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
Jonatan Berggren	52	C/LW/RW	99.00	64	45	79	67	74	66	69	63	54	69	65	65	54	56	56	0	50	68	23	925,000$/2yrs
Philip Tomasino	0	C/LW/RW	99.00	64	46	81	67	66	65	69	63	57	69	62	65	62	56	56	0	50	67	22	1,005,000$/2yrs
Rudolfs Balcers	26	LW/RW	99.00	63	47	77	63	65	63	67	59	54	63	62	65	54	60	57	0	50	65	27	750,000$/1yrs
Nolan Patrick	0	C/RW	99.00	66	38	85	56	71	60	65	57	70	67	56	62	55	58	55	0	50	64	25	1,200,000$/1yrs
Trey Fix-Wolansky	46	RW	100.00	57	58	67	64	59	65	63	63	54	61	62	60	61	58	55	0	50	64	24	750,000$/3yrs
Gabriel Bourque	50	C/LW	100.00	55	56	65	59	64	67	65	59	55	57	58	61	54	74	64	0	50	63	33	750,000$/1yrs
Gemel Smith	64	C/LW/RW	100.00	57	58	61	60	62	62	62	61	70	59	59	62	60	67	60	0	50	63	30	750,000$/1yrs
Oskar Steen	62	C/RW	100.00	55	57	66	61	60	65	63	59	69	57	59	62	54	60	56	0	50	63	26	800,000$/2yrs
Curtis Douglas	28	C	100.00	58	56	58	59	80	66	66	57	70	56	57	59	54	56	54	0	50	62	24	837,500$/2yrs
Jonathan Gruden	45	C/LW	100.00	56	56	64	58	59	65	64	59	65	57	59	60	54	56	54	0	50	62	23	802,500$/2yrs
Curtis Hall	20	C	100.00	54	55	67	56	70	62	61	55	70	55	54	60	54	56	54	0	50	60	23	925,000$/2yrs
Reilly Walsh	8	D	100.00	55	56	66	61	61	68	66	61	40	60	57	61	54	58	55	0	50	63	24	925,000$/2yrs
Ryan Merkley	6	D	100.00	58	50	71	65	63	67	63	58	40	61	56	62	54	56	55	0	50	63	23	1,163,333$/1yrs
Alex Peters	0	D	100.00	56	57	64	57	70	61	61	56	40	56	56	63	54	63	58	0	50	62	27	750,000$/1yrs
Nikita Okhotiuk	82	D	100.00	62	52	68	56	66	63	60	55	40	58	56	66	54	56	54	0	50	62	23	905,000$/2yrs
Jordan Spence	53	D	100.00	56	55	67	61	59	64	62	61	40	62	55	60	54	55	53	0	50	62	23	919,167$/2yrs
Nick Cicek	59	D	100.00	59	58	67	58	69	64	61	56	40	60	54	63	54	56	54	0	50	62	23	835,000$/2yrs
Vladislav Kolyachonok	92	D	100.00	55	54	66	58	65	66	64	57	40	57	55	62	54	55	53	0	50	61	22	905,000$/2yrs
Scratches
Akil Thomas	41	C/RW	100.00	55	54	67	56	60	58	57	55	66	55	56	60	56	56	54	0	50	60	24	910,833$/2yrs
Yushiroh Hirano	0	RW	100.00	55	54	67	55	69	58	58	55	55	54	55	60	54	65	59	0	50	60	28	750,000$/1yrs
Olle Lycksell (R)	0	C/LW/RW	100.00	52	50	65	58	56	62	58	57	51	58	55	57	51	55	52	0	50	60	24	837,500$/3yrs
Ryan Chyzowski	13	C/LW	100.00	54	55	67	56	58	60	59	54	55	54	55	59	54	56	54	0	50	59	23	750,000$/1yrs
Shane Wright (R)	0	C	100.00	55	45	69	51	67	57	53	51	60	60	55	57	52	49	51	0	50	59	20	3,980,833$/4yrs
Marco Kasper (R)	0	C	100.00	54	38	84	52	67	68	56	48	48	56	50	57	51	51	55	0	50	58	20	1,918,333$/4yrs
William Villeneuve (R)	0	D	100.00	55	54	62	56	60	61	60	57	44	57	55	60	54	54	53	0	50	60	22	817,778$/2yrs
Will Reilly	44	D	100.00	55	55	67	56	68	60	59	55	40	55	54	60	54	62	57	0	50	60	26	750,000$/1yrs

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
Kevin Mandolese	70	97.00	59	58	59	73	64	57	65	60	61	58	62	56	53	0	50	62	23	861,667$/2yrs
Filip Lindberg	31	100.00	56	58	58	64	65	54	67	58	59	57	60	58	54	0	50	61	25	925,000$/1yrs
Scratches
Sebastian Cossa	0	100.00	51	52	52	73	61	51	60	51	52	52	62	49	48	0	50	56	21	1,713,333$/3yrs

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Félix Potvin	75	75	75	75	75	75	75	Can	52	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	Trey Fix-Wolansky	Marlies (TOR)	RW	76	26	54	80	16	70	30	108	261	61	215	9.96%	10	19.06	11	21	32	0	0	0	116	3	1	46.30%	0	0	1.05	2	2	0.98
2	Rudolfs Balcers	Marlies (TOR)	LW/RW	82	29	44	73	15	56	0	116	278	73	234	10.43%	20	18.60	4	12	16	1	0	1	103	4	2	48.76%	0	0	0.89	0	0	0.90
3	Philip Tomasino	Marlies (TOR)	C/LW/RW	81	35	32	67	10	30	0	148	315	101	229	11.11%	33	21.96	10	4	14	0	0	0	234	4	2	42.24%	2	0	0.83	1	3	0.96
4	Jonatan Berggren	Marlies (TOR)	C/LW/RW	67	31	32	63	10	28	0	115	282	81	212	10.99%	14	21.31	4	10	14	0	1	1	169	3	3	45.44%	1	2	0.94	0	3	1.05
5	Ryan Merkley	Marlies (TOR)	D	82	16	45	61	17	72	0	180	151	51	94	10.60%	127	22.65	9	12	21	0	1	1	221	2	0	0.00%	1	0	0.74	0	0	0.70
6	Nick Cicek	Marlies (TOR)	D	82	10	41	51	6	96	10	172	115	44	102	8.70%	93	20.45	7	16	23	0	0	0	180	3	0	0.00%	0	0	0.62	0	0	0.47
7	Curtis Douglas	Marlies (TOR)	C	82	19	27	46	-2	20	0	99	139	42	98	13.67%	11	11.69	11	17	28	0	0	0	67	1	0	55.98%	0	0	0.56	0	1	0.52
8	Jordan Spence	Marlies (TOR)	D	76	14	32	46	7	38	0	115	110	42	79	12.73%	68	18.44	8	4	12	0	0	0	132	3	1	0.00%	0	0	0.61	0	0	0.56
9	Gabriel Bourque	Marlies (TOR)	C/LW	79	17	28	45	-8	37	5	100	191	63	143	8.90%	18	15.52	0	3	3	1	0	1	82	3	0	49.02%	0	0	0.57	0	0	0.53
10	Gemel Smith	Marlies (TOR)	C/LW/RW	65	20	23	43	13	45	5	110	178	51	134	11.24%	15	14.86	0	2	2	0	0	0	69	3	1	54.01%	0	0	0.66	1	1	0.71
11	Oskar Steen	Marlies (TOR)	C/RW	79	20	23	43	10	45	5	87	160	55	134	12.50%	14	14.65	0	0	0	0	0	0	0	1	0	55.07%	0	0	0.54	0	0	0.53
12	Nolan Patrick	Marlies (TOR)	C/RW	79	6	37	43	6	28	0	118	149	49	128	4.03%	18	20.13	1	10	11	0	0	0	167	3	0	51.25%	0	0	0.54	0	2	0.51
13	Reilly Walsh	Marlies (TOR)	D	82	11	29	40	10	48	0	137	126	51	87	8.73%	127	23.39	1	8	9	0	0	0	238	3	0	0.00%	0	0	0.49	0	0	0.52
14	Nikita Okhotiuk	Marlies (TOR)	D	82	12	22	34	1	60	0	140	90	20	70	13.33%	91	16.58	4	2	6	0	1	1	96	0	2	0.00%	0	0	0.41	0	0	0.35
15	Vladislav Kolyachonok	Marlies (TOR)	D	67	5	23	28	-1	28	0	74	55	25	43	9.09%	85	17.00	0	0	0	0	2	2	125	2	0	0.00%	0	0	0.42	0	0	0.36
16	Alex Peters	Marlies (TOR)	D	49	5	16	21	3	26	0	38	36	9	21	13.89%	27	10.30	3	2	5	0	0	0	60	1	0	0.00%	0	0	0.43	0	0	0.32
17	Jonathan Gruden	Marlies (TOR)	C/LW	63	6	13	19	-2	6	0	62	75	29	69	8.00%	1	8.10	0	8	8	0	0	0	5	2	0	46.15%	0	0	0.30	0	0	0.31
18	Curtis Hall	Marlies (TOR)	C	57	4	14	18	15	10	0	29	58	10	34	6.90%	4	7.43	0	0	0	0	0	0	1	0	0	54.25%	0	0	0.32	0	0	0.36
19	Olle Lycksell	Marlies (TOR)	C/LW/RW	39	4	9	13	-18	14	0	24	62	19	40	6.45%	7	13.18	0	0	0	0	0	0	8	1	0	52.63%	0	0	0.33	0	0	0.17
20	Yushiroh Hirano	Marlies (TOR)	RW	33	5	4	9	0	13	5	17	34	10	36	14.71%	2	7.76	0	0	0	0	0	0	0	0	0	39.13%	0	0	0.27	0	0	0.24
21	Akil Thomas	Marlies (TOR)	C/RW	52	2	1	3	-6	2	0	15	23	8	18	8.70%	4	4.46	0	0	0	1	0	1	26	0	1	55.56%	0	0	0.06	0	0	0.04
22	Ryan Chyzowski	Marlies (TOR)	C/LW	8	1	2	3	3	0	0	2	13	0	5	7.69%	0	5.48	0	0	0	0	0	0	0	0	0	33.33%	0	0	0.38	0	0	0.52
23	Shane Wright	Marlies (TOR)	C	14	0	1	1	-6	6	0	8	11	3	11	0.00%	0	11.82	0	0	0	0	0	0	0	0	0	54.23%	0	0	0.07	0	0	-0.13
Team Total or Average			1476	298	552	850	99	778	60	2014	2912	897	2236	10.23%	789	16.32	73	131	204	2560	3	5	8	2108	42	13	52.06%	7460	0	0	4	2	0.71	4	12

