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
Glenn Gawdin	0	C	100.00	57	56	67	65	68	70	67	70	60	69	67	65	66	68	61	0	50	69	29	775,000$/2yrs
T.J. Tynan	36	C	100.00	58	55	67	62	57	67	65	67	56	72	59	64	55	76	66	0	50	67	34	775,000$/1yrs
Matt Martin	17	LW	100.00	78	72	91	63	81	49	76	56	56	61	59	67	54	84	62	0	50	66	36	775,000$/1yrs
Dominik Shine	0	RW	100.00	59	61	67	62	65	68	66	64	56	66	61	63	55	74	65	0	50	66	32	775,000$/1yrs
Colin White	12	C	100.00	59	52	74	68	72	64	64	60	68	60	60	60	55	69	64	0	50	65	29	850,000$/1yrs
Garrett Wilson	0	LW	100.00	58	59	58	59	75	68	67	59	55	58	59	62	54	78	67	0	50	64	35	775,000$/1yrs
Lukas Rousek	0	C/LW/RW	100.00	56	55	70	57	66	69	66	63	55	66	57	62	54	63	59	0	50	64	26	775,000$/1yrs
Bo Groulx	0	C	100.00	63	55	70	62	72	64	64	60	69	60	60	62	54	62	59	0	50	64	26	775,000$/3yrs
Owen Sillinger	0	LW	100.00	56	60	69	59	65	66	64	61	56	61	60	62	55	68	61	0	50	64	28	750,000$/1yrs
MacKenzie MacEachern	0	LW	100.00	56	56	68	59	70	63	62	59	55	59	57	61	54	72	64	0	50	63	32	775,000$/1yrs
Hayden Hodgson	0	C	100.00	59	56	60	61	78	65	65	57	56	57	57	63	55	68	61	0	50	63	30	775,000$/3yrs
Tyce Thompson	0	C	100.00	55	55	63	60	67	68	67	58	55	57	55	61	54	63	58	0	50	62	26	762,500$/1yrs
Tyson Barrie	0	D	100.00	61	45	80	61	73	67	67	62	41	67	62	70	56	81	65	0	50	68	34	1,250,000$/1yrs
Aaron Ness	42	D	100.00	56	54	68	57	62	66	65	60	40	59	59	65	54	79	68	0	50	64	35	750,000$/1yrs
Kevin Connauton	0	D	100.00	58	56	63	59	70	67	65	60	40	60	56	64	54	79	68	0	50	64	36	775,000$/2yrs
Brad Hunt	0	D	100.00	55	58	68	60	58	65	63	61	40	61	57	62	54	83	70	0	50	64	37	750,000$/1yrs
Jake Bischoff	0	D	100.00	56	54	68	61	68	67	65	60	40	61	57	62	54	72	64	0	50	64	31	750,000$/1yrs
Dan Renouf	44	D	100.00	57	55	63	57	68	66	65	57	40	57	55	65	54	72	64	0	50	63	31	750,000$/1yrs
Scratches
Bradley Marek	0	C	100.00	55	54	66	57	74	64	63	56	55	55	57	62	54	60	56	0	50	61	25	775,000$/2yrs
Matthew Seminoff	0	C/RW	100.00	55	54	68	58	64	67	65	56	55	56	55	65	54	55	53	0	50	61	22	850,000$/2yrs
Filip Zadina	71	LW/RW	100.00	58	50	64	58	60	58	62	56	54	56	58	57	55	56	55	0	50	60	26	775,000$/1yrs
Josh Filmon (R)	0	LW/RW	100.00	51	51	67	51	63	53	53	51	52	51	51	57	51	51	49	0	50	55	22	918,333$/3yrs
Michael Karow	78	D	100.00	56	54	66	59	70	69	67	57	40	57	54	65	54	65	60	0	50	63	27	750,000$/1yrs
Marc-Andre Gaudet (R)	0	D	100.00	55	54	70	54	69	55	55	54	40	54	54	60	54	55	53	0	50	59	22	802,500$/3yrs
Joni Jurmo (R)	0	D	100.00	51	51	67	52	70	55	54	51	38	51	51	57	51	54	51	0	50	56	23	850,000$/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
Louis Domingue	0	100.00	63	68	68	66	67	56	66	69	62	67	63	80	67	0	50	68	34	775,000$/1yrs
Aaron Dell	35	100.00	58	59	60	56	64	56	68	60	63	64	64	84	69	0	50	65	36	775,000$/1yrs
Scratches
Eetu Makiniemi	0	100.00	58	59	59	62	65	58	68	59	62	62	64	65	57	0	50	64	26	775,000$/1yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Chantal Machabée	75	75	75	75	75	75	75	CAN	61	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	P/GP	PSG	PSS	GSAVG
1	Glenn Gawdin	Americans (BUF)	C	76	33	48	81	2	33	5	115	300	80	222	11.00%	22	22.40	11	19	30	1	1	2	247	5	1	50.47%	0	1.07	2	7	1.04
