Profi League - 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	Nicklas Backstrom (A)	X				100.00	65	43	82	90	84	92	90	92	95	61	50	67	68	89	90	0	57	76	0
2	Brad Marchand		X			100.00	66	56	78	85	85	89	87	80	62	48	59	73	50	85	84	0	57	73	0
3	Dylan Larkin (R)	X	X	X		100.00	66	43	83	96	70	85	85	84	62	47	51	61	50	64	60	0	57	68	0
4	Riley Sheahan	X	X			100.00	65	44	86	84	79	82	91	68	86	44	46	71	90	63	64	0	57	68	0
5	Brendan Gallagher (A)			X		100.00	63	42	82	86	69	85	80	87	63	50	53	61	50	65	67	0	57	68	0
6	Adam Lowry	X	X			100.00	83	71	79	75	78	80	90	64	87	43	43	72	50	60	61	0	57	67	0
7	Josh Bailey		X	X		100.00	64	42	87	81	66	84	86	69	61	47	46	63	71	73	74	0	57	66	0
8	Viktor Stalberg		X	X		100.00	77	45	89	76	75	75	69	66	60	44	43	67	60	69	71	0	57	65	0
9	Dwight King		X			100.00	71	76	82	63	94	80	67	64	60	41	44	68	99	65	69	0	57	65	0
10	Jordin Tootoo			X		100.00	73	99	78	77	67	73	72	69	57	40	42	59	50	76	78	0	58	63	0
11	Nate Thompson	X	X			100.00	77	58	65	62	58	56	78	64	88	40	41	70	50	72	74	0	57	61	0
12	David Clarkson			X		100.00	72	75	65	70	57	51	67	62	60	39	41	57	63	73	76	0	57	58	0
13	Jim O'Brien	X		X		100.00	61	76	64	63	58	69	57	61	77	39	39	61	69	58	64	0	58	57	0
14	Ryan Suter (C)				X	100.00	71	43	85	91	88	99	99	85	25	53	42	80	50	85	89	0	57	77	0
15	Olli Maatta				X	100.00	74	44	85	91	79	85	76	78	25	46	42	78	50	73	70	0	57	71	0
16	Matthew Carle				X	100.00	66	42	84	84	93	73	79	65	50	47	39	77	70	78	77	0	57	69	0
17	Luca Sbisa				X	100.00	76	77	80	79	70	76	77	61	25	42	40	76	50	77	69	0	57	66	0
18	Kevan Miller				X	100.00	82	70	77	77	76	80	75	55	25	44	41	80	50	60	61	0	57	65	0
19	Raman Hrabarenka				X	100.00	59	79	66	72	62	64	67	55	25	28	32	58	50	46	46	0	54	53	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	70	59	79	79	74	78	79	70	58	44	44	68	60	70	71	0	57	66

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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	Carter Hutton	100.00	72	75	80	81	77	86	72	78	75	66	51	62	60	0	57	72	0
Rayé
1	Sergei Bobrovsky	96.00	72	76	81	81	71	72	73	75	70	72	68	84	80	0	57	73	0

