Canadian Hockey League

National
Accueil
Formation
Pointeurs
Contrats
Trios
Stats Équipe
Calendrier
Charte
Carrière

Centre de jeu
	Hurricanes 23-5-0, 46pts	4	FINAL	3	Devils 13-14-2, 28pts

Team Stats
W3	Streak	W1
11-3-0	Home Record	8-6-1
12-2-0	Away Record	5-8-1
8-2-0	Last 10 Games	5-4-1
4.21	Goals Per Game	3.31
2.54	Goals Against Per Game	3.31
19.75%	Power Play Percentage	17.86%
84.62%	Penalty Kill Percentage	82.05%

Hurricanes
23-5-0, 46pts

FINAL

Rangers
15-11-3, 33pts

Team Stats
W3	Streak	L2
11-3-0	Home Record	7-6-0
12-2-0	Away Record	8-5-3
8-2-0	Last 10 Games	5-3-2
4.21	Goals Per Game	2.97
2.54	Goals Against Per Game	2.83
19.75%	Power Play Percentage	20.44%
84.62%	Penalty Kill Percentage	84.21%

Hurricanes
23-5-0, 46pts

Jour 59

Sabres
22-6-1, 45pts

Stats Équipe
W3	Séquence	W1
11-3-0	Fiche domicile	11-4-0
12-2-0	Fiche visiteur	11-2-1
8-2-0	10 derniers matchs	9-1-0
4.21	Buts par match	3.66
2.54	Buts contre par match	2.52
19.75%	Pourcentage en avantage numérique	19.63%
84.62%	Pourcentage en désavantage numérique	89.42%

Hurricanes
23-5-0, 46pts

Jour 61

Penguins
12-15-1, 25pts

Stats Équipe
W3	Séquence	OTW1
11-3-0	Fiche domicile	8-6-0
12-2-0	Fiche visiteur	4-9-1
8-2-0	10 derniers matchs	4-5-1
4.21	Buts par match	3.11
2.54	Buts contre par match	3.21
19.75%	Pourcentage en avantage numérique	20.00%
84.62%	Pourcentage en désavantage numérique	79.73%

Flames
8-17-3, 19pts

Jour 63

Hurricanes
23-5-0, 46pts

Stats Équipe
W1	Séquence	W3
5-7-2	Fiche domicile	11-3-0
3-10-1	Fiche visiteur	12-2-0
1-8-1	10 derniers matchs	8-2-0
3.07	Buts par match	4.21
4.07	Buts contre par match	2.54
18.40%	Pourcentage en avantage numérique	19.75%
74.85%	Pourcentage en désavantage numérique	84.62%

Meneurs d'équipe
	Buts Aleksander Barkov 16	Passes Cale Makar 30

	Points Cale Makar 37	Plus/Moins Devon Toews 22

	Victoires Samuel Montembeault 23	Pourcentage d’arrêts Jet Greaves 0.907

Stats Équipe
Buts pour 118 4.21 GFG	Tirs pour 990 35.36 Avg	Pourcentage en avantage numérique 19.8% 32 GF	Début de zone offensive 47.3%
Buts contre 71 2.54 GAA	Tirs contre 655 23.39 Avg	Pourcentage en désavantage numérique 84.6% 16 GA	Début de la zone défensive 34.5%

Blessure/Suspension
	Noah Cates est dehors pour 2 semaines à cause de Head Injury.
	Nick Blankenburg est dehors pour 6 jours à cause de Chest/Ribs Injury.

