Heat
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension

Game Center
	Flames 26-26-4, 56pts	4	FINAL	5	Canucks 25-31-3, 53pts

Team Stats
W1	Streak	OTW1
14-15-0	Home Record	12-14-2
12-11-4	Away Record	13-17-1
5-2-3	Last 10 Games	2-7-1
3.39	Goals Per Game	3.03
3.39	Goals Against Per Game	3.39
22.01%	Power Play Percentage	19.12%
84.71%	Penalty Kill Percentage	81.40%

Predators
29-25-3, 61pts

FINAL

Flames
26-26-4, 56pts

Team Stats
L3	Streak	W1
14-13-1	Home Record	14-15-0
15-12-2	Away Record	12-11-4
4-6-0	Last 10 Games	5-2-3
3.44	Goals Per Game	3.39
3.54	Goals Against Per Game	3.39
17.92%	Power Play Percentage	22.01%
78.95%	Penalty Kill Percentage	84.71%

Flames
26-26-4, 56pts

2023-03-16

Maple Leafs
26-24-4, 56pts

Team Stats
W1	Streak	SOW1
14-15-0	Home Record	16-13-0
12-11-4	Away Record	10-11-4
5-2-3	Last 10 Games	5-5-0
3.39	Goals Per Game	3.61
3.39	Goals Against Per Game	3.61
22.01%	Power Play Percentage	24.20%
84.71%	Penalty Kill Percentage	81.36%

Maple Leafs
26-24-4, 56pts

2023-03-18

Flames
26-26-4, 56pts

Team Stats
SOW1	Streak	W1
16-13-0	Home Record	14-15-0
10-11-4	Away Record	12-11-4
5-5-0	Last 10 Games	5-2-3
3.61	Goals Per Game	3.39
3.61	Goals Against Per Game	3.39
24.20%	Power Play Percentage	22.01%
81.36%	Penalty Kill Percentage	84.71%

Red Wings
30-21-7, 67pts

2023-03-23

Flames
26-26-4, 56pts

Team Stats
W4	Streak	W1
14-11-3	Home Record	14-15-0
16-10-4	Away Record	12-11-4
8-2-0	Last 10 Games	5-2-3
3.45	Goals Per Game	3.39
3.38	Goals Against Per Game	3.39
20.25%	Power Play Percentage	22.01%
80.45%	Penalty Kill Percentage	84.71%

Team Leaders
	Goals Patrik Berglund 25	Assists Patrik Berglund 39

	Points Patrik Berglund 64	Plus/Minus David Ullstrom 8

	Wins Henrik Lundqvist 19	Save Percentage Henrik Lundqvist 0.891

Team Stats
Goals For 190 3.39 GFG	Shots For 1787 31.91 Avg	Power Play Percentage 22.0% 46 GF	Offensive Zone Start 38.0%
Goals Against 190 3.39 GAA	Shots Against 1710 30.54 Avg	Penalty Kill Percentage 84.7%% 37 GA	Defensive Zone Start 37.1%

Team Info
	General Manager	Steve Landry
	Coach	Lindy Ruff
	Division	Lalancette K
	Conference	Prince de Galles
	Captain	Eric Staal
	Assistant #1	Erik Johnson
	Assistant #2
Arena Info
	Name	Scotiabank Saddledome
	Capacity	18,000
	Attendance	17,336
	Season Tickets	7,200
Roster Info
	Pro Team	23
	Farm Team	32
	Contract Limit	55 / 250
	Prospects	0
Salary Cap
	Estimated Season Salary Cap	54,003,291$
	Available Salary Cap	45,757,758$
	Special Salary Cap Value	0$
	Players In Salary Cap	23
Finance
	Year to Date Revenue	40,743,857$
	Year To Date Expenses	39,100,887$
	Estimated Season Revenue	15,454,566$
	Estimated Season Expenses	16,902,540$
	Current Bank Account	36,761,049$
	Projected Bank Account	35,350,015$

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	Eric Staal (C)	X				100.00	75	54	76	74	75	73	84	85	80	79	77	75	84	93	99	18	47	78	1	33	3	5,000,000$
2	Brad Marchand		X			100.00	77	45	81	80	83	79	75	74	74	78	78	75	81	74	57	26	47	76	0	29	1	4,000,000$
3	Patrik Berglund	X				100.00	75	27	89	73	81	81	82	76	81	76	85	73	76	75	58	26	47	76	1	29	1	3,500,000$
4	Bryan Rust			X		100.00	71	25	85	75	79	89	79	72	77	78	78	77	69	67	54	39	47	75	0	25	2	2,000,000$
5	Jimmy Hayes			X		100.00	81	44	78	75	76	69	80	80	74	77	81	75	65	71	65	28	47	75	0	28	2	2,000,000$
6	Colin Wilson	X				100.00	74	24	84	77	86	79	80	75	84	74	77	65	79	66	63	32	47	74	0	28	2	3,000,000$
7	Kyle Palmieri			X		100.00	73	24	78	79	78	80	82	83	73	74	74	71	77	58	54	34	37	74	0	26	1	1,800,000$
8	Tanner Pearson		X			100.00	69	28	92	79	81	79	82	77	63	67	84	65	78	69	67	44	47	74	0	25	4	2,000,000$
9	Anders Lee	X				100.00	81	26	85	77	76	76	71	72	72	69	82	68	72	66	64	29	47	73	0	27	1	1,400,000$
10	Kevin Labanc (R)			X		100.00	64	27	79	87	77	73	77	82	72	74	73	66	84	60	52	54	49	73	0	21	3	1,200,000$
11	David Ullstrom		X			100.00	74	21	80	72	83	81	73	78	72	82	66	71	66	66	61	29	47	72	0	28	1	2,100,000$
12	Vladimir Sobotka	X				100.00	65	38	73	72	72	78	70	72	72	72	72	72	64	72	58	21	19	70	0	30	1	985,000$
13	Erik Johnson (A)				X	100.00	73	47	76	78	81	86	91	81	69	81	79	84	69	87	53	30	47	78	1	29	1	5,500,000$
14	Sami Vatanen				X	100.00	77	36	86	82	80	84	88	82	61	78	79	71	71	77	50	37	47	77	1	26	2	3,500,000$
15	Esa Lindell				X	100.00	72	29	87	83	76	79	82	83	51	85	70	73	65	70	49	45	47	76	0	23	4	2,000,000$
16	Christian Folin				X	100.00	68	31	81	80	77	78	80	86	61	78	62	81	62	68	60	32	47	75	0	26	3	1,500,000$
17	Brendan Mikkelson				X	100.00	70	38	80	73	75	76	74	68	58	76	65	84	68	73	58	20	47	74	0	30	1	1,400,000$
18	Colby Robak				X	100.00	75	36	76	72	80	79	79	73	67	80	70	78	68	73	53	31	47	74	0	27	2	1,800,000$
Scratches
1	Jake DeBrusk (R)		X			100.00	78	52	82	76	79	78	76	72	70	74	79	68	72	58	47	60	48	73	0	21	2	975,000$
2	David Savard				X	100.00	78	42	76	75	77	79	76	70	63	68	72	76	68	79	61	30	20	74	0	27	2	1,800,000$
Farm Team
1	Matthew Nieto		X			100.00	73	28	79	70	77	81	79	75	74	80	72	64	72	68	63	38	56	72	0	25	1	950,000$
2	Evgeny Svechnikov (R)			X		100.00	69	32	86	68	86	76	77	72	75	70	88	52	70	54	46	58	58	71	0	21	2	900,000$
3	Philip Varone	X				100.00	71	24	71	72	73	75	78	75	79	76	72	62	66	73	65	29	38	71	0	27	1	900,000$
4	Victor Rask (R)	X				100.00	72	34	78	73	76	74	75	73	76	71	79	63	76	60	50	44	41	71	0	24	2	950,000$
5	Ryan Spooner	X				100.00	64	31	75	73	74	73	73	69	75	78	68	61	66	53	48	36	48	68	0	25	1	850,000$
6	Barclay Goodrow (R)			X		100.00	76	29	73	71	68	67	68	68	65	69	71	70	64	46	50	38	58	67	0	24	1	850,000$
7	Nico Sturm (R)	X				100.00	64	29	87	71	75	77	76	63	71	73	56	68	68	48	49	49	58	67	0	22	1	500,000$
8	Chris Brown	X				100.00	63	42	80	73	69	70	72	63	60	56	82	53	69	50	50	29	44	66	0	26	1	750,000$
9	Eric Karlsson (R)		X			100.00	80	33	72	67	77	66	68	62	63	64	71	61	54	47	47	41	58	65	0	23	3	650,000$
10	Jesper Bratt (R)		X			100.00	60	47	70	69	63	71	67	68	71	69	67	55	70	41	42	71	37	64	0	19	1	500,000$
11	Tage Thompson (R)			X		100.00	55	32	83	67	62	75	62	51	62	69	49	59	57	44	43	65	59	59	0	20	1	500,000$
12	Mathieu Brodeur				X	100.00	72	28	85	68	72	74	74	72	48	71	57	77	59	69	54	25	43	71	0	27	1	850,000$
13	Rasmus Andersson (R)				X	100.00	71	37	82	81	65	66	72	81	42	79	65	72	54	55	47	60	42	71	0	21	2	950,000$
14	Frank Corrado (R)				X	100.00	69	40	73	69	76	75	74	73	57	70	59	68	60	57	50	39	50	68	0	24	3	800,000$
15	Trevor Carrick (R)				X	100.00	60	38	74	80	63	64	74	75	39	74	55	65	41	46	47	35	32	66	0	23	1	600,000$
16	Dominik Masin (R)				X	100.00	64	31	84	65	67	62	68	53	29	60	42	75	50	46	44	53	44	63	0	21	3	600,000$
17	Brandon Hickey (R)				X	100.00	62	27	82	59	60	59	60	50	33	66	42	76	49	43	43	42	58	62	0	21	2	600,000$
18	Erik Brannstrom (R)				X	100.00	48	29	67	69	44	42	69	82	33	80	57	67	33	40	40	85	49	60	0	18	2	500,000$
19	Peter Cehlarik (R)		X			100.00	67	44	79	71	65	72	71	72	73	74	70	59	70	48	46	52	53	68	0	22	3	800,000$
20	Ryan Donato (R)	X				100.00	72	37	73	62	78	64	70	65	71	64	73	47	65	43	43	53	20	64	0	21	1	600,000$
21	Vladislav Kamenev (R)	X				100.00	69	28	71	49	71	65	67	67	58	57	74	56	71	43	43	54	20	61	0	21	1	600,000$
22	Taylor Raddysh (R)			X		100.00	55	46	78	60	67	67	57	67	67	59	63	55	65	41	41	64	20	61	0	19	2	500,000$
23	Ivan Chekhovich (R)		X			100.00	62	23	73	46	73	54	57	59	56	58	75	33	63	40	40	71	20	57	0	18	2	500,000$
24	Radim Zohorna (R)		X			100.00	55	37	73	57	67	71	60	58	52	55	67	41	55	46	44	55	20	57	0	21	1	500,000$
25	Skyler Brind'Amour (R)	X				100.00	43	31	75	49	52	68	55	44	52	53	51	53	51	40	40	69	20	52	0	18	2	500,000$
26	John Gilmour (R)				X	100.00	69	32	75	66	61	74	66	73	50	71	56	64	56	47	49	34	19	65	0	24	2	700,000$
27	Petteri Lindbohm (R)				X	100.00	58	39	74	61	64	66	69	72	45	66	70	67	55	47	52	37	20	65	0	24	1	600,000$
28	Christian Jaros (R)				X	100.00	65	29	75	62	60	59	56	60	32	67	44	70	50	43	44	47	20	62	0	21	3	600,000$
29	Darren Raddysh (R)				X	100.00	61	24	90	63	56	66	60	45	44	66	35	65	37	49	45	55	20	60	0	21	2	500,000$

	TEAM AVERAGE					100.00	68	34	79	70	72	72	73	70	62	71	68	66	64	58	52	43	41	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	Age	Contract	Salary
1	Henrik Lundqvist	98.00	81	91	77	78	78	78	77	83	78	78	77	92	99	13	47	80	2	35	2	4,000,000$
2	Christopher Gibson	100.00	76	81	77	76	73	76	80	83	80	78	71	61	57	36	47	77	1	25	2	1,900,000$
Scratches
1	Nathan Lieuwen	100.00	66	66	62	59	62	69	60	67	67	61	62	61	61	28	20	64	0	26	1	700,000$
Farm Team
1	Michael Hutchinson	97.00	72	78	74	73	76	73	73	78	77	69	72	65	63	26	58	74	0	27	1	975,000$
2	Vitek Vanecek	100.00	62	68	67	58	58	71	76	51	56	74	61	44	44	51	59	62	0	21	2	600,000$
3	Collin Delia (R)	100.00	71	52	63	70	68	55	49	57	61	53	66	41	41	61	20	58	0	23	1	500,000$

	TEAM AVERAGE	99.17	71	73	70	69	69	70	69	70	70	69	68	61	61	36	42	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Lindy Ruff	87	64	75	78	88	88	54	CAN	53	1	2,000,000$

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	HT	P/20	PSG	PSS	S1	S2	S3
1	Patrik Berglund	Flames	C	56	25	39	64	1	22	70	136	156	52	84	16.03%	24	1141	20.38	10	19	29	30	179	0	1	1	6	211	3	2	52.61%	1304	20	24	1	1.12	0	1	5	2	3
2	Jimmy Hayes	Flames	RW	56	25	34	59	-1	46	103	61	174	56	110	14.37%	22	914	16.32	14	17	31	42	178	0	0	0	0	0	1	3	44.83%	58	26	14	1	1.29	1	1	3	5	2
3	Eric Staal	Flames	C	56	24	31	55	-2	68	106	110	163	50	94	14.72%	26	1119	19.99	3	5	8	9	138	1	0	1	9	109	5	0	48.57%	1291	36	19	1	0.98	0	2	6	3	1
4	Tanner Pearson	Flames	LW	56	20	28	48	-4	4	45	48	158	34	87	12.66%	15	915	16.34	7	11	18	38	180	0	0	0	0	0	1	2	34.04%	47	24	15	0	1.05	0	1	1	1	4
5	Brad Marchand	Flames	LW	56	19	27	46	3	20	83	83	170	59	98	11.18%	26	1103	19.71	0	1	1	0	9	0	1	1	13	203	3	1	47.62%	84	41	21	1	0.83	0	1	5	3	2
6	Bryan Rust	Flames	RW	56	15	26	41	3	12	72	55	114	35	69	13.16%	27	990	17.70	0	0	0	1	7	0	2	2	6	96	3	1	56.45%	62	24	21	0	0.83	0	0	1	2	3
7	Erik Johnson	Flames	D	56	5	23	28	2	82	92	100	108	49	40	4.63%	89	1460	26.08	3	4	7	22	196	1	2	3	3	189	1	0	0.00%	0	36	48	0	0.38	0	0	0	2	0
8	Kevin Labanc	Flames	RW	56	11	16	27	-2	16	48	33	107	33	46	10.28%	6	553	9.89	4	4	8	22	139	0	0	0	0	0	0	2	50.00%	20	31	9	0	0.98	1	1	1	1	2
9	Sami Vatanen	Flames	D	56	3	23	26	-2	20	79	81	85	40	35	3.53%	70	1344	24.00	1	6	7	19	195	0	1	1	3	73	0	0	0.00%	0	35	34	0	0.39	0	0	0	2	0
10	David Ullstrom	Flames	LW	56	6	10	16	8	12	58	36	70	22	52	8.57%	16	581	10.39	0	0	0	0	0	1	0	1	3	77	2	0	50.00%	10	11	12	0	0.55	0	0	0	0	2
11	Colby Robak	Flames	D	56	3	12	15	5	54	41	73	44	24	25	6.82%	47	943	16.84	0	0	0	0	2	0	0	0	1	138	2	0	0.00%	0	10	30	0	0.32	0	1	1	1	0
12	Jake DeBrusk	Flames	LW	53	7	7	14	-17	16	57	40	72	18	42	9.72%	12	638	12.04	1	3	4	6	136	0	0	0	0	6	1	0	38.46%	26	17	11	0	0.44	0	0	0	0	3
13	Kyle Palmieri	Flames	RW	49	4	10	14	-8	18	60	33	111	49	70	3.60%	17	540	11.02	0	0	0	0	0	0	0	0	0	13	0	1	31.58%	19	23	10	0	0.52	0	0	0	1	1
14	Anders Lee	Flames	C	56	9	4	13	1	4	45	27	44	13	10	20.45%	11	488	8.73	0	0	0	0	7	1	0	1	3	62	1	0	43.33%	150	8	9	0	0.53	1	1	1	0	0
15	Christian Folin	Flames	D	56	3	10	13	-9	34	52	66	55	25	33	5.45%	69	1136	20.30	1	1	2	3	82	0	0	0	0	170	0	0	0.00%	0	26	40	0	0.23	0	0	0	0	0
16	Esa Lindell	Flames	D	56	3	10	13	-10	6	53	64	60	30	30	5.00%	52	930	16.62	2	3	5	4	127	0	0	0	1	32	0	0	0.00%	0	16	26	0	0.28	0	0	0	0	1
17	Colin Wilson	Flames	C	56	7	5	12	-5	18	47	39	53	15	28	13.21%	15	605	10.82	0	0	0	0	0	0	0	0	0	5	2	0	49.16%	299	8	6	0	0.40	0	1	0	0	0
18	Brendan Mikkelson	Flames	D	56	1	7	8	-2	22	40	64	42	18	20	2.38%	43	940	16.80	0	0	0	3	48	0	0	0	2	186	1	0	0.00%	0	10	39	0	0.17	0	0	0	0	1
19	Vladimir Sobotka	Flames	C	5	0	1	1	-1	4	2	5	0	0	7	0.00%	2	41	8.22	0	0	0	0	0	0	0	0	0	4	0	0	57.14%	7	0	0	0	0.49	0	0	0	0	0
20	David Savard	Flames	D	5	0	0	0	-2	0	3	4	1	1	1	0.00%	2	35	7.19	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	1	0	0.00%	0	0	0	0	0
Team Total or Average				1008	190	323	513	-42	478	1156	1158	1787	623	981	10.63%	591	16426	16.30	46	74	120	199	1631	4	7	11	50	1579	26	12	49.66%	3377	402	389	4	0.62	3	10	24	23	25

