Profi League - Sound Tigers

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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	Joseph Blandisi (R)	X		X		98.00	64	43	65	68	51	63	67	74	62	45	42	59	50	47	47	0	46	57	0
2	Cristoval Nieves (R)	X	X			100.00	63	46	66	78	68	62	67	67	62	35	34	57	58	50	51	0	49	57	0
3	Zach Boychuk		X	X		100.00	65	66	71	75	51	69	66	58	67	32	34	61	50	59	59	0	46	56	0
4	James Wright (R)	X	X			100.00	65	77	63	72	59	57	61	58	78	37	35	57	50	60	60	0	46	56	0
5	Mark Jankowski (R)	X	X			100.00	67	44	66	80	55	56	69	67	61	37	35	59	50	50	51	0	49	56	0
6	Martin Frk			X		100.00	59	71	62	74	54	63	62	60	69	32	42	59	59	44	44	0	49	55	0
7	Justin Dowling	X				100.00	71	68	74	65	53	66	63	60	77	43	36	58	50	44	44	0	47	55	0
8	T.J. Hensick	X				100.00	57	55	69	63	48	69	65	59	65	40	33	56	50	57	58	0	49	54	0
9	Christian Thomas (R)			X		100.00	60	62	69	67	49	63	62	59	67	42	39	57	51	45	45	0	49	54	0
10	Eriah Hayes		X	X		100.00	71	80	64	66	59	63	62	55	66	29	33	59	50	45	45	0	43	53	0
11	Axel Blomqvist (R)		X	X		100.00	79	83	77	64	59	49	58	52	65	26	28	55	50	44	44	0	53	51	0
12	Aaron Ness				X	100.00	63	66	89	73	66	85	85	52	25	42	37	69	50	47	47	0	50	61	0
13	Andrew Bodnarchuk				X	100.00	71	43	67	65	56	63	68	68	25	40	37	70	50	47	47	0	46	57	0
14	Daniel Renouf				X	100.00	66	45	82	68	74	63	65	57	35	32	31	66	50	50	50	0	51	56	0
15	Andrew Nielsen (R)				X	100.00	56	70	62	70	58	68	69	63	25	34	30	56	50	55	55	0	48	55	0
16	Jake Chelios		X		X	100.00	56	70	63	59	58	66	69	67	25	35	32	57	50	46	46	0	49	53	0
17	Luke Witkowski				X	100.00	55	75	57	72	60	68	70	56	25	28	28	52	50	49	45	0	51	52	0
18	Steve Oleksy				X	100.00	54	70	55	58	57	68	70	60	25	33	27	51	50	51	52	0	53	52	0
Rayé
1	Marc-Olivier Roy (R)	X				100.00	61	65	70	63	51	50	60	56	65	32	33	59	50	44	44	0	46	51	0
2	Matt Carey (R)	X		X		100.00	59	71	61	67	54	59	61	54	64	28	32	54	50	44	44	0	46	50	0
3	David Broll (R)		X			100.00	57	79	57	60	59	62	61	53	65	27	29	52	50	44	44	0	46	49	0
4	Kevin Czuczman				X	100.00	58	76	66	67	60	67	69	56	25	27	30	57	50	49	45	0	40	53	0
5	Brett Lernout (R)				X	100.00	58	78	66	66	62	61	66	55	25	26	27	57	50	46	46	0	46	51	0
6	Matt MacKenzie				X	100.00	60	71	68	61	59	55	58	54	25	24	31	59	50	46	46	0	46	50	0

	MOYENNE D'ÉQUIPE					99.92	62	66	67	68	58	63	66	59	50	34	33	58	51	48	48	0	48	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	Jack Campbell	100.00	57	69	69	65	67	67	62	60	61	61	51	55	55	0	49	61	0
Rayé
1	Jordan Binnington (R)	95.00	66	72	63	71	68	73	66	70	65	64	49	55	55	0	48	64	0

