Golden Knights
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Web Lines Editor

Game Center
	Wolves 5-12-1, 11pts	2	FINAL	8	Condors 14-4-0, 28pts

Team Stats
L3	Streak	L1
4-5-0	Home Record	7-2-0
1-7-1	Away Record	7-2-0
3-6-1	Last 10 Games	8-2-0
3.00	Goals Per Game	4.94
4.94	Goals Against Per Game	1.94
8.20%	Power Play Percentage	20.97%
78.13%	Penalty Kill Percentage	90.63%

Wolves
5-12-1, 11pts

FINAL

Reign
15-3-0, 30pts

Team Stats
L3	Streak	W3
4-5-0	Home Record	7-2-0
1-7-1	Away Record	8-1-0
3-6-1	Last 10 Games	8-2-0
3.00	Goals Per Game	4.39
4.94	Goals Against Per Game	1.94
8.20%	Power Play Percentage	21.57%
78.13%	Penalty Kill Percentage	93.55%

Team Leaders
	Goals Vitaly Kravtsov 23	Assists Juuso Valimaki 24

	Points Vitaly Kravtsov 27	Plus/Minus Vitaly Kravtsov 11

Team Stats
Goals For 54 3.00 GFG	Shots For 503 27.94 Avg	Power Play Percentage 8.2% 5 GF	Offensive Zone Start 37.3%
Goals Against 89 4.94 GAA	Shots Against 617 34.28 Avg	Penalty Kill Percentage 78.1% 7 GA	Defensive Zone Start 37.4%

Team Info
	General Manager	James
	Coach	Kirk Muller
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	20
	Farm Team	18
	Contract Limit	38 / 50
	Prospects	42

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
1	Dawson Mercer (R)	X		X		100.00	61	41	89	86	65	74	67	72	68	75	72	69	25	55	55	72	50	68	0	21	3	1,294,167$
2	Milan Lucic		X			100.00	90	99	72	73	87	62	94	64	54	61	62	59	25	86	86	66	50	66	0	34	1	800,000$
3	Nolan Patrick	X				100.00	75	44	91	79	73	59	64	72	72	65	58	64	25	54	54	65	50	64	0	24	1	800,000$
4	Morgan Geekie	X				100.00	71	43	91	74	73	63	81	70	86	66	59	64	25	57	58	65	50	64	0	24	1	800,000$
5	Liam Foudy	X	X	X		100.00	78	72	92	80	72	61	61	62	78	60	60	66	57	46	46	65	50	62	0	22	1	1,269,167$
6	Martin Kaut			X		100.00	72	67	83	80	67	63	64	62	50	53	66	63	63	45	45	65	50	61	0	23	1	1,319,167$
7	Lias Andersson	X	X			100.00	77	44	82	78	71	57	59	59	48	55	57	60	75	57	57	61	50	60	0	24	1	800,000$
8	Aleksi Heponiemi (R)	X		X		100.00	65	57	85	72	57	63	64	62	50	63	56	59	53	45	45	61	50	59	0	23	3	750,000$
9	Vitaly Kravtsov (R)			X		100.00	63	42	93	65	71	62	60	60	25	60	59	63	25	45	45	61	50	58	0	22	2	1,775,000$
10	Jamie Drysdale (R)				X	100.00	65	41	93	88	64	80	85	75	25	66	48	67	25	57	57	65	50	68	0	20	2	1,775,000$
11	Jordan Spence (R)				X	100.00	78	43	97	80	59	79	62	74	25	59	49	73	25	46	46	64	50	66	0	21	3	919,167$
12	Gustav Lindstrom (R)				X	100.00	73	43	89	75	72	69	70	59	25	54	47	78	25	55	55	61	50	66	0	24	1	925,000$
13	Juuso Valimaki (R)				X	100.00	73	44	70	75	78	69	72	58	25	56	47	77	25	50	50	61	50	65	0	24	2	900,000$
14	Calen Addison (R)				X	100.00	71	42	95	81	66	63	72	76	25	50	54	64	25	45	46	63	50	63	0	22	3	910,833$
15	Nils Lundkvist (R)				X	100.00	67	42	99	76	66	64	58	64	25	50	48	66	25	46	46	59	50	61	0	22	3	1,775,000$
16	Pierre-Olivier Joseph (R)				X	100.00	73	70	79	72	70	73	78	57	25	49	51	62	48	45	45	60	50	61	0	23	2	1,075,833$
17	Josh Brook (R)				X	100.00	71	71	72	69	71	67	71	52	25	49	41	60	39	44	44	54	50	59	0	23	2	910,833$
Scratches
1	Shane Bowers (R)	X				100.00	76	70	89	66	70	54	55	52	65	44	56	62	53	44	44	58	50	56	0	23	3	750,000$
2	Tyler Tucker (R)				X	100.00	71	76	58	63	76	63	67	48	25	40	40	59	38	44	44	50	50	56	0	22	3	808,333$

	TEAM AVERAGE					100.00	72	55	85	75	70	66	69	63	43	57	54	65	37	51	51	62	50	62

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	Age	Contract	Salary
1	Ken Appleby	100.00	44	42	53	85	45	44	45	49	45	45	45	44	44	45	50	49	0	27	3	750,000$
Scratches

	TEAM AVERAGE	100.00	44	42	53	85	45	44	45	49	45	45	45	44	44	45	50	49

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kirk Muller	70	69	65	66	83	77	65	CAN	56	2	700,000$

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

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2022-23/pre-season/PlayersStatSub.php on line 106

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2022-23/pre-season/PlayersStatSub.php on line 106

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2022-23/pre-season/PlayersStatSub.php on line 106

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPS	PPM	PKM	GW	GT	FO%	FOT	HT	P/20	FL	S1	S2	S3
1	Vitaly Kravtsov	Wolves (VGK)	RW	18	23	4	27	11	4	0	44	28	105	38	76	21.90%	4	268	14.93	0	4	0	3	1	57.89%	19	5	2.01	0	6	4	0
2	Juuso Valimaki	Wolves (VGK)	D	18	2	24	26	9	19	5	54	21	17	4	14	11.76%	23	272	15.15	2	4	1	0	0	0.00%	0	0	1.91	1	3	4	1
3	Pierre-Olivier Joseph	Wolves (VGK)	D	18	1	0	1	-12	6	0	32	10	8	1	9	12.50%	9	174	9.70	0	1	0	0	0	0.00%	0	0	0.11	0	0	1	6
4	Josh Brook	Wolves (VGK)	D	18	0	1	1	-12	8	0	39	12	9	2	3	0.00%	7	176	9.79	0	0	1	0	0	0.00%	0	0	0.11	0	0	0	1
Team Total or Average				72	26	29	55	-4	37	5	169	71	139	45	102	18.71%	43	892	12.39	2	11	2	3	1	57.89%	19	5	1.23	1	9	9	8

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

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2022-23/pre-season/FarmTeam.php on line 1012

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2022-23/pre-season/FarmTeam.php on line 1013

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2022-23/pre-season/FarmTeam.php on line 1022

#	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
Team Total or Average							0.000	0.00	0								0.000

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 Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Aleksi Heponiemi	Wolves (VGK)	C/RW	23	1999-01-08	Yes	155 Lbs	5 ft10	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Calen Addison	Wolves (VGK)	D	22	2000-04-10	Yes	180 Lbs	5 ft11	No	No	No	3	Pro & Farm	910,833$	910,833$	0$	0$	No	910,833$	910,833$	Link
Dawson Mercer	Wolves (VGK)	C/RW	21	2001-10-27	Yes	179 Lbs	6 ft0	No	No	No	3	Pro & Farm	1,294,167$	1,294,167$	0$	0$	No	1,294,167$	1,294,167$	Link
Gustav Lindstrom	Wolves (VGK)	D	24	1998-10-20	Yes	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	925,000$	925,000$	0$	0$	No			Link / NHL Link
Jamie Drysdale	Wolves (VGK)	D	20	2002-04-08	Yes	175 Lbs	5 ft11	No	No	No	2	Pro & Farm	1,775,000$	1,775,000$	0$	0$	No	1,775,000$		Link
Jordan Spence	Wolves (VGK)	D	21	2001-02-24	Yes	163 Lbs	5 ft10	No	No	No	3	Pro & Farm	919,167$	919,167$	0$	0$	No	919,167$	919,167$	Link
Josh Brook	Wolves (VGK)	D	23	1999-06-17	Yes	192 Lbs	6 ft1	No	No	No	2	Pro & Farm	910,833$	910,833$	0$	0$	No	910,833$		Link / NHL Link
Juuso Valimaki	Wolves (VGK)	D	24	1998-10-06	Yes	212 Lbs	6 ft2	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	0$	No	900,000$		Link
Ken Appleby	Wolves (VGK)	G	27	1995-04-09	No	210 Lbs	6 ft4	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link
Liam Foudy	Wolves (VGK)	C/LW/RW	22	2000-02-04	No	193 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,269,167$	1,269,167$	0$	0$	No			Link
Lias Andersson	Wolves (VGK)	C/LW	24	1998-10-13	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Link / NHL Link
Martin Kaut	Wolves (VGK)	RW	23	1999-10-02	No	176 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,319,167$	1,319,167$	0$	0$	No			Link / NHL Link
Milan Lucic	Wolves (VGK)	LW	34	1988-06-07	No	231 Lbs	6 ft3	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Link / NHL Link
Morgan Geekie	Wolves (VGK)	C	24	1998-07-20	No	192 Lbs	6 ft3	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Link / NHL Link
Nils Lundkvist	Wolves (VGK)	D	22	2000-07-27	Yes	187 Lbs	5 ft10	No	No	No	3	Pro & Farm	1,775,000$	1,775,000$	0$	0$	No	1,775,000$	1,775,000$	Link
Nolan Patrick	Wolves (VGK)	C	24	1998-09-19	No	198 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	0$	No			Link
Pierre-Olivier Joseph	Wolves (VGK)	D	23	1999-07-01	Yes	185 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,075,833$	1,075,833$	0$	0$	No	1,075,833$		Link / NHL Link
Shane Bowers	Wolves (VGK)	C	23	1999-07-30	Yes	186 Lbs	6 ft2	No	No	No	3	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	750,000$	Link / NHL Link
Tyler Tucker	Wolves (VGK)	D	22	2000-03-01	Yes	205 Lbs	6 ft2	No	No	No	3	Pro & Farm	808,333$	808,333$	0$	0$	No	808,333$	808,333$	Link
Vitaly Kravtsov	Wolves (VGK)	RW	22	1999-12-23	Yes	189 Lbs	6 ft3	No	No	No	2	Pro & Farm	1,775,000$	1,775,000$	0$	0$	No	1,775,000$		Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	23.40	189 Lbs	6 ft1	2.05	1,055,375$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2			Vitaly Kravtsov	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		Juuso Valimaki	30	1	2	2
3	Pierre-Olivier Joseph	Josh Brook	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			Vitaly Kravtsov	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2		Juuso Valimaki	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		Juuso Valimaki	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		Juuso Valimaki	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		Juuso Valimaki	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
Vitaly Kravtsov, ,	Vitaly Kravtsov,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Pierre-Olivier Joseph, Josh Brook,	Pierre-Olivier Joseph	Josh Brook,

Penalty Shots
, , , , Vitaly Kravtsov

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , Vitaly Kravtsov, , , , , ,

Custom OT Lines Defensemen
, , , Juuso Valimaki, Pierre-Olivier Joseph

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	Barracudas	2	2	0	0	0	0	0	0	12	8	4	1	1	0	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	12	19	31	0	0	23	17	14	0	76	176	150	176	1	87	25	11	47	2	0	0.00%	3	1	66.67%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
2	Condors	2	0	2	0	0	0	0	0	3	13	-10	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	2	8	-6	0	0.000	3	4	7	0	0	23	17	14	0	22	176	150	176	1	56	16	2	26	11	0	0.00%	1	0	100.00%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
3	Eagles	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	7	12	19	0	0	23	17	14	0	83	176	150	176	1	70	8	8	59	6	1	16.67%	5	1	80.00%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
4	Griffins	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	1	2	0	0	23	17	14	0	17	176	150	176	1	47	17	4	4	6	1	16.67%	2	0	100.00%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
5	Gulls	2	0	1	0	0	1	0	0	8	12	-4	1	0	1	0	0	0	0	0	3	6	-3	1	0	0	0	0	1	0	0	5	6	-1	1	0.250	8	10	18	0	0	23	17	14	0	47	176	150	176	1	80	23	12	35	1	0	0.00%	5	0	100.00%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
6	Heat	2	0	2	0	0	0	0	0	1	14	-13	1	0	1	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	1	2	3	0	0	23	17	14	0	40	176	150	176	1	81	21	10	39	12	1	8.33%	5	2	60.00%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
7	Mariners	2	2	0	0	0	0	0	0	12	4	8	2	2	0	0	0	0	0	0	12	4	8	0	0	0	0	0	0	0	0	0	0	0	4	1.000	12	19	31	0	0	23	17	14	0	89	176	150	176	1	41	7	0	41	6	1	16.67%	0	0	0.00%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
8	Moose	1	0	1	0	0	0	0	0	0	7	-7	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	7	-7	0	0.000	0	0	0	0	0	23	17	14	0	15	176	150	176	1	33	12	11	17	6	0	0.00%	3	1	66.67%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
9	Reign	2	0	2	0	0	0	0	0	5	10	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	5	-3	0	0.000	5	9	14	0	0	23	17	14	0	30	176	150	176	1	64	21	2	20	7	0	0.00%	1	0	100.00%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
10	Roadrunners	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	9	14	0	0	23	17	14	0	84	176	150	176	1	58	18	12	58	4	1	25.00%	7	2	71.43%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
	Total	18	5	12	0	0	1	0	0	54	89	-35	9	4	5	0	0	0	0	0	36	39	-3	9	1	7	0	0	1	0	0	18	50	-32	11	0.306	54	85	139	0	0	23	17	14	0	503	176	150	176	1	617	168	72	346	61	5	8.20%	32	7	78.13%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
	_Since Last GM Reset	18	5	12	0	0	1	0	0	54	89	-35	9	4	5	0	0	0	0	0	36	39	-3	9	1	7	0	0	1	0	0	18	50	-32	11	0.306	54	85	139	0	0	23	17	14	0	503	176	150	176	1	617	168	72	346	61	5	8.20%	32	7	78.13%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
	_Vs Conference	17	5	11	0	0	1	0	0	53	84	-31	9	4	5	0	0	0	0	0	36	39	-3	8	1	6	0	0	1	0	0	17	45	-28	11	0.324	53	84	137	0	0	23	17	14	0	486	176	150	176	1	570	151	68	342	55	4	7.27%	30	7	76.67%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88
	_Vs Division	5	2	1	0	0	0	0	0	12	23	-11	2	2	0	0	0	0	0	0	9	7	2	3	0	1	0	0	0	0	0	3	16	-13	4	0.400	12	21	33	0	0	23	17	14	0	182	176	150	176	1	161	38	31	134	16	2	12.50%	15	4	73.33%	0	162	423	38.30%	148	425	34.82%	112	287	39.02%	415	310	472	113	193	88

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
18	11	L3	54	85	139	503	617	168	72	346	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
18	5	12	0	1	0	0	54	89

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	4	5	0	0	0	0	36	39

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
9	1	7	0	1	0	0	18	50

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	6	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
61	5	8.20%	32	7	78.13%	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
176	150	176	1	23	17	14	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
162	423	38.30%	148	425	34.82%	112	287	39.02%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
415	310	472	113	193	88

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	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2022-11-21	7	Wolves	2	Roadrunners	4	AL		BoxScore
2 - 2022-11-22	25	Wolves	1	Eagles	5	AL		BoxScore
3 - 2022-11-23	36	Mariners	1	Wolves	5	BW		BoxScore
5 - 2022-11-25	54	Reign	5	Wolves	3	BL		BoxScore
7 - 2022-11-27	76	Gulls	6	Wolves	3	BL		BoxScore
8 - 2022-11-28	94	Wolves	0	Moose	7	AL		BoxScore
9 - 2022-11-29	107	Barracudas	5	Wolves	7	BW		BoxScore
10 - 2022-11-30	131	Condors	5	Wolves	1	BL		BoxScore
11 - 2022-12-01	140	Wolves	0	Heat	7	AL		BoxScore
12 - 2022-12-02	160	Wolves	1	Griffins	5	AL		BoxScore
14 - 2022-12-04	175	Wolves	5	Barracudas	3	AW		BoxScore
15 - 2022-12-05	188	Heat	7	Wolves	1	BL		BoxScore
16 - 2022-12-06	205	Mariners	3	Wolves	7	BW		BoxScore
17 - 2022-12-07	220	Wolves	5	Gulls	6	AL	X	BoxScore
19 - 2022-12-09	235	Eagles	3	Wolves	6	BW		BoxScore
21 - 2022-12-11	261	Roadrunners	4	Wolves	3	BL		BoxScore
22 - 2022-12-12	272	Wolves	2	Condors	8	AL		BoxScore
23 - 2022-12-13	286	Wolves	2	Reign	5	AL		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	40	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$	2,110,750$	2,110,750$	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$

Wolves Stat Leaders (Regular Season)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Wolves Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Wolves Career Team Stats

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

Wolves Stat Leaders (Play-Off)

Show or Hide Column

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Wolves Goalies Stat Leaders (Play-Off)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Wolves
	GP: 18 \| W: 5 \| L: 12 \| OTL: 1 \| P: 11 GF: 54 \| GA: 89 \| PP%: 8.20% \| PK%: 78.13% GM : James \| Morale : 50 \| Team Overall : 62