Profi League - Checkers

Hurricanes
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

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	Erik Condra		X	X		100.00	59	41	66	77	81	72	69	67	61	41	43	68	50	67	69	0	71	62	0
2	Dustin Jeffrey	X	X			100.00	75	75	78	60	57	67	70	66	85	44	41	65	56	59	59	0	62	60	0
3	Austin Watson	X		X		100.00	69	66	66	77	57	52	72	64	58	41	39	65	50	51	51	0	78	58	0
4	Bobby Farnham		X	X		100.00	74	99	58	72	54	52	69	66	60	38	43	60	50	51	51	0	77	57	0
5	Corey Tropp (R)		X	X		100.00	58	68	60	73	52	67	66	59	71	36	36	57	50	60	61	0	67	55	0
6	Chris Bourque		X			100.00	55	60	59	67	49	71	66	63	69	43	42	57	59	49	49	0	60	55	0
7	John Albert	X				100.00	75	69	75	64	53	67	66	59	71	35	35	58	50	45	45	0	81	55	0
8	Eric O'Dell	X				100.00	71	54	53	64	54	51	66	65	56	37	40	60	47	57	63	0	71	55	0
9	Adrian Kempe (R)		X	X		100.00	66	75	72	72	57	53	60	56	73	34	35	62	50	44	44	0	84	54	0
10	Brian Ferlin			X		100.00	61	76	63	63	58	60	61	58	76	34	35	60	50	44	44	0	69	53	0
11	Mario Lucia (R)		X			100.00	73	73	75	61	56	64	63	54	65	28	33	55	50	50	50	0	42	53	0
12	Justin Vaive		X			100.00	65	78	63	62	59	66	64	55	66	28	34	58	50	44	44	0	67	52	0
13	Derek Forbort				X	100.00	65	88	69	77	79	55	76	64	25	39	40	70	50	59	59	0	85	62	0
14	Michal Jordan				X	100.00	67	43	85	78	69	69	74	64	25	38	39	72	50	53	53	0	72	61	0
15	Michael Kostka				X	100.00	64	42	87	67	73	69	83	57	25	39	37	71	90	55	56	0	81	60	0
16	Matt Taormina				X	100.00	70	65	89	71	66	85	84	52	25	40	36	61	50	50	50	0	81	60	0
17	Gustav Olofsson (R)				X	100.00	61	74	69	74	60	60	64	60	25	33	29	63	50	55	55	0	65	55	0
18	Rasmus Rissanen				X	100.00	60	80	66	73	63	66	69	58	25	29	29	59	50	47	47	0	74	54	0
Scratches
1	Emile Poirier (R)		X	X		100.00	58	69	60	68	53	66	63	57	69	33	35	56	50	44	44	0	57	52	0
2	Brennan Evans				X	100.00	60	83	66	59	64	63	67	53	25	24	26	59	50	47	47	0	42	51	0

	TEAM AVERAGE					100.00	65	69	69	69	61	64	69	60	53	36	36	62	53	52	52	0	69	56

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	Michael Hutchinson	100.00	69	76	86	79	68	84	69	70	72	83	50	72	66	0	80	72	0
2	Michael Leighton	100.00	73	86	79	77	80	71	65	69	64	75	54	55	55	0	81	69	0
Scratches
1	Patrick Killeen	100.00	60	50	56	86	72	65	61	60	60	63	71	47	63	0	19	63	0

	TEAM AVERAGE	100.00	67	71	74	81	73	73	65	66	65	74	58	58	61	0	60	68

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bill Peters	92	77	73	88	73	72	70	CAN	50	5	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	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSS
1	Michal Jordan	Checkers (CAR)		D	7	2	5	7	-7	4	0	15	24	13	5	8.33%	32	26.:.50	0	1	1	0	3	3	17	1	0	0.00%	0	10	18	0	0	0.74	0
2	Austin Watson	Checkers (CAR)		C/RW	7	2	5	7	-3	2	0	17	23	5	19	8.70%	6	20.:.17	0	1	1	2	1	3	13	0	0	48.75%	80	24	5	0	0	0.99	0
3	Michael Kostka	Checkers (CAR)		D	7	0	6	6	1	0	0	3	24	6	7	0.00%	20	21.:.42	0	3	3	0	1	1	12	0	0	0.00%	0	5	15	0	0	0.79	0
4	Matt Taormina	Checkers (CAR)		D	7	2	2	4	0	0	0	4	9	4	4	22.22%	12	23.:.15	0	1	1	1	0	1	12	0	0	0.00%	0	2	7	0	0	0.49	0
5	Dustin Jeffrey	Checkers (CAR)		C/LW	6	2	2	4	-4	0	0	14	22	4	7	9.09%	4	21.:.48	0	1	1	1	0	1	20	1	0	50.82%	122	2	11	0	0	0.61	0
6	Eric O'Dell	Checkers (CAR)		C	7	4	0	4	-5	8	0	17	30	8	27	13.33%	3	17.:.34	3	0	3	0	0	0	4	0	1	52.48%	101	13	5	0	1	0.65	0
7	Corey Tropp	Checkers (CAR)		LW/RW	7	1	2	3	-5	2	0	7	15	5	14	6.67%	1	18.:.00	1	2	3	0	0	0	0	0	0	80.00%	5	17	2	0	0	0.48	0
8	Chris Bourque	Checkers (CAR)		LW	7	3	0	3	-1	4	0	8	20	7	16	15.00%	2	15.:.03	0	0	0	0	0	0	0	0	0	40.00%	5	21	3	0	0	0.57	0
9	John Albert	Checkers (CAR)		C	7	0	3	3	3	0	0	12	11	6	8	0.00%	4	16.:.21	0	0	0	0	1	1	7	0	0	58.97%	78	2	1	0	0	0.52	0
10	Bobby Farnham	Checkers (CAR)		LW/RW	7	2	1	3	-5	86	50	18	15	11	15	13.33%	1	16.:.14	1	1	2	0	0	0	3	1	0	60.00%	5	13	2	0	0	0.53	0
11	Erik Condra	Checkers (CAR)		LW/RW	4	1	2	3	-3	0	0	8	14	8	12	7.14%	2	21.:.16	1	1	2	0	1	1	13	0	0	54.17%	24	13	3	0	0	0.71	1
12	Derek Forbort	Checkers (CAR)		D	7	0	2	2	-7	63	25	6	10	14	11	0.00%	25	22.:.55	0	0	0	0	0	0	12	0	0	0.00%	0	12	13	0	0	0.25	0
13	Brian Ferlin	Checkers (CAR)		RW	7	0	1	1	-1	5	5	10	8	5	4	0.00%	3	11.:.36	0	0	0	0	0	0	0	0	0	0.00%	1	2	4	0	0	0.25	0
14	Adrian Kempe	Checkers (CAR)		LW/RW	7	0	1	1	-1	15	15	11	7	4	4	0.00%	3	15.:.17	0	0	0	0	0	0	0	0	0	33.33%	3	8	5	0	0	0.19	0
15	Gustav Olofsson	Checkers (CAR)		D	7	0	1	1	-3	0	0	5	6	3	7	0.00%	6	16.:.35	0	0	0	0	0	0	0	0	0	0.00%	0	2	8	0	0	0.17	0
16	Justin Vaive	Checkers (CAR)		LW	5	0	0	0	0	0	0	3	4	1	3	0.00%	2	07.:.43	0	0	0	0	0	0	0	0	0	50.00%	4	1	3	0	0	0.00	0
17	Rasmus Rissanen	Checkers (CAR)		D	7	0	0	0	0	37	35	7	7	3	4	0.00%	8	14.:.55	0	0	0	0	0	0	7	0	0	0.00%	0	2	1	0	0	0.00	0
18	Emile Poirier	Checkers (CAR)		LW/RW	6	0	0	0	0	5	5	7	5	3	9	0.00%	1	10.:.19	0	0	0	0	0	0	0	0	0	33.33%	3	8	1	0	0	0.00	0
19	Mario Lucia	Checkers (CAR)		LW	7	0	0	0	-3	0	0	5	5	1	6	0.00%	0	08.:.55	0	0	0	0	0	0	0	0	0	100.00%	1	1	0	0	0	0.00	0
Team Total or Average			126	19	33	52	-44	231	135	177	166	259	111	182	7.34%	135	2175	17.27	6	11	17	32	178	4	7	11	8	126	3	1	52.55%	432	158	107	1	0.48	0	1	13	6	8	2	2	4

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	Michael Hutchinson	Checkers (CAR)	7	3	4	0	90.4%	3.54	441	0	0	26	270	153	0	0	0.0%	0	7	0	1	0	0
Team Total or Average		7	3	4	0	0.904	3.54	441	0	0	26	270	153	0	0	0.000	0	7	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	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Force Waivers	Contract	Status	Type	Current Salary	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
Adrian Kempe	Checkers (CAR)	LW/RW	20	13.9.1996	Yes	203 Lbs	6 ft2	No	No	9	ELC	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Link
Austin Watson	Checkers (CAR)	C/RW	25	13.1.1992 4:27:35	No	193 Lbs	6 ft4	No	No	2	RFA	Pro & Farm	1,000,000$	1,000,000$									Link
Bobby Farnham	Checkers (CAR)	LW/RW	28	21.1.1989	No	190 Lbs	5 ft10	No	No	1	UFA	Pro & Farm	800,000$										Link
Brennan Evans	Checkers (CAR)	D	35	6.1.1982	No	223 Lbs	6 ft4	No	No	5	UFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$						Link
Brian Ferlin	Checkers (CAR)	RW	24	3.6.1992 0:52:08	No	209 Lbs	6 ft2	No	No	1	RFA	Pro & Farm	900,000$										Link
Chris Bourque	Checkers (CAR)	LW	31	29.1.1986	No	174 Lbs	5 ft8	No	No	1	UFA	Pro & Farm	700,000$										Link
Corey Tropp	Checkers (CAR)	LW/RW	27	25.7.1989	Yes	185 Lbs	6 ft0	No	No	2	UFA	Pro & Farm	900,000$	900,000$									Link
Derek Forbort	Checkers (CAR)	D	25	4.3.1992 2:35:10	No	212 Lbs	6 ft4	No	No	1	RFA	Pro & Farm	1,300,000$										Link
Dustin Jeffrey	Checkers (CAR)	C/LW	29	27.2.1988	No	205 Lbs	6 ft1	No	No	1	UFA	Pro & Farm	800,000$										Link
Emile Poirier	Checkers (CAR)	LW/RW	22	14.12.1994 0:53:48	Yes	185 Lbs	6 ft1	No	No	2	ELC	Pro & Farm	800,000$	800,000$									Link
Eric O'Dell	Checkers (CAR)	C	25	21.6.1991 18:51:31	No	185 Lbs	6 ft0	No	No	2	RFA	Pro & Farm	700,000$	700,000$									Link
Erik Condra	Checkers (CAR)	LW/RW	30	6.8.1986	No	190 Lbs	6 ft0	No	No	2	UFA	Pro & Farm	1,000,000$	1,000,000$									Link
Gustav Olofsson	Checkers (CAR)	D	22	30.11.1994	Yes	191 Lbs	6 ft4	No	No	10	ELC	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link
John Albert	Checkers (CAR)	C	28	19.1.1989 5:01:18	No	190 Lbs	5 ft11	No	No	2	UFA	Pro & Farm	900,000$	900,000$									Link
Justin Vaive	Checkers (CAR)	LW	27	8.7.1989 23:57:27	No	209 Lbs	6 ft4	No	No	6	UFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$					Link
Mario Lucia	Checkers (CAR)	LW	23	25.8.1993 23:56:43	Yes	205 Lbs	6 ft3	No	No	10	RFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$
Matt Taormina	Checkers (CAR)	D	30	20.10.1986	No	182 Lbs	5 ft10	No	No	2	UFA	Pro & Farm	800,000$	800,000$									Link
Michael Hutchinson (1 Way Contract)	Checkers (CAR)	G	27	2.3.1990	No	202 Lbs	6 ft3	No	No	2	UFA	Pro & Farm	1,700,000$	1,700,000$									Link
Michael Kostka	Checkers (CAR)	D	31	28.11.1985	No	210 Lbs	6 ft1	No	No	2	UFA	Pro & Farm	1,100,000$	1,100,000$									Link
Michael Leighton	Checkers (CAR)	G	36	19.1.1981	No	186 Lbs	6 ft3	No	No	1	UFA	Pro & Farm	700,000$										Link
Michal Jordan	Checkers (CAR)	D	26	17.7.1990	No	195 Lbs	6 ft1	No	No	1	RFA	Pro & Farm	1,500,000$										Link
Patrick Killeen	Checkers (CAR)	G	27	15.4.1990 15:04:03	No	205 Lbs	6 ft4	No	No	5	UFA	Farm Only	100,000$	100,000$	100,000$	100,000$	100,000$
Rasmus Rissanen	Checkers (CAR)	D	25	13.7.1991 9:01:01	No	217 Lbs	6 ft3	No	No	1	RFA	Pro & Farm	900,000$										Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	27.09	198 Lbs	6 ft2	3.09	743,478$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Erik Condra	Dustin Jeffrey	Austin Watson	40	1	2	2
2	Bobby Farnham	Eric O'Dell	Corey Tropp	30	1	2	2
3	Chris Bourque	John Albert	Adrian Kempe	20	1	2	2
4	Mario Lucia	Erik Condra	Brian Ferlin	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Derek Forbort	Michal Jordan	40	1	2	2
2	Matt Taormina	Michael Kostka	30	1	2	2
3	Gustav Olofsson	Rasmus Rissanen	20	1	2	2
4	Derek Forbort	Michal Jordan	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Erik Condra	Dustin Jeffrey	Austin Watson	60	1	2	2
2	Bobby Farnham	Eric O'Dell	Corey Tropp	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Derek Forbort	Michal Jordan	60	1	2	2
2	Matt Taormina	Michael Kostka	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Erik Condra	Dustin Jeffrey	60	1	2	2
2	Austin Watson	Bobby Farnham	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Derek Forbort	Michal Jordan	60	1	2	2
2	Matt Taormina	Michael Kostka	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Erik Condra	60	1	2	2	Derek Forbort	Michal Jordan	60	1	2	2
2	Dustin Jeffrey	40	1	2	2	Matt Taormina	Michael Kostka	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Erik Condra	Dustin Jeffrey	60	1	2	2
2	Austin Watson	Bobby Farnham	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Derek Forbort	Michal Jordan	60	1	2	2
2	Matt Taormina	Michael Kostka	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Erik Condra	Dustin Jeffrey	Austin Watson	Derek Forbort	Michal Jordan

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Erik Condra	Dustin Jeffrey	Austin Watson	Derek Forbort	Michal Jordan

Extra Forwards
Normal	PowerPlay	Penalty Kill
Justin Vaive, Chris Bourque, John Albert	Justin Vaive, Chris Bourque	John Albert

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Gustav Olofsson, Rasmus Rissanen, Matt Taormina	Gustav Olofsson	Rasmus Rissanen, Matt Taormina

Penalty Shots
Erik Condra, Dustin Jeffrey, Austin Watson, Bobby Farnham, Corey Tropp

Goalie
#1 : Michael Hutchinson, #2 : Michael Leighton

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

#	VS Team	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	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	Senators	7	3	4	19	26	-7	6	0.429	19	33	52	7	8	3	1	259	98	79	72	10	270	135	231	177	22	6	27.27%	19	5	73.68%	4	88	164	53.66%	89	171	52.05%	50	97	51.55%	157	94	169	59	114	58
	Vs Division	7	3	4	19	26	-7	6	0.429	19	33	52	7	8	3	1	259	98	79	72	10	270	135	231	177	22	6	27.27%	19	5	73.68%	4	88	164	53.66%	89	171	52.05%	50	97	51.55%	157	94	169	59	114	58
	Vs Conference	7	3	4	19	26	-7	6	0.429	19	33	52	7	8	3	1	259	98	79	72	10	270	135	231	177	22	6	27.27%	19	5	73.68%	4	88	164	53.66%	89	171	52.05%	50	97	51.55%	157	94	169	59	114	58
	Since Last GM Reset	7	3	4	19	26	-7	6	0.429	19	33	52	7	8	3	1	259	98	79	72	10	270	135	231	177	22	6	27.27%	19	5	73.68%	4	88	164	53.66%	89	171	52.05%	50	97	51.55%	157	94	169	59	114	58
	Total	7	3	4	19	26	-7	6	0.429	19	33	52	7	8	3	1	259	98	79	72	10	270	135	231	177	22	6	27.27%	19	5	73.68%	4	88	164	53.66%	89	171	52.05%	50	97	51.55%	157	94	169	59	114	58

			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	L2	19	33	52	259	270	135	231	177	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	19	26

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	2	2	0	0	0	0	10	12

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	9	14

Last 10 Games
W	L	OTW	OTL	SOW	SOL
2	4	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
22	6	27.27%	19	5	73.68%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
98	79	72	10	7	8	3	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
88	164	53.66%	89	171	52.05%	50	97	51.55%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
157	94	169	59	114	58

Last Played Games

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

Date		Result	Detail
Sat, Nov 23	@	Senators5,Checkers3	RECAP
Mon, Nov 25	@	Senators1,Checkers2 (OT)	RECAP
Wed, Nov 27	@	Checkers2,Senators4	RECAP
Fri, Nov 29	@	Checkers4,Senators3	RECAP
Sun, Dec 1	@	Senators3,Checkers4	RECAP
Tue, Dec 3	@	Checkers3,Senators7	RECAP
Thu, Dec 5	@	Senators3,Checkers1	RECAP

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
37	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,540,000$	780,000$	0$

Year To Date Expenses	Salary Cap Per Days	Salary Cap To Date
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