New Jersey Devils
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat
Web Lines Editor

Game Center
	Texas Stars 41-25-6, 88pts	6	FINAL	1	Utica Comets 39-28-5, 83pts

Team Stats
OTL1	Streak	L3
20-13-3	Home Record	19-13-4
21-12-3	Away Record	20-15-1
8-1-1	Last 10 Games	6-4-0
3.15	Goals Per Game	3.18
2.69	Goals Against Per Game	2.72
18.35%	Power Play Percentage	16.73%
83.27%	Penalty Kill Percentage	84.08%

Utica Comets
39-28-5, 83pts

FINAL

Providence Bruins
32-30-10, 74pts

Team Stats
L3	Streak	W1
19-13-4	Home Record	16-19-1
20-15-1	Away Record	16-11-9
6-4-0	Last 10 Games	5-4-1
3.18	Goals Per Game	3.13
2.72	Goals Against Per Game	3.24
16.73%	Power Play Percentage	17.02%
84.08%	Penalty Kill Percentage	80.78%

Team Leaders
	Goals Jesper Froden 30	Assists Nate Schnarr 46

	Points Nate Schnarr 62	Plus/Minus Michael Vukojevic 20

	Wins Nico Daws 39	Save Percentage Nico Daws 0.911

Team Stats
Goals For 229 3.18 GFG	Shots For 2196 30.50 Avg	Power Play Percentage 16.7% 45 GF	Offensive Zone Start 40.3%
Goals Against 196 2.72 GAA	Shots Against 2180 30.28 Avg	Penalty Kill Percentage 84.1% 46 GA	Defensive Zone Start 40.4%

Team Info
	General Manager	Anton Larsen
	Coach	Scott Arniel
	Division	North
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,848
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	22
	Contract Limit	46 / 60
	Prospects	36
Team History
	This Season	39-28-5 (83PTS)
	History	71-53-13 (0.518%)
	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	Joe Veleno	0	X				100.00	84	45	89	82	75	65	64	62	72	60	62	69	25	52	52	0	75	63	0	23	1	894,167$
2	Alexander Holtz (R)	0			X		100.00	67	42	92	78	70	62	62	70	25	67	55	69	25	44	44	0	75	61	0	21	2	925,000$
3	Tyce Thompson (R)	0			X		100.00	68	66	72	66	66	54	51	66	50	64	65	62	62	44	44	0	73	59	0	23	2	762,500$
4	Garrett Wilson	0		X	X		100.00	73	80	56	63	80	64	66	59	50	51	60	66	57	57	58	0	75	59	0	32	1	775,000$
5	Nate Schnarr	0	X				100.00	75	71	83	61	71	64	65	61	76	56	62	64	59	44	44	0	74	59	0	24	1	750,000$
6	Joe Gambardella	0	X	X			100.00	76	71	86	63	71	62	64	58	73	57	54	64	51	44	44	0	73	58	0	29	1	775,000$
7	Jesper Froden	0			X		100.00	69	63	84	68	63	58	57	63	50	59	63	61	60	44	44	0	73	58	0	28	1	750,000$
8	Aarne Talvitie	0	X	X			100.00	76	70	89	68	70	60	62	55	69	48	57	63	54	44	44	0	73	57	0	24	1	842,500$
9	Nikita Alexandrov (R)	0	X				100.00	73	66	88	63	66	58	58	58	73	54	57	62	54	44	44	0	73	56	0	22	1	830,833$
10	Graeme Clarke (R)	0			X		100.00	70	64	83	64	64	60	61	58	73	54	57	61	54	44	44	0	73	56	0	21	2	850,833$
11	Justin Ducharme (R)	0		X	X		100.00	72	65	87	65	65	41	38	56	50	45	62	61	59	44	44	0	73	54	0	23	2	750,000$
12	Sam Houde (R)	0	X				100.00	72	64	89	70	64	40	38	52	65	53	46	60	44	44	44	0	73	53	0	23	1	750,000$
13	Reilly Walsh	0				X	100.00	75	68	92	67	68	73	78	56	25	52	46	63	44	44	44	0	74	59	0	23	1	925,000$
14	Paul Ladue	6				X	100.00	77	73	87	72	73	61	65	47	25	36	41	63	39	50	50	0	73	57	0	30	1	750,000$
15	Michael Vukojevic (R)	0				X	100.00	80	79	81	66	79	57	60	50	25	43	41	64	39	44	44	0	71	57	0	21	2	850,833$
16	Tommy Cross	0				X	100.00	74	77	68	63	77	59	61	53	25	46	45	61	43	44	44	0	41	56	0	33	1	750,000$
17	Nikita Okhotyuk (R)	0				X	100.00	71	71	70	76	71	68	74	47	25	37	41	58	39	44	44	0	70	56	0	22	1	795,000$
18	Cody Goloubef	0				X	100.00	73	71	79	68	71	45	46	45	25	28	42	64	40	64	64	0	43	55	0	33	1	775,000$
Scratches
1	Brandon Cutler (R)	0	X	X			100.00	78	75	86	70	75	45	45	49	61	47	46	62	44	44	44	0	20	53	0	23	1	750,000$
2	Carson Gicewicz	0	X	X	X		100.00	77	79	72	60	79	55	57	49	61	47	46	62	44	44	44	0	48	53	0	26	1	750,000$
3	Jeremy Groleau (R)	0				X	100.00	78	73	88	61	73	49	50	46	25	37	40	62	38	44	44	0	20	53	0	23	1	750,000$

	TEAM AVERAGE						100.00	74	68	82	67	71	57	58	55	49	50	52	63	46	46	46	0	64	57

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	Nico Daws (R)	100.00	63	47	47	83	69	56	69	63	65	62	78	46	46	0	53	61	0	22	2	850,833$
2	Akira Schmid (R)	100.00	55	41	51	86	60	57	55	60	60	59	30	44	44	0	73	57	0	22	2	850,833$
Scratches
1	Michael McNiven	100.00	44	45	56	76	42	46	50	51	48	48	30	44	44	0	19	50	0	25	1	750,000$

	TEAM AVERAGE	100.00	54	44	51	82	57	53	58	58	58	56	46	45	45	0	48	56

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Scott Arniel	68	71	74	66	89	83	57	CAN	60	2	1,200,000$

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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Nate Schnarr	Utica Comets (NJD)	C	72	16	46	62	2	43	15	97	162	199	55	156	8.04%	12	1207	16.77	3	14	17	40	205	0	0	0	0	1	2	1	16.77	1149	0	1.03	0	0	1	1	1	3	4	3
2	Joe Gambardella	Utica Comets (NJD)	C/LW	72	21	33	54	16	36	0	74	159	185	39	131	11.35%	17	1447	20.11	5	9	14	36	215	0	0	0	7	251	4	1	20.11	1412	0	0.75	1	1	0	0	0	4	6	2
3	Jesper Froden	Utica Comets (NJD)	RW	72	30	24	54	15	16	0	37	97	211	72	142	14.22%	11	1140	15.84	6	7	13	55	210	0	0	0	0	4	6	1	15.84	71	0	0.95	0	2	0	0	0	5	3	5
4	Joe Veleno	Utica Comets (NJD)	C	69	16	37	53	15	43	5	117	217	199	52	149	8.04%	21	1287	18.66	4	12	16	48	224	0	1	1	5	243	2	2	18.66	1832	0	0.82	0	2	0	0	0	4	2	2
5	Alexander Holtz	Utica Comets (NJD)	RW	69	21	28	49	11	8	0	19	135	206	51	145	10.19%	14	1187	17.21	3	8	11	60	226	0	0	0	3	121	2	3	17.21	103	0	0.83	0	2	0	0	0	2	3	4
6	Tyce Thompson	Utica Comets (NJD)	RW	72	19	25	44	0	18	0	72	108	208	49	147	9.13%	11	1011	14.05	0	2	2	3	17	0	0	0	0	2	4	1	14.05	74	0	0.87	0	0	0	0	0	1	5	4
7	Garrett Wilson	Utica Comets (NJD)	LW/RW	72	18	25	43	18	111	35	181	81	191	68	118	9.42%	15	1224	17.01	3	5	8	39	227	1	0	1	2	70	4	0	17.01	88	0	0.70	0	0	3	2	2	3	3	1
8	Michael Vukojevic	Utica Comets (NJD)	D	72	8	33	41	20	106	30	160	54	61	20	39	13.11%	61	1446	20.09	5	5	10	26	214	0	0	0	0	165	2	0	0.00%	0	0	0.57	0	0	2	2	2	4	1	2
9	Graeme Clarke	Utica Comets (NJD)	RW	72	13	17	30	2	6	0	47	60	110	26	60	11.82%	4	637	8.86	1	0	1	2	5	0	0	0	1	11	2	2	8.86	25	0	0.94	0	0	0	0	0	1	0	1
10	Reilly Walsh	Utica Comets (NJD)	D	72	7	23	30	5	39	5	117	60	81	35	44	8.64%	90	1665	23.13	4	4	8	44	210	1	0	1	2	235	1	0	0.00%	0	0	0.36	0	0	0	0	1	2	0	2
11	Nikita Alexandrov	Utica Comets (NJD)	C	72	10	18	28	16	32	0	87	140	119	38	106	8.40%	16	1392	19.34	0	0	0	1	20	0	2	2	2	80	2	0	19.34	724	0	0.40	0	0	0	0	0	1	1	2
12	Aarne Talvitie	Utica Comets (NJD)	C/LW	72	15	13	28	3	28	0	66	94	118	38	109	12.71%	17	1127	15.66	0	0	0	0	1	0	0	0	3	133	2	1	15.66	192	0	0.50	0	0	0	0	0	0	0	1
13	Ty Smith	New Jersey Devils	D	20	9	11	20	2	2	0	39	40	36	13	27	25.00%	20	426	21.30	4	4	8	15	61	0	0	0	1	16	2	0	0.00%	0	1	0.94	0	0	0	0	0	2	1	2
14	Nikita Okhotyuk	Utica Comets (NJD)	D	68	2	18	20	8	64	0	144	43	25	13	29	8.00%	67	1209	17.79	0	1	1	1	14	0	0	0	2	185	0	0	0.00%	0	0	0.33	0	0	0	0	0	0	0	2
15	Paul Ladue	Utica Comets (NJD)	D	72	5	14	19	19	46	0	114	49	74	23	39	6.76%	92	1505	20.91	1	1	2	31	204	1	0	1	1	195	1	2	0.00%	0	0	0.25	0	0	0	0	0	0	1	3
16	Kevin Bahl	New Jersey Devils	D	26	6	13	19	6	14	0	51	36	53	15	33	11.32%	35	572	22.01	3	6	9	27	65	0	1	1	2	84	1	0	0.00%	0	0	0.66	0	0	0	0	0	1	3	2
17	Cody Goloubef	Utica Comets (NJD)	D	52	4	14	18	11	25	5	80	18	31	12	23	12.90%	43	890	17.13	2	0	2	9	109	0	0	0	0	31	0	0	0.00%	0	0	0.40	0	0	0	0	1	0	1	0
18	Sam Houde	Utica Comets (NJD)	C	72	4	7	11	0	16	0	31	59	45	19	29	8.89%	5	645	8.97	0	0	0	1	6	0	0	0	0	34	0	1	8.97	82	0	0.34	0	0	0	0	0	0	2	1
19	Tommy Cross	Utica Comets (NJD)	D	50	2	6	8	-3	43	5	108	16	21	6	17	9.52%	44	913	18.26	1	0	1	4	37	0	0	0	0	64	0	0	0.00%	0	0	0.18	0	0	0	0	1	1	0	0
20	Justin Ducharme	Utica Comets (NJD)	LW/RW	72	1	3	4	2	6	0	2	6	16	5	5	6.25%	1	138	1.92	0	0	0	5	16	0	1	1	0	31	1	0	0.00%	3	0	0.58	0	0	0	0	0	0	0	0
21	Brandon Cutler	Utica Comets (NJD)	C/LW	3	1	0	1	1	2	0	1	6	4	1	1	25.00%	0	28	9.33	0	0	0	0	0	0	0	0	0	0	0	0	9.33	28	0	0.71	0	0	0	0	0	0	0	0
22	Carson Gicewicz	Utica Comets (NJD)	C/LW/RW	3	0	1	1	1	6	0	3	2	3	0	0	0.00%	0	20	6.75	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0.99	0	0	0	0	0	0	0	0
Team Total or Average				1296	228	409	637	170	710	100	1647	1642	2196	650	1549	10.38%	596	21126	16.30	45	78	123	447	2295	3	5	8	31	1966	38	15	53.31%	5783	1	0.60	1	7	6	5	8	34	36	39

