Canadian Hockey League

Remparts
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

Game Center
	Canucks 4-0-0, 8pts	5	FINAL	2	Sharks 0-4-0, 0pts

Team Stats
W3	Streak	L3
2-0-0	Home Record	0-2-0
2-0-0	Away Record	0-2-0
4-0-0	Last 10 Games	0-3-1
5.25	Goals Per Game	2.25
2.25	Goals Against Per Game	5.25
15.79%	Power Play Percentage	3.85%
96.15%	Penalty Kill Percentage	84.21%

Canucks
4-0-0, 8pts

FINAL

Sharks
0-4-0, 0pts

Team Stats
W3	Streak	L3
2-0-0	Home Record	0-2-0
2-0-0	Away Record	0-2-0
4-0-0	Last 10 Games	0-3-1
5.25	Goals Per Game	2.25
2.25	Goals Against Per Game	5.25
15.79%	Power Play Percentage	3.85%
96.15%	Penalty Kill Percentage	84.21%

Team Leaders
	Goals Kasperi Kapanen 2	Assists Ryan Strome 3

	Points Pavel Zacha 3	Plus/Minus Kevin Bahl 2

	Wins Vitek Vanecek 0	Save Percentage Vitek Vanecek 0.901

Team Stats
Goals For 9 2.25 GFG	Shots For 126 31.50 Avg	Power Play Percentage 3.8% 1 GF	Offensive Zone Start 39.6%
Goals Against 21 5.25 GAA	Shots Against 183 45.75 Avg	Penalty Kill Percentage 84.2% 3 GA	Defensive Zone Start 43.8%

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager
	Coach	Barry Trotz
	Division	Pacific
	Conference	Western
	Captain
	Assistant #1	Ryan Strome
	Assistant #2	Kasperi Kapanen
Uniforms

Arena Info
	Name	West Coast Arena
	Capacity	25,000
	Attendance	20,595
	Season Tickets	10,000
Roster Info
	Pro Team	23
	Farm Team	24
	Contract Limit	47 / 50
	Prospects	22
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	85,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	23
Finance
	Year to Date Revenue	3,599,530$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	36,824,086$
	Projected Bank Account	36,824,086$
Team History
	This Season	0-4
	History	647-784-128 (0.415%)
	Playoff Appearances	3
	Playoff Record (W-L)	7-16
	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	Drake Batherson			X		100.00	73	54	82	86	67	86	99	76	40	80	72	63	80	72	79	70	32	73	0	25	5	6,000,000$
2	Pavel Zacha	X				100.00	59	52	86	85	69	82	99	74	80	76	71	72	53	74	78	65	30	72	0	26	2	5,499,999$
3	Jesperi Kotkaniemi	X				100.00	70	51	78	83	66	79	99	67	86	65	68	65	73	68	74	80	31	69	0	23	1	3,500,000$
4	Kasperi Kapanen (A)			X		100.00	75	48	85	83	60	77	88	66	73	64	69	67	40	76	77	60	18	68	0	27	3	3,000,000$
5	Nicklas Backstrom	X				100.00	54	50	83	83	64	83	70	67	85	69	65	59	75	94	89	15	21	68	0	36	1	9,000,000$
6	Ryan Strome (A)		X			100.00	48	55	71	83	59	83	99	66	79	66	65	63	61	82	83	45	33	68	0	30	3	5,000,000$
7	Alex Barre-Boulet			X		100.00	55	41	73	91	47	78	68	75	70	70	59	70	40	74	76	65	22	67	0	26	1	1,331,000$
8	Robby Fabbri		X			100.00	81	44	74	86	52	82	62	68	40	66	71	64	50	76	79	60	20	67	0	27	2	4,000,000$
9	Connor Brown			X		100.00	45	44	87	87	52	60	50	70	71	72	63	80	40	80	70	50	18	66	0	29	2	4,000,000$
10	Brett Howden	X				100.00	86	55	70	76	67	77	80	55	87	51	59	74	40	72	75	70	34	64	0	25	1	1,650,000$
11	Adam Larsson				X	100.00	99	56	79	80	72	89	99	64	40	65	62	94	40	84	87	40	25	79	0	31	1	4,500,000$
12	Filip Hronek				X	100.00	77	46	79	88	56	86	87	73	40	78	67	75	40	74	80	65	18	73	0	26	1	4,500,000$
13	Bowen Byram				X	100.00	86	56	72	87	58	86	72	73	40	67	79	76	40	66	76	85	22	72	0	22	1	925,000$
14	Anthony Deangelo				X	100.00	57	51	69	89	49	87	91	73	40	76	69	67	73	78	83	55	32	71	0	28	3	5,000,000$
15	Nikita Zaitsev				X	100.00	88	48	81	76	61	77	75	53	40	52	53	70	40	86	82	35	28	67	0	32	1	5,100,000$
16	Kevin Bahl				X	100.00	76	67	73	75	88	73	72	54	40	52	56	70	40	68	71	80	18	67	0	23	1	925,000$
17	William Lagesson				X	100.00	68	58	76	75	69	69	64	48	40	48	49	70	40	76	73	60	31	64	0	27	1	1,032,130$
Scratches
1	Patrik Laine		X			100.00	52	55	84	89	74	87	81	84	70	85	83	72	86	72	80	70	14	76	0	25	3	1$
2	Noah Gregor		X			100.00	80	53	79	80	56	76	82	57	40	50	64	73	40	72	74	70	32	64	0	25	1	1,017,500$
3	Kevin Stenlund	X				100.00	53	57	83	75	79	74	80	52	88	45	59	83	40	76	75	60	23	64	0	27	1	1,512,500$
4	Filip Zadina			X		100.00	57	46	83	79	56	77	64	55	40	51	58	72	73	70	74	75	20	62	0	24	2	2,750,000$
Farm Team
1	Fabian Zetterlund		X			100.00	59	52	86	80	69	77	89	59	40	61	57	62	40	70	74	75	45	63	0	24	2	1,500,000$
2	Jakob Pelletier		X			100.00	55	38	88	82	40	79	60	57	40	54	60	68	40	66	73	85	45	61	0	22	2	925,000$
3	Marian Studenic		X			100.00	58	45	80	78	54	76	66	54	40	53	56	70	40	72	74	70	45	61	0	25	1	1,119,250$
4	Peter Abbandonato	X				100.00	59	57	87	79	54	75	65	54	70	63	44	62	40	72	74	70	47	60	0	25	1	825,000$
5	Matej Blumel (R)			X		100.00	48	44	88	88	52	67	57	56	40	55	57	64	40	68	68	80	47	60	0	23	2	750,000$
6	Janne Kuokkanen	X				100.00	54	48	86	79	60	60	50	57	40	45	50	60	40	72	66	70	45	56	0	25	1	1,825,000$
7	Rodrigo Abols	X				100.00	68	63	82	75	63	60	50	51	70	56	46	50	40	76	68	60	47	56	0	27	1	825,000$
8	Karl Henriksson (R)	X				100.00	68	57	84	90	78	79	69	35	40	32	38	62	40	66	73	85	47	56	0	22	3	925,000$
9	Nathan Smith	X				100.00	99	43	78	75	50	73	63	42	40	39	45	50	90	72	73	70	47	55	0	25	1	632,500$
10	Timur Ibragimov		X			100.00	48	44	90	75	52	60	50	41	40	36	46	65	40	68	64	80	28	52	0	23	1	750,000$
11	Haydn Fleury				X	100.00	64	54	80	75	73	71	63	46	40	43	50	62	40	76	74	60	47	61	0	27	1	1,925,000$
12	Leon Gawanke				X	100.00	67	63	75	79	62	72	67	58	40	50	66	54	40	70	71	75	47	61	0	24	1	1,017,500$
13	Ty Emberson				X	100.00	56	51	82	75	60	73	68	43	40	44	42	70	40	68	71	80	47	61	0	23	1	750,000$
14	Alexander Yelesin				X	100.00	99	63	77	75	59	74	57	30	40	26	33	50	40	76	75	60	47	57	0	27	1	825,000$
15	Cameron Crotty				X	100.00	68	56	81	75	59	68	63	34	40	35	32	53	40	70	69	75	47	56	0	24	1	825,000$
16	Austin Strand				X	100.00	65	55	73	75	72	59	54	32	40	30	34	50	40	74	67	65	46	55	0	26	1	919,600$
17	Axel Andersson				X	100.00	58	56	81	75	59	55	50	32	40	30	34	61	40	68	62	80	35	54	0	23	1	925,000$
18	Thomas Gregoire				X	100.00	49	43	80	78	44	50	50	49	40	54	43	50	40	72	61	70	46	54	0	25	1	847,000$
19	Reece Newkirk	X				100.00	62	74	71	75	50	60	50	38	70	41	35	59	40	66	63	85	20	51	0	22	2	925,000$
20	Tim Soderlund		X			100.00	45	53	88	75	40	60	50	34	40	38	30	50	99	72	66	70	20	48	0	25	1	907,500$

	TEAM AVERAGE					100.00	66	52	80	80	60	74	70	55	52	54	55	65	49	73	74	67	33	63

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	Joonas Korpisalo	100.00	87	78	79	90	85	83	82	85	82	81	87	80	82	50	46	82	0	29	2	2,500,000$
2	Vitek Vanecek	100.00	91	93	98	86	87	88	80	81	80	82	97	76	82	60	18	82	0	27	1	2,750,000$
Scratches
Farm Team
1	Hugo Alnefelt	100.00	87	60	61	84	52	54	54	52	55	51	87	66	60	85	69	60	0	22	2	925,000$
2	Michael Hutchinson	100.00	75	50	60	92	50	50	50	50	50	50	40	88	69	30	67	59	0	33	1	800,000$
3	Ilya Konovalov	100.00	88	50	60	85	50	50	50	50	50	50	60	72	61	70	20	57	0	25	1	632,500$
4	Jaxson Stauber (R)	100.00	75	50	60	85	50	50	50	50	50	50	40	70	60	75	22	56	0	24	3	650,000$

	TEAM AVERAGE	100.00	84	64	70	87	62	63	61	61	61	61	69	75	69	62	40	66

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Barry Trotz	70	64	67	83	91	86	48	CAN	61	1	2,250,000$

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	PKS	PKM	FO%	FOT	P/20	FT
1	Pavel Zacha	Sharks	C	4	1	2	3	-5	5	5	7	14	11	6	8	9.09%	1	108	27.03	0	1	1	3	21	1	20	52.52%	139	0.55	1
2	Ryan Strome	Sharks	LW	4	0	3	3	-5	5	5	2	3	11	2	11	0.00%	0	80	20.19	0	0	0	5	23	0	0	16.67%	6	0.74	1
3	Filip Hronek	Sharks	D	4	0	2	2	-4	2	0	8	3	7	1	8	0.00%	4	115	28.85	0	0	0	4	23	1	16	0.00%	0	0.35	0
4	Kasperi Kapanen	Sharks	RW	4	2	0	2	-5	2	0	10	8	11	2	8	18.18%	1	82	20.65	0	0	0	4	23	0	0	63.64%	11	0.48	0
5	Drake Batherson	Sharks	RW	4	1	1	2	-5	2	0	14	5	12	2	7	8.33%	0	97	24.40	0	0	0	5	21	0	9	58.33%	12	0.41	0
6	Kevin Bahl	Sharks	D	4	0	2	2	2	4	0	7	2	1	0	2	0.00%	2	53	13.28	0	0	0	1	1	0	0	0.00%	0	0.75	0
7	Jesperi Kotkaniemi	Sharks	C	4	1	1	2	-5	2	0	6	7	9	4	5	11.11%	0	89	22.46	0	0	0	2	23	0	6	56.10%	123	0.45	0
8	Adam Larsson	Sharks	D	4	0	2	2	-4	10	0	17	9	9	4	4	0.00%	7	114	28.55	0	1	1	8	23	0	13	0.00%	0	0.35	0
9	Anthony Deangelo	Sharks	D	4	0	1	1	-8	0	0	0	8	14	4	4	0.00%	4	103	25.79	0	0	0	12	21	0	14	0.00%	0	0.19	0
10	Alex Barre-Boulet	Sharks	RW	4	1	0	1	0	0	0	1	5	5	4	7	20.00%	0	52	13.20	0	0	0	0	1	0	7	46.67%	15	0.38	0
11	Bowen Byram	Sharks	D	4	1	0	1	-8	4	0	16	4	11	4	6	9.09%	10	101	25.27	0	0	0	7	21	0	12	0.00%	0	0.20	0
12	Brett Howden	Sharks	C	4	0	1	1	0	2	0	3	4	0	1	2	0.00%	0	24	6.08	0	0	0	0	0	0	0	48.28%	29	0.82	0
13	Patrik Laine	Sharks	LW	4	1	0	1	-5	0	0	1	9	11	4	15	9.09%	2	112	28.10	1	0	1	3	21	2	19	38.00%	50	0.18	0
14	Robby Fabbri	Sharks	LW	4	0	1	1	0	2	0	8	3	7	5	6	0.00%	2	46	11.64	0	0	0	0	1	0	0	50.00%	2	0.43	0
15	Connor Brown	Sharks	RW	4	1	0	1	0	0	0	0	2	2	1	0	50.00%	1	23	5.87	0	0	0	0	0	0	0	50.00%	2	0.85	0
16	Nikita Zaitsev	Sharks	D	1	0	0	0	1	2	0	3	0	1	0	0	0.00%	0	12	12.83	0	0	0	0	0	0	0	0.00%	0	0.00	0
17	Noah Gregor	Sharks	LW	3	0	0	0	0	0	0	0	2	0	1	1	0.00%	0	19	6.42	0	0	0	0	0	0	0	0.00%	1	0.00	0
18	Nicklas Backstrom	Sharks	C	4	0	0	0	0	0	0	0	5	3	1	4	0.00%	0	50	12.64	0	0	0	0	1	0	0	51.61%	62	0.00	0
19	William Lagesson	Sharks	D	4	0	0	0	1	6	0	4	1	1	0	1	0.00%	6	48	12.25	0	0	0	0	0	0	5	0.00%	0	0.00	0
Team Total or Average				72	9	16	25	-50	48	10	107	94	126	46	99	7.14%	40	1337	18.57	1	2	3	54	231	4	129	51.11%	452	0.37	2

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	L	OTL	PCT	GAA	MP	GA	SA	ST	BG	S1
1	Joonas Korpisalo	Sharks	1	1	0	0.762	8.57	35	5	21	1	3	0
2	Vitek Vanecek	Sharks	4	2	1	0.901	4.02	239	16	162	3	1	1
Team Total or Average			5	3	1	0.885	4.60	274	21	183	4	4	1

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	2037	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2038	2039	2040	2041	2042	Link
Adam Larsson	Sharks	D	31	1992-11-12	No	209 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	4,500,000$	4,500,000$	2,089,286$	No	UFA					Link / NHL Link
Alex Barre-Boulet	Sharks	RW	26	1997-05-21	No	180 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,331,000$	1,331,000$	617,964$	No	RFA					Link / NHL Link
Anthony Deangelo	Sharks	D	28	1995-10-24	No	180 Lbs	5 ft11	No	No	Yes	3	Pro & Farm	5,000,000$	5,000,000$	2,321,429$	No	5,000,000$	5,000,000$	UFA			Link / NHL Link
Bowen Byram	Sharks	D	22	2001-06-13	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	925,000$	429,464$	No	RFA					Link / NHL Link
Brett Howden	Sharks	C	25	1998-03-29	No	203 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,650,000$	1,650,000$	766,071$	No	RFA					Link / NHL Link
Connor Brown	Sharks	RW	29	1994-01-14	No	181 Lbs	6 ft0	No	No	Yes	2	Pro & Farm	4,000,000$	4,000,000$	1,857,143$	No	4,000,000$	UFA				Link / NHL Link
Drake Batherson	Sharks	RW	25	1998-04-27	No	200 Lbs	6 ft3	No	No	Yes	5	Pro Only	6,000,000$	6,000,000$	2,785,714$	No	6,000,000$	6,000,000$	6,000,000$	6,000,000$	UFA	Link / NHL Link
Filip Hronek	Sharks	D	26	1997-11-02	No	190 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	4,500,000$	4,500,000$	2,089,286$	No	RFA					Link / NHL Link
Filip Zadina	Sharks	RW	24	1999-11-27	No	190 Lbs	6 ft0	Yes	No	Yes	2	Pro & Farm	2,750,000$	2,750,000$	1,276,786$	No	2,750,000$	RFA				Link / NHL Link
Jesperi Kotkaniemi	Sharks	C	23	2000-07-06	No	201 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	3,500,000$	3,500,000$	1,625,000$	No	RFA					Link / NHL Link
Joonas Korpisalo	Sharks	G	29	1994-04-28	No	182 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	2,500,000$	2,500,000$	1,160,714$	No	2,500,000$	UFA				Link / NHL Link
Kasperi Kapanen	Sharks	RW	27	1996-07-23	No	194 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	3,000,000$	3,000,000$	1,392,857$	No	3,000,000$	3,000,000$	UFA			Link / NHL Link
Kevin Bahl	Sharks	D	23	2000-06-27	No	230 Lbs	6 ft6	No	No	No	1	Pro & Farm	925,000$	925,000$	429,464$	No	RFA					Link / NHL Link
Kevin Stenlund	Sharks	C	27	1996-09-20	No	215 Lbs	6 ft5	No	No	No	1	Pro & Farm	1,512,500$	1,512,500$	702,232$	No	UFA					Link / NHL Link
Nicklas Backstrom	Sharks	C	36	1987-11-23	No	202 Lbs	6 ft1	No	No	Yes	1	Pro Only	9,000,000$	9,000,000$	4,178,571$	No	UFA					Link / NHL Link
Nikita Zaitsev	Sharks	D	32	1991-10-29	No	192 Lbs	6 ft2	No	No	Yes	1	Pro Only	5,100,000$	5,100,000$	2,367,857$	No	UFA					Link / NHL Link
Noah Gregor	Sharks	LW	25	1998-07-28	No	190 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,017,500$	1,017,500$	472,411$	No	RFA					Link / NHL Link
Patrik Laine	Sharks	LW	25	1998-04-19	No	205 Lbs	6 ft5	Yes	No	Yes	3	Pro Only	1$	1$	0$	No	7,500,000$	7,500,000$	UFA			Link / NHL Link
Pavel Zacha	Sharks	C	26	1997-04-06	No	199 Lbs	6 ft4	No	No	Yes	2	Pro Only	5,499,999$	5,499,999$	2,553,571$	No	5,499,999$	UFA				Link / NHL Link
Robby Fabbri	Sharks	LW	27	1996-01-22	No	185 Lbs	5 ft11	No	No	Yes	2	Pro & Farm	4,000,000$	4,000,000$	1,857,143$	No	4,000,000$	UFA				Link / NHL Link
Ryan Strome	Sharks	LW	30	1993-07-11	No	191 Lbs	6 ft1	No	No	Yes	3	Pro & Farm	5,000,000$	5,000,000$	2,321,429$	No	5,000,000$	5,000,000$	UFA			Link / NHL Link
Vitek Vanecek	Sharks	G	27	1996-01-09	No	180 Lbs	6 ft1	No	No	Yes	1	Pro & Farm	2,750,000$	2,750,000$	1,276,786$	No	UFA					Link / NHL Link
William Lagesson	Sharks	D	27	1996-02-22	No	207 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,032,130$	1,032,130$	479,203$	No	UFA					Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	26.96	195 Lbs	6 ft2	1.74	3,282,310$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
75,493,130$	45,249,999$	26,500,000$	6,000,000$	6,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Pavel Zacha	Drake Batherson	40	1	2	2
2	Ryan Strome	Jesperi Kotkaniemi	Kasperi Kapanen	30	1	2	2
3	Robby Fabbri	Nicklas Backstrom	Alex Barre-Boulet	20	1	2	2
4		Brett Howden	Connor Brown	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Adam Larsson	Filip Hronek	40	1	2	2
2	Bowen Byram	Anthony Deangelo	30	1	2	2
3	Kevin Bahl	Nikita Zaitsev	20	1	2	2
4	William Lagesson	Adam Larsson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Pavel Zacha	Drake Batherson	60	1	2	2
2	Ryan Strome	Jesperi Kotkaniemi	Kasperi Kapanen	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Adam Larsson	Filip Hronek	60	1	2	2
2	Bowen Byram	Anthony Deangelo	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Drake Batherson	60	1	2	2
2	Pavel Zacha	Jesperi Kotkaniemi	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Adam Larsson	Filip Hronek	60	1	2	2
2	Bowen Byram	Anthony Deangelo	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	Adam Larsson	Filip Hronek	60	1	2	2
2	Drake Batherson	40	1	2	2	Bowen Byram	Anthony Deangelo	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Drake Batherson	60	1	2	2
2	Pavel Zacha	Jesperi Kotkaniemi	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Adam Larsson	Filip Hronek	60	1	2	2
2	Bowen Byram	Anthony Deangelo	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Pavel Zacha	Drake Batherson	Adam Larsson	Filip Hronek

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Pavel Zacha	Drake Batherson	Adam Larsson	Filip Hronek

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nicklas Backstrom, Robby Fabbri, Alex Barre-Boulet	Nicklas Backstrom, Robby Fabbri	Alex Barre-Boulet

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Kevin Bahl, Nikita Zaitsev, William Lagesson	Kevin Bahl	Nikita Zaitsev, William Lagesson

Penalty Shots
, Drake Batherson, Pavel Zacha, Jesperi Kotkaniemi, Kasperi Kapanen

Goalie
#1 : Joonas Korpisalo, #2 : Vitek Vanecek

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
1	Canucks	4	0	4	0	0	0	0	0	9	21	-12	2	0	2	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	4	9	-5	0	0.000	9	16	25	0	0	5	3	1	0	126	42	31	39	14	183	40	48	107	26	1	3.85%	19	3	84.21%	0	90	179	50.28%	98	198	49.49%	43	75	57.33%	102	67	117	34	54	26
	Total	4	0	4	0	0	0	0	0	9	21	-12	2	0	2	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	4	9	-5	0	0.000	9	16	25	0	0	5	3	1	0	126	42	31	39	14	183	40	48	107	26	1	3.85%	19	3	84.21%	0	90	179	50.28%	98	198	49.49%	43	75	57.33%	102	67	117	34	54	26
	_Since Last GM Reset	4	0	4	0	0	0	0	0	9	21	-12	2	0	2	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	4	9	-5	0	0.000	9	16	25	0	0	5	3	1	0	126	42	31	39	14	183	40	48	107	26	1	3.85%	19	3	84.21%	0	90	179	50.28%	98	198	49.49%	43	75	57.33%	102	67	117	34	54	26
	_Vs Conference	4	0	4	0	0	0	0	0	9	21	-12	2	0	2	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	4	9	-5	0	0.000	9	16	25	0	0	5	3	1	0	126	42	31	39	14	183	40	48	107	26	1	3.85%	19	3	84.21%	0	90	179	50.28%	98	198	49.49%	43	75	57.33%	102	67	117	34	54	26
	_Vs Division	4	0	4	0	0	0	0	0	9	21	-12	2	0	2	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	4	9	-5	0	0.000	9	16	25	0	0	5	3	1	0	126	42	31	39	14	183	40	48	107	26	1	3.85%	19	3	84.21%	0	90	179	50.28%	98	198	49.49%	43	75	57.33%	102	67	117	34	54	26

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	0	L3	9	16	25	126	183	40	48	107	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	9	21

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	12

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	4	9

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	3	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
26	1	3.85%	19	3	84.21%	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
42	31	39	14	5	3	1	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
90	179	50.28%	98	198	49.49%	43	75	57.33%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
102	67	117	34	54	26

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	Link
2	7	Sharks	3	Canucks	4	AL	X	BoxScore
4	15	Sharks	1	Canucks	5	AL		BoxScore
6	23	Canucks	5	Sharks	2	BL		BoxScore
8	31	Canucks	7	Sharks	3	BL		BoxScore

Depth Chart

Left Wing

Center

Right Wing

Patrik Laine

AGE:25
SK:		89
EN:		87
DU:		81
PH:		84
PA:		85
SC:		83
DF:		72
Ryan Strome

AGE:30
SK:		83
EN:		83
DU:		99
PH:		66
PA:		66
SC:		65
DF:		63
Robby Fabbri

AGE:27
SK:		86
EN:		82
DU:		62
PH:		68
PA:		66
SC:		71
DF:		64
Noah Gregor

AGE:25
SK:		80
EN:		76
DU:		82
PH:		57
PA:		50
SC:		64
DF:		73
Fabian Zetterlund

AGE:24
SK:		80
EN:		77
DU:		89
PH:		59
PA:		61
SC:		57
DF:		62
Jakob Pelletier

AGE:22
SK:		82
EN:		79
DU:		60
PH:		57
PA:		54
SC:		60
DF:		68
Marian Studenic

AGE:25
SK:		78
EN:		76
DU:		66
PH:		54
PA:		53
SC:		56
DF:		70
Timur Ibragimov

AGE:23
SK:		75
EN:		60
DU:		50
PH:		41
PA:		36
SC:		46
DF:		65
Tim Soderlund

AGE:25
SK:		75
EN:		60
DU:		50
PH:		34
PA:		38
SC:		30
DF:		50

Pavel Zacha

AGE:26
SK:		85
EN:		82
DU:		99
PH:		74
PA:		76
SC:		71
DF:		72
Jesperi Kotkaniemi

AGE:23
SK:		83
EN:		79
DU:		99
PH:		67
PA:		65
SC:		68
DF:		65
Nicklas Backstrom

AGE:36
SK:		83
EN:		83
DU:		70
PH:		67
PA:		69
SC:		65
DF:		59
Brett Howden

AGE:25
SK:		76
EN:		77
DU:		80
PH:		55
PA:		51
SC:		59
DF:		74
Kevin Stenlund

AGE:27
SK:		75
EN:		74
DU:		80
PH:		52
PA:		45
SC:		59
DF:		83
Peter Abbandonato

AGE:25
SK:		79
EN:		75
DU:		65
PH:		54
PA:		63
SC:		44
DF:		62
Karl Henriksson (R)

AGE:22
SK:		90
EN:		79
DU:		69
PH:		35
PA:		32
SC:		38
DF:		62
Janne Kuokkanen

AGE:25
SK:		79
EN:		60
DU:		50
PH:		57
PA:		45
SC:		50
DF:		60
Rodrigo Abols

AGE:27
SK:		75
EN:		60
DU:		50
PH:		51
PA:		56
SC:		46
DF:		50
Nathan Smith

AGE:25
SK:		75
EN:		73
DU:		63
PH:		42
PA:		39
SC:		45
DF:		50
Reece Newkirk

AGE:22
SK:		75
EN:		60
DU:		50
PH:		38
PA:		41
SC:		35
DF:		59

Drake Batherson

AGE:25
SK:		86
EN:		86
DU:		99
PH:		76
PA:		80
SC:		72
DF:		63
Kasperi Kapanen

AGE:27
SK:		83
EN:		77
DU:		88
PH:		66
PA:		64
SC:		69
DF:		67
Alex Barre-Boulet

AGE:26
SK:		91
EN:		78
DU:		68
PH:		75
PA:		70
SC:		59
DF:		70
Connor Brown

AGE:29
SK:		87
EN:		60
DU:		50
PH:		70
PA:		72
SC:		63
DF:		80
Filip Zadina

AGE:24
SK:		79
EN:		77
DU:		64
PH:		55
PA:		51
SC:		58
DF:		72
Matej Blumel (R)

AGE:23
SK:		88
EN:		67
DU:		57
PH:		56
PA:		55
SC:		57
DF:		64

Defense #1

Defense #2

Goalie

Adam Larsson

AGE:31
SK:		80
EN:		89
DU:		99
PH:		64
PA:		65
SC:		62
DF:		94
Filip Hronek

AGE:26
SK:		88
EN:		86
DU:		87
PH:		73
PA:		78
SC:		67
DF:		75
Bowen Byram

AGE:22
SK:		87
EN:		86
DU:		72
PH:		73
PA:		67
SC:		79
DF:		76
Anthony Deangelo

AGE:28
SK:		89
EN:		87
DU:		91
PH:		73
PA:		76
SC:		69
DF:		67
Kevin Bahl

AGE:23
SK:		75
EN:		73
DU:		72
PH:		54
PA:		52
SC:		56
DF:		70
Nikita Zaitsev

AGE:32
SK:		76
EN:		77
DU:		75
PH:		53
PA:		52
SC:		53
DF:		70
William Lagesson

AGE:27
SK:		75
EN:		69
DU:		64
PH:		48
PA:		48
SC:		49
DF:		70
Ty Emberson

AGE:23
SK:		75
EN:		73
DU:		68
PH:		43
PA:		44
SC:		42
DF:		70

Leon Gawanke

AGE:24
SK:		79
EN:		72
DU:		67
PH:		58
PA:		50
SC:		66
DF:		54
Haydn Fleury

AGE:27
SK:		75
EN:		71
DU:		63
PH:		46
PA:		43
SC:		50
DF:		62
Alexander Yelesin

AGE:27
SK:		75
EN:		74
DU:		57
PH:		30
PA:		26
SC:		33
DF:		50
Cameron Crotty

AGE:24
SK:		75
EN:		68
DU:		63
PH:		34
PA:		35
SC:		32
DF:		53
Austin Strand

AGE:26
SK:		75
EN:		59
DU:		54
PH:		32
PA:		30
SC:		34
DF:		50
Axel Andersson

AGE:23
SK:		75
EN:		55
DU:		50
PH:		32
PA:		30
SC:		34
DF:		61
Thomas Gregoire

AGE:25
SK:		78
EN:		50
DU:		50
PH:		49
PA:		54
SC:		43
DF:		50

Vitek Vanecek

AGE:27
SK:		91
AG:		87
RB:		88
SC:		80
HS:		81
RT:		80
DF:		82
Joonas Korpisalo

AGE:29
SK:		87
AG:		85
RB:		83
SC:		82
HS:		85
RT:		82
DF:		81
Hugo Alnefelt

AGE:22
SK:		87
AG:		52
RB:		54
SC:		54
HS:		52
RT:		55
DF:		51
Michael Hutchinson

AGE:33
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Ilya Konovalov

AGE:25
SK:		88
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50
Jaxson Stauber (R)

AGE:24
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
Arttu Karki	Sharks	2037	113
Artyom Galimov	Sharks	2034	100
Axel Landen	Sharks	2037	163
Chase Cheslock	Sharks	2037	194
Damian Clara	Sharks	2037	65
Daniil Chechelev	Sharks	2034	102
Dominic Basse	Sharks	2033	178
Florian Xhekaj	Sharks	2037	90
Ian Scott	Sharks	2031	147
Jacob Golden	Sharks	2031	190
Jaromir Pytlik	Sharks	2034	93
Jesse Nurmi	Sharks	2037	145
Jonathan Castagna	Sharks	2037	94
Kalan Lind	Sharks	2037	57
Kirill Ustimenko	Sharks	2031	126
Marcus Karlberg	Sharks	2032	96
Maxwell Crozier	Sharks	2033	157
Paul Fischer	Sharks	2037	168
Ryan Johnson	Sharks	2033	43
Sean Keohane	Sharks	2037	214
Thimo Nickl	Sharks	2034	124
Visa Vedenpaa	Sharks	2037	209

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2038
2039
2040

Sharks 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	Milan Michalek	845	250	314	564	-49	565	897	1403	2371	10.54%	269	16871	19.97	76	121	197	549	2	2	4	58	38	16	34.39%	4	0.67	17	80
2	Justin Abdelkader	1338	199	329	528	91	1355	1468	1551	2085	9.54%	693	20293	15.17	27	46	73	177	11	15	26	77	33	11	51.61%	4	0.52	6	27
3	Rich Peverley	649	182	309	491	-19	175	300	1818	1731	10.51%	204	12723	19.60	52	115	167	312	2	6	8	39	17	14	56.01%	3	0.77	6	23
4	Braydon Coburn	1161	99	324	423	-118	1730	2238	1125	1341	7.38%	1589	24064	20.73	62	86	148	658	2	10	12	17	8	3	0.00%	0	0.35	0	1
5	Ryan Strome	556	148	252	400	-72	168	388	1303	1370	10.80%	108	10076	18.12	41	74	115	288	1	4	5	36	20	6	51.05%	5	0.79	6	24

Sharks 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	Jonas Hiller	506	207	242	41	0.899	3.27	29338	60	7	1597	15753	1467	35	7	0.772	224
2	Vitek Vanecek	219	99	96	16	0.890	3.53	12342	18	7	727	6581	0	2	5	0.727	55
3	Keith Kinkaid	128	50	64	8	0.889	3.83	7043	8	2	449	4058	0	4	4	0.686	35
4	Jose Theodore	92	48	36	5	0.913	2.63	5367	19	3	235	2704	1104	9	0	0.860	50
5	Riku Helenius	81	41	30	9	0.910	2.80	4824	4	3	225	2500	1059	2	0	0.618	34

Sharks 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	38	30	0	3	1	3	7	256	242	14	41	21	13	0	1	1	2	3	141	120	21	41	17	17	0	2	0	1	4	115	122	-7	83	256	418	674	0	3	0	59	93	98	2576	0	746	920	890	2584	863	1443	1763	250	44	17.60%	310	50	83.87%	11	1076	2028	53.06%	1043	2018	51.68%	695	1382	50.29%	1676	906	1891	855	1564	773
2018	82	34	34	0	1	2	8	3	228	237	-9	41	18	16	0	1	2	2	2	121	123	-2	41	16	18	0	0	0	6	1	107	114	-7	72	228	359	587	0	4	0	55	83	81	2366	0	684	832	824	2471	866	1487	1625	190	33	17.37%	250	49	80.40%	11	960	1851	51.86%	1094	2062	53.06%	660	1302	50.69%	1623	839	1746	788	1609	805
2019	82	31	34	0	4	2	7	4	223	227	-4	41	16	23	0	0	1	0	1	102	120	-18	41	15	11	0	4	1	7	3	121	107	14	72	223	343	566	2	0	0	44	84	84	2710	0	781	951	950	2599	881	1030	1929	219	44	20.09%	268	51	80.97%	3	1031	2077	49.64%	1023	2118	48.30%	544	1153	47.18%	1709	958	1778	778	1502	722
2020	82	36	31	0	1	3	8	3	263	236	27	41	18	16	0	1	1	5	0	138	110	28	41	18	15	0	0	2	3	3	125	126	-1	77	263	403	666	0	1	0	48	108	98	2839	0	872	1028	923	2620	837	989	2038	243	40	16.46%	213	36	83.10%	8	1122	2253	49.80%	1011	2058	49.13%	618	1231	50.20%	1785	1033	1726	752	1469	722
2021	82	23	43	0	5	2	5	4	230	285	-55	41	12	23	0	2	1	3	0	114	145	-31	41	11	20	0	3	1	2	4	116	140	-24	58	230	409	639	1	2	0	86	68	66	2431	0	837	767	795	2611	748	1062	1877	452	85	18.81%	441	96	78.23%	7	1539	3019	50.98%	1470	3094	47.51%	652	1298	50.23%	1927	1312	2021	626	1034	509
2022	82	29	39	0	0	4	4	6	234	285	-51	41	15	18	0	0	1	4	3	110	133	-23	41	14	21	0	0	3	0	3	124	152	-28	62	234	416	650	1	1	0	82	83	65	2562	0	822	846	867	2748	830	1145	1907	421	84	19.95%	444	91	79.50%	3	1510	3028	49.87%	1520	3258	46.65%	606	1254	48.33%	1898	1287	2050	628	1027	503
2023	82	26	39	0	2	3	5	7	240	287	-47	41	14	18	0	0	3	3	3	128	149	-21	41	12	21	0	2	0	2	4	112	138	-26	59	240	421	661	3	1	0	87	71	75	2180	0	739	694	714	2855	859	1199	2020	381	84	22.05%	545	108	80.18%	2	1383	2728	50.70%	1606	3355	47.87%	658	1292	50.93%	1806	1198	2152	637	1028	489
2024	82	24	48	0	1	1	2	6	213	313	-100	41	13	22	0	0	1	1	4	115	148	-33	41	11	26	0	1	0	1	2	98	165	-67	61	213	364	577	1	0	0	76	73	61	2226	0	730	760	719	2713	806	1258	1901	409	75	18.34%	525	119	77.33%	2	1466	2775	52.83%	1567	3140	49.90%	620	1256	49.36%	1954	1336	1997	616	1012	492
2025	82	21	47	0	2	3	3	6	211	289	-78	41	13	20	0	1	3	1	3	115	148	-33	41	8	27	0	1	0	2	3	96	141	-45	61	211	377	588	2	1	0	78	66	62	2520	0	827	859	807	2693	796	1017	1797	411	70	17.03%	439	90	79.50%	2	1581	3019	52.37%	1606	3079	52.16%	629	1242	50.64%	1955	1336	1990	623	1034	509
2026	82	16	57	0	1	1	3	4	205	340	-135	41	9	27	0	1	0	3	1	104	163	-59	41	7	30	0	0	1	0	3	101	177	-76	45	205	369	574	2	1	0	69	78	54	2414	0	804	833	762	2768	797	1185	1886	423	69	16.31%	461	114	75.27%	3	1440	2966	48.55%	1476	3139	47.02%	637	1371	46.46%	1917	1302	2026	619	1017	499
2027	82	19	49	0	2	2	4	6	224	295	-71	41	8	23	0	2	2	2	4	113	143	-30	41	11	26	0	0	0	2	2	111	152	-41	58	224	384	608	1	4	0	82	75	61	2394	0	809	814	740	2708	821	1022	1931	434	71	16.36%	466	106	77.25%	1	1233	2943	41.90%	1211	3060	39.58%	540	1316	41.03%	1881	1268	2059	623	1035	507
2030	82	28	37	0	1	4	9	3	212	224	-12	41	18	17	0	0	0	5	1	113	106	7	41	10	20	0	1	4	4	2	99	118	-19	83	212	362	574	2	6	0	78	67	57	2492	0	835	838	791	2474	672	973	1803	457	73	15.97%	410	83	79.76%	3	1638	3065	53.44%	1520	2978	51.04%	641	1216	52.71%	1978	1343	1954	638	1055	527
2031	82	23	46	0	0	3	4	6	233	306	-73	41	10	24	0	0	2	3	2	116	154	-38	41	13	22	0	0	1	1	4	117	152	-35	63	233	409	642	4	3	0	79	85	65	2490	0	844	802	819	2786	788	1117	1792	413	70	16.95%	460	94	79.57%	6	1589	2988	53.18%	1557	3167	49.16%	710	1343	52.87%	1890	1270	2050	632	1033	504
2032	82	23	44	0	4	3	4	4	229	317	-88	41	14	16	0	4	2	2	3	131	145	-14	41	9	28	0	0	1	2	1	98	172	-74	69	229	404	633	3	2	0	81	70	70	2375	0	787	750	808	2970	913	1056	1919	367	73	19.89%	447	87	80.54%	2	1404	2904	48.35%	1583	3300	47.97%	655	1332	49.17%	1784	1176	2154	640	1035	496
2033	82	24	48	0	2	3	3	2	247	354	-107	41	12	21	0	1	3	3	1	131	174	-43	41	12	27	0	1	0	0	1	116	180	-64	63	247	436	683	1	0	0	107	71	64	2454	0	825	753	859	2906	827	902	1696	408	81	19.85%	390	90	76.92%	4	1435	2905	49.40%	1498	3093	48.43%	656	1393	47.09%	1799	1194	2094	635	1056	510
2034	82	34	38	0	4	0	4	2	272	280	-8	41	16	22	0	2	0	1	0	127	135	-8	41	18	16	0	2	0	3	2	145	145	0	86	272	484	756	0	4	0	88	90	86	2715	0	876	901	911	2715	768	1026	1911	424	88	20.75%	423	77	81.80%	3	1512	3071	49.23%	1489	3106	47.94%	696	1370	50.80%	1938	1324	1986	616	1031	511
2035	82	31	36	0	3	3	4	5	280	284	-4	41	12	19	0	2	2	2	4	121	146	-25	41	19	17	0	1	1	2	1	159	138	21	84	280	498	778	3	2	0	108	81	84	2688	0	849	919	889	2670	759	895	1802	370	71	19.19%	378	66	82.54%	2	1516	2917	51.97%	1465	3041	48.17%	701	1359	51.58%	1973	1380	1983	607	1023	507
2036	82	22	45	0	8	2	3	2	261	345	-84	41	13	22	0	3	1	1	1	143	162	-19	41	9	23	0	5	1	2	1	118	183	-65	70	261	471	732	1	3	0	91	91	68	2439	0	823	733	857	2645	779	864	1713	391	71	18.16%	359	89	75.21%	5	1433	2789	51.38%	1279	2818	45.39%	688	1367	50.33%	1994	1392	1951	595	1018	513
2037	82	34	39	0	3	4	1	1	274	299	-25	41	16	19	0	2	2	1	1	139	151	-12	41	18	20	0	1	2	0	0	135	148	-13	81	274	498	772	1	2	110	73	87	5	2419	777	854	773	20	2639	861	1102	1810	381	86	22.57%	450	98	78.22%	3	1433	2796	51.25%	1525	3089	49.37%	702	1320	53.18%	1937	1324	1987	611	1022	503
Total Regular Season	1558	516	784	0	47	46	84	81	4535	5445	-910	779	268	379	0	23	28	44	37	2322	2675	-353	779	248	405	0	24	18	40	44	2213	2770	-557	1307	4535	7825	12360	28	40	110	1471	1524	1304	47290	777	15344	15773	14945	51175	15471	20772	35120	7044	1312	18.63%	7679	1594	79.24%	81	26301	52122	50.46%	26543	54973	48.28%	12308	24797	49.64%	35435	23186	37605	12529	21611	10608
Playoff
2017	6	2	4	0	0	0	0	0	15	19	-4	3	2	1	0	0	0	0	0	8	6	2	3	0	3	0	0	0	0	0	7	13	-6	4	15	24	39	0	0	0	4	6	5	232	0	58	84	89	178	56	97	151	14	4	28.57%	23	1	95.65%	0	89	174	51.15%	75	143	52.45%	48	103	46.60%	123	69	2025	910	110	53
2018	6	2	4	0	0	0	0	0	17	18	-1	3	1	2	0	0	0	0	0	8	9	-1	3	1	2	0	0	0	0	0	9	9	0	4	17	31	48	0	0	0	2	7	7	165	0	48	62	54	175	61	93	117	14	4	28.57%	19	3	84.21%	0	61	135	45.19%	76	159	47.80%	38	90	42.22%	108	53	139	59	113	56
2020	7	3	4	0	0	0	0	0	17	17	0	3	1	2	0	0	0	0	0	8	9	-1	4	2	2	0	0	0	0	0	9	8	1	6	17	27	44	0	1	0	3	7	7	240	0	60	103	77	218	70	91	166	11	1	9.09%	18	3	83.33%	0	102	184	55.43%	87	183	47.54%	44	92	47.83%	148	86	148	63	122	58
2037	4	0	4	0	0	0	0	0	9	21	-12	2	0	2	0	0	0	0	0	5	12	-7	2	0	2	0	0	0	0	0	4	9	-5	0	9	16	25	0	0	5	3	1	0	126	42	31	39	14	183	40	48	107	26	1	3.85%	19	3	84.21%	0	90	179	50.28%	98	198	49.49%	43	75	57.33%	102	67	117	34	54	26
Total Playoff	23	7	16	0	0	0	0	0	58	75	-17	11	4	7	0	0	0	0	0	29	36	-7	12	3	9	0	0	0	0	0	29	39	-10	14	58	98	156	0	1	5	12	21	19	763	42	197	288	234	754	227	329	541	65	10	15.38%	79	10	87.34%	0	342	672	50.89%	336	683	49.19%	173	360	48.06%	482	277	2431	1068	401	195

Sharks 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	PKS	GW	GT	FO%	P/20
1	Janis Sprukts	108	15	24	39	-38	97	151	131	232	6.47%	56	1784	16.53	4	8	12	12	8	2	1	50.48%	0.44
2	Milan Michalek	13	5	7	12	10	15	17	20	42	11.90%	7	243	18.73	0	1	1	3	0	1	0	16.67%	0.99
3	Dustin Brown	7	3	7	10	6	27	16	10	34	8.82%	1	147	21.11	0	0	0	5	0	0	0	43.33%	1.35
4	Nikolai Antropov	13	2	7	9	-5	8	14	18	30	6.67%	7	259	19.93	1	2	3	4	1	0	0	38.96%	0.69
5	Sean Avery	6	4	2	6	-3	9	15	6	15	26.67%	5	121	20.28	2	1	3	4	0	0	1	55.56%	0.99

Sharks Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR
1	Jonas Hiller	7	3	4	0	0.922	2.43	419	2	1	17	218	82
2	Jose Theodore	6	2	3	1	0.893	3.11	367	4	0	19	178	71
3	Jose Theodore	6	2	4	0	0.897	2.99	361	0	0	18	175	65
4	Joonas Korpisalo	1	0	1	0	0.762	8.57	35	0	0	5	21	0
5	Vitek Vanecek	4	0	2	1	0.901	4.02	239	0	0	16	162	0