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Client Web pour la formation
Client Web pour les lignes

Meneurs d'équipe

Statistiques d’équipe

Informations de l'équipe
	Directeur général	Farlou Ferland
	Entraîneur	Guy Boucher
	Division	Atlantic
	Conférence	East
	Capitaine	Josh Bailey
	Assistant #1	Phillip Danault
	Assistant #2	Ryan Ellis
Informations de l’aréna
	Nom	Canadian Tire Centre
	Capacité	18,000
	Assistance
	Billets de saison	7,200
Informations de la formation
	Équipe Pro	24
	Équipe Mineure	25
	Limite contact	49 / 60
	Espoirs	28
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	84,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	25
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	68,437,529$
	Compte bancaire projeté	68,437,529$
Historique d'équipe
	Saison actuelle	0-0
	Historique	37-36-6 (0.468%)
	Apparitions en séries éliminatoires	0
	Historique en séries éliminatoires (W-L)	0-0
	Coupe Stanley	0

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	#	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	Jay Beagle	0	X				100.00	77	45	86	74	79	63	67	58	94	61	56	96	25	74	79	69	48	0	0	35	3	3,250,000$
2	Oskar Lindblom	0		X			100.00	74	43	94	77	71	70	69	69	48	65	78	74	25	60	61	65	48	0	0	24	2	3,000,000$
3	Josh Bailey (C)	0		X	X		100.00	60	42	96	82	74	75	91	74	50	82	70	71	63	82	85	73	48	0	0	31	3	6,250,000$
4	Joel Farabee	0		X	X		100.00	70	62	82	84	61	70	86	70	36	73	77	67	25	57	58	65	50	0	0	21	2	1,425,000$
5	Marcus Johansson	0	X	X	X		100.00	65	43	93	82	75	74	74	76	59	72	69	71	25	76	81	69	54	0	0	30	1	4,583,333$
6	Mika Zibanejad	0	X				100.00	76	44	90	92	76	86	87	91	86	86	94	82	78	72	73	81	48	0	0	28	3	5,350,000$
7	Michael McLeod	0	X		X		100.00	82	68	83	79	73	61	85	60	82	62	63	79	25	55	55	67	50	0	0	23	1	1,363,333$
8	Kevin Rooney	0	X	X			100.00	82	80	80	68	74	61	81	60	74	60	63	86	25	60	60	68	48	0	0	28	2	700,000$
9	Phillip Danault (A)	0	X				100.00	81	45	86	81	74	77	92	71	95	81	65	83	63	67	68	75	38	0	0	28	2	3,083,333$
10	Robert Thomas	0	X		X		100.00	59	41	91	83	68	67	74	70	66	78	64	57	25	61	63	64	50	0	0	21	1	1,177,500$
11	Luke Kunin	0	X		X		100.00	81	60	83	83	70	68	77	63	56	70	76	73	25	61	62	67	48	0	0	23	1	1,425,000$
12	Adam Larsson	0				X	100.00	92	53	84	79	77	79	83	61	25	49	48	90	25	73	74	66	66	0	0	28	1	4,166,666$
13	Samuel Girard	0				X	100.00	68	46	90	88	62	85	87	77	25	72	49	68	25	64	66	65	48	0	0	23	3	5,000,000$
14	Marco Scandella	0				X	100.00	78	44	87	80	77	76	84	59	25	51	48	83	25	73	76	64	48	0	0	31	3	4,025,000$
15	Radko Gudas	0				X	100.00	95	57	81	77	74	71	88	60	25	54	48	84	25	70	71	65	37	0	0	31	3	3,250,000$
16	Ryan Ellis (A)	0				X	100.00	71	43	89	85	65	89	67	77	25	73	58	83	63	72	75	69	48	0	0	30	3	6,250,000$
17	Dante Fabbro	0				X	100.00	71	42	83	86	68	78	79	62	25	54	49	73	25	56	57	61	48	0	0	23	2	1,491,666$