2	T.J. Tynan	Americans (BUF)	C	82	21	53	74	-11	40	0	115	279	78	228	7.53%	23	20.60	3	17	20	0	1	1	135	3	2	47.06%	0	0.90	1	3	0.78
3	Dominik Shine	Americans (BUF)	RW	82	27	32	59	-4	56	10	158	236	79	174	11.44%	25	21.31	5	11	16	3	0	3	256	1	1	50.93%	0	0.72	2	4	0.68
4	Colin White	Americans (BUF)	C	80	18	31	49	-16	28	0	102	216	65	138	8.33%	21	17.57	5	9	14	0	0	0	23	4	2	52.95%	0	0.61	1	2	0.56
5	Tyson Barrie	Americans (BUF)	D	66	14	33	47	-2	60	0	120	109	35	69	12.84%	112	21.43	5	6	11	0	2	2	199	0	1	0.00%	0	0.71	1	2	0.57
6	Lukas Rousek	Americans (BUF)	C/LW/RW	80	11	30	41	-19	22	0	91	159	49	107	6.92%	17	14.92	1	3	4	0	0	0	25	1	1	47.21%	0	0.51	1	2	0.41
7	Garrett Wilson	Americans (BUF)	LW	81	15	18	33	-7	42	0	92	121	34	84	12.40%	14	12.33	2	5	7	0	0	0	68	2	0	48.26%	0	0.41	0	1	0.32
8	Kevin Connauton	Americans (BUF)	D	77	2	30	32	-8	72	0	163	89	39	66	2.25%	101	20.29	1	11	12	0	0	0	225	0	0	66.67%	0	0.42	0	1	0.29
9	Owen Sillinger	Americans (BUF)	LW	78	18	14	32	-18	35	5	68	143	37	119	12.59%	16	13.28	2	0	2	0	0	0	28	2	1	46.15%	0	0.41	0	2	0.32
10	Bo Groulx	Americans (BUF)	C	80	14	14	28	-23	16	0	102	131	32	106	10.69%	12	11.54	0	1	1	0	0	0	18	2	0	48.57%	0	0.35	0	1	0.29
11	Aaron Ness	Americans (BUF)	D	54	9	18	27	-12	26	0	91	53	25	41	16.98%	82	19.82	5	3	8	0	1	1	136	1	0	0.00%	0	0.50	0	0	0.38
12	Matt Martin	Americans (BUF)	LW	49	13	14	27	1	32	0	84	111	32	76	11.71%	8	16.02	2	3	5	0	0	0	38	2	1	47.85%	0	0.55	0	0	0.51
13	Jake Bischoff	Americans (BUF)	D	70	6	20	26	-20	63	5	126	67	20	55	8.96%	91	18.19	3	7	10	0	1	1	142	1	0	0.00%	0	0.37	0	0	0.18
14	Brad Hunt	Americans (BUF)	D	62	2	15	17	-19	65	5	92	62	26	45	3.23%	81	19.56	0	6	6	0	1	1	150	0	0	0.00%	0	0.27	0	0	0.07
15	MacKenzie MacEachern	Americans (BUF)	LW	71	6	8	14	-6	14	0	47	61	10	48	9.84%	7	7.29	0	1	1	0	0	0	12	0	0	41.18%	0	0.20	0	1	0.16
16	Michael Karow	Americans (BUF)	D	62	1	11	12	-9	40	0	86	33	11	22	3.03%	60	14.71	0	0	0	0	0	0	33	0	0	0.00%	0	0.19	0	0	0.08
17	Dan Renouf	Americans (BUF)	D	69	1	9	10	0	34	0	103	41	8	43	2.44%	46	11.44	0	2	2	0	0	0	46	0	0	0.00%	0	0.14	0	0	0.13
18	Hayden Hodgson	Americans (BUF)	C	39	2	2	4	-2	4	0	16	21	6	17	9.52%	3	4.10	0	0	0	0	0	0	1	0	0	60.00%	0	0.10	1	1	0.10
19	Marc-Andre Gaudet	Americans (BUF)	D	11	1	2	3	3	12	0	21	6	2	6	16.67%	14	15.90	0	0	0	0	0	0	3	0	0	0.00%	0	0.27	0	0	0.25
20	Tyce Thompson	Americans (BUF)	C	37	1	0	1	1	6	0	3	3	0	9	33.33%	1	1.86	0	0	0	0	0	0	18	0	0	52.00%	0	0.03	0	0	0.01
21	Bradley Marek	Americans (BUF)	C	5	0	0	0	0	0	0	0	3	0	1	0.00%	0	2.32	0	0	0	0	0	0	3	0	0	44.44%	0	0.00	0	0	0.04
22	Matthew Seminoff	Americans (BUF)	C/RW	8	0	0	0	-2	0	0	2	2	1	3	0.00%	2	2.79	0	0	0	0	0	0	1	0	0	37.50%	0	0.00	0	0	-0.04
23	Josh Filmon	Americans (BUF)	LW/RW	1	0	0	0	-1	0	0	0	0	0	0	0.00%	0	8.77	0	0	0	0	0	0	0	0	0	50.00%	0	0.00	0	0	-0.35
24	Joni Jurmo	Americans (BUF)	D	3	0	0	0	2	2	0	3	0	0	2	0.00%	3	16.89	0	0	0	0	0	0	4	0	0	0.00%	0	0.00	0	0	0.21
Team Total or Average			1323	215	402	617	-170	702	30	1800	2246	669	1681	9.57%	761	15.67	45	104	149	2186	4	7	11	1821	24	10	49.09%	6842	0	0	0	0.60	9	27

