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	Julien Menard
	Entraîneur	Sheldon Keefe
	Division	Metropolitan
	Conférence	Eastern
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Jul's Center
	Capacité	24,000
	Assistance
	Billets de saison	9,600
Information formation
	Équipe Pro	21
	Équipe Mineure	24
	Limite contact	45 / 50
	Espoirs	13
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	17
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	194,106,167$
	Compte bancaire projeté	194,106,167$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	1012-498-125 (0.619%)
	Apparitions séries éliminatoires	20
	Historique séries éliminatoires (W-L)	130-117
	Stanley Cup	2

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	Mitchell Marner			X		100.00	54	43	87	99	51	90	98	97	40	99	77	87	71	78	84	55	20	82	0	28	6	11,900,000$
2	Alex Tuch			X		100.00	61	65	79	86	79	87	99	79	76	71	86	99	84	80	84	50	21	79	0	29	1	5,000,000$
3	Nico Hischier	X				100.00	54	49	85	91	63	89	94	83	91	77	88	88	40	74	82	65	20	78	0	26	1	7,500,000$
4	Boone Jenner	X				100.00	79	51	87	86	67	84	61	75	86	78	72	82	60	86	85	35	20	74	0	32	4	5,000,000$
5	Colton Sissons	X				100.00	73	49	84	78	63	79	92	57	90	56	58	84	40	86	83	35	25	67	0	32	1	1,550,000$
6	Teddy Blueger	X				100.00	70	47	80	81	54	79	99	58	85	58	58	78	99	84	82	40	20	67	0	31	5	2,000,000$
7	Conor Sheary			X		100.00	48	39	82	87	44	68	58	67	40	70	58	70	40	88	78	30	20	64	0	33	2	900,000$
8	Cale Makar				X	100.00	55	45	87	99	55	92	98	99	40	99	96	99	65	76	84	60	20	84	0	27	5	11,000,000$
9	Mackenzie Weegar				X	100.00	99	52	82	86	64	90	98	71	40	79	62	98	40	84	87	40	20	81	0	31	1	5,000,000$
10	Devon Toews				X	100.00	52	47	83	86	59	91	95	71	40	77	66	90	40	84	88	40	20	76	0	31	1	2,000,000$
11	Alexander Romanov				X	100.00	94	54	84	78	73	87	87	59	40	61	58	88	40	72	80	70	20	74	0	25	2	3,800,000$
Rayé
1	Aleksander Barkov	X				100.00	70	55	85	91	74	89	89	88	92	99	74	90	89	82	86	45	20	81	0	30	4	10,750,000$
2	Brandon Hagel		X			100.00	57	45	76	95	55	89	99	90	40	95	85	94	40	76	83	60	20	81	0	27	5	8,900,000$
3	Seth Jarvis	X				100.00	70	42	86	94	49	87	93	83	69	79	86	93	40	68	78	80	23	78	0	23	1	6,500,000$
4	Anthony Cirelli	X				100.00	47	47	83	88	59	86	98	75	85	73	78	98	40	78	82	55	20	76	0	28	3	5,900,000$
5	Parker Kelly	X				100.00	87	48	83	78	56	76	98	55	78	51	58	80	40	74	75	65	30	66	0	26	0	0$
6	Vasily Podkolzin			X		100.00	99	52	78	79	58	77	99	57	40	56	58	74	40	70	74	75	20	66	0	24	0	0$
7	Curtis Lazar	X				100.00	92	49	84	75	63	72	76	49	86	45	53	62	40	82	77	45	20	61	0	30	0	0$
8	Brayden McNabb				X	100.00	77	56	82	75	77	83	99	56	40	55	58	91	40	90	87	25	20	75	0	34	2	3,500,000$
Équipe Mineure
1	Wyatt Johnston	X				100.00	53	46	87	91	56	86	99	81	86	78	83	79	57	66	76	85	20	75	0	22	1	925,000$
2	Barclay Goodrow	X				100.00	86	71	71	75	70	77	96	49	78	43	55	79	40	86	82	35	20	64	0	32	5	2,000,000$
3	Anthony Richard	X				100.00	52	43	90	83	50	75	53	61	40	62	61	69	40	80	78	50	20	63	0	29	1	1,500,000$
4	Travis Boyd	X				100.00	55	46	84	81	56	72	62	59	40	60	59	51	40	86	79	35	20	60	0	32	4	2,000,000$
5	Sam Lafferty	X				100.00	75	52	81	75	68	71	84	50	86	44	55	58	40	82	77	45	20	60	0	30	6	2,000,000$
6	Wyatt Kaiser				X	100.00	62	42	85	78	48	80	82	52	40	46	59	87	40	68	74	80	20	67	0	23	2	925,000$
7	Corson Ceulemans				X	100.00	57	50	72	75	61	55	50	35	40	32	37	61	40	66	61	85	20	55	0	22	1	925,000$
8	Eemil Viro				X	100.00	42	40	77	75	58	66	61	29	40	25	32	50	40	68	67	80	20	52	0	23	1	925,000$
9	Noah Cates		X			100.00	66	49	86	82	62	81	96	64	80	62	67	82	40	74	78	65	20	69	0	26	0	0$
10	Matthew Peca	X				100.00	65	41	85	85	47	77	67	63	70	59	67	70	65	86	82	35	20	66	0	32	0	0$
11	Emil Heineman		X			100.00	99	50	84	78	64	74	85	57	40	51	63	65	99	70	72	75	20	64	0	24	1	925,000$
12	Boris Katchouk		X			100.00	73	52	76	76	67	76	66	55	40	54	56	69	40	76	76	60	20	62	0	27	0	0$
13	Jagger Firkus (R)		X			100.00	46	39	84	92	41	78	68	46	40	45	48	68	40	64	71	90	20	58	0	21	3	925,000$
14	Owen Beck (R)	X				100.00	85	48	90	75	61	71	51	48	89	47	50	64	40	64	68	90	20	58	0	21	3	925,000$
15	Filip Hallander		X			100.00	55	48	81	78	61	60	50	56	40	52	50	55	40	72	66	70	20	56	0	25	0	0$
16	Nathan Legare			X		100.00	58	50	60	75	65	78	68	40	40	30	50	65	90	70	74	75	20	55	0	24	0	0$
17	Brandon Gignac			X		100.00	56	52	75	75	57	60	50	41	40	42	41	56	40	78	69	55	20	52	0	28	0	0$
18	Elliot Desnoyers		X			100.00	47	43	81	75	52	68	58	38	40	39	37	57	40	68	68	80	20	51	0	23	1	925,000$
19	Patrick Guay		X			100.00	58	58	76	75	45	60	50	28	40	25	30	54	40	68	64	80	20	46	0	23	1	925,000$
20	Lane Hutson (R)				X	100.00	51	38	82	94	40	87	99	80	40	99	59	86	40	64	76	90	20	75	0	21	3	925,000$
21	Drew Helleson				X	100.00	81	58	73	76	74	77	81	56	40	53	59	76	40	70	74	75	20	68	0	24	0	0$
22	Jarred Tinordi				X	100.00	99	85	71	75	88	55	50	33	40	31	34	65	40	88	72	30	20	61	0	33	0	0$
23	Casey Fitzgerald				X	100.00	70	44	67	75	50	70	65	40	40	40	39	57	40	78	74	55	20	58	0	28	0	0$

