National Hockey League

Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Stats d'équipe en Carrière
Client Web pour Formation
Client Web pour Lignes

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	Kevin Hayes	X	X	X		100.00	71	44	94	84	81	79	91	79	86	84	78	74	63	66	68	0	53	80	0
2	Cam Atkinson			X		100.00	61	40	91	85	61	81	90	80	38	77	94	65	74	73	74	0	54	79	0
3	Max Domi	X	X			100.00	67	55	73	88	70	76	99	77	80	87	85	61	25	64	64	0	54	79	0
4	Andreas Athanasiou	X	X	X		100.00	63	41	85	92	70	75	91	74	61	76	87	58	75	65	66	0	35	76	0
5	Scott Laughton	X	X			100.00	83	55	81	79	71	68	99	58	86	69	68	86	25	62	63	0	57	72	0
6	Sam Bennett	X	X			100.00	82	89	65	83	76	65	94	71	57	65	71	60	25	64	65	0	51	69	0
7	Pontus Aberg		X	X		100.00	71	43	89	76	70	68	76	77	29	67	72	55	53	53	54	0	22	69	0
8	Marcus Foligno		X	X		100.00	90	88	81	73	87	62	97	62	40	62	59	83	25	69	70	0	57	69	0
9	Garnet Hathaway		X	X		100.00	91	60	79	68	77	57	94	57	39	60	66	76	25	61	61	0	56	67	0
10	Gemel Smith	X	X	X		100.00	71	42	99	72	68	52	71	54	44	56	62	72	25	55	55	0	67	64	0
11	Dillon Dube (R)	X		X		100.00	63	41	94	76	66	56	78	58	43	63	56	64	25	46	46	0	63	63	0
12	Tomas Hyka		X	X		100.00	63	40	95	67	60	61	56	77	44	64	57	54	25	45	45	0	59	63	0
13	Dustin Byfuglien (A)				X	100.00	83	60	56	83	92	91	73	86	25	82	50	76	25	81	84	0	18	78	0
14	Jack Johnson				X	100.00	93	57	85	76	82	78	99	59	25	52	47	85	62	81	82	0	44	72	0
15	Mark Pysyk				X	100.00	84	45	88	80	74	75	93	59	25	52	47	82	25	65	65	0	42	70	0
16	Eric Gryba				X	100.00	86	46	72	66	84	67	67	62	25	40	47	87	25	67	68	0	48	67	0
17	Dennis Cholowski (R)				X	100.00	61	41	90	77	64	75	89	77	25	53	54	58	25	49	49	0	60	64	0
18	Steven Kampfer				X	100.00	78	44	82	68	70	65	53	64	25	49	50	64	25	61	61	0	20	63	0
Rayé
1	Alex Goligoski				X	100.00	75	43	92	81	67	82	94	74	25	66	48	83	80	80	82	0	51	75	0
2	Nate Prosser				X	100.00	76	44	95	69	76	54	67	60	25	40	47	73	25	66	68	0	25	63	0

	MOYENNE D'ÉQUIPE					100.00	76	51	84	77	73	69	84	68	42	63	62	71	38	64	65	0	47	70

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	Thomas Greiss	100.00	90	65	65	83	97	84	77	90	92	90	95	64	65	0	45	83	0
2	James Reimer	100.00	64	70	70	82	68	60	56	66	65	64	85	67	68	0	16	66	0
Rayé
1	Jonathan Quick	100.00	59	85	83	80	59	58	50	58	58	59	55	74	79	0	10	65	0

	MOYENNE D'ÉQUIPE	100.00	71	73	73	82	75	67	61	71	72	71	78	68	71	0	24	71

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Todd Richards	60	70	80	70	70	70	70	USA	52	7	2,000,000$

