LAAHS - Red Wings

Grand Rapids Griffins
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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	Mark Scheifele	X		X		100.00	69	43	86	87	77	89	88	89	83	89	91	67	69	68	70	85	73	78	0
2	David Pastrnak		X	X		100.00	73	43	85	89	68	80	91	89	34	93	97	58	32	66	67	85	78	77	0
3	John Tavares (A)	X				100.00	69	43	87	85	75	81	99	81	96	86	94	62	58	77	79	85	80	77	2
4	Lars Eller	X	X	X		100.00	73	54	86	81	77	74	98	72	86	74	71	83	61	75	79	75	80	73	0
5	Nick Bonino	X				100.00	61	41	92	79	72	73	93	72	92	68	76	91	70	71	75	75	80	73	0
6	Matthew Nieto		X	X		100.00	71	43	95	81	69	67	86	63	50	74	60	89	25	67	69	70	79	69	0
7	Daniel Carr		X	X		100.00	77	70	93	78	70	75	75	76	50	74	72	72	68	59	59	75	79	69	0
8	Brandon Dubinsky	X	X	X		100.00	89	67	83	78	77	63	79	60	95	61	59	83	56	81	84	68	79	68	0
9	Sam Gagner	X	X	X		100.00	69	43	86	76	72	68	92	74	61	70	64	62	61	78	79	71	79	68	0
10	Noel Acciari	X		X		100.00	96	71	81	70	73	65	83	60	69	59	67	84	25	58	59	68	80	66	0
11	Oscar Lindberg	X	X			100.00	84	45	85	80	74	63	76	64	56	65	70	64	25	62	63	70	79	65	0
12	John Carlson				X	100.00	69	43	87	85	80	93	98	97	25	85	65	85	75	75	80	77	79	79	0
13	Zdeno Chara (C)				X	100.00	78	78	74	72	98	83	85	61	25	53	51	93	57	98	99	64	79	76	0
14	Jeff Petry				X	100.00	88	46	89	84	77	88	99	81	25	69	58	79	25	73	74	74	79	76	0
15	Duncan Keith (A)				X	100.00	65	55	76	86	71	88	99	68	25	67	48	77	25	87	94	66	79	73	0
16	Sami Vatanen				X	100.00	79	43	86	88	66	84	78	77	25	63	51	83	75	66	68	68	73	72	0
17	Dylan DeMelo				X	100.00	81	44	87	77	73	78	87	63	25	56	47	81	25	63	64	64	79	69	0
18	Steven Santini				X	100.00	86	46	87	72	76	71	70	59	25	48	48	80	25	54	54	62	76	66	0
Rayé
1	Kasperi Kapanen		X	X		100.00	77	54	89	84	70	74	79	67	52	76	76	72	25	57	58	76	60	69	0
2	Slater Koekkoek				X	100.00	82	45	86	71	72	69	57	59	25	51	48	78	25	53	54	61	59	64	0

	MOYENNE D'ÉQUIPE					100.00	77	51	86	80	74	76	86	72	51	69	66	77	45	69	71	72	76	71

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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	Marc-Andre Fleury	100.00	81	83	83	70	77	84	70	82	83	81	85	80	85	80	80	78	0
2	Carter Hart (R)	100.00	75	75	71	68	76	75	62	77	86	76	95	46	46	75	79	70	0
Rayé
1	Scott Wedgewood	100.00	58	66	83	76	56	64	54	62	60	59	30	54	54	60	74	61	0