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	Louis Domingue	Americans (BUF)	74	25	35	10	0.892	3.80	4292	6	0	272	2514	0	5	1	0.630	27	73	9	4	2	1
2	Aaron Dell	Americans (BUF)	15	6	5	1	0.888	4.15	680	2	0	47	419	0	0	0	0.667	9	9	73	0	1	1
Team Total or Average		89	31	40	11	0.891	3.85	4972	8	0	319	2933	0	5	1	0.639	36	82	82	4	3	2

Salary

Player Name	POS	Age	Cap Hit	2023-24	2024-25	2025-26	2026-27
Aaron Dell	G	36	775,000$	775,000$	UFA
Aaron Ness	D	35	750,000$	750,000$	UFA
Bo Groulx	C	26	775,000$	775,000$	812,500$	812,500$	UFA
Brad Hunt	D	37	750,000$	750,000$	UFA
Bradley Marek	C	25	775,000$	775,000$	790,000$	RFA
Colin White	C	29	850,000$	850,000$	UFA
Dan Renouf	D	31	750,000$	750,000$	UFA
Dominik Shine	RW	32	775,000$	775,000$	UFA
Eetu Makiniemi	G	26	775,000$	775,000$	UFA
Filip Zadina	LW/RW	26	775,000$	775,000$	RFA
Garrett Wilson	LW	35	775,000$	775,000$	UFA
Glenn Gawdin	C	29	775,000$	775,000$	775,000$	UFA
Hayden Hodgson	C	30	775,000$	775,000$	775,000$	775,000$	UFA
Jake Bischoff	D	31	750,000$	750,000$	UFA
Joni Jurmo	D	23	850,000$	850,000$	850,000$	RFA
Josh Filmon	LW/RW	22	918,333$	918,333$	918,333$	918,333$	RFA
Kevin Connauton	D	36	775,000$	775,000$	775,000$	UFA
Louis Domingue	G	34	775,000$	775,000$	UFA
Lukas Rousek	C/LW/RW	26	775,000$	775,000$	UFA
MacKenzie MacEachern	LW	32	775,000$	775,000$	UFA
Marc-Andre Gaudet	D	22	802,500$	802,500$	802,500$	802,500$	RFA
Matt Martin	LW	36	775,000$	775,000$	UFA
Matthew Seminoff	C/RW	22	850,000$	850,000$	850,000$	RFA
Michael Karow	D	27	750,000$	750,000$	UFA
Owen Sillinger	LW	28	750,000$	775,000$	UFA
T.J. Tynan	C	34	775,000$	775,000$	UFA
Tyce Thompson	C	26	762,500$	775,000$	UFA
Tyson Barrie	D	34	1,250,000$	1,250,000$	UFA

