LHP - Today's Games Farm

Roster

Player	#	POS	CON	Age	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	Overall	Condition	Contract
Jamie McGinn (C)	0	LW	99.00	31	80	41	83	66	78	67	59	65	54	66	67	58	64	79	72	0	40	71	99.00	2,950,000$/3yrs
Lukas Radil	0	LW/RW	98.58	29	68	38	86	66	86	72	60	65	61	64	66	64	62	77	70	0	40	71	98.58	987,654$/4yrs
Alexander True	0	C	100.00	22	72	38	86	63	89	93	91	62	67	61	60	63	61	63	62	0	40	70	100.00	650,000$/1yrs
Frederick Gaudreau	0	C/RW	95.00	26	56	35	94	63	72	64	68	62	70	63	64	66	62	71	67	0	40	69	95.00	0$/4yrs
Jean-Sebastien Dea	0	C/RW	98.00	26	57	39	82	65	67	79	66	64	72	63	65	67	62	69	66	0	40	69	98.00	585,000$/1yrs
Taylor Raddysh (R)	0	C/RW	100.00	21	72	37	88	63	87	93	88	61	53	60	56	62	58	61	63	0	40	69	100.00	894,166$/3yrs
Nick Lappin	0	LW/RW	100.00	27	59	36	92	60	72	84	69	58	58	56	57	59	55	73	67	0	40	66	100.00	750,000$/1yrs
Cory Conacher (A)	0	LW/RW	100.00	30	50	39	81	60	65	78	71	59	62	61	57	58	56	78	70	0	40	66	100.00	800,000$/1yrs
Tobias Lindberg	0	LW/RW	100.00	24	72	37	89	55	86	92	88	54	52	54	51	57	53	67	64	0	40	66	100.00	693,000$/2yrs
Adam Mascherin (R)	0	LW	100.00	21	50	36	90	59	61	94	95	58	63	58	55	52	57	61	63	0	40	65	100.00	880,000$/3yrs
Alexandre Alain	0	C/RW	100.00	22	59	37	88	58	76	94	93	57	61	56	52	55	54	63	62	0	40	65	100.00	775,000$/4yrs
Sam Anas	0	C/RW	100.00	26	51	35	93	59	61	91	87	58	65	59	55	53	57	71	66	0	40	65	100.00	575,000$/4yrs
Keegan Lowe (A)	0	D	100.00	26	63	39	81	56	79	93	90	54	30	57	52	56	48	71	76	0	40	66	100.00	795,000$/2yrs
Daniel Brickley	0	D	100.00	24	63	36	92	59	84	80	65	58	30	59	53	57	45	67	64	0	40	66	100.00	987,654$/4yrs
Dillon Simpson	0	D	100.00	27	67	36	92	54	81	94	95	53	30	56	52	58	51	72	66	0	40	66	100.00	925,000$/1yrs
Kevin Czuczman	0	D	100.00	29	67	39	82	56	82	92	89	54	30	56	51	57	45	75	68	0	40	66	100.00	975,000$/1yrs
Samuel Morin	0	D	100.00	23	78	30	84	56	65	86	38	67	32	56	54	79	53	50	50	0	40	66	100.00	1,363,000$/2yrs
Dennis Robertson	0	D	100.00	28	66	38	84	54	79	89	83	53	30	52	51	56	45	75	68	0	40	65	100.00	623,000$/1yrs
Scratches
John Stevens	0	C	100.00	25	61	39	83	55	77	78	72	54	56	53	52	55	53	69	65	0	40	64	100.00	725,000$/4yrs
Yannick Veilleux	0	LW	100.00	26	64	41	76	54	79	89	83	53	54	51	52	55	53	71	66	0	40	64	100.00	833,000$/2yrs
Daniel Ciampini	0	LW/RW	100.00	29	61	38	80	56	70	62	61	54	55	52	51	56	57	68	65	0	40	63	100.00	987,654$/4yrs
Justin Holl	0	D	100.00	28	56	35	93	58	86	73	53	56	30	57	51	52	48	73	67	0	40	64	100.00	500,000$/2yrs
Thomas Gregoire	0	D	100.00	21	56	34	80	55	71	76	72	55	30	56	52	55	45	64	65	0	40	63	100.00	678,987$/4yrs
Tom Parisi (R)	0	D	100.00	25	46	35	81	71	66	45	40	45	30	42	42	54	49	60	55	0	40	58	100.00	575,000$/2yrs

	TEAM AVERAGE		99.61

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	#	CON	AGE	DI	ST	EN	DU	PA	DF	PS	EX	LD	PO	MO	Overall
Charlie Lindgren	0	100.00	26	76	64	66	76	76	75	71	75	0	40	68	925,000$/1yrs
Scratches
Mike Condon	0	94.00	29	74	63	65	74	74	73	77	83	0	40	68	1,575,000$/3yrs
Connor LaCouvee	0	100.00	25	59	68	54	61	60	30	44	44	0	40	58	876,543$/4yrs

	TEAM AVERAGE	98.00

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd Richards	82	77	85	81	55	70	1	USA	52	1	525,000$

General Manager

Player Stats

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	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	GA	TA	EG	HT	P/20	PSG
1	Frederick Gaudreau	Wolves (VGK)	C/RW	56	25	29	54	16	2	0	22	207	53	142	12.08%	13	19.52	4	4	8	74	1	0	1	40	8	4	57.41%	1073	0	0	0	0.99	1	2
2	Lukas Radil	Wolves (VGK)	LW/RW	54	18	32	50	-4	18	0	62	197	48	137	9.14%	10	20.36	2	8	10	90	0	0	0	57	2	2	42.16%	185	0	0	1	0.91	1	1
3	Taylor Raddysh	Wolves (VGK)	C/RW	61	20	29	49	4	10	0	126	211	66	131	9.48%	10	20.33	1	7	8	110	0	0	0	45	1	1	48.56%	348	0	0	0	0.79	1	1
4	Jean-Sebastien Dea	Wolves (VGK)	C/RW	46	21	21	42	11	2	0	40	213	44	128	9.86%	18	20.05	2	3	5	87	0	0	0	60	5	0	52.23%	381	0	1	0	0.91	2	2
5	Cory Conacher	Wolves (VGK)	LW/RW	60	16	22	38	5	12	0	27	152	39	98	10.53%	12	17.05	0	4	4	50	0	0	0	22	4	3	51.78%	309	0	0	1	0.74	0	0
6	Alexander True	Wolves (VGK)	C	39	15	19	34	-4	26	0	84	136	40	88	11.03%	9	21.69	4	3	7	70	0	1	1	39	3	0	52.52%	417	0	0	0	0.80	0	0
7	Alexandre Alain	Wolves (VGK)	C/RW	61	14	19	33	12	14	0	46	92	25	55	15.22%	8	16.39	4	4	8	84	0	0	0	71	2	2	48.74%	796	0	0	0	0.66	0	0
8	Daniel Brickley	Wolves (VGK)	D	57	4	24	28	-1	32	0	79	51	28	43	7.84%	76	23.13	3	1	4	105	0	1	1	96	0	0	0.00%	0	0	0	0	0.42	0	0
9	Tobias Lindberg	Wolves (VGK)	LW/RW	60	9	18	27	17	24	0	97	55	24	46	16.36%	4	13.85	0	2	2	48	0	0	0	41	1	1	52.22%	90	0	0	0	0.65	0	0
10	Jamie McGinn	Wolves (VGK)	LW	47	8	18	26	-17	24	0	107	113	32	83	7.08%	10	18.46	2	2	4	88	0	1	1	37	2	2	47.67%	600	0	1	0	0.60	0	0
11	Samuel Morin	Wolves (VGK)	D	28	6	20	26	18	22	0	71	43	14	40	13.95%	33	20.66	0	2	2	32	0	0	0	26	1	0	0.00%	0	0	0	0	0.90	0	0
12	Dillon Simpson	Wolves (VGK)	D	48	5	16	21	22	18	0	70	48	8	25	10.42%	76	24.77	1	3	4	85	0	0	0	94	1	0	0.00%	0	0	0	0	0.35	0	0
13	Keegan Lowe	Wolves (VGK)	D	57	2	15	17	-2	24	0	92	56	14	26	3.57%	76	22.15	0	4	4	84	0	0	0	116	0	0	0.00%	0	0	0	0	0.27	0	0
14	Sam Anas	Wolves (VGK)	C/RW	61	4	12	16	7	6	0	16	67	27	37	5.97%	1	10.18	0	1	1	9	0	0	0	10	2	0	50.50%	598	0	0	0	0.52	0	0
15	Kevin Czuczman	Wolves (VGK)	D	60	4	12	16	-6	68	10	99	48	16	39	8.33%	70	22.76	3	0	3	71	0	0	0	69	1	0	0.00%	0	0	0	0	0.23	0	0
16	Nick Lappin	Wolves (VGK)	LW/RW	57	6	9	15	-8	4	0	36	69	25	52	8.70%	8	9.91	0	3	3	49	0	0	0	27	0	0	57.81%	64	0	0	0	0.53	0	1
17	Dennis Robertson	Wolves (VGK)	D	46	3	9	12	-3	14	0	41	25	6	26	12.00%	33	14.37	2	2	4	61	0	0	0	32	1	0	0.00%	0	0	0	0	0.36	0	0
18	Justin Holl	Wolves (VGK)	D	41	3	8	11	1	4	0	27	28	2	15	10.71%	35	19.19	1	0	1	61	1	0	1	52	0	0	0.00%	0	0	0	0	0.28	0	0
19	Adam Mascherin	Wolves (VGK)	LW	60	5	4	9	0	2	0	6	45	10	30	11.11%	4	5.81	0	0	0	14	0	0	0	43	1	1	63.16%	19	0	0	0	0.52	0	0
20	Thomas Gregoire	Wolves (VGK)	D	24	0	3	3	1	0	0	6	4	4	5	0.00%	2	5.82	0	2	2	27	0	0	0	25	0	0	0.00%	0	0	0	0	0.43	0	0
21	John Stevens	Wolves (VGK)	C	30	0	2	2	2	2	0	11	6	2	8	0.00%	0	3.33	0	0	0	2	0	0	0	0	0	0	55.07%	69	0	0	0	0.40	0	0
22	Yannick Veilleux	Wolves (VGK)	LW	29	0	1	1	1	2	0	1	1	1	2	0.00%	0	0.57	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0	1.22	0	0
23	Tom Parisi	Wolves (VGK)	D	5	0	0	0	0	0	0	2	0	0	0	0.00%	0	7.86	0	0	0	1	0	0	0	1	0	0	0.00%	0	0	0	0	0.00	0	0
24	Daniel Ciampini	Wolves (VGK)	LW/RW	3	0	0	0	1	2	0	8	1	0	1	0.00%	0	7.29	0	0	0	3	0	0	0	0	0	0	50.00%	2	0	0	0	0.00	0	0
Team Total or Average			1090	188	342	530	73	332	10	1176	1868	528	1257	10.06%	508	16.45	29	55	84	1317	2	3	5	1015	35	16	51.54%	4953	0	2	2	0.59	5	7

