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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	Leon Draisaitl (A)	X	X			99.00	63	42	91	86	79	90	94	95	93	99	96	68	79	67	67	88	48	81	0
2	J.T. Miller	X	X	X		100.00	83	55	80	88	79	84	89	98	94	92	87	64	84	71	74	84	60	79	0
3	Patrick Kane (C)		X	X		100.00	61	41	83	93	64	87	93	91	31	96	91	57	80	83	90	84	60	78	1
4	Kevin Fiala		X	X		100.00	63	41	81	87	68	70	91	79	31	84	86	60	37	63	64	79	57	72	0
5	Jakub Vrana		X	X		100.00	63	42	91	86	71	68	93	74	52	79	86	63	75	63	65	79	60	71	0
6	Calle Jarnkrok	X	X	X		100.00	63	41	92	80	67	72	89	74	44	75	74	71	69	71	73	75	60	70	0
7	Kevin Labanc		X	X		100.00	69	42	84	83	67	73	93	81	30	72	72	60	75	63	65	73	53	69	0
8	Scott Laughton	X	X	X		100.00	87	45	84	81	71	68	83	57	75	74	78	78	25	64	65	77	60	69	0
9	Martin Necas	X	X	X		100.00	75	43	90	86	63	67	84	73	35	75	76	60	25	53	53	75	32	67	0
10	Leo Komarov		X	X		100.00	91	46	92	75	73	63	82	60	43	66	58	81	25	67	68	68	37	66	0
11	Joey Anderson (R)			X		100.00	73	43	96	76	69	64	72	60	45	60	73	84	25	49	49	73	50	65	0
12	Rasmus Ristolainen (A)				X	98.00	94	47	81	86	81	86	91	76	25	68	50	83	75	69	69	70	57	75	0
13	Aaron Ekblad				X	98.00	65	43	88	88	82	86	92	72	25	76	49	82	25	68	69	69	60	74	0
14	Noah Hanifin				X	100.00	77	44	94	88	77	82	92	70	25	58	49	80	63	66	67	67	51	72	0
15	Nikita Zadorov				X	100.00	92	58	72	82	87	74	84	60	25	51	48	79	25	65	66	63	60	70	0
16	John Marino (R)				X	100.00	78	44	88	82	68	80	63	65	25	67	51	82	25	50	50	67	60	68	0
17	Mike Matheson				X	100.00	69	43	91	85	72	75	84	60	25	54	56	74	25	63	64	66	60	68	0
Rayé
1	Travis Konecny	X	X	X		94.41	75	43	87	86	63	74	91	85	44	88	86	64	59	63	64	82	50	74	0
2	Filip Forsberg		X	X		64.27	78	54	86	86	76	76	81	84	34	81	84	59	70	70	72	80	46	73	0
3	Gabriel Vilardi (R)	X				100.00	57	41	87	80	76	63	48	68	87	75	75	54	25	44	44	69	31	63	0
4	Martin Frk			X		100.00	71	43	91	74	75	66	66	71	25	61	80	58	25	48	48	72	19	63	0

	MOYENNE D'ÉQUIPE					97.76	74	45	87	84	73	75	84	74	43	74	72	70	48	63	64	74	51	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	Tristan Jarry	100.00	77	74	76	76	81	74	71	77	80	77	75	52	52	61	60	72	0
2	Ilya Samsonov	100.00	70	63	65	80	72	67	68	71	74	70	75	46	46	56	60	67	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	74	69	71	78	77	71	70	74	77	74	75	49	49	59	60	70

