Charlotte Checkers
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	8	FINAL	3	Florida Panthers 6-5-0, 12pts

Team Stats
OTW1	Séquence	L3
11-3-0	Fiche domicile	4-2-0
5-7-0	Fiche visiteur	2-3-0
5-4-1	Derniers 10 matchs	6-3-1
3.62	Buts par match	3.82
2.96	Buts contre par match	4.00
22.55%	Pourcentage en avantage numérique	26.32%
80.37%	Pourcentage en désavantage numérique	72.92%

Florida Panthers
6-5-0, 12pts

FINAL

Ottawa Senators
16-10-0, 32pts

Team Stats
L3	Séquence	OTW1
4-2-0	Fiche domicile	11-3-0
2-3-0	Fiche visiteur	5-7-0
6-3-1	Derniers 10 matchs	5-4-1
3.82	Buts par match	3.62
4.00	Buts contre par match	2.96
26.32%	Pourcentage en avantage numérique	22.55%
72.92%	Pourcentage en désavantage numérique	80.37%

Meneurs d'équipe
	Buts Leon Draisaitl 8	Passes Leon Draisaitl 12

	Points Leon Draisaitl 20	Plus/Moins Alec Martinez 6

	Victoires Linus Ullmark 6	Pourcentage d’arrêts Linus Ullmark 0.898

Statistiques d’équipe
Buts pour 42 3.82 GFG	Tirs pour 411 37.36 Avg	Pourcentage en avantage numérique 26.3% 15 GF	Début de zone offensive 40.8%
Buts contre 44 4.00 GAA	Tirs contre 414 37.64 Avg	Pourcentage en désavantage numérique 72.9%% 13 GA	Début de la zone défensive 42.4%

Informations de l'équipe
	Directeur général	Xavier Berard
	Entraîneur	Dave Hakstol
	Division	Atlantic
	Conférence	Eastern Conference
	Capitaine	Leon Draisaitl
	Assistant #1	Alec Martinez
	Assistant #2	Jack Hughes
Informations de l’aréna
	Nom	Bank Atlantic Center
	Capacité	18,000
	Assistance	18,000
	Billets de saison	6,480
Informations de la formation
	Équipe Pro	23
	Équipe Mineure	14
	Limite contact	37 / 250
	Espoirs	11
Plafond salarial Non Activé
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	82,500,000$
	Valeur du plafond salarial spécial	2,000,000$
	Joueurs Inclus dans le plafond salarial	23
Finance
	Revenu annuel à ce jour	10,249,200$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	23,213,459$
	Compte bancaire projeté	23,213,459$

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	Leon Draisaitl (C)	X	X	X		100.00	61	36	87	84	82	93	90	91	84	90	94	67	91	74	78	74	83	0	0	27	2	9,000,000$
2	Evgenii Dadonov		X	X		100.00	59	34	93	73	70	86	89	75	59	74	67	66	72	76	78	35	62	0	0	34	1	3,600,000$
3	Mika Zibanejad	X	X	X		100.00	62	36	94	79	81	92	90	83	80	84	82	85	83	79	74	70	66	0	0	30	3	4,750,000$
4	Andre Burakovsky		X	X		100.00	57	37	92	81	85	87	84	78	55	80	74	67	76	73	72	67	74	0	0	28	4	6,250,000$
5	Jujhar Khaira	X	X			100.00	88	79	82	63	89	83	74	61	79	58	62	82	59	71	69	55	82	0	0	29	3	950,000$
6	Christian Fischer	X		X		100.00	75	37	92	66	83	84	85	65	68	62	64	74	65	68	66	73	84	0	0	26	3	832,500$
