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Stats d'équipe en Carrière

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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	Jamie Benn (A)	X	X			100.00	68	47	88	86	88	92	96	90	78	57	56	70	72	85	99	0	92	76	0
2	Brad Marchand (A)		X			100.00	61	32	85	88	85	91	96	92	52	56	61	74	74	83	83	0	93	75	0
3	David Backes	X		X		100.00	88	48	86	76	85	89	94	84	74	47	49	66	62	94	94	0	93	73	0
4	Artem Anisimov	X				100.00	58	33	94	78	83	87	85	87	82	49	54	68	64	84	84	0	86	71	0
5	James van Riemsdyk		X			100.00	63	36	93	81	86	84	92	87	50	51	55	61	61	83	83	0	91	71	0
6	Valtteri Filppula	X	X			100.00	57	30	94	74	80	88	96	81	84	49	45	72	62	94	94	0	96	70	0
7	Josh Bailey	X	X	X		100.00	59	30	97	77	84	89	98	86	59	54	46	64	61	87	87	0	93	70	0
8	Adam Lowry	X				100.00	81	47	91	70	79	84	97	80	83	43	46	75	58	70	70	0	93	69	0
9	Matthew Tkachuk (R)		X			100.00	63	45	81	77	84	80	94	88	53	53	46	60	59	58	58	0	92	66	0
10	Dylan Larkin (R)	X	X			100.00	62	34	93	74	79	86	97	82	69	45	49	61	59	64	64	0	93	66	0
11	Riley Sheahan	X				100.00	65	30	97	67	79	79	96	73	77	43	40	66	62	73	73	0	93	65	0
12	Steve Ott	X	X	X		100.00	78	68	79	63	71	72	72	72	75	39	39	71	57	95	95	0	91	64	0
13	Drew Miller		X	X		100.00	67	30	94	67	72	72	68	74	62	38	41	71	57	84	84	0	92	63	0
14	Ryan Suter (C)				X	100.00	71	30	93	83	86	94	99	89	34	51	44	81	60	98	99	0	93	77	0
15	Zach Werenski (R)				X	100.00	67	30	97	88	90	88	95	88	30	52	45	75	61	58	58	0	93	73	0
16	Tobias Enstrom				X	100.00	65	30	90	72	76	89	82	81	34	44	38	79	57	89	89	0	85	70	0
17	Luca Sbisa				X	100.00	78	43	92	70	77	85	91	72	34	42	39	79	57	81	81	0	84	69	0
18	Kevan Miller				X	100.00	80	55	89	74	81	85	80	80	33	43	40	77	58	68	68	0	93	69	0
19	Olli Maatta				X	100.00	74	30	96	71	79	86	79	78	32	41	39	79	57	69	69	0	92	68	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	69	38	91	76	81	85	90	82	58	47	46	71	61	80	81	0	91	70

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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	Sergei Bobrovsky	100.00	79	95	98	87	80	82	82	82	82	80	82	83	83	0	93	83	0
2	Carter Hutton	100.00	71	96	75	83	73	71	71	72	71	70	78	74	74	0	93	74	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	75	96	87	85	77	77	77	77	77	75	80	79	79	0	93	79

