NHLS - National Hockey League Simulated

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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`)
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8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Felix Unger Sorum			X		100.00	62	36	93	64	72	83	85	63	67	65	57	59	62	61	63	68	75	62	0
2	Cedric Pare	X				100.00	75	52	75	59	84	75	83	56	60	58	57	61	55	67	69	42	75	61	0
3	Tye Felhaber		X			100.00	65	39	70	59	69	84	85	56	53	57	58	55	59	68	70	36	75	60	0
4	Daniel D'Amato		X			100.00	63	39	84	58	72	77	83	56	53	55	57	54	59	65	67	42	75	59	0
5	Carter Wilkie (R)	X				100.00	72	41	83	58	81	71	69	56	64	53	57	55	59	66	68	42	75	59	0
6	Koehn Ziemmer (R)			X		100.00	66	38	86	57	75	74	81	56	53	55	54	58	56	62	64	65	75	59	0
7	Martin Misiak (R)			X		100.00	70	39	86	56	79	72	84	54	57	55	53	58	52	62	64	71	75	59	0
8	Milo Roelens	X				100.00	84	44	74	55	93	65	69	52	56	53	54	59	51	63	65	44	75	59	0
9	Tuomas Uronen (R)			X		100.00	65	39	81	57	74	79	80	55	52	54	58	56	57	61	63	49	75	59	0
10	Roman Ahcan	X	X			100.00	63	39	73	60	63	80	85	57	53	55	60	54	59	67	69	37	75	59	0
11	Austin Brimmer (R)			X		100.00	82	45	71	55	91	72	64	54	57	52	50	58	51	65	67	42	75	58	0
12	Zach Dean	X				100.00	61	38	80	58	70	71	68	56	61	59	55	57	54	63	65	78	75	58	0
13	Ville Ottavainen				X	100.00	82	43	72	62	91	82	83	61	30	60	53	59	46	64	66	60	75	62	0
14	Tyson Hinds				X	100.00	73	39	86	56	84	82	86	54	30	55	53	63	45	63	65	67	75	60	0
15	Ryan Johnson				X	100.00	65	39	79	58	76	79	84	57	30	55	52	59	48	65	67	75	75	59	0
16	Cole Clayton				X	100.00	73	41	79	57	82	64	84	55	30	56	52	58	45	66	68	42	75	59	0
17	Isaac Belliveau				X	100.00	68	42	70	55	77	67	70	54	30	56	53	57	46	64	66	48	75	58	0
18	D.J. King (R)				X	100.00	78	45	60	54	87	61	64	53	30	52	50	57	45	66	68	42	75	57	0
Scratches
1	David Gagnon (R)		X			100.00	62	40	75	56	71	63	66	54	58	57	50	53	52	66	68	42	75	57	0
2	Ivan Ryabkin (R)	X				100.00	60	45	56	58	69	73	71	57	61	59	52	53	54	59	61	69	75	57	0
3	Artur Cholach (R)				X	100.00	71	40	87	55	80	64	62	54	30	53	50	56	45	63	65	49	75	57	0

	TEAM AVERAGE					100.00	70	41	77	57	78	73	76	56	48	56	54	57	52	64	66	53	75	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	Joel Blomqvist	100.00	77	82	78	84	76	75	77	76	75	77	76	64	71	69	75	65	0
2	William Rousseau (R)	100.00	69	73	69	76	68	67	69	68	67	69	68	63	69	44	75	61	0
Scratches
1	Tomas Suchanek	100.00	67	73	69	73	66	65	67	66	65	67	66	63	69	44	75	60	0