7	Andrew Mangiapane	X	X	X		100.00	64	33	85	78	67	87	90	74	59	72	76	75	78	69	72	42	86	0	0	27	1	2,000,000$
8	Zach Aston-Reese	X	X	X		100.00	89	45	89	65	78	79	88	62	69	60	61	75	59	71	70	36	78	0	0	29	1	1,725,000$
9	Alexander Kerfoot	X	X	X		100.00	61	34	91	74	70	85	90	72	73	75	64	83	69	72	70	40	79	0	0	29	1	3,500,000$
10	Jack Hughes (A)	X	X	X		100.00	55	33	95	86	67	90	84	85	70	86	89	64	87	63	71	92	85	0	0	22	1	925,000$
11	Mason Marchment		X	X		100.00	76	47	70	75	88	85	83	72	59	76	73	67	72	68	70	36	84	0	0	28	2	792,500$
12	Shane Pinto (R)	X				100.00	62	37	93	74	84	86	76	73	81	66	71	64	72	62	64	77	85	0	0	22	1	925,000$
13	Alec Martinez (A)				X	100.00	60	39	90	67	79	90	79	65	30	71	60	88	53	83	77	30	79	0	0	36	2	4,250,000$
14	Scott Mayfield				X	100.00	70	51	72	66	93	91	87	64	30	74	61	86	52	74	73	60	81	0	0	30	2	1,750,000$
15	Filip Hronek				X	100.00	68	34	84	73	72	92	87	72	30	81	67	73	56	68	67	69	84	0	0	25	4	4,500,000$
16	Rasmus Sandin (R)				X	100.00	79	43	89	76	69	89	83	73	30	77	67	60	56	63	65	79	84	0	0	23	3	1,200,000$
17	John Marino				X	100.00	62	38	91	72	74	91	87	66	30	75	56	89	51	67	66	47	84	0	0	26	2	1,750,000$
18	Alexander Romanov				X	100.00	80	39	86	69	80	91	84	69	30	74	60	84	53	65	64	98	79	0	0	23	1	925,000$
Rayé
1	Mark Kastelic (R)	X				100.00	86	77	65	62	90	74	89	61	87	65	62	67	61	64	66	57	53	0	0	23	1	830,000$
2	Noah Juulsen				X	100.00	82	40	73	64	81	84	82	62	30	63	58	67	50	66	68	76	28	0	0	26	2	750,000$
3	Radim Simek				X	100.00	86	38	85	65	75	84	74	63	30	60	55	68	50	72	71	34	20	0	0	31	2	2,150,000$
Équipe Mineure
1	Brian Boyle	X	X	X		100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	38	1	940,000$
2	Cedric Paquette	X				100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	30	1	1,650,000$
3	Martin Frk			X		100.00	77	41	70	68	79	92	84	67	62	63	69	61	68	70	72	58	50	0	0	29	2	700,000$
4	Andy Andreoff	X	X			100.00	78	40	73	65	79	85	86	64	78	62	67	61	66	72	74	40	45	0	0	32	1	750,000$
5	Sammy Blais (R)		X	X		100.00	86	44	81	68	82	80	76	65	54	67	68	61	65	68	70	42	10	0	0	27	1	850,000$
6	Josh Dunne	X				100.00	79	43	69	58	89	86	79	59	71	58	59	63	57	65	67	42	50	0	0	24	3	925,000$
7	Dillon Hamaliuk (R)		X			100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	22	1	842,500$
8	Mavrik Bourque (R)	X				100.00	57	36	92	67	66	85	72	68	70	63	61	57	69	61	63	78	46	0	0	21	2	925,000$
9	Chris Wideman				X	100.00	59	54	65	68	67	84	80	66	30	75	56	55	51	74	76	37	50	0	0	33	1	700,000$
10	Isaak Phillips				X	100.00	73	43	73	62	84	83	85	58	30	66	59	63	50	62	64	56	50	0	0	22	1	842,500$
11	Jesper Sellgren (R)				X	100.00	40	35	40	40	35	80	90	40	20	40	40	40	30	25	25	11	50	0	0	25	3	842,500$

	MOYENNE D’ÉQUIPE					100.00	71	42	86	72	79	87	85	71	55	73	68	74	65	70	70	59	73	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	Linus Ullmark	100.00	77	97	90	92	81	88	90	89	90	76	96	74	84	99	74	0		0	30	2	3,500,000$
2	Cal Petersen	100.00	66	98	78	77	69	72	75	75	76	61	81	70	83	99	81	0		0	28	3	1,000,000$
Rayé
Équipe Mineure
1	Anton Khudobin	100.00	58	99	64	74	61	64	65	65	66	51	73	79	91	99	50	0	N	0	37	2	1,999,999$
2	Jack LaFontaine (R)	100.00	48	85	58	81	49	54	54	55	55	44	68	65	73	99	50	0		0	25	3	838,500$
3	Keith Kinkaid	100.00	59	99	65	79	61	67	69	69	70	54	73	76	88	99	19	0	N	0	34	2	1,999,999$

	MOYENNE D’ÉQUIPE	100.00	72	98	84	85	75	80	83	82	83	69	89	72	84	99	78	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dave Hakstol	82	81	86	82	82	77	66	CAN	55	2	1,500,000$

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	P/20	FW	S1	S2	S3
1	Leon Draisaitl	Florida Panthers	C/LW/RW	11	8	12	20	1	4	0	12	30	66	19	44	12.12%	0	271	24.65	2	5	7	13	48	0	0	0	1	17	1	0	52.47%	385	1.48	0	1	2	0
2	Jack Hughes	Florida Panthers	C/LW/RW	11	8	8	16	5	0	0	3	19	64	13	39	12.50%	2	231	21.02	3	1	4	15	48	0	0	0	0	0	0	0	50.00%	16	1.38	0	1	1	1
3	Mika Zibanejad	Florida Panthers	C/LW/RW	11	7	6	13	0	4	0	14	42	67	11	33	10.45%	5	255	23.22	3	5	8	23	43	1	0	1	4	46	0	0	51.65%	333	1.02	0	1	1	2
4	Filip Hronek	Florida Panthers	D	11	1	8	9	-6	10	0	18	10	15	8	12	6.67%	17	284	25.89	1	3	4	10	48	0	0	0	0	12	1	0	0%	0	0.63	0	0	0	1
5	Andrew Mangiapane	Florida Panthers	C/LW/RW	11	4	3	7	-3	6	0	22	10	36	6	27	11.11%	1	227	20.68	3	2	5	11	33	0	0	0	0	10	0	1	53.85%	13	0.62	0	1	1	0
6	Alexander Romanov	Florida Panthers	D	11	0	7	7	6	20	0	27	17	11	3	7	0%	18	237	21.63	0	0	0	0	10	0	1	1	0	25	0	0	0%	0	0.59	0	0	0	0
7	Scott Mayfield	Florida Panthers	D	11	1	5	6	-3	4	0	12	11	19	7	4	5.26%	13	197	17.95	1	2	3	14	33	0	0	0	1	33	0	1	0%	0	0.61	0	0	0	0
8	Mason Marchment	Florida Panthers	LW/RW	11	3	3	6	4	10	0	33	7	19	5	16	15.79%	3	208	18.92	1	1	2	7	33	0	0	0	0	0	1	0	40.00%	15	0.58	0	1	0	0
9	Evgenii Dadonov	Florida Panthers	LW/RW	11	2	3	5	-5	0	0	3	13	9	3	12	22.22%	0	129	11.75	0	0	0	0	4	0	1	1	0	5	0	0	50.00%	10	0.77	0	0	0	0
10	Alec Martinez	Florida Panthers	D	11	0	4	4	6	4	0	9	9	6	3	6	0%	27	243	22.09	0	0	0	0	0	0	1	1	1	36	0	0	0%	0	0.33	0	0	0	1
11	Andre Burakovsky	Florida Panthers	LW/RW	9	1	3	4	-2	2	0	8	12	18	10	19	5.56%	0	172	19.18	1	3	4	10	37	0	0	0	0	0	0	0	55.56%	18	0.46	0	0	0	1
12	Alexander Kerfoot	Florida Panthers	C/LW/RW	9	3	1	4	-2	4	0	4	15	15	5	13	20.00%	6	133	14.83	0	0	0	0	1	0	0	0	0	37	1	0	60.00%	15	0.60	0	0	0	0
13	Rasmus Sandin	Florida Panthers	D	11	0	4	4	-5	10	0	17	11	13	2	5	0%	7	173	15.77	0	1	1	10	33	0	0	0	0	3	0	0	0%	0	0.46	0	0	0	0
14	Jujhar Khaira	Florida Panthers	C/LW	11	1	2	3	-2	19	5	7	3	13	4	8	7.69%	0	82	7.50	0	0	0	0	0	0	0	0	0	4	1	0	60.42%	48	0.73	1	0	0	1
15	Christian Fischer	Florida Panthers	C/RW	11	1	2	3	0	4	0	6	4	7	1	2	14.29%	0	113	10.32	0	0	0	0	0	1	0	1	1	24	0	0	30.56%	36	0.53	0	0	0	0
16	Shane Pinto	Florida Panthers	C	11	0	3	3	-4	6	0	9	10	17	11	10	0%	2	142	12.94	0	2	2	6	33	0	0	0	0	0	0	0	45.45%	198	0.42	0	0	0	0
17	Zach Aston-Reese	Florida Panthers	C/LW/RW	11	2	0	2	-3	4	0	10	3	7	2	3	28.57%	1	80	7.32	0	0	0	0	0	0	0	0	0	0	1	0	40.00%	10	0.50	0	0	0	0
18	John Marino	Florida Panthers	D	11	0	0	0	-6	4	0	12	12	8	0	4	0%	17	244	22.20	0	0	0	0	0	0	0	0	0	36	0	0	0%	0	0	0	0	0	0
19	Mark Kastelic	Florida Panthers	C	4	0	0	0	-3	0	0	1	5	1	0	3	0%	1	34	8.55	0	0	0	0	0	0	0	0	0	0	0	0	44.12%	34	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				198	42	74	116	-22	115	5	227	243	411	113	267	10.22%	120	3462	17.49	15	25	40	119	414	2	3	5	8	294	6	2	50.22%	1131	0.67	1	5	5	7

