NHLS - National Hockey League Simulated

Oilers
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
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	Chris Terry	X	X	X		100.00	60	39	77	66	69	95	84	65	74	68	63	62	65	76	78	28	75	65	0
2	Matej Blumel (R)			X		100.00	66	37	86	68	75	72	88	66	64	62	67	63	68	65	67	59	75	65	0
3	Andrew Agozzino	X	X			100.00	59	39	75	67	68	91	84	66	68	65	64	61	66	74	76	23	75	64	0
4	Cal O'Reilly	X				100.00	63	36	95	62	72	70	86	61	73	65	57	63	59	79	81	19	75	63	0
5	Max Willman	X				100.00	66	36	91	64	71	81	82	63	66	58	62	59	64	70	72	47	75	63	0
6	Anders Bjork		X			100.00	63	37	92	64	72	74	73	63	59	60	57	62	58	69	71	45	75	62	0
7	Anton Blidh		X	X		100.00	70	42	65	61	77	76	85	60	56	59	58	62	57	70	72	39	75	62	0
8	Skyler Brind'Amour	X				100.00	67	38	87	62	79	84	83	58	66	56	61	59	62	66	68	47	75	62	0
9	Colin White	X		X		100.00	67	39	86	59	76	79	78	57	60	58	59	56	57	70	69	71	75	61	0
10	Yegor Sidorov (R)			X		100.00	62	37	91	61	71	93	70	60	63	59	61	57	62	63	61	64	75	61	0
11	Nikita Pavlychev	X				100.00	86	53	71	57	95	74	77	56	65	58	55	59	56	68	70	41	75	61	0
12	Jason Polin			X		100.00	67	37	88	59	74	76	77	56	64	57	59	58	56	65	68	42	75	60	0
13	Ben Hutton				X	100.00	63	40	90	66	85	86	69	64	30	72	57	63	52	76	72	34	75	64	0
14	Troy Stecher				X	100.00	69	36	84	66	67	86	82	63	30	64	56	73	51	76	71	34	75	64	0
15	Filip Kral				X	100.00	71	39	84	58	80	71	72	57	30	61	55	59	47	66	68	52	75	60	0
16	Tobias Bjornfot				X	100.00	68	38	87	60	74	79	75	59	30	58	55	61	50	64	66	80	75	60	0
17	Chris Harpur				X	100.00	75	39	81	55	84	64	65	54	30	57	50	56	45	69	71	36	75	59	0
18	Darren Brady				X	100.00	65	39	86	58	74	63	62	57	30	63	50	56	45	69	71	36	75	59	0
Scratches
1	Bradley Marek		X			100.00	77	43	72	55	86	77	74	54	51	53	57	59	56	65	67	42	75	59	0
2	Filip Engaras	X				100.00	63	38	91	56	72	66	78	53	60	54	55	57	56	66	68	47	75	58	0
3	Ty Tullio			X		100.00	63	38	77	57	63	75	78	56	60	58	55	52	54	63	65	58	75	58	0
4	Billy Sweezey				X	100.00	70	42	69	55	79	63	83	54	30	53	52	56	45	69	71	36	75	58	0
5	Christian Felton (R)				X	100.00	66	36	95	53	74	63	61	52	30	51	50	54	45	65	67	42	75	56	0

	TEAM AVERAGE					100.00	67	39	83	60	76	76	77	59	52	60	57	59	55	69	70	44	75	61

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	Isaac Poulter	100.00	75	83	79	75	74	73	75	74	73	75	74	64	71	43	75	64	0
2	Mitchell Weeks	100.00	71	78	74	81	70	69	71	70	69	71	70	64	71	43	75	62	0
Scratches
1	Ruslan Khazheyev (R)	100.00	68	74	71	93	67	66	68	67	66	68	67	61	65	49	75	60	0

