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

Centre de jeu
	Bruins 3-3-2, 8pts	3	FINAL	4	Lightning 2-5-1, 5pts

Team Stats
W1	Séquence	L1
3-2-0	Fiche domicile	2-3-0
0-1-2	Fiche visiteur	0-2-1
3-3-2	Derniers 10 matchs	2-5-1
1.75	Buts par match	1.38
2.38	Buts contre par match	2.63
6.67%	Pourcentage en avantage numérique	9.09%
80.77%	Pourcentage en désavantage numérique	79.17%

Flyers
6-2-1, 13pts

FINAL

Lightning
2-5-1, 5pts

Team Stats
W1	Séquence	L1
3-1-0	Fiche domicile	2-3-0
3-1-1	Fiche visiteur	0-2-1
6-2-1	Derniers 10 matchs	2-5-1
2.22	Buts par match	1.38
1.33	Buts contre par match	2.63
16.13%	Pourcentage en avantage numérique	9.09%
93.10%	Pourcentage en désavantage numérique	79.17%

Lightning
2-5-1, 5pts

2024-11-20

Hurricanes
6-1-2, 14pts

Statistiques d’équipe
L1	Séquence	W2
2-3-0	Fiche domicile	4-0-0
0-2-1	Fiche visiteur	2-1-2
2-5-1	10 derniers matchs	6-1-2
1.38	Buts par match	2.00
2.63	Buts contre par match	2.00
9.09%	Pourcentage en avantage numérique	18.18%
79.17%	Pourcentage en désavantage numérique	88.10%

Hurricanes
6-1-2, 14pts

2024-11-21

Lightning
2-5-1, 5pts

Statistiques d’équipe
W2	Séquence	L1
4-0-0	Fiche domicile	2-3-0
2-1-2	Fiche visiteur	0-2-1
6-1-2	10 derniers matchs	2-5-1
2.00	Buts par match	1.38
1.44	Buts contre par match	1.38
18.18%	Pourcentage en avantage numérique	9.09%
88.10%	Pourcentage en désavantage numérique	79.17%

Lightning
2-5-1, 5pts

2024-11-23

Maple Leafs
4-4-1, 9pts

Statistiques d’équipe
L1	Séquence	L2
2-3-0	Fiche domicile	3-1-0
0-2-1	Fiche visiteur	1-3-1
2-5-1	10 derniers matchs	4-4-1
1.38	Buts par match	1.89
2.63	Buts contre par match	1.89
9.09%	Pourcentage en avantage numérique	20.00%
79.17%	Pourcentage en désavantage numérique	91.43%

Meneurs d'équipe
	Buts Brad Richards 2	Passes Brad Richards 3

	Points Brad Richards 5	Plus/Moins Mike Lundin 2

	Victoires Martin Brodeur 2	Pourcentage d’arrêts Martin Brodeur 0.857

Statistiques d’équipe
Buts pour 11 1.38 GFG	Tirs pour 137 17.13 Avg	Pourcentage en avantage numérique 9.1% 3 GF	Début de zone offensive 35.9%
Buts contre 21 2.63 GAA	Tirs contre 147 18.38 Avg	Pourcentage en désavantage numérique 79.2%% 5 GA	Début de la zone défensive 35.9%

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	17,518
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	29
	Limite contact	49 / 250
	Espoirs	31
Plafond salarial
	Cap Salarial de la Saison estimé	64,984,451$
	Plafond salarial disponible	10,015,549$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	3,344,033$
	Dépenses annuelles à ce jour	10,411,552$
	Revenus de la saison estimés	17,388,972$
	Dépenses de la saison estimées	56,612,814$
	Compte bancaire actuel	42,170,017$
	Compte bancaire projeté	86,935$

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	1	6,000,000$
2	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	4	5,250,000$
3	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	1	750,000$
4	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	1	3,725,000$
5	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	4	7,727,273$
6	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	4	4,500,000$
7	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	1	5,250,000$
8	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	1	1,275,000$
9	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	1	700,000$
10	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	2	1,850,000$
11	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	2	1,850,000$
12	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	2	3,850,000$
13	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	1	4,500,000$
14	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	4	3,607,143$
15	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	2	1,500,000$
16	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	1	750,000$
17	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	1	1,000,000$
18	Victor Hedman (R)	0				X	100.00	86	82	82	87	99	94	94	83	67	83	75	88	75	69	75	87	87	78	2	19	2	3,500,000$
Rayé
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	1	750,000$
2	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	1	900,000$
3	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	1	750,000$
4	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	800,000$
5	Michael Grabner (R)	0			X		100.00	74	74	99	87	75	83	83	98	77	81	83	77	83	75	78	87	87	76	2	22	1	750,000$
6	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	1	625,000$
7	Adam Hall (R)	0			X		100.00	88	99	97	80	91	99	99	91	82	71	72	87	72	91	89	87	87	76	2	29	1	600,000$
8	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	1	500,000$
9	Nathan Gerbe (R)	0	X				100.00	74	74	99	95	73	80	80	97	71	80	78	78	78	75	72	87	87	75	2	22	1	850,000$
10	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	1	750,000$
11	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	1	500,000$
12	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	1	500,000$
13	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	1	800,000$
14	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	1	500,000$
15	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	1	525,000$
16	Michael Vernace (R)	0				X	100.00	90	74	93	83	88	73	73	67	67	67	67	85	67	69	75	87	87	72	2	23	1	500,000$
17	Vladimir Mihalik (R)	0				X	100.00	78	79	99	79	99	63	63	67	67	67	67	77	67	75	77	87	87	68	2	22	1	500,000$
18	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	1	750,000$
19	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	1	750,000$
20	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	1	750,000$
21	James Wright (R)	0	X				100.00	86	99	97	85	87	87	87	92	77	71	70	84	70	69	73	87	87	73	2	19	1	500,000$
22	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	2	550,000$
23	Blair Jones (R)	0	X				100.00	90	99	92	91	95	66	66	67	83	67	67	84	67	77	76	87	87	69	2	23	1	500,000$
24	Alexander Killorn (R)	0		X			100.00	79	77	99	87	81	63	63	67	90	67	67	83	67	77	75	87	87	67	2	18	3	750,000$
25	Mattias Ritola (R)	0	X				100.00	77	78	99	91	84	63	63	67	67	67	67	76	67	75	75	87	87	67	2	22	2	516,667$
26	Scott Jackson (R)	0				X	100.00	75	78	99	74	82	62	62	67	67	67	67	77	67	75	71	87	87	66	2	22	1	500,000$

	MOYENNE D’ÉQUIPE						100.00	86	85	90	88	88	88	88	87	77	80	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	2	5,200,000$
2	Mike Smith	0	100.00	91	94	99	99	97	95	95	97	97	97	96	85	87	37	87	90	2	28	1	2,200,000$
Rayé
Équipe Mineure
1	Dan Ellis	0	100.00	95	89	88	95	97	95	95	97	97	94	96	86	93	42	87	90	2	30	2	1,500,000$
2	Jonathan Bernier (R)	0	100.00	94	89	81	93	94	94	94	94	94	91	94	89	97	92	87	88	2	21	1	750,000$
3	Dustin Tokarski (R)	0	100.00	86	88	87	93	86	86	86	86	86	86	86	88	96	77	87	84	2	20	1	500,000$

