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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	Kevin Hayes	X				99.50	73	47	82	75	93	85	81	77	84	76	76	78	72	75	73	0	62	73	0
2	Tom Wilson (A)			X		100.00	97	75	56	72	90	83	84	71	58	73	77	84	69	71	76	0	81	72	0
3	Jeff Skinner	X	X	X		100.00	56	39	84	82	71	83	86	79	73	71	80	56	82	75	69	0	92	70	0
4	Nazem Kadri	X				100.00	78	52	64	77	73	82	85	74	83	76	75	62	77	78	73	0	82	70	0
5	Micheal Ferland		X	X		100.00	90	62	69	72	81	79	77	71	58	73	70	62	69	75	68	0	89	69	0
6	Cody Eakin	X				100.00	74	39	87	68	71	78	83	67	84	69	70	78	66	77	69	0	92	68	0
7	Michael Grabner		X	X		100.00	59	38	81	73	76	80	79	68	54	63	69	81	68	82	73	0	85	68	0
8	Oskar Lindblom		X	X		100.00	70	38	87	72	76	77	80	71	55	67	73	69	72	67	64	0	75	68	0
9	Ondrej Kase			X		100.00	54	39	89	74	72	83	77	72	56	73	70	62	74	69	65	0	92	67	0
10	Martin Necas	X		X		100.00	63	39	88	71	78	80	77	69	70	68	67	63	72	62	66	0	82	66	0
11	Tobias Rieder	X	X	X		100.00	67	39	83	66	70	73	82	65	68	63	61	76	66	73	67	0	91	65	0
12	Joel Farabee		X			100.00	55	43	81	70	72	76	73	68	53	62	67	59	68	61	62	0	56	64	0
13	Jacob Trouba				X	100.00	84	51	69	73	85	89	91	72	30	80	67	85	56	71	67	0	93	71	0
14	Brady Skjei				X	100.00	84	45	75	72	85	87	89	71	30	74	69	80	56	71	67	0	92	70	0
15	Justin Braun (A)				X	100.00	81	42	83	63	81	85	87	62	30	73	56	77	49	82	73	0	92	67	0
16	Devon Toews				X	100.00	62	39	88	69	76	85	81	68	30	76	66	62	54	71	67	0	92	67	0
17	Matt Roy				X	100.00	83	39	89	65	77	83	76	64	30	72	61	75	52	69	65	0	86	67	0
18	Dylan DeMelo				X	100.00	82	43	79	63	73	85	87	62	30	73	55	78	51	73	67	0	85	66	0
Rayé
1	Claude Giroux (C)	X	X	X		85.48	57	39	84	83	69	85	89	86	87	84	75	72	86	80	93	0	76	74	0
2	Evan Rodrigues	X	X	X		90.28	57	42	85	70	69	77	81	68	79	67	63	70	69	73	68	0	77	66	0

	MOYENNE D'ÉQUIPE					98.76	71	45	80	72	77	82	82	70	57	72	68	71	66	73	70	0	84	68

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Devan Dubnyk	100.00	91	95	93	97	90	89	91	90	89	91	90	84	88	0	89	76	0
2	Keith Kinkaid	100.00	73	76	74	81	72	71	73	72	71	73	72	79	85	0	92	65	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	82	86	84	89	81	80	82	81	80	82	81	82	87	0	91	71

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Tortorella	81	90	82	89	92	85	53	USA	61	1	100,000$

