Syracuse Crunch
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Client Web pour la formation
Client Web pour les lignes

Centre de jeu
	Ottawa Senators 16-10-0, 32pts	3	FINAL	1	Tampa Bay Lightning 2-4-0, 4pts

Team Stats
OTW1	Séquence	L2
11-3-0	Fiche domicile	2-1-0
5-7-0	Fiche visiteur	0-3-0
5-4-1	Derniers 10 matchs	2-3-1
3.62	Buts par match	2.83
2.96	Buts contre par match	3.67
22.55%	Pourcentage en avantage numérique	16.67%
80.37%	Pourcentage en désavantage numérique	92.31%

Tampa Bay Lightning
2-4-0, 4pts

FINAL

Ottawa Senators
16-10-0, 32pts

Team Stats
L2	Séquence	OTW1
2-1-0	Fiche domicile	11-3-0
0-3-0	Fiche visiteur	5-7-0
2-3-1	Derniers 10 matchs	5-4-1
2.83	Buts par match	3.62
3.67	Buts contre par match	2.96
16.67%	Pourcentage en avantage numérique	22.55%
92.31%	Pourcentage en désavantage numérique	80.37%

Meneurs d'équipe
	Buts Auston Matthews 5	Passes Travis Konecny 6

	Points Travis Konecny 8	Plus/Moins Michael Rasmussen 3

	Victoires Stuart Skinner 2	Pourcentage d’arrêts Braden Holtby 1

Statistiques d’équipe
Buts pour 17 2.83 GFG	Tirs pour 216 36.00 Avg	Pourcentage en avantage numérique 16.7% 4 GF	Début de zone offensive 43.5%
Buts contre 22 3.67 GAA	Tirs contre 237 39.50 Avg	Pourcentage en désavantage numérique 92.3%% 2 GA	Début de la zone défensive 40.7%

Informations de l'équipe
	Directeur général	Remi Baril
	Entraîneur	Rick Bowness
	Division	Atlantic
	Conférence	Eastern Conference
	Capitaine	Auston Matthews
	Assistant #1	Adam Larsson
	Assistant #2	Blake Wheeler
Informations de l’aréna
	Nom	St Pete Times Forum
	Capacité	19,500
	Assistance	19,500
	Billets de saison	7,800
Informations de la formation
	Équipe Pro	20
	Équipe Mineure	22
	Limite contact	42 / 250
	Espoirs	45
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	82,500,000$
	Valeur du plafond salarial spécial	1,000,000$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	5,501,718$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	56,764,512$
	Compte bancaire projeté	56,764,512$

