Lightning
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stats

Game Center
	Griffins 41-30-11, 93pts	3	Box score	5	Syracruse Crunch 41-36-5, 87pts

Team Stats
W1	Streak	L1
20-13-8	Home Record	18-19-4
21-17-3	Home Record	23-17-1
8-1-1	Last 10 Games	4-6-0
3.74	Goals Per Game	3.60
3.44	Goals Against Per Game	3.45
27.15%	Power Play Percentage	21.58%
80.46%	Penalty Kill Percentage	75.25%

Wolf Pack
43-35-4, 90pts

Box score

Syracruse Crunch
41-36-5, 87pts

Team Stats
W2	Streak	L1
20-19-2	Home Record	18-19-4
23-16-2	Home Record	23-17-1
4-5-1	Last 10 Games	4-6-0
3.30	Goals Per Game	3.60
3.44	Goals Against Per Game	3.45
24.60%	Power Play Percentage	21.58%
81.29%	Penalty Kill Percentage	75.25%

Team Leaders
	Goals Tim Gettinger 31	Assists Emil Andrae 69

	Points Emil Andrae 86	Plus/Minus Oscar Eklind 26

	Wins Ales Stezka 39	Save Percentage Felix Sandstrom 0.949

Team Stats
Goals For 295 3.60 GFG	Shots For 2951 35.99 Avg	Power Play Percentage 21.6% 63 GF	Offensive Zone Start 40.3%
Goals Against 283 3.45 GAA	Shots Against 3086 37.63 Avg	Penalty Kill Percentage 75.3%% 74 GA	Defensive Zone Start 42.2%

Team Info
	General Manager	Pier-Olivier Jacques
	Coach	Michael Leone
	Division	Atlantic Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,800
	Season Tickets	300
Roster Info
	Pro Team	23
	Farm Team	22
	Contract Limit	45 / 60
	Prospects	4

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	Tim Gettinger	0		X			100.00	87	51	90	58	96	77	80	59	56	58	61	62	59	67	69	0	64	64	0	28	3	1,000,000$
2	C.J. Smith (R)	0		X			100.00	60	37	91	61	69	87	65	59	68	64	61	61	58	71	73	0	41	62	0	31	3	1,000,000$
3	Pavol Regenda	0		X			100.00	78	42	72	59	88	86	84	56	61	58	61	62	56	66	68	0	64	62	0	26	3	1,000,000$
4	Henri Nikkanen	0	X				100.00	77	38	93	57	86	67	72	55	63	56	58	58	55	64	66	0	64	61	0	25	3	1,000,000$
5	Rhett Gardner	0	X		X		100.00	73	42	68	58	85	77	83	57	71	55	60	59	54	69	71	0	64	61	0	30	3	1,000,000$
6	Oscar Eklind	0		X			100.00	81	41	86	56	90	73	71	55	62	58	58	59	55	67	69	0	67	61	0	28	3	1,000,000$
7	Felix Unger Sorum (R)	0			X		100.00	62	37	94	59	71	69	71	57	61	58	58	56	55	60	62	0	64	60	0	20	1	1,000,000$
8	Justin Ertel (R)	0		X			100.00	70	40	77	58	79	65	63	56	61	59	58	57	55	62	64	0	64	60	0	23	1	1,000,000$
9	Simon Robertsson (R)	0		X	X		100.00	63	38	85	60	72	77	64	58	62	59	60	56	58	62	64	0	64	60	0	23	1	1,000,000$
10	Victor Mancini (R)	0				X	100.00	77	40	87	66	89	82	72	63	30	65	62	60	50	63	65	0	67	64	0	24	3	1,000,000$
11	Emil Andrae	0				X	100.00	64	38	75	65	67	84	85	64	30	66	62	62	51	63	65	0	64	63	0	24	3	1,000,000$
12	Riley Stillman	0				X	100.00	75	62	66	60	82	69	76	59	30	60	61	65	51	67	69	0	32	62	0	28	3	1,000,000$
13	Brandon Scanlin	0				X	100.00	77	40	83	58	91	75	84	56	30	53	59	59	47	66	68	0	64	61	0	27	3	1,000,000$
14	Dysin Mayo	0				X	100.00	68	43	66	58	77	71	83	56	30	57	59	59	47	69	71	0	64	61	0	30	3	1,000,000$
15	Reilly Walsh	0				X	100.00	62	38	87	60	71	70	84	57	30	61	59	56	47	66	68	0	67	61	0	27	3	1,000,000$
16	Dawson Barteaux	0				X	100.00	65	38	93	57	74	65	76	56	30	58	56	54	46	65	67	0	32	60	0	26	3	1,000,000$
17	Montana Onyebuchi	0				X	100.00	75	61	50	56	84	67	81	55	30	54	57	57	45	65	67	0	21	59	0	26	3	1,000,000$
18	Grant Gabriele	0				X	100.00	71	38	94	53	80	64	62	52	30	51	54	54	45	68	70	0	21	58	0	29	3	1,000,000$
19	Cam McDonald	0				X	100.00	55	37	84	54	64	62	63	53	30	52	54	55	45	64	66	0	22	56	0	25	3	1,000,000$
Scratches

	TEAM AVERAGE						100.00	71	42	81	59	80	73	75	57	46	58	59	58	52	65	67	0	53	61

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	Ales Stezka	0	100.00	75	81	76	84	74	73	75	74	73	75	74	68	81	0	45	66	0	29	3	1,000,000$
2	Felix Sandstrom	0	100.00	74	80	75	83	73	72	74	73	72	74	73	68	81	0	81	65	0	29	3	1,000,000$
Scratches
1	Benjamin Kraws	0	100.00	68	72	68	88	67	66	68	67	66	68	67	65	73	0	20	62	0	26	3	1,000,000$
2	Yaniv Perets (R)	0	100.00	60	72	68	74	59	58	60	59	58	60	59	65	73	0	20	57	0	26	3	1,000,000$

	TEAM AVERAGE		100.00	69	76	72	82	68	67	69	68	67	69	68	67	77	0	42	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Michael Leone	62	73	74	72	57	54	88	USA	37	3	2,500,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	S1	S2	S3
1	Emil Andrae	Syracruse Crunch (TBL)	D	82	17	69	86	10	36	0	135	148	177	67	141	9.60%	116	1818	22.18	8	16	24	104	226	1	0	1	3	225	1	1	0%	0	0	0	0.95	0	0	0	4	4	3
2	Mike Hardman	Lightning	LW	75	31	37	68	-1	43	5	121	127	292	80	185	10.62%	33	1554	20.72	5	3	8	39	100	0	0	0	7	215	8	0	49.31%	144	0	0	0.87	0	1	0	3	9	1
3	Rhett Gardner	Syracruse Crunch (TBL)	C/RW	82	30	29	59	-6	54	0	196	146	263	68	177	11.41%	22	1565	19.09	11	9	20	59	244	0	0	0	0	1	4	2	56.24%	1097	0	0	0.75	0	0	0	1	3	5
4	Tim Gettinger	Syracruse Crunch (TBL)	LW	82	31	26	57	18	60	0	152	137	260	53	176	11.92%	27	1437	17.53	4	3	7	28	123	0	0	0	1	110	5	4	47.22%	252	0	0	0.79	0	2	0	4	3	3
5	Victor Mancini	Syracruse Crunch (TBL)	D	75	11	46	57	-1	82	0	163	107	178	43	119	6.18%	105	1812	24.17	4	20	24	98	244	0	1	1	2	209	1	2	0%	1	0	0	0.63	0	1	0	3	0	2
6	Noah Gregor	Lightning	LW/RW	53	20	36	56	13	28	0	143	157	260	84	179	7.69%	28	1293	24.41	3	10	13	60	176	0	1	1	4	175	2	1	51.29%	661	0	0	0.87	0	1	0	5	3	2
7	Simon Robertsson	Syracruse Crunch (TBL)	LW/RW	82	21	32	53	-3	6	0	37	95	241	69	165	8.71%	11	1451	17.70	4	8	12	55	225	0	0	0	0	0	1	0	55.45%	110	0	0	0.73	0	0	0	1	2	2
8	Pavol Regenda	Syracruse Crunch (TBL)	LW	82	26	25	51	8	48	0	165	138	159	62	131	16.35%	23	1077	13.14	3	6	9	22	106	0	0	0	2	70	9	1	52.01%	971	1	1	0.95	0	0	0	4	3	3
9	Henri Nikkanen	Syracruse Crunch (TBL)	C	82	24	24	48	7	34	0	129	206	180	50	146	13.33%	24	1578	19.25	9	13	22	48	254	0	0	0	1	36	3	1	52.25%	2180	2	2	0.61	0	0	0	2	3	3
