Flames
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Stars 47-13-11, 105pts	1	Box score	0	Heat 40-18-13, 93pts

Team Stats
L1	Streak	L1
23-7-5	Home Record	22-8-5
24-6-6	Home Record	18-10-8
5-2-3	Last 10 Games	7-1-2
3.13	Goals Per Game	2.69
2.24	Goals Against Per Game	2.35
28.67%	Power Play Percentage	30.68%
75.00%	Penalty Kill Percentage	79.19%

Heat
40-18-13, 93pts

Box score

Rocket
43-13-15, 101pts

Team Stats
L1	Streak	W3
22-8-5	Home Record	24-5-6
18-10-8	Home Record	19-8-9
7-1-2	Last 10 Games	6-0-4
2.69	Goals Per Game	2.37
2.35	Goals Against Per Game	1.89
30.68%	Power Play Percentage	32.17%
79.19%	Penalty Kill Percentage	73.03%

Heat
40-18-13, 93pts

Day 88

Roadrunners
32-28-10, 74pts

Team Stats
L1	Streak	W2
22-8-5	Home Record	17-13-5
18-10-8	Away Record	15-15-5
7-1-2	Last 10 Games	4-5-1
2.69	Goals Per Game	3.84
2.35	Goals Against Per Game	3.84
30.68%	Power Play Percentage	24.44%
79.19%	Penalty Kill Percentage	72.41%

Bruins
41-20-10, 92pts

Day 90

Heat
40-18-13, 93pts

Team Stats
W2	Streak	L1
19-9-6	Home Record	22-8-5
22-11-4	Away Record	18-10-8
7-1-2	Last 10 Games	7-1-2
2.25	Goals Per Game	2.69
2.03	Goals Against Per Game	2.69
29.87%	Power Play Percentage	30.68%
64.29%	Penalty Kill Percentage	79.19%

Heat
40-18-13, 93pts

Day 91

Bruins
41-20-10, 92pts

Team Stats
L1	Streak	W2
22-8-5	Home Record	19-9-6
18-10-8	Away Record	22-11-4
7-1-2	Last 10 Games	7-1-2
2.69	Goals Per Game	2.25
2.35	Goals Against Per Game	2.25
30.68%	Power Play Percentage	29.87%
79.19%	Penalty Kill Percentage	64.29%

Team Leaders
	Goals Mike Hardman 36	Assists Mike Hardman 38

	Points Mike Hardman 74	Plus/Minus Bokondji Imama 21

	Wins Erik Portillo 40	Save Percentage Felix Sandstrom 0.9

Team Stats
Goals For 191 2.69 GFG	Shots For 1461 20.58 Avg	Power Play Percentage 30.7% 54 GF	Offensive Zone Start 40.5%
Goals Against 167 2.35 GAA	Shots Against 1278 18.00 Avg	Penalty Kill Percentage 79.2%% 36 GA	Defensive Zone Start 32.1%

Team Info
	General Manager	Ray Whiddon
	Coach	Adam Gill
	Division	Division 4
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	1,521
	Season Tickets	1,500
Roster Info
	Pro Team	22
	Farm Team	18
	Contract Limit	40 / 100
	Prospects	101

