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

Game Center
	Bears 1-16-1, 3pts	3	FINAL	7	Monsters 7-10-1, 15pts

Team Stats
L2	Streak	L1
1-7-1	Home Record	3-5-1
0-9-0	Away Record	4-5-0
1-8-1	Last 10 Games	3-6-1
2.50	Goals Per Game	4.17
7.11	Goals Against Per Game	5.94
17.02%	Power Play Percentage	6.90%
78.79%	Penalty Kill Percentage	63.64%

Monsters
7-10-1, 15pts

FINAL

Checkers
5-13-0, 10pts

Team Stats
L1	Streak	W2
3-5-1	Home Record	4-5-0
4-5-0	Away Record	1-8-0
3-6-1	Last 10 Games	3-7-0
4.17	Goals Per Game	3.44
5.94	Goals Against Per Game	5.89
6.90%	Power Play Percentage	12.96%
63.64%	Penalty Kill Percentage	70.37%

Team Leaders
	Goals Justin Kirkland 24	Assists Justin Kirkland 7

	Points Justin Kirkland 31	Plus/Minus Justin Kirkland 17

Team Stats
Goals For 75 4.17 GFG	Shots For 677 37.61 Avg	Power Play Percentage 6.9% 4 GF	Offensive Zone Start 36.8%
Goals Against 107 5.94 GAA	Shots Against 776 43.11 Avg	Penalty Kill Percentage 63.6% 12 GA	Defensive Zone Start 35.7%

Team Info
	General Manager	Tyler Bell
	Coach	Kris Knoblauch
	Division	North
	Conference	Eastern Conference
	Captain	T.J. Tynan
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	1,200
Roster Info
	Pro Team	14
	Farm Team	18
	Contract Limit	32 / 50
	Prospects	41

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	T.J. Tynan (C)	X				100.00	68	58	90	62	58	70	71	67	80	72	59	62	56	45	45	65	50	62	0	30	2	800,000$
2	Lukas Reichel (R)		X	X		100.00	55	40	99	75	64	65	61	68	53	59	55	62	25	45	45	61	50	60	0	20	3	1,337,500$
3	Justin Kirkland		X			100.00	70	70	69	63	70	60	60	64	50	58	65	62	62	45	45	63	50	60	0	26	1	750,000$
4	Phil Di Giuseppe	X	X	X		100.00	72	70	75	69	70	50	47	64	50	64	60	63	57	44	44	62	50	59	0	29	2	800,000$
5	Valtteri Puustinen (R)		X	X		100.00	73	64	93	65	64	62	63	61	50	56	62	63	59	44	44	64	50	59	0	23	3	925,000$
6	William Lockwood (R)			X		100.00	99	93	80	67	65	59	68	57	25	50	55	65	25	45	45	61	50	58	0	24	3	842,500$
7	Lauri Pajuniemi (R)			X		100.00	74	67	91	65	67	51	50	59	50	53	61	63	58	44	44	62	50	57	0	23	3	925,000$
8	Danila Klimovich (R)	X				100.00	78	76	84	67	76	53	54	51	64	47	51	63	48	44	44	56	50	56	0	19	3	925,000$
9	Kale Howarth (R)	X	X			100.00	77	78	74	65	78	38	35	52	65	44	56	63	53	44	44	56	50	54	0	25	3	750,000$
10	Brandon Baddock		X			100.00	70	82	42	66	82	64	69	48	50	44	46	58	44	44	44	52	50	54	0	27	1	750,000$
11	Luka Burzan (R)	X		X		100.00	77	67	99	64	67	40	40	44	55	38	44	61	42	44	44	50	50	50	0	22	3	750,000$
12	Mason Geertsen				X	100.00	88	99	29	63	83	44	54	56	25	39	47	68	25	46	46	54	50	59	0	27	1	750,000$
13	Seth Barton (R)				X	100.00	80	74	93	67	74	41	40	50	25	43	41	64	39	44	44	53	50	56	0	23	3	832,500$
Scratches

	TEAM AVERAGE					100.00	75	72	78	66	71	54	55	57	49	51	54	63	46	44	44	58	50	57

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	Filip Lindberg (R)	100.00	44	40	50	71	45	44	45	49	45	45	45	44	44	45	50	48	0	23	3	925,000$
Scratches

	TEAM AVERAGE	100.00	44	40	50	71	45	44	45	49	45	45	45	44	44	45	50	48

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kris Knoblauch	65	68	69	70	65	61	83	CAN	43	1	700,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPP	PPS	PPM	PKM	GW	GT	FO%	FOT	HT	P/20	S1	S2	S3
1	Justin Kirkland	Monsters (CLB)	LW	18	24	7	31	17	14	49	19	103	20	67	23.30%	23	229	12.76	0	0	0	0	0	3	1	87.50%	8	4	2.70	2	0	2
2	T.J. Tynan	Monsters (CLB)	C	18	24	5	29	-2	18	56	47	124	42	90	19.35%	32	370	20.60	3	3	11	32	19	2	0	75.28%	356	3	1.56	1	1	0
3	Mason Geertsen	Monsters (CLB)	D	2	0	0	0	-3	6	9	0	4	0	2	0.00%	3	29	14.72	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0
Team Total or Average				38	48	12	60	12	38	114	66	231	62	159	20.78%	58	629	16.58	3	3	11	33	19	5	1	75.55%	364	7	1.90	3	1	2

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
Team Total or Average							0.000	0.00	0								0.000

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	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
Brandon Baddock	Monsters (CLB)	LW	27	1995-03-28	No	221 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Danila Klimovich	Monsters (CLB)	C	19	2003-01-09	Yes	205 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Link
Filip Lindberg	Monsters (CLB)	G	23	1999-01-31	Yes	194 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Link
Justin Kirkland	Monsters (CLB)	LW	26	1996-08-02	No	183 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Kale Howarth	Monsters (CLB)	C/LW	25	1997-06-10	Yes	201 Lbs	6 ft5	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link
Lauri Pajuniemi	Monsters (CLB)	RW	23	1999-09-12	Yes	183 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Link
Luka Burzan	Monsters (CLB)	C/RW	22	2000-01-07	Yes	183 Lbs	6 ft0	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link
Lukas Reichel	Monsters (CLB)	LW/RW	20	2002-05-17	Yes	170 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,337,500$	1,337,500$	0$	0$	No	1,337,500$	1,337,500$	Link
Mason Geertsen	Monsters (CLB)	D	27	1995-04-18	No	215 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Phil Di Giuseppe	Monsters (CLB)	C/LW/RW	29	1993-10-09	No	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$		Link
Seth Barton	Monsters (CLB)	D	23	1999-08-18	Yes	196 Lbs	6 ft3	No	No	No	3	Pro & Farm	832,500$	832,500$	0$	0$	No	832,500$	832,500$	Link
T.J. Tynan	Monsters (CLB)	C	30	1992-02-25	No	165 Lbs	5 ft8	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$		Link / NHL Link
Valtteri Puustinen	Monsters (CLB)	LW/RW	23	1999-06-04	Yes	183 Lbs	5 ft9	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$	925,000$	Link
William Lockwood	Monsters (CLB)	RW	24	1998-06-20	Yes	172 Lbs	5 ft11	No	No	No	3	Pro & Farm	842,500$	842,500$	0$	0$	No	842,500$	842,500$	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
14	24.36	190 Lbs	6 ft1	2.43	861,607$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		T.J. Tynan		40	1	2	2
2				30	1	2	2
3	Justin Kirkland			20	1	2	2
4			T.J. Tynan	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		T.J. Tynan		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		T.J. Tynan	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	T.J. Tynan	40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		T.J. Tynan	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
	T.J. Tynan

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	T.J. Tynan

Extra Forwards
Normal	PowerPlay	Penalty Kill
Justin Kirkland, ,	Justin Kirkland,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, T.J. Tynan, , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, T.J. Tynan, , , , Justin Kirkland, Justin Kirkland, , , ,

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	Bears	2	1	0	0	1	0	0	0	12	7	5	1	1	0	0	0	0	0	0	7	3	4	1	0	0	0	1	0	0	0	5	4	1	4	1.000	12	22	34	0	0	24	30	20	1	133	194	245	237	1	70	15	6	37	2	0	0.00%	2	1	50.00%	0	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
2	Bruins	2	0	2	0	0	0	0	0	2	15	-13	1	0	1	0	0	0	0	0	0	7	-7	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	2	4	6	0	0	24	30	20	1	31	194	245	237	1	73	17	6	20	8	0	0.00%	3	2	33.33%	0	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
3	Checkers	2	1	1	0	0	0	0	0	10	11	-1	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	5	7	-2	2	0.500	10	19	29	0	0	24	30	20	1	65	194	245	237	1	97	25	14	48	3	0	0.00%	6	1	83.33%	1	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
4	Penguins	3	0	2	0	0	1	0	0	11	20	-9	2	0	1	0	0	1	0	0	8	13	-5	1	0	1	0	0	0	0	0	3	7	-4	1	0.167	11	20	31	0	0	24	30	20	1	94	194	245	237	1	119	23	14	64	13	0	0.00%	7	2	71.43%	0	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
5	Phantoms	2	1	1	0	0	0	0	0	9	12	-3	1	0	1	0	0	0	0	0	1	8	-7	1	1	0	0	0	0	0	0	8	4	4	2	0.500	9	13	22	0	0	24	30	20	1	73	194	245	237	1	82	21	16	35	5	0	0.00%	8	3	62.50%	0	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
6	Senators	1	0	1	0	0	0	0	0	1	4	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	24	30	20	1	13	194	245	237	1	57	15	2	12	8	1	12.50%	1	0	100.00%	0	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
7	Sound Tigers	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	0	4	-4	1	1	0	0	0	0	0	0	6	2	4	2	0.500	6	11	17	0	0	24	30	20	1	74	194	245	237	1	79	17	8	24	6	0	0.00%	4	1	75.00%	0	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
8	Thunderbirds	2	0	2	0	0	0	0	0	10	22	-12	1	0	1	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	4	10	-6	0	0.000	10	17	27	0	0	24	30	20	1	69	194	245	237	1	115	32	4	26	11	2	18.18%	0	0	0.00%	0	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
9	Wolf Pack	2	2	0	0	0	0	0	0	14	10	4	1	1	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	6	5	1	4	1.000	14	26	40	0	0	24	30	20	1	125	194	245	237	1	84	16	4	45	2	1	50.00%	2	2	0.00%	0	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
	Total	18	6	10	0	1	1	0	0	75	107	-32	9	3	5	0	0	1	0	0	35	56	-21	9	3	5	0	1	0	0	0	40	51	-11	15	0.417	75	134	209	0	0	24	30	20	1	677	194	245	237	1	776	181	74	311	58	4	6.90%	33	12	63.64%	1	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
	_Since Last GM Reset	18	6	10	0	1	1	0	0	75	107	-32	9	3	5	0	0	1	0	0	35	56	-21	9	3	5	0	1	0	0	0	40	51	-11	15	0.417	75	134	209	0	0	24	30	20	1	677	194	245	237	1	776	181	74	311	58	4	6.90%	33	12	63.64%	1	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
	_Vs Conference	18	6	10	0	1	1	0	0	75	107	-32	9	3	5	0	0	1	0	0	35	56	-21	9	3	5	0	1	0	0	0	40	51	-11	15	0.417	75	134	209	0	0	24	30	20	1	677	194	245	237	1	776	181	74	311	58	4	6.90%	33	12	63.64%	1	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97
	_Vs Division	5	0	1	0	0	0	0	0	13	41	-28	2	0	0	0	0	0	0	0	6	19	-13	3	0	1	0	0	0	0	0	7	22	-15	0	0.000	13	23	36	0	0	24	30	20	1	113	194	245	237	1	245	64	12	58	27	3	11.11%	4	2	50.00%	0	239	478	50.00%	205	464	44.18%	160	358	44.69%	376	272	505	116	202	97

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	15	L1	75	134	209	677	776	181	74	311	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	6	10	1	1	0	0	75	107

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	3	5	0	1	0	0	35	56

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	3	5	1	0	0	0	40	51

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
58	4	6.90%	33	12	63.64%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
194	245	237	1	24	30	20	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
239	478	50.00%	205	464	44.18%	160	358	44.69%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
376	272	505	116	202	97

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	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2022-11-21	11	Penguins	6	Monsters	2	BL		BoxScore
2 - 2022-11-22	30	Monsters	8	Phantoms	4	AW		BoxScore
3 - 2022-11-23	32	Monsters	2	Bruins	8	AL		BoxScore
5 - 2022-11-25	51	Monsters	6	Sound Tigers	2	AW		BoxScore
6 - 2022-11-26	62	Wolf Pack	5	Monsters	8	BW		BoxScore
7 - 2022-11-27	84	Thunderbirds	12	Monsters	6	BL		BoxScore
8 - 2022-11-28	96	Monsters	4	Thunderbirds	10	AL		BoxScore
9 - 2022-11-29	112	Monsters	6	Wolf Pack	5	AW		BoxScore
10 - 2022-11-30	124	Penguins	7	Monsters	6	BL	X	BoxScore
11 - 2022-12-01	147	Monsters	1	Senators	4	AL		BoxScore
12 - 2022-12-02	159	Bruins	7	Monsters	0	BL		BoxScore
14 - 2022-12-04	178	Checkers	4	Monsters	5	BW		BoxScore
15 - 2022-12-05	198	Phantoms	8	Monsters	1	BL		BoxScore
16 - 2022-12-06	202	Monsters	3	Penguins	7	AL		BoxScore
19 - 2022-12-09	238	Sound Tigers	4	Monsters	0	BL		BoxScore
20 - 2022-12-10	252	Monsters	5	Bears	4	AW	X	BoxScore
21 - 2022-12-11	264	Bears	3	Monsters	7	BW		BoxScore
22 - 2022-12-12	277	Monsters	5	Checkers	7	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$	1,206,250$	1,206,250$	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$

Monsters 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

Monsters 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

Monsters 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

Monsters 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

Monsters 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

	Monsters
	GP: 18 \| W: 7 \| L: 10 \| OTL: 1 \| P: 15 GF: 75 \| GA: 107 \| PP%: 6.90% \| PK%: 63.64% GM : Tyler Bell \| Morale : 50 \| Team Overall : 57