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	Steve St-Amand
	Entraîneur	Patrick Roy
	Division	Pacific
	Conférence	Western
	Capitaine	Nathan MacKinnon
	Assistant #1	Roman Josi
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	The Sundown Center
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	21
	Équipe Mineure	31
	Limite contact	52 / 55
	Espoirs	30
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	15
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	87,020,567$
	Compte bancaire projeté	87,020,567$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	1084-519-130 (0.626%)
	Apparitions séries éliminatoires	19
	Historique séries éliminatoires (W-L)	124-96
	Stanley Cup	4

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	Nathan MacKinnon (C)	X				100.00	59	51	80	99	61	92	98	99	86	99	99	65	74	86	89	35	20	84	0	30	2	11,000,000$
2	Filip Forsberg		X			100.00	75	51	82	91	66	86	99	83	40	75	90	70	73	88	87	30	20	77	0	31	3	8,000,000$
3	John Tavares	X				100.00	61	54	83	89	72	85	99	81	93	80	81	64	64	96	91	10	20	76	0	35	1	9,500,000$
4	Alex Iafallo		X			100.00	76	49	86	81	62	81	97	60	40	57	63	80	57	90	86	25	20	69	0	32	3	2,000,000$
5	Jake Evans	X				100.00	71	46	82	81	56	80	89	59	91	54	64	80	40	84	82	40	20	67	0	29	2	2,000,000$
6	Marco Kasper	X				100.00	94	52	82	77	64	77	98	55	87	50	59	70	40	68	73	80	20	65	0	21	1	925,000$
7	Brendan Gallagher			X		100.00	70	44	80	81	48	75	96	57	40	57	57	65	58	92	84	20	20	64	0	33	3	850,000$
8	Roman Josi (A)				X	100.00	48	50	81	91	64	91	89	82	40	91	74	75	69	96	94	10	20	76	0	35	2	8,500,000$
9	Michael Matheson				X	100.00	58	49	81	82	63	90	96	66	40	72	61	86	65	88	89	30	20	75	0	31	3	5,000,000$
10	Noah Hanifin				X	100.00	52	53	86	79	70	87	92	62	40	69	55	81	73	82	85	45	20	72	0	28	2	5,000,000$
11	Cam York				X	100.00	48	47	82	82	58	87	94	61	40	64	57	83	40	74	81	65	20	71	0	24	4	4,500,000$
12	Johnathan Kovacevic				X	100.00	79	71	68	75	83	79	66	55	40	59	50	78	40	82	81	45	20	69	0	28	2	1,500,000$
Rayé
1	Ryan McLeod	X				100.00	45	52	86	84	69	84	98	72	83	80	64	89	40	78	81	55	20	73	0	26	0	0$
2	Nick Robertson		X			100.00	63	40	87	84	45	76	96	62	40	57	67	67	40	74	75	65	20	65	0	24	0	0$
3	Victor Olofsson		X			100.00	45	42	88	83	49	77	96	61	40	59	64	61	67	86	82	35	20	65	0	30	0	0$
4	Trey Fix-Wolansky			X		100.00	63	41	56	80	48	81	71	56	40	47	65	51	40	78	80	55	20	60	0	26	0	0$
5	Olen Zellweger				X	100.00	50	45	81	82	54	78	95	59	40	56	61	75	40	70	74	75	20	67	0	22	1	925,000$
6	Torey Krug				X	100.00	59	44	82	86	52	55	50	67	40	67	56	63	58	94	75	15	20	64	0	34	0	0$
7	Owen Pickering (R)				X	100.00	52	53	82	75	69	72	67	44	40	45	43	70	40	68	70	80	20	62	0	21	2	925,000$
Équipe Mineure
1	Taylor Raddysh			X		100.00	57	51	86	77	66	74	89	56	40	52	61	78	40	80	77	50	20	64	0	27	1	2,000,000$
2	Felix Unger Sorum (R)			X		100.00	49	39	84	85	44	81	71	63	40	70	49	70	73	66	74	85	20	63	0	20	2	925,000$
3	Jesse Puljujarvi			X		100.00	99	56	74	76	77	60	50	58	40	56	51	55	40	80	70	50	20	60	0	27	3	850,000$
4	Jordan Dumais (R)			X		100.00	47	38	87	75	42	60	50	41	40	40	42	50	40	68	64	80	20	50	0	21	2	925,000$
5	Ryan Mast (R)				X	100.00	85	60	82	75	80	55	50	37	40	45	30	62	40	70	63	75	20	59	0	22	2	925,000$
6	Mark Kastelic	X				100.00	99	85	56	75	86	76	99	56	96	50	62	82	40	78	77	55	20	68	0	26	0	0$
7	Michael Carcone		X			100.00	84	41	84	84	46	76	97	61	40	56	67	66	40	84	80	40	20	66	0	29	0	0$
8	Tye Kartye		X			100.00	99	54	78	81	60	74	87	59	40	58	60	76	40	74	74	65	20	66	0	24	0	0$
9	Colton Dach	X				100.00	99	70	73	75	78	74	85	54	72	51	57	68	40	70	72	75	20	63	0	22	1	925,000$
10	Xavier Bourgault			X		100.00	53	47	80	82	49	79	69	58	40	57	59	53	40	72	76	70	20	60	0	23	0	0$
11	Matthew Phillips			X		100.00	46	38	85	82	40	80	70	55	40	62	48	50	60	80	80	50	20	59	0	27	0	0$
12	Henrik Rybinski			X		100.00	62	53	82	75	61	68	58	46	70	48	44	70	40	74	71	65	20	57	0	24	0	0$
13	Kole Lind		X			100.00	58	44	63	75	59	79	69	46	40	48	43	50	80	80	80	50	20	56	0	27	0	0$
14	Tucker Robertson		X			100.00	56	59	77	75	57	72	62	43	40	40	47	70	99	70	71	75	20	56	0	22	1	925,000$
15	Melvin Fernstrom (R)			X		100.00	45	33	90	87	56	60	50	48	40	55	42	63	40	64	62	90	20	56	0	19	3	925,000$
16	Brayden Yager (R)	X				100.00	38	30	87	90	46	77	67	43	70	44	42	50	90	66	72	85	20	55	0	20	3	925,000$
17	Jan Mysak	X				100.00	57	60	79	75	51	65	55	42	70	39	45	63	40	72	69	70	20	54	0	23	0	0$
18	Jalen Luypen		X			100.00	45	47	85	75	43	60	50	37	70	27	47	69	40	72	66	70	20	51	0	23	1	925,000$
19	Matvey Petrov		X			100.00	52	39	88	75	65	60	50	38	40	35	41	58	40	70	65	75	20	51	0	22	1	925,000$
20	Jaydon Dureau		X			100.00	60	52	83	75	49	60	50	33	40	30	35	50	73	74	67	65	20	48	0	24	0	0$
21	Ethan Samson				X	100.00	54	38	78	75	70	55	50	46	40	47	45	64	40	70	63	75	20	58	0	22	1	925,000$
22	Ryan O'Rourke				X	100.00	60	84	85	75	52	55	50	31	40	31	30	60	40	72	64	70	20	54	0	23	0	0$
23	Santtu Kinnunen				X	100.00	50	45	83	75	48	55	50	39	40	41	37	50	40	78	67	55	20	53	0	26	0	0$
24	Santeri Hatakka				X	100.00	67	47	69	75	56	55	50	30	40	24	36	51	40	74	65	65	20	52	0	24	0	0$

	MOYENNE D’ÉQUIPE					100.00	63	50	80	80	59	73	75	55	50	55	55	66	51	77	76	56	20	63

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	Filip Gustavsson	100.00	88	91	99	86	89	86	87	89	88	89	87	80	83	50	20	85	0	27	2	6,000,000$
Rayé
1	Dustin Wolf	100.00	87	99	99	78	87	84	86	84	82	81	97	74	79	65	20	82	0	24	0	0$
Équipe Mineure
1	Karel Vejmelka	100.00	85	99	99	98	82	81	85	84	87	85	40	84	83	40	20	84	0	29	1	1,500,000$
2	Dennis Hildeby	100.00	90	54	60	99	88	85	83	86	88	86	40	74	80	65	20	81	0	24	0	0$
3	Devon Levi	100.00	81	83	91	84	57	53	51	53	53	51	99	74	64	65	20	62	0	24	0	0$
4	Nico Daws	100.00	79	74	78	94	50	50	50	50	50	50	70	76	63	60	20	60	0	25	0	0$
5	Trent Miner	100.00	87	60	61	88	54	51	54	52	54	53	40	74	63	65	20	60	0	24	0	0$
6	Gage Alexander	100.00	75	50	60	97	50	50	50	50	50	50	40	72	61	70	20	58	0	23	0	0$
7	Vyacheslav Peksa (R)	100.00	70	50	60	90	50	50	50	50	50	50	40	72	61	70	20	57	0	23	1	575,000$

	MOYENNE D’ÉQUIPE	100.00	82	73	79	90	67	66	66	66	67	66	61	76	71	61	20	70

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Patrick Roy	80	94	75	93	96	72	48	CAN	61	4	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	2040	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2041	2042	2043	2044	Link
Alex Iafallo	Kings	LW	32	1993-12-21	No	201 Lbs	6 ft0	Yes	No	No	3	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	2,000,000$	UFA		Lien / Lien NHL
Brendan Gallagher	Kings	RW	33	1992-05-06	No	185 Lbs	5 ft9	Yes	No	No	3	Pro & Farm	850,000$	850,000$	850,000$	No	850,000$	850,000$	UFA		Lien / Lien NHL
Cam York	Kings	D	24	2001-01-05	No	194 Lbs	6 ft0	No	No	Yes	4	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	No	4,500,000$	4,500,000$	4,500,000$	RFA	Lien / Lien NHL
Dustin Wolf	Kings	G	24	2001-04-16	No	156 Lbs	6 ft0	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Filip Forsberg	Kings	LW	31	1994-08-13	No	205 Lbs	6 ft1	No	No	Yes	3	Pro Only	8,000,000$	8,000,000$	8,000,000$	No	8,000,000$	8,000,000$	UFA		Lien / Lien NHL
Filip Gustavsson	Kings	G	27	1998-06-07	No	185 Lbs	6 ft2	No	No	Yes	2	Pro Only	6,000,000$	6,000,000$	6,000,000$	No	6,000,000$	UFA			Lien / Lien NHL
Jake Evans	Kings	C	29	1996-06-02	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	UFA			Lien / Lien NHL
John Tavares	Kings	C	35	1990-09-20	No	217 Lbs	6 ft1	No	No	Yes	1	Pro Only	9,500,000$	9,500,000$	9,500,000$	No	UFA				Lien / Lien NHL
Johnathan Kovacevic	Kings	D	28	1997-07-12	No	223 Lbs	6 ft5	No	No	No	2	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	No	1,500,000$	UFA			Lien / Lien NHL
Marco Kasper	Kings	C	21	2004-04-08	No	202 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	No	RFA				Lien / Lien NHL
Michael Matheson	Kings	D	31	1994-02-27	No	196 Lbs	6 ft2	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	UFA		Lien / Lien NHL
Nathan MacKinnon	Kings	C	30	1995-09-01	No	200 Lbs	6 ft0	No	No	Yes	2	Pro Only	11,000,000$	11,000,000$	11,000,000$	No	11,000,000$	UFA			Lien / Lien NHL
Nick Robertson	Kings	LW	24	2001-09-11	No	180 Lbs	5 ft9	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Noah Hanifin	Kings	D	28	1997-01-25	No	206 Lbs	6 ft3	No	No	Yes	2	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	UFA			Lien / Lien NHL
Olen Zellweger	Kings	D	22	2003-09-10	No	193 Lbs	5 ft10	No	No	No	1	Pro & Farm	925,000$	925,000$	925,000$	No	RFA				Lien / Lien NHL
Owen Pickering	Kings	D	21	2004-01-27	Yes	200 Lbs	6 ft4	No	No	No	2	Pro & Farm	925,000$	925,000$	925,000$	No	925,000$	RFA			Lien / Lien NHL
Roman Josi	Kings	D	35	1990-06-01	No	201 Lbs	6 ft1	No	No	Yes	2	Pro Only	8,500,000$	8,500,000$	8,500,000$	No	8,500,000$	UFA			Lien / Lien NHL
Ryan McLeod	Kings	C	26	1999-09-21	No	204 Lbs	6 ft3	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Torey Krug	Kings	D	34	1991-04-12	No	194 Lbs	5 ft9	No	No	Yes	0	Pro Only	UFA	0$	0$	No					Lien / Lien NHL
Trey Fix-Wolansky	Kings	RW	26	1999-05-26	No	193 Lbs	5 ft7	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Victor Olofsson	Kings	LW	30	1995-07-18	No	180 Lbs	5 ft11	No	No	Yes	0	Pro Only	UFA	0$	0$	No					Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.14	195 Lbs	6 ft0	1.57	3,172,619$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
66,625,000$	55,275,000$	20,350,000$	4,500,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Filip Forsberg	Nathan MacKinnon		30	0	1	4
2	Marco Kasper	John Tavares		30	0	2	3
3	Alex Iafallo	Jake Evans	Brendan Gallagher	25	0	3	2
4				15	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Roman Josi	Michael Matheson	35	0	2	3
2	Noah Hanifin	Cam York	35	0	2	3
3	Johnathan Kovacevic		30	0	2	3
4	Roman Josi	Michael Matheson	0	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Filip Forsberg	Nathan MacKinnon		60	0	1	4
2	Marco Kasper	John Tavares		40	0	1	4

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Roman Josi	Michael Matheson	60	0	1	4
2			40	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Jake Evans		50	0	4	1
2	Nathan MacKinnon	Alex Iafallo	50	0	4	1

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Roman Josi	Michael Matheson	50	0	4	1
2	Cam York	Johnathan Kovacevic	50	0	4	1

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Jake Evans	50	0	5	0	Roman Josi	Michael Matheson	50	0	5	0
2		50	0	5	0	Cam York	Johnathan Kovacevic	50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nathan MacKinnon	Filip Forsberg	50	0	1	4
2	John Tavares		50	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Roman Josi	Michael Matheson	50	0	2	3
2	Noah Hanifin	Cam York	50	0	2	3

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Filip Forsberg	Nathan MacKinnon		Roman Josi	Michael Matheson

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Alex Iafallo	Jake Evans		Roman Josi	Michael Matheson

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jake Evans, Alex Iafallo,	Jake Evans, Alex Iafallo

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Cam York, , Noah Hanifin		Cam York, Noah Hanifin

Tirs de pénalité
Nathan MacKinnon, John Tavares, Filip Forsberg, , Jake Evans

Gardien
#1 : Filip Gustavsson, #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

Filip Forsberg

AGE:31
SK:		91
EN:		86
DU:		99
PH:		83
PA:		75
SC:		90
DF:		70
Alex Iafallo

AGE:32
SK:		81
EN:		81
DU:		97
PH:		60
PA:		57
SC:		63
DF:		80
Tye Kartye

AGE:24
SK:		81
EN:		74
DU:		87
PH:		59
PA:		58
SC:		60
DF:		76
Michael Carcone

AGE:29
SK:		84
EN:		76
DU:		97
PH:		61
PA:		56
SC:		67
DF:		66
Nick Robertson

AGE:24
SK:		84
EN:		76
DU:		96
PH:		62
PA:		57
SC:		67
DF:		67
Victor Olofsson

AGE:30
SK:		83
EN:		77
DU:		96
PH:		61
PA:		59
SC:		64
DF:		61
Tucker Robertson

AGE:22
SK:		75
EN:		72
DU:		62
PH:		43
PA:		40
SC:		47
DF:		70
Kole Lind

AGE:27
SK:		75
EN:		79
DU:		69
PH:		46
PA:		48
SC:		43
DF:		50
Matvey Petrov

AGE:22
SK:		75
EN:		60
DU:		50
PH:		38
PA:		35
SC:		41
DF:		58
Jalen Luypen

AGE:23
SK:		75
EN:		60
DU:		50
PH:		37
PA:		27
SC:		47
DF:		69
Jaydon Dureau

AGE:24
SK:		75
EN:		60
DU:		50
PH:		33
PA:		30
SC:		35
DF:		50

Nathan MacKinnon

AGE:30
SK:		99
EN:		92
DU:		98
PH:		99
PA:		99
SC:		99
DF:		65
John Tavares

AGE:35
SK:		89
EN:		85
DU:		99
PH:		81
PA:		80
SC:		81
DF:		64
Ryan McLeod

AGE:26
SK:		84
EN:		84
DU:		98
PH:		72
PA:		80
SC:		64
DF:		89
Mark Kastelic

AGE:26
SK:		75
EN:		76
DU:		99
PH:		56
PA:		50
SC:		62
DF:		82
Jake Evans

AGE:29
SK:		81
EN:		80
DU:		89
PH:		59
PA:		54
SC:		64
DF:		80
Marco Kasper

AGE:21
SK:		77
EN:		77
DU:		98
PH:		55
PA:		50
SC:		59
DF:		70
Colton Dach

AGE:22
SK:		75
EN:		74
DU:		85
PH:		54
PA:		51
SC:		57
DF:		68
Brayden Yager (R)

AGE:20
SK:		90
EN:		77
DU:		67
PH:		43
PA:		44
SC:		42
DF:		50
Jan Mysak

AGE:23
SK:		75
EN:		65
DU:		55
PH:		42
PA:		39
SC:		45
DF:		63

Taylor Raddysh

AGE:27
SK:		77
EN:		74
DU:		89
PH:		56
PA:		52
SC:		61
DF:		78
Brendan Gallagher

AGE:33
SK:		81
EN:		75
DU:		96
PH:		57
PA:		57
SC:		57
DF:		65
Felix Unger Sorum (R)

AGE:20
SK:		85
EN:		81
DU:		71
PH:		63
PA:		70
SC:		49
DF:		70
Xavier Bourgault

AGE:23
SK:		82
EN:		79
DU:		69
PH:		58
PA:		57
SC:		59
DF:		53
Trey Fix-Wolansky

AGE:26
SK:		80
EN:		81
DU:		71
PH:		56
PA:		47
SC:		65
DF:		51
Jesse Puljujarvi

AGE:27
SK:		76
EN:		60
DU:		50
PH:		58
PA:		56
SC:		51
DF:		55
Matthew Phillips

AGE:27
SK:		82
EN:		80
DU:		70
PH:		55
PA:		62
SC:		48
DF:		50
Henrik Rybinski

AGE:24
SK:		75
EN:		68
DU:		58
PH:		46
PA:		48
SC:		44
DF:		70
Melvin Fernstrom (R)

AGE:19
SK:		87
EN:		60
DU:		50
PH:		48
PA:		55
SC:		42
DF:		63
Jordan Dumais (R)

AGE:21
SK:		75
EN:		60
DU:		50
PH:		41
PA:		40
SC:		42
DF:		50

Défense #1

Défense #2

Gardien

Roman Josi

AGE:35
SK:		91
EN:		91
DU:		89
PH:		82
PA:		91
SC:		74
DF:		75
Michael Matheson

AGE:31
SK:		82
EN:		90
DU:		96
PH:		66
PA:		72
SC:		61
DF:		86
Noah Hanifin

AGE:28
SK:		79
EN:		87
DU:		92
PH:		62
PA:		69
SC:		55
DF:		81
Cam York

AGE:24
SK:		82
EN:		87
DU:		94
PH:		61
PA:		64
SC:		57
DF:		83
Johnathan Kovacevic

AGE:28
SK:		75
EN:		79
DU:		66
PH:		55
PA:		59
SC:		50
DF:		78
Olen Zellweger

AGE:22
SK:		82
EN:		78
DU:		95
PH:		59
PA:		56
SC:		61
DF:		75
Torey Krug

AGE:34
SK:		86
EN:		55
DU:		50
PH:		67
PA:		67
SC:		56
DF:		63

Owen Pickering (R)

AGE:21
SK:		75
EN:		72
DU:		67
PH:		44
PA:		45
SC:		43
DF:		70
Ryan Mast (R)

AGE:22
SK:		75
EN:		55
DU:		50
PH:		37
PA:		45
SC:		30
DF:		62
Ethan Samson

AGE:22
SK:		75
EN:		55
DU:		50
PH:		46
PA:		47
SC:		45
DF:		64
Ryan O'Rourke

AGE:23
SK:		75
EN:		55
DU:		50
PH:		31
PA:		31
SC:		30
DF:		60
Santtu Kinnunen

AGE:26
SK:		75
EN:		55
DU:		50
PH:		39
PA:		41
SC:		37
DF:		50
Santeri Hatakka

AGE:24
SK:		75
EN:		55
DU:		50
PH:		30
PA:		24
SC:		36
DF:		51

Filip Gustavsson

AGE:27
SK:		88
AG:		89
RB:		86
SC:		87
HS:		89
RT:		88
DF:		89
Karel Vejmelka

AGE:29
SK:		85
AG:		82
RB:		81
SC:		85
HS:		84
RT:		87
DF:		85
Dustin Wolf

AGE:24
SK:		87
AG:		87
RB:		84
SC:		86
HS:		84
RT:		82
DF:		81
Dennis Hildeby

AGE:24
SK:		90
AG:		88
RB:		85
SC:		83
HS:		86
RT:		88
DF:		86
Devon Levi

AGE:24
SK:		81
AG:		57
RB:		53
SC:		51
HS:		53
RT:		53
DF:		51
Trent Miner

AGE:24
SK:		87
AG:		54
RB:		51
SC:		54
HS:		52
RT:		54
DF:		53
Nico Daws

AGE:25
SK:		79
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Gage Alexander

AGE:23
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Vyacheslav Peksa (R)

AGE:23
SK:		70
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
Alex Cotton	Kings	2034	120
Alexandre Blais	Kings	2038	86
Andrei Trofimov	Kings	2039	215
Andrey Krutov	Kings	2038	210
Chase Clark	Kings	2035	206
Cole Knuble	Kings	2037	107
Daniil Sobolev	Kings	2035	171
Ethan Wyttenbach	Kings	2039	153
Hudson Malinoski	Kings	2037	138
Hugo Gabrielson	Kings	2035	186
James Reeder	Kings	2038	117
Joel Ratkovic Berndtsson	Kings	2036	175
Josh Pillar	Kings	2035	124
Justin Poirier	Kings	2038	55
Kale Dach	Kings	2039	184
Liam Greentree	Kings	2038	24
Lucas Forsell	Kings	2035	180
Mac Swanson	Kings	2038	179
Malcolm Spence	Kings	2039	29
Nate Misskey	Kings	2038	148
Nick Malik	Kings	2036	144
Ryan Conmy	Kings	2037	169
Ryan Mccleary	Kings	2035	217
Simon Knak	Kings	2035	138
Theo Stockselius	Kings	2039	60
Tyson Galloway	Kings	2035	174
William Von Barnekow Lofberg	Kings	2035	176
Wilson Bjorck	Kings	2039	122
Yegor Yegorov	Kings	2037	200
Yevgeni Oksentyuk	Kings	2034	89

Choix au repêchage

Choix au repêchage
Année	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042
2043

Kings 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	John Tavares	1637	766	1049	1815	367	537	1233	3795	6187	12.38%	231	30586	18.68	216	411	627	1580	4	0	4	35	131	38	55.47%	23	1.19	37	98
2	Jonathan Toews	1570	734	985	1719	340	662	1287	4442	6002	12.23%	549	32229	20.53	218	394	612	1563	22	15	37	167	119	42	56.39%	32	1.07	24	100
3	Nathan MacKinnon	1145	591	829	1420	461	424	928	2271	4646	12.72%	194	22328	19.50	158	339	497	1262	2	4	6	31	98	32	51.68%	21	1.27	10	52
4	PK Subban	1040	202	769	971	267	1335	2378	1372	2413	8.37%	1166	24718	23.77	141	285	426	1495	1	7	8	20	23	7	0.00%	0	0.79	0	0
5	Filip Forsberg	863	416	525	941	363	909	2183	1283	3304	12.59%	179	17787	20.61	126	190	316	958	7	3	10	55	50	24	35.98%	14	1.06	15	42

Kings 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	Carey Price	886	554	262	53	0.903	2.82	51819	72	46	2434	25178	1735	58	9	0.775	240
2	Filip Gustavsson	178	111	41	15	0.904	2.70	10063	20	14	453	4720	0	11	0	0.889	36
3	Anton Khudobin	164	106	45	3	0.908	2.68	9508	2	7	424	4605	0	8	2	0.867	60
4	Karel Vejmelka	128	64	44	8	0.885	3.41	7242	6	4	412	3598	0	4	5	0.500	8
5	Chris Mason	117	50	43	12	0.906	3.01	6547	19	3	328	3491	1480	9	2	0.778	54

Kings 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	38	35	0	1	2	4	2	267	242	25	41	21	17	0	1	1	1	0	141	121	20	41	17	18	0	0	1	3	2	126	121	5	80	267	437	704	1	2	0	76	108	78	2692	0	907	929	848	2554	858	797	1949	247	28	11.34%	144	25	82.64%	2	1057	2082	50.77%	927	1853	50.03%	725	1389	52.20%	1868	1121	1809	780	1446	746
2018	82	51	18	0	1	3	2	7	292	218	74	41	24	11	0	1	1	2	2	139	109	30	41	27	7	0	0	2	0	5	153	109	44	107	292	471	763	0	2	0	81	108	100	2776	0	928	999	839	2572	855	601	1844	224	42	18.75%	92	16	82.61%	3	1050	1999	52.53%	995	1970	50.51%	707	1358	52.06%	1888	1153	1636	700	1447	746
2019	82	43	24	0	3	1	6	5	271	218	53	41	25	10	0	2	0	1	3	141	108	33	41	18	14	0	1	1	5	2	130	110	20	93	271	446	717	1	2	0	73	94	95	2840	0	915	977	930	2533	857	638	1820	237	37	15.61%	97	12	87.63%	2	1185	2233	53.07%	1019	1895	53.77%	634	1225	51.76%	1969	1224	1586	692	1428	738
2020	82	38	27	0	2	7	3	5	256	225	31	41	21	8	0	1	5	2	4	139	109	30	41	17	19	0	1	2	1	1	117	116	1	87	256	428	684	2	2	0	79	90	82	2774	0	945	963	845	2530	849	686	1860	240	42	17.50%	95	16	83.16%	1	1169	2175	53.75%	1036	1901	54.50%	641	1249	51.32%	1951	1205	1597	687	1424	739
2021	82	50	24	0	2	2	2	2	284	207	77	41	24	11	0	1	2	2	1	146	102	44	41	26	13	0	1	0	0	1	138	105	33	106	284	494	778	0	5	0	103	101	76	2776	0	944	894	920	2185	679	819	1713	484	107	22.11%	347	58	83.29%	2	1843	3294	55.95%	1414	2779	50.88%	676	1225	55.18%	2134	1503	1807	592	1005	523
2022	82	49	23	0	5	3	1	1	296	210	86	41	29	7	0	2	1	1	1	157	96	61	41	20	16	0	3	2	0	0	139	114	25	111	296	515	811	0	8	0	95	101	94	2857	0	889	974	979	2244	708	924	1787	458	101	22.05%	373	77	79.36%	1	1759	3302	53.27%	1459	2821	51.72%	679	1294	52.47%	2106	1471	1810	605	1030	532
2023	82	41	28	0	3	2	5	3	328	270	58	41	18	13	0	1	1	5	3	169	136	33	41	23	15	0	2	1	0	0	159	134	25	90	328	581	909	0	3	0	117	118	85	2704	0	902	925	852	2396	726	973	1692	465	110	23.66%	378	80	78.84%	4	1587	3083	51.48%	1444	2816	51.28%	695	1384	50.22%	2088	1468	1861	592	1021	529
2024	82	45	24	0	4	1	7	1	319	227	92	41	23	11	0	2	1	3	1	150	105	45	41	22	13	0	2	0	4	0	169	122	47	114	319	559	878	2	5	0	116	101	91	2983	0	1034	1016	898	2431	732	910	1869	479	120	25.05%	365	60	83.56%	5	1713	3344	51.23%	1557	2980	52.25%	734	1327	55.31%	2063	1436	1882	599	1021	530
2025	82	48	19	0	3	3	6	3	355	250	105	41	23	8	0	1	2	4	3	182	124	58	41	25	11	0	2	1	2	0	173	126	47	120	355	634	989	2	4	0	123	126	97	3129	0	1060	1035	1009	2390	677	859	1736	453	114	25.17%	334	74	77.84%	6	1827	3377	54.10%	1468	2796	52.50%	745	1373	54.26%	2112	1498	1841	591	1021	528
2026	82	51	22	0	3	0	5	1	343	250	93	41	28	8	0	1	0	3	1	193	127	66	41	23	14	0	2	0	2	0	150	123	27	119	343	611	954	0	1	0	124	111	100	2965	0	1023	948	972	2410	722	920	1720	472	116	24.58%	377	70	81.43%	6	1742	3297	52.84%	1551	2897	53.54%	733	1357	54.02%	2047	1426	1884	599	1022	520
2027	82	48	22	0	3	1	4	4	289	228	61	41	29	9	0	0	1	1	1	154	110	44	41	19	13	0	3	0	3	3	135	118	17	115	289	513	802	0	4	0	103	89	90	2524	0	818	808	874	2352	707	971	1777	465	117	25.16%	395	59	85.06%	2	1579	3067	51.48%	1491	2917	51.11%	688	1336	51.50%	2081	1460	1867	599	1016	517
2030	82	41	24	0	3	1	6	7	313	245	68	41	24	10	0	2	0	2	3	158	106	52	41	17	14	0	1	1	4	4	155	139	16	108	313	548	861	0	7	0	113	100	91	2897	0	947	918	984	2390	711	960	1755	454	103	22.69%	409	86	78.97%	4	1799	3284	54.78%	1444	2756	52.39%	697	1362	51.17%	2122	1484	1829	603	1040	536
2031	82	39	27	0	5	3	4	4	287	238	49	41	16	17	0	3	1	3	1	135	123	12	41	23	10	0	2	2	1	3	152	115	37	103	287	501	788	1	5	0	111	92	75	2691	0	899	849	912	2530	724	954	1649	433	92	21.25%	393	74	81.17%	2	1655	3089	53.58%	1529	2982	51.27%	695	1309	53.09%	2050	1435	1906	595	1019	516
2032	82	37	29	0	3	3	7	3	296	243	53	41	19	14	0	2	0	5	1	155	117	38	41	18	15	0	1	3	2	2	141	126	15	100	296	510	806	1	2	0	112	90	84	2887	0	950	938	963	2424	732	828	1666	440	83	18.86%	354	65	81.64%	3	1702	3239	52.55%	1531	2828	54.14%	704	1338	52.62%	2084	1467	1868	607	1031	521
2033	82	52	16	0	5	2	5	2	362	233	129	41	26	9	0	1	1	3	1	180	114	66	41	26	7	0	4	1	2	1	182	119	63	128	362	637	999	1	4	0	132	116	104	3114	0	1018	998	1065	2421	707	929	1743	419	119	28.40%	375	60	84.00%	7	1832	3344	54.78%	1499	2853	52.54%	718	1358	52.87%	2073	1449	1850	601	1045	533
2034	82	49	21	0	5	1	4	2	323	212	111	41	25	10	0	2	0	3	1	164	104	60	41	24	11	0	3	1	1	1	159	108	51	119	323	570	893	0	4	0	116	109	89	2848	0	927	943	953	2370	702	859	1678	396	97	24.49%	355	58	83.66%	6	1817	3220	56.43%	1583	2885	54.87%	751	1319	56.94%	2100	1478	1836	594	1024	521
2035	82	39	33	0	3	4	2	1	280	274	6	41	20	17	0	1	2	0	1	132	134	-2	41	19	16	0	2	2	2	0	148	140	8	93	280	493	773	3	3	0	96	87	92	2547	0	860	868	802	2487	744	978	1691	389	74	19.02%	406	73	82.02%	4	1639	2920	56.13%	1658	2858	58.01%	737	1347	54.71%	2029	1411	1894	605	1024	516
2036	82	39	34	0	2	5	0	2	336	296	40	41	22	15	0	1	1	0	2	182	149	33	41	17	19	0	1	4	0	0	154	147	7	89	336	609	945	1	3	0	124	99	111	2942	0	967	962	1000	2397	738	842	1704	458	111	24.24%	351	76	78.35%	3	1833	3204	57.21%	1365	2574	53.03%	771	1391	55.43%	2097	1479	1815	588	1025	528
2037	82	47	21	0	4	6	2	2	328	227	101	41	24	9	0	3	4	1	0	173	111	62	41	23	12	0	1	2	1	2	155	116	39	114	328	579	907	2	10	134	120	68	8	2821	900	961	932	41	2383	716	836	1700	436	97	22.25%	362	59	83.70%	6	1694	3066	55.25%	1492	2788	53.52%	724	1337	54.15%	2062	1445	1879	597	1018	522
2038	82	42	24	0	6	5	3	2	345	265	80	41	18	14	0	3	3	2	1	167	142	25	41	24	10	0	3	2	1	1	178	123	55	109	345	611	956	2	2	135	101	100	12	2673	896	849	906	40	2364	701	844	1617	448	128	28.57%	337	65	80.71%	3	1618	3013	53.70%	1394	2597	53.68%	737	1401	52.61%	2119	1486	1808	592	1041	542
2039	82	44	24	0	5	5	4	0	307	235	72	41	27	7	0	2	3	2	0	161	100	61	41	17	17	0	3	2	2	0	146	135	11	111	307	537	844	0	6	106	105	87	10	2916	932	958	978	60	2317	635	790	1612	444	94	21.17%	326	60	81.60%	7	1747	3183	54.89%	1468	2778	52.84%	696	1317	52.85%	2098	1466	1835	601	1036	536
Total Saison régulière	1722	931	519	0	71	60	82	59	6477	5013	1464	861	486	235	0	33	30	46	31	3318	2447	871	861	445	284	0	38	30	36	28	3159	2566	593	2216	6477	11284	17761	19	84	375	2220	2095	1664	59356	2728	19701	19760	16786	50680	15480	17918	36582	8541	1932	22.62%	6665	1223	81.65%	79	33847	62815	53.88%	29324	55524	52.81%	14887	27996	53.18%	43152	29574	38110	13033	23195	11930
Séries éliminatoires
2018	19	16	3	0	0	0	0	0	75	40	35	11	10	1	0	0	0	0	0	37	19	18	8	6	2	0	0	0	0	0	38	21	17	32	75	122	197	0	1	0	27	29	16	631	0	204	225	179	590	213	174	452	61	14	22.95%	22	4	81.82%	0	235	454	51.76%	217	461	47.07%	174	328	53.05%	434	265	400	165	334	173
2019	12	6	6	0	0	0	0	0	39	36	3	6	3	3	0	0	0	0	0	19	18	1	6	3	3	0	0	0	0	0	20	18	2	12	39	68	107	0	0	0	13	15	10	415	0	137	145	127	377	129	71	277	25	3	12.00%	16	2	87.50%	0	167	305	54.75%	131	255	51.37%	85	199	42.71%	281	178	246	100	204	102
2020	6	2	4	0	0	0	0	0	16	17	-1	3	1	2	0	0	0	0	0	7	8	-1	3	1	2	0	0	0	0	0	9	9	0	4	16	28	44	1	0	0	5	5	6	200	0	61	77	62	167	58	96	146	15	5	33.33%	12	3	75.00%	0	78	144	54.17%	83	150	55.33%	53	97	54.64%	143	87	110	50	106	55
2021	7	3	4	0	0	0	0	0	21	16	5	4	2	2	0	0	0	0	0	15	11	4	3	1	2	0	0	0	0	0	6	5	1	6	21	41	62	0	1	0	11	4	6	224	0	66	78	80	175	59	90	169	32	5	15.63%	34	3	91.18%	0	134	251	53.39%	140	239	58.58%	56	110	50.91%	167	115	165	54	86	43
2022	12	5	7	0	0	0	0	0	31	37	-6	7	2	5	0	0	0	0	0	17	27	-10	5	3	2	0	0	0	0	0	14	10	4	10	31	51	82	0	1	0	15	7	9	404	0	150	109	138	357	130	123	270	62	11	17.74%	57	12	78.95%	1	238	469	50.75%	218	413	52.78%	96	186	51.61%	300	209	282	89	152	76
2023	10	6	4	0	0	0	0	0	43	36	7	5	3	2	0	0	0	0	0	20	16	4	5	3	2	0	0	0	0	0	23	20	3	12	43	77	120	0	0	0	9	17	16	350	0	98	113	121	313	96	176	236	67	13	19.40%	54	10	81.48%	0	216	410	52.68%	214	372	57.53%	82	170	48.24%	268	186	240	78	134	67
2024	6	2	4	0	0	0	0	0	20	25	-5	3	1	2	0	0	0	0	0	10	10	0	3	1	2	0	0	0	0	0	10	15	-5	4	20	37	57	0	0	0	9	6	5	187	0	65	65	57	223	59	67	154	34	5	14.71%	27	7	74.07%	0	100	233	42.92%	107	244	43.85%	53	100	53.00%	143	99	141	43	75	38
2025	22	16	6	0	0	0	0	0	95	54	41	12	10	2	0	0	0	0	0	51	22	29	10	6	4	0	0	0	0	0	44	32	12	32	95	166	261	0	3	0	35	29	29	733	0	255	230	231	682	198	198	452	110	34	30.91%	77	13	83.12%	1	410	799	51.31%	415	823	50.43%	170	362	46.96%	543	382	525	164	278	140
2026	12	5	7	0	0	0	0	0	45	52	-7	7	3	4	0	0	0	0	0	25	28	-3	5	2	3	0	0	0	0	0	20	24	-4	10	45	84	129	0	0	0	19	14	11	451	0	148	180	120	402	110	149	239	73	20	27.40%	65	21	67.69%	1	285	523	54.49%	230	440	52.27%	118	213	55.40%	295	204	277	88	149	76
2027	7	3	4	0	0	0	0	0	21	21	0	4	1	3	0	0	0	0	0	11	14	-3	3	2	1	0	0	0	0	0	10	7	3	6	21	37	58	1	0	0	9	6	5	210	0	69	64	55	231	82	85	173	54	9	16.67%	38	5	86.84%	0	117	287	40.77%	135	277	48.74%	53	117	45.30%	188	126	176	60	101	50
2030	13	7	6	0	0	0	0	0	49	44	5	6	4	2	0	0	0	0	0	21	18	3	7	3	4	0	0	0	0	0	28	26	2	14	49	89	138	0	1	0	21	22	6	426	0	158	141	127	430	100	177	289	73	15	20.55%	68	13	80.88%	1	256	487	52.57%	254	489	51.94%	115	219	52.51%	319	218	297	95	163	83
2031	23	16	7	0	0	0	0	0	95	72	23	11	7	4	0	0	0	0	0	43	33	10	12	9	3	0	0	0	0	0	52	39	13	32	95	167	262	1	1	0	30	31	30	768	0	228	243	259	706	211	210	541	137	36	26.28%	92	16	82.61%	0	441	886	49.77%	408	808	50.50%	183	396	46.21%	604	422	550	179	310	154
2032	5	1	4	0	0	0	0	0	13	20	-7	2	0	2	0	0	0	0	0	5	9	-4	3	1	2	0	0	0	0	0	8	11	-3	2	13	23	36	0	0	0	2	5	5	171	0	54	66	50	149	40	47	113	22	5	22.73%	21	4	80.95%	0	111	192	57.81%	89	167	53.29%	43	81	53.09%	122	85	113	35	63	32
2033	11	5	6	0	0	0	0	0	37	42	-5	6	2	4	0	0	0	0	0	22	25	-3	5	3	2	0	0	0	0	0	15	17	-2	10	37	62	99	0	0	0	12	8	14	366	0	110	114	128	371	103	127	265	49	10	20.41%	57	11	80.70%	0	236	436	54.13%	191	422	45.26%	111	202	54.95%	278	191	276	83	147	73
2034	21	16	5	0	0	0	0	0	78	66	12	11	9	2	0	0	0	0	0	43	36	7	10	7	3	0	0	0	0	0	35	30	5	32	78	142	220	0	0	0	23	28	20	715	0	207	251	205	787	182	245	469	105	21	20.00%	101	11	89.11%	0	453	843	53.74%	470	852	55.16%	177	344	51.45%	548	380	545	166	282	142
2035	7	3	4	0	0	0	0	0	24	23	1	4	2	2	0	0	0	0	0	14	13	1	3	1	2	0	0	0	0	0	10	10	0	6	24	43	67	0	0	0	8	10	5	226	0	74	65	76	220	38	76	139	45	12	26.67%	29	7	75.86%	0	147	272	54.04%	134	240	55.83%	68	120	56.67%	185	130	160	50	91	46
2037	4	0	4	0	0	0	0	0	10	22	-12	2	0	2	0	0	0	0	0	4	13	-9	2	0	2	0	0	0	0	0	6	9	-3	0	10	19	29	0	0	3	6	1	0	98	42	30	26	0	148	55	51	86	18	3	16.67%	20	7	65.00%	0	65	130	50.00%	76	161	47.20%	30	76	39.47%	82	55	106	29	50	23
2038	16	9	7	0	0	0	0	0	58	55	3	7	3	4	0	0	0	0	0	24	26	-2	9	6	3	0	0	0	0	0	34	29	5	18	58	104	162	0	0	23	14	19	2	489	144	140	193	12	488	146	177	327	81	22	27.16%	75	23	69.33%	0	311	585	53.16%	256	567	45.15%	141	260	54.23%	391	267	382	117	201	101
2039	7	3	4	0	0	0	0	0	24	18	6	4	1	3	0	0	0	0	0	14	11	3	3	2	1	0	0	0	0	0	10	7	3	6	24	41	65	0	0	6	14	3	1	240	83	79	73	5	218	50	96	163	35	3	8.57%	30	4	86.67%	0	148	304	48.68%	130	261	49.81%	57	109	52.29%	177	119	166	54	90	46
Total Séries éliminatoires	220	124	96	0	0	0	0	0	794	696	98	115	64	51	0	0	0	0	0	402	357	45	105	60	45	0	0	0	0	0	392	339	53	248	794	1401	2195	3	8	32	282	259	196	7304	269	2333	2458	2032	7034	2059	2435	4960	1098	246	22.40%	895	176	80.34%	4	4148	8010	51.79%	3898	7641	51.01%	1865	3689	50.56%	5475	3727	5167	1708	3026	1528

Kings 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	Jonathan Toews	212	100	139	239	13	133	207	632	796	12.56%	76	4472	21.10	32	58	90	209	1	3	4	14	15	5	54.96%	3	1.07
2	John Tavares	219	96	122	218	23	72	167	535	801	11.99%	28	4076	18.61	25	49	74	194	0	0	0	0	17	7	53.34%	5	1.07
3	Nathan MacKinnon	154	70	98	168	21	40	131	287	586	11.95%	30	3182	20.66	19	40	59	142	0	0	0	5	9	6	46.83%	3	1.06
4	PK Subban	141	24	101	125	-2	198	315	193	285	8.42%	184	3415	24.22	16	35	51	168	0	1	1	0	2	2	0.00%	0	0.73
5	Corey Perry	106	57	64	121	25	153	255	123	393	14.50%	24	2195	20.72	20	23	43	120	0	0	0	0	12	2	34.33%	0	1.10

Kings 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	Carey Price	138	76	50	10	0.900	3.07	8243	8	7	422	4220	199	9	3
2	Anton Khudobin	23	13	8	1	0.908	2.99	1465	2	0	73	793	0	1	0
3	Filip Gustavsson	28	13	11	2	0.891	3.32	1644	0	0	91	833	0	2	0
4	Simeon Varlamov	13	9	2	0	0.938	1.92	751	2	0	24	388	156	2	0
5	Chris Mason	10	8	2	0	0.916	2.46	609	2	1	25	296	114	1	0