Ligue de hockey Simulée Ste-Flanelle

Minnesota
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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	Chris Terry		X	X		100.00	52	35	88	75	65	56	41	53	58	45	60	60	61	43	40	0	50	56	0
2	J.T. Brown		X	X		100.00	60	66	72	73	49	60	74	49	36	45	52	67	48	47	44	0	50	56	0
3	Chris Thorburn		X	X		100.00	64	67	66	65	84	51	62	45	55	41	48	59	48	64	55	0	50	55	0
4	Austin Czarnik (R)	X		X		100.00	48	35	88	82	44	55	44	53	44	51	54	62	45	35	32	0	50	55	0
5	Clarke MacArthur		X			100.00	53	35	95	67	64	64	42	42	35	40	44	53	48	64	55	0	50	51	0
6	Jonny Brodzinski (R)	X		X		100.00	47	35	86	69	75	54	35	38	35	40	35	65	48	35	32	0	50	49	0
7	Evgeny Svechnikov (R)		X	X		100.00	53	35	95	72	72	55	35	35	35	35	35	65	56	35	32	0	50	49	0
8	Jason Akeson			X		100.00	43	35	79	72	60	46	32	34	49	37	32	60	43	40	37	0	50	47	0
9	Chase De Leo	X				100.00	44	35	94	78	56	46	33	33	45	33	33	57	47	35	32	0	50	46	0
10	Alexander Guptill (R)		X			100.00	41	43	43	43	54	40	40	41	43	41	41	43	42	32	30	0	50	42	0
11	Travis Ewanyk (R)		X			100.00	41	43	43	43	54	40	40	41	43	41	41	43	42	32	30	0	50	42	0
12	James Wright	X	X			100.00	43	65	53	42	70	31	48	32	35	32	32	42	46	44	38	0	50	41	0
13	David Pope (R)		X			100.00	38	40	40	40	61	37	37	38	40	38	38	40	39	32	30	0	50	41	0
14	Martin Reway (R)	X	X			100.00	38	40	40	40	42	37	37	38	40	38	38	40	39	32	30	0	50	40	0
15	Maxime Macenauer	X				100.00	37	87	33	42	59	31	39	32	35	32	32	44	46	35	32	0	50	39	0
16	Julius Vahatalo (R)		X			100.00	35	37	37	37	67	35	35	35	37	35	35	37	36	32	30	0	50	39	0
17	Saku Maenalanen (R)		X	X		100.00	35	37	37	37	55	35	35	35	37	35	35	37	36	32	30	0	50	38	0
18	Anthony Louis (R)	X				100.00	35	37	37	37	35	35	35	35	37	35	35	37	36	32	30	0	50	37	0
19	Kristopher Foucault		X			100.00	31	90	30	33	70	31	37	32	35	32	32	33	46	35	32	0	50	37	0
20	Oliver Kylington				X	100.00	45	35	94	69	57	51	33	30	35	29	31	64	47	35	32	0	50	50	0
21	Travis Dermott				X	100.00	45	45	45	45	67	45	45	45	45	45	45	45	45	32	30	0	50	46	0
22	Miles Gendron (R)				X	100.00	41	43	43	43	56	40	40	41	43	41	41	43	42	32	30	0	50	43	0
23	Will Butcher (R)				X	100.00	35	37	37	37	60	35	35	35	37	35	35	37	36	32	30	0	50	39	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	44	46	60	54	60	44	41	39	41	38	39	49	44	38	34	0	50	45

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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	Jonas Gustavsson	100.00	44	45	78	76	42	51	50	40	52	65	94	52	47	0	50	52	0
2	Kevin Poulin	100.00	43	45	89	74	44	42	43	44	41	59	58	44	41	0	50	49	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	44	45	84	75	43	47	47	42	47	62	76	48	44	0	50	51

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jeff Daniels	52	53	71	52	79	76	64	CAN	49	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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Jonny Brodzinski	Minnesota (Min)	C/RW	82	24	38	62	-37	23	5	59	274	201	13	47	11.94%	51	1802	21.99	4	16	20	33	248	7	321	3	0	43.46%	2225	0	0.69	1	8	0	0	1	5	2	2
2	Chase De Leo	Minnesota (Min)	C	82	21	37	58	-40	8	0	15	317	236	22	30	8.90%	61	1613	19.68	6	11	17	52	232	2	230	2	2	45.01%	1782	0	0.72	1	7	0	0	0	4	3	1
3	Evgeny Svechnikov	Minnesota (Min)	LW/RW	82	30	23	53	-37	47	5	66	214	231	22	46	12.99%	51	1778	21.68	8	5	13	57	255	8	318	3	0	44.60%	139	1	0.60	0	7	0	0	0	2	4	0
4	Oliver Kylington	Minnesota (Min)	D	82	8	34	42	-38	18	0	27	117	121	7	18	6.61%	172	1797	21.92	5	12	17	65	239	1	309	0	2	20.00%	5	0	0.47	0	1	0	0	0	1	1	1
5	Travis Ewanyk	Minnesota (Min)	LW	82	15	20	35	-47	78	10	83	113	161	12	28	9.32%	37	1419	17.31	1	1	2	11	98	1	179	0	1	45.10%	102	0	0.49	0	0	0	1	1	1	1	2
6	Alexander Guptill	Minnesota (Min)	LW	82	19	15	34	-39	60	10	149	96	160	8	20	11.88%	18	1568	19.13	3	2	5	30	229	4	201	3	2	43.56%	101	0	0.43	0	0	0	0	2	3	2	1
7	Travis Dermott	Minnesota (Min)	D	82	14	20	34	-37	115	15	149	48	62	9	9	22.58%	56	1715	20.92	7	11	18	33	241	0	276	0	1	60.00%	5	0	0.40	0	0	0	1	2	2	0	3
8	Miles Gendron	Minnesota (Min)	D	82	6	21	27	-37	97	15	114	75	58	4	10	10.34%	94	1594	19.44	3	4	7	23	230	0	259	0	0	100.00%	1	0	0.34	0	0	2	1	0	2	0	0
9	David Pope	Minnesota (Min)	LW	82	8	18	26	-43	52	10	106	46	92	3	17	8.70%	12	1423	17.36	2	4	6	21	224	0	20	0	1	35.80%	81	0	0.37	0	0	0	0	2	0	1	1
10	Martin Reway	Minnesota (Min)	C/LW	82	9	15	24	-54	66	0	92	87	108	9	26	8.33%	22	1270	15.49	0	2	2	8	43	0	10	1	0	40.66%	182	0	0.38	0	0	0	0	0	2	2	1
11	James Wright	Minnesota (Min)	C/LW	82	5	12	17	-47	71	25	72	117	56	2	12	8.93%	11	1195	14.58	1	1	2	7	56	1	30	0	0	40.80%	1125	0	0.28	0	0	1	2	2	0	1	0
12	Julius Vahatalo	Minnesota (Min)	LW	82	4	11	15	-52	100	0	145	25	27	4	3	14.81%	77	1250	15.25	1	0	1	2	9	0	4	0	0	0.00%	0	0	0.24	0	0	0	0	0	0	0	1
13	Maxime Macenauer	Minnesota (Min)	C	82	3	10	13	-52	169	45	190	47	35	3	4	8.57%	96	1234	15.06	0	0	0	1	11	0	6	0	0	0.00%	2	0	0.21	0	0	4	0	5	0	0	2
14	Anthony Louis	Minnesota (Min)	C	82	2	5	7	-10	16	0	26	37	22	2	7	9.09%	12	496	6.05	1	2	3	13	97	0	144	1	0	35.26%	190	0	0.28	0	0	0	0	0	0	0	1
15	Will Butcher	Minnesota (Min)	D	82	2	4	6	-39	64	0	86	20	22	0	2	9.09%	69	1572	19.17	0	0	0	13	226	0	251	0	0	50.00%	2	0	0.08	0	0	0	0	0	0	1	0
16	Kristopher Foucault	Minnesota (Min)	LW	82	2	2	4	-12	27	5	41	18	12	1	1	16.67%	4	627	7.65	1	2	3	4	117	0	145	0	0	45.51%	156	0	0.13	0	0	0	0	1	0	0	0
17	Saku Maenalanen	Minnesota (Min)	LW/RW	82	3	1	4	-30	57	5	125	18	33	4	8	9.09%	8	1391	16.97	2	0	2	6	229	0	47	1	1	40.00%	75	0	0.06	0	0	0	0	1	0	0	1
Stats d'équipe Total ou en Moyenne				1394	175	286	461	-651	1068	150	1545	1669	1637	125	288	10.69%	851	23750	17.04	45	73	118	379	2795	24	2756	14	10	43.04%	6173	1	0.39	2	23	7	5	17	22	18	17

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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	Kevin Poulin	Minnesota (Min)	62	12	36	7	0.887	4.07	3215	6	218	1927	2	0.615	13	54	82	2	2	2
2	Jonas Gustavsson	Minnesota (Min)	28	4	20	2	0.875	4.83	1415	2	114	912	0	0.889	9	28	0	1	1	0
Stats d'équipe Total ou en Moyenne			90	16	56	9	0.883	4.30	4631	8	332	2839	2	0.727	22	82	82	3	3	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	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
Alexander Guptill	Minnesota (Min)	LW	24	1992-05-05	Yes	175 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	840,000$