LAAHS - Flyers

Philadelphia Phantoms
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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	Patrick Kane (A)		X	X		100.00	61	41	91	95	64	90	99	90	30	99	95	55	76	81	88	87	57	80	1
2	Leon Draisaitl	X	X			100.00	69	43	82	86	79	90	97	88	90	93	96	69	84	65	65	88	57	79	0
3	Filip Forsberg		X	X		100.00	81	45	87	86	75	80	83	86	29	77	90	65	57	68	70	82	57	74	0
4	Vincent Trocheck	X	X	X		100.00	85	44	73	86	65	83	86	80	92	82	71	76	63	65	66	77	57	73	0
5	Casey Cizikas	X	X			100.00	83	45	85	81	72	67	86	61	86	64	78	87	75	71	73	77	57	71	0
6	Travis Konecny	X	X	X		100.00	71	55	85	86	64	70	99	73	35	75	80	59	25	60	61	76	57	69	0
7	Scott Laughton	X	X	X		100.00	83	55	81	79	71	68	99	58	86	69	68	86	25	62	63	73	63	69	0
8	Kevin Labanc		X	X		100.00	71	42	86	78	67	67	98	78	37	84	72	53	75	60	61	73	45	68	0
9	Jakub Vrana		X	X		100.00	67	52	89	84	72	67	95	68	35	73	80	58	75	60	62	75	60	68	0
10	Calle Jarnkrok	X	X	X		100.00	69	42	94	80	67	70	91	66	63	65	64	76	75	69	71	70	57	67	0
11	Kevin Fiala		X	X		100.00	65	42	87	79	68	70	99	75	35	75	70	52	25	60	61	70	57	66	0
12	Sean Kuraly	X	X			100.00	83	59	84	72	78	67	90	60	84	64	60	83	25	54	55	68	57	66	0
13	Rasmus Ristolainen				X	100.00	95	47	85	86	81	91	93	81	25	74	48	85	75	67	67	71	57	77	0
14	Justin Faulk				X	100.00	84	55	83	87	78	85	96	80	25	64	54	78	25	71	72	70	57	74	0
15	Brandon Montour				X	100.00	77	44	80	86	70	86	98	76	25	66	50	81	75	62	63	69	57	73	0
16	Mike Matheson				X	100.00	71	43	83	85	72	86	95	64	25	60	51	87	25	60	61	67	57	72	0
17	T.J. Brodie				X	100.00	61	41	90	88	68	83	93	68	25	66	51	78	25	71	72	67	52	71	0
18	Nikita Zadorov				X	100.00	98	79	71	82	88	72	91	60	25	50	50	74	25	63	64	64	45	70	0
Rayé
1	Brendan Perlini		X	X		100.00	71	44	87	88	79	59	88	62	29	60	72	58	75	63	63	70	49	65	0
2	Ryan Hitchcock	X	X			100.00	74	63	99	65	63	53	55	49	61	49	44	60	42	44	44	53	36	52	0

	MOYENNE D'ÉQUIPE					100.00	76	49	85	83	72	75	92	71	47	70	67	71	52	64	65	72	55	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	Matt Murray	100.00	86	79	76	74	90	82	66	86	87	86	87	56	56	82	57	76	0
2	Casey DeSmith	100.00	82	68	65	66	88	76	64	79	85	82	59	48	48	77	53	71	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	84	74	71	70	89	79	65	83	86	84	73	52	52	80	55	74

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Barry Trotz	88	99	70	85	99	95	89	CAN	53	3	1,323,000$