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	FW	S1	S2	S3
1	Tom Wilson	Flyers	RW	3	2	3	5	4	2	0	6	7	11	4	6	18.18%	0	56	18.68	0	1	1	4	10	0	1	1	0.00%	5	1.78	0	0	1	0
2	Brady Skjei	Flyers	D	3	1	3	4	0	4	0	7	2	6	1	1	16.67%	4	76	25.45	1	0	1	5	10	0	6	1	0.00%	0	1.05	0	0	0	0
3	Kevin Hayes	Flyers	C	3	2	2	4	4	0	0	0	11	15	1	9	13.33%	1	64	21.34	0	0	0	1	10	0	10	0	54.81%	104	1.25	0	1	0	0
4	Jacob Trouba	Flyers	D	3	1	2	3	0	2	0	8	7	5	2	4	20.00%	7	76	25.57	1	0	1	1	10	0	7	0	0.00%	0	0.78	0	0	0	0
5	Jeff Skinner	Flyers	C/LW/RW	3	1	2	3	3	0	0	0	5	8	3	7	12.50%	0	54	18.20	0	0	0	3	9	0	0	0	42.86%	7	1.10	0	1	0	0
6	Michael Grabner	Flyers	LW/RW	3	1	2	3	3	0	0	0	3	5	2	0	20.00%	1	53	17.73	0	0	0	0	0	1	10	0	50.00%	2	1.13	0	0	0	1
7	Nazem Kadri	Flyers	C	3	2	1	3	3	0	0	10	7	12	2	6	16.67%	0	52	17.64	1	0	1	3	8	0	0	1	48.65%	74	1.13	0	1	1	0
8	Oskar Lindblom	Flyers	LW/RW	3	0	3	3	1	4	0	1	4	11	3	7	0.00%	1	44	14.88	0	2	2	3	8	0	0	0	50.00%	4	1.34	0	0	0	0
9	Matt Roy	Flyers	D	3	1	1	2	2	2	0	4	0	6	1	1	16.67%	5	49	16.56	0	0	0	2	8	0	3	0	0.00%	0	0.81	0	0	0	0
10	Micheal Ferland	Flyers	LW/RW	3	1	1	2	2	7	5	6	1	6	3	4	16.67%	1	51	17.09	0	1	1	1	7	0	0	0	0.00%	4	0.78	1	0	0	0
11	Tobias Rieder	Flyers	C/LW/RW	3	1	1	2	-1	0	0	0	4	7	2	1	14.29%	0	24	8.19	0	0	0	0	0	0	3	0	47.06%	17	1.63	0	0	1	0
12	Cody Eakin	Flyers	C	3	0	1	1	1	0	0	3	11	7	0	7	0.00%	1	41	13.67	0	0	0	0	0	0	5	0	43.40%	53	0.49	0	0	0	0
13	Justin Braun	Flyers	D	3	0	1	1	5	2	0	4	3	1	1	2	0.00%	1	54	18.26	0	0	0	0	0	0	6	0	0.00%	0	0.37	0	0	0	0
14	Devon Toews	Flyers	D	3	0	1	1	5	4	0	1	6	2	0	1	0.00%	1	56	18.76	0	0	0	1	8	0	0	0	0.00%	0	0.36	0	0	0	0
15	Joel Farabee	Flyers	LW	2	0	1	1	-1	0	0	2	2	2	1	0	0.00%	0	12	6.27	0	0	0	0	0	0	0	0	0.00%	1	1.60	0	0	0	0
16	Martin Necas	Flyers	C/RW	2	1	0	1	-1	0	0	1	1	2	0	2	50.00%	0	12	6.27	0	0	0	0	0	0	0	0	0.00%	0	1.60	0	0	0	0
17	Ondrej Kase	Flyers	RW	3	1	0	1	3	0	0	0	2	10	3	4	10.00%	1	35	11.94	0	0	0	1	0	0	0	0	0.00%	0	0.56	0	0	0	1
18	Dylan DeMelo	Flyers	D	3	0	1	1	2	0	0	6	3	3	2	1	0.00%	7	46	15.36	0	0	0	0	0	0	7	0	0.00%	0	0.43	0	0	0	0
19	Claude Giroux	Flyers	C/LW/RW	1	0	0	0	0	0	0	0	1	2	0	0	0.00%	0	8	8.57	0	0	0	0	0	0	0	0	100.00%	1	0.00	0	0	0	0
20	Evan Rodrigues	Flyers	C/LW/RW	1	0	0	0	0	0	0	1	2	0	2	3	0.00%	0	8	8.67	0	0	0	0	0	0	0	0	71.43%	14	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				54	15	26	41	35	27	5	60	82	121	33	66	12.40%	31	880	16.30	3	4	7	25	94	1	64	3	49.30%	286	0.93	1	3	3	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 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	Devan Dubnyk	Flyers	3	3	0	0	0.924	2.33	180	0	0	7	92	0	0	0	0.000	0	3	0	0	0	1
Stats d'équipe Total ou en Moyenne			3	3	0	0	0.924	2.33	180	0	0	7	92	0	0	0	0.000	0	3	0	0	0	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Link
Brady Skjei	Flyers	D	25	1994-03-26	No	210 Lbs	6 ft3	No	No	No	5	Pro & Farm	5,250,000$	5,250,000$	3,000,000$	No	5,250,000$	5,250,000$	5,250,000$	5,250,000$				Lien / Lien NHL
Claude Giroux (Sur la Masse Salariale)	Flyers	C/LW/RW	31	1988-01-12	No	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	8,275,000$	0$	0$	Yes	8,275,000$	8,275,000$						Lien / Lien NHL
Cody Eakin	Flyers	C	28	1991-05-24	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,850,000$	3,850,000$	2,200,000$	No								Lien / Lien NHL
Devan Dubnyk	Flyers	G	33	1986-05-04	No	224 Lbs	6 ft6	No	No	No	2	Pro & Farm	4,333,000$	4,333,000$	2,476,000$	No	4,333,000$							Lien / Lien NHL
Devon Toews	Flyers	D	25	1994-02-21	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	700,000$	700,000$	400,000$	No								Lien / Lien NHL
