Ligue de hockey Simulée Ste-Flanelle

Las Vegas
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	Age	Contract	Salary Average
1	Lucas Elvenes (R)		X	X		100.00	73	65	90	65	65	67	68	65	50	68	58	64	55	44	44	0	50	60	0	20	4	776,669$
2	Justin Dowling	X	X	X		100.00	74	46	92	70	66	60	70	65	49	58	57	71	25	51	52	0	50	60	0	29	3	850,000$
3	Rudolfs Balcers		X			100.00	75	45	97	65	61	64	81	68	28	61	58	57	25	49	49	0	50	59	0	22	1	525,000$
4	Carsen Twarynski		X			100.00	92	46	91	66	73	57	75	56	26	50	58	64	25	45	45	0	50	57	0	21	2	700,000$
5	Nick Lappin		X	X		100.00	75	62	93	67	66	68	72	57	47	47	50	63	48	49	49	0	50	56	0	26	1	843,000$
6	Nathan Schnarr (R)	X				100.00	73	70	79	68	70	67	71	54	68	57	46	61	44	44	44	0	50	56	0	20	4	786,669$
7	Jakob Stukel		X			100.00	76	70	90	62	70	65	69	53	50	45	56	62	53	44	44	0	50	55	0	22	2	525,000$
8	David Kase	X	X	X		100.00	71	63	91	62	63	63	66	55	69	52	53	60	50	44	44	0	50	55	0	22	1	525,000$
9	Joseph Cramarossa		X	X		100.00	65	72	44	67	70	66	71	52	52	47	50	58	50	46	46	0	50	54	0	26	1	1,000,000$
10	Marcus Davidsson (R)	X				100.00	49	44	95	65	69	56	71	45	53	36	45	44	47	58	58	0	50	50	0	20	4	825,000$
11	Gabriel Carlsson				X	100.00	78	70	90	78	75	67	75	50	25	41	41	64	39	52	52	0	50	61	0	22	1	925,000$
12	Luke Witkowski			X	X	100.00	93	86	69	71	80	49	58	53	27	50	48	58	25	56	57	0	50	59	0	29	1	700,000$
13	Jake Dotchin				X	100.00	76	73	52	65	79	58	59	52	28	41	41	67	38	56	56	0	50	58	0	25	1	615,000$
14	Brandon Hickey				X	100.00	78	75	84	63	75	51	53	43	25	31	40	61	38	44	44	0	50	54	0	23	2	650,000$
15	Noah Juulsen				X	100.00	80	60	90	53	67	55	47	54	25	44	41	63	37	45	45	0	50	54	0	22	1	895,000$
16	Jacob Cederholm (R)				X	100.00	36	40	40	40	67	35	35	36	40	36	36	40	38	32	30	0	50	39	0	21	2	650,000$
Scratches
1	Radovan Bondra (R)		X	X		100.00	32	37	37	37	78	31	31	32	37	32	32	37	34	32	30	0	50	36	0	22	1	525,000$
2	Bill Arnold	X				100.00	28	85	35	35	75	25	39	29	35	29	29	35	43	35	32	0	50	34	0	27	2	900,000$

	TEAM AVERAGE					100.00	68	62	76	61	71	56	62	51	41	46	47	57	40	46	46	0	50	53

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	Oscar Dansk	100.00	61	68	81	79	59	65	57	64	61	63	30	44	44	0	50	61	0
2	Joseph Woll (R)	100.00	50	64	80	80	45	52	50	55	49	49	30	44	44	0	50	54	0
Scratches
1	Antoine Bibeau	100.00	49	52	71	82	45	49	51	56	50	47	30	44	44	0	50	53	0
2	Vasili Demchenko (R)	100.00	42	45	44	59	42	41	41	41	41	41	39	32	30	0	50	42	0