Rayé
1	Ondrej Palat	0		X			100.00	83	45	88	86	70	75	92	77	30	81	77	63	37	71	76	70	51	0	0	30	2	5,300,000$
2	Paul Byron	0	X	X	X		100.00	85	44	93	89	59	65	65	59	35	68	63	77	80	69	70	68	38	0	0	32	1	1,000,000$
3	Tyson Jost	0	X	X			100.00	72	43	88	85	67	65	90	67	60	66	63	73	75	63	65	69	50	0	0	23	3	1,673,333$
4	Matt Irwin	0				X	100.00	88	53	83	73	75	67	57	59	25	47	47	81	25	67	69	61	50	0	0	33	3	700,000$
Équipe Mineure
1	Alexander Volkov	0			X		100.00	75	57	89	77	72	70	72	60	43	63	65	67	25	59	60	64	50	0	0	23	2	925,000$
2	Artem Anisimov	0	X	X			100.00	61	42	95	82	75	64	59	72	68	69	71	62	61	79	81	69	50	0	0	33	1	1,000,000$
3	Alex Turcotte (R)	0	X				100.00	72	67	82	59	67	60	60	62	78	62	57	63	54	44	44	62	50	0	0	20	3	2,475,000$
4	Carl Grundstrom	0		X			100.00	87	45	86	76	73	63	78	64	32	68	60	60	25	53	53	62	50	0	0	23	1	925,000$
5	Tyson Foerster (R)	0	X				100.00	75	72	81	58	72	65	66	63	79	56	67	64	64	44	44	65	50	0	0	19	3	925,000$
6	Gabriel Gagne (R)	0			X		100.00	78	73	90	63	73	58	56	55	50	47	57	66	50	50	50	61	50	0	0	24	1	925,000$
7	Jack Roslovic	0	X		X		100.00	70	43	92	79	69	71	88	72	63	75	73	56	25	64	65	67	50	0	0	24	2	1,838,362$
8	Marko Dano	0		X	X		100.00	72	75	65	76	75	61	56	53	50	52	47	64	44	58	58	60	50	0	0	26	1	925,000$
9	Ryan Dzingel	0		X	X		100.00	72	53	85	82	70	65	79	75	34	69	68	65	75	66	67	68	50	0	0	29	1	1,800,000$
10	Matthew Peca	0	X	X	X		100.00	73	53	93	82	63	58	61	60	76	60	56	69	53	52	52	64	50	0	0	28	2	1,300,000$
11	Tanner Kero	0	X	X	X		100.00	73	55	91	62	67	64	70	63	69	64	57	67	25	56	56	63	50	0	0	28	1	1,000,000$
12	Michael Dal Colle	0		X	X		100.00	79	44	93	66	76	61	63	61	44	61	57	59	25	57	58	60	50	0	0	25	1	700,000$
13	Alex Biega	0				X	100.00	85	45	88	70	69	62	56	58	25	51	47	76	53	65	65	61	50	0	0	33	1	1,000,000$
14	Andreas Borgman	0				X	100.00	75	72	83	67	74	60	60	53	25	40	48	65	53	55	55	59	48	0	0	26	1	1,000,000$
15	Christian Jaros	0				X	100.00	81	63	89	63	82	55	57	52	25	51	43	67	37	55	55	58	50	0	0	25	1	755,000$
16	Martin Marincin	0				X	100.00	76	62	84	66	80	58	50	57	25	48	45	78	39	64	65	60	50	0	0	29	2	700,000$
17	Tommy Cross	0				X	100.00	77	77	76	67	77	64	57	55	25	46	50	64	49	44	44	58	50	0	0	31	1	1,000,000$
18	Carl Dahlstrom	0				X	100.00	73	63	89	61	83	56	46	59	25	50	44	72	39	59	59	59	50	0	0	26	4	850,000$
19	Luke Evangelista (R)	0			X		100.00	70	61	90	60	61	59	61	52	50	56	44	59	42	44	44	57	50	0	0	19	3	925,000$
20	Will Cuylle (R)	0		X			100.00	68	76	49	67	76	59	62	50	50	47	48	58	46	44	44	56	50	0	0	19	3	925,000$
21	Christian Wolanin	0				X	100.00	66	56	82	79	70	59	47	56	25	40	45	61	25	59	59	55	50	0	0	26	1	925,000$
22	Lassi Thomson (R)	0				X	100.00	75	70	88	58	70	59	62	51	25	47	40	61	38	44	44	55	50	0	0	20	3	1,350,000$
23	Tyler Tucker (R)	0				X	100.00	73	76	66	59	76	61	65	48	25	40	40	60	38	44	44	54	50	0	0	21	1	1,000,000$

