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
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	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	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
4	Casey Bailey			X		100.00	79	74	89	69	74	81	87	60	50	57	58	66	55	44	44	64	50	61	0
5	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
6	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
7	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
8	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
9	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
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	Chris Conner			X		100.00	70	62	89	65	62	69	71	61	50	56	61	61	58	44	44	63	50	58	0
13	Dennis Wideman				X	100.00	76	44	83	79	73	80	71	68	25	58	50	74	25	80	83	64	50	69	0
14	Zach Redmond				X	100.00	77	76	80	73	76	69	71	62	25	53	54	69	51	59	59	62	50	64	0
15	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
16	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
17	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
18	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	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
2	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
3	Tim McGauley	X				100.00	76	68	94	65	68	51	52	50	63	51	44	62	42	44	44	54	50	53	0
4	Anthony Beauregard	X				100.00	66	57	86	65	57	50	51	47	59	45	44	56	42	44	44	51	50	50	0
5	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
6	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	67	72	59	47	55	54	65	44	48	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
Scratches
1	Kasimir Kaskisuo	100.00	60	51	64	80	63	63	62	67	66	65	30	44	44	62	50	61	0
2	Vitek Vanecek	100.00	50	64	80	68	46	54	50	56	51	51	30	44	44	53	50	53	0

