Profi League - IceHogs

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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	Teuvo Teravainen	X	X	X		100.00	60	41	89	86	60	82	87	69	62	47	46	65	50	57	58	0	47	64	0
2	Sven Baertschi		X	X		100.00	62	41	84	82	63	77	79	71	62	45	48	60	50	59	60	0	51	63	0
3	Josh Jooris	X		X		100.00	67	54	65	74	61	74	69	66	65	42	41	70	90	58	59	0	51	61	0
4	Seth Griffith (A)			X		100.00	58	67	60	70	51	67	68	65	79	44	42	64	59	46	46	0	55	57	0
5	Riley Barber (R)			X		100.00	81	70	77	68	54	59	61	62	75	38	41	62	57	44	44	0	51	57	0
6	Max Friberg		X	X		100.00	78	72	76	72	55	67	64	59	73	36	35	58	50	44	44	0	51	56	0
7	Byron Froese	X				100.00	59	43	67	76	54	59	67	63	80	32	39	70	50	50	50	0	51	56	0
8	Scott Wilson	X	X			100.00	81	95	66	64	52	54	63	63	60	39	44	58	50	46	47	0	48	56	0
9	Tyler Brown	X	X			100.00	71	69	74	62	53	61	62	54	65	30	30	59	50	44	44	0	53	52	0
10	Shawn O'Donnell			X		100.00	56	76	57	66	58	54	61	52	64	26	28	51	50	44	44	0	55	49	0
11	Derek DeBlois			X		100.00	57	67	59	64	51	49	59	52	59	27	31	53	50	44	44	0	51	48	0
12	Nikita Zadorov				X	100.00	79	47	82	84	94	75	84	71	25	40	38	72	50	60	57	0	47	68	0
13	Korbinian Holzer				X	100.00	79	45	85	73	73	69	63	66	25	40	37	73	50	62	62	0	51	62	0
14	Victor Bartley				X	100.00	77	73	64	76	59	62	66	56	25	39	37	71	50	58	59	0	52	59	0
15	Jordan Subban (R)				X	100.00	55	62	61	68	55	61	65	67	25	37	33	54	50	55	55	0	52	54	0
16	Andrew MacWilliam				X	100.00	59	78	66	71	62	69	71	56	25	29	26	58	50	49	45	0	47	54	0
17	Kevin Gravel				X	100.00	56	72	63	61	59	66	68	63	25	32	33	57	50	46	46	0	49	53	0
18	Mackenzie Weegar (R)				X	100.00	56	67	62	65	56	64	67	63	25	33	31	55	50	45	45	0	51	52	0
19	Zach Leslie (R)				X	100.00	58	65	67	69	56	57	63	56	25	29	26	57	50	46	46	0	51	51	0
Rayé
1	Austin Carroll (R)		X	X		79.13	64	78	63	64	59	52	60	54	66	30	31	58	50	44	44	0	35	51	0
2	T.J. Tynan	X				100.00	54	58	59	62	49	71	66	59	67	40	31	52	50	44	44	0	51	51	0
3	Daniel Maggio			X	X	100.00	53	76	56	62	57	58	61	52	57	27	28	47	50	44	44	0	35	48	0

	MOYENNE D'ÉQUIPE					99.05	65	64	68	70	59	64	67	61	52	36	35	60	53	50	49	0	49	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	Dustin Tokarski	97.00	62	68	66	78	61	77	63	71	71	68	47	70	66	0	91	66	0
2	Eric Comrie (R)	100.00	69	73	63	73	70	68	66	69	63	65	49	56	56	0	51	65	0
Rayé
1	Pheonix Copley	100.00	66	73	74	72	67	71	65	69	67	64	47	55	55	0	49	65	0
2	Stephon Williams	100.00	59	71	68	64	65	70	63	66	62	62	47	55	55	0	46	62	0

	MOYENNE D'ÉQUIPE	99.25	64	71	68	72	66	72	64	69	66	65	48	59	58	0	59	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Kevin Dineen	57	69	48	60	50	50	46	CAN	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

