LHSRSM - Red Wings

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Meneurs d'équipe

Statistiques d’équipe
Buts pour 0 nan GFG	Tirs pour 0 nan Avg	Pourcentage en avantage numérique nan% 0 GF	Début de zone offensive nan%
Buts contre 0 nan GAA	Tirs contre 0 nan Avg	Pourcentage en désavantage numérique nan% 0 GA	Début de la zone défensive nan%

Information d’équipe
	Directeur général	Patrick Auger
	Entraîneur	John Stevens
	Division	Atlantique
	Conférence	Est
	Capitaine	Auston Matthews
	Assistant #1	Dougie Hamilton
	Assistant #2	William Nylander
Informations de l’aréna
	Nom	Little Caesars Arena
	Capacité	18,000
	Assistance	nan
	Billets de saison	7,200
Information formation
	Équipe Pro	23
	Équipe Mineure	25
	Limite contact	48 / 250
	Espoirs	53
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	10
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	500,000,000$
	Compte bancaire projeté	500,000,000$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	355-292-84 (0.486%)
	Apparitions séries éliminatoires	4
	Historique séries éliminatoires (W-L)	18-21
	Stanley Cup	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
1	Auston Matthews (C)	X	X			100.00	66	35	95	83	87	92	93	85	88	79	96	71	92	67	78	0	50	77	0
2	William Nylander (A)	X	X	X		100.00	52	35	93	82	74	87	89	80	66	77	81	64	83	69	70	0	50	72	0
3	Nick Schmaltz	X		X		100.00	53	35	91	78	72	85	91	76	82	79	69	67	76	71	68	0	50	70	0
4	Owen Tippett		X	X		100.00	79	35	95	67	79	81	74	72	59	70	67	55	69	63	65	0	50	66	0
5	Dougie Hamilton (A)				X	100.00	73	51	79	76	98	90	86	78	30	85	77	81	62	75	72	0	50	74	0
6	Adam Pelech				X	100.00	81	39	87	66	85	89	84	62	30	72	61	88	52	73	67	0	50	68	0
7	Anton Stralman				X	100.00	72	35	92	64	70	89	87	63	30	72	63	81	45	85	77	0	50	68	0
Rayé
1	Tyler Bertuzzi		X	X		100.00	73	43	82	73	77	88	81	74	59	75	77	60	73	71	67	0	50	70	0
2	Sam Gagner	X	X	X		100.00	55	36	90	69	72	81	84	71	73	67	68	59	70	80	73	0	50	66	0
3	Frederick Gaudreau	X		X		100.00	56	35	95	73	70	82	74	66	73	70	62	75	62	75	68	0	50	66	0
4	Mark Jankowski	X	X			100.00	57	35	94	67	89	73	86	65	82	64	63	77	62	73	68	0	50	66	0
5	Vladimir Sobotka	X				100.00	79	35	92	64	71	81	69	60	79	64	61	76	62	84	74	0	50	66	0
6	Wayne Simmonds		X	X		100.00	79	84	68	65	77	81	86	62	54	68	65	57	64	82	73	0	50	65	0
7	Marko Dano		X			100.00	67	46	79	66	73	77	72	63	57	60	59	62	65	73	67	0	50	63	0
8	Tye McGinn		X			100.00	78	37	69	59	87	88	93	58	60	56	61	62	59	79	71	0	50	63	0
9	Garrett Wilson		X	X		100.00	77	69	71	56	87	78	83	56	59	58	56	60	56	78	73	0	50	62	0
10	Darnell Nurse				X	100.00	86	82	73	77	91	93	89	71	30	79	73	83	58	72	74	0	50	73	0
11	Stephen Johns				X	100.00	88	46	81	62	91	69	71	63	30	70	65	67	52	77	69	0	50	67	0
12	Oliver Kylington				X	100.00	62	35	91	73	71	83	81	69	30	67	58	56	54	67	69	0	50	65	0
13	Brandon Manning				X	100.00	61	74	57	64	78	77	75	63	30	62	60	61	50	79	71	0	50	63	0
14	Mitch Reinke				X	100.00	61	36	89	63	69	81	76	59	30	65	56	57	49	69	65	0	50	61	0

	MOYENNE D’ÉQUIPE					100.00	69	46	84	69	79	83	82	67	54	69	67	68	63	74	70	0	50	67

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
1	John Gibson	100.00	92	91	95	82	91	90	92	91	90	92	91	75	81	0	50	75	0
2	Chris Driedger	100.00	83	94	87	88	82	81	83	82	81	83	82	74	78	0	50	70	0
Rayé

