Wilkes-Barre/Scranton Penguins
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension
Career Team Stat

Game Center
	Carolina Hurricanes 36-16-3, 75pts	3	FINAL	2	Pittsburgh Penguins 22-22-6, 50pts

Team Stats
SOW1	Streak	L1
18-6-2	Home Record	11-13-3
18-10-1	Away Record	11-9-3
5-5-0	Last 10 Games	5-2-3
2.11	Goals Per Game	1.88
1.69	Goals Against Per Game	2.26
9.97%	Power Play Percentage	9.12%
92.21%	Penalty Kill Percentage	88.68%

San Jose Sharks
23-24-5, 51pts

FINAL

Pittsburgh Penguins
22-22-6, 50pts

Team Stats
W3	Streak	L1
10-13-3	Home Record	11-13-3
13-11-2	Away Record	11-9-3
6-3-1	Last 10 Games	5-2-3
1.96	Goals Per Game	1.88
2.33	Goals Against Per Game	2.26
10.62%	Power Play Percentage	9.12%
86.87%	Penalty Kill Percentage	88.68%

Pittsburgh Penguins
22-22-6, 50pts

Day 163

Columbus Blue Jackets
18-24-11, 47pts

Team Stats
L1	Streak	OTW1
11-13-3	Home Record	12-9-5
11-9-3	Away Record	6-15-6
5-2-3	Last 10 Games	4-6-0
1.88	Goals Per Game	1.72
2.26	Goals Against Per Game	1.72
9.12%	Power Play Percentage	12.09%
88.68%	Penalty Kill Percentage	89.03%

Columbus Blue Jackets
18-24-11, 47pts

Day 166

Pittsburgh Penguins
22-22-6, 50pts

Team Stats
OTW1	Streak	L1
12-9-5	Home Record	11-13-3
6-15-6	Away Record	11-9-3
4-6-0	Last 10 Games	5-2-3
1.72	Goals Per Game	1.88
2.34	Goals Against Per Game	1.88
12.09%	Power Play Percentage	9.12%
89.03%	Penalty Kill Percentage	88.68%

Pittsburgh Penguins
22-22-6, 50pts

Day 168

Tampa Bay Lightning
29-6-17, 75pts

Team Stats
L1	Streak	SOL1
11-13-3	Home Record	19-1-6
11-9-3	Away Record	10-5-11
5-2-3	Last 10 Games	6-0-4
1.88	Goals Per Game	2.12
2.26	Goals Against Per Game	2.12
9.12%	Power Play Percentage	8.92%
88.68%	Penalty Kill Percentage	89.00%

Team Leaders
	Goals Sidney Crosby 17	Assists Kris Letang 23

	Points Sidney Crosby 36	Plus/Minus Evgeni Malkin 8

	Wins Tristan Jarry 22	Save Percentage Tristan Jarry 0.865

Team Stats
Goals For 94 1.88 GFG	Shots For 781 15.62 Avg	Power Play Percentage 9.1% 25 GF	Offensive Zone Start 39.0%
Goals Against 113 2.26 GAA	Shots Against 804 16.08 Avg	Penalty Kill Percentage 88.7%% 36 GA	Defensive Zone Start 39.9%

Team Info
	General Manager	PIT Name
	Division	Metropolitan
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	Consol Energy Center
	Capacity	18,000
	Attendance	16,639
	Season Tickets	7,200
Roster Info
	Pro Team	20
	Farm Team	24
	Contract Limit	44 / 250
	Prospects	0
Salary Cap
	Estimated Season Salary Cap	71,030,548$
	Available Salary Cap	26,969,452$
	Special Salary Cap Value	0$
	Players In Salary Cap	20
Finance
	Year to Date Revenue	31,717,490$
	Year To Date Expenses	45,359,539$
	Estimated Season Revenue	16,446,106$
	Estimated Season Expenses	25,671,009$
	Current Bank Account	49,171,786$
	Projected Bank Account	39,110,408$

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	Sidney Crosby	X				100.00	73	43	82	89	72	84	93	95	94	90	88	64	73	89	97	84	43	80	0	36	2	7,500,000$
2	Evgeni Malkin	X				100.00	67	42	72	85	74	79	79	96	81	89	84	65	65	87	95	81	43	78	0	37	1	7,801,000$
3	Rickard Rakell		X	X		100.00	82	44	93	86	71	79	93	88	41	79	85	59	85	74	75	81	28	75	0	31	2	5,672,000$
4	Jonathan Huberdeau		X	X		100.00	71	43	86	86	74	75	97	80	34	83	71	62	66	77	79	74	43	73	0	30	2	4,911,000$
5	Bryan Rust		X	X		100.00	77	53	88	82	69	78	88	75	44	76	76	72	80	72	75	77	44	72	0	31	1	4,500,000$
6	Michael Bunting		X			100.00	75	53	66	79	71	72	98	74	44	76	79	61	75	62	63	75	43	70	0	28	1	2,951,000$
7	Lars Eller	X				100.00	76	44	84	79	76	68	95	61	92	62	62	81	61	82	87	69	43	69	0	35	1	2,723,000$
8	Noel Acciari	X		X		100.00	97	57	91	74	71	67	67	60	86	61	71	82	25	66	69	73	43	67	0	32	1	1,839,000$
9	Trent Frederic		X	X		100.00	78	95	79	76	77	62	87	61	38	64	73	71	25	62	63	71	41	66	0	26	2	1,465,000$
10	Emil Bemstrom		X	X		100.00	61	41	96	82	70	62	78	69	37	72	64	60	25	61	61	67	43	65	0	24	2	891,000$
11	Alexander Nylander		X	X		100.00	78	71	94	73	71	79	83	66	50	61	68	67	65	44	44	69	43	65	0	26	2	1,278,000$
12	Jesse Puljujarvi			X		100.00	84	59	87	80	77	62	87	65	25	62	58	62	25	62	63	65	52	64	0	26	1	1,064,000$
13	Kris Letang				X	100.00	90	46	86	88	73	92	88	90	25	70	60	79	61	84	92	75	43	78	0	37	1	7,516,000$
14	Erik Karlsson				X	100.00	63	41	86	87	70	95	83	91	25	84	69	72	59	83	83	78	43	75	0	33	1	5,772,000$
15	Ryan Graves				X	100.00	76	45	88	81	84	80	94	59	25	57	50	90	75	66	68	67	43	73	0	28	2	3,300,000$
16	Marcus Pettersson				X	100.00	85	65	76	81	69	81	87	60	25	66	47	84	25	67	69	66	45	72	0	28	1	3,722,000$
17	Pierre-Olivier Joseph				X	100.00	77	44	83	72	70	67	87	66	25	55	49	69	25	56	56	62	43	65	0	24	2	1,298,000$
18	Darren Raddysh				X	100.00	80	44	91	67	73	70	83	61	25	50	48	67	25	55	55	60	33	63	0	28	1	1,106,000$
Scratches

