Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Barracudas

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

Barracudas

GP: 8 | W: 3 | L: 4 | OTL: 1 | P: 7
GF: 22 | GA: 29 | PP%: 12.50% | PK%: 66.67%
GM : Maxime Guillemette | Morale : 90 | Team Overall : 57
Next Games #140 vs Vipers

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

San Jose Rhinos
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	Juraj Slafkovsky (R)		X			100.00	77	48	72	75	91	61	47	56	30	53	58	57	67	79	68	0	90	60	0
2	Tyler Bozak	X				100.00	50	45	95	77	62	50	40	45	30	40	50	55	50	97	84	0	90	54	0
3	Calvin Thurkauf (R)	X				100.00	50	45	95	75	72	50	40	45	30	40	50	55	50	86	73	0	90	53	0
4	Christoph Bertschy	X				100.00	50	45	95	78	55	50	40	45	30	40	50	55	50	89	76	0	90	53	0
5	Taylor Leier		X			100.00	50	45	95	78	54	50	40	45	30	40	50	55	50	89	76	0	90	53	0
6	Jean-Sebastien Dea	X				100.00	50	45	95	79	51	50	40	45	30	40	50	60	50	89	76	0	90	53	0
7	Zack Mitchell			X		100.00	50	45	95	76	66	50	40	45	30	40	50	55	50	90	77	0	90	53	0
8	Nathan Gerbe		X			100.00	50	45	95	79	40	50	40	45	30	40	50	55	50	96	83	0	90	52	0
9	Logan Stanley				X	100.00	97	48	66	73	96	57	40	52	30	48	56	71	66	84	72	0	90	66	0
10	Brad Hunt				X	100.00	53	45	88	83	43	50	57	55	30	50	60	59	67	94	82	0	90	60	0
11	Mark Borowiecki				X	100.00	51	51	79	75	67	50	40	45	30	40	50	68	50	93	80	0	90	59	0
12	Julian Melchiori				X	100.00	50	45	95	74	78	50	40	45	30	40	50	55	50	92	79	0	90	58	0
Scratches

	TEAM AVERAGE					100.00	57	46	89	77	65	52	42	47	30	43	52	58	54	90	77	0	90	56

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	Alex Lyon	100.00	77	50	83	87	78	76	77	76	78	74	70	90	80	0	90	67	0
2	Marcus Hogberg	100.00	70	40	40	94	65	65	65	65	65	65	65	86	75	0	90	59	0
Scratches
1	Gilles Senn (R)	100.00	70	40	40	86	65	65	65	65	65	65	65	84	71	0	90	58	0
2	Maxime Lagace	100.00	70	40	40	85	65	65	65	65	65	65	65	89	76	0	90	58	0

	TEAM AVERAGE	100.00	72	43	51	88	68	68	68	68	68	67	66	87	76	0	90	61

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Travis Green	65	65	65	65	87	77	66	CAN	53	2	2,500,000$

