SIM4 - Connecticut Whale

New York Rangers
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1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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	Drew Shore	X				100.00	50	35	79	66	78	50	43	60	50	57	52	70	54	62	53	63	40	58	0
2	Nick Shore	X				100.00	59	37	71	69	71	47	65	59	80	56	52	67	54	60	51	71	40	58	0
3	Quinton Howden	X	X			100.00	69	42	77	70	73	45	54	61	34	53	57	66	56	60	53	71	40	58	0
4	Ryan Reaves			X		100.00	95	85	74	67	77	46	71	57	30	50	54	55	54	70	61	31	40	58	0
5	Max McCormick		X	X		100.00	63	76	50	72	65	56	53	59	48	53	56	59	55	60	51	71	40	57	0
6	Nick Ritchie		X			100.00	63	45	65	72	81	49	52	59	31	52	56	61	55	54	53	95	40	57	0
7	Riley Barber (R)			X		100.00	48	35	77	73	70	49	50	62	30	55	59	50	57	56	50	87	40	56	0
8	Laurent Dauphin	X				100.00	51	40	67	68	66	49	47	54	54	48	51	70	52	54	40	95	40	55	0
9	Colton Hargrove (R)		X			100.00	54	42	67	68	78	49	45	56	30	51	53	50	53	60	47	71	40	54	0
10	Eriah Hayes			X		100.00	54	36	74	65	82	46	41	55	31	51	52	56	53	68	52	39	40	54	0
11	Morgan Ellis				X	100.00	54	36	72	68	75	47	48	57	30	48	53	66	53	60	50	71	40	58	0
12	Robert Bortuzzo				X	100.00	82	76	61	61	83	45	43	47	30	44	48	67	49	66	58	47	40	58	0
13	Andrew Bodnarchuk				X	100.00	60	39	72	66	67	45	44	49	30	47	42	63	49	68	58	39	40	56	0
14	Tyler Wotherspoon				X	100.00	50	35	81	60	76	49	44	47	30	43	42	73	47	58	48	79	40	56	0
15	Brett Lernout				X	100.00	57	43	68	65	83	48	43	48	30	43	43	61	48	54	52	95	40	55	0
16	Ryan Johnston				X	100.00	46	35	80	72	61	48	40	49	30	45	40	64	49	60	56	71	40	55	0
17	Michael Sdao				X	100.00	66	59	54	60	86	51	40	45	30	40	44	54	48	66	48	47	40	54	0
Scratches
1	Austen Brassard			X		100.00	52	36	73	69	79	48	55	56	30	52	53	50	53	58	48	79	40	54	0
2	Rob Flick	X	X			100.00	57	43	62	68	77	49	43	55	34	50	50	51	52	62	61	63	40	54	0
3	Luke Gazdic		X			100.00	65	76	79	62	85	45	43	51	31	45	48	58	50	66	57	47	40	53	0
4	Matt Lindblad		X			100.00	45	35	82	68	66	45	40	53	39	50	50	57	52	64	48	55	40	53	0
5	Jacob Doty	X		X		100.00	64	62	54	71	77	53	40	50	30	46	47	50	51	58	54	79	40	52	0
6	Jared Gomes	X				100.00	48	35	75	71	67	46	41	52	42	49	49	50	52	68	51	39	40	52	0
7	Danny Hobbs	X	X			100.00	48	35	77	69	70	45	40	49	31	45	46	50	50	66	54	47	40	51	0
8	Derek DeBlois			X		100.00	48	35	75	75	65	45	40	48	30	45	45	50	51	62	58	63	40	51	0
9	Matt Willows			X		100.00	45	35	72	77	60	47	40	51	30	43	48	49	45	62	56	63	40	51	0
10	Jonathan Parker			X		100.00	43	35	95	69	64	48	40	48	30	43	42	51	40	62	61	63	40	50	0
11	Patrick McGrath (R)			X		100.00	66	52	50	74	65	45	40	46	30	43	42	50	49	58	55	79	40	50	0
12	Jordan Henry				X	100.00	53	43	57	61	74	52	40	46	30	39	41	55	40	72	64	23	40	53	0
13	Patrick Cullity				X	100.00	53	38	75	60	77	47	40	47	30	40	40	56	43	70	63	31	40	53	0
14	Alex Gudbranson				X	100.00	48	35	88	67	76	47	40	44	30	39	42	53	41	56	51	87	40	52	0
15	Matt Mangene		X	X	X	100.00	49	35	75	66	66	45	40	48	33	43	44	53	49	66	55	47	40	52	0
16	Christian Marti (R)				X	100.00	49	35	79	60	80	45	40	45	30	38	40	51	46	58	52	79	40	51	0

	TEAM AVERAGE					100.00	56	44	71	68	73	48	45	52	34	47	48	57	50	62	54	63	40	54

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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	Niklas Backstrom	100.00	55	56	68	73	66	66	62	62	62	62	55	88	86	5	40	65	0
2	Malcolm Subban	100.00	52	52	61	73	63	62	59	60	59	63	55	58	52	79	40	59	0
Scratches
1	Troy Grosenick	100.00	45	52	63	69	60	54	51	52	52	54	55	66	60	47	40	55	0
2	Josh Robinson	100.00	45	50	59	69	60	50	45	46	46	57	55	66	55	47	40	53	0
3	Jacob Deserres	100.00	45	50	55	50	60	50	45	45	45	45	55	64	50	55	40	49	0

	TEAM AVERAGE	100.00	48	52	61	67	62	56	52	53	53	56	55	68	61	47	40	56

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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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	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	FL	S1	S2	S3
1	Drew Shore	Connecticut Whale (NYR)	C	7	1	3	4	-4	0	0	1	12	6	16.67%	1	144	20.65	1	2	3	2	17	1	27	0	44.32%	185	0.55	0	0	0	0
2	Nick Ritchie	Connecticut Whale (NYR)	LW	7	2	2	4	-2	2	0	5	10	11	18.18%	0	127	18.21	0	0	0	4	19	0	6	0	50.00%	10	0.63	0	0	0	1
3	Laurent Dauphin	Connecticut Whale (NYR)	C	7	1	2	3	-5	6	0	5	12	15	6.67%	1	116	16.58	0	1	1	0	7	0	5	0	32.65%	98	0.52	0	0	0	0
4	Tyler Wotherspoon	Connecticut Whale (NYR)	D	7	1	2	3	-4	0	0	4	6	7	14.29%	6	137	19.62	1	0	1	4	15	0	21	0	0.00%	0	0.44	0	1	0	0
5	Colton Hargrove	Connecticut Whale (NYR)	LW	7	1	1	2	-5	2	0	8	5	5	20.00%	0	106	15.22	0	0	0	0	1	0	0	0	0.00%	4	0.38	0	0	0	0
6	Max McCormick	Connecticut Whale (NYR)	LW/RW	7	2	0	2	-1	8	0	16	8	14	14.29%	0	122	17.47	0	0	0	1	21	0	1	1	100.00%	4	0.33	0	0	1	0
7	Michael Sdao	Connecticut Whale (NYR)	D	7	0	2	2	0	0	0	4	1	1	0.00%	2	68	9.85	0	0	0	1	5	0	11	0	0.00%	0	0.58	0	0	0	0
8	Quinton Howden	Connecticut Whale (NYR)	C/LW	7	1	1	2	-4	7	5	5	5	14	7.14%	0	138	19.75	0	1	1	0	14	1	24	0	0.00%	5	0.29	1	0	0	0
9	Robert Bortuzzo	Connecticut Whale (NYR)	D	7	1	1	2	0	14	0	12	2	5	20.00%	7	142	20.34	1	0	1	3	19	0	20	0	0.00%	0	0.28	0	0	0	0
10	Morgan Ellis	Connecticut Whale (NYR)	D	7	0	1	1	-3	0	0	4	2	6	0.00%	2	130	18.60	0	1	1	4	22	0	26	0	0.00%	0	0.15	0	0	0	0
11	Nick Shore	Connecticut Whale (NYR)	C	7	0	1	1	-1	2	0	3	15	9	0.00%	1	132	18.89	0	0	0	1	19	0	16	0	66.21%	145	0.15	0	0	0	0
12	Riley Barber	Connecticut Whale (NYR)	RW	7	0	1	1	-5	2	0	4	8	11	0.00%	0	112	16.13	0	0	0	0	8	0	0	0	41.18%	17	0.18	0	0	0	0
13	Ryan Reaves	Connecticut Whale (NYR)	RW	7	0	1	1	-5	23	5	21	9	2	0.00%	1	111	15.99	0	1	1	0	16	1	11	0	25.00%	8	0.18	1	0	0	0
14	Andrew Bodnarchuk	Connecticut Whale (NYR)	D	7	0	0	0	-4	8	0	17	5	3	0.00%	2	132	18.96	0	0	0	2	15	0	18	0	0.00%	0	0.00	0	0	0	0
15	Brett Lernout	Connecticut Whale (NYR)	D	7	0	0	0	-6	4	0	10	5	3	0.00%	5	113	16.21	0	0	0	0	0	0	12	0	0.00%	0	0.00	0	0	0	0
16	Eriah Hayes	Connecticut Whale (NYR)	RW	7	0	0	0	-2	0	0	2	3	9	0.00%	0	70	10.08	0	0	0	1	2	1	14	0	42.86%	14	0.00	0	0	0	0
17	Ryan Johnston	Connecticut Whale (NYR)	D	7	0	0	0	-6	4	0	5	5	4	0.00%	5	112	16.08	0	0	0	0	8	0	3	0	0.00%	0	0.00	0	0	0	0
Team Total or Average				119	10	18	28	-57	82	10	126	113	125	8.00%	33	2020	16.98	3	6	9	23	212	4	222	1	47.76%	490	0.28	2	1	1	1

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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	ST	BG	S3
1	Niklas Backstrom	Connecticut Whale (NYR)	7	1	6	0.856	3.05	374	19	132	7	0	1
2	Malcolm Subban	Connecticut Whale (NYR)	1	0	0	0.750	5.46	44	4	16	0	7	0
Team Total or Average			8	1	6	0.845	3.30	418	23	148	7	7	1

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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	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Alex Gudbranson	Connecticut Whale (NYR)	D	24	9/3/1994	No	205 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	0$	0$	No
Andrew Bodnarchuk	Connecticut Whale (NYR)	D	30	7/11/1988	No	196 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	0$	0$	No
Austen Brassard	Connecticut Whale (NYR)	RW	25	1/14/1993	No	207 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	0$	0$	No
Brett Lernout	Connecticut Whale (NYR)	D	23	9/24/1995	No	213 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	0$	0$	No
Christian Marti	Connecticut Whale (NYR)	D	25	3/29/1993	Yes	214 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	0$	0$	No
Colton Hargrove	Connecticut Whale (NYR)	LW	26	6/25/1992	Yes	216 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	0$	0$	No
Danny Hobbs	Connecticut Whale (NYR)	C/LW	29	6/21/1989	No	200 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	0$	0$	No
Derek DeBlois	Connecticut Whale (NYR)	RW	27	2/19/1991	No	187 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	0$	0$	No
Drew Shore	Connecticut Whale (NYR)	C	27	1/29/1991	No	205 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	0$	0$	No
Eriah Hayes	Connecticut Whale (NYR)	RW	30	7/7/1988	No	210 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	0$	0$	No
Jacob Deserres	Connecticut Whale (NYR)	G	28	3/18/1990	No	190 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	0$	0$	No
Jacob Doty	Connecticut Whale (NYR)	C/RW	25	6/19/1993	No	212 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	0$	0$	No
Jared Gomes	Connecticut Whale (NYR)	C	29	10/20/1988	No	185 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	0$	0$	No
Jonathan Parker	Connecticut Whale (NYR)	RW	27	9/25/1991	No	195 Lbs	5 ft10	No	No	No	4	RFA	Pro & Farm	0$	0$	No
Jordan Henry	Connecticut Whale (NYR)	D	32	2/11/1986	No	195 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	0$	0$	No
Josh Robinson	Connecticut Whale (NYR)	G	28	12/1/1989	No	190 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	0$	0$	No
Laurent Dauphin	Connecticut Whale (NYR)	C	23	3/27/1995	No	180 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	0$	0$	No
Luke Gazdic	Connecticut Whale (NYR)	LW	29	7/25/1989	No	225 Lbs	6 ft4	No	No	No	4	UFA	Pro & Farm	0$	0$	No
Malcolm Subban	Connecticut Whale (NYR)	G	24	12/21/1993	No	200 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	0$	0$	No
Matt Lindblad	Connecticut Whale (NYR)	LW	28	3/23/1990	No	193 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	0$	0$	No
Matt Mangene	Connecticut Whale (NYR)	LW/RW/D	29	3/12/1989	No	190 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	0$	0$	No
Matt Willows	Connecticut Whale (NYR)	RW	27	7/24/1991	No	185 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	0$	0$	No
Max McCormick	Connecticut Whale (NYR)	LW/RW	26	5/1/1992	No	188 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	0$	0$	No
Michael Sdao	Connecticut Whale (NYR)	D	29	7/3/1989	No	229 Lbs	6 ft4	No	No	No	4	UFA	Pro & Farm	0$	0$	No
Morgan Ellis	Connecticut Whale (NYR)	D	26	4/30/1992	No	211 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	0$	0$	No
Nick Ritchie	Connecticut Whale (NYR)	LW	22	12/5/1995	No	232 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	0$	0$	No	NHL Link
Nick Shore	Connecticut Whale (NYR)	C	26	9/26/1992	No	194 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	0$	0$	No	NHL Link
Niklas Backstrom	Connecticut Whale (NYR)	G	40	2/13/1978	No	192 Lbs	6 ft2	No	No	No	5	UFA	Pro & Farm	0$	0$	No
Patrick Cullity	Connecticut Whale (NYR)	D	31	1/26/1987	No	210 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	0$	0$	No
Patrick McGrath	Connecticut Whale (NYR)	RW	25	3/17/1993	Yes	200 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	0$	0$	No
Quinton Howden	Connecticut Whale (NYR)	C/LW	26	1/21/1992	No	189 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	0$	0$	No
Riley Barber	Connecticut Whale (NYR)	RW	24	2/7/1994	Yes	198 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	0$	0$	No
Rob Flick	Connecticut Whale (NYR)	C/LW	27	3/28/1991	No	208 Lbs	6 ft2	No	No	No	5	RFA	Pro & Farm	0$	0$	No
Robert Bortuzzo	Connecticut Whale (NYR)	D	29	3/18/1989	No	215 Lbs	6 ft4	No	No	No	3	UFA	Pro & Farm	0$	0$	No	NHL Link
Ryan Johnston	Connecticut Whale (NYR)	D	26	2/14/1992	No	180 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	0$	0$	No
Ryan Reaves	Connecticut Whale (NYR)	RW	31	1/20/1987	No	224 Lbs	6 ft1	No	No	No	4	UFA	Pro & Farm	0$	0$	No	NHL Link
Troy Grosenick	Connecticut Whale (NYR)	G	29	8/27/1989	No	185 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	0$	0$	No
Tyler Wotherspoon	Connecticut Whale (NYR)	D	25	3/12/1993	No	207 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
38	27.29	201 Lbs	6 ft1	2.82	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Quinton Howden	Drew Shore	Ryan Reaves	40	1	2	2
2	Nick Ritchie	Nick Shore	Max McCormick	30	1	2	2
3	Colton Hargrove	Laurent Dauphin	Riley Barber	20	1	2	2
4	Quinton Howden	Drew Shore	Eriah Hayes	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Bortuzzo	Morgan Ellis	40	1	2	2
2	Andrew Bodnarchuk	Tyler Wotherspoon	30	1	2	2
3	Ryan Johnston	Brett Lernout	20	1	2	2
4	Michael Sdao	Robert Bortuzzo	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Quinton Howden	Drew Shore	Ryan Reaves	60	1	2	2
2	Nick Ritchie	Nick Shore	Max McCormick	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Bortuzzo	Morgan Ellis	60	1	2	2
2	Andrew Bodnarchuk	Tyler Wotherspoon	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Drew Shore	Quinton Howden	60	1	2	2
2	Nick Shore	Ryan Reaves	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Bortuzzo	Morgan Ellis	60	1	2	2
2	Andrew Bodnarchuk	Tyler Wotherspoon	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Drew Shore	60	1	2	2	Robert Bortuzzo	Morgan Ellis	60	1	2	2
2	Quinton Howden	40	1	2	2	Andrew Bodnarchuk	Tyler Wotherspoon	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Drew Shore	Quinton Howden	60	1	2	2
2	Nick Shore	Ryan Reaves	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Robert Bortuzzo	Morgan Ellis	60	1	2	2
2	Andrew Bodnarchuk	Tyler Wotherspoon	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Quinton Howden	Drew Shore	Ryan Reaves	Robert Bortuzzo	Morgan Ellis

