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

Team Leaders

Team Stats

Team Info
	General Manager	Tony Chiu
	Division	Metro-Atlantic Division
	Conference	Eastern Conference
	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 / 60
	Prospects	20
Team History
	This Season	0-0
	History	41-37-3 (0.506%)
	Playoff Appearances	2
	Playoff Record (W-L)	0-4
	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	Lukas Reichel (R)	X				100.00	62	45	80	66	62	72	59	66	55	73	69	65	57	55	56	0	50	67	0	21	3	975,000$
2	Nathan Walker	X				100.00	72	70	88	66	78	60	72	58	78	72	59	69	54	58	58	0	50	65	0	29	2	900,000$
3	Nils Hoglander		X	X		100.00	60	53	73	65	65	63	64	60	54	64	60	63	58	58	55	0	50	62	0	22	1	925,000$
4	Connor Zary	X				100.00	55	58	63	63	61	68	66	64	70	61	62	62	60	55	53	0	50	62	0	22	2	975,000$
5	Cole Reinhardt	X				100.00	56	55	61	61	67	67	66	60	55	58	58	60	54	57	54	0	50	60	0	23	1	725,000$
6	Kyle MacLean	X				100.00	56	57	62	59	63	67	66	58	70	57	58	60	54	59	55	0	50	59	0	24	1	625,000$
7	Pierrick Dube (R)			X		100.00	55	58	66	61	56	62	61	59	55	57	60	62	57	55	53	0	50	59	0	22	2	625,000$
8	Alexander Kisakov (R)			X		100.00	55	55	66	56	52	63	62	55	55	54	56	59	60	54	52	0	50	56	0	20	3	925,000$
9	Rory Kerins		X			100.00	54	54	68	54	57	55	55	54	70	54	54	61	54	54	52	0	50	55	0	21	1	725,000$
10	David Goyette (R)	X				100.00	54	54	68	54	58	54	54	54	55	54	54	60	54	50	50	0	50	55	0	19	3	925,000$
11	Adam Sykora (R)	X				100.00	54	54	68	54	57	54	54	54	55	54	54	60	54	50	50	0	50	55	0	19	3	925,000$
12	Yegor Zamula				X	100.00	57	40	76	56	59	75	56	51	40	63	54	81	54	54	58	0	50	62	0	23	2	775,000$
13	Brandt Clarke (R)				X	100.00	60	45	69	65	67	65	56	54	40	68	54	67	54	53	55	0	50	61	0	20	3	975,000$
14	John Ludvig				X	100.00	56	55	63	57	68	64	63	57	40	57	55	64	54	57	54	0	50	59	0	23	1	700,000$
15	Lukas Cormier (R)				X	100.00	55	57	65	61	58	66	64	60	40	59	58	58	54	54	52	0	50	59	0	21	3	925,000$
Scratches
1	Jonatan Berggren	X	X			100.00	68	41	85	68	79	66	70	63	54	72	67	68	54	56	57	0	50	68	0	23	1	925,000$
2	Riley Stillman				X	100.00	70	74	84	67	77	70	75	58	40	72	58	80	54	59	58	0	50	68	0	25	2	975,000$
3	Declan Chisholm				X	100.00	55	55	66	59	63	65	63	61	40	61	56	58	54	57	54	0	50	59	0	23	1	700,000$
4	Sam Malinski				X	100.00	54	54	68	55	61	55	55	55	40	54	55	61	54	61	56	0	50	57	0	25	2	700,000$
5	Max Wanner (R)				X	100.00	50	50	50	50	50	50	50	50	35	50	50	50	50	25	25	0	50	49	0	20	3	350,000$

	TEAM AVERAGE					100.00	58	54	69	60	63	63	62	58	52	61	58	63	55	54	53	0	50	60

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	Cayden Primeau	100.00	62	65	65	71	67	62	66	67	58	60	62	58	54	0	50	64	0	24	2	750,000$
Scratches
1	Alex Stalock	100.00	75	71	72	69	83	82	84	72	83	73	74	64	57	0	50	77	0	36	2	950,000$
2	Lukas Dostal	100.00	59	64	65	71	70	70	72	68	65	65	69	56	53	0	50	67	0	23	1	875,000$
3	Remi Poirier	100.00	57	58	59	67	66	54	67	58	57	57	67	54	51	0	50	60	0	22	2	675,000$

