Canadian Hockey League

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Meneurs d'équipe

Stats Équipe

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Guy Morin
	Entraîneur	Spencer Carbery
	Division	Atlantic
	Conférence	Eastern
	Capitaine	Quinn Hughes
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	GFS Center
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	23
	Équipe Mineure	29
	Limite contact	52 / 55
	Espoirs	19
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	90,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
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	133,114,831$
	Compte bancaire projeté	133,114,831$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	769-820-140 (0.445%)
	Apparitions séries éliminatoires	6
	Historique séries éliminatoires (W-L)	33-31
	Stanley Cup	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	Evgeni Malkin	X				100.00	50	60	68	91	78	84	81	90	80	99	78	65	74	99	92	0	20	79	0	40	1	6,500,000$
2	Patrick Kane			X		100.00	47	40	85	93	45	84	89	80	40	90	70	65	81	99	92	0	20	74	0	38	1	6,500,000$
3	Morgan Geekie	X				100.00	72	54	85	87	73	84	98	79	81	69	89	63	40	80	82	50	20	74	0	28	2	2,500,000$
4	Josh Norris	X				100.00	53	49	77	88	63	81	73	77	85	79	74	73	86	78	80	55	20	73	0	27	4	7,000,000$
5	Connor Dewar	X				100.00	83	46	85	83	51	78	96	61	82	57	65	87	40	78	78	55	20	69	0	27	1	2,000,000$
6	Tommy Novak	X				100.00	43	47	84	84	58	79	99	66	78	66	66	69	65	82	81	45	20	68	0	29	1	3,000,000$
7	Colin Blackwell	X				100.00	77	40	79	80	44	74	91	54	78	53	55	76	40	90	82	25	20	64	0	33	2	2,900,000$
8	Paul Cotter		X			100.00	97	56	85	75	72	72	97	53	87	46	59	59	80	78	75	55	20	63	0	27	3	2,500,000$
9	Quinn Hughes (C)				X	100.00	42	41	81	98	47	96	94	89	40	99	62	72	40	78	87	55	20	75	0	27	2	10,000,000$
10	Ian Cole				X	100.00	61	64	78	76	82	80	99	57	40	60	55	80	40	98	89	5	20	72	0	37	1	3,500,000$
11	Michael Anderson				X	100.00	73	47	85	79	59	84	98	56	40	56	56	80	40	78	81	55	20	71	0	27	1	3,500,000$
12	Cam Fowler				X	100.00	43	54	87	79	72	85	99	61	40	66	56	72	73	94	90	15	20	70	0	35	1	6,000,000$
13	Niko Mikkola				X	100.00	80	58	76	75	75	84	89	53	40	50	55	77	40	84	84	40	20	70	0	30	4	3,500,000$
Rayé
1	Vincent Trocheck	X				100.00	99	44	71	91	53	89	89	77	92	85	70	80	80	90	90	25	20	77	0	33	5	7,000,000$
2	Brayden Schenn	X				100.00	93	64	73	82	63	82	98	65	89	62	68	63	68	94	88	15	20	70	0	35	3	4,500,000$
3	Oliver Bjorkstrand			X		100.00	65	42	86	83	49	77	98	61	40	61	62	62	65	86	82	35	20	66	0	31	3	6,000,000$
4	Oskar Sundqvist	X				100.00	71	54	80	77	72	76	79	58	81	59	58	65	40	88	82	30	20	65	0	32	0	0$
5	Trent Frederic	X				100.00	99	68	74	75	78	73	94	49	92	43	54	61	40	80	77	50	20	62	0	28	1	3,000,000$
6	Drew Helleson				X	100.00	65	53	83	76	71	78	84	56	40	58	54	78	40	74	76	65	20	69	0	25	3	2,700,000$
7	Jeff Petry				X	100.00	63	53	83	75	71	74	89	51	40	51	50	68	40	99	87	0	20	67	0	39	0	0$
8	Dmitry Kulikov				X	100.00	67	52	79	75	69	80	56	45	40	40	50	69	65	96	88	10	20	64	0	36	0	0$
Équipe Mineure
1	Gage Goncalves	X				100.00	67	49	79	82	58	77	94	63	40	64	62	70	97	74	76	65	20	67	0	25	2	1,000,000$
2	Tanner Laczynski	X				100.00	45	52	82	82	69	72	50	66	84	81	50	71	40	82	77	45	20	65	0	29	1	975,000$
3	Braeden Bowman			X		100.00	48	51	86	82	66	78	80	65	40	67	62	64	40	70	74	75	20	65	0	23	2	1,500,000$
4	Vincent Hinostroza	X				100.00	55	45	80	81	49	73	87	56	40	55	58	61	78	88	81	30	20	62	0	32	1	950,000$
5	Cameron Hebig	X				100.00	55	47	81	82	50	77	67	58	70	55	60	60	40	82	80	45	20	61	0	29	1	900,000$
6	Jake Lucchini	X				100.00	53	48	83	80	55	72	62	58	70	63	52	50	40	86	79	35	20	60	0	31	1	900,000$
7	Jacob Gaucher (R)		X			100.00	65	52	77	75	82	78	68	46	40	39	54	61	40	74	76	65	20	58	0	25	2	700,000$
8	Francesco Pinelli		X			100.00	57	57	75	75	56	74	64	47	40	46	48	70	40	70	72	75	20	57	0	23	1	925,000$
9	Sam Morton (R)			X		100.00	61	46	81	75	56	77	67	48	70	45	51	50	40	78	78	55	20	56	0	27	2	575,000$
10	Declan Carlile				X	100.00	68	58	71	75	62	74	72	48	40	44	53	70	40	76	75	60	20	63	0	26	1	950,000$
11	Nikita Novikov				X	100.00	62	50	74	75	72	68	63	40	40	38	42	70	40	70	69	75	20	61	0	23	1	925,000$
12	Noel Hoefenmayer				X	100.00	71	53	78	75	65	55	50	47	40	51	44	57	40	78	67	55	20	58	0	27	1	900,000$
13	Matt Kiersted				X	100.00	55	44	74	75	52	55	50	37	40	33	40	62	40	80	68	50	20	55	0	28	1	850,000$
14	Carl Grundstrom			X		100.00	99	53	82	79	61	74	75	56	40	47	66	73	65	82	78	45	20	65	0	29	0	0$
15	Tomas Nosek		X			100.00	97	51	86	75	67	78	57	53	81	48	58	71	40	92	85	20	20	63	0	34	0	0$
16	Nikita Nesterenko	X				100.00	83	51	84	78	67	75	63	58	40	63	53	65	40	74	75	65	20	63	0	25	0	0$
17	Alexander Nylander			X		100.00	50	47	86	79	62	74	64	58	40	57	60	65	73	80	77	50	20	62	0	28	1	2,800,000$
18	Zack Ostapchuk	X				100.00	96	65	75	75	75	72	83	50	87	44	56	71	40	70	71	75	20	62	0	23	1	925,000$
19	Liam Foudy		X			100.00	54	49	85	79	57	69	59	57	40	49	66	70	40	76	73	60	20	61	0	26	2	775,000$
20	Cole Guttman	X				100.00	50	45	74	82	47	76	66	57	40	55	59	62	90	78	77	55	20	61	0	27	0	0$
21	Noah Philp	X				100.00	81	51	85	75	66	71	55	52	91	45	60	58	40	80	76	50	20	59	0	28	2	575,000$
22	Lucas Mercuri (R)	X				100.00	71	64	51	80	78	76	66	41	70	35	47	70	40	72	74	70	20	58	0	24	2	750,000$
23	Kasper Halttunen (R)		X			100.00	59	47	77	82	70	78	68	46	40	43	49	54	99	64	71	90	20	57	0	20	3	925,000$
24	Joe Hicketts				X	100.00	76	39	72	75	42	71	66	39	40	41	37	61	40	84	78	40	20	59	0	30	0	0$
25	David Spacek				X	100.00	51	46	85	77	56	63	58	52	40	60	45	59	40	70	67	75	20	59	0	23	1	925,000$
26	Cole Clayton				X	100.00	65	60	75	75	65	69	64	33	40	31	34	51	40	76	73	60	20	56	0	26	2	900,000$

	MOYENNE D’ÉQUIPE					100.00	67	51	79	80	63	76	77	57	57	56	57	67	53	81	79	46	20	65

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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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Jake Oettinger	100.00	88	96	99	99	89	87	88	88	90	86	92	80	84	50	20	87	0	28	4	6,178,000$
2	Pyotr Kochetkov	100.00	90	50	60	90	68	66	67	69	65	67	85	78	72	55	20	69	0	27	1	3,400,000$
Rayé
Équipe Mineure
1	Colten Ellis	100.00	89	50	60	86	84	84	77	83	82	82	58	76	80	60	20	77	0	26	3	1,700,000$
2	Matthew Murray	100.00	75	77	83	86	55	51	50	53	54	55	99	80	66	50	20	62	0	28	0	0$
3	Magnus Chrona	100.00	82	50	60	92	50	50	50	50	50	50	50	76	63	60	20	58	0	26	0	0$

	MOYENNE D’ÉQUIPE	100.00	85	65	72	91	69	68	66	69	68	68	77	78	73	55	20	71

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Spencer Carbery	81	92	85	77	80	80	80	CAN	45	3	1,500,000$

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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	2040	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2041	2042	2043	2044	2045	Link
Brayden Schenn	Senators	C	35	1991-08-22	No	200 Lbs	6 ft1	No	No	Yes	3	Pro Only	4,500,000$	4,500,000$	4,500,000$	No	4,500,000$	4,500,000$	UFA			Lien / Lien NHL
Cam Fowler	Senators	D	35	1991-12-05	No	213 Lbs	6 ft2	No	No	Yes	1	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	UFA					Lien / Lien NHL
Colin Blackwell	Senators	C	33	1993-03-28	No	181 Lbs	5 ft8	No	No	Yes	2	Pro & Farm	2,900,000$	2,900,000$	2,900,000$	No	2,900,000$	UFA				Lien / Lien NHL
Connor Dewar	Senators	C	27	1999-06-26	No	187 Lbs	5 ft10	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	UFA					Lien / Lien NHL
Dmitry Kulikov	Senators	D	36	1990-10-29	No	212 Lbs	6 ft1	No	No	No	0	Pro & Farm	UFA	0$	0$	No						Lien / Lien NHL
Drew Helleson	Senators	D	25	2001-03-26	No	208 Lbs	6 ft3	No	No	No	3	Pro & Farm	2,700,000$	2,700,000$	2,700,000$	No	2,700,000$	2,700,000$	UFA			Lien / Lien NHL
Evgeni Malkin	Senators	C	40	1986-07-31	No	213 Lbs	6 ft5	No	No	Yes	1	Pro Only	6,500,000$	6,500,000$	6,500,000$	No	UFA					Lien / Lien NHL
Ian Cole	Senators	D	37	1989-02-21	No	237 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	UFA					Lien / Lien NHL
Jake Oettinger	Senators	G	28	1998-12-18	No	205 Lbs	6 ft5	No	No	Yes	4	Pro Only	6,178,000$	6,178,000$	6,178,000$	No	6,178,000$	6,178,000$	6,178,000$	UFA		Lien / Lien NHL
Jeff Petry	Senators	D	39	1987-12-09	No	208 Lbs	6 ft3	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No						Lien / Lien NHL
Josh Norris	Senators	C	27	1999-05-05	No	196 Lbs	6 ft2	No	No	Yes	4	Pro Only	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$	7,000,000$	7,000,000$	UFA		Lien / Lien NHL
Michael Anderson	Senators	D	27	1999-05-25	No	195 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	UFA					Lien / Lien NHL
Morgan Geekie	Senators	C	28	1998-07-20	No	212 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	UFA				Lien / Lien NHL
Niko Mikkola	Senators	D	30	1996-04-27	No	204 Lbs	6 ft6	No	No	Yes	4	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	3,500,000$	3,500,000$	UFA		Lien / Lien NHL
Oliver Bjorkstrand	Senators	RW	31	1995-04-10	No	175 Lbs	6 ft0	No	No	Yes	3	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	6,000,000$	UFA			Lien / Lien NHL
Oskar Sundqvist	Senators	C	32	1994-03-23	No	210 Lbs	6 ft3	No	No	No	0	Pro & Farm	UFA	0$	0$	No						Lien / Lien NHL
Patrick Kane	Senators	RW	38	1988-11-19	No	176 Lbs	5 ft10	No	No	Yes	1	Pro Only	6,500,000$	6,500,000$	6,500,000$	No	UFA					Lien / Lien NHL
Paul Cotter	Senators	LW	27	1999-11-16	No	213 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	2,500,000$	UFA			Lien / Lien NHL
Pyotr Kochetkov	Senators	G	27	1999-06-25	No	176 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,400,000$	3,400,000$	3,400,000$	No	UFA					Lien / Lien NHL
Quinn Hughes	Senators	D	27	1999-10-14	No	180 Lbs	5 ft10	No	No	Yes	2	Pro Only	10,000,000$	10,000,000$	10,000,000$	No	10,000,000$	UFA				Lien / Lien NHL
Tommy Novak	Senators	C	29	1997-04-28	No	190 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	UFA					Lien / Lien NHL
Trent Frederic	Senators	C	28	1998-02-11	No	221 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	UFA					Lien / Lien NHL
Vincent Trocheck	Senators	C	33	1993-07-11	No	187 Lbs	5 ft11	No	No	Yes	5	Pro Only	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$	7,000,000$	7,000,000$	7,000,000$	UFA	Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
23	31.26	200 Lbs	6 ft1	1.91	4,007,739$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
92,178,000$	54,778,000$	39,378,000$	23,678,000$	7,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Patrick Kane		Josh Norris	35	1	2	2
2		Evgeni Malkin		35	1	2	2
3	Morgan Geekie	Paul Cotter	Tommy Novak	20	1	1	3
4	Connor Dewar	Colin Blackwell		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Niko Mikkola	30	1	2	2
2	Cam Fowler	Michael Anderson	30	1	2	2
3		Ian Cole	25	1	2	2
4	Michael Anderson	Niko Mikkola	15	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Patrick Kane	Josh Norris		50	1	0	4
2	Morgan Geekie	Evgeni Malkin	Tommy Novak	50	1	0	4

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes		50	1	1	3
2	Cam Fowler	Niko Mikkola	50	1	1	3

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Morgan Geekie	50	1	4	0
2	Josh Norris	Colin Blackwell	50	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Ian Cole	50	2	3	0
2	Michael Anderson		50	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Morgan Geekie	50	1	4	0	Quinn Hughes	Ian Cole	50	1	4	0
2	Josh Norris	50	1	4	0	Cam Fowler	Michael Anderson	50	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Patrick Kane	50	1	2	2
2	Evgeni Malkin		50	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Quinn Hughes	Ian Cole	50	1	2	2
2	Cam Fowler	Niko Mikkola	50	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Tommy Novak	Evgeni Malkin		Quinn Hughes	Ian Cole