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	Viktor Arvidsson		X	X		100.00	55	33	90	80	67	88	87	79	70	78	77	62	75	74	73	48	79	0		0	30	1	4,250,000$
2	Blake Wheeler (A)	X	X	X		100.00	62	39	81	75	93	89	86	78	77	83	72	63	74	90	81	40	62	0		0	37	2	6,500,000$
3	Jeff Skinner	X	X	X		100.00	55	34	84	85	72	88	90	76	74	79	83	62	78	83	75	68	79	0		0	31	3	10,000,000$
4	Jordan Eberle	X		X		100.00	58	34	91	76	70	88	90	78	56	77	73	65	76	85	76	49	56	0		0	33	1	4,750,000$
5	Zemgus Girgensons	X	X	X		100.00	70	39	91	67	80	83	86	64	78	61	65	79	63	75	70	68	79	0	N	0	29	4	2,600,000$
6	Pavel Zacha	X	X			100.00	64	37	92	75	86	87	89	74	78	76	72	65	74	69	68	84	56	0		0	26	2	2,000,000$
7	Auston Matthews (C)	X				100.00	65	37	92	87	85	91	87	88	84	86	94	68	91	70	76	87	76	0		0	26	4	7,950,000$
8	Patrik Laine		X	X		100.00	58	38	89	78	90	89	81	82	70	81	83	64	82	68	69	87	79	0		0	25	2	7,500,000$
9	Travis Konecny	X	X	X		100.00	68	37	69	83	69	89	80	82	58	79	86	85	84	71	73	98	46	0		0	26	2	5,000,000$
10	Michael Rasmussen	X				100.00	80	42	74	68	95	85	86	68	80	69	68	79	66	65	67	84	73	0		0	24	4	1,480,000$
11	Adam Larsson (A)				X	100.00	87	43	80	69	85	93	90	68	30	75	66	91	53	80	74	69	54	0		0	30	2	2,550,000$
12	Dylan DeMelo				X	100.00	74	35	84	65	73	90	89	64	30	73	58	88	51	73	71	39	79	0		0	30	2	2,500,000$
13	Ivan Provorov				X	100.00	66	36	89	76	78	94	90	74	30	75	66	85	56	70	67	83	79	0		0	26	4	4,750,000$
14	Jakob Chychrun				X	100.00	67	40	74	76	84	93	77	74	30	80	73	75	59	67	66	81	66	0		0	25	4	4,000,000$
15	Alexandre Carrier				X	100.00	69	36	80	65	69	90	82	62	30	76	57	89	50	67	68	51	62	0		0	26	2	750,000$
16	Andrew Peeke				X	100.00	86	43	84	64	85	92	90	65	30	69	59	90	51	65	66	74	75	0		0	25	2	750,000$
17	J.J. Moser (R)				X	100.00	63	37	86	67	72	91	87	69	30	76	65	82	55	63	64	67	62	0		0	23	1	842,500$
Rayé
1	Jason Dickinson	X	X			100.00	73	39	90	67	80	85	86	65	76	66	61	83	63	70	69	66	65	0		0	28	1	1,400,000$
Équipe Mineure
1	Devin Shore	X		X		100.00	70	37	95	67	79	74	79	63	79	67	64	70	66	71	72	55	35	0	N	0	29	4	1,999,999$
2	Adam Erne		X	X		100.00	82	71	88	65	80	82	88	64	69	67	61	66	62	70	71	64	45	0		0	28	3	1,800,000$
3	Justin Kirkland (R)		X			100.00	69	39	73	58	80	77	79	59	78	58	59	62	60	67	69	57	50	0		0	27	2	700,000$
4	Logan Brown	X				100.00	80	75	91	64	96	78	76	67	73	68	60	63	65	66	68	82	47	0		0	25	3	750,000$
5	Jack Quinn (R)			X		100.00	57	38	90	71	74	85	83	69	55	68	64	61	67	61	63	87	47	0		0	22	2	925,000$
6	Tyler Angle	X				100.00	57	36	86	65	64	80	86	63	61	58	62	59	66	63	65	49	47	0		0	23	1	842,500$
7	Ben McCartney (R)		X			100.00	79	41	67	55	71	82	79	57	58	54	55	56	60	62	64	49	50	0		0	22	1	805,000$
8	Gregory Hofmann	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	47	0		0	30	1	900,000$
9	Lauri Pajuniemi			X		100.00	65	38	88	62	74	84	82	60	63	59	61	58	62	64	66	56	47	0		0	24	1	842,500$
10	Elmer Soderblom (R)		X			100.00	83	42	86	64	99	80	67	66	56	60	65	64	66	62	63	49	50	0		0	22	2	842,500$
11	Dysin Mayo				X	100.00	77	40	84	65	77	85	84	63	30	66	60	78	52	67	69	49	36	0		0	27	2	700,000$
12	Kodie Curran				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	47	0		0	33	2	1,000,000$
13	Michael Krutil				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	47	0		0	21	1	750,000$
14	Peter DiLiberatore				X	100.00	55	37	76	55	64	70	75	54	30	55	54	52	46	63	65	49	47	0		0	23	2	925,000$
15	Eemil Viro (R)				X	100.00	58	37	91	53	67	63	68	52	30	54	52	51	45	61	63	67	50	0		0	21	2	842,500$
16	Kim Nousiainen (R)				X	100.00	63	36	95	54	63	62	67	53	30	55	52	50	45	63	65	59	50	0		0	22	2	842,500$
17	Matthew Kessel (R)				X	100.00	68	41	74	60	81	84	76	59	30	60	58	62	49	63	65	49	47	0		0	23	2	842,500$

	MOYENNE D’ÉQUIPE					100.00	68	38	84	74	80	89	86	73	56	76	71	76	67	73	71	69	68	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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	TA	SP	Âge	Contrat	Salaire
1	Braden Holtby	100.00	68	86	50	80	70	74	78	78	78	64	50	84	87	99	55	0	N	0	34	2	1,999,999$
2	Stuart Skinner (R)	100.00	69	97	91	88	72	79	82	82	83	69	90	65	73	99	58	0		0	24	3	750,000$
Rayé
Équipe Mineure
1	Dustin Tokarski	100.00	67	89	68	74	70	72	74	74	75	63	76	74	88	99	70	0		0	34	3	750,000$
2	Alex Lyon	100.00	63	99	73	78	67	70	72	72	73	58	77	71	85	99	47	0		0	30	1	750,000$
3	Arvid Holm	100.00	52	85	66	89	53	60	60	61	61	52	70	65	73	99	50	0		0	24	1	842,500$
4	Eetu Makiniemi	100.00	56	85	64	77	57	58	58	59	59	49	73	64	71	99	50	0		0	24	1	842,500$
5	Yaroslav Askarov (R)	100.00	61	85	70	79	62	63	63	64	65	55	74	61	65	85	50	0		0	21	2	925,000$

	MOYENNE D’ÉQUIPE	100.00	69	92	71	84	71	77	80	80	81	67	70	75	80	99	57	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rick Bowness	82	88	84	86	99	95	40	CAN	68	1	4,200,000$

