Ligue de Hockey Simulé de l'Estrie

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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	Devante Smith-Pelly			X		100.00	82	39	91	79	70	70	76	52	50	47	56	69	54	63	74	0	48	69	0
2	Dominic Moore	X				100.00	64	32	94	84	59	60	52	50	54	45	54	68	53	99	88	0	64	67	0
3	Matt Stajan	X				100.00	57	33	93	84	62	61	57	49	56	46	53	69	52	90	83	0	40	66	0
4	Andreas Martinsen		X			100.00	77	39	93	79	78	61	39	48	50	43	52	61	51	69	73	0	65	65	0
5	Brandon Pirri	X				100.00	57	35	94	86	57	64	43	55	51	47	63	60	62	66	71	0	50	65	0
6	Shawn Matthias		X			100.00	55	34	94	80	80	58	39	49	46	44	54	63	53	75	74	0	55	64	0
7	Adam Cracknell			X		100.00	55	35	95	82	71	59	38	47	53	41	52	65	52	84	78	0	53	64	0
8	Matt Read			X		100.00	58	34	95	84	54	63	40	49	50	44	54	67	52	81	78	0	50	64	0
9	PA Parenteau			X		100.00	50	32	94	83	62	57	40	49	43	45	54	57	57	90	79	0	50	63	0
10	Jay McClement	X				100.00	51	32	95	82	66	56	41	47	49	42	51	63	51	90	79	0	50	63	0
11	Lauri Korpikoski		X			100.00	52	31	95	84	62	56	40	48	43	44	52	61	52	81	75	0	50	63	0
12	Matt Beleskey		X			100.00	62	43	94	82	64	61	38	49	50	43	54	60	52	75	74	0	51	63	0
13	Marc Methot				X	100.00	95	39	78	80	77	64	44	51	51	50	52	81	51	84	88	0	31	74	0
14	Nate Prosser				X	100.00	57	33	94	84	63	63	44	51	51	48	53	64	52	81	77	0	46	66	0
15	Nick Schultz				X	100.00	49	31	95	82	62	58	27	46	52	46	50	58	50	93	80	0	49	62	0
16	Patrick Wiercioch				X	100.00	49	33	95	84	70	55	36	48	49	47	52	57	52	69	69	0	50	62	0
17	Adam Pardy				X	100.00	45	33	95	80	76	50	25	46	51	45	50	55	50	87	76	0	47	61	0
18	Nate Guenin				X	100.00	45	32	95	83	67	50	25	45	51	45	50	55	50	93	79	0	50	61	0
Rayé
1	Corban Knight	X				100.00	52	34	95	85	64	57	27	50	57	47	52	66	52	69	71	0	46	63	0
2	Mike Ribeiro	X				100.00	49	31	95	86	55	57	38	50	47	48	52	57	51	99	84	0	44	63	0
3	Rene Bourque			X		100.00	49	32	95	81	72	53	37	47	43	42	53	58	52	96	82	0	50	63	0
4	Dwight King		X			100.00	55	33	95	80	80	57	42	48	42	42	53	58	53	72	71	0	50	63	0
5	Darren Archibald			X		100.00	57	41	94	82	71	58	28	47	48	42	52	66	51	69	71	0	50	62	0
6	Milan Michalek		X			100.00	49	32	95	79	74	55	30	47	43	43	52	59	52	87	77	0	50	62	0
7	Chris Higgins		X			100.00	47	31	95	82	64	53	30	47	41	42	51	58	52	90	78	0	50	61	0
8	Nick Spaling	X				100.00	50	31	95	83	63	54	32	46	44	42	51	59	51	75	71	0	50	60	0
9	Brad Stuart				X	100.00	45	32	95	81	68	50	25	45	52	45	50	55	50	99	82	0	47	61	0
10	Rob Scuderi				X	100.00	45	32	95	81	65	50	25	45	52	45	50	55	50	99	82	0	50	61	0
11	Carson Soucy (R)				X	100.00	45	32	95	83	72	50	25	45	48	45	50	55	50	57	61	0	50	59	0

	MOYENNE D'ÉQUIPE					100.00	55	34	94	82	67	57	37	48	49	45	52	61	52	82	77	0	50	63

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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	Joonas Korpisalo	100.00	78	37	70	71	82	75	79	78	80	65	61	53	60	0	42	73	0
2	Adin Hill (R)	100.00	78	27	80	78	75	74	78	77	76	65	57	45	53	0	39	70	0
Rayé
1	Andrey Makarov (R)	100.00	60	25	62	69	66	60	60	60	60	65	55	57	51	0	50	58	0
2	Antoine Bibeau (R)	100.00	60	25	77	78	57	60	60	60	60	65	55	53	49	0	48	57	0

	MOYENNE D'ÉQUIPE	100.00	69	29	72	74	70	67	69	69	69	65	57	52	53	0	45	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd Reirden	78	77	85	80	71	74	77	USA	47	3	1,100,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	S1	S2	S3
1	Devante Smith-Pelly	Wolf Pack (NYR)	RW	4	3	7	10	0	0	14	6	17	7	10	17.65%	3	92	23.09	2	6	8	6	18	6	1	1	50.00%	20	3	0	0	2.17	1	1	1
2	Dominic Moore	Wolf Pack (NYR)	C	4	5	4	9	0	2	10	11	19	5	13	26.32%	3	93	23.40	4	3	7	6	18	4	1	0	61.83%	131	7	4	1	1.92	1	1	0
3	Marc Methot	Wolf Pack (NYR)	D	4	2	2	4	2	2	18	12	10	6	8	20.00%	4	123	30.84	2	1	3	3	19	5	1	0	0.00%	0	4	4	0	0.65	0	1	1
4	Andreas Martinsen	Wolf Pack (NYR)	LW	4	0	2	2	0	8	6	11	9	3	8	0.00%	1	86	21.57	0	2	2	3	18	0	0	0	60.00%	5	4	1	0	0.46	0	0	0
5	Brandon Pirri	Wolf Pack (NYR)	C	4	0	2	2	2	0	5	5	16	3	7	0.00%	1	67	16.98	0	0	0	0	11	1	0	0	54.76%	42	3	0	0	0.59	0	0	1
6	Matt Read	Wolf Pack (NYR)	RW	4	2	0	2	2	0	6	5	9	6	3	22.22%	0	66	16.55	0	0	0	0	11	0	1	0	0.00%	0	0	1	0	0.60	1	0	0
7	PA Parenteau	Wolf Pack (NYR)	RW	4	0	1	1	-1	0	4	6	3	2	3	0.00%	0	41	10.36	0	1	1	0	1	0	0	0	100.00%	1	2	1	0	0.48	0	0	0
8	Shawn Matthias	Wolf Pack (NYR)	LW	4	0	1	1	2	0	9	4	6	3	2	0.00%	1	71	17.93	0	0	0	1	15	0	0	0	75.00%	4	2	0	0	0.28	0	1	0
9	Nate Prosser	Wolf Pack (NYR)	D	4	1	0	1	1	2	7	8	4	2	8	25.00%	1	113	28.39	1	0	1	1	20	5	0	0	0.00%	0	3	6	0	0.18	0	0	0
10	Jay McClement	Wolf Pack (NYR)	C	4	0	0	0	0	0	9	8	2	1	2	0.00%	1	37	9.47	0	0	0	0	0	1	0	0	30.00%	10	1	0	0	0.00	0	0	0
11	Lauri Korpikoski	Wolf Pack (NYR)	LW	4	0	0	0	-1	0	4	3	4	3	4	0.00%	1	52	13.14	0	0	0	0	0	2	0	0	0.00%	0	5	1	0	0.00	0	0	0
12	Matt Beleskey	Wolf Pack (NYR)	LW	4	0	0	0	0	0	1	2	3	1	7	0.00%	2	35	8.89	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0.00	0	0	0
13	Matt Stajan	Wolf Pack (NYR)	C	1	0	0	0	0	2	1	4	4	0	2	0.00%	0	17	17.30	0	0	0	2	4	0	0	0	50.00%	16	0	0	0	0.00	0	0	0
14	Corban Knight	Wolf Pack (NYR)	C	3	0	0	0	-1	0	1	4	5	3	3	0.00%	2	38	12.77	0	0	0	0	0	0	0	0	27.27%	11	0	1	0	0.00	0	0	0
15	Rene Bourque	Wolf Pack (NYR)	RW	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0.84	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0
16	Adam Pardy	Wolf Pack (NYR)	D	1	0	0	0	0	0	1	1	1	0	0	0.00%	1	12	12.55	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0
17	Nick Schultz	Wolf Pack (NYR)	D	4	0	0	0	-1	0	5	7	2	2	0	0.00%	4	89	22.45	0	0	0	0	14	3	0	0	0.00%	0	2	2	0	0.00	0	0	0
18	Adam Cracknell	Wolf Pack (NYR)	RW	4	0	0	0	-1	0	8	5	7	2	3	0.00%	2	58	14.59	0	0	0	1	4	2	0	0	50.00%	2	1	2	0	0.00	0	0	0
19	Dwight King	Wolf Pack (NYR)	LW	3	0	0	0	0	0	0	0	0	0	0	0.00%	0	4	1.33	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0
20	Patrick Wiercioch	Wolf Pack (NYR)	D	4	0	0	0	-1	2	7	6	7	4	3	0.00%	7	98	24.63	0	0	0	0	13	3	0	0	0.00%	0	4	3	0	0.00	0	0	0
21	Nate Guenin	Wolf Pack (NYR)	D	4	0	0	0	2	0	1	5	5	3	4	0.00%	1	60	15.20	0	0	0	0	1	0	0	0	0.00%	0	1	2	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				75	13	19	32	5	18	117	113	133	56	90	9.77%	35	1264	16.86	9	13	22	23	175	37	4	1	56.20%	242	42	29	1	0.51	3	4	3

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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	PCT	GAA	MP	GA	SA	SAR	ST	BG	S1	S3
1	Joonas Korpisalo	Wolf Pack (NYR)	4	3	0.940	1.73	243	7	116	58	4	0	1	1
2	Adin Hill	Wolf Pack (NYR)	1	1	1.000	0.00	11	0	3	2	0	4	0	0
Stats d'équipe Total ou en Moyenne			5	4	0.941	1.65	255	7	119	60	4	4	1	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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Adam Cracknell	Wolf Pack (NYR)	RW	34	1985-01-01	No	209 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	600,000$	0$	0$	No	Lien NHL
Adam Pardy	Wolf Pack (NYR)	D	35	1984-01-01	No	227 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	550,000$	0$	0$	No	Lien
Adin Hill	Wolf Pack (NYR)	G	23	1996-01-01	Yes	202 Lbs	6 ft6	No	No	No	4	Avec Restriction	Pro & Farm	700,000$	0$	0$	No	Lien NHL
Andreas Martinsen	Wolf Pack (NYR)	LW	29	1990-01-01	No	229 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	550,000$	0$	0$	No	Lien NHL
Andrey Makarov	Wolf Pack (NYR)	G	26	1993-01-01	Yes	178 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	500,000$	0$	0$	No
Antoine Bibeau	Wolf Pack (NYR)	G	25	1994-01-01	Yes	210 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	500,000$	0$	0$	No
Brad Stuart	Wolf Pack (NYR)	D	40	1979-01-01	No	215 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	550,000$	0$	0$	No	Lien
Brandon Pirri	Wolf Pack (NYR)	C	28	1991-01-01	No	186 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	750,000$	0$	0$	No	Lien NHL
Carson Soucy	Wolf Pack (NYR)	D	25	1994-01-01	Yes	208 Lbs	6 ft5	No	No	No	2	Avec Restriction	Pro & Farm	500,000$	0$	0$	No	Lien / Lien NHL
Chris Higgins	Wolf Pack (NYR)	LW	36	1983-01-01	No	205 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	800,000$	0$	0$	No
Corban Knight	Wolf Pack (NYR)	C	29	1990-01-01	No	195 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	550,000$	0$	0$	No
Darren Archibald	Wolf Pack (NYR)	RW	29	1990-01-01	No	210 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	800,000$	0$	0$	No	Lien NHL
Devante Smith-Pelly	Wolf Pack (NYR)	RW	27	1992-01-01	No	223 Lbs	6 ft0	No	No	No	4	Avec Restriction	Pro & Farm	950,000$	0$	0$	No	Lien NHL
Dominic Moore	Wolf Pack (NYR)	C	39	1980-01-01	No	192 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	0$	0$	No	Lien NHL
Dwight King	Wolf Pack (NYR)	LW	30	1989-01-01	No	229 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	575,000$	0$	0$	No
Jay McClement	Wolf Pack (NYR)	C	36	1983-01-01	No	205 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	850,000$	0$	0$	No
Joonas Korpisalo	Wolf Pack (NYR)	G	25	1994-01-01	No	182 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$	0$	0$	No	Lien NHL
Lauri Korpikoski	Wolf Pack (NYR)	LW	33	1986-01-01	No	193 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	800,000$	0$	0$	No
Marc Methot	Wolf Pack (NYR)	D	34	1985-01-01	No	230 Lbs	6 ft4	No	No	No	4	Sans Restriction	Pro & Farm	700,000$	0$	0$	No	Lien / Lien NHL
Matt Beleskey	Wolf Pack (NYR)	LW	31	1988-01-01	No	207 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	1,000,000$	0$	0$	No	Lien NHL
Matt Read (Contrat à 1 Volet)	Wolf Pack (NYR)	RW	33	1986-01-01	No	188 Lbs	5 ft10	No	No	No	2	Sans Restriction	Farm Only	600,000$	60,000$	17,143$	No	Lien NHL
