LHSIR - Wolves

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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	Andy Andreoff	X	X			100.00	79	44	95	70	74	52	81	54	46	57	55	61	25	63	64	61	50	0	0
2	Austin Poganski			X		100.00	80	75	90	65	75	73	77	60	50	59	57	66	54	44	44	64	50	0	0
3	Brett Ritchie			X		100.00	98	70	78	77	81	56	64	62	36	62	58	55	25	65	66	63	50	0	0
4	Devin Shore	X	X			100.00	77	44	93	79	75	59	78	60	49	63	60	61	25	65	65	65	50	0	0
5	Glenn Gawdin (R)	X				100.00	75	71	84	64	71	74	76	66	80	67	61	65	58	44	44	65	50	0	0
6	Michael Chaput	X	X			100.00	78	75	86	73	75	74	78	63	79	55	64	70	61	60	60	66	50	0	0
7	Micheal Ferland		X	X		100.00	94	92	85	80	79	55	62	58	26	74	58	57	25	65	66	65	50	0	0
8	Sven Baertschi		X			100.00	74	69	86	84	69	61	59	71	50	74	61	71	58	64	65	68	50	0	0
9	Tim Schaller		X	X		100.00	75	44	91	78	78	59	70	56	36	52	59	91	25	62	63	66	50	0	0
10	Barrett Hayton (R)	X	X			100.00	69	42	80	84	71	58	54	61	49	62	57	52	25	45	45	61	50	0	0
11	Jason Robertson (R)		X			100.00	77	73	86	74	73	77	80	65	50	59	67	66	64	44	44	69	50	0	0
12	Laurent Dauphin	X	X	X		100.00	71	68	79	64	68	72	76	60	75	56	60	62	57	47	47	63	50	0	0
13	Jonas Siegenthaler				X	100.00	71	54	81	68	82	67	79	56	25	49	48	91	25	58	59	63	50	0	0
14	Joel Edmundson				X	100.00	82	66	71	78	82	75	83	58	25	54	50	89	25	66	68	65	50	0	0
15	Kevin Shattenkirk				X	100.00	73	43	84	85	73	76	89	70	25	67	51	66	78	76	78	66	46	0	0
16	Ryan Lindgren (R)				X	100.00	81	55	78	61	72	70	86	58	25	56	47	79	25	51	51	62	50	0	0
17	Ville Heinola (R)				X	100.00	76	66	99	80	66	50	50	50	25	47	39	62	37	44	44	53	50	0	0
18	Vince Dunn				X	100.00	69	53	88	85	73	69	92	72	25	54	54	58	25	60	61	63	50	0	0
Rayé
1	Boris Katchouk (R)		X			100.00	75	71	84	61	71	80	85	60	50	56	59	64	56	44	44	63	50	0	0
2	Dylan Gambrell	X				100.00	71	55	89	62	72	61	79	63	72	61	59	73	25	50	51	65	50	0	0
3	Mackenzie MacEachern (R)		X			100.00	81	56	81	62	72	52	74	63	31	56	66	67	25	55	55	66	50	0	0
4	Trent Frederic (R)	X				100.00	64	75	37	65	75	78	83	59	74	60	53	58	50	45	45	58	50	0	0
5	Yannick Veilleux (R)		X			100.00	76	76	77	61	76	59	58	64	50	56	68	65	65	44	44	65	50	0	0
6	Joona Luoto (R)		X	X		100.00	67	42	95	73	70	46	64	52	25	50	55	72	25	45	45	60	50	0	0
7	MacKenzie Entwistle (R)			X		100.00	73	70	80	63	70	70	74	58	50	54	58	62	55	44	44	61	50	0	0
8	Jakub Lauko (R)	X	X			100.00	66	64	70	60	64	55	55	56	70	48	59	58	56	44	44	58	50	0	0
9	Jake Walman (R)				X	100.00	70	65	83	71	65	74	79	55	25	47	48	61	46	48	48	58	50	0	0
10	Niko Mikkola (R)				X	100.00	75	71	85	68	71	73	79	49	25	43	40	61	38	44	44	54	50	0	0
11	Timothy Liljegren				X	100.00	69	42	93	72	70	54	64	53	25	48	47	68	25	45	45	58	50	0	0
12	Andrew Peeke (R)				X	100.00	76	44	93	76	74	63	63	57	25	48	48	63	25	46	46	58	50	0	0
13	Jordan Schmaltz				X	100.00	75	72	82	68	72	63	67	51	25	45	41	63	39	49	49	54	50	0	0

