Canadian Hockey League

Eagles
Home
Roster
Scoring
Contracts
Lines
Team Stats
Schedule
Depth
Career

MapleLeafs
0-0-0, 0pts

Day 3

RedWings
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Penguins
1-0-0, 2pts

Day 5

RedWings
0-0-0, 0pts

Team Stats
W1	Streak	N/A
0-0-0	Home Record	0-0-0
1-0-0	Away Record	0-0-0
1-0-0	Last 10 Games	0-0-0
6.00	Goals Per Game	0
0.00	Goals Against Per Game	0
33.33%	Power Play Percentage	0%
100.00%	Penalty Kill Percentage	0%

Blackhawks
1-0-0, 2pts

Day 6

RedWings
0-0-0, 0pts

Team Stats
W1	Streak	N/A
1-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
1-0-0	Last 10 Games	0-0-0
4.00	Goals Per Game	0
2.00	Goals Against Per Game	0
0.00%	Power Play Percentage	0%
100.00%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Injury / Suspension
No Injury or Suspension.

Team Info
	General Manager	Vincent Tardif
	Coach	Mike Sullivan
	Division	Atlantic
	Conference	Eastern
	Captain
	Assistant #1
	Assistant #2
Uniforms

Arena Info
	Name	Presidential Palace
	Capacity	25,000
	Attendance
	Season Tickets	10,000
Roster Info
	Pro Team	20
	Farm Team	30
	Contract Limit	50 / 70
	Prospects	13
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	85,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	20
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	188,689,915$
	Projected Bank Account	188,689,915$
Team History
	This Season	0-0-0 (0PTS)
	History	901-526-118 (0.583%)
	Playoff Appearances	15
	Playoff Record (W-L)	125-89
	Stanley Cup	3

Show or Hide Column

Filter Tips

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

#	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	Artemi Panarin		X			100.00	45	42	84	99	49	88	99	99	40	99	99	70	99	90	89	25	24	83	0	33	1	1$
2	David Pastrnak			X		100.00	60	50	79	99	59	88	99	99	40	99	97	67	65	80	84	50	22	83	0	28	4	10,778,000$
3	Elias Pettersson	X				100.00	76	44	87	96	53	87	99	90	86	95	84	85	74	76	82	60	23	82	0	26	1	7,078,000$
4	Jason Robertson		X			100.00	62	52	85	91	68	85	99	85	40	91	79	74	94	74	80	65	20	78	0	25	2	10,458,000$
5	Mathew Barzal			X		100.00	56	47	82	94	58	88	98	86	78	98	74	75	62	78	83	55	20	78	0	27	2	7,550,000$
6	Carter Verhaeghe	X				100.00	59	45	81	92	55	84	95	84	79	81	87	69	40	82	83	45	21	76	0	29	1	4,250,000$
7	Mikael Backlund	X				100.00	60	50	84	83	64	87	99	65	85	64	65	84	48	94	91	15	20	72	0	35	1	2,378,000$
8	Dylan Guenther			X		100.00	57	44	84	89	53	82	74	77	40	71	83	79	40	66	74	85	25	72	0	21	2	925,000$
9	Jordan Staal	X				100.00	82	57	79	76	79	80	98	60	93	61	60	81	40	96	88	10	24	70	0	36	2	1,250,000$
10	Michael McCarron	X				100.00	88	85	61	75	89	76	91	58	88	52	64	75	40	82	79	45	20	67	0	29	2	1,000,000$
11	Logan Stankoven (R)		X			100.00	60	38	87	88	40	79	60	69	40	67	71	78	40	66	73	85	26	67	0	21	3	925,000$
12	Noel Acciari	X				100.00	93	49	86	76	62	76	81	50	90	44	56	87	40	90	83	25	21	65	0	33	3	1,100,000$
13	Victor Hedman				X	100.00	60	67	71	86	98	91	96	88	40	99	71	86	71	92	92	20	27	82	0	34	4	9,228,000$
14	John Carlson				X	100.00	60	55	80	84	75	93	99	74	40	82	65	89	73	92	93	20	21	79	0	34	3	7,878,000$
15	Ryan McDonagh				X	100.00	52	53	82	81	71	86	94	64	40	72	55	87	40	94	90	15	25	74	0	35	2	3,750,000$
16	Rasmus Andersson				X	100.00	53	52	78	84	64	89	96	68	40	72	64	85	80	80	85	50	20	74	0	28	3	5,000,000$
17	Nick Seeler				X	100.00	84	62	68	75	66	78	92	53	40	54	52	94	40	86	82	35	26	73	0	31	1	850,000$
18	Mario Ferraro				X	100.00	77	51	81	79	66	88	96	57	40	59	55	86	40	76	82	60	22	73	0	26	1	3,750,000$
Scratches
Farm Team
1	Nic Dowd		X			100.00	83	51	75	80	60	80	87	59	83	53	65	87	40	92	86	20	19	68	0	34	1	1,500,000$
2	Jonatan Berggren			X		100.00	44	47	87	85	58	73	51	66	40	67	64	70	40	72	73	70	23	64	0	24	1	825,000$
3	Thomas Bordeleau	X				100.00	50	40	77	85	45	80	62	62	88	55	68	70	99	68	74	80	20	64	0	22	2	925,000$
4	Nick Cousins	X				100.00	84	50	71	79	52	75	90	54	40	50	58	67	69	86	81	35	23	63	0	31	3	850,000$
5	Oliver Wahlstrom			X		100.00	66	50	85	76	65	73	65	53	40	50	55	64	73	72	73	70	17	60	0	24	1	1,120,000$
6	Danil Gushchin		X			100.00	39	38	81	86	47	65	55	65	40	70	59	50	40	68	67	80	19	60	0	22	2	925,000$
7	Brennan Othmann (R)		X			100.00	54	54	71	89	54	76	66	55	40	54	56	50	40	66	71	85	25	59	0	21	3	925,000$
8	Samu Tuomaala (R)		X			100.00	50	52	87	92	47	78	68	51	40	53	48	59	40	66	72	85	23	59	0	21	3	925,000$
9	Rasmus Kupari	X				100.00	60	51	87	75	66	70	62	46	82	43	50	61	40	72	71	70	26	57	0	24	1	1,112,000$
10	Michal Teply			X		100.00	73	66	87	75	61	81	71	42	40	41	44	55	80	70	76	75	17	56	0	23	3	850,000$
11	Amadeus Lombardi (R)	X				100.00	43	40	86	91	45	79	69	40	70	45	36	65	40	66	73	85	23	56	0	21	3	925,000$
12	Henri Jokiharju				X	100.00	69	48	84	79	61	81	94	57	40	59	55	76	40	74	78	65	26	69	0	25	1	1,578,000$
13	Jake Bean				X	100.00	49	47	81	77	59	77	92	54	40	50	57	77	40	76	77	60	21	66	0	26	3	1,418,000$
14	Caleb Jones				X	100.00	72	48	84	77	60	70	60	53	40	56	50	68	40	78	74	55	19	63	0	27	3	2,300,000$
15	Stanislav Svozil (R)				X	100.00	55	53	82	87	57	61	56	43	40	46	41	61	40	66	64	85	19	58	0	21	3	925,000$
16	Lassi Thomson				X	100.00	74	46	73	75	59	71	66	40	40	38	41	50	40	72	72	70	27	57	0	24	1	1,017,500$
17	Emil Andrae				X	100.00	41	39	68	77	43	65	60	48	40	56	40	50	40	68	67	80	23	54	0	22	2	925,000$
18	Matthew Strome		X			100.00	79	67	80	75	72	60	50	41	40	41	41	70	40	74	67	65	19	55	0	25	1	1,119,800$
19	Brayden Tracey		X			100.00	59	60	78	75	56	64	54	44	40	44	43	61	40	70	67	75	25	54	0	23	1	1,017,500$
20	Lucas Elvenes	X				100.00	55	56	84	78	50	60	50	53	70	45	44	50	40	74	67	65	19	53	0	25	2	1,000,000$
21	Oskar Olausson		X			100.00	53	47	78	75	56	60	50	46	40	39	53	55	40	68	64	80	20	53	0	22	2	925,000$
22	Ryder Korczak (R)		X			100.00	50	54	82	90	45	76	66	37	40	33	41	56	40	68	72	80	20	53	0	22	3	925,000$
23	Danila Klimovich			X		100.00	61	54	73	75	67	60	50	32	40	27	37	64	40	66	63	85	26	50	0	21	1	925,000$
24	Zach Dean (R)		X			100.00	48	44	80	89	52	60	50	37	40	28	45	50	40	66	63	85	26	50	0	21	3	925,000$
25	Ville Koivunen (R)	X				100.00	50	45	83	75	54	60	50	28	70	20	37	50	40	66	63	85	27	46	0	21	2	925,000$
26	Dmitry Kuzmin (R)				X	100.00	47	47	83	90	47	55	50	33	40	29	37	57	40	66	61	85	26	54	0	21	3	925,000$

