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#	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	Phillip Di Giuseppe		X	X		100.00	84	45	96	79	73	59	74	60	25	62	57	65	25	57	57	65	50	63	0
2	Dylan Gambrell (R)	X	X	X		100.00	71	55	89	62	72	61	79	63	72	61	59	73	25	50	51	65	50	62	0
3	Denis Malgin	X		X		100.00	71	42	89	84	62	61	64	66	52	64	59	55	25	63	63	63	50	62	0
4	Filip Chlapik	X				100.00	88	45	89	77	72	52	82	62	39	60	59	59	53	57	57	64	50	62	0
5	Greg McKegg	X	X			100.00	78	55	89	71	70	54	80	57	60	58	59	72	25	63	64	64	50	62	0
6	Frederick Gaudreau	X		X		100.00	74	65	95	64	65	65	66	64	80	60	62	68	59	58	58	65	50	62	0
7	Patrick Russell		X	X		100.00	79	44	91	62	75	59	68	61	44	60	55	77	25	49	49	64	50	61	0
8	Kole Lind			X		100.00	68	66	71	67	66	71	73	63	50	63	59	61	56	44	44	62	50	60	0
9	Justin Kirkland		X			100.00	72	70	77	61	70	75	80	57	50	61	48	62	46	45	45	58	50	59	0
10	Lukas Jasek			X		100.00	74	68	88	61	68	71	75	58	50	51	61	63	58	44	44	63	50	59	0
11	T.J. Tynan	X				100.00	63	40	95	62	58	51	82	63	34	56	55	56	25	45	45	59	50	57	0
12	Philippe Myers				X	100.00	81	45	82	80	76	71	82	60	25	58	49	65	25	53	53	63	50	66	0
13	Josh Brown				X	100.00	79	79	80	62	87	62	75	55	25	48	48	65	25	57	57	58	50	62	0
14	Sami Niku				X	100.00	73	43	80	75	66	69	61	61	25	63	47	66	25	48	48	61	50	62	0
15	Tommy Cross				X	100.00	75	77	69	67	77	72	77	54	25	45	48	62	46	44	44	57	50	60	0
16	Nikolai Knyzhov (R)				X	100.00	78	76	81	70	76	57	61	46	25	36	40	62	38	44	44	52	50	58	0
Scratches
1	Cory Conacher		X	X		100.00	67	63	75	71	63	74	77	67	50	65	62	66	59	64	65	65	50	64	1
2	Hunter Shinkaruk		X			100.00	73	65	93	63	65	57	58	56	50	47	58	64	55	52	52	60	50	57	0
3	Jack Rodewald			X		100.00	69	62	85	68	62	69	74	52	50	50	47	60	45	50	50	55	50	56	0
4	Brandon Baddock		X			100.00	69	80	43	66	80	71	76	51	50	48	50	58	48	44	44	55	50	56	0
5	Giovanni Fiore		X	X		100.00	77	71	91	55	71	55	56	53	50	38	61	64	58	50	50	59	50	55	0
6	Mason Geertsen				X	100.00	71	79	52	63	79	69	76	45	25	36	39	58	37	44	44	50	50	57	0
7	Evan McEneny				X	100.00	76	75	78	63	75	56	59	45	25	31	42	62	40	51	51	51	50	56	0

	TEAM AVERAGE					100.00	74	61	82	68	71	64	72	57	43	53	53	64	40	51	51	60	50	60

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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.
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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	Alex Lyon	100.00	61	68	85	75	61	64	54	64	59	58	30	45	45	61	50	61	0
2	Adam Wilcox	100.00	47	55	69	69	43	46	50	53	46	47	30	44	44	48	50	51	0
Scratches
1	Brad Thiessen	100.00	47	51	64	58	45	47	50	53	47	48	30	44	44	48	50	50	0

	TEAM AVERAGE	100.00	52	58	73	67	50	52	51	57	51	51	30	44	44	52	50	54

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jim Montgomery	76	97	58	87	66	60	74	CAN	51	1	900,000$