Dylan DeMelo	Flyers	D	26	1993-05-01	No	191 Lbs	6 ft0	No	No	No	1	Pro & Farm	900,000$	900,000$	514,286$	No								Lien / Lien NHL
Evan Rodrigues (Sur la Masse Salariale)	Flyers	C/LW/RW	26	1993-07-28	No	184 Lbs	5 ft11	No	No	No	1	Pro & Farm	2,000,000$	0$	0$	Yes								Lien / Lien NHL
Jacob Trouba	Flyers	D	25	1994-02-26	No	209 Lbs	6 ft3	No	No	No	7	Pro & Farm	8,000,000$	8,000,000$	4,571,429$	No	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$	8,000,000$		Lien / Lien NHL
Jeff Skinner	Flyers	C/LW/RW	27	1992-05-16	No	195 Lbs	5 ft11	No	No	No	8	Pro & Farm	9,000,000$	9,000,000$	5,142,857$	No	9,000,000$	9,000,000$	9,000,000$	9,000,000$	9,000,000$	9,000,000$	9,000,000$	Lien / Lien NHL
Joel Farabee	Flyers	LW	19	2000-02-25	No	164 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,425,000$	1,425,000$	814,286$	No	1,425,000$	1,425,000$						Lien
Justin Braun	Flyers	D	32	1987-02-10	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	3,800,000$	3,800,000$	2,171,429$	No								Lien / Lien NHL
Keith Kinkaid	Flyers	G	30	1989-07-04	No	186 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,750,000$	1,750,000$	1,000,000$	No								Lien / Lien NHL
Kevin Hayes	Flyers	C	27	1992-05-08	No	216 Lbs	6 ft5	No	No	No	7	Pro & Farm	7,142,857$	7,142,857$	4,081,633$	No	7,142,857$	7,142,857$	7,142,857$	7,142,857$	7,142,857$	7,142,857$		Lien / Lien NHL
Martin Necas	Flyers	C/RW	20	1999-01-15	No	189 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,431,666$	1,431,666$	818,095$	No	1,431,666$							Lien / Lien NHL
Matt Roy	Flyers	D	24	1995-03-01	No	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	700,000$	700,000$	400,000$	No	700,000$							Lien / Lien NHL
Michael Grabner	Flyers	LW/RW	32	1987-10-05	No	188 Lbs	6 ft1	No	No	No	2	Pro & Farm	3,350,000$	3,350,000$	1,914,286$	No	3,350,000$							Lien / Lien NHL
Micheal Ferland	Flyers	LW/RW	27	1992-04-20	No	217 Lbs	6 ft1	No	No	No	4	Pro & Farm	3,500,000$	3,500,000$	2,000,000$	No	3,500,000$	3,500,000$	3,500,000$					Lien / Lien NHL
Nazem Kadri	Flyers	C	29	1990-10-06	No	192 Lbs	6 ft0	No	No	No	3	Pro & Farm	4,500,000$	4,500,000$	2,571,429$	No	4,500,000$	4,500,000$						Lien / Lien NHL
Ondrej Kase	Flyers	RW	23	1995-11-08	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,600,000$	2,600,000$	1,485,714$	No	2,600,000$							Lien / Lien NHL
Oskar Lindblom	Flyers	LW/RW	23	1996-08-15	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,137,500$	1,137,500$	650,000$	No								Lien / Lien NHL
Tobias Rieder	Flyers	C/LW/RW	26	1993-01-10	No	186 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,000$	700,000$	400,000$	No								Lien / Lien NHL
Tom Wilson	Flyers	RW	25	1994-03-29	No	220 Lbs	6 ft4	No	No	No	5	Pro & Farm	5,166,666$	5,166,666$	2,952,381$	No	5,166,666$	5,166,666$	5,166,666$	5,166,666$				Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	26.50	196 Lbs	6 ft1	2.86	3,614,168$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
79,511,689$	64,674,189$	52,259,523$	38,059,523$	34,559,523$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Micheal Ferland	Kevin Hayes	Tom Wilson	30	0	2	3
2	Jeff Skinner	Nazem Kadri	Michael Grabner	30	0	2	3
3	Oskar Lindblom	Cody Eakin	Ondrej Kase	25	0	2	3
4	Joel Farabee	Tobias Rieder	Martin Necas	15	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brady Skjei	Jacob Trouba	35	0	2	3
2	Devon Toews	Justin Braun	30	1	2	2
3	Matt Roy	Dylan DeMelo	25	1	3	1
4	Brady Skjei	Jacob Trouba	10	0	2	3