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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	GT	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	FW	S1	S2	S3
1	Patrick Kane	Flyers	LW/RW	14	12	7	19	0	2	0	15	13	74	10	23	16.22%	7	294	21.02	4	2	6	16	34	0	13	0	2	23.81%	42	13	3	1	1.29	0	1	0	3	0	0
2	Leon Draisaitl	Flyers	C/LW	14	5	13	18	-1	12	0	21	19	53	14	30	9.43%	7	297	21.27	2	5	7	6	34	0	17	1	0	57.22%	388	10	6	0	1.21	0	1	0	1	2	0
3	Vincent Trocheck	Flyers	C/LW/RW	14	4	7	11	8	8	0	25	14	44	13	21	9.09%	5	238	17.03	0	0	0	1	22	1	6	3	0	51.76%	199	5	7	0	0.92	0	1	0	1	0	2
4	Filip Forsberg	Flyers	LW/RW	14	4	7	11	1	0	0	33	8	32	6	25	12.50%	8	283	20.22	1	4	5	4	34	0	7	1	0	25.93%	27	8	3	0	0.78	0	1	0	0	2	0
5	Justin Faulk	Flyers	D	14	0	7	7	-1	12	0	26	22	29	5	6	0.00%	16	345	24.69	0	0	0	2	35	0	16	0	0	0.00%	0	4	13	0	0.41	0	0	0	0	0	1
6	Casey Cizikas	Flyers	C/LW	14	3	3	6	-1	2	0	23	25	23	10	18	13.04%	7	207	14.81	0	0	0	0	11	1	18	1	0	48.05%	77	7	2	0	0.58	1	1	0	1	0	0
7	Calle Jarnkrok	Flyers	C/LW/RW	14	3	2	5	0	0	0	10	14	20	5	10	15.00%	5	160	11.49	0	0	0	0	1	0	22	0	1	34.88%	43	5	4	0	0.62	0	0	0	0	2	0
8	Scott Laughton	Flyers	C/LW/RW	14	2	3	5	-1	9	5	13	10	18	2	12	11.11%	4	173	12.39	0	0	0	0	3	0	8	0	0	36.36%	22	5	3	0	0.58	0	0	1	0	0	0
9	Kevin Fiala	Flyers	LW/RW	14	3	2	5	-5	0	0	2	8	28	12	22	10.71%	3	138	9.87	0	0	0	0	0	0	0	0	0	33.33%	6	6	2	0	0.72	0	0	0	0	0	0
10	Brandon Montour	Flyers	D	14	1	3	4	-6	2	0	15	23	22	8	2	4.55%	20	302	21.64	0	1	1	1	23	0	9	0	0	0.00%	0	5	9	0	0.26	0	0	0	0	0	0
11	Rasmus Ristolainen	Flyers	D	14	0	3	3	3	10	0	26	31	12	12	9	0.00%	19	329	23.50	0	0	0	2	32	0	16	0	0	0.00%	0	1	17	0	0.18	0	0	0	0	0	0
12	Travis Konecny	Flyers	C/LW/RW	14	0	3	3	-1	0	0	19	12	32	18	22	0.00%	3	199	14.28	0	0	0	0	5	0	9	0	0	27.59%	29	13	1	0	0.30	0	0	0	0	0	0
13	Brendan Perlini	Flyers	LW/RW	9	1	2	3	-2	0	0	2	2	13	4	7	7.69%	2	72	8.10	0	0	0	0	0	0	0	0	0	0.00%	2	5	1	0	0.82	0	0	0	0	0	1
14	Sean Kuraly	Flyers	C/LW	14	1	2	3	0	2	0	9	15	10	6	7	10.00%	4	119	8.50	0	0	0	0	0	0	7	0	1	58.82%	34	1	3	0	0.50	0	0	0	0	0	1
15	Mike Matheson	Flyers	D	14	0	2	2	-2	6	0	16	18	15	3	5	0.00%	16	298	21.33	0	0	0	0	19	0	25	0	0	0.00%	0	2	13	0	0.13	0	0	0	0	0	0
16	Kevin Labanc	Flyers	LW/RW	5	1	0	1	0	0	0	7	4	7	1	7	14.29%	0	78	15.68	0	0	0	0	6	0	0	0	0	20.00%	5	4	0	0	0.26	0	0	0	0	0	0
17	T.J. Brodie	Flyers	D	10	0	1	1	4	0	0	4	7	4	3	4	0.00%	5	136	13.64	0	0	0	0	0	0	8	0	0	0.00%	0	0	5	0	0.15	0	0	0	0	0	0
18	Jakub Vrana	Flyers	LW/RW	14	1	0	1	0	2	0	11	8	18	7	12	5.56%	8	214	15.35	0	0	0	1	19	0	0	1	0	11.11%	9	11	1	0	0.09	0	0	0	0	0	1
19	Nikita Zadorov	Flyers	D	11	0	0	0	0	17	5	12	12	9	4	0	0.00%	7	148	13.52	0	0	0	0	0	0	13	0	0	0.00%	0	0	6	0	0.00	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				245	41	67	108	-4	84	10	289	265	463	143	242	8.86%	146	4040	16.49	7	12	19	33	285	2	201	7	4	49.15%	883	105	99	1	0.53	1	5	1	6	6	6

