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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	Mika Zibanejad	X				100.00	82	41	77	80	83	87	95	78	86	81	79	80	82	71	73	84	47	84	0
2	Sebastian Aho	X				100.00	65	38	85	78	70	86	95	77	80	85	79	81	76	63	69	74	47	83	0
3	Elias Pettersson	X				100.00	59	36	90	82	76	84	83	80	75	81	82	63	84	61	66	88	47	81	0
4	Jakub Voracek			X		100.00	53	38	85	81	83	84	91	82	54	83	73	52	78	80	72	69	47	80	0
5	James van Riemsdyk		X			100.00	58	37	87	76	87	81	79	75	53	73	82	54	80	78	74	73	47	79	0
6	Jake DeBrusk		X	X		100.00	63	37	87	75	72	81	82	74	53	70	81	62	78	65	67	83	47	77	0
7	Travis Konecny			X		100.00	65	49	82	78	65	79	95	76	52	73	75	61	77	63	65	81	47	76	0
8	Clayton Keller	X	X	X		100.00	53	38	86	81	64	83	95	79	57	77	66	53	82	61	66	87	47	75	0
9	Alexander Steen		X	X		100.00	67	37	88	68	77	81	78	67	54	71	65	85	66	85	75	42	47	74	0
10	Nick Bonino	X				100.00	54	37	88	69	77	81	94	68	81	69	70	85	66	79	72	38	47	74	0
11	Oscar Lindberg		X			100.00	84	40	79	66	78	73	68	66	73	67	66	62	66	75	68	58	47	73	0
12	Valentin Zykov		X	X		100.00	70	40	78	64	78	66	59	63	52	61	62	58	65	67	64	74	47	68	0
13	Mark Giordano				X	100.00	64	49	68	76	77	91	92	74	30	90	77	95	60	86	93	25	47	83	0
14	Brian Dumoulin				X	100.00	84	37	87	64	88	87	89	64	30	75	57	91	50	75	68	59	47	78	0
15	Jaccob Slavin				X	100.00	66	37	88	69	85	87	95	68	30	76	66	88	57	69	66	56	47	77	0
16	Darnell Nurse				X	100.00	85	61	64	70	91	92	94	68	30	79	69	77	56	67	65	85	47	76	0
17	Ian Cole				X	100.00	82	68	56	63	81	85	84	62	30	71	56	89	54	78	70	66	47	76	0
18	Thomas Chabot				X	100.00	73	39	81	78	80	91	83	77	30	86	76	68	61	63	64	83	47	74	0
Rayé
1	Cody Eakin	X				100.00	76	37	89	72	73	79	88	71	82	70	75	80	74	75	71	53	46	74	0
2	Troy Stecher				X	100.00	77	39	82	64	68	85	91	63	30	74	56	80	49	69	65	42	46	72	0

	MOYENNE D'ÉQUIPE					100.00	69	42	81	73	78	83	87	72	53	76	71	73	68	72	70	66	47	77

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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	David Rittich	99.00	90	91	89	85	89	88	90	89	88	90	89	73	77	42	47	84	0
2	Antti Raanta	100.00	77	72	70	73	76	75	77	76	75	77	76	78	84	39	47	74	0
Rayé

