LHSRSM - Red Wings

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Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Patrick Auger
	Entraîneur	D.J. Smith
	Division	Atlantique
	Conférence	Est
	Capitaine	Auston Matthews
	Assistant #1	Jeff Carter
	Assistant #2	Anton Stralman
Informations de l’aréna
	Nom	Little Caesars Arena
	Capacité	18,000
	Assistance
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	17
	Limite contact	37 / 250
	Espoirs	30
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	81,500,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	980,408,204$
	Compte bancaire projeté	980,408,204$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	373-277-86 (0.507%)
	Apparitions en séries éliminatoires	5
	Historique en séries éliminatoires (W-L)	25-26
	Coupe Stanley	0

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

#	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	Âge	Contrat	Salaire
1	Auston Matthews (C)	X				100.00	64	37	92	83	85	91	88	86	89	82	95	67	89	68	75	0	50	77	0	23	3	11,634,000$
2	William Nylander			X		100.00	57	35	93	84	75	88	92	80	64	79	81	67	84	69	71	0	50	73	0	24	3	6,962,366$
3	Tyler Bertuzzi		X			100.00	70	58	79	73	77	90	81	75	60	78	84	71	73	68	70	0	50	72	0	25	2	4,750,000$
4	Jeff Carter (A)	X				100.00	66	37	84	70	87	88	82	71	86	72	73	76	71	90	79	0	50	71	0	35	1	5,273,000$
5	Trevor Zegras	X				100.00	59	34	80	78	71	88	85	79	76	80	74	62	80	61	66	0	50	70	0	19	2	1,775,000$
6	Viktor Arvidsson		X			100.00	59	36	88	76	67	87	89	75	61	74	76	62	77	72	74	0	50	70	0	27	3	4,250,000$
7	Dominik Kubalik		X			100.00	67	35	92	72	76	85	90	73	58	71	74	64	73	68	70	0	50	69	0	25	1	3,700,000$
8	Sam Gagner	X				100.00	62	37	88	69	71	84	90	72	80	68	65	75	73	86	74	0	50	68	0	31	1	850,000$
9	Frederick Gaudreau	X				100.00	58	34	92	70	71	86	83	69	84	76	65	82	67	69	71	0	50	68	0	27	2	1,200,000$
10	Mark Jankowski	X				100.00	76	38	92	63	89	84	79	64	80	66	62	77	63	69	71	0	50	67	0	26	2	750,000$
11	Owen Tippett			X		100.00	72	38	88	70	81	83	92	71	62	68	67	65	66	63	65	0	50	67	0	21	1	1,596,667$
12	Arthur Kaliyev			X		100.00	62	39	86	70	82	81	83	72	55	63	71	62	73	61	64	0	50	66	0	19	3	1,035,833$
13	Darnell Nurse				X	100.00	79	82	68	75	91	94	86	72	30	78	76	88	59	70	68	0	50	73	0	25	1	5,600,000$
14	Moritz Seider				X	100.00	77	38	90	75	86	93	82	74	30	83	64	87	56	62	68	0	50	72	0	19	1	1,775,000$
15	Dougie Hamilton				X	100.00	68	43	82	70	98	92	89	72	30	81	73	70	59	76	71	0	50	71	0	27	7	9,000,000$
16	Anton Stralman (A)				X	100.00	68	34	95	64	71	91	88	62	30	72	67	82	53	86	77	0	50	69	0	34	1	5,500,000$
17	Artem Zub				X	100.00	80	36	78	67	81	92	90	66	30	73	62	76	53	67	68	0	50	68	0	25	2	2,500,000$
18	Justin Holl				X	100.00	76	38	83	66	85	87	88	63	30	76	58	82	50	71	73	0	50	68	0	28	2	2,000,000$
Rayé

	MOYENNE D’ÉQUIPE					100.00	68	40	83	67	78	83	82	67	53	69	65	67	62	69	70	0	50	66

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Chris Driedger	100.00	89	87	82	88	88	87	89	88	87	89	88	68	81	0	50	72	0	26	3	3,500,000$
2	John Gibson	100.00	89	92	86	82	88	87	89	88	87	89	88	77	83	0	50	72	0	27	6	6,400,000$
Rayé