	TEAM AVERAGE	100.00	71	76	72	78	70	69	71	70	69	71	70	63	70	52	75	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jessica Campbell	64	66	67	70	50	50	93	CAN	33	2	1,000,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	PSS	S1	S2	S3
1	Koehn Ziemmer	Penguins (PIT)	RW	4	2	1	3	0	2	10	8	14	2	3	14.29%	1	74	18.73	1	0	1	2	7	0	0	0	50.00%	6	0.80	0	0	0	1
2	Tyson Hinds	Penguins (PIT)	D	4	0	3	3	0	4	6	3	2	0	0	0.00%	7	93	23.47	0	0	0	1	7	10	0	0	0.00%	0	0.64	0	0	0	0
3	Carter Wilkie	Penguins (PIT)	C	4	2	0	2	0	4	13	10	5	5	6	40.00%	0	77	19.42	0	0	0	0	7	0	1	1	36.47%	85	0.52	1	1	0	0
4	Ryan Johnson	Penguins (PIT)	D	4	0	2	2	1	0	7	3	3	0	3	0.00%	5	86	21.68	0	1	1	1	6	8	0	0	0.00%	0	0.46	0	0	0	0
5	Cedric Pare	Penguins (PIT)	C	4	2	0	2	-1	0	12	11	9	0	8	22.22%	1	88	22.23	1	0	1	2	6	11	0	1	54.67%	75	0.45	1	1	1	0
6	Daniel D'Amato	Penguins (PIT)	LW	4	0	1	1	0	2	4	7	5	1	4	0.00%	1	84	21.12	0	0	0	2	7	7	0	0	0.00%	8	0.24	1	0	0	0
7	Felix Unger Sorum	Penguins (PIT)	RW	4	0	1	1	-1	0	3	6	9	1	11	0.00%	0	95	23.90	0	1	1	1	6	11	0	0	32.14%	28	0.21	1	0	0	0
8	Martin Misiak	Penguins (PIT)	RW	4	1	0	1	1	0	1	1	6	1	3	16.67%	1	54	13.72	0	0	0	0	0	0	1	0	50.00%	2	0.36	0	0	1	0
9	Ville Ottavainen	Penguins (PIT)	D	2	0	1	1	0	2	10	2	0	1	0	0.00%	3	47	23.60	0	1	1	0	4	6	0	0	0.00%	0	0.42	0	0	0	1
10	Cole Clayton	Penguins (PIT)	D	4	0	1	1	1	2	10	7	5	0	1	0.00%	10	82	20.58	0	0	0	1	6	7	0	0	0.00%	0	0.24	0	0	0	0
11	Roman Ahcan	Penguins (PIT)	C/LW	4	0	1	1	1	0	1	11	3	4	4	0.00%	0	60	15.22	0	0	0	0	0	4	0	0	50.94%	53	0.33	1	0	0	0
12	Artur Cholach	Penguins (PIT)	D	2	0	0	0	0	2	4	3	1	0	1	0.00%	2	41	20.91	0	0	0	0	0	1	0	0	0.00%	0	0.00	0	0	0	0
13	Austin Brimmer	Penguins (PIT)	RW	4	0	0	0	0	0	1	0	0	0	0	0.00%	0	2	0.55	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0
14	D.J. King	Penguins (PIT)	D	4	0	0	0	-1	2	7	5	3	0	1	0.00%	4	67	16.83	0	0	0	0	0	5	0	0	0.00%	0	0.00	0	0	0	0
15	Isaac Belliveau	Penguins (PIT)	D	4	0	0	0	-1	0	6	0	1	0	3	0.00%	7	65	16.41	0	0	0	0	2	1	0	0	0.00%	0	0.00	0	0	0	0
16	Tye Felhaber	Penguins (PIT)	LW	4	0	0	0	-1	2	4	5	5	3	9	0.00%	0	84	21.19	0	0	0	0	6	5	0	0	27.27%	11	0.00	1	0	0	0
17	Zach Dean	Penguins (PIT)	C	4	0	0	0	0	0	0	0	0	0	1	0.00%	0	7	1.88	0	0	0	0	0	0	0	0	25.00%	4	0.00	0	0	0	0
18	Milo Roelens	Penguins (PIT)	C	4	0	0	0	1	2	8	3	3	0	3	0.00%	1	65	16.33	0	0	0	0	0	0	0	0	46.15%	13	0.00	0	0	0	0
19	Tuomas Uronen	Penguins (PIT)	RW	4	0	0	0	0	0	0	0	2	0	3	0.00%	0	10	2.64	0	0	0	0	0	0	0	0	0.00%	0	0.00	1	0	0	0
Team Total or Average				72	7	11	18	0	24	107	85	76	18	64	9.21%	43	1192	16.56	2	3	5	10	70	82	2	2	42.81%	285	0.30	7	2	2	2