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Paul Maurice	74	74	93	85	91	87	70	CAN	50	3	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	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Jamie Benn	Flyers	C/LW	23	15	17	32	7	4	0	24	90	37	55	16.67%	9	20.:.02	5	4	9	0	0	0	9	5	2	47.95%	415	71	9	0	1	1.39	0	0
2	Brad Marchand	Flyers	LW	23	15	13	28	6	16	0	25	76	29	49	19.74%	16	21.:.54	3	5	8	0	0	0	50	4	1	34.78%	23	80	13	0	2	1.11	0	0
3	Artem Anisimov	Flyers	C	23	5	7	12	1	6	0	16	46	29	44	10.87%	8	15.:.17	2	2	4	0	0	0	0	1	1	49.57%	232	37	5	0	0	0.68	0	0
4	James van Riemsdyk	Flyers	LW	23	6	6	12	-3	8	0	23	77	27	54	7.79%	8	18.:.02	2	3	5	0	0	0	0	1	1	23.08%	13	47	0	0	0	0.58	0	0
5	Zach Werenski	Flyers	D	23	4	6	10	-10	0	0	23	55	17	20	7.27%	45	26.:.35	0	2	2	0	0	0	56	2	0	0.00%	0	12	38	0	0	0.33	0	0
6	Ryan Suter	Flyers	D	23	2	8	10	-11	6	0	49	37	26	24	5.41%	39	26.:.29	0	3	3	0	0	0	49	0	1	0.00%	0	7	36	0	0	0.33	1	1
7	David Backes	Flyers	C/RW	23	4	6	10	7	6	0	61	21	4	20	19.05%	5	19.:.25	2	4	6	0	0	0	0	0	0	52.63%	19	9	5	0	0	0.45	0	0
8	Josh Bailey	Flyers	C/LW/RW	23	3	5	8	-3	2	0	29	49	18	32	6.12%	7	18.:.08	1	1	2	0	0	0	0	1	1	30.00%	10	29	5	0	0	0.38	0	0
9	Dylan Larkin	Flyers	C/LW	23	3	4	7	3	8	0	20	51	22	40	5.88%	1	14.:.03	0	0	0	0	0	0	3	1	0	83.33%	6	30	1	0	0	0.43	0	0
10	Valtteri Filppula	Flyers	C/LW	23	3	4	7	-1	2	0	21	34	8	17	8.82%	9	17.:.05	0	0	0	0	0	0	9	1	0	51.75%	257	23	8	0	0	0.36	0	0
11	Tobias Enstrom	Flyers	D	23	0	6	6	7	2	0	12	22	9	17	0.00%	36	17.:.18	0	0	0	0	0	0	6	0	0	0.00%	0	3	21	0	0	0.30	0	0
12	Kevan Miller	Flyers	D	23	1	5	6	8	8	0	48	29	16	17	3.45%	35	21.:.55	0	2	2	0	0	0	20	0	0	0.00%	0	6	30	0	0	0.24	0	0
13	Matthew Tkachuk	Flyers	LW	23	2	3	5	-1	6	0	10	33	9	30	6.06%	4	09.:.48	0	0	0	0	0	0	11	0	0	0.00%	6	47	3	0	0	0.44	0	0
14	Olli Maatta	Flyers	D	23	0	4	4	8	0	0	28	29	12	7	0.00%	23	16.:.20	0	0	0	0	0	0	1	0	0	0.00%	0	2	17	0	0	0.21	0	0
15	Luca Sbisa	Flyers	D	19	0	4	4	8	2	0	20	22	14	14	0.00%	39	20.:.43	0	0	0	0	0	0	20	0	0	0.00%	0	3	21	0	0	0.20	0	0
16	Adam Lowry	Flyers	C	23	2	2	4	0	0	0	20	27	8	20	7.41%	6	11.:.55	0	0	0	0	0	0	60	0	0	51.67%	180	12	3	0	0	0.29	0	0
17	Steve Ott	Flyers	C/LW/RW	23	0	2	2	0	8	0	28	10	2	6	0.00%	4	08.:.46	0	0	0	0	0	0	0	0	0	40.00%	5	2	7	0	0	0.20	0	0
18	Drew Miller	Flyers	LW/RW	23	0	1	1	2	2	0	29	25	9	12	0.00%	4	14.:.32	0	0	0	0	0	0	8	0	0	50.00%	12	0	9	0	0	0.06	0	0
19	Alex Grant	Phantoms (PHI)	D	4	0	1	1	1	0	0	9	4	1	3	0.00%	1	15.:.12	0	0	0	0	0	0	0	0	0	0.00%	0	0	4	0	0	0.33	0	0
Stats d'équipe Total ou en Moyenne			414	65	104	169	29	86	0	495	533	737	297	481	8.82%	299	7301	17.64	15	26	41	61	302	0	0	0	7	308	16	7	48.98%	1178	420	235	0	3	0.46	1	1	0	0	0	10	13	13

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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	GA	SA	SAR	A	PS %	ST	BG	S1	S2	S3
1	Sergei Bobrovsky	Flyers	21	15	2	3	93.8%	1.87	1314	41	663	369	3	0.0%	20	3	4	4	2
2	Carter Hutton	Flyers	3	1	2	0	87.6%	4.13	160	11	89	45	0	0.0%	3	20	0	0	0
Stats d'équipe Total ou en Moyenne			24	16	4	3	0.931	2.12	1474	52	752	414	3	0.000	23	23	4	4	2

