Flames
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Game Center
	Griffins 41-31-8, 90pts	4	FINAL	3	Heat 40-32-8, 88pts

Team Stats
W3	Streak	W1
20-16-4	Home Record	16-18-6
21-15-4	Away Record	24-14-2
5-4-1	Last 10 Games	7-3-0
4.15	Goals Per Game	4.21
3.75	Goals Against Per Game	4.39
21.73%	Power Play Percentage	23.62%
80.84%	Penalty Kill Percentage	77.43%

Heat
40-32-8, 88pts

FINAL

Senators
39-31-10, 88pts

Team Stats
W1	Streak	W1
16-18-6	Home Record	17-16-7
24-14-2	Away Record	22-15-3
7-3-0	Last 10 Games	5-5-0
4.21	Goals Per Game	4.06
4.39	Goals Against Per Game	4.13
23.62%	Power Play Percentage	22.68%
77.43%	Penalty Kill Percentage	79.65%

Team Leaders
	Goals Kevin Labanc 51	Assists Kevin Labanc 73

	Points Kevin Labanc 124	Plus/Minus Philip Varone 11

	Wins Michael Hutchinson 36	Save Percentage Michael Hutchinson 0.88

Team Stats
Goals For 337 4.21 GFG	Shots For 2646 33.08 Avg	Power Play Percentage 23.6% 73 GF	Offensive Zone Start 35.8%
Goals Against 351 4.39 GAA	Shots Against 2611 32.64 Avg	Penalty Kill Percentage 77.4% 79 GA	Defensive Zone Start 36.3%

Team Info
	General Manager	Steve Landry
	Coach	Dan Bylsma
	Division	Fritz-Kraatz
	Conference	Robert-Lebel
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,787
	Season Tickets	300
Roster Info
	Pro Team	32
	Farm Team	21
	Contract Limit	53 / 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	Matthew Nieto (R)		X			100.00	71	27	78	72	75	79	77	72	75	80	72	63	69	62	58	42	59	71	0	24	1	900,000$
2	Jake DeBrusk (R)		X			100.00	75	52	80	73	76	75	73	70	67	73	76	65	69	48	44	66	61	70	0	20	1	500,000$
3	Kevin Labanc (R)			X		100.00	59	27	78	86	72	70	72	79	70	71	70	65	82	52	46	59	59	70	0	20	4	950,000$
4	Evgeny Svechnikov (R)			X		100.00	67	32	84	64	87	74	75	69	76	68	87	48	68	47	45	64	59	69	0	20	1	500,000$
5	Philip Varone (R)	X				100.00	69	24	67	70	74	73	76	74	77	74	71	59	65	68	63	32	49	69	0	26	2	900,000$
6	Victor Rask (R)	X				100.00	69	33	77	71	77	71	73	71	75	69	77	61	74	54	47	48	62	69	0	23	1	950,000$
7	Nico Sturm (R)	X				100.00	61	29	86	68	73	77	74	61	69	72	53	70	65	44	47	54	49	66	0	21	2	500,000$
8	Barclay Goodrow (R)			X		100.00	74	29	71	71	66	67	66	65	62	66	68	67	61	45	47	42	47	65	0	23	2	800,000$
9	Peter Cehlarik (R)		X			100.00	64	45	78	68	64	69	68	69	73	71	67	56	67	44	44	57	59	65	0	21	1	750,000$
10	Chris Brown (R)	X				100.00	61	41	79	71	69	68	72	63	59	55	80	51	68	49	49	33	21	64	0	25	1	700,000$
11	Jesper Bratt (R)		X			100.00	56	47	66	65	59	68	64	65	67	64	62	50	67	40	40	79	59	60	0	18	2	500,000$
12	Mathieu Brodeur (R)				X	100.00	70	28	83	66	70	75	75	70	45	68	58	75	56	62	51	28	46	69	0	26	1	850,000$
13	Greg Pateryn (R)				X	100.00	72	37	63	71	72	77	65	65	56	71	64	73	58	61	51	30	39	68	0	26	1	800,000$
14	Rasmus Andersson (R)				X	100.00	65	36	79	78	56	61	67	78	36	76	61	68	49	44	45	67	38	67	0	20	1	500,000$
15	Frank Corrado (R)				X	100.00	67	40	73	68	72	73	72	70	54	67	55	68	56	47	47	43	45	66	0	23	1	650,000$
16	John Gilmour (R)				X	100.00	70	32	75	62	59	73	64	72	47	70	56	62	54	45	46	37	41	64	0	23	1	600,000$
17	Dominik Masin (R)				X	100.00	61	31	82	61	64	58	65	46	23	54	35	72	43	42	42	59	28	60	0	20	1	500,000$
18	Brandon Hickey (R)				X	100.00	59	26	79	56	58	58	59	48	32	63	40	72	47	42	42	48	23	59	0	20	3	600,000$
Scratches
1	Ryan Spooner (R)	X				100.00	62	31	74	71	72	71	71	67	74	77	68	58	64	50	47	40	40	67	0	24	2	800,000$
2	Eric Karlsson (R)		X			86.16	79	33	69	63	76	64	69	62	59	62	69	56	53	44	44	45	19	62	0	22	1	550,000$
3	Ryan Donato (R)	X				100.00	70	34	71	60	75	63	67	62	69	63	72	44	63	42	42	61	20	62	0	20	2	600,000$
4	Vladislav Kamenev (R)	X				100.00	67	27	70	46	69	63	65	64	56	54	71	54	70	42	42	62	20	59	0	20	2	600,000$
5	Tage Thompson (R)			X		100.00	54	29	82	65	61	74	61	47	61	67	48	57	56	43	42	73	19	57	0	19	2	500,000$
6	Radim Zohorna (R)		X			100.00	54	36	72	54	65	69	57	56	51	53	66	40	52	45	43	62	20	56	0	20	2	500,000$
7	Alexander True (R)	X				100.00	59	39	60	54	61	50	64	56	53	53	50	43	53	41	41	54	20	52	0	19	1	500,000$
8	Trevor Carrick (R)				X	100.00	58	38	72	77	61	66	73	72	36	72	52	65	37	44	44	38	25	64	0	22	2	575,000$
9	Petteri Lindbohm (R)				X	100.00	56	39	74	59	62	64	67	70	42	65	69	64	53	45	49	40	19	63	0	23	2	575,000$
10	Christian Jaros (R)				X	100.00	62	28	72	59	57	57	54	57	29	64	42	68	48	42	43	54	20	59	0	20	1	500,000$

	TEAM AVERAGE					99.51	65	34	75	66	68	68	68	65	57	67	63	61	60	48	46	51	38	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	69	77	71	72	75	74	72	77	76	70	70	59	58	29	61	73	0	26	2	975,000$
2	Nathan Lieuwen	100.00	65	65	65	60	60	68	61	66	69	60	63	60	58	31	27	64	0	25	2	700,000$
Scratches
1	Vitek Vanecek	100.00	60	66	67	53	55	69	75	48	53	72	59	42	42	56	28	60	0	20	3	600,000$
2	Collin Delia (R)	100.00	70	49	61	68	66	52	47	54	59	51	64	40	40	70	19	56	0	22	2	500,000$

	TEAM AVERAGE	100.00	66	64	66	63	64	66	64	61	64	63	64	50	50	47	34	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Bylsma	77	70	68	70	49	50	64	USA	42	1	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	HT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Kevin Labanc	Heat (Cal)	RW	80	51	73	124	-7	44	0	125	131	371	111	241	13.75%	42	1673	20.92	13	31	44	53	262	1	1	2	5	115	4	1	46.56%	131	111	26	2	1.48	3	7	0	0	11	6	4
2	Matthew Nieto	Heat (Cal)	LW	80	49	60	109	-1	34	0	138	90	284	71	142	17.25%	42	1617	20.22	14	19	33	42	253	1	1	2	6	93	7	2	57.28%	213	64	26	2	1.35	1	7	0	0	5	8	3
3	Victor Rask	Heat (Cal)	C	78	32	57	89	-3	61	5	118	136	185	50	120	17.30%	25	1367	17.53	13	22	35	32	255	0	0	0	1	15	5	1	51.97%	1649	36	23	1	1.30	0	1	1	0	3	6	4
4	Jake DeBrusk	Heat (Cal)	LW	80	36	34	70	-1	46	10	142	116	240	81	145	15.00%	39	1506	18.83	10	8	18	27	211	1	2	3	7	245	6	0	45.35%	86	47	38	1	0.93	2	7	0	2	4	5	1
5	Philip Varone	Heat (Cal)	C	66	24	42	66	11	88	0	124	150	177	61	108	13.56%	32	1341	20.33	4	9	13	14	165	2	2	4	7	163	1	3	55.12%	1718	32	27	0	0.98	0	0	0	0	4	1	4
6	Rasmus Andersson	Heat (Cal)	D	71	6	45	51	1	31	5	94	142	156	61	54	3.85%	111	1821	25.65	1	11	12	19	209	0	2	2	7	249	1	0	0.00%	0	54	52	0	0.56	0	0	1	0	1	1	1
7	Ryan Spooner	Heat (Cal)	C	76	18	31	49	-16	26	0	100	86	130	58	93	13.85%	21	979	12.89	0	5	5	0	49	0	0	0	3	55	3	0	53.12%	529	30	20	0	1.00	0	0	0	0	2	1	3
8	Evgeny Svechnikov	Heat (Cal)	RW	80	22	25	47	6	8	0	103	67	145	54	87	15.17%	22	1281	16.02	7	2	9	19	199	0	0	0	2	78	1	2	48.33%	60	36	15	0	0.73	0	1	0	0	2	1	3
9	Peter Cehlarik	Heat (Cal)	LW	80	13	31	44	-4	10	0	78	64	161	47	99	8.07%	18	991	12.39	0	0	0	0	2	2	1	3	4	116	2	0	47.31%	93	31	11	0	0.89	0	0	0	0	1	1	1
10	Frank Corrado	Heat (Cal)	D	77	8	30	38	6	72	0	101	120	95	36	27	8.42%	87	1725	22.41	1	5	6	16	198	0	3	3	0	219	1	0	0.00%	0	15	50	0	0.44	0	0	0	0	1	1	1
