Ligue de hockey simulé de Maniwaki

Fighting Irish
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

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
1	Adrian Kempe (R)		X			100.00	80	65	87	89	80	79	85	77	62	76	77	75	70	69	72	0	50	74	0
2	Phillip Danault	X				100.00	80	65	86	83	81	82	56	77	78	79	74	87	56	71	76	0	50	74	0
3	Matt Nieto		X	X		100.00	68	64	95	86	79	80	79	74	50	69	78	89	59	75	76	0	47	74	0
4	Ondrej Kase (R)		X	X		100.00	69	62	95	84	77	79	70	81	50	77	84	78	79	70	73	0	50	74	0
5	Nick Ritchie (R)		X			100.00	94	76	80	84	94	79	80	73	50	73	73	74	64	71	74	0	50	73	0
6	Charles Hudon (R)		X			100.00	89	68	89	83	81	80	76	75	56	77	73	74	61	68	71	0	50	72	0
7	Tyler Bertuzzi (R)		X			100.00	80	69	83	83	79	80	51	77	50	80	74	76	56	68	68	0	50	71	0
8	Nikolay Goldobin (R)			X		100.00	64	60	96	95	79	78	40	74	50	69	78	68	62	68	70	0	50	70	0
9	Vince Dunn (R)				X	100.00	68	67	94	82	81	83	82	72	50	76	67	68	50	68	71	0	50	71	0
10	Andrej Sustr				X	100.00	55	74	91	79	90	78	46	67	50	67	66	67	50	76	78	0	47	67	0
Scratches
1	Joonas Donskoi		X	X		100.00	69	63	91	87	79	80	71	78	50	77	78	78	78	73	75	0	50	74	0
2	Melker Karlsson (R)	X				100.00	80	66	92	88	79	79	75	70	70	69	71	85	53	74	75	0	50	73	0
3	Brock McGinn (R)		X	X		100.00	89	62	94	86	80	80	85	74	55	70	77	75	71	70	74	0	50	73	0
4	Drew Stafford			X		100.00	83	66	96	85	87	79	62	71	62	68	73	68	79	84	79	0	50	71	0
5	Nick Shore (R)	X				100.00	76	67	94	85	79	80	68	71	73	73	68	79	51	71	71	0	50	71	0
6	Tomas Jurco (R)			X		100.00	74	68	91	91	83	78	35	73	50	68	78	76	62	71	70	0	50	70	0
7	Brian Flynn	X				100.00	68	66	98	80	76	76	53	69	60	66	72	82	63	72	71	0	52	69	0
8	Yannick Weber				X	100.00	78	66	92	80	81	78	49	65	50	65	65	67	50	77	74	0	50	68	0
9	Adam Clendening (R)				X	100.00	68	66	91	85	79	81	35	64	50	65	62	67	50	68	71	0	50	66	0

	TEAM AVERAGE					100.00	75	66	91	85	81	79	63	73	56	72	73	75	61	72	73	0	50	71

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
Scratches
1	Reto Berra	100.00	69	59	67	91	67	70	69	66	67	69	68	69	69	0	50	69	0

	TEAM AVERAGE	100.00	69	59	67	91	67	70	69	66	67	69	68	69	69	0	50	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Glen Gulutzan-	75	89	79	81	72	67	99	CAN	42	2	950,000$

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	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap
Adam Clendening	Monsters (FGI)	D	26	1993-03-22 15:26:19	Yes	190 Lbs	6 ft0	No	No	No	0	ELC	Pro & Farm		0$	0$	No
Adrian Kempe	Monsters (FGI)	LW	22	1997-03-22 15:26:19	Yes	195 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	894,000$	0$	0$	No
Andrej Sustr	Monsters (FGI)	D	28	1991-03-23 03:26:19	No	225 Lbs	6 ft8	No	No	No	1	UFA	Pro & Farm	1,462,500$	0$	0$	No
Brian Flynn	Monsters (FGI)	C	30	1989-03-22 15:26:19	No	180 Lbs	6 ft1	No	No	No	0	UFA	Pro & Farm		0$	0$	No
Brock McGinn	Monsters (FGI)	LW/RW	24	1995-03-23 03:26:19	Yes	185 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	925,000$	0$	0$	No
Charles Hudon	Monsters (FGI)	LW	24	1994-06-23 17:43:45	Yes	196 Lbs	5 ft10	No	No	No	2	ELC	Pro & Farm	650,000$	0$	0$	No
Drew Stafford	Monsters (FGI)	RW	33	1986-03-22 21:26:19	No	214 Lbs	6 ft2	No	No	No	0	UFA	Pro & Farm		0$	0$	No
Joonas Donskoi	Monsters (FGI)	LW/RW	26	1993-03-22 15:26:19	No	190 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	1,900,000$	0$	0$	No
Matt Nieto	Monsters (FGI)	LW/RW	26	1993-03-22 15:26:19	No	190 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	1,000,000$	0$	0$	No
Melker Karlsson	Monsters (FGI)	C	28	1991-03-23 03:26:19	Yes	180 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	1,500,000$	0$	0$	No
Nick Ritchie	Monsters (FGI)	LW	23	1996-03-22 09:26:19	Yes	232 Lbs	6 ft2	No	No	No	1	ELC	Pro & Farm	1,627,000$	0$	0$	No
Nick Shore	Monsters (FGI)	C	26	1993-03-22 15:26:19	Yes	188 Lbs	6 ft1	No	No	No	0	ELC	Pro & Farm		0$	0$	No
Nikolay Goldobin	Monsters (FGI)	RW	23	1995-10-07 17:54:06	Yes	196 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	1,137,500$	0$	0$	No
Ondrej Kase	Monsters (FGI)	LW/RW	23	1996-03-22 09:26:19	Yes	185 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	670,000$	0$	0$	No
Phillip Danault	Monsters (FGI)	C	25	1994-03-22 21:26:19	No	195 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	912,000$	0$	0$	No
Reto Berra	Monsters (FGI)	G	31	1988-03-22 09:26:20	No	210 Lbs	6 ft4	No	No	No	0	UFA	Pro & Farm		0$	0$	No
Tomas Jurco	Monsters (FGI)	RW	26	1993-03-22 15:26:19	Yes	203 Lbs	6 ft1	No	No	No	0	ELC	Pro & Farm		0$	0$	No
Tyler Bertuzzi	Monsters (FGI)	LW	24	1995-02-24 07:42:46	Yes	190 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	925,000$	0$	0$	No
Vince Dunn	Monsters (FGI)	D	22	1996-10-29 18:02:11	Yes	203 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	653,333$	0$	0$	No
Yannick Weber	Monsters (FGI)	D	30	1989-03-22 15:26:19	No	193 Lbs	5 ft11	No	No	No	0	UFA	Pro & Farm		0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	26.00	197 Lbs	6 ft1	0.90	712,817$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

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

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

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

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

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

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

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

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

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

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

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

Last Played Games Show or Hide Column

Filter Tips

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

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

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0.00%	0.00%
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
41	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,425,633$	1,015,333$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

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