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2
1	Matt Murray	Flyers	9	4	4	0.905	3.09	505	26	274	108	0	1.000	5	9	5	1	1
2	Casey DeSmith	Flyers	3	3	0	0.926	2.33	180	7	95	42	1	0.000	0	3	6	0	0
3	Ilya Samsonov	Philadelphia Phantoms (PHI)	2	1	1	0.921	2.52	119	5	63	36	0	0.000	0	2	0	0	0
4	Tristan Jarry	Philadelphia Phantoms (PHI)	1	0	1	0.857	7.14	42	5	35	26	0	0.000	0	0	3	0	0
Stats d'équipe Total ou en Moyenne			15	8	6	0.908	3.05	847	43	467	212	1	1.000	5	14	14	1	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Brandon Montour	Flyers	D	24	1994-04-11	No	192 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	3,048,750$	0$	0$	No	Lien
Brendan Perlini	Flyers	LW/RW	22	1996-04-27	No	212 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	874,125$	0$	0$	No	Lien
Calle Jarnkrok	Flyers	C/LW/RW	26	1991-09-25	No	186 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	2,000,000$	0$	0$	No	Lien
Casey Cizikas	Flyers	C/LW	27	1991-02-27	No	200 Lbs	5 ft11	No	No	No	2	Avec Restriction	Pro & Farm	1,675,000$	0$	0$	No	Lien
Casey DeSmith	Flyers	G	26	1991-08-12	No	181 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	1,250,000$	0$	0$	No	Lien
Filip Forsberg	Flyers	LW/RW	23	1994-08-13	No	205 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	6,000,000$	0$	0$	No	Lien
Jakub Vrana	Flyers	LW/RW	22	1996-02-28	No	197 Lbs	6 ft0	No	No	No	2	Contrat d'Entrée	Pro & Farm	3,350,000$	0$	0$	No	Lien
Justin Faulk	Flyers	D	26	1992-03-20	No	215 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	4,833,333$	0$	0$	No	Lien
Kevin Fiala	Flyers	LW/RW	21	1996-07-22	No	193 Lbs	5 ft10	No	No	No	2	Contrat d'Entrée	Pro & Farm	3,000,000$	0$	0$	No	Lien
Kevin Labanc	Flyers	LW/RW	22	1995-12-12	No	185 Lbs	5 ft11	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,000,000$	0$	0$	No	Lien
Leon Draisaitl	Flyers	C/LW	22	1995-10-26	No	215 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	8,500,000$	0$	0$	No	Lien
Matt Murray	Flyers	G	24	1994-05-24	No	178 Lbs	6 ft4	No	No	No	1	Contrat d'Entrée	Pro & Farm	3,750,000$	0$	0$	No	Lien
Mike Matheson	Flyers	D	24	1994-02-27	No	192 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	4,875,000$	0$	0$	No	Lien
Nikita Zadorov	Flyers	D	23	1995-04-15	No	230 Lbs	6 ft5	No	No	No	1	Contrat d'Entrée	Pro & Farm	3,200,000$	0$	0$	No	Lien
Patrick Kane	Flyers	LW/RW	29	1988-11-19	No	177 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	10,500,000$	0$	0$	No	Lien
Rasmus Ristolainen	Flyers	D	23	1994-10-27	No	218 Lbs	6 ft4	No	No	No	2	Contrat d'Entrée	Pro & Farm	5,400,000$	0$	0$	No	Lien