	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	48	4	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	S1	S2	S3
1	Brad Richards	Lightning	C	8	2	3	5	1	2	0	1	22	4	13	9.09%	1	152	19.10	0	1	1	4	29	0	2	0	53.68%	95	9	1	0	0.65	0	0	0	0	0
2	Simon Gagne	Lightning	LW	8	2	3	5	1	6	2	2	15	2	10	13.33%	0	150	18.76	1	0	1	4	29	0	0	0	66.67%	6	6	4	0	0.67	0	0	0	0	0
3	Pavel Kubina	Lightning	D	8	0	3	3	-3	6	7	7	3	2	4	0%	8	216	27.02	0	1	1	3	33	0	20	0	0%	0	1	4	0	0.28	0	0	0	0	0
4	Brett Clark	Lightning	D	8	0	2	2	-8	0	2	8	6	1	2	0%	0	163	20.42	0	1	1	1	24	1	16	0	0%	0	0	3	0	0.24	0	0	0	0	0
5	Martin St Louis	Lightning	RW	8	1	1	2	-6	2	4	9	8	5	10	12.50%	2	161	20.14	0	1	1	1	28	4	27	1	66.67%	9	8	3	0	0.25	1	1	1	0	0
6	Ryan Malone	Lightning	LW	8	2	0	2	-3	4	9	5	6	1	3	33.33%	0	124	15.56	0	0	0	0	1	0	2	0	50.00%	4	2	1	1	0.32	0	0	0	0	1
7	Shea Weber	Lightning	D	8	1	1	2	-1	2	7	6	11	3	3	9.09%	6	180	22.59	1	0	1	3	33	0	20	0	0%	0	6	6	0	0.22	0	0	0	0	0
8	Steven Stamkos	Lightning	RW	8	1	1	2	1	0	8	4	17	6	11	5.88%	1	160	20.04	0	1	1	6	29	1	7	0	100.00%	4	11	1	0	0.25	0	0	0	0	0
9	Vincent Lecavalier	Lightning	C	8	1	1	2	-5	2	3	5	12	5	4	8.33%	0	135	16.88	1	0	1	5	28	0	7	0	48.42%	95	8	2	0	0.30	0	0	0	1	0
10	Alexander Semin	Lightning	LW	8	0	1	1	-8	0	4	7	11	3	8	0%	5	190	23.80	0	1	1	1	27	0	25	0	43.18%	44	14	3	0	0.11	1	1	0	0	0
11	Mike Lundin	Lightning	D	8	0	1	1	2	2	2	6	1	0	1	0%	1	111	13.90	0	0	0	0	0	0	6	0	0%	0	0	6	0	0.18	0	0	0	0	0
12	Steve Downie	Lightning	RW	8	0	1	1	-2	8	5	3	9	5	5	0%	2	115	14.41	0	0	0	0	0	0	5	0	20.00%	5	9	2	0	0.17	0	0	0	0	0
13	Dominic Moore	Lightning	C	8	0	0	0	-1	0	4	3	2	1	1	0%	1	52	6.53	0	0	0	0	0	0	0	0	59.26%	27	1	1	0	0	0	0	0	0	0
14	Mattias Ohlund	Lightning	D	8	0	0	0	-8	8	6	6	2	3	0	0%	4	164	20.54	0	0	0	1	24	0	14	0	0%	0	0	5	0	0	0	0	0	0	0
15	Randy Jones	Lightning	D	8	0	0	0	-1	0	1	1	0	0	0	0%	0	29	3.75	0	0	0	0	0	0	0	0	0%	0	1	0	0	0	0	0	0	0	0
16	Sean Bergenheim	Lightning	LW	8	0	0	0	-1	0	1	4	3	0	2	0%	0	52	6.60	0	0	0	0	0	0	0	0	0%	0	1	0	0	0	0	0	0	0	0
17	T.J. Oshie	Lightning	C	8	0	0	0	-3	0	7	4	8	1	4	0%	1	113	14.21	0	0	0	0	0	0	0	0	32.43%	37	10	2	0	0	0	0	0	0	0
18	Victor Hedman	Lightning	D	8	0	0	0	2	4	3	5	1	0	0	0%	0	102	12.84	0	0	0	0	0	0	0	0	0%	0	0	2	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				144	10	18	28	-43	46	75	86	137	42	81	7.30%	32	2376	16.50	3	6	9	29	290	6	158	1	49.39%	326	87	46	1	0.24	2	2	1	1	1

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
1	Martin Brodeur	Lightning	8	2	5	1	0.857	2.60	485	2	1	21	147	66	1	0	0.667	3	8	0	0	0	1
Statistiques d’équipe totales ou en moyenne			8	2	5	1	0.857	2.60	485	2	1	21	147	66	1	0		3	8	0	0	0	1

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	1		False	False	Pro & Farm	6,000,000$	5,067,961$	6,000,000$	5,067,961$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Brad Richards	Lightning	C	29	1995-11-03	CAN	No	196 Lbs	6 ft0	No	No	Assign Manually	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	633,495$	750,000$	633,495$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Brett Clark	Lightning	D	33	1991-11-03	CAN	No	195 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	1,500,000$	1,266,990$	1,500,000$	1,266,990$	No	1,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Dominic Moore	Lightning	C	29	1995-11-03	CAN	No	196 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	1,850,000$	1,562,621$	1,850,000$	1,562,621$	No	1,850,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Martin Brodeur	Lightning	G	38	1986-11-03	CAN	No	215 Lbs	6 ft2	No	No	Assign Manually	No	No	2		False	False	Pro & Farm	5,200,000$	4,392,233$	5,200,000$	4,392,233$	No	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	4		False	False	Pro & Farm	5,250,000$	4,434,466$	5,250,000$	4,434,466$	No	5,250,000$	5,250,000$	5,250,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Mattias Ohlund	Lightning	D	33	1991-11-03	SWE	No	225 Lbs	6 ft4	No	No	N/A	No	No	4		False	False	Pro & Farm	3,607,143$	3,046,810$	3,607,143$	3,046,810$	No	3,607,143$	3,607,143$	3,607,143$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Mike Lundin	Lightning	D	25	1999-11-03	USA	No	197 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	750,000$	633,495$	750,000$	633,495$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mike Smith	Lightning	G	28	1996-11-03	CAN	No	219 Lbs	6 ft4	No	No	N/A	No	No	1		False	False	Pro & Farm	2,200,000$	1,858,252$	2,200,000$	1,858,252$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Pavel Kubina	Lightning	D	32	1992-11-03	CZE	No	250 Lbs	6 ft4	No	No	N/A	No	No	2		False	False	Pro & Farm	3,850,000$	3,251,942$	3,850,000$	3,251,942$	No	3,850,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Randy Jones	Lightning	D	28	1996-11-03	CAN	No	200 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	1,000,000$	844,660$	1,000,000$	844,660$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan Malone	Lightning	LW	30	1994-11-03	USA	No	220 Lbs	6 ft4	No	No	N/A	No	No	4		False	False	Pro & Farm	4,500,000$	3,800,971$	4,500,000$	3,800,971$	No	4,500,000$	4,500,000$	4,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Sean Bergenheim	Lightning	LW	25	1999-11-03	FIN	No	205 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Pro & Farm	700,000$	591,262$	700,000$	591,262$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Shea Weber	Lightning	D	24	2000-11-03	CAN	No	234 Lbs	6 ft4	No	No	Assign Manually	No	No	1		False	False	Pro & Farm	4,500,000$	3,800,971$	4,500,000$	3,800,971$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Simon Gagne	Lightning	LW	29	1995-11-03	CAN	No	195 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	5,250,000$	4,434,466$	5,250,000$	4,434,466$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Steve Downie	Lightning	RW	22	2002-11-03	CAN	No	200 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	1,850,000$	1,562,621$	1,850,000$	1,562,621$	No	1,850,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Steven Stamkos	Lightning	RW	19	2005-11-03	CAN	No	196 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	3,725,000$	3,146,359$	3,725,000$	3,146,359$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
T.J. Oshie	Lightning	C	23	2001-11-03	USA	No	194 Lbs	5 ft11	No	No	Assign Manually	No	No	1		False	False	Pro & Farm	1,275,000$	1,076,942$	1,275,000$	1,076,942$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Victor Hedman	Lightning	D	19	2005-11-03	SWE	Yes	230 Lbs	6 ft6	No	No	N/A	No	No	2		False	False	Pro & Farm	3,500,000$	2,956,311$	3,500,000$	2,956,311$	No	3,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Vincent Lecavalier	Lightning	C	29	1995-11-03	CAN	No	223 Lbs	6 ft4	No	No	N/A	No	No	4		False	False	Pro & Farm	7,727,273$	6,526,920$	7,727,273$	6,526,920$	No	7,727,273$	7,727,273$	7,727,273$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	27.70	209 Lbs	6 ft2	1.90	3,249,221$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
64,984,416$	38,834,416$	21,084,416$	21,084,416$	0$

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

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Alexander Semin	Vincent Lecavalier	Martin St Louis	60	1	2	2
2	Simon Gagne	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	Martin St Louis	60	1	2	2
2	Vincent Lecavalier	Steven Stamkos	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	Martin St Louis	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	Martin St Louis	60	1	2	2
2	Vincent Lecavalier	Steven Stamkos	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	Vincent Lecavalier	Martin St Louis	Pavel Kubina	Shea Weber

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

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Ryan Malone, T.J. Oshie, Steve Downie	Ryan Malone, T.J. Oshie	Steve Downie

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Victor Hedman, Mike Lundin, Randy Jones	Victor Hedman	Mike Lundin, Randy Jones

Tirs de pénalité
Alexander Semin, Martin St Louis, Vincent Lecavalier, Steven Stamkos, Brad Richards

Gardien
#1 : Martin Brodeur, #2 : Mike Smith

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
1	Bruins	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	5	9	0	0	0	2	1	2	25	4	11	9	3	24	4	8	8	4	2	50.00%	4	1	75.00%	0	62	117	52.99%	55	117	47.01%	44	92	47.83%	25	17	24	8	15	7
2	Canadiens	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	1	0	1	1	0	14	3	7	4	0	9	1	6	8	3	0	0.00%	3	0	100.00%	0	62	117	52.99%	55	117	47.01%	44	92	47.83%	24	16	19	8	16	8
3	Flyers	4	0	3	0	0	1	0	0	3	13	-10	2	0	2	0	0	0	0	0	2	7	-5	2	0	1	0	0	1	0	0	1	6	-5	1	0.125	3	6	9	0	0	0	2	1	0	63	17	26	20	0	85	14	26	37	16	0	0.00%	13	3	76.92%	0	62	117	52.99%	55	117	47.01%	44	92	47.83%	96	63	83	30	61	31
4	Hurricanes	2	0	2	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	0	0	2	0	0	0	35	17	3	15	0	29	13	8	22	10	1	10.00%	4	1	75.00%	0	62	117	52.99%	55	117	47.01%	44	92	47.83%	47	30	41	14	31	17
	Total	8	1	5	0	0	1	1	0	11	21	-10	5	1	3	0	0	0	1	0	9	12	-3	3	0	2	0	0	1	0	0	2	9	-7	5	0.313	11	18	29	0	1	2	5	3	2	137	41	47	48	3	147	32	48	75	33	3	9.09%	24	5	79.17%	0	62	117	52.99%	55	117	47.01%	44	92	47.83%	193	126	168	61	124	64
	_Since Last GM Reset	8	1	5	0	0	1	1	0	11	21	-10	5	1	3	0	0	0	1	0	9	12	-3	3	0	2	0	0	1	0	0	2	9	-7	5	0.313	11	18	29	0	1	2	5	3	2	137	41	47	48	3	147	32	48	75	33	3	9.09%	24	5	79.17%	0	62	117	52.99%	55	117	47.01%	44	92	47.83%	193	126	168	61	124	64
	_Vs Conference	8	1	5	0	0	1	1	0	11	21	-10	5	1	3	0	0	0	1	0	9	12	-3	3	0	2	0	0	1	0	0	2	9	-7	5	0.313	11	18	29	0	1	2	5	3	2	137	41	47	48	3	147	32	48	75	33	3	9.09%	24	5	79.17%	0	62	117	52.99%	55	117	47.01%	44	92	47.83%	193	126	168	61	124	64
	_Vs Division	6	0	5	0	0	1	0	0	5	18	-13	3	0	3	0	0	0	0	0	3	9	-6	3	0	2	0	0	1	0	0	2	9	-7	1	0.083	5	10	15	0	0	2	2	1	0	98	34	29	35	0	114	27	34	59	26	1	3.85%	17	4	76.47%	0	62	117	52.99%	55	117	47.01%	44	92	47.83%	143	93	124	44	92	48

			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
8	5	L1	11	18	29	137	147	32	48	75	0	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	1	5	0	1	1	0	11	21

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	3	0	0	1	0	9	12

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	2	0	1	0	0	2	9

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	5	0	1	1	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
33	3	9.09%	24	5	79.17%	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
41	47	48	3	2	5	3	2

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
62	117	52.99%	55	117	47.01%	44	92	47.83%

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
193	126	168	61	124	64

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	Lien
5 - 2024-11-08	6	Hurricanes	2	Lightning	1	L			Sommaire du match
6 - 2024-11-09	10	Lightning	0	Flyers	4	L			Sommaire du match
7 - 2024-11-10	18	Canadiens	0	Lightning	2	W			Sommaire du match
8 - 2024-11-11	23	Lightning	1	Hurricanes	3	L			Sommaire du match
9 - 2024-11-12	29	Lightning	1	Flyers	2	L	X		Sommaire du match
11 - 2024-11-14	33	Flyers	4	Lightning	1	L			Sommaire du match
13 - 2024-11-16	42	Bruins	3	Lightning	4	W	X	X	Sommaire du match
15 - 2024-11-18	51	Flyers	3	Lightning	1	L			Sommaire du match
17 - 2024-11-20	54	Lightning	-	Hurricanes	-
18 - 2024-11-21	62	Hurricanes	-	Lightning	-
20 - 2024-11-23	68	Lightning	-	Maple Leafs	-
21 - 2024-11-24	73	Maple Leafs	-	Lightning	-
22 - 2024-11-25	79	Lightning	-	Sharks	-
23 - 2024-11-26	84	Hurricanes	-	Lightning	-
25 - 2024-11-28	89	Lightning	-	Canucks	-
27 - 2024-11-30	97	Flyers	-	Lightning	-
28 - 2024-12-01	102	Lightning	-	Avalanche	-
30 - 2024-12-03	108	Lightning	-	Canadiens	-
31 - 2024-12-04	114	Hurricanes	-	Lightning	-
33 - 2024-12-06	120	Lightning	-	Hurricanes	-
35 - 2024-12-08	126	Flames	-	Lightning	-
36 - 2024-12-09	132	Lightning	-	Bruins	-
38 - 2024-12-11	138	Flames	-	Lightning	-
40 - 2024-12-13	145	Sharks	-	Lightning	-
41 - 2024-12-14	150	Lightning	-	Hurricanes	-
43 - 2024-12-16	156	Lightning	-	Canadiens	-
44 - 2024-12-17	161	Lightning	-	Flyers	-
45 - 2024-12-18	165	Blackhawks	-	Lightning	-
47 - 2024-12-20	173	Canadiens	-	Lightning	-
49 - 2024-12-22	180	Lightning	-	Canadiens	-
51 - 2024-12-24	184	Lightning	-	Maple Leafs	-
52 - 2024-12-25	190	Bruins	-	Lightning	-
53 - 2024-12-26	197	Bruins	-	Lightning	-
54 - 2024-12-27	205	Avalanche	-	Lightning	-
55 - 2024-12-28	208	Lightning	-	Flames	-
56 - 2024-12-29	214	Lightning	-	Canucks	-
58 - 2024-12-31	220	Lightning	-	Bruins	-
59 - 2025-01-01	223	Lightning	-	Flyers	-
61 - 2025-01-03	232	Maple Leafs	-	Lightning	-
64 - 2025-01-06	238	Canadiens	-	Lightning	-
66 - 2025-01-08	246	Red Wings	-	Lightning	-
68 - 2025-01-10	250	Lightning	-	Bruins	-
69 - 2025-01-11	254	Lightning	-	Red Wings	-
71 - 2025-01-13	262	Avalanche	-	Lightning	-
72 - 2025-01-14	268	Lightning	-	Hurricanes	-
74 - 2025-01-16	274	Canucks	-	Lightning	-
75 - 2025-01-17	282	Hurricanes	-	Lightning	-
77 - 2025-01-19	289	Flyers	-	Lightning	-
78 - 2025-01-20	294	Lightning	-	Red Wings	-
79 - 2025-01-21	299	Lightning	-	Flyers	-
80 - 2025-01-22	306	Flyers	-	Lightning	-
81 - 2025-01-23	312	Lightning	-	Avalanche	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
84 - 2025-01-26	316	Lightning	-	Maple Leafs	-
85 - 2025-01-27	322	Blackhawks	-	Lightning	-
86 - 2025-01-28	326	Lightning	-	Blackhawks	-
89 - 2025-01-31	335	Canucks	-	Lightning	-
91 - 2025-02-02	340	Lightning	-	Sharks	-
94 - 2025-02-05	344	Lightning	-	Flames	-
95 - 2025-02-06	349	Sharks	-	Lightning	-
97 - 2025-02-08	356	Maple Leafs	-	Lightning	-
100 - 2025-02-11	365	Red Wings	-	Lightning	-
101 - 2025-02-12	367	Lightning	-	Blackhawks	-

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	29,170	23,994	9,764	19,724	4,936
Attendance PCT	97.23%	95.98%	97.64%	98.62%	98.72%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
26	17518 - 97.32%	668,807$	3,344,033$	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
10,411,552$	64,984,416$	0$	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
630,917$	10,094,672$	0$	20	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
17,388,972$	87	650,722$	56,612,814$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
59,472,054$	42,170,017$	86,935$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
64,984,451$	10,015,549$	75,000,000$	29,984,451$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Alexander Semin	AGE:25	PO:87	OV:86
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 (R)	AGE:18	PO:87	OV:67

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 (R)	AGE:22	PO:87	OV:75
Kyle Chipchura	AGE:23	PO:87	OV:74
James Wright (R)	AGE:19	PO:87	OV:73
Rod Pelley	AGE:25	PO:87	OV:73
Blair Jones (R)	AGE:23	PO:87	OV:69
Mattias Ritola (R)	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 (R)	AGE:22	PO:87	OV:76
Adam Hall (R)	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 (R)	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 (R)	AGE:23	PO:87	OV:72
Vladimir Mihalik (R)	AGE:22	PO:87	OV:68
Scott Jackson (R)	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 (R)	AGE:21	PO:92	OV:88
Dustin Tokarski (R)	AGE:20	PO:77	OV:84

Espoirs

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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

