Canadian Hockey League

Wolves
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Meneurs d'équipe

Stats Équipe

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Jonathan Lee
	Entraîneur	Paul Maurice
	Division	Pacific
	Conférence	Western
	Capitaine	Anze Kopitar
	Assistant #1	Ryan Nugent-Hopkins
	Assistant #2	Seth Jones
Uniformes

Informations de l’aréna
	Nom	Rogers Arena
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	21
	Équipe Mineure	32
	Limite contact	53 / 50
	Espoirs	72
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	13
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	340,055,120$
	Compte bancaire projeté	340,055,120$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	1046-479-124 (0.634%)
	Apparitions séries éliminatoires	18
	Historique séries éliminatoires (W-L)	152-113
	Stanley Cup	1

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	Jake Guentzel		X			100.00	48	42	84	96	48	88	98	86	81	80	92	75	77	84	86	40	20	78	0	30	3	10,000,000$
2	Roope Hintz	X				100.00	56	55	82	88	74	83	95	81	89	82	80	77	57	80	82	50	20	76	0	28	3	8,000,000$
3	Gabriel Vilardi			X		100.00	47	55	86	87	75	85	92	80	84	79	81	71	67	74	80	65	20	75	0	25	2	3,500,000$
4	Ryan Nugent-Hopkins (A)		X			100.00	48	47	84	86	59	86	96	71	84	70	71	84	75	86	86	35	20	73	0	31	3	7,000,000$
5	Dylan Cozens	X				100.00	99	58	73	82	71	83	99	69	86	71	66	65	40	70	77	75	20	70	0	23	3	6,500,000$
6	Jake Neighbours		X			100.00	89	59	76	85	62	81	99	68	40	64	72	67	99	68	75	80	20	70	0	22	1	925,000$
7	Joel Farabee		X			100.00	67	50	82	81	54	79	98	58	40	54	61	70	57	72	76	70	20	65	0	24	1	3,750,000$
8	Philipp Kurashev	X				100.00	54	46	85	79	56	77	78	56	82	51	61	64	80	74	76	65	20	62	0	25	4	5,000,000$
9	Seth Jones (A)				X	100.00	76	56	83	82	76	91	86	71	40	75	68	84	40	84	88	40	20	76	0	30	2	6,500,000$
10	Marcus Pettersson				X	100.00	64	49	78	79	58	86	96	61	40	66	56	90	40	80	83	50	20	73	0	28	1	3,500,000$
11	Hampus Lindholm				X	100.00	47	58	85	79	81	84	55	66	40	59	72	87	40	84	84	40	20	71	0	30	2	6,500,000$
Rayé
1	Anze Kopitar (C)	X				100.00	49	58	89	86	80	86	98	79	92	87	71	79	76	98	92	5	20	77	0	37	0	0$
2	Troy Terry			X		100.00	42	46	85	88	57	86	96	74	40	76	72	69	69	78	82	55	20	71	0	27	0	0$
3	Luke Evangelista			X		100.00	50	44	84	84	53	78	89	64	40	67	62	69	40	68	73	80	20	66	0	22	0	0$
4	Lawson Crouse		X			100.00	96	63	80	75	76	77	98	54	40	46	62	70	40	78	78	55	20	65	0	27	0	0$
5	Mattias Ekholm				X	100.00	55	60	81	80	84	87	87	69	40	70	67	92	40	92	90	20	20	77	0	34	0	0$
6	Jonas Brodin				X	100.00	53	49	83	81	63	88	77	63	40	66	60	89	40	86	87	35	20	73	0	31	1	4,000,000$
7	Conor Timmins				X	100.00	59	55	81	75	74	78	89	55	40	54	55	76	40	76	77	60	20	68	0	26	0	0$
8	Scott Perunovich				X	100.00	50	40	84	82	45	77	67	57	40	56	57	69	40	76	77	60	20	64	0	26	0	0$
Équipe Mineure
1	William Villeneuve				X	100.00	42	40	75	78	57	59	54	56	40	70	39	70	40	68	64	80	20	60	0	22	1	925,000$
2	Anton Lundell	X				100.00	73	48	81	84	61	82	97	68	88	69	68	85	87	70	76	75	20	72	0	23	0	0$
3	Simon Holmstrom			X		100.00	48	54	88	83	73	83	94	70	40	67	72	79	73	70	77	75	20	70	0	23	0	0$
4	Alexander Laferriere			X		100.00	78	51	85	83	66	82	96	67	72	64	70	71	40	70	76	75	20	69	0	23	0	0$
5	Cody Glass	X				100.00	59	52	85	78	68	77	87	59	86	60	58	76	99	74	76	65	20	66	0	25	0	0$
6	Peyton Krebs	X				100.00	79	55	75	81	54	78	98	59	84	58	60	67	40	70	74	75	20	65	0	23	0	0$
7	Alex Newhook	X				100.00	65	47	84	80	59	80	99	58	78	51	65	63	40	70	75	75	20	64	0	23	0	0$
8	Sam Colangelo (R)			X		100.00	89	53	89	78	71	75	65	60	40	45	76	60	40	70	73	75	20	63	0	23	1	575,000$
9	Adam Edstrom	X				100.00	83	70	79	75	96	70	78	52	40	46	58	65	40	72	71	70	20	62	0	24	0	0$
10	Ryan Suzuki	X				100.00	63	67	82	81	58	78	68	60	70	70	44	50	99	70	74	75	20	61	0	23	0	0$
11	Bradly Nadeau (R)		X			100.00	50	43	79	93	45	73	63	62	40	53	70	50	99	62	68	95	20	61	0	19	3	925,000$
12	Sean Farrell		X			100.00	41	39	87	80	43	76	66	52	40	49	54	68	40	70	73	75	20	58	0	23	0	0$
13	Jake Wise		X			100.00	49	44	84	78	52	65	55	51	40	48	53	70	40	72	69	70	20	57	0	24	0	0$
14	Judd Caulfield			X		100.00	62	49	78	75	77	76	66	40	40	37	43	62	40	70	73	75	20	55	0	23	0	0$
15	Samuel Honzek (R)		X			100.00	72	52	83	81	67	61	51	42	40	41	43	63	40	64	63	90	20	55	0	20	3	925,000$
16	Otto Stenberg (R)		X			100.00	54	41	88	90	49	60	50	43	40	46	41	65	40	62	61	95	20	54	0	19	3	925,000$
17	Aku Raty			X		100.00	53	47	77	75	58	74	64	41	40	44	38	50	99	70	72	75	20	53	0	23	0	0$
18	Jacob Melanson		X			100.00	67	68	67	75	67	60	50	38	40	30	46	57	40	66	63	85	20	51	0	21	0	0$
19	Julian Lutz (R)		X			100.00	66	48	85	84	61	60	50	36	40	39	33	53	40	64	62	90	20	51	0	20	1	575,000$
20	Paul Ludwinski (R)		X			100.00	59	47	81	87	54	74	64	33	40	26	39	54	40	64	69	90	20	51	0	20	1	575,000$
21	Jamieson Rees		X			100.00	55	61	85	75	50	60	50	39	40	40	38	53	40	70	65	75	20	50	0	23	0	0$
22	Pavel Novak			X		100.00	51	52	81	75	49	60	50	34	40	26	43	59	40	68	64	80	20	49	0	22	0	0$
23	Jack Thompson				X	100.00	49	47	84	81	58	76	64	61	40	56	66	73	40	68	72	80	20	65	0	22	0	0$
24	Ville Ottavainen				X	100.00	69	58	78	75	84	72	67	35	40	34	35	67	40	68	70	80	20	61	0	22	0	0$
25	Isaiah George (R)				X	100.00	50	48	86	76	61	76	66	52	40	50	54	66	40	64	70	90	20	61	0	20	1	575,000$
26	Domenick Fensore				X	100.00	46	52	78	77	43	71	66	47	40	48	47	70	40	70	71	75	20	60	0	23	0	0$
27	Maksymilian Szuber				X	100.00	54	38	76	75	68	69	64	47	40	52	43	57	40	68	69	80	20	59	0	22	0	0$
28	Jack Matier				X	100.00	63	50	82	75	76	55	50	33	40	32	33	65	40	66	61	85	20	57	0	21	0	0$
29	William Wallinder				X	100.00	56	40	87	75	72	66	61	38	40	42	34	56	40	68	67	80	20	57	0	22	0	0$