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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	CONT	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4
Adam Lowry	Flyers	C	25	29.03.1993 15:04:15	No	210 Lbs	6 ft5	No	No	No	2	Avec Restriction	Pro Only	1,300,000$	1,300,000$
Artem Anisimov	Flyers	C	29	24.05.1988	No	198 Lbs	6 ft4	No	No	No	3	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	2,500,000$
Brad Marchand	Flyers	LW	30	11.05.1988	No	181 Lbs	5 ft9	No	No	No	1	Sans Restriction	Pro & Farm	4,200,000$
Carter Hutton	Flyers	LW	32	19.12.1985	No	195 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro Only	1,100,000$
David Backes	Flyers	C/RW	34	01.05.1984	No	221 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	5,200,000$	5,200,000$
Drew Miller	Flyers	LW/RW	34	17.02.1984	No	183 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro Only	600,000$
Dylan Larkin	Flyers	C/LW	21	30.07.1996 16:58:28	Yes	190 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro Only	1,700,000$	1,700,000$
James van Riemsdyk	Flyers	LW	29	04.05.1989	No	210 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	4,600,000$	4,600,000$
Jamie Benn	Flyers	C/LW	28	18.07.1989	No	210 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	8,500,000$	8,500,000$	8,500,000$
Josh Bailey	Flyers	C/LW/RW	28	02.10.1989 9:39:25	No	210 Lbs	6 ft1	No	No	No	4	Sans Restriction	Pro & Farm	2,300,000$	5,300,000$	5,300,000$	5,300,000$
Kevan Miller	Flyers	D	30	15.11.1987	No	210 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro Only	2,100,000$	2,100,000$	2,100,000$
Luca Sbisa	Flyers	D	28	30.01.1990	No	209 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	1,800,000$
Matthew Tkachuk (Contrat à 1 Volet)	Flyers	LW	20	11.12.1997 23:23:43	Yes	202 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	1,600,000$	1,600,000$	1,600,000$
Olli Maatta	Flyers	D	23	22.08.1994 1:17:43	No	206 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro Only	3,600,000$	3,600,000$
Riley Sheahan	Flyers	C	26	07.12.1991 1:47:38	No	226 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	2,100,000$	2,100,000$
Ryan Suter	Flyers	D	33	21.01.1985	No	206 Lbs	6 ft2	No	No	No	4	Sans Restriction	Pro & Farm	7,200,000$	7,200,000$	7,200,000$	7,200,000$
Sergei Bobrovsky	Flyers	LW/RW	29	20.09.1988	No	182 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro Only	5,000,000$	5,000,000$
Steve Ott	Flyers	C/LW/RW	35	19.08.1982	No	193 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro Only	600,000$
Tobias Enstrom	Flyers	D	33	05.11.1984	No	180 Lbs	5 ft10	No	No	No	2	Sans Restriction	Pro & Farm	4,500,000$	4,500,000$
Valtteri Filppula	Flyers	C/LW	34	20.03.1984	No	196 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	3,800,000$
Zach Werenski (Contrat à 1 Volet)	Flyers	D	20	19.07.1997 23:19:35	Yes	218 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	1,700,000$	1,700,000$	1,700,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	28.62	202 Lbs	6 ft2	2.14	3,142,857$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
66,000,000$	56,900,000$	28,900,000$	12,500,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brad Marchand	Jamie Benn	David Backes	40	1	0	4
2	James van Riemsdyk	Artem Anisimov	Josh Bailey	30	1	1	3
3	Dylan Larkin	Valtteri Filppula	Drew Miller	20	1	2	2
4	Matthew Tkachuk	Adam Lowry	Steve Ott	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Zach Werenski	45	0	2	3
2	Kevan Miller	Tobias Enstrom	33	1	2	2
3	Olli Maatta	Luca Sbisa	22	1	2	2
4	Ryan Suter	Zach Werenski	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Brad Marchand	Jamie Benn	David Backes	60	0	0	5
2	James van Riemsdyk	Artem Anisimov	Josh Bailey	40	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Zach Werenski	60	0	2	3
2	Kevan Miller	Tobias Enstrom	40	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Adam Lowry	Brad Marchand	60	1	3	1
2	Jamie Benn	Valtteri Filppula	40	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Zach Werenski	60	0	5	0
2	Kevan Miller	Tobias Enstrom	40	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Brad Marchand	60	0	4	1	Ryan Suter	Zach Werenski	60	0	5	0
2	Adam Lowry	40	0	4	1	Kevan Miller	Tobias Enstrom	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jamie Benn	Brad Marchand	60	1	1	3
2	David Backes	James van Riemsdyk	40	1	1	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Zach Werenski	60	0	2	3
2	Kevan Miller	Tobias Enstrom	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brad Marchand	Jamie Benn	David Backes	Ryan Suter	Zach Werenski

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Brad Marchand	Adam Lowry	Josh Bailey	Ryan Suter	Zach Werenski

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Adam Lowry, Dylan Larkin, Matthew Tkachuk	Adam Lowry, Dylan Larkin	Matthew Tkachuk

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan Suter, Zach Werenski, Tobias Enstrom	Olli Maatta	Ryan Suter, Kevan Miller

Tirs de Pénalité
Jamie Benn, Brad Marchand, David Backes, Josh Bailey, Valtteri Filppula

Gardien
#1 : Sergei Bobrovsky, #2 : Carter Hutton

Lignes d'Attaque Perso. en Prol.
Jamie Benn, Brad Marchand, David Backes, Josh Bailey, Valtteri Filppula, Adam Lowry, Adam Lowry, Dylan Larkin, Steve Ott, Matthew Tkachuk, Riley Sheahan

Lignes de Défense Perso. en Prol.
Ryan Suter, Zach Werenski, Kevan Miller, Tobias Enstrom, Olli Maatta

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

#	VS Équipe	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Blues	6	4	2	14	10	4	8	0.667	14	24	38	10	2	2	0	189	63	51	71	4	174	73	20	132	4	1	25.00%	10	2	80.00%	205	425	48.24%	228	470	48.51%	144	283	50.88%	141	95	132	45	90	45
2	Capitals	5	4	1	14	7	7	8	0.800	14	23	37	6	4	2	2	151	52	43	43	13	165	70	20	108	11	4	36.36%	10	2	80.00%	205	425	48.24%	228	470	48.51%	144	283	50.88%	116	76	130	43	82	40
3	Lightning	5	4	1	13	11	2	8	0.800	13	19	32	6	4	2	1	157	39	53	62	3	163	50	18	104	7	3	42.86%	10	0	100.00%	205	425	48.24%	228	470	48.51%	144	283	50.88%	110	72	120	40	79	39
4	Sabres	7	4	3	24	24	0	8	0.571	24	38	62	7	8	8	1	240	55	68	88	29	250	106	28	151	18	7	38.89%	14	4	71.43%	205	425	48.24%	228	470	48.51%	144	283	50.88%	181	123	176	57	113	55
	Since Last GM Reset	23	16	7	65	52	13	32	0.696	65	104	169	29	18	14	4	737	209	215	264	49	752	299	86	495	40	15	37.50%	44	8	81.82%	205	425	48.24%	228	470	48.51%	144	283	50.88%	550	368	559	187	366	180
	Total	23	16	7	65	52	13	32	0.696	65	104	169	29	18	14	4	737	209	215	264	49	752	299	86	495	40	15	37.50%	44	8	81.82%	205	425	48.24%	228	470	48.51%	144	283	50.88%	550	368	559	187	366	180
	Vs Conference	17	12	5	51	42	9	24	0.706	51	80	131	19	16	12	4	548	146	164	193	45	578	226	66	363	36	14	38.89%	34	6	82.35%	205	425	48.24%	228	470	48.51%	144	283	50.88%	408	272	426	141	275	134
	Vs Division	7	4	3	24	24	0	8	0.571	24	38	62	7	8	8	1	240	55	68	88	29	250	106	28	151	18	7	38.89%	14	4	71.43%	205	425	48.24%	228	470	48.51%	144	283	50.88%	181	123	176	57	113	55

			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
23	32	W1	65	104	169	737	752	299	86	495	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	16	7	0	0	0	0	65	52

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	9	1	0	0	0	0	33	17

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	7	6	0	0	0	0	32	35

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
6	2	0	2	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
40	15	37.50%	44	8	81.82%	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
209	215	264	49	29	18	14	4

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
205	425	48.24%	228	470	48.51%	144	283	50.88%

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
550	368	559	187	366	180

Derniers Match Joués

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

Date		Result	Detail
Sun, Apr 20	@	Flyers3,Lightning2 (OT)	RECAP
Tue, Apr 22	@	Flyers2,Lightning4	RECAP
Thu, Apr 24	@	Lightning2,Flyers3	RECAP
Sat, Apr 26	@	Lightning2,Flyers3	RECAP
Mon, Apr 28	@	Flyers2,Lightning1	RECAP
Sun, May 4	@	Flyers2,Capitals1 (OT)	RECAP
Tue, May 6	@	Flyers1,Capitals2 (OT)	RECAP
Thu, May 8	@	Capitals2,Flyers5	RECAP
Sat, May 10	@	Capitals1,Flyers4	RECAP
Mon, May 12	@	Flyers2,Capitals1 (OT)	RECAP
Sun, May 18	@	Flyers4,Sabres3 (OT)	RECAP
Tue, May 20	@	Flyers2,Sabres8	RECAP
Thu, May 22	@	Sabres1,Flyers2	RECAP
Sat, May 24	@	Sabres3,Flyers2	RECAP
Mon, May 26	@	Flyers3,Sabres4 (OT)	RECAP
Wed, May 28	@	Sabres2,Flyers6	RECAP
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Fri, May 30	@	Flyers5,Sabres3	RECAP
Sun, Jun 1	@	Flyers1,Blues2 (OT)	RECAP
Mon, Jun 2	@	Flyers3,Blues1	RECAP
Tue, Jun 3	@	Blues1,Flyers2	RECAP
Wed, Jun 4	@	Blues2,Flyers4	RECAP
Thu, Jun 5	@	Flyers2,Blues3	RECAP
Fri, Jun 6	@	Blues1,Flyers2	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	7419	3905	4881	1952	1367
Prix des Billets	140	79	44	27	279
Assistance	65199	33066	44856	18807	11878
Attendance PCT	87.88%	84.68%	91.90%	96.35%	86.89%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
31	17381 - 89.02%	2,642,171$	26,421,706$	19524	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
66,000,000$	15,400,000$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
0$	0$	0$	0$

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	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$	26,763,653$	26,763,653$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Jamie Benn	AGE:28	PO:0	OV:76
Brad Marchand	AGE:30	PO:0	OV:75
James van Riemsdyk	AGE:29	PO:0	OV:71
Valtteri Filppula	AGE:34	PO:0	OV:70
Josh Bailey	AGE:28	PO:0	OV:70
*Matthew Tkachuk	AGE:20	PO:0	OV:66
*Dylan Larkin	AGE:21	PO:0	OV:66
Steve Ott	AGE:35	PO:0	OV:64
Drew Miller	AGE:34	PO:0	OV:63
Tom Kostopoulos	AGE:39	PO:0	OV:63
Jordin Tootoo	AGE:35	PO:0	OV:61
Ryan Garbutt	AGE:32	PO:0	OV:60
Ryan Hamilton	AGE:33	PO:0	OV:60
Mason Raymond	AGE:32	PO:0	OV:57
Shane Harper	AGE:29	PO:0	OV:56
Tim Bozon	AGE:24	PO:0	OV:53
Scott Allen	AGE:27	PO:0	OV:53
Troy Bourke	AGE:24	PO:0	OV:53
*Thomas di Pauli	AGE:24	PO:0	OV:51
Anthony Camara	AGE:24	PO:0	OV:51
Kellen Jones	AGE:27	PO:0	OV:48
Mitchell Heard	AGE:26	PO:0	OV:47

Jamie Benn	AGE:28	PO:0	OV:76
David Backes	AGE:34	PO:0	OV:73
Artem Anisimov	AGE:29	PO:0	OV:71
Valtteri Filppula	AGE:34	PO:0	OV:70
Josh Bailey	AGE:28	PO:0	OV:70
Adam Lowry	AGE:25	PO:0	OV:69
*Dylan Larkin	AGE:21	PO:0	OV:66
Riley Sheahan	AGE:26	PO:0	OV:65
Steve Ott	AGE:35	PO:0	OV:64
Ryan Garbutt	AGE:32	PO:0	OV:60
Ryan Hamilton	AGE:33	PO:0	OV:60
*Connor Jones	AGE:27	PO:0	OV:55
Chris DiDomenico	AGE:29	PO:0	OV:53
Troy Bourke	AGE:24	PO:0	OV:53
*Thomas di Pauli	AGE:24	PO:0	OV:51
Caleb Herbert	AGE:26	PO:0	OV:51
Tyler Morley	AGE:26	PO:0	OV:51
Kellen Jones	AGE:27	PO:0	OV:48
Mitchell Heard	AGE:26	PO:0	OV:47

David Backes	AGE:34	PO:0	OV:73
Josh Bailey	AGE:28	PO:0	OV:70
Steve Ott	AGE:35	PO:0	OV:64
Drew Miller	AGE:34	PO:0	OV:63
Tom Kostopoulos	AGE:39	PO:0	OV:63
Jordin Tootoo	AGE:35	PO:0	OV:61
Ryan Hamilton	AGE:33	PO:0	OV:60
Mason Raymond	AGE:32	PO:0	OV:57
Shane Harper	AGE:29	PO:0	OV:56
Ty Loney	AGE:26	PO:0	OV:55
Jason Akeson	AGE:27	PO:0	OV:55
Caleb Herbert	AGE:26	PO:0	OV:51
Kellen Jones	AGE:27	PO:0	OV:48
Andrew Yogan	AGE:26	PO:0	OV:47

Défense #1

Défense #2

Gardien

Ryan Suter	AGE:33	PO:0	OV:77
*Zach Werenski	AGE:20	PO:0	OV:73
Tobias Enstrom	AGE:33	PO:0	OV:70
Luca Sbisa	AGE:28	PO:0	OV:69
Kevan Miller	AGE:30	PO:0	OV:69
Olli Maatta	AGE:23	PO:0	OV:68
Alex Grant	AGE:28	PO:0	OV:62
*Travis Sanheim	AGE:21	PO:0	OV:59

Mike Weber	AGE:30	PO:0	OV:56
Chris Casto	AGE:26	PO:0	OV:55
*Rob OGara	AGE:24	PO:0	OV:53
Chad Billins	AGE:28	PO:0	OV:53
Oleg Yevenko	AGE:27	PO:0	OV:53
Jonathan Carlsson	AGE:29	PO:0	OV:52
*Jeremy Roy	AGE:21	PO:0	OV:51
Jonathan Racine	AGE:24	PO:0	OV:50

Sergei Bobrovsky	AGE:29	PO:0	OV:83
Carter Hutton	AGE:32	PO:0	OV:74
*Linus Ullmark	AGE:24	PO:0	OV:68
Reto Berra	AGE:31	PO:0	OV:68
Brandon Halverson	AGE:22	PO:0	OV:53

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 Morrison	Flyers
Aleksi Saarela	Flyers	2015	107
Andrei Popov	Flyers
Artur Kayumov	Flyers	2016	64
Brad Phillips	Flyers
Brent Gates	Flyers	2015	131
Brett Murray	Flyers	2016	94
Cale Makar	Flyers	2017	8
Clayton Phillips	Flyers	2017	159
Connor Hurley	Flyers	2013	44
Daniel Pribyl	Flyers	2011	190
Dave Labrecque	Flyers
David Kase	Flyers	2015	117
Eddie Wittchow	Flyers	2011	175
Gregory Hofmann	Flyers	2011	137
Ilya Sorokin	Flyers	2014	102
Jacob Deserres	Flyers
Jake Oettinger	Flyers	2017	11
Jakub Kovar	Flyers
Joacim Eriksson	Flyers
Joonas Lehtivuori	Flyers
Kyle Olson	Flyers	2017	98
Marcus Pettersson	Flyers	2014	50
Mario Kempe	Flyers
Mario Valery-Trabucco	Flyers
Michael Parks	Flyers
Nicholas Luukko	Flyers
Nicola Riopel	Flyers
Patrick Kudla	Flyers	2016	218
Patrik Virta	Flyers	2017	145
Ross Colton	Flyers	2016	85
Ryan Bednard	Flyers	2016	184
Sebastian Stalberg	Flyers
Sebastian Walfridsson	Flyers	2017	156
Shane Bowers	Flyers	2017	37
Simon Bertilsson	Flyers
Simon Karlsson	Flyers	2011	134
Stephen Silas	Flyers
Toni Rajala	Flyers
Vladimir Sobotka	Flyers

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2018		PHI	TBL [CON: NJD]PHI [CON: MTL]	STL [CON: NJD]PHI [CON: MTL]	PHI
2019	PHI	PHI	PHI	PHI	PHI	PHI	PHI
2020	PHI	PHI	PHI	PHI	PHI	PHI	PHI
2021	PHI	PHI	PHI	PHI	PHI	PHI	PHI
2022	PHI	PHI	PHI	PHI	PHI	PHI	PHI

[18.05.2018 22:55:32] - Flyers are the Playoffs Champions for year 2017!
[24.03.2018 22:04:20] - Phantoms didn't make playoff for year 2017.
[03.03.2018 20:56:13] - New Record for Team's Most Hits (37) in 1 Game for Flyers!
[18.02.2018 23:18:33] - TRADE : From Devils to Flyers : Artem Anisimov (71).
[18.02.2018 23:18:33] - TRADE : From Flyers to Devils : Steven Santini (63), Conditional Draft Pick - Y:2018-RND:3-TBL, Conditional Draft Pick - Y:2018-RND:4-STL.
[18.02.2018 23:18:31] - Artem Anisimov was added to Flyers.
[25.01.2018 22:01:08] - TRADE : From Jets to Flyers : Tobias Enstrom (70).
[25.01.2018 22:01:08] - TRADE : From Flyers to Jets : Viktor Stalberg (66).
[25.01.2018 22:01:07] - Tobias Enstrom was added to Flyers.
[20.01.2018 20:39:26] - Brad Marchand has been selected as assistant for Flyers.
[20.01.2018 20:39:26] - Valtteri Filppula is no longer as assistant for Flyers.
[18.01.2018 21:07:52] - Valtteri Filppula has been selected as assistant for Flyers.
[18.01.2018 21:07:52] - Brad Marchand is no longer as assistant for Flyers.
[17.01.2018 20:49:30] - TRADE : From Maple Leafs to Flyers : Steve Ott (64), Drew Miller (63).
[17.01.2018 20:49:30] - TRADE : From Flyers to Maple Leafs : Y:2018-RND:6-PHI, Y:2018-RND:7-PHI.
[17.01.2018 20:49:29] - Drew Miller was added to Flyers.
[17.01.2018 20:49:29] - Steve Ott was added to Flyers.
[08.01.2018 21:13:12] - TRADE : From Flyers to Maple Leafs : Anthony Mantha (63), Jonah Gadjovich (P).
[08.01.2018 21:13:12] - TRADE : From Maple Leafs to Flyers : James van Riemsdyk (71), Y:2018-RND:3-TBL.
[08.01.2018 21:13:11] - James van Riemsdyk was added to Flyers.
[07.01.2018 21:01:18] - Alex Grant has been selected as assistant for Phantoms.
[07.01.2018 21:01:18] - Unknown Player is no longer as assistant for Phantoms.
[07.01.2018 21:01:18] - Ryan Hamilton has been selected as assistant for Phantoms.
[07.01.2018 21:01:18] - Unknown Player is no longer as assistant for Phantoms.
[07.01.2018 21:01:18] - Jordin Tootoo has been selected as captain for Phantoms.
[07.01.2018 21:01:18] - Unknown Player is no longer captain for Phantoms.
[07.01.2018 21:01:18] - Brad Marchand has been selected as assistant for Flyers.
[07.01.2018 21:01:18] - Unknown Player is no longer as assistant for Flyers.
[07.01.2018 21:01:18] - Jamie Benn has been selected as assistant for Flyers.
[07.01.2018 21:01:18] - Unknown Player is no longer as assistant for Flyers.
[11.12.2017 22:05:28] - New Record for Team's Most Hits (35) in 1 Game for Flyers!
[08.12.2017 21:57:00] - TRADE : From Flames to Flyers : David Backes (73).
[08.12.2017 21:56:59] - David Backes was added to Flyers.
[08.12.2017 21:52:12] - TRADE : From Canadiens to Flyers : Valtteri Filppula (70).
[08.12.2017 21:52:12] - TRADE : From Flyers to Canadiens : Conditional Draft Pick - Y:2018-RND:3-PHI, Conditional Draft Pick - Y:2018-RND:4-PHI.
[08.12.2017 21:52:10] - Valtteri Filppula was added to Flyers.
[04.12.2017 20:38:12] - Jeremy Roy was added to Flyers.
[04.12.2017 20:37:13] - Thomas di Pauli was added to Flyers.
[04.12.2017 20:36:11] - Rob OGara was added to Flyers.
[01.12.2017 20:48:59] - TRADE : From Devils to Flyers : Jamie Benn (76).
[01.12.2017 20:48:59] - TRADE : From Flyers to Devils : Brendan Gallagher (67), Morgan Frost (P), Henrik Borgstrom (P), Y:2018-RND:1-PHI.
[01.12.2017 20:48:57] - Jamie Benn was added to Flyers.
[27.11.2017 21:08:43] - TRADE : From Islanders to Flyers : Mitchell Heard (47), Kellen Jones (48), Ty Loney (55), Chris Casto (55), Shane Bowers (P).
[27.11.2017 21:08:43] - TRADE : From Flyers to Islanders : Jimmy Vesey (64).
[27.11.2017 21:08:39] - Chris Casto was added to Flyers.
[27.11.2017 21:08:39] - Ty Loney was added to Flyers.
[27.11.2017 21:08:39] - Kellen Jones was added to Flyers.
[27.11.2017 21:08:39] - Mitchell Heard was added to Flyers.
[30.10.2017 21:13:53] - Matthew Carle was released.
[30.10.2017 21:13:53] - Flyers paid 1 556 494 Kč to release Matthew Carle.
[14.10.2017 20:34:29] - Phantoms hired Bruce Cassidy for 100 000 Kč for 5 year(s).