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Quinton Howden	Drew Shore	Ryan Reaves	Robert Bortuzzo	Morgan Ellis

Extra Forwards
Normal	PowerPlay	Penalty Kill
Riley Barber, Laurent Dauphin, Eriah Hayes	Riley Barber, Laurent Dauphin	Eriah Hayes

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ryan Johnston, Brett Lernout, Michael Sdao	Ryan Johnston	Brett Lernout, Michael Sdao

Penalty Shots
Drew Shore, Quinton Howden, Nick Shore, Ryan Reaves, Nick Ritchie

Goalie
#1 : Niklas Backstrom, #2 : Malcolm Subban

Custom OT Lines Forwards
Drew Shore, Quinton Howden, Nick Shore, Ryan Reaves, Nick Ritchie, Max McCormick, Max McCormick, Riley Barber, Laurent Dauphin, Eriah Hayes, Colton Hargrove

Custom OT Lines Defensemen
Robert Bortuzzo, Morgan Ellis, Andrew Bodnarchuk, Tyler Wotherspoon, Ryan Johnston

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	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	Adirondack Phantoms	2	0	2	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	4	3	3	0	34	47	39	40	0	46	11	39	35	11	0	0.00%	17	2	88.24%	0	84	181	46.41%	105	202	51.98%	45	107	42.06%	162	109	169	52	88	44
2	Albany Devils	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	9	14	0	0	4	3	3	0	46	47	39	40	0	51	11	21	41	7	2	28.57%	8	2	75.00%	0	84	181	46.41%	105	202	51.98%	45	107	42.06%	162	109	169	52	88	44
3	Bridgeport Sound Tigers	2	0	2	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	1	1	2	0	0	4	3	3	0	27	47	39	40	0	29	8	12	35	4	0	0.00%	6	0	100.00%	0	84	181	46.41%	105	202	51.98%	45	107	42.06%	162	109	169	52	88	44
4	Springfield Falcons	1	0	1	0	0	0	0	0	2	8	-6	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	2	4	6	0	0	4	3	3	0	19	47	39	40	0	22	3	10	15	5	1	20.00%	5	0	100.00%	0	84	181	46.41%	105	202	51.98%	45	107	42.06%	162	109	169	52	88	44
	Total	7	1	6	0	0	0	0	0	10	23	-13	3	1	2	0	0	0	0	0	5	4	1	4	0	4	0	0	0	0	0	5	19	-14	2	0.143	10	18	28	0	0	4	3	3	0	126	47	39	40	0	148	33	82	126	27	3	11.11%	36	4	88.89%	0	84	181	46.41%	105	202	51.98%	45	107	42.06%	162	109	169	52	88	44
	_Since Last GM Reset	7	1	6	0	0	0	0	0	10	23	-13	3	1	2	0	0	0	0	0	5	4	1	4	0	4	0	0	0	0	0	5	19	-14	2	0.143	10	18	28	0	0	4	3	3	0	126	47	39	40	0	148	33	82	126	27	3	11.11%	36	4	88.89%	0	84	181	46.41%	105	202	51.98%	45	107	42.06%	162	109	169	52	88	44
	_Vs Conference	7	1	6	0	0	0	0	0	10	23	-13	3	1	2	0	0	0	0	0	5	4	1	4	0	4	0	0	0	0	0	5	19	-14	2	0.143	10	18	28	0	0	4	3	3	0	126	47	39	40	0	148	33	82	126	27	3	11.11%	36	4	88.89%	0	84	181	46.41%	105	202	51.98%	45	107	42.06%	162	109	169	52	88	44

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
7	2	L3	10	18	28	126	148	33	82	126	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	1	6	0	0	0	0	10	23

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	5	4

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	4	0	0	0	0	5	19

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	6	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
27	3	11.11%	36	4	88.89%	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
47	39	40	0	4	3	3	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
84	181	46.41%	105	202	51.98%	45	107	42.06%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
162	109	169	52	88	44