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jeff Skinner	Kevin Hayes	Tom Wilson	60	0	2	3
2	Oskar Lindblom	Nazem Kadri	Micheal Ferland	40	0	2	3

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brady Skjei	Jacob Trouba	60	0	2	3
2	Matt Roy	Devon Toews	40	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Kevin Hayes	Michael Grabner	60	1	3	1
2	Cody Eakin	Tobias Rieder	40	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brady Skjei	Jacob Trouba	60	1	3	1
2	Dylan DeMelo	Justin Braun	40	1	3	1

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Hayes	60	0	5	0	Brady Skjei	Jacob Trouba	60	0	5	0
2	Cody Eakin	40	0	5	0	Dylan DeMelo	Justin Braun	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Kevin Hayes	Tom Wilson	50	1	2	2
2	Nazem Kadri	Jeff Skinner	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brady Skjei	Jacob Trouba	60	0	3	2
2	Matt Roy	Devon Toews	40	0	3	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jeff Skinner	Kevin Hayes	Tom Wilson	Jacob Trouba	Brady Skjei

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Michael Grabner	Kevin Hayes	Tom Wilson	Jacob Trouba	Brady Skjei

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Oskar Lindblom, Ondrej Kase, Cody Eakin	Ondrej Kase, Martin Necas	Tom Wilson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Devon Toews, Dylan DeMelo, Jacob Trouba	Justin Braun	Matt Roy, Devon Toews

Tirs de Pénalité
Jeff Skinner, Kevin Hayes, Ondrej Kase, Nazem Kadri, Oskar Lindblom

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

Lignes d'Attaque Perso. en Prol.
Martin Necas, Kevin Hayes, Tom Wilson, Nazem Kadri, Jeff Skinner, Micheal Ferland, Micheal Ferland, Oskar Lindblom, Cody Eakin, Ondrej Kase, Michael Grabner

Lignes de Défense Perso. en Prol.
Jacob Trouba, Brady Skjei, Devon Toews, Matt Roy, Justin Braun

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	Rangers	3	3	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	10	5	5	6	1.000	15	26	41	0	0	6	3	6	0	121	62	23	36	0	92	31	27	60	12	3	25.00%	10	2	80.00%	0	64	132	48.48%	46	100	46.00%	31	54	57.41%	80	57	62	21	37	19
	Total	3	3	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	10	5	5	6	1.000	15	26	41	0	0	6	3	6	0	121	62	23	36	0	92	31	27	60	12	3	25.00%	10	2	80.00%	0	64	132	48.48%	46	100	46.00%	31	54	57.41%	80	57	62	21	37	19
	_Since Last GM Reset	3	3	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	10	5	5	6	1.000	15	26	41	0	0	6	3	6	0	121	62	23	36	0	92	31	27	60	12	3	25.00%	10	2	80.00%	0	64	132	48.48%	46	100	46.00%	31	54	57.41%	80	57	62	21	37	19
	_Vs Conference	3	3	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	10	5	5	6	1.000	15	26	41	0	0	6	3	6	0	121	62	23	36	0	92	31	27	60	12	3	25.00%	10	2	80.00%	0	64	132	48.48%	46	100	46.00%	31	54	57.41%	80	57	62	21	37	19
	_Vs Division	3	3	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	10	5	5	6	1.000	15	26	41	0	0	6	3	6	0	121	62	23	36	0	92	31	27	60	12	3	25.00%	10	2	80.00%	0	64	132	48.48%	46	100	46.00%	31	54	57.41%	80	57	62	21	37	19

			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
3	6	W3	15	26	41	121	92	31	27	60	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	3	0	0	0	0	0	15	7

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	5	2

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	10	5

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	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
12	3	25.00%	10	2	80.00%	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
62	23	36	0	6	3	6	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
64	132	48.48%	46	100	46.00%	31	54	57.41%

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
80	57	62	21	37	19

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 - 2021-04-06	2	Flyers	4	Rangers	1	W	Sommaire du Match
3 - 2021-04-08	10	Flyers	6	Rangers	4	W	Sommaire du Match
5 - 2021-04-10	18	Rangers	2	Flyers	5	W	Sommaire du Match
7 - 2021-04-12	26	Rangers	-	Flyers	-
9 - 2021-04-14	34	Flyers	-	Rangers	-
11 - 2021-04-16	42	Rangers	-	Flyers	-
13 - 2021-04-18	50	Flyers	-	Rangers	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des Billets	100	60	35	25	200
Assistance	6,000	5,000	2,000	4,000	1,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
40	18000 - 100.00%	647,700$	647,700$	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$	69,236,689$	37,018,832$	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$	20	2

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	8	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	500,647,700$	500,647,700$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
0$	81,500,000$	81,500,000$	-60,200,000$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Claude Giroux	AGE:31	PO:0	OV:74
Jeff Skinner	AGE:27	PO:0	OV:70
Micheal Ferland	AGE:27	PO:0	OV:69
Michael Grabner	AGE:32	PO:0	OV:68
Oskar Lindblom	AGE:23	PO:0	OV:68
Evan Rodrigues	AGE:26	PO:0	OV:66
Tobias Rieder	AGE:26	PO:0	OV:65
Christoffer Ehn	AGE:23	PO:0	OV:64
Joel Farabee	AGE:19	PO:0	OV:64
Valentin Zykov	AGE:24	PO:0	OV:62
CJ Suess	AGE:25	PO:0	OV:61
J.C. Beaudin	AGE:22	PO:0	OV:61

Claude Giroux	AGE:31	PO:0	OV:74
Kevin Hayes	AGE:27	PO:0	OV:73
Jeff Skinner	AGE:27	PO:0	OV:70
Nazem Kadri	AGE:29	PO:0	OV:70
Cody Eakin	AGE:28	PO:0	OV:68
Evan Rodrigues	AGE:26	PO:0	OV:66
Martin Necas	AGE:20	PO:0	OV:66
Riley Nash	AGE:30	PO:0	OV:65
Tobias Rieder	AGE:26	PO:0	OV:65
Christoffer Ehn	AGE:23	PO:0	OV:64
Boo Nieves	AGE:25	PO:0	OV:63
Morgan Frost	AGE:20	PO:0	OV:62
Mikhail Vorobyev	AGE:22	PO:0	OV:62
J.C. Beaudin	AGE:22	PO:0	OV:61