11	Mathieu Brodeur	Heat (Cal)	D	72	10	27	37	-16	20	0	97	127	114	28	46	8.77%	113	1791	24.88	3	8	11	20	225	0	1	1	6	230	0	1	0.00%	0	16	59	0	0.41	1	1	0	0	1	0	2
12	Greg Pateryn	Heat (Cal)	D	64	9	23	32	-19	110	0	123	107	99	45	50	9.09%	84	1551	24.24	4	6	10	12	197	0	1	1	5	171	1	0	0.00%	0	28	54	0	0.41	0	0	0	0	0	1	1
13	Barclay Goodrow	Heat (Cal)	RW	74	18	11	29	1	30	0	94	43	97	40	58	18.56%	27	747	10.10	0	0	0	0	3	0	0	0	0	0	2	0	40.00%	20	18	12	0	0.78	0	0	0	0	0	0	2
14	Nico Sturm	Heat (Cal)	C	80	8	21	29	-5	10	0	57	89	89	33	57	8.99%	26	856	10.71	0	0	0	0	6	1	1	2	5	140	1	0	46.25%	413	9	18	0	0.68	0	0	0	0	1	1	0
15	Jesper Bratt	Heat (Cal)	LW	80	11	6	17	0	20	0	40	25	67	31	51	16.42%	12	620	7.76	0	0	0	0	0	0	0	0	1	7	3	0	33.33%	12	14	5	0	0.55	0	0	0	0	0	1	0
16	Trevor Carrick	Heat (Cal)	D	49	1	13	14	5	22	0	30	45	39	16	14	2.56%	43	689	14.07	0	0	0	0	23	0	1	1	0	52	0	0	0.00%	0	10	30	0	0.41	0	0	0	0	0	0	0
17	John Gilmour	Heat (Cal)	D	72	2	11	13	7	26	0	47	57	27	13	12	7.41%	37	891	12.39	1	0	1	1	9	0	0	0	0	22	0	0	0.00%	0	4	23	0	0.29	0	0	0	0	0	0	0
18	Tyler Shattock	Flames	RW	44	7	6	13	-6	26	0	41	21	51	18	26	13.73%	14	401	9.12	0	0	0	0	0	0	0	0	0	0	0	0	35.71%	14	10	9	0	0.65	0	0	0	0	1	0	0
19	Petteri Lindbohm	Heat (Cal)	D	49	2	7	9	-2	14	0	14	46	37	13	9	5.41%	33	686	14.02	1	0	1	1	14	0	0	0	0	66	0	0	0.00%	0	9	21	0	0.26	0	0	0	0	0	0	0
20	Chris Brown	Heat (Cal)	C	20	3	2	5	3	0	0	14	11	33	2	18	9.09%	3	174	8.75	0	0	0	0	0	0	0	0	0	11	0	0	46.74%	92	4	3	0	0.57	0	0	0	0	0	0	1
21	Dominik Masin	Heat (Cal)	D	24	2	2	4	11	8	0	16	40	23	7	13	8.70%	26	497	20.74	0	0	0	2	51	0	0	0	0	61	0	0	0.00%	0	0	7	0	0.16	0	0	0	0	0	0	0
22	Eric Karlsson	Heat (Cal)	LW	31	2	2	4	1	12	0	43	16	22	7	18	9.09%	10	276	8.92	0	0	0	0	0	1	0	1	2	37	0	1	42.86%	7	2	3	0	0.29	0	0	0	0	0	0	0
23	Brandon Hickey	Heat (Cal)	D	7	1	0	1	-5	2	0	2	3	3	1	1	33.33%	4	94	13.48	1	0	1	1	9	0	0	0	0	10	0	0	100.00%	1	0	4	0	0.21	0	0	0	0	0	0	0
24	Tage Thompson	Heat (Cal)	RW	6	0	0	0	-1	2	0	3	0	1	2	0	0.00%	0	46	7.81	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0	0	0
Team Total or Average				1440	335	559	894	-34	722	20	1744	1732	2646	886	1489	12.66%	871	23631	16.41	73	126	199	259	2350	9	16	25	61	2165	38	11	52.30%	5038	580	536	6	0.76	7	24	2	2	37	34	31

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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S2
1	Michael Hutchinson	Heat (Cal)	67	36	22	7	0.880	3.87	3834	1	247	2056	1017	6	4	0.632	19	66	3	3
2	Nathan Lieuwen	Heat (Cal)	14	3	7	1	0.832	5.51	686	0	63	374	184	0	0	0.667	3	14	14	0
3	Vitek Vanecek	Heat (Cal)	10	1	3	0	0.819	5.87	327	0	32	177	82	0	0	0.000	0	0	62	0
Team Total or Average			91	40	32	8	0.869	4.23	4849	1	342	2607	1283	6	4	0.636	22	80	79	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 Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4
Alexander True	Heat (Cal)	C	19	1997-01-01	Yes	200 Lbs	6 ft5	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Barclay Goodrow	Heat (Cal)	RW	23	1993-01-01	Yes	215 Lbs	6 ft2	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	850,000$
Brandon Hickey	Heat (Cal)	D	20	1996-01-01	Yes	201 Lbs	6 ft2	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$
Chris Brown	Heat (Cal)	C	25	1991-01-01	Yes	215 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	0$	0$	No
Christian Jaros	Heat (Cal)	D	20	1996-01-01	Yes	222 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Collin Delia	Heat (Cal)	G	22	1994-01-01	Yes	207 Lbs	6 ft2	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Dominik Masin	Heat (Cal)	D	20	1996-01-01	Yes	196 Lbs	6 ft2	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Eric Karlsson (Out of Payroll)	Heat (Cal)	LW	22	1994-01-01	Yes	161 Lbs	5 ft11	No	No	No	1	Pro & Farm	550,000$	0$	0$	Yes
Evgeny Svechnikov	Heat (Cal)	RW	20	1996-01-01	Yes	208 Lbs	6 ft3	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Frank Corrado	Heat (Cal)	D	23	1993-01-01	Yes	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	650,000$	0$	0$	No
Greg Pateryn	Heat (Cal)	D	26	1990-01-01	Yes	214 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	0$	0$	No
Jake DeBrusk	Heat (Cal)	LW	20	1996-01-01	Yes	188 Lbs	6 ft0	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Jesper Bratt	Heat (Cal)	LW	18	1998-01-01	Yes	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
John Gilmour	Heat (Cal)	D	23	1993-01-01	Yes	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	600,000$	0$	0$	No
Kevin Labanc	Heat (Cal)	RW	20	1996-01-01	Yes	185 Lbs	5 ft11	No	No	No	4	Pro & Farm	950,000$	0$	0$	No	1,200,000$	1,900,000$	2,800,000$
Mathieu Brodeur	Heat (Cal)	D	26	1990-01-01	Yes	215 Lbs	6 ft6	No	No	No	1	Pro & Farm	850,000$	0$	0$	No
Matthew Nieto	Heat (Cal)	LW	24	1992-01-01	Yes	190 Lbs	5 ft11	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Michael Hutchinson	Heat (Cal)	G	26	1990-01-01	No	202 Lbs	6 ft3	No	No	No	2	Pro & Farm	975,000$	0$	0$	No	975,000$
Nathan Lieuwen	Heat (Cal)	G	25	1991-01-01	No	189 Lbs	6 ft5	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$
Nico Sturm	Heat (Cal)	C	21	1995-01-01	Yes	207 Lbs	6 ft3	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Peter Cehlarik	Heat (Cal)	LW	21	1995-01-01	Yes	185 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	0$	0$	No
Petteri Lindbohm	Heat (Cal)	D	23	1993-01-01	Yes	209 Lbs	6 ft3	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	600,000$
Philip Varone	Heat (Cal)	C	26	1990-01-01	Yes	185 Lbs	5 ft10	No	No	No	2	Pro & Farm	900,000$	0$	0$	No	900,000$
Radim Zohorna	Heat (Cal)	LW	20	1996-01-01	Yes	229 Lbs	6 ft6	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Rasmus Andersson	Heat (Cal)	D	20	1996-01-01	Yes	214 Lbs	6 ft1	No	No	No	1	Pro & Farm	500,000$	0$	0$	No
Ryan Donato	Heat (Cal)	C	20	1996-01-01	Yes	193 Lbs	6 ft0	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$
Ryan Spooner	Heat (Cal)	C	24	1992-01-01	Yes	181 Lbs	5 ft11	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	850,000$
Tage Thompson	Heat (Cal)	RW	19	1997-01-01	Yes	218 Lbs	6 ft7	No	No	No	2	Pro & Farm	500,000$	0$	0$	No	500,000$
Trevor Carrick	Heat (Cal)	D	22	1994-01-01	Yes	171 Lbs	6 ft1	No	No	No	2	Pro & Farm	575,000$	0$	0$	No	600,000$
Victor Rask	Heat (Cal)	C	23	1993-01-01	Yes	200 Lbs	6 ft2	No	No	No	1	Pro & Farm	950,000$	0$	0$	No
Vitek Vanecek	Heat (Cal)	G	20	1996-01-01	No	190 Lbs	5 ft11	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$
Vladislav Kamenev	Heat (Cal)	C	20	1996-01-01	Yes	194 Lbs	6 ft2	No	No	No	2	Pro & Farm	600,000$	0$	0$	No	600,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
32	21.91	198 Lbs	6 ft2	1.66	653,906$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matthew Nieto	Philip Varone	Kevin Labanc	40	1	2	2
2	Jake DeBrusk	Victor Rask	Evgeny Svechnikov	30	1	2	2
3	Peter Cehlarik	Chris Brown	Barclay Goodrow	20	1	2	2
4	Jesper Bratt	Nico Sturm	Brandon Hickey	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Frank Corrado	Rasmus Andersson	40	1	2	2
2	Dominik Masin	Mathieu Brodeur	30	1	2	2
3	John Gilmour	Greg Pateryn	20	1	2	2
4	Frank Corrado	Rasmus Andersson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matthew Nieto	Victor Rask	Kevin Labanc	60	1	2	2
2	Jake DeBrusk	Philip Varone	Evgeny Svechnikov	40	1	2	2

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

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Philip Varone	Jake DeBrusk	60	1	2	2
2	Nico Sturm	Evgeny Svechnikov	40	1	2	2

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

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Matthew Nieto	60	1	2	2	Frank Corrado	Rasmus Andersson	60	1	2	2
2	Kevin Labanc	40	1	2	2	Dominik Masin	Mathieu Brodeur	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Victor Rask	Matthew Nieto	60	1	2	2
2	Philip Varone	Kevin Labanc	40	1	2	2

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

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Matthew Nieto	Philip Varone	Kevin Labanc	Frank Corrado	Rasmus Andersson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Matthew Nieto	Philip Varone	Kevin Labanc	Dominik Masin	Rasmus Andersson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Jake DeBrusk, Nico Sturm, Peter Cehlarik	Chris Brown, Nico Sturm	Peter Cehlarik

Extra Defensemen
Normal	PowerPlay	Penalty Kill
John Gilmour, Mathieu Brodeur, Dominik Masin	John Gilmour	Mathieu Brodeur, Dominik Masin

Penalty Shots
Matthew Nieto, Jake DeBrusk, Kevin Labanc, Evgeny Svechnikov, Victor Rask

Goalie
#1 : Michael Hutchinson, #2 : Nathan Lieuwen, #3 : 0

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	Admirals	3	2	1	0	0	0	0	0	16	8	8	2	2	0	0	0	0	0	0	14	4	10	1	0	1	0	0	0	0	0	2	4	-2	4	0.667	16	28	44	1	0	96	121	115	9	97	915	866	843	45	81	47	20	79	13	3	23.08%	10	1	90.00%	1	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
2	Barracuda	3	1	2	0	0	0	0	0	12	19	-7	1	0	1	0	0	0	0	0	3	10	-7	2	1	1	0	0	0	0	0	9	9	0	2	0.333	12	19	31	0	0	96	121	115	9	98	915	866	843	45	99	32	45	62	11	3	27.27%	15	4	73.33%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
3	Bears	2	0	2	0	0	0	0	0	6	14	-8	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	6	9	15	0	0	96	121	115	9	56	915	866	843	45	73	19	30	40	7	2	28.57%	15	4	73.33%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
4	Comets	2	2	0	0	0	0	0	0	12	2	10	1	1	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	7	0	7	4	1.000	12	24	36	0	1	96	121	115	9	72	915	866	843	45	43	16	16	44	5	3	60.00%	8	0	100.00%	2	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
5	Condors	3	0	1	0	1	0	0	1	15	19	-4	2	0	1	0	0	0	0	1	9	14	-5	1	0	0	0	1	0	0	0	6	5	1	3	0.500	15	26	41	0	0	96	121	115	9	107	915	866	843	45	113	44	20	63	11	3	27.27%	10	1	90.00%	1	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
6	Crunch	2	2	0	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	5	4	1	4	1.000	11	17	28	0	0	96	121	115	9	69	915	866	843	45	66	16	10	54	8	3	37.50%	5	0	100.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
7	Devils	2	0	1	0	1	0	0	0	10	10	0	1	0	1	0	0	0	0	0	4	5	-1	1	0	0	0	1	0	0	0	6	5	1	2	0.500	10	17	27	0	0	96	121	115	9	67	915	866	843	45	61	29	24	65	4	2	50.00%	12	6	50.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
8	Eagles	2	0	2	0	0	0	0	0	9	13	-4	1	0	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	9	17	26	0	0	96	121	115	9	60	915	866	843	45	60	31	20	37	4	2	50.00%	10	4	60.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
9	Griffins	3	1	2	0	0	0	0	0	11	11	0	2	1	1	0	0	0	0	0	9	6	3	1	0	1	0	0	0	0	0	2	5	-3	2	0.333	11	17	28	0	0	96	121	115	9	100	915	866	843	45	101	31	24	73	8	1	12.50%	12	2	83.33%	1	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
10	Icehogs	3	3	0	0	0	0	0	0	15	10	5	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	10	7	3	6	1.000	15	23	38	0	0	96	121	115	9	106	915	866	843	45	85	30	20	59	22	9	40.91%	10	2	80.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
11	Little Stars	2	1	1	0	0	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	4	8	-4	1	1	0	0	0	0	0	0	3	2	1	2	0.500	7	10	17	0	0	96	121	115	9	67	915	866	843	45	72	26	12	43	6	0	0.00%	6	0	100.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
12	Marlies	6	2	3	0	0	0	1	0	22	20	2	3	1	2	0	0	0	0	0	7	9	-2	3	1	1	0	0	0	1	0	15	11	4	6	0.500	22	35	57	0	0	96	121	115	9	190	915	866	843	45	207	63	68	136	28	5	17.86%	33	7	78.79%	1	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