	TEAM AVERAGE					100.00	61	51	80	83	59	76	75	58	52	58	58	69	51	76	76	60	22	65

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Laurent Brossoit	100.00	97	58	60	92	93	95	94	97	97	94	77	86	91	35	23	88	0	31	2	2,200,000$
2	Jake Oettinger	100.00	86	96	99	99	80	77	78	79	78	76	95	76	77	60	20	81	0	26	1	4,300,000$
Scratches
Farm Team
1	Calvin Pickard	100.00	89	58	60	89	80	83	81	80	80	76	96	88	86	30	18	78	0	32	4	1,350,000$
2	Jack Campbell	100.00	81	60	63	93	64	61	62	63	60	62	73	88	75	30	19	67	0	32	2	1,475,000$
3	Mads Sogaard	100.00	77	59	62	97	64	64	62	63	64	61	76	72	68	70	20	66	0	24	3	925,000$
4	Arvid Soderblom	100.00	75	69	69	87	50	50	50	50	50	50	40	74	62	65	20	58	0	25	1	825,000$

	TEAM AVERAGE	100.00	84	67	69	93	72	72	71	72	72	70	76	81	77	48	20	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mike Sullivan	72	87	82	97	86	87	58	USA	56	2	5,000,000$

Show or Hide Column

Filter Tips

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

#	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

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	2038	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	2039	2040	2041	2042	Link
Artemi Panarin	RedWings	LW	33	1991-10-30	No	175 Lbs	6 ft0	Yes	No	Yes	1	Pro Only	1$	1$	1$	No	UFA				Link / NHL Link
Carter Verhaeghe	RedWings	C	29	1995-08-14	No	180 Lbs	6 ft2	No	No	Yes	1	Pro & Farm	4,250,000$	4,250,000$	4,250,000$	No	UFA				Link / NHL Link
David Pastrnak	RedWings	RW	28	1996-05-25	No	196 Lbs	6 ft0	No	No	Yes	4	Pro Only	10,778,000$	10,778,000$	10,778,000$	No	10,778,000$	10,778,000$	10,778,000$	UFA	Link / NHL Link
Dylan Guenther	RedWings	RW	21	2003-04-10	No	175 Lbs	6 ft2	No	No	No	2	Pro & Farm	925,000$	925,000$	925,000$	No	925,000$	RFA			Link / NHL Link
Elias Pettersson	RedWings	C	26	1998-11-12	No	176 Lbs	6 ft2	No	No	Yes	1	Pro Only	7,078,000$	7,078,000$	7,078,000$	No	RFA				Link / NHL Link
Jake Oettinger	RedWings	G	26	1998-12-18	No	205 Lbs	6 ft5	No	No	Yes	1	Pro & Farm	4,300,000$	4,300,000$	4,300,000$	No	RFA				Link / NHL Link
Jason Robertson	RedWings	LW	25	1999-07-22	No	202 Lbs	6 ft3	No	No	Yes	2	Pro Only	10,458,000$	10,458,000$	10,458,000$	No	10,458,000$	RFA			Link / NHL Link
John Carlson	RedWings	D	34	1990-01-10	No	215 Lbs	6 ft3	No	No	Yes	3	Pro Only	7,878,000$	7,878,000$	7,878,000$	No	7,878,000$	7,878,000$	UFA		Link / NHL Link
Jordan Staal	RedWings	C	36	1988-09-10	No	220 Lbs	6 ft4	Yes	No	No	2	Pro & Farm	1,250,000$	1,250,000$	1,250,000$	No	1,250,000$	UFA			Link / NHL Link
Laurent Brossoit	RedWings	G	31	1993-03-23	No	200 Lbs	6 ft3	No	No	Yes	2	Pro & Farm	2,200,000$	2,200,000$	2,200,000$	No	2,200,000$	UFA			Link / NHL Link
Logan Stankoven	RedWings	LW	21	2003-02-26	Yes	171 Lbs	5 ft8	No	No	No	3	Pro & Farm	925,000$	925,000$	925,000$	No	925,000$	925,000$	RFA		NHL Link
Mario Ferraro	RedWings	D	26	1998-09-17	No	209 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	RFA				Link / NHL Link
Mathew Barzal	RedWings	RW	27	1997-05-26	No	190 Lbs	6 ft1	No	No	Yes	2	Pro Only	7,550,000$	7,550,000$	7,550,000$	No	7,550,000$	UFA			Link / NHL Link
Michael McCarron	RedWings	C	29	1995-03-07	No	232 Lbs	6 ft6	No	No	No	2	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	No	1,000,000$	UFA			Link / NHL Link
Mikael Backlund	RedWings	C	35	1989-03-17	No	206 Lbs	6 ft0	No	No	Yes	1	Pro & Farm	2,378,000$	2,378,000$	2,378,000$	No	UFA				Link / NHL Link
Nick Seeler	RedWings	D	31	1993-06-03	No	197 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	850,000$	850,000$	No	UFA				Link / NHL Link
Noel Acciari	RedWings	C	33	1991-12-01	No	209 Lbs	5 ft10	Yes	No	No	3	Pro & Farm	1,100,000$	1,100,000$	1,100,000$	No	1,100,000$	1,100,000$	UFA		Link / NHL Link
Rasmus Andersson	RedWings	D	28	1996-10-27	No	202 Lbs	6 ft1	No	No	Yes	3	Pro Only	5,000,000$	5,000,000$	5,000,000$	No	5,000,000$	5,000,000$	UFA		Link / NHL Link
Ryan McDonagh	RedWings	D	35	1989-06-13	No	215 Lbs	6 ft1	No	No	Yes	2	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	UFA			Link / NHL Link
Victor Hedman	RedWings	D	34	1990-12-18	No	246 Lbs	6 ft7	No	No	Yes	4	Pro Only	9,228,000$	9,228,000$	9,228,000$	No	9,228,000$	9,228,000$	9,228,000$	UFA	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	29.40	201 Lbs	6 ft2	2.05	4,232,400$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
84,648,001$	62,042,000$	34,909,000$	20,006,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Artemi Panarin	Elias Pettersson	David Pastrnak	41	0	2	3
2	Jason Robertson	Carter Verhaeghe	Mathew Barzal	35	0	2	3
3	Logan Stankoven	Mikael Backlund	Dylan Guenther	15	1	3	1
4	Michael McCarron	Jordan Staal	Noel Acciari	9	0	4	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Hedman	John Carlson	40	1	3	1
2	Rasmus Andersson	Ryan McDonagh	31	1	3	1
3	Nick Seeler	Mario Ferraro	20	1	3	1
4	John Carlson	Victor Hedman	9	0	4	1

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Artemi Panarin	Elias Pettersson	David Pastrnak	60	0	0	5
2	Jason Robertson	Carter Verhaeghe	Mathew Barzal	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Hedman	John Carlson	60	0	1	4
2	Rasmus Andersson	Mario Ferraro	40	0	2	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Elias Pettersson	Noel Acciari	60	0	5	0
2	Jordan Staal	Michael McCarron	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ryan McDonagh	Nick Seeler	60	0	5	0
2	John Carlson	Victor Hedman	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Elias Pettersson	60	0	5	0	Ryan McDonagh	Nick Seeler	60	0	5	0
2	Jordan Staal	40	0	5	0	Rasmus Andersson	Victor Hedman	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Elias Pettersson	Artemi Panarin	60	0	3	2
2	Carter Verhaeghe	Jason Robertson	40	0	3	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ryan McDonagh	Rasmus Andersson	60	0	3	2
2	Nick Seeler	Mario Ferraro	40	0	3	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Artemi Panarin	Elias Pettersson	David Pastrnak	Ryan McDonagh	Rasmus Andersson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Artemi Panarin	Elias Pettersson	David Pastrnak	Ryan McDonagh	Rasmus Andersson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jason Robertson, Carter Verhaeghe, Mikael Backlund	Jason Robertson, Carter Verhaeghe	Jason Robertson

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Rasmus Andersson, Nick Seeler, Mario Ferraro	Rasmus Andersson	Rasmus Andersson, Nick Seeler

Penalty Shots
David Pastrnak, Artemi Panarin, Elias Pettersson, Mathew Barzal, Jason Robertson

Goalie
#1 : Laurent Brossoit, #2 : Jake Oettinger

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	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
	Total	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	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

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

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0.00%	0	0	0.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score
3	15	MapleLeafs	-	RedWings	-
5	27	Penguins	-	RedWings	-
6	36	Blackhawks	-	RedWings	-
8	51	RedWings	-	Stars	-
12	80	Bruins	-	RedWings	-
Trade Deadline --- Trades can’t be done after this day is simulated!
13	89	RedWings	-	Blackhawks	-

Depth Chart

Left Wing

Center

Right Wing

Artemi Panarin

AGE:33
SK:		99
EN:		88
DU:		99
PH:		99
PA:		99
SC:		99
DF:		70
Jason Robertson

AGE:25
SK:		91
EN:		85
DU:		99
PH:		85
PA:		91
SC:		79
DF:		74
Nic Dowd

AGE:34
SK:		80
EN:		80
DU:		87
PH:		59
PA:		53
SC:		65
DF:		87
Logan Stankoven (R)

AGE:21
SK:		88
EN:		79
DU:		60
PH:		69
PA:		67
SC:		71
DF:		78
Danil Gushchin

AGE:22
SK:		86
EN:		65
DU:		55
PH:		65
PA:		70
SC:		59
DF:		50
Brennan Othmann (R)

AGE:21
SK:		89
EN:		76
DU:		66
PH:		55
PA:		54
SC:		56
DF:		50
Samu Tuomaala (R)

AGE:21
SK:		92
EN:		78
DU:		68
PH:		51
PA:		53
SC:		48
DF:		59
Matthew Strome

AGE:25
SK:		75
EN:		60
DU:		50
PH:		41
PA:		41
SC:		41
DF:		70
Brayden Tracey

AGE:23
SK:		75
EN:		64
DU:		54
PH:		44
PA:		44
SC:		43
DF:		61
Oskar Olausson

AGE:22
SK:		75
EN:		60
DU:		50
PH:		46
PA:		39
SC:		53
DF:		55
Ryder Korczak (R)

AGE:22
SK:		90
EN:		76
DU:		66
PH:		37
PA:		33
SC:		41
DF:		56
Zach Dean (R)

AGE:21
SK:		89
EN:		60
DU:		50
PH:		37
PA:		28
SC:		45
DF:		50

Elias Pettersson

AGE:26
SK:		96
EN:		87
DU:		99
PH:		90
PA:		95
SC:		84
DF:		85
Carter Verhaeghe

AGE:29
SK:		92
EN:		84
DU:		95
PH:		84
PA:		81
SC:		87
DF:		69
Mikael Backlund

AGE:35
SK:		83
EN:		87
DU:		99
PH:		65
PA:		64
SC:		65
DF:		84
Jordan Staal

AGE:36
SK:		76
EN:		80
DU:		98
PH:		60
PA:		61
SC:		60
DF:		81
Michael McCarron

AGE:29
SK:		75
EN:		76
DU:		91
PH:		58
PA:		52
SC:		64
DF:		75
Noel Acciari

AGE:33
SK:		76
EN:		76
DU:		81
PH:		50
PA:		44
SC:		56
DF:		87
Thomas Bordeleau

AGE:22
SK:		85
EN:		80
DU:		62
PH:		62
PA:		55
SC:		68
DF:		70
Nick Cousins

AGE:31
SK:		79
EN:		75
DU:		90
PH:		54
PA:		50
SC:		58
DF:		67
Rasmus Kupari

AGE:24
SK:		75
EN:		70
DU:		62
PH:		46
PA:		43
SC:		50
DF:		61
Amadeus Lombardi (R)

AGE:21
SK:		91
EN:		79
DU:		69
PH:		40
PA:		45
SC:		36
DF:		65
Lucas Elvenes

AGE:25
SK:		78
EN:		60
DU:		50
PH:		53
PA:		45
SC:		44
DF:		50
Ville Koivunen (R)

AGE:21
SK:		75
EN:		60
DU:		50
PH:		28
PA:		20
SC:		37
DF:		50

David Pastrnak

AGE:28
SK:		99
EN:		88
DU:		99
PH:		99
PA:		99
SC:		97
DF:		67
Mathew Barzal

AGE:27
SK:		94
EN:		88
DU:		98
PH:		86
PA:		98
SC:		74
DF:		75
Dylan Guenther

AGE:21
SK:		89
EN:		82
DU:		74
PH:		77
PA:		71
SC:		83
DF:		79
Jonatan Berggren

AGE:24
SK:		85
EN:		73
DU:		51
PH:		66
PA:		67
SC:		64
DF:		70
Oliver Wahlstrom

AGE:24
SK:		76
EN:		73
DU:		65
PH:		53
PA:		50
SC:		55
DF:		64
Michal Teply

AGE:23
SK:		75
EN:		81
DU:		71
PH:		42
PA:		41
SC:		44
DF:		55
Danila Klimovich

AGE:21
SK:		75
EN:		60
DU:		50
PH:		32
PA:		27
SC:		37
DF:		64

Defense #1

Defense #2

Goalie

Victor Hedman

AGE:34
SK:		86
EN:		91
DU:		96
PH:		88
PA:		99
SC:		71
DF:		86
John Carlson

AGE:34
SK:		84
EN:		93
DU:		99
PH:		74
PA:		82
SC:		65
DF:		89
Rasmus Andersson

AGE:28
SK:		84
EN:		89
DU:		96
PH:		68
PA:		72
SC:		64
DF:		85
Ryan McDonagh

AGE:35
SK:		81
EN:		86
DU:		94
PH:		64
PA:		72
SC:		55
DF:		87
Mario Ferraro

AGE:26
SK:		79
EN:		88
DU:		96
PH:		57
PA:		59
SC:		55
DF:		86
Nick Seeler

AGE:31
SK:		75
EN:		78
DU:		92
PH:		53
PA:		54
SC:		52
DF:		94
Henri Jokiharju

AGE:25
SK:		79
EN:		81
DU:		94
PH:		57
PA:		59
SC:		55
DF:		76

Jake Bean

AGE:26
SK:		77
EN:		77
DU:		92
PH:		54
PA:		50
SC:		57
DF:		77
Caleb Jones

AGE:27
SK:		77
EN:		70
DU:		60
PH:		53
PA:		56
SC:		50
DF:		68
Stanislav Svozil (R)

AGE:21
SK:		87
EN:		61
DU:		56
PH:		43
PA:		46
SC:		41
DF:		61
Lassi Thomson

AGE:24
SK:		75
EN:		71
DU:		66
PH:		40
PA:		38
SC:		41
DF:		50
Dmitry Kuzmin (R)

AGE:21
SK:		90
EN:		55
DU:		50
PH:		33
PA:		29
SC:		37
DF:		57
Emil Andrae

AGE:22
SK:		77
EN:		65
DU:		60
PH:		48
PA:		56
SC:		40
DF:		50

Laurent Brossoit

AGE:31
SK:		97
AG:		93
RB:		95
SC:		94
HS:		97
RT:		97
DF:		94
Jake Oettinger

AGE:26
SK:		86
AG:		80
RB:		77
SC:		78
HS:		79
RT:		78
DF:		76
Calvin Pickard

AGE:32
SK:		89
AG:		80
RB:		83
SC:		81
HS:		80
RT:		80
DF:		76
Jack Campbell

AGE:32
SK:		81
AG:		64
RB:		61
SC:		62
HS:		63
RT:		60
DF:		62
Mads Sogaard

AGE:24
SK:		77
AG:		64
RB:		64
SC:		62
HS:		63
RT:		64
DF:		61
Arvid Soderblom

AGE:25
SK:		75
AG:		50
RB:		50
SC:		50
HS:		50
RT:		50
DF:		50

Prospects

Show or Hide Column

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick
Aleksi Heimosalmi	RedWings	2035	35
Ayrton Martino	RedWings	2035	45
Benjamin Gaudreau	RedWings	2035	49
Denis Smirnov	RedWings	2031	132
Evan Nause	RedWings	2035	54
Jack Peart	RedWings	2035	51
Jimmy Snuggerud	RedWings	2036	41
Marcus Davidsson	RedWings	2031	47
Sean Behrens	RedWings	2035	70
Simon Robertsson	RedWings	2035	42
Tomas Vomacka	RedWings	2031	192
Tristan Broz	RedWings	2035	61
Tristan Lennox	RedWings	2035	73

Draft Picks

Draft Picks
Year	R1	R2	R3	R4	R5	R6	R7
2039
2040
2041

RedWings Stat Leaders (Regular Season)

Show or Hide Column

#	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	Claude Giroux	751	314	586	900	223	215	616	2281	2568	12.23%	181	16937	22.55	88	217	305	611	5	6	11	70	40	16	53.86%	8	1.06	10	61
2	Steven Stamkos	764	394	461	855	236	452	1105	1445	3331	11.83%	196	17294	22.64	100	159	259	758	9	8	17	79	70	22	51.50%	14	0.99	10	41
3	Alex Tanguay	1542	259	426	685	-264	1721	1954	1967	2754	9.40%	921	25143	16.31	53	95	148	294	5	7	12	78	28	18	47.34%	1	0.54	5	35
4	Andrew Ladd	820	233	357	590	166	795	1559	1130	2217	10.51%	171	15111	18.43	50	111	161	445	4	4	8	49	40	9	37.86%	2	0.78	11	32
5	Kristopher Letang	661	153	401	554	111	468	876	1060	1402	10.91%	861	15852	23.98	91	129	220	731	2	9	11	24	22	9	0.00%	0	0.70	0	2

RedWings Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Henrik Lundqvist	617	369	194	43	0.902	2.91	36294	107	21	1758	18017	1866	30	8	0.806	237
2	Darcy Kuemper	184	108	57	16	0.902	2.87	10868	20	7	520	5312	0	10	2	0.679	78
3	Jaroslav Halak	128	65	51	8	0.903	3.01	7402	8	5	371	3841	0	4	4	0.818	33
4	Igor Shesterkin	76	50	23	2	0.911	2.29	4503	4	5	172	1941	0	6	1	0.000	0
5	Jack Campbell	89	49	18	11	0.907	2.71	4863	2	5	220	2355	0	3	0	0.611	36

RedWings Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2017	82	24	41	0	3	3	2	9	243	318	-75	41	11	19	0	3	2	0	6	119	151	-32	41	13	22	0	0	1	2	3	124	167	-43	57	243	405	648	1	1	0	61	96	81	2597	0	843	885	855	2714	905	1643	1856	287	52	18.12%	308	64	79.22%	5	1014	2081	48.73%	854	1840	46.41%	679	1499	45.30%	1703	965	1956	849	1495	714
2018	82	21	49	0	2	3	2	5	201	284	-83	41	13	25	0	0	1	1	1	103	141	-38	41	8	24	0	2	2	1	4	98	143	-45	49	201	331	532	0	2	0	52	87	58	2512	0	778	911	808	2606	869	1359	1976	191	31	16.23%	286	60	79.02%	6	962	2006	47.96%	832	1712	48.60%	632	1343	47.06%	1790	1045	1700	743	1472	717
2019	82	42	23	0	3	5	4	5	269	225	44	41	25	10	0	2	2	1	1	134	97	37	41	17	13	0	1	3	3	4	135	128	7	95	269	437	706	0	1	0	73	97	92	2579	0	850	843	856	2613	865	927	1861	241	40	16.60%	156	25	83.97%	4	995	2017	49.33%	970	2050	47.32%	612	1233	49.64%	1809	1045	1690	733	1485	757
2020	82	34	30	0	3	4	11	0	256	234	22	41	15	16	0	3	2	5	0	127	112	15	41	19	14	0	0	2	6	0	129	122	7	78	256	396	652	1	0	0	83	75	84	2569	0	847	826	874	2559	889	1128	1832	241	35	14.52%	206	37	82.04%	4	1124	2108	53.32%	1086	2112	51.42%	625	1218	51.31%	1836	1074	1674	728	1474	751
2021	82	45	22	0	2	4	5	4	329	242	87	41	22	11	0	0	3	2	3	161	126	35	41	23	11	0	2	1	3	1	168	116	52	98	329	572	901	0	4	0	106	111	105	2810	0	872	950	951	2387	722	1079	1972	460	107	23.26%	469	73	84.43%	4	1768	3284	53.84%	1515	2958	51.22%	729	1349	54.04%	2094	1467	1866	602	1017	523
2022	82	49	24	0	3	0	3	3	314	240	74	41	24	12	0	1	0	2	2	141	114	27	41	25	12	0	2	0	1	1	173	126	47	104	314	555	869	3	5	0	114	105	89	2802	0	902	954	927	2410	700	1202	1973	432	98	22.69%	497	92	81.49%	4	1726	3269	52.80%	1623	3042	53.35%	709	1341	52.87%	2039	1409	1889	617	1024	514
2023	82	41	34	0	0	1	4	2	275	237	38	41	20	18	0	0	1	2	0	142	117	25	41	21	16	0	0	0	2	2	133	120	13	83	275	499	774	1	5	0	87	89	95	2614	0	819	856	923	2346	656	1186	1961	429	96	22.38%	509	101	80.16%	4	1659	3089	53.71%	1510	2893	52.19%	680	1272	53.46%	2095	1469	1848	594	1008	510
2024	82	42	25	0	1	4	8	2	322	258	64	41	21	12	0	1	1	4	2	167	141	26	41	21	13	0	0	3	4	0	155	117	38	108	322	566	888	1	4	0	120	98	95	2756	0	915	949	876	2391	725	1253	1927	445	112	25.17%	505	100	80.20%	5	1754	3166	55.40%	1541	2931	52.58%	698	1350	51.70%	2084	1453	1861	605	1030	521
2025	82	51	24	0	2	2	1	2	339	253	86	41	25	13	0	1	2	0	0	160	122	38	41	26	11	0	1	0	1	2	179	131	48	112	339	617	956	0	1	0	128	97	111	3047	0	1042	962	1032	2555	760	1274	1986	425	112	26.35%	527	92	82.54%	6	1768	3299	53.59%	1602	3046	52.59%	738	1383	53.36%	1992	1370	1928	604	1025	517
2026	82	35	32	0	2	1	4	8	269	270	-1	41	19	13	0	0	0	4	5	144	140	4	41	16	19	0	2	1	0	3	125	130	-5	91	269	479	748	2	2	0	89	86	88	2743	0	915	893	898	2520	762	1237	2013	397	81	20.40%	484	94	80.58%	4	1654	3139	52.69%	1579	3014	52.39%	671	1305	51.42%	2027	1400	1925	615	1033	514
2027	82	33	38	0	1	5	4	1	253	272	-19	41	16	19	0	1	2	3	0	127	138	-11	41	17	19	0	0	3	1	1	126	134	-8	82	253	459	712	4	3	0	83	85	80	2462	0	814	791	841	2640	722	1080	1891	442	71	16.06%	462	97	79.00%	2	1446	2848	50.77%	1494	3071	48.65%	614	1299	47.27%	2001	1396	1961	606	998	496
2030	82	33	35	0	3	1	4	6	281	267	14	41	19	16	0	2	0	1	3	145	131	14	41	14	19	0	1	1	3	3	136	136	0	87	281	492	773	1	3	0	79	90	105	2661	0	869	850	923	2528	749	1022	1922	419	77	18.38%	456	81	82.24%	5	1572	3080	51.04%	1454	2912	49.93%	648	1317	49.20%	1992	1363	1948	622	1035	519
2031	82	37	25	0	1	2	11	6	258	221	37	41	17	13	0	0	1	6	4	122	110	12	41	20	12	0	1	1	5	2	136	111	25	106	258	442	700	1	5	0	91	85	70	2581	0	879	869	794	2382	772	927	1803	419	81	19.33%	389	68	82.52%	4	1537	3064	50.16%	1479	2951	50.12%	643	1288	49.92%	2085	1456	1886	615	1041	528
2032	82	53	17	0	1	3	7	1	342	234	108	41	26	9	0	0	2	3	1	167	126	41	41	27	8	0	1	1	4	0	175	108	67	126	342	586	928	2	3	0	126	119	89	2994	0	977	994	996	2312	654	971	1712	455	85	18.68%	398	76	80.90%	6	1799	3349	53.72%	1463	2789	52.46%	726	1331	54.55%	2159	1540	1795	597	1016	517
2033	82	41	24	0	5	5	3	4	295	247	48	41	21	10	0	3	4	1	2	159	117	42	41	20	14	0	2	1	2	2	136	130	6	107	295	528	823	2	6	0	113	94	80	2814	0	953	876	944	2319	676	833	1625	471	92	19.53%	374	80	78.61%	4	1690	3205	52.73%	1409	2755	51.14%	680	1310	51.91%	2162	1539	1811	594	1005	522
2034	82	48	18	0	4	3	6	3	318	225	93	41	25	10	0	2	0	2	2	156	102	54	41	23	8	0	2	3	4	1	162	123	39	122	318	566	884	1	4	0	112	103	93	2804	0	962	926	888	2311	656	847	1746	420	88	20.95%	348	65	81.32%	3	1725	3107	55.52%	1446	2815	51.37%	660	1281	51.52%	2140	1530	1826	588	1012	516
2035	82	44	21	0	1	1	5	10	326	248	78	41	24	9	0	0	0	2	6	166	112	54	41	20	12	0	1	1	3	4	160	136	24	111	326	576	902	0	3	0	119	112	89	2887	0	879	1005	968	2389	668	855	1684	425	90	21.18%	347	58	83.29%	5	1716	3154	54.41%	1461	2836	51.52%	757	1383	54.74%	2137	1521	1827	588	1033	530
2036	82	47	27	0	2	3	1	2	291	239	52	41	20	15	0	1	3	1	1	151	126	25	41	27	12	0	1	0	0	1	140	113	27	105	291	517	808	1	5	0	103	84	101	2651	0	895	880	863	2346	756	819	1650	426	95	22.30%	347	60	82.71%	3	1522	2969	51.26%	1305	2807	46.49%	653	1336	48.88%	2098	1495	1833	585	1013	519
2037	82	52	17	0	3	5	2	3	332	239	93	41	26	7	0	3	3	1	1	164	110	54	41	26	10	0	0	2	1	2	168	129	39	122	332	598	930	2	3	128	111	88	7	2757	902	884	937	50	2338	702	841	1643	441	89	20.18%	350	70	80.00%	8	1532	3012	50.86%	1375	2758	49.85%	630	1330	47.37%	2109	1498	1831	593	1021	521
Total Regular Season	1558	772	526	0	42	55	87	76	5513	4753	760	779	389	257	0	23	29	41	40	2755	2333	422	779	383	269	0	19	26	46	36	2758	2420	338	1843	5513	9621	15134	23	60	128	1850	1801	1612	51640	902	16895	17157	16267	46666	14208	20483	35033	7466	1532	20.52%	7418	1393	81.22%	86	28963	55246	52.43%	25998	51292	50.69%	12784	25168	50.79%	38359	26045	35063	12087	21246	10713
Playoff
2019	17	9	8	0	0	0	0	0	49	47	2	8	5	3	0	0	0	0	0	21	21	0	9	4	5	0	0	0	0	0	28	26	2	18	49	81	130	0	0	0	14	17	16	557	0	159	178	194	562	187	161	372	39	4	10.26%	20	2	90.00%	1	192	414	46.38%	209	448	46.65%	113	267	42.32%	366	218	390	149	297	151
2020	12	5	7	0	0	0	0	0	27	32	-5	7	2	5	0	0	0	0	0	12	18	-6	5	3	2	0	0	0	0	0	15	14	1	10	27	45	72	2	1	0	10	8	9	361	0	132	110	119	398	135	152	258	33	3	9.09%	22	2	90.91%	0	154	298	51.68%	147	305	48.20%	80	161	49.69%	255	145	255	105	209	108
2021	22	16	6	0	0	0	0	0	97	70	27	12	9	3	0	0	0	0	0	57	38	19	10	7	3	0	0	0	0	0	40	32	8	32	97	176	273	0	0	0	37	30	27	739	0	259	217	241	691	195	328	530	125	27	21.60%	123	28	77.24%	3	454	841	53.98%	442	885	49.94%	191	377	50.66%	572	407	525	165	276	140
2022	22	16	6	0	0	0	0	0	98	72	26	10	5	5	0	0	0	0	0	39	40	-1	12	11	1	0	0	0	0	0	59	32	27	32	98	182	280	0	1	0	36	35	22	790	0	240	266	241	742	210	292	599	126	28	22.22%	125	28	77.60%	0	439	908	48.35%	428	867	49.37%	191	389	49.10%	574	393	550	175	297	154
2023	12	6	6	0	0	0	0	0	40	44	-4	6	3	3	0	0	0	0	0	21	21	0	6	3	3	0	0	0	0	0	19	23	-4	12	40	74	114	0	0	0	14	15	8	374	0	111	112	104	438	117	238	334	66	11	16.67%	74	12	83.78%	1	221	459	48.15%	262	511	51.27%	114	211	54.03%	316	216	330	99	165	82
2024	14	8	6	0	0	0	0	0	53	49	4	7	4	3	0	0	0	0	0	27	24	3	7	4	3	0	0	0	0	0	26	25	1	16	53	98	151	1	0	0	24	15	12	417	0	141	121	132	516	161	332	325	68	11	16.18%	120	20	83.33%	0	264	499	52.91%	274	597	45.90%	139	252	55.16%	355	242	361	109	181	89
2025	7	3	4	0	0	0	0	0	25	30	-5	3	1	2	0	0	0	0	0	12	14	-2	4	2	2	0	0	0	0	0	13	16	-3	6	25	43	68	1	0	0	9	8	6	257	0	79	78	78	270	68	107	191	29	10	34.48%	44	12	72.73%	1	154	300	51.33%	164	293	55.97%	76	137	55.47%	174	118	182	54	92	46
2026	7	3	4	0	0	0	0	0	25	29	-4	3	1	2	0	0	0	0	0	12	12	0	4	2	2	0	0	0	0	0	13	17	-4	6	25	46	71	0	0	0	11	8	6	237	0	70	69	97	281	93	107	197	36	10	27.78%	40	14	65.00%	0	134	269	49.81%	158	319	49.53%	58	119	48.74%	163	112	172	52	86	42
2031	25	15	10	0	0	0	0	0	89	87	2	13	8	5	0	0	0	0	0	54	43	11	12	7	5	0	0	0	0	0	35	44	-9	30	89	162	251	0	0	0	24	31	31	856	0	220	266	322	757	230	348	537	145	27	18.62%	144	29	79.86%	1	546	992	55.04%	468	918	50.98%	234	436	53.67%	634	437	621	200	331	164
2032	8	4	4	0	0	0	0	0	26	22	4	4	2	2	0	0	0	0	0	14	13	1	4	2	2	0	0	0	0	0	12	9	3	8	26	50	76	1	2	0	6	10	10	264	0	65	88	103	222	64	98	182	38	3	7.89%	38	6	84.21%	0	176	336	52.38%	143	271	52.77%	72	125	57.60%	203	141	191	56	95	48
2033	21	16	5	0	0	0	0	0	77	53	24	9	8	1	0	0	0	0	0	40	19	21	12	8	4	0	0	0	0	0	37	34	3	32	77	138	215	0	3	0	29	17	30	665	0	219	201	240	586	181	199	407	113	17	15.04%	92	17	81.52%	1	387	796	48.62%	352	717	49.09%	174	358	48.60%	527	374	478	150	259	132
2034	12	6	6	0	0	0	0	0	35	37	-2	6	3	3	0	0	0	0	0	18	20	-2	6	3	3	0	0	0	0	0	17	17	0	12	35	62	97	0	0	0	11	13	11	333	0	86	114	128	411	123	147	258	47	8	17.02%	62	10	83.87%	0	219	400	54.75%	236	462	51.08%	117	201	58.21%	280	194	311	90	149	73
2035	6	2	4	0	0	0	0	0	20	24	-4	3	1	2	0	0	0	0	0	12	13	-1	3	1	2	0	0	0	0	0	8	11	-3	4	20	37	57	0	0	0	3	8	8	177	0	47	57	69	200	66	104	117	34	6	17.65%	44	12	72.73%	1	140	228	61.40%	127	251	50.60%	62	122	50.82%	150	105	145	43	74	36
2036	18	10	8	0	0	0	0	0	65	55	10	8	5	3	0	0	0	0	0	26	20	6	10	5	5	0	0	0	0	0	39	35	4	20	65	117	182	1	1	0	22	25	16	570	0	209	164	180	515	162	188	389	100	20	20.00%	77	13	83.12%	1	329	657	50.08%	330	638	51.72%	143	289	49.48%	444	311	439	136	223	110
2037	11	6	5	0	0	0	0	0	32	28	4	6	3	3	0	0	0	0	0	15	13	2	5	3	2	0	0	0	0	0	17	15	2	12	32	50	82	0	1	8	10	14	0	349	125	122	102	0	304	101	127	268	58	11	18.97%	55	9	83.64%	0	217	448	48.44%	164	357	45.94%	62	150	41.33%	264	180	261	79	133	67
Total Playoff	214	125	89	0	0	0	0	0	758	679	79	105	60	45	0	0	0	0	0	380	329	51	109	65	44	0	0	0	0	0	378	350	28	250	758	1361	2119	6	9	8	260	254	212	6946	125	2159	2143	2248	6893	2093	2928	4964	1057	196	18.54%	1080	214	80.19%	10	4026	7845	51.32%	3904	7839	49.80%	1826	3594	50.81%	5283	3599	5216	1669	2873	1447

RedWings Stat Leaders (Play-Off)

Show or Hide Column

#	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
1	Claude Giroux	108	55	90	145	26	50	64	324	386	14.25%	30	2476	22.93	14	36	50	94	0	2	2	8	10	3	50.75%	2	1.17
2	Steven Stamkos	111	56	77	133	29	83	203	195	442	12.67%	25	2438	21.97	18	17	35	92	0	1	1	0	8	4	46.65%	0	1.09
3	Kristopher Letang	110	22	85	107	4	89	146	205	245	8.98%	190	2830	25.73	13	28	41	138	0	2	2	1	2	0	0.00%	0	0.76
4	Andrew Ladd	101	37	48	85	29	86	188	149	297	12.46%	28	1960	19.42	9	8	17	41	1	0	1	7	6	2	38.36%	1	0.87
5	Jamie Benn	99	23	55	78	16	132	204	151	242	9.50%	25	2044	20.65	4	16	20	70	1	0	1	6	4	2	47.73%	0	0.76

RedWings Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG
1	Henrik Lundqvist	108	64	38	6	0.905	3.09	6780	10	2	349	3690	376	3	4
2	Darcy Kuemper	33	22	8	1	0.910	2.67	1910	8	3	85	947	0	0	0
3	Andrei Vasilevskiy	22	12	7	3	0.878	3.53	1259	8	0	74	606	0	2	0
4	Igor Shesterkin	18	10	6	1	0.895	2.92	1048	0	1	51	484	0	1	1
5	Jake Oettinger	11	6	5	0	0.908	2.55	660	0	1	28	304	0	0	0