Columbus Blue Jackets
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Team Leaders

Team Stats

Team Info
	General Manager	Greg Stack
	Coach	Luke Richardson
	Division	Metropolitan
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	300
Roster Info
	Pro Team	14
	Farm Team	16
	Contract Limit	30 / 50
	Prospects	38
Team History
	This Season	0-0-0 (0PTS)
	History	33-38-12 (0.398%)
	Playoff Appearances	1
	Playoff Record (W-L)	0-0
	Stanley Cup	0

Show or Hide Column

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Max Willman (R)	X	X			100.00	72	35	89	76	71	81	82	71	70	69	68	71	66	69	67	0	50	68	0	28	1	650,000$
2	Filip Kral (R)				X	100.00	73	30	84	72	73	78	79	65	30	63	53	72	46	67	67	0	50	67	0	24	2	650,000$
3	Brandon Crawley (R)				X	100.00	80	75	67	74	78	75	75	61	30	58	47	69	42	68	65	0	50	66	0	26	1	700,000$
Scratches
1	Alexei Toropchenko (R)			X		100.00	76	46	85	84	76	82	84	68	61	65	64	70	63	71	71	0	50	68	0	24	0	0$
2	Justin Brazeau (R)			X		100.00	81	30	89	70	87	81	81	69	66	68	66	68	64	68	68	0	50	67	0	25	0	0$
3	Kristian Reichel (R)	X				100.00	69	30	89	76	70	79	79	68	72	65	67	70	67	73	73	0	50	67	0	25	0	0$
4	Reese Johnson (R)	X		X		100.00	75	74	76	75	77	80	80	66	81	65	63	69	60	71	72	0	50	67	0	25	0	0$
5	Martin Pospisil (R)	X				100.00	78	76	72	75	70	76	74	67	73	66	63	69	60	68	70	0	50	66	0	24	0	0$
6	Erik Brown (R)		X			100.00	75	50	81	70	75	77	77	65	66	64	65	69	63	68	68	0	50	65	0	28	0	0$
7	Brett Davis (R)			X		100.00	71	35	83	74	72	74	72	67	71	65	62	68	64	62	64	0	50	65	0	24	1	500,000$
8	Brayden Pachal (R)				X	100.00	76	45	79	75	81	82	83	65	30	63	47	73	38	71	74	0	50	69	0	24	0	0$
9	Tobie Bisson (R)				X	100.00	74	30	81	74	73	80	79	65	30	63	54	73	47	67	68	0	50	67	0	26	0	0$
10	Dean Stewart (R)				X	100.00	69	30	86	71	70	74	75	63	30	61	51	69	46	64	66	0	50	64	0	25	1	475,000$

	TEAM AVERAGE					100.00	75	45	82	74	75	78	78	66	55	64	59	70	56	68	69	0	50	67

Show or Hide Column

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Eetu Makiniemi (R)	100.00	89	75	75	84	90	86	87	87	87	83	80	67	66	0	50	81	0	24	2	700,000$
Scratches

	TEAM AVERAGE	100.00	89	75	75	84	90	86	87	87	87	83	80	67	66	0	50	81

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Luke Richardson	84	70	80	61	72	72	50	CAN	54	2	800,000$

Show or Hide Column

Filter Tips

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

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

Show or Hide Column

Filter Tips

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

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

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Link
Alexei Toropchenko	Syracuse Crunch (CLB)	RW	24	6/25/1999 8:05:35 AM	Yes	187 Lbs	6 ft3	No	No	No	No	0	Pro & Farm		0$	0$	No		Link / NHL Link
Brandon Crawley	Syracuse Crunch (CLB)	D	26	2/2/1997 7:11:35 AM	Yes	202 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	700,000$	0$	0$	No		Link / NHL Link
Brayden Pachal	Syracuse Crunch (CLB)	D	24	8/23/1999 6:10:01 AM	Yes	200 Lbs	6 ft0	No	No	No	No	0	Pro & Farm		0$	0$	No		Link / NHL Link
Brett Davis	Syracuse Crunch (CLB)	RW	24	6/1/1999 7:07:47 AM	Yes	190 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	500,000$	0$	0$	No		NHL Link
Dean Stewart	Syracuse Crunch (CLB)	D	25	6/12/1998 7:09:02 AM	Yes	170 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	475,000$	0$	0$	No		NHL Link
Eetu Makiniemi	Syracuse Crunch (CLB)	G	24	4/19/1999 4:14:22 AM	Yes	184 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	700,000$	0$	0$	No	700,000$	NHL Link
Erik Brown	Syracuse Crunch (CLB)	LW	28	9/30/1995 3:44:06 PM	Yes	194 Lbs	6 ft2	No	No	No	No	0	Pro & Farm		0$	0$	No		NHL Link
Filip Kral	Syracuse Crunch (CLB)	D	24	10/20/1999 4:24:00 AM	Yes	198 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	650,000$	0$	0$	No	650,000$	NHL Link
Justin Brazeau	Syracuse Crunch (CLB)	RW	25	2/2/1998 4:00:31 PM	Yes	220 Lbs	6 ft5	No	No	No	No	0	Pro & Farm		0$	0$	No		NHL Link
Kristian Reichel	Syracuse Crunch (CLB)	C	25	6/11/1998 5:59:17 AM	Yes	168 Lbs	6 ft0	No	No	No	No	0	Pro & Farm		0$	0$	No		Link / NHL Link
Martin Pospisil	Syracuse Crunch (CLB)	C	24	11/19/1999 8:07:11 AM	Yes	173 Lbs	6 ft2	No	No	No	No	0	Pro & Farm		0$	0$	No		NHL Link
Max Willman	Syracuse Crunch (CLB)	C/LW	28	2/13/1995 7:05:53 AM	Yes	184 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	650,000$	0$	0$	No		NHL Link
Reese Johnson	Syracuse Crunch (CLB)	C/RW	25	7/10/1998 6:03:59 AM	Yes	193 Lbs	6 ft1	No	No	No	No	0	Pro & Farm		0$	0$	No		Link / NHL Link
Tobie Bisson	Syracuse Crunch (CLB)	D	26	2/1/1997 4:36:12 PM	Yes	194 Lbs	6 ft3	No	No	No	No	0	Pro & Farm		0$	0$	No		NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
14	25.14	190 Lbs	6 ft2	0.57	262,500$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Max Willman	25	1	0	4
2				25	1	3	1
3				25	4	1	0
4	Max Willman			25	2	0	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			25	1	2	2
2			25	1	2	2
3			25	1	2	2
4	Filip Kral		25	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Max Willman	50	1	2	2
2				50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			50	1	2	2
2	Max Willman		50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		50	1	2	2			50	1	2	2
2	Max Willman	50	1	2	2			50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Max Willman		50	1	2	2
2			50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Max Willman

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Max Willman

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Max Willman,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, , Filip Kral		,

Penalty Shots
Max Willman, , , ,

Goalie
#1 : , #2 : Eetu Makiniemi

Custom OT Lines Forwards
, , , Max Willman, , , , , , ,

Custom OT Lines Defensemen
, Filip Kral, , ,

Show or Hide Column

Filter Tips

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

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

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

All Games
GP	W	L	OTW	OTL	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	0.00%	0	0	0.00%	0

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

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

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

Last Played Games Show or Hide Column

Filter Tips

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

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	0.00%	0.00%
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	367,500$	367,500$	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$	0	0$	0$

Syracuse Crunch Players Stat Leaders (Regular Season)

Show or Hide Column

#	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	Max Willman	82	23	30	53	-9	14	99	170	236	9.75%	17	1649	20.12	4	6	10	23	3	3	1	45.04	0	0.64	1	6
2	Lucas Wallmark	74	25	27	52	-8	24	103	224	213	11.74%	13	1523	20.59	4	4	8	19	5	5	0	52.82	0	0.68	0	7
3	Cole Ully	82	22	27	49	-15	18	104	164	264	8.33%	14	1971	24.04	1	5	6	26	2	3	2	44.20	1	0.50	0	6
4	Joel Kellman	82	22	27	49	-11	6	54	216	297	7.41%	29	1762	21.50	6	4	10	39	3	4	2	50.62	0	0.56	2	9
5	Mark Borowiecki	81	8	35	43	10	74	259	113	88	9.09%	128	1891	23.35	1	4	5	29	1	1	1	0.00%	0	0.45	0	0

Syracuse Crunch Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Keith Kinkaid	72	27	34	10	0.917	2.73	4246	12	4	193	2338	0	1	2	0.780	41
2	Eetu Makiniemi	14	6	4	1	0.932	2.34	745	4	1	29	424	0	1	0	0.667	3

Syracuse Crunch Career Team Stats

Show or Hide Column

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2022	82	24	38	0	4	3	5	8	199	232	-33	41	14	19	0	0	1	3	4	102	109	-7	41	10	19	0	4	2	2	4	97	123	-26	77	199	350	549	2	5	81	56	53	12	2180	720	717	709	79	2764	748	530	1977	178	29	16.29%	237	44	81.43%	0	1340	2650	50.57%	1428	3007	47.49%	634	1256	50.48%	1861	1261	2065	618	1074	526
Total Regular Season	82	24	38	0	4	3	5	8	199	232	-33	41	14	19	0	0	1	3	4	102	109	-7	41	10	19	0	4	2	2	4	97	123	-26	77	199	350	549	2	5	81	56	53	12	2180	720	717	709	79	2764	748	530	1977	178	29	16.29%	237	44	81.43%	0	1340	2650	50.57%	1428	3007	47.49%	634	1256	50.48%	1861	1261	2065	618	1074	526
Playoff
Total Playoff	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	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	0	0	0	0	0	0

Syracuse Crunch Players Stat Leaders (Play-Off)

Show or Hide Column

#	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 Column

#	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 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0.00% \| PK%: 0.00% GM : Greg Stack \| Morale : 50 \| Team Overall : 68