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	22,082
	Billets de saison	9,600
Information formation
	Équipe Pro	22
	Équipe Mineure	24
	Limite contact	46 / 50
	Espoirs	15
Plafond salarial
	Cap Salarial de la Saison estimé	83,856,862$
	Plafond salarial disponible	6,143,138$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	20
Finance
	Revenu annuel à ce jour	24,264,520$
	Dépenses annuelles à ce jour	28,368,110$
	Revenus de la saison estimés	46,795,860$
	Dépenses de la saison estimées	57,488,760$
	Compte bancaire actuel	188,194,685$
	Compte bancaire projeté	173,977,327$
Historique d'équipe
	Saison actuelle	23-5-0 (46PTS)
	Historique	1035-503-126 (0.622%)
	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	Aleksander Barkov	X				100.00	70	55	85	91	74	89	89	88	92	99	74	90	89	82	86	45	58	82	0	30	4	10,750,000$
2	Mitchell Marner			X		100.00	54	43	87	99	51	90	98	97	40	99	77	87	71	78	84	55	57	82	0	28	6	1$
3	Alex Tuch			X		100.00	61	65	79	86	79	87	99	79	76	71	86	99	84	80	84	50	65	79	0	29	1	5,000,000$
4	Nico Hischier	X				99.00	54	49	85	91	63	89	94	83	91	77	88	88	40	74	82	65	57	78	0	26	1	7,500,000$
5	Seth Jarvis		X			100.00	70	42	86	94	49	87	93	83	69	79	86	93	40	68	78	80	57	78	0	23	1	6,500,000$
6	Anthony Cirelli		X			100.00	47	47	83	88	59	86	98	75	85	73	78	98	40	78	82	55	57	76	0	28	3	5,900,000$
7	Wyatt Johnston		X			100.00	53	46	87	91	56	86	99	81	86	78	83	79	57	66	76	85	57	76	0	22	1	925,000$
8	Shane Pinto	X				100.00	64	52	83	82	69	84	91	67	85	59	75	91	40	72	78	70	57	72	0	25	6	7,500,000$
9	Adam Fantilli		X			100.00	72	50	86	85	65	84	99	72	76	63	81	73	69	64	74	90	59	72	0	21	2	925,000$
10	Colton Sissons	X				100.00	73	49	84	78	63	79	92	57	90	56	58	84	40	86	83	35	57	68	0	32	1	1,550,000$
11	Teddy Blueger	X				100.00	70	47	80	81	54	79	99	58	85	58	58	78	99	84	82	40	46	68	0	31	5	2,000,000$
12	Barclay Goodrow			X		100.00	86	71	71	75	70	77	96	49	78	43	55	79	40	86	82	35	57	65	0	32	5	2,000,000$
13	Cale Makar				X	100.00	55	45	87	99	55	92	98	99	40	99	96	99	65	76	84	60	57	84	0	27	5	11,000,000$
14	Devon Toews				X	100.00	52	47	83	86	59	91	95	71	40	77	66	90	40	84	88	40	57	76	0	31	1	2,000,000$
15	Travis Sanheim				X	100.00	64	58	80	77	80	91	99	62	40	62	62	95	40	80	86	50	48	76	0	29	2	4,500,000$
16	Alexander Romanov				X	100.00	94	54	84	78	73	87	87	59	40	61	58	88	40	72	80	70	57	75	0	25	2	3,800,000$
17	Brayden McNabb				X	100.00	77	56	82	75	77	83	99	56	40	55	58	91	40	90	87	25	58	75	0	34	2	3,500,000$
18	Lane Hutson (R)				X	100.00	51	38	82	94	40	87	99	80	40	99	59	86	40	64	76	90	57	75	0	21	3	925,000$
Rayé
1	Noah Cates			X		82.21	66	49	86	82	62	81	96	64	80	62	67	82	40	74	78	65	29	70	0	26	1	2,350,000$
2	Nick Blankenburg				X	89.73	61	40	82	82	44	82	84	57	40	56	58	84	40	76	79	60	33	69	0	27	3	1,500,000$
Équipe Mineure
1	Vasily Podkolzin			X		100.00	99	52	78	79	58	77	99	57	40	56	58	74	40	70	74	75	42	66	0	24	1	1,500,000$
2	Adam Klapka			X		100.00	99	72	71	75	95	71	64	58	40	51	66	68	40	72	72	70	41	65	0	25	1	975,000$
3	Anthony Richard		X			100.00	52	43	90	83	50	75	53	61	40	62	61	69	40	80	78	50	42	63	0	29	1	1,500,000$
4	Boris Katchouk		X			100.00	73	52	76	76	67	76	66	55	40	54	56	69	40	76	76	60	43	62	0	27	1	1,500,000$
5	Fraser Minten (R)	X				100.00	94	49	88	77	63	77	57	55	81	48	62	58	40	64	71	90	42	61	0	21	3	925,000$
6	Nicolas Deslauriers		X			100.00	99	73	80	75	72	67	64	49	40	43	55	62	40	90	79	25	31	60	0	34	3	1,000,000$
7	Sam Lafferty	X				100.00	75	52	81	75	68	71	84	50	86	44	55	58	40	82	77	45	42	60	0	30	6	2,000,000$
8	Mike Hoffman		X			100.00	50	46	84	81	56	60	50	59	40	56	52	61	61	94	77	15	24	59	0	36	2	1,250,000$
9	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	1	950,000$
10	Nathan Legare			X		100.00	58	50	60	75	65	78	68	40	40	30	50	65	90	70	74	75	23	55	0	24	1	1,100,000$
11	Alex Galchenyuk			X		100.00	61	48	83	75	60	60	50	45	40	40	50	44	62	84	72	40	26	53	0	31	2	1,800,000$
12	Adam Engstrom (R)				X	100.00	69	53	78	84	64	70	65	43	40	47	39	70	73	66	68	85	42	63	0	22	3	925,000$
13	Jarred Tinordi				X	100.00	99	85	71	75	88	55	50	33	40	31	34	65	40	88	72	30	48	62	0	33	1	1,000,000$
14	Matthew Kessel				X	100.00	58	52	83	75	68	72	63	49	40	48	50	65	40	72	72	70	42	62	0	25	3	2,000,000$
15	Spencer Stastney				X	100.00	48	44	87	77	53	77	59	50	40	51	50	70	40	72	75	70	42	62	0	25	3	2,000,000$
16	Corson Ceulemans				X	100.00	57	50	72	75	61	55	50	35	40	32	37	61	40	66	61	85	42	55	0	22	1	925,000$
17	Eemil Viro				X	100.00	42	40	77	75	58	66	61	29	40	25	32	50	40	68	67	80	25	52	0	23	1	925,000$
18	Travis Boyd			X		100.00	55	46	84	81	56	72	62	59	40	60	59	51	40	86	79	35	19	60	0	32	4	2,000,000$
19	Aku Raty			X		100.00	53	47	77	75	58	74	64	41	40	44	38	50	99	70	72	75	20	53	0	24	3	950,000$
20	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$
21	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$