[18.05.2018 22:55:32] Flyers are the Playoffs Champions!
[18.05.2018 22:55:26] Last 7 Days Pro Star : 1 - Jamie Benn of Flyers (4-7-11) / 2 - Sergei Bobrovsky of Flyers (0,934) / 3 - Vladimir Tarasenko of Blues (4-5-9)
[16.05.2018 20:45:02] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[14.05.2018 20:59:10] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[14.05.2018 20:59:09] Alex Grant of Flyers was sent down to farm.
[11.05.2018 20:49:32] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[10.05.2018 23:05:11] Luca Sbisa from Flyers is back from Sprained Left Knee Injury.
[10.05.2018 23:04:52] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[10.05.2018 23:04:51] Alex Grant of Flyers was sent to pro.
[08.05.2018 20:59:11] Alex Grant of Flyers was sent to farm.
[08.05.2018 20:58:12] Auto Lines Partial Function has been run for Flyers.
[08.05.2018 20:58:12] Auto Roster Partial Function has been run for Flyers.
[08.05.2018 20:58:12] Alex Grant of Flyers was sent to pro.
[08.05.2018 20:58:12] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Some errors will be automatically fixed.
[08.05.2018 20:58:10] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[07.05.2018 20:43:03] Phantoms roster errors : Too many Players available in Farm Team! 20 Dressed. Maximum is 19. Some errors will be automatically fixed.
[07.05.2018 20:43:03] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Some errors will be automatically fixed.
[07.05.2018 20:42:45] Phantoms roster errors : Too many Players available in Farm Team! 20 Dressed. Maximum is 19. Some errors will be automatically fixed.
[07.05.2018 20:42:45] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Some errors will be automatically fixed.
[07.05.2018 20:42:08] Alex Grant of Flyers was sent to farm.
[07.05.2018 20:40:12] Auto Lines Partial Function has been run for Flyers.
[07.05.2018 20:40:12] Auto Roster Partial Function has been run for Flyers.
[07.05.2018 20:40:12] Alex Grant of Flyers was sent to pro.
[07.05.2018 20:40:12] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Some errors will be automatically fixed.
[07.05.2018 20:40:10] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[04.05.2018 20:32:31] Flyers roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Some errors will be automatically fixed.
[04.05.2018 20:32:13] Game 97 - Luca Sbisa from Flyers is injured (Sprained Left Knee) and is out for 2 weeks.
[04.05.2018 20:32:07] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[02.05.2018 21:07:31] Brad Marchand from Flyers has scored a Hat Trick!
[02.05.2018 21:07:23] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[30.04.2018 22:16:11] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[27.04.2018 20:37:44] Tobias Enstrom from Flyers is back from Sprained Left Knee Injury.
[27.04.2018 20:37:44] Game 91 - Tobias Enstrom from Flyers is injured (Sprained Left Knee) and is out for 2 days.
[27.04.2018 20:37:40] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[26.04.2018 20:35:04] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[24.04.2018 20:34:36] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[23.04.2018 20:40:40] Jamie Benn from Flyers has scored a Hat Trick!
[23.04.2018 20:40:18] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[18.04.2018 21:12:25] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[18.04.2018 20:55:26] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[16.04.2018 20:47:39] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[13.04.2018 21:14:03] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[13.04.2018 21:02:55] Last 7 Days Pro Star : 1 - Brent Burns of Sabres (5-3-8) / 2 - Brad Marchand of Flyers (5-2-7) / 3 - Sergei Bobrovsky of Flyers (0,954)
[13.04.2018 21:02:54] Brad Marchand from Flyers has scored a Hat Trick!
[13.04.2018 21:02:41] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[12.04.2018 20:30:53] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[10.04.2018 20:46:25] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[10.04.2018 20:34:48] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[09.04.2018 21:04:52] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2
[06.04.2018 20:32:42] Successfully loaded Flyers lines done with STHS Client - 3.1.2.2

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
2017	82	35	19	0	8	4	7	9	204	159	45	41	20	8	0	3	2	2	6	106	77	29	41	15	11	0	5	2	5	3	98	82	16	70	204	316	520	0	4	60	74	55	21	2471	784	847	796	100	2494	1001	306	1921	160	33	20.63%	153	30	80.39%	6	689	1331	51.77%	736	1468	50.14%	467	874	53.43%	1939	1297	1852	633	1232	614
Total Saison Régulière	82	35	19	0	8	4	7	9	204	159	45	41	20	8	0	3	2	2	6	106	77	29	41	15	11	0	5	2	5	3	98	82	16	70	204	316	520	0	4	60	74	55	21	2471	784	847	796	100	2494	1001	306	1921	160	33	20.63%	153	30	80.39%	6	689	1331	51.77%	736	1468	50.14%	467	874	53.43%	1939	1297	1852	633	1232	614
2017	23	16	7	0	0	0	0	0	65	52	13	10	9	1	0	0	0	0	0	33	17	16	13	7	6	0	0	0	0	0	32	35	-3	32	65	104	169	0	0	29	18	14	4	737	209	215	264	49	752	299	86	495	40	15	37.50%	44	8	81.82%	0	205	425	48.24%	228	470	48.51%	144	283	50.88%	550	368	559	187	366	180
Total Séries	23	16	7	0	0	0	0	0	65	52	13	10	9	1	0	0	0	0	0	33	17	16	13	7	6	0	0	0	0	0	32	35	-3	32	65	104	169	0	0	29	18	14	4	737	209	215	264	49	752	299	86	495	40	15	37.50%	44	8	81.82%	0	205	425	48.24%	228	470	48.51%	144	283	50.88%	550	368	559	187	366	180