Great Plains Hockey League

Penguins
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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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#	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	Zach Aston-Reese (R)		X			100.00	99	47	95	77	74	59	70	63	31	61	72	78	25	45	45	74	50	64	0
2	Nathan Gerbe (A)		X	X		100.00	72	69	79	73	69	52	50	66	80	67	56	70	53	68	69	63	50	62	0
3	Lee Stempniak (C)			X		100.00	76	43	96	76	70	63	77	59	32	63	58	58	67	83	85	63	50	62	0
4	Travis Morin	X	X	X		100.00	75	71	85	64	71	84	90	63	79	71	50	65	48	45	45	62	50	62	0
5	Casey Bailey			X		100.00	79	74	89	69	74	81	87	60	50	57	58	66	55	44	44	64	50	61	0
6	Travis Boyd	X		X		100.00	70	66	78	63	66	84	89	65	80	65	61	62	58	44	44	65	50	61	0
7	Matthew Highmore (R)		X	X		100.00	69	42	99	70	66	62	86	62	31	50	68	71	25	45	45	67	50	60	0
8	Zack MacEwen (R)	X		X		100.00	77	77	76	66	77	77	82	59	74	58	56	64	53	44	44	62	50	60	0
9	Christian Thomas	X	X	X		100.00	70	62	90	67	62	71	73	63	50	57	65	62	62	45	45	65	50	59	0
10	Max McCormick		X			100.00	84	99	67	69	70	52	92	55	40	57	59	63	25	50	50	63	50	59	0
11	Patrick Brown	X		X		100.00	76	77	74	72	77	81	88	54	68	55	48	63	46	46	46	59	50	59	0
12	Zach Redmond				X	100.00	77	76	80	73	76	69	71	62	25	53	54	69	51	59	59	62	50	64	0
13	Oscar Fantenberg (R)				X	100.00	81	67	87	76	74	64	60	71	25	61	49	61	25	46	46	61	50	61	0
14	Filip Hronek (R)				X	100.00	69	64	81	72	64	78	84	56	25	49	48	60	46	44	44	58	50	59	0
15	Kyle Capobianco (R)				X	100.00	71	66	82	64	66	71	75	55	25	56	40	60	38	44	44	55	50	58	0
16	Kevin Ekman-Larsson (R)				X	100.00	69	65	77	67	65	61	62	59	25	47	57	60	54	44	44	60	50	57	0
17	Clayton Stoner				X	100.00	90	46	47	68	68	32	30	50	25	48	45	75	37	44	44	53	50	56	0
Scratches
1	Jordan Caron		X	X		100.00	76	76	76	66	76	73	78	56	50	58	46	67	44	60	61	58	50	59	0
2	Chris Conner			X		100.00	70	62	89	65	62	69	71	61	50	56	61	61	58	44	44	63	50	58	0
3	Giovanni Fiore (R)		X	X		100.00	75	71	85	63	71	74	79	57	50	49	61	63	58	44	44	62	50	58	0
4	Lane Pederson (R)	X				100.00	76	70	90	66	70	73	78	56	70	50	58	63	55	44	44	61	50	58	0
5	Tim McGauley	X				100.00	76	68	94	65	68	51	52	50	63	51	44	62	42	44	44	54	50	53	0
6	Anthony Beauregard	X				100.00	66	57	86	65	57	50	51	47	59	45	44	56	42	44	44	51	50	50	0
7	Vili Saarijarvi (R)				X	100.00	70	60	93	64	60	56	58	50	25	45	39	59	37	44	44	52	50	54	0

	TEAM AVERAGE					100.00	76	66	83	68	69	66	72	58	47	55	54	64	46	49	49	61	50	59

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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	Joe Cannata	100.00	63	50	63	75	65	70	72	73	77	76	30	44	44	68	50	65	0
2	Kasimir Kaskisuo	98.00	60	51	64	80	63	63	62	67	66	65	30	44	44	62	50	61	0
Scratches
1	Vitek Vanecek	100.00	50	64	80	68	46	54	50	56	51	51	30	44	44	53	50	53	0