10	Jackson Blake	Lightning	RW	34	17	20	37	10	4	0	18	74	129	48	106	13.18%	7	829	24.40	4	3	7	21	116	0	0	0	4	100	2	0	50.00%	72	0	0	0.89	1	1	0	1	3	4
11	Brandon Scanlin	Syracruse Crunch (TBL)	D	82	11	24	35	6	52	0	138	66	112	31	69	9.82%	77	1265	15.44	0	0	0	0	1	0	0	0	0	38	0	0	17.65%	34	0	0	0.55	0	0	0	1	1	1
12	Reilly Walsh	Syracruse Crunch (TBL)	D	82	7	28	35	12	23	5	61	75	74	32	47	9.46%	89	1395	17.02	2	5	7	27	103	0	0	0	0	137	0	0	0%	0	0	0	0.50	0	0	1	0	3	2
13	Riley Stillman	Syracruse Crunch (TBL)	D	41	4	27	31	12	58	0	109	52	66	34	51	6.06%	80	760	18.55	1	7	8	41	101	0	0	0	0	113	1	1	0%	0	0	0	0.82	0	0	0	3	0	1
14	Felix Unger Sorum	Syracruse Crunch (TBL)	RW	58	11	20	31	11	6	0	47	71	100	19	78	11.00%	21	877	15.12	0	0	0	0	0	0	0	0	2	28	1	1	53.03%	66	0	0	0.71	0	0	0	0	0	5
15	Oscar Eklind	Syracruse Crunch (TBL)	LW	82	8	23	31	26	35	5	51	67	92	26	67	8.70%	13	648	7.91	0	1	1	0	4	0	0	0	0	2	0	1	51.66%	664	0	0	0.96	0	0	1	1	1	0
16	Ty Emberson	Lightning	D	34	9	20	29	-2	20	0	68	90	108	23	64	8.33%	80	849	24.97	4	5	9	69	122	0	0	0	1	77	0	0	0%	0	3	0	0.68	0	0	0	3	1	0
17	C.J. Smith	Syracruse Crunch (TBL)	LW	41	9	15	24	-3	2	0	41	83	114	23	77	7.89%	19	668	16.32	0	0	0	0	0	0	0	0	0	0	0	0	48.35%	637	0	0	0.72	0	0	0	2	0	1
18	Dysin Mayo	Syracruse Crunch (TBL)	D	82	3	16	19	9	44	0	160	50	62	24	38	4.84%	63	1171	14.28	1	4	5	17	105	0	0	0	1	108	1	2	33.33%	3	0	0	0.32	0	0	0	0	0	0
19	Justin Ertel	Syracruse Crunch (TBL)	LW	82	1	4	5	1	2	0	20	26	34	12	33	2.94%	4	300	3.66	0	0	0	1	6	0	0	0	1	48	0	1	50.00%	60	0	0	0.33	0	0	0	0	0	0
20	Montana Onyebuchi	Syracruse Crunch (TBL)	D	17	1	3	4	2	6	0	24	11	3	1	3	33.33%	4	90	5.31	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0.89	0	0	0	0	0	0
21	Dawson Barteaux	Syracruse Crunch (TBL)	D	17	0	3	3	2	0	0	0	2	3	2	3	0%	5	90	5.31	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0	0.66	0	0	0	0	0	0
22	Cam McDonald	Syracruse Crunch (TBL)	D	17	0	0	0	0	0	0	0	3	0	0	0	0%	1	23	1.37	0	0	0	0	0	0	0	0	0	22	0	0	0%	0	0	0	0	0	0	0	0	0	0
23	Grant Gabriele	Syracruse Crunch (TBL)	D	17	0	0	0	-1	0	0	2	0	2	0	0	0%	1	4	0.27	0	0	0	1	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1381	292	527	819	130	643	15	1980	1931	2909	851	2055	10.04%	853	22565	16.34	63	113	176	690	2267	1	2	3	29	1721	39	18	51.93%	6952	6	3	0.73	1	6	2	38	39	38

