Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Thugs

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

Thugs

GP: 28 | W: 13 | L: 12 | OTL: 3 | P: 29
GF: 114 | GA: 119 | PP%: 29.89% | PK%: 76.77%
GM : Jean-Philippe Chartier | Morale : 90 | Team Overall : 61
Next Games #443 vs Spartans

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

Boston Bruins
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	TA	SP
1	Anthony Mantha			X		100.00	69	54	82	78	93	71	81	62	30	60	63	56	70	88	79	0	90	66		0
2	Nicolas Deslauriers		X			100.00	99	87	49	75	78	51	97	51	30	46	56	67	65	92	79	0	90	63	X	0
3	Max Comtois		X			100.00	75	57	63	79	75	69	77	57	30	53	62	55	69	84	75	0	90	63		0
4	Brendan Gallagher			X		100.00	56	48	62	84	53	71	45	61	30	53	68	58	68	90	81	0	90	62	X	0
5	Jesse Puljujarvi			X		100.00	88	51	83	79	74	61	91	54	30	52	55	56	66	84	73	0	90	62	X	0
6	Logan Brown (R)	X				99.00	62	45	88	76	87	52	40	53	65	51	55	59	66	85	72	0	90	60	X	0
7	Alexandre Carrier				X	97.00	76	48	78	83	46	75	52	55	30	53	56	84	66	86	78	0	90	67		0
8	Pierre-Olivier Joseph (R)				X	96.00	72	45	79	84	57	64	91	58	30	57	58	72	67	83	72	0	90	67		0
9	Vincent Desharnais				X	100.00	74	48	71	76	80	56	43	51	30	51	50	87	65	86	74	0	90	66		0
10	Philippe Myers				X	100.00	81	45	90	76	82	50	40	52	30	48	56	68	66	86	74	0	90	64	X	0
11	Samuel Bolduc (R)				X	100.00	75	45	92	76	79	60	40	53	30	44	62	59	66	82	70	0	90	61		0
12	Nicolas Meloche				X	100.00	50	45	95	74	72	50	40	45	30	40	50	55	50	86	73	0	90	57		0
13	Maxence Guenette (R)				X	100.00	50	45	95	78	53	50	40	45	30	40	50	59	50	81	68	0	90	56		0
14	Maxime Lajoie				X	100.00	50	45	95	76	61	50	40	45	30	40	50	55	50	85	72	0	90	56		0
Scratches
1	Anthony Beauvillier			X		93.00	67	45	87	87	54	81	99	65	30	62	68	58	72	85	78	0	90	68		0
2	Nick Foligno		X			100.00	99	54	75	81	71	62	72	63	30	62	64	67	69	95	84	0	90	67		0
3	Joe Veleno	X				94.00	89	45	85	79	69	64	98	55	73	51	59	63	67	83	73	0	90	65		0
4	Samuel Poulin (R)		X			100.00	50	45	92	74	72	50	40	47	30	44	50	55	50	82	69	0	90	54		0
5	Kole Lind (R)			X		100.00	50	45	95	79	57	50	40	45	30	40	50	55	50	85	72	0	90	53		0
6	Ben Jones (R)	X				100.00	50	45	95	77	60	50	40	45	30	40	50	55	50	84	71	0	90	53		0
7	Alexandre Fortin (R)		X			100.00	50	45	95	79	52	50	40	45	30	40	50	55	50	86	73	0	90	52		0

	TEAM AVERAGE					99.00	68	49	83	79	68	59	59	53	34	49	56	62	62	86	74	0	90	61

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	Kevin Poulin	95.00	70	40	40	87	65	65	65	65	65	65	65	87	82	0	90	59	0
Scratches
1	Cayden Primeau (R)	100.00	70	50	60	88	70	70	70	70	70	70	70	83	71	0	90	62	0
2	Cory Schneider	100.00	70	40	40	90	65	65	65	65	65	65	65	95	82	0	90	59	0
3	Antoine Bibeau	100.00	70	40	40	91	65	65	65	65	65	65	65	85	72	0	90	58	0

