BROOKLYN BLAZERS
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	BROOKLYN GRINDERS 2-4-0, 4pts	3	FINAL	4	HALIFAX HELL 7-3-0, 14pts

Team Stats
L2	Streak	W1
2-1-0	Home Record	5-0-0
0-3-0	Home Record	2-3-0
2-4-0	Last 10 Games	7-3-0
2.00	Goals Per Game	3.20
2.33	Goals Against Per Game	2.40
6.67%	Power Play Percentage	30.43%
100.00%	Penalty Kill Percentage	89.47%

HALIFAX HELL
7-3-0, 14pts

FINAL

BROOKLYN GRINDERS
2-4-0, 4pts

Team Stats
W1	Streak	L2
5-0-0	Home Record	2-1-0
2-3-0	Home Record	0-3-0
7-3-0	Last 10 Games	2-4-0
3.20	Goals Per Game	2.00
2.40	Goals Against Per Game	2.33
30.43%	Power Play Percentage	6.67%
89.47%	Penalty Kill Percentage	100.00%

Team Leaders
	Goals Nicklas Jensen 2	Assists Ian Cole 2

	Points Ian Cole 3	Plus/Minus Tobias Björnfot 2

	Wins Matt Hackett 2	Save Percentage Matt Hackett 0.905

Team Stats
Goals For 12 2.00 GFG	Shots For 146 24.33 Avg	Power Play Percentage 6.7% 1 GF	Offensive Zone Start 41.2%
Goals Against 14 2.33 GAA	Shots Against 147 24.50 Avg	Penalty Kill Percentage 100.0%% 0 GA	Defensive Zone Start 34.2%

Team Info
	General Manager	Kyle B
	Coach	Darryl Sutter
	Division	Smythe
	Conference	Rosling Conference
	Captain
	Assistant #1
	Assistant #2	Evgeny Svechnikov
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	32
	Farm Team	22
	Contract Limit	54 / 66
	Prospects	0

Show or Hide Columns

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	Evgeny Svechnikov (A)	X	X	X		100.00	99	81	50	84	84	93	85	78	68	74	70	55	68	99	95	0	81	74	1	27	2	1,133,000$
2	Nicklas Jensen		X	X		100.00	79	50	69	59	81	80	89	77	50	74	70	80	53	99	99	0	75	73	2	31	1	1,937,500$
3	Nathan Bastian			X		100.00	78	28	72	89	89	86	87	68	48	68	68	67	55	95	78	0	75	72	2	26	2	650,000$
4	Christian Fischer			X		100.00	8	1	99	71	81	89	86	70	43	69	71	61	59	83	79	0	63	67	2	27	2	890,000$
5	Zach Dean (R)	X				100.00	43	7	82	78	79	73	68	65	67	59	56	62	57	58	83	0	70	63	1	21	2	700,000$
6	Kirill Marchenko (R)		X	X		100.00	1	1	97	79	74	76	85	63	57	56	67	58	60	74	72	0	74	63	2	23	1	845,000$
7	Marco Kasper (R)	X				100.00	42	7	93	68	65	75	69	62	64	60	58	61	55	70	70	0	68	61	1	20	3	900,000$
8	Scott Timmins	X				100.00	60	50	76	61	76	70	70	51	70	50	53	71	57	91	92	0	19	61	0	34	1	500,000$
9	Gage Goncalves (R)	X				100.00	56	33	82	74	78	77	77	62	49	58	52	55	56	63	61	0	61	61	2	23	1	550,000$
10	Brandon Sutter	X		X		100.00	1	1	99	65	76	61	86	53	84	32	50	88	76	99	99	0	19	60	0	35	1	500,000$
11	Dmitri Buchelnikov (R)		X			100.00	26	19	68	69	72	68	70	65	50	59	58	63	58	65	60	0	65	60	2	19	3	600,000$
12	Aleksanteri Kaskimaki (R)	X				100.00	10	5	84	67	67	66	70	64	62	59	57	62	48	58	63	0	66	59	2	19	3	500,000$
13	Jeremy Lauzon				X	100.00	87	17	90	81	83	90	82	67	44	66	58	60	44	83	73	0	70	71	2	26	3	800,000$
14	Andrew Peeke				X	100.00	99	93	47	86	87	84	89	65	34	55	59	63	44	85	69	0	19	71	2	25	2	650,000$
15	Matt Corrente				X	100.00	93	93	26	61	76	62	68	82	50	76	69	61	56	99	99	0	50	70	0	36	1	600,000$
16	Ian Cole				X	100.00	26	16	99	55	80	56	74	84	50	78	76	71	58	93	85	0	68	67	0	35	2	910,000$
17	Mirco Mueller				X	100.00	35	4	99	65	83	74	87	73	43	64	56	71	44	95	83	0	32	67	1	29	1	1,000,000$
18	Corson Ceulemans (R)				X	100.00	65	70	79	78	78	76	65	63	44	59	51	69	44	69	64	0	74	66	1	20	2	800,000$
19	Tobias Björnfot (R)				X	100.00	37	6	90	75	74	71	74	59	44	64	53	66	50	76	74	0	50	64	1	23	3	650,000$
Scratches
1	Ryan White			X		100.00	98	87	37	61	75	61	67	65	75	65	62	60	68	99	99	0	20	65	0	36	2	829,000$
2	Mattias Tedenby		X			100.00	11	1	99	64	73	66	77	59	36	65	62	78	77	99	99	0	20	64	0	34	3	1,450,000$
3	Cameron Abney			X		100.00	1	1	99	65	74	74	71	59	40	54	55	73	58	92	98	0	20	61	2	33	1	500,000$
4	Dana Tyrell	X		X		100.00	47	36	95	64	73	76	79	53	61	45	47	70	58	99	99	0	20	60	0	35	1	500,000$
5	Nick Palmieri			X		100.00	32	21	99	56	82	69	77	46	81	39	48	71	63	93	90	0	19	58	0	34	1	500,000$
6	Cross Hanas (R)		X			100.00	54	46	97	70	74	65	67	55	52	52	52	58	59	63	58	0	20	57	2	21	1	600,000$
7	Alexander Campbell (R)		X			100.00	26	43	76	68	73	65	64	54	56	56	54	58	55	66	67	0	20	57	2	22	3	600,000$
8	Carter Mazur (R)		X			100.00	21	3	98	69	72	66	63	52	43	51	49	57	54	61	61	0	20	55	2	20	2	550,000$
9	Luca Sbisa				X	100.00	61	27	99	58	80	82	82	67	50	66	40	79	78	99	90	0	19	69	0	34	2	1,030,000$
10	Dennis Persson				X	100.00	36	63	80	64	75	69	76	38	50	41	32	74	70	99	99	0	20	62	0	35	1	500,000$

	TEAM AVERAGE					100.00	46	31	82	69	77	73	76	63	54	59	57	66	58	84	81	0	45	64

Show or Hide Columns

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	Matt Hackett	100.00	70	67	74	76	68	70	72	74	79	65	65	99	87	0	53	72	0	34	1	1,100,000$
2	Jakub Málek (R)	100.00	61	63	62	76	69	61	64	63	64	58	58	63	61	0	83	63	2	20	2	500,000$
Scratches
1	Joseph Woll (R)	100.00	66	74	76	80	70	68	69	72	70	64	57	86	69	0	76	70	2	25	2	650,000$

	TEAM AVERAGE	100.00	66	68	71	77	69	66	68	70	71	62	60	83	72	0	71	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Darryl Sutter	79	78	76	91	99	99	51	CAN	59	2	1,132,000$

