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Pittsburgh 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	Michael Rasmussen	0	X	X			100.00	76	58	85	69	96	84	89	68	77	67	65	80	64	68	70	82	50	70	0
2	Matias Maccelli	0		X	X		100.00	58	34	95	74	69	83	86	76	58	75	67	65	74	66	68	59	50	68	0
3	Alex Nylander	0	X	X	X		100.00	67	38	93	69	78	91	86	68	59	62	70	63	71	67	69	74	50	67	0
4	John Leonard	0		X	X		100.00	63	37	90	66	72	93	87	64	61	63	65	62	66	68	69	42	50	65	0
5	Patrick Brown	0	X		X		100.00	81	38	90	63	81	86	83	62	72	64	58	67	59	73	77	26	50	65	0
6	Bradly Nadeau	0	X	X	X		100.00	61	37	83	67	68	84	72	66	62	67	64	63	68	61	63	80	50	64	0
7	Isak Rosen	0	X	X	X		100.00	60	36	95	66	70	86	87	65	56	62	63	61	66	62	64	84	50	64	0
8	Max Sasson	0	X	X	X		100.00	64	37	87	63	74	84	85	64	71	65	61	60	63	65	67	42	50	64	0
9	Antonio Stranges	0		X			100.00	57	37	89	65	66	91	80	63	64	62	61	64	66	63	65	58	50	63	0
10	Vasily Ponomarev	0	X				100.00	59	37	82	67	69	78	80	65	73	63	60	62	67	63	64	70	50	63	0
11	Wyatt Bongiovanni	0		X			100.00	64	38	82	62	73	91	79	59	58	57	64	58	61	66	68	42	50	62	0
12	Bryce McConnell-Barker	0	X				100.00	67	39	84	57	76	67	72	56	59	54	55	58	54	61	63	65	50	58	0
13	Michael Kesselring	0				X	100.00	72	59	70	68	92	85	89	67	30	75	64	69	53	65	68	47	50	70	0
14	Henry Thrun	0				X	100.00	71	42	86	69	82	88	84	66	30	68	60	67	52	64	66	60	50	68	0
15	Egor Zamula	0				X	100.00	62	37	91	67	83	87	84	66	30	73	61	63	54	65	66	42	50	67	0
16	Matt Grzelcyk	0				X	100.00	66	36	89	68	65	90	87	67	30	77	54	66	51	75	71	49	50	67	0
17	Jordan Harris	0				X	100.00	64	34	90	66	70	86	76	63	30	71	58	72	52	66	67	63	50	66	0
18	Ronnie Attard	0				X	100.00	75	42	71	62	85	83	84	61	30	63	55	67	48	66	68	62	50	66	0
19	Spencer Stastney	0				X	100.00	61	36	95	64	71	83	81	63	30	65	59	68	50	65	67	55	50	65	0
20	Connor Carrick	0				X	100.00	61	43	67	64	70	94	85	63	30	62	59	57	50	71	73	45	50	64	0
21	Isaiah George	0				X	100.00	65	37	94	66	77	83	72	62	30	63	59	64	50	61	62	63	50	64	0
22	Yan Kuznetsov	0				X	100.00	72	40	85	58	88	77	85	57	30	56	55	59	47	63	65	71	50	63	0
Scratches
1	Nick Abruzzese	0		X			100.00	60	36	93	66	69	80	87	64	71	63	58	57	60	66	68	56	50	62	0
2	Andre Lee	0		X			100.00	79	42	79	62	91	75	79	60	55	59	58	61	57	65	66	47	50	62	0
3	Martin Chromiak	0			X		100.00	63	37	90	61	72	84	86	58	62	60	59	57	61	63	65	57	50	61	0
4	Parker Ford	0			X		100.00	65	38	74	61	68	85	82	59	61	58	63	57	66	65	67	42	50	61	0
5	Samu Tuomaala	0			X		100.00	56	37	89	62	67	82	81	61	66	64	59	57	61	62	64	74	50	61	0
6	Wilmer Skoog	0	X				100.00	71	40	80	59	80	86	82	57	63	56	60	58	57	66	68	42	50	61	0
7	Danila Klimovich	0			X		100.00	72	42	73	60	81	90	76	59	57	55	61	58	63	62	64	74	50	61	0
8	Rhett Gardner	0	X				100.00	73	42	68	58	85	77	83	57	71	55	56	59	54	69	71	48	50	61	0
9	Chaz Lucius	0	X				100.00	65	37	91	62	74	78	67	59	69	61	55	58	56	62	64	83	50	60	0
10	Braeden Bowman	0			X		100.00	69	38	94	57	78	73	72	59	62	60	58	56	59	62	64	45	50	60	0
11	Niko Huuhtanen	0			X		100.00	74	42	72	59	83	81	69	56	61	57	58	59	56	62	64	49	50	60	0
12	Roman Ahcan	0		X			100.00	63	38	78	58	63	78	82	57	56	55	59	54	57	66	68	42	50	59	0
13	Chase Stillman	0			X		100.00	65	41	70	58	74	77	82	57	53	55	56	54	58	62	64	79	50	58	0
14	Riley Kidney	0	X				100.00	61	38	80	58	69	71	83	57	63	56	54	53	55	62	64	68	50	58	0
15	Gleb Trikozov	0		X			100.00	72	38	94	57	81	77	62	56	54	52	55	53	58	61	63	68	50	57	0
16	Josh Filmon	0		X			100.00	59	36	94	53	69	63	61	52	55	51	50	54	53	61	63	49	50	54	0
17	Calen Addison	0				X	100.00	58	40	71	65	67	73	85	63	30	66	54	56	48	65	67	68	50	61	0
18	Mac Hollowell	0				X	100.00	63	39	72	64	63	75	82	62	30	67	52	54	47	67	69	51	50	61	0
19	Philip Kemp	0				X	100.00	69	40	75	57	84	65	83	58	30	53	55	59	47	66	68	47	50	61	0
20	Ty Nelson	0				X	100.00	55	39	79	64	68	78	73	63	30	61	54	56	47	61	63	67	50	60	0
21	Peter DiLiberatore	0				X	100.00	55	37	79	57	64	70	68	56	30	55	54	51	46	65	67	47	50	57	0

