DWSHL - Ann Arbor Icecats

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	Andrew Joudrey	0	X				100.00	45	35	79	71	62	47	61	51	45	45	46	55	47	68	63	39	41	0	0
2	Carson McMillan (R)	0	X		X		100.00	56	40	70	68	72	48	54	57	33	52	46	63	50	60	59	71	41	0	0
3	Jared Boll	0			X		100.00	75	94	57	65	79	52	59	55	32	48	47	52	51	64	61	55	41	0	0
4	Toby Petersen	0	X				100.00	55	36	81	70	65	53	47	57	44	50	47	59	56	80	72	5	41	0	0
5	Chris McKelvie	0		X			100.00	45	35	76	66	72	52	45	48	30	43	42	52	50	66	59	47	41	0	0
6	David Meckler	0		X	X		100.00	46	35	80	69	68	48	46	52	31	47	47	56	50	62	61	63	41	0	0
7	Jacob Lagace (R)	0		X	X		100.00	47	35	76	75	67	47	47	53	30	48	46	56	50	56	60	87	41	0	0
8	Jerry D'Amigo (R)	0		X	X		100.00	48	35	76	76	70	49	60	57	30	53	47	57	52	54	56	95	41	0	0
9	Jordan Szwarz (R)	0			X		100.00	48	35	77	70	66	46	44	55	30	50	45	59	48	54	46	95	41	0	0
10	Justin Dowling (R)	0	X				100.00	45	35	80	73	63	45	40	48	34	43	40	51	45	56	62	87	41	0	0
11	Kevin Henderson	0		X			100.00	47	35	73	70	80	52	45	50	30	47	42	58	48	64	60	55	41	0	0
12	Kyle MacKinnon (R)	0	X				100.00	46	35	79	76	64	47	50	54	43	47	49	56	51	62	63	63	41	0	0
13	Yannick Tifu	0	X				100.00	46	38	86	56	64	55	45	46	37	45	42	50	43	68	58	39	41	0	0
14	Jay Harrison	0				X	100.00	71	51	71	68	82	71	76	58	30	53	60	75	58	72	67	23	41	0	0
15	Patrick Wey (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	41	0	0
16	Mark Adams (R)	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	41	0	0
17	Gleason Fournier (R)	0				X	100.00	52	35	71	69	68	45	40	46	30	41	40	55	49	54	61	95	41	0	0
18	Patrick Mullen	0				X	100.00	48	35	74	77	62	50	57	55	30	49	52	61	56	64	60	55	41	0	0
19	Ryan Button (R)	0				X	100.00	49	35	77	67	67	45	40	45	30	40	40	55	47	54	61	95	41	0	0
20	Taylor Doherty (R)	0				X	100.00	56	42	65	60	94	50	48	47	30	42	40	60	47	54	61	95	41	0	0
Scratches

	TEAM AVERAGE					100.00	51	41	72	67	68	50	50	52	35	47	46	57	50	61	60	63	41	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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Brad Thiessen (R)	100.00	45	61	64	65	62	59	55	54	54	60	50	64	59	55	41	0	0
2	Mike Murphy (R)	100.00	57	59	64	61	67	65	60	63	63	71	53	58	60	79	41	0	0
3	Mike Lee (R)	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	41	0	0
Scratches

	TEAM AVERAGE	100.00	51	57	59	59	60	58	55	56	56	60	51	57	56	61	41	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Lane Lambert	63	67	63	61	72	70	50	CAN	47	2	400,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	S1	S2	S3
1	Jay Harrison	Ann Arbor Icecats (JAX)	D	4	8	5	13	11	6	6	12	18	6	6	44.44%	10	103	25.89	0	2	2	1	7	1	0	1	2	9	0	0	0.00%	0	9	5	2	2.51	1	1	0
2	Kyle MacKinnon	Ann Arbor Icecats (JAX)	C	4	3	3	6	3	0	3	4	7	9	6	42.86%	2	63	15.86	0	0	0	1	5	0	0	0	0	0	0	0	45.00%	40	19	5	0	1.89	0	1	0
3	Patrick Mullen	Ann Arbor Icecats (JAX)	D	4	2	4	6	8	0	3	4	4	1	1	50.00%	5	91	22.83	0	0	0	0	7	0	0	0	0	14	0	0	0.00%	0	9	9	0	1.31	0	1	0
4	David Meckler	Ann Arbor Icecats (JAX)	LW/RW	4	3	2	5	3	0	4	2	11	3	11	27.27%	1	63	15.86	0	0	0	1	5	0	0	0	0	0	0	0	0.00%	0	13	0	0	1.58	0	0	0
5	Jacob Lagace	Ann Arbor Icecats (JAX)	LW/RW	4	1	4	5	5	0	5	4	9	4	8	11.11%	0	48	12.15	0	0	0	0	0	0	0	0	0	0	1	0	0.00%	1	12	0	0	2.06	1	0	0
6	Andrew Joudrey	Ann Arbor Icecats (JAX)	C	4	2	2	4	5	2	3	3	4	1	4	50.00%	1	54	13.55	0	0	0	0	0	0	0	0	0	3	0	0	44.44%	27	3	1	0	1.48	0	1	0
7	Toby Petersen	Ann Arbor Icecats (JAX)	C	4	1	3	4	4	0	4	5	8	3	6	12.50%	3	80	20.23	1	1	2	1	6	0	1	1	1	16	0	0	46.91%	81	4	6	0	0.99	0	0	0
8	Mark Adams	Ann Arbor Icecats (JAX)	D	4	1	2	3	3	6	2	2	3	1	3	33.33%	1	58	14.60	0	0	0	0	0	0	0	0	0	5	0	1	0.00%	0	9	1	0	1.03	0	0	0
9	Jerry D'Amigo	Ann Arbor Icecats (JAX)	LW/RW	4	1	2	3	2	0	5	2	5	2	4	20.00%	0	70	17.72	1	1	2	1	7	0	0	0	0	4	0	0	33.33%	3	8	2	0	0.85	0	0	1
10	Kevin Henderson	Ann Arbor Icecats (JAX)	LW	4	0	3	3	5	0	7	2	2	0	2	0.00%	0	48	12.15	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	2	1	0	1.23	0	0	1
11	Jared Boll	Ann Arbor Icecats (JAX)	RW	4	0	2	2	2	6	12	3	1	1	3	0.00%	0	68	17.01	0	0	0	0	5	0	0	0	0	2	0	0	33.33%	3	3	0	0	0.59	0	0	0
12	Chris McKelvie	Ann Arbor Icecats (JAX)	LW	4	1	1	2	0	0	2	0	3	0	3	33.33%	1	40	10.10	0	0	0	0	0	0	0	0	0	1	0	0	100.00%	1	3	1	0	0.99	0	0	0
13	Gleason Fournier	Ann Arbor Icecats (JAX)	D	4	0	2	2	-4	4	4	12	0	0	1	0.00%	4	78	19.63	0	0	0	0	4	0	0	0	0	7	0	0	0.00%	0	0	9	0	0.51	0	0	0
14	Justin Dowling	Ann Arbor Icecats (JAX)	C	4	1	1	2	0	0	2	4	1	0	1	100.00%	1	38	9.57	0	0	0	0	0	0	0	0	0	0	1	0	71.43%	14	1	2	0	1.05	0	0	0
15	Patrick Wey	Ann Arbor Icecats (JAX)	D	4	0	1	1	3	2	1	2	0	0	1	0.00%	0	19	4.76	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	3	0	0	1.05	0	0	0
16	Jordan Szwarz	Ann Arbor Icecats (JAX)	RW	4	0	1	1	0	0	3	2	4	0	2	0.00%	0	37	9.35	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	2	7	0	0	0.53	0	0	0
17	Ryan Button	Ann Arbor Icecats (JAX)	D	4	1	0	1	4	0	3	4	5	1	0	20.00%	1	50	12.74	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	2	0	0.39	0	0	0
18	Taylor Doherty	Ann Arbor Icecats (JAX)	D	4	0	1	1	-4	2	7	7	4	2	2	0.00%	7	79	19.79	0	0	0	0	4	0	0	0	0	7	0	0	0.00%	0	0	3	0	0.25	0	0	0
19	Carson McMillan	Ann Arbor Icecats (JAX)	C/RW	4	0	0	0	4	2	1	2	3	0	1	0.00%	6	79	19.97	0	0	0	0	7	0	0	0	0	15	0	0	33.33%	3	5	4	0	0.00	0	0	0
20	Yannick Tifu	Ann Arbor Icecats (JAX)	C	4	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.26	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0
Team Total or Average				80	25	39	64	54	30	77	76	92	34	65	27.17%	43	1176	14.70	2	4	6	5	64	1	1	2	3	91	2	1	47.16%	176	111	51	2	1.09	2	4	2

