Monsters
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Yannick Ferland
	Entraîneur	Gerard Gallant
	Division	Metropolitain
	Conférence	Eastern
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Nationwide Arena
	Capacité	22,000
	Assistance
	Billets de saison	0
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	9
	Limite contact	32 / 40
	Espoirs	29
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	88,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
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	14,554,952$
	Compte bancaire projeté	14,554,952$
Historique d'équipe
	Saison actuelle	0-0
	Historique	0-0-0


	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	Andrei Kuzmenko		X	X		100.00	30	31	63	59	36	76	89	58	43	59	54	49	52	50	55	0	85	0	1	29	2	6,900,000$
2	Ross Colton	X	X	X		100.00	55	33	59	58	37	72	87	56	54	56	54	51	41	53	60	0	85	0	1	28	2	4,000,000$
3	John Beecher	X	X	X		100.00	43	33	60	54	51	64	99	53	64	53	50	56	36	45	51	0	85	0	1	24	2	750,000$
4	Kaapo Kakko		X	X		100.00	37	32	59	57	45	75	98	57	43	58	53	51	49	53	54	0	85	0	1	24	1	2,400,000$
5	Alexis Lafreniere		X	X		100.00	44	32	59	59	41	81	99	60	43	58	54	50	45	53	55	0	85	0	1	23	1	2,350,000$
6	Aatu Raty (R)	X	X	X		100.00	52	32	57	53	39	55	46	50	57	53	53	46	37	42	46	0	85	0	0	22	3	750,000$
7	Ryan Strome	X	X	X		100.00	36	39	55	59	38	79	99	58	64	59	52	52	38	72	67	0	85	0	1	31	3	6,300,000$
8	Morgan Geekie	X	X	X		100.00	46	32	61	59	46	79	99	60	62	58	57	53	45	52	58	0	85	0	1	26	4	2,000,000$
9	Alexei Toropchenko		X	X		100.00	60	33	60	56	58	67	99	55	43	54	51	56	38	49	54	0	85	0	1	26	4	1,250,000$
10	Mathieu Joseph		X	X		100.00	51	33	58	56	37	69	84	56	43	56	51	54	38	56	57	0	85	0	1	28	2	2,950,000$
11	Curtis Lazar	X	X	X		100.00	56	33	60	55	40	62	72	53	63	54	50	52	34	62	59	0	85	0	1	30	4	1,300,000$
12	Justin Brazeau		X	X		100.00	48	31	62	55	60	65	99	55	43	54	52	53	38	45	51	0	85	0	1	27	3	1,000,000$
13	Urho Vaakanainen				X	100.00	35	30	63	60	38	73	80	53	30	67	43	54	36	49	48	0	85	0	1	26	4	1,100,000$
14	Tony DeAngelo				X	100.00	33	30	61	61	30	75	59	53	30	68	47	44	37	57	57	0	85	0	1	29	1	3,500,000$
15	Erik Karlsson				X	100.00	34	30	64	64	32	92	99	58	30	72	49	48	40	82	78	0	85	0	1	35	2	11,500,000$
16	Hampus Lindholm				X	100.00	34	31	59	60	50	77	56	53	30	66	46	51	38	70	70	0	85	0	1	31	3	6,500,000$
17	Dougie Hamilton				X	100.00	43	31	61	63	58	81	77	56	30	72	49	47	60	73	74	0	85	0	1	32	2	8,500,000$
18	T.J. Brodie				X	100.00	33	30	63	60	33	75	84	53	30	66	43	51	36	78	64	0	85	0	1	35	2	1,350,000$
Rayé
1	Jack Quinn		X	X		88.36	35	31	62	58	36	74	83	56	43	58	54	49	53	46	52	0	85	0	1	23	1	725,000$
2	Tanner Jeannot		X	X		100.00	68	54	53	55	49	64	85	53	43	53	51	49	38	52	54	0	85	0	1	28	1	1,200,000$
3	Travis Hamonic				X	100.00	44	31	62	59	33	73	81	51	30	62	42	52	35	76	63	0	85	0	1	34	2	1,400,000$
Équipe Mineure
1	Liam Foudy		X	X		100.00	28	30	56	48	37	50	10	48	43	50	47	42	30	45	43	0	85	0	1	25	1	775,000$
2	Ty Dellandrea	X	X	X		100.00	55	41	56	55	39	66	82	53	63	53	49	52	33	48	52	0	85	0	1	24	2	1,300,000$
3	Samuel Helenius (R)	X	X	X		100.00	65	38	56	53	50	57	67	51	52	52	51	46	35	42	47	0	85	0	0	22	3	750,000$
4	Marian Studenic		X	X		100.00	32	31	47	48	38	50	10	48	43	47	47	42	30	42	42	0	85	0	1	26	1	975,000$
5	Jonatan Berggren		X	X		100.00	34	31	63	55	37	69	99	55	43	55	53	48	38	46	47	0	85	0	1	24	1	725,000$
6	Collin Graf		X	X		100.00	33	31	60	56	39	64	46	53	43	54	52	54	35	42	49	0	85	0	1	22	3	1,200,000$
7	Nikita Okhotyuk				X	100.00	47	30	50	56	34	61	38	47	30	61	40	43	34	44	44	0	85	0	1	24	2	750,000$

	MOYENNE D’ÉQUIPE					99.45	44	33	60	58	42	73	84	55	44	60	50	51	41	58	58	0	85	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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Alex Nedeljkovic	100.00	74	93	81	72	76	72	73	76	75	74	75	68	69	0	85	0	1	29	1	3,750,000$
2	Jakub Dobes (R)	100.00	74	86	68	76	75	73	74	75	75	74	79	56	56	0	85	0	0	24	2	750,000$
Rayé
Équipe Mineure
1	Dustin Tokarski	100.00	71	83	62	71	72	71	72	69	70	72	70	66	65	0	85	0	1	35	1	975,000$
2	Jet Greaves	100.00	73	86	68	69	75	72	73	72	75	74	71	56	58	0	85	0	1	24	2	900,000$

	MOYENNE D’ÉQUIPE	100.00	74	90	75	74	76	73	74	76	75	74	77	62	63	0	85	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Gerard Gallant	99	99	99	99	99	99	99	CAN	61	3	800,000$

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	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Type	Salaire actuel	Salaire restant	Plafond salarial Non Activé	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	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	28.00	203 Lbs	6 ft2	2.26	3,140,217$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
72,225,000$	62,700,000$	32,899,999$	26,799,998$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Morgan Geekie	Ryan Strome	Alexis Lafreniere	35	1	2	2
2	Andrei Kuzmenko	Ross Colton	Kaapo Kakko	35	1	2	2
3	Mathieu Joseph	John Beecher	Aatu Raty	20	1	2	2
4	Alexei Toropchenko	Curtis Lazar	Justin Brazeau	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Karlsson	Tony DeAngelo	35	1	2	2
2	Hampus Lindholm	Dougie Hamilton	35	1	2	2
3	Urho Vaakanainen	T.J. Brodie	20	1	2	2
4	T.J. Brodie	Erik Karlsson	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Morgan Geekie	Ryan Strome	Alexis Lafreniere	50	1	2	2
2	Andrei Kuzmenko	Ross Colton	Kaapo Kakko	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Hampus Lindholm	Erik Karlsson	50	1	2	2
2	Dougie Hamilton	Tony DeAngelo	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Ryan Strome	Mathieu Joseph	50	1	2	2
2	John Beecher	Ross Colton	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Urho Vaakanainen	Erik Karlsson	50	1	2	2
2	T.J. Brodie	Hampus Lindholm	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Strome	50	1	2	2	Urho Vaakanainen	Erik Karlsson	50	1	2	2
2	John Beecher	50	1	2	2	T.J. Brodie	Hampus Lindholm	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Ryan Strome	Morgan Geekie	50	1	2	2
2	Alexis Lafreniere	Kaapo Kakko	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	T.J. Brodie	Erik Karlsson	50	1	2	2
2	Urho Vaakanainen	Tony DeAngelo	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Morgan Geekie	Ryan Strome	Alexis Lafreniere	Dougie Hamilton	Erik Karlsson

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
John Beecher	Ross Colton	Mathieu Joseph	Erik Karlsson	Urho Vaakanainen

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ryan Strome, Andrei Kuzmenko, Morgan Geekie	Aatu Raty, Kaapo Kakko	Mathieu Joseph

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Erik Karlsson, Hampus Lindholm, T.J. Brodie	Dougie Hamilton	Urho Vaakanainen, T.J. Brodie

Tirs de pénalité
Ross Colton, Morgan Geekie, Andrei Kuzmenko, Ryan Strome, Aatu Raty

Gardien
#1 : Alex Nedeljkovic, #2 : Jakub Dobes

Lignes d’attaque personnalisées en prolongation
Ryan Strome, Morgan Geekie, Alexis Lafreniere, Ross Colton, John Beecher, Alexei Toropchenko, Alexei Toropchenko, Kaapo Kakko, Justin Brazeau, Andrei Kuzmenko, Mathieu Joseph

Lignes de défense personnalisées en prolongation
Hampus Lindholm, Erik Karlsson, Tony DeAngelo, T.J. Brodie, Urho Vaakanainen

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%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	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%	0	0	0%	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%	0	0	0%	0	0	0%

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	7200	6100	2500	5000	1200
Prix des billets	89	63	43	27	129
Assistance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0%	0$	0$	22000	90

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	72,225,000$	14,038,500$	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$	22	1

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	12	0$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	14,554,952$	14,554,952$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	88,000,000$	88,000,000$	-65,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Andrei Kuzmenko	AGE:29	PO:0	OV:0
Ross Colton	AGE:28	PO:0	OV:0
John Beecher	AGE:24	PO:0	OV:0
Kaapo Kakko	AGE:24	PO:0	OV:0
Liam Foudy	AGE:25	PO:0	OV:0
Ty Dellandrea	AGE:24	PO:0	OV:0
Alexis Lafreniere	AGE:23	PO:0	OV:0
Aatu Raty (R)	AGE:22	PO:0	OV:0
Samuel Helenius (R)	AGE:22	PO:0	OV:0
Ryan Strome	AGE:31	PO:0	OV:0
Morgan Geekie	AGE:26	PO:0	OV:0
Alexei Toropchenko	AGE:26	PO:0	OV:0
Mathieu Joseph	AGE:28	PO:0	OV:0
Marian Studenic	AGE:26	PO:0	OV:0
Jack Quinn	AGE:23	PO:0	OV:0
Tanner Jeannot	AGE:28	PO:0	OV:0
Jonatan Berggren	AGE:24	PO:0	OV:0
Curtis Lazar	AGE:30	PO:0	OV:0
Collin Graf	AGE:22	PO:0	OV:0
Justin Brazeau	AGE:27	PO:0	OV:0

Ross Colton	AGE:28	PO:0	OV:0
John Beecher	AGE:24	PO:0	OV:0
Ty Dellandrea	AGE:24	PO:0	OV:0
Aatu Raty (R)	AGE:22	PO:0	OV:0
Samuel Helenius (R)	AGE:22	PO:0	OV:0
Ryan Strome	AGE:31	PO:0	OV:0
Morgan Geekie	AGE:26	PO:0	OV:0
Curtis Lazar	AGE:30	PO:0	OV:0

Andrei Kuzmenko	AGE:29	PO:0	OV:0
Ross Colton	AGE:28	PO:0	OV:0
John Beecher	AGE:24	PO:0	OV:0
Kaapo Kakko	AGE:24	PO:0	OV:0
Liam Foudy	AGE:25	PO:0	OV:0
Ty Dellandrea	AGE:24	PO:0	OV:0
Alexis Lafreniere	AGE:23	PO:0	OV:0
Aatu Raty (R)	AGE:22	PO:0	OV:0
Samuel Helenius (R)	AGE:22	PO:0	OV:0
Ryan Strome	AGE:31	PO:0	OV:0
Morgan Geekie	AGE:26	PO:0	OV:0
Alexei Toropchenko	AGE:26	PO:0	OV:0
Mathieu Joseph	AGE:28	PO:0	OV:0
Marian Studenic	AGE:26	PO:0	OV:0
Jack Quinn	AGE:23	PO:0	OV:0
Tanner Jeannot	AGE:28	PO:0	OV:0
Jonatan Berggren	AGE:24	PO:0	OV:0
Curtis Lazar	AGE:30	PO:0	OV:0
Collin Graf	AGE:22	PO:0	OV:0
Justin Brazeau	AGE:27	PO:0	OV:0

Défense #1

Défense #2

Gardien

Urho Vaakanainen	AGE:26	PO:0	OV:0
Travis Hamonic	AGE:34	PO:0	OV:0
Tony DeAngelo	AGE:29	PO:0	OV:0
Erik Karlsson	AGE:35	PO:0	OV:0

Hampus Lindholm	AGE:31	PO:0	OV:0
Dougie Hamilton	AGE:32	PO:0	OV:0
Nikita Okhotyuk	AGE:24	PO:0	OV:0
T.J. Brodie	AGE:35	PO:0	OV:0

Alex Nedeljkovic	AGE:29	PO:0	OV:0
Dustin Tokarski	AGE:35	PO:0	OV:0
Jakub Dobes (R)	AGE:24	PO:0	OV:0
Jet Greaves	AGE:24	PO:0	OV:0

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	Information	Lien
Aidan-Mcdonough	Jackets	2020	163	NHL-2019-195	Lien
Carson-Rehkopf	Jackets	2023	46	2023-46	Lien
Casper-Nassen	Jackets	2023	179	2023-179	Lien
Dmitri-Semykin	Jackets	2018	126
Elliott-Groenewold	Jackets	2024	179	2024-110	Lien
Jack-Hughes	Jackets	2022	64	0
Jan-Mysak	Jackets	2020	33	NHL-2020-48	Lien
Jimmy-Snuggerud	Jackets	2022	19	0
Joona-Koppanen	Jackets	2017	96
Kirill-Yemelyanov	Jackets	2025	151	2025-165
Konsta-Helenius	Jackets	2024	15	2024-14	Lien
Lian-Bichsel	Jackets	2022	35	0
Luca-Del-Bel-Belluz	Jackets	2022	30	0
Marco-Mignosa	Jackets	2025	179	2025-215
Marcus-Karlberg	Jackets	2018	99
Mason-Langenbrunner	Jackets	2020	147	NHL-2020-151	Lien
Oliver-Kapanen	Jackets	2021	66	0	Lien
Ondrej-Becher	Jackets	2024	50	2024-80	Lien
Reid-Schaefer	Jackets	2022	38	0
Ryan-Walsh	Jackets	2023	151	2023-151	Lien
Seth-Barton	Jackets	2018	142
Tanner-Howe	Jackets	2024	47	2024-46	Lien
Terik-Parascak	Jackets	2024	17	2024-17	Lien
Theo-Stockselius	Jackets	2025	50	2025-54
Tim-Söderlund	Jackets	2017	140
Trevor-Kuntar	Jackets	2020	87	NHL-2020-89	Lien
Tyler-Brennan	Jackets	2022	52	0
Yaroslav-Korostelyov	Jackets	2024	151	2024-194	Lien
Zachary-Uens	Jackets	2020	170

Choix au repêchage

Année	R1	R2	R3	R4	R5
27	CBJ	CBJ	CBJ	CBJ	CBJ
28	CBJ	CBJ	CBJ	CBJ	CBJ
29	CBJ	CBJ	CBJ	CBJ	CBJ
30	CBJ	CBJ	CBJ	CBJ	CBJ
31	CBJ	CBJ	CBJ	CBJ	CBJ
Choix au repêchage conditionnel

La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue ou du STHS.

Jackets Historique de transactions

[2026-03-30 9:47:54 PM] - Monsters didn't make playoff for year 26.
[2026-03-30 9:47:54 PM] - Jackets didn't make playoff for year 26.
[2026-02-02 8:18:44 PM] - TRADE : From Jackets to Rangers : Charlie Coyle.
[2026-02-02 8:18:44 PM] - TRADE : From Rangers to Jackets : Luca-Del-Bel-Belluz (P).
[2026-01-11 9:25:32 PM] - TRADE : From Penguins to Jackets : Ondrej-Becher (P).
[2026-01-11 9:25:32 PM] - TRADE : From Jackets to Penguins : David Savard.
[2025-12-12 9:08:56 PM] - TRADE : From Hawks to Jackets : Ross Colton.
[2025-12-10 9:40:37 PM] - TRADE : From Jackets to Hawks : Cam Talbot.
[2025-11-05 8:41:54 PM] - TRADE : From Jackets to Capitals : Joe Pavelski.
[2025-11-05 8:41:54 PM] - TRADE : From Capitals to Jackets : Ty Dellandrea.
[2025-10-14 8:03:09 PM] - TRADE : From Senators to Jackets : Cam Talbot.
[2025-10-11 11:47:50 AM] - Marco Mignosa has been added to Jackets.
[2025-10-11 11:47:50 AM] - Kirill Yemelyanov has been added to Jackets.
[2025-10-06 5:26:04 PM] - Theo-Stockselius has been added to Jackets.
[2025-09-19 8:52:53 AM] - TRADE : From Penguins to Jackets : Morgan Geekie, Jack Quinn, Carson-Rehkopf (P), Tanner-Howe (P).
[2025-09-19 8:52:53 AM] - TRADE : From Jackets to Penguins : Jake Guentzel, Zachary Bolduc.
[2025-08-26 10:27:26 PM] - TRADE : From UtahHC to Jackets : Ryan Strome.
[2025-08-26 10:27:26 PM] - TRADE : From Jackets to UtahHC : Yegor Chinakhov.
[2025-08-21 8:48:12 AM] - Travis Hamonic was added to Jackets.
[2025-08-21 8:48:06 AM] - T.J. Brodie was added to Jackets.
[2025-08-17 9:41:27 PM] - Joe Pavelski was added to Jackets.
[2025-08-17 9:41:19 PM] - Curtis Lazar was added to Jackets.
[2025-08-10 9:57:25 PM] - David Savard was added to Jackets.
[2025-08-10 9:57:20 PM] - Charlie Coyle was added to Jackets.
[2025-07-08 9:50:25 PM] - TRADE : From Leafs to Jackets : Jet Greaves.
[2025-07-08 9:50:25 PM] - TRADE : From Jackets to Leafs : Jesper Boqvist.
[2025-06-29 3:50:24 PM] - Semyon Varlamov was released.
[2025-06-29 3:50:24 PM] - Jackets paid $0 to release Semyon Varlamov.
[2025-06-29 3:50:20 PM] - Anders Lee was released.
[2025-06-29 3:50:20 PM] - Jackets paid $0 to release Anders Lee.
[2025-06-29 3:50:17 PM] - Reilly Smith was released.
[2025-06-29 3:50:17 PM] - Jackets paid $0 to release Reilly Smith.
[2025-06-29 3:50:13 PM] - Teuvo Teravainen was released.
[2025-06-29 3:50:13 PM] - Jackets paid $0 to release Teuvo Teravainen.

[2026-03-29 7:38:20 PM] Tanner Jeannot from Jackets is back from Sports Hernia Injury.
[2026-03-25 7:06:18 PM] Successfully loaded Jackets lines done with Web Base Client and SQLite Database from IP:173.177.29.71 .
[2026-03-24 7:12:30 PM] Game 1124 - Tanner Jeannot from Jackets is injured (Sports Hernia) and is out for 1 week.
[2026-03-19 9:26:08 PM] Monsters lines for next game are empty. Current rosters/lines are not erased. But, Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-03-18 7:06:32 PM] Successfully loaded Jackets lines done with Web Base Client and SQLite Database from IP:24.203.132.106 .
[2026-03-16 7:35:38 PM] Alexei Toropchenko from Jackets is back from Strained Left Elbow Injury.
[2026-03-15 7:37:12 PM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2026-03-13 9:22:04 PM] Monsters lines for next game are empty. Current rosters/lines are not erased. But, Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-03-13 9:22:04 PM] Farm Game #1111 - Marian Studenic from Monsters has scored a Hat Trick!
[2026-03-11 8:12:48 PM] Successfully loaded Jackets lines done with Web Base Client and SQLite Database from IP:163.116.142.117 .
[2026-03-09 7:42:42 PM] Monsters lines for next game are empty. Current rosters/lines are not erased. But, Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-03-06 7:46:22 PM] Monsters lines for next game are empty. Current rosters/lines are not erased.
[2026-03-05 9:43:16 PM] Monsters lines for next game are empty. Current rosters/lines are not erased. But, Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-03-03 7:07:18 PM] Monsters lines for next game are empty. Current rosters/lines are not erased. But, Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-03-01 7:35:01 PM] Monsters lines for next game are empty. Current rosters/lines are not erased. But, Jackets lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2026-02-27 10:52:36 PM] Successfully loaded Jackets lines done with Web Base Client and SQLite Database from IP:173.177.29.71 .
[2026-02-27 10:52:36 PM] Aatu Raty of Jackets was sent to pro.
[2026-02-26 8:58:22 PM] Auto Lines Function has been run for Jackets.
[2026-02-26 8:58:22 PM] Auto Roster Partial Function has been run for Jackets.

Jack Quinn est dehors pour 5 jours à cause de Torso Injury.

Jackets Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Jackets Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Jackets Statistiques de l'Équipe de Carrière

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	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

Jackets Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Jackets Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Jackets
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: Yannick Ferland \| Morale : 85 \| Moyenne d’équipe : N/A