Salt Lake City Lynx
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension
Career Team Stat

Game Center
	New York Islanders 20-15-4, 44pts	6	FINAL	1	Pittsburgh Penguins 14-21-4, 32pts

Team Stats
L2	Streak	L3
8-7-3	Home Record	8-9-3
12-8-1	Away Record	6-12-1
3-6-1	Last 10 Games	4-6-0
2.64	Goals Per Game	2.44
2.74	Goals Against Per Game	3.00
20.17%	Power Play Percentage	18.80%
80.00%	Penalty Kill Percentage	76.34%

Pittsburgh Penguins
14-21-4, 32pts

FINAL

Detroit Red Wings
23-10-5, 51pts

Team Stats
L3	Streak	W2
8-9-3	Home Record	16-3-2
6-12-1	Away Record	7-7-3
4-6-0	Last 10 Games	7-2-1
2.44	Goals Per Game	3.11
3.00	Goals Against Per Game	2.68
18.80%	Power Play Percentage	22.81%
76.34%	Penalty Kill Percentage	80.45%

Pittsburgh Penguins
14-21-4, 32pts

Day 92

Florida Panthers
19-16-4, 42pts

Team Stats
L3	Streak	W3
8-9-3	Home Record	12-6-2
6-12-1	Away Record	7-10-2
4-6-0	Last 10 Games	6-3-1
2.44	Goals Per Game	2.85
3.00	Goals Against Per Game	2.85
18.80%	Power Play Percentage	30.17%
76.34%	Penalty Kill Percentage	81.58%

Pittsburgh Penguins
14-21-4, 32pts

Day 94

Carolina Hurricanes
16-19-4, 36pts

Team Stats
L3	Streak	L3
8-9-3	Home Record	6-9-3
6-12-1	Away Record	10-10-1
4-6-0	Last 10 Games	4-6-0
2.44	Goals Per Game	3.08
3.00	Goals Against Per Game	3.08
18.80%	Power Play Percentage	25.20%
76.34%	Penalty Kill Percentage	78.22%

Columbus Blue Jackets
16-19-4, 36pts

Day 96

Pittsburgh Penguins
14-21-4, 32pts

Team Stats
L1	Streak	L3
9-10-1	Home Record	8-9-3
7-9-3	Away Record	6-12-1
2-8-0	Last 10 Games	4-6-0
2.92	Goals Per Game	2.44
3.36	Goals Against Per Game	2.44
29.06%	Power Play Percentage	18.80%
72.87%	Penalty Kill Percentage	76.34%

Team Leaders
	Goals Bo Horvat 15	Assists William Eklund 20

	Points Bo Horvat 33	Plus/Minus Cam York 6

	Wins Mackenzie Blackwood 6	Save Percentage Mackenzie Blackwood 0.897

Team Stats
Goals For 95 2.44 GFG	Shots For 1093 28.03 Avg	Power Play Percentage 18.8% 22 GF	Offensive Zone Start 37.3%
Goals Against 117 3.00 GAA	Shots Against 1219 31.26 Avg	Penalty Kill Percentage 76.3%% 31 GA	Defensive Zone Start 36.9%

Team Info
	General Manager	Stephan
	Coach	Derek Lalonde
	Division	Metropolitan
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	PPG Paints Arena
	Capacity	18,387
	Attendance	15,756
	Season Tickets	9,194
Roster Info
	Pro Team	22
	Farm Team	29
	Contract Limit	51 / 65
	Prospects	30
Salary Cap
	Estimated Season Salary Cap	84,470,000$
	Available Salary Cap	3,530,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	22
Finance
	Year to Date Revenue	33,458,146$
	Year To Date Expenses	37,801,319$
	Estimated Season Revenue	35,131,053$
	Estimated Season Expenses	44,041,092$
	Current Bank Account	148,490,999$
	Projected Bank Account	140,871,325$
Team History
	This Season	14-21-4 (32PTS)
	History	132-122-36 (0.455%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	Stanley Cup	0

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	Jack Hughes	0	X	X			98.00	59	40	93	91	61	85	87	99	58	91	90	66	53	66	67	0	68	78	2	23	2	8,000,000$
2	Bo Horvat	0	X				100.00	71	53	85	88	78	81	97	86	95	80	88	67	63	79	80	0	70	77	2	29	3	8,500,000$
3	Clayton Keller	0		X	X		100.00	61	40	87	86	60	80	97	93	42	84	89	65	37	73	73	0	70	76	2	26	2	7,150,000$
4	Jason Robertson	0		X	X		100.00	73	43	91	83	72	78	99	87	25	87	85	67	85	66	68	0	70	76	2	25	2	7,750,000$
5	T.J. Oshie	0			X		100.00	87	78	76	80	73	74	72	84	52	73	84	68	90	84	89	0	71	74	2	38	1	3,300,000$
6	Josh Norris	0	X				100.00	82	50	86	80	72	76	52	89	90	73	83	69	70	61	61	0	63	71	2	25	2	7,950,000$
7	Michael McLeod	0	X				100.00	87	45	92	89	70	69	80	66	99	65	73	77	25	65	66	0	70	70	0	26	1	975,000$
8	William Eklund	0	X	X			100.00	65	41	88	80	63	79	88	84	46	78	72	72	53	56	56	0	71	70	0	22	2	1,500,000$
9	Trevor Zegras	0	X	X			100.00	65	42	73	84	68	75	73	81	55	74	71	63	85	63	63	0	73	69	1	23	3	5,750,000$
10	Egor Afanasyev	0	X	X			100.00	79	76	87	70	76	78	81	67	80	62	68	68	65	45	45	0	71	65	0	23	1	1,000,000$
11	Josh Archibald	0		X	X		100.00	96	56	80	78	64	56	56	61	31	60	59	80	25	66	68	0	60	63	0	32	1	900,000$
12	Cam Fowler	0				X	100.00	65	43	90	82	78	90	99	80	25	69	48	89	61	85	85	0	69	77	2	33	1	6,500,000$
13	Mario Ferraro	0				X	100.00	81	44	86	80	67	86	92	66	25	57	48	96	25	67	67	0	70	74	2	26	2	3,250,000$
14	Aaron Ekblad	0				X	100.00	82	45	73	83	81	81	78	72	25	61	49	89	25	74	76	0	70	74	2	28	1	7,500,000$
15	Cam York	0				X	100.00	73	42	84	80	63	86	95	78	25	58	53	86	25	61	61	0	70	72	0	23	3	1,600,000$
16	Andrew Peeke	0				X	100.00	88	46	88	79	73	69	76	61	25	58	48	86	25	64	64	0	70	70	1	26	2	2,750,000$
17	Vincent Desharnais	0				X	100.00	82	78	80	70	82	67	81	62	25	50	47	85	25	57	58	0	70	68	0	28	2	762,500$
18	Nick DeSimone	0				X	100.00	73	43	95	69	70	62	73	61	25	51	48	69	25	47	47	0	74	62	0	30	1	762,500$
Scratches
1	Cole Cassels	0	X				100.00	71	65	86	60	65	77	81	61	76	62	56	62	53	44	44	0	42	59	0	29	2	750,000$
Farm Team
1	Axel Jonsson-Fjallby	0		X			99.00	74	64	96	59	64	60	59	63	50	60	63	64	60	54	55	0	80	59	0	26	1	750,000$
2	Marco Kasper (R)	0	X				100.00	74	69	87	64	69	69	72	59	74	56	58	63	55	44	44	0	76	58	0	20	3	1,500,000$
3	Cody Hodgson	0	X				100.00	75	70	86	64	70	52	51	60	75	47	68	64	65	44	44	0	83	57	0	34	1	750,000$
4	Tyler Spezia	0	X	X			100.00	68	60	87	65	60	67	71	54	68	51	53	59	50	44	44	0	80	55	0	31	1	750,000$
5	Gavin Hain (R)	0	X				100.00	74	69	86	66	69	58	61	50	63	43	51	61	48	44	44	0	78	54	0	24	3	750,000$
6	Dominic Franco	0	X		X		100.00	74	82	56	65	82	64	68	49	61	47	46	60	44	44	44	0	81	54	0	28	1	750,000$
7	Oskar Pettersson (R)	0			X		100.00	80	73	95	59	73	54	56	50	50	47	48	64	46	44	44	0	69	53	0	20	3	950,000$
8	Jamieson Rees (R)	0	X	X			100.00	71	65	86	62	65	68	73	48	60	47	44	59	42	44	44	0	77	53	0	23	3	775,000$
9	Keean Washkurak	0	X	X			100.00	64	62	67	61	62	65	70	48	60	45	46	55	44	44	44	0	80	51	0	23	1	750,000$
10	J.J. Piccinich	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	72	48	0	28	2	750,000$
11	German Rubtsov	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	60	48	0	26	1	750,000$
12	Dominik Bokk	0		X	X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	73	48	0	24	3	750,000$
13	Jack Badini	0	X	X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	63	48	0	26	2	750,000$
14	Nick Shore	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	75	48	0	32	1	750,000$
15	Aaron Ness	0				X	100.00	72	65	88	65	65	77	84	50	25	45	41	60	39	44	44	0	72	58	0	34	1	750,000$
16	Chris Harpur	0				X	98.00	81	76	91	60	76	50	51	47	25	39	39	63	37	44	44	0	81	55	0	28	1	750,000$
17	Clifford Watson	0				X	100.00	74	72	77	58	72	56	59	47	25	37	41	60	39	44	44	0	70	54	0	31	1	750,000$
18	Johannes Kinnvall	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	80	48	0	27	1	750,000$
19	Ziyat Paigin	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	55	48	0	29	2	750,000$
20	John Nyberg	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	65	48	0	28	2	750,000$
21	Tyler Kelleher	0			X		100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	71	48	0	30	2	750,000$
22	Sean Malone	0	X				100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	44	48	0	29	2	750,000$
23	Radim Simek	0				X	98.39	75	72	82	65	72	61	64	52	25	44	41	66	39	63	63	0	47	59	0	32	2	2,250,000$
24	Connor McCarthy	0				X	69.24	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	66	48	0	28	1	750,000$
25	Ian McCoshen	0				X	96.11	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	56	48	0	29	1	750,000$
26	Ville Pokka	0				X	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	60	48	0	30	2	750,000$

