Canadian Hockey League

Sharks
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Career

Remparts
0-0-0, 0pts

Day 1

Checkers
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Spiders
0-0-0, 0pts

Day 3

Remparts
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

BaronsOKC
0-0-0, 0pts

Day 5

Remparts
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Alexandre Loignon
	Coach	Benoit Groulx
	Division	Pacific
	Conference	Western
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	28
	Farm Team	18
	Contract Limit	46 / 50
	Prospects	37
Team History
	This Season	0-0-0 (0PTS)
	History	839-720-185 (0.481%)
	Playoff Appearances	7
	Playoff Record (W-L)	43-32
	Stanley Cup	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

#	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	Ross Johnston		X			100.00	99	93	55	75	87	71	85	54	40	55	54	63	40	88	80	30	20	64	0	32	2	950,000$
2	Austin Poganski			X		100.00	74	61	85	77	72	79	69	58	40	59	57	60	99	84	82	40	20	63	0	30	3	900,000$
3	Logan Shaw		X			100.00	55	53	78	75	76	81	71	56	40	55	56	64	40	92	87	20	20	62	0	34	2	900,000$
4	Sheldon Dries	X				100.00	71	50	85	82	46	66	56	57	70	52	63	70	40	88	77	30	20	62	0	32	3	900,000$
5	Lane Pederson	X				100.00	99	61	76	78	63	72	62	56	70	53	60	55	40	82	77	45	20	61	0	29	3	900,000$
6	Akil Thomas	X				100.00	79	55	82	75	59	60	50	48	40	47	49	54	99	76	68	60	20	56	0	26	3	900,000$
7	Ty Mueller (R)	X				100.00	57	45	80	76	60	70	60	50	70	48	52	50	40	70	70	75	20	56	0	23	3	900,000$
8	Antonio Stranges		X			100.00	40	38	87	75	52	79	69	45	40	43	46	50	40	72	76	70	20	54	0	24	2	900,000$
9	Stelio Mattheos			X		100.00	68	51	69	75	63	60	50	37	40	36	38	50	40	78	69	55	20	51	0	27	2	575,000$
10	Reece Newkirk		X			100.00	62	74	59	75	51	60	50	36	40	42	30	63	40	74	67	65	20	51	0	25	1	1,200,000$
11	Kalan Lind (R)		X			100.00	50	51	46	89	48	60	50	38	40	29	46	56	40	66	63	85	20	51	0	21	3	925,000$
12	Maxim Golod		X			100.00	57	69	83	75	52	60	50	34	40	34	35	50	40	76	68	60	20	49	0	26	2	575,000$
13	Declan Chisholm				X	100.00	50	51	87	78	66	72	61	57	40	59	55	64	40	76	74	60	20	63	0	26	3	950,000$
14	Damien Carfagna (R)				X	100.00	45	36	83	88	54	70	65	41	40	39	43	70	40	72	71	70	20	61	0	24	3	900,000$
15	Alex Gagne (R)				X	100.00	69	55	72	77	82	62	57	35	40	37	32	70	40	72	67	70	20	60	0	24	3	900,000$
16	Trey Taylor (R)				X	100.00	54	43	80	84	65	74	69	43	40	41	44	58	40	72	73	70	20	60	0	24	3	900,000$
17	David Jiricek				X	100.00	47	53	78	75	71	70	61	45	40	40	50	64	40	70	70	75	20	59	0	23	4	1,500,000$
18	Ryan Johnson				X	100.00	45	48	76	75	61	60	55	41	40	41	41	50	40	74	67	65	20	54	0	25	1	850,000$
Scratches
1	Albin Grewe		X			100.00	59	60	79	75	49	60	50	32	40	35	30	50	40	74	67	65	20	48	0	25	2	575,000$
2	Sawyer Boulton (R)		X			100.00	71	77	40	75	64	60	50	28	40	25	30	59	40	68	64	80	20	48	0	22	2	575,000$
3	Stian Solberg (R)				X	100.00	73	51	61	75	68	75	70	42	40	34	51	50	40	66	71	85	20	57	0	21	4	1,500,000$
4	Cameron Crotty				X	100.00	68	56	78	75	73	55	50	35	40	32	38	56	40	78	67	55	20	56	0	27	1	1,200,000$
5	Michael Krutil				X	100.00	79	52	84	75	69	55	50	31	40	32	30	54	40	72	64	70	20	55	0	24	2	575,000$
6	Joey Keane				X	100.00	60	61	77	75	56	55	50	38	40	39	36	50	40	78	67	55	20	54	0	27	2	575,000$
7	Charlie Wright (R)				X	100.00	58	43	88	75	57	55	50	27	40	22	33	59	40	70	63	75	20	53	0	23	2	575,000$

	TEAM AVERAGE					100.00	64	55	75	77	63	66	58	43	44	41	44	58	45	76	71	61	20	56

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	Jaxson Stauber	100.00	75	64	68	85	50	50	50	50	50	50	60	78	64	55	20	58	0	27	1	850,000$
2	Stanislav Berezhnoy (R)	100.00	70	50	60	97	50	50	50	50	50	50	40	70	60	75	20	57	0	23	3	900,000$
Scratches
1	Callum Tung (R)	100.00	70	50	60	91	50	50	50	50	50	50	40	70	60	75	20	57	0	23	3	900,000$

	TEAM AVERAGE	100.00	72	55	63	91	50	50	50	50	50	50	47	73	61	68	20	57

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Benoit Groulx	61	40	67	56	93	74	54	CAN	58	2	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	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	2044	Link
Akil Thomas	Remparts (Sjs)	C	26	2000-01-02	No	195 Lbs	6 ft0	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	UFA		Link / NHL Link
Albin Grewe	Remparts (Sjs)	LW	25	2001-05-22	No	176 Lbs	6 ft0	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	RFA			Link / NHL Link
Alex Gagne	Remparts (Sjs)	D	24	2002-08-12	Yes	225 Lbs	6 ft4	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	RFA		Link / NHL Link
Antonio Stranges	Remparts (Sjs)	LW	24	2002-02-05	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$	RFA			Link / NHL Link
Austin Poganski	Remparts (Sjs)	RW	30	1996-02-16	No	213 Lbs	6 ft2	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	UFA		Link / NHL Link
Callum Tung	Remparts (Sjs)	G	23	2003-11-23	Yes	198 Lbs	6 ft3	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	RFA		Link / NHL Link
Cameron Crotty	Remparts (Sjs)	D	27	1999-05-05	No	212 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,200,000$	0$	0$	No	UFA				Link / NHL Link
Charlie Wright	Remparts (Sjs)	D	23	2003-10-22	Yes	188 Lbs	6 ft1	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	RFA			Link / NHL Link
Damien Carfagna	Remparts (Sjs)	D	24	2002-12-12	Yes	185 Lbs	6 ft0	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	RFA		Link / NHL Link
David Jiricek	Remparts (Sjs)	D	23	2003-11-28	No	204 Lbs	6 ft4	No	No	No	4	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	1,500,000$	RFA	Link / NHL Link
Declan Chisholm	Remparts (Sjs)	D	26	2000-01-12	No	205 Lbs	6 ft1	No	No	No	3	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	UFA		Link / NHL Link
Jaxson Stauber	Remparts (Sjs)	G	27	1999-04-27	No	174 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	0$	0$	No	UFA				Link / NHL Link
Joey Keane	Remparts (Sjs)	D	27	1999-07-02	No	185 Lbs	6 ft1	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA			Link / NHL Link
Kalan Lind	Remparts (Sjs)	LW	21	2005-01-25	Yes	173 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	RFA		Link / NHL Link
Lane Pederson	Remparts (Sjs)	C	29	1997-08-04	No	199 Lbs	6 ft1	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	UFA		Link / NHL Link
Logan Shaw	Remparts (Sjs)	LW	34	1992-10-05	No	213 Lbs	6 ft4	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$	UFA			Link / NHL Link
Maxim Golod	Remparts (Sjs)	LW	26	2000-08-18	No	182 Lbs	6 ft0	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA			Link / NHL Link
Michael Krutil	Remparts (Sjs)	D	24	2002-06-03	No	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	RFA			Link / NHL Link
Reece Newkirk	Remparts (Sjs)	LW	25	2001-02-20	No	179 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,200,000$	0$	0$	No	RFA				Link / NHL Link
Ross Johnston	Remparts (Sjs)	LW	32	1994-02-18	No	232 Lbs	6 ft5	No	No	No	2	Pro & Farm	950,000$	0$	0$	No	950,000$	UFA			Link / NHL Link
Ryan Johnson	Remparts (Sjs)	D	25	2001-07-24	No	195 Lbs	6 ft1	No	No	No	1	Pro & Farm	850,000$	0$	0$	No	RFA				Link / NHL Link
Sawyer Boulton	Remparts (Sjs)	LW	22	2004-07-12	Yes	205 Lbs	6 ft0	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	RFA			Link / NHL Link
Sheldon Dries	Remparts (Sjs)	C	32	1994-04-23	No	181 Lbs	5 ft9	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	UFA		Link / NHL Link
Stanislav Berezhnoy	Remparts (Sjs)	G	23	2003-06-07	Yes	218 Lbs	6 ft4	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	RFA		Link / NHL Link
Stelio Mattheos	Remparts (Sjs)	RW	27	1999-06-14	No	200 Lbs	6 ft1	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$	UFA			Link / NHL Link
Stian Solberg	Remparts (Sjs)	D	21	2005-12-29	Yes	205 Lbs	6 ft2	Yes	No	No	4	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$	1,500,000$	1,500,000$	RFA	Link / NHL Link
Trey Taylor	Remparts (Sjs)	D	24	2002-02-04	Yes	200 Lbs	6 ft2	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	RFA		Link / NHL Link
Ty Mueller	Remparts (Sjs)	C	23	2003-02-26	Yes	201 Lbs	5 ft11	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$	RFA		Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	25.61	198 Lbs	6 ft1	2.43	883,929$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ross Johnston	Sheldon Dries	Austin Poganski	40	1	2	2
2	Logan Shaw	Lane Pederson	Stelio Mattheos	30	1	2	2
3	Antonio Stranges	Akil Thomas	Ross Johnston	20	1	2	2
4	Kalan Lind	Ty Mueller	Austin Poganski	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Declan Chisholm	Damien Carfagna	40	1	2	2
2	Trey Taylor	Alex Gagne	30	1	2	2
3	David Jiricek	Ryan Johnson	20	1	2	2
4	Declan Chisholm	Damien Carfagna	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ross Johnston	Sheldon Dries	Austin Poganski	60	1	2	2
2	Logan Shaw	Lane Pederson	Stelio Mattheos	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Declan Chisholm	Damien Carfagna	60	1	2	2
2	Trey Taylor	Alex Gagne	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ross Johnston	Austin Poganski	60	1	2	2
2	Sheldon Dries	Logan Shaw	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Declan Chisholm	Damien Carfagna	60	1	2	2
2	Trey Taylor	Alex Gagne	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Ross Johnston	60	1	2	2	Declan Chisholm	Damien Carfagna	60	1	2	2
2	Austin Poganski	40	1	2	2	Trey Taylor	Alex Gagne	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ross Johnston	Austin Poganski	60	1	2	2
2	Sheldon Dries	Logan Shaw	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Declan Chisholm	Damien Carfagna	60	1	2	2
2	Trey Taylor	Alex Gagne	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Ross Johnston	Sheldon Dries	Austin Poganski	Declan Chisholm	Damien Carfagna

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ross Johnston	Sheldon Dries	Austin Poganski	Declan Chisholm	Damien Carfagna

Extra Forwards
Normal	PowerPlay	Penalty Kill
Reece Newkirk, Maxim Golod, Akil Thomas	Reece Newkirk, Maxim Golod	Akil Thomas

Extra Defensemen
Normal	PowerPlay	Penalty Kill
David Jiricek, Ryan Johnson, Trey Taylor	David Jiricek	Ryan Johnson, Trey Taylor

Penalty Shots
Ross Johnston, Austin Poganski, Sheldon Dries, Logan Shaw, Lane Pederson

Goalie
#1 : Jaxson Stauber, #2 : Stanislav Berezhnoy

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
1	1	Remparts	-	Checkers	-
3	22	Spiders	-	Remparts	-
5	38	BaronsOKC	-	Remparts	-
7	55	Remparts	-	Vikings	-
9	70	Remparts	-	EvilSharks	-
10	80	Remparts	-	WolfPack	-
12	91	SilverKnights	-	Remparts	-
14	107	National	-	Remparts	-
15	124	Remparts	-	HC	-
18	140	IceHawks	-	Remparts	-
22	160	Remparts	-	Cyclones	-
24	171	IceBears	-	Remparts	-
26	187	Remparts	-	Mighty Ducks	-
28	208	Eagles	-	Remparts	-
30	224	Remparts	-	EvilSharks	-
33	239	Nordiques	-	Remparts	-
36	262	Remparts	-	BaronsOKC	-
38	271	Pantheres	-	Remparts	-
40	286	Remparts	-	Wolves	-
42	297	Iceberg	-	Remparts	-
48	320	Draveurs	-	Remparts	-
50	330	Remparts	-	Griffins	-
53	344	Remparts	-	Checkers	-
55	358	Oceanic	-	Remparts	-
56	374	Remparts	-	Checkers	-
59	390	Draveurs	-	Remparts	-
62	415	Vikings	-	Remparts	-
66	435	Remparts	-	Mighty Ducks	-
67	447	Griffins	-	Remparts	-
71	472	BigBadStars	-	Remparts	-
73	494	Remparts	-	Cyclones	-
74	504	Bandits	-	Remparts	-
76	523	Remparts	-	Draveurs	-
77	532	Senators	-	Remparts	-
79	549	Remparts	-	Senators	-
80	563	BaronsOKC	-	Remparts	-
82	579	Remparts	-	BigBadStars	-
84	594	Roadrunners	-	Remparts	-
88	622	Wolves	-	Remparts	-
89	636	Remparts	-	Magics	-
92	653	EvilSharks	-	Remparts	-
94	669	Remparts	-	IceHogs	-
98	686	Eagles	-	Remparts	-
100	705	Remparts	-	Thunder	-
101	719	Thunder	-	Remparts	-
103	735	Remparts	-	National	-
104	747	IceHogs	-	Remparts	-
106	762	Remparts	-	Eagles	-
107	778	HC	-	Remparts	-
109	787	Remparts	-	IceBears	-
111	797	Remparts	-	EvilSharks	-
113	813	National	-	Remparts	-
115	826	Remparts	-	Oceanic	-
118	838	Remparts	-	Sagueneens	-
120	850	Cyclones	-	Remparts	-
122	872	Remparts	-	SilverKnights	-
123	880	IceHawks	-	Remparts	-
124	898	Remparts	-	Vikings	-
126	911	Darkness	-	Remparts	-
128	936	Remparts	-	HC	-
129	944	Roadrunners	-	Remparts	-
133	967	Mighty Ducks	-	Remparts	-
135	977	Remparts	-	Spiders	-
137	996	Nordiques	-	Remparts	-
138	1006	Remparts	-	Nordiques	-
140	1015	Remparts	-	WolfPack	-
142	1033	WolfPack	-	Remparts	-
144	1045	Remparts	-	IceHawks	-
147	1064	WolfPack	-	Remparts	-
149	1081	Remparts	-	Roadrunners	-
152	1095	Sagueneens	-	Remparts	-
154	1113	Remparts	-	Darkness	-
156	1127	SilverKnights	-	Remparts	-
158	1148	Magics	-	Remparts	-
160	1159	Remparts	-	Iceberg	-
162	1168	Remparts	-	Pantheres	-
164	1188	Spiders	-	Remparts	-
165	1199	Remparts	-	Bandits	-
168	1218	Spiders	-	Remparts	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173	1246	Checkers	-	Remparts	-
174	1254	Remparts	-	Bandits	-
180	1276	IceBears	-	Remparts	-
182	1285	Remparts	-	WolfPack	-
183	1299	Remparts	-	Iceberg	-

Remparts 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	Jordan Schroeder	1655	320	489	809	-73	1521	1855	2341	2658	12.04%	936	26922	16.27	80	137	217	300	10	8	18	91	49	22	54.51%	3	0.60	10	42
2	Jarkko Immonen	128	78	102	180	40	107	182	338	514	15.18%	81	2806	21.92	19	25	44	55	2	1	3	15	7	8	60.75%	2	1.28	0	14
3	Logan O'Connor	246	76	88	164	-10	72	133	536	702	10.83%	58	4003	16.28	14	19	33	107	2	0	2	2	14	5	41.87%	1	0.82	1	6
4	Mark Bell	292	68	88	156	-17	330	679	442	666	10.21%	74	4825	16.53	16	17	33	116	0	0	0	6	8	5	52.65%	1	0.65	2	10
5	Jason Chimera	174	69	86	155	3	226	331	383	515	13.40%	100	4048	23.27	12	30	42	85	2	2	4	15	11	2	45.06%	2	0.77	5	26

Remparts 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	Stanislav Galimov	150	95	43	11	0.898	2.50	9051	8	12	377	3700	0	3	1	0.702	57
2	Riku Helenius	206	92	93	19	0.896	2.93	12322	33	5	601	5752	1854	10	4	0.756	86
3	Antero Niittymaki	92	41	37	7	0.891	3.21	5258	23	0	281	2587	1152	7	4	0.775	40
4	Alexander Salak	73	41	30	2	0.899	2.66	4362	6	3	193	1903	0	1	1	0.750	12
5	Vitek Vanecek	95	40	39	8	0.880	3.26	5230	0	2	284	2362	0	2	1	0.714	56

