Canadian Hockey League

BlueJackets
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Game Center
	EvilSharks 47-25-9, 103pts	2	FINAL	1	Wolves 58-17-6, 122pts

Team Stats
L1	Streak	W1
26-11-4	Home Record	26-9-5
21-14-5	Away Record	32-8-1
4-5-1	Last 10 Games	7-2-1
3.38	Goals Per Game	3.32
3.09	Goals Against Per Game	2.25
16.23%	Power Play Percentage	13.98%
82.24%	Penalty Kill Percentage	90.19%

SilverKnights
53-20-9, 115pts

FINAL

EvilSharks
47-25-9, 103pts

Team Stats
W2	Streak	L1
30-9-2	Home Record	26-11-4
23-11-7	Away Record	21-14-5
8-2-0	Last 10 Games	4-5-1
3.48	Goals Per Game	3.38
2.89	Goals Against Per Game	3.09
20.88%	Power Play Percentage	16.23%
87.43%	Penalty Kill Percentage	82.24%

EvilSharks
47-25-9, 103pts

Day 179

Wolves
58-17-6, 122pts

Team Stats
L1	Streak	W1
26-11-4	Home Record	26-9-5
21-14-5	Away Record	32-8-1
4-5-1	Last 10 Games	7-2-1
3.38	Goals Per Game	3.32
3.09	Goals Against Per Game	2.25
16.23%	Power Play Percentage	13.98%
82.24%	Penalty Kill Percentage	90.19%

Team Leaders
	Goals Tomas Tatar 30	Assists Nicklas Backstrom 51

	Points Nicklas Backstrom 80	Plus/Minus Nicklas Backstrom 21

	Wins Remi Poirier 47	Save Percentage Evan Cormier 0.984

Team Stats
Goals For 274 3.38 GFG	Shots For 2212 27.31 Avg	Power Play Percentage 16.2% 56 GF	Offensive Zone Start 41.4%
Goals Against 250 3.09 GAA	Shots Against 2100 25.93 Avg	Penalty Kill Percentage 82.2% 65 GA	Defensive Zone Start 38.1%

Team Info
	General Manager	Jonathan Beaulieu
	Coach	Luke Richardson
	Division	North
	Conference	Eastern
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	21
	Farm Team	21
	Contract Limit	42 / 50
	Prospects	8
Team History
	This Season	47-25-9 (103PTS)
	History	1048-513-157 (0.610%)
	Playoff Appearances	18
	Playoff Record (W-L)	154-95
	Stanley Cup	5

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	Nicklas Backstrom	X				100.00	54	50	83	83	64	60	50	67	85	69	65	59	75	98	79	5	52	65	0	38	2	775,000$
2	Trevor Lewis	X				100.00	79	51	83	76	66	72	84	53	82	48	58	60	69	98	85	5	48	63	0	38	3	575,000$
3	Tomas Tatar		X			100.00	58	40	85	81	44	73	94	54	40	51	58	61	71	92	83	20	52	62	0	35	3	575,000$
4	Vinni Lettieri	X				100.00	94	42	85	79	49	77	61	53	40	46	59	70	40	82	80	45	52	62	0	30	3	575,000$
5	David Gustafsson	X				100.00	52	55	86	75	63	69	68	52	85	49	55	68	40	72	71	70	55	60	0	25	3	1,500,000$
6	Joey Anderson			X		100.00	56	50	90	75	65	75	55	47	40	45	50	84	40	76	76	60	52	60	0	27	1	1,500,000$
7	Michael Pezzetta		X			100.00	99	70	71	75	73	64	60	45	40	40	50	66	73	76	70	60	57	59	0	27	1	1,100,000$
8	Samuel Fagemo		X			100.00	66	52	80	77	61	76	66	53	40	41	65	50	90	72	74	70	50	59	0	25	1	1,200,000$
9	Cedric Pare		X			100.00	65	55	75	75	70	68	58	43	40	39	47	70	40	74	71	65	58	57	0	26	2	575,000$
10	Arnaud Durandeau		X			100.00	57	59	77	75	54	60	50	46	40	51	40	57	40	74	67	65	24	53	0	26	2	575,000$
11	Yan Kuznetsov				X	100.00	75	73	79	75	81	76	71	39	40	37	40	70	40	68	72	80	44	63	0	23	1	1,100,000$
12	William Lagesson				X	100.00	85	63	74	75	72	55	50	44	40	41	46	70	40	80	68	50	51	62	0	29	3	575,000$
13	Chad Ruhwedel				X	100.00	81	45	73	75	50	55	50	41	40	45	37	70	40	92	74	20	52	61	0	35	3	575,000$
14	Dylan Coghlan				X	100.00	55	52	78	82	60	55	50	64	40	56	70	50	40	76	66	60	56	60	0	27	2	575,000$
15	Jakub Zboril				X	100.00	73	50	77	75	58	55	50	37	40	43	30	53	40	78	67	55	45	55	0	28	2	575,000$
16	Christoffer Sedoff				X	100.00	59	54	80	75	70	65	60	36	40	33	38	50	40	68	67	80	49	55	0	23	2	575,000$
17	Max Wanner				X	100.00	51	43	71	75	59	55	50	31	40	29	33	65	40	66	61	85	32	54	0	22	2	575,000$
18	Mattias Norlinder				X	100.00	67	56	80	75	49	55	50	33	40	31	35	50	40	72	64	70	22	52	0	25	1	1,100,000$
Scratches
1	Riley McKay		X			100.00	67	74	25	75	57	60	50	34	40	31	37	59	40	74	67	65	20	50	0	26	2	575,000$

	TEAM AVERAGE					100.00	68	54	76	76	61	64	59	46	47	43	48	62	49	78	72	54	46	59

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	Remi Poirier	100.00	75	58	60	90	56	56	54	56	55	59	87	70	63	75	54	61	0	24	1	925,000$
2	Evan Cormier	100.00	75	50	60	92	50	50	50	50	50	50	87	78	64	55	73	58	0	28	3	575,000$
Scratches

	TEAM AVERAGE	100.00	75	54	60	91	53	53	52	53	53	55	87	74	64	65	64	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Luke Richardson	74	69	74	79	90	75	60	CAN	55	5	100,000$