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	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Alex Goligoski	Red Wings	D	34	1985-07-29	No	185 Lbs	5 ft11	No	No	Yes	3	Sans Restriction	Pro & Farm	5,475,000$	5,475,000$	4,301,786$	No	Lien
Andreas Athanasiou	Red Wings	C/LW/RW	25	1994-08-05	No	188 Lbs	6 ft2	No	No	Yes	2	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$	2,357,143$	No	Lien
Cam Atkinson	Red Wings	RW	30	1989-06-05	No	179 Lbs	5 ft8	No	No	Yes	6	Sans Restriction	Pro & Farm	5,875,000$	5,875,000$	4,616,071$	No	Lien
Dennis Cholowski	Red Wings	D	22	1998-02-15	Yes	170 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	875,000$	875,000$	687,500$	No	Lien
Dillon Dube	Red Wings	C/RW	21	1998-07-19	Yes	183 Lbs	5 ft11	No	No	No	3	Avec Restriction	Pro & Farm	875,000$	875,000$	687,500$	No	Lien
Dustin Byfuglien	Red Wings	D	35	1985-03-27	No	260 Lbs	6 ft5	No	No	Yes	3	Sans Restriction	Pro & Farm	7,600,000$	7,600,000$	5,971,429$	No	Lien
Eric Gryba	Red Wings	D	32	1988-04-14	No	225 Lbs	6 ft4	No	No	Yes	1	Sans Restriction	Pro & Farm	700,000$	700,000$	550,000$	No	Lien
Garnet Hathaway	Red Wings	LW/RW	28	1991-11-23	No	208 Lbs	6 ft2	No	No	No	1	Sans Restriction	Pro & Farm	850,000$	850,000$	667,857$	No	Lien
Gemel Smith	Red Wings	C/LW/RW	25	1994-04-16	No	190 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro & Farm	720,000$	720,000$	565,714$	No	Lien
Jack Johnson	Red Wings	D	33	1987-01-12	No	227 Lbs	6 ft1	No	No	Yes	5	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	2,553,571$	No	Lien
James Reimer	Red Wings	G	32	1988-03-15	No	217 Lbs	6 ft2	No	No	Yes	3	Sans Restriction	Pro & Farm	3,400,000$	3,400,000$	2,671,429$	No	Lien
Jonathan Quick	Red Wings	G	34	1986-01-20	No	218 Lbs	6 ft1	No	No	Yes	5	Sans Restriction	Pro & Farm	5,800,000$	5,800,000$	4,557,143$	No	Lien
Kevin Hayes	Red Wings	C/LW/RW	27	1992-05-08	No	212 Lbs	6 ft5	No	No	Yes	1	Sans Restriction	Pro & Farm	5,175,000$	5,175,000$	4,066,071$	No	Lien
Marcus Foligno	Red Wings	LW/RW	28	1991-08-10	No	232 Lbs	6 ft3	No	No	Yes	3	Sans Restriction	Pro & Farm	2,875,000$	2,875,000$	2,258,929$	No	Lien
Mark Pysyk	Red Wings	D	28	1992-01-11	No	200 Lbs	6 ft1	No	No	Yes	2	Sans Restriction	Pro & Farm	2,733,333$	2,733,333$	2,147,619$	No	Lien
Max Domi	Red Wings	C/LW	25	1995-03-01	No	195 Lbs	5 ft10	No	No	Yes	2	Avec Restriction	Pro & Farm	3,150,000$	3,150,000$	2,475,000$	No	Lien
Nate Prosser	Red Wings	D	33	1986-05-06	No	206 Lbs	6 ft2	No	No	Yes	1	Sans Restriction	Pro & Farm	650,000$	650,000$	510,714$	No	Lien
Pontus Aberg	Red Wings	LW/RW	26	1993-09-22	No	196 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	650,000$	650,000$	510,714$	No	Lien
Sam Bennett	Red Wings	C/LW	23	1996-06-19	No	200 Lbs	6 ft1	No	No	Yes	1	Avec Restriction	Pro & Farm	1,950,000$	1,950,000$	1,532,143$	No	Lien
Scott Laughton	Red Wings	C/LW	25	1994-05-29	No	190 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	962,500$	962,500$	756,250$	No	Lien
Steven Kampfer	Red Wings	D	31	1988-09-24	No	195 Lbs	5 ft11	No	No	Yes	1	Sans Restriction	Pro & Farm	650,000$	650,000$	510,714$	No	Lien
Thomas Greiss	Red Wings	G	34	1986-01-29	No	227 Lbs	6 ft1	No	No	Yes	2	Sans Restriction	Pro & Farm	3,333,333$	3,333,333$	2,619,047$	No	Lien
Tomas Hyka	Red Wings	LW/RW	27	1993-03-23	No	160 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	650,000$	650,000$	510,714$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	28.61	203 Lbs	6 ft1	2.26	2,660,833$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
61,199,166$	48,241,666$	36,025,000$	14,925,000$	14,925,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Tomas Hyka	Andreas Athanasiou	Kevin Hayes	40	1	2	2
2	Pontus Aberg	Sam Bennett	Marcus Foligno	30	1	2	2
3	Max Domi	Scott Laughton	Garnet Hathaway	20	1	2	2
4	Max Domi	Gemel Smith	Cam Atkinson	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Steven Kampfer	Dustin Byfuglien	40	1	2	2
2	Mark Pysyk	Jack Johnson	30	1	2	2
3	Mark Pysyk	Eric Gryba	20	1	2	2
4	Dennis Cholowski	Dustin Byfuglien	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Scott Laughton	Andreas Athanasiou	Kevin Hayes	60	1	2	2
2	Garnet Hathaway	Tomas Hyka	Marcus Foligno	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Byfuglien	Eric Gryba	60	1	2	2
2	Steven Kampfer	Mark Pysyk	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Scott Laughton	Tomas Hyka	60	1	2	2
2	Marcus Foligno	Garnet Hathaway	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Byfuglien	Mark Pysyk	60	1	2	2
2	Steven Kampfer	Eric Gryba	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Scott Laughton	60	1	2	2	Dustin Byfuglien	Eric Gryba	60	1	2	2
2	Garnet Hathaway	40	1	2	2	Dennis Cholowski	Mark Pysyk	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Tomas Hyka	Scott Laughton	60	1	2	2
2	Garnet Hathaway	Marcus Foligno	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dustin Byfuglien	Mark Pysyk	60	1	2	2
2	Jack Johnson	Eric Gryba	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tomas Hyka	Andreas Athanasiou	Kevin Hayes	Steven Kampfer	Dustin Byfuglien

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Tomas Hyka	Andreas Athanasiou	Kevin Hayes	Steven Kampfer	Dustin Byfuglien

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Scott Laughton, Marcus Foligno, Garnet Hathaway	Scott Laughton, Garnet Hathaway	Garnet Hathaway

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dustin Byfuglien, Mark Pysyk, Eric Gryba	Mark Pysyk	Mark Pysyk, Eric Gryba

Tirs de Pénalité
Garnet Hathaway, Marcus Foligno, Tomas Hyka, Andreas Athanasiou, Scott Laughton

Gardien
#1 : James Reimer, #2 : Thomas Greiss

Lignes d'Attaque Perso. en Prol.
Andreas Athanasiou, Tomas Hyka, Kevin Hayes, Sam Bennett, Pontus Aberg, Scott Laughton, Scott Laughton, Max Domi, Marcus Foligno, Garnet Hathaway, Gemel Smith

Lignes de Défense Perso. en Prol.
Jack Johnson, Dustin Byfuglien, Steven Kampfer, Eric Gryba, Mark Pysyk

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
	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 Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
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 Éxtérieurs
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 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	SO	RI	Lien

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	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%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	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 Coachs	Valeur du Cap Salarial Spécial
0$	61,199,166$	61,199,166$	0$	3,000,000$

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$	11	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$	3,928,685$	3,928,685$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Kevin Hayes	AGE:27	PO:0	OV:80
Max Domi	AGE:25	PO:0	OV:79
Andreas Athanasiou	AGE:25	PO:0	OV:76
Scott Laughton	AGE:25	PO:0	OV:72
Sam Bennett	AGE:23	PO:0	OV:69
Pontus Aberg	AGE:26	PO:0	OV:69
Marcus Foligno	AGE:28	PO:0	OV:69
Garnet Hathaway	AGE:28	PO:0	OV:67
Gemel Smith	AGE:25	PO:0	OV:64
Tomas Hyka	AGE:27	PO:0	OV:63
*Filip Zadina	AGE:20	PO:0	OV:59
*Adam Johnson	AGE:25	PO:0	OV:58

Kevin Hayes	AGE:27	PO:0	OV:80
Max Domi	AGE:25	PO:0	OV:79
Andreas Athanasiou	AGE:25	PO:0	OV:76
Scott Laughton	AGE:25	PO:0	OV:72
Sam Bennett	AGE:23	PO:0	OV:69
Gemel Smith	AGE:25	PO:0	OV:64
*Dillon Dube	AGE:21	PO:0	OV:63
*Adam Johnson	AGE:25	PO:0	OV:58

Kevin Hayes	AGE:27	PO:0	OV:80
Cam Atkinson	AGE:30	PO:0	OV:79
Andreas Athanasiou	AGE:25	PO:0	OV:76
Pontus Aberg	AGE:26	PO:0	OV:69
Marcus Foligno	AGE:28	PO:0	OV:69
Garnet Hathaway	AGE:28	PO:0	OV:67
Gemel Smith	AGE:25	PO:0	OV:64
*Dillon Dube	AGE:21	PO:0	OV:63
Tomas Hyka	AGE:27	PO:0	OV:63
*Filip Zadina	AGE:20	PO:0	OV:59

Défense #1

Défense #2

Gardien

Dustin Byfuglien	AGE:35	PO:0	OV:78
Alex Goligoski	AGE:34	PO:0	OV:75
Jack Johnson	AGE:33	PO:0	OV:72
Mark Pysyk	AGE:28	PO:0	OV:70
Eric Gryba	AGE:32	PO:0	OV:67

*Dennis Cholowski	AGE:22	PO:0	OV:64
Steven Kampfer	AGE:31	PO:0	OV:63
Nate Prosser	AGE:33	PO:0	OV:63
Justin Holl	AGE:28	PO:0	OV:58
Jakub Zboril	AGE:23	PO:0	OV:53

Thomas Greiss	AGE:34	PO:0	OV:83
James Reimer	AGE:32	PO:0	OV:66
Tristan Jarry	AGE:24	PO:0	OV:66
Jonathan Quick	AGE:34	PO:0	OV:65

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	Information
Alex Schoenborn	Red Wings	2014	72	RW
Arnaud Durandeau	Red Wings
Cam Dineen	Red Wings
Colby Williams	Red Wings
Connor Hobbs	Red Wings
Greg Meireles	Red Wings
Joe Veleno	Red Wings	12	20
Lane Zablocki	Red Wings
Mason Marchment	Red Wings
Mitchell Stephens	Red Wings
Otto Koivula	Red Wings
Vladislav Kara	Red Wings
William Lockwood	Red Wings	2016	64
Zach Pochiro	Red Wings	2013	112	C/LW

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
14		FLA STL DET	STL CHI	STL MWD	DET
15	DET	DET NYI	DET	NYR	DET	DET NYI	DET
16	DET [CON: LAS]	DET	DET	DET	DET	DET	DET
17	DET	DET	DET	DET	DET	DET	DET
18	DET	DET	DET	DET	DET	DET	DET

[2020-04-09 09:16:14] - Red Wings didn't make playoff for year 13.
[2020-03-01 15:23:51] - TRADE : From Red Wings to Rangers : Patrick Marleau (71).
[2020-03-01 15:23:51] - TRADE : From Rangers to Red Wings : Cam Dineen (P), Y:15-RND:4-NYR.
[2020-02-28 10:31:28] - TRADE : From Red Wings to Islanders : Y:14-RND:2-NYI.
[2020-02-28 10:31:28] - TRADE : From Islanders to Red Wings : Y:15-RND:2-NYI.
[2020-02-26 07:32:10] - TRADE : From Red Wings to Islanders : Jeff Petry (79).
[2020-02-26 07:32:10] - TRADE : From Islanders to Red Wings : Joe Veleno (P), Y:14-RND:2-NYI, Y:15-RND:6-NYI, Conditional Draft Pick - Y:14-RND:1-CGY.
[2020-02-23 11:33:03] - TRADE : From Red Wings to Rangers : Blake Coleman (76).
[2020-02-23 11:33:03] - TRADE : From Rangers to Red Wings : Sam Bennett (69), Jakub Zboril (53), Y:14-RND:3-STL, Y:14-RND:3-CHI.
[2020-02-12 08:56:05] - TRADE : From Red Wings to Wild : Richard Panik (73).
[2020-02-12 08:56:05] - TRADE : From Wild to Red Wings : Otto Koivula (P), Y:14-RND:4-MWD.
[2020-01-04 10:49:04] - TRADE : From Blues to Red Wings : Connor Hobbs (P), Y:14-RND:2-STL, Y:14-RND:4-STL.
[2020-01-04 10:49:04] - TRADE : From Red Wings to Blues : Joe Pavelski (80), 3 000 000 $ (Salary Cap).
[2019-10-09 21:36:21] - TRADE : From Red Wings to Flyers : Y:15-RND:4-DET.
[2019-10-09 21:36:21] - TRADE : From Flyers to Red Wings : Pontus Aberg (69).
[2019-07-10 19:26:00] - Greg Meireles has been added to Red Wings.
[2019-07-07 14:46:17] - Jarrett Burton has been deleted from Red Wings.
[2019-07-07 14:46:09] - Griffen Molino has been deleted from Red Wings.
[2019-07-07 14:46:02] - Eetu Laurikainen has been deleted from Red Wings.

[2020-04-08 13:09:29] Alex Goligoski from Red Wings is back from Sports Hernia Injury.
[2020-04-08 13:09:29] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-04-08 13:09:10] Auto Lines Partial Function has been run for Red Wings.
[2020-04-08 13:09:10] Auto Roster Partial Function has been run for Red Wings.
[2020-04-08 13:09:10] Red Wings roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2020-04-08 10:55:13] Jonathan Quick from Red Wings is back from Exhaustion.
[2020-04-08 10:55:13] Thomas Greiss from Red Wings is back from Bruised Right Leg Injury.
[2020-04-07 08:29:30] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-04-07 08:29:28] Jonathan Quick from Red Wings injured (Exhaustion)
[2020-04-06 07:48:34] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-04-05 11:03:37] Auto Lines Partial Function has been run for Red Wings.
[2020-04-05 11:03:37] Auto Roster Partial Function has been run for Red Wings.
[2020-04-05 11:03:37] Red Wings roster errors : Too many Players available in Pro Team! 19 Dressed. Maximum is 18. Some errors will be automatically fixed.
[2020-04-03 09:21:31] Kevin Hayes from Red Wings is back from Exhaustion.
[2020-04-02 09:37:32] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-04-02 09:37:31] Kevin Hayes from Red Wings is injured from Exhaustion.
[2020-04-02 09:36:33] Auto Lines Partial Function has been run for Red Wings.
[2020-04-02 09:36:32] Auto Roster Partial Function has been run for Red Wings.
[2020-04-02 09:36:32] Red Wings roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2020-04-01 09:28:49] Kevin Hayes from Red Wings is back from Exhaustion.
[2020-03-31 09:55:33] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-03-31 09:55:33] Kevin Hayes from Red Wings is injured from Exhaustion.
[2020-03-29 13:41:18] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-03-26 10:45:10] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-03-25 10:07:10] Red Wings lines for next game are empty. Current rosters/lines are not erased.
[2020-03-25 10:05:51] Auto Lines Partial Function has been run for Red Wings.
[2020-03-25 10:05:51] Auto Roster Partial Function has been run for Red Wings.
[2020-03-25 10:05:51] Red Wings roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.

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
12	82	41	24	0	6	3	5	3	281	234	47	41	19	10	0	3	3	5	1	139	110	29	41	22	14	0	3	0	0	2	142	124	18	82	281	498	779	1	7	106	80	84	20	2740	878	893	931	72	2739	763	828	2179	315	70	22.22%	335	61	81.79%	2	1477	2967	49.78%	1472	3005	48.99%	642	1283	50.04%	1972	1382	1998	588	1004	498
13	82	21	47	0	4	5	4	1	226	279	-53	41	11	22	0	3	3	1	1	115	146	-31	41	10	25	0	1	2	3	0	111	133	-22	64	226	415	641	5	3	69	82	67	11	2263	757	803	676	44	2473	707	895	2139	326	61	18.71%	391	81	79.28%	2	1151	2573	44.73%	1301	2846	45.71%	590	1283	45.99%	1863	1251	2053	631	1052	515
Total Saison Régulière	164	62	71	0	10	8	9	4	507	513	-6	82	30	32	0	6	6	6	2	254	256	-2	82	32	39	0	4	2	3	2	253	257	-4	146	507	913	1420	6	10	175	162	151	31	5003	1635	1696	1607	116	5212	1470	1723	4318	641	131	20.44%	726	142	80.44%	4	2628	5540	47.44%	2773	5851	47.39%	1232	2566	48.01%	3835	2633	4051	1219	2057	1014
Séries
12	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	3	6	-3	2	0	2	0	0	0	0	0	3	9	-6	0	6	11	17	0	0	2	1	3	0	125	30	54	41	0	156	37	42	108	10	0	0.00%	19	2	89.47%	0	81	157	51.59%	89	170	52.35%	40	62	64.52%	92	63	99	29	48	23
Total Séries	4	0	4	0	0	0	0	0	6	15	-9	2	0	2	0	0	0	0	0	3	6	-3	2	0	2	0	0	0	0	0	3	9	-6	0	6	11	17	0	0	2	1	3	0	125	30	54	41	0	156	37	42	108	10	0	0.00%	19	2	89.47%	0	81	157	51.59%	89	170	52.35%	40	62	64.52%	92	63	99	29	48	23