Profi League - Marlies

Maple Leafs
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

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	Mark McNeill (R)	X		X		100.00	90	78	78	66	59	67	68	64	80	36	41	65	58	44	44	0	48	59	0
2	Brayden Irwin (R)	X				100.00	76	84	72	54	59	68	58	56	61	34	36	62	65	54	60	0	49	55	0
3	Chase Balisy	X	X	X		100.00	60	63	69	66	50	69	65	57	65	32	33	59	50	44	44	0	47	52	0
4	Kenny Ryan			X		100.00	73	73	75	61	56	64	63	54	65	28	33	55	50	44	44	0	47	52	0
5	Cole Ully (R)		X	X		100.00	64	66	71	64	51	50	60	56	67	32	34	60	50	44	44	0	47	51	0
6	Ben Johnson (R)		X			100.00	67	68	72	62	52	48	56	58	64	30	39	55	56	44	44	0	47	51	0
7	Blake Coleman	X				100.00	58	69	60	59	53	48	57	58	67	32	38	57	51	44	44	0	47	50	0
8	Greger Hanson		X			100.00	57	66	59	58	51	50	59	53	59	27	31	52	50	44	44	0	47	48	0
9	Shane Bakker	X				100.00	54	78	56	63	59	47	56	52	64	25	31	48	50	44	44	0	47	48	0
10	Joel Rechlicz			X		100.00	56	83	56	55	59	49	59	52	65	27	27	50	50	44	44	0	48	47	0
11	Ryan Cruthers	X				100.00	45	38	61	54	62	55	41	45	33	32	31	48	40	61	56	0	44	46	0
12	Mike Liambas		X			100.00	52	70	55	62	53	50	59	52	59	26	28	45	50	44	44	0	47	46	0
13	Darren Dietz (R)				X	100.00	79	94	72	65	72	69	87	69	25	43	40	70	50	49	45	0	40	63	0
14	Anthony DeAngelo (R)				X	100.00	55	64	61	73	55	61	66	67	25	39	31	54	50	55	55	0	37	55	0
15	Calle Andersson (R)				X	100.00	62	79	69	70	63	58	63	56	25	25	33	63	50	49	44	0	51	53	0
16	Jan Kostalek (R)				X	100.00	59	68	67	66	57	59	64	55	25	26	27	58	50	46	46	0	47	51	0
17	Justin Holl (R)			X	X	100.00	64	66	70	63	51	53	60	56	57	32	31	59	50	44	44	0	47	51	0
18	Robert Hagg (R)				X	100.00	58	75	65	66	60	68	69	53	25	24	28	56	50	45	45	0	47	51	0
Scratches

	TEAM AVERAGE					100.00	63	71	66	63	57	57	62	56	52	31	33	56	51	47	46	0	46	52

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
1	Mason McDonald (R)	99.00	59	67	72	76	63	69	62	67	67	62	45	50	50	0	47	63	0
2	Pat Nagle (R)	100.00	46	50	59	74	51	48	46	48	50	45	46	51	53	0	44	50	0
Scratches
1	Jeff Lerg	100.00	62	63	63	66	69	75	68	69	68	68	56	55	55	0	48	65	0

