Canadian Hockey League

Spiders
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Meneurs d'équipe

Stats Équipe

Blessure/Suspension
Pas de blessure ou de suspension.

Information d’équipe
	Directeur général	Yann Aussant
	Entraîneur	Rick Bowness
	Division	Metropolitan
	Conférence	Eastern
	Capitaine
	Assistant #1
	Assistant #2
Uniformes

Informations de l’aréna
	Nom	Cormster Arena
	Capacité	25,000
	Assistance
	Billets de saison	10,000
Information formation
	Équipe Pro	22
	Équipe Mineure	25
	Limite contact	47 / 50
	Espoirs	9
Plafond salarial
	Cap Salarial de la Saison estimé	0$
	Plafond salarial disponible	85,000,000$
	Valeur du plafond salarial spécial	0$
	Joueurs Inclus dans le plafond salarial	22
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	14,411,434$
	Compte bancaire projeté	14,411,434$
Historique d'équipe
	Saison actuelle	0-0
	Historique	756-660-126 (0.490%)
	Apparitions séries éliminatoires	9
	Historique séries éliminatoires (W-L)	24-42
	Stanley Cup	0

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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	Blake Wheeler			X		100.00	58	58	77	84	81	83	92	76	87	84	68	72	76	96	90	10	49	75	0	37	2	5,000,000$
2	Boone Jenner	X				100.00	84	54	75	85	67	89	89	72	90	63	81	80	60	82	86	45	42	74	0	30	1	4,000,000$
3	Alex Iafallo		X			100.00	51	48	83	86	61	82	83	70	40	71	69	83	57	82	82	45	42	71	0	30	1	4,000,000$
4	Jason Zucker		X			100.00	99	48	78	87	55	81	96	70	40	62	78	68	57	84	83	40	42	71	0	31	3	3,000,000$
5	Michael Bunting		X			100.00	64	49	65	86	57	81	99	70	40	66	73	70	99	78	80	55	42	70	0	28	4	4,500,000$
6	Oliver Bjorkstrand			X		100.00	58	42	86	86	49	81	98	68	40	65	70	71	65	78	80	55	42	69	0	28	3	5,700,000$
7	Tyler Bertuzzi		X			100.00	65	50	78	86	56	82	77	70	40	76	63	68	40	78	80	55	42	69	0	28	2	5,000,000$
8	Cam Atkinson			X		100.00	46	38	87	90	41	60	50	73	40	70	76	85	71	90	75	25	36	69	0	34	2	1$
9	David Kampf	X				100.00	61	50	88	79	64	80	99	59	87	60	57	82	40	78	79	55	42	68	0	28	5	2,500,000$
10	Casey Cizikas	X				100.00	94	50	77	80	54	79	98	56	88	55	56	81	73	86	83	35	42	68	0	32	2	2,800,000$
11	Steven Lorentz	X				100.00	79	54	86	75	72	74	98	55	83	49	60	81	40	76	75	60	24	66	0	27	3	2,500,000$
12	Brian Dumoulin				X	100.00	75	54	86	76	73	84	99	58	40	64	52	85	40	86	85	35	39	74	0	32	3	3,250,000$
13	Cam Fowler				X	100.00	45	54	87	84	73	90	99	72	40	78	65	76	73	86	88	35	46	74	0	32	1	5,000,000$
14	Shea Theodore				X	100.00	47	50	83	89	64	85	81	79	40	89	68	81	85	78	82	55	33	74	0	28	5	7,500,000$
15	Justin Holl				X	100.00	84	53	80	76	66	84	98	55	40	56	53	84	40	84	84	40	42	73	0	31	3	3,678,000$
16	David Savard				X	100.00	63	58	77	77	81	87	85	59	40	62	56	79	40	88	88	30	44	72	0	33	2	2,900,000$
17	Oliver Ekman-Larsson				X	100.00	65	50	82	80	65	84	80	62	40	70	55	62	60	86	85	35	42	68	0	32	3	3,250,000$
Rayé
1	Vincent Trocheck	X				100.00	92	48	76	91	51	87	99	77	91	82	72	74	75	82	85	45	32	76	0	30	3	5,250,000$
2	Derek Ryan	X				100.00	56	43	83	80	50	74	98	55	85	47	63	81	65	96	85	10	33	66	0	37	3	2,000,000$
3	Pontus Holmberg (R)			X		100.00	55	49	80	80	62	72	68	59	78	58	61	63	40	70	71	75	18	62	0	24	2	750,000$
Équipe Mineure
1	Ryan Donato	X				100.00	63	51	77	82	56	74	92	61	77	55	66	69	81	76	75	60	40	66	0	27	1	1,540,000$
2	Riley Nash	X				100.00	62	47	79	81	59	75	65	62	70	63	60	70	90	90	83	25	40	65	0	34	1	2,000,000$
3	Andrew Cogliano	X				100.00	56	41	79	81	47	76	97	55	40	49	60	77	40	94	85	15	40	64	0	36	3	2,000,000$
4	Tyler Pitlick	X				100.00	80	50	85	77	65	72	85	56	40	52	59	70	40	86	79	35	40	64	0	32	3	1,500,000$
5	MacKenzie Entwistle			X		100.00	85	47	86	75	59	74	88	51	82	47	55	68	40	70	72	75	34	61	0	24	1	770,000$
6	Adam Brooks	X				100.00	50	43	79	78	51	63	53	52	70	58	45	67	40	76	70	60	40	58	0	27	1	975,000$
7	Nikita Korostelev			X		100.00	63	59	82	75	64	60	50	47	40	30	50	52	99	74	67	65	34	53	0	26	1	935,000$
8	Scott Harrington				X	100.00	67	51	86	77	67	77	74	57	40	53	61	73	40	82	80	45	40	67	0	30	3	2,000,000$
9	Jordan Oesterle				X	100.00	58	49	83	78	55	76	79	54	40	54	55	67	40	84	80	40	40	65	0	31	3	825,000$
10	Trevor Carrick				X	100.00	52	47	75	80	67	64	59	62	40	62	61	70	40	80	72	50	40	64	0	29	3	1,000,000$
11	Mike Reilly				X	100.00	89	48	86	75	61	77	50	49	40	48	50	60	40	82	80	45	40	63	0	30	3	2,000,000$
12	Colton White				X	100.00	57	46	87	76	57	74	75	50	40	51	50	65	40	74	74	65	34	62	0	26	1	1,400,000$
13	Colton Poolman				X	100.00	71	66	88	75	61	68	63	35	40	35	34	70	40	78	73	55	34	60	0	28	3	750,000$
14	Reilly Walsh				X	100.00	60	52	79	77	54	75	70	51	40	57	46	54	40	70	73	75	40	60	0	24	1	1,500,000$
15	Jonathan Aspirot				X	100.00	61	65	60	75	66	55	50	43	40	41	44	64	40	70	63	75	34	57	0	24	3	750,000$
16	Jake Massie				X	100.00	58	62	81	75	63	55	50	36	40	38	33	64	40	74	65	65	34	56	0	26	1	770,000$
17	Connor Bunnaman	X				100.00	67	51	74	75	67	70	60	40	70	29	52	70	40	72	71	70	20	56	0	25	1	847,000$
18	Ty Smith				X	100.00	56	42	80	80	49	55	50	54	40	56	52	52	40	68	62	80	20	56	0	23	1	925,000$
19	Damir Sharipzianov				X	100.00	54	64	86	75	68	45	50	46	40	50	42	50	40	76	61	60	20	55	0	27	1	847,000$
20	Chaz Reddekopp				X	100.00	81	81	77	75	82	50	50	31	40	32	30	50	40	74	62	65	20	55	0	26	1	847,000$
21	Cole Hults				X	100.00	66	56	77	75	56	53	53	41	40	35	46	50	40	72	63	70	20	54	0	25	1	847,000$
22	Jesper Lindgren				X	100.00	56	56	84	75	51	50	50	38	40	41	34	50	40	74	62	65	20	52	0	26	1	770,000$

	MOYENNE D’ÉQUIPE					100.00	66	52	81	80	61	73	76	57	53	56	57	69	53	80	77	50	36	65

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	Tristan Jarry	100.00	90	87	91	88	83	81	78	79	80	79	91	78	80	55	35	80	0	28	4	5,000,000$
2	Jake Allen	100.00	85	81	86	88	65	64	62	63	63	61	94	88	76	30	63	70	0	33	2	1,500,000$
Rayé
Équipe Mineure
1	Jiri Patera	100.00	81	57	60	95	52	53	54	55	52	52	60	70	62	75	61	60	0	24	1	750,000$
2	Dereck Baribeau	100.00	75	50	60	97	50	50	50	50	50	50	70	70	60	75	48	58	0	24	1	632,500$
3	Eetu Makiniemi	100.00	88	50	60	86	50	50	50	50	50	50	60	70	60	75	20	57	0	24	1	750,000$

	MOYENNE D’ÉQUIPE	100.00	84	65	71	91	60	60	59	59	59	58	75	75	68	62	45	65

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rick Bowness	79	90	79	87	99	81	32	CAN	69	3	2,000,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

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

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

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

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Nom du joueur	Nom de l’équipe	POS	Âge	Date de naissance	Nouveau joueur	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Contrat	Type	2037	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	2038	2039	2040	2041	2042	Link
Alex Iafallo	Capitals	LW	30	1993-12-21	No	200 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	1,333,333$	No	UFA					Lien / Lien NHL
Blake Wheeler	Capitals	RW	37	1986-08-31	No	220 Lbs	6 ft5	No	No	Yes	2	Pro & Farm	5,000,000$	5,000,000$	1,666,667$	No	5,000,000$	UFA				Lien / Lien NHL
Boone Jenner	Capitals	C	30	1993-06-15	No	203 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	4,000,000$	4,000,000$	1,333,333$	No	UFA					Lien / Lien NHL
Brian Dumoulin	Capitals	D	32	1991-09-06	No	207 Lbs	6 ft4	No	No	Yes	3	Pro & Farm	3,250,000$	3,250,000$	1,083,333$	No	3,250,000$	3,250,000$	UFA			Lien / Lien NHL
Cam Atkinson	Capitals	RW	34	1989-06-05	No	176 Lbs	5 ft8	No	No	Yes	2	Pro Only	1$	1$	0$	No	6,250,000$	UFA				Lien / Lien NHL
Cam Fowler	Capitals	D	32	1991-12-05	No	215 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	5,000,000$	5,000,000$	1,666,667$	No	UFA					Lien / Lien NHL
Casey Cizikas	Capitals	C	32	1991-02-27	No	190 Lbs	5 ft11	No	No	Yes	2	Pro & Farm	2,800,000$	2,800,000$	933,333$	No	2,800,000$	UFA				Lien / Lien NHL
David Kampf	Capitals	C	28	1995-01-12	No	197 Lbs	6 ft2	No	No	Yes	5	Pro & Farm	2,500,000$	2,500,000$	833,333$	No	2,500,000$	2,500,000$	2,500,000$	2,500,000$	UFA	Lien / Lien NHL
David Savard	Capitals	D	33	1990-10-22	No	235 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	2,900,000$	2,900,000$	966,667$	No	2,900,000$	UFA				Lien / Lien NHL
Derek Ryan	Capitals	C	37	1986-12-29	No	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	2,000,000$	2,000,000$	666,667$	No	2,000,000$	2,000,000$	UFA			Lien / Lien NHL
Jake Allen	Capitals	G	33	1990-08-07	No	190 Lbs	6 ft2	Yes	No	No	2	Pro & Farm	1,500,000$	1,500,000$	500,000$	No	1,500,000$	UFA				Lien / Lien NHL
Jason Zucker	Capitals	LW	31	1992-01-16	No	192 Lbs	5 ft11	No	No	Yes	3	Pro & Farm	3,000,000$	3,000,000$	1,000,000$	No	3,000,000$	3,000,000$	UFA			Lien / Lien NHL
Justin Holl	Capitals	D	31	1992-01-30	No	197 Lbs	6 ft3	No	No	Yes	3	Pro & Farm	3,678,000$	3,678,000$	1,226,000$	No	3,678,000$	3,678,000$	UFA			Lien / Lien NHL
Michael Bunting	Capitals	LW	28	1995-09-17	No	192 Lbs	6 ft0	No	No	Yes	4	Pro & Farm	4,500,000$	4,500,000$	1,500,000$	No	4,500,000$	4,500,000$	4,500,000$	UFA		Lien / Lien NHL
Oliver Bjorkstrand	Capitals	RW	28	1995-04-10	No	175 Lbs	6 ft0	No	No	Yes	3	Pro Only	5,700,000$	5,700,000$	1,900,000$	No	5,700,000$	5,700,000$	UFA			Lien / Lien NHL
Oliver Ekman-Larsson	Capitals	D	32	1991-07-17	No	200 Lbs	6 ft2	No	No	Yes	3	Pro & Farm	3,250,000$	3,250,000$	1,083,333$	No	3,250,000$	3,250,000$	UFA			Lien / Lien NHL
Pontus Holmberg	Capitals	RW	24	1999-03-09	Yes	202 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	750,000$	250,000$	No	750,000$	RFA				Lien NHL
Shea Theodore	Capitals	D	28	1995-08-03	No	197 Lbs	6 ft2	No	No	Yes	5	Pro Only	7,500,000$	7,500,000$	2,500,000$	No	7,500,000$	7,500,000$	7,500,000$	7,500,000$	UFA	Lien / Lien NHL
Steven Lorentz	Capitals	C	27	1996-04-13	No	206 Lbs	6 ft4	No	No	Yes	3	Pro & Farm	2,500,000$	2,500,000$	833,333$	No	2,500,000$	2,500,000$	UFA			Lien / Lien NHL
Tristan Jarry	Capitals	G	28	1995-04-29	No	185 Lbs	6 ft2	No	No	Yes	4	Pro & Farm	5,000,000$	5,000,000$	1,666,667$	No	5,000,000$	5,000,000$	5,000,000$	UFA		Lien / Lien NHL
Tyler Bertuzzi	Capitals	LW	28	1995-02-24	No	186 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	5,000,000$	5,000,000$	1,666,667$	No	5,000,000$	UFA				Lien / Lien NHL
Vincent Trocheck	Capitals	C	30	1993-07-11	No	184 Lbs	5 ft11	No	No	Yes	3	Pro Only	5,250,000$	5,250,000$	1,750,000$	No	5,250,000$	5,250,000$	UFA			Lien / Lien NHL

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
22	30.59	197 Lbs	6 ft1	2.68	3,594,455$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
79,078,001$	72,328,000$	48,128,000$	19,500,000$	10,000,000$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jason Zucker		Blake Wheeler	40	1	2	2
2	Alex Iafallo	Boone Jenner	Oliver Bjorkstrand	30	1	2	2
3	Michael Bunting	David Kampf	Cam Atkinson	20	1	2	2
4	Tyler Bertuzzi	Casey Cizikas		10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brian Dumoulin	Shea Theodore	40	1	2	2
2	Cam Fowler	Justin Holl	30	1	2	2
3	David Savard	Oliver Ekman-Larsson	20	1	2	2
4	Brian Dumoulin	Shea Theodore	10	1	2	2

Attaque en svantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Jason Zucker		Blake Wheeler	60	1	2	2
2	Alex Iafallo	Boone Jenner	Oliver Bjorkstrand	40	1	2	2

Défense en svantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brian Dumoulin	Shea Theodore	60	1	2	2
2	Cam Fowler	Justin Holl	40	1	2	2

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1		Blake Wheeler	60	1	2	2
2	Boone Jenner	Jason Zucker	40	1	2	2

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brian Dumoulin	Shea Theodore	60	1	2	2
2	Cam Fowler	Justin Holl	40	1	2	2

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1		60	1	2	2	Brian Dumoulin	Shea Theodore	60	1	2	2
2	Blake Wheeler	40	1	2	2	Cam Fowler	Justin Holl	40	1	2	2

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

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Brian Dumoulin	Shea Theodore	60	1	2	2
2	Cam Fowler	Justin Holl	40	1	2	2

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jason Zucker		Blake Wheeler	Brian Dumoulin	Shea Theodore

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Jason Zucker		Blake Wheeler	Brian Dumoulin	Shea Theodore

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Steven Lorentz, Michael Bunting, Tyler Bertuzzi	Steven Lorentz, Michael Bunting	Tyler Bertuzzi

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
David Savard, Oliver Ekman-Larsson, Cam Fowler	David Savard	Oliver Ekman-Larsson, Cam Fowler

Tirs de pénalité
, Blake Wheeler, Boone Jenner, Jason Zucker, Alex Iafallo

Gardien
#1 : Tristan Jarry, #2 : Jake Allen

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

Alex Iafallo

AGE:30
SK:		86
EN:		82
DU:		83
PH:		70
PA:		71
SC:		69
DF:		83
Jason Zucker

AGE:31
SK:		87
EN:		81
DU:		96
PH:		70
PA:		62
SC:		78
DF:		68
Michael Bunting

AGE:28
SK:		86
EN:		81
DU:		99
PH:		70
PA:		66
SC:		73
DF:		70
Tyler Bertuzzi

AGE:28
SK:		86
EN:		82
DU:		77
PH:		70
PA:		76
SC:		63
DF:		68

Vincent Trocheck

AGE:30
SK:		91
EN:		87
DU:		99
PH:		77
PA:		82
SC:		72
DF:		74
Boone Jenner

AGE:30
SK:		85
EN:		89
DU:		89
PH:		72
PA:		63
SC:		81
DF:		80
David Kampf

AGE:28
SK:		79
EN:		80
DU:		99
PH:		59
PA:		60
SC:		57
DF:		82
Casey Cizikas

AGE:32
SK:		80
EN:		79
DU:		98
PH:		56
PA:		55
SC:		56
DF:		81
Ryan Donato

AGE:27
SK:		82
EN:		74
DU:		92
PH:		61
PA:		55
SC:		66
DF:		69
Steven Lorentz

AGE:27
SK:		75
EN:		74
DU:		98
PH:		55
PA:		49
SC:		60
DF:		81
Derek Ryan

AGE:37
SK:		80
EN:		74
DU:		98
PH:		55
PA:		47
SC:		63
DF:		81
Riley Nash

AGE:34
SK:		81
EN:		75
DU:		65
PH:		62
PA:		63
SC:		60
DF:		70
Tyler Pitlick

AGE:32
SK:		77
EN:		72
DU:		85
PH:		56
PA:		52
SC:		59
DF:		70
Andrew Cogliano

AGE:36
SK:		81
EN:		76
DU:		97
PH:		55
PA:		49
SC:		60
DF:		77
Adam Brooks

AGE:27
SK:		78
EN:		63
DU:		53
PH:		52
PA:		58
SC:		45
DF:		67
Connor Bunnaman

AGE:25
SK:		75
EN:		70
DU:		60
PH:		40
PA:		29
SC:		52
DF:		70

Blake Wheeler

AGE:37
SK:		84
EN:		83
DU:		92
PH:		76
PA:		84
SC:		68
DF:		72
Oliver Bjorkstrand

AGE:28
SK:		86
EN:		81
DU:		98
PH:		68
PA:		65
SC:		70
DF:		71
Cam Atkinson

AGE:34
SK:		90
EN:		60
DU:		50
PH:		73
PA:		70
SC:		76
DF:		85
Pontus Holmberg (R)

AGE:24
SK:		80
EN:		72
DU:		68
PH:		59
PA:		58
SC:		61
DF:		63
MacKenzie Entwistle

AGE:24
SK:		75
EN:		74
DU:		88
PH:		51
PA:		47
SC:		55
DF:		68
Nikita Korostelev

AGE:26
SK:		75
EN:		60
DU:		50
PH:		47
PA:		30
SC:		50
DF:		52

Défense #1

Défense #2

Gardien

Shea Theodore

AGE:28
SK:		89
EN:		85
DU:		81
PH:		79
PA:		89
SC:		68
DF:		81
Brian Dumoulin

AGE:32
SK:		76
EN:		84
DU:		99
PH:		58
PA:		64
SC:		52
DF:		85
Cam Fowler

AGE:32
SK:		84
EN:		90
DU:		99
PH:		72
PA:		78
SC:		65
DF:		76
Justin Holl

AGE:31
SK:		76
EN:		84
DU:		98
PH:		55
PA:		56
SC:		53
DF:		84
David Savard

AGE:33
SK:		77
EN:		87
DU:		85
PH:		59
PA:		62
SC:		56
DF:		79
Oliver Ekman-Larsson

AGE:32
SK:		80
EN:		84
DU:		80
PH:		62
PA:		70
SC:		55
DF:		62
Scott Harrington

AGE:30
SK:		77
EN:		77
DU:		74
PH:		57
PA:		53
SC:		61
DF:		73
Jordan Oesterle

AGE:31
SK:		78
EN:		76
DU:		79
PH:		54
PA:		54
SC:		55
DF:		67
Trevor Carrick

AGE:29
SK:		80
EN:		64
DU:		59
PH:		62
PA:		62
SC:		61
DF:		70
Mike Reilly

AGE:30
SK:		75
EN:		77
DU:		50
PH:		49
PA:		48
SC:		50
DF:		60

Colton White

AGE:26
SK:		76
EN:		74
DU:		75
PH:		50
PA:		51
SC:		50
DF:		65
Reilly Walsh

AGE:24
SK:		77
EN:		75
DU:		70
PH:		51
PA:		57
SC:		46
DF:		54
Colton Poolman

AGE:28
SK:		75
EN:		68
DU:		63
PH:		35
PA:		35
SC:		34
DF:		70
Jonathan Aspirot

AGE:24
SK:		75
EN:		55
DU:		50
PH:		43
PA:		41
SC:		44
DF:		64
Ty Smith

AGE:23
SK:		80
EN:		55
DU:		50
PH:		54
PA:		56
SC:		52
DF:		52
Jake Massie

AGE:26
SK:		75
EN:		55
DU:		50
PH:		36
PA:		38
SC:		33
DF:		64
Chaz Reddekopp

AGE:26
SK:		75
EN:		50
DU:		50
PH:		31
PA:		32
SC:		30
DF:		50
Damir Sharipzianov

AGE:27
SK:		75
EN:		45
DU:		50
PH:		46
PA:		50
SC:		42
DF:		50
Cole Hults

AGE:25
SK:		75
EN:		53
DU:		53
PH:		41
PA:		35
SC:		46
DF:		50
Jesper Lindgren

AGE:26
SK:		75
EN:		50
DU:		50
PH:		38
PA:		41
SC:		34
DF:		50

Tristan Jarry

AGE:28
SK:		90
AG:		83
RB:		81
SC:		78
HS:		79
RT:		80
DF:		79
Jake Allen

AGE:33
SK:		85
AG:		65
RB:		64
SC:		62
HS:		63
RT:		63
DF:		61
Jiri Patera

AGE:24
SK:		81
AG:		52
RB:		53
SC:		54
HS:		55
RT:		52
DF:		52
Dereck Baribeau

AGE:24
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Eetu Makiniemi

AGE:24
SK:		88
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
Benjamin Mirageas	Capitals	2031	123
Eric Engstrand	Capitals	2034	188
Fedor Gordeev	Capitals	2031	183
Giovanni Vallati	Capitals	2032	191
Mikael Pyyhtia	Capitals	2034	140
Roman Durny	Capitals	2032	185
Scott Walford	Capitals	2031	108
Sebastian Walfridsson	Capitals	2031	195
Vladislav Kara	Capitals	2031	164

Choix au repêchage

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

Capitals 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	Mario Bliznak	1564	253	412	665	-113	1123	2058	2004	2859	8.85%	855	25521	16.32	39	63	102	212	7	13	20	59	32	16	49.07%	3	0.52	18	69
2	Patrick Marleau	636	281	309	590	-3	358	804	1454	2389	11.76%	185	15686	24.66	71	99	170	566	5	6	11	71	43	21	53.56%	6	0.75	15	54
3	Andy Greene	656	141	371	512	15	556	782	1002	1394	10.11%	1073	15647	23.85	88	127	215	850	4	9	13	14	22	5	0.00%	2	0.65	0	0
4	Saku Koivu	482	168	252	420	10	189	581	1244	1574	10.67%	149	9535	19.78	35	83	118	255	6	3	9	31	34	7	54.39%	4	0.88	10	33
5	Daniel Alfredsson	449	192	224	416	18	210	453	917	1672	11.48%	186	9580	21.34	39	63	102	282	6	4	10	45	30	10	36.70%	4	0.87	7	35

Capitals 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	Tristan Jarry	288	154	104	25	0.897	3.11	16728	24	9	866	8396	0	10	6	0.740	96
2	Jonathan Quick	275	142	108	19	0.906	2.97	16188	22	6	802	8533	921	17	6	0.848	105
3	Jonathan Bernier	240	88	124	22	0.888	3.56	13655	14	8	811	7229	0	11	3	0.671	70
4	Marc-Andre Fleury	145	77	45	20	0.915	2.57	8662	10	3	371	4370	1811	11	4	0.766	64
5	Jeff Glass	101	48	41	4	0.895	3.46	5598	10	3	323	3074	0	1	2	0.875	16

Capitals 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	22	34	0	4	6	8	8	241	275	-34	41	9	19	0	1	3	4	5	110	141	-31	41	13	15	0	3	3	4	3	131	134	-3	58	241	389	630	0	1	0	62	82	85	2664	0	810	927	897	2576	837	1080	1951	240	38	15.83%	271	48	82.29%	7	1046	2068	50.58%	961	1980	48.54%	663	1374	48.25%	1724	960	1926	850	1531	751
2018	82	37	24	0	2	7	5	7	258	221	37	41	18	14	0	1	3	1	4	124	108	16	41	19	10	0	1	4	4	3	134	113	21	85	258	419	677	2	1	0	81	87	83	2824	0	920	975	908	2562	859	638	1967	220	33	15.00%	112	18	83.93%	0	1092	2113	51.68%	977	1885	51.83%	641	1300	49.31%	1827	1089	1685	736	1478	738
2019	82	37	27	0	5	5	3	5	246	224	22	41	14	16	0	4	2	3	2	120	116	4	41	23	11	0	1	3	0	3	126	108	18	89	246	387	633	2	3	0	57	92	89	2646	0	806	963	861	2514	834	971	1911	203	42	20.69%	235	32	86.38%	9	1005	2067	48.62%	1019	2081	48.97%	577	1219	47.33%	1701	951	1755	779	1518	732
2020	82	39	22	0	5	3	7	6	281	223	58	41	22	12	0	3	1	1	2	142	105	37	41	17	10	0	2	2	6	4	139	118	21	91	281	442	723	2	1	0	71	105	93	2655	0	794	1013	818	2518	812	941	1957	258	44	17.05%	205	42	79.51%	8	1078	2129	50.63%	1003	2073	48.38%	568	1206	47.10%	1754	989	1721	768	1521	753
2021	82	32	40	0	1	2	5	2	220	262	-42	41	18	18	0	0	0	4	1	115	125	-10	41	14	22	0	1	2	1	1	105	137	-32	68	220	383	603	2	3	0	84	71	59	2436	0	822	810	781	2554	767	935	1728	394	58	14.72%	391	72	81.59%	5	1581	2937	53.83%	1551	3052	50.82%	652	1220	53.44%	1883	1286	2048	620	1029	500
2022	82	34	36	0	2	2	5	3	260	272	-12	41	20	15	0	2	1	2	1	142	118	24	41	14	21	0	0	1	3	2	118	154	-36	74	260	437	697	0	1	0	89	90	74	2526	0	773	868	863	2749	770	965	1755	425	66	15.53%	396	81	79.55%	5	1560	3020	51.66%	1636	3251	50.32%	685	1290	53.10%	1832	1229	2103	640	1034	500
2023	82	39	35	0	0	1	6	1	291	284	7	41	18	17	0	0	0	5	1	140	128	12	41	21	18	0	0	1	1	0	151	156	-5	79	291	512	803	3	2	0	94	95	96	2678	0	923	867	872	2818	811	1071	1926	433	92	21.25%	465	94	79.78%	7	1492	3088	48.32%	1514	3206	47.22%	643	1363	47.18%	1841	1230	2078	626	1036	509
2024	82	29	41	0	1	4	2	5	236	268	-32	41	14	21	0	1	2	2	1	117	140	-23	41	15	20	0	0	2	0	4	119	128	-9	73	236	410	646	2	3	0	91	78	64	2533	0	833	852	830	2666	812	1164	1863	410	83	20.24%	468	87	81.41%	4	1565	3001	52.15%	1502	3130	47.99%	641	1272	50.39%	1835	1212	2093	637	1036	502
2025	82	38	28	0	2	4	8	2	285	261	24	41	18	14	0	2	2	3	2	131	128	3	41	20	14	0	0	2	5	0	154	133	21	102	285	505	790	5	2	0	113	70	92	2505	0	827	795	858	2447	708	1032	1835	448	97	21.65%	432	92	78.70%	3	1622	2994	54.18%	1535	2894	53.04%	707	1331	53.12%	2035	1402	1906	614	1041	524
2026	82	36	34	0	3	2	3	4	266	261	5	41	18	19	0	1	2	0	1	130	133	-3	41	18	15	0	2	0	3	3	136	128	8	90	266	472	738	1	4	0	96	92	72	2538	0	846	810	867	2371	700	886	1757	453	102	22.52%	377	82	78.25%	1	1687	3035	55.58%	1567	2877	54.47%	755	1344	56.18%	2056	1415	1854	619	1050	537
2027	82	26	48	0	1	2	4	1	215	305	-90	41	14	24	0	0	1	1	1	118	157	-39	41	12	24	0	1	1	3	0	97	148	-51	65	215	367	582	0	4	0	76	54	80	2145	0	698	692	746	2757	743	1151	1832	420	61	14.52%	460	110	76.09%	4	1286	2640	48.71%	1531	3115	49.15%	663	1312	50.53%	1823	1223	2093	644	1030	488
2030	82	18	51	0	0	5	1	7	201	345	-144	41	12	22	0	0	2	1	4	119	172	-53	41	6	29	0	0	3	0	3	82	173	-91	50	201	354	555	1	3	0	80	64	56	2367	0	759	774	805	2764	811	981	1818	437	62	14.19%	427	99	76.81%	4	1503	2912	51.61%	1596	2991	53.36%	668	1334	50.07%	1861	1240	2048	639	1062	519
2031	82	23	47	0	1	1	3	7	236	329	-93	41	10	25	0	1	1	2	2	124	177	-53	41	13	22	0	0	0	1	5	112	152	-40	62	236	416	652	1	1	0	92	72	68	2492	0	840	798	824	2878	866	1066	1900	402	88	21.89%	440	118	73.18%	1	1499	2932	51.13%	1613	3265	49.40%	690	1330	51.88%	1797	1199	2128	642	1046	501
2032	82	40	29	0	3	1	5	4	278	236	42	41	21	12	0	1	1	2	4	139	109	30	41	19	17	0	2	0	3	0	139	127	12	101	278	491	769	0	4	0	111	77	82	2593	0	875	838	857	2420	693	892	1744	417	81	19.42%	401	72	82.04%	6	1661	2994	55.48%	1633	2977	54.85%	729	1303	55.95%	2030	1408	1904	616	1038	524
2033	82	20	43	0	3	0	9	7	207	273	-66	41	11	22	0	1	0	2	5	98	139	-41	41	9	21	0	2	0	7	2	109	134	-25	71	207	362	569	2	1	0	80	64	51	2304	0	782	747	746	2707	806	989	1872	397	70	17.63%	424	73	82.78%	2	1388	2848	48.74%	1506	3170	47.51%	606	1230	49.27%	1857	1240	2106	631	1040	505
2034	82	39	31	0	1	0	5	6	270	274	-4	41	20	17	0	0	0	1	3	127	141	-14	41	19	14	0	1	0	4	3	143	133	10	96	270	476	746	2	1	0	101	91	72	2760	0	907	868	967	2531	781	900	1843	392	76	19.39%	389	77	80.21%	5	1720	3138	54.81%	1564	2995	52.22%	720	1380	52.17%	1997	1365	1931	619	1048	528
2035	82	35	33	0	3	2	6	3	262	263	-1	41	20	14	0	1	2	3	1	142	128	14	41	15	19	0	2	0	3	2	120	135	-15	93	262	465	727	3	2	0	95	90	68	2590	0	870	872	817	2475	717	875	1698	418	76	18.18%	385	72	81.30%	4	1582	2976	53.16%	1471	2880	51.08%	667	1341	49.74%	1963	1360	1975	618	1038	514
2036	82	45	24	0	3	7	0	3	319	239	80	41	22	12	0	2	4	0	1	149	109	40	41	23	12	0	1	3	0	2	170	130	40	106	319	584	903	0	4	0	115	107	94	2714	0	918	858	915	2517	719	859	1694	420	97	23.10%	365	63	82.74%	3	1637	2970	55.12%	1445	2951	48.97%	713	1320	54.02%	2016	1405	1916	596	1029	519
2037	82	37	33	0	2	4	3	3	289	280	9	41	17	16	0	0	2	3	3	151	146	5	41	20	17	0	2	2	0	0	138	134	4	91	289	522	811	3	4	103	100	81	6	2624	841	909	858	38	2488	692	894	1651	431	95	22.04%	376	80	78.72%	2	1519	2985	50.89%	1478	2813	52.54%	710	1357	52.32%	2023	1399	1903	606	1032	523
Total Saison régulière	1558	626	660	0	42	58	88	84	4861	5095	-234	779	316	329	0	21	29	40	44	2438	2520	-82	779	310	331	0	21	29	48	40	2423	2575	-152	1544	4861	8393	13254	31	45	103	1688	1562	1384	48594	841	15912	16185	15270	49312	14738	18290	34702	7218	1361	18.86%	7019	1412	79.88%	80	27523	52847	52.08%	27102	53586	50.58%	12698	24826	51.15%	35866	23608	37181	12511	21647	10676
Séries éliminatoires
2018	6	2	4	0	0	0	0	0	18	18	0	3	0	3	0	0	0	0	0	5	11	-6	3	2	1	0	0	0	0	0	13	7	6	4	18	30	48	0	0	0	7	6	5	222	0	71	71	69	197	76	96	151	9	1	11.11%	16	5	68.75%	0	98	189	51.85%	82	159	51.57%	55	99	55.56%	134	80	138	53	105	53
2019	5	1	4	0	0	0	0	0	10	14	-4	3	0	3	0	0	0	0	0	3	7	-4	2	1	1	0	0	0	0	0	7	7	0	2	10	16	26	1	0	0	3	6	1	151	0	45	55	48	173	41	84	117	15	1	6.67%	18	1	94.44%	0	62	129	48.06%	63	121	52.07%	34	71	47.89%	102	55	111	47	89	43
2020	5	1	4	0	0	0	0	0	12	18	-6	3	0	3	0	0	0	0	0	8	14	-6	2	1	1	0	0	0	0	0	4	4	0	2	12	22	34	0	1	0	4	4	4	173	0	35	71	67	155	49	49	115	14	1	7.14%	5	0	100.00%	1	66	138	47.83%	53	110	48.18%	35	74	47.30%	111	66	98	43	89	45
2023	7	3	4	0	0	0	0	0	21	30	-9	3	2	1	0	0	0	0	0	9	9	0	4	1	3	0	0	0	0	0	12	21	-9	6	21	37	58	0	0	0	4	10	4	244	0	64	87	61	262	72	120	188	42	6	14.29%	46	10	78.26%	1	143	315	45.40%	149	314	47.45%	72	126	57.14%	176	109	220	66	108	52
2025	12	5	7	0	0	0	0	0	46	55	-9	6	3	3	0	0	0	0	0	19	22	-3	6	2	4	0	0	0	0	0	27	33	-6	10	46	81	127	0	0	0	20	12	14	374	0	116	94	126	494	128	197	292	58	15	25.86%	78	19	75.64%	1	244	454	53.74%	278	550	50.55%	100	229	43.67%	295	198	318	97	164	79
2032	6	2	4	0	0	0	0	0	14	19	-5	3	0	3	0	0	0	0	0	7	14	-7	3	2	1	0	0	0	0	0	7	5	2	4	14	24	38	0	1	0	4	4	6	174	0	61	59	54	163	49	60	133	28	2	7.14%	30	6	80.00%	0	122	217	56.22%	100	206	48.54%	57	90	63.33%	156	110	128	43	75	39
2034	12	5	7	0	0	0	0	0	41	43	-2	5	2	3	0	0	0	0	0	19	17	2	7	3	4	0	0	0	0	0	22	26	-4	10	41	71	112	1	0	0	14	17	10	393	0	119	133	139	379	119	158	250	71	8	11.27%	53	15	71.70%	0	261	475	54.95%	225	427	52.69%	110	206	53.40%	288	194	287	91	153	78
2035	7	3	4	0	0	0	0	0	31	36	-5	3	1	2	0	0	0	0	0	9	14	-5	4	2	2	0	0	0	0	0	22	22	0	6	31	53	84	0	0	0	11	12	8	210	0	64	76	70	255	66	64	143	35	8	22.86%	26	7	73.08%	0	132	254	51.97%	146	267	54.68%	81	149	54.36%	154	103	178	52	87	42
2036	6	2	4	0	0	0	0	0	17	27	-10	3	1	2	0	0	0	0	0	7	15	-8	3	1	2	0	0	0	0	0	10	12	-2	4	17	29	46	0	0	0	7	7	2	225	0	64	77	67	209	61	72	132	35	5	14.29%	30	11	63.33%	0	131	254	51.57%	107	239	44.77%	45	101	44.55%	152	108	144	43	77	39
Total Séries éliminatoires	66	24	42	0	0	0	0	0	210	260	-50	32	9	23	0	0	0	0	0	86	123	-37	34	15	19	0	0	0	0	0	124	137	-13	48	210	363	573	2	2	0	74	78	54	2166	0	639	723	701	2287	661	900	1521	307	47	15.31%	302	74	75.50%	3	1259	2425	51.92%	1203	2393	50.27%	589	1145	51.44%	1572	1027	1626	539	950	473

Capitals 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	Patrick Marleau	24	14	9	23	-6	7	20	56	92	15.22%	8	653	27.23	6	2	8	26	3	0	3	5	1	0	50.56%	2	0.70
2	Vincent Trocheck	25	6	16	22	-3	24	72	99	90	6.67%	8	583	23.33	2	6	8	26	0	0	0	0	1	0	53.76%	1	0.75
3	Andy Greene	24	5	16	21	-8	35	31	56	71	7.04%	51	643	26.79	3	6	9	37	0	2	2	1	2	1	0.00%	0	0.65
4	Oliver Bjorkstrand	20	8	13	21	7	8	13	39	73	10.96%	5	398	19.95	1	3	4	17	0	0	0	0	1	1	30.77%	0	1.05
5	Olli Jokinen	19	6	14	20	6	22	49	16	44	13.64%	2	371	19.53	1	7	8	8	0	0	0	0	0	1	42.86%	0	1.08

Capitals Leaders des statistiques des gardiens (séries éliminatoires)

Afficher ou masquer des colonnes

#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG
1	Tristan Jarry	24	9	13	2	0.874	4.26	1382	6	98	777	0	2	1
2	Jonathan Bernier	7	3	1	2	0.913	3.36	446	2	25	287	0	1	0
3	Marc-Andre Fleury	11	3	5	3	0.918	2.74	636	0	29	352	143	0	1
4	Jeff Glass	7	3	3	1	0.891	3.42	456	0	26	238	0	1	0
5	Vadim Tarasov	6	2	4	0	0.853	5.51	327	2	30	204	0	1	0