	TEAM AVERAGE					100.00	65	39	83	63	75	81	80	61	51	62	59	60	57	65	67	58	50	63

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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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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	Spencer Knight	100.00	83	87	83	84	82	81	83	82	81	83	82	65	71	83	50	79	0
2	Parker Gahagen	100.00	75	78	73	79	74	73	75	74	73	75	74	72	86	27	50	73	0
Scratches

	TEAM AVERAGE	100.00	79	83	78	82	78	77	79	78	77	79	78	69	79	55	50	76

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Marco Sturm	73	71	72	65	71	66	80	DEU	46	5	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	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	P/20	FT	S1	S2	S3
1	Matias Maccelli	Penguins (Pit)	LW/RW	6	6	4	10	3	2	0	5	8	25	5	13	24.00%	2	147	24.64	1	1	2	5	26	1	0	1	2	36	0	1	46.84%	79	1.35	0	2	0	1
2	Michael Kesselring	Penguins (Pit)	D	6	3	6	9	5	9	5	15	7	12	2	9	25.00%	4	143	23.99	2	2	4	11	28	0	1	1	0	30	0	0	0.00%	0	1.25	1	1	0	2
3	Antonio Stranges	Penguins (Pit)	LW	6	2	6	8	7	2	0	4	8	16	4	10	12.50%	0	86	14.40	0	0	0	0	0	0	0	0	0	1	1	0	28.57%	7	1.85	0	0	1	1
4	Henry Thrun	Penguins (Pit)	D	6	2	6	8	5	12	0	8	3	13	3	7	15.38%	5	144	24.01	1	4	5	8	29	1	0	1	1	28	0	0	0.00%	0	1.11	0	0	1	0
5	Michael Rasmussen	Penguins (Pit)	C/LW	6	2	5	7	2	8	0	15	10	28	7	17	7.14%	0	96	16.13	0	1	1	11	27	0	0	0	0	0	1	0	60.50%	119	1.45	0	0	1	0
6	Bradly Nadeau	Penguins (Pit)	C/LW/RW	6	2	4	6	4	0	0	3	6	27	6	11	7.41%	0	115	19.31	1	1	2	8	26	0	1	1	2	20	0	1	50.00%	8	1.04	0	1	1	0
7	Isak Rosen	Penguins (Pit)	C/LW/RW	6	2	3	5	6	2	0	5	4	15	6	8	13.33%	0	86	14.39	0	0	0	0	0	0	0	0	0	0	1	0	80.00%	5	1.16	0	0	0	1
8	Jordan Harris	Penguins (Pit)	D	6	1	4	5	4	8	0	0	5	10	3	9	10.00%	5	125	20.93	0	1	1	7	23	0	1	1	1	28	0	0	0.00%	0	0.80	0	0	1	0
9	Spencer Stastney	Penguins (Pit)	D	6	1	2	3	4	8	0	6	4	6	1	2	16.67%	4	92	15.45	0	0	0	0	0	0	0	0	0	12	0	0	0.00%	0	0.65	0	0	0	0