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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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Joel Blomqvist	Penguins (PIT)	4	2	1	1	0.948	1.47	245	0	0	6	116	0	1	0	0.857	7	4	0	1	0	1
Team Total or Average			4	2	1	1	0.948	1.47	245	0	0	6	116	0	1	0	0.857	7	4	0	1	0	1

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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`)
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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	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
Artur Cholach	D	24	2003-06-06	Yes	198 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Austin Brimmer	RW	26	2001-08-10	Yes	223 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Carter Wilkie	C	27	2000-04-03	Yes	205 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Cedric Pare	C	28	1999-01-24	No	205 Lbs	6 ft3	No	No	Yes	2	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Cole Clayton	D	27	2000-02-29	No	209 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
D.J. King	D	27	2000-08-07	Yes	216 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Daniel D'Amato	LW	26	2001-04-08	No	175 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
David Gagnon	LW	27	2000-04-19	Yes	181 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Felix Unger Sorum	RW	22	2005-09-14	No	190 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Isaac Belliveau	D	25	2002-11-26	No	185 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Ivan Ryabkin	C	20	2007-04-25	Yes	185 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Joel Blomqvist (1 Way Contract)	G	25	2002-01-10	No	200 Lbs	6 ft3	No	No	Yes	3	RFA	Pro & Farm	1,607,000$	1,607,000$	1,532,448$	No	Link / NHL Link
Koehn Ziemmer	RW	23	2004-12-08	Yes	202 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Martin Misiak	RW	23	2004-09-30	Yes	194 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Milo Roelens	C	24	2003-01-16	No	205 Lbs	6 ft6	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Roman Ahcan	C/LW	28	1999-03-24	No	170 Lbs	5 ft9	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Ryan Johnson	D	26	2001-07-24	No	195 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Tomas Suchanek	G	24	2003-04-30	No	180 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Tuomas Uronen	RW	22	2005-03-19	Yes	198 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Tye Felhaber (1 Way Contract)	LW	29	1998-08-05	No	185 Lbs	5 ft11	No	No	Yes	2	UFA	Pro & Farm	1,023,000$	1,023,000$	975,541$	No	Link / NHL Link
Tyson Hinds	D	24	2003-03-12	No	201 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Ville Ottavainen	D	25	2002-08-12	No	210 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
William Rousseau	G	24	2003-01-09	Yes	193 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Zach Dean	C	24	2003-01-04	No	176 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	25.00	195 Lbs	6 ft2	1.75	953,333$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tye Felhaber	Cedric Pare	Felix Unger Sorum	40	1	2	2
2	Daniel D'Amato	Carter Wilkie	Koehn Ziemmer	30	1	2	2
3	Milo Roelens	Roman Ahcan	Martin Misiak	20	1	2	2
4	Felix Unger Sorum	Milo Roelens	Tuomas Uronen	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ville Ottavainen	Tyson Hinds	40	1	2	2
2	Ryan Johnson	Cole Clayton	30	1	2	2
3	Isaac Belliveau	D.J. King	20	1	2	2
4	Ville Ottavainen	Tyson Hinds	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tye Felhaber	Cedric Pare	Felix Unger Sorum	60	1	2	2
2	Daniel D'Amato	Carter Wilkie	Koehn Ziemmer	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ville Ottavainen	Tyson Hinds	60	1	2	2
2	Ryan Johnson	Cole Clayton	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Felix Unger Sorum	Cedric Pare	60	1	2	2
2	Tye Felhaber	Daniel D'Amato	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ville Ottavainen	Tyson Hinds	60	1	2	2
2	Ryan Johnson	Cole Clayton	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Felix Unger Sorum	60	1	2	2	Ville Ottavainen	Tyson Hinds	60	1	2	2
2	Cedric Pare	40	1	2	2	Ryan Johnson	Cole Clayton	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Felix Unger Sorum	Cedric Pare	60	1	2	2
2	Tye Felhaber	Daniel D'Amato	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ville Ottavainen	Tyson Hinds	60	1	2	2
2	Ryan Johnson	Cole Clayton	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tye Felhaber	Cedric Pare	Felix Unger Sorum	Ville Ottavainen	Tyson Hinds