	MOYENNE D'ÉQUIPE	97.50	62	71	66	68	68	70	64	65	63	63	50	55	55	0	49	63

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Davis Payne	39	45	40	41	36	37	40	CAN	45	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	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Joseph Blandisi	Sound Tigers (NYI)		C/RW	4	4	7	11	7	0	0	6	15	1	7	26.67%	3	24.:.44	1	1	2	0	0	0	16	0	0	42.22%	90	10	4	0	1	2.22	1	1
2	Cristoval Nieves	Sound Tigers (NYI)		C/LW	4	4	4	8	6	2	0	7	11	6	9	36.36%	0	19.:.47	1	1	2	0	0	0	9	0	1	42.86%	14	10	2	0	1	2.02	0	1
3	Martin Frk	Sound Tigers (NYI)		RW	4	5	2	7	3	10	10	9	17	5	6	29.41%	3	16.:.58	0	1	1	0	0	0	0	0	0	100.00%	2	7	1	0	1	2.06	0	0
4	Mark Jankowski	Sound Tigers (NYI)		C/LW	4	3	4	7	5	0	0	11	17	4	10	17.65%	2	19.:.55	1	0	1	1	0	1	7	0	0	52.38%	42	12	0	0	0	1.76	0	1
5	Andrew Bodnarchuk	Sound Tigers (NYI)		D	4	3	2	5	7	4	0	13	7	3	6	42.86%	7	24.:.52	0	0	0	0	0	0	11	0	0	0.00%	0	2	12	0	1	1.00	0	0
6	Christian Thomas	Sound Tigers (NYI)		RW	4	1	3	4	8	2	0	6	6	0	9	16.67%	1	17.:.46	0	0	0	0	0	0	2	0	0	80.00%	5	7	2	0	0	1.13	0	0
7	Aaron Ness	Sound Tigers (NYI)		D	4	0	3	3	6	5	5	2	6	3	1	0.00%	10	27.:.06	0	0	0	0	0	0	14	0	0	0.00%	0	8	10	0	0	0.55	0	0
8	Zach Boychuk	Sound Tigers (NYI)		LW/RW	4	1	2	3	6	2	0	8	8	1	2	12.50%	6	19.:.39	0	0	0	0	0	0	2	0	0	60.00%	5	0	2	0	0	0.76	0	0
9	Justin Dowling	Sound Tigers (NYI)		C	4	2	1	3	4	9	5	8	7	2	3	28.57%	2	13.:.18	0	0	0	0	1	1	1	0	0	48.57%	35	7	2	0	0	1.13	0	0
10	T.J. Hensick	Sound Tigers (NYI)		C	4	0	2	2	2	0	0	4	11	5	5	0.00%	1	13.:.04	0	0	0	0	0	0	1	0	0	57.89%	19	3	2	0	0	0.76	0	0
11	Kevin Czuczman	Sound Tigers (NYI)		D	4	0	1	1	4	25	15	3	6	1	1	0.00%	4	11.:.26	0	0	0	0	0	0	2	0	0	0.00%	0	1	4	0	0	0.44	0	0
12	Luke Witkowski	Sound Tigers (NYI)		D	4	1	0	1	4	12	10	0	3	3	2	33.33%	3	12.:.34	0	0	0	0	0	0	1	1	0	0.00%	0	0	4	0	0	0.40	0	0
13	James Wright	Sound Tigers (NYI)		C/LW	4	0	1	1	0	47	35	8	6	2	3	0.00%	0	11.:.22	0	0	0	0	0	0	0	0	0	0.00%	1	1	0	0	0	0.44	0	0
14	Andrew Nielsen	Sound Tigers (NYI)		D	4	0	1	1	3	15	15	3	3	5	4	0.00%	3	19.:.23	0	0	0	0	0	0	5	0	0	0.00%	0	0	5	0	0	0.26	0	0
15	Daniel Renouf	Sound Tigers (NYI)		D	1	0	0	0	2	0	0	2	1	0	0	0.00%	0	08.:.15	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0	0
16	Eriah Hayes	Sound Tigers (NYI)		LW/RW	4	0	0	0	2	96	40	6	1	1	3	0.00%	1	08.:.41	0	0	0	0	0	0	1	0	0	66.67%	3	1	2	0	0	0.00	0	0
17	Matt Carey	Sound Tigers (NYI)		C/RW	1	0	0	0	0	0	0	0	0	1	1	0.00%	0	09.:.24	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0	0	0.00	0	0
18	Axel Blomqvist	Sound Tigers (NYI)		LW/RW	4	0	0	0	1	10	10	6	0	2	2	0.00%	0	08.:.16	0	0	0	0	0	0	0	0	0	50.00%	2	0	1	0	0	0.00	0	0
19	Jake Chelios	Sound Tigers (NYI)		LW/D	4	0	0	0	3	0	0	1	3	3	0	0.00%	4	19.:.59	0	0	0	0	0	0	7	0	0	0.00%	0	1	2	0	0	0.00	0	0
20	Marc-Olivier Roy	Sound Tigers (NYI)		C	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	01.:.34	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
21	Steve Oleksy	Sound Tigers (NYI)		D	3	0	0	0	1	15	15	1	1	0	0	0.00%	0	05.:.47	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		74	24	33	57	74	254	160	104	87	129	48	74	18.60%	50	1192	16.11	3	3	6	15	51	1	1	2	2	86	1	1	48.62%	218	71	56	0	4	0.96	1	3	8	8	16	1	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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Jordan Binnington	Sound Tigers (NYI)	4	1	2	1	93.9%	1.98	243	0	0	8	132	91	0	0	0.0%	2	4	0	1	0	0
Stats d'équipe Total ou en Moyenne	4	1	2	1	0.939	1.98	243	0	0	8	132	91	0	0	0.000	2	4	0	1	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
Aaron Ness	D	26	18.05.1990	No	187 Lbs	5 ft10	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Andrew Bodnarchuk	D	28	11.07.1988	No	189 Lbs	5 ft10	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Andrew Nielsen	D	19	13.11.1996 0:53:03	Yes	207 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$
Axel Blomqvist	LW/RW	21	29.01.1995	Yes	212 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