Show or Hide Columns

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	PKM	GW	FO%	FOT	GA	TA	P/20	FW	FL	FT	S1	S2
1	Matt Boldy	BROOKLYN BLAZERS	LW/RW	6	3	3	6	-1	2	0	8	11	16	5	10	18.75%	7	133	22.31	0	1	1	0	12	5	0	66.67%	9	6	0	0.90	0	0	0	1	1
2	Rasmus Sandin	BROOKLYN BLAZERS	D	6	0	4	4	-4	0	0	7	3	10	6	4	0%	7	136	22.69	0	0	0	0	15	1	0	0%	0	5	5	0.59	0	0	0	1	0
3	Ryan Donato	BROOKLYN BLAZERS	C	6	2	2	4	-1	0	0	11	26	18	9	9	11.11%	5	136	22.77	0	0	0	1	12	9	0	42.15%	121	3	2	0.59	0	0	0	0	1
4	Ian Cole	BROOKLYN GRINDERS (BRK)	D	4	1	2	3	0	0	0	3	4	7	3	1	14.29%	8	100	25.21	0	1	1	0	12	8	0	0%	0	1	3	0.60	0	0	0	0	0
5	Marco Kasper	BROOKLYN GRINDERS (BRK)	C	4	0	2	2	0	0	0	3	2	1	2	3	0%	1	67	16.75	0	0	0	0	10	2	0	28.57%	14	1	0	0.60	0	0	0	0	0
6	Evgeny Svechnikov	BROOKLYN GRINDERS (BRK)	C/LW/RW	6	1	1	2	-3	19	5	27	8	15	5	11	6.67%	6	105	17.61	1	0	1	1	12	3	0	44.12%	34	6	4	0.38	0	0	1	0	0
7	Jeremy Lauzon	BROOKLYN GRINDERS (BRK)	D	6	1	1	2	-5	0	0	13	7	6	1	4	16.67%	9	140	23.35	0	0	0	0	11	7	1	0%	0	1	4	0.29	0	0	0	0	0
8	Zach Dean	BROOKLYN GRINDERS (BRK)	C	6	1	1	2	-2	0	0	5	13	6	3	2	16.67%	1	98	16.47	0	0	0	0	3	4	0	40.43%	94	0	1	0.40	0	0	0	0	0
9	Nicklas Jensen	BROOKLYN GRINDERS (BRK)	LW/RW	6	2	0	2	-2	16	10	10	8	23	5	10	8.70%	1	112	18.78	0	0	0	2	11	6	0	57.14%	7	4	1	0.35	0	2	0	0	1
10	Christian Fischer	BROOKLYN GRINDERS (BRK)	RW	6	0	1	1	1	0	0	3	5	13	1	7	0%	1	79	13.31	0	0	0	0	11	3	0	0%	2	2	2	0.25	0	0	0	0	0
11	Nathan Bastian	BROOKLYN GRINDERS (BRK)	RW	6	1	0	1	-2	4	0	9	5	13	0	5	7.69%	2	75	12.52	0	0	0	0	1	0	1	0%	1	1	0	0.27	0	0	0	0	0
12	Matt Corrente	BROOKLYN GRINDERS (BRK)	D	6	0	1	1	2	5	5	9	3	4	1	2	0%	1	57	9.66	0	0	0	0	0	0	0	0%	0	2	2	0.35	1	0	0	0	0
13	Aleksanteri Kaskimaki	BROOKLYN GRINDERS (BRK)	C	4	0	1	1	1	0	0	0	4	3	0	4	0%	0	36	9.23	0	0	0	0	0	0	0	66.67%	12	0	0	0.54	0	0	0	0	0
14	Dennis Persson	BROOKLYN GRINDERS (BRK)	D	2	0	0	0	0	0	0	0	3	0	0	0	0%	0	6	3.17	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0	0	0
15	Mattias Tedenby	BROOKLYN GRINDERS (BRK)	LW	2	0	0	0	0	0	0	0	2	0	0	0	0%	1	15	7.95	0	0	0	0	0	0	0	0%	0	0	2	0	0	0	0	0	0
16	Andrew Peeke	BROOKLYN GRINDERS (BRK)	D	2	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	0.75	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0
17	Tobias Björnfot	BROOKLYN GRINDERS (BRK)	D	6	0	0	0	2	0	0	4	14	1	2	2	0%	11	125	20.91	0	0	0	0	11	9	0	0%	0	0	2	0	0	0	0	0	0
18	Corson Ceulemans	BROOKLYN GRINDERS (BRK)	D	6	0	0	0	-1	0	0	10	9	5	0	0	0%	3	91	15.29	0	0	0	0	0	0	0	0%	0	0	2	0	0	0	0	0	0
19	Dmitri Buchelnikov	BROOKLYN GRINDERS (BRK)	LW	4	0	0	0	1	0	0	6	6	4	1	1	0%	0	37	9.49	0	0	0	0	0	0	0	100.00%	1	0	1	0	0	0	0	0	0
20	Gage Goncalves	BROOKLYN GRINDERS (BRK)	C	4	0	0	0	-1	2	0	3	2	1	1	0	0%	1	44	11.04	0	0	0	0	0	0	0	0%	1	0	2	0	0	0	0	0	0
21	Mirco Mueller	BROOKLYN GRINDERS (BRK)	D	6	0	0	0	0	0	0	0	0	0	0	0	0%	1	20	3.47	0	0	0	0	0	6	0	0%	0	0	1	0	0	0	0	0	0
22	Ryan White	BROOKLYN GRINDERS (BRK)	RW	2	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.26	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0
23	Luca Sbisa	BROOKLYN GRINDERS (BRK)	D	2	0	0	0	0	0	0	1	0	0	0	0	0%	1	45	22.94	0	0	0	0	2	1	0	0%	0	1	0	0	0	0	0	0	0
24	Kirill Marchenko	BROOKLYN GRINDERS (BRK)	LW/RW	6	0	0	0	0	0	0	1	3	0	1	1	0%	3	110	18.35	0	0	0	0	2	0	0	18.75%	16	2	4	0	0	0	0	0	0
Team Total or Average				114	12	19	31	-15	48	20	133	138	146	46	76	8.22%	70	1781	15.63	1	2	3	4	133	71	2	41.85%	313	35	38	0.35	1	2	1	2	3

Show or Hide Columns

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	PCT	GAA	MP	GA	SA	SAR	PS %	ST	BG	S3
1	Matt Hackett	BROOKLYN GRINDERS (BRK)	4	2	2	0.905	2.27	238	9	95	52	0	4	0	1
2	Jakub Málek	BROOKLYN GRINDERS (BRK)	2	0	2	0.904	2.50	120	5	52	32	0	2	4	0
Team Total or Average			6	2	4	0.905	2.35	358	14	147	84		6	4	1

Show or Hide Columns

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	Acquired By	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	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	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Aleksanteri Kaskimaki	BROOKLYN GRINDERS (BRK)	C	19	6/1/2004 3:26:04 AM	Yes	180 Lbs	6 ft0	No	No	N/A	No	No	3	Pro & Farm	500,000$	107,143$	40,000$	8,571$	50,000$	10,714$	No	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Alexander Campbell	BROOKLYN GRINDERS (BRK)	LW	22	6/1/2001 8:00:21 AM	Yes	191 Lbs	6 ft2	No	No	N/A	No	No	3	Pro & Farm	600,000$	128,571$	40,000$	8,571$	60,000$	12,857$	No	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Andrew Peeke	BROOKLYN GRINDERS (BRK)	D	25	6/1/1998 9:24:05 AM	No	213 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	650,000$	139,286$	40,000$	8,571$	65,000$	13,929$	No	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Brandon Sutter	BROOKLYN GRINDERS (BRK)	C/RW	35	2/14/1989	No	203 Lbs	6 ft3	No	No	N/A	No	No	1	Pro & Farm	500,000$	107,143$	40,000$	8,571$	50,000$	10,714$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Cameron Abney	BROOKLYN GRINDERS (BRK)	RW	33	8/7/1990 5:32:53 AM	No	198 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	500,000$	107,143$	40,000$	8,571$	50,000$	10,714$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Carter Mazur	BROOKLYN GRINDERS (BRK)	LW	20	6/1/2003 7:20:26 AM	Yes	188 Lbs	6 ft2	No	No	N/A	No	No	2	Pro & Farm	550,000$	117,857$	40,000$	8,571$	55,000$	11,786$	No	550,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Christian Fischer	BROOKLYN GRINDERS (BRK)	RW	27	4/15/1997 3:47:13 AM	No	235 Lbs	6 ft4	No	No	N/A	No	No	2	Pro & Farm	890,000$	190,714$	40,000$	8,571$	89,000$	19,071$	No	890,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Corson Ceulemans	BROOKLYN GRINDERS (BRK)	D	20	5/5/2003 8:36:21 AM	Yes	204 Lbs	6 ft4	No	No	N/A	No	No	2	Pro & Farm	800,000$	171,429$	40,000$	8,571$	80,000$	17,143$	No	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Cross Hanas	BROOKLYN GRINDERS (BRK)	LW	21	6/1/2002 4:47:11 AM	Yes	185 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	600,000$	128,571$	40,000$	8,571$	60,000$	12,857$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dana Tyrell	BROOKLYN GRINDERS (BRK)	C/RW	35	4/23/1989	No	197 Lbs	5 ft11	No	No	N/A	No	No	1	Pro & Farm	500,000$	107,143$	40,000$	8,571$	50,000$	10,714$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dennis Persson	BROOKLYN GRINDERS (BRK)	D	35	6/2/1988	No	201 Lbs	6 ft1	No	No	N/A	No	No	1	Pro & Farm	500,000$	107,143$	40,000$	8,571$	50,000$	10,714$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dmitri Buchelnikov	BROOKLYN GRINDERS (BRK)	LW	19	6/1/2004 8:51:17 AM	Yes	180 Lbs	6 ft0	No	No	N/A	No	No	3	Pro & Farm	600,000$	128,571$	40,000$	8,571$	60,000$	12,857$	No	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Evgeny Svechnikov	BROOKLYN GRINDERS (BRK)	C/LW/RW	27	10/31/1996 3:00:50 AM	No	228 Lbs	6 ft5	No	No	N/A	No	No	2	Pro & Farm	1,133,000$	242,786$	40,000$	8,571$	113,300$	24,279$	No	1,133,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Gage Goncalves	BROOKLYN GRINDERS (BRK)	C	23	1/16/2001 5:06:14 AM	Yes	176 Lbs	6 ft1	No	No	N/A	No	No	1	Pro & Farm	550,000$	117,857$	40,000$	8,571$	55,000$	11,786$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ian Cole	BROOKLYN GRINDERS (BRK)	D	35	2/21/1989	No	234 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	910,000$	195,000$	40,000$	8,571$	91,000$	19,500$	No	910,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jakub Málek	BROOKLYN GRINDERS (BRK)	G	20	6/1/2003 7:52:54 AM	Yes	225 Lbs	6 ft4	No	No	N/A	No	No	2	Pro & Farm	500,000$	107,143$	40,000$	8,571$	50,000$	10,714$	No	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Jeremy Lauzon	BROOKLYN GRINDERS (BRK)	D	26	5/29/1997 4:59:54 AM	No	206 Lbs	6 ft2	No	No	N/A	No	No	3	Pro & Farm	800,000$	171,429$	40,000$	8,571$	80,000$	17,143$	No	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Joseph Woll	BROOKLYN GRINDERS (BRK)	G	25	7/12/1998 2:37:13 AM	Yes	217 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	650,000$	139,286$	40,000$	8,571$	65,000$	13,929$	No	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kirill Marchenko	BROOKLYN GRINDERS (BRK)	LW/RW	23	7/21/2000 7:25:26 AM	Yes	193 Lbs	6 ft3	No	No	N/A	No	No	1	Pro & Farm	845,000$	181,071$	40,000$	8,571$	84,500$	18,107$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Luca Sbisa	BROOKLYN GRINDERS (BRK)	D	34	1/30/1990	No	224 Lbs	6 ft2	No	No	N/A	No	No	2	Pro & Farm	1,030,000$	220,714$	40,000$	8,571$	103,000$	22,071$	No	1,030,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Marco Kasper	BROOKLYN GRINDERS (BRK)	C	20	4/8/2004 6:28:01 AM	Yes	183 Lbs	6 ft1	No	No	N/A	No	No	3	Pro & Farm	900,000$	192,857$	40,000$	8,571$	90,000$	19,286$	No	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Matt Corrente	BROOKLYN GRINDERS (BRK)	D	36	3/17/1988	No	207 Lbs	6 ft0	No	No	N/A	No	No	1	Pro & Farm	600,000$	128,571$	40,000$	8,571$	60,000$	12,857$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matt Hackett	BROOKLYN GRINDERS (BRK)	G	34	3/7/1990	No	190 Lbs	6 ft2	No	No	N/A	No	No	1	Pro & Farm	1,100,000$	235,714$	40,000$	8,571$	110,000$	23,571$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mattias Tedenby	BROOKLYN GRINDERS (BRK)	LW	34	2/21/1990	No	195 Lbs	5 ft10	No	No	N/A	No	No	3	Pro & Farm	1,450,000$	310,714$	40,000$	8,571$	145,000$	31,071$	No	1,450,000$	1,450,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Mirco Mueller	BROOKLYN GRINDERS (BRK)	D	29	3/21/1995 1:36:32 AM	No	231 Lbs	6 ft6	No	No	N/A	No	No	1	Pro & Farm	1,000,000$	214,286$	40,000$	8,571$	100,000$	21,429$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Nathan Bastian	BROOKLYN GRINDERS (BRK)	RW	26	12/6/1997 9:49:39 AM	No	214 Lbs	6 ft1	No	No	N/A	No	No	2	Pro & Farm	650,000$	139,286$	40,000$	8,571$	65,000$	13,929$	No	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Nick Palmieri	BROOKLYN GRINDERS (BRK)	RW	34	7/12/1989	No	235 Lbs	6 ft3	No	No	N/A	No	No	1	Pro & Farm	500,000$	107,143$	40,000$	8,571$	50,000$	10,714$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nicklas Jensen	BROOKLYN GRINDERS (BRK)	LW/RW	31	3/6/1993 6:47:41 AM	No	230 Lbs	6 ft3	No	No	N/A	No	No	1	Pro & Farm	1,937,500$	415,179$	1,550,000$	332,143$	193,750$	41,518$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ryan White	BROOKLYN GRINDERS (BRK)	RW	36	3/17/1988	No	210 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	829,000$	177,643$	40,000$	8,571$	82,900$	17,764$	No	829,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Scott Timmins	BROOKLYN GRINDERS (BRK)	C	34	9/11/1989	No	209 Lbs	5 ft11	No	No	N/A	No	No	1	Pro & Farm	500,000$	107,143$	40,000$	8,571$	50,000$	10,714$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tobias Björnfot	BROOKLYN GRINDERS (BRK)	D	23	4/6/2001 4:56:28 AM	Yes	198 Lbs	6 ft1	No	No	N/A	No	No	3	Pro & Farm	650,000$	139,286$	40,000$	8,571$	65,000$	13,929$	No	650,000$	650,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Zach Dean	BROOKLYN GRINDERS (BRK)	C	21	1/4/2003 8:47:03 AM	Yes	180 Lbs	6 ft0	No	No	N/A	No	No	2	Pro & Farm	700,000$	150,000$	40,000$	8,571$	70,000$	15,000$	No	700,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
32	27.56	205 Lbs	6 ft2	1.81	763,266$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brandon Sutter	Aleksanteri Kaskimaki	Kirill Marchenko	35	0	1	4
2	Nicklas Jensen	Zach Dean	Marco Kasper	30	0	1	4
3	Nathan Bastian	Evgeny Svechnikov	Gage Goncalves	20	1	2	2
4	Dmitri Buchelnikov	Aleksanteri Kaskimaki	Christian Fischer	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Cole	Corson Ceulemans	40	1	2	2
2	Matt Corrente	Tobias Björnfot	30	1	2	2
3	Corson Ceulemans	Jeremy Lauzon	20	1	2	2
4	Corson Ceulemans	Jeremy Lauzon	10	0	3	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Evgeny Svechnikov	Brandon Sutter	Aleksanteri Kaskimaki	50	0	2	3
2	Christian Fischer	Marco Kasper	Nicklas Jensen	50	0	2	3

