Profi League - Penguins

Penguins
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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	Nikita Soshnikov (R)		X	X		100.00	80	46	66	71	61	63	67	69	61	44	43	58	99	45	45	0	48	60	0
2	Justin Fontaine			X		100.00	57	40	67	77	50	56	73	64	58	44	41	67	90	62	63	0	44	59	0
3	Richard Panik		X	X		100.00	70	45	68	73	57	54	79	66	61	39	44	59	50	61	62	0	51	59	0
4	Alexander Khokhlachev (R)	X	X			100.00	59	65	70	68	54	82	69	63	73	40	39	58	64	51	59	0	51	58	0
5	Jayson Megna	X	X	X		100.00	67	72	78	70	55	69	66	60	74	40	41	58	50	48	49	0	51	57	0
6	Tanner Kero	X	X			100.00	64	43	68	74	52	57	61	60	78	40	39	67	50	45	45	0	51	56	0
7	Marek Hrivik		X			100.00	78	75	76	66	57	69	66	59	76	38	35	60	50	44	44	0	51	56	0
8	Quinton Howden		X	X		100.00	76	45	67	68	54	53	61	62	60	40	42	61	50	55	55	0	51	56	0
9	Conor Sheary		X			100.00	57	40	67	74	49	52	65	63	60	39	43	59	50	48	48	0	51	55	0
10	Nick Paul	X	X			100.00	71	45	67	63	57	58	61	63	38	40	40	67	50	46	46	0	51	55	0
11	Carter Rowney	X		X		100.00	61	75	63	63	57	69	66	62	79	38	39	59	56	44	44	0	51	55	0
12	Tyler Motte (R)	X	X			100.00	69	79	64	66	59	64	63	56	74	32	35	60	50	50	50	0	52	54	0
13	Jamie Oleksiak				X	100.00	82	99	70	76	99	61	69	56	25	42	38	72	50	64	63	0	51	65	0
14	Jordan Oesterle				X	100.00	65	42	89	75	66	86	81	76	25	42	37	72	50	58	58	0	51	64	0
15	Viktor Svedberg				X	100.00	64	44	89	65	94	71	75	61	25	39	40	73	50	60	60	0	41	63	0
16	Alex Grant				X	100.00	73	78	72	72	74	80	78	52	25	38	34	61	50	48	48	0	55	60	0
17	Mike Reilly				X	100.00	60	39	67	76	55	63	66	69	25	42	39	69	50	55	55	0	51	58	0
Rayé
1	Colin Smith	X		X		100.00	60	63	69	66	50	67	64	60	69	39	38	58	50	44	44	0	46	54	0
2	Taylor Leier (R)		X			100.00	55	62	59	71	49	69	65	61	69	38	38	56	50	44	44	0	46	54	0
3	Adam Erne (R)		X	X		100.00	64	77	63	67	59	55	60	58	73	32	36	55	50	44	44	0	46	53	0
4	Robert Bortuzzo				X	73.78	81	99	69	75	83	63	67	70	25	39	40	74	50	61	62	0	42	64	0
5	Nick Ebert (R)				X	100.00	57	73	64	58	59	63	67	58	25	30	28	57	50	55	55	0	46	52	0
6	Daniel Walcott (R)				X	100.00	54	60	61	60	55	60	65	56	25	29	27	50	50	44	44	0	46	49	0

	MOYENNE D'ÉQUIPE					98.83	66	61	69	69	61	65	68	62	52	38	38	62	55	51	52	0	49	57

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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	Jeremy Smith	96.00	73	79	65	76	77	68	75	74	71	70	50	64	64	0	51	70	0
2	Zachary Fucale (R)	100.00	65	73	64	70	67	67	64	67	62	63	48	57	57	0	51	64	0
Rayé
1	Troy Grosenick	100.00	60	71	66	63	68	69	65	63	61	62	50	55	55	0	46	62	0

