Canadian Hockey League

Spiders
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Team Leaders

Team Stats

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Yann Aussant
	Coach	Ryan Huska
	Division	Metropolitan
	Conference	Eastern
	Captain
	Assistant #1
	Assistant #2
Uniforms

Arena Info
	Name	Cormster Arena
	Capacity	25,000
	Attendance
	Season Tickets	10,000
Roster Info
	Pro Team	25
	Farm Team	27
	Contract Limit	52 / 50
	Prospects	7
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	90,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	14
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	-2,335,540$
	Projected Bank Account	-2,335,540$
Team History
	This Season	0-0-0 (0PTS)
	History	801-765-138 (0.470%)
	Playoff Appearances	9
	Playoff Record (W-L)	24-42
	Stanley Cup	0

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Philipp Kurashev	X				100.00	62	46	83	83	56	80	72	64	78	65	63	70	83	78	79	55	20	67	0	26	3	5,000,000$
2	David Perron		X			100.00	72	49	78	82	62	77	87	63	40	59	66	63	75	99	88	0	20	67	0	37	0	0$
3	Zemgus Girgensons	X				100.00	99	53	82	77	66	79	94	56	80	52	60	72	69	88	84	30	20	67	0	31	0	0$
4	Mathieu Joseph			X		100.00	93	51	86	78	58	74	78	54	40	54	53	75	40	82	78	45	20	64	0	28	2	3,500,000$
5	Nick Bjugstad	X				100.00	81	60	79	75	78	73	85	51	85	44	58	70	79	92	83	20	20	64	0	33	2	3,900,000$
6	Nils Hoglander		X			100.00	72	42	86	78	48	74	69	50	40	46	54	69	40	76	75	60	20	60	0	25	0	0$
7	Pierre Engvall		X			100.00	58	57	85	75	79	60	50	55	40	49	61	61	40	84	72	40	20	60	0	29	2	2,000,000$
8	Logan O'Connor			X		100.00	60	42	84	78	49	74	52	51	40	53	50	68	40	84	79	40	20	59	0	29	1	3,000,000$
9	William Borgen				X	100.00	75	54	79	76	67	80	94	55	40	51	58	78	40	84	82	40	20	70	0	29	0	0$
10	Brian Dumoulin				X	100.00	50	56	85	75	77	79	99	54	40	55	53	71	40	94	87	15	20	68	0	34	0	0$
11	Jacob Bernard-Docker				X	100.00	65	51	82	75	61	74	86	49	40	45	52	75	40	76	75	60	20	66	0	25	2	3,000,000$
12	Pierre-Olivier Joseph				X	100.00	54	47	85	77	58	72	64	54	40	53	54	69	40	78	75	55	20	63	0	26	2	2,990,000$
13	Jordan Oesterle				X	100.00	57	44	80	79	58	73	68	56	40	58	55	50	40	92	83	20	20	62	0	33	0	0$
14	Justin Holl				X	100.00	51	51	85	75	72	55	50	40	40	44	36	70	40	92	74	20	20	60	0	33	0	0$
15	Daniil Miromanov				X	100.00	50	54	82	75	69	70	65	52	40	54	51	54	40	82	76	45	20	60	0	28	3	1,975,000$
16	Erik Brannstrom				X	100.00	52	50	78	82	50	55	50	59	40	55	53	61	40	78	67	55	20	60	0	26	0	0$
Scratches
1	Anthony Duclair		X			100.00	43	48	86	82	60	77	85	63	40	60	66	70	58	86	82	35	20	66	0	30	2	3,990,000$
2	James vanRiemsdyk		X			100.00	45	54	86	79	72	74	92	63	40	58	67	64	68	98	86	5	20	66	0	36	1	3,000,000$
3	David Kampf	X				100.00	66	50	84	75	64	79	70	51	87	48	54	76	40	86	83	35	20	63	0	30	2	2,500,000$
4	Brett Leason			X		100.00	64	58	73	75	81	65	55	57	40	64	51	70	40	78	72	55	20	62	0	26	0	0$