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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	PKS	PKM	GW	FO%	FOT	P/20	FL	S1	S2	S3
1	Travis Konecny	Tampa Bay Lightning	C/LW/RW	6	2	6	8	-6	6	0	23	13	30	12	15	6.67%	0	152	25.40	0	2	2	7	24	0	6	0	58.33%	12	1.05	0	1	1	0
2	Jeff Skinner	Tampa Bay Lightning	C/LW/RW	6	1	5	6	-6	0	0	1	4	17	4	17	5.88%	0	145	24.26	0	1	1	3	24	0	0	0	71.43%	7	0.82	0	0	0	1
3	Auston Matthews	Tampa Bay Lightning	C	6	5	1	6	-6	4	0	5	19	22	6	17	22.73%	0	152	25.39	2	0	2	5	24	0	6	0	55.24%	210	0.79	0	0	1	0
4	Blake Wheeler	Tampa Bay Lightning	C/LW/RW	6	2	2	4	1	6	0	14	12	17	5	11	11.76%	2	127	21.18	1	0	1	3	19	0	2	0	49.08%	163	0.63	0	0	0	0
5	Jakob Chychrun	Tampa Bay Lightning	D	6	1	3	4	-5	8	0	12	7	6	2	2	16.67%	11	142	23.74	1	0	1	2	21	0	0	0	0%	0	0.56	0	0	0	0
6	Ivan Provorov	Tampa Bay Lightning	D	6	1	2	3	-4	6	0	10	9	9	3	8	11.11%	13	149	24.97	0	1	1	4	22	0	15	0	0%	0	0.40	0	0	0	0
7	Patrik Laine	Tampa Bay Lightning	LW/RW	6	2	1	3	1	0	0	5	8	26	7	17	7.69%	4	125	20.88	0	1	1	5	19	0	0	2	42.86%	14	0.48	0	0	0	0
8	Michael Rasmussen	Tampa Bay Lightning	C	6	2	1	3	3	2	0	7	7	7	4	8	28.57%	1	57	9.58	0	0	0	0	0	0	32	0	64.13%	92	1.04	0	0	0	0
9	J.J. Moser	Tampa Bay Lightning	D	6	1	2	3	-1	4	0	1	3	6	1	3	16.67%	1	97	16.31	0	0	0	0	1	0	1	0	0%	0	0.61	0	0	0	0
10	Dylan DeMelo	Tampa Bay Lightning	D	6	0	2	2	0	0	0	3	9	6	3	6	0%	13	135	22.57	0	2	2	3	20	0	17	0	0%	0	0.30	0	0	0	0
11	Alexandre Carrier	Tampa Bay Lightning	D	6	0	2	2	-1	8	0	8	5	3	0	1	0%	4	102	17.08	0	0	0	0	0	0	7	0	0%	0	0.39	0	0	0	0
12	Viktor Arvidsson	Tampa Bay Lightning	LW/RW	6	0	1	1	0	0	0	6	7	20	6	12	0%	1	122	20.49	0	0	0	1	15	1	6	0	80.00%	5	0.16	0	0	0	0
13	Adam Larsson	Tampa Bay Lightning	D	6	0	1	1	-1	13	5	16	4	12	4	8	0%	14	141	23.66	0	0	0	7	21	0	22	0	0%	0	0.14	1	0	0	0
14	Zemgus Girgensons	Tampa Bay Lightning	C/LW/RW	6	0	1	1	1	0	0	1	2	1	2	1	0%	0	25	4.28	0	0	0	0	0	0	9	0	66.67%	6	0.78	0	0	0	0
15	Jordan Eberle	Tampa Bay Lightning	C/RW	6	0	0	0	-4	2	0	2	6	11	2	6	0%	0	71	11.94	0	0	0	0	0	0	0	0	20.00%	5	0	0	0	0	0
16	Jason Dickinson	Tampa Bay Lightning	C/LW	6	0	0	0	-1	0	0	7	13	8	1	6	0%	1	105	17.52	0	0	0	0	0	3	27	0	33.33%	6	0	0	0	0	0
17	Pavel Zacha	Tampa Bay Lightning	C/LW	6	0	0	0	-4	0	0	4	6	14	2	7	0%	0	81	13.54	0	0	0	2	4	0	0	0	42.68%	82	0	0	0	0	0
18	Andrew Peeke	Tampa Bay Lightning	D	6	0	0	0	-2	0	0	2	0	1	0	0	0%	5	40	6.81	0	0	0	0	0	1	28	0	0%	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				108	17	30	47	-35	59	5	127	134	216	64	145	7.87%	70	1977	18.31	4	7	11	42	219	5	184	2	52.99%	602	0.48	1	1	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	GA	SA	PS %	ST	BG	S1
1	Stuart Skinner	Tampa Bay Lightning	6	2	3	1	0.906	3.35	394	22	235	0	6	0	2
2	Braden Holtby	Tampa Bay Lightning	1	0	0	0	1.000	0	10	0	2	0	0	6	0
Statistiques d’équipe totales ou en moyenne			7	2	3	1	0.907	3.27	404	22	237		6	6	2