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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Henrik Lundqvist	Flames	48	19	18	4	0.891	3.36	2499	2	140	1285	647	2	0	0.500	8	45	11	2	3	3
2	Christopher Gibson	Flames	20	7	8	0	0.887	3.33	866	0	48	424	206	3	1	0.00%	0	11	45	1	0	0
Team Total or Average			68	26	26	4	0.890	3.35	3365	2	188	1709	853	5	1		8	56	56	3	3	3

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	Salary Year 4	Link
Anders Lee	Flames	C	27	1990-01-01	No	225 Lbs	6 ft2	No	No	No	1	Pro Only	1,400,000$	422,111$	1,400,000$	422,111$	No
Brad Marchand	Flames	LW	29	1988-01-01	No	183 Lbs	5 ft9	No	No	No	1	Pro Only	4,000,000$	1,206,030$	4,000,000$	1,206,030$	No
Brendan Mikkelson	Flames	D	30	1987-01-01	No	205 Lbs	6 ft3	No	No	No	1	Pro Only	1,400,000$	422,111$	1,400,000$	422,111$	No
Bryan Rust	Flames	RW	25	1992-01-01	No	192 Lbs	5 ft11	No	No	No	2	Pro Only	2,000,000$	603,015$	2,000,000$	603,015$	No	2,000,000$
Christian Folin	Flames	D	26	1991-01-01	No	214 Lbs	6 ft3	No	No	No	3	Pro Only	1,500,000$	452,261$	1,500,000$	452,261$	No	2,000,000$	2,200,000$
Christopher Gibson	Flames	G	25	1992-01-01	No	190 Lbs	6 ft1	No	No	No	2	Pro Only	1,900,000$	572,864$	1,900,000$	572,864$	No	2,400,000$
Colby Robak	Flames	D	27	1990-01-01	No	194 Lbs	6 ft3	No	No	No	2	Pro Only	1,800,000$	542,714$	1,800,000$	542,714$	No	2,100,000$
Colin Wilson	Flames	C	28	1989-01-01	No	210 Lbs	6 ft1	No	No	No	2	Pro Only	3,000,000$	904,523$	3,000,000$	904,523$	No	3,500,000$
David Savard	Flames	D	27	1990-01-01	No	219 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,800,000$	542,714$	1,800,000$	542,714$	No	2,000,000$
David Ullstrom	Flames	LW	28	1989-01-01	No	192 Lbs	6 ft3	No	No	No	1	Pro Only	2,100,000$	633,166$	2,100,000$	633,166$	No
Eric Staal	Flames	C	33	1984-01-01	No	205 Lbs	6 ft4	No	No	No	3	Pro Only	5,000,000$	1,507,538$	5,000,000$	1,507,538$	No	5,000,000$	5,000,000$
Erik Johnson	Flames	D	29	1988-01-01	No	232 Lbs	6 ft4	No	No	No	1	Pro Only	5,500,000$	1,658,291$	5,500,000$	1,658,291$	No
Esa Lindell	Flames	D	23	1994-01-01	No	187 Lbs	6 ft3	No	No	No	4	Pro Only	2,000,000$	603,015$	2,000,000$	603,015$	No	3,000,000$	3,500,000$	4,000,000$	Link
Henrik Lundqvist	Flames	G	35	1982-01-01	No	198 Lbs	6 ft1	No	No	No	2	Pro Only	4,000,000$	1,206,030$	4,000,000$	1,206,030$	No	3,000,000$
Jake DeBrusk	Flames	LW	21	1996-01-01	Yes	188 Lbs	6 ft0	No	No	No	2	Pro & Farm	975,000$	293,970$	975,000$	293,970$	No	2,000,000$			Link
Jimmy Hayes	Flames	RW	28	1989-01-01	No	221 Lbs	6 ft6	No	No	No	2	Pro Only	2,000,000$	603,015$	2,000,000$	603,015$	No	2,500,000$
Kevin Labanc	Flames	RW	21	1996-01-01	Yes	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,200,000$	361,809$	1,200,000$	361,809$	No	1,900,000$	2,800,000$		Link
Kyle Palmieri	Flames	RW	26	1991-01-01	No	195 Lbs	5 ft11	No	No	No	1	Pro Only	1,800,000$	542,714$	1,800,000$	542,714$	No
Nathan Lieuwen	Flames	G	26	1991-01-01	No	189 Lbs	6 ft5	No	No	No	1	Pro & Farm	700,000$	211,055$	700,000$	211,055$	No
Patrik Berglund	Flames	C	29	1988-01-01	No	218 Lbs	6 ft4	No	No	No	1	Pro Only	3,500,000$	1,055,276$	3,500,000$	1,055,276$	No
Sami Vatanen	Flames	D	26	1991-01-01	No	183 Lbs	5 ft10	No	No	No	2	Pro Only	3,500,000$	1,055,276$	3,500,000$	1,055,276$	No	4,000,000$
Tanner Pearson	Flames	LW	25	1992-01-01	No	193 Lbs	6 ft0	No	No	No	4	Pro Only	2,000,000$	603,015$	2,000,000$	603,015$	No	2,500,000$	3,000,000$	3,500,000$	Link
Vladimir Sobotka	Flames	C	30	1987-01-01	No	183 Lbs	5 ft10	No	No	No	1	Pro Only	985,000$	296,985$	985,000$	296,985$	No

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	27.13	200 Lbs	6 ft2	1.91	2,350,435$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
54,060,000$	37,900,000$	16,500,000$	7,500,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brad Marchand	Eric Staal	Bryan Rust	38	1	2	2
2	Tanner Pearson	Patrik Berglund	Jimmy Hayes	33	1	2	2
3	David Ullstrom	Colin Wilson	Kyle Palmieri	20	1	2	2
4	Vladimir Sobotka	Anders Lee	Kevin Labanc	9	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Johnson	Sami Vatanen	40	1	2	2
2	Colby Robak	Christian Folin	31	1	2	2
3	Esa Lindell	Brendan Mikkelson	22	1	2	2
4	Colby Robak	Christian Folin	7	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tanner Pearson	Patrik Berglund	Jimmy Hayes	60	1	1	3
2	Brad Marchand	Eric Staal	Kevin Labanc	40	1	1	3

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Johnson	Sami Vatanen	60	1	1	3
2	Esa Lindell	Brendan Mikkelson	40	1	1	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Patrik Berglund	Brad Marchand	60	1	2	2
2	Eric Staal	Bryan Rust	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Johnson	Christian Folin	60	1	2	2
2	Colby Robak	Brendan Mikkelson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Eric Staal	60	1	2	2	Erik Johnson	Christian Folin	60	1	2	2
2	Patrik Berglund	40	1	2	2	Colby Robak	Brendan Mikkelson	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Eric Staal	Brad Marchand	60	1	2	2
2	Patrik Berglund	Bryan Rust	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Erik Johnson	Sami Vatanen	60	1	2	2
2	Colby Robak	Christian Folin	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brad Marchand	Eric Staal	Bryan Rust	Erik Johnson	Sami Vatanen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brad Marchand	Eric Staal	Bryan Rust	Erik Johnson	Sami Vatanen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Patrik Berglund, Bryan Rust, Vladimir Sobotka	Kevin Labanc, Anders Lee	Eric Staal

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Esa Lindell, Christian Folin, Colby Robak	Esa Lindell	Brendan Mikkelson, Christian Folin

Penalty Shots
Eric Staal, Tanner Pearson, Anders Lee, Patrik Berglund, Jimmy Hayes

Goalie
#1 : Henrik Lundqvist, #2 : Christopher Gibson

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	Avalanche	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	2	1	1	0	29	8	12	9	0	28	9	16	20	3	0	0.00%	8	3	62.50%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	20	11	20	10	18	8
2	Blackhawks	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	1	1	0	0	24	8	7	9	0	33	12	12	16	3	0	0.00%	6	0	100.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	18	9	22	10	18	8
3	Blue Jackets	3	1	1	0	0	1	0	0	9	10	-1	1	0	1	0	0	0	0	0	1	5	-4	2	1	0	0	0	1	0	0	8	5	3	3	0.500	9	15	24	0	0	3	2	4	0	89	25	29	34	1	84	22	28	57	14	3	21.43%	14	4	71.43%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	60	32	65	29	56	27
4	Blues	2	0	2	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	3	5	8	0	0	1	2	0	0	60	20	19	21	0	75	29	16	37	6	1	16.67%	8	2	75.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	38	21	47	17	33	16
5	Bruins	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	7	12	0	0	1	2	2	0	34	13	11	10	0	28	16	8	25	3	1	33.33%	4	1	75.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	23	14	19	8	17	8
6	Canadiens	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	2	0	2	0	29	17	6	6	0	34	11	6	28	3	0	0.00%	3	1	66.67%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	21	11	21	9	16	8
7	Canucks	1	0	0	0	0	1	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0	0	4	5	-1	1	0.500	4	6	10	0	0	0	3	1	0	37	14	13	10	0	26	10	16	20	3	2	66.67%	8	2	75.00%	1	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	21	12	21	9	17	7
8	Capitals	2	0	1	0	0	1	0	0	8	11	-3	1	0	1	0	0	0	0	0	4	6	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0.250	8	15	23	0	0	3	2	3	0	64	21	23	20	0	67	22	24	42	4	1	25.00%	12	3	75.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	38	20	47	19	34	16
9	Devils	2	0	2	0	0	0	0	0	3	12	-9	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	2	7	-5	0	0.000	3	6	9	0	0	0	2	1	0	53	24	16	13	0	58	19	32	37	4	0	0.00%	16	3	81.25%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	40	21	45	19	34	16
10	Flyers	7	3	3	0	1	0	0	0	20	18	2	3	1	1	0	1	0	0	0	8	6	2	4	2	2	0	0	0	0	0	12	12	0	8	0.571	20	34	54	1	0	5	10	4	1	212	68	73	70	1	201	64	40	165	18	3	16.67%	21	1	95.24%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	141	76	150	64	127	64
11	Golden Knights	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	1	1	1	0	24	8	6	10	0	30	8	6	21	3	0	0.00%	3	0	100.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	19	10	22	9	18	9
12	Islanders	3	1	1	0	0	0	0	1	11	11	0	2	1	1	0	0	0	0	0	8	7	1	1	0	0	0	0	0	0	1	3	4	-1	3	0.500	11	16	27	0	0	4	4	3	3	116	42	32	42	8	95	34	20	57	10	3	30.00%	10	2	80.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	64	37	66	28	54	27
13	Jets	2	1	1	0	0	0	0	0	5	6	-1	2	1	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	2	0.500	5	8	13	0	0	0	2	3	0	59	15	22	22	0	57	23	14	46	8	2	25.00%	7	1	85.71%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	42	25	43	17	34	17
14	Kings	10	7	3	0	0	0	0	0	43	25	18	5	3	2	0	0	0	0	0	15	10	5	5	4	1	0	0	0	0	0	28	15	13	14	0.700	43	74	117	0	0	11	20	12	0	315	106	97	112	0	304	108	94	174	52	13	25.00%	47	4	91.49%	2	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	212	118	211	92	176	86
15	Lightning	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	0	2	0	3	0	37	13	13	11	0	22	4	8	21	3	1	33.33%	4	0	100.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	23	14	18	8	17	8
16	Maple Leafs	3	0	3	0	0	0	0	0	9	17	-8	1	0	1	0	0	0	0	0	3	9	-6	2	0	2	0	0	0	0	0	6	8	-2	0	0.000	9	15	24	0	0	2	5	2	0	93	38	30	25	0	94	40	34	65	14	2	14.29%	17	5	70.59%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	62	35	62	30	54	25
17	Oilers	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	2	3	0	0	0	1	0	0	38	12	10	16	0	40	7	4	18	2	0	0.00%	2	0	100.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	23	14	20	7	16	8
18	Panthers	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	6	11	17	0	0	1	2	3	0	82	21	32	29	0	57	31	14	50	9	2	22.22%	7	1	85.71%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	45	27	41	16	33	17
19	Penguins	2	0	2	0	0	0	0	0	6	11	-5	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	4	7	-3	0	0.000	6	10	16	0	0	1	3	2	0	65	15	33	17	0	62	15	20	36	10	3	30.00%	10	1	90.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	39	21	45	19	35	16
20	Predators	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	1	2	0	33	12	5	16	0	34	15	2	23	5	2	40.00%	1	1	0.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	20	11	22	8	17	8
21	Rangers	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	3	1	4	1.000	7	12	19	0	0	3	2	2	0	60	17	18	25	0	59	21	12	43	9	2	22.22%	6	0	100.00%	1	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	42	24	42	19	35	18
22	Red Wings	1	1	0	0	0	0	0	0	7	1	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	1	6	2	1.000	7	11	18	0	0	2	5	0	0	34	10	14	10	0	31	18	8	18	5	2	40.00%	4	0	100.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	19	11	23	8	17	8
23	Senateurs	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	11	17	0	0	3	2	1	0	67	18	29	20	0	80	24	18	39	4	1	25.00%	9	1	88.89%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	37	20	46	17	35	16
24	Sharks	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	2	5	-3	2	0.500	6	12	18	0	0	3	1	2	0	63	30	20	13	0	60	19	14	60	8	1	12.50%	8	0	100.00%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	45	26	40	18	34	17
25	Stars	2	1	0	0	1	0	0	0	9	6	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	1	0	0	0	5	4	1	4	1.000	9	14	23	0	0	1	3	4	1	70	19	24	26	1	51	10	14	38	6	1	16.67%	7	1	85.71%	0	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	42	24	42	19	37	18
	Total	56	24	26	0	2	3	0	1	190	190	0	29	13	15	0	1	0	0	0	91	92	-1	27	11	11	0	1	3	0	1	99	98	1	56	0.500	190	323	513	1	0	53	77	58	5	1787	594	594	596	11	1710	591	480	1156	209	46	22.01%	242	37	84.71%	4	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	1166	653	1213	522	991	486
	_Since Last GM Reset	56	24	26	0	2	3	0	1	190	190	0	29	13	15	0	1	0	0	0	91	92	-1	27	11	11	0	1	3	0	1	99	98	1	56	0.500	190	323	513	1	0	53	77	58	5	1787	594	594	596	11	1710	591	480	1156	209	46	22.01%	242	37	84.71%	4	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	1166	653	1213	522	991	486
	_Vs Conference	34	17	15	0	1	1	0	0	116	101	15	17	8	8	0	1	0	0	0	48	50	-2	17	9	7	0	0	1	0	0	68	51	17	37	0.544	116	200	316	1	0	33	50	32	1	1056	359	342	353	2	1052	363	274	709	136	29	21.32%	139	18	87.05%	2	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	706	393	732	315	604	295
	_Vs Division	20	10	9	0	1	0	0	0	72	60	12	9	4	4	0	1	0	0	0	26	25	1	11	6	5	0	0	0	0	0	46	35	11	22	0.550	72	123	195	1	0	18	35	18	1	620	212	200	207	1	599	212	168	404	84	18	21.43%	85	10	88.24%	2	639	1283	49.81%	626	1253	49.96%	412	841	48.99%	416	230	424	187	358	175

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
56	56	W1	190	323	513	1787	1710	591	480	1156	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
56	24	26	2	3	0	1	190	190

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	13	15	1	0	0	0	91	92

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	11	11	1	3	0	1	99	98

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
209	46	22.01%	242	37	84.71%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
594	594	596	11	53	77	58	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
639	1283	49.81%	626	1253	49.96%	412	841	48.99%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1166	653	1213	522	991	486

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
2 - 2022-10-28	11	Flames	1	Flyers	5	AL				BoxScore
4 - 2022-10-30	21	Kings	1	Flames	6	BW			R1	BoxScore
5 - 2022-10-31	26	Flames	8	Kings	3	AW				BoxScore
9 - 2022-11-04	42	Kings	1	Flames	3	BW			R1	BoxScore
10 - 2022-11-05	52	Flames	3	Kings	5	AL				BoxScore
13 - 2022-11-08	66	Kings	3	Flames	4	BW			R1	BoxScore
15 - 2022-11-10	78	Flames	6	Kings	1	AW				BoxScore
16 - 2022-11-11	79	Flames	3	Flyers	5	AL				BoxScore
17 - 2022-11-12	84	Flames	4	Maple Leafs	5	AL				BoxScore
20 - 2022-11-15	104	Maple Leafs	9	Flames	3	BL				BoxScore
23 - 2022-11-18	122	Flames	6	Blue Jackets	2	AW				BoxScore
25 - 2022-11-20	128	Flames	5	Kings	3	AW			R1	BoxScore
26 - 2022-11-21	132	Flyers	3	Flames	2	BL				BoxScore
29 - 2022-11-24	154	Kings	3	Flames	1	BL			R1	BoxScore
31 - 2022-11-26	160	Flames	4	Flyers	1	AW				BoxScore
34 - 2022-11-29	179	Islanders	3	Flames	5	BW				BoxScore
38 - 2022-12-03	204	Jets	1	Flames	4	BW				BoxScore
41 - 2022-12-06	217	Flames	2	Blackhawks	4	AL				BoxScore
44 - 2022-12-09	228	Canadiens	5	Flames	4	BL				BoxScore
46 - 2022-12-11	235	Flames	2	Panthers	4	AL				BoxScore
49 - 2022-12-14	254	Rangers	1	Flames	3	BW				BoxScore
53 - 2022-12-18	276	Islanders	4	Flames	3	BL				BoxScore
57 - 2022-12-22	295	Flames	2	Devils	7	AL				BoxScore
59 - 2022-12-24	304	Panthers	5	Flames	4	BL				BoxScore
62 - 2022-12-27	321	Flames	3	Golden Knights	1	AW				BoxScore
63 - 2022-12-28	330	Penguins	4	Flames	2	BL				BoxScore
67 - 2023-01-01	351	Flames	2	Blue Jackets	3	AL	X			BoxScore
68 - 2023-01-02	356	Stars	2	Flames	4	BW				BoxScore
72 - 2023-01-06	378	Blues	4	Flames	3	BL				BoxScore
74 - 2023-01-08	388	Flames	0	Blues	7	AL				BoxScore
76 - 2023-01-10	399	Flyers	2	Flames	3	BW	X			BoxScore
78 - 2023-01-12	409	Flames	3	Senateurs	1	AW				BoxScore
81 - 2023-01-15	427	Flyers	1	Flames	3	BW				BoxScore
84 - 2023-01-18	441	Flames	4	Penguins	7	AL				BoxScore
86 - 2023-01-20	449	Flames	2	Sharks	5	AL				BoxScore
88 - 2023-01-22	458	Avalanche	5	Flames	4	BL				BoxScore
90 - 2023-01-24	467	Flames	7	Red Wings	1	AW				BoxScore
92 - 2023-01-26	483	Flames	4	Rangers	3	AW				BoxScore
93 - 2023-01-27	488	Lightning	1	Flames	5	BW				BoxScore
97 - 2023-01-31	507	Jets	5	Flames	1	BL				BoxScore
102 - 2023-02-05	532	Bruins	2	Flames	5	BW				BoxScore
104 - 2023-02-07	549	Flames	2	Maple Leafs	3	AL				BoxScore
106 - 2023-02-09	558	Blue Jackets	5	Flames	1	BL				BoxScore
111 - 2023-02-14	581	Capitals	6	Flames	4	BL				BoxScore
114 - 2023-02-17	601	Kings	2	Flames	1	BL			R1	BoxScore
116 - 2023-02-19	610	Flames	6	Kings	3	AW				BoxScore
119 - 2023-02-22	627	Oilers	2	Flames	1	BL				BoxScore
122 - 2023-02-25	638	Flames	4	Capitals	5	AL	X			BoxScore
125 - 2023-02-28	655	Senateurs	2	Flames	3	BW				BoxScore
127 - 2023-03-02	668	Flames	5	Stars	4	AW	X			BoxScore
129 - 2023-03-04	679	Sharks	2	Flames	4	BW				BoxScore
131 - 2023-03-06	690	Flames	4	Flyers	1	AW				BoxScore
133 - 2023-03-08	705	Devils	5	Flames	1	BL				BoxScore
135 - 2023-03-10	718	Flames	3	Islanders	4	AL	X	X		BoxScore
137 - 2023-03-12	728	Flames	4	Canucks	5	AL	X			BoxScore
139 - 2023-03-14	737	Predators	3	Flames	4	BW				BoxScore
141 - 2023-03-16	753	Flames	-	Maple Leafs	-
143 - 2023-03-18	761	Maple Leafs	-	Flames	-
148 - 2023-03-23	784	Red Wings	-	Flames	-
150 - 2023-03-25	794	Flames	-	Sharks	-
152 - 2023-03-27	808	Flames	-	Lightning	-
153 - 2023-03-28	815	Red Wings	-	Flames	-
157 - 2023-04-01	833	Flames	-	Oilers	-
159 - 2023-04-03	839	Canucks	-	Flames	-
Trade Deadline --- Trades can’t be done after this day is simulated!
164 - 2023-04-08	863	Kings	-	Flames	-
165 - 2023-04-09	875	Flames	-	Predators	-
168 - 2023-04-12	888	Oilers	-	Flames	-
170 - 2023-04-14	897	Flames	-	Avalanche	-
173 - 2023-04-17	913	Senateurs	-	Flames	-
175 - 2023-04-19	923	Flames	-	Kings	-
177 - 2023-04-21	933	Flames	-	Jets	-
179 - 2023-04-23	943	Blackhawks	-	Flames	-
181 - 2023-04-25	952	Flames	-	Predators	-
183 - 2023-04-27	967	Blackhawks	-	Flames	-
186 - 2023-04-30	978	Flames	-	Bruins	-
189 - 2023-05-03	993	Golden Knights	-	Flames	-
191 - 2023-05-05	1005	Flames	-	Canadiens	-
192 - 2023-05-06	1009	Flames	-	Bruins	-
195 - 2023-05-09	1024	Maple Leafs	-	Flames	-
196 - 2023-05-10	1029	Flames	-	Canadiens	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	167,362	138,270	55,649	113,397	28,072
Attendance PCT	96.19%	95.36%	95.95%	97.76%	96.80%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
11	17336 - 96.31%	1,404,961$	40,743,857$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
39,100,887$	54,060,000$	36,160,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
271,658$	37,703,811$	0$	23	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
15,454,566$	60	281,709$	16,902,540$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
17,867,675$	36,761,049$	35,350,015$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
54,003,291$	45,757,758$	99,761,049$	19,003,291$

Depth Chart

Left Wing

Center

Right Wing

Brad Marchand	AGE:29	PO:26	OV:76
Tanner Pearson	AGE:25	PO:44	OV:74
Jake DeBrusk (R)	AGE:21	PO:60	OV:73
Matthew Nieto	AGE:25	PO:38	OV:72
David Ullstrom	AGE:28	PO:29	OV:72
Peter Cehlarik (R)	AGE:22	PO:52	OV:68
Eric Karlsson (R)	AGE:23	PO:41	OV:65
Jesper Bratt (R)	AGE:19	PO:71	OV:64
Ivan Chekhovich (R)	AGE:18	PO:71	OV:57
Radim Zohorna (R)	AGE:21	PO:55	OV:57

Eric Staal	AGE:33	PO:18	OV:78
Patrik Berglund	AGE:29	PO:26	OV:76
Colin Wilson	AGE:28	PO:32	OV:74
Anders Lee	AGE:27	PO:29	OV:73
Victor Rask (R)	AGE:24	PO:44	OV:71
Philip Varone	AGE:27	PO:29	OV:71
Vladimir Sobotka	AGE:30	PO:21	OV:70
Ryan Spooner	AGE:25	PO:36	OV:68
Nico Sturm (R)	AGE:22	PO:49	OV:67
Chris Brown	AGE:26	PO:29	OV:66
Ryan Donato (R)	AGE:21	PO:53	OV:64
Vladislav Kamenev (R)	AGE:21	PO:54	OV:61
Skyler Brind'Amour (R)	AGE:18	PO:69	OV:52

Bryan Rust	AGE:25	PO:39	OV:75
Jimmy Hayes	AGE:28	PO:28	OV:75
Kyle Palmieri	AGE:26	PO:34	OV:74
Kevin Labanc (R)	AGE:21	PO:54	OV:73
Evgeny Svechnikov (R)	AGE:21	PO:58	OV:71
Barclay Goodrow (R)	AGE:24	PO:38	OV:67
Taylor Raddysh (R)	AGE:19	PO:64	OV:61
Tage Thompson (R)	AGE:20	PO:65	OV:59

Defense #1

Defense #2

Goalie

Erik Johnson	AGE:29	PO:30	OV:78
Sami Vatanen	AGE:26	PO:37	OV:77
Esa Lindell	AGE:23	PO:45	OV:76
Christian Folin	AGE:26	PO:32	OV:75
Colby Robak	AGE:27	PO:31	OV:74
David Savard	AGE:27	PO:30	OV:74
Brendan Mikkelson	AGE:30	PO:20	OV:74
Rasmus Andersson (R)	AGE:21	PO:60	OV:71
Mathieu Brodeur	AGE:27	PO:25	OV:71

Frank Corrado (R)	AGE:24	PO:39	OV:68
Trevor Carrick (R)	AGE:23	PO:35	OV:66
Petteri Lindbohm (R)	AGE:24	PO:37	OV:65
John Gilmour (R)	AGE:24	PO:34	OV:65
Dominik Masin (R)	AGE:21	PO:53	OV:63
Christian Jaros (R)	AGE:21	PO:47	OV:62
Brandon Hickey (R)	AGE:21	PO:42	OV:62
Erik Brannstrom (R)	AGE:18	PO:85	OV:60
Darren Raddysh (R)	AGE:21	PO:55	OV:60

Henrik Lundqvist	AGE:35	PO:13	OV:80
Christopher Gibson	AGE:25	PO:36	OV:77
Michael Hutchinson	AGE:27	PO:26	OV:74
Nathan Lieuwen	AGE:26	PO:28	OV:64
Vitek Vanecek	AGE:21	PO:51	OV:62
Collin Delia (R)	AGE:23	PO:61	OV:58

Prospects

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

Prospect	Team Name	Draft Year	Overall Pick	Information	Lien

Draft Picks

Year	R1	R2	R3	R4	R5
3
4
5
6
7

Flames Trade History

[2022-12-17 7:14:50 PM] - New Record for Team's Most Shots Blocked (22) in 1 Game for Flames!
[2022-11-03 7:29:55 PM] - New Record for Team's Most Points (21) in 1 Game for Flames!
[2022-10-12 7:01:34 PM] - Heat hired Craig MacTavish for $800,000 for 3 year(s).

[2023-03-24 7:07:07 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-03-24 7:04:15 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-03-21 8:47:52 PM] Farm Game #687 - Victor Rask from Heat has scored a Hat Trick!
[2023-03-17 7:04:05 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-03-16 8:32:12 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-03-03 10:12:33 AM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-02-26 9:52:10 AM] Pro Game #581 - Brad Marchand from Flames has scored a Hat Trick!
[2023-02-23 8:20:28 PM] Victor Rask from Heat is back from Separated Left Shoulder Injury.
[2023-02-23 8:17:55 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-02-19 9:24:01 PM] Last 7 Days Farm Star : 1 - Curtis Lazar of Icehogs (5-2-7) / 2 - Matthew Nieto of Heat (4-2-6) / 3 - Ondrej Kase of Devils (4-1-5)
[2023-02-19 9:23:40 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-02-17 11:11:47 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-02-15 7:31:01 PM] Pro Game #532 - Patrik Berglund from Flames has scored a Hat Trick!
[2023-02-15 7:30:45 PM] Successfully loaded Flames lines done with Web Base Client and SQLite Database.
[2023-02-12 11:44:32 PM] Rasmus Andersson from Heat is back from Separated Left Shoulder Injury.

No Injury or Suspension.

Flames 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

Flames 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

Flames 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

Flames 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

Flames 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

	Flames
	GP: 56 \| W: 26 \| L: 26 \| OTL: 4 \| P: 56 GF: 190 \| GA: 190 \| PP%: 22.01% \| PK%: 84.71% GM : Steve Landry \| Morale : 33 \| Team Overall : 74 Next Games #753 vs Maple Leafs