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	S3
1	Kevin Mandolese	Marlies (TOR)	18	7	6	2	0.909	3.24	999	4	0	54	595	0	0	0.000	0	16	33	0	0
2	Filip Lindberg	Marlies (TOR)	14	6	5	0	0.880	3.95	654	0	0	43	357	0	2	0.000	0	10	34	0	0
3	Sebastian Cossa	Marlies (TOR)	5	1	3	0	0.915	2.96	223	0	0	11	129	0	0	0.000	0	3	7	1	0
Team Total or Average		37	14	14	2	0.900	3.45	1877	4	0	108	1081	0	2	0.000	0	29	74	1	0

Salary

Player Name	POS	Age	Cap Hit	2023-24	2024-25	2025-26	2026-27	2027-28
Akil Thomas	C/RW	24	910,833$	910,833$	775,000$	UFA
Alex Peters	D	27	750,000$	750,000$	UFA
Curtis Douglas	C	24	837,500$	837,500$	837,500$	UFA
Curtis Hall	C	23	925,000$	925,000$	925,000$	UFA
Filip Lindberg	G	25	925,000$	925,000$	UFA
Gabriel Bourque	C/LW	33	750,000$	750,000$	UFA
Gemel Smith	C/LW/RW	30	750,000$	750,000$	UFA
Jonatan Berggren	C/LW/RW	23	925,000$	925,000$	925,000$	UFA
Jonathan Gruden	C/LW	23	802,500$	802,500$	775,000$	UFA
Jordan Spence	D	23	919,167$	919,167$	919,167$	RFA
Kevin Mandolese	G	23	861,667$	861,667$	775,000$	UFA
Marco Kasper	C	20	1,918,333$	1,918,333$	1,918,333$	1,918,333$	1,918,333$	RFA
Nick Cicek	D	23	835,000$	835,000$	835,000$	UFA
Nikita Okhotiuk	D	23	905,000$	905,000$	905,000$	RFA
Nolan Patrick	C/RW	25	1,200,000$	1,200,000$	UFA
Olle Lycksell	C/LW/RW	24	837,500$	875,000$	787,500$	787,500$	UFA
Oskar Steen	C/RW	26	800,000$	800,000$	800,000$	UFA
Philip Tomasino	C/LW/RW	22	1,005,000$	1,005,000$	1,005,000$	RFA
Reilly Walsh	D	24	925,000$	925,000$	775,000$	UFA
Rudolfs Balcers	LW/RW	27	750,000$	750,000$	UFA
Ryan Chyzowski	C/LW	23	750,000$	750,000$	RFA
Ryan Merkley	D	23	1,163,333$	1,163,333$	RFA
Sebastian Cossa	G	21	1,713,333$	1,713,333$	1,713,333$	1,713,333$	RFA
Shane Wright	C	20	3,980,833$	3,980,833$	3,980,833$	3,980,833$	3,980,833$	RFA
Trey Fix-Wolansky	RW	24	750,000$	750,000$	775,000$	775,000$	UFA
Vladislav Kolyachonok	D	22	905,000$	905,000$	905,000$	RFA
Will Reilly	D	26	750,000$	750,000$	UFA
William Villeneuve	D	22	817,778$	817,778$	817,778$	RFA
Yushiroh Hirano	RW	28	750,000$	750,000$	UFA

Lines

Forward Lines
# - Philip Tomasino	# - Nolan Patrick	# - Jonatan Berggren
# - Rudolfs Balcers	# - Oskar Steen	# - Trey Fix-Wolansky
# - Gemel Smith	# - Curtis Hall	# - Gabriel Bourque
# - Philip Tomasino	# - Curtis Douglas	# - Jonatan Berggren

Defensive Pairings
# - Reilly Walsh	# - Ryan Merkley
# - Nick Cicek	# - Jordan Spence
# - Nikita Okhotiuk	# - Vladislav Kolyachonok

1st Power Play Unit
# - Philip Tomasino		# - Nolan Patrick		# - Jonatan Berggren
# - Reilly Walsh			# - Ryan Merkley

2nd Power Play Unit
# - Rudolfs Balcers		# - Curtis Douglas		# - Trey Fix-Wolansky
# - Nick Cicek			# - Jordan Spence

Goalies
# - Kevin Mandolese		# - Filip Lindberg

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	Checkers	4	4	0	0	0	0	20	11	9	8	1.000	20	36	56	0	0	101	114	82	5	154	958	935	1006	25	138	41	45	100	14	4	28.57%	15	3	80.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	66.7%	13.0%	92.0%	105.0	LUCKY
2	Americans	3	2	0	1	0	0	12	7	5	6	1.000	12	22	34	0	0	101	114	82	5	108	958	935	1006	25	103	30	32	56	13	4	30.77%	14	4	71.43%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	72.7%	11.1%	93.2%	104.3	LUCKY
3	Binghamton Senateurs	4	1	3	0	0	0	14	17	-3	2	0.250	14	25	39	0	0	101	114	82	5	114	958	935	1006	25	135	39	46	84	13	3	23.08%	22	7	68.18%	1	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	52.4%	12.3%	87.4%	99.7	FUN
4	Bears	3	3	0	0	0	0	13	5	8	6	1.000	13	24	37	0	0	101	114	82	5	119	958	935	1006	25	66	18	20	55	12	3	25.00%	10	2	80.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	76.9%	10.9%	92.4%	103.3	LUCKY
5	Rockets	4	0	2	0	2	0	14	20	-6	2	0.250	14	28	42	0	0	101	114	82	5	130	958	935	1006	25	147	43	26	104	8	3	37.50%	11	2	81.82%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	37.9%	10.8%	86.4%	97.2	FUN
6	Providence Bruins	4	2	2	0	0	0	16	14	2	4	0.500	16	31	47	0	0	101	114	82	5	145	958	935	1006	25	118	31	22	99	10	4	40.00%	9	2	77.78%	1	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	50.0%	11.0%	88.1%	99.2	FUN
7	Wolves	3	2	1	0	0	0	11	11	0	4	0.667	11	20	31	0	0	101	114	82	5	112	958	935	1006	25	100	27	25	86	11	5	45.45%	10	0	100.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	35.3%	9.8%	89.0%	98.8	FUN
8	Eagles	2	2	0	0	0	0	6	2	4	4	1.000	6	11	17	0	0	101	114	82	5	66	958	935	1006	25	68	13	17	60	5	1	20.00%	6	0	100.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	71.4%	9.1%	97.1%	106.1	LUCKY
9	Phantoms	3	2	0	0	0	1	9	6	3	6	1.000	9	15	24	0	1	101	114	82	5	114	958	935	1006	25	92	27	22	71	11	3	27.27%	10	3	70.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	66.7%	7.9%	93.5%	101.4	DULL
10	Wolf Pack	3	1	1	0	1	0	12	13	-1	3	0.500	12	21	33	0	0	101	114	82	5	101	958	935	1006	25	123	31	28	75	9	2	22.22%	12	4	66.67%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	52.6%	11.9%	89.4%	101.3	FUN
11	islanders	3	1	1	0	0	1	11	10	1	4	0.667	11	20	31	0	0	101	114	82	5	106	958	935	1006	25	125	30	24	69	14	5	35.71%	11	2	81.82%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	42.9%	10.4%	92.0%	102.4	LUCKY
12	IceHogs	2	0	2	0	0	0	4	11	-7	0	0.000	4	7	11	0	0	101	114	82	5	63	958	935	1006	25	80	17	15	53	10	1	10.00%	5	2	60.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	25.0%	6.3%	86.3%	92.6	Unlucky
13	Griffins	4	2	1	0	1	0	11	11	0	5	0.625	11	20	31	0	1	101	114	82	5	147	958	935	1006	25	122	47	26	112	22	4	18.18%	13	1	92.31%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	41.2%	7.5%	91.0%	98.5	Unlucky
14	Monsters	3	1	2	0	0	0	9	11	-2	2	0.333	9	18	27	1	0	101	114	82	5	82	958	935	1006	25	94	37	24	71	12	2	16.67%	11	1	90.91%	1	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	41.2%	11.0%	88.3%	99.3	FUN
15	Barracuda	2	1	1	0	0	0	9	9	0	2	0.500	9	18	27	1	0	101	114	82	5	74	958	935	1006	25	74	17	23	61	6	0	0.00%	9	2	77.78%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	56.3%	12.2%	87.8%	100.0	FUN
16	Condors	2	2	0	0	0	0	9	5	4	4	1.000	9	17	26	0	0	101	114	82	5	70	958	935	1006	25	53	20	30	52	7	2	28.57%	8	1	87.50%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	63.6%	12.9%	90.6%	103.4	FUN
17	Iowa Wild	2	2	0	0	0	0	6	2	4	4	1.000	6	12	18	0	1	101	114	82	5	60	958	935	1006	25	49	14	24	44	5	0	0.00%	8	0	100.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	75.0%	10.0%	95.9%	105.9	LUCKY
18	Reign	2	1	1	0	0	0	7	6	1	2	0.500	7	14	21	0	0	101	114	82	5	73	958	935	1006	25	67	18	32	56	10	3	30.00%	15	3	80.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	57.1%	9.6%	91.0%	100.6	FUN
19	Thunderbirds	2	0	2	0	0	0	3	8	-5	0	0.000	3	5	8	0	0	101	114	82	5	64	958	935	1006	25	63	19	16	39	7	1	14.29%	7	2	71.43%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	25.0%	4.7%	87.3%	92.0	Unlucky
20	Wranglers	2	2	0	0	0	0	12	3	9	4	1.000	12	21	33	0	0	101	114	82	5	86	958	935	1006	25	90	16	27	63	6	1	16.67%	11	1	90.91%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	84.6%	14.0%	96.7%	110.6	LUCKY
21	Gulls	2	1	1	0	0	0	12	12	0	2	0.500	12	19	31	0	0	101	114	82	5	94	958	935	1006	25	71	23	14	47	11	4	36.36%	6	4	33.33%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	50.0%	12.8%	83.1%	95.9	FUN
22	Texas Stars	2	0	1	0	0	1	8	10	-2	2	0.500	8	13	21	0	0	101	114	82	5	53	958	935	1006	25	89	22	33	36	5	1	20.00%	13	2	84.62%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	46.7%	15.1%	88.8%	103.9	FUN
23	Canucks	2	1	1	0	0	0	11	8	3	2	0.500	11	21	32	0	0	101	114	82	5	69	958	935	1006	25	87	30	21	46	10	3	30.00%	8	2	75.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	57.1%	15.9%	90.8%	106.7	FUN
24	Comets	3	2	1	0	0	0	9	8	1	4	0.667	9	18	27	0	0	101	114	82	5	108	958	935	1006	25	93	26	26	73	10	2	20.00%	11	2	81.82%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	53.8%	8.3%	91.4%	99.7	DULL
25	W-B/Scranton Penguins	3	1	2	0	0	0	12	12	0	2	0.333	12	22	34	0	0	101	114	82	5	119	958	935	1006	25	109	37	37	69	17	7	41.18%	16	4	75.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	38.5%	10.1%	89.0%	99.1	FUN
26	Roadrunners	2	1	1	0	0	0	8	8	0	2	0.500	8	12	20	0	0	101	114	82	5	72	958	935	1006	25	66	18	12	41	7	2	28.57%	6	3	50.00%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	54.5%	11.1%	87.9%	99.0	FUN
27	Crunch	3	2	1	0	0	0	11	11	0	4	0.667	11	20	31	0	0	101	114	82	5	110	958	935	1006	25	97	23	30	73	14	1	7.14%	14	5	64.29%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	62.5%	10.0%	88.7%	98.7	FUN
28	Admirals	2	0	2	0	0	0	1	7	-6	0	0.000	1	2	3	0	0	101	114	82	5	62	958	935	1006	25	71	19	16	51	5	0	0.00%	8	3	62.50%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	20.0%	1.6%	90.1%	91.8	Unlucky
29	Moose	2	0	1	0	1	0	5	8	-3	1	0.250	5	10	15	0	0	101	114	82	5	70	958	935	1006	25	69	14	22	56	12	0	0.00%	11	2	81.82%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	45.5%	7.1%	88.4%	95.5	Unlucky
30	Silver Knights	2	2	0	0	0	0	10	5	5	4	1.000	10	19	29	0	0	101	114	82	5	81	958	935	1006	25	44	18	33	67	9	0	0.00%	7	1	85.71%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	71.4%	12.3%	88.6%	101.0	FUN
31	Firebirds	2	0	1	0	1	0	6	9	-3	1	0.250	6	11	17	0	0	101	114	82	5	86	958	935	1006	25	72	24	18	45	9	2	22.22%	8	3	62.50%	0	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	40.0%	7.0%	87.5%	94.5	Unlucky
	_Vs Division	26	13	9	1	3	0	98	91	7	31	0.596	98	182	280	0	1	101	114	82	5	908	958	935	1006	25	860	254	227	628	94	23	24.47%	98	24	75.51%	2	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	52.8%	10.8%	89.4%	100.2	FUN
	_Vs Conference	50	26	17	1	4	2	184	167	17	62	0.620	184	340	524	1	2	101	114	82	5	1769	958	935	1006	25	1662	487	433	1197	190	52	27.37%	189	42	77.78%	3	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	51.4%	10.4%	90.0%	100.4	FUN
	_Since Last GM Reset	82	41	31	1	6	3	301	280	21	96	0.585	301	552	853	2	3	101	114	82	5	2912	958	935	1006	25	2775	789	786	2014	314	73	23.25%	325	73	77.54%	3	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	52.4%	10.3%	89.9%	100.2	FUN
	Total	82	41	31	1	6	3	301	280	21	96	0.585	301	552	853	2	3	101	114	82	5	2912	958	935	1006	25	2775	789	786	2014	314	73	23.25%	325	73	77.54%	3	1545	2967	52.07%	1603	3057	52.44%	736	1404	52.42%	1967	1331	1887	638	1095	550	52.4%	10.3%	89.9%	100.2	FUN

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	2967
Neutral Zone Start	1404
Defensive Zone Start	3057

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	3884
Faceoffs Lost	3544

	Team Average Shots after	League Average Shots after
1st Period	11.7	9.57
2nd Period	23.1	20.31
3rd Period	35.4	30.68
Overtime	35.7	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.2	0.64
2nd Period	2.6	1.65
3rd Period	3.6	2.67
Overtime	3.7	2.83


Even Strenght Goal	223
PP Goal	73
PK Goal	3
Empty Net Goal	2

	Home	Away
Win	23	22
Lost	15	16
Overtime Lost	3	3


PP Attempt	314
PP Goal	73
PK Attempt	325
PK Goal Against	73

	Home
Shots For	35.5
Shots Against	33.8
Goals For	3.7
Goals Against	3.4
Hits	24.6
Shots Blocked	9.6
Pim	9.6

Schedule

Date	Matchup			Result	Detail
Wed, Oct 18	MAR	@	LVL	MAR2,LVL5	RECAP
Thu, Oct 19	HER	@	MAR	HER1,MAR4	RECAP
Sat, Oct 21	BNG	@	MAR	BNG4,MAR3	RECAP
Mon, Oct 23	TUC	@	MAR	TUC4,MAR5	RECAP
Thu, Oct 26	TEX	@	MAR	TEX7,MAR4	RECAP
Sat, Oct 28	MAR	@	MAN	MAR3,MAN4 (OT)	RECAP
Mon, Oct 30	MAR	@	HEN	MAR4,HEN1	RECAP
Thu, Nov 2	MAR	@	SJB	MAR6,SJB4	RECAP
Sat, Nov 4	MAR	@	ONT	MAR1,ONT2	RECAP
Sun, Nov 5	MAR	@	SDG	MAR6,SDG8	RECAP
Wed, Nov 8	LEV	@	MAR	LEV3,MAR4 (SO)	RECAP
Sat, Nov 11	PRO	@	MAR	PRO2,MAR5	RECAP
Sun, Nov 12	MAR	@	CHW	MAR2,CHW6	RECAP
Tue, Nov 14	HEN	@	MAR	HEN4,MAR6	RECAP
Fri, Nov 17	WBS	@	MAR	WBS5,MAR4	RECAP
Sat, Nov 18	ABB	@	MAR	ABB5,MAR4	RECAP
Tue, Nov 21	MAR	@	WBS	MAR4,WBS6	RECAP
Thu, Nov 23	UTI	@	MAR	UTI4,MAR2	RECAP
Sat, Nov 25	ROC	@	MAR	ROC3,MAR4 (OT)	RECAP
Mon, Nov 27	BRI	@	MAR	BRI4,MAR5 (SO)	RECAP
Wed, Nov 29	MAR	@	UTI	MAR4,UTI3	RECAP
Fri, Dec 1	MAR	@	IOW	MAR3,IOW0	RECAP
Sat, Dec 2	MAR	@	WBS	MAR4,WBS1	RECAP
Mon, Dec 4	MAR	@	GRG	MAR4,GRG3	RECAP
Wed, Dec 6	SJB	@	MAR	SJB5,MAR3	RECAP
Sat, Dec 9	MAR	@	SYR	MAR5,SYR2	RECAP
Tue, Dec 12	MAR	@	TEX	MAR4,TEX3 (SO)	RECAP
Thu, Dec 14	ONT	@	MAR	ONT4,MAR6	RECAP
Sat, Dec 16	WRA	@	MAR	WRA2,MAR4	RECAP
Tue, Dec 19	SDG	@	MAR	SDG4,MAR6	RECAP
Thu, Dec 21	MAR	@	HAR	MAR3,HAR4	RECAP
Sat, Dec 23	MAR	@	HER	MAR6,HER3	RECAP