	TEAM AVERAGE	99.33	58	55	69	74	58	62	61	65	65	64	30	44	44	61	50	60

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	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	FW	FL	FT	S1	S2	S3
1	Travis Morin	Penguins (Pit)	C/LW/RW	23	17	25	42	14	53	35	33	35	80	18	41	21.25%	18	472	20.56	2	7	9	3	31	0	0	0	2	36	3	0	58.43%	178	13	12	1	0	1.78	3	2	2	0	3	1
2	Nathan Gerbe	Penguins (Pit)	LW/RW	23	21	20	41	9	39	25	37	21	88	22	53	23.86%	17	434	18.91	7	11	18	11	31	1	0	1	1	19	3	1	67.74%	31	17	7	0	0	1.89	1	3	1	5	0	3
3	Travis Boyd	Penguins (Pit)	C/RW	23	16	24	40	16	19	15	38	37	63	17	34	25.40%	10	389	16.92	6	3	9	6	26	0	0	0	0	0	2	0	63.02%	265	11	12	0	0	2.06	0	1	2	1	3	3
4	Melker Karlsson	Penguins	C/LW/RW	17	15	21	36	7	11	5	38	43	75	22	50	20.00%	12	414	24.37	6	7	13	10	27	0	0	0	0	31	3	2	54.19%	585	19	20	0	1	1.74	0	1	0	3	3	1
5	Lee Stempniak	Penguins (Pit)	RW	23	9	24	33	11	5	5	49	27	81	22	36	11.11%	20	424	18.44	2	5	7	6	26	1	0	1	2	19	0	0	42.11%	19	28	10	0	0	1.56	0	0	1	1	1	1
6	Oscar Fantenberg	Penguins (Pit)	D	23	6	20	26	3	41	25	42	40	66	14	24	9.09%	42	599	26.08	5	4	9	12	35	0	0	0	2	39	0	0	0.00%	0	8	16	0	0	0.87	3	2	0	0	2	1
7	Matthew Highmore	Penguins (Pit)	LW/RW	23	12	14	26	12	0	0	28	36	47	23	31	25.53%	15	392	17.07	0	7	7	1	22	0	0	0	0	5	3	0	48.39%	31	14	14	0	1	1.32	0	0	0	2	1	0
8	Christian Thomas	Penguins (Pit)	C/LW/RW	23	8	9	17	1	5	5	28	23	58	20	44	13.79%	8	324	14.12	0	0	0	0	0	0	1	1	0	3	0	1	62.50%	8	12	6	0	0	1.05	0	0	1	0	1	0
9	Zack MacEwen	Penguins (Pit)	C/RW	23	9	8	17	1	26	10	39	22	55	10	28	16.36%	4	350	15.26	0	0	0	0	3	0	0	0	0	3	1	1	54.24%	118	5	9	0	0	0.97	1	0	1	0	1	1
10	Zach Redmond	Penguins (Pit)	D	23	4	12	16	2	26	10	27	32	47	18	13	8.51%	46	611	26.58	2	3	5	4	38	0	0	0	0	35	0	0	0.00%	0	12	20	0	0	0.52	1	0	1	0	1	0
11	Casey Bailey	Penguins (Pit)	RW	23	5	9	14	3	0	0	53	33	53	15	38	9.43%	13	371	16.15	1	2	3	2	10	0	0	0	0	0	1	0	63.16%	19	12	9	0	0	0.75	0	0	0	0	0	1
12	Zach Aston-Reese	Penguins (Pit)	LW	6	6	6	12	1	5	5	17	16	26	12	17	23.08%	7	139	23.21	0	1	1	0	5	0	1	1	0	8	0	0	22.73%	22	13	7	0	1	1.72	0	1	0	2	1	0
13	Kyle Capobianco	Penguins (Pit)	D	23	2	8	10	5	9	5	33	18	11	8	4	18.18%	30	452	19.67	1	2	3	1	22	0	0	0	0	28	0	0	0.00%	0	3	14	0	0	0.44	0	0	1	0	0	0
14	Kevin Ekman-Larsson	Penguins (Pit)	D	23	0	7	7	14	19	15	7	9	10	8	7	0.00%	15	327	14.22	0	0	0	1	3	0	0	0	0	1	0	0	0.00%	0	6	8	0	0	0.43	1	1	1	0	0	1
15	Clayton Stoner	Penguins (Pit)	D	23	1	3	4	13	37	5	25	13	12	6	10	8.33%	16	316	13.77	0	0	0	0	0	0	0	0	0	10	0	0	0.00%	0	1	17	0	0	0.25	0	0	1	0	0	0
16	Max McCormick	Penguins (Pit)	LW	23	0	4	4	-4	11	5	22	8	18	7	11	0.00%	2	160	6.97	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	8	4	0	0	0.50	1	0	0	0	0	0
17	Filip Hronek	Penguins (Pit)	D	23	1	2	3	6	26	20	22	25	10	6	4	10.00%	30	454	19.76	0	0	0	0	24	0	0	0	0	29	0	0	0.00%	0	1	25	0	0	0.13	0	2	2	0	0	0
18	Patrick Brown	Penguins (Pit)	C/RW	23	1	2	3	-4	17	15	20	17	9	6	9	11.11%	7	199	8.69	0	0	0	0	2	0	0	0	0	16	0	0	63.24%	68	2	3	0	0	0.30	1	0	2	0	0	0
Team Total or Average				391	133	218	351	110	349	205	558	455	809	254	454	16.44%	312	6836	17.48	32	52	84	57	313	2	2	4	7	290	16	5	56.61%	1346	185	213	1	3	1.03	12	13	16	14	17	13

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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	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	ST	BG	S3
1	Kasimir Kaskisuo	Penguins (Pit)	12	9	1	1	0.885	4.62	688	0	53	459	254	0	0	11	15	0
2	Joe Cannata	Penguins (Pit)	11	7	3	0	0.883	4.17	575	2	40	342	175	1	1	10	6	1
Team Total or Average			23	16	4	1	0.884	4.42	1264	2	93	801	429	1	1	21	21	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	CONT	Status	Type	Current Salary	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Link
Anthony Beauregard	Penguins (Pit)	C	23	1995-11-14	No	165 Lbs	5 ft7	No	No	No	3	RFA	Pro & Farm	750,000$	750,000$	750,000$								Link
Casey Bailey	Penguins (Pit)	RW	27	1991-10-27	No	195 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	650,000$										Link
Chris Conner	Penguins (Pit)	RW	34	1984-07-14 7:21:32 PM	No	181 Lbs	5 ft7	No	No	No	11	UFA	Pro & Farm	650,000$	650,000$	650,000$	650,000$	650,000$	650,000$	650,000$	650,000$	650,000$	650,000$	Link
Christian Thomas	Penguins (Pit)	C/LW/RW	25	1993-05-26	No	175 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	900,000$										Link
Clayton Stoner	Penguins (Pit)	D	32	1986-07-14 7:21:32 AM	No	216 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	650,000$										Link
Filip Hronek	Penguins (Pit)	D	21	1997-11-02	Yes	163 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	850,000$	850,000$	850,000$								Link
Giovanni Fiore	Penguins (Pit)	LW/RW	22	1996-08-13	Yes	194 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	700,000$	700,000$	700,000$								Link
Joe Cannata	Penguins (Pit)	C	28	1990-01-02	No	200 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	665,000$										Link
Jordan Caron	Penguins (Pit)	LW/RW	27	1991-11-02	No	204 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	650,000$										Link
Kasimir Kaskisuo	Penguins (Pit)	LW/RW	25	1993-10-02	No	201 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	750,000$	750,000$	750,000$								Link
Kevin Ekman-Larsson	Penguins (Pit)	D	23	1995-01-26	Yes	181 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	750,000$	750,000$	750,000$								Link
Kyle Capobianco	Penguins (Pit)	D	21	1997-08-13	Yes	178 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	750,000$	750,000$	750,000$								Link
Lane Pederson	Penguins (Pit)	C	21	1997-08-04	Yes	192 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	700,000$	700,000$	700,000$								Link
Lee Stempniak	Penguins (Pit)	RW	34	1984-07-14 7:21:32 PM	No	195 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	750,000$										Link
Matthew Highmore	Penguins (Pit)	LW/RW	22	1996-02-27	Yes	181 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	775,000$	775,000$	775,000$								Link
Max McCormick	Penguins (Pit)	LW	26	1992-04-30	No	188 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	650,000$	650,000$									Link
Nathan Gerbe	Penguins (Pit)	LW/RW	31	1987-07-24	No	178 Lbs	5 ft5	No	No	No	2	UFA	Pro & Farm	750,000$	750,000$									Link
