OTHL - Checkers

Hurricanes
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
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	Age	Contract	Salary
1	Nick Suzuki (R)	X				100.00	73	43	97	83	66	72	82	75	77	79	71	63	25	53	53	74	50	69	0	21	3	1,325,833$
2	Casey Mittelstadt	X	X			100.00	63	42	97	83	74	63	89	70	66	63	64	58	79	57	57	67	50	66	0	22	2	1,491,666$
3	Ryan Donato	X	X			100.00	73	43	93	83	67	57	85	66	43	62	74	59	80	58	59	71	50	66	0	25	2	1,350,000$
4	Kaapo Kakko (R)			X		100.00	61	41	92	82	72	67	78	74	34	65	68	61	75	52	52	68	50	66	0	20	3	3,575,000$
5	Jack Hughes (R)	X	X			100.00	59	40	94	82	62	72	75	84	69	68	60	55	48	51	51	65	50	65	0	20	3	3,775,000$
6	Troy Terry	X		X		100.00	57	40	95	77	65	68	84	74	36	68	59	54	53	54	54	64	50	63	0	23	2	1,491,666$
7	Alexander Volkov (R)		X	X		100.00	75	71	83	64	71	81	86	63	50	62	58	67	55	55	55	65	50	63	0	23	3	925,000$
8	Mitchell Stephens (R)	X				100.00	73	43	91	65	70	57	64	60	86	58	58	74	25	47	47	63	50	61	0	24	3	919,166$
9	Egor Sharangovich	X				100.00	80	73	97	64	73	74	79	57	71	53	57	65	54	44	44	63	50	60	0	23	3	925,000$
10	Sasha Chmelevski (R)	X		X		100.00	73	68	84	65	68	65	66	62	78	59	62	63	59	44	44	64	50	60	0	22	3	927,500$
11	Philipp Kurashev (R)	X				100.00	77	70	92	66	70	64	66	59	74	57	57	64	54	44	44	62	50	60	0	21	3	925,000$
12	Otto Koivula		X	X		100.00	75	45	94	66	83	50	76	55	59	50	55	71	25	45	45	60	50	59	0	22	3	786,666$
13	Oliver Kylington				X	100.00	71	42	89	79	67	62	71	58	25	49	48	62	25	55	55	58	50	62	0	24	1	1,350,000$
14	Christian Jaros				X	100.00	76	44	86	63	76	55	72	53	25	57	47	65	25	54	54	59	50	61	0	25	1	801,667$
15	Alex Alexeyev (R)				X	100.00	81	77	90	63	77	67	71	51	25	46	41	64	39	44	44	55	50	60	0	21	3	863,333$
16	Nelson Nogier				X	100.00	74	72	78	65	72	76	84	46	25	37	39	60	37	44	44	52	50	59	0	25	4	975,000$
Scratches
1	Jesse Puljujarvi			X		100.00	75	44	89	81	80	62	80	61	44	60	59	65	25	57	57	64	50	64	0	23	0	0$
2	Michael Mersch		X			100.00	77	78	76	63	78	75	80	57	50	50	59	64	56	44	44	62	50	60	0	28	0	0$
3	Axel Jonsson-Fjallby (R)		X			100.00	76	68	94	66	68	58	59	55	50	48	58	63	55	44	44	60	50	57	0	23	3	860,000$
4	Kirill Maksimov (R)			X		100.00	78	77	81	67	77	69	75	50	50	47	47	63	45	44	44	56	50	57	0	22	3	879,167$

	TEAM AVERAGE					100.00	72	56	90	71	72	66	76	62	52	57	57	63	47	50	50	63	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	Matiss Kivlenieks	100.00	53	54	68	69	54	56	50	57	54	53	30	44	44	54	50	55	0
2	Jakub Skarek (R)	100.00	49	52	65	79	47	48	50	54	48	48	30	44	44	50	50	52	0
Scratches

	TEAM AVERAGE	100.00	51	53	67	74	51	52	50	56	51	51	30	44	44	52	50	54

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Mark Dennehy	53	73	73	61	49	33	57	USA	52	2	600,000$

