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

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	NFHL
	Entraîneur	Dean Evason
	Division	Atlantic Division
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Amalie Arena
	Capacité	19,500
	Assistance
	Billets de saison	7,800
Informations de la formation
	Équipe Pro	16
	Équipe Mineure	19
	Limite contact	35 / 65
	Espoirs	17
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	82,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	16
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	131,802,233$
	Compte bancaire projeté	131,802,233$

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	Nick Schmaltz	X				100.00	62	50	94	89	69	86	94	80	71	79	75	69	69	53	60	0	99	0	0	28	3	5,650,000$
2	Artturi Lehkonen		X	X		100.00	70	50	92	89	68	85	83	80	61	76	78	79	65	60	61	0	99	0	0	29	3	3,250,000$
3	Reese Johnson	X				100.00	80	60	86	66	73	77	82	69	69	65	66	80	65	58	63	0	99	0	0	26	1	1,100,000$
4	Mattias Janmark-Nylen	X				100.00	67	54	89	70	78	78	91	70	64	66	66	78	65	65	69	0	99	0	0	32	1	1,200,000$
5	Casey Cizikas	X				100.00	75	50	92	79	73	80	91	73	77	69	69	82	65	70	67	0	99	0	0	33	2	2,700,000$
6	Michael Rasmussen	X				100.00	73	52	89	83	84	82	92	75	66	71	70	81	65	55	60	0	99	0	0	25	2	1,900,000$
7	Ryan Donato	X				100.00	72	54	92	82	72	80	93	74	64	70	70	71	66	53	60	0	99	0	0	28	3	2,650,000$
8	MacKenzie Weegar				X	100.00	78	52	89	90	77	89	95	84	25	77	80	85	65	59	63	0	99	0	0	30	2	3,562,500$
9	Noah Dobson				X	100.00	70	50	91	95	77	91	94	90	25	92	74	77	66	51	59	0	99	0	0	24	2	4,200,000$
10	Dante Fabbro				X	100.00	68	50	91	81	72	83	87	74	25	69	68	76	65	51	59	0	99	0	0	26	1	2,100,000$
11	Jon Merrill				X	100.00	65	50	91	76	78	79	89	71	25	66	69	70	65	60	65	0	99	0	0	32	2	650,000$
12	Colin Miller				X	100.00	75	50	90	77	76	82	84	72	25	66	71	75	65	66	67	0	99	0	0	32	2	1,500,000$
13	Timothy Liljegren				X	100.00	73	50	93	87	72	86	86	78	25	76	68	78	65	56	63	0	99	0	0	25	1	1,750,000$
Rayé
1	Brock Boeser		X	X		100.00	66	50	94	89	78	85	94	83	62	76	83	67	65	51	60	0	99	0	0	27	7	5,350,000$
Équipe Mineure
1	Jerry Turkulainen		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	54	63	0	66	0	0	26	1	716,625$
2	Linus Karlsson	X				100.00	60	50	90	73	68	77	90	66	64	67	65	68	65	50	55	0	99	0	0	25	1	975,000$
3	John Beecher	X				100.00	76	54	91	72	82	77	91	70	85	65	69	81	65	46	55	0	99	0	0	23	1	1,500,000$
4	Antonio Stranges	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	48	55	0	68	0	0	22	1	825,000$
5	Tyler Boucher		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	42	55	0	28	0	0	21	1	1,500,000$
6	Brett Harrison	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	46	55	0	76	0	0	21	1	975,000$
7	Mathias Emilio Pettersen	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	50	60	0	16	0	0	24	1	866,250$
8	Jean-Luc Foudy	X				100.00	60	50	89	69	67	75	79	64	61	65	63	65	65	49	57	0	99	0	0	22	1	1,312,500$
9	Andre Lee	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	46	55	0	71	0	0	24	1	735,000$
10	Nicholas Abruzzese	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	46	55	0	58	0	0	25	1	787,500$
11	Trevor Janicke (R)	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	24	2	975,000$
12	Gunnarwolfe Fontaine (R)	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	24	2	750,000$
13	Tristan Broz (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	22	2	1,250,000$
14	Rasmus Kumpulainen (R)	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	19	3	975,000$
15	Matt Kiersted				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	52	60	0	77	0	0	26	1	790,079$
16	Chris Hedden				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	29	0	0	22	2	650,000$
17	Angus Booth (R)				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	20	3	825,000$