	MOYENNE D'ÉQUIPE	99.50	84	82	80	79	83	82	84	83	82	84	83	76	81	41	47	79

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Bruce Cassidy	82	93	87	79	80	74	69	CAN	53	3	4,000,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSS	S1	S2	S3
1	Jakub Voracek	Flyers	RW	4	3	5	8	0	2	4	1	20	6	11	15.00%	1	78	19.51	2	1	3	4	12	0	0	0	0	25.00%	4	4	0	2.05	1	0	1	0
2	Elias Pettersson	Flyers	C	4	4	3	7	-1	2	6	6	17	5	9	23.53%	1	77	19.28	1	2	3	6	12	0	0	0	1	59.57%	94	2	1	1.82	1	1	0	0
3	Sebastian Aho	Flyers	C	4	2	2	4	1	0	7	6	12	2	6	16.67%	0	63	15.78	1	0	1	6	11	0	0	0	0	41.94%	62	2	0	1.27	0	1	0	0
4	Clayton Keller	Flyers	C/LW/RW	4	0	2	2	0	0	3	1	8	1	7	0.00%	2	61	15.32	0	1	1	2	11	0	3	0	0	44.44%	9	6	0	0.65	1	0	0	0
5	Mark Giordano	Flyers	D	4	0	2	2	0	2	4	10	7	9	1	0.00%	3	105	26.42	0	1	1	2	16	0	12	0	0	0.00%	0	0	5	0.38	0	0	0	0
6	Alexander Steen	Flyers	LW/RW	4	1	0	1	0	0	2	5	5	2	2	20.00%	2	61	15.32	0	0	0	0	0	2	12	1	0	66.67%	3	0	1	0.33	0	0	0	1
7	Darnell Nurse	Flyers	D	4	0	1	1	1	6	1	6	2	0	1	0.00%	5	56	14.17	0	0	0	0	7	0	0	0	0	0.00%	0	0	3	0.35	0	0	0	0
8	Jake DeBrusk	Flyers	LW/RW	4	1	0	1	1	0	4	3	8	0	4	12.50%	2	68	17.02	0	0	0	2	11	0	3	0	0	50.00%	2	2	1	0.29	0	0	0	0
9	James van Riemsdyk	Flyers	LW	4	0	1	1	-1	2	3	4	3	1	4	0.00%	1	77	19.34	0	0	0	2	12	0	0	0	0	75.00%	8	2	0	0.26	0	0	0	0
10	Mika Zibanejad	Flyers	C	4	1	0	1	1	0	8	4	12	4	5	8.33%	1	53	13.32	0	0	0	0	0	0	4	0	0	51.43%	35	1	1	0.38	1	0	0	0
11	Travis Konecny	Flyers	RW	4	0	1	1	1	6	2	5	6	3	7	0.00%	1	51	12.92	0	0	0	0	0	0	0	0	0	50.00%	2	1	1	0.39	0	0	0	0
12	Brian Dumoulin	Flyers	D	4	0	0	0	-1	2	5	4	7	0	1	0.00%	6	85	21.39	0	0	0	0	0	0	12	0	0	0.00%	0	0	5	0.00	0	0	0	0
13	Ian Cole	Flyers	D	4	0	0	0	1	4	1	3	3	2	2	0.00%	4	54	13.54	0	0	0	0	0	0	6	0	0	0.00%	0	0	0	0.00	0	0	0	0
14	Jaccob Slavin	Flyers	D	4	0	0	0	-2	0	4	17	11	3	1	0.00%	9	97	24.43	0	0	0	0	7	0	7	0	0	0.00%	0	1	1	0.00	0	0	0	0
15	Nick Bonino	Flyers	C	4	0	0	0	-1	2	1	5	7	1	4	0.00%	2	46	11.60	0	0	0	0	0	0	11	0	0	44.74%	38	1	0	0.00	0	0	0	0
16	Oscar Lindberg	Flyers	LW	4	0	0	0	-1	0	3	1	3	1	1	0.00%	1	37	9.28	0	0	0	0	0	1	4	0	0	100.00%	4	0	0	0.00	0	0	0	0
17	Thomas Chabot	Flyers	D	4	0	0	0	1	0	1	6	11	2	3	0.00%	3	85	21.30	0	0	0	3	16	0	3	0	0	0.00%	0	6	0	0.00	0	0	0	0
18	Valentin Zykov	Flyers	LW/RW	4	0	0	0	-1	2	0	1	4	0	0	0.00%	0	31	7.86	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0.00	0	0	0	0
Stats d'équipe Total ou en Moyenne				72	12	17	29	-1	30	59	88	146	42	69	8.22%	44	1191	16.54	4	5	9	27	122	3	83	1	1	52.11%	261	28	20	0.49	4	2	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 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	David Rittich	Flyers	4	1	2	1	0.899	3.21	243	0	0	13	129	51	0	0	0.750	4	4	0	0	0	0
Stats d'équipe Total ou en Moyenne			4	1	2	1	0.899	3.21	243	0	0	13	129	51	0	0	0.750	4	4	0	0	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	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
Alexander Steen	Flyers	LW/RW	33	1984-03-01	No	211 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	5,750,000$	5,750,000$	5,415,344$	No	Lien
Antti Raanta	Flyers	G	28	1989-05-12	No	195 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	4,250,000$	4,250,000$	4,002,646$	No	Lien
