LHS - Ligue de Hockey Simule

Maple Leafs
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	Adam Cracknell	0	X				100.00	76	40	87	66	85	87	83	65	68	66	63	64	67	78	83	0	75	67	0
2	Adam Ruzicka (R)	0	X	X	X		100.00	59	38	94	66	89	78	76	65	76	67	62	58	64	63	65	0	75	64	0
3	Jacob Lucchini (R)	0	X				100.00	66	36	95	64	70	89	87	63	73	65	61	62	63	68	69	0	75	64	0
4	Vasily Ponomarev (R)	0	X				100.00	59	38	84	65	68	86	73	64	73	63	64	60	65	61	63	0	75	63	0
5	Vitali Kravtsov (R)	0			X		100.00	58	36	93	67	81	78	67	64	55	58	60	59	66	63	64	0	75	62	0
6	Brett Sutter	0	X				100.00	65	40	79	57	74	79	85	56	59	57	58	56	57	76	78	0	75	61	0
7	Eduards Tralmaks	0			X		100.00	79	40	84	57	88	76	74	56	59	55	57	60	57	66	68	0	75	61	0
8	Andre Lee	0		X			100.00	82	42	82	55	91	71	72	52	56	53	54	59	52	63	65	0	75	60	0
9	Corey Andonovski	0			X		100.00	67	41	71	55	76	71	72	53	56	55	54	57	52	64	66	0	75	58	0
10	Alex Kile	0		X			100.00	64	41	82	54	73	71	68	53	58	54	55	57	56	69	71	0	75	58	0
11	Jarid Lukosevicius	0			X		100.00	58	36	90	55	67	79	81	54	58	53	56	52	55	68	70	0	75	58	0
12	Ethan Prow	6				X	100.00	60	37	95	61	69	72	86	58	30	67	56	59	50	71	73	0	75	62	0
13	Roland McKeown (R)	0				X	100.00	65	39	75	59	76	80	84	57	30	60	58	62	49	67	69	0	75	61	0
14	Brian Lashoff	0				X	100.00	77	41	84	56	86	62	82	52	30	54	53	57	45	73	78	0	75	60	0
15	Matthew Robertson (R)	0				X	100.00	78	41	81	56	87	74	83	55	30	58	53	59	46	62	64	0	75	60	0
16	Brandon Davidson	0				X	100.00	73	42	71	54	82	65	70	53	30	55	54	56	46	72	74	0	75	59	0
17	Austin Osmanski	0				X	100.00	79	42	74	53	88	62	65	52	30	54	51	57	45	65	67	0	75	58	0
18	Griffin Luce (R)	0				X	100.00	78	41	73	53	87	64	71	52	30	54	50	58	45	65	67	0	75	58	0
19	Alex Breton (R)	0				X	100.00	64	38	89	54	73	68	61	53	30	55	50	52	45	66	68	0	75	57	0
Scratches
1	Anthony Vincent	0			X		100.00	63	40	75	53	72	75	61	52	56	54	50	53	51	66	68	0	75	57	0
2	Benjamin Tardif	0		X			100.00	60	36	93	55	69	66	67	54	57	55	53	52	54	63	65	0	75	57	0
3	Garrett Mitchell	0			X		100.00	63	44	63	52	72	65	77	51	53	52	51	54	51	72	77	0	75	57	0
4	Jimmy Oligny	0				X	100.00	76	79	65	54	75	65	75	53	30	56	51	54	45	70	72	0	75	58	0
5	Adam Karashik	0				X	100.00	66	42	68	52	75	63	65	51	30	53	50	54	45	65	67	0	75	56	0

	TEAM AVERAGE					100.00	68	41	81	57	78	73	74	56	48	57	55	57	53	67	70	0	75	60

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Alex Lyon	100.00	78	72	73	78	77	76	78	77	76	78	77	71	85	0	75	67	0
2	Juho Olkiuora	100.00	66	59	60	81	65	64	66	65	64	66	65	73	87	0	75	61	0
Scratches

	TEAM AVERAGE	100.00	72	66	67	80	71	70	72	71	70	72	71	72	86	0	75	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bob Woods	66	73	74	60	82	77	66	CAN	55	3	850,000$

