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 (C)		X	X		99.00	61	41	91	95	64	90	99	90	30	98	95	55	76	81	88	87	79	80	1
2	Leon Draisaitl	X	X			99.00	69	43	82	86	79	90	97	88	90	95	96	66	84	65	65	88	79	79	0
3	Travis Zajac	X				100.00	71	43	91	77	70	81	89	83	99	73	72	90	47	82	85	79	57	74	0
4	Filip Forsberg		X	X		100.00	81	45	87	86	75	80	83	86	29	78	89	65	57	68	70	82	80	74	0
5	Vincent Trocheck	X	X	X		99.00	85	44	73	86	65	83	86	80	92	83	70	77	63	65	66	77	79	73	0
6	Casey Cizikas	X	X			100.00	83	45	85	81	72	67	86	61	86	62	76	90	75	71	73	77	79	71	0
7	Travis Konecny	X	X	X		100.00	71	55	85	86	64	70	99	73	35	80	81	59	25	60	61	76	79	70	0
8	Calle Jarnkrok	X	X	X		100.00	69	42	94	80	67	70	91	66	63	69	69	76	75	69	71	70	79	69	0
9	Martin Necas (R)	X	X	X		100.00	69	63	83	75	63	75	80	87	80	82	75	60	59	47	47	59	79	69	0
10	Jakub Vrana		X	X		100.00	67	52	89	84	72	67	95	68	35	75	83	60	75	60	62	75	79	69	0
11	Kevin Labanc		X	X		100.00	71	42	86	78	67	67	98	78	37	80	72	50	75	60	61	73	79	68	0
12	Kevin Fiala		X	X		100.00	65	42	87	79	68	70	99	75	35	77	71	52	25	60	61	70	79	67	0
13	Rasmus Ristolainen (A)				X	99.00	95	47	85	86	81	91	93	81	25	71	49	85	75	67	67	71	79	77	0
14	Brandon Montour				X	100.00	77	44	80	86	70	86	98	76	25	64	50	82	75	62	63	69	79	73	0
15	Mike Matheson				X	100.00	71	43	83	85	72	86	95	64	25	57	51	86	25	60	61	67	79	72	0
16	T.J. Brodie				X	100.00	61	41	90	88	68	83	93	68	25	65	49	79	25	71	72	67	79	71	0
17	Tyson Barrie				X	100.00	67	42	86	90	68	85	90	97	25	75	57	60	53	69	70	73	73	71	0
18	Nikita Zadorov				X	100.00	98	79	71	82	88	72	91	60	25	50	49	74	25	63	64	64	79	70	0
Rayé
1	Ryan Hitchcock	X	X			100.00	74	63	99	65	63	53	55	49	61	49	44	60	42	44	44	53	20	52	0

