Senators
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	Darryl Sutter
	Division	Atlantic Division
	Conférence	Eastern Conference
	Capitaine
	Assistant #1
	Assistant #2
Informations de l’aréna
	Nom	Canadian Tire Centre
	Capacité	19,500
	Assistance
	Billets de saison	7,800
Informations de la formation
	Équipe Pro	15
	Équipe Mineure	33
	Limite contact	48 / 65
	Espoirs	18
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	15
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	37,133,887$
	Compte bancaire projeté	37,133,887$

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	Brendan Gallagher		X	X		100.00	68	52	86	83	69	80	93	75	61	69	72	68	66	63	66	0	99	0	0	32	1	1,250,000$
2	Dylan Guenther		X	X		100.00	67	50	92	90	68	83	92	80	61	75	80	73	65	48	55	0	99	0	0	21	1	1,500,000$
3	Andrew Copp	X				100.00	64	50	92	82	77	83	94	75	84	71	70	81	65	58	61	0	99	0	0	30	1	4,750,000$
4	Warren Foegele		X	X		100.00	70	52	90	85	77	80	95	76	61	71	73	73	65	56	64	0	99	0	0	28	1	2,450,000$
5	Travis Sanheim				X	100.00	71	50	90	89	84	90	94	82	25	78	74	83	65	53	61	0	99	0	0	28	3	3,850,000$
6	Michael Koster				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	75	0	0	23	1	700,000$
Rayé
1	Rafael Harvey-Pinard		X	X		100.00	70	50	94	74	69	79	83	71	61	69	66	81	65	56	62	0	99	0	0	25	3	1,350,000$
2	Kevin Fiala		X	X		100.00	68	50	88	89	77	85	95	82	61	81	78	68	69	56	61	0	99	0	0	28	4	5,650,000$
3	Lukas Reichel		X	X		100.00	64	50	94	77	65	81	92	71	64	68	67	68	66	47	57	0	99	0	0	22	3	1,700,000$
4	Matthew Boldy		X	X		100.00	64	50	89	90	76	85	92	83	64	81	79	68	75	47	57	0	99	0	0	23	3	4,900,000$
5	Ben Hutton				X	100.00	64	54	91	81	77	83	82	74	25	69	67	70	65	63	67	0	99	0	0	31	1	1,500,000$
6	Philip Broberg				X	100.00	60	50	92	73	81	78	89	69	25	72	65	73	65	50	60	0	99	0	0	23	1	950,000$
7	Nikolai Knyzhov				X	100.00	63	50	89	67	84	84	86	65	25	66	64	73	65	49	59	0	99	0	0	26	2	882,000$
8	Noah Juulsen				X	100.00	85	50	91	73	76	81	86	70	25	66	65	83	65	60	64	0	99	0	0	27	1	1,962,750$
Équipe Mineure
1	Joshua Roy		X	X		100.00	65	50	95	82	73	79	89	74	61	70	70	68	66	48	57	0	99	0	0	21	1	750,000$
2	Tanner Dickinson	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	48	57	0	79	0	0	22	1	750,000$
3	Olle Lycksell		X	X		100.00	60	50	92	73	62	76	87	71	61	71	71	66	65	52	60	0	99	0	0	25	1	787,500$
4	Otto Koivula		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	56	63	0	71	0	0	26	1	854,438$
5	Lucas Ciona		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	84	0	0	21	2	700,000$
6	Nolan Allan				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	50	57	0	74	0	0	21	1	1,250,000$
7	Noah Warren				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	51	0	0	20	2	1,250,000$
8	Gavin White				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	42	0	0	22	2	750,000$
9	Drew Bavaro				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	0	24	2	750,000$
10	Aidan McDonough		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	50	64	0	74	0	0	25	1	882,000$
11	Raivis Ansons		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	48	57	0	20	0	0	22	1	650,000$
12	Bradley Marek	X	X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	44	57	0	44	0	0	24	1	650,000$
13	Mathias Laferriere		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	56	62	0	75	0	0	24	1	716,625$
14	Luke Henman	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	56	62	0	75	0	0	24	1	909,563$
15	Jamieson Rees	X				100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	53	59	0	74	0	0	23	1	1,312,500$
16	Givani Smith		X	X		100.00	79	62	84	65	81	75	80	69	61	65	65	70	65	56	63	0	99	0	0	26	1	950,000$
17	Sean Tschigerl		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	56	0	0	21	2	975,000$
18	Carter Mazur		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	40	55	0	27	0	0	22	2	975,000$
19	Marcus Sylvegard		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	0	25	1	750,000$
20	Dalibor Dvorsky (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	19	3	1,500,000$
21	Cutter Gauthier (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	20	3	1,500,000$
22	Jesse Nurmi (R)		X	X		100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	19	3	750,000$
23	Topi Ronni (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	975,000$
24	Simon Lundmark				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	53	59	0	68	0	0	24	1	1,023,750$
25	Michael Callahan				X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	52	62	0	78	0	0	25	1	771,750$
26	Mason Lohrei				X	100.00	67	50	91	84	81	83	88	77	25	70	72	73	65	40	55	0	99	0	0	23	1	975,000$
27	Theo Lindstein (R)	X			X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	19	3	1,250,000$
28	Frederic Brunet (R)	X			X	100.00	55	55	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	21	3	825,000$
29	Scott Morrow (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$

