Penguins
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Penguins 14-22-9, 37pts	5	FINAL	6	Marlies 19-22-4, 42pts

Team Stats
OTL1	Streak	L1
9-10-4	Home Record	13-8-2
5-12-5	Home Record	6-14-2
1-6-3	Last 10 Games	3-5-2
2.51	Goals Per Game	2.78
3.49	Goals Against Per Game	3.38
33.62%	Power Play Percentage	27.91%
66.67%	Penalty Kill Percentage	68.42%

Comets
25-17-4, 54pts

FINAL

Penguins
14-22-9, 37pts

Team Stats
W1	Streak	OTL1
12-7-3	Home Record	9-10-4
13-10-1	Home Record	5-12-5
6-4-0	Last 10 Games	1-6-3
2.74	Goals Per Game	2.51
2.91	Goals Against Per Game	3.49
29.91%	Power Play Percentage	33.62%
67.63%	Penalty Kill Percentage	66.67%

Griffins
27-16-3, 57pts

Day 57

Penguins
14-22-9, 37pts

Team Stats
W1	Streak	OTL1
13-10-0	Home Record	9-10-4
14-6-3	Away Record	5-12-5
7-2-1	Last 10 Games	1-6-3
3.20	Goals Per Game	2.51
3.07	Goals Against Per Game	2.51
34.15%	Power Play Percentage	33.62%
70.75%	Penalty Kill Percentage	66.67%

Penguins
14-22-9, 37pts

Day 58

Admirals
18-25-2, 38pts

Team Stats
OTL1	Streak	L1
9-10-4	Home Record	9-11-2
5-12-5	Away Record	9-14-0
1-6-3	Last 10 Games	3-7-0
2.51	Goals Per Game	2.16
3.49	Goals Against Per Game	2.16
33.62%	Power Play Percentage	23.23%
66.67%	Penalty Kill Percentage	62.59%

Penguins
14-22-9, 37pts

Day 59

Admirals
18-25-2, 38pts

Team Stats
OTL1	Streak	L1
9-10-4	Home Record	9-11-2
5-12-5	Away Record	9-14-0
1-6-3	Last 10 Games	3-7-0
2.51	Goals Per Game	2.16
3.49	Goals Against Per Game	2.16
33.62%	Power Play Percentage	23.23%
66.67%	Penalty Kill Percentage	62.59%

Team Leaders
	Goals Corey Andonovski 17	Assists Corey Andonovski 25

	Points Corey Andonovski 42	Plus/Minus Max Ellis 3

	Wins Jaxson Stauber 14	Save Percentage Jaxson Stauber 0.859

Team Stats
Goals For 113 2.51 GFG	Shots For 793 17.62 Avg	Power Play Percentage 33.6% 39 GF	Offensive Zone Start 33.2%
Goals Against 157 3.49 GAA	Shots Against 1086 24.13 Avg	Penalty Kill Percentage 66.7%% 40 GA	Defensive Zone Start 39.4%

Team Info
	General Manager	Scotty Mitchell
	Coach	Alex Burrows
	Division	Division 4
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,187
	Season Tickets	1,500
Roster Info
	Pro Team	23
	Farm Team	34
	Contract Limit	57 / 100
	Prospects	166

