NorthEastern Junior Hockey League

Chicago Jr Warriors
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
History
Last Transactions
Injury / Suspension

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	Seth Nelson	0			X		100.00	79	13	83	79	69	82	42	74	88	91	64	89	50	95	35	85	51	72	0
2	Patrick Adams	0	X				100.00	98	99	47	61	68	77	71	61	53	79	82	78	50	87	93	77	81	71	0
3	Troy Altman	0	X				100.00	45	29	72	76	64	77	47	98	76	59	82	63	50	64	70	71	69	69	0
4	Nathan Cutillo (R)	0		X			100.00	85	36	63	70	58	75	93	86	57	55	91	49	50	90	46	79	79	69	0
5	Cory Wicks	0		X			100.00	43	22	88	80	71	77	56	56	87	80	78	56	50	78	87	67	76	68	0
6	Devin Fess	0			X		100.00	51	27	77	67	76	75	66	72	69	80	54	61	50	64	79	53	43	65	0
7	Nathaniel Matthews (R)	0		X			100.00	95	41	88	73	79	75	79	73	60	69	35	60	50	89	74	70	77	65	0
8	Jamie Aschenbrener	0	X				100.00	65	41	60	65	75	81	68	74	80	59	64	52	70	91	38	58	78	64	0
9	Austin Crawford (R)	0		X			100.00	51	44	74	68	72	75	87	72	80	75	77	25	50	69	29	76	81	63	0
10	Ross Devier	0	X				100.00	58	41	69	68	75	79	66	65	77	70	71	37	50	67	62	74	79	63	0
11	Eli Lambertson (R)	0			X		100.00	56	40	74	71	74	75	88	71	84	78	57	35	50	78	29	69	79	63	0
12	Sam Akana	0			X		100.00	30	32	95	67	70	71	86	59	92	44	71	40	50	99	97	68	80	61	0
13	Michael Fornell	0				X	100.00	55	33	94	54	71	77	85	80	43	47	42	79	50	80	89	77	61	68	0
14	Sheldon Mitchell	0				X	100.00	79	66	31	76	70	76	76	46	77	67	76	43	50	99	77	54	75	65	0
15	Michael Van Dixon (R)	0				X	100.00	63	49	76	70	76	75	67	53	38	51	44	76	50	70	75	67	42	65	0
16	Brian Winesett	0				X	100.00	43	27	73	64	76	78	83	75	67	58	51	66	70	77	54	48	79	64	0
17	Karl Dietzler	0				X	100.00	44	37	99	74	76	84	86	54	26	56	35	71	70	64	40	55	78	64	0
18	Dylan Brumitt	0				X	100.00	57	65	72	71	75	80	82	63	29	47	47	61	50	77	52	64	79	63	0
Scratches

	TEAM AVERAGE					100.00	61	41	74	70	72	77	74	68	66	65	62	58	53	80	63	67	72	66

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	Tommy R. Kemp (R)	100.00	76	88	87	70	77	78	94	74	87	75	50	65	55	72	83	77	0
2	Phil Viscia	100.00	68	80	67	68	71	89	79	83	88	74	50	89	28	70	81	75	0
Scratches

	TEAM AVERAGE	100.00	72	84	77	69	74	84	87	79	88	75	50	77	42	71	82	76

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

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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	FW	S1	S2	S3
1	Seth Nelson	Chicago Warriors	RW	6	4	9	13	0	0	0	8	8	22	4	18	18.18%	5	142	23.80	1	3	4	7	14	1	17	0	0	54.55%	44	11	4	1.82	0	0	2	0
2	Nathan Cutillo	Chicago Warriors	LW	6	7	5	12	3	4	0	16	7	45	16	20	15.56%	4	125	20.86	3	1	4	7	13	1	5	0	1	58.82%	17	3	4	1.92	0	2	0	1
3	Patrick Adams	Chicago Warriors	C	6	2	7	9	0	9	5	15	11	8	5	5	25.00%	4	116	19.48	0	3	3	0	12	0	12	1	0	44.30%	158	3	4	1.54	1	1	0	0
4	Michael Fornell	Chicago Warriors	D	6	1	5	6	-4	0	0	8	21	10	4	3	10.00%	6	173	28.83	0	0	0	2	15	0	18	0	0	0.00%	0	2	4	0.69	0	0	0	1
5	Austin Crawford	Chicago Warriors	LW	6	3	1	4	0	4	0	4	2	9	2	5	33.33%	0	57	9.55	0	0	0	0	0	0	6	0	0	66.67%	3	7	1	1.40	0	1	0	0
6	Jamie Aschenbrener	Chicago Warriors	C	6	2	2	4	-3	0	0	9	10	19	1	8	10.53%	3	97	16.32	0	0	0	0	9	1	4	0	0	60.78%	102	3	3	0.82	0	0	0	0
7	Ross Devier	Chicago Warriors	C	6	2	2	4	2	4	0	9	3	23	4	11	8.70%	3	72	12.04	0	0	0	0	0	0	6	0	0	65.22%	46	3	2	1.11	0	0	0	0
8	Cory Wicks	Chicago Warriors	LW	6	1	3	4	-6	2	0	3	11	19	10	8	5.26%	6	107	17.88	0	0	0	0	10	0	9	1	0	50.00%	4	6	1	0.75	0	0	0	0
9	Sheldon Mitchell	Chicago Warriors	D	6	0	3	3	-3	12	0	19	11	8	9	5	0.00%	6	165	27.63	0	0	0	0	15	0	11	0	0	0.00%	0	8	8	0.36	0	0	1	0
10	Michael Van Dixon	Chicago Warriors	D	6	0	3	3	2	2	0	3	7	4	1	4	0.00%	10	118	19.82	0	0	0	0	8	0	11	0	0	0.00%	0	1	4	0.50	0	0	0	0
11	Karl Dietzler	Chicago Warriors	D	6	0	2	2	3	0	0	2	15	2	0	1	0.00%	4	119	19.85	0	0	0	1	8	0	12	0	0	0.00%	0	0	0	0.34	0	0	0	0
12	Nathaniel Matthews	Chicago Warriors	LW	6	0	2	2	1	0	0	12	5	8	2	6	0.00%	5	79	13.32	0	0	0	0	1	0	0	0	0	66.67%	27	2	3	0.50	0	0	0	0
13	Eli Lambertson	Chicago Warriors	RW	6	2	0	2	-2	2	0	4	3	13	7	9	15.38%	0	84	14.16	0	0	0	1	8	0	0	0	0	83.33%	6	4	1	0.47	0	0	0	0
14	Dylan Brumitt	Chicago Warriors	D	3	1	0	1	-2	4	0	1	3	2	1	0	50.00%	3	38	12.84	0	0	0	0	0	0	1	0	0	0.00%	0	0	1	0.52	0	0	0	0
15	Sam Akana	Chicago Warriors	RW	6	1	0	1	3	0	0	1	0	4	2	1	25.00%	0	58	9.71	0	0	0	0	0	0	0	0	0	100.00%	1	1	0	0.34	0	0	0	0
16	Logan Barbara	Chicago Jr Warriors (Chi)	C	6	0	1	1	-3	0	0	2	4	7	3	5	0.00%	1	45	7.56	0	0	0	0	0	0	0	0	0	42.86%	21	0	0	0.44	0	0	0	0
17	Collin Murray	Chicago Jr Warriors (Chi)	D	5	0	0	0	-1	0	0	2	6	10	3	1	0.00%	8	62	12.55	0	0	0	0	0	0	5	0	0	0.00%	0	0	4	0.00	0	0	0	0
18	Ricky Gilbert	Chicago Jr Warriors (Chi)	D	1	0	0	0	0	0	0	1	0	0	0	0	0.00%	0	12	12.35	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0.00	0	0	0	0
19	Olivier Dathe	Chicago Jr Warriors (Chi)	RW	2	0	0	0	0	0	0	1	2	0	2	1	0.00%	1	18	9.01	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0.00	0	0	0	0
20	Cody Steckelberg	Chicago Jr Warriors (Chi)	D	2	0	0	0	0	0	0	0	1	4	3	1	0.00%	3	21	10.92	0	0	0	0	0	0	1	0	0	0.00%	0	0	1	0.00	0	0	0	0
21	Devin Fess	Chicago Warriors	RW	2	0	0	0	-2	0	0	1	2	7	3	7	0.00%	1	30	15.33	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0.00	0	0	0	0
22	Adam Petersson	Chicago Jr Warriors (Chi)	D	1	0	0	0	-1	0	0	2	0	0	0	0	0.00%	2	11	11.27	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0
23	Sami Korpela	Chicago Jr Warriors (Chi)	RW	2	0	0	0	-2	0	0	0	0	2	0	2	0.00%	0	10	5.45	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0
Team Total or Average				108	26	45	71	-15	43	5	123	132	226	82	121	11.50%	75	1771	16.40	4	7	11	18	121	3	125	2	1	54.42%	430	55	46	0.80	1	4	3	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	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Tommy R. Kemp	Chicago Warriors	6	2	4	0	0.885	4.50	360	0	0	27	235	103	0	0	0.000	0	6	0	0	0	0
Team Total or Average			6	2	4	0	0.885	4.50	360	0	0	27	235	103	0	0	0.000	0	6	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6
Austin Crawford	Chicago Warriors	LW	15	7/1/2001	Yes	173 Lbs	5 ft7	No	No	No	6	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Brian Winesett	Chicago Warriors	D	20	9/24/1996	No	201 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	50,000$	0$	0$	No
Cory Wicks	Chicago Warriors	LW	16	2/7/2001	No	157 Lbs	5 ft9	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Devin Fess	Chicago Warriors	RW	17	6/12/2000	No	202 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Dylan Brumitt	Chicago Warriors	D	16	9/30/2000	No	174 Lbs	5 ft11	No	No	No	5	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Eli Lambertson	Chicago Warriors	RW	15	2/20/2002	Yes	155 Lbs	5 ft7	No	No	No	6	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Jamie Aschenbrener	Chicago Warriors	C	20	4/21/1997	No	200 Lbs	6 ft1	No	No	No	1	ELC	Pro & Farm	50,000$	0$	0$	No
Karl Dietzler	Chicago Warriors	D	19	10/24/1997	No	188 Lbs	6 ft5	No	No	No	2	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$
Michael Fornell	Chicago Warriors	D	16	3/30/2001	No	158 Lbs	5 ft10	No	No	No	5	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Michael Van Dixon	Chicago Warriors	D	15	10/6/2001	Yes	165 Lbs	5 ft8	No	No	No	6	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Nathan Cutillo	Chicago Warriors	LW	16	10/28/2000	Yes	158 Lbs	5 ft7	No	No	No	6	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Nathaniel Matthews	Chicago Warriors	LW	15	4/12/2002	Yes	173 Lbs	5 ft7	No	No	No	6	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Patrick Adams	Chicago Warriors	C	17	12/26/1999	No	176 Lbs	6 ft2	No	No	No	5	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Phil Viscia	Chicago Warriors	G	17	12/28/1999	No	156 Lbs	5 ft10	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Ross Devier	Chicago Warriors	C	16	1/17/2001	No	194 Lbs	6 ft1	No	No	No	5	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Sam Akana	Chicago Warriors	RW	17	1/19/2000	No	197 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Seth Nelson	Chicago Warriors	RW	17	12/18/1999	No	165 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Sheldon Mitchell	Chicago Warriors	D	17	5/8/2000	No	165 Lbs	5 ft9	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Tommy R. Kemp	Chicago Warriors	G	15	3/2/2002	Yes	162 Lbs	5 ft7	No	No	No	6	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$	50,000$
Troy Altman	Chicago Warriors	C	17	7/31/1999	No	172 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	16.65	175 Lbs	5 ft11	4.35	50,000$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
1,000,000$	900,000$	850,000$	800,000$	500,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nathan Cutillo	Patrick Adams	Seth Nelson	40	1	2	2
2	Cory Wicks	Troy Altman	Devin Fess	30	1	2	2
3	Nathaniel Matthews	Jamie Aschenbrener	Eli Lambertson	20	1	2	2
4	Austin Crawford	Ross Devier	Sam Akana	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Fornell	Sheldon Mitchell	40	1	2	2
2	Michael Van Dixon	Karl Dietzler	30	1	2	2
3	Brian Winesett	Dylan Brumitt	20	1	2	2
4	Michael Fornell	Sheldon Mitchell	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nathan Cutillo	Patrick Adams	Seth Nelson	60	1	2	2
2	Cory Wicks	Troy Altman	Devin Fess	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Fornell	Sheldon Mitchell	60	1	2	2
2	Michael Van Dixon	Karl Dietzler	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Seth Nelson	Patrick Adams	60	1	2	2
2	Nathan Cutillo	Troy Altman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Fornell	Sheldon Mitchell	60	1	2	2
2	Michael Van Dixon	Karl Dietzler	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Seth Nelson	60	1	2	2	Michael Fornell	Sheldon Mitchell	60	1	2	2
2	Patrick Adams	40	1	2	2	Michael Van Dixon	Karl Dietzler	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Seth Nelson	Patrick Adams	60	1	2	2
2	Nathan Cutillo	Troy Altman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Fornell	Sheldon Mitchell	60	1	2	2
2	Michael Van Dixon	Karl Dietzler	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Nathan Cutillo	Patrick Adams	Seth Nelson	Michael Fornell	Sheldon Mitchell

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Nathan Cutillo	Patrick Adams	Seth Nelson	Michael Fornell	Sheldon Mitchell

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nathaniel Matthews, Jamie Aschenbrener, Austin Crawford	Nathaniel Matthews, Jamie Aschenbrener	Austin Crawford

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Brian Winesett, Dylan Brumitt, Michael Van Dixon	Brian Winesett	Dylan Brumitt, Michael Van Dixon

Penalty Shots
Seth Nelson, Patrick Adams, Nathan Cutillo, Troy Altman, Cory Wicks

Goalie
#1 : Tommy R. Kemp, #2 : Phil Viscia

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	Evansville Rivermen	4	0	4	0	0	0	0	0	13	20	-7	2	0	2	0	0	0	0	0	6	9	-3	2	0	2	0	0	0	0	0	7	11	-4	0	0.000	13	22	35	0	0	7	4	2	0	148	54	48	46	0	161	53	33	86	10	3	30.00%	14	2	85.71%	0	90	170	52.94%	88	163	53.99%	56	97	57.73%	83	48	88	35	68	33
	Total	6	2	4	0	0	0	0	0	26	27	-1	4	2	2	0	0	0	0	0	19	16	3	2	0	2	0	0	0	0	0	7	11	-4	4	0.333	26	45	71	0	0	11	9	6	0	226	69	83	74	0	235	75	43	123	16	4	25.00%	19	2	89.47%	0	90	170	52.94%	88	163	53.99%	56	97	57.73%	127	75	130	53	102	50
3	Trenton Capitals	2	2	0	0	0	0	0	0	13	7	6	2	2	0	0	0	0	0	0	13	7	6	0	0	0	0	0	0	0	0	0	0	0	4	1.000	13	23	36	0	0	4	5	4	0	78	15	35	28	0	74	22	10	37	6	1	16.67%	5	0	100.00%	0	90	170	52.94%	88	163	53.99%	56	97	57.73%	44	26	42	17	33	17
	_Since Last GM Reset	6	2	4	0	0	0	0	0	26	27	-1	4	2	2	0	0	0	0	0	19	16	3	2	0	2	0	0	0	0	0	7	11	-4	4	0.333	26	45	71	0	0	11	9	6	0	226	69	83	74	0	235	75	43	123	16	4	25.00%	19	2	89.47%	0	90	170	52.94%	88	163	53.99%	56	97	57.73%	127	75	130	53	102	50
	_Vs Conference	6	2	4	0	0	0	0	0	26	27	-1	4	2	2	0	0	0	0	0	19	16	3	2	0	2	0	0	0	0	0	7	11	-4	4	0.333	26	45	71	0	0	11	9	6	0	226	69	83	74	0	235	75	43	123	16	4	25.00%	19	2	89.47%	0	90	170	52.94%	88	163	53.99%	56	97	57.73%	127	75	130	53	102	50
	_Vs Division	4	0	4	0	0	0	0	0	13	20	-7	2	0	2	0	0	0	0	0	6	9	-3	2	0	2	0	0	0	0	0	7	11	-4	0	0.000	13	22	35	0	0	7	4	2	0	148	54	48	46	0	161	53	33	86	10	3	30.00%	14	2	85.71%	0	90	170	52.94%	88	163	53.99%	56	97	57.73%	83	48	88	35	68	33

			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	L1	26	45	71	226	235	75	43	123	0	0

All Games
GP	W	L	OTW	OTL	T	GF	GA
6	2	4	0	0	0	26	27

Home Games
GP	W	L	OTW	OTL	T	GF	GA
4	2	2	0	0	0	19	16

Visitor Games
GP	W	L	OTW	OTL	T	GF	GA
2	0	2	0	0	0	7	11

Last 10 Games
W	L	OTW	OTL	T
2	3	0	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
16	4	25.00%	19	2	89.47%	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
69	83	74	0	11	9	6	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
90	170	52.94%	88	163	53.99%	56	97	57.73%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
127	75	130	53	102	50

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	OT	Link
2 - 2018-11-19	13	Trenton Capitals	3	Chicago Warriors	6	W		BoxScore
4 - 2018-11-21	29	Trenton Capitals	4	Chicago Warriors	7	W		BoxScore
8 - 2018-11-25	56	Chicago Warriors	3	Evansville Rivermen	5	L		BoxScore
10 - 2018-11-27	64	Chicago Warriors	4	Evansville Rivermen	6	L		BoxScore
12 - 2018-11-29	72	Evansville Rivermen	5	Chicago Warriors	4	L	X	BoxScore
14 - 2018-12-01	80	Evansville Rivermen	4	Chicago Warriors	2	L		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
32	0 - 0.00%	0$	0$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	1,000,000$	1,000,000$	0$	0$

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

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

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	0$	0$

Depth Chart

Left Wing

Center

Right Wing

*Nathan Cutillo	AGE:16	PO:79	OV:69
Cory Wicks	AGE:16	PO:67	OV:68
*Nathaniel Matthews	AGE:15	PO:70	OV:65
*Austin Crawford	AGE:15	PO:76	OV:63
Adam Lukman	AGE:19	PO:70	OV:61
Perry Shelton	AGE:19	PO:59	OV:61
*Casey Boese	AGE:16	PO:51	OV:61

Patrick Adams	AGE:17	PO:77	OV:71
Troy Altman	AGE:17	PO:71	OV:69
Jamie Aschenbrener	AGE:20	PO:58	OV:64
Ross Devier	AGE:16	PO:74	OV:63
Logan Barbara	AGE:17	PO:70	OV:63
Grayson Clyburn	AGE:17	PO:61	OV:62
Peter Verni	AGE:18	PO:59	OV:58

Seth Nelson	AGE:17	PO:85	OV:72
Devin Fess	AGE:17	PO:53	OV:65
*Eli Lambertson	AGE:15	PO:69	OV:63
Sam Akana	AGE:17	PO:68	OV:61
*Sami Korpela	AGE:15	PO:68	OV:61
Olivier Dathe	AGE:19	PO:51	OV:61
Bradley Eckland	AGE:20	PO:47	OV:59

Defense #1

Defense #2

Goalie

Michael Fornell	AGE:16	PO:77	OV:68
*Michael Van Dixon	AGE:15	PO:67	OV:65
Sheldon Mitchell	AGE:17	PO:54	OV:65
Collin Murray	AGE:16	PO:64	OV:64
Karl Dietzler	AGE:19	PO:55	OV:64
Brian Winesett	AGE:20	PO:48	OV:64
Dylan Brumitt	AGE:16	PO:64	OV:63

*Adam Petersson	AGE:15	PO:61	OV:63
Ricky Gilbert	AGE:18	PO:58	OV:63
Grant Walsingham	AGE:17	PO:85	OV:62
Cody Steckelberg	AGE:18	PO:62	OV:62
Patrick Jepsen	AGE:18	PO:74	OV:61
Bo Engman	AGE:17	PO:71	OV:61

*Tommy R. Kemp	AGE:15	PO:72	OV:77
Phil Viscia	AGE:17	PO:70	OV:75
Kent Jackson	AGE:16	PO:72	OV:73
Rob Bridgham	AGE:17	PO:54	OV:73

Prospects

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

Prospect	Team Name	Draft Year	Overall Pick	Information	Lien

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7	R8	R9	R10
17	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
18	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
19	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
20	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
21	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi

[11/23/2018 5:53:19 PM] - Chicago Jr Warriors was eliminated at round 3 of year 16.
[11/23/2018 4:18:27 PM] - Chicago Warriors was eliminated at round 2 of year 16.
[9/15/2018 2:17:26 PM] - Tommy R. Kemp was added to Chicago Warriors.
[9/15/2018 2:17:26 PM] - Sami Korpela was added to Chicago Warriors.
[9/15/2018 2:17:26 PM] - Adam Lukman was added to Chicago Warriors.
[9/15/2018 2:17:26 PM] - Casey Boese was added to Chicago Warriors.
[9/15/2018 2:17:26 PM] - Eli Lambertson was added to Chicago Warriors.
[9/15/2018 2:17:26 PM] - Adam Petersson was added to Chicago Warriors.
[9/15/2018 2:17:26 PM] - Austin Crawford was added to Chicago Warriors.
[9/15/2018 2:17:26 PM] - Nathaniel Matthews was added to Chicago Warriors.
[9/15/2018 2:17:26 PM] - Michael Van Dixon was added to Chicago Warriors.
[9/15/2018 2:17:26 PM] - Nathan Cutillo was added to Chicago Warriors.
[9/15/2018 2:16:17 PM] - Tommy R. Kemp was added to Chicago Warriors.
[9/15/2018 2:16:17 PM] - Sami Korpela was added to Chicago Warriors.
[9/15/2018 2:16:17 PM] - Adam Lukman was added to Chicago Warriors.
[9/15/2018 2:16:17 PM] - Casey Boese was added to Chicago Warriors.
[9/15/2018 2:16:17 PM] - Eli Lambertson was added to Chicago Warriors.
[9/15/2018 2:16:17 PM] - Adam Petersson was added to Chicago Warriors.
[9/15/2018 2:16:17 PM] - Austin Crawford was added to Chicago Warriors.
[9/15/2018 2:16:17 PM] - Nathaniel Matthews was added to Chicago Warriors.
[9/15/2018 2:16:17 PM] - Michael Van Dixon was added to Chicago Warriors.
[9/15/2018 2:16:17 PM] - Nathan Cutillo was added to Chicago Warriors.

[11/23/2018 8:08:52 PM] Auto Lines Farm Function has been run for Chicago Jr Warriors.
[11/23/2018 8:08:52 PM] Auto Lines Function has been run for Chicago Warriors.
[11/23/2018 8:08:49 PM] Auto Roster Function has been run for Chicago Warriors.
[11/23/2018 8:08:49 PM] Collin Murray of Chicago Warriors was sent to farm.
[11/23/2018 8:08:49 PM] Dylan Brumitt of Chicago Warriors was sent to pro.
[11/23/2018 8:07:20 PM] Auto Lines Farm Function has been run for Chicago Jr Warriors.
[11/23/2018 8:07:20 PM] Auto Lines Function has been run for Chicago Warriors.
[11/23/2018 8:07:17 PM] Auto Roster Function has been run for Chicago Warriors.
[11/23/2018 8:07:17 PM] Dylan Brumitt of Chicago Warriors was sent to farm.
[11/23/2018 8:07:17 PM] Collin Murray of Chicago Warriors was sent to pro.
[11/23/2018 8:06:23 PM] Auto Lines Farm Function has been run for Chicago Jr Warriors.
[11/23/2018 8:06:23 PM] Auto Lines Function has been run for Chicago Warriors.
[11/23/2018 8:06:20 PM] Auto Roster Function has been run for Chicago Warriors.
[11/23/2018 8:06:20 PM] Collin Murray of Chicago Warriors was sent to farm.
[11/23/2018 8:06:20 PM] Dylan Brumitt of Chicago Warriors was sent to pro.
[11/23/2018 8:03:59 PM] Auto Lines Farm Function has been run for Chicago Jr Warriors.
[11/23/2018 8:03:59 PM] Auto Lines Function has been run for Chicago Warriors.
[11/23/2018 8:03:56 PM] Auto Roster Function has been run for Chicago Warriors.
[11/23/2018 8:03:56 PM] Dylan Brumitt of Chicago Warriors was sent to farm.
[11/23/2018 8:03:56 PM] Collin Murray of Chicago Warriors was sent to pro.
[11/23/2018 6:39:36 PM] Auto Lines Farm Function has been run for Chicago Jr Warriors.
[11/23/2018 6:39:36 PM] Auto Lines Function has been run for Chicago Warriors.

No Injury or Suspension.

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
16	6	2	4	0	0	0	0	0	26	27	-1	4	2	2	0	0	0	0	0	19	16	3	2	0	2	0	0	0	0	0	7	11	-4	4	26	45	71	0	0	11	9	6	0	226	69	83	74	0	235	75	43	123	16	4	25.00%	19	2	89.47%	0	90	170	52.94%	88	163	53.99%	56	97	57.73%	127	75	130	53	102	50
Total Playoff	6	2	4	0	0	0	0	0	26	27	-1	4	2	2	0	0	0	0	0	19	16	3	2	0	2	0	0	0	0	0	7	11	-4	4	26	45	71	0	0	11	9	6	0	226	69	83	74	0	235	75	43	123	16	4	25.00%	19	2	89.47%	0	90	170	52.94%	88	163	53.99%	56	97	57.73%	127	75	130	53	102	50

Year	R1	R2	R3	R4	R5	R6	R7	R8	R9	R10
17	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
18	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
19	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
20	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
21	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi

Year	R1	R2	R3	R4	R5	R6	R7	R8	R9	R10
17	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
18	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
19	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
20	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
21	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi

Year	R1	R2	R3	R4	R5	R6	R7	R8	R9	R10
17	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
18	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
19	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
20	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi
21	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi	Chi