NHLS - National Hockey League Simulated

Kings
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
Scratches
1	Adam Beckman	X	X			100.00	68	39	84	64	77	92	83	63	66	62	65	61	64	65	67	63	75	64	0
2	Danil Gushchin		X	X		100.00	61	36	82	64	61	91	82	62	68	59	63	61	64	65	67	66	75	62	0
3	Ozzy Wiesblatt	X		X		100.00	70	42	68	64	67	77	80	62	63	61	57	62	60	64	66	76	75	61	0
4	Luke Tuch (R)		X			100.00	76	43	70	59	85	74	81	57	52	54	56	58	57	64	66	70	75	60	0
5	Graham Slaggert (R)	X	X			100.00	60	38	85	57	69	71	83	56	52	54	55	58	53	67	69	37	75	59	0
6	Carey Terrance (R)	X				100.00	66	39	79	57	75	69	86	56	60	54	55	58	53	61	63	69	75	59	0
7	Dalton Bancroft (R)			X		100.00	76	40	82	56	85	76	78	54	51	53	55	57	52	65	67	42	75	59	0
8	Matvey Petrov		X			100.00	67	37	95	58	76	72	76	56	53	55	57	54	59	63	65	49	75	59	0
9	Simon Robertsson			X		100.00	63	38	84	59	72	71	72	58	55	57	56	59	54	63	65	67	75	59	0
10	Cooper Flinton (R)		X			100.00	69	41	72	57	78	71	77	55	53	51	58	52	54	63	65	49	75	58	0
11	Devin Kaplan (R)			X		100.00	70	41	67	56	80	75	78	53	51	55	54	57	58	62	64	67	75	58	0
12	Grant Cruikshank (R)	X				100.00	61	39	81	56	70	77	78	55	58	52	57	54	56	68	70	36	75	58	0
13	Harrison Israels (R)	X				100.00	72	40	84	54	81	73	71	53	52	51	52	55	53	67	69	37	75	58	0
14	Connor Mylymok (R)		X			100.00	69	57	50	55	78	69	79	54	50	53	52	56	51	66	68	42	75	57	0
15	Samuel Bolduc				X	100.00	74	40	93	62	91	74	86	58	30	60	54	61	48	66	68	67	75	62	0
16	Shai Buium				X	100.00	76	39	91	60	85	66	79	56	30	61	53	59	47	63	65	76	75	61	0
17	Jesse Pulkkinen (R)				X	100.00	84	40	92	55	93	63	65	54	30	53	50	59	45	62	64	71	75	59	0
18	Aleksi Heimosalmi (R)				X	100.00	62	39	81	58	71	66	80	56	30	57	54	55	46	63	65	73	75	58	0

	TEAM AVERAGE					100.00	69	40	80	58	77	74	79	57	50	56	56	58	54	64	66	59	75	60

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
Scratches
1	Vyacheslav Buteyets (R)	100.00	56	72	68	90	55	54	56	55	54	56	55	64	71	48	75	54	0

	TEAM AVERAGE	100.00	56	72	68	90	55	54	56	55	54	56	55	64	71	48	75	54

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
John Stevens	65	74	75	73	90	84	56	CAN	60	2	950,000$