10	John Leonard	Penguins (Pit)	LW/RW	6	0	3	3	3	2	0	7	7	13	3	11	0.00%	0	142	23.74	0	1	1	2	27	0	1	1	1	40	0	0	63.16%	19	0.42	0	0	0	0
11	Max Sasson	Penguins (Pit)	C/LW/RW	6	2	1	3	6	4	0	9	9	4	5	8	50.00%	0	84	14.08	0	0	0	0	0	0	0	0	0	0	1	0	63.33%	60	0.71	0	0	0	0
12	Patrick Brown	Penguins (Pit)	C/RW	6	1	2	3	3	8	0	11	3	8	3	12	12.50%	0	93	15.66	1	0	1	5	26	0	0	0	0	0	0	0	83.33%	6	0.64	0	0	0	0
13	Isaiah George	Penguins (Pit)	D	6	0	2	2	4	6	0	6	5	2	1	4	0.00%	6	80	13.47	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0.49	0	0	0	0
14	Ronnie Attard	Penguins (Pit)	D	6	0	2	2	4	12	0	14	2	6	3	4	0.00%	6	127	21.23	0	1	1	6	24	0	0	0	0	28	0	0	0.00%	0	0.31	0	0	0	0
15	Alex Nylander	Penguins (Pit)	C/LW/RW	6	1	0	1	1	0	0	0	0	1	0	1	100.00%	0	11	1.91	0	0	0	0	0	0	0	0	0	10	1	0	80.00%	5	1.74	0	0	0	0
16	Connor Carrick	Penguins (Pit)	D	6	0	1	1	1	0	0	1	0	0	0	0	0.00%	2	5	0.96	0	0	0	0	0	0	0	0	0	4	0	0	0.00%	0	3.46	0	0	0	0
17	Marco Kasper	Pittsburgh Penguins	C	1	1	0	1	1	0	0	1	3	12	2	7	8.33%	1	20	20.02	0	0	0	2	4	0	0	0	0	2	0	0	73.91%	23	1.00	0	0	0	0
18	Vasily Ponomarev	Penguins (Pit)	C	6	0	1	1	0	0	0	0	1	0	1	0	0.00%	0	11	1.88	0	0	0	0	0	0	0	0	0	0	0	0	60.00%	15	1.77	0	0	0	0
19	Bryce McConnell-Barker	Penguins (Pit)	C	5	0	0	0	3	2	0	4	5	5	1	2	0.00%	0	96	19.31	0	0	0	2	22	0	0	0	0	18	0	0	55.77%	104	0.00	0	0	0	0
20	Wyatt Bongiovanni	Penguins (Pit)	LW	6	0	0	0	0	2	0	2	0	0	1	0	0.00%	0	11	1.84	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0
Team Total or Average				114	26	52	78	66	87	5	116	90	203	57	135	12.81%	35	1724	15.13	6	12	18	67	269	2	4	6	7	264	5	2	58.22%	450	0.90	1	4	5	5

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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	Spencer Knight	Penguins (Pit)	6	5	1	0	0.906	1.67	360	0	1	10	106	0	0	0	0.000	0	6	0	0	0	0
Team Total or Average			6	5	1	0	0.906	1.67	360	0	1	10	106	0	0	0	0.000	0	6	0	0	0	0

