Detroit Red Wings
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Game Center
	Griffins 30-23-0, 60pts	8	FINAL	4	Barracuda 25-23-5, 55pts

Team Stats
W3	Streak	L2
16-10-0	Home Record	14-11-1
14-13-0	Home Record	11-12-4
7-3-0	Last 10 Games	5-4-1
5.55	Goals Per Game	3.42
5.04	Goals Against Per Game	3.70
21.24%	Power Play Percentage	21.37%
73.60%	Penalty Kill Percentage	78.52%

Quacken
28-22-3, 59pts

FINAL

Griffins
30-23-0, 60pts

Team Stats
L2	Streak	W3
16-10-0	Home Record	16-10-0
12-12-3	Home Record	14-13-0
3-6-1	Last 10 Games	7-3-0
3.92	Goals Per Game	5.55
3.74	Goals Against Per Game	5.04
29.13%	Power Play Percentage	21.24%
82.18%	Penalty Kill Percentage	73.60%

Aces
35-14-4, 74pts

Day 115

Griffins
30-23-0, 60pts

Team Stats
L1	Streak	W3
18-8-0	Home Record	16-10-0
17-6-4	Away Record	14-13-0
8-2-0	Last 10 Games	7-3-0
3.72	Goals Per Game	5.55
3.06	Goals Against Per Game	5.55
24.27%	Power Play Percentage	21.24%
78.57%	Penalty Kill Percentage	73.60%

Griffins
30-23-0, 60pts

Day 118

Americiens
29-19-2, 60pts

Team Stats
W3	Streak	W2
16-10-0	Home Record	14-12-1
14-13-0	Away Record	15-7-1
7-3-0	Last 10 Games	6-4-0
5.55	Goals Per Game	4.86
5.04	Goals Against Per Game	4.86
21.24%	Power Play Percentage	22.52%
73.60%	Penalty Kill Percentage	72.36%

Marlies
36-15-3, 75pts

Day 120

Griffins
30-23-0, 60pts

Team Stats
L1	Streak	W3
18-6-2	Home Record	16-10-0
18-9-1	Away Record	14-13-0
8-2-0	Last 10 Games	7-3-0
4.37	Goals Per Game	5.55
3.20	Goals Against Per Game	5.55
26.72%	Power Play Percentage	21.24%
75.94%	Penalty Kill Percentage	73.60%

Team Leaders

Team Stats
Goals For 294 5.55 GFG	Shots For 2742 51.74 Avg	Power Play Percentage 21.2% 24 GF	Offensive Zone Start 41.6%
Goals Against 267 5.04 GAA	Shots Against 2277 42.96 Avg	Penalty Kill Percentage 73.6%% 33 GA	Defensive Zone Start 38.7%

Team Info
	General Manager	Mike Senske
	Coach	Darren McCarty
	Division	Pacific
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	15
	Farm Team	18
	Contract Limit	33 / 50
	Prospects	21

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	Cody Glass	X				100.00	68	56	87	68	72	73	78	70	69	67	56	69	54	64	65	0	53	64	0	26	2	1,000,000$
2	Michael Rasmussen	X				100.00	79	65	90	68	80	73	88	66	60	61	62	67	50	63	64	0	63	64	0	26	3	1,500,000$
3	Nick Bjugstad	X				100.00	76	57	87	66	75	71	79	66	65	63	60	61	58	76	72	0	63	63	0	33	1	500,000$
4	Dakota Joshua	X				100.00	86	63	83	66	74	72	73	63	60	61	60	63	50	69	67	0	63	62	0	29	4	500,000$
5	Patrick Maroon		X			100.00	77	69	76	66	84	69	80	66	59	65	53	59	52	82	77	0	63	62	0	37	1	500,000$
6	Tomas Tatar		X			100.00	64	55	85	67	60	68	84	65	50	62	56	60	54	78	73	0	63	61	0	35	1	500,000$
7	Zemgus Girgensons	X				100.00	78	66	91	63	69	69	91	58	60	58	50	72	50	72	72	0	63	61	0	32	1	500,000$
8	Jimmy Vesey		X			100.00	67	50	99	64	73	67	64	62	50	59	59	63	50	73	70	0	63	60	0	32	1	500,000$
9	Ryan Reaves			X		100.00	83	61	87	62	80	60	59	57	50	56	50	59	50	83	76	0	63	58	0	39	1	500,000$
10	Carter Mazur		X			100.00	50	35	89	57	59	50	50	50	50	50	50	50	50	56	58	0	40	50	0	23	1	500,000$
11	Olli Määttä				X	100.00	59	57	90	63	74	75	90	68	50	63	50	75	55	73	74	0	52	66	0	31	3	500,000$
12	Vincent Desharnais				X	100.00	78	70	71	61	82	69	70	63	50	53	50	71	55	69	70	0	50	64	0	29	1	500,000$
13	Jon Merrill				X	100.00	65	58	85	61	74	66	82	63	50	53	50	70	55	76	74	0	63	63	0	33	1	500,000$
14	P.O. Joseph				X	100.00	66	63	71	62	66	68	68	63	50	53	50	68	55	63	65	0	63	61	0	26	1	500,000$
Scratches

