Profi League - Wolves

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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	Chris Neil			X		100.00	84	99	57	70	79	71	69	67	61	41	41	60	50	85	90	0	81	64	0
2	Jonathan Drouin		X	X		100.00	61	43	96	90	61	79	69	70	62	46	44	58	50	55	56	0	78	63	0
3	Alexander Semin (A)			X		100.00	57	42	65	74	58	58	68	61	62	42	40	57	61	76	79	0	85	58	0
4	Jason Akeson			X		100.00	72	68	75	66	53	70	67	60	74	40	35	58	50	45	46	0	76	56	0
5	Peter Cehlarik (R)		X	X		100.00	63	40	59	66	60	59	60	67	50	39	38	59	52	50	50	0	84	55	0
6	Andrew Agozzino	X	X			100.00	61	66	60	73	51	67	64	62	71	42	38	57	56	44	44	0	83	55	0
7	Brayden Irwin (R)	X				100.00	76	84	72	54	59	68	58	56	61	34	36	62	65	54	60	0	24	55	0
8	Tyler Graovac (R)	X				100.00	65	78	63	70	59	65	63	57	74	33	33	60	50	44	44	0	44	54	0
9	Zac Dalpe	X		X		100.00	58	50	67	66	55	52	65	62	58	40	37	58	50	58	58	0	86	54	0
10	Joel Vermin (R)	X	X	X		100.00	60	40	53	65	59	56	57	62	59	37	36	57	51	50	50	0	60	53	0
11	Cory Kane	X	X			100.00	84	74	78	62	56	61	61	53	64	27	32	60	50	44	44	0	80	53	0
12	Travis Boyd (R)	X		X		100.00	65	66	71	63	51	59	61	60	69	37	38	58	50	44	44	0	85	53	0
13	Morgan Klimchuk (R)		X			100.00	67	67	72	68	52	51	60	53	59	28	30	58	50	44	44	0	70	51	0
14	Shea Theodore (R)				X	100.00	62	41	89	85	67	78	64	77	25	44	44	72	50	60	58	0	70	65	0
15	Ryan Pulock (R)				X	100.00	66	89	85	82	78	71	76	74	25	41	43	70	50	59	59	0	74	65	0
16	David Rundblad				X	100.00	63	50	87	81	68	61	65	74	25	43	38	70	50	67	68	0	29	63	0
17	Ivan Provorov (R)				X	100.00	69	40	55	74	70	64	65	68	50	44	35	72	50	50	50	0	79	60	0
18	Brandon Carlo (R)				X	100.00	74	45	75	69	69	65	61	64	25	37	35	69	50	51	51	0	68	58	0
Rayé
1	Bill Arnold	X				100.00	78	77	76	59	59	65	63	57	73	32	35	64	50	44	44	0	79	55	0
2	Brett Pesce (R)				X	100.00	67	42	88	77	80	89	65	71	25	44	40	76	50	52	52	0	55	65	0
3	Kenny Ryan			X	X	100.00	73	73	75	61	56	64	63	54	65	28	33	55	50	44	44	0	20	53	0

	MOYENNE D'ÉQUIPE					100.00	68	61	72	70	62	65	64	63	54	38	37	62	52	53	54	0	67	58

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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	Steve Michalek (R)	100.00	65	70	69	75	65	71	65	69	68	63	46	55	55	0	78	64	0
2	Zane McIntyre (R)	100.00	59	71	76	69	65	71	63	66	61	62	47	58	58	0	32	63	0
Rayé
1	Jason LaBarbera	100.00	57	71	81	69	64	67	61	65	60	61	64	62	63	0	65	64	0

	MOYENNE D'ÉQUIPE	100.00	60	71	75	71	65	70	63	67	63	62	52	58	59	0	58	64

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Stothers	67	76	64	68	60	58	62	CAN	54	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	PKM	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Shea Theodore	Wolves (STL)		D	4	5	2	7	-2	0	0	3	27	13	13	18.52%	12	24.:.28	2	1	3	0	0	4	0	0.00%	0	9	5	0	1	1.43	0
2	David Rundblad	Wolves (STL)		D	4	0	4	4	1	0	0	5	19	7	13	0.00%	9	20.:.40	0	2	2	0	0	3	0	0.00%	0	5	5	0	0	0.97	0
3	Jonathan Drouin	Wolves (STL)		LW/RW	4	2	1	3	-5	0	0	2	18	13	12	11.11%	2	24.:.30	1	1	2	0	0	9	0	27.27%	22	20	3	0	0	0.61	0
4	Andrew Agozzino	Wolves (STL)		C/LW	4	0	3	3	-5	7	5	7	7	3	5	0.00%	4	17.:.59	0	2	2	0	0	0	0	42.42%	66	4	2	0	0	0.83	0
5	Alexander Semin	Wolves (STL)		RW	4	1	1	2	-4	2	0	8	12	5	6	8.33%	1	18.:.49	1	1	2	0	0	7	0	50.00%	6	4	3	0	0	0.53	0
6	Ryan Pulock	Wolves (STL)		D	4	0	2	2	-6	47	25	6	15	13	12	0.00%	10	21.:.32	0	1	1	0	0	4	0	0.00%	0	3	4	0	0	0.46	0
7	Zac Dalpe	Wolves (STL)		C/RW	4	0	2	2	-1	0	0	4	8	5	6	0.00%	3	14.:.23	0	0	0	0	0	0	0	28.89%	45	6	0	0	0	0.70	0
8	Peter Cehlarik	Wolves (STL)		LW/RW	4	0	1	1	-5	4	0	8	7	2	9	0.00%	2	18.:.51	0	1	1	0	0	0	0	100.00%	2	5	1	0	0	0.27	0
9	Brayden Irwin	Wolves (STL)		C	4	1	0	1	-4	7	5	8	4	0	3	25.00%	0	16.:.37	1	0	1	0	0	0	0	46.88%	64	0	1	0	0	0.30	0
10	Ivan Provorov	Wolves (STL)		D	4	0	0	0	-6	2	0	5	3	6	6	0.00%	11	19.:.02	0	0	0	0	0	2	0	0.00%	0	1	4	0	0	0.00	0
11	Joel Vermin	Wolves (STL)		C/LW/RW	4	0	0	0	-1	0	0	7	2	4	3	0.00%	4	14.:.44	0	0	0	0	0	2	0	50.00%	4	1	0	0	0	0.00	0
12	Tyler Graovac	Wolves (STL)		C	3	0	0	0	-1	0	0	3	0	0	0	0.00%	0	06.:.51	0	0	0	0	0	0	0	70.59%	17	0	0	0	0	0.00	0
13	Morgan Klimchuk	Wolves (STL)		LW	4	0	0	0	0	0	0	2	0	0	0	0.00%	0	05.:.24	0	0	0	0	0	0	0	14.29%	7	0	1	0	0	0.00	0
14	Chris Neil	Wolves (STL)		RW	1	0	0	0	0	19	5	4	1	1	1	0.00%	0	18.:.53	0	0	0	0	0	1	0	0.00%	2	1	1	0	0	0.00	0
15	Cory Kane	Wolves (STL)		C/LW	4	0	0	0	-1	0	0	3	1	1	1	0.00%	1	06.:.44	0	0	0	0	0	0	0	0.00%	1	0	0	0	0	0.00	0
16	Travis Boyd	Wolves (STL)		C/RW	4	0	0	0	-1	22	10	3	4	2	1	0.00%	2	11.:.30	0	0	0	0	0	0	0	0.00%	4	1	1	0	0	0.00	0
17	Brandon Carlo	Wolves (STL)		D	4	0	0	0	-5	0	0	7	3	0	1	0.00%	4	14.:.07	0	0	0	0	0	1	0	0.00%	0	1	3	0	0	0.00	0
18	Kenny Ryan	Wolves (STL)		RW/D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.00	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
19	Jason Akeson	Wolves (STL)		RW	4	0	0	0	-4	7	5	7	4	1	2	0.00%	1	17.:.07	0	0	0	0	0	0	0	20.00%	5	0	2	0	0	0.00	0
Stats d'équipe Total ou en Moyenne			69	9	16	25	-50	117	55	92	85	135	76	94	6.67%	66	1105	16.02	5	9	14	31	103	0	2	39	0	0	40.00%	245	61	36	1	0.45	0	0	1	3	7	1	0	0

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	EG	PS %	PSA	ST	BG	S3
1	Steve Michalek	Wolves (STL)	4	0	4	0	87.7%	5.22	207	0	18	146	82	0	0.0%	0	4	0	0
2	Zane McIntyre	Wolves (STL)	1	0	0	0	76.2%	10.00	30	0	5	21	13	0	0.0%	0	0	4	0
Stats d'équipe Total ou en Moyenne		5	0	4	0	0.862	5.80	238	0	23	167	95	0	0.000	0	4	4	0

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Astuces sur les Filtres (Anglais seulement)

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

Nom du 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
Alexander Semin	Wolves (STL)	RW	33	3.3.1984	No	209 Lbs	6 ft2	No	No	1	Sans Restriction	Pro & Farm	600,000$										Lien
Andrew Agozzino	Wolves (STL)	C/LW	25	3.1.1992 18:52:37	No	187 Lbs	5 ft10	No	No	1	Avec Restriction	Pro & Farm	1,000,000$										Lien
Bill Arnold	Wolves (STL)	C	24	1.7.1992	No	218 Lbs	6 ft0	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
Brandon Carlo	Wolves (STL)	D	20	26.11.1996 0:59:04	Yes	203 Lbs	6 ft5	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$
Brayden Irwin	Wolves (STL)	C	29	24.3.1988 7:45:01	Yes	215 Lbs	6 ft5	No	No	5	Sans Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$
Brett Pesce	Wolves (STL)	D	22	15.11.1994 14:30:28	Yes	195 Lbs	6 ft3	No	No	3	Contrat d'Entrée	Pro & Farm	1,100,000$	1,100,000$	1,100,000$								Lien
Chris Neil	Wolves (STL)	RW	37	18.6.1979	No	215 Lbs	6 ft1	No	No	1	Sans Restriction	Pro & Farm	1,200,000$										Lien
Cory Kane	Wolves (STL)	C/LW	26	15.9.1990	No	201 Lbs	6 ft1	No	No	1	Avec Restriction	Pro & Farm	600,000$										Lien
David Rundblad	Wolves (STL)	D	26	8.10.1990 14:40:01	No	187 Lbs	6 ft2	No	No	1	Avec Restriction	Pro & Farm	1,400,000$										Lien
Ivan Provorov	Wolves (STL)	D	20	13.1.1997 15:14:39	Yes	201 Lbs	6 ft1	No	No	1	Contrat d'Entrée	Pro & Farm	399,999$
Jason Akeson	Wolves (STL)	RW	26	3.6.1990	No	190 Lbs	5 ft10	No	No	1	Avec Restriction	Pro & Farm	600,000$										Lien
Jason LaBarbera	Wolves (STL)	G	37	18.2.1980	No	232 Lbs	6 ft3	No	No	1	Sans Restriction	Pro & Farm	600,000$										Lien
Joel Vermin	Wolves (STL)	C/LW/RW	25	5.2.1992 15:15:31	Yes	192 Lbs	5 ft11	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$
Jonathan Drouin	Wolves (STL)	LW/RW	22	27.3.1995 16:22:57	No	186 Lbs	5 ft11	No	No	2	Contrat d'Entrée	Pro & Farm	1,400,000$	1,400,000$									Lien
Kenny Ryan	Wolves (STL)	RW/D	25	10.7.1991 3:30:31	No	204 Lbs	6 ft0	No	No	6	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Morgan Klimchuk	Wolves (STL)	LW	22	1.3.1995	Yes	180 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
Peter Cehlarik	Wolves (STL)	LW/RW	21	2.8.1995 15:16:24	Yes	203 Lbs	6 ft2	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$
Ryan Pulock	Wolves (STL)	D	22	6.10.1994	Yes	212 Lbs	6 ft2	No	No	3	Contrat d'Entrée	Pro & Farm	1,300,000$	1,300,000$	1,300,000$								Lien
Shea Theodore	Wolves (STL)	D	21	3.8.1995 16:27:32	Yes	182 Lbs	6 ft2	No	No	3	Contrat d'Entrée	Pro & Farm	1,300,000$	1,300,000$	1,300,000$								Lien
Steve Michalek	Wolves (STL)	G	23	5.8.1993	Yes	197 Lbs	6 ft3	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
Travis Boyd	Wolves (STL)	C/RW	23	14.9.1993	Yes	185 Lbs	5 ft10	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
Tyler Graovac	Wolves (STL)	C	24	27.4.1993	Yes	200 Lbs	6 ft5	No	No	8	Avec Restriction	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Zac Dalpe	Wolves (STL)	C/RW	27	1.11.1989	No	195 Lbs	6 ft1	No	No	2	Sans Restriction	Pro & Farm	800,000$	800,000$									Lien
Zane McIntyre	Wolves (STL)	G	24	20.8.1992	Yes	207 Lbs	6 ft2	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

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	25.17	200 Lbs	6 ft1	4.96	558,333$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jonathan Drouin		Alexander Semin	40	1	2	2
2	Peter Cehlarik	Andrew Agozzino	Jason Akeson	30	1	2	2
3	Joel Vermin	Zac Dalpe	Travis Boyd	20	1	2	2
4	Cory Kane	Tyler Graovac	Jonathan Drouin	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan Pulock	40	1	2	2
2	Shea Theodore	David Rundblad	30	1	2	2
3	Ivan Provorov	Brandon Carlo	20	1	2	2
4		Ryan Pulock	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Jonathan Drouin		Alexander Semin	60	1	2	2
2	Peter Cehlarik	Andrew Agozzino	Jason Akeson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan Pulock	60	1	2	2
2	Shea Theodore	David Rundblad	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jonathan Drouin	Alexander Semin	60	1	2	2
2	Jason Akeson	Peter Cehlarik	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan Pulock	60	1	2	2
2	Shea Theodore	David Rundblad	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jonathan Drouin	60	1	2	2		Ryan Pulock	60	1	2	2
2	Alexander Semin	40	1	2	2	Shea Theodore	David Rundblad	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jonathan Drouin	Alexander Semin	60	1	2	2
2	Jason Akeson	Peter Cehlarik	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1		Ryan Pulock	60	1	2	2
2	Shea Theodore	David Rundblad	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jonathan Drouin		Alexander Semin		Ryan Pulock

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Jonathan Drouin		Alexander Semin		Ryan Pulock

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Morgan Klimchuk, Zac Dalpe, Tyler Graovac	Morgan Klimchuk, Zac Dalpe	Tyler Graovac

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Ivan Provorov, Brandon Carlo, Shea Theodore	Ivan Provorov	Brandon Carlo, Shea Theodore

Tirs de Pénalité
Jonathan Drouin, Alexander Semin, Jason Akeson, Peter Cehlarik,

Gardien
#1 : Steve Michalek, #2 : Zane McIntyre

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

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

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	VS Équipe	GP	L	GF	GA	Diff	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Barons	4	4	10	23	-13	10	17	27	3	3	4	149	48	49	52	167	79	117	97	15	5	33.33%	11	7	36.36%	39	96	40.63%	33	81	40.74%	26	68	38.24%	92	59	86	32	60	30
	Vs Division	4	4	10	23	-13	10	17	27	3	3	4	149	48	49	52	167	79	117	97	15	5	33.33%	11	7	36.36%	39	96	40.63%	33	81	40.74%	26	68	38.24%	92	59	86	32	60	30
	Vs Conference	4	4	10	23	-13	10	17	27	3	3	4	149	48	49	52	167	79	117	97	15	5	33.33%	11	7	36.36%	39	96	40.63%	33	81	40.74%	26	68	38.24%	92	59	86	32	60	30
	Since Last GM Reset	4	4	10	23	-13	10	17	27	3	3	4	149	48	49	52	167	79	117	97	15	5	33.33%	11	7	36.36%	39	96	40.63%	33	81	40.74%	26	68	38.24%	92	59	86	32	60	30
	Total	4	4	10	23	-13	10	17	27	3	3	4	149	48	49	52	167	79	117	97	15	5	33.33%	11	7	36.36%	39	96	40.63%	33	81	40.74%	26	68	38.24%	92	59	86	32	60	30

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
4	0	L4	10	17	27	149	167	79	117	97	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	10	23

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	7

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	16

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	4	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
15	5	33.33%	11	7	36.36%	0

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
48	49	52	0	3	3	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
39	96	40.63%	33	81	40.74%	26	68	38.24%

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
92	59	86	32	60	30

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

Date		Result	Detail
Wed, Apr 30	@	Barons3,Wolves2	RECAP
Fri, May 2	@	Barons4,Wolves3	RECAP
Sun, May 4	@	Wolves3,Barons6	RECAP
Tue, May 6	@	Wolves2,Barons10	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
39	0 - 0.00%	0$	0$	3000	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs
1,340,000$	700,000$	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