Blues
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Game Center
	Eagles 3-14-1, 7pts	4	FINAL	6	Rampage 3-15-0, 6pts

Team Stats
W1	Streak	L1
3-5-1	Home Record	3-6-0
0-9-0	Away Record	0-9-0
1-8-1	Last 10 Games	3-7-0
2.39	Goals Per Game	2.61
6.33	Goals Against Per Game	6.67
10.71%	Power Play Percentage	12.50%
80.00%	Penalty Kill Percentage	75.00%

Rampage
3-15-0, 6pts

FINAL

Eagles
3-14-1, 7pts

Team Stats
L1	Streak	W1
3-6-0	Home Record	3-5-1
0-9-0	Away Record	0-9-0
3-7-0	Last 10 Games	1-8-1
2.61	Goals Per Game	2.39
6.67	Goals Against Per Game	6.33
12.50%	Power Play Percentage	10.71%
75.00%	Penalty Kill Percentage	80.00%

Team Leaders

Team Stats
Goals For 47 2.61 GFG	Shots For 556 30.89 Avg	Power Play Percentage 12.5% 4 GF	Offensive Zone Start 32.5%
Goals Against 120 6.67 GAA	Shots Against 899 49.94 Avg	Penalty Kill Percentage 75.0% 6 GA	Defensive Zone Start 41.3%

Team Info
	General Manager	Fred
	Coach	Martin St Louis
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	17
	Farm Team	20
	Contract Limit	37 / 50
	Prospects	30

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	Lucas Raymond (R)		X	X		100.00	71	42	93	90	65	79	67	84	36	80	79	63	75	55	55	77	50	72	0	20	3	3,425,000$
2	Alexandre Texier	X	X	X		100.00	63	41	89	83	69	68	68	61	41	70	82	82	75	58	58	77	50	69	0	23	1	925,000$
3	Seth Jarvis (R)	X		X		100.00	75	42	91	84	62	66	64	67	38	77	76	58	25	52	52	73	50	66	0	20	3	1,394,167$
4	Peyton Krebs (R)	X	X			100.00	63	41	88	80	66	68	69	74	48	71	62	63	25	51	51	67	50	65	0	21	3	1,275,833$
5	Vasily Podkolzin (R)			X		100.00	76	44	89	78	71	64	65	62	37	62	71	65	25	54	54	69	50	64	0	21	3	1,775,000$
6	Karson Kuhlman	X		X		100.00	81	44	95	71	67	62	61	59	25	63	58	73	25	56	57	65	50	62	0	27	2	925,000$
7	Adam Ruzicka (R)	X	X	X		100.00	73	44	90	74	77	56	63	58	74	64	71	58	25	46	46	68	50	62	0	23	3	850,000$
8	Tanner Kero	X				100.00	65	41	99	70	67	55	71	60	57	61	55	70	25	58	58	63	50	61	0	30	1	800,000$
9	Mackenzie MacEachern		X	X		100.00	79	44	90	71	72	50	67	59	25	62	55	71	25	58	58	63	50	61	0	28	3	750,000$
10	Jean-Sebastien Dea	X		X		100.00	69	63	82	75	63	57	56	64	80	59	65	62	62	44	44	64	50	61	0	28	2	825,000$
11	Marko Dano		X	X		100.00	76	75	78	76	75	54	56	50	50	47	46	65	44	58	58	55	50	57	0	28	1	900,000$
12	Matteo Gennaro	X				100.00	74	70	83	68	70	41	40	50	50	44	50	61	48	44	44	54	50	53	0	25	1	750,000$
13	Nicolas Hague				X	100.00	76	45	79	82	82	76	78	62	25	54	49	84	25	59	60	64	50	70	0	23	1	863,333$
14	Cale Fleury				X	100.00	86	46	99	74	77	65	70	60	25	39	47	75	25	48	48	59	50	65	0	24	1	883,333$
15	Robin Salo (R)				X	100.00	61	41	93	68	69	70	59	66	25	54	48	69	25	45	45	59	50	61	0	24	3	800,000$
16	Niclas Almari (R)				X	100.00	76	68	94	68	68	37	35	45	25	34	41	60	39	44	44	50	50	53	0	24	1	925,000$
Scratches

	TEAM AVERAGE					100.00	73	49	90	76	70	61	62	61	41	59	60	67	37	52	52	64	50	63

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	Maxime Lagace	100.00	57	44	55	75	60	61	63	65	66	65	30	44	44	60	50	60	0	29	1	1,250,000$
Scratches

	TEAM AVERAGE	100.00	57	44	55	75	60	61	63	65	66	65	30	44	44	60	50	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Martin St Louis	62	69	66	68	75	70	75	CAN	47	2	1,500,000$