	TEAM AVERAGE						99.07	68	56	75	66	64	64	68	61	50	57	57	64	48	55	55	0	69	60

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	David Rittich	0	100.00	74	53	54	81	80	68	75	71	80	74	51	62	63	0	67	70	0	32	1	900,000$
Scratches
1	Mackenzie Blackwood	0	95.00	64	64	64	89	66	62	69	64	65	64	65	62	62	0	75	66	2	28	1	2,800,000$
2	Michael Houser	0	100.00	45	45	56	73	45	90	45	50	90	81	45	44	44	0	68	60	0	32	2	750,000$
Farm Team
1	Aleksei Kolosov (R)	0	100.00	59	47	59	70	64	66	58	64	68	66	30	44	44	0	79	60	0	23	3	950,000$
2	Remi Poirier (R)	0	100.00	53	43	54	79	58	55	50	57	56	55	30	44	44	0	76	55	0	23	2	750,000$
3	Marcus Hogberg	0	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	0	57	49	0	30	3	775,000$

	TEAM AVERAGE		99.17	58	50	56	74	61	65	58	59	68	65	45	51	51	0	70	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Derek Lalonde	73	77	79	76	77	72	75	USA	51	1	750,000$

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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Bo Horvat	Pittsburgh Penguins	C	39	15	18	33	-2	18	10	62	54	121	26	76	12.40%	17	759	19.46	5	5	10	15	94	0	1	1	1	93	1	2	58.93%	504	21	15	0	0	0.87	2	5	1	1	0	3	1	2
2	Jack Hughes	Pittsburgh Penguins	C/LW	39	15	15	30	-1	6	0	55	58	130	31	79	11.54%	16	866	22.22	2	4	6	12	93	0	1	1	2	37	3	1	39.56%	781	33	11	0	0	0.69	1	2	0	0	0	3	4	3
3	T.J. Oshie	Pittsburgh Penguins	RW	39	8	19	27	-1	37	5	74	33	94	25	59	8.51%	14	732	18.79	2	7	9	15	93	0	0	0	5	60	1	0	45.45%	99	26	16	0	0	0.74	0	1	0	0	1	0	1	0
4	William Eklund	Pittsburgh Penguins	C/LW	39	7	20	27	-2	13	5	38	46	101	38	49	6.93%	12	661	16.97	4	5	9	16	92	0	0	0	0	0	1	0	35.71%	28	18	8	0	0	0.82	0	1	0	0	1	1	0	0
5	Clayton Keller	Pittsburgh Penguins	LW/RW	39	9	17	26	-1	20	0	50	37	99	41	76	9.09%	16	760	19.51	3	5	8	17	95	1	0	1	2	93	1	2	32.20%	59	33	13	1	0	0.68	0	3	0	0	0	3	2	1
6	Jason Robertson	Pittsburgh Penguins	LW/RW	39	11	11	22	-1	16	0	44	36	98	27	60	11.22%	17	722	18.53	2	3	5	16	94	0	0	0	3	91	0	2	28.70%	115	23	8	0	1	0.61	2	5	0	0	0	1	1	1
7	Josh Norris	Pittsburgh Penguins	C	37	8	5	13	-8	8	0	35	38	95	37	36	8.42%	12	514	13.90	0	0	0	0	2	0	0	0	0	0	0	0	50.37%	272	28	16	0	1	0.51	0	1	0	0	0	1	1	1
8	Cam Fowler	Pittsburgh Penguins	D	39	1	11	12	-22	8	0	28	77	46	21	18	2.17%	35	899	23.06	1	2	3	4	49	0	0	0	0	45	0	0	0%	0	6	26	0	0	0.27	0	2	0	0	0	0	1	1
9	Mario Ferraro	Pittsburgh Penguins	D	39	4	5	9	5	6	0	45	56	28	9	15	14.29%	46	834	21.40	3	1	4	9	96	0	0	0	0	107	0	0	0%	0	6	22	0	0	0.22	0	0	0	0	0	0	0	1
10	Trevor Zegras	Pittsburgh Penguins	C/LW	39	6	3	9	-11	41	5	47	31	92	33	61	6.52%	9	579	14.85	0	0	0	0	1	0	0	0	1	26	2	1	37.14%	35	19	11	0	0	0.31	0	1	1	0	0	0	1	0
11	Aaron Ekblad	Pittsburgh Penguins	D	39	1	7	8	-20	61	5	66	62	41	14	17	2.44%	44	823	21.10	0	0	0	4	94	0	0	0	0	74	0	0	0%	0	5	24	0	0	0.19	0	0	0	0	1	0	0	0
12	Cam York	Pittsburgh Penguins	D	39	2	6	8	6	20	0	40	62	30	11	16	6.67%	27	796	20.42	0	4	4	6	96	0	0	0	0	96	0	0	0%	0	4	23	0	0	0.20	0	0	0	0	0	0	0	1
13	Michael McLeod	Pittsburgh Penguins	C	39	2	5	7	0	0	0	39	33	41	20	26	4.88%	4	362	9.31	0	0	0	0	4	0	0	0	0	3	1	0	59.29%	140	7	3	0	0	0.39	0	4	0	0	0	1	1	0
14	Josh Archibald	Pittsburgh Penguins	LW/RW	39	2	4	6	-9	10	0	41	35	26	12	20	7.69%	16	539	13.84	0	0	0	0	3	0	0	0	0	4	1	0	33.33%	15	7	9	0	0	0.22	0	0	0	0	0	0	0	1
15	Andrew Peeke	Pittsburgh Penguins	D	39	0	6	6	5	0	0	34	38	17	5	6	0%	33	661	16.96	0	1	1	4	45	0	0	0	1	78	0	0	0%	0	1	15	0	0	0.18	0	0	0	0	0	0	0	0
16	Vincent Desharnais	Pittsburgh Penguins	D	39	0	4	4	4	35	5	27	33	15	6	12	0%	29	505	12.96	0	0	0	0	0	0	0	0	0	1	0	0	0%	0	1	9	0	0	0.16	0	0	0	0	1	0	0	0
17	Cole Cassels	Pittsburgh Penguins	C	14	1	0	1	-2	2	0	8	7	3	3	1	33.33%	0	88	6.29	0	0	0	0	0	0	0	0	0	0	0	1	26.67%	15	0	1	0	0	0.23	0	0	0	0	0	0	0	0
18	Nick DeSimone	Pittsburgh Penguins	D	32	0	1	1	-2	0	0	6	19	4	1	2	0%	11	200	6.26	0	0	0	0	1	0	0	0	0	6	0	0	0%	0	1	1	0	0	0.10	0	0	0	0	0	0	0	0
19	Egor Afanasyev	Pittsburgh Penguins	C/LW	38	1	0	1	-1	2	0	26	10	12	5	4	8.33%	2	259	6.83	0	0	0	0	0	0	0	0	0	0	1	0	14.29%	7	0	2	0	0	0.08	0	1	0	0	0	0	0	0
20	Marco Kasper	Salt Lake City Lynx (PIT)	C	7	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0.14	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	0
Team Total or Average				713	93	157	250	-63	303	35	765	765	1093	365	633	8.51%	360	11569	16.23	22	37	59	118	961	1	2	3	15	821	12	9	46.18%	2070	239	233	1	2	0.43	5	26	2	1	4	13	13	12