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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nicklas Backstrom	EvilSharks (Cbj)	C	65	29	51	80	21	17	5	43	213	192	55	137	15.10%	9	1526	23.49	4	14	18	38	192	1	1	2	6	200	2	3	63.15%	1498	0	1.05	3	8	0	1	0	9	9	9
2	Tomas Tatar	EvilSharks (Cbj)	LW	66	30	33	63	19	22	0	84	125	181	45	131	16.57%	9	1347	20.41	8	9	17	31	242	1	1	2	7	185	6	3	37.21%	86	0	0.94	0	2	0	0	0	14	2	2
3	Nick DeSimone	BlueJackets	D	53	17	32	49	10	36	0	74	85	83	28	46	20.48%	70	1188	22.43	12	10	22	62	206	0	0	0	0	187	7	0	0.00%	0	0	0.82	0	0	0	0	0	3	5	3
4	Vinni Lettieri	EvilSharks (Cbj)	C	66	27	21	48	-2	70	0	149	131	169	24	88	15.98%	20	996	15.10	1	5	6	12	75	0	1	1	1	42	7	1	45.59%	805	0	0.96	0	0	0	0	0	5	4	4
5	David Gustafsson	EvilSharks (Cbj)	C	81	15	32	47	6	19	5	26	182	197	61	138	7.61%	19	1110	13.71	2	3	5	28	79	0	0	0	2	17	3	0	62.04%	1059	1	0.85	1	2	0	0	1	6	3	2
6	Joey Anderson	EvilSharks (Cbj)	RW	66	16	28	44	2	0	0	0	148	164	48	144	9.76%	18	1140	17.28	4	8	12	42	217	0	0	0	0	0	1	0	53.42%	73	0	0.77	0	0	0	0	0	5	2	2
7	Sasha Pastujov	BlueJackets	RW	45	13	22	35	9	12	0	36	97	106	23	78	12.26%	9	722	16.05	0	6	6	15	97	0	0	0	4	75	1	2	50.81%	124	0	0.97	1	2	0	0	0	2	8	3
8	Trevor Lewis	EvilSharks (Cbj)	C	66	12	21	33	-1	51	5	100	129	133	30	93	9.02%	13	1568	23.76	1	6	7	19	196	0	0	0	5	206	1	1	63.68%	1104	0	0.42	2	7	0	0	0	0	4	5
9	Dylan Coghlan	EvilSharks (Cbj)	D	81	8	23	31	1	42	10	55	69	67	18	27	11.94%	32	959	11.85	0	1	1	7	6	0	1	1	1	85	0	1	0.00%	0	0	0.65	0	0	0	1	1	3	3	0
10	Cedric Pare	EvilSharks (Cbj)	LW	81	8	22	30	4	28	0	64	76	86	26	62	9.30%	12	773	9.54	0	0	0	0	4	0	0	0	0	2	2	1	38.64%	44	0	0.78	0	1	0	0	0	2	3	4
11	Michael Pezzetta	EvilSharks (Cbj)	LW	66	8	21	29	1	103	15	221	74	100	26	74	8.00%	11	1089	16.51	1	8	9	22	210	0	0	0	0	14	1	1	51.47%	68	0	0.53	0	0	2	0	1	2	1	3
12	William Lagesson	EvilSharks (Cbj)	D	61	4	17	21	6	99	5	197	54	45	15	34	8.89%	56	1023	16.78	2	5	7	23	150	0	0	0	2	132	0	0	0.00%	0	0	0.41	0	0	0	0	1	0	4	2
13	Chad Ruhwedel	EvilSharks (Cbj)	D	66	3	16	19	-9	66	0	159	37	16	4	14	18.75%	47	725	10.99	0	0	0	1	2	0	0	0	0	38	0	0	25.00%	4	0	0.52	0	0	0	0	0	0	2	5
14	Jacob MacDonald	BlueJackets	D	23	7	11	18	4	32	0	58	24	45	12	31	15.56%	19	481	20.95	5	1	6	26	80	0	1	1	0	78	0	1	0.00%	0	0	0.75	0	0	0	0	0	3	1	2
15	Samuel Fagemo	EvilSharks (Cbj)	LW	66	8	6	14	-3	2	0	11	51	58	7	39	13.79%	9	818	12.41	0	0	0	0	8	1	0	1	4	167	3	1	39.11%	202	0	0.34	0	0	0	0	0	2	0	1
16	Yan Kuznetsov	EvilSharks (Cbj)	D	66	4	10	14	4	78	30	93	50	63	17	29	6.35%	52	1134	17.20	3	2	5	41	164	0	1	1	0	165	0	0	0.00%	0	0	0.25	0	0	2	3	1	0	0	1
17	Christoffer Sedoff	EvilSharks (Cbj)	D	73	1	4	5	1	18	0	55	7	9	2	12	11.11%	28	505	6.92	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0.20	0	0	0	0	0	0	0	2
18	Jakub Zboril	EvilSharks (Cbj)	D	47	0	4	4	2	24	0	54	8	4	0	1	0.00%	19	285	6.07	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.28	0	0	0	0	0	0	1	0
19	Arnaud Durandeau	EvilSharks (Cbj)	LW	11	0	1	1	0	0	0	1	2	2	0	1	0.00%	0	18	1.64	0	1	1	0	3	0	0	0	0	0	0	0	27.27%	11	0	1.11	0	0	0	0	0	0	0	1
20	Max Wanner	EvilSharks (Cbj)	D	22	0	0	0	0	0	0	1	0	0	1	0	0.00%	0	41	1.89	0	0	0	0	9	0	0	0	0	10	0	0	0.00%	3	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1171	210	375	585	75	719	75	1481	1562	1720	442	1179	12.21%	452	17458	14.91	43	79	122	367	1948	3	6	9	32	1612	34	15	57.90%	5081	1	0.67	7	22	4	5	5	56	52	51

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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Remi Poirier	EvilSharks (Cbj)	81	47	25	9	0.880	3.04	4772	2	4	242	2021	3	1	0.655	29	81	15	3	5	3
2	Evan Cormier	EvilSharks (Cbj)	4	0	0	0	0.984	0.46	131	0	0	1	63	0	0	0.000	0	0	66	0	0	0
Team Total or Average			85	47	25	9	0.883	2.97	4904	2	4	243	2084	3	1	0.655	29	81	81	3	5	3