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	A	EG	PS %	ST	BG	S1
1	Linus Ullmark	Florida Panthers	11	6	4	1	0.898	3.52	648	38	372	1	1	0	11	0	2
2	Cal Petersen	Florida Panthers	2	0	0	0	0.878	5.09	59	5	41	0	0	0	0	11	0
Statistiques d’équipe totales ou en moyenne			13	6	4	1	0.896	3.64	708	43	413	1	1		11	11	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	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
Alec Martinez	Florida Panthers	D	36	7/28/1987	No	210 Lbs	6 ft1	No	No	N/A		No	No	2	Pro & Farm	4,250,000$	4,250,000$	0$	No	4,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Alexander Kerfoot	Florida Panthers	C/LW/RW	29	8/11/1994	No	186 Lbs	5 ft11	No	No	N/A		No	No	1	Pro & Farm	3,500,000$	3,500,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Alexander Romanov	Florida Panthers	D	23	1/6/2000	No	215 Lbs	6 ft1	No	No	N/A		No	No	1	Pro & Farm	925,000$	925,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Andre Burakovsky	Florida Panthers	LW/RW	28	2/9/1995	No	209 Lbs	6 ft3	No	No	N/A		No	No	4	Pro & Farm	6,250,000$	6,250,000$	0$	No	6,250,000$	6,250,000$	6,250,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Andrew Mangiapane	Florida Panthers	C/LW/RW	27	4/4/1996	No	184 Lbs	5 ft10	No	No	Trade	2/19/2024	No	No	1	Pro & Farm	2,000,000$	2,000,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Cal Petersen	Florida Panthers	G	28	10/19/1994	No	185 Lbs	6 ft2	No	No	N/A		No	No	3	Pro & Farm	1,000,000$	1,000,000$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Christian Fischer	Florida Panthers	C/RW	26	4/15/1997	No	212 Lbs	6 ft2	No	No	N/A		No	No	3	Pro & Farm	832,500$	832,500$	0$	No	832,500$	832,500$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Evgenii Dadonov	Florida Panthers	LW/RW	34	3/12/1989	No	189 Lbs	5 ft11	No	No	Trade	2/19/2024	No	No	1	Pro & Farm	3,600,000$	3,600,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Filip Hronek	Florida Panthers	D	25	11/2/1997	No	190 Lbs	6 ft0	No	No	N/A		No	No	4	Pro & Farm	4,500,000$	4,500,000$	0$	No	4,500,000$	4,500,000$	4,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Lien
Jack Hughes	Florida Panthers	C/LW/RW	22	5/14/2001	No	175 Lbs	5 ft11	No	No	N/A		No	No	1	Pro & Farm	925,000$	925,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
John Marino	Florida Panthers	D	26	5/21/1997	No	181 Lbs	6 ft1	No	No	N/A		No	No	2	Pro & Farm	1,750,000$	1,750,000$	0$	No	1,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Jujhar Khaira	Florida Panthers	C/LW	29	8/13/1994	No	212 Lbs	6 ft4	No	No	N/A		No	No	3	Pro & Farm	950,000$	950,000$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Leon Draisaitl	Florida Panthers	C/LW/RW	27	10/27/1995	No	208 Lbs	6 ft2	No	No	N/A		No	No	2	Pro & Farm	9,000,000$	9,000,000$	0$	No	9,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Linus Ullmark	Florida Panthers	G	30	7/31/1993	No	212 Lbs	6 ft5	No	No	N/A		No	No	2	Pro & Farm	3,500,000$	3,500,000$	0$	No	3,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Mark Kastelic	Florida Panthers	C	23	11/3/1999	Yes	233 Lbs	6 ft3	No	No	N/A		No	No	1	Pro & Farm	830,000$	830,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Mason Marchment	Florida Panthers	LW/RW	28	6/18/1995	No	210 Lbs	6 ft4	No	No	N/A		No	No	2	Pro & Farm	792,500$	792,500$	0$	No	792,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Mika Zibanejad	Florida Panthers	C/LW/RW	30	4/18/1993	No	202 Lbs	6 ft2	No	No	N/A		No	No	3	Pro & Farm	4,750,000$	4,750,000$	0$	No	4,750,000$	4,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Noah Juulsen	Florida Panthers	D	26	4/2/1997	No	201 Lbs	6 ft2	No	No	N/A		No	No	2	Pro & Farm	750,000$	750,000$	0$	No	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Radim Simek	Florida Panthers	D	31	9/20/1992	No	204 Lbs	6 ft0	No	No	N/A		No	No	2	Pro & Farm	2,150,000$	2,150,000$	0$	No	2,150,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Rasmus Sandin	Florida Panthers	D	23	3/7/2000	Yes	182 Lbs	5 ft11	No	No	N/A		No	No	3	Pro & Farm	1,200,000$	1,200,000$	0$	No	1,200,000$	1,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Lien
Scott Mayfield	Florida Panthers	D	30	10/4/1992	No	220 Lbs	6 ft5	No	No	N/A		No	No	2	Pro & Farm	1,750,000$	1,750,000$	0$	No	1,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Lien
Shane Pinto	Florida Panthers	C	22	11/12/2000	Yes	201 Lbs	6 ft3	No	No	N/A		No	No	1	Pro & Farm	925,000$	925,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien
Zach Aston-Reese	Florida Panthers	C/LW/RW	29	8/10/1994	No	205 Lbs	6 ft1	No	No	N/A		No	No	1	Pro & Farm	1,725,000$	1,725,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	27.48	201 Lbs	6 ft2	2.04	2,515,435$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
57,855,000$	43,425,000$	19,482,500$	10,750,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jack Hughes	Mika Zibanejad	Andrew Mangiapane	36	0	2	3
2	Mason Marchment	Leon Draisaitl	Andre Burakovsky	34	0	1	4
3	Evgenii Dadonov	Shane Pinto	Alexander Kerfoot	20	0	2	3
4	Jujhar Khaira	Christian Fischer	Zach Aston-Reese	10	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Alec Martinez	Filip Hronek	38	0	4	1
2	John Marino	Scott Mayfield	37	0	4	1
3	Rasmus Sandin	Alexander Romanov	22	1	3	1
4	Rasmus Sandin	Filip Hronek	3	0	2	3

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Mika Zibanejad	Leon Draisaitl	Jack Hughes	78	0	0	5
2	Mason Marchment	Shane Pinto	Andrew Mangiapane	22	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Filip Hronek	Andre Burakovsky	75	0	0	5
2	Scott Mayfield	Rasmus Sandin	25	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mika Zibanejad	Alexander Kerfoot	70	0	4	1
2	Jujhar Khaira	Christian Fischer	30	0	4	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Alec Martinez	John Marino	60	1	4	0
2	Alexander Romanov	Scott Mayfield	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Mika Zibanejad	60	0	5	0	Alec Martinez	John Marino	70	0	5	0
2	Alexander Kerfoot	40	0	5	0	Alexander Romanov	Scott Mayfield	30	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Leon Draisaitl	Jack Hughes	60	0	1	4
2	Mika Zibanejad	Andrew Mangiapane	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Scott Mayfield	Filip Hronek	60	1	3	1
2	John Marino	Alexander Romanov	40	1	3	1

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jack Hughes	Leon Draisaitl	Mika Zibanejad	Rasmus Sandin	Filip Hronek

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jujhar Khaira	Alexander Kerfoot	Andrew Mangiapane	Alec Martinez	John Marino

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Leon Draisaitl, Mika Zibanejad, Andrew Mangiapane	Evgenii Dadonov, Alexander Kerfoot	Christian Fischer

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
John Marino, Alec Martinez, Scott Mayfield	Alexander Romanov	Filip Hronek, Rasmus Sandin

Tirs de pénalité
Leon Draisaitl, Jack Hughes, Mika Zibanejad, Andrew Mangiapane, Andre Burakovsky

Gardien
#1 : Linus Ullmark, #2 : Cal Petersen

Lignes d’attaque personnalisées en prolongation
Leon Draisaitl, Jack Hughes, Mika Zibanejad, Andrew Mangiapane, Evgenii Dadonov, Mason Marchment, Mason Marchment, Alexander Kerfoot, Shane Pinto, Christian Fischer, Jujhar Khaira

Lignes de défense personnalisées en prolongation
John Marino, Filip Hronek, Scott Mayfield, Alec Martinez, Alexander Romanov

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	New Jersey Devils	5	4	1	0	0	0	0	0	20	15	5	3	2	1	0	0	0	0	0	12	11	1	2	2	0	0	0	0	0	0	8	4	4	8	0.800	20	35	55	1	0	8	4	6	2	228	62	79	67	20	182	51	36	102	31	9	29.03%	17	5	70.59%	0	230	462	49.78%	240	479	50.10%	98	190	51.58%	136	93	124	40	74	38
2	Ottawa Senators	6	2	4	0	0	0	0	0	22	29	-7	3	2	1	0	0	0	0	0	12	14	-2	3	0	3	0	0	0	0	0	10	15	-5	4	0.333	22	39	61	0	0	10	4	8	0	183	84	42	53	4	232	69	79	125	26	6	23.08%	31	8	74.19%	2	230	462	49.78%	240	479	50.10%	98	190	51.58%	136	91	161	46	76	37
	Total	11	6	5	0	0	0	0	0	42	44	-2	6	4	2	0	0	0	0	0	24	25	-1	5	2	3	0	0	0	0	0	18	19	-1	12	0.545	42	74	116	1	0	18	8	14	2	411	146	121	120	24	414	120	115	227	57	15	26.32%	48	13	72.92%	2	230	462	49.78%	240	479	50.10%	98	190	51.58%	272	184	285	87	150	75
	_Since Last GM Reset	11	6	5	0	0	0	0	0	42	44	-2	6	4	2	0	0	0	0	0	24	25	-1	5	2	3	0	0	0	0	0	18	19	-1	12	0.545	42	74	116	1	0	18	8	14	2	411	146	121	120	24	414	120	115	227	57	15	26.32%	48	13	72.92%	2	230	462	49.78%	240	479	50.10%	98	190	51.58%	272	184	285	87	150	75
	_Vs Conference	11	6	5	0	0	0	0	0	42	44	-2	6	4	2	0	0	0	0	0	24	25	-1	5	2	3	0	0	0	0	0	18	19	-1	12	0.545	42	74	116	1	0	18	8	14	2	411	146	121	120	24	414	120	115	227	57	15	26.32%	48	13	72.92%	2	230	462	49.78%	240	479	50.10%	98	190	51.58%	272	184	285	87	150	75
	_Vs Division	6	2	4	0	0	0	0	0	22	29	-7	3	2	1	0	0	0	0	0	12	14	-2	3	0	3	0	0	0	0	0	10	15	-5	4	0.333	22	39	61	0	0	10	4	8	0	183	84	42	53	4	232	69	79	125	26	6	23.08%	31	8	74.19%	2	230	462	49.78%	240	479	50.10%	98	190	51.58%	136	91	161	46	76	37

			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
11	12	L3	42	74	116	411	414	120	115	227	1	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	6	5	0	0	0	0	42	44

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	24	25

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	18	19

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
4	3	2	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
57	15	26.32%	48	13	72.92%	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
146	121	120	24	18	8	14	2

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
230	462	49.78%	240	479	50.10%	98	190	51.58%

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
272	184	285	87	150	75

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	1	New Jersey Devils	5	Florida Panthers	3	BL		Sommaire du match
3	9	New Jersey Devils	5	Florida Panthers	6	BW	X	Sommaire du match
5	17	Florida Panthers	3	New Jersey Devils	2	AW	X	Sommaire du match
7	25	Florida Panthers	5	New Jersey Devils	2	AW		Sommaire du match
9	33	New Jersey Devils	1	Florida Panthers	3	BW		Sommaire du match
15	57	Ottawa Senators	4	Florida Panthers	5	BW		Sommaire du match
17	61	Ottawa Senators	2	Florida Panthers	4	BW		Sommaire du match
19	65	Florida Panthers	3	Ottawa Senators	4	AL	X	Sommaire du match
21	69	Florida Panthers	3	Ottawa Senators	4	AL		Sommaire du match
23	73	Ottawa Senators	8	Florida Panthers	3	BL		Sommaire du match
25	77	Florida Panthers	4	Ottawa Senators	7	AL		Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des billets	90	60	50	25	130
Assistance	36,000	30,000	12,000	24,000	6,000
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
35	18000 - 100.00%	1,708,200$	10,249,200$	18000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	57,855,000$	48,327,020$	0$	2,000,000$

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$	23	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$	23,213,459$	23,213,459$

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

Jack Hughes	AGE:22	PO:92	OV:0
Leon Draisaitl	AGE:27	PO:74	OV:0
Mika Zibanejad	AGE:30	PO:70	OV:0
Andre Burakovsky	AGE:28	PO:67	OV:0
Jujhar Khaira	AGE:29	PO:55	OV:0
Sammy Blais (R)	AGE:27	PO:42	OV:0
Andrew Mangiapane	AGE:27	PO:42	OV:0
Andy Andreoff	AGE:32	PO:40	OV:0
Alexander Kerfoot	AGE:29	PO:40	OV:0
Zach Aston-Reese	AGE:29	PO:36	OV:0
Mason Marchment	AGE:28	PO:36	OV:0
Evgenii Dadonov	AGE:34	PO:35	OV:0
Brian Boyle	AGE:38	PO:11	OV:0
Dillon Hamaliuk (R)	AGE:22	PO:11	OV:0

Jack Hughes	AGE:22	PO:92	OV:0
Mavrik Bourque (R)	AGE:21	PO:78	OV:0
Shane Pinto (R)	AGE:22	PO:77	OV:0
Leon Draisaitl	AGE:27	PO:74	OV:0
Christian Fischer	AGE:26	PO:73	OV:0
Mika Zibanejad	AGE:30	PO:70	OV:0
Mark Kastelic (R)	AGE:23	PO:57	OV:0
Jujhar Khaira	AGE:29	PO:55	OV:0
Andrew Mangiapane	AGE:27	PO:42	OV:0
Josh Dunne	AGE:24	PO:42	OV:0
Andy Andreoff	AGE:32	PO:40	OV:0
Alexander Kerfoot	AGE:29	PO:40	OV:0
Zach Aston-Reese	AGE:29	PO:36	OV:0
Brian Boyle	AGE:38	PO:11	OV:0
Cedric Paquette	AGE:30	PO:11	OV:0

Jack Hughes	AGE:22	PO:92	OV:0
Leon Draisaitl	AGE:27	PO:74	OV:0
Christian Fischer	AGE:26	PO:73	OV:0
Mika Zibanejad	AGE:30	PO:70	OV:0
Andre Burakovsky	AGE:28	PO:67	OV:0
Martin Frk	AGE:29	PO:58	OV:0
Sammy Blais (R)	AGE:27	PO:42	OV:0
Andrew Mangiapane	AGE:27	PO:42	OV:0
Alexander Kerfoot	AGE:29	PO:40	OV:0
Zach Aston-Reese	AGE:29	PO:36	OV:0
Mason Marchment	AGE:28	PO:36	OV:0
Evgenii Dadonov	AGE:34	PO:35	OV:0
Brian Boyle	AGE:38	PO:11	OV:0

Défense #1

Défense #2

Gardien

Alexander Romanov	AGE:23	PO:98	OV:0
Rasmus Sandin (R)	AGE:23	PO:79	OV:0
Noah Juulsen	AGE:26	PO:76	OV:0
Filip Hronek	AGE:25	PO:69	OV:0
Scott Mayfield	AGE:30	PO:60	OV:0
Isaak Phillips	AGE:22	PO:56	OV:0

John Marino	AGE:26	PO:47	OV:0
Chris Wideman	AGE:33	PO:37	OV:0
Radim Simek	AGE:31	PO:34	OV:0
Alec Martinez	AGE:36	PO:30	OV:0
Jesper Sellgren (R)	AGE:25	PO:11	OV:0

Anton Khudobin	AGE:37	PO:99	OV:0
Keith Kinkaid	AGE:34	PO:99	OV:0
Linus Ullmark	AGE:30	PO:99	OV:0
Cal Petersen	AGE:28	PO:99	OV:0
Jack LaFontaine (R)	AGE:25	PO:99	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
Andrew Cristall	Florida Panthers	0	0
Carson Bjarnason	Florida Panthers	0	0
Danny Zhilkin	Florida Panthers	0	0
Dillon Hamaliuk	Florida Panthers	0	0
Fedor Gordeev	Florida Panthers	0	0
Jan Bednar	Florida Panthers	0	0
Luke Tuch	Florida Panthers	0	0
Mikhaïl Grigorenko	Florida Panthers	0	0
Nikola Pasic	Florida Panthers	0	0
Owen Pickering	Florida Panthers	0	0
Philippe Maillet	Florida Panthers	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
21	FLO	FLO DAL MIN STL	EDM FLO	CAL
22	FLO	FLO	FLO	FLO BOS	FLO	NAS	FLO VGK
23	FLO	FLO	FLO	FLO	FLO	FLO	FLO
24	FLO	FLO	FLO	FLO	FLO	FLO	FLO
25	FLO	FLO	FLO	FLO	FLO	FLO	FLO
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.

Florida Panthers Historique de transactions

[4/29/2024 8:57:12 PM] - Florida Panthers was eliminated at round 2 of year 20.
[4/11/2024 8:11:33 PM] - Charlotte Checkers was eliminated at round 1 of year 20.
[2/24/2024 8:15:13 PM] - New Record for Team's Most Shots (61) in 1 Game for Florida Panthers!
[2/21/2024 8:24:38 PM] - Jack Hughes has been selected as assistant for Florida Panthers.
[2/21/2024 8:24:38 PM] - Unknown Player is no longer as assistant for Florida Panthers.
[2/20/2024 8:43:31 PM] - Spenser Jensen has been deleted from Florida Panthers.
[2/19/2024 9:10:41 PM] - TRADE : From Minnesota Wild to Florida Panthers : Andrew Mangiapane, Danny Zhilkin (P), Y:21-RND:2-MIN, Y:21-RND:2-STL.
[2/19/2024 9:10:41 PM] - TRADE : From Florida Panthers to Minnesota Wild : Chris Kreider.
[2/19/2024 9:06:30 PM] - TRADE : From Pittsburgh Penguins to Florida Panthers : Evgenii Dadonov.
[2/19/2024 9:06:30 PM] - TRADE : From Florida Panthers to Pittsburgh Penguins : Y:22-RND:7-NAS.
[1/20/2024 8:37:32 PM] - New Record for Team's Most Shots (58) in 1 Game for Florida Panthers!
[1/5/2024 9:03:26 PM] - TRADE : From Nashville Predators to Florida Panthers : Y:21-RND:4-CAL, Y:22-RND:6-NAS, Y:22-RND:7-NAS.
[1/5/2024 9:03:26 PM] - TRADE : From Florida Panthers to Nashville Predators : Robert Bortuzzo.
[12/7/2023 8:49:33 PM] - Zack Torquato has been deleted from Florida Panthers.
[12/7/2023 8:49:20 PM] - Rodrigo Abols has been deleted from Florida Panthers.
[12/7/2023 8:49:17 PM] - Radel Fazleev has been deleted from Florida Panthers.
[12/7/2023 8:49:10 PM] - Oliver Cooper has been deleted from Florida Panthers.
[12/7/2023 8:49:05 PM] - Mikael Johansson has been deleted from Florida Panthers.
[12/7/2023 8:49:01 PM] - Matt Pelech has been deleted from Florida Panthers.
[12/7/2023 8:48:58 PM] - Matt Murphy has been deleted from Florida Panthers.
[12/7/2023 8:48:53 PM] - Logan Halladay has been deleted from Florida Panthers.
[12/7/2023 8:48:38 PM] - Linus Arnesson has been deleted from Florida Panthers.
[12/7/2023 8:48:35 PM] - Liam Pecararo has been deleted from Florida Panthers.
[12/7/2023 8:48:00 PM] - Levko Koper has been deleted from Florida Panthers.
[12/7/2023 8:47:38 PM] - Jespere Sellgren has been deleted from Florida Panthers.
[12/7/2023 8:47:34 PM] - Janik Moser has been deleted from Florida Panthers.
[12/7/2023 8:47:27 PM] - Jack LaFontaine has been deleted from Florida Panthers.
[12/7/2023 8:47:21 PM] - Ivan Telegin has been deleted from Florida Panthers.
[12/7/2023 8:47:18 PM] - Henrik Haapala has been deleted from Florida Panthers.
[12/7/2023 8:47:12 PM] - Ethan Werek has been deleted from Florida Panthers.
[12/7/2023 8:47:02 PM] - Drew Schiestel has been deleted from Florida Panthers.
[12/7/2023 8:47:00 PM] - Curtis Hamilton has been deleted from Florida Panthers.
[12/7/2023 8:46:54 PM] - Connor LaCouvee has been deleted from Florida Panthers.
[12/7/2023 8:46:51 PM] - Conor Mcglynn has been deleted from Florida Panthers.
[12/7/2023 8:46:44 PM] - Colin Jacobs has been deleted from Florida Panthers.
[12/7/2023 8:46:36 PM] - Chase Phelps has been deleted from Florida Panthers.
[12/7/2023 8:46:32 PM] - Beau Starrett has been deleted from Florida Panthers.
[12/7/2023 8:46:29 PM] - Alexi Bereglazov has been deleted from Florida Panthers.
[12/7/2023 8:46:26 PM] - Alex Fotinos has been deleted from Florida Panthers.
[11/14/2023 8:38:47 PM] - New Record for Team's Most Shots (56) in 1 Game for Florida Panthers!
[10/31/2023 9:05:12 PM] - TRADE : From San Jose Sharks to Florida Panthers : Cal Petersen, Luke Tuch (P), Y:21-RND:2-DAL.
[10/31/2023 9:05:12 PM] - TRADE : From Florida Panthers to San Jose Sharks : Philipp Grubauer, Y:21-RND:6-VGK, Y:22-RND:6-FLO.
[10/23/2023 1:41:27 PM] - Florida Panthers hired Dave Hakstol for $1,500,000 for 2 year(s).
[10/23/2023 1:41:01 PM] - Florida Panthers fired Dallas Eakins.
[10/19/2023 1:37:43 PM] - TRADE : From Boston Bruins to Florida Panthers : Owen Pickering (P), Y:22-RND:4-BOS.
[10/19/2023 1:37:43 PM] - TRADE : From Florida Panthers to Boston Bruins : Jonas Brodin.
[10/12/2023 11:26:34 AM] - Chris Kreider has been selected as assistant for Florida Panthers.
[10/12/2023 11:26:34 AM] - Unknown Player is no longer as assistant for Florida Panthers.
[10/12/2023 11:26:34 AM] - Alec Martinez has been selected as assistant for Florida Panthers.
[10/12/2023 11:26:34 AM] - Chris Kreider is no longer as assistant for Florida Panthers.
[10/12/2023 11:26:34 AM] - Leon Draisaitl has been selected as captain for Florida Panthers.
[10/12/2023 11:26:34 AM] - Unknown Player is no longer captain for Florida Panthers.
[10/5/2023 5:55:42 PM] - TRADE : From Florida Panthers to Vegas Golden Knights : Vinnie Hinostroza.
[10/5/2023 5:55:42 PM] - TRADE : From Vegas Golden Knights to Florida Panthers : Y:21-RND:6-VGK, Y:22-RND:7-VGK.
[10/3/2023 3:43:17 PM] - Mark Kastelic has been deleted from Florida Panthers.
[10/1/2023 4:09:29 PM] - Shane Pinto has been deleted from Florida Panthers.

