Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Goons

Home
Main
Pro League
Farm League
League
- Coaches
- Transactions
- Waivers
- Team/GM
- Trade History
- Prospects
- RSS Feed
- Unassigned
  - Players
  - Goalies
- Available For Trade
  - Players
  - Goalies
- Free Agents
  - Players
  - Goalies
History
Team's Link
- Pro Team
  - Conférence Canadienne
  - Conférence Américaine
- Farm Team
  - Conference 1
    - Bandits
    - CoolFm
    - Farmers
    - Goons
    - Grizzlies
    - Hunters
    - Husky
    - Igloos
    - Marlies
    - Marmots
    - Rockets
    - Smirnoff Ice
    - TigersCats
    - Warriors
    - Xpress
  - Conference 2
    - Barracudas
    - Bayou
    - Chiwawa
    - Outlaws
    - Predateurs
    - Raptors
    - Saguenéens
    - Scorpions
    - Snowbirds
    - Spartans
    - Supreme
    - Thugs
    - Twins
    - Vandals
    - Vipers
    - Wolves
Search
Legacy Pages
Help
- Latest STHS Client
- STHS Client Manual

Goons

GP: 18 | W: 6 | L: 9 | OTL: 3 | P: 15
GF: 59 | GA: 76 | PP%: 15.79% | PK%: 67.65%
GM : Stephane Morin | Morale : 90 | Team Overall : 59
Next Games #285 vs Bayou

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Quebec Nordiques
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Reese Johnson (R)	X				98.00	99	51	77	78	64	55	69	49	83	43	56	70	50	84	72	0	90	63	0
2	Ryan Reaves			X		99.00	99	66	79	75	82	50	88	53	30	51	56	55	66	96	83	0	90	62	0
3	Nicolas Aube-Kubel (R)		X			99.00	97	48	69	78	69	57	64	54	30	52	56	65	66	86	74	0	90	62	0
4	Pavol Regenda (R)	X				99.00	54	45	90	76	80	53	40	51	30	48	54	67	65	83	71	0	90	58	0
5	Darren Helm	X				100.00	64	45	90	77	62	50	40	45	30	40	50	70	50	96	83	0	90	56	0
6	Mike Hardman		X			100.00	74	45	95	75	72	51	40	45	30	40	50	64	50	84	71	0	90	56	0
7	Joel Teasdale (R)			X		100.00	50	45	95	74	72	54	40	47	30	44	50	60	50	84	72	0	90	55	0
8	John Hayden		X			100.00	50	48	85	74	83	50	40	49	30	40	58	55	50	88	75	0	90	55	0
9	Jeff Malott (R)			X		100.00	50	45	95	76	73	50	40	45	30	40	50	55	50	87	74	0	90	54	0
10	James Hamblin (R)		X			100.00	50	45	92	79	48	50	40	45	30	40	50	61	50	83	70	0	90	53	0
11	Marco Scandella				X	99.00	77	45	87	75	73	74	40	50	30	44	56	88	65	93	85	0	90	68	0
12	Marcus Bjork (R)				X	99.00	77	45	60	82	74	76	40	61	30	60	61	71	68	85	77	0	90	67	0
13	Justin Braun				X	100.00	67	48	85	75	67	62	62	47	30	43	50	79	50	96	85	0	90	65	0
14	Filip Roos (R)				X	100.00	61	45	90	80	64	68	40	52	30	48	56	70	66	84	74	0	90	63	0
15	Simon Edvinsson (R)				X	100.00	58	45	79	75	77	71	40	51	30	40	62	63	65	80	71	0	90	62	0
16	Parker Wotherspoon (R)				X	100.00	54	45	90	77	58	56	40	47	30	44	50	64	50	85	73	0	90	59	0
Scratches
1	Ross Johnston	X				58.90	85	54	44	73	91	50	40	49	30	48	50	55	50	89	76	0	90	57	0
2	Kyle Criscuolo	X				100.00	50	45	95	79	47	66	40	47	30	40	54	61	50	90	80	0	90	55	0
3	Aidan McDonough (R)			X		100.00	53	45	92	77	67	50	40	47	30	40	54	57	50	83	70	0	90	54	0
4	Joseph Cramarossa		X			100.00	54	45	90	77	63	50	40	47	30	40	54	58	50	90	77	0	90	54	0
5	Linus Sandin (R)			X		100.00	50	45	95	74	73	50	40	45	30	40	50	55	50	87	74	0	90	53	0
6	Cole McWard (R)				X	100.00	51	45	95	77	59	59	40	48	30	40	56	60	50	81	69	0	90	58	0
7	Matthew Kessel (R)				X	100.00	50	45	95	75	67	63	40	45	30	40	50	62	50	82	71	0	90	58	0
8	Brandon Gormley				X	100.00	50	45	95	76	63	50	40	45	30	40	50	55	50	91	78	0	90	57	0
9	Santeri Hatakka (R)				X	100.00	50	45	95	77	58	50	40	45	30	40	50	55	50	82	69	0	90	56	0