	TEAM AVERAGE	100.00	71	78	75	83	70	69	71	70	69	71	70	63	69	45	75	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Daniels	62	75	75	68	85	79	62	CAN	57	3	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
Anders Bjork	LW	30	1996-08-05	No	190 Lbs	6 ft0	No	No	Yes	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Andrew Agozzino	C/LW	35	1991-01-03	No	187 Lbs	5 ft10	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Anton Blidh	LW/RW	31	1995-03-14	No	196 Lbs	6 ft1	No	No	Yes	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Ben Hutton	D	33	1993-04-20	No	209 Lbs	6 ft3	No	No	Yes	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Billy Sweezey	D	30	1996-02-06	No	206 Lbs	6 ft1	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Bradley Marek	LW	26	2000-11-13	No	212 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	825,000$	0$	0$	No	Link / NHL Link
Cal O'Reilly	C	40	1986-09-30	No	188 Lbs	6 ft0	No	No	Yes	3	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Chris Harpur	D	30	1996-09-13	No	201 Lbs	6 ft3	No	No	Yes	2	UFA	Pro & Farm	825,000$	0$	0$	No	Link / NHL Link
Chris Terry	C/LW/RW	37	1989-04-07	No	191 Lbs	5 ft10	No	No	Yes	3	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Christian Felton	D	26	2000-02-04	Yes	185 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Colin White	C/RW	29	1997-01-30	No	195 Lbs	6 ft1	No	No	Yes	2	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Darren Brady	D	30	1996-04-05	No	198 Lbs	6 ft0	No	No	Yes	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Filip Engaras	C	27	1999-05-16	No	187 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Filip Kral	D	27	1999-10-20	No	198 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Isaac Poulter	G	25	2001-09-12	No	174 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jason Polin	RW	27	1999-06-17	No	198 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Matej Blumel	RW	26	2000-05-31	Yes	205 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Max Willman	C	31	1995-02-13	No	184 Lbs	6 ft0	No	No	Yes	1	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Mitchell Weeks	G	25	2001-06-22	No	187 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Nikita Pavlychev	C	29	1997-03-23	No	200 Lbs	6 ft7	No	No	Yes	1	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Ruslan Khazheyev	G	22	2004-11-20	Yes	201 Lbs	6 ft6	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Skyler Brind'Amour	C	27	1999-07-27	No	195 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Tobias Bjornfot	D	25	2001-04-06	No	200 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Troy Stecher	D	32	1994-04-07	No	184 Lbs	5 ft10	No	No	Yes	2	UFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Ty Tullio	RW	24	2002-04-05	No	165 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Yegor Sidorov	RW	22	2004-06-18	Yes	184 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	28.69	193 Lbs	6 ft1	1.77	880,769$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Chris Terry	Andrew Agozzino	Matej Blumel	40	1	2	2
2	Anton Blidh	Max Willman	Yegor Sidorov	30	1	2	2
3	Anders Bjork	Cal O'Reilly	Jason Polin	20	1	2	2
4	Chris Terry	Skyler Brind'Amour	Matej Blumel	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Darren Brady	Troy Stecher	40	1	2	2
2	Filip Kral	Tobias Bjornfot	30	1	2	2
3	Chris Harpur	Ben Hutton	20	1	2	2
4	Ben Hutton	Troy Stecher	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Chris Terry	Andrew Agozzino	Matej Blumel	60	1	2	2
2	Anton Blidh	Max Willman	Yegor Sidorov	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Hutton	Troy Stecher	60	1	2	2
2	Filip Kral	Tobias Bjornfot	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matej Blumel	Chris Terry	60	1	2	2
2	Andrew Agozzino	Max Willman	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Hutton	Troy Stecher	60	1	2	2
2	Filip Kral	Tobias Bjornfot	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Matej Blumel	60	1	2	2	Ben Hutton	Troy Stecher	60	1	2	2
2	Chris Terry	40	1	2	2	Filip Kral	Tobias Bjornfot	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Matej Blumel	Chris Terry	60	1	2	2
2	Andrew Agozzino	Max Willman	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Chris Harpur	Troy Stecher	60	1	2	2
2	Filip Kral	Tobias Bjornfot	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Chris Terry	Andrew Agozzino	Matej Blumel	Ben Hutton	Troy Stecher

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Chris Terry	Andrew Agozzino	Matej Blumel	Ben Hutton	Troy Stecher

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nikita Pavlychev, Cal O'Reilly, Anders Bjork	Nikita Pavlychev, Cal O'Reilly	Anders Bjork

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Chris Harpur, Troy Stecher, Filip Kral	Chris Harpur	Troy Stecher, Filip Kral

Penalty Shots
Matej Blumel, Chris Terry, Andrew Agozzino, Max Willman, Cal O'Reilly

Goalie
#1 : Isaac Poulter, #2 : Mitchell Weeks

Custom OT Lines Forwards
Chris Terry, Matej Blumel, Andrew Agozzino, Max Willman, Cal O'Reilly, Anders Bjork, Anders Bjork, Anton Blidh, Yegor Sidorov, Nikita Pavlychev, Skyler Brind'Amour

Custom OT Lines Defensemen
Ben Hutton, Troy Stecher, Filip Kral, Tobias Bjornfot, Chris Harpur

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
2 - 2026-04-20	8	Condors	-	Reign	-
4 - 2026-04-22	16	Condors	-	Reign	-
6 - 2026-04-24	24	Reign	-	Condors	-
8 - 2026-04-26	32	Reign	-	Condors	-
10 - 2026-04-28	40	Condors	-	Reign	-
12 - 2026-04-30	48	Reign	-	Condors	-
14 - 2026-05-02	56	Condors	-	Reign	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	50	30
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$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,290,000$	2,290,000$	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$	14	0$	0$

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
2020	56	26	18	0	3	4	4	1	199	188	11	28	14	9	0	1	1	2	1	107	92	15	28	12	9	0	2	3	2	0	92	96	-4	71	199	359	558	1	1	0	68	62	62	1973	0	602	684	666	2001	546	384	1274	173	50	28.90%	182	42	76.92%	3	1090	2072	52.61%	1051	2034	51.67%	490	979	50.05%	1368	945	1295	410	734	372
2021	82	35	28	0	5	8	3	3	273	266	7	41	20	14	0	1	3	2	1	144	131	13	41	15	14	0	4	5	1	2	129	135	-6	97	273	497	770	3	2	0	107	77	81	2760	0	894	945	880	2529	675	447	1814	254	66	25.98%	196	45	77.04%	3	1599	2983	53.60%	1430	2777	51.49%	738	1359	54.30%	2007	1396	1890	610	1080	539
2022	82	40	32	0	1	3	6	0	288	239	49	41	23	15	0	1	0	2	0	150	106	44	41	17	17	0	0	3	4	0	138	133	5	97	288	515	803	0	1	0	92	110	79	2835	0	887	939	987	2696	793	745	2030	303	63	20.79%	312	57	81.73%	4	1591	3021	52.66%	1562	3044	51.31%	653	1309	49.89%	1986	1367	1903	617	1070	537
2023	83	40	27	0	5	3	4	4	282	260	22	41	19	14	0	2	0	4	2	142	128	14	42	21	13	0	3	3	0	2	140	132	8	105	282	501	783	3	1	0	104	85	84	2687	0	865	880	911	2719	790	764	1884	313	81	25.88%	308	66	78.57%	3	1523	2903	52.46%	1520	2944	51.63%	721	1365	52.82%	1999	1376	1957	623	1077	540
2024	82	27	41	0	3	2	2	7	205	227	-22	41	12	20	0	1	1	2	5	99	118	-19	41	15	21	0	2	1	0	2	106	109	-3	73	205	372	577	2	3	0	86	58	56	2242	0	765	747	695	2359	711	566	1770	247	44	17.81%	226	39	82.74%	0	1354	2539	53.33%	1358	2649	51.26%	642	1238	51.86%	1941	1336	1974	605	1060	527
2025	82	30	30	0	6	6	3	7	230	229	1	41	15	13	0	4	4	3	2	126	115	11	41	15	17	0	2	2	0	5	104	114	-10	91	230	422	652	1	2	0	86	62	73	2439	0	801	792	805	2263	673	466	1737	267	53	19.85%	197	24	87.82%	3	1404	2735	51.33%	1319	2543	51.87%	632	1231	51.34%	1997	1391	1927	610	1066	535
Total Regular Season	467	198	176	0	23	26	22	22	1477	1409	68	233	103	85	0	10	9	15	11	768	690	78	234	95	91	0	13	17	7	11	709	719	-10	534	1477	2666	4143	10	10	0	543	454	435	14936	0	4814	4987	4944	14567	4188	3372	10509	1557	357	22.93%	1421	273	80.79%	16	8561	16253	52.67%	8240	15991	51.53%	3876	7481	51.81%	11301	7813	10948	3477	6090	3052
Playoff
2020	6	2	4	0	0	0	0	0	16	22	-6	3	1	2	0	0	0	0	0	11	13	-2	3	1	2	0	0	0	0	0	5	9	-4	4	16	30	46	0	0	0	3	7	6	195	0	48	74	73	211	62	49	138	10	2	20.00%	22	6	72.73%	0	131	216	60.65%	116	213	54.46%	49	94	52.13%	143	98	138	42	78	39
2021	8	4	4	0	0	0	0	0	26	28	-2	4	2	2	0	0	0	0	0	15	15	0	4	2	2	0	0	0	0	0	11	13	-2	8	26	49	75	0	0	0	9	6	9	287	0	96	89	95	254	65	44	181	41	5	12.20%	22	6	72.73%	0	175	326	53.68%	131	263	49.81%	69	132	52.27%	204	142	184	57	101	52
2022	12	5	7	0	0	0	0	0	45	47	-2	5	2	3	0	0	0	0	0	17	18	-1	7	3	4	0	0	0	0	0	28	29	-1	10	45	81	126	2	0	0	23	10	10	426	0	138	114	139	462	120	115	304	45	11	24.44%	50	11	78.00%	0	223	462	48.27%	254	488	52.05%	124	232	53.45%	308	209	307	98	171	86
2023	13	6	7	0	0	0	0	0	42	46	-4	7	5	2	0	0	0	0	0	24	20	4	6	1	5	0	0	0	0	0	18	26	-8	12	42	72	114	0	0	0	17	13	10	481	0	118	130	150	497	127	124	321	64	12	18.75%	54	9	83.33%	1	311	569	54.66%	287	532	53.95%	120	222	54.05%	372	257	343	110	191	99
Total Playoff	39	17	22	0	0	0	0	0	129	143	-14	19	10	9	0	0	0	0	0	67	66	1	20	7	13	0	0	0	0	0	62	77	-15	34	129	232	361	2	0	0	52	36	35	1389	0	400	407	457	1424	374	332	944	160	30	18.75%	148	32	78.38%	1	840	1573	53.40%	788	1496	52.67%	362	680	53.24%	1028	707	974	308	543	276