	MOYENNE D’ÉQUIPE	100.00	88	93	91	85	87	86	88	87	86	88	87	75	80	0	50	73

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Stevens	69	75	65	66	81	76	67	CAN	54	2	500,000$

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
Adam Pelech	Red Wings	D	25	1994-08-16	No	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,600,000$	1,600,000$	1,600,000$	No							Lien / Lien NHL
Anton Stralman	Red Wings	D	33	1986-08-01	No	186 Lbs	5 ft11	No	No	No	2	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	No	5,500,000$						Lien / Lien NHL
Auston Matthews	Red Wings	C/LW	22	1997-09-17	No	220 Lbs	6 ft3	No	No	No	4	Pro & Farm	11,634,000$	11,634,000$	11,634,000$	No	11,634,000$	11,634,000$	11,634,000$				Lien / Lien NHL
Brandon Manning	Red Wings	D	29	1990-06-04	No	205 Lbs	6 ft1	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Chris Driedger	Red Wings	G	25	1994-05-18	No	208 Lbs	6 ft4	No	No	No	1	Pro & Farm	850,000$	850,000$	850,000$	No							Lien / Lien NHL
Darnell Nurse	Red Wings	D	24	1995-02-04	No	221 Lbs	6 ft4	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Dougie Hamilton	Red Wings	D	26	1993-06-17	No	229 Lbs	6 ft6	No	No	No	1	Pro & Farm	5,750,000$	5,750,000$	5,750,000$	No							Lien / Lien NHL
Frederick Gaudreau	Red Wings	C/RW	26	1993-05-01	No	179 Lbs	6 ft0	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Garrett Wilson	Red Wings	LW/RW	28	1991-03-16	No	218 Lbs	6 ft3	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
John Gibson	Red Wings	G	26	1993-07-14	No	207 Lbs	6 ft2	No	No	No	7	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$	6,400,000$	Lien / Lien NHL
Mark Jankowski	Red Wings	C/LW	25	1994-09-13	No	212 Lbs	6 ft4	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Marko Dano	Red Wings	LW	24	1994-11-30	No	201 Lbs	5 ft11	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Mitch Reinke	Red Wings	D	23	1996-02-04	No	181 Lbs	5 ft11	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Nick Schmaltz	Red Wings	C/RW	23	1996-02-23	No	177 Lbs	6 ft0	No	No	No	6	Pro & Farm	5,850,000$	5,850,000$	5,850,000$	No	5,850,000$	5,850,000$	5,850,000$	5,850,000$	5,850,000$		Lien / Lien NHL
Oliver Kylington	Red Wings	D	22	1997-05-19	No	183 Lbs	6 ft0	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Owen Tippett	Red Wings	LW/RW	20	1999-02-16	No	207 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,596,667$	1,596,667$	1,596,667$	No	1,596,667$						Lien / Lien NHL
Sam Gagner	Red Wings	C/LW/RW	30	1989-08-10	No	200 Lbs	5 ft11	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Stephen Johns	Red Wings	D	27	1992-04-18	No	225 Lbs	6 ft4	No	No	No	1	Pro & Farm	2,350,000$	2,350,000$	2,350,000$	No							Lien / Lien NHL
Tye McGinn	Red Wings	LW	29	1990-07-29	No	218 Lbs	6 ft3	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Tyler Bertuzzi	Red Wings	LW/RW	24	1995-02-24	No	199 Lbs	6 ft1	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Vladimir Sobotka	Red Wings	C	32	1987-07-02	No	191 Lbs	5 ft11	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
Wayne Simmonds	Red Wings	LW/RW	31	1988-08-26	No	185 Lbs	6 ft2	No	No	No	0	Pro & Farm		0$	0$	No							Lien / Lien NHL
William Nylander	Red Wings	C/LW/RW	23	1996-05-01	No	196 Lbs	6 ft0	No	No	No	4	Pro & Farm	6,962,366$	6,962,366$	6,962,366$	No	6,962,366$	6,962,366$	6,962,366$				Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	25.96	202 Lbs	6 ft2	1.26	2,108,393$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
48,493,033$	37,943,033$	30,846,366$	30,846,366$	12,250,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Auston Matthews	William Nylander	25	1	2	2
2		Nick Schmaltz		25	1	2	2
3	Owen Tippett			25	1	2	2
4				25	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dougie Hamilton		30	1	2	2
2	Adam Pelech	Anton Stralman	30	1	2	2
3			25	1	2	2
4	Dougie Hamilton		15	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Auston Matthews	William Nylander	60	1	2	2
2		Nick Schmaltz		40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dougie Hamilton		60	1	2	2
2	Adam Pelech	Anton Stralman	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Auston Matthews		60	1	2	2
2	Nick Schmaltz	William Nylander	40	1	2	2