	MOYENNE D’ÉQUIPE					100.00	60	53	69	65	63	65	69	63	53	61	61	62	59	40	47	0	64	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
Rayé
1	Ivan Prosvetov	100.00	55	55	55	55	55	55	55	55	55	55	55	52	63	0	53	0	0	25	1	787,500$
Équipe Mineure
1	Anson Thornton	100.00	55	55	55	55	55	55	55	55	55	55	55	40	55	0	74	0	0	21	2	650,000$
2	Ivan Fedotov	100.00	55	55	55	55	55	55	55	55	55	55	55	57	69	0	49	0	0	28	1	1,502,456$
3	Frederik Nissen Dichow	100.00	55	55	55	55	55	55	55	55	55	55	55	46	57	0	50	0	0	23	1	650,000$
4	Damian Clara (R)	100.00	55	55	55	55	55	55	55	55	55	55	55	1	1	0	1	0	1	19	3	975,000$

	MOYENNE D’ÉQUIPE	100.00	55	55	55	55	55	55	55	55	55	55	55	39	49	0	45	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Darryl Sutter	76	77	78	81	99	99	1	CAN	66	1	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	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
Andrew Copp	Senators	C	30	1994-07-08	USA	No	203 Lbs	6 ft1	No	No	N/A	No	No	1	False	False	Pro & Farm	4,750,000$	4,750,000$	4,750,000$	4,750,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ben Hutton	Senators	D	31	1993-04-20	CAN	No	201 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Brendan Gallagher	Senators	LW/RW	32	1992-05-06	CAN	No	183 Lbs	5 ft9	No	No	N/A	No	No	1	False	False	Pro & Farm	1,250,000$	1,250,000$	1,250,000$	1,250,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dylan Guenther	Senators	LW/RW	21	2003-04-10	CAN	No	175 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	1,500,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ivan Prosvetov	Senators	G	25	1999-03-05	RUS	No	176 Lbs	6 ft5	No	No	N/A	No	No	1	False	False	Pro & Farm	787,500$	787,500$	787,500$	787,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Kevin Fiala	Senators	LW/RW	28	1996-07-22	SUI	No	205 Lbs	6 ft0	No	No	N/A	No	No	4	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$	5,650,000$	5,650,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Lukas Reichel	Senators	LW/RW	22	2002-05-17	GER	No	170 Lbs	6 ft0	No	No	N/A	No	No	3	False	False	Pro & Farm	1,700,000$	1,700,000$	1,700,000$	1,700,000$	No	1,700,000$	1,700,000$	-	-	-	-	-	-	-	1,700,000$	1,700,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Matthew Boldy	Senators	LW/RW	23	2001-04-05	USA	No	201 Lbs	6 ft2	No	No	N/A	No	No	3	False	False	Pro & Farm	4,900,000$	4,900,000$	4,900,000$	4,900,000$	No	4,900,000$	4,900,000$	-	-	-	-	-	-	-	4,900,000$	4,900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Michael Koster	Senators	D	23	2001-04-13	USA	No	181 Lbs	5 ft10	No	No	N/A	No	No	1	False	False	Pro & Farm	700,000$	700,000$	700,000$	700,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nikolai Knyzhov	Senators	D	26	1998-03-20	RUS	No	222 Lbs	6 ft3	No	No	N/A	No	No	2	False	False	Pro & Farm	882,000$	882,000$	882,000$	882,000$	No	882,000$	-	-	-	-	-	-	-	-	882,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Noah Juulsen	Senators	D	27	1997-04-02	CAN	No	201 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	1,962,750$	1,962,750$	1,962,750$	1,962,750$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Philip Broberg	Senators	D	23	2001-06-25	SWE	No	212 Lbs	6 ft4	No	No	N/A	No	No	1	False	False	Pro & Farm	950,000$	950,000$	950,000$	950,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Rafael Harvey-Pinard	Senators	LW/RW	25	1999-01-06	CAN	No	184 Lbs	5 ft9	No	No	N/A	No	No	3	False	False	Pro & Farm	1,350,000$	1,350,000$	1,350,000$	1,350,000$	No	1,350,000$	1,350,000$	-	-	-	-	-	-	-	1,350,000$	1,350,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Travis Sanheim	Senators	D	28	1996-03-29	CAN	No	222 Lbs	6 ft4	No	No	N/A	No	No	3	False	False	Pro & Farm	3,850,000$	3,850,000$	3,850,000$	3,850,000$	No	3,850,000$	3,850,000$	-	-	-	-	-	-	-	3,850,000$	3,850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Warren Foegele	Senators	LW/RW	28	1996-04-01	CAN	No	204 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	2,450,000$	2,450,000$	2,450,000$	2,450,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
15	26.13	196 Lbs	6 ft1	1.80	2,278,817$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
34,182,250$	18,332,000$	17,450,000$	5,650,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Andrew Copp		28	1	2	2
2	Brendan Gallagher		Warren Foegele	28	1	2	2
3				25	1	2	2
4			Dylan Guenther	19	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Travis Sanheim	28	1	2	2
2			28	1	2	2
3	Michael Koster		25	1	2	2
4		Travis Sanheim	19	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Andrew Copp		50	1	2	2
2			Warren Foegele	50	1	2	2

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Travis Sanheim	50	1	2	2
2			50	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1			50	1	2	2
2	Warren Foegele	Andrew Copp	50	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Travis Sanheim	50	1	2	2
2			50	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Andrew Copp	50	1	2	2		Travis Sanheim	50	1	2	2
2		50	1	2	2			50	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1			50	1	2	2
2		Andrew Copp	50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Travis Sanheim	50	1	2	2
2			50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Andrew Copp			Travis Sanheim

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Andrew Copp			Travis Sanheim

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, ,	,

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
, , Travis Sanheim	Travis Sanheim	Travis Sanheim,

Tirs de pénalité
, , , Andrew Copp, Warren Foegele

Gardien
#1 : , #2 :

Lignes d’attaque personnalisées en prolongation
, , Andrew Copp, Dylan Guenther, , Warren Foegele, Warren Foegele, , , ,

Lignes de défense personnalisées en prolongation
, Travis Sanheim, Michael Koster, ,

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	87	48	27	15	192
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$	34,182,250$	34,182,250$	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$	15	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$	37,133,887$	37,133,887$

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

Brendan Gallagher	AGE:32	PO:0	OV:0
Dylan Guenther	AGE:21	PO:0	OV:0
Aidan McDonough	AGE:25	PO:0	OV:0
Rafael Harvey-Pinard	AGE:25	PO:0	OV:0
Joshua Roy	AGE:21	PO:0	OV:0
Raivis Ansons	AGE:22	PO:0	OV:0
Kevin Fiala	AGE:28	PO:0	OV:0
Bradley Marek	AGE:24	PO:0	OV:0
Mathias Laferriere	AGE:24	PO:0	OV:0
Olle Lycksell	AGE:25	PO:0	OV:0
Warren Foegele	AGE:28	PO:0	OV:0
Lukas Reichel	AGE:22	PO:0	OV:0
Matthew Boldy	AGE:23	PO:0	OV:0
Givani Smith	AGE:26	PO:0	OV:0
Otto Koivula	AGE:26	PO:0	OV:0
Lucas Ciona	AGE:21	PO:0	OV:0
Sean Tschigerl	AGE:21	PO:0	OV:0
Carter Mazur	AGE:22	PO:0	OV:0
Marcus Sylvegard	AGE:25	PO:0	OV:0
Dalibor Dvorsky (R)	AGE:19	PO:0	OV:0
Cutter Gauthier (R)	AGE:20	PO:0	OV:0
Jesse Nurmi (R)	AGE:19	PO:0	OV:0

