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

Game Center
	Syracuse Crunch 39-30-3, 81pts	4	FINAL	2	San Antonio Rampage 32-33-7, 71pts

Team Stats
W5	Streak	L1
17-16-3	Home Record	22-12-2
22-14-0	Home Record	10-21-5
5-4-1	Last 10 Games	1-7-2
3.07	Goals Per Game	3.58
3.08	Goals Against Per Game	3.63
18.64%	Power Play Percentage	12.77%
83.41%	Penalty Kill Percentage	84.52%

Binghamton Devils
35-35-2, 72pts

FINAL

Syracuse Crunch
39-30-3, 81pts

Team Stats
L1	Streak	W5
16-18-2	Home Record	17-16-3
19-17-0	Home Record	22-14-0
2-8-0	Last 10 Games	5-4-1
2.63	Goals Per Game	3.07
3.13	Goals Against Per Game	3.08
12.22%	Power Play Percentage	18.64%
81.00%	Penalty Kill Percentage	83.41%

Team Leaders
	Goals Olli Juolevi 13	Assists Olli Juolevi 24

	Points Olli Juolevi 37	Plus/Minus Robin Salo -3

	Wins Thomas Greiss 39	Save Percentage Thomas Greiss 0.9

Team Stats
Goals For 221 3.07 GFG	Shots For 1962 27.25 Avg	Power Play Percentage 18.6% 77 GF	Offensive Zone Start 38.9%
Goals Against 222 3.08 GAA	Shots Against 2233 31.01 Avg	Penalty Kill Percentage 83.4%% 77 GA	Defensive Zone Start 41.9%

Team Info
	General Manager	Alain
	Coach	Brad Lauer
	Division	Southeast division
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	300
Roster Info
	Pro Team	4
	Farm Team	20
	Contract Limit	24 / 250
	Prospects	47

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	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	Robin Salo (R)	X	100.00	65	41	88	68	67	57	71	59	25	53	60	67	25	45	45	0	80	61	0	25	1	485,000$
2	Olli Juolevi	X	100.00	77	75	82	74	75	52	52	52	25	49	40	63	38	47	47	0	80	59	0	25	1	485,000$
3	Kaedan Korczak (R)	X	100.00	71	73	67	73	73	66	71	48	25	39	41	59	39	45	45	0	80	58	0	22	2	455,000$
Scratches

	TEAM AVERAGE		100.00	71	63	79	72	72	58	65	53	25	47	47	63	34	46	46	0	80	59

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	Thomas Greiss	100.00	61	56	58	88	65	56	69	63	65	61	92	68	69	0	80	65	0	37	1	4,010,000$
Scratches

	TEAM AVERAGE	100.00	61	56	58	88	65	56	69	63	65	61	92	68	69	0	80	65

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Brad Lauer	40	40	40	40	40	40	40	TUR	80	3	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	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Cal Foote	Tampa Bay Lightning	D	49	15	28	43	1	123	25	147	68	155	46	88	9.68%	54	1029	21.00	13	14	27	118	235	3	205	2	1	0%	0	0.84	0	1	2	0	3	7	9	3
2	Olli Juolevi	Syracuse Crunch (TAM)	D	72	13	24	37	-28	157	25	120	68	98	27	70	13.27%	60	1191	16.55	8	11	19	76	201	1	210	1	0	52.63%	38	0.62	2	2	1	1	3	2	6	12
3	Robin Salo	Syracuse Crunch (TAM)	D	49	12	23	35	-3	10	0	23	78	154	49	94	7.79%	59	1037	21.18	7	17	24	121	228	1	223	1	1	0%	0	0.67	1	1	0	0	0	6	7	4
4	Kaedan Korczak	Syracuse Crunch (TAM)	D	72	12	19	31	-30	98	0	147	55	98	36	69	12.24%	63	1246	17.31	11	8	19	79	222	0	230	4	0	0%	2	0.50	1	2	0	0	0	2	7	13
Team Total or Average				242	52	94	146	-60	388	50	437	269	505	158	321	10.30%	236	4504	18.61	39	50	89	394	887	5	870	8	2	50.00%	40	0.65	4	6	3	1	6	17	29	32

