LHSDB - Ligue de hockey simulee des debiles barbus

Carolina Hurricanes
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records
Web Lines Editor

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	Stefan Noesen	0		X	X		100.00	75	48	76	68	78	85	82	66	59	67	70	63	72	76	78	49	50	67	0
2	Sammy Blais	0		X	X		100.00	87	51	70	66	82	79	80	65	69	70	64	67	63	71	72	39	50	67	0
3	Alex Belzile	0			X		100.00	65	44	63	66	74	93	85	64	70	67	65	62	64	75	77	23	50	66	0
4	Nils Hoglander	0		X	X		100.00	71	33	89	72	66	79	80	68	57	65	60	62	67	68	66	72	50	64	0
5	Gerry Mayhew	0	X				100.00	61	37	83	63	62	84	82	62	65	61	63	60	64	74	76	23	50	63	0
6	Valtteri Puustinen	0			X		100.00	62	36	93	65	68	83	82	64	60	63	62	61	66	68	69	42	50	63	0
7	Akil Thomas	0	X				100.00	68	38	89	65	73	77	71	59	63	60	58	62	64	66	68	70	50	62	0
8	Brad Lambert	0	X				100.00	64	37	86	68	72	82	83	66	57	60	58	56	63	65	67	78	50	62	0
9	Max Jones	0		X			100.00	83	53	71	64	87	78	83	59	57	56	61	58	63	70	69	67	50	62	0
10	Quentin Musty (R)	0		X			100.00	71	42	76	59	80	79	83	58	55	56	57	54	59	61	63	80	50	60	0
11	Tom Willander (R)	0				X	100.00	63	36	88	67	73	85	88	65	30	69	59	64	50	61	63	85	50	65	0
12	Cal Foote	0				X	100.00	85	41	87	58	94	66	68	57	30	59	54	62	47	68	70	72	50	64	0
13	Jake Bean	0				X	100.00	60	35	91	67	76	86	74	65	30	63	57	62	51	69	68	70	50	64	0
14	Kale Clague	0				X	100.00	63	39	84	60	72	78	86	58	30	61	56	57	48	68	70	59	50	62	0
15	David Spacek	0				X	100.00	62	37	89	60	69	76	85	57	30	61	53	56	47	63	65	49	50	61	0
16	Philip Kemp	0				X	100.00	75	42	76	56	84	65	83	54	30	53	55	57	46	67	72	42	50	61	0
17	Ty Gallagher	0				X	100.00	63	39	82	61	72	71	69	58	30	60	56	55	48	63	65	49	50	60	0
Scratches
1	Jeff Malott	0		X			100.00	81	49	70	68	92	83	85	65	62	64	63	67	65	70	72	35	50	67	0
2	Amadeus Lombardi	0	X				100.00	63	37	89	68	63	86	77	65	70	67	66	61	68	63	65	59	50	64	0
3	Colin White	0	X				100.00	67	39	81	64	76	80	78	63	66	62	61	65	63	71	70	67	50	64	0
4	Brendan Hoffman	0			X		100.00	80	39	95	56	89	81	68	57	62	59	58	63	56	65	67	42	50	62	0
5	Aidan Thompson (R)	0	X				100.00	59	36	89	57	68	84	82	56	60	58	53	55	52	64	66	62	50	59	0
6	Blake Biondi (R)	0	X				100.00	65	37	91	54	74	75	70	52	56	51	53	55	52	64	66	59	50	56	0
7	Ethan Bear	0				X	100.00	64	38	86	62	72	67	79	58	30	69	56	59	53	69	71	47	50	62	0
8	Lucas Johansen	0				X	100.00	67	39	82	55	76	64	72	54	30	56	52	57	46	69	71	65	50	59	0

	TEAM AVERAGE					100.00	69	40	83	63	76	79	79	61	50	61	59	60	57	68	69	56	50	63

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	Marcus Hogberg	100.00	74	82	77	96	73	72	74	73	72	74	73	72	86	50	50	75	0
2	Jack LaFontaine	100.00	72	73	67	81	71	70	72	71	70	72	71	68	81	54	50	71	0
Scratches
1	Hunter Jones	100.00	58	71	67	85	57	56	58	57	56	58	57	66	75	65	50	62	0