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

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Auston Matthews	60	1	2	2	Dougie Hamilton		60	1	2	2
2	Nick Schmaltz	40	1	2	2	Adam Pelech	Anton Stralman	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Auston Matthews	William Nylander	60	1	2	2
2	Nick Schmaltz		40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Dougie Hamilton		60	1	2	2
2	Adam Pelech	Anton Stralman	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Auston Matthews	William Nylander	Dougie Hamilton

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Auston Matthews	William Nylander	Dougie Hamilton

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, ,	,

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Anton Stralman, ,	Anton Stralman	Anton Stralman,

Tirs de pénalité
Auston Matthews, William Nylander, , Nick Schmaltz,

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

Lignes d’attaque personnalisées en prolongation
Auston Matthews, William Nylander, , Nick Schmaltz, , , , , , Owen Tippett,

Lignes de défense personnalisées en prolongation
Dougie Hamilton, , Adam Pelech, 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$	48,493,033$	14,312,366$	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$	10	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$	500,000,000$	500,000,000$

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

Auston Matthews	AGE:22	PO:0	OV:77
William Nylander	AGE:23	PO:0	OV:72
Tyler Bertuzzi	AGE:24	PO:0	OV:70
Sam Gagner	AGE:30	PO:0	OV:66
Mark Jankowski	AGE:25	PO:0	OV:66
Owen Tippett	AGE:20	PO:0	OV:66
Wayne Simmonds	AGE:31	PO:0	OV:65
Filip Chlapik	AGE:22	PO:0	OV:64
Lucas Elvenes	AGE:20	PO:0	OV:63
Marko Dano	AGE:24	PO:0	OV:63
Max McCormick	AGE:27	PO:0	OV:63
Tye McGinn	AGE:29	PO:0	OV:63
Garrett Wilson	AGE:28	PO:0	OV:62
Joseph Cramarossa	AGE:26	PO:0	OV:62
Ryan Bourque	AGE:28	PO:0	OV:59

Auston Matthews	AGE:22	PO:0	OV:77
William Nylander	AGE:23	PO:0	OV:72
Nick Schmaltz	AGE:23	PO:0	OV:70
Shane Pinto (R)	AGE:18	PO:0	OV:67
Trevor Zegras (R)	AGE:18	PO:0	OV:67
Sam Gagner	AGE:30	PO:0	OV:66
Frederick Gaudreau	AGE:26	PO:0	OV:66
Mark Jankowski	AGE:25	PO:0	OV:66
Vladimir Sobotka	AGE:32	PO:0	OV:66
Filip Chlapik	AGE:22	PO:0	OV:64
Brian Pinho	AGE:24	PO:0	OV:63
Lucas Elvenes	AGE:20	PO:0	OV:63
Brian Gibbons	AGE:31	PO:0	OV:63
Alex Broadhurst	AGE:26	PO:0	OV:61
Michael Spacek	AGE:22	PO:0	OV:61
Ryan Suzuki (R)	AGE:18	PO:0	OV:61
Conner Bleackley	AGE:23	PO:0	OV:60

William Nylander	AGE:23	PO:0	OV:72
Nick Schmaltz	AGE:23	PO:0	OV:70
Tyler Bertuzzi	AGE:24	PO:0	OV:70
Arthur Kaliyev (R)	AGE:18	PO:0	OV:66
Sam Gagner	AGE:30	PO:0	OV:66
Frederick Gaudreau	AGE:26	PO:0	OV:66
Owen Tippett	AGE:20	PO:0	OV:66
Wayne Simmonds	AGE:31	PO:0	OV:65
Lucas Elvenes	AGE:20	PO:0	OV:63
Garrett Wilson	AGE:28	PO:0	OV:62