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
1	Thomas Greiss	Syracuse Crunch (TAM)	72	39	29	3	0.900	3.09	4236	4	3	218	2180	0	1	1	0.857	7	72	0	13	3	8
Team Total or Average			72	39	29	3	0.900	3.09	4236	4	3	218	2180	0	1	1		7	72	0	13	3	8

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	Acquired By	Force Waivers	Waiver Possible	Contract	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	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
Kaedan Korczak	Syracuse Crunch (TAM)	D	22	2001-01-29	Yes	192 Lbs	6 ft3	No	No	N/A	No	No	2	False	False	Pro & Farm	455,000$	2,395$	0$	0$	No	455,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Olli Juolevi	Syracuse Crunch (TAM)	D	25	1998-05-05	No	204 Lbs	6 ft2	No	No	N/A	No	No	1	False	False	Pro & Farm	485,000$	2,553$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Robin Salo	Syracuse Crunch (TAM)	D	25	1998-10-13	Yes	181 Lbs	6 ft0	No	No	N/A	No	No	1	False	False	Pro & Farm	485,000$	2,553$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Thomas Greiss	Syracuse Crunch (TAM)	G	37	1986-01-29	No	232 Lbs	6 ft2	No	No	N/A	No	Yes	1	False	False	Pro & Farm	4,010,000$	21,105$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
4	27.25	202 Lbs	6 ft2	1.25	1,358,750$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4	Kaedan Korczak	Olli Juolevi		10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2	Olli Juolevi	Kaedan Korczak	30	1	2	2
3			20	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	Olli Juolevi	Kaedan Korczak	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	Olli Juolevi	Kaedan Korczak	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	Olli Juolevi	Kaedan Korczak	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	Olli Juolevi	Kaedan Korczak	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
, , Olli Juolevi		, Olli Juolevi

Penalty Shots
, , , ,

Goalie
#1 : Thomas Greiss, #2 :

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

Custom OT Lines Defensemen
, , Olli Juolevi, Kaedan Korczak,

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
1	Bakersfield Condors	1	1	0	0	0	0	0	0	7	4	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	7	4	3	2	1.000	7	13	20	0	0	95	70	51	7	38	666	661	617	26	36	5	27	16	6	3	50.00%	6	1	83.33%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
2	Belleville Senators	4	2	1	0	1	0	0	0	18	15	3	1	1	0	0	0	0	0	0	5	4	1	3	1	1	0	1	0	0	0	13	11	2	6	0.750	18	34	52	0	0	95	70	51	7	126	666	661	617	26	115	38	44	87	29	6	20.69%	22	5	77.27%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
3	Binghamton Devils	3	2	1	0	0	0	0	0	6	5	1	2	2	0	0	0	0	0	0	6	3	3	1	0	1	0	0	0	0	0	0	2	-2	4	0.667	6	12	18	0	0	95	70	51	7	71	666	661	617	26	71	25	42	61	13	3	23.08%	19	0	100.00%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
4	Bridgeport Islanders	3	2	1	0	0	0	0	0	10	9	1	2	2	0	0	0	0	0	0	8	6	2	1	0	1	0	0	0	0	0	2	3	-1	4	0.667	10	20	30	0	0	95	70	51	7	89	666	661	617	26	93	22	44	71	21	4	19.05%	19	5	73.68%	1	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
5	Charlotte Checkers	4	3	1	0	0	0	0	0	13	11	2	2	1	1	0	0	0	0	0	5	5	0	2	2	0	0	0	0	0	0	8	6	2	6	0.750	13	26	39	0	0	95	70	51	7	109	666	661	617	26	110	34	56	108	27	4	14.81%	28	4	85.71%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
6	Chicago Wolves	4	1	3	0	0	0	0	0	9	15	-6	2	0	2	0	0	0	0	0	4	11	-7	2	1	1	0	0	0	0	0	5	4	1	2	0.250	9	16	25	0	1	95	70	51	7	118	666	661	617	26	120	35	66	107	28	5	17.86%	32	7	78.13%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
7	Cleveland Monsters	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	95	70	51	7	18	666	661	617	26	50	11	20	30	3	1	33.33%	9	0	100.00%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
8	Colorado Eagles	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	95	70	51	7	39	666	661	617	26	17	2	12	22	8	1	12.50%	6	3	50.00%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
9	Firebirds	3	1	2	0	0	0	0	0	6	8	-2	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	6	12	18	0	0	95	70	51	7	68	666	661	617	26	88	20	59	72	11	1	9.09%	24	4	83.33%	1	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
10	Grand Rapids Griffins	1	1	0	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	10	15	0	0	95	70	51	7	32	666	661	617	26	41	7	14	24	5	3	60.00%	7	1	85.71%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
11	Hartford Wolf Pack	5	3	2	0	0	0	0	0	11	13	-2	4	2	2	0	0	0	0	0	8	11	-3	1	1	0	0	0	0	0	0	3	2	1	6	0.600	11	22	33	0	0	95	70	51	7	125	666	661	617	26	109	48	52	98	37	6	16.22%	26	3	88.46%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
12	Hershey Bears	4	0	3	0	0	1	0	0	8	18	-10	2	0	1	0	0	1	0	0	5	7	-2	2	0	2	0	0	0	0	0	3	11	-8	1	0.125	8	16	24	0	0	95	70	51	7	80	666	661	617	26	140	56	104	115	17	3	17.65%	40	10	75.00%	1	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
13	Iowa Wild	2	0	1	0	0	1	0	0	4	9	-5	1	0	0	0	0	1	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	5	-4	1	0.250	4	8	12	0	0	95	70	51	7	48	666	661	617	26	77	21	22	44	10	2	20.00%	7	2	71.43%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
14	Laval Rocket	3	2	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	3	2	1	2	1	1	0	0	0	0	0	3	5	-2	4	0.667	6	12	18	0	1	95	70	51	7	83	666	661	617	26	82	18	21	90	21	0	0.00%	8	1	87.50%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
15	Lehigh Valley Phantoms	3	3	0	0	0	0	0	0	16	9	7	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	11	6	5	6	1.000	16	32	48	0	0	95	70	51	7	107	666	661	617	26	80	12	35	86	24	6	25.00%	14	3	78.57%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
16	Manitoba Moose	5	4	1	0	0	0	0	0	18	11	7	2	1	1	0	0	0	0	0	6	6	0	3	3	0	0	0	0	0	0	12	5	7	8	0.800	18	32	50	0	1	95	70	51	7	179	666	661	617	26	113	42	61	91	42	8	19.05%	28	4	85.71%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
17	Milwaukee Admirals	1	0	0	0	0	0	1	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	3	2	1	2	1.000	3	4	7	0	0	95	70	51	7	31	666	661	617	26	43	6	20	30	5	1	20.00%	9	1	88.89%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
