LSFH - 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
Pavol Regenda	0	LW	100.00	58	56	68	62	76	67	64	61	55	59	60	64	55	60	57	0	50	65	25	925,000$/2yrs
Cameron Morrison	0	LW	100.00	66	38	94	58	85	73	69	58	52	56	55	58	57	64	66	0	50	64	26	775,000$/1yrs
Hunter McKown	0	C	100.00	56	50	70	59	73	65	62	58	73	62	56	64	56	55	54	0	50	63	22	1,366,667$/2yrs
Patrick Giles	0	C	100.00	55	59	67	60	72	69	66	58	55	57	58	64	54	58	55	0	50	63	25	862,500$/3yrs
Samuel Laberge	0	C/LW	100.00	58	55	65	58	71	66	65	58	56	58	57	65	55	64	58	0	50	63	28	775,000$/2yrs
Dino Kambeitz	0	LW/RW	100.00	55	57	67	58	71	66	64	57	55	56	57	64	54	58	55	0	50	62	25	775,000$/1yrs
Luke Henman	0	C	100.00	56	56	67	58	62	65	63	57	60	56	57	64	54	58	55	0	50	62	24	791,667$/2yrs
Max Ellis	0	RW	100.00	55	55	68	58	58	62	61	57	55	57	56	62	56	58	55	0	50	61	25	838,750$/1yrs
Jean-Sebastien Dea	0	C	100.00	53	54	63	57	56	64	62	59	66	56	59	53	51	64	57	0	50	60	31	762,500$/1yrs
Nick Swaney	0	RW	100.00	54	57	69	57	63	57	57	56	55	55	56	60	54	63	58	0	50	60	27	775,000$/1yrs
Jordan Frasca	0	C/LW	100.00	55	54	69	54	67	54	54	54	55	54	54	59	54	56	54	0	50	58	23	925,000$/2yrs
Stelio Mattheos	0	C/RW	100.00	53	51	63	52	61	55	54	52	52	52	52	54	51	56	52	0	50	56	25	750,000$/1yrs
Xavier Ouellet	0	D	100.00	55	54	67	61	66	66	64	58	40	59	55	65	54	70	62	0	50	63	31	762,500$/1yrs
Jacob Larsson	0	D	100.00	56	56	66	60	69	67	64	60	40	60	56	62	54	63	58	0	50	63	27	775,000$/1yrs
Taylor Fedun	0	D	100.00	56	54	67	57	68	64	62	56	40	57	54	63	54	79	66	0	50	62	36	762,500$/1yrs
Hardy Haman Aktell	0	D	100.00	55	52	66	57	71	65	62	54	39	55	52	63	52	60	55	0	50	61	26	950,000$/2yrs
Mike Benning (R)	0	D	100.00	53	54	63	59	57	67	65	56	38	56	54	63	51	52	50	0	50	60	23	750,000$/2yrs
Jerad Rosburg	0	D	100.00	53	51	64	52	63	53	53	51	38	52	51	57	51	61	55	0	50	56	28	775,000$/2yrs
Scratches
Dominic Toninato	0	C/LW	100.00	61	53	71	62	72	63	62	59	70	60	59	64	55	68	61	0	50	64	31	775,000$/2yrs
Alexandre Doucet	0	LW	100.00	52	51	67	51	63	52	52	51	52	51	51	56	51	52	50	0	50	55	23	950,000$/3yrs
Adam Mechura	0	LW	100.00	51	51	67	51	70	51	51	51	52	51	51	56	51	51	49	0	50	55	22	775,000$/1yrs
Guillaume Brisebois	0	D	100.00	55	53	71	55	66	59	56	54	40	56	55	63	54	63	58	0	50	60	27	775,000$/2yrs
Linus Hogberg	0	D	100.00	52	51	64	52	57	55	54	52	38	52	51	58	51	58	53	0	50	56	26	750,000$/1yrs
Nicolas Savoie	0	D	100.00	51	51	67	51	63	51	51	51	38	51	51	56	51	52	50	0	50	55	22	775,000$/1yrs
Joe Fleming	0	D	100.00	51	51	67	51	67	51	51	51	38	51	51	56	51	51	49	0	50	55	21	875,000$/3yrs

