Profi League - Barons

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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	Devin Shore (R)	X	X			100.00	82	75	78	73	57	52	67	64	80	39	44	63	61	44	44	0	51	59	0
2	Michael Chaput	X	X			100.00	69	76	63	65	58	71	67	61	78	40	41	59	50	50	50	0	52	57	0
3	Bogdan Yakimov	X				100.00	87	87	78	66	60	62	62	57	78	34	33	64	50	44	44	0	52	56	0
4	Borna Rendulic		X	X		100.00	60	75	63	81	57	64	63	58	73	34	36	61	50	45	45	0	45	55	0
5	Frederik Gauthier (R)	X				100.00	86	81	78	63	59	54	60	56	73	32	32	62	50	44	44	0	49	54	0
6	Oskar Sundqvist (R)	X	X	X		100.00	62	44	67	62	59	53	61	61	79	41	39	59	50	45	45	0	51	54	0
7	Ryan Carpenter			X		100.00	58	68	60	59	52	69	66	61	75	41	38	58	50	44	44	0	48	54	0
8	Vinny Saponari			X		100.00	79	71	76	66	54	48	59	56	69	35	30	55	50	44	44	0	51	53	0
9	Blake Pietila (R)		X	X		100.00	71	69	74	66	53	53	60	55	64	29	34	60	50	44	44	0	51	52	0
10	Alex Friesen	X				100.00	56	65	59	60	50	66	64	59	67	33	35	55	50	44	44	0	51	51	0
11	Blair Riley		X			100.00	57	77	57	60	58	65	63	54	65	28	33	53	50	44	44	0	51	50	0
12	Kelly Zajac	X				100.00	61	65	69	62	50	49	59	52	57	27	27	56	50	44	44	0	51	48	0
13	Christian Ehrhoff				X	100.00	70	50	78	81	83	71	72	74	25	44	40	72	50	87	87	0	48	68	0
14	Joe Morrow				X	100.00	68	43	89	81	70	71	62	71	25	42	40	71	50	50	50	0	51	62	0
15	Anthony Bitetto				X	100.00	77	68	78	73	74	60	74	57	25	42	39	71	50	49	49	0	51	61	0
16	Jerome Leduc				X	100.00	79	71	93	66	68	88	89	51	25	30	33	61	50	48	48	0	50	60	0
17	Andrey Pedan				X	100.00	80	99	61	71	64	61	68	68	25	37	37	69	50	49	45	0	56	59	0
18	Jesse Blacker				X	100.00	56	71	62	65	58	64	68	57	25	30	27	55	50	45	45	0	51	51	0
Rayé
1	Chris DeSousa	X				100.00	57	67	59	66	51	53	60	53	59	28	31	53	50	44	44	0	51	49	0
2	Brian Strait				X	100.00	79	56	80	75	72	70	72	58	25	41	38	76	50	61	62	0	43	63	0
3	David Shields				X	100.00	61	76	69	63	61	62	66	61	25	31	32	63	50	49	44	0	41	54	0
4	Reid McNeill				X	100.00	60	81	66	62	63	67	69	56	25	29	26	59	50	47	47	0	49	53	0

	MOYENNE D'ÉQUIPE					100.00	69	70	71	68	61	62	66	59	52	35	35	62	51	48	48	0	50	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	Spencer Martin (R)	98.00	70	74	86	78	80	67	73	65	61	69	49	55	55	0	51	67	0
2	Vitek Vanecek (R)	100.00	67	78	85	84	71	77	66	72	68	40	48	60	58	0	51	66	0
Rayé
1	Roman Will (R)	100.00	59	70	67	63	68	67	64	61	61	62	50	55	55	0	46	61	0

	MOYENNE D'ÉQUIPE	99.33	65	74	79	75	73	70	68	66	63	57	49	57	56	0	49	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Kirk Muller	58	53	53	61	51	50	49	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	Joe Morrow	Barons (EDM)		D	4	0	4	4	0	0	0	4	16	13	13	0.00%	11	24.:.16	0	2	2	0	1	1	7	0	0	0.00%	0	3	7	0	0	0.82	0
2	Christian Ehrhoff	Barons (EDM)		D	4	3	0	3	0	2	0	5	28	12	11	10.71%	10	25.:.34	1	0	1	1	0	1	6	2	0	0.00%	0	9	6	0	0	0.59	0
3	Oskar Sundqvist	Barons (EDM)		C/LW/RW	4	2	0	2	0	0	0	3	11	5	8	18.18%	1	16.:.25	1	0	1	0	0	0	1	0	0	20.00%	5	9	1	0	0	0.61	0
4	Bogdan Yakimov	Barons (EDM)		C	4	0	2	2	0	5	5	11	11	5	0	0.00%	0	15.:.34	0	1	1	0	0	0	0	0	0	49.02%	51	4	6	0	0	0.64	0
5	Anthony Bitetto	Barons (EDM)		D	4	1	1	2	-2	2	0	8	6	8	7	16.67%	4	21.:.03	1	1	2	0	0	0	6	0	0	0.00%	0	7	6	0	0	0.47	0
6	Borna Rendulic	Barons (EDM)		LW/RW	4	0	1	1	0	10	10	7	9	6	8	0.00%	3	16.:.41	0	1	1	0	0	0	0	0	0	50.00%	2	8	1	0	0	0.30	0
7	Devin Shore	Barons (EDM)		C/LW	4	1	0	1	-2	0	0	11	14	6	14	7.14%	1	18.:.47	1	0	1	0	0	0	0	0	0	43.37%	83	12	4	0	0	0.27	0
8	Andrey Pedan	Barons (EDM)		D	4	0	1	1	-2	21	15	10	14	4	11	0.00%	3	19.:.14	0	1	1	0	0	0	5	0	0	0.00%	0	7	4	0	0	0.26	0
9	Frederik Gauthier	Barons (EDM)		C	4	0	0	0	1	10	10	9	9	1	6	0.00%	0	14.:.51	0	0	0	0	0	0	7	0	0	41.67%	36	0	4	0	0	0.00	0
10	Blake Pietila	Barons (EDM)		LW/RW	4	0	0	0	-1	0	0	9	3	2	3	0.00%	5	12.:.31	0	0	0	0	0	0	0	0	0	0.00%	0	2	2	0	0	0.00	0
11	Chris DeSousa	Barons (EDM)		C	2	0	0	0	0	0	0	2	1	0	0	0.00%	0	10.:.01	0	0	0	0	0	0	0	0	0	0.00%	1	3	2	0	0	0.00	0
12	Jerome Leduc	Barons (EDM)		D	4	0	0	0	-2	0	0	6	2	1	1	0.00%	7	15.:.51	0	0	0	0	0	0	0	0	0	0.00%	0	3	5	0	0	0.00	0
13	Ryan Carpenter	Barons (EDM)		RW	2	0	0	0	-2	0	0	2	1	0	2	0.00%	0	18.:.17	0	0	0	0	0	0	0	0	0	0.00%	1	1	1	0	0	0.00	0
14	David Shields	Barons (EDM)		D	2	0	0	0	0	25	15	1	7	0	0	0.00%	1	14.:.36	0	0	0	0	0	0	0	0	0	0.00%	0	1	1	0	0	0.00	0
15	Alex Friesen	Barons (EDM)		C	4	0	0	0	-1	0	0	5	3	1	5	0.00%	0	11.:.10	0	0	0	0	0	0	6	0	0	47.37%	19	1	2	0	0	0.00	0
16	Michael Chaput	Barons (EDM)		C/LW	4	0	0	0	-2	5	5	9	8	6	7	0.00%	0	18.:.14	0	0	0	0	0	0	0	0	0	25.00%	4	10	2	0	0	0.00	0
17	Vinny Saponari	Barons (EDM)		RW	4	0	0	0	0	0	0	8	5	4	2	0.00%	1	12.:.47	0	0	0	0	0	0	0	0	0	50.00%	2	2	0	0	0	0.00	0
18	Kelly Zajac	Barons (EDM)		C	4	0	0	0	-1	2	0	2	1	0	1	0.00%	0	12.:.08	0	0	0	0	0	0	4	0	0	50.00%	8	1	2	0	0	0.00	0
19	Jesse Blacker	Barons (EDM)		D	4	0	0	0	0	2	0	4	2	1	4	0.00%	0	16.:.08	0	0	0	0	0	0	1	0	0	0.00%	0	1	2	0	0	0.00	0
20	Blair Riley	Barons (EDM)		LW	4	0	0	0	0	2	0	4	4	0	2	0.00%	0	14.:.08	0	0	0	0	0	0	5	0	0	33.33%	3	2	2	0	0	0.00	0
Stats d'équipe Total ou en Moyenne		74	7	9	16	-14	86	60	120	99	155	75	105	4.52%	47	1227	16.59	4	6	10	14	43	1	1	2	1	53	2	0	43.72%	215	86	60	0	0.26	0	0	1	4	7	1	0	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	Spencer Martin	Barons (EDM)	3	1	2	0	92.5%	2.33	180	0	0	7	93	56	0	0.0%	0	3	1	0	0	1
2	Vitek Vanecek	Barons (EDM)	1	1	0	0	97.6%	0.97	62	0	0	1	42	22	0	0.0%	0	1	3	1	0	0
Stats d'équipe Total ou en Moyenne	4	2	2	0	0.941	1.98	242	0	0	8	135	78	0	0	0.000	4	4	1	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
Alex Friesen	C	25	30.01.1991 9:08:42	No	185 Lbs	5 ft9	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Andrey Pedan	D	23	07.07.1993 9:09:42	No	214 Lbs	6 ft5	No	No	2	Pro & Farm	900,000$	0$	900,000$									Lien
Anthony Bitetto	D	26	15.07.1990	No	210 Lbs	6 ft1	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Blair Riley	LW	30	01.11.1985	No	217 Lbs	6 ft0	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Lien
Blake Pietila	LW/RW	23	20.02.1993 2:14:32	Yes	190 Lbs	5 ft11	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Bogdan Yakimov	C	22	04.10.1994	No	232 Lbs	6 ft5	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
Borna Rendulic	LW/RW	24	25.03.1992 2:03:00	No	200 Lbs	6 ft2	No	No	1	Pro & Farm	900,000$	0$										Lien
Brian Strait	D	28	04.01.1988	No	209 Lbs	6 ft1	No	No	1	Pro & Farm	1,500,000$	0$										Lien
Chris DeSousa	C	26	19.10.1990	No	190 Lbs	5 ft9	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Christian Ehrhoff	D	34	06.07.1982	No	205 Lbs	6 ft2	No	No	2	Pro & Farm	1,500,000$	0$	1,500,000$									Lien
David Shields	D	25	27.01.1991 0:02:20	No	204 Lbs	6 ft3	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Devin Shore	C/LW	22	19.07.1994	Yes	205 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
Frederik Gauthier	C	21	26.04.1995 15:17:04	Yes	214 Lbs	6 ft5	No	No	3	Pro & Farm	900,000$	0$	900,000$	900,000$								Lien
Jerome Leduc	D	24	30.07.1992 15:25:34	No	192 Lbs	6 ft1	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Jesse Blacker	D	25	10.08.1991	No	190 Lbs	6 ft1	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Joe Morrow	D	23	09.12.1992 9:12:10	No	204 Lbs	6 ft1	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Kelly Zajac	C	28	06.06.1988	No	181 Lbs	5 ft10	No	No	1	Pro & Farm	1,100,000$	0$										Lien
Michael Chaput	C/LW	24	09.04.1992 9:12:56	No	197 Lbs	6 ft2	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Oskar Sundqvist	C/LW/RW	22	23.03.1994 15:19:02	Yes	209 Lbs	6 ft3	No	No	2	Pro & Farm	900,000$	0$	900,000$									Lien
Reid McNeill	D	24	29.04.1992 3:24:42	No	215 Lbs	6 ft4	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Roman Will	G	24	22.05.1992	Yes	195 Lbs	6 ft1	No	No	10	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Ryan Carpenter	RW	25	18.01.1991	No	180 Lbs	6 ft1	No	No	1	Pro & Farm	600,000$	0$										Lien
Spencer Martin	G	21	07.06.1995	Yes	200 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
Vinny Saponari	RW	26	15.02.1990 11:32:40	No	196 Lbs	6 ft0	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Lien
Vitek Vanecek	G	20	09.01.1996 0:01:27	Yes	181 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$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
25	24.60	201 Lbs	6 ft1	4.48	584,000$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Devin Shore	Michael Chaput	Ryan Carpenter	40	1	2	2
2	Bogdan Yakimov	Oskar Sundqvist	Borna Rendulic	30	1	2	2
3	Frederik Gauthier	Blair Riley	Vinny Saponari	20	1	2	2
4	Alex Friesen	Kelly Zajac	Blake Pietila	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Christian Ehrhoff	Joe Morrow	40	1	2	2
2	Anthony Bitetto	Andrey Pedan	30	1	2	2
3	Jerome Leduc	Jesse Blacker	20	1	2	2
4	Christian Ehrhoff	Joe Morrow	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Devin Shore	Michael Chaput	Ryan Carpenter	60	1	2	2
2	Bogdan Yakimov	Oskar Sundqvist	Borna Rendulic	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Christian Ehrhoff	Joe Morrow	60	1	2	2
2	Anthony Bitetto	Andrey Pedan	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Frederik Gauthier	Alex Friesen	50	1	2	2
2	Kelly Zajac	Blair Riley	50	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Christian Ehrhoff	Joe Morrow	50	1	2	2
2	Anthony Bitetto	Andrey Pedan	50	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Frederik Gauthier	50	1	2	2	Christian Ehrhoff	Joe Morrow	50	1	2	2
2	Alex Friesen	50	1	2	2	Anthony Bitetto	Andrey Pedan	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Devin Shore	Michael Chaput	60	1	2	2
2	Bogdan Yakimov	Ryan Carpenter	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Christian Ehrhoff	Joe Morrow	60	1	2	2
2	Anthony Bitetto	Andrey Pedan	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Devin Shore	Michael Chaput	Ryan Carpenter	Christian Ehrhoff	Joe Morrow

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Devin Shore	Michael Chaput	Borna Rendulic	Christian Ehrhoff	Joe Morrow

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Kelly Zajac, Ryan Carpenter, Frederik Gauthier	Kelly Zajac, Ryan Carpenter	Frederik Gauthier

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Christian Ehrhoff, Joe Morrow, Anthony Bitetto	Jerome Leduc	Jesse Blacker, Anthony Bitetto

Tirs de Pénalité
Devin Shore, Michael Chaput, Bogdan Yakimov, Borna Rendulic, Frederik Gauthier

Gardien
#1 : Spencer Martin, #2 : Vitek Vanecek

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	VS Équipe	GP	W	L	OTW	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	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	Crunch	1	0	1	0	1	2	-1	0	0.000	1	1	2	3	3	1	39	67	44	41	1	42	13	26	29	3	1	33.33%	3	1	66.67%	0	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
2	Rampage	1	1	0	0	2	1	1	2	1.000	2	2	4	3	3	1	49	67	44	41	1	17	2	2	29	2	1	50.00%	1	1	0.00%	0	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
3	Comets	1	0	1	0	2	4	-2	0	0.000	2	3	5	3	3	1	32	67	44	41	1	34	11	16	27	1	1	100.00%	3	1	66.67%	0	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
4	Stars	1	0	0	1	2	1	1	2	1.000	2	3	5	3	3	1	33	67	44	41	1	42	18	42	31	1	1	100.00%	3	0	100.00%	1	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
	Vs Conference	2	0	1	1	4	5	-1	2	0.500	4	6	10	3	3	1	65	67	44	41	1	76	29	58	58	2	2	100.00%	6	1	83.33%	1	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
	Since Last GM Reset	4	1	2	1	7	8	-1	4	0.500	7	9	16	3	3	1	153	67	44	41	1	135	44	86	116	7	4	57.14%	10	3	70.00%	1	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
	Total	4	1	2	1	7	8	-1	4	0.500	7	9	16	3	3	1	153	67	44	41	1	135	44	86	116	7	4	57.14%	10	3	70.00%	1	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
4	4	L2	7	9	16	153	135	44	86	116	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	1	0	0	0	7	8

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

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	6

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
1	2	1	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
7	4	57.14%	10	3	70.00%	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
67	44	41	1	3	3	0	1

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
40	83	48.19%	27	74	36.49%	27	58	46.55%

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
88	53	90	32	64	32

Astuces sur les Filtres (Anglais seulement)

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

Date		Result	Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Mon, Apr 21	@	Rampage1,Barons2	RECAP
Tue, Apr 22	@	Stars1,Barons2 (OT)	RECAP
Fri, Apr 25	@	Barons1,Crunch2	RECAP
Sat, Apr 26	@	Barons2,Comets4	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2
Capacité de l'Aréna	2000	1000
Prix des Billets	35	15
Assistance	0	0
Assistance PCT	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,450,000$	710,000$	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