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tye Felhaber	Cedric Pare	Felix Unger Sorum	Ville Ottavainen	Tyson Hinds

Extra Forwards
Normal	PowerPlay	Penalty Kill
Zach Dean, Austin Brimmer, Roman Ahcan	Zach Dean, Austin Brimmer	Roman Ahcan

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Isaac Belliveau, D.J. King, Ryan Johnson	Isaac Belliveau	D.J. King, Ryan Johnson

Penalty Shots
Felix Unger Sorum, Cedric Pare, Tye Felhaber, Daniel D'Amato, Carter Wilkie

Goalie
#1 : Joel Blomqvist, #2 : William Rousseau

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

Custom OT Lines Defensemen
, , , ,

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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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	5	W1	7	11	18	76	116	43	24	107	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	1	0	0	0	1	7	7

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

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	2	0	0	0	0	0	5	2

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	1	0	0	0	1

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%	12	1	91.67%	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
20	25	31	7	3	1	3	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
40	92	43.48%	65	142	45.77%	17	47	36.17%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
87	57	105	31	51	24

Last Played Games 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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2 - 2026-09-30	7	Penguins	3	Phantoms	1	W			BoxScore
5 - 2026-10-03	26	Rocket	2	Penguins	1	L	X	X	BoxScore
7 - 2026-10-05	42	Moose	3	Penguins	1	L			BoxScore
9 - 2026-10-07	54	Penguins	2	Bears	1	W			BoxScore
11 - 2026-10-09	66	Penguins	-	Monsters	-
12 - 2026-10-10	78	Stars	-	Penguins	-
15 - 2026-10-13	98	Penguins	-	IceHogs	-
18 - 2026-10-16	119	Penguins	-	Eagles	-
19 - 2026-10-17	134	Penguins	-	Silver Knights	-
21 - 2026-10-19	140	Penguins	-	Roadrunners	-
24 - 2026-10-22	156	Checkers	-	Penguins	-
26 - 2026-10-24	175	Admirals	-	Penguins	-
31 - 2026-10-29	205	Roadrunners	-	Penguins	-
33 - 2026-10-31	223	Penguins	-	Rocket	-
36 - 2026-11-03	243	Silver Knights	-	Penguins	-
38 - 2026-11-05	251	Bruins	-	Penguins	-
40 - 2026-11-07	275	Penguins	-	Reign	-
41 - 2026-11-08	282	Penguins	-	Gulls	-
44 - 2026-11-11	297	Penguins	-	Barracuda	-
47 - 2026-11-14	321	Senators	-	Penguins	-
52 - 2026-11-19	352	Thunderbirds	-	Penguins	-
54 - 2026-11-21	362	Penguins	-	Admirals	-
55 - 2026-11-22	375	Penguins	-	Stars	-
58 - 2026-11-25	388	Wranglers	-	Penguins	-
60 - 2026-11-27	413	Penguins	-	Americans	-
61 - 2026-11-28	421	Marlies	-	Penguins	-
63 - 2026-11-30	432	Monsters	-	Penguins	-
65 - 2026-12-02	446	Penguins	-	Thunderbirds	-
68 - 2026-12-05	467	Comets	-	Penguins	-
69 - 2026-12-06	476	Barracuda	-	Penguins	-
71 - 2026-12-08	489	IceHogs	-	Penguins	-
73 - 2026-12-10	504	Penguins	-	Checkers	-
75 - 2026-12-12	517	Penguins	-	Crunch	-
78 - 2026-12-15	541	Crunch	-	Penguins	-
80 - 2026-12-17	555	Reign	-	Penguins	-
81 - 2026-12-18	563	Firebirds	-	Penguins	-
85 - 2026-12-22	591	Americans	-	Penguins	-
89 - 2026-12-26	604	Penguins	-	Wolves	-
92 - 2026-12-29	626	Wolves	-	Penguins	-
94 - 2026-12-31	645	Penguins	-	Senators	-
95 - 2027-01-01	654	Wild	-	Penguins	-
97 - 2027-01-03	669	Condors	-	Penguins	-
101 - 2027-01-07	694	Penguins	-	Wolves	-
103 - 2027-01-09	714	Penguins	-	Rocket	-
106 - 2027-01-12	730	Eagles	-	Penguins	-
107 - 2027-01-13	739	Penguins	-	Hammers	-
110 - 2027-01-16	768	Penguins	-	Marlies	-
112 - 2027-01-18	781	Bears	-	Penguins	-
115 - 2027-01-21	798	Gulls	-	Penguins	-
117 - 2027-01-23	817	Canucks	-	Penguins	-
119 - 2027-01-25	830	Penguins	-	Griffins	-
120 - 2027-01-26	840	Hammers	-	Penguins	-
123 - 2027-01-29	862	Wolf Pack	-	Penguins	-
125 - 2027-01-31	878	Phantoms	-	Penguins	-
127 - 2027-02-02	885	Crunch	-	Penguins	-
138 - 2027-02-13	920	Penguins	-	Condors	-
140 - 2027-02-15	933	Penguins	-	Firebirds	-
141 - 2027-02-16	944	Penguins	-	Canucks	-
144 - 2027-02-19	964	Penguins	-	Wranglers	-
146 - 2027-02-21	982	Penguins	-	Moose	-
148 - 2027-02-23	997	Penguins	-	Wild	-
150 - 2027-02-25	1006	Marlies	-	Penguins	-
153 - 2027-02-28	1031	Wolf Pack	-	Penguins	-
155 - 2027-03-02	1043	Penguins	-	Americans	-
157 - 2027-03-04	1059	Penguins	-	Checkers	-
159 - 2027-03-06	1071	Penguins	-	Bruins	-
160 - 2027-03-07	1081	Penguins	-	Hammers	-
162 - 2027-03-09	1096	Senators	-	Penguins	-
164 - 2027-03-11	1107	Bruins	-	Penguins	-
166 - 2027-03-13	1120	Bears	-	Penguins	-
167 - 2027-03-14	1134	Griffins	-	Penguins	-
169 - 2027-03-16	1147	Penguins	-	Monsters	-
171 - 2027-03-18	1165	Penguins	-	Comets	-
173 - 2027-03-20	1182	Penguins	-	Wolf Pack	-
175 - 2027-03-22	1193	Monsters	-	Penguins	-
178 - 2027-03-25	1216	Comets	-	Penguins	-
180 - 2027-03-27	1231	Wolves	-	Penguins	-
183 - 2027-03-30	1253	Penguins	-	Phantoms	-
185 - 2027-04-01	1266	Hammers	-	Penguins	-
187 - 2027-04-03	1285	Phantoms	-	Penguins	-
188 - 2027-04-04	1293	Penguins	-	Bears	-
190 - 2027-04-06	1306	Penguins	-	Wolf Pack	-
193 - 2027-04-09	1326	Penguins	-	Griffins	-
194 - 2027-04-10	1337	Penguins	-	Comets	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	50	30
Attendance	5,100	3,400
Attendance PCT	85.00%	85.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
40	4250 - 85.00%	169,575$	339,150$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
140,337$	2,025,000$	2,025,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	93,942$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
6,783,000$	185	15,593$	2,884,705$

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
Regular Season
2020	56	28	13	0	7	5	1	2	202	181	21	28	14	7	0	3	3	0	1	97	91	6	28	14	6	0	4	2	1	1	105	90	15	79	202	355	557	0	2	0	68	65	61	1920	0	622	620	640	1951	630	371	1329	141	30	21.28%	176	34	80.68%	2	944	1939	48.68%	997	2076	48.03%	449	936	47.97%	1290	882	1369	424	745	366
2021	82	24	41	0	9	5	1	2	275	328	-53	41	12	23	0	3	1	1	1	136	172	-36	41	12	18	0	6	4	0	1	139	156	-17	75	275	501	776	3	0	0	94	86	85	2646	0	883	829	897	3016	851	774	2040	231	50	21.65%	327	80	75.54%	4	1427	2796	51.04%	1597	3203	49.86%	704	1380	51.01%	1831	1232	2076	623	1070	519
2022	82	20	50	0	2	3	3	4	258	329	-71	41	11	24	0	1	1	3	1	127	161	-34	41	9	26	0	1	2	0	3	131	168	-37	57	258	459	717	3	0	0	89	83	81	2698	0	860	894	918	3170	938	900	2043	284	53	18.66%	374	81	78.34%	6	1516	2942	51.53%	1547	3245	47.67%	706	1413	49.96%	1825	1224	2071	628	1062	513
2023	81	27	44	0	5	3	1	1	240	287	-47	42	13	22	0	3	2	1	1	125	151	-26	39	14	22	0	2	1	0	0	115	136	-21	70	240	427	667	2	2	0	86	74	74	2536	0	782	834	901	2824	845	884	2005	291	50	17.18%	401	77	80.80%	6	1461	2830	51.63%	1552	3069	50.57%	702	1351	51.96%	1823	1216	2010	618	1046	510
2024	82	26	41	0	0	10	2	3	198	240	-42	41	16	17	0	0	6	0	2	111	115	-4	41	10	24	0	0	4	2	1	87	125	-38	69	198	347	545	0	7	0	73	69	54	2363	0	769	770	806	2462	700	709	2026	253	42	16.60%	309	58	81.23%	6	1414	2720	51.99%	1468	2813	52.19%	671	1255	53.47%	1898	1292	2003	616	1057	517
2025	82	26	33	0	8	10	3	2	214	242	-28	41	15	15	0	4	5	1	1	107	113	-6	41	11	18	0	4	5	2	1	107	129	-22	86	214	387	601	3	3	0	78	63	62	2212	0	696	770	704	2362	701	668	2012	261	42	16.09%	287	69	75.96%	4	1296	2578	50.27%	1403	2694	52.08%	653	1266	51.58%	1939	1330	1977	615	1059	522
2026	4	2	1	0	0	0	0	1	7	7	0	2	0	1	0	0	0	0	1	2	5	-3	2	2	0	0	0	0	0	0	5	2	3	5	7	11	18	0	0	3	1	3	0	76	20	25	31	7	116	43	24	107	9	2	22.22%	12	1	91.67%	0	40	92	43.48%	65	142	45.77%	17	47	36.17%	87	57	105	31	51	24
Total Regular Season	469	153	223	0	31	36	11	15	1394	1614	-220	236	81	109	0	14	18	6	8	705	808	-103	233	72	114	0	17	18	5	7	689	806	-117	441	1394	2487	3881	11	14	3	489	443	417	14451	20	4637	4748	4873	15901	4708	4330	11562	1470	269	18.30%	1886	400	78.79%	28	8098	15897	50.94%	8629	17242	50.05%	3902	7648	51.02%	10697	7236	11613	3557	6093	2975
Playoff
2020	6	2	4	0	0	0	0	0	17	25	-8	3	2	1	0	0	0	0	0	13	12	1	3	0	3	0	0	0	0	0	4	13	-9	4	17	31	48	0	0	0	7	10	0	238	0	82	94	62	232	71	34	163	18	4	22.22%	16	6	62.50%	0	128	262	48.85%	97	255	38.04%	46	106	43.40%	138	96	144	43	76	37
Total Playoff	6	2	4	0	0	0	0	0	17	25	-8	3	2	1	0	0	0	0	0	13	12	1	3	0	3	0	0	0	0	0	4	13	-9	4	17	31	48	0	0	0	7	10	0	238	0	82	94	62	232	71	34	163	18	4	22.22%	16	6	62.50%	0	128	262	48.85%	97	255	38.04%	46	106	43.40%	138	96	144	43	76	37