Matt Stajan	Wolf Pack (NYR)	C	36	1983-01-01	No	195 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	750,000$	0$	0$	No	Lien NHL
Mike Ribeiro	Wolf Pack (NYR)	C	39	1980-01-01	No	179 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	575,000$	0$	0$	No
Milan Michalek	Wolf Pack (NYR)	LW	35	1984-01-01	No	225 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	575,000$	0$	0$	No
Nate Guenin	Wolf Pack (NYR)	D	37	1982-01-01	No	207 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	625,000$	0$	0$	No	Lien
Nate Prosser	Wolf Pack (NYR)	D	33	1986-01-01	No	201 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	900,000$	0$	0$	No	Lien / Lien NHL
Nick Schultz	Wolf Pack (NYR)	D	37	1982-01-01	No	203 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	1,200,000$	0$	0$	No	Lien
Nick Spaling	Wolf Pack (NYR)	C	31	1988-01-01	No	198 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	800,000$	0$	0$	No
PA Parenteau	Wolf Pack (NYR)	RW	36	1983-01-01	No	200 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	600,000$	0$	0$	No
Patrick Wiercioch	Wolf Pack (NYR)	D	29	1990-01-01	No	202 Lbs	6 ft5	No	No	No	2	Sans Restriction	Pro & Farm	750,000$	0$	0$	No	Lien
Rene Bourque	Wolf Pack (NYR)	RW	38	1981-01-01	No	217 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	625,000$	0$	0$	No
Rob Scuderi	Wolf Pack (NYR)	D	41	1978-01-01	No	212 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	725,000$	0$	0$	No	Lien
Shawn Matthias	Wolf Pack (NYR)	LW	31	1988-01-01	No	231 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	950,000$	0$	0$	No	Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
33	32.42	206 Lbs	6 ft2	1.61	724,242$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Andreas Martinsen	Dominic Moore	Devante Smith-Pelly	40	1	2	2
2	Shawn Matthias	Matt Stajan	Adam Cracknell	30	1	2	2
3	Lauri Korpikoski	Brandon Pirri	Matt Read	20	1	2	2
4	Matt Beleskey	Jay McClement	PA Parenteau	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc Methot	Nate Prosser	40	1	2	2
2	Patrick Wiercioch	Nick Schultz	30	1	2	2
3	Nate Guenin	Adam Pardy	20	1	2	2
4	Marc Methot	Nate Prosser	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Andreas Martinsen	Dominic Moore	Devante Smith-Pelly	60	1	2	2
2	Shawn Matthias	Matt Stajan	Adam Cracknell	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc Methot	Nate Prosser	60	1	2	2
2	Patrick Wiercioch	Nick Schultz	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Devante Smith-Pelly	Dominic Moore	60	1	2	2
2	Matt Stajan	Andreas Martinsen	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc Methot	Nate Prosser	60	1	2	2
2	Patrick Wiercioch	Nick Schultz	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Devante Smith-Pelly	60	1	2	2	Marc Methot	Nate Prosser	60	1	2	2
2	Dominic Moore	40	1	2	2	Patrick Wiercioch	Nick Schultz	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Devante Smith-Pelly	Dominic Moore	60	1	2	2
2	Matt Stajan	Andreas Martinsen	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Marc Methot	Nate Prosser	60	1	2	2
2	Patrick Wiercioch	Nick Schultz	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Andreas Martinsen	Dominic Moore	Devante Smith-Pelly	Marc Methot	Nate Prosser