Brian Dumoulin	Flyers	D	26	1991-09-06	No	207 Lbs	6 ft4	No	No	No	4	Contrat d'Entrée	Pro & Farm	4,100,000$	4,100,000$	3,861,376$	No	Lien
Clayton Keller	Flyers	C/LW/RW	19	1998-07-29	No	170 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	885,833$	885,833$	834,277$	No	Lien
Cody Eakin	Flyers	C	26	1991-05-24	No	190 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	3,850,000$	3,850,000$	3,625,926$	No	Lien
Darnell Nurse	Flyers	D	22	1995-02-04	No	221 Lbs	6 ft4	No	No	No	1	Contrat d'Entrée	Pro & Farm	3,200,000$	3,200,000$	3,013,757$	No	Lien
David Rittich	Flyers	G	25	1992-08-19	No	206 Lbs	6 ft3	No	No	No	2	Contrat d'Entrée	Pro & Farm	2,750,000$	2,750,000$	2,589,947$	No	Lien
Elias Pettersson	Flyers	C	18	1998-11-12	No	176 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	706,349$	No	Lien
Ian Cole	Flyers	D	28	1989-02-21	No	219 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	4,250,000$	4,250,000$	4,002,646$	No	Lien
Jaccob Slavin	Flyers	D	23	1994-05-01	No	207 Lbs	6 ft3	No	No	No	6	Contrat d'Entrée	Pro & Farm	5,300,000$	5,300,000$	4,991,534$	No	Lien
Jake DeBrusk	Flyers	LW/RW	20	1996-10-17	No	188 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	863,333$	863,333$	813,086$	No	Lien
Jakub Voracek	Flyers	RW	28	1989-08-15	No	214 Lbs	6 ft2	No	No	No	5	Sans Restriction	Pro & Farm	8,250,000$	8,250,000$	7,769,841$	No	Lien
James van Riemsdyk	Flyers	LW	28	1989-05-04	No	217 Lbs	6 ft3	No	No	No	4	Sans Restriction	Pro & Farm	7,000,000$	7,000,000$	6,592,593$	No	Lien
Mark Giordano	Flyers	D	33	1983-10-03	No	200 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	6,750,000$	6,750,000$	6,357,143$	No	Lien
Mika Zibanejad	Flyers	C	24	1993-04-18	No	213 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	5,350,000$	5,350,000$	5,038,624$	No	Lien
Nick Bonino	Flyers	C	29	1988-04-20	No	196 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	4,100,000$	4,100,000$	3,861,376$	No	Lien
Oscar Lindberg	Flyers	LW	25	1991-10-29	No	202 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,300,000$	1,300,000$	1,224,339$	No	Lien
Sebastian Aho	Flyers	C	20	1997-07-26	No	176 Lbs	6 ft0	No	No	No	5	Contrat d'Entrée	Pro & Farm	8,454,000$	8,454,000$	7,961,968$	No	Lien
Thomas Chabot	Flyers	D	20	1997-01-30	No	196 Lbs	6 ft2	No	No	No	1	Contrat d'Entrée	Pro & Farm	863,333$	863,333$	813,086$	No	Lien
Travis Konecny	Flyers	RW	20	1997-03-11	No	175 Lbs	5 ft10	No	No	No	5	Contrat d'Entrée	Pro & Farm	5,500,000$	5,500,000$	5,179,894$	No	Lien
Troy Stecher	Flyers	D	23	1994-04-07	No	186 Lbs	5 ft10	No	No	No	1	Contrat d'Entrée	Pro & Farm	2,325,000$	2,325,000$	2,189,683$	No	Lien
Valentin Zykov	Flyers	LW/RW	22	1995-05-15	No	220 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	706,349$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	24.55	199 Lbs	6 ft1	2.41	3,935,977$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
86,591,499$	67,704,000$	50,704,000$	38,604,000$	27,504,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	James van Riemsdyk	Elias Pettersson	Jakub Voracek	35	0	1	4
2	Jake DeBrusk	Sebastian Aho	Travis Konecny	30	1	1	3
3	Alexander Steen	Mika Zibanejad	Clayton Keller	25	1	2	2
4	Oscar Lindberg	Nick Bonino	Valentin Zykov	10	1	3	1

