PSL - Pro Simulation League

Condors
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Depth
Transactions
Records

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	Auston Matthews	X	X			97.00	66	37	91	81	86	91	84	86	88	82	85	84	83	76	87	74	75	78	0
2	Kirill Marchenko			X		97.00	67	37	90	82	84	88	89	79	56	81	80	67	83	67	71	69	75	74	0
3	Anze Kopitar	X				100.00	62	38	95	72	88	90	88	76	87	79	71	72	74	95	96	33	75	74	0
4	Ryan Nugent-Hopkins	X	X			99.00	60	38	91	77	76	90	88	76	78	80	74	78	75	87	79	55	75	73	0
5	Boone Jenner	X	X			98.00	78	51	84	72	81	87	76	73	82	77	70	79	71	83	90	45	75	72	0
6	Dylan Cozens	X		X		100.00	83	46	75	79	84	88	90	78	82	76	74	66	77	68	70	84	75	72	0
7	Sam Bennett	X	X	X		100.00	76	71	69	79	75	88	89	74	77	76	78	68	73	79	75	71	75	72	0
8	Ryan Poehling	X	X			100.00	63	36	95	74	82	84	87	68	79	73	66	90	67	69	71	69	75	70	0
9	Zack Bolduc	X		X		100.00	75	38	86	73	72	82	89	71	67	68	64	62	66	63	65	82	75	67	0
10	Paul Cotter	X	X	X		100.00	84	43	82	72	83	79	90	66	82	60	65	63	67	68	69	51	75	67	0
11	Ty Dellandrea	X		X		100.00	83	44	78	69	77	80	82	64	81	62	60	79	63	67	66	81	75	66	0
12	Joe Veleno	X	X			100.00	80	42	92	70	78	80	85	65	79	60	61	67	62	68	67	74	75	66	0
13	Jakob Chychrun				X	97.00	67	43	76	80	83	93	89	75	30	79	82	68	62	74	75	70	75	73	0
14	Neal Pionk				X	100.00	77	37	78	73	72	93	82	69	30	77	68	83	56	76	73	34	75	71	0
15	Cam Fowler				X	98.00	55	37	94	74	83	92	88	72	30	79	65	71	56	89	76	43	75	71	0
16	Connor Murphy				X	100.00	73	66	74	65	89	87	88	62	30	73	58	91	50	83	73	49	75	69	0
17	Nate Schmidt				X	100.00	71	39	90	70	74	89	90	67	30	73	61	72	53	84	76	23	75	69	0
18	Oliver Ekman-Larsson				X	100.00	72	36	75	71	78	91	89	68	30	78	63	64	53	89	76	45	75	69	0
Scratches
1	Mark Scheifele	X				94.05	65	57	80	81	85	91	90	82	78	86	84	69	83	86	84	52	75	76	0

	TEAM AVERAGE					98.95	71	44	84	74	81	88	87	72	63	75	70	73	67	77	76	58	75	71

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	Mackenzie Blackwood	100.00	94	89	84	91	93	92	94	93	92	94	93	76	84	59	75	77	0
2	Stuart Skinner	100.00	91	92	86	89	90	89	91	90	89	91	90	72	81	53	75	75	0
Scratches

	TEAM AVERAGE	100.00	93	91	85	90	92	91	93	92	91	93	92	74	83	56	75	76

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jon Cooper	79	90	94	80	88	82	58	CAN	59	3	3,000,000$

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	PKS	PKM	GW	GT	FO%	FOT	P/20	PSG	PSS	FW	S1	S2	S3
1	Anze Kopitar	Oilers	C	10	3	9	12	5	0	0	5	33	32	5	24	9.38%	3	175	17.56	0	2	2	8	26	0	0	0	0	61.43%	223	1.37	0	0	0	2	1	0
2	Ryan Nugent-Hopkins	Oilers	C/LW	10	6	4	10	3	0	0	4	16	32	6	23	18.75%	5	195	19.60	3	0	3	6	26	0	27	2	0	66.67%	18	1.02	0	0	0	1	1	1
3	Auston Matthews	Oilers	C/LW	10	6	4	10	-4	2	0	8	26	55	14	36	10.91%	3	194	19.47	3	2	5	12	31	0	0	2	0	58.33%	24	1.03	0	0	0	1	0	0
4	Boone Jenner	Oilers	C/LW	10	0	7	7	-3	2	0	19	12	19	8	19	0.00%	3	180	18.01	0	5	5	3	22	0	24	0	0	47.62%	126	0.78	0	1	0	0	0	0
5	Kirill Marchenko	Oilers	RW	10	3	3	6	-6	6	0	13	15	28	9	26	10.71%	0	192	19.28	2	2	4	9	31	0	0	0	0	46.15%	13	0.62	0	0	0	0	1	0
6	Jakob Chychrun	Oilers	D	10	3	3	6	-4	6	0	30	10	19	3	10	15.79%	13	231	23.16	3	2	5	8	30	1	9	0	0	0.00%	0	0.52	0	0	0	0	1	1
7	Neal Pionk	Oilers	D	10	0	5	5	0	14	0	18	19	13	4	6	0.00%	21	209	20.94	0	1	1	8	27	0	22	0	0	0.00%	0	0.48	0	0	0	0	0	0
8	Cam Fowler	Oilers	D	10	1	4	5	-6	4	0	4	8	10	5	6	10.00%	11	219	21.91	0	3	3	5	30	0	1	0	1	0.00%	0	0.46	0	0	0	0	0	0
9	Ryan Poehling	Oilers	C/LW	10	2	2	4	-2	0	0	0	27	25	10	16	8.00%	7	152	15.22	0	0	0	0	0	0	26	0	0	52.60%	173	0.53	1	1	0	0	0	1
10	Oliver Ekman-Larsson	Oilers	D	10	0	4	4	0	2	0	10	5	6	5	10	0.00%	14	213	21.33	0	2	2	2	27	0	27	0	0	0.00%	0	0.38	0	0	0	0	0	1
11	Sam Bennett	Oilers	C/LW/RW	10	2	2	4	3	10	0	20	8	26	9	21	7.69%	1	168	16.88	0	2	2	6	26	0	0	1	0	53.33%	15	0.47	0	0	0	0	1	0
12	Dylan Cozens	Oilers	C/RW	10	0	3	3	-2	6	0	21	13	10	6	16	0.00%	0	125	12.53	0	0	0	0	0	0	0	0	0	50.00%	8	0.48	0	0	0	0	0	0
13	Ty Dellandrea	Oilers	C/RW	10	1	0	1	1	5	5	12	8	9	2	5	11.11%	0	95	9.58	0	0	0	0	0	0	29	0	0	40.00%	10	0.21	0	0	1	0	0	1
14	Joe Veleno	Oilers	C/LW	8	0	1	1	-6	0	0	18	6	7	0	3	0.00%	0	119	14.92	0	0	0	0	0	0	3	0	0	52.14%	140	0.17	0	0	0	1	0	0
15	Connor Murphy	Oilers	D	10	0	1	1	0	6	0	18	12	4	1	4	0.00%	12	170	17.00	0	0	0	0	0	0	24	0	0	0.00%	0	0.12	0	0	0	0	0	0
16	Nate Schmidt	Oilers	D	10	1	0	1	0	0	0	12	8	4	2	5	25.00%	9	165	16.59	0	0	0	0	0	0	27	0	0	0.00%	0	0.12	0	0	0	0	0	1
17	Zack Bolduc	Oilers	C/RW	10	0	0	0	-1	2	0	3	3	5	0	6	0.00%	0	59	5.92	0	0	0	0	0	0	0	0	0	50.00%	2	0.00	0	0	0	0	0	0
18	Mark Scheifele	Oilers	C	2	0	0	0	-1	0	0	7	10	7	2	4	0.00%	0	35	17.98	0	0	0	1	8	0	0	0	0	45.65%	46	0.00	0	0	0	0	0	0
19	Paul Cotter	Oilers	C/LW/RW	10	0	0	0	-1	4	0	2	8	5	4	2	0.00%	0	64	6.44	0	0	0	0	0	0	1	0	0	56.34%	71	0.00	0	0	0	0	0	0
Team Total or Average				180	28	52	80	-24	69	5	224	247	316	95	242	8.86%	102	2969	16.50	11	21	32	68	286	1	226	5	1	54.20%	869	0.54	1	2	1	5	5	6