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Tommy Novak	Evgeni Malkin		Quinn Hughes	Ian Cole

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Patrick Kane, , Colin Blackwell	Patrick Kane, Morgan Geekie	Patrick Kane

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Niko Mikkola, , Ian Cole	Niko Mikkola	Michael Anderson,

Tirs de pénalité
Tommy Novak, Patrick Kane, Paul Cotter, , Evgeni Malkin

Gardien
#1 : Jake Oettinger, #2 : Pyotr Kochetkov

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

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Paul Cotter

AGE:27
SK:		75
EN:		72
DU:		97
PH:		53
PA:		46
SC:		59
DF:		59
Tomas Nosek

AGE:34
SK:		75
EN:		78
DU:		57
PH:		53
PA:		48
SC:		58
DF:		71
Liam Foudy

AGE:26
SK:		79
EN:		69
DU:		59
PH:		57
PA:		49
SC:		66
DF:		70
Jacob Gaucher (R)

AGE:25
SK:		75
EN:		78
DU:		68
PH:		46
PA:		39
SC:		54
DF:		61
Kasper Halttunen (R)

AGE:20
SK:		82
EN:		78
DU:		68
PH:		46
PA:		43
SC:		49
DF:		54
Francesco Pinelli

AGE:23
SK:		75
EN:		74
DU:		64
PH:		47
PA:		46
SC:		48
DF:		70

Evgeni Malkin

AGE:40
SK:		91
EN:		84
DU:		81
PH:		90
PA:		99
SC:		78
DF:		65
Vincent Trocheck

AGE:33
SK:		91
EN:		89
DU:		89
PH:		77
PA:		85
SC:		70
DF:		80
Morgan Geekie

AGE:28
SK:		87
EN:		84
DU:		98
PH:		79
PA:		69
SC:		89
DF:		63
Josh Norris

AGE:27
SK:		88
EN:		81
DU:		73
PH:		77
PA:		79
SC:		74
DF:		73
Brayden Schenn

AGE:35
SK:		82
EN:		82
DU:		98
PH:		65
PA:		62
SC:		68
DF:		63
Connor Dewar

AGE:27
SK:		83
EN:		78
DU:		96
PH:		61
PA:		57
SC:		65
DF:		87
Tommy Novak

AGE:29
SK:		84
EN:		79
DU:		99
PH:		66
PA:		66
SC:		66
DF:		69
Gage Goncalves

AGE:25
SK:		82
EN:		77
DU:		94
PH:		63
PA:		64
SC:		62
DF:		70
Tanner Laczynski

AGE:29
SK:		82
EN:		72
DU:		50
PH:		66
PA:		81
SC:		50
DF:		71
Oskar Sundqvist

AGE:32
SK:		77
EN:		76
DU:		79
PH:		58
PA:		59
SC:		58
DF:		65
Colin Blackwell

AGE:33
SK:		80
EN:		74
DU:		91
PH:		54
PA:		53
SC:		55
DF:		76
Nikita Nesterenko

AGE:25
SK:		78
EN:		75
DU:		63
PH:		58
PA:		63
SC:		53
DF:		65
Zack Ostapchuk

AGE:23
SK:		75
EN:		72
DU:		83
PH:		50
PA:		44
SC:		56
DF:		71
Trent Frederic

AGE:28
SK:		75
EN:		73
DU:		94
PH:		49
PA:		43
SC:		54
DF:		61
Vincent Hinostroza

AGE:32
SK:		81
EN:		73
DU:		87
PH:		56
PA:		55
SC:		58
DF:		61
Cole Guttman

AGE:27
SK:		82
EN:		76
DU:		66
PH:		57
PA:		55
SC:		59
DF:		62
Cameron Hebig

AGE:29
SK:		82
EN:		77
DU:		67
PH:		58
PA:		55
SC:		60
DF:		60
Jake Lucchini

AGE:31
SK:		80
EN:		72
DU:		62
PH:		58
PA:		63
SC:		52
DF:		50
Noah Philp

AGE:28
SK:		75
EN:		71
DU:		55
PH:		52
PA:		45
SC:		60
DF:		58
Lucas Mercuri (R)

AGE:24
SK:		80
EN:		76
DU:		66
PH:		41
PA:		35
SC:		47
DF:		70

Patrick Kane

AGE:38
SK:		93
EN:		84
DU:		89
PH:		80
PA:		90
SC:		70
DF:		65
Oliver Bjorkstrand

AGE:31
SK:		83
EN:		77
DU:		98
PH:		61
PA:		61
SC:		62
DF:		62
Braeden Bowman

AGE:23
SK:		82
EN:		78
DU:		80
PH:		65
PA:		67
SC:		62
DF:		64
Carl Grundstrom

AGE:29
SK:		79
EN:		74
DU:		75
PH:		56
PA:		47
SC:		66
DF:		73
Alexander Nylander

AGE:28
SK:		79
EN:		74
DU:		64
PH:		58
PA:		57
SC:		60
DF:		65
Sam Morton (R)

AGE:27
SK:		75
EN:		77
DU:		67
PH:		48
PA:		45
SC:		51
DF:		50

Défense #1

Défense #2

Gardien

Quinn Hughes

AGE:27
SK:		98
EN:		96
DU:		94
PH:		89
PA:		99
SC:		62
DF:		72
Ian Cole

AGE:37
SK:		76
EN:		80
DU:		99
PH:		57
PA:		60
SC:		55
DF:		80
Michael Anderson

AGE:27
SK:		79
EN:		84
DU:		98
PH:		56
PA:		56
SC:		56
DF:		80
Niko Mikkola

AGE:30
SK:		75
EN:		84
DU:		89
PH:		53
PA:		50
SC:		55
DF:		77
Cam Fowler

AGE:35
SK:		79
EN:		85
DU:		99
PH:		61
PA:		66
SC:		56
DF:		72
Drew Helleson

AGE:25
SK:		76
EN:		78
DU:		84
PH:		56
PA:		58
SC:		54
DF:		78
Jeff Petry

AGE:39
SK:		75
EN:		74
DU:		89
PH:		51
PA:		51
SC:		50
DF:		68
Dmitry Kulikov

AGE:36
SK:		75
EN:		80
DU:		56
PH:		45
PA:		40
SC:		50
DF:		69

Declan Carlile

AGE:26
SK:		75
EN:		74
DU:		72
PH:		48
PA:		44
SC:		53
DF:		70
Nikita Novikov

AGE:23
SK:		75
EN:		68
DU:		63
PH:		40
PA:		38
SC:		42
DF:		70
David Spacek

AGE:23
SK:		77
EN:		63
DU:		58
PH:		52
PA:		60
SC:		45
DF:		59
Joe Hicketts

AGE:30
SK:		75
EN:		71
DU:		66
PH:		39
PA:		41
SC:		37
DF:		61
Noel Hoefenmayer

AGE:27
SK:		75
EN:		55
DU:		50
PH:		47
PA:		51
SC:		44
DF:		57
Cole Clayton

AGE:26
SK:		75
EN:		69
DU:		64
PH:		33
PA:		31
SC:		34
DF:		51
Matt Kiersted

AGE:28
SK:		75
EN:		55
DU:		50
PH:		37
PA:		33
SC:		40
DF:		62

Jake Oettinger

AGE:28
SK:		88
AG:		89
RB:		87
SC:		88
HS:		88
RT:		90
DF:		86
Colten Ellis

AGE:26
SK:		89
AG:		84
RB:		84
SC:		77
HS:		83
RT:		82
DF:		82
Pyotr Kochetkov

AGE:27
SK:		90
AG:		68
RB:		66
SC:		67
HS:		69
RT:		65
DF:		67
Matthew Murray

AGE:28
SK:		75
AG:		55
RB:		51
SC:		50
HS:		53
RT:		54
DF:		55
Magnus Chrona

AGE:26
SK:		82
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

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
Aiden Fink	Senators	2037	162
Angus Macdonell	Senators	2038	146
Austin Burnevik	Senators	2038	195
Ben Boyd	Senators	2035	198
Casper Nassen	Senators	2038	177
Cole McKinney	Senators	2039	45
Dalyn Wakely	Senators	2038	134
Jaden Lipinski	Senators	2037	144
Jakub Milota	Senators	2038	109
James Clark	Senators	2037	175
Jeremy Hanzel	Senators	2037	149
Niilopekka Muhonen	Senators	2038	173
Oscar Plandowski	Senators	2035	184
Rico Gredig	Senators	2038	208
Theo Jacobsson	Senators	2035	216
Veeti Vaisanen	Senators	2038	102
Vojtech Port	Senators	2037	206
Warren Clark	Senators	2037	146
Xavier Veilleux	Senators	2038	189

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2041
2042
2043

Senators Leaders statistiques (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
1	Ales Kotalik	1472	217	330	547	-159	1060	1890	1769	2298	9.44%	878	23426	15.91	48	79	127	222	5	6	11	52	29	11	47.12%	1	0.47	6	13
2	Kris Versteeg	821	225	308	533	-72	277	647	1630	2038	11.04%	196	14368	17.50	62	112	174	430	5	3	8	34	28	20	41.53%	1	0.74	11	42
3	Mikko Rantanen	519	235	296	531	0	224	470	1041	1962	11.98%	111	11036	21.26	62	106	168	491	1	8	9	35	31	15	39.62%	11	0.96	11	37
4	Elias Lindholm	542	200	316	516	15	203	486	1548	1849	10.82%	149	11625	21.45	66	125	191	477	6	4	10	45	24	11	52.91%	2	0.89	12	36
5	Alexander Semin	536	218	295	513	-12	456	725	1145	1938	11.25%	225	13068	24.38	51	97	148	302	5	8	13	49	30	12	33.21%	7	0.79	10	57

Senators 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
1	Mike Smith	399	175	179	35	0.905	3.11	23511	39	19	1218	12854	0	23	10	0.746	185
2	Jaroslav Halak	228	115	87	20	0.914	2.56	13382	44	11	571	6635	2668	11	5	0.761	113
3	Petr Mrazek	193	100	76	11	0.903	3.02	11255	14	9	567	5841	0	8	2	0.810	63
4	Pyotr Kochetkov	133	70	49	4	0.893	3.26	7572	23	3	411	3845	0	5	2	0.833	30
5	Peter Budaj	80	44	29	7	0.896	2.93	4797	0	4	234	2247	0	4	1	0.722	36

Senators 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
Saison régulière
2017	82	30	40	0	3	3	5	1	240	264	-24	41	15	19	0	2	2	3	0	129	131	-2	41	15	21	0	1	1	2	1	111	133	-22	69	240	392	632	1	1	0	64	83	85	2472	0	744	898	821	2707	884	1068	1872	266	58	21.80%	258	50	80.62%	5	975	1932	50.47%	1017	2119	47.99%	658	1362	48.31%	1692	936	1936	837	1503	747
2018	82	27	40	0	6	2	3	4	236	248	-12	41	14	21	0	1	1	2	2	114	119	-5	41	13	19	0	5	1	1	2	122	129	-7	68	236	381	617	0	1	0	50	92	85	2376	0	659	894	801	2689	816	1085	1840	195	34	17.44%	240	40	83.33%	9	855	1865	45.84%	1001	2127	47.06%	679	1350	50.30%	1641	894	1809	765	1522	755
2019	82	32	35	0	4	2	5	4	229	222	7	41	14	17	0	3	0	3	4	113	111	2	41	18	18	0	1	2	2	0	116	111	5	74	229	357	586	1	6	0	68	81	71	2410	0	736	840	810	2471	801	1230	1745	210	45	21.43%	237	47	80.17%	8	978	2025	48.30%	1010	2027	49.83%	569	1107	51.40%	1661	891	1736	775	1573	786
2020	82	33	34	0	2	1	6	6	230	240	-10	41	18	15	0	1	0	4	3	113	104	9	41	15	19	0	1	1	2	3	117	136	-19	71	230	364	594	5	3	0	60	68	94	2338	0	644	812	854	2438	812	1119	1794	214	51	23.83%	255	49	80.78%	5	966	1918	50.36%	957	1996	47.95%	586	1161	50.47%	1638	845	1713	791	1632	816
2021	82	21	52	0	1	2	4	2	204	281	-77	41	14	23	0	1	1	1	1	110	132	-22	41	7	29	0	0	1	3	1	94	149	-55	46	204	366	570	3	2	0	75	63	61	2249	0	728	727	783	2725	762	1087	2086	367	60	16.35%	428	84	80.37%	1	1069	2803	38.14%	1178	3227	36.50%	470	1286	36.55%	1844	1242	2076	621	1038	505
2022	82	36	31	0	3	1	4	7	241	227	14	41	22	12	0	3	1	0	3	137	113	24	41	14	19	0	0	0	4	4	104	114	-10	79	241	417	658	1	4	0	88	64	82	2315	0	722	767	792	2528	745	1054	1922	435	88	20.23%	410	63	84.63%	3	1023	2857	35.81%	1119	3133	35.72%	427	1245	34.30%	1908	1282	2036	639	1037	510
2023	82	33	34	0	4	2	6	3	264	253	11	41	18	17	0	1	1	3	1	133	125	8	41	15	17	0	3	1	3	2	131	128	3	76	264	460	724	1	5	0	95	92	67	2562	0	812	836	890	2655	818	1078	1933	438	107	24.43%	447	85	80.98%	6	1316	3050	43.15%	1261	3106	40.60%	534	1313	40.67%	1899	1280	2033	627	1042	514
2024	82	22	43	0	0	4	6	7	251	322	-71	41	13	21	0	0	3	2	2	127	160	-33	41	9	22	0	0	1	4	5	124	162	-38	67	251	445	696	5	1	0	85	88	72	2492	0	847	790	825	2912	874	1225	2109	374	82	21.93%	520	140	73.08%	7	1237	2926	42.28%	1197	3323	36.02%	523	1336	39.15%	1854	1234	2098	628	1037	507
2025	82	20	51	0	4	3	2	2	240	334	-94	41	12	23	0	2	2	1	1	127	167	-40	41	8	28	0	2	1	1	1	113	167	-54	57	240	430	670	3	0	0	85	73	76	2302	0	720	762	801	3051	841	1163	2163	386	69	17.88%	478	138	71.13%	3	1220	2773	44.00%	1351	3416	39.55%	535	1339	39.96%	1763	1160	2141	644	1051	502
2026	82	19	45	0	2	6	7	3	258	340	-82	41	11	25	0	0	2	2	1	137	178	-41	41	8	20	0	2	4	5	2	121	162	-41	65	258	435	693	0	0	0	86	86	77	2603	0	838	866	871	3009	889	1310	2049	419	84	20.05%	553	148	73.24%	6	1453	2970	48.92%	1496	3345	44.72%	671	1388	48.34%	1778	1169	2167	649	1043	495
2027	82	21	52	0	1	1	3	4	207	321	-114	41	13	22	0	1	1	2	2	111	145	-34	41	8	30	0	0	0	1	2	96	176	-80	55	207	360	567	0	2	0	78	65	60	2176	0	721	734	705	2852	871	1102	1928	396	58	14.65%	487	121	75.15%	4	1209	2708	44.65%	1312	3317	39.55%	550	1294	42.50%	1793	1193	2137	638	1028	487
2030	82	12	58	0	1	2	4	5	175	290	-115	41	7	29	0	0	1	1	3	86	142	-56	41	5	29	0	1	1	3	2	89	148	-59	41	175	301	476	0	3	0	67	56	47	2189	0	727	710	734	3079	933	1150	2035	380	51	13.42%	528	115	78.22%	5	1217	2736	44.48%	1426	3512	40.60%	564	1265	44.58%	1756	1155	2180	647	1034	489
2031	82	37	31	0	1	1	6	6	292	253	39	41	18	14	0	1	1	2	5	143	129	14	41	19	17	0	0	0	4	1	149	124	25	95	292	521	813	1	4	0	106	105	74	2695	0	887	877	916	2356	708	1001	1788	437	94	21.51%	426	93	78.17%	6	1683	3110	54.12%	1496	2884	51.87%	695	1304	53.30%	2070	1439	1877	609	1036	526
2032	82	35	35	0	1	4	1	6	268	267	1	41	16	16	0	1	4	0	4	125	129	-4	41	19	19	0	0	0	1	2	143	138	5	84	268	466	734	0	1	0	85	92	89	2750	0	886	887	956	2445	759	918	1808	417	80	19.18%	406	77	81.03%	3	1676	3186	52.61%	1494	2853	52.37%	704	1292	54.49%	2001	1381	1934	612	1030	516
2033	82	31	36	0	2	2	5	6	250	280	-30	41	15	18	0	1	0	4	3	121	126	-5	41	16	18	0	1	2	1	3	129	154	-25	84	250	422	672	0	3	0	91	87	65	2531	0	844	855	808	2655	765	1077	1826	429	70	16.32%	480	90	81.25%	5	1553	2998	51.80%	1440	3097	46.50%	667	1293	51.59%	1965	1342	2003	623	1014	507
2034	82	34	38	0	2	2	5	1	269	279	-10	41	19	15	0	1	2	4	0	149	134	15	41	15	23	0	1	0	1	1	120	145	-25	85	269	472	741	1	1	0	100	79	83	2622	0	834	838	935	2568	798	949	1948	409	77	18.83%	403	88	78.16%	0	1384	3024	45.77%	1235	2998	41.19%	606	1319	45.94%	1947	1330	1971	609	1035	518
2035	82	43	33	0	0	2	2	2	270	241	29	41	20	15	0	0	2	2	2	142	123	19	41	23	18	0	0	0	0	0	128	118	10	94	270	486	756	1	5	0	87	94	87	2620	0	884	854	870	2592	745	1027	1968	439	84	19.13%	437	72	83.52%	5	1470	3024	48.61%	1322	3069	43.08%	610	1289	47.32%	1987	1370	1938	607	1019	508
2036	82	40	29	0	2	3	4	4	295	261	34	41	21	14	0	1	1	2	2	155	127	28	41	19	15	0	1	2	2	2	140	134	6	99	295	528	823	2	4	0	112	91	86	2698	0	876	881	896	2231	699	855	1745	433	82	18.94%	379	78	79.42%	4	1561	3061	51.00%	1361	2671	50.95%	657	1346	48.81%	2127	1503	1819	586	1028	529
2037	82	28	41	0	4	3	3	3	280	314	-34	41	14	20	0	2	1	2	2	135	155	-20	41	14	21	0	2	2	1	1	145	159	-14	76	280	480	760	3	1	114	83	76	7	2616	835	854	898	44	2612	738	923	1689	395	86	21.77%	397	90	77.33%	9	1492	2876	51.88%	1479	2895	51.09%	708	1382	51.23%	1952	1353	1992	604	1026	511
2038	82	39	28	0	8	1	6	0	337	262	75	41	18	16	0	5	0	2	0	168	132	36	41	21	12	0	3	1	4	0	169	130	39	107	337	577	914	2	3	114	113	96	17	3073	992	989	1053	56	2511	782	987	1842	424	93	21.93%	412	81	80.34%	3	1741	3330	52.28%	1551	2902	53.45%	754	1371	55.00%	2015	1391	1927	613	1031	523
2039	82	26	34	0	9	6	3	4	246	275	-29	41	11	16	0	6	4	2	2	120	131	-11	41	15	18	0	3	2	1	2	126	144	-18	86	246	435	681	1	1	80	81	73	16	2502	832	807	831	61	2682	777	1122	1751	346	76	21.97%	443	84	81.04%	2	1504	2836	53.03%	1617	3089	52.35%	703	1319	53.30%	1920	1321	2020	614	1040	513
Total Saison régulière	1722	619	820	0	60	53	90	80	5282	5774	-492	861	323	388	0	33	30	44	43	2695	2813	-118	861	296	432	0	27	23	46	37	2587	2961	-374	1578	5282	9095	14377	31	51	308	1759	1704	1401	52591	2659	16759	17610	15229	55768	16817	22530	39841	7809	1529	19.58%	8624	1833	78.75%	99	27582	58008	47.55%	27320	61106	44.71%	12870	27361	47.04%	39221	25724	41554	13747	23807	11775
Séries éliminatoires
2019	17	10	7	0	0	0	0	0	35	36	-1	8	5	3	0	0	0	0	0	14	13	1	9	5	4	0	0	0	0	0	21	23	-2	20	35	56	91	1	2	0	8	14	10	417	0	104	153	148	456	147	153	396	43	7	16.28%	18	2	88.89%	0	172	360	47.78%	152	353	43.06%	100	219	45.66%	319	154	360	164	352	178
2022	7	3	4	0	0	0	0	0	20	24	-4	3	1	2	0	0	0	0	0	7	12	-5	4	2	2	0	0	0	0	0	13	12	1	6	20	37	57	0	0	0	3	12	5	212	0	56	92	64	267	90	86	164	34	8	23.53%	42	10	76.19%	1	98	251	39.04%	107	303	35.31%	43	105	40.95%	150	99	183	53	86	41
2031	5	1	4	0	0	0	0	0	14	20	-6	2	1	1	0	0	0	0	0	6	5	1	3	0	3	0	0	0	0	0	8	15	-7	2	14	26	40	0	0	0	6	2	6	143	0	55	43	42	142	43	70	108	29	6	20.69%	29	7	75.86%	0	92	182	50.55%	73	182	40.11%	39	85	45.88%	121	82	123	38	61	30
2035	18	10	8	0	0	0	0	0	55	55	0	9	6	3	0	0	0	0	0	26	20	6	9	4	5	0	0	0	0	0	29	35	-6	20	55	98	153	0	0	0	17	18	18	568	0	175	214	150	591	174	221	439	104	21	20.19%	94	22	76.60%	1	344	685	50.22%	291	733	39.70%	143	295	48.47%	432	301	464	137	223	111
2036	11	7	4	0	0	0	0	0	39	31	8	5	3	2	0	0	0	0	0	14	13	1	6	4	2	0	0	0	0	0	25	18	7	14	39	66	105	0	0	0	14	13	10	330	0	108	115	89	371	117	133	217	62	12	19.35%	60	11	81.67%	0	209	419	49.88%	210	447	46.98%	72	174	41.38%	269	184	279	84	139	69
2038	6	2	4	0	0	0	0	0	21	26	-5	3	1	2	0	0	0	0	0	10	13	-3	3	1	2	0	0	0	0	0	11	13	-2	4	21	38	59	0	0	10	6	4	1	205	77	72	50	6	191	58	77	126	31	7	22.58%	32	7	78.13%	1	108	222	48.65%	126	226	55.75%	55	103	53.40%	145	100	144	46	74	37
Total Séries éliminatoires	64	33	31	0	0	0	0	0	184	192	-8	30	17	13	0	0	0	0	0	77	76	1	34	16	18	0	0	0	0	0	107	116	-9	66	184	321	505	1	2	10	54	63	50	1875	77	570	667	499	2018	629	740	1450	303	61	20.13%	275	59	78.55%	3	1023	2119	48.28%	959	2244	42.74%	452	981	46.08%	1438	922	1556	524	938	468

Senators Leaders statistiques (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
1	Mikko Rantanen	26	18	25	43	12	6	22	63	131	13.74%	6	685	26.35	8	8	16	31	1	0	1	8	3	2	35.06%	1	1.26
2	Elias Lindholm	32	15	27	42	14	8	24	101	123	12.20%	16	794	24.83	3	11	14	31	0	1	1	4	2	0	51.07%	0	1.06
3	Marcus Foligno	29	12	16	28	13	69	106	38	77	15.58%	8	541	18.68	5	5	10	14	0	0	0	1	3	2	40.85%	1	1.03
4	Teddy Blueger	29	6	16	22	2	17	22	81	67	8.96%	10	500	17.26	2	5	7	19	0	0	0	0	1	0	52.65%	0	0.88
5	Alexander Semin	24	5	15	20	1	37	26	48	56	8.93%	7	532	22.21	0	4	4	6	0	0	0	1	2	0	35.71%	0	0.75

Senators Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	SAR	A	EG
1	Jaroslav Halak	17	10	7	0	0.923	2.04	1031	2	35	455	181	1	1
2	Petr Mrazek	16	9	5	2	0.903	3.07	958	0	49	505	0	1	0
3	Ville Husso	11	7	3	1	0.916	2.70	688	0	31	371	0	1	0
4	Mike Smith	7	3	4	0	0.903	3.68	391	0	24	248	0	0	0
5	Pyotr Kochetkov	6	2	4	0	0.857	4.32	333	0	24	168	0	0	0