LHS - Ligue de Hockey Simule

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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	Adam Klapka	43			X		100.00	88	57	66	64	99	84	85	63	65	60	66	67	64	66	67	0	75	66	0
2	Zack MacEwen	0	X		X		100.00	82	80	65	63	92	78	75	61	65	60	62	61	57	70	72	0	75	64	0
3	Dylan Roobroeck	0	X	X			100.00	88	53	81	59	97	77	73	57	62	56	61	58	60	62	63	0	75	62	0
4	Bogdan Trineyev	0		X	X		100.00	74	39	90	57	83	80	83	56	52	54	58	59	57	63	65	0	75	61	0
5	Jaroslav Chmelar	0		X	X		100.00	77	41	79	58	86	79	74	56	57	59	58	56	59	62	64	0	75	61	0
6	Pierrick Dube	0			X		100.00	60	37	75	62	64	89	84	61	63	59	61	58	62	64	66	0	75	61	0
7	Chase Wheatcroft (R)	0	X	X			100.00	70	39	85	57	79	72	81	56	65	58	55	59	56	63	65	0	75	60	0
8	Dylan Peterson (R)	0	X		X		100.00	76	44	63	59	85	82	69	56	65	57	58	55	59	63	65	0	75	60	0
9	Jagger Firkus (R)	0			X		100.00	62	36	91	61	64	81	72	58	63	60	59	56	62	61	65	0	75	60	0
10	Maros Jedlicka	0	X	X	X		100.00	70	38	93	55	79	63	62	54	61	53	57	56	60	63	65	0	75	59	0
11	Sam Lipkin (R)	0		X			100.00	70	40	83	57	79	71	72	56	54	55	55	58	56	62	64	0	75	59	0
12	Ian Moore	0				X	100.00	71	39	94	63	84	80	61	62	30	64	58	60	51	63	65	0	75	63	0
13	Domenick Fensore (R)	0				X	100.00	64	37	83	60	64	87	80	59	30	58	56	63	49	64	66	0	75	61	0
14	Topias Vilen (R)	0				X	100.00	67	38	90	60	76	65	81	58	30	64	52	57	46	62	64	0	75	61	0
15	Cole Clayton	0				X	100.00	73	40	82	59	82	64	83	58	30	57	53	56	45	65	67	0	75	60	0
16	Wyatte Wylie (R)	0				X	100.00	66	38	91	58	72	67	79	57	30	56	54	55	46	66	68	0	75	60	0
17	Braden Hache	0				X	100.00	77	51	50	56	86	64	65	54	30	57	55	59	47	62	64	0	75	59	0
Scratches
1	Aatu Raty (R)	54	X				70.31	73	39	85	65	78	80	88	63	83	64	65	61	66	63	65	0	75	65	0
2	Chase Bradley	0	X	X			100.00	58	38	78	59	68	73	71	56	54	58	59	57	56	63	65	0	75	59	0
3	Jeremie Biakabutuka	0				X	100.00	77	39	91	54	86	61	62	53	30	52	50	56	45	63	65	0	75	58	0

	TEAM AVERAGE					98.52	72	43	81	59	80	75	75	58	51	58	58	58	55	64	66	0	75	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
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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
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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	Erik Portillo (R)	100.00	77	83	79	96	76	75	77	76	75	77	76	65	73	0	75	67	0
2	Domenic DiVincentiis (R)	100.00	74	76	73	79	73	72	74	73	72	74	73	61	65	0	75	64	0
Scratches
1	Aleksei Kolosov (R)	100.00	74	77	73	74	73	72	74	73	72	74	73	63	69	0	75	64	0

	TEAM AVERAGE	100.00	75	79	75	83	74	73	75	74	73	75	74	63	69	0	75	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Halpern	65	71	79	65	73	68	77	USA	49	1	700,000$