	TEAM AVERAGE	100.00	68	75	70	87	67	66	68	67	66	68	67	69	81	56	50	69

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Aaron Schneekloth	63	71	69	70	72	67	78	CAN	48	6	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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Nils Hoglander	Wolves (Car)	LW/RW	5	7	1	8	2	4	16	10	35	10	18	20.00%	4	98	19.74	3	3	6	15	0	17	0	28.57%	14	1.62	1	1	1
2	Brad Lambert	Wolves (Car)	C	5	3	2	5	-1	16	13	5	10	1	12	30.00%	11	104	20.80	0	0	1	8	1	2	1	59.38%	32	0.96	0	2	0
3	Akil Thomas	Wolves (Car)	C	5	0	3	3	-5	4	19	9	24	9	16	0.00%	3	100	20.08	0	0	0	0	0	6	0	63.44%	93	0.60	0	0	0
4	Amadeus Lombardi	Wolves (Car)	C	1	0	0	0	-2	2	1	4	2	0	0	0.00%	1	24	24.00	0	0	0	0	0	0	0	40.00%	10	0.00	0	0	0
Team Total or Average				16	10	6	16	-6	26	49	28	71	20	46	14.08%	19	327	20.45	3	3	7	23	1	25	1	57.72%	149	0.98	1	3	1

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
Aidan Thompson	C	24	2002-02-18	Yes	180 Lbs	5 ft11	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Akil Thomas	C	26	2000-01-02	No	195 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Alex Belzile	RW	35	1991-08-31	No	196 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Amadeus Lombardi	C	23	2003-06-05	No	165 Lbs	5 ft10	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Blake Biondi	C	24	2002-04-24	Yes	197 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Brad Lambert	C	22	2003-12-19	No	173 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Brendan Hoffman	RW	25	2001-10-09	No	230 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Cal Foote	D	27	1998-12-13	No	224 Lbs	6 ft5	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link
Colin White	C	29	1997-01-30	No	195 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
David Spacek	D	23	2003-02-18	No	174 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Ethan Bear	D	29	1997-06-26	No	197 Lbs	5 ft11	No	No	No	4	UFA	Pro & Farm	455,000$	0$	0$	No	Link / NHL Link
Gerry Mayhew	C	33	1992-12-31	No	161 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Hunter Jones	G	26	2000-09-21	No	194 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Jack LaFontaine	G	28	1998-01-06	No	204 Lbs	6 ft2	No	No	No	4	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jake Bean	D	28	1998-06-09	No	191 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jeff Malott	LW	30	1996-08-07	No	215 Lbs	6 ft5	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Kale Clague	D	28	1998-06-05	No	190 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Lucas Johansen	D	28	1997-11-16	No	176 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Marcus Hogberg	G	31	1994-11-25	No	232 Lbs	6 ft5	No	No	No	4	UFA	Pro & Farm	875,000$	0$	0$	No	Link
Max Jones	LW	28	1998-02-17	No	216 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Nils Hoglander	LW/RW	25	2000-12-20	No	185 Lbs	5 ft9	No	No	No	3	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Philip Kemp	D	27	1999-02-12	No	202 Lbs	6 ft3	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Quentin Musty	LW	21	2005-07-06	Yes	200 Lbs	6 ft2	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Sammy Blais	LW/RW	30	1996-06-17	No	206 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Stefan Noesen	LW/RW	33	1993-02-12	No	205 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	909,000$	0$	0$	No	Link / NHL Link
Tom Willander	D	21	2005-02-09	Yes	180 Lbs	6 ft1	No	No	No	4	ELC	Pro & Farm	900,000$	0$	0$	No	Link
Ty Gallagher	D	23	2003-03-06	No	188 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Valtteri Puustinen	RW	27	1999-06-04	No	182 Lbs	5 ft10	No	No	No	4	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
28	26.93	195 Lbs	6 ft1	2.71	554,964$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nils Hoglander			40	1	2	2
2		Brad Lambert		30	1	2	2
3		Akil Thomas		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	Nils Hoglander			60	1	2	2
2		Brad Lambert		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		Nils Hoglander	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		Nils Hoglander	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
Nils Hoglander

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Nils Hoglander	Akil Thomas

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
Nils Hoglander, , , ,

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
5	3	L2	18	33	51	168	192	58	50	92	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	3	0	1	0	0	18	30

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	8

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	1	0	1	0	0	15	22

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	3	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
16	3	18.75%	24	7	70.83%	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
65	39	63	1	10	4	4	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
45	121	37.19%	64	146	43.84%	38	88	43.18%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
95	65	149	35	56	24

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
9 - 2026-10-17	18	Admirals	4	Wolves	1	L		BoxScore
16 - 2026-10-24	47	Wolves	5	Bears	6	L	X	BoxScore
17 - 2026-10-25	59	Wolves	9	Bears	7	W		BoxScore
22 - 2026-10-30	77	Wolves	1	Admirals	9	L		BoxScore
23 - 2026-10-31	91	Admirals	4	Wolves	2	L		BoxScore
26 - 2026-11-03	101	Wild	-	Wolves	-
30 - 2026-11-07	130	Wolves	-	IceHogs	-
37 - 2026-11-14	162	Wolves	-	Admirals	-
38 - 2026-11-15	174	Admirals	-	Wolves	-
43 - 2026-11-20	193	Wolves	-	Griffins	-
44 - 2026-11-21	211	Moose	-	Wolves	-
45 - 2026-11-22	218	IceHogs	-	Wolves	-
49 - 2026-11-26	228	Wolves	-	Moose	-
51 - 2026-11-28	241	Wolves	-	Moose	-
57 - 2026-12-04	275	Wolves	-	IceHogs	-
58 - 2026-12-05	288	Griffins	-	Wolves	-
59 - 2026-12-06	297	IceHogs	-	Wolves	-
64 - 2026-12-11	313	Wolves	-	Griffins	-
65 - 2026-12-12	327	Griffins	-	Wolves	-
66 - 2026-12-13	334	Griffins	-	Wolves	-
71 - 2026-12-18	358	Wolves	-	Stars	-
72 - 2026-12-19	369	Wolves	-	Stars	-
76 - 2026-12-23	386	Admirals	-	Wolves	-
78 - 2026-12-25	404	Wolves	-	Wild	-
79 - 2026-12-26	418	Wild	-	Wolves	-
85 - 2027-01-01	434	Wolves	-	Admirals	-
86 - 2027-01-02	448	Admirals	-	Wolves	-
91 - 2027-01-07	470	Wild	-	Wolves	-
93 - 2027-01-09	489	IceHogs	-	Wolves	-
94 - 2027-01-10	496	IceHogs	-	Wolves	-
100 - 2027-01-16	532	Wolves	-	Firebirds	-
101 - 2027-01-17	541	Wolves	-	Firebirds	-
104 - 2027-01-20	551	Wolves	-	Griffins	-
107 - 2027-01-23	573	Condors	-	Wolves	-
108 - 2027-01-24	582	Condors	-	Wolves	-
111 - 2027-01-27	593	Wolves	-	Monsters	-
112 - 2027-01-28	600	Wolves	-	Monsters	-
114 - 2027-01-30	622	Wolves	-	IceHogs	-
118 - 2027-02-03	641	Moose	-	Wolves	-
120 - 2027-02-05	654	Wolves	-	IceHogs	-
121 - 2027-02-06	669	Moose	-	Wolves	-
127 - 2027-02-12	686	Wolves	-	Condors	-
128 - 2027-02-13	704	Wolves	-	Condors	-
134 - 2027-02-19	727	Wolves	-	IceHogs	-
135 - 2027-02-20	736	Monsters	-	Wolves	-
136 - 2027-02-21	748	Monsters	-	Wolves	-
140 - 2027-02-25	767	Admirals	-	Wolves	-
142 - 2027-02-27	785	Wild	-	Wolves	-
143 - 2027-02-28	797	IceHogs	-	Wolves	-
146 - 2027-03-03	810	Wolves	-	Wild	-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2027-03-06	834	Wolves	-	Stars	-
150 - 2027-03-07	843	Wolves	-	Stars	-
155 - 2027-03-12	864	Wolves	-	Admirals	-
156 - 2027-03-13	878	Griffins	-	Wolves	-
157 - 2027-03-14	887	Stars	-	Wolves	-
161 - 2027-03-18	901	Moose	-	Wolves	-
163 - 2027-03-20	918	Bears	-	Wolves	-
164 - 2027-03-21	929	Bears	-	Wolves	-
169 - 2027-03-26	954	Stars	-	Wolves	-
171 - 2027-03-28	975	Stars	-	Wolves	-
173 - 2027-03-30	981	Wolves	-	IceHogs	-
174 - 2027-03-31	987	Wolves	-	Wild	-
177 - 2027-04-03	1011	Firebirds	-	Wolves	-
178 - 2027-04-04	1021	Firebirds	-	Wolves	-
181 - 2027-04-07	1031	Wolves	-	Griffins	-
184 - 2027-04-10	1049	Wolves	-	Moose	-
185 - 2027-04-11	1064	Wolves	-	Moose	-
191 - 2027-04-17	1097	Wolves	-	Admirals	-
192 - 2027-04-18	1109	Stars	-	Wolves	-
195 - 2027-04-21	1119	Wolves	-	Wild	-
197 - 2027-04-23	1131	Wolves	-	Admirals	-
198 - 2027-04-24	1146	IceHogs	-	Wolves	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	3,624	1,767
Attendance PCT	90.60%	88.35%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
34	2696 - 89.85%	67,472$	134,943$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
139,344$	155,390$	155,390$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	18,744$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,294,031$	175	5,806$	1,016,050$

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
12	82	12	66	0	0	4	0	0	156	424	-268	41	6	33	0	0	2	0	0	80	212	-132	41	6	33	0	0	2	0	0	76	212	-136	28	156	300	456	1	0	0	66	55	35	2153	0	721	723	704	3328	957	724	1576	394	36	9.14%	288	77	73.26%	1	769	2175	35.36%	870	2691	32.33%	423	1261	33.54%	1362	915	2655	610	907	376
13	76	1	70	0	2	3	0	0	127	409	-282	38	0	35	0	0	3	0	0	67	214	-147	38	1	35	0	2	0	0	0	60	195	-135	9	127	245	372	1	0	0	47	44	34	1736	0	575	575	582	3195	938	603	1263	345	26	7.54%	239	65	72.80%	2	565	1812	31.18%	751	2518	29.83%	369	1189	31.03%	1049	678	2684	584	834	315
13	76	54	17	0	0	1	2	2	284	159	125	38	26	9	0	0	1	0	2	140	79	61	38	28	8	0	0	0	2	0	144	80	64	115	284	494	778	0	11	0	90	95	97	2285	0	743	747	781	1672	502	910	1386	427	89	20.84%	397	53	86.65%	6	1551	2438	63.62%	1247	2173	57.39%	643	1095	58.72%	2042	1510	1675	508	862	444
14	76	2	73	0	1	0	0	0	80	462	-382	38	1	37	0	0	0	0	0	42	228	-186	38	1	36	0	1	0	0	0	38	234	-196	6	80	156	236	1	0	0	29	26	24	1497	0	490	522	481	3588	1015	699	1223	226	11	4.87%	290	77	73.45%	1	392	1643	23.86%	590	2746	21.49%	275	1169	23.52%	923	583	2850	558	789	281
14	76	48	17	0	2	4	1	4	257	144	113	38	24	6	0	2	3	1	2	128	68	60	38	24	11	0	0	1	0	2	129	76	53	110	257	478	735	0	7	0	104	70	80	2275	0	738	744	773	1592	516	857	1283	345	68	19.71%	358	35	90.22%	5	1471	2363	62.25%	1216	2029	59.93%	653	1096	59.58%	2168	1605	1540	507	894	477
14	76	2	73	0	1	0	0	0	80	462	-382	38	1	37	0	0	0	0	0	42	228	-186	38	1	36	0	1	0	0	0	38	234	-196	6	80	156	236	1	0	0	29	26	24	1497	0	490	522	481	3588	1015	699	1223	226	11	4.87%	290	77	73.45%	1	392	1643	23.86%	590	2746	21.49%	275	1169	23.52%	923	583	2850	558	789	281
14	76	48	17	0	2	4	1	4	257	144	113	38	24	6	0	2	3	1	2	128	68	60	38	24	11	0	0	1	0	2	129	76	53	110	257	478	735	0	7	0	104	70	80	2275	0	738	744	773	1592	516	857	1283	345	68	19.71%	358	35	90.22%	5	1471	2363	62.25%	1216	2029	59.93%	653	1096	59.58%	2168	1605	1540	507	894	477
14	76	2	73	0	1	0	0	0	80	462	-382	38	1	37	0	0	0	0	0	42	228	-186	38	1	36	0	1	0	0	0	38	234	-196	6	80	156	236	1	0	0	29	26	24	1497	0	490	522	481	3588	1015	699	1223	226	11	4.87%	290	77	73.45%	1	392	1643	23.86%	590	2746	21.49%	275	1169	23.52%	923	583	2850	558	789	281
