Profi League - Bruins

Bruins
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	Jonathan Marchessault		X	X		100.00	68	55	85	77	60	75	69	82	63	44	44	59	90	48	49	0	45	62	0
2	Adam Cracknell	X		X		99.00	79	46	67	70	59	58	69	65	85	40	41	64	50	55	56	0	45	59	0
3	Oliver Bjorkstrand (R)			X		100.00	67	42	69	74	59	63	67	70	59	41	44	61	55	52	52	0	48	59	0
4	Bryan Rust		X	X		100.00	70	44	67	69	53	57	67	65	60	41	40	61	50	49	49	0	45	56	0
5	Mike Blunden		X	X		100.00	72	99	58	64	59	51	62	62	57	40	43	57	50	58	59	0	41	56	0
6	Jordan Caron (A)		X	X		100.00	57	76	58	69	58	66	64	59	73	33	37	56	50	60	61	0	48	55	0
7	Tyler Randell			X		100.00	68	99	58	64	58	49	62	59	58	37	44	58	50	46	46	0	52	54	0
8	Brendan Woods	X	X			100.00	74	80	64	66	59	67	64	56	69	32	34	61	50	44	44	0	48	54	0
9	Carter Camper	X		X		100.00	59	62	69	68	49	69	65	59	67	37	33	59	50	44	44	0	48	53	0
10	Joshua Winquist		X			100.00	58	67	60	61	51	60	61	60	77	43	36	58	50	44	44	0	48	53	0
11	Jamie Devane		X			100.00	80	82	65	68	59	62	62	53	66	27	32	59	50	44	44	0	49	53	0
12	Xavier Ouellet				X	100.00	65	74	72	74	69	81	81	52	25	40	38	71	50	68	62	0	42	62	0
13	Slater Koekkoek (R)				X	100.00	66	69	90	78	67	85	86	51	25	41	37	69	50	55	55	0	48	62	0
14	Shane O'Brien				X	100.00	74	85	72	66	86	75	76	51	25	32	27	62	50	73	75	0	47	61	0
15	Tommy Cross				X	100.00	55	77	58	75	61	67	69	61	25	34	29	54	50	44	44	0	52	54	0
16	Keegan Lowe (R)				X	100.00	57	73	64	70	59	68	69	57	25	29	29	56	50	46	46	0	48	53	0
17	Trevor Murphy (R)				X	100.00	55	62	61	67	55	60	64	67	25	36	34	54	50	44	44	0	48	53	0
18	Justin Hache				X	100.00	58	75	65	66	60	68	69	56	25	28	27	56	50	45	45	0	49	52	0
Scratches
1	Eric Boulton		X			94.22	62	60	56	61	59	49	59	59	56	32	42	62	50	76	77	0	46	55	0
2	Joseph Cramarossa	X				100.00	59	70	61	65	54	64	63	55	64	28	35	55	50	44	44	0	46	51	0
3	Ben Sexton	X				100.00	57	66	59	67	51	52	60	53	57	26	32	52	50	44	44	0	46	49	0

	TEAM AVERAGE					99.67	65	70	66	69	59	64	67	60	52	35	36	59	52	52	52	0	47	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
1	Ryan Massa	100.00	59	63	63	66	67	73	65	67	65	66	53	55	55	0	49	63	0
Scratches
1	Dan Ellis	95.00	69	85	74	73	72	74	61	61	62	59	65	64	62	0	48	66	0

	TEAM AVERAGE	97.50	64	74	69	70	70	74	63	64	64	63	59	60	59	0	49	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ted Dent	58	71	68	66	60	61	78	CAN	46	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	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Jonathan Marchessault	Bruins (BOS)		LW/RW	4	3	6	9	-2	2	0	10	22	5	10	13.64%	1	23.:.47	1	1	2	0	8	0	0	62.50%	24	24	3	0	0	1.89	0	0
2	Oliver Bjorkstrand	Bruins (BOS)		RW	4	3	4	7	-2	2	0	6	15	2	15	20.00%	0	17.:.37	0	2	2	0	1	1	0	25.00%	4	9	2	0	0	1.99	0	0
3	Adam Cracknell	Bruins (BOS)		C/RW	4	2	4	6	-1	0	0	11	8	6	15	25.00%	3	24.:.08	0	0	0	0	9	0	0	61.84%	76	5	5	0	0	1.24	0	0
4	Bryan Rust	Bruins (BOS)		LW/RW	4	0	3	3	-2	0	0	4	15	3	13	0.00%	3	18.:.55	0	0	0	0	1	0	0	25.00%	4	10	3	0	0	0.79	0	0
5	Brendan Woods	Bruins (BOS)		C/LW	4	0	3	3	-2	0	0	8	4	2	8	0.00%	0	19.:.46	0	0	0	0	2	0	0	51.56%	64	1	3	0	0	0.76	0	0
6	Mike Blunden	Bruins (BOS)		LW/RW	4	3	0	3	1	32	20	10	10	3	6	30.00%	1	14.:.35	0	0	0	0	0	0	0	80.00%	5	10	3	0	1	1.03	0	0
7	Slater Koekkoek	Bruins (BOS)		D	4	1	2	3	-6	0	0	7	4	2	1	25.00%	8	27.:.18	1	1	2	0	8	0	0	0.00%	0	2	11	0	0	0.55	0	0
8	Xavier Ouellet	Bruins (BOS)		D	4	1	1	2	-4	12	10	3	8	2	4	12.50%	13	25.:.22	0	0	0	0	8	0	1	0.00%	0	1	10	0	0	0.39	0	0
9	Tyler Randell	Bruins (BOS)		RW	4	1	1	2	-7	84	40	6	7	7	5	14.29%	0	11.:.02	0	0	0	0	0	0	0	0.00%	0	14	2	0	0	0.91	0	0
10	Carter Camper	Bruins (BOS)		C/RW	4	0	2	2	-8	0	0	4	10	8	10	0.00%	1	15.:.26	0	0	0	0	0	0	0	50.00%	36	3	5	0	0	0.65	0	0
11	Trevor Murphy	Bruins (BOS)		D	4	1	1	2	-2	2	0	2	4	3	1	25.00%	3	15.:.46	0	0	0	0	0	0	0	0.00%	0	0	3	0	0	0.63	0	0
12	Eric Boulton	Bruins (BOS)		LW	3	1	0	1	-5	0	0	3	6	2	8	16.67%	0	12.:.44	0	0	0	0	2	0	0	25.00%	4	9	0	0	0	0.52	0	0
13	Justin Hache	Bruins (BOS)		D	4	0	1	1	1	7	5	2	4	2	1	0.00%	4	14.:.14	0	0	0	0	1	0	0	0.00%	0	0	4	0	0	0.35	0	0
14	Jordan Caron	Bruins (BOS)		LW/RW	4	0	0	0	2	0	0	2	2	0	2	0.00%	1	04.:.08	0	0	0	0	0	0	0	0.00%	0	2	0	0	0	0.00	0	0
15	Keegan Lowe	Bruins (BOS)		D	4	0	0	0	-5	0	0	4	6	9	4	0.00%	6	19.:.15	0	0	0	0	6	0	0	0.00%	0	1	5	0	0	0.00	0	0
16	Joshua Winquist	Bruins (BOS)		LW	4	0	0	0	-2	0	0	1	1	1	1	0.00%	0	02.:.50	0	0	0	0	0	0	0	0.00%	0	0	1	0	0	0.00	0	0
17	Tommy Cross	Bruins (BOS)		D	4	0	0	0	-5	14	10	4	5	3	5	0.00%	5	18.:.47	0	0	0	0	4	0	0	0.00%	0	1	4	0	0	0.00	0	0
18	Jamie Devane	Bruins (BOS)		LW	4	0	0	0	-3	5	5	7	3	1	1	0.00%	1	10.:.00	0	0	0	0	2	0	0	0.00%	3	3	0	0	0	0.00	0	0
Team Total or Average		71	16	28	44	-52	160	90	94	84	134	61	110	11.94%	50	1170	16.48	2	4	6	13	67	0	1	58	1	1	54.55%	220	95	64	0	1	0.75	0	0	3	3	12	2	1	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

#	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
1	Dan Ellis	Bruins (BOS)	4	1	2	1	85.2%	4.98	229	0	0	19	128	72	0	0	0.0%	0	4	0	0	0	0
Team Total or Average	4	1	2	1	0.852	4.98	229	0	0	19	128	72	0	0	0.000	0	4	0	0	0	0