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	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Nico Daws	Utica Comets (NJD)	71	39	26	5	0.911	2.65	4169	4	2	184	2072	1	0.857	7	71	0	4	4	6
2	Akira Schmid	Utica Comets (NJD)	5	0	2	0	0.907	3.66	164	0	0	10	107	0	0.00%	0	1	71	0	0	0
Team Total or Average			76	39	28	5	0.911	2.69	4333	4	2	194	2179	1		7	72	71	4	4	6

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	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Link
Aarne Talvitie	Utica Comets (NJD)	C/LW	24	1999-02-11	No	198 Lbs	5 ft11	No	No	No	1	Pro & Farm	842,500$	0$	0$	No		Link / NHL Link
Akira Schmid	Utica Comets (NJD)	G	22	2000-05-12	Yes	205 Lbs	6 ft5	No	No	No	2	Pro & Farm	850,833$	0$	0$	No	850,833$	Link / NHL Link
Alexander Holtz	Utica Comets (NJD)	RW	21	2002-01-23	Yes	194 Lbs	6 ft0	No	No	No	2	Pro & Farm	925,000$	0$	0$	No	925,000$	Link / NHL Link
Brandon Cutler	Utica Comets (NJD)	C/LW	23	2000-01-04	Yes	201 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	0$	0$	No		Link / NHL Link
Carson Gicewicz	Utica Comets (NJD)	C/LW/RW	26	1997-03-04	No	212 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	0$	0$	No		Link / NHL Link
Cody Goloubef	Utica Comets (NJD)	D	33	1989-11-30	No	190 Lbs	6 ft1	No	No	No	1	Pro & Farm	775,000$	0$	0$	No		Link / NHL Link
Garrett Wilson	Utica Comets (NJD)	LW/RW	32	1991-03-16	No	218 Lbs	6 ft3	No	No	No	1	Pro & Farm	775,000$	0$	0$	No		Link / NHL Link
Graeme Clarke	Utica Comets (NJD)	RW	21	2001-04-24	Yes	174 Lbs	6 ft0	No	No	No	2	Pro & Farm	850,833$	0$	0$	No	850,833$	Link / NHL Link
Jeremy Groleau	Utica Comets (NJD)	D	23	1999-10-25	Yes	193 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	750,000$	0$	0$	No		Link / NHL Link
Jesper Froden	Utica Comets (NJD)	RW	28	1994-09-21	No	176 Lbs	5 ft10	No	No	No	1	Pro & Farm	750,000$	0$	0$	No		Link / NHL Link
Joe Gambardella	Utica Comets (NJD)	C/LW	29	1993-12-01	No	200 Lbs	5 ft10	No	No	No	1	Pro & Farm	775,000$	0$	0$	No		Link / NHL Link
Joe Veleno	Utica Comets (NJD)	C	23	2000-01-13	No	206 Lbs	6 ft1	No	No	No	1	Pro & Farm	894,167$	0$	0$	No		Link / NHL Link
Justin Ducharme	Utica Comets (NJD)	LW/RW	23	2000-02-22	Yes	179 Lbs	6 ft0	No	No	No	2	Pro & Farm	750,000$	0$	0$	No	750,000$	Link / NHL Link
Michael McNiven	Utica Comets (NJD)	G	25	1997-07-08	No	203 Lbs	6 ft1	No	No	No	1	Pro & Farm	750,000$	0$	0$	No		Link / NHL Link
Michael Vukojevic	Utica Comets (NJD)	D	21	2001-06-08	Yes	212 Lbs	6 ft3	No	No	No	2	Pro & Farm	850,833$	0$	0$	No	850,833$	Link / NHL Link
Nate Schnarr	Utica Comets (NJD)	C	24	1999-02-25	No	185 Lbs	6 ft3	No	No	Yes	1	Pro & Farm	750,000$	0$	0$	No		Link / NHL Link
Nico Daws	Utica Comets (NJD)	G	22	2000-12-22	Yes	203 Lbs	6 ft4	No	No	No	2	Pro & Farm	850,833$	0$	0$	No	850,833$	Link / NHL Link
Nikita Alexandrov	Utica Comets (NJD)	C	22	2000-09-16	Yes	176 Lbs	6 ft1	No	No	No	1	Pro & Farm	830,833$	0$	0$	No		Link / NHL Link
Nikita Okhotyuk	Utica Comets (NJD)	D	22	2000-12-04	Yes	194 Lbs	6 ft1	No	No	No	1	Pro & Farm	795,000$	0$	0$	No		Link / NHL Link
