213	235	39	16.60%	254	49	80.71%	3	1088	2225	48.90%	1064	2127	50.02%	483	955	50.58%	1448	998	1432	444	757	377