German Fantasy Hockey League - Tampa Bay Lightning

Naples Stingrays
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Historique
Dernière Transactions
Blessure/Suspension
Client Web pour Formation
Client Web pour Lignes

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Nikita Kucherov	0			X		100.00	63	41	84	91	66	83	94	88	55	98	92	52	59	68	71	0	70	77	0
2	Anders Lee	0		X			100.00	77	45	84	84	83	76	99	85	56	72	92	58	25	67	68	0	67	74	0
3	Nick Foligno	0	X	X	X		100.00	90	60	80	83	76	78	93	77	77	70	72	72	25	79	81	0	55	72	0
4	Adam Lowry	0	X	X			100.00	93	47	93	78	79	70	81	71	97	74	71	84	25	65	66	0	67	72	0
5	Valtteri Filppula	0	X				100.00	61	41	91	80	70	74	97	69	88	72	66	76	56	82	90	0	68	71	0
6	Yanni Gourde	0	X	X	X		100.00	69	54	82	78	57	73	96	76	57	84	81	75	25	56	56	0	69	71	0
7	Vladislav Namestnikov	0	X	X	X		100.00	75	53	83	84	67	76	95	85	73	76	78	57	25	65	67	0	59	71	0
8	Zack Smith	0	X	X			100.00	78	65	78	79	79	75	88	72	77	66	58	76	25	73	75	0	64	69	0
9	Richard Panik	0		X	X		100.00	84	45	84	81	75	70	94	77	34	74	71	61	41	67	68	0	68	69	0
10	Benoit Pouliot	0		X			100.00	73	43	90	80	73	66	88	63	36	58	71	74	47	75	78	0	67	67	0
11	Tom Pyatt	0		X	X		100.00	69	42	95	65	67	67	99	55	36	65	59	88	53	69	71	0	54	66	0
12	Scottie Upshall	0		X			100.00	84	45	79	74	73	58	85	59	50	65	60	82	25	79	82	0	54	66	0
13	Jack Johnson	0				X	100.00	78	45	90	78	84	79	97	58	25	50	48	87	66	80	81	0	51	73	1
14	Anton Stralman	0				X	100.00	78	44	92	78	69	83	94	61	25	54	48	81	25	77	82	0	61	71	0
15	Dan Girardi	0				X	100.00	82	55	89	70	76	72	87	58	25	53	49	86	25	82	88	0	57	71	1
16	Radko Gudas	0				X	100.00	89	91	68	77	75	72	86	62	25	55	48	85	25	67	68	0	64	71	0
17	Jake Dotchin	0				X	100.00	85	69	78	77	77	70	75	61	25	53	48	74	25	55	55	0	68	66	0
18	Andrej Sustr	0				X	100.00	59	42	87	77	86	61	79	62	25	50	48	72	25	66	69	0	38	65	0
Rayé
1	Cedric Paquette	0	X	X	X		100.00	85	56	79	82	73	57	74	59	76	57	59	72	25	64	67	0	72	64	0
2	Tanner Richard	0	X	X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	59	49	0
3	Mark Barberio	0				X	100.00	67	54	81	77	73	72	80	63	25	57	49	89	25	64	65	0	35	69	0

	MOYENNE D'ÉQUIPE					100.00	76	52	83	77	73	71	87	67	49	64	63	74	34	69	71	0	60	69

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Jake Allen	100.00	78	90	86	76	79	77	64	79	76	78	91	63	64	0	66	74	1
2	Anders Lindback	100.00	60	71	89	89	59	63	52	63	57	56	30	59	60	0	84	63	1
Rayé
1	Adam Wilcox	100.00	55	66	83	75	53	56	52	60	53	53	30	44	44	0	70	57	0

	MOYENNE D'ÉQUIPE	100.00	64	76	86	80	64	65	56	67	62	62	50	55	56	0	73	65

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jon Cooper	73	81	99	69	63	67	75	CAN	35	2	750,000$

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Link
Adam Lowry	Tampa Bay Lightning	C/LW	26	28.03.1993	No	210 Lbs	6 ft5	No	No	No	1	Avec Restriction	Pro & Farm	2,200,000$	2,200,000$	0$	No	Lien
Adam Wilcox	Tampa Bay Lightning	G	25	25.04.1994	No	187 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Anders Lee	Tampa Bay Lightning	LW	28	03.07.1990	No	228 Lbs	6 ft3	No	No	No	1	Avec Restriction	Pro & Farm	3,700,000$	3,700,000$	0$	No	Lien
Anders Lindback	Tampa Bay Lightning	G	31	03.05.1988	No	215 Lbs	6 ft6	No	No	No	2	Sans Restriction	Pro & Farm	750,000$	750,000$	0$	No	Lien
Andrej Sustr	Tampa Bay Lightning	D	28	29.11.1990	No	220 Lbs	6 ft7	No	No	No	1	Avec Restriction	Pro & Farm	3,200,000$	3,200,000$	0$	No	Lien
Anton Stralman	Tampa Bay Lightning	D	32	01.08.1986	No	190 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	5,200,000$	5,200,000$	0$	No	Lien
Benoit Pouliot	Tampa Bay Lightning	LW	32	28.09.1986	No	205 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	2,200,000$	2,200,000$	0$	No	Lien
Cedric Paquette	Tampa Bay Lightning	C/LW/RW	25	13.08.1993	No	198 Lbs	6 ft1	No	No	No	2	Avec Restriction	Pro & Farm	2,700,000$	2,700,000$	0$	No	Lien
Dan Girardi	Tampa Bay Lightning	D	35	28.04.1984	No	212 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro Only	1,800,000$	1,800,000$	0$	No	Lien
Jack Johnson	Tampa Bay Lightning	D	32	12.01.1987	No	226 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro Only	6,800,000$	6,800,000$	0$	No	Lien
Jake Allen	Tampa Bay Lightning	G	28	07.08.1990	No	203 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	5,000,000$	5,000,000$	0$	No	Lien
Jake Dotchin	Tampa Bay Lightning	D	25	24.03.1994	No	212 Lbs	6 ft3	No	No	No	2	Avec Restriction	Pro & Farm	3,200,000$	3,200,000$	0$	No	Lien
Mark Barberio	Tampa Bay Lightning	D	29	22.03.1990	No	207 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	500,000$	500,000$	0$	No	Lien
Nick Foligno	Tampa Bay Lightning	C/LW/RW	31	31.10.1987	No	205 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	0$	No	Lien
Nikita Kucherov	Tampa Bay Lightning	RW	25	17.06.1993	No	178 Lbs	5 ft11	No	No	No	1	Avec Restriction	Pro & Farm	4,766,667$	4,766,667$	0$	No	Lien
Radko Gudas	Tampa Bay Lightning	D	29	04.06.1990	No	204 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	3,350,000$	3,350,000$	0$	No	Lien
Richard Panik	Tampa Bay Lightning	LW/RW	28	07.02.1991	No	208 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Scottie Upshall	Tampa Bay Lightning	LW	35	07.10.1983	No	200 Lbs	6 ft0	No	No	No	1	Sans Restriction	Pro & Farm	900,000$	900,000$	0$	No	Lien
Tanner Richard	Tampa Bay Lightning	C/LW	26	06.04.1993	No	192 Lbs	6 ft0	No	No	No	2	Avec Restriction	Pro & Farm	500,000$	500,000$	0$	No	Lien
Tom Pyatt	Tampa Bay Lightning	LW/RW	32	14.02.1987	No	185 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	2,700,000$	2,700,000$	0$	No	Lien
Valtteri Filppula	Tampa Bay Lightning	C	35	20.03.1984	No	196 Lbs	6 ft0	Yes	No	No	4	Sans Restriction	Pro & Farm	2,960,000$	2,960,000$	0$	No	Lien
Vladislav Namestnikov	Tampa Bay Lightning	C/LW/RW	26	22.11.1992	No	180 Lbs	6 ft0	No	No	No	1	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	0$	No	Lien
Yanni Gourde	Tampa Bay Lightning	C/LW/RW	27	15.12.1991	No	167 Lbs	5 ft9	No	No	No	1	Avec Restriction	Pro & Farm	450,000$	450,000$	0$	No	Lien
Zack Smith	Tampa Bay Lightning	C/LW	31	05.04.1988	No	210 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	0$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
24	29.21	202 Lbs	6 ft1	1.67	2,688,611$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
64,526,667$	35,710,000$	11,710,000$	2,960,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vladislav Namestnikov	Valtteri Filppula	Nikita Kucherov	30	1	1	3
2	Anders Lee	Nick Foligno	Yanni Gourde	30	1	1	3
3	Scottie Upshall	Adam Lowry	Richard Panik	25	2	3	0
4	Benoit Pouliot	Zack Smith	Tom Pyatt	15	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jack Johnson	Anton Stralman	30	1	3	1
2	Andrej Sustr	Jake Dotchin	30	1	3	1
3	Dan Girardi	Radko Gudas	25	2	3	0
4	Jack Johnson	Jake Dotchin	15	1	3	1

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Vladislav Namestnikov	Valtteri Filppula	Nikita Kucherov	50	1	0	4
2	Anders Lee	Nick Foligno	Yanni Gourde	50	1	0	4

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jack Johnson	Anton Stralman	50	0	2	3
2	Jack Johnson	Jake Dotchin	50	0	2	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Adam Lowry	Scottie Upshall	50	1	4	0
2	Zack Smith	Richard Panik	50	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dan Girardi	Radko Gudas	50	1	4	0
2	Dan Girardi	Jake Dotchin	50	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Adam Lowry	50	1	4	0	Dan Girardi	Radko Gudas	50	1	4	0
2	Zack Smith	50	1	4	0	Dan Girardi	Jake Dotchin	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Valtteri Filppula	Nikita Kucherov	50	1	2	2
2	Nick Foligno	Anders Lee	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Jack Johnson	Anton Stralman	50	1	2	2
2	Jack Johnson	Jake Dotchin	50	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Vladislav Namestnikov	Valtteri Filppula	Nikita Kucherov	Jack Johnson	Anton Stralman

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Scottie Upshall	Adam Lowry	Richard Panik	Dan Girardi	Radko Gudas

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Yanni Gourde, Nikita Kucherov, Tom Pyatt	Scottie Upshall, Richard Panik	Tom Pyatt

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Radko Gudas, Dan Girardi, Jake Dotchin	Dan Girardi	Jack Johnson, Anton Stralman

Tirs de Pénalité
Richard Panik, Nikita Kucherov, Valtteri Filppula, Tom Pyatt, Benoit Pouliot

Gardien
#1 : Jake Allen, #2 : Anders Lindback

Lignes d'Attaque Perso. en Prol.
Nikita Kucherov, Anders Lee, Adam Lowry, Tom Pyatt, Valtteri Filppula, Yanni Gourde, Yanni Gourde, Richard Panik, Benoit Pouliot, Vladislav Namestnikov, Scottie Upshall

Lignes de Défense Perso. en Prol.
Jack Johnson, Anton Stralman, Dan Girardi, Radko Gudas,

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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

	Ligue												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
0	0	N/A	0	0	0	0	0	0	0	0	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Tentatives en Avantage Numérique	Buts en Avantage Numérique	% en Avantage Numérique	Tentatives en Désavantage Numérique	Buts Contre en Désavantage Numérique	% en Désavantage Numérique	Buts Pour en Désavantage Numérique
0	0	0.00%	0	0	0.00%	0

Tirs en 1e Période	Tirs en 2e Période	Tirs en 3e Période	Tirs en 4e Période	Buts en 1e Période	Buts en 2e Période	Buts en 3e Période	Buts en 4e Période
0	0	0	0	0	0	0	0

Mises en Jeu
Gagnées en Zone Offensive	Total en Zone Offensive	% Gagnées en Zone Offensive	Gagnées en Zone Défensive	Total en Zone Défensive	% Gagnées en Zone Défensive	Gagnées en Zone Neutre	Total en Zone Neutre	% Gagnées en Zone Neutre
0	0	0.00%	0	0	0.00%	0	0	0.00%

Temps Avec la Rondelle
En Zone Offensive	Contrôle en Zone Offensive	En Zone Défensive	Contrôle en Zone Défensive	En Zone Neutre	Contrôle en Zone Neutre
0	0	0	0	0	0

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Jour	Match	Équipe Visiteuse	Score	Équipe Locale	Score	ST	OT	SO	RI	Lien

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	7758	5000	2000	4000	1000
Prix des Billets	140	80	50	35	250
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
41	0 - 0.00%	0$	0$	19758	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	64,526,667$	63,310,000$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
0$	0$	0$	24	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	0$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	0$	76,127,713$	76,127,713$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Anders Lee	AGE:28	PO:0	OV:74
Nick Foligno	AGE:31	PO:0	OV:72
Adam Lowry	AGE:26	PO:0	OV:72
Yanni Gourde	AGE:27	PO:0	OV:71
Vladislav Namestnikov	AGE:26	PO:0	OV:71
Zack Smith	AGE:31	PO:0	OV:69
Richard Panik	AGE:28	PO:0	OV:69
Benoit Pouliot	AGE:32	PO:0	OV:67
Tom Pyatt	AGE:32	PO:0	OV:66
Scottie Upshall	AGE:35	PO:0	OV:66
Cedric Paquette	AGE:25	PO:0	OV:64
Greg McKegg	AGE:26	PO:0	OV:62
J.T. Brown	AGE:28	PO:0	OV:61
*Austin Wagner	AGE:21	PO:0	OV:54
Joel Lowry	AGE:27	PO:0	OV:54
*Henri Ikonen	AGE:25	PO:0	OV:49
Tanner Richard	AGE:26	PO:0	OV:49
*Taylor Cammarata	AGE:24	PO:0	OV:49
Teddy Purcell	AGE:33	PO:0	OV:49
Stephen MacAulay	AGE:27	PO:0	OV:49

Nick Foligno	AGE:31	PO:0	OV:72
Adam Lowry	AGE:26	PO:0	OV:72
Valtteri Filppula	AGE:35	PO:0	OV:71
Yanni Gourde	AGE:27	PO:0	OV:71
Vladislav Namestnikov	AGE:26	PO:0	OV:71
Zack Smith	AGE:31	PO:0	OV:69
Cedric Paquette	AGE:25	PO:0	OV:64
Tanner Fritz	AGE:27	PO:0	OV:62
Greg McKegg	AGE:26	PO:0	OV:62
Curtis Valk	AGE:26	PO:0	OV:61
J.T. Brown	AGE:28	PO:0	OV:61
Lucas Wallmark	AGE:23	PO:0	OV:58
*Tim McGauley	AGE:23	PO:0	OV:53
Tanner Richard	AGE:26	PO:0	OV:49
*Taylor Cammarata	AGE:24	PO:0	OV:49
Stephen MacAulay	AGE:27	PO:0	OV:49
Jay McClement	AGE:36	PO:0	OV:48
*Jake Evans	AGE:23	PO:0	OV:48

Nikita Kucherov	AGE:25	PO:0	OV:77
Nick Foligno	AGE:31	PO:0	OV:72
Yanni Gourde	AGE:27	PO:0	OV:71
Vladislav Namestnikov	AGE:26	PO:0	OV:71
Richard Panik	AGE:28	PO:0	OV:69
Tom Pyatt	AGE:32	PO:0	OV:66
Cedric Paquette	AGE:25	PO:0	OV:64
Tanner Fritz	AGE:27	PO:0	OV:62
J.T. Brown	AGE:28	PO:0	OV:61
*Taylor Cammarata	AGE:24	PO:0	OV:49
Teddy Purcell	AGE:33	PO:0	OV:49
Stephen MacAulay	AGE:27	PO:0	OV:49
*Jake Evans	AGE:23	PO:0	OV:48

Défense #1

Défense #2

Gardien

Jack Johnson	AGE:32	PO:0	OV:73
Anton Stralman	AGE:32	PO:0	OV:71
Dan Girardi	AGE:35	PO:0	OV:71
Radko Gudas	AGE:29	PO:0	OV:71
Mark Barberio	AGE:29	PO:0	OV:69
Jake Dotchin	AGE:25	PO:0	OV:66
Andrej Sustr	AGE:28	PO:0	OV:65
Paul Postma	AGE:30	PO:0	OV:60

Matt Taormina	AGE:32	PO:0	OV:59
*Ben Thomas	AGE:23	PO:0	OV:58
Kirill Gotovets	AGE:27	PO:0	OV:55
Derek Joslin	AGE:32	PO:0	OV:49
Tom Gilbert	AGE:36	PO:0	OV:49
Dmitri Korobov	AGE:30	PO:0	OV:49
Nikita Nesterov	AGE:26	PO:0	OV:49
Zbynek Michalek	AGE:36	PO:0	OV:48

Jake Allen	AGE:28	PO:0	OV:74
Anders Lindback	AGE:31	PO:0	OV:63
Scott Darling	AGE:30	PO:0	OV:61
Adam Wilcox	AGE:25	PO:0	OV:57
Kristers Gudlevskis	AGE:26	PO:0	OV:56
Jaroslav Janus	AGE:30	PO:0	OV:49

Éspoirs

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information
Alex Green	Tampa Bay Lightning	2018	88
Cole Koepke	Tampa Bay Lightning	2018	163
D'Artagnan Joly	Tampa Bay Lightning	2017	149
Dmitri Semykin	Tampa Bay Lightning	2018	70
Gabriel Fortier	Tampa Bay Lightning	2018	13
Jordan Sambrook	Tampa Bay Lightning	2016	143
Ladislav Smid	Tampa Bay Lightning	2017		Vertrag bis Ende 18/19
Magnus Chrona	Tampa Bay Lightning	2018	101
Nick Perbix	Tampa Bay Lightning	2017	124
Radim Salda	Tampa Bay Lightning	2018	194
Taylor Raddysh	Tampa Bay Lightning	2016	22
Ty Taylor	Tampa Bay Lightning	2018	206

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2019	TBL	TBL	TBL	NYI	TBL	TBL	TBL
2020	TBL	TBL	OTT TBL	TBL	TBL	TBL	TBL
2021	TBL	TBL	TBL	TBL	TBL	TBL	TBL
2022	TBL	TBL	TBL	TBL	TBL	TBL	TBL
2023	TBL	TBL	TBL	TBL	TBL	TBL	TBL

[21.05.2019 22:17:32] - Naples Stingrays was eliminated at round 3 of year 2018.
[08.04.2019 23:05:15] - Tampa Bay Lightning didn't make playoff for year 2018.
[09.11.2018 22:56:28] - TRADE : From Tampa Bay Lightning to New York Islanders : Brandon Dubinsky (69).
[09.11.2018 22:56:28] - TRADE : From New York Islanders to Tampa Bay Lightning : Tim McGauley (53), Y:2019-RND:4-NYI.
[06.11.2018 22:35:18] - TRADE : From Ottawa Senators to Tampa Bay Lightning : Y:2020-RND:3-OTT.
[06.11.2018 22:35:18] - TRADE : From Tampa Bay Lightning to Ottawa Senators : Tomas Plekanec (70).
[05.10.2018 23:28:25] - Alex Biega was released.
[05.10.2018 23:28:25] - Tampa Bay Lightning paid 0 € to release Alex Biega.
[04.10.2018 20:33:31] - Dan Girardi signed with Tampa Bay Lightning for 1.800.000 € for 2 year(s).
[04.10.2018 20:33:31] - Dan Girardi was added to Tampa Bay Lightning.
[02.10.2018 18:49:49] - Matt Stajan was released.
[02.10.2018 18:49:49] - Tampa Bay Lightning paid 900.000 € to release Matt Stajan.
[02.10.2018 18:49:20] - Paul Postma signed with Tampa Bay Lightning for 450.000 € for 1 year(s).
[02.10.2018 18:49:20] - Paul Postma was added to Tampa Bay Lightning.
[23.09.2018 09:59:56] - Zach Redmond was released.
[23.09.2018 09:59:56] - Tampa Bay Lightning paid 0 € to release Zach Redmond.