	TEAM AVERAGE					98.04	63	47	86	76	68	57	45	48	32	43	53	63	54	87	75	0	90	58

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Joey Daccord (R)	100.00	70	50	60	86	70	70	70	70	70	70	70	86	74	0	90	62	0
2	Eetu Makiniemi (R)	99.00	70	50	60	83	70	70	70	70	70	70	70	83	70	0	90	61	0
Scratches
1	Christopher Gibson	100.00	70	40	40	91	65	65	65	65	65	65	65	88	75	0	90	59	0

	TEAM AVERAGE	99.67	70	47	53	87	68	68	68	68	68	68	68	86	73	0	90	61

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Martin St-Louis	72	71	74	72	82	79	76	CAN	48	2	2,000,000$

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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Reese Johnson	Goons (QUE)	C	16	9	12	21	0	19	15	34	30	52	22	26	17.31%	9	359	22.49	0	3	3	8	43	1	0	1	1	37	2	2	65.30%	415	11	15	1.17	0	0	0	0	3	3	1	1
2	Nicolas Aube-Kubel	Goons (QUE)	LW	15	10	7	17	4	29	5	32	19	71	17	51	14.08%	6	286	19.12	2	3	5	15	45	0	0	0	3	26	0	0	44.74%	38	23	4	1.19	0	0	0	1	0	1	0	1
3	Pavol Regenda	Goons (QUE)	C	18	8	7	15	3	6	0	19	29	50	17	29	16.00%	6	318	17.69	2	1	3	2	39	0	0	0	1	31	2	0	48.88%	223	13	10	0.94	0	0	0	0	0	1	1	0
4	Mike Hardman	Goons (QUE)	LW	18	4	9	13	-4	2	0	22	23	23	6	28	17.39%	5	315	17.52	2	1	3	2	40	0	0	0	0	14	0	0	46.67%	15	4	11	0.82	0	0	0	0	0	0	0	2
5	Marcus Bjork	Goons (QUE)	D	15	1	11	12	-5	48	0	29	18	61	28	20	1.64%	22	381	25.46	0	1	1	16	51	0	1	1	2	29	0	0	0.00%	0	16	19	0.63	1	1	0	0	0	0	0	2
6	Ross Johnston	Goons (QUE)	C	18	3	7	10	5	16	0	34	20	35	16	22	8.57%	5	283	15.75	0	0	0	1	7	0	0	0	0	15	0	0	41.48%	176	7	13	0.71	0	0	0	0	0	3	0	0
7	Joel Teasdale	Goons (QUE)	RW	18	3	6	9	-6	0	0	14	12	31	16	20	9.68%	9	291	16.21	0	1	1	2	41	0	0	0	0	0	1	0	46.67%	15	9	9	0.62	0	0	0	0	0	0	1	0
8	Ryan Reaves	Goons (QUE)	RW	15	6	2	8	-2	12	10	16	13	54	14	41	11.11%	1	286	19.13	3	1	4	9	44	0	0	0	0	25	0	0	45.71%	35	13	9	0.56	0	0	1	0	1	0	0	1
9	Justin Braun	Goons (QUE)	D	18	1	5	6	0	12	0	21	25	32	9	7	3.12%	25	370	20.57	0	1	1	1	36	0	0	0	1	34	0	0	100.00%	1	3	19	0.32	0	0	0	0	0	0	0	0
10	John Hayden	Goons (QUE)	LW	18	4	2	6	-2	4	0	22	13	35	11	20	11.43%	7	285	15.84	0	0	0	0	2	0	0	0	1	21	0	0	46.15%	26	7	8	0.42	0	0	0	0	0	0	1	1
11	Simon Edvinsson	Goons (QUE)	D	18	1	3	4	2	8	0	13	19	23	7	6	4.35%	8	291	16.18	0	0	0	0	9	0	0	0	0	11	0	0	0.00%	0	6	14	0.27	0	0	0	0	0	1	0	0
12	Jeff Malott	Goons (QUE)	RW	5	1	2	3	3	0	0	2	2	5	3	5	20.00%	2	69	13.87	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	2	0.86	0	0	0	0	0	0	0	0
13	Filip Roos	Goons (QUE)	D	15	0	3	3	0	2	0	4	17	21	8	14	0.00%	17	273	18.25	0	0	0	1	23	0	0	0	0	26	0	0	0.00%	0	9	14	0.22	0	0	0	0	0	0	0	0
14	Matthew Kessel	Goons (QUE)	D	11	0	3	3	0	0	0	2	9	2	1	1	0.00%	10	164	14.95	0	0	0	0	0	0	0	0	0	11	0	0	0.00%	0	4	3	0.36	0	0	0	0	0	0	0	0
15	Marco Scandella	Goons (QUE)	D	15	0	3	3	-7	7	5	21	24	26	9	13	0.00%	13	391	26.07	0	1	1	4	48	0	0	0	1	41	0	0	0.00%	0	3	23	0.15	0	0	0	0	1	0	0	0
16	Linus Sandin	Goons (QUE)	RW	3	2	0	2	2	0	0	1	2	2	3	2	100.00%	1	22	7.44	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	2	1	1.79	0	0	0	0	0	0	0	0
17	Aidan McDonough	Goons (QUE)	RW	16	2	0	2	-2	0	0	14	5	24	8	18	8.33%	6	217	13.57	0	0	0	0	2	0	0	0	0	0	0	0	40.00%	5	5	6	0.18	0	0	0	0	0	0	0	1
18	James Hamblin	Goons (QUE)	LW	11	2	0	2	-3	0	0	2	6	13	3	2	15.38%	0	106	9.71	0	0	0	0	0	0	0	0	0	4	0	0	36.36%	11	4	1	0.37	0	0	0	0	0	0	0	0
19	Parker Wotherspoon	Goons (QUE)	D	9	0	1	1	2	0	0	4	12	3	1	3	0.00%	6	137	15.28	0	0	0	0	2	0	0	0	0	10	0	0	0.00%	0	1	5	0.15	0	0	0	0	0	0	0	0
20	Kyle Criscuolo	Goons (QUE)	C	8	0	1	1	-1	0	0	4	7	3	4	1	0.00%	0	78	9.86	0	0	0	0	1	0	0	0	1	3	0	0	42.31%	26	1	6	0.25	0	0	0	0	0	0	0	0
21	Darren Helm	Goons (QUE)	C	10	0	0	0	-7	2	0	4	11	3	2	3	0.00%	0	90	9.09	0	0	0	0	1	0	0	0	0	2	0	0	56.76%	37	2	8	0.00	0	0	0	0	0	0	0	0
22	Santeri Hatakka	Goons (QUE)	D	1	0	0	0	0	0	0	0	1	0	0	0	0.00%	0	12	12.77	0	0	0	0	1	0	0	0	0	1	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0	0	0
23	Cole McWard	Goons (QUE)	D	1	0	0	0	-2	0	0	0	0	1	0	0	0.00%	0	11	11.62	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0.00	0	0	0	0	0	0	0	0
24	Joseph Cramarossa	Goons (QUE)	LW	7	0	0	0	-1	0	0	5	2	1	0	2	0.00%	0	49	7.13	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0.00	0	0	0	0	0	0	0	0
Team Total or Average				299	57	84	141	-21	167	35	319	319	571	205	334	9.98%	158	5097	17.05	9	13	22	61	447	1	1	2	11	350	5	2	53.81%	1024	145	202	0.55	1	1	1	1	5	9	4	9

