LHSDB - Ligue de hockey simulee des debiles barbus

Detroit Red Wings
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	Carson Meyer	0		X	X		100.00	71	39	73	64	70	84	78	63	56	62	61	60	63	68	70	42	50	63	0
2	Axel Jonsson-Fjallby	0		X			100.00	70	37	93	64	75	79	85	62	58	60	59	61	63	67	69	52	50	63	0
3	Marc McLaughlin	0	X		X		100.00	70	38	88	62	75	74	85	58	65	59	63	57	62	66	68	43	50	62	0
4	Alex Jefferies	0		X	X		100.00	64	37	92	59	73	86	73	57	62	58	59	56	61	64	66	57	50	60	0
5	Riley Sutter	0	X				100.00	79	42	77	58	88	69	83	56	57	54	55	59	53	66	68	60	50	60	0
6	Elliot Desnoyers	0	X	X	X		100.00	60	38	87	59	69	78	83	58	55	57	54	56	58	63	65	56	50	59	0
7	Blake McLaughlin	0		X			100.00	55	36	89	59	64	68	67	57	60	58	53	54	56	65	67	62	50	57	0
8	Jeremie Poirier	0				X	100.00	68	41	72	60	76	75	77	59	30	65	55	58	48	63	65	67	50	62	0
9	Luke Prokop	0				X	100.00	88	51	92	54	97	65	66	53	30	55	51	59	45	63	65	67	50	62	0
10	Cole McWard	0				X	100.00	63	37	92	58	76	74	83	56	30	57	55	59	48	64	66	43	50	61	0
11	Josh Jacobs	0				X	100.00	71	40	83	57	80	65	64	55	30	54	53	56	45	69	71	60	50	59	0
12	Xavier Bernard	0				X	100.00	75	42	75	54	84	63	64	53	30	52	50	56	45	65	67	58	50	59	0
13	Joey Keane	0				X	100.00	63	39	81	55	72	68	66	54	30	57	53	56	47	66	68	60	50	58	0
Scratches
1	Dylan Duke	0	X	X			100.00	69	37	78	63	66	75	72	59	55	57	61	58	63	62	64	59	50	60	0
2	Reece Newkirk	0	X				100.00	61	39	79	55	70	66	67	54	62	56	53	57	54	64	66	54	50	57	0
3	Jett Woo	0				X	100.00	66	43	64	56	75	73	84	55	30	59	53	57	46	65	67	73	50	60	0

	TEAM AVERAGE					100.00	68	40	82	59	76	73	75	57	46	58	56	57	54	65	67	57	50	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
Scratches

	TEAM AVERAGE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
D.J. Smith	72	76	76	70	72	67	78	CAN	48	5	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	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Marc McLaughlin	Griffins (Det)	C/RW	20	16	14	30	10	10	0	24	42	86	23	56	18.60%	4	397	19.87	1	4	5	14	59	0	0	0	0	17	1	0	67.19%	384	1	1.51	1	1	0	0	3	2	2
2	Carson Meyer	Griffins (Det)	LW/RW	20	10	19	29	2	26	0	48	53	119	29	111	8.40%	5	490	24.54	3	4	7	29	76	0	0	0	2	55	4	0	60.98%	123	0	1.18	0	1	0	0	3	2	0
3	Alex Jefferies	Griffins (Det)	LW/RW	20	9	12	21	8	4	0	18	25	84	30	56	10.71%	2	387	19.35	2	2	4	21	59	0	0	0	0	0	0	0	81.48%	27	1	1.09	1	1	0	0	0	2	3
4	Riley Sutter	Griffins (Det)	C	20	6	15	21	7	10	0	47	32	68	22	58	8.82%	4	415	20.77	0	0	0	4	8	0	0	0	1	13	0	0	64.92%	325	0	1.01	0	0	0	0	2	0	2
5	Cole McWard	Griffins (Det)	D	20	5	10	15	6	6	0	14	14	54	21	33	9.26%	32	482	24.11	1	1	2	26	60	1	0	1	2	42	0	0	34.78%	23	0	0.62	0	0	0	0	2	0	0
6	Luke Prokop	Griffins (Det)	D	20	6	9	15	-3	24	0	42	16	54	11	26	11.11%	39	460	23.04	4	3	7	36	72	0	0	0	0	51	1	0	0.00%	1	0	0.65	0	0	0	0	0	0	1
7	Elliot Desnoyers	Griffins (Det)	C/LW/RW	20	6	8	14	-4	6	0	8	26	61	17	53	9.84%	5	392	19.64	0	0	0	0	7	0	0	0	0	5	1	0	54.90%	51	0	0.71	0	0	0	0	0	0	2
8	Josh Jacobs	Griffins (Det)	D	20	0	12	12	2	14	0	19	8	17	11	14	0.00%	22	371	18.55	0	0	0	9	9	0	0	0	0	4	0	0	0.00%	1	0	0.65	0	0	0	0	0	0	0
9	Blake McLaughlin	Griffins (Det)	LW	20	6	4	10	2	0	0	9	19	45	9	40	13.33%	3	391	19.57	0	0	0	0	0	0	0	0	0	0	1	1	68.75%	16	0	0.51	0	0	0	0	1	2	0
10	Joey Keane	Griffins (Det)	D	20	1	8	9	0	18	10	9	12	17	1	18	5.88%	19	285	14.27	0	1	1	1	3	0	1	1	2	18	1	0	44.44%	9	0	0.63	0	0	1	0	0	0	2
11	Xavier Bernard	Griffins (Det)	D	20	3	6	9	5	32	10	36	5	15	4	8	20.00%	25	364	18.24	0	0	0	0	0	0	0	0	0	19	0	0	100.00%	1	0	0.49	0	0	1	1	1	0	0
12	Jett Woo	Griffins (Det)	D	8	1	5	6	4	14	0	23	2	11	3	7	9.09%	1	148	18.56	1	1	2	5	29	0	0	0	0	22	0	0	0.00%	0	0	0.81	0	0	0	0	0	1	0
13	Dylan Duke	Griffins (Det)	C/LW	6	3	2	5	-1	6	0	6	14	15	2	8	20.00%	0	88	14.77	0	2	2	2	19	0	0	0	0	5	0	1	0.00%	4	0	1.13	0	0	0	0	0	0	0
14	Reece Newkirk	Griffins (Det)	C	12	3	2	5	6	6	0	7	17	21	4	12	14.29%	2	193	16.15	0	0	0	0	0	0	0	0	1	27	0	0	60.12%	173	0	0.52	0	0	0	0	0	1	0
15	Brandon Coe	Detroit Red Wings	LW/RW	4	0	2	2	5	2	0	7	8	7	2	1	0.00%	0	86	21.68	0	0	0	1	6	0	0	0	0	0	0	0	70.83%	48	0	0.46	0	0	0	0	0	0	0
16	Jeremie Poirier	Griffins (Det)	D	2	1	0	1	3	0	0	1	3	6	1	1	16.67%	0	42	21.47	0	0	0	1	5	0	0	0	0	7	0	0	0.00%	0	0	0.47	0	0	0	0	0	0	0
Team Total or Average				252	76	128	204	52	178	20	318	296	680	190	502	11.18%	163	4999	19.84	12	18	30	149	419	1	1	2	8	291	9	2	63.74%	1186	2	0.82	2	3	2	1	12	10	12

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
Alex Jefferies	LW/RW	24	2001-11-08	No	195 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Axel Jonsson-Fjallby	LW	27	1998-02-10	No	189 Lbs	6 ft1	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Blake McLaughlin	LW	25	2000-02-14	No	160 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Carson Meyer	LW/RW	28	1997-08-18	No	184 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cole McWard	D	24	2001-06-09	No	192 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Dylan Duke	C/LW	22	2003-03-04	No	177 Lbs	5 ft10	No	No	No	4	ELC	Pro & Farm	500,000$	0$	0$	No	Link
Elliot Desnoyers	C/LW/RW	23	2002-01-21	No	183 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jeremie Poirier	D	23	2002-06-02	No	196 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jett Woo	D	25	2000-07-27	No	205 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Joey Keane	D	26	1999-07-02	No	187 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Josh Jacobs	D	29	1996-02-15	No	200 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link
Luke Prokop	D	23	2002-06-05	No	224 Lbs	6 ft6	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link
Marc McLaughlin	C/RW	26	1999-07-26	No	202 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Reece Newkirk	C	24	2001-02-20	No	178 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Riley Sutter	C	26	1999-10-25	No	210 Lbs	6 ft4	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Xavier Bernard	D	25	2000-06-01	No	205 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
16	25.00	193 Lbs	6 ft1	2.44	350,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Carson Meyer	40	1	2	2
2	Alex Jefferies	Marc McLaughlin		30	1	2	2
3	Elliot Desnoyers	Riley Sutter	Blake McLaughlin	20	1	2	2
4	Blake McLaughlin		Carson Meyer	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Luke Prokop		40	1	2	2
2	Cole McWard		30	1	2	2
3	Josh Jacobs	Xavier Bernard	20	1	2	2
4	Joey Keane	Luke Prokop	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Carson Meyer	60	1	2	2
2	Alex Jefferies	Marc McLaughlin		40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Luke Prokop		60	1	2	2
2	Cole McWard		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Carson Meyer		60	1	2	2
2	Marc McLaughlin		40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Luke Prokop		60	1	2	2
2	Cole McWard		40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Carson Meyer	60	1	2	2	Luke Prokop		60	1	2	2
2		40	1	2	2	Cole McWard		40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Carson Meyer		60	1	2	2
2	Marc McLaughlin		40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Luke Prokop		60	1	2	2
2	Cole McWard		40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Carson Meyer	Luke Prokop

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Carson Meyer	Luke Prokop

Extra Forwards
Normal	PowerPlay	Penalty Kill
Riley Sutter, Elliot Desnoyers,	Riley Sutter, Elliot Desnoyers

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Josh Jacobs, Xavier Bernard, Joey Keane	Josh Jacobs	Xavier Bernard, Joey Keane

Penalty Shots
Carson Meyer, , Marc McLaughlin, , Alex Jefferies

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
20	21	W1	77	130	207	695	541	165	180	321	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
20	8	9	1	1	1	0	77	68

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	5	3	1	1	0	0	44	28

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	3	6	0	0	1	0	33	40

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	4	0	1	1	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
86	12	13.95%	76	13	82.89%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
206	249	237	6	32	27	16	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
419	641	65.37%	267	494	54.05%	182	308	59.09%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
570	429	410	121	228	122

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	Link
8 - 2025-08-22	2	Admirals	3	Griffins	2	L			BoxScore
9 - 2025-08-23	19	Griffins	7	IceHogs	2	W			BoxScore
15 - 2025-08-29	35	Moose	1	Griffins	6	W			BoxScore
16 - 2025-08-30	50	Moose	3	Griffins	4	W			BoxScore
22 - 2025-09-05	76	Griffins	3	Thunderbirds	5	L			BoxScore
23 - 2025-09-06	89	Griffins	2	Phantoms	5	L			BoxScore
24 - 2025-09-07	98	Griffins	2	Phantoms	4	L			BoxScore
27 - 2025-09-10	104	Griffins	0	Wolfpack	3	L			BoxScore
29 - 2025-09-12	115	IceHogs	4	Griffins	5	W	X		BoxScore
31 - 2025-09-14	137	Griffins	7	Monsters	4	W			BoxScore
35 - 2025-09-18	148	Griffins	6	Wild	3	W			BoxScore
36 - 2025-09-19	154	Griffins	5	IceHogs	4	W	X	X	BoxScore
41 - 2025-09-24	182	IceHogs	2	Griffins	9	W			BoxScore
43 - 2025-09-26	193	Wolves	4	Griffins	1	L			BoxScore
44 - 2025-09-27	206	Griffins	1	Admirals	4	L			BoxScore
50 - 2025-10-03	231	Wild	3	Griffins	2	L	X		BoxScore
52 - 2025-10-05	257	Wild	2	Griffins	8	W			BoxScore
57 - 2025-10-10	270	Admirals	5	Griffins	3	L			BoxScore
58 - 2025-10-11	288	Griffins	0	Wolves	6	L			BoxScore
59 - 2025-10-12	296	Monsters	1	Griffins	4	W			BoxScore
64 - 2025-10-17	313	Wolves	-	Griffins	-
65 - 2025-10-18	327	Griffins	-	Wolves	-
66 - 2025-10-19	334	Griffins	-	Wolves	-
71 - 2025-10-24	360	Griffins	-	Eagles	-
72 - 2025-10-25	373	Griffins	-	Eagles	-
75 - 2025-10-28	384	Griffins	-	Stars	-
76 - 2025-10-29	392	Griffins	-	Stars	-
78 - 2025-10-31	400	Admirals	-	Griffins	-
80 - 2025-11-02	426	Stars	-	Griffins	-
86 - 2025-11-08	442	Griffins	-	Monsters	-
89 - 2025-11-11	461	Monsters	-	Griffins	-
91 - 2025-11-13	469	Griffins	-	Monsters	-
93 - 2025-11-15	488	Griffins	-	Admirals	-
99 - 2025-11-21	513	Moose	-	Griffins	-
100 - 2025-11-22	528	Moose	-	Griffins	-
104 - 2025-11-26	551	Wolves	-	Griffins	-
106 - 2025-11-28	561	Monsters	-	Griffins	-
107 - 2025-11-29	569	Monsters	-	Griffins	-
112 - 2025-12-04	601	Griffins	-	Moose	-
114 - 2025-12-06	612	Griffins	-	Moose	-
118 - 2025-12-10	637	IceHogs	-	Griffins	-
120 - 2025-12-12	651	Eagles	-	Griffins	-
121 - 2025-12-13	667	Eagles	-	Griffins	-
127 - 2025-12-19	683	Griffins	-	Admirals	-
128 - 2025-12-20	697	Griffins	-	Admirals	-
132 - 2025-12-24	715	Thunderbirds	-	Griffins	-
134 - 2025-12-26	728	Griffins	-	Wild	-
135 - 2025-12-27	734	Griffins	-	Wild	-
139 - 2025-12-31	760	Phantoms	-	Griffins	-
141 - 2026-01-02	771	Phantoms	-	Griffins	-
143 - 2026-01-04	798	Wild	-	Griffins	-
145 - 2026-01-06	804	Griffins	-	Stars	-
146 - 2026-01-07	809	Griffins	-	Stars	-
149 - 2026-01-10	831	Wild	-	Griffins	-
152 - 2026-01-13	845	Griffins	-	Moose	-
153 - 2026-01-14	854	Griffins	-	Moose	-
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2026-01-17	878	Griffins	-	Wolves	-
160 - 2026-01-21	895	Wolfpack	-	Griffins	-
162 - 2026-01-23	905	Admirals	-	Griffins	-
163 - 2026-01-24	919	Griffins	-	IceHogs	-
169 - 2026-01-30	948	IceHogs	-	Griffins	-
170 - 2026-01-31	968	IceHogs	-	Griffins	-
174 - 2026-02-04	985	Stars	-	Griffins	-
181 - 2026-02-11	1031	Wolves	-	Griffins	-
183 - 2026-02-13	1043	IceHogs	-	Griffins	-
184 - 2026-02-14	1058	Griffins	-	IceHogs	-
188 - 2026-02-18	1073	Griffins	-	Monsters	-
190 - 2026-02-20	1081	Stars	-	Griffins	-
191 - 2026-02-21	1098	Stars	-	Griffins	-
195 - 2026-02-25	1118	Griffins	-	IceHogs	-
197 - 2026-02-27	1132	Griffins	-	IceHogs	-
198 - 2026-02-28	1143	Griffins	-	Wild	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	19,110	9,488
Attendance PCT	95.55%	94.88%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
26	2860 - 95.33%	71,383$	713,831$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
321,935$	56,000$	56,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	16,935$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,855,961$	139	5,280$	733,920$

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	21	50	0	6	3	0	2	241	318	-77	41	12	24	0	3	1	0	1	130	155	-25	41	9	26	0	3	2	0	1	111	163	-52	59	241	412	653	1	1	0	108	75	52	2397	0	796	808	780	2511	759	954	1701	456	90	19.74%	397	70	82.37%	2	1319	2466	53.49%	1182	2254	52.44%	645	1262	51.11%	1907	1352	2096	577	942	452
13	76	20	46	0	4	2	0	4	177	274	-97	38	8	26	0	3	1	0	0	86	143	-57	38	12	20	0	1	1	0	4	91	131	-40	54	177	305	482	1	2	0	60	61	52	1873	0	654	625	576	1943	607	893	1354	422	62	14.69%	359	82	77.16%	2	1244	2207	56.37%	959	1948	49.23%	630	1157	54.45%	1796	1263	1897	535	901	443
14	76	14	55	0	3	1	1	2	154	299	-145	38	8	25	0	2	0	1	2	90	155	-65	38	6	30	0	1	1	0	0	64	144	-80	39	154	268	422	0	0	0	55	56	39	1673	0	554	567	539	2178	610	591	1138	324	46	14.20%	245	56	77.14%	1	1078	2094	51.48%	921	1923	47.89%	597	1145	52.14%	1803	1278	1887	523	895	443
14	76	14	55	0	3	1	1	2	154	299	-145	38	8	25	0	2	0	1	2	90	155	-65	38	6	30	0	1	1	0	0	64	144	-80	39	154	268	422	0	0	0	55	56	39	1673	0	554	567	539	2178	610	591	1138	324	46	14.20%	245	56	77.14%	1	1078	2094	51.48%	921	1923	47.89%	597	1145	52.14%	1803	1278	1887	523	895	443
14	76	14	55	0	3	1	1	2	154	299	-145	38	8	25	0	2	0	1	2	90	155	-65	38	6	30	0	1	1	0	0	64	144	-80	39	154	268	422	0	0	0	55	56	39	1673	0	554	567	539	2178	610	591	1138	324	46	14.20%	245	56	77.14%	1	1078	2094	51.48%	921	1923	47.89%	597	1145	52.14%	1803	1278	1887	523	895	443
15	82	38	31	0	7	4	2	0	252	194	58	41	23	15	0	1	2	0	0	129	92	37	41	15	16	0	6	2	2	0	123	102	21	98	252	449	701	2	7	0	100	82	61	2280	0	738	728	796	1908	590	948	1409	420	59	14.05%	378	47	87.57%	1	1511	2520	59.96%	1303	2237	58.25%	684	1163	58.81%	2193	1586	1787	564	975	510
15	82	38	31	0	7	4	2	0	252	194	58	41	23	15	0	1	2	0	0	129	92	37	41	15	16	0	6	2	2	0	123	102	21	98	252	449	701	2	7	0	100	82	61	2280	0	738	728	796	1908	590	948	1409	420	59	14.05%	378	47	87.57%	1	1511	2520	59.96%	1303	2237	58.25%	684	1163	58.81%	2193	1586	1787	564	975	510
16	82	50	20	0	0	5	3	4	302	172	130	41	25	10	0	0	2	2	2	159	78	81	41	25	10	0	0	3	1	2	143	94	49	115	302	551	853	1	14	0	143	94	62	2566	0	911	844	797	1740	521	1041	1560	437	75	17.16%	436	56	87.16%	6	1596	2636	60.55%	1373	2329	58.95%	725	1221	59.38%	2279	1680	1725	546	958	507
17	72	42	18	0	4	5	2	1	275	141	134	36	20	10	0	2	2	1	1	136	73	63	36	22	8	0	2	3	1	0	139	68	71	102	275	501	776	0	12	0	112	84	73	2312	0	768	724	806	1692	505	948	1394	364	65	17.86%	395	58	85.32%	8	1421	2289	62.08%	1121	2076	54.00%	643	1046	61.47%	2038	1514	1494	463	817	435
18	72	68	2	0	1	0	1	0	425	116	309	36	34	1	0	0	0	1	0	209	56	153	36	34	1	0	1	0	0	0	216	60	156	140	425	767	1192	0	12	0	170	158	95	3032	0	969	1072	988	1483	396	713	1390	348	95	27.30%	323	35	89.16%	10	1701	2375	71.62%	1268	1803	70.33%	771	1145	67.34%	2395	1872	1153	390	778	455
19	70	50	16	0	1	1	2	0	355	167	188	36	28	7	0	0	0	1	0	198	75	123	34	22	9	0	1	1	1	0	157	92	65	107	355	628	983	1	4	0	153	102	97	2926	0	968	962	994	1777	485	774	1473	336	81	24.11%	315	44	86.03%	8	1566	2446	64.02%	1061	1867	56.83%	713	1121	63.60%	2180	1691	1278	391	751	421
20	20	8	9	0	1	1	1	0	77	68	9	10	5	3	0	1	1	0	0	44	28	16	10	3	6	0	0	0	1	0	33	40	-7	21	77	130	207	1	0	32	27	16	3	695	206	249	237	6	541	165	180	321	86	12	13.95%	76	13	82.89%	1	419	641	65.37%	267	494	54.05%	182	308	59.09%	570	429	410	121	228	122
Total Regular Season	866	377	388	0	40	28	16	17	2818	2541	277	434	202	186	0	17	11	8	10	1490	1257	233	432	175	202	0	23	17	8	7	1328	1284	44	911	2818	4996	7814	9	59	32	1138	922	673	25380	206	8453	8429	8156	22037	6448	9172	15425	4261	736	17.27%	3792	620	83.65%	42	15522	26382	58.84%	12600	23014	54.75%	7468	13021	57.35%	22964	16811	19294	5726	10015	5192
Playoff
16	6	2	4	0	0	0	0	0	11	17	-6	3	1	2	0	0	0	0	0	5	8	-3	3	1	2	0	0	0	0	0	6	9	-3	4	11	16	27	0	0	0	5	3	2	131	0	33	48	39	171	54	82	117	26	2	7.69%	38	5	86.84%	0	55	178	30.90%	59	225	26.22%	23	83	27.71%	135	90	173	47	73	33
17	17	9	8	0	0	0	0	0	43	50	-7	7	4	3	0	0	0	0	0	18	17	1	10	5	5	0	0	0	0	0	25	33	-8	18	43	77	120	2	0	0	17	10	13	460	0	156	143	131	511	131	295	320	99	20	20.20%	127	17	86.61%	0	341	602	56.64%	343	634	54.10%	146	260	56.15%	430	297	453	132	210	103
18	21	13	8	0	0	0	0	0	69	37	32	11	5	6	0	0	0	0	0	33	22	11	10	8	2	0	0	0	0	0	36	15	21	26	69	125	194	0	6	0	21	20	27	645	0	174	235	228	463	136	268	347	126	22	17.46%	115	9	92.17%	3	450	714	63.03%	354	609	58.13%	192	316	60.76%	585	427	445	140	243	129
19	4	0	4	0	0	0	0	0	7	23	-16	2	0	2	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	2	12	-10	0	7	11	18	0	0	0	4	2	1	80	0	31	24	25	156	39	42	83	19	4	21.05%	20	5	75.00%	0	27	97	27.84%	35	142	24.65%	14	70	20.00%	75	52	120	28	43	18
Total Playoff	48	24	24	0	0	0	0	0	130	127	3	23	10	13	0	0	0	0	0	61	58	3	25	14	11	0	0	0	0	0	69	69	0	48	130	229	359	2	6	0	47	35	43	1316	0	394	450	423	1301	360	687	867	270	48	17.78%	300	36	88.00%	3	873	1591	54.87%	791	1610	49.13%	375	729	51.44%	1227	867	1193	349	571	284