5	Rafael Harvey-Pinard		X			100.00	64	41	81	78	42	75	65	49	40	42	56	70	90	78	77	55	20	59	0	26	2	3,750,000$
6	Tobias Bjornfot				X	100.00	57	48	88	79	61	74	56	56	40	49	63	74	40	74	74	65	20	65	0	24	0	0$
7	Oliver Kylington				X	100.00	44	44	82	80	53	55	50	57	40	57	56	57	40	82	69	45	20	59	0	28	0	0$
Farm Team
1	Samuel Blais		X			100.00	99	52	80	79	68	69	57	61	40	60	62	73	99	84	77	40	20	66	0	29	2	2,000,000$
2	Luke Kunin	X				100.00	86	57	75	77	60	71	85	52	84	48	55	72	40	82	77	45	20	63	0	28	1	3,750,000$
3	Liam Ohgren		X			100.00	63	45	89	79	55	77	90	56	40	52	60	72	80	68	73	80	20	63	0	21	2	925,000$
4	Joakim Kemell			X		100.00	77	43	90	79	50	72	54	53	40	50	55	76	40	68	70	80	20	60	0	21	0	0$
5	Tyler Pitlick	X				100.00	97	57	75	75	65	67	65	48	40	40	55	66	40	94	81	15	20	60	0	34	0	0$
6	Samu Tuomaala		X			100.00	50	52	84	76	54	60	50	47	40	55	39	57	40	70	65	75	20	54	0	22	1	925,000$
7	Samuel Savoie (R)		X			100.00	57	45	75	75	52	71	61	42	40	39	46	61	40	68	70	80	20	54	0	21	2	925,000$
8	James Malatesta		X			100.00	99	61	59	75	52	66	56	38	40	32	44	59	40	70	68	75	20	53	0	22	1	925,000$
9	Thomas Bordeleau	X				100.00	50	40	72	75	45	69	59	39	40	36	42	50	65	72	71	70	20	51	0	23	0	0$
10	David Goyette (R)		X			100.00	55	44	61	75	52	60	50	33	40	31	35	63	40	68	64	80	20	49	0	21	2	925,000$
11	Mike Reilly				X	100.00	50	48	78	77	61	74	72	54	40	56	53	79	40	90	82	25	20	66	0	32	0	0$
12	Samuel Bolduc				X	100.00	70	57	83	75	79	72	67	46	40	50	41	70	40	76	74	60	20	64	0	25	2	2,000,000$
13	Trevor Carrick				X	100.00	52	47	67	75	64	63	58	43	40	45	40	70	40	88	76	30	20	60	0	31	0	0$
14	Scott Harrington				X	100.00	67	51	81	75	72	72	67	37	40	39	35	50	40	90	81	25	20	59	0	32	0	0$
15	Jonathon Merrill				X	100.00	54	52	84	75	69	55	50	49	40	45	54	57	40	92	74	20	20	58	0	33	2	2,000,000$
16	Colton Poolman				X	100.00	71	66	86	75	63	55	50	36	40	36	36	60	40	86	71	35	20	57	0	30	0	0$
17	Ty Smith				X	100.00	56	42	71	83	49	55	50	60	40	50	47	54	40	76	66	60	20	57	0	25	0	0$
18	Christian Kyrou				X	100.00	41	39	85	79	50	63	58	52	40	53	51	56	90	70	67	75	20	57	0	22	1	925,000$
19	Ilya Protas (R)	X				100.00	70	54	78	77	86	78	68	64	70	64	64	70	65	64	71	90	20	66	0	19	0	0$
20	Calum Ritchie (R)	X				100.00	46	50	83	81	65	77	87	64	72	61	66	62	40	66	72	85	20	64	0	20	0	0$
21	Matthew Seminoff		X			100.00	52	50	83	79	54	81	71	53	40	50	57	70	40	70	76	75	20	60	0	22	1	925,000$
22	Tyler Boucher			X		100.00	64	60	61	75	73	60	50	48	40	44	51	67	40	70	65	75	20	56	0	22	1	925,000$
23	Juraj Pekarcik (R)		X			100.00	55	41	87	83	68	78	68	46	40	49	43	52	40	66	72	85	20	56	0	20	0	0$
24	David Edstrom (R)	X				100.00	55	44	79	82	66	62	52	42	70	42	42	70	40	66	64	85	20	55	0	20	0	0$
25	Roni Hirvonen	X				100.00	48	50	81	75	46	60	50	40	70	35	44	55	40	72	66	70	20	51	0	23	1	925,000$
26	Zach Dean		X			100.00	48	44	74	75	52	60	50	41	40	43	39	58	40	70	65	75	20	51	0	22	1	925,000$
27	Sam Rinzel (R)				X	100.00	61	51	74	77	66	80	80	57	40	55	59	70	40	68	74	80	20	66	0	21	0	0$

	TEAM AVERAGE					100.00	63	50	80	77	62	70	66	51	47	50	52	66	49	79	75	52	20	61

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Vadim Zherenko	100.00	87	71	72	84	50	50	50	50	50	50	84	74	62	65	20	60	0	24	0	0$
Scratches
1	Hunter Jones	100.00	75	50	60	93	50	50	50	50	50	50	40	76	63	60	20	58	0	25	2	575,000$
Farm Team

	TEAM AVERAGE	100.00	81	61	66	89	50	50	50	50	50	50	62	75	63	63	20	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ryan Huska	85	78	68	71	86	77	68	CAN	51	4	1,000,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	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

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2040	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2041	2042	2043	Link
Anthony Duclair	Capitals	LW	30	1995-08-26	No	198 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	3,990,000$	3,990,000$	3,990,000$	No	3,990,000$	UFA		Link / NHL Link
Brett Leason	Capitals	RW	26	1999-04-30	No	220 Lbs	6 ft5	No	No	No	0	Pro & Farm	RFA	0$	0$	No				Link / NHL Link
Brian Dumoulin	Capitals	D	34	1991-09-06	No	215 Lbs	6 ft4	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No				Link / NHL Link
Daniil Miromanov	Capitals	D	28	1997-07-11	No	200 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,975,000$	1,975,000$	1,975,000$	No	1,975,000$	1,975,000$	UFA	Link / NHL Link
David Kampf	Capitals	C	30	1995-01-12	No	198 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	UFA		Link / NHL Link
David Perron	Capitals	LW	37	1988-05-28	No	202 Lbs	6 ft0	No	No	Yes	0	Pro Only	UFA	0$	0$	No				Link / NHL Link
Erik Brannstrom	Capitals	D	26	1999-09-02	No	185 Lbs	5 ft10	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No				Link / NHL Link
Hunter Jones	Capitals	G	25	2000-09-21	No	202 Lbs	6 ft4	No	No	No	2	Pro & Farm	575,000$	575,000$	575,000$	No	575,000$	RFA		Link / NHL Link
Jacob Bernard-Docker	Capitals	D	25	2000-06-30	No	196 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	3,000,000$	RFA		Link / NHL Link
James vanRiemsdyk	Capitals	LW	36	1989-05-04	No	210 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	UFA			Link / NHL Link
Jordan Oesterle	Capitals	D	33	1992-06-25	No	193 Lbs	6 ft0	No	No	No	0	Pro & Farm	UFA	0$	0$	No				Link / NHL Link
Justin Holl	Capitals	D	33	1992-01-30	No	205 Lbs	6 ft4	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No				Link / NHL Link
Logan O'Connor	Capitals	RW	29	1996-08-14	No	175 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	UFA			Link / NHL Link
Mathieu Joseph	Capitals	RW	28	1997-02-09	No	189 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	3,500,000$	UFA		Link / NHL Link
Nick Bjugstad	Capitals	C	33	1992-07-17	No	210 Lbs	6 ft6	No	No	Yes	2	Pro & Farm	3,900,000$	3,900,000$	3,900,000$	No	3,900,000$	UFA		Link / NHL Link
Nils Hoglander	Capitals	LW	25	2000-12-20	No	185 Lbs	5 ft9	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No				Link / NHL Link
Oliver Kylington	Capitals	D	28	1997-05-19	No	183 Lbs	6 ft0	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No				Link / NHL Link
Philipp Kurashev	Capitals	C	26	1999-10-12	No	190 Lbs	6 ft0	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	UFA	Link / NHL Link
Pierre Engvall	Capitals	LW	29	1996-05-31	No	215 Lbs	6 ft5	No	No	No	2	Pro & Farm	2,000,000$	2,000,000$	2,000,000$	No	2,000,000$	UFA		Link / NHL Link
Pierre-Olivier Joseph	Capitals	D	26	1999-07-01	No	185 Lbs	6 ft2	No	No	Yes	2	Pro & Farm	2,990,000$	2,990,000$	2,990,000$	No	2,990,000$	UFA		Link / NHL Link
Rafael Harvey-Pinard	Capitals	LW	26	1999-01-06	No	173 Lbs	5 ft9	No	No	Yes	2	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	UFA		Link / NHL Link
Tobias Bjornfot	Capitals	D	24	2001-04-06	No	200 Lbs	6 ft0	No	No	Yes	0	Pro & Farm	RFA	0$	0$	No				Link / NHL Link
Vadim Zherenko	Capitals	G	24	2001-03-15	No	176 Lbs	6 ft2	No	No	No	0	Pro & Farm	RFA	0$	0$	No				Link / NHL Link
William Borgen	Capitals	D	29	1996-12-19	No	199 Lbs	6 ft3	No	No	Yes	0	Pro & Farm	UFA	0$	0$	No				Link / NHL Link
Zemgus Girgensons	Capitals	C	31	1994-01-05	No	197 Lbs	6 ft3	No	No	No	0	Pro & Farm	UFA	0$	0$	No				Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	28.84	196 Lbs	6 ft2	1.04	1,567,200$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
39,180,000$	33,180,000$	6,975,000$	0$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			David Perron	40	1	2	2
2	Nils Hoglander	Nick Bjugstad	Logan O'Connor	30	1	2	2
3	Pierre Engvall	Mathieu Joseph	Philipp Kurashev	20	1	2	2
4		Zemgus Girgensons		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brian Dumoulin	William Borgen	40	1	2	2
2	Jordan Oesterle	Daniil Miromanov	30	1	2	2
3	Justin Holl	Jacob Bernard-Docker	20	1	2	2
4	Erik Brannstrom	Pierre-Olivier Joseph	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			David Perron	60	1	2	2
2	Nils Hoglander	Nick Bjugstad	Logan O'Connor	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brian Dumoulin	William Borgen	60	1	2	2
2	Jordan Oesterle	Daniil Miromanov	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2	David Perron	Nick Bjugstad	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brian Dumoulin	William Borgen	60	1	2	2
2	Jordan Oesterle	Daniil Miromanov	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2	Brian Dumoulin	William Borgen	60	1	2	2
2		40	1	2	2	Jordan Oesterle	Daniil Miromanov	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2	David Perron	Nick Bjugstad	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brian Dumoulin	William Borgen	60	1	2	2
2	Jordan Oesterle	Daniil Miromanov	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		David Perron	Brian Dumoulin	William Borgen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		David Perron	Brian Dumoulin	William Borgen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mathieu Joseph, Zemgus Girgensons, Pierre Engvall	Mathieu Joseph, Zemgus Girgensons	Pierre Engvall

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Justin Holl, Jacob Bernard-Docker, Erik Brannstrom	Justin Holl	Jacob Bernard-Docker, Erik Brannstrom

Penalty Shots
, , David Perron, Nick Bjugstad, Logan O'Connor

Goalie
#1 : David Rittich, #2 : Vadim Zherenko

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	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 For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0.00%	0	0	0.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link

Depth Chart

Left Wing

Center

Right Wing

David Perron

AGE:37
SK:		82
EN:		77
DU:		87
PH:		63
PA:		59
SC:		66
DF:		63
Samuel Blais

AGE:29
SK:		79
EN:		69
DU:		57
PH:		61
PA:		60
SC:		62
DF:		73
Anthony Duclair

AGE:30
SK:		82
EN:		77
DU:		85
PH:		63
PA:		60
SC:		66
DF:		70
James vanRiemsdyk

AGE:36
SK:		79
EN:		74
DU:		92
PH:		63
PA:		58
SC:		67
DF:		64
Liam Ohgren

AGE:21
SK:		79
EN:		77
DU:		90
PH:		56
PA:		52
SC:		60
DF:		72
Matthew Seminoff

AGE:22
SK:		79
EN:		81
DU:		71
PH:		53
PA:		50
SC:		57
DF:		70
Nils Hoglander

AGE:25
SK:		78
EN:		74
DU:		69
PH:		50
PA:		46
SC:		54
DF:		69
Pierre Engvall

AGE:29
SK:		75
EN:		60
DU:		50
PH:		55
PA:		49
SC:		61
DF:		61
Rafael Harvey-Pinard

AGE:26
SK:		78
EN:		75
DU:		65
PH:		49
PA:		42
SC:		56
DF:		70
Juraj Pekarcik (R)

AGE:20
SK:		83
EN:		78
DU:		68
PH:		46
PA:		49
SC:		43
DF:		52
Samuel Savoie (R)

AGE:21
SK:		75
EN:		71
DU:		61
PH:		42
PA:		39
SC:		46
DF:		61
Samu Tuomaala

AGE:22
SK:		76
EN:		60
DU:		50
PH:		47
PA:		55
SC:		39
DF:		57
James Malatesta

AGE:22
SK:		75
EN:		66
DU:		56
PH:		38
PA:		32
SC:		44
DF:		59
Zach Dean

AGE:22
SK:		75
EN:		60
DU:		50
PH:		41
PA:		43
SC:		39
DF:		58
David Goyette (R)

AGE:21
SK:		75
EN:		60
DU:		50
PH:		33
PA:		31
SC:		35
DF:		63

Philipp Kurashev

AGE:26
SK:		83
EN:		80
DU:		72
PH:		64
PA:		65
SC:		63
DF:		70
Zemgus Girgensons

AGE:31
SK:		77
EN:		79
DU:		94
PH:		56
PA:		52
SC:		60
DF:		72
Ilya Protas (R)

AGE:19
SK:		77
EN:		78
DU:		68
PH:		64
PA:		64
SC:		64
DF:		70
Calum Ritchie (R)

AGE:20
SK:		81
EN:		77
DU:		87
PH:		64
PA:		61
SC:		66
DF:		62
Nick Bjugstad

AGE:33
SK:		75
EN:		73
DU:		85
PH:		51
PA:		44
SC:		58
DF:		70
Luke Kunin

AGE:28
SK:		77
EN:		71
DU:		85
PH:		52
PA:		48
SC:		55
DF:		72
David Kampf

AGE:30
SK:		75
EN:		79
DU:		70
PH:		51
PA:		48
SC:		54
DF:		76
Tyler Pitlick

AGE:34
SK:		75
EN:		67
DU:		65
PH:		48
PA:		40
SC:		55
DF:		66
David Edstrom (R)

AGE:20
SK:		82
EN:		62
DU:		52
PH:		42
PA:		42
SC:		42
DF:		70
Thomas Bordeleau

AGE:23
SK:		75
EN:		69
DU:		59
PH:		39
PA:		36
SC:		42
DF:		50
Roni Hirvonen

AGE:23
SK:		75
EN:		60
DU:		50
PH:		40
PA:		35
SC:		44
DF:		55

Mathieu Joseph

AGE:28
SK:		78
EN:		74
DU:		78
PH:		54
PA:		54
SC:		53
DF:		75
Brett Leason

AGE:26
SK:		75
EN:		65
DU:		55
PH:		57
PA:		64
SC:		51
DF:		70
Joakim Kemell

AGE:21
SK:		79
EN:		72
DU:		54
PH:		53
PA:		50
SC:		55
DF:		76
Logan O'Connor

AGE:29
SK:		78
EN:		74
DU:		52
PH:		51
PA:		53
SC:		50
DF:		68
Tyler Boucher

AGE:22
SK:		75
EN:		60
DU:		50
PH:		48
PA:		44
SC:		51
DF:		67

Defense #1

Defense #2

Goalie

William Borgen

AGE:29
SK:		76
EN:		80
DU:		94
PH:		55
PA:		51
SC:		58
DF:		78
Brian Dumoulin

AGE:34
SK:		75
EN:		79
DU:		99
PH:		54
PA:		55
SC:		53
DF:		71
Sam Rinzel (R)

AGE:21
SK:		77
EN:		80
DU:		80
PH:		57
PA:		55
SC:		59
DF:		70
Jacob Bernard-Docker

