Ligue de hockey Simulée Ste-Flanelle

Nashville
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	Drake Caggiula	X	X	X		100.00	69	43	83	78	57	63	63	56	35	50	62	64	48	39	36	0	50	59	0
2	Filip Chlapik	X				100.00	53	35	89	66	67	53	37	49	58	50	48	61	48	35	32	0	50	53	0
3	Michael Latta	X		X		100.00	57	66	66	67	71	48	44	44	82	42	45	63	43	43	37	0	50	52	0
4	Joel Vermin		X	X		100.00	49	35	88	75	63	52	35	41	45	48	33	69	47	37	34	0	50	51	0
5	A.J. Greer (R)		X			100.00	59	43	60	62	71	56	37	44	35	52	35	61	48	37	34	0	50	50	0
6	Justin Auger (R)			X		100.00	50	35	95	60	84	49	35	35	35	35	35	57	48	35	32	0	50	47	0
7	Tobias Lindberg		X	X		100.00	45	35	77	62	75	50	31	33	35	34	32	70	46	35	32	0	50	47	0
8	T.J. Tynan (R)	X				100.00	46	35	94	75	46	45	33	33	35	33	33	56	47	32	30	0	50	45	0
9	Adam Gaudette	X				100.00	45	35	95	63	51	54	35	35	44	35	35	56	48	35	32	0	50	45	0
10	Samuel Kurker (R)			X		100.00	41	45	45	45	70	39	39	41	45	41	41	45	43	32	30	0	50	44	0
11	Keegan Kolesar (R)			X		100.00	41	43	43	43	78	40	40	41	43	41	41	43	42	32	30	0	50	44	0
12	Cody Goloubef				X	100.00	55	50	78	64	65	59	43	43	35	46	39	67	47	46	42	0	50	55	0
13	Joshua Mahura (R)				X	100.00	43	43	43	43	58	43	43	43	43	43	43	43	43	32	30	0	50	44	0
14	Luke Green (R)				X	100.00	43	43	43	43	61	43	43	43	43	43	43	43	43	32	30	0	50	44	0
15	Markus Niemelainen (R)				X	100.00	43	43	43	43	67	43	43	43	43	43	43	43	43	32	30	0	50	44	0
16	Matthew Cairns (R)				X	100.00	43	43	43	43	68	43	43	43	43	43	43	43	43	32	30	0	50	44	0
17	Chris Martenet (R)				X	100.00	38	40	40	40	72	37	37	38	40	38	38	40	39	32	30	0	50	42	0
Scratches
1	Thomas Novak (R)	X				100.00	41	43	43	43	55	40	40	41	43	41	41	43	42	32	30	0	50	42	0
2	Yan Pavel Laplante (R)	X				100.00	39	43	43	43	54	37	37	39	43	39	39	43	41	32	30	0	50	41	0
3	Filip Ahl (R)		X	X		100.00	38	40	40	40	80	37	37	38	40	38	38	40	39	32	30	0	50	41	0
4	Todd Burgess (R)	X		X		100.00	40	40	40	40	55	40	40	40	40	40	40	40	40	32	30	0	50	41	0
5	Dmitry Sokolov (R)		X	X		100.00	37	37	37	37	72	37	37	37	37	37	37	37	37	32	30	0	50	40	0
6	Nikita Korostelev (R)			X		100.00	35	37	37	37	69	35	35	35	37	35	35	37	36	32	30	0	50	39	0
7	Nolan Stevens (R)	X				100.00	37	37	37	37	58	37	37	37	37	37	37	37	37	32	30	0	50	39	0
8	Pavel Jenys (R)	X				100.00	33	37	37	37	66	33	33	33	37	33	33	37	35	32	30	0	50	38	0
9	Adam Marsh (R)		X			100.00	35	37	37	37	45	35	35	35	37	35	35	37	36	32	30	0	50	38	0
10	Blaine Byron (R)	X				100.00	33	37	37	37	46	33	33	33	37	33	33	37	35	32	30	0	50	37	0
11	Brian Pinho (R)	X		X		100.00	33	37	37	37	52	33	33	33	37	33	33	37	35	32	30	0	50	37	0
12	Grant Besse (R)			X		100.00	33	37	37	37	52	33	33	33	37	33	33	37	35	32	30	0	50	37	0
13	Henri Ikonen (R)		X			100.00	33	37	37	37	57	33	33	33	37	33	33	37	35	32	30	0	50	37	0
14	Victor Crus Rydberg (R)	X				100.00	33	37	37	37	61	33	33	33	37	33	33	37	35	32	30	0	50	37	0
15	Tom Nilsson (R)				X	100.00	36	40	40	40	53	35	35	36	40	36	36	40	38	32	30	0	50	40	0
16	Jordan Sambrook (R)				X	100.00	35	37	37	37	37	35	35	35	37	35	35	37	36	32	30	0	50	37	0

	TEAM AVERAGE					100.00	42	40	53	48	62	42	38	39	41	39	38	47	41	34	31	0	50	43

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	Thomas McCollum	100.00	48	45	42	77	47	39	39	45	39	56	55	35	32	0	50	46	0
2	Pheonix Copley	100.00	27	45	62	74	30	43	43	33	43	62	60	37	34	0	50	45	0
Scratches
1	Kent Simpson	100.00	40	45	42	74	39	37	37	38	37	37	36	35	32	0	50	42	0
2	Kristian Oldham (R)	100.00	36	37	36	70	36	35	35	35	35	35	35	32	30	0	50	39	0

	TEAM AVERAGE	100.00	38	43	46	74	38	39	39	38	39	48	47	35	32	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	Filip Chlapik	Chill (Nas)	C	79	31	50	81	13	14	0	65	175	243	63	177	12.76%	27	1582	20.03	10	9	19	59	239	2	2	4	6	181	3	2	57.28%	1627	0	1	1.02	3	7	0	0	0	6	6	5
2	Joel Vermin	Chill (Nas)	LW/RW	82	27	36	63	-12	22	0	69	159	212	40	135	12.74%	26	1470	17.94	5	9	14	45	247	0	0	0	1	92	2	0	48.51%	101	0	0	0.86	0	4	0	0	0	4	1	3
3	Cody Goloubef	Chill (Nas)	D	82	16	44	60	0	42	0	121	101	127	42	96	12.60%	114	1795	21.90	6	12	18	76	242	0	2	2	1	200	3	3	0.00%	0	0	0	0.67	0	0	0	0	0	2	3	4
4	Michael Latta	Chill (Nas)	C/RW	74	23	27	50	1	76	20	143	127	195	46	136	11.79%	20	1291	17.46	6	6	12	42	217	0	2	2	4	105	7	1	64.94%	579	0	0	0.77	3	6	2	1	1	1	6	7
5	A.J. Greer	Chill (Nas)	LW	82	18	32	50	7	78	20	201	116	199	39	140	9.05%	34	1274	15.54	2	5	7	14	132	0	0	0	2	54	2	1	41.33%	150	0	0	0.78	1	2	0	0	4	5	3	3
6	Drake Caggiula	Chill (Nas)	C/LW/RW	27	19	19	38	6	15	5	78	85	116	42	82	16.38%	17	588	21.79	3	10	13	14	77	2	0	2	5	66	3	2	41.15%	644	2	1	1.29	0	2	0	0	1	5	1	4
7	Justin Auger	Chill (Nas)	RW	82	15	19	34	-2	23	5	64	69	100	38	81	15.00%	24	1226	14.96	2	5	7	11	141	0	0	0	0	30	0	2	50.62%	81	0	0	0.55	0	3	0	0	0	0	1	1
8	T.J. Tynan	Chill (Nas)	C	82	11	20	31	-6	14	0	39	152	103	33	81	10.68%	13	1214	14.81	2	2	4	9	125	0	0	0	1	44	3	1	38.09%	1226	0	0	0.51	1	1	0	0	0	1	2	2
9	Tobias Lindberg	Chill (Nas)	LW/RW	56	12	16	28	0	12	0	34	74	110	30	62	10.91%	20	923	16.48	2	3	5	14	108	0	0	0	0	35	3	2	52.54%	59	0	0	0.61	0	0	0	0	0	1	1	2
10	Adam Gaudette	Chill (Nas)	C	78	13	13	26	-9	4	0	18	111	92	23	63	14.13%	14	1009	12.94	0	0	0	0	3	0	0	0	0	29	2	0	46.24%	811	0	0	0.52	1	1	0	0	0	0	1	2
11	Neal Pionk	Nashville	D	24	3	22	25	12	20	0	26	36	41	13	32	7.32%	35	506	21.11	2	8	10	23	77	0	0	0	1	35	0	0	0.00%	0	0	0	0.99	0	0	0	0	0	1	1	0
12	Joshua Mahura	Chill (Nas)	D	82	4	9	13	-9	84	0	130	18	30	7	14	13.33%	52	1318	16.08	0	1	1	5	83	0	0	0	1	117	0	1	44.44%	27	0	0	0.20	0	1	0	0	0	0	2	0
13	Luke Green	Chill (Nas)	D	82	2	11	13	-8	80	0	88	16	18	11	19	11.11%	41	1422	17.35	1	2	3	7	161	0	0	0	0	111	0	0	50.00%	2	0	0	0.18	0	0	0	0	0	0	0	1
14	Matthew Cairns	Chill (Nas)	D	82	2	11	13	3	46	0	109	20	23	7	11	8.70%	65	1338	16.32	0	2	2	2	93	0	0	0	0	100	0	0	38.46%	13	0	0	0.19	0	0	0	0	0	0	1	0
15	Keegan Kolesar	Chill (Nas)	RW	82	4	2	6	-12	35	5	71	16	34	11	36	11.76%	6	746	9.10	0	1	1	1	38	0	0	0	0	3	0	0	48.94%	47	1	0	0.16	0	0	0	1	0	0	0	1
16	Markus Niemelainen	Chill (Nas)	D	23	1	3	4	-5	21	5	36	2	6	3	5	16.67%	15	445	19.38	0	1	1	4	63	0	0	0	0	49	0	0	0.00%	0	0	0	0.18	0	0	0	0	1	0	0	0
17	Samuel Kurker	Chill (Nas)	RW	23	0	1	1	-1	11	5	9	2	12	3	9	0.00%	3	138	6.00	0	1	1	3	19	0	0	0	0	9	0	0	42.86%	35	0	0	0.14	0	0	0	0	1	0	0	0
18	Chris Martenet	Chill (Nas)	D	23	0	1	1	-7	14	0	25	2	2	2	5	0.00%	4	349	15.19	0	0	0	1	18	0	0	0	0	34	0	0	0.00%	0	0	0	0.06	0	0	0	0	0	0	0	0
Team Total or Average				1145	201	336	537	-29	611	65	1326	1281	1663	453	1184	12.09%	530	18642	16.28	41	77	118	330	2094	4	6	10	22	1304	28	15	49.13%	5402	3	2	0.58	9	27	2	2	8	26	29	35

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	EG	PS %	PSA	ST	BG	S1
1	Thomas McCollum	Chill (Nas)	62	29	25	3	0.875	3.57	3312	2	197	1576	5	1	0.743	35	60	30	1
2	Pheonix Copley	Chill (Nas)	5	1	1	0	0.917	2.33	232	0	9	108	0	0	0.000	0	1	23	0
Team Total or Average			67	30	26	3	0.878	3.49	3545	2	206	1684	5	1	0.743	35	61	53	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
A.J. Greer	Chill (Nas)	LW	20	1996-12-14	Yes	204 Lbs	6 ft3	No	No	No	3	ELC	Pro & Farm	725,000$	72,500$	0$	No	Link
Adam Gaudette	Chill (Nas)	C	21	1996-10-03	No	170 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Adam Marsh	Chill (Nas)	LW	20	1997-08-22	Yes	160 Lbs	6 ft0	No	No	No	3	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Blaine Byron	Chill (Nas)	C	22	1995-02-21	Yes	163 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Brian Pinho	Chill (Nas)	C/RW	22	1995-05-11	Yes	173 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Chris Martenet	Chill (Nas)	D	21	1996-09-25	Yes	212 Lbs	6 ft7	No	No	No	3	ELC	Pro & Farm	650,000$	65,000$	0$	No	Link
Cody Goloubef	Chill (Nas)	D	27	1989-11-30	No	200 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	900,000$	90,000$	0$	No	Link
Dmitry Sokolov	Chill (Nas)	LW/RW	19	1998-04-14	Yes	208 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Drake Caggiula	Chill (Nas)	C/LW/RW	23	1994-06-20	No	185 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	925,000$	925,000$	0$	No	Link
Filip Ahl	Chill (Nas)	LW/RW	20	1997-06-12	Yes	225 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	650,000$	65,000$	0$	No	Link
Filip Chlapik	Chill (Nas)	C	20	1997-06-03	No	196 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	825,000$	82,500$	0$	No	Link
Grant Besse	Chill (Nas)	RW	23	1994-07-14	Yes	177 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Henri Ikonen	Chill (Nas)	LW	23	1994-04-17	Yes	184 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	625,000$	62,500$	0$	No	Link
Joel Vermin	Chill (Nas)	LW/RW	25	1992-02-05	No	192 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	635,000$	63,500$	0$	No	Link
Jordan Sambrook	Chill (Nas)	D	19	1998-04-11	Yes	193 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Joshua Mahura	Chill (Nas)	D	19	1998-05-05	Yes	185 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Justin Auger	Chill (Nas)	RW	23	1994-05-14	Yes	232 Lbs	6 ft6	No	No	No	2	RFA	Pro & Farm	625,000$	62,500$	0$	No	Link
Keegan Kolesar	Chill (Nas)	RW	20	1997-04-08	Yes	223 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Kent Simpson	Chill (Nas)	G	25	1992-03-26	No	198 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	550,000$	55,000$	0$	No	Link
Kristian Oldham	Chill (Nas)	G	20	1997-06-25	Yes	190 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Luke Green	Chill (Nas)	D	19	1998-01-12	Yes	190 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	690,000$	69,000$	0$	No	Link
Markus Niemelainen	Chill (Nas)	D	19	1998-06-08	Yes	200 Lbs	6 ft5	No	No	No	4	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Matthew Cairns	Chill (Nas)	D	19	1998-04-27	Yes	205 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Michael Latta	Chill (Nas)	C/RW	26	1991-05-25	No	207 Lbs	6 ft0	Yes	No	No	2	RFA	Pro & Farm	570,000$	57,000$	0$	No	Link
Nikita Korostelev	Chill (Nas)	RW	20	1997-02-08	Yes	201 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	525,000$	52,500$	0$	No	Link
Nolan Stevens	Chill (Nas)	C	21	1996-07-22	Yes	183 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	842,500$	84,250$	0$	No	Link
Pavel Jenys	Chill (Nas)	C	21	1996-04-22	Yes	192 Lbs	6 ft2	No	No	No	2	ELC	Pro & Farm	655,000$	65,500$	0$	No	Link
Pheonix Copley	Chill (Nas)	G	25	1992-01-18	No	196 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	767,000$	76,700$	0$	No	Link
Samuel Kurker	Chill (Nas)	RW	23	1994-04-08	Yes	201 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	825,000$	82,500$	0$	No	Link
T.J. Tynan	Chill (Nas)	C	25	1992-02-25	Yes	165 Lbs	5 ft8	No	No	No	2	RFA	Pro & Farm	700,000$	70,000$	0$	No	Link
Thomas McCollum	Chill (Nas)	G	27	1989-12-07	No	205 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	450,000$	45,000$	0$	No	Link
Thomas Novak	Chill (Nas)	C	20	1997-04-28	Yes	179 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	700,000$	70,000$	0$	No	Link
Tobias Lindberg	Chill (Nas)	LW/RW	22	1995-07-22	No	217 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	660,000$	66,000$	0$	No	Link
Todd Burgess	Chill (Nas)	C/RW	21	1996-04-03	Yes	178 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	650,000$	65,000$	0$	No	Link
Tom Nilsson	Chill (Nas)	D	24	1993-08-19	Yes	176 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	825,000$	82,500$	0$	No	Link
Victor Crus Rydberg	Chill (Nas)	C	22	1995-03-21	Yes	190 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	525,000$	52,500$	0$	No	Link
Yan Pavel Laplante	Chill (Nas)	C	22	1995-04-23	Yes	178 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	700,000$	70,000$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
37	21.84	193 Lbs	6 ft1	2.68	653,905$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Joel Vermin	Drake Caggiula	Michael Latta	40	1	2	2
2	A.J. Greer	Filip Chlapik	Tobias Lindberg	30	1	2	2
3	Adam Gaudette	T.J. Tynan	Justin Auger	20	1	2	2
4	Drake Caggiula	Adam Gaudette	Keegan Kolesar	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cody Goloubef	Joshua Mahura	40	1	2	2
2	Matthew Cairns	Markus Niemelainen	30	1	2	2
3	Luke Green	Chris Martenet	20	1	2	2
4	Cody Goloubef	Joshua Mahura	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Joel Vermin	Drake Caggiula	Michael Latta	60	1	2	2
2	A.J. Greer	Filip Chlapik	Tobias Lindberg	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cody Goloubef	Joshua Mahura	60	1	2	2
2	Matthew Cairns	Markus Niemelainen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Drake Caggiula	Filip Chlapik	60	1	2	2
2	Michael Latta	Joel Vermin	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cody Goloubef	Joshua Mahura	60	1	2	2
2	Matthew Cairns	Markus Niemelainen	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Drake Caggiula	60	1	2	2	Cody Goloubef	Joshua Mahura	60	1	2	2
2	Filip Chlapik	40	1	2	2	Matthew Cairns	Markus Niemelainen	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Drake Caggiula	Filip Chlapik	60	1	2	2
2	Michael Latta	Joel Vermin	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cody Goloubef	Joshua Mahura	60	1	2	2
2	Matthew Cairns	Markus Niemelainen	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Joel Vermin	Drake Caggiula	Michael Latta	Cody Goloubef	Joshua Mahura

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Joel Vermin	Drake Caggiula	Michael Latta	Cody Goloubef	Joshua Mahura

Extra Forwards
Normal	PowerPlay	Penalty Kill
Samuel Kurker, Justin Auger, T.J. Tynan	Samuel Kurker, Justin Auger	T.J. Tynan

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Luke Green, Chris Martenet, Matthew Cairns	Luke Green	Chris Martenet, Matthew Cairns

Penalty Shots
Drake Caggiula, Filip Chlapik, Michael Latta, Joel Vermin, A.J. Greer

Goalie
#1 : Thomas McCollum, #2 : Pheonix Copley

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	0	3	0	0	0	0	0	5	14	-9	1	0	1	0	0	0	0	0	2	5	-3	2	0	2	0	0	0	0	0	3	9	-6	0	0.000	5	6	11	0	0	111	78	70	13	55	715	716	753	65	89	30	33	54	10	1	10.00%	14	4	71.43%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
2	Baby Hawks	4	0	2	0	0	0	1	1	12	14	-2	2	0	2	0	0	0	0	0	5	7	-2	2	0	0	0	0	0	1	1	7	7	0	3	0.375	12	18	30	0	0	111	78	70	13	100	715	716	753	65	113	33	38	87	15	3	20.00%	19	2	89.47%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
3	Bears	2	0	2	0	0	0	0	0	3	11	-8	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	3	4	7	0	0	111	78	70	13	56	715	716	753	65	64	20	26	47	12	1	8.33%	13	4	69.23%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
4	Bruins	2	1	0	0	0	0	0	1	7	7	0	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	0	1	4	5	-1	3	0.750	7	11	18	0	0	111	78	70	13	46	715	716	753	65	56	13	26	40	5	2	40.00%	13	2	84.62%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
5	Cabaret Lady Mary Ann	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	8	12	20	0	0	111	78	70	13	98	715	716	753	65	50	8	30	44	13	2	15.38%	4	1	75.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
6	Caroline	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	8	15	23	0	0	111	78	70	13	70	715	716	753	65	62	15	10	49	9	3	33.33%	5	1	80.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
7	Chiefs	5	1	4	0	0	0	0	0	9	16	-7	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	5	9	-4	2	0.200	9	15	24	0	0	111	78	70	13	102	715	716	753	65	135	41	45	98	13	1	7.69%	20	6	70.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
8	Comets	3	1	1	0	1	0	0	0	13	10	3	2	1	1	0	0	0	0	0	8	6	2	1	0	0	0	1	0	0	0	5	4	1	4	0.667	13	20	33	0	0	111	78	70	13	83	715	716	753	65	65	18	24	70	10	1	10.00%	12	3	75.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
9	Cougars	2	1	1	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	2	6	-4	1	1	0	0	0	0	0	0	5	2	3	2	0.500	7	12	19	0	0	111	78	70	13	44	715	716	753	65	76	21	18	36	5	1	20.00%	9	1	88.89%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
10	Crunch	2	1	0	0	1	0	0	0	9	5	4	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	1	0	0	0	5	4	1	4	1.000	9	14	23	0	0	111	78	70	13	62	715	716	753	65	47	22	12	35	11	2	18.18%	6	2	66.67%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
11	Heat	3	3	0	0	0	0	0	0	14	6	8	1	1	0	0	0	0	0	0	6	1	5	2	2	0	0	0	0	0	0	8	5	3	6	1.000	14	24	38	0	0	111	78	70	13	98	715	716	753	65	59	19	26	45	20	4	20.00%	12	0	100.00%	1	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
12	Jayhawks	3	0	3	0	0	0	0	0	6	17	-11	2	0	2	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	6	9	15	0	0	111	78	70	13	65	715	716	753	65	94	18	27	37	4	0	0.00%	11	3	72.73%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
13	Las Vegas	3	1	1	0	0	0	0	1	11	13	-2	1	0	0	0	0	0	0	1	2	3	-1	2	1	1	0	0	0	0	0	9	10	-1	3	0.500	11	18	29	0	0	111	78	70	13	85	715	716	753	65	101	36	28	59	11	2	18.18%	13	2	84.62%	1	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
14	Manchots	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	3	1	2	2	0.500	6	9	15	0	0	111	78	70	13	35	715	716	753	65	34	9	10	42	9	2	22.22%	5	1	80.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
15	Marlies	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	2	1	1	2	0.500	3	5	8	0	0	111	78	70	13	31	715	716	753	65	56	19	24	44	7	0	0.00%	7	0	100.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
16	Minnesota	4	1	1	0	0	0	2	0	17	12	5	2	1	0	0	0	0	1	0	10	5	5	2	0	1	0	0	0	1	0	7	7	0	6	0.750	17	27	44	0	0	111	78	70	13	123	715	716	753	65	154	42	38	83	13	2	15.38%	18	2	88.89%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
17	Monarchs	3	2	1	0	0	0	0	0	9	7	2	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	3	1	4	0.667	9	15	24	0	0	111	78	70	13	79	715	716	753	65	78	28	18	54	11	4	36.36%	9	0	100.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
18	Monsters	2	1	0	0	1	0	0	0	7	5	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	1	0	0	0	5	4	1	4	1.000	7	11	18	0	0	111	78	70	13	59	715	716	753	65	40	19	12	37	10	1	10.00%	6	1	83.33%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
19	Monsters	4	0	3	0	0	0	1	0	10	19	-9	2	0	2	0	0	0	0	0	4	11	-7	2	0	1	0	0	0	1	0	6	8	-2	2	0.250	10	16	26	0	0	111	78	70	13	91	715	716	753	65	151	47	32	76	18	0	0.00%	15	5	66.67%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
20	Oceanics	4	0	3	0	0	0	0	1	15	21	-6	2	0	1	0	0	0	0	1	8	11	-3	2	0	2	0	0	0	0	0	7	10	-3	1	0.125	15	23	38	0	0	111	78	70	13	103	715	716	753	65	144	44	24	75	16	4	25.00%	12	5	58.33%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
21	Oil Kings	3	2	1	0	0	0	0	0	9	6	3	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	4	0.667	9	15	24	0	0	111	78	70	13	71	715	716	753	65	58	23	29	49	10	1	10.00%	8	0	100.00%	1	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
22	Phantoms	2	2	0	0	0	0	0	0	9	6	3	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	4	3	1	4	1.000	9	14	23	0	0	111	78	70	13	49	715	716	753	65	54	16	16	36	10	2	20.00%	8	2	75.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
23	Rocket	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	7	12	19	0	0	111	78	70	13	67	715	716	753	65	29	5	17	38	12	4	33.33%	5	2	60.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
24	Senators	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	5	2	3	2	0.500	10	18	28	1	0	111	78	70	13	52	715	716	753	65	75	20	12	35	7	2	28.57%	6	3	50.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
25	Sharks	3	2	1	0	0	0	0	0	11	15	-4	1	1	0	0	0	0	0	0	5	4	1	2	1	1	0	0	0	0	0	6	11	-5	4	0.667	11	18	29	0	0	111	78	70	13	101	715	716	753	65	114	44	24	63	20	2	10.00%	12	0	100.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
26	Sound Tigers	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	0	2	4	1.000	7	13	20	0	1	111	78	70	13	72	715	716	753	65	34	12	13	33	11	2	18.18%	4	0	100.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
27	Spiders	2	1	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	0	6	-6	1	1	0	0	0	0	0	0	5	1	4	2	0.500	5	8	13	0	0	111	78	70	13	63	715	716	753	65	66	22	27	34	5	0	0.00%	10	3	70.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
28	Stars	5	2	3	0	0	0	0	0	13	11	2	3	2	1	0	0	0	0	0	12	7	5	2	0	2	0	0	0	0	0	1	4	-3	4	0.400	13	21	34	0	0	111	78	70	13	148	715	716	753	65	114	32	39	87	30	3	10.00%	17	3	82.35%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
29	Thunder	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	9	14	0	0	111	78	70	13	35	715	716	753	65	48	13	20	38	8	2	25.00%	10	4	60.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
	Total	82	35	36	0	3	0	4	4	266	276	-10	41	17	21	0	0	0	1	2	133	146	-13	41	18	15	0	3	0	3	2	133	130	3	88	0.537	266	430	696	1	2	111	78	70	13	2211	715	716	753	65	2322	705	722	1571	340	55	16.18%	314	62	80.25%	4	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
31	Wolf Pack	2	2	0	0	0	0	0	0	11	4	7	1	1	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	5	0	5	4	1.000	11	18	29	0	1	111	78	70	13	68	715	716	753	65	62	16	24	46	5	1	20.00%	11	0	100.00%	1	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
	_Since Last GM Reset	82	35	36	0	3	0	4	4	266	276	-10	41	17	21	0	0	0	1	2	133	146	-13	41	18	15	0	3	0	3	2	133	130	3	88	0.537	266	430	696	1	2	111	78	70	13	2211	715	716	753	65	2322	705	722	1571	340	55	16.18%	314	62	80.25%	4	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
	_Vs Conference	35	16	16	0	1	0	0	2	113	128	-15	17	7	9	0	0	0	0	1	55	70	-15	18	9	7	0	1	0	0	1	58	58	0	36	0.514	113	182	295	1	2	111	78	70	13	904	715	716	753	65	1014	325	309	678	146	26	17.81%	140	29	79.29%	1	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
	_Vs Division	16	6	6	0	0	0	0	2	56	49	7	8	3	3	0	0	0	0	1	25	28	-3	8	3	3	0	0	0	0	1	31	21	10	14	0.438	56	93	149	1	0	111	78	70	13	435	715	716	753	65	437	121	159	310	68	15	22.06%	60	15	75.00%	0	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	88	L1	266	430	696	2211	2322	705	722	1571	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	35	36	3	0	4	4	266	276

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	21	0	0	1	2	133	146

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	18	15	3	0	3	2	133	130

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	6	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
340	55	16.18%	314	62	80.25%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
715	716	753	65	111	78	70	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1985	1348	1889	625	1091	549

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
2 - 2018-10-04	6	Chill	5	Wolf Pack	0	W			BoxScore
4 - 2018-10-06	22	Chill	2	Sound Tigers	0	W			BoxScore
7 - 2018-10-09	39	Heat	1	Chill	6	W			BoxScore
9 - 2018-10-11	55	Oceanics	6	Chill	4	L			BoxScore
11 - 2018-10-13	66	Sound Tigers	3	Chill	5	W			BoxScore
13 - 2018-10-15	77	Minnesota	1	Chill	5	W			BoxScore
17 - 2018-10-19	101	Chill	3	Heat	2	W			BoxScore
18 - 2018-10-20	113	Chill	4	Oil Kings	2	W			BoxScore
21 - 2018-10-23	126	Sharks	4	Chill	5	W			BoxScore
23 - 2018-10-25	136	Chill	5	Spiders	1	W			BoxScore
25 - 2018-10-27	150	Oil Kings	2	Chill	5	W			BoxScore
28 - 2018-10-30	173	Las Vegas	3	Chill	2	L	X	X	BoxScore
30 - 2018-11-01	185	Chill	2	Thunder	4	L			BoxScore
32 - 2018-11-03	202	Bruins	2	Chill	3	W			BoxScore
36 - 2018-11-07	225	Chill	2	Monsters	5	L			BoxScore
39 - 2018-11-10	244	Chill	0	Stars	1	L			BoxScore
41 - 2018-11-12	263	Chill	0	Admirals	4	L			BoxScore
42 - 2018-11-13	272	Chill	5	Sharks	2	W			BoxScore
44 - 2018-11-15	284	Chill	1	Jayhawks	6	L			BoxScore
46 - 2018-11-17	300	Monarchs	1	Chill	4	W			BoxScore
48 - 2018-11-19	314	Thunder	5	Chill	3	L			BoxScore
50 - 2018-11-21	326	Chiefs	3	Chill	2	L			BoxScore
52 - 2018-11-23	344	Chill	2	Chiefs	4	L			BoxScore
54 - 2018-11-25	360	Admirals	5	Chill	2	L			BoxScore
56 - 2018-11-27	371	Monsters	6	Chill	1	L			BoxScore
58 - 2018-11-29	386	Jayhawks	6	Chill	2	L			BoxScore
60 - 2018-12-01	405	Baby Hawks	2	Chill	1	L			BoxScore
62 - 2018-12-03	414	Crunch	1	Chill	4	W			BoxScore
65 - 2018-12-06	437	Chill	5	Comets	4	W	X		BoxScore
67 - 2018-12-08	453	Chill	5	Heat	3	W			BoxScore
70 - 2018-12-11	471	Senators	7	Chill	5	L			BoxScore
72 - 2018-12-13	483	Comets	5	Chill	4	L			BoxScore
74 - 2018-12-15	502	Spiders	6	Chill	0	L			BoxScore
76 - 2018-12-17	515	Chill	5	Senators	2	W			BoxScore
77 - 2018-12-18	522	Chill	4	Baby Hawks	3	W	X	X	BoxScore
79 - 2018-12-20	532	Chill	4	Phantoms	3	W			BoxScore
81 - 2018-12-22	545	Chill	4	Bruins	5	L	X	X	BoxScore
86 - 2018-12-27	573	Stars	2	Chill	6	W			BoxScore
88 - 2018-12-29	593	Wolf Pack	4	Chill	6	W			BoxScore
90 - 2018-12-31	599	Chill	1	Bears	4	L			BoxScore
91 - 2019-01-01	613	Phantoms	3	Chill	5	W			BoxScore
94 - 2019-01-04	630	Chill	5	Cougars	2	W			BoxScore
95 - 2019-01-05	640	Chill	4	Rocket	1	W			BoxScore
97 - 2019-01-07	652	Chill	2	Marlies	1	W			BoxScore
99 - 2019-01-09	668	Chill	3	Baby Hawks	4	L	X	X	BoxScore
100 - 2019-01-10	675	Chill	5	Monsters	4	W	X		BoxScore
103 - 2019-01-13	699	Chill	4	Caroline	1	W			BoxScore
105 - 2019-01-15	716	Bears	7	Chill	2	L			BoxScore
107 - 2019-01-17	730	Oceanics	5	Chill	4	L	X	X	BoxScore
109 - 2019-01-19	747	Cabaret Lady Mary Ann	3	Chill	4	W			BoxScore
111 - 2019-01-21	756	Chill	4	Monsters	3	W	X	X	BoxScore
113 - 2019-01-23	768	Chill	5	Las Vegas	7	L			BoxScore
122 - 2019-02-01	782	Chill	4	Cabaret Lady Mary Ann	2	W			BoxScore
123 - 2019-02-02	798	Stars	3	Chill	2	L			BoxScore
126 - 2019-02-05	817	Jayhawks	5	Chill	3	L			BoxScore
128 - 2019-02-07	832	Stars	2	Chill	4	W			BoxScore
130 - 2019-02-09	843	Chill	0	Chiefs	4	L			BoxScore
131 - 2019-02-10	852	Chiefs	4	Chill	2	L			BoxScore
133 - 2019-02-12	870	Cougars	6	Chill	2	L			BoxScore
135 - 2019-02-14	881	Rocket	1	Chill	3	W			BoxScore
137 - 2019-02-16	901	Chill	4	Las Vegas	3	W			BoxScore
140 - 2019-02-19	923	Chill	1	Stars	3	L			BoxScore
142 - 2019-02-21	936	Monarchs	3	Chill	1	L			BoxScore
144 - 2019-02-23	951	Monsters	5	Chill	3	L			BoxScore
146 - 2019-02-25	965	Oil Kings	2	Chill	0	L			BoxScore
147 - 2019-02-26	975	Chill	3	Chiefs	1	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2019-03-01	996	Chill	4	Oceanics	5	L			BoxScore
152 - 2019-03-03	1015	Chill	3	Minnesota	2	W	X	X	BoxScore
154 - 2019-03-05	1024	Minnesota	4	Chill	5	W	X	X	BoxScore
158 - 2019-03-09	1057	Caroline	3	Chill	4	W			BoxScore
161 - 2019-03-12	1079	Chill	3	Admirals	5	L			BoxScore
163 - 2019-03-14	1091	Chill	4	Monarchs	3	W			BoxScore
165 - 2019-03-16	1110	Chill	1	Sharks	9	L			BoxScore
168 - 2019-03-19	1128	Marlies	3	Chill	1	L			BoxScore
170 - 2019-03-21	1141	Manchots	5	Chill	3	L			BoxScore
172 - 2019-03-23	1154	Chill	3	Oceanics	5	L			BoxScore
174 - 2019-03-25	1174	Chill	4	Minnesota	5	L			BoxScore
178 - 2019-03-29	1198	Chill	3	Manchots	1	W			BoxScore
179 - 2019-03-30	1210	Monsters	1	Chill	2	W			BoxScore
182 - 2019-04-02	1229	Chill	5	Crunch	4	W	X		BoxScore
184 - 2019-04-04	1249	Comets	1	Chill	4	W			BoxScore
186 - 2019-04-06	1266	Baby Hawks	5	Chill	4	L			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	38	18
Attendance	61,503	30,554
Attendance PCT	75.00%	74.52%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2245 - 74.84%	70,417$	2,887,086$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,042,235$	3,251,950$	3,251,950$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
17,390$	3,042,235$	37	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	17,390$	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	35	36	0	3	0	4	4	266	276	-10	41	17	21	0	0	0	1	2	133	146	-13	41	18	15	0	3	0	3	2	133	130	3	88	266	430	696	1	2	111	78	70	13	2211	715	716	753	65	2322	705	722	1571	340	55	16.18%	314	62	80.25%	4	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549
Total Regular Season	82	35	36	0	3	0	4	4	266	276	-10	41	17	21	0	0	0	1	2	133	146	-13	41	18	15	0	3	0	3	2	133	130	3	88	266	430	696	1	2	111	78	70	13	2211	715	716	753	65	2322	705	722	1571	340	55	16.18%	314	62	80.25%	4	1128	2354	47.92%	1192	2441	48.83%	683	1342	50.89%	1985	1348	1889	625	1091	549