Show or Hide Column

Filter Tips

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

Player Name	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
Adam Cracknell	C/RW	31	15.07.1985	No	210 Lbs	6 ft2	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Link
Ben Sexton	C	25	06.06.1991	No	182 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
Brendan Woods	C/LW	24	11.06.1992	No	210 Lbs	6 ft4	No	No	1	Pro & Farm	1,000,000$	0$										Link
Bryan Rust	LW/RW	24	11.05.1992 15:24:46	No	192 Lbs	5 ft11	No	No	1	Pro & Farm	900,000$	0$										Link
Carter Camper	C/RW	28	06.07.1988 0:50:40	No	176 Lbs	5 ft9	No	No	2	Pro & Farm	700,000$	0$	700,000$									Link
Dan Ellis	G	36	19.06.1980	No	195 Lbs	5 ft11	No	No	1	Pro & Farm	1,700,000$	0$										Link
Eric Boulton	LW	40	17.08.1976	No	227 Lbs	6 ft0	No	No	1	Pro & Farm	400,000$	0$										Link
Jamie Devane	LW	25	20.02.1991 7:37:31	No	217 Lbs	6 ft5	No	No	3	Pro & Farm	600,000$	0$	600,000$	600,000$								Link
Jonathan Marchessault	LW/RW	25	27.12.1990	No	184 Lbs	5 ft8	No	No	1	Pro & Farm	1,500,000$	0$										Link
Jordan Caron	LW/RW	25	02.11.1990	No	204 Lbs	6 ft3	No	No	1	Pro & Farm	1,000,000$	0$										Link
Joseph Cramarossa	C	23	26.10.1992	No	190 Lbs	6 ft0	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Link
Joshua Winquist	LW	23	06.09.1993	No	185 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
Justin Hache	D	22	10.01.1994	No	202 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
Keegan Lowe	D	23	29.03.1993	Yes	195 Lbs	6 ft2	No	No	8	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$			Link
Mike Blunden	LW/RW	29	15.12.1986	No	216 Lbs	6 ft4	No	No	2	Pro & Farm	600,000$	0$	600,000$									Link
Oliver Bjorkstrand	RW	21	10.04.1995 6:35:04	Yes	176 Lbs	6 ft0	No	No	3	Pro & Farm	1,400,000$	0$	1,400,000$	1,400,000$								Link
Ryan Massa	G	26	06.07.1990	No	172 Lbs	6 ft0	No	No	1	Pro & Farm	400,000$	0$
Shane O'Brien	D	33	09.08.1983	No	230 Lbs	6 ft3	No	No	2	Pro & Farm	600,000$	0$	600,000$									Link
Slater Koekkoek	D	22	18.02.1994	Yes	184 Lbs	6 ft2	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Link
Tommy Cross	D	27	12.09.1989 1:57:38	No	206 Lbs	6 ft3	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Link
Trevor Murphy	D	21	16.07.1995	Yes	172 Lbs	5 ft10	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
Tyler Randell	RW	25	15.06.1991 1:34:13	No	197 Lbs	6 ft1	No	No	1	Pro & Farm	1,000,000$	0$										Link
Xavier Ouellet	D	23	29.07.1993 15:08:31	No	200 Lbs	6 ft1	No	No	2	Pro & Farm	1,200,000$	0$	1,200,000$									Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	26.13	197 Lbs	6 ft1	3.7391304347826	691,304$

5 vs 5 Forward
Line #	Center	Left Wing	Right Wing	Time %	PHY	DF	OF
1	Adam Cracknell	Jonathan Marchessault	Oliver Bjorkstrand	40	1	2	2
2	Brendan Woods	Bryan Rust	Mike Blunden	30	1	2	2
3	Carter Camper		Tyler Randell	20	1	2	2
4	Jonathan Marchessault	Jordan Caron	Adam Cracknell	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Slater Koekkoek	Xavier Ouellet	40	1	2	2
2	Tommy Cross	Keegan Lowe	30	1	2	2
3	Trevor Murphy	Justin Hache	20	1	2	2
4	Slater Koekkoek	Xavier Ouellet	10	1	2	2

