LHSDB - Ligue de hockey simulee des debiles barbus

Toronto Leafs
Roster
Scoring
Informations
Lines
Stats
Schedule
Finance
Records

Show or Hide Column

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Charles Hudon	X	X	X		100.00	59	39	77	68	70	94	93	66	72	65	67	63	71	69	70	59	50	66	0
2	Jayson Megna	X		X		100.00	72	37	83	64	76	82	79	63	74	66	62	64	63	72	74	27	50	65	0
3	Richard Panik		X	X		100.00	73	39	84	67	81	80	75	66	58	65	62	61	68	74	73	56	50	65	0
4	Joseph Cramarossa	X				100.00	80	39	69	64	75	76	74	63	71	65	58	62	64	70	72	53	50	63	0
5	Sean Malone	X				100.00	63	34	70	66	74	78	71	65	75	64	63	59	65	67	69	47	50	63	0
6	Danny O'Regan	X	X			100.00	58	35	94	65	68	78	82	62	73	64	61	63	65	69	70	47	50	63	0
7	Stefan Matteau	X				100.00	78	44	79	59	82	78	66	57	71	60	58	64	56	68	70	66	50	62	0
8	Pierre-Cedric Labrie		X			100.00	80	43	72	53	89	69	84	54	57	55	56	59	55	76	78	21	50	60	0
9	Tyrell Goulbourne		X			100.00	64	38	71	54	73	66	63	52	57	53	51	56	52	68	70	54	50	56	0
10	Dean Kukan				X	100.00	66	36	89	65	78	86	81	62	30	71	59	63	52	69	71	36	50	66	0
11	Cameron Schilling				X	100.00	72	45	70	59	81	73	67	58	30	66	56	62	48	74	76	23	50	63	0
12	Seth Helgeson				X	100.00	81	45	64	53	90	63	89	52	30	54	53	58	45	72	77	37	50	62	0
13	Ashton Sautner				X	100.00	67	39	75	59	76	67	69	58	30	57	54	56	45	68	70	36	50	60	0
14	Keaton Thompson				X	100.00	62	41	69	56	71	66	68	55	30	54	53	56	45	67	69	54	50	58	0
Scratches

	TEAM AVERAGE					100.00	70	40	76	61	77	75	76	60	54	61	58	60	57	70	72	44	50	62

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	Malcolm Subban	100.00	74	77	75	83	73	72	74	73	72	74	73	70	83	66	50	73	0
2	Troy Grosenick	100.00	75	73	72	76	74	73	75	74	73	75	74	73	87	46	50	73	0
Scratches

	TEAM AVERAGE	100.00	75	75	74	80	74	73	75	74	73	75	74	72	85	56	50	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Dan Bylsma	64	61	65	70	75	70	75	USA	52	1	100,000$

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	FO%	FOT	P/20	PSS	S1	S2	S3
1	Ashton Sautner	Marlies (Tor)	D	72	7	9	16	-41	86	149	63	51	15	28	13.73%	76	657	9.13	0.00%	0	0.49	0	8	3	4
2	Joseph Cramarossa	Marlies (Tor)	C	72	0	0	0	0	0	0	0	3	0	0	0.00%	0	5	0.08	66.67%	9	0.00	1	0	10	2
3	Tyrell Goulbourne	Marlies (Tor)	LW	72	0	0	0	0	0	0	0	0	0	4	0.00%	0	5	0.08	100.00%	2	0.00	1	3	0	7
Team Total or Average				216	7	9	16	-41	86	149	63	54	15	32	12.96%	76	669	3.10	72.73%	11	0.48	2	11	13	13

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
1	Troy Grosenick	Marlies (Tor)	2	0	2	0	0.913	4.00	120	2	0	8	92	0	0	0	0.000	0	2	0	1	0	0
Team Total or Average			2	0	2	0	0.913	4.00	120	2	0	8	92	0	0	0	0.000	0	2	0	1	0	0