Claude Giroux	AGE:31	PO:0	OV:74
Tom Wilson	AGE:25	PO:0	OV:72
Jeff Skinner	AGE:27	PO:0	OV:70
Micheal Ferland	AGE:27	PO:0	OV:69
Michael Grabner	AGE:32	PO:0	OV:68
Oskar Lindblom	AGE:23	PO:0	OV:68
Ondrej Kase	AGE:23	PO:0	OV:67
Evan Rodrigues	AGE:26	PO:0	OV:66
Martin Necas	AGE:20	PO:0	OV:66
Riley Nash	AGE:30	PO:0	OV:65
Martin Frk	AGE:26	PO:0	OV:65
Tobias Rieder	AGE:26	PO:0	OV:65
Christian Fischer	AGE:22	PO:0	OV:63
Matt Read	AGE:33	PO:0	OV:63
Keegan Kolesar	AGE:22	PO:0	OV:62
Valentin Zykov	AGE:24	PO:0	OV:62

Défense #1

Défense #2

Gardien

Jacob Trouba	AGE:25	PO:0	OV:71
Brady Skjei	AGE:25	PO:0	OV:70
Justin Braun	AGE:32	PO:0	OV:67
Devon Toews	AGE:25	PO:0	OV:67
Matt Roy	AGE:24	PO:0	OV:67

Dylan DeMelo	AGE:26	PO:0	OV:66
Dan Hamhuis	AGE:36	PO:0	OV:64
Oscar Fantenberg	AGE:28	PO:0	OV:64
Dillon Heatherington	AGE:24	PO:0	OV:62
Chris Bigras	AGE:24	PO:0	OV:60

Devan Dubnyk	AGE:33	PO:0	OV:76
Hunter Miska	AGE:24	PO:0	OV:65
Keith Kinkaid	AGE:30	PO:0	OV:65
Jon Gillies	AGE:25	PO:0	OV:64

Éspoirs

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Lien
Andrei Markov	Flyers
Arvid Costmar	Flyers	9	124
Bobby Butler	Flyers			Lien
Conner Hurley	Flyers	3	77
Dan Girardi	Flyers			Lien
Dennis Rasmussen	Flyers
Greg Rallo	Flyers
Gustav Possler	Flyers	3	68
Hayden Hawkey	Flyers	4	153
Henri Ikonen	Flyers
Jakub Kindl	Flyers
Joel Vermin	Flyers
Michael Houser	Flyers
Viktor Loov	Flyers

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6
10
11
12
13
14

[2021-03-25 8:06:24 PM] - Justin Braun has been selected as assistant for Flyers.
[2021-03-25 8:06:24 PM] - Unknown Player is no longer as assistant for Flyers.
[2021-03-19 9:38:03 PM] - Luke Schenn was added to Flyers.
[2021-03-19 9:38:03 PM] - Flyers claimed Luke Schenn from waivers by Wild for $0.
[2021-03-19 9:37:54 PM] - Flyers show interest in Luke Schenn from waiver.
[2021-03-03 12:58:58 PM] - CJ Suess was added to Flyers.
[2021-03-02 8:59:13 PM] - TRADE : From Flyers to Ducks : Michael Paliotta (59).
[2021-03-02 8:59:13 PM] - TRADE : From Ducks to Flyers : Valentin Zykov (62).
[2021-03-02 8:58:52 PM] - TRADE : From Red Wings to Flyers : Kevin Hayes (73).
[2021-03-02 8:58:52 PM] - TRADE : From Flyers to Red Wings : Tyler Bertuzzi (69), Y:10-RND:4-DET.
[2021-03-01 8:38:05 PM] - TRADE : From Flyers to Sharks : Y:11-RND:6-PHI.
[2021-03-01 8:38:05 PM] - TRADE : From Sharks to Flyers : Michael Grabner (68).
[2021-02-27 8:16:36 PM] - Dillon Heatherington was added to Flyers.
[2021-02-27 8:16:36 PM] - Flyers claimed Dillon Heatherington from waivers by Rangers for $0.
[2021-02-27 8:16:36 PM] - Chris Bigras was added to Flyers.
[2021-02-27 8:16:36 PM] - Flyers claimed Chris Bigras from waivers by Blackhawks for $0.
[2021-02-27 8:16:25 PM] - Flyers show interest in Dillon Heatherington from waiver.
[2021-02-27 8:16:23 PM] - Flyers show interest in Chris Bigras from waiver.
[2021-02-26 7:39:58 PM] - TRADE : From Panthers to Flyers : Morgan Frost (62), Oskar Lindblom (68), Matt Roy (67), Y:10-RND:1-VGK, Y:10-RND:1-WSH, Y:11-RND:2-VGK.
[2021-02-26 7:39:58 PM] - TRADE : From Flyers to Panthers : James van Riemsdyk (70), Torey Krug (71), Y:11-RND:5-PHI.
[2021-02-26 7:36:56 PM] - Oscar Fantenberg was added to Flyers.
[2021-02-26 7:36:56 PM] - Flyers claimed Oscar Fantenberg from waivers by Avalanche for $0.
[2021-02-26 7:34:42 PM] - Flyers show interest in Oscar Fantenberg from waiver.
[2021-02-08 10:05:46 PM] - Boo Nieves was added to Flyers.
[2021-02-08 10:05:46 PM] - Flyers claimed Boo Nieves from waivers by Avalanche for $0.
[2021-02-08 10:05:37 PM] - Flyers show interest in Boo Nieves from waiver.
[2020-12-17 9:54:56 PM] - TRADE : From Golden Knights to Flyers : James van Riemsdyk (70), Dylan DeMelo (66).
[2020-12-17 9:54:56 PM] - TRADE : From Flyers to Golden Knights : Tyler Johnson (69), Jack Johnson (68).
[2020-11-11 8:28:46 PM] - Matt Read was added to Flyers.
[2020-11-11 8:28:46 PM] - Flyers claimed Matt Read from waivers by Penguins for $0.
[2020-11-11 8:28:37 PM] - Flyers show interest in Matt Read from waiver.
[2020-10-19 7:15:24 PM] - Torey Krug has been selected as assistant for Flyers.
[2020-10-19 7:15:24 PM] - Jeff Skinner is no longer as assistant for Flyers.
[2020-10-19 7:15:24 PM] - Tom Wilson has been selected as assistant for Flyers.
[2020-10-19 7:15:24 PM] - Torey Krug is no longer as assistant for Flyers.
[2020-10-08 7:01:21 PM] - Luke Schenn has been selected as assistant for Phantoms.
[2020-10-08 7:01:21 PM] - Unknown Player is no longer as assistant for Phantoms.
[2020-10-08 7:01:21 PM] - Dillon Heatherington has been selected as assistant for Phantoms.
[2020-10-08 7:01:21 PM] - Unknown Player is no longer as assistant for Phantoms.
[2020-10-08 7:01:21 PM] - Riley Nash has been selected as captain for Phantoms.
[2020-10-08 7:01:21 PM] - Unknown Player is no longer captain for Phantoms.
[2020-10-08 7:01:21 PM] - Torey Krug has been selected as assistant for Flyers.
[2020-10-08 7:01:21 PM] - Unknown Player is no longer as assistant for Flyers.
[2020-09-26 11:21:05 PM] - TRADE : From Flyers to Avalanche : Matt Nieto (66).
[2020-09-26 11:21:05 PM] - TRADE : From Avalanche to Flyers : Ondrej Kase (67).
[2020-07-12 2:48:03 PM] - Flyers drafts Arvid Costmar as the #124 overall pick in the Entry Draft of year 9.

[2021-04-09 8:58:49 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-04-09 8:58:49 PM] Martin Necas of Flyers was sent to pro.
[2021-04-09 8:58:49 PM] Joel Farabee of Flyers was sent to pro.
[2021-04-08 7:40:54 PM] Flyers roster errors : Not enough Forward available in Pro Team! 10 Dressed. 12 Required. Not enough Players available in Pro Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[2021-04-08 7:27:57 PM] Game 2 - Evan Rodrigues from Flyers is injured (Left Leg) and is out for 2 weeks.
[2021-04-08 7:27:57 PM] Game 2 - Claude Giroux from Flyers is injured (Torn Right ACL) and is out for 3 weeks.
[2021-04-05 8:11:44 PM] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2021-04-04 7:01:50 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-04-01 7:54:44 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-04-01 7:54:44 PM] Martin Necas of Flyers was sent down to farm.
[2021-03-28 8:49:22 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-27 7:21:05 PM] Nazem Kadri from Flyers is back from Right Forearm Injury.
[2021-03-27 7:21:05 PM] Boo Nieves from Phantoms has scored a Hat Trick!
[2021-03-25 8:06:24 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-23 8:52:22 PM] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2021-03-22 10:12:03 PM] Valentin Zykov from Phantoms has scored a Hat Trick!
[2021-03-22 10:11:56 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-22 10:11:56 PM] Flyers cannot claim Jack Johnson from waivers because Stars has already claimed him and has priority.
[2021-03-21 7:48:07 PM] Golden Knights claimed Luke Schenn from waivers by Flyers for $0.
[2021-03-20 10:28:47 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-20 10:28:47 PM] Luke Schenn of Flyers was sent down to farm.
[2021-03-20 10:28:46 PM] Flyers placed Luke Schenn on waivers.
[2021-03-19 9:38:03 PM] Luke Schenn was added to Flyers.
[2021-03-19 9:38:03 PM] Flyers claimed Luke Schenn from waivers by Wild for $0.
[2021-03-19 9:37:57 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-19 9:37:54 PM] Flyers show interest in Luke Schenn from waiver.
[2021-03-17 8:00:03 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-16 9:02:27 PM] Oscar Fantenberg(Flyers) cleared from waivers and was sent to down farm.
[2021-03-15 7:31:43 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-15 7:31:43 PM] Oscar Fantenberg of Flyers was sent down to farm.
[2021-03-15 7:31:43 PM] Joel Farabee of Flyers was sent down to farm.
[2021-03-15 7:31:41 PM] Flyers placed Oscar Fantenberg on waivers.
[2021-03-13 11:20:19 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-12 8:15:52 PM] Oskar Lindblom from Flyers is back from Right Leg Injury.
[2021-03-12 8:15:44 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-11 9:17:15 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-10 9:26:20 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-09 9:24:06 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-09 9:24:06 PM] Joel Farabee of Flyers was sent to pro.
[2021-03-08 7:26:22 PM] Game 1099 - Nazem Kadri from Flyers is injured (Right Forearm) and is out for 3 weeks.
[2021-03-08 7:26:06 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-08 7:26:06 PM] Martin Necas of Flyers was sent to pro.
[2021-03-07 7:19:53 PM] Game 1090 - Oskar Lindblom from Flyers is injured (Right Leg) and is out for 1 week.
[2021-03-07 7:19:47 PM] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2021-03-07 7:19:29 PM] Successfully loaded Flyers lines done with STHS Client - 3.2.6.6
[2021-03-07 7:19:29 PM] Flyers cannot claim Wayne Simmonds from waivers because Stars has already claimed him and has priority.
[2021-03-07 7:19:21 PM] Successfully loaded Flyers lines done with Web Base Client and SQLite Database.
[2021-03-05 8:16:03 PM] Dillon Heatherington(Flyers) cleared from waivers and was sent to down farm.
[2021-03-05 8:16:03 PM] Chris Bigras(Flyers) cleared from waivers and was sent to down farm.