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

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	James van Riemsdyk	Elias Pettersson	Jakub Voracek	60	0	0	5
2	Jake DeBrusk	Sebastian Aho	Clayton Keller	40	0	0	5

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

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nick Bonino	Alexander Steen	60	1	4	0
2	Mika Zibanejad	Oscar Lindberg	40	1	4	0

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

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nick Bonino	60	1	4	0	Mark Giordano	Brian Dumoulin	60	1	4	0
2	Sebastian Aho	40	1	4	0	Jaccob Slavin	Ian Cole	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mika Zibanejad	Jakub Voracek	60	1	1	3
2	Elias Pettersson	James van Riemsdyk	40	1	2	2

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

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
James van Riemsdyk	Elias Pettersson	Jakub Voracek	Mark Giordano	Thomas Chabot

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Oscar Lindberg	Nick Bonino	Alexander Steen	Jaccob Slavin	Brian Dumoulin

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Elias Pettersson, Sebastian Aho, Jakub Voracek	Mika Zibanejad, James van Riemsdyk	Alexander Steen

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mark Giordano, Thomas Chabot, Jaccob Slavin	Darnell Nurse	Thomas Chabot, Darnell Nurse

Tirs de Pénalité
Elias Pettersson, Mika Zibanejad, Clayton Keller, Jakub Voracek, Jake DeBrusk

Gardien
#1 : David Rittich, #2 : Antti Raanta

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Blue Jackets	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	1	1	0	0	35	7	15	13	0	36	14	8	13	3	0	0.00%	4	1	75.00%	0	50	95	52.63%	53	97	54.64%	33	66	50.00%	18	11	23	9	17	8
2	Devils	2	0	1	0	0	0	0	1	6	8	-2	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	2	3	-1	1	0.250	6	7	13	0	0	5	1	0	0	77	41	22	14	4	54	19	14	35	11	4	36.36%	7	3	57.14%	0	50	95	52.63%	53	97	54.64%	33	66	50.00%	46	27	43	19	35	18
3	Penguins	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	1	0	3	0	34	13	11	10	0	39	11	8	11	2	0	0.00%	4	1	75.00%	0	50	95	52.63%	53	97	54.64%	33	66	50.00%	19	11	23	8	17	8
	Total	4	1	2	0	0	0	0	1	12	14	-2	2	0	1	0	0	0	0	1	6	8	-2	2	1	1	0	0	0	0	0	6	6	0	3	0.375	12	17	29	0	0	7	2	3	0	146	61	48	37	4	129	44	30	59	16	4	25.00%	15	5	66.67%	0	50	95	52.63%	53	97	54.64%	33	66	50.00%	84	49	90	37	70	34
	_Since Last GM Reset	4	1	2	0	0	0	0	1	12	14	-2	2	0	1	0	0	0	0	1	6	8	-2	2	1	1	0	0	0	0	0	6	6	0	3	0.375	12	17	29	0	0	7	2	3	0	146	61	48	37	4	129	44	30	59	16	4	25.00%	15	5	66.67%	0	50	95	52.63%	53	97	54.64%	33	66	50.00%	84	49	90	37	70	34
	_Vs Conference	4	1	2	0	0	0	0	1	12	14	-2	2	0	1	0	0	0	0	1	6	8	-2	2	1	1	0	0	0	0	0	6	6	0	3	0.375	12	17	29	0	0	7	2	3	0	146	61	48	37	4	129	44	30	59	16	4	25.00%	15	5	66.67%	0	50	95	52.63%	53	97	54.64%	33	66	50.00%	84	49	90	37	70	34
	_Vs Division	4	1	2	0	0	0	0	1	12	14	-2	2	0	1	0	0	0	0	1	6	8	-2	2	1	1	0	0	0	0	0	6	6	0	3	0.375	12	17	29	0	0	7	2	3	0	146	61	48	37	4	129	44	30	59	16	4	25.00%	15	5	66.67%	0	50	95	52.63%	53	97	54.64%	33	66	50.00%	84	49	90	37	70	34

			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	3	W1	12	17	29	146	129	44	30	59	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	0	0	0	1	12	14

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	0	0	0	1	6	8

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	6	6

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	2	0	0	0	1

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
16	4	25.00%	15	5	66.67%	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
61	48	37	4	7	2	3	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
50	95	52.63%	53	97	54.64%	33	66	50.00%

