PIFFPACK - Lightning

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Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
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Historique
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Blessure/Suspension
Stats d'équipe en Carrière
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	Blake Wheeler			X		98.00	72	52	73	77	94	87	95	78	58	92	72	76	75	82	91	52	70	86	0
2	Taylor Hall		X			96.00	61	40	80	91	78	85	62	86	64	89	77	58	82	75	73	76	70	84	0
3	Viktor Arvidsson			X		100.00	56	40	79	83	65	86	72	78	53	71	90	79	85	71	73	58	70	83	0
4	Phil Kessel			X		100.00	52	38	84	82	75	83	95	81	52	85	77	53	79	80	82	54	70	82	0
5	Bo Horvat	X				99.00	64	44	82	77	76	87	95	76	90	77	77	70	73	67	74	82	70	80	0
6	Kyle Connor		X			100.00	52	37	88	79	74	85	95	78	53	76	82	64	80	65	68	82	70	80	0
7	Matthew Tkachuk		X	X		100.00	80	54	68	79	81	83	93	78	53	81	82	56	80	63	64	88	73	80	0
8	Patrik Laine			X		100.00	67	40	79	80	91	83	95	79	54	72	78	57	82	61	64	91	70	78	0
9	Mikko Koivu	X				100.00	54	40	80	72	87	83	61	71	86	78	66	82	69	86	91	42	70	76	0
10	Andrei Svechnikov		X	X		100.00	81	42	74	70	79	77	95	73	51	67	72	53	71	59	62	93	70	73	0
11	Sam Steel	X				100.00	54	37	88	68	70	84	68	67	71	65	69	64	65	62	62	78	70	71	0
12	Nate Thompson	X				100.00	75	42	88	60	79	73	91	59	78	60	58	77	58	85	75	25	70	69	0
13	Zdeno Chara				X	96.00	79	56	67	65	99	87	75	65	30	70	64	88	53	92	96	25	68	80	0
14	Mattias Ekholm				X	97.00	67	45	79	75	88	90	93	73	30	81	67	84	56	77	72	53	70	79	0
15	Duncan Keith				X	100.00	58	49	69	77	76	89	95	73	30	80	62	81	58	86	77	34	71	77	0
16	Jake Gardiner				X	100.00	72	39	82	84	81	87	75	84	30	84	60	72	52	77	69	67	70	77	0
17	Adam Pelech				X	100.00	84	38	85	65	87	84	91	64	30	73	61	82	52	69	65	64	70	75	0
18	Vince Dunn				X	100.00	62	46	77	73	75	83	91	79	30	76	72	77	58	65	67	69	70	74	0
Rayé
1	Gabriel Bourque		X	X		100.00	83	36	90	63	72	75	68	62	57	64	61	88	56	77	69	52	20	71	0
2	Mark Barberio				X	100.00	57	36	91	58	77	78	50	57	30	51	56	72	48	77	69	40	20	66	0

	MOYENNE D'ÉQUIPE					99.30	67	43	80	74	80	83	83	73	52	75	70	72	67	74	73	61	65	77

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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

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Robin Lehner	95.00	95	91	89	95	94	93	95	94	93	95	94	75	81	61	69	89	0
2	Laurent Brossoit	100.00	87	75	73	84	86	85	87	86	85	87	86	71	75	47	70	81	0
Rayé
1	Anthony Stolarz	100.00	78	81	79	94	77	76	78	77	76	78	77	69	73	72	20	76	0

	MOYENNE D'ÉQUIPE	98.33	87	82	80	91	86	85	87	86	85	87	86	72	76	60	53	82

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Tortorella	81	88	86	88	90	84	55	USA	60	3	3,750,000$

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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

#	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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Taylor Hall	Lightning	LW	30	16	26	42	10	14	0	44	29	152	52	91	10.53%	17	666	22.20	2	17	19	25	112	0	1	1	0	57	4	1	57.81%	64	38	10	0	1.26	1	5	0	0	0	5	5	1
2	Blake Wheeler	Lightning	RW	30	9	17	26	10	24	0	60	33	105	23	67	8.57%	17	611	20.38	4	5	9	9	64	1	0	1	1	53	1	0	36.25%	160	15	10	0	0.85	1	5	0	0	0	4	2	0
3	Bo Horvat	Lightning	C	30	7	15	22	8	8	0	42	44	54	9	21	12.96%	12	626	20.87	5	4	9	8	102	0	0	0	2	32	1	0	52.95%	848	7	18	1	0.70	0	0	0	0	0	0	1	0
4	Matthew Tkachuk	Lightning	LW/RW	30	8	10	18	-3	31	5	43	19	79	29	51	10.13%	9	441	14.71	3	5	8	15	75	0	0	0	0	2	0	0	47.78%	90	26	13	0	0.82	0	1	1	0	0	0	3	1
5	Viktor Arvidsson	Lightning	RW	30	8	8	16	8	12	0	24	26	76	25	35	10.53%	9	452	15.08	3	1	4	14	96	1	0	1	2	79	0	1	52.94%	34	18	6	0	0.71	3	4	0	0	0	1	0	0
6	Jake Gardiner	Lightning	D	30	6	8	14	-2	10	0	28	35	49	17	15	12.24%	32	586	19.55	2	3	5	11	98	0	0	0	1	35	1	1	0.00%	0	9	16	0	0.48	0	0	0	0	0	0	1	2
7	Mikko Koivu	Lightning	C	30	4	9	13	3	6	0	39	54	33	8	21	12.12%	9	486	16.21	1	1	2	5	51	0	1	1	0	55	0	0	56.18%	477	5	9	0	0.53	0	0	0	0	0	0	1	1
8	Kyle Connor	Lightning	LW	30	3	7	10	4	0	0	26	45	85	34	57	3.53%	3	447	14.90	1	1	2	6	67	0	0	0	1	30	1	0	22.73%	22	19	5	0	0.45	0	0	0	0	0	0	1	1
9	Mattias Ekholm	Lightning	D	30	1	9	10	16	20	0	38	60	40	17	17	2.50%	57	842	28.09	0	4	4	5	107	0	1	1	1	112	0	0	0.00%	0	26	35	0	0.24	0	0	0	0	0	0	0	1
10	Zdeno Chara	Lightning	D	30	2	7	9	16	90	10	61	39	39	18	22	5.13%	67	775	25.84	2	0	2	4	70	0	1	1	0	87	0	0	0.00%	0	6	27	0	0.23	0	0	0	1	1	0	0	0
11	Phil Kessel	Lightning	RW	30	4	4	8	-2	2	0	20	18	66	28	39	6.06%	10	384	12.81	0	2	2	4	40	0	0	0	1	26	2	1	40.00%	10	14	2	0	0.42	2	2	0	0	0	1	1	0
12	Patrik Laine	Lightning	RW	30	5	2	7	-3	6	0	18	23	60	15	52	8.33%	4	317	10.59	0	0	0	0	8	0	0	0	0	0	1	0	40.00%	20	10	4	0	0.44	1	1	0	0	0	0	2	2
13	Nate Thompson	Lightning	C	30	2	4	6	3	0	0	17	15	11	4	2	18.18%	4	238	7.95	0	0	0	0	1	0	0	0	0	27	1	1	39.42%	104	0	5	0	0.50	0	0	0	0	0	0	0	1
14	Andrei Svechnikov	Lightning	LW/RW	30	4	1	5	2	4	0	31	8	35	9	7	11.43%	4	260	8.69	0	0	0	0	1	0	0	0	1	38	1	0	40.00%	25	3	0	0	0.38	0	0	0	0	0	0	0	1
15	Adam Pelech	Lightning	D	30	1	3	4	1	2	0	22	19	10	5	4	10.00%	22	390	13.03	1	0	1	1	4	0	0	0	0	45	0	0	0.00%	0	1	15	0	0.20	0	0	0	0	0	0	0	0
16	Duncan Keith	Lightning	D	30	0	2	2	-2	27	5	23	38	30	12	14	0.00%	27	642	21.42	0	0	0	5	97	0	0	0	1	76	0	0	0.00%	0	6	23	0	0.06	0	0	0	0	1	0	0	0
17	Sam Steel	Lightning	C	30	0	2	2	0	2	0	16	28	21	4	7	0.00%	6	306	10.22	0	0	0	0	0	0	0	0	0	0	0	0	48.31%	178	0	6	0	0.13	0	0	0	0	0	0	0	0
18	Vince Dunn	Lightning	D	30	0	0	0	-1	28	0	14	18	24	9	6	0.00%	23	413	13.78	0	0	0	1	37	0	0	0	0	47	0	0	0.00%	0	7	6	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				540	80	134	214	68	286	20	566	551	969	318	528	8.26%	332	8890	16.46	24	43	67	113	1038	2	4	6	11	810	13	5	50.54%	2032	210	210	1	0.48	8	18	1	1	2	11	17	11

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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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Robin Lehner	Lightning	30	18	10	2	0.930	2.31	1790	69	984	418	2	0.842	19	30	0	6	4	4
2	Laurent Brossoit	Lightning	1	0	0	0	1.000	0.00	41	0	20	11	0	0.000	0	0	30	0	0	0
Stats d'équipe Total ou en Moyenne			31	18	10	2	0.931	2.26	1832	69	1004	429	2	0.842	19	30	30	6	4	4

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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

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 Pelech	Lightning	D	23	1994-08-16	No	218 Lbs	6 ft3	No	No	No	2	Contrat d'Entrée	Pro & Farm	1,600,000$	1,600,000$	998,942$	No	Lien
Andrei Svechnikov	Lightning	LW/RW	17	2000-03-26	No	195 Lbs	6 ft2	No	No	No	2	Contrat d'Entrée	Pro & Farm	925,000$	925,000$	577,513$	No	Lien
Anthony Stolarz	Lightning	G	23	1994-01-20	No	210 Lbs	6 ft6	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	468,254$	No	Lien
Blake Wheeler	Lightning	RW	31	1986-08-31	No	225 Lbs	6 ft5	No	No	No	5	Sans Restriction	Pro & Farm	8,250,000$	8,250,000$	5,150,794$	No	Lien
Bo Horvat	Lightning	C	22	1995-04-05	No	215 Lbs	6 ft0	No	No	No	4	Contrat d'Entrée	Pro & Farm	5,500,000$	5,500,000$	3,433,862$	No	Lien
Duncan Keith	Lightning	D	34	1983-07-16	No	192 Lbs	6 ft1	No	No	No	4	Sans Restriction	Pro & Farm	5,538,462$	5,538,462$	3,457,876$	No	Lien
Gabriel Bourque	Lightning	LW/RW	27	1990-09-23	No	206 Lbs	5 ft10	No	No	No	1	Avec Restriction	Pro & Farm	750,000$	750,000$	468,254$	No	Lien
Jake Gardiner	Lightning	D	27	1990-07-04	No	203 Lbs	6 ft2	No	No	No	4	Avec Restriction	Pro & Farm	4,050,000$	4,050,000$	2,528,571$	No	Lien
Kyle Connor	Lightning	LW	20	1996-12-09	No	182 Lbs	6 ft1	No	No	No	7	Contrat d'Entrée	Pro & Farm	7,142,857$	7,142,857$	4,459,562$	No	Lien
Laurent Brossoit	Lightning	G	24	1993-03-23	No	204 Lbs	6 ft3	No	No	No	1	Contrat d'Entrée	Pro & Farm	1,225,000$	1,225,000$	764,815$	No	Lien
Mark Barberio	Lightning	D	27	1990-03-23	No	200 Lbs	6 ft1	No	No	No	1	Avec Restriction	Pro & Farm	1,450,000$	1,450,000$	905,291$	No	Lien
Matthew Tkachuk	Lightning	LW/RW	19	1997-12-11	No	202 Lbs	6 ft2	No	No	No	3	Contrat d'Entrée	Pro & Farm	7,000,000$	7,000,000$	4,370,370$	No	Lien
Mattias Ekholm	Lightning	D	27	1990-05-24	No	215 Lbs	6 ft4	No	No	No	3	Avec Restriction	Pro & Farm	3,750,000$	3,750,000$	2,341,270$	No	Lien
Mikko Koivu	Lightning	C	34	1983-03-12	No	219 Lbs	6 ft3	No	No	No	1	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	3,433,862$	No	Lien
Nate Thompson	Lightning	C	32	1984-10-05	No	207 Lbs	6 ft1	No	No	No	1	Sans Restriction	Pro & Farm	750,000$	750,000$	468,254$	No	Lien
Patrik Laine	Lightning	RW	19	1998-04-19	No	206 Lbs	6 ft5	No	No	No	2	Contrat d'Entrée	Pro & Farm	6,750,000$	6,750,000$	4,214,286$	No	Lien
Phil Kessel	Lightning	RW	29	1987-10-02	No	202 Lbs	6 ft0	No	No	No	3	Sans Restriction	Pro & Farm	8,000,000$	8,000,000$	4,994,709$	No	Lien
Robin Lehner (Sur la Masse Salariale)	Lightning	G	26	1991-07-24	No	240 Lbs	6 ft4	No	No	No	1	Contrat d'Entrée	Pro & Farm	5,000,000$	5,000,000$	3,121,693$	No	Lien
Sam Steel	Lightning	C	19	1998-02-03	No	186 Lbs	5 ft11	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	468,254$	No	Lien
Taylor Hall	Lightning	LW	25	1991-11-14	No	205 Lbs	6 ft1	No	No	No	1	Contrat d'Entrée	Pro & Farm	6,000,000$	6,000,000$	3,746,032$	No	Lien
Viktor Arvidsson	Lightning	RW	24	1993-04-08	No	180 Lbs	5 ft9	No	No	No	5	Contrat d'Entrée	Pro & Farm	4,250,000$	4,250,000$	2,653,439$	No	Lien
Vince Dunn	Lightning	D	20	1996-10-29	No	203 Lbs	6 ft0	No	No	No	1	Contrat d'Entrée	Pro & Farm	750,000$	750,000$	468,254$	No	Lien
Zdeno Chara	Lightning	D	40	1977-03-18	No	250 Lbs	6 ft9	No	No	No	1	Sans Restriction	Pro & Farm	2,000,000$	2,000,000$	1,248,677$	No	Lien

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	25.61	207 Lbs	6 ft2	2.39	3,812,231$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
87,681,319$	62,756,319$	53,481,319$	34,731,319$	19,642,857$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Taylor Hall	Bo Horvat	Blake Wheeler	40	1	2	2
2	Kyle Connor	Mikko Koivu	Viktor Arvidsson	30	1	2	2
3	Matthew Tkachuk	Sam Steel	Phil Kessel	20	1	2	2
4	Andrei Svechnikov	Nate Thompson	Patrik Laine	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Zdeno Chara	Mattias Ekholm	40	1	2	2
2	Duncan Keith	Jake Gardiner	30	1	2	2
3	Adam Pelech	Vince Dunn	20	1	2	2
4	Zdeno Chara	Mattias Ekholm	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Taylor Hall	Bo Horvat	Blake Wheeler	60	1	2	2
2	Kyle Connor	Mikko Koivu	Viktor Arvidsson	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Zdeno Chara	Mattias Ekholm	60	1	2	2
2	Duncan Keith	Jake Gardiner	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Blake Wheeler	Taylor Hall	60	1	2	2
2	Viktor Arvidsson	Phil Kessel	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Zdeno Chara	Mattias Ekholm	60	1	2	2
2	Duncan Keith	Jake Gardiner	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Blake Wheeler	60	1	2	2	Zdeno Chara	Mattias Ekholm	60	1	2	2
2	Taylor Hall	40	1	2	2	Duncan Keith	Jake Gardiner	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Blake Wheeler	Taylor Hall	60	1	2	2
2	Viktor Arvidsson	Phil Kessel	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Zdeno Chara	Mattias Ekholm	60	1	2	2
2	Duncan Keith	Jake Gardiner	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Taylor Hall	Bo Horvat	Blake Wheeler	Zdeno Chara	Mattias Ekholm