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
Ashton Sautner	D	28	1994-05-27	No	195 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cameron Schilling	D	34	1988-10-07	No	190 Lbs	6 ft3	No	No	No	4	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Charles Hudon	C/LW/RW	28	1994-06-23	No	190 Lbs	5 ft10	No	No	No	4	UFA	Pro & Farm	785,662$	0$	0$	No	Link / NHL Link
Danny O'Regan	C/LW	29	1994-01-30	No	180 Lbs	5 ft10	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Dean Kukan	D	29	1993-07-08	No	190 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Jayson Megna	C/RW	33	1990-02-01	No	195 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Joseph Cramarossa	C	30	1992-10-26	No	190 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Keaton Thompson	D	27	1995-09-14	No	182 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Malcolm Subban	G	29	1993-12-21	No	215 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Pierre-Cedric Labrie	LW	36	1986-12-06	No	226 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link
Richard Panik	LW/RW	32	1991-02-07	No	203 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Sean Malone	C	27	1995-04-30	No	197 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Seth Helgeson	D	32	1990-10-08	No	219 Lbs	6 ft4	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Stefan Matteau	C	29	1994-02-23	No	208 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Troy Grosenick	G	33	1989-08-27	No	185 Lbs	6 ft1	No	No	No	1	UFA	Pro & Farm	1,000,000$	0$	0$	No	Link / NHL Link
Tyrell Goulbourne	LW	29	1994-01-26	No	203 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
16	30.31	198 Lbs	6 ft1	1.88	474,104$

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		Ashton Sautner	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
Joseph Cramarossa, , Tyrell Goulbourne	Joseph Cramarossa,	Tyrell Goulbourne

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, Ashton Sautner,		Ashton Sautner,

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
72	19	L2	141	273	414	1880	3287	919	588	1326	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
72	7	62	2	0	0	1	141	423

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	5	29	1	0	0	1	75	210

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	2	33	1	0	0	0	66	213

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	8	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
255	34	13.33%	256	73	71.48%	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
682	558	630	13	57	45	37	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
574	1753	32.74%	743	2503	29.68%	360	1169	30.80%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1108	742	2454	518	768	307

