PSL - Pro Simulation League

Canadiens
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	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Tyson Jost	X	X		100.00	69	39	80	67	70	81	83	63	72	61	62	68	64	72	70	71	75	64	0
2	Hendrix Lapierre	X			100.00	65	38	88	72	73	80	85	65	78	69	58	62	61	64	66	80	75	64	0
3	Jonah Gadjovich		X		100.00	86	77	65	66	86	72	69	62	58	60	61	63	56	68	69	59	75	63	0
4	Nolan Foote		X		100.00	73	40	81	62	83	82	84	63	58	61	60	64	59	66	68	76	75	63	0
5	Taylor Makar (R)		X		100.00	71	40	73	58	81	75	84	56	54	53	57	55	59	65	67	47	75	59	0
6	Jack Dugan		X		100.00	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	40	75	42	0
7	Colin Miller			X	100.00	73	35	82	67	77	84	74	66	30	71	59	64	52	78	74	26	75	65	0
8	Travis Hamonic			X	100.00	72	47	82	64	76	87	75	62	30	66	52	75	48	86	76	34	75	64	0
9	Marc Del Gaizo (R)			X	100.00	67	39	83	63	70	85	86	61	30	64	58	62	50	67	69	51	75	62	0
10	Steven Santini			X	100.00	75	39	91	60	87	75	79	57	30	61	52	58	46	71	76	58	75	62	0
11	Calen Addison			X	100.00	58	39	76	63	67	72	84	58	30	64	54	56	48	66	68	67	75	60	0
Scratches

	TEAM AVERAGE				100.00	68	43	76	62	74	76	77	59	46	61	56	61	53	68	68	55	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	Drew Commesso	100.00	76	87	83	76	75	74	76	75	74	76	75	64	71	73	75	65	0
2	Calle Clang	100.00	75	84	80	79	74	73	75	74	73	75	74	64	71	64	75	64	0
Scratches
1	Carson Bjarnason (R)	100.00	72	83	79	81	71	70	72	71	70	72	71	61	65	72	75	63	0

	TEAM AVERAGE	100.00	74	85	81	79	73	72	74	73	72	74	73	63	69	70	75	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jeff Halpern	64	75	79	65	75	70	76	USA	50	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	PPS	PPM	PKM	GW	FO%	FOT	P/20	FT	S1	S3
1	Jonah Gadjovich	Rocket (MTL)	LW	10	9	9	18	3	30	10	57	28	68	20	45	13.24%	7	178	17.85	1	3	1	2	41.67%	12	2.02	2	3	1
2	Jack Dugan	Rocket (MTL)	LW	10	2	1	3	-3	2	0	13	2	3	2	0	66.67%	1	101	10.15	0	0	1	0	50.00%	6	0.59	0	0	1
Team Total or Average				20	11	10	21	0	32	10	70	30	71	22	45	15.49%	8	280	14.00	1	3	3	2	44.44%	18	1.50	2	3	2

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
Team Total or Average							0.000	0.00	0								0.000

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	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
Calen Addison	D	26	2000-04-11	No	173 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Calle Clang	G	24	2002-05-20	No	194 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Carson Bjarnason	G	21	2005-06-30	Yes	186 Lbs	6 ft3	No	No	No	2	ELC	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Colin Miller	D	33	1992-10-29	No	200 Lbs	6 ft1	Yes	No	No	3	UFA	Pro & Farm	1,699,999$	0$	0$	No	Link / NHL Link
Drew Commesso	G	24	2002-07-19	No	180 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Hendrix Lapierre	C	24	2002-02-09	No	195 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Jack Dugan	LW	28	1998-03-24	No	185 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Jonah Gadjovich	LW	27	1998-10-12	No	211 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Marc Del Gaizo	D	26	1999-10-11	Yes	188 Lbs	5 ft11	Yes	No	No	3	RFA	Pro & Farm	1,699,999$	0$	0$	No	Link / NHL Link
Nolan Foote	LW	25	2000-11-29	No	196 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	825,000$	0$	0$	No	Link / NHL Link
Steven Santini	D	31	1995-03-07	No	217 Lbs	6 ft3	Yes	No	No	3	UFA	Pro & Farm	1,699,999$	0$	0$	No	Link / NHL Link
Taylor Makar	LW	25	2001-03-13	Yes	190 Lbs	6 ft3	Yes	No	No	2	RFA	Pro & Farm	1,699,999$	0$	0$	No	Link / NHL Link
Travis Hamonic	D	36	1990-08-16	No	193 Lbs	6 ft1	Yes	No	No	3	UFA	Pro & Farm	1,699,999$	0$	0$	No	Link / NHL Link
Tyson Jost	C/LW	28	1998-03-14	No	187 Lbs	5 ft11	No	No	No	4	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
14	27.00	193 Lbs	6 ft1	2.29	1,130,357$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2	Jonah Gadjovich			30	1	2	2
3	Jack Dugan			20	1	2	2
4			Jonah Gadjovich	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	Jonah Gadjovich			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	Jonah Gadjovich		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	Jonah Gadjovich		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
Jack Dugan, ,	Jack Dugan,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , Jonah Gadjovich, ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , Jonah Gadjovich, , , Jack Dugan, Jack Dugan, , , ,

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	12	L1	48	91	139	545	411	112	80	348	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	6	4	0	0	0	0	48	47

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	4	1	0	0	0	0	27	22

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	2	3	0	0	0	0	21	25

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
30	5	16.67%	33	8	75.76%	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
193	179	173	0	23	15	10	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
193	454	42.51%	186	402	46.27%	67	175	38.29%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
239	176	245	67	115	54

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	Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2026-09-02	8	Rocket	6	Wolves	3	W	BoxScore
2 - 2026-09-03	26	Islanders	3	Rocket	5	W	BoxScore
4 - 2026-09-05	35	IceHogs	4	Rocket	6	W	BoxScore
5 - 2026-09-06	57	Rocket	6	Canucks	4	W	BoxScore
7 - 2026-09-08	72	Rocket	3	Gulls	6	L	BoxScore
8 - 2026-09-09	88	Griffins	7	Rocket	6	L	BoxScore
10 - 2026-09-11	97	Roadrunners	3	Rocket	4	W	BoxScore
11 - 2026-09-12	121	Rocket	5	Silver Knights	8	L	BoxScore
13 - 2026-09-14	130	Bruins	5	Rocket	6	W	BoxScore
14 - 2026-09-15	151	Rocket	1	Thunderbirds	4	L	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
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$	1,582,500$	1,582,500$	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	40	31	0	3	2	2	0	521	498	23	39	21	14	0	2	1	1	0	262	245	17	39	19	17	0	1	1	1	0	259	253	6	92	521	850	1371	0	1	125	200	191	5	2537	702	908	917	16	2406	780	1550	1980	359	165	45.96%	357	153	57.14%	23	767	1486	51.62%	753	1393	54.06%	964	1777	54.25%	1658	886	1618	696	1420	754
2019	82	36	31	0	6	6	1	2	240	225	15	41	22	10	0	4	2	1	2	124	100	24	41	14	21	0	2	4	0	0	116	125	-9	94	240	429	669	2	4	80	86	67	8	2897	970	925	965	49	2799	805	532	1786	244	45	18.44%	216	41	81.02%	0	1619	3073	52.68%	1514	2961	51.13%	654	1264	51.74%	1956	1356	1945	596	1063	528
2020	82	40	29	0	4	4	3	2	332	276	56	41	24	11	0	3	1	1	1	189	137	52	41	16	18	0	1	3	2	1	143	139	4	100	332	586	918	1	6	106	111	108	9	3246	1065	1089	1061	49	2885	841	556	1946	249	57	22.89%	225	56	75.11%	3	1794	3216	55.78%	1625	3026	53.70%	788	1408	55.97%	2039	1433	1874	586	1047	530
2021	82	44	23	0	6	5	2	2	332	280	52	41	24	10	0	3	2	1	1	173	140	33	41	20	13	0	3	3	1	1	159	140	19	111	332	596	928	0	3	0	120	94	110	3381	0	1100	1076	1167	3138	907	564	2108	269	67	24.91%	256	52	79.69%	3	1971	3383	58.26%	1688	3081	54.79%	776	1387	55.95%	2136	1536	1809	555	1018	529
2022	82	56	16	0	4	4	0	2	429	294	135	41	32	6	0	2	1	0	0	216	130	86	41	24	10	0	2	3	0	2	213	164	49	126	429	767	1196	1	2	0	147	147	131	3875	0	1273	1293	1286	3104	909	514	2008	280	67	23.93%	223	56	74.89%	0	2080	3501	59.41%	1794	3023	59.35%	860	1492	57.64%	2195	1599	1737	549	1014	536
2023	82	54	20	0	4	3	1	0	436	303	133	41	27	9	0	2	3	0	0	218	157	61	41	27	11	0	2	0	1	0	218	146	72	121	436	784	1220	0	1	0	178	146	107	3860	0	1302	1257	1287	3103	861	522	2178	298	64	21.48%	221	44	80.09%	4	2163	3625	59.67%	1774	3011	58.92%	933	1561	59.77%	2220	1605	1692	544	1019	543
2024	82	52	19	0	5	5	1	0	375	256	119	41	24	12	0	2	2	1	0	191	135	56	41	28	7	0	3	3	0	0	184	121	63	121	375	678	1053	0	4	0	138	134	97	3569	0	1136	1205	1195	3142	910	617	2372	312	64	20.51%	255	42	83.53%	2	1681	3355	50.10%	1683	3228	52.14%	714	1374	51.97%	2126	1551	1846	550	975	497
2025	82	36	29	0	8	5	2	2	309	281	28	41	19	13	0	6	1	1	1	155	134	21	41	17	16	0	2	4	1	1	154	147	7	99	309	560	869	0	1	0	125	94	80	3090	0	1016	985	1049	3066	891	635	2310	248	50	20.16%	279	42	84.95%	2	1683	2979	56.50%	1748	3103	56.33%	794	1328	59.79%	2133	1555	1858	540	977	503
2026	10	6	4	0	0	0	0	0	48	47	1	5	4	1	0	0	0	0	0	27	22	5	5	2	3	0	0	0	0	0	21	25	-4	12	48	91	139	0	0	23	15	10	0	545	193	179	173	0	411	112	80	348	30	5	16.67%	33	8	75.76%	0	193	454	42.51%	186	402	46.27%	67	175	38.29%	239	176	245	67	115	54
Total Regular Season	662	364	202	0	40	34	12	10	3022	2460	562	331	197	86	0	24	13	6	5	1555	1200	355	331	167	116	0	16	21	6	5	1467	1260	207	876	3022	5341	8363	4	22	334	1120	991	547	27000	2930	8928	8932	6098	24054	7016	5570	17036	2289	584	25.51%	2065	494	76.08%	37	13951	25072	55.64%	12765	23228	54.96%	6550	11766	55.67%	16705	11700	14628	4687	8651	4478
Playoff
2017	4	0	4	0	0	0	0	0	17	38	-21	2	0	2	0	0	0	0	0	7	12	-5	2	0	2	0	0	0	0	0	10	26	-16	0	17	31	48	0	0	4	5	8	0	119	38	39	42	0	186	65	150	70	10	2	20.00%	30	17	43.33%	1	40	62	64.52%	61	92	66.30%	72	104	69.23%	85	51	88	35	65	30
2021	8	4	4	0	0	0	0	0	28	28	0	4	2	2	0	0	0	0	0	12	13	-1	4	2	2	0	0	0	0	0	16	15	1	8	28	48	76	0	0	0	11	10	6	334	0	99	111	78	324	86	81	233	33	5	15.15%	28	3	89.29%	1	175	346	50.58%	189	347	54.47%	74	145	51.03%	234	163	212	67	120	62
2022	11	6	5	0	0	0	0	0	42	37	5	6	4	2	0	0	0	0	0	28	22	6	5	2	3	0	0	0	0	0	14	15	-1	12	42	78	120	0	0	0	17	9	15	371	0	138	108	121	342	88	60	253	38	11	28.95%	28	8	71.43%	0	153	392	39.03%	162	381	42.52%	87	187	46.52%	262	185	263	78	138	68
2023	10	5	5	0	0	0	0	0	50	47	3	6	3	3	0	0	0	0	0	33	27	6	4	2	2	0	0	0	0	0	17	20	-3	10	50	88	138	0	0	0	12	22	15	449	0	141	138	149	485	141	72	313	25	9	36.00%	35	9	74.29%	2	240	415	57.83%	229	419	54.65%	106	195	54.36%	259	183	234	66	126	66
2024	9	4	5	0	0	0	0	0	29	30	-1	5	3	2	0	0	0	0	0	20	17	3	4	1	3	0	0	0	0	0	9	13	-4	8	29	51	80	0	0	0	13	9	6	400	0	121	117	128	390	112	78	257	37	3	8.11%	34	9	73.53%	0	174	387	44.96%	213	408	52.21%	70	134	52.24%	242	174	225	64	109	56
2025	10	5	5	0	0	0	0	0	35	37	-2	4	3	1	0	0	0	0	0	17	12	5	6	2	4	0	0	0	0	0	18	25	-7	10	35	64	99	0	0	0	15	10	8	398	0	122	139	118	482	145	100	327	38	7	18.42%	45	8	82.22%	0	166	400	41.50%	212	468	45.30%	85	174	48.85%	240	167	273	74	126	61
Total Playoff	52	24	28	0	0	0	0	0	201	217	-16	27	15	12	0	0	0	0	0	117	103	14	25	9	16	0	0	0	0	0	84	114	-30	48	201	360	561	0	0	4	73	68	50	2071	38	660	655	594	2209	637	541	1453	181	37	20.44%	200	54	73.00%	4	948	2002	47.35%	1066	2115	50.40%	494	939	52.61%	1325	925	1297	387	686	345