COACH - DETROIT RED WINGS

DETROIT STEELERS
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
History
Last Transactions
Injury / Suspension
Career Team Stat
Web Roster Editor
Web Lines Editor

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
1	Artem Anisimov	X	X			100.00	40	26	99	75	85	98	94	99	74	99	94	84	71	93	88	0	67	84	0
2	Jarome Iginla	X	X	X		100.00	99	92	44	80	80	95	94	89	85	92	90	86	90	99	84	0	79	84	0
3	Jordan Caron			X		100.00	51	17	99	80	85	96	86	93	42	90	93	90	68	87	87	0	67	83	0
4	Doug Rogers	X				100.00	99	99	24	86	79	81	90	96	64	83	89	76	70	86	95	0	77	81	2
5	T.J. Galiardi		X	X		100.00	47	30	99	87	85	78	89	98	76	82	88	78	64	88	80	0	67	80	0
6	Andy McDonald	X	X			100.00	18	9	99	65	71	96	91	95	90	87	86	78	80	99	99	0	67	79	0
7	Stefan Legein			X		100.00	75	57	62	63	74	74	78	91	54	91	91	78	60	91	91	0	68	78	2
8	Stefan Della Rovere		X			100.00	23	8	99	59	76	90	86	90	75	93	95	71	76	90	95	0	48	78	0
9	Nikolai Zherdev	X	X	X		100.00	27	7	99	63	78	98	88	87	40	87	85	78	84	99	99	0	49	77	0
10	Kyle Beach	X				100.00	99	99	2	59	81	91	74	90	61	91	83	82	65	87	86	0	72	77	0
11	Jakub Vrana (R)		X	X		100.00	63	52	61	90	82	86	85	80	61	77	80	70	64	84	79	0	68	76	2
12	Zach Parise	X	X	X		100.00	99	84	46	62	74	84	85	80	45	83	80	85	80	99	87	0	72	76	2
13	Kris Letang				X	100.00	99	81	45	74	80	94	95	99	35	97	98	83	79	99	99	0	78	85	2
14	Keith Yandle				X	100.00	73	36	88	77	76	99	95	94	50	91	86	85	64	85	90	0	67	82	2
15	Mark Pysyk				X	100.00	74	69	51	76	79	85	78	95	49	87	81	74	53	71	82	0	57	76	2
16	Matt Taormina				X	100.00	11	4	99	66	72	68	80	99	50	99	99	74	63	82	82	0	67	74	0
17	Carl Dahlstrom (R)				X	100.00	52	40	85	77	81	68	74	99	33	88	87	70	45	77	63	0	56	74	2
18	Zach Bogosian				X	100.00	34	13	99	60	82	98	89	68	50	69	65	82	61	91	82	0	62	71	0
Scratches

	TEAM AVERAGE					100.00	60	46	72	72	79	88	86	91	57	88	87	79	69	89	87	0	66	79

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
1	Andrew Raycroft	100.00	71	87	86	74	77	95	92	92	92	83	79	99	99	0	67	85	0
2	Tuukka Rask	98.00	75	89	84	75	78	73	80	83	82	76	86	99	86	0	67	79	0
Scratches

	TEAM AVERAGE	99.00	73	88	85	75	78	84	86	88	87	80	83	99	93	0	67	82

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Andy Murray	72	92	90	80	99	99	42	CAN	64	2	1,554,300$

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	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Jordan Caron	DETROIT RED WINGS	RW	34	16	21	37	19	2	0	21	30	101	37	80	15.84%	16	732	21.54	4	4	8	12	106	0	0	0	0	39	4	2	43.75%	64	21	10	1.01	0	1	0	0	0	2	7	1
2	Artem Anisimov	DETROIT RED WINGS	C/LW	34	19	18	37	15	0	0	26	54	108	40	66	17.59%	19	772	22.71	2	6	8	11	106	1	0	1	1	51	2	3	46.86%	924	12	11	0.96	1	3	0	0	0	3	3	5
3	Jarome Iginla	DETROIT RED WINGS	C/LW/RW	34	9	27	36	15	84	30	92	36	109	30	61	8.26%	21	718	21.13	2	5	7	14	104	0	0	0	0	33	2	1	55.12%	254	17	11	1.00	1	3	3	0	3	3	1	1
4	Doug Rogers	DETROIT RED WINGS	C	34	13	11	24	10	75	35	59	31	74	30	43	17.57%	9	409	12.03	0	1	1	1	20	0	0	0	1	6	3	1	41.77%	249	18	10	1.17	0	1	4	1	2	3	2	1
5	T.J. Galiardi	DETROIT RED WINGS	LW/RW	34	6	14	20	7	0	0	12	33	75	27	41	8.00%	10	428	12.60	0	1	1	1	20	0	0	0	1	21	0	0	53.33%	15	14	10	0.93	1	1	0	0	0	1	1	0
6	Nikolai Zherdev	DETROIT RED WINGS	C/LW/RW	34	7	8	15	2	2	0	16	25	71	27	36	9.86%	7	498	14.65	3	1	4	7	57	0	0	0	0	20	0	0	26.92%	26	6	6	0.60	1	1	0	0	0	0	1	0
7	Keith Yandle	DETROIT RED WINGS	D	34	3	11	14	7	8	0	51	37	55	22	26	5.45%	61	986	29.01	2	2	4	8	117	0	0	0	1	120	0	0	0.00%	0	17	27	0.28	0	0	0	0	0	0	2	1
8	Kris Letang	DETROIT RED WINGS	D	34	0	14	14	4	169	65	94	51	67	18	24	0.00%	39	869	25.58	0	3	3	10	112	0	0	0	1	48	0	0	0.00%	0	16	24	0.32	0	0	3	1	9	0	0	0
9	Andy McDonald	DETROIT RED WINGS	C/LW	34	7	6	13	-7	0	0	16	39	87	21	55	8.05%	10	520	15.31	1	3	4	9	60	0	0	0	1	41	1	1	57.68%	267	4	9	0.50	0	0	0	0	0	0	1	0
10	Stefan Legein	DETROIT RED WINGS	RW	34	5	7	12	6	23	15	41	21	32	10	25	15.63%	8	366	10.78	1	0	1	2	8	0	0	0	0	0	0	1	56.25%	16	3	4	0.65	0	0	1	1	1	2	0	2
11	Kyle Beach	DETROIT RED WINGS	C	34	5	7	12	4	53	25	36	22	39	6	37	12.82%	6	277	8.15	0	1	1	2	16	0	0	0	1	32	3	0	44.79%	96	3	1	0.87	0	0	2	0	3	0	0	1
12	Matt Taormina	DETROIT RED WINGS	D	34	2	8	10	-5	0	0	2	28	31	9	17	6.45%	27	527	15.51	0	0	0	0	43	0	0	0	0	64	0	0	0.00%	0	10	13	0.38	0	0	0	0	0	0	0	1
13	Jakub Vrana	DETROIT RED WINGS	LW/RW	22	3	7	10	5	30	10	11	15	41	15	25	7.32%	7	230	10.45	0	0	0	0	1	0	1	1	7	67	0	0	50.00%	94	7	1	0.87	0	0	0	1	1	0	0	2
14	Carl Dahlstrom	DETROIT RED WINGS	D	27	3	6	9	14	10	10	13	19	21	9	12	14.29%	11	403	14.95	0	0	0	0	6	1	0	1	1	27	1	0	0.00%	0	4	8	0.45	0	0	0	2	0	0	2	0
15	Mark Pysyk	DETROIT RED WINGS	D	33	3	6	9	1	63	25	57	29	34	18	11	8.82%	33	665	20.16	1	0	1	1	68	0	0	0	0	67	1	0	0.00%	0	11	6	0.27	0	0	1	1	3	0	0	0
16	Zach Parise	DETROIT RED WINGS	C/LW/RW	34	4	4	8	2	83	55	31	21	30	4	11	13.33%	6	303	8.94	0	0	0	0	1	0	1	1	2	70	0	1	42.11%	19	2	6	0.53	0	0	3	2	6	0	0	1
17	Stefan Della Rovere	DETROIT RED WINGS	LW	32	1	5	6	-6	2	0	4	31	44	13	34	2.27%	5	424	13.26	0	1	1	1	48	0	0	0	0	3	0	0	40.00%	15	3	10	0.28	0	0	0	0	0	0	1	0
18	Zach Bogosian	DETROIT RED WINGS	D	24	0	4	4	1	2	0	4	18	10	4	6	0.00%	20	326	13.62	0	0	0	0	0	0	0	0	0	51	0	0	0.00%	0	1	8	0.24	0	0	0	0	0	0	0	1
19	Julius Honka	DETROIT STEELERS (DET)	D	18	0	1	1	0	10	0	23	16	19	5	5	0.00%	12	320	17.83	0	1	1	1	55	0	0	0	0	6	0	0	0.00%	0	2	10	0.06	0	0	0	0	0	0	0	0
Team Total or Average				598	106	185	291	94	616	270	609	556	1048	345	615	10.11%	327	9782	16.36	16	29	45	80	957	2	2	4	17	773	17	10	48.41%	2039	171	185	0.59	4	10	17	9	28	14	21	17