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
1 - 2022-09-28	1	Marlies	1	Stars	5	L			BoxScore
3 - 2022-09-30	20	Marlies	1	Barracuda	3	L			BoxScore
4 - 2022-10-01	29	Comets	8	Marlies	0	L			BoxScore
8 - 2022-10-05	56	Sound Tigers	4	Marlies	1	L			BoxScore
12 - 2022-10-09	80	IceHogs	3	Marlies	6	W			BoxScore
15 - 2022-10-12	100	Americans	5	Marlies	1	L			BoxScore
17 - 2022-10-14	116	Marlies	1	Bruins	8	L			BoxScore
18 - 2022-10-15	128	Marlies	3	Checkers	7	L			BoxScore
20 - 2022-10-17	142	Marlies	2	Stars	6	L			BoxScore
21 - 2022-10-18	154	Phantoms	6	Marlies	2	L			BoxScore
24 - 2022-10-21	175	Rocket	5	Marlies	2	L			BoxScore
27 - 2022-10-24	193	Roadrunners	5	Marlies	6	W			BoxScore
29 - 2022-10-26	212	Marlies	0	Comets	8	L			BoxScore
31 - 2022-10-28	225	Comets	6	Marlies	4	L			BoxScore
33 - 2022-10-30	236	Marlies	1	Thunderbirds	8	L			BoxScore
35 - 2022-11-01	256	Americans	9	Marlies	2	L			BoxScore
38 - 2022-11-04	274	Marlies	1	Wolf Pack	8	L			BoxScore
40 - 2022-11-06	289	Marlies	3	Roadrunners	4	L			BoxScore
42 - 2022-11-08	301	Devils	4	Marlies	1	L			BoxScore
44 - 2022-11-10	319	Marlies	0	Wranglers	8	L			BoxScore
45 - 2022-11-11	329	Marlies	2	Penguins	7	L			BoxScore
47 - 2022-11-13	343	Crunch	11	Marlies	2	L			BoxScore
50 - 2022-11-16	365	Rampage	8	Marlies	1	L			BoxScore
52 - 2022-11-18	379	Marlies	2	Devils	8	L			BoxScore
54 - 2022-11-20	394	Wolf Pack	7	Marlies	1	L			BoxScore
56 - 2022-11-22	410	Marlies	0	Americans	3	L			BoxScore
58 - 2022-11-24	420	Marlies	1	Phantoms	6	L			BoxScore
60 - 2022-11-26	431	Marlies	5	Reign	4	W			BoxScore
62 - 2022-11-28	446	Gulls	3	Marlies	4	W	X		BoxScore
64 - 2022-11-30	465	Wranglers	5	Marlies	2	L			BoxScore
66 - 2022-12-02	477	Marlies	0	Wild	8	L			BoxScore
68 - 2022-12-04	492	Marlies	0	Monsters	4	L			BoxScore
70 - 2022-12-06	507	Firebirds	4	Marlies	6	W			BoxScore
72 - 2022-12-08	525	Marlies	5	Admirals	4	W	X		BoxScore
74 - 2022-12-10	538	Admirals	6	Marlies	4	L			BoxScore
78 - 2022-12-14	561	Eagles	7	Marlies	0	L			BoxScore
80 - 2022-12-16	578	Marlies	1	Moose	5	L			BoxScore
82 - 2022-12-18	592	Sound Tigers	6	Marlies	0	L			BoxScore
84 - 2022-12-20	614	Marlies	0	Checkers	3	L			BoxScore
86 - 2022-12-22	626	Marlies	4	Crunch	5	L			BoxScore
87 - 2022-12-23	639	Roadrunners	5	Marlies	4	L	X	X	BoxScore
89 - 2022-12-25	654	Marlies	5	Gulls	2	W			BoxScore
92 - 2022-12-28	669	Bruins	5	Marlies	1	L			BoxScore
94 - 2022-12-30	688	Marlies	2	Eagles	8	L			BoxScore
96 - 2023-01-01	701	Wild	7	Marlies	0	L			BoxScore
98 - 2023-01-03	721	Barracuda	7	Marlies	1	L			BoxScore
100 - 2023-01-05	732	Marlies	3	Barracuda	5	L			BoxScore
102 - 2023-01-07	747	Marlies	3	Bears	5	L			BoxScore
104 - 2023-01-09	763	Bears	8	Marlies	3	L			BoxScore
106 - 2023-01-11	777	Marlies	0	Stars	3	L			BoxScore
108 - 2023-01-13	791	Moose	6	Marlies	3	L			BoxScore
111 - 2023-01-16	816	IceHogs	4	Marlies	2	L			BoxScore
113 - 2023-01-18	827	Marlies	0	Senators	7	L			BoxScore
116 - 2023-01-21	848	Marlies	1	Bruins	7	L			BoxScore
117 - 2023-01-22	857	Wolves	10	Marlies	1	L			BoxScore
120 - 2023-01-25	878	Senators	6	Marlies	0	L			BoxScore
122 - 2023-01-27	892	Marlies	3	Sound Tigers	7	L			BoxScore
124 - 2023-01-29	911	Penguins	4	Marlies	1	L			BoxScore
126 - 2023-01-31	925	Marlies	1	Rampage	10	L			BoxScore
129 - 2023-02-03	946	Condors	6	Marlies	4	L			BoxScore
130 - 2023-02-04	957	Marlies	2	Condors	3	L			BoxScore
133 - 2023-02-07	975	Monsters	8	Marlies	0	L			BoxScore
135 - 2023-02-09	988	Marlies	2	Rocket	5	L			BoxScore
137 - 2023-02-11	1008	Stars	8	Marlies	0	L			BoxScore
138 - 2023-02-12	1019	Marlies	4	IceHogs	6	L			BoxScore
141 - 2023-02-15	1036	Marlies	0	Griffins	9	L			BoxScore
143 - 2023-02-17	1050	Thunderbirds	5	Marlies	7	W			BoxScore
144 - 2023-02-18	1057	Marlies	4	Firebirds	5	L			BoxScore
149 - 2023-02-23	1084	Checkers	3	Marlies	0	L			BoxScore
152 - 2023-02-26	1109	Reign	2	Marlies	3	W			BoxScore
155 - 2023-03-01	1124	Marlies	3	Wolves	9	L			BoxScore
158 - 2023-03-04	1140	Griffins	4	Marlies	0	L			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	68,327	34,206
Attendance PCT	94.90%	95.02%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
0	2848 - 94.94%	71,000$	2,555,990$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
179,853$	75,857$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	79,810$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	1,092$	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
12	82	9	68	0	2	2	0	1	170	454	-284	41	6	32	0	0	2	0	1	91	224	-133	41	3	36	0	2	0	0	0	79	230	-151	25	170	331	501	1	0	0	66	56	46	2056	0	706	670	665	3666	1018	775	1475	392	47	11.99%	321	102	68.22%	2	686	1998	34.33%	901	2849	31.63%	399	1355	29.45%	1241	824	2800	620	894	352
13	76	4	68	0	1	3	0	0	118	417	-299	38	1	36	0	0	1	0	0	60	210	-150	38	3	32	0	1	2	0	0	58	207	-149	13	118	230	348	0	0	0	46	35	36	1763	0	580	601	579	3257	875	646	1275	323	30	9.29%	261	71	72.80%	1	527	1803	29.23%	702	2546	27.57%	326	1211	26.92%	1050	685	2692	580	827	303
14	76	4	69	0	0	2	1	0	123	440	-317	38	2	33	0	0	2	1	0	60	216	-156	38	2	36	0	0	0	0	0	63	224	-161	12	123	234	357	0	0	0	47	41	34	1643	0	544	519	576	3644	1020	713	1260	277	24	8.66%	303	74	75.58%	4	415	1718	24.16%	676	2732	24.74%	310	1205	25.73%	991	636	2786	561	791	289
15	82	32	31	0	6	6	2	5	200	180	20	41	16	14	0	4	3	2	2	110	93	17	41	16	17	0	2	3	0	3	90	87	3	91	200	344	544	3	10	0	79	61	52	2102	0	679	704	683	2258	656	1189	1618	386	62	16.06%	465	57	87.74%	2	1152	2444	47.14%	1147	2662	43.09%	553	1151	48.05%	2005	1416	2016	580	959	478
16	82	21	48	0	2	4	4	3	164	253	-89	41	16	18	0	1	3	1	2	100	121	-21	41	5	30	0	1	1	3	1	64	132	-68	61	164	262	426	2	4	0	65	53	40	1858	0	601	621	614	2791	792	942	1665	362	64	17.68%	374	69	81.55%	0	659	2101	31.37%	889	2953	30.10%	357	1137	31.40%	1663	1155	2399	579	903	416
17	72	7	62	0	2	0	0	1	141	423	-282	36	5	29	0	1	0	0	1	75	210	-135	36	2	33	0	1	0	0	0	66	213	-147	19	141	273	414	1	0	57	45	37	2	1880	682	558	630	13	3287	919	588	1326	255	34	13.33%	256	73	71.48%	1	574	1753	32.74%	743	2503	29.68%	360	1169	30.80%	1108	742	2454	518	768	307
Total Regular Season	470	77	346	0	13	17	7	10	916	2167	-1251	235	46	162	0	6	11	4	6	496	1074	-578	235	31	184	0	7	6	3	4	420	1093	-673	221	916	1674	2590	7	14	57	348	283	210	11302	682	3668	3745	3130	18903	5280	4853	8619	1995	261	13.08%	1980	446	77.47%	10	4013	11817	33.96%	5058	16245	31.14%	2305	7228	31.89%	8061	5462	15149	3440	5145	2149