	TEAM AVERAGE					100.00	77	52	85	80	73	75	87	73	45	70	67	70	52	69	72	72	42	71

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	Tristan Jarry	100.00	75	82	79	76	75	75	83	75	79	75	75	63	64	77	30	74	0	29	1	4,410,000$
2	Alex Nedeljkovic	100.00	61	67	65	70	69	52	69	61	65	60	75	56	57	63	55	62	0	28	2	1,370,000$
Scratches

	TEAM AVERAGE	100.00	68	75	72	73	72	64	76	68	72	68	75	60	61	70	43	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Sidney Crosby	Pittsburgh Penguins	C	50	17	19	36	5	36	0	55	140	125	30	72	13.60%	3	1242	24.85	5	5	10	29	211	0	2	2	3	282	5	5	58.55%	1433	0.58	1	7	0	0	0	6	6	0
2	Kris Letang	Pittsburgh Penguins	D	50	6	23	29	-13	130	0	120	58	58	20	38	10.34%	51	1231	24.63	5	13	18	44	231	0	0	0	0	237	0	0	0%	0	0.47	0	0	0	0	0	0	2	3
3	Evgeni Malkin	Pittsburgh Penguins	C	50	14	13	27	8	20	0	34	100	89	24	64	15.73%	8	1121	22.42	2	4	6	18	211	3	1	4	5	284	2	1	55.02%	856	0.48	2	7	0	0	0	4	2	3
4	Erik Karlsson	Pittsburgh Penguins	D	50	5	21	26	-12	14	0	19	63	53	17	33	9.43%	40	1285	25.72	3	9	12	36	232	0	2	2	1	288	1	1	0%	0	0.40	0	0	0	0	0	1	2	1
5	Bryan Rust	Pittsburgh Penguins	LW/RW	50	6	14	20	4	19	5	20	34	64	19	52	9.38%	3	783	15.66	0	5	5	18	219	0	0	0	0	0	0	0	42.59%	54	0.51	1	2	0	0	1	0	1	1
6	Jonathan Huberdeau	Pittsburgh Penguins	LW/RW	50	7	11	18	1	28	0	49	37	57	11	38	12.28%	7	926	18.54	1	5	6	13	217	0	0	0	3	158	2	0	32.65%	49	0.39	2	4	0	0	0	1	2	3
7	Rickard Rakell	Pittsburgh Penguins	LW/RW	50	9	8	17	2	14	0	45	60	72	18	53	12.50%	1	1021	20.44	4	0	4	21	242	0	0	0	2	208	1	0	41.38%	116	0.33	3	8	0	0	0	1	2	2
8	Marcus Pettersson	Pittsburgh Penguins	D	50	3	12	15	4	94	10	96	30	31	11	16	9.68%	21	1058	21.18	2	0	2	22	206	1	1	2	1	207	0	0	0%	0	0.28	0	0	0	0	2	1	3	0
9	Ryan Graves	Pittsburgh Penguins	D	50	5	8	13	4	22	0	37	43	22	6	25	22.73%	42	1080	21.61	3	1	4	18	206	0	1	1	0	234	2	0	0%	0	0.24	0	1	0	0	0	1	1	3
10	Michael Bunting	Pittsburgh Penguins	LW	50	6	5	11	-18	32	0	36	45	56	16	31	10.71%	2	655	13.11	0	0	0	1	16	0	0	0	0	0	1	1	46.43%	28	0.34	0	1	0	0	0	1	0	1
11	Trent Frederic	Pittsburgh Penguins	LW/RW	50	5	5	10	-15	92	30	34	40	40	15	24	12.50%	2	679	13.60	0	0	0	0	11	0	0	0	0	34	2	1	39.29%	28	0.29	0	0	2	1	3	0	0	1
12	Lars Eller	Pittsburgh Penguins	C	50	2	8	10	-16	32	0	34	70	41	14	32	4.88%	10	734	14.69	0	0	0	0	0	0	1	1	0	97	1	0	55.73%	576	0.27	0	0	0	0	0	1	0	1
13	Pierre-Olivier Joseph	Pittsburgh Penguins	D	50	1	7	8	0	88	0	84	13	6	4	5	16.67%	17	646	12.93	0	0	0	0	15	0	0	0	0	11	0	0	0%	0	0.25	0	0	0	0	0	0	0	0
14	Noel Acciari	Pittsburgh Penguins	C/RW	50	2	5	7	3	64	10	98	33	47	10	34	4.26%	2	816	16.32	1	2	3	15	212	0	0	0	0	27	0	0	55.56%	63	0.17	0	0	1	1	0	0	0	0
15	Darren Raddysh	Pittsburgh Penguins	D	23	0	2	2	5	38	0	21	4	3	0	1	0%	9	330	14.37	0	0	0	0	4	0	0	0	0	51	0	0	0%	0	0.12	0	0	0	0	0	0	1	0
16	Emil Bemstrom	Pittsburgh Penguins	LW/RW	50	0	2	2	2	4	0	1	11	9	7	7	0%	2	214	4.29	0	0	0	0	0	0	0	0	0	2	0	0	50.00%	8	0.19	0	0	0	0	0	0	0	0
17	Alexander Nylander	Pittsburgh Penguins	LW/RW	50	2	0	2	2	11	5	18	8	13	4	6	15.38%	1	211	4.23	0	0	0	0	0	0	0	0	0	0	1	0	28.57%	14	0.19	0	0	0	0	0	0	0	0
18	Jesse Puljujarvi	Pittsburgh Penguins	RW	23	0	0	0	-1	2	0	4	2	1	0	1	0%	0	45	1.98	0	0	0	0	17	0	0	0	0	1	0	0	40.00%	25	0	0	0	0	0	0	0	0	0
Team Total or Average				846	90	163	253	-35	740	60	805	791	787	226	532	11.44%	221	14086	16.65	26	44	70	235	2259	4	8	12	15	2127	18	9	55.23%	3250	0.36	9	30	3	2	6	17	22	19

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	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2
1	Tristan Jarry	Pittsburgh Penguins	50	22	22	6	0.865	2.15	2934	2	3	105	775	4	3	0.655	29	50	0	2	2
2	Alex Nedeljkovic	Pittsburgh Penguins	5	0	0	0	0.962	0.61	98	0	0	1	26	0	0	0	0	0	50	0	0
Team Total or Average			55	22	22	6	0.868	2.10	3032	2	3	106	801	4	3		29	50	50	2	2

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	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 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
Alex Nedeljkovic	Pittsburgh Penguins	G	28	1996-01-07	No	189 Lbs	6 ft0	No	No	Assign Manually	No	No	2	2024-03-25	False	False	Pro & Farm	1,370,000$	1,370,000$	494,722$	No	1,370,000$	-	-	-	-	-	-	-	-	1,370,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Alexander Nylander	Pittsburgh Penguins	LW/RW	26	1998-03-02	No	192 Lbs	6 ft1	No	No	Assign Manually	No	Yes	2	2024-03-25	False	False	Pro & Farm	1,278,000$	1,278,000$	461,500$	No	1,278,000$	-	-	-	-	-	-	-	-	1,278,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Bryan Rust	Pittsburgh Penguins	LW/RW	31	1992-05-10	No	192 Lbs	5 ft11	No	No	Assign Manually	No	Yes	1	2024-03-22	False	False	Pro & Farm	4,500,000$	4,500,000$	1,625,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Darren Raddysh	Pittsburgh Penguins	D	28	1996-02-28	No	201 Lbs	6 ft0	No	No	Trade	No	Yes	1	2024-03-25	False	False	Pro & Farm	1,106,000$	1,106,000$	399,389$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Emil Bemstrom	Pittsburgh Penguins	LW/RW	24	1999-06-01	No	190 Lbs	6 ft0	No	No	Assign Manually	No	No	2	2024-03-22	False	False	Pro & Farm	891,000$	891,000$	321,750$	No	891,000$	-	-	-	-	-	-	-	-	891,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Erik Karlsson	Pittsburgh Penguins	D	33	1990-05-31	No	190 Lbs	6 ft0	No	No	Assign Manually	No	Yes	1	2024-03-25	False	False	Pro & Farm	5,772,000$	5,772,000$	2,084,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Evgeni Malkin	Pittsburgh Penguins	C	37	1986-07-31	No	195 Lbs	6 ft3	No	No	Assign Manually	No	Yes	1	2024-03-25	False	False	Pro & Farm	7,801,000$	7,801,000$	2,817,028$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jesse Puljujarvi	Pittsburgh Penguins	RW	26	1998-05-07	No	201 Lbs	6 ft4	No	No	Assign Manually	No	Yes	1	2024-03-25	False	False	Pro & Farm	1,064,000$	1,064,000$	384,222$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jonathan Huberdeau	Pittsburgh Penguins	LW/RW	30	1993-06-04	No	202 Lbs	6 ft1	No	No	Trade	No	Yes	2	2024-03-25	False	False	Pro & Farm	4,911,000$	4,911,000$	1,773,417$	No	4,911,000$	-	-	-	-	-	-	-	-	4,911,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Kris Letang	Pittsburgh Penguins	D	37	1987-04-24	No	201 Lbs	6 ft0	No	No	Assign Manually	No	Yes	1	2024-03-25	False	False	Pro & Farm	7,516,000$	7,516,000$	2,714,111$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Lars Eller	Pittsburgh Penguins	C	35	1989-05-08	No	205 Lbs	6 ft2	No	No	Assign Manually	No	Yes	1	2024-03-25	False	False	Pro & Farm	2,723,000$	2,723,000$	983,306$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Marcus Pettersson	Pittsburgh Penguins	D	28	1996-05-08	No	177 Lbs	6 ft3	No	No	Assign Manually	No	Yes	1	2024-03-25	False	False	Pro & Farm	3,722,000$	3,722,000$	1,344,056$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Michael Bunting	Pittsburgh Penguins	LW	28	1995-09-17	No	197 Lbs	5 ft11	No	No	Assign Manually	No	Yes	1	2024-03-25	False	False	Pro & Farm	2,951,000$	2,951,000$	1,065,639$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Noel Acciari	Pittsburgh Penguins	C/RW	32	1991-12-01	No	203 Lbs	5 ft10	No	No	Assign Manually	No	Yes	1	2024-03-25	False	False	Pro & Farm	1,839,000$	1,839,000$	664,083$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Pierre-Olivier Joseph	Pittsburgh Penguins	D	24	1999-07-01	No	185 Lbs	6 ft2	No	No	Assign Manually	No	No	2	2024-03-25	False	False	Pro & Farm	1,298,000$	1,298,000$	468,722$	No	1,298,000$	-	-	-	-	-	-	-	-	1,298,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Rickard Rakell	Pittsburgh Penguins	LW/RW	31	1993-05-05	No	196 Lbs	6 ft0	No	No	Trade	No	Yes	2	2024-03-25	False	False	Pro & Farm	5,672,000$	5,672,000$	2,048,222$	No	5,672,000$	-	-	-	-	-	-	-	-	5,672,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Graves	Pittsburgh Penguins	D	28	1995-05-21	No	220 Lbs	6 ft5	No	No	Assign Manually	No	Yes	2	2024-03-22	False	False	Pro & Farm	3,300,000$	3,300,000$	1,191,667$	No	3,300,000$	-	-	-	-	-	-	-	-	3,300,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Sidney Crosby	Pittsburgh Penguins	C	36	1987-08-07	No	200 Lbs	5 ft11	No	No	Assign Manually	No	Yes	2	2024-03-22	False	False	Pro & Farm	7,500,000$	7,500,000$	2,708,333$	No	7,500,000$	-	-	-	-	-	-	-	-	7,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Trent Frederic	Pittsburgh Penguins	LW/RW	26	1998-02-11	No	203 Lbs	6 ft2	No	No	Trade	No	Yes	2	2024-03-25	False	False	Pro & Farm	1,465,000$	1,465,000$	529,028$	No	1,465,000$	-	-	-	-	-	-	-	-	1,465,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Tristan Jarry	Pittsburgh Penguins	G	29	1995-04-25	No	194 Lbs	6 ft2	No	No	Assign Manually	No	Yes	1	2024-03-22	False	False	Pro & Farm	4,410,000$	4,410,000$	1,592,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	29.85	197 Lbs	6 ft1	1.45	3,554,450$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
71,089,000$	27,685,000$	0$	0$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Rickard Rakell	Sidney Crosby	Jonathan Huberdeau	40	1	2	2
2	Bryan Rust	Evgeni Malkin	Noel Acciari	30	1	2	2
3	Michael Bunting	Lars Eller	Trent Frederic	20	1	2	2
4	Emil Bemstrom	Sidney Crosby	Alexander Nylander	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kris Letang	Erik Karlsson	40	1	2	2
2	Ryan Graves	Marcus Pettersson	30	1	2	2
3	Pierre-Olivier Joseph	Darren Raddysh	20	1	2	2
4	Kris Letang	Erik Karlsson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Rickard Rakell	Sidney Crosby	Jonathan Huberdeau	60	1	2	2
2	Bryan Rust	Evgeni Malkin	Noel Acciari	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kris Letang	Erik Karlsson	60	1	2	2
2	Ryan Graves	Marcus Pettersson	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sidney Crosby	Evgeni Malkin	60	1	2	2
2	Rickard Rakell	Jonathan Huberdeau	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kris Letang	Erik Karlsson	60	1	2	2
2	Ryan Graves	Marcus Pettersson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Sidney Crosby	60	1	2	2	Kris Letang	Erik Karlsson	60	1	2	2
2	Evgeni Malkin	40	1	2	2	Ryan Graves	Marcus Pettersson	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sidney Crosby	Evgeni Malkin	60	1	2	2
2	Rickard Rakell	Jonathan Huberdeau	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kris Letang	Erik Karlsson	60	1	2	2
2	Ryan Graves	Marcus Pettersson	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Rickard Rakell	Sidney Crosby	Jonathan Huberdeau	Kris Letang	Erik Karlsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Rickard Rakell	Sidney Crosby	Jonathan Huberdeau	Kris Letang	Erik Karlsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jesse Puljujarvi, Michael Bunting, Lars Eller	Jesse Puljujarvi, Michael Bunting	Lars Eller

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Pierre-Olivier Joseph, Darren Raddysh, Ryan Graves	Pierre-Olivier Joseph	Darren Raddysh, Ryan Graves

Penalty Shots
Sidney Crosby, Evgeni Malkin, Rickard Rakell, Jonathan Huberdeau, Bryan Rust

Goalie
#1 : Tristan Jarry, #2 : Alex Nedeljkovic

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

Custom OT Lines Defensemen
, , , ,

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	Anaheim Ducks	2	0	2	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	3	6	9	0	0	0	2	1	0	26	8	9	9	0	41	13	24	36	12	0	0.00%	12	0	100.00%	1	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	47	32	48	13	24	12
2	Arizona Coyotes	2	1	1	0	0	0	0	0	3	4	-1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	0	3	-3	2	0.500	3	5	8	0	0	1	0	2	0	24	9	8	7	0	36	14	28	31	10	2	20.00%	13	1	92.31%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	42	27	54	14	23	10
3	Buffalo Sabres	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	3	5	0	0	1	0	1	0	17	3	7	7	0	11	7	16	23	4	0	0.00%	8	1	87.50%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	22	15	25	7	12	6
4	Calgary Flames	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	0	2	-2	1	1	0	0	0	0	0	0	3	2	1	2	0.500	3	6	9	0	0	0	2	1	0	23	6	8	9	0	32	14	40	34	12	0	0.00%	18	1	94.44%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	49	34	47	15	23	11
5	Carolina Hurricanes	4	0	2	0	0	1	0	1	4	11	-7	2	0	1	0	0	1	0	0	2	5	-3	2	0	1	0	0	0	0	1	2	6	-4	2	0.250	4	8	12	0	0	1	2	1	0	60	20	17	23	3	64	19	71	60	26	2	7.69%	26	3	88.46%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	99	68	100	29	47	23
6	Chicago Blackhawks	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	2	2	0	0	20	11	7	2	0	11	4	14	19	7	2	28.57%	7	0	100.00%	1	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	26	19	21	6	12	6
7	Colorado Avalanche	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	0	1	0	0	17	5	6	6	0	23	4	16	20	9	1	11.11%	8	1	87.50%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	21	14	26	7	12	5
8	Columbus Blue Jackets	4	3	0	0	0	0	1	0	9	3	6	2	1	0	0	0	0	1	0	4	1	3	2	2	0	0	0	0	0	0	5	2	3	8	1.000	9	15	24	0	1	4	2	2	3	74	32	20	21	6	67	19	46	52	24	3	12.50%	21	2	90.48%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	103	74	93	29	47	23
9	Dallas Stars	2	0	2	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	1	0	0	0	22	13	2	7	0	32	10	38	31	9	1	11.11%	17	3	82.35%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	44	30	51	15	24	12
10	Detroit Red Wings	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	0	0	1	0	13	2	7	4	0	23	4	19	16	3	0	0.00%	6	2	66.67%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	20	14	28	6	10	5
11	Florida Panthers	2	0	2	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	1	2	3	1	0	0	0	1	0	28	8	8	12	0	29	12	52	30	12	0	0.00%	15	1	93.33%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	43	27	50	16	25	11
12	Los Angeles Kings	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	0	4	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	13	7	2	4	0	12	3	12	19	6	0	0.00%	5	1	80.00%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	21	15	27	6	10	5
13	Minnesota Wild	2	0	1	0	0	0	0	1	2	4	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	1	0	0	0	0	0	0	1	-1	1	0.250	2	4	6	0	0	2	0	0	0	38	14	18	5	3	33	11	42	39	10	1	10.00%	18	0	100.00%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	53	35	46	15	24	12
14	Nashville Predators	1	0	0	0	0	1	0	0	0	1	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	1	-1	1	0.500	0	0	0	0	0	0	0	0	0	18	3	13	2	0	13	4	14	10	6	0	0.00%	7	0	100.00%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	26	18	22	7	12	5
15	New Jersey Devils	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	6	10	0	0	1	0	2	2	13	6	1	4	5	22	4	8	19	4	1	25.00%	4	1	75.00%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	25	18	26	7	12	6