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Andrew Peeke	Ian Cole	60	1	2	2
2	Tobias Björnfot	Jeremy Lauzon	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Gage Goncalves	Nicklas Jensen	60	0	3	2
2	Zach Dean	Christian Fischer	40	0	3	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Tobias Björnfot	Ian Cole	60	0	3	2
2	Jeremy Lauzon	Mirco Mueller	40	0	3	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Gage Goncalves	60	0	5	0	Mirco Mueller	Ian Cole	60	0	5	0
2	Evgeny Svechnikov	40	0	5	0	Jeremy Lauzon	Matt Corrente	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Christian Fischer	Nicklas Jensen	60	1	2	2
2	Gage Goncalves	Evgeny Svechnikov	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jeremy Lauzon	Corson Ceulemans	60	1	2	2
2	Andrew Peeke	Ian Cole	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Evgeny Svechnikov	Aleksanteri Kaskimaki	Brandon Sutter	Jeremy Lauzon	Ian Cole

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Nicklas Jensen	Aleksanteri Kaskimaki	Brandon Sutter	Jeremy Lauzon	Ian Cole

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nathan Bastian, Kirill Marchenko, Zach Dean	Nathan Bastian, Marco Kasper	Nicklas Jensen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Corson Ceulemans, Mirco Mueller, Tobias Björnfot	Matt Corrente	Matt Corrente, Tobias Björnfot

Penalty Shots
Evgeny Svechnikov, Kirill Marchenko, Mirco Mueller, Nicklas Jensen, Dmitri Buchelnikov