	MOYENNE D'ÉQUIPE					99.79	74	48	86	83	70	77	90	75	49	73	68	70	56	64	66	72	74	71

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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	79	77	0
2	Casey DeSmith	98.00	82	68	65	66	88	76	64	79	85	82	59	48	48	77	79	71	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	84	74	71	70	89	79	65	83	86	84	73	52	52	80	79	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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Patrick Kane	Flyers	LW/RW	82	46	42	88	8	4	0	49	80	341	102	204	13.49%	34	1533	18.70	8	14	22	33	179	0	0	0	0	0	8	3	27.18%	103	91	28	1	2	1.15	2	5	0	0	0	5	7	3
2	Leon Draisaitl	Flyers	C/LW	82	29	54	83	11	34	0	123	131	308	98	173	9.42%	31	1572	19.18	6	14	20	32	179	1	0	1	1	25	5	1	54.80%	1874	54	33	1	0	1.06	2	5	0	0	0	3	7	3
3	Travis Zajac	Flyers	C	81	27	32	59	2	10	10	87	138	234	79	145	11.54%	42	1523	18.81	5	8	13	19	147	1	0	1	3	169	3	0	58.15%	1257	42	28	0	1	0.77	1	3	0	2	0	3	3	3
4	Vincent Trocheck	Flyers	C/LW/RW	82	27	31	58	17	62	0	153	135	212	68	134	12.74%	32	1444	17.62	6	5	11	10	144	1	0	1	5	69	7	2	53.53%	794	41	26	0	1	0.80	1	2	0	0	0	3	0	7
5	Travis Konecny	Flyers	C/LW/RW	82	16	29	45	0	12	0	81	64	240	65	140	6.67%	22	1278	15.59	0	6	6	13	131	0	0	0	0	6	2	3	26.58%	79	62	16	0	0	0.70	0	0	0	0	0	3	2	2
6	Casey Cizikas	Flyers	C/LW	82	13	29	42	14	14	0	114	133	130	39	95	10.00%	38	1284	15.67	0	0	0	0	3	1	2	3	4	171	3	1	55.23%	1003	28	26	0	0	0.65	1	2	0	0	0	3	1	4
7	Filip Forsberg	Flyers	LW/RW	82	16	26	42	2	27	5	132	91	199	50	110	8.04%	33	1491	18.19	3	6	9	13	169	0	0	0	1	27	3	1	30.61%	98	48	34	0	0	0.56	0	0	1	0	0	1	3	2
8	Jakub Vrana	Flyers	LW/RW	82	22	17	39	-3	10	0	66	60	170	46	90	12.94%	16	1175	14.33	2	0	2	3	71	0	0	0	0	0	1	5	26.03%	73	26	19	0	0	0.66	0	3	0	0	0	2	2	2
9	Tyson Barrie	Flyers	D	83	4	32	36	-4	20	0	69	74	126	64	56	3.17%	56	1566	18.88	1	3	4	3	141	0	0	0	0	5	1	0	0.00%	0	32	41	0	0	0.46	0	0	0	0	0	0	5	1
10	Martin Necas	Flyers	C/LW/RW	47	20	14	34	0	14	0	37	39	117	41	84	17.09%	23	719	15.30	2	0	2	5	90	0	0	0	0	0	3	0	55.56%	36	17	4	0	1	0.95	0	0	0	0	0	5	1	0
11	Kevin Labanc	Flyers	LW/RW	82	12	19	31	3	8	0	52	37	167	50	107	7.19%	14	1015	12.38	1	0	1	1	23	0	0	0	0	1	1	0	28.57%	49	31	10	0	0	0.61	0	0	0	0	0	0	2	2
12	Rasmus Ristolainen	Flyers	D	82	7	21	28	17	26	0	148	112	109	57	55	6.42%	105	1920	23.42	3	3	6	11	196	0	0	0	0	32	3	2	0.00%	0	19	57	1	0	0.29	1	2	0	0	0	2	4	2
13	Brandon Montour	Flyers	D	82	4	24	28	18	36	0	115	124	94	31	32	4.26%	122	1910	23.30	1	2	3	4	156	0	1	1	1	80	0	0	0.00%	0	11	62	0	0	0.29	0	0	0	0	0	0	2	2
14	Calle Jarnkrok	Flyers	C/LW/RW	82	11	13	24	3	0	0	54	113	128	42	64	8.59%	18	908	11.08	0	0	0	0	6	3	1	4	9	181	2	2	43.40%	477	21	29	0	0	0.53	0	0	0	0	0	1	0	3
15	Kevin Fiala	Flyers	LW/RW	82	12	9	21	2	6	0	37	23	136	31	71	8.82%	7	688	8.40	0	0	0	0	3	0	0	0	0	0	1	1	30.77%	13	38	7	0	0	0.61	0	0	0	0	0	1	2	2
16	T.J. Brodie	Flyers	D	82	1	19	20	20	17	5	33	105	61	26	31	1.64%	74	1449	17.68	1	0	1	1	42	0	0	0	1	147	0	0	0.00%	0	10	58	0	0	0.28	0	0	0	1	0	0	2	0
17	Mike Matheson	Flyers	D	82	2	10	12	-8	36	0	59	103	85	32	27	2.35%	81	1527	18.62	0	0	0	0	35	0	0	0	0	162	0	1	0.00%	0	4	53	0	0	0.16	0	0	0	0	0	0	0	0
18	Nikita Zadorov	Flyers	D	82	1	9	10	16	100	20	119	74	41	23	21	2.44%	75	1271	15.51	0	1	1	0	0	0	0	0	1	133	0	0	0.00%	0	2	36	0	0	0.16	0	0	0	1	3	0	1	0
19	Tanner Kero	Philadelphia Phantoms (PHI)	C/LW	1	0	0	0	-1	0	0	1	0	0	0	0	0.00%	0	7	7.02	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1442	270	430	700	117	436	40	1529	1636	2898	944	1639	9.32%	823	24289	16.84	39	62	101	148	1721	7	4	11	26	1214	43	22	52.59%	5858	577	567	3	5	0.58	8	22	1	4	3	32	44	38

