Norfolk Admirals
Domicile
Formation
Statistiques joueurs
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Blessure/Suspension

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Kirby
	Entraîneur	Barry Trotz
	Division	Atlantic
	Conférence	Eastern
	Capitaine	Martin St Louis
	Assistant #1	Vincent Lecavalier
	Assistant #2	Steven Stamkos
Informations de l’aréna
	Nom
	Capacité	18,000
	Assistance
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	28
	Limite contact	51 / 250
	Espoirs	31
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	75,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	7,752,595$
	Compte bancaire projeté	7,752,595$

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	Alexander Semin	0		X			100.00	78	73	85	99	91	99	99	99	71	99	99	90	99	81	86	87	87	86	2	25	4	7,250,000$
2	Daniel Sedin	0		X			100.00	72	74	95	99	82	99	99	99	71	99	98	84	98	89	88	87	87	85	2	29	3	6,100,000$
3	Henrik Sedin	0	X				100.00	73	74	92	99	83	99	99	99	94	99	93	87	93	89	88	87	87	85	2	29	3	6,100,000$
4	Martin St Louis (C)	0			X		100.00	73	76	99	99	76	99	99	99	75	99	93	84	93	99	99	87	87	85	2	34	3	5,250,000$
5	Brad Richards	0	X				100.00	74	76	99	99	85	99	99	99	93	99	90	80	90	89	95	87	87	84	2	29	2	2,000,000$
6	Steven Stamkos (A)	0			X		100.00	83	75	95	93	86	99	99	99	87	96	99	85	99	69	78	87	87	84	2	19	4	6,750,000$
7	Vincent Lecavalier (A)	0	X				100.00	88	86	88	99	98	99	99	99	97	97	89	79	89	89	94	87	87	84	2	29	3	7,727,273$
8	Ryan Malone	0		X			100.00	99	95	84	85	97	99	99	97	73	88	90	85	90	91	89	87	87	82	2	30	3	4,500,000$
9	T.J. Oshie	0	X				100.00	98	74	95	89	84	99	99	98	74	89	86	91	86	77	78	87	87	82	2	23	2	3,000,000$
10	Sean Bergenheim	0		X			100.00	99	88	89	89	88	94	94	94	70	79	80	88	80	81	81	87	87	79	2	25	2	1,250,000$
11	Steve Downie	0			X		100.00	96	86	42	91	87	99	99	95	78	85	88	80	88	75	78	87	87	79	2	22	1	1,850,000$
12	Dominic Moore	0	X				100.00	83	88	91	83	85	98	98	96	92	82	78	85	78	89	81	87	87	78	2	29	1	1,850,000$
13	Pavel Kubina	0				X	100.00	93	75	86	91	99	99	99	93	67	93	79	94	79	95	96	87	87	85	2	32	1	3,850,000$
14	Shea Weber	0				X	100.00	99	98	95	93	99	99	99	93	67	90	91	86	91	79	83	87	87	83	2	24	4	6,750,000$
15	Mattias Ohlund	0				X	100.00	97	85	86	91	99	89	89	80	67	82	67	93	67	97	98	87	87	82	2	33	3	3,607,143$
16	Brett Clark	0				X	100.00	83	75	96	93	85	92	92	88	67	86	73	92	73	97	93	87	87	81	2	33	1	1,500,000$
17	Mike Lundin	0				X	100.00	77	75	97	88	86	85	85	90	67	84	78	93	77	81	78	87	87	78	2	25	2	3,000,000$
18	Victor Hedman	0				X	100.00	86	82	82	87	99	94	94	83	67	83	75	88	75	69	75	87	87	78	2	19	1	3,500,000$
Rayé
1	Simon Gagne	0		X			100.00	80	91	87	99	85	93	93	97	70	89	89	86	89	89	91	87	87	82	2	29	0	0$
2	Randy Jones	0				X	100.00	84	74	92	88	88	87	87	93	67	89	83	83	83	87	82	87	87	78	2	28	0	0$
Équipe Mineure
1	Andrew Cogliano	0	X				100.00	84	94	97	99	80	99	99	85	77	80	77	82	77	75	78	87	87	77	2	22	2	1,000,000$
2	Boyd Gordon	0	X				100.00	78	76	99	88	87	85	85	95	93	76	75	89	75	83	79	87	87	76	2	26	1	1,100,000$
3	Michael Grabner	0			X		100.00	74	74	99	87	75	83	83	98	77	81	83	77	83	75	78	87	87	76	2	22	2	1,000,000$
4	Nate Thompson	0	X				100.00	95	99	88	89	89	93	93	84	90	74	69	89	69	81	82	87	87	76	2	25	2	850,000$
5	Marc Pouliot	0	X				100.00	83	95	93	88	85	78	78	89	78	78	81	83	81	79	78	87	87	75	2	24	2	750,000$
6	Nathan Gerbe	0	X				100.00	74	74	99	95	73	80	80	97	71	80	78	78	78	75	72	87	87	75	2	22	2	950,000$
7	Zack Stortini	0			X		100.00	99	94	52	84	99	98	98	87	78	74	71	78	71	79	79	87	87	75	2	24	2	900,000$
8	Brandon Prust	0		X			100.00	85	93	43	85	84	95	95	89	72	75	72	79	72	81	77	87	87	74	2	25	2	900,000$
9	James Wright	0	X				100.00	86	99	97	85	87	87	87	92	77	71	70	84	70	69	73	87	87	74	2	19	2	700,000$
10	Kyle Chipchura	0	X				100.00	84	99	84	89	90	93	93	81	87	72	73	84	73	77	76	87	87	74	2	23	2	900,000$
11	Teddy Purcell	0			X		100.00	81	77	99	86	87	89	89	87	77	76	75	76	75	79	78	87	87	74	2	24	2	850,000$
12	Rod Pelley	0	X				100.00	91	99	91	81	84	92	92	89	80	75	69	76	69	81	82	87	87	73	2	25	1	550,000$
13	Alexander Killorn	0		X			100.00	79	77	99	87	81	63	63	67	90	67	67	83	67	77	75	87	87	67	2	18	2	750,000$
14	Mathieu Roy	0				X	100.00	95	97	93	75	92	83	83	93	89	87	67	91	67	83	79	87	87	78	2	26	2	750,000$
15	Sami Lepisto	0				X	100.00	84	72	85	84	83	90	90	83	89	79	69	87	69	81	83	87	87	76	2	25	2	750,000$
16	Brad Richardson	0			X		100.00	92	95	95	87	84	99	99	88	81	79	78	84	78	79	78	87	87	77	2	24	0	0$
17	Petr Prucha	0			X		100.00	82	96	99	96	75	99	99	90	75	74	80	77	80	85	83	87	87	77	2	27	0	0$
18	Adam Hall	0			X		100.00	88	99	97	80	91	99	99	91	82	71	72	87	72	91	89	87	87	76	2	29	0	0$
19	Chris Durno	0		X			100.00	91	94	80	75	91	84	84	90	81	73	75	77	75	89	83	87	87	73	2	29	0	0$
20	Blair Jones	0	X				100.00	90	99	92	91	95	66	66	67	83	67	67	84	67	77	76	87	87	69	2	23	2	650,000$
21	Mattias Ritola	0	X				100.00	77	78	99	91	84	63	63	67	67	67	67	76	67	75	75	87	87	67	2	22	1	516,667$
22	Paul Ranger	0				X	100.00	78	75	93	89	92	70	70	79	67	74	82	89	81	81	81	87	87	75	2	25	0	0$
23	Matt Smaby	0				X	100.00	99	96	89	79	99	71	71	68	67	71	67	84	67	81	77	87	87	73	2	25	0	0$
24	Michael Vernace	0				X	100.00	90	74	93	83	88	73	73	67	67	67	67	85	67	69	75	87	87	72	2	23	0	0$
25	Vladimir Mihalik	0				X	100.00	78	79	99	79	99	63	63	67	67	67	67	77	67	75	77	87	87	68	2	22	0	0$
26	Scott Jackson	0				X	100.00	75	78	99	74	82	62	62	67	67	67	67	77	67	75	71	87	87	66	2	22	0	0$

	MOYENNE D’ÉQUIPE						100.00	85	85	90	89	88	89	89	88	77	81	78	84	78	82	82	87	87	77

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	Martin Brodeur	0	100.00	99	99	99	99	99	99	99	99	99	99	99	99	99	18	87	94	2	38	1	5,200,000$
2	Dan Ellis	0	100.00	95	89	88	95	97	95	95	97	97	94	96	86	93	42	87	90	2	30	1	1,500,000$
Rayé
1	Mike Smith	0	100.00	91	94	99	99	97	95	95	97	97	97	96	85	87	37	87	90	2	28	0	0$
Équipe Mineure
1	Jonathan Bernier	0	100.00	94	89	81	93	94	94	94	94	94	91	94	89	97	92	87	88	2	21	2	900,000$
2	Dustin Tokarski	0	100.00	86	88	87	93	86	86	86	86	86	86	86	88	96	77	87	84	2	20	2	600,000$

	MOYENNE D’ÉQUIPE		100.00	93	92	91	96	95	94	94	95	95	93	94	89	94	53	87	89

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Barry Trotz	82	88	87	91	91	81	70	CAN	49	3	2,040,000$

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	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 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
Alexander Semin	Lightning	LW	25	1999-11-03	RUS	No	208 Lbs	6 ft2	No	No	Assign Manually	No	No	4	2025-03-18	False	False	Pro & Farm	7,250,000$	7,250,000$	7,250,000$	7,250,000$	No	7,250,000$	7,250,000$	7,250,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Brad Richards	Lightning	C	29	1995-11-03	CAN	No	196 Lbs	6 ft0	No	No	Assign Manually	No	No	2	2025-03-18	False	False	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Brett Clark	Lightning	D	33	1991-11-03	CAN	No	195 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dan Ellis	Lightning	G	30	1994-11-03	CAN	No	193 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Daniel Sedin	Lightning	LW	29	1995-11-03	SWE	No	187 Lbs	6 ft1	No	No	Assign Manually	No	No	3		False	False	Pro & Farm	6,100,000$	6,100,000$	6,100,000$	6,100,000$	No	6,100,000$	6,100,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Dominic Moore	Lightning	C	29	1995-11-03	CAN	No	196 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	1,850,000$	1,850,000$	1,850,000$	1,850,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Henrik Sedin	Lightning	C	29	1995-11-03	SWE	No	188 Lbs	6 ft2	No	No	Assign Manually	No	No	3		False	False	Pro & Farm	6,100,000$	6,100,000$	6,100,000$	6,100,000$	No	6,100,000$	6,100,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Martin Brodeur	Lightning	G	38	1986-11-03	CAN	No	215 Lbs	6 ft2	No	No	Assign Manually	No	No	1		False	False	Pro & Farm	5,200,000$	5,200,000$	5,200,000$	5,200,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Martin St Louis	Lightning	RW	34	1990-11-03	CAN	No	177 Lbs	5 ft9	No	No	N/A	No	No	3		False	False	Pro & Farm	5,250,000$	5,250,000$	5,250,000$	5,250,000$	No	5,250,000$	5,250,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Mattias Ohlund	Lightning	D	33	1991-11-03	SWE	No	225 Lbs	6 ft4	No	No	N/A	No	No	3		False	False	Pro & Farm	3,607,143$	3,607,143$	3,607,143$	3,607,143$	No	3,607,143$	3,607,143$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Mike Lundin	Lightning	D	25	1999-11-03	USA	No	197 Lbs	6 ft2	No	No	N/A	No	No	2	2025-03-18	False	False	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No	3,000,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mike Smith	Lightning	G	28	1996-11-03	CAN	No	219 Lbs	6 ft4	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Pavel Kubina	Lightning	D	32	1992-11-03	CZE	No	250 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	3,850,000$	3,850,000$	3,850,000$	3,850,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Randy Jones	Lightning	D	28	1996-11-03	CAN	No	200 Lbs	6 ft2	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan Malone	Lightning	LW	30	1994-11-03	USA	No	220 Lbs	6 ft4	No	No	N/A	No	No	3		False	False	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	4,500,000$	No	4,500,000$	4,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Sean