16	New York Islanders	2	0	1	0	0	0	0	1	5	8	-3	2	0	1	0	0	0	0	1	5	8	-3	0	0	0	0	0	0	0	0	0	0	0	1	0.250	5	8	13	0	0	2	1	2	0	38	13	8	12	9	42	8	27	36	12	4	33.33%	11	3	72.73%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	47	32	52	14	25	13
17	New York Rangers	6	1	2	0	1	0	1	1	14	15	-1	2	1	0	0	0	0	1	0	5	3	2	4	0	2	0	1	0	0	1	9	12	-3	7	0.583	14	23	37	0	0	5	3	4	4	101	31	23	44	14	101	26	73	93	33	4	12.12%	33	5	84.85%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	152	108	147	42	70	35
18	Ottawa Senators	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	0	1	0	16	4	9	3	0	14	5	18	12	4	0	0.00%	8	0	100.00%	1	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	21	14	26	7	12	6
19	Philadelphia Flyers	2	2	0	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	2	2	0	0	0	0	0	0	8	6	2	4	1.000	8	16	24	0	0	6	0	2	0	28	14	5	9	0	37	14	30	30	9	1	11.11%	15	2	86.67%	1	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	41	28	54	15	23	11
20	San Jose Sharks	1	0	1	0	0	0	0	0	0	1	-1	1	0	1	0	0	0	0	0	0	1	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	11	1	2	8	0	6	2	10	16	5	0	0.00%	5	1	80.00%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	24	16	21	8	13	7
21	St. Louis Blues	2	2	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	4	1.000	5	9	14	0	0	3	1	1	0	32	17	8	7	0	31	3	35	36	17	1	5.88%	13	1	92.31%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	52	36	43	15	24	12
22	Toronto Maple Leafs	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	1	0	0	0	1	0	18	8	6	4	0	13	8	8	19	3	0	0.00%	3	1	66.67%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	24	18	22	6	12	6
23	Vancouver Canucks	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	2	4	4	1.000	9	17	26	0	0	2	2	5	0	43	11	13	19	0	20	8	46	37	7	1	14.29%	13	2	84.62%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	49	33	46	14	24	12
24	Vegas Golden Knights	2	2	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	2	0	2	4	1.000	7	13	20	0	1	4	3	0	0	25	8	10	7	0	28	10	28	26	8	0	0.00%	13	1	92.31%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	47	30	48	16	24	12
25	Washington Capitals	3	2	1	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	1	3	-2	2	2	0	0	0	0	0	0	5	1	4	4	0.667	6	11	17	1	1	1	3	2	0	50	15	18	17	0	41	10	35	43	19	1	5.26%	13	1	92.31%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	81	58	59	22	39	20
26	Winnipeg Jets	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	0	5	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	13	6	3	4	0	22	5	12	20	3	0	0.00%	6	2	66.67%	0	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	21	13	24	7	13	7
	Total	50	18	22	0	1	2	3	4	94	113	-19	27	8	13	0	0	1	3	2	48	66	-18	23	10	9	0	1	1	0	2	46	47	-1	50	0.500	94	169	263	3	3	36	24	30	9	781	275	238	256	40	804	241	762	807	274	25	9.12%	318	36	88.68%	4	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	1212	836	1217	372	607	302
	_Since Last GM Reset	50	18	22	0	1	2	3	4	94	113	-19	27	8	13	0	0	1	3	2	48	66	-18	23	10	9	0	1	1	0	2	46	47	-1	50	0.500	94	169	263	3	3	36	24	30	9	781	275	238	256	40	804	241	762	807	274	25	9.12%	318	36	88.68%	4	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	1212	836	1217	372	607	302
	_Vs Conference	28	9	11	0	1	1	3	3	56	65	-9	15	3	7	0	0	1	3	1	27	36	-9	13	6	4	0	1	0	0	2	29	29	0	30	0.536	56	97	153	3	2	21	11	20	9	456	156	129	160	37	464	136	403	433	153	16	10.46%	163	22	86.50%	2	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	684	478	687	206	340	169
	_Vs Division	22	8	6	0	1	1	3	3	50	50	0	10	2	3	0	0	1	3	1	21	23	-2	12	6	3	0	1	0	0	2	29	27	2	28	0.636	50	87	137	1	2	20	11	15	9	364	131	92	130	37	374	100	290	333	127	16	12.60%	123	17	86.18%	1	701	1282	54.68%	743	1314	56.54%	389	695	55.97%	551	388	533	161	266	133

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
50	50	L1	94	169	263	781	804	241	762	807	3	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
50	18	22	1	2	3	4	94	113

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	8	13	0	1	3	2	48	66

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
23	10	9	1	1	0	2	46	47

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	2	0	1	0	2

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
274	25	9.12%	318	36	88.68%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
275	238	256	40	36	24	30	9

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
701	1282	54.68%	743	1314	56.54%	389	695	55.97%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1212	836	1217	372	607	302

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
2	8	Columbus Blue Jackets	0	Pittsburgh Penguins	2	W			BoxScore
4	21	Pittsburgh Penguins	2	Columbus Blue Jackets	1	W			BoxScore
8	37	Pittsburgh Penguins	1	New York Rangers	3	L			BoxScore
12	59	New York Rangers	2	Pittsburgh Penguins	3	W	X	X	BoxScore
14	68	Pittsburgh Penguins	3	New York Rangers	2	W	X		BoxScore
17	81	Columbus Blue Jackets	1	Pittsburgh Penguins	2	W	X	X	BoxScore
21	104	Pittsburgh Penguins	3	Washington Capitals	1	W			BoxScore
23	116	Washington Capitals	3	Pittsburgh Penguins	1	L			BoxScore
25	125	Pittsburgh Penguins	2	Carolina Hurricanes	3	L	X	X	BoxScore
28	145	Pittsburgh Penguins	5	Philadelphia Flyers	4	W			BoxScore
30	156	Carolina Hurricanes	2	Pittsburgh Penguins	0	L			BoxScore
34	182	New York Islanders	4	Pittsburgh Penguins	2	L			BoxScore
39	202	Arizona Coyotes	1	Pittsburgh Penguins	3	W			BoxScore
43	224	Pittsburgh Penguins	3	New York Rangers	4	L			BoxScore
45	237	New Jersey Devils	3	Pittsburgh Penguins	4	W	X	X	BoxScore
49	262	St. Louis Blues	2	Pittsburgh Penguins	3	W			BoxScore
51	276	Pittsburgh Penguins	0	Carolina Hurricanes	3	L			BoxScore
54	291	Pittsburgh Penguins	4	Chicago Blackhawks	2	W			BoxScore
56	303	Minnesota Wild	3	Pittsburgh Penguins	2	L	X	X	BoxScore
59	315	Pittsburgh Penguins	0	Minnesota Wild	1	L			BoxScore
62	331	New York Rangers	1	Pittsburgh Penguins	2	W			BoxScore
66	355	Pittsburgh Penguins	0	Arizona Coyotes	3	L			BoxScore
69	369	Ottawa Senators	3	Pittsburgh Penguins	1	L			BoxScore
72	385	Pittsburgh Penguins	1	Colorado Avalanche	2	L			BoxScore
75	400	Anaheim Ducks	4	Pittsburgh Penguins	3	L			BoxScore
77	410	Pittsburgh Penguins	0	Anaheim Ducks	2	L			BoxScore
80	430	Pittsburgh Penguins	6	Vancouver Canucks	2	W			BoxScore
82	438	Dallas Stars	4	Pittsburgh Penguins	0	L			BoxScore
87	463	Pittsburgh Penguins	0	Nashville Predators	1	L	X		BoxScore
88	470	Los Angeles Kings	4	Pittsburgh Penguins	0	L			BoxScore
91	491	Pittsburgh Penguins	3	Philadelphia Flyers	2	W			BoxScore
93	500	Florida Panthers	3	Pittsburgh Penguins	1	L			BoxScore
96	516	Pittsburgh Penguins	1	Dallas Stars	3	L			BoxScore
99	531	Vegas Golden Knights	1	Pittsburgh Penguins	5	W			BoxScore
104	558	Winnipeg Jets	5	Pittsburgh Penguins	0	L			BoxScore
107	571	Pittsburgh Penguins	2	Vegas Golden Knights	0	W			BoxScore
112	592	Calgary Flames	2	Pittsburgh Penguins	0	L			BoxScore
116	610	Pittsburgh Penguins	0	Florida Panthers	2	L			BoxScore
118	624	Detroit Red Wings	3	Pittsburgh Penguins	1	L			BoxScore
123	653	Vancouver Canucks	2	Pittsburgh Penguins	3	W			BoxScore
129	681	Toronto Maple Leafs	3	Pittsburgh Penguins	1	L			BoxScore
133	700	Pittsburgh Penguins	2	New York Rangers	3	L	X	X	BoxScore
135	711	Buffalo Sabres	1	Pittsburgh Penguins	2	W			BoxScore
137	718	Pittsburgh Penguins	2	Washington Capitals	0	W			BoxScore
142	746	New York Islanders	4	Pittsburgh Penguins	3	L	X	X	BoxScore
144	755	Pittsburgh Penguins	3	Columbus Blue Jackets	1	W			BoxScore
146	766	Pittsburgh Penguins	3	Calgary Flames	2	W			BoxScore
149	779	St. Louis Blues	1	Pittsburgh Penguins	2	W			BoxScore
154	805	Carolina Hurricanes	3	Pittsburgh Penguins	2	L	X		BoxScore
159	835	San Jose Sharks	1	Pittsburgh Penguins	0	L			BoxScore
163	853	Pittsburgh Penguins	-	Columbus Blue Jackets	-
166	867	Columbus Blue Jackets	-	Pittsburgh Penguins	-
168	878	Pittsburgh Penguins	-	Tampa Bay Lightning	-
171	898	Colorado Avalanche	-	Pittsburgh Penguins	-
176	931	Boston Bruins	-	Pittsburgh Penguins	-
178	943	Pittsburgh Penguins	-	San Jose Sharks	-
181	962	Chicago Blackhawks	-	Pittsburgh Penguins	-
186	987	Pittsburgh Penguins	-	St. Louis Blues	-
188	996	Washington Capitals	-	Pittsburgh Penguins	-
191	1009	Pittsburgh Penguins	-	Ottawa Senators	-
193	1027	New Jersey Devils	-	Pittsburgh Penguins	-
196	1036	Pittsburgh Penguins	-	Toronto Maple Leafs	-
201	1060	Philadelphia Flyers	-	Pittsburgh Penguins	-
Trade Deadline --- Trades can’t be done after this day is simulated!
207	1090	Philadelphia Flyers	-	Pittsburgh Penguins	-
213	1121	Montreal Canadiens	-	Pittsburgh Penguins	-
219	1153	Edmonton Oilers	-	Pittsburgh Penguins	-
221	1162	Pittsburgh Penguins	-	Los Angeles Kings	-
223	1173	Pittsburgh Penguins	-	Detroit Red Wings	-
225	1186	Tampa Bay Lightning	-	Pittsburgh Penguins	-
226	1191	Pittsburgh Penguins	-	Seattle Kraken	-
229	1208	Pittsburgh Penguins	-	Winnipeg Jets	-
231	1217	Seattle Kraken	-	Pittsburgh Penguins	-
233	1225	Pittsburgh Penguins	-	Montreal Canadiens	-
236	1241	Pittsburgh Penguins	-	Buffalo Sabres	-
237	1245	Pittsburgh Penguins	-	New Jersey Devils	-
238	1251	Nashville Predators	-	Pittsburgh Penguins	-
241	1270	Pittsburgh Penguins	-	New York Islanders	-
244	1282	Arizona Coyotes	-	Pittsburgh Penguins	-
245	1283	Pittsburgh Penguins	-	Boston Bruins	-
248	1295	Pittsburgh Penguins	-	Edmonton Oilers	-
249	1303	Pittsburgh Penguins	-	New York Islanders	-
250	1306	Pittsburgh Penguins	-	New Jersey Devils	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	149,895	124,237	49,992	100,002	25,120
Attendance PCT	92.53%	92.03%	92.58%	92.59%	93.04%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
14	16639 - 92.44%	1,174,722$	31,717,490$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
45,359,539$	71,089,000$	71,089,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
282,099$	45,359,539$	0$	20	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
16,446,106$	91	282,099$	25,671,009$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
26,507,484$	49,171,786$	39,110,408$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
71,030,548$	26,969,452$	98,000,000$	71,030,548$

Depth Chart

Left Wing

Center

Right Wing

Rickard Rakell	AGE:31	PO:81	OV:75
Jonathan Huberdeau	AGE:30	PO:74	OV:73
Bryan Rust	AGE:31	PO:77	OV:72
Michael Bunting	AGE:28	PO:75	OV:70
Trent Frederic	AGE:26	PO:71	OV:66
Alexander Nylander	AGE:26	PO:69	OV:65
Emil Bemstrom	AGE:24	PO:67	OV:65
Carl Grundstrom	AGE:26	PO:71	OV:64
Drew O'Connor	AGE:25	PO:66	OV:63
Radim Zohorna	AGE:28	PO:63	OV:63
Valtteri Puustinen	AGE:24	PO:66	OV:62
Joona Koppanen	AGE:26	PO:63	OV:61
Jonathan Gruden (R)	AGE:24	PO:61	OV:59
Samuel Poulin (R)	AGE:23	PO:60	OV:56
Raivis Ansons (R)	AGE:22	PO:54	OV:54

Sidney Crosby	AGE:36	PO:84	OV:80
Evgeni Malkin	AGE:37	PO:81	OV:78
Lars Eller	AGE:35	PO:69	OV:69
Noel Acciari	AGE:32	PO:73	OV:67
Colin White	AGE:27	PO:64	OV:63
Radim Zohorna	AGE:28	PO:63	OV:63
Joona Koppanen	AGE:26	PO:63	OV:61
Peter Abbandonato	AGE:26	PO:63	OV:60
Justin Sourdif (R)	AGE:22	PO:59	OV:57
Samuel Poulin (R)	AGE:23	PO:60	OV:56
Lukas Svejkovsky (R)	AGE:22	PO:55	OV:55

Rickard Rakell	AGE:31	PO:81	OV:75
Jonathan Huberdeau	AGE:30	PO:74	OV:73
Bryan Rust	AGE:31	PO:77	OV:72
Noel Acciari	AGE:32	PO:73	OV:67
Trent Frederic	AGE:26	PO:71	OV:66
Alexander Nylander	AGE:26	PO:69	OV:65
Emil Bemstrom	AGE:24	PO:67	OV:65
Carl Grundstrom	AGE:26	PO:71	OV:64
Jesse Puljujarvi	AGE:26	PO:65	OV:64
Colin White	AGE:27	PO:64	OV:63
Radim Zohorna	AGE:28	PO:63	OV:63
Justin Addamo (R)	AGE:25	PO:62	OV:58
Austin Rueschhoff	AGE:26	PO:58	OV:58
Marc Johnstone	AGE:27	PO:57	OV:57
Corey Andonovski	AGE:25	PO:55	OV:53

Defense #1

Defense #2

Goalie

Kris Letang	AGE:37	PO:75	OV:78
Erik Karlsson	AGE:33	PO:78	OV:75
Ryan Graves	AGE:28	PO:67	OV:73
Marcus Pettersson	AGE:28	PO:66	OV:72
Pierre-Olivier Joseph	AGE:24	PO:62	OV:65
Darren Raddysh	AGE:28	PO:60	OV:63
Xavier Ouellet	AGE:30	PO:56	OV:62

Jack Rathbone	AGE:24	PO:60	OV:61
Taylor Fedun	AGE:35	PO:54	OV:61
Ryan Shea	AGE:27	PO:55	OV:59
Dmitri Samorukov	AGE:24	PO:53	OV:59
John Ludvig (R)	AGE:24	PO:51	OV:55
Jack St. Ivany (R)	AGE:24	PO:50	OV:55

Tristan Jarry	AGE:29	PO:77	OV:74
Alex Nedeljkovic	AGE:28	PO:63	OV:62
Taylor Gauthier (R)	AGE:23	PO:56	OV:56

Prospects

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

Prospect	Team Name	Draft Year	Overall Pick	Information	Last Trade Date	Link

Draft Picks

Year	R1	R2	R3	R4	R5
5
6
7
8
9
Conditional Draft Picks

No News Found in News Database. Please create a news.

Pittsburgh Penguins Trade History

[3/25/2024 9:37:16 PM] - Carl Grundstrom was added to Pittsburgh Penguins.
[3/25/2024 9:37:16 PM] - Justin Sourdif was added to Pittsburgh Penguins.
[3/25/2024 9:37:16 PM] - Darren Raddysh was added to Pittsburgh Penguins.
[3/25/2024 9:37:16 PM] - Rickard Rakell was added to Pittsburgh Penguins.
[3/25/2024 9:33:32 PM] - Christian Wolanin was added to Pittsburgh Penguins.
[3/25/2024 9:33:32 PM] - Patrik Laine was added to Pittsburgh Penguins.
[3/25/2024 9:33:24 PM] - Taylor Gauthier resigned with Pittsburgh Penguins for $972,000 for 2 year(s).
[3/25/2024 9:33:24 PM] - Alex Nedeljkovic resigned with Pittsburgh Penguins for $1,370,000 for 2 year(s).
[3/25/2024 9:33:24 PM] - Lars Eller resigned with Pittsburgh Penguins for $2,723,000 for 1 year(s).
[3/25/2024 9:33:24 PM] - Taylor Fedun resigned with Pittsburgh Penguins for $1,049,000 for 2 year(s).
[3/25/2024 9:33:24 PM] - Justin Addamo resigned with Pittsburgh Penguins for $941,000 for 3 year(s).
[3/25/2024 9:33:24 PM] - Austin Rueschhoff resigned with Pittsburgh Penguins for $936,000 for 3 year(s).
[3/25/2024 9:33:24 PM] - Jonathan Huberdeau resigned with Pittsburgh Penguins for $4,911,000 for 2 year(s).
[3/25/2024 9:33:24 PM] - Pierre-Olivier Joseph resigned with Pittsburgh Penguins for $1,298,000 for 2 year(s).
[3/25/2024 9:33:24 PM] - Raivis Ansons resigned with Pittsburgh Penguins for $847,000 for 3 year(s).
[3/25/2024 9:33:24 PM] - Lukas Svejkovsky resigned with Pittsburgh Penguins for $857,000 for 3 year(s).
[3/25/2024 9:33:24 PM] - Evgeni Malkin resigned with Pittsburgh Penguins for $7,801,000 for 1 year(s).
[3/25/2024 9:33:24 PM] - John Ludvig resigned with Pittsburgh Penguins for $895,000 for 3 year(s).
[3/25/2024 9:33:24 PM] - Corey Andonovski resigned with Pittsburgh Penguins for $884,000 for 3 year(s).
[3/25/2024 9:33:24 PM] - Jack St. Ivany resigned with Pittsburgh Penguins for $892,000 for 2 year(s).
[3/25/2024 9:33:24 PM] - Marc Johnstone resigned with Pittsburgh Penguins for $915,000 for 2 year(s).
[3/25/2024 9:33:24 PM] - Trent Frederic resigned with Pittsburgh Penguins for $1,465,000 for 2 year(s).
[3/25/2024 9:32:08 PM] - Joe Palmer contract with Wilkes-Barre/Scranton Penguins has ended.
[3/25/2024 9:32:08 PM] - Bobby Sanguinetti contract with Pittsburgh Penguins has ended.
[3/25/2024 9:27:37 PM] - Wilkes-Barre/Scranton Penguins was eliminated at round 1 of year 3.
[3/25/2024 9:26:00 PM] - Pittsburgh Penguins didn't make playoff for year 3.
[3/25/2024 9:19:17 PM] - Trent Frederic was added to Pittsburgh Penguins.
[3/25/2024 9:19:17 PM] - Nils Hoglander was added to Pittsburgh Penguins.
[3/25/2024 9:19:17 PM] - Samuel Bolduc was added to Pittsburgh Penguins.

No Injury or Suspension.

Pittsburgh 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

Pittsburgh 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

Pittsburgh 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

Pittsburgh 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

Pittsburgh 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

	Pittsburgh Penguins
	GP: 50 \| W: 22 \| L: 22 \| OTL: 6 \| P: 50 GF: 94 \| GA: 113 \| PP%: 9.12% \| PK%: 88.68% GM : PIT Name \| Morale : 30 \| Team Overall : 70 Next Games #853 vs Columbus Blue Jackets