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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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Matt Murray	Flyers	64	35	20	7	0.915	2.91	3778	2	183	2154	984	3	2	0.571	14	64	18	9	3	1
2	Casey DeSmith	Flyers	22	10	9	1	0.918	2.74	1182	2	54	658	287	3	1	1.000	5	18	64	3	2	0
Stats d'équipe Total ou en Moyenne			86	45	29	8	0.916	2.87	4960	4	237	2812	1271	6	3	0.684	19	82	82	12	5	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	Link
Brandon Montour	Flyers	D	24	1994-04-11	No	192 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,048,750$	3,048,750$	21,320$	No				Lien
Calle Jarnkrok	Flyers	C/LW/RW	26	1991-09-25	No	186 Lbs	5 ft11	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	13,986$	No				Lien
Casey Cizikas	Flyers	C/LW	27	1991-02-27	No	200 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,675,000$	1,675,000$	11,713$	No	1,675,000$			Lien
Casey DeSmith	Flyers	G	26	1991-08-12	No	181 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,250,000$	1,250,000$	8,741$	No	1,250,000$	1,250,000$		Lien
Filip Forsberg	Flyers	LW/RW	23	1994-08-13	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	6,000,000$	6,000,000$	41,958$	No	6,000,000$			Lien
Jakub Vrana	Flyers	LW/RW	22	1996-02-28	No	197 Lbs	6 ft0	No	No	No	2	Pro & Farm	3,350,000$	3,350,000$	23,427$	No	3,350,000$			Lien
Kevin Fiala	Flyers	LW/RW	21	1996-07-22	No	193 Lbs	5 ft10	No	No	No	2	Pro & Farm	3,000,000$	3,000,000$	20,979$	No	3,000,000$			Lien
Kevin Labanc	Flyers	LW/RW	22	1995-12-12	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	6,993$	No				Lien
Leon Draisaitl	Flyers	C/LW	22	1995-10-26	No	215 Lbs	6 ft2	No	No	No	2	Pro & Farm	8,500,000$	8,500,000$	59,441$	No	8,500,000$			Lien
Martin Necas	Flyers	C/LW/RW	19	1999-01-14	Yes	167 Lbs	6 ft1	No	No	No	3	Pro & Farm	863,333$	863,333$	6,037$	No	863,333$	863,333$		Lien
Matt Murray	Flyers	G	24	1994-05-24	No	178 Lbs	6 ft4	No	No	No	1	Pro & Farm	3,750,000$	3,750,000$	26,224$	No				Lien
Mike Matheson	Flyers	D	24	1994-02-27	No	192 Lbs	6 ft2	No	No	No	3	Pro & Farm	4,875,000$	4,875,000$	34,091$	No	4,875,000$	4,875,000$		Lien
Nikita Zadorov	Flyers	D	23	1995-04-15	No	230 Lbs	6 ft5	No	No	No	1	Pro & Farm	3,200,000$	3,200,000$	22,378$	No				Lien
Patrick Kane	Flyers	LW/RW	29	1988-11-19	No	177 Lbs	5 ft11	No	No	No	1	Pro & Farm	10,500,000$	10,500,000$	73,427$	No				Lien
Rasmus Ristolainen	Flyers	D	23	1994-10-27	No	218 Lbs	6 ft4	No	No	No	2	Pro & Farm	5,400,000$	5,400,000$	37,762$	No	5,400,000$			Lien
Ryan Hitchcock	Flyers	C/LW	22	1996-03-30	No	176 Lbs	5 ft10	No	No	No	0	Pro & Farm		0$	0$	No				Lien
T.J. Brodie	Flyers	D	28	1990-06-06	No	182 Lbs	6 ft1	No	No	No	2	Pro & Farm	4,650,000$	4,650,000$	32,517$	No	4,650,000$			Lien
Travis Konecny	Flyers	C/LW/RW	21	1997-03-11	No	175 Lbs	5 ft10	No	No	No	4	Pro & Farm	5,500,000$	5,500,000$	38,462$	No	5,500,000$	5,500,000$	5,500,000$	Lien
Travis Zajac	Flyers	C	33	1985-05-13	No	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,875,000$	2,875,000$	20,105$	No	2,875,000$			Lien
Tyson Barrie	Flyers	D	26	1991-07-25	No	190 Lbs	5 ft10	No	No	No	1	Pro & Farm	5,500,000$	5,500,000$	38,462$	No				Lien
Vincent Trocheck	Flyers	C/LW/RW	24	1993-07-11	No	182 Lbs	5 ft10	No	No	No	1	Pro & Farm	4,750,000$	4,750,000$	33,217$	No				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
21	24.24	191 Lbs	6 ft0	1.76	3,889,861$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
81,687,083$	47,938,333$	12,488,333$	5,500,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vincent Trocheck	Leon Draisaitl	Patrick Kane	32	0	3	2
2	Martin Necas	Travis Zajac	Travis Konecny	28	0	3	2
3	Jakub Vrana	Casey Cizikas	Filip Forsberg	25	0	3	2
4	Kevin Labanc	Calle Jarnkrok	Kevin Fiala	15	0	3	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Brandon Montour	37	0	3	2
2	Tyson Barrie	Mike Matheson	34	0	3	2
3	Nikita Zadorov	T.J. Brodie	29	0	4	1
4	Tyson Barrie	Rasmus Ristolainen	0	1	2	2

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

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Martin Necas	55	0	1	4
2	Tyson Barrie	Brandon Montour	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	Travis Zajac	Vincent Trocheck	45	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Brandon Montour	T.J. Brodie	50	1	4	0
2	Nikita Zadorov	Mike Matheson	50	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	Brandon Montour	T.J. Brodie	50	0	5	0
2	Travis Zajac	45	0	5	0	Nikita Zadorov	Mike Matheson	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Leon Draisaitl	Patrick Kane	55	0	2	3
2	Vincent Trocheck	Filip Forsberg	45	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Brandon Montour	55	0	2	3
2	Tyson Barrie	T.J. Brodie	45	0	2	3

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

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Casey Cizikas	Leon Draisaitl	Travis Zajac	Brandon Montour	Rasmus Ristolainen

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kevin Labanc, Kevin Fiala, Casey Cizikas	Kevin Labanc, Kevin Fiala	Filip Forsberg

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
T.J. Brodie, Rasmus Ristolainen, Nikita Zadorov	Mike Matheson	Brandon Montour, Rasmus Ristolainen

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, Martin Necas, Martin Necas, Kevin Fiala, Jakub Vrana, Calle Jarnkrok, Travis Zajac