Lines

Forward Lines
# - Glenn Gawdin	# - T.J. Tynan	# - Dominik Shine
# - Hayden Hodgson	# - Matt Martin	# - Colin White
# - Lukas Rousek	# - Garrett Wilson	# - Owen Sillinger
# - MacKenzie MacEachern	# - Glenn Gawdin	# - T.J. Tynan

Defensive Pairings
# - Tyson Barrie	# - Jake Bischoff
# - Aaron Ness	# - Kevin Connauton
# - Brad Hunt	# - Dan Renouf

1st Power Play Unit
# - Glenn Gawdin		# - T.J. Tynan		# - Dominik Shine
# - Tyson Barrie			# - Kevin Connauton

2nd Power Play Unit
# - Matt Martin		# - Garrett Wilson		# - Colin White
# - Aaron Ness			# - Dan Renouf

Goalies
# - Louis Domingue		# - Aaron Dell

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	5	1	3	0	0	0	1	13	19	-6	3	0.300	13	23	36	0	101	85	73	16	150	870	847	860	76	198	54	62	141	16	5	31.25%	30	8	73.33%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	42.1%	8.7%	90.4%	99.1	Unlucky
2	Marlies	5	1	1	1	1	1	0	20	19	1	7	0.700	20	34	54	0	101	85	73	16	169	870	847	860	76	198	61	54	116	23	7	30.43%	23	6	73.91%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	50.0%	11.8%	90.4%	102.2	FUN
3	Binghamton Senateurs	4	2	2	0	0	0	0	16	17	-1	4	0.500	16	29	45	0	101	85	73	16	124	870	847	860	76	138	50	37	84	18	4	22.22%	13	5	61.54%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	50.0%	12.9%	87.7%	100.6	FUN
4	Bears	2	1	0	0	0	1	0	9	6	3	4	1.000	9	12	21	0	101	85	73	16	58	870	847	860	76	70	23	16	54	11	1	9.09%	7	0	100.00%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	57.1%	15.5%	91.4%	106.9	LUCKY
5	Rockets	4	1	3	0	0	0	0	10	19	-9	2	0.250	10	17	27	0	101	85	73	16	145	870	847	860	76	139	42	40	88	17	2	11.76%	19	2	89.47%	1	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	32.0%	6.9%	86.3%	93.2	Unlucky
6	Providence Bruins	4	2	1	1	0	0	0	15	13	2	6	0.750	15	26	41	0	101	85	73	16	128	870	847	860	76	121	28	30	108	20	5	25.00%	14	5	64.29%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	55.6%	11.7%	89.3%	101.0	FUN
7	Wolves	2	0	1	0	1	0	0	4	10	-6	1	0.250	4	7	11	0	101	85	73	16	66	870	847	860	76	69	14	20	54	10	1	10.00%	9	2	77.78%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	27.3%	6.1%	85.5%	91.6	Unlucky
8	Eagles	2	1	1	0	0	0	0	6	7	-1	2	0.500	6	12	18	0	101	85	73	16	52	870	847	860	76	80	8	18	51	6	1	16.67%	8	0	100.00%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	41.7%	11.5%	91.3%	102.8	LUCKY
9	Phantoms	2	0	2	0	0	0	0	7	11	-4	0	0.000	7	13	20	0	101	85	73	16	68	870	847	860	76	76	24	33	59	9	2	22.22%	7	1	85.71%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	33.3%	10.3%	85.5%	95.8	FUN
10	Wolf Pack	2	1	0	0	0	0	1	10	9	1	3	0.750	10	18	28	0	101	85	73	16	75	870	847	860	76	74	21	18	52	11	4	36.36%	9	3	66.67%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	50.0%	13.3%	87.8%	101.2	FUN
11	islanders	4	1	3	0	0	0	0	12	19	-7	2	0.250	12	23	35	0	101	85	73	16	93	870	847	860	76	154	43	42	95	11	4	36.36%	20	5	75.00%	1	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	36.4%	12.9%	87.7%	100.6	FUN
12	IceHogs	2	0	2	0	0	0	0	3	7	-4	0	0.000	3	4	7	1	101	85	73	16	62	870	847	860	76	91	32	20	48	7	1	14.29%	10	3	70.00%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	33.3%	4.8%	92.3%	97.1	DULL
13	Griffins	4	1	3	0	0	0	0	10	15	-5	2	0.250	10	19	29	0	101	85	73	16	107	870	847	860	76	140	35	40	102	7	1	14.29%	19	8	57.89%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	56.3%	9.3%	89.3%	98.6	FUN
14	Monsters	3	1	1	0	1	0	0	8	12	-4	3	0.500	8	15	23	0	101	85	73	16	87	870	847	860	76	128	29	28	67	12	4	33.33%	13	4	69.23%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	33.3%	9.2%	90.6%	99.8	FUN
15	Barracuda	2	2	0	0	0	0	0	8	6	2	4	1.000	8	15	23	0	101	85	73	16	57	870	847	860	76	72	24	18	55	3	0	0.00%	9	3	66.67%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	72.7%	14.0%	91.7%	105.7	LUCKY
16	Condors	2	0	1	1	0	0	0	6	7	-1	2	0.500	6	12	18	0	101	85	73	16	68	870	847	860	76	61	16	20	51	10	2	20.00%	9	3	66.67%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	50.0%	8.8%	88.5%	97.3	Unlucky
17	Iowa Wild	2	2	0	0	0	0	0	9	5	4	4	1.000	9	15	24	0	101	85	73	16	69	870	847	860	76	38	25	12	48	9	1	11.11%	6	1	83.33%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	66.7%	13.0%	86.8%	99.9	FUN
18	Reign	2	0	2	0	0	0	0	6	8	-2	0	0.000	6	11	17	0	101	85	73	16	53	870	847	860	76	83	16	14	29	5	0	0.00%	7	1	85.71%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	46.2%	11.3%	90.4%	101.7	FUN
19	Thunderbirds	3	1	2	0	0	0	0	9	12	-3	2	0.333	9	17	26	0	101	85	73	16	97	870	847	860	76	96	41	32	77	9	2	22.22%	15	3	80.00%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	43.8%	9.3%	87.5%	96.8	FUN
20	Wranglers	2	0	2	0	0	0	0	7	12	-5	0	0.000	7	13	20	0	101	85	73	16	59	870	847	860	76	64	21	10	46	12	1	8.33%	4	1	75.00%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	35.3%	11.9%	81.3%	93.1	FUN
21	Gulls	2	1	1	0	0	0	0	6	5	1	2	0.500	6	12	18	0	101	85	73	16	64	870	847	860	76	63	24	24	45	6	2	33.33%	10	1	90.00%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	50.0%	9.4%	92.1%	101.4	LUCKY
22	Texas Stars	2	1	1	0	0	0	0	7	5	2	2	0.500	7	13	20	0	101	85	73	16	75	870	847	860	76	58	21	21	60	8	1	12.50%	8	2	75.00%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	66.7%	9.3%	91.4%	100.7	LUCKY
23	Canucks	2	0	0	0	1	1	0	10	10	0	3	0.750	10	16	26	0	101	85	73	16	61	870	847	860	76	83	27	23	55	6	2	33.33%	9	4	55.56%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	57.1%	16.4%	88.0%	104.3	FUN
24	Comets	2	0	0	0	0	0	2	6	8	-2	2	0.500	6	12	18	0	101	85	73	16	71	870	847	860	76	78	17	14	70	5	1	20.00%	6	1	83.33%	1	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	41.7%	8.5%	89.7%	98.2	Unlucky
25	W-B/Scranton Penguins	2	2	0	0	0	0	0	9	6	3	4	1.000	9	16	25	0	101	85	73	16	85	870	847	860	76	49	23	16	49	11	1	9.09%	8	1	87.50%	1	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	61.5%	10.6%	87.8%	98.3	FUN
26	Roadrunners	2	0	2	0	0	0	0	6	11	-5	0	0.000	6	12	18	0	101	85	73	16	89	870	847	860	76	86	33	20	67	11	2	18.18%	10	3	70.00%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	33.3%	6.7%	87.2%	94.0	Unlucky
27	Crunch	4	1	1	0	1	0	1	16	18	-2	4	0.500	16	29	45	0	101	85	73	16	141	870	847	860	76	134	48	42	102	22	6	27.27%	20	5	75.00%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	43.5%	11.3%	86.6%	97.9	FUN
28	Admirals	2	0	1	1	0	0	0	6	6	0	2	0.500	6	12	18	0	101	85	73	16	73	870	847	860	76	73	21	16	32	7	1	14.29%	8	2	75.00%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	55.6%	8.2%	91.8%	100.0	DULL
29	Moose	2	1	1	0	0	0	0	7	7	0	2	0.500	7	11	18	0	101	85	73	16	55	870	847	860	76	66	23	26	51	9	2	22.22%	12	4	66.67%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	62.5%	12.7%	89.4%	102.1	FUN
30	Silver Knights	2	0	2	0	0	0	0	3	9	-6	0	0.000	3	5	8	0	101	85	73	16	54	870	847	860	76	71	17	33	57	8	1	12.50%	14	4	71.43%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	28.6%	5.6%	87.3%	92.9	Unlucky
31	Firebirds	2	0	1	0	1	0	0	2	7	-5	1	0.250	2	3	5	0	101	85	73	16	61	870	847	860	76	83	21	12	60	4	0	0.00%	6	2	66.67%	0	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	28.6%	3.3%	91.6%	94.8	DULL
	_Vs Division	30	9	14	2	2	1	2	100	120	-20	28	0.467	100	177	277	0	101	85	73	16	964	870	847	860	76	1068	318	305	741	123	30	24.39%	138	39	71.74%	1	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	46.4%	10.4%	88.8%	99.1	FUN
	_Vs Conference	49	15	21	2	4	2	5	165	201	-36	47	0.480	165	293	458	0	101	85	73	16	1567	870	847	860	76	1766	512	492	1241	203	48	23.65%	217	56	74.19%	4	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	44.7%	10.5%	88.6%	99.1	FUN
	_Since Last GM Reset	82	24	40	4	6	3	5	266	325	-59	73	0.445	266	476	742	1	101	85	73	16	2616	870	847	860	76	2934	882	811	2073	323	67	20.74%	362	93	74.31%	4	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	46.2%	10.2%	88.9%	99.1	FUN
	Total	82	24	40	4	6	3	5	266	325	-59	73	0.445	266	476	742	1	101	85	73	16	2616	870	847	860	76	2934	882	811	2073	323	67	20.74%	362	93	74.31%	4	1413	2910	48.56%	1485	2975	49.92%	705	1393	50.61%	1884	1240	1984	652	1108	549	46.2%	10.2%	88.9%	99.1	FUN

