NHLS - National Hockey League Simulated

Monsters

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Marco Turcotte | Morale : 75 | Team Overall : 60
Next Games #5 vs Barracuda

Blue Jackets
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	TA	SP
Scratches
1	Zachary L'Heureux		X			100.00	80	61	69	67	72	82	83	66	61	65	67	68	62	63	65	80	75	65		0
2	Brendan Hoffman (R)			X		100.00	80	39	95	56	89	81	68	57	62	59	58	63	56	65	67	42	75	62		0
3	Artem Shlaine (R)	X				100.00	61	36	95	59	70	78	85	58	60	57	56	55	59	64	66	56	75	60		0
4	Kaleb Lawrence	X				100.00	90	69	58	56	99	68	69	54	59	53	55	62	56	63	65	49	75	60		0
5	Oscar Fisker Molgaard (R)	X				100.00	61	36	94	62	68	76	83	59	61	60	58	57	59	61	63	72	75	60		0
6	Chase Wouters	X				100.00	62	39	72	58	71	81	87	56	62	59	57	55	58	66	71	42	75	60		0
7	David Silye (R)	X				100.00	61	39	82	57	70	68	81	56	63	55	54	58	53	67	69	37	75	59		0
8	Ethan Keppen		X			100.00	74	42	70	56	83	75	73	55	53	54	57	58	56	65	67	56	75	59		0
9	Maros Jedlicka	X				100.00	70	40	81	58	79	64	71	55	59	54	56	57	53	64	66	48	75	59		0
10	Chris Douglas (R)			X		100.00	70	41	74	55	79	67	63	53	50	52	54	56	51	66	68	42	75	58		0
11	Samuel Johannesson				X	100.00	59	37	95	61	68	70	77	58	30	62	54	56	47	66	68	47	75	60		0
12	Djibril Toure				X	100.00	90	56	53	55	99	64	73	54	30	53	53	61	45	63	65	44	75	59		0
13	Nikita Novikov				X	100.00	74	42	75	56	83	64	85	55	30	57	54	58	46	63	65	49	75	59		0
14	Ole Bjorgvik-Holm (R)				X	100.00	69	40	75	55	78	64	74	54	30	53	52	56	45	64	66	54	75	58		0
15	Carter Berger (R)				X	100.00	66	37	91	56	74	65	63	53	30	54	50	55	46	67	69	51	75	57		0
16	Noah Beck (R)				X	100.00	74	40	73	53	83	66	64	51	30	52	50	56	45	65	67	47	75	57		0

	TEAM AVERAGE					100.00	71	43	78	58	79	71	75	56	48	56	55	58	52	65	67	51	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	TA	SP
Scratches
1	Isaiah Saville	100.00	72	73	68	76	71	70	72	71	70	72	71	66	75	54	75	63		0
2	Luke Cavallin	100.00	69	73	69	80	68	67	69	68	67	69	68	66	73	42	75	61		0

	TEAM AVERAGE	100.00	71	73	69	78	70	69	71	70	69	71	70	66	74	48	75	62

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jason King	65	71	70	69	66	61	82	CAN	44	1	500,000$

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	Team 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
Artem Shlaine		C	25	2002-03-07	Yes	165 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Brendan Hoffman		RW	26	2001-10-09	Yes	230 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Carter Berger		D	28	1999-09-17	Yes	200 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Chase Wouters		C	27	2000-02-08	No	182 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Chris Douglas		RW	27	2000-07-06	Yes	194 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
David Silye		C	28	1999-03-02	Yes	187 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Djibril Toure		D	24	2003-06-05	No	217 Lbs	6 ft7	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Ethan Keppen		LW	26	2001-03-20	No	212 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Isaiah Saville		G	27	2000-09-21	No	193 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Kaleb Lawrence		C	24	2003-01-10	No	230 Lbs	6 ft7	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Luke Cavallin		G	26	2001-04-29	No	196 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Maros Jedlicka		C	25	2002-10-23	No	194 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Nikita Novikov		D	24	2003-07-25	No	196 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Noah Beck		D	26	2001-03-25	Yes	184 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Ole Bjorgvik-Holm		D	25	2002-05-23	Yes	190 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Oscar Fisker Molgaard		C	22	2005-02-18	Yes	168 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Samuel Johannesson		D	27	2000-12-27	No	176 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Zachary L'Heureux		LW	24	2003-05-15	No	197 Lbs	5 ft11	No	No	No	1	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
18	25.61	195 Lbs	6 ft2	2.39	912,500$