Lignes de Défense Perso. en Prol.
Tyson Barrie, 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	Avalanche	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	6	9	0	0	1	2	0	0	66	17	31	18	0	72	30	10	39	0	0	0.00%	5	1	80.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	43	27	43	16	33	16
2	Blackhawks	2	2	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	10	16	0	0	1	2	3	0	62	16	24	22	0	59	11	41	52	7	3	42.86%	9	2	77.78%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	45	26	39	17	34	18
3	Blues	2	1	1	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	4	7	-3	2	0.500	8	15	23	0	0	3	3	2	0	69	25	24	20	0	79	25	12	41	3	1	33.33%	6	3	50.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	44	28	42	15	32	16
4	Bruins	2	2	0	0	0	0	0	0	11	7	4	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	8	5	3	4	1.000	11	17	28	0	0	2	5	4	0	59	16	19	24	0	78	23	18	40	6	2	33.33%	9	3	66.67%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	42	24	40	17	37	18
5	Canadiens	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	3	4	7	0	0	1	1	1	0	50	17	19	14	0	83	37	12	30	1	0	0.00%	6	1	83.33%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	36	21	49	17	33	15
6	Canucks	4	0	2	0	1	0	1	0	7	9	-2	2	0	2	0	0	0	0	0	2	6	-4	2	0	0	0	1	0	1	0	5	3	2	4	0.500	7	9	16	1	0	2	2	1	3	113	40	35	28	12	143	42	24	89	11	1	9.09%	12	3	75.00%	1	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	90	53	85	35	69	34
7	Capitals	2	0	1	0	1	0	0	0	5	6	-1	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	9	14	0	0	1	1	2	1	73	32	20	17	4	67	16	6	35	8	0	0.00%	3	0	100.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	47	27	39	17	34	18
8	Devils	2	1	1	0	0	0	0	0	7	7	0	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	3	1	2	0.500	7	12	19	0	0	1	2	4	0	82	22	17	43	0	72	26	14	33	6	0	0.00%	7	2	71.43%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	43	25	43	17	33	16
9	Ducks	3	2	1	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	4	2	2	2	1	1	0	0	0	0	0	6	6	0	4	0.667	10	16	26	0	0	4	1	5	0	101	40	35	26	0	84	21	6	59	7	0	0.00%	3	0	100.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	64	38	59	28	55	27
10	Flames	3	1	1	0	1	0	0	0	8	6	2	2	1	1	0	0	0	0	0	6	5	1	1	0	0	0	1	0	0	0	2	1	1	4	0.667	8	14	22	0	0	2	4	1	1	105	33	33	38	1	107	41	16	62	7	1	14.29%	8	1	87.50%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	67	39	62	27	54	27
11	Golden Knights	3	0	2	0	0	0	0	1	6	12	-6	2	0	1	0	0	0	0	1	3	6	-3	1	0	1	0	0	0	0	0	3	6	-3	1	0.167	6	10	16	0	0	2	2	2	0	106	31	29	42	6	112	25	16	53	3	1	33.33%	8	3	62.50%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	64	38	66	27	54	25
12	Golden Seals	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	1	5	-4	1	1	0	0	0	0	0	0	4	1	3	2	0.500	5	10	15	0	0	2	2	1	0	74	29	20	25	0	65	21	16	45	4	1	25.00%	8	3	62.50%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	43	26	42	17	34	16
13	Islanders	3	1	1	0	1	0	0	0	11	10	1	1	0	0	0	1	0	0	0	4	3	1	2	1	1	0	0	0	0	0	7	7	0	4	0.667	11	19	30	0	0	2	4	4	1	102	20	28	52	2	114	32	20	62	7	1	14.29%	10	3	70.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	66	39	63	26	50	25
14	Jets	3	1	1	0	0	1	0	0	7	9	-2	1	1	0	0	0	0	0	0	3	2	1	2	0	1	0	0	1	0	0	4	7	-3	3	0.500	7	12	19	0	0	1	3	3	0	113	42	28	41	2	114	35	14	66	5	0	0.00%	7	1	85.71%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	70	42	64	25	49	24
15	Kings	4	2	1	0	1	0	0	0	13	10	3	2	1	1	0	0	0	0	0	6	5	1	2	1	0	0	1	0	0	0	7	5	2	6	0.750	13	19	32	0	0	5	5	2	1	148	54	47	43	4	136	34	16	66	8	2	25.00%	8	1	87.50%	1	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	90	55	85	34	66	33
16	Lightning	3	0	0	0	1	1	1	0	11	10	1	2	0	0	0	1	0	1	0	8	6	2	1	0	0	0	0	1	0	0	3	4	-1	5	0.833	11	15	26	0	0	1	3	5	5	96	26	35	32	9	110	35	10	52	10	1	10.00%	5	1	80.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	68	39	61	27	54	28
17	Maple Leafs	2	2	0	0	0	0	0	0	13	6	7	1	1	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	5	2	3	4	1.000	13	22	35	0	0	4	5	4	0	69	23	15	31	0	61	30	12	45	10	3	30.00%	6	1	83.33%	2	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	45	26	40	16	33	18