Andrew Copp	AGE:30	PO:0	OV:0
Tanner Dickinson	AGE:22	PO:0	OV:0
Bradley Marek	AGE:24	PO:0	OV:0
Luke Henman	AGE:24	PO:0	OV:0
Jamieson Rees	AGE:23	PO:0	OV:0
Dalibor Dvorsky (R)	AGE:19	PO:0	OV:0
Theo Lindstein (R)	AGE:19	PO:0	OV:0
Frederic Brunet (R)	AGE:21	PO:0	OV:0
Cutter Gauthier (R)	AGE:20	PO:0	OV:0
Topi Ronni (R)	AGE:20	PO:0	OV:0

Brendan Gallagher	AGE:32	PO:0	OV:0
Dylan Guenther	AGE:21	PO:0	OV:0
Aidan McDonough	AGE:25	PO:0	OV:0
Rafael Harvey-Pinard	AGE:25	PO:0	OV:0
Joshua Roy	AGE:21	PO:0	OV:0
Raivis Ansons	AGE:22	PO:0	OV:0
Kevin Fiala	AGE:28	PO:0	OV:0
Bradley Marek	AGE:24	PO:0	OV:0
Mathias Laferriere	AGE:24	PO:0	OV:0
Olle Lycksell	AGE:25	PO:0	OV:0
Warren Foegele	AGE:28	PO:0	OV:0
Lukas Reichel	AGE:22	PO:0	OV:0
Matthew Boldy	AGE:23	PO:0	OV:0
Givani Smith	AGE:26	PO:0	OV:0
Otto Koivula	AGE:26	PO:0	OV:0
Lucas Ciona	AGE:21	PO:0	OV:0
Sean Tschigerl	AGE:21	PO:0	OV:0
Carter Mazur	AGE:22	PO:0	OV:0
Marcus Sylvegard	AGE:25	PO:0	OV:0
Dalibor Dvorsky (R)	AGE:19	PO:0	OV:0
Cutter Gauthier (R)	AGE:20	PO:0	OV:0
Jesse Nurmi (R)	AGE:19	PO:0	OV:0

Défense #1

Défense #2

Gardien

Ben Hutton	AGE:31	PO:0	OV:0
Philip Broberg	AGE:23	PO:0	OV:0
Nolan Allan	AGE:21	PO:0	OV:0
Simon Lundmark	AGE:24	PO:0	OV:0
Travis Sanheim	AGE:28	PO:0	OV:0
Nikolai Knyzhov	AGE:26	PO:0	OV:0
Michael Callahan	AGE:25	PO:0	OV:0
Noah Juulsen	AGE:27	PO:0	OV:0

Michael Koster	AGE:23	PO:0	OV:0
Mason Lohrei	AGE:23	PO:0	OV:0
Noah Warren	AGE:20	PO:0	OV:0
Gavin White	AGE:22	PO:0	OV:0
Drew Bavaro	AGE:24	PO:0	OV:0
Theo Lindstein (R)	AGE:19	PO:0	OV:0
Frederic Brunet (R)	AGE:21	PO:0	OV:0
Scott Morrow (R)	AGE:22	PO:0	OV:0