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
Calle Clang	0	100.00	58	63	63	63	66	55	68	63	60	61	63	53	51	0	50	63	22	925,000$/2yrs
Isaiah Saville	0	100.00	58	61	61	60	64	56	68	61	59	60	62	57	54	0	50	62	24	849,667$/2yrs
Scratches

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Alex Burrows	71	65	65	64	61	57	85	TUR	82	5	0$

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	PKG	PKA	PKP	PKM	GW	GT	FO%	EG	HT	P/GP	PSG	PSS	GSAVG
1	Pavol Regenda	W-B/Scranton Penguins (PIT)	LW	82	42	39	81	-12	44	10	160	339	77	206	12.39%	25	23.15	15	12	27	0	0	0	207	5	1	44.78%	1	2	0.99	0	2	0.94
2	Jacob Larsson	W-B/Scranton Penguins (PIT)	D	82	18	48	66	-21	56	0	168	128	49	88	14.06%	150	23.21	10	17	27	1	0	1	206	2	1	0.00%	0	0	0.80	0	0	0.60
3	Hunter McKown	W-B/Scranton Penguins (PIT)	C	82	19	44	63	-3	18	0	95	216	57	152	8.80%	27	16.55	6	9	15	0	2	2	109	3	0	56.68%	0	0	0.77	0	0	0.74
4	Xavier Ouellet	W-B/Scranton Penguins (PIT)	D	82	16	43	59	-26	76	0	146	144	38	104	11.11%	153	22.90	8	16	24	0	1	1	203	0	1	0.00%	0	0	0.72	0	0	0.49
5	Samuel Laberge	W-B/Scranton Penguins (PIT)	C/LW	79	24	35	59	-13	23	5	147	244	60	160	9.84%	24	18.32	3	16	19	1	0	1	164	3	2	45.42%	1	0	0.75	0	0	0.70
6	Dominic Toninato	W-B/Scranton Penguins (PIT)	C/LW	73	19	32	51	-34	28	0	133	228	60	159	8.33%	22	17.95	6	13	19	0	1	1	92	1	2	56.79%	0	0	0.70	1	1	0.57
7	Max Ellis	W-B/Scranton Penguins (PIT)	RW	82	15	28	43	-37	46	0	135	216	86	136	6.94%	21	18.91	4	8	12	0	0	0	53	2	0	39.66%	0	0	0.52	0	0	0.39
8	Dino Kambeitz	W-B/Scranton Penguins (PIT)	LW/RW	78	18	22	40	-16	39	15	92	190	54	120	9.47%	17	16.45	6	8	14	0	1	1	54	1	1	51.50%	1	0	0.51	0	0	0.44
9	Taylor Fedun	W-B/Scranton Penguins (PIT)	D	80	9	28	37	-21	74	0	145	112	30	82	8.04%	124	20.86	5	9	14	0	0	0	189	0	1	0.00%	0	0	0.46	0	0	0.29
10	Hardy Haman Aktell	W-B/Scranton Penguins (PIT)	D	79	10	27	37	-19	40	0	126	71	17	64	14.08%	97	18.66	3	6	9	0	0	0	120	0	0	0.00%	1	0	0.47	0	0	0.31
11	Cameron Morrison	W-B/Scranton Penguins (PIT)	LW	75	11	25	36	-39	22	0	102	163	60	106	6.75%	15	19.50	3	11	14	0	1	1	141	3	1	47.17%	0	0	0.48	0	1	0.32
12	Nick Swaney	W-B/Scranton Penguins (PIT)	RW	78	16	14	30	-27	27	5	68	121	31	74	13.22%	5	11.57	1	3	4	0	0	0	20	2	2	42.72%	0	0	0.38	0	0	0.24
13	Patrick Giles	W-B/Scranton Penguins (PIT)	C	81	11	16	27	-18	41	5	85	124	35	104	8.87%	8	9.71	1	0	1	0	0	0	4	1	1	47.81%	0	0	0.33	0	0	0.20
14	Mike Benning	W-B/Scranton Penguins (PIT)	D	82	8	18	26	-41	50	0	124	60	23	40	13.33%	95	16.63	3	3	6	1	1	2	111	2	0	0.00%	0	0	0.32	0	0	0.08
15	Jordan Frasca	W-B/Scranton Penguins (PIT)	C/LW	82	11	13	24	-36	20	0	80	114	30	87	9.65%	9	14.07	0	0	0	0	0	0	0	1	1	52.17%	0	0	0.29	0	0	0.16
16	Guillaume Brisebois	W-B/Scranton Penguins (PIT)	D	77	1	22	23	-39	40	0	107	84	24	55	1.19%	95	17.45	1	8	9	0	1	1	123	0	0	0.00%	0	0	0.30	0	0	0.11
17	Jean-Sebastien Dea	W-B/Scranton Penguins (PIT)	C	81	6	7	13	-12	10	0	38	41	16	44	14.63%	6	7.16	1	2	3	1	0	1	116	0	0	51.10%	0	0	0.16	0	0	0.09
18	Luke Henman	W-B/Scranton Penguins (PIT)	C	77	2	10	12	-8	16	0	34	72	22	44	2.78%	10	6.07	0	0	0	0	0	0	8	0	1	43.04%	0	0	0.16	0	0	0.13
19	Jerad Rosburg	W-B/Scranton Penguins (PIT)	D	16	0	4	4	0	14	0	17	3	1	1	0.00%	8	10.86	0	0	0	0	0	0	6	0	0	0.00%	0	0	0.25	0	0	0.07
20	Stelio Mattheos	W-B/Scranton Penguins (PIT)	C/RW	16	1	0	1	-1	0	0	7	3	1	6	33.33%	1	5.21	0	0	0	0	0	0	7	0	0	54.17%	0	0	0.06	0	0	0.06
21	Linus Hogberg	W-B/Scranton Penguins (PIT)	D	5	0	0	0	0	0	0	0	0	0	0	0.00%	0	1.05	0	0	0	0	0	0	2	0	0	0.00%	0	0	0.00	0	0	0.00
22	Adam Mechura	W-B/Scranton Penguins (PIT)	LW	5	0	0	0	-2	0	0	3	4	0	1	0.00%	0	7.04	0	0	0	0	0	0	0	0	0	50.00%	0	0	0.00	0	0	-0.08
23	Joe Fleming	W-B/Scranton Penguins (PIT)	D	1	0	0	0	0	0	0	1	0	0	0	0.00%	0	8.45	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00	0	0	0.03
Team Total or Average			1475	257	475	732	-425	684	40	2013	2677	771	1833	9.60%	912	16.36	76	141	217	2754	4	8	12	1946	26	15	51.14%	7335	0	0	4	2	0.61	1	4