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	2039	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2040	2041	2042	Link
Arnaud Durandeau	EvilSharks (Cbj)	LW	26	1999-01-14	No	185 Lbs	6 ft0	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA		Link / NHL Link
Cedric Pare	EvilSharks (Cbj)	LW	26	1999-01-24	No	205 Lbs	6 ft3	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA		Link / NHL Link
Chad Ruhwedel	EvilSharks (Cbj)	D	35	1990-05-07	No	182 Lbs	5 ft11	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA	Link / NHL Link
Christoffer Sedoff	EvilSharks (Cbj)	D	23	2002-02-20	No	210 Lbs	6 ft2	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	RFA		Link / NHL Link
David Gustafsson	EvilSharks (Cbj)	C	25	2000-04-11	No	196 Lbs	6 ft2	No	No	No	3	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	UFA	Link / NHL Link
Dylan Coghlan	EvilSharks (Cbj)	D	27	1998-02-19	No	189 Lbs	6 ft2	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA		Link / NHL Link
Evan Cormier	EvilSharks (Cbj)	G	28	1997-11-06	No	205 Lbs	6 ft3	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA	Link / NHL Link
Jakub Zboril	EvilSharks (Cbj)	D	28	1997-02-21	No	194 Lbs	6 ft0	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA		Link / NHL Link
Joey Anderson	EvilSharks (Cbj)	RW	27	1998-06-19	No	207 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,500,000$	0$	0$	No	UFA			Link / NHL Link
Mattias Norlinder	EvilSharks (Cbj)	D	25	2000-04-12	No	179 Lbs	5 ft11	No	No	No	1	Pro & Farm	1,100,000$	0$	0$	No	RFA			Link / NHL Link
Max Wanner	EvilSharks (Cbj)	D	22	2003-03-12	No	184 Lbs	6 ft3	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	RFA		Link / NHL Link
Michael Pezzetta	EvilSharks (Cbj)	LW	27	1998-03-13	No	219 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,100,000$	0$	0$	No	UFA			Link / NHL Link
Nicklas Backstrom	EvilSharks (Cbj)	C	38	1987-11-23	No	202 Lbs	6 ft1	No	No	No	2	Pro & Farm	775,000$	0$	0$	No	775,000$	UFA		Link / NHL Link
Remi Poirier	EvilSharks (Cbj)	G	24	2001-10-06	No	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	0$	0$	No	RFA			Link / NHL Link
Riley McKay	EvilSharks (Cbj)	LW	26	1999-03-07	No	196 Lbs	5 ft11	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA		Link / NHL Link
Samuel Fagemo	EvilSharks (Cbj)	LW	25	2000-03-14	No	200 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,200,000$	0$	0$	No	RFA			Link / NHL Link
Tomas Tatar	EvilSharks (Cbj)	LW	35	1990-12-01	No	173 Lbs	5 ft10	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA	Link / NHL Link
Trevor Lewis	EvilSharks (Cbj)	C	38	1987-01-08	No	205 Lbs	6 ft1	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA	Link / NHL Link
Vinni Lettieri	EvilSharks (Cbj)	C	30	1995-02-06	No	184 Lbs	5 ft10	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA	Link / NHL Link
William Lagesson	EvilSharks (Cbj)	D	29	1996-02-22	No	214 Lbs	6 ft2	No	No	No	3	Pro & Farm	575,000$	0$	0$	No	575,000$	575,000$	UFA	Link / NHL Link
Yan Kuznetsov	EvilSharks (Cbj)	D	23	2002-03-09	No	220 Lbs	6 ft5	No	No	No	1	Pro & Farm	1,100,000$	0$	0$	No	RFA			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	27.95	198 Lbs	6 ft1	2.05	794,048$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tomas Tatar	Nicklas Backstrom		40	1	2	2
2	Michael Pezzetta	Trevor Lewis	Joey Anderson	30	1	2	2
3	Samuel Fagemo	Vinni Lettieri	Nicklas Backstrom	20	1	2	2
4	Cedric Pare	David Gustafsson	Trevor Lewis	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2	Yan Kuznetsov	William Lagesson	30	1	2	2
3	Dylan Coghlan	Chad Ruhwedel	20	1	2	2
4		Christoffer Sedoff	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tomas Tatar	Nicklas Backstrom		60	1	2	2
2	Michael Pezzetta	Trevor Lewis	Joey Anderson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Yan Kuznetsov	William Lagesson	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nicklas Backstrom	Trevor Lewis	60	1	2	2
2		Tomas Tatar	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Yan Kuznetsov	William Lagesson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nicklas Backstrom	60	1	2	2			60	1	2	2
2	Trevor Lewis	40	1	2	2	Yan Kuznetsov	William Lagesson	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Nicklas Backstrom	Trevor Lewis	60	1	2	2
2		Tomas Tatar	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Yan Kuznetsov	William Lagesson	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tomas Tatar	Nicklas Backstrom

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tomas Tatar	Nicklas Backstrom

Extra Forwards
Normal	PowerPlay	Penalty Kill
Vinni Lettieri, David Gustafsson, Samuel Fagemo	Vinni Lettieri, David Gustafsson	Samuel Fagemo

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Dylan Coghlan, Chad Ruhwedel		Dylan Coghlan, Chad Ruhwedel