Tue, Dec 26	SYR	@	MAR	SYR6,MAR1	RECAP
Thu, Dec 28	LEV	@	MAR	LEV3,MAR4	RECAP
Tue, Jan 2	MAR	@	SPR	MAR0,SPR2	RECAP
Thu, Jan 4	MAR	@	TUC	MAR3,TUC4	RECAP
Sat, Jan 6	MAR	@	EAG	MAR2,EAG1	RECAP
Tue, Jan 9	SPR	@	MAR	SPR6,MAR3	RECAP
Thu, Jan 11	FCV	@	MAR	FCV4,MAR2	RECAP
Sat, Jan 13	GRG	@	MAR	GRG0,MAR2	RECAP
Sun, Jan 14	MAR	@	LEV	MAR1,LEV0	RECAP
Wed, Jan 17	MIL	@	MAR	MIL4,MAR0	RECAP
Thu, Jan 18	MAR	@	GRG	MAR3,GRG4 (OT)	RECAP
Sat, Jan 20	MAR	@	PRO	MAR3,PRO5	RECAP
Tue, Jan 23	CHA	@	MAR	CHA4,MAR7	RECAP
Thu, Jan 25	MAN	@	MAR	MAN4,MAR2	RECAP
Sat, Jan 27	MAR	@	LVL	MAR4,LVL5	RECAP
Mon, Jan 29	BRI	@	MAR	BRI1,MAR2	RECAP
Wed, Jan 31	HAR	@	MAR	HAR5,MAR4 (OT)	RECAP
Fri, Feb 2	BNG	@	MAR	BNG4,MAR6	RECAP
Sun, Feb 4	HER	@	MAR	HER1,MAR3	RECAP
Wed, Feb 7	PRO	@	MAR	PRO3,MAR5	RECAP
Fri, Feb 16	MAR	@	CLE	MAR4,CLE3	RECAP
Sat, Feb 17	CLE	@	MAR	CLE2,MAR1	RECAP
Wed, Feb 21	RFD	@	MAR	RFD7,MAR1	RECAP
Sat, Feb 24	LVL	@	MAR	LVL4,MAR3 (OT)	RECAP
Sun, Feb 25	MAR	@	RFD	MAR3,RFD4	RECAP
Tue, Feb 27	MAR	@	ROC	MAR4,ROC2	RECAP
Fri, Mar 1	IOW	@	MAR	IOW2,MAR3	RECAP
Trade Deadline --- Trades can�t be done after this day is simulated!
Sun, Mar 3	MAR	@	FCV	MAR4,FCV5 (OT)	RECAP
Wed, Mar 6	MAR	@	BAK	MAR5,BAK3	RECAP
Thu, Mar 7	MAR	@	WRA	MAR8,WRA1	RECAP
Sat, Mar 9	MAR	@	ABB	MAR7,ABB3	RECAP
Tue, Mar 12	MAR	@	UTI	MAR3,UTI1	RECAP
Sat, Mar 16	BAK	@	MAR	BAK2,MAR4	RECAP
Mon, Mar 18	ROC	@	MAR	ROC2,MAR4	RECAP
Wed, Mar 20	EAG	@	MAR	EAG1,MAR4	RECAP
Fri, Mar 22	CHW	@	MAR	CHW3,MAR5	RECAP
Sat, Mar 23	MAR	@	BNG	MAR2,BNG4	RECAP
Tue, Mar 26	MAR	@	BRI	MAR4,BRI5	RECAP
Thu, Mar 28	MAR	@	CHA	MAR4,CHA2	RECAP
Sat, Mar 30	MAR	@	CHW	MAR4,CHW2	RECAP
Sun, Mar 31	MAR	@	MIL	MAR1,MIL3	RECAP
Wed, Apr 3	CHA	@	MAR	CHA2,MAR4	RECAP
Sat, Apr 6	MAR	@	BNG	MAR3,BNG5	RECAP
Sun, Apr 7	GRG	@	MAR	GRG4,MAR2	RECAP
Tue, Apr 9	CLE	@	MAR	CLE6,MAR4	RECAP
Thu, Apr 11	MAR	@	PRO	MAR3,PRO4	RECAP
Sat, Apr 13	LVL	@	MAR	LVL6,MAR5 (OT)	RECAP
Mon, Apr 15	MAR	@	CHA	MAR5,CHA3	RECAP
Tue, Apr 16	MAR	@	SYR	MAR5,SYR3	RECAP
Thu, Apr 18	MAR	@	HAR	MAR5,HAR4	RECAP