	MOYENNE D'ÉQUIPE	100.00	71	75	79	71	70	74	62	74	76	72	70	60	62	72	78	70

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter Laviolette	60	96	73	77	99	87	82	USA	50	1	1,155,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	S1	S2	S3
1	Mark Scheifele	Red Wings	C/RW	7	6	0	6	-5	2	6	5	34	14	17	17.65%	5	144	20.64	2	0	2	5	10	2	0	0	49.22%	128	9	1	1	0.83	0	0	1
2	John Tavares	Red Wings	C	5	1	4	5	-2	0	6	9	20	3	12	5.00%	1	96	19.40	0	2	2	1	7	0	0	0	44.96%	129	7	4	0	1.03	0	0	0
3	Sam Gagner	Red Wings	C/LW/RW	7	2	2	4	1	0	7	3	16	2	15	12.50%	1	81	11.70	0	0	0	0	0	3	1	0	31.58%	19	0	1	0	0.98	1	0	0
4	Jeff Petry	Red Wings	D	7	1	3	4	-1	2	6	11	10	6	3	10.00%	13	147	21.09	0	0	0	0	10	7	0	1	0.00%	0	2	5	0	0.54	0	0	0
5	Matthew Nieto	Red Wings	LW/RW	7	0	3	3	-3	2	11	11	15	5	8	0.00%	1	132	18.96	0	0	0	1	9	7	0	0	42.86%	7	4	2	0	0.45	0	0	0
6	David Pastrnak	Red Wings	LW/RW	5	0	2	2	-5	0	7	7	22	8	12	0.00%	1	101	20.28	0	1	1	4	6	1	0	0	37.50%	8	4	4	0	0.39	0	0	0
7	John Carlson	Red Wings	D	7	0	2	2	-3	2	12	14	23	11	6	0.00%	15	182	26.05	0	0	0	2	11	10	0	0	0.00%	0	8	5	0	0.22	0	0	0
8	Lars Eller	Red Wings	C/LW/RW	7	0	2	2	-4	0	6	11	6	4	9	0.00%	3	136	19.53	0	0	0	0	4	3	0	0	71.43%	7	3	4	0	0.29	0	0	0
9	Oscar Lindberg	Red Wings	C/LW	7	1	1	2	0	0	6	2	9	4	6	11.11%	0	59	8.49	0	0	0	0	0	0	0	0	25.00%	4	2	1	0	0.67	0	0	0
10	Brandon Dubinsky	Red Wings	C/LW/RW	7	1	0	1	2	2	8	6	5	1	7	20.00%	3	106	15.26	0	0	0	0	0	6	0	0	33.33%	12	0	3	0	0.19	0	0	0
11	Duncan Keith	Red Wings	D	7	0	1	1	-1	4	6	13	5	3	1	0.00%	5	144	20.57	0	0	0	0	8	5	0	0	0.00%	0	2	7	0	0.14	0	0	0
12	Daniel Carr	Red Wings	LW/RW	7	1	0	1	-1	0	4	4	25	10	15	4.00%	3	116	16.59	0	0	0	0	6	0	0	0	14.29%	7	6	4	0	0.17	0	1	0
13	Zdeno Chara	Red Wings	D	7	0	1	1	-4	4	5	10	8	6	1	0.00%	19	163	23.40	0	0	0	0	9	10	0	0	0.00%	0	1	8	0	0.12	0	0	0
14	Dylan DeMelo	Red Wings	D	7	1	0	1	0	2	3	6	4	2	3	25.00%	5	97	13.99	0	0	0	0	0	2	1	0	0.00%	0	0	1	0	0.20	0	0	1
15	Noel Acciari	Red Wings	C/RW	7	0	1	1	0	2	6	8	4	2	4	0.00%	0	71	10.20	0	0	0	0	0	0	0	0	50.00%	4	0	0	0	0.28	0	0	0
16	Kasperi Kapanen	Red Wings	LW/RW	6	1	0	1	-3	0	6	10	17	4	10	5.88%	4	113	18.92	0	0	0	1	7	4	1	0	16.67%	18	3	1	0	0.18	0	0	1
17	Sami Vatanen	Red Wings	D	7	0	1	1	0	2	4	3	1	2	3	0.00%	6	98	14.02	0	0	0	0	0	3	0	0	0.00%	0	0	5	0	0.20	0	0	0
18	Slater Koekkoek	Red Wings	D	2	0	0	0	-2	0	0	1	0	0	1	0.00%	1	12	6.38	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0
19	Steven Santini	Red Wings	D	7	0	0	0	-1	0	2	5	0	0	0	0.00%	1	30	4.39	0	0	0	0	0	1	0	0	0.00%	0	1	1	0	0.00	0	0	0
20	Nick Bonino	Red Wings	C	7	0	0	0	2	0	5	9	12	3	8	0.00%	6	128	18.42	0	0	0	0	6	9	0	0	40.54%	74	6	1	0	0.00	0	0	0
Stats d'équipe Total ou en Moyenne				130	15	23	38	-30	24	116	148	236	90	141	6.36%	93	2167	16.68	2	3	5	14	100	81	3	1	42.93%	417	58	58	1	0.35	1	1	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	PCT	GAA	MP	GA	SA	SAR	A	EG	ST	S1	S2
1	Marc-Andre Fleury	Red Wings	6	3	3	0.918	2.71	377	17	207	91	1	0	6	2	1
2	Scott Wedgewood	Red Wings	1	0	1	0.933	2.03	59	2	30	17	0	1	1	0	0
Stats d'équipe Total ou en Moyenne			7	3	4	0.920	2.61	437	19	237	108	1	1	7	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 Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Link
Brandon Dubinsky	Red Wings	C/LW/RW	32	1986-04-28	No	205 Lbs	6 ft2	No	No	No	1	Pro & Farm	5,850,000$	5,850,000$	0$	No				Lien
Carter Hart	Red Wings	G	19	1998-08-12	Yes	180 Lbs	6 ft1	No	No	No	3	Pro & Farm	730,833$	730,833$	0$	No	730,833$	730,833$		Lien
Daniel Carr	Red Wings	LW/RW	26	1991-11-01	No	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	No				Lien
