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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	Age	Contract	Salary
1	Riley Barber			X		100.00	75	73	80	66	73	68	68	69	50	61	73	66	69	45	45	69	50	64	0	27	1	925,000$
2	Brett Ritchie			X		100.00	96	48	78	77	83	59	61	59	33	56	59	60	25	66	67	63	50	62	0	28	2	800,000$
3	Seth Griffith		X	X		100.00	75	67	92	61	67	72	75	64	50	61	62	66	59	49	49	65	50	62	0	28	2	800,000$
4	Tyler Graovac	X				100.00	75	44	86	72	81	54	50	57	68	58	74	61	25	54	54	66	50	61	0	28	2	800,000$
5	Calvin Thurkauf	X	X			100.00	76	74	80	65	74	61	62	60	75	57	56	67	53	55	55	61	50	60	0	24	1	750,000$
6	Jayce Hawryluk	X		X		100.00	79	44	90	67	70	54	58	58	44	60	58	62	25	59	59	60	50	59	0	25	1	925,000$
7	Hudson Fasching			X		100.00	77	74	85	65	74	55	55	56	50	62	44	66	42	53	53	57	50	58	0	26	1	950,000$
8	Julien Nantel (R)	X	X			100.00	77	70	92	64	70	61	63	55	69	47	59	64	56	45	45	60	50	58	0	25	3	750,000$
9	Shane Gersich (R)	X	X			100.00	67	66	68	62	66	65	68	57	71	52	57	59	54	44	44	58	50	57	0	25	3	750,000$
10	Thomas Di Pauli (R)	X	X			100.00	72	67	82	65	67	57	57	57	71	51	58	61	55	44	44	59	50	57	0	27	3	750,000$
11	Alexander Romanov (R)				X	100.00	91	46	88	78	74	71	79	62	25	48	47	66	25	49	49	61	50	65	0	21	3	1,177,500$
12	Kyle Wood (R)				X	100.00	87	90	81	66	90	70	76	47	25	37	41	66	39	44	44	54	50	61	0	25	3	750,000$
13	Jake Walman (R)				X	100.00	76	43	89	71	65	64	64	61	25	43	48	66	25	53	53	58	50	61	0	25	3	750,000$
14	Evan Bouchard (R)				X	100.00	71	43	95	66	73	65	58	66	25	55	56	58	25	45	45	60	50	60	0	22	3	1,596,667$
15	Casey Nelson				X	100.00	77	71	92	68	71	59	63	48	25	37	41	65	39	59	59	53	50	59	0	29	1	800,000$
16	David Warsofsky				X	100.00	66	61	79	64	61	60	61	59	25	58	42	62	40	57	58	55	50	59	0	31	1	750,000$
17	Sebastian AhoD				X	100.00	67	59	84	63	65	67	51	52	24	52	39	57	25	46	46	0	50	55	0	25	2	925,000$
Scratches
1	Nathan Paetsch				X	100.00	78	72	93	56	72	40	39	46	25	35	42	62	40	44	44	51	50	53	0	38	1	750,000$

	TEAM AVERAGE					100.00	77	62	85	66	72	61	62	57	43	52	53	63	40	51	51	56	50	60

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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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8	`?`	Wildcard for a single, non-space character.
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#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Mike Condon	100.00	44	42	53	76	42	42	50	51	45	46	30	44	44	46	50	49	0
Scratches

	TEAM AVERAGE	100.00	44	42	53	76	42	42	50	51	45	46	30	44	44	46	50	49

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kerry Huffman	56	77	79	41	48	41	57	CAN	53	1	800,000$

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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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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