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	GA	SA	SAR	ST	BG	S2
1	Joey Daccord	Goons (QUE)	13	4	8	1	0.864	4.37	728	53	390	196	12	6	1
2	Eetu Makiniemi	Goons (QUE)	7	2	1	2	0.840	3.92	352	23	144	72	6	12	1
Team Total or Average			20	6	9	3	0.858	4.22	1080	76	534	268	18	18	2

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	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap
Aidan McDonough	Goons (QUE)	RW	23	1999-11-06	Yes	190 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	900,000$	0$	0$	No
Brandon Gormley	Goons (QUE)	D	30	1992-10-12	No	196 Lbs	6 ft2	No	No	No	4	UFA	Pro & Farm	775,000$	0$	0$	No
Christopher Gibson	Goons (QUE)	G	29	1993-10-12	No	217 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	750,000$	0$	0$	No
Cole McWard	Goons (QUE)	D	22	2001-06-09	Yes	192 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Darren Helm	Goons (QUE)	C	36	1987-01-21	No	192 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No
Eetu Makiniemi	Goons (QUE)	G	24	1999-04-19	Yes	184 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Filip Roos	Goons (QUE)	D	24	1999-01-05	Yes	190 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	825,000$	0$	0$	No
James Hamblin	Goons (QUE)	LW	24	1999-04-27	Yes	176 Lbs	5 ft9	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Jeff Malott	Goons (QUE)	RW	27	1996-08-07	Yes	201 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	1,333,000$	0$	0$	No
Joel Teasdale	Goons (QUE)	RW	24	1999-03-11	Yes	212 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Joey Daccord	Goons (QUE)	G	27	1996-08-19	Yes	201 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	750,000$	0$	0$	No
John Hayden	Goons (QUE)	LW	28	1995-02-14	No	223 Lbs	6 ft3	No	No	No	4	UFA	Pro & Farm	750,000$	0$	0$	No
Joseph Cramarossa	Goons (QUE)	LW	30	1992-10-26	No	190 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	750,000$	0$	0$	No
Justin Braun	Goons (QUE)	D	36	1987-02-10	No	205 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	2,000,000$	0$	0$	No
Kyle Criscuolo	Goons (QUE)	C	31	1992-05-05	No	175 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No
Linus Sandin	Goons (QUE)	RW	27	1996-05-19	Yes	209 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No
Marco Scandella	Goons (QUE)	D	33	1990-02-23	No	212 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	3,750,000$	0$	0$	No
Marcus Bjork	Goons (QUE)	D	25	1997-11-24	Yes	211 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	900,000$	0$	0$	No
Matthew Kessel	Goons (QUE)	D	23	2000-06-23	Yes	205 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Mike Hardman	Goons (QUE)	LW	24	1999-02-05	No	205 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	875,000$	0$	0$	No
Nicolas Aube-Kubel	Goons (QUE)	LW	27	1996-05-10	Yes	207 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	1,000,000$	0$	0$	No
Parker Wotherspoon	Goons (QUE)	D	26	1997-08-24	Yes	190 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Pavol Regenda	Goons (QUE)	C	23	1999-12-07	Yes	212 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Reese Johnson	Goons (QUE)	C	25	1998-07-10	Yes	193 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Ross Johnston (Out of Payroll)	Goons (QUE)	C	29	1994-02-18	No	230 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	1,279,550$	0$	0$	Yes
Ryan Reaves	Goons (QUE)	RW	36	1987-01-20	No	225 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	5,000,000$	0$	0$	No
Santeri Hatakka	Goons (QUE)	D	22	2001-01-15	Yes	191 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	800,000$	0$	0$	No
Simon Edvinsson	Goons (QUE)	D	20	2003-02-05	Yes	209 Lbs	6 ft6	No	No	No	4	RFA	Pro & Farm	1,200,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	26.96	202 Lbs	6 ft2	2.96	1,153,127$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nicolas Aube-Kubel	Reese Johnson	Ryan Reaves	35	1	2	2
2	Mike Hardman	Pavol Regenda	Joel Teasdale	30	1	2	2
3	John Hayden		Jeff Malott	25	1	2	2
4	James Hamblin	Darren Helm	Reese Johnson	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marco Scandella	Marcus Bjork	35	1	2	2
2	Justin Braun	Filip Roos	30	1	2	2
3	Simon Edvinsson	Parker Wotherspoon	25	1	2	2
4	Marco Scandella	Marcus Bjork	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nicolas Aube-Kubel	Reese Johnson	Ryan Reaves	55	1	2	2
2	Mike Hardman	Pavol Regenda	Joel Teasdale	45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marco Scandella	Marcus Bjork	55	1	2	2
2	Justin Braun	Filip Roos	45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Reese Johnson	Nicolas Aube-Kubel	55	1	2	2
2	Ryan Reaves	Pavol Regenda	45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marco Scandella	Marcus Bjork	55	1	2	2
2	Justin Braun	Filip Roos	45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Reese Johnson	55	1	2	2	Marco Scandella	Marcus Bjork	55	1	2	2
2	Nicolas Aube-Kubel	45	1	2	2	Justin Braun	Filip Roos	45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Reese Johnson	Nicolas Aube-Kubel	55	1	2	2
2	Ryan Reaves	Pavol Regenda	45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marco Scandella	Marcus Bjork	55	1	2	2
2	Justin Braun	Filip Roos	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Nicolas Aube-Kubel	Reese Johnson	Ryan Reaves	Marco Scandella	Marcus Bjork