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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ales Stezka	Syracruse Crunch (TBL)	82	39	35	4	0.907	3.49	4659	10	1	271	2907	3	2	0.833	6	82	0	6	5	4
2	Felix Sandstrom	Syracruse Crunch (TBL)	8	2	1	1	0.949	1.89	286	2	0	9	177	0	0	0	0	0	82	0	0	0
Team Total or Average			90	41	36	5	0.909	3.40	4946	12	1	280	3084	3	2		6	82	82	6	5	4

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary 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
Ales Stezka	Syracruse Crunch (TBL)	G	29	1997-01-06	CZE	No	190 Lbs	193 CM	No	No	Fantasy Draft	No	No	3	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Benjamin Kraws	Syracruse Crunch (TBL)	G	26	2000-08-02	USA	No	194 Lbs	196 CM	No	No	Fantasy Draft	No	No	3	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Brandon Scanlin	Syracruse Crunch (TBL)	D	27	1999-06-02	CAN	No	218 Lbs	193 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
C.J. Smith	Syracruse Crunch (TBL)	LW	31	1994-12-01	USA	Yes	184 Lbs	180 CM	No	No	Fantasy Draft	Yes	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Cam McDonald	Syracruse Crunch (TBL)	D	25	2001-02-03	USA	No	174 Lbs	175 CM	No	No	Fantasy Draft	No	No	3	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Dawson Barteaux	Syracruse Crunch (TBL)	D	26	2000-01-12	CAN	No	185 Lbs	185 CM	No	No	Fantasy Draft	No	No	3	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Dysin Mayo	Syracruse Crunch (TBL)	D	30	1996-08-17	CAN	No	183 Lbs	188 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Emil Andrae	Syracruse Crunch (TBL)	D	24	2002-02-23	SWE	No	189 Lbs	175 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Felix Sandstrom	Syracruse Crunch (TBL)	G	29	1997-01-12	SWE	No	211 Lbs	188 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Felix Unger Sorum	Syracruse Crunch (TBL)	RW	20	2005-09-14	SWE	Yes	184 Lbs	183 CM	No	No	Fantasy Draft	No	No	1	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Grant Gabriele	Syracruse Crunch (TBL)	D	29	1997-04-17	USA	No	196 Lbs	188 CM	No	No	Fantasy Draft	No	No	3	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Henri Nikkanen	Syracruse Crunch (TBL)	C	25	2001-04-28	FIN	No	200 Lbs	193 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Justin Ertel	Syracruse Crunch (TBL)	LW	23	2003-05-27	CAN	Yes	192 Lbs	188 CM	No	No	Fantasy Draft	No	No	1	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Montana Onyebuchi	Syracruse Crunch (TBL)	D	26	2000-03-08	CAN	No	201 Lbs	191 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Oscar Eklind	Syracruse Crunch (TBL)	LW	28	1998-07-14	SWE	No	220 Lbs	193 CM	No	No	Fantasy Draft	No	No	3	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Pavol Regenda	Syracruse Crunch (TBL)	LW	26	1999-12-07	SVK	No	211 Lbs	193 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Reilly Walsh	Syracruse Crunch (TBL)	D	27	1999-04-21	USA	No	185 Lbs	183 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Rhett Gardner	Syracruse Crunch (TBL)	C/RW	30	1996-02-28	CAN	No	210 Lbs	191 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Riley Stillman	Syracruse Crunch (TBL)	D	28	1998-03-09	CAN	No	207 Lbs	188 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Simon Robertsson	Syracruse Crunch (TBL)	LW/RW	23	2003-02-05	SWE	Yes	190 Lbs	183 CM	No	No	Fantasy Draft	No	No	1	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tim Gettinger	Syracruse Crunch (TBL)	LW	28	1998-04-14	USA	No	220 Lbs	198 CM	No	No	Fantasy Draft	No	No	3		False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Victor Mancini	Syracruse Crunch (TBL)	D	24	2002-05-26	USA	Yes	229 Lbs	191 CM	No	No	Fantasy Draft	No	No	3	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Yaniv Perets	Syracruse Crunch (TBL)	G	26	2000-03-04	CAN	Yes	181 Lbs	185 CM	No	No	Fantasy Draft	No	No	3	2025-07-09	False	False	Pro & Farm	1,000,000$	0$	0$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	26.52	198 Lbs	188 CM	2.74	1,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tim Gettinger	Rhett Gardner	Felix Unger Sorum	40	1	2	2
2	C.J. Smith	Henri Nikkanen	Simon Robertsson	30	1	2	2
3	Pavol Regenda	Oscar Eklind	Justin Ertel	20	1	2	2
4	Oscar Eklind	Tim Gettinger	C.J. Smith	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mancini	Emil Andrae	40	1	2	2
2	Riley Stillman	Reilly Walsh	30	1	2	2
3	Dysin Mayo	Brandon Scanlin	20	1	2	2
4	Dawson Barteaux	Montana Onyebuchi	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Tim Gettinger	Rhett Gardner	Felix Unger Sorum	60	1	2	2
2	C.J. Smith	Henri Nikkanen	Simon Robertsson	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mancini	Emil Andrae	60	1	2	2
2	Riley Stillman	Reilly Walsh	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tim Gettinger	C.J. Smith	60	1	2	2
2	Pavol Regenda	Rhett Gardner	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mancini	Emil Andrae	60	1	2	2
2	Riley Stillman	Reilly Walsh	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Tim Gettinger	60	1	2	2	Victor Mancini	Emil Andrae	60	1	2	2
2	C.J. Smith	40	1	2	2	Riley Stillman	Reilly Walsh	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tim Gettinger	C.J. Smith	60	1	2	2
2	Pavol Regenda	Rhett Gardner	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Victor Mancini	Emil Andrae	60	1	2	2
2	Riley Stillman	Reilly Walsh	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tim Gettinger	Rhett Gardner	Felix Unger Sorum	Victor Mancini	Emil Andrae

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Tim Gettinger	Rhett Gardner	Felix Unger Sorum	Victor Mancini	Emil Andrae

Extra Forwards
Normal	PowerPlay	Penalty Kill
Justin Ertel, Henri Nikkanen, Oscar Eklind	Justin Ertel, Henri Nikkanen	Oscar Eklind

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Grant Gabriele, Cam McDonald, Dysin Mayo	Grant Gabriele	Cam McDonald, Dysin Mayo

Penalty Shots
Tim Gettinger, C.J. Smith, Pavol Regenda, Rhett Gardner, Henri Nikkanen

Goalie
#1 : Ales Stezka, #2 : Felix Sandstrom

Custom OT Lines Forwards
Tim Gettinger, C.J. Smith, Pavol Regenda, Rhett Gardner, Henri Nikkanen, Oscar Eklind, Felix Unger Sorum, Simon Robertsson, Justin Ertel,

Custom OT Lines Defensemen
Victor Mancini, Emil Andrae, Riley Stillman, Reilly Walsh, Dysin Mayo

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	Abbotsford Canucks	2	0	2	0	0	0	0	0	8	11	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	8	15	23	0	0	105	95	85	10	92	996	936	993	32	84	32	8	63	10	3	30.00%	4	1	75.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
2	Admirals	2	0	1	0	1	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	5	-4	1	0	0	0	1	0	0	0	3	2	1	2	0.500	4	8	12	0	0	105	95	85	10	67	996	936	993	32	64	17	18	69	8	2	25.00%	9	2	77.78%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
3	Barracuda	2	0	2	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	3	5	8	0	0	105	95	85	10	106	996	936	993	32	73	19	18	57	8	0	0.00%	8	1	87.50%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
4	Bears	3	1	2	0	0	0	0	0	10	12	-2	1	0	1	0	0	0	0	0	2	5	-3	2	1	1	0	0	0	0	0	8	7	1	2	0.333	10	17	27	0	0	105	95	85	10	92	996	936	993	32	133	41	42	72	7	1	14.29%	20	6	70.00%	1	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
5	Belleville Senators	3	2	1	0	0	0	0	0	12	10	2	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	6	3	3	4	0.667	12	22	34	1	0	105	95	85	10	94	996	936	993	32	123	32	20	80	8	2	25.00%	9	3	66.67%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
6	Bridgeport Islanders	3	0	1	0	1	0	0	1	8	9	-1	1	0	0	0	0	0	0	1	4	5	-1	2	0	1	0	1	0	0	0	4	4	0	3	0.500	8	14	22	0	0	105	95	85	10	90	996	936	993	32	117	41	20	74	12	2	16.67%	10	1	90.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
7	Bruins	4	2	2	0	0	0	0	0	11	14	-3	2	0	2	0	0	0	0	0	4	10	-6	2	2	0	0	0	0	0	0	7	4	3	4	0.500	11	22	33	0	0	105	95	85	10	111	996	936	993	32	169	53	41	86	15	4	26.67%	14	3	78.57%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
8	Calgary Wranglers	2	1	1	0	0	0	0	0	11	13	-2	1	0	1	0	0	0	0	0	3	7	-4	1	1	0	0	0	0	0	0	8	6	2	2	0.500	11	22	33	0	0	105	95	85	10	76	996	936	993	32	83	24	18	46	6	1	16.67%	8	3	62.50%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
9	Charlotte Checkers	4	2	2	0	0	0	0	0	16	13	3	2	1	1	0	0	0	0	0	8	5	3	2	1	1	0	0	0	0	0	8	8	0	4	0.500	16	29	45	1	0	105	95	85	10	142	996	936	993	32	141	50	38	101	15	3	20.00%	17	4	76.47%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
10	Chicago Wolves	3	1	1	0	0	0	1	0	12	10	2	2	1	1	0	0	0	0	0	7	6	1	1	0	0	0	0	0	1	0	5	4	1	4	0.667	12	21	33	0	0	105	95	85	10	105	996	936	993	32	97	44	22	68	15	3	20.00%	11	3	72.73%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
11	Coachella Valley Firebirds	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	6	10	16	0	0	105	95	85	10	67	996	936	993	32	84	20	21	48	7	3	42.86%	6	2	66.67%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
12	Colorado Eagles	2	0	1	0	0	1	0	0	5	7	-2	1	0	0	0	0	1	0	0	4	5	-1	1	0	1	0	0	0	0	0	1	2	-1	1	0.250	5	9	14	0	0	105	95	85	10	60	996	936	993	32	82	17	18	52	6	0	0.00%	7	2	71.43%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
13	Condors	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	13	21	0	0	105	95	85	10	51	996	936	993	32	90	18	18	40	7	1	14.29%	9	1	88.89%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
14	Griffins	4	3	0	0	1	0	0	0	17	10	7	2	2	0	0	0	0	0	0	10	5	5	2	1	0	0	1	0	0	0	7	5	2	8	1.000	17	30	47	0	0	105	95	85	10	157	996	936	993	32	169	54	26	118	18	2	11.11%	13	2	84.62%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
15	Henderson Silver Knights	2	0	1	0	1	0	0	0	3	3	0	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	0	1	-1	2	0.500	3	5	8	0	0	105	95	85	10	56	996	936	993	32	94	34	35	49	4	0	0.00%	11	1	90.91%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
16	IceHogs	2	1	0	0	1	0	0	0	6	3	3	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	12	18	0	0	105	95	85	10	83	996	936	993	32	69	18	8	56	9	0	0.00%	4	1	75.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
17	Laval Rocket	4	0	4	0	0	0	0	0	10	18	-8	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	6	10	-4	0	0.000	10	19	29	0	0	105	95	85	10	120	996	936	993	32	168	30	30	104	9	1	11.11%	12	3	75.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
18	Monsters	3	3	0	0	0	0	0	0	13	4	9	1	1	0	0	0	0	0	0	3	0	3	2	2	0	0	0	0	0	0	10	4	6	6	1.000	13	23	36	0	1	105	95	85	10	148	996	936	993	32	87	32	22	63	10	3	30.00%	10	1	90.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
19	Moose	2	1	0	0	1	0	0	0	8	6	2	1	0	0	0	1	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	14	22	0	0	105	95	85	10	70	996	936	993	32	66	24	12	43	10	2	20.00%	5	2	60.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
20	Ontario Reign	2	1	1	0	0	0	0	0	8	10	-2	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	6	5	1	2	0.500	8	15	23	0	0	105	95	85	10	86	996	936	993	32	87	19	18	51	4	2	50.00%	9	3	66.67%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
21	Penguins	3	1	1	0	1	0	0	0	10	10	0	2	1	0	0	1	0	0	0	8	6	2	1	0	1	0	0	0	0	0	2	4	-2	4	0.667	10	18	28	0	0	105	95	85	10	81	996	936	993	32	110	29	32	62	6	1	16.67%	15	3	80.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
22	Phantoms	3	1	2	0	0	0	0	0	12	14	-2	1	0	1	0	0	0	0	0	4	5	-1	2	1	1	0	0	0	0	0	8	9	-1	2	0.333	12	22	34	0	0	105	95	85	10	106	996	936	993	32	121	30	22	89	7	3	42.86%	10	4	60.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
23	Rochester Americans	4	3	1	0	0	0	0	0	18	13	5	2	2	0	0	0	0	0	0	10	6	4	2	1	1	0	0	0	0	0	8	7	1	6	0.750	18	35	53	0	0	105	95	85	10	163	996	936	993	32	140	42	24	97	16	8	50.00%	10	1	90.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
24	San Diego Gulls	2	0	1	0	0	1	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	5	7	12	0	0	105	95	85	10	68	996	936	993	32	69	21	18	53	14	0	0.00%	7	3	57.14%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
25	Texas Stars	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	5	9	14	0	0	105	95	85	10	73	996	936	993	32	76	28	26	52	4	0	0.00%	11	6	45.45%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
26	Thunderbirds	2	1	0	0	1	0	0	0	11	8	3	1	0	0	0	1	0	0	0	6	5	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	11	20	31	0	0	105	95	85	10	76	996	936	993	32	73	25	18	46	11	6	54.55%	9	3	66.67%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
27	Toronto Marlies	3	2	1	0	0	0	0	0	16	10	6	1	0	1	0	0	0	0	0	4	5	-1	2	2	0	0	0	0	0	0	12	5	7	4	0.667	16	30	46	0	0	105	95	85	10	108	996	936	993	32	103	21	24	64	6	0	0.00%	11	0	100.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
28	Tucson Roadrunners	2	0	1	0	0	1	0	0	5	8	-3	1	0	0	0	0	1	0	0	2	3	-1	1	0	1	0	0	0	0	0	3	5	-2	1	0.250	5	9	14	0	0	105	95	85	10	57	996	936	993	32	71	23	22	62	7	0	0.00%	11	3	72.73%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
29	Utica Comets	3	2	0	0	0	1	0	0	16	9	7	2	1	0	0	0	1	0	0	9	8	1	1	1	0	0	0	0	0	0	7	1	6	5	0.833	16	32	48	0	0	105	95	85	10	131	996	936	993	32	89	28	22	72	11	5	45.45%	11	4	63.64%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
30	Wild	2	0	1	0	1	0	0	0	7	7	0	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	13	20	0	0	105	95	85	10	80	996	936	993	32	54	14	8	38	11	1	9.09%	4	1	75.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
31	Wolf Pack	3	1	2	0	0	0	0	0	11	10	1	2	1	1	0	0	0	0	0	9	6	3	1	0	1	0	0	0	0	0	2	4	-2	2	0.333	11	20	31	0	0	105	95	85	10	135	996	936	993	32	100	22	8	88	11	4	36.36%	4	1	75.00%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
	Total	82	31	36	0	9	4	1	1	295	283	12	41	12	19	0	6	3	0	1	140	148	-8	41	19	17	0	3	1	1	0	155	135	20	87	0.530	295	540	835	2	1	105	95	85	10	2951	996	936	993	32	3086	902	677	2063	292	63	21.58%	299	74	75.25%	1	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
	_Since Last GM Reset	82	31	36	0	9	4	1	1	295	283	12	41	12	19	0	6	3	0	1	140	148	-8	41	19	17	0	3	1	1	0	155	135	20	87	0.530	295	540	835	2	1	105	95	85	10	2951	996	936	993	32	3086	902	677	2063	292	63	21.58%	299	74	75.25%	1	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
	_Vs Conference	50	24	20	0	3	1	1	1	192	166	26	25	11	11	0	1	1	0	1	92	87	5	25	13	9	0	2	0	1	0	100	79	21	58	0.580	192	354	546	2	1	105	95	85	10	1783	996	936	993	32	1867	549	393	1238	166	42	25.30%	177	39	77.97%	1	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530
	_Vs Division	26	14	11	0	1	0	0	0	100	88	12	13	6	7	0	0	0	0	0	46	46	0	13	8	4	0	1	0	0	0	54	42	12	30	0.577	100	187	287	2	0	105	95	85	10	895	996	936	993	32	1013	282	203	650	87	20	22.99%	86	16	81.40%	0	1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%	1931	1333	1968	608	1058	530

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	87	L1	295	540	835	2951	3086	902	677	2063	2	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	31	36	9	4	1	1	295	283

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	12	19	6	3	0	1	140	148

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	19	17	3	1	1	0	155	135

Last 10 Games
W	L	OTW	OTL	SOW	SOL
4	6	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
292	63	21.58%	299	74	75.25%	1

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
996	936	993	32	105	95	85	10

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1593	3058	52.09%	1534	3204	47.88%	639	1323	48.30%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1931	1333	1968	608	1058	530

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
3 - 2025-09-28	11	Belleville Senators	3	Syracruse Crunch	4	W			Box score
5 - 2025-09-30	26	Utica Comets	3	Syracruse Crunch	5	W			Box score
7 - 2025-10-02	40	Syracruse Crunch	3	Bruins	1	W			Box score
8 - 2025-10-03	52	Syracruse Crunch	2	Bears	4	L			Box score
11 - 2025-10-06	72	Syracruse Crunch	4	Griffins	3	W			Box score
12 - 2025-10-07	82	Syracruse Crunch	4	Monsters	3	W			Box score
17 - 2025-10-12	113	IceHogs	2	Syracruse Crunch	3	W	X		Box score
19 - 2025-10-14	129	San Diego Gulls	3	Syracruse Crunch	2	L			Box score
20 - 2025-10-15	141	Henderson Silver Knights	2	Syracruse Crunch	3	W	X		Box score
22 - 2025-10-17	156	Syracruse Crunch	3	Admirals	2	W	X		Box score
24 - 2025-10-19	169	Texas Stars	2	Syracruse Crunch	1	L			Box score
27 - 2025-10-22	194	Syracruse Crunch	3	Tucson Roadrunners	5	L			Box score
29 - 2025-10-24	209	Syracruse Crunch	1	Colorado Eagles	2	L			Box score
31 - 2025-10-26	225	Syracruse Crunch	0	Henderson Silver Knights	1	L			Box score
33 - 2025-10-28	236	Bears	5	Syracruse Crunch	2	L			Box score
37 - 2025-11-01	265	Wolf Pack	2	Syracruse Crunch	7	W			Box score
40 - 2025-11-04	283	Syracruse Crunch	3	Charlotte Checkers	5	L			Box score
41 - 2025-11-05	297	Abbotsford Canucks	5	Syracruse Crunch	3	L			Box score
43 - 2025-11-07	309	Utica Comets	5	Syracruse Crunch	4	L	X		Box score
45 - 2025-11-09	322	Condors	2	Syracruse Crunch	3	W			Box score
47 - 2025-11-11	341	Syracruse Crunch	6	Bears	3	W			Box score
49 - 2025-11-13	353	Phantoms	5	Syracruse Crunch	4	L			Box score
51 - 2025-11-15	362	Calgary Wranglers	7	Syracruse Crunch	3	L			Box score
53 - 2025-11-17	377	Syracruse Crunch	3	Griffins	2	W	X		Box score
54 - 2025-11-18	391	Syracruse Crunch	2	Wolf Pack	4	L			Box score
57 - 2025-11-21	414	Syracruse Crunch	2	Bridgeport Islanders	3	L			Box score
59 - 2025-11-23	428	Penguins	5	Syracruse Crunch	6	W	X		Box score
61 - 2025-11-25	446	Bridgeport Islanders	5	Syracruse Crunch	4	L	X	X	Box score
63 - 2025-11-27	461	Syracruse Crunch	6	Toronto Marlies	1	W			Box score
64 - 2025-11-28	466	Syracruse Crunch	3	Laval Rocket	4	L			Box score
66 - 2025-11-30	481	Syracruse Crunch	7	Utica Comets	1	W			Box score
68 - 2025-12-02	498	Syracruse Crunch	2	Bridgeport Islanders	1	W	X		Box score
70 - 2025-12-04	514	Charlotte Checkers	4	Syracruse Crunch	3	L			Box score
73 - 2025-12-07	538	Ontario Reign	5	Syracruse Crunch	2	L			Box score
75 - 2025-12-09	557	Chicago Wolves	2	Syracruse Crunch	4	W			Box score
77 - 2025-12-11	571	Thunderbirds	5	Syracruse Crunch	6	W	X		Box score
82 - 2025-12-16	591	Syracruse Crunch	5	Charlotte Checkers	3	W			Box score
83 - 2025-12-17	602	Laval Rocket	4	Syracruse Crunch	1	L			Box score
86 - 2025-12-20	624	Syracruse Crunch	3	San Diego Gulls	4	L	X		Box score
87 - 2025-12-21	639	Syracruse Crunch	6	Ontario Reign	5	W			Box score
89 - 2025-12-23	649	Syracruse Crunch	1	Barracuda	2	L			Box score
92 - 2025-12-26	668	Colorado Eagles	5	Syracruse Crunch	4	L	X		Box score
96 - 2025-12-30	705	Syracruse Crunch	3	Phantoms	5	L			Box score
98 - 2026-01-01	719	Syracruse Crunch	5	Phantoms	4	W			Box score
99 - 2026-01-02	726	Syracruse Crunch	2	Penguins	4	L			Box score
102 - 2026-01-05	751	Syracruse Crunch	5	Thunderbirds	3	W			Box score
104 - 2026-01-07	767	Syracruse Crunch	4	Texas Stars	6	L			Box score
106 - 2026-01-09	781	Barracuda	3	Syracruse Crunch	2	L			Box score
109 - 2026-01-12	803	Syracruse Crunch	3	IceHogs	1	W			Box score
110 - 2026-01-13	814	Syracruse Crunch	6	Monsters	1	W			Box score
112 - 2026-01-15	825	Tucson Roadrunners	3	Syracruse Crunch	2	L	X		Box score
115 - 2026-01-18	847	Moose	3	Syracruse Crunch	4	W	X		Box score
118 - 2026-01-21	873	Bruins	5	Syracruse Crunch	2	L			Box score
120 - 2026-01-23	886	Rochester Americans	4	Syracruse Crunch	6	W			Box score
122 - 2026-01-25	904	Charlotte Checkers	1	Syracruse Crunch	5	W			Box score
142 - 2026-02-14	912	Toronto Marlies	5	Syracruse Crunch	4	L			Box score
143 - 2026-02-15	923	Syracruse Crunch	5	Chicago Wolves	4	W	X	X	Box score
145 - 2026-02-17	941	Rochester Americans	2	Syracruse Crunch	4	W			Box score
148 - 2026-02-20	967	Syracruse Crunch	2	Wild	3	L			Box score
150 - 2026-02-22	980	Syracruse Crunch	4	Moose	3	W			Box score
152 - 2026-02-24	994	Syracruse Crunch	6	Toronto Marlies	4	W			Box score
153 - 2026-02-25	1003	Syracruse Crunch	5	Rochester Americans	3	W			Box score
155 - 2026-02-27	1015	Monsters	0	Syracruse Crunch	3	W			Box score
157 - 2026-03-01	1030	Griffins	2	Syracruse Crunch	5	W			Box score
159 - 2026-03-03	1049	Chicago Wolves	4	Syracruse Crunch	3	L			Box score
162 - 2026-03-06	1076	Syracruse Crunch	2	Coachella Valley Firebirds	4	L			Box score
164 - 2026-03-08	1090	Syracruse Crunch	5	Abbotsford Canucks	6	L			Box score
Trade Deadline --- Trades can’t be done after this day is simulated!
166 - 2026-03-10	1109	Syracruse Crunch	5	Condors	3	W			Box score
167 - 2026-03-11	1116	Syracruse Crunch	8	Calgary Wranglers	6	W			Box score
169 - 2026-03-13	1127	Wild	4	Syracruse Crunch	5	W	X		Box score
171 - 2026-03-15	1139	Coachella Valley Firebirds	5	Syracruse Crunch	4	L			Box score
173 - 2026-03-17	1152	Belleville Senators	4	Syracruse Crunch	2	L			Box score
174 - 2026-03-18	1168	Admirals	5	Syracruse Crunch	1	L			Box score
176 - 2026-03-20	1180	Laval Rocket	4	Syracruse Crunch	3	L			Box score
178 - 2026-03-22	1192	Penguins	1	Syracruse Crunch	2	W			Box score
180 - 2026-03-24	1210	Bruins	5	Syracruse Crunch	2	L			Box score
182 - 2026-03-26	1229	Syracruse Crunch	3	Rochester Americans	4	L			Box score
183 - 2026-03-27	1234	Syracruse Crunch	6	Belleville Senators	3	W			Box score
185 - 2026-03-29	1248	Syracruse Crunch	3	Laval Rocket	6	L			Box score
187 - 2026-03-31	1261	Syracruse Crunch	4	Bruins	3	W			Box score
189 - 2026-04-02	1282	Griffins	3	Syracruse Crunch	5	W			Box score
191 - 2026-04-04	1302	Wolf Pack	4	Syracruse Crunch	2	L			Box score

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	76,809	38,008
Attendance PCT	93.67%	92.70%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2800 - 93.35%	116,032$	4,757,314$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
4,561,974$	2,300,000$	2,300,000$	2,500,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	2,595,808$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	25,000$	0$

Syracruse 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

Syracruse 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

Syracruse 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

Syracruse 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

Syracruse 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

	Syracruse Crunch
	GP: 82 \| W: 41 \| L: 36 \| OTL: 5 \| P: 87 GF: 295 \| GA: 283 \| PP%: 21.58% \| PK%: 75.25% GM : Pier-Olivier Jacques \| Morale : 44 \| Team Overall : 61