Profi League

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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	Ryan Garbutt		X	X		100.00	76	58	80	77	67	72	83	66	61	42	42	66	50	65	66	0	43	64	0
2	Jared McCann (R)	X				100.00	64	42	66	78	50	59	67	68	85	42	44	61	93	52	52	0	46	59	0
3	Freddie Hamilton (A)	X		X		100.00	85	72	78	74	55	69	68	61	79	37	38	60	50	46	46	0	46	58	0
4	Derek Grant	X	X			100.00	69	45	68	74	59	54	64	63	79	39	38	63	50	47	47	0	46	57	0
5	Andy Andreoff	X	X			100.00	71	99	58	72	59	51	62	60	71	39	44	61	50	54	54	0	48	57	0
6	Mitch Moroz (R)		X			100.00	80	78	57	63	79	63	62	55	66	34	35	55	57	50	50	0	46	56	0
7	Curtis McKenzie		X			100.00	55	72	57	72	55	68	64	62	79	40	41	57	58	47	47	0	46	56	0
8	Luke Gazdic (A)		X	X		100.00	67	99	65	68	60	49	61	62	57	36	41	58	50	59	59	0	57	56	0
9	Sonny Milano (R)		X			100.00	69	67	73	75	52	53	60	58	69	35	36	58	50	44	44	0	46	54	0
10	Justin Shugg		X	X		100.00	58	67	60	65	51	66	64	59	71	37	35	56	50	44	44	0	46	53	0
11	Kyle Platzer (R)	X				100.00	64	66	71	67	51	51	60	56	67	32	32	59	50	44	44	0	46	52	0
12	Hunter Smith (R)			X		100.00	59	81	58	63	59	52	60	53	66	28	29	54	50	44	44	0	46	49	0
13	Adam Pelech (R)				X	100.00	72	82	69	59	64	65	67	58	25	42	37	75	50	49	44	0	46	58	0
14	Jarred Tinordi				X	100.00	76	90	66	63	65	63	66	63	25	39	37	73	50	49	50	0	50	58	0
15	Ryan Graves (R)				X	100.00	61	83	66	64	64	62	66	58	25	29	33	61	50	48	48	0	55	54	0
16	Pat Sieloff (R)				X	100.00	61	74	64	69	59	60	64	57	25	33	35	58	55	52	57	0	47	54	0
17	Mat Bodie				X	100.00	55	65	61	58	56	69	71	67	25	37	31	55	50	45	45	0	46	53	0
18	Maxime Fortunus				X	100.00	61	72	68	59	59	68	70	58	25	29	31	61	50	48	48	0	46	53	0
Rayé
1	Alex Broadhurst (R)	X				100.00	69	67	73	60	52	60	61	58	71	38	34	55	50	44	44	0	46	53	0
2	Ryan Kujawinski (R)	X		X		100.00	60	75	62	67	57	53	60	56	69	32	31	58	50	44	44	0	46	51	0
3	Kevin Sundher	X				100.00	56	65	59	64	50	51	59	59	65	32	39	56	56	44	44	0	46	51	0
4	Brady Vail	X				100.00	47	35	80	67	71	45	40	49	32	28	28	50	50	39	43	0	46	47	0
5	Mark Cundari				X	100.00	56	68	62	72	57	64	67	60	25	30	32	55	50	45	45	0	46	53	0
6	Mark Alt				X	100.00	59	77	66	59	62	66	68	60	25	30	30	59	50	47	47	0	46	53	0
7	Christian Djoos (R)				X	100.00	56	58	67	64	55	60	65	66	25	32	33	56	50	45	44	0	46	52	0

	MOYENNE D'ÉQUIPE					100.00	64	70	66	67	59	60	64	60	52	35	35	59	53	48	48	0	47	54

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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	Curtis McElhinney	99.00	66	70	75	79	63	81	72	71	70	61	61	74	74	0	43	69	0
2	Brad Thiessen	100.00	84	76	67	79	70	66	70	71	70	69	57	55	55	0	46	68	0
Rayé
1	Maxime Lagace	100.00	68	74	67	76	67	70	65	69	68	65	46	55	55	0	43	65	0
2	Philippe Desrosiers (R)	100.00	61	70	67	70	66	71	64	67	63	63	48	55	55	0	46	63	0

	MOYENNE D'ÉQUIPE	99.75	70	73	69	76	67	72	68	70	68	65	53	60	60	0	45	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Gerry Fleming	75	66	66	70	60	60	72	CAN	49	5	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	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPP	PKG	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Jared McCann	Stars (DAL)		C	4	1	2	3	2	4	0	7	19	7	13	5.26%	1	20.:.52	0	0	6	0	0	62.34%	77	15	5	0	0	0.72	0
2	Adam Pelech	Stars (DAL)		D	4	1	1	2	0	0	0	8	10	5	1	10.00%	9	25.:.45	0	0	5	0	0	0.00%	0	0	10	0	0	0.39	0
3	Ryan Garbutt	Stars (DAL)		LW/RW	4	1	1	2	2	0	0	6	22	4	6	4.55%	6	21.:.28	0	0	8	0	0	58.82%	17	10	2	0	0	0.47	0
4	Curtis McKenzie	Stars (DAL)		LW	4	1	1	2	-3	0	0	3	11	6	7	9.09%	2	15.:.27	0	0	0	0	0	58.33%	12	12	0	0	0	0.65	0
5	Mat Bodie	Stars (DAL)		D	4	0	1	1	-2	0	0	1	4	2	2	0.00%	6	20.:.34	0	0	4	0	0	0.00%	0	0	6	0	0	0.24	0
6	Ryan Graves	Stars (DAL)		D	4	0	1	1	0	37	25	1	3	0	1	0.00%	3	14.:.47	0	0	0	0	0	0.00%	0	0	2	0	0	0.34	0
7	Andy Andreoff	Stars (DAL)		C/LW	4	1	0	1	-2	30	20	7	11	7	9	9.09%	1	14.:.51	0	0	0	0	0	50.00%	38	9	0	0	0	0.34	1
8	Freddie Hamilton	Stars (DAL)		C/RW	4	0	1	1	2	0	0	3	4	0	4	0.00%	1	18.:.46	0	0	0	0	0	85.71%	7	2	4	0	0	0.27	0
9	Alex Broadhurst	Stars (DAL)		C	3	0	0	0	-1	2	0	5	1	1	4	0.00%	3	12.:.42	0	0	0	0	0	39.13%	23	1	2	0	0	0.00	0
10	Derek Grant	Stars (DAL)		C/LW	4	0	0	0	-2	0	0	5	7	4	6	0.00%	2	15.:.44	0	0	0	0	0	64.29%	14	13	1	0	0	0.00	0
11	Hunter Smith	Stars (DAL)		RW	4	0	0	0	0	2	0	3	3	0	0	0.00%	0	10.:.10	0	0	0	0	0	0.00%	2	2	0	0	0	0.00	0
12	Kyle Platzer	Stars (DAL)		C	4	0	0	0	0	0	0	2	2	5	6	0.00%	0	09.:.57	0	0	0	0	0	50.00%	30	3	1	0	0	0.00	0
13	Jarred Tinordi	Stars (DAL)		D	4	0	0	0	-1	22	20	12	5	4	1	0.00%	7	23.:.55	0	0	5	0	0	0.00%	0	10	6	0	0	0.00	0
14	Sonny Milano	Stars (DAL)		LW	4	0	0	0	-2	0	0	6	12	5	4	0.00%	1	11.:.41	0	0	0	0	0	0.00%	2	8	2	0	0	0.00	0
15	Justin Shugg	Stars (DAL)		LW/RW	4	0	0	0	-2	2	0	2	2	1	5	0.00%	2	13.:.21	0	0	2	0	0	25.00%	4	6	4	0	0	0.00	0
16	Mitch Moroz	Stars (DAL)		LW	1	0	0	0	0	0	0	3	0	0	1	0.00%	0	10.:.22	0	0	0	0	0	0.00%	0	1	0	0	0	0.00	0
17	Maxime Fortunus	Stars (DAL)		D	4	0	0	0	-1	0	0	1	2	4	1	0.00%	6	15.:.43	0	0	1	0	0	0.00%	0	0	3	0	0	0.00	0
18	Pat Sieloff	Stars (DAL)		D	4	0	0	0	-2	7	5	8	7	1	2	0.00%	8	19.:.56	0	0	3	0	0	0.00%	0	3	3	0	0	0.00	0
19	Luke Gazdic	Stars (DAL)		LW/RW	4	0	0	0	-1	25	25	7	4	2	5	0.00%	2	14.:.13	0	0	0	0	0	0.00%	0	12	1	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		72	5	8	13	-13	131	95	90	106	129	58	78	3.88%	60	1197	16.63	0	12	59	0	1	39	0	0	54.87%	226	107	52	0	0.22	0	1	8	1	10	0	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 Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S2	S3
1	Curtis McElhinney	Stars (DAL)	3	0	2	1	92.3%	2.65	181	0	0	8	104	52	0	0.0%	0	3	1	0	0
2	Brad Thiessen	Stars (DAL)	1	0	1	0	87.5%	4.00	60	0	0	4	32	19	0	0.0%	0	1	3	0	0
Stats d'équipe Total ou en Moyenne	4	0	3	1	0.912	2.99	241	0	0	12	136	71	0	0	0.000	4	4	0	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 Joueur	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Adam Pelech	D	22	18.08.1994 14:45:13	Yes	220 Lbs	6 ft3	No	No	3	Pro & Farm	1,100,000$	0$	1,100,000$	1,100,000$								Lien
Alex Broadhurst	C	23	07.03.1993	Yes	188 Lbs	5 ft11	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Andy Andreoff	C/LW	25	17.05.1991 10:13:00	No	207 Lbs	6 ft1	No	No	2	Pro & Farm	1,300,000$	0$	1,300,000$									Lien
Brad Thiessen	G	30	29.01.1986	No	180 Lbs	6 ft0	No	No	1	Pro & Farm	800,000$	0$										Lien
Brady Vail	C	22	11.03.1994 4:40:59	No	196 Lbs	6 ft1	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Christian Djoos	D	22	06.08.1994	Yes	159 Lbs	5 ft11	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Curtis McElhinney	G	33	23.09.1983	No	205 Lbs	6 ft3	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Curtis McKenzie	LW	25	21.02.1991 4:46:58	No	192 Lbs	6 ft2	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Derek Grant	C/LW	26	20.04.1990	No	206 Lbs	6 ft3	No	No	1	Pro & Farm	800,000$	0$										Lien
Freddie Hamilton	C/RW	24	01.01.1992 4:37:16	No	195 Lbs	6 ft1	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Hunter Smith	RW	21	10.09.1995	Yes	208 Lbs	6 ft7	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Jared McCann	C	20	31.05.1996 3:30:33	Yes	179 Lbs	6 ft0	No	No	3	Pro & Farm	1,500,000$	0$	1,500,000$	1,500,000$								Lien
Jarred Tinordi	D	24	20.02.1992 17:37:33	No	225 Lbs	6 ft6	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Justin Shugg	LW/RW	24	24.12.1991 10:14:01	No	185 Lbs	5 ft11	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Kevin Sundher	C	24	18.01.1992 4:40:15	No	179 Lbs	6 ft0	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Kyle Platzer	C	21	03.03.1995	Yes	182 Lbs	5 ft11	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Luke Gazdic	LW/RW	27	25.07.1989	No	233 Lbs	6 ft4	No	No	1	Pro & Farm	700,000$	0$										Lien
Mark Alt	D	25	18.10.1991 4:39:21	No	201 Lbs	6 ft4	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Mark Cundari	D	26	23.04.1990	No	195 Lbs	5 ft9	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Mat Bodie	D	26	03.07.1990 14:41:49	No	175 Lbs	6 ft0	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Maxime Fortunus	D	33	28.07.1983	No	202 Lbs	5 ft11	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Maxime Lagace	G	23	11.01.1993	No	185 Lbs	6 ft2	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Mitch Moroz	LW	22	03.05.1994	Yes	214 Lbs	6 ft3	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Pat Sieloff	D	22	15.05.1994	Yes	200 Lbs	6 ft1	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Philippe Desrosiers	G	21	15.08.1995	Yes	195 Lbs	6 ft1	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Ryan Garbutt	LW/RW	31	12.08.1985	No	195 Lbs	6 ft0	No	No	1	Pro & Farm	1,500,000$	0$										Lien
Ryan Graves	D	21	20.05.1995	Yes	220 Lbs	6 ft4	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Ryan Kujawinski	C/RW	21	30.03.1995	Yes	200 Lbs	6 ft2	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Sonny Milano	LW	20	11.05.1996	Yes	183 Lbs	6 ft0	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
29	24.28	197 Lbs	6 ft1	5.6896551724138	489,655$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Jared McCann	Ryan Garbutt	Freddie Hamilton	40	1	2	2
2	Andy Andreoff	Curtis McKenzie	Luke Gazdic	30	1	2	2
3	Derek Grant	Sonny Milano	Justin Shugg	20	1	2	2
4	Kyle Platzer	Mitch Moroz	Hunter Smith	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jarred Tinordi	Adam Pelech	40	1	2	2
2	Pat Sieloff	Mat Bodie	30	1	2	2
3	Ryan Graves	Maxime Fortunus	20	1	2	2
4	Jarred Tinordi	Adam Pelech	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Jared McCann	Ryan Garbutt	Freddie Hamilton	60	1	2	2
2	Andy Andreoff	Curtis McKenzie	Luke Gazdic	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jarred Tinordi	Adam Pelech	60	1	2	2
2	Pat Sieloff	Mat Bodie	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Garbutt	Jared McCann	60	1	2	2
2	Freddie Hamilton	Andy Andreoff	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jarred Tinordi	Adam Pelech	60	1	2	2
2	Pat Sieloff	Mat Bodie	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Ryan Garbutt	60	1	2	2	Jarred Tinordi	Adam Pelech	60	1	2	2
2	Jared McCann	40	1	2	2	Pat Sieloff	Mat Bodie	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Ryan Garbutt	Jared McCann	60	1	2	2
2	Freddie Hamilton	Andy Andreoff	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jarred Tinordi	Adam Pelech	60	1	2	2
2	Pat Sieloff	Mat Bodie	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Jared McCann	Ryan Garbutt	Freddie Hamilton	Jarred Tinordi	Adam Pelech

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Jared McCann	Ryan Garbutt	Freddie Hamilton	Jarred Tinordi	Adam Pelech

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Curtis McKenzie, Sonny Milano, Justin Shugg	Curtis McKenzie, Sonny Milano	Justin Shugg

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ryan Graves, Maxime Fortunus, Pat Sieloff	Ryan Graves	Maxime Fortunus, Pat Sieloff

Tirs de Pénalité
Ryan Garbutt, Jared McCann, Freddie Hamilton, Andy Andreoff, Derek Grant

Gardien
#1 : Curtis McElhinney, #2 : Brad Thiessen

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

#	VS Équipe	GP	L	OTL	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PP%	PKA	PK GA	PK%	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	Rampage	1	1	0	2	4	-2	0	0.000	2	4	6	1	3	1	34	51	47	31	35	13	44	25	1	0.00%	2	2	0.00%	45	75	60.00%	51	98	52.04%	28	53	52.83%	91	59	90	33	61	30
2	Griffins	1	1	0	1	4	-3	0	0.000	1	1	2	1	3	1	21	51	47	31	32	13	26	24	0	0.00%	3	1	66.67%	45	75	60.00%	51	98	52.04%	28	53	52.83%	91	59	90	33	61	30
3	Barons	1	0	1	1	2	-1	1	0.500	1	2	3	1	3	1	42	51	47	31	33	22	42	24	3	0.00%	1	1	0.00%	45	75	60.00%	51	98	52.04%	28	53	52.83%	91	59	90	33	61	30
4	Comets	1	1	0	1	2	-1	0	0.000	1	1	2	1	3	1	32	51	47	31	36	12	19	17	4	0.00%	3	0	100.00%	45	75	60.00%	51	98	52.04%	28	53	52.83%	91	59	90	33	61	30
	Vs Division	1	1	0	1	2	-1	0	0.000	1	1	2	1	3	1	32	51	47	31	36	12	19	17	4	0.00%	3	0	100.00%	45	75	60.00%	51	98	52.04%	28	53	52.83%	91	59	90	33	61	30
	Vs Conference	3	2	1	3	8	-5	1	0.167	3	4	7	1	3	1	95	51	47	31	101	47	87	65	7	0.00%	7	2	71.43%	45	75	60.00%	51	98	52.04%	28	53	52.83%	91	59	90	33	61	30
	Since Last GM Reset	4	3	1	5	12	-7	1	0.125	5	8	13	1	3	1	129	51	47	31	136	60	131	90	8	0.00%	9	4	55.56%	45	75	60.00%	51	98	52.04%	28	53	52.83%	91	59	90	33	61	30
	Total	4	3	1	5	12	-7	1	0.125	5	8	13	1	3	1	129	51	47	31	136	60	131	90	8	0.00%	9	4	55.56%	45	75	60.00%	51	98	52.04%	28	53	52.83%	91	59	90	33	61	30

			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	1	L3	5	8	13	129	136	60	131	90	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	3	0	1	0	0	5	12

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	8

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	0	1	0	0	2	4

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
8	0	0.00%	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
51	47	31	0	1	3	1	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
45	75	60.00%	51	98	52.04%	28	53	52.83%

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
91	59	90	33	61	30

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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Tue, Apr 22	@	Stars1,Barons2 (OT)	RECAP
Thu, Apr 24	@	Stars1,Comets2	RECAP
Fri, Apr 25	@	Griffins4,Stars1	RECAP
Mon, Apr 28	@	Rampage4,Stars2	RECAP

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
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,420,000$	1,040,000$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour
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