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

Centre de jeu
	Washington Capitals 43-22-9, 95pts	2	FINAL	4	Tampa Bay Lightning 31-35-9, 71pts

Team Stats
W1	Séquence	SOL1
22-10-5	Fiche domicile	14-19-5
21-12-4	Fiche visiteur	17-16-4
7-2-1	Derniers 10 matchs	3-5-2
3.35	Buts par match	2.96
2.82	Buts contre par match	3.41
16.28%	Pourcentage en avantage numérique	18.24%
82.14%	Pourcentage en désavantage numérique	75.87%

Seattle Kraken
28-37-7, 63pts

FINAL

Tampa Bay Lightning
31-35-9, 71pts

Team Stats
W1	Séquence	SOL1
15-18-5	Fiche domicile	14-19-5
13-19-2	Fiche visiteur	17-16-4
5-4-1	Derniers 10 matchs	3-5-2
3.10	Buts par match	2.96
3.53	Buts contre par match	3.41
23.03%	Pourcentage en avantage numérique	18.24%
81.64%	Pourcentage en désavantage numérique	75.87%

San Jose Sharks
37-32-6, 80pts

Jour 139

Tampa Bay Lightning
31-35-9, 71pts

Statistiques d’équipe
W6	Séquence	SOL1
21-12-5	Fiche domicile	14-19-5
16-20-1	Fiche visiteur	17-16-4
8-1-1	10 derniers matchs	3-5-2
2.99	Buts par match	2.96
3.09	Buts contre par match	2.96
19.03%	Pourcentage en avantage numérique	18.24%
79.60%	Pourcentage en désavantage numérique	75.87%

Tampa Bay Lightning
31-35-9, 71pts

Jour 140

New York Rangers
43-21-9, 95pts

Statistiques d’équipe
SOL1	Séquence	W1
14-19-5	Fiche domicile	21-12-5
17-16-4	Fiche visiteur	22-9-4
3-5-2	10 derniers matchs	6-3-1
2.96	Buts par match	3.11
3.41	Buts contre par match	3.11
18.24%	Pourcentage en avantage numérique	22.01%
75.87%	Pourcentage en désavantage numérique	80.38%

Tampa Bay Lightning
31-35-9, 71pts

Jour 142

Florida Panthers
32-29-14, 78pts

Statistiques d’équipe
SOL1	Séquence	L1
14-19-5	Fiche domicile	17-12-8
17-16-4	Fiche visiteur	15-17-6
3-5-2	10 derniers matchs	1-7-2
2.96	Buts par match	2.88
3.41	Buts contre par match	2.88
18.24%	Pourcentage en avantage numérique	21.15%
75.87%	Pourcentage en désavantage numérique	80.91%

Meneurs d'équipe
	Buts Nikita Kucherov 32	Passes Brayden Point 38

	Points Nikita Kucherov 67	Plus/Moins Dylan Strome 15

	Victoires Andrei Vasilevskiy 29	Pourcentage d’arrêts Andrei Vasilevskiy 0.899

Statistiques d’équipe
Buts pour 222 2.96 GFG	Tirs pour 2257 30.09 Avg	Pourcentage en avantage numérique 18.2% 56 GF	Début de zone offensive 36.9%
Buts contre 256 3.41 GAA	Tirs contre 2295 30.60 Avg	Pourcentage en désavantage numérique 75.9%% 83 GA	Début de la zone défensive 38.5%

Informations de l'équipe
	Directeur général	Mårten Corneliusson
	Entraîneur	Mårten Corneliusson
	Division	Atlantic Division
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2	Anton Stralman
Informations de l’aréna
	Nom	Arena
	Capacité	22,000
	Assistance	20,791
	Billets de saison	11,000
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	24
	Limite contact	45 / 60
	Espoirs	22
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	80,870,833$
	Plafond salarial disponible	1,629,167$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	59,804,950$
	Dépenses annuelles à ce jour	72,872,608$
	Revenus de la saison estimés	4,721,443$
	Dépenses de la saison estimées	8,617,984$
	Compte bancaire actuel	67,450,726$
	Compte bancaire projeté	63,595,106$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Nikita Kucherov	0			X		100.00	69	42	87	90	66	84	82	96	25	99	90	59	25	80	86	79	74	82	0	30	2	9,500,000$
2	Brayden Point	0	X		X		100.00	64	51	98	96	61	89	91	96	84	87	97	61	63	75	78	83	65	82	0	27	4	9,500,000$
3	Steven Stamkos	0	X	X	X		100.00	77	44	84	84	75	80	98	94	91	89	91	63	61	88	93	80	68	81	0	33	2	8,500,000$
4	Andre Burakovsky	0		X	X		100.00	61	42	92	87	77	84	82	79	25	84	80	61	38	78	81	72	72	76	0	28	4	5,500,000$
5	Dylan Strome	0	X				100.00	58	41	91	79	76	74	92	82	86	84	79	62	25	73	72	73	68	73	0	26	1	3,500,000$
6	Jakub Vrana	0		X	X		100.00	67	42	89	86	81	68	56	74	34	65	94	59	53	70	69	73	58	72	0	27	2	5,250,000$
7	Taylor Raddysh	0	X		X		100.00	76	44	94	75	74	74	98	88	48	70	79	61	25	64	63	70	67	71	0	25	2	758,333$
8	Mathieu Joseph	0		X	X		100.00	78	44	83	84	71	72	80	63	34	71	56	80	75	69	69	65	54	69	0	26	4	2,950,000$
9	Ross Colton	0	X	X			100.00	88	58	84	79	75	63	97	70	62	65	71	64	79	66	68	68	63	68	0	27	1	1,125,000$
10	Andy Andreoff	0	X	X			100.00	74	74	74	70	79	81	85	67	79	58	69	67	67	68	67	66	58	67	0	32	2	775,000$
11	Logan Shaw	0	X		X		100.00	79	77	86	73	77	69	70	65	80	66	60	68	59	69	63	63	51	66	0	31	1	775,000$
12	Brendan Lemieux	0		X	X		100.00	94	99	55	83	80	56	75	56	45	61	54	58	75	69	69	59	43	65	0	27	1	1,350,000$
13	Mikhail Sergachev	0				X	100.00	82	55	80	87	86	89	96	82	25	79	59	86	25	78	77	69	69	78	0	25	1	4,800,000$
14	Devon Toews	0				X	100.00	77	44	90	83	71	92	95	76	25	73	52	89	75	72	74	67	56	75	0	29	2	4,100,000$
15	Erik Cernak	0				X	100.00	95	58	77	82	85	78	80	60	25	54	49	89	25	70	74	63	49	73	0	26	1	2,950,000$
16	Ryan McDonagh	0				X	100.00	73	44	91	86	77	84	88	58	25	58	51	96	25	84	92	63	55	73	0	34	2	6,750,000$
17	Robert Bortuzzo	0				X	100.00	79	58	82	74	82	60	75	57	25	45	48	82	25	74	76	57	41	67	0	34	2	750,000$
18	Nick Seeler	0				X	100.00	81	78	79	68	81	70	77	60	25	49	46	77	25	62	61	57	54	66	0	30	2	750,000$
Rayé
1	Cal Foote	0				X	100.00	77	85	62	65	80	66	73	64	25	50	47	77	25	62	63	58	19	65	0	25	1	850,000$
Équipe Mineure
1	Martin Frk	0			X		100.00	77	77	68	74	77	78	81	68	50	64	68	65	65	53	53	65	60	64	0	30	1	760,000$
2	Boris Katchouk	0		X			100.00	79	55	87	73	68	62	77	67	31	67	60	74	25	61	61	63	37	64	0	25	2	758,333$
3	Alex Barre-Boulet	0	X				100.00	65	59	77	73	59	84	88	70	49	73	66	58	61	49	49	63	53	64	0	26	2	758,333$
4	Gemel Smith	0	X	X	X		100.00	63	70	34	72	70	59	57	70	81	67	69	59	61	59	59	61	77	62	0	29	1	750,000$
5	Jack Finley (R)	0	X				100.00	82	82	77	66	85	75	81	53	68	46	58	61	54	47	47	57	72	60	0	21	3	797,500$
6	Jimmy Huntington	0	X				100.00	72	72	70	67	73	69	72	59	75	59	56	59	54	47	47	58	62	59	0	25	1	750,000$
7	Gage Goncalves (R)	0	X				100.00	68	62	84	66	65	82	87	61	50	63	55	60	53	47	47	59	22	59	0	22	2	820,000$
8	Gabriel Fortier (R)	0	X	X			100.00	70	62	87	69	65	85	92	57	50	54	56	59	53	48	48	59	52	58	0	23	1	791,667$
9	Cole Koepke	0	X	X	X		100.00	84	45	96	64	73	53	85	55	25	52	59	62	25	48	48	58	46	58	0	25	1	842,500$
10	Ty Glover (R)	0	X				100.00	80	76	90	70	79	59	62	48	63	44	49	61	48	47	47	54	67	57	0	23	3	900,000$
11	Nikita Pavlychev	0	X				100.00	78	80	85	59	80	41	39	46	61	45	44	61	44	47	47	50	41	54	0	26	1	750,000$
12	Zach Solow	0			X		100.00	62	61	73	61	62	45	45	45	60	41	44	52	45	47	47	48	40	49	0	25	1	750,000$
13	Darren Raddysh	0				X	100.00	79	44	92	67	73	70	83	61	25	50	50	65	25	58	58	57	41	61	0	27	2	762,500$
14	Sean Day	0				X	100.00	85	88	75	67	89	76	84	47	25	40	38	64	37	47	47	51	68	61	0	25	1	750,000$
15	Declan Carlile (R)	0				X	100.00	74	71	84	73	74	57	59	50	25	40	44	59	43	47	47	52	61	56	0	23	2	855,000$
16	Jack Thompson (R)	0				X	100.00	72	65	92	67	68	76	84	48	25	39	41	57	40	47	47	51	43	56	0	21	3	828,333$
17	Daniel Walcott	0				X	100.00	59	60	59	65	60	76	81	56	50	52	54	52	53	47	47	55	31	54	0	29	1	750,000$
18	Alex Kannok Leipert (R)	0				X	100.00	66	70	60	71	71	57	61	44	25	33	38	54	37	46	46	47	20	52	0	23	1	750,000$
19	Milos Kelemen (R)	0			X		100.00	84	89	56	63	64	50	75	54	34	50	58	67	25	45	45	60	20	56	0	24	2	850,000$
20	Mitch Reinke	0				X	100.00	74	66	94	63	66	55	56	53	25	52	39	61	37	44	44	54	20	55	0	27	1	750,000$
21	Alex Green	0				X	100.00	72	73	68	63	73	52	54	46	25	37	40	59	38	44	44	50	20	53	0	25	1	750,000$

	MOYENNE D’ÉQUIPE						100.00	75	63	80	74	74	70	77	64	45	59	59	66	45	60	61	61	51	65

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Andrei Vasilevskiy	0	97.00	84	91	88	84	83	84	72	84	85	84	95	77	77	80	74	81	0	29	2	9,500,000$
2	Thomas Greiss	0	100.00	59	78	77	88	64	55	68	62	63	61	92	69	70	62	61	65	0	37	1	937,500$
Rayé
Équipe Mineure
1	Hugo Alnefelt (R)	0	100.00	54	47	59	74	56	58	54	59	58	58	30	44	44	56	59	56	0	22	2	850,833$
2	Keith Petruzzelli (R)	0	100.00	58	41	51	83	64	55	51	59	57	57	30	47	47	52	61	56	0	24	2	950,000$
3	Evan Cormier (R)	0	100.00	58	56	54	60	55	53	60	58	57	55	57	44	44	58	20	54	0	26	1	750,000$

	MOYENNE D’ÉQUIPE		99.40	63	63	66	78	64	61	61	64	64	63	61	56	56	62	55	62

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Mårten Corneliusson	60	60	60	60	99	60	50	SWE	35	2	1,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nikita Kucherov	Tampa Bay Lightning	RW	75	32	35	67	0	39	5	98	78	248	73	153	12.90%	21	1339	17.86	11	9	20	40	241	0	0	0	2	59	3	2	29.11%	79	72	18	0	0	1.00	2	9	0	0	0	9	3	2
2	Steven Stamkos	Tampa Bay Lightning	C/LW/RW	75	26	35	61	-2	55	5	122	84	210	67	131	12.38%	31	1400	18.67	9	15	24	32	236	0	0	0	6	117	4	1	54.22%	332	53	17	0	0	0.87	4	9	0	0	0	2	7	3
3	Taylor Raddysh	Tampa Bay Lightning	C/RW	75	24	33	57	6	6	0	72	65	187	52	114	12.83%	13	1102	14.70	6	10	16	31	219	0	0	0	0	0	0	1	30.99%	142	34	13	0	1	1.03	0	0	0	0	0	2	2	2
4	Brayden Point	Tampa Bay Lightning	C/RW	75	18	38	56	-5	9	5	57	96	213	59	150	8.45%	29	1352	18.03	3	15	18	17	242	0	0	0	3	40	0	2	51.18%	1477	70	15	0	1	0.83	1	2	0	0	1	3	4	1
5	Andre Burakovsky	Tampa Bay Lightning	LW/RW	75	25	24	49	11	21	5	81	61	171	53	108	14.62%	18	1300	17.34	10	8	18	21	240	0	0	0	0	46	3	0	36.23%	69	33	22	0	1	0.75	1	1	0	0	1	4	1	5
6	Dylan Strome	Tampa Bay Lightning	C	75	16	25	41	15	22	0	44	87	143	49	104	11.19%	24	1061	14.15	2	7	9	5	41	0	0	0	0	14	2	0	54.07%	1019	21	12	0	0	0.77	0	0	0	0	0	4	2	4
7	Jakub Vrana	Tampa Bay Lightning	LW/RW	75	15	17	32	-6	18	0	77	46	137	39	77	10.95%	24	1121	14.96	6	7	13	31	244	0	0	0	0	0	1	0	26.67%	75	33	18	0	0	0.57	0	0	0	0	0	1	2	0
8	Mikhail Sergachev	Tampa Bay Lightning	D	75	8	23	31	-2	110	10	117	128	122	44	45	6.56%	109	1842	24.56	4	6	10	16	248	0	0	0	8	248	5	0	0%	0	30	68	0	0	0.34	0	0	0	1	1	0	2	3
9	Ross Colton	Tampa Bay Lightning	C/LW	75	11	15	26	3	17	5	80	58	161	48	90	6.83%	25	894	11.93	0	0	0	0	0	0	0	0	9	153	2	3	42.02%	119	38	21	0	0	0.58	2	11	0	0	1	1	3	1
10	Devon Toews	Tampa Bay Lightning	D	75	5	19	24	-10	34	0	77	127	91	39	45	5.49%	106	1863	24.85	1	1	2	15	250	1	1	2	4	271	0	0	0%	0	17	56	1	0	0.26	0	3	0	0	0	0	1	3
11	Mathieu Joseph	Tampa Bay Lightning	LW/RW	75	9	14	23	-21	20	0	61	65	118	33	75	7.63%	16	953	12.72	0	0	0	2	11	0	2	2	5	211	3	1	26.83%	41	24	18	0	0	0.48	3	7	0	0	0	0	3	1
12	Logan Shaw	Tampa Bay Lightning	C/RW	75	4	17	21	-11	21	5	71	82	97	30	49	4.12%	24	880	11.74	0	0	0	0	0	0	1	1	4	213	1	2	50.96%	469	18	10	0	0	0.48	0	2	0	1	0	0	2	2
13	Andy Andreoff	Tampa Bay Lightning	C/LW	75	7	10	17	-5	87	15	95	90	69	12	38	10.14%	21	1005	13.40	0	1	1	0	14	0	0	0	9	197	0	1	46.92%	633	10	14	0	0	0.34	0	5	1	0	2	3	0	0
14	Ryan McDonagh	Tampa Bay Lightning	D	75	6	11	17	-3	43	5	68	111	74	37	35	8.11%	86	1686	22.48	2	2	4	8	243	1	0	1	1	251	0	1	0%	0	9	43	0	0	0.20	0	0	0	1	0	0	0	2
15	Erik Cernak	Tampa Bay Lightning	D	67	3	13	16	3	107	5	96	104	78	17	35	3.85%	65	1413	21.10	1	3	4	5	146	0	0	0	4	188	0	0	0%	0	8	29	0	0	0.23	0	0	0	0	1	0	0	1
16	Nick Seeler	Tampa Bay Lightning	D	75	0	11	11	5	56	10	71	64	30	21	14	0%	52	1047	13.96	0	1	1	0	14	0	0	0	1	60	0	0	0%	0	5	33	0	0	0.21	0	0	1	1	0	0	0	0
17	Robert Bortuzzo	Tampa Bay Lightning	D	75	2	9	11	2	43	5	63	84	49	15	18	4.08%	68	1092	14.57	1	2	3	6	89	0	0	0	0	37	0	0	0%	0	3	40	0	0	0.20	0	1	0	1	0	0	0	0
18	Brendan Lemieux	Tampa Bay Lightning	LW/RW	75	4	6	10	-8	124	40	93	37	55	15	21	7.27%	9	652	8.69	0	0	0	0	1	0	0	0	0	0	0	0	22.73%	22	13	7	0	0	0.31	2	4	3	4	1	0	0	0
19	Cal Foote	Tampa Bay Lightning	D	8	0	3	3	-7	15	5	12	6	4	0	2	0%	5	141	17.69	0	0	0	0	4	0	0	0	0	12	0	0	0%	0	1	4	0	0	0.42	0	0	0	0	1	0	0	0
Statistiques d’équipe totales ou en moyenne				1350	215	358	573	-35	847	125	1455	1473	2257	703	1304	9.53%	746	22150	16.41	56	87	143	229	2491	2	4	6	56	2127	24	14	49.16%	4477	492	458	1	3	0.52	15	54	5	9	9	29	32	30

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	PS %	PSA	ST	BG	S1	S2
1	Andrei Vasilevskiy	Tampa Bay Lightning	66	29	25	7	0.899	3.00	3720	6	1	186	1835	831	1	0.717	53	63	12	5	3
2	Thomas Greiss	Tampa Bay Lightning	19	2	10	2	0.863	4.48	844	0	0	63	460	265	0	0.667	3	12	63	0	1
Statistiques d’équipe totales ou en moyenne			85	31	35	9	0.892	3.27	4564	6	1	249	2295	1096	1		56	75	75	5	4

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	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
Andre Burakovsky (contrat à 1 volet)	Tampa Bay Lightning	LW/RW	28	1995-12-31	No	201 Lbs	6 ft3	No	No	N/A	No	Yes	4	False	False	Pro Only	5,500,000$	5,500,000$	578,947$	No	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Andrei Vasilevskiy (contrat à 1 volet)	Tampa Bay Lightning	G	29	1994-12-31	No	216 Lbs	6 ft3	No	No	N/A	No	Yes	2	False	False	Pro Only	9,500,000$	9,500,000$	1,000,000$	No	9,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Andy Andreoff	Tampa Bay Lightning	C/LW	32	1991-12-31	No	203 Lbs	6 ft1	No	No	N/A	No	Yes	2	False	False	Pro & Farm	775,000$	775,000$	81,579$	No	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Brayden Point (contrat à 1 volet)	Tampa Bay Lightning	C/RW	27	1996-12-31	No	166 Lbs	5 ft10	No	No	N/A	No	Yes	4	False	False	Pro Only	9,500,000$	9,500,000$	1,000,000$	No	9,500,000$	9,500,000$	9,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Brendan Lemieux (contrat à 1 volet)	Tampa Bay Lightning	LW/RW	27	1996-12-31	No	213 Lbs	6 ft1	No	No	N/A	No	Yes	1	False	False	Pro Only	1,350,000$	1,350,000$	142,105$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Cal Foote	Tampa Bay Lightning	D	25	1998-12-31	No	209 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	850,000$	850,000$	89,474$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Devon Toews (contrat à 1 volet)	Tampa Bay Lightning	D	29	1994-12-31	No	191 Lbs	6 ft1	No	No	N/A	No	Yes	2	False	False	Pro Only	4,100,000$	4,100,000$	431,579$	No	4,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Dylan Strome (contrat à 1 volet)	Tampa Bay Lightning	C	26	1997-12-31	No	200 Lbs	6 ft3	No	No	N/A	No	Yes	1	False	False	Pro Only	3,500,000$	3,500,000$	368,421$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Erik Cernak (contrat à 1 volet)	Tampa Bay Lightning	D	26	1997-12-31	No	233 Lbs	6 ft3	No	No	N/A	No	Yes	1	False	False	Pro Only	2,950,000$	2,950,000$	310,526$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Jakub Vrana (contrat à 1 volet)	Tampa Bay Lightning	LW/RW	27	1996-12-31	No	195 Lbs	6 ft0	No	No	N/A	No	Yes	2	False	False	Pro Only	5,250,000$	5,250,000$	552,632$	No	5,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Logan Shaw	Tampa Bay Lightning	C/RW	31	1992-12-31	No	208 Lbs	6 ft3	No	No	N/A	No	Yes	1	False	False	Pro & Farm	775,000$	775,000$	81,579$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Mathieu Joseph (contrat à 1 volet)	Tampa Bay Lightning	LW/RW	26	1997-12-31	No	190 Lbs	6 ft1	No	No	N/A	No	Yes	4	False	False	Pro Only	2,950,000$	2,950,000$	310,526$	No	2,950,000$	2,950,000$	2,950,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien / Lien NHL
Mikhail Sergachev (contrat à 1 volet)	Tampa Bay Lightning	D	25	1998-12-31	No	217 Lbs	6 ft2	No	No	N/A	No	Yes	1	False	False	Pro Only	4,800,000$	4,800,000$	505,263$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Nick Seeler	Tampa Bay Lightning	D	30	1993-12-31	No	201 Lbs	6 ft2	No	No	N/A	No	Yes	2	False	False	Pro & Farm	750,000$	750,000$	78,947$	No	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Nikita Kucherov (contrat à 1 volet)	Tampa Bay Lightning	RW	30	1993-12-31 03:54:48	No	180 Lbs	5 ft11	No	No	N/A	No	Yes	2	False	False	Pro Only	9,500,000$	9,500,000$	1,000,000$	No	9,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Robert Bortuzzo (contrat à 1 volet)	Tampa Bay Lightning	D	34	1989-12-31	No	216 Lbs	6 ft4	No	No	N/A	No	Yes	2	False	False	Pro Only	750,000$	750,000$	78,947$	No	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Ross Colton (contrat à 1 volet)	Tampa Bay Lightning	C/LW	27	1996-12-31	No	190 Lbs	6 ft0	No	No	N/A	No	Yes	1	False	False	Pro Only	1,125,000$	1,125,000$	118,421$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL
Ryan McDonagh (contrat à 1 volet)	Tampa Bay Lightning	D	34	1989-12-31	No	214 Lbs	6 ft1	No	No	N/A	No	Yes	2	False	False	Pro Only	6,750,000$	6,750,000$	710,526$	No	6,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Steven Stamkos (contrat à 1 volet)	Tampa Bay Lightning	C/LW/RW	33	1990-12-31	No	194 Lbs	6 ft1	No	No	N/A	No	Yes	2	False	False	Pro Only	8,500,000$	8,500,000$	894,737$	No	8,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Taylor Raddysh	Tampa Bay Lightning	C/RW	25	1998-12-31	No	198 Lbs	6 ft2	No	No	N/A	No	Yes	2	False	False	Pro & Farm	758,333$	758,333$	79,825$	No	758,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien / Lien NHL
Thomas Greiss (contrat à 1 volet)	Tampa Bay Lightning	G	37	1986-12-31	No	232 Lbs	6 ft2	No	No	N/A	No	Yes	1	False	False	Pro Only	937,500$	937,500$	98,684$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.95	203 Lbs	6 ft2	1.90	3,850,992$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
80,870,833$	64,583,333$	17,950,000$	17,950,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Andre Burakovsky	Dylan Strome	Nikita Kucherov	30	1	0	4
2	Steven Stamkos	Brayden Point	Jakub Vrana	30	2	0	3
3	Ross Colton	Andy Andreoff	Taylor Raddysh	25	2	1	2
4	Mathieu Joseph	Logan Shaw	Brendan Lemieux	15	1	4	0

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Mikhail Sergachev	Erik Cernak	35	2	2	1
2	Ryan McDonagh	Devon Toews	35	1	4	0
3	Nick Seeler	Robert Bortuzzo	30	2	3	0
4	Mikhail Sergachev	Devon Toews	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Andre Burakovsky	Brayden Point	Nikita Kucherov	50	1	0	4
2	Jakub Vrana	Steven Stamkos	Taylor Raddysh	50	1	0	4

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Mikhail Sergachev	50	1	1	3
2	Ryan McDonagh	Robert Bortuzzo	50	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Andy Andreoff	Mathieu Joseph	50	2	3	0
2	Logan Shaw	Steven Stamkos	50	2	3	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Mikhail Sergachev	Devon Toews	50	1	4	0
2	Ryan McDonagh	Erik Cernak	50	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Andy Andreoff	50	1	2	2	Mikhail Sergachev	Devon Toews	50	1	2	2
2	Logan Shaw	50	1	2	2	Ryan McDonagh	Erik Cernak	50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Brayden Point	Andre Burakovsky	50	1	2	2
2	Steven Stamkos	Brendan Lemieux	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Erik Cernak	Mikhail Sergachev	50	1	3	1
2	Nick Seeler	Robert Bortuzzo	50	1	3	1

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Steven Stamkos	Brayden Point	Jakub Vrana	Mikhail Sergachev	Devon Toews

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Mathieu Joseph	Andy Andreoff	Logan Shaw	Ryan McDonagh	Erik Cernak

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Taylor Raddysh, Brendan Lemieux, Brayden Point	Andy Andreoff, Dylan Strome	Ross Colton

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Nick Seeler, Erik Cernak, Ryan McDonagh	Nick Seeler	Erik Cernak, Ryan McDonagh

Tirs de pénalité
Ross Colton, Mathieu Joseph, Brendan Lemieux, Devon Toews, Andy Andreoff

Gardien
#1 : Andrei Vasilevskiy, #2 : Thomas Greiss

Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,

Lignes de défense personnalisées en prolongation
, , , ,

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	Anaheim Ducks	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	8	12	0	0	1	2	1	0	55	18	10	27	0	55	23	34	31	4	0	0.00%	17	0	100.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	37	19	47	20	35	15
2	Arizona Coyotes	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	6	10	16	0	0	1	2	3	0	63	17	29	17	0	59	29	18	38	7	0	0.00%	9	1	88.89%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	41	23	42	18	35	17
3	Boston Bruins	3	1	2	0	0	0	0	0	10	14	-4	2	0	2	0	0	0	0	0	5	11	-6	1	1	0	0	0	0	0	0	5	3	2	2	0.333	10	18	28	0	0	0	3	7	0	89	25	35	29	0	96	22	33	53	19	4	21.05%	14	7	50.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	61	36	67	26	50	25
4	Buffalo Sabres	4	2	0	0	0	0	2	0	14	9	5	2	0	0	0	0	0	2	0	8	6	2	2	2	0	0	0	0	0	0	6	3	3	8	1.000	14	18	32	0	0	4	4	4	2	144	51	41	48	8	108	32	30	73	16	3	18.75%	15	4	73.33%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	95	56	77	36	76	39
5	Calgary Flames	2	1	1	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	4	1	3	2	0.500	6	8	14	0	0	1	4	1	0	65	19	28	18	0	60	14	13	48	10	2	20.00%	4	2	50.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	42	22	38	18	39	20
6	Carolina Hurricanes	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	5	9	14	0	0	2	1	2	0	46	9	9	28	0	65	18	38	40	16	2	12.50%	14	7	50.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	40	20	42	20	36	16
7	Chicago Blackhawks	2	1	0	0	0	0	1	0	8	6	2	1	0	0	0	0	0	1	0	3	2	1	1	1	0	0	0	0	0	0	5	4	1	4	1.000	8	12	20	0	0	1	4	2	1	72	14	34	22	4	73	24	41	43	7	3	42.86%	13	3	76.92%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	43	24	44	19	36	18
8	Colorado Avalanche	2	1	0	0	0	0	0	1	7	5	2	1	0	0	0	0	0	0	1	3	4	-1	1	1	0	0	0	0	0	0	4	1	3	3	0.750	7	12	19	0	0	2	3	2	0	59	22	20	17	2	63	17	25	41	3	1	33.33%	10	2	80.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	37	19	50	19	37	17
9	Columbus Blue Jackets	2	2	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	7	11	18	0	0	1	3	3	0	62	16	18	28	0	55	17	8	32	14	3	21.43%	4	0	100.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	40	22	44	18	35	18
10	Dallas Stars	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	1	2	0	0	1	0	0	0	39	9	13	17	0	31	10	4	25	2	0	0.00%	2	0	100.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	22	13	21	8	16	7
11	Detroit Red Wings	4	2	1	0	0	0	1	0	14	13	1	2	1	1	0	0	0	0	0	4	6	-2	2	1	0	0	0	0	1	0	10	7	3	6	0.750	14	21	35	0	0	4	4	5	1	115	37	44	34	3	129	40	44	72	15	2	13.33%	17	2	88.24%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	83	45	85	39	76	37
12	Edmonton Oilers	2	0	2	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	2	4	6	0	0	1	1	0	0	64	19	21	24	0	59	14	23	39	11	1	9.09%	9	2	77.78%	1	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	44	25	41	17	33	17
13	Florida Panthers	4	1	1	0	0	0	1	1	12	11	1	3	0	1	0	0	0	1	1	9	10	-1	1	1	0	0	0	0	0	0	3	1	2	5	0.625	12	18	30	0	0	0	8	3	2	105	28	45	31	12	121	43	33	69	18	2	11.11%	13	4	69.23%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	84	46	92	38	73	35
14	Los Angeles Kings	2	0	1	0	0	0	1	0	8	8	0	1	0	0	0	0	0	1	0	5	4	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	8	11	19	0	0	2	1	4	2	57	19	12	26	6	64	15	20	57	9	2	22.22%	10	3	70.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	44	24	42	18	37	19
15	Minnesota Wild	3	3	0	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	4	3	1	2	2	0	0	0	0	0	0	7	5	2	6	1.000	11	18	29	0	0	3	5	3	0	93	26	45	22	0	84	19	31	56	9	3	33.33%	13	4	69.23%	1	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	67	40	61	26	51	25
16	Montreal Canadiens	4	0	2	0	0	1	0	1	7	14	-7	2	0	1	0	0	0	0	1	2	5	-3	2	0	1	0	0	1	0	0	5	9	-4	2	0.250	7	10	17	0	0	1	2	4	0	112	27	50	35	3	109	48	43	73	16	2	12.50%	19	3	84.21%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	85	46	84	39	75	36
17	Nashville Predators	3	1	2	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	7	1	6	2	0	2	0	0	0	0	0	2	8	-6	2	0.333	9	15	24	0	0	4	4	1	0	81	25	32	24	0	78	29	40	73	14	1	7.14%	15	2	86.67%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	64	35	64	29	51	24
18	New Jersey Devils	2	0	2	0	0	0	0	0	5	16	-11	1	0	1	0	0	0	0	0	3	9	-6	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	5	8	13	0	0	2	3	0	0	59	21	21	17	0	82	20	29	35	4	1	25.00%	12	3	75.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	40	23	47	18	31	14
19	New York Islanders	2	0	2	0	0	0	0	0	10	13	-3	1	0	1	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	10	13	23	0	0	2	2	6	0	66	15	21	30	0	60	20	22	42	18	5	27.78%	11	6	45.45%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	45	25	39	18	34	19
20	New York Rangers	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	0	1	0	23	9	5	9	0	36	8	8	20	4	0	0.00%	4	1	75.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	20	11	22	9	16	8
21	Ottawa Senators	3	2	1	0	0	0	0	0	12	8	4	1	1	0	0	0	0	0	0	4	0	4	2	1	1	0	0	0	0	0	8	8	0	4	0.667	12	21	33	0	1	3	7	2	0	104	37	38	29	0	81	33	56	68	16	5	31.25%	13	4	69.23%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	69	40	57	27	52	27
22	Philadelphia Flyers	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	5	8	0	0	3	0	0	0	54	23	16	15	0	61	27	16	36	4	0	0.00%	8	3	62.50%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	41	23	44	18	34	16
23	Pittsburgh Penguins	3	0	2	0	0	0	1	0	7	9	-2	2	0	1	0	0	0	1	0	5	5	0	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	7	11	18	0	0	0	3	3	2	78	22	40	16	4	88	28	38	47	11	0	0.00%	19	5	73.68%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	63	34	67	31	54	26
24	San Jose Sharks	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	0	1	3	0	25	1	9	15	0	26	14	17	26	9	2	22.22%	7	2	71.43%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	20	9	21	10	18	9
25	Seattle Kraken	2	1	0	0	0	0	0	1	11	8	3	1	0	0	0	0	0	0	1	4	5	-1	1	1	0	0	0	0	0	0	7	3	4	3	0.750	11	21	32	0	0	2	5	4	1	60	23	23	12	5	70	21	52	40	9	2	22.22%	11	4	63.64%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	41	23	47	20	36	17
26	St. Louis Blues	2	0	2	0	0	0	0	0	6	8	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0.000	6	10	16	0	0	1	5	0	0	77	20	42	15	0	73	21	21	23	7	2	28.57%	8	2	75.00%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	46	28	41	17	32	16
27	Toronto Maple Leafs	4	1	2	0	0	1	0	0	14	16	-2	2	0	2	0	0	0	0	0	4	7	-3	2	1	0	0	0	1	0	0	10	9	1	3	0.375	14	25	39	0	0	7	4	3	0	130	50	50	30	0	145	35	35	68	6	3	50.00%	15	2	86.67%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	81	48	94	35	66	30
28	Vancouver Canucks	2	0	1	0	0	0	0	1	2	4	-2	1	0	1	0	0	0	0	0	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	1	0.250	2	3	5	0	0	1	0	1	1	62	17	21	24	4	51	27	18	57	4	1	25.00%	9	2	77.78%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	42	23	45	19	37	17
29	Vegas Golden Knights	2	0	1	0	0	0	0	1	4	8	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	0	0	0	1	3	4	-1	1	0.250	4	7	11	0	0	0	2	2	2	50	10	23	17	4	66	29	21	27	10	1	10.00%	8	1	87.50%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	43	23	43	19	38	19
30	Washington Capitals	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	7	12	0	0	1	2	2	0	71	26	20	25	0	54	22	18	39	4	1	25.00%	9	1	88.89%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	41	23	42	18	35	16
31	Winnipeg Jets	3	1	1	0	0	0	0	1	7	12	-5	2	0	1	0	0	0	0	1	4	10	-6	1	1	0	0	0	0	0	0	3	2	1	3	0.500	7	13	20	0	0	2	5	0	1	77	21	35	21	7	93	27	24	64	11	2	18.18%	12	1	91.67%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	65	36	64	28	55	27
	Total	75	24	35	0	0	2	7	7	222	256	-34	38	8	19	0	0	0	6	5	109	135	-26	37	16	16	0	0	2	1	2	113	121	-8	71	0.473	222	358	580	0	1	53	90	72	15	2257	676	850	722	62	2295	746	853	1455	307	56	18.24%	344	83	75.87%	2	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	1599	902	1629	712	1342	662
	_Since Last GM Reset	75	24	35	0	0	2	7	7	222	256	-34	38	8	19	0	0	0	6	5	109	135	-26	37	16	16	0	0	2	1	2	113	121	-8	71	0.473	222	358	580	0	1	53	90	72	15	2257	676	850	722	62	2295	746	853	1455	307	56	18.24%	344	83	75.87%	2	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	1599	902	1629	712	1342	662
	_Vs Conference	42	12	21	0	0	2	5	2	126	154	-28	23	4	13	0	0	0	4	2	63	87	-24	19	8	8	0	0	2	1	0	63	67	-4	38	0.452	126	197	323	0	1	30	46	45	7	1258	396	453	404	30	1290	413	451	767	181	33	18.23%	187	52	72.19%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	894	507	911	398	750	369
	_Vs Division	26	9	9	0	0	2	4	2	83	85	-2	14	2	7	0	0	0	3	2	36	45	-9	12	7	2	0	0	2	1	0	47	40	7	30	0.577	83	131	214	0	1	19	32	28	5	799	255	303	236	26	789	253	274	476	106	21	19.81%	106	26	75.47%	0	800	1638	48.84%	863	1712	50.41%	538	1091	49.31%	560	321	560	245	470	233

			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
75	71	SOL1	222	358	580	2257	2295	746	853	1455	0	1

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
75	24	35	0	2	7	7	222	256

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	8	19	0	0	6	5	109	135

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
37	16	16	0	2	1	2	113	121

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
3	5	0	0	0	2

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
307	56	18.24%	344	83	75.87%	2

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
676	850	722	62	53	90	72	15

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
800	1638	48.84%	863	1712	50.41%	538	1091	49.31%

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
1599	902	1629	712	1342	662

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	17	Ottawa Senators	0	Tampa Bay Lightning	4	W			Sommaire du match
4	30	Tampa Bay Lightning	2	Ottawa Senators	3	L			Sommaire du match
5	44	Pittsburgh Penguins	3	Tampa Bay Lightning	2	L			Sommaire du match
7	60	Tampa Bay Lightning	3	Florida Panthers	1	W			Sommaire du match
8	75	Florida Panthers	3	Tampa Bay Lightning	2	L			Sommaire du match
10	92	Tampa Bay Lightning	4	Detroit Red Wings	2	W			Sommaire du match
12	106	Florida Panthers	2	Tampa Bay Lightning	3	W	X	X	Sommaire du match
15	129	Winnipeg Jets	4	Tampa Bay Lightning	3	L	X	X	Sommaire du match
17	141	Tampa Bay Lightning	4	Montreal Canadiens	5	L	X		Sommaire du match
18	160	Montreal Canadiens	3	Tampa Bay Lightning	1	L			Sommaire du match
20	175	Tampa Bay Lightning	2	Buffalo Sabres	1	W			Sommaire du match
22	188	Tampa Bay Lightning	3	Minnesota Wild	2	W			Sommaire du match
23	199	Tampa Bay Lightning	1	Nashville Predators	4	L			Sommaire du match
25	218	Toronto Maple Leafs	4	Tampa Bay Lightning	2	L			Sommaire du match
28	239	Detroit Red Wings	1	Tampa Bay Lightning	2	W			Sommaire du match
31	262	Buffalo Sabres	2	Tampa Bay Lightning	3	W	X	X	Sommaire du match
33	284	Tampa Bay Lightning	6	Ottawa Senators	5	W			Sommaire du match
34	291	Tampa Bay Lightning	1	Vancouver Canucks	2	L	X	X	Sommaire du match
35	303	Arizona Coyotes	3	Tampa Bay Lightning	5	W			Sommaire du match
37	325	Calgary Flames	3	Tampa Bay Lightning	2	L			Sommaire du match
39	342	Tampa Bay Lightning	3	Winnipeg Jets	2	W			Sommaire du match
41	356	Winnipeg Jets	6	Tampa Bay Lightning	1	L			Sommaire du match
43	377	Tampa Bay Lightning	5	Chicago Blackhawks	4	W			Sommaire du match
44	388	Edmonton Oilers	3	Tampa Bay Lightning	2	L			Sommaire du match
46	410	Tampa Bay Lightning	0	Edmonton Oilers	4	L			Sommaire du match
48	420	Carolina Hurricanes	7	Tampa Bay Lightning	4	L			Sommaire du match
50	445	Tampa Bay Lightning	3	Vegas Golden Knights	4	L	X	X	Sommaire du match
51	452	New York Rangers	4	Tampa Bay Lightning	1	L			Sommaire du match
53	471	Tampa Bay Lightning	4	San Jose Sharks	2	W			Sommaire du match
55	483	Vegas Golden Knights	4	Tampa Bay Lightning	1	L			Sommaire du match
57	505	Tampa Bay Lightning	1	Dallas Stars	2	L			Sommaire du match
59	517	New York Islanders	8	Tampa Bay Lightning	6	L			Sommaire du match
61	539	Tampa Bay Lightning	4	Minnesota Wild	3	W			Sommaire du match
62	548	Colorado Avalanche	4	Tampa Bay Lightning	3	L	X	X	Sommaire du match
65	573	Tampa Bay Lightning	1	Arizona Coyotes	5	L			Sommaire du match
66	581	Florida Panthers	5	Tampa Bay Lightning	4	L	X	X	Sommaire du match
68	595	Tampa Bay Lightning	4	Calgary Flames	1	W			Sommaire du match
70	611	Vancouver Canucks	2	Tampa Bay Lightning	1	L			Sommaire du match
73	637	Tampa Bay Lightning	6	Detroit Red Wings	5	W	X	X	Sommaire du match
74	649	Philadelphia Flyers	5	Tampa Bay Lightning	1	L			Sommaire du match
76	667	Tampa Bay Lightning	1	Montreal Canadiens	4	L			Sommaire du match
78	680	Toronto Maple Leafs	3	Tampa Bay Lightning	2	L			Sommaire du match
80	703	Boston Bruins	6	Tampa Bay Lightning	2	L			Sommaire du match
81	715	Tampa Bay Lightning	6	Toronto Maple Leafs	7	L	X		Sommaire du match
83	730	Tampa Bay Lightning	2	New Jersey Devils	7	L			Sommaire du match
85	744	Detroit Red Wings	5	Tampa Bay Lightning	2	L			Sommaire du match
88	769	Pittsburgh Penguins	2	Tampa Bay Lightning	3	W	X	X	Sommaire du match