Oscar Fantenberg	Penguins (Pit)	D	27	1991-10-07	Yes	203 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	650,000$	650,000$	650,000$	650,000$							Link
Patrick Brown	Penguins (Pit)	C/RW	26	1992-05-28	No	210 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	650,000$										Link
Tim McGauley	Penguins (Pit)	C	23	1995-07-23	No	175 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	750,000$	750,000$	750,000$								Link
Travis Boyd	Penguins (Pit)	C/RW	25	1993-09-14	No	191 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	500,000$										Link
Travis Morin	Penguins (Pit)	C/LW/RW	33	1985-01-09	No	200 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	650,000$										Link
Vili Saarijarvi	Penguins (Pit)	D	21	1997-05-15	Yes	165 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	750,000$	750,000$	750,000$								Link
Vitek Vanecek	Penguins (Pit)	G	22	1996-01-08	No	180 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	850,000$	850,000$									Link
Zach Aston-Reese	Penguins (Pit)	LW	24	1994-08-10	Yes	205 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	925,000$	925,000$	925,000$	925,000$							Link
Zach Redmond	Penguins (Pit)	D	29	1989-07-26	No	208 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	650,000$										Link
Zack MacEwen	Penguins (Pit)	C/RW	22	1996-07-08	Yes	212 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	850,000$	850,000$	850,000$	850,000$							Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	25.70	190 Lbs	6 ft0	2.56	724,630$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Zach Aston-Reese	Travis Morin	Lee Stempniak	40	1	2	2
2	Nathan Gerbe	Travis Boyd	Casey Bailey	30	1	2	2
3	Matthew Highmore	Zack MacEwen	Christian Thomas	20	1	2	2
4	Max McCormick	Patrick Brown	Zach Aston-Reese	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Redmond	Oscar Fantenberg	40	1	2	2
2	Filip Hronek	Kyle Capobianco	30	1	2	2
3	Kevin Ekman-Larsson	Clayton Stoner	20	1	2	2
4	Zach Redmond	Oscar Fantenberg	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Zach Aston-Reese	Travis Morin	Lee Stempniak	60	1	2	2
2	Nathan Gerbe	Travis Boyd	Casey Bailey	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Redmond	Oscar Fantenberg	60	1	2	2
2	Filip Hronek	Kyle Capobianco	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Zach Aston-Reese	Lee Stempniak	60	1	2	2
2	Travis Morin	Nathan Gerbe	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Redmond	Oscar Fantenberg	60	1	2	2
2	Filip Hronek	Kyle Capobianco	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Zach Aston-Reese	60	1	2	2	Zach Redmond	Oscar Fantenberg	60	1	2	2
2	Lee Stempniak	40	1	2	2	Filip Hronek	Kyle Capobianco	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Zach Aston-Reese	Lee Stempniak	60	1	2	2
2	Travis Morin	Nathan Gerbe	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Redmond	Oscar Fantenberg	60	1	2	2
2	Filip Hronek	Kyle Capobianco	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Zach Aston-Reese	Travis Morin	Lee Stempniak	Zach Redmond	Oscar Fantenberg

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Zach Aston-Reese	Travis Morin	Lee Stempniak	Zach Redmond	Oscar Fantenberg

Extra Forwards
Normal	PowerPlay	Penalty Kill
Matthew Highmore, Zack MacEwen, Christian Thomas	Matthew Highmore, Zack MacEwen	Christian Thomas

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Kevin Ekman-Larsson, Clayton Stoner, Filip Hronek	Kevin Ekman-Larsson	Clayton Stoner, Filip Hronek

Penalty Shots
Zach Aston-Reese, Lee Stempniak, Travis Morin, Nathan Gerbe, Casey Bailey

Goalie
#1 : Kasimir Kaskisuo, #2 : Joe Cannata

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

Custom OT Lines Defensemen
, , , ,

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Priority	Type	Description
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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	Americans	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	4	7	0	0	21	59	50	3	39	200	319	283	7	36	7	2	21	4	1	25.00%	1	0	100.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
2	Barracuda	1	0	1	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	4	8	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	21	59	50	3	32	200	319	283	7	31	18	11	30	1	0	0.00%	3	2	33.33%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
3	Bears	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	21	59	50	3	46	200	319	283	7	55	19	26	19	0	0	0.00%	3	1	66.67%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
4	Bruins	2	0	1	0	1	0	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	2	0	1	0	1	0	0	0	6	7	-1	2	0.500	6	10	16	1	0	21	59	50	3	57	200	319	283	7	69	35	8	41	5	2	40.00%	4	1	75.00%	1	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
5	Checkers	1	0	0	0	1	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	6	5	1	2	1.000	6	10	16	0	0	21	59	50	3	33	200	319	283	7	40	13	4	14	0	0	0.00%	2	1	50.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
6	Comets	1	0	0	0	1	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	6	5	1	2	1.000	6	10	16	0	0	21	59	50	3	29	200	319	283	7	38	18	13	29	3	2	66.67%	4	1	75.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
7	Crunch	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	21	59	50	3	37	200	319	283	7	27	11	5	15	2	0	0.00%	0	0	0.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
8	Devils	3	2	0	0	0	1	0	0	20	17	3	3	2	0	0	0	1	0	0	20	17	3	0	0	0	0	0	0	0	0	0	0	0	5	0.833	20	33	53	0	0	21	59	50	3	116	200	319	283	7	112	39	20	89	12	8	66.67%	10	9	10.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
9	IceHogs	1	1	0	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	11	8	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	11	18	29	0	0	21	59	50	3	44	200	319	283	7	46	26	54	27	1	0	0.00%	2	1	50.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
10	Marlies	1	1	0	0	0	0	0	0	8	3	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	8	3	5	2	1.000	8	12	20	0	0	21	59	50	3	30	200	319	283	7	40	10	16	22	0	0	0.00%	3	0	100.00%	1	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
11	Moose	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	21	59	50	3	22	200	319	283	7	51	12	14	21	1	0	0.00%	2	2	0.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
12	Phantoms	2	1	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	2	1	1	2	0.500	5	9	14	0	0	21	59	50	3	72	200	319	283	7	51	9	18	54	3	2	66.67%	4	2	50.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
13	Senators	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	4	3	2	1.000	7	12	19	0	0	21	59	50	3	35	200	319	283	7	35	14	10	31	2	2	100.00%	5	2	60.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
	Since Last GM Reset	23	13	5	0	3	2	0	0	133	109	24	11	7	3	0	0	1	0	0	70	61	9	12	6	2	0	3	1	0	0	63	48	15	34	0.739	133	218	351	1	0	21	59	50	3	809	200	319	283	7	882	312	351	558	58	32	55.17%	58	31	46.55%	2	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
15	Sound Tigers	3	3	0	0	0	0	0	0	24	14	10	1	1	0	0	0	0	0	0	8	4	4	2	2	0	0	0	0	0	0	16	10	6	6	1.000	24	40	64	0	0	21	59	50	3	122	200	319	283	7	138	35	96	57	14	8	57.14%	8	4	50.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
16	Stars	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	9	15	0	0	21	59	50	3	28	200	319	283	7	33	13	0	37	1	1	100.00%	0	0	0.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
	Total	23	13	5	0	3	2	0	0	133	109	24	11	7	3	0	0	1	0	0	70	61	9	12	6	2	0	3	1	0	0	63	48	15	34	0.739	133	218	351	1	0	21	59	50	3	809	200	319	283	7	882	312	351	558	58	32	55.17%	58	31	46.55%	2	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
	Vs Conference	18	11	3	0	2	2	0	0	98	76	22	7	5	1	0	0	1	0	0	41	33	8	11	6	2	0	2	1	0	0	57	43	14	28	0.778	98	162	260	1	0	21	59	50	3	639	200	319	283	7	686	218	233	408	45	24	53.33%	44	22	50.00%	2	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
	Vs Division	11	6	1	0	0	2	0	0	66	53	13	6	3	1	0	0	1	0	0	37	31	6	5	3	0	0	0	1	0	0	29	22	7	14	0.636	66	109	175	0	0	21	59	50	3	419	200	319	283	7	428	129	178	257	31	19	61.29%	29	17	41.38%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
20	Wolf Pack	1	0	0	0	0	1	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	5	6	-1	1	0.500	5	6	11	0	0	21	59	50	3	30	200	319	283	7	32	14	14	24	2	1	50.00%	2	0	100.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
21	Wolves	1	0	1	0	0	0	0	0	8	9	-1	1	0	1	0	0	0	0	0	8	9	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	8	12	20	0	0	21	59	50	3	37	200	319	283	7	48	19	40	27	7	5	71.43%	5	5	0.00%	0	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
23	34	W5	133	218	351	809	882	312	351	558	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	13	5	3	2	0	0	133	109

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
11	7	3	0	1	0	0	70	61

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
12	6	2	3	1	0	0	63	48

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	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
58	32	55.17%	58	31	46.55%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
200	319	283	7	21	59	50	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
225	359	62.67%	286	527	54.27%	251	460	54.57%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
496	266	453	196	438	238

Last Played Games

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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
1 - 2018-10-02	4	Penguins	7	Sound Tigers	6	W		BoxScore
2 - 2018-10-03	15	Penguins	2	Phantoms	1	W		BoxScore
4 - 2018-10-05	28	Devils	4	Penguins	7	W		BoxScore
6 - 2018-10-07	43	Penguins	3	Americans	4	L		BoxScore
8 - 2018-10-09	59	Penguins	4	Moose	3	W		BoxScore
9 - 2018-10-10	62	Devils	7	Penguins	8	W		BoxScore
12 - 2018-10-13	90	Bears	4	Penguins	6	W		BoxScore
14 - 2018-10-15	104	Penguins	9	Sound Tigers	4	W		BoxScore
17 - 2018-10-18	120	Devils	6	Penguins	5	L	X	BoxScore
18 - 2018-10-19	136	Penguins	6	Comets	5	W	X	BoxScore
21 - 2018-10-22	150	Wolves	9	Penguins	8	L		BoxScore
22 - 2018-10-23	160	Penguins	5	Wolf Pack	6	L	X	BoxScore
25 - 2018-10-26	179	Phantoms	6	Penguins	3	L		BoxScore
27 - 2018-10-28	195	Penguins	1	Bruins	3	L		BoxScore
29 - 2018-10-30	211	Sound Tigers	4	Penguins	8	W		BoxScore
31 - 2018-11-01	224	Penguins	7	Senators	4	W		BoxScore
32 - 2018-11-02	234	Penguins	6	Checkers	5	W	X	BoxScore
34 - 2018-11-04	246	Barracuda	8	Penguins	4	L		BoxScore
37 - 2018-11-07	263	Penguins	5	Bruins	4	W	X	BoxScore
39 - 2018-11-09	278	Crunch	2	Penguins	4	W		BoxScore
42 - 2018-11-12	303	Penguins	8	Marlies	3	W		BoxScore
43 - 2018-11-13	309	Stars	3	Penguins	6	W		BoxScore
48 - 2018-11-18	336	IceHogs	8	Penguins	11	W		BoxScore
50 - 2018-11-20	352	Penguins	-	Reign	-
52 - 2018-11-22	365	Senators	-	Penguins	-
55 - 2018-11-25	383	Penguins	-	Crunch	-
57 - 2018-11-27	395	Wolves	-	Penguins	-
59 - 2018-11-29	410	Penguins	-	IceCaps	-
61 - 2018-12-01	428	IceCaps	-	Penguins	-
63 - 2018-12-03	443	Penguins	-	Americans	-
64 - 2018-12-04	450	Penguins	-	Bears	-
66 - 2018-12-06	462	Bears	-	Penguins	-
68 - 2018-12-08	484	Americans	-	Penguins	-
72 - 2018-12-12	508	Penguins	-	Senators	-
73 - 2018-12-13	520	Pirates	-	Penguins	-
76 - 2018-12-16	539	Penguins	-	Crunch	-
78 - 2018-12-18	550	Penguins	-	Griffins	-
79 - 2018-12-19	556	Rampage	-	Penguins	-
83 - 2018-12-23	581	Pirates	-	Penguins	-
85 - 2018-12-25	592	Penguins	-	Heat	-
87 - 2018-12-27	604	Penguins	-	Moose	-
88 - 2018-12-28	616	Stars	-	Penguins	-
91 - 2018-12-31	633	Penguins	-	Pirates	-
92 - 2019-01-01	646	Sound Tigers	-	Penguins	-
96 - 2019-01-05	671	Wolf Pack	-	Penguins	-
99 - 2019-01-08	690	Penguins	-	Devils	-
101 - 2019-01-10	706	Moose	-	Penguins	-
104 - 2019-01-13	725	Penguins	-	Devils	-
106 - 2019-01-15	735	Penguins	-	Sound Tigers	-
107 - 2019-01-16	742	Gulls	-	Penguins	-
110 - 2019-01-19	765	Phantoms	-	Penguins	-
114 - 2019-01-23	792	Marlies	-	Penguins	-
118 - 2019-01-27	823	Monsters	-	Penguins	-
119 - 2019-01-28	833	Penguins	-	Sound Tigers	-
123 - 2019-02-01	850	Penguins	-	IceCaps	-
124 - 2019-02-02	858	Marlies	-	Penguins	-
126 - 2019-02-04	880	Wolves	-	Penguins	-
128 - 2019-02-06	894	Penguins	-	Admirals	-
131 - 2019-02-09	910	Senators	-	Penguins	-
133 - 2019-02-11	929	Penguins	-	Admirals	-
135 - 2019-02-13	939	Penguins	-	Phantoms	-
136 - 2019-02-14	948	Checkers	-	Penguins	-
139 - 2019-02-17	972	Wolf Pack	-	Penguins	-
140 - 2019-02-18	977	Penguins	-	Checkers	-
142 - 2019-02-20	996	Penguins	-	Wolf Pack	-
Trade Deadline --- Trades can’t be done after this day is simulated!
145 - 2019-02-23	1012	Bruins	-	Penguins	-
147 - 2019-02-25	1025	Penguins	-	Americans	-
149 - 2019-02-27	1043	Condors	-	Penguins	-
151 - 2019-03-01	1058	Penguins	-	Phantoms	-
153 - 2019-03-03	1075	Devils	-	Penguins	-
155 - 2019-03-05	1089	Penguins	-	Wolf Pack	-
157 - 2019-03-07	1104	Devils	-	Penguins	-
158 - 2019-03-08	1113	Penguins	-	Falcons	-
162 - 2019-03-12	1133	Penguins	-	Comets	-
164 - 2019-03-14	1144	Wild	-	Penguins	-
168 - 2019-03-18	1166	Wild	-	Penguins	-

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
27	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,956,500$	1,906,500$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date
580,754$	0$	580,754$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	122	11,442$	1,395,924$

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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
2018	23	13	5	0	3	2	0	0	133	109	24	11	7	3	0	0	1	0	0	70	61	9	12	6	2	0	3	1	0	0	63	48	15	34	133	218	351	1	0	21	59	50	3	809	200	319	283	7	882	312	351	558	58	32	55.17%	58	31	46.55%	2	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238
Total Regular Season	23	13	5	0	3	2	0	0	133	109	24	11	7	3	0	0	1	0	0	70	61	9	12	6	2	0	3	1	0	0	63	48	15	34	133	218	351	1	0	21	59	50	3	809	200	319	283	7	882	312	351	558	58	32	55.17%	58	31	46.55%	2	225	359	62.67%	286	527	54.27%	251	460	54.57%	496	266	453	196	438	238