Sharks
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule

Team Leaders

Team Stats

Team Info
	General Manager	Russ
	Coach	Marc Crawford
	Division	Pacific
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	21
	Contract Limit	45 / 250
	Prospects	37

Show or Hide Columns

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	Charlie Coyle	0	X				100.00	93	94	59	87	99	82	82	77	82	92	82	87	47	27	57	3	87	74	0	24	2	750,000$
2	Logan Couture	0	X				100.00	79	76	99	83	85	80	80	91	85	76	81	79	81	71	69	87	87	74	2	20	1	1,241,667$
3	Torrey Mitchell	0	X				100.00	85	94	94	95	83	83	83	79	76	77	69	83	69	79	78	87	87	74	2	24	1	1,366,667$
4	Eric Tangradi	0		X			100.00	86	79	99	86	97	62	62	67	67	67	67	76	67	71	76	87	87	67	2	20	1	750,000$
5	Taylor Chorney	0				X	100.00	82	75	99	91	79	73	73	68	67	72	67	86	67	75	74	87	87	72	2	22	1	942,000$
Scratches
1	Craig Adams	0			X		100.00	99	99	86	88	85	99	99	86	79	75	67	88	67	95	88	87	87	77	2	32	0	0$
2	David Clarkson	0			X		100.00	99	92	57	83	87	88	88	95	71	84	86	78	86	81	81	87	87	77	2	25	0	0$
3	Jamal Mayers	0			X		100.00	86	94	56	86	94	96	96	89	90	77	70	82	70	99	91	87	87	76	2	35	0	0$
4	Jamie McGinn	0		X			100.00	91	74	91	81	85	91	91	91	72	70	80	80	80	73	78	87	87	74	2	21	0	0$
5	Frazer McLaren	0		X			100.00	89	98	50	76	99	79	79	89	67	79	70	78	70	75	74	87	87	72	2	22	0	0$
6	Benn Ferriero	0	X				100.00	79	75	99	80	80	76	76	83	88	74	73	79	73	75	71	87	87	71	2	22	0	0$
7	Matt D'Agostini	0			X		100.00	81	97	92	90	86	81	81	82	88	69	70	75	70	77	76	87	87	71	2	23	0	0$
8	Nick Bonino	0	X				100.00	74	74	95	80	79	73	73	85	78	72	73	77	73	73	73	87	87	70	2	21	0	0$
9	Petr Kalus	0			X		100.00	80	78	99	92	87	63	63	67	67	67	67	76	67	75	75	87	87	67	2	22	0	0$
10	Steven Zalewski	0	X				100.00	72	78	99	91	83	63	63	67	72	67	67	76	67	77	73	87	87	67	2	23	0	0$
11	John McCarthy	0		X			100.00	75	78	99	86	85	63	63	67	67	67	67	76	67	77	80	87	87	66	2	23	0	0$
12	Mark Fistric	0				X	100.00	99	98	83	80	99	90	90	82	67	78	69	86	69	77	76	87	87	77	2	23	0	0$
13	Andrew MacDonald	0				X	100.00	81	74	96	91	83	79	79	78	67	77	69	94	69	77	77	87	87	76	2	23	0	0$
14	Andrej Sekera	0				X	100.00	83	77	99	88	85	82	82	83	67	78	79	80	79	77	77	87	87	75	2	23	0	0$
15	Derek Joslin	0				X	100.00	77	75	95	88	91	75	75	80	67	76	67	81	67	75	75	87	87	73	2	22	0	0$
16	Jay Leach	0				X	100.00	81	99	91	73	97	73	73	72	67	69	71	84	71	91	86	87	87	72	2	30	0	0$
17	Justin Falk	0				X	100.00	79	79	99	75	95	63	63	67	67	67	67	78	67	73	70	87	87	67	2	21	0	0$

	TEAM AVERAGE						100.00	84	84	88	85	88	78	78	79	74	74	72	81	70	76	76	83	87	72

Show or Hide Columns

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	Age	Contract	Salary
1	Antero Niittymaki	0	100.00	97	98	87	97	98	96	96	98	98	95	97	97	95	27	87	92	2	30	1	2,000,000$
Scratches
1	Thomas Greiss	0	100.00	88	79	97	97	92	94	94	93	94	93	93	87	79	67	87	87	2	24	0	0$

	TEAM AVERAGE		100.00	93	89	92	97	95	95	95	96	96	94	95	92	87	47	87	90

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Marc Crawford	92	73	81	89	91	87	70	CAN	51	1	1,956,000$

Show or Hide Columns

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 Columns

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 Columns

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	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	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	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10
Andrej Sekera	Worcester Sharks (San)	D	23	2001-11-03	SVK	No	197 Lbs	6 ft0	No	No	Assign Manually	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Andrew MacDonald	Worcester Sharks (San)	D	23	2001-11-03	CAN	No	188 Lbs	6 ft1	No	No	Assign Manually	No	No	0	2024-10-08	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Antero Niittymaki	Worcester Sharks (San)	G	30	1994-11-03	FIN	No	190 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	2,000,000$	2,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Benn Ferriero	Worcester Sharks (San)	C	22	2002-11-03	USA	No	185 Lbs	5 ft11	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Charlie Coyle	Worcester Sharks (San)	C	24	2000-10-07	NA	No	218 Lbs	5 ft3	No	No	Prospect	No	No	2	2024-10-09	False	False	Pro & Farm	750,000$	750,000$	0$	0$	No	750,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Craig Adams	Worcester Sharks (San)	RW	32	1992-11-03	BRN	No	197 Lbs	6 ft0	No	No	Assign Manually	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
David Clarkson	Worcester Sharks (San)	RW	25	1999-11-03	CAN	No	200 Lbs	6 ft1	No	No	Assign Manually	No	No	0	2024-10-08	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Derek Joslin	Worcester Sharks (San)	D	22	2002-11-03	CAN	No	210 Lbs	6 ft1	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Eric Tangradi	Worcester Sharks (San)	LW	20	2004-11-03	USA	No	221 Lbs	6 ft4	No	No	Assign Manually	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	750,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Frazer McLaren	Worcester Sharks (San)	LW	22	2002-11-03	CAN	No	235 Lbs	6 ft4	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jamal Mayers	Worcester Sharks (San)	RW	35	1989-11-03	CAN	No	217 Lbs	6 ft1	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jamie McGinn	Worcester Sharks (San)	LW	21	2003-11-03	CAN	No	195 Lbs	6 ft0	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jay Leach	Worcester Sharks (San)	D	30	1994-11-03	USA	No	220 Lbs	6 ft4	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
John McCarthy	Worcester Sharks (San)	LW	23	2001-11-03	USA	No	195 Lbs	6 ft1	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Justin Falk	Worcester Sharks (San)	D	21	2003-11-03	CAN	No	215 Lbs	6 ft5	No	No	Assign Manually	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Logan Couture	Worcester Sharks (San)	C	20	2004-11-03	CAN	No	195 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	1,241,667$	1,241,667$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Mark Fistric	Worcester Sharks (San)	D	23	2001-11-03	CAN	No	234 Lbs	6 ft3	No	No	Assign Manually	No	No	0	2024-10-08	False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matt D'Agostini	Worcester Sharks (San)	RW	23	2001-11-03	CAN	No	198 Lbs	6 ft0	No	No	Assign Manually	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Nick Bonino	Worcester Sharks (San)	C	21	2003-11-03	USA	No	180 Lbs	6 ft1	No	No	Assign Manually	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Petr Kalus	Worcester Sharks (San)	RW	22	2002-11-03	CZE	No	201 Lbs	6 ft1	No	No	Assign Manually	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Steven Zalewski	Worcester Sharks (San)	C	23	2001-11-03	USA	No	190 Lbs	5 ft11	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Taylor Chorney	Worcester Sharks (San)	D	22	2002-11-03	CAN	No	182 Lbs	5 ft11	No	No	Assign Manually	No	No	1		False	False	Pro & Farm	942,000$	942,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Thomas Greiss	Worcester Sharks (San)	G	24	2000-11-03	DEU	No	210 Lbs	6 ft1	No	No	N/A	No	No	0		False	False	Pro & Farm			0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Torrey Mitchell	Worcester Sharks (San)	C	24	2000-11-03	CAN	No	190 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Pro & Farm	1,366,667$	1,366,667$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	23.96	203 Lbs	6 ft1	0.29	293,764$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Charlie Coyle		40	1	2	2
2		Logan Couture		30	1	2	2
3		Torrey Mitchell		20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3		Taylor Chorney	20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1		Charlie Coyle		60	1	2	2
2		Logan Couture		40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Charlie Coyle		60	1	2	2
2	Logan Couture		40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Charlie Coyle	60	1	2	2			60	1	2	2
2	Logan Couture	40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Charlie Coyle		60	1	2	2
2	Logan Couture		40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
	Charlie Coyle

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
	Charlie Coyle

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Charlie Coyle, Logan Couture	, Charlie Coyle

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, , Taylor Chorney		,

Penalty Shots
, , , ,

Goalie
#1 : Antero Niittymaki, #2 :

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

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

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%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	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	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	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%	0	0	0%	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%	0	0	0%	0	0	0%

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 Show or Hide Columns

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
Capacity	2000	1000
Ticket Price	35	15
Attendance	0%	0%
Attendance PCT	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
22	0 - 0%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	705,034$	705,034$	1,956,000$0$

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$

Worcester Sharks Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Worcester Sharks Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Worcester Sharks Career Team Stats

Show or Hide Columns

	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

Worcester Sharks Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Worcester Sharks Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Worcester Sharks
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Russ \| Morale : 1 \| Team Overall : 74