18	Maroons	2	0	1	0	1	0	0	0	7	8	-1	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	10	17	1	0	2	2	2	1	78	24	26	26	2	64	16	8	33	6	1	16.67%	4	2	50.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	49	30	38	15	34	18
19	Nordiques	4	3	0	0	0	0	1	0	17	6	11	2	2	0	0	0	0	0	0	7	3	4	2	1	0	0	0	0	1	0	10	3	7	8	1.000	17	25	42	0	0	3	6	7	1	140	54	30	52	9	131	43	31	86	12	4	33.33%	8	2	75.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	89	52	85	34	70	35
20	Oilers	2	0	1	0	0	1	0	0	4	6	-2	1	0	0	0	0	1	0	0	1	2	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.250	4	7	11	0	0	0	4	0	0	70	16	32	22	0	67	29	4	41	1	0	0.00%	2	0	100.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	42	27	45	16	33	16
21	Panthers	5	3	1	0	1	0	0	0	21	12	9	2	2	0	0	0	0	0	0	12	6	6	3	1	1	0	1	0	0	0	9	6	3	8	0.800	21	31	52	0	0	5	7	8	1	176	58	56	58	4	143	49	44	106	17	6	35.29%	12	1	91.67%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	115	70	101	42	85	43
22	Penguins	6	4	1	0	0	0	0	1	19	15	4	4	3	0	0	0	0	0	1	14	9	5	2	1	1	0	0	0	0	0	5	6	-1	9	0.750	19	26	45	0	0	5	9	5	0	193	51	83	59	3	211	68	32	129	15	3	20.00%	16	4	75.00%	1	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	126	73	133	55	105	51
23	Rangers	2	1	0	0	0	1	0	0	7	7	0	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	3	1	3	0.750	7	13	20	0	0	1	4	2	0	69	16	37	16	0	71	14	8	48	3	0	0.00%	4	1	75.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	45	26	41	16	33	17
24	Red Wings	2	2	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	9	15	0	0	0	3	3	0	60	15	23	22	0	70	29	12	36	3	0	0.00%	6	0	100.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	42	23	43	17	34	16
25	Sabres	4	0	3	0	0	1	0	0	12	21	-9	2	0	2	0	0	0	0	0	6	10	-4	2	0	1	0	0	1	0	0	6	11	-5	1	0.125	12	19	31	1	0	1	4	7	0	139	46	38	55	0	126	39	14	74	6	1	16.67%	7	2	71.43%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	85	50	81	34	72	35
26	Senateurs	4	3	0	0	0	1	0	0	14	10	4	2	2	0	0	0	0	0	0	8	5	3	2	1	0	0	0	1	0	0	6	5	1	7	0.875	14	25	39	0	0	5	3	6	0	139	45	39	55	0	149	33	16	69	10	2	20.00%	8	1	87.50%	1	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	89	55	83	34	69	35
27	Sharks	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	6	-4	0	0.000	4	6	10	0	0	1	1	2	0	65	17	27	21	0	65	18	12	44	2	0	0.00%	6	2	66.67%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	41	24	43	17	34	17
28	Stars	2	2	0	0	0	0	0	0	11	5	6	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	11	19	30	0	0	2	6	3	0	79	25	25	29	0	81	22	8	35	4	1	25.00%	4	1	75.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	47	29	39	15	33	17
	Total	82	34	29	0	8	6	3	2	260	242	18	41	19	13	0	4	2	1	2	131	117	14	41	15	16	0	4	4	2	0	129	125	4	98	0.598	260	416	676	3	0	61	97	91	15	2797	883	911	963	58	2815	873	462	1625	191	35	18.32%	202	46	77.23%	6	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	1817	1081	1729	714	1420	713
30	Wild	3	0	3	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	1	2	-1	2	0	2	0	0	0	0	0	3	6	-3	0	0.000	4	7	11	0	0	1	1	2	0	101	33	36	32	0	81	29	10	55	9	0	0.00%	5	1	80.00%	0	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	66	38	61	26	52	26
	_Since Last GM Reset	82	34	29	0	8	6	3	2	260	242	18	41	19	13	0	4	2	1	2	131	117	14	41	15	16	0	4	4	2	0	129	125	4	98	0.598	260	416	676	3	0	61	97	91	15	2797	883	911	963	58	2815	873	462	1625	191	35	18.32%	202	46	77.23%	6	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	1817	1081	1729	714	1420	713
	_Vs Conference	48	22	13	0	6	3	3	1	163	130	33	25	14	7	0	2	0	1	1	90	69	21	23	8	6	0	4	3	2	0	73	61	12	66	0.688	163	251	414	3	0	39	59	56	13	1638	528	522	560	44	1602	492	282	953	132	29	21.97%	112	23	79.46%	6	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	1077	640	1000	418	836	423
	_Vs Division	31	15	8	0	3	2	2	1	103	83	20	16	10	5	0	0	0	0	1	55	44	11	15	5	3	0	3	2	2	0	48	39	9	43	0.694	103	154	257	2	0	26	36	36	6	1048	348	328	350	32	1039	308	177	619	79	19	24.05%	71	14	80.28%	4	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	687	410	655	271	539	269