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
Adam Beckman	C/LW	26	2001-05-10	No	182 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Aleksi Heimosalmi	D	24	2003-05-08	Yes	181 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Carey Terrance	C	22	2005-05-10	Yes	203 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Connor Mylymok	LW	27	2000-03-18	Yes	205 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Cooper Flinton	LW	24	2003-08-16	Yes	202 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Dalton Bancroft	RW	26	2001-02-26	Yes	207 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Danil Gushchin	LW/RW	25	2002-02-06	No	165 Lbs	5 ft8	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Devin Kaplan	RW	23	2004-01-10	Yes	199 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Graham Slaggert	C/LW	28	1999-04-06	Yes	183 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Grant Cruikshank	C	29	1998-07-19	Yes	187 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Harrison Israels	C	28	1999-09-01	Yes	205 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Jesse Pulkkinen	D	23	2004-12-27	Yes	203 Lbs	6 ft6	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Luke Tuch	LW	25	2002-03-07	Yes	209 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Matvey Petrov	LW	24	2003-03-12	No	178 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Ozzy Wiesblatt	C/RW	25	2002-03-09	No	183 Lbs	5 ft10	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Samuel Bolduc	D	27	2000-12-09	No	224 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Shai Buium	D	24	2003-03-26	No	209 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Simon Robertsson	RW	24	2003-02-05	No	190 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Vyacheslav Buteyets	G	25	2002-05-29	Yes	220 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
19	25.21	197 Lbs	6 ft1	1.89	921,053$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			30	1	2	2
4			0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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
1 - 2026-09-19	14	Marlies	-	Reign	-
2 - 2026-09-20	18	Bruins	-	Reign	-
4 - 2026-09-22	38	Reign	-	Bears	-
5 - 2026-09-23	55	Reign	-	Monsters	-
7 - 2026-09-25	66	Wolves	-	Reign	-
8 - 2026-09-26	91	Reign	-	Crunch	-
10 - 2026-09-28	103	Reign	-	Condors	-
11 - 2026-09-29	128	Moose	-	Reign	-
13 - 2026-10-01	135	Reign	-	IceHogs	-
14 - 2026-10-02	145	Gulls	-	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
5	0 - 0.00%	0$	0$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,750,000$	1,750,000$	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	27	22	0	1	4	2	0	198	189	9	28	13	9	0	1	3	2	0	106	94	12	28	14	13	0	0	1	0	0	92	95	-3	64	198	353	551	2	1	0	64	66	65	1928	0	639	643	636	1919	534	370	1271	187	39	20.86%	148	35	76.35%	2	1085	2013	53.90%	1015	2014	50.40%	480	930	51.61%	1347	938	1306	414	724	365
2021	82	24	46	0	4	4	1	3	240	298	-58	41	11	23	0	3	3	0	1	120	152	-32	41	13	23	0	1	1	1	2	120	146	-26	65	240	434	674	4	1	0	89	64	82	2651	0	880	887	863	2834	812	562	1847	244	45	18.44%	257	61	76.26%	1	1407	2863	49.14%	1444	2925	49.37%	656	1324	49.55%	1919	1314	1961	613	1070	531
2022	82	31	36	0	4	5	1	5	270	286	-16	41	22	14	0	2	3	0	0	141	122	19	41	9	22	0	2	2	1	5	129	164	-35	82	270	489	759	3	1	0	102	96	67	2730	0	902	896	907	2850	813	821	1946	280	57	20.36%	331	67	79.76%	2	1455	2927	49.71%	1449	3028	47.85%	691	1378	50.15%	1922	1306	1968	609	1067	529
2023	83	42	23	0	7	3	1	7	303	269	34	41	25	10	0	2	2	1	1	165	128	37	42	17	13	0	5	1	0	6	138	141	-3	110	303	541	844	5	2	0	107	100	88	3145	0	1012	1015	1068	2518	763	648	1978	301	59	19.60%	274	59	78.47%	3	1677	3276	51.19%	1368	2709	50.50%	678	1343	50.48%	2106	1486	1884	593	1056	535
2024	82	32	37	0	5	2	2	4	216	217	-1	41	19	17	0	2	0	2	1	104	97	7	41	13	20	0	3	2	0	3	112	120	-8	84	216	390	606	2	7	0	72	87	50	2277	0	711	770	772	2217	653	652	1958	265	53	20.00%	266	45	83.08%	2	1317	2687	49.01%	1258	2517	49.98%	609	1193	51.05%	1993	1371	1916	609	1054	527
2025	82	33	29	0	3	5	4	8	241	235	6	41	17	13	0	2	2	2	5	125	116	9	41	16	16	0	1	3	2	3	116	119	-3	93	241	439	680	3	5	0	73	87	74	2323	0	756	776	756	2339	656	713	1996	225	46	20.44%	303	55	81.85%	1	1324	2580	51.32%	1252	2667	46.94%	633	1233	51.34%	2005	1390	1933	597	1060	530
Total Regular Season	467	189	193	0	24	23	11	27	1468	1494	-26	233	107	86	0	12	13	7	8	761	709	52	234	82	107	0	12	10	4	19	707	785	-78	498	1468	2646	4114	19	17	0	507	500	426	15054	0	4900	4987	5002	14677	4231	3766	10996	1502	299	19.91%	1579	322	79.61%	11	8265	16346	50.56%	7786	15860	49.09%	3747	7401	50.63%	11294	7808	10971	3438	6034	3020
Playoff
2020	5	1	4	0	0	0	0	0	15	23	-8	3	1	2	0	0	0	0	0	11	14	-3	2	0	2	0	0	0	0	0	4	9	-5	2	15	30	45	0	0	0	6	5	3	212	0	60	56	60	237	61	53	111	17	3	17.65%	22	7	68.18%	0	126	225	56.00%	114	231	49.35%	52	96	54.17%	135	93	137	40	70	34
2023	18	10	8	0	0	0	0	0	63	49	14	9	6	3	0	0	0	0	0	33	20	13	9	4	5	0	0	0	0	0	30	29	1	20	63	115	178	0	0	0	24	16	23	650	0	207	210	233	522	151	149	407	64	15	23.44%	62	14	77.42%	1	341	666	51.20%	282	602	46.84%	144	294	48.98%	429	299	424	133	226	113
2025	10	6	4	0	0	0	0	0	36	31	5	5	3	2	0	0	0	0	0	19	14	5	5	3	2	0	0	0	0	0	17	17	0	12	36	65	101	1	0	0	12	12	10	345	0	113	85	109	331	92	74	261	35	9	25.71%	33	5	84.85%	0	199	395	50.38%	180	368	48.91%	95	169	56.21%	268	189	254	78	139	68
Total Playoff	33	17	16	0	0	0	0	0	114	103	11	17	10	7	0	0	0	0	0	63	48	15	16	7	9	0	0	0	0	0	51	55	-4	34	114	210	324	1	0	0	42	33	36	1207	0	380	351	402	1090	304	276	779	116	27	23.28%	117	26	77.78%	1	666	1286	51.79%	576	1201	47.96%	291	559	52.06%	832	582	816	253	436	216