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Nicolas Aube-Kubel	Reese Johnson	Ryan Reaves	Marco Scandella	Marcus Bjork

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Darren Helm, John Hayden	, Darren Helm	John Hayden

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Simon Edvinsson, Parker Wotherspoon, Justin Braun	Simon Edvinsson	Parker Wotherspoon, Justin Braun

Penalty Shots
Reese Johnson, Nicolas Aube-Kubel, Ryan Reaves, Pavol Regenda,

Goalie
#1 : Eetu Makiniemi, #2 : Joey Daccord

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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

	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	Bandits	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	2	3	-1	1	0.500	2	3	5	0	0	10	20	28	1	36	142	210	225	2	26	18	9	22	3	0	0.00%	2	0	100.00%	0	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
2	CoolFm	4	2	2	0	0	0	0	0	14	11	3	2	1	1	0	0	0	0	0	7	5	2	2	1	1	0	0	0	0	0	7	6	1	4	0.500	14	22	36	0	0	10	20	28	1	133	142	210	225	2	133	39	36	81	4	1	25.00%	18	7	61.11%	0	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
3	Hunters	3	2	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	3	1	2	2	1	1	0	0	0	0	0	6	6	0	4	0.667	9	13	22	0	0	10	20	28	1	86	142	210	225	2	64	25	23	35	16	1	6.25%	9	1	88.89%	0	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
4	Husky	2	0	1	0	0	1	0	0	5	12	-7	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	8	-6	1	0.250	5	9	14	0	0	10	20	28	1	76	142	210	225	2	56	7	12	52	9	2	22.22%	6	3	50.00%	0	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
5	Igloos	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	6	9	15	0	0	10	20	28	1	54	142	210	225	2	68	24	24	24	5	1	20.00%	12	4	66.67%	0	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
6	Spartans	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	10	20	28	1	23	142	210	225	2	34	5	4	10	1	0	0.00%	2	0	100.00%	0	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
7	TigersCats	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	3	6	0	0	10	20	28	1	32	142	210	225	2	25	11	4	27	4	1	25.00%	2	0	100.00%	0	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
	Total	18	5	9	0	1	3	0	0	59	76	-17	9	3	3	0	1	2	0	0	32	32	0	9	2	6	0	0	1	0	0	27	44	-17	15	0.417	59	89	148	0	0	10	20	28	1	579	142	210	225	2	534	164	171	325	57	9	15.79%	68	22	67.65%	1	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
9	Vipers	1	0	1	0	0	0	0	0	5	10	-5	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	10	-5	0	0.000	5	8	13	0	0	10	20	28	1	46	142	210	225	2	38	8	28	12	7	2	28.57%	4	2	50.00%	0	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
10	Xpress	3	0	1	0	1	1	0	0	12	15	-3	2	0	0	0	1	1	0	0	8	8	0	1	0	1	0	0	0	0	0	4	7	-3	3	0.500	12	17	29	0	0	10	20	28	1	93	142	210	225	2	90	27	31	62	8	1	12.50%	13	5	61.54%	1	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
	_Since Last GM Reset	18	5	9	0	1	3	0	0	59	76	-17	9	3	3	0	1	2	0	0	32	32	0	9	2	6	0	0	1	0	0	27	44	-17	15	0.417	59	89	148	0	0	10	20	28	1	579	142	210	225	2	534	164	171	325	57	9	15.79%	68	22	67.65%	1	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
	_Vs Conference	16	5	7	0	1	3	0	0	51	60	-9	8	3	2	0	1	2	0	0	29	26	3	8	2	5	0	0	1	0	0	22	34	-12	15	0.469	51	76	127	0	0	10	20	28	1	510	142	210	225	2	462	151	139	303	49	7	14.29%	62	20	67.74%	1	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
	_Vs Division	15	4	7	0	1	3	0	0	48	59	-11	7	2	2	0	1	2	0	0	26	25	1	8	2	5	0	0	1	0	0	22	34	-12	13	0.433	48	73	121	0	0	10	20	28	1	478	142	210	225	2	437	140	135	276	45	6	13.33%	60	20	66.67%	1	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	15	OTL1	59	89	148	579	534	164	171	325	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	5	9	1	3	0	0	59	76

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	3	3	1	2	0	0	32	32

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	2	6	0	1	0	0	27	44

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	4	0	3	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
57	9	15.79%	68	22	67.65%	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
142	210	225	2	10	20	28	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
205	384	53.39%	200	365	54.79%	162	294	55.10%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
322	160	429	165	329	163

Last Played Games 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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	Link
1 - 2024-04-06	1	Goons	1	CoolFm	3	L		BoxScore
2 - 2024-04-07	20	CoolFm	3	Goons	1	L		BoxScore
4 - 2024-04-09	38	TigersCats	1	Goons	3	W		BoxScore
6 - 2024-04-11	50	Goons	2	Hunters	3	L		BoxScore
7 - 2024-04-12	68	Goons	1	Igloos	4	L		BoxScore
8 - 2024-04-13	81	Goons	4	Hunters	3	W		BoxScore
9 - 2024-04-14	91	Igloos	7	Goons	5	L		BoxScore
11 - 2024-04-16	111	Xpress	4	Goons	5	W	X	BoxScore
12 - 2024-04-17	129	Goons	2	Bandits	3	L	X	BoxScore
14 - 2024-04-19	142	Hunters	1	Goons	3	W		BoxScore
16 - 2024-04-21	162	Husky	4	Goons	3	L	X	BoxScore
17 - 2024-04-22	171	Goons	2	Husky	8	L		BoxScore
18 - 2024-04-23	190	Goons	6	CoolFm	3	W		BoxScore
19 - 2024-04-24	202	Goons	4	Xpress	7	L		BoxScore
20 - 2024-04-25	215	Spartans	6	Goons	3	L		BoxScore
22 - 2024-04-27	233	CoolFm	2	Goons	6	W		BoxScore
23 - 2024-04-28	247	Goons	5	Vipers	10	L		BoxScore
25 - 2024-04-30	267	Xpress	4	Goons	3	L	X	BoxScore
27 - 2024-05-02	285	Bayou	-	Goons	-
28 - 2024-05-03	297	Goons	-	Hunters	-
30 - 2024-05-05	315	Goons	-	Igloos	-
31 - 2024-05-06	326	Rockets	-	Goons	-
32 - 2024-05-07	345	Goons	-	Vandals	-
34 - 2024-05-09	357	Grizzlies	-	Goons	-
35 - 2024-05-10	371	Goons	-	Grizzlies	-
37 - 2024-05-12	389	Goons	-	Rockets	-
38 - 2024-05-13	401	Snowbirds	-	Goons	-
40 - 2024-05-15	419	Marmots	-	Goons	-
42 - 2024-05-17	438	Goons	-	CoolFm	-
43 - 2024-05-18	451	TigersCats	-	Goons	-
44 - 2024-05-19	472	Thugs	-	Goons	-
45 - 2024-05-20	484	Goons	-	TigersCats	-
47 - 2024-05-22	501	Goons	-	Supreme	-
48 - 2024-05-23	514	Goons	-	Bayou	-
49 - 2024-05-24	524	Supreme	-	Goons	-
51 - 2024-05-26	541	Goons	-	Outlaws	-
52 - 2024-05-27	556	Vipers	-	Goons	-
53 - 2024-05-28	569	Goons	-	Xpress	-
55 - 2024-05-30	586	Predateurs	-	Goons	-
56 - 2024-05-31	599	Goons	-	Predateurs	-
58 - 2024-06-02	615	Warriors	-	Goons	-
59 - 2024-06-03	631	Goons	-	Raptors	-
61 - 2024-06-05	646	Barracudas	-	Goons	-
62 - 2024-06-06	661	Goons	-	Scorpions	-
63 - 2024-06-07	674	Goons	-	Thugs	-
64 - 2024-06-08	681	Wolves	-	Goons	-
67 - 2024-06-11	708	Chiwawa	-	Goons	-
68 - 2024-06-12	729	Marlies	-	Goons	-
69 - 2024-06-13	742	Goons	-	Marlies	-
71 - 2024-06-15	763	Saguenéens	-	Goons	-
72 - 2024-06-16	774	Goons	-	Smirnoff Ice	-
73 - 2024-06-17	788	Goons	-	Bandits	-
74 - 2024-06-18	800	Goons	-	Marmots	-
75 - 2024-06-19	810	Vandals	-	Goons	-
77 - 2024-06-21	833	Smirnoff Ice	-	Goons	-
79 - 2024-06-23	855	Hunters	-	Goons	-
80 - 2024-06-24	871	Goons	-	Wolves	-
82 - 2024-06-26	886	Raptors	-	Goons	-
83 - 2024-06-27	899	Goons	-	Farmers	-
84 - 2024-06-28	910	Goons	-	Saguenéens	-
86 - 2024-06-30	926	Scorpions	-	Goons	-
88 - 2024-07-02	949	Outlaws	-	Goons	-
89 - 2024-07-03	962	Goons	-	Warriors	-
Trade Deadline --- Trades can’t be done after this day is simulated!
90 - 2024-07-04	975	Goons	-	Barracudas	-
91 - 2024-07-05	987	Farmers	-	Goons	-
92 - 2024-07-06	998	Goons	-	Chiwawa	-
95 - 2024-07-09	1021	Twins	-	Goons	-
96 - 2024-07-10	1041	Husky	-	Goons	-
99 - 2024-07-13	1068	Igloos	-	Goons	-
100 - 2024-07-14	1076	Goons	-	Twins	-
102 - 2024-07-16	1090	Goons	-	Snowbirds	-
105 - 2024-07-19	1110	CoolFm	-	Goons	-
106 - 2024-07-20	1129	Goons	-	Spartans	-
107 - 2024-07-21	1137	Bandits	-	Goons	-
110 - 2024-07-24	1156	Bandits	-	Goons	-
111 - 2024-07-25	1168	Goons	-	Husky	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	50	25
Attendance	13,106	5,663
Attendance PCT	72.81%	62.92%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
29	2085 - 69.51%	106,250$	956,250$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,151,332$	3,100,800$	3,025,800$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	708,857$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,081,250$	88	45,140$	3,972,320$