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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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
Alex Lyon	Barracudas (SJR)	G	30	1992-12-09	No	201 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	1,100,000$	0$	0$	No
Brad Hunt	Barracudas (SJR)	D	35	1988-08-24	No	177 Lbs	5 ft9	No	No	No	4	UFA	Pro & Farm	775,000$	0$	0$	No
Calvin Thurkauf	Barracudas (SJR)	C	26	1997-06-27	Yes	204 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	1,000,000$	0$	0$	No
Christoph Bertschy	Barracudas (SJR)	C	28	1994-10-12	No	185 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	700,000$	0$	0$	No
Gilles Senn	Barracudas (SJR)	G	27	1996-03-01	Yes	191 Lbs	6 ft5	No	No	No	3	RFA	Pro & Farm	700,000$	0$	0$	No
Jean-Sebastien Dea	Barracudas (SJR)	C	29	1994-02-08	No	174 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	700,000$	0$	0$	No
Julian Melchiori	Barracudas (SJR)	D	31	1991-10-12	No	214 Lbs	6 ft5	No	No	No	4	UFA	Pro & Farm	775,000$	0$	0$	No
Juraj Slafkovsky	Barracudas (SJR)	LW	19	2004-03-30	Yes	238 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	1,200,000$	0$	0$	No
Logan Stanley	Barracudas (SJR)	D	25	1998-05-26	No	242 Lbs	6 ft7	No	No	No	2	RFA	Pro & Farm	1,000,000$	0$	0$	No
Marcus Hogberg	Barracudas (SJR)	G	28	1994-11-25	No	222 Lbs	6 ft5	No	No	No	4	UFA	Pro & Farm	750,000$	0$	0$	No
Mark Borowiecki	Barracudas (SJR)	D	34	1989-07-12	No	204 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	1,500,000$	0$	0$	No
Maxime Lagace	Barracudas (SJR)	G	30	1993-01-12	No	190 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No
Nathan Gerbe	Barracudas (SJR)	LW	36	1987-07-24	No	176 Lbs	5 ft4	No	No	No	1	UFA	Pro & Farm	900,000$	0$	0$	No
Taylor Leier	Barracudas (SJR)	LW	28	1994-10-12	No	180 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	700,000$	0$	0$	No
Tyler Bozak	Barracudas (SJR)	C	37	1986-03-19	No	187 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	1,500,000$	0$	0$	No
Zack Mitchell	Barracudas (SJR)	RW	29	1993-10-12	No	196 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	900,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
16	29.50	199 Lbs	6 ft1	2.38	943,750$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2				30	1	2	2
3				25	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	1	2	2
2			30	1	2	2
3			25	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				55	1	2	2
2				45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

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

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			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			55	1	2	2
2		45	1	2	2			45	1	2	2

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

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			55	1	2	2
2			45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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	Bayou	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	4	6	0	0	6	6	9	1	21	47	52	52	5	18	4	6	12	0	0	0.00%	3	1	66.67%	0	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53
2	Chiwawa	1	0	1	0	0	0	0	0	2	6	-4	1	0	1	0	0	0	0	0	2	6	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	6	6	9	1	16	47	52	52	5	28	10	18	16	1	0	0.00%	9	3	66.67%	0	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53
3	Predateurs	2	1	0	0	1	0	0	0	8	5	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	1	0	0	0	4	3	1	4	1.000	8	16	24	0	0	6	6	9	1	45	47	52	52	5	52	19	23	40	11	1	9.09%	9	3	66.67%	1	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53
4	Supreme	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	6	6	9	1	20	47	52	52	5	36	15	12	12	1	0	0.00%	6	2	66.67%	0	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53
	Total	8	2	4	0	1	1	0	0	22	29	-7	4	2	2	0	0	0	0	0	12	13	-1	4	0	2	0	1	1	0	0	10	16	-6	7	0.438	22	38	60	0	0	6	6	9	1	156	47	52	52	5	207	77	88	110	24	3	12.50%	39	13	66.67%	1	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53
6	Vandals	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	6	9	15	0	0	6	6	9	1	38	47	52	52	5	50	23	16	19	7	1	14.29%	8	2	75.00%	0	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53
7	Wolves	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	3	5	0	0	6	6	9	1	16	47	52	52	5	23	6	13	11	4	1	25.00%	4	2	50.00%	0	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53
	_Since Last GM Reset	8	2	4	0	1	1	0	0	22	29	-7	4	2	2	0	0	0	0	0	12	13	-1	4	0	2	0	1	1	0	0	10	16	-6	7	0.438	22	38	60	0	0	6	6	9	1	156	47	52	52	5	207	77	88	110	24	3	12.50%	39	13	66.67%	1	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53
	_Vs Conference	8	2	4	0	1	1	0	0	22	29	-7	4	2	2	0	0	0	0	0	12	13	-1	4	0	2	0	1	1	0	0	10	16	-6	7	0.438	22	38	60	0	0	6	6	9	1	156	47	52	52	5	207	77	88	110	24	3	12.50%	39	13	66.67%	1	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53
	_Vs Division	6	2	2	0	1	1	0	0	18	19	-1	3	2	1	0	0	0	0	0	10	7	3	3	0	1	0	1	1	0	0	8	12	-4	7	0.583	18	32	50	0	0	6	6	9	1	120	47	52	52	5	143	52	58	82	22	3	13.64%	24	8	66.67%	1	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
8	7	L1	22	38	60	156	207	77	88	110	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	4	1	1	0	0	22	29

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	12	13

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	2	1	1	0	0	10	16

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	4	1	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
24	3	12.50%	39	13	66.67%	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
47	52	52	5	6	6	9	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
62	106	58.49%	79	150	52.67%	75	139	53.96%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
246	186	133	57	107	53

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	11	Predateurs	2	Barracudas	4	W		BoxScore
3 - 2024-04-08	30	Wolves	3	Barracudas	2	L		BoxScore
4 - 2024-04-09	42	Barracudas	2	Bayou	3	L	X	BoxScore
7 - 2024-04-12	65	Chiwawa	6	Barracudas	2	L		BoxScore
8 - 2024-04-13	78	Barracudas	2	Vandals	6	L		BoxScore
9 - 2024-04-14	86	Barracudas	4	Predateurs	3	W	X	BoxScore
11 - 2024-04-16	110	Vandals	2	Barracudas	4	W		BoxScore
12 - 2024-04-17	125	Barracudas	2	Supreme	4	L		BoxScore
13 - 2024-04-18	140	Vipers	-	Barracudas	-
15 - 2024-04-20	151	Barracudas	-	Twins	-
16 - 2024-04-21	170	Twins	-	Barracudas	-
18 - 2024-04-23	191	Bayou	-	Barracudas	-
19 - 2024-04-24	196	Barracudas	-	Vipers	-
21 - 2024-04-26	217	Barracudas	-	Outlaws	-
22 - 2024-04-27	231	Barracudas	-	Wolves	-
23 - 2024-04-28	243	Spartans	-	Barracudas	-
25 - 2024-04-30	261	Barracudas	-	Supreme	-
26 - 2024-05-01	275	Thugs	-	Barracudas	-
28 - 2024-05-03	294	Husky	-	Barracudas	-
30 - 2024-05-05	313	Twins	-	Barracudas	-
31 - 2024-05-06	333	Barracudas	-	Warriors	-
32 - 2024-05-07	344	Barracudas	-	Igloos	-
34 - 2024-05-09	355	Barracudas	-	CoolFm	-
35 - 2024-05-10	368	Snowbirds	-	Barracudas	-
36 - 2024-05-11	387	Vipers	-	Barracudas	-
38 - 2024-05-13	408	Barracudas	-	Xpress	-
39 - 2024-05-14	417	Bayou	-	Barracudas	-
41 - 2024-05-16	435	Wolves	-	Barracudas	-
43 - 2024-05-18	456	Barracudas	-	Farmers	-
44 - 2024-05-19	462	Barracudas	-	Hunters	-
45 - 2024-05-20	477	Smirnoff Ice	-	Barracudas	-
47 - 2024-05-22	502	Rockets	-	Barracudas	-
48 - 2024-05-23	513	Barracudas	-	Grizzlies	-
49 - 2024-05-24	527	Barracudas	-	Marlies	-
50 - 2024-05-25	536	Barracudas	-	Spartans	-
51 - 2024-05-26	552	Predateurs	-	Barracudas	-
53 - 2024-05-28	574	Vandals	-	Barracudas	-
56 - 2024-05-31	595	Bandits	-	Barracudas	-
57 - 2024-06-01	610	Barracudas	-	Bayou	-
59 - 2024-06-03	626	Marlies	-	Barracudas	-
60 - 2024-06-04	637	Barracudas	-	Smirnoff Ice	-
61 - 2024-06-05	646	Barracudas	-	Goons	-
63 - 2024-06-07	663	Barracudas	-	Wolves	-
64 - 2024-06-08	677	Raptors	-	Barracudas	-
65 - 2024-06-09	696	Igloos	-	Barracudas	-
67 - 2024-06-11	719	Marmots	-	Barracudas	-
69 - 2024-06-13	732	Barracudas	-	TigersCats	-
70 - 2024-06-14	750	Barracudas	-	Outlaws	-
71 - 2024-06-15	759	Barracudas	-	Bandits	-
72 - 2024-06-16	768	Supreme	-	Barracudas	-
73 - 2024-06-17	791	CoolFm	-	Barracudas	-
74 - 2024-06-18	809	Xpress	-	Barracudas	-
75 - 2024-06-19	817	Barracudas	-	Scorpions	-
77 - 2024-06-21	838	Barracudas	-	Snowbirds	-
78 - 2024-06-22	850	Warriors	-	Barracudas	-
80 - 2024-06-24	872	Hunters	-	Barracudas	-
81 - 2024-06-25	876	Barracudas	-	Vandals	-
83 - 2024-06-27	905	TigersCats	-	Barracudas	-
85 - 2024-06-29	919	Barracudas	-	Twins	-
86 - 2024-06-30	933	Saguenéens	-	Barracudas	-
87 - 2024-07-01	939	Barracudas	-	Chiwawa	-
89 - 2024-07-03	963	Barracudas	-	Saguenéens	-
Trade Deadline --- Trades can’t be done after this day is simulated!
90 - 2024-07-04	975	Goons	-	Barracudas	-
91 - 2024-07-05	983	Barracudas	-	Husky	-
93 - 2024-07-07	1007	Outlaws	-	Barracudas	-
94 - 2024-07-08	1016	Barracudas	-	Thugs	-
96 - 2024-07-10	1036	Grizzlies	-	Barracudas	-
97 - 2024-07-11	1048	Barracudas	-	Rockets	-
98 - 2024-07-12	1057	Barracudas	-	Predateurs	-
100 - 2024-07-14	1073	Barracudas	-	Vipers	-
101 - 2024-07-15	1079	Barracudas	-	Marmots	-
102 - 2024-07-16	1088	Scorpions	-	Barracudas	-
105 - 2024-07-19	1111	Chiwawa	-	Barracudas	-
107 - 2024-07-21	1134	Farmers	-	Barracudas	-
111 - 2024-07-25	1161	Outlaws	-	Barracudas	-
112 - 2024-07-26	1177	Barracudas	-	Raptors	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	8,000	3,993
Attendance PCT	100.00%	99.83%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
34	2998 - 99.94%	101,969$	407,874$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
424,007$	1,510,000$	1,510,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	158,520$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,466,929$	101	35,487$	3,584,187$

