Ligue de hockey Simulée Ste-Flanelle

Philadelphie
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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	TA	SP
1	Chris Porter	X	X	X		100.00	74	35	90	67	71	50	46	44	35	39	47	61	47	52	46	0	50	53		0
2	Jordin Tootoo			X		100.00	61	61	75	72	64	55	52	44	35	41	46	54	48	70	61	0	50	53	X	0
3	Oskar Sundqvist (R)	X				100.00	55	35	89	68	73	57	42	45	72	44	46	61	48	38	37	0	50	53		0
4	Michael Mersch		X			100.00	49	35	94	67	75	47	34	45	35	44	46	65	47	35	32	0	50	51		0
5	Brandon Kozun			X		100.00	45	35	85	72	47	43	33	45	49	41	48	61	46	35	32	0	50	50		0
6	Nicholas Merkley	X		X		100.00	50	50	50	50	57	50	50	50	50	50	50	50	50	32	30	0	50	49		0
7	Brian Ferlin			X		100.00	47	35	93	64	73	43	31	38	35	44	32	56	46	35	32	0	50	47		0
8	Roope Hintz		X			100.00	45	45	45	45	60	45	45	45	45	45	45	45	45	32	30	0	50	45		0
9	Sebastian Collberg (R)		X	X		100.00	43	45	45	45	55	42	42	43	45	43	43	45	44	32	30	0	50	44		0
10	Michael Amadio (R)	X				100.00	41	43	43	43	63	40	40	41	43	41	41	43	42	32	30	0	50	43		0
11	Martins Dzierkals			X		100.00	43	43	43	43	51	43	43	43	43	43	43	43	43	32	30	0	50	43		0
12	Austin Poganski (R)			X		100.00	38	40	40	40	68	37	37	38	40	38	38	40	39	32	30	0	50	41		0
13	Christoffer Ehn (R)	X				100.00	38	40	40	40	57	37	37	38	40	38	38	40	39	32	30	0	50	40		0
14	Jared Staal			X		100.00	42	87	33	33	70	31	45	32	35	32	32	33	46	35	32	0	50	38		0
15	Jyrki Jokipakka				X	100.00	62	35	87	63	71	65	56	48	35	50	45	67	45	37	34	0	50	57		0
16	Haydn Fleury (R)				X	100.00	52	55	54	54	67	51	51	52	54	52	52	55	53	32	30	0	50	52		0
17	Michael Paliotta				X	100.00	47	35	41	61	69	45	33	40	35	48	31	66	47	35	32	0	50	51		0
18	Matt Grzelcyk (R)				X	100.00	45	35	73	76	51	49	35	31	35	30	32	66	48	35	32	0	50	51		0
19	Alexandre Carrier (R)				X	100.00	49	35	95	75	52	46	35	31	35	30	32	68	48	35	32	0	50	51		0
20	Dillon Simpson (R)				X	100.00	51	35	79	63	63	47	35	31	35	30	32	66	48	35	32	0	50	50		0
21	Sebastien Aho (R)				X	100.00	43	45	45	45	51	42	42	43	45	43	43	45	44	32	30	0	50	44		0
22	Maxim Chudinov (R)				X	100.00	35	37	37	37	58	35	35	35	37	35	35	37	36	32	30	0	50	39		0
23	Nick Petrecki				X	100.00	31	87	33	33	76	31	40	32	35	32	32	33	46	35	32	0	50	38		0
Rayé

	MOYENNE D'ÉQUIPE					100.00	47	45	61	55	63	45	41	41	41	41	40	52	45	36	33	0	50	47

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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	Philippe Desrosiers (R)	100.00	44	45	44	66	44	43	43	43	43	43	42	32	30	0	50	45	0
2	Brandon Halverson (R)	100.00	44	45	44	64	44	43	43	43	43	43	42	32	30	0	50	44	0
Rayé
1	Fredrik Bergvik (R)	100.00	39	40	39	69	39	38	38	38	38	38	37	32	30	0	50	41	0

	MOYENNE D'ÉQUIPE	100.00	42	43	42	66	42	41	41	41	41	41	40	32	30	0	50	43

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Luke Richardson	54	52	65	53	71	72	61	CAN	48	1	500,000$

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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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Jyrki Jokipakka	Phantoms (Phi)	D	68	22	56	78	-3	110	10	93	92	158	12	30	13.92%	111	1500	22.07	17	18	35	104	248	0	0	0	1	230	5	0	0.00%	0	0	0	1.04	0	0	1	0	0	5	6	0
2	Michael Mersch	Phantoms (Phi)	LW	81	31	47	78	-4	10	0	12	94	217	15	33	14.29%	21	1363	16.83	9	16	25	60	287	0	0	0	10	145	1	2	46.88%	96	0	0	1.14	1	4	0	0	0	5	4	2
3	Oskar Sundqvist	Phantoms (Phi)	C	75	24	48	72	-7	12	0	31	184	199	16	36	12.06%	24	1552	20.69	9	25	34	56	287	0	1	1	3	299	3	0	62.73%	1575	0	0	0.93	2	9	0	0	0	3	4	1
4	Chris Porter	Phantoms (Phi)	C/LW/RW	70	22	34	56	-5	24	0	119	110	198	8	35	11.11%	9	1390	19.86	5	14	19	46	256	1	0	1	5	201	3	1	42.84%	691	0	1	0.81	4	8	0	0	0	5	0	6
5	Haydn Fleury	Phantoms (Phi)	D	82	18	33	51	-10	130	20	180	62	117	6	17	15.38%	76	1668	20.35	10	17	27	67	294	0	2	2	1	278	2	1	0.00%	0	1	1	0.61	1	1	1	2	1	4	2	0
6	Nicholas Merkley	Phantoms (Phi)	C/RW	82	19	29	48	-8	69	5	139	134	118	11	27	16.10%	9	1246	15.21	7	10	17	35	241	0	0	0	1	29	1	2	50.52%	1249	0	0	0.77	0	1	0	0	0	0	2	3
7	Jordin Tootoo	Phantoms (Phi)	RW	63	14	31	45	-1	53	5	107	76	128	8	42	10.94%	12	1138	18.07	6	16	22	39	225	2	0	2	8	196	1	0	47.55%	143	0	0	0.79	4	7	0	0	1	1	2	4
8	Matt Grzelcyk	Phantoms (Phi)	D	82	11	27	38	-12	46	0	110	86	98	11	17	11.22%	108	1631	19.90	5	12	17	55	277	0	1	1	1	280	0	3	0.00%	0	0	0	0.47	0	0	0	0	0	2	1	3
9	Alexandre Carrier	Phantoms (Phi)	D	82	12	25	37	-11	36	0	68	83	94	5	6	12.77%	95	1497	18.26	8	5	13	52	212	0	1	1	1	234	2	0	0.00%	0	0	0	0.49	0	0	0	0	0	1	2	3
10	Dillon Simpson	Phantoms (Phi)	D	82	12	23	35	-10	32	0	104	67	76	4	10	15.79%	103	1246	15.20	4	5	9	28	87	0	1	1	0	85	1	0	0.00%	0	0	0	0.56	0	0	0	0	0	1	3	1
11	Brian Ferlin	Phantoms (Phi)	RW	82	14	20	34	-7	12	0	14	66	112	6	22	12.50%	7	897	10.95	0	2	2	1	28	0	0	0	2	14	0	1	52.38%	63	0	0	0.76	0	0	0	0	0	0	3	1
12	Brandon Kozun	Phantoms (Phi)	RW	63	18	12	30	-8	14	0	30	84	124	15	33	14.52%	22	818	13.00	2	2	4	11	62	0	0	0	0	13	1	3	36.84%	38	0	0	0.73	0	2	0	0	0	1	0	5
13	Roope Hintz	Phantoms (Phi)	LW	82	12	9	21	-10	78	10	90	43	86	3	17	13.95%	8	955	11.65	1	0	1	3	79	0	0	0	0	35	3	0	52.33%	86	0	0	0.44	0	0	1	0	1	0	0	0
14	Martins Dzierkals	Phantoms (Phi)	RW	82	6	10	16	-14	16	0	38	17	36	2	6	16.67%	5	410	5.01	1	5	6	7	34	0	0	0	0	4	1	0	25.00%	32	0	0	0.78	0	0	0	0	0	0	2	0
15	Michael Paliotta	Phantoms (Phi)	D	26	2	12	14	3	28	0	41	29	34	5	16	5.88%	19	470	18.11	2	3	5	21	86	0	0	0	0	85	0	0	0.00%	0	0	0	0.59	0	0	0	0	0	0	0	0
16	Michael Amadio	Phantoms (Phi)	C	82	6	8	14	-6	52	10	86	73	41	3	7	14.63%	4	906	11.06	0	1	1	0	21	1	0	1	1	12	0	0	45.18%	903	0	0	0.31	0	0	0	1	1	0	0	0
17	Maxim Chudinov	Phantoms (Phi)	D	68	2	10	12	-3	67	5	80	7	9	3	0	22.22%	32	891	13.11	1	0	1	2	16	0	0	0	0	78	0	0	0.00%	0	0	0	0.27	0	0	1	0	0	0	0	0
18	Sebastien Aho	Phantoms (Phi)	D	26	0	9	9	3	28	0	34	15	9	4	7	0.00%	24	235	9.07	0	0	0	0	0	0	1	1	0	6	0	0	0.00%	0	0	0	0.76	0	0	0	0	0	0	0	1
19	Sebastian Collberg	Phantoms (Phi)	LW/RW	63	4	4	8	-1	10	0	35	10	30	2	10	13.33%	5	443	7.03	1	1	2	5	22	0	0	0	0	45	2	0	42.50%	40	0	0	0.36	0	0	0	0	0	1	0	0
20	Christoffer Ehn	Phantoms (Phi)	C	82	4	3	7	-20	18	0	36	41	20	0	5	20.00%	8	596	7.28	0	0	0	0	7	0	0	0	0	18	0	0	43.01%	579	0	0	0.23	0	0	0	0	0	0	0	0
21	Austin Poganski	Phantoms (Phi)	RW	82	1	3	4	-5	6	0	26	13	11	0	0	9.09%	4	348	4.25	0	2	2	3	44	0	0	0	0	68	0	0	46.62%	148	0	0	0.23	0	0	0	0	0	0	0	0
22	Nick Petrecki	Phantoms (Phi)	D	82	0	1	1	-18	47	5	55	1	4	0	0	0.00%	31	703	8.57	0	0	0	1	48	0	0	0	0	87	0	0	0.00%	0	0	0	0.03	0	0	1	0	0	0	0	0
23	Jared Staal	Phantoms (Phi)	RW	31	0	0	0	-4	6	0	6	5	0	0	0	0.00%	0	94	3.06	0	0	0	0	8	0	0	0	0	61	0	0	38.71%	62	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1618	254	454	708	-161	904	70	1534	1392	1919	139	376	13.24%	737	22011	13.60	88	154	242	596	2879	4	7	11	34	2514	26	13	50.74%	5705	1	2	0.64	12	32	5	3	4	29	31	30

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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	A	EG	PS %	PSA	ST	BG	S1	S2
1	Philippe Desrosiers	Phantoms (Phi)	58	24	21	6	0.877	3.63	3175	2	2	192	1567	1	3	0.826	23	51	28	2	0
2	Brandon Halverson	Phantoms (Phi)	38	13	14	4	0.860	4.02	1775	0	0	119	848	3	0	0.706	17	31	54	0	1
Stats d'équipe Total ou en Moyenne			96	37	35	10	0.871	3.77	4951	2	2	311	2415	4	3	0.775	40	82	82	2	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Alexandre Carrier	Phantoms (Phi)	D	19	1996-10-08	Yes	174 Lbs	5 ft11	No	No	No	4	Contrat d'Entrée	Pro & Farm	640,000$