Ligue de hockey Simulée Ste-Flanelle

Colorado
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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	Anthony Duclair		X	X		100.00	53	43	86	74	57	63	71	59	38	57	61	61	52	37	34	0	50	59	0
2	Steve Downie			X		100.00	57	56	46	69	62	54	51	54	45	48	59	63	44	59	51	0	50	56	0
3	Tanner Glass		X	X		100.00	68	56	66	67	74	56	39	48	60	43	52	61	48	65	57	0	50	55	0
4	Jakub Vrana (R)		X	X		100.00	48	35	92	73	66	56	37	53	35	48	58	54	48	35	32	0	50	54	0
5	Corban Knight	X				100.00	49	35	88	66	67	49	35	51	52	52	49	68	44	40	36	0	50	54	0
6	Cal O'Reilly	X				100.00	46	35	94	71	65	53	36	48	52	48	48	63	53	45	40	0	50	53	0
7	Lucas Lessio		X			100.00	56	35	87	66	73	53	35	46	35	42	49	62	54	40	36	0	50	52	0
8	Zach Sill	X	X			100.00	60	50	72	67	69	50	36	42	46	39	44	65	47	42	36	0	50	51	0
9	Colin White (R)	X		X		100.00	45	35	95	68	57	55	35	35	35	35	35	53	45	35	33	0	50	46	0
10	Carter Verhaeghe (R)	X				100.00	41	43	43	43	56	40	40	41	43	41	41	43	42	32	30	0	50	43	0
11	Oscar Moller		X	X		100.00	31	85	35	49	57	31	43	32	35	32	32	55	46	42	37	0	50	41	0
12	Adam Pardy				X	100.00	59	35	74	60	78	63	43	44	35	47	41	68	48	56	49	0	50	57	0
13	Tyson Strachan				X	100.00	53	43	75	60	69	53	35	39	35	47	31	69	47	52	47	0	50	54	0
14	Michael Kostka				X	100.00	52	35	87	63	69	54	34	34	35	37	31	70	47	45	39	0	50	53	0
15	Erik Gustafsson				X	100.00	31	77	43	57	54	31	58	32	35	32	32	57	46	44	39	0	50	46	0
Rayé
1	Ryan Kujawinski (R)	X				100.00	41	43	43	43	71	40	40	41	43	41	41	43	42	32	30	0	50	43	0
2	Kellan Lain	X				100.00	37	85	35	46	74	31	38	32	35	32	32	56	46	35	32	0	50	42	0
3	Matt Buckles (R)	X				100.00	38	40	40	40	71	37	37	38	40	38	38	40	39	32	30	0	50	41	0
4	Nick Moutrey (R)	X	X			100.00	38	40	40	40	72	37	37	38	40	38	38	40	39	32	30	0	50	41	0
5	Dmytro Timashov (R)		X			100.00	35	37	37	37	61	35	35	35	37	35	35	37	36	32	30	0	50	38	0
6	Carl Dahlstrom (R)				X	100.00	43	45	45	45	70	42	42	43	45	43	43	45	44	32	30	0	50	45	0
7	Dominik Masin (R)				X	100.00	43	45	45	45	61	42	42	43	45	43	43	45	44	32	30	0	50	45	0
8	Niklas Hansson (R)				X	100.00	41	43	43	43	53	40	40	41	43	41	41	43	42	32	30	0	50	43	0
9	Mason Geertsen (R)				X	100.00	38	40	40	40	66	37	37	38	40	38	38	40	39	32	30	0	50	41	0
10	Anton Cederholm (R)				X	100.00	35	37	37	37	67	35	35	35	37	35	35	37	36	32	30	0	50	39	0
11	Teemu Kivihalme (R)				X	100.00	35	37	37	37	45	35	35	35	37	35	35	37	36	32	30	0	50	38	0

	MOYENNE D'ÉQUIPE					100.00	45	46	59	54	65	45	40	41	41	41	42	53	44	39	36	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	Calvin Petersen (R)	100.00	36	37	36	67	36	35	35	35	35	35	35	32	30	0	50	39	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	36	37	36	67	36	35	35	35	35	35	35	32	30	0	50	39

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ian Laperriere	65	71	70	65	66	70	68	QUE	43	2	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	Steve Downie	Monsters (Col)	RW	82	43	45	88	50	161	25	256	92	269	15	57	15.99%	14	1457	17.78	12	11	23	64	270	1	1	2	3	119	8	1	48.70%	115	0	2	1.21	1	2	1	3	1	9	6	5
2	Ivan Barbashev	Colorado	C/LW	72	34	53	87	46	8	0	41	138	277	19	46	12.27%	8	1351	18.76	8	14	22	47	257	1	0	1	6	110	7	1	50.30%	165	0	0	1.29	1	3	0	0	0	8	5	9
3	Corban Knight	Monsters (Col)	C	82	26	54	80	33	8	0	50	146	210	21	38	12.38%	11	1535	18.73	6	20	26	36	277	1	1	2	8	217	3	0	54.05%	1815	0	0	1.04	0	0	0	0	0	7	4	3
4	Adam Clendening	Colorado	D	81	12	51	63	25	44	0	105	76	122	3	20	9.84%	69	1755	21.67	5	13	18	68	281	0	1	1	2	129	2	0	0.00%	0	0	0	0.72	0	0	0	0	0	1	3	6
5	Cal O'Reilly	Monsters (Col)	C	82	22	38	60	17	2	0	27	181	180	10	25	12.22%	15	1229	14.99	2	10	12	28	171	0	0	0	2	59	10	1	55.92%	1234	0	1	0.98	1	3	0	0	0	6	2	2
6	Jakub Vrana	Monsters (Col)	LW/RW	71	21	33	54	19	8	0	53	76	186	21	22	11.29%	2	1013	14.27	4	10	14	34	158	0	0	0	0	9	5	0	55.22%	67	0	0	1.07	1	2	0	0	0	2	1	4
7	Tanner Glass	Monsters (Col)	LW/RW	82	23	27	50	27	98	30	163	70	192	15	29	11.98%	5	1032	12.59	1	2	3	11	60	0	0	0	0	9	5	0	59.21%	76	1	0	0.97	0	0	2	1	3	2	5	6
8	Pierre-Edouard Bellemare	Colorado	C/LW/RW	39	20	30	50	26	19	5	31	77	129	0	0	15.50%	12	726	18.63	3	5	8	25	117	1	2	3	11	149	2	0	57.14%	63	0	1	1.38	0	0	0	0	1	4	3	2
9	Adam Pardy	Monsters (Col)	D	81	15	34	49	27	70	0	151	61	89	7	21	16.85%	59	1783	22.02	9	10	19	50	290	0	0	0	1	232	1	1	0.00%	0	0	0	0.55	0	0	0	0	0	0	7	1
10	Lucas Lessio	Monsters (Col)	LW	82	15	31	46	3	36	0	60	75	191	11	36	7.85%	7	1163	14.19	3	8	11	42	227	0	0	0	3	60	1	0	39.39%	66	0	0	0.79	2	4	0	0	0	2	3	0
11	Tyson Strachan	Monsters (Col)	D	82	3	36	39	35	48	0	83	75	63	12	17	4.76%	81	1656	20.20	2	6	8	29	248	0	1	1	1	232	0	1	0.00%	0	0	0	0.47	0	0	0	0	0	0	4	2
12	Michael Kostka	Monsters (Col)	D	78	7	26	33	23	52	0	108	74	73	5	9	9.59%	92	1407	18.05	1	5	6	15	77	0	0	0	2	237	1	0	0.00%	0	0	0	0.47	0	0	0	0	0	1	2	2
13	Slater Koekkoek	Colorado	D	78	10	22	32	25	26	0	68	58	75	9	12	13.33%	64	1641	21.04	6	7	13	37	235	0	3	3	0	223	2	1	0.00%	0	0	0	0.39	0	0	0	0	0	2	4	2
14	Zach Sill	Monsters (Col)	C/LW	82	18	12	30	7	68	10	104	141	129	6	24	13.95%	18	1063	12.96	2	0	2	4	24	0	0	0	6	230	1	0	54.58%	731	0	0	0.56	0	0	0	0	2	1	2	3
15	Brian Flynn	Colorado	C/LW/RW	12	7	11	18	7	0	0	4	28	37	0	0	18.92%	2	190	15.85	2	3	5	8	46	0	1	1	0	22	1	1	62.61%	222	0	0	1.89	0	1	0	0	0	1	2	0
16	Anthony Duclair	Monsters (Col)	LW/RW	18	7	9	16	5	6	0	21	24	44	12	28	15.91%	1	310	17.25	3	3	6	9	76	0	0	0	0	3	0	0	37.50%	24	0	0	1.03	0	0	0	0	0	3	1	1
17	Colin White	Monsters (Col)	C/RW	82	4	10	14	0	6	0	9	51	54	3	8	7.41%	3	840	10.25	0	0	0	1	12	0	0	0	0	6	0	1	36.84%	38	0	0	0.33	0	0	0	0	0	1	1	0
18	Erik Gustafsson	Monsters (Col)	D	82	3	9	12	23	72	10	92	17	17	4	2	17.65%	40	1257	15.34	1	0	1	5	51	0	0	0	0	80	2	0	0.00%	0	0	0	0.19	0	0	0	1	1	0	1	1
19	Maxime Talbot	Colorado	C/LW/RW	5	4	2	6	4	2	0	7	11	17	0	0	23.53%	0	101	20.28	2	0	2	3	17	0	0	0	0	23	1	0	85.71%	7	0	0	1.18	0	0	0	0	0	1	0	1
20	Oscar Moller	Monsters (Col)	LW/RW	82	4	2	6	-20	36	20	31	28	35	1	6	11.43%	5	733	8.95	0	1	1	0	2	0	0	0	0	0	1	1	40.00%	40	0	0	0.16	0	0	1	0	2	0	0	0
21	Carter Verhaeghe	Monsters (Col)	C	43	1	3	4	-19	20	0	25	32	21	0	10	4.76%	1	397	9.26	0	0	0	0	2	0	0	0	0	0	0	0	44.06%	345	0	0	0.20	0	0	0	0	0	0	0	1
22	Scottie Upshall	Colorado	LW/RW	2	0	2	2	2	2	0	3	1	8	0	0	0.00%	1	45	22.58	0	0	0	2	4	0	0	0	0	7	0	0	35.29%	17	0	0	0.89	0	1	0	0	0	0	0	0
23	Nick Moutrey	Monsters (Col)	C/LW	20	0	2	2	-6	4	0	19	2	3	0	0	0.00%	1	199	9.98	0	0	0	0	0	0	0	0	0	0	0	0	37.50%	8	0	0	0.20	0	0	0	0	0	0	0	0
24	Carl Dahlstrom	Monsters (Col)	D	7	0	0	0	4	2	0	11	3	2	0	0	0.00%	2	124	17.73	0	0	0	1	16	0	0	0	0	14	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
25	Dominik Masin	Monsters (Col)	D	1	0	0	0	-1	0	0	2	1	0	0	0	0.00%	0	20	20.97	0	0	0	0	1	0	0	0	0	5	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1428	299	542	841	362	798	100	1524	1538	2423	174	410	12.34%	513	23038	16.13	72	128	200	519	2930	4	10	14	45	2185	53	9	53.61%	5033	1	4	0.73	6	16	4	5	10	51	56	51

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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	A	PS %	PSA	ST	BG	S1	S2
1	Karri Ramo	Colorado	55	41	12	2	0.905	2.19	3181	5	116	1215	2	0.000	0	55	0	2	3
2	Joacim Eriksson	Colorado	20	14	3	2	0.895	2.29	1203	1	46	438	0	0.818	11	19	10	1	1
3	Calvin Petersen	Monsters (Col)	11	2	5	0	0.803	5.32	417	0	37	188	1	0.000	0	8	64	0	0
Stats d'équipe Total ou en Moyenne			86	57	20	4	0.892	2.49	4802	6	199	1841	3	0.818	11	82	74	3	4

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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
Adam Pardy	Monsters (Col)	D	32	1984-03-29	No	227 Lbs	6 ft4	Yes	No	No	6	Sans Restriction	Pro & Farm	1,000,000$