Tampa Bay Lightning
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Career Team Stats

Team Leaders

Team Stats

Team Info
	General Manager	Tony Chiu
	Division	Metro-Atlantic Division
	Conference	Eastern Conference
	Captain	Adam Engstrom
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	19
	Farm Team	21
	Contract Limit	40 / 60
	Prospects	19
Team History
	This Season	0-0
	History	89-70-5 (0.543%)
	Playoff Appearances	2
	Playoff Record (W-L)	9 - 14 (0.391%)
	Stanley Cup	0

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	Danila Klimovich			X		100.00	57	57	67	66	73	70	68	64	57	60	66	67	56	55	53	0	50	64	0	22	1	900,000$
2	Alex Bump (R)	X				100.00	56	56	72	56	68	56	56	57	57	57	56	61	56	55	53	0	50	58	0	21	3	775,000$
3	Leon Muggli (R)				X	100.00	56	56	72	56	66	56	56	56	42	56	56	61	56	50	50	0	50	57	0	18	3	925,000$
Scratches
1	Rory Kerins	X				100.00	58	60	73	58	65	71	68	70	72	66	70	68	57	58	55	0	50	66	0	23	1	750,000$
2	Adam Sykora	X				100.00	56	59	71	64	66	71	68	63	57	63	60	64	56	54	52	0	50	63	0	20	1	925,000$
3	Sasha Pastujov			X		100.00	56	59	71	63	67	65	64	66	57	65	63	64	56	55	53	0	50	63	0	21	1	875,000$
4	Jordan Dumais		X	X		100.00	56	60	72	57	60	60	60	58	57	58	58	63	56	54	52	0	50	59	0	21	2	875,000$
5	Jack Devine (R)	X				100.00	56	56	72	56	66	56	56	56	57	57	56	61	56	55	53	0	50	57	0	21	3	675,000$
6	Brandon Buhr (R)			X		100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	1	0	23	2	625,000$
7	Noah Steen (R)		X			100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	1	0	20	3	675,000$
8	Matthew Dimarsico (R)		X			100.00	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	0	1	1	0	21	2	625,000$
9	Victor Mancini				X	100.00	61	50	81	69	87	65	63	60	43	65	60	70	57	57	57	0	50	66	0	23	1	775,000$
10	Adam Engstrom (C)				X	100.00	57	57	68	62	70	70	68	62	42	63	58	69	56	55	53	0	50	63	0	21	2	875,000$
11	Elias Salomonsson (R)				X	100.00	57	56	70	61	69	67	66	62	42	63	58	65	56	54	52	0	50	62	0	20	3	925,000$
12	Lukas Cormier				X	100.00	57	56	71	58	65	60	59	58	42	59	56	61	56	57	54	0	50	59	0	23	1	925,000$

	TEAM AVERAGE					100.00	46	46	58	49	55	51	50	49	42	49	48	52	45	44	43	0	40	49

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	Artur Akhtyamov	100.00	67	70	71	64	70	68	70	69	64	70	67	63	56	0	50	68	0	23	1	825,000$
Scratches
1	Remi Poirier	100.00	72	73	73	64	72	68	71	72	64	70	63	63	56	0	50	70	0	23	2	850,000$
2	Cayden Primeau	100.00	71	68	68	74	75	68	69	67	70	69	72	64	57	0	50	69	0	25	1	850,000$
3	Domenic Divincentiis (R)	100.00	69	71	72	63	71	62	71	72	66	70	78	58	52	0	50	68	0	21	3	675,000$

