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#	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	Lucas Ciona (R)		X			100.00	59	55	64	74	71	82	95	76	72	72	67	59	70	50	50	90	40	67	0
2	Jordan Dumais (R)			X		100.00	50	46	96	75	71	84	95	79	72	72	72	55	76	46	46	95	40	67	0
3	Morgan Barron (R)	X	X	X		100.00	82	56	86	72	83	65	80	61	39	65	60	79	75	52	52	68	40	65	0
4	Nicholas Robertson		X			100.00	77	42	99	74	58	58	51	68	56	65	64	70	25	46	46	68	40	62	0
5	Jakob Pelletier (R)		X			100.00	67	41	97	63	59	67	79	76	33	63	64	61	25	46	46	66	40	61	0
6	Vasili Ponomaryov (R)	X				100.00	71	65	85	67	65	71	73	64	80	59	65	63	62	44	44	65	40	61	0
7	Hunter McKown (R)	X				100.00	75	43	85	65	68	61	49	76	80	63	55	64	25	45	45	62	40	60	0
8	Connor Zary (R)	X				100.00	68	65	76	58	65	76	79	64	80	63	61	61	58	44	44	63	40	60	0
9	Cole Schwindt (R)	X		X		100.00	74	69	87	61	69	82	89	58	73	53	58	63	55	44	44	62	40	60	0
10	Mathias Emilio Pettersen (R)	X				100.00	69	63	83	64	63	73	76	63	79	60	62	61	59	44	44	64	40	60	0
11	Grigori Denisenko (R)		X	X		100.00	76	43	92	78	64	55	69	58	25	63	55	61	25	46	46	62	40	59	0
12	Justin Sourdif (R)	X				100.00	68	63	81	65	63	65	67	58	73	58	54	60	51	44	44	59	40	58	0
13	Matthew Coronato (R)			X		100.00	51	46	87	69	69	63	74	57	25	45	59	67	62	54	54	90	40	58	0
14	Stanislav Svovil (R)				X	100.00	53	48	97	71	71	78	95	67	25	73	48	73	50	50	50	90	40	66	0
15	Isaak Phillips (R)				X	100.00	82	87	90	64	74	67	83	59	25	59	48	80	25	45	45	64	40	65	0
16	Nick DeSimone (R)				X	100.00	76	72	84	63	72	79	85	56	25	54	43	63	41	44	44	57	40	61	0
17	Jeremie Poirier (R)				X	100.00	74	72	79	67	72	80	86	56	25	52	46	62	44	44	44	58	40	61	0
18	Ilya Solovyov (R)				X	100.00	79	77	83	64	77	70	76	48	25	39	41	63	39	44	44	53	40	59	0
19	Yan Kuznetsov (R)				X	100.00	80	78	85	67	78	55	57	49	25	41	41	63	39	44	44	54	40	58	0
Scratches
1	Martin Pospisil (R)			X		100.00	68	69	67	63	69	55	55	59	50	56	58	60	55	44	44	60	40	57	0
2	John Ludvig (R)				X	100.00	71	74	64	65	74	50	51	50	25	44	41	59	39	44	44	51	40	55	0

	TEAM AVERAGE					100.00	70	61	84	67	69	68	74	62	48	58	55	64	48	46	46	67	40	61

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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.
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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	Matthew Murray (R)	100.00	55	40	50	60	59	55	60	63	60	60	30	44	44	56	40	55	0
2	Oscar Dansk (R)	100.00	52	44	55	81	55	52	53	58	54	54	30	44	44	53	40	55	0
Scratches
1	Isaac Poulter (R)	100.00	48	54	68	67	45	47	50	54	47	48	30	44	44	49	40	51	0

	TEAM AVERAGE	100.00	52	46	58	69	53	51	54	58	54	54	30	44	44	53	40	54

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

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	HT	P/20	FW	FL	FT	S1	S2	S3
1	Jordan Dumais	Wranglers (CGY)	RW	14	29	28	57	0	0	0	4	11	78	24	50	37.18%	6	358	25.60	7	7	14	13	49	3	3	6	7	55	1	0	50.47%	107	63	4	5	3.18	0	0	0	4	0	2
2	Lucas Ciona	Wranglers (CGY)	LW	14	22	17	39	2	26	0	21	12	63	23	34	34.92%	8	294	21.04	6	4	10	14	51	3	1	4	4	47	3	0	50.00%	22	26	7	2	2.65	0	0	0	0	3	0
3	Nicholas Robertson	Wranglers (CGY)	LW	14	15	17	32	-20	0	0	21	21	63	30	45	23.81%	7	265	18.99	3	6	9	11	47	0	0	0	1	12	0	1	27.27%	11	51	7	3	2.41	0	0	0	0	1	1
4	Vasili Ponomaryov	Wranglers (CGY)	C	14	16	15	31	-19	8	0	21	17	78	23	43	20.51%	5	252	18.01	7	3	10	20	47	0	0	0	0	0	1	0	53.31%	242	24	7	1	2.46	0	0	0	0	0	2
5	Morgan Barron	Wranglers (CGY)	C/LW/RW	14	7	15	22	0	2	0	25	26	27	7	21	25.93%	10	259	18.54	2	2	4	3	52	0	0	0	2	15	0	1	35.42%	288	3	14	0	1.70	0	0	0	0	0	1
6	Isaak Phillips	Wranglers (CGY)	D	14	0	17	17	-6	44	40	36	33	24	12	18	0.00%	26	357	25.55	0	2	2	5	51	0	1	1	0	46	0	0	0.00%	0	0	31	0	0.95	3	2	3	0	0	1
7	Jakob Pelletier	Wranglers (CGY)	LW	14	4	9	13	-8	2	0	11	16	40	12	41	10.00%	7	202	14.44	0	0	0	0	0	0	1	1	0	20	0	0	36.36%	11	19	3	0	1.29	0	0	0	0	0	0
8	Nick DeSimone	Wranglers (CGY)	D	14	0	12	12	-7	43	25	16	20	16	5	13	0.00%	19	276	19.75	0	3	3	5	39	0	1	1	2	24	0	0	0.00%	0	3	10	0	0.87	0	0	5	0	0	0
9	Mathias Emilio Pettersen	Wranglers (CGY)	C	14	6	5	11	-8	10	0	15	11	16	7	13	37.50%	6	179	12.85	0	0	0	0	0	0	0	0	0	0	0	0	49.17%	120	11	0	0	1.22	0	0	0	0	0	0
10	Stanislav Svovil	Wranglers (CGY)	D	14	1	10	11	-8	2	0	4	19	22	17	12	4.55%	26	390	27.87	0	5	5	3	58	0	0	0	0	51	0	0	0.00%	0	2	28	0	0.56	0	0	0	0	0	0
11	Grigori Denisenko	Wranglers (CGY)	LW/RW	14	3	6	9	-8	0	0	18	11	21	5	16	14.29%	3	180	12.86	0	0	0	0	0	0	0	0	0	0	0	0	42.86%	7	28	5	0	1.00	0	0	0	0	0	0
12	Connor Zary	Wranglers (CGY)	C	14	3	5	8	-6	10	0	6	4	7	6	5	42.86%	3	78	5.60	0	0	0	0	0	0	0	0	0	0	0	0	40.00%	40	2	1	0	2.04	0	0	0	0	0	0
13	Cole Schwindt	Wranglers (CGY)	C/RW	14	4	4	8	-20	14	0	23	10	20	7	10	20.00%	3	251	17.99	1	1	2	2	47	0	0	0	0	0	0	0	62.50%	16	0	7	0	0.64	0	0	0	0	0	0
14	Jeremie Poirier	Wranglers (CGY)	D	14	1	5	6	-9	51	25	14	12	17	5	10	5.88%	20	277	19.79	0	4	4	3	42	0	0	0	1	20	0	0	0.00%	0	1	9	0	0.43	1	2	2	0	0	0
15	Ilya Solovyov	Wranglers (CGY)	D	14	0	3	3	-22	21	5	18	13	9	6	6	0.00%	11	203	14.56	0	0	0	1	9	0	0	0	0	0	0	0	0.00%	0	0	10	0	0.29	0	0	1	0	0	0
16	Yan Kuznetsov	Wranglers (CGY)	D	14	0	2	2	-11	19	15	8	8	9	4	3	0.00%	10	177	12.68	0	0	0	0	0	0	0	0	0	12	0	0	0.00%	0	2	12	0	0.23	0	1	2	0	0	0
17	Hunter McKown	Wranglers (CGY)	C	14	0	1	1	-3	0	0	3	2	2	1	1	0.00%	0	30	2.19	0	0	0	0	3	0	0	0	0	2	0	0	0.00%	0	0	0	0	0.65	0	0	0	0	0	0
18	Justin Sourdif	Wranglers (CGY)	C	14	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	2	0.16	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0.00	0	0	0	0	0	0
19	Matthew Coronato	Wranglers (CGY)	RW	14	0	0	0	-6	0	0	3	5	2	1	4	0.00%	3	77	5.56	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	3	0	3	0	0.00	0	0	0	0	0	0
Team Total or Average				266	111	171	282	-159	252	110	267	251	514	195	345	21.60%	173	4116	15.48	26	37	63	80	501	6	7	13	17	306	5	2	45.21%	867	235	158	11	1.37	4	5	13	4	4	7