#	Nom du Joueur	Nom de l'Équipe	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Sven Baertschi	IceHogs (CHI)		LW/RW	4	9	4	13	7	2	0	4	15	5	11	60.00%	1	20.:.46	0	1	1	9	0	1	52.00%	25	18	1	0	1	3.13	0	0
2	Teuvo Teravainen	IceHogs (CHI)		C/LW/RW	3	4	6	10	8	0	0	3	8	6	8	50.00%	0	23.:.10	1	0	1	12	1	0	50.00%	70	5	1	0	1	2.88	0	0
3	Korbinian Holzer	IceHogs (CHI)		D	4	0	8	8	10	0	0	6	5	2	5	0.00%	12	25.:.13	0	0	0	10	0	0	0.00%	0	2	8	0	0	1.59	0	0
4	Josh Jooris	IceHogs (CHI)		C/RW	4	5	3	8	10	6	0	10	13	8	14	38.46%	4	18.:.32	0	0	0	3	0	0	46.15%	26	9	3	0	1	2.16	0	0
5	Scott Wilson	IceHogs (CHI)		C/LW	4	5	1	6	6	45	35	6	11	2	12	45.45%	1	11.:.40	0	0	0	0	1	0	50.00%	22	7	0	0	1	2.57	0	0
6	Nikita Zadorov	IceHogs (CHI)		D	3	2	3	5	9	0	0	9	10	5	3	20.00%	12	27.:.06	0	0	0	11	0	0	0.00%	0	7	3	0	0	1.23	0	0
7	Byron Froese	IceHogs (CHI)		C	4	3	1	4	4	0	0	8	10	4	7	30.00%	0	14.:.48	0	0	0	0	0	0	38.46%	13	12	0	0	0	1.35	0	0
8	Mackenzie Weegar	IceHogs (CHI)		D	4	0	4	4	6	2	0	2	1	1	4	0.00%	2	12.:.50	0	0	0	0	0	0	0.00%	0	1	1	0	0	1.56	0	0
9	Jordan Subban	IceHogs (CHI)		D	4	0	3	3	4	5	5	5	2	1	1	0.00%	4	22.:.03	0	1	1	7	0	0	0.00%	0	1	2	0	0	0.68	0	0
10	Victor Bartley	IceHogs (CHI)		D	4	0	3	3	1	19	15	9	5	4	3	0.00%	6	20.:.46	0	0	0	5	0	0	0.00%	0	6	8	0	0	0.72	0	0
11	Riley Barber	IceHogs (CHI)		RW	4	0	2	2	3	0	0	11	4	3	8	0.00%	1	12.:.49	0	0	0	0	0	0	100.00%	1	2	2	0	0	0.78	0	0
12	T.J. Tynan	IceHogs (CHI)		C	3	0	2	2	2	0	0	1	1	2	1	0.00%	2	09.:.55	0	0	0	0	0	0	41.18%	17	3	0	0	0	1.34	0	0
13	Seth Griffith	IceHogs (CHI)		RW	4	1	0	1	2	10	10	8	5	5	4	20.00%	3	17.:.49	0	0	0	3	0	1	25.00%	8	4	0	0	0	0.28	0	0
14	Derek DeBlois	IceHogs (CHI)		RW	4	0	1	1	3	0	0	4	1	0	1	0.00%	1	11.:.57	0	0	0	0	0	0	100.00%	1	1	1	0	0	0.42	0	0
15	Max Friberg	IceHogs (CHI)		LW/RW	4	1	0	1	1	0	0	8	6	0	2	16.67%	3	14.:.23	0	0	0	1	0	0	55.56%	9	5	1	0	0	0.35	0	0
16	Tyler Brown	IceHogs (CHI)		C/LW	2	0	1	1	9	0	0	1	2	0	1	0.00%	0	14.:.10	0	0	0	0	0	0	66.67%	6	1	0	0	0	0.71	0	0
17	Austin Carroll	IceHogs (CHI)		LW/RW	1	0	0	0	0	0	0	1	0	1	0	0.00%	0	13.:.52	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
18	Daniel Maggio	IceHogs (CHI)		RW/D	2	0	0	0	-1	32	10	1	0	0	0	0.00%	1	11.:.16	0	0	0	0	0	0	50.00%	2	0	0	0	0	0.00	0	0
19	Andrew MacWilliam	IceHogs (CHI)		D	1	0	0	0	1	2	0	2	3	0	2	0.00%	0	17.:.53	0	0	0	0	0	0	0.00%	0	1	0	0	0	0.00	0	0
20	Zach Leslie	IceHogs (CHI)		D	4	0	0	0	7	2	0	0	3	0	0	0.00%	6	10.:.24	0	0	0	0	0	0	0.00%	0	1	3	0	0	0.00	0	0
21	Kevin Gravel	IceHogs (CHI)		D	3	0	0	0	0	10	10	3	1	0	1	0.00%	2	10.:.41	0	0	0	1	0	0	0.00%	0	1	4	0	0	0.00	0	0
22	Shawn O'Donnell	IceHogs (CHI)		RW	4	0	0	0	1	12	10	2	1	0	1	0.00%	0	06.:.57	0	0	0	0	0	0	0.00%	1	0	0	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		74	30	42	72	93	147	95	104	95	107	49	89	28.04%	61	1179	15.94	0	34	1	2	3	4	70	2	2	48.26%	201	87	38	0	4	1.22	0	0	5	5	9	2	2	2

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Pheonix Copley	IceHogs (CHI)	1	1	0	0	92.6%	2.00	60	0	0	2	27	21	1	0.0%	0	1	1	0	0	0
2	Dustin Tokarski	IceHogs (CHI)	3	1	2	0	92.4%	3.02	179	0	0	9	118	76	0	0.0%	0	3	0	0	0	1
Stats d'équipe Total ou en Moyenne	4	2	2	0	0.924	2.76	239	0	0	11	145	97	1	0	0.000	4	1	0	0	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	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
Andrew MacWilliam	D	26	25.03.1990	No	214 Lbs	6 ft2	No	No	2	Pro & Farm	600,000$	0$	600,000$									Lien
Austin Carroll (Sur la Masse Salariale)	LW/RW	22	25.03.1994	Yes	205 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
Byron Froese	C	25	12.03.1991 23:50:19	No	190 Lbs	6 ft0	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Daniel Maggio	RW/D	25	03.03.1991	No	202 Lbs	6 ft3	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Derek DeBlois	RW	25	19.02.1991	No	187 Lbs	5 ft11	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Dustin Tokarski	G	27	16.09.1989	No	195 Lbs	5 ft11	No	No	3	Pro & Farm	900,000$	0$	900,000$	900,000$								Lien
Eric Comrie	G	21	06.07.1995	Yes	167 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
Jordan Subban	D	21	03.03.1995 17:00:24	Yes	175 Lbs	5 ft9	No	No	9	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Josh Jooris	C/RW	26	14.07.1990	No	180 Lbs	6 ft0	No	No	1	Pro & Farm	1,300,000$	0$										Lien
Kevin Gravel	D	24	06.03.1992	No	185 Lbs	6 ft4	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Korbinian Holzer	D	28	16.02.1988	No	205 Lbs	6 ft3	No	No	1	Pro & Farm	800,000$	0$										Lien
Mackenzie Weegar	D	22	02.01.1994	Yes	183 Lbs	6 ft0	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
Max Friberg	LW/RW	23	20.11.1992 8:25:28	No	200 Lbs	5 ft11	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Nikita Zadorov	D	21	16.04.1995 1:50:52	No	220 Lbs	6 ft5	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Pheonix Copley	G	24	18.01.1992 15:45:01	No	196 Lbs	6 ft4	No	No	9	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Lien
Riley Barber	RW	22	07.02.1994	Yes	194 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
Scott Wilson	C/LW	24	24.04.1992	No	183 Lbs	5 ft11	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Seth Griffith	RW	23	04.01.1993	No	192 Lbs	5 ft9	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Shawn O'Donnell	RW	28	28.05.1988	No	209 Lbs	6 ft2	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Stephon Williams	G	23	28.04.1993	No	190 Lbs	6 ft2	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
Sven Baertschi	LW/RW	24	05.10.1992 23:55:02	No	190 Lbs	5 ft11	No	No	1	Pro & Farm	1,200,000$	0$										Lien
T.J. Tynan	C	24	25.02.1992	No	165 Lbs	5 ft8	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
Teuvo Teravainen	C/LW/RW	22	11.09.1994	No	178 Lbs	5 ft11	No	No	2	Pro & Farm	1,300,000$	0$	1,300,000$									Lien
Tyler Brown	C/LW	26	07.02.1990	No	185 Lbs	6 ft1	No	No	2	Pro & Farm	600,000$	0$	600,000$									Lien
Victor Bartley	D	28	17.02.1988	No	203 Lbs	6 ft0	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Zach Leslie	D	22	30.01.1994	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

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
26	24.08	191 Lbs	6 ft1	4.1153846153846	703,846$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Teuvo Teravainen	Sven Baertschi	Seth Griffith	40	1	2	2
2	Tyler Brown	Andrew MacWilliam	Josh Jooris	30	1	2	2
3	Byron Froese	Max Friberg	Derek DeBlois	20	1	2	2
4	Scott Wilson	Riley Barber	Shawn O'Donnell	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nikita Zadorov	Korbinian Holzer	45	1	2	2
2	Victor Bartley	Jordan Subban	40	1	2	2
3	Zach Leslie	Mackenzie Weegar	15	1	2	2
4	Nikita Zadorov	Korbinian Holzer	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Teuvo Teravainen	Sven Baertschi	Seth Griffith	60	1	2	2
2	Josh Jooris	Max Friberg	Riley Barber	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nikita Zadorov	Korbinian Holzer	60	1	2	2
2	Victor Bartley	Jordan Subban	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Teuvo Teravainen	Sven Baertschi	60	1	2	2
2	Josh Jooris	Seth Griffith	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nikita Zadorov	Korbinian Holzer	60	1	2	2
2	Victor Bartley	Jordan Subban	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Teuvo Teravainen	60	1	2	2	Nikita Zadorov	Korbinian Holzer	60	1	2	2
2	Sven Baertschi	40	1	2	2	Victor Bartley	Jordan Subban	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Teuvo Teravainen	Seth Griffith	60	1	2	2
2	Josh Jooris	Max Friberg	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Nikita Zadorov	Korbinian Holzer	60	1	2	2
2	Victor Bartley	Jordan Subban	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Teuvo Teravainen	Sven Baertschi	Seth Griffith	Nikita Zadorov	Korbinian Holzer

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Josh Jooris	Sven Baertschi	Seth Griffith	Nikita Zadorov	Korbinian Holzer

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Byron Froese, Teuvo Teravainen, Sven Baertschi	Byron Froese, Teuvo Teravainen	Josh Jooris

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Victor Bartley, Nikita Zadorov, Korbinian Holzer	Victor Bartley	Victor Bartley, Nikita Zadorov

Tirs de Pénalité
Teuvo Teravainen, Josh Jooris, Seth Griffith, Riley Barber, Sven Baertschi

Gardien
#1 : Dustin Tokarski, #2 : Eric Comrie

Lignes d'Attaque Perso. en Prol.
Seth Griffith, Riley Barber, , , Sven Baertschi, , , , , ,

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	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PP%	PKA	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	Bears	1	0	1	1	5	-4	0	0.000	1	1	2	10	16	4	22	32	47	28	38	20	12	24	1	0.00%	1	100.00%	0	26	54	48.15%	34	79	43.04%	37	68	54.41%	83	51	90	31	65	34
2	Marlies	1	1	0	8	2	6	2	1.000	8	12	20	10	16	4	28	32	47	28	27	9	37	31	0	0.00%	1	100.00%	1	26	54	48.15%	34	79	43.04%	37	68	54.41%	83	51	90	31	65	34
3	Admirals	1	0	1	1	2	-1	0	0.000	1	1	2	10	16	4	23	32	47	28	39	14	60	26	2	0.00%	5	100.00%	0	26	54	48.15%	34	79	43.04%	37	68	54.41%	83	51	90	31	65	34
4	Heat	1	1	0	20	2	18	2	1.000	20	28	48	10	16	4	34	32	47	28	41	18	38	23	3	0.00%	4	100.00%	0	26	54	48.15%	34	79	43.04%	37	68	54.41%	83	51	90	31	65	34
	Vs Division	1	1	0	20	2	18	2	1.000	20	28	48	10	16	4	34	32	47	28	41	18	38	23	3	0.00%	4	100.00%	0	26	54	48.15%	34	79	43.04%	37	68	54.41%	83	51	90	31	65	34
	Vs Conference	1	1	0	20	2	18	2	1.000	20	28	48	10	16	4	34	32	47	28	41	18	38	23	3	0.00%	4	100.00%	0	26	54	48.15%	34	79	43.04%	37	68	54.41%	83	51	90	31	65	34
	Since Last GM Reset	4	2	2	30	11	19	4	0.500	30	42	72	10	16	4	107	32	47	28	145	61	147	104	6	0.00%	11	100.00%	1	26	54	48.15%	34	79	43.04%	37	68	54.41%	83	51	90	31	65	34
	Total	4	2	2	30	11	19	4	0.500	30	42	72	10	16	4	107	32	47	28	145	61	147	104	6	0.00%	11	100.00%	1	26	54	48.15%	34	79	43.04%	37	68	54.41%	83	51	90	31	65	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	4	W2	30	42	72	107	145	61	147	104	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	30	11

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	7

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	28	4

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	2	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
6	0	0.00%	11	0	100.00%	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
32	47	28	0	10	16	4	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
26	54	48.15%	34	79	43.04%	37	68	54.41%

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
83	51	90	31	65	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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Mon, Apr 21	@	Bears5,IceHogs1	RECAP
Tue, Apr 22	@	Admirals2,IceHogs1	RECAP
Fri, Apr 25	@	IceHogs20,Heat2	RECAP
Sat, Apr 26	@	IceHogs8,Marlies2	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
1,820,000$	500,000$	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