	MOYENNE D’ÉQUIPE	100.00	83	84	80	87	82	81	83	82	81	83	82	70	79	0	50	69

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
D.J. Smith	89	81	81	79	67	62	81	CAN	45	8	100,000$

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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

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	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Link
Anton Stralman	Red Wings	D	34	1986-08-01	No	193 Lbs	5 ft11	No	No	No	1	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	No							Lien / Lien NHL
Artem Zub	Red Wings	D	25	1995-10-03	No	202 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$						Lien / Lien NHL
Arthur Kaliyev	Red Wings	RW	19	2001-06-26	No	210 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,035,833$	1,035,833$	1,035,833$	No	1,035,833$	1,035,833$					Lien / Lien NHL
Auston Matthews	Red Wings	C	23	1997-09-17	No	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	11,634,000$	11,634,000$	11,634,000$	No	11,634,000$	11,634,000$					Lien / Lien NHL
Chris Driedger	Red Wings	G	26	1994-05-18	No	208 Lbs	6 ft4	No	No	No	3	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	3,500,000$					Lien / Lien NHL
Darnell Nurse	Red Wings	D	25	1995-02-04	No	221 Lbs	6 ft4	No	No	No	1	Pro & Farm	5,600,000$	5,600,000$	5,600,000$	No							Lien / Lien NHL
Dominik Kubalik	Red Wings	LW	25	1995-08-21	No	179 Lbs	6 ft2	No	No	No	1	Pro & Farm	3,700,000$	3,700,000$	3,700,000$	No							Lien / Lien NHL
Dougie Hamilton	Red Wings	D	27	1993-06-17	No	230 Lbs	6 ft6	No	No	No	7	Pro & Farm	9,000,000$	9,000,000$	9,000,000$	No	9,000,000$	9,000,000$	9,000,000$	9,000,000$	9,000,000$	9,000,000$	Lien / Lien NHL
Frederick Gaudreau	Red Wings	C	27	1993-05-01	No	184 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	No	1,200,000$						Lien / Lien NHL
Jeff Carter	Red Wings	C	35	1985-01-01	No	219 Lbs	6 ft3	No	No	No	1	Pro & Farm	5,273,000$	5,273,000$	5,273,000$	No							Lien / Lien NHL
John Gibson	Red Wings	G	27	1993-07-14	No	210 Lbs	6 ft2	No	No	No	6	Pro & Farm	6,400,000$	6,400,000$	6,400,000$	No	6,400,000$	6,400,000$	6,400,000$	6,400,000$	6,400,000$		Lien / Lien NHL
Justin Holl	Red Wings	D	28	1992-01-30	No	194 Lbs	6 ft4	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$						Lien / Lien NHL
Mark Jankowski	Red Wings	C	26	1994-09-13	No	212 Lbs	6 ft4	No	No	No	2	Pro & Farm	750,000$	750,000$	750,000$	No	750,000$						Lien / Lien NHL
Moritz Seider	Red Wings	D	19	2001-04-06	No	197 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,775,000$	1,775,000$	1,775,000$	No							Lien / Lien NHL
Owen Tippett	Red Wings	RW	21	1999-02-16	No	207 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,596,667$	1,596,667$	1,596,667$	No							Lien / Lien NHL
Sam Gagner	Red Wings	C	31	1989-08-10	No	197 Lbs	5 ft11	No	No	No	1	Pro & Farm	850,000$	850,000$	850,000$	No							Lien / Lien NHL
Trevor Zegras	Red Wings	C	19	2001-03-20	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,775,000$	1,775,000$	1,775,000$	No	1,775,000$						Lien / Lien NHL
Tyler Bertuzzi	Red Wings	LW	25	1995-02-24	No	197 Lbs	6 ft1	No	No	No	2	Pro & Farm	4,750,000$	4,750,000$	4,750,000$	No	4,750,000$						Lien / Lien NHL
Viktor Arvidsson	Red Wings	LW	27	1993-04-08	No	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	4,250,000$	4,250,000$	4,250,000$	No	4,250,000$	4,250,000$					Lien / Lien NHL
William Nylander	Red Wings	RW	24	1996-05-01	No	202 Lbs	6 ft0	No	No	No	3	Pro & Farm	6,962,366$	6,962,366$	6,962,366$	No	6,962,366$	6,962,366$					Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	25.65	202 Lbs	6 ft2	2.35	4,002,593$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
80,051,866$	55,757,199$	42,782,199$	15,400,000$	15,400,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	William Nylander	Auston Matthews	Dominik Kubalik	35	0	1	4
2	Viktor Arvidsson	Jeff Carter	Tyler Bertuzzi	35	1	1	3
3	Owen Tippett	Trevor Zegras	Frederick Gaudreau	20	1	2	2
4	Mark Jankowski		Sam Gagner	10	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dougie Hamilton	Darnell Nurse	33	0	2	3
2		Anton Stralman	33	1	2	2
3	Artem Zub		25	1	3	1
4	Dougie Hamilton	Darnell Nurse	9	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	William Nylander	Auston Matthews	Dominik Kubalik	60	0	0	5
2	Tyler Bertuzzi	Jeff Carter	Viktor Arvidsson	40	1	0	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dougie Hamilton	Darnell Nurse	60	1	1	3
2		Artem Zub	40	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Mark Jankowski	60	1	4	0
2	Sam Gagner	Frederick Gaudreau	40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dougie Hamilton	Darnell Nurse	60	1	4	0
2		Anton Stralman	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1		60	1	4	0	Dougie Hamilton	Darnell Nurse	60	1	4	0
2	Mark Jankowski	40	1	4	0		Anton Stralman	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Auston Matthews	William Nylander	60	1	2	2
2	Jeff Carter	Dominik Kubalik	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dougie Hamilton	Darnell Nurse	60	1	2	2
2		Artem Zub	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
William Nylander	Auston Matthews	Dominik Kubalik	Dougie Hamilton	Darnell Nurse

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mark Jankowski		Frederick Gaudreau	Dougie Hamilton	Darnell Nurse

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Dominik Kubalik, Tyler Bertuzzi, Auston Matthews	Dominik Kubalik, William Nylander

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Artem Zub, , Dougie Hamilton	Artem Zub	, Dougie Hamilton

Tirs de pénalité
Auston Matthews, William Nylander, Tyler Bertuzzi, Dominik Kubalik,

Gardien
#1 : John Gibson, #2 : Chris Driedger

Lignes d’attaque personnalisées en prolongation
Auston Matthews, William Nylander, Dominik Kubalik, Tyler Bertuzzi, Jeff Carter, Viktor Arvidsson, Viktor Arvidsson, , Owen Tippett, Frederick Gaudreau, Mark Jankowski

Lignes de défense personnalisées en prolongation
Dougie Hamilton, Darnell Nurse, , Artem Zub, Anton Stralman

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

	Total												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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	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
0	0	0.00%	0	0	0.00%	0	0	0.00%

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
0	0	0	0	0	0

Derniers matchs 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	SO	RI	Lien

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	80,051,866$	16,485,366$	0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	980,408,204$	980,408,204$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	81,500,000$	81,500,000$	-60,200,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Tyler Bertuzzi	AGE:25	PO:0	OV:72
Viktor Arvidsson	AGE:27	PO:0	OV:70
Dominik Kubalik	AGE:25	PO:0	OV:69
Lukas Reichel (R)	AGE:18	PO:0	OV:65
Roby Jarventie (R)	AGE:18	PO:0	OV:63
Garrett Wilson	AGE:29	PO:0	OV:61
Max McCormick	AGE:28	PO:0	OV:61

Auston Matthews	AGE:23	PO:0	OV:77
Jeff Carter	AGE:35	PO:0	OV:71
Trevor Zegras	AGE:19	PO:0	OV:70
Sam Gagner	AGE:31	PO:0	OV:68
Frederick Gaudreau	AGE:27	PO:0	OV:68
Mark Jankowski	AGE:26	PO:0	OV:67
Joseph Cramarossa	AGE:27	PO:0	OV:63
Brian Pinho	AGE:25	PO:0	OV:61
Ryan Suzuki	AGE:19	PO:0	OV:59

William Nylander	AGE:24	PO:0	OV:73
Owen Tippett	AGE:21	PO:0	OV:67
Arthur Kaliyev	AGE:19	PO:0	OV:66
Wayne Simmonds	AGE:32	PO:0	OV:65