	TEAM AVERAGE	100.00	70	71	71	66	72	67	70	70	66	70	70	62	55	0	50	69

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

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	Last Trade Date	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	Link
Adam Engstrom	Syracuse Crunch (TB )	D	21	2003-11-17	SWE	No	190 Lbs	6 ft2	No	No	Prospect		No	No	2	2025-03-23	False	False	Pro & Farm	875,000$	250,000$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Adam Sykora	Syracuse Crunch (TB )	C	20	2004-09-07	SVK	No	192 Lbs	5 ft11	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	264,286$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Alex Bump	Syracuse Crunch (TB )	C	21	2003-11-20	USA	Yes	194 Lbs	6 ft0	No	No	Draft		No	No	3	2025-07-11	False	False	Pro & Farm	775,000$	221,429$	0$	0$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Artur Akhtyamov	Syracuse Crunch (TB )	G	23	2001-10-31	RUS	No	170 Lbs	6 ft2	No	No	Prospect		No	No	1	2024-11-21	False	False	Pro & Farm	825,000$	235,714$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Brandon Buhr	Syracuse Crunch (TB )	RW	23	2002-02-07	CAN	Yes	200 Lbs	5 ft2	No	No	Prospect		No	No	2	2026-04-07	False	False	Pro & Farm	625,000$	178,571$	0$	0$	No	625,000$	-	-	-	-	-	-	-	-	100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Cayden Primeau	Syracuse Crunch (TB )	G	25	1999-08-11	USA	No	205 Lbs	6 ft3	No	No	N/A		No	No	1	2025-08-08	False	False	Pro & Farm	850,000$	242,857$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Danila Klimovich	Syracuse Crunch (TB )	RW	22	2003-01-09	BLR	No	203 Lbs	6 ft2	No	No	Trade	2026-03-21	No	No	1	2025-08-13	False	False	Pro & Farm	900,000$	257,143$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Domenic Divincentiis	Syracuse Crunch (TB )	G	21	2004-03-04	CAN	Yes	192 Lbs	6 ft2	No	No	Prospect		No	No	3	2025-07-11	False	False	Pro & Farm	675,000$	192,857$	0$	0$	No	675,000$	675,000$	-	-	-	-	-	-	-	675,000$	675,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Elias Salomonsson	Syracuse Crunch (TB )	D	20	2004-08-31	SWE	Yes	185 Lbs	6 ft2	No	No	Prospect		No	No	3	2025-07-11	False	False	Pro & Farm	925,000$	264,286$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jack Devine	Syracuse Crunch (TB )	C	21	2003-10-02	USA	Yes	181 Lbs	6 ft0	No	No	Prospect		No	No	3	2025-07-11	False	False	Pro & Farm	675,000$	192,857$	0$	0$	No	675,000$	675,000$	-	-	-	-	-	-	-	675,000$	675,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jordan Dumais	Syracuse Crunch (TB )	LW/RW	21	2004-04-15	CAN	No	174 Lbs	5 ft9	No	No	Prospect		No	No	2	2025-03-31	False	False	Pro & Farm	875,000$	250,000$	0$	0$	No	875,000$	-	-	-	-	-	-	-	-	875,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Leon Muggli	Syracuse Crunch (TB )	D	18	2006-07-09	SUI	Yes	176 Lbs	6 ft1	No	No	Prospect		No	No	3	2025-07-11	False	False	Pro & Farm	925,000$	264,286$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Lukas Cormier	Syracuse Crunch (TB )	D	23	2002-03-27	CAN	No	190 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	264,286$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matthew Dimarsico	Syracuse Crunch (TB )	LW	21	2004-01-07	USA	Yes	180 Lbs	5 ft0	No	No	Prospect		No	No	2	2026-04-09	False	False	Pro & Farm	625,000$	178,571$	0$	0$	No	625,000$	-	-	-	-	-	-	-	-	100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Noah Steen	Syracuse Crunch (TB )	LW	20	2004-08-16	NOR	Yes	187 Lbs	5 ft1	No	No	Prospect		No	No	3	2026-04-07	False	False	Pro & Farm	675,000$	192,857$	0$	0$	No	675,000$	675,000$	-	-	-	-	-	-	-	100,000$	100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Remi Poirier	Syracuse Crunch (TB )	G	23	2001-10-06	CAN	No	205 Lbs	6 ft2	No	No	N/A		No	No	2	2025-08-08	False	False	Pro & Farm	850,000$	242,857$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Rory Kerins	Syracuse Crunch (TB )	C	23	2002-04-12	CAN	No	173 Lbs	5 ft10	No	No	N/A		No	No	1	2024-08-12	False	False	Pro & Farm	750,000$	214,286$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Sasha Pastujov	Syracuse Crunch (TB )	RW	21	2003-07-15	USA	No	187 Lbs	6 ft0	No	No	N/A		No	No	1		False	False	Pro & Farm	875,000$	250,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Victor Mancini	Syracuse Crunch (TB )	D	23	2002-05-26	USA	No	228 Lbs	6 ft3	No	No	Draft		No	No	1	2024-10-03	False	False	Pro & Farm	775,000$	221,429$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
19	21.58	190 Lbs	5 ft11	1.89	806,579$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				35	1	2	2
2				30	1	2	2
3				25	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			35	1	2	2
2			30	1	2	2
3			25	1	2	2
4			10	1	2	2

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

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			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

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #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
41	0 - 0%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	1,532,500$	1,532,500$	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$	4	0$	0$

