Flames
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Team Leaders

Team Stats

Team Info
	General Manager	Steve Landry
	Coach	Craig MacTavish
	Division	Fritz-Kraatz
	Conference	Robert-Lebel
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	32
	Farm Team	22
	Contract Limit	54 / 250
	Prospects	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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Peter Cehlarik (R)		X			100.00	69	44	80	73	68	74	73	74	75	76	72	61	72	52	48	48	40	70	0	23	2	850,000$
2	Barclay Goodrow (R)			X		100.00	79	29	75	69	73	70	71	71	67	69	71	72	66	54	52	35	40	69	0	25	2	900,000$
3	Nico Sturm (R)	X				100.00	66	29	87	72	78	78	77	65	72	75	59	69	70	51	50	45	40	69	0	23	3	750,000$
4	Ryan Spooner	X				100.00	64	31	76	74	73	72	77	68	76	79	66	63	65	55	51	33	40	68	0	26	1	900,000$
5	Jesper Bratt (R)		X			100.00	65	46	74	73	70	75	71	71	74	72	70	61	73	47	44	64	40	68	0	20	3	750,000$
6	Chris Brown	X				100.00	64	42	81	74	70	71	73	65	61	54	79	55	70	53	53	27	40	66	0	27	1	800,000$
7	Eric Karlsson (R)		X			100.00	78	33	74	70	78	70	70	65	65	67	73	59	56	50	50	38	40	66	0	24	2	750,000$
8	Ryan Donato (R)	X				100.00	74	38	75	64	80	65	71	66	74	67	75	49	67	44	44	47	40	66	0	22	3	800,000$
9	Taylor Raddysh (R)			X		100.00	59	46	80	64	70	70	60	70	69	62	67	58	67	43	43	59	40	64	0	20	1	500,000$
10	Tage Thompson (R)			X		100.00	59	32	84	69	65	78	65	56	65	72	54	62	59	46	45	59	40	62	0	21	3	700,000$
11	Vitali Kravtsov (R)		X			100.00	69	43	72	62	62	58	70	63	61	60	65	53	64	42	41	67	40	61	0	19	2	500,000$
12	Mathieu Brodeur				X	100.00	74	28	86	70	74	75	73	73	50	72	58	79	60	74	57	23	40	73	0	28	1	925,000$
13	Frank Corrado (R)				X	100.00	71	40	75	72	77	74	76	71	59	69	61	71	60	62	53	36	40	70	0	25	2	850,000$
14	Dominik Masin (R)				X	100.00	68	31	87	70	71	69	72	57	35	63	46	79	53	53	46	48	40	67	0	22	2	650,000$
15	Trevor Carrick (R)				X	100.00	62	38	75	81	66	66	75	76	42	75	55	67	44	49	50	32	40	67	0	24	3	700,000$
16	Erik Brannstrom (R)				X	100.00	55	29	72	74	55	53	74	85	41	83	62	72	40	46	42	74	40	66	0	19	1	500,000$
17	Brandon Hickey (R)				X	100.00	66	27	84	63	64	64	64	55	36	69	47	78	53	48	45	38	40	65	0	22	1	600,000$
18	Christian Jaros (R)				X	100.00	67	29	77	65	62	61	62	65	36	71	50	72	54	45	46	43	40	65	0	22	2	650,000$
Scratches
1	Vladislav Kamenev (R)	X				100.00	71	31	73	51	72	66	68	69	60	59	75	57	73	44	44	48	40	63	0	22	3	700,000$
2	Ivan Chekhovich (R)		X			100.00	63	25	75	48	76	55	59	61	58	60	77	37	65	41	41	63	40	59	0	19	1	500,000$
3	Radim Zohorna (R)		X			100.00	57	39	74	61	70	73	62	60	55	56	69	44	57	47	45	48	40	59	0	22	3	600,000$
4	Skyler Brind'Amour (R)	X				100.00	44	33	76	51	54	69	56	47	54	55	54	55	54	41	41	62	40	53	0	19	1	500,000$
5	Demetrios Koumontzis (R)		X			100.00	41	28	60	55	49	54	50	55	67	62	58	30	47	40	40	58	40	52	0	18	2	500,000$
6	Filip Hallander (R)	X				100.00	45	29	67	58	47	49	43	56	44	59	48	39	44	40	40	68	40	50	0	18	2	500,000$
7	John Gilmour (R)				X	100.00	70	34	77	68	63	76	69	75	51	72	57	66	58	48	50	30	40	67	0	25	1	800,000$
8	Petteri Lindbohm (R)				X	100.00	60	39	75	64	67	67	70	71	46	68	71	69	57	49	54	34	40	66	0	25	3	750,000$
9	Darren Raddysh (R)				X	100.00	63	25	92	65	60	69	63	48	45	67	37	66	39	50	46	48	40	62	0	22	1	500,000$
10	Tim Berni (R)				X	100.00	58	27	57	40	51	49	55	57	18	57	50	34	31	40	40	60	40	48	0	18	2	500,000$

	TEAM AVERAGE					100.00	64	34	76	65	67	67	67	65	56	67	62	60	58	48	46	48	40	64

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	Age	Contract	Salary
1	Michael Hutchinson	100.00	70	79	75	75	74	74	74	76	78	71	73	71	66	24	40	74	0	28	2	995,000$
2	Vitek Vanecek	100.00	63	70	67	60	61	73	77	54	59	76	62	46	46	47	40	65	0	22	1	600,000$
Scratches
1	Collin Delia	100.00	72	57	65	72	69	58	51	58	63	55	67	42	42	54	40	60	0	24	3	700,000$
2	Joel Hofer (R)	100.00	66	52	63	74	69	50	43	58	61	53	72	40	40	69	40	57	0	18	2	500,000$

	TEAM AVERAGE	100.00	68	65	68	70	68	64	61	62	65	64	69	50	49	49	40	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Craig MacTavish	78	75	69	75	76	67	52	CAN	56	2	800,000$

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	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Barclay Goodrow	Heat (Cal)	RW	25	1993-01-01	Yes	215 Lbs	6 ft2	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$
Brandon Hickey	Heat (Cal)	D	22	1996-01-01	Yes	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	600,000$	600,000$	0$	0$	No
Chris Brown	Heat (Cal)	C	27	1991-01-01	No	215 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No
Christian Jaros	Heat (Cal)	D	22	1996-01-01	Yes	222 Lbs	6 ft3	No	No	No	2	Pro & Farm	650,000$	650,000$	0$	0$	No	700,000$
Collin Delia	Heat (Cal)	G	24	1994-01-01	No	207 Lbs	6 ft2	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	700,000$	700,000$
Darren Raddysh	Heat (Cal)	D	22	1996-01-01	Yes	200 Lbs	6 ft1	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Demetrios Koumontzis	Heat (Cal)	LW	18	2000-01-01	Yes	190 Lbs	5 ft11	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$		Link
Dominik Masin	Heat (Cal)	D	22	1996-01-01	Yes	196 Lbs	6 ft2	No	No	No	2	Pro & Farm	650,000$	650,000$	0$	0$	No	700,000$
Eric Karlsson	Heat (Cal)	LW	24	1994-01-01	Yes	161 Lbs	5 ft11	No	No	No	2	Pro & Farm	750,000$	750,000$	0$	0$	No	850,000$
Erik Brannstrom	Heat (Cal)	D	19	1999-01-01	Yes	185 Lbs	5 ft10	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Filip Hallander	Heat (Cal)	C	18	2000-01-01	Yes	190 Lbs	6 ft1	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$		Link
Frank Corrado	Heat (Cal)	D	25	1993-01-01	Yes	195 Lbs	6 ft0	No	No	No	2	Pro & Farm	850,000$	850,000$	0$	0$	No	900,000$
Ivan Chekhovich	Heat (Cal)	LW	19	1999-01-01	Yes	187 Lbs	5 ft10	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Jesper Bratt	Heat (Cal)	LW	20	1998-01-01	Yes	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	900,000$	950,000$
Joel Hofer	Heat (Cal)	G	18	2000-01-01	Yes	179 Lbs	6 ft5	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$		Link
John Gilmour	Heat (Cal)	D	25	1993-01-01	Yes	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No
Mathieu Brodeur	Heat (Cal)	D	28	1990-01-01	No	215 Lbs	6 ft6	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No
Michael Hutchinson	Heat (Cal)	G	28	1990-01-01	No	202 Lbs	6 ft3	No	No	No	2	Pro & Farm	995,000$	995,000$	0$	0$	No	995,000$
Nico Sturm	Heat (Cal)	C	23	1995-01-01	Yes	207 Lbs	6 ft3	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	900,000$	950,000$
Peter Cehlarik	Heat (Cal)	LW	23	1995-01-01	Yes	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	850,000$	850,000$	0$	0$	No	900,000$
Petteri Lindbohm	Heat (Cal)	D	25	1993-01-01	Yes	209 Lbs	6 ft3	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	800,000$	850,000$
Radim Zohorna	Heat (Cal)	LW	22	1996-01-01	Yes	229 Lbs	6 ft6	No	No	No	3	Pro & Farm	600,000$	600,000$	0$	0$	No	650,000$	700,000$
Ryan Donato	Heat (Cal)	C	22	1996-01-01	Yes	193 Lbs	6 ft0	No	No	No	3	Pro & Farm	800,000$	800,000$	0$	0$	No	850,000$	900,000$
Ryan Spooner	Heat (Cal)	C	26	1992-01-01	No	181 Lbs	5 ft11	No	No	No	1	Pro & Farm	900,000$	900,000$	0$	0$	No
Skyler Brind'Amour	Heat (Cal)	C	19	1999-01-01	Yes	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Tage Thompson	Heat (Cal)	RW	21	1997-01-01	Yes	218 Lbs	6 ft7	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	800,000$	900,000$
Taylor Raddysh	Heat (Cal)	RW	20	1998-01-01	Yes	198 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	0$	No
Tim Berni	Heat (Cal)	D	18	2000-01-01	Yes	181 Lbs	6 ft0	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$		Link
Trevor Carrick	Heat (Cal)	D	24	1994-01-01	Yes	171 Lbs	6 ft1	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	750,000$	825,000$
Vitali Kravtsov	Heat (Cal)	LW	19	1999-01-01	Yes	186 Lbs	6 ft3	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	0$	No	500,000$		Link
Vitek Vanecek	Heat (Cal)	G	22	1996-01-01	No	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	600,000$	600,000$	0$	0$	No
Vladislav Kamenev	Heat (Cal)	C	22	1996-01-01	Yes	194 Lbs	6 ft2	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	0$	No	800,000$	825,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
32	22.25	196 Lbs	6 ft2	1.94	678,750$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Victor Rask	Evgeny Svechnikov	40	1	2	2
2	Peter Cehlarik			30	1	2	2
3				20	1	2	2
4	Brandon Hickey			10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dominik Masin	Rasmus Andersson	40	1	2	2
2		Frank Corrado	30	1	2	2
3		Christian Jaros	20	1	2	2
4		Rasmus Andersson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Victor Rask	Evgeny Svechnikov	60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Rasmus Andersson	60	1	2	2
2	Dominik Masin	Frank Corrado	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2	Brandon Hickey		40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dominik Masin	Rasmus Andersson	60	1	2	2
2		Frank Corrado	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2	Dominik Masin	Rasmus Andersson	60	1	2	2
2	Victor Rask	40	1	2	2		Frank Corrado	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Victor Rask		60	1	2	2
2		Evgeny Svechnikov	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Rasmus Andersson	60	1	2	2
2	Dominik Masin	Frank Corrado	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Victor Rask	Evgeny Svechnikov	Dominik Masin	Rasmus Andersson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Victor Rask	Evgeny Svechnikov		Rasmus Andersson

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	Peter Cehlarik,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Dominik Masin, Frank Corrado,	Frank Corrado	Dominik Masin,

Penalty Shots
Victor Rask, , Evgeny Svechnikov, ,

Goalie
#1 : , #2 : Vitek Vanecek

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	70	40
Attendance	0.00%	0.00%
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
40	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,549,500$	2,342,000$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Heat Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Heat Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Heat Career Team Stats

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

Heat Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Heat Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Heat
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Steve Landry \| Morale : 40 \| Team Overall : 65