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	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	FL	S1	S2	S3
1	Adam Cracknell	Marlies (TOR)	C	6	4	4	8	2	2	0	25	33	35	6	29	11.43%	3	154	25.80	2	2	4	10	21	0	26	0	0	54.79%	261	0	0	1.03	0	2	1	0
2	Adam Ruzicka	Marlies (TOR)	C/LW/RW	6	3	3	6	2	0	0	3	12	22	4	13	13.64%	0	140	23.45	2	0	2	7	21	1	26	2	0	68.75%	16	0	0	0.85	0	0	1	0
3	Jarid Lukosevicius	Marlies (TOR)	RW	6	4	2	6	-1	0	0	1	5	16	3	7	25.00%	2	111	18.62	1	2	3	5	20	0	0	0	1	22.22%	9	0	0	1.07	0	1	0	1
4	Ethan Prow	Marlies (TOR)	D	6	1	5	6	1	2	0	5	6	11	1	7	9.09%	4	146	24.36	1	3	4	9	25	0	18	0	0	0.00%	0	0	0	0.82	0	0	0	1
5	Vasily Ponomarev	Marlies (TOR)	C	6	4	2	6	2	2	0	3	14	23	10	21	17.39%	4	90	15.12	0	0	0	0	0	0	10	1	0	54.81%	104	0	1	1.32	0	1	0	1
6	Austin Osmanski	Marlies (TOR)	D	6	1	3	4	2	2	0	14	7	4	1	3	25.00%	4	84	14.06	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.95	0	0	0	1
7	Corey Andonovski	Marlies (TOR)	RW	6	0	4	4	2	2	0	9	4	18	1	4	0.00%	1	85	14.22	0	0	0	0	0	0	4	0	0	40.00%	5	0	0	0.94	0	0	0	0
8	Alex Kile	Marlies (TOR)	LW	6	2	2	4	2	0	0	1	6	10	3	6	20.00%	0	83	13.88	0	0	0	0	1	0	1	0	0	66.67%	3	0	0	0.96	0	0	1	0
9	Andre Lee	Marlies (TOR)	LW	6	1	3	4	-1	13	5	20	4	18	4	6	5.56%	2	109	18.28	1	1	2	3	19	0	0	0	0	37.50%	8	0	0	0.73	1	0	0	0
10	Jacob Lucchini	Marlies (TOR)	C	6	0	4	4	0	2	0	7	28	24	4	8	0.00%	2	127	21.18	0	2	2	9	20	1	11	0	0	52.02%	173	0	0	0.63	0	0	0	0
11	Vitali Kravtsov	Marlies (TOR)	RW	6	2	2	4	1	2	0	0	9	19	7	11	10.53%	2	110	18.35	0	2	2	2	21	0	0	0	0	80.00%	5	1	0	0.73	0	0	0	0
12	Roland McKeown	Marlies (TOR)	D	6	0	3	3	1	8	0	29	7	11	3	5	0.00%	3	145	24.28	0	1	1	7	25	0	17	0	0	0.00%	0	0	0	0.41	0	0	0	1
13	Matthew Robertson	Marlies (TOR)	D	6	0	3	3	0	8	0	9	3	7	4	12	0.00%	7	124	20.72	0	1	1	4	16	0	17	0	0	0.00%	0	0	0	0.48	0	0	0	0
14	Alex Breton	Marlies (TOR)	D	6	0	1	1	2	0	0	2	3	1	0	1	0.00%	4	94	15.73	0	0	0	0	0	0	10	0	0	0.00%	0	0	0	0.21	0	0	0	0
15	Brandon Davidson	Marlies (TOR)	D	6	1	0	1	0	12	0	17	3	7	3	7	14.29%	7	124	20.74	1	0	1	4	15	0	16	1	0	0.00%	0	0	0	0.16	0	0	0	0
16	Anthony Vincent	Marlies (TOR)	RW	3	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.14	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0
17	Griffin Luce	Marlies (TOR)	D	3	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.12	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0.00	0	0	0	0
18	Benjamin Tardif	Marlies (TOR)	LW	3	0	0	0	0	0	0	0	0	0	1	2	0.00%	0	12	4.26	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0.00	0	0	0	0
19	Garrett Mitchell	Marlies (TOR)	RW	3	0	0	0	0	0	0	2	1	1	0	0	0.00%	0	12	4.26	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0.00	0	0	0	0
Team Total or Average				102	23	41	64	15	55	5	147	145	227	55	142	10.13%	45	1759	17.25	8	14	22	60	207	2	162	4	1	53.92%	586	1	1	0.73	1	4	3	5

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	PCT	GAA	MP	GA	SA	ST	BG	S2
1	Alex Lyon	Marlies (TOR)	6	4	2	0.907	3.16	342	18	194	6	0	1
2	Juho Olkiuora	Marlies (TOR)	1	0	0	0.917	3.53	17	1	12	0	6	0
Team Total or Average			7	4	2	0.908	3.17	360	19	206	6	6	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