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Barry Trotz	88	89	80	83	86	80	61	CAN	57	2	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	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	J.T. Miller	Flyers	C/LW/RW	39	17	24	41	2	24	0	74	51	123	26	81	13.82%	19	727	18.66	2	4	6	8	73	0	0	0	0	17	1	1	55.88%	374	23	10	0	1.13	0	3	0	0	4	1	4
2	Patrick Kane	Flyers	LW/RW	39	15	15	30	-15	12	0	31	33	132	46	85	11.36%	14	753	19.33	3	3	6	9	83	0	0	0	0	4	2	1	38.18%	55	37	12	0	0.80	1	4	0	0	2	2	0
3	Leon Draisaitl	Flyers	C/LW	36	11	18	29	-12	4	0	30	64	107	33	83	10.28%	12	715	19.86	4	5	9	13	79	0	0	0	1	25	1	1	53.96%	834	27	14	0	0.81	1	4	0	0	2	1	2
4	Travis Konecny	Flyers	C/LW/RW	39	5	17	22	-7	2	0	57	45	98	34	54	5.10%	15	686	17.61	1	4	5	9	72	0	0	0	2	17	2	0	34.50%	313	14	9	0	0.64	0	0	0	0	2	1	0
5	Jakub Vrana	Flyers	LW/RW	39	11	8	19	0	4	0	27	35	83	26	52	13.25%	8	597	15.31	2	0	2	4	43	0	0	0	0	4	2	1	29.17%	24	25	11	0	0.64	0	3	0	0	0	2	2
6	Filip Forsberg	Flyers	LW/RW	30	8	9	17	-3	13	5	47	25	65	14	31	12.31%	14	484	16.16	1	1	2	2	43	0	0	0	0	0	1	0	30.00%	30	16	8	0	0.70	0	0	0	1	1	1	0
7	Kevin Fiala	Flyers	LW/RW	38	7	9	16	-2	18	0	51	33	102	30	64	6.86%	13	590	15.53	1	2	3	5	45	0	0	0	0	0	2	0	41.46%	41	17	9	0	0.54	0	0	0	0	1	0	3
8	Calle Jarnkrok	Flyers	C/LW/RW	39	4	11	15	0	4	0	24	41	94	25	38	4.26%	17	570	14.64	0	0	0	0	3	0	0	0	2	31	0	0	39.83%	236	17	13	0	0.53	0	0	0	0	0	1	2
9	Kevin Labanc	Flyers	LW/RW	31	9	4	13	-1	0	0	28	23	53	11	27	16.98%	8	405	13.09	1	0	1	1	4	0	0	0	0	2	1	0	15.00%	20	6	5	0	0.64	0	1	0	0	2	0	0
10	Aaron Ekblad	Flyers	D	39	3	8	11	-11	8	0	28	59	49	22	19	6.12%	50	878	22.52	0	1	1	5	90	0	0	0	0	46	0	1	0.00%	0	14	25	1	0.25	0	0	0	0	1	0	0
11	Rasmus Ristolainen	Flyers	D	39	1	10	11	-12	19	5	102	79	50	22	20	2.00%	47	941	24.15	1	4	5	4	90	0	0	0	2	61	0	0	0.00%	0	15	36	0	0.23	2	3	1	0	0	0	2
12	Scott Laughton	Flyers	C/LW/RW	39	5	5	10	5	6	0	52	41	68	20	41	7.35%	13	492	12.64	0	0	0	0	1	1	0	1	4	57	3	0	49.48%	289	14	6	0	0.41	0	0	0	0	0	3	1
13	Noah Hanifin	Flyers	D	40	0	9	9	-8	4	0	48	64	39	18	24	0.00%	56	845	21.13	0	1	1	1	17	0	1	1	1	65	0	0	0.00%	0	8	48	0	0.21	0	0	0	0	0	0	0
14	Mike Matheson	Flyers	D	39	0	7	7	7	2	0	12	47	36	15	15	0.00%	32	647	16.60	0	0	0	2	41	0	0	0	0	8	0	0	0.00%	0	1	23	0	0.22	0	0	0	0	0	0	0
15	Nikita Zadorov	Flyers	D	39	0	7	7	2	32	0	70	40	25	12	9	0.00%	45	693	17.77	0	0	0	0	12	0	0	0	0	34	0	0	0.00%	0	4	26	0	0.20	0	0	0	0	0	0	0
16	Martin Necas	Flyers	C/LW/RW	17	5	2	7	-4	2	0	21	6	44	10	21	11.36%	3	158	9.32	0	0	0	0	0	0	0	0	0	0	0	0	34.78%	23	11	2	0	0.88	0	0	0	0	1	0	0
17	John Marino	Flyers	D	39	0	6	6	-2	0	0	36	43	25	14	19	0.00%	43	715	18.34	0	0	0	2	49	0	0	0	0	16	0	0	0.00%	0	4	14	0	0.17	0	0	0	0	0	0	0
18	Leo Komarov	Flyers	LW/RW	37	2	4	6	0	4	0	32	24	32	14	31	6.25%	8	371	10.04	0	0	0	0	2	0	0	0	0	45	0	0	10.00%	10	12	9	0	0.32	0	0	0	0	0	1	0
19	Joey Anderson	Flyers	RW	32	5	0	5	-1	0	0	16	25	26	7	14	19.23%	8	286	8.95	0	0	0	0	0	0	0	0	0	20	2	1	20.00%	5	5	5	0	0.35	0	0	0	0	0	1	0
20	Gabriel Vilardi	Flyers	C	16	1	3	4	-1	2	0	6	9	29	3	12	3.45%	2	114	7.15	0	0	0	0	0	0	0	0	0	0	0	0	51.22%	41	7	1	0	0.70	0	0	0	0	0	1	0
21	Martin Frk	Flyers	RW	2	0	0	0	-1	0	0	0	0	0	0	0	0.00%	0	0	0.17	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	0	0	0.00	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				708	109	176	285	-64	160	10	792	787	1280	402	740	8.52%	427	11677	16.49	16	25	41	65	755	1	1	2	12	460	17	6	47.56%	2296	277	286	1	0.49	4	18	1	1	16	15	16

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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	SO	GA	SA	SAR	PS %	PSA	ST	BG	S1	S2	S3
1	Tristan Jarry	Flyers	29	14	13	2	0.905	3.32	1665	1	92	967	500	0.765	17	29	10	3	2	1
2	Ilya Samsonov	Flyers	13	5	5	0	0.916	2.85	694	0	33	393	216	0.000	0	10	29	1	0	1
Stats d'équipe Total ou en Moyenne			42	19	18	2	0.908	3.18	2360	1	125	1360	716	0.765	17	39	39	4	2	2

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Astuces sur les Filtres (Anglais seulement)