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
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
1 - 2026-09-19	5	Monsters	-	Barracuda	-
2 - 2026-09-20	23	Condors	-	Monsters	-
4 - 2026-09-22	37	Monsters	-	Americans	-
5 - 2026-09-23	55	Reign	-	Monsters	-
7 - 2026-09-25	68	Monsters	-	Bruins	-
8 - 2026-09-26	87	Monsters	-	Firebirds	-
10 - 2026-09-28	99	IceHogs	-	Monsters	-
11 - 2026-09-29	118	Monsters	-	Phantoms	-
13 - 2026-10-01	138	Senators	-	Monsters	-
14 - 2026-10-02	147	Wranglers	-	Monsters	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	25	15
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$	1,642,500$	1,642,500$	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$	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	24	24	0	3	2	1	2	205	201	4	28	14	12	0	0	1	1	0	107	97	10	28	10	12	0	3	1	0	2	98	104	-6	60	205	376	581	2	0	0	75	61	65	1945	0	643	598	685	2015	611	383	1374	179	40	22.35%	169	35	79.29%	1	1001	2127	47.06%	993	2064	48.11%	457	963	47.46%	1304	887	1344	422	737	361
2021	82	34	38	0	2	3	3	2	278	291	-13	41	18	18	0	1	1	2	1	144	144	0	41	16	20	0	1	2	1	1	134	147	-13	83	278	502	780	3	2	0	116	81	76	2852	0	940	970	919	2744	754	653	1969	264	63	23.86%	281	65	76.87%	2	1456	3035	47.97%	1517	3027	50.12%	681	1367	49.82%	1923	1315	1963	615	1067	527
2022	82	40	28	0	8	3	2	1	300	264	36	41	25	14	0	1	0	1	0	148	124	24	41	15	14	0	7	3	1	1	152	140	12	104	300	547	847	4	2	0	111	89	90	2823	0	917	919	958	2948	821	812	1918	326	57	17.48%	327	67	79.51%	3	1502	2998	50.10%	1561	3172	49.21%	673	1372	49.05%	1897	1290	1998	623	1060	520
2023	83	30	36	0	3	7	5	2	275	290	-15	41	18	17	0	3	1	1	1	132	126	6	42	12	19	0	0	6	4	1	143	164	-21	85	275	501	776	2	0	0	92	96	79	2757	0	911	874	922	2785	834	722	2083	301	56	18.60%	326	72	77.91%	3	1453	2951	49.24%	1455	3026	48.08%	682	1374	49.64%	1988	1369	1973	622	1075	537
2024	82	27	34	0	9	4	6	2	227	234	-7	41	17	11	0	6	3	2	2	125	108	17	41	10	23	0	3	1	4	0	102	126	-24	90	227	410	637	1	3	0	79	63	70	2145	0	716	699	699	2386	614	690	2044	251	45	17.93%	311	57	81.67%	1	1275	2538	50.24%	1318	2698	48.85%	581	1212	47.94%	1901	1288	2004	618	1079	534
2025	82	37	33	0	4	1	1	6	236	241	-5	41	23	13	0	1	1	0	3	124	114	10	41	14	20	0	3	0	1	3	112	127	-15	91	236	423	659	3	1	0	81	82	68	2333	0	788	748	773	2438	721	770	2157	259	46	17.76%	331	58	82.48%	5	1334	2694	49.52%	1378	2818	48.90%	647	1283	50.43%	1883	1275	2012	619	1067	525
Total Regular Season	467	192	193	0	29	20	18	15	1521	1521	0	233	115	85	0	12	7	7	7	780	713	67	234	77	108	0	17	13	11	8	741	808	-67	513	1521	2759	4280	15	8	0	554	472	448	14855	0	4915	4808	4956	15316	4355	4030	11545	1580	307	19.43%	1745	354	79.71%	15	8021	16343	49.08%	8222	16805	48.93%	3721	7571	49.15%	10898	7427	11297	3523	6087	3007
Playoff
2022	16	9	7	0	0	0	0	0	58	67	-9	8	4	4	0	0	0	0	0	28	35	-7	8	5	3	0	0	0	0	0	30	32	-2	18	58	102	160	0	0	0	21	19	15	538	0	176	178	172	652	194	165	444	66	14	21.21%	77	23	70.13%	1	293	595	49.24%	313	675	46.37%	136	284	47.89%	352	231	420	130	215	102
2024	5	1	4	0	0	0	0	0	9	19	-10	2	0	2	0	0	0	0	0	2	7	-5	3	1	2	0	0	0	0	0	7	12	-5	2	9	16	25	0	0	0	4	4	1	131	0	38	40	48	166	51	44	132	12	2	16.67%	17	4	76.47%	0	75	161	46.58%	90	176	51.14%	38	79	48.10%	110	71	135	41	67	31
Total Playoff	21	10	11	0	0	0	0	0	67	86	-19	10	4	6	0	0	0	0	0	30	42	-12	11	6	5	0	0	0	0	0	37	44	-7	20	67	118	185	0	0	0	25	23	16	669	0	214	218	220	818	245	209	576	78	16	20.51%	94	27	71.28%	1	368	756	48.68%	403	851	47.36%	174	363	47.93%	462	303	555	171	283	134

Back to the Top