Penalty Shots
Nicklas Backstrom, Trevor Lewis, , Tomas Tatar, Vinni Lettieri

Goalie
#1 : Remi Poirier, #2 : Evan Cormier

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	Bandits	1	0	1	0	0	0	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	6	7	-1	0	0.000	6	11	17	0	0	89	100	77	11	35	701	750	737	52	35	14	12	31	8	3	37.50%	6	2	66.67%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
2	BaronsOKC	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	89	100	77	11	33	701	750	737	52	35	16	12	30	8	2	25.00%	6	0	100.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
3	BigBadStars	6	2	4	0	0	0	0	0	19	25	-6	3	2	1	0	0	0	0	0	14	13	1	3	0	3	0	0	0	0	0	5	12	-7	4	0.333	19	33	52	0	0	89	100	77	11	189	701	750	737	52	173	51	59	131	26	5	19.23%	26	5	80.77%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
4	Checkers	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	89	100	77	11	26	701	750	737	52	17	5	8	25	6	2	33.33%	4	1	75.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
5	Cyclones	2	1	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	0	2	-2	1	1	0	0	0	0	0	0	1	0	1	2	0.500	1	2	3	0	1	89	100	77	11	26	701	750	737	52	38	7	14	50	9	0	0.00%	7	1	85.71%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
6	Darkness	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	10	16	0	0	89	100	77	11	36	701	750	737	52	30	6	27	50	5	0	0.00%	11	1	90.91%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
7	Draveurs	1	1	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	8	2	6	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	13	21	0	0	89	100	77	11	33	701	750	737	52	26	16	4	32	5	3	60.00%	2	0	100.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
8	Eagles	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	3	5	0	0	89	100	77	11	28	701	750	737	52	23	6	8	28	4	0	0.00%	4	0	100.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
9	Griffins	2	1	0	0	0	1	0	0	7	4	3	1	0	0	0	0	1	0	0	3	4	-1	1	1	0	0	0	0	0	0	4	0	4	3	0.750	7	14	21	0	1	89	100	77	11	54	701	750	737	52	41	18	24	45	15	3	20.00%	11	1	90.91%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
10	HC	2	2	0	0	0	0	0	0	10	6	4	2	2	0	0	0	0	0	0	10	6	4	0	0	0	0	0	0	0	0	0	0	0	4	1.000	10	18	28	0	0	89	100	77	11	58	701	750	737	52	59	14	28	41	9	1	11.11%	12	1	91.67%	1	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
11	IceBears	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	4	1	2	1.000	5	9	14	0	0	89	100	77	11	33	701	750	737	52	29	16	8	17	6	1	16.67%	4	1	75.00%	1	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
12	IceHawks	6	4	1	0	0	0	1	0	20	13	7	3	3	0	0	0	0	0	0	12	6	6	3	1	1	0	0	0	1	0	8	7	1	10	0.833	20	34	54	0	0	89	100	77	11	153	701	750	737	52	99	25	89	124	25	2	8.00%	24	5	79.17%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
13	IceHogs	6	2	2	0	0	1	1	0	26	27	-1	3	1	1	0	0	0	1	0	12	12	0	3	1	1	0	0	1	0	0	14	15	-1	7	0.583	26	41	67	0	0	89	100	77	11	199	701	750	737	52	201	53	97	146	28	6	21.43%	29	3	89.66%	1	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
14	Iceberg	1	1	0	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	10	16	0	0	89	100	77	11	34	701	750	737	52	34	12	14	32	4	2	50.00%	6	1	83.33%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
15	Magics	7	3	1	0	1	0	1	1	23	14	9	4	2	0	0	1	0	0	1	13	7	6	3	1	1	0	0	0	1	0	10	7	3	11	0.786	23	41	64	0	1	89	100	77	11	200	701	750	737	52	136	49	75	164	25	6	24.00%	31	2	93.55%	1	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
16	Mighty Ducks	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	89	100	77	11	30	701	750	737	52	32	13	15	27	2	0	0.00%	5	2	60.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
17	National	2	1	0	0	0	0	0	1	5	5	0	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	5	8	13	0	0	89	100	77	11	45	701	750	737	52	50	13	20	46	8	1	12.50%	8	2	75.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
18	Nordiques	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	89	100	77	11	15	701	750	737	52	20	4	8	24	5	0	0.00%	4	0	100.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
19	Oceanic	2	1	0	0	0	1	0	0	6	4	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	6	12	18	0	0	89	100	77	11	34	701	750	737	52	34	15	10	42	8	1	12.50%	5	0	100.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
20	Pantheres	3	1	2	0	0	0	0	0	9	14	-5	2	1	1	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	2	6	-4	2	0.333	9	14	23	0	0	89	100	77	11	78	701	750	737	52	98	25	51	76	13	2	15.38%	17	4	76.47%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
21	Remparts	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	3	6	9	1	0	89	100	77	11	28	701	750	737	52	28	7	12	30	6	1	16.67%	5	3	40.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
22	Roadrunners	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	89	100	77	11	26	701	750	737	52	20	9	6	38	2	1	50.00%	3	0	100.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
23	Sagueneens	7	4	2	0	1	0	0	0	26	22	4	3	2	1	0	0	0	0	0	12	11	1	4	2	1	0	1	0	0	0	14	11	3	10	0.714	26	49	75	0	0	89	100	77	11	204	701	750	737	52	180	56	94	166	35	5	14.29%	36	8	77.78%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
24	Senators	2	0	1	0	0	0	1	0	6	6	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	0	1	0	4	3	1	2	0.500	6	8	14	0	0	89	100	77	11	59	701	750	737	52	49	14	24	49	5	0	0.00%	10	4	60.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
25	SilverKnights	3	2	1	0	0	0	0	0	10	8	2	1	0	1	0	0	0	0	0	3	4	-1	2	2	0	0	0	0	0	0	7	4	3	4	0.667	10	18	28	0	0	89	100	77	11	66	701	750	737	52	91	16	26	62	12	1	8.33%	12	2	83.33%	1	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
26	Spiders	2	1	0	0	1	0	0	0	8	5	3	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	8	14	22	0	0	89	100	77	11	54	701	750	737	52	55	19	26	63	9	1	11.11%	12	2	83.33%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
27	Thunder	6	1	4	0	0	1	0	0	21	29	-8	3	1	2	0	0	0	0	0	12	13	-1	3	0	2	0	0	1	0	0	9	16	-7	3	0.250	21	36	57	0	0	89	100	77	11	187	701	750	737	52	241	60	66	161	28	2	7.14%	33	8	75.76%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
28	Vikings	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	89	100	77	11	32	701	750	737	52	19	8	4	28	4	2	50.00%	2	0	100.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
29	WolfPack	2	2	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	5	9	14	0	1	89	100	77	11	50	701	750	737	52	31	11	10	39	7	1	14.29%	5	0	100.00%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
30	Wolves	7	2	3	0	0	0	0	2	17	23	-6	3	0	1	0	0	0	0	2	6	10	-4	4	2	2	0	0	0	0	0	11	13	-2	6	0.429	17	32	49	0	0	89	100	77	11	167	701	750	737	52	176	50	57	166	18	2	11.11%	26	6	76.92%	0	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
	Total	81	39	25	0	3	4	5	5	274	250	24	41	22	11	0	2	1	2	3	148	122	26	40	17	14	0	1	3	3	2	126	128	-2	103	0.636	274	480	754	1	4	89	100	77	11	2212	701	750	737	52	2100	628	908	1963	345	56	16.23%	366	65	82.24%	5	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
	_Since Last GM Reset	81	39	25	0	3	4	5	5	274	250	24	41	22	11	0	2	1	2	3	148	122	26	40	17	14	0	1	3	3	2	126	128	-2	103	0.636	274	480	754	1	4	89	100	77	11	2212	701	750	737	52	2100	628	908	1963	345	56	16.23%	366	65	82.24%	5	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
	_Vs Conference	60	25	20	0	3	4	4	4	199	194	5	30	15	8	0	2	1	1	3	108	95	13	30	10	12	0	1	3	3	1	91	99	-8	72	0.600	199	346	545	0	2	89	100	77	11	1659	701	750	737	52	1563	454	719	1429	248	36	14.52%	279	51	81.72%	2	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
	_Vs Division	23	16	13	0	2	2	3	3	82	57	25	11	9	5	0	1	0	1	3	42	28	14	12	7	8	0	1	2	2	0	40	29	11	47	1.022	82	148	230	0	2	89	100	77	11	638	701	750	737	52	506	179	247	551	103	20	19.42%	103	16	84.47%	1	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
81	103	L1	274	480	754	2212	2100	628	908	1963	1	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
81	39	25	3	4	5	5	274	250

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	11	2	1	2	3	148	122

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	17	14	1	3	3	2	126	128

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	5	1	1	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
345	56	16.23%	366	65	82.24%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
701	750	737	52	89	100	77	11