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Taylor Hall	Bo Horvat	Blake Wheeler	Zdeno Chara	Mattias Ekholm

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Matthew Tkachuk, Patrik Laine, Andrei Svechnikov	Matthew Tkachuk, Patrik Laine	Andrei Svechnikov

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Adam Pelech, Vince Dunn, Duncan Keith	Adam Pelech	Vince Dunn, Duncan Keith

Tirs de Pénalité
Blake Wheeler, Taylor Hall, Viktor Arvidsson, Phil Kessel, Kyle Connor

Gardien
#1 : Robin Lehner, #2 : Laurent Brossoit

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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
1	Avalanche	1	1	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	2	5	2	1.000	7	13	20	0	0	3	1	3	0	44	19	11	14	0	32	7	6	11	4	1	25.00%	3	1	66.67%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	22	14	20	8	16	8
2	Blue Jackets	2	1	1	0	0	0	0	0	9	5	4	1	0	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	6	1	5	2	0.500	9	14	23	0	0	4	1	4	0	73	24	20	29	0	70	17	17	33	11	2	18.18%	6	2	66.67%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	43	26	44	17	32	16
3	Blues	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	1	3	1	0	31	6	11	14	0	26	13	34	16	6	2	33.33%	7	1	85.71%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	22	13	21	9	16	7
4	Bruins	3	2	1	0	0	0	0	0	7	6	1	2	2	0	0	0	0	0	0	6	2	4	1	0	1	0	0	0	0	0	1	4	-3	4	0.667	7	12	19	0	0	4	3	0	0	92	35	40	17	0	99	23	24	58	8	2	25.00%	12	3	75.00%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	66	38	60	26	52	26
5	Canadiens	3	1	2	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	2	4	-2	2	1	1	0	0	0	0	0	8	5	3	2	0.333	10	16	26	0	0	4	3	3	0	93	33	34	26	0	92	42	18	49	10	1	10.00%	9	2	77.78%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	62	34	63	29	53	26
6	Devils	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	3	6	0	0	0	2	0	1	37	10	14	12	3	35	10	8	18	4	1	25.00%	4	0	100.00%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	23	13	22	9	19	8
7	Ducks	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	0	1	0	26	5	5	16	0	33	20	17	32	2	0	0.00%	6	1	83.33%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	20	10	21	9	17	8
8	Flames	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	0	2	1	0	39	2	17	20	0	30	10	8	14	2	0	0.00%	4	0	100.00%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	20	12	23	8	16	7
9	Golden Knights	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	4	3	1	2	1.000	4	6	10	0	0	1	2	0	1	31	8	13	9	1	39	9	6	26	6	2	33.33%	3	0	100.00%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	22	11	22	10	18	9
10	Islanders	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	3	6	0	0	0	0	2	2	34	9	12	10	7	36	13	10	18	7	2	28.57%	5	1	80.00%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	23	13	22	10	18	9
11	Jets	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	0	0	0	0	26	12	1	13	0	38	9	12	19	2	0	0.00%	6	1	83.33%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	22	12	20	8	17	8
12	Kings	1	0	0	0	0	0	1	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	2	1	1	2	1.000	2	1	3	0	0	0	1	0	1	25	11	6	7	4	28	13	12	27	4	0	0.00%	6	1	83.33%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	23	11	20	11	20	9
13	Maple Leafs	4	2	2	0	0	0	0	0	7	7	0	2	1	1	0	0	0	0	0	3	3	0	2	1	1	0	0	0	0	0	4	4	0	4	0.500	7	12	19	0	0	2	1	4	0	123	37	35	51	0	136	33	32	77	22	3	13.64%	16	4	75.00%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	86	46	80	37	72	36
14	Panthers	2	1	0	0	0	1	0	0	7	5	2	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	2	3	3	0.750	7	13	20	0	0	2	1	4	0	64	24	17	23	0	60	20	20	36	12	3	25.00%	10	2	80.00%	1	384	777	49.42%	429	819	52.38%	214	423	50.59%	47	27	39	18	35	16
15	Penguins	1	0	0	0	1	0	0	0	2	1	1	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	0	0	1	1	28	11	5	11	1	34	11	6	24	5	0	0.00%	3	0	100.00%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	24	13	18	8	18	10
16	Predateurs	1	0	0	0	0	0	1	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	2	1	1	2	1.000	2	2	4	0	0	0	0	1	1	33	14	6	13	3	30	10	6	20	5	0	0.00%	3	1	66.67%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	23	13	21	10	20	10
17	Senateurs	4	1	1	0	0	1	1	0	12	13	-1	1	1	0	0	0	0	0	0	3	2	1	3	0	1	0	0	1	1	0	9	11	-2	5	0.625	12	19	31	0	0	2	4	5	3	138	53	45	40	6	146	55	42	67	18	5	27.78%	21	6	71.43%	1	384	777	49.42%	429	819	52.38%	214	423	50.59%	83	49	96	36	68	33
18	Stars	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	0	1	0	32	10	15	7	0	40	17	8	21	3	0	0.00%	4	1	75.00%	0	384	777	49.42%	429	819	52.38%	214	423	50.59%	20	11	21	8	17	9
	Total	30	11	10	0	2	2	5	0	85	69	16	15	6	5	0	1	1	2	0	37	33	4	15	5	5	0	1	1	3	0	48	36	12	38	0.633	85	134	219	0	0	23	24	31	10	969	323	307	332	25	1004	332	286	566	131	24	18.32%	128	27	78.91%	2	384	777	49.42%	429	819	52.38%	214	423	50.59%	660	374	640	282	532	263
	_Since Last GM Reset	30	11	10	0	2	2	5	0	85	69	16	15	6	5	0	1	1	2	0	37	33	4	15	5	5	0	1	1	3	0	48	36	12	38	0.633	85	134	219	0	0	23	24	31	10	969	323	307	332	25	1004	332	286	566	131	24	18.32%	128	27	78.91%	2	384	777	49.42%	429	819	52.38%	214	423	50.59%	660	374	640	282	532	263
	_Vs Conference	21	8	7	0	1	2	3	0	60	50	10	11	4	3	0	1	1	2	0	27	23	4	10	4	4	0	0	1	1	0	33	27	6	26	0.619	60	95	155	0	0	18	15	23	7	682	236	222	219	17	708	224	177	380	97	19	19.59%	86	20	76.74%	2	384	777	49.42%	429	819	52.38%	214	423	50.59%	461	262	447	196	371	184
	_Vs Division	16	7	6	0	0	2	1	0	43	40	3	7	4	2	0	0	1	0	0	16	14	2	9	3	4	0	0	1	1	0	27	26	1	18	0.563	43	72	115	0	0	14	12	16	3	510	182	171	157	6	533	173	136	287	70	14	20.00%	68	17	75.00%	2	384	777	49.42%	429	819	52.38%	214	423	50.59%	347	195	339	149	282	138

			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
30	38	OTW1	85	134	219	969	1004	332	286	566	0	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	11	10	2	2	5	0	85	69

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	6	5	1	1	2	0	37	33

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	5	5	1	1	3	0	48	36

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	3	1	0	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
131	24	18.32%	128	27	78.91%	2

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
323	307	332	25	23	24	31	10

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
384	777	49.42%	429	819	52.38%	214	423	50.59%

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
660	374	640	282	532	263

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	Lien
1 - 2019-10-04	4	Bruins	1	Lightning	4	W			Sommaire du Match
3 - 2019-10-06	13	Lightning	3	Senateurs	5	L			Sommaire du Match
6 - 2019-10-09	31	Maple Leafs	1	Lightning	2	W			Sommaire du Match
9 - 2019-10-12	43	Lightning	0	Maple Leafs	1	L			Sommaire du Match
11 - 2019-10-14	55	Canadiens	4	Lightning	2	L			Sommaire du Match
15 - 2019-10-18	73	Lightning	1	Canadiens	2	L			Sommaire du Match
17 - 2019-10-20	84	Senateurs	2	Lightning	3	W			Sommaire du Match
18 - 2019-10-21	92	Lightning	2	Kings	1	W	X	X	Sommaire du Match
21 - 2019-10-24	107	Panthers	3	Lightning	2	L	X		Sommaire du Match
24 - 2019-10-27	118	Lightning	5	Panthers	2	W			Sommaire du Match
26 - 2019-10-29	132	Devils	2	Lightning	3	W	X	X	Sommaire du Match
28 - 2019-10-31	143	Lightning	1	Bruins	4	L			Sommaire du Match
29 - 2019-11-01	153	Penguins	1	Lightning	2	W	X		Sommaire du Match
32 - 2019-11-04	169	Lightning	7	Canadiens	3	W			Sommaire du Match
34 - 2019-11-06	178	Bruins	1	Lightning	2	W			Sommaire du Match
36 - 2019-11-08	190	Lightning	4	Senateurs	3	W	X	X	Sommaire du Match
39 - 2019-11-11	203	Ducks	6	Lightning	1	L			Sommaire du Match
41 - 2019-11-13	212	Lightning	2	Senateurs	3	L	X		Sommaire du Match
44 - 2019-11-16	222	Lightning	2	Predateurs	1	W	X	X	Sommaire du Match
46 - 2019-11-18	232	Stars	2	Lightning	1	L			Sommaire du Match
48 - 2019-11-20	247	Flames	1	Lightning	3	W			Sommaire du Match
49 - 2019-11-21	252	Lightning	7	Avalanche	2	W			Sommaire du Match
54 - 2019-11-26	274	Blue Jackets	4	Lightning	3	L			Sommaire du Match
56 - 2019-11-28	286	Lightning	6	Blue Jackets	1	W			Sommaire du Match
58 - 2019-11-30	297	Blues	1	Lightning	5	W			Sommaire du Match
62 - 2019-12-04	319	Maple Leafs	2	Lightning	1	L			Sommaire du Match
65 - 2019-12-07	335	Islanders	2	Lightning	3	W	X	X	Sommaire du Match
67 - 2019-12-09	346	Lightning	4	Maple Leafs	3	W			Sommaire du Match
69 - 2019-12-11	354	Lightning	0	Jets	2	L			Sommaire du Match
71 - 2019-12-13	362	Lightning	4	Golden Knights	3	W	X		Sommaire du Match
72 - 2019-12-14	371	Sharks	-	Lightning	-
76 - 2019-12-18	388	Blackhawks	-	Lightning	-
78 - 2019-12-20	403	Lightning	-	Sharks	-
80 - 2019-12-22	413	Lightning	-	Blackhawks	-
81 - 2019-12-23	419	Devils	-	Lightning	-
84 - 2019-12-26	436	Maple Leafs	-	Lightning	-
86 - 2019-12-28	443	Lightning	-	Kings	-
88 - 2019-12-30	454	Lightning	-	Maple Leafs	-
90 - 2020-01-01	465	Avalanche	-	Lightning	-
92 - 2020-01-03	479	Lightning	-	Blue Jackets	-
93 - 2020-01-04	488	Flyers	-	Lightning	-
96 - 2020-01-07	501	Lightning	-	Blues	-
98 - 2020-01-09	512	Islanders	-	Lightning	-
100 - 2020-01-11	527	Lightning	-	Ducks	-
102 - 2020-01-13	537	Blue Jackets	-	Lightning	-
104 - 2020-01-15	548	Lightning	-	Stars	-
106 - 2020-01-17	561	Capitals	-	Lightning	-
109 - 2020-01-20	573	Lightning	-	Devils	-
111 - 2020-01-22	584	Canadiens	-	Lightning	-
113 - 2020-01-24	592	Lightning	-	Devils	-
115 - 2020-01-26	608	Lightning	-	Flames	-
117 - 2020-01-28	616	Capitals	-	Lightning	-
120 - 2020-01-31	633	Senateurs	-	Lightning	-
122 - 2020-02-02	647	Lightning	-	Flyers	-
124 - 2020-02-04	657	Golden Knights	-	Lightning	-
126 - 2020-02-06	670	Lightning	-	Flyers	-
128 - 2020-02-08	678	Lightning	-	Kings	-
130 - 2020-02-10	686	Jets	-	Lightning	-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
134 - 2020-02-14	704	Flyers	-	Lightning	-
137 - 2020-02-17	724	Senateurs	-	Lightning	-
141 - 2020-02-21	745	Lightning	-	Canadiens	-
142 - 2020-02-22	749	Penguins	-	Lightning	-
147 - 2020-02-27	772	Predateurs	-	Lightning	-
149 - 2020-02-29	784	Lightning	-	Panthers	-
150 - 2020-03-01	794	Blues	-	Lightning	-
155 - 2020-03-06	817	Kings	-	Lightning	-
156 - 2020-03-07	825	Lightning	-	Bruins	-
160 - 2020-03-11	842	Canadiens	-	Lightning	-
161 - 2020-03-12	849	Lightning	-	Panthers	-
164 - 2020-03-15	865	Panthers	-	Lightning	-
167 - 2020-03-18	878	Lightning	-	Islanders	-
169 - 2020-03-20	889	Kings	-	Lightning	-
171 - 2020-03-22	902	Lightning	-	Islanders	-
173 - 2020-03-24	914	Bruins	-	Lightning	-
174 - 2020-03-25	917	Lightning	-	Penguins	-
178 - 2020-03-29	937	Oilers	-	Lightning	-
180 - 2020-03-31	946	Lightning	-	Capitals	-
182 - 2020-04-02	951	Lightning	-	Oilers	-
184 - 2020-04-04	961	Panthers	-	Lightning	-
185 - 2020-04-05	965	Lightning	-	Penguins	-
186 - 2020-04-06	975	Lightning	-	Capitals	-
187 - 2020-04-07	979	Lightning	-	Bruins	-

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	100	60	35	25	200
Assistance	86,560	72,644	28,754	57,467	14,507
Attendance PCT	96.18%	96.86%	95.85%	95.78%	96.71%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
26	17329 - 96.27%	1,664,559$	24,968,382$	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
34,320,789$	87,681,319$	88,097,985$	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
87,681,319$	32,912,007$	0$	23	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
43,278,529$	118	483,764$	57,084,152$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
57,613,472$	87,681,319$	-19,193,386$	-33,528,329$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Taylor Hall	AGE:25	PO:76	OV:84
Matthew Tkachuk	AGE:19	PO:88	OV:80
Kyle Connor	AGE:20	PO:82	OV:80
Andrei Svechnikov	AGE:17	PO:93	OV:73
Gabriel Bourque	AGE:27	PO:52	OV:71
Anders Bjork	AGE:21	PO:55	OV:62

Bo Horvat	AGE:22	PO:82	OV:80
Mikko Koivu	AGE:34	PO:42	OV:76
Sam Steel	AGE:19	PO:78	OV:71
Nate Thompson	AGE:32	PO:25	OV:69

Blake Wheeler	AGE:31	PO:52	OV:86
Viktor Arvidsson	AGE:24	PO:58	OV:83
Phil Kessel	AGE:29	PO:54	OV:82
Matthew Tkachuk	AGE:19	PO:88	OV:80
Patrik Laine	AGE:19	PO:91	OV:78
Andrei Svechnikov	AGE:17	PO:93	OV:73
Gabriel Bourque	AGE:27	PO:52	OV:71
Brett Ritchie	AGE:24	PO:70	OV:64
Anders Bjork	AGE:21	PO:55	OV:62

Défense #1

Défense #2

Gardien

Zdeno Chara	AGE:40	PO:25	OV:80
Mattias Ekholm	AGE:27	PO:53	OV:79
Jake Gardiner	AGE:27	PO:67	OV:77
Duncan Keith	AGE:34	PO:34	OV:77

Adam Pelech	AGE:23	PO:64	OV:75
Vince Dunn	AGE:20	PO:69	OV:74
Mark Barberio	AGE:27	PO:40	OV:66

Robin Lehner	AGE:26	PO:61	OV:89
Laurent Brossoit	AGE:24	PO:47	OV:81
Anthony Stolarz	AGE:23	PO:72	OV:76
Zane McIntyre	AGE:25	PO:46	OV:74
Jon Gillies	AGE:23	PO:51	OV:72

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 Olles-Mattsson	Lightning
Alec Regula	Lightning	2018	76
Andrei Mironov	Lightning
Hunter Jones	Lightning	3	105
Kirill Kaprisov	Lightning	2015	135

Choix au Repêchage

Année	R1	R2	R3	R4	R5
4				TB.	FLA TB.
5				FLA TB.	TOR FLA TB.
6			TB.	TB.	TB.
7	TB.			TB.	TB.
8	TB.	TB.	TB.	TB.	TB.

[2019-11-30 20:00:50] - New Record for Team's Most Penalties Minutes (34) in 1 Game for Lightning!
[2019-11-21 21:41:29] - New Record for Team's Most Points (20) in 1 Game for Lightning!
[2019-11-21 21:41:29] - New Record for Team's Most Assists (13) in 1 Game for Lightning!
[2019-11-08 19:28:20] - New Record for Team's Most Shots Blocked (26) in 1 Game for Lightning!
[2019-11-08 19:28:20] - New Record for Team's Most Shots Blocked (26) in 1 Game for Lightning!
[2019-11-04 20:24:50] - New Record for Team's Most Points (18) in 1 Game for Lightning!
[2019-11-04 20:24:50] - New Record for Team's Most Assists (11) in 1 Game for Lightning!
[2019-11-04 20:24:50] - New Record for Team's Most Goals (7) in 1 Game for Lightning!
[2019-09-30 22:52:56] - Nate Thompson was added to Lightning.
[2019-09-30 22:36:14] - Crunch hired Todd Reirden for 500 000 $ for 2 year(s).
[2019-09-30 12:48:52] - Crunch hired Bill Peters for 500 000 $ for 2 year(s).
[2019-09-18 19:29:35] - TRADE : From Lightning to Avalanche : Michael Amadio (71), Robert Hagg (74), Sam Montembeault (76).
[2019-09-18 19:29:35] - TRADE : From Avalanche to Lightning : Blake Wheeler (85).
[2019-09-16 21:53:25] - Semyon Varlamov was released.
[2019-09-16 21:53:25] - Brian Elliott was released.
[2019-09-16 21:53:25] - Brad Hunt was released.
[2019-09-08 18:28:18] - Tyler Bozak was released.
[2019-09-08 18:28:18] - Lightning paid 0 $ to release Tyler Bozak.
[2019-08-26 22:49:18] - Lightning drafts Hunter Jones as the #105 overall pick in the Entry Draft of year 3.
[2019-07-05 00:13:32] - TRADE : From Lightning to Senateurs : Christian Djoos (63).
[2019-07-05 00:13:32] - TRADE : From Senateurs to Lightning : Zdeno Chara (80).
[2019-07-03 20:32:33] - TRADE : From Lightning to Panthers : Esa Lindell (78), Sebastien Aho (64), Y:6-RND:1-TB., Y:7-RND:2-TB., Y:7-RND:3-TB..
[2019-07-03 20:32:33] - TRADE : From Panthers to Lightning : Bo Horvat (80), Tyler Bozak (73), Alec Regula (P), Y:5-RND:4-FLA.
[2019-07-01 21:33:17] - TRADE : From Lightning to Senateurs : John Moore (73), Damon Severson (75), Y:5-RND:2-TB., Y:5-RND:3-TB., Y:6-RND:2-TB..
[2019-07-01 21:33:17] - TRADE : From Senateurs to Lightning : Phil Kessel (82).
[2019-07-01 15:25:14] - TRADE : From Lightning to Senateurs : Y:3-RND:2-TOR, Y:4-RND:2-TB..
[2019-07-01 15:25:14] - TRADE : From Senateurs to Lightning : Jake Gardiner (77).
[2019-06-21 22:15:26] - Sebastien Aho was added to Lightning.
[2019-06-21 22:15:14] - Anthony Stolarz was added to Lightning.
[2019-06-21 22:15:07] - Sam Montembeault was added to Lightning.
[2019-06-21 22:14:51] - Anthony Stolarz has been deleted from Lightning.
[2019-06-21 22:14:47] - Sebastian D Aho has been deleted from Lightning.
[2019-06-21 22:14:44] - Samuel Montembeault has been deleted from Lightning.
[2019-06-01 22:16:46] - Sam Steel was added to Lightning.
[2019-06-01 22:16:17] - Sam Steel has been deleted from Lightning.
[2019-05-28 22:09:12] - Andrei Svechnikov has been deleted from Lightning.
[2019-05-28 22:08:55] - Andrei Svechnikov was added to Lightning.
[2019-05-28 20:47:26] - TRADE : From Lightning to Oilers : Dion Phaneuf (73), Jake DeBrusk (78), Alexandre Texier (P), Kale Clague (P), Y:5-RND:1-TB., Y:4-RND:3-TB..
[2019-05-28 20:47:26] - TRADE : From Oilers to Lightning : Mattias Ekholm (79), Vince Dunn (71).
[2019-05-28 14:12:40] - TRADE : From Panthers to Lightning : Y:4-RND:5-FLA.
[2019-05-28 14:12:40] - TRADE : From Lightning to Panthers : Mathieu Perreault (74).
[2019-05-27 20:01:20] - TRADE : From Lightning to Blue Jackets : Phillip Danault (72).
[2019-05-27 20:01:20] - TRADE : From Blue Jackets to Lightning : Robin Lehner (81).
[2019-05-27 12:41:50] - TRADE : From Flyers to Lightning : Esa Lindell (72).
[2019-05-27 12:41:50] - TRADE : From Lightning to Flyers : Y:4-RND:1-TB..
[2019-05-27 10:36:41] - TRADE : From Lightning to Panthers : Bo Horvat (80), Rickard Rakell (84), Victor Rask (67), Stephen Johns (74), Mickael Dipietro (P), Dillon Dube (P), Y:5-RND:2-EDM.
[2019-05-27 10:36:41] - TRADE : From Panthers to Lightning : Taylor Hall (89), Christian Djoos (67), Andrei Svechnikov (P), Kale Clague (P), Y:5-RND:5-FLA.
[2019-05-26 21:53:43] - Scott Arniel contract with Crunch has ended.
[2019-05-07 20:57:53] - Crunch was eliminated at round 2 of year 2.
[2019-04-22 21:36:24] - Lightning was eliminated at round 1 of year 2.
[2019-02-15 21:06:43] - New Record for Team's Most Shots (48) in 1 Game for Lightning!

[2019-12-13 20:56:03] Current fund for Lightning is under 0 $.
[2019-12-13 20:55:21] Both Lightning and Crunch lines for next game are empty. Current rosters/lines are not erased.
[2019-12-12 18:18:48] Current fund for Lightning is under 0 $.
[2019-12-11 19:33:16] Current fund for Lightning is under 0 $.
[2019-12-11 19:32:51] Both Lightning and Crunch lines for next game are empty. Current rosters/lines are not erased.
[2019-12-09 21:39:48] Current fund for Lightning is under 0 $.
[2019-12-09 21:39:25] Both Lightning and Crunch lines for next game are empty. Current rosters/lines are not erased.
[2019-12-09 00:20:09] Current fund for Lightning is under 0 $.
[2019-12-07 20:07:18] Both Lightning and Crunch lines for next game are empty. Current rosters/lines are not erased.
[2019-12-06 22:54:05] Current fund for Lightning is under 0 $.
[2019-12-05 11:57:52] Current fund for Lightning is under 0 $.
[2019-12-05 11:57:29] Crunch lines for next game are empty. Current rosters/lines are not erased.
[2019-12-04 13:04:07] Current fund for Lightning is under 0 $.
[2019-12-04 13:03:40] Lightning lines for next game are empty. Current rosters/lines are not erased.
[2019-12-03 20:35:50] Current fund for Lightning is under 0 $.
[2019-12-02 11:46:45] Current fund for Lightning is under 0 $.
[2019-12-02 11:46:25] Crunch lines for next game are empty. Current rosters/lines are not erased.
[2019-12-02 11:46:25] Last 30 Days Pro Star : 1 - Connor Hellebuyck of Blues (0,938) / 2 - Tuukka Rask of Ducks (0,942) / 3 - Taylor Hall of Lightning (8-13-21)
[2019-12-01 18:48:11] Current fund for Lightning is under 0 $.
[2019-11-30 20:01:40] Current fund for Lightning is under 0 $.
[2019-11-30 20:00:51] Both Lightning and Crunch lines for next game are empty. Current rosters/lines are not erased.
[2019-11-30 20:00:50] New Record for Team's Most Penalties Minutes (34) in 1 Game for Lightning!
[2019-11-29 14:08:27] Current fund for Lightning is under 0 $.

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
3	30	11	10	0	2	2	5	0	85	69	16	15	6	5	0	1	1	2	0	37	33	4	15	5	5	0	1	1	3	0	48	36	12	38	85	134	219	0	0	23	24	31	10	969	323	307	332	25	1004	332	286	566	131	24	18.32%	128	27	78.91%	2	384	777	49.42%	429	819	52.38%	214	423	50.59%	660	374	640	282	532	263
Total Saison Régulière	30	11	10	0	2	2	5	0	85	69	16	15	6	5	0	1	1	2	0	37	33	4	15	5	5	0	1	1	3	0	48	36	12	38	85	134	219	0	0	23	24	31	10	969	323	307	332	25	1004	332	286	566	131	24	18.32%	128	27	78.91%	2	384	777	49.42%	429	819	52.38%	214	423	50.59%	660	374	640	282	532	263
Séries
2	7	3	4	0	0	0	0	0	21	21	0	3	1	2	0	0	0	0	0	12	12	0	4	2	2	0	0	0	0	0	9	9	0	6	21	29	50	0	0	9	5	5	2	247	74	88	66	19	254	66	72	142	21	2	9.52%	36	9	75.00%	1	70	170	41.18%	99	189	52.38%	52	117	44.44%	146	80	155	71	134	64
Total Séries	7	3	4	0	0	0	0	0	21	21	0	3	1	2	0	0	0	0	0	12	12	0	4	2	2	0	0	0	0	0	9	9	0	6	21	29	50	0	0	9	5	5	2	247	74	88	66	19	254	66	72	142	21	2	9.52%	36	9	75.00%	1	70	170	41.18%	99	189	52.38%	52	117	44.44%	146	80	155	71	134	64