Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - Hunters

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

Hunters

GP: 7 | W: 2 | L: 4 | OTL: 1 | P: 5
GF: 26 | GA: 26 | PP%: 12.50% | PK%: 73.33%
GM : Samuel Lachapelle | Morale : 90 | Team Overall : 56
Next Games #113 vs Igloos

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

Moncton Wildcats
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	Austin Czarnik			X		100.00	58	45	87	82	45	56	40	52	73	46	58	71	66	90	78	0	90	60	0
2	Thomas Bordeleau			X		100.00	50	45	95	80	49	76	40	49	30	48	50	63	50	81	73	0	90	56	0
3	Samuel Fagemo (R)		X			100.00	51	45	95	78	66	50	40	51	30	44	58	55	65	83	70	0	90	55	0
4	Alexander Holtz (R)			X		100.00	52	45	84	79	63	51	40	53	30	44	62	55	66	81	68	0	90	55	0
5	Cole Reinhardt (R)		X			100.00	50	45	95	76	66	50	40	45	30	40	50	55	50	83	70	0	90	53	0
6	Joshua Ho-Sang			X		100.00	50	45	95	79	53	50	40	45	30	40	50	55	50	87	74	0	90	53	0
7	Hendrix Lapierre (R)	X				100.00	50	45	95	78	56	50	40	45	30	40	50	55	50	81	68	0	90	52	0
8	Jean-Luc Foudy (R)	X				100.00	50	45	87	79	52	50	40	45	30	40	50	55	50	80	67	0	90	52	0
9	Tyler Kleven (R)				X	99.00	56	45	92	77	69	61	40	49	30	48	50	63	50	81	70	0	90	60	0
10	Tobias Bjornfot (R)				X	100.00	59	45	87	76	61	60	40	47	30	44	50	64	50	82	70	0	90	59	0
11	Carl Dahlstrom				X	100.00	50	45	95	72	85	50	40	45	30	40	50	55	50	88	75	0	90	58	0
12	Mac Hollowell (R)				X	100.00	50	45	92	81	40	54	40	49	30	48	50	61	50	84	72	0	90	57	0
13	Will Butcher				X	100.00	50	45	95	77	52	50	40	45	30	40	50	55	50	88	75	0	90	56	0
Scratches

	TEAM AVERAGE					99.92	52	45	92	78	58	54	40	48	33	43	52	59	54	84	72	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
Scratches

	TEAM AVERAGE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Adam Oates	65	65	65	65	95	73	50	CAN	61	3	700,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPM	PKA	PKP	PKM	FO%	FOT	GA	TA	P/20	S1	S2	S3
1	Thomas Bordeleau	Hunters (MON)	RW	7	3	0	3	-4	0	1	1	11	2	8	27.27%	2	86	12.40	0	0	0	0	25.00%	4	2	2	0.69	1	0	0
2	Thomas Harley	Moncton Wildcats	D	3	0	1	1	3	0	0	0	1	0	1	0.00%	3	56	18.96	4	1	1	4	0.00%	0	0	0	0.35	0	0	1
3	Mac Hollowell	Hunters (MON)	D	7	0	0	0	-2	0	0	1	0	0	0	0.00%	0	27	3.96	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
4	Tyler Kleven	Hunters (MON)	D	7	0	0	0	5	2	1	5	4	3	4	0.00%	16	166	23.72	16	0	0	22	0.00%	0	1	6	0.00	0	1	0
5	Carl Dahlstrom	Hunters (MON)	D	3	0	0	0	2	0	0	0	0	0	0	0.00%	0	38	12.88	0	0	0	0	0.00%	0	0	2	0.00	0	0	0
6	Will Butcher	Hunters (MON)	D	3	0	0	0	-2	0	1	0	0	0	0	0.00%	1	11	3.99	0	0	0	0	0.00%	0	0	0	0.00	0	0	0
Team Total or Average				30	3	1	4	2	2	3	7	16	5	13	18.75%	22	388	12.93	21	1	1	27	25.00%	4	3	10	0.21	1	1	1

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
1	Collin Delia	Moncton Wildcats	1	0	1	0	0.773	6.12	49	0	0	5	22	11	0	0	0.000	0	1	0	0	0	0
Team Total or Average			1	0	1	0	0.773	6.12	49	0	0	5	22	11	0	0	0.000	0	1	0	0	0	0