	MOYENNE D’ÉQUIPE						100.00	77	50	87	82	71	72	80	68	50	67	63	77	39	67	69	68	48	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	Mikko Koskinen	100.00	71	74	72	86	73	68	70	70	75	71	65	58	59	70	38	0	0	32	1	2,500,000$
2	Trevin Kozlowski (R)	100.00	45	50	63	88	42	44	50	52	45	46	30	44	44	49	50	0	0	24	1	1,000,000$
Rayé
1	Chris Driedger	100.00	73	59	57	85	80	66	93	73	80	73	75	47	47	70	30	0	0	27	1	850,000$
Équipe Mineure
1	Antoine Bibeau	100.00	51	48	60	81	51	50	54	58	52	53	30	44	44	52	50	0	0	27	1	750,000$
2	Artyom Zagidulin	100.00	54	55	68	70	55	56	51	58	55	54	30	44	44	53	53	0	0	25	1	750,000$

	MOYENNE D’ÉQUIPE	100.00	63	61	64	86	65	59	71	65	67	63	57	50	50	63	39	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Guy Boucher	76	71	79	78	71	66	78	CAN	51	3	2,250,000$

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Astuces sur les filtres (anglais seulement)

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

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	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	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	Salaire actuel	Salaire moyen	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Link
Adam Larsson	Senators	D	28	1992-11-11	No	208 Lbs	6 ft3	No	No	No	1	Pro & Farm	4,166,666$	4,166,666$	4,166,666$	0$	No			Lien
Chris Driedger	Senators	G	27	1994-05-18	No	208 Lbs	6 ft4	No	No	No	1	Pro & Farm	850,000$	850,000$	850,000$	0$	No			Lien
Dante Fabbro	Senators	D	23	1998-06-20	No	189 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,491,666$	1,491,666$	1,491,666$	0$	No	1,491,666$		Lien
Jay Beagle	Senators	C	35	1985-10-16	No	210 Lbs	6 ft3	No	No	No	3	Pro & Farm	3,250,000$	3,000,000$	3,250,000$	0$	No	3,000,000$	3,000,000$	Lien
Joel Farabee	Senators	LW/RW	21	2000-02-25	No	164 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,425,000$	1,425,000$	1,425,000$	0$	No	1,425,000$		Lien
Josh Bailey	Senators	LW/RW	31	1989-10-02	No	200 Lbs	6 ft1	No	No	No	3	Pro & Farm	6,250,000$	5,000,000$	6,250,000$	0$	No	5,000,000$	5,000,000$	Lien
Kevin Rooney	Senators	C/LW	28	1993-05-21	No	190 Lbs	6 ft2	No	No	No	2	Pro & Farm	700,000$	700,000$	700,000$	0$	No	700,000$		Lien
Luke Kunin	Senators	C/RW	23	1997-12-04	No	193 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,425,000$	925,000$	1,425,000$	0$	No			Lien
Marco Scandella	Senators	D	31	1990-02-22	No	208 Lbs	6 ft3	No	No	No	3	Pro & Farm	4,025,000$	3,275,000$	4,025,000$	0$	No	3,275,000$	3,275,000$	Lien
Marcus Johansson	Senators	C/LW/RW	30	1990-10-06	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	4,583,333$	4,583,333$	4,583,333$	0$	No			Lien
Matt Irwin	Senators	D	33	1987-11-29	No	207 Lbs	6 ft1	No	No	No	3	Pro & Farm	700,000$	700,000$	700,000$	0$	No	700,000$	700,000$	Lien
Michael McLeod	Senators	C/RW	23	1998-02-03	No	188 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,363,333$	450,000$	1,363,333$	0$	No			Lien
Mika Zibanejad	Senators	C	28	1993-04-18	No	208 Lbs	6 ft2	No	No	No	3	Pro & Farm	5,350,000$	5,350,000$	5,350,000$	0$	No	5,350,000$	5,350,000$	Lien
Mikko Koskinen	Senators	G	32	1988-07-17	No	202 Lbs	6 ft7	No	No	No	1	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	0$	No			Lien
Ondrej Palat	Senators	LW	30	1991-03-28	No	194 Lbs	6 ft0	No	No	No	2	Pro & Farm	5,300,000$	5,300,000$	5,300,000$	0$	No	5,300,000$		Lien
Oskar Lindblom	Senators	LW	24	1996-08-15	No	191 Lbs	6 ft1	No	No	No	2	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	0$	No	3,000,000$		Lien
Paul Byron	Senators	C/LW/RW	32	1989-04-27	No	165 Lbs	5 ft9	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	0$	No			Lien
Phillip Danault	Senators	C	28	1993-02-24	No	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	3,083,333$	3,083,333$	3,083,333$	0$	No	3,083,333$		Lien
Radko Gudas	Senators	D	31	1990-06-05	No	208 Lbs	6 ft0	No	No	No	3	Pro & Farm	3,250,000$	2,500,000$	3,250,000$	0$	No	2,500,000$	2,500,000$	Lien
Robert Thomas	Senators	C/RW	21	1999-07-02	No	188 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,177,500$	1,177,500$	1,177,500$	0$	No			Lien
Ryan Ellis	Senators	D	30	1991-01-03	No	180 Lbs	5 ft10	No	No	No	3	Pro Only	6,250,000$	6,250,000$	6,250,000$	0$	No	6,250,000$	6,250,000$	Lien
Samuel Girard	Senators	D	23	1998-05-12	No	170 Lbs	5 ft10	No	No	No	3	Pro & Farm	5,000,000$	5,000,000$	5,000,000$	0$	No	5,000,000$	5,000,000$	Lien
Trevin Kozlowski	Senators	G	24	1997-03-27	Yes	220 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	0$	No			Lien
Tyson Jost	Senators	C/LW	23	1998-03-14	No	187 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,673,333$	1,673,333$	1,673,333$	0$	No	1,673,333$	1,673,333$	Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
24	27.46	195 Lbs	6 ft1	2.00	2,867,257$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
68,814,164$	47,748,332$	32,748,333$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Oskar Lindblom	Mika Zibanejad	Robert Thomas	35	1	2	2
2	Josh Bailey	Phillip Danault	Joel Farabee	30	1	2	2
3	Kevin Rooney	Jay Beagle	Luke Kunin	25	1	3	1
4	Marcus Johansson		Michael McLeod	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Radko Gudas	Samuel Girard	38	1	2	2
2	Adam Larsson	Ryan Ellis	32	1	2	2
3	Marco Scandella	Dante Fabbro	30	1	2	2
4	Ryan Ellis	Samuel Girard	0	1	2	2