Ivan Prosvetov	AGE:25	PO:0	OV:0
Ivan Fedotov	AGE:28	PO:0	OV:0
Frederik Nissen Dichow	AGE:23	PO:0	OV:0
Anson Thornton	AGE:21	PO:0	OV:0
Damian Clara (R)	AGE:19	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
Alex Bump	Senators	0	0
Andrei Loshko	Senators	0	0
Anton Silayev	Senators	0	0
Brodie Ziemer	Senators	0	0
Charlie Elick	Senators	0	0
Dominik Badinka	Senators	0	0
Joey Willis	Senators	0	0
Kevin Reidler	Senators	0	0
Konnor Smith	Senators	0	0
Marek Vanacker	Senators	0	0
Matvei Shuravin	Senators	0	0
Maxim Strbak	Senators	0	0
Oskar Vuollet	Senators	0	0
Philip Svedeback	Senators	0	0
Roman Shokhrin	Senators	0	0
Ty Henry	Senators	0	0
Vadim Moroz	Senators	0	0
Vojtech Port	Senators	0	0

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2024	OTT ANA	OTT WPG	OTT	OTT	OTT	DET	FLA
2025	OTT	OTT	OTT	OTT	OTT NJD		OTT
2026	OTT	OTT	OTT	OTT	OTT	OTT	OTT
2027	OTT	OTT	OTT	OTT	OTT	OTT	OTT
2028	OTT	OTT	OTT	OTT	OTT	OTT	OTT
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.

Senators Historique de transactions

[29.01.2025 13:12:58] - Gustavs Davis Grigals was released.
[29.01.2025 13:12:58] - Senators paid $0 to release Gustavs Davis Grigals.
[29.01.2025 13:12:50] - Linus Hogberg was released.
[29.01.2025 13:12:50] - Senators paid $0 to release Linus Hogberg.
[29.01.2025 13:12:45] - Santtu Kinnunen was released.
[29.01.2025 13:12:45] - Senators paid $0 to release Santtu Kinnunen.
[29.01.2025 13:12:37] - Taylor Makar was released.
[29.01.2025 13:12:37] - Senators paid $0 to release Taylor Makar.
[29.01.2025 13:12:30] - Carsen Twarynski was released.
[29.01.2025 13:12:30] - Senators paid $0 to release Carsen Twarynski.
[29.01.2025 13:12:23] - Ruslan Iskhakov was released.
[29.01.2025 13:12:23] - Senators paid $0 to release Ruslan Iskhakov.
[29.01.2025 13:12:18] - Kirill Tyutyayev was released.
[29.01.2025 13:12:18] - Senators paid $0 to release Kirill Tyutyayev.
[29.01.2025 13:12:10] - Rasmus Asplund was released.
[29.01.2025 13:12:10] - Senators paid $0 to release Rasmus Asplund.
[08.09.2024 18:17:39] - Roman Shokhrin has been added to Senators.
[08.09.2024 18:17:39] - Ty Henry has been added to Senators.
[08.09.2024 18:17:39] - Oskar Vuollet has been added to Senators.
[08.09.2024 18:17:39] - Matvei Shuravin has been added to Senators.
[08.09.2024 18:17:39] - Brodie Ziemer has been added to Senators.
[08.09.2024 18:17:39] - Charlie Elick has been added to Senators.
[08.09.2024 18:17:39] - Dominik Badinka has been added to Senators.
[08.09.2024 18:17:39] - Marek Vanacker has been added to Senators.
[08.09.2024 18:17:39] - Anton Silayev has been added to Senators.
[28.08.2024 11:27:32] - Petteri Nurmi has been deleted from Senators.
[28.08.2024 11:27:27] - Riku Tohila has been deleted from Senators.
[28.08.2024 11:27:23] - Bryce Montgomery has been deleted from Senators.
[28.08.2024 11:27:17] - Jakub Kos has been deleted from Senators.
[28.08.2024 11:27:14] - Carter Berger has been deleted from Senators.
[27.08.2024 18:37:08] - Frederic Brunet was added to Senators.
[27.08.2024 18:36:33] - Topi Ronni was added to Senators.
[27.08.2024 18:36:28] - Jesse Nurmi was added to Senators.
[27.08.2024 18:36:24] - Damian Clara was added to Senators.
[27.08.2024 18:36:19] - Scott Morrow was added to Senators.
[27.08.2024 18:36:11] - Cutter Gauthier was added to Senators.
[27.08.2024 18:35:45] - Theo Lindstein was added to Senators.
[27.08.2024 18:35:41] - Dalibor Dvorsky was added to Senators.

Pas de blessure ou de suspension.

Senators 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

Senators 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

Senators 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

Senators 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

Senators 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

	Senators
	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