Profi League - Red Wings

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Stats d'équipe en Carrière

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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	Henrik Zetterberg (C)	X	X			100.00	61	30	95	82	84	92	98	89	85	58	48	62	75	99	99	0	78	74	0
2	Filip Forsberg		X	X		100.00	67	32	94	82	86	90	98	88	48	49	56	70	65	72	72	0	78	72	0
3	Frans Nielsen	X				100.00	62	30	96	76	80	87	97	84	86	48	49	72	74	89	89	0	78	71	0
4	Tyler Johnson	X				100.00	61	30	93	81	81	88	87	86	84	50	51	72	61	75	75	0	78	70	0
5	Gustav Nyquist	X	X			100.00	61	30	95	78	81	87	95	85	60	53	46	60	73	77	77	0	68	69	0
6	Victor Rask	X				100.00	59	30	97	76	83	87	98	85	83	49	48	63	59	70	75	0	78	69	0
7	Tomas Tatar	X	X	X		100.00	65	30	95	78	81	86	99	85	73	46	52	61	61	77	77	0	78	69	0
8	William Nylander (R)	X		X		100.00	57	30	95	75	79	84	85	80	69	54	51	60	58	60	60	0	71	66	0
9	Andreas Athanasiou (R)	X	X			100.00	59	40	95	71	77	76	76	78	59	43	51	64	71	60	60	0	79	64	0
10	Melker Karlsson		X			100.00	65	30	95	70	75	77	84	79	47	43	46	71	59	66	66	0	78	64	0
11	Magnus Paajarvi		X	X		100.00	61	30	96	68	77	76	60	77	48	41	45	63	58	75	75	0	63	62	0
12	Nick Deslauriers			X		100.00	89	92	65	60	62	59	92	58	51	40	40	68	50	60	65	0	64	60	0
13	P.K. Subban				X	100.00	75	39	89	86	87	92	87	89	34	53	45	79	60	82	82	0	77	76	0
14	Mike Green				X	100.00	72	30	92	84	87	90	90	88	33	49	46	74	61	90	90	0	78	75	0
15	Alexander Edler				X	100.00	78	30	91	78	83	92	84	82	57	46	43	81	59	89	94	0	76	74	0
16	Danny DeKeyser				X	100.00	74	30	93	74	79	88	98	81	34	41	41	81	58	76	76	0	78	71	0
17	Jonathan Ericsson				X	100.00	78	41	85	71	78	86	78	77	34	42	38	77	57	83	83	0	78	69	0
18	David Schlemko				X	100.00	69	30	96	73	77	84	81	78	34	47	40	76	58	77	77	0	51	69	0
Rayé
1	Luke Glendening	X		X		100.00	68	30	94	67	76	78	94	78	82	43	40	76	57	74	74	0	78	66	0
2	Landon Ferraro	X	X	X		100.00	73	68	84	70	68	63	63	63	79	36	39	66	59	53	54	0	65	58	0

	MOYENNE D'ÉQUIPE					100.00	68	37	92	75	79	83	87	81	59	47	46	70	62	75	76	0	74	68

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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	John Gibson (R)	100.00	79	96	89	88	76	81	81	81	81	79	81	74	74	0	78	81	0
2	Jimmy Howard	100.00	76	96	77	85	74	77	77	76	77	75	80	84	84	0	78	79	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	78	96	83	87	75	79	79	79	79	77	81	79	79	0	78	80

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mike Babcock	73	81	95	85	87	82	62	CAN	54	3	1,000,000$

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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	PSG	PSS
1	Tyler Johnson	Red Wings	C	7	3	2	5	2	0	0	9	28	13	10	10.71%	6	21.:.09	1	0	1	0	0	0	12	2	0	54.35%	92	20	7	0	0	0.68	0	0
2	Filip Forsberg	Red Wings	LW/RW	7	2	2	4	0	0	0	14	22	11	17	9.09%	3	22.:.50	1	1	2	0	0	0	12	0	0	21.43%	14	26	5	0	0	0.50	0	0
3	Henrik Zetterberg	Red Wings	C/LW	7	1	2	3	0	2	0	4	28	2	14	3.57%	6	20.:.30	0	1	1	0	0	0	0	0	0	49.19%	124	7	3	0	0	0.42	0	0
4	David Schlemko	Red Wings	D	7	1	2	3	3	0	0	7	8	0	4	12.50%	9	19.:.06	0	0	0	0	0	0	0	0	0	0.00%	0	0	10	0	0	0.45	1	1
5	Tomas Tatar	Red Wings	C/LW/RW	7	2	0	2	2	0	0	15	13	7	2	15.38%	2	18.:.23	0	0	0	0	0	0	0	0	1	50.00%	4	5	2	0	0	0.31	0	0
6	Nick Deslauriers	Red Wings	RW	7	0	1	1	-3	6	0	20	1	2	1	0.00%	1	12.:.21	0	0	0	0	0	0	0	0	0	33.33%	3	3	2	0	0	0.23	0	0
7	Jonathan Ericsson	Red Wings	D	7	0	1	1	-2	0	0	13	12	1	2	0.00%	7	21.:.30	0	0	0	0	0	0	15	0	0	0.00%	0	3	4	0	0	0.13	0	0
8	Gustav Nyquist	Red Wings	C/LW	7	0	1	1	-1	4	0	10	4	3	4	0.00%	1	18.:.53	0	0	0	0	0	0	0	0	0	22.22%	9	3	0	0	0	0.15	0	0
9	Andreas Athanasiou	Red Wings	C/LW	7	1	0	1	1	0	0	5	15	5	10	6.67%	4	15.:.33	0	0	0	0	0	0	0	1	0	66.67%	3	6	0	0	0	0.18	0	0
10	Frans Nielsen	Red Wings	C	7	0	1	1	-2	0	0	5	20	9	19	0.00%	5	17.:.16	0	0	0	0	0	0	13	0	0	51.81%	83	13	7	0	0	0.17	0	0
11	Alexander Edler	Red Wings	D	7	0	1	1	3	0	0	10	13	5	7	0.00%	15	20.:.58	0	0	0	0	0	0	9	0	0	0.00%	0	3	15	0	0	0.14	0	0
12	William Nylander	Red Wings	C/RW	6	0	1	1	0	2	0	1	8	3	11	0.00%	1	18.:.45	0	0	0	0	0	0	0	0	0	20.00%	5	11	4	0	0	0.18	0	0
13	P.K. Subban	Red Wings	D	7	0	1	1	-4	2	0	18	17	4	9	0.00%	17	26.:.11	0	1	1	0	0	0	7	0	0	0.00%	0	2	6	0	0	0.11	0	0
14	Magnus Paajarvi	Red Wings	LW/RW	6	0	0	0	-2	4	0	3	6	2	9	0.00%	2	16.:.16	0	0	0	0	0	0	0	0	0	0.00%	2	4	2	0	0	0.00	0	0
15	Melker Karlsson	Red Wings	LW	7	0	0	0	-4	0	0	4	6	2	8	0.00%	3	13.:.08	0	0	0	0	0	0	13	0	0	0.00%	4	8	1	0	0	0.00	0	0
16	Mike Green	Red Wings	D	7	0	0	0	-4	8	0	14	14	3	7	0.00%	13	23.:.27	0	0	0	0	0	0	0	0	0	0.00%	0	6	9	0	0	0.00	0	0
17	Danny DeKeyser	Red Wings	D	7	0	0	0	-2	0	0	8	11	6	6	0.00%	11	21.:.18	0	0	0	0	0	0	17	0	0	0.00%	0	1	12	0	0	0.00	0	0
18	Victor Rask	Red Wings	C	7	0	0	0	-3	0	0	3	10	9	14	0.00%	2	11.:.10	0	0	0	0	0	0	0	0	0	41.46%	41	10	0	0	0	0.00	0	0
19	Landon Ferraro	Red Wings	C/LW/RW	1	0	0	0	0	0	0	1	0	0	1	0.00%	1	09.:.47	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
Stats d'équipe Total ou en Moyenne			125	10	15	25	-16	28	0	164	153	236	87	155	4.24%	109	2346	18.77	2	3	5	10	123	0	0	0	3	100	3	1	47.40%	384	131	89	0	0	0.21	1	1	0	0	0	0	2	3