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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	PCT	GAA	MP	PIM	GA	SA	SAR	A	ST	BG
1	Oscar Dansk	Wranglers (CGY)	14	5	5	0.743	10.09	678	2	114	444	261	3	14	0
2	Matthew Murray	Wranglers (CGY)	9	0	4	0.615	13.79	161	0	37	96	41	0	0	14
Team Total or Average			23	5	9	0.720	10.79	840	2	151	540	302	3	14	14

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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	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
Cole Schwindt	C/RW	22	2001-04-25	Yes	182 Lbs	6 ft2	No	No	No	2	ELC	Farm Only	910,833$	0$	0$	No	Link
Connor Zary	C	22	2001-09-25	Yes	178 Lbs	6 ft0	No	No	No	3	ELC	Farm Only	1,005,000$	0$	0$	No	Link
Grigori Denisenko	LW/RW	23	2000-06-24	Yes	175 Lbs	5 ft11	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Hunter McKown	C	21	2002-08-18	Yes	183 Lbs	6 ft1	No	No	No	3	ELC	Farm Only	1,366,667$	0$	0$	No	Link
Ilya Solovyov	D	23	2000-07-20	Yes	208 Lbs	6 ft3	No	No	No	2	RFA	Farm Only	828,333$	0$	0$	No	Link
Isaac Poulter	G	22	2001-09-12	Yes	174 Lbs	6 ft2	No	No	No	1	ELC	Farm Only	500,000$	0$	0$	No	Link
Isaak Phillips	D	22	2001-09-28	Yes	193 Lbs	6 ft2	No	No	No	2	ELC	Farm Only	925,000$	0$	0$	No	Link
Jakob Pelletier	LW	22	2001-03-07	Yes	165 Lbs	5 ft9	No	No	No	2	ELC	Farm Only	863,333$	0$	0$	No	Link
Jeremie Poirier	D	21	2002-02-06	Yes	196 Lbs	6 ft1	No	No	No	3	ELC	Farm Only	833,333$	0$	0$	No	Link
John Ludvig	D	23	2000-02-08	Yes	201 Lbs	6 ft1	No	No	No	1	RFA	Farm Only	925,000$	0$	0$	No	Link
Jordan Dumais	RW	19	2004-04-15 12:51:09 PM	Yes	180 Lbs	6 ft5	No	No	No	1	ELC	Farm Only		0$	0$	No
Justin Sourdif	C	21	2002-03-24	Yes	173 Lbs	5 ft11	No	No	No	3	ELC	Farm Only	902,500$	0$	0$	No	Link
Lucas Ciona	LW	20	2003-01-08 12:48:40 PM	Yes	180 Lbs	6 ft5	No	No	No	1	ELC	Farm Only		0$	0$	No
Martin Pospisil	RW	23	1999-11-19	Yes	181 Lbs	6 ft2	No	No	No	1	RFA	Farm Only	750,000$	0$	0$	No	Link
Mathias Emilio Pettersen	C	23	2000-03-04	Yes	175 Lbs	5 ft10	No	No	No	1	RFA	Farm Only	925,000$	0$	0$	No	Link
Matthew Coronato	RW	25	1998-08-17 6:59:45 PM	Yes	180 Lbs	6 ft5	No	No	No	3	RFA	Farm Only		0$	0$	No
Matthew Murray	G	25	1998-02-02	Yes	170 Lbs	6 ft0	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Morgan Barron	C/LW/RW	24	1998-12-02	Yes	220 Lbs	6 ft4	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Nicholas Robertson	LW	22	2001-09-11	No	162 Lbs	5 ft9	No	No	No	2	ELC	Farm Only	796,667$	0$	0$	No	Link