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

Nom du 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	Link
Aaron Ekblad	Flyers	D	25	1996-02-07	No	216 Lbs	6 ft5	No	No	No	2	Pro & Farm	5,000,000$	5,000,000$	2,666,667$	No	5,000,000$		Lien
Calle Jarnkrok	Flyers	C/LW/RW	29	1991-09-25	No	186 Lbs	5 ft11	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	1,066,667$	No	2,000,000$		Lien
Filip Forsberg (Sur la Masse Salariale)	Flyers	LW/RW	26	1994-08-13	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	6,000,000$	6,000,000$	3,200,000$	No			Lien
Gabriel Vilardi	Flyers	C	21	1999-08-15	Yes	201 Lbs	6 ft3	No	No	No	1	Pro & Farm	894,168$	894,168$	476,890$	No			Lien
Ilya Samsonov	Flyers	G	24	1997-02-21	No	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	925,000$	493,333$	No	925,000$		Lien
J.T. Miller	Flyers	C/LW/RW	27	1993-03-13	No	218 Lbs	6 ft1	No	No	No	3	Pro & Farm	5,250,000$	5,250,000$	2,800,000$	No	5,250,000$	5,250,000$	Lien
Jakub Vrana	Flyers	LW/RW	24	1996-02-28	No	197 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,350,000$	3,350,000$	1,786,667$	No			Lien
Joey Anderson	Flyers	RW	22	1998-06-19	Yes	190 Lbs	5 ft11	No	No	No	3	Pro & Farm	750,000$	750,000$	400,000$	No	750,000$	750,000$	Lien
John Marino	Flyers	D	23	1997-05-21 06:26:54	Yes	181 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	925,000$	493,333$	No			Lien
Kevin Fiala	Flyers	LW/RW	24	1996-07-22	No	193 Lbs	5 ft10	No	No	No	1	Pro & Farm	3,000,000$	3,000,000$	1,600,000$	No			Lien
Kevin Labanc	Flyers	LW/RW	25	1995-12-12	No	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	533,333$	No			Lien
Leo Komarov	Flyers	LW/RW	34	1987-01-23	No	209 Lbs	5 ft11	No	No	No	1	Pro & Farm	3,000,000$	3,000,000$	1,600,000$	No			Lien
Leon Draisaitl	Flyers	C/LW	25	1995-10-26	No	215 Lbs	6 ft2	No	No	No	1	Pro & Farm	8,250,000$	8,250,000$	4,400,000$	No			Lien
Martin Frk	Flyers	RW	27	1993-10-04	No	205 Lbs	6 ft1	No	No	No	2	Pro & Farm	725,000$	725,000$	386,667$	No	725,000$		Lien
Martin Necas	Flyers	C/LW/RW	22	1999-01-14	No	167 Lbs	6 ft1	No	No	No	2	Pro & Farm	863,333$	863,333$	460,444$	No	863,333$		Lien
Mike Matheson	Flyers	D	26	1994-02-27	No	192 Lbs	6 ft2	No	No	No	2	Pro & Farm	4,875,000$	4,875,000$	2,600,000$	No	4,875,000$		Lien
Nikita Zadorov	Flyers	D	25	1995-04-15	No	230 Lbs	6 ft5	No	No	No	1	Pro & Farm	3,200,000$	3,200,000$	1,706,667$	No			Lien
Noah Hanifin	Flyers	D	24	1997-01-25	No	206 Lbs	6 ft3	No	No	No	3	Pro & Farm	4,950,000$	4,950,000$	2,640,000$	No	4,950,000$	4,950,000$	Lien
Patrick Kane	Flyers	LW/RW	32	1988-11-19	No	177 Lbs	5 ft11	No	No	No	3	Pro & Farm	10,500,000$	10,500,000$	5,600,000$	No	10,500,000$	10,500,000$	Lien
Rasmus Ristolainen	Flyers	D	26	1994-10-27	No	218 Lbs	6 ft4	No	No	No	1	Pro & Farm	5,400,000$	5,400,000$	2,880,000$	No			Lien
Scott Laughton	Flyers	C/LW/RW	26	1994-05-29	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,300,000$	2,300,000$	1,226,667$	No			Lien
Travis Konecny (Sur la Masse Salariale)	Flyers	C/LW/RW	23	1997-03-11	No	175 Lbs	5 ft10	No	No	No	3	Pro & Farm	5,500,000$	5,500,000$	2,933,333$	No	5,500,000$	5,500,000$	Lien
Tristan Jarry	Flyers	G	25	1995-04-25	No	194 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	700,000$	373,333$	No			Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	25.43	198 Lbs	6 ft1	1.70	3,450,326$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
79,357,501$	41,338,333$	26,950,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1		Leon Draisaitl	Patrick Kane	35	0	4	1
2	Kevin Labanc	J.T. Miller	Jakub Vrana	30	0	4	1
3	Scott Laughton	Calle Jarnkrok	Kevin Fiala	25	0	4	1
4	Leo Komarov	Martin Necas	Joey Anderson	10	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Aaron Ekblad	40	0	4	1
2	Noah Hanifin	Nikita Zadorov	35	0	4	1
3	John Marino	Mike Matheson	25	0	5	0
4	Rasmus Ristolainen	Aaron Ekblad	0	0	3	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	J.T. Miller	Leon Draisaitl	Patrick Kane	60	0	1	4
2	Kevin Fiala		Jakub Vrana	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Aaron Ekblad	60	0	1	4
2	Noah Hanifin	John Marino	40	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Scott Laughton	Leo Komarov	60	1	4	0
2	Joey Anderson	Calle Jarnkrok	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Aaron Ekblad	60	0	5	0
2	Noah Hanifin	Nikita Zadorov	40	0	5	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Leon Draisaitl	60	0	5	0	Rasmus Ristolainen	Aaron Ekblad	60	0	5	0
2	J.T. Miller	40	0	5	0	Noah Hanifin	Nikita Zadorov	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Leon Draisaitl	J.T. Miller	60	0	2	3
2		Patrick Kane	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Rasmus Ristolainen	Aaron Ekblad	60	0	2	3
2	Noah Hanifin	John Marino	40	0	2	3

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
J.T. Miller	Leon Draisaitl	Patrick Kane	Rasmus Ristolainen	Aaron Ekblad