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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Charlie Lindgren	Wolves (VGK)	33	21	7	2	0.903	2.87	1883	2	1	90	925	0	0	0.333	3	32	29	1	2	3
2	Mike Condon	Wolves (VGK)	31	17	11	3	0.910	2.76	1807	2	0	83	926	0	1	1.000	6	29	31	1	2	3
Team Total or Average		64	38	18	5	0.907	2.81	3691	4	1	173	1851	0	1	0.778	9	61	60	2	4	6

Salary

Player Name	POS	Age	Cap Hit	2017-18	2018-19	2019-20	2020-21
Adam Mascherin	LW	21	880,000$	880,000$	880,000$	880,000$
Alexander True	C	22	650,000$	650,000$
Alexandre Alain	C/RW	22	775,000$	775,000$	775,000$	775,000$	775,000$
			0$	0$
			0$	0$
Cory Conacher	LW/RW	30	800,000$	800,000$
Daniel Brickley	D	24	987,654$	987,654$	987,654$	987,654$	987,654$
Daniel Ciampini	LW/RW	29	987,654$	987,654$	987,654$	987,654$	987,654$
Dennis Robertson	D	28	575,000$	575,000$
Dillon Simpson	D	27	975,000$	975,000$
Frederick Gaudreau	C/RW	26	2,029,659$	2,029,659$	2,029,659$	2,029,659$	2,029,659$
Jamie McGinn	LW	31	1,075,000$	1,075,000$	782,000$	684,000$
Jean-Sebastien Dea	C/RW	26	750,000$	750,000$
John Stevens	C	25	1,171,000$	1,171,000$	1,171,000$	1,171,000$	1,171,000$
Justin Holl	D	28	888,000$	888,000$	888,000$
Keegan Lowe	D	26	675,000$	675,000$	675,000$
Kevin Czuczman	D	29	975,000$	975,000$
Lukas Radil	LW/RW	29	987,654$	987,654$	987,654$	987,654$	987,654$
			0$	0$
Nick Lappin	LW/RW	27	750,000$	750,000$
Sam Anas	C/RW	26	840,000$	840,000$	840,000$	840,000$	840,000$
Samuel Morin	D	23	741,000$	741,000$	741,000$
Taylor Raddysh	C/RW	21	894,166$	894,166$	894,166$	894,166$
Thomas Gregoire	D	21	678,987$	678,987$	678,987$	678,987$	678,987$
Tobias Lindberg	LW/RW	24	900,000$	900,000$	900,000$
Tom Parisi	D	25	575,000$	575,000$	575,000$
Yannick Veilleux	LW	26	675,000$	675,000$	675,000$

Lines

Forward Lines
OV71 - Jamie McGinn	OV69 - Frederick Gaudreau	OV69 - Jean-Sebastien Dea
OV71 - Lukas Radil	OV70 - Alexander True	OV69 - Taylor Raddysh
OV66 - Nick Lappin	OV65 - Alexandre Alain	OV66 - Tobias Lindberg
OV65 - Adam Mascherin	OV65 - Sam Anas	OV66 - Cory Conacher

Defensive Pairings
OV66 - Daniel Brickley	OV66 - Keegan Lowe
OV66 - Samuel Morin	OV66 - Dillon Simpson
OV66 - Kevin Czuczman	OV65 - Dennis Robertson

1st Power Play Unit
OV71 - Jamie McGinn		OV70 - Alexander True		OV69 - Jean-Sebastien Dea
OV65 - Dennis Robertson			OV66 - Keegan Lowe

2nd Power Play Unit
OV71 - Lukas Radil		OV69 - Frederick Gaudreau		OV69 - Taylor Raddysh
OV66 - Samuel Morin			OV66 - Dillon Simpson

Goalies

Team Stats

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

#	VS Team	GP	W	L	OTW	OTL	SOW	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	GF%	SH%	SV%	PDO	PDOBRK
1	Heat	2	2	0	0	0	0	5	2	3	4	1.000	5	8	13	0	0	60	64	60	10	64	592	662	600	40	51	22	14	28	7	3	42.86%	7	2	71.43%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	100.0%	7.8%	96.1%	103.9	DULL
2	Phantoms	2	1	0	1	0	0	8	5	3	4	1.000	8	16	24	0	0	60	64	60	10	54	592	662	600	40	59	11	12	47	5	1	20.00%	5	1	80.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	63.6%	14.8%	91.5%	106.3	LUCKY
3	Barracuda	4	0	3	0	1	0	8	20	-12	1	0.125	8	14	22	0	0	60	64	60	10	128	592	662	600	40	131	33	12	92	6	1	16.67%	3	1	66.67%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	26.9%	6.3%	84.7%	91.0	Unlucky
4	Senators	2	1	0	1	0	0	7	2	5	4	1.000	7	12	19	0	0	60	64	60	10	64	592	662	600	40	60	7	10	30	3	0	0.00%	5	0	100.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	77.8%	10.9%	96.7%	107.6	LUCKY
5	Reign	3	2	1	0	0	0	8	8	0	4	0.667	8	16	24	0	0	60	64	60	10	77	592	662	600	40	100	23	10	64	8	2	25.00%	5	2	60.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	50.0%	10.4%	92.0%	102.4	LUCKY
6	Checkers	2	1	0	0	1	0	9	8	1	3	0.750	9	16	25	0	0	60	64	60	10	70	592	662	600	40	49	15	16	44	6	2	33.33%	8	3	62.50%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	58.3%	12.9%	83.7%	96.5	FUN
7	Comets	2	1	0	0	0	1	11	8	3	4	1.000	11	19	30	0	0	60	64	60	10	77	592	662	600	40	63	12	8	28	6	0	0.00%	4	0	100.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	57.9%	14.3%	87.3%	101.6	FUN
8	Wolf Pack	2	1	1	0	0	0	5	7	-2	2	0.500	5	10	15	0	0	60	64	60	10	55	592	662	600	40	70	13	8	31	6	3	50.00%	4	1	75.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	25.0%	9.1%	90.0%	99.1	FUN
9	Griffins	1	0	1	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	60	64	60	10	18	592	662	600	40	26	6	0	21	3	0	0.00%	0	0	0.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	25.0%	5.6%	88.5%	94.0	Unlucky
10	Rockets	2	0	2	0	0	0	2	6	-4	0	0.000	2	4	6	1	0	60	64	60	10	55	592	662	600	40	60	16	8	33	6	1	16.67%	4	0	100.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	14.3%	3.6%	90.0%	93.6	Unlucky
11	Hershey Bears	2	2	0	0	0	0	8	6	2	4	1.000	8	15	23	0	0	60	64	60	10	62	592	662	600	40	71	18	14	35	4	1	25.00%	7	1	85.71%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	58.3%	12.9%	91.5%	104.5	LUCKY
12	Wild	2	2	0	0	0	0	7	2	5	4	1.000	7	13	20	0	0	60	64	60	10	71	592	662	600	40	44	18	12	40	4	1	25.00%	5	1	80.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	85.7%	9.9%	95.5%	105.3	LUCKY
13	Rampage	2	0	1	0	1	0	6	9	-3	1	0.250	6	11	17	0	0	60	64	60	10	69	592	662	600	40	84	31	23	36	3	0	0.00%	9	3	66.67%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	50.0%	8.7%	89.3%	98.0	Unlucky
14	Devils	1	1	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	60	64	60	10	30	592	662	600	40	18	5	2	17	4	0	0.00%	1	0	100.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	57.1%	13.3%	83.3%	96.7	FUN
15	Admirals	3	2	1	0	0	0	13	10	3	4	0.667	13	23	36	0	0	60	64	60	10	122	592	662	600	40	101	31	8	68	9	1	11.11%	3	1	66.67%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	57.1%	10.7%	90.1%	100.8	FUN
16	Crunch	1	0	1	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	60	64	60	10	32	592	662	600	40	21	11	6	22	1	0	0.00%	3	0	100.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	40.0%	6.3%	85.7%	92.0	Unlucky
17	Condors	1	1	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	60	64	60	10	28	592	662	600	40	27	4	2	16	2	0	0.00%	1	0	100.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	60.0%	10.7%	92.6%	103.3	LUCKY
18	Icecaps	3	2	1	0	0	0	11	6	5	4	0.667	11	20	31	0	1	60	64	60	10	121	592	662	600	40	86	35	22	75	5	0	0.00%	9	2	77.78%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	73.3%	9.1%	93.0%	102.1	LUCKY
19	Roadrunners	3	1	1	1	0	0	7	8	-1	4	0.667	7	13	20	0	0	60	64	60	10	70	592	662	600	40	105	30	18	62	13	0	0.00%	9	2	77.78%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	53.8%	10.0%	92.4%	102.4	LUCKY
20	Bruins	2	0	0	0	2	0	8	10	-2	2	0.500	8	12	20	0	0	60	64	60	10	73	592	662	600	40	77	20	16	39	6	1	16.67%	6	1	83.33%	1	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	43.8%	11.0%	87.0%	98.0	FUN
21	Monsters	2	1	0	1	0	0	7	5	2	4	1.000	7	13	20	0	0	60	64	60	10	70	592	662	600	40	55	18	25	45	2	1	50.00%	5	0	100.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	54.5%	10.0%	90.9%	100.9	FUN
22	IceHogs	3	2	1	0	0	0	8	7	1	4	0.667	8	15	23	0	0	60	64	60	10	57	592	662	600	40	88	19	14	59	12	1	8.33%	6	1	83.33%	1	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	53.8%	14.0%	92.0%	106.1	LUCKY
23	Sound Tigers	2	0	1	0	0	1	4	4	0	2	0.500	4	6	10	0	0	60	64	60	10	52	592	662	600	40	51	18	8	37	6	2	33.33%	3	1	66.67%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	40.0%	7.7%	92.2%	99.8	DULL
24	Rocherster Americans	1	1	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	60	64	60	10	35	592	662	600	40	25	10	4	29	2	1	50.00%	2	0	100.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	60.0%	11.4%	92.0%	103.4	LUCKY
25	Manitoba Moose	1	0	1	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	60	64	60	10	23	592	662	600	40	34	8	6	17	2	1	50.00%	3	1	66.67%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	33.3%	8.7%	91.2%	99.9	DULL
26	Gulls	3	1	0	1	0	1	12	9	3	6	1.000	12	22	34	0	0	60	64	60	10	107	592	662	600	40	90	26	24	58	5	3	60.00%	11	2	81.82%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	56.3%	11.2%	90.0%	101.2	FUN
27	Stars	2	0	2	0	0	0	3	7	-4	0	0.000	3	6	9	0	0	60	64	60	10	61	592	662	600	40	68	19	12	35	3	1	33.33%	6	0	100.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	22.2%	4.9%	89.7%	94.6	Unlucky
28	Marlies	2	2	0	0	0	0	8	5	3	4	1.000	8	12	20	0	0	60	64	60	10	56	592	662	600	40	54	13	10	35	2	1	50.00%	4	2	50.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	70.0%	14.3%	90.7%	105.0	FUN
29	Scranton Penguins	2	2	0	0	0	0	8	3	5	4	1.000	8	16	24	0	0	60	64	60	10	49	592	662	600	40	56	13	10	34	3	0	0.00%	5	1	80.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	80.0%	16.3%	94.6%	111.0	LUCKY
30	Thunderbirds	1	1	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	60	64	60	10	37	592	662	600	40	28	7	10	27	5	1	20.00%	5	0	100.00%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	66.7%	8.1%	96.4%	104.5	DULL
	_Vs Division	18	7	8	2	2	1	54	57	-3	22	0.611	54	97	151	0	0	60	64	60	10	551	592	662	600	40	567	150	88	348	47	9	19.15%	40	9	77.50%	0	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	48.4%	9.8%	89.9%	99.7	FUN
	_Vs Conference	37	17	13	3	3	1	110	109	1	45	0.608	110	201	311	0	1	60	64	60	10	1156	592	662	600	40	1139	338	218	760	90	17	18.89%	90	21	76.67%	1	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	51.4%	9.5%	90.4%	99.9	FUN
	_Since Last GM Reset	61	30	18	5	5	3	192	174	18	81	0.664	192	348	540	1	1	60	64	60	10	1887	592	662	600	40	1852	512	344	1204	149	29	19.46%	148	29	80.41%	2	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	52.9%	10.2%	90.6%	100.8	FUN
	Total	61	30	18	5	5	3	192	174	18	81	0.664	192	348	540	1	1	60	64	60	10	1887	592	662	600	40	1852	512	344	1204	149	29	19.46%	148	29	80.41%	2	1083	2090	51.82%	1103	2088	52.83%	482	961	50.16%	1413	964	1473	464	808	395	52.9%	10.2%	90.6%	100.8	FUN

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	2090
Neutral Zone Start	961
Defensive Zone Start	2088

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	2668
Faceoffs Lost	2471

	Team Average Shots after	League Average Shots after
1st Period	9.7	9.57
2nd Period	20.6	20.31
3rd Period	30.4	30.68
Overtime	31.0	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.0	0.64
2nd Period	2.0	1.65
3rd Period	3.0	2.67
Overtime	3.2	2.83


Even Strenght Goal	160
PP Goal	29
PK Goal	2
Empty Net Goal	1

	Home	Away
Win	22	16
Lost	6	12
Overtime Lost	3	2


PP Attempt	149
PP Goal	29
PK Attempt	148
PK Goal Against	29

	Home
Shots For	30.9
Shots Against	30.4
Goals For	3.1
Goals Against	2.9
Hits	19.7
Shots Blocked	8.4
Pim	5.6

Schedule

Date	Matchup			Result	Detail
2019-10-02	Barracuda	@	Wolves	Barracuda4,Wolves 1	RECAP
2019-10-04	Wolves	@	Barracuda	Wolves 0,Barracuda5	RECAP
2019-10-08	Bruins	@	Wolves	Bruins3,Wolves 2 (OT)	RECAP
2019-10-10	Wolves	@	Roadrunners	Wolves 0,Roadrunners3	RECAP
2019-10-12	Heat	@	Wolves	Heat1,Wolves 3	RECAP
2019-10-13	Wolves	@	Reign	Wolves 3,Reign2	RECAP
2019-10-15	Admirals	@	Wolves	Admirals3,Wolves 5	RECAP
2019-10-17	Senators	@	Wolves	Senators1,Wolves 2 (OT)	RECAP
2019-10-19	Wolves	@	Scranton Penguins	Wolves 4,Scranton Penguins2	RECAP
2019-10-21	Wolves	@	Phantoms	Wolves 5,Phantoms4 (OT)	RECAP
2019-10-22	Wolves	@	IceHogs	Wolves 3,IceHogs2	RECAP
2019-10-25	Rampage	@	Wolves	Rampage4,Wolves 2	RECAP
2019-10-27	Gulls	@	Wolves	Gulls4,Wolves 5	RECAP
2019-10-31	Rockets	@	Wolves	Rockets3,Wolves 1	RECAP
2019-11-02	Manitoba Moose	@	Wolves	Manitoba Moose3,Wolves 2	RECAP
2019-11-05	Wolves	@	Monsters	Wolves 4,Monsters3 (OT)	RECAP
2019-11-07	Wolves	@	Marlies	Wolves 3,Marlies2	RECAP
2019-11-09	Wolves	@	Hershey Bears	Wolves 4,Hershey Bears3	RECAP
2019-11-10	Wolves	@	Griffins	Wolves 1,Griffins3	RECAP
2019-11-13	IceHogs	@	Wolves	IceHogs3,Wolves 0	RECAP
2019-11-16	Wolves	@	Reign	Wolves 2,Reign4	RECAP
2019-11-17	Heat	@	Wolves	Heat1,Wolves 2	RECAP
2019-11-19	Marlies	@	Wolves	Marlies3,Wolves 5	RECAP
2019-11-21	Barracuda	@	Wolves	Barracuda5,Wolves 2	RECAP
2019-11-23	Condors	@	Wolves	Condors2,Wolves 3	RECAP
2019-11-25	Wolves	@	Stars	Wolves 1,Stars4	RECAP
2019-11-27	Wolves	@	Admirals	Wolves 3,Admirals5	RECAP
2019-11-29	Roadrunners	@	Wolves	Roadrunners2,Wolves 3	RECAP
2019-12-02	Wolves	@	Wolf Pack	Wolves 1,Wolf Pack4	RECAP
2019-12-03	Wolves	@	Devils	Wolves 4,Devils3	RECAP
2019-12-05	Wolves	@	Sound Tigers	Wolves 1,Sound Tigers2	RECAP
2019-12-08	Wolf Pack	@	Wolves	Wolf Pack3,Wolves 4	RECAP
2019-12-10	IceHogs	@	Wolves	IceHogs2,Wolves 5	RECAP
2019-12-12	Wolves	@	Icecaps	Wolves 1,Icecaps4	RECAP
2019-12-13	Wolves	@	Stars	Wolves 2,Stars3	RECAP
2019-12-15	Comets	@	Wolves	Comets4,Wolves 5 (SO)	RECAP
2019-12-17	Wild	@	Wolves	Wild1,Wolves 2	RECAP
2019-12-19	Wolves	@	Comets	Wolves 6,Comets4	RECAP
2019-12-22	Wolves	@	Barracuda	Wolves 5,Barracuda6 (OT)	RECAP
2019-12-23	Rampage	@	Wolves	Rampage5,Wolves 4 (OT)	RECAP
2019-12-27	Wolves	@	Gulls	Wolves 3,Gulls2 (SO)	RECAP
2019-12-28	Roadrunners	@	Wolves	Roadrunners3,Wolves 4 (OT)	RECAP
2019-12-31	Gulls	@	Wolves	Gulls3,Wolves 4 (OT)	RECAP
2020-01-02	Phantoms	@	Wolves	Phantoms1,Wolves 3	RECAP
2020-01-04	Icecaps	@	Wolves	Icecaps0,Wolves 6	RECAP
2020-01-07	Scranton Penguins	@	Wolves	Scranton Penguins1,Wolves 4	RECAP
2020-01-09	Reign	@	Wolves	Reign2,Wolves 3	RECAP
2020-01-11	Monsters	@	Wolves	Monsters2,Wolves 3	RECAP
2020-01-14	Wolves	@	Rocherster Americans	Wolves 4,Rocherster Americans2	RECAP
2020-01-16	Wolves	@	Senators	Wolves 5,Senators1	RECAP
2020-01-18	Wolves	@	Rockets	Wolves 1,Rockets3	RECAP
2020-01-21	Wolves	@	Bruins	Wolves 6,Bruins7 (OT)	RECAP
2020-01-31	Wolves	@	Checkers	Wolves 5,Checkers3	RECAP
2020-02-01	Wolves	@	Admirals	Wolves 5,Admirals2	RECAP
2020-02-04	Wolves	@	Crunch	Wolves 2,Crunch3	RECAP
2020-02-06	Wolves	@	Thunderbirds	Wolves 3,Thunderbirds1	RECAP
2020-02-08	Checkers	@	Wolves	Checkers5,Wolves 4 (OT)	RECAP
2020-02-11	Wolves	@	Wild	Wolves 5,Wild1	RECAP
2020-02-13	Icecaps	@	Wolves	Icecaps2,Wolves 4	RECAP
2020-02-15	Sound Tigers	@	Wolves	Sound Tigers2,Wolves 3 (SO)	RECAP
2020-02-17	Hershey Bears	@	Wolves	Hershey Bears3,Wolves 4	RECAP
2020-02-20	Crunch	@	Wolves
2020-02-22	Thunderbirds	@	Wolves
2020-02-23	Wolves	@	Gulls
2020-02-26	Condors	@	Wolves
2020-02-28	Rocherster Americans	@	Wolves
2020-03-01	Reign	@	Wolves
2020-03-03	Devils	@	Wolves
2020-03-06	Wolves	@	Manitoba Moose
2020-03-08	Wolves	@	Heat
2020-03-09	Wolves	@	Condors
2020-03-12	Wolves	@	Wild
2020-03-15	Wolves	@	Rampage
2020-03-17	Stars	@	Wolves
2020-03-18	Wolves	@	Roadrunners
2020-03-21	Griffins	@	Wolves
2020-03-23	Comets	@	Wolves
2020-03-25	Roadrunners	@	Wolves
2020-03-29	Wolves	@	Manitoba Moose
2020-03-31	Wolves	@	Condors
2020-04-02	Wolves	@	Heat
2020-04-04	Wolves	@	Comets

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
23,312,317$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Chicago
	Capacity	3000
	Season Ticket Holders	0%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
10	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
23,312,317$	22,309,659$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
0$	0$	0$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	47	128,158$	6,023,426$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
6,023,426$	0$	0$	0$

Sponsors
TV Rights	Primary Sponsor	Secondary Sponsor	Secondary Sponsor

Depth Chart

Rookie

Injured

Cold Streak

Hot Streak

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Transactions

Injuries

Mike Condon is out for 1 days because of a Exhaustion.

Game Center

Sound Tigers30-21-7, 67pts

23Final

Wolves 38-18-5, 81pts

Hershey Bears34-19-6, 74pts

34Final

Wolves 38-18-5, 81pts

Hershey Bears34-19-6, 74pts

Tue, Feb 18

Wolves 38-18-5, 81pts

Sat, Oct 05

Barracuda34-19-6, 74pts

Bruins35-19-6, 76pts

Wed, Oct 09

Wolves 38-18-5, 81pts

TRANSACTIONS

Team Info


	Head Coach	Todd Richards
	Division	Pacific Division
	City	Chicago
	Stadium Capacity	3,000

Wolves Affiliation


	General Manager	Yanick Franche
	Head Coach	Clark Donatelli
	Stadium	T-Mobile
	Capacity	18,000

Team Leaders

GOALS Frederick Gaudreau Wolves	25 GOALS
POINTS Frederick Gaudreau Wolves	54 POINTS
WINS Charlie Lindgren Wolves	21 WINS
Expanded Player Leaderboard

Team Stats

Goals For 192 3.15 GFG	Goals Against 174 2.85 GAA
Power Play Percentage 19.5% 29 GF	Penalty Kill Percentage 80.4% 29 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain	Alternate Captain	Alternate Captain
Jamie McGinn