Association Québécoise de Hockey Simulé

Association Québécoise de Hockey Simulé - TigersCats

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

TigersCats

GP: 28 | W: 12 | L: 14 | OTL: 2 | P: 26
GF: 100 | GA: 117 | PP%: 23.08% | PK%: 68.67%
GM : Jean-Denis Larouche | Morale : 90 | Team Overall : 61
Next Games #440 vs Bandits

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

Hamilton Tigers
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	Ross Colton	X				99.00	99	51	78	84	63	62	98	61	86	56	66	59	88	86	75	0	90	67	0
2	Anthony Duclair		X			100.00	68	45	92	84	62	74	40	63	30	69	58	60	69	87	79	0	90	64	0
3	Michael Pezzetta		X			100.00	99	72	62	77	73	50	76	55	30	50	59	66	82	85	72	0	90	62	0
4	Josh Leivo			X		100.00	70	48	82	82	66	59	62	58	30	59	56	69	67	89	78	0	90	62	0
5	Colin White			X		98.00	66	45	90	80	65	50	82	54	73	48	60	57	66	86	73	0	90	62	0
6	Rem Pitlick	X				98.00	57	45	82	83	57	65	56	58	30	56	61	58	79	86	76	0	90	62	0
7	Laurent Dauphin	X				99.00	64	45	82	78	59	52	40	47	84	40	54	67	50	88	75	0	90	59	0
8	Kevin Rooney	X				99.00	75	48	85	77	65	50	40	47	72	44	50	62	50	89	76	0	90	58	0
9	Curtis McKenzie		X			100.00	50	45	95	75	73	50	40	45	30	40	50	55	50	92	79	0	90	54	0
10	Adam Gaudette	X				99.00	50	45	95	79	56	50	40	45	30	40	50	55	50	87	74	0	90	53	0
11	Matt Dumba				X	99.00	76	54	67	81	51	89	95	53	30	50	56	71	66	88	83	0	90	68	0
12	Nick Perbix (R)				X	97.00	70	45	86	83	60	64	83	58	30	58	59	73	68	84	73	0	90	67	0
13	Sheldon Dries				X	100.00	76	54	82	82	50	58	76	56	80	48	64	61	67	88	77	0	90	63	0
14	Jordan Gross				X	100.00	57	45	92	80	52	78	40	54	30	40	68	59	66	87	80	0	90	61	0
15	Mikhail Maltsev (R)				X	100.00	50	45	95	76	71	50	40	45	30	40	50	55	50	85	72	0	90	57	0
Scratches

	TEAM AVERAGE					99.20	68	49	84	80	62	60	61	53	46	49	57	62	65	87	76	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	Adam Werner (R)	100.00	70	40	40	90	65	65	65	65	65	65	65	82	69	0	90	58	0
Scratches

	TEAM AVERAGE	100.00	70	40	40	90	65	65	65	65	65	65	65	82	69	0	90	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeremy Colliton	65	65	65	65	73	84	94	CAN	39	2	6,150,000$