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
J.T. Miller	Leon Draisaitl	Patrick Kane	Rasmus Ristolainen	Aaron Ekblad

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Calle Jarnkrok, Scott Laughton, Kevin Labanc	Calle Jarnkrok, Scott Laughton	Kevin Labanc

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
John Marino, Mike Matheson, Noah Hanifin	John Marino	Mike Matheson, Noah Hanifin

Tirs de Pénalité
Patrick Kane, J.T. Miller, Leon Draisaitl, Jakub Vrana, Rasmus Ristolainen

Gardien
#1 : Tristan Jarry, #2 : Ilya Samsonov

Lignes d'Attaque Perso. en Prol.
Leon Draisaitl, J.T. Miller, Patrick Kane, , Kevin Fiala, Jakub Vrana, Jakub Vrana, Calle Jarnkrok, Scott Laughton, Kevin Labanc, Martin Necas

Lignes de Défense Perso. en Prol.
Rasmus Ristolainen, Aaron Ekblad, Noah Hanifin, Nikita Zadorov, John Marino

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	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	0	2	1	0	28	13	12	3	0	25	14	0	19	0	0	0.00%	0	0	0.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	20	11	21	9	18	8
2	Blues	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	8	14	0	0	1	4	1	0	63	14	29	20	0	55	24	4	37	4	1	25.00%	2	0	100.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	41	24	40	18	38	19
3	Bruins	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	1	1	0	0	26	6	14	6	0	36	6	4	20	1	0	0.00%	2	1	50.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	22	13	21	9	16	7
4	Canadiens	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	0	1	0	28	10	13	5	0	33	13	6	15	1	0	0.00%	3	1	66.67%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	20	12	22	8	16	8
5	Canucks	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	2	1.000	3	3	6	0	1	1	0	2	0	22	8	7	7	0	23	9	8	26	3	1	33.33%	4	0	100.00%	1	411	841	48.87%	420	853	49.24%	261	590	44.24%	20	9	20	10	19	9
6	Capitals	2	1	0	0	0	0	0	1	9	8	1	1	1	0	0	0	0	0	0	6	4	2	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	9	15	24	0	0	4	3	2	0	67	30	20	13	7	75	22	8	36	2	0	0.00%	4	2	50.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	42	26	47	17	34	17
7	Ducks	2	0	0	0	2	0	0	0	9	7	2	2	0	0	0	2	0	0	0	9	7	2	0	0	0	0	0	0	0	0	0	0	0	4	1.000	9	13	22	0	0	1	4	2	2	64	20	27	14	3	64	22	8	37	9	2	22.22%	4	0	100.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	41	21	42	18	38	19
8	Flames	4	2	2	0	0	0	0	0	9	12	-3	3	1	2	0	0	0	0	0	5	10	-5	1	1	0	0	0	0	0	0	4	2	2	4	0.500	9	16	25	0	0	4	2	3	0	123	49	29	45	0	151	43	26	90	6	0	0.00%	13	6	53.85%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	84	48	84	36	71	34
9	Islanders	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	4	6	0	0	1	1	0	1	38	14	13	8	9	39	9	0	19	3	0	0.00%	0	0	0.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	24	15	23	9	17	8
10	Kraken	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	3	6	9	0	0	1	1	1	0	30	12	8	10	0	41	9	4	25	0	0	0.00%	2	2	0.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	20	12	22	7	17	7
11	Lightning	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	0	1	2	0	33	4	18	11	0	45	9	0	20	1	1	100.00%	0	0	0.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	21	13	23	8	15	7
12	Maple Leafs	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	0	0	2	0	31	6	8	17	0	28	14	9	21	2	0	0.00%	2	0	100.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	21	11	20	9	18	8
13	Maroons	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	0	2	1	0	40	6	22	12	0	40	12	17	17	2	0	0.00%	6	2	66.67%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	22	14	21	8	15	7
14	Nordiques	5	3	2	0	0	0	0	0	15	15	0	3	2	1	0	0	0	0	0	10	8	2	2	1	1	0	0	0	0	0	5	7	-2	6	0.600	15	23	38	0	0	2	7	6	0	159	53	61	45	0	187	58	14	99	18	4	22.22%	7	1	85.71%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	114	68	96	41	88	46
15	Oilers	3	1	1	0	0	0	1	0	11	11	0	1	1	0	0	0	0	0	0	3	1	2	2	0	1	0	0	0	1	0	8	10	-2	4	0.667	11	16	27	0	0	4	3	3	1	115	36	30	49	5	104	39	8	65	9	1	11.11%	4	1	75.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	72	45	60	26	52	25
16	Panthers	2	0	1	0	0	0	1	0	6	6	0	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	0	0	1	0	6	6	0	2	0.500	6	10	16	0	0	2	2	1	2	80	35	22	20	7	72	22	2	40	4	0	0.00%	1	0	100.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	49	31	41	16	34	18
17	Penguins	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	2	4	0	0	1	1	0	0	32	5	16	11	0	27	9	4	21	4	0	0.00%	2	1	50.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	22	13	19	9	17	9
18	Rangers	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	3	2	1	2	0.500	6	11	17	0	0	2	2	2	0	65	24	25	16	0	73	23	12	52	2	1	50.00%	6	1	83.33%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	42	25	42	15	34	17
19	Red Wings	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	9	14	0	0	0	2	3	0	35	7	14	14	0	24	6	0	16	3	2	66.67%	0	0	0.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	22	14	19	9	17	8
20	Sabres	3	1	2	0	0	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	3	8	-5	1	1	0	0	0	0	0	0	2	1	1	2	0.333	5	8	13	0	0	1	2	2	0	94	30	25	39	0	115	19	16	57	6	2	33.33%	8	0	100.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	65	39	63	26	51	25
21	Senateurs	2	1	1	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	4	6	10	0	0	1	2	1	0	75	17	28	30	0	72	33	2	41	4	1	25.00%	1	1	0.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	47	30	41	14	31	16
22	Wild	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	0	1	1	0	32	12	7	13	0	31	9	8	17	4	0	0.00%	4	1	75.00%	0	411	841	48.87%	420	853	49.24%	261	590	44.24%	20	11	22	9	17	8
	Total	39	15	18	0	2	0	2	2	111	127	-16	20	7	11	0	2	0	0	0	56	71	-15	19	8	7	0	0	0	2	2	55	56	-1	40	0.513	111	176	287	0	1	27	43	37	6	1280	411	448	408	31	1360	424	160	790	88	16	18.18%	75	20	73.33%	1	411	841	48.87%	420	853	49.24%	261	590	44.24%	860	515	818	341	682	341
	_Since Last GM Reset	39	15	18	0	2	0	2	2	111	127	-16	20	7	11	0	2	0	0	0	56	71	-15	19	8	7	0	0	0	2	2	55	56	-1	40	0.513	111	176	287	0	1	27	43	37	6	1280	411	448	408	31	1360	424	160	790	88	16	18.18%	75	20	73.33%	1	411	841	48.87%	420	853	49.24%	261	590	44.24%	860	515	818	341	682	341
	_Vs Conference	29	12	13	0	2	0	1	1	80	94	-14	18	6	10	0	2	0	0	0	50	66	-16	11	6	3	0	0	0	1	1	30	28	2	31	0.534	80	125	205	0	1	19	31	27	4	943	314	323	296	17	1019	323	140	585	67	12	17.91%	65	15	76.92%	1	411	841	48.87%	420	853	49.24%	261	590	44.24%	635	376	606	252	510	257
	_Vs Division	17	9	7	0	0	0	0	1	49	53	-4	10	5	5	0	0	0	0	0	30	34	-4	7	4	2	0	0	0	0	1	19	19	0	19	0.559	49	79	128	0	1	14	18	17	0	551	187	192	168	7	621	200	87	361	37	7	18.92%	41	13	68.29%	1	411	841	48.87%	420	853	49.24%	261	590	44.24%	375	224	354	145	295	148

