Ligue de hockey Simulée Ste-Flanelle

Calgary
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

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
1	Anton Slepyshev		X	X		100.00	59	35	90	63	77	62	53	53	44	48	58	66	48	43	38	0	50	57	0
2	Tyler Motte (R)	X	X	X		100.00	68	35	89	75	61	59	47	49	41	42	56	65	48	37	34	0	50	55	0
3	Andreas Johnsson (R)		X			100.00	51	35	95	77	54	53	35	41	50	38	44	56	48	35	32	0	50	49	0
4	Hudson Fasching			X		100.00	52	35	86	63	71	55	35	37	35	38	35	57	48	40	36	0	50	48	0
5	Sergey Tolchinsky		X	X		100.00	49	35	94	77	48	53	33	35	35	36	33	65	44	37	34	0	50	48	0
6	Nicolas Kerdiles (R)	X	X			100.00	52	35	95	65	69	48	35	35	50	35	35	52	48	38	35	0	50	46	0
7	Cristoval Nieves (R)	X	X			100.00	46	35	94	64	76	49	33	33	35	33	33	54	47	35	32	0	50	45	0
8	Jonathan Dahlen (R)	X	X			100.00	45	45	45	45	55	45	45	45	45	45	45	45	45	32	30	0	50	45	0
9	Riley Barber (R)			X		100.00	47	35	94	70	65	46	33	33	35	33	33	53	47	35	32	0	50	45	0
10	Ryan MacInnis (R)	X				100.00	41	45	45	45	58	39	39	41	45	41	41	45	43	32	30	0	50	43	0
11	Aapeli Rasanen (R)	X				100.00	37	37	37	37	67	37	37	37	37	37	37	37	37	32	30	0	50	40	0
12	Dalton Prout				X	100.00	56	61	54	60	78	58	37	43	35	47	39	66	48	49	45	0	50	55	0
13	Rasmus Andersson (R)				X	100.00	52	35	85	67	70	60	35	31	35	30	32	65	48	37	34	0	50	52	0
14	Andrey Pedan				X	100.00	66	50	63	64	71	41	32	29	35	28	30	64	46	35	32	0	50	50	0
15	Erik Cernak (R)				X	100.00	43	45	45	45	74	42	42	43	45	43	43	45	44	32	30	0	50	45	0
16	Ville Pokka (R)				X	100.00	41	45	45	45	67	39	39	41	45	41	41	45	43	32	30	0	50	44	0
17	Jacob Moverare (R)				X	100.00	40	40	40	40	65	40	40	40	40	40	40	40	40	32	30	0	50	42	0
18	Luc Snuggerud (R)				X	100.00	33	37	37	37	55	33	33	33	37	33	33	37	35	32	30	0	50	38	0
Scratches
1	Cristoval Nieves (R)	X				100.00	53	35	84	69	74	51	38	52	59	58	46	68	48	35	32	0	50	55	0
2	Max Friberg		X	X		100.00	46	35	83	69	68	46	31	32	35	32	32	63	46	35	32	0	50	46	0
3	Eric Cornel (R)	X		X		100.00	41	45	45	45	59	39	39	41	45	41	41	45	43	32	30	0	50	43	0
4	Theodor Blueger (R)	X	X			100.00	41	45	45	45	51	39	39	41	45	41	41	45	43	32	30	0	50	43	0
5	Matej Stransky (R)			X		100.00	33	37	37	37	67	33	33	33	37	33	33	37	35	32	30	0	50	38	0
6	Nikolay Prokhorkin (R)		X			100.00	33	37	37	37	64	33	33	33	37	33	33	37	35	32	30	0	50	37	0
7	Olli Jokinen	X				100.00	20	20	20	20	20	20	20	20	20	20	20	20	20	20	20	0	50	24	0
8	John Ramage				X	100.00	51	35	93	64	65	50	31	29	35	28	30	71	46	35	32	0	50	51	0
9	Anthony Florentino (R)				X	100.00	33	37	37	37	76	33	33	33	37	33	33	37	35	32	30	0	50	39	0
10	Ryan Pilon (R)				X	100.00	35	37	37	37	68	35	35	35	37	35	35	37	36	32	30	0	50	39	0

	TEAM AVERAGE					100.00	45	39	63	54	64	44	36	37	40	37	38	51	43	34	32	0	50	45

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Andrey Makarov	100.00	42	45	51	64	42	43	46	41	39	56	55	35	32	0	50	45	0
Scratches
1	Colton Point (R)	100.00	37	37	37	84	37	37	37	37	37	37	37	32	30	0	50	42	0
2	Ilya Sorokin (R)	100.00	41	43	41	60	40	39	39	39	39	39	38	32	30	0	50	41	0