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	Josh Leivo	TigersCats (HAM)	RW	28	15	15	30	-6	7	5	34	33	89	29	47	16.85%	15	471	16.82	5	2	7	14	43	1	0	1	2	8	2	0	54.55%	22	20	12	1.27	1	2	0	1	0	3	2	1
2	Anthony Duclair	TigersCats (HAM)	LW	21	13	15	28	-6	14	10	24	28	117	47	86	11.11%	15	479	22.85	4	4	8	19	45	0	0	0	4	46	1	1	62.50%	40	31	23	1.17	1	1	1	1	0	2	0	4
3	Rem Pitlick	TigersCats (HAM)	C	24	12	11	23	-1	2	0	27	35	61	34	40	19.67%	14	444	18.52	0	4	4	8	35	0	1	1	4	34	1	1	43.52%	324	19	13	1.04	0	1	0	0	0	3	2	1
4	Colin White	TigersCats (HAM)	RW	26	13	9	22	0	6	0	31	27	60	28	54	21.67%	6	523	20.15	2	4	6	11	58	1	1	2	1	35	0	1	56.25%	32	13	12	0.84	1	1	0	0	0	0	3	3
5	Ross Colton	TigersCats (HAM)	C	19	9	12	21	5	10	0	36	40	76	35	63	11.84%	10	429	22.58	1	4	5	7	37	0	0	0	3	39	1	0	66.89%	447	25	12	0.98	0	1	0	0	0	3	2	1
6	Michael Pezzetta	TigersCats (HAM)	LW	28	6	15	21	-3	20	0	56	41	61	17	28	9.84%	14	482	17.23	1	3	4	11	45	0	0	0	0	6	0	1	47.22%	36	11	9	0.87	0	1	0	0	0	0	1	3
7	Laurent Dauphin	TigersCats (HAM)	C	28	12	6	18	-1	20	0	38	47	61	26	39	19.67%	8	440	15.75	1	0	1	2	12	0	0	0	0	7	4	0	65.44%	327	19	14	0.82	0	0	0	0	0	2	0	1
8	Kevin Rooney	TigersCats (HAM)	C	28	8	10	18	1	4	0	49	30	80	17	39	10.00%	8	437	15.61	0	0	0	1	3	0	0	0	0	0	0	1	59.63%	109	10	19	0.82	0	0	0	0	0	1	2	0
9	Sheldon Dries	TigersCats (HAM)	D	28	2	12	14	2	6	0	24	25	36	18	13	5.56%	24	562	20.10	0	1	1	7	52	0	0	0	3	58	0	0	100.00%	1	12	24	0.50	0	0	0	0	0	1	0	0
10	Matt Dumba	TigersCats (HAM)	D	28	4	8	12	-10	72	10	46	32	58	18	24	6.90%	41	698	24.95	2	1	3	9	69	0	0	0	0	38	1	0	0.00%	0	13	43	0.34	0	0	0	0	1	0	0	0
11	Nick Perbix	TigersCats (HAM)	D	25	0	11	11	-6	6	0	37	36	55	30	17	0.00%	31	646	25.86	0	2	2	5	55	0	0	0	2	66	0	0	0.00%	0	19	40	0.34	0	0	0	0	0	0	0	0
12	Curtis McKenzie	TigersCats (HAM)	LW	28	2	5	7	-2	4	0	20	26	28	14	34	7.14%	10	441	15.78	0	1	1	0	17	0	0	0	1	10	1	0	50.00%	20	5	17	0.32	0	0	0	0	0	0	0	1
13	Jordan Gross	TigersCats (HAM)	D	23	0	5	5	-3	2	0	10	25	32	11	15	0.00%	26	460	20.03	0	1	1	1	39	0	0	0	1	44	0	0	50.00%	2	9	20	0.22	0	0	0	0	0	0	1	0
14	Mikhail Maltsev	TigersCats (HAM)	D	28	0	4	4	3	2	0	4	13	8	2	5	0.00%	14	440	15.74	0	0	0	0	6	0	0	0	0	13	0	0	0.00%	1	1	16	0.18	0	0	0	0	0	0	1	0
15	Adam Gaudette	TigersCats (HAM)	C	28	1	2	3	2	0	0	9	25	23	13	12	4.35%	15	440	15.72	1	0	1	1	5	0	0	0	1	17	0	0	36.36%	11	3	17	0.14	0	0	0	0	0	0	0	0
Team Total or Average				390	97	140	237	-25	175	25	445	463	845	339	516	11.48%	251	7400	18.98	17	27	44	96	528	2	2	4	22	427	11	5	58.82%	1372	210	291	0.64	3	7	1	2	1	15	14	15

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	Adam Werner	TigersCats (HAM)	20	7	11	1	0.862	4.18	1105	2	0	77	560	269	0	1	0.000	0	20	0	1	0	0
Team Total or Average			20	7	11	1	0.862	4.18	1105	2	0	77	560	269	0	1	0.000	0	20	0	1	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
Adam Gaudette	TigersCats (HAM)	C	26	1996-10-03	No	175 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	1,000,000$	0$	0$	No
Adam Werner	TigersCats (HAM)	G	26	1997-05-02	Yes	205 Lbs	6 ft5	No	No	No	1	RFA	Pro & Farm	850,000$	0$	0$	No
Anthony Duclair	TigersCats (HAM)	LW	28	1995-08-26	No	197 Lbs	5 ft11	No	No	No	4	UFA	Pro & Farm	2,250,000$	0$	0$	No
Colin White	TigersCats (HAM)	RW	26	1997-01-30	No	194 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	4,500,000$	0$	0$	No
Curtis McKenzie	TigersCats (HAM)	LW	31	1991-10-12	No	205 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	800,000$	0$	0$	No
Jordan Gross	TigersCats (HAM)	D	28	1995-05-09	No	190 Lbs	5 ft10	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No
Josh Leivo	TigersCats (HAM)	RW	30	1993-05-26	No	192 Lbs	6 ft2	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No
Kevin Rooney	TigersCats (HAM)	C	30	1993-05-21	No	190 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	1,200,000$	0$	0$	No
Laurent Dauphin	TigersCats (HAM)	C	28	1995-03-27	No	186 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	750,000$	0$	0$	No
Matt Dumba	TigersCats (HAM)	D	29	1994-07-25	No	181 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	4,000,000$	0$	0$	No
Michael Pezzetta	TigersCats (HAM)	LW	25	1998-03-13	No	210 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	1,000,000$	0$	0$	No
Mikhail Maltsev	TigersCats (HAM)	D	25	1998-03-12	Yes	198 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	1,000,000$	0$	0$	No
Nick Perbix	TigersCats (HAM)	D	25	1998-06-15	Yes	191 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	950,000$	0$	0$	No
Rem Pitlick	TigersCats (HAM)	C	26	1997-04-02	No	186 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	900,000$	0$	0$	No
Ross Colton	TigersCats (HAM)	C	27	1996-09-11	No	194 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	2,400,000$	0$	0$	No
Sheldon Dries	TigersCats (HAM)	D	29	1994-04-23	No	180 Lbs	5 ft9	No	No	No	4	UFA	Pro & Farm	1,000,000$	0$	0$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
16	27.44	192 Lbs	6 ft1	2.88	1,537,500$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Duclair	Ross Colton	Colin White	35	1	2	2
2	Michael Pezzetta	Rem Pitlick	Josh Leivo	30	1	2	2
3	Curtis McKenzie	Laurent Dauphin	Kevin Rooney	25	1	2	2
4	Ross Colton	Kevin Rooney	Anthony Duclair	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Dumba	Nick Perbix	35	1	2	2
2	Sheldon Dries	Jordan Gross	30	1	2	2
3	Mikhail Maltsev	Adam Gaudette	25	1	2	2
4	Matt Dumba	Nick Perbix	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anthony Duclair	Ross Colton	Colin White	55	1	2	2
2	Michael Pezzetta	Rem Pitlick	Josh Leivo	45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Dumba	Nick Perbix	55	1	2	2
2	Sheldon Dries	Jordan Gross	45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ross Colton	Anthony Duclair	55	1	2	2
2	Rem Pitlick	Colin White	45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Dumba	Nick Perbix	55	1	2	2
2	Sheldon Dries	Jordan Gross	45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Ross Colton	55	1	2	2	Matt Dumba	Nick Perbix	55	1	2	2
2	Anthony Duclair	45	1	2	2	Sheldon Dries	Jordan Gross	45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ross Colton	Anthony Duclair	55	1	2	2
2	Rem Pitlick	Colin White	45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Dumba	Nick Perbix	55	1	2	2
2	Sheldon Dries	Jordan Gross	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Duclair	Ross Colton	Colin White	Matt Dumba	Nick Perbix

