LHSDB - Ligue de hockey simulee des debiles barbus

Condors
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Depth
Transactions
Records
Web Roster Editor
Web Lines Editor

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
1	Ondrej Palat	0		X			100.00	72	38	89	70	73	86	82	67	52	72	65	66	70	81	74	29	50	69	0
2	Jakub Vrana	0		X	X		100.00	63	39	77	75	72	86	79	70	62	66	73	63	74	70	71	72	50	68	0
3	Juuso Parssinen	0	X	X			100.00	76	41	88	69	86	84	85	68	75	70	64	62	69	63	65	49	50	68	0
4	Brendan Gaunce	0	X	X			100.00	78	42	78	66	87	86	77	63	85	64	65	67	63	70	72	64	50	67	0
5	Zach Benson (R)	0		X			100.00	62	33	84	72	64	85	73	71	55	69	64	67	72	58	65	87	50	66	0
6	Ben Jones	0	X				100.00	63	40	74	64	72	95	87	62	69	63	60	61	65	67	68	47	50	65	0
7	Brian Pinho	0	X				100.00	66	37	95	60	75	85	83	58	68	61	57	59	58	69	71	40	50	63	0
8	Matthew Phillips	0			X		100.00	59	34	95	65	60	82	80	64	61	62	63	60	64	66	68	47	50	63	0
9	Nick Caamano	0		X	X		100.00	74	40	82	58	83	76	75	59	60	58	59	61	57	66	68	53	50	62	0
10	Hudson Elynuik	0	X	X			100.00	79	43	70	59	88	76	79	58	64	57	56	60	55	67	69	56	50	62	0
11	Jan Rutta	0				X	100.00	71	37	83	66	84	89	83	64	30	71	61	90	52	75	77	23	50	74	0
12	Tyson Barrie	0				X	100.00	64	34	87	75	72	90	84	72	30	81	69	63	57	83	74	39	50	71	0
13	Colin Miller	0				X	100.00	75	38	84	67	77	87	83	65	30	71	64	66	54	76	74	30	50	69	0
14	Parker Wotherspoon	0				X	100.00	69	54	74	65	76	85	78	63	30	66	58	70	50	67	69	51	50	67	0
15	Filip Roos	0			X	X	100.00	73	39	89	64	84	81	82	63	30	62	59	61	50	65	67	42	50	66	0
16	Trevor Carrick	0				X	100.00	66	41	74	63	75	83	85	62	30	66	57	58	50	70	72	48	50	65	0
17	Robbie Russo	0				X	100.00	64	39	84	62	73	72	86	57	30	61	53	56	47	71	73	49	50	63	0
Scratches
1	Taylor Hall	0		X			100.00	64	36	88	78	77	86	72	76	61	74	73	66	75	83	76	55	50	72	0
2	Tye Felhaber	0		X			96.35	59	40	70	60	68	81	72	59	62	58	60	56	59	66	68	42	50	61	0
3	Alex Gallant	0		X			100.00	77	86	52	53	70	66	77	51	55	52	53	54	50	72	74	27	50	58	0
4	Nick Jensen	0				X	80.89	71	36	95	66	78	91	89	62	30	74	57	86	50	78	74	26	50	73	0
5	Dylan McIlrath	0				X	100.00	84	82	60	63	96	75	84	61	30	65	58	60	49	72	76	53	50	67	0

	TEAM AVERAGE					98.91	70	43	81	65	77	83	81	63	50	66	61	64	59	71	71	47	50	66

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	Kaapo Kahkonen	100.00	86	84	79	84	85	84	86	85	84	86	85	70	81	57	50	82	0
2	Zane McIntyre	100.00	70	81	76	82	69	68	70	69	68	70	69	72	86	30	50	72	0
Scratches
1	Kenneth Appleby	100.00	68	75	70	93	67	66	68	67	66	68	67	69	83	36	50	71	0

	TEAM AVERAGE	100.00	75	80	75	86	74	73	75	74	73	75	74	70	83	41	50	75

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Adam Nightingale	65	59	59	66	60	56	85	USA	44	8	1,000,000$

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	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
Alex Gallant	LW	32	1992-12-08	No	177 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	300,000$	300,000$	107,143$	No	Link / NHL Link
Ben Jones	C	26	1999-02-26	No	187 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	300,000$	107,143$	No	Link / NHL Link
Brendan Gaunce	C/LW	31	1994-03-25	No	219 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	1,000,000$	1,000,000$	357,143$	No	Link / NHL Link
Brian Pinho	C	29	1995-05-11	No	190 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	500,000$	500,000$	178,571$	No	Link / NHL Link
Colin Miller	D	32	1992-10-29	No	200 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	1,567,000$	1,567,000$	559,643$	No	Link / NHL Link
Dylan McIlrath	D	33	1992-04-20	No	232 Lbs	6 ft5	No	No	No	1	UFA	Pro & Farm	499,999$	499,999$	178,571$	No	Link / NHL Link
Filip Roos	RW/D	26	1999-01-05	No	190 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	300,000$	300,000$	107,143$	No	Link / NHL Link
Hudson Elynuik	C/LW	27	1997-10-12	No	194 Lbs	6 ft5	No	No	No	3	RFA	Pro & Farm	300,000$	300,000$	107,143$	No	Link / NHL Link
Jakub Vrana	LW/RW	29	1996-02-28	No	190 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	2,500,000$	2,500,000$	892,857$	No	Link / NHL Link
Jan Rutta	D	34	1990-07-29	No	204 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	1,750,000$	1,750,000$	625,000$	No	Link / NHL Link
Juuso Parssinen	C/LW	24	2001-02-01	No	212 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	300,000$	300,000$	107,143$	No	Link / NHL Link
Kaapo Kahkonen	G	28	1996-08-16	No	217 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	2,500,000$	2,500,000$	892,857$	No	Link / NHL Link
Kenneth Appleby	G	30	1995-04-10	No	216 Lbs	6 ft5	No	No	No	2	UFA	Pro & Farm	500,000$	500,000$	178,571$	No	Link / NHL Link
Matthew Phillips	RW	27	1998-04-06	No	160 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	300,000$	300,000$	107,143$	No	Link / NHL Link
Nick Caamano	LW/RW	26	1998-09-07	No	200 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	300,000$	107,143$	No	Link / NHL Link
Nick Jensen (Out of Payroll)	D	34	1990-09-21	No	205 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	2,500,000$	0$	0$	Yes	Link / NHL Link
Ondrej Palat	LW	34	1991-03-28	No	194 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	3,500,000$	3,500,000$	1,250,000$	No	Link / NHL Link
Parker Wotherspoon	D	27	1997-08-24	No	195 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	300,000$	107,143$	No	Link / NHL Link
Robbie Russo	D	32	1993-02-15	No	191 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	300,000$	300,000$	107,143$	No	Link / NHL Link
Taylor Hall	LW	33	1991-11-14	No	210 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	3,500,000$	3,500,000$	1,250,000$	No	Link / NHL Link
Trevor Carrick	D	30	1994-07-04	No	171 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	500,000$	500,000$	178,571$	No	Link / NHL Link
Tye Felhaber	LW	26	1998-08-05	No	180 Lbs	5 ft11	No	No	No	4	RFA	Pro & Farm	300,000$	300,000$	107,143$	No	Link / NHL Link
Tyson Barrie	D	33	1991-07-26	No	197 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	3,500,000$	3,500,000$	1,250,000$	No	Link / NHL Link
Zach Benson	LW	19	2005-05-12	Yes	170 Lbs	5 ft10	No	No	No	4	ELC	Pro & Farm	900,000$	900,000$	321,429$	No	Link / NHL Link
Zane McIntyre	G	32	1992-08-20	No	206 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	500,000$	500,000$	178,571$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	29.36	196 Lbs	6 ft1	2.08	1,148,680$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
28,716,999$	17,517,000$	9,917,000$	1,200,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Juuso Parssinen	Jakub Vrana	40	1	2	2
2	Ondrej Palat	Brendan Gaunce	Filip Roos	30	1	2	2
3	Nick Caamano	Ben Jones	Matthew Phillips	20	1	2	2
4	Hudson Elynuik	Brian Pinho		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jan Rutta	Tyson Barrie	40	1	2	2
2	Colin Miller	Parker Wotherspoon	30	1	2	2
3	Trevor Carrick	Robbie Russo	20	1	2	2
4	Jan Rutta	Tyson Barrie	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Juuso Parssinen	Jakub Vrana	60	1	2	2
2	Ondrej Palat	Brendan Gaunce	Filip Roos	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jan Rutta	Tyson Barrie	60	1	2	2
2	Colin Miller	Parker Wotherspoon	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Ondrej Palat	60	1	2	2
2	Juuso Parssinen	Jakub Vrana	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jan Rutta	Tyson Barrie	60	1	2	2
2	Colin Miller	Parker Wotherspoon	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	Jan Rutta	Tyson Barrie	60	1	2	2
2	Ondrej Palat	40	1	2	2	Colin Miller	Parker Wotherspoon	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Ondrej Palat	60	1	2	2
2	Juuso Parssinen	Jakub Vrana	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jan Rutta	Tyson Barrie	60	1	2	2
2	Colin Miller	Parker Wotherspoon	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Juuso Parssinen	Jakub Vrana	Jan Rutta	Tyson Barrie

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Juuso Parssinen	Jakub Vrana	Jan Rutta	Tyson Barrie

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Ben Jones, Matthew Phillips	, Ben Jones	Matthew Phillips

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Trevor Carrick, Robbie Russo, Filip Roos	Trevor Carrick	Robbie Russo, Filip Roos

Penalty Shots
, Ondrej Palat, Juuso Parssinen, Jakub Vrana, Brendan Gaunce

Goalie
#1 : Zane McIntyre, #2 : Kaapo Kahkonen

Custom OT Lines Forwards
, Jakub Vrana, Juuso Parssinen, Ondrej Palat, Filip Roos, Brendan Gaunce, Brendan Gaunce, Ben Jones, Matthew Phillips, Brian Pinho, Nick Caamano

Custom OT Lines Defensemen
Jan Rutta, Tyson Barrie, Colin Miller, Parker Wotherspoon, Filip Roos

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

			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	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6000	5000	2000	4000	1000
Ticket Price	125	65	40	22	300
Attendance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
41	0 - 0.00%	0$	0$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	26,216,999$	0$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	24	1

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	5	0$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	8,548,102$	8,548,102$

Depth Chart

Left Wing

Center

Right Wing

Taylor Hall	AGE:33	PO:55	OV:72
Ondrej Palat	AGE:34	PO:29	OV:69
Jakub Vrana	AGE:29	PO:72	OV:68
Juuso Parssinen	AGE:24	PO:49	OV:68
Brendan Gaunce	AGE:31	PO:64	OV:67
*Zach Benson	AGE:19	PO:87	OV:66
Hudson Elynuik	AGE:27	PO:56	OV:62
Nick Caamano	AGE:26	PO:53	OV:62
Tye Felhaber	AGE:26	PO:42	OV:61
Alex Gallant	AGE:32	PO:27	OV:58

Juuso Parssinen	AGE:24	PO:49	OV:68
Brendan Gaunce	AGE:31	PO:64	OV:67
Ben Jones	AGE:26	PO:47	OV:65
Brian Pinho	AGE:29	PO:40	OV:63
Hudson Elynuik	AGE:27	PO:56	OV:62

Jakub Vrana	AGE:29	PO:72	OV:68
Filip Roos	AGE:26	PO:42	OV:66
Matthew Phillips	AGE:27	PO:47	OV:63
Nick Caamano	AGE:26	PO:53	OV:62

Defense #1

Defense #2

Goalie

Jan Rutta	AGE:34	PO:23	OV:74
Nick Jensen	AGE:34	PO:26	OV:73
Tyson Barrie	AGE:33	PO:39	OV:71
Colin Miller	AGE:32	PO:30	OV:69
Dylan McIlrath	AGE:33	PO:53	OV:67
Parker Wotherspoon	AGE:27	PO:51	OV:67

Filip Roos	AGE:26	PO:42	OV:66
Trevor Carrick	AGE:30	PO:48	OV:65
Robbie Russo	AGE:32	PO:49	OV:63
Wyatt Kalynuk	AGE:28	PO:42	OV:60
Jack Ahcan	AGE:27	PO:37	OV:60
Mitchell Vande Sompel	AGE:28	PO:55	OV:59

Kaapo Kahkonen	AGE:28	PO:57	OV:82
Zane McIntyre	AGE:32	PO:30	OV:72
Kenneth Appleby	AGE:30	PO:36	OV:71

Prospects

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

Prospect	Team Name	Draft Year	Overall Pick	Lien
Abram Wiebe	Edmonton Oilers	18	182
Aku Koskenvuo	Edmonton Oilers	17	144
Aydar Suniev	Edmonton Oilers	19	63
Blake Murray	Edmonton Oilers	15	124	Link
Cam Squires	Edmonton Oilers	19	96
Connor Kurth	Edmonton Oilers	18	150
Filip Eriksson	Edmonton Oilers	19	71
Jani Nyman	Edmonton Oilers	18	54
Jimmy Snuggerud	Edmonton Oilers	18	14
Jonathan Lekkerimaki	Edmonton Oilers	18	22
Juraj Pekarcik	Edmonton Oilers	19	69
Lucas Forsell	Edmonton Oilers	17	112
Lucas Mercuri	Edmonton Oilers	16	159
Lukas Dragicevic	Edmonton Oilers	19	47
Maros Jedlicka	Edmonton Oilers	19	134
Nick Leivermann	Edmonton Oilers	13	176
Nikola Pasic	Edmonton Oilers	15	93
Noah Ellis	Edmonton Oilers	16	191
Riley Hughes	Edmonton Oilers	14	171
Scott Morrow	Edmonton Oilers	17	22
Seamus Casey	Edmonton Oilers	18	43
Trey Augustine	Edmonton Oilers	19	38
Vladislav Yeryomenko	Edmonton Oilers	14	167
William Smith	Edmonton Oilers	19	5

Draft Picks

Year	R1	R2	R3	R4	R5	R6
20	Edm Buf Tor VGK	Clb Edm	Edm New	Edm	Edm Chi NYR	Clb Edm
21	Edm	Phi Edm Chi	Tor Car	Edm Cal Los	Edm Clb
22	Edm Cal Min	Edm Min	Tor	Edm	Edm	Edm
23	Edm	Edm	Edm	Edm	Edm	Edm
24	Edm Bos	Edm	Edm	Edm	Edm	Edm

[2025-04-19 06:05:29] - Condors didn't make playoff for year 19.
[2025-04-19 06:05:29] - Edmonton Oilers didn't make playoff for year 19.
[2025-02-12 11:40:25] - Logan Flodell has been deleted from Edmonton Oilers.
[2025-02-12 11:40:21] - Ken Appleby has been deleted from Edmonton Oilers.
[2025-02-12 11:40:18] - Jamie Devane has been deleted from Edmonton Oilers.
[2025-02-12 11:40:13] - Henrik Borgstrom has been deleted from Edmonton Oilers.
[2025-02-12 11:40:10] - Buddy Robinson has been deleted from Edmonton Oilers.
[2024-12-22 10:14:06] - Alex Gallant was added to Edmonton Oilers.
[2024-12-06 07:38:23] - Condors hired Dan Muse for $1,000,000 for 9 year(s).
[2024-12-01 13:46:44] - TRADE : From Minnesota Wild to Edmonton Oilers : Y:22-RND:1-Min.
[2024-12-01 13:46:44] - TRADE : From Edmonton Oilers to Minnesota Wild : J.T. Compher (74), Y:22-RND:3-Cal.
[2024-12-01 13:46:04] - TRADE : From Minnesota Wild to Edmonton Oilers : Y:22-RND:2-Min.
[2024-12-01 13:46:04] - TRADE : From Edmonton Oilers to Minnesota Wild : Dmitry Orlov (74).
[2024-12-01 13:00:13] - Condors fired Jim Montgomery.
[2024-10-11 05:52:51] - TRADE : From Edmonton Oilers to Boston Bruins : Chad Ruhwedel (69).
[2024-10-11 05:52:51] - TRADE : From Boston Bruins to Edmonton Oilers : Y:21-RND:5-Clb.

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
6	42	23	12	0	2	1	2	2	144	113	31	19	12	4	0	1	0	1	1	67	48	19	23	11	8	0	1	1	1	1	77	65	12	51	144	238	382	0	1	0	30	48	62	1349	0	398	464	479	1322	455	674	872	133	26	19.55%	128	15	88.28%	1	487	986	49.39%	523	1029	50.83%	345	686	50.29%	885	497	3023	1304	765	387
6	82	43	26	0	5	2	3	3	258	224	34	41	23	13	0	1	0	2	2	130	111	19	41	20	13	0	4	2	1	1	128	113	15	98	258	425	683	0	2	0	52	95	103	2602	0	742	918	925	2607	883	1185	1713	246	50	20.33%	268	43	83.96%	6	989	1930	51.24%	998	1964	50.81%	722	1359	53.13%	1716	965	3891	1674	1487	743
8	82	33	34	0	2	2	6	5	191	196	-5	41	20	13	0	2	0	5	1	111	90	21	41	13	21	0	0	2	1	4	80	106	-26	89	191	327	518	4	8	0	67	61	55	2171	0	694	714	735	2088	583	731	1624	307	38	12.38%	286	38	86.71%	3	1480	2674	55.35%	1351	2605	51.86%	621	1158	53.63%	2086	1474	1856	598	1039	524
9	82	33	31	0	0	2	7	9	181	191	-10	41	19	13	0	0	1	4	4	99	90	9	41	14	18	0	0	1	3	5	82	101	-19	91	181	315	496	3	10	0	61	47	66	1812	0	592	562	628	2056	593	687	1632	311	48	15.43%	283	49	82.69%	3	1295	2469	52.45%	1329	2541	52.30%	630	1185	53.16%	2094	1462	1859	603	1048	533
10	82	27	39	0	1	2	9	4	204	226	-22	41	14	20	0	1	1	4	1	92	109	-17	41	13	19	0	0	1	5	3	112	117	-5	80	204	348	552	4	7	0	57	74	63	2002	0	627	685	667	2261	665	693	1618	270	41	15.19%	293	60	79.52%	0	1376	2584	53.25%	1378	2704	50.96%	644	1198	53.76%	1988	1385	1961	606	1043	518
12	82	38	33	0	2	4	2	3	271	249	22	41	21	16	0	0	1	2	1	141	123	18	41	17	17	0	2	3	0	2	130	126	4	91	271	477	748	3	4	0	79	87	101	2661	0	838	874	935	2553	773	924	1624	288	59	20.49%	330	62	81.21%	5	1557	3009	51.74%	1464	2876	50.90%	673	1294	52.01%	1987	1385	1937	591	1030	512
13	82	30	33	0	4	6	6	3	252	257	-5	41	13	18	0	2	3	2	3	128	140	-12	41	17	15	0	2	3	4	0	124	117	7	89	252	447	699	2	3	0	90	72	80	2608	0	787	851	934	2470	743	785	1695	326	52	15.95%	318	67	78.93%	3	1534	2987	51.36%	1430	2832	50.49%	673	1306	51.53%	2006	1398	1940	588	1033	519
14	82	35	34	0	3	3	6	1	227	217	10	41	17	17	0	2	2	3	0	110	107	3	41	18	17	0	1	1	3	1	117	110	7	92	227	394	621	0	5	0	82	71	65	2463	0	808	773	854	2310	633	613	1762	321	66	20.56%	268	52	80.60%	3	1480	2963	49.95%	1314	2723	48.26%	583	1216	47.94%	1999	1389	1932	599	1036	526
15	82	43	23	0	4	4	4	4	249	196	53	41	23	10	0	2	3	2	1	128	91	37	41	20	13	0	2	1	2	3	121	105	16	110	249	449	698	1	7	0	97	80	64	2444	0	822	784	808	2203	658	692	1723	376	75	19.95%	293	57	80.55%	1	1392	2863	48.62%	1294	2726	47.47%	653	1259	51.87%	2009	1406	1940	608	1030	514
16	82	32	28	0	3	6	7	6	228	226	2	41	19	15	0	0	3	1	3	111	106	5	41	13	13	0	3	3	6	3	117	120	-3	96	228	402	630	2	4	0	75	76	67	2226	0	705	766	720	2248	648	665	1706	321	55	17.13%	280	44	84.29%	2	1417	2697	52.54%	1397	2746	50.87%	608	1211	50.21%	2026	1422	1954	609	1030	512
17	82	39	27	0	6	3	4	3	237	214	23	41	20	14	0	2	1	2	2	116	89	27	41	19	13	0	4	2	2	1	121	125	-4	104	237	429	666	4	5	0	85	77	65	2456	0	800	839	784	2276	622	511	1642	304	42	13.82%	240	34	85.83%	1	1445	2836	50.95%	1405	2747	51.15%	653	1232	53.00%	2012	1409	1925	597	1029	517
18	82	18	48	0	6	5	2	3	170	265	-95	41	12	19	0	3	4	1	2	92	117	-25	41	6	29	0	3	1	1	1	78	148	-70	60	170	315	485	0	5	0	61	46	55	1724	0	611	499	591	2762	795	776	1809	260	48	18.46%	344	79	77.03%	2	1127	2312	48.75%	1475	3098	47.61%	559	1194	46.82%	1718	1137	2218	628	1030	484
Total Regular Season	944	394	368	0	38	40	58	46	2612	2574	38	470	213	172	0	16	19	29	21	1325	1221	104	474	181	196	0	22	21	29	25	1287	1353	-66	1051	2612	4566	7178	23	61	0	836	834	846	26518	0	8424	8729	9060	27156	8051	8936	19420	3463	600	17.33%	3331	600	81.99%	30	15579	30310	51.40%	15358	30591	50.20%	7364	14298	51.50%	22529	15335	26442	9011	12606	6295
Playoff
6	13	6	7	0	0	0	0	0	34	42	-8	7	3	4	0	0	0	0	0	19	22	-3	6	3	3	0	0	0	0	0	15	20	-5	12	34	57	91	0	0	0	3	13	16	433	0	129	167	131	450	148	188	286	21	2	9.52%	38	6	84.21%	1	168	299	56.19%	176	324	54.32%	119	213	55.87%	276	160	4169	1790	233	112
9	7	3	4	0	0	0	0	0	12	15	-3	3	1	2	0	0	0	0	0	4	8	-4	4	2	2	0	0	0	0	0	8	7	1	6	12	22	34	0	0	0	7	3	2	129	0	48	47	34	215	59	75	169	21	5	23.81%	29	5	82.76%	0	82	192	42.71%	100	236	42.37%	58	108	53.70%	164	111	167	46	87	44
14	22	16	6	0	0	0	0	0	73	58	15	10	8	2	0	0	0	0	0	35	23	12	12	8	4	0	0	0	0	0	38	35	3	32	73	131	204	0	0	0	35	23	15	659	0	243	212	198	611	189	170	467	92	18	19.57%	67	11	83.58%	0	387	811	47.72%	351	723	48.55%	143	332	43.07%	519	357	534	167	284	142
15	24	12	12	0	0	0	0	0	64	64	0	13	9	4	0	0	0	0	0	40	26	14	11	3	8	0	0	0	0	0	24	38	-14	24	64	116	180	0	2	0	28	19	16	677	0	217	224	225	647	192	233	533	104	24	23.08%	91	15	83.52%	1	388	836	46.41%	393	809	48.58%	178	364	48.90%	568	392	587	178	302	149
17	7	3	4	0	0	0	0	0	20	15	5	3	1	2	0	0	0	0	0	6	5	1	4	2	2	0	0	0	0	0	14	10	4	6	20	34	54	0	1	0	5	12	3	194	0	50	79	65	205	49	51	120	33	5	15.15%	21	2	90.48%	0	124	250	49.60%	127	254	50.00%	52	105	49.52%	170	119	164	53	85	42
Total Playoff	73	40	33	0	0	0	0	0	203	194	9	36	22	14	0	0	0	0	0	104	84	20	37	18	19	0	0	0	0	0	99	110	-11	80	203	360	563	0	3	0	78	70	52	2092	0	687	729	653	2128	637	717	1575	271	54	19.93%	246	39	84.15%	2	1149	2388	48.12%	1147	2346	48.89%	550	1122	49.02%	1699	1141	5624	2235	992	490