Défense #1

Défense #2

Gardien

Darnell Nurse	AGE:25	PO:0	OV:73
Moritz Seider	AGE:19	PO:0	OV:72
Dougie Hamilton	AGE:27	PO:0	OV:71
Anton Stralman	AGE:34	PO:0	OV:69
Artem Zub	AGE:25	PO:0	OV:68
Justin Holl	AGE:28	PO:0	OV:68
Oliver Kylington	AGE:23	PO:0	OV:68

Ty Smith	AGE:20	PO:0	OV:66
Juuso Valimaki	AGE:22	PO:0	OV:65
Mitch Reinke	AGE:24	PO:0	OV:61
Cody Goloubef	AGE:30	PO:0	OV:58
Brennan Menell	AGE:23	PO:0	OV:58
Chad Krys	AGE:22	PO:0	OV:58
James Greenway (R)	AGE:22	PO:0	OV:58

Chris Driedger	AGE:26	PO:0	OV:72
John Gibson	AGE:27	PO:0	OV:72
Adam Werner	AGE:23	PO:0	OV:62

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Lien
Alex Broadhurst	Red Wings			Lien
Antti Tuomisto	Red Wings	9	41
Artur Akhtyamov	Red Wings	10	110
Brandon Manning	Red Wings			Lien
Brett Lernout	Red Wings			Lien
Brian Gibbons	Red Wings			Lien
Conner Bleackley	Red Wings			Lien
Filip Chlapik	Red Wings			Lien
Justin Sourdif	Red Wings	10	69
Kevan Miller	Red Wings			Lien
Landon Slaggert	Red Wings	10	101
Logan Nelson	Red Wings	2	139
Luke Reid	Red Wings	10	165
Marcus Davidsson	Red Wings	7	57
Marko Dano	Red Wings			Lien
Matej Paulovic	Red Wings	3	171
Matthew Spencer	Red Wings			Lien
Michael Prapavessis	Red Wings			Lien
Michael Spacek	Red Wings			Lien
Patrik Puistola	Red Wings	9	60
Radovan Bondra	Red Wings	5	110
Richard Bachman	Red Wings			Lien
Ryan Bourque	Red Wings			Lien
Shane Pinto	Red Wings	9	38
Stephen Johns	Red Wings			Lien
Steven Johnson	Red Wings	4	151	Lien
Tye McGinn	Red Wings			Lien
Vladimir Sobotka	Red Wings			Lien
Yaroslav Askarov	Red Wings	10	6
Zachary Lauzon	Red Wings	7	112

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6
11
12
13
14
15

[2022-06-29 7:47:52 PM] - James Greenway was added to Red Wings.
[2022-06-29 7:47:52 PM] - Roby Jarventie was added to Red Wings.
[2022-06-29 7:47:52 PM] - Lukas Reichel was added to Red Wings.
[2022-05-29 9:45:47 PM] - Red Wings was eliminated at round 2 of year 10.
[2022-04-30 11:39:30 PM] - Griffins didn't make playoff for year 10.
[2022-03-22 8:21:36 PM] - TRADE : From Kraken to Red Wings : Chris Driedger (69).
[2022-03-22 8:21:36 PM] - TRADE : From Red Wings to Kraken : Curtis McElhinney (68), Lucas Elvenes (62).
[2022-02-27 9:11:33 PM] - TRADE : From Kraken to Red Wings : Dominik Kubalik (71).
[2022-02-27 9:11:33 PM] - TRADE : From Red Wings to Kraken : Y:11-RND:1-DET, Y:12-RND:2-DET, Y:13-RND:4-DET.
[2021-12-03 11:09:29 PM] - Anton Stralman has been selected as assistant for Red Wings.
[2021-12-03 11:09:29 PM] - Vladimir Sobotka is no longer as assistant for Red Wings.
[2021-12-03 11:09:29 PM] - Jeff Carter has been selected as assistant for Red Wings.
[2021-12-03 11:09:29 PM] - William Nylander is no longer as assistant for Red Wings.
[2021-11-29 9:41:57 PM] - TRADE : From Kraken to Red Wings : Justin Holl (69), Y:12-RND:5-SEA.
[2021-11-29 9:41:57 PM] - TRADE : From Red Wings to Kraken : Y:11-RND:2-DET, Y:13-RND:2-DET, Y:13-RND:3-DET.
[2021-11-22 11:02:18 PM] - TRADE : From Sharks to Red Wings : Curtis McElhinney (68).
[2021-11-22 11:02:18 PM] - TRADE : From Red Wings to Sharks : Y:11-RND:4-DET.

[2022-07-18 10:23:32 PM] Oliver Kylington of Red Wings was sent down to farm.
[2022-07-18 10:23:32 PM] Justin Holl of Red Wings was sent to pro.
[2022-07-16 10:58:54 PM] Auto Roster Function has been run for Red Wings.
[2022-07-16 10:58:54 PM] Arthur Kaliyev of Red Wings was sent to pro.
[2022-07-16 10:58:53 PM] Griffins roster errors : Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[2022-07-16 10:58:53 PM] Red Wings roster errors : Not enough Right Wings available in Pro Team! 2 Dressed. 3 Required. Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2022-07-16 10:55:21 PM] Auto Roster Function has been run for Red Wings.
[2022-07-16 10:55:21 PM] Justin Holl of Red Wings was sent to farm.
[2022-07-16 10:55:21 PM] Juuso Valimaki of Red Wings was sent to farm.
[2022-07-16 10:55:21 PM] Oliver Kylington of Red Wings was sent to pro.
[2022-07-16 10:55:21 PM] Moritz Seider of Red Wings was sent to pro.
[2022-06-29 7:47:52 PM] James Greenway was added to Red Wings.
[2022-06-29 7:47:52 PM] Roby Jarventie was added to Red Wings.
[2022-06-29 7:47:52 PM] Lukas Reichel was added to Red Wings.

Pas de blessure ou de suspension.

