Couch Coach Hockey League - Today's Games Farm

Roster

Player	#	POS	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Calle Jarnkrok	91	C/LW/RW	99.00	57	41	95	80	72	68	89	76	44	77	76	65	69	94	96	30	58	72	32	700,003$/2yrs
Martin Frk	0	RW	99.00	57	30	90	79	78	66	78	84	25	72	68	78	68	99	99	49	80	72	30	700,000$/1yrs
Mason Mitchell	41	C/LW	100.00	94	93	53	75	81	77	73	83	68	71	75	66	65	93	96	51	81	72	30	700,000$/1yrs
Michael Dal Colle	28	LW/RW	100.00	88	80	60	77	80	78	73	81	25	76	71	71	69	90	93	62	81	72	28	700,005$/6yrs
Lucas Edmonds (R)	0	LW/RW	100.00	48	42	94	86	69	88	95	83	72	80	73	68	69	63	63	75	78	72	23	925,000$/1yrs
Jake Neighbours	0	LW/RW	99.00	55	52	82	89	76	65	59	82	77	82	71	72	66	58	58	82	74	70	22	1,200,000$/5yrs
Nathan Smith	0	C	100.00	78	51	91	84	67	78	78	76	25	63	54	75	25	64	64	74	34	66	25	925,000$/1yrs
Elmer Soderblom (R)	0	C/LW	99.00	75	46	88	70	93	62	64	70	32	62	75	70	25	60	60	80	65	65	23	925,000$/3yrs
Jonatan Berggren (R)	0	LW/RW	100.00	61	41	91	69	65	65	89	73	44	65	73	68	25	64	64	75	81	65	24	925,000$/3yrs
Reid Schaefer (R)	0	LW	100.00	67	64	62	78	77	75	95	62	54	48	64	74	67	55	55	89	57	64	20	925,000$/2yrs
Philippe Maillet	0	C	100.00	69	68	67	63	64	62	62	74	84	75	70	59	62	62	62	22	81	64	31	800,000$/3yrs
Landon Slaggert (R)	0	C/LW	100.00	55	51	78	77	72	63	80	53	60	50	46	65	48	51	51	87	39	57	22	925,000$/1yrs
Brad Hunt	77	D	100.00	76	42	79	78	64	76	76	74	25	68	60	76	58	99	99	6	79	72	36	700,000$/1yrs
Brian Strait	0	D	100.00	82	69	69	71	80	73	75	75	25	61	56	78	57	99	99	1	77	72	36	700,000$/1yrs
Colby Sissons	0	D	100.00	78	55	73	82	75	69	75	82	25	72	67	70	58	89	91	67	66	72	26	700,000$/2yrs
Alex Grant	13	D	100.00	67	38	82	67	82	66	72	81	25	79	72	76	64	99	99	6	81	72	35	700,000$/1yrs
Oscar Fantenberg	3	D	100.00	57	36	91	70	78	71	72	78	25	75	66	80	59	99	99	32	81	72	32	700,000$/1yrs
Jeremy Roy	0	D	100.00	93	84	55	81	70	70	70	79	25	72	66	69	58	96	91	67	81	72	27	700,000$/1yrs
Scratches
Pavel Novak (R)	0	RW	98.00	44	37	94	85	61	79	95	73	60	66	68	61	66	52	52	88	77	66	22	925,000$/1yrs
Colby Ambrosio (R)	0	C	100.00	43	35	94	79	59	61	78	52	58	50	44	56	46	60	60	78	19	55	22	925,000$/2yrs
Mason Primeau (R)	0	C	100.00	62	72	45	66	82	52	53	52	65	55	44	58	42	50	50	82	20	54	23	750,000$/3yrs
Cavan Fitzgerald	20	D	100.00	54	34	95	73	75	68	72	77	25	71	67	72	61	96	97	59	19	70	28	700,000$/1yrs
Nolan Valleau	0	D	100.00	63	28	83	64	66	70	68	76	25	63	62	71	58	99	99	34	20	68	31	700,000$/1yrs
Josh Wesley	0	D	100.00	56	37	93	70	78	70	75	67	25	56	53	70	58	95	96	59	20	67	28	1,000,000$/6yrs
Jacob Bernard-Docker (R)	0	D	100.00	64	42	86	79	72	65	78	66	25	55	52	73	25	63	61	77	20	66	24	925,000$/2yrs
Zac Jones (R)	0	D	100.00	59	40	99	74	64	66	78	64	25	52	47	76	75	65	64	75	20	64	23	925,000$/2yrs

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	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	AGE	CONTRACT
Kirill Ustimenko	0	100.00	75	94	79	73	76	89	90	90	90	70	69	76	76	70	63	80	25	850,000$/4yrs
Alex Stalock	0	100.00	75	77	74	63	71	82	83	85	84	78	81	99	99	1	82	78	37	900,000$/1yrs
Scratches

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	PPG	PPA	PPP	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS
1	Lucas Edmonds	Penguins (PIT)	LW/RW	76	29	38	67	6	0	0	15	250	46	166	11.60%	9	20.08	7	9	16	150	1	0	1	124	2	1	55.93%	649	3	1	0.88	0	0
2	Oscar Fantenberg	Penguins (PIT)	D	77	8	46	54	8	8	0	45	121	45	73	6.61%	123	22.09	5	9	14	156	0	3	3	202	3	0	0.00%	0	0	0	0.64	0	0
3	Colby Sissons	Penguins (PIT)	D	77	11	40	51	22	64	0	109	113	38	70	9.73%	87	21.04	6	9	15	168	0	2	2	200	2	1	0.00%	0	0	0	0.63	0	0
4	Jake Neighbours	Penguins (PIT)	LW/RW	75	24	24	48	5	12	0	60	177	67	130	13.56%	15	16.13	2	6	8	84	1	0	1	54	1	2	57.58%	198	1	0	0.79	0	1
5	Alex Grant	Penguins (PIT)	D	77	11	37	48	2	42	0	138	129	43	92	8.53%	103	22.56	4	7	11	160	0	1	1	190	3	0	0.00%	0	0	0	0.55	0	0
6	Michael Dal Colle	Penguins (PIT)	LW/RW	77	19	28	47	5	55	5	180	223	65	146	8.52%	13	17.01	7	8	15	176	0	0	0	72	2	1	34.55%	191	0	0	0.72	0	0
7	Brad Hunt	Penguins (PIT)	D	73	12	32	44	2	8	0	35	92	26	71	13.04%	100	21.02	4	12	16	167	0	1	1	229	3	2	0.00%	0	0	0	0.57	0	0
8	Mason Mitchell	Penguins (PIT)	C/LW	76	18	23	41	14	115	25	210	187	31	105	9.63%	6	15.59	3	3	6	135	1	0	1	65	4	0	55.17%	1102	0	0	0.69	2	2
9	Martin Frk	Penguins (PIT)	RW	74	24	16	40	5	0	0	23	219	70	157	10.96%	20	18.52	2	4	6	97	1	0	1	189	4	2	33.77%	302	0	0	0.58	0	0
10	Brian Strait	Penguins (PIT)	D	74	6	33	39	18	73	5	153	59	25	44	10.17%	86	18.08	0	1	1	36	0	0	0	72	2	0	0.00%	0	0	0	0.58	0	0
11	Jeremy Roy	Penguins (PIT)	D	77	8	25	33	6	97	5	271	62	23	33	12.90%	48	15.29	1	0	1	3	0	0	0	13	2	0	0.00%	0	0	0	0.56	0	0
12	Calle Jarnkrok	Penguins (PIT)	C/LW/RW	55	16	15	31	2	4	0	17	140	32	108	11.43%	8	16.61	3	6	9	85	0	0	0	27	6	2	45.11%	736	0	0	0.68	0	2
13	Elmer Soderblom	Penguins (PIT)	C/LW	75	13	15	28	19	38	0	103	125	29	115	10.40%	13	14.80	0	1	1	23	0	1	1	88	3	0	35.28%	530	0	0	0.50	0	0
14	Pavel Novak	Penguins (PIT)	RW	75	12	15	27	12	0	0	3	143	34	97	8.39%	13	14.50	2	0	2	55	0	0	0	99	1	0	43.30%	194	0	0	0.50	0	3
15	Reid Schaefer	Penguins (PIT)	LW	54	9	13	22	6	10	0	59	64	18	45	14.06%	5	11.42	2	5	7	69	0	0	0	22	2	0	38.46%	78	0	0	0.71	0	0
16	Jonatan Berggren	Penguins (PIT)	LW/RW	77	11	8	19	-4	4	0	16	84	26	68	13.10%	12	9.83	1	2	3	11	0	0	0	16	0	1	41.77%	158	0	0	0.50	0	0
17	Philippe Maillet	Penguins (PIT)	C	77	3	6	9	-7	26	0	61	62	16	45	4.84%	1	7.43	0	0	0	8	0	0	0	2	0	0	54.22%	675	0	0	0.31	0	0
18	Nathan Smith	Penguins (PIT)	C	30	2	3	5	-7	10	0	57	67	17	41	2.99%	4	15.82	0	1	1	30	0	0	0	3	1	0	30.32%	155	0	0	0.21	0	3
19	Cavan Fitzgerald	Penguins (PIT)	D	7	0	2	2	-1	0	0	1	7	1	6	0.00%	9	18.95	0	0	0	8	0	0	0	8	0	0	0.00%	0	0	0	0.30	0	0
20	Landon Slaggert	Penguins (PIT)	C/LW	43	0	1	1	1	4	0	12	2	0	1	0.00%	2	3.44	0	0	0	0	0	0	0	0	0	0	43.59%	39	0	0	0.14	0	0
21	Colby Ambrosio	Penguins (PIT)	C	5	0	0	0	0	0	0	0	0	0	0	0.00%	0	2.59	0	0	0	0	0	0	0	2	0	0	30.00%	10	0	0	0.00	0	0
22	Nolan Valleau	Penguins (PIT)	D	3	0	0	0	-1	0	0	1	1	1	1	0.00%	3	15.33	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0.00	0	0
Team Total or Average				1334	236	420	656	113	570	40	1569	2327	653	1614	10.14%	680	16.18	49	83	132	1631	4	8	12	1687	41	12	47.54%	5017	4	1	0.61	2	11

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	GS	W	L	OTL	PCT	GAA	GSAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Kirill Ustimenko	Penguins (PIT)	73	73	45	21	5	0.913	2.77	-4.9	4188	2	5	193	2213	0	4	1	1.000	8	73	4	11	6	2
2	Alex Stalock	Penguins (PIT)	11	4	1	4	1	0.929	2.37	3.5	456	2	0	18	253	0	0	0	0.667	3	4	73	0	0	1
Team Total or Average		84	46	25	6	0.914	2.73	4644	4	5	211	2466	0	4	1	0.909	11	77	77	11	6	3

Salary

Player Name	POS	Age	2017-18	2018-19	2019-20	2020-21	2021-22	2022-23
Alex Grant	D	35	$700,000
Alex Stalock	G	37	$900,000
Brad Hunt	D	36	$700,000
Brian Strait	D	36	$700,000
Calle Jarnkrok	C/LW/RW	32	$700,003	$700,003
Cavan Fitzgerald	D	28	$700,000
Colby Ambrosio	C	22	$925,000	$925,000
Colby Sissons	D	26	$700,000	$700,000
Elmer Soderblom	C/LW	23	$925,000	$925,000	$925,000
Jacob Bernard-Docker	D	24	$925,000	$805,000
Jake Neighbours	LW/RW	22	$1,200,000	$1,200,000	$1,200,000	$1,200,000	$1,200,000
Jeremy Roy	D	27	$700,000
Jonatan Berggren	LW/RW	24	$925,000	$925,000	$925,000
Josh Wesley	D	28	$1,000,000	$1,000,000	$1,000,000	$1,000,000	$1,000,000	$1,000,000
Kirill Ustimenko	G	25	$850,000	$850,000	$850,000	$850,000
Landon Slaggert	C/LW	22	$925,000
Lucas Edmonds	LW/RW	23	$925,000
Martin Frk	RW	30	$700,000
Mason Mitchell	C/LW	30	$700,000
Mason Primeau	C	23	$750,000	$750,000	$750,000
Michael Dal Colle	LW/RW	28	$700,005	$700,005	$700,005	$700,005	$700,005	$700,005
Nathan Smith	C	25	$925,000
Nolan Valleau	D	31	$700,000
Oscar Fantenberg	D	32	$700,000
Pavel Novak	RW	22	$925,000
Philippe Maillet	C	31	$800,000	$800,000	$800,000
Reid Schaefer	LW	20	$925,000	$925,000
Zac Jones	D	23	$925,000	$812,500

Lines

Forward Lines
#0 - Jake Neighbours	#41 - Mason Mitchell	#0 - Lucas Edmonds
#0 - Reid Schaefer	#0 - Elmer Soderblom	#0 - Martin Frk
#91 - Calle Jarnkrok	#0 - Nathan Smith	#28 - Michael Dal Colle
#0 - Landon Slaggert	#0 - Philippe Maillet	#0 - Jonatan Berggren

Defensive Pairings
#13 - Alex Grant	#3 - Oscar Fantenberg
#0 - Colby Sissons	#0 - Brian Strait
#77 - Brad Hunt	#0 - Jeremy Roy

1st Power Play Unit
#0 - Lucas Edmonds		#0 - Nathan Smith		#0 - Jake Neighbours
#13 - Alex Grant			#77 - Brad Hunt

2nd Power Play Unit
#0 - Reid Schaefer		#0 - Elmer Soderblom		#28 - Michael Dal Colle
#0 - Colby Sissons			#3 - Oscar Fantenberg

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	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	GF%	SH%	SV%	PDO	PDOBRK
1	Wranglers	1	0	1	0	0	0	0	5	6	-1	0	0.000	5	9	14	0	0	84	86	75	4	45	766	884	793	33	40	11	17	16	3	2	66.67%	2	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	33.3%	11.1%	85.0%	96.1	FUN
2	Phantoms	6	4	2	0	0	0	0	22	13	9	8	0.667	22	40	62	0	0	84	86	75	4	200	766	884	793	33	198	52	40	113	19	5	26.32%	19	4	78.95%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	65.4%	11.0%	93.4%	104.4	LUCKY
3	Comets	6	2	2	1	1	0	0	14	16	-2	7	0.583	14	23	37	1	1	84	86	75	4	166	766	884	793	33	219	69	60	155	5	3	60.00%	29	4	86.21%	1	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	47.8%	8.4%	92.7%	101.1	DULL
4	Senators	2	1	1	0	0	0	0	3	5	-2	2	0.500	3	6	9	0	0	84	86	75	4	57	766	884	793	33	75	17	10	51	6	0	0.00%	5	1	80.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	42.9%	5.3%	93.3%	98.6	DULL
5	Islanders	5	3	2	0	0	0	0	15	13	2	6	0.600	15	27	42	0	1	84	86	75	4	150	766	884	793	33	142	43	40	101	19	4	21.05%	14	1	92.86%	1	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	47.8%	10.0%	90.8%	100.8	FUN
6	Checkers	6	1	2	0	1	1	1	23	22	1	6	0.500	23	38	61	0	0	84	86	75	4	236	766	884	793	33	168	45	26	137	21	3	14.29%	12	1	91.67%	2	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	48.8%	9.7%	86.9%	96.7	FUN
7	Canucks	1	0	1	0	0	0	0	1	6	-5	0	0.000	1	2	3	0	0	84	86	75	4	27	766	884	793	33	37	16	6	24	1	0	0.00%	3	1	66.67%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	16.7%	3.7%	83.8%	87.5	Unlucky
8	Wolf Pack	4	4	0	0	0	0	0	16	8	8	8	1.000	16	30	46	0	0	84	86	75	4	139	766	884	793	33	131	31	12	84	12	3	25.00%	6	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	61.9%	11.5%	93.9%	105.4	LUCKY
9	Griffins	2	2	0	0	0	0	0	8	3	5	4	1.000	8	16	24	0	0	84	86	75	4	73	766	884	793	33	55	12	6	38	3	2	66.67%	2	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	66.7%	11.0%	94.5%	105.5	LUCKY
10	Rocket	2	0	2	0	0	0	0	6	8	-2	0	0.000	6	12	18	0	0	84	86	75	4	43	766	884	793	33	60	19	12	36	2	1	50.00%	6	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	38.5%	14.0%	86.7%	100.6	FUN
11	Bears	4	2	2	0	0	0	0	15	15	0	4	0.500	15	27	42	0	0	84	86	75	4	131	766	884	793	33	138	48	36	71	12	2	16.67%	18	4	77.78%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	54.2%	11.5%	89.1%	100.6	FUN
12	Wild	1	1	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	84	86	75	4	27	766	884	793	33	28	8	4	16	5	0	0.00%	2	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	75.0%	11.1%	96.4%	107.5	LUCKY
13	Eagles	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	1	2	0	0	84	86	75	4	26	766	884	793	33	40	9	6	25	1	0	0.00%	3	1	66.67%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	33.3%	3.8%	92.5%	96.3	DULL
14	Reign	1	1	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	84	86	75	4	38	766	884	793	33	28	5	4	25	3	1	33.33%	2	1	50.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	75.0%	10.5%	92.9%	103.4	LUCKY
15	Admirals	1	1	0	0	0	0	0	6	2	4	2	1.000	6	11	17	0	0	84	86	75	4	29	766	884	793	33	36	8	10	27	1	0	0.00%	5	1	80.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	85.7%	20.7%	94.4%	115.1	LUCKY
16	Crunch	2	1	0	0	1	0	0	5	5	0	3	0.750	5	7	12	0	0	84	86	75	4	71	766	884	793	33	71	25	22	39	4	2	50.00%	10	1	90.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	42.9%	7.0%	93.0%	100.0	DULL
17	Condors	1	1	0	0	0	0	0	5	1	4	2	1.000	5	10	15	0	0	84	86	75	4	26	766	884	793	33	34	10	10	19	2	0	0.00%	5	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	83.3%	19.2%	97.1%	116.3	LUCKY
18	Thunderbirds	2	0	1	0	1	0	0	6	8	-2	1	0.250	6	12	18	0	0	84	86	75	4	57	766	884	793	33	66	21	14	41	2	0	0.00%	7	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	42.9%	10.5%	87.9%	98.4	FUN
19	Grizzlies	1	1	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	84	86	75	4	42	766	884	793	33	26	6	8	18	3	0	0.00%	3	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	75.0%	7.1%	96.2%	103.3	DULL
20	Bruins	3	1	1	0	0	1	0	9	8	1	4	0.667	9	14	23	0	1	84	86	75	4	106	766	884	793	33	97	30	29	70	13	3	23.08%	11	2	81.82%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	50.0%	8.5%	91.8%	100.2	DULL
21	Americans	2	1	0	1	0	0	0	9	7	2	4	1.000	9	17	26	0	0	84	86	75	4	68	766	884	793	33	69	22	16	40	7	3	42.86%	8	3	62.50%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	60.0%	13.2%	89.9%	103.1	FUN
22	IceHogs	2	1	1	0	0	0	0	5	5	0	2	0.500	5	8	13	0	0	84	86	75	4	53	766	884	793	33	51	11	16	35	5	1	20.00%	8	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	44.4%	9.4%	90.2%	99.6	FUN
23	Citadelles	2	0	2	0	0	0	0	2	9	-7	0	0.000	2	4	6	0	0	84	86	75	4	55	766	884	793	33	74	18	14	35	4	0	0.00%	6	1	83.33%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	20.0%	3.6%	87.8%	91.5	Unlucky
24	Monsters	6	5	1	0	0	0	0	22	13	9	10	0.833	22	42	64	0	0	84	86	75	4	187	766	884	793	33	202	57	53	117	20	4	20.00%	19	5	73.68%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	69.2%	11.8%	93.6%	105.3	LUCKY
25	Moose	1	1	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	84	86	75	4	39	766	884	793	33	41	9	14	22	5	1	20.00%	7	1	85.71%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	100.0%	7.7%	97.6%	105.3	DULL
26	Gulls	2	2	0	0	0	0	0	8	5	3	4	1.000	8	14	22	0	0	84	86	75	4	55	766	884	793	33	45	16	17	31	7	2	28.57%	6	1	83.33%	1	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	60.0%	14.5%	88.9%	103.4	FUN
27	Stars	1	0	1	0	0	0	0	3	7	-4	0	0.000	3	6	9	0	0	84	86	75	4	37	766	884	793	33	33	12	18	27	3	2	66.67%	9	2	77.78%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	16.7%	8.1%	78.8%	86.9	Unlucky
28	Marlies	2	1	1	0	0	0	0	8	6	2	2	0.500	8	14	22	0	0	84	86	75	4	70	766	884	793	33	43	11	8	44	5	1	20.00%	3	1	66.67%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	58.3%	11.4%	86.0%	97.5	FUN
29	Barracuda	2	2	0	0	0	0	0	5	3	2	4	1.000	5	10	15	0	0	84	86	75	4	51	766	884	793	33	59	16	8	40	4	2	50.00%	3	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	50.0%	9.8%	94.9%	104.7	LUCKY
30	Firebirds	1	1	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	84	86	75	4	38	766	884	793	33	21	5	8	23	2	0	0.00%	4	0	100.00%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	60.0%	7.9%	90.5%	98.4	Unlucky
31	Silver Knights	4	2	1	0	1	0	0	11	9	2	5	0.625	11	22	33	0	2	84	86	75	4	123	766	884	793	33	140	37	38	76	8	1	12.50%	19	3	84.21%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	62.5%	8.9%	93.6%	102.5	Unlucky
	_Vs Division	17	16	10	0	1	1	0	50	51	-1	35	1.029	50	90	140	0	1	84	86	75	4	543	766	884	793	33	544	154	117	353	44	12	27.27%	51	9	82.35%	0	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	47.5%	9.2%	90.6%	99.8	FUN
	_Vs Conference	51	23	19	2	4	2	1	159	150	9	59	0.578	159	283	442	1	5	84	86	75	4	1642	766	884	793	33	1662	483	369	1076	138	31	22.46%	169	27	84.02%	4	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	51.0%	9.7%	91.0%	100.7	FUN
	_Since Last GM Reset	77	42	25	2	5	2	1	249	213	36	98	0.636	249	450	699	1	5	84	86	75	4	2465	766	884	793	33	2467	699	582	1596	207	48	23.19%	256	39	84.77%	5	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	53.6%	10.1%	91.4%	101.5	LUCKY
	Total	77	42	25	2	5	2	1	249	213	36	98	0.636	249	450	699	1	5	84	86	75	4	2465	766	884	793	33	2467	699	582	1596	207	48	23.19%	256	39	84.77%	5	1301	2665	48.82%	1336	2772	48.20%	620	1190	52.10%	1823	1255	1836	554	990	499	53.6%	10.1%	91.4%	101.5	LUCKY

	Puck Time
Offensive Zone	23
Neutral Zone	12
Defensive Zone	23

	Puck Time
Offensive Zone Start	2665
Neutral Zone Start	1190
Defensive Zone Start	2772

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	3257
Faceoffs Lost	3370

	Team Average Shots after	League Average Shots after
1st Period	9.9	9.57
2nd Period	21.4	20.31
3rd Period	31.7	30.68
Overtime	32.2	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.1	0.64
2nd Period	2.2	1.65
3rd Period	3.2	2.67
Overtime	3.2	2.83


Even Strenght Goal	195
PP Goal	48
PK Goal	5
Empty Net Goal	1

	Home	Away
Win	27	19
Lost	10	15
Overtime Lost	2	4


PP Attempt	207
PP Goal	48
PK Attempt	256
PK Goal Against	39

	Home
Shots For	32.0
Shots Against	32.0
Goals For	3.2
Goals Against	2.8
Hits	20.7
Shots Blocked	9.1
Pim	7.6

Schedule

Date	Matchup			Result	Detail
Sun, Jun 23	BRP	@	WBS	BRP0,WBS5	RECAP
Wed, Jun 26	UTI	@	WBS	UTI0,WBS3	RECAP
Fri, Jun 28	WBS	@	CHA	WBS3,CHA4 (OT)	RECAP
Sun, Jun 30	WBS	@	HFD	WBS5,HFD3	RECAP
Mon, Jul 1	WBS	@	CLE	WBS4,CLE3	RECAP
Thu, Jul 4	CLE	@	WBS	CLE2,WBS3	RECAP
Sat, Jul 6	CHA	@	WBS	CHA1,WBS5	RECAP
Tue, Jul 9	WBS	@	UTI	WBS3,UTI4 (OT)	RECAP
Thu, Jul 11	LVP	@	WBS	LVP2,WBS9	RECAP
Sat, Jul 13	HFD	@	WBS	HFD1,WBS4	RECAP
Mon, Jul 15	WBS	@	HER	WBS5,HER3	RECAP
Tue, Jul 16	WBS	@	BRP	WBS1,BRP5	RECAP
Fri, Jul 19	HER	@	WBS	HER4,WBS1	RECAP
Sat, Jul 20	WBS	@	LVP	WBS1,LVP2	RECAP
Mon, Jul 22	SJB	@	WBS	SJB2,WBS3	RECAP
Tue, Jul 23	WBS	@	HFD	WBS3,HFD1	RECAP
Fri, Jul 26	WBS	@	HEN	WBS2,HEN3 (OT)	RECAP
Sat, Jul 27	LVP	@	WBS	LVP1,WBS3	RECAP
Mon, Jul 29	WBS	@	PRO	WBS2,PRO4	RECAP
Wed, Jul 31	UTI	@	WBS	UTI1,WBS2	RECAP
Sat, Aug 3	LVP	@	WBS	LVP2,WBS4	RECAP
Mon, Aug 5	WBS	@	RCK	WBS4,RCK2	RECAP
Tue, Aug 6	TOR	@	WBS	TOR3,WBS2	RECAP
Fri, Aug 9	WBS	@	RCK	WBS1,RCK3	RECAP
Sat, Aug 10	IOW	@	WBS	IOW1,WBS3	RECAP
Mon, Aug 12	GRP	@	WBS	GRP2,WBS4	RECAP
Wed, Aug 14	WBS	@	SDG	WBS4,SDG3	RECAP
Sat, Aug 17	SJB	@	WBS	SJB1,WBS2	RECAP
Sun, Aug 18	WBS	@	RCH	WBS5,RCH4 (OT)	RECAP
Tue, Aug 20	WBS	@	LAV	WBS4,LAV5	RECAP
Thu, Aug 22	BAK	@	WBS	BAK1,WBS5	RECAP
Fri, Aug 23	WBS	@	CLE	WBS7,CLE2	RECAP
Mon, Aug 26	RCH	@	WBS	RCH3,WBS4	RECAP
Tue, Aug 27	WBS	@	LVP	WBS0,LVP4	RECAP
Fri, Aug 30	BRP	@	WBS	BRP2,WBS3	RECAP
Sun, Sep 1	TEX	@	WBS	TEX7,WBS3	RECAP
Mon, Sep 2	WBS	@	SDG	WBS4,SDG2	RECAP
Wed, Sep 4	SYR	@	WBS	SYR2,WBS3	RECAP
Fri, Sep 6	WBS	@	TOR	WBS6,TOR3	RECAP
Sun, Sep 8	WBS	@	LVP	WBS5,LVP2	RECAP
Tue, Sep 10	HEN	@	WBS	HEN0,WBS3	RECAP
Thu, Sep 12	WBS	@	MAN	WBS3,MAN1	RECAP
Fri, Sep 13	WBS	@	CLE	WBS1,CLE3	RECAP
Sun, Sep 15	CVF	@	WBS	CVF2,WBS3	RECAP
Wed, Sep 18	BRP	@	WBS	BRP2,WBS3	RECAP
Fri, Sep 20	WBS	@	SYR	WBS2,SYR3 (OT)	RECAP
Sat, Sep 21	WBS	@	SPR	WBS3,SPR4	RECAP
Mon, Sep 23	UTI	@	WBS	UTI5,WBS3	RECAP
Wed, Sep 25	WBS	@	QUE	WBS2,QUE5	RECAP
Fri, Sep 27	SPR	@	WBS	SPR4,WBS3 (OT)	RECAP
Sun, Sep 29	LAV	@	WBS	LAV3,WBS2	RECAP
Wed, Oct 2	WBS	@	CGY	WBS5,CGY6	RECAP
Thu, Oct 3	CLE	@	WBS	CLE1,WBS3	RECAP
Sun, Oct 6	WBS	@	HFD	WBS4,HFD3	RECAP
Mon, Oct 7	WBS	@	UTA	WBS3,UTA1	RECAP
Tue, Oct 8	QUE	@	WBS	QUE4,WBS0	RECAP
Fri, Oct 11	HER	@	WBS	HER3,WBS6	RECAP
Sun, Oct 13	HER	@	WBS	HER5,WBS3	RECAP
Mon, Oct 14	WBS	@	UTI	WBS0,UTI4	RECAP
Thu, Oct 17	WBS	@	BRP	WBS3,BRP4	RECAP
Fri, Oct 18	WBS	@	CHA	WBS4,CHA3 (SO)	RECAP
Sun, Oct 20	ONT	@	WBS	ONT2,WBS4	RECAP
Tue, Oct 22	BEL	@	WBS	BEL4,WBS0	RECAP
Fri, Oct 25	COL	@	WBS	COL3,WBS1	RECAP
Sun, Oct 27	WBS	@	GRP	WBS4,GRP1	RECAP
Mon, Oct 28	WBS	@	MIL	WBS6,MIL2	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Wed, Oct 30	CLE	@	WBS	CLE2,WBS4	RECAP
Fri, Nov 1	WBS	@	UTI	WBS3,UTI2 (OT)	RECAP
Sun, Nov 3	PRO	@	WBS	PRO4,WBS5 (SO)	RECAP
Wed, Nov 6	CHA	@	WBS	CHA3,WBS2	RECAP
Thu, Nov 7	WBS	@	ABB	WBS1,ABB6	RECAP
Sat, Nov 9	CHA	@	WBS	CHA5,WBS4 (SO)	RECAP
Sun, Nov 10	WBS	@	BEL	WBS3,BEL1	RECAP
Wed, Nov 13	WBS	@	HEN	WBS4,HEN6	RECAP
Thu, Nov 14	WBS	@	CHA	WBS5,CHA6	RECAP
Sat, Nov 16	HEN	@	WBS	HEN0,WBS2	RECAP
Tue, Nov 19	PRO	@	WBS	PRO0,WBS2	RECAP
Fri, Nov 22	HFD	@	WBS
Sun, Nov 24	WBS	@	HER
Wed, Nov 27	HFD	@	WBS
Thu, Nov 28	WBS	@	HER
Fri, Nov 29	WBS	@	BRP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
$2,315,000	$0	$0	$75,000,000

Arena	About us
	Name	PPG Paints Arena
	City	Wilkes-Barre
	Capacity	9000
	Season Ticket Holders	30%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	6000	3000
Ticket Price	$25	$12	$	$	$
Attendance	184412	94106
Attendance PCT	78.81%	80.43%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
2	7141 - 79.35%	$176,602	$6,887,483	9000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
$2,315,000	$2,315,000	$0	$0

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
$2,040,469	$0	$2,040,469	$0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
$353,204	12	$14,290	$171,480

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
$171,480	$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

No Injury or Suspension.

Game Center

Silver Knights31-41-5, 67pts

02Final

Penguins46-25-6, 98pts

Bruins35-35-8, 78pts

02Final

Penguins46-25-6, 98pts

Bruins35-35-8, 78pts

Wed, Nov 20

Penguins46-25-6, 98pts

Comets50-16-11, 111pts

Thu, Jun 27

Penguins46-25-6, 98pts

Sat, Jun 29

Checkers34-37-7, 75pts

TRANSACTIONS

Team Info


	Head Coach
	Division	ATLANTIC DIVISION
	City	Wilkes-Barre
	Stadium Capacity	9,000

Penguins Affiliation


	General Manager	Fahad Khan
	Head Coach
	Stadium	PPG Paints Arena
	Capacity	18,500

Team Leaders

GOALS Lucas Edmonds Penguins	29 GOALS
POINTS Lucas Edmonds Penguins	67 POINTS
WINS Kirill Ustimenko Penguins	45 WINS
Expanded Player Leaderboard

Team Stats

Goals For 249 3.23 GFG	Goals Against 213 2.77 GAA
Power Play Percentage 23.2% 48 GF	Penalty Kill Percentage 84.8% 39 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain