PSL - Pro Simulation League

Rangers
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	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Justin Sourdif			X	100.00	72	42	76	73	75	93	83	67	74	69	68	65	70	64	66	62	75	66	0
2	Victor Eklund (R)			X	100.00	67	35	94	72	66	85	62	71	75	70	63	65	73	60	62	86	75	65	0
3	Cole Reinhardt (R)		X		100.00	73	42	80	68	79	82	83	63	65	61	62	60	63	66	68	47	75	64	0
4	Zack Ostapchuk	X			100.00	80	53	75	65	89	76	87	63	76	60	59	66	56	63	65	75	75	64	0
5	Lukas Reichel		X		100.00	60	35	95	71	69	80	84	65	72	66	62	63	67	64	65	81	75	64	0
6	Cole Schwindt			X	100.00	67	37	95	63	85	75	73	64	77	61	60	63	62	64	65	59	75	63	0
7	Max Shabanov (R)			X	100.00	61	33	95	69	63	83	76	65	50	67	60	63	69	65	66	42	75	63	0
8	Owen Beck	X			100.00	68	39	82	66	74	80	88	62	67	60	58	64	61	62	65	77	75	62	0
9	Danil Gushchin		X		100.00	61	36	82	64	61	91	82	62	68	59	63	61	64	65	67	66	75	62	0
Scratches

	TEAM AVERAGE				100.00	68	39	86	68	73	83	80	65	69	64	62	63	65	64	65	66	75	64

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	Jakub Skarek	100.00	74	79	75	89	73	72	74	73	72	74	73	68	77	56	75	64	0
Scratches

	TEAM AVERAGE	100.00	74	79	75	89	73	72	74	73	72	74	73	68	77	56	75	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Watson	62	74	71	74	71	66	80	CAN	46	3	750,000$

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
Cole Reinhardt	LW	26	2000-02-01	Yes	207 Lbs	6 ft1	Yes	No	No	3	RFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Cole Schwindt	RW	25	2001-04-25	No	210 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Danil Gushchin	LW	24	2002-02-06	No	165 Lbs	5 ft8	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Jakub Skarek	G	26	1999-11-10	No	211 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Justin Sourdif	RW	24	2002-03-24	No	195 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	825,000$	0$	0$	No	Link / NHL Link
Lukas Reichel	LW	24	2002-05-17	No	170 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	1,200,000$	0$	0$	No	Link / NHL Link
Max Shabanov	RW	25	2000-10-07	Yes	167 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Owen Beck	C	22	2004-02-03	No	199 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	853,333$	0$	0$	No	Link / NHL Link
Victor Eklund	RW	19	2006-10-03	Yes	161 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Zack Ostapchuk	C	23	2003-05-29	No	212 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	825,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
10	23.80	190 Lbs	6 ft0	2.00	900,333$

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			20	1	2	2
4			10	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
10	14	L1	55	105	160	540	410	107	64	292	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	6	3	1	0	0	0	55	46

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	2	0	0	0	0	28	26

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	3	1	1	0	0	0	27	20

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	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
41	6	14.63%	30	6	80.00%	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
191	184	162	3	26	14	14	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
229	455	50.33%	170	384	44.27%	114	203	56.16%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
240	176	244	66	115	58

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	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2026-09-02	10	Wolf Pack	6	Comets	3	W		BoxScore
2 - 2026-09-03	27	Wolf Pack	5	Checkers	4	W	X	BoxScore
4 - 2026-09-05	44	Barracuda	6	Wolf Pack	9	W		BoxScore
5 - 2026-09-06	60	Wolf Pack	7	Phantoms	6	W		BoxScore
7 - 2026-09-08	75	Crunch	2	Wolf Pack	3	W		BoxScore
8 - 2026-09-09	84	Americans	7	Wolf Pack	5	L		BoxScore
10 - 2026-09-11	98	Heat	4	Wolf Pack	9	W		BoxScore
11 - 2026-09-12	124	Wolf Pack	2	Griffins	4	L		BoxScore
13 - 2026-09-14	137	Wolf Pack	7	Canucks	3	W		BoxScore
14 - 2026-09-15	159	Silver Knights	7	Wolf Pack	2	L		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	40	25
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
34	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	900,333$	900,333$	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$	0	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
2017	78	17	48	0	4	7	0	2	417	548	-131	39	10	24	0	2	3	0	0	228	292	-64	39	7	24	0	2	4	0	2	189	256	-67	51	417	771	1188	2	0	129	154	130	4	1889	601	600	670	25	2241	726	1474	1509	288	92	31.94%	414	211	49.03%	26	526	1166	45.11%	571	1257	45.43%	863	1828	47.21%	1762	1081	1619	725	1324	617
2019	82	33	27	0	9	3	5	5	261	239	22	41	16	15	0	4	0	3	3	124	117	7	41	17	12	0	5	3	2	2	137	122	15	102	261	463	724	3	1	94	71	82	15	3008	1006	955	986	94	2817	828	602	2018	266	47	17.67%	264	49	81.44%	2	1736	3208	54.11%	1544	2914	52.99%	683	1327	51.47%	2005	1388	1931	597	1063	540
2020	82	36	33	0	6	3	2	2	339	297	42	41	19	16	0	2	2	1	1	173	148	25	41	17	17	0	4	1	1	1	166	149	17	93	339	619	958	3	2	119	120	92	9	3195	1042	1034	1078	55	3094	877	674	2141	274	68	24.82%	275	67	75.64%	2	1581	3124	50.61%	1546	3183	48.57%	686	1399	49.04%	1963	1378	1970	591	1028	511
2021	82	38	32	0	5	5	1	1	339	320	19	41	21	15	0	3	2	0	0	164	154	10	41	17	17	0	2	3	1	1	175	166	9	94	339	622	961	1	0	0	140	104	89	3648	0	1174	1218	1227	3612	1025	668	2337	264	64	24.24%	298	65	78.19%	4	1690	3474	48.65%	1675	3511	47.71%	695	1480	46.96%	1902	1340	2041	584	1003	485
2022	82	37	26	0	7	9	2	1	373	350	23	41	21	11	0	3	3	2	1	198	170	28	41	16	15	0	4	6	0	0	175	180	-5	102	373	703	1076	0	0	0	141	122	101	4041	0	1322	1232	1428	3947	1109	592	2494	269	61	22.68%	256	54	78.91%	2	1703	3571	47.69%	1744	3785	46.08%	705	1462	48.22%	1870	1320	2098	576	992	485
2023	82	35	32	0	9	3	2	1	396	358	38	41	22	13	0	4	0	1	1	205	174	31	41	13	19	0	5	3	1	0	191	184	7	96	396	751	1147	2	0	0	156	135	94	4330	0	1416	1424	1420	4331	1205	667	2748	282	67	23.76%	290	63	78.28%	2	1611	3686	43.71%	1722	3999	43.06%	660	1545	42.72%	1813	1268	2146	594	998	475
2024	82	34	33	0	4	9	2	0	379	395	-16	41	20	16	0	2	2	1	0	190	181	9	41	14	17	0	2	7	1	0	189	214	-25	89	379	724	1103	0	1	0	163	110	100	4099	0	1333	1352	1382	3755	1072	567	2581	299	52	17.39%	250	55	78.00%	5	1614	3487	46.29%	1598	3310	48.28%	733	1557	47.08%	1915	1381	2073	565	964	471
2025	82	41	27	0	2	6	3	3	371	342	29	41	22	13	0	2	2	2	0	180	160	20	41	19	14	0	0	4	1	3	191	182	9	101	371	707	1078	1	0	0	153	119	94	3985	0	1362	1318	1262	3742	1045	571	2539	290	46	15.86%	253	49	80.63%	4	1611	3415	47.17%	1599	3318	48.19%	694	1456	47.66%	1908	1373	2087	561	967	473
2026	10	6	3	0	1	0	0	0	55	46	9	5	3	2	0	0	0	0	0	28	26	2	5	3	1	0	1	0	0	0	27	20	7	14	55	105	160	0	0	26	14	14	1	540	191	184	162	3	410	107	64	292	41	6	14.63%	30	6	80.00%	0	229	455	50.33%	170	384	44.27%	114	203	56.16%	240	176	244	66	115	58
Total Regular Season	662	277	261	0	47	45	17	15	2930	2895	35	331	154	125	0	22	14	10	6	1490	1422	68	331	123	136	0	25	31	7	9	1440	1473	-33	742	2930	5465	8395	12	4	368	1112	908	507	28735	2840	9380	9440	6896	27949	7994	5879	18659	2273	503	22.13%	2330	619	73.43%	47	12301	25586	48.08%	12169	25661	47.42%	5833	12257	47.59%	15382	10708	16212	4863	8458	4119
Playoff
2019	12	5	7	0	0	0	0	0	36	41	-5	6	2	4	0	0	0	0	0	16	25	-9	6	3	3	0	0	0	0	0	20	16	4	10	36	64	100	0	1	16	10	9	1	475	152	170	152	1	478	141	80	336	36	7	19.44%	38	6	84.21%	0	229	508	45.08%	160	452	35.40%	76	197	38.58%	262	181	311	87	148	68
2021	4	0	4	0	0	0	0	0	9	16	-7	2	0	2	0	0	0	0	0	5	8	-3	2	0	2	0	0	0	0	0	4	8	-4	0	9	16	25	0	0	0	4	1	4	158	0	51	44	48	177	43	36	124	14	1	7.14%	17	2	88.24%	1	55	167	32.93%	90	184	48.91%	18	53	33.96%	85	56	119	32	51	23
2022	18	11	7	0	0	0	0	0	85	76	9	8	4	4	0	0	0	0	0	33	33	0	10	7	3	0	0	0	0	0	52	43	9	22	85	164	249	0	0	0	35	25	24	842	0	283	254	287	910	263	156	563	63	15	23.81%	60	8	86.67%	2	320	741	43.18%	358	851	42.07%	139	314	44.27%	405	287	476	131	214	101
2023	16	9	7	0	0	0	0	0	69	71	-2	7	5	2	0	0	0	0	0	37	29	8	9	4	5	0	0	0	0	0	32	42	-10	18	69	130	199	0	0	0	22	16	29	741	0	215	250	262	811	239	125	484	49	9	18.37%	54	13	75.93%	1	242	648	37.35%	317	795	39.87%	104	276	37.68%	337	236	442	118	190	88
2024	4	0	4	0	0	0	0	0	12	16	-4	2	0	2	0	0	0	0	0	8	10	-2	2	0	2	0	0	0	0	0	4	6	-2	0	12	24	36	0	0	0	6	5	1	151	0	46	58	40	168	34	22	109	16	2	12.50%	11	0	100.00%	0	60	150	40.00%	63	160	39.38%	18	67	26.87%	76	49	127	32	50	22
2025	11	6	5	0	0	0	0	0	53	48	5	5	2	3	0	0	0	0	0	24	23	1	6	4	2	0	0	0	0	0	29	25	4	12	53	102	155	1	0	0	18	16	18	502	0	172	164	160	522	143	102	358	40	8	20.00%	36	14	61.11%	0	189	438	43.15%	215	459	46.84%	85	196	43.37%	240	171	294	76	129	61
Total Playoff	65	31	34	0	0	0	0	0	264	268	-4	30	13	17	0	0	0	0	0	123	128	-5	35	18	17	0	0	0	0	0	141	140	1	62	264	500	764	1	1	16	95	72	77	2869	152	937	922	798	3066	863	521	1974	218	42	19.27%	216	43	80.09%	4	1095	2652	41.29%	1203	2901	41.47%	440	1103	39.89%	1407	983	1772	478	785	366