	MOYENNE D’ÉQUIPE					100.00	60	51	82	81	63	76	76	57	52	56	57	69	53	73	74	68	20	64

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	Joey Daccord	100.00	92	99	99	90	89	83	82	87	89	87	72	80	82	50	20	85	0	28	1	3,500,000$
Rayé
1	Samuel Ersson	100.00	87	87	90	90	72	73	72	74	72	69	99	74	74	65	20	75	0	25	0	0$
Équipe Mineure
1	Dylan Garand	100.00	77	68	73	81	61	60	62	61	61	61	87	68	64	80	20	64	0	22	1	925,000$
2	Nikke Kokko (R)	100.00	75	60	63	88	58	56	57	60	55	56	91	64	60	90	20	61	0	20	1	575,000$
3	Erik Portillo	100.00	77	50	60	99	50	50	50	50	50	50	99	72	61	70	20	58	0	24	0	0$

	MOYENNE D’ÉQUIPE	100.00	82	73	77	90	66	64	65	66	65	65	90	72	68	71	20	69

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Paul Maurice	99	93	85	68	93	86	54	CAN	58	3	2,000,000$

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	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	Link
Anze Kopitar	Canucks	C	37	1987-08-24	No	225 Lbs	6 ft3	No	No	Yes	0	Pro Only	UFA	0$	0$	No					Lien / Lien NHL
Conor Timmins	Canucks	D	26	1998-09-18	No	213 Lbs	6 ft3	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Dylan Cozens	Canucks	C	23	2001-02-09	No	207 Lbs	6 ft3	No	No	No	3	Pro Only	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	6,500,000$	RFA		Lien / Lien NHL
Gabriel Vilardi	Canucks	RW	25	1999-08-16	No	216 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	RFA			Lien / Lien NHL
Hampus Lindholm	Canucks	D	30	1994-01-20	No	224 Lbs	6 ft4	No	No	Yes	2	Pro Only	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	UFA			Lien / Lien NHL
Jake Guentzel	Canucks	LW	30	1994-10-06	No	178 Lbs	5 ft11	No	No	Yes	3	Pro Only	10,000,000$	10,000,000$	10,000,000$	No	10,000,000$	10,000,000$	UFA		Lien / Lien NHL
Jake Neighbours	Canucks	LW	22	2002-03-29	No	201 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	No	RFA				Lien / Lien NHL
Joel Farabee	Canucks	LW	24	2000-02-25	No	186 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	RFA				Lien / Lien NHL
Joey Daccord	Canucks	G	28	1996-08-19	No	197 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	UFA				Lien / Lien NHL
Jonas Brodin	Canucks	D	31	1993-07-12	No	196 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	No	UFA				Lien / Lien NHL
Lawson Crouse	Canucks	LW	27	1997-06-23	No	214 Lbs	6 ft4	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Luke Evangelista	Canucks	RW	22	2002-02-21	No	183 Lbs	6 ft0	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Marcus Pettersson	Canucks	D	28	1996-05-08	No	174 Lbs	6 ft5	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	UFA				Lien / Lien NHL
Mattias Ekholm	Canucks	D	34	1990-05-24	No	225 Lbs	6 ft5	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No					Lien / Lien NHL
Philipp Kurashev	Canucks	C	25	1999-10-12	No	190 Lbs	6 ft0	No	No	Yes	4	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	5,000,000$	UFA	Lien / Lien NHL
Roope Hintz	Canucks	C	28	1996-11-17	No	213 Lbs	6 ft3	No	No	Yes	3	Pro Only	8,000,000$	8,000,000$	8,000,000$	No	8,000,000$	8,000,000$	UFA		Lien / Lien NHL
Ryan Nugent-Hopkins	Canucks	LW	31	1993-04-12	No	192 Lbs	6 ft1	No	No	Yes	3	Pro Only	7,000,000$	7,000,000$	7,000,000$	No	7,000,000$	7,000,000$	UFA		Lien / Lien NHL
Samuel Ersson	Canucks	G	25	1999-10-20	No	176 Lbs	6 ft2	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Scott Perunovich	Canucks	D	26	1998-08-18	No	175 Lbs	5 ft10	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Seth Jones	Canucks	D	30	1994-10-03	No	213 Lbs	6 ft4	No	No	Yes	2	Pro Only	6,500,000$	6,500,000$	6,500,000$	No	6,500,000$	UFA			Lien / Lien NHL
Troy Terry	Canucks	RW	27	1997-09-10	No	191 Lbs	6 ft0	No	No	Yes	0	Pro Only	RFA	0$	0$	No					Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	27.57	199 Lbs	6 ft2	1.29	3,270,238$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
68,675,000$	53,000,000$	36,500,000$	5,000,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jake Guentzel		Ryan Nugent-Hopkins	40	0	1	4
2		Roope Hintz	Gabriel Vilardi	30	0	1	4
3	Joel Farabee	Philipp Kurashev	Jake Neighbours	20	0	2	3
4		Dylan Cozens		10	0	3	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Seth Jones	50	0	2	3
2	Marcus Pettersson	Hampus Lindholm	30	0	3	2
3			20	1	4	0
4		Seth Jones	0	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jake Guentzel	Roope Hintz	Ryan Nugent-Hopkins	60	0	0	5
2		Roope Hintz	Gabriel Vilardi	40	0	0	5

