PSL - Pro Simulation League

Devils
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	William Carrier		X			100.00	85	37	91	70	83	78	81	66	58	64	60	65	62	76	74	43	75	66	0
2	Ville Koivunen	X				100.00	60	39	76	67	71	83	87	69	74	68	62	61	65	63	65	71	75	64	0
3	Fabian Lysell			X		100.00	61	39	76	66	70	82	83	64	58	63	59	57	66	63	65	81	75	62	0
4	Sam Poulin			X		100.00	73	40	79	63	84	83	86	58	55	62	59	61	63	65	67	79	75	62	0
5	Tyler Motte	X	X	X		100.00	63	24	82	59	57	69	73	53	66	51	52	74	48	63	61	40	75	58	0
6	Kevin Labanc		X	X		100.00	61	24	79	57	59	68	64	56	43	58	50	52	55	64	60	40	75	56	0
7	Markus Nurmi			X		100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	42	0
8	Roni Hirvonen	X				100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	42	0
9	Logan Stanley				X	100.00	73	84	63	64	99	87	86	61	30	73	62	70	51	69	71	69	75	66	0
10	Tobias Bjornfot				X	100.00	67	38	90	63	74	80	82	58	30	60	59	63	49	65	67	79	75	62	0
Scratches
1	Matt Coronato (R)			X		100.00	61	36	88	78	67	88	90	76	72	73	74	65	79	64	68	83	75	69	0
2	Oliver Moore (R)	X				100.00	61	37	89	71	70	80	82	65	74	67	66	64	69	61	63	83	75	64	0
3	Berkly Catton (R)	X				100.00	54	36	85	72	66	81	85	69	58	61	60	62	71	61	63	89	75	63	0
4	Zeev Buium (R)				X	100.00	59	37	83	74	71	90	89	73	30	70	60	63	55	60	62	85	75	65	0
5	Hunter Brzustewicz				X	100.00	62	36	94	63	72	83	86	59	30	64	57	58	49	62	64	66	75	61	0
6	Ville Heinola				X	100.00	62	39	84	65	71	82	72	64	30	63	52	57	48	65	67	79	75	61	0
7	Ryan Chesley (R)				X	100.00	64	37	92	60	73	67	84	59	30	61	57	58	49	62	64	76	75	61	0

	TEAM AVERAGE					100.00	62	39	78	63	69	75	77	61	48	61	57	59	56	61	62	67	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
1	Ty Young	100.00	70	76	72	80	69	68	70	69	68	70	69	62	67	56	75	62	0
Scratches

	TEAM AVERAGE	100.00	70	76	72	80	69	68	70	69	68	70	69	62	67	56	75	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Bylsma	75	77	80	81	82	77	66	USA	55	1	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
Berkly Catton	C	20	2006-01-14	Yes	179 Lbs	5 ft10	No	No	No	2	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Fabian Lysell	RW	23	2003-01-19	No	181 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	863,334$	0$	0$	No	Link / NHL Link
Hunter Brzustewicz	D	21	2004-11-29	No	190 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Kevin Labanc	LW/RW	30	1995-12-12	No	185 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Logan Stanley	D	28	1998-05-26	No	231 Lbs	6 ft7	No	No	No	3	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Markus Nurmi	RW	28	1998-06-29	No	206 Lbs	6 ft5	No	No	No	1	UFA	Pro & Farm	842,500$	0$	0$	No	Link / NHL Link
Matt Coronato	RW	23	2002-11-14	Yes	183 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Oliver Moore	C	21	2005-01-22	Yes	188 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Roni Hirvonen	C	24	2002-01-10	No	178 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	856,667$	0$	0$	No	Link / NHL Link
Ryan Chesley	D	22	2004-02-27	Yes	195 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Sam Poulin	RW	25	2001-02-25	No	217 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Tobias Bjornfot	D	25	2001-04-06	No	200 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Ty Young	G	22	2004-09-11	No	181 Lbs	6 ft3	No	No	No	1	ELC	Pro & Farm	825,000$	0$	0$	No	Link / NHL Link
Tyler Motte	C/LW/RW	31	1995-03-10	No	194 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	1,350,000$	0$	0$	No	Link / NHL Link
Ville Heinola	D	25	2001-03-02	No	181 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	1,500,000$	0$	0$	No	Link / NHL Link
Ville Koivunen	C	23	2003-06-13	No	184 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	805,833$	0$	0$	No	Link / NHL Link
William Carrier	LW	31	1994-12-20	No	214 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	1,400,000$	0$	0$	No	Link / NHL Link
Zeev Buium	D	20	2005-12-07	Yes	183 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
18	24.56	193 Lbs	6 ft0	1.67	967,685$

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	Ville Koivunen		Fabian Lysell	20	1	2	2
4		Ville Koivunen		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		Fabian Lysell	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		Fabian Lysell	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
, , Ville Koivunen	,	Ville Koivunen

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , Fabian Lysell,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , Fabian Lysell, , , , , Ville Koivunen, ,

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	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	31	10
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
39	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,741,833$	1,741,833$	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	19	50	0	4	2	3	0	426	600	-174	39	7	24	0	4	1	3	0	214	315	-101	39	12	26	0	0	1	0	0	212	285	-73	54	426	730	1156	2	0	81	175	163	7	2510	658	929	899	35	2695	826	2376	1859	369	165	44.72%	311	146	53.05%	10	715	1574	45.43%	599	1304	45.94%	870	1879	46.30%	1508	811	1796	729	1402	674
2019	82	28	36	0	7	7	3	1	238	243	-5	41	15	17	0	3	3	2	1	127	120	7	41	13	19	0	4	4	1	0	111	123	-12	84	238	434	672	5	8	96	62	70	11	2843	979	916	897	74	2712	889	552	1991	281	49	17.44%	231	52	77.49%	2	1585	3008	52.69%	1538	2875	53.50%	645	1255	51.39%	1964	1362	1959	605	1054	525
2019	82	22	48	0	6	5	0	1	209	268	-59	41	12	24	0	3	1	0	1	113	134	-21	41	10	24	0	3	4	0	0	96	134	-38	62	209	387	596	4	4	83	68	52	6	2737	949	897	875	21	2987	796	585	1948	242	45	18.60%	265	53	80.00%	4	1508	2953	51.07%	1559	3112	50.10%	640	1293	49.50%	1920	1330	1990	586	1034	511
2020	82	29	44	0	1	6	1	1	318	375	-57	41	17	19	0	1	2	1	1	168	179	-11	41	12	25	0	0	4	0	0	150	196	-46	69	318	583	901	2	0	139	93	84	4	3196	1050	1044	1083	30	3187	880	613	2146	277	73	26.35%	274	90	67.15%	0	1670	3179	52.53%	1570	3057	51.36%	753	1487	50.64%	1898	1310	2002	587	1039	511
2020	82	25	48	0	3	4	1	1	326	363	-37	41	15	22	0	2	2	0	0	171	162	9	41	10	26	0	1	2	1	1	155	201	-46	63	326	603	929	2	3	123	109	90	5	3359	1149	1100	1084	32	3383	1002	648	2230	269	49	18.22%	281	79	71.89%	2	1395	3175	43.94%	1367	3184	42.93%	640	1478	43.30%	1871	1308	2054	591	1012	490
2021	82	29	43	0	3	5	1	1	346	389	-43	41	13	22	0	1	5	0	0	171	205	-34	41	16	21	0	2	0	1	1	175	184	-9	72	346	659	1005	1	0	0	149	110	83	3738	0	1248	1275	1192	3852	1098	769	2529	267	81	30.34%	351	82	76.64%	4	1630	3458	47.14%	1678	3525	47.60%	679	1486	45.69%	1864	1305	2090	587	990	469
2022	82	25	40	0	7	6	2	2	389	449	-60	41	14	18	0	4	3	1	1	206	239	-33	41	11	22	0	3	3	1	1	183	210	-27	76	389	729	1118	4	0	0	158	113	109	3962	0	1300	1308	1306	4188	1201	712	2485	251	70	27.89%	304	72	76.32%	5	1587	3524	45.03%	1605	3678	43.64%	710	1601	44.35%	1823	1280	2139	584	999	475
2023	82	28	42	0	6	4	1	1	396	450	-54	41	14	21	0	2	3	0	1	191	223	-32	41	14	21	0	4	1	1	0	205	227	-22	75	396	738	1134	2	0	0	150	127	112	4144	0	1356	1397	1372	4212	1245	597	2431	274	59	21.53%	262	74	71.76%	2	1838	3563	51.59%	1757	3494	50.29%	816	1607	50.78%	1893	1344	2050	580	999	485
2024	82	38	31	0	8	3	0	2	406	376	30	41	18	17	0	4	2	0	0	202	180	22	41	20	14	0	4	1	0	2	204	196	8	97	406	769	1175	0	0	0	166	125	107	4037	0	1364	1276	1363	3733	1003	653	2381	263	69	26.24%	273	65	76.19%	3	1658	3409	48.64%	1610	3289	48.95%	731	1525	47.93%	1940	1407	2045	557	967	471
2025	82	45	24	0	4	5	1	3	406	336	70	41	29	9	0	2	0	0	1	223	150	73	41	16	15	0	2	5	1	2	183	186	-3	108	406	764	1170	3	1	0	166	136	99	3942	0	1286	1362	1258	3625	1069	646	2524	301	66	21.93%	276	64	76.81%	1	1702	3521	48.34%	1594	3322	47.98%	707	1482	47.71%	1943	1405	2053	565	961	468
Total Regular Season	816	288	406	0	49	47	13	13	3460	3849	-389	408	154	193	0	26	22	7	6	1786	1907	-121	408	134	213	0	23	25	6	7	1674	1942	-268	760	3460	6396	9856	25	16	522	1296	1070	543	34468	4785	11440	11456	6683	34574	10009	8151	22524	2794	726	25.98%	2828	777	72.52%	33	15288	31364	48.74%	14877	30840	48.24%	7191	15093	47.64%	18628	12865	20182	5976	10461	5086
Playoff
2024	6	2	4	0	0	0	0	0	20	25	-5	3	1	2	0	0	0	0	0	11	12	-1	3	1	2	0	0	0	0	0	9	13	-4	4	20	38	58	0	0	0	7	5	7	248	0	79	72	87	200	59	28	140	20	3	15.00%	14	3	78.57%	0	90	231	38.96%	79	207	38.16%	43	101	42.57%	128	89	171	46	73	33
2025	5	1	4	0	0	0	0	0	22	27	-5	3	0	3	0	0	0	0	0	11	16	-5	2	1	1	0	0	0	0	0	11	11	0	2	22	41	63	0	0	0	11	5	6	256	0	92	66	96	269	65	57	160	13	2	15.38%	21	5	76.19%	0	101	217	46.54%	120	219	54.79%	49	88	55.68%	121	90	131	32	53	25
Total Playoff	11	3	8	0	0	0	0	0	42	52	-10	6	1	5	0	0	0	0	0	22	28	-6	5	2	3	0	0	0	0	0	20	24	-4	6	42	79	121	0	0	0	18	10	13	504	0	171	138	183	469	124	85	300	33	5	15.15%	35	8	77.14%	0	191	448	42.63%	199	426	46.71%	92	189	48.68%	249	179	302	79	127	59