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

Centre de jeu
	Toronto Maple Leafs 1-0-0, 2pts	2	FINAL	1	Tampa Bay Lightning 0-0-1, 1pts

Team Stats
SOW1	Séquence	SOL1
0-0-0	Fiche domicile	0-0-1
1-0-0	Fiche visiteur	0-0-0
1-0-0	Derniers 10 matchs	0-0-1
2.00	Buts par match	1.00
1.00	Buts contre par match	2.00
0.00%	Pourcentage en avantage numérique	0%
0%	Pourcentage en désavantage numérique	100.00%

Detroit Red Wings
1-0-0, 2pts

Jour 6

Tampa Bay Lightning
0-0-1, 1pts

Statistiques d’équipe
W1	Séquence	SOL1
1-0-0	Fiche domicile	0-0-1
0-0-0	Fiche visiteur	0-0-0
1-0-0	10 derniers matchs	0-0-1
3.00	Buts par match	1.00
1.00	Buts contre par match	1.00
0.00%	Pourcentage en avantage numérique	0%
100.00%	Pourcentage en désavantage numérique	100.00%

Tampa Bay Lightning
0-0-1, 1pts

Jour 9

Ottawa Senators
1-0-0, 2pts

Statistiques d’équipe
SOL1	Séquence	W1
0-0-1	Fiche domicile	1-0-0
0-0-0	Fiche visiteur	0-0-0
0-0-1	10 derniers matchs	1-0-0
1.00	Buts par match	3.00
2.00	Buts contre par match	3.00
0%	Pourcentage en avantage numérique	100.00%
100.00%	Pourcentage en désavantage numérique	0%

Florida Panthers
0-1-0, 0pts

Jour 11

Tampa Bay Lightning
0-0-1, 1pts

Statistiques d’équipe
L1	Séquence	SOL1
0-0-0	Fiche domicile	0-0-1
0-1-0	Fiche visiteur	0-0-0
0-1-0	10 derniers matchs	0-0-1
1.00	Buts par match	1.00
2.00	Buts contre par match	1.00
0.00%	Pourcentage en avantage numérique	0%
100.00%	Pourcentage en désavantage numérique	100.00%

Meneurs d'équipe
	Buts Matt Boldy 1	Passes Mason McTavish 1

	Points Matt Boldy 1	Plus/Moins Matt Boldy 1

	Victoires Laurent Brossoit 0	Pourcentage d’arrêts Laurent Brossoit 0.962

Statistiques d’équipe
Buts pour 1 1.00 GFG	Tirs pour 28 28.00 Avg	Pourcentage en avantage numérique 0% 0 GF	Début de zone offensive 42.5%
Buts contre 2 2.00 GAA	Tirs contre 26 26.00 Avg	Pourcentage en désavantage numérique 100.0%% 0 GA	Début de la zone défensive 37.5%

Informations de l'équipe
	Directeur général	Patrice St-Yves
	Entraîneur	John Hynes
	Division	Atlantic Division
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Amalie Arena
	Capacité	18,000
	Assistance	0
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	24
	Limite contact	45 / 50
	Espoirs	18
Plafond salarial
	Cap Salarial de la Saison estimé	68,962,500$
	Plafond salarial disponible	19,037,500$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	67,655,052$
	Compte bancaire actuel	2,774,171$
	Compte bancaire projeté	-85,046,745$

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	TA	SP	Âge	Contrat	Salaire
1	Matt Boldy		X	X		100.00	67	72	85	85	80	92	94	85	63	83	81	72	78	61	61	0	40	75		0	22	6	7,000,000$
2	Evgeny Kuznetsov	X				100.00	67	72	85	77	81	90	92	76	74	82	71	69	72	78	71	0	40	70		0	31	2	9,450,000$
3	Mason McTavish	X	X			100.00	69	73	79	79	81	86	92	78	74	81	75	63	75	60	60	0	40	70		0	20	2	900,000$
4	Noel Acciari	X	X	X		100.00	80	80	91	74	81	81	90	68	75	75	70	84	62	68	65	0	40	70		0	32	4	2,500,000$
5	Rafael Harvey-Pinard		X			100.00	72	72	91	78	74	82	82	72	50	74	72	85	61	58	59	0	40	70		0	24	2	1,100,000$
6	Sean Kuraly	X				100.00	78	80	81	74	85	82	91	69	76	76	71	79	65	70	76	0	40	70		0	30	2	3,125,000$
7	Matthew Knies		X	X		100.00	75	79	85	77	85	80	94	72	50	79	73	74	66	58	61	0	40	70		0	21	2	925,000$
8	Conor Sheary		X	X		100.00	68	69	91	74	73	80	91	71	59	78	70	78	63	73	68	0	40	69		0	31	4	2,500,000$
9	Isac Lundestrom	X	X			100.00	68	71	94	77	77	82	86	68	69	76	68	84	64	63	62	0	40	69		0	24	2	1,500,000$
10	Kaapo Kakko			X		100.00	67	71	91	77	79	82	92	72	63	78	74	72	72	64	63	0	40	69		0	22	2	2,400,000$
11	Juraj Slafkovsky (R)		X			100.00	73	78	82	77	87	84	88	75	65	78	73	64	68	59	62	0	40	69		0	19	10	950,000$
12	Anthony Beauvillier		X	X		100.00	69	72	91	74	76	84	91	73	61	78	71	64	64	72	67	0	40	68		0	26	2	1,250,000$
13	Justin Faulk				X	99.00	73	75	85	84	78	95	92	79	50	76	71	84	68	82	83	0	40	74	N	0	31	6	6,500,000$
14	Dylan DeMelo				X	99.00	76	76	85	80	78	93	94	70	50	72	70	83	65	72	65	0	40	73	N	0	30	8	4,900,000$
15	Nick Jensen				X	100.00	73	74	92	78	76	93	94	67	50	70	68	84	64	72	65	0	40	72	N	0	33	4	4,050,000$
16	T.J. Brodie				X	100.00	70	72	88	79	76	94	92	67	50	70	67	88	62	83	73	0	40	72	N	0	33	4	4,687,500$
17	Olli Maatta				X	100.00	72	74	92	77	79	88	93	67	50	69	70	78	64	76	68	0	40	70		0	29	1	3,750,000$
18	Philippe Myers				X	100.00	87	87	79	70	86	77	84	63	50	61	64	68	61	60	57	0	40	65		0	26	2	775,000$
Rayé
1	Nico Sturm	X	X			100.00	71	75	91	76	83	83	91	69	81	77	71	81	63	63	62	0	40	70		0	28	2	2,000,000$

	MOYENNE D’ÉQUIPE					99.89	72	75	87	77	80	86	91	72	61	75	71	77	66	68	66	0	40	70

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Laurent Brossoit	100.00	86	73	71	86	95	83	90	94	92	88	96	66	76	0	40	83	0	30	4	3,300,000$
2	Elvis Merzlikins	100.00	74	79	86	83	76	83	79	75	78	71	70	62	68	0	40	74	0	29	4	5,400,000$
Rayé

	MOYENNE D’ÉQUIPE	100.00	80	76	79	85	86	83	85	85	85	80	83	64	72	0	40	79

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
John Hynes	85	85	85	85	85	85	85	USA	52	8	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PKM	FO%	FOT	GA	TA	P/20	PSG	PSS
1	Matt Boldy	Tampa Bay Lightning	LW/RW	1	1	0	1	1	0	0	1	5	0	0	20.00%	1	21	21.32	1	50.00%	2	2	0	0.94	1	1
2	Mason McTavish	Tampa Bay Lightning	C/LW	1	0	1	1	1	2	3	0	5	0	3	0%	0	20	20.27	0	35.71%	14	2	0	0.99	0	1
3	Matthew Knies	Tampa Bay Lightning	LW/RW	1	0	1	1	1	2	2	0	0	0	0	0%	1	19	19.90	0	50.00%	2	0	0	1.01	0	1
4	Anthony Beauvillier	Tampa Bay Lightning	LW/RW	1	0	0	0	0	0	0	1	6	1	0	0%	0	11	11.83	0	0%	0	1	0	0	0	0
5	Conor Sheary	Tampa Bay Lightning	LW/RW	1	0	0	0	0	0	0	0	0	0	2	0%	0	12	12.53	0	0%	0	1	0	0	0	0
6	Dylan DeMelo	Tampa Bay Lightning	D	1	0	0	0	-1	0	2	6	1	2	1	0%	3	26	26.58	3	0%	0	0	3	0	0	0
7	Evgeny Kuznetsov	Tampa Bay Lightning	C	1	0	0	0	-1	0	1	1	1	0	1	0%	0	18	18.40	2	60.00%	10	2	1	0	1	1
8	Isac Lundestrom	Tampa Bay Lightning	C/LW	1	0	0	0	0	0	0	3	2	0	1	0%	2	11	11.37	0	40.00%	10	1	0	0	0	0
9	Justin Faulk	Tampa Bay Lightning	D	1	0	0	0	-1	0	1	2	1	3	0	0%	0	27	27.43	3	0%	0	0	2	0	0	0
10	Kaapo Kakko	Tampa Bay Lightning	RW	1	0	0	0	0	0	1	1	2	1	1	0%	0	12	12.53	0	0%	0	0	0	0	0	0
11	Nick Jensen	Tampa Bay Lightning	D	1	0	0	0	0	0	3	3	0	0	0	0%	0	20	20.88	0	0%	0	0	1	0	0	0
12	Noel Acciari	Tampa Bay Lightning	C/LW/RW	1	0	0	0	-1	0	1	3	1	1	0	0%	1	14	14.40	0	0%	2	2	0	0	0	0
13	Olli Maatta	Tampa Bay Lightning	D	1	0	0	0	1	0	1	0	1	0	0	0%	1	15	15.27	0	0%	0	0	1	0	0	0
14	Philippe Myers	Tampa Bay Lightning	D	1	0	0	0	1	0	2	2	0	1	0	0%	3	15	15.27	0	0%	0	0	0	0	0	0
15	Rafael Harvey-Pinard	Tampa Bay Lightning	LW	1	0	0	0	-1	0	1	5	0	0	4	0%	0	15	15.78	0	0%	0	3	0	0	0	0
16	Sean Kuraly	Tampa Bay Lightning	C	1	0	0	0	0	0	3	2	0	1	0	0%	0	13	13.92	0	0%	2	0	0	0	0	1
17	T.J. Brodie	Tampa Bay Lightning	D	1	0	0	0	0	0	2	3	0	0	0	0%	1	19	19.57	0	0%	0	0	1	0	0	0
18	Juraj Slafkovsky	Tampa Bay Lightning	LW	1	0	0	0	0	0	0	0	3	2	1	0%	1	13	13.75	2	0%	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				18	1	2	3	0	4	23	33	28	12	14	3.57%	14	311	17.28	15	40.48%	42	14	9	0.19	2	5