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Wade Allison (R)			X		100.00	77	76	75	61	76	72	77	55	50	47	58	62	55	52	52	58	31	58	0	27	3	1,397,000$
2	Colin Theisen		X			98.00	76	68	95	64	68	54	53	60	50	59	59	62	54	46	46	59	38	58	0	27	2	996,000$
3	Corey Andonovski			X		98.00	61	61	57	66	61	73	78	59	50	62	52	54	46	46	46	53	43	57	0	25	3	987,000$
4	Michael Milne (R)		X			100.00	70	67	77	61	68	63	64	59	50	57	57	59	54	45	45	58	34	57	0	22	2	950,000$
5	Greg Meireles	X				97.00	73	65	91	66	65	67	71	53	64	54	48	58	45	46	46	53	44	56	0	26	1	772,079$
6	Nolan Stevens	X	X			100.00	74	70	83	63	70	63	67	51	64	52	47	59	44	46	46	53	51	55	0	28	1	1,108,000$
7	Matthew Boucher		X			100.00	66	61	78	65	61	54	54	56	50	58	51	55	48	46	46	54	48	55	0	27	3	974,000$
8	Joel Teasdale		X	X		100.00	75	70	89	65	70	72	79	48	50	44	48	59	45	46	46	54	37	55	0	25	2	1,078,000$
9	Alexander Kisakov (R)		X			100.00	66	56	89	63	58	58	59	56	50	52	55	56	53	46	46	56	37	55	0	23	2	925,000$
10	Max Ellis			X		100.00	65	55	90	66	56	59	61	53	50	55	47	56	45	45	45	54	35	54	0	25	1	2,999,999$
11	Justin Hryckowian (R)	X				100.00	73	68	88	66	69	50	50	49	63	49	46	60	45	45	45	53	36	53	0	23	1	2,999,999$
12	Grant Cruikshank	X				100.00	75	67	92	65	67	51	52	49	61	47	47	60	44	44	44	53	19	53	0	26	1	2,999,999$
13	Alex Kannok Leipert				X	100.00	70	70	70	66	71	56	60	46	25	35	44	55	37	46	46	47	64	55	0	24	3	984,000$
14	Brenden Miller				X	100.00	65	72	44	65	72	57	60	48	25	39	40	55	39	45	45	47	36	54	0	30	1	2,999,999$
15	Akito Hirose				X	100.00	70	62	94	64	62	55	58	43	25	31	39	56	37	45	45	47	45	53	0	25	1	2,999,999$
16	Dmitri Kuzmin (R)				X	100.00	69	62	89	65	63	50	52	46	25	35	40	56	39	45	45	48	20	53	0	21	3	750,000$
17	Dennis Cesana				X	100.00	71	65	88	65	65	53	56	42	25	30	38	56	37	45	45	47	22	53	0	26	1	2,999,999$
18	Colin Felix				X	100.00	65	74	44	62	74	52	54	44	25	34	39	55	37	44	44	46	18	52	0	26	1	2,999,999$
Scratches
1	Roman Ahcan	X	X			100.00	65	61	74	65	61	70	75	56	68	50	57	55	53	46	46	56	37	56	0	25	3	986,000$
2	Adam Karashik				X	100.00	73	73	74	65	73	48	49	46	25	37	41	58	38	45	45	49	26	54	0	27	3	974,000$
3	Luke Krys				X	100.00	71	70	72	63	71	49	50	46	25	34	42	57	40	45	45	49	26	53	0	24	1	2,999,999$

	TEAM AVERAGE					99.67	70	66	79	64	67	58	61	51	44	46	47	57	45	46	46	52	36	55

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Jaxson Stauber	100.00	52	46	58	70	54	54	52	55	56	56	30	46	45	52	53	54	0	25	2	876,000$
2	Dustin Tokarski	100.00	49	52	65	74	47	48	50	54	49	48	30	44	44	50	53	52	0	35	1	2,999,999$
Scratches

	TEAM AVERAGE	100.00	51	49	62	72	51	51	51	55	53	52	30	45	45	51	53	53

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Alex Burrows	40	40	40	40	40	40	40	TUR	80	1	1,000,000$

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Corey Andonovski	Penguins (PIT)	RW	45	17	25	42	-13	97	35	78	83	136	32	77	12.50%	37	1058	23.53	5	11	16	27	84	0	4	4	6	67	0	2	45.63%	252	33	26	1	0.79	1	1	0	3	4	2	2	3
2	Greg Meireles	Penguins (PIT)	C	45	12	23	35	-17	29	25	56	86	63	18	38	19.05%	23	1007	22.39	6	9	15	14	83	0	0	0	3	56	0	1	50.00%	726	18	23	0	0.69	2	3	2	2	1	2	3	1
3	Roman Ahcan	Penguins (PIT)	C/LW	43	11	21	32	-16	27	5	64	86	62	13	39	17.74%	16	875	20.35	4	10	14	9	66	0	1	1	0	33	2	1	50.64%	389	13	13	0	0.73	2	5	0	1	0	1	3	2
4	Colin Theisen	Penguins (PIT)	LW	41	15	11	26	-21	25	25	45	70	96	23	43	15.63%	18	802	19.58	4	5	9	13	51	1	0	1	3	54	2	1	40.00%	45	27	13	0	0.65	0	1	1	2	2	5	0	2
5	Viktor Neuchev	Penguins	LW	31	10	14	24	3	10	10	28	46	59	17	37	16.95%	17	515	16.62	1	4	5	6	16	2	0	2	3	34	3	0	35.71%	28	19	18	0	0.93	0	1	2	0	0	1	1	3
6	Matthew Boucher	Penguins (PIT)	LW	45	11	12	23	-15	20	0	64	46	66	23	28	16.67%	8	673	14.96	6	6	12	15	60	0	0	0	0	1	2	2	39.42%	137	12	11	0	0.68	1	4	0	0	0	2	2	0
7	Alex Kannok Leipert	Penguins (PIT)	D	45	5	12	17	-16	93	55	62	97	51	16	17	9.80%	44	1180	26.22	3	3	6	9	83	0	0	0	2	82	0	0	0%	0	13	28	0	0.29	0	0	6	1	4	2	0	1
8	Nolan Stevens	Penguins (PIT)	C/LW	45	9	7	16	-14	49	45	50	65	37	13	25	24.32%	15	750	16.69	1	0	1	1	3	0	0	0	0	6	2	0	47.74%	243	10	14	0	0.43	0	0	4	3	2	0	0	0
9	Joel Teasdale	Penguins (PIT)	LW/RW	45	6	10	16	-20	12	10	60	70	36	8	22	16.67%	15	842	18.72	4	6	10	6	68	0	0	0	0	0	0	1	52.38%	21	8	12	0	0.38	0	0	0	2	0	0	1	0
10	Brenden Miller	Penguins (PIT)	D	45	0	12	12	-11	99	55	79	62	32	17	16	0%	52	1073	23.85	0	5	5	7	91	0	0	0	1	76	0	0	0%	0	11	29	0	0.22	0	0	2	5	4	1	0	0
11	Bobby Trivigno	Penguins	LW	38	4	6	10	0	11	5	21	41	25	11	15	16.00%	3	490	12.92	0	0	0	0	9	3	0	3	4	37	1	0	44.83%	29	7	7	0	0.41	0	0	0	0	1	2	0	0
12	Michael Milne	Penguins (PIT)	LW	33	5	4	9	-10	9	5	40	28	41	9	28	12.20%	4	372	11.28	2	2	4	14	30	0	0	0	0	9	0	0	55.56%	9	6	10	0	0.48	0	1	0	0	1	0	0	3
13	Alexander Kisakov	Penguins (PIT)	LW	45	1	5	6	-22	6	0	48	62	28	15	9	3.57%	35	980	21.79	1	3	4	2	63	0	1	1	3	22	0	0	30.00%	10	10	15	0	0.12	2	5	0	0	0	0	0	1