[11/19/2024 7:25:51 AM] - New Record for Team's Most Penalties Minutes (10) in 1 Game for Lightning!
[11/17/2024 7:24:05 AM] - New Record for Team's Most Shots (25) in 1 Game for Lightning!
[11/17/2024 7:24:05 AM] - New Record for Team's Most Points (9) in 1 Game for Lightning!
[11/17/2024 7:24:05 AM] - New Record for Team's Most Assists (5) in 1 Game for Lightning!
[11/17/2024 7:24:05 AM] - New Record for Team's Most Goals (4) in 1 Game for Lightning!
[11/15/2024 7:29:29 AM] - New Record for Team's Most Hits (14) in 1 Game for Lightning!
[11/15/2024 7:29:29 AM] - New Record for Team's Most Shots (21) in 1 Game for Lightning!
[11/12/2024 7:17:55 AM] - New Record for Team's Most Hits (12) in 1 Game for Lightning!
[11/12/2024 7:17:55 AM] - New Record for Team's Most Shots Blocked (7) in 1 Game for Lightning!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Points (5) in 1 Game for Lightning!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Assists (3) in 1 Game for Lightning!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Goals (2) in 1 Game for Lightning!
[11/10/2024 7:15:24 AM] - New Record for Team's Most Penalties Minutes (8) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] - New Record for Team's Most Hits (10) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] - New Record for Team's Most Penalties Minutes (6) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] - New Record for Team's Most Shots Blocked (6) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] - New Record for Team's Most Shots (20) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] - New Record for Team's Most Points (3) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] - New Record for Team's Most Assists (2) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] - New Record for Team's Most Goals (1) in 1 Game for Lightning!
[10/16/2024 9:20:58 AM] - Sami Lepisto was added to Lightning.
[10/16/2024 9:20:17 AM] - Nathan Gerbe was added to Lightning.
[10/15/2024 9:35:38 AM] - Steven Stamkos has been selected as assistant for Lightning.

[11/19/2024 7:25:51 AM] New Record for Team's Most Penalties Minutes (10) in 1 Game for Lightning!
[11/17/2024 7:24:05 AM] New Record for Team's Most Shots (25) in 1 Game for Lightning!
[11/17/2024 7:24:05 AM] New Record for Team's Most Points (9) in 1 Game for Lightning!
[11/17/2024 7:24:05 AM] New Record for Team's Most Assists (5) in 1 Game for Lightning!
[11/17/2024 7:24:05 AM] New Record for Team's Most Goals (4) in 1 Game for Lightning!
[11/15/2024 7:29:29 AM] New Record for Team's Most Hits (14) in 1 Game for Lightning!
[11/15/2024 7:29:29 AM] New Record for Team's Most Shots (21) in 1 Game for Lightning!
[11/12/2024 7:17:55 AM] New Record for Team's Most Hits (12) in 1 Game for Lightning!
[11/12/2024 7:17:55 AM] New Record for Team's Most Shots Blocked (7) in 1 Game for Lightning!
[11/11/2024 7:26:39 AM] Last 7 Days Farm Star : 1 - Devan Dubnyk of Grand Rapids Griffins (0.984) / 2 - Michael Grabner of Norfolk Admirals (5-0-5) / 3 - Logan Couture of Worcester Sharks (4-0-4)
[11/11/2024 7:26:38 AM] New Record for Team's Most Points (5) in 1 Game for Lightning!
[11/11/2024 7:26:38 AM] New Record for Team's Most Assists (3) in 1 Game for Lightning!
[11/11/2024 7:26:38 AM] New Record for Team's Most Goals (2) in 1 Game for Lightning!
[11/10/2024 7:15:24 AM] New Record for Team's Most Penalties Minutes (8) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] New Record for Team's Most Hits (10) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] New Record for Team's Most Penalties Minutes (6) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] New Record for Team's Most Shots Blocked (6) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] New Record for Team's Most Shots (20) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] New Record for Team's Most Points (3) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] New Record for Team's Most Assists (2) in 1 Game for Lightning!
[11/9/2024 7:16:33 AM] New Record for Team's Most Goals (1) in 1 Game for Lightning!
[11/8/2024 7:50:33 AM] Successfully loaded Lightning lines done with Web Base Client.

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: 8 \| W: 2 \| L: 5 \| OTL: 1 \| P: 5 GF: 11 \| GA: 21 \| PP%: 9.09% \| PK%: 79.17% DG: Kirby \| Morale : 1 \| Moyenne d’équipe : 83 Prochains matchs #54 vs Hurricanes