	MOYENNE D'ÉQUIPE	98.00	72	76	81	81	74	79	73	77	73	69	60	73	70	0	57	73

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Paul Maurice	73	74	78	84	90	86	72	CAN	49	4	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	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Brad Marchand	Flyers		LW	4	4	3	7	3	0	0	4	12	2	9	33.33%	2	19.:.19	1	0	1	0	0	1	2	0.00%	0	18	1	0	0	1.81	0
2	Nicklas Backstrom	Flyers		C	4	2	5	7	2	0	0	8	6	5	7	33.33%	2	19.:.10	0	0	0	0	0	0	0	60.32%	63	12	0	0	0	1.83	0
3	Ryan Suter	Flyers		D	4	0	6	6	2	2	0	7	21	4	6	0.00%	10	24.:.15	0	1	1	0	3	0	0	0.00%	0	5	7	0	0	1.24	0
4	Brendan Gallagher	Flyers		RW	4	2	3	5	3	0	0	1	10	6	4	20.00%	4	19.:.19	0	0	0	0	0	1	0	66.67%	6	9	0	0	0	1.29	0
5	Olli Maatta	Flyers		D	4	1	2	3	2	2	0	3	16	3	7	6.25%	9	20.:.12	0	1	1	0	0	1	0	0.00%	0	3	4	0	0	0.74	0
6	Dylan Larkin	Flyers		C/LW/RW	4	1	1	2	0	0	0	8	15	5	5	6.67%	0	16.:.26	0	1	1	0	0	0	0	39.02%	41	11	2	0	0	0.61	0
7	Jordin Tootoo	Flyers		RW	4	0	2	2	2	5	5	3	9	5	2	0.00%	1	11.:.50	0	0	0	0	0	0	0	50.00%	4	5	2	0	0	0.84	0
8	Viktor Stalberg	Flyers		LW/RW	4	1	1	2	2	0	0	3	6	1	4	16.67%	0	09.:.36	0	0	0	0	0	0	0	50.00%	2	6	1	0	0	1.04	0
9	Josh Bailey	Flyers		LW/RW	4	1	1	2	0	0	0	7	11	1	4	9.09%	0	16.:.40	1	0	1	0	1	1	0	0.00%	1	4	1	0	0	0.60	0
10	Luca Sbisa	Flyers		D	4	0	2	2	2	2	0	10	4	3	5	0.00%	2	21.:.39	0	0	0	0	4	0	0	0.00%	0	1	8	0	0	0.46	0
11	Dwight King	Flyers		LW	4	2	0	2	2	0	0	7	8	4	6	25.00%	0	11.:.56	0	0	0	0	0	0	1	0.00%	0	0	0	0	0	0.84	0
12	Nate Thompson	Flyers		C/LW	4	1	0	1	3	4	0	6	4	2	0	25.00%	3	14.:.28	0	0	0	0	7	0	0	45.24%	42	0	3	1	0	0.35	0
13	Kevan Miller	Flyers		D	4	0	1	1	3	0	0	4	4	0	5	0.00%	7	15.:.34	0	0	0	0	6	0	0	0.00%	0	0	11	0	0	0.32	0
14	Raman Hrabarenka	Flyers		D	4	0	0	0	3	9	5	3	1	0	1	0.00%	2	13.:.43	0	0	0	0	2	0	0	0.00%	0	0	3	0	0	0.00	0
15	David Clarkson	Flyers		RW	4	0	0	0	2	0	0	7	2	0	4	0.00%	0	12.:.18	0	0	0	0	1	0	0	16.67%	6	0	2	0	0	0.00	0
16	Riley Sheahan	Flyers		C/LW	4	0	0	0	0	0	0	7	6	0	1	0.00%	2	14.:.11	0	0	0	0	1	0	0	0.00%	0	2	1	0	0	0.00	0
17	Matthew Carle	Flyers		D	4	0	0	0	2	0	0	2	3	2	1	0.00%	9	24.:.41	0	0	0	0	5	0	0	0.00%	0	0	3	0	0	0.00	0
18	Jim O'Brien	Flyers		C/RW	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.00	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
19	Adam Lowry	Flyers		C/LW	4	0	0	0	2	0	0	3	9	3	1	0.00%	3	11.:.53	0	0	0	0	9	0	0	40.91%	22	5	4	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		76	15	27	42	35	24	10	93	78	147	46	72	10.20%	56	1189	15.65	2	3	5	13	107	0	2	42	4	3	48.13%	187	81	53	1	0.71	0	0	0	1	1	2	3	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	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Sergei Bobrovsky	Flyers	4	4	0	0	94.6%	1.75	240	0	0	7	130	97	0	0	0.0%	0	4	0	2	0	0
Stats d'équipe Total ou en Moyenne	4	4	0	0	0.946	1.75	240	0	0	7	130	97	0	0	0.000	0	4	0	2	0	0