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	Laurent Brossoit	Tampa Bay Lightning	1	0	0	1	0.962	0.92	65	0	0	1	26	15	0	0	0.400	5	1	0	0	0	1
Statistiques d’équipe totales ou en moyenne			1	0	0	1	0.962	0.92	65	0	0	1	26	15	0	0		5	1	0	0	0	1

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10	Lien
Anthony Beauvillier	Tampa Bay Lightning	LW/RW	26	1997-06-08	CAN	No	182 Lbs	5 ft11	No	No	N/A		No	No	2	2024-08-06	False	False	Pro & Farm	1,250,000$	1,250,000$	1,226,303$	No	1,250,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Conor Sheary	Tampa Bay Lightning	LW/RW	31	1992-06-08	USA	No	178 Lbs	5 ft9	No	No	N/A		No	Yes	4		False	False	Pro & Farm	2,500,000$	2,500,000$	2,452,607$	No	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Dylan DeMelo	Tampa Bay Lightning	D	30	1993-05-01	CAN	No	191 Lbs	6 ft0	Yes	No	Assign Manually		No	No	8	2024-08-23	False	False	Pro & Farm	4,900,000$	4,900,000$	4,807,109$	No	4,900,000$	4,900,000$	4,900,000$	4,900,000$	4,900,000$	4,900,000$	4,900,000$	-	-	-	-	-	-	-	-	-	-	-	No	No	No	No	No	No	No	-	-	Lien / Lien NHL
Elvis Merzlikins	Tampa Bay Lightning	G	29	1994-04-13	LVA	No	185 Lbs	6 ft3	No	No	N/A		No	No	4		False	False	Pro & Farm	5,400,000$	5,400,000$	5,297,630$	No	5,400,000$	5,400,000$	5,400,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Evgeny Kuznetsov	Tampa Bay Lightning	C	31	1992-05-19	RUS	No	205 Lbs	6 ft1	No	No	Trade	2024-03-25	No	No	2		False	False	Pro & Farm	9,450,000$	9,450,000$	9,270,853$	No	9,450,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Isac Lundestrom	Tampa Bay Lightning	C/LW	24	1999-11-06	SWE	No	187 Lbs	6 ft0	No	No	N/A		No	No	2	2024-08-06	False	False	Pro & Farm	1,500,000$	1,500,000$	1,471,564$	No	1,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Juraj Slafkovsky	Tampa Bay Lightning	LW	19	2004-03-30	SVK	Yes	238 Lbs	6 ft3	No	No	Assign Manually		No	No	10	2024-08-06	False	False	Pro & Farm	950,000$	950,000$	931,991$	No	950,000$	7,600,000$	7,600,000$	7,600,000$	7,600,000$	7,600,000$	7,600,000$	7,600,000$	7,600,000$	4,450,000$	4,450,000$	4,450,000$	4,450,000$	4,450,000$	4,450,000$	4,450,000$	4,450,000$	4,450,000$	No	No	No	No	No	No	No	No	No	Lien NHL
Justin Faulk	Tampa Bay Lightning	D	31	1992-03-20	USA	No	217 Lbs	6 ft0	Yes	No	Assign Manually		No	No	6	2024-08-23	False	False	Pro & Farm	6,500,000$	6,500,000$	6,376,777$	No	6,500,000$	6,500,000$	6,500,000$	6,500,000$	6,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	No	No	-	-	-	-	Lien / Lien NHL
Kaapo Kakko	Tampa Bay Lightning	RW	22	2001-02-13	FIN	No	199 Lbs	6 ft3	No	No	N/A		No	No	2	2024-08-06	False	False	Pro & Farm	2,400,000$	2,400,000$	2,354,502$	No	2,400,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Laurent Brossoit	Tampa Bay Lightning	G	30	1993-03-23	CAN	No	204 Lbs	6 ft3	No	No	N/A		No	Yes	4	2024-08-12	False	False	Pro & Farm	3,300,000$	3,300,000$	3,237,441$	No	3,300,000$	3,300,000$	3,300,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Mason McTavish	Tampa Bay Lightning	C/LW	20	2003-01-30	CAN	No	72 Lbs	1 ft9	No	No	N/A		No	No	2		False	False	Pro & Farm	900,000$	900,000$	882,938$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Matt Boldy	Tampa Bay Lightning	LW/RW	22	2001-04-05	USA	No	196 Lbs	6 ft2	No	No	Trade	2024-03-16	No	No	6		False	False	Pro & Farm	7,000,000$	7,000,000$	6,867,299$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	7,000,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	No	No	-	-	-	-	Lien / Lien NHL
Matthew Knies	Tampa Bay Lightning	LW/RW	21	2002-10-17	USA	No	220 Lbs	6 ft3	No	No	Prospect		No	No	2	2024-01-21	False	False	Pro & Farm	925,000$	925,000$	907,464$	No	925,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien NHL
Nick Jensen	Tampa Bay Lightning	D	33	1990-09-21	USA	No	205 Lbs	6 ft1	Yes	No	Assign Manually		No	No	4	2024-08-23	False	False	Pro & Farm	4,050,000$	4,050,000$	3,973,223$	No	4,050,000$	4,050,000$	4,050,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Nico Sturm	Tampa Bay Lightning	C/LW	28	1995-05-03	DEU	No	207 Lbs	6 ft3	No	No	Trade	2024-03-16	No	No	2		False	False	Pro & Farm	2,000,000$	2,000,000$	1,962,085$	No	2,000,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Noel Acciari	Tampa Bay Lightning	C/LW/RW	32	1991-12-01	USA	No	209 Lbs	5 ft10	No	No	Trade	2024-04-09	No	No	4		False	False	Pro & Farm	2,500,000$	2,500,000$	2,452,607$	No	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Olli Maatta	Tampa Bay Lightning	D	29	1994-08-22	FIN	No	206 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	3,750,000$	3,750,000$	3,678,910$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Philippe Myers	Tampa Bay Lightning	D	26	1997-01-25	CAN	No	210 Lbs	6 ft5	No	No	N/A		No	No	2	2024-08-06	False	False	Pro & Farm	775,000$	775,000$	760,308$	No	775,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Rafael Harvey-Pinard	Tampa Bay Lightning	LW	24	1999-06-01	CAN	No	170 Lbs	5 ft9	No	No	Trade	2024-04-12	No	No	2		False	False	Pro & Farm	1,100,000$	1,100,000$	1,079,147$	No	1,100,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Sean Kuraly	Tampa Bay Lightning	C	30	1993-01-20	USA	No	213 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	3,125,000$	3,125,000$	3,065,758$	No	3,125,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
T.J. Brodie	Tampa Bay Lightning	D	33	1990-06-07	CAN	No	185 Lbs	6 ft1	Yes	No	Assign Manually		No	No	4	2024-08-23	False	False	Pro & Farm	4,687,500$	4,687,500$	4,598,637$	No	4,687,500$	4,687,500$	4,687,500$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	27.19	194 Lbs	5 ft11	3.57	3,283,929$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
68,962,500$	65,212,500$	48,437,500$	48,437,500$	26,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Matt Boldy	Mason McTavish	Matthew Knies	40	1	2	2
2	Rafael Harvey-Pinard	Evgeny Kuznetsov	Noel Acciari	30	1	2	2
3	Conor Sheary	Sean Kuraly	Kaapo Kakko	20	1	2	2
4	Juraj Slafkovsky	Isac Lundestrom	Anthony Beauvillier	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Justin Faulk	Dylan DeMelo	40	1	2	2
2	Nick Jensen	T.J. Brodie	30	1	2	2
3	Olli Maatta	Philippe Myers	20	1	2	2
4	Justin Faulk	Dylan DeMelo	10	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Matt Boldy	Mason McTavish	Matthew Knies	50	1	2	2
2	Rafael Harvey-Pinard	Evgeny Kuznetsov	Noel Acciari	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Justin Faulk	Dylan DeMelo	50	1	2	2
2	Nick Jensen	T.J. Brodie	50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Matt Boldy	Mason McTavish	50	1	2	2
2	Evgeny Kuznetsov	Matthew Knies	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Justin Faulk	Dylan DeMelo	50	1	2	2
2	Nick Jensen	T.J. Brodie	50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Matt Boldy	50	1	2	2	Justin Faulk	Dylan DeMelo	50	1	2	2
2	Mason McTavish	50	1	2	2	Nick Jensen	T.J. Brodie	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Matt Boldy	Mason McTavish	50	1	2	2
2	Evgeny Kuznetsov	Matthew Knies	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Justin Faulk	Dylan DeMelo	50	1	2	2
2	Nick Jensen	T.J. Brodie	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Matt Boldy	Mason McTavish	Matthew Knies	Justin Faulk	Dylan DeMelo

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Matt Boldy	Mason McTavish	Matthew Knies	Justin Faulk	Dylan DeMelo

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Sean Kuraly, Conor Sheary, Juraj Slafkovsky	Sean Kuraly, Conor Sheary	Juraj Slafkovsky

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Olli Maatta, Philippe Myers, Nick Jensen	Olli Maatta	Philippe Myers, Nick Jensen

Tirs de pénalité
Matt Boldy, Mason McTavish, Evgeny Kuznetsov, Matthew Knies, Sean Kuraly

Gardien
#1 : Laurent Brossoit, #2 : Elvis Merzlikins

Lignes d’attaque personnalisées en prolongation
Matt Boldy, Mason McTavish, Evgeny Kuznetsov, Matthew Knies, Sean Kuraly, Rafael Harvey-Pinard, Rafael Harvey-Pinard, Noel Acciari, Conor Sheary, Juraj Slafkovsky, Isac Lundestrom

Lignes de défense personnalisées en prolongation
Justin Faulk, Dylan DeMelo, Nick Jensen, T.J. Brodie, Olli Maatta

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	Toronto Maple Leafs	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	1	0	0	2	28	8	15	5	5	26	14	4	23	0	0	0%	2	0	100.00%	0	9	17	52.94%	7	15	46.67%	1	8	12.50%	24	16	22	8	17	8
	Total	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	1	0	0	2	28	8	15	5	5	26	14	4	23	0	0	0%	2	0	100.00%	0	9	17	52.94%	7	15	46.67%	1	8	12.50%	24	16	22	8	17	8
	_Since Last GM Reset	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	1	0	0	2	28	8	15	5	5	26	14	4	23	0	0	0%	2	0	100.00%	0	9	17	52.94%	7	15	46.67%	1	8	12.50%	24	16	22	8	17	8
	_Vs Conference	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	1	0	0	2	28	8	15	5	5	26	14	4	23	0	0	0%	2	0	100.00%	0	9	17	52.94%	7	15	46.67%	1	8	12.50%	24	16	22	8	17	8
	_Vs Division	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	1	0	0	2	28	8	15	5	5	26	14	4	23	0	0	0%	2	0	100.00%	0	9	17	52.94%	7	15	46.67%	1	8	12.50%	24	16	22	8	17	8

			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
1	1	SOL1	1	2	3	28	26	14	4	23	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	0	0	0	0	1	1	2

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

Matchs extérieurs
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	1

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%	2	0	100.00%	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
8	15	5	5	1	0	0	2

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
9	17	52.94%	7	15	46.67%	1	8	12.50%

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
24	16	22	8	17	8

Derniers matchs joués Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
2	15	Toronto Maple Leafs	2	Tampa Bay Lightning	1	L	X	X	Sommaire du match
6	33	Detroit Red Wings	-	Tampa Bay Lightning	-
9	49	Tampa Bay Lightning	-	Ottawa Senators	-
11	65	Florida Panthers	-	Tampa Bay Lightning	-
13	82	Tampa Bay Lightning	-	Buffalo Sabres	-
16	103	Buffalo Sabres	-	Tampa Bay Lightning	-
21	129	Boston Bruins	-	Tampa Bay Lightning	-
23	139	Tampa Bay Lightning	-	Toronto Maple Leafs	-
26	160	Tampa Bay Lightning	-	Montreal Canadiens	-
27	168	Montreal Canadiens	-	Tampa Bay Lightning	-
29	180	Tampa Bay Lightning	-	Detroit Red Wings	-
32	198	Ottawa Senators	-	Tampa Bay Lightning	-
35	218	Tampa Bay Lightning	-	Boston Bruins	-
37	226	Florida Panthers	-	Tampa Bay Lightning	-
38	240	Tampa Bay Lightning	-	Florida Panthers	-
42	262	Boston Bruins	-	Tampa Bay Lightning	-
44	274	Tampa Bay Lightning	-	Detroit Red Wings	-
47	291	Ottawa Senators	-	Tampa Bay Lightning	-
52	322	Ottawa Senators	-	Tampa Bay Lightning	-
54	340	Tampa Bay Lightning	-	Florida Panthers	-
57	354	Detroit Red Wings	-	Tampa Bay Lightning	-
59	371	Tampa Bay Lightning	-	Toronto Maple Leafs	-
61	382	Tampa Bay Lightning	-	Boston Bruins	-
63	393	Detroit Red Wings	-	Tampa Bay Lightning	-
66	411	Tampa Bay Lightning	-	Boston Bruins	-
68	423	Boston Bruins	-	Tampa Bay Lightning	-
69	433	Tampa Bay Lightning	-	Toronto Maple Leafs	-
72	447	Tampa Bay Lightning	-	Detroit Red Wings	-
75	466	Montreal Canadiens	-	Tampa Bay Lightning	-
78	485	Los Angeles Kings	-	Tampa Bay Lightning	-
79	490	Tampa Bay Lightning	-	Florida Panthers	-
83	520	Toronto Maple Leafs	-	Tampa Bay Lightning	-
87	548	Chicago Blackhawks	-	Tampa Bay Lightning	-
88	554	Tampa Bay Lightning	-	Buffalo Sabres	-
91	571	Tampa Bay Lightning	-	Montreal Canadiens	-
93	582	Buffalo Sabres	-	Tampa Bay Lightning	-
95	596	Tampa Bay Lightning	-	Washington Capitals	-
99	616	Tampa Bay Lightning	-	Ottawa Senators	-
100	625	Montreal Canadiens	-	Tampa Bay Lightning	-
103	646	Calgary Flames	-	Tampa Bay Lightning	-
105	657	Tampa Bay Lightning	-	Dallas Stars	-
107	677	Montreal Canadiens	-	Tampa Bay Lightning	-
112	706	Tampa Bay Lightning	-	Florida Panthers	-
113	712	New York Rangers	-	Tampa Bay Lightning	-
115	725	Tampa Bay Lightning	-	Anaheim Ducks	-
118	741	Detroit Red Wings	-	Tampa Bay Lightning	-
121	760	Tampa Bay Lightning	-	New York Islanders	-
124	778	Winnipeg Jets	-	Tampa Bay Lightning	-
127	801	Tampa Bay Lightning	-	New Jersey Devils	-
129	810	Los Angeles Kings	-	Tampa Bay Lightning	-
133	835	Colorado Avalanche	-	Tampa Bay Lightning	-
138	867	Philadephia Flyers	-	Tampa Bay Lightning	-
140	878	Tampa Bay Lightning	-	Seattle Kraken	-
143	896	Tampa Bay Lightning	-	Boston Bruins	-
144	903	Vegas Golden Knights	-	Tampa Bay Lightning	-
150	932	Vancouver Canucks	-	Tampa Bay Lightning	-
152	950	Tampa Bay Lightning	-	Montreal Canadiens	-
154	963	Ottawa Senators	-	Tampa Bay Lightning	-
158	984	Tampa Bay Lightning	-	Montreal Canadiens	-
160	997	Nashville Predators	-	Tampa Bay Lightning	-
162	1013	Tampa Bay Lightning	-	Detroit Red Wings	-
164	1026	Tampa Bay Lightning	-	Toronto Maple Leafs	-
165	1029	Columbus Blue Jackets	-	Tampa Bay Lightning	-
170	1059	Tampa Bay Lightning	-	Buffalo Sabres	-
171	1067	Toronto Maple Leafs	-	Tampa Bay Lightning	-
174	1089	Toronto Maple Leafs	-	Tampa Bay Lightning	-
176	1099	Tampa Bay Lightning	-	Edmonton Oilers	-
179	1119	Tampa Bay Lightning	-	Carolina Hurricanes	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
180	1126	Minnesota Wild	-	Tampa Bay Lightning	-
182	1144	Tampa Bay Lightning	-	Pittsburgh Penguins	-
184	1154	Tampa Bay Lightning	-	Buffalo Sabres	-
186	1164	Boston Bruins	-	Tampa Bay Lightning	-
189	1187	Tampa Bay Lightning	-	San Jose Sharks	-
191	1194	Buffalo Sabres	-	Tampa Bay Lightning	-
193	1208	Tampa Bay Lightning	-	Utah Hockey Club	-
195	1220	Tampa Bay Lightning	-	Ottawa Senators	-
197	1233	Florida Panthers	-	Tampa Bay Lightning	-
200	1254	Tampa Bay Lightning	-	Ottawa Senators	-
201	1260	Tampa Bay Lightning	-	Vancouver Canucks	-
203	1271	Buffalo Sabres	-	Tampa Bay Lightning	-
207	1293	Florida Panthers	-	Tampa Bay Lightning	-
208	1303	Tampa Bay Lightning	-	St.Louis Blues	-

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	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
40	0 - 0.00%	0$	0$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	68,962,500$	5,350,000$	1,000,000$0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
68,962,500$	0$	0$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	207	326,836$	67,655,052$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
87,820,916$	2,774,171$	-85,046,745$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
68,962,500$	19,037,500$	88,000,000$	3,962,500$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Matt Boldy	AGE:22	PO:0	OV:75
Mason McTavish	AGE:20	PO:0	OV:70
Nico Sturm	AGE:28	PO:0	OV:70
Noel Acciari	AGE:32	PO:0	OV:70
Rafael Harvey-Pinard	AGE:24	PO:0	OV:70
Matthew Knies	AGE:21	PO:0	OV:70
Conor Sheary	AGE:31	PO:0	OV:69
Isac Lundestrom	AGE:24	PO:0	OV:69
Juraj Slafkovsky (R)	AGE:19	PO:0	OV:69
Anthony Beauvillier	AGE:26	PO:0	OV:68
Connor Zary	AGE:22	PO:0	OV:65
Jakob Pelletier	AGE:22	PO:0	OV:64
Martin Pospisil	AGE:24	PO:0	OV:63
Jonathan Gruden	AGE:23	PO:0	OV:61
Ben McCartney (R)	AGE:22	PO:0	OV:58

Evgeny Kuznetsov	AGE:31	PO:0	OV:70
Mason McTavish	AGE:20	PO:0	OV:70
Nico Sturm	AGE:28	PO:0	OV:70
Noel Acciari	AGE:32	PO:0	OV:70
Sean Kuraly	AGE:30	PO:0	OV:70
Isac Lundestrom	AGE:24	PO:0	OV:69
Connor Zary	AGE:22	PO:0	OV:65
Jakob Pelletier	AGE:22	PO:0	OV:64
Benoit-Olivier Groulx	AGE:23	PO:0	OV:63
Raphael Lavoie	AGE:23	PO:0	OV:61
Shane Bowers	AGE:24	PO:0	OV:59
Blade Jenkins	AGE:23	PO:0	OV:56

Matt Boldy	AGE:22	PO:0	OV:75
Noel Acciari	AGE:32	PO:0	OV:70
Matthew Knies	AGE:21	PO:0	OV:70
Conor Sheary	AGE:31	PO:0	OV:69
Kaapo Kakko	AGE:22	PO:0	OV:69
Anthony Beauvillier	AGE:26	PO:0	OV:68
Connor Zary	AGE:22	PO:0	OV:65
Jakob Pelletier	AGE:22	PO:0	OV:64
Trey Fix-Wolansky	AGE:24	PO:0	OV:64
Jacob Perreault	AGE:21	PO:0	OV:57

Défense #1

Défense #2

Gardien

Justin Faulk	AGE:31	PO:0	OV:74
Dylan DeMelo	AGE:30	PO:0	OV:73
Nick Jensen	AGE:33	PO:0	OV:72
T.J. Brodie	AGE:33	PO:0	OV:72
Olli Maatta	AGE:29	PO:0	OV:70
Olen Zellweger (R)	AGE:20	PO:0	OV:68
Justin Barron	AGE:22	PO:0	OV:67
Tyler Tucker	AGE:23	PO:0	OV:66
Jake Christiansen (R)	AGE:24	PO:0	OV:65

Philippe Myers	AGE:26	PO:0	OV:65
Guillaume Brisebois	AGE:26	PO:0	OV:64
Tobias Bjornfot	AGE:22	PO:0	OV:63
Nicolas Beaudin	AGE:24	PO:0	OV:62
Daemon Hunt (R)	AGE:21	PO:0	OV:62
Brady Lyle	AGE:24	PO:0	OV:60
Mikko Kokkonen	AGE:22	PO:0	OV:59
Layton Ahac	AGE:22	PO:0	OV:58

Laurent Brossoit	AGE:30	PO:0	OV:83
Elvis Merzlikins	AGE:29	PO:0	OV:74
Jesper Wallstedt (R)	AGE:21	PO:0	OV:71
Domenic DiVincentiis (R)	AGE:19	PO:0	OV:70

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	Date de la Dernière Transaction
Andrew Basha	Tampa Bay Lightning	2024	34
Angus Booth	Tampa Bay Lightning	2022	146	2024-04-09
Anton Silayev	Tampa Bay Lightning	2024	13
Connor Geekie	Tampa Bay Lightning	2022	14	2024-03-16
Ilya Fedotov	Tampa Bay Lightning	0	0
Isaac Howard	Tampa Bay Lightning	2022	24
Jack Bar	Tampa Bay Lightning	0	0
Jake Furlong	Tampa Bay Lightning	2022	122
Justin Ertel	Tampa Bay Lightning	0	0
Kristian Vesalainen	Tampa Bay Lightning	0	0
Lucas Elvenes	Tampa Bay Lightning	0	0
Nikko Huuhtanen	Tampa Bay Lightning	0	0
Owen McLaughlin	Tampa Bay Lightning	0	0
Pavel Gogolev	Tampa Bay Lightning	0	0
Sasha Mutala	Tampa Bay Lightning	0	0
Tanner Howe	Tampa Bay Lightning	2024	35
Tarmo Reunanen	Tampa Bay Lightning	0	0
Tristan Broz	Tampa Bay Lightning	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5
9
11
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

[2024-09-06 09:15:24] - Tanner Howe has been added to Tampa Bay Lightning.
[2024-09-06 09:15:00] - Andrew Basha has been added to Tampa Bay Lightning.
[2024-08-29 21:31:52] - Anton Silayev has been added to Tampa Bay Lightning.
[2024-08-26 20:43:35] - TRADE : From Florida Panthers to Tampa Bay Lightning : Jacob Perreault (57).
[2024-08-26 20:43:35] - TRADE : From Tampa Bay Lightning to Florida Panthers : T.J. Oshie (70).
[2024-08-23 20:27:35] - Nick Jensen was added to Tampa Bay Lightning.
[2024-08-23 20:27:16] - T.J. Brodie was added to Tampa Bay Lightning.
[2024-08-23 20:26:45] - Dylan DeMelo was added to Tampa Bay Lightning.
[2024-08-23 20:25:45] - Justin Faulk was added to Tampa Bay Lightning.
[2024-08-16 19:13:03] - Alex Nedeljkovic was released.
[2024-08-16 19:13:02] - Nick Seeler was released.
[2024-08-16 19:13:02] - Alec Martinez was released.
[2024-08-06 22:13:53] - Tarmo Reunanen was released by Tampa Bay Lightning
[2024-08-06 22:13:42] - Tarmo Reunanen has been added to Tampa Bay Lightning.
[2024-08-06 22:12:28] - Pavel Gogolev was released by Tampa Bay Lightning
[2024-08-06 22:12:17] - Pavel Gogolev has been added to Tampa Bay Lightning.
[2024-08-06 22:10:59] - Michael McNiven was released.
[2024-08-06 22:10:59] - Tampa Bay Lightning paid $0 to release Michael McNiven.
[2024-08-06 22:10:10] - Lucas Elvenes was released by Tampa Bay Lightning
[2024-08-06 22:09:58] - Lucas Elvenes has been added to Tampa Bay Lightning.
[2024-08-06 22:08:32] - Kristian Vesalainen was released by Tampa Bay Lightning
[2024-08-06 22:08:19] - Kristian Vesalainen has been added to Tampa Bay Lightning.
[2024-08-06 22:07:03] - Dmitry Zavgorodniy was released.
[2024-08-06 22:07:03] - Tampa Bay Lightning paid $0 to release Dmitry Zavgorodniy.
[2024-08-06 22:04:31] - Adam Huska was released.
[2024-08-06 22:04:31] - Tampa Bay Lightning paid $0 to release Adam Huska.
[2024-08-06 22:01:36] - Jakob Silfverberg was released.
[2024-08-06 22:01:36] - Jakob Silfverberg retired from Tampa Bay Lightning