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Phillip Danault	Mika Zibanejad	Robert Thomas	60	0	0	5
2	Oskar Lindblom	Jay Beagle	Josh Bailey	40	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Ryan Ellis	Samuel Girard	60	0	0	5
2	Adam Larsson	Radko Gudas	40	0	0	5

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jay Beagle	Oskar Lindblom	60	1	4	0
2	Michael McLeod		40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Marco Scandella	Dante Fabbro	60	1	4	0
2	Adam Larsson	Ryan Ellis	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Jay Beagle	60	1	4	0	Marco Scandella	Dante Fabbro	60	1	4	0
2	Michael McLeod	40	1	4	0	Adam Larsson	Ryan Ellis	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Kevin Rooney	Oskar Lindblom	60	1	2	2
2	Phillip Danault	Josh Bailey	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Radko Gudas	Samuel Girard	60	1	2	2
2	Ryan Ellis	Adam Larsson	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Oskar Lindblom	Mika Zibanejad	Phillip Danault	Ryan Ellis	Samuel Girard

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Oskar Lindblom	Phillip Danault	Jay Beagle	Radko Gudas	Samuel Girard

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Michael McLeod, Oskar Lindblom, Luke Kunin	Michael McLeod, Oskar Lindblom	Luke Kunin

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Samuel Girard, Ryan Ellis, Adam Larsson	Samuel Girard	Ryan Ellis, Adam Larsson

Tirs de pénalité
Kevin Rooney, Mika Zibanejad, Josh Bailey, Phillip Danault, Marcus Johansson

Gardien
#1 : Mikko Koskinen, #2 : Trevin Kozlowski

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

Lignes de défense personnalisées en prolongation
, , , ,

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	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	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	0	0	0.00%