			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
39	40	SOW1	111	176	287	1280	1360	424	160	790	0	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	15	18	2	0	2	2	111	127

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	7	11	2	0	0	0	56	71

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	8	7	0	0	2	2	55	56

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	4	1	0	1	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
88	16	18.18%	75	20	73.33%	1

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
411	448	408	31	27	43	37	6

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
411	841	48.87%	420	853	49.24%	261	590	44.24%

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
860	515	818	341	682	341

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
2 - 2020-11-11	19	Flames	2	Flyers	3	W			Sommaire du Match
4 - 2020-11-13	33	Maroons	5	Flyers	3	L			Sommaire du Match
5 - 2020-11-14	54	Flyers	3	Capitals	4	L	X	X	Sommaire du Match
7 - 2020-11-16	64	Nordiques	4	Flyers	2	L			Sommaire du Match
8 - 2020-11-17	78	Flyers	2	Oilers	5	L			Sommaire du Match
11 - 2020-11-20	94	Ducks	3	Flyers	4	W	X		Sommaire du Match
13 - 2020-11-22	110	Flyers	3	Canucks	0	W			Sommaire du Match
16 - 2020-11-25	131	Flames	5	Flyers	1	L			Sommaire du Match
18 - 2020-11-27	144	Flyers	4	Flames	2	W			Sommaire du Match
19 - 2020-11-28	162	Nordiques	2	Flyers	3	W			Sommaire du Match
21 - 2020-11-30	177	Flyers	2	Bruins	4	L			Sommaire du Match
22 - 2020-12-01	189	Maple Leafs	6	Flyers	2	L			Sommaire du Match
24 - 2020-12-03	207	Flyers	3	Panthers	4	L			Sommaire du Match
25 - 2020-12-04	220	Flyers	3	Blues	2	W			Sommaire du Match
27 - 2020-12-06	230	Senateurs	2	Flyers	3	W			Sommaire du Match
29 - 2020-12-08	251	Capitals	4	Flyers	6	W			Sommaire du Match
31 - 2020-12-10	268	Flyers	5	Red Wings	1	W			Sommaire du Match
32 - 2020-12-11	280	Flyers	3	Rangers	2	W			Sommaire du Match
33 - 2020-12-12	291	Flames	3	Flyers	1	L			Sommaire du Match
36 - 2020-12-15	315	Flyers	3	Avalanche	1	W			Sommaire du Match
37 - 2020-12-16	321	Blues	2	Flyers	3	W			Sommaire du Match
39 - 2020-12-18	342	Flyers	1	Senateurs	4	L			Sommaire du Match
40 - 2020-12-19	358	Sabres	4	Flyers	1	L			Sommaire du Match
43 - 2020-12-22	374	Flyers	2	Penguins	3	L			Sommaire du Match
45 - 2020-12-24	385	Rangers	5	Flyers	3	L			Sommaire du Match
47 - 2020-12-26	402	Flyers	2	Nordiques	5	L			Sommaire du Match
48 - 2020-12-27	415	Canadiens	3	Flyers	1	L			Sommaire du Match
51 - 2020-12-30	437	Oilers	1	Flyers	3	W			Sommaire du Match
53 - 2021-01-01	453	Flyers	3	Panthers	2	W	X	X	Sommaire du Match
55 - 2021-01-03	471	Lightning	4	Flyers	3	L			Sommaire du Match
57 - 2021-01-05	489	Flyers	2	Sabres	1	W			Sommaire du Match
58 - 2021-01-06	504	Ducks	4	Flyers	5	W	X		Sommaire du Match
60 - 2021-01-08	527	Flyers	2	Islanders	3	L	X	X	Sommaire du Match
61 - 2021-01-09	536	Wild	6	Flyers	2	L			Sommaire du Match
63 - 2021-01-11	555	Flyers	3	Kraken	6	L			Sommaire du Match
64 - 2021-01-12	565	Nordiques	2	Flyers	5	W			Sommaire du Match
67 - 2021-01-15	586	Flyers	3	Nordiques	2	W			Sommaire du Match
68 - 2021-01-16	598	Sabres	4	Flyers	2	L			Sommaire du Match
69 - 2021-01-17	609	Flyers	6	Oilers	5	W	X	X	Sommaire du Match
71 - 2021-01-19	628	Wild	-	Flyers	-
73 - 2021-01-21	640	Flyers	-	Wild	-