89	778	Tampa Bay Lightning	3	Los Angeles Kings	4	L			Sommaire du match
90	790	Tampa Bay Lightning	4	Toronto Maple Leafs	2	W			Sommaire du match
92	806	Tampa Bay Lightning	4	St. Louis Blues	5	L			Sommaire du match
93	816	New Jersey Devils	9	Tampa Bay Lightning	3	L			Sommaire du match
96	838	Nashville Predators	1	Tampa Bay Lightning	7	W			Sommaire du match
98	860	Tampa Bay Lightning	2	Philadelphia Flyers	3	L			Sommaire du match
99	868	Tampa Bay Lightning	4	Buffalo Sabres	2	W			Sommaire du match
100	880	Minnesota Wild	3	Tampa Bay Lightning	4	W			Sommaire du match
102	899	Columbus Blue Jackets	2	Tampa Bay Lightning	3	W			Sommaire du match
103	911	Tampa Bay Lightning	2	Pittsburgh Penguins	4	L			Sommaire du match
106	934	Tampa Bay Lightning	4	New York Islanders	5	L			Sommaire du match
107	940	Tampa Bay Lightning	4	Columbus Blue Jackets	3	W			Sommaire du match
108	952	Chicago Blackhawks	2	Tampa Bay Lightning	3	W	X	X	Sommaire du match
111	975	Boston Bruins	5	Tampa Bay Lightning	3	L			Sommaire du match
114	1000	Buffalo Sabres	4	Tampa Bay Lightning	5	W	X	X	Sommaire du match
115	1011	Tampa Bay Lightning	4	Colorado Avalanche	1	W			Sommaire du match
117	1025	Tampa Bay Lightning	7	Seattle Kraken	3	W			Sommaire du match
118	1037	Anaheim Ducks	1	Tampa Bay Lightning	3	W			Sommaire du match
121	1060	Los Angeles Kings	4	Tampa Bay Lightning	5	W	X	X	Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122	1069	Tampa Bay Lightning	5	Boston Bruins	3	W			Sommaire du match
124	1090	Tampa Bay Lightning	1	Anaheim Ducks	2	L			Sommaire du match
125	1098	Tampa Bay Lightning	1	Carolina Hurricanes	3	L			Sommaire du match
126	1109	Montreal Canadiens	2	Tampa Bay Lightning	1	L	X	X	Sommaire du match
128	1128	Tampa Bay Lightning	1	Nashville Predators	4	L			Sommaire du match
130	1142	St. Louis Blues	3	Tampa Bay Lightning	2	L			Sommaire du match
132	1158	Tampa Bay Lightning	1	Washington Capitals	2	L			Sommaire du match
134	1173	Washington Capitals	2	Tampa Bay Lightning	4	W			Sommaire du match
136	1197	Seattle Kraken	5	Tampa Bay Lightning	4	L	X	X	Sommaire du match
139	1220	San Jose Sharks	-	Tampa Bay Lightning	-
140	1223	Tampa Bay Lightning	-	New York Rangers	-
142	1245	Tampa Bay Lightning	-	Florida Panthers	-
144	1254	Tampa Bay Lightning	-	New York Rangers	-
145	1267	Ottawa Senators	-	Tampa Bay Lightning	-
147	1286	Dallas Stars	-	Tampa Bay Lightning	-
150	1308	Tampa Bay Lightning	-	Boston Bruins	-

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	8000	5000	3000	5150	850
Prix des billets	77	40	25	17	172
Assistance	283,402	180,131	107,701	188,531	30,307
Attendance PCT	93.22%	94.81%	94.47%	96.34%	93.83%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
3	20791 - 94.51%	1,573,814$	59,804,950$	22000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
72,872,608$	80,870,833$	80,870,833$	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
80,870,833$	71,977,864$	0$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
4,721,443$	16	538,624$	8,617,984$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
8,767,105$	67,450,726$	63,595,106$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
80,870,833$	1,629,167$	82,500,000$	19,870,833$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Steven Stamkos	AGE:33	PO:80	OV:81
Andre Burakovsky	AGE:28	PO:72	OV:76
Jakub Vrana	AGE:27	PO:73	OV:72
Mathieu Joseph	AGE:26	PO:65	OV:69
Ross Colton	AGE:27	PO:68	OV:68
Andy Andreoff	AGE:32	PO:66	OV:67
Brendan Lemieux	AGE:27	PO:59	OV:65
Boris Katchouk	AGE:25	PO:63	OV:64
Gemel Smith	AGE:29	PO:61	OV:62
Gabriel Fortier (R)	AGE:23	PO:59	OV:58
Cole Koepke	AGE:25	PO:58	OV:58

Brayden Point	AGE:27	PO:83	OV:82
Steven Stamkos	AGE:33	PO:80	OV:81
Dylan Strome	AGE:26	PO:73	OV:73
Taylor Raddysh	AGE:25	PO:70	OV:71
Ross Colton	AGE:27	PO:68	OV:68
Andy Andreoff	AGE:32	PO:66	OV:67
Logan Shaw	AGE:31	PO:63	OV:66
Alex Barre-Boulet	AGE:26	PO:63	OV:64
Gemel Smith	AGE:29	PO:61	OV:62
Jack Finley (R)	AGE:21	PO:57	OV:60
Gage Goncalves (R)	AGE:22	PO:59	OV:59
Jimmy Huntington	AGE:25	PO:58	OV:59
Gabriel Fortier (R)	AGE:23	PO:59	OV:58
Cole Koepke	AGE:25	PO:58	OV:58
Ty Glover (R)	AGE:23	PO:54	OV:57
Nikita Pavlychev	AGE:26	PO:50	OV:54

Brayden Point	AGE:27	PO:83	OV:82
Nikita Kucherov	AGE:30	PO:79	OV:82
Steven Stamkos	AGE:33	PO:80	OV:81
Andre Burakovsky	AGE:28	PO:72	OV:76
Jakub Vrana	AGE:27	PO:73	OV:72
Taylor Raddysh	AGE:25	PO:70	OV:71
Mathieu Joseph	AGE:26	PO:65	OV:69
Logan Shaw	AGE:31	PO:63	OV:66
Brendan Lemieux	AGE:27	PO:59	OV:65
Martin Frk	AGE:30	PO:65	OV:64
Gemel Smith	AGE:29	PO:61	OV:62
Cole Koepke	AGE:25	PO:58	OV:58
Milos Kelemen (R)	AGE:24	PO:60	OV:56
Zach Solow	AGE:25	PO:48	OV:49

Défense #1

Défense #2

Gardien

Mikhail Sergachev	AGE:25	PO:69	OV:78
Devon Toews	AGE:29	PO:67	OV:75
Erik Cernak	AGE:26	PO:63	OV:73
Ryan McDonagh	AGE:34	PO:63	OV:73
Robert Bortuzzo	AGE:34	PO:57	OV:67
Nick Seeler	AGE:30	PO:57	OV:66
Cal Foote	AGE:25	PO:58	OV:65
Darren Raddysh	AGE:27	PO:57	OV:61

Sean Day	AGE:25	PO:51	OV:61
Declan Carlile (R)	AGE:23	PO:52	OV:56
Jack Thompson (R)	AGE:21	PO:51	OV:56
Mitch Reinke	AGE:27	PO:54	OV:55
Daniel Walcott	AGE:29	PO:55	OV:54
Alex Green	AGE:25	PO:50	OV:53
Alex Kannok Leipert (R)	AGE:23	PO:47	OV:52

Andrei Vasilevskiy	AGE:29	PO:80	OV:81
Thomas Greiss	AGE:37	PO:62	OV:65
Hugo Alnefelt (R)	AGE:22	PO:56	OV:56
Keith Petruzzelli (R)	AGE:24	PO:52	OV:56
Evan Cormier (R)	AGE:26	PO:58	OV:54

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	Lien
Alexei Lipanov	Tampa Bay Lightning	2017	77
Antoine Morand	Tampa Bay Lightning	2017	60	Lien
Brandon Svoboda	Tampa Bay Lightning	2023	89
Cameron MacDonald	Tampa Bay Lightning	2021	160
Connor Hvidston	Tampa Bay Lightning	2022	157
Daniil Pylenkov	Tampa Bay Lightning	2021	0
Declan McDonnell	Tampa Bay Lightning	2020	217	Lien
Dmitry Semykin	Tampa Bay Lightning	2018	117
Dmitry Simashev	Tampa Bay Lightning	2023	9
Dylan Duke	Tampa Bay Lightning	2021	126
Eamon Powell	Tampa Bay Lightning	2020	109
Maxim Cajkovic	Tampa Bay Lightning	2019	93
Maxim Groshev	Tampa Bay Lightning	2020	88
Maxwell Crozier	Tampa Bay Lightning	2019	140
Mikhail Shalagin	Tampa Bay Lightning	2019	138
Nate Danielson	Tampa Bay Lightning	2023	14
Nathan Gaucher	Tampa Bay Lightning	2022	29
Otto Somppi	Tampa Bay Lightning	2016	206	Lien
Paul Ludwinski	Tampa Bay Lightning	2022	50
Roman Schmidt	Tampa Bay Lightning	2021	96
Vadim Moroz	Tampa Bay Lightning	2023	110
Zachary Emond	Tampa Bay Lightning	2018	176	Lien

Choix au repêchage

Année	R1	R2	R3	R4	R5
2024
2025
2026
2027
2028
Choix au repêchage conditionnel

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

Tampa Bay Lightning Historique de transactions

[2023-11-10 23:46:37] - TRADE : From Washington Capitals to Tampa Bay Lightning : Brandon Svoboda (P), Y:2024-RND:3-OTT, Y:2025-RND:2-WSH.
[2023-11-10 23:46:37] - TRADE : From Tampa Bay Lightning to Washington Capitals : Alex Killorn (76).
[2023-11-09 23:00:20] - Offer from Tampa Bay Lightning for Ville Petman of $900,000 for 2 year(s) with $0 in bonus has been refused.
[2023-11-09 22:59:52] - Ty Glover signed with Tampa Bay Lightning for $900,000 for 3 year(s).
[2023-11-09 22:59:52] - Ty Glover was added to Tampa Bay Lightning.
[2023-11-09 22:54:37] - Milos Kelemen signed with Tampa Bay Lightning for $850,000 for 2 year(s).
[2023-11-09 22:54:37] - Milos Kelemen was added to Tampa Bay Lightning.
[2023-11-08 22:47:08] - Thomas Greiss signed with Tampa Bay Lightning for $937,500 for 1 year(s) / Option : 1 Way Contract & Signing Bonus of $500,000.
[2023-11-08 22:47:08] - Thomas Greiss was added to Tampa Bay Lightning.
[2023-11-08 22:30:15] - Martin Frk signed with Tampa Bay Lightning for $760,000 for 1 year(s).
[2023-11-08 22:30:15] - Martin Frk was added to Tampa Bay Lightning.
[2023-11-08 22:27:27] - Logan Shaw signed with Tampa Bay Lightning for $775,000 for 1 year(s).
[2023-11-08 22:27:27] - Logan Shaw was added to Tampa Bay Lightning.

[2024-04-25 19:39:09] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[2024-04-24 19:30:28] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[2024-04-23 21:23:58] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[2024-04-22 18:15:45] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[2024-04-21 20:08:20] Both Tampa Bay Lightning and Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[2024-04-19 23:38:34] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[2024-04-18 19:26:12] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[2024-04-17 19:42:14] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[2024-04-16 20:07:50] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[2024-04-15 19:24:30] Both Tampa Bay Lightning and Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[2024-04-14 18:49:14] Tampa Bay Lightning lines for next game are empty. Current rosters/lines are not erased.
[2024-04-13 19:00:22] Both Tampa Bay Lightning and Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[2024-04-11 20:44:47] 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.
[2024-04-09 19:13:48] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[2024-04-08 20:18:38] Last 7 Days Pro Star : 1 - Chandler Stephenson of Vegas Golden Knights (2-5-7) / 2 - Nikita Kucherov of Tampa Bay Lightning (3-4-7) / 3 - Brady Tkachuk of San Jose Sharks (3-3-6)
[2024-04-05 22:33:01] 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.
[2024-04-02 20:13:53] 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.
[2024-03-31 21:28:26] 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.
[2024-03-30 19:48:43] Syracuse Crunch lines for next game are empty. Current rosters/lines are not erased.
[2024-03-27 18:51:42] 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.

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: 75 \| W: 31 \| L: 35 \| OTL: 9 \| P: 71 GF: 222 \| GA: 256 \| PP%: 18.24% \| PK%: 75.87% DG: Mårten Corneliusson \| Morale : 30 \| Moyenne d’équipe : 72 Prochains matchs #1220 vs San Jose Sharks