14	76	48	17	0	2	4	1	4	257	144	113	38	24	6	0	2	3	1	2	128	68	60	38	24	11	0	0	1	0	2	129	76	53	110	257	478	735	0	7	0	104	70	80	2275	0	738	744	773	1592	516	857	1283	345	68	19.71%	358	35	90.22%	5	1471	2363	62.25%	1216	2029	59.93%	653	1096	59.58%	2168	1605	1540	507	894	477
15	82	37	30	0	5	3	5	2	236	188	48	41	21	13	0	2	0	4	1	129	91	38	41	16	17	0	3	3	1	1	107	97	10	99	236	420	656	1	13	0	102	60	64	2104	0	691	695	688	2132	603	1050	1511	418	68	16.27%	448	57	87.28%	6	1316	2442	53.89%	1247	2535	49.19%	590	1162	50.77%	2071	1472	1926	567	968	493
15	82	50	20	0	3	3	2	4	293	180	113	41	29	5	0	2	2	1	2	169	91	78	41	21	15	0	1	1	1	2	124	89	35	117	293	533	826	1	13	0	123	92	73	2568	0	851	819	871	2117	600	989	1460	416	81	19.47%	393	51	87.02%	2	1482	2565	57.78%	1376	2561	53.73%	642	1185	54.18%	2106	1537	1903	564	948	482
15	82	37	30	0	5	3	5	2	236	188	48	41	21	13	0	2	0	4	1	129	91	38	41	16	17	0	3	3	1	1	107	97	10	99	236	420	656	1	13	0	102	60	64	2104	0	691	695	688	2132	603	1050	1511	418	68	16.27%	448	57	87.28%	6	1316	2442	53.89%	1247	2535	49.19%	590	1162	50.77%	2071	1472	1926	567	968	493
15	82	50	20	0	3	3	2	4	293	180	113	41	29	5	0	2	2	1	2	169	91	78	41	21	15	0	1	1	1	2	124	89	35	117	293	533	826	1	13	0	123	92	73	2568	0	851	819	871	2117	600	989	1460	416	81	19.47%	393	51	87.02%	2	1482	2565	57.78%	1376	2561	53.73%	642	1185	54.18%	2106	1537	1903	564	948	482
16	82	46	22	0	3	2	5	4	269	142	127	41	25	12	0	1	0	0	3	132	64	68	41	21	10	0	2	2	5	1	137	78	59	114	269	462	731	1	16	0	111	81	69	2477	0	855	792	797	1854	502	952	1379	427	81	18.97%	391	47	87.98%	6	1609	2568	62.66%	1344	2271	59.18%	700	1115	62.78%	2330	1748	1716	535	929	490
16	82	51	21	0	3	2	3	2	243	129	114	41	29	9	0	0	1	2	0	130	63	67	41	22	12	0	3	1	1	2	113	66	47	118	243	406	649	0	19	0	79	86	72	2209	0	701	782	710	1825	551	888	1554	401	81	20.20%	373	43	88.47%	1	1199	2428	49.38%	1038	2367	43.85%	521	1060	49.15%	2178	1605	1843	536	932	488