			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
82	98	L1	260	416	676	2797	2815	873	462	1625	3	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	34	29	8	6	3	2	260	242

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	13	4	2	1	2	131	117

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	16	4	4	2	0	129	125

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	4	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
191	35	18.32%	202	46	77.23%	6

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
883	911	963	58	61	97	91	15

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
992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%

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
1817	1081	1729	714	1420	713

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 - 2019-10-04	6	Flyers	5	Panthers	2	W			Sommaire du Match
3 - 2019-10-06	25	Penguins	1	Flyers	4	W			Sommaire du Match
5 - 2019-10-08	44	Flyers	2	Wild	4	L			Sommaire du Match
6 - 2019-10-09	54	Penguins	2	Flyers	3	W			Sommaire du Match
8 - 2019-10-11	71	Flyers	1	Penguins	3	L			Sommaire du Match
9 - 2019-10-12	82	Kings	2	Flyers	5	W			Sommaire du Match
10 - 2019-10-13	96	Flyers	3	Canucks	2	W	X		Sommaire du Match
13 - 2019-10-16	114	Flames	2	Flyers	1	L			Sommaire du Match
15 - 2019-10-18	131	Nordiques	1	Flyers	4	W			Sommaire du Match
16 - 2019-10-19	140	Flyers	3	Sabres	4	L	X		Sommaire du Match
18 - 2019-10-21	160	Flames	3	Flyers	5	W			Sommaire du Match
20 - 2019-10-23	175	Flyers	3	Nordiques	2	W	X	X	Sommaire du Match
22 - 2019-10-25	192	Canucks	3	Flyers	1	L			Sommaire du Match
23 - 2019-10-26	204	Flyers	2	Senateurs	3	L	X		Sommaire du Match
25 - 2019-10-28	221	Lightning	3	Flyers	4	W	X	X	Sommaire du Match
27 - 2019-10-30	240	Flyers	3	Panthers	2	W	X		Sommaire du Match
28 - 2019-10-31	248	Flyers	4	Penguins	3	W			Sommaire du Match
30 - 2019-11-02	263	Canadiens	5	Flyers	2	L			Sommaire du Match
32 - 2019-11-04	278	Flyers	4	Devils	3	W			Sommaire du Match
34 - 2019-11-06	292	Flyers	3	Blackhawks	2	W			Sommaire du Match
35 - 2019-11-07	301	Islanders	3	Flyers	4	W	X		Sommaire du Match
37 - 2019-11-09	323	Devils	4	Flyers	3	L			Sommaire du Match
39 - 2019-11-11	338	Flyers	2	Jets	3	L	X		Sommaire du Match
40 - 2019-11-12	353	Jets	2	Flyers	3	W			Sommaire du Match
43 - 2019-11-15	371	Flyers	1	Wild	2	L			Sommaire du Match
44 - 2019-11-16	384	Wild	2	Flyers	1	L			Sommaire du Match
45 - 2019-11-17	400	Flyers	2	Flames	1	W	X		Sommaire du Match
47 - 2019-11-19	413	Flyers	3	Lightning	4	L	X		Sommaire du Match
49 - 2019-11-21	425	Golden Seals	5	Flyers	1	L			Sommaire du Match
51 - 2019-11-23	441	Blues	2	Flyers	4	W			Sommaire du Match
52 - 2019-11-24	457	Blackhawks	2	Flyers	3	W			Sommaire du Match
54 - 2019-11-26	475	Flyers	1	Canadiens	2	L			Sommaire du Match
56 - 2019-11-28	489	Flyers	2	Jets	4	L			Sommaire du Match
58 - 2019-11-30	505	Lightning	3	Flyers	4	W	X		Sommaire du Match
60 - 2019-12-02	522	Canucks	3	Flyers	1	L			Sommaire du Match
62 - 2019-12-04	536	Flyers	3	Islanders	2	W			Sommaire du Match
64 - 2019-12-06	551	Penguins	5	Flyers	4	L	X	X	Sommaire du Match
66 - 2019-12-08	565	Flyers	4	Golden Seals	1	W			Sommaire du Match
67 - 2019-12-09	581	Panthers	3	Flyers	6	W			Sommaire du Match
69 - 2019-12-11	596	Flyers	2	Canucks	1	W	X	X	Sommaire du Match
70 - 2019-12-12	605	Flyers	2	Avalanche	3	L			Sommaire du Match
71 - 2019-12-13	624	Nordiques	2	Flyers	3	W			Sommaire du Match
73 - 2019-12-15	641	Panthers	3	Flyers	6	W			Sommaire du Match
75 - 2019-12-17	653	Flyers	5	Kings	4	W	X		Sommaire du Match
77 - 2019-12-19	674	Kings	3	Flyers	1	L			Sommaire du Match
79 - 2019-12-21	685	Flyers	3	Red Wings	1	W			Sommaire du Match
80 - 2019-12-22	696	Flyers	3	Oilers	4	L			Sommaire du Match
83 - 2019-12-25	713	Penguins	1	Flyers	3	W			Sommaire du Match
84 - 2019-12-26	734	Red Wings	1	Flyers	3	W			Sommaire du Match
86 - 2019-12-28	745	Flyers	3	Sabres	7	L			Sommaire du Match
87 - 2019-12-29	756	Flyers	4	Islanders	5	L			Sommaire du Match
89 - 2019-12-31	771	Maple Leafs	4	Flyers	8	W			Sommaire du Match
90 - 2020-01-01	781	Flyers	5	Maple Leafs	2	W			Sommaire du Match
93 - 2020-01-04	805	Oilers	2	Flyers	1	L	X		Sommaire du Match
95 - 2020-01-06	822	Maroons	3	Flyers	4	W	X		Sommaire du Match
96 - 2020-01-07	834	Flyers	1	Ducks	3	L			Sommaire du Match
98 - 2020-01-09	848	Flyers	2	Sharks	6	L			Sommaire du Match
100 - 2020-01-11	860	Sharks	3	Flyers	2	L			Sommaire du Match
102 - 2020-01-13	881	Capitals	3	Flyers	4	W	X		Sommaire du Match
105 - 2020-01-16	896	Flyers	3	Maroons	5	L			Sommaire du Match
106 - 2020-01-17	905	Flyers	4	Blues	7	L			Sommaire du Match
107 - 2020-01-18	920	Flyers	7	Nordiques	1	W			Sommaire du Match
109 - 2020-01-20	933	Bruins	2	Flyers	3	W			Sommaire du Match
111 - 2020-01-22	954	Ducks	2	Flyers	4	W			Sommaire du Match
113 - 2020-01-24	970	Stars	3	Flyers	5	W			Sommaire du Match
114 - 2020-01-25	989	Avalanche	4	Flyers	1	L			Sommaire du Match
115 - 2020-01-26	993	Flyers	6	Stars	2	W			Sommaire du Match
117 - 2020-01-28	1017	Flyers	5	Ducks	3	W			Sommaire du Match
118 - 2020-01-29	1024	Flyers	3	Golden Knights	6	L			Sommaire du Match
121 - 2020-02-01	1041	Rangers	4	Flyers	3	L	X		Sommaire du Match
122 - 2020-02-02	1058	Senateurs	4	Flyers	5	W			Sommaire du Match
125 - 2020-02-05	1081	Flyers	1	Capitals	3	L			Sommaire du Match
126 - 2020-02-06	1090	Senateurs	1	Flyers	3	W			Sommaire du Match
127 - 2020-02-07	1095	Flyers	8	Bruins	5	W			Sommaire du Match
128 - 2020-02-08	1113	Flyers	4	Senateurs	2	W			Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
131 - 2020-02-11	1133	Golden Knights	3	Flyers	2	L	X	X	Sommaire du Match
132 - 2020-02-12	1151	Golden Knights	3	Flyers	1	L			Sommaire du Match
134 - 2020-02-14	1171	Flyers	1	Panthers	2	L			Sommaire du Match
137 - 2020-02-17	1188	Sabres	6	Flyers	4	L			Sommaire du Match
138 - 2020-02-18	1196	Flyers	2	Kings	1	W			Sommaire du Match
139 - 2020-02-19	1203	Flyers	4	Rangers	3	W			Sommaire du Match
142 - 2020-02-22	1230	Sabres	4	Flyers	2	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	235,955	198,794	79,760	156,453	39,553
Attendance PCT	95.92%	96.97%	97.27%	95.40%	96.47%