	TEAM AVERAGE	100.00	40	42	43	69	40	40	41	39	38	44	43	33	31	0	50	43

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Tyler Motte	Heat (Cal)	C/LW/RW	79	44	49	93	15	86	10	216	202	348	108	240	12.64%	31	1674	21.20	8	15	23	59	208	1	0	1	9	260	5	0	45.36%	1909	2	0	1.11	2	10	0	0	2	9	7	10
2	Dalton Prout	Heat (Cal)	D	82	16	50	66	-19	139	35	183	102	137	49	90	11.68%	122	1677	20.46	11	20	31	83	225	0	3	3	1	213	1	1	0.00%	0	0	0	0.79	1	1	2	2	3	0	3	5
3	Nicolas Kerdiles	Heat (Cal)	C/LW	82	21	36	57	-38	57	5	117	218	215	51	192	9.77%	35	1451	17.70	4	14	18	25	138	2	0	2	2	116	1	1	54.53%	1414	0	0	0.79	0	3	0	1	0	4	2	3
4	Anton Slepyshev	Heat (Cal)	LW/RW	37	33	19	52	14	16	0	56	82	220	66	150	15.00%	21	838	22.66	7	6	13	36	115	2	1	3	8	115	3	5	43.45%	336	0	0	1.24	1	7	0	0	0	4	7	4
5	Sergey Tolchinsky	Heat (Cal)	LW/RW	82	19	33	52	-24	30	0	68	186	221	56	137	8.60%	48	1452	17.72	5	11	16	43	219	0	0	0	3	148	2	0	41.24%	194	0	1	0.72	1	4	0	0	0	3	1	4
6	Hudson Fasching	Heat (Cal)	RW	82	14	31	45	10	25	5	74	61	123	34	68	11.38%	20	1570	19.15	4	6	10	20	219	0	1	1	4	223	2	0	46.97%	132	0	0	0.57	2	8	1	0	0	0	4	1
7	Riley Barber	Heat (Cal)	RW	82	15	25	40	-40	24	0	74	121	231	66	133	6.49%	26	1234	15.05	2	4	6	14	34	0	0	0	1	13	2	0	47.06%	119	0	0	0.65	0	0	0	0	0	3	2	1
8	Julius Honka	Calgary	D	41	5	23	28	-11	22	0	19	35	68	19	43	7.35%	48	798	19.48	5	8	13	38	97	0	0	0	1	122	0	0	0.00%	0	0	0	0.70	0	0	0	0	0	0	0	1
9	Rasmus Andersson	Heat (Cal)	D	64	4	23	27	-9	26	0	63	53	87	20	60	4.60%	98	1300	20.32	3	8	11	43	195	0	0	0	3	164	1	0	50.00%	10	0	0	0.42	0	0	0	0	0	0	1	3
10	Erik Cernak	Heat (Cal)	D	82	8	18	26	10	72	20	106	45	47	16	37	17.02%	44	1128	13.77	4	0	4	10	109	0	0	0	2	136	1	0	38.89%	18	0	0	0.46	0	0	1	1	2	2	0	1
11	Brett Kulak	Calgary	D	32	13	12	25	-3	41	5	68	61	95	27	63	13.68%	61	627	19.61	8	2	10	53	100	0	1	1	0	88	1	0	0.00%	0	0	0	0.80	0	0	0	1	0	2	2	3
12	Andreas Johnsson	Heat (Cal)	LW	64	11	10	21	-2	12	0	25	59	113	33	63	9.73%	12	649	10.15	1	1	2	6	41	0	0	0	1	22	3	2	33.90%	59	0	0	0.65	0	0	0	0	0	0	1	1
13	Cristoval Nieves	Heat (Cal)	C	17	4	14	18	-2	8	0	28	48	49	16	40	8.16%	5	330	19.45	2	4	6	10	61	0	0	0	0	23	1	0	59.94%	357	0	0	1.09	0	2	0	0	0	0	1	2
14	Max Friberg	Heat (Cal)	LW/RW	17	9	9	18	-3	14	0	14	20	35	8	22	25.71%	2	306	18.06	3	4	7	8	61	0	0	0	0	2	1	0	44.00%	25	0	0	1.17	0	0	0	0	0	1	1	0
15	Andrey Pedan	Heat (Cal)	D	82	4	9	13	-25	90	20	160	60	49	19	32	8.16%	88	1303	15.90	2	3	5	15	116	0	0	0	3	125	0	1	0.00%	0	0	0	0.20	0	0	0	2	2	0	0	1
16	Ville Pokka	Heat (Cal)	D	37	3	9	12	0	20	0	66	7	17	11	7	17.65%	35	730	19.75	1	3	4	4	100	0	0	0	2	79	0	0	0.00%	0	0	0	0.33	0	0	0	0	0	0	0	0
17	Cristoval Nieves	Heat (Cal)	C/LW	37	4	7	11	-28	6	0	26	48	57	23	50	7.02%	9	517	13.99	0	0	0	0	0	0	1	1	0	7	0	0	43.33%	30	0	0	0.43	0	0	0	0	0	0	0	0
18	Jacob Moverare	Heat (Cal)	D	37	2	7	9	-22	28	0	52	8	12	3	6	16.67%	30	636	17.20	1	2	3	4	46	0	0	0	0	39	0	0	0.00%	0	0	0	0.28	0	0	0	0	0	1	0	0
19	John Ramage	Heat (Cal)	D	45	3	6	9	-18	2	0	14	40	33	10	17	9.09%	33	514	11.43	0	0	0	5	15	0	0	0	0	9	0	0	0.00%	0	0	0	0.35	0	0	0	0	0	0	0	0
20	Luc Snuggerud	Heat (Cal)	D	37	3	4	7	-23	14	0	41	8	5	0	1	60.00%	20	633	17.12	1	0	1	1	29	1	0	1	1	56	1	0	0.00%	0	0	0	0.22	0	0	0	0	0	0	0	0
21	Ryan MacInnis	Heat (Cal)	C	37	3	4	7	1	8	0	13	9	23	7	22	13.04%	5	165	4.48	0	3	3	7	37	0	0	0	3	22	0	1	41.46%	41	0	0	0.84	0	0	0	0	0	0	1	1
22	Jonathan Dahlen	Heat (Cal)	C/LW	37	1	2	3	0	16	10	20	13	12	3	5	8.33%	1	145	3.92	0	0	0	0	0	0	0	0	0	3	1	0	46.01%	163	0	0	0.41	0	0	0	1	1	0	0	0
23	Olli Jokinen	Heat (Cal)	C	31	0	2	2	-17	0	0	18	26	0	0	2	0.00%	0	339	10.96	0	0	0	0	12	0	0	0	0	5	0	0	18.40%	326	0	0	0.12	0	0	0	0	0	0	0	0
24	Aapeli Rasanen	Heat (Cal)	C	37	0	1	1	0	8	0	5	1	4	1	2	0.00%	3	88	2.39	0	0	0	0	15	0	0	0	0	10	0	0	44.44%	9	0	0	0.23	0	0	0	0	0	0	0	0
Team Total or Average				1260	239	403	642	-234	764	110	1526	1513	2201	646	1482	10.86%	797	20117	15.97	72	114	186	484	2205	6	7	13	44	2013	26	11	46.81%	5142	2	1	0.64	7	35	4	8	10	29	33	41