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Philipp Kurashev	Seth Jones	60	0	0	5
2	Jake Neighbours	Joel Farabee	40	0	0	5

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Roope Hintz	Ryan Nugent-Hopkins	60	0	5	0
2	Roope Hintz		40	0	5	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Marcus Pettersson	60	0	5	0
2	Marcus Pettersson		40	0	5	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Roope Hintz	60	0	5	0	Marcus Pettersson		60	0	5	0
2	Ryan Nugent-Hopkins	40	0	5	0	Marcus Pettersson		40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Roope Hintz	Ryan Nugent-Hopkins	60	0	2	3
2	Roope Hintz	Jake Guentzel	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1		Seth Jones	60	0	3	2
2	Marcus Pettersson	Hampus Lindholm	40	0	4	1

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Ryan Nugent-Hopkins	Roope Hintz	Jake Guentzel	Seth Jones	Hampus Lindholm

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jake Guentzel	Roope Hintz	Ryan Nugent-Hopkins	Marcus Pettersson

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Roope Hintz, Philipp Kurashev, Jake Guentzel	Roope Hintz, Jake Guentzel	Ryan Nugent-Hopkins

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
, Seth Jones, Hampus Lindholm	Seth Jones	Marcus Pettersson,

Tirs de pénalité
Jake Neighbours, Philipp Kurashev, Roope Hintz, Joel Farabee, Ryan Nugent-Hopkins

Gardien
#1 : Joey Daccord, #2 :

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

Jake Guentzel

AGE:30
SK:		96
EN:		88
DU:		98
PH:		86
PA:		80
SC:		92
DF:		75
Ryan Nugent-Hopkins

AGE:31
SK:		86
EN:		86
DU:		96
PH:		71
PA:		70
SC:		71
DF:		84
Jake Neighbours

AGE:22
SK:		85
EN:		81
DU:		99
PH:		68
PA:		64
SC:		72
DF:		67
Joel Farabee

AGE:24
SK:		81
EN:		79
DU:		98
PH:		58
PA:		54
SC:		61
DF:		70
Lawson Crouse

AGE:27
SK:		75
EN:		77
DU:		98
PH:		54
PA:		46
SC:		62
DF:		70
Bradly Nadeau (R)

AGE:19
SK:		93
EN:		73
DU:		63
PH:		62
PA:		53
SC:		70
DF:		50
Sean Farrell

AGE:23
SK:		80
EN:		76
DU:		66
PH:		52
PA:		49
SC:		54
DF:		68
Jake Wise

AGE:24
SK:		78
EN:		65
DU:		55
PH:		51
PA:		48
SC:		53
DF:		70
Samuel Honzek (R)

AGE:20
SK:		81
EN:		61
DU:		51
PH:		42
PA:		41
SC:		43
DF:		63
Otto Stenberg (R)

AGE:19
SK:		90
EN:		60
DU:		50
PH:		43
PA:		46
SC:		41
DF:		65
Julian Lutz (R)

AGE:20
SK:		84
EN:		60
DU:		50
PH:		36
PA:		39
SC:		33
DF:		53
Paul Ludwinski (R)