	TEAM AVERAGE					100.00	71	59	85	64	73	68	75	63	55	59	54	65	53	71	70	0	59	61

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	Mads Sogaard	100.00	50	61	59	82	50	50	50	50	50	50	50	58	58	0	76	55	0	25	2	500,000$
Scratches

	TEAM AVERAGE	100.00	50	61	59	82	50	50	50	50	50	50	50	58	58	0	76	55

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Darren McCarty	99	80	80	80	71	75	1	CAN	53	5	500,000$

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

Show or Hide Columns

Filter Tips

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

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

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary 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
Carter Mazur	Griffins (DET)	LW	23	2002-03-28	USA	No	170 Lbs	6 ft0	No	No	Free Agent	No	No	1	2025-07-30	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cody Glass	Griffins (DET)	C	26	1999-04-01	CAN	No	201 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	1,000,000$	100,000$	36,667$	No	1,000,000$	-	-	-	-	-	-	-	-	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dakota Joshua	Griffins (DET)	C	29	1996-05-15	USA	No	206 Lbs	6 ft3	No	No	Free Agent	No	No	4	2025-07-23	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	500,000$	500,000$	500,000$	-	-	-	-	-	-	500,000$	500,000$	500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Jimmy Vesey	Griffins (DET)	LW	32	1993-05-26	USA	No	203 Lbs	6 ft2	No	No	Free Agent	No	No	1	2025-08-28	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jon Merrill	Griffins (DET)	D	33	1992-02-03	USA	No	204 Lbs	6 ft3	No	No	Free Agent	No	No	1	2025-08-28	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mads Sogaard	Griffins (DET)	G	25	2000-12-13	DNK	No	217 Lbs	6 ft7	No	No	N/A	No	No	2		False	False	Pro & Farm	500,000$	50,000$	18,333$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Michael Rasmussen	Griffins (DET)	C	26	1999-04-17	CAN	No	220 Lbs	6 ft6	No	No	N/A	No	No	3	2024-08-25	False	False	Pro & Farm	1,500,000$	150,000$	55,000$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Nick Bjugstad	Griffins (DET)	C	33	1992-07-17	USA	No	205 Lbs	6 ft5	No	No	Free Agent	No	No	1	2025-08-28	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Olli Määttä	Griffins (DET)	D	31	1994-08-22	FIN	No	207 Lbs	6 ft2	No	No	N/A	No	No	3	2024-08-25	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
P.O. Joseph	Griffins (DET)	D	26	1999-07-01	CAN	No	185 Lbs	6 ft2	No	No	Free Agent	No	No	1	2025-08-28	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Patrick Maroon	Griffins (DET)	LW	37	1988-04-23	USA	No	234 Lbs	6 ft3	No	No	Free Agent	No	No	1	2025-08-28	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ryan Reaves	Griffins (DET)	RW	39	1987-01-20	CAN	No	225 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	500,000$	50,000$	18,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tomas Tatar	Griffins (DET)	LW	35	1990-12-01	SVK	No	173 Lbs	5 ft10	No	No	Free Agent	No	No	1	2025-08-28	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Vincent Desharnais	Griffins (DET)	D	29	1996-05-29	CAN	No	226 Lbs	6 ft7	No	No	Free Agent	No	No	1	2025-08-28	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Zemgus Girgensons	Griffins (DET)	C	32	1994-01-05	LVA	No	192 Lbs	6 ft3	No	No	Free Agent	No	No	1	2025-08-28	False	False	Pro & Farm	500,000$	50,000$	18,333$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