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
1	Calle Clang	W-B/Scranton Penguins (PIT)	55	14	31	3	0.879	4.52	2786	2	0	210	1729	0	2	2	0.600	5	51	31	0	2	2
2	Isaiah Saville	W-B/Scranton Penguins (PIT)	43	13	17	4	0.897	3.54	2153	0	0	127	1239	0	1	0	0.000	0	31	51	3	1	0
Team Total or Average		98	27	48	7	0.886	4.09	4939	2	0	337	2968	0	3	2	0.600	5	82	82	3	3	2

Salary

Player Name	POS	Age	Cap Hit	2023-24	2024-25	2025-26	2026-27
Adam Mechura	LW	22	775,000$	775,000$	RFA
Alexandre Doucet	LW	23	950,000$	950,000$	950,000$	950,000$	RFA
Calle Clang	G	22	925,000$	925,000$	925,000$	RFA
Cameron Morrison	LW	26	775,000$	775,000$	UFA
Dino Kambeitz	LW/RW	25	775,000$	775,000$	RFA
Dominic Toninato	C/LW	31	775,000$	775,000$	775,000$	UFA
Guillaume Brisebois	D	27	775,000$	775,000$	775,000$	UFA
Hardy Haman Aktell	D	26	950,000$	950,000$	775,000$	UFA
Hunter McKown	C	22	1,366,667$	1,366,667$	1,366,667$	RFA
Isaiah Saville	G	24	849,667$	849,667$	849,667$	UFA
Jacob Larsson	D	27	775,000$	775,000$	UFA
Jean-Sebastien Dea	C	31	762,500$	762,500$	UFA
Jerad Rosburg	D	28	775,000$	775,000$	775,000$	UFA
Joe Fleming	D	21	875,000$	875,000$	875,000$	894,167$	RFA
Jordan Frasca	C/LW	23	925,000$	925,000$	925,000$	RFA
Linus Hogberg	D	26	750,000$	750,000$	UFA
Luke Henman	C	24	791,667$	791,667$	775,000$	UFA
Max Ellis	RW	25	838,750$	838,750$	RFA
Mike Benning	D	23	750,000$	750,000$	925,000$	RFA
Nick Swaney	RW	27	775,000$	775,000$	UFA
Nicolas Savoie	D	22	775,000$	775,000$	RFA
Patrick Giles	C	25	862,500$	862,500$	775,000$	775,000$	UFA
Pavol Regenda	LW	25	925,000$	925,000$	775,000$	UFA
Samuel Laberge	C/LW	28	775,000$	775,000$	775,000$	UFA
Stelio Mattheos	C/RW	25	750,000$	750,000$	UFA
Taylor Fedun	D	36	762,500$	762,500$	UFA
Xavier Ouellet	D	31	762,500$	762,500$	UFA

Lines

Forward Lines
# - Pavol Regenda	# - Cameron Morrison	# - Samuel Laberge
# - Luke Henman	# - Patrick Giles	# - Max Ellis
# - Jordan Frasca	# - Hunter McKown	# - Dino Kambeitz
# - Pavol Regenda	# - Cameron Morrison	# - Samuel Laberge

Defensive Pairings
# - Jacob Larsson	# - Xavier Ouellet
# - Taylor Fedun	# - Hardy Haman Aktell
# - Jerad Rosburg	# - Mike Benning

1st Power Play Unit
# - Pavol Regenda		# - Hunter McKown		# - Samuel Laberge
# - Jacob Larsson			# - Xavier Ouellet

2nd Power Play Unit
# - Cameron Morrison		# - Patrick Giles		# - Max Ellis
# - Mike Benning			# - Taylor Fedun

Goalies
# - Isaiah Saville		# - Calle Clang

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	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	Checkers	3	0	1	1	1	0	0	8	9	-1	3	0.500	8	14	22	0	87	80	83	8	106	907	896	849	29	104	27	12	70	12	3	25.00%	6	2	66.67%	1	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	41.7%	7.5%	91.3%	98.9	DULL
2	Marlies	3	1	2	0	0	0	0	10	12	-2	2	0.333	10	17	27	0	87	80	83	8	97	907	896	849	29	83	25	10	79	9	3	33.33%	4	2	50.00%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	41.2%	10.3%	85.5%	95.9	FUN
3	Americans	3	2	1	0	0	0	0	8	6	2	4	0.667	8	14	22	0	87	80	83	8	101	907	896	849	29	101	22	18	80	12	1	8.33%	9	2	77.78%	1	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	63.6%	7.9%	94.1%	102.0	DULL
4	Binghamton Senateurs	3	1	2	0	0	0	0	11	12	-1	2	0.333	11	20	31	0	87	80	83	8	97	907	896	849	29	112	38	32	82	13	3	23.08%	16	2	87.50%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	44.4%	11.3%	89.3%	100.6	FUN
5	Bears	6	3	2	0	1	0	0	24	25	-1	7	0.583	24	43	67	0	87	80	83	8	203	907	896	849	29	253	73	38	151	32	7	21.88%	17	4	76.47%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	44.7%	11.8%	90.1%	101.9	FUN
6	Rockets	3	0	3	0	0	0	0	5	15	-10	0	0.000	5	9	14	0	87	80	83	8	86	907	896	849	29	93	33	14	78	19	2	10.53%	7	0	100.00%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	16.7%	5.8%	83.9%	89.7	Unlucky
7	Providence Bruins	3	0	2	1	0	0	0	8	14	-6	2	0.333	8	16	24	0	87	80	83	8	81	907	896	849	29	117	44	26	62	9	1	11.11%	13	4	69.23%	1	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	41.2%	9.9%	88.0%	97.9	FUN
8	Wolves	5	0	5	0	0	0	0	12	19	-7	0	0.000	12	22	34	0	87	80	83	8	175	907	896	849	29	173	57	37	112	18	2	11.11%	13	2	84.62%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	37.0%	6.9%	89.0%	95.9	Unlucky
9	Eagles	1	0	1	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	87	80	83	8	30	907	896	849	29	25	13	14	29	4	1	25.00%	6	1	83.33%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	0.0%	3.3%	88.0%	91.3	Unlucky
10	Phantoms	5	1	2	1	1	0	0	21	24	-3	5	0.500	21	42	63	0	87	80	83	8	154	907	896	849	29	201	48	36	125	24	7	29.17%	15	5	66.67%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	42.4%	13.6%	88.1%	101.7	FUN
11	Wolf Pack	6	0	4	1	0	1	0	20	26	-6	4	0.333	20	34	54	0	87	80	83	8	164	907	896	849	29	200	73	52	151	15	5	33.33%	26	7	73.08%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	44.1%	12.2%	87.0%	99.2	FUN
12	islanders	5	0	3	1	1	0	0	10	20	-10	3	0.300	10	18	28	0	87	80	83	8	147	907	896	849	29	198	54	56	113	21	1	4.76%	21	4	80.95%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	36.0%	6.8%	89.9%	96.7	Unlucky
13	IceHogs	1	0	1	0	0	0	0	2	8	-6	0	0.000	2	3	5	0	87	80	83	8	58	907	896	849	29	38	13	8	35	4	1	25.00%	3	3	0.00%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	16.7%	3.4%	78.9%	82.4	Unlucky
14	Griffins	3	1	2	0	0	0	0	13	13	0	2	0.333	13	25	38	0	87	80	83	8	123	907	896	849	29	101	39	18	74	13	3	23.08%	7	3	57.14%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	50.0%	10.6%	87.1%	97.7	FUN
15	Monsters	5	0	5	0	0	0	0	11	23	-12	0	0.000	11	22	33	1	87	80	83	8	135	907	896	849	29	155	69	46	101	16	4	25.00%	22	3	86.36%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	25.9%	8.1%	85.2%	93.3	Unlucky
16	Barracuda	1	0	1	0	0	0	0	4	5	-1	0	0.000	4	7	11	0	87	80	83	8	32	907	896	849	29	25	6	10	28	5	1	20.00%	5	1	80.00%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	42.9%	12.5%	80.0%	92.5	FUN
17	Condors	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	4	6	1	87	80	83	8	26	907	896	849	29	49	13	14	20	4	0	0.00%	7	1	85.71%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	40.0%	7.7%	91.8%	99.5	DULL
18	Iowa Wild	2	0	1	0	0	0	1	5	11	-6	1	0.250	5	9	14	0	87	80	83	8	56	907	896	849	29	74	23	24	61	5	0	0.00%	11	5	54.55%	1	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	45.5%	8.9%	85.1%	94.1	Unlucky
19	Reign	1	0	0	1	0	0	0	4	3	1	2	1.000	4	8	12	0	87	80	83	8	35	907	896	849	29	40	10	8	22	4	1	25.00%	4	2	50.00%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	75.0%	11.4%	92.5%	103.9	LUCKY
20	Thunderbirds	1	1	0	0	0	0	0	5	4	1	2	1.000	5	10	15	0	87	80	83	8	24	907	896	849	29	40	10	8	30	4	2	50.00%	4	0	100.00%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	42.9%	20.8%	90.0%	110.8	FUN
21	Wranglers	1	0	1	0	0	0	0	1	7	-6	0	0.000	1	2	3	0	87	80	83	8	34	907	896	849	29	58	18	6	27	5	1	20.00%	3	1	66.67%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	0.0%	2.9%	87.9%	90.9	Unlucky
22	Gulls	1	0	1	0	0	0	0	6	7	-1	0	0.000	6	12	18	0	87	80	83	8	43	907	896	849	29	43	15	2	39	3	1	33.33%	1	0	100.00%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	41.7%	14.0%	83.7%	97.7	FUN
23	Texas Stars	1	1	0	0	0	0	0	6	4	2	2	1.000	6	11	17	0	87	80	83	8	54	907	896	849	29	38	15	6	18	4	1	25.00%	3	2	33.33%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	71.4%	11.1%	89.5%	100.6	FUN
24	Canucks	1	1	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	87	80	83	8	39	907	896	849	29	34	3	4	16	1	0	0.00%	2	1	50.00%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	80.0%	10.3%	94.1%	104.4	LUCKY
25	Comets	5	3	1	0	1	0	0	19	16	3	7	0.700	19	35	54	0	87	80	83	8	186	907	896	849	29	179	52	53	117	21	7	33.33%	18	4	77.78%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	50.0%	10.2%	91.1%	101.3	Unlucky
26	Roadrunners	1	1	0	0	0	0	0	2	1	1	2	1.000	2	3	5	0	87	80	83	8	29	907	896	849	29	38	10	17	22	4	1	25.00%	6	1	83.33%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	100.0%	6.9%	97.4%	104.3	DULL
27	Crunch	3	2	0	1	0	0	0	12	8	4	6	1.000	12	23	35	0	87	80	83	8	118	907	896	849	29	97	20	22	72	24	6	25.00%	11	1	90.91%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	46.2%	10.2%	91.8%	101.9	LUCKY
28	Admirals	1	0	1	0	0	0	0	3	4	-1	0	0.000	3	4	7	0	87	80	83	8	29	907	896	849	29	33	11	6	30	2	1	50.00%	2	0	100.00%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	33.3%	10.3%	87.9%	98.2	FUN
29	Moose	2	0	1	0	1	0	0	6	11	-5	1	0.250	6	11	17	0	87	80	83	8	60	907	896	849	29	82	33	26	42	6	3	50.00%	12	5	58.33%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	33.3%	10.0%	86.6%	96.6	FUN
30	Silver Knights	2	0	2	0	0	0	0	6	12	-6	0	0.000	6	11	17	0	87	80	83	8	54	907	896	849	29	72	19	24	64	9	3	33.33%	12	2	83.33%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	23.1%	11.1%	83.3%	94.4	FUN
31	Firebirds	3	1	2	0	0	0	0	9	12	-3	2	0.333	9	17	26	0	87	80	83	8	101	907	896	849	29	114	27	39	63	10	4	40.00%	11	4	63.64%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	38.5%	8.9%	89.5%	98.4	Unlucky
	_Vs Division	37	7	22	3	4	1	0	117	153	-36	26	0.351	117	216	333	1	87	80	83	8	1164	907	896	849	29	1359	426	318	870	147	33	22.45%	132	29	78.03%	0	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	40.4%	10.1%	88.7%	98.8	FUN
	_Vs Conference	61	14	35	6	5	1	0	192	242	-50	47	0.385	192	354	546	1	87	80	83	8	1973	907	896	849	29	2167	674	470	1467	258	55	21.32%	205	45	78.05%	3	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	41.0%	9.7%	88.8%	98.6	FUN
	_Since Last GM Reset	82	19	48	7	6	1	1	258	340	-82	61	0.372	258	475	733	2	87	80	83	8	2677	907	896	849	29	2970	913	686	2013	332	76	22.89%	297	74	75.08%	4	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	40.6%	9.6%	88.6%	98.2	FUN
	Total	82	19	48	7	6	1	1	258	340	-82	61	0.372	258	475	733	2	87	80	83	8	2677	907	896	849	29	2970	913	686	2013	332	76	22.89%	297	74	75.08%	4	1513	2863	52.85%	1529	2999	50.98%	709	1430	49.58%	1852	1220	1975	653	1119	548	40.6%	9.6%	88.6%	98.2	FUN

	Puck Time
Offensive Zone	22
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	2863
Neutral Zone Start	1430
Defensive Zone Start	2999

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	3751
Faceoffs Lost	3541

	Team Average Shots after	League Average Shots after
1st Period	11.1	9.57
2nd Period	22.0	20.31
3rd Period	32.3	30.68
Overtime	32.7	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.1	0.64
2nd Period	2.0	1.65
3rd Period	3.0	2.67
Overtime	3.1	2.83


Even Strenght Goal	176
PP Goal	76
PK Goal	4
Empty Net Goal	2

	Home	Away
Win	13	14
Lost	22	26
Overtime Lost	6	1


PP Attempt	332
PP Goal	76
PK Attempt	297
PK Goal Against	74

	Home
Shots For	32.6
Shots Against	36.2
Goals For	3.1
Goals Against	4.1
Hits	24.5
Shots Blocked	11.1
Pim	8.4

Schedule

Date	Matchup			Result	Detail
Wed, Oct 9	HAR	@	WBS	HAR4,WBS5 (OT)	RECAP
Thu, Oct 10	WBS	@	HER	WBS5,HER3	RECAP
Mon, Oct 14	CLE	@	WBS	CLE6,WBS4	RECAP
Thu, Oct 17	WBS	@	BRI	WBS2,BRI6	RECAP
Sat, Oct 19	BRI	@	WBS	BRI3,WBS4 (OT)	RECAP
Tue, Oct 22	WBS	@	FCV	WBS2,FCV3	RECAP
Wed, Oct 23	LEV	@	WBS	LEV7,WBS6 (OT)	RECAP
Fri, Oct 25	WBS	@	HER	WBS3,HER5	RECAP
Mon, Oct 28	HAR	@	WBS	HAR5,WBS3	RECAP
Wed, Oct 30	LEV	@	WBS	LEV7,WBS1	RECAP
Thu, Oct 31	WBS	@	CHW	WBS4,CHW5	RECAP
Sat, Nov 2	WBS	@	UTI	WBS3,UTI4 (OT)	RECAP
Sun, Nov 3	GRG	@	WBS	GRG6,WBS5	RECAP
Tue, Nov 5	WBS	@	LVL	WBS1,LVL4	RECAP
Wed, Nov 6	WBS	@	CHW	WBS1,CHW2	RECAP
Fri, Nov 8	UTI	@	WBS	UTI2,WBS5	RECAP
Fri, Nov 15	LVL	@	WBS	LVL5,WBS2	RECAP
Sun, Nov 17	MAR	@	WBS	MAR5,WBS4	RECAP
Fri, Nov 22	GRG	@	WBS	GRG2,WBS4	RECAP
Mon, Nov 25	WBS	@	TUC	WBS2,TUC1	RECAP
Wed, Nov 27	WBS	@	BRI	WBS1,BRI6	RECAP
Thu, Nov 28	CHA	@	WBS	CHA4,WBS3 (OT)	RECAP
Mon, Dec 2	IOW	@	WBS	IOW5,WBS4 (SO)	RECAP
Wed, Dec 4	WBS	@	CLE	WBS0,CLE4	RECAP
Fri, Dec 6	WBS	@	LVL	WBS2,LVL6	RECAP
Sat, Dec 7	BNG	@	WBS	BNG2,WBS4	RECAP
Thu, Dec 12	HEN	@	WBS	HEN6,WBS2	RECAP
Sat, Dec 14	WBS	@	WRA	WBS1,WRA7	RECAP
Sun, Dec 15	CLE	@	WBS	CLE4,WBS2	RECAP
Tue, Dec 17	WBS	@	ABB	WBS4,ABB2	RECAP
Thu, Dec 19	SJB	@	WBS	SJB5,WBS4	RECAP
Fri, Dec 20	WBS	@	SPR	WBS5,SPR4	RECAP
Tue, Dec 24	BAK	@	WBS	BAK4,WBS2	RECAP
Thu, Dec 26	WBS	@	GRG	WBS4,GRG5	RECAP
Fri, Dec 27	UTI	@	WBS	UTI3,WBS5	RECAP
Sun, Dec 29	WBS	@	BNG	WBS3,BNG4	RECAP
Wed, Jan 1	MAR	@	WBS	MAR1,WBS3	RECAP
Sun, Jan 5	WBS	@	PRO	WBS3,PRO6	RECAP
Tue, Jan 7	RFD	@	WBS	RFD8,WBS2	RECAP
Wed, Jan 8	WBS	@	HAR	WBS2,HAR5	RECAP
Fri, Jan 10	HER	@	WBS	HER5,WBS4 (OT)	RECAP
Sun, Jan 12	WBS	@	SDG	WBS6,SDG7	RECAP
Mon, Jan 13	FCV	@	WBS	FCV5,WBS6	RECAP
Wed, Jan 15	WBS	@	SYR	WBS5,SYR3	RECAP
Sat, Jan 18	WBS	@	HAR	WBS4,HAR5	RECAP
Sun, Jan 19	HAR	@	WBS	HAR2,WBS3 (SO)	RECAP
Wed, Jan 22	WBS	@	MAR	WBS3,MAR6	RECAP
Thu, Jan 23	SYR	@	WBS	SYR2,WBS3	RECAP
Thu, Jan 30	HAR	@	WBS	HAR5,WBS3	RECAP
Sun, Feb 2	WBS	@	FCV	WBS1,FCV4	RECAP
Tue, Feb 4	CHW	@	WBS	CHW3,WBS1	RECAP
Wed, Feb 5	WBS	@	ROC	WBS2,ROC4	RECAP
Sat, Feb 8	WBS	@	HER	WBS2,HER5	RECAP
Mon, Feb 10	WBS	@	CHW	WBS4,CHW6	RECAP
Tue, Feb 11	HER	@	WBS	HER4,WBS6	RECAP
Thu, Feb 13	WBS	@	TEX	WBS6,TEX4	RECAP
Sat, Feb 15	LEV	@	WBS	LEV2,WBS1	RECAP
Mon, Feb 17	WBS	@	CHA	WBS1,CHA2	RECAP
Tue, Feb 18	PRO	@	WBS	PRO5,WBS1	RECAP
Wed, Feb 19	WBS	@	HEN	WBS4,HEN6	RECAP
Sat, Feb 22	MIL	@	WBS	MIL4,WBS3	RECAP
Sun, Feb 23	WBS	@	HER	WBS4,HER3	RECAP
Wed, Feb 26	SYR	@	WBS	SYR3,WBS4 (OT)	RECAP
Fri, Feb 28	WBS	@	PRO	WBS4,PRO3 (OT)	RECAP
Sun, Mar 2	IOW	@	WBS	IOW6,WBS1	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Tue, Mar 4	WBS	@	CHA	WBS4,CHA3 (OT)	RECAP
Thu, Mar 6	ROC	@	WBS	ROC1,WBS4	RECAP
Sat, Mar 8	WBS	@	ONT	WBS4,ONT3 (OT)	RECAP
Thu, Mar 13	CHW	@	WBS	CHW3,WBS2	RECAP
Sun, Mar 16	WBS	@	ROC	WBS2,ROC1	RECAP
Tue, Mar 18	WBS	@	BNG	WBS4,BNG6	RECAP
Thu, Mar 20	MAN	@	WBS	MAN5,WBS1	RECAP
Sat, Mar 22	CLE	@	WBS	CLE4,WBS1	RECAP
Mon, Mar 24	WBS	@	LEV	WBS6,LEV5 (OT)	RECAP
Sat, Mar 29	MAN	@	WBS	MAN6,WBS5 (OT)	RECAP
Fri, Apr 4	WBS	@	UTI	WBS2,UTI4	RECAP
Sun, Apr 6	EAG	@	WBS	EAG3,WBS1	RECAP
Tue, Apr 8	WBS	@	CLE	WBS4,CLE5	RECAP
Wed, Apr 9	WBS	@	LEV	WBS7,LEV3	RECAP
Fri, Apr 11	WBS	@	UTI	WBS4,UTI3	RECAP
Sun, Apr 13	BRI	@	WBS	BRI3,WBS2	RECAP
Thu, Apr 17	BRI	@	WBS	BRI2,WBS1 (OT)	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,254,676$	0$	0$	75,000,000$