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

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/playoffs/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/playoffs/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/playoffs/PlayersStatSub.php on line 105

Deprecated: number_format(): Passing null to parameter #1 ($num) of type float is deprecated in /home/othlca/history.othl.ca/public_html/outputs/2020-21/playoffs/PlayersStatSub.php on line 105

#	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	HT	P/20	FL	FT	S1	S2	S3
1	Troy Terry	Checkers (CAR)	C/RW	7	5	3	8	-3	0	0	3	8	17	3	12	29.41%	2	136	19.50	3	1	4	8	32	0	0	1	0	33.33%	9	1	1.17	0	0	1	0	0
2	Jack Hughes	Checkers (CAR)	C/LW	7	2	5	7	-3	4	0	6	14	11	1	13	18.18%	2	136	19.50	1	3	4	1	32	0	0	0	0	28.57%	7	0	1.03	0	0	0	1	0
3	Ryan Donato	Checkers (CAR)	C/LW	7	1	5	6	-3	6	0	20	15	14	8	17	7.14%	3	150	21.56	0	3	3	1	32	0	12	0	0	42.07%	145	0	0.80	0	0	0	0	1
4	Alexander Volkov	Checkers (CAR)	LW/RW	7	3	2	5	5	8	0	11	5	12	3	4	25.00%	0	90	12.92	0	0	0	0	0	0	6	0	1	66.67%	6	0	1.11	0	0	1	0	0
5	Christian Jaros	Checkers (CAR)	D	7	0	4	4	-2	6	0	26	8	11	4	8	0.00%	12	183	26.23	0	1	1	8	39	0	24	0	0	0.00%	0	0	0.44	0	0	0	0	1
6	Mitchell Stephens	Checkers (CAR)	C	7	1	3	4	5	4	0	6	9	8	8	8	12.50%	1	105	15.03	0	0	0	1	3	0	17	0	0	55.56%	90	0	0.76	0	0	0	1	0
7	Casey Mittelstadt	Checkers (CAR)	C/LW	7	3	0	3	-3	6	0	8	26	22	2	11	13.64%	2	184	26.37	2	0	2	9	38	0	31	1	1	50.00%	10	0	0.32	0	0	1	0	0
8	Kaapo Kakko	Checkers (CAR)	RW	7	0	3	3	-2	4	0	14	26	25	4	15	0.00%	2	162	23.16	0	2	2	6	38	1	12	0	0	50.00%	8	0	0.37	0	0	0	1	0
9	Sasha Chmelevski	Checkers (CAR)	C/RW	7	0	2	2	5	2	0	4	6	11	1	8	0.00%	0	83	11.99	0	0	0	0	0	0	0	0	0	40.00%	5	0	0.48	0	0	0	0	0
10	Nelson Nogier	Checkers (CAR)	D	7	1	0	1	-3	8	0	15	6	4	2	4	25.00%	9	172	24.63	1	0	1	3	31	0	28	1	0	0.00%	0	0	0.12	0	0	0	0	0
11	Egor Sharangovich	Checkers (CAR)	C	7	0	1	1	1	6	0	7	7	3	1	3	0.00%	7	118	16.97	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.17	0	0	0	0	0
12	Philipp Kurashev	Checkers (CAR)	C	7	1	0	1	-1	15	5	19	13	5	1	8	20.00%	5	138	19.73	0	0	0	0	0	0	0	0	0	46.15%	26	0	0.14	0	1	0	0	1
13	Alex Alexeyev	Checkers (CAR)	D	7	0	0	0	-4	29	5	16	5	5	0	1	0.00%	10	162	23.24	0	0	0	3	32	0	22	0	0	0.00%	0	0	0.00	1	0	0	0	0
Team Total or Average				91	17	28	45	-8	98	10	155	148	148	38	112	11.49%	55	1825	20.06	7	10	17	40	282	1	156	3	2	46.73%	306	1	0.49	1	1	3	3	3

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	Matiss Kivlenieks	Checkers (CAR)	7	3	3	1	0.902	2.10	515	4	0	18	184	0	2	0	0.000	0	7	0	0	0	0
Team Total or Average			7	3	3	1	0.902	2.10	515	4	0	18	184	0	2	0	0.000	0	7	0	0	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Link
Alex Alexeyev	Checkers (CAR)	D	21	1999-11-15	Yes	201 Lbs	6 ft4	No	No	No	3	Pro & Farm	863,333$	0$	0$	No	863,333$	863,333$		Link / NHL Link
Alexander Volkov	Checkers (CAR)	LW/RW	23	1997-08-02	Yes	191 Lbs	6 ft1	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$		Link / NHL Link
Axel Jonsson-Fjallby	Checkers (CAR)	LW	23	1998-02-10	Yes	185 Lbs	6 ft0	No	No	No	3	Pro & Farm	860,000$	0$	0$	No	860,000$	860,000$		Link / NHL Link
Casey Mittelstadt	Checkers (CAR)	C/LW	22	1998-11-22	No	203 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,491,666$	0$	0$	No	1,491,666$			Link / NHL Link
Christian Jaros	Checkers (CAR)	D	25	1996-04-02	No	201 Lbs	6 ft3	No	No	No	1	Pro & Farm	801,667$	0$	0$	No				Link / NHL Link
Egor Sharangovich	Checkers (CAR)	C	23	1998-06-06	No	196 Lbs	6 ft2	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$		Link / NHL Link
Jack Hughes	Checkers (CAR)	C/LW	20	2001-05-13	Yes	171 Lbs	5 ft10	No	No	No	3	Pro & Farm	3,775,000$	0$	0$	No	3,775,000$	3,775,000$		Link / NHL Link
Jakub Skarek	Checkers (CAR)	G	21	1999-11-10	Yes	196 Lbs	6 ft3	No	No	No	3	Pro & Farm	913,333$	0$	0$	No	913,333$	913,333$		Link / NHL Link
Jesse Puljujarvi	Checkers (CAR)	RW	23	1998-05-07	No	211 Lbs	6 ft4	No	No	No	0	Pro & Farm		0$	0$	No				Link
Kaapo Kakko	Checkers (CAR)	RW	20	2001-02-13	Yes	190 Lbs	6 ft2	No	No	No	3	Pro & Farm	3,575,000$	0$	0$	No	3,575,000$	3,575,000$		Link / NHL Link
Kirill Maksimov	Checkers (CAR)	RW	22	1999-06-01	Yes	207 Lbs	6 ft3	No	No	No	3	Pro & Farm	879,167$	0$	0$	No	879,167$	879,167$		Link / NHL Link
Matiss Kivlenieks	Checkers (CAR)	G	24	1996-08-25	No	178 Lbs	6 ft2	No	No	No	1	Pro & Farm	1,066,667$	0$	0$	No				Link / NHL Link
Michael Mersch	Checkers (CAR)	LW	28	1992-10-02	No	213 Lbs	6 ft2	No	No	No	0	Pro & Farm		0$	0$	No				Link / NHL Link
Mitchell Stephens	Checkers (CAR)	C	24	1997-02-05	Yes	191 Lbs	6 ft0	No	No	No	3	Pro & Farm	919,166$	0$	0$	No	919,166$	919,166$		Link / NHL Link
Nelson Nogier	Checkers (CAR)	D	25	1996-05-26	No	191 Lbs	6 ft2	Yes	No	No	4	Pro & Farm	975,000$	0$	0$	No	975,000$	975,000$	975,000$	Link / NHL Link
Nick Suzuki	Checkers (CAR)	C	21	1999-08-10	Yes	183 Lbs	5 ft11	No	No	No	3	Pro & Farm	1,325,833$	0$	0$	No	1,325,833$	1,325,833$		Link / NHL Link
Oliver Kylington	Checkers (CAR)	D	24	1997-05-19	No	183 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,350,000$	0$	0$	No				Link / NHL Link
Otto Koivula	Checkers (CAR)	LW/RW	22	1998-10-01	No	220 Lbs	6 ft4	No	No	No	3	Pro & Farm	786,666$	0$	0$	No	786,666$	786,666$		Link / NHL Link
Philipp Kurashev	Checkers (CAR)	C	21	1999-10-12	Yes	192 Lbs	6 ft0	No	No	No	3	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$		Link / NHL Link
Ryan Donato	Checkers (CAR)	C/LW	25	1996-04-09	No	181 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,350,000$	0$	0$	No	1,350,000$			Link / NHL Link
Sasha Chmelevski	Checkers (CAR)	C/RW	22	1999-06-09	Yes	187 Lbs	6 ft0	No	No	No	3	Pro & Farm	927,500$	0$	0$	No	927,500$	927,500$		Link
Troy Terry	Checkers (CAR)	C/RW	23	1997-09-10	No	174 Lbs	6 ft1	No	No	No	2	Pro & Farm	1,491,666$	0$	0$	No	1,491,666$			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	22.82	193 Lbs	6 ft1	2.36	1,187,576$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Casey Mittelstadt		Kaapo Kakko	40	1	2	2
2	Jack Hughes	Ryan Donato	Troy Terry	30	1	2	2
3	Alexander Volkov	Mitchell Stephens	Sasha Chmelevski	20	1	2	2
4		Philipp Kurashev		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Christian Jaros	40	1	2	2
2	Alex Alexeyev	Nelson Nogier	30	1	2	2
3	Philipp Kurashev	Egor Sharangovich	20	1	2	2
4		Christian Jaros	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Casey Mittelstadt		Kaapo Kakko	60	1	2	2
2	Jack Hughes	Ryan Donato	Troy Terry	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Christian Jaros	60	1	2	2
2	Alex Alexeyev	Nelson Nogier	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Casey Mittelstadt	60	1	2	2
2	Ryan Donato	Kaapo Kakko	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Christian Jaros	60	1	2	2
2	Alex Alexeyev	Nelson Nogier	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		Christian Jaros	60	1	2	2
2	Casey Mittelstadt	40	1	2	2	Alex Alexeyev	Nelson Nogier	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Casey Mittelstadt	60	1	2	2
2	Ryan Donato	Kaapo Kakko	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1		Christian Jaros	60	1	2	2
2	Alex Alexeyev	Nelson Nogier	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Casey Mittelstadt		Kaapo Kakko		Christian Jaros

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Casey Mittelstadt		Kaapo Kakko		Christian Jaros

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Alexander Volkov, Mitchell Stephens	, Alexander Volkov	Mitchell Stephens

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Alex Alexeyev, Nelson Nogier,	Alex Alexeyev	Nelson Nogier,

Penalty Shots
, Casey Mittelstadt, Ryan Donato, Kaapo Kakko, Jack Hughes

Goalie
#1 : Matiss Kivlenieks, #2 :

Custom OT Lines Forwards
, Casey Mittelstadt, Ryan Donato, Kaapo Kakko, Jack Hughes, Troy Terry, Troy Terry, Alexander Volkov, Mitchell Stephens, Philipp Kurashev, Egor Sharangovich

Custom OT Lines Defensemen
, Christian Jaros, Alex Alexeyev, Nelson Nogier,

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
1	Marlies	7	3	4	0	0	0	0	0	17	18	-1	3	2	1	0	0	0	0	0	8	5	3	4	1	3	0	0	0	0	0	9	13	-4	6	0.429	17	29	46	0	0	5	5	5	2	156	41	32	57	26	184	60	108	162	46	7	15.22%	40	3	92.50%	0	69	211	32.70%	72	230	31.30%	45	124	36.29%	189	130	223	61	102	50
	Total	7	3	4	0	0	0	0	0	17	18	-1	3	2	1	0	0	0	0	0	8	5	3	4	1	3	0	0	0	0	0	9	13	-4	6	0.429	17	29	46	0	0	5	5	5	2	156	41	32	57	26	184	60	108	162	46	7	15.22%	40	3	92.50%	0	69	211	32.70%	72	230	31.30%	45	124	36.29%	189	130	223	61	102	50
	_Since Last GM Reset	7	3	4	0	0	0	0	0	17	18	-1	3	2	1	0	0	0	0	0	8	5	3	4	1	3	0	0	0	0	0	9	13	-4	6	0.429	17	29	46	0	0	5	5	5	2	156	41	32	57	26	184	60	108	162	46	7	15.22%	40	3	92.50%	0	69	211	32.70%	72	230	31.30%	45	124	36.29%	189	130	223	61	102	50
	_Vs Conference	7	3	4	0	0	0	0	0	17	18	-1	3	2	1	0	0	0	0	0	8	5	3	4	1	3	0	0	0	0	0	9	13	-4	6	0.429	17	29	46	0	0	5	5	5	2	156	41	32	57	26	184	60	108	162	46	7	15.22%	40	3	92.50%	0	69	211	32.70%	72	230	31.30%	45	124	36.29%	189	130	223	61	102	50

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
7	6	OTL1	17	29	46	156	184	60	108	162	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	17	18

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	8	5

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	9	13

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	3	2	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
46	7	15.22%	40	3	92.50%	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
41	32	57	26	5	5	5	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
69	211	32.70%	72	230	31.30%	45	124	36.29%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
189	130	223	61	102	50

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
1 - 2020-10-24	4	Checkers	2	Marlies	1	W	X	BoxScore
3 - 2020-10-26	12	Checkers	2	Marlies	5	L		BoxScore
5 - 2020-10-28	20	Marlies	3	Checkers	4	W	X	BoxScore
7 - 2020-10-30	28	Marlies	1	Checkers	0	L		BoxScore
9 - 2020-11-01	36	Checkers	2	Marlies	3	L		BoxScore
11 - 2020-11-03	44	Marlies	1	Checkers	4	W		BoxScore
13 - 2020-11-05	52	Checkers	3	Marlies	4	L	X	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	0
Attendance	6,000	2,967
Attendance PCT	100.00%	98.90%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	2989 - 99.63%	100,000$	300,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	2,612,668$	1,942,168$	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
2020	82	46	29	0	4	2	1	0	342	260	82	41	28	11	0	2	0	0	0	186	110	76	41	18	18	0	2	2	1	0	156	150	6	104	342	601	943	0	11	135	120	82	5	2300	754	764	768	17	1705	516	681	1479	369	48	13.01%	267	63	76.40%	3	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
Total Regular Season	82	46	29	0	4	2	1	0	342	260	82	41	28	11	0	2	0	0	0	186	110	76	41	18	18	0	2	2	1	0	156	150	6	104	342	601	943	0	11	135	120	82	5	2300	754	764	768	17	1705	516	681	1479	369	48	13.01%	267	63	76.40%	3	1259	2201	57.20%	854	1767	48.33%	733	1311	55.91%	2426	1887	1629	474	882	476
2020	7	3	4	0	0	0	0	0	17	18	-1	3	2	1	0	0	0	0	0	8	5	3	4	1	3	0	0	0	0	0	9	13	-4	6	17	29	46	0	0	5	5	5	2	156	41	32	57	26	184	60	108	162	46	7	15.22%	40	3	92.50%	0	69	211	32.70%	72	230	31.30%	45	124	36.29%	189	130	223	61	102	50
Total Playoff	7	3	4	0	0	0	0	0	17	18	-1	3	2	1	0	0	0	0	0	8	5	3	4	1	3	0	0	0	0	0	9	13	-4	6	17	29	46	0	0	5	5	5	2	156	41	32	57	26	184	60	108	162	46	7	15.22%	40	3	92.50%	0	69	211	32.70%	72	230	31.30%	45	124	36.29%	189	130	223	61	102	50

	Checkers
	GP: 7 \| W: 3 \| L: 4 GF: 17 \| GA: 18 \| PP%: 15.22% \| PK%: 92.50% GM : Neil \| Morale : 50 \| Team Overall : 61