Show or Hide Columns

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	Connor Brown			X		100.00	59	41	96	79	67	67	99	64	37	70	73	76	25	76	78	70	79	69	0	32	2	2,800,000$
2	Ryan Suzuki (R)	X				100.00	78	72	88	70	74	81	86	66	81	70	59	65	54	47	46	62	81	65	0	24	2	1,243,000$
3	Mike Hardman		X			97.00	80	76	88	74	76	73	76	65	50	60	67	65	59	50	49	62	82	64	0	27	1	990,000$
4	Dylan Roobroeck (R)	X				97.00	82	81	82	68	83	82	88	59	73	51	64	64	59	47	46	61	83	63	0	21	3	1,390,000$
5	Benoit-Olivier Groulx	X				100.00	74	73	76	66	73	52	49	63	80	62	61	61	59	47	46	60	78	59	0	26	2	1,340,000$
6	Bokondji Imama		X			100.00	94	99	49	79	83	43	60	58	25	52	59	60	25	49	48	56	79	59	0	29	1	914,000$
7	Dylan Peterson (R)	X				100.00	70	77	60	67	79	66	69	54	70	45	59	59	58	46	46	58	75	57	0	24	3	1,353,000$
8	Curtis Douglas	X				100.00	80	94	51	65	94	53	53	53	69	49	55	63	53	46	46	57	76	57	0	26	2	1,066,000$
9	Aku Raty			X		100.00	75	71	84	67	73	54	54	54	50	56	48	61	45	47	46	53	82	56	0	24	3	1,108,000$
10	Luca Pinelli (R)	X				100.00	60	59	65	81	60	53	52	56	71	65	43	55	42	45	45	54	76	56	0	21	3	1,284,000$
11	Nathan Aspinall (R)	X	X	X		100.00	84	77	99	82	79	34	32	43	55	37	44	61	42	47	46	49	76	53	0	20	3	1,269,000$
12	Anthony Romano (R)	X	X	X		100.00	75	67	97	63	67	45	45	47	61	46	45	59	44	46	46	52	78	52	0	25	3	1,320,000$
13	Michael Kesselring				X	100.00	77	86	68	79	84	72	99	68	25	65	56	69	25	63	62	61	79	70	0	26	2	1,144,000$
14	Kyle Burroughs				X	100.00	78	95	67	67	72	47	55	61	25	49	47	67	25	65	64	54	79	61	0	30	1	2,555,000$
15	Shai Buium (R)				X	100.00	82	79	94	67	81	54	55	50	25	47	40	64	38	47	46	51	79	59	0	23	3	1,287,000$
16	William Villeneuve				X	99.00	72	69	79	69	71	52	51	56	25	54	43	59	39	46	46	52	78	57	0	24	1	817,778$
17	Aaron Ness				X	100.00	70	66	82	63	66	64	69	46	25	36	40	56	39	46	46	49	65	55	0	35	1	1,000,000$
18	Cole Clayton				X	100.00	75	73	83	64	73	52	54	47	25	40	39	59	37	46	46	49	35	55	0	26	3	1,336,000$
Scratches
1	Oskar Back (R)	X				100.00	63	42	97	74	77	59	90	66	58	67	61	75	25	55	54	64	39	65	0	26	3	1,485,000$
2	Shakir Mukhamadullin (R)				X	100.00	71	43	92	73	79	75	68	69	25	62	52	80	25	49	49	62	64	67	0	24	1	1,294,167$

	TEAM AVERAGE					99.65	75	72	80	71	76	59	65	57	48	54	53	64	41	51	50	57	73	60

Show or Hide Columns

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	Erik Portillo (R)	100.00	48	48	60	90	47	50	57	60	54	50	30	46	46	47	89	56	0	25	1	875,000$
2	Felix Sandstrom	100.00	49	44	55	81	49	49	54	56	52	50	30	44	44	49	81	53	0	29	2	1,585,000$
Scratches

