Profi League - Barons

Oilers
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	Devin Shore (R)	X	X			100.00	82	75	78	73	57	52	67	64	80	39	44	63	61	44	44	0	51	59	0
2	Michael Chaput	X	X			100.00	69	76	63	65	58	71	67	61	78	40	41	59	50	50	50	0	52	57	0
3	Bogdan Yakimov	X				100.00	87	87	78	66	60	62	62	57	78	34	33	64	50	44	44	0	52	56	0
4	Borna Rendulic		X	X		100.00	60	75	63	81	57	64	63	58	73	34	36	61	50	45	45	0	45	55	0
5	Frederik Gauthier (R)	X				100.00	86	81	78	63	59	54	60	56	73	32	32	62	50	44	44	0	49	54	0
6	Oskar Sundqvist (R)	X	X	X		100.00	62	44	67	62	59	53	61	61	79	41	39	59	50	45	45	0	51	54	0
7	Ryan Carpenter			X		100.00	58	68	60	59	52	69	66	61	75	41	38	58	50	44	44	0	48	54	0
8	Vinny Saponari			X		100.00	79	71	76	66	54	48	59	56	69	35	30	55	50	44	44	0	51	53	0
9	Blake Pietila (R)		X	X		100.00	71	69	74	66	53	53	60	55	64	29	34	60	50	44	44	0	51	52	0
10	Alex Friesen	X				100.00	56	65	59	60	50	66	64	59	67	33	35	55	50	44	44	0	51	51	0
11	Blair Riley		X			100.00	57	77	57	60	58	65	63	54	65	28	33	53	50	44	44	0	51	50	0
12	Kelly Zajac	X				100.00	61	65	69	62	50	49	59	52	57	27	27	56	50	44	44	0	51	48	0
13	Christian Ehrhoff				X	100.00	70	50	78	81	83	71	72	74	25	44	40	72	50	87	87	0	48	68	0
14	Joe Morrow				X	100.00	68	43	89	81	70	71	62	71	25	42	40	71	50	50	50	0	51	62	0
15	Anthony Bitetto				X	100.00	77	68	78	73	74	60	74	57	25	42	39	71	50	49	49	0	51	61	0
16	Jerome Leduc				X	100.00	79	71	93	66	68	88	89	51	25	30	33	61	50	48	48	0	50	60	0
17	Andrey Pedan				X	100.00	80	99	61	71	64	61	68	68	25	37	37	69	50	49	45	0	56	59	0
18	Jesse Blacker				X	100.00	56	71	62	65	58	64	68	57	25	30	27	55	50	45	45	0	51	51	0
Scratches
1	Chris DeSousa	X				100.00	57	67	59	66	51	53	60	53	59	28	31	53	50	44	44	0	51	49	0
2	Brian Strait				X	100.00	79	56	80	75	72	70	72	58	25	41	38	76	50	61	62	0	43	63	0
3	David Shields				X	100.00	61	76	69	63	61	62	66	61	25	31	32	63	50	49	44	0	41	54	0
4	Reid McNeill				X	100.00	60	81	66	62	63	67	69	56	25	29	26	59	50	47	47	0	49	53	0

	TEAM AVERAGE					100.00	69	70	71	68	61	62	66	59	52	35	35	62	51	48	48	0	50	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	Spencer Martin (R)	98.00	70	74	86	78	80	67	73	65	61	69	49	55	55	0	51	67	0
2	Vitek Vanecek (R)	100.00	67	78	85	84	71	77	66	72	68	40	48	60	58	0	51	66	0
Scratches
1	Roman Will (R)	100.00	59	70	67	63	68	67	64	61	61	62	50	55	55	0	46	61	0

	TEAM AVERAGE	99.33	65	74	79	75	73	70	68	66	63	57	49	57	56	0	49	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kirk Muller	58	53	53	61	51	50	49	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	Joe Morrow	Barons (EDM)		D	4	0	4	4	0	0	0	4	16	13	13	0.00%	11	24.:.16	0	2	2	0	1	1	7	0	0	0.00%	0	3	7	0	0	0.82	0
2	Christian Ehrhoff	Barons (EDM)		D	4	3	0	3	0	2	0	5	28	12	11	10.71%	10	25.:.34	1	0	1	1	0	1	6	2	0	0.00%	0	9	6	0	0	0.59	0
3	Oskar Sundqvist	Barons (EDM)		C/LW/RW	4	2	0	2	0	0	0	3	11	5	8	18.18%	1	16.:.25	1	0	1	0	0	0	1	0	0	20.00%	5	9	1	0	0	0.61	0
4	Bogdan Yakimov	Barons (EDM)		C	4	0	2	2	0	5	5	11	11	5	0	0.00%	0	15.:.34	0	1	1	0	0	0	0	0	0	49.02%	51	4	6	0	0	0.64	0
5	Anthony Bitetto	Barons (EDM)		D	4	1	1	2	-2	2	0	8	6	8	7	16.67%	4	21.:.03	1	1	2	0	0	0	6	0	0	0.00%	0	7	6	0	0	0.47	0
6	Borna Rendulic	Barons (EDM)		LW/RW	4	0	1	1	0	10	10	7	9	6	8	0.00%	3	16.:.41	0	1	1	0	0	0	0	0	0	50.00%	2	8	1	0	0	0.30	0
7	Devin Shore	Barons (EDM)		C/LW	4	1	0	1	-2	0	0	11	14	6	14	7.14%	1	18.:.47	1	0	1	0	0	0	0	0	0	43.37%	83	12	4	0	0	0.27	0
8	Andrey Pedan	Barons (EDM)		D	4	0	1	1	-2	21	15	10	14	4	11	0.00%	3	19.:.14	0	1	1	0	0	0	5	0	0	0.00%	0	7	4	0	0	0.26	0
9	Frederik Gauthier	Barons (EDM)		C	4	0	0	0	1	10	10	9	9	1	6	0.00%	0	14.:.51	0	0	0	0	0	0	7	0	0	41.67%	36	0	4	0	0	0.00	0
10	Blake Pietila	Barons (EDM)		LW/RW	4	0	0	0	-1	0	0	9	3	2	3	0.00%	5	12.:.31	0	0	0	0	0	0	0	0	0	0.00%	0	2	2	0	0	0.00	0
11	Chris DeSousa	Barons (EDM)		C	2	0	0	0	0	0	0	2	1	0	0	0.00%	0	10.:.01	0	0	0	0	0	0	0	0	0	0.00%	1	3	2	0	0	0.00	0
12	Jerome Leduc	Barons (EDM)		D	4	0	0	0	-2	0	0	6	2	1	1	0.00%	7	15.:.51	0	0	0	0	0	0	0	0	0	0.00%	0	3	5	0	0	0.00	0
13	Ryan Carpenter	Barons (EDM)		RW	2	0	0	0	-2	0	0	2	1	0	2	0.00%	0	18.:.17	0	0	0	0	0	0	0	0	0	0.00%	1	1	1	0	0	0.00	0
14	David Shields	Barons (EDM)		D	2	0	0	0	0	25	15	1	7	0	0	0.00%	1	14.:.36	0	0	0	0	0	0	0	0	0	0.00%	0	1	1	0	0	0.00	0
15	Alex Friesen	Barons (EDM)		C	4	0	0	0	-1	0	0	5	3	1	5	0.00%	0	11.:.10	0	0	0	0	0	0	6	0	0	47.37%	19	1	2	0	0	0.00	0
16	Michael Chaput	Barons (EDM)		C/LW	4	0	0	0	-2	5	5	9	8	6	7	0.00%	0	18.:.14	0	0	0	0	0	0	0	0	0	25.00%	4	10	2	0	0	0.00	0
17	Vinny Saponari	Barons (EDM)		RW	4	0	0	0	0	0	0	8	5	4	2	0.00%	1	12.:.47	0	0	0	0	0	0	0	0	0	50.00%	2	2	0	0	0	0.00	0
18	Kelly Zajac	Barons (EDM)		C	4	0	0	0	-1	2	0	2	1	0	1	0.00%	0	12.:.08	0	0	0	0	0	0	4	0	0	50.00%	8	1	2	0	0	0.00	0
19	Jesse Blacker	Barons (EDM)		D	4	0	0	0	0	2	0	4	2	1	4	0.00%	0	16.:.08	0	0	0	0	0	0	1	0	0	0.00%	0	1	2	0	0	0.00	0
20	Blair Riley	Barons (EDM)		LW	4	0	0	0	0	2	0	4	4	0	2	0.00%	0	14.:.08	0	0	0	0	0	0	5	0	0	33.33%	3	2	2	0	0	0.00	0
Team Total or Average		74	7	9	16	-14	86	60	120	99	155	75	105	4.52%	47	1227	16.59	4	6	10	14	43	1	1	2	1	53	2	0	43.72%	215	86	60	0	0.26	0	0	1	4	7	1	0	2

