Ligue de hockey Simulée Ste-Flanelle

Calgary
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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	Daniel Paille		X			100.00	50	35	90	66	69	60	47	47	37	43	49	68	47	68	62	0	50	55	0
2	Tyler Motte (R)	X	X	X		100.00	49	35	84	73	58	53	39	50	50	44	56	65	48	35	32	0	50	54	0
3	Hudson Fasching (R)			X		100.00	52	35	87	65	73	56	36	46	35	45	46	68	48	37	34	0	50	52	0
4	Sergey Tolchinsky (R)		X	X		100.00	52	35	95	78	48	57	35	37	35	38	35	65	45	37	34	0	50	49	0
5	Garrett Wilson		X			100.00	61	50	75	66	69	50	36	33	35	33	33	65	47	40	36	0	50	48	0
6	Max Friberg		X	X		100.00	48	35	84	70	68	49	33	33	35	33	33	63	47	35	32	0	50	47	0
7	Nicolas Kerdiles (R)	X	X			100.00	52	35	95	68	65	52	35	35	45	35	35	57	48	35	33	0	50	47	0
8	Riley Barber (R)			X		100.00	49	35	95	71	65	49	35	35	35	35	35	53	48	35	32	0	50	46	0
9	Eric Cornel (R)	X		X		100.00	43	45	45	45	59	42	42	43	45	43	43	45	44	32	30	0	50	44	0
10	Ryan MacInnis (R)	X				100.00	43	45	45	45	58	42	42	43	45	43	43	45	44	32	30	0	50	44	0
11	Dalton Prout				X	100.00	74	61	61	62	78	65	50	46	35	48	43	66	48	47	43	0	50	58	0
12	Julius Honka (R)				X	100.00	57	35	88	75	62	54	36	49	35	51	47	66	48	35	32	0	50	56	0
13	Karl Stollery				X	100.00	58	35	69	67	55	54	36	43	35	53	32	67	48	40	36	0	50	54	0
14	Brett Kulak (R)				X	100.00	55	35	83	65	60	61	37	41	35	49	32	63	48	37	34	0	50	53	0
15	John Ramage				X	100.00	54	35	94	65	65	54	33	30	35	29	31	71	47	35	32	0	50	52	0
16	Andrey Pedan				X	100.00	70	50	64	65	71	44	34	30	35	29	31	64	47	35	32	0	50	51	0
17	Erik Cernak				X	100.00	45	45	45	45	74	45	45	45	45	45	45	45	45	32	30	0	50	46	0
18	Ville Pokka (R)				X	100.00	43	45	45	45	67	42	42	43	45	43	43	45	44	32	30	0	50	45	0
Rayé
1	Theodor Blueger (R)	X	X			100.00	43	45	45	45	51	42	42	43	45	43	43	45	44	32	30	0	50	44	0
2	Matej Stransky (R)			X		100.00	35	37	37	37	67	35	35	35	37	35	35	37	36	32	30	0	50	39	0
3	Nikolay Prokhorkin (R)		X			100.00	35	37	37	37	64	35	35	35	37	35	35	37	36	32	30	0	50	38	0
4	Anthony Florentino (R)				X	100.00	35	37	37	37	76	35	35	35	37	35	35	37	36	32	30	0	50	40	0
5	Ryan Pilon				X	100.00	37	37	37	37	68	37	37	37	37	37	37	37	37	32	30	0	50	40	0
6	Luc Snuggerud (R)				X	100.00	35	37	37	37	55	35	35	35	37	35	35	37	36	32	30	0	50	38	0

	MOYENNE D'ÉQUIPE					100.00	49	40	66	57	64	48	38	40	39	40	39	55	44	36	34	0	50	48

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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	MacKenzie Blackwood	100.00	45	45	45	86	45	45	45	45	45	45	45	32	30	0	50	48	0
2	Andrey Makarov	100.00	43	45	53	64	43	45	48	43	41	59	58	35	32	0	50	47	0
Rayé
1	Calvin Heeter	100.00	53	45	44	73	47	42	44	41	39	39	38	35	32	0	50	46	0
2	Ilya Sorokin (R)	100.00	42	43	42	60	42	41	41	41	41	41	40	32	30	0	50	43	0

	MOYENNE D'ÉQUIPE	100.00	46	45	46	71	44	43	45	43	42	46	45	34	31	0	50	46

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ted Nolan	80	60	66	87	81	68	74	CAN	59	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	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Karl Stollery	Heat (Cal)	D	82	29	61	90	8	104	10	168	128	199	16	34	14.57%	122	1567	19.11	20	22	42	137	296	2	250	4	3	0.00%	0	0	0	1.15	1	3	0	0	2	8	3	4
2	Julius Honka	Heat (Cal)	D	82	26	63	89	-22	20	0	18	120	264	20	50	9.85%	95	1687	20.58	16	35	51	172	269	2	271	3	4	0.00%	0	1	0	1.05	2	5	0	0	0	3	5	5
3	Dalton Prout	Heat (Cal)	D	82	32	48	80	-23	193	35	330	101	250	16	31	12.80%	90	1640	20.00	25	28	53	175	274	2	232	3	2	0.00%	0	0	0	0.98	2	6	3	1	3	5	9	3
4	Tyler Motte	Heat (Cal)	C/LW/RW	45	18	27	45	9	6	0	29	99	132	0	0	13.64%	12	624	13.89	2	4	6	11	59	0	0	0	1	49.19%	738	0	0	1.44	1	1	0	0	0	2	1	1
5	Matt Nieto	Calgary	LW/RW	18	28	12	40	9	22	0	48	46	142	0	0	19.72%	7	403	22.44	7	7	14	53	66	2	62	3	0	45.11%	133	0	4	1.98	0	1	0	0	0	9	0	2
6	Anton Slepyshev	Calgary	LW/RW	45	17	20	37	9	46	10	72	58	135	0	0	12.59%	3	616	13.70	1	4	5	22	59	0	0	2	2	68.42%	38	0	0	1.20	1	3	1	0	1	2	1	2
7	Hudson Fasching	Heat (Cal)	RW	82	10	12	22	-8	32	0	52	69	111	11	34	9.01%	10	701	8.55	0	0	0	0	0	1	0	1	0	50.00%	60	0	0	0.63	0	3	0	0	0	0	3	1
8	Brett Kulak	Heat (Cal)	D	26	3	17	20	2	21	5	25	15	46	0	0	6.52%	26	482	18.54	2	8	10	35	88	1	75	1	0	0.00%	0	0	0	0.83	0	0	0	1	0	0	1	0
9	John Ramage	Heat (Cal)	D	82	8	12	20	-30	6	0	10	85	85	11	22	9.41%	72	991	12.09	3	5	8	35	53	0	21	1	0	0.00%	0	0	0	0.40	0	2	0	0	0	0	0	0
10	Erik Cernak	Heat (Cal)	D	82	10	10	20	-1	49	5	77	30	53	4	9	18.87%	52	732	8.94	3	2	5	13	22	0	98	0	0	0.00%	0	0	0	0.55	0	0	0	0	1	2	1	1
11	Sergey Tolchinsky	Heat (Cal)	LW/RW	82	8	10	18	-8	26	0	40	83	92	6	13	8.70%	12	701	8.55	0	0	0	0	0	0	0	0	0	44.68%	47	0	0	0.51	0	0	0	0	0	1	0	1
12	Andrey Pedan	Heat (Cal)	D	82	5	11	16	-29	143	25	155	48	43	6	10	11.63%	57	1002	12.23	0	0	0	0	2	2	117	2	0	0.00%	0	0	0	0.32	0	1	2	0	3	0	1	1
13	Kevin Fiala	Calgary	LW/RW	24	9	7	16	1	6	0	30	30	73	0	0	12.33%	1	378	15.76	3	1	4	9	50	2	27	3	1	33.33%	21	0	0	0.85	0	0	0	0	0	1	0	3
14	Ville Pokka	Heat (Cal)	D	82	4	10	14	1	47	5	69	35	36	2	7	11.11%	28	602	7.34	0	0	0	0	0	0	2	1	0	0.00%	0	0	0	0.46	0	0	0	0	1	0	1	1
15	Max Friberg	Heat (Cal)	LW/RW	82	2	6	8	-3	4	0	10	23	32	2	3	6.25%	2	273	3.34	0	0	0	0	0	0	0	0	0	52.63%	19	0	0	0.58	0	0	0	0	0	0	1	0
16	Garrett Wilson	Heat (Cal)	LW	82	3	5	8	-3	41	5	61	31	32	3	6	9.38%	4	273	3.33	0	0	0	0	0	0	0	0	0	50.00%	10	0	0	0.59	0	1	0	1	0	0	0	1
17	Cristoval Nieves	Calgary	C/LW	58	3	2	5	-3	10	0	2	20	24	0	0	12.50%	1	212	3.66	0	0	0	0	0	0	0	0	0	36.44%	236	0	0	0.47	0	0	0	0	0	0	0	0
18	Nicolas Kerdiles	Heat (Cal)	C/LW	82	1	2	3	2	2	0	6	3	6	0	0	16.67%	0	38	0.47	0	1	1	3	12	0	9	1	0	58.82%	17	0	0	1.55	0	0	0	0	0	0	1	0
19	Eric Cornel	Heat (Cal)	C/RW	82	0	0	0	0	2	0	2	3	1	0	0	0.00%	1	46	0.57	0	0	0	0	0	1	43	0	0	47.37%	38	0	0	0.00	0	0	0	0	0	0	0	0
20	Riley Barber	Heat (Cal)	RW	82	0	0	0	0	0	0	1	0	1	0	0	0.00%	0	2	0.03	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1364	216	335	551	-89	780	100	1205	1027	1757	97	219	12.29%	595	12978	9.51	82	117	199	665	1254	15	1212	25	13	46.87%	1359	1	4	0.85	7	26	6	3	11	33	28	26

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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	S3
1	MacKenzie Blackwood	Heat (Cal)	82	33	37	7	0.869	3.78	4369	6	2	275	2104	10	3	0.586	29	82	0	2	3
2	Philipp Grubauer	Calgary	7	5	1	1	0.921	1.42	424	0	1	10	127	0	0	0.600	5	7	0	0	1
3	Andrey Makarov	Heat (Cal)	16	3	2	0	0.929	1.93	592	2	0	19	266	3	0	1.000	5	0	82	0	0
Stats d'équipe Total ou en Moyenne			105	41	40	8	0.878	3.39	5385	8	3	304	2497	13	3	0.641	39	89	82	2	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
Andrey Makarov	Heat (Cal)	G	23	1993-04-20	No	178 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	580,000$