	TEAM AVERAGE	100.00	49	46	58	86	48	50	56	58	53	50	30	45	45	48	85	55

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Adam Gill	40	40	40	40	40	40	40	TUR	81	1	1,000,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Mike Hardman	Heat (CAL)	LW	71	36	38	74	-10	138	70	100	111	205	61	124	17.56%	31	1600	22.55	11	17	28	42	131	0	0	0	2	135	14	3	42.70%	89	48	33	0	0	0.92	0	0	6	3	5	10	4	4
2	Connor Brown	Heat (CAL)	RW	64	25	38	63	-4	7	5	48	76	182	44	89	13.74%	15	1236	19.32	9	11	20	30	100	0	0	0	0	0	1	3	41.14%	581	42	17	2	0	1.02	0	5	0	0	1	6	4	6
3	Ryan Suzuki	Heat (CAL)	C	71	16	35	51	16	18	10	118	104	143	50	92	11.19%	16	1410	19.87	7	5	12	21	109	0	2	2	2	52	5	0	59.53%	551	37	16	0	0	0.72	3	6	1	0	1	3	4	10
4	Oskar Back	Heat (CAL)	C	37	21	24	45	-3	2	0	51	75	100	28	53	21.00%	15	785	21.22	7	6	13	20	76	2	1	3	4	82	3	2	51.26%	796	14	8	0	1	1.15	0	5	0	0	0	5	1	4
5	Dylan Roobroeck	Heat (CAL)	C	71	24	20	44	-2	66	30	111	102	144	45	71	16.67%	13	1485	20.92	7	3	10	25	103	0	3	3	3	94	3	0	54.73%	402	27	19	1	0	0.59	0	0	3	0	3	3	8	1
6	Bokondji Imama	Heat (CAL)	LW	71	20	23	43	21	135	55	130	82	116	44	76	17.24%	13	1327	18.70	3	5	8	14	108	4	0	4	6	84	3	1	20.00%	35	29	12	0	1	0.65	0	4	3	6	2	5	1	4
7	Shakir Mukhamadullin	Heat (CAL)	D	64	6	37	43	0	12	0	52	103	97	43	39	6.19%	52	1623	25.36	3	17	20	24	146	0	1	1	2	146	1	1	0%	0	23	40	0	0	0.53	0	0	0	0	0	1	6	2
8	Michael Kesselring	Heat (CAL)	D	69	10	31	41	4	182	100	107	90	128	36	59	7.81%	64	1571	22.78	4	10	14	21	124	1	2	3	2	119	1	1	0%	0	27	29	0	0	0.52	0	0	5	6	9	3	2	3
9	Aku Raty	Heat (CAL)	RW	71	12	14	26	16	42	20	99	86	65	17	35	18.46%	12	1264	17.81	0	6	6	4	110	0	0	0	0	0	3	0	36.36%	22	12	13	0	0	0.41	0	0	1	0	3	2	3	3
10	Benoit-Olivier Groulx	Heat (CAL)	C	71	5	12	17	-5	22	0	67	82	45	16	28	11.11%	12	1007	14.19	0	2	2	0	23	0	0	0	1	47	3	0	54.34%	265	11	19	0	0	0.34	1	4	0	0	0	1	1	1
11	Kyle Burroughs	Heat (CAL)	D	71	1	13	14	9	94	40	79	89	41	20	20	2.44%	29	1435	20.22	0	1	1	3	101	0	0	0	3	82	0	0	0%	0	16	29	0	0	0.20	0	0	3	3	2	0	1	0
12	Nathan Aspinall	Heat (CAL)	C/LW/RW	71	4	5	9	-5	27	15	65	69	54	27	39	7.41%	9	1015	14.30	0	0	0	0	2	0	0	0	0	1	0	0	50.00%	20	22	20	0	0	0.18	0	0	0	1	2	0	0	1
13	William Villeneuve	Heat (CAL)	D	71	4	4	8	3	30	10	75	64	29	13	15	13.79%	26	1245	17.54	2	1	3	3	29	0	0	0	0	43	0	0	0%	0	12	13	0	0	0.13	0	1	1	0	1	0	1	0
14	Anthony Romano	Heat (CAL)	C/LW/RW	71	4	4	8	4	0	0	52	57	47	15	19	8.51%	10	1035	14.59	0	1	1	0	12	0	0	0	1	32	0	1	57.14%	14	11	15	0	0	0.15	0	0	0	0	0	1	0	0
15	Shai Buium	Heat (CAL)	D	71	1	5	6	7	39	35	62	94	42	10	21	2.38%	39	1453	20.47	1	1	2	2	105	0	0	0	2	122	1	0	0%	0	7	22	0	0	0.08	0	0	5	2	0	0	0	0
16	Aaron Ness	Heat (CAL)	D	65	0	3	3	-2	8	0	33	49	21	3	12	0%	15	1056	16.25	0	0	0	0	10	0	0	0	0	21	0	0	0%	1	6	15	0	0	0.06	0	0	0	0	0	0	0	0
17	Cole Clayton	Heat (CAL)	D	42	0	1	1	-4	0	0	10	8	0	0	0	0%	1	259	6.17	0	0	0	0	1	0	0	0	0	9	0	0	0%	0	0	0	0	0	0.08	0	0	0	0	0	0	0	0
18	Dylan Peterson	Heat (CAL)	C	71	0	0	0	-3	2	0	21	16	1	1	1	0%	1	290	4.10	0	0	0	0	0	0	0	0	0	12	0	0	58.06%	31	4	2	0	0	0	0	0	0	0	0	0	0	0
19	Curtis Douglas	Heat (CAL)	C	71	0	0	0	0	0	0	4	1	0	0	0	0%	0	51	0.72	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	6	0	0	0	0	0	0	0	0	0	0	0	0	0
20	Luca Pinelli	Heat (CAL)	C	71	0	0	0	0	0	0	1	1	1	0	0	0%	0	18	0.26	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1335	189	307	496	42	824	390	1285	1359	1461	473	793	12.94%	373	21174	15.86	54	86	140	209	1297	7	9	16	28	1090	38	12	50.87%	2813	348	322	3	2	0.47	4	25	28	21	29	40	36	39

Show or Hide Columns

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	S1	S2	S3
1	Erik Portillo	Heat (CAL)	71	40	16	12	0.874	2.20	4098	11	150	1187	766	3	1	0.545	22	70	1	3	2	1
2	Felix Sandstrom	Heat (CAL)	8	0	2	1	0.900	2.58	209	0	9	90	59	0	0	0	2	1	70	0	0	0
Team Total or Average			79	40	18	13	0.875	2.21	4308	11	159	1277	825	3	1		24	71	71	3	2	1

Show or Hide Columns

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Aaron Ness	Heat (CAL)	D	35	1990-05-18	USA	No	188 Lbs	5 ft10	No	No	Assign Manually		No	No	1	2025-12-08	False	False	Pro & Farm	1,000,000$	223,214$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Aku Raty	Heat (CAL)	RW	24	2001-07-05	FIN	No	190 Lbs	6 ft1	No	No	N/A		No	No	3	2025-10-17	False	False	Pro & Farm	1,108,000$	247,321$	0$	0$	No	1,108,000$	1,108,000$	-	-	-	-	-	-	-	1,108,000$	1,108,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Anthony Romano	Heat (CAL)	C/LW/RW	25	2000-10-07	ON	Yes	185 Lbs	5 ft11	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,320,000$	294,643$	0$	0$	No	1,320,000$	1,320,000$	-	-	-	-	-	-	-	1,320,000$	1,320,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Benoit-Olivier Groulx	Heat (CAL)	C	26	2000-02-06	FRA	No	198 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	1,340,000$	299,107$	0$	0$	No	1,340,000$	-	-	-	-	-	-	-	-	1,340,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Bokondji Imama	Heat (CAL)	LW	29	1996-08-03	CAN	No	221 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	914,000$	204,018$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cole Clayton	Heat (CAL)	D	26	2000-02-29	AB	No	198 Lbs	6 ft2	No	No	Trade	2025-01-31	No	No	3	2025-10-22	False	False	Pro & Farm	1,336,000$	298,214$	0$	0$	No	1,336,000$	1,336,000$	-	-	-	-	-	-	-	1,336,000$	1,336,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Connor Brown	Heat (CAL)	RW	32	1994-01-14	CAN	No	184 Lbs	6 ft0	No	No	Trade	2025-09-03	No	No	2	2024-09-16	False	False	Pro & Farm	2,800,000$	625,000$	0$	0$	No	2,800,000$	-	-	-	-	-	-	-	-	2,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Curtis Douglas	Heat (CAL)	C	26	2000-03-06	ONT	No	242 Lbs	6 ft9	No	No	N/A		No	No	2		False	False	Pro & Farm	1,066,000$	237,946$	0$	0$	No	1,066,000$	-	-	-	-	-	-	-	-	1,066,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Dylan Peterson	Heat (CAL)	C	24	2002-01-08	USA	Yes	203 Lbs	6 ft4	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,353,000$	302,009$	0$	0$	No	1,353,000$	1,353,000$	-	-	-	-	-	-	-	1,353,000$	1,353,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Dylan Roobroeck	Heat (CAL)	C	21	2004-07-27	CAN	Yes	205 Lbs	6 ft7	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,390,000$	310,268$	0$	0$	No	1,390,000$	1,390,000$	-	-	-	-	-	-	-	1,390,000$	1,390,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Erik Portillo	Heat (CAL)	G	25	2000-09-03	SWE	Yes	218 Lbs	6 ft6	No	No	N/A		No	No	1		False	False	Pro & Farm	875,000$	195,312$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Felix Sandstrom	Heat (CAL)	G	29	1997-01-12	SWE	No	214 Lbs	6 ft2	No	No	N/A		No	No	2		False	False	Pro & Farm	1,585,000$	353,795$	0$	0$	No	1,585,000$	-	-	-	-	-	-	-	-	1,585,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Kyle Burroughs	Heat (CAL)	D	30	1995-07-12	CAN	No	193 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	2,555,000$	570,312$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luca Pinelli	Heat (CAL)	C	21	2005-04-05	CAN	Yes	168 Lbs	5 ft9	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,284,000$	286,607$	0$	0$	No	1,284,000$	1,284,000$	-	-	-	-	-	-	-	1,284,000$	1,284,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Michael