15	30.40	205 Lbs	6 ft3	1.60	600,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2				30	1	2	2
3				20	1	2	2
4				15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			21	1	2	2
3			20	1	2	2
4			19	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Aces	2	0	2	0	0	0	0	0	8	11	-3	2	0	2	0	0	0	0	0	8	11	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	8	15	23	0	0	119	92	79	7	94	921	919	890	27	53	16	8	35	3	1	33.33%	4	2	50.00%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
2	Admirals	6	6	0	0	0	0	0	0	41	23	18	1	1	0	0	0	0	0	0	7	3	4	5	5	0	0	0	0	0	0	34	20	14	12	1.000	41	79	120	0	0	119	92	79	7	302	921	919	890	27	253	78	30	130	13	4	30.77%	15	3	80.00%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
3	Americiens	2	1	1	0	0	0	0	0	15	9	6	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	15	9	6	2	0.500	15	27	42	0	0	119	92	79	7	115	921	919	890	27	102	23	12	61	7	1	14.29%	6	1	83.33%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
4	Barons	4	1	3	0	0	0	0	0	19	23	-4	2	1	1	0	0	0	0	0	10	10	0	2	0	2	0	0	0	0	0	9	13	-4	2	0.250	19	36	55	1	0	119	92	79	7	182	921	919	890	27	161	49	22	77	7	2	28.57%	11	5	54.55%	1	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
5	Barracuda	2	1	1	0	0	0	0	0	10	7	3	0	0	0	0	0	0	0	0	0	0	0	2	1	1	0	0	0	0	0	10	7	3	2	0.500	10	20	30	0	0	119	92	79	7	77	921	919	890	27	74	25	18	44	3	1	33.33%	9	2	77.78%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
6	Broncos	1	1	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	7	3	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	12	19	0	0	119	92	79	7	40	921	919	890	27	23	8	8	25	3	1	33.33%	4	2	50.00%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
7	Bruins	1	1	0	0	0	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	5	2	2	1.000	7	14	21	0	0	119	92	79	7	43	921	919	890	27	35	11	8	23	1	0	0.00%	4	2	50.00%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
8	Butter Knives	1	1	0	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	8	7	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	15	23	0	0	119	92	79	7	63	921	919	890	27	54	15	2	26	0	0	0%	0	0	0%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
9	Canucks	4	1	2	0	0	0	1	0	19	24	-5	2	1	0	0	0	0	1	0	13	10	3	2	0	2	0	0	0	0	0	6	14	-8	4	0.500	19	32	51	0	0	119	92	79	7	199	921	919	890	27	156	47	16	77	4	1	25.00%	8	1	87.50%	1	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
10	Fighting Pandas	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	5	10	15	0	0	119	92	79	7	79	921	919	890	27	58	22	8	38	4	1	25.00%	3	1	66.67%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
11	Firebirds	1	1	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	8	5	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	15	23	0	0	119	92	79	7	35	921	919	890	27	32	15	4	25	3	0	0.00%	2	0	100.00%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
12	Ice Bats	5	2	1	0	1	0	1	0	28	22	6	3	1	1	0	0	0	1	0	18	15	3	2	1	0	0	1	0	0	0	10	7	3	8	0.800	28	51	79	1	0	119	92	79	7	259	921	919	890	27	215	70	26	110	10	2	20.00%	13	4	69.23%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
13	Lions	8	6	2	0	0	0	0	0	47	33	14	5	3	2	0	0	0	0	0	30	21	9	3	3	0	0	0	0	0	0	17	12	5	12	0.750	47	93	140	0	0	119	92	79	7	549	921	919	890	27	345	98	26	221	26	5	19.23%	12	2	83.33%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
14	Lynx	2	2	0	0	0	0	0	0	12	8	4	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	6	4	2	4	1.000	12	24	36	0	0	119	92	79	7	99	921	919	890	27	66	15	4	38	2	1	50.00%	2	0	100.00%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
15	Nordiks	2	0	2	0	0	0	0	0	12	15	-3	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	7	8	-1	0	0.000	12	24	36	0	0	119	92	79	7	121	921	919	890	27	137	39	10	59	4	1	25.00%	5	1	80.00%	1	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
16	Quacken	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	7	14	21	0	0	119	92	79	7	93	921	919	890	27	89	17	8	39	6	1	16.67%	4	1	75.00%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
17	Roadrunners	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	8	12	0	0	119	92	79	7	45	921	919	890	27	37	5	10	15	3	0	0.00%	5	3	40.00%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
18	Tomahawks	5	0	4	0	0	0	1	0	26	34	-8	2	0	1	0	0	0	1	0	12	12	0	3	0	3	0	0	0	0	0	14	22	-8	2	0.200	26	48	74	0	0	119	92	79	7	232	921	919	890	27	290	82	28	142	13	2	15.38%	14	3	78.57%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
19	Wombats	2	1	1	0	0	0	0	0	11	13	-2	1	1	0	0	0	0	0	0	6	5	1	1	0	1	0	0	0	0	0	5	8	-3	2	0.500	11	21	32	0	0	119	92	79	7	115	921	919	890	27	97	22	8	49	1	0	0.00%	4	0	100.00%	0	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
	Total	53	26	23	0	1	0	3	0	294	267	27	26	13	10	0	0	0	3	0	149	126	23	27	13	13	0	1	0	0	0	145	141	4	60	0.566	294	558	852	2	0	119	92	79	7	2742	921	919	890	27	2277	657	256	1234	113	24	21.24%	125	33	73.60%	3	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
	_Since Last GM Reset	53	26	23	0	1	0	3	0	294	267	27	26	13	10	0	0	0	3	0	149	126	23	27	13	13	0	1	0	0	0	145	141	4	60	0.566	294	558	852	2	0	119	92	79	7	2742	921	919	890	27	2277	657	256	1234	113	24	21.24%	125	33	73.60%	3	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
	_Vs Conference	34	12	18	0	1	0	3	0	176	177	-1	18	7	8	0	0	0	3	0	100	89	11	16	5	10	0	1	0	0	0	76	88	-12	32	0.471	176	333	509	2	0	119	92	79	7	1806	921	919	890	27	1520	443	162	804	76	16	21.05%	80	21	73.75%	3	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302
	_Vs Division	24	8	9	0	1	0	2	0	132	127	5	13	4	5	0	0	0	2	0	75	65	10	11	4	4	0	1	0	0	0	57	62	-5	22	0.458	132	252	384	2	0	119	92	79	7	1343	921	919	890	27	1148	338	112	609	60	12	20.00%	55	15	72.73%	2	1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%	1148	813	1398	380	648	302

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
53	60	W3	294	558	852	2742	2277	657	256	1234	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
53	26	23	1	0	3	0	294	267

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	13	10	0	0	3	0	149	126

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	13	13	1	0	0	0	145	141

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	3	0	0	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
113	24	21.24%	125	33	73.60%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
921	919	890	27	119	92	79	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1070	2236	47.85%	1024	2077	49.30%	462	1057	43.71%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1148	813	1398	380	648	302

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
3	11	Lions	3	Griffins	8	W			BoxScore
5	17	Griffins	7	Lions	5	W			BoxScore
6	25	Griffins	6	Admirals	4	W			BoxScore
8	36	Tomahawks	7	Griffins	8	W	X	X	BoxScore
10	45	Griffins	6	Americiens	7	L			BoxScore
12	55	Griffins	8	Admirals	5	W			BoxScore
14	65	Lions	4	Griffins	7	W			BoxScore
17	80	Griffins	6	Ice Bats	4	W			BoxScore
18	86	Nordiks	7	Griffins	5	L			BoxScore
21	102	Ice Bats	6	Griffins	4	L			BoxScore
23	110	Griffins	7	Nordiks	8	L			BoxScore
24	116	Griffins	8	Admirals	6	W			BoxScore
27	129	Lions	6	Griffins	5	L			BoxScore
28	135	Griffins	4	Tomahawks	8	L			BoxScore
31	148	Aces	5	Griffins	4	L			BoxScore
34	166	Tomahawks	5	Griffins	4	L			BoxScore
37	178	Griffins	3	Barons	4	L			BoxScore
40	190	Ice Bats	4	Griffins	5	W	X	X	BoxScore
42	198	Griffins	3	Lions	2	W			BoxScore
44	206	Griffins	3	Tomahawks	6	L			BoxScore
46	215	Lions	3	Griffins	6	W			BoxScore
48	229	Griffins	6	Lynx	4	W			BoxScore
49	237	Butter Knives	7	Griffins	8	W			BoxScore
51	250	Griffins	7	Tomahawks	8	L			BoxScore
53	261	Roadrunners	6	Griffins	4	L			BoxScore
55	274	Griffins	3	Quacken	5	L			BoxScore
57	283	Broncos	3	Griffins	7	W			BoxScore
60	297	Griffins	7	Bruins	5	W			BoxScore
61	303	Admirals	3	Griffins	7	W			BoxScore
63	313	Griffins	5	Wombats	8	L			BoxScore
66	325	Fighting Pandas	4	Griffins	3	L			BoxScore
67	334	Griffins	7	Admirals	4	W			BoxScore
70	347	Lions	5	Griffins	4	L			BoxScore
73	363	Griffins	5	Admirals	1	W			BoxScore
75	371	Ice Bats	5	Griffins	9	W			BoxScore
77	385	Firebirds	5	Griffins	8	W			BoxScore
78	391	Griffins	7	Lions	5	W			BoxScore
80	401	Griffins	2	Fighting Pandas	7	L			BoxScore
82	410	Griffins	6	Barons	9	L			BoxScore
83	418	Wombats	5	Griffins	6	W			BoxScore
86	433	Griffins	4	Ice Bats	3	W	X		BoxScore
88	440	Barons	7	Griffins	5	L			BoxScore
92	456	Aces	6	Griffins	4	L			BoxScore
95	472	Griffins	3	Canucks	6	L			BoxScore
97	480	Canucks	5	Griffins	7	W			BoxScore
99	493	Canucks	5	Griffins	6	W	X	X	BoxScore
101	502	Griffins	3	Canucks	8	L			BoxScore
103	514	Barons	3	Griffins	5	W			BoxScore
106	530	Griffins	9	Americiens	2	W			BoxScore
107	539	Griffins	2	Barracuda	3	L			BoxScore
108	546	Lynx	4	Griffins	6	W			BoxScore
111	562	Griffins	8	Barracuda	4	W			BoxScore
112	569	Quacken	3	Griffins	4	W			BoxScore
115	583	Aces	-	Griffins	-
118	596	Griffins	-	Americiens	-
120	605	Marlies	-	Griffins	-
122	619	Griffins	-	Butter Knives	-
123	626	Barracuda	-	Griffins	-
125	637	Griffins	-	Firebirds	-
126	646	Griffins	-	Quacken	-
129	654	Bruins	-	Griffins	-
131	666	Griffins	-	Aces	-
132	674	Lynx	-	Griffins	-
136	694	Nordiks	-	Griffins	-
138	700	Griffins	-	Nordiks	-
140	712	Griffins	-	Broncos	-
141	717	Griffins	-	Aces	-
142	724	Tomahawks	-	Griffins	-
146	739	Griffins	-	Marlies	-
147	746	Wranglers	-	Griffins	-
149	764	Nordiks	-	Griffins	-
151	772	Griffins	-	Wranglers	-
152	777	Griffins	-	Ice Bats	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155	791	Quacken	-	Griffins	-
157	798	Griffins	-	Wranglers	-
159	811	Americiens	-	Griffins	-
164	832	Tomahawks	-	Griffins	-
168	849	Barracuda	-	Griffins	-
172	870	Wranglers	-	Griffins	-
174	880	Griffins	-	Nordiks	-
176	888	Americiens	-	Griffins	-
178	897	Griffins	-	Roadrunners	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
15	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
872,792$	900,000$	900,000$	500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
900,000$	556,121$	15	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	66	7,778$	513,348$

Griffins 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

Griffins 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

Griffins 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

Griffins 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

Griffins 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

	Griffins
	GP: 53 \| W: 30 \| L: 23 \| OTL: 0 \| P: 60 GF: 294 \| GA: 267 \| PP%: 21.24% \| PK%: 73.60% GM : Mike Senske \| Morale : 59 \| Team Overall : 61 Next Games #583 vs Aces