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Andreas Martinsen	Dominic Moore	Devante Smith-Pelly	Marc Methot	Nate Prosser

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Brandon Pirri, Matt Read, Lauri Korpikoski	Brandon Pirri, Matt Read	Lauri Korpikoski

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Nate Guenin, Adam Pardy, Patrick Wiercioch	Nate Guenin	Adam Pardy, Patrick Wiercioch

Tirs de Pénalité
Devante Smith-Pelly, Dominic Moore, Matt Stajan, Andreas Martinsen, Brandon Pirri

Gardien
#1 : Joonas Korpisalo, #2 : Adin Hill

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
	Total	4	4	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	8	4	4	8	1.000	13	19	32	0	0	3	6	3	1	133	31	54	40	8	119	35	18	117	25	9	36.00%	9	4	55.56%	0	57	105	54.29%	49	84	58.33%	30	53	56.60%	87	47	88	41	78	40
2	Trashers	4	4	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	8	4	4	8	1.000	13	19	32	0	0	3	6	3	1	133	31	54	40	8	119	35	18	117	25	9	36.00%	9	4	55.56%	0	57	105	54.29%	49	84	58.33%	30	53	56.60%	87	47	88	41	78	40
	_Since Last GM Reset	4	4	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	8	4	4	8	1.000	13	19	32	0	0	3	6	3	1	133	31	54	40	8	119	35	18	117	25	9	36.00%	9	4	55.56%	0	57	105	54.29%	49	84	58.33%	30	53	56.60%	87	47	88	41	78	40
	_Vs Conference	4	4	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	8	4	4	8	1.000	13	19	32	0	0	3	6	3	1	133	31	54	40	8	119	35	18	117	25	9	36.00%	9	4	55.56%	0	57	105	54.29%	49	84	58.33%	30	53	56.60%	87	47	88	41	78	40

			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
4	8	W4	13	19	32	133	119	35	18	117	0	0

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

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	5	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	8	4

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
4	0	0	0	0	0

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
25	9	36.00%	9	4	55.56%	0

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
31	54	40	8	3	6	3	1

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
57	105	54.29%	49	84	58.33%	30	53	56.60%

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
87	47	88	41	78	40

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	Lien
1 - 2020-01-09	1	Trashers	1	Wolf Pack	2	W		Sommaire du Match
2 - 2020-01-10	9	Trashers	2	Wolf Pack	3	W		Sommaire du Match
3 - 2020-01-11	17	Wolf Pack	3	Trashers	2	W	X	Sommaire du Match
4 - 2020-01-12	25	Wolf Pack	5	Trashers	2	W		Sommaire du Match

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	4,000	2,000
Assistance PCT	100.00%	100.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
39	3000 - 100.00%	97,750$	195,500$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	2,330,000$	2,330,000$	0$

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

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	2	0$	0$

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
19	4	4	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	8	4	4	8	13	19	32	0	0	3	6	3	1	133	31	54	40	8	119	35	18	117	25	9	36.00%	9	4	55.56%	0	57	105	54.29%	49	84	58.33%	30	53	56.60%	87	47	88	41	78	40
Total Séries	4	4	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	8	4	4	8	13	19	32	0	0	3	6	3	1	133	31	54	40	8	119	35	18	117	25	9	36.00%	9	4	55.56%	0	57	105	54.29%	49	84	58.33%	30	53	56.60%	87	47	88	41	78	40