	TEAM AVERAGE	100.00	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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Zach Aston-Reese	Penguins (Pit)	LW	17	12	15	27	0	0	0	36	27	86	25	47	13.95%	9	384	22.62	5	3	8	9	31	1	37	1	1	24.53%	106	26	11	0	1.40	0	0	0	3	1	2
2	Nathan Gerbe	Penguins (Pit)	LW/RW	17	11	14	25	-3	44	30	24	20	87	26	38	12.64%	10	346	20.38	2	8	10	6	28	1	15	1	2	46.67%	30	12	12	1	1.44	1	2	3	1	1	0
3	Travis Morin	Penguins (Pit)	C/LW/RW	17	6	14	20	-4	29	25	29	38	47	16	25	12.77%	18	369	21.72	1	7	8	1	29	4	34	0	0	50.56%	540	2	15	0	1.08	3	2	0	1	0	2
4	Casey Bailey	Penguins (Pit)	RW	17	10	7	17	7	42	30	30	24	47	16	19	21.28%	5	292	17.22	1	2	3	3	26	0	14	1	0	46.15%	13	15	4	1	1.16	4	2	0	1	1	0
5	Zack MacEwen	Penguins (Pit)	C/RW	17	9	7	16	6	48	30	23	15	37	15	18	24.32%	9	221	13.01	0	0	0	0	4	0	1	2	1	63.79%	116	9	4	1	1.45	1	4	1	1	1	0
6	Matthew Highmore	Penguins (Pit)	LW/RW	17	7	7	14	6	10	10	29	21	53	13	44	13.21%	6	281	16.55	0	1	1	0	25	0	1	1	1	45.45%	11	13	7	0	1.00	0	2	0	1	1	0
7	Travis Boyd	Penguins (Pit)	C/RW	17	3	10	13	7	16	0	43	33	63	20	27	4.76%	5	286	16.88	2	2	4	2	25	0	1	1	0	55.88%	204	8	4	0	0.91	0	0	0	1	0	0
8	Jordan Caron	Penguins (Pit)	LW/RW	17	5	6	11	7	16	10	34	13	30	10	15	16.67%	4	216	12.74	0	0	0	0	1	0	8	0	0	42.86%	14	3	4	0	1.02	1	0	1	0	0	2
9	Zach Redmond	Penguins (Pit)	D	17	4	7	11	0	54	30	40	31	32	12	9	12.50%	27	458	26.97	4	1	5	5	32	0	34	0	0	0.00%	0	10	24	0	0.48	3	1	2	0	0	1
10	Christian Thomas	Penguins (Pit)	C/LW/RW	17	3	7	10	4	0	0	16	16	35	16	20	8.57%	1	188	11.10	0	0	0	0	0	1	15	0	0	40.91%	22	12	5	0	1.06	0	0	0	0	2	0
11	Oscar Fantenberg	Penguins (Pit)	D	10	2	7	9	1	4	0	20	14	24	10	6	8.33%	23	268	26.87	2	2	4	2	16	2	25	1	0	0.00%	0	10	14	0	0.67	0	0	0	0	0	1
12	Kyle Capobianco	Penguins (Pit)	D	17	1	8	9	-7	12	10	19	20	16	5	7	6.25%	12	341	20.06	1	2	3	2	20	0	24	1	0	0.00%	0	3	20	0	0.53	0	0	2	0	0	0
13	Filip Hronek	Penguins (Pit)	D	17	0	9	9	-2	29	25	19	18	16	6	10	0.00%	20	358	21.10	0	1	1	0	23	0	30	0	0	0.00%	0	2	21	0	0.50	2	1	2	0	0	0
14	Max McCormick	Penguins (Pit)	LW	17	4	2	6	-2	34	20	31	4	25	11	16	16.00%	4	156	9.22	0	0	0	0	0	1	11	0	0	42.86%	7	4	5	0	0.77	2	1	1	0	0	0
15	Patrick Brown	Penguins (Pit)	C/RW	17	1	5	6	-1	29	15	20	19	20	4	14	5.00%	3	166	9.80	0	0	0	0	0	0	0	0	0	53.85%	39	3	4	0	0.72	2	0	1	0	0	0
16	Clayton Stoner	Penguins (Pit)	D	16	0	5	5	10	19	5	23	24	6	6	2	0.00%	12	208	13.02	0	0	0	0	1	0	12	0	0	0.00%	0	0	10	0	0.48	1	0	0	0	0	1
17	Dennis Wideman	Penguins (Pit)	D	6	1	4	5	-2	6	0	10	7	12	9	6	8.33%	10	168	28.01	1	2	3	1	13	1	9	0	0	0.00%	0	4	7	0	0.60	0	0	0	0	0	0
18	Kevin Ekman-Larsson	Penguins (Pit)	D	17	0	5	5	11	2	0	11	7	11	3	12	0.00%	16	249	14.66	0	0	0	0	8	0	2	0	0	0.00%	0	3	13	0	0.40	0	0	0	0	0	0
19	Vili Saarijarvi	Penguins (Pit)	D	2	0	2	2	4	0	0	3	3	1	1	0	0.00%	2	25	12.82	0	0	0	0	0	0	1	0	0	0.00%	0	1	0	0	1.56	0	0	0	0	0	0
20	Chris Conner	Penguins (Pit)	RW	7	1	0	1	1	5	5	4	4	8	2	9	12.50%	0	56	8.02	0	0	0	0	0	0	0	0	0	0.00%	0	3	0	0	0.36	0	0	1	0	0	0
21	Giovanni Fiore	Penguins (Pit)	LW/RW	10	1	0	1	-2	0	0	8	3	10	3	6	10.00%	1	83	8.35	0	0	0	0	0	0	0	0	0	0.00%	1	3	2	0	0.24	0	0	0	0	0	0
Team Total or Average				306	81	141	222	41	399	245	472	361	666	229	350	12.16%	197	5129	16.76	19	31	50	31	293	11	283	9	5	49.95%	1103	146	186	3	0.87	20	15	14	9	7	9

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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	GA	SA	SAR	A	EG	ST	BG	S1	S2
1	Joe Cannata	Penguins (Pit)	10	7	3	0	0.896	4.08	589	40	386	216	2	1	10	6	1	0
2	Kasimir Kaskisuo	Penguins (Pit)	8	2	3	2	0.896	3.73	450	28	270	156	0	1	7	10	0	1
Team Total or Average			18	9	6	2	0.896	3.93	1039	68	656	372	2	2	17	16	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