Afficher ou masquer des colonnes

	Total											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
2	82	42	26	0	1	3	3	7	258	209	49	41	23	13	0	0	2	1	2	141	113	28	41	19	13	0	1	1	2	5	117	96	21	102	258	461	719	1	4	0	97	77	80	2708	0	923	883	873	2345	671	942	1766	356	73	20.51%	368	57	84.51%	4	1588	3081	51.54%	1490	2902	51.34%	664	1323	50.19%	1994	1372	1931	611	1048	525
3	82	35	23	0	5	4	6	9	254	234	20	41	19	10	0	3	2	2	5	131	116	15	41	16	13	0	2	2	4	4	123	118	5	105	254	445	699	1	4	0	91	77	75	2538	0	844	824	815	2195	631	840	1581	336	47	13.99%	338	57	83.14%	2	1553	2935	52.91%	1440	2713	53.08%	663	1275	52.00%	2032	1410	1934	616	1052	525
4	82	36	29	0	3	4	6	4	219	204	15	41	20	14	0	2	2	2	1	108	95	13	41	16	15	0	1	2	4	3	111	109	2	98	219	377	596	0	7	0	97	66	47	2500	0	791	875	806	2249	611	686	1739	226	42	18.58%	245	43	82.45%	2	1445	2849	50.72%	1371	2687	51.02%	615	1208	50.91%	1988	1385	1947	606	1049	524
5	82	22	38	0	9	8	1	4	205	239	-34	41	15	14	0	4	4	1	3	111	121	-10	41	7	24	0	5	4	0	1	94	118	-24	76	205	369	574	0	2	0	70	59	66	2410	0	797	772	812	2308	665	729	1710	277	44	15.88%	275	64	76.73%	2	1439	2856	50.39%	1410	2767	50.96%	640	1250	51.20%	2010	1394	1912	603	1050	531
6	82	36	25	0	7	9	2	3	260	235	25	41	20	12	0	2	5	2	0	133	109	24	41	16	13	0	5	4	0	3	127	126	1	102	260	478	738	1	6	0	87	90	74	2761	0	885	930	904	2519	745	598	1828	335	60	17.91%	249	49	80.32%	1	1608	3049	52.74%	1477	2807	52.62%	647	1215	53.25%	2065	1481	1911	577	997	507
7	82	35	33	0	5	2	5	2	261	232	29	41	16	16	0	4	1	3	1	136	118	18	41	19	17	0	1	1	2	1	125	114	11	94	261	456	717	2	4	0	86	84	81	2720	0	844	928	910	2524	700	634	1933	271	58	21.40%	255	51	80.00%	4	1519	2972	51.11%	1441	2850	50.56%	647	1285	50.35%	2004	1418	1939	586	1031	512
8	82	27	38	0	3	5	4	5	193	217	-24	41	14	18	0	2	2	3	2	95	105	-10	41	13	20	0	1	3	1	3	98	112	-14	78	193	335	528	6	8	0	57	61	68	2065	0	623	697	710	2360	705	817	1848	322	41	12.73%	368	54	85.33%	4	1346	2693	49.98%	1399	2804	49.89%	588	1199	49.04%	1937	1319	1999	618	1044	517
9	82	19	42	0	5	8	4	4	198	271	-73	41	8	21	0	3	6	1	2	89	138	-49	41	11	21	0	2	2	3	2	109	133	-24	68	198	354	552	0	3	0	77	62	50	2247	0	740	733	742	2391	708	682	1883	306	40	13.07%	292	60	79.45%	5	1436	2814	51.03%	1392	2810	49.54%	616	1237	49.80%	1945	1342	1993	614	1049	513
10	82	40	23	0	7	4	5	3	276	238	38	41	17	14	0	3	3	3	1	128	120	8	41	23	9	0	4	1	2	2	148	118	30	111	276	479	755	1	7	106	72	86	17	2693	853	900	899	68	2447	698	487	1901	261	52	19.92%	210	40	80.95%	0	1473	2960	49.76%	1403	2800	50.11%	708	1309	54.09%	1982	1381	1943	593	1051	528
Total Saison régulière	738	292	277	0	45	47	36	41	2124	2079	45	369	152	132	0	23	27	18	17	1072	1035	37	369	140	145	0	22	20	18	24	1052	1044	8	834	2124	3754	5878	12	45	106	734	662	558	22642	853	7347	7541	6640	21338	6134	6415	16189	2690	457	16.99%	2600	475	81.73%	24	13407	26209	51.15%	12823	25140	51.01%	5788	11301	51.22%	17961	12505	17513	5427	9374	4686
Séries éliminatoires
2	4	0	4	0	0	0	0	0	9	17	-8	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	5	10	-5	0	9	15	24	0	0	0	1	6	2	135	0	47	33	44	150	49	55	85	12	1	8.33%	20	6	70.00%	1	70	147	47.62%	76	164	46.34%	27	70	38.57%	92	60	114	33	54	24
3	13	6	7	0	0	0	0	0	34	32	2	6	1	5	0	0	0	0	0	12	15	-3	7	5	2	0	0	0	0	0	22	17	5	12	34	60	94	0	1	0	8	16	9	392	0	112	127	121	375	126	184	228	52	5	9.62%	51	4	92.16%	1	253	492	51.42%	245	479	51.15%	94	198	47.47%	327	226	354	107	179	88
4	12	6	6	0	0	0	0	0	41	41	0	6	4	2	0	0	0	0	0	20	19	1	6	2	4	0	0	0	0	0	21	22	-1	12	41	71	112	0	0	0	12	15	12	421	0	129	172	108	383	100	99	324	42	12	28.57%	43	9	79.07%	0	235	461	50.98%	189	418	45.22%	104	203	51.23%	297	208	283	86	156	77
6	10	6	4	0	0	0	0	0	31	29	2	5	4	1	0	0	0	0	0	18	14	4	5	2	3	0	0	0	0	0	13	15	-2	12	31	51	82	0	0	0	9	14	6	368	0	99	117	120	370	113	95	285	45	9	20.00%	37	9	75.68%	0	212	412	51.46%	207	422	49.05%	72	158	45.57%	268	191	258	76	134	68
10	12	7	5	0	0	0	0	0	39	32	7	7	4	3	0	0	0	0	0	23	20	3	5	3	2	0	0	0	0	0	16	12	4	14	39	68	107	0	1	11	15	13	0	461	125	142	129	65	467	124	110	320	40	9	22.50%	43	3	93.02%	1	271	517	52.42%	269	524	51.34%	132	224	58.93%	320	221	335	98	171	85
Total Séries éliminatoires	51	25	26	0	0	0	0	0	154	151	3	26	13	13	0	0	0	0	0	77	75	2	25	12	13	0	0	0	0	0	77	76	1	50	154	265	419	0	2	11	45	64	29	1777	125	529	578	458	1745	512	543	1242	191	36	18.85%	194	31	84.02%	3	1041	2029	51.31%	986	2007	49.13%	429	853	50.29%	1306	909	1346	402	695	345

	Red Wings
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Patrick Auger \| Morale : 50 \| Moyenne d’équipe : 70