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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	Jakub Voracek			X		100.00	59	44	84	90	80	92	98	92	66	91	72	59	68	80	65	70	73	87	0
2	Joe Thornton	X				100.00	63	43	80	81	86	89	76	75	82	80	71	55	72	99	90	36	81	84	0
3	Sebastian Aho	X	X			100.00	65	42	84	91	61	89	93	83	75	75	81	60	77	56	55	76	81	81	0
4	Clayton Keller	X	X	X		100.00	56	42	84	89	58	89	97	81	78	80	75	60	71	53	52	89	81	80	0
5	Mika Zibanejad	X				100.00	71	41	88	84	84	88	88	72	81	61	81	69	76	66	60	85	81	79	0
6	James van Riemsdyk		X			100.00	60	42	83	76	83	82	97	77	50	57	84	59	79	74	64	73	80	78	0
7	Alexander Steen	X	X	X		100.00	64	42	84	82	75	90	91	80	66	71	67	76	69	85	68	43	81	77	0
8	Nick Bonino	X	X			100.00	59	41	85	85	72	84	86	75	84	55	63	89	70	69	62	39	81	75	0
9	Travis Konecny		X	X		100.00	70	43	80	84	60	82	97	75	60	62	75	63	72	56	53	81	81	75	0
10	Kevin Hayes	X	X	X		100.00	62	41	86	79	87	87	92	79	81	60	77	72	75	62	58	77	81	73	0
11	Cody Eakin	X				100.00	64	42	84	77	68	82	96	70	82	56	61	84	68	68	59	54	81	72	0
12	Nolan Patrick	X				100.00	63	42	78	79	79	82	89	80	81	58	64	60	70	52	51	93	76	72	0
13	Jaccob Slavin				X	100.00	62	41	92	72	79	91	97	75	30	62	58	91	69	59	60	57	81	76	0
14	Brian Dumoulin				X	100.00	70	42	89	77	82	86	97	71	30	54	55	87	68	59	60	61	81	75	0
15	Darnell Nurse				X	100.00	79	45	80	82	86	89	97	72	30	60	56	80	69	57	58	86	81	75	0
16	Ian Cole				X	100.00	72	45	75	67	79	80	83	75	30	59	57	86	67	66	60	67	81	74	0
17	Sami Vatanen				X	100.00	71	43	85	82	63	90	89	81	30	70	55	79	66	63	57	51	68	74	0
18	Thomas Chabot				X	100.00	63	42	84	79	74	77	90	84	30	85	76	69	70	52	51	83	81	73	0
Rayé
1	Valentin Zykov (R)			X		100.00	66	44	68	75	81	61	92	77	50	68	70	60	67	50	50	76	24	73	0
2	Marcus Foligno		X			100.00	84	45	68	71	87	77	93	69	67	56	58	70	66	66	60	52	24	68	0
3	Esa Lindell				X	100.00	68	42	89	70	81	90	96	76	30	60	57	79	68	56	55	64	56	73	0

	MOYENNE D'ÉQUIPE					100.00	66	43	82	80	76	85	92	77	58	66	67	72	70	64	59	67	73	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	Antti Raanta	96.00	84	88	88	79	91	95	94	92	96	82	81	60	72	36	80	84	0
2	Antti Niemi	100.00	76	73	85	86	79	83	83	80	81	74	74	83	80	23	81	78	0
Rayé
1	Alex Stalock	100.00	78	78	86	78	83	83	81	84	82	76	75	57	68	47	23	76	0

