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

Game Center
	Utica 45-33-4, 94pts	5	FINAL	2	Charlotte 55-21-6, 116pts

Team Stats
W2	Streak	W1
22-17-2	Home Record	31-7-3
23-16-2	Away Record	24-14-3
3-5-2	Last 10 Games	7-3-0
3.24	Goals Per Game	4.01
3.60	Goals Against Per Game	2.90
16.46%	Power Play Percentage	20.53%
80.48%	Penalty Kill Percentage	84.55%

Springfield
44-33-5, 93pts

FINAL

Utica
45-33-4, 94pts

Team Stats
L3	Streak	W2
29-9-3	Home Record	22-17-2
15-24-2	Away Record	23-16-2
5-5-0	Last 10 Games	3-5-2
3.26	Goals Per Game	3.24
2.93	Goals Against Per Game	3.60
16.32%	Power Play Percentage	16.46%
84.36%	Penalty Kill Percentage	80.48%

Team Leaders
	Goals Jonathan Dahlen 34	Assists Dylan Sikura 51

	Points Dylan Sikura 78	Plus/Minus Andy Andreoff 5

	Wins Devan Dubnyk 19	Save Percentage Anders Lindback 0.919

Team Stats
Goals For 266 3.24 GFG	Shots For 2623 31.99 Avg	Power Play Percentage 16.5% 54 GF	Offensive Zone Start 40.4%
Goals Against 295 3.60 GAA	Shots Against 2773 33.82 Avg	Penalty Kill Percentage 80.5%% 65 GA	Defensive Zone Start 41.6%

Team Info
	General Manager	Guillaume Fortin
	Coach	David Quinn
	Division	Atlantique
	Conference	Conference est
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,886
	Season Tickets	300
Roster Info
	Pro Team	18
	Farm Team	21
	Contract Limit	39 / 50
	Prospects	36
Team History
	This Season	45-33-4 (94PTS)
	History	90-66-6 (0.556%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	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 Average
1	Alex Picard		X			100.00	73	34	73	52	75	46	68	64	74	60	63	64	79	73	68	20	50	0	0	35	2	720,000$
2	Andy Andreoff	X	X			100.00	66	34	81	67	86	68	90	68	98	66	66	62	70	55	46	32	50	0	0	30	3	600,000$
3	Jayson Megna	X		X		100.00	65	27	94	74	77	73	87	65	66	64	66	62	1	65	61	35	50	0	0	31	1	800,000$
4	Lauri Korpikoski	X	X	X		100.00	66	29	86	57	77	72	87	66	75	63	66	59	77	77	63	25	50	0	0	34	1	900,000$
5	Vladimir Zharkov		X	X		100.00	54	26	95	62	77	80	94	69	73	62	68	60	82	66	58	29	50	0	0	33	2	950,000$
6	Dylan Sikura (R)	X	X	X		100.00	69	30	99	85	77	72	84	67	70	66	67	71	75	52	52	54	50	0	0	26	1	500,000$
7	John Hayden (R)	X		X		100.00	85	60	74	77	90	74	81	68	70	66	68	68	75	52	52	57	50	0	0	26	1	700,000$
8	Jonathan Dahlen (R)		X	X		100.00	63	30	95	80	80	80	85	72	70	69	74	66	75	42	42	73	50	0	0	23	2	800,000$
9	Keith Aulie				X	100.00	68	63	67	60	86	70	93	49	25	49	50	88	49	67	62	25	50	0	0	32	3	750,000$
10	Jan Rutta				X	100.00	82	33	80	74	87	82	87	53	50	53	46	87	75	65	59	48	50	0	0	30	3	2,000,000$
11	Kevin Gravel				X	100.00	72	31	78	70	93	76	86	51	50	52	50	84	77	59	55	52	50	0	0	29	4	775,000$
12	Brandon Davidson				X	100.00	69	32	80	70	87	85	88	52	50	51	50	88	77	60	52	40	50	0	0	29	4	890,000$
13	Fredrik Claesson				X	100.00	79	31	81	79	85	84	85	53	50	51	50	84	72	55	52	57	50	0	0	28	1	600,000$
Scratches
1	Andrew Ladd		X			100.00	84	41	64	57	80	57	76	68	73	66	70	71	80	75	72	20	50	0	0	35	1	1,000,000$
2	Logan Shaw (R)	X		X		100.00	59	30	98	71	87	71	91	67	86	66	67	79	77	59	59	53	50	0	0	28	1	500,000$
3	Christian Folin				X	100.00	69	37	76	67	84	80	73	44	50	45	42	83	70	59	53	42	50	0	0	30	1	600,000$