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	17330 - 96.28%	1,662,654$	68,168,830$	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
82,507,846$	81,687,083$	37,512,083$	0$	275,000$

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
81,687,083$	82,507,846$	0$	20	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	1	580,490$	580,490$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
580,490$	83,345,083$	11,051,214$	10,470,724$

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:70
Jakub Vrana	AGE:22	PO:75	OV:69
Calle Jarnkrok	AGE:26	PO:70	OV:69
*Martin Necas	AGE:19	PO:59	OV:69
Kevin Labanc	AGE:22	PO:73	OV:68
Kevin Fiala	AGE:21	PO:70	OV:67
Brendan Perlini	AGE:22	PO:70	OV:64
Zac Dalpe	AGE:28	PO:70	OV:64
Joshua Ho-Sang	AGE:22	PO:65	OV:64
Tanner Kero	AGE:25	PO:67	OV:63
Warren Foegele	AGE:22	PO:66	OV:63
Dryden Hunt	AGE:22	PO:65	OV:62
T.J. Hensick	AGE:32	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:56
*Givani Smith	AGE:20	PO:53	OV:53
Ryan Hitchcock	AGE:22	PO:53	OV:52

Leon Draisaitl	AGE:22	PO:88	OV:79
Travis Zajac	AGE:33	PO:79	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:70
Calle Jarnkrok	AGE:26	PO:70	OV:69
*Martin Necas	AGE:19	PO:59	OV:69
Zac Dalpe	AGE:28	PO:70	OV:64
Joshua Ho-Sang	AGE:22	PO:65	OV:64
Tanner Kero	AGE:25	PO:67	OV:63
Lias Andersson	AGE:19	PO:64	OV:62
T.J. Hensick	AGE:32	PO:65	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

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:70
Jakub Vrana	AGE:22	PO:75	OV:69
Calle Jarnkrok	AGE:26	PO:70	OV:69
*Martin Necas	AGE:19	PO:59	OV:69
Kevin Labanc	AGE:22	PO:73	OV:68
Kevin Fiala	AGE:21	PO:70	OV:67
Brendan Perlini	AGE:22	PO:70	OV:64
Zac Dalpe	AGE:28	PO:70	OV:64
Dale Weise	AGE:29	PO:66	OV:64
Joshua Ho-Sang	AGE:22	PO:65	OV:64
Warren Foegele	AGE:22	PO:66	OV:63
*Joey Anderson	AGE:20	PO:67	OV:61
T.J. Hensick	AGE:32	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
Brandon Montour	AGE:24	PO:69	OV:73
Mike Matheson	AGE:24	PO:67	OV:72
Tyson Barrie	AGE:26	PO:73	OV:71
T.J. Brodie	AGE:28	PO:67	OV:71
Nikita Zadorov	AGE:23	PO:64	OV:70
*John Marino	AGE:21	PO:70	OV:67

Chad Ruhwedel	AGE:28	PO:61	OV:64
*Dennis Cholowski	AGE:20	PO:63	OV:62
*Juuso Valimaki	AGE:19	PO:60	OV:62
*Jake Bean	AGE:20	PO:62	OV:61
Dakota Mermis	AGE:24	PO:54	OV:59
Dean Kukan	AGE:24	PO:58	OV:58