Finance

Salary Cap
Players Total Salaries	Retained Salary	Total Cap Hit	Estimated Cap Space
3,015,027$	0$	0$	75,000,000$

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

Arena Capacity - Ticket Price Attendance - %

Arena Capacity	2000	1000
Ticket Price	35$	15$	$	$	$
Attendance	60240	38768
Attendance PCT	73.46%	94.56%	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	2415 - 80.49%	97,756$	4,007,979$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
3,015,027$	3,011,277$	0$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total
3,047,814$	0$	3,019,609$	0$

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	15,953$	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

Marlies45-31-6, 96pts

53Final

Crunch33-41-8, 74pts

Marlies45-31-6, 96pts

54Final

Wolf Pack39-34-9, 87pts

Marlies45-31-6, 96pts

Fri, Apr 19

Wolf Pack39-34-9, 87pts

Bears27-50-5, 59pts

Fri, Oct 20

Marlies45-31-6, 96pts

Binghamton Senateurs53-21-8, 114pts

Sun, Oct 22

Marlies45-31-6, 96pts

TRANSACTIONS

Team Info


	Head Coach	Félix Potvin
	Division	ATLANTIQUE
	City	Toronto
	Stadium Capacity	3,000

Marlies Affiliation


	General Manager
	Head Coach	Eric Lindros
	Stadium
	Capacity	17,000

Team Leaders

GOALS Philip Tomasino Marlies	35 GOALS
POINTS Trey Fix-Wolansky Marlies	80 POINTS
WINS Felix Sandstrom Marlies	31 WINS
Expanded Player Leaderboard

Team Stats

Goals For 301 3.67 GFG	Goals Against 280 3.41 GAA
Power Play Percentage 23.2% 73 GF	Penalty Kill Percentage 77.5% 73 GA
Expanded Team Stats

Team Captain - Alternate Captains

Captain

Alternate Captain