74 - 2021-01-22	656	Canucks	-	Flyers	-
76 - 2021-01-24	669	Flyers	-	Canucks	-
77 - 2021-01-25	687	Maple Leafs	-	Flyers	-
79 - 2021-01-27	703	Flyers	-	Flames	-
81 - 2021-01-29	718	Flyers	-	Stars	-
83 - 2021-01-31	727	Canadiens	-	Flyers	-
85 - 2021-02-02	749	Flyers	-	Oilers	-
86 - 2021-02-03	758	Kings	-	Flyers	-
89 - 2021-02-06	782	Flyers	-	Avalanche	-
90 - 2021-02-07	788	Golden Knights	-	Flyers	-
92 - 2021-02-09	811	Rangers	-	Flyers	-
94 - 2021-02-11	820	Flyers	-	Stars	-
96 - 2021-02-13	838	Flyers	-	Golden Seals	-
97 - 2021-02-14	848	Capitals	-	Flyers	-
100 - 2021-02-17	872	Flyers	-	Blues	-
101 - 2021-02-18	880	Kraken	-	Flyers	-
103 - 2021-02-20	901	Flyers	-	Senateurs	-
104 - 2021-02-21	909	Flyers	-	Ducks	-
105 - 2021-02-22	918	Kings	-	Flyers	-
107 - 2021-02-24	940	Flyers	-	Capitals	-
109 - 2021-02-26	950	Sharks	-	Flyers	-
111 - 2021-02-28	972	Predators	-	Flyers	-
113 - 2021-03-02	991	Flyers	-	Bruins	-
114 - 2021-03-03	1003	Canucks	-	Flyers	-
115 - 2021-03-04	1019	Flyers	-	Maple Leafs	-
117 - 2021-03-06	1035	Stars	-	Flyers	-
119 - 2021-03-08	1053	Flyers	-	Blackhawks	-
120 - 2021-03-09	1062	Flyers	-	Kings	-
122 - 2021-03-11	1073	Senateurs	-	Flyers	-
124 - 2021-03-13	1090	Flyers	-	Maroons	-
126 - 2021-03-15	1105	Avalanche	-	Flyers	-
128 - 2021-03-17	1120	Flyers	-	Maroons	-
130 - 2021-03-19	1137	Maroons	-	Flyers	-
133 - 2021-03-22	1160	Sharks	-	Flyers	-
134 - 2021-03-23	1169	Flyers	-	Sharks	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
136 - 2021-03-25	1188	Jets	-	Flyers	-
137 - 2021-03-26	1194	Flyers	-	Canadiens	-
141 - 2021-03-30	1219	Panthers	-	Flyers	-
142 - 2021-03-31	1225	Flyers	-	Rangers	-
145 - 2021-04-03	1245	Flyers	-	Canadiens	-
148 - 2021-04-06	1265	Maroons	-	Flyers	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des Billets	95	54	33	22	165
Assistance	114,057	94,710	38,709	76,982	18,989
Attendance PCT	95.05%	94.71%	96.77%	96.23%	94.95%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
21	17172 - 95.40%	1,643,019$	32,860,371$	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
36,590,566$	67,857,501$	43,107,501$	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
67,857,501$	36,590,566$	0$	21	2

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
34,503,390$	80	461,203$	36,896,240$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Compte Bancaire Actuel	Compte Bancaire Projeté
38,007,665$	16,047,214$	14,596,158$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
69,515,501$	12,984,499$	82,500,000$	6,515,501$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Leon Draisaitl	AGE:25	PO:88	OV:81
J.T. Miller	AGE:27	PO:84	OV:79
Patrick Kane	AGE:32	PO:84	OV:78
Travis Konecny	AGE:23	PO:82	OV:74
Filip Forsberg	AGE:26	PO:80	OV:73
Kevin Fiala	AGE:24	PO:79	OV:72
Jakub Vrana	AGE:24	PO:79	OV:71
Calle Jarnkrok	AGE:29	PO:75	OV:70
Scott Laughton	AGE:26	PO:77	OV:69
Kevin Labanc	AGE:25	PO:73	OV:69
Martin Necas	AGE:22	PO:75	OV:67
Leo Komarov	AGE:34	PO:68	OV:66
Dryden Hunt	AGE:25	PO:64	OV:62
Brendan Perlini	AGE:24	PO:62	OV:62
Lias Andersson	AGE:22	PO:64	OV:61
Tanner Kero	AGE:28	PO:63	OV:61
Jesper Boqvist (R)	AGE:22	PO:64	OV:60
A.J. Greer	AGE:24	PO:64	OV:60
Zac Dalpe	AGE:31	PO:64	OV:59
Givani Smith	AGE:22	PO:63	OV:59
Joshua Ho-Sang (R)	AGE:25	PO:62	OV:59
Dennis Yan	AGE:23	PO:60	OV:57
Ty Lewis	AGE:22	PO:52	OV:51