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	PCT	GAA	MP	PIM	GA	SA	PS %	PSA	ST	BG
1	Mackenzie Blackwood	Oilers	9	6	3	0.894	2.76	521	2	24	227	1.000	3	9	1
2	Stuart Skinner	Oilers	2	0	1	0.909	2.09	86	0	3	33	0.000	0	1	9
Team Total or Average			11	6	4	0.896	2.67	607	2	27	260	1.000	3	10	10

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
Anze Kopitar	C	39	1987-08-24	No	225 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	7,000,000$	7,000,000$	7,000,000$	No	Link / NHL Link
Auston Matthews	C/LW	28	1997-09-17	No	215 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	11,640,250$	11,640,250$	11,640,250$	No	Link / NHL Link
Boone Jenner	C/LW	33	1993-06-15	No	204 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	No	Link / NHL Link
Cam Fowler	D	34	1991-12-05	No	213 Lbs	6 ft2	No	No	No	4	UFA	Pro & Farm	6,500,000$	6,500,000$	6,500,000$	No	Link / NHL Link
Connor Murphy	D	33	1993-03-26	No	212 Lbs	6 ft4	No	No	No	1	UFA	Pro & Farm	3,850,000$	3,850,000$	3,850,000$	No	Link / NHL Link
Dylan Cozens	C/RW	25	2001-02-09	No	205 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	7,100,000$	7,100,000$	7,100,000$	No	Link / NHL Link
Jakob Chychrun	D	28	1998-03-31	No	215 Lbs	6 ft2	No	No	No	5	UFA	Pro & Farm	9,000,000$	9,000,000$	9,000,000$	No	Link / NHL Link
Joe Veleno	C/LW	26	2000-01-13	No	201 Lbs	6 ft1	No	No	No	5	RFA	Pro & Farm	1,699,999$	1,699,999$	1,699,999$	No	Link / NHL Link
Kirill Marchenko	RW	26	2000-07-21	No	201 Lbs	6 ft3	No	No	No	4	RFA	Pro & Farm	3,850,000$	3,850,000$	3,850,000$	No	Link / NHL Link
Mackenzie Blackwood	G	29	1996-12-09	No	225 Lbs	6 ft4	No	No	No	4	UFA	Pro & Farm	5,250,000$	5,250,000$	5,250,000$	No	Link / NHL Link
Mark Scheifele (Out of Payroll)	C	33	1993-03-15	No	207 Lbs	6 ft3	No	No	No	5	UFA	Pro & Farm	8,500,000$	0$	0$	Yes	Link / NHL Link
Nate Schmidt	D	35	1991-07-16	No	197 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	2,100,000$	2,100,000$	2,100,000$	No	Link / NHL Link
Neal Pionk	D	31	1995-07-29	No	190 Lbs	6 ft0	No	No	No	4	UFA	Pro & Farm	5,875,000$	5,875,000$	5,875,000$	No	Link / NHL Link
Oliver Ekman-Larsson	D	35	1991-07-17	No	190 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	Link / NHL Link
Paul Cotter	C/LW/RW	26	1999-11-16	No	213 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	1,499,999$	1,499,999$	1,499,999$	No	Link / NHL Link
Ryan Nugent-Hopkins	C/LW	33	1993-04-12	No	192 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	5,125,000$	5,125,000$	5,125,000$	No	Link / NHL Link
Ryan Poehling	C/LW	27	1999-01-03	No	206 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	1,900,000$	1,900,000$	1,900,000$	No	Link / NHL Link
Sam Bennett	C/LW/RW	30	1996-06-20	No	193 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	4,425,000$	4,425,000$	4,425,000$	No	Link / NHL Link
Stuart Skinner	G	27	1998-11-01	No	215 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	Link / NHL Link
Ty Dellandrea	C/RW	26	2000-07-21	No	185 Lbs	6 ft2	No	No	No	4	RFA	Pro & Farm	1,300,000$	1,300,000$	1,300,000$	No	Link / NHL Link
Zack Bolduc	C/RW	23	2003-02-24	No	187 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	863,334$	863,334$	863,334$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	29.86	204 Lbs	6 ft2	2.95	4,653,742$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
97,728,582$	77,903,582$	65,040,249$	41,974,999$	19,199,999$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Auston Matthews	Boone Jenner	Kirill Marchenko	32	0	1	4
2	Ryan Nugent-Hopkins	Anze Kopitar	Sam Bennett	29	0	2	3
3	Ty Dellandrea	Ryan Poehling	Dylan Cozens	26	1	2	2
4	Joe Veleno	Paul Cotter	Zack Bolduc	13	1	4	0

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cam Fowler	Jakob Chychrun	39	1	3	1
2	Neal Pionk	Oliver Ekman-Larsson	33	1	3	1
3	Nate Schmidt	Connor Murphy	28	1	4	0
4	Connor Murphy	Neal Pionk	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Auston Matthews	Boone Jenner	Kirill Marchenko	55	0	0	5
2	Ryan Nugent-Hopkins	Anze Kopitar	Sam Bennett	45	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Cam Fowler	Jakob Chychrun	55	0	1	4
2	Oliver Ekman-Larsson	Neal Pionk	45	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Poehling	Ryan Nugent-Hopkins	50	0	5	0
2	Joe Veleno	Ty Dellandrea	50	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nate Schmidt	Connor Murphy	50	1	4	0
2	Oliver Ekman-Larsson	Neal Pionk	50	1	4	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Ryan Poehling	50	0	5	0	Nate Schmidt	Connor Murphy	50	0	5	0
2	Ty Dellandrea	50	0	5	0	Oliver Ekman-Larsson	Neal Pionk	50	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Boone Jenner	Auston Matthews	50	1	1	3
2	Anze Kopitar	Kirill Marchenko	50	1	1	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jakob Chychrun	Cam Fowler	60	1	1	3
2	Oliver Ekman-Larsson	Neal Pionk	40	1	1	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Auston Matthews	Boone Jenner	Kirill Marchenko	Jakob Chychrun	Cam Fowler

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ryan Poehling	Anze Kopitar	Paul Cotter	Oliver Ekman-Larsson	Connor Murphy

Extra Forwards
Normal	PowerPlay	Penalty Kill
Anze Kopitar, Auston Matthews, Kirill Marchenko	Sam Bennett, Auston Matthews	Paul Cotter

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Oliver Ekman-Larsson, Jakob Chychrun, Neal Pionk	Connor Murphy	Jakob Chychrun, Cam Fowler

Penalty Shots
Ryan Nugent-Hopkins, Boone Jenner, Auston Matthews, Kirill Marchenko, Anze Kopitar

Goalie
#1 : Stuart Skinner, #2 : Mackenzie Blackwood

Custom OT Lines Forwards
Auston Matthews, Sam Bennett, Anze Kopitar, Kirill Marchenko, Boone Jenner, Dylan Cozens, Dylan Cozens, Ryan Nugent-Hopkins, Ryan Poehling, Zack Bolduc, Ty Dellandrea

Custom OT Lines Defensemen
Jakob Chychrun, Connor Murphy, Cam Fowler, Neal Pionk, Oliver Ekman-Larsson

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
10	12	L2	29	52	81	316	260	102	71	224	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	3	4	2	0	1	0	29	27

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	2	1	0	1	0	13	11

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	2	1	0	0	0	16	16

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	4	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
36	11	30.56%	32	6	81.25%	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
105	90	112	11	10	8	8	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
200	380	52.63%	183	317	57.73%	88	154	57.14%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
255	180	228	74	125	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	OT	SO	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2026-09-02	6	Oilers	2	Red Wings	1	W			BoxScore
2 - 2026-09-03	23	Oilers	5	Blue Jackets	4	W	X		BoxScore
4 - 2026-09-05	33	Mammoth	3	Oilers	0	L			BoxScore
5 - 2026-09-06	61	Senators	2	Oilers	3	W	X	X	BoxScore
7 - 2026-09-08	70	Oilers	2	Blues	4	L			BoxScore
8 - 2026-09-09	89	Oilers	5	Devils	1	W			BoxScore
10 - 2026-09-11	103	Kings	1	Oilers	5	W			BoxScore
11 - 2026-09-12	116	Hurricanes	3	Oilers	4	W	X		BoxScore
13 - 2026-09-14	133	Oilers	2	Avalanche	6	L			BoxScore
14 - 2026-09-15	157	Maple Leafs	2	Oilers	1	L			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	0	0	0	0	0
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	Capacity	Team Popularity
0	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$	97,728,582$	97,728,582$	0$	-3,500,000$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	20	1

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

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	-3,500,000$	104,292,611$	104,292,611$

Depth Chart

Left Wing

Center

Right Wing

Auston Matthews	AGE:28	PO:74	OV:78
Ryan Nugent-Hopkins	AGE:33	PO:55	OV:73
Sam Bennett	AGE:30	PO:71	OV:72
Boone Jenner	AGE:33	PO:45	OV:72
Ryan Poehling	AGE:27	PO:69	OV:70
Paul Cotter	AGE:26	PO:51	OV:67
Joe Veleno	AGE:26	PO:74	OV:66
Michael Pezzetta	AGE:28	PO:41	OV:60

Auston Matthews	AGE:28	PO:74	OV:78
Mark Scheifele	AGE:33	PO:52	OV:76
Anze Kopitar	AGE:39	PO:33	OV:74
Ryan Nugent-Hopkins	AGE:33	PO:55	OV:73
Dylan Cozens	AGE:25	PO:84	OV:72
Sam Bennett	AGE:30	PO:71	OV:72
Boone Jenner	AGE:33	PO:45	OV:72
Ryan Poehling	AGE:27	PO:69	OV:70
Zack Bolduc	AGE:23	PO:82	OV:67
Paul Cotter	AGE:26	PO:51	OV:67
Ty Dellandrea	AGE:26	PO:81	OV:66
Joe Veleno	AGE:26	PO:74	OV:66
Ozzy Wiesblatt	AGE:24	PO:76	OV:61
Brett Harrison	AGE:23	PO:63	OV:60
Xavier Simoneau	AGE:25	PO:48	OV:60
Ben King	AGE:24	PO:59	OV:59

Kirill Marchenko	AGE:26	PO:69	OV:74
Dylan Cozens	AGE:25	PO:84	OV:72
Sam Bennett	AGE:30	PO:71	OV:72
Zack Bolduc	AGE:23	PO:82	OV:67
Paul Cotter	AGE:26	PO:51	OV:67
Ty Dellandrea	AGE:26	PO:81	OV:66
Nathan Bastian	AGE:28	PO:60	OV:64

Defense #1

Defense #2

Goalie

Jakob Chychrun	AGE:28	PO:70	OV:73
Cam Fowler	AGE:34	PO:43	OV:71
Neal Pionk	AGE:31	PO:34	OV:71
Connor Murphy	AGE:33	PO:49	OV:69

Oliver Ekman-Larsson	AGE:35	PO:45	OV:69
Nate Schmidt	AGE:35	PO:23	OV:69
Ian Moore	AGE:24	PO:67	OV:63
Jaycob Megna	AGE:33	PO:26	OV:63

Mackenzie Blackwood	AGE:29	PO:59	OV:77
Stuart Skinner	AGE:27	PO:53	OV:75
Joonas Korpisalo	AGE:32	PO:53	OV:71
Malcolm Subban	AGE:32	PO:11	OV:63

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
Adam Goljer	Oilers	2026	45
Aiden Fink	Oilers	2023	112
Connor Levis	Oilers	2023	94
Daniil Gutik	Oilers	2019	75
Elijah Neuenschwander	Oilers	2025	98
Evan Fitzpatrick	Oilers
Jaden Lipinski	Oilers	2023	66
Jan Sprynar	Oilers	2023	96
Kristian Vesalainen	Oilers
Matthew Soto	Oilers	2023	110
Michal Teply	Oilers
Riley Stotts	Oilers	2018	73
Samuel Meloche	Oilers	2025	109
Trenten Bennett	Oilers	2025	130
Yaroslav Likhachyov	Oilers	2019	136

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2027		UTA	NSH		CHI DET		EDM
2028		EDM	EDM	EDM	EDM	EDM	EDM
2029	EDM	EDM	EDM	EDM	EDM	EDM	EDM
2030	EDM	EDM	EDM	EDM	EDM	EDM	EDM
2031	EDM	EDM	EDM	EDM	EDM	EDM	EDM

[2026-08-30 14:06:15] - TRADE : From Oilers to Lightning : Trent Frederic (66), Y:2027-RND:2-VAN.
[2026-08-30 14:06:15] - TRADE : From Lightning to Oilers : Paul Cotter (67), Y:2027-RND:3-NSH.
[2026-08-30 13:50:11] - Condors hired Dan Muse for $1,000,000 for 1 year(s).
[2026-08-30 13:49:51] - Oilers hired Jon Cooper for $3,000,000 for 3 year(s).
[2026-07-23 10:42:46] - TRADE : From Oilers to Wild : Jordan Kyrou (73).
[2026-07-23 10:42:46] - TRADE : From Wild to Oilers : Sam Bennett (72).
[2026-07-21 10:50:07] - Noel Hoefenmayer was released by Oilers
[2026-07-21 10:49:09] - Alec Regula was released.
[2026-07-21 10:49:09] - Oilers paid $0 to release Alec Regula.
[2026-06-29 20:47:28] - TRADE : From Blue Jackets to Oilers : Anze Kopitar (74), $3,500,000 (Salary Cap Year 1).
[2026-06-29 20:47:28] - TRADE : From Oilers to Blue Jackets : Jordan Greenway (67), Giorgos Pantelas (P), Y:2027-RND:3-CHI.
[2026-06-22 10:51:30] - TRADE : From Oilers to Ducks : Y:2027-RND:3-EDM.
[2026-06-22 10:49:59] - Joe Veleno was added to Oilers.
[2026-06-14 19:43:49] - Frank Vatrano was released.
[2026-06-14 19:43:49] - Oilers paid $0 to release Frank Vatrano.
[2026-06-14 19:34:18] - Bryan Rust was released.
[2026-06-14 19:34:18] - Oilers paid $0 to release Bryan Rust.
[2026-05-31 13:50:58] - TRADE : From Oilers to Mammoth : Y:2027-RND:5-EDM, Y:2027-RND:6-EDM.
[2026-05-31 11:03:19] - TRADE : From Mammoth to Oilers : Ian Moore (63).
[2026-05-31 11:03:19] - TRADE : From Oilers to Mammoth : Y:2026-RND:5-UTA, Y:2026-RND:6-EDM.
[2026-05-29 20:00:52] - Oilers drafts Giorgos Pantelas as the #60 overall pick in the Entry Draft of year 2026.
[2026-05-29 19:49:38] - TRADE : From Wild to Oilers : Y:2027-RND:2-VAN, Y:2027-RND:5-DET.
[2026-05-29 19:49:38] - TRADE : From Oilers to Wild : Y:2026-RND:3-OTT.
[2026-05-29 19:46:20] - TRADE : From Blackhawks to Oilers : Y:2027-RND:3-CHI, Y:2027-RND:5-CHI.
[2026-05-29 19:46:20] - TRADE : From Oilers to Blackhawks : Y:2026-RND:3-EDM.
[2026-05-29 19:44:55] - TRADE : From Blues to Oilers : Y:2026-RND:2-EDM.
[2026-05-29 19:44:55] - TRADE : From Oilers to Blues : Y:2026-RND:3-FLA, Y:2026-RND:3-TOR.
[2026-05-29 08:05:48] - Oilers drafts Adam Goljer as the #45 overall pick in the Entry Draft of year 2026.

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
2017	82	24	37	0	6	5	3	7	214	245	-31	41	15	15	0	3	2	3	3	119	119	0	41	9	22	0	3	3	0	4	95	126	-31	78	214	349	563	3	0	53	84	68	13	2253	651	859	712	85	2352	744	963	1795	341	62	18.18%	469	105	77.61%	7	896	1742	51.44%	1067	2044	52.20%	600	1103	54.40%	1685	877	1753	821	1550	748
2018	82	18	50	0	4	4	3	3	177	260	-83	41	11	23	0	2	2	1	2	93	125	-32	41	7	27	0	2	2	2	1	84	135	-51	57	177	317	494	1	3	64	52	54	13	2221	695	738	759	50	2553	699	685	1793	230	33	14.35%	295	61	79.32%	4	1326	2691	49.28%	1392	2861	48.65%	651	1226	53.10%	1791	1211	2143	616	1031	495
2019	82	25	40	0	3	4	3	7	181	242	-61	41	15	16	0	2	1	1	6	101	121	-20	41	10	24	0	1	3	2	1	80	121	-41	73	181	324	505	0	3	73	42	60	12	2225	780	683	729	66	2517	696	742	1794	320	47	14.69%	307	57	81.43%	4	1327	2692	49.29%	1467	2894	50.69%	610	1215	50.21%	1889	1283	2046	621	1042	506
2020	82	20	41	0	9	6	3	3	194	244	-50	41	13	19	0	4	3	2	0	98	115	-17	41	7	22	0	5	3	1	3	96	129	-33	73	194	346	540	1	2	67	69	46	15	2024	608	665	707	64	2606	837	757	1951	290	40	13.79%	328	62	81.10%	2	1182	2523	46.85%	1391	2997	46.41%	602	1250	48.16%	1863	1260	2082	624	1042	508
2021	82	18	51	0	2	6	1	4	185	288	-103	41	9	27	0	1	2	0	2	95	149	-54	41	9	24	0	1	4	1	2	90	139	-49	52	185	333	518	2	3	0	73	56	53	2141	0	731	700	692	2574	764	705	1850	285	55	19.30%	295	64	78.31%	2	1264	2684	47.09%	1394	2999	46.48%	615	1268	48.50%	1866	1279	2067	613	1025	492
2022	82	27	43	0	4	3	5	0	243	273	-30	41	13	25	0	0	0	3	0	115	132	-17	41	14	18	0	4	3	2	0	128	141	-13	75	243	435	678	3	0	0	87	73	74	2373	0	812	742	803	2752	791	620	1816	249	43	17.27%	256	49	80.86%	3	1298	2711	47.88%	1397	3015	46.33%	625	1336	46.78%	1838	1262	2082	602	1032	496
2023	82	43	28	0	3	2	3	3	290	264	26	41	20	16	0	1	2	1	1	140	139	1	41	23	12	0	2	0	2	2	150	125	25	103	290	523	813	5	3	0	109	90	85	2772	0	904	949	888	2634	715	605	1819	324	66	20.37%	271	48	82.29%	3	1596	3175	50.27%	1520	2936	51.77%	664	1343	49.44%	2008	1402	1913	599	1040	518
2024	82	39	27	0	3	9	2	2	260	224	36	41	16	19	0	1	4	0	1	114	117	-3	41	23	8	0	2	5	2	1	146	107	39	99	260	478	738	3	5	0	102	69	84	2684	0	885	849	921	2258	616	768	1863	337	69	20.47%	330	57	82.73%	3	1559	3082	50.58%	1377	2688	51.23%	687	1278	53.76%	2053	1430	1876	604	1038	523
2025	82	44	25	0	5	6	2	0	271	216	55	41	23	14	0	3	1	0	0	139	101	38	41	21	11	0	2	5	2	0	132	115	17	108	271	487	758	4	5	0	103	89	72	2674	0	899	863	870	2318	709	661	1916	278	51	18.35%	288	48	83.33%	1	1561	3053	51.13%	1483	2789	53.17%	674	1289	52.29%	2009	1410	1923	599	1026	514
2026	10	3	4	0	2	0	1	0	29	27	2	5	1	2	0	1	0	1	0	13	11	2	5	2	2	0	1	0	0	0	16	16	0	12	29	52	81	0	0	10	8	8	3	316	105	90	112	11	260	102	71	224	36	11	30.56%	32	6	81.25%	0	200	380	52.63%	183	317	57.73%	88	154	57.14%	255	180	228	74	125	62
Total Regular Season	748	261	346	0	41	45	26	29	2044	2283	-239	374	136	176	0	18	17	12	15	1027	1129	-102	374	125	170	0	23	28	14	14	1017	1154	-137	730	2044	3644	5688	22	24	267	729	613	424	21683	2839	7266	7122	4450	22824	6673	6577	16821	2690	477	17.73%	2871	557	80.60%	29	12209	24733	49.36%	12671	25540	49.61%	5816	11462	50.74%	17263	11598	18119	5777	9955	4866
Playoff
2023	7	3	4	0	0	0	0	0	25	26	-1	4	2	2	0	0	0	0	0	16	13	3	3	1	2	0	0	0	0	0	9	13	-4	6	25	45	70	0	0	0	9	7	9	289	0	80	81	75	289	77	69	178	26	7	26.92%	32	9	71.88%	0	152	328	46.34%	156	297	52.53%	64	133	48.12%	200	140	198	61	107	52
2024	6	2	4	0	0	0	0	0	19	22	-3	3	1	2	0	0	0	0	0	8	12	-4	3	1	2	0	0	0	0	0	11	10	1	4	19	36	55	0	0	0	2	9	7	189	0	63	57	59	212	59	58	133	19	2	10.53%	27	8	70.37%	0	126	236	53.39%	111	227	48.90%	50	95	52.63%	160	112	145	45	82	41
2025	9	5	4	0	0	0	0	0	32	24	8	4	2	2	0	0	0	0	0	15	12	3	5	3	2	0	0	0	0	0	17	12	5	10	32	59	91	2	0	0	11	8	13	299	0	97	107	94	266	79	82	228	23	8	34.78%	36	5	86.11%	0	167	322	51.86%	159	301	52.82%	74	139	53.24%	209	146	219	65	113	55
Total Playoff	22	10	12	0	0	0	0	0	76	72	4	11	5	6	0	0	0	0	0	39	37	2	11	5	6	0	0	0	0	0	37	35	2	20	76	140	216	2	0	0	22	24	29	777	0	240	245	228	767	215	209	539	68	17	25.00%	95	22	76.84%	0	445	886	50.23%	426	825	51.64%	188	367	51.23%	570	399	563	171	302	150