Lightning
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Blood Miners
0-0-0, 0pts

Day 2

Crunch
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Crunch
0-0-0, 0pts

Day 4

Bills
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Rocket
0-0-0, 0pts

Day 5

Crunch
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Felix - Interims GM
	Coach	Ryan Mougenel
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	8,500
	Attendance
	Season Tickets	850
Roster Info
	Pro Team	25
	Farm Team	21
	Contract Limit	46 / 65
	Prospects	26

Show or Hide Columns

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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Aleksi Kivioja	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	48	60	0	99	0	0	22	2	650,000$
2	Ross Colton	X	X	X		100.00	76	52	94	79	73	79	92	73	65	70	68	70	66	56	65	0	95	0	0	29	1	2,450,000$
3	Jaden Lipinski	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	50	60	0	99	0	0	21	2	900,000$
4	Hunter McKown	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	23	1	800,000$
5	Andre Lee	X	X	X		100.00	70	50	88	70	80	77	93	66	61	65	66	72	65	48	57	0	99	0	0	25	1	771,750$
6	Nicholas Abruzzese	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	52	59	0	99	0	0	26	2	1,618,219$
7	Antonio Stranges	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	54	59	0	97	0	0	23	1	866,250$
8	Tyler Boucher		X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	48	59	0	99	0	0	22	2	1,653,750$
9	Brett Harrison	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	52	59	0	98	0	0	22	1	1,074,938$
10	Tristan Broz	X				100.00	60	50	87	71	77	78	85	64	75	65	63	65	65	42	57	0	99	0	1	23	2	1,312,500$
11	Rasmus Kumpulainen	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	1	20	1	975,000$
12	Ethan Gauthier			X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	54	59	0	99	0	0	20	2	1,250,000$
13	Gustav Stjernberg				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	50	61	0	99	0	0	23	1	790,000$
14	Chris Hedden				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	23	1	800,000$
15	Hunter Mayo				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	21	1	650,000$
16	Nate Tivey				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	21	1	650,000$
17	Dmitriy Simashev				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	52	59	0	98	0	0	20	2	1,500,000$
18	Maveric Lamoureux				X	100.00	68	50	84	68	76	81	92	63	25	64	62	73	65	67	52	0	96	0	0	21	1	1,250,000$
Scratches
1	Reese Johnson	X				100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	64	67	0	95	0	0	27	1	1,905,000$
2	Cameron Lund	X	X	X		100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	52	59	0	99	0	0	21	2	1,500,000$
3	Grayden Siepmann				X	100.00	60	60	60	60	60	70	70	60	60	60	60	60	60	46	59	0	99	0	0	21	1	650,000$

	TEAM AVERAGE					100.00	62	58	65	62	63	72	74	61	59	61	61	62	61	51	59	0	98	0

Show or Hide Columns

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Cayden Primeau	100.00	59	71	69	83	72	61	64	61	59	59	82	55	66	0	99	0	0	26	2	1,642,500$
2	Alexander Tracy	100.00	60	70	70	60	60	60	60	60	60	60	60	49	61	0	96	0	0	24	2	840,000$
Scratches
1	Kyle Chauvette	100.00	60	70	70	60	60	60	60	60	60	60	60	51	64	0	99	0	0	24	2	960,750$
2	Yaniv Perets	100.00	60	70	70	60	60	60	60	60	60	60	60	58	66	0	99	0	0	25	1	800,000$

	TEAM AVERAGE	100.00	60	70	70	66	63	60	61	60	60	60	66	53	64	0	98	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Ryan Mougenel	65	65	65	65	62	67	1	CAN	49	1	600,000$

Show or Hide Columns

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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Columns

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

Show or Hide Columns

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	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10
Aleksi Kivioja	Crunch (TBL)	C/LW/RW	22	2003-08-02	FIN	No	220 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2026-03-21	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Alexander Tracy	Crunch (TBL)	G	24	2001-05-04	USA	No	187 Lbs	6 ft0	No	No	Free Agent		No	No	2	2026-08-08	False	False	Pro & Farm	840,000$	840,000$	84,000$	84,000$	No	840,000$	-	-	-	-	-	-	-	-	840,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Andre Lee	Crunch (TBL)	C/LW/RW	25	2000-07-26	SWE	No	210 Lbs	6 ft4	No	No	N/A		No	No	1	2025-09-13	False	False	Pro & Farm	771,750$	771,750$	77,175$	77,175$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Antonio Stranges	Crunch (TBL)	C/LW/RW	23	2002-02-05	USA	No	181 Lbs	5 ft10	No	No	N/A		No	No	1	2025-09-13	False	False	Pro & Farm	866,250$	866,250$	86,625$	86,625$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Brett Harrison	Crunch (TBL)	C	22	2003-06-07	CAN	No	185 Lbs	6 ft2	No	No	N/A		No	No	1	2026-08-08	False	False	Pro & Farm	1,074,938$	1,074,938$	107,494$	107,494$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Cameron Lund	Crunch (TBL)	C/LW/RW	21	2004-06-07	USA	No	192 Lbs	6 ft0	No	No	Prospect		No	No	2	2025-08-20	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Cayden Primeau	Crunch (TBL)	G	26	1999-08-11	USA	No	205 Lbs	6 ft3	No	No	Trade	2025-10-21	No	No	2	2026-08-08	False	False	Pro & Farm	1,642,500$	1,642,500$	164,250$	164,250$	No	1,642,500$	-	-	-	-	-	-	-	-	1,642,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Chris Hedden	Crunch (TBL)	D	23	2002-09-20	USA	No	185 Lbs	6 ft0	No	No	N/A		No	No	1	2026-08-08	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Dmitriy Simashev	Crunch (TBL)	D	20	2005-02-04	RUS	No	203 Lbs	6 ft3	No	No	Prospect		No	No	2	2025-08-20	False	False	Pro & Farm	1,500,000$	1,500,000$	150,000$	150,000$	No	1,500,000$	-	-	-	-	-	-	-	-	1,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Ethan Gauthier	Crunch (TBL)	RW	20	2005-01-26	USA	No	183 Lbs	5 ft10	No	No	Trade	2026-03-20	No	No	2	2025-08-31	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Grayden Siepmann	Crunch (TBL)	D	21	2004-05-26	CAN	No	181 Lbs	5 ft11	No	No	Free Agent		No	No	1	2025-07-08	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Gustav Stjernberg	Crunch (TBL)	D	23	2002-10-12	SWE	No	209 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2026-03-21	False	False	Pro & Farm	790,000$	790,000$	79,000$	79,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Hunter Mayo	Crunch (TBL)	D	21	2004-05-07	CAN	No	196 Lbs	6 ft1	No	No	Free Agent		No	No	1	2025-07-08	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Hunter McKown	Crunch (TBL)	C	23	2002-08-18	USA	No	205 Lbs	6 ft1	No	No	Trade	2025-10-21	No	No	1	2026-08-08	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jaden Lipinski	Crunch (TBL)	C/LW/RW	21	2004-12-02	USA	No	209 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2026-08-06	False	False	Pro & Farm	900,000$	900,000$	90,000$	90,000$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Kyle Chauvette	Crunch (TBL)	G	24	2001-10-05	USA	No	190 Lbs	5 ft11	No	No	Assign Manually		No	No	2	2026-08-08	False	False	Pro & Farm	960,750$	960,750$	96,075$	96,075$	No	960,750$	-	-	-	-	-	-	-	-	960,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Maveric Lamoureux	Crunch (TBL)	D	21	2004-01-13	CAN	No	196 Lbs	6 ft6	No	No	Assign Manually		No	No	1	2025-10-28	False	False	Pro & Farm	1,250,000$	1,250,000$	125,000$	125,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nate Tivey	Crunch (TBL)	D	21	2004-03-27	CAN	No	205 Lbs	6 ft5	No	No	Free Agent		No	No	1	2025-07-08	False	False	Pro & Farm	650,000$	650,000$	65,000$	65,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nicholas Abruzzese	Crunch (TBL)	C/LW/RW	26	1999-06-04	USA	No	183 Lbs	5 ft11	No	No	N/A		No	No	2	2026-08-08	False	False	Pro & Farm	1,618,219$	1,618,219$	161,822$	161,822$	No	1,618,219$	-	-	-	-	-	-	-	-	1,618,219$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Rasmus Kumpulainen	Crunch (TBL)	C	20	2005-08-08	FIN	No	205 Lbs	6 ft4	No	No	Prospect		No	No	1	2024-08-31	False	False	Pro & Farm	975,000$	975,000$	97,500$	97,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Reese Johnson	Crunch (TBL)	C	27	1998-07-10	CAN	No	193 Lbs	6 ft1	No	No	N/A		No	No	1	2025-09-13	False	False	Pro & Farm	1,905,000$	1,905,000$	190,500$	190,500$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Ross Colton	Crunch (TBL)	C/LW/RW	29	1996-09-11	USA	No	194 Lbs	6 ft0	No	No	Trade	2026-09-28	No	No	1		False	False	Pro & Farm	2,450,000$	2,450,000$	245,000$	245,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Tristan Broz	Crunch (TBL)	C	23	2002-10-10	USA	No	204 Lbs	6 ft0	No	No	Prospect		No	No	2	2026-08-08	False	False	Pro & Farm	1,312,500$	1,312,500$	131,250$	131,250$	No	1,312,500$	-	-	-	-	-	-	-	-	1,312,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Tyler Boucher	Crunch (TBL)	LW/RW	22	2003-01-16	USA	No	205 Lbs	6 ft1	No	No	N/A		No	No	2	2026-08-08	False	False	Pro & Farm	1,653,750$	1,653,750$	165,375$	165,375$	No	1,653,750$	-	-	-	-	-	-	-	-	1,653,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Yaniv Perets	Crunch (TBL)	G	25	2000-03-04	CAN	No	181 Lbs	6 ft1	No	No	Trade	2025-10-23	No	No	1	2026-08-08	False	False	Pro & Farm	800,000$	800,000$	80,000$	80,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	22.92	196 Lbs	6 ft1	1.44	1,130,426$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Aleksi Kivioja	Tristan Broz	Andre Lee	28	1	2	2
2	Antonio Stranges	Brett Harrison	Ethan Gauthier	28	1	2	2
3	Jaden Lipinski	Hunter McKown	Nicholas Abruzzese	25	1	2	2
4	Ross Colton	Rasmus Kumpulainen	Tyler Boucher	19	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Stjernberg	Chris Hedden	34	1	2	2
2	Hunter Mayo	Nate Tivey	33	1	2	2
3	Dmitriy Simashev	Maveric Lamoureux	33	1	2	2
4	Dmitriy Simashev	Maveric Lamoureux	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Aleksi Kivioja	Tristan Broz	Andre Lee	50	1	2	2
2	Antonio Stranges	Brett Harrison	Ethan Gauthier	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Stjernberg	Chris Hedden	50	1	2	2
2	Hunter Mayo	Nate Tivey	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ross Colton	Aleksi Kivioja	50	1	2	2
2	Andre Lee	Nicholas Abruzzese	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Gustav Stjernberg	Chris Hedden	50	1	2	2
2	Maveric Lamoureux	Dmitriy Simashev	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Tristan Broz	50	1	2	2	Gustav Stjernberg	Chris Hedden	50	1	2	2
2	Brett Harrison	50	1	2	2	Maveric Lamoureux	Dmitriy Simashev	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tristan Broz	Antonio Stranges	50	1	2	2
2	Andre Lee	Ross Colton	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dmitriy Simashev	Maveric Lamoureux	50	1	2	2
2	Hunter Mayo	Nate Tivey	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Aleksi Kivioja	Ross Colton	Jaden Lipinski	Gustav Stjernberg	Chris Hedden

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Aleksi Kivioja	Ross Colton	Jaden Lipinski	Gustav Stjernberg	Chris Hedden

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nicholas Abruzzese, Antonio Stranges, Tyler Boucher	Nicholas Abruzzese, Antonio Stranges	Nicholas Abruzzese

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Nate Tivey, Dmitriy Simashev, Maveric Lamoureux	Nate Tivey	Nate Tivey, Dmitriy Simashev

Penalty Shots
Aleksi Kivioja, Ross Colton, Jaden Lipinski, Andre Lee, Nicholas Abruzzese

Goalie
#1 : Cayden Primeau, #2 : Alexander Tracy

Custom OT Lines Forwards
, Ethan Gauthier, , Antonio Stranges, , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0%	0	0	0%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0%	0	0	0%	0	0	0%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games Show or Hide Columns

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

Day	Game	Visitor Team	Score	Home Team	Score
2	14	Blood Miners	-	Crunch	-
4	27	Crunch	-	Bills	-
5	42	Rocket	-	Crunch	-
6	44	Crunch	-	Bulldogs	-
7	52	Crunch	-	Gorillas	-
10	82	Crunch	-	Gorillas	-
12	95	White Wolves	-	Crunch	-
14	114	Crunch	-	Roadrunners	-
16	127	Redhawks	-	Crunch	-
18	141	Crunch	-	Griffins	-
20	160	Bills	-	Crunch	-
24	183	Blood Miners	-	Crunch	-
26	192	Crunch	-	Eagles	-
28	211	Bulldogs	-	Crunch	-
30	225	Crunch	-	Saints	-
32	235	Crunch	-	Griffins	-
34	250	Roadrunners	-	Crunch	-
36	264	Crunch	-	Octopus	-
38	282	Norsemen	-	Crunch	-
40	299	Crunch	-	Bulldogs	-
42	312	Redhawks	-	Crunch	-
44	326	Crunch	-	Saints	-
46	343	Crunch	-	Griffins	-
47	350	Phantoms	-	Crunch	-
51	374	Griffins	-	Crunch	-
53	391	Crunch	-	Roadrunners	-
56	408	Blossom Bytes	-	Crunch	-
58	427	Crunch	-	Redhawks	-
60	441	Griffins	-	Crunch	-
62	458	Crunch	-	Admirals	-
64	470	Saints	-	Crunch	-
67	496	Pens	-	Crunch	-
69	507	Crunch	-	Wolves	-
71	528	Wolves	-	Crunch	-
73	540	Crunch	-	Eagles	-
75	557	Crunch	-	White Wolves	-
77	568	Octopus	-	Crunch	-
79	588	Crunch	-	White Wolves	-
81	595	Crunch	-	Whalers	-
82	607	Eagles	-	Crunch	-
86	634	Moose	-	Crunch	-
88	644	Crunch	-	Octopus	-
90	662	Roadrunners	-	Crunch	-
92	680	Crunch	-	Wolf Pack	-
93	690	Crunch	-	Bills	-
95	702	Gorillas	-	Crunch	-
99	729	Reign	-	Crunch	-
101	744	Crunch	-	Reign	-
103	759	Grisards	-	Crunch	-
105	775	Crunch	-	Reign	-
107	791	Bears	-	Crunch	-
109	810	Crunch	-	Mountaineers	-
112	826	Silver Knights	-	Crunch	-
114	841	Crunch	-	Roadrunners	-
116	857	Rams	-	Crunch	-
118	870	Crunch	-	Bulldogs	-
120	884	Crunch	-	Titans	-
121	893	Sens	-	Crunch	-
124	913	Crunch	-	Gorillas	-
126	925	Blood Miners	-	Crunch	-
128	942	Crunch	-	Blood Miners	-
130	959	Bills	-	Crunch	-
131	968	Crunch	-	Blood Miners	-
134	988	Bulldogs	-	Crunch	-
138	1016	Mountaineers	-	Crunch	-
140	1038	Crunch	-	Gorillas	-
141	1045	Crunch	-	Rocket	-
143	1054	White Wolves	-	Crunch	-
146	1079	Crunch	-	Americans	-
147	1085	Gulls	-	Crunch	-
151	1112	Rocket	-	Crunch	-
154	1136	White Wolves	-	Crunch	-
156	1144	Crunch	-	Silver Knights	-
160	1168	Crunch	-	Silver Knights	-
162	1179	Mountaineers	-	Crunch	-
166	1206	Rocket	-	Crunch	-
167	1213	Crunch	-	Bills	-
Trade Deadline --- Trades can’t be done after this day is simulated!
171	1233	Gorillas	-	Crunch	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	5000
Ticket Price	35	15
Attendance	0%	0%
Attendance PCT	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	0 - 0%	0$	0$	8500	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,826,066$	2,826,066$	600,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
19,690$	0$	25	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	174	19,690$	3,426,060$

Crunch Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Crunch Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Crunch Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	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

Crunch Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Crunch Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Crunch
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Felix - Interims GM \| Morale : 99 \| Team Overall : N/A Next Games #14 vs Blood Miners