[24.05.2019 22:40:05] Teddy Purcell from Naples Stingrays is back from Sore Right Knee Injury.
[21.05.2019 22:17:27] Auto Lines Partial Function has been run for Naples Stingrays.
[21.05.2019 22:17:27] Auto Roster Farm Only Function has been run for Tampa Bay Lightning.
[21.05.2019 22:17:27] Naples Stingrays roster errors : Not enough Forward available in Farm Team! 11 Dressed. 12 Required. Not enough Players available in Farm Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[19.05.2019 22:36:52] Game 91 - Teddy Purcell from Naples Stingrays is injured (Sore Right Knee) and is out for 1 week.
[19.05.2019 22:36:48] Auto Lines Partial Function has been run for Naples Stingrays.
[19.05.2019 22:36:48] Auto Roster Farm Only Function has been run for Tampa Bay Lightning.
[19.05.2019 22:36:48] Naples Stingrays roster errors : Not enough Forward available in Farm Team! 10 Dressed. 12 Required. Not enough Players available in Farm Team! 16 Dressed. 18 Required. Some errors will be automatically fixed.
[15.05.2019 23:15:38] J.T. Brown from Naples Stingrays is back from Sore Left Knee Injury.
[15.05.2019 23:15:38] Paul Postma from Naples Stingrays is back from Strained Right Elbow Injury.
[15.05.2019 23:15:38] Game 89 - Greg McKegg from Naples Stingrays is injured (Lacerated Right Calf) and is out for 3 months.
[15.05.2019 23:15:38] Game 89 - Paul Postma from Naples Stingrays is injured (Strained Right Elbow) and is out for 1 days.
[15.05.2019 23:15:38] Game 89 - J.T. Brown from Naples Stingrays is injured (Sore Left Knee) and is out for 5 days.
[14.05.2019 22:15:26] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database.
[12.05.2019 23:00:13] Last 30 Days Farm Star : 1 - Jean-Sebastien Dea of Charlottetown Mussle Shovelers (11-12-23) / 2 - Tanner Fritz of Naples Stingrays (12-9-21) / 3 - Denis Malgin of Florida Everblades (10-11-21)
[12.05.2019 22:59:16] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database.
[06.05.2019 21:39:55] Kristers Gudlevskis from Naples Stingrays is back from Exhaustion.
[06.05.2019 21:39:55] Paul Postma from Naples Stingrays is back from Exhaustion.
[06.05.2019 21:30:09] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database.
[05.05.2019 20:45:15] Kristers Gudlevskis from Naples Stingrays injured (Exhaustion)
[05.05.2019 20:45:15] Paul Postma from Naples Stingrays is injured from Exhaustion.
[03.05.2019 23:16:43] Last 7 Days Farm Star : 1 - Tanner Fritz of Naples Stingrays (8-6-14) / 2 - Travis St. Denis of Alberta Fire (5-6-11) / 3 - Pat Cannone of Charlotte Checkers (6-5-11)
[29.04.2019 22:08:58] Henri Ikonen from Naples Stingrays is back from Sprained Left Finger Injury.
[29.04.2019 22:08:36] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database.
[24.04.2019 22:01:00] Austin Wagner from Naples Stingrays has scored a Hat Trick!
[24.04.2019 22:01:00] Tanner Fritz from Naples Stingrays has scored a Hat Trick!
[23.04.2019 23:09:49] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database.
[22.04.2019 22:32:30] Mark Barberio from Tampa Bay Lightning is back from Left Forearm Injury.
[22.04.2019 22:32:30] Game 36 - Henri Ikonen from Naples Stingrays is injured (Sprained Left Finger) and is out for 2 weeks.
[17.04.2019 21:43:58] Stephen MacAulay from Naples Stingrays is back from Strained Right Elbow Injury.
[17.04.2019 21:43:28] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database.
[16.04.2019 22:58:28] Last 7 Days Farm Star : 1 - Matt Read of Florida Everblades (5-3-8) / 2 - Ryan Donato of Providence Bruins (5-2-7) / 3 - J.T. Brown of Naples Stingrays (5-3-8)
[14.04.2019 00:23:56] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database.
[12.04.2019 23:20:18] Tanner Richard from Tampa Bay Lightning is back from Bruised Left Arm Injury.
[12.04.2019 23:19:37] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database.
[11.04.2019 22:32:34] Paul Postma from Naples Stingrays is back from Exhaustion.
[11.04.2019 22:26:07] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database.
[10.04.2019 22:36:07] Paul Postma from Naples Stingrays is injured from Exhaustion.
[10.04.2019 22:36:07] Game 4 - Stephen MacAulay from Naples Stingrays is injured (Strained Right Elbow) and is out for 1 week.
[10.04.2019 22:35:58] Auto Lines Function has been run for Naples Stingrays.
[10.04.2019 22:35:58] Auto Lines Partial Function has been run for Naples Stingrays.
[10.04.2019 22:35:58] Auto Roster Farm Only Function has been run for Tampa Bay Lightning.
[10.04.2019 22:35:58] Naples Stingrays roster errors : Not enough Goalie available in Farm Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[10.04.2019 22:33:55] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database.
[08.04.2019 23:05:33] Paul Postma from Naples Stingrays is back from Abdominal Strain Injury.
[08.04.2019 23:04:19] Jake Dotchin from Tampa Bay Lightning is back from Exhaustion.
[07.04.2019 22:43:09] Jake Dotchin from Tampa Bay Lightning is injured from Exhaustion.
[07.04.2019 22:42:59] Auto Lines Partial Function has been run for Tampa Bay Lightning.
[07.04.2019 22:42:59] Auto Roster Partial Function has been run for Tampa Bay Lightning.
[07.04.2019 22:42:59] Tampa Bay Lightning roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT