Profi League - Admirals.

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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	Scott Timmins	X				100.00	71	69	74	62	53	59	61	55	65	31	31	59	50	46	46	0	45	52	0
2	Brendan Shinnimin	X				100.00	57	66	59	72	51	63	62	57	67	33	35	55	50	45	45	0	45	52	0
3	Zac Larraza (R)		X			100.00	67	72	72	73	55	48	58	55	67	29	33	55	50	44	44	0	48	52	0
4	Patrick Kaleta			X		100.00	59	72	61	62	55	55	61	53	64	27	29	54	50	67	68	0	38	51	0
5	Sergey Tolchinsky (R)		X	X		100.00	58	58	69	63	49	56	61	58	65	34	35	57	50	44	44	0	48	51	0
6	Wade Megan	X				100.00	59	71	61	60	54	67	64	55	64	28	35	55	50	44	44	0	51	51	0
7	Alex Guptill		X			100.00	57	68	59	59	52	57	61	57	68	32	34	56	50	44	44	0	48	50	0
8	Justin Kea (R)	X	X			100.00	58	80	58	59	59	52	60	52	65	26	27	53	50	44	44	0	49	48	0
9	Jay Harrison				X	100.00	61	83	66	72	64	62	66	57	25	25	33	60	50	68	68	0	34	56	0
10	Stuart Percy (R)				X	97.77	56	69	62	72	57	66	68	67	25	36	30	56	50	55	55	0	39	55	0
11	Adam Comrie				X	100.00	62	84	69	63	64	58	63	67	25	26	37	68	56	49	44	0	54	55	0
12	Dillon Heatherington (R)				X	100.00	57	74	64	67	59	61	65	59	25	32	33	57	50	55	55	0	43	54	0
13	Sena Acolatse				X	100.00	55	76	56	60	60	64	68	56	25	24	32	52	50	44	44	0	57	50	0
Rayé
1	Craig Cunningham	X	X	X		100.00	69	65	70	71	51	71	69	65	75	36	41	59	58	51	51	0	46	57	0
2	Jakub Vrana (R)		X	X		90.32	58	67	60	69	51	50	60	62	74	39	43	59	60	44	44	0	39	54	0
3	Nick Baptiste (R)	X		X		81.67	80	71	77	61	54	54	60	58	69	32	36	55	50	44	44	0	37	53	0
4	Valentin Zykov (R)		X	X		93.93	78	74	76	70	56	51	60	55	66	32	34	55	50	44	44	0	38	53	0
5	Kyle Baun			X		93.62	66	76	72	72	58	50	60	55	68	31	28	55	50	44	44	0	54	52	0
6	Colin Jacobs	X				100.00	46	35	82	66	73	45	40	48	32	28	28	50	49	43	43	0	46	47	0
7	Steven Delisle				X	100.00	61	88	66	59	65	67	69	57	25	29	29	62	50	48	48	0	46	53	0
8	Guillaume Gelinas (R)				X	86.98	58	66	67	61	56	60	65	55	25	25	31	57	50	46	46	0	39	50	0
9	Joey Leach (R)				X	100.00	63	72	63	55	57	53	53	52	50	27	27	59	52	43	53	0	46	49	0
10	Brennan Serville (R)				X	100.00	56	70	62	65	58	55	58	52	25	23	26	53	50	44	44	0	46	48	0

	MOYENNE D'ÉQUIPE					97.39	61	71	66	65	57	58	61	57	50	30	32	57	51	48	48	0	45	52

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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	Malcolm Subban (R)	100.00	67	73	64	74	67	72	66	64	65	67	47	61	60	0	51	65	0
2	Matthew O'Connor (R)	100.00	61	72	68	64	68	67	65	62	61	62	50	60	59	0	51	62	0
3	Drew MacIntyre	100.00	62	72	67	63	67	69	65	63	61	63	49	55	55	0	51	62	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	63	72	66	67	67	69	65	63	62	64	49	59	58	0	51	63

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Stevens	34	44	37	42	37	37	35	CAN	50	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	PSS
1	Brendan Shinnimin	Admirals. (ANA)		C	4	2	3	5	-11	2	0	1	8	5	11	25.00%	4	18.:.03	0	0	0	0	0	0	0	0	0	47.37%	57	15	6	0	0	1.38	0
2	Dillon Heatherington	Admirals. (ANA)		D	4	1	3	4	-14	27	15	6	6	3	1	16.67%	6	16.:.31	1	0	1	0	0	0	3	0	0	0.00%	0	1	6	0	0	1.21	0
3	Zac Larraza	Admirals. (ANA)		LW	4	3	1	4	-6	0	0	5	12	6	10	25.00%	2	13.:.27	0	0	0	0	0	0	0	0	0	100.00%	2	14	2	0	0	1.49	0
4	Adam Comrie	Admirals. (ANA)		D	4	2	1	3	-11	40	30	5	10	6	7	20.00%	7	14.:.04	0	1	1	0	0	0	4	0	0	0.00%	0	2	2	0	0	1.07	0
5	Alex Guptill	Admirals. (ANA)		LW	4	0	2	2	-5	0	0	1	4	1	4	0.00%	3	06.:.30	0	0	0	0	0	0	0	0	0	100.00%	1	2	2	0	0	1.54	0
6	Nick Baptiste	Admirals. (ANA)		C/RW	4	1	1	2	-17	0	0	9	19	6	12	5.26%	4	19.:.07	0	0	0	0	1	1	7	0	0	61.64%	73	10	4	0	0	0.52	0
7	Valentin Zykov	Admirals. (ANA)		LW/RW	4	0	2	2	-14	29	15	6	19	6	17	0.00%	5	16.:.50	0	0	0	0	0	0	3	0	0	60.00%	5	25	3	0	0	0.59	0
8	Stuart Percy	Admirals. (ANA)		D	4	1	0	1	-16	5	5	2	24	9	14	4.17%	15	24.:.43	0	0	0	1	0	1	9	0	0	0.00%	0	10	4	0	0	0.20	0
9	Scott Timmins	Admirals. (ANA)		C	4	0	1	1	-15	4	0	15	9	3	10	0.00%	5	18.:.58	0	1	1	0	0	0	0	0	0	53.13%	64	10	4	0	0	0.26	0
10	Sergey Tolchinsky	Admirals. (ANA)		LW/RW	4	1	0	1	-14	0	0	4	14	9	19	7.14%	3	19.:.41	0	0	0	0	0	0	0	0	0	25.00%	4	21	2	0	0	0.25	0
11	Patrick Kaleta	Admirals. (ANA)		RW	2	0	0	0	-4	37	15	2	0	0	0	0.00%	0	07.:.37	0	0	0	0	0	0	1	0	0	66.67%	3	2	0	0	0	0.00	0
12	Jakub Vrana	Admirals. (ANA)		LW/RW	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.55	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
13	Guillaume Gelinas	Admirals. (ANA)		D	1	0	0	0	1	2	0	0	1	0	0	0.00%	2	16.:.10	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0
14	Kyle Baun	Admirals. (ANA)		RW	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	01.:.32	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
15	Justin Kea	Admirals. (ANA)		C/LW	4	0	0	0	-2	25	25	3	10	0	4	0.00%	2	11.:.29	0	0	0	0	0	0	5	0	0	66.67%	18	3	3	0	0	0.00	0
16	Wade Megan	Admirals. (ANA)		C	4	0	0	0	-4	5	5	2	4	3	2	0.00%	2	06.:.12	0	0	0	0	0	0	0	0	0	52.00%	25	4	1	0	0	0.00	0
17	Jay Harrison	Admirals. (ANA)		D	4	0	0	0	-12	84	40	2	6	3	4	0.00%	5	13.:.16	0	0	0	0	0	0	5	0	0	0.00%	0	5	7	0	0	0.00	0
18	Sena Acolatse	Admirals. (ANA)		D	4	0	0	0	-7	37	25	2	7	1	3	0.00%	0	13.:.46	0	0	0	0	0	0	4	0	0	0.00%	0	1	2	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		61	11	14	25	-151	297	175	65	94	153	61	118	7.19%	65	884	14.50	1	2	3	10	34	1	1	2	3	47	0	0	55.56%	252	125	49	0	0.57	0	0	8	8	19	0	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 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
Stats d'équipe Total ou en Moyenne					0.000	0.00	0								0.000

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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	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 Comrie	D	26	31.07.1990	No	227 Lbs	6 ft4	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Alex Guptill	LW	24	05.03.1992	No	175 Lbs	6 ft3	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
Brendan Shinnimin	C	25	07.01.1991 14:51:05	No	185 Lbs	5 ft10	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Brennan Serville	D	23	02.06.1993	Yes	183 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
Colin Jacobs	C	23	20.01.1993 9:48:25	No	198 Lbs	6 ft1	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Craig Cunningham	C/LW/RW	25	13.11.1990 0:21:29	No	184 Lbs	5 ft10	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Dillon Heatherington	D	21	08.05.1995	Yes	196 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
Drew MacIntyre	G	33	24.07.1983	No	190 Lbs	6 ft1	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Guillaume Gelinas (Sur la Masse Salariale)	D	23	14.06.1993	Yes	185 Lbs	5 ft10	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
Jakub Vrana	LW/RW	20	28.02.1996	Yes	185 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
Jay Harrison	D	33	03.11.1982	No	220 Lbs	6 ft4	No	No	2	Pro & Farm	1,400,000$	0$	1,400,000$									Lien
Joey Leach	D	24	29.01.1992 5:10:24	Yes	187 Lbs	6 ft3	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Justin Kea	C/LW	22	07.02.1994	Yes	210 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
Kyle Baun	RW	24	04.05.1992	No	209 Lbs	6 ft2	No	No	2	Pro & Farm	1,600,000$	0$	1,600,000$									Lien
Malcolm Subban	G	22	21.12.1993 1:41:18	Yes	200 Lbs	6 ft2	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Matthew O'Connor	G	24	14.02.1992 23:59:32	Yes	205 Lbs	6 ft5	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Nick Baptiste (Sur la Masse Salariale)	C/RW	21	04.08.1995	Yes	196 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
Patrick Kaleta	RW	30	08.06.1986	No	198 Lbs	6 ft1	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Scott Timmins	C	27	11.09.1989	No	191 Lbs	5 ft11	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Sena Acolatse	D	25	28.11.1990	No	210 Lbs	6 ft0	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Sergey Tolchinsky	LW/RW	21	03.02.1995	Yes	165 Lbs	5 ft8	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
Steven Delisle	D	26	30.07.1990 1:00:41	No	234 Lbs	6 ft6	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Stuart Percy	D	23	18.05.1993 14:41:13	Yes	187 Lbs	6 ft1	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Valentin Zykov	LW/RW	21	14.05.1995	Yes	209 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
Wade Megan	C	26	22.07.1990 1:44:49	No	192 Lbs	6 ft1	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Zac Larraza	LW	23	25.02.1993	Yes	194 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

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	24.42	197 Lbs	6 ft1	6.1538461538462	423,077$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1				40	1	2	2
2	Scott Timmins	Sergey Tolchinsky		30	1	2	2
3	Brendan Shinnimin	Zac Larraza	Patrick Kaleta	20	1	2	2
4	Wade Megan	Alex Guptill		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jay Harrison	Stuart Percy	40	1	2	2
2	Adam Comrie	Dillon Heatherington	30	1	2	2
3		Sena Acolatse	20	1	2	2
4	Jay Harrison	Stuart Percy	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1				60	1	2	2
2	Scott Timmins	Sergey Tolchinsky		40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jay Harrison	Stuart Percy	60	1	2	2
2	Adam Comrie	Dillon Heatherington	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2		Scott Timmins	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jay Harrison	Stuart Percy	60	1	2	2
2	Adam Comrie	Dillon Heatherington	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1		60	1	2	2	Jay Harrison	Stuart Percy	60	1	2	2
2		40	1	2	2	Adam Comrie	Dillon Heatherington	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1			60	1	2	2
2		Scott Timmins	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jay Harrison	Stuart Percy	60	1	2	2
2	Adam Comrie	Dillon Heatherington	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
			Jay Harrison	Stuart Percy

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
			Jay Harrison	Stuart Percy

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Justin Kea, Brendan Shinnimin, Patrick Kaleta	Justin Kea, Brendan Shinnimin	Patrick Kaleta

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
, Sena Acolatse, Adam Comrie		Sena Acolatse, Adam Comrie

Tirs de Pénalité
, , , Scott Timmins, Brendan Shinnimin

Gardien
#1 : , #2 :

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	GF	GA	Diff	G	A	TP	GP1	GP2	SHF	SH1	SP2	SP3	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	Sound Tigers	1	1	2	20	-18	2	3	5	9	2	40	62	52	39	37	10	124	9	2	1	50.00%	2	1	50.00%	0	45	83	54.22%	35	67	52.24%	63	115	54.78%	93	64	83	29	62	29
2	Phantoms	1	1	1	7	-6	1	1	2	9	2	27	62	52	39	21	19	90	21	1	0	0.00%	5	3	40.00%	0	45	83	54.22%	35	67	52.24%	63	115	54.78%	93	64	83	29	62	29
3	IceCaps	1	1	7	15	-8	7	9	16	9	2	35	62	52	39	36	20	72	21	2	0	0.00%	1	1	0.00%	1	45	83	54.22%	35	67	52.24%	63	115	54.78%	93	64	83	29	62	29
4	Wild	1	1	1	16	-15	1	1	2	9	2	51	62	52	39	29	16	11	15	0	0	0.00%	3	1	66.67%	0	45	83	54.22%	35	67	52.24%	63	115	54.78%	93	64	83	29	62	29
	Vs Conference	2	2	8	31	-23	8	10	18	9	2	86	62	52	39	65	36	83	36	2	0	0.00%	4	2	50.00%	1	45	83	54.22%	35	67	52.24%	63	115	54.78%	93	64	83	29	62	29
	Since Last GM Reset	4	4	11	58	-47	11	14	25	9	2	153	62	52	39	123	65	297	66	5	1	20.00%	11	6	45.45%	1	45	83	54.22%	35	67	52.24%	63	115	54.78%	93	64	83	29	62	29
	Total	4	4	11	58	-47	11	14	25	9	2	153	62	52	39	123	65	297	66	5	1	20.00%	11	6	45.45%	1	45	83	54.22%	35	67	52.24%	63	115	54.78%	93	64	83	29	62	29

			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	L4	11	14	25	153	123	65	297	66	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	11	58

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	8	22

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	36

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	4	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
5	1	20.00%	11	6	45.45%	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
62	52	39	0	9	2	0	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	83	54.22%	35	67	52.24%	63	115	54.78%

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
93	64	83	29	62	29

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	@	Phantoms7,Admirals.1	RECAP
Wed, Apr 23	@	IceCaps15,Admirals.7	RECAP
Sun, Apr 27	@	Admirals.1,Wild16	RECAP
Mon, Apr 28	@	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
1,080,000$	560,000$	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