	MOYENNE D’ÉQUIPE					100.00	63	53	75	69	66	70	74	66	54	64	64	66	61	45	50	0	70	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	SP	Âge	Contrat	Salaire
1	Jeremy Swayman	100.00	77	84	82	80	81	82	84	82	87	83	90	49	58	0	99	0	0	26	1	2,450,000$
2	James Reimer	100.00	70	79	75	81	79	73	76	74	80	69	73	75	72	0	99	0	0	36	1	1,350,000$
Rayé
Équipe Mineure
1	Luke Pavicich	100.00	55	55	55	55	55	55	55	55	55	55	55	40	55	0	65	0	0	22	1	650,000$
2	Ian Shane	100.00	55	55	55	55	55	55	55	55	55	55	55	40	55	0	24	0	0	24	2	650,000$

	MOYENNE D’ÉQUIPE	100.00	64	68	67	68	68	66	68	67	69	66	68	51	60	0	72	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Dean Evason	75	85	81	84	80	82	1	CAN	60	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

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Pays	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Acquis Par	Ballotage forcé	Waiver Possible	Contrat	Date du Signature du Contrat	Forcer UFA	Rappel d'urgence	Type	Salaire actuel	Salaire restant	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire année 2	Salaire année 3	Salaire année 4	Salaire année 5	Salaire année 6	Salaire année 7	Salaire année 8	Salaire année 9	Salaire année 10	Plafond salarial année 2	Plafond salarial année 3	Plafond salarial année 4	Plafond salarial année 5	Plafond salarial année 6	Plafond salarial année 7	Plafond salarial année 8	Plafond salarial année 9	Plafond salarial année 10	Non-échange année 2	Non-échange année 3	Non-échange année 4	Non-échange année 5	Non-échange année 6	Non-échange année 7	Non-échange année 8	Non-échange année 9	Non-échange année 10
Artturi Lehkonen	Lightning	LW/RW	29	1995-07-04	FIN	No	179 Lbs	5 ft11	No	No	N/A	No	No	3		False	False	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	3,250,000$	No	2,437,500$	2,437,500$	-	-	-	-	-	-	-	3,250,000$	3,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Brock Boeser	Lightning	LW/RW	27	1997-02-25	USA	No	208 Lbs	6 ft1	No	No	N/A	No	No	7	2024-08-31	False	False	Pro & Farm	5,350,000$	5,350,000$	5,350,000$	5,350,000$	No	5,350,000$	5,350,000$	5,350,000$	5,350,000$	5,350,000$	5,350,000$	-	-	-	5,350,000$	5,350,000$	5,350,000$	5,350,000$	5,350,000$	5,350,000$	-	-	-	No	No	No	No	No	No	-	-	-
Casey Cizikas	Lightning	C	33	1991-02-27	CAN	No	194 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	2,700,000$	2,700,000$	2,700,000$	2,700,000$	No	2,700,000$	-	-	-	-	-	-	-	-	2,700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Colin Miller	Lightning	D	32	1992-10-29	CAN	No	200 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Dante Fabbro	Lightning	D	26	1998-06-20	CAN	No	189 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	2,100,000$	2,100,000$	2,100,000$	2,100,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
James Reimer	Lightning	G	36	1988-03-15	CAN	No	200 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	1,350,000$	1,350,000$	1,350,000$	1,350,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jeremy Swayman	Lightning	G	26	1998-11-24	USA	No	195 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	2,450,000$	2,450,000$	2,450,000$	2,450,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jon Merrill	Lightning	D	32	1992-02-03	USA	No	204 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	650,000$	650,000$	650,000$	650,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