	TEAM AVERAGE					100.00	70	36	83	69	83	73	85	61	64	59	60	74	69	61	57	41	50	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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Robin Lehner	100.00	70	75	87	93	82	93	92	94	90	90	83	62	62	39	50	0	0	29	2	1,500,000$
2	Devan Dubnyk	100.00	63	79	92	97	84	91	93	91	92	84	81	78	76	27	50	0	0	35	1	800,000$
Scratches

	TEAM AVERAGE	100.00	67	77	90	95	83	92	93	93	91	87	82	70	69	33	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
David Quinn	68	79	77	71	84	84	76	USA	56	2	600,000$

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	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Dylan Sikura	Utica (NJ )	C/LW/RW	81	27	51	78	-2	18	0	31	172	240	69	205	11.25%	16	1511	18.66	6	17	23	48	246	1	0	1	4	133	5	3	48.29%	1170	0	0	1.03	0	1	0	0	0	3	11	0
2	Jonathan Dahlen	Utica (NJ )	LW/RW	78	34	36	70	-3	10	0	16	83	277	79	197	12.27%	9	1440	18.47	11	13	24	75	274	0	0	0	1	76	6	3	49.69%	163	0	0	0.97	0	2	0	0	0	7	2	5
3	Logan Shaw	Utica (NJ )	C/RW	74	20	37	57	0	8	0	7	153	228	50	141	8.77%	26	1503	20.32	6	9	15	52	206	1	0	1	6	244	3	4	53.87%	2001	0	0	0.76	1	3	0	0	0	1	7	2
4	John Hayden	Utica (NJ )	C/RW	74	25	31	56	-4	73	15	210	107	228	57	143	10.96%	8	1264	17.09	5	9	14	59	220	0	0	0	2	60	5	1	43.96%	1010	1	0	0.89	0	0	1	0	2	7	1	7
5	Brandon Davidson	Utica (NJ )	D	80	10	40	50	-8	45	5	74	93	117	39	78	8.55%	147	1772	22.16	3	5	8	43	188	0	1	1	3	265	1	1	0.00%	0	1	0	0.56	0	0	0	0	1	0	1	3
6	Zach Aston-Reese	New Jersey	LW/RW	47	21	23	44	6	51	15	129	52	168	41	97	12.50%	11	983	20.93	3	9	12	36	162	0	1	1	7	127	2	1	45.45%	165	0	0	0.89	0	1	1	1	1	7	1	1
7	Andy Andreoff	Utica (NJ )	C/LW	82	16	27	43	5	53	15	77	133	154	69	133	10.39%	20	1162	14.17	1	1	2	10	71	0	0	0	0	24	1	0	58.73%	1105	0	0	0.74	0	1	1	0	2	1	1	4
8	Jayson Megna	Utica (NJ )	C/RW	82	12	27	39	-13	12	0	33	68	148	46	109	8.11%	19	1020	12.45	0	1	1	4	44	0	0	0	0	46	3	0	48.26%	230	0	0	0.76	0	0	0	0	0	1	2	0
9	Lauri Korpikoski	Utica (NJ )	C/LW/RW	82	17	20	37	-2	26	0	51	68	135	29	93	12.59%	19	1168	14.25	0	1	1	2	23	0	0	0	3	64	5	1	57.03%	384	0	0	0.63	2	2	0	0	0	2	3	2