14	Max Ellis	Penguins (PIT)	RW	36	3	2	5	3	0	0	18	10	10	0	7	30.00%	1	188	5.24	0	0	0	0	1	0	0	0	0	0	0	1	66.67%	3	1	3	1	0.53	0	0	0	0	0	1	1	0
15	Adam Karashik	Penguins (PIT)	D	36	1	4	5	-10	65	15	47	50	22	6	6	4.55%	31	735	20.43	1	2	3	2	48	0	0	0	0	42	0	0	0%	0	8	12	0	0.14	0	0	1	0	2	0	0	0
16	Akito Hirose	Penguins (PIT)	D	45	1	3	4	-5	9	5	14	39	12	2	2	8.33%	16	590	13.12	1	0	1	1	27	0	0	0	1	59	0	0	0%	2	1	7	0	0.14	0	0	0	0	1	0	0	2
17	Justin Hryckowian	Penguins (PIT)	C	35	0	3	3	-3	0	0	8	12	3	2	5	0%	0	161	4.60	0	0	0	0	1	0	0	0	0	11	0	0	53.49%	43	0	3	0	0.37	0	0	0	0	0	0	0	0
18	Dennis Cesana	Penguins (PIT)	D	45	0	1	1	-15	7	5	22	41	7	3	2	0%	19	652	14.50	0	0	0	0	1	0	0	0	0	40	0	0	0%	0	2	13	0	0.03	0	0	0	0	1	0	0	0
19	Wade Allison	Penguins (PIT)	RW	7	0	0	0	-5	6	0	13	5	5	1	2	0%	1	96	13.76	0	0	0	0	1	0	0	0	0	0	0	0	47.06%	17	2	0	0	0	0	0	0	0	0	0	0	0
20	Dmitri Kuzmin	Penguins (PIT)	D	27	0	0	0	-6	0	0	6	8	1	0	1	0%	3	167	6.21	0	0	0	0	1	0	0	0	0	9	0	0	0%	2	0	3	0	0	0	0	0	0	0	0	0	0
21	Jeremy McKenna	Penguins	RW	2	0	0	0	0	0	0	1	1	0	0	0	0%	1	15	7.57	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0
22	Luke Krys	Penguins (PIT)	D	20	0	0	0	0	2	0	6	5	0	0	0	0%	3	91	4.59	0	0	0	0	2	0	0	0	0	22	0	0	0%	1	0	0	0	0	0	0	0	0	0	0	0	0
23	Matt Stienburg	Penguins	C	2	0	0	0	0	0	0	1	0	1	0	0	0%	0	9	4.92	0	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	0	0	0	0	0	0	0	0	0	0	0
24	Colin Felix	Penguins (PIT)	D	7	0	0	0	0	0	0	0	0	0	0	0	0%	0	12	1.73	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0
25	Ben Berard	Penguins	LW	9	0	0	0	0	0	0	1	0	0	0	0	0%	0	6	0.76	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0
26	Ethan De Jong	Penguins	RW	17	0	0	0	-1	0	0	4	6	0	0	0	0%	2	66	3.90	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	0	0	0	0	0	0	0	0	0	0	0
27	Grant Cruikshank	Penguins (PIT)	C	7	0	0	0	0	0	0	0	0	0	0	0	0%	0	8	1.19	0	0	0	0	0	0	0	0	0	0	0	0	0%	2	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				841	111	175	286	-214	576	300	836	1019	793	229	419	14.00%	364	13425	15.96	39	66	105	126	800	6	6	12	26	667	12	9	47.86%	1960	202	260	2	0.43	8	21	18	19	23	19	13	18

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2
1	Jaxson Stauber	Penguins (PIT)	45	14	19	9	0.859	3.25	2532	0	137	971	573	1	2	0.556	18	45	0	1	1
2	Dustin Tokarski	Penguins (PIT)	7	0	3	0	0.875	4.20	200	2	14	112	64	0	1	0	0	0	45	0	0
Team Total or Average			52	14	22	9	0.861	3.32	2733	2	151	1083	637	1	3		18	45	45	1	1

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	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	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Adam Karashik	Penguins (PIT)	D	27	1998-01-15	USA	No	201 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	974,000$	511,763$	0$	0$	No	974,000$	974,000$	-	-	-	-	-	-	-	974,000$	974,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Akito Hirose	Penguins (PIT)	D	25	1999-04-09	AB	No	169 Lbs	6 ft0	No	No	Free Agent	No	No	1	2024-10-17	False	False	Pro & Farm	2,999,999$	1,576,271$	0$	0$	No	-	-	-	-	-	-	-	-	-	787,500$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Alex Kannok Leipert	Penguins (PIT)	D	24	2000-07-20	THI	No	194 Lbs	6 ft0	No	No	N/A	No	No	3		False	False	Pro & Farm	984,000$	517,017$	0$	0$	No	984,000$	984,000$	-	-	-	-	-	-	-	984,000$	984,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Alexander Kisakov	Penguins (PIT)	LW	23	2002-01-11	RUS	Yes	150 Lbs	5 ft10	No	No	N/A	No	No	2		False	False	Pro & Farm	925,000$	486,017$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Brenden Miller	Penguins (PIT)	D	30	1994-03-29	ONT	No	198 Lbs	6 ft1	No	No	Free Agent	No	No	1	2024-10-17	False	False	Pro & Farm	2,999,999$	1,576,271$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Colin Felix	Penguins (PIT)	D	26	1999-01-07	USA	No	203 Lbs	6 ft1	No	No	Free Agent	No	No	1	2024-10-17	False	False	Pro & Farm	2,999,999$	1,576,271$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Colin Theisen	Penguins (PIT)	LW	27	1997-04-24	USA	No	187 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	996,000$	523,322$	0$	0$	No	996,000$	-	-	-	-	-	-	-	-	996,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Corey Andonovski	Penguins (PIT)	RW	25	1999-03-26	ONT	No	165 Lbs	5 ft11	No	No	N/A	No	No	3		False	False	Pro & Farm	987,000$	518,593$	0$	0$	No	987,000$	987,000$	-	-	-	-	-	-	-	987,000$	987,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Dennis Cesana	Penguins (PIT)	D	26	1998-04-04	USA	No	187 Lbs	5 ft9	No	No	Free Agent	No	No	1	2024-10-17	False	False	Pro & Farm	2,999,999$	1,576,271$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dmitri Kuzmin	Penguins (PIT)	D	21	2003-04-23	BLR	Yes	178 Lbs	5 ft9	No	No	Prospect	No	No	3	2024-09-17	False	False	Pro & Farm	750,000$	394,068$	0$	0$	No	750,000$	750,000$	-	-	-	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Dustin Tokarski	Penguins (PIT)	G	35	1989-09-15	SKW	No	205 Lbs	6 ft0	No	No	Free Agent	No	No	1	2024-10-17	False	False	Pro & Farm	2,999,999$	1,576,271$	0$	0$	No	-	-	-	-	-	-	-	-	-	1,054,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Grant Cruikshank	Penguins (PIT)	C	26	1998-07-19	USA	No	187 Lbs	5 ft11	No	No	Free Agent	No	No	1	2024-10-17	False	False	Pro & Farm	2,999,999$	1,576,271$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Greg Meireles	Penguins (PIT)	C	26	1999-01-01	ONT	No	181 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Pro & Farm	772,079$	405,669$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jaxson Stauber	Penguins (PIT)	G	25	1999-04-27	USA	No	175 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	876,000$	460,271$	0$	0$	No	876,000$	-	-	-	-	-	-	-	-	876,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Joel Teasdale	Penguins (PIT)	LW/RW	25	1999-03-11	QUE	No	196 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	1,078,000$	566,407$	0$	0$	No	1,078,000$	-	-	-	-	-	-	-	-	1,078,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Justin Hryckowian	Penguins (PIT)	C	23	2001-02-23	QUE	Yes	194 Lbs	5 ft10	No	No	Free Agent	No	No	1	2024-10-17	False	False	Pro & Farm	2,999,999$	1,576,271$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Luke Krys	Penguins (PIT)	D	24	2000-09-27	USA	No	185 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-17	False	False	Pro & Farm	2,999,999$	1,576,271$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matthew Boucher	Penguins (PIT)	LW	27	1997-12-17	USA	No	174 Lbs	5 ft9	No	No	N/A	No	No	3		False	False	Pro & Farm	974,000$	511,763$	0$	0$	No	974,000$	974,000$	-	-	-	-	-	-	-	974,000$	974,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Max Ellis	Penguins (PIT)	RW	25	2000-01-18	USA	No	150 Lbs	5 ft9	No	No	Free Agent	No	No	1	2024-10-17	False	False	Pro & Farm	2,999,999$	1,576,271$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Michael Milne	Penguins (PIT)	LW	22	2002-09-21	BC	Yes	185 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	950,000$	499,153$	0$	0$	No	950,000$	-	-	-	-	-	-	-	-	950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nolan Stevens	Penguins (PIT)	C/LW	28	1996-07-22	ONT	No	183 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	1,108,000$	582,169$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Roman Ahcan	Penguins (PIT)	C/LW	25	1999-03-24	USA	No	170 Lbs	5 ft9	No	No	N/A	No	No	3		False	False	Pro & Farm	986,000$	518,068$	0$	0$	No	986,000$	986,000$	-	-	-	-	-	-	-	986,000$	986,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Wade Allison	Penguins (PIT)	RW	27	1997-10-14	MB	Yes	205 Lbs	6 ft2	No	No	N/A	No	No	3		False	False	Pro & Farm	1,397,000$	734,017$	0$	0$	No	1,397,000$	1,397,000$	-	-	-	-	-	-	-	1,397,000$	1,397,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	25.74	184 Lbs	5 ft11	1.83	1,772,047$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nolan Stevens	Greg Meireles	Corey Andonovski	40	1	2	2
2	Colin Theisen	Wade Allison	Joel Teasdale	30	1	2	2
3	Corey Andonovski	Nolan Stevens	Colin Theisen	20	1	2	2
4	Alexander Kisakov	Corey Andonovski	Colin Theisen	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Alex Kannok Leipert	Brenden Miller	40	1	2	2
2	Dennis Cesana	Alexander Kisakov	30	1	2	2
3	Alex Kannok Leipert	Brenden Miller	20	1	2	2
4	Brenden Miller	Greg Meireles	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matthew Boucher	Greg Meireles	Corey Andonovski	60	1	2	2
2	Colin Theisen	Nolan Stevens	Joel Teasdale	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Alex Kannok Leipert	Brenden Miller	60	1	2	2
2	Akito Hirose	Alexander Kisakov	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Corey Andonovski	Colin Theisen	60	1	2	2
2	Alexander Kisakov	Greg Meireles	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Alex Kannok Leipert	Brenden Miller	60	1	2	2
2	Dennis Cesana	Akito Hirose	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Greg Meireles	60	1	2	2	Alex Kannok Leipert	Brenden Miller	60	1	2	2
2	Corey Andonovski	40	1	2	2	Dmitri Kuzmin	Akito Hirose	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Corey Andonovski	Alexander Kisakov	60	1	2	2
2	Colin Theisen	Greg Meireles	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Akito Hirose	Dennis Cesana	60	1	2	2
2	Brenden Miller	Dmitri Kuzmin	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Colin Theisen	Greg Meireles	Corey Andonovski	Alex Kannok Leipert	Brenden Miller

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Colin Theisen	Greg Meireles	Corey Andonovski	Alex Kannok Leipert	Brenden Miller

Extra Forwards
Normal	PowerPlay	Penalty Kill
Matthew Boucher, Corey Andonovski, Greg Meireles	Matthew Boucher, Greg Meireles	Greg Meireles

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Alex Kannok Leipert, Akito Hirose, Brenden Miller	Brenden Miller	Brenden Miller, Akito Hirose

Penalty Shots
Alexander Kisakov, Matthew Boucher, Colin Theisen, Greg Meireles, Corey Andonovski

Goalie
#1 : Jaxson Stauber, #2 : Dustin Tokarski

Custom OT Lines Forwards
Nolan Stevens, Greg Meireles, Colin Theisen, Corey Andonovski, Alexander Kisakov, Max Ellis, Max Ellis, Matthew Boucher, Joel Teasdale, Wade Allison, Michael Milne

Custom OT Lines Defensemen
Alex Kannok Leipert, Akito Hirose, Brenden Miller, Dennis Cesana, Dmitri Kuzmin

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Admirals	2	0	1	0	1	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	0	5	-5	1	0	0	0	1	0	0	0	2	1	1	2	0.500	2	4	6	0	0	16	36	55	11	16	155	284	331	43	24	14	25	30	2	1	50.00%	5	3	40.00%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
2	Americans	5	0	4	0	1	0	0	0	11	23	-12	2	0	1	0	1	0	0	0	5	6	-1	3	0	3	0	0	0	0	0	6	17	-11	2	0.200	11	18	29	0	0	16	36	55	11	105	155	284	331	43	159	51	121	103	18	7	38.89%	18	5	72.22%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
3	Bears	2	1	0	0	0	1	0	0	8	7	1	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	8	12	20	0	0	16	36	55	11	29	155	284	331	43	47	24	16	38	3	0	0.00%	8	2	75.00%	1	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
4	Bruins	1	0	1	0	0	0	0	0	0	3	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	16	36	55	11	12	155	284	331	43	36	15	0	15	2	0	0.00%	0	0	0%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
5	Checkers	5	2	1	0	0	1	0	1	13	12	1	3	1	1	0	0	1	0	0	8	8	0	2	1	0	0	0	0	0	1	5	4	1	6	0.600	13	19	32	0	0	16	36	55	11	94	155	284	331	43	121	31	55	105	13	3	23.08%	15	6	60.00%	1	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
6	Comets	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	1	2	0	0	16	36	55	11	10	155	284	331	43	20	7	5	12	1	1	100.00%	0	0	0%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
7	Eagles	3	1	1	0	0	0	0	1	7	8	-1	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	0	0	1	6	5	1	3	0.500	7	13	20	0	0	16	36	55	11	67	155	284	331	43	68	21	53	57	7	2	28.57%	9	3	66.67%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
8	Griffins	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	9	14	0	0	16	36	55	11	58	155	284	331	43	54	21	24	49	5	1	20.00%	7	3	57.14%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
9	Gulls	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	1	0	16	36	55	11	23	155	284	331	43	33	9	14	18	3	2	66.67%	2	2	0.00%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
10	Heat	4	0	0	0	1	0	2	1	12	10	2	2	0	0	0	0	0	2	0	5	3	2	2	0	0	0	1	0	0	1	7	7	0	7	0.875	12	17	29	0	0	16	36	55	11	63	155	284	331	43	44	15	25	87	7	4	57.14%	5	1	80.00%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
11	IceHogs	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	2	1	1	2	1.000	2	4	6	0	0	16	36	55	11	10	155	284	331	43	8	1	4	19	1	1	100.00%	2	0	100.00%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
12	Marlies	3	0	3	0	0	0	0	0	9	17	-8	1	0	1	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	6	9	-3	0	0.000	9	13	22	0	0	16	36	55	11	48	155	284	331	43	65	18	73	52	10	5	50.00%	9	3	66.67%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
13	Monsters	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	1	2	0	0	16	36	55	11	13	155	284	331	43	15	8	9	19	1	0	0.00%	2	0	100.00%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
14	Moose	2	1	1	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	5	7	-2	2	0.500	11	19	30	0	0	16	36	55	11	41	155	284	331	43	37	12	32	32	6	3	50.00%	6	2	66.67%	1	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
15	Reign	2	0	1	0	0	1	0	0	5	9	-4	2	0	1	0	0	1	0	0	5	9	-4	0	0	0	0	0	0	0	0	0	0	0	1	0.250	5	6	11	0	0	16	36	55	11	43	155	284	331	43	50	19	11	27	6	3	50.00%	3	1	66.67%	1	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
16	Rocket	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	1	2	0	0	16	36	55	11	8	155	284	331	43	36	13	7	18	0	0	0%	1	0	100.00%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
17	Stars	4	1	2	0	0	1	0	0	10	15	-5	2	1	1	0	0	0	0	0	6	7	-1	2	0	1	0	0	1	0	0	4	8	-4	3	0.375	10	16	26	1	0	16	36	55	11	64	155	284	331	43	90	33	28	72	16	2	12.50%	10	5	50.00%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
18	Thunderbirds	3	1	2	0	0	0	0	0	10	13	-3	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	4	6	-2	2	0.333	10	14	24	1	0	16	36	55	11	70	155	284	331	43	118	33	70	46	10	3	30.00%	15	2	86.67%	2	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
19	Wild	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	2	3	5	0	0	16	36	55	11	11	155	284	331	43	33	10	6	13	3	1	33.33%	3	2	33.33%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
20	Wolves	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	16	36	55	11	8	155	284	331	43	28	9	0	24	2	0	0.00%	0	0	0%	0	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
	Total	45	8	22	0	4	6	2	3	113	157	-44	23	6	10	0	1	4	2	0	59	73	-14	22	2	12	0	3	2	0	3	54	84	-30	37	0.411	113	175	288	3	0	16	36	55	11	793	155	284	331	43	1086	364	578	836	116	39	33.62%	120	40	66.67%	6	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
	_Since Last GM Reset	45	8	22	0	4	6	2	3	113	157	-44	23	6	10	0	1	4	2	0	59	73	-14	22	2	12	0	3	2	0	3	54	84	-30	37	0.411	113	175	288	3	0	16	36	55	11	793	155	284	331	43	1086	364	578	836	116	39	33.62%	120	40	66.67%	6	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
	_Vs Conference	37	8	17	0	3	4	2	3	103	133	-30	19	6	8	0	1	2	2	0	54	62	-8	18	2	9	0	2	2	0	3	49	71	-22	33	0.446	103	160	263	2	0	16	36	55	11	698	155	284	331	43	877	292	533	698	103	34	33.01%	110	36	67.27%	6	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537
	_Vs Division	5	5	10	0	3	2	2	3	10	13	-3	4	3	5	0	1	1	2	0	7	9	-2	1	2	5	0	2	1	0	3	3	4	-1	25	2.500	10	14	24	0	0	16	36	55	11	60	155	284	331	43	110	48	30	93	7	1	14.29%	10	2	80.00%	1	306	639	47.89%	364	759	47.96%	268	526	50.95%	737	262	901	504	1095	537

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
45	37	OTL1	113	175	288	793	1086	364	578	836	3	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
45	8	22	4	6	2	3	113	157

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	6	10	1	4	2	0	59	73

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
22	2	12	3	2	0	3	54	84

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	6	0	2	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
116	39	33.62%	120	40	66.67%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
155	284	331	43	16	36	55	11

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
306	639	47.89%	364	759	47.96%	268	526	50.95%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
737	262	901	504	1095	537

Last Played Games Show or Hide Columns

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
1	13	Stars	4	Penguins	5	W			BoxScore
3	28	Penguins	4	Americans	8	L			BoxScore
4	44	Penguins	5	Eagles	3	W			BoxScore
5	49	Penguins	4	Heat	3	W	X		BoxScore
6	58	Heat	2	Penguins	3	W	X	X	BoxScore
7	83	Thunderbirds	5	Penguins	1	L			BoxScore
8	95	Penguins	5	Moose	7	L			BoxScore
9	110	Moose	1	Penguins	6	W			BoxScore
11	129	Admirals	5	Penguins	0	L			BoxScore
12	137	Penguins	4	Checkers	2	W			BoxScore
13	149	Penguins	2	Admirals	1	W	X		BoxScore
15	174	Checkers	1	Penguins	4	W			BoxScore
16	194	Eagles	3	Penguins	1	L			BoxScore
17	205	Penguins	1	Griffins	3	L			BoxScore
18	224	Griffins	2	Penguins	4	W			BoxScore
20	238	Penguins	2	Stars	5	L			BoxScore
21	257	Bears	3	Penguins	5	W			BoxScore
22	270	Penguins	2	Stars	3	L	X		BoxScore
23	287	Stars	3	Penguins	1	L			BoxScore
25	303	Penguins	1	Rocket	4	L			BoxScore
26	317	Thunderbirds	2	Penguins	5	W			BoxScore
27	334	Penguins	3	Bears	4	L	X		BoxScore
28	347	Penguins	1	Americans	5	L			BoxScore
29	361	Americans	3	Penguins	1	L			BoxScore
31	378	Penguins	2	Wild	5	L			BoxScore
32	392	Reign	5	Penguins	2	L			BoxScore
34	413	Checkers	4	Penguins	3	L	X		BoxScore
35	434	Heat	1	Penguins	2	W	X	X	BoxScore
36	446	Penguins	1	Americans	4	L			BoxScore
38	463	Penguins	2	IceHogs	1	W	X		BoxScore
39	474	Penguins	1	Checkers	2	L	X	X	BoxScore
40	487	Gulls	5	Penguins	3	L			BoxScore
42	507	Monsters	2	Penguins	1	L	X		BoxScore
43	518	Penguins	1	Eagles	2	L	X	X	BoxScore
44	536	Checkers	3	Penguins	1	L			BoxScore
45	552	Penguins	4	Thunderbirds	6	L			BoxScore
46	568	Americans	3	Penguins	4	W	X		BoxScore
48	587	Penguins	3	Heat	4	L	X	X	BoxScore
49	603	Penguins	0	Bruins	3	L			BoxScore
50	615	Marlies	8	Penguins	3	L			BoxScore
51	631	Penguins	1	Marlies	3	L			BoxScore
52	643	Wolves	2	Penguins	0	L			BoxScore
53	662	Reign	4	Penguins	3	L	X		BoxScore
55	686	Penguins	5	Marlies	6	L			BoxScore
56	696	Comets	2	Penguins	1	L	X		BoxScore
57	719	Griffins	-	Penguins	-
58	727	Penguins	-	Admirals	-
59	744	Penguins	-	Admirals	-
61	757	Bears	-	Penguins	-
63	779	Penguins	-	Moose	-
64	789	Marlies	-	Penguins	-
65	804	Penguins	-	Eagles	-
66	821	Eagles	-	Penguins	-
67	839	Penguins	-	Roadrunners	-
68	848	Eagles	-	Penguins	-
70	872	Stars	-	Penguins	-
71	884	Penguins	-	Stars	-
72	901	Penguins	-	Griffins	-
74	911	Roadrunners	-	Penguins	-
75	927	Penguins	-	Thunderbirds	-
76	941	Penguins	-	Roadrunners	-
77	952	Islanders	-	Penguins	-
78	967	Penguins	-	Islanders	-
80	985	Americans	-	Penguins	-
81	1001	Penguins	-	Reign	-
82	1016	Wolf Pack	-	Penguins	-
83	1027	Penguins	-	Heat	-
84	1046	Heat	-	Penguins	-
85	1062	Silver Knights	-	Penguins	-
87	1080	Penguins	-	Bears	-
88	1094	Penguins	-	Phantoms	-
89	1108	Roadrunners	-	Penguins	-
90	1127	Islanders	-	Penguins	-
92	1152	Wolf Pack	-	Penguins	-
93	1158	Penguins	-	Reign	-
94	1176	Penguins	-	Condors	-
95	1187	Penguins	-	Checkers	-
96	1194	Penguins	-	Wolf Pack	-
Trade Deadline --- Trades can’t be done after this day is simulated!
97	1207	Admirals	-	Penguins	-
99	1231	Comets	-	Penguins	-
100	1247	Penguins	-	Moose	-
101	1263	Phantoms	-	Penguins	-
102	1275	Penguins	-	Islanders	-
103	1288	Crunch	-	Penguins	-
105	1309	Admirals	-	Penguins	-
106	1322	Penguins	-	Canucks	-
107	1334	Penguins	-	Barracuda	-
109	1356	Phantoms	-	Penguins	-
110	1367	Penguins	-	Phantoms	-
112	1384	Moose	-	Penguins	-
115	1406	Penguins	-	Senators	-
117	1426	Moose	-	Penguins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	32,447	17,843
Attendance PCT	70.54%	77.58%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
23	2187 - 72.88%	90,909$	2,090,903$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
2,222,491$	4,075,708$	4,075,708$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
34,540$	1,747,900$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,090,903$	62	43,014$	2,666,868$

Penguins Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Penguins Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Penguins Career Team Stats

Show or Hide Columns

	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

Penguins Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Penguins Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Penguins
	GP: 45 \| W: 14 \| L: 22 \| OTL: 9 \| P: 37 GF: 113 \| GA: 157 \| PP%: 33.62% \| PK%: 66.67% GM : Scotty Mitchell \| Morale : 33 \| Team Overall : 55 Next Games #719 vs Griffins