	MOYENNE D'ÉQUIPE	98.67	79	80	86	81	84	87	86	85	86	77	77	67	73	35	61	79

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Cassidy	69	92	93	86	77	62	66	CAN	52	4	4,000,000$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSS	S1	S2	S3
1	Clayton Keller	Flyers	C/LW/RW	8	6	4	10	2	2	9	4	31	6	11	19.35%	4	143	17.88	1	2	3	1	24	0	5	0	1	11.11%	9	6	3	0	1.40	0	0	1	2
2	Joe Thornton	Flyers	C	8	2	5	7	3	0	16	13	19	10	8	10.53%	3	137	17.25	0	1	1	1	24	0	0	0	0	45.63%	160	3	1	0	1.01	0	0	0	0
3	Jakub Voracek	Flyers	RW	8	4	1	5	-3	4	8	3	29	11	21	13.79%	1	155	19.49	1	0	1	5	28	0	0	0	0	45.45%	11	12	5	0	0.64	0	1	0	0
4	Alexander Steen	Flyers	C/LW/RW	8	1	3	4	2	2	6	4	33	8	18	3.03%	0	103	12.89	0	0	0	1	1	1	14	1	0	46.67%	15	2	1	0	0.78	0	0	0	0
5	Mika Zibanejad	Flyers	C	8	2	2	4	-3	6	13	11	17	5	8	11.76%	6	155	19.50	0	1	1	4	28	0	0	1	0	51.29%	232	3	2	0	0.51	0	0	0	1
6	Sebastian Aho	Flyers	C/LW	8	1	3	4	-3	8	13	5	37	12	37	2.70%	1	162	20.25	1	1	2	8	30	0	0	0	0	46.67%	15	7	3	0	0.49	1	0	0	0
7	Darnell Nurse	Flyers	D	8	0	3	3	-1	14	16	9	8	5	10	0.00%	12	184	23.09	0	0	0	0	20	0	10	0	0	0.00%	0	3	10	0	0.32	0	0	0	0
8	Jaccob Slavin	Flyers	D	8	0	3	3	-1	0	5	20	12	8	6	0.00%	12	220	27.59	0	0	0	0	20	0	26	0	0	0.00%	0	2	14	0	0.27	0	0	0	0
9	Nick Bonino	Flyers	C/LW	8	2	1	3	0	2	2	10	13	4	6	15.38%	7	87	10.95	0	0	0	0	0	0	24	1	0	50.00%	4	2	3	1	0.68	0	0	2	0
10	Brian Dumoulin	Flyers	D	8	0	2	2	1	0	7	21	9	5	2	0.00%	12	165	20.67	0	0	0	0	0	0	26	0	0	0.00%	0	1	9	0	0.24	0	0	0	0
11	Cody Eakin	Flyers	C	8	1	1	2	3	2	9	13	7	2	8	14.29%	2	108	13.52	0	0	0	0	0	3	24	1	0	50.59%	85	0	3	0	0.37	0	0	1	0
12	Ian Cole	Flyers	D	8	0	2	2	2	2	9	12	8	3	3	0.00%	10	109	13.74	0	0	0	0	0	0	14	0	0	0.00%	0	0	6	0	0.36	0	0	0	0
13	James van Riemsdyk	Flyers	LW	8	0	2	2	1	2	7	11	10	3	6	0.00%	0	132	16.56	0	1	1	0	22	0	2	0	0	33.33%	9	3	1	0	0.30	0	0	0	0
14	Kevin Hayes	Flyers	C/LW/RW	8	1	1	2	2	0	7	4	19	7	17	5.26%	1	96	12.00	0	0	0	0	0	0	9	0	0	50.00%	2	4	2	0	0.42	0	0	0	1
15	Nolan Patrick	Flyers	C	8	0	2	2	0	2	6	1	6	3	7	0.00%	0	56	7.04	0	0	0	0	0	0	0	0	0	53.33%	30	1	0	0	0.71	0	0	0	0
16	Sami Vatanen	Flyers	D	8	1	1	2	0	2	5	9	17	4	6	5.88%	11	126	15.81	1	0	1	6	34	0	0	0	0	0.00%	0	1	2	0	0.32	0	0	0	0
17	Thomas Chabot	Flyers	D	8	0	2	2	0	4	6	5	15	4	5	0.00%	13	154	19.25	0	2	2	1	34	1	3	0	0	0.00%	0	4	7	0	0.26	0	0	0	0
18	Travis Konecny	Flyers	LW/RW	8	1	1	2	0	0	6	0	17	1	3	5.88%	1	58	7.35	0	0	0	0	0	0	0	0	0	100.00%	2	3	1	0	0.68	0	0	0	0
Stats d'équipe Total ou en Moyenne				144	22	39	61	5	52	150	155	307	101	182	7.17%	96	2358	16.38	4	8	12	27	271	5	163	4	1	48.61%	574	57	73	1	0.52	1	1	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 Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	GA	SA	SAR	ST	BG	S1
1	Antti Raanta	Flyers	8	4	4	0.919	2.89	416	20	246	94	8	0	3
2	Antti Niemi	Flyers	2	0	0	0.891	4.76	63	5	46	20	0	8	0
Stats d'équipe Total ou en Moyenne			10	4	4	0.914	3.13	480	25	292	114	8	8	3

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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	Link
Alex Stalock	Flyers	G	30	1987-07-28	No	191 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	750,000$	750,000$	321,429$	No	Lien
Alexander Steen	Flyers	C/LW/RW	33	1984-03-01	No	211 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	5,750,000$	5,750,000$	2,464,286$	No	Lien
Antti Niemi	Flyers	G	34	1983-08-29	No	215 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	900,000$	900,000$	385,714$	No	Lien
Antti Raanta	Flyers	G	28	1989-05-12	No	195 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	4,250,000$	4,250,000$	1,821,429$	No	Lien
Brian Dumoulin	Flyers	D	26	1991-09-06	No	207 Lbs	6 ft4	No	No	No	5	Contrat d'Entrée	Pro & Farm	4,100,000$	4,100,000$	1,757,143$	No	Lien
Clayton Keller	Flyers	C/LW/RW	19	1998-07-29	No	170 Lbs	5 ft10	No	No	No	2	Contrat d'Entrée	Pro & Farm	885,833$	885,833$	379,643$	No	Lien
Cody Eakin	Flyers	C	26	1991-05-24	No	190 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	900,000$	900,000$	385,714$	No	Lien
Darnell Nurse	Flyers	D	22	1995-02-04	No	221 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	3,200,000$	3,200,000$	1,371,429$	No	Lien
Esa Lindell	Flyers	D	23	1994-05-23	No	213 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	2,200,000$	2,200,000$	942,857$	No	Lien
Ian Cole	Flyers	D	28	1989-02-21	No	219 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	4,250,000$	4,250,000$	1,821,429$	No	Lien
Jaccob Slavin	Flyers	D	23	1994-05-01	No	205 Lbs	6 ft3	No	No	No	7	Contrat d'Entrée	Pro & Farm	5,300,000$	5,300,000$	2,271,429$	No	Lien
Jakub Voracek	Flyers	RW	28	1989-08-15	No	214 Lbs	6 ft2	No	No	No	6	Sans Restriction	Pro & Farm	8,250,000$	8,250,000$	3,535,714$	No	Lien
James van Riemsdyk	Flyers	LW	28	1989-05-04	No	217 Lbs	6 ft3	No	No	No	5	Sans Restriction	Pro & Farm	7,000,000$	7,000,000$	3,000,000$	No	Lien
Joe Thornton	Flyers	C	38	1979-07-02	No	220 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	2,571,429$	No	Lien
Kevin Hayes	Flyers	C/LW/RW	25	1992-05-08	No	217 Lbs	6 ft5	No	No	No	1	Contrat d'Entrée	Pro & Farm	5,175,000$	5,175,000$	2,217,857$	No	Lien
Marcus Foligno	Flyers	LW	26	1991-08-10	No	232 Lbs	6 ft3	No	No	No	3	Contrat d'Entrée	Pro & Farm	2,875,000$	2,875,000$	1,232,143$	No	Lien
Mika Zibanejad	Flyers	C	24	1993-04-18	No	227 Lbs	6 ft2	No	No	No	4	Contrat d'Entrée	Pro & Farm	5,350,000$	5,350,000$	2,292,857$	No	Lien
Nick Bonino	Flyers	C/LW	29	1988-04-20	No	196 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	4,100,000$	4,100,000$	1,757,143$	No	Lien
Nolan Patrick	Flyers	C	19	1998-09-19	No	198 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	396,429$	No	Lien
Sami Vatanen	Flyers	D	26	1991-06-03	No	185 Lbs	5 ft10	No	No	No	2	Contrat d'Entrée	Pro & Farm	4,875,000$	4,875,000$	2,089,286$	No	Lien
Sebastian Aho	Flyers	C/LW	20	1997-07-26	No	172 Lbs	5 ft11	No	No	No	1	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	396,429$	No	Lien
Thomas Chabot	Flyers	D	20	1997-01-30	No	196 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	863,333$	863,333$	370,000$	No	Lien
Travis Konecny	Flyers	LW/RW	20	1997-03-11	No	175 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	894,166$	894,166$	383,214$	No	Lien
Valentin Zykov	Flyers	RW	22	1995-05-15	Yes	224 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	321,429$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	25.71	205 Lbs	6 ft1	2.50	3,352,847$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
80,468,332$	61,974,166$	47,125,000$	30,000,000$	24,650,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sebastian Aho	Mika Zibanejad	Jakub Voracek	40	0	2	3
2	James van Riemsdyk	Joe Thornton	Clayton Keller	30	0	2	3
3	Kevin Hayes	Cody Eakin	Alexander Steen	20	1	2	2
4	Nick Bonino	Nolan Patrick	Travis Konecny	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jaccob Slavin	Darnell Nurse	40	0	2	3
2	Brian Dumoulin	Thomas Chabot	30	1	2	2
3	Ian Cole	Sami Vatanen	20	1	2	2
4	Jaccob Slavin	Brian Dumoulin	10	1	1	3

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sebastian Aho	Mika Zibanejad	Jakub Voracek	60	0	0	5
2	James van Riemsdyk	Joe Thornton	Clayton Keller	40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Thomas Chabot	Sami Vatanen	60	0	0	5
2	Darnell Nurse	Jaccob Slavin	40	0	0	5

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Cody Eakin	Nick Bonino	60	1	4	0
2	Alexander Steen	Kevin Hayes	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jaccob Slavin	Brian Dumoulin	60	1	4	0
2	Darnell Nurse	Ian Cole	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Cody Eakin	60	1	2	2	Jaccob Slavin	Brian Dumoulin	60	1	4	0
2	Nick Bonino	40	1	2	2	Darnell Nurse	Ian Cole	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sebastian Aho	Jakub Voracek	60	1	0	4
2	Mika Zibanejad	Clayton Keller	40	1	0	4

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jaccob Slavin	Thomas Chabot	60	1	1	3
2	Darnell Nurse	Brian Dumoulin	40	1	1	3

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sebastian Aho	Mika Zibanejad	Jakub Voracek	Jaccob Slavin	Brian Dumoulin

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Nick Bonino	Cody Eakin	Alexander Steen	Jaccob Slavin	Brian Dumoulin

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mika Zibanejad, James van Riemsdyk, Travis Konecny	Mika Zibanejad, James van Riemsdyk	Alexander Steen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ian Cole, Thomas Chabot, Darnell Nurse	Ian Cole	Thomas Chabot, Darnell Nurse

Tirs de Pénalité
James van Riemsdyk, Sebastian Aho, Mika Zibanejad, Clayton Keller, Joe Thornton

Gardien
#1 : Antti Raanta, #2 : Antti Niemi

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	Canadiens	7	4	3	0	0	0	0	0	21	22	-1	4	3	1	0	0	0	0	0	14	10	4	3	1	2	0	0	0	0	0	7	12	-5	8	0.571	21	37	58	0	0	5	8	8	0	265	70	96	99	0	255	81	44	131	31	4	12.90%	23	7	69.57%	0	116	241	48.13%	110	224	49.11%	53	109	48.62%	152	90	148	62	118	60
2	Senateurs	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	1	0	0	0	42	15	19	8	0	37	15	8	19	1	0	0.00%	4	1	75.00%	0	116	241	48.13%	110	224	49.11%	53	109	48.62%	21	13	23	7	15	7
	Total	8	4	4	0	0	0	0	0	22	25	-3	4	3	1	0	0	0	0	0	14	10	4	4	1	3	0	0	0	0	0	8	15	-7	8	0.500	22	39	61	0	0	6	8	8	0	307	85	115	107	0	292	96	52	150	32	4	12.50%	27	8	70.37%	0	116	241	48.13%	110	224	49.11%	53	109	48.62%	173	103	172	69	134	67
	_Since Last GM Reset	8	4	4	0	0	0	0	0	22	25	-3	4	3	1	0	0	0	0	0	14	10	4	4	1	3	0	0	0	0	0	8	15	-7	8	0.500	22	39	61	0	0	6	8	8	0	307	85	115	107	0	292	96	52	150	32	4	12.50%	27	8	70.37%	0	116	241	48.13%	110	224	49.11%	53	109	48.62%	173	103	172	69	134	67
	_Vs Conference	8	4	4	0	0	0	0	0	22	25	-3	4	3	1	0	0	0	0	0	14	10	4	4	1	3	0	0	0	0	0	8	15	-7	8	0.500	22	39	61	0	0	6	8	8	0	307	85	115	107	0	292	96	52	150	32	4	12.50%	27	8	70.37%	0	116	241	48.13%	110	224	49.11%	53	109	48.62%	173	103	172	69	134	67

			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
8	8	L1	22	39	61	307	292	96	52	150	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	4	4	0	0	0	0	22	25

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	14	10

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	8	15

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	4	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
32	4	12.50%	27	8	70.37%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
85	115	107	0	6	8	8	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
116	241	48.13%	110	224	49.11%	53	109	48.62%

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
173	103	172	69	134	67

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	Lien
1 - 2018-10-09	4	Canadiens	1	Flyers	3	W	Sommaire du Match
3 - 2018-10-11	12	Canadiens	2	Flyers	6	W	Sommaire du Match
5 - 2018-10-13	20	Flyers	3	Canadiens	1	W	Sommaire du Match
7 - 2018-10-15	28	Flyers	2	Canadiens	8	L	Sommaire du Match
9 - 2018-10-17	36	Canadiens	6	Flyers	3	L	Sommaire du Match
11 - 2018-10-19	44	Flyers	2	Canadiens	3	L	Sommaire du Match
13 - 2018-10-21	52	Canadiens	1	Flyers	2	W	Sommaire du Match
15 - 2018-10-23	57	Flyers	1	Senateurs	3	L	Sommaire du Match
17 - 2018-10-25	61	Flyers	-	Senateurs	-
19 - 2018-10-27	65	Senateurs	-	Flyers	-
21 - 2018-10-29	69	Senateurs	-	Flyers	-
23 - 2018-10-31	73	Flyers	-	Senateurs	-
25 - 2018-11-02	77	Senateurs	-	Flyers	-
27 - 2018-11-04	81	Flyers	-	Senateurs	-

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	160	100	75	50	300
Assistance	15,706	13,219	4,342	9,638	2,732
Attendance PCT	65.44%	66.10%	54.28%	60.24%	68.30%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
37	11409 - 63.38%	1,857,083$	7,428,333$	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
0$	80,468,332$	79,899,582$	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
0$	0$	0$	24	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	12	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	-9,200,733$	-9,200,733$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Sebastian Aho	AGE:20	PO:76	OV:81
Clayton Keller	AGE:19	PO:89	OV:80
James van Riemsdyk	AGE:28	PO:73	OV:78
Alexander Steen	AGE:33	PO:43	OV:77
Travis Konecny	AGE:20	PO:81	OV:75
Nick Bonino	AGE:29	PO:39	OV:75
Kevin Hayes	AGE:25	PO:77	OV:73
Marcus Foligno	AGE:26	PO:52	OV:68
Jordan Weal	AGE:25	PO:63	OV:67

Joe Thornton	AGE:38	PO:36	OV:84
Sebastian Aho	AGE:20	PO:76	OV:81
Clayton Keller	AGE:19	PO:89	OV:80
Mika Zibanejad	AGE:24	PO:85	OV:79
Alexander Steen	AGE:33	PO:43	OV:77
Nick Bonino	AGE:29	PO:39	OV:75
Kevin Hayes	AGE:25	PO:77	OV:73
Nolan Patrick	AGE:19	PO:93	OV:72
Cody Eakin	AGE:26	PO:54	OV:72
Jordan Weal	AGE:25	PO:63	OV:67

Jakub Voracek	AGE:28	PO:70	OV:87
Clayton Keller	AGE:19	PO:89	OV:80
Alexander Steen	AGE:33	PO:43	OV:77
Travis Konecny	AGE:20	PO:81	OV:75
Kevin Hayes	AGE:25	PO:77	OV:73
*Valentin Zykov	AGE:22	PO:76	OV:73
Jordan Weal	AGE:25	PO:63	OV:67

Défense #1

Défense #2

Gardien

Jaccob Slavin	AGE:23	PO:57	OV:76
Darnell Nurse	AGE:22	PO:86	OV:75
Brian Dumoulin	AGE:26	PO:61	OV:75
Ian Cole	AGE:28	PO:67	OV:74
Sami Vatanen	AGE:26	PO:51	OV:74

Thomas Chabot	AGE:20	PO:83	OV:73
Esa Lindell	AGE:23	PO:64	OV:73
Troy Stecher	AGE:23	PO:43	OV:69
Jordan Schmaltz	AGE:23	PO:78	OV:60
*Philippe Myers	AGE:20	PO:44	OV:60

Antti Raanta	AGE:28	PO:36	OV:84
Antti Niemi	AGE:34	PO:23	OV:78
Alex Stalock	AGE:30	PO:47	OV:76

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
Adam Ruzicka	Flyers	2018	109
Benoit-Olivier Groulx	Flyers	2018	37
Elias Petersson	Flyers	2017	5
Filip Johansson	Flyers	2018	47
Glen Gawdin	Flyers
Hudson Elynuik	Flyers	2018	107
Ilya Samsonov	Flyers	2015	22
Jack Studnicka	Flyers	2018	61
Joe Veleno	Flyers	2018	18
Maksim Sushko	Flyers	2018	95
Maksim Zhukov	Flyers	2018	83
Morgan Frost	Flyers	2017	27
Quinn Hughues	Flyers	2018	10
Ryan Merkley	Flyers	2018	35
Tye Smith	Flyers	2018	15
Tyler Benson	Flyers	2018	71
Vitaly Abramov	Flyers	2016	65

Choix au Repêchage

Année	R1	R2	R3	R4	R5
3	PHI FLA	PHI NHS ANA	PHI ANA	PHI ANA DAL	PHI ANA DAL
4	PHI EDM	PHI FLA	PHI	PHI	PHI
5	PHI	PHI	PHI	PHI	PHI
6	PHI	PHI	PHI	PHI	PHI
7	PHI	PHI	PHI	PHI	PHI

