Canadian Hockey League

Thunder
Accueil
Formation
Pointeurs
Contrats
Trios
Stats Équipe
Calendrier
Charte
Carrière

Meneurs d'équipe

Stats Équipe

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Steve St-Amand
	Division	Pacific
	Conférence	Western
	Capitaine	Nathan MacKinnon
	Assistant #1	Roman Josi
	Assistant #2	Jonathan Toews
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	33
	Limite contact	54 / 50
	Espoirs	33
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	90,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	13
Finance
	Revenu annuel à ce jour	0$
	Dépenses annuelles à ce jour	0$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	89,693,790$
	Compte bancaire projeté	89,693,790$
Historique d'équipe
	Saison actuelle	0-0-0 (0PTS)
	Historique	1031-495-125 (0.624%)
	Apparitions séries éliminatoires	18
	Historique séries éliminatoires (W-L)	121-92
	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	51	51	80	99	61	92	97	99	85	99	83	77	72	82	87	45	20	83	0	29	3	11,000,000$
2	John Tavares	X				100.00	69	52	78	92	69	85	94	85	93	79	92	69	65	92	89	20	20	79	0	34	2	9,500,000$
3	Jake Evans	X				100.00	75	46	88	83	56	81	99	63	88	63	63	88	40	80	81	50	20	71	0	28	3	2,000,000$
4	Alex Iafallo		X			100.00	55	51	86	81	62	77	99	61	40	56	65	81	57	86	82	35	20	68	0	31	4	2,000,000$
5	Brendan Gallagher			X		100.00	66	44	80	85	48	78	99	64	40	57	71	67	58	88	83	30	20	67	0	32	4	850,000$
6	Jonathan Toews (A)	X				100.00	44	55	74	84	66	60	50	69	98	65	73	69	87	96	78	10	20	67	0	36	1	3,000,000$
7	Victor Olofsson		X			100.00	51	42	84	86	49	79	81	66	40	61	72	68	69	82	81	45	20	67	0	29	1	5,000,000$
8	Taylor Raddysh			X		100.00	57	51	86	78	67	75	98	59	40	61	57	61	40	76	76	60	20	64	0	26	2	2,000,000$
9	Michael Carcone		X			100.00	61	48	76	83	46	74	79	60	40	59	61	59	40	80	77	50	20	63	0	28	1	850,000$
10	Roman Josi (A)				X	100.00	59	50	83	89	64	92	79	78	40	85	71	81	70	92	92	20	20	76	0	34	3	8,500,000$
11	Torey Krug				X	100.00	59	44	82	86	52	55	50	67	40	77	56	73	58	90	73	25	20	66	0	33	1	7,000,000$
Rayé
1	Filip Forsberg		X			100.00	83	51	79	91	66	86	99	83	40	85	81	70	74	84	85	40	20	77	0	30	0	0$
2	Ryan McLeod	X				100.00	45	48	86	86	61	83	97	73	87	74	71	86	40	74	79	65	20	73	0	25	0	0$
3	Trey Fix-Wolansky			X		100.00	63	41	68	84	48	74	64	63	40	63	63	56	84	74	74	65	20	63	0	25	0	0$
4	Kole Lind		X			100.00	58	44	64	78	60	80	70	55	40	53	57	62	90	76	78	60	20	61	0	26	1	1,000,000$
5	Michael Matheson				X	100.00	58	52	77	80	63	92	98	62	40	66	59	92	65	84	88	40	20	75	0	30	0	0$
6	Jacob Middleton				X	100.00	75	62	78	77	77	86	89	60	40	56	65	85	40	80	83	50	20	73	0	28	0	0$
7	Noah Hanifin				X	100.00	53	53	87	82	70	86	98	68	40	70	65	77	73	78	82	55	20	72	0	27	0	0$
8	Cam York				X	100.00	61	47	82	80	58	84	88	57	40	56	57	83	40	70	77	75	20	69	0	23	0	0$
Équipe Mineure
1	Marco Kasper	X				100.00	87	45	81	83	55	80	96	65	80	59	70	72	40	64	72	90	20	68	0	20	2	925,000$
2	Jesse Puljujarvi			X		100.00	99	56	74	76	77	74	64	58	40	56	61	65	40	76	75	60	20	64	0	26	4	850,000$
3	Colton Dach	X				100.00	99	59	76	76	67	75	60	56	40	56	57	75	40	66	71	85	20	63	0	21	2	925,000$
4	Henrik Rybinski			X		100.00	62	53	83	75	59	69	59	49	70	54	44	70	40	70	70	75	20	58	0	23	1	925,000$
5	Xavier Bourgault			X		100.00	53	47	85	75	49	70	60	42	40	39	46	59	65	68	69	80	20	53	0	22	1	925,000$
6	Johnathan Kovacevic				X	100.00	70	69	72	75	83	82	98	54	40	56	52	82	40	78	80	55	20	71	0	27	3	1,500,000$
7	Olen Zellweger				X	100.00	54	43	84	83	51	81	85	61	40	57	64	74	40	66	74	85	20	67	0	21	2	925,000$
8	Mitchell VandeSompel				X	100.00	60	57	90	75	52	55	50	31	40	33	30	63	40	78	67	55	20	55	0	27	1	600,000$
9	Mark Kastelic	X				100.00	99	91	55	75	83	72	85	54	89	52	57	68	40	74	73	65	20	64	0	25	0	0$
10	Matthew Phillips			X		100.00	46	38	88	85	40	74	64	61	40	69	53	70	99	76	75	60	20	63	0	26	0	0$
11	Tye Kartye		X			100.00	99	51	76	78	60	71	86	53	40	49	58	66	40	70	71	75	20	62	0	23	0	0$
12	Jan Mysak	X				100.00	57	60	84	77	55	77	67	50	70	49	52	65	90	68	73	80	20	59	0	22	0	0$
13	Ben McCartney		X			100.00	56	58	63	75	61	72	62	46	40	42	51	70	40	70	71	75	20	57	0	23	0	0$
14	Jordan Dumais (R)			X		100.00	47	38	86	92	42	60	50	46	40	47	46	60	40	64	62	90	20	55	0	20	0	0$
15	Kristian Vesalainen		X			100.00	72	53	88	75	71	60	50	47	40	42	50	50	40	74	67	65	20	54	0	25	0	0$
16	Jake Leschyshyn		X			100.00	77	46	80	75	59	78	68	39	40	33	45	50	40	74	76	65	20	53	0	25	0	0$
17	Felix Unger Sorum (R)			X		100.00	49	39	86	91	44	70	60	38	40	40	37	50	40	62	66	95	20	52	0	19	0	0$
18	Jalen Luypen		X			100.00	45	47	86	75	43	65	55	35	40	29	42	70	40	68	67	80	20	51	0	22	2	925,000$
19	Matvey Petrov		X			100.00	52	39	86	75	65	60	50	38	40	31	45	54	73	66	63	85	20	51	0	21	2	925,000$
20	Jaydon Dureau		X			100.00	60	52	83	75	49	60	50	33	40	30	35	63	73	70	65	75	20	50	0	23	1	925,000$
21	Tucker Robertson		X			100.00	56	59	83	75	54	60	50	35	40	31	39	55	40	66	63	85	20	49	0	21	2	925,000$
22	Owen Pickering (R)				X	100.00	52	53	85	75	71	74	60	51	40	47	55	71	40	64	69	90	20	62	0	20	0	0$
23	Ryan Mast (R)				X	100.00	85	60	80	76	80	55	50	31	40	31	30	67	40	66	61	85	20	59	0	21	0	0$
24	Ethan Samson				X	100.00	54	38	78	75	70	73	68	43	40	34	51	50	40	66	70	85	20	56	0	21	2	925,000$
25	Ryan O'Rourke				X	100.00	60	84	75	75	59	63	58	34	40	34	34	52	40	68	66	80	20	54	0	22	0	0$
26	Santeri Hatakka				X	100.00	67	47	69	75	56	55	50	30	40	24	36	61	40	70	63	75	20	54	0	23	0	0$
27	Santtu Kinnunen				X	100.00	50	45	83	75	48	55	50	39	40	41	37	50	40	74	65	65	20	52	0	25	1	600,000$