	TEAM AVERAGE	98.75	70	43	45	89	66	66	66	66	66	66	66	88	77	0	90	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Guy Boucher	65	65	65	65	86	77	68	CAN	52	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	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	PSS	FW	FL	FT	S1	S2	S3
1	Joe Veleno	Thugs (BOS)	C	25	14	22	36	8	14	10	50	52	77	9	38	18.18%	15	539	21.59	3	6	9	14	55	3	53	2	2	61.64%	670	14	15	1	1.33	0	1	0	1	2	1	2
2	Anthony Beauvillier	Thugs (BOS)	RW	17	12	19	31	0	24	10	35	35	105	25	58	11.43%	12	412	24.26	3	6	9	14	41	3	40	1	0	30.81%	172	27	16	0	1.50	1	0	0	2	1	4	0
3	Max Comtois	Thugs (BOS)	LW	25	14	14	28	1	46	10	55	25	79	17	54	17.72%	15	437	17.49	2	3	5	12	23	0	19	2	1	46.67%	30	27	16	1	1.28	0	1	0	1	3	2	1
4	Jesse Puljujarvi	Thugs (BOS)	RW	21	11	11	22	-2	15	5	35	22	63	24	38	17.46%	7	339	16.16	5	2	7	10	26	0	3	2	0	61.54%	26	17	7	0	1.30	0	0	1	0	2	0	0
5	Michael Amadio	Boston Bruins	C	23	12	9	21	-13	9	5	30	30	81	33	50	14.81%	10	421	18.32	6	1	7	17	39	1	36	1	0	39.34%	305	27	19	0	1.00	0	1	0	0	0	3	2
6	Pierre-Olivier Joseph	Thugs (BOS)	D	22	3	17	20	1	19	5	22	26	51	18	19	5.88%	24	521	23.69	1	4	5	9	61	2	53	0	0	0.00%	0	5	25	0	0.77	0	0	1	0	1	0	2
7	Nick Foligno	Thugs (BOS)	LW	14	8	11	19	2	4	0	25	17	67	22	47	11.94%	7	315	22.55	1	4	5	8	30	0	30	1	0	43.75%	16	16	9	1	1.20	1	0	0	0	2	0	0
8	Logan Brown	Thugs (BOS)	C	28	7	12	19	7	0	0	18	40	75	26	36	9.33%	13	446	15.95	1	1	2	3	19	0	15	1	1	60.31%	262	13	14	0	0.85	0	0	0	0	2	0	1
9	Anthony Mantha	Thugs (BOS)	RW	17	8	10	18	-7	6	0	27	19	62	23	41	12.90%	8	353	20.77	3	2	5	7	34	1	26	1	0	29.55%	44	16	8	1	1.02	1	0	0	0	1	0	0
10	Brendan Gallagher	Thugs (BOS)	RW	28	7	9	16	-5	30	10	33	37	82	15	53	8.54%	12	408	14.61	0	1	1	5	17	1	21	0	1	58.62%	58	20	11	0	0.78	0	1	0	1	0	2	1
11	Alexandre Carrier	Thugs (BOS)	D	26	1	14	15	-1	19	5	27	35	38	19	15	2.63%	38	614	23.64	0	3	3	9	69	0	79	0	0	0.00%	1	7	31	0	0.49	0	1	0	0	0	0	1
12	Maxime Lajoie	Thugs (BOS)	D	27	5	4	9	9	0	0	7	18	28	13	13	17.86%	9	351	13.01	0	0	0	0	5	0	10	1	0	50.00%	2	4	15	0	0.51	0	0	0	0	1	1	2
13	Vincent Desharnais	Thugs (BOS)	D	24	3	5	8	-7	32	10	36	35	22	11	8	13.64%	34	447	18.63	1	2	3	6	42	0	47	0	0	0.00%	0	3	35	0	0.36	0	0	0	2	0	1	1
14	Samuel Bolduc	Thugs (BOS)	D	28	0	4	4	-9	2	0	19	24	13	10	7	0.00%	15	423	15.14	0	0	0	0	11	0	13	0	0	25.00%	4	6	12	0	0.19	0	0	0	0	0	0	0
15	Nicolas Deslauriers	Thugs (BOS)	LW	19	2	2	4	-16	50	20	40	20	18	7	22	11.11%	7	329	17.36	0	1	1	2	32	0	28	1	0	39.13%	23	6	6	0	0.24	0	1	0	3	0	0	0
16	Philippe Myers	Thugs (BOS)	D	28	0	4	4	-12	0	0	19	31	29	19	11	0.00%	36	540	19.30	0	0	0	4	49	0	58	0	0	0.00%	0	5	22	0	0.15	0	0	0	0	0	0	0
17	Nicolas Meloche	Thugs (BOS)	D	28	0	1	1	3	0	0	5	14	9	3	3	0.00%	17	389	13.91	0	0	0	0	4	0	21	0	0	0.00%	0	0	11	0	0.05	0	0	0	0	0	0	0
18	Maxence Guenette	Thugs (BOS)	D	13	0	0	0	-1	0	0	1	0	0	0	2	0.00%	3	91	7.02	0	0	0	0	0	0	2	0	0	0.00%	0	0	4	0	0.00	0	0	0	0	0	0	0
Team Total or Average				413	107	168	275	-42	270	90	484	480	899	294	515	11.90%	282	7383	17.88	26	36	62	120	565	11	560	13	5	52.01%	1613	213	276	4	0.74	3	6	2	10	15	14	13

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	GA	SA	SAR	A	PS %	PSA	ST	BG	S2
1	Cayden Primeau	Thugs (BOS)	18	10	5	2	0.901	3.33	1026	0	57	574	289	2	0.667	3	18	0	2
2	Kevin Poulin	Thugs (BOS)	9	2	6	1	0.830	5.35	538	2	48	283	154	0	0.000	0	9	10	0
Team Total or Average			27	12	11	3	0.877	4.03	1565	2	105	857	443	2	0.667	3	27	10	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
Alexandre Carrier	Thugs (BOS)	D	26	1996-10-08	No	174 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	3,330,000$	0$	0$	No
Alexandre Fortin	Thugs (BOS)	LW	25	1997-10-12	Yes	172 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	800,000$	0$	0$	No
Anthony Beauvillier	Thugs (BOS)	RW	26	1997-06-08	No	180 Lbs	5 ft11	No	No	No	5	RFA	Pro & Farm	2,500,000$	0$	0$	No
Anthony Mantha	Thugs (BOS)	RW	29	1994-09-16	No	234 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	5,700,000$	0$	0$	No
Antoine Bibeau	Thugs (BOS)	G	29	1994-05-01	No	213 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	1,000,000$	0$	0$	No
Ben Jones	Thugs (BOS)	C	24	1999-02-26	Yes	187 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No
Brendan Gallagher	Thugs (BOS)	RW	31	1992-05-06	No	186 Lbs	5 ft9	No	Yes	No	1	UFA	Pro & Farm	4,500,000$	0$	0$	No
Cayden Primeau	Thugs (BOS)	G	24	1999-08-11	Yes	199 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	1,000,000$	0$	0$	No
Cory Schneider	Thugs (BOS)	G	37	1986-03-18	No	210 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	5,000,000$	0$	0$	No
Jesse Puljujarvi	Thugs (BOS)	RW	25	1998-05-07	No	201 Lbs	6 ft4	No	Yes	No	5	RFA	Pro & Farm	800,000$	0$	0$	No
Joe Veleno	Thugs (BOS)	C	23	2000-01-13	No	203 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	1,250,000$	0$	0$	No
Kevin Poulin	Thugs (BOS)	G	31	1991-10-12	No	199 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	800,000$	0$	0$	No
Kole Lind	Thugs (BOS)	RW	24	1998-10-16	Yes	178 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	1,000,000$	0$	0$	No
Logan Brown	Thugs (BOS)	C	25	1998-03-05	Yes	218 Lbs	6 ft6	No	Yes	No	5	RFA	Pro & Farm	800,000$	0$	0$	No
Max Comtois	Thugs (BOS)	LW	24	1999-01-08	No	210 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	1,500,000$	0$	0$	No
Maxence Guenette	Thugs (BOS)	D	22	2001-04-28	Yes	181 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	800,000$	0$	0$	No
Maxime Lajoie	Thugs (BOS)	D	25	1997-11-05	No	196 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	800,000$	0$	0$	No
Nick Foligno	Thugs (BOS)	LW	35	1987-10-31	No	210 Lbs	6 ft0	No	No	No	5	UFA	Pro & Farm	2,000,000$	0$	0$	No
Nicolas Deslauriers	Thugs (BOS)	LW	32	1991-02-22	No	220 Lbs	6 ft1	No	Yes	No	2	UFA	Pro & Farm	1,000,000$	0$	0$	No
Nicolas Meloche	Thugs (BOS)	D	26	1997-07-18	No	211 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	1,000,000$	0$	0$	No
Philippe Myers	Thugs (BOS)	D	26	1997-01-25	No	219 Lbs	6 ft6	No	Yes	No	1	RFA	Pro & Farm	2,500,000$	0$	0$	No
Pierre-Olivier Joseph	Thugs (BOS)	D	24	1999-07-01	Yes	185 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	1,500,000$	0$	0$	No
Samuel Bolduc	Thugs (BOS)	D	22	2000-12-09	Yes	220 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	850,000$	0$	0$	No
Samuel Poulin	Thugs (BOS)	LW	22	2001-02-25	Yes	208 Lbs	6 ft1	No	No	No	4	RFA	Pro & Farm	800,000$	0$	0$	No
Vincent Desharnais	Thugs (BOS)	D	27	1996-05-29	No	215 Lbs	6 ft6	No	No	No	4	RFA	Pro & Farm	1,000,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	26.56	201 Lbs	6 ft2	3.12	1,723,200$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2	Nicolas Deslauriers	Logan Brown	Anthony Mantha	30	1	2	2
3	Max Comtois	Brendan Gallagher	Jesse Puljujarvi	25	1	2	2
4			Brendan Gallagher	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Alexandre Carrier	Pierre-Olivier Joseph	35	1	2	2
2	Vincent Desharnais	Philippe Myers	30	1	2	2
3	Samuel Bolduc	Nicolas Meloche	25	1	2	2
4	Maxime Lajoie	Maxence Guenette	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				55	1	2	2
2	Nicolas Deslauriers	Logan Brown	Anthony Mantha	45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Alexandre Carrier	Pierre-Olivier Joseph	55	1	2	2
2	Vincent Desharnais	Philippe Myers	45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2	Anthony Mantha		45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Alexandre Carrier	Pierre-Olivier Joseph	55	1	2	2
2	Vincent Desharnais	Philippe Myers	45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		55	1	2	2	Alexandre Carrier	Pierre-Olivier Joseph	55	1	2	2
2		45	1	2	2	Vincent Desharnais	Philippe Myers	45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2	Anthony Mantha		45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Alexandre Carrier	Pierre-Olivier Joseph	55	1	2	2
2	Vincent Desharnais	Philippe Myers	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
			Alexandre Carrier	Pierre-Olivier Joseph