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	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Adam Ruzicka	Rampage (STL)	C/LW/RW	23	1999-05-11	Yes	202 Lbs	6 ft4	No	No	No	3	Pro & Farm	850,000$	850,000$	0$	0$	No	850,000$	850,000$	Link / NHL Link
Alexandre Texier	Rampage (STL)	C/LW/RW	23	1999-09-12	No	186 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Cale Fleury	Rampage (STL)	D	24	1998-11-18	No	213 Lbs	6 ft1	No	No	No	1	Pro & Farm	883,333$	883,333$	0$	0$	No			Link / NHL Link
Jean-Sebastien Dea	Rampage (STL)	C/RW	28	1994-02-08	No	174 Lbs	5 ft11	No	No	No	2	Pro & Farm	825,000$	825,000$	0$	0$	No	825,000$		Link / NHL Link
Karson Kuhlman	Rampage (STL)	C/RW	27	1995-09-26	No	185 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link / NHL Link
Lucas Raymond	Rampage (STL)	LW/RW	20	2002-03-28	Yes	183 Lbs	5 ft10	No	No	No	3	Pro & Farm	3,425,000$	3,425,000$	0$	0$	No	3,425,000$	3,425,000$	Link
Mackenzie MacEachern	Rampage (STL)	LW/RW	28	1994-03-08	No	190 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Marko Dano	Rampage (STL)	LW/RW	28	1994-11-30	No	212 Lbs	5 ft11	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	0$	No			Link / NHL Link
Matteo Gennaro	Rampage (STL)	C	25	1997-03-30	No	187 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link
Maxime Lagace	Rampage (STL)	G	29	1993-01-12	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	0$	0$	No			Link
Niclas Almari	Rampage (STL)	D	24	1998-05-11	Yes	181 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Nicolas Hague	Rampage (STL)	D	23	1998-12-05	No	214 Lbs	6 ft6	No	No	No	1	Pro & Farm	863,333$	863,333$	0$	0$	No			Link
Peyton Krebs	Rampage (STL)	C/LW	21	2001-01-26	Yes	180 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,275,833$	1,275,833$	0$	0$	No	1,275,833$	1,275,833$	Link
Robin Salo	Rampage (STL)	D	24	1998-10-13	Yes	187 Lbs	6 ft1	No	No	No	3	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	800,000$	Link
Seth Jarvis	Rampage (STL)	C/RW	20	2002-02-01	Yes	174 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,394,167$	1,394,167$	0$	0$	No	1,394,167$	1,394,167$	Link
Tanner Kero	Rampage (STL)	C	30	1992-07-24	No	180 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Link / NHL Link
Vasily Podkolzin	Rampage (STL)	RW	21	2001-06-24	Yes	190 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,775,000$	1,775,000$	0$	0$	No	1,775,000$	1,775,000$	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
17	24.59	190 Lbs	6 ft1	1.94	1,136,274$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	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 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	Admirals	2	0	2	0	0	0	0	0	1	13	-12	1	0	1	0	0	0	0	0	0	5	-5	1	0	1	0	0	0	0	0	1	8	-7	0	0.000	1	2	3	0	0	17	22	8	0	47	165	213	178	0	118	41	9	33	2	0	0.00%	1	1	0.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
2	Barracudas	2	1	1	0	0	0	0	0	9	10	-1	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	9	18	27	0	0	17	22	8	0	106	165	213	178	0	69	14	8	41	6	2	33.33%	4	1	75.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
3	Condors	2	0	2	0	0	0	0	0	1	20	-19	1	0	1	0	0	0	0	0	1	9	-8	1	0	1	0	0	0	0	0	0	11	-11	0	0.000	1	2	3	0	0	17	22	8	0	27	165	213	178	0	87	36	8	18	13	1	7.69%	3	2	33.33%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
4	Crunch	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	7	5	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	7	14	21	0	0	17	22	8	0	53	165	213	178	0	54	17	4	29	0	0	0.00%	2	0	100.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
5	Eagles	2	1	1	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	6	4	2	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	10	19	29	0	0	17	22	8	0	95	165	213	178	0	81	26	0	42	3	0	0.00%	0	0	0.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
6	Gulls	2	0	2	0	0	0	0	0	3	17	-14	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	10	-9	0	0.000	3	6	9	0	0	17	22	8	0	53	165	213	178	0	126	33	2	37	2	0	0.00%	2	0	100.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
7	Heat	2	0	2	0	0	0	0	0	1	13	-12	1	0	1	0	0	0	0	0	1	6	-5	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	1	2	3	0	0	17	22	8	0	31	165	213	178	0	114	31	29	42	3	0	0.00%	5	0	100.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
8	Mariners	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	5	10	15	0	0	17	22	8	0	31	165	213	178	0	63	13	2	21	0	0	0.00%	1	0	100.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
9	Reign	2	0	2	0	0	0	0	0	2	15	-13	1	0	1	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	1	7	-6	0	0.000	2	4	6	0	0	17	22	8	0	20	165	213	178	0	88	30	6	13	1	0	0.00%	2	1	50.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
10	Roadrunners	2	0	2	0	0	0	0	0	8	12	-4	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	8	16	24	1	0	17	22	8	0	93	165	213	178	0	99	23	8	34	2	1	50.00%	4	1	75.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
	Total	18	3	15	0	0	0	0	0	47	120	-73	9	3	6	0	0	0	0	0	27	54	-27	9	0	9	0	0	0	0	0	20	66	-46	6	0.167	47	93	140	1	0	17	22	8	0	556	165	213	178	0	899	264	76	310	32	4	12.50%	24	6	75.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
	_Since Last GM Reset	18	3	15	0	0	0	0	0	47	120	-73	9	3	6	0	0	0	0	0	27	54	-27	9	0	9	0	0	0	0	0	20	66	-46	6	0.167	47	93	140	1	0	17	22	8	0	556	165	213	178	0	899	264	76	310	32	4	12.50%	24	6	75.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
	_Vs Conference	17	2	15	0	0	0	0	0	40	115	-75	8	2	6	0	0	0	0	0	20	49	-29	9	0	9	0	0	0	0	0	20	66	-46	4	0.118	40	79	119	1	0	17	22	8	0	503	165	213	178	0	845	247	72	281	32	4	12.50%	22	6	72.73%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85
	_Vs Division	6	0	3	0	0	0	0	0	19	34	-15	3	0	1	0	0	0	0	0	10	15	-5	3	0	2	0	0	0	0	0	9	19	-10	0	0.000	19	37	56	1	0	17	22	8	0	235	165	213	178	0	298	90	17	109	7	1	14.29%	5	2	60.00%	0	166	405	40.99%	203	515	39.42%	119	327	36.39%	292	200	583	123	203	85

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	6	L1	47	93	140	556	899	264	76	310	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	3	15	0	0	0	0	47	120

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	3	6	0	0	0	0	27	54

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	0	9	0	0	0	0	20	66

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	7	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
32	4	12.50%	24	6	75.00%	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
165	213	178	0	17	22	8	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
166	405	40.99%	203	515	39.42%	119	327	36.39%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
292	200	583	123	203	85

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	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2022-11-21	12	Heat	6	Rampage	1	BL	BoxScore
2 - 2022-11-22	27	Rampage	5	Mariners	6	AL	BoxScore
4 - 2022-11-24	46	Rampage	4	Roadrunners	6	AL	BoxScore
5 - 2022-11-25	58	Gulls	7	Rampage	2	BL	BoxScore
6 - 2022-11-26	68	Rampage	0	Heat	7	AL	BoxScore
8 - 2022-11-28	91	Reign	8	Rampage	1	BL	BoxScore
9 - 2022-11-29	108	Condors	9	Rampage	1	BL	BoxScore
10 - 2022-11-30	129	Admirals	5	Rampage	0	BL	BoxScore
11 - 2022-12-01	141	Rampage	1	Admirals	8	AL	BoxScore
12 - 2022-12-02	154	Rampage	0	Condors	11	AL	BoxScore
13 - 2022-12-03	169	Rampage	1	Gulls	10	AL	BoxScore
14 - 2022-12-04	185	Roadrunners	6	Rampage	4	BL	BoxScore
15 - 2022-12-05	194	Rampage	4	Barracudas	6	AL	BoxScore
16 - 2022-12-06	207	Rampage	1	Reign	7	AL	BoxScore
17 - 2022-12-07	222	Barracudas	4	Rampage	5	BW	BoxScore
19 - 2022-12-09	244	Crunch	5	Rampage	7	BW	BoxScore
21 - 2022-12-11	267	Eagles	4	Rampage	6	BW	BoxScore
22 - 2022-12-12	278	Rampage	4	Eagles	5	AL	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	100	0
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
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,931,666$	1,917,750$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Rampage 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

Rampage 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

Rampage 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

Rampage 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	PSG	PSS

Rampage 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	PS %	PSA

	Rampage
	GP: 18 \| W: 3 \| L: 15 \| OTL: 0 \| P: 6 GF: 47 \| GA: 120 \| PP%: 12.50% \| PK%: 75.00% GM : Fred \| Morale : 50 \| Team Overall : 62