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
84	49	90	37	70	34

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
3 - 2019-10-06	15	Devils	5	Flyers	4	L	X	X	Sommaire du Match
5 - 2019-10-08	24	Flyers	2	Devils	3	L			Sommaire du Match
7 - 2019-10-10	35	Blue Jackets	3	Flyers	2	L			Sommaire du Match
10 - 2019-10-13	48	Flyers	4	Penguins	3	W			Sommaire du Match
12 - 2019-10-15	58	Bruins	-	Flyers	-
14 - 2019-10-17	69	Flyers	-	Bruins	-
16 - 2019-10-19	80	Penguins	-	Flyers	-
17 - 2019-10-20	86	Flyers	-	Blue Jackets	-
21 - 2019-10-24	104	Islanders	-	Flyers	-
23 - 2019-10-26	112	Flyers	-	Capitals	-
25 - 2019-10-28	126	Capitals	-	Flyers	-
26 - 2019-10-29	129	Flyers	-	Islanders	-
29 - 2019-11-01	149	Flyers	-	Senateurs	-
30 - 2019-11-02	160	Flyers	-	Capitals	-
31 - 2019-11-03	164	Flyers	-	Devils	-
32 - 2019-11-04	168	Devils	-	Flyers	-
36 - 2019-11-08	191	Islanders	-	Flyers	-
40 - 2019-11-12	208	Flyers	-	Maple Leafs	-
42 - 2019-11-14	215	Sharks	-	Flyers	-
46 - 2019-11-18	233	Jets	-	Flyers	-
49 - 2019-11-21	249	Capitals	-	Flyers	-
51 - 2019-11-23	261	Flyers	-	Sharks	-
53 - 2019-11-25	271	Flyers	-	Panthers	-
55 - 2019-11-27	278	Blackhawks	-	Flyers	-
57 - 2019-11-29	291	Flyers	-	Islanders	-
59 - 2019-12-01	303	Flyers	-	Capitals	-
60 - 2019-12-02	308	Predateurs	-	Flyers	-
64 - 2019-12-06	324	Capitals	-	Flyers	-
66 - 2019-12-08	340	Flyers	-	Panthers	-
68 - 2019-12-10	350	Flyers	-	Penguins	-
70 - 2019-12-12	357	Stars	-	Flyers	-
72 - 2019-12-14	372	Blue Jackets	-	Flyers	-
74 - 2019-12-16	383	Flyers	-	Maple Leafs	-
76 - 2019-12-18	391	Flyers	-	Stars	-
78 - 2019-12-20	402	Bruins	-	Flyers	-
79 - 2019-12-21	411	Flyers	-	Penguins	-
82 - 2019-12-24	426	Flyers	-	Jets	-
83 - 2019-12-25	431	Panthers	-	Flyers	-
87 - 2019-12-29	451	Panthers	-	Flyers	-
89 - 2019-12-31	461	Flyers	-	Blackhawks	-
91 - 2020-01-02	474	Penguins	-	Flyers	-
93 - 2020-01-04	488	Flyers	-	Lightning	-
94 - 2020-01-05	495	Flyers	-	Predateurs	-
96 - 2020-01-07	503	Oilers	-	Flyers	-
99 - 2020-01-10	516	Flyers	-	Flames	-
100 - 2020-01-11	526	Avalanche	-	Flyers	-
103 - 2020-01-14	542	Flyers	-	Senateurs	-
104 - 2020-01-15	550	Golden Knights	-	Flyers	-
107 - 2020-01-18	567	Flyers	-	Oilers	-
109 - 2020-01-20	575	Kings	-	Flyers	-
112 - 2020-01-23	585	Flyers	-	Bruins	-
114 - 2020-01-25	599	Blue Jackets	-	Flyers	-
117 - 2020-01-28	617	Blues	-	Flyers	-
119 - 2020-01-30	630	Flyers	-	Kings	-
120 - 2020-01-31	636	Flyers	-	Devils	-
122 - 2020-02-02	647	Lightning	-	Flyers	-
125 - 2020-02-05	664	Flyers	-	Ducks	-
126 - 2020-02-06	670	Lightning	-	Flyers	-
130 - 2020-02-10	688	Flyers	-	Bruins	-
132 - 2020-02-12	695	Maple Leafs	-	Flyers	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
134 - 2020-02-14	704	Flyers	-	Lightning	-
136 - 2020-02-16	719	Ducks	-	Flyers	-
140 - 2020-02-20	739	Islanders	-	Flyers	-
142 - 2020-02-22	747	Flyers	-	Avalanche	-
143 - 2020-02-23	758	Flyers	-	Islanders	-
145 - 2020-02-25	767	Devils	-	Flyers	-
148 - 2020-02-28	780	Flyers	-	Blues	-
150 - 2020-03-01	791	Flames	-	Flyers	-
154 - 2020-03-05	813	Canadiens	-	Flyers	-
155 - 2020-03-06	818	Flyers	-	Golden Knights	-
159 - 2020-03-10	836	Bruins	-	Flyers	-
161 - 2020-03-12	845	Flyers	-	Canadiens	-
163 - 2020-03-14	860	Senateurs	-	Flyers	-
164 - 2020-03-15	866	Flyers	-	Canadiens	-
166 - 2020-03-17	876	Flyers	-	Devils	-
168 - 2020-03-19	888	Penguins	-	Flyers	-
172 - 2020-03-23	907	Senateurs	-	Flyers	-
176 - 2020-03-27	929	Devils	-	Flyers	-
177 - 2020-03-28	936	Flyers	-	Blue Jackets	-
183 - 2020-04-03	956	Canadiens	-	Flyers	-
184 - 2020-04-04	959	Flyers	-	Blue Jackets	-
187 - 2020-04-07	983	Maple Leafs	-	Flyers	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	160	100	75	50	300
Assistance	6,762	4,990	1,785	3,671	1,100
Attendance PCT	56.35%	49.90%	44.63%	45.89%	55.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
39	9154 - 50.86%	1,515,275$	3,030,549$	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
5,272,520$	86,591,499$	86,022,749$	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
86,591,499$	5,039,716$	0$	22	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
59,095,706$	178	479,320$	85,318,960$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
86,675,980$	86,591,499$	-7,256,708$	-34,836,982$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

James van Riemsdyk	AGE:28	PO:73	OV:79
Jake DeBrusk	AGE:20	PO:83	OV:77
Clayton Keller	AGE:19	PO:87	OV:75
Alexander Steen	AGE:33	PO:42	OV:74
Oscar Lindberg	AGE:25	PO:58	OV:73
Valentin Zykov	AGE:22	PO:74	OV:68

Mika Zibanejad	AGE:24	PO:84	OV:84
Sebastian Aho	AGE:20	PO:74	OV:83
Elias Pettersson	AGE:18	PO:88	OV:81
Clayton Keller	AGE:19	PO:87	OV:75
Cody Eakin	AGE:26	PO:53	OV:74
Nick Bonino	AGE:29	PO:38	OV:74
Jordan Weal	AGE:25	PO:56	OV:69

Jakub Voracek	AGE:28	PO:69	OV:80
Jake DeBrusk	AGE:20	PO:83	OV:77
Travis Konecny	AGE:20	PO:81	OV:76
Clayton Keller	AGE:19	PO:87	OV:75
Alexander Steen	AGE:33	PO:42	OV:74
Valentin Zykov	AGE:22	PO:74	OV:68

Défense #1

Défense #2

Gardien

Mark Giordano	AGE:33	PO:25	OV:83
Brian Dumoulin	AGE:26	PO:59	OV:78
Jaccob Slavin	AGE:23	PO:56	OV:77
Darnell Nurse	AGE:22	PO:85	OV:76
Ian Cole	AGE:28	PO:66	OV:76

Thomas Chabot	AGE:20	PO:83	OV:74
Troy Stecher	AGE:23	PO:42	OV:72
Marcus Pettersson	AGE:21	PO:75	OV:71
Philippe Myers	AGE:20	PO:54	OV:67
Jordan Schmaltz	AGE:23	PO:77	OV:63

David Rittich	AGE:25	PO:42	OV:84
Antti Raanta	AGE:28	PO:39	OV:74
Michal Neuvirth	AGE:29	PO:62	OV:70

Éspoirs

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Adam Ruzicka	Flyers	2018	109
Andrew Poturalski	Flyers	3	75
Arthur Kaliyev	Flyers	3	17
Benoit-Olivier Groulx	Flyers	2018	37
Brayden Tracey	Flyers	3	35
Carter Verhaeghe	Flyers	3	65
Drew Helleson	Flyers	3	89
Filip Johansson	Flyers	2018	47
Glen Gawdin	Flyers
Hudson Elynuik	Flyers	2018	107
Ilya Samsonov	Flyers	2015	22
Jack Studnicka	Flyers	2018	61
Joe Veleno	Flyers	2018	18
Kaapo Kakko	Flyers	3	2
Maksim Sushko	Flyers	2018	95
Maksim Zhukov	Flyers	2018	83
Morgan Frost	Flyers	2017	27
Pyotr Kochetkov	Flyers	3	41
Quinn Hughues	Flyers	2018	10
Ryan Lindgren	Flyers
Ryan Merkley	Flyers	2018	35
Tobias Bjornfot	Flyers	3	40
Tye Smith	Flyers	2018	15
Tyler Benson	Flyers	2018	71
Vitaly Abramov	Flyers	2016	65

Choix au Repêchage

Année	R1	R2	R3	R4	R5
4	PHI VGS TB.	PHI FLA DAL	PHI	PHI	PHI
5	PHI	PHI VGS	PHI	PHI	PHI
6	PHI	PHI	PHI	PHI	PHI
7	PHI	PHI	PHI	PHI	PHI
8	PHI	PHI	PHI	PHI	PHI

[2019-09-24 20:59:09] - Michal Neuvirth was added to Flyers.
[2019-09-20 21:41:08] - Oscar Lindberg was added to Flyers.
[2019-09-16 21:53:25] - Antti Niemi was released.
[2019-09-16 21:53:25] - Alex Stalock was released.
[2019-09-16 21:53:25] - Joe Thornton was released.
[2019-08-26 22:57:46] - Ryan Lindgren has been added to Flyers.
[2019-08-26 22:29:21] - Flyers drafts Drew Helleson as the #89 overall pick in the Entry Draft of year 3.
[2019-07-12 23:12:27] - Flyers drafts Andrew Poturalski as the #75 overall pick in the Entry Draft of year 3.
[2019-07-12 23:07:08] - Flyers drafts Carter Verhaeghe as the #65 overall pick in the Entry Draft of year 3.
[2019-07-11 23:05:54] - TRADE : From Ducks to Flyers : Mark Giordano (83).
[2019-07-11 23:05:54] - TRADE : From Flyers to Ducks : Marcus Foligno (69), Nolan Patrick (73), Y:3-RND:4-ANA, Y:3-RND:5-ANA, Y:3-RND:5-DAL, Y:3-RND:5-PHI.
[2019-07-03 23:49:49] - Marcus Pettersson has been deleted from Flyers.
[2019-07-03 23:48:01] - Marcus Pettersson was added to Flyers.
[2019-07-03 23:44:45] - Flyers drafts Marcus Pettersson as the #59 overall pick in the Entry Draft of year 3.
[2019-07-03 23:37:27] - Flyers drafts Pyotr Kochetkov as the #41 overall pick in the Entry Draft of year 3.
[2019-07-03 23:37:03] - Flyers drafts Tobias Bjornfot as the #40 overall pick in the Entry Draft of year 3.
[2019-07-03 23:35:29] - Flyers drafts Brayden Tracey as the #35 overall pick in the Entry Draft of year 3.
[2019-07-01 16:04:00] - Flyers drafts Arthur Kaliyev as the #17 overall pick in the Entry Draft of year 3.
[2019-07-01 14:07:24] - Flyers drafts Kaapo Kakko as the #2 overall pick in the Entry Draft of year 3.
[2019-06-19 20:40:48] - TRADE : From Golden Knights to Flyers : Y:4-RND:1-VGS, Y:4-RND:2-DAL, Y:5-RND:2-VGS.
[2019-06-19 20:40:48] - TRADE : From Flyers to Golden Knights : Kevin Hayes (82).
[2019-05-29 12:11:53] - TRADE : From Flyers to Oilers : Sami Vatanen (72), Y:4-RND:1-EDM.
[2019-05-29 12:11:53] - TRADE : From Oilers to Flyers : David Rittich (84), Jake DeBrusk (78).
[2019-05-28 21:55:51] - Elias Pettersson was added to Flyers.
[2019-05-28 21:55:25] - Elias Petersson has been deleted from Flyers.
[2019-05-27 12:41:50] - TRADE : From Flyers to Lightning : Esa Lindell (72).
[2019-05-27 12:41:50] - TRADE : From Lightning to Flyers : Y:4-RND:1-TB..
[2019-05-03 21:54:48] - Phantoms was eliminated at round 2 of year 2.
[2019-05-03 21:54:48] - Flyers was eliminated at round 2 of year 2.
[2019-02-12 10:43:27] - TRADE : From Sharks to Flyers : Jakub Voracek (86).
[2019-02-12 10:43:27] - TRADE : From Flyers to Sharks : Kyle Okposo (77), Antoine Morand (P), Cayden Primeau (P), Y:3-RND:1-ANA, Y:3-RND:3-DAL.

[2019-10-13 20:52:20] Current fund for Flyers is under 0 $.
[2019-10-11 20:37:57] Current fund for Flyers is under 0 $.
[2019-10-10 20:42:40] Current fund for Flyers is under 0 $.
[2019-10-09 21:18:36] Last 7 Days Farm Star : 1 - Joey Anderson of Heat (12-9-21) / 2 - Isac Lundestrom of Heat (6-15-21) / 3 - Marcus Pettersson of Phantoms (3-11-14)
[2019-10-08 20:56:00] Current fund for Flyers is under 0 $.
[2019-10-08 12:35:43] Current fund for Flyers is under 0 $.
[2019-10-07 21:49:09] Current fund for Flyers is under 0 $.
[2019-10-07 16:35:05] Current fund for Flyers is under 0 $.
[2019-10-06 20:44:24] Current fund for Flyers is under 0 $.
[2019-10-06 20:44:01] Marcus Pettersson from Phantoms has scored a Hat Trick!
[2019-10-06 11:06:14] Current fund for Flyers is under 0 $.
[2019-10-04 21:28:56] Current fund for Flyers is under 0 $.
[2019-10-04 21:27:32] Current fund for Flyers is under 0 $.
[2019-10-04 21:25:11] Current fund for Flyers is under 0 $.
[2019-10-04 21:23:30] Current fund for Flyers is under 0 $.
[2019-10-04 21:08:32] Current fund for Flyers is under 0 $.
[2019-10-04 21:07:51] Current fund for Flyers is under 0 $.
[2019-10-04 21:07:50] Successfully loaded Flyers lines done with STHS Client - 3.1.7.7
[2019-10-04 21:07:50] Michal Neuvirth of Flyers was sent to farm.
[2019-10-04 21:07:42] Current fund for Flyers is under 0 $.
[2019-10-04 20:56:17] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:15] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:12] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:10] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Marcus Pettersson from Phantoms is back from Exhaustion.
[2019-10-04 20:56:09] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:09] Last 7 Days Farm Star : 1 - Marcus Pettersson of Phantoms (2-9-11) / 2 - Zack Kassian of Marlies (4-2-6) / 3 - Charles Hudon of Marlies (1-5-6)
[2019-10-04 20:56:08] Marcus Pettersson from Phantoms is injured from Exhaustion.
[2019-10-04 20:56:08] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:07] Philippe Myers from Phantoms is back from Dislocated Patella Injury.
[2019-10-04 20:56:07] Last 30 Days Farm Star : 1 - Marcus Pettersson of Phantoms (7-30-37) / 2 - Sean Kuraly of Marlies (10-12-22) / 3 - Zack Kassian of Marlies (13-6-19)
[2019-10-04 20:56:05] Mika Zibanejad from Flyers is back from Exhaustion.
[2019-10-04 20:56:05] Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:04] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:03] Auto Lines Function has been run for Flyers.
[2019-10-04 20:56:03] Auto Roster Partial Function has been run for Flyers.
[2019-10-04 20:56:03] Both Flyers and Phantoms lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:03] Last 7 Days Farm Star : 1 - Markus Granlund of Stars (8-3-11) / 2 - Igor Ozhiganov of Stars (2-7-9) / 3 - Marcus Pettersson of Phantoms (3-8-11)
[2019-10-04 20:56:03] Mika Zibanejad from Flyers is injured from Exhaustion.
[2019-10-04 20:56:02] Flyers lines for next game are empty. Current rosters/lines are not erased.
[2019-10-04 20:56:01] Auto Lines Function has been run for Flyers.
[2019-10-04 20:56:01] Auto Roster Partial Function has been run for Flyers.
[2019-10-04 20:56:01] Phantoms lines for next game are empty. Current rosters/lines are not erased.

Pas de Blessure ou de Suspension.

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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
3	4	1	2	0	0	0	0	1	12	14	-2	2	0	1	0	0	0	0	1	6	8	-2	2	1	1	0	0	0	0	0	6	6	0	3	12	17	29	0	0	7	2	3	0	146	61	48	37	4	129	44	30	59	16	4	25.00%	15	5	66.67%	0	50	95	52.63%	53	97	54.64%	33	66	50.00%	84	49	90	37	70	34
Total Saison Régulière	4	1	2	0	0	0	0	1	12	14	-2	2	0	1	0	0	0	0	1	6	8	-2	2	1	1	0	0	0	0	0	6	6	0	3	12	17	29	0	0	7	2	3	0	146	61	48	37	4	129	44	30	59	16	4	25.00%	15	5	66.67%	0	50	95	52.63%	53	97	54.64%	33	66	50.00%	84	49	90	37	70	34
Séries
2	12	5	7	0	0	0	0	0	34	37	-3	6	3	3	0	0	0	0	0	19	17	2	6	2	4	0	0	0	0	0	15	20	-5	10	34	60	94	0	0	13	9	12	0	440	124	167	149	0	432	128	84	227	51	7	13.73%	43	12	72.09%	1	155	330	46.97%	166	338	49.11%	73	165	44.24%	259	153	261	105	199	99
Total Séries	12	5	7	0	0	0	0	0	34	37	-3	6	3	3	0	0	0	0	0	19	17	2	6	2	4	0	0	0	0	0	15	20	-5	10	34	60	94	0	0	13	9	12	0	440	124	167	149	0	432	128	84	227	51	7	13.73%	43	12	72.09%	1	155	330	46.97%	166	338	49.11%	73	165	44.24%	259	153	261	105	199	99