[2019-02-12 10:43:27] - TRADE : From Sharks to Flyers : Jakub Voracek (86).
[2019-02-12 10:43:27] - TRADE : From Flyers to Sharks : Kyle Okposo (77), Antoine Morand (P), Cayden Primeau (P), Y:3-RND:1-ANA, Y:3-RND:3-DAL.
[2018-11-21 21:48:09] - New Record for Team's Most Points (24) in 1 Game for Flyers!
[2018-11-21 21:48:09] - New Record for Team's Most Assists (16) in 1 Game for Flyers!
[2018-11-21 21:48:09] - New Record for Team's Most Points (24) in 1 Game for Flyers!
[2018-11-21 21:48:09] - New Record for Team's Most Assists (16) in 1 Game for Flyers!
[2018-11-16 22:19:02] - New Record for Team's Most Hits (31) in 1 Game for Flyers!
[2018-10-28 00:36:55] - New Record for Team's Most Points (23) in 1 Game for Flyers!
[2018-10-28 00:36:55] - New Record for Team's Most Assists (15) in 1 Game for Flyers!
[2018-10-28 00:36:55] - New Record for Team's Most Goals (8) in 1 Game for Flyers!
[2018-10-16 22:00:19] - TRADE : From Penguins to Flyers : James van Riemsdyk (78), Alex Stalock (77).
[2018-10-16 22:00:19] - TRADE : From Flyers to Penguins : Brandon Saad (71), Michal Neuvirth (78), Y:3-RND:2-DAL.
[2018-10-03 20:42:40] - Cody Eakin was added to Flyers.
[2018-10-03 20:42:22] - Antti Niemi was added to Flyers.
[2018-10-01 23:41:34] - Nick Bonino was added to Flyers.
[2018-10-01 23:41:26] - Joe Thornton was added to Flyers.
[2018-09-24 22:25:17] - TRADE : From Stars to Flyers : Clayton Keller (79).
[2018-09-24 22:25:17] - TRADE : From Flyers to Stars : Cale Makar (P), Jake Bean (P).
[2018-09-23 19:32:02] - TRADE : From Flyers to Penguins : John Carlson (80).
[2018-09-23 19:32:02] - TRADE : From Penguins to Flyers : Darnell Nurse (75), Y:4-RND:1-EDM, Y:3-RND:2-NHS.
[2018-09-10 13:05:23] - Troy Brouwer was released.
[2018-09-10 13:05:23] - Flyers paid 0 $ to release Troy Brouwer.
[2018-09-10 13:05:18] - Shawn Matthias was released.
[2018-09-10 13:05:18] - Flyers paid 0 $ to release Shawn Matthias.
[2018-09-10 13:05:07] - Jori Lehtera was released.
[2018-09-10 13:05:07] - Flyers paid 0 $ to release Jori Lehtera.
[2018-09-10 13:05:02] - Chris Kunitz was released.
[2018-09-10 13:05:02] - Flyers paid 0 $ to release Chris Kunitz.
[2018-09-10 13:04:23] - Jeff Glass was released.
[2018-09-10 13:04:23] - Flyers paid 0 $ to release Jeff Glass.
[2018-09-10 13:04:19] - Jared Boll was released.
[2018-09-10 13:04:19] - Flyers paid 0 $ to release Jared Boll.
[2018-09-10 13:04:14] - Ales Hemsky was released.
[2018-09-10 13:04:14] - Flyers paid 0 $ to release Ales Hemsky.
[2018-09-08 20:46:10] - TRADE : From Stars to Flyers : John Carlson (80), Y:3-RND:1-FLA, Y:4-RND:2-FLA.
[2018-09-08 20:46:10] - TRADE : From Flyers to Stars : Brandon Carlo (73), Ryan Kesler (74), Y:3-RND:1-DAL.
[2018-08-29 21:33:01] - Valentin Zykov was added to Flyers.
[2018-08-29 21:31:09] - Philippe Myers was added to Flyers.
[2018-08-29 20:48:40] - Cayden Primeau has been added to Flyers.
[2018-08-29 20:47:46] - Adam Ruzicka has been added to Flyers.
[2018-08-29 20:47:11] - Hudson Elynuik has been added to Flyers.
[2018-08-29 20:35:42] - Maksim Sushko has been added to Flyers.
[2018-08-29 20:35:19] - Antoine Morand has been added to Flyers.
[2018-08-29 20:34:59] - Maksim Zhukov has been added to Flyers.
[2018-08-29 20:21:46] - Tyler Benson has been added to Flyers.
[2018-08-29 20:21:10] - Jack Studnicka has been added to Flyers.
[2018-08-29 20:20:43] - Phillippe Myers has been added to Flyers.
[2018-08-19 21:51:03] - Filip Johansson has been added to Flyers.
[2018-08-19 21:50:31] - Benoit-Olivier Groulx has been added to Flyers.
[2018-08-19 21:49:50] - Ryan Merkley has been added to Flyers.
[2018-08-19 21:34:53] - Joe Veleno has been added to Flyers.
[2018-08-19 21:34:37] - Tye Smith has been added to Flyers.
[2018-08-19 21:31:44] - Quinn Hughues has been added to Flyers.

[2019-04-23 20:57:44] Current fund for Flyers is under 0 $.
[2019-04-23 20:50:33] Current fund for Flyers is under 0 $.
[2019-04-23 20:50:32] Successfully loaded Flyers lines done with STHS Client - 3.1.7.7
[2019-04-23 20:50:26] Current fund for Flyers is under 0 $.
[2019-04-22 21:37:39] Current fund for Flyers is under 0 $.
[2019-04-19 21:22:51] Current fund for Flyers is under 0 $.
[2019-04-18 17:50:49] Current fund for Flyers is under 0 $.
[2019-04-18 17:50:47] Successfully loaded Flyers lines done with STHS Client - 3.1.7.7
[2019-04-18 17:50:40] Current fund for Flyers is under 0 $.
[2019-04-17 21:21:26] Current fund for Flyers is under 0 $.
[2019-04-15 20:55:38] Current fund for Flyers is under 0 $.
[2019-04-12 21:59:56] Current fund for Flyers is under 0 $.
[2019-04-12 21:59:13] Last 7 Days Pro Star : 1 - Tuukka Rask of Ducks (0,969) / 2 - Carey Price of Senateurs (0,942) / 3 - Antti Raanta of Flyers (0,932)
[2019-04-11 21:28:47] Current fund for Flyers is under 0 $.
[2019-04-10 21:17:09] Current fund for Flyers is under 0 $.
[2019-04-08 21:59:24] Current fund for Flyers is under 0 $.
[2019-04-05 21:01:56] Current fund for Flyers is under 0 $.
[2019-04-04 21:37:35] Current fund for Flyers is under 0 $.
[2019-04-04 18:57:42] Current fund for Flyers is under 0 $.
[2019-04-04 18:57:41] Successfully loaded Flyers lines done with STHS Client - 3.1.7.7
[2019-04-04 18:57:34] Current fund for Flyers is under 0 $.
[2019-04-03 21:21:52] Current fund for Flyers is under 0 $.
[2019-04-03 21:20:41] Current fund for Flyers is under 0 $.
[2019-04-03 21:04:00] Current fund for Flyers is under 0 $.
[2019-04-03 20:53:27] Jordan Weal from Phantoms has scored a Hat Trick!
[2019-04-02 21:08:13] Current fund for Flyers is under 0 $.
[2019-04-01 21:50:38] Current fund for Flyers is under 0 $.
[2019-03-29 21:28:28] Current fund for Flyers is under 0 $.
[2019-03-28 21:05:21] Current fund for Flyers is under 0 $.
[2019-03-27 20:24:55] Current fund for Flyers is under 0 $.
[2019-03-26 21:06:02] Current fund for Flyers is under 0 $.
[2019-03-25 21:22:55] Current fund for Flyers is under 0 $.
[2019-03-22 20:24:11] Current fund for Flyers is under 0 $.
[2019-03-21 19:54:20] Current fund for Flyers is under 0 $.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison Régulière
2	82	37	26	0	3	3	4	9	244	203	41	41	22	11	0	1	2	2	3	129	97	32	41	15	15	0	2	1	2	6	115	106	9	74	244	406	650	3	0	65	95	77	13	2926	985	977	954	54	2804	932	631	1528	353	71	20.11%	312	55	82.37%	4	1161	2263	51.30%	1105	2198	50.27%	569	1113	51.12%	1757	1022	1810	760	1423	692
Total Saison Régulière	82	37	26	0	3	3	4	9	244	203	41	41	22	11	0	1	2	2	3	129	97	32	41	15	15	0	2	1	2	6	115	106	9	74	244	406	650	3	0	65	95	77	13	2926	985	977	954	54	2804	932	631	1528	353	71	20.11%	312	55	82.37%	4	1161	2263	51.30%	1105	2198	50.27%	569	1113	51.12%	1757	1022	1810	760	1423	692
2	8	4	4	0	0	0	0	0	22	25	-3	4	3	1	0	0	0	0	0	14	10	4	4	1	3	0	0	0	0	0	8	15	-7	8	22	39	61	0	0	6	8	8	0	307	85	115	107	0	292	96	52	150	32	4	12.50%	27	8	70.37%	0	116	241	48.13%	110	224	49.11%	53	109	48.62%	173	103	172	69	134	67
Total Séries	8	4	4	0	0	0	0	0	22	25	-3	4	3	1	0	0	0	0	0	14	10	4	4	1	3	0	0	0	0	0	8	15	-7	8	22	39	61	0	0	6	8	8	0	307	85	115	107	0	292	96	52	150	32	4	12.50%	27	8	70.37%	0	116	241	48.13%	110	224	49.11%	53	109	48.62%	173	103	172	69	134	67