Power Play Forward
Line #	Center	Left Wing	Right Wing	Time %	PHY	DF	OF
1	Adam Cracknell	Jonathan Marchessault	Oliver Bjorkstrand	60	1	2	2
2	Brendan Woods	Bryan Rust	Mike Blunden	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Slater Koekkoek	Xavier Ouellet	60	1	2	2
2	Tommy Cross	Keegan Lowe	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jonathan Marchessault	Adam Cracknell	60	1	2	2
2	Oliver Bjorkstrand	Bryan Rust	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Slater Koekkoek	Xavier Ouellet	60	1	2	2
2	Tommy Cross	Keegan Lowe	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jonathan Marchessault	60	1	2	2	Slater Koekkoek	Xavier Ouellet	60	1	2	2
2	Adam Cracknell	40	1	2	2	Tommy Cross	Keegan Lowe	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jonathan Marchessault	Adam Cracknell	60	1	2	2
2	Oliver Bjorkstrand	Bryan Rust	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Slater Koekkoek	Xavier Ouellet	60	1	2	2
2	Tommy Cross	Keegan Lowe	40	1	2	2

Last Minutes Offensive
Center	Left Wing	Right Wing	Defense	Defense
Adam Cracknell	Jonathan Marchessault	Oliver Bjorkstrand	Slater Koekkoek	Xavier Ouellet

Last Minutes Defensive
Center	Left Wing	Right Wing	Defense	Defense
Adam Cracknell	Jonathan Marchessault	Oliver Bjorkstrand	Slater Koekkoek	Xavier Ouellet

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jamie Devane, Joshua Winquist,	Jamie Devane, Joshua Winquist

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Trevor Murphy, Justin Hache, Tommy Cross	Trevor Murphy	Justin Hache, Tommy Cross

Penalty Shots
Jonathan Marchessault, Adam Cracknell, Oliver Bjorkstrand, Bryan Rust, Mike Blunden

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

#	VS Team	GP	W	L	OTL	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	SHF	SH1	SP2	SP3	SP4	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	Wolf Pack	1	0	0	1	2	3	-1	1	0.500	2	4	6	7	5	4	30	53	40	40	1	41	18	37	22	4	1	25.00%	1	0	100.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
2	Bulldogs	1	1	0	0	11	5	6	2	1.000	11	18	29	7	5	4	40	53	40	40	1	31	14	28	25	0	0	0.00%	4	1	75.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
3	Monsters	1	0	1	0	2	11	-9	0	0.000	2	4	6	7	5	4	33	53	40	40	1	38	13	84	27	3	1	33.33%	2	0	100.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
4	Sharks	1	0	1	0	1	8	-7	0	0.000	1	2	3	7	5	4	31	53	40	40	1	26	5	11	20	3	0	0.00%	3	1	66.67%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
	Vs Division	1	0	0	1	2	3	-1	1	0.500	2	4	6	7	5	4	30	53	40	40	1	41	18	37	22	4	1	25.00%	1	0	100.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
	Vs Conference	2	1	0	1	13	8	5	3	0.750	13	22	35	7	5	4	70	53	40	40	1	72	32	65	47	4	1	25.00%	5	1	80.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
	Since Last GM Reset	4	1	2	1	16	27	-11	3	0.375	16	28	44	7	5	4	134	53	40	40	1	136	50	160	94	10	2	20.00%	10	2	80.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32
	Total	4	1	2	1	16	27	-11	3	0.375	16	28	44	7	5	4	134	53	40	40	1	136	50	160	94	10	2	20.00%	10	2	80.00%	45	71	63.38%	39	77	50.65%	36	73	49.32%	96	63	80	30	65	32

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	3	W1	16	28	44	134	136	50	160	94	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	0	1	0	0	16	27

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	12	13

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	0	1	0	0	4	14

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
10	2	20.00%	10	2	80.00%	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
53	40	40	1	7	5	4	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
45	71	63.38%	39	77	50.65%	36	73	49.32%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
96	63	80	30	65	32

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, Nov 24	@	Bruins2,Wolf Pack3 (OT)	RECAP
Mon, Nov 25	@	Bruins2,Monsters11	RECAP
Thu, Nov 28	@	Sharks8,Bruins1	RECAP
Fri, Nov 29	@	Bulldogs5,Bruins11	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
1,590,000$	800,000$	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