	TEAM AVERAGE	100.00	51	57	69	75	48	52	50	54	50	50	32	41	41	0	50	53

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	Lucas Elvenes	Las Vegas (Las)	LW/RW	80	38	57	95	35	20	0	138	159	325	95	243	11.69%	33	1565	19.56	7	16	23	58	210	1	0	1	3	168	5	5	45.21%	219	2	1	1.21	3	13	0	0	0	8	9	2
2	Justin Dowling	Las Vegas (Las)	C/LW/RW	76	37	53	90	28	34	0	128	181	395	107	300	9.37%	49	1664	21.91	7	14	21	61	191	2	0	2	8	199	10	3	43.03%	330	0	0	1.08	5	14	0	0	0	3	6	12
3	Gabriel Carlsson	Las Vegas (Las)	D	82	17	58	75	28	74	0	214	75	178	62	122	9.55%	170	1988	24.25	9	15	24	55	219	0	2	2	5	212	6	0	0.00%	0	0	0	0.75	0	0	0	0	0	4	4	3
4	Rudolfs Balcers	Las Vegas (Las)	LW	80	35	34	69	10	12	0	84	146	377	65	256	9.28%	15	1610	20.13	9	8	17	64	203	0	2	2	6	111	5	0	31.10%	164	0	1	0.86	2	6	0	0	0	4	3	5
5	Nick Lappin	Las Vegas (Las)	LW/RW	82	35	31	66	16	14	0	112	127	300	95	269	11.67%	20	1519	18.53	6	8	14	54	207	0	0	0	0	0	7	3	50.48%	105	0	3	0.87	0	0	0	0	0	6	1	2
6	Nathan Schnarr	Las Vegas (Las)	C	80	14	39	53	9	34	0	176	215	199	58	167	7.04%	18	1477	18.47	1	12	13	36	207	0	0	0	1	1	1	2	55.04%	2002	0	0	0.72	0	0	0	0	0	1	5	1
7	Carsen Twarynski	Las Vegas (Las)	LW	82	26	26	52	4	46	0	155	124	298	82	230	8.72%	13	1244	15.18	0	0	0	3	22	0	0	0	4	45	2	1	35.40%	113	0	0	0.84	0	0	0	0	0	5	2	0
8	Joseph Cramarossa	Las Vegas (Las)	LW/RW	82	20	27	47	6	41	5	135	108	244	65	144	8.20%	18	1174	14.32	0	0	0	1	8	0	0	0	0	11	1	2	62.14%	140	0	0	0.80	0	0	0	0	1	3	2	5
9	Dylan Gambrell	Las Vegas	C	38	20	26	46	10	14	0	57	135	175	37	123	11.43%	20	898	23.65	3	7	10	20	94	0	0	0	3	118	2	0	57.57%	1195	1	0	1.02	3	8	0	0	0	6	2	4
10	David Kase	Las Vegas (Las)	C/LW/RW	80	16	30	46	1	6	0	23	198	183	64	140	8.74%	23	1219	15.25	0	1	1	1	17	0	0	0	1	22	1	3	56.39%	1369	0	0	0.75	0	1	0	0	0	1	4	2
11	Luke Witkowski	Las Vegas (Las)	RW/D	82	6	34	40	13	109	15	253	58	103	35	70	5.83%	92	1652	20.16	2	6	8	29	172	0	0	0	2	171	0	1	37.50%	8	0	0	0.48	1	3	1	1	1	0	3	2
12	Jake Dotchin	Las Vegas (Las)	D	80	9	30	39	13	79	5	171	71	96	27	79	9.38%	134	1533	19.17	4	5	9	40	153	0	0	0	1	134	0	0	0.00%	0	0	0	0.51	0	0	0	1	0	2	0	1
13	Noah Juulsen	Las Vegas (Las)	D	80	3	24	27	16	34	0	113	50	55	20	45	5.45%	90	1314	16.43	0	1	1	7	52	0	0	0	0	65	1	0	0.00%	0	0	0	0.41	0	0	0	0	0	1	2	0
14	Brandon Davidson	Las Vegas	D	30	5	17	22	13	38	0	76	29	51	14	38	9.80%	47	702	23.43	2	4	6	24	78	0	0	0	0	73	0	1	0.00%	0	0	0	0.63	0	0	0	0	0	2	3	2
15	Brandon Hickey	Las Vegas (Las)	D	63	3	13	16	5	79	15	109	23	40	10	30	7.50%	60	969	15.39	1	1	2	3	7	0	0	0	0	78	1	1	0.00%	0	0	0	0.33	0	0	1	1	1	1	1	0
16	Jakob Stukel	Las Vegas (Las)	LW	80	10	4	14	-2	15	5	59	42	88	17	54	11.36%	26	662	8.28	2	0	2	5	2	0	0	0	4	96	0	2	35.21%	71	0	0	0.42	1	2	0	0	1	0	0	0
17	Zach Trotman	Las Vegas	D	16	1	5	6	-7	2	0	24	25	23	12	25	4.35%	27	343	21.45	1	0	1	12	45	0	0	0	0	54	1	0	0.00%	0	0	0	0.35	0	0	0	0	0	0	0	0
18	Marcus Davidsson	Las Vegas (Las)	C	28	0	0	0	4	0	0	1	16	2	3	4	0.00%	0	182	6.50	0	0	0	2	2	0	0	0	0	14	0	0	55.44%	193	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				1221	295	508	803	202	651	45	2028	1782	3132	868	2339	9.42%	855	21723	17.79	54	98	152	475	1898	3	4	7	38	1581	43	24	53.63%	5909	3	5	0.74	15	47	2	3	4	47	47	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	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Oscar Dansk	Las Vegas (Las)	80	50	19	8	0.925	2.87	4754	2	227	3037	3	0	0.780	50	80	0	10	8	6
2	Joseph Woll	Las Vegas (Las)	5	1	2	0	0.948	1.81	133	0	4	77	0	1	1.000	3	0	80	0	0	0
Team Total or Average			85	51	21	8	0.926	2.84	4887	2	231	3114	3	1	0.792	53	80	80	10	8	6

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Antoine Bibeau	Las Vegas (Las)	G	25	1994-05-01	No	207 Lbs	6 ft3	No	No	No	1	Pro & Farm	675,000$	67,500$	0$	No				Link
Bill Arnold	Las Vegas (Las)	C	27	1992-05-13	No	218 Lbs	6 ft0	No	No	No	2	Pro & Farm	900,000$	90,000$	0$	No	900,000$			Link
Brandon Hickey	Las Vegas (Las)	D	23	1996-04-13	No	201 Lbs	6 ft2	No	No	No	2	Pro & Farm	650,000$	65,000$	0$	No	650,000$			Link
Carsen Twarynski	Las Vegas (Las)	LW	21	1997-11-24	No	198 Lbs	6 ft2	No	No	No	2	Pro & Farm	700,000$	70,000$	0$	No	700,000$			Link
David Kase	Las Vegas (Las)	C/LW/RW	22	1997-01-28	No	170 Lbs	5 ft11	No	No	No	1	Pro & Farm	525,000$	52,500$	0$	No				Link
Gabriel Carlsson	Las Vegas (Las)	D	22	1997-01-02	No	192 Lbs	6 ft5	No	No	No	1	Pro & Farm	925,000$	92,500$	0$	No				Link
Jacob Cederholm	Las Vegas (Las)	D	21	1998-01-30	Yes	203 Lbs	6 ft3	No	No	No	2	Pro & Farm	650,000$	65,000$	0$	No	650,000$			Link
Jake Dotchin	Las Vegas (Las)	D	25	1994-03-24	No	210 Lbs	6 ft3	No	No	No	1	Pro & Farm	615,000$	61,500$	0$	No				Link
Jakob Stukel	Las Vegas (Las)	LW	22	1997-03-06	No	190 Lbs	6 ft0	No	No	No	2	Pro & Farm	525,000$	52,500$	0$	No	525,000$			Link
Joseph Cramarossa	Las Vegas (Las)	LW/RW	26	1992-10-26	No	192 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,000,000$	100,000$	0$	No				Link
Joseph Woll	Las Vegas (Las)	G	21	1998-07-12	Yes	200 Lbs	6 ft3	No	No	No	2	Pro & Farm	700,000$	70,000$	0$	No	700,000$			Link
Justin Dowling	Las Vegas (Las)	C/LW/RW	29	1990-10-01	No	185 Lbs	5 ft10	No	No	No	3	Pro & Farm	850,000$	85,000$	0$	No	850,000$	850,000$		Link
Lucas Elvenes	Las Vegas (Las)	LW/RW	20	1999-08-18	Yes	172 Lbs	6 ft1	No	No	No	4	Pro & Farm	776,669$	77,667$	0$	No	776,669$	776,669$	776,669$	Link
Luke Witkowski	Las Vegas (Las)	RW/D	29	1990-04-14	No	210 Lbs	6 ft2	No	No	No	1	Pro & Farm	700,000$	70,000$	0$	No				Link
Marcus Davidsson	Las Vegas (Las)	C	20	1998-11-18	Yes	192 Lbs	6 ft0	No	No	No	4	Pro & Farm	825,000$	82,500$	0$	No	825,000$	825,000$	825,000$	Link
Nathan Schnarr	Las Vegas (Las)	C	20	1999-02-25	Yes	181 Lbs	6 ft3	No	No	No	4	Pro & Farm	786,669$	78,667$	0$	No	786,669$	786,669$	786,669$	Link
Nick Lappin	Las Vegas (Las)	LW/RW	26	1992-11-01	No	175 Lbs	6 ft1	No	No	No	1	Pro & Farm	843,000$	84,300$	0$	No				Link