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2040	1449	1894	560	989	503

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	Link
1	8	EvilSharks	7	Sagueneens	4	AW			BoxScore
2	14	EvilSharks	5	Wolves	3	AW			BoxScore
4	26	Magics	3	EvilSharks	2	BL	X	X	BoxScore
7	47	IceHawks	3	EvilSharks	6	BW			BoxScore
12	74	BigBadStars	5	EvilSharks	7	BW			BoxScore
13	83	EvilSharks	2	Wolves	4	AL			BoxScore
16	98	EvilSharks	5	IceHogs	4	AW			BoxScore
18	116	Sagueneens	3	EvilSharks	7	BW			BoxScore
21	134	Wolves	4	EvilSharks	3	BL	X	X	BoxScore
23	153	EvilSharks	1	Sagueneens	3	AL			BoxScore
25	165	Magics	2	EvilSharks	3	BW	X		BoxScore
29	188	EvilSharks	2	Thunder	6	AL			BoxScore
31	201	Thunder	3	EvilSharks	5	BW			BoxScore
33	215	EvilSharks	5	Magics	1	AW			BoxScore
35	232	IceHogs	3	EvilSharks	4	BW			BoxScore
37	251	EvilSharks	6	IceHogs	7	AL	X		BoxScore
38	254	EvilSharks	1	BigBadStars	2	AL			BoxScore
40	271	Iceberg	5	EvilSharks	6	BW			BoxScore
42	289	Darkness	1	EvilSharks	3	BW			BoxScore
45	306	EvilSharks	3	Spiders	1	AW			BoxScore
47	322	EvilSharks	3	Thunder	5	AL			BoxScore
48	333	Cyclones	2	EvilSharks	0	BL			BoxScore
51	353	National	2	EvilSharks	3	BW			BoxScore
54	376	EvilSharks	2	Pantheres	6	AL			BoxScore
55	384	Spiders	4	EvilSharks	5	BW	X		BoxScore
58	408	Nordiques	3	EvilSharks	1	BL			BoxScore
61	422	EvilSharks	3	IceHogs	4	AL			BoxScore
63	438	EvilSharks	2	Eagles	3	AL	X	X	BoxScore
64	450	HC	3	EvilSharks	5	BW			BoxScore
65	458	EvilSharks	2	Wolves	5	AL			BoxScore
68	480	Oceanic	1	EvilSharks	4	BW			BoxScore
69	488	EvilSharks	4	IceHawks	3	AW	X	X	BoxScore
72	514	BigBadStars	2	EvilSharks	6	BW			BoxScore
75	534	BigBadStars	6	EvilSharks	1	BL			BoxScore
77	545	EvilSharks	3	BigBadStars	5	AL			BoxScore
79	564	IceHogs	5	EvilSharks	3	BL			BoxScore
81	582	EvilSharks	3	IceHawks	1	AW			BoxScore
83	595	IceHogs	4	EvilSharks	5	BW	X	X	BoxScore
85	607	EvilSharks	1	BigBadStars	5	AL			BoxScore
87	626	HC	3	EvilSharks	5	BW			BoxScore
89	640	EvilSharks	1	Cyclones	0	AW			BoxScore
91	656	Thunder	5	EvilSharks	3	BL			BoxScore
93	670	EvilSharks	3	Darkness	2	AW			BoxScore
95	682	EvilSharks	2	National	3	AL	X	X	BoxScore
97	694	EvilSharks	4	Sagueneens	3	AW			BoxScore
98	705	Magics	2	EvilSharks	5	BW			BoxScore
101	725	Roadrunners	1	EvilSharks	2	BW			BoxScore
103	735	EvilSharks	5	IceBears	4	AW			BoxScore
107	759	BaronsOKC	1	EvilSharks	4	BW			BoxScore
109	779	EvilSharks	4	Griffins	0	AW			BoxScore
110	789	Draveurs	2	EvilSharks	8	BW			BoxScore
113	807	EvilSharks	3	WolfPack	1	AW			BoxScore
115	821	Thunder	5	EvilSharks	4	BL			BoxScore
118	838	EvilSharks	4	Checkers	2	AW			BoxScore
119	851	IceHawks	2	EvilSharks	3	BW			BoxScore
123	873	IceHawks	1	EvilSharks	3	BW			BoxScore
125	894	EvilSharks	1	IceHawks	3	AL			BoxScore
127	907	Vikings	3	EvilSharks	4	BW	X	X	BoxScore
128	917	EvilSharks	4	Mighty Ducks	3	AW			BoxScore
131	937	EvilSharks	4	Senators	3	AW	X	X	BoxScore
132	946	Griffins	4	EvilSharks	3	BL	X		BoxScore
134	965	EvilSharks	3	Remparts	5	AL			BoxScore
135	975	Magics	0	EvilSharks	3	BW			BoxScore
138	995	EvilSharks	3	SilverKnights	2	AW			BoxScore
140	1006	Pantheres	2	EvilSharks	5	BW			BoxScore
141	1018	EvilSharks	6	Bandits	7	AL			BoxScore
144	1037	Wolves	3	EvilSharks	2	BL	X	X	BoxScore
146	1058	EvilSharks	4	SilverKnights	2	AW			BoxScore
147	1064	Sagueneens	5	EvilSharks	1	BL			BoxScore
150	1082	EvilSharks	2	Oceanic	3	AL	X		BoxScore
152	1099	WolfPack	0	EvilSharks	2	BW			BoxScore
155	1113	EvilSharks	2	Magics	1	AW	X	X	BoxScore
157	1131	Pantheres	6	EvilSharks	2	BL			BoxScore
160	1153	EvilSharks	4	Thunder	5	AL	X		BoxScore
161	1162	Sagueneens	3	EvilSharks	4	BW			BoxScore
163	1177	EvilSharks	3	Magics	5	AL			BoxScore
166	1193	Wolves	3	EvilSharks	1	BL			BoxScore
167	1200	EvilSharks	2	Sagueneens	1	AW	X		BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
171	1222	Senators	3	EvilSharks	2	BL			BoxScore
172	1231	EvilSharks	2	Wolves	1	AW			BoxScore
176	1251	SilverKnights	4	EvilSharks	3	BL			BoxScore
179	1270	EvilSharks	-	Wolves	-

EvilSharks 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	Kevin Shattenkirk	1400	272	432	704	91	1230	1899	1813	2790	9.75%	737	22980	16.41	57	96	153	307	4	8	12	76	39	20	50.52%	8	0.61	13	48
2	Dmitry Kulikov	472	65	217	282	121	510	1101	591	838	7.76%	516	10956	23.21	35	63	98	367	1	4	5	14	10	5	50.00%	0	0.51	0	0
3	Michael Stone	351	69	170	239	69	492	865	407	637	10.83%	316	7645	21.78	34	70	104	388	2	3	5	10	10	12	0.00%	0	0.63	0	0
4	Mikael Backlund	379	97	140	237	74	109	367	759	908	10.68%	116	6129	16.17	8	22	30	64	2	4	6	23	23	4	58.59%	2	0.77	3	16
5	Stefan Ruzicka	381	105	112	217	62	407	635	471	953	11.02%	84	6483	17.02	16	29	45	118	1	1	2	12	17	4	42.52%	2	0.67	4	14