Syracuse Crunch 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	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Brandt Clarke	140	28	90	118	-15	128	286	200	245	11.43%	190	2915	20.82	20	25	45	147	1	1	0	8	1	42.37%	0	0.81	2	3
2	Pierrick Dube	107	35	49	84	10	57	153	181	356	9.83%	16	1810	16.92	16	13	29	100	0	0	3	5	4	50.97%	0	0.93	2	6
3	Owen Sillinger	82	26	42	68	5	42	136	140	241	10.79%	15	1544	18.83	5	16	21	59	0	0	2	7	2	53.21%	1	0.88	3	5
4	Rory Kerins	101	23	35	58	8	43	106	149	229	10.04%	19	1654	16.38	7	12	19	55	0	0	5	7	2	57.52%	0	0.70	0	0
5	Nils Hoglander	58	26	29	55	-4	37	122	116	277	9.39%	12	1093	18.85	6	16	22	76	0	0	1	4	4	51.72%	1	1.01	1	2

Syracuse Crunch Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Cayden Primeau	43	26	16	1	0.915	2.76	2606	12	2	120	1404	1	0	0.696	23
2	Lukas Dostal	36	18	16	2	0.903	3.29	2173	0	1	119	1231	0	1	0.833	6
3	Hunter Shepard	5	4	0	1	0.950	1.77	305	0	0	9	181	0	0	0.500	2

Syracuse Crunch 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
Regular Season
2023	82	36	37	0	1	2	4	2	274	278	-4	41	19	19	0	0	0	2	1	131	129	2	41	17	18	0	1	2	2	1	143	149	-6	86	274	501	775	1	3	115	72	82	8	2966	952	1042	945	46	2916	864	874	1965	369	69	18.70%	367	69	81.20%	7	1518	3030	50.10%	1440	3008	47.87%	627	1347	46.55%	1996	1408	1957	590	1002	497
2024	82	40	33	0	1	0	7	1	309	269	40	41	17	18	0	0	0	6	0	148	134	14	41	23	15	0	1	0	1	1	161	135	26	97	309	555	864	2	3	113	101	87	14	2809	923	924	941	52	2882	873	710	1732	406	101	24.88%	313	57	81.79%	6	1469	2930	50.14%	1544	3010	51.30%	701	1384	50.65%	2043	1430	1897	587	1019	524
Total Regular Season	164	76	70	0	2	2	11	3	583	547	36	82	36	37	0	0	0	8	1	279	263	16	82	40	33	0	2	2	3	2	304	284	20	183	583	1056	1639	3	6	228	173	169	22	5775	1875	1966	1886	98	5798	1737	1584	3697	775	170	21.94%	680	126	81.47%	13	2987	5960	50.12%	2984	6018	49.58%	1328	2731	48.63%	4039	2838	3855	1178	2022	1022
Playoff
2022	4	0	4	0	0	0	0	0	14	23	-9	2	0	2	0	0	0	0	0	7	10	-3	2	0	2	0	0	0	0	0	7	13	-6	0	14	26	40	0	0	6	5	3	0	140	50	37	53	0	155	37	50	96	21	3	14.29%	21	7	66.67%	1	65	148	43.92%	70	141	49.65%	36	76	47.37%	96	68	96	27	46	22
2024	19	9	10	0	0	0	0	0	69	73	-4	9	4	5	0	0	0	0	0	30	34	-4	10	5	5	0	0	0	0	0	39	39	0	18	69	131	200	1	0	25	27	17	0	733	253	224	239	17	799	246	191	491	80	17	21.25%	87	12	86.21%	1	354	761	46.52%	341	765	44.58%	135	303	44.55%	441	308	492	139	230	111
Total Playoff	23	9	14	0	0	0	0	0	83	96	-13	11	4	7	0	0	0	0	0	37	44	-7	12	5	7	0	0	0	0	0	46	52	-6	18	83	157	240	1	0	31	32	20	0	873	303	261	292	17	954	283	241	587	101	20	19.80%	108	19	82.41%	2	419	909	46.09%	411	906	45.36%	171	379	45.12%	538	377	588	167	277	134

Syracuse Crunch 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	GW	FO%	P/20
1	Brandt Clarke	19	5	13	18	-16	24	60	44	61	8.20%	37	459	24.16	1	5	6	35	2	40.59%	0.78
2	Owen Sillinger	16	6	7	13	-5	8	29	45	49	12.24%	3	310	19.40	0	2	2	7	0	44.91%	0.84
3	Sasha Pastujov	19	5	5	10	-12	0	38	32	60	8.33%	1	358	18.87	0	0	0	0	1	47.18%	0.56
4	Cole Schwindt	4	4	3	7	4	4	15	9	27	14.81%	1	75	18.97	1	0	1	11	0	50.00%	1.85
5	Adam Sykora	19	0	7	7	-12	26	49	32	17	0%	28	370	19.48	0	0	0	0	0	33.33%	0.38

Syracuse Crunch 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

	Syracuse Crunch
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Tony Chiu \| Morale : 50 \| Team Overall : 53