OTHL - Marlies

Home
Main
Pro League
Farm League
League
- Entry Draft Projection
- Coaches
- Transactions
- Waivers
- Team/GM
- Trade History
- Prospects
- RSS Feed
- Unassigned
  - Players
  - Goalies
- Available For Trade
  - Players
  - Goalies
- Free Agents
  - Players
  - Goalies
History
Team's Link
- Pro Team
  - Eastern Conference
    - Blue Jackets
    - Bruins
    - Canadiens
    - Capitals
    - Devils
    - Flyers
    - Hurricanes
    - Islanders
    - Lightning
    - Maple Leafs
    - Panthers
    - Penguins
    - Rangers
    - Red Wings
    - Sabres
    - Senators
  - Western Conference
    - Avalanche
    - Blackhawks
    - Blues
    - Canucks
    - Coyotes
    - Ducks
    - Flames
    - Golden Knights
    - Jets
    - Kings
    - Oilers
    - Predators
    - Sharks
    - Stars
    - Wild
- Farm Team
  - Eastern Conference
    - Bears
    - Bruins
    - Checkers
    - Comets
    - Crunch
    - Devils
    - Griffins
    - Marlies
    - Monsters
    - Penguins
    - Phantoms
    - Rocket
    - Senators
    - Sound Tigers
    - Thunderbirds
    - Wolf Pack
  - Western Conference
    - Americans
    - Admirals
    - Barracudas
    - Condors
    - Eagles
    - Gulls
    - Heat
    - IceHogs
    - Moose
    - Rampage
    - Reign
    - Roadrunners
    - Stars
    - Wild
    - Wolves
Search
Legacy Pages
Season Stat
- Pro League
- Farm League
Help
- Latest STHS Client
- STHS Client Manual

Marlies

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Garrett | Morale : 50 | Team Overall : 59

Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Maple Leafs
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

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
1	Jeremy Bracco (R)			X		100.00	72	64	92	73	64	76	78	69	50	74	60	65	57	47	47	67	50	65		0
2	Steven Lorentz (R)	X				100.00	77	77	76	61	77	61	64	51	64	50	48	62	46	44	44	55	50	56		0
3	Spencer Smallman (R)			X		100.00	73	73	72	62	73	44	41	56	50	64	44	62	42	44	44	55	50	55		0
4	Travis Dermott				X	100.00	81	45	89	79	77	72	67	62	25	55	48	67	25	51	52	61	50	65		0
Scratches

	TEAM AVERAGE					100.00	76	65	82	69	73	63	63	60	47	61	50	64	43	47	47	60	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	TA	SP
1	Dylan Wells (R)	100.00	57	64	80	70	57	63	51	60	59	57	30	44	44	58	50	58		0
2	Zachary Fucale	100.00	56	46	58	74	59	56	58	62	59	59	30	44	44	57	50	57		0
Scratches

	TEAM AVERAGE	100.00	57	55	69	72	58	60	55	61	59	58	30	44	44	58	50	58

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Rocky Thompson	65	59	51	59	50	48	55	CAN	42	4	750,000$

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	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Link
Dylan Wells	Marlies (TOR)	G	22	1998-01-03	Yes	185 Lbs	6 ft1	No	No	No	3	Pro & Farm	910,833$		0$	0$	No	910,833$	910,833$								Link
Jeremy Bracco	Marlies (TOR)	RW	23	1997-03-17	Yes	180 Lbs	5 ft9	No	No	No	3	Pro & Farm	925,000$		0$	0$	No	925,000$	925,000$								Link
Spencer Smallman	Marlies (TOR)	RW	23	1996-09-08	Yes	200 Lbs	6 ft0	No	No	No	3	Pro & Farm	758,333$		0$	0$	No	758,333$	758,333$								Link
Steven Lorentz	Marlies (TOR)	C	24	1996-04-12	Yes	201 Lbs	6 ft4	No	No	No	3	Pro & Farm	728,333$		0$	0$	No	728,333$	728,333$								Link
Travis Dermott	Marlies (TOR)	D	23	1996-12-21	No	215 Lbs	6 ft0	No	No	No	2	Pro & Farm	863,333$		0$	0$	No	863,333$									Link
Zachary Fucale	Marlies (TOR)	G	25	1995-05-27	No	187 Lbs	6 ft2	No	No	No	2	Pro & Farm	863,000$		0$	0$	No	863,000$									Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
6	23.33	195 Lbs	6 ft1	2.67	841,472$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Steven Lorentz	Jeremy Bracco	40	1	2	2
2			Spencer Smallman	30	1	2	2
3				20	1	2	2
4	Steven Lorentz	Jeremy Bracco	Spencer Smallman	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		Steven Lorentz	Jeremy Bracco	60	1	2	2
2			Spencer Smallman	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	Jeremy Bracco	Steven Lorentz	60	1	2	2
2	Spencer Smallman		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	Jeremy Bracco	60	1	2	2			60	1	2	2
2	Steven Lorentz	40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Jeremy Bracco	Steven Lorentz	60	1	2	2
2	Spencer Smallman		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
	Steven Lorentz	Jeremy Bracco

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Steven Lorentz	Jeremy Bracco

Extra Forwards
Normal	PowerPlay	Penalty Kill
Spencer Smallman, Jeremy Bracco, Steven Lorentz	Spencer Smallman, Jeremy Bracco	Steven Lorentz

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
Jeremy Bracco, Steven Lorentz, Spencer Smallman, ,

Goalie
#1 : Dylan Wells, #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

	Overall												Home											Visitor
#	VS Team	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	PCT	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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			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

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	0
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	Arena Capacity	Team Popularity
41	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	504,882$	504,882$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2019	82	33	46	0	1	1	0	1	334	391	-57	41	17	22	0	1	1	0	0	181	181	0	41	16	24	0	0	0	0	1	153	210	-57	66	334	544	878	2	1	148	98	87	1	2862	959	944	955	6	2366	712	593	1749	244	37	15.16%	258	88	65.89%	1	1097	2175	50.44%	834	1791	46.57%	756	1442	52.43%	2103	1614	1950	492	875	436
Total Regular Season	82	33	46	0	1	1	0	1	334	391	-57	41	17	22	0	1	1	0	0	181	181	0	41	16	24	0	0	0	0	1	153	210	-57	66	334	544	878	2	1	148	98	87	1	2862	959	944	955	6	2366	712	593	1749	244	37	15.16%	258	88	65.89%	1	1097	2175	50.44%	834	1791	46.57%	756	1442	52.43%	2103	1614	1950	492	875	436

Back to the Top