Leon Draisaitl	AGE:25	PO:88	OV:81
J.T. Miller	AGE:27	PO:84	OV:79
Travis Konecny	AGE:23	PO:82	OV:74
Calle Jarnkrok	AGE:29	PO:75	OV:70
Scott Laughton	AGE:26	PO:77	OV:69
Martin Necas	AGE:22	PO:75	OV:67
Gabriel Vilardi (R)	AGE:21	PO:69	OV:63
Lias Andersson	AGE:22	PO:64	OV:61
Tanner Kero	AGE:28	PO:63	OV:61
Jesper Boqvist (R)	AGE:22	PO:64	OV:60
Zac Dalpe	AGE:31	PO:64	OV:59
Joshua Ho-Sang (R)	AGE:25	PO:62	OV:59
Jon Martin	AGE:25	PO:61	OV:57
German Rubtsov	AGE:22	PO:59	OV:54

J.T. Miller	AGE:27	PO:84	OV:79
Patrick Kane	AGE:32	PO:84	OV:78
Travis Konecny	AGE:23	PO:82	OV:74
Filip Forsberg	AGE:26	PO:80	OV:73
Kevin Fiala	AGE:24	PO:79	OV:72
Jakub Vrana	AGE:24	PO:79	OV:71
Calle Jarnkrok	AGE:29	PO:75	OV:70
Scott Laughton	AGE:26	PO:77	OV:69
Kevin Labanc	AGE:25	PO:73	OV:69
Martin Necas	AGE:22	PO:75	OV:67
Leo Komarov	AGE:34	PO:68	OV:66
Joey Anderson (R)	AGE:22	PO:73	OV:65
Martin Frk	AGE:27	PO:72	OV:63
Brendan Perlini	AGE:24	PO:62	OV:62
A.J. Greer	AGE:24	PO:64	OV:60
Zac Dalpe	AGE:31	PO:64	OV:59
Givani Smith	AGE:22	PO:63	OV:59
Joshua Ho-Sang (R)	AGE:25	PO:62	OV:59
MacKenzie Entwistle (R)	AGE:21	PO:61	OV:58
Jon Martin	AGE:25	PO:61	OV:57
Max Veronneau	AGE:25	PO:58	OV:54

Défense #1

Défense #2

Gardien

Rasmus Ristolainen	AGE:26	PO:70	OV:75
Aaron Ekblad	AGE:25	PO:69	OV:74
Noah Hanifin	AGE:24	PO:67	OV:72
Nikita Zadorov	AGE:25	PO:63	OV:70
John Marino (R)	AGE:23	PO:67	OV:68
Mike Matheson	AGE:26	PO:66	OV:68

Dennis Cholowski	AGE:23	PO:61	OV:64
Joey Keane (R)	AGE:21	PO:60	OV:59
Chase Priskie (R)	AGE:24	PO:58	OV:58
Dean Kukan	AGE:27	PO:56	OV:58
Alexander Petrovic	AGE:28	PO:54	OV:58
Jeremy Groleau (R)	AGE:21	PO:51	OV:56

Tristan Jarry	AGE:25	PO:61	OV:72
Ilya Samsonov	AGE:24	PO:56	OV:67
Cayden Primeau (R)	AGE:21	PO:62	OV:61
Oscar Dansk	AGE:26	PO:61	OV:61
Alex Lyon	AGE:28	PO:47	OV:60
Hunter Miska	AGE:25	PO:46	OV:58
Kevin Lankinen	AGE:25	PO:55	OV:56

Éspoirs

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Lien
Adam Ginning	Flyers	2018	51
Alec Regula	Flyers	2018	80
Alexander Campbell	Flyers	2019	72
Arsen Khisamutdinov	Flyers	2019	192
Ben Meehan	Flyers	2020	144
Brock Faber	Flyers	2020	81
Cole Schwindt	Flyers	2019	104
Connor LaCouvee	Flyers			Lien
Dmitri Zhukenov	Flyers	2015	180
Dylan Cozens	Flyers	2019	8
Emil Andrae	Flyers	2020	51
Emil Viro	Flyers	2020	82
Filip Barklund	Flyers	2020	175
Filip Johansson	Flyers	2018	43
Grant Mismash	Flyers	2017	49
JJ Peterka	Flyers	2020	20
JOHN DAHLSTROM	Flyers	2015	202
Jack Gorniak	Flyers	2018	116
Jackson LaCombe	Flyers	2019	42
Jan Mysak	Flyers	2020	26
Jiri Patera	Flyers	2017	163
Josh HoSang	Flyers	2014	25
Juuso Valimaki	Flyers			Lien
Linus Oberg	Flyers	2020	206
Logan Neaton	Flyers	2019	162
Marcus Davidsson	Flyers	2017	45
Patrik Puistola	Flyers	2019	56
Pontus Sjalin	Flyers	2014	175
Roman Durny	Flyers	2018	170
Ronnie Attard	Flyers	2019	102
Ryan Francis	Flyers	2020	147
Ryan Merkley	Flyers	2018	25
Tyler Madden	Flyers	2018	81
Tyler Nanne	Flyers	2014	165
Vasili Ponomaryov	Flyers	2020	54
Vladislav Firstov	Flyers	2019	39
Vladislav Kolyachonok	Flyers	2019	55
Wade Allison	Flyers	2016	65
Yegor Zaitsev	Flyers	2017	199
Zayde Wisdom	Flyers	2020	117

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2021	PHI		EDM TAM	PHI	PHI FLA	PHI	PHI	PHI
2022	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
2025	PHI	PHI	PHI	PHI	PHI	PHI	PHI	PHI

La base de donnée des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.