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
Alexander Holtz	Hunters (MON)	RW	21	2002-01-23	Yes	195 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	1,500,000$	0$	0$	No
Austin Czarnik	Hunters (MON)	RW	30	1992-12-12	No	170 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	4,000,000$	0$	0$	No
Carl Dahlstrom	Hunters (MON)	D	28	1995-01-28	No	229 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	900,000$	0$	0$	No
Cole Reinhardt	Hunters (MON)	LW	23	2000-02-01	Yes	200 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	850,000$	0$	0$	No
Hendrix Lapierre	Hunters (MON)	C	21	2002-02-09	Yes	180 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	900,000$	0$	0$	No
Jean-Luc Foudy	Hunters (MON)	C	21	2002-05-13	Yes	177 Lbs	5 ft11	No	No	No	4	RFA	Pro & Farm	775,000$	0$	0$	No
Joshua Ho-Sang	Hunters (MON)	RW	26	1996-10-12	No	173 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No
Mac Hollowell	Hunters (MON)	D	25	1998-09-26	Yes	170 Lbs	5 ft9	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No
Samuel Fagemo	Hunters (MON)	LW	23	2000-03-14	Yes	200 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	800,000$	0$	0$	No
Thomas Bordeleau	Hunters (MON)	RW	21	2002-01-03	No	175 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	1,200,000$	0$	0$	No
Tobias Bjornfot	Hunters (MON)	D	22	2001-04-06	Yes	200 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	900,000$	0$	0$	No
Tyler Kleven	Hunters (MON)	D	21	2002-01-10	Yes	200 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No
Will Butcher	Hunters (MON)	D	28	1995-01-06	No	190 Lbs	5 ft10	No	No	No	3	UFA	Pro & Farm	950,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
13	23.85	189 Lbs	6 ft0	2.62	1,194,231$

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			Thomas Bordeleau	25	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Tyler Kleven	35	1	2	2
2			30	1	2	2
3			25	1	2	2
4	Mac Hollowell		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		Tyler Kleven	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		Tyler Kleven	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		Tyler Kleven	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		Tyler Kleven	55	1	2	2
2			45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
				Tyler Kleven

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
				Tyler Kleven

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Thomas Bordeleau,	, Thomas Bordeleau

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, , Mac Hollowell		, Mac Hollowell

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	Bandits	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	10	15	0	0	6	10	10	0	22	34	49	69	0	34	13	12	15	3	0	0.00%	6	2	66.67%	0	59	110	53.64%	63	120	52.50%	57	118	48.31%	206	156	124	46	90	45
2	CoolFm	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	4	8	12	0	0	6	10	10	0	22	34	49	69	0	34	9	8	13	0	0	0.00%	4	3	25.00%	1	59	110	53.64%	63	120	52.50%	57	118	48.31%	206	156	124	46	90	45
3	Goons	2	1	1	0	0	0	0	0	6	6	0	2	1	1	0	0	0	0	0	6	6	0	0	0	0	0	0	0	0	0	0	0	0	2	0.500	6	12	18	0	0	6	10	10	0	46	34	49	69	0	58	24	22	17	5	1	20.00%	11	1	90.91%	0	59	110	53.64%	63	120	52.50%	57	118	48.31%	206	156	124	46	90	45
4	Igloos	3	1	2	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	6	0	6	2	0	2	0	0	0	0	0	5	8	-3	2	0.333	11	21	32	0	1	6	10	10	0	62	34	49	69	0	61	19	48	29	8	1	12.50%	9	2	77.78%	0	59	110	53.64%	63	120	52.50%	57	118	48.31%	206	156	124	46	90	45
	Total	7	2	4	0	0	1	0	0	26	26	0	3	2	1	0	0	0	0	0	12	6	6	4	0	3	0	0	1	0	0	14	20	-6	5	0.357	26	51	77	0	1	6	10	10	0	152	34	49	69	0	187	65	90	74	16	2	12.50%	30	8	73.33%	1	59	110	53.64%	63	120	52.50%	57	118	48.31%	206	156	124	46	90	45
	_Since Last GM Reset	7	2	4	0	0	1	0	0	26	26	0	3	2	1	0	0	0	0	0	12	6	6	4	0	3	0	0	1	0	0	14	20	-6	5	0.357	26	51	77	0	1	6	10	10	0	152	34	49	69	0	187	65	90	74	16	2	12.50%	30	8	73.33%	1	59	110	53.64%	63	120	52.50%	57	118	48.31%	206	156	124	46	90	45
	_Vs Conference	7	2	4	0	0	1	0	0	26	26	0	3	2	1	0	0	0	0	0	12	6	6	4	0	3	0	0	1	0	0	14	20	-6	5	0.357	26	51	77	0	1	6	10	10	0	152	34	49	69	0	187	65	90	74	16	2	12.50%	30	8	73.33%	1	59	110	53.64%	63	120	52.50%	57	118	48.31%	206	156	124	46	90	45
	_Vs Division	7	2	4	0	0	1	0	0	26	26	0	3	2	1	0	0	0	0	0	12	6	6	4	0	3	0	0	1	0	0	14	20	-6	5	0.357	26	51	77	0	1	6	10	10	0	152	34	49	69	0	187	65	90	74	16	2	12.50%	30	8	73.33%	1	59	110	53.64%	63	120	52.50%	57	118	48.31%	206	156	124	46	90	45

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
7	5	L2	26	51	77	152	187	65	90	74	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	4	0	1	0	0	26	26

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	12	6

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	0	3	0	1	0	0	14	20

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	4	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
16	2	12.50%	30	8	73.33%	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
34	49	69	0	6	10	10	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
59	110	53.64%	63	120	52.50%	57	118	48.31%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
206	156	124	46	90	45

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	4	Hunters	4	Igloos	5	L		BoxScore
3 - 2024-04-08	23	Igloos	0	Hunters	6	W		BoxScore
4 - 2024-04-09	35	Hunters	4	CoolFm	6	L		BoxScore
6 - 2024-04-11	50	Goons	2	Hunters	3	W		BoxScore
7 - 2024-04-12	67	Hunters	5	Bandits	6	L	X	BoxScore
8 - 2024-04-13	81	Goons	4	Hunters	3	L		BoxScore
10 - 2024-04-15	97	Hunters	1	Igloos	3	L		BoxScore
11 - 2024-04-16	113	Igloos	-	Hunters	-
13 - 2024-04-18	131	Hunters	-	Husky	-
14 - 2024-04-19	142	Hunters	-	Goons	-
15 - 2024-04-20	152	Husky	-	Hunters	-
17 - 2024-04-22	175	CoolFm	-	Hunters	-
19 - 2024-04-24	195	Bandits	-	Hunters	-
20 - 2024-04-25	212	Hunters	-	Bandits	-
21 - 2024-04-26	220	Hunters	-	Xpress	-
22 - 2024-04-27	236	Vipers	-	Hunters	-
24 - 2024-04-29	255	Hunters	-	Vandals	-
25 - 2024-04-30	263	Hunters	-	Bayou	-
26 - 2024-05-01	277	Grizzlies	-	Hunters	-
28 - 2024-05-03	297	Goons	-	Hunters	-
30 - 2024-05-05	316	Hunters	-	Snowbirds	-
31 - 2024-05-06	325	Hunters	-	TigersCats	-
32 - 2024-05-07	339	Farmers	-	Hunters	-
34 - 2024-05-09	361	Smirnoff Ice	-	Hunters	-
35 - 2024-05-10	372	Hunters	-	Supreme	-
37 - 2024-05-12	388	Hunters	-	Marlies	-
38 - 2024-05-13	399	Spartans	-	Hunters	-
40 - 2024-05-15	420	Hunters	-	Smirnoff Ice	-
41 - 2024-05-16	430	Outlaws	-	Hunters	-
43 - 2024-05-18	449	Hunters	-	Husky	-
44 - 2024-05-19	462	Barracudas	-	Hunters	-
45 - 2024-05-20	479	Bayou	-	Hunters	-
47 - 2024-05-22	499	Hunters	-	Xpress	-
48 - 2024-05-23	515	Twins	-	Hunters	-
50 - 2024-05-25	531	Hunters	-	Wolves	-
51 - 2024-05-26	542	Hunters	-	Chiwawa	-
52 - 2024-05-27	555	Marmots	-	Hunters	-
54 - 2024-05-29	577	Hunters	-	Rockets	-
55 - 2024-05-30	587	Marlies	-	Hunters	-
56 - 2024-05-31	600	Hunters	-	Scorpions	-
58 - 2024-06-02	617	Snowbirds	-	Hunters	-
60 - 2024-06-04	634	Hunters	-	Warriors	-
61 - 2024-06-05	649	Thugs	-	Hunters	-
63 - 2024-06-07	670	Saguenéens	-	Hunters	-
65 - 2024-06-09	691	Raptors	-	Hunters	-
66 - 2024-06-10	705	Hunters	-	Spartans	-
67 - 2024-06-11	716	Hunters	-	Saguenéens	-
68 - 2024-06-12	728	Supreme	-	Hunters	-
69 - 2024-06-13	740	Hunters	-	Vipers	-
71 - 2024-06-15	756	Hunters	-	Igloos	-
72 - 2024-06-16	772	Scorpions	-	Hunters	-
73 - 2024-06-17	790	Hunters	-	Outlaws	-
74 - 2024-06-18	802	Predateurs	-	Hunters	-
76 - 2024-06-20	821	Bandits	-	Hunters	-
78 - 2024-06-22	845	CoolFm	-	Hunters	-
79 - 2024-06-23	855	Hunters	-	Goons	-
80 - 2024-06-24	872	Hunters	-	Barracudas	-
81 - 2024-06-25	879	Hunters	-	Thugs	-
83 - 2024-06-27	896	Wolves	-	Hunters	-
85 - 2024-06-29	918	Igloos	-	Hunters	-
87 - 2024-07-01	940	Hunters	-	Farmers	-
88 - 2024-07-02	952	Hunters	-	Marmots	-
89 - 2024-07-03	958	Xpress	-	Hunters	-
Trade Deadline --- Trades can’t be done after this day is simulated!
91 - 2024-07-05	980	Vandals	-	Hunters	-
92 - 2024-07-06	995	Hunters	-	Predateurs	-
93 - 2024-07-07	1011	Rockets	-	Hunters	-
95 - 2024-07-09	1029	Husky	-	Hunters	-
96 - 2024-07-10	1042	Hunters	-	Twins	-
99 - 2024-07-13	1065	TigersCats	-	Hunters	-
102 - 2024-07-16	1089	Hunters	-	Raptors	-
103 - 2024-07-17	1095	Chiwawa	-	Hunters	-
104 - 2024-07-18	1101	Hunters	-	CoolFm	-
106 - 2024-07-20	1126	Hunters	-	CoolFm	-
107 - 2024-07-21	1140	Xpress	-	Hunters	-
108 - 2024-07-22	1146	Hunters	-	Grizzlies	-
111 - 2024-07-25	1166	Warriors	-	Hunters	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	6,000	3,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
35	3000 - 100.00%	102,000$	306,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
203,852$	1,552,500$	1,552,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	141,902$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
3,570,000$	103	19,934$	2,053,202$

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	41	0	2	4	3	1	224	252	-28	41	19	19	0	1	1	0	1	121	122	-1	41	12	22	0	1	3	3	0	103	130	-27	77	224	400	624	1	3	55	83	81	7	1944	505	680	746	30	2008	690	876	1132	217	30	13.82%	254	59	76.77%	9	641	1319	48.60%	653	1351	48.33%	629	1259	49.96%	2188	1579	1627	584	1132	562
46	82	37	26	0	5	9	2	3	282	242	40	41	17	12	0	4	6	1	1	133	114	19	41	20	14	0	1	3	1	2	149	128	21	100	282	527	809	4	2	48	106	121	8	2063	511	708	818	40	1954	648	935	1175	242	51	21.07%	257	61	76.26%	2	735	1381	53.22%	717	1376	52.11%	666	1231	54.10%	2298	1681	1538	594	1140	565
47	7	2	4	0	0	1	0	0	26	26	0	3	2	1	0	0	0	0	0	12	6	6	4	0	3	0	0	1	0	0	14	20	-6	5	26	51	77	0	1	6	10	10	0	152	34	49	69	0	187	65	90	74	16	2	12.50%	30	8	73.33%	1	59	110	53.64%	63	120	52.50%	57	118	48.31%	206	156	124	46	90	45
Total Regular Season	171	70	71	0	7	14	5	4	532	520	12	85	38	32	0	5	7	1	2	266	242	24	86	32	39	0	2	7	4	2	266	278	-12	182	532	978	1510	5	6	109	199	212	15	4159	1050	1437	1633	70	4149	1403	1901	2381	475	83	17.47%	541	128	76.34%	12	1435	2810	51.07%	1433	2847	50.33%	1352	2608	51.84%	4693	3417	3290	1225	2364	1174

Back to the Top