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
Adam Cracknell	C	38	7/15/1985	No	209 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Adam Karashik	D	25	1/15/1998	No	201 Lbs	6 ft0	No	No	No	1	RFA	Pro & Farm	550,000$	0$	0$	No	Link / NHL Link
Adam Ruzicka	C/LW/RW	24	5/11/1999	Yes	215 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Alex Breton	D	26	7/5/1997	Yes	191 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Alex Kile	LW	29	7/9/1994	No	194 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	550,000$	0$	0$	No	Link / NHL Link
Alex Lyon	G	31	12/9/1992	No	201 Lbs	6 ft1	No	No	No	3	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Andre Lee	LW	23	7/26/2000	No	206 Lbs	6 ft5	No	No	No	3	ELC	Pro & Farm	800,000$	0$	0$	No	Link / NHL Link
Anthony Vincent	RW	26	8/12/1997	No	190 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Austin Osmanski	D	25	4/30/1998	No	207 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Benjamin Tardif	LW	23	1/24/2000	No	192 Lbs	5 ft10	No	No	No	3	ELC	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Brandon Davidson	D	32	8/21/1991	No	209 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Brett Sutter	C	36	6/2/1987	No	200 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	550,000$	0$	0$	No	Link / NHL Link
Brian Lashoff	D	33	7/16/1990	No	213 Lbs	6 ft3	No	No	No	3	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Corey Andonovski	RW	24	3/26/1999	No	195 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Eduards Tralmaks	RW	26	2/17/1997	No	209 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Ethan Prow	D	31	11/17/1992	No	182 Lbs	5 ft11	No	No	No	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Garrett Mitchell	RW	32	9/2/1991	No	198 Lbs	5 ft11	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Griffin Luce	D	25	3/10/1998	Yes	217 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Jacob Lucchini	C	28	5/9/1995	Yes	180 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Jarid Lukosevicius	RW	28	2/5/1995	No	185 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	775,000$	0$	0$	No	Link / NHL Link
Jimmy Oligny	D	30	4/30/1993	No	203 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Juho Olkiuora	G	33	11/4/1990	No	201 Lbs	6 ft2	No	No	No	1	UFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Matthew Robertson	D	22	9/1/2001	Yes	201 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Roland McKeown	D	27	1/20/1996	Yes	195 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Vasily Ponomarev	C	21	3/13/2002	Yes	180 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Vitali Kravtsov	RW	24	12/23/1999	Yes	186 Lbs	6 ft3	No	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	27.77	198 Lbs	6 ft1	2.12	775,962$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Adam Ruzicka	Adam Cracknell	Vitali Kravtsov	40	1	2	2
2	Andre Lee	Jacob Lucchini	Jarid Lukosevicius	30	1	2	2
3	Alex Kile	Vasily Ponomarev	Corey Andonovski	20	1	2	2
4	Jacob Lucchini	Adam Cracknell	Adam Ruzicka	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ethan Prow	Roland McKeown	40	1	2	2
2	Matthew Robertson	Brandon Davidson	30	1	2	2
3	Austin Osmanski	Alex Breton	20	1	2	2
4	Ethan Prow	Roland McKeown	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Adam Ruzicka	Adam Cracknell	Vitali Kravtsov	60	1	2	2
2	Andre Lee	Jacob Lucchini	Jarid Lukosevicius	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ethan Prow	Roland McKeown	60	1	2	2
2	Matthew Robertson	Brandon Davidson	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Adam Cracknell	Adam Ruzicka	60	1	2	2
2	Jacob Lucchini	Vasily Ponomarev	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ethan Prow	Roland McKeown	60	1	2	2
2	Matthew Robertson	Brandon Davidson	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Adam Cracknell	60	1	2	2	Ethan Prow	Roland McKeown	60	1	2	2
2	Adam Ruzicka	40	1	2	2	Matthew Robertson	Brandon Davidson	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Adam Cracknell	Adam Ruzicka	60	1	2	2
2	Jacob Lucchini	Vasily Ponomarev	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ethan Prow	Roland McKeown	60	1	2	2
2	Matthew Robertson	Brandon Davidson	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Adam Ruzicka	Adam Cracknell	Vitali Kravtsov	Ethan Prow	Roland McKeown

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Adam Ruzicka	Adam Cracknell	Vitali Kravtsov	Ethan Prow	Roland McKeown

Extra Forwards
Normal	PowerPlay	Penalty Kill
Adam Cracknell, Alex Kile, Corey Andonovski	Adam Ruzicka, Alex Kile	Corey Andonovski

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Austin Osmanski, Alex Breton, Matthew Robertson	Austin Osmanski	Alex Breton, Matthew Robertson

Penalty Shots
Adam Cracknell, Adam Ruzicka, Jacob Lucchini, Vasily Ponomarev, Vitali Kravtsov

Goalie
#1 : Alex Lyon, #2 : Juho Olkiuora

Custom OT Lines Forwards
Adam Cracknell, Adam Ruzicka, Jacob Lucchini, Vasily Ponomarev, Vitali Kravtsov, Andre Lee, Andre Lee, Jarid Lukosevicius, Alex Kile, Corey Andonovski, Brett Sutter

Custom OT Lines Defensemen
Ethan Prow, Roland McKeown, Matthew Robertson, Brandon Davidson, Austin Osmanski

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
6	8	W3	23	41	64	227	206	45	55	147	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	4	2	0	0	0	0	23	19

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	12	8

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	11	11

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	2	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
25	8	32.00%	25	7	72.00%	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
80	68	79	0	6	9	8	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
133	243	54.73%	131	237	55.27%	52	106	49.06%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
141	96	141	46	76	37

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	Link
1 - 2024-04-18	4	Marlies	6	Bears	3	W	BoxScore
3 - 2024-04-20	12	Marlies	0	Bears	5	L	BoxScore
5 - 2024-04-22	20	Bears	5	Marlies	3	L	BoxScore
7 - 2024-04-24	28	Bears	1	Marlies	4	W	BoxScore
9 - 2024-04-26	36	Marlies	5	Bears	3	W	BoxScore
11 - 2024-04-28	44	Bears	2	Marlies	5	W	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	40	25
Attendance	4,566	2,178
Attendance PCT	76.10%	72.60%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
38	2248 - 74.93%	98,787$	296,362$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,017,500$	1,937,500$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	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
23	82	32	38	0	5	3	1	3	293	304	-11	41	18	14	0	5	2	1	1	159	147	12	41	14	24	0	0	1	0	2	134	157	-23	82	293	511	804	3	3	110	97	80	6	3135	999	1110	1009	28	3088	868	579	1960	251	45	17.93%	251	55	78.09%	2	1790	3112	57.52%	1661	3098	53.62%	740	1382	53.55%	1974	1395	1948	579	1025	508
2022	82	33	36	0	6	2	2	3	332	347	-15	41	17	17	0	1	1	2	3	167	179	-12	41	16	19	0	5	1	0	0	165	168	-3	87	332	591	923	0	0	115	113	96	16	3125	950	1084	1054	59	3031	868	502	1824	248	70	28.23%	217	62	71.43%	2	1590	3020	52.65%	1461	2872	50.87%	792	1498	52.87%	1983	1384	1930	581	1049	526
2023	82	39	28	0	5	4	4	2	310	257	53	41	20	15	0	3	1	2	0	156	138	18	41	19	13	0	2	3	2	2	154	119	35	102	310	551	861	2	0	120	87	94	12	3064	1022	1025	990	45	3058	882	519	2033	222	45	20.27%	235	47	80.00%	4	1572	3039	51.73%	1707	3144	54.29%	741	1374	53.93%	1898	1306	2002	600	1065	525
Total Regular Season	246	104	102	0	16	9	7	8	935	908	27	123	55	46	0	9	4	5	4	482	464	18	123	49	56	0	7	5	2	4	453	444	9	271	935	1653	2588	5	3	345	297	270	34	9324	2971	3219	3053	132	9177	2618	1600	5817	721	160	22.19%	703	164	76.67%	8	4952	9171	54.00%	4829	9114	52.98%	2273	4254	53.43%	5856	4086	5881	1760	3140	1560
2023	6	4	2	0	0	0	0	0	23	19	4	3	2	1	0	0	0	0	0	12	8	4	3	2	1	0	0	0	0	0	11	11	0	8	23	41	64	0	0	6	9	8	0	227	80	68	79	0	206	45	55	147	25	8	32.00%	25	7	72.00%	0	133	243	54.73%	131	237	55.27%	52	106	49.06%	141	96	141	46	76	37
Total Playoff	6	4	2	0	0	0	0	0	23	19	4	3	2	1	0	0	0	0	0	12	8	4	3	2	1	0	0	0	0	0	11	11	0	8	23	41	64	0	0	6	9	8	0	227	80	68	79	0	206	45	55	147	25	8	32.00%	25	7	72.00%	0	133	243	54.73%	131	237	55.27%	52	106	49.06%	141	96	141	46	76	37