Ryan Hitchcock	Flyers	C/LW	22	1996-03-30	No	176 Lbs	5 ft10	No	No	No	0	Contrat d'Entrée	Pro & Farm		0$	0$	No	Lien
Scott Laughton	Flyers	C/LW/RW	24	1994-05-29	No	190 Lbs	6 ft1	No	No	No	2	Contrat d'Entrée	Pro & Farm	2,300,000$	0$	0$	No	Lien
Sean Kuraly	Flyers	C/LW	25	1993-01-20	No	213 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	1,275,000$	0$	0$	No	Lien
T.J. Brodie	Flyers	D	28	1990-06-06	No	182 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	4,650,000$	0$	0$	No	Lien
Travis Konecny	Flyers	C/LW/RW	21	1997-03-11	No	175 Lbs	5 ft10	No	No	No	4	Contrat d'Entrée	Pro & Farm	5,500,000$	0$	0$	No	Lien
Vincent Trocheck	Flyers	C/LW/RW	24	1993-07-11	No	182 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	4,750,000$	0$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	24.00	195 Lbs	6 ft1	1.68	3,715,055$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
81,731,208$	47,775,000$	11,625,000$	5,500,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Filip Forsberg	Leon Draisaitl	Patrick Kane	34	0	2	3
2	Jakub Vrana	Vincent Trocheck	Travis Konecny	31	0	2	3
3	Scott Laughton	Casey Cizikas	Kevin Labanc	25	1	2	2
4	Kevin Fiala	Sean Kuraly	Calle Jarnkrok	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Montour	Rasmus Ristolainen	40	1	2	2
2	Justin Faulk	Mike Matheson	35	1	2	2
3	Nikita Zadorov	T.J. Brodie	25	1	4	0
4	Justin Faulk	Brandon Montour	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Patrick Kane	Leon Draisaitl	Filip Forsberg	55	0	0	5
2	Jakub Vrana	Vincent Trocheck	Travis Konecny	45	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Montour	Rasmus Ristolainen	55	0	1	4
2	Justin Faulk	Mike Matheson	45	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Calle Jarnkrok	Casey Cizikas	55	1	4	0
2	Scott Laughton	Sean Kuraly	45	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mike Matheson	Justin Faulk	55	1	4	0
2	T.J. Brodie	Nikita Zadorov	45	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Casey Cizikas	55	0	5	0	Mike Matheson	Justin Faulk	55	0	5	0
2	Scott Laughton	45	0	5	0	Nikita Zadorov	T.J. Brodie	45	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Leon Draisaitl	Patrick Kane	55	1	2	2
2	Vincent Trocheck	Filip Forsberg	45	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Brandon Montour	55	1	2	2
2	Justin Faulk	Mike Matheson	45	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Filip Forsberg	Leon Draisaitl	Patrick Kane	Justin Faulk	Rasmus Ristolainen