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	GA	SA	SAR	A	PS %	PSA	ST	BG	S1	S2	S3
1	Andrew Raycroft	DETROIT RED WINGS	26	13	7	4	0.897	2.98	1509	0	75	730	299	2	0.625	8	24	10	2	1	1
2	Tuukka Rask	DETROIT RED WINGS	10	6	4	0	0.898	3.03	555	2	28	274	135	0	1.000	2	10	24	1	0	0
Team Total or Average			36	19	11	4	0.897	2.99	2064	2	103	1004	434	2	0.700	10	34	34	3	1	1

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	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Link
Andrew Raycroft	DETROIT RED WINGS	G	39	4/4/1980	No	180 Lbs	6 ft1	No	No	No	4	Pro Only	4,607,774$	2,830,490$	40,000$	24,571$	4,607,774$	2,830,490$	No	4,607,774$	4,607,774$	4,607,774$
Andy McDonald	DETROIT RED WINGS	C/LW	42	8/25/1977	No	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	2,480,000$	1,523,429$	40,000$	24,571$	2,480,000$	1,523,429$	No
Artem Anisimov	DETROIT RED WINGS	C/LW	31	5/24/1988	No	210 Lbs	6 ft4	No	No	No	5	Pro Only	1,438,563$	883,689$			1,438,563$	883,689$	No	1,438,563$	1,438,563$	1,438,563$	1,438,563$
Carl Dahlstrom	DETROIT RED WINGS	D	24	1/28/1995 4:13:31 AM	Yes	223 Lbs	6 ft5	No	No	No	3	Pro & Farm	500,000$	307,143$	40,000$	24,571$	500,000$	307,143$	No	500,000$	500,000$
Doug Rogers	DETROIT RED WINGS	C	32	8/11/1987 9:46:23 AM	No	191 Lbs	6 ft0	No	No	No	4	Pro Only	1,000,000$	614,286$	40,000$	24,571$	1,000,000$	614,286$	No	1,000,000$	1,000,000$	1,000,000$
Jakub Vrana	DETROIT RED WINGS	LW/RW	23	2/28/1996 1:52:45 AM	Yes	195 Lbs	6 ft4	No	No	No	3	Pro & Farm	750,000$	460,714$	40,000$	24,571$	750,000$	460,714$	No	750,000$	750,000$
Jarome Iginla	DETROIT RED WINGS	C/LW/RW	42	7/1/1977	No	207 Lbs	6 ft1	No	No	No	3	Pro Only	2,364,780$	1,452,651$	40,000$	24,571$	2,364,780$	1,452,651$	No	2,364,780$	2,364,780$
Jordan Caron	DETROIT RED WINGS	RW	29	11/2/1990	No	219 Lbs	6 ft2	No	No	No	2	Pro Only	1,384,642$	850,566$	40,000$	24,571$	1,384,642$	850,566$	No	1,384,642$
Keith Yandle	DETROIT RED WINGS	D	33	9/9/1986	No	208 Lbs	6 ft1	No	No	No	3	Pro Only	625,000$	383,929$	40,000$	24,571$	625,000$	383,929$	No	625,000$	625,000$
Kris Letang	DETROIT RED WINGS	D	32	4/24/1987	No	210 Lbs	6 ft0	No	No	No	1	Pro Only	350,000$	215,000$	40,000$	24,571$	350,000$	215,000$	No
Kyle Beach	DETROIT RED WINGS	C	29	1/13/1990	No	229 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,850,925$	1,136,997$	40,000$	24,571$	1,850,925$	1,136,997$	No	1,850,925$	1,850,925$
Mark Pysyk	DETROIT RED WINGS	D	27	6/30/1992 7:10:37 AM	No	222 Lbs	6 ft3	No	No	No	4	Pro & Farm	600,000$	368,571$	40,000$	24,571$	600,000$	368,571$	No	600,000$	600,000$	600,000$
Matt Taormina	DETROIT RED WINGS	D	33	10/20/1986	No	191 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,416,000$	869,829$	40,000$	24,571$	1,416,000$	869,829$	No
Nikolai Zherdev	DETROIT RED WINGS	C/LW/RW	35	11/5/1984	No	211 Lbs	6 ft2	No	No	No	1	Pro & Farm	817,500$	502,179$	40,000$	24,571$	817,500$	502,179$	No
Stefan Della Rovere	DETROIT RED WINGS	LW	29	2/25/1990	No	216 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,362,000$	836,657$	40,000$	24,571$	1,362,000$	836,657$	No	1,362,000$
Stefan Legein	DETROIT RED WINGS	RW	31	11/24/1988	No	198 Lbs	5 ft10	No	No	No	2	Pro & Farm	900,000$	552,857$	40,000$	24,571$	900,000$	552,857$	No	900,000$
T.J. Galiardi	DETROIT RED WINGS	LW/RW	31	4/22/1988	No	198 Lbs	6 ft2	No	No	No	1	Pro Only	984,100$	604,519$	40,000$	24,571$	984,100$	604,519$	No
Tuukka Rask	DETROIT RED WINGS	G	32	9/10/1987	No	179 Lbs	6 ft3	No	No	No	4	Pro & Farm	1,407,590$	864,662$	40,000$	24,571$	1,407,590$	864,662$	No	1,407,590$	1,407,590$	1,407,590$		NHL Link
Zach Bogosian	DETROIT RED WINGS	D	29	7/15/1990	No	234 Lbs	6 ft3	No	No	No	3	Pro & Farm	925,000$	568,214$	40,000$	24,571$	925,000$	568,214$	No	925,000$	925,000$			NHL Link
Zach Parise	DETROIT RED WINGS	C/LW/RW	35	7/28/1984	No	205 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,781,250$	1,094,196$	40,000$	24,571$	1,781,250$	1,094,196$	No	1,781,250$				NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	31.90	206 Lbs	6 ft1	2.60	1,377,256$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
27,545,124$	21,497,524$	16,069,632$	9,053,927$	1,438,563$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jarome Iginla	Artem Anisimov	Jordan Caron	40	0	2	3
2	T.J. Galiardi	Doug Rogers	Nikolai Zherdev	30	0	2	3
3	Jakub Vrana	Andy McDonald	Stefan Legein	20	1	2	2
4	Stefan Della Rovere	Kyle Beach	Zach Parise	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kris Letang	Keith Yandle	40	1	2	2
2	Carl Dahlstrom	Mark Pysyk	30	1	2	2
3	Matt Taormina	Zach Bogosian	20	1	2	2
4	Kris Letang	Keith Yandle	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jarome Iginla	Artem Anisimov	Jordan Caron	60	1	2	2
2	T.J. Galiardi	Doug Rogers	Nikolai Zherdev	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kris Letang	Keith Yandle	60	1	2	2
2	Matt Taormina	Mark Pysyk	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jakub Vrana	Zach Parise	60	1	2	2
2	Artem Anisimov	Jordan Caron	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kris Letang	Keith Yandle	60	1	2	2
2	Zach Bogosian	Mark Pysyk	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kyle Beach	60	1	2	2	Kris Letang	Keith Yandle	60	1	2	2
2	Doug Rogers	40	1	2	2	Zach Bogosian	Mark Pysyk	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Doug Rogers	T.J. Galiardi	60	1	2	2
2	Kyle Beach	Stefan Legein	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kris Letang	Keith Yandle	60	1	2	2
2	Matt Taormina	Carl Dahlstrom	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jarome Iginla	Artem Anisimov	Jordan Caron	Kris Letang	Keith Yandle

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jarome Iginla	Artem Anisimov	Jordan Caron	Kris Letang	Keith Yandle

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jakub Vrana, Stefan Della Rovere, Andy McDonald	Andy McDonald, Stefan Della Rovere	Andy McDonald

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Mark Pysyk, Kris Letang, Keith Yandle	Carl Dahlstrom	Carl Dahlstrom, Matt Taormina

Penalty Shots
Artem Anisimov, Jarome Iginla, Nikolai Zherdev, Andy McDonald, Zach Parise

Goalie
#1 : Tuukka Rask, #2 : Andrew Raycroft

Custom OT Lines Forwards
Artem Anisimov, Jarome Iginla, Jordan Caron, Doug Rogers, T.J. Galiardi, Stefan Legein, Stefan Legein, Nikolai Zherdev, Stefan Della Rovere, Jakub Vrana, Andy McDonald

Custom OT Lines Defensemen
Kris Letang, Keith Yandle, Mark Pysyk, Matt Taormina, Zach Bogosian

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
1	BROOKLYN BLAZERS	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	1	1	0	0	29	13	7	9	0	28	7	6	24	3	0	0.00%	3	0	100.00%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	23	14	19	8	16	8
2	CALGARY COWBOYS	5	3	1	0	1	0	0	0	15	12	3	0	0	0	0	0	0	0	0	0	0	0	5	3	1	0	1	0	0	0	15	12	3	8	0.800	15	25	40	0	0	2	4	8	1	144	49	40	52	3	153	47	43	85	14	2	14.29%	19	5	73.68%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	105	62	112	45	85	42
3	CAPE BRETON CELTS	2	1	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	1	4	-3	1	1	0	0	0	0	0	0	4	3	1	2	0.500	5	9	14	0	0	1	2	2	0	57	18	23	16	0	63	27	45	49	2	0	0.00%	10	2	80.00%	1	419	843	49.70%	403	806	50.00%	274	533	51.41%	40	22	45	17	33	16
4	CAPE FEAR PROWLERS	1	0	1	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	3	8	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	2	1	0	0	28	9	12	7	0	35	14	13	21	3	1	33.33%	4	1	75.00%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	21	12	21	8	16	7
5	CHICAGO CRUSHERS	5	1	1	0	1	0	2	0	15	12	3	3	1	1	0	0	0	1	0	8	7	1	2	0	0	0	1	0	1	0	7	5	2	8	0.800	15	22	37	0	0	4	2	6	5	163	50	53	59	9	160	57	66	78	11	1	9.09%	18	3	83.33%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	112	66	107	44	91	45
6	COLORADO WOLVES	4	2	1	0	1	0	0	0	13	9	4	2	1	0	0	1	0	0	0	7	3	4	2	1	1	0	0	0	0	0	6	6	0	6	0.750	13	22	35	0	0	3	5	4	1	143	47	39	55	2	109	49	44	62	17	2	11.76%	12	4	66.67%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	93	56	83	35	68	35
7	COQUITLAM KNIGHTS	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	1	1	0	0	29	8	5	16	0	30	7	40	17	6	0	0.00%	5	1	80.00%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	22	12	19	8	17	9
8	EDMONTON BUSCHWACKERS	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	2	4	0	0	0	2	0	0	33	16	8	9	0	29	7	54	18	6	0	0.00%	2	0	100.00%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	24	15	19	8	16	8
9	HALIFAX HIGHLANDERS	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	3	0	0	0	34	10	13	11	0	22	12	44	19	4	0	0.00%	7	0	100.00%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	21	11	21	10	17	7
10	HAWAII TYPHOON	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	3	4	-1	1	0.500	3	6	9	0	0	1	2	0	0	33	16	6	9	2	23	9	21	24	2	0	0.00%	3	2	33.33%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	25	15	19	8	18	10
11	MANHATTAN ISLANDERS	2	1	0	0	0	1	0	0	7	7	0	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	7	14	21	0	0	2	3	2	0	60	23	24	12	1	62	20	23	41	10	2	20.00%	9	2	77.78%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	40	23	46	19	35	17
12	PENSACOLA BADGERS	1	0	0	0	0	0	0	1	4	5	-1	1	0	0	0	0	0	0	1	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	4	7	11	0	0	1	0	3	0	32	7	13	10	4	25	8	22	21	2	1	50.00%	6	2	66.67%	1	419	843	49.70%	403	806	50.00%	274	533	51.41%	24	14	22	9	18	7
13	PHILADELPHIA MADMEN	4	1	2	0	0	1	0	0	13	13	0	1	1	0	0	0	0	0	0	5	2	3	3	0	2	0	0	1	0	0	8	11	-3	3	0.375	13	22	35	0	0	5	5	3	0	127	43	50	34	0	122	24	113	72	10	3	30.00%	14	2	85.71%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	85	49	86	34	68	34
14	SAN JOSE BLASPHEMERS	4	2	2	0	0	0	0	0	13	12	1	3	2	1	0	0	0	0	0	9	6	3	1	0	1	0	0	0	0	0	4	6	-2	4	0.500	13	25	38	0	0	3	8	2	0	129	53	39	37	0	106	33	67	71	20	4	20.00%	16	4	75.00%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	92	54	79	34	68	34
15	SYRACUSE BULLDOGS	1	1	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	8	6	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	12	20	0	0	3	3	2	0	37	13	12	12	0	37	12	9	21	5	0	0.00%	2	1	50.00%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	23	14	19	8	16	8
	Total	34	14	11	0	3	3	2	1	108	104	4	18	9	6	0	1	0	1	1	57	52	5	16	5	5	0	2	3	1	0	51	52	-1	42	0.618	108	184	292	0	0	32	39	32	7	1078	375	344	348	21	1004	333	610	623	115	16	13.91%	130	29	77.69%	2	419	843	49.70%	403	806	50.00%	274	533	51.41%	756	448	724	300	589	296
	_Since Last GM Reset	34	14	11	0	3	3	2	1	108	104	4	18	9	6	0	1	0	1	1	57	52	5	16	5	5	0	2	3	1	0	51	52	-1	42	0.618	108	184	292	0	0	32	39	32	7	1078	375	344	348	21	1004	333	610	623	115	16	13.91%	130	29	77.69%	2	419	843	49.70%	403	806	50.00%	274	533	51.41%	756	448	724	300	589	296
	_Vs Conference	26	11	8	0	3	1	2	1	80	71	9	12	6	3	0	1	0	1	1	36	28	8	14	5	5	0	2	1	1	0	44	43	1	34	0.654	80	136	216	0	0	20	27	28	7	824	280	264	272	18	766	252	406	462	79	13	16.46%	98	22	77.55%	2	419	843	49.70%	403	806	50.00%	274	533	51.41%	577	342	557	229	449	226
	_Vs Division	22	9	7	0	3	1	2	0	69	58	11	9	5	2	0	1	0	1	0	29	18	11	13	4	5	0	2	1	1	0	40	40	0	29	0.659	69	116	185	0	0	17	24	23	7	706	242	221	237	14	650	210	333	368	72	12	16.67%	79	18	77.22%	0	419	843	49.70%	403	806	50.00%	274	533	51.41%	488	290	468	193	381	193

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
34	42	W2	108	184	292	1078	1004	333	610	623	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
34	14	11	3	3	2	1	108	104

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	9	6	1	0	1	1	57	52

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	5	5	2	3	1	0	51	52

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	2	0	3	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
115	16	13.91%	130	29	77.69%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
375	344	348	21	32	39	32	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
419	843	49.70%	403	806	50.00%	274	533	51.41%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
756	448	724	300	589	296

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	ST	OT	SO	Link
1 - 2019-09-05	4	CHICAGO CRUSHERS	2	DETROIT RED WINGS	4	W			BoxScore
3 - 2019-09-07	22	DETROIT RED WINGS	2	COLORADO WOLVES	3	L			BoxScore
4 - 2019-09-08	26	SAN JOSE BLASPHEMERS	2	DETROIT RED WINGS	5	W			BoxScore
7 - 2019-09-11	48	COLORADO WOLVES	2	DETROIT RED WINGS	3	W	X		BoxScore
8 - 2019-09-12	59	DETROIT RED WINGS	2	CALGARY COWBOYS	3	L			BoxScore
9 - 2019-09-13	70	CAPE BRETON CELTS	4	DETROIT RED WINGS	1	L			BoxScore
11 - 2019-09-15	82	DETROIT RED WINGS	2	PHILADELPHIA MADMEN	3	L			BoxScore
12 - 2019-09-16	84	DETROIT RED WINGS	3	CALGARY COWBOYS	2	W			BoxScore
14 - 2019-09-18	97	DETROIT RED WINGS	2	CALGARY COWBOYS	1	W	X		BoxScore
16 - 2019-09-20	108	SAN JOSE BLASPHEMERS	2	DETROIT RED WINGS	3	W			BoxScore
17 - 2019-09-21	120	PENSACOLA BADGERS	5	DETROIT RED WINGS	4	L	X	X	BoxScore
19 - 2019-09-23	134	CHICAGO CRUSHERS	2	DETROIT RED WINGS	3	W	X	X	BoxScore
22 - 2019-09-26	148	DETROIT RED WINGS	4	CALGARY COWBOYS	3	W			BoxScore
23 - 2019-09-27	158	PHILADELPHIA MADMEN	2	DETROIT RED WINGS	5	W			BoxScore
24 - 2019-09-28	167	DETROIT RED WINGS	3	CHICAGO CRUSHERS	2	W	X	X	BoxScore
25 - 2019-09-29	178	CAPE FEAR PROWLERS	8	DETROIT RED WINGS	3	L			BoxScore
26 - 2019-09-30	182	DETROIT RED WINGS	4	SAN JOSE BLASPHEMERS	6	L			BoxScore
28 - 2019-10-02	200	SYRACUSE BULLDOGS	6	DETROIT RED WINGS	8	W			BoxScore
30 - 2019-10-04	212	DETROIT RED WINGS	4	CALGARY COWBOYS	3	W			BoxScore
31 - 2019-10-05	221	CHICAGO CRUSHERS	3	DETROIT RED WINGS	1	L			BoxScore
33 - 2019-10-07	235	DETROIT RED WINGS	2	PHILADELPHIA MADMEN	3	L			BoxScore
34 - 2019-10-08	242	COLORADO WOLVES	1	DETROIT RED WINGS	4	W			BoxScore
36 - 2019-10-10	254	DETROIT RED WINGS	4	COLORADO WOLVES	3	W			BoxScore
38 - 2019-10-12	268	SAN JOSE BLASPHEMERS	2	DETROIT RED WINGS	1	L			BoxScore
39 - 2019-10-13	275	DETROIT RED WINGS	4	MANHATTAN ISLANDERS	5	L	X		BoxScore
40 - 2019-10-14	288	EDMONTON BUSCHWACKERS	1	DETROIT RED WINGS	2	W			BoxScore
42 - 2019-10-16	299	DETROIT RED WINGS	4	CHICAGO CRUSHERS	3	W	X		BoxScore
43 - 2019-10-17	310	MANHATTAN ISLANDERS	2	DETROIT RED WINGS	3	W			BoxScore
45 - 2019-10-19	317	DETROIT RED WINGS	4	PHILADELPHIA MADMEN	5	L	X		BoxScore
46 - 2019-10-20	330	HALIFAX HIGHLANDERS	4	DETROIT RED WINGS	3	L			BoxScore
49 - 2019-10-23	345	DETROIT RED WINGS	3	HAWAII TYPHOON	4	L	X		BoxScore
50 - 2019-10-24	353	COQUITLAM KNIGHTS	3	DETROIT RED WINGS	2	L			BoxScore
52 - 2019-10-26	362	DETROIT RED WINGS	4	CAPE BRETON CELTS	3	W			BoxScore
54 - 2019-10-28	377	BROOKLYN BLAZERS	1	DETROIT RED WINGS	2	W			BoxScore
56 - 2019-10-30	387	DETROIT RED WINGS	-	COQUITLAM KNIGHTS	-
58 - 2019-11-01	397	DETROIT RED WINGS	-	PENSACOLA BADGERS	-
59 - 2019-11-02	406	PENSACOLA BADGERS	-	DETROIT RED WINGS	-
61 - 2019-11-04	421	CALGARY COWBOYS	-	DETROIT RED WINGS	-
62 - 2019-11-05	431	DETROIT RED WINGS	-	MANHATTAN ISLANDERS	-
64 - 2019-11-07	441	BROOKLYN BLAZERS	-	DETROIT RED WINGS	-
66 - 2019-11-09	452	DETROIT RED WINGS	-	CHICAGO CRUSHERS	-
67 - 2019-11-10	461	DETROIT RED WINGS	-	COLORADO WOLVES	-
68 - 2019-11-11	470	VANCOUVER MILLIONAIRES	-	DETROIT RED WINGS	-
70 - 2019-11-13	483	DETROIT RED WINGS	-	CAPE FEAR PROWLERS	-
71 - 2019-11-14	492	SAN JOSE BLASPHEMERS	-	DETROIT RED WINGS	-
73 - 2019-11-16	507	COLORADO WOLVES	-	DETROIT RED WINGS	-
75 - 2019-11-18	519	DETROIT RED WINGS	-	LAS CRUCES SPURS	-
77 - 2019-11-20	528	DETROIT RED WINGS	-	CALGARY COWBOYS	-
78 - 2019-11-21	537	BANGOR BEAGLES	-	DETROIT RED WINGS	-
80 - 2019-11-23	551	COLORADO WOLVES	-	DETROIT RED WINGS	-
81 - 2019-11-24	560	DETROIT RED WINGS	-	CAPE BRETON CELTS	-
82 - 2019-11-25	573	NEWTON NIGHTMARES	-	DETROIT RED WINGS	-
84 - 2019-11-27	585	DETROIT RED WINGS	-	EDMONTON BUSCHWACKERS	-
86 - 2019-11-29	595	CAPE BRETON CELTS	-	DETROIT RED WINGS	-
87 - 2019-11-30	602	DETROIT RED WINGS	-	PHILADELPHIA MADMEN	-
89 - 2019-12-02	617	DETROIT RED WINGS	-	SYRACUSE BULLDOGS	-
90 - 2019-12-03	625	CAPE BRETON CELTS	-	DETROIT RED WINGS	-
93 - 2019-12-06	639	NORTH VAN ROCKERS	-	DETROIT RED WINGS	-
94 - 2019-12-07	650	DETROIT RED WINGS	-	COLORADO WOLVES	-
95 - 2019-12-08	658	DETROIT RED WINGS	-	NEWTON NIGHTMARES	-
96 - 2019-12-09	669	NORTH VAN ROCKERS	-	DETROIT RED WINGS	-
98 - 2019-12-11	681	DETROIT RED WINGS	-	HALIFAX HIGHLANDERS	-
100 - 2019-12-13	692	PINCHER CREEK PREDATORS	-	DETROIT RED WINGS	-
102 - 2019-12-15	706	HAWAII TYPHOON	-	DETROIT RED WINGS	-
103 - 2019-12-16	714	DETROIT RED WINGS	-	BANGOR BEAGLES	-
105 - 2019-12-18	722	DETROIT RED WINGS	-	NORTH VAN ROCKERS	-
107 - 2019-12-20	736	BANGOR BEAGLES	-	DETROIT RED WINGS	-
109 - 2019-12-22	749	CHICAGO CRUSHERS	-	DETROIT RED WINGS	-
111 - 2019-12-24	757	DETROIT RED WINGS	-	BANGOR BEAGLES	-
Trade Deadline --- Trades can’t be done after this day is simulated!
113 - 2019-12-26	772	PENSACOLA BADGERS	-	DETROIT RED WINGS	-
114 - 2019-12-27	773	DETROIT RED WINGS	-	PINCHER CREEK PREDATORS	-
116 - 2019-12-29	792	DETROIT RED WINGS	-	PENSACOLA BADGERS	-
118 - 2019-12-31	803	PINCHER CREEK PREDATORS	-	DETROIT RED WINGS	-
120 - 2020-01-02	817	DETROIT RED WINGS	-	SAN JOSE BLASPHEMERS	-
121 - 2020-01-03	822	PHILADELPHIA MADMEN	-	DETROIT RED WINGS	-
124 - 2020-01-06	838	PHILADELPHIA MADMEN	-	DETROIT RED WINGS	-
126 - 2020-01-08	852	DETROIT RED WINGS	-	SAN JOSE BLASPHEMERS	-
128 - 2020-01-10	860	LAS CRUCES SPURS	-	DETROIT RED WINGS	-
129 - 2020-01-11	875	DETROIT RED WINGS	-	BROOKLYN BLAZERS	-
131 - 2020-01-13	883	CALGARY COWBOYS	-	DETROIT RED WINGS	-
134 - 2020-01-16	899	DETROIT RED WINGS	-	BROOKLYN BLAZERS	-
135 - 2020-01-17	904	CALGARY COWBOYS	-	DETROIT RED WINGS	-
136 - 2020-01-18	906	DETROIT RED WINGS	-	VANCOUVER MILLIONAIRES	-
137 - 2020-01-19	914	DETROIT RED WINGS	-	NORTH VAN ROCKERS	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	92,986	89,924	36,000	71,959	17,965
Attendance PCT	86.10%	99.92%	100.00%	99.94%	99.81%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
24	17157 - 95.32%	1,185,890$	21,346,015$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
11,398,593$	27,545,124$	760,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
27,545,124$	10,799,076$	215,451$	20	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
28,461,353$	86	207,853$	17,875,358$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
19,810,109$	29,627,009$	91,495,087$	102,006,785$

Depth Chart

Left Wing

Center

Right Wing

Artem Anisimov	AGE:31	PO:0	OV:84
Jarome Iginla	AGE:42	PO:0	OV:84
T.J. Galiardi	AGE:31	PO:0	OV:80
Andy McDonald	AGE:42	PO:0	OV:79
Stefan Della Rovere	AGE:29	PO:0	OV:78
Nikolai Zherdev	AGE:35	PO:0	OV:77
*Jakub Vrana	AGE:23	PO:0	OV:76
Zach Parise	AGE:35	PO:0	OV:76
Boo Nieves	AGE:25	PO:0	OV:75
*Rob Fabbri	AGE:23	PO:0	OV:74
*Michael Dal Colle	AGE:23	PO:0	OV:72
*Brendan Perlini	AGE:23	PO:0	OV:64
*Casey Mittelstadt	AGE:21	PO:0	OV:62

Artem Anisimov	AGE:31	PO:0	OV:84
Jarome Iginla	AGE:42	PO:0	OV:84
Doug Rogers	AGE:32	PO:0	OV:81
Andy McDonald	AGE:42	PO:0	OV:79
Kyle Beach	AGE:29	PO:0	OV:77
Nikolai Zherdev	AGE:35	PO:0	OV:77
Zach Parise	AGE:35	PO:0	OV:76
Boo Nieves	AGE:25	PO:0	OV:75
Kyle Chipchura	AGE:33	PO:0	OV:74
*Rob Fabbri	AGE:23	PO:0	OV:74
Victor Rask	AGE:26	PO:0	OV:74
Nick Bjugstad	AGE:27	PO:0	OV:64
*Casey Mittelstadt	AGE:21	PO:0	OV:62
*Aleksi Heponiemi	AGE:20	PO:0	OV:59
*Joni Ikonen	AGE:20	PO:0	OV:58

Jarome Iginla	AGE:42	PO:0	OV:84
Jordan Caron	AGE:29	PO:0	OV:83
T.J. Galiardi	AGE:31	PO:0	OV:80
Stefan Legein	AGE:31	PO:0	OV:78
Nikolai Zherdev	AGE:35	PO:0	OV:77
*Jakub Vrana	AGE:23	PO:0	OV:76
Zach Parise	AGE:35	PO:0	OV:76
Alexei Cherepanov	AGE:31	PO:0	OV:75
Patric Hornqvist	AGE:32	PO:0	OV:75
*Nikita Scherbak	AGE:23	PO:0	OV:72
Nick Bjugstad	AGE:27	PO:0	OV:64
*Casey Mittelstadt	AGE:21	PO:0	OV:62
Nick Sorensen	AGE:25	PO:0	OV:61
*Alexander Volkov	AGE:22	PO:0	OV:58
*Joni Ikonen	AGE:20	PO:0	OV:58

Defense #1

Defense #2

Goalie

Kris Letang	AGE:32	PO:0	OV:85
Keith Yandle	AGE:33	PO:0	OV:82
Mark Pysyk	AGE:27	PO:0	OV:76
*Carl Dahlstrom	AGE:24	PO:0	OV:74
Matt Taormina	AGE:33	PO:0	OV:74
*Julius Honka	AGE:24	PO:0	OV:73
Zach Bogosian	AGE:29	PO:0	OV:71
*Ian McCoshen	AGE:24	PO:0	OV:68
Madison Bowey	AGE:24	PO:0	OV:68
Nathan Guenin	AGE:36	PO:0	OV:65

Sami Lepisto	AGE:35	PO:0	OV:65
Ben Lovejoy	AGE:35	PO:0	OV:64
Olivier Magnan	AGE:33	PO:0	OV:63
Richard Stehlik	AGE:36	PO:0	OV:62
*K'Andre Miller	AGE:19	PO:0	OV:60
*Filip Westerlund	AGE:20	PO:0	OV:59
*Nils Lundkvist	AGE:19	PO:0	OV:58
*Jacob Ragnarsson	AGE:20	PO:0	OV:57
*Seth Barton	AGE:19	PO:0	OV:56
*Xavier Bernard	AGE:20	PO:0	OV:56

Andrew Raycroft	AGE:39	PO:0	OV:85
Tuukka Rask	AGE:32	PO:0	OV:79
Cory Schneider	AGE:33	PO:0	OV:75
*Jake Oettinger	AGE:20	PO:0	OV:64
*Keith Petruzzelli	AGE:20	PO:0	OV:61
*Michael DiPietro	AGE:20	PO:0	OV:61

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	Information	Lien

Draft Picks

Year	R1	R2	R3	R4	R5
9	DET	DET	DET	DET	DET
10	DET	DET	DET	DET	DET
11	DET	DET	DET	DET	DET
12	DET	DET	DET	DET	DET
13	DET	DET	DET	DET	DET

[10/28/2019 6:52:30 AM] - TRADE : From DETROIT RED WINGS to HALIFAX HIGHLANDERS : Frantisek Lukes (79), Nathan Gerbe (79).
[10/28/2019 6:52:30 AM] - TRADE : From HALIFAX HIGHLANDERS to DETROIT RED WINGS : Stefan Della Rovere (77), Madison Bowey (68).
[10/28/2019 6:50:59 AM] - TRADE : From DETROIT RED WINGS to PINCHER CREEK PREDATORS : Joe Pavelski (77), Kevin Shattenkirk (77).
[10/28/2019 6:50:59 AM] - TRADE : From PINCHER CREEK PREDATORS to DETROIT RED WINGS : Julius Honka (73), Nikolai Zherdev (77).
[7/3/2019 9:41:34 AM] - Xavier Bernard was added to DETROIT RED WINGS.
[7/1/2019 8:47:14 AM] - Seth Barton was added to DETROIT RED WINGS.
[6/29/2019 10:44:10 AM] - Jacob Ragnarsson was added to DETROIT RED WINGS.
[6/27/2019 10:33:28 AM] - Nils Lundkvist was added to DETROIT RED WINGS.
[6/25/2019 6:58:09 AM] - K'Andre Miller was added to DETROIT RED WINGS.
[6/14/2019 1:04:26 PM] - Zachary Senyshyn was released.
[6/14/2019 1:04:26 PM] - DETROIT RED WINGS paid $0 to release Zachary Senyshyn.
[5/4/2019 5:52:53 AM] - DETROIT STEELERSare the Farm Playoffs Champions for year 7!
[4/16/2019 5:46:35 AM] - DETROIT RED WINGS was eliminated at round 2 of year 7.
[3/22/2019 7:12:46 AM] - New Record for Team's Most Shots (46) in 1 Game for DETROIT RED WINGS!
[3/9/2019 7:21:22 AM] - New Record for Team's Most Shots Blocked (20) in 1 Game for DETROIT RED WINGS!
[2/15/2019 7:55:51 AM] - New Record for Team's Most Hits (34) in 1 Game for DETROIT RED WINGS!
[1/31/2019 8:23:41 AM] - New Record for Team's Most Shots (44) in 1 Game for DETROIT RED WINGS!
[1/19/2019 6:09:11 AM] - New Record for Team's Most Penalties Minutes (76) in 1 Game for DETROIT RED WINGS!
[1/8/2019 6:50:17 AM] - New Record for Team's Most Hits (30) in 1 Game for DETROIT RED WINGS!
[1/7/2019 6:31:54 AM] - New Record for Team's Most Penalties Minutes (51) in 1 Game for DETROIT RED WINGS!
[11/19/2018 5:45:39 AM] - New Record for Team's Most Points (25) in 1 Game for DETROIT RED WINGS!
[11/19/2018 5:45:39 AM] - New Record for Team's Most Goals (10) in 1 Game for DETROIT RED WINGS!
[11/9/2018 6:20:35 AM] - New Record for Team's Most Penalties Minutes (47) in 1 Game for DETROIT RED WINGS!
[11/7/2018 6:03:22 AM] - New Record for Team's Most Shots (40) in 1 Game for DETROIT RED WINGS!

[12/4/2019 4:42:47 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[12/3/2019 10:37:32 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[12/2/2019 7:37:14 AM] Last 7 Days Farm Star : 1 - Boo Nieves of DETROIT STEELERS (4-6-10) / 2 - Hunter Shinkaruk of VANCOUVER THOUSANDAIRES (4-3-7) / 3 - Artemi Panarin of VANCOUVER THOUSANDAIRES (3-5-8)
[11/26/2019 5:52:53 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/25/2019 10:17:15 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/19/2019 10:25:34 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/18/2019 6:13:46 AM] Jake Oettinger from DETROIT STEELERS is back from Exhaustion.
[11/18/2019 6:13:40 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/16/2019 11:39:05 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/16/2019 6:06:34 AM] Jake Oettinger from DETROIT STEELERS injured (Exhaustion)
[11/15/2019 6:12:04 AM] Patric Hornqvist from DETROIT STEELERS has scored a Hat Trick!
[11/12/2019 6:08:33 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/11/2019 10:11:42 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/9/2019 6:20:01 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/8/2019 4:23:57 PM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/8/2019 6:17:40 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/7/2019 12:21:34 PM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/7/2019 12:21:34 PM] Zach Bogosian of DETROIT RED WINGS was sent to pro.
[11/7/2019 12:21:34 PM] Julius Honka of DETROIT RED WINGS was sent down to farm.
[11/7/2019 8:14:55 AM] Last 7 Days Farm Star : 1 - Alex Chiasson of NORTH VAN ROCKERS (4-4-8) / 2 - Patric Hornqvist of DETROIT STEELERS (6-4-10) / 3 - Lee Sweatt of SYRACUSE BABY BULLS (1-9-10)
[11/5/2019 5:59:40 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/4/2019 10:03:47 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.2.0.0
[11/4/2019 7:02:07 AM] Cory Schneider from DETROIT STEELERS is back from Exhaustion.
[11/4/2019 7:02:06 AM] Patric Hornqvist from DETROIT STEELERS has scored a Hat Trick!
[11/4/2019 7:01:37 AM] Auto Lines Function has been run for DETROIT STEELERS.
[11/4/2019 7:01:37 AM] Auto Roster Partial Function has been run for DETROIT RED WINGS.
[11/2/2019 6:48:25 AM] Cory Schneider from DETROIT STEELERS injured (Exhaustion)
[10/31/2019 6:56:24 AM] Successfully loaded DETROIT RED WINGS lines done with Web Base Client and SQLite Database.
[10/29/2019 6:33:54 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.1.8.8
[10/28/2019 11:45:12 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.1.8.8
[10/28/2019 11:45:12 AM] Jakub Vrana of DETROIT RED WINGS was sent to pro.
[10/28/2019 6:52:30 AM] TRADE : From DETROIT RED WINGS to HALIFAX HIGHLANDERS : Frantisek Lukes (79), Nathan Gerbe (79).
[10/28/2019 6:52:30 AM] TRADE : From HALIFAX HIGHLANDERS to DETROIT RED WINGS : Stefan Della Rovere (77), Madison Bowey (68).
[10/28/2019 6:50:59 AM] TRADE : From DETROIT RED WINGS to PINCHER CREEK PREDATORS : Joe Pavelski (77), Kevin Shattenkirk (77).
[10/28/2019 6:50:59 AM] TRADE : From PINCHER CREEK PREDATORS to DETROIT RED WINGS : Julius Honka (73), Nikolai Zherdev (77).
[10/22/2019 6:16:55 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.1.8.8
[10/21/2019 10:43:03 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.1.8.8
[10/21/2019 10:43:02 AM] Zach Bogosian of DETROIT RED WINGS was sent down to farm.
[10/21/2019 8:32:12 AM] Auto Lines Function has been run for DETROIT STEELERS.
[10/20/2019 6:17:07 AM] Mark Pysyk from DETROIT RED WINGS is back from Strained Left Knee Injury.
[10/19/2019 7:31:22 AM] Auto Lines Function has been run for DETROIT RED WINGS.
[10/19/2019 7:31:22 AM] Auto Roster Partial Function has been run for DETROIT RED WINGS.
[10/19/2019 7:31:22 AM] Carl Dahlstrom of DETROIT RED WINGS was sent to pro.
[10/18/2019 5:37:08 AM] Game 82 - Mark Pysyk from DETROIT RED WINGS is injured (Strained Left Knee) and is out for 1 week.
[10/17/2019 7:20:17 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.1.8.8
[10/16/2019 11:06:00 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.1.8.8
[10/15/2019 8:22:21 AM] Patric Hornqvist from DETROIT STEELERS is back from Lower Body Injury.
[10/15/2019 8:22:15 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.1.8.8
[10/14/2019 9:32:07 AM] Successfully loaded DETROIT RED WINGS lines done with STHS Client - 3.1.8.8
[10/14/2019 5:52:29 AM] Game 46 - Patric Hornqvist from DETROIT STEELERS is injured (Lower Body) and is out for 1 week.

No Injury or Suspension.

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
7	84	42	29	0	3	4	5	1	333	268	65	42	21	16	0	2	0	2	1	174	140	34	42	21	13	0	1	4	3	0	159	128	31	84	333	565	898	1	0	100	104	121	9	2759	998	857	882	38	2603	845	1491	1622	316	81	25.63%	273	57	79.12%	4	1057	2102	50.29%	1000	1925	51.95%	720	1336	53.89%	1875	1119	1772	735	1434	721
8	34	14	11	0	3	3	2	1	108	104	4	18	9	6	0	1	0	1	1	57	52	5	16	5	5	0	2	3	1	0	51	52	-1	42	108	184	292	0	0	32	39	32	7	1078	375	344	348	21	1004	333	610	623	115	16	13.91%	130	29	77.69%	2	419	843	49.70%	403	806	50.00%	274	533	51.41%	756	448	724	300	589	296
Total Regular Season	118	56	40	0	6	7	7	2	441	372	69	60	30	22	0	3	0	3	2	231	192	39	58	26	18	0	3	7	4	0	210	180	30	126	441	749	1190	1	0	132	143	153	16	3837	1373	1201	1230	59	3607	1178	2101	2245	431	97	22.51%	403	86	78.66%	6	1476	2945	50.12%	1403	2731	51.37%	994	1869	53.18%	2631	1568	2496	1036	2023	1017
Playoff
7	13	6	7	0	0	0	0	0	47	43	4	7	5	2	0	0	0	0	0	28	20	8	6	1	5	0	0	0	0	0	19	23	-4	12	47	88	135	0	0	17	11	17	2	438	145	134	141	18	408	129	161	249	68	12	17.65%	43	4	90.70%	0	193	364	53.02%	167	330	50.61%	111	204	54.41%	300	175	291	121	231	120
Total Playoff	13	6	7	0	0	0	0	0	47	43	4	7	5	2	0	0	0	0	0	28	20	8	6	1	5	0	0	0	0	0	19	23	-4	12	47	88	135	0	0	17	11	17	2	438	145	134	141	18	408	129	161	249	68	12	17.65%	43	4	90.70%	0	193	364	53.02%	167	330	50.61%	111	204	54.41%	300	175	291	121	231	120

Year	R1	R2	R3	R4	R5
9	DET	DET	DET	DET	DET
10	DET	DET	DET	DET	DET
11	DET	DET	DET	DET	DET
12	DET	DET	DET	DET	DET
13	DET	DET	DET	DET	DET

Year	R1	R2	R3	R4	R5
9	DET	DET	DET	DET	DET
10	DET	DET	DET	DET	DET
11	DET	DET	DET	DET	DET
12	DET	DET	DET	DET	DET
13	DET	DET	DET	DET	DET

Year	R1	R2	R3	R4	R5
9	DET	DET	DET	DET	DET
10	DET	DET	DET	DET	DET
11	DET	DET	DET	DET	DET
12	DET	DET	DET	DET	DET
13	DET	DET	DET	DET	DET