[2024-09-06 09:15:24] Tanner Howe has been added to Tampa Bay Lightning.
[2024-09-06 09:15:00] Andrew Basha has been added to Tampa Bay Lightning.
[2024-09-06 07:03:33] 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.
[2024-09-06 07:03:30] Auto Lines Partial Function has been run for Syracuse Crunch.
[2024-09-06 07:03:30] Syracuse Crunch (Tampa Bay Lightning) lines errors : Normal line # 1 C is empty. Normal line # 1 RW is empty. Normal line # 1 Defense #1 is empty. Normal line # 1 Defense #1 is empty. Unknown Player is used twice in Normal line #1 Unknown Player is used twice in Normal line #1 Unknown Player is used twice in Normal line #1 Normal line # 2 C is empty. Normal line # 2 LW is empty. Normal line # 2 RW is empty. Normal line # 2 Defense #2 is empty. Normal line # 2 Defense #2 is empty. Unknown Player is used twice in Normal line #2 Unknown Player is used twice in Normal line #2 Unknown Player is used twice in Normal line #2 Unknown Player is used twice in Normal line #2 Normal line # 3 C is empty. Normal line # 3 LW is empty. Normal line # 3 RW is empty. Normal line # 3 Defense #3 is empty. Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Unknown Player is used twice in Normal line #3 Normal line # 4 C is empty. Normal line # 4 LW is empty. Normal line # 4 Defense #4 is empty. Normal line # 4 Defense #4 is empty. Unknown Player is used twice in Normal line #4 Unknown Player is used twice in Normal line #4 Unknown Player is used twice in Normal line #4 Unknown Player is used twice in Normal lines 1 and 2. Unknown Player is used twice in Normal lines 1 and 2. Unknown Player is used twice in Normal lines 1 and 2. Unknown Player is used twice in Normal lines 1 and 2. Unknown Player is used twice in normal lines 1 and 3. Unknown Player is used twice in normal lines 1 and 3. Unknown Player is used twice in normal lines 1 and 3. Unknown Player is used twice in normal lines 1 and 3. Unknown Player is used twice in normal lines 2 and 3. Unknown Player is used twice in normal lines 2 and 3. Unknown Player is used twice in normal lines 2 and 3. Unknown Player is used twice in normal lines 2 and 3. Unknown Player is used twice in normal lines 2 and 3. PP line1 C is empty. PP line1 LW is empty. PP line 1 Defense #1 is empty. PK line 1 C is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 C is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. PP line 1 Defense #1 is empty. PK line 1 Defense #1 is empty. 4 vs 4 line 1 LW is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. Unknown Player is used twice in PP line#1 Unknown Player is used twice in PP line#1 Unknown Player is used twice PP in line#1 Unknown Player is used twice in PK line#1 Unknown Player is used twice PK in line#1 Unknown Player is used twice in 4 vs 4 line#1 Unknown Player is used twice in 4 vs 4 line#1 Unknown Player is used twice 4 vs 4 in line#1 Unknown Player is used twice PK3 in line#1 PP line2 C is empty. PP line2 LW is empty. PP line2 RW is empty. PP line 2 Defense #2 is empty. PK line 2 C is empty. PK line 2 Defense #2 is empty. PP line 2 Defense #2 is empty. PK line 2 LW is empty. 4 vs 4 line 2 LW is empty. 4 vs 4 line 2 Defense #2 is empty. PK3 line 2 Defense #2 is empty. PK3 line 2 RW is empty. Unknown Player is used twice in PP line#2 Unknown Player is used twice in PP line#2 Unknown Player is used twice in PP line#2 Unknown Player is used twice PP in line#2 Unknown Player is used twice in PK line#2 Unknown Player is used twice in PK line#2 Unknown Player is used twice in 4 vs 4 line#2 Unknown Player is used twice in PK3 line#2 Unknown Player is used twice in PP lines 1 and 2. Unknown Player is used twice in PP lines 1 and 2. Unknown Player is used twice in PP lines 1 and 2. Unknown Player is used twice in PP lines 1 and 2. Unknown Player is used twice in PK lines 1 and 2. Unknown Player is used twice in PK lines 1 and 2. Unknown Player is used twice in PK lines 1 and 2. Unknown Player is used twice in 4vs4 lines 1 and 2. Unknown Player is used twice in 4vs4 lines 1 and 2. Unknown Player is used twice in 4vs4 lines 1 and 2. Unknown Player is used twice in 4vs4 lines 1 and 2. Unknown Player is used twice in PK3 lines 1 and 2. Unknown Player is used twice in PK3 lines 1 and 2. LastMinOff line C is empty. LastMinDef line C is empty. LastMinOff line LW is empty. LastMinDef line LW is empty. LastMinOff line Defense is empty. LastMinDef line Defense is empty. LastMinOff line Defense is empty. LastMinDef line Defense is empty. Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinOff line Unknown Player is used twice in LastMinDef line Unknown Player is used twice in LastMinDef line Unknown Player is used twice in LastMinDef line Extra Forward #0 is empty. Extra Defense #0 is empty. Extra Forward #1 is empty. Extra Defense #1 is empty. Penalty Shot Player #1 is empty. Extra Forward #2 is empty. Extra Defense #3 is empty. Penalty Shot Player #3 is empty. Extra Defense #4 is empty. Penalty Shot Player #4 is empty. Extra Forward #5 is empty. Extra Defense #5 is empty. Penalty Shot Player #5 is empty. Unknown Player is used twice in Extra Forward Normal Unknown Player is used twice in Extra Defense Normal Unknown Player is used twice in Extra Defense PK Unknown Player is used twice in Extra Penalty Shot Unknown Player is used twice in Extra Penalty Shot Unknown Player is used twice in Extra Penalty Shot OT Forward #1 is empty. OT Forward #3 is empty. OT Forward #4 is empty. OT Forward #5 is empty. OT Forward #6 is empty. Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward Unknown Player is used twice in OT Forward OT Defense #1 is empty. OT Defense #3 is empty. OT Defense #4 is empty. OT Defense #5 is empty. Unknown Player is used twice in OT Defense Unknown Player is used twice in OT Defense Unknown Player is used twice in OT Defense Starting Goalie is empty. Backup Goalie is empty. Starting Goalie and BackUp Goalie are the same
[2024-09-06 06:47:17] Auto Lines Function has been run for Tampa Bay Lightning.
[2024-08-29 21:31:52] Anton Silayev has been added to Tampa Bay Lightning.
[2024-08-28 08:12:11] Tampa Bay Lightning roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.

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: 1 \| W: 0 \| L: 0 \| OTL: 1 \| P: 1 GF: 1 \| GA: 2 \| PP%: 0% \| PK%: 100.00% DG: Patrice St-Yves \| Morale : 40 \| Moyenne d’équipe : 71 Prochains matchs #33 vs Detroit Red Wings