Lightning
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	Wild 10-1-0, 20pts	8	FINAL	3	Crunch 3-6-1, 7pts

Team Stats
W10	Streak	W1
4-1-0	Home Record	0-4-1
6-0-0	Home Record	3-2-0
10-0-0	Last 10 Games	3-6-1
6.36	Goals Per Game	3.90
3.36	Goals Against Per Game	5.90
19.15%	Power Play Percentage	17.86%
77.27%	Penalty Kill Percentage	67.80%

Crunch
3-6-1, 7pts

FINAL

Gulls
4-7-0, 8pts

Team Stats
W1	Streak	W1
0-4-1	Home Record	0-5-0
3-2-0	Home Record	4-2-0
3-6-1	Last 10 Games	4-6-0
3.90	Goals Per Game	4.00
5.90	Goals Against Per Game	4.18
17.86%	Power Play Percentage	15.63%
67.80%	Penalty Kill Percentage	82.05%

Silver Knights
1-9-0, 2pts

Day 15

Crunch
3-6-1, 7pts

Team Stats
L4	Streak	W1
1-5-0	Home Record	0-4-1
0-4-0	Away Record	3-2-0
1-9-0	Last 10 Games	3-6-1
3.10	Goals Per Game	3.90
7.20	Goals Against Per Game	3.90
20.83%	Power Play Percentage	17.86%
66.00%	Penalty Kill Percentage	67.80%

Crunch
3-6-1, 7pts

Day 16

Canucks
4-5-1, 9pts

Team Stats
W1	Streak	L3
0-4-1	Home Record	1-4-0
3-2-0	Away Record	3-1-1
3-6-1	Last 10 Games	4-5-1
3.90	Goals Per Game	3.80
5.90	Goals Against Per Game	3.80
17.86%	Power Play Percentage	35.71%
67.80%	Penalty Kill Percentage	70.00%

Wolf Pack
4-3-2, 10pts

Day 19

Crunch
3-6-1, 7pts

Team Stats
L1	Streak	W1
2-2-1	Home Record	0-4-1
2-1-1	Away Record	3-2-0
4-3-2	Last 10 Games	3-6-1
6.11	Goals Per Game	3.90
5.56	Goals Against Per Game	3.90
34.48%	Power Play Percentage	17.86%
59.38%	Penalty Kill Percentage	67.80%

Team Leaders
	Goals Stefan Matteau 10	Assists Filip Roos 15

	Points Filip Roos 15	Plus/Minus Stefan Matteau 2

	Wins Matt Villalta 3	Save Percentage Matt Villalta 0.814

Team Stats
Goals For 39 3.90 GFG	Shots For 338 33.80 Avg	Power Play Percentage 17.9% 5 GF	Offensive Zone Start 33.3%
Goals Against 59 5.90 GAA	Shots Against 288 28.80 Avg	Penalty Kill Percentage 67.8%% 19 GA	Defensive Zone Start 33.4%

Team Info
	General Manager	Alex Whiddon
	Coach	Benoit Allaire
	Division	Division 1
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	1,500
Roster Info
	Pro Team	23
	Farm Team	19
	Contract Limit	42 / 100
	Prospects	59