AGE:20
SK:		87
EN:		74
DU:		64
PH:		33
PA:		26
SC:		39
DF:		54
Jacob Melanson

AGE:21
SK:		75
EN:		60
DU:		50
PH:		38
PA:		30
SC:		46
DF:		57
Jamieson Rees

AGE:23
SK:		75
EN:		60
DU:		50
PH:		39
PA:		40
SC:		38
DF:		53

Anze Kopitar

AGE:37
SK:		86
EN:		86
DU:		98
PH:		79
PA:		87
SC:		71
DF:		79
Roope Hintz

AGE:28
SK:		88
EN:		83
DU:		95
PH:		81
PA:		82
SC:		80
DF:		77
Anton Lundell

AGE:23
SK:		84
EN:		82
DU:		97
PH:		68
PA:		69
SC:		68
DF:		85
Dylan Cozens

AGE:23
SK:		82
EN:		83
DU:		99
PH:		69
PA:		71
SC:		66
DF:		65
Cody Glass

AGE:25
SK:		78
EN:		77
DU:		87
PH:		59
PA:		60
SC:		58
DF:		76
Peyton Krebs

AGE:23
SK:		81
EN:		78
DU:		98
PH:		59
PA:		58
SC:		60
DF:		67
Alex Newhook

AGE:23
SK:		80
EN:		80
DU:		99
PH:		58
PA:		51
SC:		65
DF:		63
Adam Edstrom

AGE:24
SK:		75
EN:		70
DU:		78
PH:		52
PA:		46
SC:		58
DF:		65
Philipp Kurashev

AGE:25
SK:		79
EN:		77
DU:		78
PH:		56
PA:		51
SC:		61
DF:		64
Ryan Suzuki

AGE:23
SK:		81
EN:		78
DU:		68
PH:		60
PA:		70
SC:		44
DF:		50

Gabriel Vilardi

AGE:25
SK:		87
EN:		85
DU:		92
PH:		80
PA:		79
SC:		81
DF:		71
Troy Terry

AGE:27
SK:		88
EN:		86
DU:		96
PH:		74
PA:		76
SC:		72
DF:		69
Simon Holmstrom

AGE:23
SK:		83
EN:		83
DU:		94
PH:		70
PA:		67
SC:		72
DF:		79
Alexander Laferriere

AGE:23
SK:		83
EN:		82
DU:		96
PH:		67
PA:		64
SC:		70
DF:		71
Luke Evangelista

AGE:22
SK:		84
EN:		78
DU:		89
PH:		64
PA:		67
SC:		62
DF:		69
Sam Colangelo (R)

AGE:23
SK:		78
EN:		75
DU:		65
PH:		60
PA:		45
SC:		76
DF:		60
Judd Caulfield

AGE:23
SK:		75
EN:		76
DU:		66
PH:		40
PA:		37
SC:		43
DF:		62
Aku Raty

AGE:23
SK:		75
EN:		74
DU:		64
PH:		41
PA:		44
SC:		38
DF:		50
Pavel Novak

AGE:22
SK:		75
EN:		60
DU:		50
PH:		34
PA:		26
SC:		43
DF:		59

Défense #1

Défense #2

Gardien

Mattias Ekholm

AGE:34
SK:		80
EN:		87
DU:		87
PH:		69
PA:		70
SC:		67
DF:		92
Seth Jones

AGE:30
SK:		82
EN:		91
DU:		86
PH:		71
PA:		75
SC:		68
DF:		84
Marcus Pettersson

AGE:28
SK:		79
EN:		86
DU:		96
PH:		61
PA:		66
SC:		56
DF:		90
Jonas Brodin

AGE:31
SK:		81
EN:		88
DU:		77
PH:		63
PA:		66
SC:		60
DF:		89
Hampus Lindholm

AGE:30
SK:		79
EN:		84
DU:		55
PH:		66
PA:		59
SC:		72
DF:		87
Conor Timmins

AGE:26
SK:		75
EN:		78
DU:		89
PH:		55
PA:		54
SC:		55
DF:		76
Jack Thompson

AGE:22
SK:		81
EN:		76
DU:		64
PH:		61
PA:		56
SC:		66
DF:		73
Scott Perunovich

AGE:26
SK:		82
EN:		77
DU:		67
PH:		57
PA:		56
SC:		57
DF:		69

Isaiah George (R)

AGE:20
SK:		76
EN:		76
DU:		66
PH:		52
PA:		50
SC:		54
DF:		66
Ville Ottavainen

AGE:22
SK:		75
EN:		72
DU:		67
PH:		35
PA:		34
SC:		35
DF:		67
William Villeneuve

AGE:22
SK:		78
EN:		59
DU:		54
PH:		56
PA:		70
SC:		39
DF:		70
Domenick Fensore

AGE:23
SK:		77
EN:		71
DU:		66
PH:		47
PA:		48
SC:		47
DF:		70
Maksymilian Szuber

AGE:22
SK:		75
EN:		69
DU:		64
PH:		47
PA:		52
SC:		43
DF:		57
Jack Matier

AGE:21
SK:		75
EN:		55
DU:		50
PH:		33
PA:		32
SC:		33
DF:		65
William Wallinder

AGE:22
SK:		75
EN:		66
DU:		61
PH:		38
PA:		42
SC:		34
DF:		56

Joey Daccord

AGE:28
SK:		92
AG:		89
RB:		83
SC:		82
HS:		87
RT:		89
DF:		87
Samuel Ersson

AGE:25
SK:		87
AG:		72
RB:		73
SC:		72
HS:		74
RT:		72
DF:		69
Dylan Garand

AGE:22
SK:		77
AG:		61
RB:		60
SC:		62
HS:		61
RT:		61
DF:		61
Nikke Kokko (R)

AGE:20
SK:		75
AG:		58
RB:		56
SC:		57
HS:		60
RT:		55
DF:		56
Erik Portillo

AGE:24
SK:		77
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
Aaron Huglen	Canucks	2033	134
Aaron Pionk	Canucks	2037	185
Aiden Celebrini	Canucks	2037	190
Alex Pharand	Canucks	2037	124
Alex Young	Canucks	2034	208
Alexander Perevalov	Canucks	2036	87
Andre Gasseau	Canucks	2037	216
Beckett Hendrickson	Canucks	2037	128
Benjamin Brinkman	Canucks	2033	207
Braden Doyle	Canucks	2033	200
Brandon Kruse	Canucks	2032	143
Brandon Svoboda	Canucks	2037	92
Brett Stapley	Canucks	2033	119
Carey Terrance	Canucks	2037	84
Carsen Musser	Canucks	2037	159
Case Mccarthy	Canucks	2033	131
Connor McClennon	Canucks	2034	158
Cruz Lucius	Canucks	2036	102
David Klee	Canucks	2037	207
David Tendeck	Canucks	2032	205
Denis Gabdrakhmanov	Canucks	2038	216
Emmett Croteau	Canucks	2036	185
Ethan Bowen	Canucks	2034	214
Evan Vierling	Canucks	2034	130
Francesco Arcuri	Canucks	2035	214
Fyodor Avramov	Canucks	2038	204
Gracyn Sawchyn	Canucks	2037	69
Gustav Berglund	Canucks	2033	210
Gustav Karlsson	Canucks	2036	216
Harrison Blaisdell	Canucks	2033	172
Ilya Safonov	Canucks	2035	212
Jack Perbix	Canucks	2032	145
Jacob Ingham	Canucks	2034	187
Jacob Olofsson	Canucks	2032	44
Joni Ikonen	Canucks	2031	28
Kale Howarth	Canucks	2031	121
Kasper Kulonummi	Canucks	2036	101
Lane Zablocki	Canucks	2031	96
Liam Gilmartin	Canucks	2035	199
Lucas Feuk	Canucks	2033	142
Luke Prokop	Canucks	2034	94
Manix Landry	Canucks	2035	167
Marshall Warren	Canucks	2033	186
Martin Misiak	Canucks	2037	85
Mason Beaupit	Canucks	2036	123
Matthew Wood	Canucks	2037	17
Michael Callow	Canucks	2036	173
Michael Fisher	Canucks	2036	92
Milos Roman	Canucks	2032	149
Nicholas Porco	Canucks	2033	179
Nick Campoli	Canucks	2031	197
Noah Beck	Canucks	2034	197
Owen Allard	Canucks	2038	154
Patrick Moynihan	Canucks	2033	181
Patrik Puistola	Canucks	2033	62
Ryan O'Connell	Canucks	2031	181
Ryder Ritchie	Canucks	2038	61
Sam Stange	Canucks	2034	87
Samuel Sjolund	Canucks	2033	140
Sasha Mutala	Canucks	2033	177
Simon Forsmark	Canucks	2036	112
Stepan Gorbunov	Canucks	2038	185
Tanner Henricks	Canucks	2038	123
Tomas Hamara	Canucks	2036	107
Ty Murchison	Canucks	2035	189
Ty Voit	Canucks	2035	183
Vinzenz Rohrer	Canucks	2036	59
Vladislav Lukashevich	Canucks	2035	150
Vyacheslav Buteyets	Canucks	2036	211
William Francis	Canucks	2033	204
William McIsaac	Canucks	2038	162
Wyatt Schingoethe	Canucks	2034	203

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2039
2040
2041
2042

Canucks 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	Brad Marchand	1203	615	758	1373	396	865	2217	2636	5189	11.85%	325	25390	21.11	181	273	454	1309	5	7	12	77	100	31	36.58%	26	1.08	25	50
2	Ryan Nugent-Hopkins	1273	461	826	1287	349	422	1141	2680	3910	11.79%	180	24135	18.96	136	298	434	1134	1	4	5	28	71	33	49.72%	9	1.07	16	54
3	Max Pacioretty	979	436	573	1009	269	1081	2277	1363	3867	11.27%	168	20271	20.71	128	233	361	1032	7	2	9	48	71	33	35.88%	13	1.00	17	42
4	Ryan O'Reilly	790	318	555	873	205	101	303	2302	2858	11.13%	212	16553	20.95	100	207	307	811	9	5	14	83	44	14	56.54%	9	1.05	14	45
5	Andrei Zyuzin	1846	331	515	846	-23	1274	2138	2146	3005	11.01%	897	27733	15.02	67	100	167	258	13	15	28	59	46	29	50.79%	3	0.61	15	33

Canucks 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	Cam Ward	340	174	122	29	0.909	2.85	19622	31	9	932	10254	2099	20	1	0.746	122
2	Pekka Rinne	151	115	26	10	0.908	2.55	9100	6	8	386	4178	0	7	0	0.730	63
3	Marc-Andre Fleury	197	114	65	13	0.896	3.06	11463	22	8	584	5615	0	14	5	0.803	61
4	Thatcher Demko	161	94	55	10	0.895	3.01	9503	16	5	477	4538	0	7	0	0.731	26
5	Antero Niittymaki	151	79	50	8	0.902	3.12	8145	14	0	424	4314	1789	8	3	0.842	38

Canucks 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	43	24	0	0	4	9	2	314	282	32	41	18	11	0	0	4	7	1	157	149	8	41	25	13	0	0	0	2	1	157	133	24	90	314	480	794	2	0	0	80	108	117	2752	0	870	968	897	2710	884	1324	1993	264	62	23.48%	264	53	79.92%	13	1069	2101	50.88%	1042	2088	49.90%	744	1490	49.93%	1684	944	1981	847	1479	719
2018	82	38	28	0	6	2	4	4	263	236	27	41	23	10	0	3	2	2	1	140	102	38	41	15	18	0	3	0	2	3	123	134	-11	90	263	425	688	0	3	0	55	100	98	2830	0	842	1020	947	2668	890	875	1924	204	30	14.71%	140	26	81.43%	1	1054	2092	50.38%	926	1925	48.10%	671	1363	49.23%	1677	951	1808	756	1491	729
2019	82	17	46	0	2	2	7	8	199	283	-84	41	9	20	0	0	2	5	5	104	143	-39	41	8	26	0	2	0	2	3	95	140	-45	40	199	313	512	1	0	0	40	78	72	2545	0	820	849	857	2806	939	922	1801	199	27	13.57%	206	44	78.64%	3	899	2037	44.13%	924	1992	46.39%	514	1220	42.13%	1699	980	1829	765	1475	703
2020	82	28	40	0	2	6	3	3	191	232	-41	41	16	20	0	1	2	1	1	103	118	-15	41	12	20	0	1	4	2	2	88	114	-26	66	191	288	479	1	1	0	50	69	67	2413	0	760	793	844	2630	859	1192	2015	216	22	10.19%	293	54	81.57%	5	875	1966	44.51%	1006	2162	46.53%	495	1154	42.89%	1633	888	1826	787	1499	714
2021	82	45	22	0	2	5	3	5	302	228	74	41	22	8	0	1	4	2	4	154	112	42	41	23	14	0	1	1	1	1	148	116	32	99	302	537	839	1	3	0	103	106	88	2878	0	935	964	959	2444	701	946	1903	483	105	21.74%	408	68	83.33%	5	1671	3404	49.09%	1476	3024	48.81%	601	1301	46.20%	2021	1393	1913	619	1034	516
2022	82	36	30	0	1	2	7	6	300	263	37	41	18	12	0	1	2	4	4	164	145	19	41	18	18	0	0	0	3	2	136	118	18	76	300	530	830	1	3	0	108	103	81	2923	0	968	992	925	2630	768	1060	1776	424	99	23.35%	431	80	81.44%	2	1688	3362	50.21%	1546	3161	48.91%	693	1380	50.22%	1955	1331	1986	631	1044	514
2023	82	36	27	0	7	3	6	3	295	242	53	41	17	14	0	5	0	4	1	144	119	25	41	19	13	0	2	3	2	2	151	123	28	89	295	519	814	1	4	0	100	110	72	2934	0	923	976	986	2373	737	992	1893	435	101	23.22%	409	76	81.42%	5	1727	3310	52.18%	1441	2868	50.24%	622	1265	49.17%	2033	1401	1914	619	1040	521
2024	82	49	18	0	5	2	4	4	349	245	104	41	24	9	0	2	2	2	2	172	120	52	41	25	9	0	3	0	2	2	177	125	52	122	349	618	967	0	3	0	138	107	95	2867	0	958	906	968	2480	665	988	1797	435	106	24.37%	416	91	78.13%	4	1696	3291	51.53%	1470	2942	49.97%	691	1389	49.75%	2046	1419	1888	615	1045	530
2025	82	51	21	0	2	2	5	1	334	223	111	41	30	10	0	0	0	1	0	173	100	73	41	21	11	0	2	2	4	1	161	123	38	119	334	586	920	2	6	0	119	103	105	2963	0	1005	963	979	2347	654	891	1810	464	100	21.55%	357	57	84.03%	0	1728	3313	52.16%	1432	2897	49.43%	669	1346	49.70%	2043	1419	1884	613	1032	523
2026	82	47	23	0	3	1	5	3	332	247	85	41	23	14	0	1	0	2	1	167	126	41	41	24	9	0	2	1	3	2	165	121	44	114	332	582	914	2	2	0	105	119	100	2995	0	965	996	1018	2335	688	924	1736	464	109	23.49%	389	81	79.18%	5	1748	3369	51.88%	1492	2867	52.04%	646	1355	47.68%	2070	1435	1861	607	1033	522
2027	82	51	21	0	2	3	3	2	342	235	107	41	27	9	0	1	1	2	1	180	109	71	41	24	12	0	1	2	1	1	162	126	36	117	342	608	950	1	6	0	146	93	98	3118	0	1074	993	1032	2278	631	785	1707	486	117	24.07%	343	58	83.09%	9	1785	3424	52.13%	1384	2745	50.42%	715	1354	52.81%	2091	1465	1823	605	1036	529
2030	82	55	18	0	2	0	2	5	301	210	91	41	33	4	0	1	0	1	2	165	97	68	41	22	14	0	1	0	1	3	136	113	23	123	301	530	831	1	8	0	108	92	97	3035	0	997	976	1038	2256	688	875	1676	470	104	22.13%	359	53	85.24%	3	1779	3410	52.17%	1356	2746	49.38%	680	1284	52.96%	2077	1438	1833	611	1048	538
2031	82	60	14	0	0	1	5	2	349	197	152	41	32	4	0	0	0	4	1	170	87	83	41	28	10	0	0	1	1	1	179	110	69	133	349	621	970	0	8	0	126	119	99	3050	0	1013	1028	992	2230	660	853	1740	433	96	22.17%	365	72	80.27%	2	1776	3298	53.85%	1484	2731	54.34%	689	1313	52.48%	2130	1505	1799	600	1026	531
2032	82	53	14	0	3	1	4	7	327	224	103	41	27	4	0	3	1	1	5	168	106	62	41	26	10	0	0	0	3	2	159	118	41	128	327	576	903	0	3	0	108	119	93	3028	0	964	1053	984	2306	626	989	1745	432	87	20.14%	395	63	84.05%	3	1850	3403	54.36%	1532	2882	53.16%	743	1322	56.20%	2095	1451	1836	614	1048	541
2033	82	47	23	0	6	2	4	0	337	228	109	41	22	12	0	4	1	2	0	164	124	40	41	25	11	0	2	1	2	0	173	104	69	116	337	605	942	2	4	0	121	106	100	2937	0	954	992	965	2184	623	814	1753	425	100	23.53%	339	61	82.01%	2	1802	3233	55.74%	1527	2730	55.93%	731	1334	54.80%	2185	1555	1745	585	1030	540
2034	82	48	17	0	1	3	8	5	312	221	91	41	24	5	0	1	2	7	2	167	108	59	41	24	12	0	0	1	1	3	145	113	32	122	312	527	839	1	4	0	112	102	89	2692	0	872	911	876	2248	611	855	1661	436	74	16.97%	361	71	80.33%	2	1701	3056	55.66%	1442	2757	52.30%	702	1323	53.06%	2181	1560	1783	593	1022	528
2035	82	39	27	0	4	5	5	2	299	250	49	41	21	11	0	3	3	2	1	154	114	40	41	18	16	0	1	2	3	1	145	136	9	103	299	521	820	0	3	0	89	96	105	2658	0	818	850	966	2352	720	919	1738	436	77	17.66%	366	69	81.15%	5	1672	3028	55.22%	1427	2822	50.57%	669	1304	51.30%	2103	1492	1850	587	1009	517
2036	82	46	29	0	2	3	2	0	336	243	93	41	25	13	0	0	3	0	0	178	111	67	41	21	16	0	2	0	2	0	158	132	26	103	336	582	918	0	2	0	125	101	106	2871	0	954	953	952	2375	684	831	1672	439	91	20.73%	348	67	80.75%	0	1610	3031	53.12%	1340	2819	47.53%	712	1375	51.78%	2097	1497	1826	581	1015	524
2037	82	53	17	0	6	2	2	2	399	228	171	41	31	4	0	4	1	1	0	213	100	113	41	22	13	0	2	1	1	2	186	128	58	126	399	707	1106	2	7	153	123	115	11	3179	1104	973	1077	39	2330	669	860	1783	457	121	26.48%	368	71	80.71%	2	1769	3258	54.30%	1534	2791	54.96%	747	1387	53.86%	2109	1494	1816	590	1024	528
2038	82	56	20	0	3	1	1	1	334	216	118	41	28	9	0	2	1	1	0	155	97	58	41	28	11	0	1	0	0	1	179	119	60	122	334	600	934	0	1	124	103	103	4	2767	869	952	936	16	2237	685	879	1654	414	82	19.81%	353	58	83.57%	4	1583	3063	51.68%	1365	2716	50.26%	711	1381	51.48%	2118	1497	1787	587	1030	532
Total Saison régulière	1640	898	479	0	59	50	89	65	6215	4733	1482	820	470	203	0	33	31	51	32	3192	2287	905	820	428	276	0	26	19	38	33	3023	2446	577	2098	6215	10755	16970	18	71	277	2059	2049	1697	57435	1973	18617	19196	17240	48219	14382	18774	35777	8016	1710	21.33%	6910	1273	81.58%	75	31482	60449	52.08%	27146	53665	50.58%	13445	26640	50.47%	40057	27123	36998	12818	22469	11310
Séries éliminatoires
2017	6	2	4	0	0	0	0	0	21	29	-8	3	2	1	0	0	0	0	0	10	10	0	3	0	3	0	0	0	0	0	11	19	-8	4	21	33	54	0	0	0	5	9	6	209	0	62	80	66	187	45	76	123	13	3	23.08%	12	0	100.00%	1	82	154	53.25%	76	148	51.35%	46	102	45.10%	123	73	2113	900	104	49
2018	7	3	4	0	0	0	0	0	19	22	-3	3	2	1	0	0	0	0	0	7	6	1	4	1	3	0	0	0	0	0	12	16	-4	6	19	31	50	1	0	0	8	7	4	277	0	83	93	98	255	71	40	145	9	2	22.22%	7	0	100.00%	0	110	201	54.73%	78	154	50.65%	52	122	42.62%	146	89	155	63	124	57
2021	16	10	6	0	0	0	0	0	53	51	2	8	5	3	0	0	0	0	0	27	28	-1	8	5	3	0	0	0	0	0	26	23	3	20	53	88	141	0	1	0	17	23	13	471	0	166	150	155	500	147	256	357	89	23	25.84%	87	18	79.31%	0	259	594	43.60%	293	629	46.58%	112	243	46.09%	359	240	405	120	195	95
2022	10	6	4	0	0	0	0	0	38	32	6	5	3	2	0	0	0	0	0	22	19	3	5	3	2	0	0	0	0	0	16	13	3	12	38	69	107	0	0	0	14	14	8	369	0	121	130	110	323	109	132	248	45	12	26.67%	53	8	84.91%	0	181	400	45.25%	175	399	43.86%	60	164	36.59%	228	153	256	78	126	60
2023	18	10	8	0	0	0	0	0	69	66	3	9	6	3	0	0	0	0	0	38	30	8	9	4	5	0	0	0	0	0	31	36	-5	20	69	124	193	0	2	0	27	20	17	641	0	221	195	196	547	170	301	425	99	25	25.25%	97	25	74.23%	0	375	747	50.20%	330	675	48.89%	159	319	49.84%	456	310	454	148	241	119
2024	11	6	5	0	0	0	0	0	39	32	7	6	4	2	0	0	0	0	0	26	17	9	5	2	3	0	0	0	0	0	13	15	-2	12	39	70	109	1	0	0	10	11	18	397	0	110	124	151	288	101	175	246	82	15	18.29%	53	10	81.13%	0	243	474	51.27%	185	376	49.20%	77	181	42.54%	275	189	259	86	137	69
2025	14	7	7	0	0	0	0	0	49	54	-5	7	4	3	0	0	0	0	0	25	24	1	7	3	4	0	0	0	0	0	24	30	-6	14	49	91	140	0	0	0	18	15	14	513	0	146	160	169	486	141	172	339	69	15	21.74%	66	22	66.67%	0	283	589	48.05%	279	565	49.38%	117	250	46.80%	358	249	352	109	187	92
2026	22	15	7	0	0	0	0	0	89	63	26	11	7	4	0	0	0	0	0	48	38	10	11	8	3	0	0	0	0	0	41	25	16	30	89	159	248	1	1	0	22	29	35	748	0	220	244	261	690	195	235	471	130	27	20.77%	110	24	78.18%	0	402	862	46.64%	384	837	45.88%	182	380	47.89%	543	374	534	169	286	144
2027	6	2	4	0	0	0	0	0	20	21	-1	3	0	3	0	0	0	0	0	8	13	-5	3	2	1	0	0	0	0	0	12	8	4	4	20	37	57	1	0	0	9	7	4	183	0	53	64	55	209	52	77	123	28	8	28.57%	34	5	85.29%	0	113	213	53.05%	130	257	50.58%	46	104	44.23%	138	93	159	50	78	37
2030	19	11	8	0	0	0	0	0	61	58	3	11	5	6	0	0	0	0	0	38	40	-2	8	6	2	0	0	0	0	0	23	18	5	22	61	110	171	0	0	0	32	16	11	680	0	228	214	220	628	164	260	419	98	19	19.39%	104	18	82.69%	2	373	736	50.68%	359	723	49.65%	141	309	45.63%	452	310	470	147	243	120
2031	8	4	4	0	0	0	0	0	27	26	1	4	2	2	0	0	0	0	0	16	12	4	4	2	2	0	0	0	0	0	11	14	-3	8	27	50	77	1	1	0	9	12	6	264	0	80	97	87	199	66	91	165	33	7	21.21%	40	10	75.00%	0	158	298	53.02%	140	249	56.22%	75	133	56.39%	199	138	180	56	99	51
2032	21	16	5	0	0	0	0	0	84	58	26	11	8	3	0	0	0	0	0	45	29	16	10	8	2	0	0	0	0	0	39	29	10	32	84	150	234	0	1	0	25	33	22	743	0	246	224	248	615	198	267	468	104	22	21.15%	110	16	85.45%	2	488	882	55.33%	415	760	54.61%	186	364	51.10%	529	367	508	159	263	130
2033	17	10	7	0	0	0	0	0	63	53	10	8	5	3	0	0	0	0	0	30	26	4	9	5	4	0	0	0	0	0	33	27	6	20	63	113	176	0	0	0	21	19	21	651	0	180	214	212	471	126	149	363	87	18	20.69%	65	14	78.46%	1	365	698	52.29%	319	606	52.64%	152	287	52.96%	461	330	397	129	223	113
2034	13	6	7	0	0	0	0	0	37	36	1	7	3	4	0	0	0	0	0	15	19	-4	6	3	3	0	0	0	0	0	22	17	5	12	37	66	103	1	1	0	12	13	11	471	0	135	150	146	427	112	174	260	59	6	10.17%	68	11	83.82%	1	285	549	51.91%	276	558	49.46%	104	199	52.26%	354	248	326	105	174	86
2035	23	12	11	0	0	0	0	0	79	76	3	12	9	3	0	0	0	0	0	45	30	15	11	3	8	0	0	0	0	0	34	46	-12	24	79	139	218	0	0	0	31	21	23	742	0	241	245	230	717	225	252	476	133	15	11.28%	103	18	82.52%	1	502	912	55.04%	407	837	48.63%	188	384	48.96%	608	432	528	168	282	145
2036	21	13	8	0	0	0	0	0	73	66	7	11	8	3	0	0	0	0	0	42	31	11	10	5	5	0	0	0	0	0	31	35	-4	26	73	129	202	0	0	0	24	25	22	731	0	234	254	236	648	215	189	428	118	22	18.64%	86	12	86.05%	2	458	842	54.39%	360	737	48.85%	172	339	50.74%	526	371	489	154	255	125
2037	22	14	8	0	0	0	0	0	91	65	26	12	8	4	0	0	0	0	0	50	33	17	10	6	4	0	0	0	0	0	41	32	9	28	91	160	251	0	2	31	36	23	1	846	242	266	285	53	699	190	285	507	113	22	19.47%	123	19	84.55%	4	490	934	52.46%	455	866	52.54%	194	384	50.52%	574	393	574	178	296	150
2038	11	5	6	0	0	0	0	0	34	31	3	6	4	2	0	0	0	0	0	19	13	6	5	1	4	0	0	0	0	0	15	18	-3	10	34	63	97	0	1	8	13	12	1	397	134	116	118	29	349	106	98	248	62	14	22.58%	45	8	82.22%	1	260	454	57.27%	230	420	54.76%	87	178	48.88%	308	220	265	85	143	72
Total Séries éliminatoires	265	152	113	0	0	0	0	0	946	839	107	137	85	52	0	0	0	0	0	511	418	93	128	67	61	0	0	0	0	0	435	421	14	304	946	1682	2628	6	10	39	333	309	237	9333	376	2908	3041	2722	8238	2433	3229	5811	1371	275	20.06%	1263	238	81.16%	15	5427	10539	51.49%	4891	9796	49.93%	2150	4442	48.40%	6645	4586	8434	2915	3464	1722

Canucks 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	Brad Marchand	207	99	140	239	42	178	395	513	945	10.48%	54	4630	22.37	32	53	85	258	2	1	3	13	13	8	37.57%	1	1.03
2	Ryan Nugent-Hopkins	242	67	123	190	8	79	215	500	671	9.99%	37	4558	18.84	21	41	62	172	0	1	1	3	11	7	45.69%	1	0.83
3	Ryan O'Reilly	159	70	110	180	28	22	65	482	638	10.97%	77	3540	22.27	15	45	60	175	0	4	4	15	15	5	54.85%	1	1.02
4	Max Pacioretty	145	63	71	134	20	130	335	190	554	11.37%	13	2946	20.32	20	30	50	142	0	0	0	3	9	6	34.62%	0	0.91
5	Jake Guentzel	129	62	67	129	37	80	231	234	502	12.35%	15	2688	20.84	16	20	36	115	4	0	4	7	11	5	36.75%	2	0.96

Canucks 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
1	Thatcher Demko	44	25	15	4	0.895	3.21	2621	2	0	140	1337	0	2	0
2	Pekka Rinne	29	20	8	0	0.900	2.75	1683	4	2	77	772	0	2	1
3	Cam Ward	36	19	13	1	0.906	3.03	2039	4	1	103	1095	121	0	1
4	Marc-Andre Fleury	33	18	10	3	0.903	3.03	1944	2	1	98	1013	0	3	2
5	Devan Dubnyk	29	16	8	5	0.880	3.34	1690	2	2	94	782	0	0	1