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	Andreas Martinsen (R)	X	X	X		100.00	82	81	65	78	59	55	67	64	58	38	40	60	50	49	49	0	75	58	0
2	Nic Petan (R)	X				100.00	63	40	66	80	49	55	61	63	64	41	39	60	50	51	52	0	53	56	0
3	Noel Acciari	X				100.00	78	46	66	66	55	52	61	60	78	39	38	65	50	45	45	0	78	56	0
4	Gemel Smith (R)	X	X			100.00	81	71	77	66	54	68	65	57	67	32	35	55	50	44	44	0	78	55	0
5	Buddy Robinson			X		100.00	66	88	64	69	60	69	66	56	74	30	36	58	50	44	44	0	73	54	0
6	Erik Karlsson. (R)		X			100.00	58	60	70	66	61	59	58	58	54	32	37	55	58	60	60	0	83	54	0
7	Ruslan Fedotenko		X	X		100.00	59	74	61	62	56	49	59	55	69	32	27	57	50	82	82	0	86	53	0
8	Joe Whitney		X			100.00	54	58	59	62	49	65	62	62	68	41	41	55	58	44	44	0	77	53	0
9	Brian O'Neill			X		100.00	69	43	67	60	49	53	65	63	58	39	38	60	50	46	48	0	83	53	0
10	Kyle Rau	X	X			100.00	59	61	69	66	49	56	61	59	64	33	39	60	50	44	44	0	86	52	0
11	Yanni Gourde		X			100.00	53	56	59	63	48	69	65	59	65	39	36	52	50	44	44	0	80	52	0
12	Jordan Samuels-Thomas		X			100.00	59	74	61	59	56	66	64	56	67	31	35	57	50	44	44	0	85	52	0
13	Mark Pysyk				X	100.00	68	42	81	78	68	71	76	72	25	44	38	73	50	72	70	0	69	65	0
14	Joel Edmundson (R)				X	100.00	81	77	74	79	77	69	71	69	25	41	38	75	50	56	56	0	80	64	0
15	Stefan Elliott				X	100.00	65	42	88	80	68	67	77	73	25	42	41	70	50	52	52	0	79	63	0
16	Seth Helgeson				X	100.00	79	80	75	67	81	66	79	55	25	39	37	71	50	60	60	0	41	62	0
17	Zach Redmond				X	100.00	73	44	87	76	73	58	73	68	25	42	40	71	50	57	57	0	41	62	0
18	Paul Postma				X	100.00	76	42	67	72	59	62	66	69	25	39	37	73	50	58	58	0	49	60	0
Rayé
1	Garnet Hathaway			X		100.00	81	93	56	62	59	59	65	62	58	42	38	61	50	45	45	0	72	56	0
2	Anton Blidh (R)		X	X		100.00	59	73	60	66	55	54	60	54	64	27	33	56	50	44	44	0	20	50	0
3	Emil Molin (R)	X	X	X		100.00	61	65	70	64	50	47	57	54	66	33	27	58	50	44	44	0	26	50	0
4	Dennis Robertson				X	100.00	58	78	66	61	62	66	68	56	25	26	28	57	50	46	46	0	61	52	0
5	Julius Bergman (R)				X	100.00	56	72	63	60	59	60	65	55	25	26	28	55	50	45	45	0	36	50	0

	MOYENNE D'ÉQUIPE					100.00	67	63	68	68	59	61	66	61	51	36	36	61	51	51	51	0	66	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	82	70	0
2	Eddie Pasquale (R)	100.00	71	73	80	75	71	75	70	73	71	67	51	55	55	0	83	68	0
Rayé
1	Matt Hackett	100.00	59	71	64	62	66	68	63	67	62	63	50	62	64	0	21	63	0
2	Adam Wilcox (R)	100.00	59	70	69	65	68	68	64	62	61	62	50	55	55	0	20	62	0

	MOYENNE D'ÉQUIPE	100.00	66	75	74	70	68	72	66	68	66	68	50	57	58	0	52	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
1	Stefan Elliott	IceCaps (WPG)		D	9	2	4	6	-1	0	0	6	61	28	23	3.28%	21	23.:.47	1	1	2	0	0	0	4	1	0	0.00%	0	21	9	0	0	0.56
2	Joel Edmundson	IceCaps (WPG)		D	9	3	2	5	0	22	20	20	45	17	16	6.67%	24	27.:.52	1	1	2	0	0	0	18	2	1	0.00%	0	14	24	0	0	0.40
3	Zach Redmond	IceCaps (WPG)		D	9	4	1	5	0	2	0	14	38	17	15	10.53%	18	25.:.35	2	0	2	1	0	1	15	1	2	0.00%	0	17	11	0	0	0.43
4	Mark Pysyk	IceCaps (WPG)		D	8	0	5	5	-1	0	0	4	41	30	20	0.00%	17	22.:.34	0	3	3	0	1	1	12	0	0	0.00%	0	16	15	0	0	0.55
5	Nic Petan	IceCaps (WPG)		C	9	1	2	3	0	2	0	21	32	17	21	3.12%	6	26.:.05	1	0	1	0	0	0	17	0	0	45.74%	188	46	4	0	0	0.26
6	Paul Postma	IceCaps (WPG)		D	9	0	3	3	2	0	0	18	11	6	5	0.00%	17	21.:.08	0	0	0	0	0	0	16	0	0	0.00%	0	9	14	0	0	0.32
7	Kyle Rau	IceCaps (WPG)		C/LW	9	1	1	2	2	4	0	16	10	7	10	10.00%	6	23.:.38	0	1	1	0	0	0	7	0	0	41.18%	34	8	6	0	0	0.19
8	Andreas Martinsen	IceCaps (WPG)		C/LW/RW	9	2	0	2	-3	53	35	31	38	10	19	5.26%	3	22.:.42	0	0	0	0	0	0	6	1	0	33.33%	21	37	4	0	0	0.20
9	Seth Helgeson	IceCaps (WPG)		D	9	0	2	2	-1	37	15	11	8	5	9	0.00%	13	18.:.43	0	0	0	0	0	0	0	0	0	0.00%	0	4	18	0	0	0.24
10	Noel Acciari	IceCaps (WPG)		C	9	0	2	2	-3	2	0	21	15	6	17	0.00%	6	24.:.22	0	2	2	0	0	0	15	0	0	51.66%	151	4	13	0	0	0.18
11	Gemel Smith	IceCaps (WPG)		C/LW	9	0	2	2	0	0	0	26	9	4	7	0.00%	3	26.:.24	0	1	1	0	0	0	1	0	0	45.24%	84	0	7	0	0	0.17
12	Garnet Hathaway	IceCaps (WPG)		RW	4	0	1	1	1	45	35	4	6	0	2	0.00%	0	11.:.16	0	1	1	0	0	0	6	0	0	0.00%	1	2	1	0	0	0.44
13	Ruslan Fedotenko	IceCaps (WPG)		LW/RW	9	0	1	1	-2	7	5	16	5	3	4	0.00%	5	17.:.53	0	0	0	0	0	0	0	0	0	33.33%	6	0	3	0	0	0.12
14	Brian O'Neill	IceCaps (WPG)		RW	9	1	0	1	-1	6	0	22	18	3	13	5.56%	3	18.:.42	0	0	0	0	0	0	8	0	0	25.00%	12	6	4	0	0	0.12
15	Buddy Robinson	IceCaps (WPG)		RW	8	0	0	0	2	59	25	15	7	6	9	0.00%	4	15.:.11	0	0	0	0	0	0	2	0	0	66.67%	6	1	1	0	0	0.00
16	Erik Karlsson.	IceCaps (WPG)		LW	9	0	0	0	0	6	0	5	13	6	8	0.00%	2	22.:.57	0	0	0	0	0	0	2	0	0	30.00%	10	2	3	0	0	0.00
17	Dennis Robertson	IceCaps (WPG)		D	3	0	0	0	0	0	0	0	2	0	0	0.00%	1	08.:.52	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00
18	Yanni Gourde	IceCaps (WPG)		LW	7	0	0	0	-1	0	0	2	2	0	2	0.00%	0	04.:.04	0	0	0	0	0	0	0	0	0	50.00%	2	1	1	0	0	0.00
19	Jordan Samuels-Thomas	IceCaps (WPG)		LW	9	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.49	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00
20	Joe Whitney	IceCaps (WPG)		LW	9	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.19	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00
Stats d'équipe Total ou en Moyenne			165	14	26	40	-6	245	135	252	272	361	165	200	3.88%	149	3111	18.86	5	10	15	28	162	1	1	2	8	136	5	3	45.83%	515	188	138	0.26	0	0	6	7	14	1	4	3

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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 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	Magnus Hellberg	IceCaps (WPG)	9	5	3	1	95.7%	1.34	628	0	0	14	329	217	0	0	0.0%	0	9	0	4	2	1
Stats d'équipe Total ou en Moyenne		9	5	3	1	0.957	1.34	628	0	0	14	329	217	0	0	0.000	0	9	0	4	2	1

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	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	IceCaps (WPG)	G	23	25.4.1994	Yes	201 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$									Lien
Andreas Martinsen	IceCaps (WPG)	C/LW/RW	26	12.6.1990	Yes	220 Lbs	6 ft3	No	No	1	Avec Restriction	Pro & Farm	1,100,000$										Lien
Anton Blidh	IceCaps (WPG)	LW/RW	22	14.3.1995	Yes	201 Lbs	6 ft0	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Brian O'Neill	IceCaps (WPG)	RW	28	1.6.1988	No	170 Lbs	5 ft9	No	No	1	Sans Restriction	Pro & Farm	800,000$										Lien
Buddy Robinson	IceCaps (WPG)	RW	25	30.9.1991	No	235 Lbs	6 ft5	No	No	1	Avec Restriction	Pro & Farm	1,000,000$										Lien
Dennis Robertson	IceCaps (WPG)	D	26	24.5.1991	No	215 Lbs	6 ft1	No	No	9	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Eddie Pasquale	IceCaps (WPG)	G	26	19.11.1990	Yes	215 Lbs	6 ft3	No	No	1	Avec Restriction	Pro & Farm	500,000$										Lien
Emil Molin	IceCaps (WPG)	C/LW/RW	24	3.2.1993	Yes	179 Lbs	6 ft0	No	No	10	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Erik Karlsson.	IceCaps (WPG)	LW	22	28.7.1994	Yes	170 Lbs	6 ft0	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Garnet Hathaway	IceCaps (WPG)	RW	25	22.11.1991	No	210 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	1,300,000$										Lien
Gemel Smith	IceCaps (WPG)	C/LW	23	16.4.1994	Yes	200 Lbs	5 ft10	No	No	9	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Joe Whitney	IceCaps (WPG)	LW	29	6.2.1988	No	170 Lbs	5 ft6	No	No	1	Sans Restriction	Pro & Farm	600,000$										Lien
Joel Edmundson	IceCaps (WPG)	D	23	28.6.1993	Yes	207 Lbs	6 ft4	No	No	2	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$									Lien
Jordan Samuels-Thomas	IceCaps (WPG)	LW	26	28.5.1990	No	195 Lbs	6 ft3	No	No	9	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Julius Bergman	IceCaps (WPG)	D	21	2.11.1995	Yes	195 Lbs	6 ft1	No	No	10	Contrat d'Entrée	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Kyle Rau	IceCaps (WPG)	C/LW	24	24.10.1992 23:21:47	No	179 Lbs	5 ft8	No	No	2	Avec Restriction	Pro & Farm	800,000$	800,000$									Lien
Magnus Hellberg	IceCaps (WPG)	G	26	4.4.1991 4:36:38	No	185 Lbs	6 ft5	No	No	7	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Mark Pysyk	IceCaps (WPG)	D	25	11.1.1992 4:39:55	No	192 Lbs	6 ft1	No	No	2	Avec Restriction	Pro & Farm	1,500,000$	1,500,000$									Lien
Matt Hackett	IceCaps (WPG)	G	27	7.3.1990	No	171 Lbs	6 ft2	No	No	3	Sans Restriction	Pro & Farm	800,000$	800,000$	800,000$								Lien
Nic Petan	IceCaps (WPG)	C	22	22.3.1995 23:25:33	Yes	179 Lbs	5 ft9	No	No	3	Contrat d'Entrée	Pro & Farm	1,000,000$	1,000,000$	1,000,000$								Lien
Noel Acciari	IceCaps (WPG)	C	25	31.3.1992	No	205 Lbs	5 ft11	No	No	1	Avec Restriction	Pro & Farm	1,500,000$										Lien
Paul Postma	IceCaps (WPG)	D	28	22.2.1989	No	195 Lbs	6 ft3	No	No	2	Sans Restriction	Pro & Farm	1,100,000$	1,100,000$									Lien
Ruslan Fedotenko	IceCaps (WPG)	LW/RW	38	18.1.1979	No	200 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	500,000$										Lien
Seth Helgeson	IceCaps (WPG)	D	26	8.10.1990	No	215 Lbs	6 ft4	No	No	1	Avec Restriction	Pro & Farm	1,200,000$										Lien
Stefan Elliott	IceCaps (WPG)	D	26	30.1.1991 5:04:46	No	190 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	1,000,000$										Lien
Yanni Gourde	IceCaps (WPG)	LW	25	15.12.1991	No	157 Lbs	5 ft9	No	No	1	Avec Restriction	Pro & Farm	1,100,000$										Lien
Zach Redmond	IceCaps (WPG)	D	28	26.7.1988 5:07:13	No	205 Lbs	6 ft2	No	No	2	Sans Restriction	Pro & Farm	1,500,000$	1,500,000$									Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
27	25.52	195 Lbs	6 ft1	3.81	759,259$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Gemel Smith	Noel Acciari	Andreas Martinsen	40	1	2	2
2	Kyle Rau	Nic Petan	Erik Karlsson.	30	1	2	2
3	Erik Karlsson.	Gemel Smith	Buddy Robinson	20	1	3	1
4	Ruslan Fedotenko	Nic Petan	Brian O'Neill	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Joel Edmundson	Mark Pysyk	40	1	2	2
2	Stefan Elliott	Seth Helgeson	33	1	2	2
3	Paul Postma	Zach Redmond	27	1	3	1
4	Paul Postma	Zach Redmond	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Andreas Martinsen	Nic Petan	Kyle Rau	60	1	0	4
2	Gemel Smith	Noel Acciari	Erik Karlsson.	40	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Pysyk	Zach Redmond	60	1	1	3
2	Stefan Elliott	Joel Edmundson	40	1	1	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nic Petan	Noel Acciari	60	1	2	2
2	Andreas Martinsen	Buddy Robinson	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mark Pysyk	Joel Edmundson	60	1	2	2
2	Zach Redmond	Paul Postma	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Gemel Smith	60	1	2	2	Joel Edmundson	Mark Pysyk	60	1	2	2
2	Nic Petan	40	1	2	2	Zach Redmond	Stefan Elliott	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Andreas Martinsen	Nic Petan	60	1	2	2
2	Noel Acciari	Ruslan Fedotenko	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	Zach Redmond	Paul Postma	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Noel Acciari	Andreas Martinsen	Nic Petan	Mark Pysyk	Joel Edmundson

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Noel Acciari	Andreas Martinsen	Nic Petan	Mark Pysyk	Joel Edmundson

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kyle Rau, Andreas Martinsen, Noel Acciari	Nic Petan, Andreas Martinsen	Brian O'Neill

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Joel Edmundson, Mark Pysyk, Zach Redmond	Joel Edmundson	Paul Postma, Mark Pysyk

Tirs de Pénalité
Kyle Rau, Andreas Martinsen, Noel Acciari, Nic Petan, Gemel Smith

Gardien
#1 : Magnus Hellberg, #2 : Eddie Pasquale

Lignes d'Attaque Perso. en Prol.
Brian O'Neill, Kyle Rau, Andreas Martinsen, Noel Acciari, Ruslan Fedotenko, Nic Petan, Nic Petan, Gemel Smith, Buddy Robinson, Erik Karlsson., Joe Whitney

Lignes de Défense Perso. en Prol.
Joel Edmundson, Mark Pysyk, Zach Redmond, Paul Postma, Stefan Elliott

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	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	Monsters	5	1	4	6	10	-4	2	0.200	6	12	18	4	6	2	2	223	125	85	103	48	189	93	92	147	9	1	11.11%	11	3	72.73%	0	99	230	43.04%	90	183	49.18%	47	102	46.08%	229	137	221	87	178	93
2	Stars	4	4	0	8	4	4	8	1.000	8	14	22	4	6	2	2	138	125	85	103	48	140	56	153	105	12	4	33.33%	9	1	88.89%	1	99	230	43.04%	90	183	49.18%	47	102	46.08%	229	137	221	87	178	93
	Vs Conference	9	5	4	14	14	0	10	0.556	14	26	40	4	6	2	2	361	125	85	103	48	329	149	245	252	21	5	23.81%	20	4	80.00%	1	99	230	43.04%	90	183	49.18%	47	102	46.08%	229	137	221	87	178	93
	Since Last GM Reset	9	5	4	14	14	0	10	0.556	14	26	40	4	6	2	2	361	125	85	103	48	329	149	245	252	21	5	23.81%	20	4	80.00%	1	99	230	43.04%	90	183	49.18%	47	102	46.08%	229	137	221	87	178	93
	Total	9	5	4	14	14	0	10	0.556	14	26	40	4	6	2	2	361	125	85	103	48	329	149	245	252	21	5	23.81%	20	4	80.00%	1	99	230	43.04%	90	183	49.18%	47	102	46.08%	229	137	221	87	178	93

			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
9	10	OTL1	14	26	40	361	329	149	245	252	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	5	4	0	0	0	0	14	14

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	3	1	0	0	0	0	7	5

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	7	9

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	3	2	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
21	5	23.81%	20	4	80.00%	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
125	85	103	48	4	6	2	2

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
99	230	43.04%	90	183	49.18%	47	102	46.08%

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
229	137	221	87	178	93

Derniers Match Joués

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
Fri, May 22	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-Playoffs/ScheduleSub.php on line 29	@	IceCaps2,Stars1	RECAP
Sun, May 24	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-Playoffs/ScheduleSub.php on line 29	@	IceCaps2,Stars1	RECAP
Tue, May 26	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-Playoffs/ScheduleSub.php on line 29	@	Stars1,IceCaps2	RECAP
Thu, May 28	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-Playoffs/ScheduleSub.php on line 29	@	Stars1,IceCaps2 (OT)	RECAP
Fri, Jun 5	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-Playoffs/ScheduleSub.php on line 29	@	IceCaps1,Monsters3	RECAP
Sun, Jun 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-Playoffs/ScheduleSub.php on line 29	@	IceCaps1,Monsters2	RECAP
Tue, Jun 9	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-Playoffs/ScheduleSub.php on line 29	@	Monsters2,IceCaps1	RECAP
Thu, Jun 11	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-Playoffs/ScheduleSub.php on line 29	@	Monsters1,IceCaps2 (OT)	RECAP
Sat, Jun 13	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-Playoffs/ScheduleSub.php on line 29	@	IceCaps1,Monsters2 (OT)	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
37	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
2,050,000$	990,000$	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