David Pastrnak	Red Wings	LW/RW	22	1996-05-25	No	188 Lbs	6 ft0	No	No	No	4	Pro & Farm	6,666,667$	6,666,667$	0$	No	6,666,667$	6,666,667$	6,666,667$	Lien
Duncan Keith	Red Wings	D	34	1983-07-16	No	192 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,769,231$	2,769,231$	0$	No				Lien
Dylan DeMelo	Red Wings	D	25	1993-05-01	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	No				Lien
Jeff Petry	Red Wings	D	30	1987-12-09	No	208 Lbs	6 ft3	No	No	No	1	Pro & Farm	2,750,000$	2,750,000$	0$	No				Lien
John Carlson	Red Wings	D	28	1990-01-10	No	218 Lbs	6 ft3	No	No	No	4	Pro & Farm	8,000,000$	8,000,000$	0$	No	8,000,000$	8,000,000$	8,000,000$	Lien
John Tavares	Red Wings	C	27	1990-09-20	No	208 Lbs	6 ft1	No	No	No	4	Pro & Farm	11,000,000$	11,000,000$	0$	No	11,000,000$	11,000,000$	11,000,000$	Lien
Kasperi Kapanen	Red Wings	LW/RW	21	1996-07-23	No	187 Lbs	6 ft1	No	No	No	3	Pro & Farm	3,200,000$	3,200,000$	0$	No	3,200,000$	3,200,000$		Lien
Lars Eller	Red Wings	C/LW/RW	29	1989-05-07	No	207 Lbs	6 ft2	No	No	No	4	Pro & Farm	3,500,000$	3,500,000$	0$	No	3,500,000$	3,500,000$	3,500,000$	Lien
Marc-Andre Fleury	Red Wings	G	33	1984-11-28	No	180 Lbs	6 ft2	No	No	No	3	Pro & Farm	6,933,334$	6,933,334$	0$	No	6,933,334$	6,933,334$		Lien
Mark Scheifele	Red Wings	C/RW	25	1993-03-14	No	207 Lbs	6 ft3	No	No	No	2	Pro & Farm	6,125,000$	6,125,000$	0$	No	6,125,000$			Lien
Matthew Nieto	Red Wings	LW/RW	25	1992-11-05	No	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,975,000$	1,975,000$	0$	No				Lien
Nick Bonino	Red Wings	C	30	1988-04-20	No	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	4,100,000$	4,100,000$	0$	No	4,100,000$			Lien
Noel Acciari	Red Wings	C/RW	26	1992-03-31	No	208 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,666,666$	1,666,666$	0$	No	1,666,666$	1,666,666$		Lien
Oscar Lindberg	Red Wings	C/LW	26	1991-10-28	No	202 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	0$	No				Lien
Sam Gagner	Red Wings	C/LW/RW	28	1989-08-09	No	200 Lbs	5 ft11	No	No	No	1	Pro & Farm	3,150,000$	3,150,000$	0$	No				Lien
Sami Vatanen	Red Wings	D	27	1991-06-03	No	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	4,875,000$	4,875,000$	0$	No				Lien
Scott Wedgewood	Red Wings	G	25	1992-08-14	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	No				Lien
Slater Koekkoek	Red Wings	D	24	1994-02-18	No	193 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	No				Lien
Steven Santini	Red Wings	D	23	1995-03-07	No	205 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,416,666$	1,416,666$	0$	No	1,416,666$			Lien
Zdeno Chara	Red Wings	D	41	1977-03-18	No	250 Lbs	6 ft11	No	No	No	1	Pro & Farm	1,875,000$	1,875,000$	0$	No				Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	27.22	200 Lbs	6 ft1	2.00	3,559,061$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
81,858,397$	53,339,166$	41,697,500$	29,166,667$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	David Pastrnak	Mark Scheifele	Lars Eller	39	1	0	4
2	Daniel Carr	John Tavares	Matthew Nieto	33	1	1	3
3	Sam Gagner	Nick Bonino	Brandon Dubinsky	20	0	5	0
4	Oscar Lindberg	John Tavares	Noel Acciari	8	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Zdeno Chara	36	1	3	1
2	Jeff Petry	Duncan Keith	33	1	2	2
3	Sami Vatanen	Dylan DeMelo	23	1	4	0
4	Steven Santini	John Carlson	8	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	David Pastrnak	John Tavares	Mark Scheifele	60	1	0	4
2	Lars Eller	Nick Bonino	Matthew Nieto	40	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Jeff Petry	60	1	0	4
2	Zdeno Chara	Duncan Keith	40	1	0	4

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Nick Bonino	Matthew Nieto	60	1	4	0
2	Brandon Dubinsky	Lars Eller	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Zdeno Chara	60	1	4	0
2	Jeff Petry	Sami Vatanen	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Nick Bonino	60	1	4	0	John Carlson	Zdeno Chara	60	1	4	0
2	Brandon Dubinsky	40	1	4	0	Jeff Petry	Sami Vatanen	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Mark Scheifele	David Pastrnak	56	1	1	3
2	John Tavares	Nick Bonino	44	1	1	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	John Carlson	Zdeno Chara	57	1	2	2
2	Jeff Petry	Duncan Keith	43	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
David Pastrnak	John Tavares	Mark Scheifele	John Carlson	Jeff Petry

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Matthew Nieto	Nick Bonino	Lars Eller	Sami Vatanen	Zdeno Chara

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Daniel Carr, Brandon Dubinsky, Sam Gagner	Daniel Carr, Brandon Dubinsky	Sam Gagner

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Sami Vatanen, Dylan DeMelo, Steven Santini	Sami Vatanen	Dylan DeMelo, Steven Santini

Tirs de Pénalité
Mark Scheifele, David Pastrnak, John Tavares, Nick Bonino, Lars Eller

Gardien
#1 : Marc-Andre Fleury, #2 : Carter Hart

Lignes d'Attaque Perso. en Prol.
Mark Scheifele, David Pastrnak, John Tavares, Nick Bonino, Lars Eller, Sam Gagner, Sam Gagner, Matthew Nieto, Brandon Dubinsky, Daniel Carr, Noel Acciari

Lignes de Défense Perso. en Prol.
John Carlson, Jeff Petry, Zdeno Chara, Duncan Keith, Sami Vatanen

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

	Ligue												Domicile											Visiteur
#	VS Équipe	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	PCT	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
1	Sharks	7	3	4	0	0	0	0	0	15	20	-5	3	3	0	0	0	0	0	0	8	3	5	4	0	4	0	0	0	0	0	7	17	-10	6	0.429	15	23	38	1	0	4	4	6	1	236	69	70	83	14	238	93	24	116	12	2	16.67%	12	1	91.67%	0	65	160	40.63%	70	163	42.94%	44	94	46.81%	150	85	158	63	128	65
	Total	7	3	4	0	0	0	0	0	15	20	-5	3	3	0	0	0	0	0	0	8	3	5	4	0	4	0	0	0	0	0	7	17	-10	6	0.429	15	23	38	1	0	4	4	6	1	236	69	70	83	14	238	93	24	116	12	2	16.67%	12	1	91.67%	0	65	160	40.63%	70	163	42.94%	44	94	46.81%	150	85	158	63	128	65
	_Since Last GM Reset	7	3	4	0	0	0	0	0	15	20	-5	3	3	0	0	0	0	0	0	8	3	5	4	0	4	0	0	0	0	0	7	17	-10	6	0.429	15	23	38	1	0	4	4	6	1	236	69	70	83	14	238	93	24	116	12	2	16.67%	12	1	91.67%	0	65	160	40.63%	70	163	42.94%	44	94	46.81%	150	85	158	63	128	65
	_Vs Conference	7	3	4	0	0	0	0	0	15	20	-5	3	3	0	0	0	0	0	0	8	3	5	4	0	4	0	0	0	0	0	7	17	-10	6	0.429	15	23	38	1	0	4	4	6	1	236	69	70	83	14	238	93	24	116	12	2	16.67%	12	1	91.67%	0	65	160	40.63%	70	163	42.94%	44	94	46.81%	150	85	158	63	128	65
	_Vs Division	7	3	4	0	0	0	0	0	15	20	-5	3	3	0	0	0	0	0	0	8	3	5	4	0	4	0	0	0	0	0	7	17	-10	6	0.429	15	23	38	1	0	4	4	6	1	236	69	70	83	14	238	93	24	116	12	2	16.67%	12	1	91.67%	0	65	160	40.63%	70	163	42.94%	44	94	46.81%	150	85	158	63	128	65

			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	L1	15	23	38	236	238	93	24	116	1	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	15	20

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	3	0	0	0	0	0	8	3

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	7	17

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	4	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
12	2	16.67%	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
69	70	83	14	4	4	6	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
65	160	40.63%	70	163	42.94%	44	94	46.81%

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
150	85	158	63	128	65

Derniers Match Joués 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

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	Lien
1 - 2019-10-04	3	Red Wings	1	Sharks	3	L		Sommaire du Match
2 - 2019-10-05	11	Red Wings	1	Sharks	4	L		Sommaire du Match
3 - 2019-10-06	19	Sharks	1	Red Wings	3	W		Sommaire du Match
4 - 2019-10-07	27	Sharks	1	Red Wings	2	W	X	Sommaire du Match
5 - 2019-10-08	35	Red Wings	1	Sharks	3	L		Sommaire du Match
6 - 2019-10-09	43	Sharks	1	Red Wings	3	W		Sommaire du Match
7 - 2019-10-10	51	Red Wings	4	Sharks	7	L		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	130	85	50	25	250
Assistance	13,263	11,483	4,610	10,552	2,205
Attendance PCT	73.68%	76.55%	76.83%	87.93%	73.50%

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	14038 - 77.99%	1,860,412$	5,581,235$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	81,858,397$	65,241,730$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	23	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$	30,192,844$	30,192,844$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

David Pastrnak	AGE:22	PO:85	OV:77
Lars Eller	AGE:29	PO:75	OV:73
Kasperi Kapanen	AGE:21	PO:76	OV:69
Daniel Carr	AGE:26	PO:75	OV:69
Matthew Nieto	AGE:25	PO:70	OV:69
Sam Gagner	AGE:28	PO:71	OV:68
Brandon Dubinsky	AGE:32	PO:68	OV:68
Oscar Lindberg	AGE:26	PO:70	OV:65
*Henrik Borgstrom	AGE:20	PO:69	OV:63
Kyle Rau	AGE:25	PO:66	OV:63
Dmitrij Jaskin	AGE:25	PO:65	OV:63
Tomas Jurco	AGE:25	PO:65	OV:63
Markus Hannikainen	AGE:25	PO:64	OV:60
Sam Anas	AGE:25	PO:63	OV:59
Ross Johnston	AGE:24	PO:62	OV:59
Nikita Scherbak	AGE:22	PO:61	OV:58
Mackenzie MacEachern	AGE:24	PO:60	OV:55
Spencer Watson	AGE:22	PO:53	OV:52

Mark Scheifele	AGE:25	PO:85	OV:78
John Tavares	AGE:27	PO:85	OV:77
Lars Eller	AGE:29	PO:75	OV:73
Nick Bonino	AGE:30	PO:75	OV:73
Sam Gagner	AGE:28	PO:71	OV:68
Brandon Dubinsky	AGE:32	PO:68	OV:68
Noel Acciari	AGE:26	PO:68	OV:66
Oscar Lindberg	AGE:26	PO:70	OV:65
*Cody Glass	AGE:19	PO:59	OV:64
*Henrik Borgstrom	AGE:20	PO:69	OV:63
Kyle Rau	AGE:25	PO:66	OV:63
Lukas Sedlak	AGE:25	PO:65	OV:62
Joseph Blandisi	AGE:23	PO:64	OV:62
Sam Anas	AGE:25	PO:63	OV:59
Eric Cornel	AGE:22	PO:58	OV:57
*Tanner Kaspick	AGE:20	PO:54	OV:54
Tony Cameranesi	AGE:24	PO:55	OV:53