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	PS %	ST	BG	S1	S3
1	John Gibson	Red Wings	5	2	2	1	94.1%	1.86	354	11	185	105	0.0%	5	2	2	1
2	Jimmy Howard	Red Wings	2	1	1	0	95.2%	1.51	119	3	62	33	0.0%	2	5	1	0
Stats d'équipe Total ou en Moyenne			7	3	3	1	0.943	1.78	473	14	247	138	0.000	7	7	3	1

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Astuces sur les Filtres (Anglais seulement)

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

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	CONT	Status	Type	Salaire Actuel	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Alexander Edler	Red Wings	D	32	21.04.1986	No	214 Lbs	6 ft3	No	No	No	4	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$
Andreas Athanasiou	Red Wings	C/LW	23	06.08.1994	Yes	188 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	1,200,000$	1,200,000$
Danny DeKeyser	Red Wings	D	28	07.03.1990 4:10:00	No	192 Lbs	6 ft3	No	No	No	3	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$
David Schlemko	Red Wings	D	31	07.05.1987	No	190 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro Only	1,400,000$
Filip Forsberg	Red Wings	LW/RW	23	13.08.1994 4:03:12	No	205 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	5,100,000$	5,100,000$
Frans Nielsen	Red Wings	C	34	24.04.1984	No	188 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	3,500,000$
Gustav Nyquist	Red Wings	C/LW	28	01.09.1989 7:00:42	No	184 Lbs	5 ft11	Yes	No	No	3	Sans Restriction	Pro & Farm	4,000,000$	4,000,000$	4,000,000$
Henrik Zetterberg	Red Wings	C/LW	37	09.10.1980	No	197 Lbs	6 ft0	Yes	No	No	1	Sans Restriction	Pro & Farm	6,600,000$
Jimmy Howard	Red Wings	D	34	26.03.1984	No	218 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	2,500,000$
John Gibson	Red Wings	C/RW	24	14.07.1993 4:04:01	Yes	210 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$
Jonathan Ericsson	Red Wings	D	34	02.03.1984	No	220 Lbs	6 ft4	No	No	No	1	Sans Restriction	Pro & Farm	2,700,000$
Landon Ferraro	Red Wings	C/LW/RW	25	08.08.1992 19:32:40	No	186 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	1,000,000$				Lien
Luke Glendening	Red Wings	C/RW	29	28.04.1989	No	199 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro Only	1,400,000$
Magnus Paajarvi	Red Wings	LW/RW	27	12.04.1991	No	203 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	1,300,000$
Melker Karlsson	Red Wings	LW	27	18.07.1990	No	180 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro Only	1,400,000$	1,400,000$	1,400,000$
Mike Green	Red Wings	D	32	12.10.1985	No	207 Lbs	6 ft1	No	No	No	4	Sans Restriction	Pro & Farm	4,100,000$	4,100,000$	4,100,000$	4,100,000$
Nick Deslauriers	Red Wings	RW	27	22.02.1991 1:45:49	No	205 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro Only	600,000$	600,000$	600,000$		Lien
P.K. Subban	Red Wings	D	29	13.05.1989	No	210 Lbs	6 ft0	Yes	No	No	4	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$	6,000,000$	6,000,000$
Tomas Tatar	Red Wings	C/LW/RW	27	01.12.1990	No	185 Lbs	5 ft10	No	No	No	4	Sans Restriction	Pro & Farm	3,400,000$	3,400,000$	3,400,000$	3,400,000$
Tyler Johnson	Red Wings	C	27	29.07.1990	No	183 Lbs	5 ft8	Yes	No	No	2	Sans Restriction	Pro & Farm	6,000,000$	6,000,000$
Victor Rask	Red Wings	C	25	01.03.1993 11:31:57	No	200 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	2,700,000$	2,700,000$
William Nylander	Red Wings	C/RW	22	01.05.1996	Yes	190 Lbs	6 ft0	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,600,000$	1,600,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	28.41	198 Lbs	6 ft1	2.27	3,068,182$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
67,500,000$	50,600,000$	30,000,000$	17,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Gustav Nyquist	Henrik Zetterberg	Filip Forsberg	35	0	2	3
2	Tomas Tatar	Tyler Johnson	William Nylander	31	0	2	3
3	Andreas Athanasiou	Frans Nielsen	Magnus Paajarvi	25	1	2	2
4	Melker Karlsson	Victor Rask	Nick Deslauriers	9	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mike Green	P.K. Subban	38	1	1	3
2	David Schlemko	Alexander Edler	32	1	2	2
3	Danny DeKeyser	Jonathan Ericsson	30	1	3	1
4	Alexander Edler	P.K. Subban	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Gustav Nyquist	Henrik Zetterberg	Filip Forsberg	55	0	0	5
2	Tomas Tatar	Tyler Johnson	William Nylander	45	0	0	5

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Tyler Johnson	P.K. Subban	55	0	1	4
2	Mike Green	Filip Forsberg	45	0	1	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Tyler Johnson	Filip Forsberg	50	1	4	0
2	Frans Nielsen	Melker Karlsson	50	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander Edler	P.K. Subban	50	1	4	0
2	Danny DeKeyser	Jonathan Ericsson	50	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Frans Nielsen	50	1	4	0	Alexander Edler	P.K. Subban	50	1	4	0
2	Tyler Johnson	50	1	4	0	Danny DeKeyser	Jonathan Ericsson	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Henrik Zetterberg	Filip Forsberg	50	1	2	2
2	Tyler Johnson	William Nylander	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Alexander Edler	P.K. Subban	50	1	2	2
2	Danny DeKeyser	Mike Green	50	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Henrik Zetterberg	Tyler Johnson	Filip Forsberg	Mike Green	P.K. Subban

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Melker Karlsson	Tyler Johnson	Filip Forsberg	Alexander Edler	Danny DeKeyser

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Henrik Zetterberg, Filip Forsberg, Victor Rask	Filip Forsberg, Henrik Zetterberg	Melker Karlsson

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Alexander Edler, P.K. Subban, Danny DeKeyser	P.K. Subban	Alexander Edler, Danny DeKeyser

Tirs de Pénalité
Henrik Zetterberg, Frans Nielsen, Gustav Nyquist, Filip Forsberg, Tyler Johnson

Gardien
#1 : Jimmy Howard, #2 : John Gibson

Lignes d'Attaque Perso. en Prol.
Tyler Johnson, Filip Forsberg, Henrik Zetterberg, Gustav Nyquist, William Nylander, Tomas Tatar, Tomas Tatar, Frans Nielsen, Victor Rask, Andreas Athanasiou, Melker Karlsson

Lignes de Défense Perso. en Prol.
P.K. Subban, Alexander Edler, Mike Green, Danny DeKeyser, David Schlemko

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	GP4	SHF	SH1	SP2	SP3	SP4	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	Blackhawks	7	3	4	10	14	-4	6	0.429	10	15	25	1	7	1	1	236	66	74	67	29	247	109	28	164	14	2	14.29%	15	3	80.00%	67	157	42.68%	77	151	50.99%	38	76	50.00%	171	109	182	61	120	60
	Since Last GM Reset	7	3	4	10	14	-4	6	0.429	10	15	25	1	7	1	1	236	66	74	67	29	247	109	28	164	14	2	14.29%	15	3	80.00%	67	157	42.68%	77	151	50.99%	38	76	50.00%	171	109	182	61	120	60
	Total	7	3	4	10	14	-4	6	0.429	10	15	25	1	7	1	1	236	66	74	67	29	247	109	28	164	14	2	14.29%	15	3	80.00%	67	157	42.68%	77	151	50.99%	38	76	50.00%	171	109	182	61	120	60
	Vs Conference	7	3	4	10	14	-4	6	0.429	10	15	25	1	7	1	1	236	66	74	67	29	247	109	28	164	14	2	14.29%	15	3	80.00%	67	157	42.68%	77	151	50.99%	38	76	50.00%	171	109	182	61	120	60
	Vs Division	7	3	4	10	14	-4	6	0.429	10	15	25	1	7	1	1	236	66	74	67	29	247	109	28	164	14	2	14.29%	15	3	80.00%	67	157	42.68%	77	151	50.99%	38	76	50.00%	171	109	182	61	120	60

			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
7	6	L3	10	15	25	236	247	109	28	164	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	10	14

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	4	6

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	6	8

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	3	1	1	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
14	2	14.29%	15	3	80.00%	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
66	74	67	29	1	7	1	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
67	157	42.68%	77	151	50.99%	38	76	50.00%

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
171	109	182	61	120	60

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
Mon, Apr 21	@	Red Wings2,Blackhawks1	RECAP
Wed, Apr 23	@	Red Wings2,Blackhawks1	RECAP
Fri, Apr 25	@	Blackhawks1,Red Wings2 (OT)	RECAP
Sun, Apr 27	@	Blackhawks3,Red Wings2 (OT)	RECAP
Tue, Apr 29	@	Red Wings1,Blackhawks4	RECAP
Thu, May 1	@	Blackhawks2,Red Wings0	RECAP
Sat, May 3	@	Red Wings1,Blackhawks2	RECAP

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	7625	4013	5017	2007	1405
Prix des Billets	130	62	45	32	230
Assistance	16553	10663	11487	4318	3227
Attendance PCT	72.36%	88.57%	76.32%	71.72%	76.56%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
38	15416 - 76.82%	2,091,114$	6,273,343$	20067	100

Dépenses
Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
67,500,000$	9,802,500$	0$	0$

Dépenses Annuelles à Ce Jour	Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale
0$	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$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	8,303,243$	8,303,243$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Henrik Zetterberg	AGE:37	PO:0	OV:74
Filip Forsberg	AGE:23	PO:0	OV:72
Gustav Nyquist	AGE:28	PO:0	OV:69
Tomas Tatar	AGE:27	PO:0	OV:69
*Andreas Athanasiou	AGE:23	PO:0	OV:64
Melker Karlsson	AGE:27	PO:0	OV:64
Magnus Paajarvi	AGE:27	PO:0	OV:62
Landon Ferraro	AGE:25	PO:0	OV:58
Brendan Ranford	AGE:26	PO:0	OV:57
Patrice Cormier	AGE:27	PO:0	OV:57
*Teemu Pulkkinen	AGE:25	PO:0	OV:56
*Tyler Bertuzzi	AGE:23	PO:0	OV:56
*Markus Hannikainen	AGE:25	PO:0	OV:55
Mitch Callahan	AGE:26	PO:0	OV:53
Nick Saracino	AGE:26	PO:0	OV:50

Henrik Zetterberg	AGE:37	PO:0	OV:74
Frans Nielsen	AGE:34	PO:0	OV:71
Tyler Johnson	AGE:27	PO:0	OV:70
Gustav Nyquist	AGE:28	PO:0	OV:69
Victor Rask	AGE:25	PO:0	OV:69
Tomas Tatar	AGE:27	PO:0	OV:69
*William Nylander	AGE:22	PO:0	OV:66
Luke Glendening	AGE:29	PO:0	OV:66
*Andreas Athanasiou	AGE:23	PO:0	OV:64
Andrej Nestrasil	AGE:27	PO:0	OV:58
Landon Ferraro	AGE:25	PO:0	OV:58
Patrice Cormier	AGE:27	PO:0	OV:57
*Lucas Wallmark	AGE:22	PO:0	OV:56
*Dominic Turgeon	AGE:22	PO:0	OV:55
*Joseph LaBate	AGE:25	PO:0	OV:55
*Jean-Sebastien Dea	AGE:24	PO:0	OV:55
*Alex Tuch	AGE:22	PO:0	OV:54
Nick Saracino	AGE:26	PO:0	OV:50
*Tony Cameranesi	AGE:24	PO:0	OV:49

Filip Forsberg	AGE:23	PO:0	OV:72
Tomas Tatar	AGE:27	PO:0	OV:69
*William Nylander	AGE:22	PO:0	OV:66
Luke Glendening	AGE:29	PO:0	OV:66
Magnus Paajarvi	AGE:27	PO:0	OV:62
Nick Deslauriers	AGE:27	PO:0	OV:60
Landon Ferraro	AGE:25	PO:0	OV:58
Brendan Ranford	AGE:26	PO:0	OV:57
*Tomas Jurco	AGE:25	PO:0	OV:57
Mitch Callahan	AGE:26	PO:0	OV:53

Défense #1

Défense #2

Gardien

P.K. Subban	AGE:29	PO:0	OV:76
Mike Green	AGE:32	PO:0	OV:75
Alexander Edler	AGE:32	PO:0	OV:74
Danny DeKeyser	AGE:28	PO:0	OV:71
Jonathan Ericsson	AGE:34	PO:0	OV:69
David Schlemko	AGE:31	PO:0	OV:69
*Nick Jensen	AGE:27	PO:0	OV:68
Darnell Nurse	AGE:23	PO:0	OV:67
*Scott Mayfield	AGE:25	PO:0	OV:60

Griffin Reinhart	AGE:24	PO:0	OV:57
Andrew Bodnarchuk	AGE:29	PO:0	OV:55
David Musil	AGE:25	PO:0	OV:55
Jaime Sifers	AGE:35	PO:0	OV:55
Kenney Morrison	AGE:26	PO:0	OV:53
Julien Brouillette	AGE:31	PO:0	OV:53
Paul Geiger	AGE:25	PO:0	OV:53
Bryce Aneloski	AGE:28	PO:0	OV:53
Patrick Mullen	AGE:32	PO:0	OV:53

*John Gibson	AGE:24	PO:0	OV:81
Jimmy Howard	AGE:34	PO:0	OV:79
*Kristers Gudlevskis	AGE:25	PO:0	OV:67
*Jean-Francois Berube	AGE:25	PO:0	OV:67
Marek Mazanec	AGE:26	PO:0	OV:66
Tom McCollum	AGE:29	PO:0	OV:61
Mac Carruth	AGE:26	PO:0	OV:49

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total
Adam Smith	Red Wings	2016	216
Alex Dostie	Red Wings	2015	169
Brandon Gignac	Red Wings	2016	78
Brayden Chizen	Red Wings	2016	227
Brent Pedersen	Red Wings	2013	170
Carsen Twarynski	Red Wings	2016	123
Colin White	Red Wings	2015	18
Collin Olson	Red Wings	2012	181
Cooper Marody	Red Wings	2015	124
Danick Gauthier	Red Wings
Dante Salituro	Red Wings	2015	165
Dylan Samberg	Red Wings	2017	74
Evan Fitzpatrick	Red Wings	2016	47
Givani Smith	Red Wings	2016	72
Henri Kiviaho	Red Wings	2012	206
Hudson Elynuik	Red Wings	2016	107
Jake Bean	Red Wings	2016	17
Jake Paterson	Red Wings	2012	176
Jakob Forsbacka-Karlsson	Red Wings	2015	43
Johan Gustafsson	Red Wings
John Marino	Red Wings	2015	195
Jonas Rondbjerg	Red Wings	2017	97
Kasper Kotkansalo	Red Wings	2017	89
Logan McVeigh	Red Wings	2013	164
Logan Stanley	Red Wings	2016	49
Marcus Karlstrom	Red Wings	2013	194
Mathieu Joseph	Red Wings	2015	190
Matt Filipe	Red Wings	2016	159
Mattias Elfstrom	Red Wings	2016	214
Oskari Laaksonen	Red Wings	2017	180
Ryan Collins	Red Wings	2014	69
Sondre Olden	Red Wings
Tim McGauley	Red Wings	2015	221
Troy Vance	Red Wings	2011	162
Wouter Peeters	Red Wings	2016	146
Zach Nastiuk	Red Wings
missed pick	Red Wings	2017	187
missed pick	Red Wings	2017	188

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2018	DET	DET	CGY DET NYR	DET	DET	DET
2019	DET	DET	DET NJD	DET	DET NJD	DET	DET
2020	DET	DET	DET	DET	DET	DET	DET
2021	DET	DET	DET	DET	DET	DET	DET
2022	DET	DET	DET	DET	DET	DET	DET

[06.04.2018 21:17:32] - Griffins was eliminated at round 1 of year 2017.
[06.04.2018 21:17:32] - Red Wings was eliminated at round 1 of year 2017.
[24.02.2018 20:04:58] - TRADE : From Penguins to Red Wings : David Schlemko (69).
[24.02.2018 20:04:58] - TRADE : From Red Wings to Penguins : Y:2018-RND:7-DET, Y:2018-RND:7-CHI.
[24.02.2018 20:04:56] - David Schlemko was added to Red Wings.
[21.02.2018 20:40:00] - TRADE : From Red Wings to Devils : Sven Andrighetto (62).
[21.02.2018 20:40:00] - TRADE : From Devils to Red Wings : Y:2019-RND:3-NJD, Y:2019-RND:5-NJD.
[14.01.2018 20:56:08] - TRADE : From Blackhawks to Red Wings : 3 000 000 Kč (Money), Y:2018-RND:7-CHI.
[14.01.2018 20:56:08] - TRADE : From Red Wings to Blackhawks : Y:2018-RND:5-NJD.
[09.01.2018 20:54:12] - TRADE : From Wild to Red Wings : 5 000 000 Kč (Money).
[20.10.2017 20:54:12] - TRADE : From Devils to Red Wings : Y:2018-RND:5-NJD.
[20.10.2017 20:54:12] - TRADE : From Red Wings to Devils : Darren Helm (66).

[16.05.2018 20:45:08] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[11.05.2018 20:49:41] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[10.05.2018 23:05:00] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[26.04.2018 20:35:09] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[24.04.2018 20:34:44] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[23.04.2018 20:40:28] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[18.04.2018 21:12:41] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[18.04.2018 20:55:34] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[16.04.2018 21:01:34] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[16.04.2018 20:47:46] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[13.04.2018 21:14:18] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[13.04.2018 21:02:46] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[12.04.2018 21:16:12] Luke Glendening from Red Wings is back from Left Knee Injury.
[12.04.2018 21:16:02] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[12.04.2018 20:31:00] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[10.04.2018 20:46:32] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[10.04.2018 20:34:53] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[09.04.2018 21:23:54] Teemu Pulkkinen from Griffins is back from Bruised Left Leg Injury.
[09.04.2018 21:20:37] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[06.04.2018 21:17:32] Griffins lines for next game are empty. Current rosters/lines are not erased. But, Red Wings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[06.04.2018 21:17:32] Last 7 Days Farm Star : 1 - Trevor van Riemsdyk of Wolves (6-4-10) / 2 - Darnell Nurse of Griffins (6-1-7) / 3 - Shea Theodore of Wolves (4-4-8)
[06.04.2018 21:17:32] Game 54 - Teemu Pulkkinen from Griffins is injured (Bruised Left Leg) and is out for 1 week.
[06.04.2018 21:17:26] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[06.04.2018 20:32:48] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[04.04.2018 20:45:03] Griffins lines for next game are empty. Current rosters/lines are not erased. But, Red Wings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[04.04.2018 20:44:43] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[04.04.2018 20:31:00] Griffin Reinhart from Griffins is back from Sprained Left Knee Injury.
[04.04.2018 20:30:45] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[02.04.2018 20:58:33] Gustav Nyquist from Red Wings is back from Bruised Right Arm Injury.
[02.04.2018 20:58:33] Griffins lines for next game are empty. Current rosters/lines are not erased. But, Red Wings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[02.04.2018 20:58:32] Game 38 - Gustav Nyquist from Red Wings is injured (Bruised Right Arm) and is out for 5 days.
[02.04.2018 20:58:25] Auto Lines Partial Function has been run for Griffins.
[02.04.2018 20:58:25] Griffins (Red Wings) lines errors : Normal line # 2 Defense #2 is empty. PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. OT Defense #4 is empty.
[02.04.2018 20:58:20] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[02.04.2018 20:57:48] Auto Lines Partial Function has been run for Griffins.
[02.04.2018 20:57:48] Griffins (Red Wings) lines errors : Normal line # 2 Defense #2 is empty. PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. OT Defense #4 is empty.
[02.04.2018 20:53:02] Successfully loaded Red Wings lines done with STHS Client - 3.1.2.2
[30.03.2018 21:53:23] Griffins lines for next game are empty. Current rosters/lines are not erased. But, Red Wings lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[30.03.2018 21:53:22] Game 30 - Griffin Reinhart from Griffins is injured (Sprained Left Knee) and is out for 1 week.

Pas de Blessure ou de Suspension.

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
Saison Régulière
2017	82	35	25	0	9	8	2	3	209	180	29	41	19	11	0	5	5	1	0	106	85	21	41	16	14	0	4	3	1	3	103	95	8	70	209	339	548	1	4	65	66	67	13	2475	835	801	815	42	2499	1034	306	1906	147	43	29.25%	154	32	79.22%	2	700	1385	50.54%	730	1397	52.25%	492	925	53.19%	1923	1282	1821	619	1226	624
Total Saison Régulière	82	35	25	0	9	8	2	3	209	180	29	41	19	11	0	5	5	1	0	106	85	21	41	16	14	0	4	3	1	3	103	95	8	70	209	339	548	1	4	65	66	67	13	2475	835	801	815	42	2499	1034	306	1906	147	43	29.25%	154	32	79.22%	2	700	1385	50.54%	730	1397	52.25%	492	925	53.19%	1923	1282	1821	619	1226	624
2017	7	3	4	0	0	0	0	0	10	14	-4	3	1	2	0	0	0	0	0	4	6	-2	4	2	2	0	0	0	0	0	6	8	-2	6	10	15	25	0	0	1	7	1	1	236	66	74	67	29	247	109	28	164	14	2	14.29%	15	3	80.00%	0	67	157	42.68%	77	151	50.99%	38	76	50.00%	171	109	182	61	120	60
Total Séries	7	3	4	0	0	0	0	0	10	14	-4	3	1	2	0	0	0	0	0	4	6	-2	4	2	2	0	0	0	0	0	6	8	-2	6	10	15	25	0	0	1	7	1	1	236	66	74	67	29	247	109	28	164	14	2	14.29%	15	3	80.00%	0	67	157	42.68%	77	151	50.99%	38	76	50.00%	171	109	182	61	120	60