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Day	Game	Visitor Team	Score	Home Team	Score	ST	Link
1 - 2017-05-13	1	Bridgeport Sound Tigers	2	Connecticut Whale	1	L	BoxScore
5 - 2017-05-17	24	Connecticut Whale	0	Bridgeport Sound Tigers	4	L	BoxScore
10 - 2017-05-22	41	Connecticut Whale	1	Albany Devils	3	L	BoxScore
12 - 2017-05-24	50	Albany Devils	1	Connecticut Whale	4	W	BoxScore
14 - 2017-05-26	59	Connecticut Whale	2	Springfield Falcons	8	L	BoxScore
15 - 2017-05-27	63	Connecticut Whale	2	Adirondack Phantoms	4	L	BoxScore
20 - 2017-06-01	85	Adirondack Phantoms	1	Connecticut Whale	0	L	BoxScore
25 - 2017-06-06	113	Springfield Falcons	-	Connecticut Whale	-

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
1	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	0$	0$	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$	5	0$	0$

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	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
1	44	15	23	0	1	1	2	2	79	90	-11	22	10	10	0	1	0	1	0	45	38	7	22	5	13	0	0	1	1	2	34	52	-18	30	79	133	212	1	5	30	26	20	3	726	234	241	241	21	752	230	498	729	130	14	10.77%	197	25	87.31%	1	589	1070	55.05%	608	1120	54.29%	335	606	55.28%	1055	717	1028	333	580	288
2	58	23	17	0	5	1	6	6	124	118	6	29	13	6	0	3	1	2	4	66	55	11	29	10	11	0	2	0	4	2	58	63	-5	46	124	201	325	3	7	36	36	41	13	1011	333	338	325	62	1061	304	649	979	188	32	17.02%	277	27	90.25%	5	797	1436	55.50%	818	1524	53.67%	442	826	53.51%	1374	926	1413	441	759	376
3	78	29	32	0	4	3	5	5	151	165	-14	39	19	12	0	2	2	2	2	77	71	6	39	10	20	0	2	1	3	3	74	94	-20	58	151	253	404	1	9	48	55	39	14	1318	460	419	422	47	1374	370	793	1313	275	24	8.73%	339	43	87.32%	3	1069	1949	54.85%	1089	2023	53.83%	590	1088	54.23%	1850	1255	1865	593	1026	508
4	8	1	6	0	1	0	0	0	12	24	-12	4	1	2	0	1	0	0	0	7	5	2	4	0	4	0	0	0	0	0	5	19	-14	2	12	22	34	0	0	4	3	4	1	140	49	39	51	1	160	37	94	136	31	4	12.90%	41	5	87.80%	0	97	207	46.86%	114	224	50.89%	55	120	45.83%	186	125	194	59	102	50
4	7	1	6	0	0	0	0	0	10	23	-13	3	1	2	0	0	0	0	0	5	4	1	4	0	4	0	0	0	0	0	5	19	-14	2	10	18	28	0	0	4	3	3	0	126	47	39	40	0	148	33	82	126	27	3	11.11%	36	4	88.89%	0	84	181	46.41%	105	202	51.98%	45	107	42.06%	162	109	169	52	88	44
Total Regular Season	195	69	84	0	11	5	13	13	376	420	-44	97	44	32	0	7	3	5	6	200	173	27	98	25	52	0	4	2	8	7	176	247	-71	138	376	627	1003	5	21	122	123	107	31	3321	1123	1076	1079	131	3495	974	2116	3283	651	77	11.83%	890	104	88.31%	9	2636	4843	54.43%	2734	5093	53.68%	1467	2747	53.40%	4629	3134	4672	1480	2557	1268
Playoff
2	11	5	6	0	0	0	0	0	27	26	1	5	2	3	0	0	0	0	0	14	12	2	6	3	3	0	0	0	0	0	13	14	-1	10	27	50	77	0	2	10	6	10	1	200	70	65	62	3	196	55	119	170	37	3	8.11%	53	9	83.02%	0	166	286	58.04%	189	303	62.38%	93	174	53.45%	269	181	254	83	149	76
Total Playoff	11	5	6	0	0	0	0	0	27	26	1	5	2	3	0	0	0	0	0	14	12	2	6	3	3	0	0	0	0	0	13	14	-1	10	27	50	77	0	2	10	6	10	1	200	70	65	62	3	196	55	119	170	37	3	8.11%	53	9	83.02%	0	166	286	58.04%	189	303	62.38%	93	174	53.45%	269	181	254	83	149	76