Claude Giroux est dehors pour 1 semaine à cause de Torn Right ACL Injury.
Evan Rodrigues est dehors pour 4 jours à cause de Left Leg Injury.

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	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison Régulière
2	82	41	31	0	2	2	3	3	257	214	43	41	20	17	0	0	1	3	0	134	112	22	41	21	14	0	2	1	0	3	123	102	21	82	257	456	713	4	6	84	81	87	8	2799	919	940	920	38	2275	623	834	1518	368	71	19.29%	324	46	85.80%	2	1663	3164	52.56%	1426	2710	52.62%	664	1268	52.37%	2085	1472	1849	596	1027	525
3	82	35	25	0	7	1	6	8	230	195	35	41	17	11	0	4	0	3	6	117	103	14	41	18	14	0	3	1	3	2	113	92	21	70	230	404	634	3	8	83	66	68	22	2578	851	836	848	93	2105	621	1031	1623	345	46	13.33%	349	46	86.82%	3	1555	3015	51.58%	1336	2661	50.21%	601	1203	49.96%	2089	1470	1886	591	1030	522
4	82	40	30	0	0	7	3	2	226	207	19	41	26	11	0	0	3	0	1	128	99	29	41	14	19	0	0	4	3	1	98	108	-10	80	226	398	624	0	5	77	78	68	4	2354	746	764	834	25	2150	623	672	1796	247	38	15.38%	256	55	78.52%	1	1411	2758	51.16%	1384	2662	51.99%	657	1231	53.37%	1998	1397	1903	605	1055	521
5	82	47	23	0	4	3	3	2	285	205	80	41	24	12	0	2	2	1	0	138	91	47	41	23	11	0	2	1	2	2	147	114	33	94	285	510	795	3	6	92	90	96	8	2677	855	863	940	39	2221	600	564	1634	273	56	20.51%	229	40	82.53%	0	1593	2974	53.56%	1396	2636	52.96%	741	1346	55.05%	2054	1432	1831	597	1072	547
6	82	31	34	0	6	6	3	2	231	252	-21	41	14	16	0	5	3	3	0	125	128	-3	41	17	18	0	1	3	0	2	106	124	-18	62	231	425	656	2	0	79	74	69	11	2631	865	880	855	54	2586	688	683	1935	306	54	17.65%	273	58	78.75%	1	1568	2973	52.74%	1538	2901	53.02%	679	1263	53.76%	2037	1447	1916	581	1013	510
7	82	46	19	0	5	8	2	2	258	206	52	41	27	6	0	2	3	2	1	136	94	42	41	19	13	0	3	5	0	1	122	112	10	92	258	460	718	1	4	84	84	83	8	2649	843	894	888	41	2392	689	624	1874	281	54	19.22%	260	52	80.00%	2	1540	2930	52.56%	1447	2736	52.89%	614	1196	51.34%	2070	1484	1888	568	1000	509
8	82	37	27	0	4	2	6	6	224	194	30	41	22	11	0	2	2	2	2	119	90	29	41	15	16	0	2	0	4	4	105	104	1	102	224	405	629	1	3	75	59	80	16	2315	792	732	735	102	2251	658	813	1940	376	70	18.62%	347	49	85.88%	2	1531	2840	53.91%	1428	2793	51.13%	614	1194	51.42%	2036	1411	1913	615	1046	525
8	82	37	27	0	4	2	6	6	224	194	30	41	22	11	0	2	2	2	2	119	90	29	41	15	16	0	2	0	4	4	105	104	1	102	224	405	629	1	3	75	59	80	16	2315	792	732	735	102	2251	658	813	1940	376	70	18.62%	347	49	85.88%	2	1531	2840	53.91%	1428	2793	51.13%	614	1194	51.42%	2036	1411	1913	615	1046	525
9	82	35	34	0	10	0	2	1	248	230	18	41	14	20	0	4	0	2	1	115	111	4	41	21	14	0	6	0	0	0	133	119	14	95	248	441	689	1	5	90	83	63	17	2397	800	816	753	42	2450	705	856	1955	314	66	21.02%	354	60	83.05%	5	1444	2841	50.83%	1488	2951	50.42%	614	1234	49.76%	1949	1342	1964	610	1034	513
Total Saison Régulière	738	349	250	0	42	31	34	32	2183	1897	286	369	186	115	0	21	16	18	13	1131	918	213	369	163	135	0	21	15	16	19	1052	979	73	779	2183	3904	6087	16	40	739	674	694	110	22715	7463	7457	7508	536	20681	5865	6890	16215	2886	525	18.19%	2739	455	83.39%	18	13836	26335	52.54%	12871	24843	51.81%	5798	11129	52.10%	18359	12868	17067	5382	9327	4701
Séries
2	25	16	9	0	0	0	0	0	80	69	11	11	7	4	0	0	0	0	0	38	27	11	14	9	5	0	0	0	0	0	42	42	0	32	80	146	226	0	2	23	32	22	3	849	208	289	254	98	864	268	297	520	115	22	19.13%	101	16	84.16%	0	501	980	51.12%	508	1000	50.80%	194	391	49.62%	678	476	645	204	346	172
3	17	10	7	0	0	0	0	0	44	41	3	9	4	5	0	0	0	0	0	24	28	-4	8	6	2	0	0	0	0	0	20	13	7	20	44	80	124	0	1	8	20	15	1	462	122	159	165	16	428	122	242	369	90	8	8.89%	66	8	87.88%	0	307	616	49.84%	272	559	48.66%	115	239	48.12%	447	312	383	124	213	110
4	4	0	4	0	0	0	0	0	9	13	-4	2	0	2	0	0	0	0	0	5	7	-2	2	0	2	0	0	0	0	0	4	6	-2	0	9	16	25	0	0	4	1	4	0	101	28	33	39	1	116	28	30	101	8	1	12.50%	9	1	88.89%	0	64	127	50.39%	59	122	48.36%	38	65	58.46%	98	69	93	28	54	27
5	24	13	11	0	0	0	0	0	63	59	4	13	6	7	0	0	0	0	0	36	39	-3	11	7	4	0	0	0	0	0	27	20	7	26	63	112	175	1	4	24	19	19	1	828	251	246	244	87	819	236	188	462	77	15	19.48%	78	13	83.33%	0	519	956	54.29%	483	942	51.27%	197	379	51.98%	611	426	614	190	328	160
7	20	16	4	0	0	0	0	0	77	46	31	11	8	3	0	0	0	0	0	40	26	14	9	8	1	0	0	0	0	0	37	20	17	32	77	139	216	0	0	30	21	23	3	701	221	209	256	15	588	157	138	447	63	11	17.46%	56	11	80.36%	0	384	723	53.11%	363	700	51.86%	175	337	51.93%	503	360	473	142	253	129
8	27	16	11	0	0	0	0	0	77	75	2	13	8	5	0	0	0	0	0	36	30	6	14	8	6	0	0	0	0	0	41	45	-4	32	77	137	214	1	0	28	20	23	6	830	248	250	272	60	822	227	332	634	115	22	19.13%	131	22	83.21%	1	521	1050	49.62%	566	1033	54.79%	224	432	51.85%	691	471	687	220	373	184
9	3	3	0	0	0	0	0	0	15	7	8	1	1	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	10	5	5	6	15	26	41	0	0	6	3	6	0	121	62	23	36	0	92	31	27	60	12	3	25.00%	10	2	80.00%	0	64	132	48.48%	46	100	46.00%	31	54	57.41%	80	57	62	21	37	19
Total Séries	120	74	46	0	0	0	0	0	365	310	55	60	34	26	0	0	0	0	0	184	159	25	60	40	20	0	0	0	0	0	181	151	30	148	365	656	1021	2	7	123	116	112	14	3892	1140	1209	1266	277	3729	1069	1254	2593	480	82	17.08%	451	73	83.81%	1	2360	4584	51.48%	2297	4456	51.55%	974	1897	51.34%	3110	2173	2960	933	1607	804

	Flyers
	GP: 3 \| W: 3 \| L: 0 GF: 15 \| GA: 7 \| PP%: 25.00% \| PK%: 80.00% DG: Francois Gamache \| Morale : 94 \| Moyenne d'Équipe : 69 Prochain matchs #26 vs Rangers