[2020-11-18 10:29:46] - Leo Komarov was added to Flyers.
[2020-11-18 10:29:46] - Flyers claimed Leo Komarov from waivers by Flames for 0 $.
[2020-11-18 10:29:41] - Flyers show interest in Leo Komarov from waiver.
[2020-11-13 15:16:55] - Chad Ruhwedel has been selected as assistant for Philadelphia Phantoms.
[2020-11-13 15:16:55] - Unknown Player is no longer as assistant for Philadelphia Phantoms.
[2020-11-13 15:16:55] - Dryden Hunt has been selected as assistant for Philadelphia Phantoms.
[2020-11-13 15:16:55] - Unknown Player is no longer as assistant for Philadelphia Phantoms.
[2020-11-13 15:16:55] - Joshua Ho-Sang has been selected as captain for Philadelphia Phantoms.
[2020-11-13 15:16:55] - Unknown Player is no longer captain for Philadelphia Phantoms.
[2020-11-13 15:16:55] - Leon Draisaitl has been selected as assistant for Flyers.
[2020-11-13 15:16:55] - Unknown Player is no longer as assistant for Flyers.
[2020-11-11 13:19:04] - TRADE : From Lightning to Flyers : Noah Hanifin (72), Zayde Wisdom (P), Y:2021-RND:3-TAM.
[2020-11-11 13:19:04] - TRADE : From Flyers to Lightning : Matt Murray (68), T.J. Brodie (70).
[2020-11-05 08:22:26] - TRADE : From Panthers to Flyers : J.T. Miller (79), Alexander Petrovic (58), Y:2021-RND:5-FLA.
[2020-11-05 08:22:26] - TRADE : From Flyers to Panthers : Vincent Trocheck (70), Otto Leskinen (56), Raphael Lavoie (P).
[2020-10-09 14:03:29] - Flyers drafts Linus Oberg as the #206 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:59:36] - Flyers drafts Filip Barklund as the #175 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:57:06] - Flyers drafts Ryan Francis as the #147 overall pick in the Entry Draft of year 2020.
[2020-10-09 13:56:47] - Flyers drafts Ben Meehan as the #144 overall pick in the Entry Draft of year 2020.
[2020-10-02 08:26:14] - Joshua Ho-Sang signed with Flyers for 863 333 $ for 1 year(s).
[2020-10-02 08:26:14] - Joshua Ho-Sang was added to Flyers.
[2020-10-02 08:25:48] - A.J. Greer signed with Flyers for 741 666 $ for 1 year(s).
[2020-10-02 08:25:48] - A.J. Greer was added to Flyers.
[2020-09-19 09:07:13] - TRADE : From Flyers to Oilers : Brandon Montour (68), Jake Bean (61), Y:2022-RND:2-PHI.
[2020-09-19 09:07:13] - TRADE : From Oilers to Flyers : Aaron Ekblad (73).
[2020-09-11 14:41:58] - TRADE : From Oilers to Flyers : Cole Schwindt (P), Y:2021-RND:3-EDM.
[2020-09-11 14:41:58] - TRADE : From Flyers to Oilers : Casey Cizikas (69).

[2021-02-18 09:07:56] Game 609 - Travis Konecny from Flyers is injured (Sprained Right Ankle) and is out for 1 week.
[2021-02-18 08:58:43] Successfully loaded Flyers lines done with STHS Client - 3.2.7.7
[2021-02-12 15:55:54] German Rubtsov from Philadelphia Phantoms is back from Right Foot Injury.
[2021-02-12 15:54:43] Game 582 - German Rubtsov from Philadelphia Phantoms is injured (Right Foot) and is out for 1 week.
[2021-02-11 16:34:17] Successfully loaded Flyers lines done with STHS Client - 3.2.7.7
[2021-02-05 08:40:05] Brendan Perlini from Philadelphia Phantoms has scored a Hat Trick!
[2021-02-05 08:40:05] Givani Smith from Philadelphia Phantoms has scored a Hat Trick!
[2021-02-04 08:59:35] Successfully loaded Flyers lines done with STHS Client - 3.2.7.7
[2021-02-03 10:21:26] Auto Lines Function has been run for Flyers.
[2021-02-03 10:21:26] Auto Roster Partial Function has been run for Flyers.
[2021-02-02 14:28:06] Auto Lines Function has been run for Flyers.
[2021-02-02 14:28:06] Auto Roster Partial Function has been run for Flyers.

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

	Flyers
	GP: 39 \| W: 19 \| L: 18 \| OTL: 2 \| P: 40 GF: 111 \| GA: 127 \| PP%: 18.18% \| PK%: 73.33% DG: Dany Maheu \| Morale : 50 \| Moyenne d'Équipe : 71 Prochain matchs #628 vs Wild