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
			Alexandre Carrier	Pierre-Olivier Joseph

Extra Forwards
Normal	PowerPlay	Penalty Kill
Max Comtois, Jesse Puljujarvi, Nicolas Deslauriers	Max Comtois, Jesse Puljujarvi	Nicolas Deslauriers

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Samuel Bolduc, Nicolas Meloche, Maxime Lajoie	Samuel Bolduc	Nicolas Meloche, Maxime Lajoie

Penalty Shots
, , Anthony Mantha, , Nicolas Deslauriers

Goalie
#1 : , #2 : Kevin Poulin

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	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	22	60	30	2	24	258	378	302	11	25	6	4	21	4	1	25.00%	2	1	50.00%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
2	Barracudas	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	22	60	30	2	31	258	378	302	11	21	6	12	11	4	2	50.00%	6	0	100.00%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
3	Chiwawa	2	1	0	0	1	0	0	0	12	6	6	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	8	3	5	4	1.000	12	19	31	0	0	22	60	30	2	74	258	378	302	11	81	19	24	48	3	0	0.00%	11	3	72.73%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
4	Marmots	1	0	0	0	0	1	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	5	6	-1	1	0.500	5	8	13	0	0	22	60	30	2	34	258	378	302	11	45	13	7	18	3	0	0.00%	1	0	100.00%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
5	Predateurs	2	0	1	0	0	0	0	1	6	15	-9	1	0	0	0	0	0	0	1	4	5	-1	1	0	1	0	0	0	0	0	2	10	-8	1	0.250	6	10	16	0	0	22	60	30	2	63	258	378	302	11	91	25	80	31	6	2	33.33%	10	2	80.00%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
6	Raptors	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	22	60	30	2	33	258	378	302	11	41	13	2	26	1	0	0.00%	1	0	100.00%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
7	Rockets	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	11	18	0	0	22	60	30	2	52	258	378	302	11	59	20	6	43	5	2	40.00%	3	0	100.00%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
8	Saguenéens	3	1	2	0	0	0	0	0	9	9	0	2	1	1	0	0	0	0	0	7	6	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	9	16	25	0	0	22	60	30	2	113	258	378	302	11	93	24	28	67	6	2	33.33%	9	0	100.00%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
9	Scorpions	3	1	2	0	0	0	0	0	14	15	-1	2	1	1	0	0	0	0	0	10	10	0	1	0	1	0	0	0	0	0	4	5	-1	2	0.333	14	22	36	0	0	22	60	30	2	108	258	378	302	11	113	38	20	64	8	3	37.50%	10	3	70.00%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
10	Snowbirds	2	0	2	0	0	0	0	0	9	15	-6	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	5	10	-5	0	0.000	9	15	24	0	0	22	60	30	2	62	258	378	302	11	55	20	14	35	4	3	75.00%	7	5	28.57%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
11	Spartans	2	1	0	0	0	1	0	0	9	6	3	1	0	0	0	0	1	0	0	4	5	-1	1	1	0	0	0	0	0	0	5	1	4	3	0.750	9	12	21	0	0	22	60	30	2	69	258	378	302	11	48	17	25	35	6	1	16.67%	6	0	100.00%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
12	Supreme	2	0	2	0	0	0	0	0	5	13	-8	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	5	7	12	0	0	22	60	30	2	67	258	378	302	11	83	24	22	27	8	1	12.50%	11	3	72.73%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
	Total	28	11	12	0	2	2	0	1	114	119	-5	14	5	6	0	1	1	0	1	52	56	-4	14	6	6	0	1	1	0	0	62	63	-1	29	0.518	114	186	300	0	0	22	60	30	2	946	258	378	302	11	934	307	308	541	87	26	29.89%	99	23	76.77%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
14	Twins	1	1	0	0	0	0	0	0	7	2	5	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	2	5	2	1.000	7	12	19	0	0	22	60	30	2	33	258	378	302	11	25	6	23	8	5	2	40.00%	4	0	100.00%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
15	Vandals	1	0	0	0	1	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	4	3	1	2	1.000	4	6	10	0	0	22	60	30	2	25	258	378	302	11	27	11	6	20	2	1	50.00%	3	1	66.67%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
16	Warriors	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	13	21	0	0	22	60	30	2	76	258	378	302	11	72	40	16	47	11	4	36.36%	8	1	87.50%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
17	Xpress	2	1	1	0	0	0	0	0	12	11	1	1	1	0	0	0	0	0	0	8	4	4	1	0	1	0	0	0	0	0	4	7	-3	2	0.500	12	22	34	0	0	22	60	30	2	82	258	378	302	11	55	25	19	40	11	2	18.18%	7	4	42.86%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
	_Since Last GM Reset	28	11	12	0	2	2	0	1	114	119	-5	14	5	6	0	1	1	0	1	52	56	-4	14	6	6	0	1	1	0	0	62	63	-1	29	0.518	114	186	300	0	0	22	60	30	2	946	258	378	302	11	934	307	308	541	87	26	29.89%	99	23	76.77%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
	_Vs Conference	20	6	10	0	2	1	0	1	80	91	-11	10	2	5	0	1	1	0	1	35	46	-11	10	4	5	0	1	0	0	0	45	45	0	18	0.450	80	128	208	0	0	22	60	30	2	678	258	378	302	11	678	203	256	372	53	17	32.08%	78	17	78.21%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
	_Vs Division	15	4	9	0	1	1	0	0	59	69	-10	9	2	5	0	1	1	0	0	31	41	-10	6	2	4	0	0	0	0	0	28	28	0	11	0.367	59	93	152	0	0	22	60	30	2	526	258	378	302	11	514	155	135	302	36	10	27.78%	55	14	74.55%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
28	29	W1	114	186	300	946	934	307	308	541	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	11	12	2	2	0	1	114	119

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	5	6	1	1	0	1	52	56

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	6	6	1	1	0	0	62	63

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	3	1	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
87	26	29.89%	99	23	76.77%	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
258	378	302	11	22	60	30	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
333	603	55.22%	290	601	48.25%	248	467	53.10%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
549	294	613	255	525	262

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	SO	Link
1 - 2024-04-06	9	Chiwawa	3	Thugs	4	W	X		BoxScore
2 - 2024-04-07	21	Thugs	8	Chiwawa	3	W			BoxScore
4 - 2024-04-09	34	Thugs	2	Saguenéens	3	L			BoxScore
6 - 2024-04-11	55	Spartans	5	Thugs	4	L	X		BoxScore
7 - 2024-04-12	63	Thugs	4	Supreme	6	L			BoxScore
9 - 2024-04-14	83	Snowbirds	5	Thugs	4	L			BoxScore
10 - 2024-04-15	95	Thugs	4	Xpress	7	L			BoxScore
11 - 2024-04-16	106	Thugs	4	Scorpions	5	L			BoxScore
12 - 2024-04-17	120	Scorpions	6	Thugs	8	W			BoxScore
14 - 2024-04-19	145	Saguenéens	3	Thugs	5	W			BoxScore
16 - 2024-04-21	163	Raptors	5	Thugs	1	L			BoxScore
18 - 2024-04-23	187	Rockets	2	Thugs	3	W			BoxScore
19 - 2024-04-24	193	Thugs	5	Snowbirds	10	L			BoxScore
21 - 2024-04-26	218	Supreme	7	Thugs	1	L			BoxScore
22 - 2024-04-27	228	Thugs	5	Spartans	1	W			BoxScore
23 - 2024-04-28	242	Thugs	4	Warriors	3	W			BoxScore
24 - 2024-04-29	257	Scorpions	4	Thugs	2	L			BoxScore
26 - 2024-05-01	275	Thugs	4	Barracudas	2	W			BoxScore
27 - 2024-05-02	287	Saguenéens	3	Thugs	2	L			BoxScore
29 - 2024-05-04	301	Thugs	7	Twins	2	W			BoxScore
30 - 2024-05-05	320	Predateurs	5	Thugs	4	L	X	X	BoxScore
32 - 2024-05-07	336	Thugs	4	Rockets	2	W			BoxScore
34 - 2024-05-09	353	Bandits	3	Thugs	2	L			BoxScore
35 - 2024-05-10	369	Thugs	5	Marmots	6	L	X		BoxScore
36 - 2024-05-11	381	Warriors	1	Thugs	4	W			BoxScore
38 - 2024-05-13	400	Thugs	4	Vandals	3	W	X		BoxScore
39 - 2024-05-14	412	Thugs	2	Predateurs	10	L			BoxScore
40 - 2024-05-15	427	Xpress	4	Thugs	8	W			BoxScore
42 - 2024-05-17	443	Thugs	-	Spartans	-
43 - 2024-05-18	459	Spartans	-	Thugs	-
44 - 2024-05-19	472	Thugs	-	Goons	-
46 - 2024-05-21	488	Raptors	-	Thugs	-