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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	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Adam Lowry	C/LW	23	29.03.1993 15:04:15	No	207 Lbs	6 ft5	No	No	1	Pro & Farm	1,200,000$	0$				Lien
Brad Marchand	LW	28	11.05.1988	No	183 Lbs	5 ft9	No	No	2	Pro & Farm	4,200,000$	0$	4,200,000$			Lien
Brendan Gallagher	RW	24	05.06.1992 7:57:50	No	182 Lbs	5 ft9	No	No	2	Pro & Farm	3,900,000$	0$	3,900,000$			Lien
Carter Hutton	G	30	19.12.1985	No	195 Lbs	6 ft1	No	No	2	Pro Only	1,100,000$	0$	1,100,000$			Lien
David Clarkson	RW	32	31.03.1984	No	200 Lbs	6 ft1	No	No	2	Pro Only	1,300,000$	0$	1,300,000$			Lien
Dwight King	LW	27	05.07.1989	No	229 Lbs	6 ft4	No	No	2	Pro & Farm	1,500,000$	0$	1,500,000$			Lien
Dylan Larkin	C/LW/RW	20	30.07.1996 16:58:28	Yes	190 Lbs	6 ft1	No	No	3	Pro Only	1,700,000$	0$	1,700,000$	1,700,000$		Lien
Jim O'Brien	C/RW	27	29.01.1989	No	202 Lbs	6 ft2	No	No	1	Pro & Farm	600,000$	0$				Lien
Jordin Tootoo	RW	33	02.02.1983	No	195 Lbs	5 ft9	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$			Lien
Josh Bailey	LW/RW	27	02.10.1989 9:39:25	No	194 Lbs	6 ft1	No	No	2	Pro & Farm	2,300,000$	0$	2,300,000$			Lien
Kevan Miller	D	28	15.11.1987	No	210 Lbs	6 ft2	No	No	4	Pro Only	2,100,000$	0$	2,100,000$	2,100,000$	2,100,000$	Lien
Luca Sbisa	D	26	30.01.1990	No	198 Lbs	6 ft2	No	No	2	Pro & Farm	1,800,000$	0$	1,800,000$			Lien
Matthew Carle	D	32	25.09.1984	No	205 Lbs	6 ft0	No	No	2	Pro & Farm	3,400,000$	0$	3,400,000$			Lien
Nate Thompson	C/LW	32	05.10.1984	No	210 Lbs	6 ft0	No	No	1	Pro Only	1,200,000$	0$				Lien
Nicklas Backstrom	C	28	23.11.1987	No	213 Lbs	6 ft1	Yes	No	2	Pro & Farm	7,200,000$	0$	7,200,000$			Lien
Olli Maatta	D	22	22.08.1994 1:17:43	No	206 Lbs	6 ft2	No	No	1	Pro Only	1,500,000$	0$				Lien
Raman Hrabarenka	D	24	24.08.1992 3:42:17	No	212 Lbs	6 ft3	No	No	1	Pro Only	1,300,000$	0$				Lien
Riley Sheahan	C/LW	24	07.12.1991 1:47:38	No	222 Lbs	6 ft3	No	No	3	Pro & Farm	2,100,000$	0$	2,100,000$	2,100,000$		Lien
Ryan Suter	D	31	21.01.1985	No	200 Lbs	6 ft1	No	No	1	Pro & Farm	5,800,000$	0$				Lien
Sergei Bobrovsky	G	28	20.09.1988	No	182 Lbs	6 ft2	No	No	3	Pro Only	5,000,000$	0$	5,000,000$	5,000,000$		Lien
Viktor Stalberg	LW/RW	30	17.01.1986	No	209 Lbs	6 ft3	No	No	2	Pro Only	2,500,000$	0$	2,500,000$			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	27.43	202 Lbs	6 ft1	1.952380952381	2,509,524$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Nicklas Backstrom	Brad Marchand	Brendan Gallagher	40	1	2	2
2	Dylan Larkin	Riley Sheahan	Josh Bailey	30	2	1	2
3	Nate Thompson	Dwight King	Jordin Tootoo	18	1	2	2
4	Adam Lowry	Viktor Stalberg	David Clarkson	12	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Matthew Carle	44	1	2	2
2	Olli Maatta	Luca Sbisa	40	1	2	2
3	Raman Hrabarenka	Kevan Miller	16	1	3	1
4	Ryan Suter	Matthew Carle	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Nicklas Backstrom	Brad Marchand	Brendan Gallagher	67	1	0	4
2	Dylan Larkin	Josh Bailey	David Clarkson	33	2	0	3

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Matthew Carle	67	1	1	3
2	Olli Maatta	Luca Sbisa	33	2	1	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nate Thompson	Adam Lowry	58	1	4	0
2	Riley Sheahan	Josh Bailey	42	2	3	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Matthew Carle	58	2	3	0
2	Luca Sbisa	Kevan Miller	42	2	3	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nate Thompson	58	1	4	0	Ryan Suter	Matthew Carle	58	2	3	0
2	Adam Lowry	42	1	4	0	Luca Sbisa	Olli Maatta	42	2	3	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nicklas Backstrom	Brad Marchand	60	1	2	2
2	Dylan Larkin	Brendan Gallagher	40	2	2	1