Kesselring	Heat (CAL)	D	26	2000-01-13	USA	No	215 Lbs	6 ft5	No	No	N/A		No	No	2		False	False	Pro & Farm	1,144,000$	255,357$	0$	0$	No	1,144,000$	-	-	-	-	-	-	-	-	1,144,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Mike Hardman	Heat (CAL)	LW	27	1999-02-05	USA	No	205 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	990,000$	220,982$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Nathan Aspinall	Heat (CAL)	C/LW/RW	20	2006-03-30	ON	Yes	194 Lbs	6 ft7	No	No	Draft		No	No	3	2025-10-22	False	False	Pro & Farm	1,269,000$	283,259$	0$	0$	No	1,269,000$	1,269,000$	-	-	-	-	-	-	-	1,269,000$	1,269,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Oskar Back	Heat (CAL)	C	26	2000-03-12	SWE	Yes	202 Lbs	6 ft4	No	No	N/A		No	No	3	2025-10-17	False	False	Pro & Farm	1,485,000$	331,473$	0$	0$	No	1,485,000$	1,485,000$	-	-	-	-	-	-	-	1,485,000$	1,485,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ryan Suzuki	Heat (CAL)	C	24	2001-05-28	CAN	Yes	196 Lbs	6 ft1	No	No	N/A		No	No	2		False	False	Pro & Farm	1,243,000$	277,455$	0$	0$	No	1,243,000$	-	-	-	-	-	-	-	-	1,243,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Shai Buium	Heat (CAL)	D	23	2003-03-26	USA	Yes	210 Lbs	6 ft3	No	No	Prospect		No	No	3	2025-10-22	False	False	Pro & Farm	1,287,000$	287,277$	0$	0$	No	1,287,000$	1,287,000$	-	-	-	-	-	-	-	1,287,000$	1,287,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Shakir Mukhamadullin	Heat (CAL)	D	24	2002-01-10	RUS	Yes	200 Lbs	6 ft4	No	No	N/A		No	No	1		False	False	Pro & Farm	1,294,167$	288,877$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
William Villeneuve	Heat (CAL)	D	24	2002-03-20	QUE	No	183 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	817,778$	182,540$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	25.77	201 Lbs	6 ft3	2.09	1,338,907$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Mike Hardman	Connor Brown	Dylan Roobroeck	40	1	2	2
2	Bokondji Imama	Ryan Suzuki	Aku Raty	30	1	2	2
3	Nathan Aspinall	Dylan Roobroeck	Anthony Romano	20	1	2	2
4	Mike Hardman	Benoit-Olivier Groulx	Ryan Suzuki	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	William Villeneuve	40	1	2	2
2	Kyle Burroughs	Shai Buium	30	1	2	2
3	William Villeneuve	Aaron Ness	20	1	2	2
4	Michael Kesselring	Kyle Burroughs	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Mike Hardman	Connor Brown	Dylan Roobroeck	60	1	2	2
2	Bokondji Imama	Ryan Suzuki	Aku Raty	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	William Villeneuve	60	1	2	2
2	Kyle Burroughs	Shai Buium	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dylan Roobroeck	Mike Hardman	60	1	2	2
2	Ryan Suzuki	Bokondji Imama	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	William Villeneuve	60	1	2	2
2	Kyle Burroughs	Shai Buium	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Mike Hardman	60	1	2	2	Michael Kesselring	Aaron Ness	60	1	2	2
2	Ryan Suzuki	40	1	2	2	Kyle Burroughs	Shai Buium	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Dylan Roobroeck	Mike Hardman	60	1	2	2
2	Ryan Suzuki	Bokondji Imama	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Michael Kesselring	William Villeneuve	60	1	2	2
2	Kyle Burroughs	Shai Buium	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Mike Hardman	Connor Brown	Ryan Suzuki	Michael Kesselring	Kyle Burroughs

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Mike Hardman	Connor Brown	Ryan Suzuki	Michael Kesselring	Kyle Burroughs

Extra Forwards
Normal	PowerPlay	Penalty Kill
Dylan Roobroeck, Benoit-Olivier Groulx, Bokondji Imama	Dylan Roobroeck, Benoit-Olivier Groulx	Dylan Roobroeck

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Shai Buium, William Villeneuve, Aaron Ness	Shai Buium	Shai Buium, William Villeneuve

Penalty Shots
Bokondji Imama, Benoit-Olivier Groulx, Ryan Suzuki, Mike Hardman, Dylan Roobroeck

Goalie
#1 : Erik Portillo, #2 : Felix Sandstrom

Custom OT Lines Forwards
Connor Brown, Mike Hardman, Curtis Douglas, Benoit-Olivier Groulx, Ryan Suzuki, Bokondji Imama, Dylan Roobroeck, Anthony Romano, Aku Raty, Nathan Aspinall

Custom OT Lines Defensemen
Kyle Burroughs, Shai Buium, Michael Kesselring, William Villeneuve, Aaron Ness

Show or Hide Columns

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	5	1	2	0	1	1	0	0	14	16	-2	2	0	1	0	1	0	0	0	5	7	-2	3	1	1	0	0	1	0	0	9	9	0	5	0.500	14	24	38	0	1	35	76	69	13	115	345	509	580	51	83	28	94	72	17	7	41.18%	12	5	58.33%	1	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
2	Americans	4	1	2	0	1	0	0	0	10	11	-1	1	1	0	0	0	0	0	0	3	2	1	3	0	2	0	1	0	0	0	7	9	-2	4	0.500	10	18	28	0	0	35	76	69	13	104	345	509	580	51	98	39	94	81	16	5	31.25%	12	2	83.33%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
3	Barracuda	1	0	0	0	0	1	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	5	8	0	0	35	76	69	13	17	345	509	580	51	21	3	20	16	3	1	33.33%	5	2	60.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
4	Bears	2	1	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	4	7	11	0	0	35	76	69	13	34	345	509	580	51	61	12	12	41	1	0	0.00%	6	3	50.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
5	Canucks	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	0	4	4	1.000	7	12	19	0	1	35	76	69	13	32	345	509	580	51	28	5	17	37	4	3	75.00%	1	0	100.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
6	Checkers	3	0	0	0	1	1	0	1	11	12	-1	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	1	1	0	1	11	12	-1	4	0.667	11	18	29	0	0	35	76	69	13	57	345	509	580	51	41	11	38	57	6	3	50.00%	9	3	66.67%	1	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
7	Comets	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	5	8	0	0	35	76	69	13	31	345	509	580	51	19	1	4	18	4	2	50.00%	2	1	50.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
8	Condors	3	1	1	0	0	0	0	1	6	6	0	2	1	1	0	0	0	0	0	4	3	1	1	0	0	0	0	0	0	1	2	3	-1	3	0.500	6	12	18	0	1	35	76	69	13	60	345	509	580	51	64	15	27	61	6	2	33.33%	6	2	66.67%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
9	Crunch	2	2	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	9	15	0	0	35	76	69	13	38	345	509	580	51	32	11	13	34	9	2	22.22%	4	0	100.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
10	Eagles	4	1	2	0	0	0	0	1	10	11	-1	2	0	2	0	0	0	0	0	1	4	-3	2	1	0	0	0	0	0	1	9	7	2	3	0.375	10	16	26	0	0	35	76	69	13	81	345	509	580	51	52	19	28	69	12	2	16.67%	4	1	75.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
11	Griffins	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	2	0	2	2	0.500	4	7	11	0	1	35	76	69	13	56	345	509	580	51	29	5	47	43	9	2	22.22%	7	1	85.71%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
12	Gulls	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	6	10	0	0	35	76	69	13	27	345	509	580	51	21	5	14	19	1	1	100.00%	2	0	100.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
13	IceHogs	2	0	0	0	2	0	0	0	3	1	2	1	0	0	0	1	0	0	0	1	0	1	1	0	0	0	1	0	0	0	2	1	1	4	1.000	3	3	6	0	1	35	76	69	13	28	345	509	580	51	17	4	8	23	5	1	20.00%	4	0	100.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
14	Islanders	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	3	6	0	0	35	76	69	13	31	345	509	580	51	45	8	6	21	2	0	0.00%	3	0	100.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
15	Marlies	2	0	0	0	0	0	0	2	2	4	-2	1	0	0	0	0	0	0	1	1	2	-1	1	0	0	0	0	0	0	1	1	2	-1	2	0.500	2	2	4	0	0	35	76	69	13	41	345	509	580	51	30	11	26	33	2	0	0.00%	3	0	100.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
16	Monsters	2	1	1	0	0	0	0	0	3	3	0	1	1	0	0	0	0	0	0	2	0	2	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	3	4	7	1	1	35	76	69	13	25	345	509	580	51	21	9	6	38	2	0	0.00%	3	0	100.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
17	Moose	6	3	1	0	2	0	0	0	13	8	5	3	2	0	0	1	0	0	0	7	2	5	3	1	1	0	1	0	0	0	6	6	0	10	0.833	13	19	32	0	1	35	76	69	13	107	345	509	580	51	69	19	27	127	12	3	25.00%	11	1	90.91%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
18	Penguins	6	3	1	0	1	1	0	0	13	11	2	3	3	0	0	0	0	0	0	10	5	5	3	0	1	0	1	1	0	0	3	6	-3	9	0.750	13	21	34	0	1	35	76	69	13	123	345	509	580	51	73	25	65	125	9	2	22.22%	15	2	86.67%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
19	Phantoms	2	1	1	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	1	2	2	0.500	5	8	13	0	0	35	76	69	13	44	345	509	580	51	40	12	21	38	5	1	20.00%	8	0	100.00%	3	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
20	Reign	2	1	0	0	1	0	0	0	13	10	3	1	0	0	0	1	0	0	0	5	4	1	1	1	0	0	0	0	0	0	8	6	2	4	1.000	13	21	34	0	0	35	76	69	13	59	345	509	580	51	82	20	27	35	6	1	16.67%	6	2	66.67%	1	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
21	Roadrunners	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	6	1	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	6	10	16	0	0	35	76	69	13	23	345	509	580	51	30	8	11	18	8	3	37.50%	3	0	100.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
22	Rocket	2	0	1	0	0	0	1	0	4	5	-1	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	4	4	8	0	0	35	76	69	13	39	345	509	580	51	36	11	15	39	4	2	50.00%	5	4	20.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
23	Senators	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	16	26	0	0	35	76	69	13	41	345	509	580	51	41	16	21	33	5	2	40.00%	3	0	100.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
24	Silver Knights	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	2	-2	2	0.500	4	6	10	0	0	35	76	69	13	26	345	509	580	51	32	14	73	34	5	1	20.00%	9	3	66.67%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
25	Stars	4	2	0	0	0	1	0	1	7	4	3	2	0	0	0	0	1	0	1	0	2	-2	2	2	0	0	0	0	0	0	7	2	5	6	0.750	7	12	19	0	1	35	76	69	13	70	345	509	580	51	55	17	28	69	6	2	33.33%	9	1	88.89%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
26	Thunderbirds	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	4	6	10	0	0	35	76	69	13	39	345	509	580	51	69	14	22	34	6	2	33.33%	6	1	83.33%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
27	Wild	2	1	1	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	3	6	-3	1	1	0	0	0	0	0	0	3	1	2	2	0.500	6	9	15	0	0	35	76	69	13	45	345	509	580	51	57	23	26	27	3	1	33.33%	8	2	75.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
28	Wolf Pack	2	1	0	0	0	1	0	0	8	5	3	1	1	0	0	0	0	0	0	6	2	4	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	8	14	22	0	0	35	76	69	13	46	345	509	580	51	25	7	28	30	7	3	42.86%	4	0	100.00%	0	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
29	Wolves	1	1	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	5	0	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	1	35	76	69	13	22	345	509	580	51	7	1	6	13	1	0	0.00%	3	0	100.00%	1	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
	Total	71	29	18	0	9	6	2	7	191	167	24	35	16	8	0	4	2	2	3	93	73	20	36	13	10	0	5	4	0	4	98	94	4	93	0.655	191	307	498	1	10	35	76	69	13	1461	345	509	580	51	1278	373	824	1285	176	54	30.68%	173	36	79.19%	7	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
	_Since Last GM Reset	71	29	18	0	9	6	2	7	191	167	24	35	16	8	0	4	2	2	3	93	73	20	36	13	10	0	5	4	0	4	98	94	4	93	0.655	191	307	498	1	10	35	76	69	13	1461	345	509	580	51	1278	373	824	1285	176	54	30.68%	173	36	79.19%	7	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
	_Vs Conference	46	16	13	0	7	4	1	5	119	115	4	21	8	6	0	3	1	1	2	49	44	5	25	8	7	0	4	3	0	3	70	71	-1	57	0.620	119	192	311	0	5	35	76	69	13	984	345	509	580	51	857	248	546	863	117	33	28.21%	114	22	80.70%	6	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886
	_Vs Division	17	11	8	0	6	4	0	3	44	36	8	10	6	3	0	2	1	0	1	34	18	16	7	5	5	0	4	3	0	2	10	18	-8	41	1.206	44	72	116	1	3	35	76	69	13	356	345	509	580	51	291	75	148	324	31	8	25.81%	44	6	86.36%	4	599	1117	53.63%	444	885	50.17%	388	757	51.25%	1262	488	1272	792	1778	886

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
71	93	L1	191	307	498	1461	1278	373	824	1285	1	10

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
71	29	18	9	6	2	7	191	167

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
35	16	8	4	2	2	3	93	73

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	13	10	5	4	0	4	98	94

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	1	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
176	54	30.68%	173	36	79.19%	7

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
345	509	580	51	35	76	69	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
599	1117	53.63%	444	885	50.17%	388	757	51.25%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1262	488	1272	792	1778	886

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1	7	Heat	5	Admirals	6	L			Box score
2	17	Heat	5	Checkers	4	W	X		Box score
3	31	Penguins	4	Heat	5	W			Box score
5	50	Eagles	1	Heat	0	L			Box score
6	66	Heat	2	Moose	1	W	X		Box score
8	81	Heat	2	Americans	4	L			Box score
9	90	Moose	0	Heat	2	W			Box score
10	114	Condors	3	Heat	1	L			Box score
11	129	Heat	1	Moose	3	L			Box score
12	143	Comets	4	Heat	3	L	X	X	Box score
13	150	Heat	0	Penguins	3	L			Box score
15	176	Stars	1	Heat	0	L	X		Box score
16	191	Heat	3	Checkers	4	L	X	X	Box score
17	202	Americans	2	Heat	3	W			Box score
18	220	Roadrunners	1	Heat	6	W			Box score
20	241	Heat	4	Stars	0	W			Box score
21	255	Penguins	0	Heat	2	W			Box score
23	268	Heat	1	Marlies	2	L	X	X	Box score
24	281	Heat	5	Eagles	6	L	X	X	Box score
25	292	Heat	3	Phantoms	1	W			Box score
26	307	Senators	3	Heat	5	W			Box score
28	329	Phantoms	3	Heat	2	L			Box score
29	342	Heat	1	Bears	5	L			Box score
30	352	Heat	1	Monsters	3	L			Box score
31	370	Crunch	1	Heat	3	W			Box score
32	391	Islanders	2	Heat	3	W	X	X	Box score
34	411	Condors	0	Heat	3	W			Box score
35	425	Heat	8	Reign	6	W			Box score
36	440	Heat	3	Wild	1	W			Box score
37	453	Heat	3	Stars	2	W			Box score
38	463	Thunderbirds	4	Heat	1	L			Box score
40	486	Barracuda	4	Heat	3	L	X		Box score
41	497	Heat	2	Penguins	1	W	X		Box score
42	515	Griffins	4	Heat	2	L			Box score
43	528	Heat	3	Americans	2	W	X		Box score
44	547	Heat	2	Americans	3	L			Box score
45	559	Silver Knights	3	Heat	4	W			Box score
46	574	Heat	0	Silver Knights	2	L			Box score
47	589	Canucks	2	Heat	3	W			Box score
48	606	Heat	2	Admirals	0	W			Box score
49	619	Penguins	1	Heat	3	W			Box score
50	638	Heat	1	Penguins	2	L	X		Box score
51	648	Admirals	4	Heat	1	L			Box score
52	662	Heat	3	Crunch	1	W			Box score
53	676	Heat	4	Canucks	0	W			Box score
54	688	Reign	4	Heat	5	W	X		Box score
55	709	Eagles	3	Heat	1	L			Box score
57	726	Heat	2	Admirals	3	L	X		Box score
58	738	IceHogs	0	Heat	1	W	X		Box score
59	761	Admirals	3	Heat	4	W	X		Box score
61	777	Heat	4	Eagles	1	W			Box score
62	790	Heat	3	Checkers	4	L	X		Box score
63	803	Monsters	0	Heat	2	W			Box score
65	822	Heat	2	IceHogs	1	W	X		Box score
66	832	Wolf Pack	2	Heat	6	W			Box score
67	848	Heat	3	Thunderbirds	6	L			Box score
68	860	Heat	2	Condors	3	L	X	X	Box score
69	869	Wild	6	Heat	3	L			Box score
71	893	Marlies	2	Heat	1	L	X	X	Box score
72	910	Heat	5	Senators	3	W			Box score
74	924	Wolves	0	Heat	5	W			Box score
75	937	Heat	2	Wolf Pack	3	L	X		Box score
76	954	Moose	1	Heat	3	W			Box score
78	974	Heat	2	Griffins	0	W			Box score
79	985	Moose	1	Heat	2	W	X		Box score
81	1005	Rocket	1	Heat	2	W	X	X	Box score
82	1015	Heat	4	Gulls	2	W			Box score
83	1029	Heat	3	Moose	2	W			Box score
85	1047	Bears	2	Heat	3	W			Box score
86	1070	Stars	1	Heat	0	L	X	X	Box score
87	1079	Heat	2	Rocket	4	L			Box score
88	1095	Heat	-	Roadrunners	-
90	1110	Bruins	-	Heat	-
91	1122	Heat	-	Bruins	-
92	1142	Checkers	-	Heat	-
94	1165	Gulls	-	Heat	-
96	1178	Heat	-	Barracuda	-
Trade Deadline --- Trades can’t be done after this day is simulated!
97	1195	Heat	-	Wolves	-
98	1200	Comets	-	Heat	-
100	1227	Eagles	-	Heat	-
101	1236	Heat	-	Islanders	-
103	1257	Americans	-	Heat	-
104	1270	Heat	-	Islanders	-
106	1292	Stars	-	Heat	-
107	1299	Heat	-	Comets	-
110	1326	Checkers	-	Heat	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	30
Attendance	35,727	17,500
Attendance PCT	51.04%	50.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
8	1521 - 50.69%	98,397$	3,443,911$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
3,062,423$	2,945,595$	2,945,595$	1,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
26,300$	2,285,600$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
787,180$	25	35,229$	880,725$

Heat Players Stat Leaders (Regular Season)

Show or Hide Columns

#	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 Columns

#	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 Columns

	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 Players Stat Leaders (Play-Off)

Show or Hide Columns

#	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 Columns

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

	Heat
	GP: 71 \| W: 40 \| L: 18 \| OTL: 13 \| P: 93 GF: 191 \| GA: 167 \| PP%: 30.68% \| PK%: 79.19% GM : Ray Whiddon \| Morale : 58 \| Team Overall : 59 Next Games #1095 vs Roadrunners