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	31	39	0	5	7	0	0	236	269	-33	41	14	21	0	2	4	0	0	122	132	-10	41	17	18	0	3	3	0	0	114	137	-23	79	236	457	693	4	4	65	80	86	5	1634	422	550	647	15	1814	571	1393	1030	246	39	15.85%	307	72	76.55%	8	643	1234	52.11%	718	1300	55.23%	715	1316	54.33%	2394	1797	1490	555	1057	540
46	82	23	44	0	8	5	1	1	223	257	-34	41	10	27	0	2	2	0	0	101	136	-35	41	13	17	0	6	3	1	1	122	121	1	70	223	424	647	1	3	43	82	89	10	1621	422	526	643	36	1877	554	897	962	218	33	15.14%	309	80	74.11%	4	635	1195	53.14%	705	1298	54.31%	653	1222	53.44%	2403	1805	1495	547	1054	538
47	8	2	4	0	1	1	0	0	22	29	-7	4	2	2	0	0	0	0	0	12	13	-1	4	0	2	0	1	1	0	0	10	16	-6	7	22	38	60	0	0	6	6	9	1	156	47	52	52	5	207	77	88	110	24	3	12.50%	39	13	66.67%	1	62	106	58.49%	79	150	52.67%	75	139	53.96%	246	186	133	57	107	53
Total Regular Season	172	56	87	0	14	13	1	1	481	555	-74	86	26	50	0	4	6	0	0	235	281	-46	86	30	37	0	10	7	1	1	246	274	-28	156	481	919	1400	5	7	114	168	184	16	3411	891	1128	1342	56	3898	1202	2378	2102	488	75	15.37%	655	165	74.81%	13	1340	2535	52.86%	1502	2748	54.66%	1443	2677	53.90%	5043	3789	3119	1160	2218	1132

Back to the Top