MacKenzie Weegar	Lightning	D	30	1994-01-07	CAN	No	206 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	3,562,500$	3,562,500$	4,750,000$	4,750,000$	No	3,562,500$	-	-	-	-	-	-	-	-	4,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Mattias Janmark-Nylen (contrat à 1 volet)	Lightning	C	32	1992-12-08	SWE	No	205 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	1,200,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Michael Rasmussen (contrat à 1 volet)	Lightning	C	25	1999-04-17	CAN	No	220 Lbs	6 ft6	No	No	N/A	No	No	2		False	False	Pro & Farm	1,900,000$	1,900,000$	1,900,000$	1,900,000$	No	1,900,000$	-	-	-	-	-	-	-	-	1,900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Nick Schmaltz	Lightning	C	28	1996-02-23	USA	No	181 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	5,650,000$	5,650,000$	5,650,000$	5,650,000$	No	5,650,000$	5,650,000$	-	-	-	-	-	-	-	5,650,000$	5,650,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Noah Dobson	Lightning	D	24	2000-01-07	CAN	No	200 Lbs	6 ft4	No	No	N/A	No	No	2		False	False	Pro & Farm	4,200,000$	4,200,000$	3,500,000$	3,500,000$	No	4,200,000$	-	-	-	-	-	-	-	-	3,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Reese Johnson	Lightning	C	26	1998-07-10	CAN	No	193 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	1,100,000$	1,100,000$	1,100,000$	1,100,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan Donato	Lightning	C	28	1996-04-09	USA	No	190 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	2,650,000$	2,650,000$	2,650,000$	2,650,000$	No	2,650,000$	2,650,000$	-	-	-	-	-	-	-	2,650,000$	2,650,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Timothy Liljegren (contrat à 1 volet)	Lightning	D	25	1999-04-30	SWE	No	190 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	1,750,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
16	28.69	197 Lbs	6 ft1	2.13	2,585,156$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
41,362,500$	30,600,000$	16,087,500$	5,350,000$	5,350,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nick Schmaltz	Michael Rasmussen		33	1	2	2
2	Artturi Lehkonen		Ryan Donato	32	1	2	2
3	Mattias Janmark-Nylen	Casey Cizikas		25	1	2	2
4	Reese Johnson	Casey Cizikas	Artturi Lehkonen	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Timothy Liljegren	Jon Merrill	33	1	2	2
2			30	1	2	2
3	MacKenzie Weegar	Noah Dobson	25	1	2	2
4	MacKenzie Weegar	Dante Fabbro	12	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Nick Schmaltz	Michael Rasmussen		50	1	2	2
2	Artturi Lehkonen		Casey Cizikas	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Timothy Liljegren		50	1	2	2
2	Noah Dobson		50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Michael Rasmussen	Mattias Janmark-Nylen	50	1	2	2
2	Casey Cizikas	Reese Johnson	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Timothy Liljegren	MacKenzie Weegar	50	1	2	2
2	Dante Fabbro		50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Reese Johnson	50	1	2	2	Timothy Liljegren	MacKenzie Weegar	50	1	2	2
2	Nick Schmaltz	50	1	2	2	Dante Fabbro		50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Nick Schmaltz	50	1	2	2
2		Michael Rasmussen	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Noah Dobson	50	1	2	2
2	Dante Fabbro		50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nick Schmaltz	Michael Rasmussen	Artturi Lehkonen	Noah Dobson	Jon Merrill

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Nick Schmaltz	Michael Rasmussen	Reese Johnson	Timothy Liljegren	MacKenzie Weegar

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Artturi Lehkonen, , Casey Cizikas	Casey Cizikas,	Casey Cizikas

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Timothy Liljegren, Dante Fabbro, MacKenzie Weegar	Timothy Liljegren	Dante Fabbro,

Tirs de pénalité
Michael Rasmussen, Nick Schmaltz, , Mattias Janmark-Nylen,

Gardien
#1 : Jeremy Swayman, #2 : James Reimer

Lignes d’attaque personnalisées en prolongation
Nick Schmaltz, Michael Rasmussen, , Reese Johnson, , Artturi Lehkonen, Artturi Lehkonen, , Casey Cizikas, Mattias Janmark-Nylen, Ryan Donato