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	S3
1	David Rittich	Pittsburgh Penguins	19	8	10	1	0.918	2.55	1129	0	48	588	322	1	0	0.500	2	19	17	2	2	1
2	Mackenzie Blackwood	Pittsburgh Penguins	21	6	11	3	0.897	3.17	1231	2	65	630	371	0	1	0.773	22	20	19	1	0	1
Team Total or Average			40	14	21	4	0.907	2.87	2361	2	113	1218	693	1	1		24	39	36	3	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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	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
Aaron Ekblad	Pittsburgh Penguins	D	28	1996-02-07	CAN	No	216 Lbs	6 ft4	No	No	N/A	No	No	1	False	False	Pro Only	7,500,000$	7,500,000$	4,035,533$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Andrew Peeke	Pittsburgh Penguins	D	26	1998-03-16	USA	No	194 Lbs	6 ft3	No	No	N/A	No	No	2	False	False	Pro Only	2,750,000$	2,750,000$	1,479,695$	No	2,750,000$	-	-	-	-	-	-	-	-	450,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Bo Horvat	Pittsburgh Penguins	C	29	1995-04-04	CAN	No	216 Lbs	6 ft0	No	No	N/A	No	No	3	False	False	Pro Only	8,500,000$	8,500,000$	4,573,604$	No	8,500,000$	8,500,000$	-	-	-	-	-	-	-	8,500,000$	8,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Cam Fowler	Pittsburgh Penguins	D	33	1991-12-05	USA	No	213 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro Only	6,500,000$	6,500,000$	3,497,462$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cam York	Pittsburgh Penguins	D	23	2001-01-05	USA	No	172 Lbs	5 ft11	No	No	N/A	No	No	3	False	False	Pro Only	1,600,000$	1,600,000$	860,914$	No	1,600,000$	1,600,000$	-	-	-	-	-	-	-	1,600,000$	1,600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Clayton Keller	Pittsburgh Penguins	LW/RW	26	1998-07-28	USA	No	169 Lbs	5 ft10	No	No	N/A	No	No	2	False	False	Pro Only	7,150,000$	7,150,000$	3,847,208$	No	7,150,000$	-	-	-	-	-	-	-	-	7,150,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Cole Cassels	Pittsburgh Penguins	C	29	1995-05-04	USA	No	178 Lbs	6 ft0	No	No	N/A	No	Yes	2	False	False	Pro & Farm	750,000$	750,000$	403,553$	No	750,000$	-	-	-	-	-	-	-	-	450,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
David Rittich	Pittsburgh Penguins	G	32	1992-08-18	CZE	No	205 Lbs	6 ft3	No	No	N/A	No	No	1	False	False	Pro Only	900,000$	900,000$	484,264$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Egor Afanasyev	Pittsburgh Penguins	C/LW	23	2001-01-23	RUS	No	205 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	1,000,000$	1,000,000$	538,071$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Hughes	Pittsburgh Penguins	C/LW	23	2001-05-14	USA	No	169 Lbs	5 ft11	No	No	N/A	No	No	2	False	False	Pro Only	8,000,000$	8,000,000$	4,304,569$	No	8,000,000$	-	-	-	-	-	-	-	-	8,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jason Robertson	Pittsburgh Penguins	LW/RW	25	1999-07-22	USA	No	194 Lbs	6 ft2	No	No	N/A	No	No	2	False	False	Pro Only	7,750,000$	7,750,000$	4,170,051$	No	7,750,000$	-	-	-	-	-	-	-	-	7,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Josh Archibald	Pittsburgh Penguins	LW/RW	32	1992-06-10	CAN	No	176 Lbs	5 ft10	No	No	N/A	No	Yes	1	False	False	Pro & Farm	900,000$	900,000$	484,264$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Josh Norris	Pittsburgh Penguins	C	25	1999-05-05	USA	No	192 Lbs	6 ft2	No	No	N/A	No	No	2	False	False	Pro Only	7,950,000$	7,950,000$	4,277,665$	No	7,950,000$	-	-	-	-	-	-	-	-	7,950,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mackenzie Blackwood	Pittsburgh Penguins	G	28	1996-09-12	CAN	No	224 Lbs	6 ft4	No	No	N/A	No	Yes	1	False	False	Pro Only	2,800,000$	2,800,000$	1,506,599$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mario Ferraro	Pittsburgh Penguins	D	26	1998-09-17	CAN	No	185 Lbs	5 ft11	No	No	N/A	No	No	2	False	False	Pro Only	3,250,000$	3,250,000$	1,748,731$	No	3,250,000$	-	-	-	-	-	-	-	-	3,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Michael Houser	Pittsburgh Penguins	G	32	1992-09-12	USA	No	190 Lbs	6 ft1	No	No	N/A	No	No	2	False	False	Pro & Farm	750,000$	750,000$	403,553$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Michael McLeod	Pittsburgh Penguins	C	26	1998-02-03	CAN	No	187 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro Only	975,000$	975,000$	524,619$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Nick DeSimone	Pittsburgh Penguins	D	30	1994-11-21	USA	No	189 Lbs	6 ft2	No	No	N/A	No	Yes	1	False	False	Pro & Farm	762,500$	762,500$	410,279$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
T.J. Oshie	Pittsburgh Penguins	RW	38	1986-12-23	USA	No	195 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro Only	3,300,000$	3,300,000$	1,775,635$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Trevor Zegras	Pittsburgh Penguins	C/LW	23	2001-03-19	USA	No	185 Lbs	6 ft0	No	No	N/A	No	No	3	False	False	Pro Only	5,750,000$	5,750,000$	3,093,909$	No	5,750,000$	5,750,000$	-	-	-	-	-	-	-	5,750,000$	5,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Vincent Desharnais	Pittsburgh Penguins	D	28	1996-05-29	CAN	No	209 Lbs	6 ft6	No	No	N/A	No	Yes	2	False	False	Pro Only	762,500$	762,500$	410,279$	No	762,500$	-	-	-	-	-	-	-	-	762,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
William Eklund	Pittsburgh Penguins	C/LW	22	2002-12-10	SWE	No	176 Lbs	5 ft10	No	No	N/A	No	No	2	False	False	Pro Only	1,500,000$	1,500,000$	807,107$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	27.59	193 Lbs	6 ft1	1.73	3,686,364$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
81,100,000$	56,462,500$	15,850,000$	0$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jason Robertson	Jack Hughes	Clayton Keller	30	1	2	2
2	William Eklund	Bo Horvat	T.J. Oshie	30	1	2	2
3	Trevor Zegras	Josh Norris	Josh Archibald	25	1	2	2
4	Jack Hughes	Michael McLeod	Egor Afanasyev	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cam Fowler	Aaron Ekblad	30	1	2	2
2	Mario Ferraro	Cam York	30	1	2	2
3	Andrew Peeke	Vincent Desharnais	25	1	2	2
4	Nick DeSimone	Cam Fowler	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jason Robertson	Jack Hughes	Clayton Keller	50	1	2	2
2	William Eklund	Bo Horvat	T.J. Oshie	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Andrew Peeke	Aaron Ekblad	50	1	2	2
2	Mario Ferraro	Cam York	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	T.J. Oshie	Bo Horvat	50	1	2	2
2	Jason Robertson	Clayton Keller	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Aaron Ekblad	Andrew Peeke	50	1	2	2
2	Mario Ferraro	Cam York	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Clayton Keller	50	1	2	2	Aaron Ekblad	Andrew Peeke	50	1	2	2
2	Bo Horvat	50	1	2	2	Mario Ferraro	Cam York	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	T.J. Oshie	Bo Horvat	50	1	2	2
2	Jason Robertson	Clayton Keller	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cam Fowler	Aaron Ekblad	50	1	2	2
2	Mario Ferraro	Cam York	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jason Robertson	Jack Hughes	Clayton Keller	Cam Fowler	Aaron Ekblad