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#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	S1	S2	S3
1	Brett Ritchie	Wild (MIN)	RW	1	0	2	2	2	0	1	2	0	1	0	0.00%	0	21	21.12	0	4	5	0	0	46.15%	13	1.89	0	0	1
2	Seth Griffith	Wild (MIN)	LW/RW	1	0	2	2	2	0	1	1	0	1	1	0.00%	0	22	22.88	0	5	5	0	0	100.00%	2	1.75	0	0	0
3	Tyler Graovac	Wild (MIN)	C	1	2	0	2	2	0	0	0	6	1	0	33.33%	0	17	17.17	2	5	3	1	0	25.00%	16	2.33	1	0	0
4	Casey Nelson	Wild (MIN)	D	1	1	0	1	1	0	4	2	1	0	0	100.00%	2	16	16.18	0	0	4	0	0	0.00%	0	1.24	0	1	0
5	Hudson Fasching	Wild (MIN)	RW	1	0	1	1	1	0	1	0	0	0	1	0.00%	0	13	13.33	0	0	0	0	0	0.00%	1	1.50	0	0	0
6	Jayce Hawryluk	Wild (MIN)	C/RW	1	0	1	1	1	2	1	2	1	0	1	0.00%	0	15	15.25	0	4	0	0	0	100.00%	1	1.31	0	0	0
7	Adam Brooks	Wild	C	1	0	1	1	1	0	0	0	1	0	2	0.00%	0	15	15.27	0	1	0	0	0	11.11%	9	1.31	0	0	0
8	Connor Bunnaman	Wild	C	1	1	0	1	1	0	1	0	2	1	0	50.00%	0	19	19.75	0	4	3	0	1	62.50%	16	1.01	0	0	0
9	Alexander Romanov	Wild (MIN)	D	1	0	0	0	2	2	2	1	2	0	1	0.00%	0	23	23.52	2	5	3	0	0	0.00%	0	0.00	0	0	0
10	Kyle Wood	Wild (MIN)	D	1	0	0	0	2	2	0	1	1	0	0	0.00%	0	20	20.78	0	6	4	0	0	0.00%	0	0.00	0	0	0
11	Calvin Thurkauf	Wild (MIN)	C/LW	1	0	0	0	1	0	1	1	2	0	1	0.00%	0	17	17.78	2	4	2	0	0	0.00%	1	0.00	0	0	0
12	Jake Walman	Wild (MIN)	D	1	0	0	0	1	2	2	0	2	0	0	0.00%	0	19	19.22	0	3	5	0	0	0.00%	0	0.00	0	0	0
13	Julien Nantel	Wild (MIN)	C/LW	1	0	0	0	1	2	0	0	0	0	0	0.00%	0	16	16.70	0	0	3	0	0	0.00%	1	0.00	0	0	0
14	Conor Timmins	Wild	D	1	0	0	0	1	0	1	1	1	0	0	0.00%	0	20	20.43	1	3	5	0	0	0.00%	0	0.00	0	0	0
15	Thomas Di Pauli	Wild (MIN)	C/LW	1	0	0	0	0	0	0	1	0	0	0	0.00%	0	4	4.60	0	0	0	0	0	50.00%	6	0.00	0	0	0
16	Evan Bouchard	Wild (MIN)	D	1	0	0	0	1	8	1	0	0	0	0	0.00%	1	13	13.02	0	0	0	0	0	0.00%	0	0.00	0	0	0
17	David Warsofsky	Wild (MIN)	D	1	0	0	0	0	0	0	1	0	0	0	0.00%	0	6	6.75	0	0	2	0	0	0.00%	0	0.00	0	0	0
Team Total or Average				17	4	7	11	20	18	16	13	19	4	7	21.05%	3	283	16.69	7	50	52	1	1	40.91%	66	0.78	1	1	1

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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`)
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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.
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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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Mike Condon	Wild (MIN)	1	1	0	0	0.857	2.00	60	0	0	2	14	0	0	0	0.000	0	1	0	0	0	0
Team Total or Average			1	1	0	0	0.857	2.00	60	0	0	2	14	0	0	0	0.000	0	1	0	0	0	0