Goalie
#1 : Matt Hackett, #2 : Jakub Málek

Custom OT Lines Forwards
Evgeny Svechnikov, Brandon Sutter, Gage Goncalves , Nicklas Jensen, Christian Fischer, Zach Dean, Zach Dean, Kirill Marchenko, Dmitri Buchelnikov, Aleksanteri Kaskimaki,

Custom OT Lines Defensemen
Ian Cole, Matt Corrente, Jeremy Lauzon, Tobias Björnfot, Corson Ceulemans

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	HALIFAX HELL	6	2	4	0	0	0	0	0	12	14	-2	3	2	1	0	0	0	0	0	9	5	4	3	0	3	0	0	0	0	0	3	9	-6	4	0.333	12	19	31	0	0	4	4	4	0	146	49	52	45	0	147	70	48	133	15	1	6.67%	9	0	100.00%	0	47	129	36.43%	54	107	50.47%	30	77	38.96%	114	56	130	56	114	58
	Total	6	2	4	0	0	0	0	0	12	14	-2	3	2	1	0	0	0	0	0	9	5	4	3	0	3	0	0	0	0	0	3	9	-6	4	0.333	12	19	31	0	0	4	4	4	0	146	49	52	45	0	147	70	48	133	15	1	6.67%	9	0	100.00%	0	47	129	36.43%	54	107	50.47%	30	77	38.96%	114	56	130	56	114	58
	_Since Last GM Reset	6	2	4	0	0	0	0	0	12	14	-2	3	2	1	0	0	0	0	0	9	5	4	3	0	3	0	0	0	0	0	3	9	-6	4	0.333	12	19	31	0	0	4	4	4	0	146	49	52	45	0	147	70	48	133	15	1	6.67%	9	0	100.00%	0	47	129	36.43%	54	107	50.47%	30	77	38.96%	114	56	130	56	114	58
	_Vs Conference	6	2	4	0	0	0	0	0	12	14	-2	3	2	1	0	0	0	0	0	9	5	4	3	0	3	0	0	0	0	0	3	9	-6	4	0.333	12	19	31	0	0	4	4	4	0	146	49	52	45	0	147	70	48	133	15	1	6.67%	9	0	100.00%	0	47	129	36.43%	54	107	50.47%	30	77	38.96%	114	56	130	56	114	58
	_Vs Division	6	2	4	0	0	0	0	0	12	14	-2	3	2	1	0	0	0	0	0	9	5	4	3	0	3	0	0	0	0	0	3	9	-6	4	0.333	12	19	31	0	0	4	4	4	0	146	49	52	45	0	147	70	48	133	15	1	6.67%	9	0	100.00%	0	47	129	36.43%	54	107	50.47%	30	77	38.96%	114	56	130	56	114	58

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	4	L2	12	19	31	146	147	70	48	133	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	12	14

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	9	5

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	0	3	0	0	0	0	3	9

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	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
15	1	6.67%	9	0	100.00%	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
49	52	45	0	4	4	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 %
47	129	36.43%	54	107	50.47%	30	77	38.96%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
114	56	130	56	114	58

Last Played Games Show or Hide Columns

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	Link
2	7	BROOKLYN GRINDERS	0	HALIFAX HELL	2	AL	BoxScore
4	15	BROOKLYN GRINDERS	0	HALIFAX HELL	3	AL	BoxScore
6	23	HALIFAX HELL	1	BROOKLYN GRINDERS	4	BW	BoxScore
8	31	HALIFAX HELL	2	BROOKLYN GRINDERS	4	BW	BoxScore
10	39	BROOKLYN GRINDERS	3	HALIFAX HELL	4	AL	BoxScore
12	47	HALIFAX HELL	2	BROOKLYN GRINDERS	1	BL	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	6,000	3,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	3000 - 100.00%	85,000$	255,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,442,450$	279,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	32	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	6	0$	0$

BROOKLYN GRINDERS Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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

BROOKLYN GRINDERS Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

BROOKLYN GRINDERS Career Team Stats

Show or Hide Columns

	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

BROOKLYN GRINDERS Players Stat Leaders (Play-Off)

Show or Hide Columns

#	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

BROOKLYN GRINDERS Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	BROOKLYN GRINDERS
	GP: 6 \| W: 2 \| L: 4 GF: 12 \| GA: 14 \| PP%: 6.67% \| PK%: 100.00% GM : Kyle B \| Morale : 44 \| Team Overall : 64