17	72	54	13	0	1	2	2	0	298	114	184	36	27	6	0	1	0	2	0	157	55	102	36	27	7	0	0	2	0	0	141	59	82	116	298	546	844	0	15	0	125	101	69	2545	0	855	837	844	1374	418	753	1244	385	95	24.68%	315	29	90.79%	3	1661	2521	65.89%	1077	1769	60.88%	674	1035	65.12%	2190	1660	1333	438	815	449
17	72	42	22	0	4	1	2	1	308	179	129	36	23	10	0	2	0	1	0	169	88	81	36	19	12	0	2	1	1	1	139	91	48	98	308	477	785	0	9	0	128	99	75	2567	0	841	868	848	1971	571	773	1545	375	78	20.80%	336	53	84.23%	2	1036	2299	45.06%	903	2181	41.40%	517	1104	46.83%	1905	1439	1666	462	772	386
18	72	20	42	0	2	6	1	1	225	354	-129	36	12	20	0	0	3	0	1	118	177	-59	36	8	22	0	2	3	1	0	107	177	-70	53	225	420	645	1	0	0	82	77	63	2406	0	781	769	840	3105	940	622	1412	274	42	15.33%	266	66	75.19%	2	866	1941	44.62%	929	2305	40.30%	499	1202	41.51%	1454	1046	2107	485	788	352
19	70	10	52	0	6	2	0	0	211	389	-178	35	6	23	0	4	2	0	0	111	195	-84	35	4	29	0	2	0	0	0	100	194	-94	34	211	414	625	2	0	0	85	61	59	2446	0	838	780	808	3603	1044	616	1512	221	30	13.57%	251	69	72.51%	2	836	1904	43.91%	1052	2585	40.70%	510	1245	40.96%	1284	900	2171	478	758	327
20	72	55	10	0	3	2	0	2	325	101	224	36	29	2	0	2	2	0	1	159	42	117	36	26	8	0	1	0	0	1	166	59	107	120	325	610	935	0	15	0	142	106	74	2452	0	772	851	819	1336	348	693	1265	342	76	22.22%	294	35	88.10%	6	1536	2280	67.37%	989	1723	57.40%	716	1071	66.85%	2339	1815	1211	400	789	458
21	5	1	3	0	0	1	0	0	18	30	-12	2	0	2	0	0	0	0	0	3	8	-5	3	1	1	0	0	1	0	0	15	22	-7	3	18	33	51	0	0	10	4	4	0	168	65	39	63	1	192	58	50	92	16	3	18.75%	24	7	70.83%	0	45	121	37.19%	64	146	43.84%	38	88	43.18%	95	65	149	35	56	24
Total Regular Season	1545	670	708	0	49	50	32	36	4533	4984	-451	772	358	326	0	24	27	18	19	2372	2449	-77	773	312	382	0	25	23	14	17	2161	2535	-374	1588	4533	8215	12748	13	158	10	1808	1401	1233	44104	65	14489	14613	14614	47493	13828	16330	27688	6988	1172	16.77%	6800	1096	83.88%	65	22858	44519	51.34%	20928	47246	44.30%	10858	22954	47.30%	35866	25975	40049	10537	17331	8344
Playoff
13	19	12	7	0	0	0	0	0	58	45	13	10	7	3	0	0	0	0	0	35	21	14	9	5	4	0	0	0	0	0	23	24	-1	24	58	96	154	0	1	0	25	17	15	504	0	173	154	164	442	130	327	335	137	18	13.14%	124	18	85.48%	0	341	606	56.27%	295	561	52.58%	153	278	55.04%	471	338	478	142	221	105
14	20	11	9	0	0	0	0	0	40	32	8	11	7	4	0	0	0	0	0	22	14	8	9	4	5	0	0	0	0	0	18	18	0	22	40	74	114	1	2	0	17	5	16	494	0	150	136	188	384	111	224	339	116	14	12.07%	91	10	89.01%	1	308	632	48.73%	308	571	53.94%	129	254	50.79%	529	376	459	150	251	130
15	4	0	4	0	0	0	0	0	6	19	-13	2	0	2	0	0	0	0	0	2	10	-8	2	0	2	0	0	0	0	0	4	9	-5	0	6	12	18	0	0	0	3	0	3	68	0	29	20	19	120	31	63	95	22	1	4.55%	26	7	73.08%	0	39	99	39.39%	34	125	27.20%	18	64	28.13%	86	58	105	29	47	22
15	14	9	5	0	0	0	0	0	38	24	14	8	6	2	0	0	0	0	0	21	13	8	6	3	3	0	0	0	0	0	17	11	6	18	38	68	106	1	3	0	19	9	10	350	0	117	117	116	263	73	151	232	87	17	19.54%	64	6	90.63%	0	261	433	60.28%	215	383	56.14%	114	188	60.64%	352	245	322	105	171	88
16	19	11	8	0	0	0	0	0	37	37	0	10	5	5	0	0	0	0	0	18	19	-1	9	6	3	0	0	0	0	0	19	18	1	22	37	68	105	0	4	0	19	7	8	484	0	134	133	159	402	114	249	348	142	11	7.75%	103	14	86.41%	0	328	668	49.10%	261	574	45.47%	143	266	53.76%	521	358	485	157	264	138
16	6	2	4	0	0	0	0	0	11	14	-3	3	2	1	0	0	0	0	0	8	7	1	3	0	3	0	0	0	0	0	3	7	-4	4	11	15	26	0	0	0	2	3	6	147	0	44	39	49	149	48	57	112	39	8	20.51%	24	6	75.00%	0	79	206	38.35%	61	198	30.81%	35	90	38.89%	148	102	173	51	81	39
17	12	7	5	0	0	0	0	0	49	28	21	7	5	2	0	0	0	0	0	30	12	18	5	2	3	0	0	0	0	0	19	16	3	14	49	84	133	0	1	0	11	13	23	493	0	131	147	176	258	78	132	204	100	20	20.00%	59	14	76.27%	0	312	521	59.88%	198	337	58.75%	125	199	62.81%	365	271	270	87	144	77
17	5	1	4	0	0	0	0	0	15	22	-7	2	0	2	0	0	0	0	0	6	9	-3	3	1	2	0	0	0	0	0	9	13	-4	2	15	19	34	0	0	0	10	2	3	137	0	43	33	54	194	47	56	86	38	5	13.16%	27	5	81.48%	0	57	169	33.73%	50	188	26.60%	19	78	24.36%	116	83	152	39	57	26
18	4	0	4	0	0	0	0	0	1	29	-28	2	0	2	0	0	0	0	0	0	13	-13	2	0	2	0	0	0	0	0	1	16	-15	0	1	2	3	0	0	0	1	0	0	62	0	23	17	22	198	42	32	75	17	1	5.88%	15	6	60.00%	0	17	77	22.08%	28	151	18.54%	15	67	22.39%	47	29	150	29	41	15
Total Playoff	103	53	50	0	0	0	0	0	255	250	5	55	32	23	0	0	0	0	0	142	118	24	48	21	27	0	0	0	0	0	113	132	-19	106	255	438	693	2	11	0	107	56	84	2739	0	844	796	947	2410	674	1291	1826	698	95	13.61%	533	86	83.86%	1	1742	3411	51.07%	1450	3088	46.96%	751	1484	50.61%	2639	1865	2599	792	1282	642