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Casey Cizikas	Vincent Trocheck	Patrick Kane	Rasmus Ristolainen	Mike Matheson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Calle Jarnkrok, Jakub Vrana, Scott Laughton	Travis Konecny, Jakub Vrana	Calle Jarnkrok

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nikita Zadorov, T.J. Brodie, Rasmus Ristolainen	Nikita Zadorov	Justin Faulk, T.J. Brodie

Tirs de Pénalité
Patrick Kane, Leon Draisaitl, Jakub Vrana, Vincent Trocheck, Casey Cizikas

Gardien
#1 : Matt Murray, #2 : Casey DeSmith

Lignes d'Attaque Perso. en Prol.
Patrick Kane, Leon Draisaitl, Filip Forsberg, Vincent Trocheck, Casey Cizikas, Scott Laughton, Scott Laughton, Kevin Fiala, Jakub Vrana, Calle Jarnkrok, Sean Kuraly

Lignes de Défense Perso. en Prol.
Justin Faulk, Brandon Montour, T.J. Brodie, Mike Matheson, Nikita Zadorov

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	Canucks	2	0	1	0	1	0	0	0	5	6	-1	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	5	8	13	0	0	1	1	2	1	64	24	29	9	2	70	23	6	40	4	2	50.00%	3	0	100.00%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	42	24	44	18	35	16
2	Kings	2	1	0	0	0	0	1	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	4	1.000	6	8	14	0	0	0	2	3	1	64	21	19	21	8	69	24	8	54	3	1	33.33%	4	1	75.00%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	43	25	47	17	34	17
3	Nordiques	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	4	2	2	4	1.000	9	16	25	0	0	1	3	5	0	73	15	30	28	0	53	28	8	39	7	1	14.29%	4	1	75.00%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	43	23	39	18	36	19
4	Panthers	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	6	9	15	0	0	0	4	2	0	81	25	27	29	0	69	13	8	32	4	0	0.00%	4	0	100.00%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	46	29	40	15	32	16
5	Penguins	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	12	20	0	0	4	2	2	0	59	18	17	24	0	69	14	14	35	8	1	12.50%	6	2	66.67%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	43	24	41	18	35	18
6	Sabres	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	3	6	9	0	0	1	0	2	0	65	31	13	21	0	60	27	12	48	4	1	25.00%	6	2	66.67%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	45	26	38	17	35	17
7	Senateurs	2	0	2	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	4	9	-5	0	0.000	5	9	14	0	0	1	0	4	0	64	26	15	23	0	77	18	26	47	5	1	20.00%	5	3	40.00%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	43	24	40	16	35	18
	Total	14	6	6	0	1	0	1	0	42	43	-1	7	4	2	0	1	0	0	0	20	15	5	7	2	4	0	0	0	1	0	22	28	-6	16	0.571	42	68	110	0	0	8	12	20	2	470	160	150	155	10	467	147	82	295	35	7	20.00%	32	9	71.88%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	309	180	292	122	245	124
	_Since Last GM Reset	14	6	6	0	1	0	1	0	42	43	-1	7	4	2	0	1	0	0	0	20	15	5	7	2	4	0	0	0	1	0	22	28	-6	16	0.571	42	68	110	0	0	8	12	20	2	470	160	150	155	10	467	147	82	295	35	7	20.00%	32	9	71.88%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	309	180	292	122	245	124
	_Vs Conference	14	6	6	0	1	0	1	0	42	43	-1	7	4	2	0	1	0	0	0	20	15	5	7	2	4	0	0	0	1	0	22	28	-6	16	0.571	42	68	110	0	0	8	12	20	2	470	160	150	155	10	467	147	82	295	35	7	20.00%	32	9	71.88%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	309	180	292	122	245	124
	_Vs Division	14	6	6	0	1	0	1	0	42	43	-1	7	4	2	0	1	0	0	0	20	15	5	7	2	4	0	0	0	1	0	22	28	-6	16	0.571	42	68	110	0	0	8	12	20	2	470	160	150	155	10	467	147	82	295	35	7	20.00%	32	9	71.88%	0	160	323	49.54%	167	341	48.97%	107	212	50.47%	309	180	292	122	245	124

			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
14	16	L1	42	68	110	470	467	147	82	295	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	6	6	1	0	1	0	42	43

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	2	1	0	0	0	20	15

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	4	0	0	1	0	22	28

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	5	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
35	7	20.00%	32	9	71.88%	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
160	150	155	10	8	12	20	2

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
160	323	49.54%	167	341	48.97%	107	212	50.47%