Lignes de défense personnalisées en prolongation
MacKenzie Weegar, Dante Fabbro, , Noah Dobson, Timothy Liljegren

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			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
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	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
0	0	0%	0	0	0%	0

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
0	0	0	0	0	0	0	0

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
0	0	0%	0	0	0%	0	0	0%

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
0	0	0	0	0	0

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	RI	Lien

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6250	5250	2600	4200	1200
Prix des billets	90	50	29	18	205
Assistance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0%	0$	0$	19500	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Plafond Salariale total des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
0$	41,362,500$	41,850,000$	1,000,000$0$	0$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
0$	0$	0$	16	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$	131,802,233$	131,802,233$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	82,000,000$	82,000,000$	-52,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Jerry Turkulainen	AGE:26	PO:0	OV:0
Artturi Lehkonen	AGE:29	PO:0	OV:0
Brock Boeser	AGE:27	PO:0	OV:0
Andre Lee	AGE:24	PO:0	OV:0
Nicholas Abruzzese	AGE:25	PO:0	OV:0
Antonio Stranges	AGE:22	PO:0	OV:0
Tyler Boucher	AGE:21	PO:0	OV:0
Trevor Janicke (R)	AGE:24	PO:0	OV:0
Gunnarwolfe Fontaine (R)	AGE:24	PO:0	OV:0

Nick Schmaltz	AGE:28	PO:0	OV:0
Mathias Emilio Pettersen	AGE:24	PO:0	OV:0
Reese Johnson	AGE:26	PO:0	OV:0
Mattias Janmark-Nylen	AGE:32	PO:0	OV:0
Linus Karlsson	AGE:25	PO:0	OV:0
John Beecher	AGE:23	PO:0	OV:0
Jean-Luc Foudy	AGE:22	PO:0	OV:0
Casey Cizikas	AGE:33	PO:0	OV:0
Michael Rasmussen	AGE:25	PO:0	OV:0
Ryan Donato	AGE:28	PO:0	OV:0
Andre Lee	AGE:24	PO:0	OV:0
Nicholas Abruzzese	AGE:25	PO:0	OV:0
Antonio Stranges	AGE:22	PO:0	OV:0
Brett Harrison	AGE:21	PO:0	OV:0
Trevor Janicke (R)	AGE:24	PO:0	OV:0
Gunnarwolfe Fontaine (R)	AGE:24	PO:0	OV:0
Tristan Broz (R)	AGE:22	PO:0	OV:0
Rasmus Kumpulainen (R)	AGE:19	PO:0	OV:0

Jerry Turkulainen	AGE:26	PO:0	OV:0
Artturi Lehkonen	AGE:29	PO:0	OV:0
Brock Boeser	AGE:27	PO:0	OV:0
Andre Lee	AGE:24	PO:0	OV:0
Nicholas Abruzzese	AGE:25	PO:0	OV:0
Antonio Stranges	AGE:22	PO:0	OV:0
Tyler Boucher	AGE:21	PO:0	OV:0
Trevor Janicke (R)	AGE:24	PO:0	OV:0
Gunnarwolfe Fontaine (R)	AGE:24	PO:0	OV:0

Défense #1

Défense #2

Gardien

Matt Kiersted	AGE:26	PO:0	OV:0
MacKenzie Weegar	AGE:30	PO:0	OV:0
Noah Dobson	AGE:24	PO:0	OV:0
Dante Fabbro	AGE:26	PO:0	OV:0
Jon Merrill	AGE:32	PO:0	OV:0

Colin Miller	AGE:32	PO:0	OV:0
Timothy Liljegren	AGE:25	PO:0	OV:0
Chris Hedden	AGE:22	PO:0	OV:0
Angus Booth (R)	AGE:20	PO:0	OV:0

Jeremy Swayman	AGE:26	PO:0	OV:0
Luke Pavicich	AGE:22	PO:0	OV:0
James Reimer	AGE:36	PO:0	OV:0
Ian Shane	AGE:24	PO:0	OV:0