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	Date de la Dernière Transaction	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Type	Salaire actuel	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
Adam Larsson	Tampa Bay Lightning	D	30	11/12/1992	No	209 Lbs	6 ft3	No	No	Trade	1/3/2024	No	No	2	1/3/2024	Pro & Farm	2,550,000$	2,550,000$	0$	No	2,550,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Alexandre Carrier	Tampa Bay Lightning	D	26	10/8/1996	No	174 Lbs	5 ft11	No	No	N/A		No	No	2		Pro & Farm	750,000$	750,000$	0$	No	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Andrew Peeke	Tampa Bay Lightning	D	25	3/17/1998	No	210 Lbs	6 ft3	No	No	N/A		No	No	2		Pro & Farm	750,000$	750,000$	0$	No	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Auston Matthews	Tampa Bay Lightning	C	26	9/17/1997	No	208 Lbs	6 ft3	No	No	N/A		No	No	4		Pro & Farm	7,950,000$	7,950,000$	0$	No	7,950,000$	7,950,000$	7,950,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Blake Wheeler	Tampa Bay Lightning	C/LW/RW	37	7/28/1986	No	220 Lbs	6 ft5	No	No	N/A		No	No	2		Pro & Farm	6,500,000$	6,500,000$	0$	No	6,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Braden Holtby	Tampa Bay Lightning	G	34	9/16/1989	No	215 Lbs	6 ft1	Yes	No	N/A		No	No	2		Pro & Farm	1,999,999$	1,999,999$	0$	No	1,999,999$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Lien
Dylan DeMelo	Tampa Bay Lightning	D	30	5/1/1993	No	195 Lbs	6 ft0	No	No	N/A		No	No	2		Pro & Farm	2,500,000$	2,500,000$	0$	No	2,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Ivan Provorov	Tampa Bay Lightning	D	26	1/13/1997	No	201 Lbs	6 ft1	No	No	N/A		No	No	4		Pro & Farm	4,750,000$	4,750,000$	0$	No	4,750,000$	4,750,000$	4,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
J.J. Moser	Tampa Bay Lightning	D	23	6/6/2000	Yes	173 Lbs	6 ft1	No	No	N/A		No	No	1		Pro & Farm	842,500$	842,500$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Jakob Chychrun	Tampa Bay Lightning	D	25	3/31/1998	No	220 Lbs	6 ft2	No	No	N/A		No	No	4		Pro & Farm	4,000,000$	4,000,000$	0$	No	4,000,000$	4,000,000$	4,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Jason Dickinson	Tampa Bay Lightning	C/LW	28	7/4/1995	No	200 Lbs	6 ft2	No	No	N/A		No	No	1		Pro & Farm	1,400,000$	1,400,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Jeff Skinner	Tampa Bay Lightning	C/LW/RW	31	5/16/1992	No	197 Lbs	5 ft11	No	No	N/A		No	No	3		Pro & Farm	10,000,000$	10,000,000$	0$	No	10,000,000$	10,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Jordan Eberle	Tampa Bay Lightning	C/RW	33	5/15/1990	No	190 Lbs	5 ft11	No	No	N/A		No	No	1		Pro & Farm	4,750,000$	4,750,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Michael Rasmussen	Tampa Bay Lightning	C	24	4/17/1999	No	211 Lbs	6 ft6	No	No	N/A		No	No	4		Pro & Farm	1,480,000$	1,480,000$	0$	No	1,480,000$	1,480,000$	1,480,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Patrik Laine	Tampa Bay Lightning	LW/RW	25	4/19/1998	No	205 Lbs	6 ft5	No	No	N/A		No	No	2		Pro & Farm	7,500,000$	7,500,000$	0$	No	7,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Pavel Zacha	Tampa Bay Lightning	C/LW	26	4/6/1997	No	199 Lbs	6 ft4	No	No	N/A		No	No	2		Pro & Farm	2,000,000$	2,000,000$	0$	No	2,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Stuart Skinner	Tampa Bay Lightning	G	24	11/1/1998	Yes	206 Lbs	6 ft4	No	No	Trade	1/26/2024	No	No	3		Pro & Farm	750,000$	750,000$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Travis Konecny	Tampa Bay Lightning	C/LW/RW	26	3/11/1997	No	175 Lbs	5 ft10	No	No	N/A		No	No	2		Pro & Farm	5,000,000$	5,000,000$	0$	No	5,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Viktor Arvidsson	Tampa Bay Lightning	LW/RW	30	4/8/1993	No	185 Lbs	5 ft10	No	No	N/A		No	No	1		Pro & Farm	4,250,000$	4,250,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Zemgus Girgensons	Tampa Bay Lightning	C/LW/RW	29	1/5/1994	No	200 Lbs	6 ft2	Yes	No	N/A		No	No	4		Pro & Farm	2,600,000$	2,600,000$	0$	No	2,600,000$	2,600,000$	2,600,000$	-	-	-	-	-	-	Yes	Yes	Yes	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
20	27.90	200 Lbs	6 ft2	2.40	3,616,125$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
72,322,499$	61,079,999$	31,530,000$	20,780,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Travis Konecny	Auston Matthews	Jeff Skinner	40	0	2	3
2	Pavel Zacha	Blake Wheeler	Patrik Laine	34	0	3	2
3		Michael Rasmussen	Viktor Arvidsson	21	0	3	2
4	Viktor Arvidsson	Zemgus Girgensons	Jordan Eberle	5	0	5	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ivan Provorov	Adam Larsson	35	0	2	3
2	Jakob Chychrun	Dylan DeMelo	31	0	3	2
3	J.J. Moser	Alexandre Carrier	29	0	4	1
4	Jakob Chychrun	Andrew Peeke	5	0	4	1