Mark Scheifele	AGE:25	PO:85	OV:78
David Pastrnak	AGE:22	PO:85	OV:77
Lars Eller	AGE:29	PO:75	OV:73
Kasperi Kapanen	AGE:21	PO:76	OV:69
Daniel Carr	AGE:26	PO:75	OV:69
Matthew Nieto	AGE:25	PO:70	OV:69
Sam Gagner	AGE:28	PO:71	OV:68
Brandon Dubinsky	AGE:32	PO:68	OV:68
Noel Acciari	AGE:26	PO:68	OV:66
Dmitrij Jaskin	AGE:25	PO:65	OV:63
Tomas Jurco	AGE:25	PO:65	OV:63
Jesse Puljujarvi	AGE:20	PO:64	OV:63
Joseph Blandisi	AGE:23	PO:64	OV:62
Sam Anas	AGE:25	PO:63	OV:59
Nikita Scherbak	AGE:22	PO:61	OV:58
Eric Cornel	AGE:22	PO:58	OV:57
Justin Holl	AGE:26	PO:56	OV:56
*Ty Ronning	AGE:20	PO:57	OV:53
Spencer Watson	AGE:22	PO:53	OV:52

Défense #1

Défense #2

Gardien

John Carlson	AGE:28	PO:77	OV:79
Jeff Petry	AGE:30	PO:74	OV:76
Zdeno Chara	AGE:41	PO:64	OV:76
Duncan Keith	AGE:34	PO:66	OV:73
Sami Vatanen	AGE:27	PO:68	OV:72
Dylan DeMelo	AGE:25	PO:64	OV:69
Steven Santini	AGE:23	PO:62	OV:66
Slater Koekkoek	AGE:24	PO:61	OV:64

Scott Harrington	AGE:25	PO:61	OV:63
Christian Djoos	AGE:23	PO:58	OV:60
Gabriel Carlsson	AGE:21	PO:54	OV:60
Reece Willcox	AGE:24	PO:54	OV:58
Justin Holl	AGE:26	PO:56	OV:56
*Dennis Gilbert	AGE:21	PO:51	OV:55
*David Sklenicka	AGE:21	PO:51	OV:54
*Jacob Cederholm	AGE:20	PO:48	OV:53

Marc-Andre Fleury	AGE:33	PO:80	OV:78
*Carter Hart	AGE:19	PO:75	OV:70
Scott Wedgewood	AGE:25	PO:60	OV:61

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
Alex Gudbranson	Red Wings
Daniel Sedin	Red Wings
David Gustafsson	Red Wings	2018	67
Demetrios Koumontzis	Red Wings	2018	133
GARRETT METCALF	Red Wings	2015	206
GUSTAV OLHAVER	Red Wings	2015	166
Henrik Sedin	Red Wings
J.J. Piccinich	Red Wings	2014	143
JOHN KUPSKY	Red Wings	2015	196
Jake Marchment	Red Wings	2014	173
Jeff Schultz	Red Wings
Jeremy Swayman	Red Wings	2017	144
LIAM DUNDA	Red Wings	2015	170
Lenni Killinen	Red Wings	2018	122
Logan Cockerill	Red Wings	2017	197
Mario Lucia	Red Wings
Martin Fehervary	Red Wings	2018	73
Matt Filipe	Red Wings	2016	76
Miska Kukkonen	Red Wings	2018	163
Morgan Barron	Red Wings	2017	187
Nathan Clurman	Red Wings	2016	190
Patrick Watling	Red Wings
Peter Thome	Red Wings	2016	191
Ryan Jones	Red Wings	2016	161
Ryan Mantha	Red Wings
SAMUEL DOVE-MCFALLS	Red Wings	2015	115
Samuel Kurker	Red Wings	2012	53
Seth Barton	Red Wings	2018	103
Tim Berni	Red Wings	2018	193
Tim Soderlund	Red Wings	2017	107
Victor Berglund	Red Wings	2017	208

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020		EDM DET NYR COL TOR		DET	DET	DET	DET	DET
2021	DET	DET	DET	DET	DET	DET	DET	DET
2022	DET	DET	DET	DET	DET	DET	DET	DET
2023	DET	DET	DET	DET	DET	DET	DET	DET
2024	DET	DET	DET	DET	DET	DET	DET	DET