Défense #1

Défense #2

Gardien

Dougie Hamilton	AGE:26	PO:0	OV:74
Darnell Nurse	AGE:24	PO:0	OV:73
Adam Pelech	AGE:25	PO:0	OV:68
Anton Stralman	AGE:33	PO:0	OV:68
Stephen Johns	AGE:27	PO:0	OV:67
Kevan Miller (R)	AGE:31	PO:0	OV:66
Ty Smith (R)	AGE:19	PO:0	OV:66
Oliver Kylington	AGE:22	PO:0	OV:65
Juuso Valimaki (R)	AGE:21	PO:0	OV:65

Brandon Manning	AGE:29	PO:0	OV:63
Cody Goloubef	AGE:29	PO:0	OV:63
Brennan Menell	AGE:22	PO:0	OV:62
Mitch Reinke	AGE:23	PO:0	OV:61
Chad Krys	AGE:21	PO:0	OV:60
Brett Lernout	AGE:24	PO:0	OV:60
Michael Prapavessis	AGE:23	PO:0	OV:58
Steven Johnson	AGE:25	PO:0	OV:58

John Gibson	AGE:26	PO:0	OV:75
Chris Driedger	AGE:25	PO:0	OV:70
Adam Werner	AGE:22	PO:0	OV:65
Richard Bachman	AGE:32	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
Aaron Johnson	Red Wings
Adam McQuaid	Red Wings			Lien
Alex Grant	Red Wings
Alexander Salak	Red Wings
Alexandre Picard	Red Wings
Andrew Ebbett	Red Wings
Andrew Miller	Red Wings
Antoine Vermette	Red Wings
Ben Holmstrom	Red Wings			Lien
Bobby Sanguinetti	Red Wings			Lien
Bracken Kearns	Red Wings
Brad Richards	Red Wings
Brad Ross	Red Wings
Brett Sterling	Red Wings
Cam Ward	Red Wings			Lien
Chris Phillips	Red Wings
Colby Robak	Red Wings
Daniel Winnik	Red Wings
Eric Baier	Red Wings
Evan Cowley	Red Wings
Evan Oberg	Red Wings
Filip Kuba	Red Wings
Henrik Zetterberg	Red Wings
James Greenway	Red Wings	6	97
Jay McClement	Red Wings
Jean-Sebastien Giguere	Red Wings
Jed Ortmeyer	Red Wings
Jeff Halpern	Red Wings
Jim Slater	Red Wings
John McCarron	Red Wings			Lien
Josh Godfrey	Red Wings
Justin Florek	Red Wings
Kyle Medvec	Red Wings
Logan Nelson	Red Wings	2	139
Marco Cousineau	Red Wings
Marcus Davidsson	Red Wings	7	57
Mark Dekanich	Red Wings
Matej Paulovic	Red Wings	3	171
Matthew Spencer	Red Wings			Lien
Mike Weaver	Red Wings
Nikita Filatov	Red Wings
PA Parenteau	Red Wings
Patrik Puistola	Red Wings	9	60
Radovan Bondra	Red Wings	5	110
Rod Pelley	Red Wings
Roman Cervenka	Red Wings
Ryan Button	Red Wings
Sean B. Collins	Red Wings
Stephane Veilleux	Red Wings
Stephen Gionta	Red Wings			Lien
Stu Bickel	Red Wings
Theo Peckham	Red Wings
Zachary Lauzon	Red Wings	7	112

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6
10
11
12
13
14

[2021-06-14 8:47:16 PM] - Shane Pinto was added to Red Wings.
[2021-06-14 8:47:15 PM] - Arthur Kaliyev was added to Red Wings.
[2021-06-14 8:47:15 PM] - Ryan Suzuki was added to Red Wings.
[2021-06-14 8:47:15 PM] - Trevor Zegras was added to Red Wings.
[2021-06-14 8:47:15 PM] - Kevan Miller was added to Red Wings.
[2021-06-14 8:47:15 PM] - Juuso Valimaki was added to Red Wings.
[2021-06-14 8:47:15 PM] - Ty Smith was added to Red Wings.
[2021-04-15 8:42:01 PM] - Griffins was eliminated at round 1 of year 9.
[2021-04-06 1:28:58 PM] - Red Wings didn't make playoff for year 9.
[2021-03-07 7:19:54 PM] - Wayne Simmonds was added to Red Wings.
[2021-03-07 7:19:54 PM] - Red Wings claimed Wayne Simmonds from waivers by Jets for $0.
[2021-03-07 7:19:40 PM] - Red Wings show interest in Wayne Simmonds from waiver.
[2021-03-02 8:58:52 PM] - TRADE : From Red Wings to Flyers : Kevin Hayes (73).
[2021-03-02 8:58:52 PM] - TRADE : From Flyers to Red Wings : Tyler Bertuzzi (69), Y:10-RND:4-DET.
[2020-11-25 7:45:07 PM] - TRADE : From Golden Knights to Red Wings : Stephen Johns (66), Mark Jankowski (66).
[2020-11-25 7:45:07 PM] - TRADE : From Red Wings to Golden Knights : Carter Verhaeghe (63), Y:10-RND:5-DET.
[2020-08-31 6:49:44 PM] - TRADE : From Kings to Red Wings : Steven Johnson (57), Michael Prapavessis (58), Joseph Cramarossa (59), Conner Bleackley (60), Brian Gibbons (62), Richard Bachman (64).
[2020-08-31 6:49:44 PM] - TRADE : From Red Wings to Kings : Y:12-RND:5-DET.
[2020-08-03 3:28:46 PM] - Adam Werner was added to Red Wings.
[2020-07-12 2:37:51 PM] - Red Wings drafts Patrik Puistola as the #60 overall pick in the Entry Draft of year 9.

[2021-06-16 10:06:46 AM] Red Wings roster errors : Not enough Forward available in Pro Team! 4 Dressed. 12 Required. Not enough Defenseman available in Pro Team! 3 Dressed. 6 Required. Not enough Players available in Pro Team! 7 Dressed. 18 Required. Some errors will be automatically fixed.
[2021-06-14 8:47:16 PM] Shane Pinto was added to Red Wings.
[2021-06-14 8:47:15 PM] Arthur Kaliyev was added to Red Wings.
[2021-06-14 8:47:15 PM] Ryan Suzuki was added to Red Wings.
[2021-06-14 8:47:15 PM] Trevor Zegras was added to Red Wings.
[2021-06-14 8:47:15 PM] Kevan Miller was added to Red Wings.
[2021-06-14 8:47:15 PM] Juuso Valimaki was added to Red Wings.
[2021-06-14 8:47:15 PM] Ty Smith was added to Red Wings.
[2021-04-11 7:40:42 PM] Auto Lines Farm Function has been run for Griffins.
[2021-04-11 7:40:39 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.
[2021-03-29 9:33:24 PM] Successfully loaded Red Wings lines done with Web Base Client and SQLite Database.

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	84	258	461	719	1	4	97	77	80	8	2708	923	883	873	58	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	70	254	445	699	1	4	91	77	75	18	2538	844	824	815	105	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	72	219	377	596	0	7	97	66	47	16	2500	791	875	806	77	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	44	205	369	574	0	2	70	59	66	11	2410	797	772	812	53	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	72	260	478	738	1	6	87	90	74	12	2761	885	930	904	61	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	70	261	456	717	2	4	86	84	81	14	2720	844	928	910	57	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	57	61	68	11	2065	623	697	710	65	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
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	57	61	68	11	2065	623	697	710	65	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	77	62	50	11	2247	740	733	742	59	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
Total Saison régulière	738	279	292	0	41	48	35	43	2041	2058	-17	369	149	136	0	22	26	18	18	1039	1020	19	369	130	156	0	19	22	17	25	1002	1038	-36	636	2041	3610	5651	17	46	719	637	609	112	22014	7070	7339	7282	600	21251	6141	6745	16136	2751	446	16.21%	2758	489	82.27%	28	13280	25942	51.19%	12819	25144	50.98%	5668	11191	50.65%	17916	12444	17569	5452	9367	4675
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	1	6	2	0	135	47	33	44	11	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	8	16	9	1	392	112	127	121	32	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	12	15	12	2	421	129	172	108	12	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	9	14	6	2	368	99	117	120	32	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
Total Séries éliminatoires	39	18	21	0	0	0	0	0	115	119	-4	19	9	10	0	0	0	0	0	54	55	-1	20	9	11	0	0	0	0	0	61	64	-3	36	115	197	312	0	1	30	51	29	5	1316	387	449	393	87	1278	388	433	922	151	27	17.88%	151	28	81.46%	2	770	1512	50.93%	717	1483	48.35%	297	629	47.22%	986	687	1010	304	524	259

	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 : 68