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1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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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	HT	P/20	PSG	PSS	S1	S2	S3
1	Nicolas Aube-Kubel	Blue Jackets	RW	30	25	22	47	41	22	0	56	18	121	29	72	20.66%	2	603	20.12	3	4	7	12	85	1	1	2	4	104	2	0	86.11%	36	3	1.56	1	3	8	4	2
2	Phillip Di Giuseppe	Monsters (CLB)	LW/RW	30	16	29	45	40	12	0	25	45	81	19	58	19.75%	5	622	20.74	2	4	6	11	84	1	1	2	6	114	1	0	55.21%	259	1	1.45	1	3	3	3	1
3	Dylan Gambrell	Monsters (CLB)	C/LW/RW	30	18	23	41	28	16	0	26	41	81	24	65	22.22%	8	570	19.01	3	4	7	8	84	0	0	0	4	67	2	0	74.83%	437	0	1.44	0	0	6	0	2
4	Filip Chlapik	Monsters (CLB)	C	30	12	28	40	41	14	0	42	29	70	24	44	17.14%	1	554	18.47	2	4	6	11	84	0	0	0	1	62	3	2	63.06%	536	0	1.44	1	1	1	4	3
5	Frederick Gaudreau	Monsters (CLB)	C/RW	30	17	22	39	39	4	0	20	39	96	31	64	17.71%	1	469	15.66	2	1	3	4	19	0	0	0	3	25	4	0	81.76%	307	0	1.66	0	0	3	2	3
6	Greg McKegg	Monsters (CLB)	C/LW	30	9	22	31	25	18	0	42	30	90	28	66	10.00%	4	489	16.33	2	3	5	15	86	0	0	0	0	3	2	2	53.85%	26	0	1.27	0	0	1	3	1
7	Denis Malgin	Monsters (CLB)	C/RW	30	14	16	30	25	20	0	24	28	79	25	54	17.72%	0	489	16.31	2	5	7	10	88	0	0	0	0	1	0	1	71.43%	28	0	1.23	0	0	0	2	2
8	Kole Lind	Monsters (CLB)	RW	30	8	22	30	37	8	0	26	15	67	18	57	11.94%	2	438	14.62	0	1	1	3	11	0	1	1	2	58	1	0	71.11%	45	0	1.37	0	0	1	0	2
9	Patrick Russell	Monsters (CLB)	LW/RW	30	14	14	28	37	22	0	28	34	84	22	58	16.67%	2	399	13.31	0	2	2	3	11	1	0	1	2	42	2	0	73.33%	15	0	1.40	0	0	1	4	0
10	Sami Niku	Monsters (CLB)	D	30	1	24	25	30	20	0	34	18	27	10	10	3.70%	19	690	23.01	1	5	6	18	84	0	0	0	0	106	0	0	0.00%	0	0	0.72	0	0	0	0	3
11	Tommy Cross	Monsters (CLB)	D	30	7	17	24	44	30	0	61	6	24	8	21	29.17%	14	648	21.63	3	2	5	13	87	0	1	1	1	102	0	0	0.00%	0	0	0.74	0	0	1	1	2
12	Josh Brown	Monsters (CLB)	D	30	5	17	22	43	16	0	42	11	27	8	17	18.52%	12	626	20.87	2	3	5	13	81	0	0	0	2	97	2	0	0.00%	0	0	0.70	0	0	1	0	2
13	Philippe Myers	Monsters (CLB)	D	30	4	16	20	30	20	0	56	15	38	11	17	10.53%	22	696	23.22	0	4	4	14	85	0	1	1	2	102	0	0	0.00%	0	0	0.57	0	0	0	0	0
14	Justin Kirkland	Monsters (CLB)	LW	30	6	11	17	17	6	0	25	9	35	12	19	17.14%	0	252	8.41	0	0	0	0	1	0	0	0	0	0	1	0	66.67%	12	0	1.35	0	0	0	1	1
15	Lukas Jasek	Monsters (CLB)	RW	30	5	11	16	50	29	5	40	8	30	9	24	16.67%	4	503	16.78	1	0	1	1	2	0	0	0	0	0	3	0	62.50%	8	0	0.64	0	0	0	1	0
16	T.J. Tynan	Monsters (CLB)	C	30	6	9	15	17	2	0	2	16	35	7	24	17.14%	0	251	8.40	0	0	0	0	0	0	0	0	0	0	1	1	63.76%	218	0	1.19	0	0	1	1	1
17	Nikolai Knyzhov	Monsters (CLB)	D	30	4	8	12	44	26	0	46	7	19	3	7	21.05%	9	504	16.82	0	2	2	3	19	0	0	0	1	41	1	0	0.00%	0	0	0.48	0	0	0	0	0
Team Total or Average				510	171	311	482	588	285	5	595	369	1004	288	677	17.03%	105	8810	17.28	23	44	67	139	918	3	5	8	28	932	25	6	68.45%	1927	4	1.09	3	7	27	26	25

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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
1	Alex Lyon	Monsters (CLB)	30	27	2	1	0.910	1.25	1819	0	8	38	422	0	0	0	0.714	7	30	0	1	0	0
Team Total or Average			30	27	2	1	0.910	1.25	1819	0	8	38	422	0	0	0	0.714	7	30	0	1	0	0

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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	Salary Year 4	Link
Adam Wilcox	Monsters (CLB)	G	26	1994-04-25	No	187 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	650,000$	0$	0$	No				Link / NHL Link
Alex Lyon	Monsters (CLB)	G	27	1992-12-08	No	201 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No				Link / NHL Link
Brad Thiessen	Monsters (CLB)	G	34	1986-03-18	No	171 Lbs	5 ft11	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No				Link / NHL Link
Brandon Baddock	Monsters (CLB)	LW	25	1995-03-29	No	215 Lbs	6 ft3	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$		Link / NHL Link
Cory Conacher	Monsters (CLB)	LW/RW	30	1989-12-14	No	180 Lbs	5 ft8	No	No	No	1	Pro & Farm	850,000$	850,000$	0$	0$	No				Link / NHL Link
Denis Malgin	Monsters (CLB)	C/RW	23	1997-01-18	No	177 Lbs	5 ft9	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No				Link / NHL Link
Dylan Gambrell	Monsters (CLB)	C/LW/RW	24	1996-08-26	Yes	195 Lbs	6 ft0	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$	700,000$		Link / NHL Link
Evan McEneny	Monsters (CLB)	D	26	1994-05-22	No	203 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No				Link / NHL Link
Filip Chlapik	Monsters (CLB)	C	23	1997-06-03	No	196 Lbs	6 ft1	No	No	No	1	Pro & Farm	894,167$	894,167$	0$	0$	No				Link / NHL Link
Frederick Gaudreau	Monsters (CLB)	C/RW	27	1993-05-01	No	179 Lbs	6 ft0	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$		Link / NHL Link
Giovanni Fiore	Monsters (CLB)	LW/RW	24	1996-08-13	No	194 Lbs	6 ft1	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$			Link / NHL Link
Greg McKegg	Monsters (CLB)	C/LW	28	1992-06-17	No	191 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$			Link / NHL Link
Hunter Shinkaruk	Monsters (CLB)	LW	26	1994-10-13	No	181 Lbs	5 ft10	No	No	No	0	Pro & Farm			0$	0$	No				Link / NHL Link
Jack Rodewald	Monsters (CLB)	RW	26	1994-02-14	No	169 Lbs	6 ft0	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No				Link / NHL Link
Josh Brown	Monsters (CLB)	D	26	1994-01-21	No	225 Lbs	6 ft5	No	No	No	1	Pro & Farm	700,000$	700,000$	0$	0$	No				Link / NHL Link
Justin Kirkland	Monsters (CLB)	LW	24	1996-08-02	No	183 Lbs	6 ft3	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$	700,000$		Link / NHL Link
Kole Lind	Monsters (CLB)	RW	22	1998-10-16	No	178 Lbs	6 ft1	No	No	No	3	Pro & Farm	891,333$	891,333$	0$	0$	No	891,333$	891,333$		Link / NHL Link
Lukas Jasek	Monsters (CLB)	RW	23	1997-08-28	No	183 Lbs	6 ft1	No	No	No	3	Pro & Farm	853,333$	853,333$	0$	0$	No	853,333$	853,333$		Link / NHL Link
Mason Geertsen	Monsters (CLB)	D	25	1995-04-18	No	215 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$		Link / NHL Link
Nikolai Knyzhov	Monsters (CLB)	D	22	1998-05-20	Yes	203 Lbs	6 ft3	No	No	No	1	Pro & Farm	810,000$	810,000$	0$	0$	No				Link / NHL Link
Patrick Russell	Monsters (CLB)	LW/RW	27	1993-01-03	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No				Link / NHL Link
Philippe Myers	Monsters (CLB)	D	23	1997-01-25	No	196 Lbs	6 ft5	No	No	No	1	Pro & Farm	678,333$	678,333$	0$	0$	No				Link / NHL Link
Phillip Di Giuseppe	Monsters (CLB)	LW/RW	27	1993-10-09	No	201 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No				Link / NHL Link
Sami Niku	Monsters (CLB)	D	24	1996-10-10	No	176 Lbs	6 ft1	No	No	No	2	Pro & Farm	916,666$	916,666$	0$	0$	No	916,666$			Link / NHL Link
T.J. Tynan	Monsters (CLB)	C	28	1992-02-24	No	165 Lbs	5 ft8	No	No	No	4	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	800,000$	800,000$	Link / NHL Link
Tommy Cross	Monsters (CLB)	D	31	1989-09-12	No	205 Lbs	6 ft3	No	No	No	2	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	25.81	191 Lbs	6 ft1	1.77	743,032$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Phillip Di Giuseppe	Filip Chlapik		40	1	2	2
2	Greg McKegg	Dylan Gambrell	Denis Malgin	30	1	2	2
3	Patrick Russell	Frederick Gaudreau	Kole Lind	20	1	2	2
4	Justin Kirkland	T.J. Tynan	Lukas Jasek	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philippe Myers	Sami Niku	40	1	2	2
2	Josh Brown	Tommy Cross	30	1	2	2
3	Nikolai Knyzhov	Lukas Jasek	20	1	2	2
4	Philippe Myers	Sami Niku	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Phillip Di Giuseppe	Filip Chlapik		60	1	2	2
2	Greg McKegg	Dylan Gambrell	Denis Malgin	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philippe Myers	Sami Niku	60	1	2	2
2	Josh Brown	Tommy Cross	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Phillip Di Giuseppe		60	1	2	2
2	Filip Chlapik	Dylan Gambrell	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philippe Myers	Sami Niku	60	1	2	2
2	Josh Brown	Tommy Cross	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Phillip Di Giuseppe	60	1	2	2	Philippe Myers	Sami Niku	60	1	2	2
2		40	1	2	2	Josh Brown	Tommy Cross	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Phillip Di Giuseppe		60	1	2	2
2	Filip Chlapik	Dylan Gambrell	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Philippe Myers	Sami Niku	60	1	2	2
2	Josh Brown	Tommy Cross	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Phillip Di Giuseppe	Filip Chlapik		Philippe Myers	Sami Niku

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Phillip Di Giuseppe	Filip Chlapik		Philippe Myers	Sami Niku

Extra Forwards
Normal	PowerPlay	Penalty Kill
Frederick Gaudreau, Patrick Russell, Kole Lind	Frederick Gaudreau, Patrick Russell	Kole Lind

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Nikolai Knyzhov, Josh Brown, Tommy Cross	Nikolai Knyzhov	Josh Brown, Tommy Cross

Penalty Shots
Phillip Di Giuseppe, , Filip Chlapik, Dylan Gambrell, Denis Malgin

Goalie
#1 : Alex Lyon, #2 : Adam Wilcox

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

Custom OT Lines Defensemen
, , , ,

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	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	2	0	0	0	0	0	0	15	2	13	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	8	1	7	4	1.000	15	24	39	0	0	78	50	42	4	97	356	311	330	14	20	5	10	44	4	0	0.00%	4	0	100.00%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
2	Bruins	2	1	0	0	0	0	1	0	5	2	3	1	1	0	0	0	0	0	0	2	0	2	1	0	0	0	0	0	1	0	3	2	1	4	1.000	5	7	12	0	1	78	50	42	4	41	356	311	330	14	27	10	20	42	14	3	21.43%	9	1	88.89%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
3	Checkers	2	2	0	0	0	0	0	0	15	3	12	1	1	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	6	1	5	4	1.000	15	27	42	0	0	78	50	42	4	81	356	311	330	14	29	6	18	30	4	1	25.00%	9	1	88.89%	1	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
4	Comets	2	0	1	0	1	0	0	0	4	4	0	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	4	8	12	0	0	78	50	42	4	33	356	311	330	14	40	6	26	42	14	2	14.29%	12	0	100.00%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
5	Crunch	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	9	16	25	0	0	78	50	42	4	60	356	311	330	14	21	7	24	35	11	2	18.18%	12	1	91.67%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
6	Devils	2	2	0	0	0	0	0	0	16	1	15	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	8	0	8	4	1.000	16	32	48	0	1	78	50	42	4	88	356	311	330	14	26	3	16	37	5	1	20.00%	7	0	100.00%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
7	Griffins	2	2	0	0	0	0	0	0	16	1	15	1	1	0	0	0	0	0	0	9	0	9	1	1	0	0	0	0	0	0	7	1	6	4	1.000	16	30	46	0	1	78	50	42	4	69	356	311	330	14	27	5	22	35	10	3	30.00%	11	1	90.91%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
8	Marlies	2	2	0	0	0	0	0	0	17	3	14	1	1	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	8	2	6	4	1.000	17	31	48	0	0	78	50	42	4	82	356	311	330	14	25	3	16	46	8	3	37.50%	8	0	100.00%	1	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
9	Penguins	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	0	3	4	1.000	7	14	21	0	1	78	50	42	4	51	356	311	330	14	20	10	16	39	8	2	25.00%	8	1	87.50%	1	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
10	Phantoms	2	2	0	0	0	0	0	0	11	2	9	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	5	1	4	4	1.000	11	21	32	0	0	78	50	42	4	64	356	311	330	14	38	10	18	46	4	1	25.00%	9	1	88.89%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
11	Rocket	2	1	0	0	0	0	0	1	9	6	3	1	1	0	0	0	0	0	0	7	3	4	1	0	0	0	0	0	0	1	2	3	-1	3	0.750	9	16	25	0	0	78	50	42	4	55	356	311	330	14	26	15	18	41	10	2	20.00%	9	2	77.78%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
12	Senators	2	1	0	0	0	0	1	0	9	5	4	1	0	0	0	0	0	1	0	4	3	1	1	1	0	0	0	0	0	0	5	2	3	4	1.000	9	14	23	0	0	78	50	42	4	54	356	311	330	14	34	7	26	47	5	1	20.00%	13	1	92.31%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
13	Sound Tigers	2	2	0	0	0	0	0	0	15	0	15	1	1	0	0	0	0	0	0	8	0	8	1	1	0	0	0	0	0	0	7	0	7	4	1.000	15	25	40	0	2	78	50	42	4	92	356	311	330	14	20	3	6	35	3	0	0.00%	3	0	100.00%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
14	Thunderbirds	2	1	1	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	0	1	-1	2	0.500	5	10	15	0	0	78	50	42	4	48	356	311	330	14	47	13	43	36	4	1	25.00%	13	0	100.00%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
	Total	30	24	2	0	1	0	2	1	173	39	134	15	13	0	0	1	0	1	0	95	22	73	15	11	2	0	0	0	1	1	78	17	61	55	0.917	173	312	485	0	8	78	50	42	4	1004	356	311	330	14	422	105	285	595	109	23	21.10%	130	9	93.08%	3	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
16	Wolf Pack	2	2	0	0	0	0	0	0	20	0	20	1	1	0	0	0	0	0	0	9	0	9	1	1	0	0	0	0	0	0	11	0	11	4	1.000	20	37	57	0	2	78	50	42	4	89	356	311	330	14	22	2	6	40	5	1	20.00%	3	0	100.00%	0	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
	_Since Last GM Reset	30	24	2	0	1	0	2	1	173	39	134	15	13	0	0	1	0	1	0	95	22	73	15	11	2	0	0	0	1	1	78	17	61	55	0.917	173	312	485	0	8	78	50	42	4	1004	356	311	330	14	422	105	285	595	109	23	21.10%	130	9	93.08%	3	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
	_Vs Conference	30	24	2	0	1	0	2	1	173	39	134	15	13	0	0	1	0	1	0	95	22	73	15	11	2	0	0	0	1	1	78	17	61	55	0.917	173	312	485	0	8	78	50	42	4	1004	356	311	330	14	422	105	285	595	109	23	21.10%	130	9	93.08%	3	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
	_Vs Division	14	10	1	0	1	0	1	1	70	25	45	7	5	0	0	1	0	1	0	41	13	28	7	5	1	0	0	0	0	1	29	12	17	25	0.893	70	124	194	0	2	78	50	42	4	409	356	311	330	14	207	60	169	282	62	15	24.19%	75	6	92.00%	1	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
30	55	W1	173	312	485	1004	422	105	285	595	0	8

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	24	2	1	0	2	1	173	39

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	13	0	1	0	1	0	95	22

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
15	11	2	0	0	1	1	78	17

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	1	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
109	23	21.10%	130	9	93.08%	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
356	311	330	14	78	50	42	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
602	840	71.67%	380	597	63.65%	337	490	68.78%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1029	803	449	157	340	205

Last Played Games Show or Hide Column

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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
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2020-10-24	15	Rocket	3	Monsters	7	W			BoxScore
2 - 2020-10-25	30	Monsters	3	Penguins	0	W			BoxScore
3 - 2020-10-26	39	Marlies	1	Monsters	9	W			BoxScore
4 - 2020-10-27	48	Monsters	7	Sound Tigers	0	W			BoxScore
5 - 2020-10-28	73	Griffins	0	Monsters	9	W			BoxScore
6 - 2020-10-29	81	Monsters	11	Wolf Pack	0	W			BoxScore
8 - 2020-10-31	105	Monsters	8	Marlies	2	W			BoxScore
9 - 2020-11-01	115	Thunderbirds	2	Monsters	5	W			BoxScore
10 - 2020-11-02	129	Monsters	6	Checkers	1	W			BoxScore
11 - 2020-11-03	149	Sound Tigers	0	Monsters	8	W			BoxScore
12 - 2020-11-04	164	Bears	1	Monsters	7	W			BoxScore
13 - 2020-11-05	178	Monsters	8	Bears	1	W			BoxScore
15 - 2020-11-07	191	Senators	3	Monsters	4	W	X	X	BoxScore
17 - 2020-11-09	223	Phantoms	1	Monsters	6	W			BoxScore
19 - 2020-11-11	249	Comets	2	Monsters	3	W	X		BoxScore
21 - 2020-11-13	270	Monsters	2	Rocket	3	L	X	X	BoxScore
22 - 2020-11-14	280	Checkers	2	Monsters	9	W			BoxScore
23 - 2020-11-15	299	Monsters	0	Thunderbirds	1	L			BoxScore
24 - 2020-11-16	312	Devils	1	Monsters	8	W			BoxScore
25 - 2020-11-17	323	Monsters	8	Devils	0	W			BoxScore
26 - 2020-11-18	341	Crunch	4	Monsters	5	W			BoxScore
27 - 2020-11-19	353	Monsters	7	Griffins	1	W			BoxScore
29 - 2020-11-21	373	Bruins	0	Monsters	2	W			BoxScore
32 - 2020-11-24	404	Penguins	2	Monsters	4	W			BoxScore
33 - 2020-11-25	427	Monsters	5	Senators	2	W			BoxScore
34 - 2020-11-26	434	Monsters	1	Comets	2	L			BoxScore
35 - 2020-11-27	436	Wolf Pack	0	Monsters	9	W			BoxScore
36 - 2020-11-28	438	Monsters	4	Crunch	1	W			BoxScore
37 - 2020-11-29	440	Monsters	3	Bruins	2	W	X	X	BoxScore
38 - 2020-11-30	449	Monsters	5	Phantoms	1	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena 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	Arena 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$	1,931,883$	1,930,550$	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$

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
2020	30	24	2	0	1	0	2	1	173	39	134	15	13	0	0	1	0	1	0	95	22	73	15	11	2	0	0	0	1	1	78	17	61	55	173	312	485	0	8	78	50	42	4	1004	356	311	330	14	422	105	285	595	109	23	21.10%	130	9	93.08%	3	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205
Total Regular Season	30	24	2	0	1	0	2	1	173	39	134	15	13	0	0	1	0	1	0	95	22	73	15	11	2	0	0	0	1	1	78	17	61	55	173	312	485	0	8	78	50	42	4	1004	356	311	330	14	422	105	285	595	109	23	21.10%	130	9	93.08%	3	602	840	71.67%	380	597	63.65%	337	490	68.78%	1029	803	449	157	340	205