	MOYENNE D'ÉQUIPE					100.00	75	62	83	71	73	65	73	59	43	56	55	66	40	52	53	62	50	0

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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	Casey DeSmith	100.00	57	68	85	66	55	61	51	60	56	55	30	48	48	58	50	0	0
2	Ville Husso (R)	100.00	59	64	80	81	59	64	56	64	62	61	30	44	44	61	50	0	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	58	66	83	74	57	63	54	62	59	58	30	46	46	60	50	0

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Patrick Roy	73	71	72	70	82	77	69	CAN	56	3	1,000,000$

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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	GT	FO%	FOT	P/20	PSS	FT	S1	S2	S3
1	Tim Schaller	Wolves (STL)	LW/RW	8	2	5	7	3	4	0	2	10	14	3	14	14.29%	2	134	16.81	0	1	1	1	27	0	0	0	0	18	0	71.43%	7	1.04	0	0	0	2	0
2	Joel Edmundson	Wolves (STL)	D	8	1	3	4	-1	20	0	17	15	6	4	5	16.67%	8	178	22.31	1	0	1	6	30	0	0	0	0	31	0	0.00%	0	0.45	0	0	0	1	0
3	Devin Shore	Wolves (STL)	C/LW	8	1	2	3	1	2	0	3	11	6	1	6	16.67%	1	143	17.98	0	1	1	0	31	0	0	0	0	23	0	48.15%	135	0.42	0	0	1	0	0
4	Glenn Gawdin	Wolves (STL)	C	7	3	0	3	0	4	0	8	13	11	2	4	27.27%	0	94	13.49	0	0	0	0	4	0	0	0	0	2	0	55.74%	61	0.64	0	0	1	0	0
5	Michael Chaput	Wolves (STL)	C/LW	8	1	2	3	2	9	5	7	8	5	3	3	20.00%	1	113	14.22	0	0	0	1	27	0	0	0	0	1	0	53.41%	88	0.53	0	1	0	0	0
6	Ryan Lindgren	Wolves (STL)	D	8	0	3	3	1	26	0	29	5	1	1	2	0.00%	5	127	15.90	0	0	0	0	5	0	0	0	0	3	0	0.00%	0	0.47	0	0	0	0	0
7	Austin Poganski	Wolves (STL)	RW	8	0	2	2	0	10	0	9	6	5	1	6	0.00%	3	97	12.17	0	0	0	0	2	0	0	0	0	0	0	50.00%	2	0.41	0	0	0	1	0
8	Brett Ritchie	Wolves (STL)	RW	8	2	0	2	4	6	0	14	5	6	1	7	33.33%	0	112	14.10	0	0	0	0	27	0	0	0	0	0	1	20.00%	10	0.35	0	0	1	0	0
9	Jason Robertson	Wolves (STL)	LW	8	1	1	2	0	2	0	5	12	12	10	8	8.33%	0	113	14.22	0	0	0	0	6	1	0	1	2	7	0	42.86%	14	0.35	0	0	0	0	0
10	Vince Dunn	Wolves (STL)	D	8	1	1	2	-1	4	0	8	9	7	4	5	14.29%	0	160	20.04	1	0	1	7	29	0	0	0	0	26	0	0.00%	0	0.25	0	0	0	0	0
11	Andy Andreoff	Wolves (STL)	C/LW	8	0	1	1	-3	2	0	4	6	2	1	3	0.00%	0	84	10.50	0	0	0	0	2	0	1	1	0	18	0	51.67%	60	0.24	0	0	0	0	0
12	Jonas Siegenthaler	Wolves (STL)	D	8	0	1	1	-1	10	0	15	3	8	4	4	0.00%	6	158	19.84	0	1	1	6	29	0	0	0	0	25	0	0.00%	0	0.13	0	0	0	0	1
13	Kevin Shattenkirk	Wolves (STL)	D	7	0	1	1	1	4	0	4	6	3	0	1	0.00%	1	163	23.37	0	0	0	3	27	0	0	0	0	33	0	0.00%	0	0.12	0	0	0	0	0
14	Micheal Ferland	Wolves (STL)	LW/RW	8	1	0	1	0	6	0	18	7	6	2	8	16.67%	4	159	19.98	0	0	0	1	31	0	0	0	0	36	0	16.67%	6	0.13	1	0	0	1	0
15	Sven Baertschi	Wolves (STL)	LW	8	0	1	1	0	0	0	3	23	8	2	7	0.00%	1	166	20.76	0	1	1	3	30	0	0	0	0	42	0	48.00%	100	0.12	1	0	0	0	0
16	Ville Heinola	Wolves (STL)	D	4	0	1	1	1	2	0	2	3	0	0	0	0.00%	1	65	16.42	0	0	0	0	1	0	0	0	0	7	0	0.00%	0	0.30	0	0	0	0	0
17	Barrett Hayton	Wolves (STL)	C/LW	8	0	0	0	-4	2	0	3	9	10	2	5	0.00%	0	63	7.89	0	0	0	0	0	0	0	0	0	0	0	33.33%	3	0.00	0	0	0	0	0
18	Laurent Dauphin	Wolves (STL)	C/LW/RW	5	0	0	0	-2	0	0	3	0	3	1	3	0.00%	1	40	8.13	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				135	13	24	37	1	113	5	154	151	113	42	91	11.50%	34	2178	16.13	2	4	6	28	318	1	1	2	2	280	1	49.59%	486	0.34	2	1	3	5	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 Gardien	Nom de l'Équipe	GP	L	OTL	PCT	GAA	MP	GA	SA	PSA	ST	BG	S3
1	Casey DeSmith	Wolves (STL)	1	0	0	1.000	0.00	14	0	9	0	0	8	0
2	Ville Husso	Wolves (STL)	8	7	1	0.858	2.95	468	23	162	2	8	0	1
Stats d'équipe Total ou en Moyenne			9	7	1	0.865	2.86	482	23	171	2	8	8	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	Type	Salaire Actuel	Salaire Restant	Salaire Moyen	Salaire Moyen Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Link
Andrew Peeke	Wolves (STL)	D	22	1998-03-17	Yes	198 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,491,667$	1,335,283$	1,491,667$	1,335,283$	0$	0$	No	1,491,667$	1,491,667$
Andy Andreoff	Wolves (STL)	C/LW	29	1991-05-17	No	203 Lbs	6 ft1	No	No	No	2	Pro & Farm	677,500$	606,472$	677,500$	606,472$	0$	0$	No	677,500$		Lien
Austin Poganski	Wolves (STL)	RW	24	1996-02-16	No	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	762,500$	682,560$	450,000$	402,823$	0$	0$	No	762,500$		Lien
Barrett Hayton	Wolves (STL)	C/LW	20	2000-06-08	Yes	190 Lbs	6 ft1	No	No	No	3	Pro & Farm	2,644,167$	2,366,956$	2,644,167$	2,366,956$	0$	0$	No	2,644,167$	2,644,167$
Boris Katchouk	Wolves (STL)	LW	22	1998-06-18	Yes	192 Lbs	6 ft1	No	No	No	3	Pro & Farm	894,166$	800,423$	894,166$	800,423$	0$	0$	No	894,166$	894,166$
Brett Ritchie	Wolves (STL)	RW	26	1993-07-01	No	217 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,750,000$	1,566,532$	1,750,000$	1,566,532$	0$	0$	No			Lien
Casey DeSmith	Wolves (STL)	G	28	1991-08-12	No	181 Lbs	6 ft0	No	No	No	2	Pro & Farm	675,000$	604,234$	675,000$	604,234$	0$	0$	No	675,000$		Lien
Devin Shore	Wolves (STL)	C/LW	25	1994-07-19	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,143,750$	1,023,841$	1,000,000$	895,161$	0$	0$	No			Lien
Dylan Gambrell	Wolves (STL)	C	23	1996-08-26	No	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,137,000$	1,017,798$	1,137,000$	1,017,798$	0$	0$	No	1,137,000$		Lien
Glenn Gawdin	Wolves (STL)	C	23	1997-03-25	Yes	191 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	828,024$	925,000$	828,024$	0$	0$	No	925,000$	925,000$
Jake Walman	Wolves (STL)	D	24	1996-02-19	Yes	170 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	828,024$	925,000$	828,024$	0$	0$	No	925,000$	925,000$
Jakub Lauko	Wolves (STL)	C/LW	20	2000-03-28	Yes	170 Lbs	6 ft0	No	No	No	3	Pro & Farm	894,167$	800,424$	894,167$	800,424$	0$	0$	No	894,167$	894,167$
Jason Robertson	Wolves (STL)	LW	20	1999-07-21	Yes	195 Lbs	6 ft2	No	No	No	3	Pro & Farm	894,167$	800,424$	894,167$	800,424$	0$	0$	No	894,167$	894,167$
Joel Edmundson	Wolves (STL)	D	26	1993-06-28	No	215 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,050,000$	939,919$	1,050,000$	939,919$	0$	0$	No			Lien
Jonas Siegenthaler	Wolves (STL)	D	23	1997-05-06	No	220 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,758,333$	1,573,992$	883,333$	790,726$	0$	0$	No	883,333$	883,333$	Lien
Joona Luoto	Wolves (STL)	LW/RW	22	1997-09-26	Yes	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,012,500$	906,351$	1,000,000$	895,161$	0$	0$	No			Lien
Jordan Schmaltz	Wolves (STL)	D	26	1993-10-08	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	626,613$	700,000$	626,613$	0$	0$	No			Lien
Kevin Shattenkirk	Wolves (STL)	D	31	1989-01-29	No	200 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,750,000$	1,566,532$	1,750,000$	1,566,532$	0$	0$	No	1,750,000$	1,750,000$	Lien
Laurent Dauphin	Wolves (STL)	C/LW/RW	25	1995-03-27	No	180 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	895,161$	1,000,000$	895,161$	0$	0$	No			Lien
MacKenzie Entwistle	Wolves (STL)	RW	20	1999-07-13	Yes	184 Lbs	6 ft3	No	No	No	3	Pro & Farm	894,167$	800,424$	894,167$	800,424$	0$	0$	No	894,167$	894,167$
Mackenzie MacEachern	Wolves (STL)	LW	26	1994-03-08	Yes	190 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	671,371$	750,000$	671,371$	0$	0$	No	750,000$	750,000$
Michael Chaput	Wolves (STL)	C/LW	28	1992-04-08	No	204 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,000,000$	895,161$	1,000,000$	895,161$	0$	0$	No	1,000,000$		Lien
Micheal Ferland	Wolves (STL)	LW/RW	28	1992-04-19	No	208 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,750,000$	1,566,532$	1,750,000$	1,566,532$	0$	0$	No	1,750,000$		Lien
Niko Mikkola	Wolves (STL)	D	26	1994-04-26	Yes	184 Lbs	6 ft4	No	No	No	3	Pro & Farm	925,000$	828,024$	925,000$	828,024$	0$	0$	No	925,000$	925,000$
Ryan Lindgren	Wolves (STL)	D	22	1998-02-10	Yes	198 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,100,000$	984,677$	1,100,000$	984,677$	0$	0$	No	1,100,000$	1,100,000$
Sven Baertschi	Wolves (STL)	LW	27	1992-10-05	No	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,638,750$	1,466,946$	1,000,000$	895,161$	0$	0$	No			Lien
Tim Schaller	Wolves (STL)	LW/RW	29	1990-11-16	No	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	775,000$	693,750$	775,000$	693,750$	0$	0$	No	775,000$		Lien
Timothy Liljegren	Wolves (STL)	D	21	1999-04-30	No	192 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,263,333$	1,130,887$	1,263,333$	1,130,887$	0$	0$	No	1,263,333$		Lien
Trent Frederic	Wolves (STL)	C	22	1998-02-11	Yes	203 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,137,500$	1,018,246$	1,137,500$	1,018,246$	0$	0$	No	1,137,500$	1,137,500$
Ville Heinola	Wolves (STL)	D	19	2001-03-02	Yes	181 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,137,500$	1,018,246$	1,137,500$	1,018,246$	0$	0$	No	1,137,500$	1,137,500$
Ville Husso	Wolves (STL)	G	25	1995-02-05	Yes	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	700,000$	626,613$	700,000$	626,613$	0$	0$	No	700,000$	700,000$
Vince Dunn	Wolves (STL)	D	23	1996-10-28	No	203 Lbs	6 ft0	No	No	No	1	Pro & Farm	894,167$	800,424$	894,167$	800,424$	0$	0$	No			Lien
Yannick Veilleux	Wolves (STL)	LW	27	1993-02-22	Yes	206 Lbs	6 ft2	No	No	No	1	Pro & Farm	833,333$	745,967$	450,000$	402,823$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
33	24.30	196 Lbs	6 ft1	2.21	1,117,687$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sven Baertschi	Devin Shore	Micheal Ferland	35	1	2	2
2	Tim Schaller	Michael Chaput	Brett Ritchie	30	1	2	2
3	Jason Robertson	Glenn Gawdin	Austin Poganski	25	1	2	2
4	Barrett Hayton	Andy Andreoff	Laurent Dauphin	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Shattenkirk	Joel Edmundson	35	1	2	2
2	Vince Dunn	Jonas Siegenthaler	30	1	2	2
3	Ryan Lindgren	Ville Heinola	25	1	2	2
4	Kevin Shattenkirk	Joel Edmundson	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Sven Baertschi	Devin Shore	Micheal Ferland	60	1	2	2
2	Tim Schaller	Michael Chaput	Brett Ritchie	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Shattenkirk	Joel Edmundson	60	1	2	2
2	Vince Dunn	Jonas Siegenthaler	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sven Baertschi	Micheal Ferland	60	1	2	2
2	Devin Shore	Tim Schaller	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Shattenkirk	Joel Edmundson	60	1	2	2
2	Vince Dunn	Jonas Siegenthaler	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Sven Baertschi	60	1	2	2	Kevin Shattenkirk	Joel Edmundson	60	1	2	2
2	Micheal Ferland	40	1	2	2	Vince Dunn	Jonas Siegenthaler	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Sven Baertschi	Micheal Ferland	60	1	2	2
2	Devin Shore	Tim Schaller	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kevin Shattenkirk	Joel Edmundson	60	1	2	2
2	Vince Dunn	Jonas Siegenthaler	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sven Baertschi	Devin Shore	Micheal Ferland	Kevin Shattenkirk	Joel Edmundson

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Sven Baertschi	Devin Shore	Micheal Ferland	Kevin Shattenkirk	Joel Edmundson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jason Robertson, Glenn Gawdin, Andy Andreoff	Jason Robertson, Glenn Gawdin	Andy Andreoff

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan Lindgren, Ville Heinola, Vince Dunn	Ryan Lindgren	Ville Heinola, Vince Dunn

Tirs de Pénalité
Sven Baertschi, Micheal Ferland, Devin Shore, Tim Schaller, Brett Ritchie

Gardien
#1 : Ville Husso, #2 : Casey DeSmith

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

Afficher ou Masquer des Colonnes

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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Crunch	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	6	2	5	0	19	45	39	30	2	30	6	14	22	5	1	20.00%	6	2	66.67%	0	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50
2	IceHogs	2	0	2	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	3	5	0	0	6	2	5	0	34	45	39	30	2	39	7	22	37	9	1	11.11%	11	4	63.64%	0	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50
3	Rampage	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	6	2	5	0	12	45	39	30	2	26	11	16	27	3	0	0.00%	8	0	100.00%	0	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50
4	Soldiers	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	6	2	5	0	16	45	39	30	2	22	8	18	7	10	0	0.00%	8	2	75.00%	1	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50
	Total	8	0	7	0	0	0	0	1	13	24	-11	4	0	4	0	0	0	0	0	7	13	-6	4	0	3	0	0	0	0	1	6	11	-5	1	0.063	13	24	37	0	0	6	2	5	0	114	45	39	30	2	171	39	113	156	36	2	5.56%	51	12	76.47%	1	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50
6	Wolf Pack	3	0	2	0	0	0	0	1	5	9	-4	1	0	1	0	0	0	0	0	2	4	-2	2	0	1	0	0	0	0	1	3	5	-2	1	0.167	5	10	15	0	0	6	2	5	0	33	45	39	30	2	54	7	43	63	9	0	0.00%	18	4	77.78%	0	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50
	_Since Last GM Reset	8	0	7	0	0	0	0	1	13	24	-11	4	0	4	0	0	0	0	0	7	13	-6	4	0	3	0	0	0	0	1	6	11	-5	1	0.063	13	24	37	0	0	6	2	5	0	114	45	39	30	2	171	39	113	156	36	2	5.56%	51	12	76.47%	1	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50
	_Vs Conference	4	0	4	0	0	0	0	0	6	12	-6	3	0	3	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	6	10	16	0	0	6	2	5	0	62	45	39	30	2	87	26	56	71	22	1	4.55%	27	6	77.78%	1	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50
	_Vs Division	4	0	4	0	0	0	0	0	6	12	-6	3	0	3	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	6	10	16	0	0	6	2	5	0	62	45	39	30	2	87	26	56	71	22	1	4.55%	27	6	77.78%	1	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
8	1	L4	13	24	37	114	171	39	113	156	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	0	7	0	0	0	1	13	24

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	7	13

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	3	0	0	0	1	6	11

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	7	0	0	0	1

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
36	2	5.56%	51	12	76.47%	1

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
45	39	30	2	6	2	5	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
88	175	50.29%	109	217	50.23%	50	107	46.73%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
200	137	186	58	98	50

Derniers Match Joués Afficher ou Masquer des Colonnes

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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	Lien
1 - 2020-09-27	6	Rampage	2	Wolves	1	L			Sommaire du Match
3 - 2020-09-29	23	Wolves	1	Wolf Pack	2	L			Sommaire du Match
4 - 2020-09-30	31	Wolf Pack	4	Wolves	2	L			Sommaire du Match
5 - 2020-10-01	43	Wolves	2	Wolf Pack	3	L	X	X	Sommaire du Match
6 - 2020-10-02	48	IceHogs	3	Wolves	1	L			Sommaire du Match
9 - 2020-10-05	64	Wolves	2	Crunch	3	L			Sommaire du Match
10 - 2020-10-06	69	Wolves	1	IceHogs	3	L			Sommaire du Match
12 - 2020-10-08	81	Soldiers	4	Wolves	3	L			Sommaire du Match
14 - 2020-10-10	93	Stars	-	Wolves	-
17 - 2020-10-13	108	Wolves	-	Rampage	-
18 - 2020-10-14	113	Soldiers	-	Wolves	-
20 - 2020-10-16	125	Wolves	-	Soldiers	-
21 - 2020-10-17	135	Wolves	-	IceHogs	-
22 - 2020-10-18	143	Wolves	-	Stars	-
23 - 2020-10-19	154	Stars	-	Wolves	-
24 - 2020-10-20	163	Wolves	-	Rampage	-
26 - 2020-10-22	176	Rampage	-	Wolves	-
28 - 2020-10-24	195	Marlies	-	Wolves	-
30 - 2020-10-26	200	Wolves	-	Sharks	-
32 - 2020-10-28	209	Wolves	-	Wolf Pack	-
34 - 2020-10-30	220	Flames	-	Wolves	-
36 - 2020-11-01	234	Rampage	-	Wolves	-
38 - 2020-11-03	246	Condors	-	Wolves	-
40 - 2020-11-05	256	Wolves	-	Stars	-
42 - 2020-11-07	270	Soldiers	-	Wolves	-
45 - 2020-11-10	284	Wolves	-	Stars	-
46 - 2020-11-11	296	Moose	-	Wolves	-
48 - 2020-11-13	311	Wolves	-	Soldiers	-
49 - 2020-11-14	319	Stars	-	Wolves	-
50 - 2020-11-15	330	Wolves	-	Monarchs	-
51 - 2020-11-16	338	IceHogs	-	Wolves	-
53 - 2020-11-18	355	Sharks	-	Wolves	-
54 - 2020-11-19	366	Wolves	-	Rocket	-
55 - 2020-11-20	373	Wolves	-	Rampage	-
56 - 2020-11-21	385	IceHogs	-	Wolves	-
58 - 2020-11-23	399	Wolf Pack	-	Wolves	-
59 - 2020-11-24	413	Wolves	-	Marlies	-
60 - 2020-11-25	420	Senators	-	Wolves	-
61 - 2020-11-26	424	Wolves	-	Soldiers	-
63 - 2020-11-28	442	Flames	-	Wolves	-
64 - 2020-11-29	447	Wolves	-	IceHogs	-
66 - 2020-12-01	463	Stars	-	Wolves	-
67 - 2020-12-02	472	Wolves	-	Penguins	-
68 - 2020-12-03	478	Wolves	-	IceHogs	-
70 - 2020-12-05	495	Wolves	-	Penguins	-
71 - 2020-12-06	501	Penguins	-	Wolves	-
73 - 2020-12-08	516	IceHogs	-	Wolves	-
74 - 2020-12-09	528	Sound Tigers	-	Wolves	-
75 - 2020-12-10	536	Wolves	-	IceHogs	-
77 - 2020-12-12	551	Rampage	-	Wolves	-
79 - 2020-12-14	561	Wolves	-	Stars	-
80 - 2020-12-15	572	Wolves	-	Bruins	-
81 - 2020-12-16	583	Wolf Pack	-	Wolves	-
83 - 2020-12-18	593	Wolves	-	Monarchs	-
85 - 2020-12-20	606	Bruins	-	Wolves	-
86 - 2020-12-21	617	Condors	-	Wolves	-
88 - 2020-12-23	633	Wolves	-	Griffins	-
89 - 2020-12-24	637	Wolves	-	Rampage	-
91 - 2020-12-26	647	Moose	-	Wolves	-
92 - 2020-12-27	661	Monarchs	-	Wolves	-
94 - 2020-12-29	677	Wolves	-	Admirals	-
95 - 2020-12-30	684	Wolves	-	Phantoms	-
96 - 2020-12-31	692	Soldiers	-	Wolves	-
97 - 2021-01-01	704	Wolves	-	Flames	-
98 - 2021-01-02	714	Phantoms	-	Wolves	-
99 - 2021-01-03	723	Wolves	-	Moose	-
101 - 2021-01-05	737	Monarchs	-	Wolves	-
102 - 2021-01-06	745	Wolves	-	Sharks	-
103 - 2021-01-07	753	Wolves	-	Condors	-
104 - 2021-01-08	764	Crunch	-	Wolves	-
105 - 2021-01-09	777	Wolves	-	Admirals	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
107 - 2021-01-11	788	Penguins	-	Wolves	-
109 - 2021-01-13	802	Rocket	-	Wolves	-
110 - 2021-01-14	813	Wolves	-	Monsters	-
112 - 2021-01-16	824	Admirals	-	Wolves	-
113 - 2021-01-17	832	Wolves	-	Sound Tigers	-
114 - 2021-01-18	844	Wolves	-	Senators	-
115 - 2021-01-19	849	Wolves	-	Wolf Pack	-
116 - 2021-01-20	854	Griffins	-	Wolves	-
117 - 2021-01-21	861	Wolves	-	Soldiers	-
119 - 2021-01-23	880	Penguins	-	Wolves	-
122 - 2021-01-26	901	Monsters	-	Wolves	-

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
37	0 - 0.00%	0$	0$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
490,106$	3,688,368$	3,451,785$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	385,274$	0	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	111	37,809$	4,196,799$

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
2020	8	0	7	0	0	0	0	1	13	24	-11	4	0	4	0	0	0	0	0	7	13	-6	4	0	3	0	0	0	0	1	6	11	-5	1	13	24	37	0	0	6	2	5	0	114	45	39	30	2	171	39	113	156	36	2	5.56%	51	12	76.47%	1	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50
Total Saison Régulière	8	0	7	0	0	0	0	1	13	24	-11	4	0	4	0	0	0	0	0	7	13	-6	4	0	3	0	0	0	0	1	6	11	-5	1	13	24	37	0	0	6	2	5	0	114	45	39	30	2	171	39	113	156	36	2	5.56%	51	12	76.47%	1	88	175	50.29%	109	217	50.23%	50	107	46.73%	200	137	186	58	98	50