Nick DeSimone	D	28	1994-11-21	Yes	190 Lbs	6 ft2	No	No	No	2	UFA	Farm Only	762,500$	0$	0$	No	Link
Oscar Dansk	G	29	1994-02-28	Yes	204 Lbs	6 ft3	No	No	No	1	UFA	Farm Only	750,000$	0$	0$	No	Link
Stanislav Svovil	D	20	2003-01-17 12:53:49 PM	Yes	180 Lbs	6 ft5	No	No	No	1	ELC	Farm Only		0$	0$	No
Vasili Ponomaryov	C	21	2002-03-13	Yes	181 Lbs	5 ft10	No	No	No	1	ELC	Farm Only	500,000$	0$	0$	No	Link
Yan Kuznetsov	D	21	2002-03-09	Yes	209 Lbs	6 ft4	No	No	No	2	ELC	Farm Only	894,167$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	22.58	185 Lbs	6 ft1	1.71	601,597$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Lucas Ciona	Morgan Barron	Jordan Dumais	40	1	2	2
2	Nicholas Robertson	Vasili Ponomaryov	Cole Schwindt	30	1	2	2
3	Jakob Pelletier	Mathias Emilio Pettersen	Grigori Denisenko	20	1	2	2
4	Jordan Dumais	Connor Zary	Matthew Coronato	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Stanislav Svovil	Isaak Phillips	40	1	2	2
2	Nick DeSimone	Jeremie Poirier	30	1	2	2
3	Ilya Solovyov	Yan Kuznetsov	20	1	2	2
4	Stanislav Svovil	Isaak Phillips	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Lucas Ciona	Morgan Barron	Jordan Dumais	60	1	2	2
2	Nicholas Robertson	Vasili Ponomaryov	Cole Schwindt	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Stanislav Svovil	Isaak Phillips	60	1	2	2
2	Nick DeSimone	Jeremie Poirier	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jordan Dumais	Lucas Ciona	60	1	2	2
2	Morgan Barron	Nicholas Robertson	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Stanislav Svovil	Isaak Phillips	60	1	2	2
2	Nick DeSimone	Jeremie Poirier	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jordan Dumais	60	1	2	2	Stanislav Svovil	Isaak Phillips	60	1	2	2
2	Lucas Ciona	40	1	2	2	Nick DeSimone	Jeremie Poirier	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jordan Dumais	Lucas Ciona	60	1	2	2
2	Morgan Barron	Nicholas Robertson	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Stanislav Svovil	Isaak Phillips	60	1	2	2
2	Nick DeSimone	Jeremie Poirier	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Lucas Ciona	Morgan Barron	Jordan Dumais	Stanislav Svovil	Isaak Phillips

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Lucas Ciona	Morgan Barron	Jordan Dumais	Stanislav Svovil	Isaak Phillips

Extra Forwards
Normal	PowerPlay	Penalty Kill
Hunter McKown, Justin Sourdif, Jakob Pelletier	Hunter McKown, Justin Sourdif	Jakob Pelletier

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ilya Solovyov, Yan Kuznetsov, Nick DeSimone	Ilya Solovyov	Yan Kuznetsov, Nick DeSimone

Penalty Shots
Jordan Dumais, Lucas Ciona, Morgan Barron, Nicholas Robertson, Vasili Ponomaryov

Goalie
#1 : Oscar Dansk, #2 : Matthew Murray

Custom OT Lines Forwards
Jordan Dumais, Lucas Ciona, Morgan Barron, Nicholas Robertson, Vasili Ponomaryov, Jakob Pelletier, Jakob Pelletier, Mathias Emilio Pettersen, Cole Schwindt, Connor Zary, Hunter McKown

Custom OT Lines Defensemen
Stanislav Svovil, Isaak Phillips, Nick DeSimone, Jeremie Poirier, Ilya Solovyov

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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

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
14	10	L4	111	171	282	514	540	173	254	267	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	5	9	0	0	0	0	111	151

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	2	5	0	0	0	0	52	74

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	59	77

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	8	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
71	26	36.62%	67	35	47.76%	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
209	136	169	0	66	23	22	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
120	258	46.51%	116	257	45.14%	156	352	44.32%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
328	215	303	108	208	104

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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	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2023-09-28	1	Silver Knights	12	Wranglers	9	L	BoxScore
3 - 2023-09-30	30	Wranglers	11	Roadrunners	8	W	BoxScore
4 - 2023-10-01	37	Wranglers	10	Condors	8	W	BoxScore
6 - 2023-10-03	49	Roadrunners	9	Wranglers	11	W	BoxScore
7 - 2023-10-04	67	Reign	14	Wranglers	3	L	BoxScore
9 - 2023-10-06	87	Wranglers	8	Barracuda	14	L	BoxScore
10 - 2023-10-07	98	Wranglers	10	Reign	8	W	BoxScore
12 - 2023-10-09	114	Gulls	12	Wranglers	9	L	BoxScore
15 - 2023-10-12	133	Wranglers	7	Gulls	10	L	BoxScore
16 - 2023-10-13	148	Barracuda	9	Wranglers	16	W	BoxScore
18 - 2023-10-15	157	Wranglers	5	Silver Knights	16	L	BoxScore
20 - 2023-10-17	180	Condors	11	Wranglers	3	L	BoxScore
22 - 2023-10-19	196	Wranglers	8	Canucks	13	L	BoxScore
26 - 2023-10-23	222	Canucks	7	Wranglers	1	L	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,443,833$	1,443,833$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

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	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
6	14	5	9	0	0	0	0	0	111	151	-40	7	2	5	0	0	0	0	0	52	74	-22	7	3	4	0	0	0	0	0	59	77	-18	10	111	171	282	0	0	66	23	22	0	514	209	136	169	0	540	173	254	267	71	26	36.62%	67	35	47.76%	6	120	258	46.51%	116	257	45.14%	156	352	44.32%	328	215	303	108	208	104
Total Regular Season	14	5	9	0	0	0	0	0	111	151	-40	7	2	5	0	0	0	0	0	52	74	-22	7	3	4	0	0	0	0	0	59	77	-18	10	111	171	282	0	0	66	23	22	0	514	209	136	169	0	540	173	254	267	71	26	36.62%	67	35	47.76%	6	120	258	46.51%	116	257	45.14%	156	352	44.32%	328	215	303	108	208	104