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	PS %	PSA	ST	BG	S1	S2	S3
1	Spencer Martin	Barons (EDM)	3	1	2	0	92.5%	2.33	180	0	0	7	93	56	0	0.0%	0	3	1	0	0	1
2	Vitek Vanecek	Barons (EDM)	1	1	0	0	97.6%	0.97	62	0	0	1	42	22	0	0.0%	0	1	3	1	0	0
Team Total or Average	4	2	2	0	0.941	1.98	242	0	0	8	135	78	0	0	0.000	4	4	1	0	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	Force Waivers	Contract	Type	Current Salary	Salary Remaining	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
Alex Friesen	C	25	30.01.1991 9:08:42	No	185 Lbs	5 ft9	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Link
Andrey Pedan	D	23	07.07.1993 9:09:42	No	214 Lbs	6 ft5	No	No	2	Pro & Farm	900,000$	0$	900,000$									Link
Anthony Bitetto	D	26	15.07.1990	No	210 Lbs	6 ft1	No	No	1	Pro & Farm	1,200,000$	0$										Link
Blair Riley	LW	30	01.11.1985	No	217 Lbs	6 ft0	No	No	5	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$						Link
Blake Pietila	LW/RW	23	20.02.1993 2:14:32	Yes	190 Lbs	5 ft11	No	No	2	Pro & Farm	800,000$	0$	800,000$									Link
Bogdan Yakimov	C	22	04.10.1994	No	232 Lbs	6 ft5	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Link
Borna Rendulic	LW/RW	24	25.03.1992 2:03:00	No	200 Lbs	6 ft2	No	No	1	Pro & Farm	900,000$	0$										Link
Brian Strait	D	28	04.01.1988	No	209 Lbs	6 ft1	No	No	1	Pro & Farm	1,500,000$	0$										Link
Chris DeSousa	C	26	19.10.1990	No	190 Lbs	5 ft9	No	No	1	Pro & Farm	1,100,000$	0$										Link
Christian Ehrhoff	D	34	06.07.1982	No	205 Lbs	6 ft2	No	No	2	Pro & Farm	1,500,000$	0$	1,500,000$									Link
David Shields	D	25	27.01.1991 0:02:20	No	204 Lbs	6 ft3	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Link
Devin Shore	C/LW	22	19.07.1994	Yes	205 Lbs	6 ft1	No	No	9	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$		Link
Frederik Gauthier	C	21	26.04.1995 15:17:04	Yes	214 Lbs	6 ft5	No	No	3	Pro & Farm	900,000$	0$	900,000$	900,000$								Link
Jerome Leduc	D	24	30.07.1992 15:25:34	No	192 Lbs	6 ft1	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Link
Jesse Blacker	D	25	10.08.1991	No	190 Lbs	6 ft1	No	No	6	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$					Link
Joe Morrow	D	23	09.12.1992 9:12:10	No	204 Lbs	6 ft1	No	No	1	Pro & Farm	1,000,000$	0$										Link
Kelly Zajac	C	28	06.06.1988	No	181 Lbs	5 ft10	No	No	1	Pro & Farm	1,100,000$	0$										Link
Michael Chaput	C/LW	24	09.04.1992 9:12:56	No	197 Lbs	6 ft2	No	No	2	Pro & Farm	1,000,000$	0$	1,000,000$									Link
Oskar Sundqvist	C/LW/RW	22	23.03.1994 15:19:02	Yes	209 Lbs	6 ft3	No	No	2	Pro & Farm	900,000$	0$	900,000$									Link
Reid McNeill	D	24	29.04.1992 3:24:42	No	215 Lbs	6 ft4	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Link
Roman Will	G	24	22.05.1992	Yes	195 Lbs	6 ft1	No	No	10	Pro & Farm	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link
Ryan Carpenter	RW	25	18.01.1991	No	180 Lbs	6 ft1	No	No	1	Pro & Farm	600,000$	0$										Link
Spencer Martin	G	21	07.06.1995	Yes	200 Lbs	6 ft3	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	Link
Vinny Saponari	RW	26	15.02.1990 11:32:40	No	196 Lbs	6 ft0	No	No	7	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$				Link
Vitek Vanecek	G	20	09.01.1996 0:01:27	Yes	181 Lbs	6 ft1	No	No	10	Farm Only	100,000$	0$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$	100,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
25	24.60	201 Lbs	6 ft1	4.48	584,000$

5 vs 5 Forward
Line #	Center	Left Wing	Right Wing	Time %	PHY	DF	OF
1	Devin Shore	Michael Chaput	Ryan Carpenter	40	1	2	2
2	Bogdan Yakimov	Oskar Sundqvist	Borna Rendulic	30	1	2	2
3	Frederik Gauthier	Blair Riley	Vinny Saponari	20	1	2	2
4	Alex Friesen	Kelly Zajac	Blake Pietila	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Christian Ehrhoff	Joe Morrow	40	1	2	2
2	Anthony Bitetto	Andrey Pedan	30	1	2	2
3	Jerome Leduc	Jesse Blacker	20	1	2	2
4	Christian Ehrhoff	Joe Morrow	10	1	2	2

Power Play Forward
Line #	Center	Left Wing	Right Wing	Time %	PHY	DF	OF
1	Devin Shore	Michael Chaput	Ryan Carpenter	60	1	2	2
2	Bogdan Yakimov	Oskar Sundqvist	Borna Rendulic	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Christian Ehrhoff	Joe Morrow	60	1	2	2
2	Anthony Bitetto	Andrey Pedan	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Frederik Gauthier	Alex Friesen	50	1	2	2
2	Kelly Zajac	Blair Riley	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Christian Ehrhoff	Joe Morrow	50	1	2	2
2	Anthony Bitetto	Andrey Pedan	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Frederik Gauthier	50	1	2	2	Christian Ehrhoff	Joe Morrow	50	1	2	2
2	Alex Friesen	50	1	2	2	Anthony Bitetto	Andrey Pedan	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Devin Shore	Michael Chaput	60	1	2	2
2	Bogdan Yakimov	Ryan Carpenter	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Christian Ehrhoff	Joe Morrow	60	1	2	2
2	Anthony Bitetto	Andrey Pedan	40	1	2	2

Last Minutes Offensive
Center	Left Wing	Right Wing	Defense	Defense
Devin Shore	Michael Chaput	Ryan Carpenter	Christian Ehrhoff	Joe Morrow

Last Minutes Defensive
Center	Left Wing	Right Wing	Defense	Defense
Devin Shore	Michael Chaput	Borna Rendulic	Christian Ehrhoff	Joe Morrow

Extra Forwards
Normal	PowerPlay	Penalty Kill
Kelly Zajac, Ryan Carpenter, Frederik Gauthier	Kelly Zajac, Ryan Carpenter	Frederik Gauthier

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Christian Ehrhoff, Joe Morrow, Anthony Bitetto	Jerome Leduc	Jesse Blacker, Anthony Bitetto

Penalty Shots
Devin Shore, Michael Chaput, Bogdan Yakimov, Borna Rendulic, Frederik Gauthier

Goalie
#1 : Spencer Martin, #2 : Vitek Vanecek

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	OTW	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	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	Crunch	1	0	1	0	1	2	-1	0	0.000	1	1	2	3	3	1	39	67	44	41	1	42	13	26	29	3	1	33.33%	3	1	66.67%	0	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
2	Rampage	1	1	0	0	2	1	1	2	1.000	2	2	4	3	3	1	49	67	44	41	1	17	2	2	29	2	1	50.00%	1	1	0.00%	0	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
3	Comets	1	0	1	0	2	4	-2	0	0.000	2	3	5	3	3	1	32	67	44	41	1	34	11	16	27	1	1	100.00%	3	1	66.67%	0	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
4	Stars	1	0	0	1	2	1	1	2	1.000	2	3	5	3	3	1	33	67	44	41	1	42	18	42	31	1	1	100.00%	3	0	100.00%	1	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
	Vs Conference	2	0	1	1	4	5	-1	2	0.500	4	6	10	3	3	1	65	67	44	41	1	76	29	58	58	2	2	100.00%	6	1	83.33%	1	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
	Since Last GM Reset	4	1	2	1	7	8	-1	4	0.500	7	9	16	3	3	1	153	67	44	41	1	135	44	86	116	7	4	57.14%	10	3	70.00%	1	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32
	Total	4	1	2	1	7	8	-1	4	0.500	7	9	16	3	3	1	153	67	44	41	1	135	44	86	116	7	4	57.14%	10	3	70.00%	1	40	83	48.19%	27	74	36.49%	27	58	46.55%	88	53	90	32	64	32

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	4	L2	7	9	16	153	135	44	86	116	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	2	1	0	0	0	7	8

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	0	1	0	0	0	4	2

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	6

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	2	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
7	4	57.14%	10	3	70.00%	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
67	44	41	1	3	3	0	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
40	83	48.19%	27	74	36.49%	27	58	46.55%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
88	53	90	32	64	32

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
Trade Deadline --- Trades can’t be done after this day is simulated!
Sun, Apr 20	@	Rampage1,Barons2	RECAP
Mon, Apr 21	@	Stars1,Barons2 (OT)	RECAP
Thu, Apr 24	@	Barons1,Crunch2	RECAP
Fri, Apr 25	@	Barons2,Comets4	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
0	0 - 0.00%	0$	0$	3000	100

Expenses
Players Total Salaries	Players Total Average Salaries	Coaches Salaries
1,450,000$	710,000$	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