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	6000	5000	2000	4000	1000
Prix des billets	195	115	80	65	287
Assistance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
41	0 - 0.00%	0$	0$	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$	69,564,164$	65,150,831$	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$	25	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$	68,437,529$	68,437,529$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
0$	84,000,000$	84,000,000$	-50,000,000$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Josh Bailey	AGE:31	PO:73	OV:0
Ondrej Palat	AGE:30	PO:70	OV:0
Artem Anisimov	AGE:33	PO:69	OV:0
Marcus Johansson	AGE:30	PO:69	OV:0
Tyson Jost	AGE:23	PO:69	OV:0
Paul Byron	AGE:32	PO:68	OV:0
Kevin Rooney	AGE:28	PO:68	OV:0
Ryan Dzingel	AGE:29	PO:68	OV:0
Oskar Lindblom	AGE:24	PO:65	OV:0
Joel Farabee	AGE:21	PO:65	OV:0
Matthew Peca	AGE:28	PO:64	OV:0
Tanner Kero	AGE:28	PO:63	OV:0
Carl Grundstrom	AGE:23	PO:62	OV:0
Marko Dano	AGE:26	PO:60	OV:0
Michael Dal Colle	AGE:25	PO:60	OV:0
Will Cuylle (R)	AGE:19	PO:56	OV:0

Mika Zibanejad	AGE:28	PO:81	OV:0
Phillip Danault	AGE:28	PO:75	OV:0
Artem Anisimov	AGE:33	PO:69	OV:0
Jay Beagle	AGE:35	PO:69	OV:0
Marcus Johansson	AGE:30	PO:69	OV:0
Tyson Jost	AGE:23	PO:69	OV:0
Paul Byron	AGE:32	PO:68	OV:0
Kevin Rooney	AGE:28	PO:68	OV:0
Jack Roslovic	AGE:24	PO:67	OV:0
Michael McLeod	AGE:23	PO:67	OV:0
Luke Kunin	AGE:23	PO:67	OV:0
Tyson Foerster (R)	AGE:19	PO:65	OV:0
Robert Thomas	AGE:21	PO:64	OV:0
Matthew Peca	AGE:28	PO:64	OV:0
Tanner Kero	AGE:28	PO:63	OV:0
Alex Turcotte (R)	AGE:20	PO:62	OV:0

Josh Bailey	AGE:31	PO:73	OV:0
Marcus Johansson	AGE:30	PO:69	OV:0
Paul Byron	AGE:32	PO:68	OV:0
Ryan Dzingel	AGE:29	PO:68	OV:0
Jack Roslovic	AGE:24	PO:67	OV:0
Michael McLeod	AGE:23	PO:67	OV:0
Luke Kunin	AGE:23	PO:67	OV:0
Joel Farabee	AGE:21	PO:65	OV:0
Alexander Volkov	AGE:23	PO:64	OV:0
Robert Thomas	AGE:21	PO:64	OV:0
Matthew Peca	AGE:28	PO:64	OV:0
Tanner Kero	AGE:28	PO:63	OV:0
Gabriel Gagne (R)	AGE:24	PO:61	OV:0
Marko Dano	AGE:26	PO:60	OV:0
Michael Dal Colle	AGE:25	PO:60	OV:0
Luke Evangelista (R)	AGE:19	PO:57	OV:0

Défense #1

Défense #2

Gardien

Ryan Ellis	AGE:30	PO:69	OV:0
Adam Larsson	AGE:28	PO:66	OV:0
Samuel Girard	AGE:23	PO:65	OV:0
Radko Gudas	AGE:31	PO:65	OV:0
Marco Scandella	AGE:31	PO:64	OV:0
Alex Biega	AGE:33	PO:61	OV:0
Matt Irwin	AGE:33	PO:61	OV:0
Dante Fabbro	AGE:23	PO:61	OV:0

Martin Marincin	AGE:29	PO:60	OV:0
Andreas Borgman	AGE:26	PO:59	OV:0
Carl Dahlstrom	AGE:26	PO:59	OV:0
Christian Jaros	AGE:25	PO:58	OV:0
Tommy Cross	AGE:31	PO:58	OV:0
Christian Wolanin	AGE:26	PO:55	OV:0
Lassi Thomson (R)	AGE:20	PO:55	OV:0
Tyler Tucker (R)	AGE:21	PO:54	OV:0