	Puck Time
Offensive Zone	22
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	2910
Neutral Zone Start	1393
Defensive Zone Start	2975

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	3603
Faceoffs Lost	3675

	Team Average Shots after	League Average Shots after
1st Period	10.6	9.57
2nd Period	20.9	20.31
3rd Period	31.4	30.68
Overtime	32.4	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.2	0.64
2nd Period	2.3	1.65
3rd Period	3.2	2.67
Overtime	3.4	2.83


Even Strenght Goal	194
PP Goal	67
PK Goal	4
Empty Net Goal	1

	Home	Away
Win	14	17
Lost	22	18
Overtime Lost	5	6


PP Attempt	323
PP Goal	67
PK Attempt	362
PK Goal Against	93

	Home
Shots For	31.9
Shots Against	35.8
Goals For	3.2
Goals Against	4.0
Hits	25.3
Shots Blocked	10.8
Pim	9.9

Schedule

Date	Matchup			Result	Detail
Sat, Oct 4	CHA	@	ROC	CHA5,ROC4 (SO)	RECAP
Sun, Oct 5	ROC	@	MAR	ROC4,MAR3 (SO)	RECAP
Tue, Oct 7	LVL	@	ROC	LVL6,ROC2	RECAP
Fri, Oct 10	ROC	@	GRG	ROC2,GRG3	RECAP
Sat, Oct 11	ROC	@	BRI	ROC4,BRI3	RECAP
Tue, Oct 14	SPR	@	ROC	SPR5,ROC1	RECAP
Wed, Oct 15	GRG	@	ROC	GRG3,ROC2	RECAP
Fri, Oct 17	ROC	@	SYR	ROC2,SYR3	RECAP
Sat, Oct 18	ROC	@	BNG	ROC2,BNG5	RECAP
Mon, Oct 20	BRI	@	ROC	BRI5,ROC3	RECAP
Thu, Oct 23	CHA	@	ROC	CHA4,ROC2	RECAP
Sat, Oct 25	ROC	@	LVL	ROC5,LVL3	RECAP
Sun, Oct 26	ROC	@	IOW	ROC4,IOW2	RECAP
Tue, Oct 28	BNG	@	ROC	BNG4,ROC6	RECAP
Thu, Oct 30	ROC	@	PRO	ROC2,PRO6	RECAP
Sat, Nov 1	ROC	@	BNG	ROC4,BNG2	RECAP
Mon, Nov 3	PRO	@	ROC	PRO3,ROC4	RECAP
Wed, Nov 5	ROC	@	WRA	ROC2,WRA5	RECAP
Fri, Nov 7	IOW	@	ROC	IOW3,ROC5	RECAP
Sun, Nov 9	ROC	@	SPR	ROC4,SPR2	RECAP
Tue, Nov 11	LEV	@	ROC	LEV7,ROC4	RECAP
Thu, Nov 13	ROC	@	SDG	ROC3,SDG4	RECAP
Sat, Nov 15	TUC	@	ROC	TUC4,ROC3	RECAP
Mon, Nov 17	WRA	@	ROC	WRA7,ROC5	RECAP
Wed, Nov 19	ROC	@	TUC	ROC3,TUC7	RECAP
Fri, Nov 21	BRI	@	ROC	BRI4,ROC2	RECAP
Sun, Nov 23	ROC	@	ABB	ROC4,ABB5 (OT)	RECAP
Tue, Nov 25	ROC	@	PRO	ROC4,PRO3 (OT)	RECAP
Thu, Nov 27	ABB	@	ROC	ABB5,ROC6 (SO)	RECAP
Fri, Nov 28	PRO	@	ROC	PRO1,ROC5	RECAP
Mon, Dec 1	BAK	@	ROC	BAK5,ROC3	RECAP
Tue, Dec 2	ROC	@	MIL	ROC3,MIL2 (OT)	RECAP
Thu, Dec 4	HAR	@	ROC	HAR3,ROC5	RECAP
Sat, Dec 6	ROC	@	CHW	ROC2,CHW3 (OT)	RECAP
Sun, Dec 7	ROC	@	SYR	ROC5,SYR6 (SO)	RECAP
Tue, Dec 9	MIL	@	ROC	MIL4,ROC3	RECAP
Thu, Dec 11	SJB	@	ROC	SJB4,ROC5	RECAP
Sun, Dec 14	ROC	@	BAK	ROC3,BAK2 (OT)	RECAP
Mon, Dec 15	SPR	@	ROC	SPR5,ROC4	RECAP
Fri, Dec 19	ROC	@	LEV	ROC3,LEV4	RECAP
Sat, Dec 20	GRG	@	ROC	GRG3,ROC5	RECAP
Mon, Dec 22	ROC	@	GRG	ROC1,GRG6	RECAP
Wed, Dec 24	CHA	@	ROC	CHA4,ROC1	RECAP
Fri, Dec 26	LVL	@	ROC	LVL6,ROC1	RECAP
Mon, Dec 29	ROC	@	MAR	ROC5,MAR4 (OT)	RECAP
Wed, Dec 31	ROC	@	TEX	ROC4,TEX1	RECAP
Fri, Jan 2	EAG	@	ROC	EAG4,ROC1	RECAP
Mon, Jan 5	UTI	@	ROC	UTI3,ROC2 (SO)	RECAP
Tue, Jan 6	ROC	@	WBS	ROC5,WBS3	RECAP
Thu, Jan 8	SDG	@	ROC	SDG1,ROC3	RECAP
Sat, Jan 10	ROC	@	HER	ROC5,HER4 (SO)	RECAP
Sun, Jan 11	MAN	@	ROC	MAN4,ROC6	RECAP
Tue, Jan 13	ROC	@	LVL	ROC2,LVL4	RECAP
Thu, Jan 15	ROC	@	CLE	ROC3,CLE4 (OT)	RECAP
Fri, Jan 16	ROC	@	MAR	ROC4,MAR2	RECAP
Sat, Jan 17	WBS	@	ROC	WBS3,ROC4	RECAP
Mon, Jan 19	RFD	@	ROC	RFD4,ROC2	RECAP
Wed, Jan 21	ROC	@	FCV	ROC1,FCV5	RECAP
Thu, Jan 22	ROC	@	MAN	ROC1,MAN3	RECAP
Fri, Jan 23	HER	@	ROC	HER2,ROC4	RECAP
Sun, Jan 25	BNG	@	ROC	BNG6,ROC4	RECAP
Wed, Jan 28	ROC	@	CHA	ROC2,CHA1	RECAP
Fri, Jan 30	ROC	@	CLE	ROC1,CLE5	RECAP
Sat, Jan 31	CLE	@	ROC	CLE3,ROC4	RECAP
Mon, Feb 2	ROC	@	SJB	ROC3,SJB2	RECAP
Thu, Feb 5	ONT	@	ROC	ONT3,ROC2	RECAP
Sun, Feb 8	FCV	@	ROC	FCV2,ROC1 (OT)	RECAP
Tue, Feb 10	ROC	@	CHA	ROC4,CHA5	RECAP
Thu, Feb 12	TEX	@	ROC	TEX4,ROC3	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Tue, Feb 17	ROC	@	HAR	ROC5,HAR6 (SO)	RECAP
Fri, Feb 20	ROC	@	EAG	ROC5,EAG3	RECAP
Tue, Feb 24	MAR	@	ROC	MAR7,ROC6 (OT)	RECAP
Fri, Feb 27	ROC	@	ONT	ROC4,ONT5	RECAP
Mon, Mar 2	ROC	@	RFD	ROC1,RFD3	RECAP
Wed, Mar 4	CHW	@	ROC	CHW7,ROC2	RECAP
Sat, Mar 7	ROC	@	HEN	ROC2,HEN5	RECAP
Sun, Mar 8	SYR	@	ROC	SYR6,ROC7	RECAP
Tue, Mar 10	ROC	@	UTI	ROC4,UTI5 (SO)	RECAP
Fri, Mar 13	ROC	@	BRI	ROC3,BRI7	RECAP
Mon, Mar 16	MAR	@	ROC	MAR3,ROC1	RECAP
Fri, Mar 20	SYR	@	ROC	SYR3,ROC2 (OT)	RECAP
Thu, Mar 26	HEN	@	ROC	HEN4,ROC1	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
2,244,583$	0$	0$	75,000,000$

Arena	About us
	Name
	City	Rochester
	Capacity	3000
	Season Ticket Holders	10%

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	24$	14$	$	$	$
Attendance	80441	39721
Attendance PCT	98.10%	96.88%	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	2931 - 97.69%	90,369$	3,705,148$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
2,244,583$	2,240,833$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
2,247,042$	0$	2,238,794$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	12,540$	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

Crunch42-33-7, 91pts

32Final

Americans31-40-11, 73pts

Silver Knights45-30-7, 97pts

41Final

Americans31-40-11, 73pts

Silver Knights45-30-7, 97pts

Fri, Mar 27

Americans31-40-11, 73pts

Mon, Oct 06

Marlies44-33-5, 93pts

Rockets40-34-8, 88pts

Wed, Oct 08

Americans31-40-11, 73pts

TRANSACTIONS

Team Info


	Head Coach	Chantal Machabée
	Division	ATLANTIQUE
	City	Rochester
	Stadium Capacity	3,000

Americans Affiliation


	General Manager
	Head Coach	Patrick Roy
	Stadium
	Capacity	17,000

Team Leaders

GOALS Glenn Gawdin Americans	33 GOALS
POINTS Glenn Gawdin Americans	81 POINTS
WINS Louis Domingue Americans	25 WINS
Expanded Player Leaderboard

Team Stats

Goals For 266 3.24 GFG	Goals Against 325 3.96 GAA
Power Play Percentage 20.7% 67 GF	Penalty Kill Percentage 74.3% 93 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain