Reddit Hockey League

Oilers
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Canucks
0-0-0, 0pts

2022-09-14

Condors
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0.00	Goals Per Game	0.00
0.00	Goals Against Per Game	0.00
0.00%	Power Play Percentage	0.00%
0.00%	Penalty Kill Percentage	0.00%

Heat
0-0-0, 0pts

2022-09-17

Condors
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0.00	Goals Per Game	0.00
0.00	Goals Against Per Game	0.00
0.00%	Power Play Percentage	0.00%
0.00%	Penalty Kill Percentage	0.00%

Americans
0-0-0, 0pts

2022-09-20

Condors
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0.00	Goals Per Game	0.00
0.00	Goals Against Per Game	0.00
0.00%	Power Play Percentage	0.00%
0.00%	Penalty Kill Percentage	0.00%

Team Leaders

Team Stats
Goals For 0 0.00 GFG	Shots For 0 0.00 Avg	Power Play Percentage 0.0% 0 GF	Offensive Zone Start 0.0%
Goals Against 0 0.00 GAA	Shots Against 0 0.00 Avg	Penalty Kill Percentage 0.0% 0 GA	Defensive Zone Start 0.0%

Team Info
	General Manager	OilCountry
	Coach	Dallas Eakins
	Division	Pacific Division
	Conference	Western Conference
	Captain	Nate Thompson
	Assistant #1	Matt Martin
	Assistant #2	Cal O'Reilly
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	22
	Farm Team	18
	Contract Limit	40 / 90
	Prospects	17
Team History
	This Season	0-0-0 (0PTS)
	History	86-68-14 (0.512%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	Stanley Cup	0

Show or Hide Column

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Jason Dickinson	0	X				100.00	83	50	87	62	84	81	71	58	64	62	60	68	60	63	71	0	40	62	0	27	2	1,000,000$
2	Matt Martin (A)	0		X			100.00	99	65	83	56	90	78	73	51	54	60	57	64	59	79	87	0	40	61	0	33	2	850,000$
3	Nate Thompson (C)	0	X				100.00	80	51	82	58	85	78	54	52	84	61	56	70	58	81	86	0	40	61	0	38	1	950,000$
4	Andrew Agozzino	0		X			100.00	99	47	75	61	79	60	53	60	51	65	63	61	62	63	76	0	40	60	0	31	1	750,000$
5	Cal O'Reilly (A)	0	X				100.00	50	42	75	59	80	60	53	61	60	66	62	62	61	81	85	0	40	60	0	36	1	750,000$
6	Lukas Reichel (R)	0		X			100.00	50	38	77	64	77	60	53	63	52	69	63	58	73	52	62	0	40	59	0	20	3	925,000$
7	Greg McKegg	0	X				100.00	73	44	85	60	82	76	57	50	67	61	58	66	59	71	77	0	40	59	0	30	1	750,000$
8	Matthew Peca	0	X				100.00	57	40	76	62	78	60	56	63	56	68	63	59	62	67	73	0	40	59	0	29	1	1,000,000$
9	Samuel Fagemo (R)	0	X	X	X		100.00	56	50	76	56	83	60	53	60	40	63	65	61	63	53	62	0	40	57	0	22	2	850,000$
10	Arnaud Durandeau	0		X			100.00	50	40	75	59	79	60	42	59	40	65	61	62	61	53	62	0	40	56	0	23	2	1,000,000$
11	Grigori Denisenko	0		X			100.00	70	42	75	59	80	60	35	59	40	64	63	59	62	51	61	0	40	56	0	22	2	925,000$
12	Chad Yetman (R)	0	X	X	X		100.00	50	40	75	56	78	60	29	53	40	61	57	62	59	51	61	0	40	54	0	22	2	750,000$
13	Andrej Sustr	0				X	100.00	59	49	81	54	91	66	57	68	20	65	59	70	60	71	76	0	40	62	0	31	2	800,000$
14	Juuso Riikola	0				X	100.00	95	42	76	60	81	60	48	73	20	70	58	66	59	53	66	0	40	62	0	28	2	900,000$
15	Sean Day	0				X	100.00	90	55	75	53	89	60	55	71	20	67	62	67	61	52	65	0	40	62	0	24	2	850,000$
16	Adam Clendening	0				X	100.00	50	44	75	56	82	60	52	72	20	68	59	68	60	64	72	0	40	60	0	29	1	750,000$
17	Ryan Shea (R)	0				X	100.00	50	44	75	59	79	60	44	70	20	67	57	68	59	52	62	0	40	58	0	25	2	950,000$
18	Ilya Solovyov (R)	0				X	100.00	50	49	75	48	88	60	29	64	20	60	58	68	59	52	61	0	40	56	0	22	2	925,000$
Scratches
1	Cameron Morrison (R)	0		X			100.00	50	47	75	51	87	60	21	55	40	62	58	62	59	51	61	0	40	54	0	24	1	850,000$