	MOYENNE D'ÉQUIPE	98.67	66	74	65	70	71	68	68	68	65	65	49	59	59	0	49	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Clark Donatelli	64	71	72	68	60	60	70	USA	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	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Jayson Megna	Penguins (PIT)		C/LW/RW	4	2	5	7	6	0	0	10	9	2	4	22.22%	1	14.:.57	0	0	0	0	0	1	0	44.19%	43	1	1	0	0	2.34	0	0
2	Nikita Soshnikov	Penguins (PIT)		LW/RW	4	2	4	6	3	2	0	9	10	7	18	20.00%	2	20.:.46	0	0	0	0	14	0	0	50.00%	24	15	1	0	0	1.44	0	0
3	Justin Fontaine	Penguins (PIT)		RW	4	4	2	6	3	15	5	9	13	6	12	30.77%	3	20.:.32	0	1	1	0	14	1	0	40.00%	5	19	6	0	1	1.46	0	0
4	Richard Panik	Penguins (PIT)		LW/RW	4	1	4	5	6	0	0	12	10	6	9	10.00%	4	16.:.15	0	0	0	0	4	0	0	100.00%	2	6	3	0	0	1.54	0	0
5	Conor Sheary	Penguins (PIT)		LW	4	3	1	4	6	2	0	5	9	2	9	33.33%	0	16.:.23	0	0	0	0	3	0	0	20.00%	5	11	3	0	0	1.22	0	0
6	Jamie Oleksiak	Penguins (PIT)		D	4	1	3	4	5	24	20	12	7	5	3	14.29%	10	23.:.54	0	1	1	0	11	0	0	0.00%	0	0	7	0	0	0.84	0	0
7	Robert Bortuzzo	Penguins (PIT)		D	4	1	2	3	5	42	20	16	12	6	9	8.33%	8	19.:.47	1	0	1	0	8	0	1	0.00%	0	3	9	0	0	0.76	0	0
8	Alexander Khokhlachev	Penguins (PIT)		C/LW	4	0	2	2	3	0	0	3	3	3	1	0.00%	0	18.:.05	0	0	0	0	4	0	0	54.55%	66	2	3	0	0	0.55	0	0
9	Mike Reilly	Penguins (PIT)		D	4	0	1	1	2	0	0	2	8	7	5	0.00%	4	16.:.43	0	0	0	0	6	0	0	0.00%	0	4	5	0	0	0.30	0	0
10	Tanner Kero	Penguins (PIT)		C/LW	4	0	1	1	-1	0	0	4	12	9	3	0.00%	2	13.:.15	0	0	0	0	3	0	0	47.83%	23	7	3	0	0	0.38	0	0
11	Nick Paul	Penguins (PIT)		C/LW	4	0	1	1	-1	2	0	3	4	1	4	0.00%	1	09.:.47	0	0	0	0	1	0	0	50.00%	2	6	1	0	0	0.51	0	0
12	Carter Rowney	Penguins (PIT)		C/RW	4	1	0	1	-1	2	0	6	4	3	3	25.00%	0	09.:.31	0	0	0	0	0	0	0	50.00%	2	3	0	0	0	0.53	0	0
13	Viktor Svedberg	Penguins (PIT)		D	4	0	1	1	0	0	0	1	7	6	3	0.00%	4	16.:.44	0	0	0	0	7	0	0	0.00%	0	2	7	0	0	0.30	0	0
14	Quinton Howden	Penguins (PIT)		LW/RW	4	1	0	1	-1	4	0	5	7	1	6	14.29%	0	12.:.28	0	0	0	0	0	0	0	0.00%	1	9	2	0	0	0.40	0	0
15	Jordan Oesterle	Penguins (PIT)		D	4	0	0	0	0	0	0	3	12	4	2	0.00%	10	23.:.49	0	0	0	0	12	0	0	0.00%	0	2	8	0	0	0.00	0	0
16	Marek Hrivik	Penguins (PIT)		LW	4	0	0	0	-1	0	0	12	4	2	2	0.00%	0	13.:.37	0	0	0	0	3	0	0	33.33%	3	2	1	0	0	0.00	0	0
17	Tyler Motte	Penguins (PIT)		C/LW	4	0	0	0	-1	17	5	2	5	0	2	0.00%	0	09.:.03	0	0	0	0	0	0	0	31.58%	19	1	1	0	0	0.00	0	0
18	Alex Grant	Penguins (PIT)		D	4	0	0	0	2	22	10	6	2	6	1	0.00%	2	18.:.04	0	0	0	0	2	0	0	0.00%	0	1	3	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne		72	16	27	43	35	132	60	120	87	138	76	96	11.59%	51	1175	16.32	1	2	3	4	52	0	7	96	2	1	47.18%	195	94	64	0	1	0.73	0	0	3	1	7	1	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 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	Jeremy Smith	Penguins (PIT)	4	2	2	0	93.1%	2.32	207	0	0	8	116	80	0	0.0%	0	4	0	1	0	0
2	Zachary Fucale	Penguins (PIT)	1	0	0	0	85.7%	1.88	32	0	0	1	7	5	0	0.0%	0	0	4	0	0	0
Stats d'équipe Total ou en Moyenne	5	2	2	0	0.927	2.25	240	0	0	9	123	85	0	0	0.000	4	4	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 Joueur	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Adam Erne	LW/RW	21	20.04.1995	Yes	210 Lbs	6 ft1	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Lien
Alex Grant	D	27	09.08.1989	No	205 Lbs	6 ft4	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Alexander Khokhlachev	C/LW	23	09.09.1993 7:55:29	Yes	184 Lbs	5 ft11	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Carter Rowney	C/RW	27	10.05.1989	No	201 Lbs	6 ft2	No	No	2	Pro & Farm	800,000$	0$	800,000$									Lien
Colin Smith	C/RW	23	20.06.1993	No	175 Lbs	5 ft10	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Lien
Conor Sheary	LW	24	08.06.1992 1:33:44	No	175 Lbs	5 ft9	No	No	1	Pro & Farm	1,300,000$	0$										Lien
Daniel Walcott	D	22	19.02.1994	Yes	161 Lbs	5 ft11	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
Jamie Oleksiak	D	23	21.12.1992 23:56:11	No	250 Lbs	6 ft7	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Jayson Megna	C/LW/RW	26	01.02.1990 8:24:28	No	195 Lbs	6 ft1	No	No	2	Pro & Farm	900,000$	0$	900,000$									Lien
Jeremy Smith	G	27	13.01.1989	No	178 Lbs	6 ft0	No	No	1	Pro & Farm	700,000$	0$										Lien
Jordan Oesterle	D	24	11.06.1992 1:34:17	No	182 Lbs	6 ft0	No	No	1	Pro & Farm	1,000,000$	0$										Lien
Justin Fontaine	RW	28	06.11.1987	No	175 Lbs	5 ft10	No	No	2	Pro & Farm	600,000$	0$	600,000$									Lien
Marek Hrivik	LW	25	28.08.1991 14:54:11	No	200 Lbs	6 ft2	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Lien
Mike Reilly	D	23	13.07.1993 16:55:52	No	156 Lbs	5 ft11	No	No	2	Pro & Farm	1,100,000$	0$	1,100,000$									Lien
Nick Ebert	D	22	11.05.1994	Yes	203 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
Nick Paul	C/LW	21	20.03.1995 14:20:34	No	203 Lbs	6 ft2	No	No	3	Pro & Farm	1,100,000$	0$	1,100,000$	1,100,000$								Lien
Nikita Soshnikov	LW/RW	23	14.10.1993 3:20:41	Yes	183 Lbs	5 ft11	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Lien
Quinton Howden	LW/RW	24	21.01.1992 4:07:11	No	189 Lbs	6 ft2	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Richard Panik	LW/RW	24	07.02.1992 13:51:01	No	208 Lbs	6 ft1	No	No	1	Pro & Farm	900,000$	0$										Lien
Robert Bortuzzo (Sur la Masse Salariale)	D	27	18.03.1989	No	215 Lbs	6 ft4	No	No	2	Pro & Farm	1,600,000$	0$	1,600,000$									Lien
Tanner Kero	C/LW	24	24.07.1992 1:37:37	No	185 Lbs	6 ft0	No	No	2	Pro & Farm	1,100,000$	0$	1,100,000$									Lien
Taylor Leier	LW	22	15.02.1994	Yes	174 Lbs	5 ft10	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Lien
Troy Grosenick	G	27	27.08.1989	No	185 Lbs	6 ft1	No	No	2	Pro & Farm	700,000$	0$	700,000$									Lien
Tyler Motte	C/LW	21	10.03.1995 0:59:56	Yes	192 Lbs	5 ft9	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$
Viktor Svedberg	D	25	24.05.1991	No	238 Lbs	6 ft8	No	No	1	Pro & Farm	1,200,000$	0$										Lien
Zachary Fucale	G	21	28.05.1995 1:14:32	Yes	181 Lbs	6 ft1	No	No	7	Farm Only	100,000$	0$	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	24.00	192 Lbs	6 ft1	3.5384615384615	757,692$

Attaque à 5 contre 5
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Alexander Khokhlachev	Nikita Soshnikov	Justin Fontaine	40	0	1	4
2	Jayson Megna	Conor Sheary	Richard Panik	30	1	1	3
3	Tanner Kero	Marek Hrivik	Quinton Howden	20	1	2	2
4	Tyler Motte	Nick Paul	Carter Rowney	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jamie Oleksiak		40	1	2	2
2	Jordan Oesterle	Viktor Svedberg	30	1	2	2
3	Alex Grant	Mike Reilly	20	1	2	2
4	Jamie Oleksiak		10	1	2	2

Attaque en Avantage Numérique
Ligne #	Centre	Ailier Gauche	Ailier Droit	% Temps	PHY	DF	OF
1	Alexander Khokhlachev	Nikita Soshnikov	Justin Fontaine	60	1	2	2
2	Jayson Megna	Conor Sheary	Richard Panik	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jamie Oleksiak		60	1	2	2
2	Jordan Oesterle	Viktor Svedberg	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nikita Soshnikov	Justin Fontaine	60	1	2	2
2	Richard Panik	Alexander Khokhlachev	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jamie Oleksiak		60	1	2	2
2	Jordan Oesterle	Viktor Svedberg	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nikita Soshnikov	60	1	2	2	Jamie Oleksiak		60	1	2	2
2	Justin Fontaine	40	1	2	2	Jordan Oesterle	Viktor Svedberg	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nikita Soshnikov	Justin Fontaine	60	1	2	2
2	Richard Panik	Alexander Khokhlachev	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jamie Oleksiak		60	1	2	2
2	Jordan Oesterle	Viktor Svedberg	40	1	2	2

Attaque Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Alexander Khokhlachev	Nikita Soshnikov	Justin Fontaine	Jamie Oleksiak

Défense Dernière Minute
Centre	Ailier Gauche	Ailier Droit	Défense	Défense
Alexander Khokhlachev	Nikita Soshnikov	Justin Fontaine	Jamie Oleksiak

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Tyler Motte, Conor Sheary, Marek Hrivik	Tyler Motte, Conor Sheary	Marek Hrivik

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alex Grant, Mike Reilly, Jordan Oesterle	Alex Grant	Mike Reilly, Jordan Oesterle

Tirs de Pénalité
Nikita Soshnikov, Justin Fontaine, Richard Panik, Alexander Khokhlachev, Quinton Howden

Gardien
#1 : Jeremy Smith, #2 : Zachary Fucale

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	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Wolf Pack	1	1	0	2	1	1	2	1.000	2	4	6	10	2	4	29	46	46	46	36	11	35	27	5	1	20.00%	5	0	100.00%	35	76	46.05%	31	68	45.59%	26	51	50.98%	94	60	81	32	64	33
2	Bulldogs	1	1	0	12	1	11	2	1.000	12	20	32	10	2	4	41	46	46	46	31	12	15	30	0	0	0.00%	0	0	0.00%	35	76	46.05%	31	68	45.59%	26	51	50.98%	94	60	81	32	64	33
3	Monsters	1	0	1	1	2	-1	0	0.000	1	1	2	10	2	4	33	46	46	46	33	20	76	34	2	0	0.00%	4	0	100.00%	35	76	46.05%	31	68	45.59%	26	51	50.98%	94	60	81	32	64	33
4	Sharks	1	0	1	1	5	-4	0	0.000	1	2	3	10	2	4	35	46	46	46	23	8	6	29	0	0	0.00%	3	1	66.67%	35	76	46.05%	31	68	45.59%	26	51	50.98%	94	60	81	32	64	33
	Vs Division	1	1	0	12	1	11	2	1.000	12	20	32	10	2	4	41	46	46	46	31	12	15	30	0	0	0.00%	0	0	0.00%	35	76	46.05%	31	68	45.59%	26	51	50.98%	94	60	81	32	64	33
	Vs Conference	2	2	0	14	2	12	4	1.000	14	24	38	10	2	4	70	46	46	46	67	23	50	57	5	1	20.00%	5	0	100.00%	35	76	46.05%	31	68	45.59%	26	51	50.98%	94	60	81	32	64	33
	Since Last GM Reset	4	2	2	16	9	7	4	0.500	16	27	43	10	2	4	138	46	46	46	123	51	132	120	7	1	14.29%	12	1	91.67%	35	76	46.05%	31	68	45.59%	26	51	50.98%	94	60	81	32	64	33
	Total	4	2	2	16	9	7	4	0.500	16	27	43	10	2	4	138	46	46	46	123	51	132	120	7	1	14.29%	12	1	91.67%	35	76	46.05%	31	68	45.59%	26	51	50.98%	94	60	81	32	64	33

			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	L1	16	27	43	138	123	51	132	120	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	16	9

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	13	6

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	3	3

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
7	1	14.29%	12	1	91.67%	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
46	46	46	0	10	2	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
35	76	46.05%	31	68	45.59%	26	51	50.98%

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
94	60	81	32	64	33

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!
Sun, Nov 24	@	Penguins1,Monsters2	RECAP
Mon, Nov 25	@	Penguins2,Wolf Pack1	RECAP
Thu, Nov 28	@	Bulldogs1,Penguins12	RECAP
Fri, Nov 29	@	Sharks5,Penguins1	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
1,810,000$	1,100,000$	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