Arena	About us
	Name
	City	W-B/Scranton
	Capacity	3000
	Season Ticket Holders	10%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	25$	15$	$	$	$
Attendance	79610	39435
Attendance PCT	97.09%	96.18%	0.00%	0.00%	0.00%

Income

Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2904 - 96.78%	93,826$	3,846,847$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,254,676$	2,254,676$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,264,647$	0$	2,259,447$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	11,622$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	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

islanders46-28-8, 100pts

32Final

W-B/Scranton Penguins27-48-7, 61pts

islanders46-28-8, 100pts

21Final

W-B/Scranton Penguins27-48-7, 61pts

islanders46-28-8, 100pts

Fri, Apr 18

W-B/Scranton Penguins27-48-7, 61pts

Fri, Oct 11

Bears45-31-6, 96pts

Monsters44-30-8, 96pts

Tue, Oct 15

W-B/Scranton Penguins27-48-7, 61pts

TRANSACTIONS

Team Info


	Head Coach	Alex Burrows
	Division	METROPOLITAINE
	City	W-B/Scranton
	Stadium Capacity	3,000

W-B/Scranton Penguins Affiliation


	General Manager
	Head Coach	Pascal Vincent
	Stadium
	Capacity	17,000

Team Leaders

GOALS Pavol Regenda W-B/Scranton Penguins	42 GOALS
POINTS Pavol Regenda W-B/Scranton Penguins	81 POINTS
WINS Calle Clang W-B/Scranton Penguins	14 WINS
Expanded Player Leaderboard

Team Stats

Goals For 258 3.15 GFG	Goals Against 340 4.15 GAA
Power Play Percentage 22.9% 76 GF	Penalty Kill Percentage 75.1% 74 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain