Ligue de hockey Simulée Ste-Flanelle

Tampa Bay
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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	Sergey Kalinin	X	X	X		100.00	64	43	85	71	70	62	55	47	76	44	50	65	48	37	34	0	50	55	0
2	Ronalds Kenins		X			100.00	56	35	82	68	69	53	34	48	49	47	49	63	47	35	33	0	50	53	0
3	Kasperi Kapanen (R)		X	X		100.00	52	35	94	71	73	58	36	44	35	35	52	64	48	38	35	0	50	52	0
4	Tommy Sestito		X			100.00	65	50	30	64	82	48	36	43	35	51	35	54	48	50	46	0	50	50	0
5	Nicklas Jensen (R)		X	X		100.00	60	35	95	69	75	50	35	35	35	35	35	56	48	41	38	0	50	48	0
6	Brody Sutter	X				100.00	51	35	94	64	72	49	33	33	69	33	33	64	44	35	32	0	50	47	0
7	Petr Straka		X	X		100.00	43	35	93	67	58	43	31	33	35	34	32	59	46	35	32	0	50	45	0
8	Ryan Martindale (R)	X				100.00	41	43	43	43	58	40	40	41	43	41	41	43	42	32	30	0	50	43	0
9	Adam Gilmour (R)	X		X		100.00	38	40	40	40	66	37	37	38	40	38	38	40	39	32	30	0	50	41	0
10	John Persson		X			100.00	31	85	35	45	73	31	46	32	35	32	32	54	46	35	32	0	50	41	0
11	Thomas Di Pauli (R)	X	X			100.00	38	40	40	40	59	37	37	38	40	38	38	40	39	32	30	0	50	40	0
12	Spencer Machacek			X		100.00	33	89	31	41	69	31	38	32	35	32	32	42	46	40	36	0	50	39	0
13	Samuel Blais		X			100.00	37	37	37	37	56	37	37	37	37	37	37	37	37	32	30	0	50	39	0
14	Nicolas Deschamps		X			100.00	31	85	35	35	52	31	40	32	35	32	32	35	46	35	32	0	50	36	0
15	Brett Lernout (R)				X	100.00	58	35	95	65	71	59	35	31	35	30	32	69	48	37	34	0	50	53	0
16	Jacob Larsson (R)				X	100.00	47	35	83	65	62	54	35	31	35	30	32	61	48	35	32	0	50	50	0
17	James Melindy (R)				X	100.00	41	43	43	43	60	40	40	41	43	41	41	43	42	32	30	0	50	43	0
18	Calle Andersson (R)				X	100.00	38	40	40	40	69	37	37	38	40	38	38	40	39	32	30	0	50	42	0
19	Adam Polasek (R)				X	100.00	35	37	37	37	62	35	35	35	37	35	35	37	36	32	30	0	50	39	0
Rayé
1	Matt Moulson		X	X		100.00	53	35	90	75	69	65	95	60	35	57	63	60	53	60	52	0	50	62	0
2	Brett Ritchie			X		100.00	72	50	83	71	75	59	56	54	50	45	63	62	48	37	34	0	50	57	0
3	Derek Grant	X				100.00	57	50	83	65	74	55	45	40	86	44	35	72	48	39	36	0	50	52	0
4	Samuel Henley (R)	X	X			100.00	54	35	95	68	74	45	35	39	35	35	42	65	48	35	32	0	50	49	0
5	Carter Ashton		X	X		100.00	53	43	84	65	75	46	33	35	49	38	32	54	46	40	36	0	50	47	0
6	Jamie Arniel	X		X		100.00	31	93	27	32	56	31	37	32	35	32	32	33	46	35	32	0	50	36	0
7	Anthony Bitetto				X	100.00	71	65	76	66	69	59	41	45	35	50	39	61	48	37	34	0	50	55	0
8	Rinat Valiev				X	100.00	47	35	94	66	70	46	33	30	35	29	31	72	47	35	32	0	50	52	0
9	Brendan Guhle (R)				X	100.00	47	35	95	66	59	53	35	31	35	30	32	64	48	35	32	0	50	50	0
10	Thomas Vannelli (R)				X	100.00	43	45	45	45	49	42	42	43	45	43	43	45	44	32	30	0	50	44	0
11	Simon Bertilsson (R)				X	100.00	41	43	43	43	63	40	40	41	43	41	41	43	42	32	30	0	50	43	0
12	Michael Brodzinski (R)				X	100.00	35	37	37	37	60	35	35	35	37	35	35	37	36	32	30	0	50	39	0
13	Mikael Wikstrand (R)				X	100.00	35	37	37	37	57	35	35	35	37	35	35	37	36	32	30	0	50	39	0

	MOYENNE D'ÉQUIPE					100.00	47	46	63	54	66	45	40	38	42	38	39	52	45	36	33	0	50	46

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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	Jake Paterson (R)	100.00	42	43	42	63	42	41	41	41	41	41	40	32	30	0	50	43	0
2	Timo Pielmeier	100.00	35	38	37	62	36	35	35	36	35	35	35	35	32	0	50	39	0
Rayé
1	Zachary Nagelvoort (R)	100.00	39	40	39	69	39	38	38	38	38	38	37	32	30	0	50	41	0
2	Janne Juvonen (R)	100.00	36	37	36	66	36	35	35	35	35	35	35	32	30	0	50	39	0

	MOYENNE D'ÉQUIPE	100.00	38	40	39	65	38	37	37	38	37	37	37	33	31	0	50	41

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dean Evason	53	80	78	49	80	71	68	CAN	53	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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Ronalds Kenins	Thunder (Tam)	LW	82	41	44	85	-8	51	5	96	167	266	17	54	15.41%	17	1219	14.87	12	16	28	61	276	0	0	0	0	9	1	2	50.00%	90	2	1.39	1	4	0	0	1	6	6	2
2	Kasperi Kapanen	Thunder (Tam)	LW/RW	82	44	30	74	9	16	0	23	134	307	26	68	14.33%	27	1040	12.69	18	8	26	108	314	0	0	0	0	2	5	2	38.18%	55	2	1.42	0	1	0	0	0	7	6	3
3	Sergey Kalinin	Thunder (Tam)	C/LW/RW	82	39	31	70	-8	49	5	150	176	337	24	75	11.57%	38	1275	15.55	2	3	5	12	38	0	0	0	2	29	6	4	68.28%	145	1	1.10	1	5	0	1	0	9	4	8
4	Brody Sutter	Thunder (Tam)	C	82	15	47	62	-12	19	5	52	169	138	10	27	10.87%	39	1371	16.73	3	16	19	33	263	0	2	2	4	201	0	1	62.39%	1505	0	0.90	0	0	0	0	1	1	1	4
5	Brett Lernout	Thunder (Tam)	D	82	21	38	59	-9	70	0	123	97	148	13	23	14.19%	103	1698	20.72	11	10	21	76	260	0	2	2	1	263	0	1	0.00%	0	0	0.69	0	0	0	0	0	3	2	3
6	Nicklas Jensen	Thunder (Tam)	LW/RW	82	15	34	49	-10	32	0	81	110	152	11	30	9.87%	25	1484	18.10	5	9	14	30	251	1	0	1	12	320	1	0	40.54%	111	0	0.66	0	0	0	0	0	2	1	2
7	Tommy Sestito	Thunder (Tam)	LW	82	12	28	40	-13	137	25	203	83	152	7	30	7.89%	11	1021	12.46	2	11	13	45	275	0	0	0	0	0	1	0	52.38%	63	0	0.78	0	0	3	1	1	0	2	3
8	Jacob Larsson	Thunder (Tam)	D	82	13	17	30	-10	57	5	81	58	77	9	16	16.88%	90	1650	20.12	6	3	9	40	250	1	0	1	1	266	3	1	0.00%	0	0	0.36	0	0	0	0	1	2	1	3
9	Adam Gilmour	Thunder (Tam)	C/RW	82	6	22	28	-8	49	5	84	103	99	7	19	6.06%	6	1206	14.71	0	3	3	1	31	0	0	0	1	50	1	0	42.46%	1246	0	0.46	0	4	0	1	0	0	2	1
10	James Melindy	Thunder (Tam)	D	82	6	18	24	-15	131	15	181	34	34	5	9	17.65%	60	1554	18.95	1	2	3	12	242	0	0	0	1	66	1	0	0.00%	0	0	0.31	0	0	0	1	1	0	0	2
11	Petr Straka	Thunder (Tam)	LW/RW	82	13	10	23	-9	0	0	7	100	110	5	20	11.82%	23	933	11.38	0	0	0	0	0	1	1	2	7	204	1	0	30.65%	62	0	0.49	0	0	0	0	0	2	0	0
12	Anthony Bitetto	Thunder (Tam)	D	33	4	18	22	0	76	10	104	42	40	0	0	10.00%	55	696	21.12	1	7	8	24	101	0	0	0	0	107	0	1	0.00%	0	0	0.63	0	0	0	1	1	0	1	1
13	Ryan Martindale	Thunder (Tam)	C	82	4	17	21	-9	18	0	41	142	59	7	9	6.78%	10	1120	13.66	0	0	0	0	0	0	1	1	2	331	1	0	43.03%	1550	0	0.37	0	0	0	0	0	0	0	2
14	Thomas Di Pauli	Thunder (Tam)	C/LW	82	4	16	20	1	31	5	54	63	46	5	10	8.70%	5	833	10.16	2	9	11	15	253	1	0	1	2	17	0	2	46.76%	926	0	0.48	0	0	0	0	1	0	1	0
15	John Persson	Thunder (Tam)	LW	82	7	10	17	4	38	10	47	23	48	7	8	14.58%	10	607	7.41	0	0	0	0	3	0	1	1	1	2	1	1	48.72%	39	0	0.56	0	0	2	0	0	1	0	0
16	Spencer Machacek	Thunder (Tam)	RW	82	2	14	16	-9	102	50	62	36	41	2	14	4.88%	5	1075	13.12	0	0	0	0	0	0	0	0	0	6	0	0	43.66%	71	0	0.30	0	0	3	1	5	0	0	0
17	Adam Polasek	Thunder (Tam)	D	82	2	9	11	3	70	0	119	15	19	2	2	10.53%	44	1235	15.07	1	2	3	8	102	1	1	2	1	151	1	0	0.00%	0	0	0.18	0	0	0	0	0	0	1	1
18	Calle Andersson	Thunder (Tam)	D	82	2	7	9	10	97	5	135	25	24	5	1	8.33%	59	1321	16.11	0	1	1	5	28	0	0	0	1	280	1	0	0.00%	0	0	0.14	0	0	0	1	0	0	1	0
19	Brett Ritchie	Thunder (Tam)	RW	4	3	4	7	6	2	0	12	5	18	0	0	16.67%	0	77	19.49	0	0	0	3	14	0	0	0	0	8	1	0	50.00%	10	0	1.80	0	1	0	0	0	1	1	1
20	Samuel Blais	Thunder (Tam)	LW	79	1	6	7	1	6	0	16	6	5	0	1	20.00%	0	197	2.50	0	5	5	3	67	0	1	1	0	59	0	0	55.56%	45	0	0.71	0	0	0	0	0	0	0	0
21	Ryan Pulock	Tampa Bay	D	8	1	5	6	-2	2	0	8	9	14	0	0	7.14%	12	172	21.61	1	1	2	9	25	0	0	0	0	20	0	0	0.00%	0	0	0.69	0	0	0	0	0	0	0	1
22	Nicolas Deschamps	Thunder (Tam)	LW	75	0	1	1	-1	15	5	8	5	3	0	0	0.00%	9	271	3.62	0	0	0	0	30	0	0	0	0	165	0	0	35.96%	89	0	0.07	0	0	0	0	1	0	0	0
Stats d'équipe Total ou en Moyenne				1593	255	426	681	-89	1068	150	1687	1602	2137	162	416	11.93%	648	22067	13.85	65	106	171	485	2833	5	9	14	36	2566	25	15	48.98%	6007	5	0.62	2	15	8	7	13	34	30	37

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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	A	PS %	PSA	ST	BG	S1	S2	S3
1	Linus Ullmark	Tampa Bay	47	19	22	3	0.877	3.63	2515	2	152	1232	3	0.667	12	47	0	1	2	1
2	Jake Paterson	Thunder (Tam)	45	9	25	2	0.873	4.22	2147	4	151	1188	3	0.500	6	35	82	1	0	0
Stats d'équipe Total ou en Moyenne			92	28	47	5	0.875	3.90	4663	6	303	2420	6	0.611	18	82	82	2	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
Adam Gilmour	Thunder (Tam)	C/RW	22	1994-01-29	Yes	193 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	650,000$