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Suter	Matthew Carle	60	1	2	2
2	Luca Sbisa	Kevan Miller	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Nicklas Backstrom	Brad Marchand	Brendan Gallagher	Ryan Suter	Matthew Carle

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Nate Thompson	Brad Marchand	Brendan Gallagher	Ryan Suter	Matthew Carle

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nicklas Backstrom, Dylan Larkin, Josh Bailey	Brad Marchand, Nate Thompson	David Clarkson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kevan Miller, Luca Sbisa, Olli Maatta	Kevan Miller	Matthew Carle, Ryan Suter

Tirs de Pénalité
Nicklas Backstrom, Dylan Larkin, Brendan Gallagher, Josh Bailey, Brad Marchand

Gardien
#1 : , #2 : Carter Hutton

Lignes d'Attaque Perso. en Prol.
Nicklas Backstrom, Dylan Larkin, Josh Bailey, Brendan Gallagher, Brad Marchand, Nate Thompson, Nate Thompson, David Clarkson, Adam Lowry, Riley Sheahan, Dwight King

Lignes de Défense Perso. en Prol.
Ryan Suter, Matthew Carle, Olli Maatta, Luca Sbisa, Kevan Miller

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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

#	VS Équipe	GP	W	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	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	Islanders	1	1	3	1	2	2	1.000	3	6	9	1	2	0	34	15	13	6	31	14	5	24	4	0	0.00%	0	0	0.00%	37	81	45.68%	26	60	43.33%	27	46	58.70%	25	17	20	7	14	7
2	Jets	1	1	6	3	3	2	1.000	6	11	17	2	1	3	32	7	11	14	34	12	4	21	3	1	33.33%	2	0	100.00%	37	81	45.68%	26	60	43.33%	27	46	58.70%	21	13	22	8	15	7
3	Wild	1	1	3	2	1	2	1.000	3	5	8	0	3	0	44	16	14	14	31	9	7	32	2	1	50.00%	1	1	0.00%	37	81	45.68%	26	60	43.33%	27	46	58.70%	28	19	16	6	15	8
4	Ducks	1	1	3	1	2	2	1.000	3	5	8	1	0	2	37	15	15	7	34	21	8	16	5	0	0.00%	4	0	100.00%	37	81	45.68%	26	60	43.33%	27	46	58.70%	25	17	21	7	13	6
	Vs Conference	1	1	3	1	2	2	1.000	3	6	9	1	2	0	34	15	13	6	31	14	5	24	4	0	0.00%	0	0	0.00%	37	81	45.68%	26	60	43.33%	27	46	58.70%	25	17	20	7	14	7
	Since Last GM Reset	4	4	15	7	8	8	1.000	15	27	42	4	6	5	147	53	53	41	130	56	24	93	14	2	14.29%	7	1	85.71%	37	81	45.68%	26	60	43.33%	27	46	58.70%	100	67	81	29	58	29
	Total	4	4	15	7	8	8	1.000	15	27	42	4	6	5	147	53	53	41	130	56	24	93	14	2	14.29%	7	1	85.71%	37	81	45.68%	26	60	43.33%	27	46	58.70%	100	67	81	29	58	29

			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
4	8	W4	15	27	42	147	130	56	24	93	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	15	7

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	6	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	9	4

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	0	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
14	2	14.29%	7	1	85.71%	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
53	53	41	0	4	6	5	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
37	81	45.68%	26	60	43.33%	27	46	58.70%

