LAAHS - Lightning

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

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	Tyler Seguin	X		X		100.00	73	43	92	90	74	85	99	83	95	87	84	67	87	74	77	84	59	77	0
2	Ryan Nugent-Hopkins	X	X			100.00	71	43	89	86	70	84	89	83	77	84	81	76	61	71	71	83	53	75	0
3	Mikko Koivu	X				100.00	61	42	86	79	80	79	82	80	96	80	64	77	76	83	86	75	59	72	0
4	Nick Foligno	X	X	X		100.00	89	80	82	83	74	77	90	78	67	72	69	77	25	79	81	77	60	72	0
5	Jon Marchessault		X	X		100.00	77	43	82	86	61	78	97	79	48	79	82	60	41	64	66	79	59	71	0
6	Ryan Dzingel	X	X	X		100.00	69	52	88	82	70	75	96	72	41	79	80	58	25	62	62	78	59	69	0
7	Matt Cullen (A)	X	X			100.00	65	42	93	74	74	59	92	58	81	64	59	88	73	98	99	67	59	69	0
8	Andrew Cogliano	X	X	X		100.00	73	42	90	91	63	63	96	63	36	62	55	81	72	84	87	68	59	68	0
9	Cedric Paquette	X	X			100.00	99	60	72	82	73	62	85	58	87	59	68	84	53	67	71	72	59	68	0
10	Chris Wagner	X		X		100.00	98	70	81	77	72	65	95	60	45	59	65	82	25	64	65	73	59	67	0
11	Tyson Jost	X	X	X		100.00	69	42	93	87	69	64	91	74	45	66	68	60	25	56	57	71	59	66	0
12	Eric Tangradi	X	X	X		100.00	78	83	67	65	83	73	77	61	50	57	59	67	56	52	52	63	23	61	0
13	Noah Hanifin				X	100.00	76	44	94	88	77	81	97	66	25	62	49	74	63	64	64	66	60	71	0
14	Johnny Boychuk				X	100.00	84	56	89	74	83	76	83	63	25	56	48	80	25	75	80	64	50	70	0
15	Colin Miller				X	100.00	84	45	80	79	72	79	91	78	25	65	47	62	25	64	65	65	59	68	0
16	Andrej Sekera				X	100.00	69	43	91	79	73	70	55	65	25	52	47	78	25	79	80	61	59	67	0
17	Michael Stone				X	100.00	84	46	80	76	79	69	67	60	25	56	48	77	25	67	68	63	59	67	0
18	Nicolas Deslauriers		X		X	100.00	93	71	86	71	79	56	77	57	25	56	56	63	25	65	65	62	28	64	0
Rayé
1	Alexander True	X		X		100.00	79	78	82	67	78	80	84	66	80	63	64	70	61	55	55	68	45	65	0
2	Radko Gudas				X	100.00	98	70	77	77	74	75	95	62	25	58	47	95	25	67	68	67	40	74	0

	MOYENNE D'ÉQUIPE					100.00	79	55	85	80	74	73	87	68	51	66	62	74	45	70	71	70	53	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	Braden Holtby	100.00	81	86	83	80	82	81	62	81	81	81	80	69	72	79	58	76	0
2	Jake Oettinger (R)	100.00	67	56	70	86	69	66	72	76	70	70	30	44	44	68	58	67	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	74	71	77	83	76	74	67	79	76	76	55	57	58	74	58	72

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Ken Hitchcock	94	64	72	63	99	97	82	CAN	63	2	907,500$

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	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Alexander True	Lightning	C/RW	20	1997-07-17	No	201 Lbs	6 ft5	No	No	No	2	Pro & Farm	763,333$	763,333$	0$	No	763,333$				Lien
Andrej Sekera	Lightning	D	32	1986-06-08	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	5,500,000$	5,500,000$	0$	No					Lien
Andrew Cogliano	Lightning	C/LW/RW	31	1987-06-14	No	177 Lbs	5 ft10	No	No	No	2	Pro & Farm	3,250,000$	3,250,000$	0$	No	3,250,000$				Lien
Braden Holtby	Lightning	G	28	1989-09-16	No	211 Lbs	6 ft2	No	No	No	1	Pro & Farm	5,950,000$	5,950,000$	0$	No					Lien
Cedric Paquette	Lightning	C/LW	24	1993-08-13	No	198 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,650,000$	1,650,000$	0$	No	1,650,000$				Lien
Chris Wagner	Lightning	C/RW	27	1991-05-27	No	198 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	0$	No					Lien
Colin Miller	Lightning	D	25	1992-10-29	No	196 Lbs	6 ft1	No	No	No	2	Pro & Farm	3,875,000$	3,875,000$	0$	No	3,875,000$				Lien
Eric Tangradi	Lightning	C/LW/RW	29	1989-02-10	No	221 Lbs	6 ft4	No	No	No	1	Pro & Farm	715,000$	715,000$	0$	No					Lien
Jake Oettinger	Lightning	G	19	1998-12-18	Yes	212 Lbs	6 ft4	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	No	925,000$	925,000$			Lien
Johnny Boychuk	Lightning	D	34	1984-01-19	No	227 Lbs	6 ft2	No	No	No	1	Pro & Farm	6,000,000$	6,000,000$	0$	No					Lien
Jon Marchessault	Lightning	LW/RW	27	1990-12-27	No	174 Lbs	5 ft9	No	No	No	5	Pro & Farm	5,000,000$	5,000,000$	0$	No	5,000,000$	5,000,000$	5,000,000$	5,000,000$	Lien
Matt Cullen	Lightning	C/LW	41	1976-11-02	No	202 Lbs	6 ft1	No	No	No	1	Pro & Farm	715,000$	715,000$	0$	No					Lien
Michael Stone	Lightning	D	28	1990-06-06	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	3,500,000$	3,500,000$	0$	No					Lien
Mikko Koivu	Lightning	C	35	1983-03-11	No	215 Lbs	6 ft3	No	No	No	1	Pro & Farm	5,500,000$	5,500,000$	0$	No					Lien
Nick Foligno	Lightning	C/LW/RW	30	1987-10-30	No	202 Lbs	6 ft0	No	No	No	1	Pro & Farm	5,500,000$	5,500,000$	0$	No					Lien
Nicolas Deslauriers	Lightning	LW/D	27	1991-02-22	No	215 Lbs	6 ft1	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	No					Lien
Noah Hanifin	Lightning	D	21	1997-01-25	No	206 Lbs	6 ft3	No	No	No	4	Pro & Farm	4,950,000$	4,950,000$	0$	No	4,950,000$	4,950,000$	4,950,000$		Lien
Radko Gudas	Lightning	D	28	1990-06-04	No	204 Lbs	6 ft0	No	No	No	1	Pro & Farm	3,350,000$	3,350,000$	0$	No					Lien
Ryan Dzingel	Lightning	C/LW/RW	26	1992-03-09	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	3,375,000$	3,375,000$	0$	No	3,375,000$				Lien
Ryan Nugent-Hopkins	Lightning	C/LW	25	1993-04-11	No	191 Lbs	6 ft0	No	No	No	2	Pro & Farm	6,000,000$	6,000,000$	0$	No	6,000,000$				Lien
Tyler Seguin	Lightning	C/RW	26	1992-01-30	No	201 Lbs	6 ft1	No	No	No	5	Pro & Farm	9,850,000$	9,850,000$	0$	No	9,850,000$	9,850,000$	9,850,000$	9,850,000$	Lien
Tyson Jost	Lightning	C/LW/RW	20	1998-03-14	No	191 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,704,000$	1,704,000$	0$	No					Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.41	202 Lbs	6 ft1	1.86	3,648,742$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
80,272,333$	39,638,333$	20,725,000$	19,800,000$	14,850,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Ryan Nugent-Hopkins	Tyler Seguin	Nick Foligno	35	1	2	2
2	Jon Marchessault	Mikko Koivu	Ryan Dzingel	30	1	2	2
3	Cedric Paquette	Matt Cullen	Andrew Cogliano	23	1	2	2
4	Tyson Jost	Chris Wagner	Eric Tangradi	12	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Noah Hanifin	Johnny Boychuk	42	1	2	2
2	Colin Miller	Andrej Sekera	33	1	2	2
3	Michael Stone		25	1	2	2
4	Noah Hanifin	Johnny Boychuk	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Ryan Nugent-Hopkins	Tyler Seguin	Nick Foligno	60	1	2	2
2	Jon Marchessault	Mikko Koivu	Ryan Dzingel	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Noah Hanifin	Johnny Boychuk	60	1	2	2
2	Colin Miller	Andrej Sekera	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Matt Cullen	Chris Wagner	60	1	2	2
2	Cedric Paquette	Andrew Cogliano	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Michael Stone		60	1	2	2
2	Noah Hanifin	Johnny Boychuk	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Matt Cullen	60	1	2	2	Colin Miller	Andrej Sekera	60	1	2	2
2	Cedric Paquette	40	1	2	2	Michael Stone		40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Tyler Seguin	Ryan Nugent-Hopkins	60	1	2	2
2	Nick Foligno	Mikko Koivu	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Colin Miller	Andrej Sekera	60	1	2	2
2	Michael Stone		40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ryan Nugent-Hopkins	Tyler Seguin	Nick Foligno	Noah Hanifin	Johnny Boychuk

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Ryan Nugent-Hopkins	Tyler Seguin	Nick Foligno	Noah Hanifin	Johnny Boychuk

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matt Cullen, Cedric Paquette, Andrew Cogliano	Matt Cullen, Cedric Paquette	Andrew Cogliano

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Michael Stone, , Colin Miller	Michael Stone	, Colin Miller

Tirs de Pénalité
Tyler Seguin, Ryan Nugent-Hopkins, Nick Foligno, Mikko Koivu, Jon Marchessault

Gardien
#1 : Braden Holtby, #2 : Jake Oettinger

Lignes d'Attaque Perso. en Prol.
Tyler Seguin, Ryan Nugent-Hopkins, Nick Foligno, Mikko Koivu, Jon Marchessault, Matt Cullen, Matt Cullen, Ryan Dzingel, Cedric Paquette, Andrew Cogliano, Chris Wagner

Lignes de Défense Perso. en Prol.
Noah Hanifin, Johnny Boychuk, Colin Miller, Andrej Sekera, Michael Stone

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

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

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

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

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

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

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

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

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

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

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

Derniers Match Joués Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

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

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6000	5000	2000	4000	1000
Prix des Billets	85	75	55	40	150
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
41	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
0$	80,272,333$	43,122,333$	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$	22	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$	36,402,748$	36,402,748$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Ryan Nugent-Hopkins	AGE:25	PO:83	OV:75
Nick Foligno	AGE:30	PO:77	OV:72
Jon Marchessault	AGE:27	PO:79	OV:71
Ryan Dzingel	AGE:26	PO:78	OV:69
Matt Cullen	AGE:41	PO:67	OV:69
Cedric Paquette	AGE:24	PO:72	OV:68
Andrew Cogliano	AGE:31	PO:68	OV:68
Tyson Jost	AGE:20	PO:71	OV:66
Colby Cave	AGE:23	PO:65	OV:64
Nicolas Deslauriers	AGE:27	PO:62	OV:64
Brendan Gaunce	AGE:24	PO:66	OV:63
Cory Conacher	AGE:28	PO:65	OV:63
Teddy Blueger	AGE:23	PO:71	OV:62
Eric Tangradi	AGE:29	PO:63	OV:61
*Ross Colton	AGE:21	PO:61	OV:58
Brett Pollock	AGE:22	PO:54	OV:55
Matheson Iacopelli	AGE:24	PO:53	OV:53

Tyler Seguin	AGE:26	PO:84	OV:77
Ryan Nugent-Hopkins	AGE:25	PO:83	OV:75
Nick Foligno	AGE:30	PO:77	OV:72
Mikko Koivu	AGE:35	PO:75	OV:72
Ryan Dzingel	AGE:26	PO:78	OV:69
Matt Cullen	AGE:41	PO:67	OV:69
Cedric Paquette	AGE:24	PO:72	OV:68
Andrew Cogliano	AGE:31	PO:68	OV:68
Chris Wagner	AGE:27	PO:73	OV:67
Tyson Jost	AGE:20	PO:71	OV:66
Alexander True	AGE:20	PO:68	OV:65
Colby Cave	AGE:23	PO:65	OV:64
*Brett Howden	AGE:20	PO:66	OV:63
Brendan Gaunce	AGE:24	PO:66	OV:63
Boo Nieves	AGE:24	PO:65	OV:63
Teddy Blueger	AGE:23	PO:71	OV:62
Nicolas Roy	AGE:21	PO:66	OV:62
Eric Tangradi	AGE:29	PO:63	OV:61
*Ross Colton	AGE:21	PO:61	OV:58
Travis St. Denis	AGE:25	PO:60	OV:58

Tyler Seguin	AGE:26	PO:84	OV:77
Nick Foligno	AGE:30	PO:77	OV:72
Jon Marchessault	AGE:27	PO:79	OV:71
Ryan Dzingel	AGE:26	PO:78	OV:69
Andrew Cogliano	AGE:31	PO:68	OV:68
Chris Wagner	AGE:27	PO:73	OV:67
Tyson Jost	AGE:20	PO:71	OV:66
Alexander True	AGE:20	PO:68	OV:65
Cory Conacher	AGE:28	PO:65	OV:63
Teddy Blueger	AGE:23	PO:71	OV:62
Eric Tangradi	AGE:29	PO:63	OV:61
Travis St. Denis	AGE:25	PO:60	OV:58
*Marian Studenic	AGE:19	PO:61	OV:57
Brett Pollock	AGE:22	PO:54	OV:55
Matheson Iacopelli	AGE:24	PO:53	OV:53

Défense #1

Défense #2

Gardien

Radko Gudas	AGE:28	PO:67	OV:74
Noah Hanifin	AGE:21	PO:66	OV:71
Johnny Boychuk	AGE:34	PO:64	OV:70
Colin Miller	AGE:25	PO:65	OV:68
Michael Stone	AGE:28	PO:63	OV:67
Andrej Sekera	AGE:32	PO:61	OV:67
Nicolas Deslauriers	AGE:27	PO:62	OV:64

Dalton Prout	AGE:28	PO:59	OV:62
Nick DeSimone	AGE:23	PO:61	OV:61
*Igor Ozhiganov	AGE:25	PO:59	OV:60
*Matt Donovan	AGE:28	PO:59	OV:60
*Riley Stillman	AGE:20	PO:53	OV:58
*Colby Sissons	AGE:20	PO:53	OV:57
Parker Wotherspoon	AGE:20	PO:53	OV:55

Braden Holtby	AGE:28	PO:79	OV:76
*Jake Oettinger	AGE:19	PO:68	OV:67
*Devin Williams	AGE:22	PO:68	OV:64
Mike McKenna	AGE:35	PO:51	OV:53
*Etienne Marcoux	AGE:24	PO:50	OV:51

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
Adam Edstrom	Lightning	2019	178
Alexander Green	Lightning	2018	127
Anthony Brodeur	Lightning	2013	208
Ben Smith	Lightning
Brett Murray	Lightning	2016	93
Bryce Gervais	Lightning
David Broll	Lightning
Felix Bibeau	Lightning	2019	148
Hayden Hawkey	Lightning	2014	141
JACK BECKER	Lightning	2015	156
JAYNEN RISSLING	Lightning	2012	197
Jared Moe	Lightning	2018	185
Jordan Spence	Lightning	2019	88
Justin Hickman	Lightning
Kaedan Korczak	Lightning	2019	53
Klas Dahlbeck	Lightning
Maksim Sushko	Lightning	2017	128
Markus Eisenschmid	Lightning
Matteson Iacopelli	Lightning	2014	111
Myles Bell	Lightning	2013	86
Niclas Almari	Lightning	2016	183
Ondrej Pavelec	Lightning
Patrick Kudla	Lightning	2016	153
Patrik Siikanen	Lightning	2018	199
Pontus Holmberg	Lightning	2018	169
Samuel Bolduc	Lightning	2019	50
Sean Durzi	Lightning	2018	79
Semyon Der-Arguchintsev	Lightning	2018	75
Thomas DiPauli	Lightning
Zach Pochiro	Lightning	2013	116

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7	R8
2020	TAM	TAM	TAM COL	TAM	TAM	TAM	NYR TAM	TAM COL
2021	TAM	TAM	TAM	TAM	TAM	TAM	TAM	TAM
2022	TAM	TAM	TAM	TAM	TAM	TAM	TAM	TAM
2023	TAM	TAM	TAM	TAM	TAM	TAM	TAM	TAM
2024	TAM	TAM	TAM	TAM	TAM	TAM	TAM	TAM

[2020-05-26 15:38:33] - Hershey Bears was eliminated at round 3 of year 2019.
[2020-04-29 17:02:26] - Lightning didn't make playoff for year 2019.
[2020-01-27 13:17:18] - TRADE : From Avalanche to Lightning : Cedric Paquette (68), Y:2020-RND:3-COL, Y:2020-RND:8-COL.
[2020-01-27 13:17:18] - TRADE : From Lightning to Avalanche : Carl Soderberg (74).
[2019-12-30 11:09:23] - New Record for Team's Most Hits (39) in 1 Game for Lightning!
[2019-11-07 17:39:22] - New Record for Team's Most Shots Blocked (25) in 1 Game for Lightning!
[2019-09-08 15:46:11] - Igor Ozhiganov signed with Lightning for 500 000 $ for 1 year(s) / Option : No Trade.
[2019-09-08 15:46:11] - Igor Ozhiganov was added to Lightning.
[2019-09-08 15:42:17] - Etienne Marcoux signed with Lightning for 575 000 $ for 1 year(s) / Option : No Trade.
[2019-09-08 15:42:17] - Etienne Marcoux was added to Lightning.

[2020-05-29 13:23:07] Dalton Prout from Hershey Bears is back from Bruised Right Shoulder Injury.
[2020-05-26 15:38:32] Game 93 - Dalton Prout from Hershey Bears is injured (Bruised Right Shoulder) and is out for 2 weeks.
[2020-05-26 15:38:12] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-25 19:17:16] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-22 14:18:22] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-21 16:30:13] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-20 16:56:47] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-19 13:08:05] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-19 08:29:57] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-15 11:49:05] Game 74 - Brett Pollock from Hershey Bears is injured (Strained Right Elbow) and is out for 3 months.
[2020-05-14 17:20:40] Devin Williams from Hershey Bears is back from Exhaustion.
[2020-05-14 17:20:40] Devin Williams from Hershey Bears injured (Exhaustion)
[2020-05-13 18:48:39] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-12 13:13:32] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-11 13:18:59] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-08 13:15:41] Radko Gudas from Lightning is back from Sprained Left Finger Injury.
[2020-05-06 18:51:33] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-05 16:28:03] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-04 16:35:00] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-05-01 16:38:54] Cory Conacher from Hershey Bears has scored a Hat Trick!
[2020-05-01 16:38:47] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-04-30 13:27:05] Dalton Prout of Lightning was sent down to farm.
[2020-04-29 16:58:16] Nicolas Deslauriers from Lightning is back from Left Knee Injury.
[2020-04-28 19:30:00] Alexander True from Lightning is back from Chest/Ribs Injury.
[2020-04-28 19:30:00] Lightning lines for next game are empty. Current rosters/lines are not erased.
[2020-04-24 15:04:40] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-04-24 15:04:40] Colby Cave of Lightning was sent down to farm.
[2020-04-24 15:04:40] Brendan Gaunce of Lightning was sent down to farm.
[2020-04-24 15:02:34] Auto Lines Function has been run for Lightning.
[2020-04-24 15:02:34] Auto Roster Partial Function has been run for Lightning.
[2020-04-24 15:02:32] Dalton Prout of Lightning was sent to pro.
[2020-04-24 15:02:32] Brendan Gaunce of Lightning was sent to pro.
[2020-04-24 15:02:32] Colby Cave of Lightning was sent to pro.
[2020-04-23 16:06:35] Game 1209 - Nicolas Deslauriers from Lightning is injured (Left Knee) and is out for 2 weeks.
[2020-04-22 17:04:30] Teddy Blueger from Hershey Bears is back from Left Eye Injury.
[2020-04-20 16:03:12] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-04-16 18:33:21] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-04-15 17:04:44] Game 1228 - Teddy Blueger from Hershey Bears is injured (Left Eye) and is out for 2 weeks.
[2020-04-14 17:27:08] Successfully loaded Lightning lines done with STHS Client - 3.2.0.5
[2020-04-14 17:27:08] Parker Wotherspoon of Lightning was sent down to farm.

Pas de Blessure ou de Suspension.

Afficher ou Masquer des Colonnes

	Ligue											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Saison Régulière
2016	82	38	25	0	5	8	6	0	269	247	22	41	20	15	0	2	2	2	0	135	121	14	41	18	10	0	3	6	4	0	134	126	8	76	269	423	692	3	0	84	88	86	14	2778	925	927	905	43	2773	924	416	1816	203	43	21.18%	138	28	79.71%	2	1035	1989	52.04%	1019	1921	53.05%	627	1216	51.56%	1778	1043	1755	733	1448	723
2017	82	32	27	0	4	11	5	3	253	237	16	41	20	12	0	1	6	0	2	133	117	16	41	12	15	0	3	5	5	1	120	120	0	64	253	403	656	3	0	68	88	88	12	2865	884	1034	908	76	2761	918	439	1687	228	44	19.30%	207	44	78.74%	3	1054	1947	54.13%	1087	1966	55.29%	652	1194	54.61%	1786	1044	1749	743	1446	723
2018	82	42	27	0	4	4	5	0	273	226	47	41	20	14	0	1	3	3	0	133	106	27	41	22	13	0	3	1	2	0	140	120	20	84	273	448	721	3	1	68	106	90	15	2989	996	1032	937	43	2641	913	617	1676	221	57	25.79%	232	43	81.47%	2	1014	1962	51.68%	908	1776	51.13%	643	1237	51.98%	1795	1069	1733	729	1425	702
2019	82	29	36	0	3	6	5	3	236	264	-28	41	15	17	0	2	2	4	1	118	130	-12	41	14	19	0	1	4	1	2	118	134	-16	83	236	380	616	1	0	58	100	70	19	2784	880	989	892	54	2747	905	517	1691	187	36	19.25%	243	54	77.78%	1	965	1890	51.06%	960	1883	50.98%	623	1190	52.35%	1765	1031	1757	746	1448	712
Total Saison Régulière	328	141	115	0	16	29	21	6	1031	974	57	164	75	58	0	6	13	9	3	519	474	45	164	66	57	0	10	16	12	3	512	500	12	307	1031	1654	2685	10	1	278	382	334	60	11416	3685	3982	3642	216	10922	3660	1989	6870	839	180	21.45%	820	169	79.39%	8	4068	7788	52.23%	3974	7546	52.66%	2545	4837	52.62%	7126	4189	6996	2952	5768	2862