EvilSharks 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	Robin Lehner	166	119	29	18	0.920	1.64	10093	8	29	276	3460	0	12	2	0.728	92
2	Mikael Tellqvist	147	108	28	11	0.915	1.70	8886	6	25	252	2952	0	4	0	0.818	66
3	Anton Forsberg	145	90	45	9	0.904	2.12	8705	6	12	308	3221	0	8	5	0.783	60
4	Calvin Pickard	109	83	17	9	0.906	1.96	6557	12	12	214	2272	0	1	0	0.733	45
5	Cory Schneider	105	70	27	8	0.918	1.64	6345	4	17	173	2117	240	7	2	0.684	57

EvilSharks 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	36	31	0	3	1	5	6	283	256	27	41	15	15	0	3	0	3	5	137	132	5	41	21	16	0	0	1	2	1	146	124	22	79	283	443	726	0	0	0	78	105	92	2856	0	984	1003	847	2501	788	1291	1973	313	60	19.17%	267	51	80.90%	5	999	2009	49.73%	943	1906	49.48%	773	1426	54.21%	1784	971	1778	857	1607	813
2018	82	39	29	0	4	3	3	4	289	254	35	41	20	13	0	2	1	2	3	143	125	18	41	19	16	0	2	2	1	1	146	129	17	89	289	473	762	0	0	0	65	119	98	2725	0	804	1037	860	2460	797	1204	2180	227	49	21.59%	215	47	78.14%	5	1024	1905	53.75%	953	1837	51.88%	697	1394	50.00%	1736	934	1601	788	1630	810
2019	81	36	30	0	3	2	6	4	289	260	29	40	16	14	0	2	1	4	3	141	133	8	41	20	16	0	1	1	2	1	148	127	21	80	289	454	743	3	2	0	65	100	115	2743	0	793	946	979	2390	816	1259	1935	233	63	27.04%	221	51	76.92%	5	1120	1980	56.57%	1008	1855	54.34%	642	1221	52.58%	1765	958	1522	769	1632	827
2020	82	43	26	0	6	1	3	3	318	262	56	41	22	14	0	3	0	0	2	153	128	25	41	21	12	0	3	1	3	1	165	134	31	99	318	511	829	2	1	0	71	122	116	2879	0	856	1052	947	2552	862	1134	2018	232	64	27.59%	226	41	81.86%	2	1078	2021	53.34%	1024	1900	53.89%	711	1328	53.54%	1753	974	1648	785	1560	760
2021	82	43	22	0	2	3	8	4	194	137	57	41	26	7	0	0	2	6	0	112	67	45	41	17	15	0	2	1	2	4	82	70	12	93	194	325	519	3	14	0	61	63	60	1920	0	621	652	617	1433	408	745	1790	393	51	12.98%	321	35	89.10%	1	1314	2551	51.51%	1024	2156	47.50%	586	1137	51.54%	2149	1515	1805	589	1036	542
2022	81	39	26	0	2	0	6	8	172	134	38	40	21	12	0	2	0	2	3	79	62	17	41	18	14	0	0	0	4	5	93	72	21	82	172	300	472	1	12	0	64	57	43	1861	0	640	612	586	1523	412	830	1910	389	59	15.17%	369	34	90.79%	6	1256	2519	49.86%	1042	2308	45.15%	522	1077	48.47%	2066	1447	1869	590	1000	513
2023	81	49	15	0	2	4	4	7	240	149	91	40	26	7	0	0	3	1	3	129	75	54	41	23	8	0	2	1	3	4	111	74	37	106	240	427	667	1	9	0	82	76	76	2001	0	648	646	687	1662	541	1120	1917	395	76	19.24%	427	38	91.10%	7	1453	2497	58.19%	1293	2326	55.59%	696	1165	59.74%	2173	1557	1772	565	978	513
2024	82	52	14	0	1	1	8	6	244	140	104	41	27	7	0	0	1	5	1	135	71	64	41	25	7	0	1	0	3	5	109	69	40	129	244	425	669	1	18	0	76	89	70	2087	0	652	710	709	1736	498	935	2177	380	87	22.89%	395	35	91.14%	3	1356	2585	52.46%	1179	2382	49.50%	553	1146	48.25%	2212	1574	1773	572	1010	532
2025	82	48	12	0	5	3	9	5	251	159	92	41	23	9	0	2	1	4	2	121	82	39	41	25	3	0	3	2	5	3	130	77	53	132	251	438	689	0	11	0	94	68	75	1934	0	650	615	639	1687	500	881	1865	369	76	20.60%	385	49	87.27%	4	1473	2549	57.79%	1286	2316	55.53%	658	1177	55.90%	2261	1604	1715	570	1030	557
2026	82	48	20	0	4	3	5	2	225	143	82	41	25	8	0	2	1	3	2	121	70	51	41	23	12	0	2	2	2	0	104	73	31	119	225	399	624	0	13	0	72	70	74	1903	0	618	629	644	1665	480	853	1797	373	69	18.50%	334	38	88.62%	2	1359	2508	54.19%	1125	2262	49.73%	622	1178	52.80%	2181	1540	1758	571	1031	546
2027	82	55	17	0	1	3	3	3	283	165	118	41	29	8	0	1	1	2	0	148	84	64	41	26	9	0	0	2	1	3	135	81	54	124	283	502	785	1	9	0	102	84	93	2277	0	788	731	741	1696	474	675	1864	384	64	16.67%	299	37	87.63%	5	1613	2641	61.08%	1286	2207	58.27%	729	1197	60.90%	2303	1677	1662	541	995	542
2030	82	52	10	0	4	2	8	6	259	155	104	41	30	3	0	2	1	1	4	132	69	63	41	22	7	0	2	1	7	2	127	86	41	136	259	444	703	1	11	0	105	80	62	2130	0	725	687	681	1746	474	835	1880	416	59	14.18%	346	30	91.33%	2	1398	2594	53.89%	1230	2299	53.50%	685	1220	56.15%	2239	1603	1749	565	1016	541
2031	82	41	25	0	3	2	6	5	236	185	51	41	21	13	0	2	0	3	2	112	80	32	41	20	12	0	1	2	3	3	124	105	19	107	236	412	648	3	6	0	83	77	67	1921	0	627	655	616	1829	491	913	2028	383	65	16.97%	368	62	83.15%	4	1003	2330	43.05%	970	2333	41.58%	497	1231	40.37%	1984	1391	1996	599	1008	498
2032	82	41	26	0	1	2	8	4	248	203	45	41	21	13	0	0	0	4	3	126	94	32	41	20	13	0	1	2	4	1	122	109	13	106	248	415	663	2	4	0	79	89	71	1904	0	616	619	663	1915	539	805	1932	362	62	17.13%	342	51	85.09%	3	1133	2342	48.38%	1081	2426	44.56%	617	1193	51.72%	2000	1399	1965	591	1016	512
2033	82	36	30	0	5	4	3	4	314	295	19	41	20	13	0	2	2	3	1	160	141	19	41	16	17	0	3	2	0	3	154	154	0	96	314	593	907	0	2	0	107	109	90	2959	0	977	952	982	2536	711	811	2169	327	50	15.29%	345	59	82.90%	5	1237	2841	43.54%	1203	2705	44.47%	581	1351	43.01%	1884	1346	2125	588	967	459
2034	82	46	24	0	1	4	1	6	336	291	45	41	22	12	0	1	3	0	3	171	158	13	41	24	12	0	0	1	1	3	165	133	32	106	336	641	977	0	6	0	133	101	100	3114	0	994	1069	1031	2583	755	777	2151	350	56	16.00%	334	59	82.34%	2	1338	2945	45.43%	1221	2677	45.61%	610	1384	44.08%	1913	1376	2084	590	965	459
2035	82	48	24	0	3	2	2	3	319	283	36	41	29	10	0	1	1	0	0	173	140	33	41	19	14	0	2	1	2	3	146	143	3	111	319	599	918	2	2	0	122	103	89	2994	0	1017	1026	932	2568	756	817	2154	322	48	14.91%	356	61	82.87%	2	1312	2849	46.05%	1184	2699	43.87%	595	1369	43.46%	1858	1328	2145	582	947	450
2036	80	31	34	0	4	4	5	2	249	261	-12	40	14	14	0	4	3	3	2	132	130	2	40	17	20	0	0	1	2	0	117	131	-14	86	249	457	706	1	4	0	83	78	79	2218	0	726	707	755	2331	633	908	2056	317	59	18.61%	369	57	84.55%	4	1156	2381	48.55%	1213	2490	48.71%	626	1239	50.52%	1873	1310	2019	574	959	469
2037	82	31	37	0	1	4	3	6	260	283	-23	41	17	16	0	1	1	3	3	136	131	5	41	14	21	0	0	3	0	3	124	152	-28	80	260	477	737	1	0	104	86	66	9	2409	836	779	780	45	2288	663	900	2119	362	61	16.85%	379	66	82.59%	5	1247	2628	47.45%	1182	2484	47.58%	644	1290	49.92%	2018	1456	2000	567	955	473
2038	78	31	36	0	4	4	1	2	239	258	-19	39	18	14	0	2	2	1	2	115	114	1	39	13	22	0	2	2	0	0	124	144	-20	78	239	414	653	0	5	86	82	66	7	2047	658	680	687	29	2104	586	748	1827	328	65	19.82%	331	63	80.97%	5	1272	2382	53.40%	1128	2246	50.22%	644	1229	52.40%	1925	1353	1833	546	955	482
2039	81	39	25	0	3	4	5	5	274	250	24	41	22	11	0	2	1	2	3	148	122	26	40	17	14	0	1	3	3	2	126	128	-2	103	274	480	754	1	4	89	100	77	11	2212	701	750	737	52	2100	628	908	1963	345	56	16.23%	366	65	82.24%	5	1445	2499	57.82%	1259	2301	54.72%	724	1242	58.29%	2040	1449	1894	560	989	503
Total Regular Season	1712	884	513	0	62	56	102	95	5522	4523	999	855	464	233	0	34	25	52	47	2824	2208	616	857	420	280	0	28	31	50	48	2698	2315	383	2141	5522	9629	15151	23	133	279	1810	1799	1497	49094	2195	15945	16552	14042	43305	12812	19349	41705	7200	1299	18.04%	6995	1029	85.29%	82	26586	51556	51.57%	23834	48115	49.54%	13412	26194	51.20%	42128	28772	38723	12970	23298	11812
Playoff
2017	16	10	6	0	0	0	0	0	49	44	5	9	7	2	0	0	0	0	0	28	22	6	7	3	4	0	0	0	0	0	21	22	-1	20	49	93	142	0	0	0	24	11	13	586	0	182	223	179	455	162	235	438	71	9	12.68%	28	4	85.71%	0	219	410	53.41%	176	357	49.30%	132	273	48.35%	368	213	2075	1002	296	154
2018	16	9	7	0	0	0	0	0	58	51	7	7	5	2	0	0	0	0	0	30	22	8	9	4	5	0	0	0	0	0	28	29	-1	18	58	96	154	0	0	0	17	19	18	574	0	168	213	171	476	165	231	420	46	9	19.57%	52	12	76.92%	0	216	423	51.06%	181	351	51.57%	140	267	52.43%	342	186	322	158	315	153
2019	18	11	7	0	0	0	0	0	58	50	8	8	5	3	0	0	0	0	0	29	21	8	10	6	4	0	0	0	0	0	29	29	0	22	58	98	156	0	0	0	14	20	21	617	0	183	225	199	627	205	266	394	47	6	12.77%	39	4	89.74%	1	267	467	57.17%	272	456	59.65%	169	299	56.52%	376	206	378	166	337	173
2020	6	2	4	0	0	0	0	0	17	17	0	3	2	1	0	0	0	0	0	10	7	3	3	0	3	0	0	0	0	0	7	10	-3	4	17	29	46	1	0	0	5	8	4	193	0	53	75	65	182	48	55	148	12	3	25.00%	19	5	73.68%	0	72	147	48.98%	67	128	52.34%	42	85	49.41%	125	67	118	56	117	60
2021	5	1	4	0	0	0	0	0	8	12	-4	3	1	2	0	0	0	0	0	5	7	-2	2	0	2	0	0	0	0	0	3	5	-2	2	8	14	22	0	0	0	2	4	2	99	0	31	33	27	118	26	34	110	17	1	5.88%	16	1	93.75%	0	66	139	47.48%	56	152	36.84%	33	70	47.14%	122	84	127	37	64	31
2022	18	9	9	0	0	0	0	0	36	32	4	8	3	5	0	0	0	0	0	12	13	-1	10	6	4	0	0	0	0	0	24	19	5	18	36	64	100	0	4	0	11	8	17	334	0	99	100	127	404	132	181	368	95	21	22.11%	75	5	93.33%	0	228	492	46.34%	240	550	43.64%	111	244	45.49%	427	293	453	133	227	114
2023	19	16	3	0	0	0	0	0	49	24	25	10	9	1	0	0	0	0	0	29	13	16	9	7	2	0	0	0	0	0	20	11	9	32	49	88	137	0	4	0	21	12	14	418	0	130	134	138	405	107	290	442	94	13	13.83%	111	11	90.09%	0	314	559	56.17%	294	585	50.26%	112	260	43.08%	490	341	451	146	243	125
2024	20	16	4	0	0	0	0	0	50	33	17	11	11	0	0	0	0	0	0	31	13	18	9	5	4	0	0	0	0	0	19	20	-1	32	50	87	137	1	4	0	17	14	17	464	0	134	161	150	345	92	232	495	104	15	14.42%	98	9	90.82%	1	324	629	51.51%	268	549	48.82%	135	270	50.00%	534	370	465	153	268	140
2025	7	3	4	0	0	0	0	0	29	30	-1	4	2	2	0	0	0	0	0	20	18	2	3	1	2	0	0	0	0	0	9	12	-3	6	29	52	81	0	0	0	7	10	12	174	0	47	64	63	206	47	58	165	29	4	13.79%	25	5	80.00%	0	131	200	65.50%	109	186	58.60%	77	116	66.38%	202	150	136	40	81	46
2026	22	16	6	0	0	0	0	0	57	35	22	11	9	2	0	0	0	0	0	32	14	18	11	7	4	0	0	0	0	0	25	21	4	32	57	99	156	0	4	0	19	21	12	422	0	129	133	140	432	124	285	525	129	20	15.50%	106	13	87.74%	1	319	631	50.55%	293	666	43.99%	149	314	47.45%	557	377	535	170	295	153
2027	19	16	3	0	0	0	0	0	64	41	23	10	8	2	0	0	0	0	0	38	27	11	9	8	1	0	0	0	0	0	26	14	12	32	64	118	182	0	2	0	20	23	15	597	0	164	196	177	469	138	207	514	120	16	13.33%	90	16	82.22%	0	387	718	53.90%	349	608	57.40%	174	311	55.95%	575	414	451	145	257	137
2030	21	16	5	0	0	0	0	0	79	58	21	12	10	2	0	0	0	0	0	47	31	16	9	6	3	0	0	0	0	0	32	27	5	32	79	140	219	0	1	0	28	24	24	642	0	194	218	207	520	152	168	484	125	25	20.00%	72	10	86.11%	2	417	736	56.66%	360	588	61.22%	207	337	61.42%	615	451	419	139	261	145
2031	23	14	9	0	0	0	0	0	59	56	3	12	6	6	0	0	0	0	0	32	32	0	11	8	3	0	0	0	0	0	27	24	3	28	59	107	166	1	5	0	23	21	12	587	0	192	194	146	647	179	332	573	100	18	18.00%	129	13	89.92%	1	312	702	44.44%	353	791	44.63%	162	331	48.94%	588	410	598	174	293	149
2032	10	5	5	0	0	0	0	0	25	30	-5	6	4	2	0	0	0	0	0	15	14	1	4	1	3	0	0	0	0	0	10	16	-6	10	25	48	73	0	1	0	8	6	9	252	0	64	73	90	270	65	91	259	34	4	11.76%	40	2	95.00%	0	146	320	45.63%	126	302	41.72%	74	154	48.05%	252	174	254	72	131	65
2033	4	0	4	0	0	0	0	0	6	18	-12	2	0	2	0	0	0	0	0	4	9	-5	2	0	2	0	0	0	0	0	2	9	-7	0	6	12	18	1	0	0	3	1	2	116	0	35	37	33	128	29	43	100	20	0	0.00%	19	2	89.47%	0	50	134	37.31%	43	131	32.82%	22	70	31.43%	88	59	130	36	54	23
2034	4	0	4	0	0	0	0	0	11	17	-6	2	0	2	0	0	0	0	0	6	9	-3	2	0	2	0	0	0	0	0	5	8	-3	0	11	22	33	0	0	0	3	5	3	138	0	45	55	38	136	43	39	105	17	3	17.65%	14	3	78.57%	0	77	143	53.85%	76	132	57.58%	19	71	26.76%	88	62	103	29	47	22
2035	16	9	7	0	0	0	0	0	56	48	8	9	5	4	0	0	0	0	0	32	29	3	7	4	3	0	0	0	0	0	24	19	5	18	56	107	163	2	0	0	21	18	16	504	0	162	159	150	459	133	198	505	63	13	20.63%	89	11	87.64%	1	211	517	40.81%	202	516	39.15%	83	268	30.97%	341	229	477	128	207	95
2036	5	1	4	0	0	0	0	0	13	25	-12	2	1	1	0	0	0	0	0	6	7	-1	3	0	3	0	0	0	0	0	7	18	-11	2	13	23	36	1	0	0	8	2	3	141	0	52	44	45	181	57	50	135	16	3	18.75%	23	4	82.61%	0	104	169	61.54%	86	163	52.76%	40	86	46.51%	128	91	112	31	58	31
Total Playoff	249	154	95	0	0	0	0	0	724	621	103	129	88	41	0	0	0	0	0	406	308	98	120	66	54	0	0	0	0	0	318	313	5	308	724	1297	2021	7	25	0	251	227	214	6858	0	2064	2337	2145	6460	1904	2995	6180	1139	183	16.07%	1045	130	87.56%	7	3860	7536	51.22%	3551	7211	49.24%	1881	3826	49.16%	6225	4184	7611	2824	3558	1823