Brett Lernout	D	21	24.09.1995	Yes	206 Lbs	6 ft4	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Christian Thomas	RW	24	26.05.1992 6:52:15	Yes	176 Lbs	5 ft9	No	No	1	Pro & Farm	900,000$	0$										Lien
Cristoval Nieves	C/LW	22	23.01.1994 0:53:48	Yes	201 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$
Daniel Renouf	D	22	12.06.1994 0:14:08	No	205 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$
David Broll	LW	23	04.01.1993 9:49:00	Yes	216 Lbs	6 ft2	No	No	1	Pro & Farm	800,000$	0$										Lien
Eriah Hayes	LW/RW	28	01.07.1988	No	210 Lbs	6 ft4	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Jack Campbell	G	24	09.01.1992 6:51:24	No	195 Lbs	6 ft3	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Jake Chelios	LW/D	25	08.03.1991	No	188 Lbs	6 ft2	No	No	1	Pro & Farm	1,100,000$	0$										Lien
James Wright	C/LW	26	24.03.1990	Yes	200 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
Jordan Binnington	G	23	11.07.1993	Yes	167 Lbs	6 ft1	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Joseph Blandisi	C/RW	22	18.07.1994 15:40:14	Yes	182 Lbs	5 ft11	No	No	3	Pro & Farm	1,400,000$	0$	1,400,000$	1,400,000$								Lien
Justin Dowling	C	26	30.09.1990	No	190 Lbs	5 ft10	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Kevin Czuczman	D	25	01.07.1991	No	209 Lbs	6 ft2	Yes	No	2	Pro & Farm	900,000$	0$	900,000$									Lien
Luke Witkowski	D	26	14.04.1990	No	200 Lbs	6 ft2	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Marc-Olivier Roy	C	21	04.11.1994	Yes	175 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
Mark Jankowski	C/LW	22	13.09.1994 0:54:31	Yes	185 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$
Martin Frk	RW	23	05.10.1993	No	194 Lbs	6 ft1	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Matt Carey	C/RW	24	01.07.1992	Yes	195 Lbs	6 ft0	No	No	3	Pro & Farm	900,000$	0$	900,000$	900,000$								Lien
Matt MacKenzie	D	25	15.10.1991 7:00:22	No	190 Lbs	6 ft1	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Steve Oleksy	D	30	04.02.1986 5:10:00	No	190 Lbs	6 ft0	No	No	1	Pro & Farm	900,000$	0$										Lien
T.J. Hensick	C	30	10.12.1985	No	190 Lbs	5 ft0	No	No	1	Pro & Farm	800,000$	0$										Lien
Zach Boychuk	LW/RW	27	04.10.1989	No	185 Lbs	5 ft10	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	24.35	194 Lbs	6 ft1	4.9230769230769	592,308$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Joseph Blandisi	Cristoval Nieves	Zach Boychuk	40	1	2	2
2	Mark Jankowski	James Wright	Martin Frk	30	1	2	2
3	Justin Dowling	Eriah Hayes	Christian Thomas	20	1	2	2
4	T.J. Hensick	Axel Blomqvist	Joseph Blandisi	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Aaron Ness	Andrew Bodnarchuk	40	1	2	2
2	Andrew Nielsen	Jake Chelios	30	1	2	2
3		Luke Witkowski	20	1	2	2
4	Steve Oleksy	Aaron Ness	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Joseph Blandisi	Cristoval Nieves	Zach Boychuk	60	1	2	2
2	Mark Jankowski	James Wright	Martin Frk	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Aaron Ness	Andrew Bodnarchuk	60	1	2	2
2	Andrew Nielsen	Jake Chelios	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Joseph Blandisi	Cristoval Nieves	60	1	2	2
2	Mark Jankowski	Justin Dowling	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Aaron Ness	Andrew Bodnarchuk	60	1	2	2
2	Andrew Nielsen	Jake Chelios	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Joseph Blandisi	60	1	2	2	Aaron Ness	Andrew Bodnarchuk	60	1	2	2
2	Cristoval Nieves	40	1	2	2	Andrew Nielsen	Jake Chelios	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Joseph Blandisi	Cristoval Nieves	60	1	2	2
2	Mark Jankowski	Justin Dowling	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Aaron Ness	Andrew Bodnarchuk	60	1	2	2
2	Andrew Nielsen	Jake Chelios	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Joseph Blandisi	Cristoval Nieves	Zach Boychuk	Aaron Ness	Andrew Bodnarchuk