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Travis Konecny	Auston Matthews	Jeff Skinner	65	0	0	5
2	Pavel Zacha	Blake Wheeler	Patrik Laine	35	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ivan Provorov	Jakob Chychrun	50	0	1	4
2	Adam Larsson	Dylan DeMelo	50	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Michael Rasmussen		65	1	4	0
2	Auston Matthews	Travis Konecny	35	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Adam Larsson	Andrew Peeke	65	1	4	0
2	Ivan Provorov	Dylan DeMelo	35	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1		60	0	5	0	Adam Larsson	Andrew Peeke	60	0	5	0
2	Michael Rasmussen	40	0	5	0	Ivan Provorov	Dylan DeMelo	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Auston Matthews	Travis Konecny	60	0	1	4
2	Jeff Skinner	Patrik Laine	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ivan Provorov	Jakob Chychrun	60	0	2	3
2	Dylan DeMelo	Adam Larsson	40	0	2	3

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Travis Konecny	Auston Matthews	Jeff Skinner	Ivan Provorov	Adam Larsson

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Auston Matthews	Travis Konecny	Ivan Provorov	Adam Larsson

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Viktor Arvidsson, , Jordan Eberle	Viktor Arvidsson, Jordan Eberle	Zemgus Girgensons

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Andrew Peeke, Jakob Chychrun, J.J. Moser	J.J. Moser	Alexandre Carrier, J.J. Moser

Tirs de pénalité
Auston Matthews, Jeff Skinner, Patrik Laine, Travis Konecny, Viktor Arvidsson

Gardien
#1 : Stuart Skinner, #2 : Braden Holtby

Lignes d’attaque personnalisées en prolongation
Auston Matthews, Jeff Skinner, Travis Konecny, Blake Wheeler, Viktor Arvidsson, Patrik Laine, Patrik Laine, Pavel Zacha, , Michael Rasmussen, Zemgus Girgensons

Lignes de défense personnalisées en prolongation
Adam Larsson, Ivan Provorov, Dylan DeMelo, Jakob Chychrun, J.J. Moser

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	Ottawa Senators	6	2	4	0	0	0	0	0	17	22	-5	3	2	1	0	0	0	0	0	10	10	0	3	0	3	0	0	0	0	0	7	12	-5	4	0.333	17	30	47	0	0	5	6	5	1	216	51	88	52	25	237	70	59	127	24	4	16.67%	26	2	92.31%	0	137	262	52.29%	131	245	53.47%	51	95	53.68%	161	110	158	48	85	43
	Total	6	2	4	0	0	0	0	0	17	22	-5	3	2	1	0	0	0	0	0	10	10	0	3	0	3	0	0	0	0	0	7	12	-5	4	0.333	17	30	47	0	0	5	6	5	1	216	51	88	52	25	237	70	59	127	24	4	16.67%	26	2	92.31%	0	137	262	52.29%	131	245	53.47%	51	95	53.68%	161	110	158	48	85	43
	_Since Last GM Reset	6	2	4	0	0	0	0	0	17	22	-5	3	2	1	0	0	0	0	0	10	10	0	3	0	3	0	0	0	0	0	7	12	-5	4	0.333	17	30	47	0	0	5	6	5	1	216	51	88	52	25	237	70	59	127	24	4	16.67%	26	2	92.31%	0	137	262	52.29%	131	245	53.47%	51	95	53.68%	161	110	158	48	85	43
	_Vs Conference	6	2	4	0	0	0	0	0	17	22	-5	3	2	1	0	0	0	0	0	10	10	0	3	0	3	0	0	0	0	0	7	12	-5	4	0.333	17	30	47	0	0	5	6	5	1	216	51	88	52	25	237	70	59	127	24	4	16.67%	26	2	92.31%	0	137	262	52.29%	131	245	53.47%	51	95	53.68%	161	110	158	48	85	43
	_Vs Division	6	2	4	0	0	0	0	0	17	22	-5	3	2	1	0	0	0	0	0	10	10	0	3	0	3	0	0	0	0	0	7	12	-5	4	0.333	17	30	47	0	0	5	6	5	1	216	51	88	52	25	237	70	59	127	24	4	16.67%	26	2	92.31%	0	137	262	52.29%	131	245	53.47%	51	95	53.68%	161	110	158	48	85	43

			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	17	30	47	216	237	70	59	127	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	17	22

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	10	10

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	7	12

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
1	3	1	1	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
24	4	16.67%	26	2	92.31%	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
51	88	52	25	5	6	5	1

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
137	262	52.29%	131	245	53.47%	51	95	53.68%

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
161	110	158	48	85	43

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	Lien
1	2	Ottawa Senators	4	Tampa Bay Lightning	5	BW	X	Sommaire du match
3	10	Ottawa Senators	3	Tampa Bay Lightning	4	BW		Sommaire du match
5	18	Tampa Bay Lightning	1	Ottawa Senators	2	AL		Sommaire du match
7	26	Tampa Bay Lightning	5	Ottawa Senators	6	AL	X	Sommaire du match
9	34	Ottawa Senators	3	Tampa Bay Lightning	1	BL		Sommaire du match
11	42	Tampa Bay Lightning	1	Ottawa Senators	4	AL		Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6200	5200	3100	4000	1000
Prix des billets	95	55	31	20	205
Assistance	18,600	15,600	9,300	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
38	19500 - 100.00%	1,833,906$	5,501,718$	19500	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$	72,322,499$	68,632,020$	0$	1,000,000$

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$	56,764,512$	56,764,512$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	82,500,000$	82,500,000$	-61,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Travis Konecny	AGE:26	PO:98	OV:0
Patrik Laine	AGE:25	PO:87	OV:0
Pavel Zacha	AGE:26	PO:84	OV:0
Jeff Skinner	AGE:31	PO:68	OV:0
Zemgus Girgensons	AGE:29	PO:68	OV:0
Jason Dickinson	AGE:28	PO:66	OV:0
Adam Erne	AGE:28	PO:64	OV:0
Justin Kirkland (R)	AGE:27	PO:57	OV:0
Ben McCartney (R)	AGE:22	PO:49	OV:0
Elmer Soderblom (R)	AGE:22	PO:49	OV:0
Viktor Arvidsson	AGE:30	PO:48	OV:0
Blake Wheeler	AGE:37	PO:40	OV:0

Travis Konecny	AGE:26	PO:98	OV:0
Auston Matthews	AGE:26	PO:87	OV:0
Pavel Zacha	AGE:26	PO:84	OV:0
Michael Rasmussen	AGE:24	PO:84	OV:0
Logan Brown	AGE:25	PO:82	OV:0
Jeff Skinner	AGE:31	PO:68	OV:0
Zemgus Girgensons	AGE:29	PO:68	OV:0
Jason Dickinson	AGE:28	PO:66	OV:0
Devin Shore	AGE:29	PO:55	OV:0
Jordan Eberle	AGE:33	PO:49	OV:0
Tyler Angle	AGE:23	PO:49	OV:0
Blake Wheeler	AGE:37	PO:40	OV:0
Gregory Hofmann	AGE:30	PO:11	OV:0

Travis Konecny	AGE:26	PO:98	OV:0
Patrik Laine	AGE:25	PO:87	OV:0
Jack Quinn (R)	AGE:22	PO:87	OV:0
Jeff Skinner	AGE:31	PO:68	OV:0
Zemgus Girgensons	AGE:29	PO:68	OV:0
Adam Erne	AGE:28	PO:64	OV:0
Lauri Pajuniemi	AGE:24	PO:56	OV:0
Devin Shore	AGE:29	PO:55	OV:0
Jordan Eberle	AGE:33	PO:49	OV:0
Viktor Arvidsson	AGE:30	PO:48	OV:0
Blake Wheeler	AGE:37	PO:40	OV:0

Défense #1

Défense #2

Gardien

Ivan Provorov	AGE:26	PO:83	OV:0
Jakob Chychrun	AGE:25	PO:81	OV:0
Andrew Peeke	AGE:25	PO:74	OV:0
Adam Larsson	AGE:30	PO:69	OV:0
J.J. Moser (R)	AGE:23	PO:67	OV:0
Eemil Viro (R)	AGE:21	PO:67	OV:0
Kim Nousiainen (R)	AGE:22	PO:59	OV:0

Alexandre Carrier	AGE:26	PO:51	OV:0
Dysin Mayo	AGE:27	PO:49	OV:0
Peter DiLiberatore	AGE:23	PO:49	OV:0
Matthew Kessel (R)	AGE:23	PO:49	OV:0
Dylan DeMelo	AGE:30	PO:39	OV:0
Kodie Curran	AGE:33	PO:11	OV:0
Michael Krutil	AGE:21	PO:11	OV:0

Dustin Tokarski	AGE:34	PO:99	OV:0
Braden Holtby	AGE:34	PO:99	OV:0
Alex Lyon	AGE:30	PO:99	OV:0
Stuart Skinner (R)	AGE:24	PO:99	OV:0
Arvid Holm	AGE:24	PO:99	OV:0
Eetu Makiniemi	AGE:24	PO:99	OV:0
Yaroslav Askarov (R)	AGE:21	PO:85	OV:0

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
Adam Sykora	Tampa Bay Lightning	0	0
Aidan Thompson	Tampa Bay Lightning	0	0
Aleski Malinen	Tampa Bay Lightning	0	0
Alex Jefferies	Tampa Bay Lightning	0	0
Andre Gasseau	Tampa Bay Lightning	0	0
Arvid Costmar	Tampa Bay Lightning	0	0
Austen Swankler	Tampa Bay Lightning	0	0
Axel Rindell	Tampa Bay Lightning	0	0
Ben Zloty	Tampa Bay Lightning	0	0
Bogdan Trineyev	Tampa Bay Lightning	0	0
Collin Graf	Tampa Bay Lightning	0	0
Danila Zhuravlyov	Tampa Bay Lightning	0	0
Dans Locmelis	Tampa Bay Lightning	0	0
David Tendeck	Tampa Bay Lightning	0	0
Guillaume Richard	Tampa Bay Lightning	0	0
Haakon Hanelt	Tampa Bay Lightning	0	0
Ilya Safonov	Tampa Bay Lightning	0	0
Jack O'Brien (2003)	Tampa Bay Lightning	0	0
Jackson Hallum	Tampa Bay Lightning	0	0
Joshua Maniscalco	Tampa Bay Lightning	0	0
Justin Janicke	Tampa Bay Lightning	0	0
Leo Loof	Tampa Bay Lightning	0	0
Liam Dower Nilsson	Tampa Bay Lightning	0	0
Linus Soderstrom	Tampa Bay Lightning	0	0
Lorenzo Canonica	Tampa Bay Lightning	0	0
Luke Reid	Tampa Bay Lightning	0	0
Magnus Chrona	Tampa Bay Lightning	0	0
Martin Chromiak	Tampa Bay Lightning	0	0
Mason Lohrei	Tampa Bay Lightning	0	0
Matias Rajaniemi	Tampa Bay Lightning	0	0
Maxim Groshev	Tampa Bay Lightning	0	0
Michael Callahan	Tampa Bay Lightning	0	0
Mitchell Gibson	Tampa Bay Lightning	0	0
Nikita Grebyonkin	Tampa Bay Lightning	0	0
Oskar Magnusson	Tampa Bay Lightning	0	0
Patrik Koch	Tampa Bay Lightning	0	0
Ryan McAllister	Tampa Bay Lightning	0	0
Sean Tschigerl	Tampa Bay Lightning	0	0
Uvis Balinskis	Tampa Bay Lightning	0	0
Veeti Miettinen	Tampa Bay Lightning	0	0
Vsevolod Skotnikov	Tampa Bay Lightning	0	0
Waltteri Merela	Tampa Bay Lightning	0	0
William Stromgren	Tampa Bay Lightning	0	0
William Wallinder	Tampa Bay Lightning	0	0
Zach Uens	Tampa Bay Lightning	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
21			CAL LAK	DAL	TAM MTL	CAL	TAM
22	TAM	TAM	TAM	TAM	TAM		TAM
23	TAM	TAM	TAM	TAM	TAM	TAM	TAM
24	TAM	TAM	TAM	TAM	TAM	TAM	TAM
25	TAM	TAM	TAM	TAM	TAM	TAM	TAM
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 ou du STHS.

Tampa Bay Lightning Historique de transactions

[4/15/2024 8:04:23 PM] - Tampa Bay Lightning was eliminated at round 1 of year 20.
[4/11/2024 8:11:33 PM] - Syracuse Crunch was eliminated at round 1 of year 20.
[2/18/2024 7:18:50 AM] - New Record for Team's Most Points (26) in 1 Game for Tampa Bay Lightning!
[2/18/2024 7:18:50 AM] - New Record for Team's Most Assists (17) in 1 Game for Tampa Bay Lightning!
[2/4/2024 8:40:17 PM] - TRADE : From Tampa Bay Lightning to Calgary Flames : Jamie Oleksiak.
[2/4/2024 8:40:17 PM] - TRADE : From Calgary Flames to Tampa Bay Lightning : Y:21-RND:3-CAL, Y:21-RND:4-DAL, Y:21-RND:5-MTL, Y:21-RND:6-CAL.
[1/28/2024 8:18:47 PM] - TRADE : From Arizona Coyotes to Tampa Bay Lightning : Alex Lyon, Jamie Oleksiak.
[1/28/2024 8:18:47 PM] - TRADE : From Tampa Bay Lightning to Arizona Coyotes : Sergei Bobrovsky.
[1/26/2024 8:43:59 PM] - TRADE : From Tampa Bay Lightning to Vegas Golden Knights : Juuso Parssinen, Helge Grans, Riley Kidney (P), Sergei Murashov (P), $2,000,000 (Money), Y:21-RND:1-TAM.
[1/26/2024 8:43:59 PM] - TRADE : From Vegas Golden Knights to Tampa Bay Lightning : Stuart Skinner, Y:21-RND:3-LAK.
[1/25/2024 8:01:38 PM] - New Record for Team's Most Points (25) in 1 Game for Tampa Bay Lightning!
[1/25/2024 8:01:38 PM] - New Record for Team's Most Assists (16) in 1 Game for Tampa Bay Lightning!
[1/25/2024 8:01:38 PM] - New Record for Team's Most Goals (9) in 1 Game for Tampa Bay Lightning!
[1/6/2024 8:42:35 PM] - Ryan Carpenter was released.
[1/6/2024 8:42:35 PM] - Tampa Bay Lightning paid $0 to release Ryan Carpenter.
[1/4/2024 8:03:29 PM] - Blake Wheeler has been selected as assistant for Tampa Bay Lightning.
[1/4/2024 8:03:29 PM] - Unknown Player is no longer as assistant for Tampa Bay Lightning.
[1/4/2024 8:03:29 PM] - Adam Larsson has been selected as assistant for Tampa Bay Lightning.
[1/4/2024 8:03:29 PM] - Patrik Laine is no longer as assistant for Tampa Bay Lightning.
[1/4/2024 8:03:29 PM] - Auston Matthews has been selected as captain for Tampa Bay Lightning.
[1/4/2024 8:03:29 PM] - Pavel Zacha is no longer captain for Tampa Bay Lightning.
[1/3/2024 8:16:53 PM] - TRADE : From Tampa Bay Lightning to Toronto Maple Leafs : Massimo Rizzo (P), Aku Raty (P).
[1/3/2024 8:16:53 PM] - TRADE : From Toronto Maple Leafs to Tampa Bay Lightning : Adam Larsson.
[10/3/2023 3:45:00 PM] - Lauri Pajuniemi has been deleted from Tampa Bay Lightning.
[10/3/2023 3:44:43 PM] - Janis Jerome Moser has been deleted from Tampa Bay Lightning.
[10/3/2023 3:44:21 PM] - Helge Grans has been deleted from Tampa Bay Lightning.
[10/3/2023 3:44:13 PM] - Gregory Hofmann has been deleted from Tampa Bay Lightning.
[10/3/2023 3:44:05 PM] - Eetu Makiniemi has been deleted from Tampa Bay Lightning.
[10/3/2023 3:43:42 PM] - Ben McCartney has been deleted from Tampa Bay Lightning.
[10/3/2023 3:43:36 PM] - Arvid Holm has been deleted from Tampa Bay Lightning.
[10/3/2023 10:18:52 AM] - TRADE : From San Jose Sharks to Tampa Bay Lightning : Blake Wheeler.
[10/3/2023 10:18:52 AM] - TRADE : From Tampa Bay Lightning to San Jose Sharks : Y:21-RND:2-TAM, Y:21-RND:4-TAM.
[10/1/2023 9:18:33 PM] - Adam Wilcox was released.
[10/1/2023 9:18:33 PM] - Tampa Bay Lightning paid $0 to release Adam Wilcox.
[10/1/2023 9:18:22 PM] - Maxim Musorov has been deleted from Tampa Bay Lightning.
[10/1/2023 9:18:16 PM] - Rhett Rhinehart has been deleted from Tampa Bay Lightning.
[10/1/2023 9:18:12 PM] - Mikael Wikstrand has been deleted from Tampa Bay Lightning.
[10/1/2023 9:17:20 PM] - TRADE : From Tampa Bay Lightning to San Jose Sharks : Philip Broberg.
[10/1/2023 8:49:05 PM] - TRADE : From Vegas Golden Knights to Tampa Bay Lightning : Maxim Groshev (P).
[10/1/2023 8:49:05 PM] - TRADE : From Tampa Bay Lightning to Vegas Golden Knights : Erik Gudbranson, Jimmy Vesey, Y:22-RND:6-TAM.
[10/1/2023 8:46:48 PM] - TRADE : From Tampa Bay Lightning to Boston Bruins : Brenden Dillon.
[10/1/2023 8:46:48 PM] - TRADE : From Boston Bruins to Tampa Bay Lightning : Erik Gudbranson.
[10/1/2023 8:45:19 PM] - TRADE : From Arizona Coyotes to Tampa Bay Lightning : Ivan Provorov.
[10/1/2023 8:45:19 PM] - TRADE : From Tampa Bay Lightning to Arizona Coyotes : Alexander Nikishin (P).

[4/25/2024 8:02:43 PM] Jason Dickinson from Tampa Bay Lightning is back from Fractured Bone in Left Hand Injury.
[4/15/2024 8:04:23 PM] Game 42 - Jason Dickinson from Tampa Bay Lightning is injured (Fractured Bone in Left Hand) and is out for 2 weeks.
[4/15/2024 8:04:19 PM] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database from IP:135.19.128.28 .
[4/15/2024 8:04:12 PM] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database from IP:135.19.128.28 .
[4/13/2024 8:27:59 PM] Matthew Kessel from Syracuse Crunch is back from Bruised Left Arm Injury.
[4/11/2024 8:11:33 PM] 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.
[4/9/2024 8:26:08 PM] 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.
[4/9/2024 8:26:08 PM] Game 20 - Matthew Kessel from Syracuse Crunch is injured (Bruised Left Arm) and is out for 1 week.
[4/7/2024 8:03:38 PM] 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.
[4/5/2024 8:04:08 PM] 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.
[4/5/2024 12:14:08 AM] Successfully loaded Tampa Bay Lightning lines done with Web Base Client and SQLite Database from IP:70.29.226.61 .

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: 17 \| GA: 22 \| PP%: 16.67% \| PK%: 92.31% DG: Remi Baril \| Morale : 99 \| Moyenne d’équipe : N/A