EvilSharks 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	PKA	PKP	PKS	GW	GT	FO%	HT	P/20
1	Kevin Shattenkirk	288	49	93	142	2	235	438	363	586	8.36%	162	4740	16.46	9	18	27	46	0	0	14	10	2	50.67%	0	0.60
2	Mikael Backlund	79	30	42	72	23	33	50	196	214	14.02%	19	1614	20.44	4	6	10	32	1	1	4	5	3	59.00%	1	0.89
3	Dmitry Kulikov	95	12	47	59	26	105	193	151	166	7.23%	98	2247	23.66	6	16	22	73	0	0	4	2	2	0.00%	0	0.52
4	Ryan Spooner	48	13	30	43	14	0	5	121	95	13.68%	4	1022	21.31	2	10	12	21	0	0	2	7	1	61.21%	0	0.84
5	Robby Fabbri	44	15	28	43	14	13	24	119	142	10.56%	10	1008	22.92	4	12	16	30	1	1	6	5	0	47.45%	1	0.85

EvilSharks Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG
1	Robin Lehner	39	33	4	2	0.924	1.37	2451	0	8	56	741	0	1	1
2	Calvin Pickard	24	21	2	1	0.920	1.85	1591	2	3	49	616	0	1	0
3	Mikael Tellqvist	22	16	5	1	0.919	1.52	1386	4	4	35	432	0	2	0
4	Anton Forsberg	25	16	8	1	0.917	2.17	1604	2	6	58	700	0	1	1
5	Thomas Greiss	18	11	6	1	0.920	2.75	1090	0	0	50	627	282	2	0