Chris Driedger	AGE:27	PO:70	OV:0
Mikko Koskinen	AGE:32	PO:70	OV:0
Artyom Zagidulin	AGE:25	PO:53	OV:0
Antoine Bibeau	AGE:27	PO:52	OV:0
Trevin Kozlowski (R)	AGE:24	PO:49	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	Lien
Aidan Hreschuk	Senators	2022	98
Alexei Iipanov	Senators	3	74
Alfrom Malstrom	Senators	2	89
Blake McLaughlin	Senators	4	77
Brent Johnson	Senators	2022	76
Cole Shneider	Senators
Helge Grans	Senators	2020	52
Jacob Bernard-Docker	Senators	4	34
Jacob Olofsson	Senators	4	29
Jan Bednar	Senators	2020	49
Jayden Struble	Senators	2019	51
John Farinacci	Senators	2019	62
Jonathan Toews	Senators			Lien
Kaiden Guhle	Senators	2020	27
Konrad Abeltshauser	Senators
Lucas Raymond	Senators	2020	7
Marco Rossi	Senators	2020	5
Nils Lundkvist	Senators	4	38
Rodion Amirov	Senators	2020	26
Ronnie Attard	Senators	2019	73
Samuel Knazko	Senators	2020	71
Sean Farrell	Senators	2020	78
Thimo Nickl	Senators	2020	91
Tuukka Tieksola	Senators	2019	95
Vincent Iorio	Senators	2022	54
William Stromgren	Senators	2022	40
Wyatt Johnston	Senators	2022	32
Zachary Bolduc	Senators	2022	17

Choix au repêchage

Année	R1	R2	R3	R4	R5
2022
2023
2024
2025
2026

[2022-03-22 21:18:20] - Senators was eliminated at round 1 of year 2021.
[2022-03-16 13:53:01] - Senators didn't make playoff for year 2021.
[2021-12-20 10:52:19] - TRADE : From Senators to Blue Jackets : Brandon Saad.
[2021-12-20 10:52:19] - TRADE : From Blue Jackets to Senators : Marcus Johansson, Y:2022-RND:5-CLB.
[2021-10-26 12:35:18] - TRADE : From Senators to Jets : Quinn Hughes, Teddy Blueger.
[2021-10-26 12:35:18] - TRADE : From Jets to Senators : Alexandar Georgiev, Adam Larsson, Lucas Raymond (P), Helge Grans (P), Y:2022-RND:2-EDM.
[2021-10-21 08:33:02] - Kaiden Guhle has been added to Senators.
[2021-10-12 07:03:05] - Jack Roslovic has been selected as assistant for Senators.
[2021-10-12 07:03:05] - Unknown Player is no longer as assistant for Senators.
[2021-08-20 10:10:08] - Paul Byron signed with Senators for $1,000,000 for 1 year(s).
[2021-08-20 10:10:08] - Paul Byron was added to Senators.
[2021-08-20 10:09:11] - Next Year Contract : Artyom Zagidulin signed with Senators for $1,000,000 for 1 year(s) with $0 in bonus.
[2021-08-20 10:09:08] - Artem Anisimov signed with Senators for $1,000,000 for 1 year(s).
[2021-08-20 10:09:08] - Artem Anisimov was added to Senators.
[2021-08-20 10:08:56] - Andreas Borgman signed with Senators for $1,000,000 for 1 year(s).
[2021-08-20 10:08:56] - Andreas Borgman was added to Senators.
[2021-08-20 10:08:53] - Alex Biega signed with Senators for $1,000,000 for 1 year(s).
[2021-08-20 10:08:53] - Alex Biega was added to Senators.
[2021-08-20 09:20:02] - TRADE : From Oilers to Senators : Carl Grundstrom, Y:2022-RND:5-EDM.
[2021-08-20 09:20:02] - TRADE : From Senators to Oilers : Nick Paul.
[2021-08-20 08:33:50] - Niklas Hjalmarsson was released.
[2021-08-20 08:33:50] - Niklas Hjalmarsson retired from Senators
[2021-08-19 20:46:21] - Tyler Tucker signed with Senators for $1,000,000 for 1 year(s).
[2021-08-19 20:46:21] - Tyler Tucker was added to Senators.
[2021-08-19 20:46:12] - Trevin Kozlowski signed with Senators for $1,000,000 for 1 year(s).
[2021-08-19 20:46:12] - Trevin Kozlowski was added to Senators.
[2021-08-19 20:46:02] - Tommy Cross signed with Senators for $1,000,000 for 1 year(s).
[2021-08-19 20:46:02] - Tommy Cross was added to Senators.
[2021-08-19 20:45:52] - Tanner Kero signed with Senators for $1,000,000 for 1 year(s).
[2021-08-19 20:45:52] - Tanner Kero was added to Senators.
[2021-08-17 11:03:17] - Kevin Rooney has been selected as assistant for Senators.
[2021-08-17 11:03:17] - Unknown Player is no longer as assistant for Senators.
[2021-08-17 11:03:17] - Alex Turcotte has been selected as assistant for Senators.
[2021-08-17 11:03:17] - Unknown Player is no longer as assistant for Senators.
[2021-08-17 11:03:17] - Christian Wolanin has been selected as captain for Senators.
[2021-08-17 11:03:17] - Unknown Player is no longer captain for Senators.
[2021-08-17 11:03:17] - Josh Bailey has been selected as captain for Senators.
[2021-08-17 11:03:17] - Unknown Player is no longer captain for Senators.
[2021-08-15 10:48:28] - Jay Beagle signed with Senators for $3,000,000 for 3 year(s) / Signing Bonus of $1,000,000.
[2021-08-15 10:48:28] - Jay Beagle was added to Senators.
[2021-08-15 10:45:58] - Josh Bailey signed with Senators for $5,000,000 for 3 year(s) / Signing Bonus of $5,000,000.
[2021-08-15 10:45:58] - Josh Bailey was added to Senators.
[2021-08-15 10:43:03] - Marco Scandella signed with Senators for $3,275,000 for 3 year(s) / Signing Bonus of $3,000,000.
[2021-08-15 10:43:03] - Marco Scandella was added to Senators.
[2021-08-15 10:35:34] - Radko Gudas signed with Senators for $2,500,000 for 3 year(s) / Signing Bonus of $3,000,000.
[2021-08-15 10:35:34] - Radko Gudas was added to Senators.
[2021-08-11 21:00:34] - Matt Irwin signed with Senators for $700,000 for 3 year(s).
[2021-08-11 21:00:34] - Matt Irwin was added to Senators.
[2021-08-11 20:36:06] - Offer from Senators for Blake Comeau of $1,000,000 for 1 year(s) with $0 in bonus has been refused.

[2022-03-23 21:42:48] Last 7 Days Farm Star : 1 - Sean Kuraly of Bruins (8-2-10) / 2 - Tanner Kero of Senators (4-6-10) / 3 - Kevin Stenlund of Monsters (4-5-9)
[2022-03-20 21:33:19] Christian Wolanin from Senators is back from Sprained Left Ankle Injury.
[2022-03-16 13:52:40] Senators has a 16,48% chance of winning the Draft Lottery!
[2022-03-16 13:52:40] Senators has a 12,71% chance of winning the Draft Lottery!
[2022-03-16 13:52:40] Senators has a 10,64% chance of winning the Draft Lottery!
[2022-03-14 21:21:48] Tyson Jost from Senators is back from Right Foot Injury.
[2022-03-13 11:39:03] Chris Driedger from Senators is back from Bruised Right Shoulder Injury.
[2022-03-13 11:39:02] Game 896 - Christian Wolanin from Senators is injured (Sprained Left Ankle) and is out for 2 weeks.
[2022-03-13 11:39:02] Pro Game #896 - Mika Zibanejad from Senators has scored a Hat Trick!
[2022-03-13 11:39:02] Game 896 - Tyson Jost from Senators is injured (Right Foot) and is out for 5 days.
[2022-03-13 11:38:56] Successfully loaded Senators lines done with STHS Client - 3.3.1.1
[2022-03-12 10:17:00] Auto Lines Function has been run for Senators.
[2022-03-12 10:17:00] Senators lines errors : Normal line # 1 Defense #1 is empty. Normal line # 3 LW is empty. Normal line # 4 RW is empty. Normal line # 4 Defense #4 is empty. Unknown Player is used twice in Normal line #4 Unknown Player is used twice in normal lines 1 and 3. 4 vs 4 line 1 C is empty. PP line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. Unknown Player is used twice in 4 vs 4 line#1 PK line 2 C is empty. PK3 line 2 forward is empty. LastMinOff line Defense #3 is empty. LastMinDef line Defense #3 is empty. Extra Forward #1 is empty. Extra Defense #1 is empty. Penalty Shot Player #1 is empty. Extra Forward #4 is empty. Extra Defense #4 is empty.
[2022-03-12 10:17:00] Auto Roster Partial Function has been run for Senators.
[2022-03-12 10:17:00] Senators roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2022-03-08 23:08:42] Senators lines for next game are empty. Current rosters/lines are not erased. But, Senators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2022-03-08 23:08:14] Auto Lines Function has been run for Senators.
[2022-03-08 23:08:14] Senators lines errors : Normal line # 1 Defense #1 is empty. Normal line # 3 LW is empty. Normal line # 4 RW is empty. Normal line # 4 Defense #4 is empty. Unknown Player is used twice in Normal line #4 Unknown Player is used twice in normal lines 1 and 3. 4 vs 4 line 1 C is empty. PP line 1 Defense #1 is empty. 4 vs 4 line 1 Defense #1 is empty. Unknown Player is used twice in 4 vs 4 line#1 PK line 2 C is empty. PK3 line 2 forward is empty. LastMinOff line Defense #3 is empty. LastMinDef line Defense #3 is empty. Extra Forward #1 is empty. Extra Defense #1 is empty. Penalty Shot Player #1 is empty. Extra Forward #4 is empty. Extra Defense #4 is empty.
[2022-03-08 23:08:14] Auto Roster Partial Function has been run for Senators.
[2022-03-08 23:08:14] Senators roster errors : Not enough Defenseman available in Pro Team! 5 Dressed. 6 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2022-03-08 06:57:06] Samuel Girard from Senators is back from Bruised Right Leg Injury.
[2022-03-08 06:57:06] Senators lines for next game are empty. Current rosters/lines are not erased. But, Senators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2022-03-08 06:57:06] Game 878 - Samuel Girard from Senators is injured (Bruised Right Leg) and is out for 3 days.
[2022-02-27 11:25:35] Senators lines for next game are empty. Current rosters/lines are not erased. But, Senators lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2022-02-27 11:25:34] Farm Game #865 - Christian Wolanin from Senators has scored a Hat Trick!
[2022-02-24 21:52:30] Senators lines for next game are empty. Current rosters/lines are not erased. But, Senators 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.