Remparts 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	30	0	4	2	4	6	265	259	6	41	20	12	0	2	1	2	4	134	124	10	41	16	18	0	2	1	2	2	131	135	-4	82	265	419	684	0	1	0	58	111	88	2218	0	605	795	801	2441	863	1378	1579	241	72	29.88%	269	47	82.53%	4	859	1617	53.12%	933	1703	54.79%	737	1385	53.21%	1561	733	1825	895	1757	889
2018	82	23	39	0	5	5	5	5	224	262	-38	41	10	20	0	2	3	2	4	105	138	-33	41	13	19	0	3	2	3	1	119	124	-5	61	224	356	580	0	1	0	37	94	83	2132	0	568	820	713	2497	853	1109	1560	216	47	21.76%	209	60	71.29%	9	910	1603	56.77%	883	1677	52.65%	679	1268	53.55%	1526	695	1664	836	1793	920
2019	81	28	35	0	5	1	3	9	264	266	-2	40	15	16	0	2	1	2	4	124	116	8	41	13	19	0	3	0	1	5	140	150	-10	67	264	408	672	2	0	0	44	83	129	2280	0	535	807	899	2371	794	1323	1618	192	64	33.33%	241	60	75.10%	7	994	1708	58.20%	989	1824	54.22%	654	1182	55.33%	1534	712	1608	827	1781	892
2020	82	40	25	0	1	4	6	6	310	271	39	41	22	10	0	0	2	4	3	164	132	32	41	18	15	0	1	2	2	3	146	139	7	86	310	491	801	5	0	0	57	130	116	2812	0	843	1076	871	2579	877	1337	2162	241	61	25.31%	239	59	75.31%	5	1005	2056	48.88%	809	1810	44.70%	569	1286	44.25%	1712	928	1674	798	1599	775
2021	82	30	31	0	5	4	5	7	191	204	-13	41	15	17	0	3	1	2	3	98	103	-5	41	15	14	0	2	3	3	4	93	101	-8	74	191	334	525	1	7	0	69	66	46	1957	0	638	640	640	1571	465	948	1832	403	59	14.64%	385	58	84.94%	2	1206	2462	48.98%	959	2196	43.67%	523	1154	45.32%	2003	1422	2010	605	983	480
2022	81	25	40	0	1	5	5	5	148	196	-48	40	11	19	0	0	4	4	2	84	100	-16	41	14	21	0	1	1	1	3	64	96	-32	57	148	253	401	2	7	0	53	39	50	1720	0	554	548	594	1899	521	786	1836	342	38	11.11%	324	49	84.88%	3	1001	2324	43.07%	892	2327	38.33%	450	1108	40.61%	1807	1236	2107	612	1005	474
2023	82	33	32	0	4	4	4	5	263	268	-5	41	15	17	0	3	3	1	2	136	145	-9	41	18	15	0	1	1	3	3	127	123	4	78	263	485	748	1	1	0	96	78	81	2428	0	825	800	767	2300	675	930	2160	389	62	15.94%	365	65	82.19%	3	1152	2679	43.00%	1089	2589	42.06%	535	1305	41.00%	1809	1265	2190	622	978	454
2024	82	25	41	0	2	2	4	8	216	264	-48	41	17	17	0	1	1	2	3	117	121	-4	41	8	24	0	1	1	2	5	99	143	-44	72	216	387	603	1	5	0	75	79	56	2035	0	646	686	660	2119	603	840	2011	381	53	13.91%	341	61	82.11%	1	1070	2422	44.18%	1188	2556	46.48%	611	1282	47.66%	1878	1303	2086	626	1027	502
2025	82	26	41	0	5	1	3	6	239	263	-24	41	14	20	0	3	1	1	2	124	125	-1	41	12	21	0	2	0	2	4	115	138	-23	75	239	438	677	0	3	0	91	76	64	2466	0	790	820	819	2278	669	925	2068	365	59	16.16%	396	67	83.08%	1	1285	2734	47.00%	1172	2548	46.00%	596	1279	46.60%	1874	1319	2132	591	969	456
2026	82	29	42	0	2	0	5	4	201	227	-26	41	15	22	0	2	0	0	2	98	113	-15	41	14	20	0	0	0	5	2	103	114	-11	76	201	337	538	1	4	0	75	55	64	1766	0	599	543	610	2033	574	909	1790	377	47	12.47%	375	73	80.53%	3	1424	2372	60.03%	1317	2299	57.29%	720	1219	59.06%	2014	1395	1918	598	1035	520
2027	82	14	50	0	2	3	7	6	190	264	-74	41	8	22	0	2	2	2	5	108	135	-27	41	6	28	0	0	1	5	1	82	129	-47	55	190	316	506	0	4	0	67	65	49	1513	0	498	481	507	2170	647	812	1899	301	41	13.62%	342	59	82.75%	4	999	2042	48.92%	1208	2480	48.71%	591	1268	46.61%	1782	1201	2167	630	1045	490
2030	82	41	33	0	2	1	3	2	220	213	7	41	21	15	0	1	1	1	2	110	102	8	41	20	18	0	1	0	2	0	110	111	-1	95	220	398	618	1	4	0	69	75	71	1714	0	553	566	586	2066	626	968	2060	375	62	16.53%	406	57	85.96%	1	1175	2285	51.42%	1302	2448	53.19%	595	1187	50.13%	2119	1512	1840	569	990	510
2031	82	44	30	0	1	1	3	3	255	199	56	41	22	13	0	1	1	2	2	126	96	30	41	22	17	0	0	0	1	1	129	103	26	100	255	453	708	1	8	0	91	84	76	2208	0	764	740	681	1904	561	917	1825	388	70	18.04%	385	60	84.42%	3	1480	2582	57.32%	1243	2357	52.74%	681	1210	56.28%	2117	1532	1876	569	962	485
2032	82	43	21	0	4	3	7	4	291	220	71	41	26	9	0	0	1	4	1	149	100	49	41	17	12	0	4	2	3	3	142	120	22	115	291	542	833	0	4	0	108	92	80	2761	0	913	897	878	2132	595	807	2074	338	63	18.64%	361	54	85.04%	3	1286	2794	46.03%	1151	2576	44.68%	593	1268	46.77%	1917	1372	2098	600	979	469
2033	82	26	37	0	4	2	6	7	246	280	-34	41	16	13	0	1	1	5	5	137	137	0	41	10	24	0	3	1	1	2	109	143	-34	81	246	420	666	1	1	0	85	75	76	1870	0	585	641	620	2240	654	800	1987	353	60	17.00%	341	59	82.70%	4	1154	2262	51.02%	1295	2467	52.49%	663	1315	50.42%	1977	1381	1983	593	1030	517
2034	82	33	33	0	5	1	5	5	261	255	6	41	15	16	0	4	0	3	3	121	121	0	41	18	17	0	1	1	2	2	140	134	6	92	261	462	723	1	3	0	88	86	77	2207	0	694	767	717	2184	650	879	1897	340	50	14.71%	354	54	84.75%	4	1390	2504	55.51%	1292	2410	53.61%	680	1294	52.55%	2094	1497	1895	559	991	508
2035	82	34	34	0	4	3	4	3	216	191	25	41	21	14	0	3	0	3	0	113	72	41	41	13	20	0	1	3	1	3	103	119	-16	90	216	367	583	0	12	0	80	57	71	1898	0	590	633	644	2092	625	852	2132	332	53	15.96%	345	46	86.67%	3	1175	2341	50.19%	1252	2517	49.74%	603	1217	49.55%	2006	1393	1941	583	1026	525
2036	80	34	34	0	6	3	1	2	288	286	2	40	20	16	0	2	1	1	0	149	138	11	40	14	18	0	4	2	0	2	139	148	-9	87	288	537	825	3	3	0	112	100	69	2807	0	946	906	925	2369	720	742	2115	332	67	20.18%	328	58	82.32%	3	1171	2677	43.74%	1125	2518	44.68%	576	1300	44.31%	1859	1324	2035	565	939	452
2037	82	34	29	0	7	3	6	3	315	302	13	41	18	15	0	3	2	1	2	151	146	5	41	16	14	0	4	1	5	1	164	156	8	100	315	588	903	0	1	111	95	96	20	2954	961	916	1027	90	2584	732	788	2101	358	59	16.48%	365	76	79.18%	6	1285	2790	46.06%	1211	2657	45.58%	630	1362	46.26%	1880	1340	2135	580	972	463
2038	78	36	31	0	9	2	0	0	314	286	28	39	16	17	0	6	0	0	0	147	138	9	39	20	14	0	3	2	0	0	167	148	19	92	314	593	907	3	4	136	92	77	9	2978	1021	1005	926	26	2458	705	721	2062	347	63	18.16%	315	65	79.37%	3	1228	2776	44.24%	1137	2585	43.98%	597	1302	45.85%	1798	1288	2003	552	900	435
2039	82	34	32	0	7	5	0	4	326	325	1	41	19	13	0	5	3	0	1	168	154	14	41	15	19	0	2	2	0	3	158	171	-13	91	326	623	949	1	0	128	100	91	7	3054	1057	999	968	44	2693	749	832	2143	370	59	15.95%	369	67	81.84%	2	1318	2850	46.25%	1303	2769	47.06%	629	1389	45.28%	1862	1321	2140	593	957	452
Total Regular Season	1714	668	720	0	85	55	86	100	5243	5301	-58	856	356	333	0	46	29	42	50	2663	2556	107	858	312	387	0	39	26	44	50	2580	2745	-165	1726	5243	9207	14450	24	73	375	1642	1709	1382	47778	3039	15066	16087	13092	46980	14158	19603	40911	6981	1209	17.32%	7055	1254	82.23%	74	24567	49880	49.25%	23750	49313	48.16%	12912	26580	48.58%	39139	26176	41337	13412	23728	11676
Playoff
2017	6	2	4	0	0	0	0	0	11	19	-8	3	1	2	0	0	0	0	0	6	12	-6	3	1	2	0	0	0	0	0	5	7	-2	4	11	16	27	0	0	0	1	3	6	144	0	32	54	56	180	66	66	134	19	2	10.53%	14	2	85.71%	0	52	110	47.27%	75	129	58.14%	36	89	40.45%	115	53	1943	956	128	66
2020	5	1	4	0	0	0	0	0	13	20	-7	3	0	3	0	0	0	0	0	7	13	-6	2	1	1	0	0	0	0	0	6	7	-1	2	13	23	36	0	0	0	5	5	3	154	0	43	67	39	184	61	72	104	12	1	8.33%	14	3	78.57%	0	56	97	57.73%	75	123	60.98%	48	80	60.00%	101	49	107	50	104	54
2030	7	3	4	0	0	0	0	0	15	20	-5	3	2	1	0	0	0	0	0	6	6	0	4	1	3	0	0	0	0	0	9	14	-5	6	15	27	42	0	0	0	2	8	4	141	0	46	49	44	222	67	86	195	27	5	18.52%	38	5	86.84%	0	90	180	50.00%	136	248	54.84%	64	101	63.37%	185	132	164	46	84	44
2031	23	16	7	0	0	0	0	0	66	47	19	11	6	5	0	0	0	0	0	26	22	4	12	10	2	0	0	0	0	0	40	25	15	32	66	123	189	0	3	0	22	20	21	622	0	203	205	191	638	193	268	575	117	18	15.38%	120	12	90.00%	0	425	762	55.77%	383	769	49.80%	175	328	53.35%	590	427	587	167	277	135
2032	21	16	5	0	0	0	0	0	85	59	26	12	9	3	0	0	0	0	0	54	41	13	9	7	2	0	0	0	0	0	31	18	13	32	85	161	246	0	1	0	40	21	21	772	0	262	252	232	605	183	217	579	87	19	21.84%	96	16	83.33%	0	355	763	46.53%	294	649	45.30%	167	351	47.58%	520	380	530	144	242	117
2037	6	2	4	0	0	0	0	0	29	35	-6	3	1	2	0	0	0	0	0	15	18	-3	3	1	2	0	0	0	0	0	14	17	-3	4	29	55	84	1	0	15	7	7	0	235	76	81	71	7	263	82	73	202	27	9	33.33%	34	8	76.47%	0	116	224	51.79%	138	245	56.33%	69	117	58.97%	139	99	163	40	67	33
2038	7	3	4	0	0	0	0	0	33	37	-4	3	1	2	0	0	0	0	0	12	14	-2	4	2	2	0	0	0	0	0	21	23	-2	6	33	65	98	1	0	14	6	12	1	298	91	117	82	8	326	97	54	209	33	6	18.18%	24	2	91.67%	1	130	279	46.59%	158	301	52.49%	55	125	44.00%	178	130	175	45	82	41
Total Playoff	75	43	32	0	0	0	0	0	252	237	15	38	20	18	0	0	0	0	0	126	126	0	37	23	14	0	0	0	0	0	126	111	15	86	252	470	722	2	4	29	83	76	56	2366	167	784	780	577	2418	749	836	1998	322	60	18.63%	340	48	85.88%	1	1224	2415	50.68%	1259	2464	51.10%	614	1191	51.55%	1832	1273	3672	1450	987	492