	TEAM AVERAGE	100.00	63	65	65	70	72	67	72	66	66	64	68	58	54	0	50	67

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	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Adam Sykora	Syracuse Crunch (TB )	C	19	2004-09-07	Yes	172 Lbs	5 ft10	No	No	No	No	3	Pro & Farm	925,000$	462,500$	0$	0$	No	925,000$	925,000$
Alex Stalock	Syracuse Crunch (TB )	G	36	1987-07-28	No	170 Lbs	5 ft11	No	No	No	No	2	Pro & Farm	950,000$	475,000$	0$	0$	No	950,000$		Link
Alexander Kisakov	Syracuse Crunch (TB )	RW	20	2002-11-01	Yes	150 Lbs	5 ft10	No	No	No	No	3	Pro & Farm	925,000$	462,500$	0$	0$	No	925,000$	925,000$
Brandt Clarke	Syracuse Crunch (TB )	D	20	2003-02-09	Yes	185 Lbs	6 ft2	No	No	No	No	3	Pro & Farm	975,000$	487,500$	0$	0$	No	975,000$	975,000$
Cayden Primeau	Syracuse Crunch (TB )	G	24	1999-08-11	No	199 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	750,000$	375,000$	0$	0$	No	750,000$		Link
Cole Reinhardt	Syracuse Crunch (TB )	C	23	2000-02-01	No	207 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	725,000$	362,500$	0$	0$	No			Link
Connor Zary	Syracuse Crunch (TB )	C	22	2001-09-25	No	185 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	975,000$	487,500$	0$	0$	No	975,000$		Link
David Goyette	Syracuse Crunch (TB )	C	19	2004-03-27	Yes	174 Lbs	5 ft11	No	No	No	No	3	Pro & Farm	925,000$	462,500$	0$	0$	No	925,000$	925,000$
Declan Chisholm	Syracuse Crunch (TB )	D	23	2000-01-12	No	190 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	700,000$	350,000$	0$	0$	No			Link
John Ludvig	Syracuse Crunch (TB )	D	23	2000-08-02	No	214 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	700,000$	350,000$	0$	0$	No			Link
Jonatan Berggren	Syracuse Crunch (TB )	C/LW	23	2000-07-16	No	197 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	925,000$	462,500$	0$	0$	No			Link
Kyle MacLean	Syracuse Crunch (TB )	C	24	1999-04-29	No	190 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	625,000$	312,500$	0$	0$	No			Link
Lukas Cormier	Syracuse Crunch (TB )	D	21	2002-03-27	Yes	176 Lbs	5 ft10	No	No	No	No	3	Pro & Farm	925,000$	462,500$	0$	0$	No	925,000$	925,000$
Lukas Dostal	Syracuse Crunch (TB )	G	23	2000-06-22	No	174 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	875,000$	437,500$	0$	0$	No			Link
Lukas Reichel	Syracuse Crunch (TB )	C	21	2002-05-17	Yes	170 Lbs	6 ft0	No	No	No	No	3	Pro & Farm	975,000$	487,500$	0$	0$	No	975,000$	975,000$
Max Wanner	Syracuse Crunch (TB )	D	20	2003-03-12 11:10:54 AM	Yes	185 Lbs	6 ft5	No	No	No	No	3	Pro & Farm	350,000$	175,000$	0$	0$	No	350,000$	350,000$
Nathan Walker	Syracuse Crunch (TB )	C	29	1994-02-07	No	187 Lbs	5 ft9	No	No	No	No	2	Pro & Farm	900,000$	450,000$	0$	0$	No	900,000$		Link
Nils Hoglander	Syracuse Crunch (TB )	LW/RW	22	2000-12-20	No	185 Lbs	5 ft9	No	No	No	No	1	Pro & Farm	925,000$	462,500$	0$	0$	No			Link
Pierrick Dube	Syracuse Crunch (TB )	RW	22	2001-01-07	Yes	172 Lbs	5 ft9	No	No	No	No	2	Pro & Farm	625,000$	312,500$	0$	0$	No	625,000$
Remi Poirier	Syracuse Crunch (TB )	G	22	2001-10-06	No	201 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	675,000$	337,500$	0$	0$	No	675,000$		Link
Riley Stillman	Syracuse Crunch (TB )	D	25	1998-03-09	No	196 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	975,000$	487,500$	0$	0$	No	975,000$		Link
Rory Kerins	Syracuse Crunch (TB )	LW	21	2002-04-23	No	174 Lbs	5 ft10	No	No	No	No	1	Pro & Farm	725,000$	362,500$	0$	0$	No			Link
Sam Malinski	Syracuse Crunch (TB )	D	25	1998-07-27	No	190 Lbs	5 ft11	No	No	No	No	2	Pro & Farm	700,000$	350,000$	0$	0$	No	700,000$		Link
Yegor Zamula	Syracuse Crunch (TB )	D	23	2000-03-30	No	177 Lbs	6 ft3	No	No	No	No	2	Pro & Farm	775,000$	387,500$	0$	0$	No	775,000$		Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	22.92	184 Lbs	6 ft0	1.96	813,542$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nils Hoglander			35	1	2	2
2	Rory Kerins		Pierrick Dube	30	1	2	2
3		Connor Zary	Alexander Kisakov	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	Yegor Zamula	Brandt Clarke	30	1	2	2
3		John Ludvig	25	1	2	2
4	Lukas Cormier		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Nils Hoglander			60	1	2	2
2	Rory Kerins		Pierrick Dube	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Yegor Zamula	Brandt Clarke	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Connor Zary	40	1	2	2

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

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Connor Zary	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2	Yegor Zamula	Brandt Clarke	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Nils Hoglander

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Nils Hoglander

Extra Forwards
Normal	PowerPlay	Penalty Kill
, , Alexander Kisakov	,	Alexander Kisakov

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, John Ludvig, Lukas Cormier		John Ludvig, Lukas Cormier

Penalty Shots
, , , Connor Zary, Nils Hoglander

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 Average Salaries	Coaches Salaries
0$	1,952,500$	1,925,000$	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$	14	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	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Nils Hoglander	58	26	29	55	-4	37	122	116	277	9.39%	12	1093	18.85	6	16	22	76	1	4	4	51.72%	1	1.01	1	2
2	Pierrick Dube	58	17	28	45	10	27	79	79	183	9.29%	2	898	15.50	7	7	14	40	0	3	3	52.00%	0	1.00	0	0
3	Connor Zary	82	22	15	37	11	66	75	153	172	12.79%	10	796	9.71	1	1	2	11	0	4	0	58.51%	0	0.93	2	5
4	Rory Kerins	58	15	17	32	10	18	59	43	123	12.20%	11	899	15.51	3	7	10	32	0	3	1	58.93%	0	0.71	0	0
5	Alexander Kisakov	58	15	12	27	-1	26	49	55	99	15.15%	6	696	12.00	0	0	0	0	0	2	0	47.17%	0	0.78	0	0

Syracuse Crunch 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
1	Lukas Dostal	36	18	16	2	0.903	3.29	2173	0	1	119	1231	0	0	1	0.833	6
2	Cayden Primeau	6	1	4	1	0.900	3.73	370	6	0	23	230	0	0	0	0.333	6

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
Total Regular Season	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
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
Total Playoff	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

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	PPP	PPS	PKA	PKP	PKS	FO%	P/20
1	Cole Schwindt	4	4	3	7	4	4	15	9	27	14.81%	1	75	18.97	1	1	11	0	0	0	50.00%	1.85
2	Jesper Boqvist	4	1	1	2	-8	0	7	20	12	8.33%	3	88	22.25	0	0	2	0	0	1	46.71%	0.45
3	Nils Hoglander	4	1	1	2	-8	4	10	4	8	12.50%	0	86	21.60	0	0	0	0	0	2	45.45%	0.46
4	Jonatan Berggren	4	1	1	2	-2	2	5	11	11	9.09%	1	52	13.11	0	0	0	0	0	0	44.83%	0.76
5	Joey Anderson	4	0	1	1	-4	2	9	9	8	0%	2	75	18.93	0	0	4	1	1	0	40.00%	0.26

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 : 61