Ligue Canadienne de Hockey Simulé

Flames
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Flames 6-7-0, 12pts	3	FINAL	2	Blackhawks 8-8-0, 16pts

Team Stats
L1	Streak	L3
2-4-0	Home Record	2-6-0
4-3-0	Away Record	6-2-0
4-4-2	Last 10 Games	4-4-2
2.77	Goals Per Game	3.13
3.08	Goals Against Per Game	3.25
18.18%	Power Play Percentage	21.54%
78.72%	Penalty Kill Percentage	82.76%

Blackhawks
8-8-0, 16pts

FINAL

Flames
6-7-0, 12pts

Team Stats
L3	Streak	L1
2-6-0	Home Record	2-4-0
6-2-0	Away Record	4-3-0
4-4-2	Last 10 Games	4-4-2
3.13	Goals Per Game	2.77
3.25	Goals Against Per Game	3.08
21.54%	Power Play Percentage	18.18%
82.76%	Penalty Kill Percentage	78.72%

Team Leaders




	Wins Alexandar Georgiev 6	Save Percentage Alexandar Georgiev 0.91

Team Stats
Goals For 36 2.77 GFG	Shots For 452 34.77 Avg	Power Play Percentage 18.2% 10 GF	Offensive Zone Start 42.5%
Goals Against 40 3.08 GAA	Shots Against 422 32.46 Avg	Penalty Kill Percentage 78.7% 10 GA	Defensive Zone Start 36.6%

Team Info
	General Manager	Benoit Talbot
	Coach	Paul MacLean
	Division	Pacifique
	Conference	Ouest
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,731
	Season Tickets	2,100
Roster Info
	Pro Team	29
	Farm Team	18
	Contract Limit	47 / 60
	Prospects	40

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	Jake Guentzel (R)		X			100.00	69	39	85	78	71	87	88	90	59	87	90	93	78	71	69	62	67	79	0	26	3	2,500,000$
2	Jake DeBrusk (R)			X		100.00	63	35	78	77	73	87	87	89	66	96	86	88	67	58	59	81	64	78	0	24	1	1,288,330$
3	Danton Heinen (R)	X				100.00	63	41	86	77	73	83	95	91	66	89	76	75	53	72	56	55	61	75	0	25	3	1,250,000$
4	Kevin Fiala (R)			X		100.00	57	39	83	78	69	80	88	88	53	88	84	69	74	67	68	83	63	75	0	24	1	1,000,000$
5	Oscar Lindberg (R)	X				100.00	78	35	71	69	76	84	86	88	81	83	81	77	58	79	60	53	50	75	0	29	1	900,000$
6	Roope Hintz (R)		X			100.00	79	42	84	76	87	82	80	80	79	75	77	75	76	67	69	73	60	73	0	24	2	811,667$
7	Joel Armia (R)			X		100.00	87	43	84	70	89	81	79	76	54	74	76	86	71	73	69	70	60	73	0	28	1	800,000$
8	Adrian Kempe (R)		X			100.00	73	44	78	72	81	83	89	78	77	76	72	79	72	67	66	77	59	72	0	24	3	800,000$
9	Devin Shore (R)	X				100.00	59	37	90	71	75	72	98	78	71	77	69	80	66	74	62	47	60	71	0	26	2	700,000$
10	Daniel Carr (R)			X		100.00	62	42	88	65	73	80	77	70	61	70	67	69	65	77	69	56	59	66	0	29	2	575,000$
11	Henrik Borgstrom (R)	X				100.00	64	43	86	64	83	80	77	73	73	67	62	70	66	65	62	81	39	66	0	23	2	925,000$
12	Alan Quine (R)		X			100.00	61	43	90	66	75	77	76	71	67	71	65	69	66	73	67	52	60	66	0	28	2	575,000$
13	Thomas Chabot (R)				X	100.00	67	35	79	79	75	94	83	90	30	95	80	85	69	57	59	81	55	76	0	24	3	2,000,000$
14	Joel Edmundson (R)				X	100.00	84	55	63	66	89	85	84	72	30	77	75	88	52	73	67	62	53	75	0	28	2	2,000,000$
15	Ladislav Smid				X	100.00	99	79	45	62	77	82	83	87	50	66	55	72	50	99	99	28	53	73	0	35	3	900,000$
16	Darren Dietz (R)				X	100.00	95	45	82	63	75	62	87	77	25	68	57	79	50	59	55	43	58	69	0	27	2	600,000$
17	Haydn Fleury (R)				X	100.00	67	42	83	67	85	78	72	73	30	74	61	72	52	67	64	85	51	68	0	24	1	1,713,330$
18	Noah Dobson (R)				X	100.00	58	42	87	68	83	74	61	73	30	75	57	69	51	60	63	87	31	65	0	21	3	894,167$
Scratches
1	Josh Norris (R)	X				100.00	62	38	86	65	79	85	74	70	76	68	67	69	63	61	65	83	20	66	0	22	3	925,000$
2	Kevin Stenlund (R)	X				100.00	66	46	89	62	88	83	78	68	72	65	62	67	62	67	63	68	20	65	0	24	2	864,166$
3	Mitchell Stephens (R)	X				100.00	59	45	89	61	72	77	73	70	76	66	63	69	64	65	63	77	20	64	0	24	3	833,333$
4	Givani Smith (R)			X		100.00	64	53	81	61	82	74	73	66	52	63	61	67	59	63	62	74	20	63	0	23	3	714,166$
5	Brett Carson				X	100.00	60	27	99	62	80	62	66	51	24	49	47	80	50	99	99	54	20	66	0	35	2	575,000$
6	Dean Kukan (R)				X	100.00	56	41	89	63	79	82	72	68	30	71	55	71	49	73	67	36	23	66	0	27	2	725,000$
7	Jeremy Lauzon (R)				X	100.00	63	49	79	61	78	80	76	66	30	64	59	71	53	65	62	72	23	65	0	24	2	747,500$
8	Joel Hanley (R)				X	100.00	58	42	82	60	71	78	72	65	30	65	60	63	53	77	67	52	19	63	0	30	1	575,000$
9	Evan Bouchard (R)				X	100.00	60	35	77	57	77	72	53	64	30	62	60	64	50	59	52	86	20	60	0	21	2	925,000$

	TEAM AVERAGE					100.00	68	43	82	67	78	79	79	75	53	73	68	75	61	70	66	66	44	69

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	Alexandar Georgiev (R)	100.00	91	95	93	76	92	94	96	94	94	91	87	67	71	62	66	87	0
2	Magnus Hellberg (R)	100.00	79	86	82	82	82	89	80	89	81	73	74	86	85	48	60	81	0
Scratches

	TEAM AVERAGE	100.00	85	91	88	79	87	92	88	92	88	82	81	77	78	55	63	84

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Paul MacLean	91	71	74	88	99	83	78	FRA	62	2	1,000,000$

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	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	P/20	S1	S2	S3
1	Jake DeBrusk	Flames (CGY)	RW	13	8	11	19	5	6	19	22	50	15	31	16.00%	6	271	20.89	2	6	8	14	54	1	0	1	2	44	0	1	29.41%	17	13	2	1	1.40	2	0	0
2	Jake Guentzel	Flames (CGY)	LW	13	8	8	16	5	2	23	25	60	18	20	13.33%	8	273	21.04	4	3	7	18	54	0	1	1	1	46	2	0	43.16%	95	7	6	0	1.17	0	3	2
3	Oscar Lindberg	Flames (CGY)	C	13	2	13	15	3	8	26	23	27	19	18	7.41%	5	243	18.72	1	5	6	3	54	0	0	0	2	18	1	1	56.58%	281	2	1	0	1.23	0	1	3
4	Danton Heinen	Flames (CGY)	C	13	4	3	7	-5	2	18	32	43	8	10	9.30%	7	218	16.78	2	0	2	7	38	0	0	0	0	4	0	1	49.52%	210	10	4	0	0.64	1	0	0
5	Thomas Chabot	Flames (CGY)	D	13	1	6	7	0	12	20	29	17	12	13	5.88%	19	315	24.25	0	1	1	0	58	0	0	0	0	42	0	0	0.00%	0	6	10	0	0.44	1	0	0
6	Kevin Fiala	Flames (CGY)	RW	13	0	6	6	-6	6	15	14	52	9	27	0.00%	2	233	17.93	0	2	2	1	38	0	0	0	2	18	0	0	38.89%	18	8	2	0	0.51	0	0	0
7	Roope Hintz	Flames (CGY)	LW	13	5	0	5	-4	4	27	15	16	4	9	31.25%	3	226	17.40	0	0	0	0	38	0	0	0	1	11	2	0	41.67%	12	2	5	0	0.44	0	0	0
8	Devin Shore	Flames (CGY)	C	13	1	4	5	-3	0	14	29	33	10	22	3.03%	2	198	15.26	0	0	0	0	0	0	0	0	0	14	0	0	53.33%	210	2	3	0	0.50	0	0	0
9	Ladislav Smid	Flames (CGY)	D	13	0	4	4	1	24	41	17	14	8	3	0.00%	16	270	20.79	0	1	1	0	34	0	0	0	0	22	0	0	0.00%	0	3	4	0	0.30	0	0	0
10	Joel Armia	Flames (CGY)	RW	13	3	0	3	-4	0	22	12	22	8	14	13.64%	12	184	14.16	0	0	0	0	0	0	0	0	0	0	1	0	53.85%	13	6	1	0	0.33	1	1	0
11	Adrian Kempe	Flames (CGY)	LW	13	1	2	3	-4	4	16	17	33	9	17	3.03%	7	184	14.17	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	8	4	3	0	0.33	0	0	0
12	Joel Edmundson	Flames (CGY)	D	13	2	0	2	0	14	31	28	18	3	8	11.11%	11	313	24.09	1	0	1	1	58	0	0	0	0	40	0	0	0.00%	0	3	7	0	0.13	0	0	0
13	Darren Dietz	Flames (CGY)	D	13	0	2	2	1	0	19	19	10	5	4	0.00%	15	278	21.42	0	1	1	0	34	0	0	0	0	31	0	0	0.00%	0	2	5	0	0.14	0	0	0
14	Daniel Carr	Flames (CGY)	RW	13	1	0	1	0	0	9	1	11	4	16	9.09%	3	92	7.10	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	2	3	0	0.22	0	0	0
15	Henrik Borgstrom	Flames (CGY)	C	13	0	1	1	0	0	10	7	11	6	4	0.00%	2	91	7.05	0	0	0	0	0	0	0	0	0	0	0	0	44.83%	29	1	1	0	0.22	0	0	0
16	Haydn Fleury	Flames (CGY)	D	13	0	1	1	-5	8	13	20	9	6	2	0.00%	19	202	15.58	0	0	0	0	0	0	0	0	0	2	0	0	0.00%	0	1	7	0	0.10	0	0	0
17	Alan Quine	Flames (CGY)	LW	13	0	1	1	0	0	4	5	23	10	9	0.00%	3	93	7.16	0	0	0	0	0	0	0	0	0	1	0	0	66.67%	3	1	0	0	0.21	0	0	0
18	Noah Dobson	Flames (CGY)	D	13	0	1	1	-5	2	7	10	3	2	5	0.00%	16	220	16.99	0	0	0	0	0	0	0	0	0	21	0	0	0.00%	0	2	5	0	0.09	0	0	0
Team Total or Average				234	36	63	99	-21	92	334	325	452	156	232	7.96%	156	3910	16.71	10	19	29	44	466	1	1	2	8	320	6	3	51.22%	898	75	69	1	0.51	5	5	5

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	EG	ST	BG	S1	S3
1	Alexandar Georgiev	Flames (CGY)	12	6	4	2	0.910	2.98	685	0	34	377	154	1	12	1	1	1
2	Magnus Hellberg	Flames (CGY)	3	0	1	0	0.886	2.68	112	2	5	44	20	0	1	12	0	0
Team Total or Average			15	6	5	2	0.907	2.94	797	2	39	421	174	1	13	13	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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3
Adrian Kempe	Flames (CGY)	LW	24	1996-09-13 05:44:01	Yes	201 Lbs	6 ft2	No	No	No	3	Pro & Farm	800,000$	0$	0$	No	800,000$	800,000$
Alan Quine	Flames (CGY)	LW	28	1993-02-25 18:35:24	Yes	203 Lbs	6 ft0	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Alexandar Georgiev	Flames (CGY)	G	25	1996-02-10 10:25:08	Yes	179 Lbs	6 ft1	No	No	No	1	Pro & Farm	925,000$	0$	0$	No
Brett Carson	Flames (CGY)	D	35	1985-11-29 11:11:13	No	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Daniel Carr	Flames (CGY)	RW	29	1991-10-31 07:15:35	Yes	194 Lbs	6 ft0	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	575,000$
Danton Heinen	Flames (CGY)	C	25	1995-07-05 09:18:29	Yes	188 Lbs	6 ft1	No	No	No	3	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	1,250,000$
Darren Dietz	Flames (CGY)	D	27	1993-07-16 06:42:37	Yes	206 Lbs	6 ft1	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$
Dean Kukan	Flames (CGY)	D	27	1993-07-08 06:33:23	Yes	186 Lbs	6 ft2	No	No	No	2	Pro & Farm	725,000$	0$	0$	No	725,000$
Devin Shore	Flames (CGY)	C	26	1994-07-18 18:38:49	Yes	205 Lbs	6 ft0	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$
Evan Bouchard	Flames (CGY)	D	21	1999-10-20 02:25:19	Yes	194 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$
Givani Smith	Flames (CGY)	RW	23	1998-02-27 01:21:12	Yes	205 Lbs	6 ft2	No	No	No	3	Pro & Farm	714,166$	0$	0$	No	714,166$	714,166$
Haydn Fleury	Flames (CGY)	D	24	1996-07-08 04:00:49	Yes	221 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,713,330$	0$	0$	No
Henrik Borgstrom	Flames (CGY)	C	23	1997-08-06 02:20:11	Yes	190 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$
Jake DeBrusk	Flames (CGY)	RW	24	1996-10-17 13:20:08	Yes	188 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,288,330$	0$	0$	No
Jake Guentzel	Flames (CGY)	LW	26	1994-10-06 05:45:54	Yes	180 Lbs	5 ft11	No	No	No	3	Pro & Farm	2,500,000$	0$	0$	No	2,500,000$	2,500,000$
Jeremy Lauzon	Flames (CGY)	D	24	1997-04-28 02:22:22	Yes	204 Lbs	6 ft1	No	No	No	2	Pro & Farm	747,500$	0$	0$	No	747,500$
Joel Armia	Flames (CGY)	RW	28	1993-05-31 11:11:13	Yes	210 Lbs	6 ft4	No	No	No	1	Pro & Farm	800,000$	0$	0$	No
Joel Edmundson	Flames (CGY)	D	28	1993-06-28 04:30:16	Yes	215 Lbs	6 ft4	No	No	No	2	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$
Joel Hanley	Flames (CGY)	D	30	1991-06-08 06:37:23	Yes	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	575,000$	0$	0$	No
Josh Norris	Flames (CGY)	C	22	1999-05-05 02:56:41	Yes	192 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$
Kevin Fiala	Flames (CGY)	RW	24	1996-07-22 05:11:13	Yes	193 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No
Kevin Stenlund	Flames (CGY)	C	24	1996-09-20 02:17:36	Yes	210 Lbs	6 ft4	No	No	No	2	Pro & Farm	864,166$	0$	0$	No	864,166$
Ladislav Smid	Flames (CGY)	D	35	1986-02-01 17:11:13	No	212 Lbs	6 ft3	No	No	No	3	Pro & Farm	900,000$	0$	0$	No	900,000$	900,000$
Magnus Hellberg	Flames (CGY)	G	30	1991-04-04 23:11:14	Yes	192 Lbs	6 ft5	No	No	No	1	Pro & Farm	800,000$	0$	0$	No
Mitchell Stephens	Flames (CGY)	C	24	1997-02-05 03:05:21	Yes	194 Lbs	6 ft0	No	No	No	3	Pro & Farm	833,333$	0$	0$	No	833,333$	833,333$
Noah Dobson	Flames (CGY)	D	21	2000-01-07 03:09:05	Yes	183 Lbs	6 ft4	No	No	No	3	Pro & Farm	894,167$	0$	0$	No	894,167$	894,167$
Oscar Lindberg	Flames (CGY)	C	29	1991-10-29 23:11:13	Yes	202 Lbs	6 ft1	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Roope Hintz	Flames (CGY)	LW	24	1996-11-17 02:27:43	Yes	215 Lbs	6 ft3	No	No	No	2	Pro & Farm	811,667$	0$	0$	No	811,667$
Thomas Chabot	Flames (CGY)	D	24	1997-01-30 05:55:22	Yes	196 Lbs	6 ft2	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
29	26.00	199 Lbs	6 ft2	2.03	994,540$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jake Guentzel	Oscar Lindberg	Jake DeBrusk	30	1	2	2
2	Roope Hintz	Danton Heinen	Kevin Fiala	30	1	2	2
3	Adrian Kempe	Devin Shore	Joel Armia	30	1	2	2
4	Alan Quine	Henrik Borgstrom	Daniel Carr	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Thomas Chabot	Joel Edmundson	34	1	2	2
2	Ladislav Smid	Darren Dietz	34	1	2	2
3	Haydn Fleury	Noah Dobson	32	1	2	2
4	Thomas Chabot	Joel Edmundson	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jake Guentzel	Oscar Lindberg	Jake DeBrusk	60	1	2	2
2	Roope Hintz	Danton Heinen	Kevin Fiala	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Thomas Chabot	Joel Edmundson	60	1	2	2
2	Ladislav Smid	Darren Dietz	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jake Guentzel	Jake DeBrusk	60	1	2	2
2	Kevin Fiala	Oscar Lindberg	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Thomas Chabot	Joel Edmundson	60	1	2	2
2	Ladislav Smid	Darren Dietz	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jake Guentzel	60	1	2	2	Thomas Chabot	Joel Edmundson	60	1	2	2
2	Jake DeBrusk	40	1	2	2	Ladislav Smid	Darren Dietz	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jake Guentzel	Jake DeBrusk	60	1	2	2
2	Kevin Fiala	Oscar Lindberg	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Thomas Chabot	Joel Edmundson	60	1	2	2
2	Ladislav Smid	Darren Dietz	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jake Guentzel	Oscar Lindberg	Jake DeBrusk	Thomas Chabot	Joel Edmundson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jake Guentzel	Oscar Lindberg	Jake DeBrusk	Thomas Chabot	Joel Edmundson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Joel Armia, Adrian Kempe, Devin Shore	Joel Armia, Adrian Kempe	Devin Shore

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Haydn Fleury, Noah Dobson, Ladislav Smid	Haydn Fleury	Noah Dobson, Ladislav Smid

Penalty Shots
Jake Guentzel, Jake DeBrusk, Kevin Fiala, Oscar Lindberg, Danton Heinen

Goalie
#1 : Alexandar Georgiev, #2 : Magnus Hellberg

Custom OT Lines Forwards
Jake Guentzel, Jake DeBrusk, Kevin Fiala, Oscar Lindberg, Danton Heinen, Joel Armia, Joel Armia, Roope Hintz, Adrian Kempe, Devin Shore , Alan Quine

Custom OT Lines Defensemen
Thomas Chabot, Joel Edmundson, Ladislav Smid, Darren Dietz, Haydn Fleury

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	Blackhawks	6	2	4	0	0	0	0	0	15	22	-7	3	0	3	0	0	0	0	0	6	13	-7	3	2	1	0	0	0	0	0	9	9	0	4	0.333	15	25	40	1	0	14	11	9	2	206	141	146	154	11	203	77	54	134	21	2	9.52%	27	8	70.37%	0	204	382	53.40%	166	329	50.46%	90	187	48.13%	306	184	270	114	220	112
2	Predators	7	4	3	0	0	0	0	0	21	18	3	3	2	1	0	0	0	0	0	9	6	3	4	2	2	0	0	0	0	0	12	12	0	8	0.571	21	38	59	0	0	14	11	9	2	246	141	146	154	11	219	79	40	200	34	8	23.53%	20	2	90.00%	1	204	382	53.40%	166	329	50.46%	90	187	48.13%	306	184	270	114	220	112
	Total	13	6	7	0	0	0	0	0	36	40	-4	6	2	4	0	0	0	0	0	15	19	-4	7	4	3	0	0	0	0	0	21	21	0	12	0.462	36	63	99	1	0	14	11	9	2	452	141	146	154	11	422	156	94	334	55	10	18.18%	47	10	78.72%	1	204	382	53.40%	166	329	50.46%	90	187	48.13%	306	184	270	114	220	112
	_Since Last GM Reset	13	6	7	0	0	0	0	0	36	40	-4	6	2	4	0	0	0	0	0	15	19	-4	7	4	3	0	0	0	0	0	21	21	0	12	0.462	36	63	99	1	0	14	11	9	2	452	141	146	154	11	422	156	94	334	55	10	18.18%	47	10	78.72%	1	204	382	53.40%	166	329	50.46%	90	187	48.13%	306	184	270	114	220	112
	_Vs Conference	13	6	7	0	0	0	0	0	36	40	-4	6	2	4	0	0	0	0	0	15	19	-4	7	4	3	0	0	0	0	0	21	21	0	12	0.462	36	63	99	1	0	14	11	9	2	452	141	146	154	11	422	156	94	334	55	10	18.18%	47	10	78.72%	1	204	382	53.40%	166	329	50.46%	90	187	48.13%	306	184	270	114	220	112

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
13	12	L1	36	63	99	452	422	156	94	334	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
13	6	7	0	0	0	0	36	40

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	2	4	0	0	0	0	15	19

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	3	0	0	0	0	21	21

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
55	10	18.18%	47	10	78.72%	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
141	146	154	11	14	11	9	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
204	382	53.40%	166	329	50.46%	90	187	48.13%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
306	184	270	114	220	112

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
2 - 2020-12-18	5	Flames	5	Predators	3	W		BoxScore
4 - 2020-12-20	13	Flames	1	Predators	4	L		BoxScore
6 - 2020-12-22	21	Predators	1	Flames	2	W	X	BoxScore
8 - 2020-12-24	29	Predators	2	Flames	5	W		BoxScore
10 - 2020-12-26	37	Flames	2	Predators	3	L	X	BoxScore
12 - 2020-12-28	45	Predators	3	Flames	2	L	X	BoxScore
14 - 2020-12-30	53	Flames	4	Predators	2	W		BoxScore
16 - 2021-01-01	59	Flames	2	Blackhawks	4	L		BoxScore
18 - 2021-01-03	63	Flames	4	Blackhawks	3	W	X	BoxScore
20 - 2021-01-05	67	Blackhawks	4	Flames	2	L		BoxScore
22 - 2021-01-07	71	Blackhawks	4	Flames	2	L		BoxScore
24 - 2021-01-09	75	Flames	3	Blackhawks	2	W		BoxScore
26 - 2021-01-11	79	Blackhawks	5	Flames	2	L		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	45	25
Attendance	10,526	5,860
Attendance PCT	87.72%	97.67%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
35	2731 - 91.03%	139,538$	837,230$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,884,167$	1,606,667$	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$

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

	Flames
	GP: 13 \| W: 6 \| L: 7 GF: 36 \| GA: 40 \| PP%: 18.18% \| PK%: 78.72% GM : Benoit Talbot \| Morale : 10 \| Team Overall : 70