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
100	67	81	29	58	29

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
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Mon, Apr 21	@	Flyers3,Ducks1	RECAP
Tue, Apr 22	@	Wild2,Flyers3	RECAP
Wed, Apr 23	@	Islanders1,Flyers3	RECAP
Sat, Apr 26	@	Flyers6,Jets3	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	95	60	35	20	190
Assistance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	19524	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
52,700,000$	2,100,000$	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$	12,220,351$	12,220,351$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Brad Marchand	AGE:28	PO:0	OV:73
*Dylan Larkin	AGE:20	PO:0	OV:68
Riley Sheahan	AGE:24	PO:0	OV:68
Adam Lowry	AGE:23	PO:0	OV:67
Josh Bailey	AGE:27	PO:0	OV:66
Viktor Stalberg	AGE:30	PO:0	OV:65
Dwight King	AGE:27	PO:0	OV:65
Nate Thompson	AGE:32	PO:0	OV:61
Shane Harper	AGE:27	PO:0	OV:55
*Curtis Hamilton	AGE:24	PO:0	OV:54
*Tim Bozon	AGE:22	PO:0	OV:52
Colin Campbell	AGE:25	PO:0	OV:51
Harry Zolnierczyk	AGE:29	PO:0	OV:51
Ross Mauermann	AGE:26	PO:0	OV:51
*Anthony Camara	AGE:23	PO:0	OV:50
*Caleb Herbert	AGE:25	PO:0	OV:49
Daniel Ciampini	AGE:25	PO:0	OV:49
Troy Bourke	AGE:22	PO:0	OV:49

Nicklas Backstrom	AGE:28	PO:0	OV:76
*Dylan Larkin	AGE:20	PO:0	OV:68
Riley Sheahan	AGE:24	PO:0	OV:68
Adam Lowry	AGE:23	PO:0	OV:67
Nate Thompson	AGE:32	PO:0	OV:61
Jim O'Brien	AGE:27	PO:0	OV:57
Zach O'Brien	AGE:24	PO:0	OV:54
Adam Payerl	AGE:25	PO:0	OV:52
Ross Mauermann	AGE:26	PO:0	OV:51
*Caleb Herbert	AGE:25	PO:0	OV:49
Troy Bourke	AGE:22	PO:0	OV:49

*Dylan Larkin	AGE:20	PO:0	OV:68
Brendan Gallagher	AGE:24	PO:0	OV:68
Josh Bailey	AGE:27	PO:0	OV:66
Viktor Stalberg	AGE:30	PO:0	OV:65
Jordin Tootoo	AGE:33	PO:0	OV:63
David Clarkson	AGE:32	PO:0	OV:58
Jim O'Brien	AGE:27	PO:0	OV:57
Shane Harper	AGE:27	PO:0	OV:55
Zach O'Brien	AGE:24	PO:0	OV:54
Adam Payerl	AGE:25	PO:0	OV:52
Colin Campbell	AGE:25	PO:0	OV:51
Andrew Yogan	AGE:24	PO:0	OV:51
*Caleb Herbert	AGE:25	PO:0	OV:49
Daniel Ciampini	AGE:25	PO:0	OV:49

Défense #1

Défense #2

Gardien

Ryan Suter	AGE:31	PO:0	OV:77
Olli Maatta	AGE:22	PO:0	OV:71
Matthew Carle	AGE:32	PO:0	OV:69
Luca Sbisa	AGE:26	PO:0	OV:66
Kevan Miller	AGE:28	PO:0	OV:65
*Jordan Schmaltz	AGE:23	PO:0	OV:56

Oliver Lauridsen	AGE:27	PO:0	OV:54
Raman Hrabarenka	AGE:24	PO:0	OV:53
Erik Burgdoerfer	AGE:27	PO:0	OV:53
Taylor Doherty	AGE:25	PO:0	OV:52
*Jonathan Racine	AGE:23	PO:0	OV:52
James Melindy	AGE:22	PO:0	OV:48

Sergei Bobrovsky	AGE:28	PO:0	OV:73
*Linus Ullmark	AGE:23	PO:0	OV:72
Carter Hutton	AGE:30	PO:0	OV:72
Josh Robinson	AGE:26	PO:0	OV:65

