NorthEastern Junior Hockey League - Nashua Jr Vikings

Nashua Jr Vikings

GP: 0 | W: 0 | L: 0 | T: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : | Morale : 1 | Team Overall : 62

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

Nashua Vikings
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	TA	SP
1	David Tuckerman	0		X			100.00	46	39	62	65	84	74	55	77	81	58	44	62	50	79	76	58	48	62		0
2	Jason Stothart	0		X			100.00	58	19	72	76	73	73	81	67	64	54	49	57	70	74	43	64	50	61		0
3	Mike Rosan	0	X				100.00	55	21	85	71	76	79	76	58	58	47	53	55	70	90	79	59	57	61		0
4	Ethan Hibberd	0			X		100.00	60	37	82	66	75	73	69	69	78	74	57	32	70	94	35	63	38	61		0
5	Noah Davey	0	X				100.00	42	12	73	65	76	79	48	50	22	62	44	83	50	66	86	76	54	61		0
6	Reed Korczynski	0			X		100.00	88	43	57	71	76	82	51	51	49	69	49	55	50	73	69	48	58	61		0
7	Steven Mollema	0			X		100.00	52	38	75	69	71	75	76	79	60	58	70	32	50	62	31	65	60	61		0
8	William Younan	0		X			100.00	57	27	71	73	74	75	87	62	71	63	63	20	70	98	33	54	55	60		0
9	Ryan Emmerling	0	X				100.00	59	38	84	70	71	86	80	60	26	44	69	36	50	92	62	70	55	60		0
10	Todd Falzarano	0	X				100.00	73	25	86	73	70	75	74	47	75	84	22	42	50	90	88	48	55	60		0
11	Ryan Kearbey	0				X	100.00	55	44	68	71	73	84	83	52	18	41	34	62	50	65	54	65	66	62		0
12	Blake Seagrave	0				X	100.00	40	47	83	61	68	74	78	48	33	45	42	77	50	75	68	69	39	62		0
13	Tyler Bristow	0				X	100.00	59	60	69	65	73	74	80	46	26	40	37	59	50	93	77	57	54	61		0
14	Mark Taylor	0				X	100.00	49	52	73	70	72	75	68	55	37	36	47	71	50	59	49	66	56	61		0
15	Ellis Lamberth	0				X	100.00	67	29	67	69	76	89	90	62	87	46	60	22	70	94	72	44	54	60		0
16	Dexter Lampert	0				X	100.00	25	6	98	72	78	90	43	55	25	53	30	44	50	69	96	60	55	58		0
Scratches

	TEAM AVERAGE					100.00	55	34	75	69	74	79	71	59	51	55	48	51	56	80	64	60	53	61

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	TA	SP
1	Benjamin Neilson	100.00	78	75	67	68	71	89	84	84	76	72	50	76	31	70	70	73		0
2	Owen Bucknell-Walsh	100.00	73	84	86	73	77	94	48	83	49	79	50	61	77	80	63	72		0
Scratches
1	Sam Abadie	100.00	83	70	58	69	75	71	69	83	69	73	50	89	30	60	20	69		0

	TEAM AVERAGE	100.00	78	76	70	70	74	85	67	83	65	75	50	75	46	70	51	71

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Link
Benjamin Neilson	Nashua Jr Vikings (Nas)	G	17	2/13/2000	No	159 Lbs	5 ft10	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Blake Seagrave	Nashua Jr Vikings (Nas)	D	16	1/21/2001	No	171 Lbs	5 ft9	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
David Tuckerman	Nashua Jr Vikings (Nas)	LW	17	2/12/2000	No	204 Lbs	6 ft1	No	No	No	5	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Dexter Lampert	Nashua Jr Vikings (Nas)	D	19	7/27/1997	No	207 Lbs	6 ft5	No	No	No	3	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$
Ellis Lamberth	Nashua Jr Vikings (Nas)	D	20	1/8/1997	No	196 Lbs	6 ft5	No	No	No	1	ELC	Pro & Farm	50,000$	0$	0$	No
Ethan Hibberd	Nashua Jr Vikings (Nas)	RW	19	10/19/1997	No	199 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$
Jason Stothart	Nashua Jr Vikings (Nas)	LW	19	5/17/1998	No	180 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$
Mark Taylor	Nashua Jr Vikings (Nas)	D	16	3/2/2001	No	185 Lbs	6 ft1	No	No	No	5	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Mike Rosan	Nashua Jr Vikings (Nas)	C	19	10/17/1997	No	194 Lbs	6 ft5	No	No	No	2	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$
Noah Davey	Nashua Jr Vikings (Nas)	C	17	9/3/1999	No	204 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$
Owen Bucknell-Walsh	Nashua Jr Vikings (Nas)	G	19	4/28/1998	No	177 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$
Reed Korczynski	Nashua Jr Vikings (Nas)	RW	17	8/9/1999	No	198 Lbs	6 ft3	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Ryan Emmerling	Nashua Jr Vikings (Nas)	C	18	2/25/1999	No	180 Lbs	5 ft11	No	No	No	3	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$
Ryan Kearbey	Nashua Jr Vikings (Nas)	D	18	7/16/1998	No	185 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$
Sam Abadie	Nashua Jr Vikings (Nas)	G	17	2/25/2000	No	154 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Steven Mollema	Nashua Jr Vikings (Nas)	RW	16	3/30/2001	No	182 Lbs	6 ft1	No	No	No	5	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
Todd Falzarano	Nashua Jr Vikings (Nas)	C	18	3/28/1999	No	177 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$
Tyler Bristow	Nashua Jr Vikings (Nas)	D	16	5/22/2001	No	193 Lbs	5 ft11	No	No	No	5	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$	50,000$	50,000$	50,000$
William Younan	Nashua Jr Vikings (Nas)	LW	19	8/27/1997	No	186 Lbs	6 ft4	No	No	No	2	ELC	Pro & Farm	50,000$	0$	0$	No	50,000$

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
19	17.74	186 Lbs	6 ft1	3.37	50,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	David Tuckerman	Mike Rosan	Steven Mollema	40	1	2	2
2	Jason Stothart	Noah Davey	Reed Korczynski	30	1	2	2
3	William Younan	Ryan Emmerling	Ethan Hibberd	20	1	2	2
4	David Tuckerman	Todd Falzarano	Steven Mollema	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense		Time %	PHY	DF	OF
1	Blake Seagrave	Ryan Kearbey		40	1	2	2
2	Mark Taylor	Tyler Bristow		30	1	2	2
3	Ellis Lamberth	Dexter Lampert		20	1	2	2
4	Blake Seagrave	Ryan Kearbey		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	David Tuckerman	Mike Rosan	Steven Mollema	60	1	2	2
2	Jason Stothart	Noah Davey	Reed Korczynski	40	1	2	2

Power Play Defense
Line #	Defense	Defense		Time %	PHY	DF	OF
1	Blake Seagrave	Ryan Kearbey		60	1	2	2
2	Mark Taylor	Tyler Bristow		40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	David Tuckerman	Steven Mollema	60	1	2	2
2	Jason Stothart	Mike Rosan	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Blake Seagrave	Ryan Kearbey	60	1	2	2
2	Mark Taylor	Tyler Bristow	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	David Tuckerman	60	1	2	2	Blake Seagrave	Ryan Kearbey	60	1	2	2
2	Steven Mollema	40	1	2	2	Mark Taylor	Tyler Bristow	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	David Tuckerman	Steven Mollema	60	1	2	2
2	Jason Stothart	Mike Rosan	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Blake Seagrave	Ryan Kearbey	60	1	2	2
2	Mark Taylor	Tyler Bristow	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
David Tuckerman	Mike Rosan	Steven Mollema	Blake Seagrave	Ryan Kearbey

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
David Tuckerman	Mike Rosan	Steven Mollema	Blake Seagrave	Ryan Kearbey

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ethan Hibberd, Ryan Emmerling, Todd Falzarano	Ethan Hibberd, Ryan Emmerling	Todd Falzarano

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ellis Lamberth, Dexter Lampert, Mark Taylor	Ellis Lamberth	Dexter Lampert, Mark Taylor

Penalty Shots
David Tuckerman, Steven Mollema, Jason Stothart, Mike Rosan, Reed Korczynski

Goalie
#1 : Benjamin Neilson, #2 : Owen Bucknell-Walsh

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	T	GF	GA
0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	T
0	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0.00%	0	0	0.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0.00%	0	0	0.00%	0	0	0.00%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link

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

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
36	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	95,000$	95,000$	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

Back to the Top