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Anthony Duclair	Ross Colton	Colin White	Matt Dumba	Nick Perbix

Extra Forwards
Normal	PowerPlay	Penalty Kill
Laurent Dauphin, Curtis McKenzie, Adam Gaudette	Laurent Dauphin, Curtis McKenzie	Adam Gaudette

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Mikhail Maltsev, Sheldon Dries, Jordan Gross	Mikhail Maltsev	Sheldon Dries, Jordan Gross

Penalty Shots
Ross Colton, Anthony Duclair, Rem Pitlick, Colin White, Josh Leivo

Goalie
#1 : Adam Werner, #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	Chiwawa	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	3	7	-4	0	0.000	3	4	7	0	0	19	40	38	5	41	213	331	333	17	42	13	6	22	2	0	0.00%	3	2	33.33%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
2	CoolFm	1	0	0	0	1	0	0	0	5	4	1	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	8	13	0	0	19	40	38	5	40	213	331	333	17	25	11	2	34	3	1	33.33%	1	1	0.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
3	Farmers	2	1	0	0	0	0	0	1	10	9	1	0	0	0	0	0	0	0	0	0	0	0	2	1	0	0	0	0	0	1	10	9	1	3	0.750	10	18	28	0	0	19	40	38	5	77	213	331	333	17	65	23	13	41	9	2	22.22%	4	1	75.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
4	Goons	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	1	2	3	0	0	19	40	38	5	25	213	331	333	17	32	5	8	22	2	0	0.00%	4	1	75.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
5	Grizzlies	3	1	1	0	1	0	0	0	10	8	2	1	0	0	0	1	0	0	0	2	1	1	2	1	1	0	0	0	0	0	8	7	1	4	0.667	10	14	24	0	0	19	40	38	5	99	213	331	333	17	90	37	35	37	9	1	11.11%	10	2	80.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
6	Hunters	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	2	4	0	0	19	40	38	5	27	213	331	333	17	22	7	7	15	5	1	20.00%	1	0	100.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
7	Husky	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	1	2	0	0	19	40	38	5	31	213	331	333	17	32	7	8	17	4	0	0.00%	4	2	50.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
8	Igloos	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	11	17	0	0	19	40	38	5	33	213	331	333	17	18	5	4	14	5	2	40.00%	2	0	100.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
9	Marlies	3	2	1	0	0	0	0	0	13	12	1	1	1	0	0	0	0	0	0	4	3	1	2	1	1	0	0	0	0	0	9	9	0	4	0.667	13	21	34	0	0	19	40	38	5	87	213	331	333	17	103	46	20	47	2	1	50.00%	10	3	70.00%	1	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
10	Marmots	3	1	2	0	0	0	0	0	12	13	-1	2	0	2	0	0	0	0	0	5	9	-4	1	1	0	0	0	0	0	0	7	4	3	2	0.333	12	21	33	1	0	19	40	38	5	114	213	331	333	17	88	21	25	67	11	3	27.27%	10	3	70.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
11	Rockets	3	2	1	0	0	0	0	0	9	9	0	1	1	0	0	0	0	0	0	4	2	2	2	1	1	0	0	0	0	0	5	7	-2	4	0.667	9	12	21	0	0	19	40	38	5	70	213	331	333	17	73	21	17	58	9	3	33.33%	8	3	62.50%	1	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
12	Scorpions	1	0	1	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	3	7	-4	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	5	8	0	0	19	40	38	5	39	213	331	333	17	37	14	6	18	2	1	50.00%	3	2	33.33%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
13	Smirnoff Ice	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	5	10	0	0	19	40	38	5	30	213	331	333	17	34	5	4	10	4	1	25.00%	2	0	100.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
	Total	28	9	14	0	2	1	1	1	100	117	-17	14	4	6	0	2	1	1	0	51	57	-6	14	5	8	0	0	0	0	1	49	60	-11	26	0.464	100	156	256	2	0	19	40	38	5	886	213	331	333	17	843	269	197	507	78	18	23.08%	83	26	68.67%	2	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
15	Vandals	1	0	0	0	0	0	1	0	4	3	1	1	0	0	0	0	0	1	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	5	9	0	0	19	40	38	5	16	213	331	333	17	17	3	4	28	1	0	0.00%	2	1	50.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
16	Vipers	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	5	8	0	0	19	40	38	5	31	213	331	333	17	41	11	8	10	2	1	50.00%	4	0	100.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
17	Warriors	2	0	2	0	0	0	0	0	8	12	-4	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	8	14	22	0	0	19	40	38	5	74	213	331	333	17	81	23	22	44	4	1	25.00%	11	3	72.73%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
18	Wolves	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	5	8	13	1	0	19	40	38	5	52	213	331	333	17	43	17	8	23	4	0	0.00%	4	2	50.00%	0	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
	_Since Last GM Reset	28	9	14	0	2	1	1	1	100	117	-17	14	4	6	0	2	1	1	0	51	57	-6	14	5	8	0	0	0	0	1	49	60	-11	26	0.464	100	156	256	2	0	19	40	38	5	886	213	331	333	17	843	269	197	507	78	18	23.08%	83	26	68.67%	2	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
	_Vs Conference	22	9	10	0	2	0	0	1	82	86	-4	10	4	4	0	2	0	0	0	37	36	1	12	5	6	0	0	0	0	1	45	50	-5	23	0.523	82	129	211	1	0	19	40	38	5	707	213	331	333	17	663	211	165	406	67	16	23.88%	67	19	71.64%	2	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
	_Vs Division	17	8	7	0	1	0	0	1	67	66	1	7	3	3	0	1	0	0	0	24	24	0	10	5	4	0	0	0	0	1	43	42	1	19	0.559	67	105	172	1	0	19	40	38	5	551	213	331	333	17	534	176	136	304	48	12	25.00%	55	15	72.73%	2	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
28	26	L1	100	156	256	886	843	269	197	507	2	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
28	9	14	2	1	1	1	100	117

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	4	6	2	1	1	0	51	57

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	5	8	0	0	0	1	49	60

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	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
78	18	23.08%	83	26	68.67%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
213	331	333	17	19	40	38	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
336	582	57.73%	321	535	60.00%	272	474	57.38%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
542	291	650	241	500	254

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	5	Rockets	2	TigersCats	4	W			BoxScore
3 - 2024-04-08	28	TigersCats	4	Warriors	6	L			BoxScore
4 - 2024-04-09	38	TigersCats	1	Goons	3	L			BoxScore
6 - 2024-04-11	52	Smirnoff Ice	3	TigersCats	5	W			BoxScore
7 - 2024-04-12	69	Marlies	3	TigersCats	4	W			BoxScore
9 - 2024-04-14	82	TigersCats	2	Rockets	5	L			BoxScore
10 - 2024-04-15	101	TigersCats	3	Marlies	5	L			BoxScore
11 - 2024-04-16	112	TigersCats	4	Grizzlies	5	L			BoxScore
12 - 2024-04-17	119	Warriors	6	TigersCats	4	L			BoxScore
13 - 2024-04-18	138	TigersCats	7	Farmers	8	L	X	X	BoxScore
15 - 2024-04-20	154	Grizzlies	1	TigersCats	2	W	X		BoxScore
17 - 2024-04-22	174	Marmots	3	TigersCats	1	L			BoxScore
18 - 2024-04-23	192	TigersCats	7	Marmots	4	W			BoxScore
20 - 2024-04-25	206	CoolFm	4	TigersCats	5	W	X		BoxScore
21 - 2024-04-26	224	TigersCats	1	Husky	5	L			BoxScore
22 - 2024-04-27	235	Marmots	6	TigersCats	4	L			BoxScore
24 - 2024-04-29	252	TigersCats	1	Wolves	3	L			BoxScore
25 - 2024-04-30	266	Vandals	3	TigersCats	4	W	X	X	BoxScore
26 - 2024-05-01	278	TigersCats	6	Marlies	4	W			BoxScore
28 - 2024-05-03	295	TigersCats	3	Chiwawa	7	L			BoxScore
29 - 2024-05-04	308	Scorpions	7	TigersCats	3	L			BoxScore
31 - 2024-05-06	325	Hunters	5	TigersCats	2	L			BoxScore
32 - 2024-05-07	340	TigersCats	4	Grizzlies	2	W			BoxScore
34 - 2024-05-09	362	Igloos	3	TigersCats	6	W			BoxScore
35 - 2024-05-10	376	Vipers	4	TigersCats	3	L	X		BoxScore
37 - 2024-05-12	393	TigersCats	3	Farmers	1	W			BoxScore
38 - 2024-05-13	409	TigersCats	3	Rockets	2	W			BoxScore
40 - 2024-05-15	421	Wolves	7	TigersCats	4	L			BoxScore
42 - 2024-05-17	440	TigersCats	-	Bandits	-
43 - 2024-05-18	451	TigersCats	-	Goons	-
44 - 2024-05-19	461	Saguenéens	-	TigersCats	-
45 - 2024-05-20	484	Goons	-	TigersCats	-
47 - 2024-05-22	498	TigersCats	-	Igloos	-
48 - 2024-05-23	511	TigersCats	-	Saguenéens	-
49 - 2024-05-24	521	Predateurs	-	TigersCats	-
50 - 2024-05-25	537	TigersCats	-	Scorpions	-
52 - 2024-05-27	557	Spartans	-	TigersCats	-
53 - 2024-05-28	576	TigersCats	-	Vipers	-
55 - 2024-05-30	584	Xpress	-	TigersCats	-
57 - 2024-06-01	606	Grizzlies	-	TigersCats	-
58 - 2024-06-02	620	TigersCats	-	Twins	-
60 - 2024-06-04	636	Outlaws	-	TigersCats	-
62 - 2024-06-06	657	TigersCats	-	Marmots	-
63 - 2024-06-07	672	Twins	-	TigersCats	-
64 - 2024-06-08	687	TigersCats	-	Outlaws	-
66 - 2024-06-10	699	Snowbirds	-	TigersCats	-
67 - 2024-06-11	713	TigersCats	-	Snowbirds	-
69 - 2024-06-13	732	Barracudas	-	TigersCats	-
70 - 2024-06-14	751	Raptors	-	TigersCats	-
71 - 2024-06-15	767	TigersCats	-	Raptors	-
72 - 2024-06-16	777	TigersCats	-	CoolFm	-
74 - 2024-06-18	796	Supreme	-	TigersCats	-
75 - 2024-06-19	813	TigersCats	-	Supreme	-
76 - 2024-06-20	826	Chiwawa	-	TigersCats	-
77 - 2024-06-21	842	TigersCats	-	Vandals	-
78 - 2024-06-22	848	TigersCats	-	Spartans	-
79 - 2024-06-23	865	Husky	-	TigersCats	-
82 - 2024-06-26	885	Bandits	-	TigersCats	-
83 - 2024-06-27	905	TigersCats	-	Barracudas	-
84 - 2024-06-28	909	TigersCats	-	Predateurs	-
86 - 2024-06-30	925	TigersCats	-	Bayou	-
87 - 2024-07-01	934	Thugs	-	TigersCats	-
89 - 2024-07-03	955	Smirnoff Ice	-	TigersCats	-
Trade Deadline --- Trades can’t be done after this day is simulated!
90 - 2024-07-04	978	Marlies	-	TigersCats	-
91 - 2024-07-05	984	TigersCats	-	Thugs	-
93 - 2024-07-07	1006	TigersCats	-	Warriors	-
94 - 2024-07-08	1019	Warriors	-	TigersCats	-
96 - 2024-07-10	1038	TigersCats	-	Xpress	-
97 - 2024-07-11	1049	CoolFm	-	TigersCats	-
99 - 2024-07-13	1065	TigersCats	-	Hunters	-
101 - 2024-07-15	1083	Bayou	-	TigersCats	-
104 - 2024-07-18	1105	Rockets	-	TigersCats	-
105 - 2024-07-19	1114	TigersCats	-	Smirnoff Ice	-
108 - 2024-07-22	1142	Farmers	-	TigersCats	-
110 - 2024-07-24	1154	Farmers	-	TigersCats	-
111 - 2024-07-25	1163	TigersCats	-	Smirnoff Ice	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	20
Attendance	27,683	11,262
Attendance PCT	98.87%	80.44%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
24	2782 - 92.73%	102,355$	1,432,974$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,047,800$	2,460,000$	2,460,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	870,800$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,456,527$	73	76,195$	5,562,235$

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	36	29	0	4	3	3	7	288	260	28	41	20	16	0	2	0	1	2	153	138	15	41	16	13	0	2	3	2	5	135	122	13	96	288	481	769	4	1	52	104	125	12	2313	537	838	916	64	2208	694	822	1137	242	54	22.31%	305	81	73.44%	6	779	1543	50.49%	825	1549	53.26%	666	1303	51.11%	1886	1232	1841	654	1258	627
46	82	41	25	0	4	4	3	5	308	260	48	41	22	11	0	3	1	1	3	156	119	37	41	19	14	0	1	3	2	2	152	141	11	105	308	539	847	0	4	44	113	144	9	2569	571	908	1066	64	2040	694	647	1334	265	82	30.94%	224	61	72.77%	10	956	1623	58.90%	768	1380	55.65%	724	1273	56.87%	2078	1422	1664	622	1231	626
47	28	9	14	0	2	1	1	1	100	117	-17	14	4	6	0	2	1	1	0	51	57	-6	14	5	8	0	0	0	0	1	49	60	-11	26	100	156	256	2	0	19	40	38	5	886	213	331	333	17	843	269	197	507	78	18	23.08%	83	26	68.67%	2	336	582	57.73%	321	535	60.00%	272	474	57.38%	542	291	650	241	500	254
Total Regular Season	192	86	68	0	10	8	7	13	696	637	59	96	46	33	0	7	2	3	5	360	314	46	96	40	35	0	3	6	4	8	336	323	13	227	696	1176	1872	6	5	115	257	307	26	5768	1321	2077	2315	145	5091	1657	1666	2978	585	154	26.32%	612	168	72.55%	18	2071	3748	55.26%	1914	3464	55.25%	1662	3050	54.49%	4506	2946	4156	1518	2990	1509
Playoff
45	17	11	6	0	0	0	0	0	69	59	10	8	5	3	0	0	0	0	0	33	29	4	9	6	3	0	0	0	0	0	36	30	6	22	69	125	194	0	0	22	26	21	0	610	151	244	215	0	436	149	172	258	55	12	21.82%	49	12	75.51%	1	169	370	45.68%	151	306	49.35%	144	292	49.32%	502	371	273	122	244	122
Total Playoff	17	11	6	0	0	0	0	0	69	59	10	8	5	3	0	0	0	0	0	33	29	4	9	6	3	0	0	0	0	0	36	30	6	22	69	125	194	0	0	22	26	21	0	610	151	244	215	0	436	149	172	258	55	12	21.82%	49	12	75.51%	1	169	370	45.68%	151	306	49.35%	144	292	49.32%	502	371	273	122	244	122

Back to the Top