	TEAM AVERAGE					100.00	66	46	78	58	83	64	49	61	43	64	60	64	61	61	70	0	40	59

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Aaron Dell	100.00	63	71	68	83	68	67	65	69	67	65	66	84	75	0	40	68	0
2	Andrew Hammond	100.00	63	68	65	86	68	67	66	68	67	64	66	86	76	0	40	68	0
Scratches
1	Michael Hutchinson	100.00	59	67	64	87	63	63	62	64	63	60	62	83	74	0	40	65	0

	TEAM AVERAGE	100.00	62	69	66	85	66	66	64	67	66	63	65	84	75	0	40	67

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dallas Eakins	75	75	75	75	75	75	75	USA	56	8	500,000$

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	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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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 Average	Salary Ave Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Aaron Dell	Condors (EDM)	G	33	5/4/1989	No	201 Lbs	6 ft0	No	No	No	1	Pro & Farm	800,000$	791,534$	800,000$	791,534$	0$	0$	No			Link
Adam Clendening	Condors (EDM)	D	29	10/26/1992	No	196 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	742,063$	750,000$	742,063$	0$	0$	No			Link
Andrej Sustr	Condors (EDM)	D	31	11/29/1990	No	217 Lbs	6 ft7	No	No	No	2	Pro & Farm	800,000$	791,534$	800,000$	791,534$	0$	0$	No	800,000$		Link
Andrew Agozzino	Condors (EDM)	LW	31	1/3/1991	No	187 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	742,063$	750,000$	742,063$	0$	0$	No			Link
Andrew Hammond	Condors (EDM)	G	34	2/11/1988	No	223 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	791,534$	800,000$	791,534$	0$	0$	No			Link
Arnaud Durandeau	Condors (EDM)	LW	23	1/14/1999	No	181 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,000,000$	989,418$	1,000,000$	989,418$	0$	0$	No	1,000,000$		Link
Cal O'Reilly	Condors (EDM)	C	36	9/30/1986	No	186 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	742,063$	750,000$	742,063$	0$	0$	No			Link
Cameron Morrison	Condors (EDM)	LW	24	8/27/1998	Yes	209 Lbs	6 ft3	No	No	No	1	Pro & Farm	850,000$	841,005$	850,000$	841,005$	0$	0$	No			Link
Chad Yetman	Condors (EDM)	C/LW/RW	22	2/18/2000	Yes	179 Lbs	5 ft11	No	No	No	2	Pro & Farm	750,000$	742,063$	750,000$	742,063$	0$	0$	No	750,000$		Link
Greg McKegg	Condors (EDM)	C	30	6/17/1992	No	195 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	742,063$	750,000$	742,063$	0$	0$	No			Link
Grigori Denisenko	Condors (EDM)	LW	22	6/24/2000	No	186 Lbs	5 ft11	No	No	No	2	Pro & Farm	925,000$	915,212$	925,000$	915,212$	0$	0$	No	925,000$		Link
Ilya Solovyov	Condors (EDM)	D	22	7/20/2000	Yes	215 Lbs	6 ft3	No	No	No	2	Pro & Farm	925,000$	915,212$	925,000$	915,212$	0$	0$	No	925,000$		Link
Jason Dickinson	Condors (EDM)	C	27	7/4/1995	No	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	1,000,000$	989,418$	1,000,000$	989,418$	0$	0$	No	1,000,000$		Link
Juuso Riikola	Condors (EDM)	D	28	11/9/1993	No	189 Lbs	6 ft0	No	No	No	2	Pro & Farm	900,000$	890,476$	900,000$	890,476$	0$	0$	No	900,000$		Link
Lukas Reichel	Condors (EDM)	LW	20	5/17/2002	Yes	170 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	915,212$	925,000$	915,212$	0$	0$	No	925,000$	925,000$	Link
Matt Martin	Condors (EDM)	LW	33	5/8/1989	No	220 Lbs	6 ft3	No	No	No	2	Pro & Farm	850,000$	841,005$	850,000$	841,005$	0$	0$	No	850,000$		Link
Matthew Peca	Condors (EDM)	C	29	4/27/1993	No	181 Lbs	5 ft10	No	No	No	1	Pro & Farm	1,000,000$	989,418$	1,000,000$	989,418$	0$	0$	No			Link
Michael Hutchinson	Condors (EDM)	G	32	7/1/1990	No	201 Lbs	6 ft3	No	No	No	1	Pro & Farm	1,000,000$	989,418$	1,000,000$	989,418$	0$	0$	No			Link
Nate Thompson	Condors (EDM)	C	38	10/5/1984	No	205 Lbs	6 ft1	No	No	No	1	Pro & Farm	950,000$	939,947$	950,000$	939,947$	0$	0$	No			Link
Ryan Shea	Condors (EDM)	D	25	2/11/1997	Yes	177 Lbs	6 ft1	No	No	No	2	Pro & Farm	950,000$	939,947$	950,000$	939,947$	0$	0$	No	950,000$		Link
Samuel Fagemo	Condors (EDM)	C/LW/RW	22	3/14/2000	Yes	200 Lbs	6 ft0	No	No	No	2	Pro & Farm	850,000$	841,005$	850,000$	841,005$	0$	0$	No	850,000$		Link
Sean Day	Condors (EDM)	D	24	1/9/1998	No	218 Lbs	6 ft3	No	No	No	2	Pro & Farm	850,000$	841,005$	850,000$	841,005$	0$	0$	No	850,000$		Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	27.95	197 Lbs	6 ft1	1.59	869,318$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matt Martin	Jason Dickinson	Samuel Fagemo	35	1	2	2
2	Andrew Agozzino	Nate Thompson	Chad Yetman	35	1	2	2
3	Lukas Reichel	Cal O'Reilly	Jason Dickinson	20	1	2	2
4	Grigori Denisenko	Matthew Peca	Nate Thompson	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sean Day	Juuso Riikola	35	1	2	2
2	Andrej Sustr	Adam Clendening	35	1	2	2
3	Ryan Shea	Ilya Solovyov	20	1	2	2
4	Sean Day	Juuso Riikola	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Matt Martin	Jason Dickinson	Samuel Fagemo	60	1	2	2
2	Andrew Agozzino	Nate Thompson	Chad Yetman	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sean Day	Juuso Riikola	60	1	2	2
2	Andrej Sustr	Adam Clendening	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jason Dickinson	Nate Thompson	60	1	2	2
2	Matt Martin	Cal O'Reilly	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sean Day	Juuso Riikola	60	1	2	2
2	Andrej Sustr	Adam Clendening	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Jason Dickinson	60	1	2	2	Sean Day	Juuso Riikola	60	1	2	2
2	Nate Thompson	40	1	2	2	Andrej Sustr	Adam Clendening	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jason Dickinson	Nate Thompson	60	1	2	2
2	Matt Martin	Cal O'Reilly	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Sean Day	Juuso Riikola	60	1	2	2
2	Andrej Sustr	Adam Clendening	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Matt Martin	Jason Dickinson	Samuel Fagemo	Sean Day	Juuso Riikola

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Matt Martin	Jason Dickinson	Samuel Fagemo	Sean Day	Juuso Riikola

Extra Forwards
Normal	PowerPlay	Penalty Kill
Greg McKegg, Arnaud Durandeau, Matthew Peca	Greg McKegg, Arnaud Durandeau	Matthew Peca

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ryan Shea, Ilya Solovyov, Andrej Sustr	Ryan Shea	Ilya Solovyov, Andrej Sustr

Penalty Shots
Jason Dickinson, Nate Thompson, Matt Martin, Cal O'Reilly, Matthew Peca

Goalie
#1 : Andrew Hammond, #2 : Aaron Dell

Custom OT Lines Forwards
Jason Dickinson, Nate Thompson, Matt Martin, Cal O'Reilly, Matthew Peca, Andrew Agozzino, Andrew Agozzino, Greg McKegg, Lukas Reichel, Grigori Denisenko, Samuel Fagemo

Custom OT Lines Defensemen
Sean Day, Juuso Riikola, Andrej Sustr, Adam Clendening, Ryan Shea

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0.00%	0	0	0.00%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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
6 - 2022-09-14	10	Canucks	-	Condors	-
9 - 2022-09-17	37	Heat	-	Condors	-
12 - 2022-09-20	54	Americans	-	Condors	-
14 - 2022-09-22	69	Wolves	-	Condors	-
16 - 2022-09-24	76	Thunderbirds	-	Condors	-
18 - 2022-09-26	94	Penguins	-	Condors	-
20 - 2022-09-28	109	Condors	-	Thunderbirds	-
21 - 2022-09-29	116	Condors	-	IceHogs	-
23 - 2022-10-01	138	Condors	-	Heat	-
26 - 2022-10-04	154	Admirals	-	Condors	-
28 - 2022-10-06	170	Comets	-	Condors	-
30 - 2022-10-08	178	Stars	-	Condors	-
32 - 2022-10-10	195	Condors	-	Bears	-
33 - 2022-10-11	202	Condors	-	Crunch	-
35 - 2022-10-13	212	Condors	-	Wolves	-
37 - 2022-10-15	226	Condors	-	Checkers	-
41 - 2022-10-19	259	Reign	-	Condors	-
44 - 2022-10-22	287	Silver Knights	-	Condors	-
46 - 2022-10-24	293	Condors	-	Comets	-
48 - 2022-10-26	310	Condors	-	Islanders	-
51 - 2022-10-29	332	Condors	-	Wolf Pack	-
53 - 2022-10-31	351	Checkers	-	Condors	-
55 - 2022-11-02	364	Condors	-	IceHogs	-
56 - 2022-11-03	370	Condors	-	Wild	-
58 - 2022-11-05	380	Rocket	-	Condors	-
60 - 2022-11-07	400	Bears	-	Condors	-
62 - 2022-11-09	416	Roadrunners	-	Condors	-
64 - 2022-11-11	429	Wild	-	Condors	-
67 - 2022-11-14	452	Condors	-	Wild	-
68 - 2022-11-15	461	Condors	-	Admirals	-
70 - 2022-11-17	480	Thunderbirds	-	Condors	-
72 - 2022-11-19	486	Gulls	-	Condors	-
74 - 2022-11-21	505	Condors	-	Admirals	-
76 - 2022-11-23	522	Condors	-	Stars	-
78 - 2022-11-25	542	Canucks	-	Condors	-
82 - 2022-11-29	555	Condors	-	Heat	-
85 - 2022-12-02	577	Condors	-	Firebirds	-
86 - 2022-12-03	588	Moose	-	Condors	-
89 - 2022-12-06	606	Firebirds	-	Condors	-
91 - 2022-12-08	618	Islanders	-	Condors	-
93 - 2022-12-10	635	Eagles	-	Condors	-
95 - 2022-12-12	647	Condors	-	Reign	-
97 - 2022-12-14	660	Condors	-	Gulls	-
99 - 2022-12-16	676	Condors	-	Barracuda	-
100 - 2022-12-17	689	Condors	-	Silver Knights	-
103 - 2022-12-20	711	Firebirds	-	Condors	-
105 - 2022-12-22	725	Crunch	-	Condors	-
107 - 2022-12-24	744	Condors	-	Canucks	-
111 - 2022-12-28	768	Monsters	-	Condors	-
114 - 2022-12-31	798	IceHogs	-	Condors	-
124 - 2023-01-10	815	Condors	-	Griffins	-
126 - 2023-01-12	822	Condors	-	Phantoms	-
128 - 2023-01-14	834	Condors	-	Senators	-
129 - 2023-01-15	846	Condors	-	Rocket	-
132 - 2023-01-18	866	Griffins	-	Condors	-
134 - 2023-01-20	881	Wolf Pack	-	Condors	-
136 - 2023-01-22	898	Condors	-	Eagles	-
138 - 2023-01-24	916	Phantoms	-	Condors	-
140 - 2023-01-26	922	Condors	-	Penguins	-
142 - 2023-01-28	936	Condors	-	Monsters	-
144 - 2023-01-30	954	Bruins	-	Condors	-
146 - 2023-02-01	969	Marlies	-	Condors	-
148 - 2023-02-03	985	Moose	-	Condors	-
149 - 2023-02-04	995	Condors	-	Moose	-
151 - 2023-02-06	1007	Condors	-	Americans	-
154 - 2023-02-09	1026	Condors	-	Bruins	-
156 - 2023-02-11	1043	Condors	-	Marlies	-
159 - 2023-02-14	1071	Senators	-	Condors	-
161 - 2023-02-16	1086	Stars	-	Condors	-
163 - 2023-02-18	1098	Condors	-	Firebirds	-
165 - 2023-02-20	1118	Barracuda	-	Condors	-
167 - 2023-02-22	1134	Roadrunners	-	Condors	-
170 - 2023-02-25	1163	Silver Knights	-	Condors	-
172 - 2023-02-27	1175	Condors	-	Roadrunners	-
173 - 2023-02-28	1184	Condors	-	Silver Knights	-
175 - 2023-03-02	1197	Reign	-	Condors	-
177 - 2023-03-04	1216	Gulls	-	Condors	-
180 - 2023-03-07	1237	Condors	-	Reign	-
181 - 2023-03-08	1242	Condors	-	Gulls	-
184 - 2023-03-11	1259	Condors	-	Barracuda	-
187 - 2023-03-14	1292	Condors	-	Eagles	-
189 - 2023-03-16	1308	Barracuda	-	Condors	-

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

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
20,238$	1,912,500$	1,912,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
10,119$	20,238$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	187	10,119$	1,892,253$

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
Regular Season
11	82	34	34	0	6	4	3	1	197	203	-6	41	20	14	0	4	1	1	1	103	91	12	41	14	20	0	2	3	2	0	94	112	-18	91	197	317	514	2	9	23	79	86	12	2243	584	830	802	43	2316	795	300	1761	112	39	34.82%	117	40	65.81%	1	697	1410	49.43%	694	1418	48.94%	504	989	50.96%	1560	731	1605	829	1792	896
11	82	34	34	0	6	4	3	1	197	203	-6	41	20	14	0	4	1	1	1	103	91	12	41	14	20	0	2	3	2	0	94	112	-18	91	197	317	514	2	9	23	79	86	12	2243	584	830	802	43	2316	795	300	1761	112	39	34.82%	117	40	65.81%	1	697	1410	49.43%	694	1418	48.94%	504	989	50.96%	1560	731	1605	829	1792	896
Total Regular Season	164	68	68	0	12	8	6	2	394	406	-12	82	40	28	0	8	2	2	2	206	182	24	82	28	40	0	4	6	4	0	188	224	-36	182	394	634	1028	4	18	46	158	172	24	4486	1168	1660	1604	86	4632	1590	600	3522	224	78	34.82%	234	80	65.81%	2	1394	2820	49.43%	1388	2836	48.94%	1008	1978	50.96%	3120	1462	3210	1659	3584	1792

	Condors
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : OilCountry \| Morale : 40 \| Team Overall : 60 Next Games #10 vs Canucks