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Joseph Blandisi	Cristoval Nieves	Zach Boychuk	Aaron Ness	Andrew Bodnarchuk

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Christian Thomas, Eriah Hayes, T.J. Hensick	Christian Thomas, Eriah Hayes	T.J. Hensick

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Luke Witkowski, Steve Oleksy		Luke Witkowski, Steve Oleksy

Tirs de Pénalité
Joseph Blandisi, Cristoval Nieves, Mark Jankowski, Justin Dowling, Zach Boychuk

Gardien
#1 : , #2 : Jack Campbell

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	W	L	SOL	GF	GA	Diff	P	PCT	G	A	TP	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	Phantoms	1	0	0	1	1	2	-1	1	0.500	1	1	2	14	8	2	1	32	48	38	41	5	33	8	46	35	2	1	50.00%	3	1	66.67%	0	38	79	48.10%	34	71	47.89%	34	68	50.00%	90	56	90	32	63	32
2	Checkers	1	0	1	0	1	2	-1	0	0.000	1	1	2	14	8	2	1	24	48	38	41	5	34	18	25	16	0	0	0.00%	5	0	100.00%	0	38	79	48.10%	34	71	47.89%	34	68	50.00%	90	56	90	32	63	32
3	Falcons	1	0	1	0	2	3	-1	0	0.000	2	3	5	14	8	2	1	36	48	38	41	5	25	14	59	25	4	1	25.00%	2	0	100.00%	0	38	79	48.10%	34	71	47.89%	34	68	50.00%	90	56	90	32	63	32
4	Admirals.	1	1	0	0	20	2	18	2	1.000	20	28	48	14	8	2	1	37	48	38	41	5	40	10	124	28	2	1	50.00%	2	1	50.00%	1	38	79	48.10%	34	71	47.89%	34	68	50.00%	90	56	90	32	63	32
	Vs Conference	2	0	1	1	2	4	-2	1	0.250	2	2	4	14	8	2	1	56	48	38	41	5	67	26	71	51	2	1	50.00%	8	1	87.50%	0	38	79	48.10%	34	71	47.89%	34	68	50.00%	90	56	90	32	63	32
	Since Last GM Reset	4	1	2	1	24	9	15	3	0.375	24	33	57	14	8	2	1	129	48	38	41	5	132	50	254	104	8	3	37.50%	12	2	83.33%	1	38	79	48.10%	34	71	47.89%	34	68	50.00%	90	56	90	32	63	32
	Total	4	1	2	1	24	9	15	3	0.375	24	33	57	14	8	2	1	129	48	38	41	5	132	50	254	104	8	3	37.50%	12	2	83.33%	1	38	79	48.10%	34	71	47.89%	34	68	50.00%	90	56	90	32	63	32

			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	3	W1	24	33	57	129	132	50	254	104	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	0	0	0	1	24	9

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	22	5

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

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	2	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
8	3	37.50%	12	2	83.33%	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
48	38	41	5	14	8	2	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
38	79	48.10%	34	71	47.89%	34	68	50.00%

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
90	56	90	32	63	32

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!
Sun, Nov 24	@	Sound Tigers1,Checkers2	RECAP
Mon, Nov 25	@	Sound Tigers1,Phantoms2 (SO)	RECAP
Thu, Nov 28	@	Falcons3,Sound Tigers2	RECAP
Fri, Nov 29	@	Admirals.2,Sound Tigers20	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
1,450,000$	550,000$	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