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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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Zack MacEwen	Wild (MIN)	C/RW	50	19	38	57	15	60	10	153	160	191	66	135	9.95%	12	1001	20.02	3	12	15	27	95	0	0	0	5	69	3	2	55.58%	1317	0	0	1.14	0	3	1	0	1	2	5	2
2	Pierrick Dube	Wild (MIN)	RW	50	21	30	51	22	4	0	15	81	189	52	109	11.11%	10	908	18.17	5	4	9	29	96	0	0	0	0	0	3	1	50.00%	74	0	0	1.12	1	2	0	0	0	1	6	4
3	Topias Vilen	Wild (MIN)	D	50	7	38	45	6	32	0	93	54	55	21	38	12.73%	74	1177	23.54	3	9	12	21	96	0	0	0	1	158	1	0	60.00%	5	0	0	0.76	0	2	0	0	0	0	0	2
4	Aatu Raty	Wild (MIN)	C	41	17	27	44	14	2	0	14	132	181	43	146	9.39%	14	882	21.54	2	8	10	30	83	1	1	2	4	178	5	2	62.35%	1211	0	1	1.00	0	1	0	0	0	1	2	3
5	Jaroslav Chmelar	Wild (MIN)	LW/RW	50	24	19	43	23	8	0	65	39	145	29	90	16.55%	6	912	18.25	2	4	6	25	95	0	0	0	0	2	4	2	56.34%	71	0	1	0.94	0	0	0	0	0	4	2	4
6	Adam Klapka	Wild (MIN)	RW	39	26	16	42	9	71	15	144	109	255	83	166	10.20%	22	961	24.66	3	4	7	39	82	1	1	2	6	143	2	0	59.62%	312	0	3	0.87	0	0	0	1	2	5	3	1
7	Domenick Fensore	Wild (MIN)	D	50	9	31	40	15	40	0	77	74	104	31	68	8.65%	93	1123	22.46	6	6	12	42	104	0	0	0	3	149	1	0	0.00%	0	0	0	0.71	0	0	0	0	0	0	2	2
8	Ian Moore	Wild (MIN)	D	43	10	30	40	10	28	0	89	46	85	27	56	11.76%	63	1032	24.01	3	5	8	29	91	0	1	1	5	147	0	0	33.33%	3	0	0	0.77	0	3	0	0	0	0	2	2
9	Dylan Roobroeck	Wild (MIN)	C/LW	50	13	26	39	8	35	5	106	55	130	44	136	10.00%	9	970	19.41	4	8	12	24	108	0	0	0	2	81	2	0	50.00%	80	1	0	0.80	0	2	0	1	0	1	1	2
10	Wyatte Wylie	Wild (MIN)	D	50	6	21	27	13	26	0	45	39	43	14	30	13.95%	54	965	19.30	2	1	3	11	49	0	0	0	0	71	1	0	33.33%	69	0	0	0.56	0	0	0	0	0	1	1	1
11	Jagger Firkus	Wild (MIN)	RW	50	12	7	19	-7	2	0	13	71	138	37	93	8.70%	10	728	14.58	0	0	0	0	1	0	0	0	2	65	1	0	52.73%	110	0	0	0.52	1	1	0	0	0	1	1	1
12	Braden Hache	Wild (MIN)	D	50	2	16	18	-5	56	0	172	21	33	9	24	6.06%	58	775	15.52	0	0	0	1	3	0	0	0	1	62	0	0	25.00%	4	0	0	0.46	0	0	0	0	0	1	1	0
13	Bogdan Trineyev	Wild (MIN)	LW/RW	39	10	8	18	-7	6	0	37	50	91	26	67	10.99%	14	545	13.98	0	0	0	0	2	0	0	0	0	2	2	1	44.07%	59	1	0	0.66	0	0	0	0	0	1	4	0
14	Dylan Peterson	Wild (MIN)	C/RW	50	7	11	18	-9	40	0	114	73	98	13	67	7.14%	5	636	12.73	0	0	0	0	0	0	0	0	0	2	0	1	52.31%	780	0	0	0.57	0	0	0	0	0	2	0	0
15	Cole Clayton	Wild (MIN)	D	43	1	16	17	5	30	0	81	38	46	16	36	2.17%	58	804	18.71	1	5	6	16	55	0	0	0	0	71	0	0	50.00%	18	0	0	0.42	0	0	0	0	0	0	0	1
16	Maros Jedlicka	Wild (MIN)	C/LW/RW	50	3	5	8	4	12	0	15	34	62	10	38	4.84%	12	526	10.54	0	0	0	0	0	0	0	0	0	0	0	0	48.15%	27	0	0	0.30	0	0	0	0	0	0	0	0
17	Chase Wheatcroft	Wild (MIN)	C/LW	50	3	4	7	1	2	0	18	35	35	4	22	8.57%	4	247	4.96	0	0	0	0	0	0	0	0	0	0	0	0	55.76%	278	0	0	0.56	0	0	0	0	0	0	0	0
18	Chase Bradley	Wild (MIN)	C/LW	17	2	4	6	8	0	0	4	8	19	3	12	10.53%	4	106	6.29	0	0	0	0	0	0	0	0	2	11	0	0	59.46%	37	0	0	1.12	0	0	0	0	0	0	0	0
19	Sam Lipkin	Wild (MIN)	LW	21	0	0	0	-2	0	0	2	4	5	1	4	0.00%	3	55	2.64	0	0	0	1	3	0	0	0	0	8	0	0	44.90%	49	0	0	0.00	0	0	0	0	0	0	0	0
Team Total or Average				843	192	347	539	123	454	30	1257	1123	1905	529	1337	10.08%	525	14363	17.04	34	66	100	295	971	2	3	5	31	1225	25	9	56.19%	4504	2	5	0.75	2	14	1	2	3	20	30	25

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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	OTL	PCT	GAA	MP	PIM	SO	GA	SA	PS %	PSA	ST	BG	S1	S2	S3
1	Erik Portillo	Wild (MIN)	36	17	13	5	0.903	3.44	2042	4	2	117	1211	0.929	14	36	14	6	1	1
2	Domenic DiVincentiis	Wild (MIN)	14	10	3	1	0.907	3.20	843	2	0	45	483	0.000	0	14	9	1	0	1
3	Aleksei Kolosov	Wild (MIN)	2	0	0	1	0.905	4.62	52	0	0	4	42	0.000	0	0	18	0	0	0
Team Total or Average			52	27	16	7	0.904	3.39	2938	6	2	166	1736	0.929	14	50	41	7	1	2

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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
Aatu Raty (Out of Payroll)	C	22	2002-11-14	Yes	190 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	Yes	Link / NHL Link
Adam Klapka	RW	25	2000-09-14	No	235 Lbs	6 ft8	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Aleksei Kolosov	G	23	2002-01-04	Yes	185 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Bogdan Trineyev	LW/RW	23	2002-03-04	No	198 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Braden Hache	D	22	2003-05-21	No	200 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	995,000$	0$	0$	No	Link / NHL Link
Chase Bradley	C/LW	23	2002-01-09	No	180 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	995,000$	0$	0$	No	Link / NHL Link
Chase Wheatcroft	C/LW	23	2002-05-28	Yes	192 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Cole Clayton	D	25	2000-02-29	No	209 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Domenic DiVincentiis	G	21	2004-03-04	Yes	191 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Domenick Fensore	D	24	2001-09-07	Yes	175 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Dylan Peterson	C/RW	23	2002-01-08	Yes	192 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Dylan Roobroeck	C/LW	21	2004-07-27	No	207 Lbs	6 ft7	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Erik Portillo	G	25	2000-09-03	Yes	218 Lbs	6 ft6	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Ian Moore	D	23	2002-01-04	No	203 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jagger Firkus	RW	21	2004-04-29	Yes	153 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jaroslav Chmelar	LW/RW	22	2003-07-20	No	198 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	995,000$	0$	0$	No	Link / NHL Link
Jeremie Biakabutuka	D	23	2002-03-05	No	198 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Maros Jedlicka	C/LW/RW	22	2002-10-23	No	194 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	995,000$	0$	0$	No	Link / NHL Link
Pierrick Dube	RW	24	2001-01-07	No	172 Lbs	5 ft9	No	No	No	1	RFA	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Sam Lipkin	LW	22	2003-01-03	Yes	192 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Topias Vilen	D	22	2003-04-01	Yes	194 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Wyatte Wylie	D	25	1999-11-02	Yes	190 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Zack MacEwen	C/RW	29	1996-07-08	No	227 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	23.17	195 Lbs	6 ft2	2.48	966,522$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Dylan Roobroeck		Adam Klapka	40	1	2	2
2	Jaroslav Chmelar	Zack MacEwen	Pierrick Dube	30	1	2	2
3		Dylan Peterson	Jagger Firkus	20	1	2	2
4	Maros Jedlicka	Chase Wheatcroft	Adam Klapka	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Moore	Topias Vilen	38	1	2	2
2	Domenick Fensore	Wyatte Wylie	36	1	2	2
3	Cole Clayton	Braden Hache	26	1	2	2
4	Cole Clayton	Topias Vilen	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Dylan Roobroeck		Adam Klapka	60	1	2	2
2	Jaroslav Chmelar	Zack MacEwen	Pierrick Dube	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Moore	Topias Vilen	60	1	2	2
2	Domenick Fensore	Wyatte Wylie	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Adam Klapka	60	1	2	2
2	Zack MacEwen	Dylan Roobroeck	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Moore	Topias Vilen	60	1	2	2
2	Domenick Fensore	Wyatte Wylie	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	Ian Moore	Topias Vilen	60	1	2	2
2	Zack MacEwen	40	1	2	2	Domenick Fensore	Wyatte Wylie	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Adam Klapka	60	1	2	2
2	Zack MacEwen	Dylan Roobroeck	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ian Moore	Topias Vilen	60	1	2	2
2	Domenick Fensore	Wyatte Wylie	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Dylan Roobroeck		Adam Klapka		Topias Vilen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Dylan Roobroeck		Adam Klapka		Topias Vilen

Extra Forwards
Normal	PowerPlay	Penalty Kill
, , Jagger Firkus	,	Jagger Firkus

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ian Moore, Braden Hache, Domenick Fensore	Topias Vilen	Braden Hache, Domenick Fensore

Penalty Shots
Adam Klapka, , Zack MacEwen, Dylan Roobroeck, Pierrick Dube

Goalie
#1 : Domenic DiVincentiis, #2 : Erik Portillo

Custom OT Lines Forwards
Adam Klapka, , Zack MacEwen, Dylan Roobroeck, Pierrick Dube, Jaroslav Chmelar, Jaroslav Chmelar, , Jagger Firkus, Dylan Peterson, Chase Wheatcroft

Custom OT Lines Defensemen
, Topias Vilen, Domenick Fensore, Wyatte Wylie,

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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`)
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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
61	62	L2	222	402	624	2321	2438	734	527	1590	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
61	24	26	1	7	2	1	222	251

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
31	13	12	0	4	1	1	117	123

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
30	11	14	1	3	1	0	105	128

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
155	36	23.23%	225	48	78.67%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
758	777	765	35	90	72	57	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1205	2334	51.63%	1187	2354	50.42%	547	1028	53.21%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1384	947	1534	444	774	379

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2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
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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.
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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
3 - 2025-10-09	15	Wild	4	Thunderbirds	7	L			BoxScore
5 - 2025-10-11	33	Monsters	7	Wild	1	L			BoxScore
7 - 2025-10-13	47	Reign	6	Wild	2	L			BoxScore
8 - 2025-10-14	54	Wild	2	Stars	4	L			BoxScore
11 - 2025-10-17	73	Wild	1	Bears	9	L			BoxScore
12 - 2025-10-18	81	Wild	3	Phantoms	7	L			BoxScore
14 - 2025-10-20	93	Wild	2	Wolf Pack	5	L			BoxScore
16 - 2025-10-22	108	Wild	6	Devils	7	L	X		BoxScore
19 - 2025-10-25	131	Roadrunners	9	Wild	3	L			BoxScore
20 - 2025-10-26	142	Barracuda	10	Wild	1	L			BoxScore
22 - 2025-10-28	157	Moose	5	Wild	3	L			BoxScore
24 - 2025-10-30	173	Penguins	5	Wild	4	L	X		BoxScore
26 - 2025-11-01	190	Comets	4	Wild	2	L			BoxScore
29 - 2025-11-04	208	Admirals	5	Wild	3	L			BoxScore
31 - 2025-11-06	221	Wild	6	Wolves	3	W			BoxScore
32 - 2025-11-07	228	Wild	1	Sound Tigers	5	L			BoxScore
34 - 2025-11-09	249	Wranglers	2	Wild	1	L			BoxScore
36 - 2025-11-11	261	Barracuda	6	Wild	5	L	X		BoxScore
40 - 2025-11-15	284	Gulls	4	Wild	2	L			BoxScore
41 - 2025-11-16	298	Silver Knights	3	Wild	9	W			BoxScore
44 - 2025-11-19	317	Wolves	2	Wild	3	W			BoxScore
46 - 2025-11-21	332	Wild	0	Penguins	2	L			BoxScore
48 - 2025-11-23	348	Wild	4	Moose	5	L			BoxScore
51 - 2025-11-26	370	Wild	2	IceHogs	0	W			BoxScore
53 - 2025-11-28	378	Eagles	4	Wild	3	L	X		BoxScore
54 - 2025-11-29	399	Americans	1	Wild	2	W			BoxScore
57 - 2025-12-02	418	Wild	1	Condors	6	L			BoxScore
59 - 2025-12-04	433	Wild	2	Wranglers	1	W	X	X	BoxScore
61 - 2025-12-06	451	Wild	6	Comets	7	L	X		BoxScore
63 - 2025-12-08	465	Wild	5	Firebirds	4	W			BoxScore
66 - 2025-12-11	488	Stars	3	Wild	4	W	X	X	BoxScore
68 - 2025-12-13	496	Senators	4	Wild	7	W			BoxScore
69 - 2025-12-14	511	Bruins	9	Wild	3	L			BoxScore
71 - 2025-12-16	526	Bears	3	Wild	2	L			BoxScore
73 - 2025-12-18	539	Wild	0	Monsters	7	L			BoxScore
75 - 2025-12-20	552	Condors	5	Wild	7	W			BoxScore
76 - 2025-12-21	563	Eagles	6	Wild	5	L	X	X	BoxScore
78 - 2025-12-23	582	Admirals	1	Wild	3	W			BoxScore
82 - 2025-12-27	594	Wild	5	Moose	3	W			BoxScore
84 - 2025-12-29	614	Wild	9	Silver Knights	2	W			BoxScore
86 - 2025-12-31	625	Wild	2	Barracuda	0	W			BoxScore
88 - 2026-01-02	643	Wild	2	Gulls	3	L	X		BoxScore
89 - 2026-01-03	655	Wild	2	Reign	5	L			BoxScore
91 - 2026-01-05	666	Wild	4	Reign	6	L			BoxScore
94 - 2026-01-08	693	Wild	5	Firebirds	2	W			BoxScore
96 - 2026-01-10	708	Sound Tigers	1	Wild	3	W			BoxScore
98 - 2026-01-12	721	Devils	1	Wild	4	W			BoxScore
101 - 2026-01-15	744	Moose	3	Wild	4	W			BoxScore
103 - 2026-01-17	754	Wild	5	Americans	8	L			BoxScore
105 - 2026-01-19	774	Wild	6	Marlies	3	W			BoxScore
106 - 2026-01-20	780	Wild	5	Rocket	4	W	X		BoxScore
108 - 2026-01-22	801	Griffins	2	Wild	4	W			BoxScore
110 - 2026-01-24	817	Checkers	1	Wild	10	W			BoxScore
113 - 2026-01-27	837	IceHogs	3	Wild	2	L	X		BoxScore
115 - 2026-01-29	853	Wranglers	1	Wild	3	W			BoxScore
117 - 2026-01-31	871	Wild	7	Condors	6	W			BoxScore
119 - 2026-02-02	879	Rocket	1	Wild	7	W			BoxScore
121 - 2026-02-04	896	Wild	3	Admirals	1	W			BoxScore
143 - 2026-02-26	927	Wild	3	Eagles	1	W			BoxScore
144 - 2026-02-27	932	Wild	2	Roadrunners	5	L			BoxScore
146 - 2026-03-01	950	Thunderbirds	6	Wild	5	L			BoxScore
148 - 2026-03-03	967	Crunch	-	Wild	-
151 - 2026-03-06	988	Wild	-	Silver Knights	-
153 - 2026-03-08	1001	Wild	-	Eagles	-
155 - 2026-03-10	1021	Roadrunners	-	Wild	-
157 - 2026-03-12	1035	Phantoms	-	Wild	-
159 - 2026-03-14	1046	Wolf Pack	-	Wild	-
160 - 2026-03-15	1060	Marlies	-	Wild	-
162 - 2026-03-17	1071	Wild	-	IceHogs	-
164 - 2026-03-19	1087	IceHogs	-	Wild	-
166 - 2026-03-21	1101	Stars	-	Wild	-
169 - 2026-03-24	1127	Wild	-	Crunch	-
171 - 2026-03-26	1140	Wild	-	Checkers	-
Trade Deadline --- Trades can’t be done after this day is simulated!
173 - 2026-03-28	1155	Wild	-	Bruins	-
178 - 2026-04-02	1199	Comets	-	Wild	-
180 - 2026-04-04	1208	Wild	-	Senators	-
181 - 2026-04-05	1222	Wild	-	Griffins	-
183 - 2026-04-07	1240	Firebirds	-	Wild	-
185 - 2026-04-09	1255	Wild	-	Stars	-
187 - 2026-04-11	1267	Wild	-	Admirals	-
189 - 2026-04-13	1286	Wild	-	Thunderbirds	-
190 - 2026-04-14	1296	Gulls	-	Wild	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	60	40
Attendance	28,584	13,744
Attendance PCT	46.10%	44.34%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
-21	1365 - 45.51%	91,323$	2,831,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,228,028$	2,128,000$	2,128,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,685,553$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
-1,917,774$	45	14,729$	662,805$

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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
Regular Season
2024	82	37	35	0	1	7	2	0	275	285	-10	41	16	20	0	0	3	2	0	133	146	-13	41	21	15	0	1	4	0	0	142	139	3	87	275	505	780	2	1	92	101	79	3	2794	949	926	899	28	2803	833	676	2023	268	53	19.78%	294	56	80.95%	3	1508	2975	50.69%	1536	3037	50.58%	692	1365	50.70%	1938	1334	1955	606	1048	520
2025	61	24	26	0	1	7	2	1	222	251	-29	31	13	12	0	0	4	1	1	117	123	-6	30	11	14	0	1	3	1	0	105	128	-23	62	222	402	624	0	2	90	72	57	3	2321	758	777	765	35	2438	734	527	1590	155	36	23.23%	225	48	78.67%	2	1205	2334	51.63%	1187	2354	50.42%	547	1028	53.21%	1384	947	1534	444	774	379
Total Regular Season	143	61	61	0	2	14	4	1	497	536	-39	72	29	32	0	0	7	3	1	250	269	-19	71	32	29	0	2	7	1	0	247	267	-20	149	497	907	1404	2	3	182	173	136	6	5115	1707	1703	1664	63	5241	1567	1203	3613	423	89	21.04%	519	104	79.96%	5	2713	5309	51.10%	2723	5391	50.51%	1239	2393	51.78%	3323	2282	3489	1051	1822	900