Noah Juulsen	Las Vegas (Las)	D	22	1997-04-02	No	175 Lbs	6 ft2	No	No	No	1	Pro & Farm	895,000$	89,500$	0$	No				Link
Oscar Dansk	Las Vegas (Las)	G	25	1994-02-28	No	195 Lbs	6 ft3	Yes	No	No	3	Pro & Farm	560,000$	56,000$	0$	No	560,000$	560,000$		Link
Radovan Bondra	Las Vegas (Las)	LW/RW	22	1997-01-27	Yes	221 Lbs	6 ft5	No	No	No	1	Pro & Farm	525,000$	52,500$	0$	No				Link
Rudolfs Balcers	Las Vegas (Las)	LW	22	1997-04-08	No	165 Lbs	5 ft11	No	No	No	1	Pro & Farm	525,000$	52,500$	0$	No				Link
Vasili Demchenko	Las Vegas (Las)	G	25	1994-03-16	Yes	165 Lbs	6 ft2	No	No	No	2	Pro & Farm	825,000$	82,500$	0$	No	825,000$			Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	23.41	192 Lbs	6 ft2	1.91	726,197$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Justin Dowling		Lucas Elvenes	40	1	2	2
2	Rudolfs Balcers	Nathan Schnarr	Nick Lappin	30	1	2	2
3	Carsen Twarynski	David Kase	Joseph Cramarossa	20	1	2	2
4	Jakob Stukel		Justin Dowling	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Gabriel Carlsson	40	1	2	2
2	Luke Witkowski	Jake Dotchin	30	1	2	2
3	Noah Juulsen	Brandon Hickey	20	1	2	2
4		Gabriel Carlsson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Justin Dowling		Lucas Elvenes	60	1	2	2
2	Rudolfs Balcers	Nathan Schnarr	Nick Lappin	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Gabriel Carlsson	60	1	2	2
2	Luke Witkowski	Jake Dotchin	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Justin Dowling	60	1	2	2
2	Lucas Elvenes	Rudolfs Balcers	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Gabriel Carlsson	60	1	2	2
2	Luke Witkowski	Jake Dotchin	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2		Gabriel Carlsson	60	1	2	2
2	Justin Dowling	40	1	2	2	Luke Witkowski	Jake Dotchin	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Justin Dowling	60	1	2	2
2	Lucas Elvenes	Rudolfs Balcers	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Gabriel Carlsson	60	1	2	2
2	Luke Witkowski	Jake Dotchin	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Justin Dowling		Lucas Elvenes		Gabriel Carlsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Justin Dowling		Lucas Elvenes		Gabriel Carlsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Carsen Twarynski, David Kase, Jakob Stukel	Carsen Twarynski, David Kase	Jakob Stukel

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Noah Juulsen, Brandon Hickey, Luke Witkowski	Noah Juulsen	Brandon Hickey, Luke Witkowski

Penalty Shots
, Justin Dowling, Lucas Elvenes, Rudolfs Balcers, Luke Witkowski

Goalie
#1 : Oscar Dansk, #2 : Joseph Woll

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	0	1	0	0	1	1	1	11	13	-2	2	0	0	0	0	1	0	1	5	7	-2	2	0	1	0	0	0	1	0	6	6	0	4	0.500	11	16	27	0	0	106	96	97	16	140	1075	1064	1020	105	146	55	36	101	9	1	11.11%	17	4	76.47%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
2	Baby Hawks	3	1	2	0	0	0	0	0	4	7	-3	2	1	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	0	2	-2	2	0.333	4	8	12	0	0	106	96	97	16	93	1075	1064	1020	105	133	40	24	85	11	1	9.09%	12	1	91.67%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
3	Bears	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	12	20	0	0	106	96	97	16	79	1075	1064	1020	105	81	24	16	46	8	3	37.50%	7	3	57.14%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
4	Bruins	2	1	0	0	0	0	1	0	7	5	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	0	1	0	5	4	1	4	1.000	7	11	18	0	0	106	96	97	16	72	1075	1064	1020	105	92	19	8	42	9	0	0.00%	3	0	100.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
5	Cabaret Lady Mary Ann	2	2	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	6	2	4	4	1.000	10	19	29	0	0	106	96	97	16	104	1075	1064	1020	105	102	31	58	71	2	1	50.00%	7	1	85.71%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
6	Caroline	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	13	21	0	0	106	96	97	16	80	1075	1064	1020	105	73	12	4	56	5	2	40.00%	1	0	100.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
7	Chiefs	3	1	0	0	0	0	2	0	14	7	7	2	1	0	0	0	0	1	0	11	5	6	1	0	0	0	0	0	1	0	3	2	1	6	1.000	14	20	34	0	0	106	96	97	16	96	1075	1064	1020	105	133	44	24	82	9	2	22.22%	12	1	91.67%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
8	Chill	3	3	0	0	0	0	0	0	11	7	4	1	1	0	0	0	0	0	0	3	1	2	2	2	0	0	0	0	0	0	8	6	2	6	1.000	11	19	30	0	0	106	96	97	16	91	1075	1064	1020	105	129	42	30	70	11	3	27.27%	15	2	86.67%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
9	Comets	4	2	1	0	0	0	1	0	18	14	4	2	0	1	0	0	0	1	0	9	10	-1	2	2	0	0	0	0	0	0	9	4	5	6	0.750	18	28	46	0	0	106	96	97	16	138	1075	1064	1020	105	149	38	32	81	16	7	43.75%	16	4	75.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
10	Cougars	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	0	4	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	5	8	13	0	1	106	96	97	16	74	1075	1064	1020	105	73	23	12	48	11	2	18.18%	5	3	40.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
11	Crunch	2	1	0	0	0	0	1	0	13	8	5	1	1	0	0	0	0	0	0	7	3	4	1	0	0	0	0	0	1	0	6	5	1	4	1.000	13	22	35	0	0	106	96	97	16	100	1075	1064	1020	105	93	14	14	49	4	0	0.00%	6	3	50.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
12	Heat	4	3	1	0	0	0	0	0	18	8	10	2	1	1	0	0	0	0	0	9	5	4	2	2	0	0	0	0	0	0	9	3	6	6	0.750	18	33	51	0	1	106	96	97	16	190	1075	1064	1020	105	119	35	20	107	11	0	0.00%	8	1	87.50%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
13	Jayhawks	5	3	2	0	0	0	0	0	16	11	5	3	2	1	0	0	0	0	0	11	7	4	2	1	1	0	0	0	0	0	5	4	1	6	0.600	16	29	45	0	0	106	96	97	16	215	1075	1064	1020	105	158	61	38	114	20	3	15.00%	17	2	88.24%	1	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
14	Manchots	2	0	0	0	0	1	0	1	8	10	-2	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	1	0	0	5	6	-1	2	0.500	8	14	22	0	0	106	96	97	16	63	1075	1064	1020	105	81	21	20	40	10	1	10.00%	10	3	70.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
15	Marlies	2	0	0	0	1	0	0	1	6	6	0	1	0	0	0	1	0	0	0	3	2	1	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	6	11	17	0	0	106	96	97	16	61	1075	1064	1020	105	68	18	24	38	6	2	33.33%	11	1	90.91%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
16	Minnesota	3	3	0	0	0	0	0	0	16	6	10	1	1	0	0	0	0	0	0	6	1	5	2	2	0	0	0	0	0	0	10	5	5	6	1.000	16	28	44	0	0	106	96	97	16	199	1075	1064	1020	105	95	31	6	83	9	2	22.22%	2	0	100.00%	1	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
17	Monarchs	4	2	1	0	0	0	1	0	15	13	2	2	2	0	0	0	0	0	0	8	4	4	2	0	1	0	0	0	1	0	7	9	-2	6	0.750	15	25	40	0	0	106	96	97	16	161	1075	1064	1020	105	199	58	34	104	5	1	20.00%	16	1	93.75%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
18	Monsters	2	1	0	0	0	0	1	0	11	8	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	1	0	7	6	1	4	1.000	11	19	30	0	0	106	96	97	16	70	1075	1064	1020	105	81	22	12	62	6	2	33.33%	6	2	66.67%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
19	Monsters	3	1	2	0	0	0	0	0	8	10	-2	2	1	1	0	0	0	0	0	6	6	0	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	8	15	23	1	0	106	96	97	16	97	1075	1064	1020	105	109	31	22	75	10	1	10.00%	10	0	100.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
20	Oceanics	3	1	1	0	0	0	0	1	8	8	0	1	1	0	0	0	0	0	0	3	1	2	2	0	1	0	0	0	0	1	5	7	-2	3	0.500	8	16	24	0	0	106	96	97	16	109	1075	1064	1020	105	146	28	29	70	13	3	23.08%	11	1	90.91%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
21	Oil Kings	4	2	2	0	0	0	0	0	12	14	-2	2	1	1	0	0	0	0	0	6	7	-1	2	1	1	0	0	0	0	0	6	7	-1	4	0.500	12	21	33	0	0	106	96	97	16	133	1075	1064	1020	105	173	51	30	105	12	3	25.00%	15	1	93.33%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
22	Phantoms	2	1	1	0	0	0	0	0	9	8	1	1	0	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	5	3	2	2	0.500	9	15	24	0	0	106	96	97	16	69	1075	1064	1020	105	57	11	18	52	12	2	16.67%	4	1	75.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
23	Rocket	2	1	0	0	0	0	0	1	8	6	2	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	0	0	1	4	5	-1	3	0.750	8	15	23	0	0	106	96	97	16	84	1075	1064	1020	105	74	19	15	45	8	2	25.00%	5	1	80.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
24	Senators	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	4	7	11	0	0	106	96	97	16	55	1075	1064	1020	105	85	22	28	43	8	3	37.50%	14	3	78.57%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
25	Sharks	4	3	1	0	0	0	0	0	18	10	8	2	2	0	0	0	0	0	0	10	3	7	2	1	1	0	0	0	0	0	8	7	1	6	0.750	18	28	46	0	0	106	96	97	16	227	1075	1064	1020	105	147	31	18	122	4	0	0.00%	9	1	88.89%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
26	Sound Tigers	2	0	1	0	0	0	0	1	6	9	-3	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	6	10	16	0	0	106	96	97	16	68	1075	1064	1020	105	71	29	16	59	5	1	20.00%	8	0	100.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
27	Spiders	2	1	1	0	0	0	0	0	7	8	-1	1	0	1	0	0	0	0	0	2	4	-2	1	1	0	0	0	0	0	0	5	4	1	2	0.500	7	13	20	0	0	106	96	97	16	64	1075	1064	1020	105	90	19	14	50	6	1	16.67%	7	1	85.71%	1	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
28	Stars	3	1	1	0	0	0	1	0	12	11	1	1	1	0	0	0	0	0	0	5	4	1	2	0	1	0	0	0	1	0	7	7	0	4	0.667	12	21	33	0	0	106	96	97	16	95	1075	1064	1020	105	128	27	22	80	6	3	50.00%	10	3	70.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
29	Thunder	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	1	4	4	1.000	9	17	26	0	0	106	96	97	16	92	1075	1064	1020	105	56	25	15	46	6	3	50.00%	5	1	80.00%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
	Total	82	42	21	0	1	2	10	6	310	243	67	41	25	9	0	1	1	2	3	154	105	49	41	17	12	0	0	1	8	3	156	138	18	114	0.695	310	529	839	1	2	106	96	97	16	3210	1075	1064	1020	105	3195	899	653	2059	254	55	21.65%	276	46	83.33%	3	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
30	Wolf Pack	2	1	0	0	0	0	1	0	10	5	5	1	1	0	0	0	0	0	0	6	2	4	1	0	0	0	0	0	1	0	4	3	1	4	1.000	10	16	26	0	0	106	96	97	16	91	1075	1064	1020	105	54	18	14	33	2	0	0.00%	7	1	85.71%	0	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
	_Since Last GM Reset	82	42	21	0	1	2	10	6	310	243	67	41	25	9	0	1	1	2	3	154	105	49	41	17	12	0	0	1	8	3	156	138	18	114	0.695	310	529	839	1	2	106	96	97	16	3210	1075	1064	1020	105	3195	899	653	2059	254	55	21.65%	276	46	83.33%	3	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
	_Vs Conference	42	24	12	0	0	0	5	1	162	117	45	22	14	6	0	0	0	2	0	89	58	31	20	10	6	0	0	0	3	1	73	59	14	59	0.702	162	280	442	1	2	106	96	97	16	1698	1075	1064	1020	105	1612	457	321	1081	134	29	21.64%	126	21	83.33%	2	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540
	_Vs Division	29	6	3	0	0	0	2	0	108	83	25	15	4	1	0	0	0	1	0	58	43	15	14	2	2	0	0	0	1	0	50	40	10	16	0.276	108	180	288	0	1	106	96	97	16	1204	1075	1064	1020	105	1091	329	208	734	77	15	19.48%	98	14	85.71%	1	1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%	2014	1399	1926	598	1070	540

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	114	W3	310	529	839	3210	3195	899	653	2059	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	42	21	1	2	10	6	310	243

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	25	9	1	1	2	3	154	105

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	17	12	0	1	8	3	156	138

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	3	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
254	55	21.65%	276	46	83.33%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
1075	1064	1020	105	106	96	97	16

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1499	2944	50.92%	1559	3174	49.12%	663	1352	49.04%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
2014	1399	1926	598	1070	540

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2020-10-22	4	Sharks	2	Las Vegas	8	W			BoxScore
3 - 2020-10-24	17	Las Vegas	6	Sharks	3	W			BoxScore
7 - 2020-10-28	43	Bruins	1	Las Vegas	2	W			BoxScore
9 - 2020-10-30	57	Las Vegas	4	Jayhawks	2	W			BoxScore
11 - 2020-11-01	74	Heat	0	Las Vegas	5	W			BoxScore
12 - 2020-11-02	76	Las Vegas	5	Monarchs	4	W	X	X	BoxScore
14 - 2020-11-04	90	Chill	1	Las Vegas	3	W			BoxScore
16 - 2020-11-06	105	Senators	4	Las Vegas	2	L			BoxScore
18 - 2020-11-08	119	Las Vegas	5	Manchots	6	L	X		BoxScore
20 - 2020-11-10	130	Las Vegas	5	Phantoms	3	W			BoxScore
21 - 2020-11-11	141	Las Vegas	0	Baby Hawks	2	L			BoxScore
24 - 2020-11-14	155	Monsters	1	Las Vegas	3	W			BoxScore
26 - 2020-11-16	176	Admirals	3	Las Vegas	2	L	X	X	BoxScore
30 - 2020-11-20	195	Rocket	1	Las Vegas	4	W			BoxScore
32 - 2020-11-22	215	Oceanics	1	Las Vegas	3	W			BoxScore
35 - 2020-11-25	227	Las Vegas	7	Monsters	6	W	X	X	BoxScore
37 - 2020-11-27	237	Las Vegas	3	Marlies	4	L	X	X	BoxScore
39 - 2020-11-29	258	Las Vegas	5	Bears	3	W			BoxScore
40 - 2020-11-30	266	Las Vegas	1	Cougars	6	L			BoxScore
43 - 2020-12-03	285	Baby Hawks	3	Las Vegas	0	L			BoxScore
46 - 2020-12-06	312	Las Vegas	2	Monarchs	5	L			BoxScore
47 - 2020-12-07	315	Heat	5	Las Vegas	4	L			BoxScore
49 - 2020-12-09	329	Marlies	2	Las Vegas	3	W	X		BoxScore
51 - 2020-12-11	344	Sharks	1	Las Vegas	2	W			BoxScore
53 - 2020-12-13	360	Oil Kings	4	Las Vegas	1	L			BoxScore
55 - 2020-12-15	371	Las Vegas	5	Stars	4	W	X	X	BoxScore
57 - 2020-12-17	385	Las Vegas	3	Chill	2	W			BoxScore
59 - 2020-12-19	399	Jayhawks	1	Las Vegas	6	W			BoxScore
62 - 2020-12-22	420	Las Vegas	4	Wolf Pack	3	W	X	X	BoxScore
63 - 2020-12-23	427	Las Vegas	5	Spiders	4	W			BoxScore
65 - 2020-12-25	441	Las Vegas	3	Sound Tigers	5	L			BoxScore
68 - 2020-12-28	465	Wolf Pack	2	Las Vegas	6	W			BoxScore
70 - 2020-12-30	482	Baby Hawks	2	Las Vegas	4	W			BoxScore
72 - 2021-01-01	492	Las Vegas	3	Chiefs	2	W	X	X	BoxScore
73 - 2021-01-02	499	Las Vegas	2	Stars	3	L			BoxScore
75 - 2021-01-04	518	Comets	4	Las Vegas	5	W	X	X	BoxScore
77 - 2021-01-06	533	Minnesota	1	Las Vegas	6	W			BoxScore
79 - 2021-01-08	547	Las Vegas	3	Comets	1	W			BoxScore
82 - 2021-01-11	568	Las Vegas	2	Sharks	4	L			BoxScore
83 - 2021-01-12	580	Monsters	5	Las Vegas	3	L			BoxScore
87 - 2021-01-16	591	Las Vegas	4	Admirals	3	W	X	X	BoxScore
88 - 2021-01-17	600	Jayhawks	5	Las Vegas	2	L			BoxScore
91 - 2021-01-20	615	Admirals	4	Las Vegas	3	L	X		BoxScore
93 - 2021-01-22	638	Phantoms	5	Las Vegas	4	L			BoxScore
95 - 2021-01-24	644	Chiefs	1	Las Vegas	6	W			BoxScore
98 - 2021-01-27	673	Manchots	4	Las Vegas	3	L	X	X	BoxScore
100 - 2021-01-29	686	Monarchs	2	Las Vegas	4	W			BoxScore
102 - 2021-01-31	700	Monsters	2	Las Vegas	4	W			BoxScore
105 - 2021-02-03	714	Las Vegas	6	Crunch	5	W	X	X	BoxScore
107 - 2021-02-05	734	Las Vegas	2	Senators	5	L			BoxScore
109 - 2021-02-07	748	Las Vegas	4	Rocket	5	L	X	X	BoxScore
112 - 2021-02-10	761	Las Vegas	5	Bruins	4	W	X	X	BoxScore
122 - 2021-02-20	788	Las Vegas	5	Caroline	3	W			BoxScore
123 - 2021-02-21	801	Las Vegas	5	Chill	4	W			BoxScore
126 - 2021-02-24	814	Las Vegas	5	Thunder	1	W			BoxScore
128 - 2021-02-26	830	Las Vegas	6	Cabaret Lady Mary Ann	2	W			BoxScore
130 - 2021-02-28	854	Caroline	2	Las Vegas	3	W			BoxScore
133 - 2021-03-03	871	Las Vegas	5	Minnesota	3	W			BoxScore
135 - 2021-03-05	889	Chiefs	4	Las Vegas	5	W	X	X	BoxScore
137 - 2021-03-07	905	Sound Tigers	4	Las Vegas	3	L	X	X	BoxScore
139 - 2021-03-09	918	Bears	2	Las Vegas	3	W			BoxScore
142 - 2021-03-12	939	Thunder	1	Las Vegas	4	W			BoxScore
144 - 2021-03-14	957	Cabaret Lady Mary Ann	2	Las Vegas	4	W			BoxScore
145 - 2021-03-15	965	Las Vegas	2	Admirals	3	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
148 - 2021-03-18	982	Oil Kings	3	Las Vegas	5	W			BoxScore
150 - 2021-03-20	997	Crunch	3	Las Vegas	7	W			BoxScore
152 - 2021-03-22	1016	Monarchs	2	Las Vegas	4	W			BoxScore
154 - 2021-03-24	1027	Spiders	4	Las Vegas	2	L			BoxScore
157 - 2021-03-27	1045	Las Vegas	2	Oceanics	3	L			BoxScore
159 - 2021-03-29	1061	Las Vegas	5	Heat	2	W			BoxScore
160 - 2021-03-30	1068	Las Vegas	2	Oil Kings	5	L			BoxScore
163 - 2021-04-02	1089	Las Vegas	5	Minnesota	2	W			BoxScore
166 - 2021-04-05	1110	Las Vegas	2	Monsters	4	L			BoxScore
168 - 2021-04-07	1130	Stars	4	Las Vegas	5	W			BoxScore
169 - 2021-04-08	1135	Las Vegas	1	Jayhawks	2	L			BoxScore
172 - 2021-04-11	1160	Cougars	0	Las Vegas	4	W			BoxScore
174 - 2021-04-13	1175	Comets	6	Las Vegas	4	L			BoxScore
176 - 2021-04-15	1190	Jayhawks	1	Las Vegas	3	W			BoxScore
180 - 2021-04-19	1218	Las Vegas	3	Oceanics	4	L	X	X	BoxScore
182 - 2021-04-21	1237	Las Vegas	4	Oil Kings	2	W			BoxScore
184 - 2021-04-23	1252	Las Vegas	4	Heat	1	W			BoxScore
186 - 2021-04-25	1268	Las Vegas	6	Comets	3	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	40	20
Attendance	61,381	27,013
Attendance PCT	74.85%	65.89%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2156 - 71.87%	73,061$	2,995,500$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,699,962$	1,597,634$	1,597,634$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
8,589$	1,699,962$	22	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	8,589$	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