	MOYENNE D’ÉQUIPE					99.27	66	51	81	81	62	77	78	59	55	58	60	74	51	76	77	60	43	66

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	Samuel Montembeault	100.00	88	99	99	95	81	82	83	83	82	81	85	80	81	50	59	84	0	29	8	5,000,000$
2	Jet Greaves	100.00	92	50	60	84	87	84	87	89	82	81	60	70	77	75	43	79	0	24	2	2,000,000$
Rayé
Équipe Mineure
1	Yaroslav Askarov	100.00	80	50	60	86	79	76	75	74	73	79	99	68	72	80	56	73	0	23	1	925,000$
2	Cayden Primeau	100.00	86	50	60	93	50	50	50	50	50	50	90	74	62	65	49	58	0	26	3	2,000,000$
3	Zachary Fucale	100.00	75	50	60	87	50	50	50	50	50	50	30	82	66	45	19	58	0	30	1	2,000,000$

	MOYENNE D’ÉQUIPE	100.00	84	60	68	89	69	68	69	69	67	68	73	75	72	63	45	70

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	HT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Cale Makar	Hurricanes	D	28	7	30	37	21	32	0	43	43	88	33	67	7.95%	36	707	25.27	4	8	12	59	136	1	0	1	2	78	1	0	0.00%	0	0	1.05	0	0	0	0	3	3	1
2	Nico Hischier	Hurricanes	C	28	10	26	36	12	8	0	25	76	116	36	97	8.62%	4	590	21.08	3	5	8	35	123	0	2	2	2	96	5	0	54.27%	831	0	1.22	0	0	0	0	4	3	3
3	Aleksander Barkov	Hurricanes	C	28	16	17	33	16	33	5	65	83	81	25	70	19.75%	4	612	21.86	2	7	9	15	132	0	0	0	0	11	3	2	55.46%	842	1	1.08	1	1	0	1	4	4	0
4	Seth Jarvis	Hurricanes	LW	28	11	20	31	19	16	0	58	55	100	28	79	11.00%	6	570	20.36	1	11	12	23	127	0	0	0	0	5	3	1	45.65%	46	0	1.09	0	0	0	0	1	2	3
5	Alex Tuch	Hurricanes	RW	28	14	15	29	9	36	20	44	38	85	31	85	16.47%	4	581	20.78	3	5	8	26	126	1	0	1	1	93	2	1	54.55%	44	0	1.00	0	1	2	2	2	3	1
6	Mitchell Marner	Hurricanes	RW	28	10	19	29	14	4	0	10	38	118	42	75	8.47%	3	597	21.34	3	4	7	36	132	0	0	0	0	2	3	1	26.67%	30	0	0.97	0	1	0	0	1	2	4
7	Lane Hutson	Hurricanes	D	28	5	24	29	-1	6	0	21	33	29	9	16	17.24%	21	567	20.25	2	9	11	23	116	0	0	0	0	9	1	0	0.00%	0	0	1.02	0	0	0	0	0	3	3
8	Anthony Cirelli	Hurricanes	LW	28	10	12	22	3	2	0	18	39	87	23	58	11.49%	6	432	15.45	5	4	9	21	89	0	0	0	2	65	0	1	59.65%	57	0	1.02	0	0	0	0	0	1	1
9	Shane Pinto	Hurricanes	C	28	10	12	22	3	4	0	24	49	59	23	37	16.95%	5	378	13.53	3	4	7	15	62	0	0	0	3	55	1	0	56.85%	343	0	1.16	0	0	0	0	1	2	2
10	Wyatt Johnston	Hurricanes	LW	28	11	9	20	4	0	0	18	34	74	10	38	14.86%	3	481	17.20	4	4	8	16	120	0	0	0	0	1	2	1	48.84%	43	0	0.83	0	0	0	0	1	0	2
11	Devon Toews	Hurricanes	D	28	0	11	11	22	26	0	38	19	13	8	17	0.00%	33	571	20.42	0	0	0	0	5	0	0	0	1	78	0	0	0.00%	0	0	0.38	0	0	0	0	0	0	1
12	Travis Sanheim	Hurricanes	D	27	4	5	9	8	30	0	52	20	16	7	15	25.00%	34	559	20.73	1	1	2	5	38	0	0	0	1	84	1	0	0.00%	0	0	0.32	0	0	0	0	0	0	0
13	Alexander Romanov	Hurricanes	D	28	2	5	7	9	34	0	46	15	19	5	11	10.53%	13	375	13.40	0	0	0	1	7	0	0	0	0	38	1	0	0.00%	0	0	0.37	0	0	0	0	0	0	1
14	Adam Fantilli	Hurricanes	LW	23	4	1	5	-5	6	0	15	17	31	6	22	12.90%	3	223	9.71	0	1	1	5	21	0	0	0	0	1	0	0	35.29%	17	0	0.45	0	0	0	0	0	0	1
15	Brayden McNabb	Hurricanes	D	28	1	3	4	6	11	5	24	17	9	7	8	11.11%	24	402	14.39	0	0	0	1	1	0	0	0	0	79	0	0	0.00%	0	0	0.20	0	0	0	1	0	0	1
16	Colton Sissons	Hurricanes	C	28	0	2	2	2	10	0	7	15	9	9	14	0.00%	1	144	5.15	0	0	0	0	0	0	0	0	0	0	0	0	47.06%	136	0	0.28	0	0	0	0	0	0	0
17	Barclay Goodrow	Hurricanes	RW	7	2	0	2	3	0	0	8	1	4	0	4	50.00%	0	39	5.63	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1.02	0	0	0	0	1	0	0
18	Noah Cates	Hurricanes	RW	21	1	1	2	1	19	5	9	12	14	3	7	7.14%	2	146	6.97	0	0	0	0	1	0	0	0	0	0	0	0	71.43%	7	0	0.27	0	0	0	1	0	0	0
19	Teddy Blueger	Hurricanes	C	4	0	1	1	3	0	0	0	3	1	1	1	0.00%	0	22	5.55	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0.90	0	0	0	0	0	0	0
20	Nick Blankenburg	Hurricanes	D	10	0	0	0	-2	0	0	0	3	6	1	2	0.00%	0	47	4.79	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0.00	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				484	118	213	331	147	277	35	525	610	959	307	723	12.30%	202	8052	16.64	31	63	94	281	1244	2	2	4	12	701	23	7	54.11%	2399	1	0.82	1	3	2	5	18	23	24

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	GA	SA	PS %	PSA	ST	BG	S1	S3
1	Samuel Montembeault	Hurricanes	27	23	4	0	0.894	2.49	1590	2	66	620	1.000	3	27	1	1	0
2	Jet Greaves	Hurricanes	9	4	2	1	0.907	2.76	478	0	22	236	0.000	0	7	17	0	1
Statistiques d’équipe totales ou en moyenne			36	27	6	1	0.897	2.55	2069	2	88	856	1.000	3	34	18	1	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	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	2046	Link
Adam Fantilli	Hurricanes	LW	21	2004-10-12	No	199 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	925,000$	623,596$	No	925,000$	RFA						Lien / Lien NHL
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$	7,247,191$	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$	3,370,787$	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$	2,561,798$	No	3,800,000$	RFA						Lien / Lien NHL
Anthony Cirelli	Hurricanes	LW	28	1997-07-15	No	191 Lbs	6 ft1	No	No	Yes	3	Pro Only	5,900,000$	5,900,000$	3,977,528$	No	5,900,000$	5,900,000$	UFA					Lien / Lien NHL
Barclay Goodrow	Hurricanes	RW	32	1993-02-26	No	209 Lbs	6 ft2	Yes	No	No	5	Pro & Farm	2,000,000$	2,000,000$	1,348,315$	No	2,000,000$	2,000,000$	2,000,000$	2,000,000$	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$	2,359,551$	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$	7,415,730$	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$	1,044,944$	No	UFA							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$	1,348,315$	No	UFA							Lien / Lien NHL
Jet Greaves	Hurricanes	G	24	2001-03-30	No	170 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	1,348,315$	No	2,000,000$	RFA						Lien / Lien NHL
Lane Hutson	Hurricanes	D	21	2004-02-14	Yes	162 Lbs	5 ft9	No	No	No	3	Pro & Farm	925,000$	925,000$	623,596$	No	925,000$	925,000$	RFA					Lien / Lien NHL
Mitchell Marner	Hurricanes	RW	28	1997-05-05	No	180 Lbs	6 ft0	Yes	No	Yes	6	Pro Only	1$	1$	1$	No	11,900,000$	11,900,000$	11,900,000$	11,900,000$	11,900,000$	UFA		Lien / Lien NHL
Nick Blankenburg (sur la masse salariale)	Hurricanes	D	27	1998-05-12	No	177 Lbs	5 ft9	No	No	No	3	Pro & Farm	1,500,000$	1,500,000$	1,011,236$	No	1,500,000$	1,500,000$	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$	5,056,180$	No	RFA							Lien / Lien NHL
Noah Cates (sur la masse salariale)	Hurricanes	RW	26	1999-02-05	No	194 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	2,350,000$	2,350,000$	1,584,270$	No	RFA							Lien / Lien NHL
Samuel Montembeault	Hurricanes	G	29	1996-10-30	No	192 Lbs	6 ft3	No	No	Yes	8	Pro Only	5,000,000$	5,000,000$	3,370,787$	No	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	5,000,000$	Lien / Lien NHL
Seth Jarvis	Hurricanes	LW	23	2002-02-01	No	184 Lbs	5 ft10	No	No	Yes	1	Pro Only	6,500,000$	6,500,000$	4,382,022$	No	RFA							Lien / Lien NHL
Shane Pinto	Hurricanes	C	25	2000-11-12	No	204 Lbs	6 ft3	No	No	Yes	6	Pro Only	7,500,000$	7,500,000$	5,056,180$	No	7,500,000$	7,500,000$	7,500,000$	7,500,000$	7,500,000$	UFA		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$	1,348,315$	No	2,000,000$	2,000,000$	2,000,000$	2,000,000$	UFA			Lien / Lien NHL
Travis Sanheim	Hurricanes	D	29	1996-03-29	No	222 Lbs	6 ft4	No	No	Yes	2	Pro & Farm	4,500,000$	4,500,000$	3,033,708$	No	4,500,000$	UFA						Lien / Lien NHL
Wyatt Johnston	Hurricanes	LW	22	2003-05-14	No	185 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	925,000$	623,596$	No	RFA							Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	27.27	195 Lbs	6 ft1	2.95	3,960,227$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
87,125,001$	73,200,000$	58,475,000$	50,150,000$	39,400,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Seth Jarvis	Aleksander Barkov	Mitchell Marner	42	0	2	3
2	Wyatt Johnston	Nico Hischier	Alex Tuch	35	0	2	3
3	Anthony Cirelli	Shane Pinto	Adam Fantilli	23	1	2	2
4	Teddy Blueger	Colton Sissons	Barclay Goodrow	0	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Devon Toews	Cale Makar	42	0	2	3
2	Lane Hutson	Travis Sanheim	35	1	2	2
3	Alexander Romanov	Brayden McNabb	20	1	2	2
4	Lane Hutson	Cale Makar	3	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Seth Jarvis	Aleksander Barkov	Alex Tuch	55	0	0	5
2	Wyatt Johnston	Nico Hischier	Anthony Cirelli	45	0	0	5

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Cale Makar	Mitchell Marner	55	0	0	5
2	Shane Pinto	Lane Hutson	45	0	0	5

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nico Hischier	Alex Tuch	55	1	3	1
2	Shane Pinto	Anthony Cirelli	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	Brayden McNabb	Travis Sanheim	45	1	3	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Aleksander Barkov	60	1	4	0	Devon Toews	Cale Makar	60	1	4	0
2	Nico Hischier	40	0	4	1	Brayden McNabb	Travis Sanheim	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Shane Pinto	Wyatt Johnston	60	1	2	2
2	Nico Hischier	Anthony Cirelli	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Lane Hutson	Devon Toews	60	1	2	2
2	Alexander Romanov	Travis Sanheim	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Seth Jarvis	Aleksander Barkov	Mitchell Marner	Lane Hutson	Cale Makar

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Seth Jarvis	Aleksander Barkov	Mitchell Marner	Devon Toews	Cale Makar

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Anthony Cirelli, Adam Fantilli, Shane Pinto	Adam Fantilli, Shane Pinto	Shane Pinto

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Alexander Romanov, Travis Sanheim, Brayden McNabb	Lane Hutson	Alexander Romanov, Lane Hutson

Tirs de pénalité
Aleksander Barkov, Alex Tuch, Mitchell Marner, Cale Makar, Wyatt Johnston

Gardien
#1 : Samuel Montembeault, #2 : Jet Greaves

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
1	Avalanche	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	0	0	1	0	24	8	9	7	0	26	5	8	14	7	1	14.29%	4	1	75.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	26	18	21	7	12	6
2	BlueJackets	1	1	0	0	0	0	0	0	7	1	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	1	6	2	1.000	7	14	21	0	0	3	1	3	0	47	9	14	24	0	18	7	2	10	12	2	16.67%	1	0	100.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	29	22	18	6	11	6
3	Blues	1	1	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	13	20	0	0	4	1	2	0	41	16	13	12	0	26	5	11	16	4	1	25.00%	3	1	66.67%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	28	20	19	6	12	6
4	Bruins	1	1	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	2	5	2	1.000	7	14	21	0	0	2	2	3	0	30	9	5	16	0	29	16	6	14	6	4	66.67%	3	1	66.67%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	25	17	22	8	11	6
5	Canadiens	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	0	3	1	0	33	6	13	14	0	29	10	6	14	5	2	40.00%	2	0	100.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	25	18	22	6	12	5
6	Capitals	2	1	0	0	0	0	1	0	9	4	5	1	1	0	0	0	0	0	0	5	1	4	1	0	0	0	0	0	1	0	4	3	1	4	1.000	9	15	24	0	0	2	5	1	1	78	18	33	26	4	42	17	12	38	9	0	0.00%	6	0	100.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	55	40	42	14	26	13
7	Devils	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	4	3	1	4	1.000	9	17	26	0	0	3	4	2	0	73	29	23	21	0	34	7	18	46	13	5	38.46%	8	1	87.50%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	53	38	42	14	24	12
8	Flyers	2	2	0	0	0	0	0	0	10	3	7	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	3	2	1	4	1.000	10	20	30	0	0	3	2	5	0	71	26	24	21	0	42	17	37	42	16	3	18.75%	10	2	80.00%	1	674	1159	58.15%	430	845	50.89%	231	448	51.56%	54	38	41	14	23	12
9	Jets	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	0	2	2	1	29	0	11	16	2	14	10	9	16	4	2	50.00%	2	1	50.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	24	17	23	6	13	7
10	Kings	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	2	1	1	0	42	15	14	13	0	27	4	6	22	7	2	28.57%	3	1	66.67%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	24	17	22	7	12	6
11	Lightning	1	1	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	9	1	8	0	0	0	0	0	0	0	0	0	0	0	2	1.000	9	15	24	0	0	4	4	1	0	44	17	13	14	0	24	6	6	19	4	2	50.00%	3	1	66.67%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	30	22	18	6	11	6
12	MapleLeafs	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	5	1	2	1.000	6	9	15	0	0	3	2	1	0	44	20	6	18	0	39	8	18	29	7	1	14.29%	4	1	75.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	25	18	23	6	11	6
13	Oilers	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	1	7	-6	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	33	7	9	17	0	32	8	12	22	3	0	0.00%	6	1	83.33%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	24	16	23	7	12	5
14	Panthers	2	2	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	4	2	2	4	1.000	4	7	11	0	0	1	3	0	0	48	15	20	13	0	54	18	18	29	7	0	0.00%	8	0	100.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	48	34	47	14	24	12
15	Penguins	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	3	6	9	0	0	2	1	0	0	74	28	26	20	0	32	8	18	40	15	1	6.67%	8	2	75.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	58	43	37	14	23	12
16	Predators	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	4	3	2	1.000	7	13	20	0	0	2	3	2	0	31	9	15	7	0	33	10	23	19	5	1	20.00%	9	1	88.89%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	26	17	21	6	11	6
17	Rangers	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	9	14	0	0	1	2	2	0	72	21	24	27	0	42	13	8	41	12	1	8.33%	4	1	75.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	57	41	37	13	25	13
18	Sabres	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	1	2	0	0	33	6	10	17	0	23	5	12	24	4	1	25.00%	6	0	100.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	24	17	22	7	12	6
19	Senators	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	10	15	0	0	3	0	2	0	35	13	10	12	0	19	6	10	22	5	1	20.00%	4	0	100.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	29	21	17	6	13	6
20	Stars	2	2	0	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	5	4	1	4	1.000	9	17	26	0	0	3	4	2	0	81	21	28	32	0	53	10	16	34	12	2	16.67%	5	1	80.00%	0	674	1159	58.15%	430	845	50.89%	231	448	51.56%	55	40	39	13	25	13
21	Wild	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	1	2	0	0	27	9	9	9	0	17	4	15	29	5	0	0.00%	5	0	100.00%	1	674	1159	58.15%	430	845	50.89%	231	448	51.56%	28	20	19	6	11	6
	Total	28	21	5	0	1	0	1	0	118	71	47	14	10	3	0	1	0	0	0	60	33	27	14	11	2	0	0	0	1	0	58	38	20	46	0.821	118	218	336	0	0	40	45	31	2	990	302	329	356	6	655	194	271	540	162	32	19.75%	104	16	84.62%	2	674	1159	58.15%	430	845	50.89%	231	448	51.56%	758	546	584	196	343	180
	_Since Last GM Reset	28	21	5	0	1	0	1	0	118	71	47	14	10	3	0	1	0	0	0	60	33	27	14	11	2	0	0	0	1	0	58	38	20	46	0.821	118	218	336	0	0	40	45	31	2	990	302	329	356	6	655	194	271	540	162	32	19.75%	104	16	84.62%	2	674	1159	58.15%	430	845	50.89%	231	448	51.56%	758	546	584	196	343	180
	_Vs Conference	19	15	3	0	0	0	1	0	81	40	41	8	6	2	0	0	0	0	0	36	13	23	11	9	1	0	0	0	1	0	45	27	18	32	0.842	81	149	230	0	0	28	31	21	1	682	217	221	243	4	427	138	171	368	115	23	20.00%	67	9	86.57%	1	674	1159	58.15%	430	845	50.89%	231	448	51.56%	519	376	393	133	232	122
	_Vs Division	11	7	3	0	0	0	1	0	43	24	19	5	3	2	0	0	0	0	0	20	9	11	6	4	1	0	0	0	1	0	23	15	8	16	0.727	43	81	124	0	0	14	15	13	1	415	131	144	139	4	210	69	95	217	77	12	15.58%	37	6	83.78%	1	674	1159	58.15%	430	845	50.89%	231	448	51.56%	309	225	220	77	135	72

			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
28	46	W3	118	218	336	990	655	194	271	540	0	0

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	21	5	1	0	1	0	118	71

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	10	3	1	0	0	0	60	33

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	11	2	0	0	1	0	58	38

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
8	2	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
162	32	19.75%	104	16	84.62%	2

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
302	329	356	6	40	45	31	2

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
674	1159	58.15%	430	845	50.89%	231	448	51.56%

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
758	546	584	196	343	180

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	Lien
1	11	Hurricanes	3	Flyers	2	AW			Sommaire du match
3	20	Devils	1	Hurricanes	5	BW			Sommaire du match
5	42	Hurricanes	6	MapleLeafs	5	AW			Sommaire du match
7	56	Hurricanes	1	Penguins	4	AL			Sommaire du match
8	59	Flyers	1	Hurricanes	7	BW			Sommaire du match
10	77	Capitals	1	Hurricanes	5	BW			Sommaire du match
12	94	Hurricanes	4	Capitals	3	AW	X	X	Sommaire du match
14	104	Canadiens	2	Hurricanes	4	BW			Sommaire du match
15	109	Wild	1	Hurricanes	3	BW			Sommaire du match
17	125	Lightning	1	Hurricanes	9	BW			Sommaire du match
19	141	Penguins	3	Hurricanes	2	BL			Sommaire du match
22	164	Sabres	1	Hurricanes	3	BW			Sommaire du match
23	174	Hurricanes	7	BlueJackets	1	AW			Sommaire du match
27	202	Hurricanes	1	Avalanche	3	AL			Sommaire du match
29	219	Hurricanes	7	Predators	4	AW			Sommaire du match
30	226	Jets	4	Hurricanes	5	BW	X		Sommaire du match
33	245	Hurricanes	7	Bruins	2	AW			Sommaire du match
36	268	Hurricanes	2	Panthers	1	AW			Sommaire du match
37	276	Blues	4	Hurricanes	7	BW			Sommaire du match
40	296	Kings	1	Hurricanes	4	BW			Sommaire du match
43	319	Hurricanes	5	Stars	4	AW			Sommaire du match
45	335	Hurricanes	2	Panthers	1	AW			Sommaire du match
47	348	Rangers	3	Hurricanes	1	BL			Sommaire du match
50	370	Stars	3	Hurricanes	4	BW			Sommaire du match
51	383	Oilers	7	Hurricanes	1	BL			Sommaire du match
54	405	Hurricanes	5	Senators	3	AW			Sommaire du match
56	417	Hurricanes	4	Devils	3	AW			Sommaire du match
58	435	Hurricanes	4	Rangers	2	AW			Sommaire du match
59	437	Hurricanes	-	Sabres	-
61	460	Hurricanes	-	Penguins	-
63	468	Flames	-	Hurricanes	-
65	485	GoldenKnights	-	Hurricanes	-
70	506	Hurricanes	-	Canucks	-
71	508	Hurricanes	-	Flames	-
73	518	Hurricanes	-	Oilers	-
75	534	Senators	-	Hurricanes	-
78	559	Hurricanes	-	Rangers	-
80	568	Predators	-	Hurricanes	-
82	587	Sabres	-	Hurricanes	-
83	599	Hurricanes	-	Lightning	-
85	608	Hurricanes	-	Islanders	-
87	624	Hurricanes	-	Senators	-
89	639	BlueJackets	-	Hurricanes	-
90	649	Hurricanes	-	Flyers	-
93	663	Flyers	-	Hurricanes	-
95	683	Hurricanes	-	Devils	-
97	705	Hurricanes	-	Capitals	-
98	706	Bruins	-	Hurricanes	-
99	717	Penguins	-	Hurricanes	-
101	733	RedWings	-	Hurricanes	-
105	762	Mammoth	-	Hurricanes	-
107	778	Capitals	-	Hurricanes	-
108	789	Hurricanes	-	Canadiens	-
110	800	MapleLeafs	-	Hurricanes	-
114	829	Hurricanes	-	Ducks	-
116	845	Hurricanes	-	Sharks	-
119	862	Hurricanes	-	Kings	-
121	878	Ducks	-	Hurricanes	-
124	900	Hurricanes	-	Canadiens	-
127	920	Hurricanes	-	Islanders	-
128	930	Panthers	-	Hurricanes	-
129	944	MapleLeafs	-	Hurricanes	-
132	966	Devils	-	Hurricanes	-
133	971	BlueJackets	-	Hurricanes	-
138	1010	Blackhawks	-	Hurricanes	-
140	1022	RedWings	-	Hurricanes	-
142	1038	Hurricanes	-	Blackhawks	-
144	1055	Hurricanes	-	Blues	-
147	1076	Hurricanes	-	GoldenKnights	-
148	1078	Hurricanes	-	Mammoth	-
151	1098	Bruins	-	Hurricanes	-
153	1108	Islanders	-	Hurricanes	-
155	1125	Sharks	-	Hurricanes	-
159	1151	Hurricanes	-	RedWings	-
161	1158	Avalanche	-	Hurricanes	-
165	1192	Hurricanes	-	Lightning	-
167	1201	Hurricanes	-	Jets	-
168	1208	Hurricanes	-	Wild	-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
171	1231	Canucks	-	Hurricanes	-
173	1241	Rangers	-	Hurricanes	-
175	1256	Hurricanes	-	BlueJackets	-
176	1259	Islanders	-	Hurricanes	-

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Seth Jarvis

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

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

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

AGE:21
SK:		85
EN:		84
DU:		99
PH:		72
PA:		63
SC:		81
DF:		73
Anthony Richard

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

AGE:27
SK:		76
EN:		76
DU:		66
PH:		55
PA:		54
SC:		56
DF:		69
Nicolas Deslauriers

AGE:34
SK:		75
EN:		67
DU:		64
PH:		49
PA:		43
SC:		55
DF:		62
Mike Hoffman

AGE:36
SK:		81
EN:		60
DU:		50
PH:		59
PA:		56
SC:		52
DF:		61
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
Nico Hischier

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

AGE:25
SK:		82
EN:		84
DU:		91
PH:		67
PA:		59
SC:		75
DF:		91
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
Fraser Minten (R)

AGE:21
SK:		77
EN:		77
DU:		57
PH:		55
PA:		48
SC:		62
DF:		58
Sam Lafferty

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

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
Noah Cates

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

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

AGE:25
SK:		75
EN:		71
DU:		64
PH:		58
PA:		51
SC:		66
DF:		68
Barclay Goodrow

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

AGE:32
SK:		81
EN:		72
DU:		62
PH:		59
PA:		60
SC:		59
DF:		51
Nathan Legare

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

AGE:24
SK:		75
EN:		74
DU:		64
PH:		41
PA:		44
SC:		38
DF:		50
Alex Galchenyuk

AGE:31
SK:		75
EN:		60
DU:		50
PH:		45
PA:		40
SC:		50
DF:		44

Défense #1

Défense #2

Gardien

Cale Makar

AGE:27
SK:		99
EN:		92
DU:		98
PH:		99
PA:		99
SC:		96
DF:		99
Travis Sanheim

AGE:29
SK:		77
EN:		91
DU:		99
PH:		62
PA:		62
SC:		62
DF:		95
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
Alexander Romanov

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

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

AGE:27
SK:		82
EN:		82
DU:		84
PH:		57
PA:		56
SC:		58
DF:		84

Adam Engstrom (R)

AGE:22
SK:		84
EN:		70
DU:		65
PH:		43
PA:		47
SC:		39
DF:		70
Matthew Kessel

AGE:25
SK:		75
EN:		72
DU:		63
PH:		49
PA:		48
SC:		50
DF:		65
Spencer Stastney

AGE:25
SK:		77
EN:		77
DU:		59
PH:		50
PA:		51
SC:		50
DF:		70
Jarred Tinordi

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

Samuel Montembeault

AGE:29
SK:		88
AG:		81
RB:		82
SC:		83
HS:		83
RT:		82
DF:		81
Jet Greaves

AGE:24
SK:		92
AG:		87
RB:		84
SC:		87
HS:		89
RT:		82
DF:		81
Yaroslav Askarov

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

AGE:26
SK:		86
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Zachary Fucale

AGE:30
SK:		75
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
Alexander Nikishin	Hurricanes	2034	88
Beckett Sennecke	Hurricanes	2038	9
Carter Bear	Hurricanes	2039	10
Danila Yurov	Hurricanes	2036	24
Dominik Badinka	Hurricanes	2038	36
Ilya Nabokov	Hurricanes	2038	28
Juraj Pekarcik	Hurricanes	2037	73
Kashawn Aitcheson	Hurricanes	2039	12
Logan Sawyer	Hurricanes	2038	38
Lukas Fischer	Hurricanes	2038	82
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	593	258	446	704	216	280	707	1543	2159	11.95%	133	11953	20.16	61	175	236	542	2	4	6	21	35	23	54.53%	5	1.18	10	48
4	Mitchell Marner	510	263	426	689	235	166	395	1108	2194	11.99%	96	11037	21.64	78	151	229	625	0	5	5	17	40	7	32.71%	9	1.25	5	18
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
2039	28	21	5	0	1	0	1	0	118	71	47	14	10	3	0	1	0	0	0	60	33	27	14	11	2	0	0	0	1	0	58	38	20	46	118	218	336	0	0	40	45	31	2	990	302	329	356	6	655	194	271	540	162	32	19.75%	104	16	84.62%	2	674	1159	58.15%	430	845	50.89%	231	448	51.56%	758	546	584	196	343	180
Total Saison régulière	1668	900	503	0	47	51	88	79	6098	4755	1343	834	461	244	0	22	18	45	44	3073	2294	779	834	439	259	0	25	33	43	35	3025	2461	564	2101	6098	10577	16675	23	87	286	2104	1985	1606	56057	2075	18303	18742	16549	47143	14115	18913	35850	8232	1721	20.91%	7170	1264	82.37%	77	32134	60340	53.25%	27520	53369	51.57%	13875	26751	51.87%	42214	28864	36353	12785	22745	11683
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