AGE:25
SK:		75
EN:		74
DU:		86
PH:		49
PA:		45
SC:		52
DF:		75
Mike Reilly

AGE:32
SK:		77
EN:		74
DU:		72
PH:		54
PA:		56
SC:		53
DF:		79
Tobias Bjornfot

AGE:24
SK:		79
EN:		74
DU:		56
PH:		56
PA:		49
SC:		63
DF:		74
Samuel Bolduc

AGE:25
SK:		75
EN:		72
DU:		67
PH:		46
PA:		50
SC:		41
DF:		70
Pierre-Olivier Joseph

AGE:26
SK:		77
EN:		72
DU:		64
PH:		54
PA:		53
SC:		54
DF:		69
Jordan Oesterle

AGE:33
SK:		79
EN:		73
DU:		68
PH:		56
PA:		58
SC:		55
DF:		50
Erik Brannstrom

AGE:26
SK:		82
EN:		55
DU:		50
PH:		59
PA:		55
SC:		53
DF:		61

Daniil Miromanov

AGE:28
SK:		75
EN:		70
DU:		65
PH:		52
PA:		54
SC:		51
DF:		54
Trevor Carrick

AGE:31
SK:		75
EN:		63
DU:		58
PH:		43
PA:		45
SC:		40
DF:		70
Justin Holl

AGE:33
SK:		75
EN:		55
DU:		50
PH:		40
PA:		44
SC:		36
DF:		70
Oliver Kylington

AGE:28
SK:		80
EN:		55
DU:		50
PH:		57
PA:		57
SC:		56
DF:		57
Scott Harrington

AGE:32
SK:		75
EN:		72
DU:		67
PH:		37
PA:		39
SC:		35
DF:		50
Jonathon Merrill

AGE:33
SK:		75
EN:		55
DU:		50
PH:		49
PA:		45
SC:		54
DF:		57
Christian Kyrou

AGE:22
SK:		79
EN:		63
DU:		58
PH:		52
PA:		53
SC:		51
DF:		56
Ty Smith

AGE:25
SK:		83
EN:		55
DU:		50
PH:		60
PA:		50
SC:		47
DF:		54
Colton Poolman

AGE:30
SK:		75
EN:		55
DU:		50
PH:		36
PA:		36
SC:		36
DF:		60

Vadim Zherenko

AGE:24
SK:		87
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Hunter Jones

AGE:25
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

Prospects

Show or Hide Column

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick
Brodie Ziemer	Capitals	2038	85
Dmitry Gamzin	Capitals	2038	112
Eric Engstrand	Capitals	2034	188
Jake Fisher	Capitals	2038	140
Lucas Ellinas	Capitals	2038	115
Lukas Fischer	Capitals	2038	82
Zam Plante	Capitals	2036	165

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2040
2041
2042
2043

Capitals Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	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	Alexei Ponikarovsky	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 Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	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 Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	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
Regular Season
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
2038	82	23	46	0	4	4	1	4	235	296	-61	41	15	20	0	2	3	0	1	120	137	-17	41	8	26	0	2	1	1	3	115	159	-44	64	235	421	656	2	3	89	77	64	8	2289	782	731	748	56	2528	786	921	1760	389	63	16.20%	394	90	77.16%	3	1346	2713	49.61%	1440	2935	49.06%	639	1304	49.00%	1943	1335	1986	610	1028	511
2039	82	15	59	0	1	3	1	3	221	384	-163	41	8	28	0	1	2	1	1	119	189	-70	41	7	31	0	0	1	0	2	102	195	-93	40	221	393	614	2	2	62	81	76	2	2326	721	784	803	29	3039	846	986	1822	347	65	18.73%	416	113	72.84%	3	1369	2727	50.20%	1478	3194	46.27%	704	1422	49.51%	1721	1133	2172	636	1049	496
Total Regular Season	1722	664	765	0	47	65	90	91	5317	5775	-458	861	339	377	0	24	34	41	46	2677	2846	-169	861	325	388	0	23	31	49	45	2640	2929	-289	1648	5317	9207	14524	35	50	254	1846	1702	1394	53209	2344	17427	17736	15355	54879	16370	20197	38284	7954	1489	18.72%	7829	1615	79.37%	86	30238	58287	51.88%	30020	59715	50.27%	14041	27552	50.96%	39530	26077	41340	13758	23725	11684
Playoff
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 Playoff	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 Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	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 Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	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