[2020-05-08 13:14:38] - Red Wings was eliminated at round 1 of year 2019.
[2020-04-29 17:02:26] - Grand Rapids Griffins didn't make playoff for year 2019.
[2019-11-30 12:01:43] - Cody Glass was added to Red Wings.
[2019-10-30 19:55:08] - Dmitrij Jaskin signed with Red Wings for 1 300 000 $ for 1 year(s).
[2019-10-30 19:55:08] - Dmitrij Jaskin was added to Red Wings.
[2019-09-27 13:20:01] - John Tavares has been selected as assistant for Red Wings.
[2019-09-27 13:20:01] - Unknown Player is no longer as assistant for Red Wings.
[2019-09-27 13:20:01] - Duncan Keith has been selected as assistant for Red Wings.
[2019-09-27 13:20:01] - Brandon Dubinsky is no longer as assistant for Red Wings.
[2019-09-27 13:20:01] - Zdeno Chara has been selected as captain for Red Wings.
[2019-09-27 13:20:01] - John Tavares is no longer captain for Red Wings.
[2019-09-23 15:07:32] - Grand Rapids Griffins hired A.J. MacLean for 60 000 $ for 1 year(s).

[2020-05-08 13:14:38] Kasperi Kapanen from Red Wings is back from Sprained Right Ankle Injury.
[2020-05-08 13:14:38] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-05-08 13:14:31] Successfully loaded Red Wings lines done with STHS Client - 3.2.0.5
[2020-05-07 15:48:06] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-05-07 15:48:05] Game 43 - Kasperi Kapanen from Red Wings is injured (Sprained Right Ankle) and is out for 1 week.
[2020-05-06 18:51:42] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-05-06 18:51:30] Successfully loaded Red Wings lines done with STHS Client - 3.2.0.5
[2020-05-05 16:28:15] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-05-05 16:27:44] Successfully loaded Red Wings lines done with STHS Client - 3.2.0.5
[2020-05-04 16:35:10] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-05-04 16:34:06] Successfully loaded Red Wings lines done with STHS Client - 3.2.0.5
[2020-05-01 16:38:55] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-05-01 16:38:48] Auto Lines Function has been run for Red Wings.
[2020-04-30 19:03:01] Auto Lines Partial Function has been run for Red Wings.
[2020-04-30 19:01:11] Auto Lines Function has been run for Red Wings.
[2020-04-30 19:01:11] Auto Roster Partial Function has been run for Red Wings.
[2020-04-30 19:01:11] Scott Wedgewood of Red Wings was sent to pro.
[2020-04-30 19:01:11] Slater Koekkoek of Red Wings was sent to pro.
[2020-04-27 19:52:15] Marc-Andre Fleury from Red Wings suspended for 99 game(s)
[2020-04-27 19:35:16] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-04-27 19:34:29] Successfully loaded Red Wings lines done with STHS Client - 3.2.0.5
[2020-04-27 19:34:29] Scott Wedgewood of Red Wings was sent to farm.
[2020-04-27 19:34:29] Slater Koekkoek of Red Wings was sent down to farm.
[2020-04-24 15:18:41] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-04-24 15:18:38] Auto Lines Function has been run for Red Wings.
[2020-04-24 15:17:03] Scott Wedgewood of Red Wings was sent to pro.
[2020-04-24 15:04:45] Auto Lines Function has been run for Red Wings.
[2020-04-24 15:04:45] Auto Roster Partial Function has been run for Red Wings.
[2020-04-21 15:51:44] Successfully loaded Red Wings lines done with STHS Client - 3.2.0.5
[2020-04-21 15:51:44] Cody Glass of Red Wings was sent down to farm.
[2020-04-20 16:04:41] Auto Lines Partial Function has been run for Red Wings.
[2020-04-20 16:04:24] Dmitrij Jaskin of Red Wings was sent down to farm.
[2020-04-20 16:04:10] Scott Wedgewood of Red Wings was sent to farm.
[2020-04-20 16:04:04] Kyle Rau of Red Wings was sent down to farm.
[2020-04-20 16:04:01] Red Wings roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Maximum Players Limit Reached in Pro Team! Some errors will be automatically fixed.
[2020-04-20 16:04:00] Red Wings are expected to be over the salary cap by 720 063 $!
[2020-04-20 16:03:59] Maximum Pro Players Limit Reached for Red Wings!
[2020-04-17 15:34:13] Red Wings are expected to be over the salary cap by 720 063 $!
[2020-04-17 15:34:12] Maximum Pro Players Limit Reached for Red Wings!
[2020-04-17 15:32:51] Red Wings are expected to be over the salary cap by 720 063 $!
[2020-04-17 15:32:51] Maximum Pro Players Limit Reached for Red Wings!
[2020-04-17 15:32:43] Mark Scheifele from Red Wings is back from Exhaustion.
[2020-04-16 18:43:46] Maximum Pro Players Limit Reached for Red Wings!
[2020-04-16 18:43:28] Lars Eller from Red Wings is back from Exhaustion.
[2020-04-15 17:06:18] Maximum Pro Players Limit Reached for Red Wings!
[2020-04-15 17:05:47] Matthew Nieto from Red Wings is back from Exhaustion.
[2020-04-15 17:04:45] Nick Bonino from Red Wings is back from Exhaustion.
[2020-04-15 17:04:45] Both Red Wings and Grand Rapids Griffins lines for next game are empty. Current rosters/lines are not erased.
[2020-04-15 17:04:43] Mark Scheifele from Red Wings is injured from Exhaustion.
[2020-04-15 16:57:11] Auto Lines Partial Function has been run for Red Wings.