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	MacKenzie Blackwood	Calgary	52	17	27	6	0.881	4.04	2825	2	1	190	1594	3	0.760	25	52	0	2	1	1
2	Andrey Makarov	Heat (Cal)	39	13	15	3	0.886	3.65	1938	0	2	118	1031	2	0.692	13	30	82	3	2	0
Team Total or Average			91	30	42	9	0.883	3.88	4764	2	3	308	2625	5	0.737	38	82	82	5	3	1

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Aapeli Rasanen	Heat (Cal)	C	19	1998-06-01	Yes	196 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Andreas Johnsson	Heat (Cal)	LW	22	1994-11-21	Yes	180 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	667,000$	66,700$	0$	No	Link
Andrey Makarov	Heat (Cal)	G	24	1993-04-20	No	178 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	580,000$	58,000$	0$	No	Link
Andrey Pedan	Heat (Cal)	D	24	1993-07-03	No	213 Lbs	6 ft5	No	No	No	2	RFA	Pro & Farm	792,000$	79,200$	0$	No	Link
Anthony Florentino	Heat (Cal)	D	22	1995-01-30	Yes	227 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Anton Slepyshev	Heat (Cal)	LW/RW	23	1994-05-13	No	221 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	92,500$	0$	No	Link
Colton Point	Heat (Cal)	G	19	1998-03-07	Yes	219 Lbs	6 ft4	No	No	No	4	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Cristoval Nieves	Heat (Cal)	C	23	1994-01-23	Yes	219 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	767,500$	76,750$	0$	No	Link
Cristoval Nieves	Heat (Cal)	C/LW	23	1994-01-23	Yes	219 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	825,000$	82,500$	0$	No	Link
Dalton Prout	Heat (Cal)	D	27	1990-03-13	No	230 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	1,100,000$	110,000$	0$	No	Link
Eric Cornel	Heat (Cal)	C/RW	21	1996-04-11	Yes	186 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	825,000$	82,500$	0$	No	Link
Erik Cernak	Heat (Cal)	D	20	1997-05-28	Yes	221 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	825,000$	82,500$	0$	No	Link
Hudson Fasching	Heat (Cal)	RW	22	1995-07-28	No	204 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	925,000$	92,500$	0$	No	Link
Ilya Sorokin	Heat (Cal)	G	22	1995-08-04	Yes	167 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	700,000$	70,000$	0$	No	Link
Jacob Moverare	Heat (Cal)	D	19	1998-08-31	Yes	198 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	720,000$	72,000$	0$	No	Link
John Ramage	Heat (Cal)	D	26	1991-02-07	No	200 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	690,000$	69,000$	0$	No	Link
Jonathan Dahlen	Heat (Cal)	C/LW	19	1997-12-20	Yes	180 Lbs	5 ft11	No	No	No	4	ELC	Pro & Farm	925,000$	92,500$	0$	No	Link
Luc Snuggerud	Heat (Cal)	D	22	1995-09-18	Yes	180 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Matej Stransky	Heat (Cal)	RW	24	1993-07-11	Yes	193 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	575,000$	57,500$	0$	No	Link
Max Friberg	Heat (Cal)	LW/RW	24	1992-11-20	No	200 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	925,000$	92,500$	0$	No	Link
Nicolas Kerdiles	Heat (Cal)	C/LW	23	1994-01-11	Yes	200 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	92,500$	0$	No	Link
Nikolay Prokhorkin	Heat (Cal)	LW	24	1993-09-17	Yes	190 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Olli Jokinen (1 Way Contract)	Heat (Cal)	C	38	1978-12-05	No	210 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	1,600,000$	1,600,000$	0$	No	Link
Rasmus Andersson	Heat (Cal)	D	20	1996-10-27	Yes	214 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	743,000$	74,300$	0$	No	Link
Riley Barber	Heat (Cal)	RW	23	1994-02-07	Yes	193 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	667,000$	66,700$	0$	No	Link
Ryan MacInnis	Heat (Cal)	C	21	1996-02-14	Yes	183 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	718,000$	71,800$	0$	No	Link
Ryan Pilon	Heat (Cal)	D	20	1996-10-10	Yes	206 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Sergey Tolchinsky	Heat (Cal)	LW/RW	22	1995-02-03	No	170 Lbs	5 ft8	No	No	No	2	RFA	Pro & Farm	600,000$	60,000$	0$	No	Link
Theodor Blueger	Heat (Cal)	C/LW	23	1994-08-15	Yes	171 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	825,000$	82,500$	0$	No	Link
Tyler Motte	Heat (Cal)	C/LW/RW	22	1995-03-10	Yes	191 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Ville Pokka	Heat (Cal)	D	23	1994-03-06	Yes	205 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	925,000$	92,500$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
31	22.71	199 Lbs	6 ft1	2.26	756,274$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anton Slepyshev	Tyler Motte	Hudson Fasching	40	1	2	2
2	Sergey Tolchinsky			30	1	2	2
3	Cristoval Nieves	Nicolas Kerdiles	Riley Barber	20	1	2	2
4	Anton Slepyshev	Jonathan Dahlen	Tyler Motte	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dalton Prout	Andrey Pedan	40	1	2	2
2	Erik Cernak	Ville Pokka	30	1	2	2
3	Jacob Moverare	Luc Snuggerud	20	1	2	2
4	Dalton Prout	Andrey Pedan	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Anton Slepyshev	Tyler Motte	Hudson Fasching	60	1	2	2
2	Sergey Tolchinsky			40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dalton Prout	Andrey Pedan	60	1	2	2
2	Erik Cernak	Ville Pokka	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Anton Slepyshev	Tyler Motte	60	1	2	2
2		Hudson Fasching	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dalton Prout	Andrey Pedan	60	1	2	2
2	Erik Cernak	Ville Pokka	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Anton Slepyshev	60	1	2	2	Dalton Prout	Andrey Pedan	60	1	2	2
2	Tyler Motte	40	1	2	2	Erik Cernak	Ville Pokka	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Anton Slepyshev	Tyler Motte	60	1	2	2
2		Hudson Fasching	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dalton Prout	Andrey Pedan	60	1	2	2
2	Erik Cernak	Ville Pokka	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Anton Slepyshev	Tyler Motte	Hudson Fasching	Dalton Prout	Andrey Pedan

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Anton Slepyshev	Tyler Motte	Hudson Fasching	Dalton Prout	Andrey Pedan

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ryan MacInnis, Aapeli Rasanen, Nicolas Kerdiles	Ryan MacInnis, Aapeli Rasanen	Nicolas Kerdiles

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jacob Moverare, Luc Snuggerud, Erik Cernak	Jacob Moverare	Luc Snuggerud, Erik Cernak

Penalty Shots
Anton Slepyshev, Tyler Motte, , Hudson Fasching, Sergey Tolchinsky

Goalie
#1 : , #2 : Andrey Makarov

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	4	1	2	0	0	0	1	0	13	10	3	2	1	1	0	0	0	0	0	7	4	3	2	0	1	0	0	0	1	0	6	6	0	4	0.500	13	22	35	0	0	104	84	65	10	102	768	751	748	68	114	28	30	98	23	6	26.09%	15	1	93.33%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
2	Baby Hawks	3	0	2	0	1	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	0	2	-2	2	0	1	0	1	0	0	0	5	6	-1	2	0.333	5	10	15	0	0	104	84	65	10	63	768	751	748	68	114	36	46	69	7	0	0.00%	18	4	77.78%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
3	Bears	2	1	1	0	0	0	0	0	3	3	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	0	2	-2	2	0.500	3	5	8	0	0	104	84	65	10	49	768	751	748	68	43	17	15	30	13	1	7.69%	5	0	100.00%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
4	Bruins	2	0	1	0	0	1	0	0	6	8	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	6	11	17	0	0	104	84	65	10	61	768	751	748	68	63	21	16	41	6	2	33.33%	8	4	50.00%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
5	Cabaret Lady Mary Ann	2	1	0	0	0	1	0	0	9	8	1	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	1	0	0	5	6	-1	3	0.750	9	14	23	0	0	104	84	65	10	83	768	751	748	68	61	19	12	57	10	3	30.00%	6	2	66.67%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
6	Caroline	2	1	1	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	7	3	4	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	10	15	25	0	0	104	84	65	10	54	768	751	748	68	45	10	23	31	14	2	14.29%	9	1	88.89%	1	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
7	Chiefs	3	1	2	0	0	0	0	0	8	14	-6	1	1	0	0	0	0	0	0	6	4	2	2	0	2	0	0	0	0	0	2	10	-8	2	0.333	8	15	23	0	0	104	84	65	10	82	768	751	748	68	100	37	18	73	14	2	14.29%	8	1	87.50%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
8	Chill	3	0	3	0	0	0	0	0	6	14	-8	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	6	12	18	0	0	104	84	65	10	59	768	751	748	68	98	30	42	50	12	0	0.00%	20	4	80.00%	1	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
9	Comets	5	2	1	0	0	1	0	1	26	27	-1	2	1	0	0	0	0	0	1	11	9	2	3	1	1	0	0	1	0	0	15	18	-3	6	0.600	26	45	71	0	0	104	84	65	10	149	768	751	748	68	177	46	90	101	17	7	41.18%	32	8	75.00%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
10	Cougars	2	1	1	0	0	0	0	0	8	10	-2	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	8	13	21	0	0	104	84	65	10	55	768	751	748	68	82	19	20	46	5	2	40.00%	10	4	60.00%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
11	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	10	16	0	0	104	84	65	10	75	768	751	748	68	32	19	8	41	12	2	16.67%	4	0	100.00%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
12	Jayhawks	4	1	1	0	0	0	1	1	13	19	-6	2	1	0	0	0	0	0	1	6	6	0	2	0	1	0	0	0	1	0	7	13	-6	5	0.625	13	19	32	0	0	104	84	65	10	102	768	751	748	68	147	38	46	90	10	2	20.00%	23	8	65.22%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
13	Las Vegas	4	2	2	0	0	0	0	0	5	10	-5	2	1	1	0	0	0	0	0	3	6	-3	2	1	1	0	0	0	0	0	2	4	-2	4	0.500	5	9	14	0	1	104	84	65	10	101	768	751	748	68	108	37	26	66	13	1	7.69%	12	2	83.33%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
14	Manchots	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	5	10	15	0	0	104	84	65	10	49	768	751	748	68	38	9	12	41	9	1	11.11%	6	1	83.33%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
15	Marlies	2	0	1	0	0	0	0	1	8	12	-4	1	0	1	0	0	0	0	0	3	6	-3	1	0	0	0	0	0	0	1	5	6	-1	1	0.250	8	13	21	0	0	104	84	65	10	53	768	751	748	68	78	26	12	56	9	1	11.11%	6	2	66.67%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
16	Minnesota	3	0	3	0	0	0	0	0	9	17	-8	2	0	2	0	0	0	0	0	6	12	-6	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	9	16	25	0	0	104	84	65	10	79	768	751	748	68	107	30	49	73	10	3	30.00%	21	5	76.19%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
17	Monarchs	4	2	2	0	0	0	0	0	14	11	3	2	2	0	0	0	0	0	0	10	5	5	2	0	2	0	0	0	0	0	4	6	-2	4	0.500	14	23	37	0	0	104	84	65	10	135	768	751	748	68	137	40	30	74	14	3	21.43%	14	2	85.71%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
18	Monsters	2	0	1	0	0	0	1	0	6	7	-1	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	0	0	1	0	5	4	1	2	0.500	6	8	14	0	0	104	84	65	10	50	768	751	748	68	63	22	53	36	12	2	16.67%	12	1	91.67%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
19	Monsters	3	1	2	0	0	0	0	0	14	17	-3	2	1	1	0	0	0	0	0	11	9	2	1	0	1	0	0	0	0	0	3	8	-5	2	0.333	14	24	38	0	0	104	84	65	10	72	768	751	748	68	108	30	21	41	11	4	36.36%	8	2	75.00%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
20	Oceanics	3	0	1	0	0	0	0	2	12	17	-5	1	0	0	0	0	0	0	1	4	5	-1	2	0	1	0	0	0	0	1	8	12	-4	2	0.333	12	23	35	0	0	104	84	65	10	71	768	751	748	68	137	44	73	59	15	4	26.67%	22	2	90.91%	1	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
21	Oil Kings	4	0	3	0	0	0	1	0	9	14	-5	2	0	1	0	0	0	1	0	6	6	0	2	0	2	0	0	0	0	0	3	8	-5	2	0.250	9	12	21	0	0	104	84	65	10	136	768	751	748	68	100	15	29	78	20	3	15.00%	12	3	75.00%	1	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
22	Phantoms	2	1	1	0	0	0	0	0	4	9	-5	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	0	6	-6	2	0.500	4	8	12	0	0	104	84	65	10	46	768	751	748	68	62	14	15	39	6	1	16.67%	5	2	60.00%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
23	Rocket	2	2	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	14	22	0	1	104	84	65	10	73	768	751	748	68	42	12	42	48	15	4	26.67%	8	0	100.00%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
24	Senators	2	1	0	0	0	0	1	0	8	4	4	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	0	1	0	4	3	1	4	1.000	8	12	20	0	0	104	84	65	10	55	768	751	748	68	52	21	16	36	2	1	50.00%	8	0	100.00%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
25	Sharks	4	1	3	0	0	0	0	0	11	21	-10	2	0	2	0	0	0	0	0	3	12	-9	2	1	1	0	0	0	0	0	8	9	-1	2	0.250	11	17	28	0	0	104	84	65	10	119	768	751	748	68	232	52	34	112	10	0	0.00%	16	4	75.00%	1	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
26	Sound Tigers	2	0	2	0	0	0	0	0	4	10	-6	1	0	1	0	0	0	0	0	3	6	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	4	7	11	0	0	104	84	65	10	42	768	751	748	68	69	18	18	45	3	2	66.67%	9	4	55.56%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
27	Spiders	2	0	1	0	0	0	0	1	6	9	-3	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	0	0	1	4	5	-1	1	0.250	6	9	15	0	0	104	84	65	10	54	768	751	748	68	98	26	14	43	11	4	36.36%	7	1	85.71%	1	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
28	Stars	3	3	0	0	0	0	0	0	12	5	7	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	3	0	3	6	1.000	12	23	35	0	1	104	84	65	10	98	768	751	748	68	72	22	27	60	12	3	25.00%	11	1	90.91%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
29	Thunder	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	3	4	-1	0	0.000	3	6	9	0	0	104	84	65	10	37	768	751	748	68	77	31	29	50	11	1	9.09%	12	2	83.33%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
	Total	82	25	42	0	1	3	5	6	259	318	-59	41	19	18	0	0	0	1	3	140	139	1	41	6	24	0	1	3	4	3	119	179	-60	71	0.433	259	440	699	0	3	104	84	65	10	2293	768	751	748	68	2735	792	887	1723	335	70	20.90%	354	73	79.38%	6	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
31	Wolf Pack	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	8	15	23	0	0	104	84	65	10	89	768	751	748	68	79	23	21	39	9	3	33.33%	7	2	71.43%	0	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
	_Since Last GM Reset	82	25	42	0	1	3	5	6	259	318	-59	41	19	18	0	0	0	1	3	140	139	1	41	6	24	0	1	3	4	3	119	179	-60	71	0.433	259	440	699	0	3	104	84	65	10	2293	768	751	748	68	2735	792	887	1723	335	70	20.90%	354	73	79.38%	6	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
	_Vs Conference	42	17	18	0	1	2	2	2	142	160	-18	21	12	6	0	0	0	1	2	81	69	12	21	5	12	0	1	2	1	0	61	91	-30	44	0.524	142	239	381	0	3	104	84	65	10	1222	768	751	748	68	1295	370	457	874	170	38	22.35%	182	41	77.47%	2	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	71	W2	259	440	699	2293	2735	792	887	1723	0	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	25	42	1	3	5	6	259	318

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	18	0	0	1	3	140	139

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	6	24	1	3	4	3	119	179

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	4	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
335	70	20.90%	354	73	79.38%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
768	751	748	68	104	84	65	10

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1893	1272	1999	638	1087	527

Last Played Games

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 - 2018-10-03	3	Heat	4	Comets	5	L	X		BoxScore
4 - 2018-10-06	28	Comets	4	Heat	7	W			BoxScore
7 - 2018-10-09	39	Heat	1	Chill	6	L			BoxScore
9 - 2018-10-11	54	Heat	2	Chiefs	6	L			BoxScore
11 - 2018-10-13	70	Heat	3	Monsters	8	L			BoxScore
15 - 2018-10-17	88	Bruins	4	Heat	3	L			BoxScore
17 - 2018-10-19	101	Chill	3	Heat	2	L			BoxScore
19 - 2018-10-21	116	Heat	3	Wolf Pack	6	L			BoxScore
21 - 2018-10-23	124	Heat	4	Rocket	2	W			BoxScore
23 - 2018-10-25	141	Manchots	3	Heat	2	L			BoxScore
25 - 2018-10-27	151	Bears	1	Heat	3	W			BoxScore
27 - 2018-10-29	165	Heat	5	Marlies	6	L	X	X	BoxScore
28 - 2018-10-30	167	Heat	3	Crunch	1	W			BoxScore
30 - 2018-11-01	187	Monsters	5	Heat	8	W			BoxScore
32 - 2018-11-03	204	Baby Hawks	2	Heat	0	L			BoxScore
36 - 2018-11-07	226	Heat	2	Admirals	3	L			BoxScore
39 - 2018-11-10	252	Heat	3	Monarchs	4	L			BoxScore
40 - 2018-11-11	258	Heat	5	Sharks	8	L			BoxScore
44 - 2018-11-15	283	Rocket	0	Heat	4	W			BoxScore
46 - 2018-11-17	301	Oil Kings	3	Heat	2	L			BoxScore
48 - 2018-11-19	315	Las Vegas	1	Heat	2	W			BoxScore
50 - 2018-11-21	330	Oceanics	5	Heat	4	L	X	X	BoxScore
52 - 2018-11-23	338	Heat	2	Las Vegas	0	W			BoxScore
54 - 2018-11-25	358	Heat	0	Jayhawks	7	L			BoxScore
57 - 2018-11-28	380	Stars	2	Heat	5	W			BoxScore
59 - 2018-11-30	394	Monarchs	3	Heat	6	W			BoxScore
61 - 2018-12-02	409	Heat	3	Baby Hawks	2	W	X		BoxScore
63 - 2018-12-04	420	Heat	5	Monsters	4	W	X	X	BoxScore
65 - 2018-12-06	435	Minnesota	5	Heat	2	L			BoxScore
67 - 2018-12-08	453	Chill	5	Heat	3	L			BoxScore
68 - 2018-12-09	460	Heat	1	Oil Kings	3	L			BoxScore
71 - 2018-12-12	477	Phantoms	3	Heat	4	W			BoxScore
74 - 2018-12-15	495	Heat	3	Minnesota	5	L			BoxScore
75 - 2018-12-16	507	Heat	0	Chiefs	4	L			BoxScore
77 - 2018-12-18	523	Heat	3	Stars	0	W			BoxScore
79 - 2018-12-20	537	Thunder	4	Heat	0	L			BoxScore
81 - 2018-12-22	550	Chiefs	4	Heat	6	W			BoxScore
86 - 2018-12-27	574	Heat	4	Oceanics	7	L			BoxScore
88 - 2018-12-29	597	Comets	5	Heat	4	L	X	X	BoxScore
90 - 2018-12-31	609	Sharks	5	Heat	2	L			BoxScore
92 - 2019-01-02	616	Heat	3	Cougars	6	L			BoxScore
93 - 2019-01-03	622	Heat	3	Bruins	4	L	X		BoxScore
95 - 2019-01-05	636	Heat	0	Phantoms	6	L			BoxScore
97 - 2019-01-07	655	Heat	2	Baby Hawks	4	L			BoxScore
99 - 2019-01-09	669	Monsters	4	Heat	3	L			BoxScore
101 - 2019-01-11	685	Cabaret Lady Mary Ann	2	Heat	4	W			BoxScore
103 - 2019-01-13	704	Jayhawks	2	Heat	3	W			BoxScore
106 - 2019-01-16	723	Crunch	1	Heat	3	W			BoxScore
108 - 2019-01-18	737	Cougars	4	Heat	5	W			BoxScore
109 - 2019-01-19	750	Heat	2	Oil Kings	5	L			BoxScore
112 - 2019-01-22	763	Caroline	3	Heat	7	W			BoxScore
122 - 2019-02-01	785	Heat	0	Bears	2	L			BoxScore
124 - 2019-02-03	804	Heat	3	Caroline	4	L			BoxScore
128 - 2019-02-07	835	Sharks	7	Heat	1	L			BoxScore
130 - 2019-02-09	850	Heat	7	Comets	6	W			BoxScore
133 - 2019-02-12	868	Heat	3	Thunder	4	L			BoxScore
135 - 2019-02-14	877	Heat	5	Cabaret Lady Mary Ann	6	L	X		BoxScore
137 - 2019-02-16	893	Heat	3	Manchots	5	L			BoxScore
139 - 2019-02-18	910	Jayhawks	4	Heat	3	L	X	X	BoxScore
141 - 2019-02-20	927	Sound Tigers	6	Heat	3	L			BoxScore
143 - 2019-02-22	943	Admirals	1	Heat	5	W			BoxScore
145 - 2019-02-24	960	Heat	4	Senators	3	W	X	X	BoxScore
147 - 2019-02-26	969	Heat	1	Sound Tigers	4	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
148 - 2019-02-27	980	Heat	4	Spiders	5	L	X	X	BoxScore
151 - 2019-03-02	1008	Minnesota	7	Heat	4	L			BoxScore
153 - 2019-03-04	1018	Marlies	6	Heat	3	L			BoxScore
155 - 2019-03-06	1032	Heat	0	Las Vegas	4	L			BoxScore
156 - 2019-03-07	1041	Heat	7	Jayhawks	6	W	X	X	BoxScore
159 - 2019-03-10	1063	Las Vegas	5	Heat	1	L			BoxScore
161 - 2019-03-12	1078	Spiders	4	Heat	2	L			BoxScore
164 - 2019-03-15	1097	Wolf Pack	1	Heat	5	W			BoxScore
165 - 2019-03-16	1102	Heat	4	Oceanics	5	L	X	X	BoxScore
168 - 2019-03-19	1131	Monsters	3	Heat	1	L			BoxScore
170 - 2019-03-21	1144	Senators	1	Heat	4	W			BoxScore
172 - 2019-03-23	1161	Heat	4	Comets	7	L			BoxScore
174 - 2019-03-25	1176	Monarchs	2	Heat	4	W			BoxScore
176 - 2019-03-27	1187	Stars	3	Heat	4	W			BoxScore
178 - 2019-03-29	1201	Admirals	3	Heat	2	L			BoxScore
180 - 2019-03-31	1220	Heat	3	Sharks	1	W			BoxScore
181 - 2019-04-01	1228	Heat	1	Monarchs	2	L			BoxScore
183 - 2019-04-03	1241	Heat	4	Admirals	3	W	X	X	BoxScore
186 - 2019-04-06	1269	Oil Kings	3	Heat	4	W	X	X	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	61,761	31,292
Attendance PCT	75.32%	76.32%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2270 - 75.65%	64,171$	2,631,015$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,269,577$	2,184,450$	2,202,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
11,682$	2,269,577$	31	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	11,682$	0$

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
2018	82	25	42	0	1	3	5	6	259	318	-59	41	19	18	0	0	0	1	3	140	139	1	41	6	24	0	1	3	4	3	119	179	-60	71	259	440	699	0	3	104	84	65	10	2293	768	751	748	68	2735	792	887	1723	335	70	20.90%	354	73	79.38%	6	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527
Total Regular Season	82	25	42	0	1	3	5	6	259	318	-59	41	19	18	0	0	0	1	3	140	139	1	41	6	24	0	1	3	4	3	119	179	-60	71	259	440	699	0	3	104	84	65	10	2293	768	751	748	68	2735	792	887	1723	335	70	20.90%	354	73	79.38%	6	1121	2360	47.50%	1156	2585	44.72%	618	1393	44.36%	1893	1272	1999	638	1087	527