13	Monsters	5	3	1	0	0	0	0	1	19	17	2	3	2	0	0	0	0	0	1	11	9	2	2	1	1	0	0	0	0	0	8	8	0	7	0.700	19	32	51	0	0	96	121	115	9	181	915	866	843	45	165	46	32	109	16	6	37.50%	16	3	81.25%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
14	Moose	4	1	3	0	0	0	0	0	9	16	-7	2	1	1	0	0	0	0	0	7	7	0	2	0	2	0	0	0	0	0	2	9	-7	2	0.250	9	17	26	0	0	96	121	115	9	122	915	866	843	45	125	40	32	88	15	3	20.00%	16	4	75.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
15	Penguins	2	1	0	0	0	1	0	0	11	11	0	1	0	0	0	0	1	0	0	4	5	-1	1	1	0	0	0	0	0	0	7	6	1	3	0.750	11	18	29	0	0	96	121	115	9	64	915	866	843	45	68	15	16	44	13	2	15.38%	8	1	87.50%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
16	Phantoms	6	3	3	0	0	0	0	0	26	28	-2	3	0	3	0	0	0	0	0	10	15	-5	3	3	0	0	0	0	0	0	16	13	3	6	0.500	26	39	65	1	0	96	121	115	9	191	915	866	843	45	182	64	66	107	30	5	16.67%	33	6	81.82%	2	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
17	Punishers	2	1	1	0	0	0	0	0	10	8	2	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	4	7	-3	2	0.500	10	16	26	0	0	96	121	115	9	80	915	866	843	45	65	30	16	41	7	1	14.29%	8	2	75.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
18	Rampage	2	1	1	0	0	0	0	0	10	11	-1	1	0	1	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	7	5	2	2	0.500	10	18	28	0	0	96	121	115	9	62	915	866	843	45	65	15	18	48	7	2	28.57%	9	2	77.78%	1	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
19	Reign	10	5	3	0	1	0	0	1	42	42	0	5	2	2	0	1	0	0	0	18	20	-2	5	3	1	0	0	0	0	1	24	22	2	13	0.650	42	70	112	0	0	96	121	115	9	338	915	866	843	45	310	91	110	199	39	7	17.95%	55	14	74.55%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
20	Rocket	3	1	1	0	0	1	0	0	14	15	-1	1	0	0	0	0	1	0	0	4	5	-1	2	1	1	0	0	0	0	0	10	10	0	3	0.500	14	23	37	1	0	96	121	115	9	87	915	866	843	45	106	32	34	59	12	2	16.67%	17	6	64.71%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
21	Senators	3	2	1	0	0	0	0	0	11	14	-3	1	0	1	0	0	0	0	0	3	8	-5	2	2	0	0	0	0	0	0	8	6	2	4	0.667	11	19	30	0	0	96	121	115	9	89	915	866	843	45	118	32	20	57	6	2	33.33%	10	4	60.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
22	Sound Tigers	3	0	2	0	0	0	0	1	9	17	-8	2	0	1	0	0	0	0	1	6	9	-3	1	0	1	0	0	0	0	0	3	8	-5	1	0.167	9	16	25	0	0	96	121	115	9	101	915	866	843	45	96	30	25	71	12	1	8.33%	10	2	80.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
23	Thunderbirds	2	0	1	0	0	0	0	1	6	9	-3	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	6	11	17	1	0	96	121	115	9	63	915	866	843	45	67	32	20	46	9	1	11.11%	10	3	70.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
24	Wolfpack	3	2	0	0	0	1	0	0	14	12	2	1	1	0	0	0	0	0	0	5	4	1	2	1	0	0	0	1	0	0	9	8	1	5	0.833	14	24	38	0	0	96	121	115	9	96	915	866	843	45	110	36	18	74	10	3	30.00%	9	1	88.89%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
25	Wolves	2	1	0	0	0	0	1	0	10	7	3	1	1	0	0	0	0	0	0	7	5	2	1	0	0	0	0	0	1	0	3	2	1	4	1.000	10	14	24	0	0	96	121	115	9	83	915	866	843	45	73	24	6	46	6	2	33.33%	3	0	100.00%	0	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
	Total	80	35	32	0	3	3	2	5	337	351	-14	40	15	18	0	1	2	0	4	161	176	-15	40	20	14	0	2	1	2	1	176	175	1	88	0.550	337	559	896	4	1	96	121	115	9	2646	915	866	843	45	2611	871	722	1744	309	73	23.62%	350	79	77.43%	9	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
	_Since Last GM Reset	80	35	32	0	3	3	2	5	337	351	-14	40	15	18	0	1	2	0	4	161	176	-15	40	20	14	0	2	1	2	1	176	175	1	88	0.550	337	559	896	4	1	96	121	115	9	2646	915	866	843	45	2611	871	722	1744	309	73	23.62%	350	79	77.43%	9	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
	_Vs Conference	52	24	21	0	2	1	1	3	212	219	-7	26	10	12	0	1	1	0	2	100	110	-10	26	14	9	0	1	0	1	1	112	109	3	58	0.558	212	348	560	3	0	96	121	115	9	1706	915	866	843	45	1692	552	491	1091	211	49	23.22%	237	54	77.22%	6	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713
	_Vs Division	22	10	9	0	1	0	1	1	90	90	0	11	3	7	0	1	0	0	0	35	44	-9	11	7	2	0	0	0	1	1	55	46	9	25	0.568	90	144	234	1	0	96	121	115	9	719	915	866	843	45	699	218	244	442	97	17	17.53%	121	27	77.69%	3	920	1806	50.94%	995	1831	54.34%	720	1401	51.39%	1714	957	1690	760	1448	713