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jason Robertson	Jack Hughes	Clayton Keller	Cam Fowler	Aaron Ekblad

Extra Forwards
Normal	PowerPlay	Penalty Kill
Clayton Keller, Michael McLeod, Trevor Zegras	Clayton Keller, Michael McLeod	Trevor Zegras

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Andrew Peeke, Mario Ferraro, Cam York	Andrew Peeke	Cam York, Mario Ferraro

Penalty Shots
Michael McLeod, Bo Horvat, Jason Robertson, Clayton Keller, T.J. Oshie

Goalie
#1 : , #2 : David Rittich

Custom OT Lines Forwards
Jack Hughes, Jason Robertson, Clayton Keller, Bo Horvat, T.J. Oshie, Egor Afanasyev, Egor Afanasyev, Michael McLeod, Trevor Zegras, William Eklund, Josh Archibald

Custom OT Lines Defensemen
Aaron Ekblad, Cam Fowler, Mario Ferraro, Cam York, Andrew Peeke

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	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	0	3	0	41	19	6	16	0	36	10	5	25	8	3	37.50%	0	0	0%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	26	16	17	7	15	9
2	Boston Bruins	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	6	10	0	0	0	3	1	0	25	4	15	6	0	46	6	4	26	1	1	100.00%	3	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	19	10	23	8	17	8
3	Buffalo Sabres	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	22	6	5	11	0	27	10	6	14	2	0	0.00%	3	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	18	8	22	9	19	9
4	Calgary Flames	2	1	0	0	0	0	0	1	6	4	2	1	0	0	0	0	0	0	1	2	3	-1	1	1	0	0	0	0	0	0	4	1	3	3	0.750	6	9	15	0	0	1	2	3	0	61	17	26	16	6	51	19	22	30	5	2	40.00%	6	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	42	23	41	20	40	19
5	Carolina Hurricanes	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	4	6	10	0	0	0	0	4	0	52	17	10	25	0	74	16	24	34	6	1	16.67%	12	5	58.33%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	36	18	48	19	35	16
6	Colorado Avalanche	1	0	0	0	1	0	0	0	6	5	1	1	0	0	0	1	0	0	0	6	5	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	1	2	2	1	27	3	4	18	2	32	15	10	20	4	2	50.00%	5	1	80.00%	1	379	766	49.48%	347	758	45.78%	230	529	43.48%	20	11	21	9	18	9
7	Columbus Blue Jackets	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	1	3	2	1.000	4	7	11	0	0	2	1	1	0	38	20	6	12	0	37	5	4	18	8	3	37.50%	2	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	23	13	18	9	17	9
8	Dallas Stars	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	0	3	0	21	5	2	14	0	29	5	10	21	3	1	33.33%	5	2	60.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	17	8	23	8	18	9
9	Detroit Red Wings	3	1	1	0	0	0	0	1	8	9	-1	1	1	0	0	0	0	0	0	2	1	1	2	0	1	0	0	0	0	1	6	8	-2	3	0.500	8	14	22	0	0	2	4	2	0	98	28	34	36	3	100	27	23	51	13	1	7.69%	9	2	77.78%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	65	36	64	29	54	27
10	Edmonton Oilers	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	0	1	1	0	25	9	9	7	0	35	14	14	20	3	1	33.33%	7	3	57.14%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	20	12	21	9	17	8
11	Florida Panthers	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	1	0	0	0	22	2	1	19	0	28	15	4	13	0	0	0%	2	1	50.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	16	7	23	9	20	9
12	Los Angeles Kings	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	0	1	1	0	23	1	13	9	0	38	10	8	17	3	1	33.33%	4	2	50.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	20	10	21	8	18	9
13	Minnesota Wild	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	2	0	2	0	33	12	5	16	0	29	3	12	28	1	0	0.00%	6	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	22	13	20	9	17	7
14	Montreal Canadiens	3	1	2	0	0	0	0	0	9	11	-2	1	1	0	0	0	0	0	0	4	2	2	2	0	2	0	0	0	0	0	5	9	-4	2	0.333	9	16	25	0	0	1	1	7	0	81	17	33	31	0	109	30	43	64	9	2	22.22%	14	3	78.57%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	60	33	68	27	51	24
15	Nashville Predators	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	3	5	0	0	1	0	0	1	38	7	13	17	1	25	10	11	21	3	0	0.00%	3	1	66.67%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	23	13	17	8	19	9
16	New Jersey Devils	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	1	0	0	0	23	14	7	2	0	31	17	11	17	1	1	100.00%	3	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	19	11	20	10	19	8
17	New York Islanders	3	0	2	0	0	0	1	0	6	11	-5	1	0	1	0	0	0	0	0	1	6	-5	2	0	1	0	0	0	1	0	5	5	0	2	0.333	6	8	14	0	0	1	1	3	1	79	18	23	37	4	95	25	16	66	8	0	0.00%	8	2	75.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	60	30	63	29	60	31
18	New York Rangers	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	3	5	8	0	0	0	2	1	0	53	22	14	17	0	64	20	16	32	7	0	0.00%	8	4	50.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	39	22	43	18	36	19
19	Ottawa Senators	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	3	2	2	1.000	5	8	13	0	0	1	1	3	0	30	15	5	10	0	29	8	10	18	4	0	0.00%	5	1	80.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	21	11	18	8	19	11
20	Philadelphia Flyers	1	0	0	0	0	0	1	0	2	1	1	1	0	0	0	0	0	1	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	2	4	0	0	0	0	1	3	14	2	4	7	12	28	10	8	25	2	0	0.00%	4	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	18	7	25	11	21	10
21	San Jose Sharks	1	0	0	0	0	0	0	1	5	6	-1	1	0	0	0	0	0	0	1	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	5	8	13	0	0	0	2	3	1	30	10	10	10	4	36	7	4	20	1	0	0.00%	2	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	21	12	26	9	17	8
22	Tampa Bay Lightning	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	0	1	1	0	36	9	4	23	0	33	9	2	20	2	1	50.00%	1	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	20	12	22	8	16	8
23	Toronto Maple Leafs	2	1	1	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	7	11	0	0	1	2	1	0	53	18	21	14	0	48	17	8	45	5	0	0.00%	4	1	75.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	45	25	37	17	37	20
24	Utah Hockey Club	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	3	5	0	0	0	1	1	0	34	7	13	14	0	25	7	8	22	2	1	50.00%	4	2	50.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	19	10	20	10	20	10
25	Vancouver Canucks	2	0	2	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	2	4	6	1	0	1	1	0	0	61	14	31	16	0	60	17	8	34	10	1	10.00%	4	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	44	25	39	17	35	19
26	Washington Capitals	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	0	0	0	0	25	6	9	10	0	17	9	6	29	2	0	0.00%	3	1	66.67%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	20	10	19	9	20	9
27	Winnipeg Jets	2	0	2	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	2	3	5	0	0	0	1	1	0	48	17	13	18	0	57	19	8	35	4	0	0.00%	4	0	100.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	35	17	45	20	38	18
	Total	39	10	21	0	2	1	2	3	95	117	-22	20	6	9	0	1	1	1	2	51	60	-9	19	4	12	0	1	0	1	1	44	57	-13	32	0.410	95	157	252	1	0	18	27	46	7	1093	319	336	431	32	1219	360	305	765	117	22	18.80%	131	31	76.34%	1	379	766	49.48%	347	758	45.78%	230	529	43.48%	801	438	836	367	728	365
	_Since Last GM Reset	39	10	21	0	2	1	2	3	95	117	-22	20	6	9	0	1	1	1	2	51	60	-9	19	4	12	0	1	0	1	1	44	57	-13	32	0.410	95	157	252	1	0	18	27	46	7	1093	319	336	431	32	1219	360	305	765	117	22	18.80%	131	31	76.34%	1	379	766	49.48%	347	758	45.78%	230	529	43.48%	801	438	836	367	728	365
	_Vs Conference	24	6	15	0	0	0	2	1	54	73	-19	10	3	6	0	0	0	1	0	20	28	-8	14	3	9	0	0	0	1	1	34	45	-11	17	0.354	54	88	142	0	0	10	16	26	4	651	198	191	260	19	766	224	185	472	70	10	14.29%	81	20	75.31%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	485	260	519	226	449	226
	_Vs Division	11	1	8	0	0	0	2	0	20	34	-14	4	0	3	0	0	0	1	0	7	14	-7	7	1	5	0	0	0	1	0	13	20	-7	6	0.273	20	30	50	0	0	4	4	10	4	284	99	73	110	16	346	102	85	221	34	5	14.71%	40	12	70.00%	0	379	766	49.48%	347	758	45.78%	230	529	43.48%	219	114	238	106	212	105