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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
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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 Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Alexander Romanov	Wild (MIN)	D	21	2000-01-05	Yes	208 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,177,500$	1,177,500$	0$	0$	No	1,177,500$	1,177,500$	Link
Brett Ritchie	Wild (MIN)	RW	28	1993-06-30	No	220 Lbs	6 ft4	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$		Link / NHL Link
Calvin Thurkauf	Wild (MIN)	C/LW	24	1997-06-27	No	204 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Casey Nelson	Wild (MIN)	D	29	1992-07-18	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Link / NHL Link
David Warsofsky	Wild (MIN)	D	31	1990-05-30	No	174 Lbs	5 ft9	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Evan Bouchard	Wild (MIN)	D	22	1999-10-20	Yes	194 Lbs	6 ft3	No	No	No	3	Pro & Farm	1,596,667$	1,596,667$	0$	0$	No	1,596,667$	1,596,667$	Link / NHL Link
Hudson Fasching	Wild (MIN)	RW	26	1995-07-28	No	204 Lbs	6 ft1	No	No	No	1	Pro & Farm	950,000$	950,000$	0$	0$	No			Link / NHL Link
Jake Walman	Wild (MIN)	D	25	1996-02-20	Yes	170 Lbs	6 ft1	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Jayce Hawryluk	Wild (MIN)	C/RW	25	1996-01-01	No	196 Lbs	5 ft11	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Julien Nantel	Wild (MIN)	C/LW	25	1996-09-06	Yes	193 Lbs	6 ft0	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Kyle Wood	Wild (MIN)	D	25	1996-05-04	Yes	235 Lbs	6 ft7	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Mike Condon	Wild (MIN)	G	31	1990-04-26	No	195 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Nathan Paetsch	Wild (MIN)	D	38	1983-03-29	No	198 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	750,000$	0$	0$	No			Link / NHL Link
Riley Barber	Wild (MIN)	RW	27	1994-02-07	No	203 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Sebastian AhoD	Wild (MIN)	D	25	1996-02-16	No	184 Lbs	5 ft10	No	No	No	2	Pro & Farm	925,000$	925,000$	0$	0$	No	925,000$		Link
Seth Griffith	Wild (MIN)	LW/RW	28	1993-01-04	No	190 Lbs	5 ft9	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$		Link / NHL Link
Shane Gersich	Wild (MIN)	C/LW	25	1996-07-10	Yes	180 Lbs	5 ft11	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Thomas Di Pauli	Wild (MIN)	C/LW	27	1994-04-29	Yes	187 Lbs	5 ft11	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Tyler Graovac	Wild (MIN)	C	28	1993-04-26	No	212 Lbs	6 ft5	No	No	No	2	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$		Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
19	26.84	197 Lbs	6 ft1	1.95	865,746$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			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			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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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	Americans	2	0	2	0	0	0	0	0	0	10	-10	1	0	1	0	0	0	0	0	0	6	-6	1	0	1	0	0	0	0	0	0	4	-4	0	0.000	0	0	0	0	0	10	13	15	0	22	120	109	121	0	76	33	11	15	5	0	0.00%	3	1	66.67%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
2	Admirals	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	2	8	-6	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	3	5	8	0	0	10	13	15	0	33	120	109	121	0	80	23	11	29	6	0	0.00%	3	0	100.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
3	IceHogs	2	1	1	0	0	0	0	0	5	8	-3	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	6	-5	2	0.500	5	9	14	0	0	10	13	15	0	38	120	109	121	0	58	14	20	29	7	0	0.00%	10	2	80.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
4	Mariners	2	0	2	0	0	0	0	0	7	14	-7	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	3	8	-5	0	0.000	7	14	21	0	0	10	13	15	0	42	120	109	121	0	124	26	2	23	6	2	33.33%	1	0	100.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
5	Moose	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	6	-5	0	0.000	3	6	9	0	0	10	13	15	0	30	120	109	121	0	107	26	8	16	4	1	25.00%	4	0	100.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
6	Rampage	2	1	1	0	0	0	0	0	9	10	-1	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	9	18	27	0	0	10	13	15	0	78	120	109	121	0	98	30	4	48	3	0	0.00%	1	0	100.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
7	Stars	2	0	2	0	0	0	0	0	10	12	-2	1	0	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	10	20	30	0	0	10	13	15	0	88	120	109	121	0	97	25	4	52	2	0	0.00%	2	0	100.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
8	Wolves	2	0	2	0	0	0	0	0	1	13	-12	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	0	6	-6	0	0.000	1	1	2	0	0	10	13	15	0	19	120	109	121	0	92	22	6	22	6	0	0.00%	3	2	33.33%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
	Total	16	2	14	0	0	0	0	0	38	93	-55	8	2	6	0	0	0	0	0	23	46	-23	8	0	8	0	0	0	0	0	15	47	-32	4	0.125	38	73	111	0	0	10	13	15	0	350	120	109	121	0	732	199	66	234	39	3	7.69%	27	5	81.48%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
	_Since Last GM Reset	16	2	14	0	0	0	0	0	38	93	-55	8	2	6	0	0	0	0	0	23	46	-23	8	0	8	0	0	0	0	0	15	47	-32	4	0.125	38	73	111	0	0	10	13	15	0	350	120	109	121	0	732	199	66	234	39	3	7.69%	27	5	81.48%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
	_Vs Conference	16	2	14	0	0	0	0	0	38	93	-55	8	2	6	0	0	0	0	0	23	46	-23	8	0	8	0	0	0	0	0	15	47	-32	4	0.125	38	73	111	0	0	10	13	15	0	350	120	109	121	0	732	199	66	234	39	3	7.69%	27	5	81.48%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62
	_Vs Division	10	2	14	0	0	0	0	0	30	56	-26	5	2	6	0	0	0	0	0	18	27	-9	5	0	8	0	0	0	0	0	12	29	-17	4	0.200	30	58	88	0	0	10	13	15	0	267	120	109	121	0	440	118	47	174	22	1	4.55%	20	2	90.00%	0	91	273	33.33%	134	476	28.15%	73	253	28.85%	208	139	588	112	163	62

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
16	4	L10	38	73	111	350	732	199	66	234	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
16	2	14	0	0	0	0	38	93

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	2	6	0	0	0	0	23	46

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
8	0	8	0	0	0	0	15	47

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	10	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
39	3	7.69%	27	5	81.48%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
120	109	121	0	10	13	15	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
91	273	33.33%	134	476	28.15%	73	253	28.85%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
208	139	588	112	163	62

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	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2021-10-18	12	Wild	1	Moose	6	L	BoxScore
2 - 2021-10-19	16	Wild	1	IceHogs	6	L	BoxScore
3 - 2021-10-20	34	IceHogs	2	Wild	4	W	BoxScore
5 - 2021-10-22	50	Wolves	7	Wild	1	L	BoxScore
6 - 2021-10-23	72	Wild	5	Stars	6	L	BoxScore
7 - 2021-10-24	85	Rampage	4	Wild	5	W	BoxScore
8 - 2021-10-25	103	Moose	7	Wild	2	L	BoxScore
10 - 2021-10-27	124	Wild	0	Americans	4	L	BoxScore
11 - 2021-10-28	139	Americans	6	Wild	0	L	BoxScore
13 - 2021-10-30	160	Mariners	6	Wild	4	L	BoxScore
14 - 2021-10-31	173	Wild	4	Rampage	6	L	BoxScore
16 - 2021-11-02	186	Wild	1	Admirals	5	L	BoxScore
17 - 2021-11-03	205	Stars	6	Wild	5	L	BoxScore
19 - 2021-11-05	229	Admirals	8	Wild	2	L	BoxScore
20 - 2021-11-06	231	Wild	3	Mariners	8	L	BoxScore
21 - 2021-11-07	245	Wild	0	Wolves	6	L	BoxScore

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

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	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$	1,644,917$	1,644,917$	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$

Show or Hide Column

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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

	Wild
	GP: 16 \| W: 2 \| L: 14 \| OTL: 0 \| P: 4 GF: 38 \| GA: 93 \| PP%: 7.69% \| PK%: 81.48% GM : David \| Morale : 50 \| Team Overall : 59