47 - 2024-05-22	504	Thugs	-	Scorpions	-
48 - 2024-05-23	518	Igloos	-	Thugs	-
50 - 2024-05-25	535	Farmers	-	Thugs	-
52 - 2024-05-27	553	Thugs	-	Marlies	-
53 - 2024-05-28	567	Thugs	-	Farmers	-
54 - 2024-05-29	580	Thugs	-	Smirnoff Ice	-
55 - 2024-05-30	589	Husky	-	Thugs	-
58 - 2024-06-02	611	Vandals	-	Thugs	-
59 - 2024-06-03	630	Rockets	-	Thugs	-
61 - 2024-06-05	649	Thugs	-	Hunters	-
62 - 2024-06-06	659	Thugs	-	Chiwawa	-
63 - 2024-06-07	674	Goons	-	Thugs	-
65 - 2024-06-09	689	Thugs	-	Supreme	-
66 - 2024-06-10	703	CoolFm	-	Thugs	-
68 - 2024-06-12	723	Chiwawa	-	Thugs	-
69 - 2024-06-13	738	Thugs	-	Bandits	-
70 - 2024-06-14	755	Smirnoff Ice	-	Thugs	-
72 - 2024-06-16	770	Thugs	-	Husky	-
73 - 2024-06-17	784	Marmots	-	Thugs	-
74 - 2024-06-18	803	Thugs	-	Grizzlies	-
75 - 2024-06-19	816	Grizzlies	-	Thugs	-
77 - 2024-06-21	835	Thugs	-	Bayou	-
78 - 2024-06-22	847	Bayou	-	Thugs	-
79 - 2024-06-23	860	Thugs	-	CoolFm	-
81 - 2024-06-25	879	Hunters	-	Thugs	-
83 - 2024-06-27	897	Thugs	-	Vipers	-
84 - 2024-06-28	908	Supreme	-	Thugs	-
85 - 2024-06-29	921	Thugs	-	Raptors	-
87 - 2024-07-01	934	Thugs	-	TigersCats	-
88 - 2024-07-02	951	Twins	-	Thugs	-
Trade Deadline --- Trades can’t be done after this day is simulated!
90 - 2024-07-04	970	Thugs	-	Xpress	-
91 - 2024-07-05	984	TigersCats	-	Thugs	-
92 - 2024-07-06	996	Thugs	-	Outlaws	-
94 - 2024-07-08	1016	Barracudas	-	Thugs	-
95 - 2024-07-09	1031	Thugs	-	Igloos	-
97 - 2024-07-11	1044	Thugs	-	Raptors	-
98 - 2024-07-12	1053	Snowbirds	-	Thugs	-
100 - 2024-07-14	1071	Thugs	-	Snowbirds	-
101 - 2024-07-15	1082	Outlaws	-	Thugs	-
104 - 2024-07-18	1108	Wolves	-	Thugs	-
105 - 2024-07-19	1118	Thugs	-	Wolves	-
107 - 2024-07-21	1141	Marlies	-	Thugs	-
110 - 2024-07-24	1155	Vipers	-	Thugs	-
112 - 2024-07-26	1173	Thugs	-	Saguenéens	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	25	15
Attendance	28,000	13,965
Attendance PCT	100.00%	99.75%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
24	2998 - 99.92%	77,955$	1,091,370$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,232,432$	4,308,000$	4,308,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,524,472$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,870,920$	73	55,823$	4,075,079$

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	21	45	0	5	8	3	0	222	301	-79	41	9	25	0	2	3	2	0	109	156	-47	41	12	20	0	3	5	1	0	113	145	-32	66	222	399	621	1	4	39	76	99	10	1912	452	648	787	36	2174	655	582	1075	223	49	21.97%	229	56	75.55%	5	639	1337	47.79%	681	1409	48.33%	552	1261	43.77%	1975	1371	1801	624	1185	573
46	82	44	25	0	4	3	3	3	361	296	65	41	25	11	0	2	2	1	0	177	135	42	41	19	14	0	2	1	2	3	184	161	23	108	361	596	957	3	1	76	130	148	9	2675	756	946	954	39	2437	800	1173	1208	272	87	31.99%	319	78	75.55%	9	934	1706	54.75%	857	1658	51.69%	680	1344	50.60%	1706	1042	1952	675	1303	645
47	28	11	12	0	2	2	0	1	114	119	-5	14	5	6	0	1	1	0	1	52	56	-4	14	6	6	0	1	1	0	0	62	63	-1	29	114	186	300	0	0	22	60	30	2	946	258	378	302	11	934	307	308	541	87	26	29.89%	99	23	76.77%	0	333	603	55.22%	290	601	48.25%	248	467	53.10%	549	294	613	255	525	262
Total Regular Season	192	76	82	0	11	13	6	4	697	716	-19	96	39	42	0	5	6	3	1	338	347	-9	96	37	40	0	6	7	3	3	359	369	-10	203	697	1181	1878	4	5	137	266	277	21	5533	1466	1972	2043	86	5545	1762	2063	2824	582	162	27.84%	647	157	75.73%	14	1906	3646	52.28%	1828	3668	49.84%	1480	3072	48.18%	4232	2708	4367	1554	3015	1481

Back to the Top