Matt Murray	AGE:24	PO:82	OV:77
Casey DeSmith	AGE:26	PO:77	OV:71
*Ilya Samsonov	AGE:21	PO:74	OV:69
Tristan Jarry	AGE:23	PO:62	OV:62
Alex Lyon	AGE:25	PO:62	OV:61
Oscar Dansk	AGE:24	PO:61	OV:60
*Connor LaCouvee	AGE:24	PO:60	OV:59
*Kevin Lankinen	AGE:23	PO:59	OV:58
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
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
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	LAK 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

[2020-03-24 16:41:36] - Joshua Ho-Sang has been selected as captain for Philadelphia Phantoms.
[2020-03-24 16:41:36] - Unknown Player is no longer captain for Philadelphia Phantoms.
[2020-02-10 20:01:58] - TRADE : From Panthers to Flyers : Travis Zajac (74).
[2020-02-10 20:01:58] - TRADE : From Flyers to Panthers : Scott Laughton (69).
[2020-02-08 16:02:45] - TRADE : From Sharks to Flyers : Chad Ruhwedel (64), Tyson Barrie (71), T.J. Hensick (61).
[2020-02-08 16:02:45] - TRADE : From Flyers to Sharks : Emil Johansson (57), Hudson Elynuik (51), Justin Faulk (74).
[2020-01-29 17:49:20] - TRADE : From Kings to Flyers : Tanner Kero (63).
[2020-01-29 17:49:20] - TRADE : From Flyers to Kings : Ryan Kuffner (54).
[2020-01-06 10:33:38] - TRADE : From Kings to Flyers : Joey Anderson (61).
[2020-01-06 10:33:38] - TRADE : From Flyers to Kings : Sean Kuraly (66).
[2019-12-23 13:24:32] - TRADE : From Flyers to Devils : Michael Del Zotto (68).
[2019-12-23 13:24:32] - TRADE : From Devils to Flyers : Y:2020-RND:3-LAK.
[2019-12-19 17:03:33] - New Record for Team's Most Shots Blocked (24) in 1 Game for Flyers!
[2019-11-30 12:28:19] - John Marino was added to Flyers.
[2019-10-09 13:35:12] - Michael Del Zotto was added to Flyers.
[2019-10-09 13:35:12] - Flyers claimed Michael Del Zotto from waivers by Kings for 0 $.
[2019-10-09 13:35:07] - Flyers show interest in Michael Del Zotto from waiver.
[2019-10-08 18:46:15] - Dennis Cholowski has been selected as assistant for Philadelphia Phantoms.
[2019-10-08 18:46:15] - Unknown Player is no longer as assistant for Philadelphia Phantoms.
[2019-10-08 18:46:15] - Jake Bean has been selected as assistant for Philadelphia Phantoms.
[2019-10-08 18:46:15] - Unknown Player is no longer as assistant for Philadelphia Phantoms.
[2019-10-08 18:46:15] - Joshua Ho-Sang has been selected as captain for Philadelphia Phantoms.
[2019-10-08 18:46:15] - Unknown Player is no longer captain for Philadelphia Phantoms.
[2019-10-08 18:46:15] - Rasmus Ristolainen has been selected as assistant for Flyers.
[2019-10-08 18:46:15] - Patrick Kane is no longer as assistant for Flyers.
[2019-10-08 18:46:15] - Justin Faulk has been selected as assistant for Flyers.
[2019-10-08 18:46:15] - Unknown Player is no longer as assistant for Flyers.
[2019-10-08 18:46:15] - Patrick Kane has been selected as captain for Flyers.
[2019-10-08 18:46:15] - Unknown Player is no longer captain for Flyers.
[2019-10-08 18:38:30] - Jonathan Diaby has been deleted from Flyers.
[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).

[2020-04-24 15:04:40] Successfully loaded Flyers lines done with STHS Client - 3.2.1.1
[2020-04-08 16:31:31] Successfully loaded Flyers lines done with STHS Client - 3.2.1.1
[2020-04-07 16:29:34] Martin Necas from Flyers has scored a Hat Trick!
[2020-04-06 17:04:53] Last 7 Days Farm Star : 1 - Mitchell Stephens of Chicago Wolves (10-4-14) / 2 - Zac Dalpe of Philadelphia Phantoms (4-9-13) / 3 - Marcus Sorensen of Calgary Hitman (7-2-9)
[2020-04-03 21:42:55] Successfully loaded Flyers lines done with STHS Client - 3.2.1.1

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
2019	82	34	29	0	8	6	3	2	260	242	18	41	19	13	0	4	2	1	2	131	117	14	41	15	16	0	4	4	2	0	129	125	4	98	260	416	676	3	0	61	97	91	15	2797	883	911	963	58	2815	873	462	1625	191	35	18.32%	202	46	77.23%	6	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	1817	1081	1729	714	1420	713
Total Saison Régulière	82	34	29	0	8	6	3	2	260	242	18	41	19	13	0	4	2	1	2	131	117	14	41	15	16	0	4	4	2	0	129	125	4	98	260	416	676	3	0	61	97	91	15	2797	883	911	963	58	2815	873	462	1625	191	35	18.32%	202	46	77.23%	6	992	1930	51.40%	1018	2010	50.65%	637	1193	53.39%	1817	1081	1729	714	1420	713