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

Centre de jeu
	Tampa Bay Lightning 2-4-0, 4pts	2	FINAL	6	Detroit Red Wings 10-9-0, 20pts

Team Stats
L2	Séquence	L1
2-1-0	Fiche domicile	6-3-0
0-3-0	Fiche visiteur	4-6-0
2-4-0	Derniers 10 matchs	6-3-1
3.33	Buts par match	3.53
4.33	Buts contre par match	3.11
15.79%	Pourcentage en avantage numérique	24.44%
52.00%	Pourcentage en désavantage numérique	75.47%

Detroit Red Wings
10-9-0, 20pts

FINAL

Tampa Bay Lightning
2-4-0, 4pts

Team Stats
L1	Séquence	L2
6-3-0	Fiche domicile	2-1-0
4-6-0	Fiche visiteur	0-3-0
6-3-1	Derniers 10 matchs	2-4-0
3.53	Buts par match	3.33
3.11	Buts contre par match	4.33
24.44%	Pourcentage en avantage numérique	15.79%
75.47%	Pourcentage en désavantage numérique	52.00%

Meneurs d'équipe
	Buts Nikita Kucherov 4	Passes Erik Cernak 5

	Points Nikita Kucherov 8	Plus/Moins Anthony Cirelli 4

	Victoires Andrei Vasilevskiy 2	Pourcentage d’arrêts Andrei Vasilevskiy 0.884

Statistiques d’équipe
Buts pour 20 3.33 GFG	Tirs pour 222 37.00 Avg	Pourcentage en avantage numérique 15.8% 3 GF	Début de zone offensive 40.1%
Buts contre 26 4.33 GAA	Tirs contre 224 37.33 Avg	Pourcentage en désavantage numérique 52.0%% 12 GA	Début de la zone défensive 43.4%

Informations de l'équipe
	Directeur général	Martin
	Entraîneur	Jon Cooper
	Division	Atlantic
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	St. Pete Times Forum
	Capacité	18,000
	Assistance	18,000
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	25
	Limite contact	45 / 70
	Espoirs	17
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	83,500,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	3,810,000$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	45,413,640$
	Compte bancaire projeté	45,413,640$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Nikita Kucherov	0		X	X		100.00	70	40	81	82	71	84	80	90	53	96	78	64	58	74	63	0	49	80	0	31	4	9,240,000$
2	Brayden Point	0	X				100.00	67	66	93	90	71	83	90	81	78	82	85	65	70	69	59	0	53	79	0	28	4	7,125,000$
3	Steven Stamkos	0	X				100.00	71	40	79	76	71	81	91	83	82	87	80	70	74	86	92	0	49	79	0	34	3	6,552,000$
4	Brandon Hagel	0		X	X		100.00	74	47	80	75	66	79	92	72	50	77	76	71	54	60	58	0	49	74	0	26	1	4,600,000$
5	Anthony Cirelli	0	X				100.00	73	65	84	75	74	76	86	68	78	77	68	78	54	65	59	0	49	73	0	27	4	3,750,000$
6	Nicholas Paul	0		X	X		100.00	74	65	85	75	88	74	86	65	81	72	68	74	54	64	59	0	49	72	0	29	4	3,250,000$
7	Conor Sheary	0		X	X		100.00	69	40	87	74	73	73	91	67	60	75	68	69	57	70	59	0	49	71	0	32	1	775,000$
8	Tanner Jeannot	0		X	X		100.00	94	84	78	68	81	71	89	63	56	71	65	73	54	59	58	0	49	70	0	27	4	2,450,000$
9	Tyler Motte	0	X	X	X		100.00	80	40	91	64	78	66	80	61	60	72	64	75	54	64	59	0	49	69	0	29	1	2,150,000$
10	Austin Watson	0		X	X		100.00	79	83	81	61	76	61	87	59	55	67	64	79	54	69	59	0	49	67	0	32	1	775,000$
11	Luke Glendening	0	X				100.00	74	65	87	64	76	66	92	57	89	67	61	77	54	76	66	0	49	67	0	35	1	775,000$
12	Michael Eyssimont	0	X				100.00	72	65	69	69	68	64	68	61	56	69	61	69	56	58	58	0	49	65	0	28	2	2,150,000$
13	Victor Hedman	0				X	100.00	68	40	81	89	93	93	92	74	40	85	66	78	60	85	70	0	49	79	0	34	2	5,557,500$
14	Mikhail Sergachev	0				X	100.00	74	65	77	89	87	92	94	72	40	83	62	83	58	68	59	0	49	78	0	26	1	5,500,000$
15	Erik Cernak	0				X	100.00	84	65	78	69	89	82	86	60	40	73	59	89	54	63	59	0	49	73	0	27	6	2,700,000$
16	Calvin De Haan	0				X	100.00	72	47	82	62	75	72	82	58	40	71	59	83	54	72	59	0	49	69	0	33	2	1,850,000$
17	Haydn Fleury	0				X	100.00	69	48	90	67	79	68	69	54	40	67	56	84	54	62	58	0	52	67	0	28	1	775,000$
18	Nick Perbix	0				X	100.00	62	44	79	70	72	67	69	59	40	68	59	74	54	57	57	0	49	66	0	26	1	1,400,000$
Rayé
Équipe Mineure
1	Alex Barre-Boulet	0	X				100.00	55	61	64	66	59	66	65	67	60	65	62	65	54	62	57	0	49	64	0	27	1	775,000$
2	Gabriel Dumont	0	X				100.00	56	59	64	61	58	66	64	61	60	58	62	60	54	74	64	0	48	61	0	34	1	775,000$
3	Cole Koepke	0		X	X		100.00	60	54	70	61	66	64	62	57	54	58	58	62	54	59	56	0	48	60	0	26	1	775,000$
4	Daniel Walcott	0	X	X	X		100.00	57	55	61	59	59	67	66	58	55	57	58	63	54	67	60	0	48	60	0	30	1	775,000$
5	Felix Robert	0	X				100.00	55	56	66	60	54	65	63	60	70	57	60	62	54	58	55	0	48	60	0	25	1	775,000$
6	Gabriel Fortier	0		X	X		100.00	55	55	66	60	59	67	65	59	70	57	58	63	54	56	54	0	48	60	0	24	1	775,000$
7	Gage Goncalves	0	X				100.00	55	59	66	59	58	68	66	61	70	61	59	62	63	55	53	0	48	60	0	23	1	775,000$
8	Ethan Gauthier (R)	0		X	X		100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	49	60	0	19	1	775,000$
9	Mitchell Chaffee	0		X	X		100.00	55	56	67	58	65	58	58	56	55	55	58	62	54	60	56	0	48	58	0	26	1	775,000$
10	Shawn Element	0	X				100.00	57	56	63	57	63	62	62	56	70	56	56	60	54	56	54	0	48	58	0	24	1	775,000$
11	Jack Finley	0	X				100.00	55	55	61	57	67	63	62	56	65	55	58	59	54	54	53	0	48	58	0	22	1	775,000$
12	Jaydon Dureau	0	X	X	X		100.00	54	54	68	55	58	55	55	54	55	54	54	61	56	55	53	0	48	56	0	23	1	775,000$
13	Philippe Myers	0				X	100.00	64	48	70	62	75	66	66	57	40	63	57	70	54	61	57	0	48	63	0	27	1	775,000$
14	Darren Raddysh	0				X	100.00	57	53	69	61	67	66	62	60	40	62	58	67	54	62	58	0	48	62	0	28	2	1,950,000$
15	Declan Carlile	0				X	100.00	55	56	66	57	64	64	62	57	40	56	56	65	54	56	54	0	48	59	0	24	1	775,000$
16	Sean Day	0				X	100.00	55	54	65	59	70	66	64	57	40	58	55	61	54	60	56	0	48	59	0	26	1	775,000$
17	Devante Stephens	0				X	100.00	56	54	64	56	65	64	63	55	40	55	55	62	54	62	57	0	48	58	0	27	1	775,000$
18	Jack Thompson	0				X	100.00	54	55	63	59	60	64	62	57	44	56	56	58	54	54	53	0	48	58	0	22	1	775,000$
19	Lucas Edmonds	0		X	X		100.00	51	52	64	54	59	60	59	55	52	53	57	59	59	52	50	0	26	56	0	23	1	775,000$
20	Joe Carroll	0	X	X	X		100.00	55	55	64	55	62	55	55	55	55	54	55	58	54	55	53	0	26	56	0	23	1	775,000$
21	Bennett Macarthur	0	X	X	X		100.00	52	51	65	51	61	52	52	51	52	51	51	56	51	52	50	0	26	53	0	23	1	775,000$
22	Max Crozier	0				X	100.00	52	51	65	52	59	53	52	51	38	52	51	57	51	54	51	0	26	53	0	24	1	775,000$

	MOYENNE D’ÉQUIPE						100.00	64	55	73	65	69	68	72	62	56	65	61	68	56	63	58	0	46	65

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Andrei Vasilevskiy	0	100.00	87	97	97	87	85	79	90	83	90	80	90	75	82	0	49	87	0	30	1	775,000$
2	Jonas Johansson	0	100.00	61	60	61	81	67	62	65	61	64	62	63	63	57	0	54	64	0	29	2	1,600,000$
Rayé
Équipe Mineure
1	Hugo Alnefelt	0	100.00	60	62	62	69	66	59	66	61	58	59	59	54	51	0	36	62	0	23	1	775,000$
2	Evan Fitzpatrick	0	100.00	54	54	54	69	64	54	66	54	58	55	65	60	55	0	51	58	0	26	1	775,000$
3	Matt Tomkins	0	100.00	51	51	51	51	51	51	51	51	51	51	51	51	51	0	33	51	0	30	2	1,525,000$

	MOYENNE D’ÉQUIPE		100.00	63	65	65	71	67	61	68	62	64	61	66	61	59	0	45	64

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jon Cooper	84	91	90	76	82	76	67	CAN	55	7	1,000,000$

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	PKS	PKM	GW	GT	FO%	FOT	P/20	FW	S1	S2	S3
1	Nikita Kucherov	Tampa Bay Lightning	LW/RW	6	4	4	8	1	8	0	7	10	28	4	15	14.29%	1	139	23.22	2	0	2	5	17	0	15	0	0	31.43%	35	1.15	0	1	0	1
2	Erik Cernak	Tampa Bay Lightning	D	6	2	5	7	3	12	0	17	8	14	3	7	14.29%	6	121	20.28	0	1	1	5	14	0	11	1	0	0%	0	1.15	0	0	1	0
3	Brayden Point	Tampa Bay Lightning	C	6	3	3	6	0	2	0	5	27	24	9	10	12.50%	1	114	19.13	0	1	1	1	17	2	18	0	1	51.66%	151	1.05	0	1	0	0
4	Anthony Cirelli	Tampa Bay Lightning	C	6	1	4	5	4	0	0	2	16	11	6	17	9.09%	4	67	11.33	0	0	0	0	2	0	0	0	0	54.22%	83	1.47	0	0	0	0
5	Brandon Hagel	Tampa Bay Lightning	LW/RW	6	2	3	5	3	0	0	9	5	18	2	14	11.11%	1	139	23.24	0	0	0	5	15	0	16	0	0	29.17%	24	0.72	0	0	0	0
6	Mikhail Sergachev	Tampa Bay Lightning	D	6	1	4	5	0	2	0	15	11	10	4	9	10.00%	11	159	26.66	0	1	1	3	18	0	18	0	0	0%	0	0.63	0	0	0	0
7	Steven Stamkos	Tampa Bay Lightning	C	6	3	2	5	0	2	0	9	14	18	6	14	16.67%	3	142	23.74	0	1	1	0	17	0	16	0	1	53.01%	166	0.70	0	0	1	0
8	Calvin De Haan	Tampa Bay Lightning	D	6	1	2	3	3	6	0	2	6	8	5	4	12.50%	2	122	20.48	1	0	1	1	14	1	15	1	0	0%	0	0.49	0	0	0	0
9	Victor Hedman	Tampa Bay Lightning	D	6	0	3	3	0	2	0	9	10	11	9	9	0%	10	159	26.60	0	1	1	7	18	0	17	0	0	0%	0	0.38	0	0	0	0
10	Conor Sheary	Tampa Bay Lightning	LW/RW	6	1	1	2	-2	0	0	4	6	20	3	11	5.00%	0	94	15.70	0	0	0	6	16	0	0	0	0	42.86%	7	0.42	0	0	0	0
11	Nicholas Paul	Tampa Bay Lightning	LW/RW	6	0	2	2	-2	2	0	10	4	14	4	11	0%	0	94	15.70	0	0	0	3	16	0	0	0	0	60.00%	10	0.42	0	0	0	0
12	Tanner Jeannot	Tampa Bay Lightning	LW/RW	6	1	1	2	4	4	0	12	6	13	5	8	7.69%	0	69	11.57	0	0	0	0	0	0	4	0	0	33.33%	12	0.58	0	0	0	0
13	Tyler Motte	Tampa Bay Lightning	C/LW/RW	6	1	1	2	4	0	0	2	3	14	2	8	7.14%	0	64	10.78	0	0	0	0	0	0	0	0	0	33.33%	3	0.62	0	0	0	0
14	Haydn Fleury	Tampa Bay Lightning	D	6	0	1	1	0	9	5	4	4	8	2	2	0%	5	73	12.31	0	0	0	0	2	0	2	0	0	0%	0	0.27	1	0	0	0
15	Austin Watson	Tampa Bay Lightning	LW/RW	6	0	0	0	-2	0	0	8	2	5	0	3	0%	0	37	6.19	0	0	0	0	0	0	1	0	0	50.00%	2	0	0	0	0	0
16	Luke Glendening	Tampa Bay Lightning	C	6	0	0	0	-2	0	0	4	1	1	0	1	0%	0	35	5.89	0	0	0	0	0	0	0	0	0	46.51%	43	0	0	0	0	0
17	Michael Eyssimont	Tampa Bay Lightning	C	6	0	0	0	-1	0	0	4	1	4	0	3	0%	0	39	6.64	0	0	0	0	3	0	0	0	0	50.00%	10	0	0	0	0	0
18	Nick Perbix	Tampa Bay Lightning	D	6	0	0	0	0	10	0	3	4	1	0	4	0%	6	80	13.46	0	0	0	0	1	0	9	0	0	0%	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				108	20	36	56	13	59	5	126	138	222	64	150	9.01%	50	1757	16.27	3	5	8	36	176	3	146	2	2	49.27%	546	0.64	1	2	2	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Andrei Vasilevskiy	Tampa Bay Lightning	6	2	4	0	0.884	4.35	359	0	0	26	224	0	0	0	0	0	6	0	0	0	0
Statistiques d’équipe totales ou en moyenne			6	2	4	0	0.884	4.35	359	0	0	26	224	0	0	0		0	6	0	0	0	0

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	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire moyen	Plafond salarial Non Activé	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Salaire annuel 5	Salaire annuel 6	Salaire annuel 7	Salaire annuel 8	Salaire annuel 9	Salaire annuel 10	Non-échange Année 2	Non-échange Année 3	Non-échange Année 4	Non-échange Année 5	Non-échange Année 6	Non-échange Année 7	Non-échange Année 8	Non-échange Année 9	Non-échange Année 10	Lien
Andrei Vasilevskiy	Tampa Bay Lightning	G	30	25.07.1994	No	100 Kg	193 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Anthony Cirelli	Tampa Bay Lightning	C	27	15.07.1997	No	86 Kg	183 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	0$	No	3,750,000$	3,750,000$	3,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Austin Watson	Tampa Bay Lightning	LW/RW	32	13.01.1992	No	93 Kg	193 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Brandon Hagel	Tampa Bay Lightning	LW/RW	26	27.08.1998	No	81 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	4,600,000$	4,600,000$	4,600,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Brayden Point	Tampa Bay Lightning	C	28	13.03.1996	No	82 Kg	180 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	7,125,000$	7,125,000$	7,125,000$	0$	No	7,125,000$	7,125,000$	7,125,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Calvin De Haan	Tampa Bay Lightning	D	33	09.05.1991	No	89 Kg	185 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	1,850,000$	1,850,000$	1,850,000$	0$	No	1,850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Conor Sheary	Tampa Bay Lightning	LW/RW	32	08.06.1992	No	81 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Erik Cernak	Tampa Bay Lightning	D	27	28.05.1997	No	102 Kg	193 CM	No	No	N/A	No	No	6	False	False	Pro & Farm	2,700,000$	2,700,000$	2,700,000$	0$	No	2,700,000$	2,700,000$	2,700,000$	2,700,000$	2,700,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Lien / Lien NHL
Haydn Fleury	Tampa Bay Lightning	D	28	08.07.1996	No	95 Kg	193 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Jonas Johansson	Tampa Bay Lightning	G	29	19.09.1995	No	100 Kg	196 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	1,600,000$	1,600,000$	1,600,000$	0$	No	1,600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Luke Glendening	Tampa Bay Lightning	C	35	28.04.1989	No	86 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Michael Eyssimont	Tampa Bay Lightning	C	28	09.09.1996	No	82 Kg	183 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	2,150,000$	2,150,000$	2,150,000$	0$	No	2,150,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Mikhail Sergachev	Tampa Bay Lightning	D	26	25.06.1998	No	99 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Nicholas Paul	Tampa Bay Lightning	LW/RW	29	20.03.1995	No	101 Kg	191 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	0$	No	3,250,000$	3,250,000$	3,250,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Nick Perbix	Tampa Bay Lightning	D	26	15.06.1998	No	87 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	1,400,000$	1,400,000$	1,400,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Nikita Kucherov	Tampa Bay Lightning	LW/RW	31	17.06.1993	No	82 Kg	180 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	9,240,000$	9,240,000$	9,240,000$	0$	No	9,240,000$	9,240,000$	9,240,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Steven Stamkos	Tampa Bay Lightning	C	34	07.02.1990	No	83 Kg	183 CM	No	No	N/A	No	No	3	False	False	Pro & Farm	6,552,000$	6,552,000$	6,552,000$	0$	No	6,552,000$	6,552,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien / Lien NHL
Tanner Jeannot	Tampa Bay Lightning	LW/RW	27	29.05.1997	No	95 Kg	188 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	2,450,000$	2,450,000$	2,450,000$	0$	No	2,450,000$	2,450,000$	2,450,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Tyler Motte	Tampa Bay Lightning	C/LW/RW	29	10.03.1995	No	87 Kg	178 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	2,150,000$	2,150,000$	2,150,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Victor Hedman	Tampa Bay Lightning	D	34	18.12.1990	No	111 Kg	201 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	5,557,500$	5,557,500$	5,557,500$	0$	No	5,557,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	29.55	91 Kg	188 CM	2.30	3,187,475$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
63,749,500$	46,224,500$	35,067,000$	28,515,000$	2,700,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nikita Kucherov	Steven Stamkos	Brandon Hagel	42	0	2	3
2	Nicholas Paul	Brayden Point	Conor Sheary	29	1	1	3
3	Tanner Jeannot	Anthony Cirelli	Tyler Motte	21	1	3	1
4	Austin Watson	Luke Glendening	Michael Eyssimont	8	2	2	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Hedman	Mikhail Sergachev	47	0	3	2
2	Erik Cernak	Calvin De Haan	33	1	2	2
3	Haydn Fleury	Nick Perbix	20	1	2	2
4	Victor Hedman	Mikhail Sergachev	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nikita Kucherov	Steven Stamkos	Brayden Point	60	1	1	3
2	Nicholas Paul	Brandon Hagel	Conor Sheary	40	1	1	3

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Hedman	Mikhail Sergachev	60	1	1	3
2	Erik Cernak	Calvin De Haan	40	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nikita Kucherov	Steven Stamkos	50	1	2	2
2	Brayden Point	Brandon Hagel	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Hedman	Mikhail Sergachev	50	1	2	2
2	Erik Cernak	Calvin De Haan	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Nikita Kucherov	50	1	2	2	Victor Hedman	Mikhail Sergachev	50	1	2	2
2	Steven Stamkos	50	1	2	2	Erik Cernak	Calvin De Haan	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nikita Kucherov	Steven Stamkos	50	1	2	2
2	Brayden Point	Brandon Hagel	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Victor Hedman	Mikhail Sergachev	50	1	2	2
2	Erik Cernak	Calvin De Haan	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nikita Kucherov	Steven Stamkos	Brandon Hagel	Victor Hedman	Mikhail Sergachev

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nikita Kucherov	Steven Stamkos	Brandon Hagel	Victor Hedman	Mikhail Sergachev

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Michael Eyssimont, Anthony Cirelli, Tanner Jeannot	Michael Eyssimont, Anthony Cirelli	Tanner Jeannot

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Haydn Fleury, Nick Perbix, Erik Cernak	Haydn Fleury	Nick Perbix, Erik Cernak

Tirs de pénalité
Nikita Kucherov, Steven Stamkos, Brayden Point, Brandon Hagel, Anthony Cirelli

Gardien
#1 : Andrei Vasilevskiy, #2 : Jonas Johansson

Lignes d’attaque personnalisées en prolongation
Nikita Kucherov, Steven Stamkos, Brayden Point, Brandon Hagel, Anthony Cirelli, Nicholas Paul, Nicholas Paul, Conor Sheary, Tanner Jeannot, Tyler Motte, Austin Watson

Lignes de défense personnalisées en prolongation
Victor Hedman, Mikhail Sergachev, Erik Cernak, Calvin De Haan, Haydn Fleury

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Detroit Red Wings	6	2	4	0	0	0	0	0	20	26	-6	3	2	1	0	0	0	0	0	12	11	1	3	0	3	0	0	0	0	0	8	15	-7	4	0.333	20	36	56	0	0	4	9	7	0	222	72	68	82	0	224	50	59	126	19	3	15.79%	25	12	52.00%	0	100	219	45.66%	123	237	51.90%	46	90	51.11%	140	96	143	44	75	38
	Total	6	2	4	0	0	0	0	0	20	26	-6	3	2	1	0	0	0	0	0	12	11	1	3	0	3	0	0	0	0	0	8	15	-7	4	0.333	20	36	56	0	0	4	9	7	0	222	72	68	82	0	224	50	59	126	19	3	15.79%	25	12	52.00%	0	100	219	45.66%	123	237	51.90%	46	90	51.11%	140	96	143	44	75	38
	_Since Last GM Reset	6	2	4	0	0	0	0	0	20	26	-6	3	2	1	0	0	0	0	0	12	11	1	3	0	3	0	0	0	0	0	8	15	-7	4	0.333	20	36	56	0	0	4	9	7	0	222	72	68	82	0	224	50	59	126	19	3	15.79%	25	12	52.00%	0	100	219	45.66%	123	237	51.90%	46	90	51.11%	140	96	143	44	75	38
	_Vs Conference	6	2	4	0	0	0	0	0	20	26	-6	3	2	1	0	0	0	0	0	12	11	1	3	0	3	0	0	0	0	0	8	15	-7	4	0.333	20	36	56	0	0	4	9	7	0	222	72	68	82	0	224	50	59	126	19	3	15.79%	25	12	52.00%	0	100	219	45.66%	123	237	51.90%	46	90	51.11%	140	96	143	44	75	38
	_Vs Division	6	2	4	0	0	0	0	0	20	26	-6	3	2	1	0	0	0	0	0	12	11	1	3	0	3	0	0	0	0	0	8	15	-7	4	0.333	20	36	56	0	0	4	9	7	0	222	72	68	82	0	224	50	59	126	19	3	15.79%	25	12	52.00%	0	100	219	45.66%	123	237	51.90%	46	90	51.11%	140	96	143	44	75	38

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
6	4	L2	20	36	56	222	224	50	59	126	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	20	26

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	12	11

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	8	15

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
2	4	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
19	3	15.79%	25	12	52.00%	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
72	68	82	0	4	9	7	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
100	219	45.66%	123	237	51.90%	46	90	51.11%

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
140	96	143	44	75	38

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	Lien
1	4	Tampa Bay Lightning	3	Detroit Red Wings	5	L	Sommaire du match
3	12	Tampa Bay Lightning	3	Detroit Red Wings	4	L	Sommaire du match
5	20	Detroit Red Wings	3	Tampa Bay Lightning	5	W	Sommaire du match
7	28	Detroit Red Wings	5	Tampa Bay Lightning	6	W	Sommaire du match
9	36	Tampa Bay Lightning	2	Detroit Red Wings	6	L	Sommaire du match
11	44	Detroit Red Wings	3	Tampa Bay Lightning	1	L	Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	100	60	35	25	200
Assistance	18,000	15,000	6,000	12,000	3,000
Attendance PCT	100.00%	100.00%	100.00%	100.00%	100.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
4	18000 - 100.00%	1,270,000$	3,810,000$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	63,749,500$	63,749,500$	0$	0$

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

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

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
0$	45,413,640$	45,413,640$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	83,500,000$	83,500,000$	-40,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Nikita Kucherov	AGE:31	PO:0	OV:80
Brandon Hagel	AGE:26	PO:0	OV:74
Nicholas Paul	AGE:29	PO:0	OV:72
Conor Sheary	AGE:32	PO:0	OV:71
Tanner Jeannot	AGE:27	PO:0	OV:70
Tyler Motte	AGE:29	PO:0	OV:69
Austin Watson	AGE:32	PO:0	OV:67
Cole Koepke	AGE:26	PO:0	OV:60
Daniel Walcott	AGE:30	PO:0	OV:60
Gabriel Fortier	AGE:24	PO:0	OV:60
Ethan Gauthier (R)	AGE:19	PO:0	OV:60
Mitchell Chaffee	AGE:26	PO:0	OV:58
Jaydon Dureau	AGE:23	PO:0	OV:56
Lucas Edmonds	AGE:23	PO:0	OV:56
Joe Carroll	AGE:23	PO:0	OV:56
Bennett Macarthur	AGE:23	PO:0	OV:53

Brayden Point	AGE:28	PO:0	OV:79
Steven Stamkos	AGE:34	PO:0	OV:79
Anthony Cirelli	AGE:27	PO:0	OV:73
Tyler Motte	AGE:29	PO:0	OV:69
Luke Glendening	AGE:35	PO:0	OV:67
Michael Eyssimont	AGE:28	PO:0	OV:65
Alex Barre-Boulet	AGE:27	PO:0	OV:64
Gabriel Dumont	AGE:34	PO:0	OV:61
Daniel Walcott	AGE:30	PO:0	OV:60
Felix Robert	AGE:25	PO:0	OV:60
Gage Goncalves	AGE:23	PO:0	OV:60
Shawn Element	AGE:24	PO:0	OV:58
Jack Finley	AGE:22	PO:0	OV:58
Jaydon Dureau	AGE:23	PO:0	OV:56
Joe Carroll	AGE:23	PO:0	OV:56
Bennett Macarthur	AGE:23	PO:0	OV:53

Nikita Kucherov	AGE:31	PO:0	OV:80
Brandon Hagel	AGE:26	PO:0	OV:74
Nicholas Paul	AGE:29	PO:0	OV:72
Conor Sheary	AGE:32	PO:0	OV:71
Tanner Jeannot	AGE:27	PO:0	OV:70
Tyler Motte	AGE:29	PO:0	OV:69
Austin Watson	AGE:32	PO:0	OV:67
Cole Koepke	AGE:26	PO:0	OV:60
Daniel Walcott	AGE:30	PO:0	OV:60
Gabriel Fortier	AGE:24	PO:0	OV:60
Ethan Gauthier (R)	AGE:19	PO:0	OV:60
Mitchell Chaffee	AGE:26	PO:0	OV:58
Jaydon Dureau	AGE:23	PO:0	OV:56
Lucas Edmonds	AGE:23	PO:0	OV:56
Joe Carroll	AGE:23	PO:0	OV:56
Bennett Macarthur	AGE:23	PO:0	OV:53

Défense #1

Défense #2

Gardien

Victor Hedman	AGE:34	PO:0	OV:79
Mikhail Sergachev	AGE:26	PO:0	OV:78
Erik Cernak	AGE:27	PO:0	OV:73
Calvin De Haan	AGE:33	PO:0	OV:69
Haydn Fleury	AGE:28	PO:0	OV:67
Nick Perbix	AGE:26	PO:0	OV:66
Philippe Myers	AGE:27	PO:0	OV:63

Darren Raddysh	AGE:28	PO:0	OV:62
Declan Carlile	AGE:24	PO:0	OV:59
Sean Day	AGE:26	PO:0	OV:59
Devante Stephens	AGE:27	PO:0	OV:58
Jack Thompson	AGE:22	PO:0	OV:58
Max Crozier	AGE:24	PO:0	OV:53

Andrei Vasilevskiy	AGE:30	PO:0	OV:87
Jonas Johansson	AGE:29	PO:0	OV:64
Hugo Alnefelt	AGE:23	PO:0	OV:62
Evan Fitzpatrick	AGE:26	PO:0	OV:58
Matt Tomkins	AGE:30	PO:0	OV:51

Espoirs

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Astuces sur les filtres (anglais seulement)

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Date de la Dernière Transaction	Lien
Alex Gagne	Tampa Bay Lightning	0	0
Connor Kurth	Tampa Bay Lightning	0	0
Daniil Pylenkov	Tampa Bay Lightning	0	0
Dylan Duke	Tampa Bay Lightning	0	0
Dyllan Gill	Tampa Bay Lightning	0	0
Eamon Powell	Tampa Bay Lightning	0	0
Ethan Hay	Tampa Bay Lightning	0	0
Isaac Howard	Tampa Bay Lightning	0	0
Jack Harvey	Tampa Bay Lightning	0	0
Jayson Shaugabay	Tampa Bay Lightning	0	0
Klavs Veinbergs	Tampa Bay Lightning	0	0
McKade Webster	Tampa Bay Lightning	0	0
Nick Capone	Tampa Bay Lightning	0	0
Nick Malik	Tampa Bay Lightning	0	0
Niko Huuhtanen	Tampa Bay Lightning	0	0
Robert Flinton	Tampa Bay Lightning	0	0
Warren Clark	Tampa Bay Lightning	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2
3
4
5
6
Choix au repêchage conditionnel

La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.

Tampa Bay Lightning Historique de transactions

[22.04.2024 09:20:08] - Tampa Bay Lightning was eliminated at round 1 of year 1.
[22.04.2024 09:15:16] - Syracuse Crunch didn't make playoff for year 1.
[04.03.2024 19:49:38] - New Record for Team's Most Hits (26) in 1 Game for Tampa Bay Lightning!
[03.03.2024 20:17:05] - New Record for Team's Most Penalties Minutes (21) in 1 Game for Tampa Bay Lightning!
[26.02.2024 19:12:10] - New Record for Team's Most Shots Blocked (22) in 1 Game for Tampa Bay Lightning!
[26.02.2024 19:12:10] - New Record for Team's Most Points (15) in 1 Game for Tampa Bay Lightning!
[26.02.2024 19:12:10] - New Record for Team's Most Assists (10) in 1 Game for Tampa Bay Lightning!
[26.02.2024 19:12:10] - New Record for Team's Most Goals (5) in 1 Game for Tampa Bay Lightning!
[26.02.2024 19:12:10] - New Record for Team's Most Shots Blocked (22) in 1 Game for Tampa Bay Lightning!
[22.02.2024 19:00:58] - New Record for Team's Most Shots Blocked (13) in 1 Game for Tampa Bay Lightning!
[21.02.2024 19:02:39] - New Record for Team's Most Shots (42) in 1 Game for Tampa Bay Lightning!
[17.02.2024 19:09:46] - New Record for Team's Most Penalties Minutes (12) in 1 Game for Tampa Bay Lightning!
[17.02.2024 19:09:46] - New Record for Team's Most Shots (36) in 1 Game for Tampa Bay Lightning!
[15.02.2024 21:01:05] - New Record for Team's Most Hits (24) in 1 Game for Tampa Bay Lightning!
[15.02.2024 21:01:05] - New Record for Team's Most Penalties Minutes (4) in 1 Game for Tampa Bay Lightning!
[15.02.2024 21:01:05] - New Record for Team's Most Shots Blocked (8) in 1 Game for Tampa Bay Lightning!
[15.02.2024 21:01:05] - New Record for Team's Most Shots (31) in 1 Game for Tampa Bay Lightning!
[15.02.2024 21:01:05] - New Record for Team's Most Points (10) in 1 Game for Tampa Bay Lightning!
[15.02.2024 21:01:05] - New Record for Team's Most Assists (6) in 1 Game for Tampa Bay Lightning!
[15.02.2024 21:01:05] - New Record for Team's Most Goals (4) in 1 Game for Tampa Bay Lightning!
[01.02.2024 19:18:17] - Ethan Gauthier was added to Tampa Bay Lightning.
[01.02.2024 19:18:17] - Bennett Macarthur was added to Tampa Bay Lightning.
[01.02.2024 19:18:17] - Matt Tomkins was added to Tampa Bay Lightning.
[01.02.2024 19:18:17] - Jonas Johansson was added to Tampa Bay Lightning.

[22.04.2024 09:20:08] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[22.04.2024 09:20:07] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[22.04.2024 09:20:07] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[22.04.2024 09:20:06] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[22.04.2024 09:20:05] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[22.04.2024 09:18:03] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[13.03.2024 19:06:28] Both Tampa Bay Lightning and Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[12.03.2024 19:24:32] Both Tampa Bay Lightning and Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[11.03.2024 19:20:48] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[09.03.2024 19:46:50] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[08.03.2024 20:18:51] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[06.03.2024 20:27:07] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[04.03.2024 19:49:38] Both Tampa Bay Lightning and Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[04.03.2024 19:49:38] New Record for Team's Most Hits (26) in 1 Game for Tampa Bay Lightning!
[03.03.2024 20:17:05] New Record for Team's Most Penalties Minutes (21) in 1 Game for Tampa Bay Lightning!
[02.03.2024 19:02:31] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[28.02.2024 19:01:43] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased. But, Tampa Bay Lightning lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[26.02.2024 19:12:10] New Record for Team's Most Shots Blocked (22) in 1 Game for Tampa Bay Lightning!
[26.02.2024 19:12:10] New Record for Team's Most Points (15) in 1 Game for Tampa Bay Lightning!
[26.02.2024 19:12:10] New Record for Team's Most Assists (10) in 1 Game for Tampa Bay Lightning!
[26.02.2024 19:12:10] New Record for Team's Most Goals (5) in 1 Game for Tampa Bay Lightning!
[26.02.2024 19:12:10] New Record for Team's Most Shots Blocked (22) in 1 Game for Tampa Bay Lightning!
[25.02.2024 19:18:28] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.

Pas de blessure ou de suspension.

Tampa Bay Lightning Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Tampa Bay Lightning Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Tampa Bay Lightning Statistiques de l'Équipe de Carrière

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

Tampa Bay Lightning Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Tampa Bay Lightning Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Tampa Bay Lightning
	GP: 6 \| W: 2 \| L: 4 GF: 20 \| GA: 26 \| PP%: 15.79% \| PK%: 52.00% DG: Martin \| Morale : 99 \| Moyenne d’équipe : 72