	MOYENNE D’ÉQUIPE					100.00	67	50	81	82	60	77	79	60	56	59	60	75	49	76	77	59	20	67

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	Linus Ullmark	100.00	92	84	87	96	86	88	89	88	83	82	99	86	87	35	31	85	0	32	1	4,000,000$
Rayé
1	David Rittich	100.00	84	71	72	94	64	62	63	60	59	64	89	88	75	30	20	69	0	33	0	0$
Équipe Mineure
1	Yaroslav Askarov	100.00	80	50	60	86	79	76	75	74	73	79	99	68	72	80	20	72	0	23	1	925,000$

	MOYENNE D’ÉQUIPE	100.00	85	68	73	92	76	75	76	74	72	75	96	81	78	48	24	75

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Sheldon Keefe	90	95	80	82	80	75	80	CAN	45	1	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	2044	2045	Link
Aleksander Barkov	Hurricanes	C	30	1995-09-02	No	214 Lbs	6 ft3	No	No	Yes	4	Pro Only	10,750,000$	10,750,000$	10,750,000$	No	10,750,000$	10,750,000$	10,750,000$	UFA			Lien / Lien NHL
Alex Tuch	Hurricanes	RW	29	1996-05-10	No	219 Lbs	6 ft4	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	UFA						Lien / Lien NHL
Alexander Romanov	Hurricanes	D	25	2000-01-06	No	220 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,800,000$	3,800,000$	3,800,000$	No	3,800,000$	RFA					Lien / Lien NHL
Anthony Cirelli	Hurricanes	C	28	1997-07-15	No	191 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	5,900,000$	5,900,000$	5,900,000$	No	5,900,000$	5,900,000$	UFA				Lien / Lien NHL
Boone Jenner	Hurricanes	C	32	1993-06-15	No	203 Lbs	6 ft2	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
Brandon Hagel	Hurricanes	LW	27	1998-08-27	No	180 Lbs	6 ft2	No	No	Yes	5	Pro Only	8,900,000$	8,900,000$	8,900,000$	No	8,900,000$	8,900,000$	8,900,000$	8,900,000$	UFA		Lien / Lien NHL
Brayden McNabb	Hurricanes	D	34	1991-01-21	No	215 Lbs	6 ft4	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	UFA					Lien / Lien NHL
Cale Makar	Hurricanes	D	27	1998-10-30	No	187 Lbs	6 ft0	No	No	Yes	5	Pro Only	11,000,000$	11,000,000$	11,000,000$	No	11,000,000$	11,000,000$	11,000,000$	11,000,000$	UFA		Lien / Lien NHL
Colton Sissons	Hurricanes	C	32	1993-11-05	No	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,550,000$	1,550,000$	1,550,000$	No	UFA						Lien / Lien NHL
Conor Sheary	Hurricanes	RW	33	1992-06-08	No	182 Lbs	5 ft8	No	No	No	2	Pro & Farm	900,000$	900,000$	900,000$	No	900,000$	UFA					Lien / Lien NHL
Curtis Lazar	Hurricanes	C	30	1995-02-02	No	203 Lbs	6 ft0	No	No	No	0	Pro & Farm	UFA	0$	0$	No							Lien / Lien NHL
David Rittich	Hurricanes	G	33	1992-08-19	No	200 Lbs	6 ft3	No	No	No	0	Pro & Farm	UFA	0$	0$	No							Lien / Lien NHL
Devon Toews	Hurricanes	D	31	1994-02-21	No	191 Lbs	6 ft1	No	No	No	1	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	UFA						Lien / Lien NHL
Linus Ullmark	Hurricanes	G	32	1993-07-31	No	212 Lbs	6 ft4	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	4,000,000$	No	UFA						Lien / Lien NHL
Mackenzie Weegar	Hurricanes	D	31	1994-01-07	No	206 Lbs	6 ft0	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	UFA						Lien / Lien NHL
Mitchell Marner	Hurricanes	RW	28	1997-05-05	No	180 Lbs	6 ft0	No	No	Yes	6	Pro Only	11,900,000$	11,900,000$	11,900,000$	No	11,900,000$	11,900,000$	11,900,000$	11,900,000$	11,900,000$	UFA	Lien / Lien NHL
Nico Hischier	Hurricanes	C	26	1999-01-04	No	200 Lbs	6 ft1	No	No	Yes	1	Pro Only	7,500,000$	7,500,000$	7,500,000$	No	RFA						Lien / Lien NHL
Parker Kelly	Hurricanes	C	26	1999-05-14	No	185 Lbs	6 ft1	No	No	No	0	Pro & Farm	RFA	0$	0$	No							Lien / Lien NHL
Seth Jarvis	Hurricanes	C	23	2002-02-01	No	184 Lbs	5 ft10	No	No	No	1	Pro & Farm	6,500,000$	6,500,000$	6,500,000$	No	RFA						Lien / Lien NHL
Teddy Blueger	Hurricanes	C	31	1994-08-15	No	185 Lbs	6 ft0	Yes	No	No	5	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	2,000,000$	2,000,000$	2,000,000$	UFA		Lien / Lien NHL
Vasily Podkolzin	Hurricanes	RW	24	2001-06-24	No	190 Lbs	6 ft1	No	No	No	0	Pro & Farm	RFA	0$	0$	No							Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	29.14	197 Lbs	6 ft1	2.14	4,533,333$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
95,200,000$	63,650,000$	55,450,000$	49,550,000$	33,800,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1			Mitchell Marner	42	0	2	3
2		Nico Hischier		35	0	2	3
3			Boone Jenner	23	1	2	2
4		Teddy Blueger		0	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cale Makar	Devon Toews	42	0	2	3
2	Mackenzie Weegar		35	1	2	2
3			18	1	2	2
4	Cale Makar		5	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1			Mitchell Marner	55	0	0	5
2		Nico Hischier		45	0	0	5