18	Ontario Reign	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	95	70	51	7	24	666	661	617	26	26	6	16	16	6	0	0.00%	8	2	75.00%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
19	Providence Bruins	3	2	1	0	0	0	0	0	12	8	4	1	1	0	0	0	0	0	0	4	2	2	2	1	1	0	0	0	0	0	8	6	2	4	0.667	12	20	32	0	0	95	70	51	7	104	666	661	617	26	95	31	47	60	15	2	13.33%	18	0	100.00%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
20	Rochester Americans	3	1	1	0	0	0	1	0	9	6	3	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	0	1	0	8	3	5	4	0.667	9	15	24	1	0	95	70	51	7	65	666	661	617	26	87	29	41	60	9	2	22.22%	18	1	94.44%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
21	Rockford Icehogs	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	1	3	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	8	12	0	0	95	70	51	7	20	666	661	617	26	27	8	4	15	4	2	50.00%	2	0	100.00%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
22	San Antonio Rampage	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	2	2	2	1.000	4	8	12	0	0	95	70	51	7	34	666	661	617	26	43	16	12	28	5	2	40.00%	6	2	66.67%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
23	San Diego Gulls	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	1	3	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	1	1	2	0	0	95	70	51	7	21	666	661	617	26	23	10	19	14	6	1	16.67%	7	1	85.71%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
24	San Jose Barracuda	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	5	9	14	0	0	95	70	51	7	26	666	661	617	26	33	10	31	25	4	1	25.00%	8	2	75.00%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
25	Springfield Thunderbirds	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	3	5	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	3	6	9	0	0	95	70	51	7	20	666	661	617	26	30	8	22	21	2	1	50.00%	11	4	63.64%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
26	Stockton Heat	1	0	0	0	1	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	3	2	1	2	1.000	3	6	9	0	0	95	70	51	7	25	666	661	617	26	48	13	16	29	4	1	25.00%	8	0	100.00%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
27	Texas Stars	1	0	1	0	0	0	0	0	5	6	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	5	9	14	0	0	95	70	51	7	19	666	661	617	26	53	7	18	30	1	0	0.00%	9	2	77.78%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
28	Toronto Marlies	4	1	1	0	1	1	0	0	14	14	0	1	0	0	0	0	1	0	0	3	4	-1	3	1	1	0	1	0	0	0	11	10	1	5	0.625	14	26	40	0	0	95	70	51	7	104	666	661	617	26	173	41	56	98	19	4	21.05%	27	4	85.19%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
29	Tucson Roadrunners	1	0	1	0	0	0	0	0	2	5	-3	1	0	1	0	0	0	0	0	2	5	-3	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	95	70	51	7	21	666	661	617	26	41	16	10	15	8	2	25.00%	5	1	80.00%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
30	Utica Comets	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	95	70	51	7	19	666	661	617	26	41	11	18	29	4	1	25.00%	9	1	88.89%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
31	Wilkes-Barre/Scranton Penguins	4	2	2	0	0	0	0	0	11	11	0	3	1	2	0	0	0	0	0	7	9	-2	1	1	0	0	0	0	0	0	4	2	2	4	0.500	11	20	31	0	0	95	70	51	7	99	666	661	617	26	128	32	70	72	19	1	5.26%	24	3	87.50%	0	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
	Total	72	34	30	0	3	3	2	0	221	222	-1	36	17	16	0	0	3	0	0	100	113	-13	36	17	14	0	3	0	2	0	121	109	12	81	0.563	221	417	638	1	3	95	70	51	7	1962	666	661	617	26	2233	640	1079	1664	413	77	18.64%	464	77	83.41%	3	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
	_Since Last GM Reset	72	34	30	0	3	3	2	0	221	222	-1	36	17	16	0	0	3	0	0	100	113	-13	36	17	14	0	3	0	2	0	121	109	12	81	0.563	221	417	638	1	3	95	70	51	7	1962	666	661	617	26	2233	640	1079	1664	413	77	18.64%	464	77	83.41%	3	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400
	_Vs Conference	55	29	21	0	2	2	1	0	167	160	7	27	14	11	0	0	2	0	0	74	80	-6	28	15	10	0	2	0	1	0	93	80	13	66	0.600	167	315	482	1	3	95	70	51	7	1527	666	661	617	26	1604	483	798	1276	332	55	16.57%	347	54	84.44%	3	1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%	1656	1155	1872	503	815	400

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
72	81	W5	221	417	638	1962	2233	640	1079	1664	1	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
72	34	30	3	3	2	0	221	222

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	17	16	0	3	0	0	100	113

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	17	14	3	0	2	0	121	109

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	4	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
413	77	18.64%	464	77	83.41%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
666	661	617	26	95	70	51	7

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1048	2202	47.59%	1109	2372	46.75%	510	1086	46.96%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1656	1155	1872	503	815	400

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	Link
1 - 2023-09-26	5	Syracuse Crunch	2	Manitoba Moose	0	W			BoxScore
4 - 2023-09-29	22	Hartford Wolf Pack	3	Syracuse Crunch	1	L			BoxScore
7 - 2023-10-02	42	Hartford Wolf Pack	6	Syracuse Crunch	2	L			BoxScore
8 - 2023-10-03	47	Syracuse Crunch	4	Toronto Marlies	3	W	X		BoxScore
11 - 2023-10-06	62	Syracuse Crunch	5	Belleville Senators	3	W			BoxScore
14 - 2023-10-09	82	Wilkes-Barre/Scranton Penguins	2	Syracuse Crunch	3	W			BoxScore
17 - 2023-10-12	100	Syracuse Crunch	2	Chicago Wolves	0	W			BoxScore
19 - 2023-10-14	110	Syracuse Crunch	4	Manitoba Moose	2	W			BoxScore
21 - 2023-10-16	121	Chicago Wolves	6	Syracuse Crunch	2	L			BoxScore
23 - 2023-10-18	135	Syracuse Crunch	5	Lehigh Valley Phantoms	2	W			BoxScore
26 - 2023-10-21	147	Syracuse Crunch	4	Charlotte Checkers	3	W			BoxScore
27 - 2023-10-22	158	Wilkes-Barre/Scranton Penguins	3	Syracuse Crunch	1	L			BoxScore
30 - 2023-10-25	173	Syracuse Crunch	4	Belleville Senators	5	L			BoxScore
32 - 2023-10-27	190	Charlotte Checkers	2	Syracuse Crunch	4	W			BoxScore
35 - 2023-10-30	208	Syracuse Crunch	6	Providence Bruins	3	W			BoxScore
37 - 2023-11-01	221	Manitoba Moose	4	Syracuse Crunch	3	L			BoxScore
40 - 2023-11-04	240	Syracuse Crunch	3	Milwaukee Admirals	2	W	X	X	BoxScore
42 - 2023-11-06	252	Lehigh Valley Phantoms	3	Syracuse Crunch	5	W			BoxScore
44 - 2023-11-08	264	Syracuse Crunch	2	Providence Bruins	3	L			BoxScore
46 - 2023-11-10	276	Syracuse Crunch	4	Wilkes-Barre/Scranton Penguins	2	W			BoxScore
48 - 2023-11-12	288	Springfield Thunderbirds	5	Syracuse Crunch	3	L			BoxScore
51 - 2023-11-15	306	Syracuse Crunch	3	Chicago Wolves	4	L			BoxScore
53 - 2023-11-17	320	Hartford Wolf Pack	1	Syracuse Crunch	2	W			BoxScore
58 - 2023-11-22	349	Syracuse Crunch	2	Bridgeport Islanders	3	L			BoxScore
59 - 2023-11-23	353	Wilkes-Barre/Scranton Penguins	4	Syracuse Crunch	3	L			BoxScore
62 - 2023-11-26	366	Syracuse Crunch	6	Manitoba Moose	3	W			BoxScore
64 - 2023-11-28	383	Toronto Marlies	4	Syracuse Crunch	3	L	X		BoxScore
66 - 2023-11-30	398	Syracuse Crunch	4	Belleville Senators	3	W	X		BoxScore
69 - 2023-12-03	415	Charlotte Checkers	3	Syracuse Crunch	1	L			BoxScore
71 - 2023-12-05	423	Syracuse Crunch	5	San Jose Barracuda	6	L			BoxScore
73 - 2023-12-07	436	Syracuse Crunch	6	Lehigh Valley Phantoms	4	W			BoxScore
75 - 2023-12-09	448	Chicago Wolves	5	Syracuse Crunch	2	L			BoxScore
78 - 2023-12-12	465	Syracuse Crunch	4	Charlotte Checkers	3	W			BoxScore
81 - 2023-12-15	479	Manitoba Moose	2	Syracuse Crunch	3	W			BoxScore
84 - 2023-12-18	508	Firebirds	2	Syracuse Crunch	1	L			BoxScore
87 - 2023-12-21	524	Syracuse Crunch	3	Stockton Heat	2	W	X		BoxScore
89 - 2023-12-23	538	Syracuse Crunch	7	Bakersfield Condors	4	W			BoxScore
90 - 2023-12-24	544	Providence Bruins	2	Syracuse Crunch	4	W			BoxScore
94 - 2023-12-28	567	Syracuse Crunch	0	Binghamton Devils	2	L			BoxScore
95 - 2023-12-29	575	San Diego Gulls	3	Syracuse Crunch	1	L			BoxScore
101 - 2024-01-04	607	Cleveland Monsters	4	Syracuse Crunch	2	L			BoxScore
104 - 2024-01-07	626	Syracuse Crunch	0	Ontario Reign	2	L			BoxScore
106 - 2024-01-09	636	Syracuse Crunch	3	Hartford Wolf Pack	2	W			BoxScore
107 - 2024-01-10	639	Grand Rapids Griffins	4	Syracuse Crunch	5	W			BoxScore
111 - 2024-01-14	667	Syracuse Crunch	3	Rochester Americans	2	W	X	X	BoxScore
112 - 2024-01-15	672	Rockford Icehogs	1	Syracuse Crunch	4	W			BoxScore
117 - 2024-01-20	701	Belleville Senators	4	Syracuse Crunch	5	W			BoxScore
120 - 2024-01-23	718	Syracuse Crunch	5	Texas Stars	6	L			BoxScore
122 - 2024-01-25	733	Utica Comets	4	Syracuse Crunch	2	L			BoxScore
126 - 2024-01-29	762	Iowa Wild	4	Syracuse Crunch	3	L	X		BoxScore
128 - 2024-01-31	772	Syracuse Crunch	1	Iowa Wild	5	L			BoxScore
131 - 2024-02-03	792	Laval Rocket	2	Syracuse Crunch	3	W			BoxScore
133 - 2024-02-05	803	Syracuse Crunch	2	Hershey Bears	5	L			BoxScore
136 - 2024-02-08	825	Colorado Eagles	3	Syracuse Crunch	4	W			BoxScore
138 - 2024-02-10	835	Syracuse Crunch	1	Hershey Bears	6	L			BoxScore
140 - 2024-02-12	855	Syracuse Crunch	5	Toronto Marlies	3	W			BoxScore
141 - 2024-02-13	862	Firebirds	2	Syracuse Crunch	3	W			BoxScore
146 - 2024-02-18	890	Hartford Wolf Pack	1	Syracuse Crunch	3	W			BoxScore
149 - 2024-02-21	916	Bridgeport Islanders	2	Syracuse Crunch	3	W			BoxScore
151 - 2024-02-23	928	Syracuse Crunch	2	Laval Rocket	5	L			BoxScore
153 - 2024-02-25	938	Syracuse Crunch	5	Rochester Americans	1	W			BoxScore
155 - 2024-02-27	949	Syracuse Crunch	2	Toronto Marlies	4	L			BoxScore
156 - 2024-02-28	960	Rochester Americans	3	Syracuse Crunch	1	L			BoxScore
160 - 2024-03-03	984	Hershey Bears	3	Syracuse Crunch	2	L			BoxScore
162 - 2024-03-05	997	Syracuse Crunch	2	Firebirds	4	L			BoxScore
165 - 2024-03-08	1019	Hershey Bears	4	Syracuse Crunch	3	L	X		BoxScore
171 - 2024-03-14	1049	Tucson Roadrunners	5	Syracuse Crunch	2	L			BoxScore
174 - 2024-03-17	1072	Bridgeport Islanders	4	Syracuse Crunch	5	W			BoxScore
177 - 2024-03-20	1087	Syracuse Crunch	1	Laval Rocket	0	W			BoxScore
181 - 2024-03-24	1110	Binghamton Devils	1	Syracuse Crunch	3	W			BoxScore
183 - 2024-03-26	1121	Syracuse Crunch	4	San Antonio Rampage	2	W			BoxScore
187 - 2024-03-30	1144	Binghamton Devils	2	Syracuse Crunch	3	W			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
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	Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	543,500$	90,000$	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$	1	2,861$	2,861$

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	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

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

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

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	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

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: 72 \| W: 39 \| L: 30 \| OTL: 3 \| P: 81 GF: 221 \| GA: 222 \| PP%: 18.64% \| PK%: 83.41% GM : Alain \| Morale : 80 \| Team Overall : 61