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total	Information	Date de la Dernière Transaction	Lien
Cameron Lund	Lightning	0	0
Cayden Lindstrom	Lightning	0	0
Charlie Stramel	Lightning	0	0
Christopher Pelosi	Lightning	0	0
Dmitriy Simashev	Lightning	0	0
Ivan Yunin	Lightning	0	0
Jaden Lipinski	Lightning	0	0
Kamil Bednarik	Lightning	0	0
Maveric Lamoureux	Lightning	0	0
Nikita Artamonov	Lightning	0	0
Nikita Ishimnikov	Lightning	0	0
Ryan Hofer	Lightning	0	0
Samuel Savoie	Lightning	0	0
Simon-Pier Brunet	Lightning	0	0
Tory Pitner	Lightning	0	0
Trevor Hoskin	Lightning	0	0
William Wallinder	Lightning	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2024	TBL	TBL	TBL	TBL	TBL	TBL	TBL
2025	TBL	TBL	TBL	TBL	TBL	TBL	TBL
2026	TBL	TBL	TBL	TBL	TBL	TBL	TBL
2027	TBL	TBL	TBL	TBL	TBL	TBL	TBL
2028	TBL	TBL	TBL	TBL	TBL	TBL	TBL
Choix au repêchage conditionnel

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

Lightning Historique de transactions

[29.01.2025 13:08:45] - General Manager Change : Lightning hired general manager NFHL
[29.01.2025 13:08:45] - General Manager Change : Lightning fired general manager Julian
[29.01.2025 13:08:27] - Michael Vukojevic was released.
[29.01.2025 13:08:27] - Lightning paid $0 to release Michael Vukojevic.
[29.01.2025 13:08:18] - Mason Primeau was released.
[29.01.2025 13:08:18] - Lightning paid $0 to release Mason Primeau.
[29.01.2025 13:08:11] - Jacob Olofsson was released.
[29.01.2025 13:08:11] - Lightning paid $0 to release Jacob Olofsson.
[29.01.2025 13:08:00] - Rudolfs Balcers was released.
[29.01.2025 13:08:00] - Lightning paid $0 to release Rudolfs Balcers.
[08.09.2024 18:17:39] - Tory Pitner has been added to Lightning.
[08.09.2024 18:17:39] - Ivan Yunin has been added to Lightning.
[08.09.2024 18:17:39] - Simon-Pier Brunet has been added to Lightning.
[08.09.2024 18:17:39] - Trevor Hoskin has been added to Lightning.
[08.09.2024 18:17:39] - Kamil Bednarik has been added to Lightning.
[08.09.2024 18:17:39] - Nikita Artamonov has been added to Lightning.
[08.09.2024 18:17:39] - Cayden Lindstrom has been added to Lightning.
[31.08.2024 09:59:42] - General Manager Change : Lightning hired general manager Julian
[31.08.2024 09:59:42] - General Manager Change : Lightning fired general manager NFHL
[31.08.2024 09:31:23] - Rasmus Kumpulainen was added to Lightning.
[31.08.2024 09:30:32] - Trevor Janicke was added to Lightning.
[31.08.2024 09:30:30] - Tristan Broz was added to Lightning.
[31.08.2024 09:30:19] - Gunnarwolfe Fontaine was added to Lightning.
[31.08.2024 09:30:16] - Angus Booth was added to Lightning.
[28.08.2024 11:31:02] - Ben Boyd has been deleted from Lightning.
[28.08.2024 11:31:00] - Bear Hughes has been deleted from Lightning.
[28.08.2024 11:30:54] - Jack Gorniak has been deleted from Lightning.

Pas de blessure ou de suspension.

Lightning Leaders statistiques des joueurs (saison régulière)

Afficher ou masquer des colonnes

#	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

Lightning Leaders des statistiques des gardiens (saison régulière)

Afficher ou masquer des colonnes

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

Lightning Statistiques de l'Équipe de Carrière

Afficher ou masquer des colonnes

	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

Lightning Leaders statistiques des joueurs (séries éliminatoires)

Afficher ou masquer des colonnes

#	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

Lightning Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

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

	Lightning
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% DG: NFHL \| Morale : 99 \| Moyenne d’équipe : N/A