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
39	32	L3	95	157	252	1093	1219	360	305	765	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	10	21	2	1	2	3	95	117

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	6	9	1	1	1	2	51	60

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	4	12	1	0	1	1	44	57

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
117	22	18.80%	131	31	76.34%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
319	336	431	32	18	27	46	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
379	766	49.48%	347	758	45.78%	230	529	43.48%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
801	438	836	367	728	365

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
6	7	New York Rangers	3	Pittsburgh Penguins	1	L			BoxScore
7	14	Pittsburgh Penguins	2	Detroit Red Wings	3	L	X	X	BoxScore
9	26	Pittsburgh Penguins	1	Toronto Maple Leafs	2	L			BoxScore
11	46	Pittsburgh Penguins	3	Montreal Canadiens	4	L			BoxScore
13	57	Buffalo Sabres	3	Pittsburgh Penguins	1	L			BoxScore
15	72	Carolina Hurricanes	4	Pittsburgh Penguins	3	L			BoxScore
17	88	Pittsburgh Penguins	1	Winnipeg Jets	2	L			BoxScore
19	102	Pittsburgh Penguins	4	Calgary Flames	1	W			BoxScore
22	121	Pittsburgh Penguins	2	Edmonton Oilers	5	L			BoxScore
23	133	Pittsburgh Penguins	1	Vancouver Canucks	3	L			BoxScore
26	153	Minnesota Wild	3	Pittsburgh Penguins	4	W			BoxScore
28	163	Anaheim Ducks	1	Pittsburgh Penguins	4	W			BoxScore
30	180	Montreal Canadiens	2	Pittsburgh Penguins	4	W			BoxScore
33	198	Pittsburgh Penguins	4	New York Islanders	3	W	X	X	BoxScore
35	214	Pittsburgh Penguins	1	Carolina Hurricanes	5	L			BoxScore
36	221	Pittsburgh Penguins	0	Washington Capitals	2	L			BoxScore
39	241	Dallas Stars	3	Pittsburgh Penguins	4	W			BoxScore
41	252	Detroit Red Wings	1	Pittsburgh Penguins	2	W			BoxScore
43	267	Pittsburgh Penguins	4	Columbus Blue Jackets	1	W			BoxScore
44	279	San Jose Sharks	6	Pittsburgh Penguins	5	L	X	X	BoxScore
47	295	Tampa Bay Lightning	3	Pittsburgh Penguins	2	L			BoxScore
50	316	Winnipeg Jets	2	Pittsburgh Penguins	1	L			BoxScore
51	326	Utah Hockey Club	3	Pittsburgh Penguins	2	L	X		BoxScore
55	354	Vancouver Canucks	3	Pittsburgh Penguins	1	L			BoxScore
57	372	Pittsburgh Penguins	4	Boston Bruins	3	W			BoxScore
58	380	Calgary Flames	3	Pittsburgh Penguins	2	L	X	X	BoxScore
61	399	Florida Panthers	4	Pittsburgh Penguins	1	L			BoxScore
64	421	Pittsburgh Penguins	2	New York Rangers	5	L			BoxScore
65	433	Toronto Maple Leafs	1	Pittsburgh Penguins	3	W			BoxScore
68	447	Colorado Avalanche	5	Pittsburgh Penguins	6	W	X		BoxScore
70	460	Pittsburgh Penguins	2	Montreal Canadiens	5	L			BoxScore
72	478	Pittsburgh Penguins	5	Ottawa Senators	3	W			BoxScore
75	499	Los Angeles Kings	3	Pittsburgh Penguins	2	L			BoxScore
77	515	Pittsburgh Penguins	2	Nashville Predators	1	W	X		BoxScore
79	534	Pittsburgh Penguins	1	New Jersey Devils	2	L			BoxScore
81	550	Philadelphia Flyers	1	Pittsburgh Penguins	2	W	X	X	BoxScore
86	575	Pittsburgh Penguins	1	New York Islanders	2	L			BoxScore
87	581	New York Islanders	6	Pittsburgh Penguins	1	L			BoxScore
89	593	Pittsburgh Penguins	4	Detroit Red Wings	5	L			BoxScore
92	615	Pittsburgh Penguins	-	Florida Panthers	-
94	634	Pittsburgh Penguins	-	Carolina Hurricanes	-
96	645	Columbus Blue Jackets	-	Pittsburgh Penguins	-
98	658	Edmonton Oilers	-	Pittsburgh Penguins	-
100	671	Ottawa Senators	-	Pittsburgh Penguins	-
101	686	Tampa Bay Lightning	-	Pittsburgh Penguins	-
103	696	Seattle Kraken	-	Pittsburgh Penguins	-
106	720	Pittsburgh Penguins	-	Buffalo Sabres	-
107	729	Pittsburgh Penguins	-	Washington Capitals	-
109	748	Pittsburgh Penguins	-	Los Angeles Kings	-
112	769	Pittsburgh Penguins	-	Anaheim Ducks	-
114	778	Pittsburgh Penguins	-	Seattle Kraken	-
116	798	Pittsburgh Penguins	-	San Jose Sharks	-
118	811	Pittsburgh Penguins	-	Utah Hockey Club	-
121	830	Nashville Predators	-	Pittsburgh Penguins	-
124	848	New Jersey Devils	-	Pittsburgh Penguins	-
127	871	Pittsburgh Penguins	-	New York Rangers	-
128	881	Pittsburgh Penguins	-	Philadelphia Flyers	-
142	893	Washington Capitals	-	Pittsburgh Penguins	-
143	907	New York Rangers	-	Pittsburgh Penguins	-
145	922	Pittsburgh Penguins	-	Philadelphia Flyers	-
147	938	Philadelphia Flyers	-	Pittsburgh Penguins	-
149	952	Boston Bruins	-	Pittsburgh Penguins	-
150	961	Toronto Maple Leafs	-	Pittsburgh Penguins	-
Trade Deadline --- Trades can’t be done after this day is simulated!
152	980	Pittsburgh Penguins	-	Colorado Avalanche	-
155	1001	Pittsburgh Penguins	-	Vegas Golden Knights	-
157	1015	Pittsburgh Penguins	-	Minnesota Wild	-
159	1028	Vegas Golden Knights	-	Pittsburgh Penguins	-
161	1044	St.Louis Blues	-	Pittsburgh Penguins	-
163	1056	New Jersey Devils	-	Pittsburgh Penguins	-
166	1080	New York Islanders	-	Pittsburgh Penguins	-
169	1103	Columbus Blue Jackets	-	Pittsburgh Penguins	-
171	1120	Pittsburgh Penguins	-	Florida Panthers	-
173	1131	Pittsburgh Penguins	-	Tampa Bay Lightning	-
175	1143	Pittsburgh Penguins	-	Buffalo Sabres	-
178	1174	Ottawa Senators	-	Pittsburgh Penguins	-
182	1200	Pittsburgh Penguins	-	St.Louis Blues	-
184	1211	Pittsburgh Penguins	-	Dallas Stars	-
185	1227	Pittsburgh Penguins	-	Chicago Blackhawks	-
187	1240	Chicago Blackhawks	-	Pittsburgh Penguins	-
190	1262	Pittsburgh Penguins	-	New Jersey Devils	-
192	1278	Boston Bruins	-	Pittsburgh Penguins	-
196	1311	Washington Capitals	-	Pittsburgh Penguins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6387	5000	2000	4000	1000
Ticket Price	140	80	50	35	250
Attendance	106,639	86,709	35,736	68,579	17,453
Attendance PCT	83.48%	86.71%	89.34%	85.72%	87.27%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
21	15756 - 85.69%	1,672,907$	33,458,146$	18387	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
37,801,319$	81,100,000$	78,500,000$	750,000$0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
81,100,000$	37,801,319$	0$	22	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
35,131,053$	106	415,482$	44,041,092$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
45,306,402$	148,490,999$	140,871,325$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
84,470,000$	3,530,000$	88,000,000$	19,470,000$