Remparts 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	Gilbert Brule	44	22	25	47	18	46	100	128	171	12.87%	12	908	20.65	6	9	15	37	0	1	3	60.31%	1.03
2	Chris Conner	51	15	15	30	11	5	14	79	82	18.29%	9	556	10.92	0	1	1	1	0	3	2	55.88%	1.08
3	Jordan Schroeder	108	11	16	27	-41	66	134	151	144	7.64%	66	1770	16.40	2	3	5	17	1	2	0	49.70%	0.30
4	Anthony Duclair	23	10	13	23	6	20	15	60	91	10.99%	12	469	20.43	2	3	5	28	0	2	0	44.44%	0.98
5	James Wisniewski	51	3	17	20	9	72	156	53	40	7.50%	44	708	13.89	2	1	3	12	0	0	0	0.00%	0.56

Remparts Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR
1	Stanislav Galimov	44	32	8	4	0.915	2.32	2745	6	4	106	1243	0
2	Mike McKenna	7	3	3	1	0.910	2.76	435	0	0	20	222	0
3	Kevin Poulin	7	2	4	0	0.894	3.16	361	0	0	19	180	78
4	Vasily Koshechkin	5	1	3	1	0.886	4.07	295	0	0	20	175	82
5	Antero Niittymaki	1	0	0	0	1.000	0.00	17	0	0	0	9	3