Senators Leaders statistiques (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
1	Mika Zibanejad	79	53	49	102	5	30	154	242	422	12.56%	21	1610	20.38	9	16	25	84	0	0	0	0	9	3	51.41%	5	1.27	2	7
2	Phillip Danault	82	24	41	65	-10	57	192	212	203	11.82%	9	1517	18.50	8	8	16	44	0	0	0	3	1	0	56.49%	0	0.86	1	3
3	Samuel Girard	77	5	50	55	12	24	39	97	53	9.43%	59	1649	21.43	4	10	14	33	0	1	1	0	0	0	0.00%	0	0.67	0	0
4	Ryan Ellis	82	9	42	51	-21	40	101	132	131	6.87%	97	1896	23.12	6	11	17	79	0	0	0	0	1	0	0.00%	0	0.54	0	1
5	Josh Bailey	82	25	25	50	-3	6	29	133	135	18.52%	13	1517	18.50	3	6	9	24	1	0	1	1	6	1	45.26%	1	0.66	2	5

Senators Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	A	EG	PS %	PSA
1	Chris Driedger	45	22	15	5	0.903	2.63	2645	2	116	1192	3	1	0.545	11
2	Mikko Koskinen	39	14	18	3	0.868	3.92	1852	3	121	915	0	0	0.857	7
3	Trevin Kozlowski	9	1	1	1	0.863	4.56	316	0	24	175	0	0	0.500	4
4	Artyom Zagidulin	3	0	2	0	0.899	3.59	117	0	7	69	0	0	0.000	0

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
Saison régulière
2021	82	32	36	0	2	5	3	4	242	274	-32	41	19	18	0	2	1	1	0	117	122	-5	41	13	18	0	0	4	2	4	125	152	-27	83	242	427	669	1	4	87	74	76	10	2200	658	742	777	47	2373	653	717	1834	302	45	14.90%	265	45	83.02%	1	1393	2676	52.06%	1366	2633	51.88%	648	1296	50.00%	1979	1367	1942	606	1046	525
Total Saison régulière	82	32	36	0	2	5	3	4	242	274	-32	41	19	18	0	2	1	1	0	117	122	-5	41	13	18	0	0	4	2	4	125	152	-27	83	242	427	669	1	4	87	74	76	10	2200	658	742	777	47	2373	653	717	1834	302	45	14.90%	265	45	83.02%	1	1393	2676	52.06%	1366	2633	51.88%	648	1296	50.00%	1979	1367	1942	606	1046	525

Senators Leaders statistiques (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)

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#	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 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% DG: Farlou Ferland \| Morale : 44 \| Moyenne d’équipe : N/A