Ligue de Hockey Simulé du Saguenay

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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	Âge	Contrat	Salaire
1	Dwight King		X			100.00	81	31	72	76	80	73	85	73	67	76	75	61	68	63	51	32	27	71	0	26	1	950,000$
2	Iiro Pakarinen (R) (C)			X		100.00	72	34	69	74	69	76	72	74	77	77	73	59	67	61	60	41	30	70	0	24	2	625,000$
3	Jordan Martinook (R) (A)		X			100.00	83	55	72	75	79	72	77	74	60	73	70	65	58	49	47	50	55	70	0	23	2	800,000$
4	Vince Hinostroza (R)			X		100.00	70	30	76	72	73	59	81	73	57	70	74	69	57	44	43	55	38	68	0	21	2	600,000$
5	Nikolaj Ehlers (R)			X		100.00	59	30	82	70	65	74	74	71	83	86	68	50	62	46	41	70	66	67	0	19	1	500,000$
6	Nathan Walker (R) (A)		X			100.00	65	31	68	75	64	74	65	76	68	70	68	58	73	43	46	60	59	66	0	21	1	500,000$
7	Cedric Paquette (R)	X				100.00	86	64	82	61	77	57	83	72	60	64	64	56	62	45	44	50	38	65	0	22	2	750,000$
8	Nicolas Petan (R)	X				100.00	61	36	78	65	62	69	63	68	80	74	63	52	57	42	42	62	27	64	0	20	2	500,000$
9	Dominik Kahun (R)	X				100.00	50	30	77	62	52	71	69	69	82	79	64	49	55	45	42	68	60	63	0	20	2	500,000$
10	Brendan Perlini (R)		X			100.00	61	22	78	70	73	64	69	62	58	60	79	49	68	42	41	66	28	63	0	19	1	500,000$
11	Mitchell Stephens (R)	X				100.00	45	23	87	66	63	74	60	43	66	60	53	57	42	40	40	76	16	57	0	18	2	500,000$
12	Troy Stetcher (R)				X	100.00	61	32	72	86	65	51	73	81	38	86	53	69	47	46	43	61	47	68	0	21	2	500,000$
13	Mirco Mueller (R)				X	100.00	66	22	78	64	68	70	70	66	48	68	56	77	48	44	42	60	18	66	0	20	2	600,000$
14	Vladislav Gavrikov (R)				X	100.00	64	45	81	58	65	67	63	63	50	71	57	70	54	44	44	64	38	65	0	20	2	500,000$
15	Ludwig Bystrom (R)				X	100.00	65	23	73	75	65	62	68	72	42	67	51	71	50	44	43	50	60	65	0	21	2	500,000$
16	Matthew Benning (R)				X	100.00	62	22	78	63	61	66	59	58	42	65	54	67	49	43	43	55	18	62	0	21	2	400,000$
17	Alexandre Carrier (R)				X	100.00	45	31	77	73	55	52	66	76	33	68	60	67	43	43	41	71	60	61	0	19	2	500,000$
Rayé
1	Frank Vatrano (R)			X		100.00	88	45	65	74	73	61	76	73	57	71	63	65	61	46	46	67	29	67	0	21	2	500,000$
2	Nikolay Goldobin (R)			X		100.00	57	37	78	71	62	61	49	77	58	65	65	62	76	41	41	67	39	64	0	19	1	500,000$
3	Nicklas Jensen (R)			X		100.00	59	51	77	63	64	66	70	69	66	65	63	54	62	44	44	51	20	63	0	22	2	550,000$
4	Mackenzie MacEachern (R)		X			100.00	56	29	68	66	56	66	58	74	66	59	68	50	73	43	43	45	19	61	0	21	1	350,000$
5	Oskar Lindblom (R)		X			100.00	66	41	75	63	57	64	63	66	70	60	67	49	66	41	41	68	18	61	0	19	1	500,000$
6	Jeremy Bracco (R)			X		100.00	53	30	70	61	49	62	68	68	80	76	63	39	52	40	40	71	19	60	0	18	2	500,000$
7	Colin White (R)	X				100.00	56	24	81	61	66	72	60	46	56	62	44	57	55	40	40	70	21	57	0	18	2	500,000$
8	John Hayden (R)	X				100.00	57	40	76	59	60	66	61	57	65	61	57	47	53	42	42	55	21	57	0	20	1	350,000$
9	Jayce Hawryluk (R)			X		100.00	73	45	57	62	61	50	68	53	42	55	52	52	43	41	41	60	21	54	0	19	1	500,000$
10	David Kase (R)			X		100.00	59	28	57	55	52	54	61	54	57	53	59	41	58	40	40	62	21	53	0	18	2	500,000$
11	Jansen Harkins (R)	X				100.00	45	27	65	50	43	42	47	53	59	51	57	39	37	40	40	62	21	49	0	18	1	350,000$
12	Jesse Graham (R)				X	100.00	53	37	67	75	62	53	64	65	43	64	56	67	44	43	43	50	18	61	0	21	1	600,000$
13	John Marino (R)				X	100.00	64	43	73	61	58	65	64	63	46	68	57	56	46	40	40	71	19	60	0	18	2	500,000$
14	Sami Niku (R)				X	100.00	50	35	61	73	51	53	72	68	29	67	60	51	31	43	42	64	19	59	0	19	2	500,000$
15	William Lagesson (R)				X	100.00	51	25	71	72	54	49	58	66	24	66	49	59	47	41	41	66	20	58	0	19	1	500,000$
16	Ryan Collins (R)				X	100.00	50	31	60	55	59	54	57	53	40	62	51	56	46	41	41	60	21	54	0	19	1	500,000$

	MOYENNE D'ÉQUIPE					100.00	62	34	73	67	63	63	66	66	57	67	61	57	55	44	43	60	31	62

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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	Magnus Hellberg	100.00	75	61	71	80	74	66	67	73	73	70	76	60	56	37	60	70	0
2	Joey Daccord (R)	100.00	62	62	62	43	46	70	71	50	48	62	48	42	41	70	16	56	0
Rayé
1	Philippe Desrosiers	100.00	66	45	62	74	70	55	47	59	58	50	70	42	42	59	19	58	0

	MOYENNE D'ÉQUIPE	100.00	68	56	65	66	63	64	62	61	60	61	65	48	46	55	32	61

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Adams Oates	53	56	85	72	37	59	54	CAN	51	3	950,000$

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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	PKS	PKM	FO%	FOT	GA	TA	P/20	S3
1	Dominik Kahun	Moose (Win)	C	4	0	4	4	-4	0	3	12	5	2	5	0.00%	1	86	21.62	0	2	2	1	19	0	1	59.56%	136	1	1	0.93	0
2	Nikolaj Ehlers	Moose (Win)	RW	4	4	0	4	-4	2	4	2	24	2	8	16.67%	0	82	20.73	2	0	2	5	19	0	0	40.00%	5	5	1	0.96	1
3	Troy Stetcher	Moose (Win)	D	4	1	2	3	-2	0	6	6	20	4	3	5.00%	4	103	25.78	1	1	2	4	21	1	11	0.00%	0	2	0	0.58	0
4	Jordan Martinook	Moose (Win)	LW	4	0	3	3	0	2	16	5	15	5	4	0.00%	1	79	19.86	0	1	1	3	19	0	10	44.44%	9	4	1	0.76	0
5	Nicolas Petan	Moose (Win)	C	4	0	2	2	-1	0	3	8	4	4	4	0.00%	0	61	15.41	0	1	1	1	16	0	0	51.92%	52	0	1	0.65	0
6	Dwight King	Moose (Win)	LW	4	1	1	2	-4	2	13	4	23	5	17	4.35%	2	87	22.00	1	0	1	5	16	0	6	100.00%	4	2	4	0.45	0
7	Frank Vatrano	Moose (Win)	RW	4	1	0	1	1	4	9	2	8	1	4	12.50%	0	33	8.33	0	0	0	0	1	0	5	0.00%	0	1	2	0.60	0
8	Vladislav Gavrikov	Moose (Win)	D	4	0	1	1	-3	2	7	7	2	1	2	0.00%	7	90	22.62	0	1	1	0	16	0	10	0.00%	0	3	0	0.22	0
9	Mitchell Stephens	Moose (Win)	C	4	0	1	1	2	0	0	1	0	0	0	0.00%	1	31	7.90	0	0	0	0	0	0	0	50.00%	16	0	0	0.63	0
10	Ludwig Bystrom	Moose (Win)	D	4	0	1	1	-5	6	2	4	5	0	2	0.00%	3	102	25.65	0	1	1	1	20	0	13	0.00%	0	1	6	0.19	0
11	Vince Hinostroza	Moose (Win)	RW	4	1	0	1	-1	2	5	8	12	5	9	8.33%	1	79	19.93	0	0	0	1	16	0	15	83.33%	6	5	2	0.25	0
12	Mirco Mueller	Moose (Win)	D	4	1	0	1	-2	4	7	6	8	2	2	12.50%	9	86	21.67	0	0	0	0	0	2	15	0.00%	0	1	3	0.23	0
13	Cedric Paquette	Moose (Win)	C	4	0	0	0	-2	0	4	10	3	1	1	0.00%	0	59	14.99	0	0	0	0	0	0	16	45.24%	42	0	1	0.00	0
14	Iiro Pakarinen	Moose (Win)	RW	4	0	0	0	-2	0	5	2	6	2	6	0.00%	2	47	11.77	0	0	0	0	2	0	0	50.00%	2	0	0	0.00	0
15	Alexandre Carrier	Moose (Win)	D	4	0	0	0	0	2	1	7	3	0	2	0.00%	2	70	17.57	0	0	0	1	16	0	4	0.00%	0	2	0	0.00	0
16	Matthew Benning	Moose (Win)	D	4	0	0	0	-1	4	1	4	0	1	1	0.00%	4	52	13.15	0	0	0	0	2	0	0	0.00%	0	2	4	0.00	0
17	Brendan Perlini	Moose (Win)	LW	4	0	0	0	1	0	1	4	4	3	1	0.00%	0	35	8.92	0	0	0	0	2	0	0	50.00%	2	1	0	0.00	0
18	Nathan Walker	Moose (Win)	LW	4	0	0	0	-2	4	3	2	2	3	6	0.00%	1	41	10.40	0	0	0	0	0	0	0	0.00%	1	2	0	0.00	0
Stats d'équipe Total ou en Moyenne				72	9	15	24	-29	34	90	94	144	41	77	6.25%	38	1233	17.13	4	7	11	22	190	3	112	55.27%	275	32	26	0.39	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	SAR	ST	BG	S2
1	Joey Daccord	Moose (Win)	1	0	0	0.909	2.00	30	1	11	5	0	4	0
2	Magnus Hellberg	Moose (Win)	4	3	1	0.908	3.56	219	13	141	73	4	0	1
Stats d'équipe Total ou en Moyenne			5	3	1	0.908	3.36	250	14	152	78	4	4	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	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3
Alexandre Carrier	Moose (Win)	D	19	1996-01-01	Yes	174 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Brendan Perlini	Moose (Win)	LW	19	1996-01-01	Yes	211 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Cedric Paquette	Moose (Win)	C	22	1993-01-01	Yes	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	900,000$
Colin White	Moose (Win)	C	18	1997-01-01	Yes	191 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
David Kase	Moose (Win)	RW	18	1997-01-01	Yes	169 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Dominik Kahun	Moose (Win)	C	20	1995-01-01	Yes	175 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Dwight King	Moose (Win)	LW	26	1989-01-01	No	227 Lbs	6 ft3	No	No	No	1	Pro & Farm	950,000$	0$	0$	No
Frank Vatrano	Moose (Win)	RW	21	1994-01-01	Yes	197 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Iiro Pakarinen	Moose (Win)	RW	24	1991-01-01	Yes	215 Lbs	6 ft1	No	No	No	2	Pro & Farm	625,000$	0$	0$	No	650,000$
Jansen Harkins	Moose (Win)	C	18	1997-01-01	Yes	182 Lbs	6 ft1	No	No	No	1	Farm Only	350,000$	0$	0$	No
Jayce Hawryluk	Moose (Win)	RW	19	1996-01-01	Yes	185 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Jeremy Bracco	Moose (Win)	RW	18	1997-01-01	Yes	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Jesse Graham	Moose (Win)	D	21	1994-01-01	Yes	170 Lbs	5 ft11	No	No	No	1	Pro & Farm	600,000$	0$	0$	No
Joey Daccord	Moose (Win)	G	19	1996-01-01	Yes	197 Lbs	6 ft2	No	No	No	3	Pro & Farm	500,000$	0$	0$	No	550,000$	600,000$
John Hayden	Moose (Win)	C	20	1995-01-01	Yes	185 Lbs	6 ft3	No	No	No	1	Farm Only	350,000$	0$	0$	No
John Marino	Moose (Win)	D	18	1997-01-01	Yes	181 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Jordan Martinook	Moose (Win)	LW	23	1992-01-01	Yes	202 Lbs	5 ft11	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	900,000$
Ludwig Bystrom	Moose (Win)	D	21	1994-01-01	Yes	169 Lbs	6 ft0	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	600,000$
Mackenzie MacEachern	Moose (Win)	LW	21	1994-01-01	Yes	180 Lbs	6 ft2	No	No	No	1	Pro & Farm	350,000$	0$	0$	No
Magnus Hellberg	Moose (Win)	G	24	1991-01-01	No	185 Lbs	6 ft5	No	No	No	1	Pro & Farm	750,000$	0$	0$	No
Matthew Benning	Moose (Win)	D	21	1994-01-01	Yes	180 Lbs	6 ft0	No	No	No	2	Pro & Farm	400,000$	0$	0$	No	400,000$
Mirco Mueller	Moose (Win)	D	20	1995-01-01	Yes	185 Lbs	6 ft4	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	700,000$
Mitchell Stephens	Moose (Win)	C	18	1997-01-01	Yes	193 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Nathan Walker	Moose (Win)	LW	21	1994-01-01	Yes	186 Lbs	5 ft9	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Nicklas Jensen	Moose (Win)	RW	22	1993-01-01	Yes	186 Lbs	6 ft3	No	No	No	2	Pro & Farm	550,000$	0$	0$	No	550,000$
Nicolas Petan	Moose (Win)	C	20	1995-01-01	Yes	185 Lbs	5 ft9	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	525,000$
Nikolaj Ehlers	Moose (Win)	RW	19	1996-01-01	Yes	172 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Nikolay Goldobin	Moose (Win)	RW	19	1996-01-01	Yes	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Oskar Lindblom	Moose (Win)	LW	19	1996-01-01	Yes	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Philippe Desrosiers	Moose (Win)	G	20	1995-01-01	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	400,000$	0$	0$	No
Ryan Collins	Moose (Win)	D	19	1996-01-01	Yes	204 Lbs	6 ft5	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Sami Niku	Moose (Win)	D	19	1996-01-01	Yes	176 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Troy Stetcher	Moose (Win)	D	21	1994-01-01	Yes	186 Lbs	5 ft10	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Vince Hinostroza	Moose (Win)	RW	21	1994-01-01	Yes	158 Lbs	5 ft9	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	750,000$
Vladislav Gavrikov	Moose (Win)	D	20	1995-01-01	Yes	213 Lbs	6 ft3	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
William Lagesson	Moose (Win)	D	19	1996-01-01	Yes	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	0$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
36	20.19	188 Lbs	6 ft1	1.61	529,861$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Dwight King	Dominik Kahun	Nikolaj Ehlers	40	1	2	2
2	Jordan Martinook	Nicolas Petan	Vince Hinostroza	30	1	2	2
3	Nathan Walker	Cedric Paquette	Iiro Pakarinen	20	1	2	2
4	Brendan Perlini	Mitchell Stephens		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mirco Mueller	Troy Stetcher	40	1	2	2
2	Vladislav Gavrikov	Ludwig Bystrom	35	1	2	2
3	Alexandre Carrier	Matthew Benning	25	1	2	2
4	Troy Stetcher	Matthew Benning	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jordan Martinook	Dominik Kahun	Nikolaj Ehlers	60	0	1	4
2	Dwight King	Nicolas Petan	Vince Hinostroza	40	0	1	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Ludwig Bystrom	Troy Stetcher	60	0	1	4
2	Vladislav Gavrikov	Alexandre Carrier	40	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Cedric Paquette	Vince Hinostroza	60	1	3	1
2	Jordan Martinook		40	1	3	1

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mirco Mueller	Ludwig Bystrom	60	1	4	0
2	Vladislav Gavrikov	Troy Stetcher	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	0	4	1	Matthew Benning	Vladislav Gavrikov	60	1	3	1
2	Vince Hinostroza	40	0	4	1	Troy Stetcher	Ludwig Bystrom	40	1	3	1

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Dominik Kahun	Nikolaj Ehlers	60	1	2	2
2	Cedric Paquette	Vince Hinostroza	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Troy Stetcher	Ludwig Bystrom	60	1	2	2
2	Mirco Mueller	Vladislav Gavrikov	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Dwight King	Dominik Kahun	Iiro Pakarinen	Ludwig Bystrom	Troy Stetcher

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jordan Martinook	Cedric Paquette	Vince Hinostroza	Mirco Mueller	Vladislav Gavrikov

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jordan Martinook, Iiro Pakarinen, Vince Hinostroza	Iiro Pakarinen, Brendan Perlini	Dwight King

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alexandre Carrier, Vladislav Gavrikov, Ludwig Bystrom	Alexandre Carrier	Ludwig Bystrom, Vladislav Gavrikov

Tirs de Pénalité
Iiro Pakarinen, Brendan Perlini, Nathan Walker, , Cedric Paquette

Gardien
#1 : Magnus Hellberg, #2 : Joey Daccord

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

Lignes de Défense Perso. en Prol.
, Alexandre Carrier, , Ludwig Bystrom,

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	Rocket	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	5	8	-3	2	0	2	0	0	0	0	0	4	6	-2	0	0.000	9	15	24	0	0	1	6	2	0	144	41	48	49	6	152	38	34	90	23	4	17.39%	17	3	82.35%	0	61	112	54.46%	62	104	59.62%	29	59	49.15%	87	46	90	40	74	38
	Total	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	5	8	-3	2	0	2	0	0	0	0	0	4	6	-2	0	0.000	9	15	24	0	0	1	6	2	0	144	41	48	49	6	152	38	34	90	23	4	17.39%	17	3	82.35%	0	61	112	54.46%	62	104	59.62%	29	59	49.15%	87	46	90	40	74	38
	_Since Last GM Reset	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	5	8	-3	2	0	2	0	0	0	0	0	4	6	-2	0	0.000	9	15	24	0	0	1	6	2	0	144	41	48	49	6	152	38	34	90	23	4	17.39%	17	3	82.35%	0	61	112	54.46%	62	104	59.62%	29	59	49.15%	87	46	90	40	74	38
	_Vs Conference	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	5	8	-3	2	0	2	0	0	0	0	0	4	6	-2	0	0.000	9	15	24	0	0	1	6	2	0	144	41	48	49	6	152	38	34	90	23	4	17.39%	17	3	82.35%	0	61	112	54.46%	62	104	59.62%	29	59	49.15%	87	46	90	40	74	38
	_Vs Division	4	0	4	0	0	0	0	0	9	14	-5	2	0	2	0	0	0	0	0	5	8	-3	2	0	2	0	0	0	0	0	4	6	-2	0	0.000	9	15	24	0	0	1	6	2	0	144	41	48	49	6	152	38	34	90	23	4	17.39%	17	3	82.35%	0	61	112	54.46%	62	104	59.62%	29	59	49.15%	87	46	90	40	74	38

			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	0	L2	9	15	24	144	152	38	34	90	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	9	14

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	8

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	4	6

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	3	0	1	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
23	4	17.39%	17	3	82.35%	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
41	48	49	6	1	6	2	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
61	112	54.46%	62	104	59.62%	29	59	49.15%

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	46	90	40	74	38

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 - 2020-10-09	2	Moose	3	Rocket	4	L		Sommaire du Match
2 - 2020-10-10	10	Moose	1	Rocket	2	L	X	Sommaire du Match
3 - 2020-10-11	18	Rocket	3	Moose	2	L		Sommaire du Match
4 - 2020-10-12	26	Rocket	5	Moose	3	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité	2000	1000
Prix des Billets	28	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	Popularité de l'Équipe
38	3000 - 100.00%	74,550$	149,100$	3000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
0$	1,907,500$	1,837,500$	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$	0	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

	Moose
	GP: 4 \| W: 0 \| L: 4 GF: 9 \| GA: 14 \| PP%: 17.39% \| PK%: 82.35% DG: Pascal Verret \| Morale : 9 \| Moyenne d'Équipe : 62