Bergenheim	Lightning	LW	25	1999-11-03	FIN	No	205 Lbs	5 ft10	No	No	N/A	No	No	2	2025-03-18	False	False	Pro & Farm	1,250,000$	1,250,000$	1,250,000$	1,250,000$	No	1,250,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Shea Weber	Lightning	D	24	2000-11-03	CAN	No	234 Lbs	6 ft4	No	No	Assign Manually	No	No	4	2025-03-18	False	False	Pro & Farm	6,750,000$	6,750,000$	6,750,000$	6,750,000$	No	6,750,000$	6,750,000$	6,750,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Simon Gagne	Lightning	LW	29	1995-11-03	CAN	No	195 Lbs	6 ft0	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Steve Downie	Lightning	RW	22	2002-11-03	CAN	No	200 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	1,850,000$	1,850,000$	1,850,000$	1,850,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Steven Stamkos	Lightning	RW	19	2005-11-03	CAN	No	196 Lbs	6 ft1	No	No	N/A	No	No	4	2025-03-18	False	False	Pro & Farm	6,750,000$	6,750,000$	6,750,000$	6,750,000$	No	6,750,000$	6,750,000$	6,750,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
T.J. Oshie	Lightning	C	23	2001-11-03	USA	No	194 Lbs	5 ft11	No	No	Assign Manually	No	No	2	2025-03-18	False	False	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	3,000,000$	No	3,000,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Victor Hedman	Lightning	D	19	2005-11-03	SWE	No	230 Lbs	6 ft6	No	No	N/A	No	No	1		False	False	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	3,500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Vincent Lecavalier	Lightning	C	29	1995-11-03	CAN	No	223 Lbs	6 ft4	No	No	N/A	No	No	3		False	False	Pro & Farm	7,727,273$	7,727,273$	7,727,273$	7,727,273$	No	7,727,273$	7,727,273$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	27.91	206 Lbs	6 ft2	1.96	3,588,453$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
82,534,416$	63,284,416$	54,034,416$	20,750,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alexander Semin	Henrik Sedin	Martin St Louis	40	1	2	2
2	Daniel Sedin	Brad Richards	Steven Stamkos	30	1	2	2
3	Ryan Malone	Vincent Lecavalier	Steve Downie	20	1	2	2
4	Sean Bergenheim	T.J. Oshie	Alexander Semin	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Pavel Kubina	Shea Weber	40	1	2	2
2	Mattias Ohlund	Brett Clark	30	1	2	2
3	Victor Hedman	Mike Lundin	20	1	2	2
4	Pavel Kubina	Shea Weber	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alexander Semin	Henrik Sedin	Martin St Louis	60	1	2	2
2	Daniel Sedin	Brad Richards	Steven Stamkos	40	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Pavel Kubina	Shea Weber	60	1	2	2
2	Mattias Ohlund	Brett Clark	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Alexander Semin	Daniel Sedin	60	1	2	2
2	Henrik Sedin	Martin St Louis	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Pavel Kubina	Shea Weber	60	1	2	2
2	Mattias Ohlund	Brett Clark	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Alexander Semin	60	1	2	2	Pavel Kubina	Shea Weber	60	1	2	2
2	Daniel Sedin	40	1	2	2	Mattias Ohlund	Brett Clark	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Alexander Semin	Daniel Sedin	60	1	2	2
2	Henrik Sedin	Martin St Louis	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Pavel Kubina	Shea Weber	60	1	2	2
2	Mattias Ohlund	Brett Clark	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alexander Semin	Henrik Sedin	Martin St Louis	Pavel Kubina	Shea Weber

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alexander Semin	Henrik Sedin	Martin St Louis	Pavel Kubina	Shea Weber

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Dominic Moore, Vincent Lecavalier, Ryan Malone	Dominic Moore, Vincent Lecavalier	Ryan Malone

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Victor Hedman, Mike Lundin, Mattias Ohlund	Victor Hedman	Mike Lundin, Mattias Ohlund

Tirs de pénalité
Alexander Semin, Daniel Sedin, Henrik Sedin, Martin St Louis, Brad Richards

Gardien
#1 : Martin Brodeur, #2 : Dan Ellis

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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	6000	5000	2000	4000	1000
Prix des billets	100	60	35	20	200
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
31	0 - 0%	0$	0$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	82,534,416$	82,534,416$	2,040,000$0$	0$

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

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

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	7,752,595$	7,752,595$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	75,000,000$	75,000,000$	-35,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Alexander Semin	AGE:25	PO:87	OV:86
Daniel Sedin	AGE:29	PO:87	OV:85
Ryan Malone	AGE:30	PO:87	OV:82
Simon Gagne	AGE:29	PO:87	OV:82
Sean Bergenheim	AGE:25	PO:87	OV:79
Brandon Prust	AGE:25	PO:87	OV:74
Chris Durno	AGE:29	PO:87	OV:73
Alexander Killorn	AGE:18	PO:87	OV:67

Henrik Sedin	AGE:29	PO:87	OV:85
Brad Richards	AGE:29	PO:87	OV:84
Vincent Lecavalier	AGE:29	PO:87	OV:84
T.J. Oshie	AGE:23	PO:87	OV:82
Dominic Moore	AGE:29	PO:87	OV:78
Andrew Cogliano	AGE:22	PO:87	OV:77
Boyd Gordon	AGE:26	PO:87	OV:76
Nate Thompson	AGE:25	PO:87	OV:76
Marc Pouliot	AGE:24	PO:87	OV:75
Nathan Gerbe	AGE:22	PO:87	OV:75
James Wright	AGE:19	PO:87	OV:74
Kyle Chipchura	AGE:23	PO:87	OV:74
Rod Pelley	AGE:25	PO:87	OV:73
Blair Jones	AGE:23	PO:87	OV:69
Mattias Ritola	AGE:22	PO:87	OV:67

Martin St Louis	AGE:34	PO:87	OV:85
Steven Stamkos	AGE:19	PO:87	OV:84
Steve Downie	AGE:22	PO:87	OV:79
Brad Richardson	AGE:24	PO:87	OV:77
Petr Prucha	AGE:27	PO:87	OV:77
Michael Grabner	AGE:22	PO:87	OV:76
Adam Hall	AGE:29	PO:87	OV:76
Zack Stortini	AGE:24	PO:87	OV:75
Teddy Purcell	AGE:24	PO:87	OV:74

Défense #1

Défense #2

Gardien

Pavel Kubina	AGE:32	PO:87	OV:85
Shea Weber	AGE:24	PO:87	OV:83
Mattias Ohlund	AGE:33	PO:87	OV:82
Brett Clark	AGE:33	PO:87	OV:81
Mathieu Roy	AGE:26	PO:87	OV:78
Mike Lundin	AGE:25	PO:87	OV:78
Randy Jones	AGE:28	PO:87	OV:78

Victor Hedman	AGE:19	PO:87	OV:78
Sami Lepisto	AGE:25	PO:87	OV:76
Paul Ranger	AGE:25	PO:87	OV:75
Matt Smaby	AGE:25	PO:87	OV:73
Michael Vernace	AGE:23	PO:87	OV:72
Vladimir Mihalik	AGE:22	PO:87	OV:68
Scott Jackson	AGE:22	PO:87	OV:66

Martin Brodeur	AGE:38	PO:18	OV:94
Dan Ellis	AGE:30	PO:42	OV:90
Mike Smith	AGE:28	PO:37	OV:90
Jonathan Bernier	AGE:21	PO:92	OV:88
Dustin Tokarski	AGE:20	PO:77	OV:84

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	Date de la Dernière Transaction	Lien
Adam Janosik	Lightning	0	0
Alex Berry	Lightning	0	0
Alex Hutching	Lightning	0	0
Brendan O'Donnell	Lightning	0	0
Brett Connolly	Lightning	0	0
Brock Beukeboom	Lightning	0	0
Carter Ashton	Lightning	0	0
Cedrick Desjardins	Lightning	0	0
Dana Tyrell	Lightning	0	0
Denis Kazionov	Lightning	0	0
Geoff Schemitsch	Lightning	0	0
Jame Wright	Lightning	0	0
James Mullin	Lightning	0	0
Jan Zapletal	Lightning	0	0
Jaroslav Janus	Lightning	0	0
Johan Harju	Lightning	0	0
Juraj Simek	Lightning	0	0
Kevin Quick	Lightning	0	0
Kirill Gotovets	Lightning	0	0
Luke Witkowski	Lightning	0	0
Mark Barberio	Lightning	0	0
Martins Karsums	Lightning	0	0
Matt Marshall	Lightning	0	0
Michael Zador	Lightning	0	0
Mitch Fadden	Lightning	0	0
Radko Gudas	Lightning	0	0
Richard Panik	Lightning	0	0
Riku Helenius	Lightning	0	0
Stefano Giliati	Lightning	0	0
Teigan Zahn	Lightning	0	0
Ty Wishart	Lightning	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2011	Tam	Tam	Tam		Tam	Tam	Tam
2012	Tam	Phi Tam	Tam	Tam	Tam	Tam	Tam
2013	Tam	Tam	Tam	Tam	Tam	Tam	Tam
2014	Tam	Tam	Tam	Tam	Tam	Tam	Tam
2015	Tam	Tam	Tam	Tam	Tam	Tam	Tam
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Lightning Historique de transactions

[3/26/2025 1:27:49 AM] - Daniel Sedin was added to Lightning.
[3/26/2025 1:27:09 AM] - Henrik Sedin was added to Lightning.
[2/18/2025 8:58:29 AM] - Lightning are the Playoffs Champions for year 2010!
[2/18/2025 8:58:10 AM] - Norfolk Admirals was eliminated at round 3 of year 2010.
[1/1/2025 11:56:07 PM] - New Record for Team's Most Points (12) in 1 Game for Lightning!
[1/1/2025 11:56:07 PM] - New Record for Team's Most Assists (8) in 1 Game for Lightning!
[12/18/2024 11:22:15 PM] - New Record for Team's Most Penalties Minutes (18) in 1 Game for Lightning!
[12/16/2024 11:47:06 PM] - New Record for Team's Most Penalties Minutes (14) in 1 Game for Lightning!
[12/12/2024 12:01:49 AM] - New Record for Team's Most Shots Blocked (15) in 1 Game for Lightning!
[12/3/2024 11:12:35 PM] - New Record for Team's Most Hits (20) in 1 Game for Lightning!
[11/30/2024 11:54:49 PM] - New Record for Team's Most Penalties Minutes (12) in 1 Game for Lightning!
[11/26/2024 12:52:01 AM] - New Record for Team's Most Shots Blocked (10) in 1 Game for Lightning!
[11/22/2024 11:32:02 PM] - New Record for Team's Most Hits (17) in 1 Game for Lightning!
[11/19/2024 11:25:51 PM] - New Record for Team's Most Penalties Minutes (10) in 1 Game for Lightning!
[11/17/2024 11:24:05 PM] - New Record for Team's Most Shots (25) in 1 Game for Lightning!
[11/17/2024 11:24:05 PM] - New Record for Team's Most Points (9) in 1 Game for Lightning!
[11/17/2024 11:24:05 PM] - New Record for Team's Most Assists (5) in 1 Game for Lightning!
[11/17/2024 11:24:05 PM] - New Record for Team's Most Goals (4) in 1 Game for Lightning!
[11/15/2024 11:29:29 PM] - New Record for Team's Most Hits (14) in 1 Game for Lightning!
[11/15/2024 11:29:29 PM] - New Record for Team's Most Shots (21) in 1 Game for Lightning!
[11/12/2024 11:17:55 PM] - New Record for Team's Most Hits (12) in 1 Game for Lightning!
[11/12/2024 11:17:55 PM] - New Record for Team's Most Shots Blocked (7) in 1 Game for Lightning!

Pas de blessure ou de suspension.

Lightning 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

Lightning 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

Lightning 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

Lightning 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

Lightning 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

	Lightning
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: Kirby \| Morale : 1 \| Moyenne d’équipe : 83