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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	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
Alex Nylander	C/LW/RW	27	1998-03-02	No	205 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Andre Lee	LW	25	2000-07-26	No	206 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Antonio Stranges	LW	23	2002-02-05	No	168 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Bradly Nadeau	C/LW/RW	20	2005-05-05	No	172 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Braeden Bowman	RW	22	2003-06-26	No	205 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Bryce McConnell-Barker	C	21	2004-06-04	No	191 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Calen Addison	D	25	2000-04-11	No	173 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Chase Stillman	RW	22	2003-03-19	No	185 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Chaz Lucius	C	22	2003-05-02	No	185 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Connor Carrick	D	31	1994-04-13	No	198 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Danila Klimovich	RW	22	2003-01-09	No	202 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Egor Zamula	D	25	2000-03-30	No	200 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Gleb Trikozov	LW	21	2004-08-12	No	201 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Henry Thrun	D	24	2001-03-12	No	210 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Isaiah George	D	21	2004-02-15	No	196 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Isak Rosen	C/LW/RW	22	2003-03-15	No	180 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
John Leonard	LW/RW	27	1998-08-07	No	196 Lbs	5 ft11	No	No	No	4	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jordan Harris	D	25	2000-07-07	No	187 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Josh Filmon	LW	21	2004-03-18	No	158 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Mac Hollowell	D	27	1998-09-26	No	170 Lbs	5 ft9	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Martin Chromiak	RW	23	2002-08-20	No	187 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Matias Maccelli	LW/RW	25	2000-10-14	No	185 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Matt Grzelcyk	D	31	1994-01-05	No	180 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Max Sasson	C/LW/RW	25	2000-09-05	No	181 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Michael Kesselring	D	25	2000-01-13	No	215 Lbs	6 ft5	No	No	No	4	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Michael Rasmussen	C/LW	26	1999-04-17	No	220 Lbs	6 ft6	No	No	No	4	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Nick Abruzzese	LW	26	1999-06-04	No	183 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Niko Huuhtanen	RW	22	2003-06-26	No	198 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Parker Ford	RW	25	2000-07-20	No	181 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Parker Gahagen	G	32	1993-05-17	No	195 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Patrick Brown	C/RW	33	1992-05-29	No	218 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	801,000$	0$	0$	No	Link / NHL Link
Peter DiLiberatore	D	25	2000-03-31	No	160 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Philip Kemp	D	26	1999-02-12	No	202 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Rhett Gardner	C	29	1996-02-28	No	210 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Riley Kidney	C	22	2003-03-25	No	181 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Roman Ahcan	LW	26	1999-03-24	No	170 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ronnie Attard	D	26	1999-03-20	No	208 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Samu Tuomaala	RW	22	2003-01-08	No	174 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Spencer Knight	G	24	2001-04-19	No	191 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Spencer Stastney	D	25	2000-01-04	No	184 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Ty Nelson	D	21	2004-03-30	No	195 Lbs	5 ft9	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Vasily Ponomarev	C	23	2002-03-13	No	180 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Wilmer Skoog	C	26	1999-07-17	No	196 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Wyatt Bongiovanni	LW	26	1999-07-24	No	194 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Yan Kuznetsov	D	23	2002-03-09	No	209 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
45	24.67	191 Lbs	6 ft1	2.36	497,800$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	John Leonard	Michael Rasmussen	Matias Maccelli	40	1	2	2
2	Bradly Nadeau	Bryce McConnell-Barker	Patrick Brown	30	1	2	2
3	Antonio Stranges	Max Sasson	Isak Rosen	20	1	2	2
4	Wyatt Bongiovanni	Vasily Ponomarev	Matias Maccelli	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	Henry Thrun	40	1	2	2
2	Jordan Harris	Ronnie Attard	30	1	2	2
3	Spencer Stastney	Isaiah George	20	1	2	2
4	Michael Kesselring	Henry Thrun	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	John Leonard	Michael Rasmussen	Matias Maccelli	60	1	2	2
2	Bradly Nadeau	Bryce McConnell-Barker	Patrick Brown	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	Henry Thrun	60	1	2	2
2	Jordan Harris	Ronnie Attard	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matias Maccelli	John Leonard	60	1	2	2
2	Bryce McConnell-Barker	Bradly Nadeau	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	Henry Thrun	60	1	2	2
2	Jordan Harris	Ronnie Attard	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	John Leonard	60	1	2	2	Michael Kesselring	Henry Thrun	60	1	2	2
2	Bryce McConnell-Barker	40	1	2	2	Jordan Harris	Ronnie Attard	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matias Maccelli	John Leonard	60	1	2	2
2	Bryce McConnell-Barker	Bradly Nadeau	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	Henry Thrun	60	1	2	2
2	Jordan Harris	Ronnie Attard	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
John Leonard	Michael Rasmussen	Matias Maccelli	Michael Kesselring	Henry Thrun

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
John Leonard	Michael Rasmussen	Matias Maccelli	Michael Kesselring	Henry Thrun

Extra Forwards
Normal	PowerPlay	Penalty Kill
John Leonard, Isak Rosen, Bradly Nadeau	John Leonard, Isak Rosen	John Leonard

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ronnie Attard, Spencer Stastney, Isaiah George	Ronnie Attard	Ronnie Attard, Spencer Stastney

Penalty Shots
Bradly Nadeau, Matias Maccelli, Bryce McConnell-Barker, Patrick Brown, John Leonard

Goalie
#1 : Spencer Knight, #2 : Parker Gahagen

Custom OT Lines Forwards
Patrick Brown, John Leonard, Matias Maccelli, Vasily Ponomarev, , Isak Rosen, Isak Rosen, Michael Rasmussen, Max Sasson, Bradly Nadeau, Antonio Stranges

Custom OT Lines Defensemen
Henry Thrun, Jordan Harris, Spencer Stastney, Ronnie Attard, Michael Kesselring

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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`)
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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.
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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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	10	W3	26	52	78	203	106	35	87	116	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	1	1	0	0	0	26	10

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	15	4

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	0	1	0	0	0	11	6

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	1	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
34	6	17.65%	40	4	90.00%	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
74	71	57	1	11	9	5	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
116	198	58.59%	88	156	56.41%	58	93	62.37%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
177	131	115	37	68	38

Last Played Games Show or Hide Column

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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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
9 - 2025-08-23	10	Checkers	0	Penguins	8	W		BoxScore
10 - 2025-08-24	25	Penguins	4	Thunderbirds	3	W	X	BoxScore
15 - 2025-08-29	36	Phantoms	3	Penguins	1	L		BoxScore
16 - 2025-08-30	51	Penguins	4	Phantoms	2	W		BoxScore
22 - 2025-09-05	72	Penguins	3	Crunch	1	W		BoxScore
23 - 2025-09-06	85	Crunch	1	Penguins	6	W		BoxScore
27 - 2025-09-10	105	Penguins	-	Islanders	-
30 - 2025-09-13	122	Wolfpack	-	Penguins	-
34 - 2025-09-17	144	Phantoms	-	Penguins	-
36 - 2025-09-19	152	Penguins	-	Phantoms	-
37 - 2025-09-20	157	Americans	-	Penguins	-
41 - 2025-09-24	186	Penguins	-	Phantoms	-
44 - 2025-09-27	204	Islanders	-	Penguins	-
50 - 2025-10-03	233	Islanders	-	Penguins	-
57 - 2025-10-10	272	Rocket	-	Penguins	-
58 - 2025-10-11	284	Penguins	-	Bears	-
62 - 2025-10-15	304	Bears	-	Penguins	-
65 - 2025-10-18	319	Penguins	-	Wolfpack	-
66 - 2025-10-19	333	Penguins	-	Bruins	-
69 - 2025-10-22	347	Checkers	-	Penguins	-
71 - 2025-10-24	356	Checkers	-	Penguins	-
72 - 2025-10-25	363	Thunderbirds	-	Penguins	-
76 - 2025-10-29	390	Marlies	-	Penguins	-
79 - 2025-11-01	413	Phantoms	-	Penguins	-
80 - 2025-11-02	427	Penguins	-	Bears	-
85 - 2025-11-07	431	Phantoms	-	Penguins	-
86 - 2025-11-08	441	Penguins	-	Bears	-
92 - 2025-11-14	474	Checkers	-	Penguins	-
93 - 2025-11-15	483	Wolfpack	-	Penguins	-
97 - 2025-11-19	502	Penguins	-	Marlies	-
99 - 2025-11-21	512	Penguins	-	Senators	-
101 - 2025-11-23	536	Penguins	-	Senators	-
104 - 2025-11-26	550	Penguins	-	Rocket	-
107 - 2025-11-29	566	Senators	-	Penguins	-
113 - 2025-12-05	604	Penguins	-	Comets	-
114 - 2025-12-06	615	Comets	-	Penguins	-
115 - 2025-12-07	629	Phantoms	-	Penguins	-
118 - 2025-12-10	638	Bears	-	Penguins	-
120 - 2025-12-12	647	Penguins	-	Checkers	-
121 - 2025-12-13	663	Penguins	-	Checkers	-
127 - 2025-12-19	681	Islanders	-	Penguins	-
128 - 2025-12-20	693	Monsters	-	Penguins	-
131 - 2025-12-23	706	Penguins	-	Bears	-
134 - 2025-12-26	724	Phantoms	-	Penguins	-
135 - 2025-12-27	732	Bears	-	Penguins	-
136 - 2025-12-28	745	Penguins	-	Phantoms	-
141 - 2026-01-02	768	Penguins	-	Wolfpack	-
142 - 2026-01-03	784	Penguins	-	Thunderbirds	-
143 - 2026-01-04	795	Penguins	-	Bruins	-
146 - 2026-01-07	808	Penguins	-	Americans	-
148 - 2026-01-09	815	Penguins	-	Crunch	-
149 - 2026-01-10	827	Penguins	-	Bears	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16	859	Penguins	-	Wolfpack	-
156 - 2026-01-17	874	Senators	-	Penguins	-
157 - 2026-01-18	886	Crunch	-	Penguins	-
160 - 2026-01-21	896	Bears	-	Penguins	-
162 - 2026-01-23	906	Penguins	-	Phantoms	-
164 - 2026-01-25	925	Penguins	-	Phantoms	-
169 - 2026-01-30	950	Bruins	-	Penguins	-
170 - 2026-01-31	961	Bears	-	Penguins	-
171 - 2026-02-01	972	Penguins	-	Islanders	-
174 - 2026-02-04	986	Wolfpack	-	Penguins	-
177 - 2026-02-07	1002	Penguins	-	Checkers	-
178 - 2026-02-08	1017	Penguins	-	Checkers	-
183 - 2026-02-13	1040	Penguins	-	Monsters	-
184 - 2026-02-14	1054	Penguins	-	Monsters	-
190 - 2026-02-20	1082	Bears	-	Penguins	-
191 - 2026-02-21	1093	Thunderbirds	-	Penguins	-
192 - 2026-02-22	1107	Penguins	-	Islanders	-
195 - 2026-02-25	1116	Bruins	-	Penguins	-
197 - 2026-02-27	1125	Penguins	-	Bears	-
198 - 2026-02-28	1139	Monsters	-	Penguins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	5,904	2,883
Attendance PCT	98.40%	96.10%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
33	2929 - 97.63%	73,300$	219,899$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
159,525$	224,010$	224,010$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	29,525$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,418,889$	174	6,120$	1,064,880$

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
12	82	50	13	0	8	3	6	2	279	141	138	41	25	6	0	4	1	4	1	137	72	65	41	25	7	0	4	2	2	1	142	69	73	133	279	482	761	0	10	0	107	91	67	2346	0	749	735	840	1674	505	1318	1720	552	78	14.13%	534	49	90.82%	7	1543	2670	57.79%	1357	2370	57.26%	665	1156	57.53%	2282	1635	1711	583	990	528
13	76	52	13	0	3	1	4	3	261	141	120	38	25	5	0	2	0	3	3	131	73	58	38	27	8	0	1	1	1	0	130	68	62	122	261	454	715	0	11	0	102	79	73	1923	0	614	662	626	1419	421	1170	1441	490	87	17.76%	463	53	88.55%	11	1470	2444	60.15%	1147	1968	58.28%	634	1100	57.64%	2199	1603	1498	518	909	490
14	76	31	27	0	3	3	5	7	182	142	40	38	16	11	0	2	1	3	5	97	72	25	38	15	16	0	1	2	2	2	85	70	15	88	182	323	505	0	5	0	66	56	52	1973	0	620	675	656	1717	486	1056	1475	351	39	11.11%	440	48	89.09%	3	1331	2406	55.32%	1225	2282	53.68%	550	1005	54.73%	2025	1443	1691	536	912	475
14	76	31	27	0	3	3	5	7	182	142	40	38	16	11	0	2	1	3	5	97	72	25	38	15	16	0	1	2	2	2	85	70	15	88	182	323	505	0	5	0	66	56	52	1973	0	620	675	656	1717	486	1056	1475	351	39	11.11%	440	48	89.09%	3	1331	2406	55.32%	1225	2282	53.68%	550	1005	54.73%	2025	1443	1691	536	912	475
14	76	31	27	0	3	3	5	7	182	142	40	38	16	11	0	2	1	3	5	97	72	25	38	15	16	0	1	2	2	2	85	70	15	88	182	323	505	0	5	0	66	56	52	1973	0	620	675	656	1717	486	1056	1475	351	39	11.11%	440	48	89.09%	3	1331	2406	55.32%	1225	2282	53.68%	550	1005	54.73%	2025	1443	1691	536	912	475
15	82	52	19	0	2	4	4	1	286	147	139	41	23	12	0	1	2	2	1	142	79	63	41	29	7	0	1	2	2	0	144	68	76	121	286	519	805	1	7	0	105	89	86	2390	0	815	737	821	1722	490	1084	1565	419	71	16.95%	454	57	87.44%	5	1591	2691	59.12%	1364	2343	58.22%	737	1182	62.35%	2286	1658	1704	556	967	515
15	82	52	19	0	2	4	4	1	286	147	139	41	23	12	0	1	2	2	1	142	79	63	41	29	7	0	1	2	2	0	144	68	76	121	286	519	805	1	7	0	105	89	86	2390	0	815	737	821	1722	490	1084	1565	419	71	16.95%	454	57	87.44%	5	1591	2691	59.12%	1364	2343	58.22%	737	1182	62.35%	2286	1658	1704	556	967	515
16	82	54	12	0	3	1	6	6	289	141	148	41	25	7	0	2	1	4	2	148	75	73	41	29	5	0	1	0	2	4	141	66	75	133	289	517	806	0	14	0	109	89	82	2321	0	759	770	769	1705	472	993	1430	432	108	25.00%	410	45	89.02%	2	1575	2596	60.67%	1252	2258	55.45%	723	1156	62.54%	2298	1669	1717	545	971	521
17	72	43	17	0	5	1	2	4	260	131	129	36	23	6	0	3	0	1	3	145	65	80	36	20	11	0	2	1	1	1	115	66	49	105	260	478	738	1	12	0	102	84	67	2181	0	679	723	742	1446	411	915	1286	389	82	21.08%	383	46	87.99%	4	1506	2350	64.09%	1177	1945	60.51%	666	1030	64.66%	2117	1563	1402	461	843	461
18	72	49	16	0	2	2	3	0	284	114	170	36	25	9	0	1	0	1	0	129	46	83	36	24	7	0	1	2	2	0	155	68	87	110	284	522	806	0	15	0	111	83	85	2313	0	769	697	835	1409	426	922	1376	384	87	22.66%	373	40	89.28%	5	1457	2296	63.46%	1159	1885	61.49%	613	1037	59.11%	2161	1610	1342	453	835	466
19	70	46	12	0	4	2	3	3	233	105	128	35	24	7	0	2	1	1	0	123	48	75	35	22	5	0	2	1	2	3	110	57	53	111	233	424	657	0	15	0	82	74	70	1868	0	604	601	648	1394	391	847	1239	366	60	16.39%	342	33	90.35%	5	1384	2158	64.13%	1179	1890	62.38%	607	982	61.81%	2088	1543	1329	458	829	461
20	6	4	1	0	1	0	0	0	26	10	16	3	2	1	0	0	0	0	0	15	4	11	3	2	0	0	1	0	0	0	11	6	5	10	26	52	78	0	1	11	9	5	1	203	74	71	57	1	106	35	87	116	34	6	17.65%	40	4	90.00%	2	116	198	58.59%	88	156	56.41%	58	93	62.37%	177	131	115	37	68	38
Total Regular Season	852	495	203	0	39	27	47	41	2750	1503	1247	426	243	98	0	22	10	27	26	1403	757	646	426	252	105	0	17	17	20	15	1347	746	601	1230	2750	4936	7686	3	107	11	1030	851	773	23854	74	7735	7744	8071	17748	5099	11588	16163	4538	767	16.90%	4773	528	88.94%	55	16226	27312	59.41%	13762	24004	57.33%	7090	11933	59.42%	23975	17403	17598	5779	10122	5426
Playoff
11	6	2	4	0	0	0	0	0	10	12	-2	3	1	2	0	0	0	0	0	6	7	-1	3	1	2	0	0	0	0	0	4	5	-1	4	10	18	28	0	2	0	4	4	2	144	0	53	42	44	122	27	130	169	48	5	10.42%	54	7	87.04%	0	100	202	49.50%	84	179	46.93%	37	79	46.84%	151	101	143	47	76	39
12	9	4	5	0	0	0	0	0	16	17	-1	5	3	2	0	0	0	0	0	11	8	3	4	1	3	0	0	0	0	0	5	9	-4	8	16	31	47	0	3	0	2	8	5	233	0	68	88	75	169	54	101	160	69	8	11.59%	41	5	87.80%	0	131	298	43.96%	119	257	46.30%	53	116	45.69%	240	171	192	68	109	57
13	15	8	7	0	0	0	0	0	38	37	1	8	5	3	0	0	0	0	0	23	16	7	7	3	4	0	0	0	0	0	15	21	-6	16	38	68	106	0	2	0	12	10	15	385	0	109	120	116	320	110	233	343	99	16	16.16%	105	18	82.86%	2	283	554	51.08%	251	454	55.29%	136	226	60.18%	418	290	373	121	200	102
15	14	10	4	0	0	0	0	0	38	25	13	7	5	2	0	0	0	0	0	17	13	4	7	5	2	0	0	0	0	0	21	12	9	20	38	69	107	0	2	0	14	9	13	342	0	100	112	107	306	93	226	247	99	10	10.10%	100	11	89.00%	0	218	453	48.12%	224	453	49.45%	99	206	48.06%	362	245	359	118	186	91
16	17	9	8	0	0	0	0	0	36	34	2	10	6	4	0	0	0	0	0	21	18	3	7	3	4	0	0	0	0	0	15	16	-1	18	36	67	103	2	2	0	12	12	10	378	0	121	121	131	417	113	185	281	86	17	19.77%	76	8	89.47%	0	270	524	51.53%	275	539	51.02%	115	224	51.34%	418	289	408	125	210	106
17	21	15	6	0	0	0	0	0	55	39	16	10	8	2	0	0	0	0	0	26	18	8	11	7	4	0	0	0	0	0	29	21	8	30	55	103	158	0	4	0	23	16	12	514	0	164	161	155	499	166	275	359	139	24	17.27%	116	15	87.07%	0	385	657	58.60%	365	664	54.97%	162	295	54.92%	554	383	501	161	270	140
18	11	5	6	0	0	0	0	0	25	18	7	6	2	4	0	0	0	0	0	14	11	3	5	3	2	0	0	0	0	0	11	7	4	10	25	43	68	0	2	0	10	7	6	257	0	80	92	79	233	65	146	184	79	6	7.59%	61	7	88.52%	0	169	336	50.30%	167	318	52.52%	78	146	53.42%	289	199	250	85	143	74
19	7	3	4	0	0	0	0	0	15	15	0	4	2	2	0	0	0	0	0	7	5	2	3	1	2	0	0	0	0	0	8	10	-2	6	15	29	44	0	2	0	4	2	9	187	0	62	63	58	156	55	61	148	47	10	21.28%	25	4	84.00%	0	167	241	69.29%	135	210	64.29%	72	97	74.23%	203	149	145	46	81	44
Total Playoff	100	56	44	0	0	0	0	0	233	197	36	53	32	21	0	0	0	0	0	125	96	29	47	24	23	0	0	0	0	0	108	101	7	112	233	428	661	2	19	0	81	68	72	2440	0	757	799	765	2222	683	1357	1891	666	96	14.41%	578	75	87.02%	2	1723	3265	52.77%	1620	3074	52.70%	752	1389	54.14%	2639	1831	2374	775	1279	655