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	Link
Anthony Beauregard	Penguins (Pit)	C	23	1995-11-14	No	165 Lbs	5 ft7	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Casey Bailey	Penguins (Pit)	RW	27	1991-10-27	No	195 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	650,000$	0$	0$	No	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$	0$	0$	No	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$	0$	0$	No	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$	0$	0$	No	Link
Dennis Wideman	Penguins (Pit)	D	34	1984-07-14 7:21:32 PM	No	200 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link
Filip Hronek	Penguins (Pit)	D	21	1997-11-02	Yes	163 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No	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$	0$	0$	No	Link
Joe Cannata	Penguins (Pit)	G	29	1990-01-02	No	200 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	665,000$	0$	0$	No	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$	0$	0$	No	Link
Kasimir Kaskisuo	Penguins (Pit)	G	25	1993-10-02	No	201 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Kevin Ekman-Larsson	Penguins (Pit)	D	24	1995-01-26	Yes	181 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Kyle Capobianco	Penguins (Pit)	D	21	1997-08-13	Yes	178 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Lane Pederson	Penguins (Pit)	C	21	1997-08-04	Yes	192 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	700,000$	0$	0$	No	Link
Matthew Highmore	Penguins (Pit)	LW/RW	23	1996-02-27	Yes	181 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	775,000$	0$	0$	No	Link
Max McCormick	Penguins (Pit)	LW	27	1992-04-30	No	188 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	650,000$	0$	0$	No	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$	0$	0$	No	Link
Oscar Fantenberg	Penguins (Pit)	D	27	1991-10-07	Yes	203 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	650,000$	0$	0$	No	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$	0$	0$	No	Link
Tim McGauley	Penguins (Pit)	C	23	1995-07-23	No	175 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	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$	0$	0$	No	Link
Travis Morin	Penguins (Pit)	C/LW/RW	34	1985-01-09	No	200 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	650,000$	0$	0$	No	Link
Vili Saarijarvi	Penguins (Pit)	D	21	1997-05-15	Yes	165 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link
Vitek Vanecek	Penguins (Pit)	G	23	1996-01-08	No	180 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	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$	0$	0$	No	Link
Zach Redmond	Penguins (Pit)	D	29	1989-07-26	No	208 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	650,000$	0$	0$	No	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$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
27	25.93	190 Lbs	6 ft0	2.59	730,185$

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

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

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

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dennis Wideman	Zach Redmond	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	Travis Morin	60	1	2	2
2	Nathan Gerbe	Casey Bailey	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dennis Wideman	Zach Redmond	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	Dennis Wideman	Zach Redmond	60	1	2	2
2	Travis Morin	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	Travis Morin	60	1	2	2
2	Nathan Gerbe	Casey Bailey	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dennis Wideman	Zach Redmond	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	Nathan Gerbe	Dennis Wideman	Zach Redmond

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Zach Aston-Reese	Travis Morin	Nathan Gerbe	Dennis Wideman	Zach Redmond

Extra Forwards
Normal	PowerPlay	Penalty Kill
Zack MacEwen, Patrick Brown, Jordan Caron	Zack MacEwen, Patrick Brown	Jordan Caron

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, Travis Morin, Nathan Gerbe, Casey Bailey, Travis Boyd

Goalie
#1 : , #2 : Joe Cannata

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

Custom OT Lines Defensemen
, , , ,

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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	Bruins	7	4	3	0	0	0	0	0	30	30	0	3	2	1	0	0	0	0	0	15	14	1	4	2	2	0	0	0	0	0	15	16	-1	8	0.571	30	51	81	2	0	16	26	37	2	264	143	262	246	15	283	97	149	202	18	2	11.11%	27	9	66.67%	0	207	380	54.47%	195	407	47.91%	149	316	47.15%	382	214	344	150	315	165
2	Moose	5	4	1	0	0	0	0	0	34	21	13	3	3	0	0	0	0	0	0	26	12	14	2	1	1	0	0	0	0	0	8	9	-1	8	0.800	34	58	92	0	0	16	26	37	2	187	143	262	246	15	205	57	167	137	17	13	76.47%	15	5	66.67%	0	207	380	54.47%	195	407	47.91%	149	316	47.15%	382	214	344	150	315	165
3	Senators	5	1	4	0	0	0	0	0	17	19	-2	3	1	2	0	0	0	0	0	9	9	0	2	0	2	0	0	0	0	0	8	10	-2	2	0.200	17	32	49	0	0	16	26	37	2	215	143	262	246	15	170	43	83	133	13	4	30.77%	9	2	77.78%	0	207	380	54.47%	195	407	47.91%	149	316	47.15%	382	214	344	150	315	165
	Total	17	9	8	0	0	0	0	0	81	70	11	9	6	3	0	0	0	0	0	50	35	15	8	3	5	0	0	0	0	0	31	35	-4	18	0.529	81	141	222	2	0	16	26	37	2	666	143	262	246	15	658	197	399	472	48	19	39.58%	51	16	68.63%	0	207	380	54.47%	195	407	47.91%	149	316	47.15%	382	214	344	150	315	165
	_Since Last GM Reset	17	9	8	0	0	0	0	0	81	70	11	9	6	3	0	0	0	0	0	50	35	15	8	3	5	0	0	0	0	0	31	35	-4	18	0.529	81	141	222	2	0	16	26	37	2	666	143	262	246	15	658	197	399	472	48	19	39.58%	51	16	68.63%	0	207	380	54.47%	195	407	47.91%	149	316	47.15%	382	214	344	150	315	165
	_Vs Conference	17	9	8	0	0	0	0	0	81	70	11	9	6	3	0	0	0	0	0	50	35	15	8	3	5	0	0	0	0	0	31	35	-4	18	0.529	81	141	222	2	0	16	26	37	2	666	143	262	246	15	658	197	399	472	48	19	39.58%	51	16	68.63%	0	207	380	54.47%	195	407	47.91%	149	316	47.15%	382	214	344	150	315	165

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
17	18	L1	81	141	222	666	658	197	399	472	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	9	8	0	0	0	0	81	70

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	6	3	0	0	0	0	50	35

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	3	5	0	0	0	0	31	35

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	4	0	2	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
48	19	39.58%	51	16	68.63%	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
143	262	246	15	16	26	37	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
207	380	54.47%	195	407	47.91%	149	316	47.15%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
382	214	344	150	315	165

Last Played Games Show or Hide Column

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2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
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7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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	3	Moose	3	Penguins	11	W		BoxScore
3 - 2018-10-04	11	Moose	4	Penguins	5	W		BoxScore
5 - 2018-10-06	19	Penguins	4	Moose	2	W		BoxScore
7 - 2018-10-08	27	Penguins	4	Moose	7	L		BoxScore
9 - 2018-10-10	35	Moose	5	Penguins	10	W		BoxScore
15 - 2018-10-16	58	Penguins	5	Bruins	4	W	X	BoxScore
17 - 2018-10-18	62	Penguins	5	Bruins	6	L		BoxScore
19 - 2018-10-20	66	Bruins	4	Penguins	2	L		BoxScore
21 - 2018-10-22	70	Bruins	4	Penguins	5	W	X	BoxScore
23 - 2018-10-24	74	Penguins	1	Bruins	3	L		BoxScore
25 - 2018-10-26	78	Bruins	6	Penguins	8	W		BoxScore
27 - 2018-10-28	82	Penguins	4	Bruins	3	W		BoxScore
29 - 2018-10-30	85	Senators	1	Penguins	4	W		BoxScore
31 - 2018-11-01	87	Senators	6	Penguins	4	L		BoxScore
33 - 2018-11-03	89	Penguins	3	Senators	4	L	X	BoxScore
35 - 2018-11-05	91	Penguins	5	Senators	6	L	X	BoxScore
37 - 2018-11-07	93	Senators	2	Penguins	1	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
29	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,971,500$	1,921,500$	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$

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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	17	9	8	0	0	0	0	0	81	70	11	9	6	3	0	0	0	0	0	50	35	15	8	3	5	0	0	0	0	0	31	35	-4	18	81	141	222	2	0	16	26	37	2	666	143	262	246	15	658	197	399	472	48	19	39.58%	51	16	68.63%	0	207	380	54.47%	195	407	47.91%	149	316	47.15%	382	214	344	150	315	165
Total Playoff	17	9	8	0	0	0	0	0	81	70	11	9	6	3	0	0	0	0	0	50	35	15	8	3	5	0	0	0	0	0	31	35	-4	18	81	141	222	2	0	16	26	37	2	666	143	262	246	15	658	197	399	472	48	19	39.58%	51	16	68.63%	0	207	380	54.47%	195	407	47.91%	149	316	47.15%	382	214	344	150	315	165