[4/29/2024 8:57:06 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:70.81.109.165 .
[4/29/2024 8:54:41 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:70.81.109.165 .
[4/28/2024 8:01:02 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:184.160.14.212 .
[4/28/2024 8:00:49 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:184.160.14.212 .
[4/27/2024 8:29:37 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:172.97.148.5 .
[4/27/2024 8:29:29 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:172.97.148.5 .
[4/26/2024 8:20:16 PM] Alexander Kerfoot from Florida Panthers is back from Lacerated Right Calf Injury.
[4/25/2024 8:02:43 PM] Mika Zibanejad from Florida Panthers is back from Upper Body Injury.
[4/25/2024 8:02:43 PM] Game 69 - Mika Zibanejad from Florida Panthers is injured (Upper Body) and is out for 1 days.
[4/24/2024 8:10:06 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:142.169.18.10 .
[4/24/2024 8:09:56 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:142.169.18.10 .
[4/24/2024 8:04:46 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:142.169.18.10 .
[4/23/2024 8:16:25 PM] Mika Zibanejad from Florida Panthers is back from Bruised Right Leg Injury.
[4/23/2024 8:16:24 PM] Game 65 - Alexander Kerfoot from Florida Panthers is injured (Lacerated Right Calf) and is out for 6 days.
[4/23/2024 8:16:24 PM] Game 65 - Mika Zibanejad from Florida Panthers is injured (Bruised Right Leg) and is out for the game.
[4/21/2024 8:19:43 PM] Andre Burakovsky from Florida Panthers is back from Right Leg Injury.
[4/20/2024 8:26:10 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:76.71.186.186 .
[4/20/2024 8:26:03 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:76.71.186.186 .
[4/20/2024 8:25:33 PM] Successfully loaded Florida Panthers lines done with Web Base Client and SQLite Database from IP:76.71.186.186 .
[4/19/2024 8:08:23 PM] Game 57 - Andre Burakovsky from Florida Panthers is injured (Right Leg) and is out for 5 days.
[4/11/2024 8:11:33 PM] Charlotte Checkers lines for next game are empty. Current rosters/lines are not erased. But, Florida Panthers 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] Charlotte Checkers lines for next game are empty. Current rosters/lines are not erased. But, Florida Panthers lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[4/7/2024 8:03:38 PM] Charlotte Checkers lines for next game are empty. Current rosters/lines are not erased. But, Florida Panthers 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] Charlotte Checkers lines for next game are empty. Current rosters/lines are not erased. But, Florida Panthers 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.

Florida Panthers 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

Florida Panthers 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

Florida Panthers 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

Florida Panthers 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

Florida Panthers 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

	Florida Panthers
	GP: 11 \| W: 6 \| L: 5 GF: 42 \| GA: 44 \| PP%: 26.32% \| PK%: 72.92% DG: Xavier Berard \| Morale : 99 \| Moyenne d’équipe : N/A