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	PCT	GAA	MP	GA	SA	SAR	EG	ST	BG
1	Mike Murphy	Ann Arbor Icecats (JAX)	4	2	1	0.849	3.63	215	13	86	50	1	4	0
2	Brad Thiessen	Ann Arbor Icecats (JAX)	1	0	1	0.500	7.83	23	3	6	2	0	0	4
Team Total or Average			5	2	2	0.826	4.02	239	16	92	52	1	4	4

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Andrew Joudrey	Ann Arbor Icecats (JAX)	C	26	7/15/1986	No	185 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	587,500$	587,500$	587,500$	587,500$	0$	0$	No	587,500$		Link
Brad Thiessen	Ann Arbor Icecats (JAX)	G	25	3/19/1988	Yes	180 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	525,000$	525,000$	525,000$	525,000$	0$	0$	No			Link
Carson McMillan	Ann Arbor Icecats (JAX)	C/RW	22	9/10/1990	Yes	200 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	555,000$	555,000$	555,000$	555,000$	0$	0$	No			Link
Chris McKelvie	Ann Arbor Icecats (JAX)	LW	26	2/22/1987	No	195 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	400,000$	400,000$	400,000$	400,000$	0$	0$	No	400,000$
David Meckler	Ann Arbor Icecats (JAX)	LW/RW	23	7/9/1989	No	204 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	577,500$	577,500$	577,500$	577,500$	0$	0$	No			Link
Gleason Fournier	Ann Arbor Icecats (JAX)	D	19	9/8/1993	Yes	191 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	878,333$	878,333$	878,333$	878,333$	0$	0$	No	878,333$	878,333$	Link
Jacob Lagace	Ann Arbor Icecats (JAX)	LW/RW	21	1/9/1992	Yes	199 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	558,333$	558,333$	558,333$	558,333$	0$	0$	No	558,333$		Link
Jared Boll	Ann Arbor Icecats (JAX)	RW	25	5/13/1988	No	219 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	587,000$	587,000$	725,000$	725,000$	0$	0$	No	587,000$	587,000$	Link
Jay Harrison	Ann Arbor Icecats (JAX)	D	28	11/3/1984	No	211 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	700,000$	700,000$	700,000$	700,000$	0$	0$	No	700,000$		Link
Jerry D'Amigo	Ann Arbor Icecats (JAX)	LW/RW	20	2/19/1993	Yes	213 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	1,082,500$	1,082,500$	1,082,500$	1,082,500$	0$	0$	No	1,082,500$	1,082,500$	Link
Jordan Szwarz	Ann Arbor Icecats (JAX)	RW	20	5/14/1993	Yes	195 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	673,353$	673,353$	673,353$	673,353$	0$	0$	No	673,353$	673,353$	Link
Justin Dowling	Ann Arbor Icecats (JAX)	C	20	10/1/1992	Yes	190 Lbs	5 ft10	No	No	No	2	ELC	Pro & Farm	400,000$	400,000$			0$	0$	No	400,000$		Link
Kevin Henderson	Ann Arbor Icecats (JAX)	LW	24	12/3/1988	No	210 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	400,000$	400,000$	400,000$	400,000$	0$	0$	No	400,000$		Link
Kyle MacKinnon	Ann Arbor Icecats (JAX)	C	23	10/28/1989	Yes	185 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	400,000$	400,000$	400,000$	400,000$	0$	0$	No	400,000$
Mark Adams	Ann Arbor Icecats (JAX)	D	22	5/23/1991 6:47:13 PM	Yes	210 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	400,000$	400,000$	400,000$	400,000$	0$	0$	No	400,000$
Mike Lee	Ann Arbor Icecats (JAX)	G	22	10/5/1990 9:42:40 AM	Yes	190 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	400,000$	400,000$	400,000$	400,000$	0$	0$	No	400,000$
Mike Murphy	Ann Arbor Icecats (JAX)	G	22	1/15/1991	Yes	172 Lbs	5 ft11	No	No	No	1	ELC	Pro & Farm	783,333$	783,333$	783,333$	783,333$	0$	0$	No			Link
Patrick Mullen	Ann Arbor Icecats (JAX)	D	25	5/6/1988	No	184 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	632,500$	632,500$	632,500$	632,500$	0$	0$	No			Link
Patrick Wey	Ann Arbor Icecats (JAX)	D	22	3/21/1991 6:37:40 PM	Yes	200 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	400,000$	400,000$	400,000$	400,000$	0$	0$	No	400,000$
Ryan Button	Ann Arbor Icecats (JAX)	D	20	3/26/1993	Yes	185 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	636,667$	636,667$	636,667$	636,667$	0$	0$	No	636,667$	636,667$	Link
Taylor Doherty	Ann Arbor Icecats (JAX)	D	20	3/2/1993	Yes	230 Lbs	6 ft7	No	No	No	3	ELC	Pro & Farm	840,000$	840,000$	840,000$	840,000$	0$	0$	No	840,000$	840,000$	Link
Toby Petersen	Ann Arbor Icecats (JAX)	C	32	10/27/1980	No	198 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	775,000$	775,000$	775,000$	775,000$	0$	0$	No			Link
Yannick Tifu	Ann Arbor Icecats (JAX)	C	26	10/12/1986	No	193 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	400,000$	400,000$	400,000$	400,000$	0$	0$	No	400,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	23.17	197 Lbs	6 ft0	2.00	590,957$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jerry D'Amigo	Toby Petersen	Carson McMillan	40	1	2	2
2	David Meckler	Kyle MacKinnon	Jared Boll	30	1	2	2
3	Kevin Henderson	Andrew Joudrey	Jacob Lagace	20	1	2	2
4	Chris McKelvie	Justin Dowling	Jordan Szwarz	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jay Harrison	Patrick Mullen	40	1	2	2
2	Taylor Doherty	Gleason Fournier	30	1	2	2
3	Ryan Button	Mark Adams	20	1	2	2
4	Patrick Wey	Jay Harrison	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jerry D'Amigo	Toby Petersen	Carson McMillan	60	1	2	2
2	David Meckler	Kyle MacKinnon	Jared Boll	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jay Harrison	Patrick Mullen	60	1	2	2
2	Taylor Doherty	Gleason Fournier	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Toby Petersen	Carson McMillan	60	1	2	2
2	Jerry D'Amigo	Jared Boll	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jay Harrison	Patrick Mullen	60	1	2	2
2	Taylor Doherty	Gleason Fournier	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Toby Petersen	60	1	2	2	Jay Harrison	Patrick Mullen	60	1	2	2
2	Carson McMillan	40	1	2	2	Taylor Doherty	Gleason Fournier	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Toby Petersen	Carson McMillan	60	1	2	2
2	Jerry D'Amigo	Jared Boll	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jay Harrison	Patrick Mullen	60	1	2	2
2	Taylor Doherty	Gleason Fournier	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jerry D'Amigo	Toby Petersen	Carson McMillan	Jay Harrison	Patrick Mullen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jerry D'Amigo	Toby Petersen	Carson McMillan	Jay Harrison	Patrick Mullen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Yannick Tifu, Kevin Henderson, Andrew Joudrey	Yannick Tifu, Kevin Henderson	Andrew Joudrey

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ryan Button, Mark Adams, Patrick Wey	Ryan Button	Mark Adams, Patrick Wey

Penalty Shots
Toby Petersen, Carson McMillan, Jerry D'Amigo, Jared Boll, Kyle MacKinnon

Goalie
#1 : Mike Murphy, #2 : Brad Thiessen, #3 : Mike Lee

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Great Lakes Mechanics	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	3	3	2	1.000	6	9	15	0	0	5	5	15	0	22	23	33	36	0	23	9	10	21	2	0	0.00%	5	1	80.00%	0	20	48	41.67%	24	56	42.86%	39	72	54.17%	82	51	90	33	66	33
2	Helsinki Eagles	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	3	6	1	0	5	5	15	0	15	23	33	36	0	27	13	8	18	1	0	0.00%	4	1	75.00%	1	20	48	41.67%	24	56	42.86%	39	72	54.17%	82	51	90	33	66	33
3	Philadelphia Freedom	1	1	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	11	2	9	0	0	0	0	0	0	0	0	0	0	0	2	1.000	11	18	29	0	0	5	5	15	0	31	23	33	36	0	18	9	0	19	5	2	40.00%	0	0	0.00%	0	20	48	41.67%	24	56	42.86%	39	72	54.17%	82	51	90	33	66	33
4	Tampa Scarecrows	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	5	7	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	5	9	14	0	0	5	5	15	0	24	23	33	36	0	25	12	12	19	1	0	0.00%	6	3	50.00%	0	20	48	41.67%	24	56	42.86%	39	72	54.17%	82	51	90	33	66	33
	Total	4	2	2	0	0	0	0	0	25	17	8	3	1	2	0	0	0	0	0	19	14	5	1	1	0	0	0	0	0	0	6	3	3	4	0.500	25	39	64	1	0	5	5	15	0	92	23	33	36	0	93	43	30	77	9	2	22.22%	15	5	66.67%	1	20	48	41.67%	24	56	42.86%	39	72	54.17%	82	51	90	33	66	33
	_Since Last GM Reset	4	2	2	0	0	0	0	0	25	17	8	3	1	2	0	0	0	0	0	19	14	5	1	1	0	0	0	0	0	0	6	3	3	4	0.500	25	39	64	1	0	5	5	15	0	92	23	33	36	0	93	43	30	77	9	2	22.22%	15	5	66.67%	1	20	48	41.67%	24	56	42.86%	39	72	54.17%	82	51	90	33	66	33
	_Vs Conference	4	2	2	0	0	0	0	0	25	17	8	3	1	2	0	0	0	0	0	19	14	5	1	1	0	0	0	0	0	0	6	3	3	4	0.500	25	39	64	1	0	5	5	15	0	92	23	33	36	0	93	43	30	77	9	2	22.22%	15	5	66.67%	1	20	48	41.67%	24	56	42.86%	39	72	54.17%	82	51	90	33	66	33
	_Vs Division	1	2	2	0	0	0	0	0	6	3	3	0	1	2	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	3	3	4	2.000	6	9	15	0	0	5	5	15	0	22	23	33	36	0	23	9	10	21	2	0	0.00%	5	1	80.00%	0	20	48	41.67%	24	56	42.86%	39	72	54.17%	82	51	90	33	66	33

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	4	L1	25	39	64	92	93	43	30	77	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	25	17

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	19	14

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	1	0	0	0	0	0	6	3

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	2	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
9	2	22.22%	15	5	66.67%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
23	33	36	0	5	5	15	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
20	48	41.67%	24	56	42.86%	39	72	54.17%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
82	51	90	33	66	33

Last Played Games

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 - 2018-05-16	15	Helsinki Eagles	5	Ann Arbor Icecats	3	L	BoxScore
3 - 2018-05-17	31	Ann Arbor Icecats	6	Great Lakes Mechanics	3	W	BoxScore
5 - 2018-05-19	45	Philadelphia Freedom	2	Ann Arbor Icecats	11	W	BoxScore
7 - 2018-05-21	62	Tampa Scarecrows	7	Ann Arbor Icecats	5	L	BoxScore

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
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,359,201$	1,333,001$	0$

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

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

Show or Hide Column

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

Today Games	Pro Standing	Pro Team Roster	Pro Team Scoring	Pro Team PlayersInfo	Pro Team Lines	Pro Team Schedule
Team Finance	Team Prospects	Team History	Team Injury Suspension	Pro Team Stats	Pro Team Stats VS	Coaches
Waivers	Today Transactions	Transactions	Schedule	Pro Leaders	Pro Individual Leaders	Unassigned
Farm Standing	Farm Team Roster	Farm Team Scoring	Farm Team PlayersInfo	Farm Team Lines	Farm Team Schedule	Farm Team Stats
Farm Team StatsVS	Farm Leaders	Farm Individual Leaders	Teams And GM Info	Pro Power Ranking	Farm Power Ranking	Free Agents
Rerate Difference	Pro All Players Stats	Farm All Players Stats	Trade History