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
80	88	W1	337	559	896	2646	2611	871	722	1744	4	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	35	32	3	3	2	5	337	351

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	15	18	1	2	0	4	161	176

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	20	14	2	1	2	1	176	175

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	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
309	73	23.62%	350	79	77.43%	9

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
915	866	843	45	96	121	115	9

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
920	1806	50.94%	995	1831	54.34%	720	1401	51.39%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1714	957	1690	760	1448	713

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
3 - 2021-12-02	13	Reign	3	Heat	4	BW			R1	BoxScore
6 - 2021-12-05	22	Heat	6	Reign	5	AW				BoxScore
8 - 2021-12-07	35	Heat	5	Phantoms	4	AW				BoxScore
9 - 2021-12-08	43	Heat	5	Reign	3	AW			R1	BoxScore
10 - 2021-12-09	49	Heat	6	Marlies	2	AW				BoxScore
11 - 2021-12-10	52	Reign	6	Heat	1	BL			R1	BoxScore
16 - 2021-12-15	76	Phantoms	6	Heat	5	BL				BoxScore
20 - 2021-12-19	94	Marlies	2	Heat	3	BW				BoxScore
21 - 2021-12-20	102	Heat	3	Reign	4	AL			R1	BoxScore
25 - 2021-12-24	122	Monsters	3	Heat	2	BL	X	X		BoxScore
27 - 2021-12-26	135	Heat	4	Barracuda	6	AL				BoxScore
29 - 2021-12-28	144	Reign	4	Heat	5	BW	X		R1	BoxScore
31 - 2021-12-30	155	Heat	3	Marlies	4	AL				BoxScore
34 - 2022-01-02	170	Heat	4	Icehogs	3	AW				BoxScore
36 - 2022-01-04	180	Sound Tigers	5	Heat	4	BL	X	X		BoxScore
38 - 2022-01-06	191	Heat	4	Rocket	6	AL				BoxScore
40 - 2022-01-08	205	Moose	4	Heat	2	BL				BoxScore
42 - 2022-01-10	219	Heat	2	Admirals	4	AL				BoxScore
44 - 2022-01-12	229	Heat	2	Wolfpack	3	AL	X			BoxScore
45 - 2022-01-13	234	Little Stars	8	Heat	4	BL				BoxScore
48 - 2022-01-16	255	Heat	6	Marlies	5	AW	X	X		BoxScore
49 - 2022-01-17	259	Condors	8	Heat	4	BL				BoxScore
53 - 2022-01-21	277	Heat	6	Icehogs	4	AW				BoxScore
54 - 2022-01-22	285	Wolves	5	Heat	7	BW				BoxScore
58 - 2022-01-26	304	Moose	3	Heat	5	BW				BoxScore
60 - 2022-01-28	313	Heat	5	Barracuda	3	AW				BoxScore
63 - 2022-01-31	333	Phantoms	6	Heat	3	BL				BoxScore
67 - 2022-02-04	352	Heat	2	Griffins	5	AL				BoxScore
68 - 2022-02-05	359	Sound Tigers	4	Heat	2	BL				BoxScore
71 - 2022-02-08	379	Phantoms	3	Heat	2	BL				BoxScore
75 - 2022-02-12	400	Heat	3	Wolves	2	AW	X	X		BoxScore
77 - 2022-02-14	408	Punishers	1	Heat	6	BW				BoxScore
79 - 2022-02-16	420	Heat	4	Eagles	6	AL				BoxScore
82 - 2022-02-19	432	Bears	6	Heat	3	BL				BoxScore
86 - 2022-02-23	453	Penguins	5	Heat	4	BL	X			BoxScore
88 - 2022-02-25	461	Heat	3	Sound Tigers	8	AL				BoxScore
91 - 2022-02-28	479	Heat	6	Devils	5	AW	X			BoxScore
92 - 2022-03-01	485	Thunderbirds	4	Heat	3	BL	X	X		BoxScore
95 - 2022-03-04	504	Icehogs	3	Heat	5	BW				BoxScore
97 - 2022-03-06	509	Heat	5	Reign	4	AW			R1	BoxScore
101 - 2022-03-10	530	Senators	8	Heat	3	BL				BoxScore
103 - 2022-03-12	538	Heat	3	Bears	8	AL				BoxScore
105 - 2022-03-14	550	Heat	7	Comets	0	AW				BoxScore
107 - 2022-03-16	559	Reign	3	Heat	7	BW			R1	BoxScore
111 - 2022-03-20	578	Heat	6	Rocket	4	AW				BoxScore
113 - 2022-03-22	585	Heat	5	Reign	6	AL	X	X	R1	BoxScore
115 - 2022-03-24	592	Crunch	4	Heat	6	BW				BoxScore
117 - 2022-03-26	605	Heat	5	Crunch	4	AW				BoxScore
119 - 2022-03-28	615	Barracuda	10	Heat	3	BL				BoxScore
123 - 2022-04-01	636	Rampage	6	Heat	3	BL				BoxScore
125 - 2022-04-03	646	Heat	3	Little Stars	2	AW				BoxScore
128 - 2022-04-06	666	Eagles	7	Heat	5	BL				BoxScore
131 - 2022-04-09	686	Devils	5	Heat	4	BL				BoxScore
133 - 2022-04-11	697	Heat	7	Wolfpack	5	AW				BoxScore
135 - 2022-04-13	708	Heat	5	Monsters	3	AW				BoxScore
137 - 2022-04-15	716	Wolfpack	4	Heat	5	BW				BoxScore
139 - 2022-04-17	727	Heat	7	Penguins	6	AW				BoxScore
141 - 2022-04-19	741	Condors	6	Heat	5	BL	X	X		BoxScore
144 - 2022-04-22	756	Heat	6	Condors	5	AW	X			BoxScore
146 - 2022-04-24	764	Heat	4	Punishers	7	AL				BoxScore
147 - 2022-04-25	773	Rocket	5	Heat	4	BL	X			BoxScore
150 - 2022-04-28	792	Heat	3	Thunderbirds	5	AL				BoxScore
152 - 2022-04-30	799	Comets	2	Heat	5	BW				BoxScore
156 - 2022-05-04	822	Reign	4	Heat	1	BL			R1	BoxScore
159 - 2022-05-07	842	Marlies	4	Heat	3	BL				BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
161 - 2022-05-09	852	Heat	7	Rampage	5	AW				BoxScore
162 - 2022-05-10	860	Heat	3	Monsters	5	AL				BoxScore
165 - 2022-05-13	874	Monsters	2	Heat	4	BW				BoxScore
167 - 2022-05-15	884	Heat	4	Senators	3	AW				BoxScore
169 - 2022-05-17	896	Marlies	3	Heat	1	BL				BoxScore
172 - 2022-05-20	908	Heat	1	Moose	6	AL				BoxScore
176 - 2022-05-24	928	Monsters	4	Heat	5	BW				BoxScore
177 - 2022-05-25	932	Heat	6	Phantoms	5	AW				BoxScore
181 - 2022-05-29	952	Admirals	2	Heat	6	BW				BoxScore
185 - 2022-06-02	975	Admirals	2	Heat	8	BW				BoxScore
188 - 2022-06-05	986	Heat	1	Moose	3	AL				BoxScore
191 - 2022-06-08	999	Griffins	2	Heat	6	BW				BoxScore
192 - 2022-06-09	1010	Heat	5	Phantoms	4	AW				BoxScore
196 - 2022-06-13	1022	Griffins	4	Heat	3	BL				BoxScore
197 - 2022-06-14	1023	Heat	4	Senators	3	AW				BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	74,181	37,312
Attendance PCT	92.73%	93.28%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2787 - 92.91%	82,845$	3,313,812$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,926,368$	2,092,500$	1,515,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
10,188$	2,107,700$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	14,462$	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: 80 \| W: 40 \| L: 32 \| OTL: 8 \| P: 88 GF: 337 \| GA: 351 \| PP%: 23.62% \| PK%: 77.43% GM : Steve Landry \| Morale : 39 \| Team Overall : 64