Profi League - IceCaps

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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	Oscar Lindberg	X	X			99.00	74	55	80	78	69	75	82	71	65	45	47	62	50	52	52	0	46	64	0
2	Andreas Martinsen (R)	X	X	X		100.00	82	81	65	78	59	55	67	64	58	38	40	60	50	49	49	0	37	58	0
3	Gemel Smith (R)	X	X			100.00	81	71	77	66	54	68	65	57	67	32	35	55	50	44	44	0	49	55	0
4	Ruslan Fedotenko		X	X		100.00	59	74	61	62	56	49	59	55	69	32	27	57	50	82	82	0	51	53	0
5	Brian O'Neill			X		100.00	69	43	67	60	49	53	65	63	58	39	38	60	50	46	48	0	49	53	0
6	Yanni Gourde		X			100.00	53	56	59	63	48	69	65	59	65	39	36	52	50	44	44	0	49	52	0
7	Jordan Samuels-Thomas		X			100.00	59	74	61	59	56	66	64	56	67	31	35	57	50	44	44	0	49	52	0
8	Emil Molin (R)	X	X	X		100.00	61	65	70	64	50	47	57	54	66	33	27	58	50	44	44	0	49	50	0
9	Mark Pysyk				X	100.00	68	42	81	78	68	71	76	72	25	44	38	73	50	72	70	0	49	65	0
10	Joel Edmundson (R)				X	100.00	81	77	74	79	77	69	71	69	25	41	38	75	50	56	56	0	33	64	0
11	Stefan Elliott				X	100.00	65	42	88	80	68	67	77	73	25	42	41	70	50	52	52	0	49	63	0
12	Paul Postma				X	100.00	76	42	67	72	59	62	66	69	25	39	37	73	50	58	58	0	49	60	0
13	Mirco Mueller (R)				X	100.00	63	93	66	77	63	61	68	68	25	38	38	66	50	59	59	0	55	59	0
14	Dennis Robertson				X	100.00	58	78	66	61	62	66	68	56	25	26	28	57	50	46	46	0	44	52	0
15	Julius Bergman (R)				X	100.00	56	72	63	60	59	60	65	55	25	26	28	55	50	45	45	0	49	50	0
Rayé
1	Garnet Hathaway			X		100.00	81	93	56	62	59	59	65	62	58	42	38	61	50	45	45	0	40	56	0
2	Noel Acciari	X				39.20	78	46	66	66	55	52	61	60	78	39	38	65	50	45	45	0	40	56	0
3	Buddy Robinson			X		100.00	66	88	64	69	60	69	66	56	74	30	36	58	50	44	44	0	31	54	0
4	Erik Karlsson. (R)		X			100.00	58	60	70	66	61	59	58	58	54	32	37	55	58	60	60	0	46	54	0
5	Joe Whitney		X			100.00	54	58	59	62	49	65	62	62	68	41	41	55	58	44	44	0	46	53	0
6	Kyle Rau	X	X			100.00	59	61	69	66	49	56	61	59	64	33	39	60	50	44	44	0	46	52	0
7	Anton Blidh (R)		X	X		100.00	59	73	60	66	55	54	60	54	64	27	33	56	50	44	44	0	46	50	0

	MOYENNE D'ÉQUIPE					97.18	66	66	68	68	58	61	66	61	52	36	36	61	51	51	51	0	46	56

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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	86	82	77	67	77	68	69	70	79	50	56	56	0	51	70	0
2	Matt Hackett	100.00	59	71	64	62	66	68	63	67	62	63	50	62	64	0	51	63	0
3	Adam Wilcox (R)	100.00	59	70	69	65	68	68	64	62	61	62	50	55	55	0	51	62	0
Rayé
1	Eddie Pasquale (R)	100.00	71	73	80	75	71	75	70	73	71	67	51	55	55	0	46	68	0

	MOYENNE D'ÉQUIPE	100.00	66	75	74	70	68	72	66	68	66	68	50	57	58	0	50	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Torchetti	76	64	57	71	60	60	66	USA	52	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

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#	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	Oscar Lindberg	IceCaps (WPG)		C/LW	4	6	2	8	-16	0	0	12	23	9	16	26.09%	5	24.:.48	1	0	1	0	0	0	5	0	0	47.52%	141	25	3	0	1	1.61	0	0
2	Stefan Elliott	IceCaps (WPG)		D	4	6	2	8	-9	0	0	2	21	17	21	28.57%	7	18.:.58	0	0	0	1	0	1	3	1	0	0.00%	0	7	12	0	1	2.11	0	0
3	Mirco Mueller	IceCaps (WPG)		D	4	2	5	7	-3	50	40	1	8	2	6	25.00%	3	14.:.14	0	0	0	0	1	1	3	0	0	0.00%	0	2	3	0	0	2.46	0	0
4	Mark Pysyk	IceCaps (WPG)		D	4	5	2	7	-8	0	0	7	31	13	14	16.13%	11	23.:.28	1	1	2	0	0	0	7	0	0	0.00%	0	8	12	0	1	1.49	0	0
5	Joel Edmundson	IceCaps (WPG)		D	3	1	3	4	-3	69	35	9	15	3	3	6.67%	9	20.:.37	0	0	0	0	0	0	5	0	0	0.00%	0	2	5	0	0	1.29	0	0
6	Noel Acciari	IceCaps (WPG)		C	3	1	3	4	-7	0	0	6	11	6	12	9.09%	2	18.:.02	0	1	1	0	0	0	1	0	0	44.00%	50	7	2	0	0	1.48	0	0
7	Brian O'Neill	IceCaps (WPG)		RW	4	1	3	4	-2	0	0	10	7	3	10	14.29%	1	16.:.52	0	0	0	0	0	0	0	0	0	0.00%	3	4	2	0	0	1.19	0	0
8	Paul Postma	IceCaps (WPG)		D	4	1	3	4	-19	2	0	2	14	8	5	7.14%	11	19.:.40	0	0	0	0	0	0	0	0	0	0.00%	0	9	6	0	0	1.02	0	0
9	Andreas Martinsen	IceCaps (WPG)		C/LW/RW	3	0	3	3	-11	42	30	6	6	3	6	0.00%	4	20.:.04	0	0	0	0	0	0	3	0	0	100.00%	3	4	0	0	0	1.00	0	0
10	Emil Molin	IceCaps (WPG)		C/LW/RW	4	0	2	2	1	0	0	3	2	0	2	0.00%	0	13.:.35	0	0	0	0	0	0	0	0	0	53.85%	39	0	1	0	0	0.74	0	0
11	Julius Bergman	IceCaps (WPG)		D	4	0	1	1	-4	0	0	2	0	0	0	0.00%	1	09.:.02	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.55	0	0
12	Gemel Smith	IceCaps (WPG)		C/LW	4	0	1	1	-10	0	0	13	7	4	2	0.00%	1	19.:.20	0	0	0	0	1	1	1	0	0	0.00%	4	1	2	0	0	0.26	0	0
13	Ruslan Fedotenko	IceCaps (WPG)		LW/RW	4	0	1	1	1	12	10	6	1	1	3	0.00%	0	14.:.56	0	0	0	0	0	0	1	0	0	40.00%	5	0	1	0	0	0.33	0	0
14	Buddy Robinson	IceCaps (WPG)		RW	4	0	0	0	-7	46	30	7	7	3	3	0.00%	0	16.:.57	0	0	0	0	0	0	0	0	0	100.00%	1	1	1	0	0	0.00	0	0
15	Garnet Hathaway	IceCaps (WPG)		RW	4	0	0	0	-8	92	50	9	1	0	4	0.00%	3	11.:.02	0	0	0	0	0	0	1	0	0	100.00%	2	4	2	0	0	0.00	0	0
16	Dennis Robertson	IceCaps (WPG)		D	4	0	0	0	-2	17	15	2	2	0	0	0.00%	1	11.:.18	0	0	0	0	0	0	0	0	0	0.00%	0	0	3	0	0	0.00	0	0
17	Yanni Gourde	IceCaps (WPG)		LW	4	0	0	0	-1	0	0	1	0	0	0	0.00%	0	03.:.49	0	0	0	0	0	0	0	0	0	0.00%	1	0	1	0	0	0.00	0	0
18	Jordan Samuels-Thomas	IceCaps (WPG)		LW	4	0	0	0	-11	2	0	2	1	0	2	0.00%	0	13.:.59	0	0	0	0	0	0	1	0	0	75.00%	4	0	3	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		69	23	31	54	-119	332	210	100	89	157	72	109	14.65%	59	1104	16.01	2	2	4	23	72	1	2	3	3	36	1	0	47.83%	253	74	60	0	3	0.98	0	0	8	13	21	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
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 Wilcox	G	22	25.04.1994	Yes	201 Lbs	6 ft1	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Lien
Andreas Martinsen	C/LW/RW	26	12.06.1990	Yes	220 Lbs	6 ft3	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Anton Blidh	LW/RW	21	14.03.1995	Yes	201 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
Brian O'Neill	RW	28	01.06.1988	No	170 Lbs	5 ft9	No	No	1	Pro & Farm	800,000$	0$										Lien
Buddy Robinson	RW	25	30.09.1991	No	235 Lbs	6 ft5	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Dennis Robertson	D	25	24.05.1991	No	215 Lbs	6 ft1	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
Eddie Pasquale	G	25	19.11.1990	Yes	215 Lbs	6 ft3	No	No	1	Pro & Farm	500,000$	0$										Lien
Emil Molin	C/LW/RW	23	03.02.1993	Yes	179 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
Erik Karlsson.	LW	22	28.07.1994	Yes	170 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
Garnet Hathaway	RW	24	22.11.1991	No	210 Lbs	6 ft2	No	No	1	Pro & Farm	1,300,000$	0$										Lien
Gemel Smith	C/LW	22	16.04.1994	Yes	200 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
Joe Whitney	LW	28	06.02.1988	No	170 Lbs	5 ft6	No	No	1	Pro & Farm	600,000$	0$										Lien
Joel Edmundson	D	23	28.06.1993	Yes	207 Lbs	6 ft4	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Lien
Jordan Samuels-Thomas	LW	26	28.05.1990	No	195 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
Julius Bergman	D	20	02.11.1995	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
Kyle Rau	C/LW	23	24.10.1992 23:21:47	No	179 Lbs	5 ft8	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Magnus Hellberg	G	25	04.04.1991 4:36:38	No	185 Lbs	6 ft5	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Mark Pysyk	D	24	11.01.1992 4:39:55	No	192 Lbs	6 ft1	No	No	2	Pro & Farm	1,500,000$	0$	1,500,000$									Lien
Matt Hackett	G	26	07.03.1990	No	171 Lbs	6 ft2	No	No	3	Pro & Farm	800,000$	0$	800,000$	800,000$								Lien
Mirco Mueller	D	21	23.03.1995 0:20:09	Yes	205 Lbs	6 ft3	No	No	2	Pro & Farm	1,300,000$	0$	1,300,000$									Lien
Noel Acciari (Sur la Masse Salariale)	C	24	31.03.1992	No	205 Lbs	5 ft11	No	No	1	Pro & Farm	1,500,000$	0$										Lien
Oscar Lindberg	C/LW	24	29.10.1991	No	195 Lbs	6 ft1	No	No	1	Pro & Farm	1,400,000$	0$										Lien
Paul Postma	D	27	22.02.1989	No	195 Lbs	6 ft3	No	No	2	Pro & Farm	1,100,000$	0$	1,100,000$									Lien
Ruslan Fedotenko	LW/RW	37	18.01.1979	No	200 Lbs	6 ft1	No	No	1	Pro & Farm	500,000$	0$										Lien
Stefan Elliott	D	25	30.01.1991 5:04:46	No	190 Lbs	6 ft1	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Yanni Gourde	LW	24	15.12.1991	No	157 Lbs	5 ft9	No	No	1	Pro & Farm	1,100,000$	0$										Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	24.62	195 Lbs	6 ft1	3.8461538461538	750,000$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Oscar Lindberg	Andreas Martinsen		40	1	2	2
2		Gemel Smith		30	1	2	2
3	Emil Molin	Ruslan Fedotenko	Brian O'Neill	20	1	2	2
4	Oscar Lindberg	Yanni Gourde	Andreas Martinsen	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joel Edmundson	Mark Pysyk	40	1	2	2
2	Stefan Elliott	Mirco Mueller	30	1	2	2
3	Paul Postma	Dennis Robertson	20	1	2	2
4	Julius Bergman	Joel Edmundson	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Oscar Lindberg	Andreas Martinsen		60	1	2	2
2		Gemel Smith		40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joel Edmundson	Mark Pysyk	60	1	2	2
2	Stefan Elliott	Mirco Mueller	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Oscar Lindberg	Andreas Martinsen	60	1	2	2
2			40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joel Edmundson	Mark Pysyk	60	1	2	2
2	Stefan Elliott	Mirco Mueller	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Oscar Lindberg	60	1	2	2	Joel Edmundson	Mark Pysyk	60	1	2	2
2	Andreas Martinsen	40	1	2	2	Stefan Elliott	Mirco Mueller	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Oscar Lindberg	Andreas Martinsen	60	1	2	2
2			40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joel Edmundson	Mark Pysyk	60	1	2	2
2	Stefan Elliott	Mirco Mueller	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Oscar Lindberg	Andreas Martinsen		Joel Edmundson	Mark Pysyk

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Oscar Lindberg	Andreas Martinsen		Joel Edmundson	Mark Pysyk

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Jordan Samuels-Thomas, Brian O'Neill, Ruslan Fedotenko	Jordan Samuels-Thomas, Brian O'Neill	Ruslan Fedotenko

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Paul Postma, Dennis Robertson, Julius Bergman	Paul Postma	Dennis Robertson, Julius Bergman

Tirs de Pénalité
Oscar Lindberg, Andreas Martinsen, , , Gemel Smith

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

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#	VS Équipe	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	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	Phantoms	1	0	1	4	10	-6	0	0.000	4	6	10	17	4	2	48	58	57	42	24	7	51	31	4	1	25.00%	3	2	33.33%	1	40	84	47.62%	26	63	41.27%	56	121	46.28%	93	59	80	30	66	34
2	Checkers	1	0	1	4	20	-16	0	0.000	4	6	10	17	4	2	39	58	57	42	38	10	116	27	2	0	0.00%	3	2	33.33%	0	40	84	47.62%	26	63	41.27%	56	121	46.28%	93	59	80	30	66	34
3	Falcons	1	0	1	0	16	-16	0	0.000	0	0	0	17	4	2	34	58	57	42	21	21	91	27	3	0	0.00%	3	3	0.00%	0	40	84	47.62%	26	63	41.27%	56	121	46.28%	93	59	80	30	66	34
4	Admirals.	1	1	0	15	7	8	2	1.000	15	19	34	17	4	2	36	58	57	42	35	21	74	16	1	1	100.00%	2	0	100.00%	0	40	84	47.62%	26	63	41.27%	56	121	46.28%	93	59	80	30	66	34
	Vs Division	1	0	1	0	16	-16	0	0.000	0	0	0	17	4	2	34	58	57	42	21	21	91	27	3	0	0.00%	3	3	0.00%	0	40	84	47.62%	26	63	41.27%	56	121	46.28%	93	59	80	30	66	34
	Vs Conference	2	1	1	15	23	-8	2	0.500	15	19	34	17	4	2	70	58	57	42	56	42	165	43	4	1	25.00%	5	3	40.00%	0	40	84	47.62%	26	63	41.27%	56	121	46.28%	93	59	80	30	66	34
	Since Last GM Reset	4	1	3	23	53	-30	2	0.250	23	31	54	17	4	2	157	58	57	42	118	59	332	101	10	2	20.00%	11	7	36.36%	1	40	84	47.62%	26	63	41.27%	56	121	46.28%	93	59	80	30	66	34
	Total	4	1	3	23	53	-30	2	0.250	23	31	54	17	4	2	157	58	57	42	118	59	332	101	10	2	20.00%	11	7	36.36%	1	40	84	47.62%	26	63	41.27%	56	121	46.28%	93	59	80	30	66	34

			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	2	L3	23	31	54	157	118	59	332	101	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	23	53

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	8	30

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	15	23

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	3	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
10	2	20.00%	11	7	36.36%	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
58	57	42	0	17	4	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
40	84	47.62%	26	63	41.27%	56	121	46.28%

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	59	80	30	66	34

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

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Date	Matchup		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Fri, Jul 3	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-PreSeason/ScheduleSub.php on line 29	@	IceCaps15,Admirals.7	RECAP
Sat, Jul 4	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-PreSeason/ScheduleSub.php on line 29	@	IceCaps0,Falcons16	RECAP
Tue, Jul 7	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-PreSeason/ScheduleSub.php on line 29	@	Phantoms10,IceCaps4	RECAP
Wed, Jul 8	Warning: Use of undefined constant png - assumed 'png' (this will throw an Error in a future version of PHP) in /data/web/virtuals/14616/virtual/www/File/2016-PreSeason/ScheduleSub.php on line 29	@	Checkers20,IceCaps4	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
1,570,000$	870,000$	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