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
309	180	292	122	245	124

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	Lien
1 - 2019-09-22	11	Flyers	3	Kings	2	W	X	X	Sommaire du Match
2 - 2019-09-23	19	Senateurs	3	Flyers	1	L			Sommaire du Match
3 - 2019-09-24	35	Flyers	5	Penguins	3	W			Sommaire du Match
4 - 2019-09-25	50	Canucks	2	Flyers	3	W	X		Sommaire du Match
5 - 2019-09-26	66	Panthers	2	Flyers	4	W			Sommaire du Match
7 - 2019-09-28	81	Flyers	2	Canucks	4	L			Sommaire du Match
8 - 2019-09-29	92	Flyers	4	Nordiques	2	W			Sommaire du Match
9 - 2019-09-30	108	Nordiques	2	Flyers	5	W			Sommaire du Match
10 - 2019-10-01	117	Flyers	2	Panthers	3	L			Sommaire du Match
11 - 2019-10-02	137	Penguins	1	Flyers	3	W			Sommaire du Match
12 - 2019-10-03	150	Flyers	4	Senateurs	9	L			Sommaire du Match
14 - 2019-10-05	162	Flyers	2	Sabres	5	L			Sommaire du Match
15 - 2019-10-06	176	Kings	2	Flyers	3	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
19 - 2019-10-10	207	Sabres	3	Flyers	1	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	95	54	33	22	165
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$	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$	81,731,208$	42,432,083$	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$	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$	23,663,855$	23,663,855$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Patrick Kane	AGE:29	PO:87	OV:80
Leon Draisaitl	AGE:22	PO:88	OV:79
Filip Forsberg	AGE:23	PO:82	OV:74
Vincent Trocheck	AGE:24	PO:77	OV:73
Casey Cizikas	AGE:27	PO:77	OV:71
Travis Konecny	AGE:21	PO:76	OV:69
Scott Laughton	AGE:24	PO:73	OV:69
Jakub Vrana	AGE:22	PO:75	OV:68
Kevin Labanc	AGE:22	PO:73	OV:68
Calle Jarnkrok	AGE:26	PO:70	OV:67
Kevin Fiala	AGE:21	PO:70	OV:66
Sean Kuraly	AGE:25	PO:68	OV:66
Brendan Perlini	AGE:22	PO:70	OV:65
Zac Dalpe	AGE:28	PO:70	OV:64
Joshua Ho-Sang	AGE:22	PO:65	OV:62
Warren Foegele	AGE:22	PO:66	OV:61
Dryden Hunt	AGE:22	PO:65	OV:61
A.J. Greer	AGE:21	PO:60	OV:57
Dennis Yan	AGE:21	PO:60	OV:57
*Ty Lewis	AGE:20	PO:60	OV:57
*Ryan Kuffner	AGE:22	PO:58	OV:54
*Givani Smith	AGE:20	PO:53	OV:53
Ryan Hitchcock	AGE:22	PO:53	OV:52

Leon Draisaitl	AGE:22	PO:88	OV:79
Vincent Trocheck	AGE:24	PO:77	OV:73
Casey Cizikas	AGE:27	PO:77	OV:71
Travis Konecny	AGE:21	PO:76	OV:69
Scott Laughton	AGE:24	PO:73	OV:69
Calle Jarnkrok	AGE:26	PO:70	OV:67
Sean Kuraly	AGE:25	PO:68	OV:66
Zac Dalpe	AGE:28	PO:70	OV:64
Joshua Ho-Sang	AGE:22	PO:65	OV:62
*Martin Necas	AGE:19	PO:65	OV:61
Lias Andersson	AGE:19	PO:64	OV:61
*German Rubtsov	AGE:20	PO:66	OV:60
Jon Martin	AGE:22	PO:60	OV:58
Ryan Hitchcock	AGE:22	PO:53	OV:52
*Hudson Elynuik	AGE:20	PO:52	OV:51

Patrick Kane	AGE:29	PO:87	OV:80
Filip Forsberg	AGE:23	PO:82	OV:74
Vincent Trocheck	AGE:24	PO:77	OV:73
Travis Konecny	AGE:21	PO:76	OV:69
Scott Laughton	AGE:24	PO:73	OV:69
Jakub Vrana	AGE:22	PO:75	OV:68
Kevin Labanc	AGE:22	PO:73	OV:68
Calle Jarnkrok	AGE:26	PO:70	OV:67
Kevin Fiala	AGE:21	PO:70	OV:66
Brendan Perlini	AGE:22	PO:70	OV:65
Zac Dalpe	AGE:28	PO:70	OV:64
Dale Weise	AGE:29	PO:66	OV:63
Joshua Ho-Sang	AGE:22	PO:65	OV:62
*Martin Necas	AGE:19	PO:65	OV:61
*Max Veronneau	AGE:22	PO:65	OV:58
Jon Martin	AGE:22	PO:60	OV:58
A.J. Greer	AGE:21	PO:60	OV:57
*Givani Smith	AGE:20	PO:53	OV:53