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
Brandon Halverson	Flyers	2014	88
Brent Gates	Flyers	2015	131
Brett Murray	Flyers	2016	94
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
Henrik Borgstrom	Flyers	2016	34
Ilya Sorokin	Flyers	2014	102
Jacob Deserres	Flyers
Jakub Kovar	Flyers
Jeremy Roy	Flyers	2015	26
Jimmy Vesey	Flyers	2012	75
Joacim Eriksson	Flyers
Joonas Lehtivuori	Flyers
Marcus Pettersson	Flyers	2014	50
Mario Kempe	Flyers
Mario Valery-Trabucco	Flyers
Matthew Tkachuk	Flyers	2016	4
Michael Parks	Flyers
Nicholas Luukko	Flyers
Nicola Riopel	Flyers
Patrick Kudla	Flyers	2016	218
Rob OGara	Flyers	2011	167
Ross Colton	Flyers	2016	85
Ryan Bednard	Flyers	2016	184
Sebastian Stalberg	Flyers
Simon Bertilsson	Flyers
Simon Karlsson	Flyers	2011	134
Stephen Silas	Flyers
Steven Santini	Flyers	2013	39
Thomas di Pauli	Flyers	2015	137
Toni Rajala	Flyers
Travis Sanheim	Flyers	2014	30
Vladimir Sobotka	Flyers
Zachary Werenski	Flyers	2015	11

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2017	PHI	PHI	PHI	PHI	PHI	PHI	PHI
2018	PHI	PHI	PHI	PHI	PHI	PHI	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

[12.09.2016 4:52:22] - Flyers drafts Artur Kayumov as the #64 overall pick in the Entry Draft of year 2016.
[19.09.2016 5:38:35] - Flyers drafts Ross Colton as the #85 overall pick in the Entry Draft of year 2016.
[19.09.2016 5:48:02] - Flyers drafts Brett Murray as the #94 overall pick in the Entry Draft of year 2016.
[22.09.2016 7:41:37] - Flyers drafts MISSED PICK as the #103 overall pick in the Entry Draft of year 2016.
[24.09.2016 5:42:51] - Phantoms hired Glen Gulutzan for 100 000 Kč for 5 year(s).
[02.10.2016 7:20:24] - Flyers drafts MISSED PICK as the #154 overall pick in the Entry Draft of year 2016.
[08.10.2016 6:02:29] - Flyers drafts MISSED PICK as the #184 overall pick in the Entry Draft of year 2016.
[12.10.2016 6:26:08] - TRADE : From Avalanche to Flyers : 1 500 000 Kč (Money).
[12.10.2016 6:26:08] - TRADE : From Flyers to Avalanche : MISSED PICK (P).
[12.10.2016 6:36:04] - MISSED PICK has been deleted from Flyers.
[12.10.2016 6:36:13] - Patrick Kudla has been added to Flyers.
[12.10.2016 6:36:26] - MISSED PICK has been deleted from Flyers.
[12.10.2016 6:36:32] - Ryan Bednard has been added to Flyers.
[15.10.2016 22:21:59] - Caleb Herbert was added to Flyers.
[15.10.2016 22:22:01] - TRADE : From Sabres to Flyers : Caleb Herbert (49).
[15.10.2016 22:22:13] - Curtis Hamilton was added to Flyers.
[15.10.2016 22:22:13] - Jim O'Brien was added to Flyers.
[15.10.2016 22:22:14] - TRADE : From Senators to Flyers : Curtis Hamilton (54), Jim O'Brien (56).
[16.10.2016 22:48:15] - Josh Robinson was added to Flyers.
[16.10.2016 22:48:15] - Josh Robinson signed with Flyers for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:48:48] - Daniel Ciampini was added to Flyers.
[16.10.2016 22:48:48] - Daniel Ciampini signed with Flyers for 700 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:49:10] - Ross Mauermann was added to Flyers.
[16.10.2016 22:49:10] - Ross Mauermann signed with Flyers for 700 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:49:37] - Colin Campbell was added to Flyers.
[16.10.2016 22:49:37] - Colin Campbell signed with Flyers for 700 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:50:01] - Adam Payerl was added to Flyers.
[16.10.2016 22:50:01] - Adam Payerl signed with Flyers for 700 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:50:24] - Taylor Doherty was added to Flyers.
[16.10.2016 22:50:24] - Taylor Doherty signed with Flyers for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:50:49] - Zach O'Brien was added to Flyers.
[16.10.2016 22:50:49] - Zach O'Brien signed with Flyers for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:51:49] - James Melindy was added to Flyers.
[16.10.2016 22:51:49] - James Melindy signed with Flyers for 600 000 Kč for 1 year(s) with 0 Kč in bonus.
[16.10.2016 22:54:05] - Erik Burgdoerfer was added to Flyers.
[16.10.2016 22:54:05] - Erik Burgdoerfer signed with Flyers for 1 100 000 Kč for 1 year(s) with 0 Kč in bonus.

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