	TEAM AVERAGE	99.67	56	60	65	72	61	64	59	61	62	58	49	52	53	0	46	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Sheldon Keefe	76	77	84	71	60	65	99	CAN	35	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	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKM	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Darren Dietz	Marlies (TOR)		D	4	1	3	4	-6	57	35	11	22	4	7	4.55%	10	23.:.06	1	0	1	0	1	0	0.00%	0	9	10	0	0	0.87	0
2	Mark McNeill	Marlies (TOR)		C/RW	4	3	1	4	-7	5	5	14	21	8	12	14.29%	6	21.:.27	0	1	1	0	1	0	61.67%	60	10	1	0	0	0.93	0
3	Anthony DeAngelo	Marlies (TOR)		D	4	0	2	2	-8	0	0	4	14	4	3	0.00%	9	26.:.18	0	0	0	0	1	0	0.00%	0	2	7	0	0	0.38	0
4	Chase Balisy	Marlies (TOR)		C/LW/RW	4	1	1	2	-6	2	0	4	9	2	6	11.11%	3	24.:.24	0	0	0	0	1	0	42.11%	19	7	4	0	0	0.41	0
5	Blake Coleman	Marlies (TOR)		C	4	0	1	1	-2	0	0	5	7	1	6	0.00%	0	13.:.05	0	0	0	0	0	0	59.09%	22	2	3	0	0	0.38	0
6	Cole Ully	Marlies (TOR)		LW/RW	4	0	1	1	-3	0	0	9	5	3	11	0.00%	1	22.:.06	0	0	0	0	1	0	50.00%	4	10	2	0	0	0.23	0
7	Jan Kostalek	Marlies (TOR)		D	4	0	1	1	0	0	0	2	3	1	0	0.00%	7	20.:.03	0	0	0	0	0	0	0.00%	0	0	4	0	0	0.25	0
8	Justin Holl	Marlies (TOR)		RW/D	4	1	0	1	-5	0	0	8	6	2	3	16.67%	2	21.:.23	0	0	0	0	1	0	0.00%	1	3	4	0	0	0.23	0
9	Kenny Ryan	Marlies (TOR)		RW	4	0	1	1	-8	0	0	8	1	2	3	0.00%	5	23.:.40	0	1	1	0	1	0	57.14%	7	3	3	0	0	0.21	0
10	Brayden Irwin	Marlies (TOR)		C	4	1	0	1	-4	20	20	11	10	4	6	10.00%	1	21.:.49	0	0	0	0	0	0	52.27%	88	4	7	0	0	0.23	0
11	Ryan Cruthers	Marlies (TOR)		C	4	0	0	0	0	0	0	0	1	0	0	0.00%	0	04.:.06	0	0	0	0	0	0	50.00%	4	0	0	0	0	0.00	0
12	Calle Andersson	Marlies (TOR)		D	4	0	0	0	-5	22	10	6	8	2	4	0.00%	9	23.:.49	0	0	0	0	0	0	0.00%	0	4	4	0	0	0.00	0
13	Ben Johnson	Marlies (TOR)		LW	4	0	0	0	-6	0	0	10	9	1	5	0.00%	2	17.:.01	0	0	0	0	0	0	0.00%	0	7	1	0	0	0.00	0
14	Mike Liambas	Marlies (TOR)		LW	4	0	0	0	-1	0	0	2	0	0	0	0.00%	0	07.:.02	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
15	Joel Rechlicz	Marlies (TOR)		RW	4	0	0	0	0	10	10	2	1	0	0	0.00%	1	05.:.29	0	0	0	0	0	0	0.00%	0	1	1	0	0	0.00	0
16	Robert Hagg	Marlies (TOR)		D	4	0	0	0	-9	0	0	3	3	2	0	0.00%	2	22.:.30	0	0	0	0	0	0	0.00%	0	0	2	0	0	0.00	0
17	Greger Hanson	Marlies (TOR)		LW	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.54	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0
18	Shane Bakker	Marlies (TOR)		C	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	00.:.37	0	0	0	0	0	0	0.00%	1	0	1	0	0	0.00	0
Team Total or Average		72	7	11	18	-70	116	80	99	111	120	36	66	5.83%	58	1195	16.61	1	2	3	18	113	0	12	0	0	54.37%	206	62	54	0	0.30	0	0	4	4	8	0	1	0

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	PS %	PSA	ST	BG	S2	S3
1	Mason McDonald	Marlies (TOR)	4	3	0	85.5%	5.43	188	0	0	17	117	63	0	0.0%	0	3	1	1	0
2	Pat Nagle	Marlies (TOR)	1	1	0	82.6%	4.80	50	0	0	4	23	13	0	0.0%	0	1	3	0	0
Team Total or Average	5	0	4	0.850	5.27	239	0	0	21	140	76	0	0	0.000	4	4	0	1

Show or Hide Column

Filter Tips

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

Player Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Force Waivers	Contract	Type	Current Salary	Salary Remaining	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Link
Anthony DeAngelo	D	20	24.10.1995	Yes	175 Lbs	5 ft11	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link
Ben Johnson	LW	22	07.06.1994	Yes	187 Lbs	6 ft0	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Link
Blake Coleman	C	24	28.11.1991 15:45:20	No	198 Lbs	5 ft10	No	No	9	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Link
Brayden Irwin	C	28	24.03.1988 7:45:01	Yes	215 Lbs	6 ft5	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$
Calle Andersson	D	22	16.05.1994	Yes	216 Lbs	6 ft2	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link
Chase Balisy	C/LW/RW	24	02.02.1992	No	170 Lbs	5 ft11	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Link
Cole Ully	LW/RW	21	20.02.1995 15:46:38	Yes	181 Lbs	5 ft11	No	No	9	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Link
Darren Dietz	D	23	17.07.1993	Yes	204 Lbs	6 ft1	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Link
Greger Hanson	LW	28	17.02.1988	No	185 Lbs	5 ft10	No	No	1	Pro & Farm	1,100,000$	0$										Link
Jan Kostalek	D	21	16.02.1995	Yes	181 Lbs	6 ft1	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link
Jeff Lerg	G	30	09.04.1986	No	163 Lbs	5 ft6	No	No	1	Pro & Farm	500,000$	0$										Link
Joel Rechlicz	RW	29	14.06.1987	No	220 Lbs	6 ft4	No	No	1	Pro & Farm	1,100,000$	0$										Link
Justin Holl	RW/D	24	30.01.1992	Yes	170 Lbs	6 ft2	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link
Kenny Ryan	RW	25	10.07.1991 3:30:31	No	204 Lbs	6 ft0	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Link
Mark McNeill	C/RW	23	22.02.1993 3:35:38	Yes	214 Lbs	6 ft2	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Link
Mason McDonald	G	20	23.04.1996 1:19:01	Yes	201 Lbs	6 ft4	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Mike Liambas	LW	27	16.02.1989	No	204 Lbs	5 ft9	No	No	1	Pro & Farm	1,100,000$	0$										Link
Pat Nagle	G	29	21.09.1987	Yes	169 Lbs	6 ft2	No	No	1	Pro & Farm	1,100,000$	0$
Robert Hagg	D	21	08.02.1995	Yes	204 Lbs	6 ft2	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Link
Ryan Cruthers	C	32	04.07.1984	No	175 Lbs	6 ft0	No	No	1	Pro & Farm	1,100,000$	0$
Shane Bakker	C	28	11.11.1987	No	209 Lbs	6 ft4	No	No	1	Pro & Farm	1,100,000$	0$										Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	24.81	193 Lbs	6 ft1	5.7619047619048	447,619$

5 vs 5 Forward
Line #	Center	Left Wing	Right Wing	Time %	PHY	DF	OF
1	Brayden Irwin			40	1	2	2
2	Mark McNeill	Kenny Ryan		30	1	2	2
3	Chase Balisy		Kenny Ryan	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 #	Center	Left Wing	Right Wing	Time %	PHY	DF	OF
1	Brayden Irwin			60	1	2	2
2	Mark McNeill	Kenny Ryan		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	Brayden Irwin	Mark McNeill	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	Brayden Irwin	Mark McNeill	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
Center	Left Wing	Right Wing	Defense	Defense
Brayden Irwin

Last Minutes Defensive
Center	Left Wing	Right Wing	Defense	Defense
Brayden Irwin

Extra Forwards
Normal	PowerPlay	Penalty Kill
Kenny Ryan, Chase Balisy,	Kenny Ryan, Chase Balisy

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , Brayden Irwin, Mark McNeill,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , Brayden Irwin, Mark McNeill, , Kenny Ryan, Kenny Ryan, Chase Balisy, , ,

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

#	VS Team	GP	L	GF	GA	Diff	G	A	TP	GP1	GP2	SHF	SH1	SP2	SP3	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	Senators	1	1	1	6	-5	1	2	3	1	6	32	46	37	37	34	12	10	25	3	1	33.33%	0	0	0.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
2	Wolves	1	1	3	5	-2	3	5	8	1	6	28	46	37	37	40	20	22	24	2	0	0.00%	1	0	100.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
3	IceHogs	1	1	2	8	-6	2	3	5	1	6	27	46	37	37	28	11	45	26	1	0	0.00%	0	0	0.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
4	Monarchs	1	1	1	2	-1	1	1	2	1	6	33	46	37	37	38	15	39	24	7	0	0.00%	2	1	50.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
	Vs Division	1	1	1	6	-5	1	2	3	1	6	32	46	37	37	34	12	10	25	3	1	33.33%	0	0	0.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
	Vs Conference	1	1	1	6	-5	1	2	3	1	6	32	46	37	37	34	12	10	25	3	1	33.33%	0	0	0.00%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
	Since Last GM Reset	4	4	7	21	-14	7	11	18	1	6	120	46	37	37	140	58	116	99	13	1	7.69%	3	1	66.67%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35
	Total	4	4	7	21	-14	7	11	18	1	6	120	46	37	37	140	58	116	99	13	1	7.69%	3	1	66.67%	37	70	52.86%	46	75	61.33%	29	61	47.54%	73	40	96	35	69	35

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	0	L4	7	11	18	120	140	58	116	99	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	7	21

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	5	13

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	8

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	4	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
13	1	7.69%	3	1	66.67%	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
46	37	37	0	1	6	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 %
37	70	52.86%	46	75	61.33%	29	61	47.54%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
73	40	96	35	69	35

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

Date		Result	Detail
Trade Deadline --- Trades can’t be done after this day is simulated!
Sun, Apr 20	@	Marlies1,Monarchs2	RECAP
Mon, Apr 21	@	Marlies1,Senators6	RECAP
Thu, Apr 24	@	Wolves5,Marlies3	RECAP
Fri, Apr 25	@	IceHogs8,Marlies2	RECAP

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

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

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries
940,000$	230,000$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date
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