Depth Chart

Left Wing

Center

Right Wing

Jack Hughes	AGE:23	PO:0	OV:78
Clayton Keller	AGE:26	PO:0	OV:76
Jason Robertson	AGE:25	PO:0	OV:76
William Eklund	AGE:22	PO:0	OV:70
Trevor Zegras	AGE:23	PO:0	OV:69
Egor Afanasyev	AGE:23	PO:0	OV:65
Josh Archibald	AGE:32	PO:0	OV:63
Axel Jonsson-Fjallby	AGE:26	PO:0	OV:59
Tyler Spezia	AGE:31	PO:0	OV:55
Jamieson Rees (R)	AGE:23	PO:0	OV:53
Keean Washkurak	AGE:23	PO:0	OV:51
Dominik Bokk	AGE:24	PO:0	OV:48
Jack Badini	AGE:26	PO:0	OV:48

Jack Hughes	AGE:23	PO:0	OV:78
Bo Horvat	AGE:29	PO:0	OV:77
Josh Norris	AGE:25	PO:0	OV:71
Michael McLeod	AGE:26	PO:0	OV:70
William Eklund	AGE:22	PO:0	OV:70
Trevor Zegras	AGE:23	PO:0	OV:69
Egor Afanasyev	AGE:23	PO:0	OV:65
Cole Cassels	AGE:29	PO:0	OV:59
Marco Kasper (R)	AGE:20	PO:0	OV:58
Cody Hodgson	AGE:34	PO:0	OV:57
Tyler Spezia	AGE:31	PO:0	OV:55
Gavin Hain (R)	AGE:24	PO:0	OV:54
Dominic Franco	AGE:28	PO:0	OV:54
Jamieson Rees (R)	AGE:23	PO:0	OV:53
Keean Washkurak	AGE:23	PO:0	OV:51
Sean Malone	AGE:29	PO:0	OV:48
German Rubtsov	AGE:26	PO:0	OV:48
Jack Badini	AGE:26	PO:0	OV:48
Nick Shore	AGE:32	PO:0	OV:48

Clayton Keller	AGE:26	PO:0	OV:76
Jason Robertson	AGE:25	PO:0	OV:76
T.J. Oshie	AGE:38	PO:0	OV:74
Josh Archibald	AGE:32	PO:0	OV:63
Dominic Franco	AGE:28	PO:0	OV:54
Oskar Pettersson (R)	AGE:20	PO:0	OV:53
J.J. Piccinich	AGE:28	PO:0	OV:48
Tyler Kelleher	AGE:30	PO:0	OV:48
Dominik Bokk	AGE:24	PO:0	OV:48

Defense #1

Defense #2

Goalie

Cam Fowler	AGE:33	PO:0	OV:77
Mario Ferraro	AGE:26	PO:0	OV:74
Aaron Ekblad	AGE:28	PO:0	OV:74
Cam York	AGE:23	PO:0	OV:72
Andrew Peeke	AGE:26	PO:0	OV:70
Vincent Desharnais	AGE:28	PO:0	OV:68
Nick DeSimone	AGE:30	PO:0	OV:62
Radim Simek	AGE:32	PO:0	OV:59
Aaron Ness	AGE:34	PO:0	OV:58

Chris Harpur	AGE:28	PO:0	OV:55
Clifford Watson	AGE:31	PO:0	OV:54
Connor McCarthy	AGE:28	PO:0	OV:48
Johannes Kinnvall	AGE:27	PO:0	OV:48
Ziyat Paigin	AGE:29	PO:0	OV:48
John Nyberg	AGE:28	PO:0	OV:48
Ian McCoshen	AGE:29	PO:0	OV:48
Ville Pokka	AGE:30	PO:0	OV:48

David Rittich	AGE:32	PO:0	OV:70
Mackenzie Blackwood	AGE:28	PO:0	OV:66
Aleksei Kolosov (R)	AGE:23	PO:0	OV:60
Michael Houser	AGE:32	PO:0	OV:60
Remi Poirier (R)	AGE:23	PO:0	OV:55
Marcus Hogberg	AGE:30	PO:0	OV:49

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
Alexandr Darin	Pittsburgh Penguins	2019	127
Alfons Malmstrom	Pittsburgh Penguins	2016	125
Benjamin Mirageas	Pittsburgh Penguins	2017	97
Billy Constantinou	Pittsburgh Penguins	2019	174
Connor Hall	Pittsburgh Penguins	2016	95
Connor Hvidston	Pittsburgh Penguins	2022	160
Connor McClennon	Pittsburgh Penguins	2020	140
Cooper Moore	Pittsburgh Penguins	2019	171
Daimon Gardner	Pittsburgh Penguins	2022	137
Denis Gabdrakhmanov	Pittsburgh Penguins	2024	208
Dmitry Gamzin	Pittsburgh Penguins	2024	112
Emmitt Finnie	Pittsburgh Penguins	2023	212
Eric Pohlkamp	Pittsburgh Penguins	2023	148
Frederik Dichow	Pittsburgh Penguins	2019	163
Garin Bjorklund	Pittsburgh Penguins	2020	204
Ivan Yunin	Pittsburgh Penguins	2024	144
Jakub Stancl	Pittsburgh Penguins	2023	124
Jakub Vondras	Pittsburgh Penguins	2022	200
Jared Wright	Pittsburgh Penguins	2022	192
Malte Setkov	Pittsburgh Penguins	2017	128
Pavel Moysevich	Pittsburgh Penguins	2024	80
Roman Schmidt	Pittsburgh Penguins	2021	116
Rudy Guimond	Pittsburgh Penguins	2023	180
Shai Buium	Pittsburgh Penguins	2021	37
Trevor Connelly	Pittsburgh Penguins	2024	16
Ty Mueller	Pittsburgh Penguins	2023	116
Vyacheslav Peksa	Pittsburgh Penguins	2021	197
Yaroslav Korostelyov	Pittsburgh Penguins	2024	176
Yegor Yegorov	Pittsburgh Penguins	2023	188
Yevgeni Volokhin	Pittsburgh Penguins	2023	162

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2025	PIT		PIT	PIT	PIT	PIT	PIT
2026	PIT	PIT CAR	PIT		PIT	PIT	PIT
2027	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2028	PIT	PIT	PIT	PIT	PIT	PIT	PIT
2029	PIT	PIT	PIT	PIT	PIT	PIT	PIT
Conditional Draft Picks

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

Pittsburgh Penguins Trade History

[09.10.2024 08:04:11] - TRADE : From Winnipeg Jets to Pittsburgh Penguins : Vincent Desharnais (68).
[09.10.2024 08:04:11] - TRADE : From Pittsburgh Penguins to Winnipeg Jets : Y:2026-RND:4-PIT.
[20.09.2024 13:57:10] - Dominic Franco was added to Pittsburgh Penguins.
[20.09.2024 13:55:01] - Tyler Spezia was added to Pittsburgh Penguins.
[20.09.2024 13:53:44] - Chris Harpur was added to Pittsburgh Penguins.
[20.09.2024 13:51:57] - Johannes Kinnvall was added to Pittsburgh Penguins.
[20.09.2024 13:48:43] - Connor McCarthy was added to Pittsburgh Penguins.
[20.09.2024 13:47:00] - Cody Hodgson was added to Pittsburgh Penguins.
[18.08.2024 19:54:24] - Salt Lake City Lynx hired Dan Hinote for $250,000 for 1 year(s).
[07.08.2024 20:50:57] - TRADE : From Carolina Hurricanes to Pittsburgh Penguins : Jamieson Rees (53), Y:2026-RND:2-CAR.
[07.08.2024 20:50:57] - TRADE : From Pittsburgh Penguins to Carolina Hurricanes : Tyler Toffoli (74).
[29.07.2024 23:54:19] - Pittsburgh Penguins drafts Denis Gabdrakhmanov as the #208 overall pick in the Entry Draft of year 2024.
[29.07.2024 23:23:23] - Pittsburgh Penguins drafts Yaroslav Korostelyov as the #176 overall pick in the Entry Draft of year 2024.
[29.07.2024 22:53:35] - Pittsburgh Penguins drafts Ivan Yunin as the #144 overall pick in the Entry Draft of year 2024.
[29.07.2024 22:24:54] - Pittsburgh Penguins drafts Dmitry Gamzin as the #112 overall pick in the Entry Draft of year 2024.
[29.07.2024 21:53:02] - Pittsburgh Penguins drafts Pavel Moysevich as the #80 overall pick in the Entry Draft of year 2024.
[29.07.2024 21:01:37] - Pittsburgh Penguins drafts Trevor Connelly as the #16 overall pick in the Entry Draft of year 2024.
[28.07.2024 21:16:17] - Sean Malone was added to Pittsburgh Penguins.
[28.07.2024 21:15:41] - Christopher Brown was released.
[28.07.2024 21:15:41] - Pittsburgh Penguins paid $0 to release Christopher Brown.
[28.07.2024 21:14:54] - Ville Pokka was added to Pittsburgh Penguins.
[28.07.2024 21:12:59] - Dominik Bokk was added to Pittsburgh Penguins.
[28.07.2024 13:37:36] - Sean Malone was released.
[28.07.2024 13:37:36] - Pittsburgh Penguins paid $0 to release Sean Malone.
[28.07.2024 13:32:33] - Dominik Bokk was released.
[28.07.2024 13:32:33] - Pittsburgh Penguins paid $0 to release Dominik Bokk.
[28.07.2024 13:30:49] - Ville Pokka was released.
[28.07.2024 13:30:49] - Pittsburgh Penguins paid $0 to release Ville Pokka.
[28.07.2024 13:30:18] - Daniel O'Regan was released.
[28.07.2024 13:30:18] - Pittsburgh Penguins paid $0 to release Daniel O'Regan.

[04.01.2025 22:44:52] Mackenzie Blackwood from Pittsburgh Penguins is back from Exhaustion.
[03.01.2025 22:34:21] Ian McCoshen from Salt Lake City Lynx is back from Fractured Metatarsal (Left Foot) Injury.
[02.01.2025 23:49:20] Both Pittsburgh Penguins and Salt Lake City Lynx lines for next game are empty. Current rosters/lines are not erased.
[02.01.2025 23:49:16] Mackenzie Blackwood from Pittsburgh Penguins injured (Exhaustion)
[02.01.2025 23:49:16] Pro Game #593 - Jason Robertson from Pittsburgh Penguins has scored a Hat Trick!
[01.01.2025 21:25:53] Radim Simek from Salt Lake City Lynx is back from Left Eye Injury.
[01.01.2025 01:19:49] J.J. Piccinich from Salt Lake City Lynx is back from Concussion Injury.
[01.01.2025 01:19:49] Both Pittsburgh Penguins and Salt Lake City Lynx lines for next game are empty. Current rosters/lines are not erased.
[01.01.2025 01:19:48] Game 624 - J.J. Piccinich from Salt Lake City Lynx is injured (Concussion) and is out for 4 days.
[01.01.2025 01:19:37] Auto Lines Partial Function has been run for Salt Lake City Lynx.
[01.01.2025 01:19:37] Salt Lake City Lynx (Pittsburgh Penguins) lines errors : Normal line # 2 LW is empty. Normal line # 2 Defense #2 is empty. Unknown Player is used twice in Normal line #2 Normal line # 3 C is empty. Normal line # 4 RW is empty. 4 vs 4 line 1 C is empty. 4 vs 4 line 1 Defense #1 is empty. PK3 line 1 Defense #1 is empty. Unknown Player is used twice in 4 vs 4 line#1 PP line2 RW is empty. PK line 2 C is empty. PP line 2 Defense #2 is empty. PK line 2 Defense #2 is empty. Unknown Player is used twice in PP line#2 Unknown Player is used twice in PK line#2 LastMinOff line RW is empty. LastMinDef line RW is empty. Extra Defense #0 is empty. Extra Defense #1 is empty. Extra Defense #4 is empty. Penalty Shot Player #4 is empty.
[01.01.2025 01:19:37] Auto Roster Partial Function has been run for Pittsburgh Penguins.
[01.01.2025 01:19:37] Salt Lake City Lynx roster errors : Not enough Left Wings available in Farm Team! 3 Dressed. 4 Required. Some errors will be automatically fixed.
[31.12.2024 00:14:42] Pittsburgh Penguins lines for next game are empty. Current rosters/lines are not erased.
[29.12.2024 18:11:41] Axel Jonsson-Fjallby from Salt Lake City Lynx is back from Exhaustion.
[29.12.2024 18:11:15] Salt Lake City Lynx lines for next game are empty. Current rosters/lines are not erased.
[29.12.2024 18:11:15] Axel Jonsson-Fjallby from Salt Lake City Lynx is injured from Exhaustion.
[29.12.2024 18:11:15] Game 608 - Connor McCarthy from Salt Lake City Lynx is injured (Right Hip) and is out for 2 months.
[29.12.2024 18:10:45] Salt Lake City Lynx lines for next game are empty. Current rosters/lines are not erased.
[29.12.2024 18:10:38] Auto Lines Partial Function has been run for Salt Lake City Lynx.
[29.12.2024 18:10:38] Auto Roster Farm Only Function has been run for Pittsburgh Penguins.
[29.12.2024 18:10:38] Salt Lake City Lynx roster errors : Not enough Defenseman available in Farm Team! 5 Dressed. 6 Required. Some errors will be automatically fixed.
[29.12.2024 18:10:25] Clifford Watson from Salt Lake City Lynx is back from Exhaustion.
[28.12.2024 00:05:44] Both Pittsburgh Penguins and Salt Lake City Lynx lines for next game are empty. Current rosters/lines are not erased.
[28.12.2024 00:05:43] Clifford Watson from Salt Lake City Lynx is injured from Exhaustion.
[28.12.2024 00:05:33] Auto Lines Partial Function has been run for Salt Lake City Lynx.
[28.12.2024 00:05:33] Salt Lake City Lynx (Pittsburgh Penguins) lines errors : Normal line # 1 LW is empty. Normal line # 3 C is empty. PP line1 LW is empty. 4 vs 4 line 1 C is empty. PK3 line 1 RW is empty. PK line 2 C is empty. Extra Forward #1 is empty. Penalty Shot Player #3 is empty. Extra Forward #4 is empty.
[28.12.2024 00:05:33] Auto Lines Partial Function has been run for Pittsburgh Penguins.
[28.12.2024 00:05:33] Pittsburgh Penguins lines errors : Starting Goalie is empty.
[28.12.2024 00:05:33] Auto Roster Partial Function has been run for Pittsburgh Penguins.
[28.12.2024 00:05:33] Pittsburgh Penguins roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[27.12.2024 00:47:34] David Rittich from Pittsburgh Penguins is back from Exhaustion.
[27.12.2024 00:47:34] Jamieson Rees from Salt Lake City Lynx is back from Exhaustion.
[26.12.2024 00:41:53] Both Pittsburgh Penguins and Salt Lake City Lynx lines for next game are empty. Current rosters/lines are not erased.
[26.12.2024 00:41:52] Jamieson Rees from Salt Lake City Lynx is injured from Exhaustion.
[26.12.2024 00:41:51] David Rittich from Pittsburgh Penguins injured (Exhaustion)

Connor McCarthy is out for 1 month because of a Right Hip Injury.

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
1	Bo Horvat	257	98	119	217	2	77	385	465	800	12.25%	105	5154	20.06	28	46	74	77	1	3	4	12	10	9	56.64%	3	0.84	11	47
2	Clayton Keller	283	80	125	205	-7	130	351	357	835	9.58%	95	5480	19.36	28	45	73	114	4	3	7	13	14	7	36.14%	0	0.75	7	37
3	Jack Hughes	280	57	93	150	-22	14	218	308	697	8.18%	84	4488	16.03	7	23	30	56	0	1	1	6	11	5	43.04%	0	0.67	2	5
4	Tyler Toffoli	245	55	87	142	-15	29	306	300	588	9.35%	88	4312	17.60	12	35	47	61	1	1	2	15	7	5	41.04%	0	0.66	7	22
5	Jason Robertson	285	59	80	139	-4	60	312	244	571	10.33%	91	4252	14.92	14	22	36	57	3	1	4	12	4	8	31.96%	1	0.65	6	26

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
1	Frederik Andersen	115	62	40	10	0.918	2.40	6668	4	3	267	3267	1686	6	5	0.793	82
2	Mackenzie Blackwood	108	44	41	14	0.912	2.63	6224	8	2	273	3091	1686	3	4	0.763	80
3	Marcus Hogberg	42	14	22	5	0.904	2.90	2463	0	1	119	1238	675	0	1	0.808	26
4	David Rittich	36	12	19	2	0.900	3.00	1998	0	0	100	999	556	1	0	0.700	10

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
Regular Season
2020	82	20	40	0	4	4	9	5	180	229	-49	41	11	17	0	2	3	4	4	96	112	-16	41	9	23	0	2	1	5	1	84	117	-33	75	180	278	458	3	3	46	49	72	17	2203	643	732	813	57	2537	802	490	1583	235	40	17.02%	235	53	77.45%	1	713	1530	46.60%	893	1783	50.08%	566	1076	52.60%	1608	835	1820	799	1568	788
2022	82	34	27	0	1	0	8	12	227	212	15	41	13	15	0	1	0	3	9	112	116	-4	41	21	12	0	0	0	5	3	115	96	19	98	227	378	605	3	2	45	82	91	13	2509	781	814	901	86	2397	810	537	1633	289	67	23.18%	253	59	76.68%	7	843	1803	46.76%	837	1709	48.98%	568	1079	52.64%	1818	1042	1705	759	1496	751
2023	82	30	34	0	3	0	9	6	221	237	-16	41	14	18	0	1	0	5	3	107	119	-12	41	16	16	0	2	0	4	3	114	118	-4	90	221	363	584	3	1	44	81	84	19	2315	630	817	848	75	2452	814	602	1583	270	60	22.22%	240	67	72.08%	4	872	1673	52.12%	755	1549	48.74%	613	1132	54.15%	1723	946	1752	757	1524	772
2024	39	10	21	0	2	1	2	3	95	117	-22	20	6	9	0	1	1	1	2	51	60	-9	19	4	12	0	1	0	1	1	44	57	-13	32	95	157	252	1	0	18	27	46	7	1093	319	336	431	32	1219	360	305	765	117	22	18.80%	131	31	76.34%	1	379	766	49.48%	347	758	45.78%	230	529	43.48%	801	438	836	367	728	365
Total Regular Season	285	94	122	0	10	5	28	26	723	795	-72	143	44	59	0	5	4	13	18	366	407	-41	142	50	63	0	5	1	15	8	357	388	-31	295	723	1176	1899	10	6	153	239	293	56	8120	2373	2699	2993	250	8605	2786	1934	5564	911	189	20.75%	859	210	75.55%	13	2807	5772	48.63%	2832	5799	48.84%	1977	3816	51.81%	5952	3262	6115	2684	5318	2677
Playoff
Total Playoff											0											0	0	0	0	0	0	0	0	0	0	0	0																						0%			0%				0%			0%			0%	0	0	0	0	0	0

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: 39 \| W: 14 \| L: 21 \| OTL: 4 \| P: 32 GF: 95 \| GA: 117 \| PP%: 18.80% \| PK%: 76.34% GM : Stephan \| Morale : 84 \| Team Overall : 70 Next Games #615 vs Florida Panthers