Paul Ladue	Utica Comets (NJD)	D	30	1992-09-06	No	197 Lbs	6 ft2	No	No	No	1	Pro & Farm	750,000$	0$	0$	No		Link / NHL Link
Reilly Walsh	Utica Comets (NJD)	D	23	1999-04-21	No	185 Lbs	6 ft0	No	No	No	1	Pro & Farm	925,000$	0$	0$	No		Link / NHL Link
Sam Houde	Utica Comets (NJD)	C	23	2000-03-06	Yes	172 Lbs	6 ft0	No	No	No	1	Pro & Farm	750,000$	0$	0$	No		Link / NHL Link
Tommy Cross	Utica Comets (NJD)	D	33	1989-09-12	No	205 Lbs	6 ft3	No	No	No	1	Pro & Farm	750,000$	0$	0$	No		Link / NHL Link
Tyce Thompson	Utica Comets (NJD)	RW	23	1999-07-11	Yes	178 Lbs	6 ft1	No	No	No	2	Pro & Farm	762,500$	0$	0$	No	762,500$	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	24.83	194 Lbs	6 ft1	1.29	800,139$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Justin Ducharme	Joe Veleno	Alexander Holtz	31	0	1	4
2	Garrett Wilson	Joe Gambardella	Jesper Froden	26	0	1	4
3	Aarne Talvitie	Nate Schnarr	Tyce Thompson	25	1	2	2
4	Sam Houde	Nikita Alexandrov	Graeme Clarke	18	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikita Okhotyuk	Reilly Walsh	38	1	1	3
2	Michael Vukojevic	Paul Ladue	34	1	2	2
3	Cody Goloubef	Tommy Cross	28	1	2	2
4	Paul Ladue	Reilly Walsh	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Joe Gambardella	Joe Veleno	Alexander Holtz	60	0	0	5
2	Garrett Wilson	Nate Schnarr	Jesper Froden	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikita Okhotyuk	Michael Vukojevic	60	0	1	4
2	Reilly Walsh	Paul Ladue	40	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Joe Veleno	Joe Gambardella	60	1	2	2
2	Aarne Talvitie	Graeme Clarke	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Reilly Walsh	Michael Vukojevic	60	1	2	2
2	Paul Ladue	Nikita Okhotyuk	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Joe Veleno	60	1	2	2	Nikita Okhotyuk	Reilly Walsh	60	1	2	2
2	Aarne Talvitie	40	1	2	2	Paul Ladue	Michael Vukojevic	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Joe Veleno	Alexander Holtz	60	1	2	2
2	Nate Schnarr	Joe Gambardella	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Reilly Walsh	Nikita Okhotyuk	60	1	2	2
2	Michael Vukojevic	Paul Ladue	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Tyce Thompson	Joe Veleno	Alexander Holtz	Reilly Walsh	Nikita Okhotyuk

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Graeme Clarke	Joe Veleno	Garrett Wilson	Reilly Walsh	Nikita Okhotyuk

Extra Forwards
Normal	PowerPlay	Penalty Kill
Nikita Alexandrov, Joe Gambardella, Graeme Clarke	Nikita Alexandrov, Joe Gambardella	Joe Gambardella

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Paul Ladue, Michael Vukojevic, Reilly Walsh	Reilly Walsh	Reilly Walsh, Michael Vukojevic

Penalty Shots
Graeme Clarke, Jesper Froden, Nikita Alexandrov, Joe Gambardella, Garrett Wilson

Goalie
#1 : Nico Daws, #2 : Akira Schmid

Custom OT Lines Forwards
Alexander Holtz, Joe Veleno, Joe Gambardella, Nate Schnarr, Garrett Wilson, Jesper Froden, Jesper Froden, Graeme Clarke, Aarne Talvitie, Tyce Thompson, Nikita Alexandrov

Custom OT Lines Defensemen
Tommy Cross, Reilly Walsh, Michael Vukojevic, Paul Ladue, Nikita Okhotyuk

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
1	Abbotsford Canucks	2	1	0	0	0	0	1	0	8	5	3	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	1	0	4	3	1	4	1.000	8	14	22	0	0	76	84	65	4	60	696	722	767	18	52	11	8	38	9	0	0.00%	4	0	100.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
2	Bakersfield Condors	2	1	0	0	0	1	0	0	10	4	6	1	1	0	0	0	0	0	0	8	1	7	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	10	17	27	0	0	76	84	65	4	63	696	722	767	18	34	12	6	40	8	1	12.50%	3	1	66.67%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
3	Belleville Senators	3	3	0	0	0	0	0	0	13	4	9	1	1	0	0	0	0	0	0	3	1	2	2	2	0	0	0	0	0	0	10	3	7	6	1.000	13	23	36	0	0	76	84	65	4	110	696	722	767	18	89	23	32	77	12	2	16.67%	16	1	93.75%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
4	Bridgeport Islanders	2	1	1	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	8	13	0	0	76	84	65	4	72	696	722	767	18	49	10	13	47	10	1	10.00%	4	1	75.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
5	Calgary Wranglers	2	1	0	0	1	0	0	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	1	0	0	0	3	2	1	4	1.000	6	12	18	0	0	76	84	65	4	57	696	722	767	18	65	21	18	51	8	1	12.50%	9	0	100.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
6	Charlotte Checkers	2	0	2	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	5	6	-1	0	0.000	6	11	17	0	0	76	84	65	4	50	696	722	767	18	76	31	20	53	8	0	0.00%	10	2	80.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
7	Chicago Wolves	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	7	11	0	0	76	84	65	4	54	696	722	767	18	67	20	18	49	6	1	16.67%	9	3	66.67%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
8	Cleveland Monsters	3	0	3	0	0	0	0	0	7	10	-3	1	0	1	0	0	0	0	0	2	3	-1	2	0	2	0	0	0	0	0	5	7	-2	0	0.000	7	12	19	0	0	76	84	65	4	92	696	722	767	18	118	33	32	69	13	2	15.38%	16	1	93.75%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
9	Coachella Valley Firebirds	2	0	1	0	0	0	0	1	5	8	-3	1	0	0	0	0	0	0	1	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0.250	5	8	13	0	0	76	84	65	4	56	696	722	767	18	74	23	24	41	5	0	0.00%	6	1	83.33%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
10	Colorado Eagles	3	0	3	0	0	0	0	0	4	10	-6	2	0	2	0	0	0	0	0	3	8	-5	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	4	6	10	0	0	76	84	65	4	65	696	722	767	18	83	22	41	74	8	0	0.00%	16	2	87.50%	1	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
11	Grand Rapids Griffins	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	4	7	11	0	0	76	84	65	4	62	696	722	767	18	58	14	29	42	6	0	0.00%	7	1	85.71%	1	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
12	Hartford Wolf Pack	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	6	4	2	4	1.000	9	16	25	0	0	76	84	65	4	65	696	722	767	18	57	15	19	51	8	2	25.00%	7	0	100.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
13	Henderson Silver Knights	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	1	4	4	1.000	8	16	24	0	0	76	84	65	4	69	696	722	767	18	55	22	18	28	7	2	28.57%	8	0	100.00%	1	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
14	Hershey Bears	2	1	1	0	0	0	0	0	8	11	-3	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	3	7	-4	2	0.500	8	13	21	0	0	76	84	65	4	64	696	722	767	18	71	15	24	49	10	3	30.00%	12	2	83.33%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
15	Iowa Wild	2	0	1	0	1	0	0	0	4	4	0	1	0	1	0	0	0	0	0	2	3	-1	1	0	0	0	1	0	0	0	2	1	1	2	0.500	4	7	11	0	0	76	84	65	4	47	696	722	767	18	55	13	17	61	10	1	10.00%	6	0	100.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
16	Laval Rocket	4	3	0	0	0	1	0	0	15	8	7	2	1	0	0	0	1	0	0	9	7	2	2	2	0	0	0	0	0	0	6	1	5	7	0.875	15	27	42	0	1	76	84	65	4	138	696	722	767	18	87	24	37	82	18	6	33.33%	16	3	81.25%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
17	Lehigh Valley Phantoms	2	2	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	6	10	16	0	0	76	84	65	4	77	696	722	767	18	57	12	21	49	10	0	0.00%	7	1	85.71%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
18	Manitoba Moose	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	5	9	14	0	0	76	84	65	4	55	696	722	767	18	67	18	25	43	9	1	11.11%	10	2	80.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
19	Milwaukee Admirals	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	5	9	14	0	0	76	84	65	4	33	696	722	767	18	76	30	20	43	7	2	28.57%	10	2	80.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
20	Ontario Reign	2	1	1	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	7	14	21	0	0	76	84	65	4	76	696	722	767	18	39	15	6	29	10	1	10.00%	3	1	66.67%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
21	Providence Bruins	2	1	1	0	0	0	0	0	6	9	-3	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	6	12	18	0	0	76	84	65	4	49	696	722	767	18	75	18	33	54	3	2	66.67%	14	5	64.29%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
22	Rochester Americans	3	0	3	0	0	0	0	0	9	12	-3	1	0	1	0	0	0	0	0	3	4	-1	2	0	2	0	0	0	0	0	6	8	-2	0	0.000	9	15	24	0	0	76	84	65	4	90	696	722	767	18	112	20	41	81	10	3	30.00%	18	4	77.78%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
23	Rockford IceHogs	3	2	0	0	0	1	0	0	12	9	3	1	0	0	0	0	1	0	0	3	4	-1	2	2	0	0	0	0	0	0	9	5	4	5	0.833	12	22	34	0	0	76	84	65	4	88	696	722	767	18	95	25	29	77	12	3	25.00%	12	1	91.67%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
24	San Diego Gulls	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	6	2	4	4	1.000	9	16	25	0	0	76	84	65	4	65	696	722	767	18	68	17	17	37	9	1	11.11%	5	0	100.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
25	San Jose Barracuda	2	1	0	0	0	1	0	0	5	5	0	1	0	0	0	0	1	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	2	1	3	0.750	5	10	15	0	0	76	84	65	4	70	696	722	767	18	46	11	2	32	9	1	11.11%	1	0	100.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
26	Springfield Thunderbirds	2	2	0	0	0	0	0	0	12	3	9	1	1	0	0	0	0	0	0	8	0	8	1	1	0	0	0	0	0	0	4	3	1	4	1.000	12	19	31	0	1	76	84	65	4	62	696	722	767	18	60	21	14	46	6	3	50.00%	7	3	57.14%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
27	Syracuse Crunch	3	2	1	0	0	0	0	0	6	5	1	2	1	1	0	0	0	0	0	4	4	0	1	1	0	0	0	0	0	0	2	1	1	4	0.667	6	10	16	0	0	76	84	65	4	81	696	722	767	18	92	29	46	67	11	2	18.18%	16	2	87.50%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
28	Texas Stars	2	1	1	0	0	0	0	0	6	10	-4	1	0	1	0	0	0	0	0	1	6	-5	1	1	0	0	0	0	0	0	5	4	1	2	0.500	6	12	18	0	0	76	84	65	4	70	696	722	767	18	52	17	33	48	3	0	0.00%	9	3	66.67%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
29	Toronto Marlies	4	0	4	0	0	0	0	0	8	14	-6	3	0	3	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	5	-2	0	0.000	8	15	23	1	0	76	84	65	4	112	696	722	767	18	152	29	34	96	12	2	16.67%	15	2	86.67%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
30	Tucson Roadrunners	2	1	0	0	1	0	0	0	9	2	7	1	1	0	0	0	0	0	0	7	1	6	1	0	0	0	1	0	0	0	2	1	1	4	1.000	9	17	26	0	0	76	84	65	4	59	696	722	767	18	46	11	20	51	6	0	0.00%	9	1	88.89%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
31	Wilkes-Barre/Scranton Penguins	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	15	23	0	0	76	84	65	4	85	696	722	767	18	53	14	17	42	6	2	33.33%	4	1	75.00%	0	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
	Total	72	35	28	0	3	4	1	1	229	196	33	36	19	13	0	0	3	0	1	110	90	20	36	16	15	0	3	1	1	0	119	106	13	83	0.576	229	409	638	1	2	76	84	65	4	2196	696	722	767	18	2180	596	714	1647	269	45	16.73%	289	46	84.08%	3	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
	_Since Last GM Reset	72	35	28	0	3	4	1	1	229	196	33	36	19	13	0	0	3	0	1	110	90	20	36	16	15	0	3	1	1	0	119	106	13	83	0.576	229	409	638	1	2	76	84	65	4	2196	696	722	767	18	2180	596	714	1647	269	45	16.73%	289	46	84.08%	3	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
	_Vs Conference	39	19	19	0	0	1	0	0	122	111	11	20	9	10	0	0	1	0	0	57	52	5	19	10	9	0	0	0	0	0	65	59	6	39	0.500	122	212	334	1	2	76	84	65	4	1212	696	722	767	18	1231	316	424	937	145	30	20.69%	178	30	83.15%	1	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
	_Vs Division	23	8	14	0	0	1	0	0	67	66	1	12	3	8	0	0	1	0	0	31	32	-1	11	5	6	0	0	0	0	0	36	34	2	17	0.370	67	120	187	1	1	76	84	65	4	692	696	722	767	18	741	188	272	552	80	17	21.25%	112	20	82.14%	1	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
72	83	L3	229	409	638	2196	2180	596	714	1647	1	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
72	35	28	3	4	1	1	229	196

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	19	13	0	3	0	1	110	90

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	16	15	3	1	1	0	119	106

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	4	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
269	45	16.73%	289	46	84.08%	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
696	722	767	18	76	84	65	4

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1683	1138	1711	554	947	464

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	Link
1 - 2022-10-11	5	Toronto Marlies	3	Utica Comets	2	BL			BoxScore
3 - 2022-10-13	18	Utica Comets	3	Laval Rocket	0	AW			BoxScore
5 - 2022-10-15	33	Utica Comets	3	Rochester Americans	4	AL			BoxScore
7 - 2022-10-17	48	Utica Comets	5	Belleville Senators	2	AW			BoxScore
9 - 2022-10-19	62	Toronto Marlies	4	Utica Comets	2	BL			BoxScore
10 - 2022-10-20	77	Utica Comets	2	Cleveland Monsters	3	AL			BoxScore
13 - 2022-10-23	94	Syracuse Crunch	2	Utica Comets	0	BL			BoxScore
15 - 2022-10-25	113	Abbotsford Canucks	2	Utica Comets	4	BW			BoxScore
16 - 2022-10-26	121	Utica Comets	4	Rockford IceHogs	3	AW			BoxScore
19 - 2022-10-29	144	Colorado Eagles	4	Utica Comets	3	BL			BoxScore
21 - 2022-10-31	161	Utica Comets	3	San Jose Barracuda	2	AW			BoxScore
22 - 2022-11-01	173	Utica Comets	1	Colorado Eagles	2	AL			BoxScore
24 - 2022-11-03	188	Laval Rocket	1	Utica Comets	4	BW			BoxScore
26 - 2022-11-05	206	Utica Comets	3	Laval Rocket	1	AW			BoxScore
29 - 2022-11-08	220	Henderson Silver Knights	2	Utica Comets	3	BW			BoxScore
31 - 2022-11-10	238	Utica Comets	6	San Diego Gulls	2	AW			BoxScore
32 - 2022-11-11	251	Rochester Americans	4	Utica Comets	3	BL			BoxScore
34 - 2022-11-13	265	Utica Comets	5	Rockford IceHogs	2	AW			BoxScore
36 - 2022-11-15	282	Lehigh Valley Phantoms	1	Utica Comets	3	BW			BoxScore
37 - 2022-11-16	295	Utica Comets	3	Calgary Wranglers	2	AW	X		BoxScore
39 - 2022-11-18	312	Utica Comets	4	Bridgeport Islanders	2	AW			BoxScore
40 - 2022-11-19	320	Syracuse Crunch	2	Utica Comets	4	BW			BoxScore
43 - 2022-11-22	344	Utica Comets	5	Belleville Senators	1	AW			BoxScore
44 - 2022-11-23	351	Manitoba Moose	1	Utica Comets	2	BW			BoxScore
47 - 2022-11-26	377	Utica Comets	3	Hershey Bears	7	AL			BoxScore
48 - 2022-11-27	384	Ontario Reign	1	Utica Comets	5	BW			BoxScore
51 - 2022-11-30	406	Utica Comets	3	Cleveland Monsters	4	AL			BoxScore
53 - 2022-12-02	414	Colorado Eagles	4	Utica Comets	0	BL			BoxScore
56 - 2022-12-05	443	Iowa Wild	3	Utica Comets	2	BL			BoxScore
58 - 2022-12-07	455	Utica Comets	3	Lehigh Valley Phantoms	1	AW			BoxScore
60 - 2022-12-09	466	Utica Comets	3	Manitoba Moose	5	AL			BoxScore
62 - 2022-12-11	480	Grand Rapids Griffins	1	Utica Comets	2	BW			BoxScore
64 - 2022-12-13	503	Providence Bruins	3	Utica Comets	4	BW			BoxScore
66 - 2022-12-15	511	Utica Comets	5	Charlotte Checkers	6	AL			BoxScore
67 - 2022-12-16	528	Utica Comets	2	Chicago Wolves	4	AL			BoxScore
69 - 2022-12-18	543	Coachella Valley Firebirds	4	Utica Comets	3	BL	X	X	BoxScore
73 - 2022-12-22	571	Chicago Wolves	3	Utica Comets	2	BL			BoxScore
75 - 2022-12-24	587	Utica Comets	5	Texas Stars	4	AW			BoxScore
76 - 2022-12-25	602	Rockford IceHogs	4	Utica Comets	3	BL	X		BoxScore
79 - 2022-12-28	624	Utica Comets	2	Bakersfield Condors	3	AL	X		BoxScore
80 - 2022-12-29	633	Belleville Senators	1	Utica Comets	3	BW			BoxScore
82 - 2022-12-31	649	Utica Comets	2	Ontario Reign	3	AL			BoxScore
84 - 2023-01-02	664	Laval Rocket	6	Utica Comets	5	BL	X		BoxScore
87 - 2023-01-05	688	Utica Comets	2	Grand Rapids Griffins	4	AL			BoxScore
88 - 2023-01-06	697	Charlotte Checkers	3	Utica Comets	1	BL			BoxScore
91 - 2023-01-09	716	Utica Comets	2	Coachella Valley Firebirds	4	AL			BoxScore
93 - 2023-01-11	730	San Diego Gulls	2	Utica Comets	3	BW			BoxScore
96 - 2023-01-14	753	Utica Comets	5	Henderson Silver Knights	1	AW			BoxScore
97 - 2023-01-15	762	Bridgeport Islanders	2	Utica Comets	1	BL			BoxScore
99 - 2023-01-17	785	Bakersfield Condors	1	Utica Comets	8	BW			BoxScore
101 - 2023-01-19	799	Utica Comets	4	Abbotsford Canucks	3	AW	X	X	BoxScore
103 - 2023-01-21	817	Calgary Wranglers	2	Utica Comets	3	BW			BoxScore
105 - 2023-01-23	830	Utica Comets	2	Milwaukee Admirals	3	AL			BoxScore
106 - 2023-01-24	845	Utica Comets	3	Rochester Americans	4	AL			BoxScore
108 - 2023-01-26	859	San Jose Barracuda	3	Utica Comets	2	BL	X		BoxScore
111 - 2023-01-29	882	Wilkes-Barre/Scranton Penguins	2	Utica Comets	3	BW			BoxScore
114 - 2023-02-01	909	Milwaukee Admirals	2	Utica Comets	3	BW			BoxScore
116 - 2023-02-03	919	Utica Comets	6	Hartford Wolf Pack	4	AW			BoxScore
117 - 2023-02-04	927	Utica Comets	4	Springfield Thunderbirds	3	AW			BoxScore
119 - 2023-02-06	946	Springfield Thunderbirds	0	Utica Comets	8	BW			BoxScore
121 - 2023-02-08	961	Utica Comets	2	Iowa Wild	1	AW	X		BoxScore
123 - 2023-02-10	978	Utica Comets	3	Toronto Marlies	5	AL			BoxScore
124 - 2023-02-11	985	Hershey Bears	4	Utica Comets	5	BW			BoxScore
127 - 2023-02-14	1011	Utica Comets	2	Syracuse Crunch	1	AW			BoxScore
128 - 2023-02-15	1019	Tucson Roadrunners	1	Utica Comets	7	BW			BoxScore
131 - 2023-02-18	1035	Utica Comets	2	Tucson Roadrunners	1	AW	X		BoxScore
132 - 2023-02-19	1049	Hartford Wolf Pack	1	Utica Comets	3	BW			BoxScore
135 - 2023-02-22	1073	Cleveland Monsters	3	Utica Comets	2	BL			BoxScore
137 - 2023-02-24	1086	Utica Comets	5	Wilkes-Barre/Scranton Penguins	3	AW			BoxScore
139 - 2023-02-26	1107	Toronto Marlies	2	Utica Comets	1	BL			BoxScore
143 - 2023-03-02	1129	Texas Stars	6	Utica Comets	1	BL			BoxScore
145 - 2023-03-04	1147	Utica Comets	2	Providence Bruins	6	AL			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	68,715	33,816
Attendance PCT	95.44%	93.93%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2848 - 94.94%	80,896$	2,912,265$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,107,311$	1,920,332$	1,920,332$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	1,907,322$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	21,227$	0$

Utica Comets 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	PKG	PKA	PKP	PKS	GW	GT	FO%	P/20	PSG	PSS
1	Nate Schnarr	144	27	61	88	9	79	134	237	280	9.64%	18	1842	12.79	3	14	17	41	0	0	0	0	3	1	54.59	0.96	0	0
2	Joe Gambardella	144	29	52	81	22	72	118	265	292	9.93%	24	2336	16.22	8	11	19	54	0	1	1	8	4	1	51.49	0.69	1	1
3	Tyce Thompson	121	26	42	68	15	28	102	155	296	8.78%	21	1700	14.05	0	6	6	28	0	0	0	0	4	1	49.57	0.80	2	8
4	Garrett Wilson	144	30	36	66	26	175	254	129	275	10.91%	24	1919	13.33	3	5	8	40	1	0	1	2	5	1	48.89	0.69	0	0
5	Michael Vukojevic	144	12	54	66	30	284	307	98	80	15.00%	138	2627	18.25	5	6	11	26	0	0	0	0	4	0	0.00%	0.50	0	0

Utica Comets Goalies Stat Leaders (Regular Season)

Show or Hide Column

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Nico Daws	71	39	26	5	0.911	2.65	4169	4	2	184	2072	0	1	0.857	7
2	Scott Wedgewood	72	32	25	15	0.908	2.51	4327	10	6	181	1973	1	1	0.634	41
3	Zane McIntyre	2	0	0	0	0.955	1.62	74	0	0	2	44	0	0	0.00%	0
4	Akira Schmid	5	0	2	0	0.907	3.66	164	0	0	10	107	0	0	0.00%	0

Utica Comets 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
2021	72	24	25	0	2	8	6	7	193	191	2	36	13	12	0	1	2	6	2	96	88	8	36	11	13	0	1	6	0	5	97	103	-6	79	193	338	531	1	6	74	55	56	16	1812	617	555	591	92	2018	634	1235	1641	433	53	12.24%	534	70	86.89%	2	978	2222	44.01%	1096	2515	43.58%	503	1070	47.01%	1683	1102	1791	579	931	458
2022	72	35	28	0	3	4	1	1	229	196	33	36	19	13	0	0	3	0	1	110	90	20	36	16	15	0	3	1	1	0	119	106	13	83	229	409	638	1	2	76	84	65	4	2196	696	722	767	18	2180	596	714	1647	269	45	16.73%	289	46	84.08%	3	1248	2317	53.86%	1236	2323	53.21%	599	1115	53.72%	1683	1138	1711	554	947	464
Total Regular Season	144	59	53	0	5	12	7	8	422	387	35	72	32	25	0	1	5	6	3	206	178	28	72	27	28	0	4	7	1	5	216	209	7	162	422	747	1169	2	8	150	139	121	20	4008	1313	1277	1358	110	4198	1230	1949	3288	702	98	13.96%	823	116	85.91%	5	2226	4539	49.04%	2332	4838	48.20%	1102	2185	50.43%	3366	2240	3502	1134	1879	922
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

Utica Comets 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

Utica Comets 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

	Utica Comets
	GP: 72 \| W: 39 \| L: 28 \| OTL: 5 \| P: 83 GF: 229 \| GA: 196 \| PP%: 16.73% \| PK%: 84.08% GM : Anton Larsen \| Morale : 55 \| Team Overall : 57