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cale Makar		55	0	0	5
2	Mackenzie Weegar		45	0	0	5

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nico Hischier		55	1	3	1
2		Boone Jenner	45	1	3	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Cale Makar	55	1	3	1
2			45	1	3	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Boone Jenner	60	1	2	2	Devon Toews	Cale Makar	60	1	2	2
2		40	1	2	2			40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1			60	1	2	2
2	Boone Jenner		40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1			60	1	2	2
2		Cale Makar	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
		Mitchell Marner	Mackenzie Weegar	Cale Makar

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
		Mitchell Marner	Mackenzie Weegar	Cale Makar

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
, , Boone Jenner	Boone Jenner,

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
, Mackenzie Weegar,		Mackenzie Weegar,

Tirs de pénalité
, Mitchell Marner, Cale Makar, ,

Gardien
#1 : , #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

Brandon Hagel

AGE:27
SK:		95
EN:		89
DU:		99
PH:		90
PA:		95
SC:		85
DF:		94
Noah Cates

AGE:26
SK:		82
EN:		81
DU:		96
PH:		64
PA:		62
SC:		67
DF:		82
Emil Heineman

AGE:24
SK:		78
EN:		74
DU:		85
PH:		57
PA:		51
SC:		63
DF:		65
Boris Katchouk

AGE:27
SK:		76
EN:		76
DU:		66
PH:		55
PA:		54
SC:		56
DF:		69
Jagger Firkus (R)

AGE:21
SK:		92
EN:		78
DU:		68
PH:		46
PA:		45
SC:		48
DF:		68
Filip Hallander

AGE:25
SK:		78
EN:		60
DU:		50
PH:		56
PA:		52
SC:		50
DF:		55
Elliot Desnoyers

AGE:23
SK:		75
EN:		68
DU:		58
PH:		38
PA:		39
SC:		37
DF:		57
Patrick Guay

AGE:23
SK:		75
EN:		60
DU:		50
PH:		28
PA:		25
SC:		30
DF:		54

Aleksander Barkov

AGE:30
SK:		91
EN:		89
DU:		89
PH:		88
PA:		99
SC:		74
DF:		90
Seth Jarvis

AGE:23
SK:		94
EN:		87
DU:		93
PH:		83
PA:		79
SC:		86
DF:		93
Nico Hischier

AGE:26
SK:		91
EN:		89
DU:		94
PH:		83
PA:		77
SC:		88
DF:		88
Anthony Cirelli

AGE:28
SK:		88
EN:		86
DU:		98
PH:		75
PA:		73
SC:		78
DF:		98
Wyatt Johnston

AGE:22
SK:		91
EN:		86
DU:		99
PH:		81
PA:		78
SC:		83
DF:		79
Boone Jenner

AGE:32
SK:		86
EN:		84
DU:		61
PH:		75
PA:		78
SC:		72
DF:		82
Teddy Blueger

AGE:31
SK:		81
EN:		79
DU:		99
PH:		58
PA:		58
SC:		58
DF:		78
Colton Sissons

AGE:32
SK:		78
EN:		79
DU:		92
PH:		57
PA:		56
SC:		58
DF:		84
Parker Kelly

AGE:26
SK:		78
EN:		76
DU:		98
PH:		55
PA:		51
SC:		58
DF:		80
Matthew Peca

AGE:32
SK:		85
EN:		77
DU:		67
PH:		63
PA:		59
SC:		67
DF:		70
Barclay Goodrow

AGE:32
SK:		75
EN:		77
DU:		96
PH:		49
PA:		43
SC:		55
DF:		79
Anthony Richard

AGE:29
SK:		83
EN:		75
DU:		53
PH:		61
PA:		62
SC:		61
DF:		69
Curtis Lazar

AGE:30
SK:		75
EN:		72
DU:		76
PH:		49
PA:		45
SC:		53
DF:		62
Sam Lafferty

AGE:30
SK:		75
EN:		71
DU:		84
PH:		50
PA:		44
SC:		55
DF:		58
Travis Boyd

AGE:32
SK:		81
EN:		72
DU:		62
PH:		59
PA:		60
SC:		59
DF:		51
Owen Beck (R)

AGE:21
SK:		75
EN:		71
DU:		51
PH:		48
PA:		47
SC:		50
DF:		64

Mitchell Marner

AGE:28
SK:		99
EN:		90
DU:		98
PH:		97
PA:		99
SC:		77
DF:		87
Alex Tuch

AGE:29
SK:		86
EN:		87
DU:		99
PH:		79
PA:		71
SC:		86
DF:		99
Vasily Podkolzin

AGE:24
SK:		79
EN:		77
DU:		99
PH:		57
PA:		56
SC:		58
DF:		74
Conor Sheary

AGE:33
SK:		87
EN:		68
DU:		58
PH:		67
PA:		70
SC:		58
DF:		70
Nathan Legare

AGE:24
SK:		75
EN:		78
DU:		68
PH:		40
PA:		30
SC:		50
DF:		65
Brandon Gignac

AGE:28
SK:		75
EN:		60
DU:		50
PH:		41
PA:		42
SC:		41
DF:		56

Défense #1

Défense #2

Gardien

Cale Makar

AGE:27
SK:		99
EN:		92
DU:		98
PH:		99
PA:		99
SC:		96
DF:		99
Mackenzie Weegar

AGE:31
SK:		86
EN:		90
DU:		98
PH:		71
PA:		79
SC:		62
DF:		98
Devon Toews

AGE:31
SK:		86
EN:		91
DU:		95
PH:		71
PA:		77
SC:		66
DF:		90
Lane Hutson (R)

AGE:21
SK:		94
EN:		87
DU:		99
PH:		80
PA:		99
SC:		59
DF:		86
Brayden McNabb

AGE:34
SK:		75
EN:		83
DU:		99
PH:		56
PA:		55
SC:		58
DF:		91
Alexander Romanov

AGE:25
SK:		78
EN:		87
DU:		87
PH:		59
PA:		61
SC:		58
DF:		88

Drew Helleson

AGE:24
SK:		76
EN:		77
DU:		81
PH:		56
PA:		53
SC:		59
DF:		76
Wyatt Kaiser

AGE:23
SK:		78
EN:		80
DU:		82
PH:		52
PA:		46
SC:		59
DF:		87
Jarred Tinordi

AGE:33
SK:		75
EN:		55
DU:		50
PH:		33
PA:		31
SC:		34
DF:		65
Casey Fitzgerald

AGE:28
SK:		75
EN:		70
DU:		65
PH:		40
PA:		40
SC:		39
DF:		57
Corson Ceulemans

AGE:22
SK:		75
EN:		55
DU:		50
PH:		35
PA:		32
SC:		37
DF:		61
Eemil Viro

AGE:23
SK:		75
EN:		66
DU:		61
PH:		29
PA:		25
SC:		32
DF:		50

Linus Ullmark

AGE:32
SK:		92
AG:		86
RB:		88
SC:		89
HS:		88
RT:		83
DF:		82
Yaroslav Askarov

AGE:23
SK:		80
AG:		79
RB:		76
SC:		75
HS:		74
RT:		73
DF:		79
David Rittich

AGE:33
SK:		84
AG:		64
RB:		62
SC:		63
HS:		60
RT:		59
DF:		64

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
Alexander Nikishin	Hurricanes	2034	88
Axel Sandin Pellikka	Hurricanes	2037	16
Beckett Sennecke	Hurricanes	2038	9
Ilya Nabokov	Hurricanes	2038	28
James Hagens	Hurricanes	2039	5
Juraj Pekarcik	Hurricanes	2037	73
Kashawn Aitcheson	Hurricanes	2039	12
Logan Sawyer	Hurricanes	2038	38
Ryan Leonard	Hurricanes	2037	8
Tij Iginla	Hurricanes	2038	7
Tyler Thorpe	Hurricanes	2038	54
Zam Plante	Hurricanes	2036	165
Zeev Buium	Hurricanes	2038	6

Choix au repêchage

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

Hurricanes 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	Anton Babchuk	1611	325	535	860	43	1538	2229	2054	3106	10.46%	996	28301	17.57	54	80	134	301	6	3	9	65	35	26	48.81%	4	0.61	5	25
2	Patrick Kane	713	375	415	790	82	88	375	1288	2896	12.95%	162	15491	21.73	104	142	246	599	4	3	7	32	51	23	38.19%	12	1.02	13	56
3	Aleksander Barkov	565	242	429	671	200	247	642	1460	2078	11.65%	129	11341	20.07	59	168	227	527	2	4	6	21	32	21	54.48%	4	1.18	9	47
4	Mitchell Marner	482	253	407	660	221	162	385	1070	2076	12.19%	93	10439	21.66	75	147	222	589	0	5	5	17	37	6	32.88%	9	1.26	5	17
5	Mika Zibanejad	410	198	317	515	146	309	758	999	1755	11.28%	83	8955	21.84	55	133	188	469	3	4	7	18	33	11	53.39%	7	1.15	6	18

Hurricanes 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	Braden Holtby	290	175	82	23	0.899	2.90	16827	56	17	812	8075	155	9	3	0.715	123
2	Ryan Miller	144	78	50	13	0.908	2.77	8564	8	8	395	4272	998	7	1	0.759	58
3	Ilya Samsonov	90	62	18	7	0.895	3.01	5257	6	1	264	2519	0	5	0	0.733	30
4	Mathieu Garon	111	56	46	7	0.905	2.95	6633	4	5	326	3446	1393	7	3	0.750	36
5	David Rittich	74	54	14	4	0.903	2.53	4343	4	7	183	1882	0	5	0	0.600	15

Hurricanes 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	32	33	0	7	3	4	3	272	254	18	41	13	17	0	5	2	2	2	132	132	0	41	19	16	0	2	1	2	1	140	122	18	81	272	448	720	2	6	0	72	106	83	2607	0	784	898	891	2538	843	1048	1873	257	39	15.18%	192	29	84.90%	2	912	1931	47.23%	985	1949	50.54%	716	1394	51.36%	1812	1051	1856	811	1482	751
2018	82	33	30	0	4	5	4	6	231	230	1	41	19	16	0	0	2	1	3	115	110	5	41	14	14	0	4	3	3	3	116	120	-4	79	231	378	609	1	1	0	59	105	59	2527	0	807	917	779	2615	813	947	1829	215	45	20.93%	229	36	84.28%	2	1025	2016	50.84%	1004	1976	50.81%	659	1287	51.20%	1774	1009	1714	750	1500	754
2019	82	29	28	0	3	6	11	5	254	249	5	41	16	10	0	2	1	9	3	135	113	22	41	13	18	0	1	5	2	2	119	136	-17	70	254	382	636	1	1	0	64	78	98	2556	0	758	870	890	2524	851	1018	1937	243	40	16.46%	225	44	80.44%	6	1075	2075	51.81%	1036	2008	51.59%	607	1192	50.92%	1830	1056	1663	756	1521	762
2020	82	35	31	0	2	4	5	5	250	243	7	41	20	17	0	0	1	2	1	130	120	10	41	15	14	0	2	3	3	4	120	123	-3	78	250	396	646	2	0	0	60	81	102	2581	0	781	902	875	2459	830	992	1900	229	38	16.59%	235	25	89.36%	7	1040	2040	50.98%	1048	1983	52.85%	615	1213	50.70%	1816	1054	1670	748	1493	745
2021	82	39	33	0	1	2	4	3	274	244	30	41	18	16	0	1	1	3	2	133	117	16	41	21	17	0	0	1	1	1	141	127	14	82	274	477	751	0	3	0	106	96	67	2614	0	865	883	851	2329	676	940	1789	451	90	19.96%	392	65	83.42%	2	1652	3086	53.53%	1491	2885	51.68%	649	1303	49.81%	2050	1426	1890	603	1019	521
2022	82	43	25	0	1	4	3	6	283	233	50	41	19	15	0	0	1	2	4	130	115	15	41	24	10	0	1	3	1	2	153	118	35	92	283	506	789	2	6	0	102	85	92	2725	0	883	898	906	2283	674	1118	1827	436	113	25.92%	444	68	84.68%	4	1774	3306	53.66%	1541	2880	53.51%	689	1311	52.56%	2077	1440	1864	613	1032	521
2023	82	47	25	0	2	2	3	3	286	232	54	41	26	9	0	1	1	3	1	159	108	51	41	21	16	0	1	1	0	2	127	124	3	100	286	493	779	3	4	0	109	106	66	2819	0	912	941	947	2215	657	862	1699	460	81	17.61%	364	69	81.04%	6	1707	3252	52.49%	1415	2736	51.72%	660	1287	51.28%	2152	1528	1792	593	1014	519
2024	82	44	26	0	2	1	4	5	281	234	47	41	24	13	0	0	0	1	3	146	118	28	41	20	13	0	2	1	3	2	135	116	19	106	281	498	779	0	8	0	106	90	79	2579	0	871	864	829	2408	703	981	1717	448	84	18.75%	391	84	78.52%	5	1606	2993	53.66%	1403	2873	48.83%	687	1334	51.50%	2131	1514	1825	591	1017	521
2025	82	39	29	0	0	0	7	7	316	280	36	41	22	14	0	0	0	2	3	165	139	26	41	17	15	0	0	0	5	4	151	141	10	99	316	551	867	1	5	0	110	110	89	2787	0	935	903	917	2451	720	919	1664	467	104	22.27%	371	85	77.09%	1	1712	3185	53.75%	1481	2857	51.84%	730	1376	53.05%	2085	1453	1861	609	1043	533
2026	82	46	19	0	3	3	8	3	333	239	94	41	23	11	0	1	1	2	3	152	119	33	41	23	8	0	2	2	6	0	181	120	61	120	333	585	918	1	3	0	114	107	101	2870	0	928	977	936	2398	694	820	1674	446	108	24.22%	359	62	82.73%	1	1756	3289	53.39%	1488	2881	51.65%	719	1403	51.25%	2073	1455	1871	612	1042	529
2027	82	48	23	0	2	1	3	5	276	222	54	41	26	8	0	1	1	3	2	138	99	39	41	22	15	0	1	0	0	3	138	123	15	112	276	480	756	0	3	0	102	83	86	2622	0	888	875	840	2294	655	1009	1726	464	93	20.04%	438	79	81.96%	4	1639	3066	53.46%	1371	2805	48.88%	681	1285	53.00%	2109	1473	1843	600	1014	523
2030	82	43	22	0	2	2	8	5	276	240	36	41	23	10	0	2	0	3	3	138	117	21	41	20	12	0	0	2	5	2	138	123	15	113	276	476	752	2	6	0	95	78	93	2828	0	920	942	932	2162	642	916	1756	453	97	21.41%	385	77	80.00%	4	1691	3227	52.40%	1424	2737	52.03%	676	1275	53.02%	2150	1503	1795	613	1047	542
2031	82	37	32	0	2	3	4	4	282	241	41	41	15	18	0	0	2	3	3	139	120	19	41	22	14	0	2	1	1	1	143	121	22	93	282	495	777	5	6	0	103	87	86	2683	0	907	880	871	2408	674	858	1787	411	88	21.41%	388	74	80.93%	1	1700	3123	54.43%	1475	2850	51.75%	659	1305	50.50%	2079	1457	1863	600	1031	525
2032	82	47	26	0	1	0	5	3	314	225	89	41	24	11	0	1	0	3	2	169	104	65	41	23	15	0	0	0	2	1	145	121	24	109	314	550	864	0	6	0	127	93	88	2866	0	964	929	955	2254	670	877	1780	440	89	20.23%	383	62	83.81%	7	1791	3314	54.04%	1494	2858	52.27%	630	1280	49.22%	2095	1457	1833	605	1032	531
2033	82	50	21	0	1	2	3	5	314	237	77	41	31	8	0	0	0	2	0	168	101	67	41	19	13	0	1	2	1	5	146	136	10	115	314	548	862	1	3	0	109	104	97	2745	0	921	865	931	2349	659	893	1748	412	82	19.90%	398	68	82.91%	3	1720	3102	55.45%	1466	2860	51.26%	713	1325	53.81%	2075	1454	1861	607	1030	525
2034	82	54	21	0	2	1	2	2	347	233	114	41	29	9	0	0	0	1	2	178	113	65	41	25	12	0	2	1	1	0	169	120	49	119	347	630	977	1	2	0	133	122	88	3145	0	1065	1021	1044	2145	590	903	1719	457	94	20.57%	391	74	81.07%	6	1759	3350	52.51%	1392	2691	51.73%	717	1391	51.55%	2248	1614	1677	574	1019	543
2035	82	54	18	0	3	2	3	2	374	215	159	41	26	10	0	2	1	1	1	193	105	88	41	28	8	0	1	1	2	1	181	110	71	124	374	654	1028	0	5	0	133	117	118	3142	0	1046	1009	1064	2319	687	986	1827	442	97	21.95%	412	67	83.74%	6	1767	3408	51.85%	1353	2848	47.51%	658	1362	48.31%	2184	1549	1757	579	1016	534
2036	82	54	22	0	3	3	0	0	333	193	140	41	27	12	0	1	1	0	0	161	92	69	41	27	10	0	2	2	0	0	172	101	71	117	333	589	922	0	6	0	134	100	96	2861	0	945	927	979	2091	663	934	1773	448	102	22.77%	379	61	83.91%	4	1729	3180	54.37%	1346	2600	51.77%	686	1300	52.77%	2226	1602	1701	565	1012	536
2037	82	48	20	0	3	4	4	3	338	236	102	41	21	11	0	2	2	2	3	163	118	45	41	27	9	0	1	2	2	0	175	118	57	117	338	605	943	1	5	134	103	94	10	2811	932	902	950	53	2146	621	735	1532	451	90	19.96%	319	66	79.31%	2	1736	3113	55.77%	1422	2581	55.09%	752	1326	56.71%	2266	1639	1691	571	1011	541
2038	82	57	14	0	2	3	2	4	346	204	142	41	29	6	0	2	1	0	3	169	101	68	41	28	8	0	0	2	2	1	177	103	74	129	346	618	964	0	8	112	118	112	6	2699	841	892	935	53	2100	599	886	1753	440	115	26.14%	371	53	85.71%	2	1669	3125	53.41%	1455	2666	54.58%	741	1354	54.73%	2214	1574	1732	579	1017	537
Total Saison régulière	1640	879	498	0	46	51	87	79	5980	4684	1296	820	451	241	0	21	18	45	44	3013	2261	752	820	428	257	0	25	33	42	35	2967	2423	544	2055	5980	10359	16339	23	87	246	2059	1954	1604	55067	1773	17974	18386	16543	46488	13921	18642	35310	8070	1689	20.93%	7066	1248	82.34%	75	31460	59181	53.16%	27090	52524	51.58%	13644	26303	51.87%	41455	28318	35768	12589	22401	11503
Séries éliminatoires
2017	18	10	8	0	0	0	0	0	62	57	5	9	6	3	0	0	0	0	0	34	31	3	9	4	5	0	0	0	0	0	28	26	2	20	62	104	166	0	0	0	26	17	18	545	0	173	214	146	615	227	298	406	44	2	4.55%	50	11	78.00%	0	231	471	49.04%	222	477	46.54%	139	284	48.94%	398	232	2234	972	325	166
2018	5	1	4	0	0	0	0	0	12	21	-9	2	1	1	0	0	0	0	0	9	9	0	3	0	3	0	0	0	0	0	3	12	-9	2	12	19	31	0	0	0	6	2	4	150	0	49	53	44	163	56	75	105	8	1	12.50%	8	3	62.50%	1	65	121	53.72%	62	117	52.99%	42	87	48.28%	107	64	110	42	87	43
2019	22	13	9	0	0	0	0	0	64	55	9	10	5	5	0	0	0	0	0	28	29	-1	12	8	4	0	0	0	0	0	36	26	10	26	64	112	176	1	1	0	19	22	21	745	0	220	244	264	650	216	277	548	60	11	18.33%	62	11	82.26%	0	260	559	46.51%	275	550	50.00%	175	329	53.19%	505	302	451	201	389	193
2020	7	3	4	0	0	0	0	0	17	20	-3	3	2	1	0	0	0	0	0	8	7	1	4	1	3	0	0	0	0	0	9	13	-4	6	17	27	44	0	0	0	7	2	8	191	0	56	68	65	159	60	69	167	23	2	8.70%	19	3	84.21%	0	89	165	53.94%	66	136	48.53%	44	97	45.36%	144	79	145	70	135	64
2021	18	10	8	0	0	0	0	0	61	56	5	8	4	4	0	0	0	0	0	28	24	4	10	6	4	0	0	0	0	0	33	32	1	20	61	111	172	0	1	0	21	18	20	527	0	182	168	166	526	144	194	379	102	26	25.49%	83	13	84.34%	1	329	645	51.01%	324	637	50.86%	165	301	54.82%	468	331	412	133	226	114
2022	24	14	10	0	0	0	0	0	77	73	4	12	5	7	0	0	0	0	0	31	38	-7	12	9	3	0	0	0	0	0	46	35	11	28	77	143	220	0	0	0	24	26	26	702	0	228	200	240	777	208	321	503	114	22	19.30%	133	25	81.20%	0	443	855	51.81%	486	933	52.09%	185	379	48.81%	591	405	596	190	306	150
2023	13	6	7	0	0	0	0	0	41	39	2	7	4	3	0	0	0	0	0	25	19	6	6	2	4	0	0	0	0	0	16	20	-4	12	41	72	113	1	0	0	20	5	15	425	0	129	107	141	403	117	187	329	81	12	14.81%	66	10	84.85%	1	259	522	49.62%	275	520	52.88%	99	209	47.37%	376	265	313	109	183	93
2024	13	6	7	0	0	0	0	0	39	39	0	7	3	4	0	0	0	0	0	19	21	-2	6	3	3	0	0	0	0	0	20	18	2	12	39	72	111	0	1	0	13	14	10	392	0	123	137	122	387	107	150	268	52	9	17.31%	63	8	87.30%	0	234	469	49.89%	232	475	48.84%	85	193	44.04%	333	235	308	99	166	81
2025	7	3	4	0	0	0	0	0	25	26	-1	3	2	1	0	0	0	0	0	15	14	1	4	1	3	0	0	0	0	0	10	12	-2	6	25	44	69	0	0	0	7	7	9	296	0	69	109	83	235	74	86	167	48	7	14.58%	35	10	71.43%	0	167	333	50.15%	115	271	42.44%	77	135	57.04%	195	137	181	57	99	51
2026	7	3	4	0	0	0	0	0	24	25	-1	4	0	4	0	0	0	0	0	13	19	-6	3	3	0	0	0	0	0	0	11	6	5	6	24	44	68	0	0	0	12	7	4	227	0	79	74	59	250	92	66	136	41	9	21.95%	32	6	81.25%	0	137	274	50.00%	133	288	46.18%	48	111	43.24%	176	120	173	56	93	46
2027	11	5	6	0	0	0	0	0	26	36	-10	6	2	4	0	0	0	0	0	14	22	-8	5	3	2	0	0	0	0	0	12	14	-2	10	26	43	69	0	0	0	9	6	9	309	0	100	91	114	316	85	156	249	55	11	20.00%	64	14	78.13%	0	191	379	50.40%	180	382	47.12%	97	171	56.73%	266	182	259	79	136	68
2030	11	4	7	0	0	0	0	0	36	39	-3	6	3	3	0	0	0	0	0	21	21	0	5	1	4	0	0	0	0	0	15	18	-3	8	36	67	103	0	0	0	10	15	10	367	0	109	121	133	355	129	179	216	49	7	14.29%	63	18	71.43%	3	224	426	52.58%	186	414	44.93%	99	184	53.80%	281	200	248	77	132	67
2031	5	1	4	0	0	0	0	0	12	13	-1	2	0	2	0	0	0	0	0	3	7	-4	3	1	2	0	0	0	0	0	9	6	3	2	12	20	32	0	1	0	4	5	3	150	0	56	53	41	121	39	52	107	24	4	16.67%	23	4	82.61%	0	75	168	44.64%	72	149	48.32%	37	67	55.22%	118	82	119	36	62	30
2032	6	2	4	0	0	0	0	0	20	21	-1	3	2	1	0	0	0	0	0	13	9	4	3	0	3	0	0	0	0	0	7	12	-5	4	20	38	58	0	0	0	4	10	6	188	0	42	63	68	171	56	49	155	39	9	23.08%	22	6	72.73%	0	113	223	50.67%	111	204	54.41%	65	107	60.75%	148	101	152	47	80	40
2033	5	1	4	0	0	0	0	0	12	18	-6	3	1	2	0	0	0	0	0	10	10	0	2	0	2	0	0	0	0	0	2	8	-6	2	12	21	33	0	0	0	5	4	3	151	0	56	51	44	163	47	50	91	22	1	4.55%	21	3	85.71%	0	111	197	56.35%	103	185	55.68%	46	81	56.79%	120	83	118	35	60	30
2034	19	13	6	0	0	0	0	0	79	58	21	10	8	2	0	0	0	0	0	47	29	18	9	5	4	0	0	0	0	0	32	29	3	26	79	145	224	0	2	0	30	29	18	633	0	203	206	181	573	184	261	403	83	16	19.28%	114	17	85.09%	0	365	705	51.77%	329	701	46.93%	154	316	48.73%	501	349	450	142	246	124
2035	21	16	5	0	0	0	0	0	99	66	33	11	9	2	0	0	0	0	0	60	42	18	10	7	3	0	0	0	0	0	39	24	15	32	99	176	275	1	1	0	34	34	28	805	0	260	271	258	579	155	214	487	109	31	28.44%	89	17	80.90%	1	450	872	51.61%	344	727	47.32%	175	374	46.79%	566	411	463	148	256	131
2036	7	3	4	0	0	0	0	0	18	23	-5	4	2	2	0	0	0	0	0	12	16	-4	3	1	2	0	0	0	0	0	6	7	-1	6	18	30	48	0	0	0	9	4	4	207	0	76	66	62	195	62	75	147	30	6	20.00%	33	7	78.79%	0	127	247	51.42%	111	210	52.86%	62	117	52.99%	178	123	162	50	89	46
2037	24	16	8	0	0	0	0	0	86	67	19	13	12	1	0	0	0	0	0	54	26	28	11	4	7	0	0	0	0	0	32	41	-9	32	86	157	243	0	2	27	30	24	5	748	226	242	250	30	725	222	208	450	136	27	19.85%	94	14	85.11%	1	469	884	53.05%	409	829	49.34%	185	389	47.56%	646	458	558	180	309	160
2038	4	0	4	0	0	0	0	0	7	13	-6	2	0	2	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	3	7	-4	0	7	12	19	0	0	1	3	3	0	119	37	36	36	10	109	36	79	92	21	2	9.52%	21	5	76.19%	0	70	151	46.36%	67	132	50.76%	21	57	36.84%	110	78	92	30	50	25
Total Séries éliminatoires	247	130	117	0	0	0	0	0	817	765	52	125	71	54	0	0	0	0	0	448	399	49	122	59	63	0	0	0	0	0	369	366	3	260	817	1457	2274	3	9	28	293	254	221	7877	263	2488	2582	2271	7472	2316	3046	5405	1141	215	18.84%	1095	205	81.28%	8	4409	8666	50.88%	4102	8337	49.20%	2000	3988	50.15%	6237	4248	7556	2765	3439	1731

Hurricanes 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	Christian Ehrhoff	324	62	104	166	69	298	406	439	545	11.38%	227	5410	16.70	2	4	6	20	0	0	0	6	10	3	48.05%	1	0.61
2	Patrick Kane	116	47	74	121	15	12	62	237	438	10.73%	26	2646	22.81	7	21	28	96	0	0	0	8	7	1	42.03%	1	0.91
3	Mika Zibanejad	75	35	69	104	29	38	134	197	349	10.03%	12	1650	22.01	5	23	28	68	0	1	1	3	6	2	56.05%	1	1.26
4	Mitchell Marner	80	48	55	103	13	28	55	164	335	14.33%	16	1756	21.95	17	15	32	113	1	0	1	3	10	1	26.92%	2	1.17
5	Anze Kopitar	68	31	40	71	-1	70	119	218	228	13.60%	24	1662	24.45	16	10	26	76	0	1	1	6	2	3	55.36%	3	0.85

Hurricanes 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	Braden Holtby	41	18	15	7	0.898	3.01	2593	6	1	130	1271	9	2	1
2	Ilya Samsonov	27	17	8	1	0.912	2.50	1559	4	2	65	741	0	2	0
3	Alex Nedeljkovic	21	16	5	0	0.886	3.07	1249	4	1	64	560	0	0	1
4	Kari Lehtonen	22	13	6	3	0.917	2.41	1343	6	1	54	649	244	2	1
5	Jake Allen	19	12	3	2	0.894	3.06	1097	6	2	56	529	0	3	0