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	Chase Wheatcroft	X				100.00	75	70	87	66	70	76	82	56	70	53	54	63	51	44	44	60	56	59	0	23	1	900,000$
2	Sandis Vilmanis (R)		X			100.00	78	71	93	65	71	71	76	55	50	56	50	64	48	44	44	59	67	59	0	21	3	1,288,000$
3	Chase Bradley (R)		X			100.00	70	66	80	69	66	75	81	55	50	46	59	60	56	44	44	61	57	58	0	23	3	1,345,000$
4	Eduard Sale (R)		X			100.00	73	65	91	65	65	65	68	55	50	56	50	61	48	44	44	58	61	57	0	20	3	1,290,000$
5	Tanner Dickinson (R)	X				100.00	73	65	93	64	65	67	72	51	64	47	51	60	48	44	44	56	64	56	0	23	3	1,135,000$
6	Stefan Matteau	X				100.00	80	78	84	62	78	44	42	57	70	57	53	65	48	44	44	58	62	56	0	31	1	900,000$
7	Tristan Allard	X				100.00	74	73	77	64	73	49	48	55	69	49	56	62	53	44	44	58	59	55	0	23	1	900,000$
8	Ryan Sandelin	X	X	X		100.00	75	68	90	64	68	50	50	52	65	47	53	62	50	44	44	57	54	54	0	26	1	900,000$
9	Ethan Gauthier (R)			X		100.00	77	67	99	80	67	51	53	44	50	38	44	61	42	44	44	52	56	53	0	20	3	1,266,000$
10	Noel Nordh (R)		X			100.00	81	73	99	80	73	33	31	44	50	38	44	63	42	44	44	52	57	52	0	20	3	1,266,000$
11	Filip Roos				X	100.00	79	77	85	64	77	76	83	50	25	46	39	63	37	44	44	54	55	60	0	26	2	1,268,000$
12	Wyatt Aamodt				X	100.00	75	73	80	67	73	78	86	47	25	39	40	60	38	44	44	53	56	59	0	28	1	900,000$
13	Charles-Alexis Legault (R)				X	100.00	77	77	76	63	77	71	78	47	25	37	41	61	39	44	44	53	50	58	0	22	3	1,287,000$
14	Konnor Smith (R)				X	100.00	88	83	99	80	83	45	47	41	25	28	39	65	37	44	44	51	61	58	0	21	3	1,286,000$
15	Tobie Bisson				X	100.00	81	77	90	63	77	51	52	47	25	38	41	63	39	44	44	52	48	56	0	28	1	900,000$
16	Dan Renouf				X	100.00	68	74	55	63	74	62	66	47	25	40	39	57	37	44	44	50	52	55	0	31	1	900,000$
17	Isaac Belliveau (R)				X	100.00	73	70	81	62	70	41	39	50	25	44	41	60	39	44	44	52	63	54	0	23	3	1,255,000$
18	Lukas Fischer (R)				X	100.00	64	71	47	80	71	49	51	41	25	28	39	53	37	44	44	46	53	53	0	19	3	1,260,000$
Scratches
1	Blake Biondi (R)	X				100.00	80	72	99	80	72	35	33	44	55	38	44	62	42	44	44	52	45	52	0	23	3	1,335,000$
2	Brayden Tracey		X			100.00	74	69	85	80	69	34	32	44	50	38	44	59	42	44	44	50	51	51	0	24	2	1,146,000$

	TEAM AVERAGE					100.00	76	72	85	69	72	56	59	49	45	43	46	61	44	44	44	54	56	56

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	Dennis Hildeby (R)	100.00	54	52	65	92	54	55	55	60	55	55	30	44	44	55	52	57	0	24	1	843,333$
2	Matt Villalta (R)	100.00	54	53	66	78	56	58	49	57	57	56	30	44	44	55	50	56	0	26	2	800,000$
Scratches
1	Sergei Murashov (R)	100.00	56	40	50	74	61	58	55	60	61	60	30	44	44	56	49	56	0	21	3	1,170,000$

	TEAM AVERAGE	100.00	55	48	60	81	57	57	53	59	58	57	30	44	44	55	50	56

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Benoit Allaire	40	40	40	40	40	40	40	TUR	81	1	1,000,000$

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	PPS	PPM	PKS	PKM	GW	FO%	FOT	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Filip Roos	Crunch (TAM)	D	10	0	15	15	-3	22	20	13	12	57	24	38	0%	12	219	21.94	0	1	6	22	0	40.00%	10	3	7	0	1.37	0	2	2	1	0	1
2	Stefan Matteau	Crunch (TAM)	C	10	10	5	15	2	32	20	9	11	89	27	42	11.24%	8	206	20.65	1	0	0	38	1	54.02%	87	11	7	1	1.45	3	1	0	1	1	1
3	Tobie Bisson	Crunch (TAM)	D	10	0	0	0	0	0	0	0	0	0	0	0	0%	0	2	0.28	0	0	0	1	0	0%	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				30	10	20	30	-1	54	40	22	23	146	51	80	6.85%	20	428	14.29	1	2	6	63	1	52.58%	97	14	14	1	1.40	3	3	2	2	1	2

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
1	Matt Villalta	Crunch (TAM)	10	3	5	1	0.814	5.21	530	2	0	46	247	134	0	1	0	0	10	10	0	0	1
Team Total or Average			10	3	5	1	0.814	5.21	530	2	0	46	247	134	0	1		0	10	10	0	0	1

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	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	Link
Blake Biondi	Crunch (TAM)	C	23	2002-04-24	USA	Yes	198 Lbs	6 ft1	No	No	Prospect	No	No	3	2025-10-22	False	False	Pro & Farm	1,335,000$	1,335,000$	0$	0$	No	1,335,000$	1,335,000$	-	-	-	-	-	-	-	1,335,000$	1,335,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Brayden Tracey	Crunch (TAM)	LW	24	2001-05-28	AB	No	186 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	1,146,000$	1,146,000$	0$	0$	No	1,146,000$	-	-	-	-	-	-	-	-	1,146,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Charles-Alexis Legault	Crunch (TAM)	D	22	2003-09-05	CAN	Yes	208 Lbs	6 ft3	No	No	Draft	No	No	3	2025-10-22	False	False	Pro & Farm	1,287,000$	1,287,000$	0$	0$	No	1,287,000$	1,287,000$	-	-	-	-	-	-	-	1,287,000$	1,287,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Chase Bradley	Crunch (TAM)	LW	23	2002-01-09	USA	Yes	180 Lbs	5 ft11	No	No	Prospect	No	No	3	2025-10-22	False	False	Pro & Farm	1,345,000$	1,345,000$	0$	0$	No	1,345,000$	1,345,000$	-	-	-	-	-	-	-	1,345,000$	1,345,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Chase Wheatcroft	Crunch (TAM)	C	23	2002-05-28	CAN	No	185 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-16	False	False	Pro & Farm	900,000$	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dan Renouf	Crunch (TAM)	D	31	1994-06-01	CAN	No	198 Lbs	6 ft3	No	No	Free Agent	No	No	1	2024-10-16	False	False	Pro & Farm	900,000$	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dennis Hildeby	Crunch (TAM)	G	24	2001-08-19	SWE	Yes	224 Lbs	6 ft7	No	No	N/A	No	No	1		False	False	Pro & Farm	843,333$	843,333$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Eduard Sale	Crunch (TAM)	LW	20	2005-03-10	CZE	Yes	170 Lbs	6 ft1	No	No	Prospect	No	No	3	2025-10-22	False	False	Pro & Farm	1,290,000$	1,290,000$	0$	0$	No	1,290,000$	1,290,000$	-	-	-	-	-	-	-	1,290,000$	1,290,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ethan Gauthier	Crunch (TAM)	RW	20	2005-01-26	USA	Yes	182 Lbs	6 ft0	No	No	Draft	No	No	3	2025-10-22	False	False	Pro & Farm	1,266,000$	1,266,000$	0$	0$	No	1,266,000$	1,266,000$	-	-	-	-	-	-	-	1,266,000$	1,266,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Filip Roos	Crunch (TAM)	D	26	1999-01-05	SWE	No	200 Lbs	6 ft4	No	No	N/A	No	No	2		False	False	Pro & Farm	1,268,000$	1,268,000$	0$	0$	No	1,268,000$	-	-	-	-	-	-	-	-	1,268,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Isaac Belliveau	Crunch (TAM)	D	23	2002-11-26	QC	Yes	185 Lbs	6 ft2	No	No	Prospect	No	No	3	2025-10-22	False	False	Pro & Farm	1,255,000$	1,255,000$	0$	0$	No	1,255,000$	1,255,000$	-	-	-	-	-	-	-	1,255,000$	1,255,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Konnor Smith	Crunch (TAM)	D	21	2004-11-06	CAN	Yes	215 Lbs	6 ft6	No	No	Draft	No	No	3	2025-10-22	False	False	Pro & Farm	1,286,000$	1,286,000$	0$	0$	No	1,286,000$	1,286,000$	-	-	-	-	-	-	-	1,286,000$	1,286,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Lukas Fischer	Crunch (TAM)	D	19	2006-09-09	USA	Yes	185 Lbs	6 ft3	No	No	Draft	No	No	3	2025-10-22	False	False	Pro & Farm	1,260,000$	1,260,000$	0$	0$	No	1,260,000$	1,260,000$	-	-	-	-	-	-	-	1,260,000$	1,260,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Matt Villalta	Crunch (TAM)	G	26	1999-06-03	CAN	Yes	190 Lbs	6 ft3	No	No	Free Agent	No	No	2	2024-10-16	False	False	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Noel Nordh	Crunch (TAM)	LW	20	2005-01-25	SWE	Yes	196 Lbs	6 ft2	No	No	Draft	No	No	3	2025-10-22	False	False	Pro & Farm	1,266,000$	1,266,000$	0$	0$	No	1,266,000$	1,266,000$	-	-	-	-	-	-	-	1,266,000$	1,266,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ryan Sandelin	Crunch (TAM)	C/LW/RW	26	1999-01-03	USA	No	185 Lbs	6 ft0	No	No	Free Agent	No	No	1	2024-10-16	False	False	Pro & Farm	900,000$	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Sandis Vilmanis	Crunch (TAM)	LW	21	2004-01-23	LAT	Yes	192 Lbs	6 ft1	No	No	Prospect	No	No	3	2025-10-22	False	False	Pro & Farm	1,288,000$	1,288,000$	0$	0$	No	1,288,000$	1,288,000$	-	-	-	-	-	-	-	1,288,000$	1,288,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Sergei Murashov	Crunch (TAM)	G	21	2004-04-01	RUS	Yes	187 Lbs	6 ft2	No	No	Prospect	No	No	3	2025-10-22	False	False	Pro & Farm	1,170,000$	1,170,000$	0$	0$	No	1,170,000$	1,170,000$	-	-	-	-	-	-	-	1,170,000$	1,170,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Stefan Matteau	Crunch (TAM)	C	31	1994-02-23	USA	No	211 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-16	False	False	Pro & Farm	900,000$	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tanner Dickinson	Crunch (TAM)	C	23	2002-03-05	USA	Yes	176 Lbs	6 ft0	No	No	N/A	No	No	3	2025-10-17	False	False	Pro & Farm	1,135,000$	1,135,000$	0$	0$	No	1,135,000$	1,135,000$	-	-	-	-	-	-	-	1,135,000$	1,135,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Tobie Bisson	Crunch (TAM)	D	28	1997-02-01	QUE	No	207 Lbs	6 ft3	No	No	Free Agent	No	No	1	2024-10-16	False	False	Pro & Farm	900,000$	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tristan Allard	Crunch (TAM)	C	23	2002-06-23	ONT	No	196 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-16	False	False	Pro & Farm	900,000$	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Wyatt Aamodt	Crunch (TAM)	D	28	1997-11-22	USA	No	201 Lbs	6 ft0	No	No	Free Agent	No	No	1	2024-10-16	False	False	Pro & Farm	900,000$	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	23.74	194 Lbs	6 ft2	2.17	1,110,449$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2			Stefan Matteau	30	1	2	2
3			Stefan Matteau	20	1	2	2
4		Stefan Matteau		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2	Filip Roos		30	1	2	2
3		Filip Roos	20	1	2	2
4	Filip Roos		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2			Stefan Matteau	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Filip Roos		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Stefan Matteau		60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Filip Roos	Tobie Bisson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Stefan Matteau	60	1	2	2			60	1	2	2
2		40	1	2	2	Filip Roos		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Stefan Matteau	60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Filip Roos	Dan Renouf	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Stefan Matteau

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Stefan Matteau

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Stefan Matteau,	, Stefan Matteau	Stefan Matteau

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, , Filip Roos		, Filip Roos

Penalty Shots
, Stefan Matteau, , ,

Goalie
#1 : , #2 : Matt Villalta

Custom OT Lines Forwards
, , , , , Chase Wheatcroft, Chase Wheatcroft, Stefan Matteau, , ,

Custom OT Lines Defensemen
, , Filip Roos, Wyatt Aamodt,

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
1	Bruins	2	0	2	0	0	0	0	0	6	15	-9	1	0	1	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	6	11	17	1	0	10	13	16	0	64	111	105	122	0	60	17	34	24	5	1	20.00%	12	6	50.00%	0	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67
2	Canucks	1	0	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	6	7	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	6	12	18	0	0	10	13	16	0	26	111	105	122	0	35	6	17	12	4	2	50.00%	6	2	66.67%	0	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67
3	Condors	2	1	0	0	0	1	0	0	8	8	0	1	0	0	0	0	1	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	3	1	3	0.750	8	15	23	0	0	10	13	16	0	81	111	105	122	0	45	14	22	22	6	1	16.67%	11	3	72.73%	1	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67
4	Gulls	2	1	1	0	0	0	0	0	7	13	-6	1	0	1	0	0	0	0	0	1	9	-8	1	1	0	0	0	0	0	0	6	4	2	2	0.500	7	13	20	0	0	10	13	16	0	71	111	105	122	0	68	29	39	29	6	0	0.00%	12	2	83.33%	0	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67
5	Silver Knights	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	9	14	0	0	10	13	16	0	36	111	105	122	0	16	5	4	19	2	0	0.00%	2	0	100.00%	0	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67
6	Wild	1	0	1	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	3	8	-5	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	10	13	16	0	28	111	105	122	0	34	10	35	12	1	1	100.00%	10	4	60.00%	0	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67
7	Wolf Pack	1	0	1	0	0	0	0	0	4	7	-3	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	4	8	12	0	0	10	13	16	0	32	111	105	122	0	30	8	12	14	4	0	0.00%	6	2	66.67%	0	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67
	Total	10	3	6	0	0	1	0	0	39	59	-20	5	0	4	0	0	1	0	0	18	40	-22	5	3	2	0	0	0	0	0	21	19	2	7	0.350	39	73	112	1	0	10	13	16	0	338	111	105	122	0	288	89	163	132	28	5	17.86%	59	19	67.80%	1	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67
	_Since Last GM Reset	10	3	6	0	0	1	0	0	39	59	-20	5	0	4	0	0	1	0	0	18	40	-22	5	3	2	0	0	0	0	0	21	19	2	7	0.350	39	73	112	1	0	10	13	16	0	338	111	105	122	0	288	89	163	132	28	5	17.86%	59	19	67.80%	1	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67
	_Vs Conference	10	3	6	0	0	1	0	0	39	59	-20	5	0	4	0	0	1	0	0	18	40	-22	5	3	2	0	0	0	0	0	21	19	2	7	0.350	39	73	112	1	0	10	13	16	0	338	111	105	122	0	288	89	163	132	28	5	17.86%	59	19	67.80%	1	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67
	_Vs Division	6	3	6	0	0	1	0	0	26	29	-3	3	0	4	0	0	1	0	0	11	21	-10	3	3	2	0	0	0	0	0	15	8	7	7	0.583	26	49	75	0	0	10	13	16	0	214	111	105	122	0	164	54	82	82	18	3	16.67%	31	7	77.42%	1	58	194	29.90%	84	195	43.08%	69	194	35.57%	198	118	220	112	182	67

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
10	7	W1	39	73	112	338	288	89	163	132	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	3	6	0	1	0	0	39	59

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	0	4	0	1	0	0	18	40

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	2	0	0	0	0	21	19

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	6	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
28	5	17.86%	59	19	67.80%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
111	105	122	0	10	13	16	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
58	194	29.90%	84	195	43.08%	69	194	35.57%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
198	118	220	112	182	67

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	ST	OT	Link
1	12	Crunch	4	Wolf Pack	7	L		BoxScore
2	22	Crunch	2	Bruins	4	L		BoxScore
3	31	Bruins	11	Crunch	4	L		BoxScore
4	47	Crunch	4	Condors	3	W		BoxScore
6	62	Condors	5	Crunch	4	L	X	BoxScore
8	77	Crunch	5	Silver Knights	1	W		BoxScore
9	88	Canucks	7	Crunch	6	L		BoxScore
10	110	Gulls	9	Crunch	1	L		BoxScore
12	132	Wild	8	Crunch	3	L		BoxScore
13	145	Crunch	6	Gulls	4	W		BoxScore
15	166	Silver Knights	-	Crunch	-
16	177	Crunch	-	Canucks	-
Trade Deadline --- Trades can’t be done after this day is simulated!
19	199	Wolf Pack	-	Crunch	-
20	211	Crunch	-	Wild	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
2	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,554,033$	2,554,033$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	8	0$	0$

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: 10 \| W: 3 \| L: 6 \| OTL: 1 \| P: 7 GF: 39 \| GA: 59 \| PP%: 17.86% \| PK%: 67.80% GM : Alex Whiddon \| Morale : 63 \| Team Overall : 56 Next Games #166 vs Silver Knights