	MOYENNE D’ÉQUIPE					100.00	63	51	80	80	60	73	72	55	49	53	56	68	53	75	74	63	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	Karel Vejmelka	100.00	78	99	99	98	79	78	82	81	84	82	88	80	79	50	20	82	0	28	2	1,500,000$
Rayé
1	Filip Gustavsson	100.00	87	99	99	86	90	87	88	90	89	90	90	76	82	60	20	86	0	26	0	0$
Équipe Mineure
1	Devon Levi	100.00	81	71	78	84	69	65	63	65	65	63	99	70	68	75	20	68	0	23	1	750,000$
2	Dustin Wolf	100.00	87	95	99	78	91	88	90	88	86	85	93	70	79	75	20	84	0	23	0	0$
3	Trent Miner	100.00	87	66	71	88	65	62	65	63	65	64	40	70	66	75	20	67	0	23	1	750,000$
4	Dennis Hildeby	100.00	76	57	60	99	59	56	54	57	59	57	99	70	63	75	20	62	0	23	1	750,000$
5	Nico Daws	100.00	79	61	64	94	50	50	50	50	50	50	70	72	61	70	20	59	0	24	0	0$
6	Gage Alexander	100.00	75	50	60	97	50	50	50	50	50	50	40	68	59	80	20	57	0	22	1	925,000$

	MOYENNE D’ÉQUIPE	100.00	81	75	79	91	69	67	68	68	69	68	77	72	70	70	20	71

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du joueur	Nom de l’équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du gardien	Nom de l’équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2039	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2040	2041	2042	2043	Link
Alex Iafallo	Kings	LW	31	1993-12-21	No	201 Lbs	6 ft0	Yes	No	No	4	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	2,000,000$	2,000,000$	UFA	Lien / Lien NHL
Brendan Gallagher	Kings	RW	32	1992-05-06	No	185 Lbs	5 ft9	Yes	No	No	4	Pro & Farm	850,000$	850,000$	850,000$	No	850,000$	850,000$	850,000$	UFA	Lien / Lien NHL
Cam York	Kings	D	23	2001-01-05	No	194 Lbs	6 ft0	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Filip Forsberg	Kings	LW	30	1994-08-13	No	205 Lbs	6 ft1	No	No	Yes	0	Pro Only	UFA	0$	0$	No					Lien / Lien NHL
Filip Gustavsson	Kings	G	26	1998-06-07	No	185 Lbs	6 ft2	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Jacob Middleton	Kings	D	28	1996-01-02	No	219 Lbs	6 ft3	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No					Lien / Lien NHL
Jake Evans	Kings	C	28	1996-06-02	No	190 Lbs	6 ft0	No	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
John Tavares	Kings	C	34	1990-09-20	No	211 Lbs	6 ft1	No	No	Yes	2	Pro Only	9,500,000$	9,500,000$	9,500,000$	No	9,500,000$	UFA			Lien / Lien NHL
Jonathan Toews	Kings	C	36	1988-04-29	No	201 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	UFA				Lien / Lien NHL
Karel Vejmelka	Kings	G	28	1996-05-25	No	224 Lbs	6 ft4	No	No	No	2	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	No	1,500,000$	UFA			Lien / Lien NHL
Kole Lind	Kings	LW	26	1998-10-16	No	193 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	RFA				Lien / Lien NHL
Michael Carcone	Kings	LW	28	1996-05-19	No	182 Lbs	5 ft9	No	No	No	1	Pro & Farm	850,000$	850,000$	850,000$	No	UFA				Lien / Lien NHL
Michael Matheson	Kings	D	30	1994-02-27	No	196 Lbs	6 ft2	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No					Lien / Lien NHL
Nathan MacKinnon	Kings	C	29	1995-09-01	No	200 Lbs	6 ft0	No	No	Yes	3	Pro Only	11,000,000$	11,000,000$	11,000,000$	No	11,000,000$	11,000,000$	UFA		Lien / Lien NHL
Noah Hanifin	Kings	D	27	1997-01-25	No	206 Lbs	6 ft3	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Roman Josi	Kings	D	34	1990-06-01	No	201 Lbs	6 ft1	No	No	Yes	3	Pro Only	8,500,000$	8,500,000$	8,500,000$	No	8,500,000$	8,500,000$	UFA		Lien / Lien NHL
Ryan McLeod	Kings	C	25	1999-09-21	No	188 Lbs	6 ft3	No	No	No	0	Pro & Farm	RFA	0$	0$	No					Lien / Lien NHL
Taylor Raddysh	Kings	RW	26	1998-02-18	No	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	UFA			Lien / Lien NHL
Torey Krug	Kings	D	33	1991-04-12	No	194 Lbs	5 ft9	No	No	Yes	1	Pro Only	7,000,000$	7,000,000$	7,000,000$	No	UFA				Lien / Lien NHL
Trey Fix-Wolansky	Kings	RW	25	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	29	1995-07-18	No	180 Lbs	5 ft11	No	No	Yes	1	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	UFA				Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.95	198 Lbs	6 ft1	1.33	2,580,952$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
54,200,000$	37,350,000$	24,350,000$	2,850,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Nathan MacKinnon	Victor Olofsson	35	0	1	4
2	Brendan Gallagher	John Tavares		35	0	2	3
3	Alex Iafallo	Jake Evans	Taylor Raddysh	20	0	3	2
4	Michael Carcone	Jonathan Toews		10	0	2	3

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Roman Josi		35	0	2	3
2			35	0	2	3
3		Torey Krug	30	0	2	3
4	Roman Josi		0	0	2	3

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1		Nathan MacKinnon	Victor Olofsson	60	0	1	4
2	Michael Carcone	John Tavares	Brendan Gallagher	40	0	1	4

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

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

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Roman Josi		50	0	4	1
2			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		50	0	5	0
2		50	0	5	0			50	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nathan MacKinnon		60	0	2	3
2	John Tavares	Victor Olofsson	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Roman Josi		60	0	2	3
2			40	0	2	3

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
	Nathan MacKinnon	Victor Olofsson	Roman Josi

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jake Evans	Nathan MacKinnon		Roman Josi

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Jake Evans, Jonathan Toews, Victor Olofsson	Jake Evans, Jonathan Toews	Victor Olofsson

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
, Torey Krug,		Torey Krug,

Tirs de pénalité
Nathan MacKinnon, , John Tavares, Victor Olofsson, Brendan Gallagher

Gardien
#1 : Karel Vejmelka, #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:30
SK:		91
EN:		86
DU:		99
PH:		83
PA:		85
SC:		81
DF:		70
Alex Iafallo

AGE:31
SK:		81
EN:		77
DU:		99
PH:		61
PA:		56
SC:		65
DF:		81
Victor Olofsson

AGE:29
SK:		86
EN:		79
DU:		81
PH:		66
PA:		61
SC:		72
DF:		68
Michael Carcone

AGE:28
SK:		83
EN:		74
DU:		79
PH:		60
PA:		59
SC:		61
DF:		59
Tye Kartye

AGE:23
SK:		78
EN:		71
DU:		86
PH:		53
PA:		49
SC:		58
DF:		66
Kole Lind

AGE:26
SK:		78
EN:		80
DU:		70
PH:		55
PA:		53
SC:		57
DF:		62
Ben McCartney

AGE:23
SK:		75
EN:		72
DU:		62
PH:		46
PA:		42
SC:		51
DF:		70
Kristian Vesalainen

AGE:25
SK:		75
EN:		60
DU:		50
PH:		47
PA:		42
SC:		50
DF:		50
Jake Leschyshyn

AGE:25
SK:		75
EN:		78
DU:		68
PH:		39
PA:		33
SC:		45
DF:		50
Matvey Petrov

AGE:21
SK:		75
EN:		60
DU:		50
PH:		38
PA:		31
SC:		45
DF:		54
Jalen Luypen

AGE:22
SK:		75
EN:		65
DU:		55
PH:		35
PA:		29
SC:		42
DF:		70
Jaydon Dureau

AGE:23
SK:		75
EN:		60
DU:		50
PH:		33
PA:		30
SC:		35
DF:		63
Tucker Robertson

AGE:21
SK:		75
EN:		60
DU:		50
PH:		35
PA:		31
SC:		39
DF:		55

Nathan MacKinnon

AGE:29
SK:		99
EN:		92
DU:		97
PH:		99
PA:		99
SC:		83
DF:		77
John Tavares

AGE:34
SK:		92
EN:		85
DU:		94
PH:		85
PA:		79
SC:		92
DF:		69
Ryan McLeod

AGE:25
SK:		86
EN:		83
DU:		97
PH:		73
PA:		74
SC:		71
DF:		86
Jake Evans

AGE:28
SK:		83
EN:		81
DU:		99
PH:		63
PA:		63
SC:		63
DF:		88
Marco Kasper

AGE:20
SK:		83
EN:		80
DU:		96
PH:		65
PA:		59
SC:		70
DF:		72
Jonathan Toews

AGE:36
SK:		84
EN:		60
DU:		50
PH:		69
PA:		65
SC:		73
DF:		69
Mark Kastelic

AGE:25
SK:		75
EN:		72
DU:		85
PH:		54
PA:		52
SC:		57
DF:		68
Colton Dach

AGE:21
SK:		76
EN:		75
DU:		60
PH:		56
PA:		56
SC:		57
DF:		75
Jan Mysak

AGE:22
SK:		77
EN:		77
DU:		67
PH:		50
PA:		49
SC:		52
DF:		65

Brendan Gallagher

AGE:32
SK:		85
EN:		78
DU:		99
PH:		64
PA:		57
SC:		71
DF:		67
Jesse Puljujarvi

AGE:26
SK:		76
EN:		74
DU:		64
PH:		58
PA:		56
SC:		61
DF:		65
Taylor Raddysh

AGE:26
SK:		78
EN:		75
DU:		98
PH:		59
PA:		61
SC:		57
DF:		61
Trey Fix-Wolansky

AGE:25
SK:		84
EN:		74
DU:		64
PH:		63
PA:		63
SC:		63
DF:		56
Matthew Phillips

AGE:26
SK:		85
EN:		74
DU:		64
PH:		61
PA:		69
SC:		53
DF:		70
Henrik Rybinski

AGE:23
SK:		75
EN:		69
DU:		59
PH:		49
PA:		54
SC:		44
DF:		70
Jordan Dumais (R)

AGE:20
SK:		92
EN:		60
DU:		50
PH:		46
PA:		47
SC:		46
DF:		60
Xavier Bourgault

AGE:22
SK:		75
EN:		70
DU:		60
PH:		42
PA:		39
SC:		46
DF:		59
Felix Unger Sorum (R)

AGE:19
SK:		91
EN:		70
DU:		60
PH:		38
PA:		40
SC:		37
DF:		50

Défense #1

Défense #2

Gardien

Roman Josi

AGE:34
SK:		89
EN:		92
DU:		79
PH:		78
PA:		85
SC:		71
DF:		81
Michael Matheson

AGE:30
SK:		80
EN:		92
DU:		98
PH:		62
PA:		66
SC:		59
DF:		92
Jacob Middleton

AGE:28
SK:		77
EN:		86
DU:		89
PH:		60
PA:		56
SC:		65
DF:		85
Noah Hanifin

AGE:27
SK:		82
EN:		86
DU:		98
PH:		68
PA:		70
SC:		65
DF:		77
Johnathan Kovacevic

AGE:27
SK:		75
EN:		82
DU:		98
PH:		54
PA:		56
SC:		52
DF:		82
Cam York

AGE:23
SK:		80
EN:		84
DU:		88
PH:		57
PA:		56
SC:		57
DF:		83
Olen Zellweger

AGE:21
SK:		83
EN:		81
DU:		85
PH:		61
PA:		57
SC:		64
DF:		74
Torey Krug

AGE:33
SK:		86
EN:		55
DU:		50
PH:		67
PA:		77
SC:		56
DF:		73

Owen Pickering (R)

AGE:20
SK:		75
EN:		74
DU:		60
PH:		51
PA:		47
SC:		55
DF:		71
Ryan Mast (R)

AGE:21
SK:		76
EN:		55
DU:		50
PH:		31
PA:		31
SC:		30
DF:		67
Ethan Samson

AGE:21
SK:		75
EN:		73
DU:		68
PH:		43
PA:		34
SC:		51
DF:		50
Mitchell VandeSompel

AGE:27
SK:		75
EN:		55
DU:		50
PH:		31
PA:		33
SC:		30
DF:		63
Ryan O'Rourke

AGE:22
SK:		75
EN:		63
DU:		58
PH:		34
PA:		34
SC:		34
DF:		52
Santeri Hatakka

AGE:23
SK:		75
EN:		55
DU:		50
PH:		30
PA:		24
SC:		36
DF:		61
Santtu Kinnunen

AGE:25
SK:		75
EN:		55
DU:		50
PH:		39
PA:		41
SC:		37
DF:		50

Filip Gustavsson

AGE:26
SK:		87
AG:		90
RB:		87
SC:		88
HS:		90
RT:		89
DF:		90
Dustin Wolf

AGE:23
SK:		87
AG:		91
RB:		88
SC:		90
HS:		88
RT:		86
DF:		85
Karel Vejmelka

AGE:28
SK:		78
AG:		79
RB:		78
SC:		82
HS:		81
RT:		84
DF:		82
Devon Levi

AGE:23
SK:		81
AG:		69
RB:		65
SC:		63
HS:		65
RT:		65
DF:		63
Trent Miner

AGE:23
SK:		87
AG:		65
RB:		62
SC:		65
HS:		63
RT:		65
DF:		64
Dennis Hildeby

AGE:23
SK:		76
AG:		59
RB:		56
SC:		54
HS:		57
RT:		59
DF:		57
Nico Daws

AGE:24
SK:		79
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Gage Alexander

AGE:22
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
Alex Cotton	Kings	2034	120
Alexandre Blais	Kings	2038	86
Andrey Krutov	Kings	2038	210
Anton Andersson	Kings	2031	173
Brandon Saigeon	Kings	2032	120
Brayden Yager	Kings	2037	14
Chase Clark	Kings	2035	206
Cole Knuble	Kings	2037	107
Daniil Sobolev	Kings	2035	171
Hudson Malinoski	Kings	2037	138
Hugo Gabrielson	Kings	2035	186
Jakov Novak	Kings	2032	210
James Reeder	Kings	2038	117
Joel Ratkovic Berndtsson	Kings	2036	175
Josh Pillar	Kings	2035	124
Justin Poirier	Kings	2038	55
Liam Greentree	Kings	2038	24
Lucas Forsell	Kings	2035	180
Mac Swanson	Kings	2038	179
Melvin Fernstrom	Kings	2038	68
Mikael Hakkarainen	Kings	2032	139
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
Toni Utunen	Kings	2032	150
Tyson Galloway	Kings	2035	174
Vyacheslav Peksa	Kings	2035	207
William Von Barnekow Lofberg	Kings	2035	176
Yegor Yegorov	Kings	2037	200
Yevgeni Oksentyuk	Kings	2034	89
Zach Fischer	Kings	2031	83

Choix au repêchage

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

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	1555	716	995	1711	353	503	1177	3588	5763	12.42%	224	29069	18.69	198	384	582	1475	4	0	4	34	121	35	55.30%	20	1.18	35	94
2	Jonathan Toews	1488	716	963	1679	336	656	1280	4374	5856	12.23%	546	31431	21.12	211	383	594	1498	21	15	36	165	117	42	56.37%	32	1.07	24	100
3	Nathan MacKinnon	1066	557	773	1330	440	418	896	2059	4313	12.91%	185	20579	19.31	145	320	465	1167	1	2	3	15	91	31	51.67%	20	1.29	9	48
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	781	383	482	865	345	815	1904	1164	3021	12.68%	171	16249	20.81	117	176	293	883	7	3	10	53	47	22	36.14%	13	1.06	13	38

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	Anton Khudobin	164	106	45	3	0.908	2.68	9508	2	7	424	4605	0	8	2	0.867	60
3	Filip Gustavsson	129	84	24	13	0.905	2.63	7242	12	12	317	3351	0	9	0	0.852	27
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
Total Saison régulière	1640	887	495	0	66	55	78	59	6170	4778	1392	820	459	228	0	31	27	44	31	3157	2347	810	820	428	267	0	35	28	34	28	3013	2431	582	2105	6170	10747	16917	19	78	269	2115	2008	1654	56440	1796	18743	18782	16726	48363	14845	17128	34970	8097	1838	22.70%	6339	1163	81.65%	72	32100	59632	53.83%	27856	52746	52.81%	14191	26679	53.19%	41053	28108	36275	12431	22158	11393
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
Total Séries éliminatoires	213	121	92	0	0	0	0	0	770	678	92	111	63	48	0	0	0	0	0	388	346	42	102	58	44	0	0	0	0	0	382	332	50	242	770	1360	2130	3	8	26	268	256	195	7064	186	2254	2385	2027	6816	2009	2339	4797	1063	243	22.86%	865	172	80.12%	4	4000	7706	51.91%	3768	7380	51.06%	1808	3580	50.50%	5298	3607	5000	1654	2935	1481

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	205	99	138	237	15	116	205	626	786	12.60%	76	4411	21.52	32	57	89	206	1	3	4	13	15	5	54.89%	3	1.07
2	John Tavares	212	93	115	208	17	70	155	518	766	12.14%	27	3946	18.61	24	49	73	187	0	0	0	0	16	7	53.36%	5	1.05
3	Nathan MacKinnon	147	68	95	163	20	40	126	269	557	12.21%	27	3026	20.59	19	38	57	140	0	0	0	4	9	6	47.00%	3	1.08
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	21	10	8	1	0.881	3.62	1210	0	0	73	615	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