Défense #1

Défense #2

Gardien

Rasmus Ristolainen	AGE:23	PO:71	OV:77
Justin Faulk	AGE:26	PO:70	OV:74
Brandon Montour	AGE:24	PO:69	OV:73
Mike Matheson	AGE:24	PO:67	OV:72
T.J. Brodie	AGE:28	PO:67	OV:71
Nikita Zadorov	AGE:23	PO:64	OV:70

*Dennis Cholowski	AGE:20	PO:63	OV:62
*Juuso Valimaki	AGE:19	PO:60	OV:62
*Jake Bean	AGE:20	PO:62	OV:61
Dean Kukan	AGE:24	PO:58	OV:59
Dakota Mermis	AGE:24	PO:54	OV:59
Emil Johansson	AGE:22	PO:52	OV:57

Matt Murray	AGE:24	PO:82	OV:76
Casey DeSmith	AGE:26	PO:77	OV:71
Alex Lyon	AGE:25	PO:62	OV:61
Tristan Jarry	AGE:23	PO:62	OV:61
Oscar Dansk	AGE:24	PO:61	OV:61
*Connor LaCouvee	AGE:24	PO:60	OV:59
*Kevin Lankinen	AGE:23	PO:59	OV:58
*Ilya Samsonov	AGE:21	PO:54	OV:56
Hunter Miska	AGE:22	PO:52	OV:52

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 Ginning	Flyers	2018	51
Alec Dillon	Flyers	2014	168
Alec Regula	Flyers	2018	80
Alexander Campbell	Flyers	2019	72
Arsen Khisamutdinov	Flyers	2019	192
Cayden Primeau	Flyers	2017	148
Chase Priskie	Flyers	2016	203
Dmitri Zhukenov	Flyers	2015	180
Dylan Cozens	Flyers	2019	8
Filip Johansson	Flyers	2018	43
Gabriel Vilardi	Flyers	2017	12
Grant Mismash	Flyers	2017	49
JOHN DAHLSTROM	Flyers	2015	202
JOHN MARINO	Flyers	2015	191
Jack Gorniak	Flyers	2018	116
Jackson LaCombe	Flyers	2019	42
Jesper Boqvist	Flyers	2017	37
Jiri Patera	Flyers	2017	163
Joey Keane	Flyers	2018	111
Jonathan Diaby	Flyers
Josh HoSang	Flyers	2014	25
Judd Peterson	Flyers	2012	204
Logan Neaton	Flyers	2019	162
MacKenzie Entwistle	Flyers	2017	76
Marcus Davidsson	Flyers	2017	45
Matej Paulovic	Flyers	2013	150
Patrik Puistola	Flyers	2019	56
Pontus Sjalin	Flyers	2014	175
Raphael Lavoie	Flyers	2019	27
Roman Durny	Flyers	2018	170
Ronnie Attard	Flyers	2019	102
Ryan Merkley	Flyers	2018	25
Tyler Madden	Flyers	2018	81
Tyler Nanne	Flyers	2014	165
Vladislav Firstov	Flyers	2019	39
Vladislav Kolyachonok	Flyers	2019	55
Wade Allison	Flyers	2016	65
Yegor Zaitsev	Flyers	2017	199

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020	PHI VGK	PHI	PHI		PHI	PHI	MIW PHI	PHI
2021	PHI	PHI		PHI	PHI	PHI	PHI	PHI
2022	PHI	PHI	PHI	PHI	PHI	PHI	PHI	PHI
2023	PHI	PHI	PHI	PHI	PHI	PHI	PHI	PHI
2024	PHI	PHI	PHI	PHI	PHI	PHI	PHI	PHI

[2019-09-30 18:13:44] - TRADE : From Flyers to Devils : Neal Pionk (72), Brandon Carlo (71).
[2019-09-30 18:13:44] - TRADE : From Devils to Flyers : Rasmus Ristolainen (77), Max Veronneau (58).
[2019-09-22 11:44:37] - Kevin Fiala signed with Flyers for 3 000 000 $ for 2 year(s).
[2019-09-22 11:44:37] - Kevin Fiala was added to Flyers.
[2019-09-22 11:34:36] - TRADE : From Wild to Flyers : Nikita Zadorov (70), Y:2020-RND:7-MIW.
[2019-09-22 11:34:36] - TRADE : From Flyers to Wild : Alexandre Carrier (61), Y:2021-RND:3-PHI.
[2019-09-08 15:33:35] - Philadelphia Phantoms hired Lindy Ruff for 60 000 $ for 3 year(s).
[2019-08-25 00:08:26] - Flyers drafts Arsen Khisamutdinov as the #192 overall pick in the Entry Draft of year 2019.
[2019-08-07 11:59:12] - Flyers drafts Logan Neaton as the #162 overall pick in the Entry Draft of year 2019.
[2019-08-07 11:43:53] - Flyers hired Barry Trotz for 1 323 000 $ for 3 year(s).
[2019-08-07 11:43:20] - TRADE : From Flyers to Kings : Y:2020-RND:4-PHI.
[2019-07-22 11:14:26] - Flyers drafts Ronnie Attard as the #102 overall pick in the Entry Draft of year 2019.
[2019-07-22 11:10:29] - Nicolas Kerdiles has been deleted from Flyers.
[2019-07-22 11:10:14] - Maxim Kitsyn has been deleted from Flyers.
[2019-07-22 11:09:55] - Jordan Maletta has been deleted from Flyers.
[2019-07-15 09:55:46] - Flyers drafts Alexander Campbell as the #72 overall pick in the Entry Draft of year 2019.
[2019-07-09 20:17:27] - Flyers drafts Patrik Puistola as the #56 overall pick in the Entry Draft of year 2019.
[2019-07-09 20:17:11] - Flyers drafts Vladislav Kolyachonok as the #55 overall pick in the Entry Draft of year 2019.
[2019-07-07 21:06:51] - Connor LaCouvee was added to Flyers.
[2019-07-06 21:13:53] - Flyers drafts Jackson LaCombe as the #42 overall pick in the Entry Draft of year 2019.
[2019-07-06 21:13:07] - Flyers drafts Vladislav Firstov as the #39 overall pick in the Entry Draft of year 2019.
[2019-07-06 21:07:59] - Flyers drafts Raphael Lavoie as the #27 overall pick in the Entry Draft of year 2019.
[2019-07-06 20:59:17] - Flyers drafts Dylan Cozens as the #8 overall pick in the Entry Draft of year 2019.
[2019-06-26 20:08:04] - Ty Lewis was added to Flyers.

[2019-10-03 19:04:56] Successfully loaded Flyers lines done with STHS Client - 3.1.9.9
[2019-10-02 19:24:24] Successfully loaded Flyers lines done with STHS Client - 3.1.9.9
[2019-10-02 19:24:24] Tristan Jarry of Flyers was sent to farm.
[2019-10-01 18:23:56] Max Veronneau from Philadelphia Phantoms has scored a Hat Trick!
[2019-10-01 18:23:51] Auto Lines Farm Function has been run for Philadelphia Phantoms.
[2019-10-01 18:23:51] Auto Lines Function has been run for Flyers.
[2019-10-01 18:21:36] Auto Lines Farm Function has been run for Philadelphia Phantoms.
[2019-09-30 18:18:13] Auto Lines Function has been run for Flyers.
[2019-09-30 18:15:54] Auto Lines Function has been run for Flyers.
[2019-09-30 18:15:52] Successfully loaded Flyers lines done with STHS Client - 3.1.9.9
[2019-09-30 18:15:50] Ilya Samsonov of Flyers was sent to farm.
[2019-09-30 18:15:50] Tristan Jarry of Flyers was sent to pro.
[2019-09-30 18:13:44] TRADE : From Flyers to Devils : Neal Pionk (72), Brandon Carlo (71).
[2019-09-30 18:13:44] TRADE : From Devils to Flyers : Rasmus Ristolainen (77), Max Veronneau (58).
[2019-09-27 13:20:03] Successfully loaded Flyers lines done with STHS Client - 3.1.9.9
[2019-09-27 13:20:03] Ilya Samsonov of Flyers was sent to pro.
[2019-09-26 16:12:26] Joshua Ho-Sang from Philadelphia Phantoms has scored a Hat Trick!
[2019-09-26 16:09:40] Successfully loaded Flyers lines done with STHS Client - 3.1.9.9

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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