Show or Hide Column

	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
Regular Season
45	82	33	30	0	4	5	6	4	309	311	-2	41	14	17	0	3	2	2	3	135	153	-18	41	19	13	0	1	3	4	1	174	158	16	95	309	490	799	1	0	62	122	115	13	2454	630	950	855	57	2498	808	559	1485	252	74	29.37%	209	58	72.25%	9	867	1579	54.91%	861	1613	53.38%	759	1342	56.56%	1443	750	2127	714	1411	695
46	82	29	33	0	7	6	3	4	326	333	-7	41	14	13	0	6	4	2	2	171	165	6	41	15	20	0	1	2	1	2	155	168	-13	88	326	526	852	3	1	66	127	123	16	2611	646	978	973	40	2449	818	725	1566	277	78	28.16%	270	69	74.44%	5	1000	1721	58.11%	910	1637	55.59%	728	1305	55.79%	1505	799	2060	713	1412	704
47	18	5	9	0	1	3	0	0	59	76	-17	9	3	3	0	1	2	0	0	32	32	0	9	2	6	0	0	1	0	0	27	44	-17	15	59	89	148	0	0	10	20	28	1	579	142	210	225	2	534	164	171	325	57	9	15.79%	68	22	67.65%	1	205	384	53.39%	200	365	54.79%	162	294	55.10%	322	160	429	165	329	163
Total Regular Season	182	67	72	0	12	14	9	8	694	720	-26	91	31	33	0	10	8	4	5	338	350	-12	91	36	39	0	2	6	5	3	356	370	-14	198	694	1105	1799	4	1	138	269	266	30	5644	1418	2138	2053	99	5481	1790	1455	3376	586	161	27.47%	547	149	72.76%	15	2072	3684	56.24%	1971	3615	54.52%	1649	2941	56.07%	3271	1709	4617	1592	3153	1563
Playoff
45	6	2	4	0	0	0	0	0	27	33	-6	3	1	2	0	0	0	0	0	16	18	-2	3	1	2	0	0	0	0	0	11	15	-4	4	27	46	73	2	0	2	17	7	1	189	34	94	60	1	212	77	53	120	17	9	52.94%	24	8	66.67%	0	53	118	44.92%	70	144	48.61%	58	108	53.70%	115	58	127	59	118	57
Total Playoff	6	2	4	0	0	0	0	0	27	33	-6	3	1	2	0	0	0	0	0	16	18	-2	3	1	2	0	0	0	0	0	11	15	-4	4	27	46	73	2	0	2	17	7	1	189	34	94	60	1	212	77	53	120	17	9	52.94%	24	8	66.67%	0	53	118	44.92%	70	144	48.61%	58	108	53.70%	115	58	127	59	118	57

Back to the Top