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
2016	82	29	39	0	3	4	4	3	244	263	-19	41	15	19	0	3	2	2	0	114	119	-5	41	14	20	0	0	2	2	3	130	144	-14	58	244	376	620	3	1	53	93	91	9	2635	789	913	910	47	2741	949	853	1759	195	44	22.56%	255	54	78.82%	8	953	1930	49.38%	988	2033	48.60%	573	1222	46.89%	1695	946	1789	765	1480	725
2017	82	27	32	0	10	5	5	3	236	242	-6	41	13	15	0	8	2	3	0	124	117	7	41	14	17	0	2	3	2	3	112	125	-13	54	236	377	613	3	2	49	93	79	15	2718	830	951	901	65	2778	966	471	1697	203	38	18.72%	231	46	80.09%	5	1011	1866	54.18%	1009	1950	51.74%	603	1148	52.53%	1775	1025	1759	745	1453	720
2018	82	40	23	0	6	3	6	4	268	218	50	41	18	11	0	4	2	4	2	138	110	28	41	22	12	0	2	1	2	2	130	108	22	80	268	439	707	3	0	77	101	78	18	2768	903	882	949	71	2738	872	403	1708	226	45	19.91%	178	34	80.90%	2	1030	1924	53.53%	1008	1908	52.83%	612	1140	53.68%	1770	1021	1759	734	1449	734
2019	82	41	27	0	4	2	4	4	266	229	37	41	20	17	0	1	1	1	1	123	113	10	41	21	10	0	3	1	3	3	143	116	27	104	266	436	702	4	1	63	96	99	12	2841	924	926	971	51	2607	912	486	1630	199	41	20.60%	210	47	77.62%	1	1032	1908	54.09%	1035	1893	54.68%	628	1184	53.04%	1813	1060	1705	734	1447	727
Total Saison Régulière	328	137	121	0	23	14	19	14	1014	952	62	164	66	62	0	16	7	10	3	499	459	40	164	71	59	0	7	7	9	11	515	493	22	296	1014	1628	2642	13	4	242	383	347	54	10962	3446	3672	3731	234	10864	3699	2213	6794	823	168	20.41%	874	181	79.29%	16	4026	7628	52.78%	4040	7784	51.90%	2416	4694	51.47%	7055	4054	7014	2980	5830	2907
2019	7	3	4	0	0	0	0	0	15	20	-5	3	3	0	0	0	0	0	0	8	3	5	4	0	4	0	0	0	0	0	7	17	-10	6	15	23	38	1	0	4	4	6	1	236	69	70	83	14	238	93	24	116	12	2	16.67%	12	1	91.67%	0	65	160	40.63%	70	163	42.94%	44	94	46.81%	150	85	158	63	128	65
Total Séries	7	3	4	0	0	0	0	0	15	20	-5	3	3	0	0	0	0	0	0	8	3	5	4	0	4	0	0	0	0	0	7	17	-10	6	15	23	38	1	0	4	4	6	1	236	69	70	83	14	238	93	24	116	12	2	16.67%	12	1	91.67%	0	65	160	40.63%	70	163	42.94%	44	94	46.81%	150	85	158	63	128	65