10	Kevin Gravel	Utica (NJ )	D	82	10	27	37	1	74	0	132	59	116	24	53	8.62%	120	1599	19.51	3	2	5	51	208	0	0	0	2	170	1	0	0.00%	0	0	0	0.46	0	0	0	0	0	1	3	1
11	Andrew Ladd	Utica (NJ )	LW	71	17	16	33	-3	108	20	252	47	153	47	105	11.11%	17	1383	19.48	5	7	12	33	230	0	0	0	2	179	2	0	49.66%	145	0	1	0.48	0	4	1	2	1	4	1	3
12	Fredrik Claesson	Utica (NJ )	D	69	8	25	33	-2	68	10	123	67	115	41	94	6.96%	139	1619	23.47	4	8	12	63	226	0	0	0	0	218	1	1	0.00%	0	0	0	0.41	0	0	0	0	1	1	3	1
13	Vladimir Zharkov	Utica (NJ )	LW/RW	82	16	16	32	-5	8	0	17	48	160	52	98	10.00%	14	1084	13.23	1	1	2	15	115	0	0	0	0	16	1	0	55.42%	83	0	0	0.59	1	3	0	0	0	1	1	1
14	Keith Aulie	Utica (NJ )	D	81	7	19	26	4	94	20	100	54	69	26	54	10.14%	117	1386	17.12	1	2	3	24	89	0	1	1	1	136	2	0	0.00%	0	0	0	0.38	0	0	1	0	3	0	0	5
15	Josh Jooris	New Jersey	C/RW	22	5	18	23	3	2	0	5	39	62	22	43	8.06%	2	374	17.03	0	7	7	13	71	0	0	0	0	1	2	1	53.94%	558	0	0	1.23	0	1	0	0	0	0	2	1
16	Christian Folin	Utica (NJ )	D	78	1	19	20	-4	54	0	74	61	51	15	31	1.96%	93	1195	15.32	0	2	2	7	51	0	0	0	0	111	0	0	0.00%	0	0	0	0.33	0	0	0	0	0	0	0	0
17	Madison Bowey	New Jersey	D	23	4	14	18	-6	20	0	41	25	51	13	37	7.84%	31	562	24.44	3	2	5	38	74	0	0	0	0	87	1	1	0.00%	0	0	0	0.64	0	0	0	0	0	0	2	1
18	Jan Rutta	Utica (NJ )	D	29	4	11	15	0	45	5	51	34	47	12	21	8.51%	56	697	24.07	2	2	4	32	100	0	0	0	0	81	0	1	0.00%	0	0	0	0.43	0	0	0	0	1	1	1	1
19	Alex Picard	Utica (NJ )	LW	81	9	5	14	-22	52	10	66	28	85	22	59	10.59%	17	693	8.56	0	0	0	0	2	0	0	0	0	14	1	1	45.00%	40	0	0	0.40	0	0	1	0	1	1	0	1
Team Total or Average				1298	263	462	725	-55	821	115	1489	1391	2604	753	1791	10.10%	881	22424	17.28	54	98	152	605	2608	2	3	5	31	2059	42	19	51.87%	7054	2	1	0.65	4	18	6	3	13	38	42	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	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Devan Dubnyk	Utica (NJ )	31	19	10	1	0.906	2.99	1808	2	1	90	961	0	2	0.875	8	30	33	2	3	0
2	Robin Lehner	Utica (NJ )	21	13	7	1	0.898	3.09	1241	2	1	64	626	1	1	1.000	3	21	18	3	0	1
3	Anders Lindback	New Jersey	24	13	9	2	0.919	2.89	1453	8	0	70	861	0	0	0.750	8	24	3	3	0	1
Team Total or Average			76	45	26	4	0.908	2.99	4503	12	2	224	2448	1	3		19	75	54	8	3	2

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	Salary Year 3	Salary Year 4	Link
Alex Picard	Utica (NJ )	LW	35	1985-10-09	No	198 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	720,000$	0$	0$	No	720,000$
Andrew Ladd	Utica (NJ )	LW	35	1985-12-12	No	213 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	1,000,000$	0$	0$	No
Andy Andreoff	Utica (NJ )	C/LW	30	1991-05-17	No	214 Lbs	6 ft1	No	No	No	No	3	Pro & Farm	600,000$	0$	0$	No	600,000$	600,000$		Link
Brandon Davidson	Utica (NJ )	D	29	1991-08-21	No	219 Lbs	6 ft2	No	No	No	No	4	Pro & Farm	890,000$	0$	0$	No	890,000$	890,000$	890,000$	Link
Christian Folin	Utica (NJ )	D	30	1991-02-09	No	219 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	600,000$	0$	0$	No				Link
Devan Dubnyk	Utica (NJ )	G	35	1986-05-04 05:37:02	No	221 Lbs	6 ft6	No	No	No	No	1	Pro & Farm	800,000$	0$	0$	No
Dylan Sikura	Utica (NJ )	C/LW/RW	26	1995-06-01 21:26:40	Yes	170 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	500,000$	0$	0$	No				Link
Fredrik Claesson	Utica (NJ )	D	28	1992-11-24	No	198 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	600,000$	0$	0$	No				Link
Jan Rutta	Utica (NJ )	D	30	1990-07-29	No	201 Lbs	6 ft3	No	No	No	No	3	Pro & Farm	2,000,000$	0$	0$	No	2,000,000$	2,000,000$		Link
Jayson Megna	Utica (NJ )	C/RW	31	1990-02-01	No	197 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	800,000$	0$	0$	No				Link
John Hayden	Utica (NJ )	C/RW	26	1995-02-14 21:29:35	Yes	223 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	700,000$	0$	0$	No				Link
Jonathan Dahlen	Utica (NJ )	LW/RW	23	1997-12-20 21:32:48	Yes	180 Lbs	5 ft11	No	No	No	No	2	Pro & Farm	800,000$	0$	0$	No	800,000$			Link
Keith Aulie	Utica (NJ )	D	32	1989-06-11	No	237 Lbs	6 ft6	No	No	No	No	3	Pro & Farm	750,000$	0$	0$	No	750,000$	750,000$		Link
Kevin Gravel	Utica (NJ )	D	29	1992-03-06	No	214 Lbs	6 ft4	No	No	No	No	4	Pro & Farm	775,000$	0$	0$	No	775,000$	775,000$	775,000$	Link
Lauri Korpikoski	Utica (NJ )	C/LW/RW	34	1986-07-28	No	203 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	900,000$	0$	0$	No
Logan Shaw	Utica (NJ )	C/RW	28	1992-10-05 21:35:49	Yes	208 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	500,000$	0$	0$	No				Link
Robin Lehner	Utica (NJ )	G	29	1991-07-24 07:23:49	No	250 Lbs	6 ft4	No	No	No	No	2	Pro & Farm	1,500,000$	0$	0$	No	1,500,000$			Link
Vladimir Zharkov	Utica (NJ )	LW/RW	33	1988-01-10	No	210 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	950,000$	0$	0$	No	950,000$			Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
18	30.17	210 Lbs	6 ft2	1.89	854,722$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Jonathan Dahlen	32	1	2	2
2	Dylan Sikura	John Hayden	Vladimir Zharkov	32	1	2	2
3	Lauri Korpikoski	Andy Andreoff	Jayson Megna	31	1	2	2
4	Alex Picard			5	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jan Rutta	Fredrik Claesson	40	1	2	2
2	Brandon Davidson	Kevin Gravel	30	1	2	2
3	Keith Aulie	Alex Picard	20	1	2	2
4	Jan Rutta	Fredrik Claesson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Jonathan Dahlen	60	1	2	2
2	Dylan Sikura	John Hayden	Vladimir Zharkov	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jan Rutta	Fredrik Claesson	60	1	2	2
2	Brandon Davidson	Kevin Gravel	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2	Jonathan Dahlen	John Hayden	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jan Rutta	Fredrik Claesson	60	1	2	2
2	Brandon Davidson	Kevin Gravel	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2	Jan Rutta	Fredrik Claesson	60	1	2	2
2		40	1	2	2	Brandon Davidson	Kevin Gravel	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2	Jonathan Dahlen	John Hayden	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jan Rutta	Fredrik Claesson	60	1	2	2
2	Brandon Davidson	Kevin Gravel	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Jonathan Dahlen	Jan Rutta	Fredrik Claesson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Jonathan Dahlen	Jan Rutta	Fredrik Claesson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Andy Andreoff, Lauri Korpikoski, Jayson Megna	Andy Andreoff, Lauri Korpikoski	Jayson Megna

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Keith Aulie, Brandon Davidson, Kevin Gravel	Keith Aulie	Brandon Davidson, Kevin Gravel

Penalty Shots
, , Jonathan Dahlen, John Hayden, Dylan Sikura

Goalie
#1 : Devan Dubnyk, #2 : Robin Lehner

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

Custom OT Lines Defensemen
, , , ,

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	2	1	1	0	0	0	0	0	5	9	-4	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	5	10	15	0	0	84	97	81	5	88	866	908	829	39	69	21	17	37	10	2	20.00%	5	1	80.00%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
2	Bakersfield	2	1	1	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	1	6	-5	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	6	10	0	0	84	97	81	5	45	866	908	829	39	77	19	31	42	7	1	14.29%	13	3	76.92%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
3	Charlotte	6	3	2	0	0	0	1	0	20	19	1	3	1	2	0	0	0	0	0	5	11	-6	3	2	0	0	0	0	1	0	15	8	7	8	0.667	20	33	53	0	0	84	97	81	5	200	866	908	829	39	211	101	86	113	12	1	8.33%	32	7	78.13%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
4	Cleveland	5	1	4	0	0	0	0	0	15	28	-13	3	1	2	0	0	0	0	0	8	12	-4	2	0	2	0	0	0	0	0	7	16	-9	2	0.200	15	24	39	1	0	84	97	81	5	160	866	908	829	39	169	64	45	91	19	1	5.26%	14	4	71.43%	1	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
5	Grand Rapids	4	2	2	0	0	0	0	0	11	13	-2	2	1	1	0	0	0	0	0	7	8	-1	2	1	1	0	0	0	0	0	4	5	-1	4	0.500	11	20	31	0	0	84	97	81	5	146	866	908	829	39	123	37	26	70	20	4	20.00%	11	1	90.91%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
6	Hartford	6	3	3	0	0	0	0	0	19	17	2	3	3	0	0	0	0	0	0	14	6	8	3	0	3	0	0	0	0	0	5	11	-6	6	0.500	19	31	50	0	0	84	97	81	5	168	866	908	829	39	176	56	64	94	26	5	19.23%	27	4	85.19%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
7	Hershey	6	3	2	0	0	1	0	0	24	24	0	3	1	1	0	0	1	0	0	11	12	-1	3	2	1	0	0	0	0	0	13	12	1	7	0.583	24	45	69	0	1	84	97	81	5	195	866	908	829	39	216	78	56	113	21	3	14.29%	27	4	85.19%	1	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
8	Iowa	2	2	0	0	0	0	0	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	4	1.000	6	12	18	0	0	84	97	81	5	65	866	908	829	39	52	15	16	39	7	0	0.00%	8	1	87.50%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
9	Laval	4	2	2	0	0	0	0	0	16	14	2	2	0	2	0	0	0	0	0	7	10	-3	2	2	0	0	0	0	0	0	9	4	5	4	0.500	16	29	45	1	0	84	97	81	5	133	866	908	829	39	142	51	40	92	22	6	27.27%	13	3	76.92%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
10	Lehigh Valley	6	4	0	0	0	0	1	1	25	19	6	3	2	0	0	0	0	1	0	12	8	4	3	2	0	0	0	0	0	1	13	11	2	11	0.917	25	44	69	0	0	84	97	81	5	234	866	908	829	39	227	72	78	112	30	6	20.00%	28	5	82.14%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
11	Manitoba	2	1	1	0	0	0	0	0	8	9	-1	1	0	1	0	0	0	0	0	5	7	-2	1	1	0	0	0	0	0	0	3	2	1	2	0.500	8	16	24	0	0	84	97	81	5	73	866	908	829	39	58	19	18	39	9	2	22.22%	6	1	83.33%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
12	Milwaukee	2	1	1	0	0	0	0	0	6	9	-3	1	0	1	0	0	0	0	0	5	9	-4	1	1	0	0	0	0	0	0	1	0	1	2	0.500	6	11	17	0	1	84	97	81	5	69	866	908	829	39	69	17	20	40	9	1	11.11%	10	6	40.00%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
13	Ontario	2	1	1	0	0	0	0	0	5	11	-6	1	0	1	0	0	0	0	0	1	9	-8	1	1	0	0	0	0	0	0	4	2	2	2	0.500	5	9	14	0	0	84	97	81	5	62	866	908	829	39	47	10	16	36	10	0	0.00%	8	3	62.50%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
14	Providence	4	4	0	0	0	0	0	0	14	9	5	2	2	0	0	0	0	0	0	7	4	3	2	2	0	0	0	0	0	0	7	5	2	8	1.000	14	22	36	0	0	84	97	81	5	125	866	908	829	39	140	32	34	65	24	5	20.83%	17	2	88.24%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
15	Rochester	4	0	3	0	0	1	0	0	6	13	-7	2	0	1	0	0	1	0	0	3	6	-3	2	0	2	0	0	0	0	0	3	7	-4	1	0.125	6	11	17	1	0	84	97	81	5	100	866	908	829	39	134	39	43	69	13	2	15.38%	15	0	100.00%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
16	Rockford	3	1	2	0	0	0	0	0	5	17	-12	2	1	1	0	0	0	0	0	5	12	-7	1	0	1	0	0	0	0	0	0	5	-5	2	0.333	5	7	12	0	0	84	97	81	5	70	866	908	829	39	137	46	50	50	7	1	14.29%	13	4	69.23%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
17	San Diego	2	0	1	0	0	0	0	1	8	10	-2	1	0	1	0	0	0	0	0	3	4	-1	1	0	0	0	0	0	0	1	5	6	-1	1	0.250	8	13	21	0	0	84	97	81	5	62	866	908	829	39	74	18	19	27	5	1	20.00%	7	4	42.86%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
18	San Jose	2	1	1	0	0	0	0	0	6	7	-1	1	1	0	0	0	0	0	0	5	4	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	6	11	17	0	0	84	97	81	5	64	866	908	829	39	75	23	14	36	9	2	22.22%	7	1	85.71%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
19	Springfield	2	1	0	0	0	0	1	0	8	4	4	1	1	0	0	0	0	0	0	4	1	3	1	0	0	0	0	0	1	0	4	3	1	4	1.000	8	14	22	0	0	84	97	81	5	57	866	908	829	39	74	21	14	50	9	3	33.33%	6	2	66.67%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
20	Texas	4	1	3	0	0	0	0	0	9	15	-6	1	1	0	0	0	0	0	0	4	3	1	3	0	3	0	0	0	0	0	5	12	-7	2	0.250	9	16	25	0	0	84	97	81	5	116	866	908	829	39	151	58	46	72	11	1	9.09%	20	3	85.00%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
21	Toronto	4	3	1	0	0	0	0	0	13	11	2	2	1	1	0	0	0	0	0	6	7	-1	2	2	0	0	0	0	0	0	7	4	3	6	0.750	13	23	36	0	0	84	97	81	5	152	866	908	829	39	94	25	24	85	18	3	16.67%	11	2	81.82%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
22	Tucson	2	2	0	0	0	0	0	0	8	3	5	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	8	14	22	0	0	84	97	81	5	62	866	908	829	39	61	11	18	27	7	0	0.00%	7	1	85.71%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
23	Wilkes-Barre/Scranton	6	3	2	0	1	0	0	0	25	22	3	3	1	1	0	1	0	0	0	11	11	0	3	2	1	0	0	0	0	0	14	11	3	8	0.667	25	47	72	0	0	84	97	81	5	177	866	908	829	39	197	63	72	117	23	4	17.39%	28	3	89.29%	0	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
	Total	82	41	33	0	1	2	3	2	266	295	-29	41	20	17	0	1	2	1	0	134	156	-22	41	21	16	0	0	0	2	2	132	139	-7	94	0.573	266	468	734	3	2	84	97	81	5	2623	866	908	829	39	2773	896	847	1516	328	54	16.46%	333	65	80.48%	2	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
	_Since Last GM Reset	82	41	33	0	1	2	3	2	266	295	-29	41	20	17	0	1	2	1	0	134	156	-22	41	21	16	0	0	0	2	2	132	139	-7	94	0.573	266	468	734	3	2	84	97	81	5	2623	866	908	829	39	2773	896	847	1516	328	54	16.46%	333	65	80.48%	2	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
	_Vs Conference	55	28	21	0	1	2	2	1	188	189	-1	28	13	11	0	1	2	1	0	91	95	-4	27	15	10	0	0	0	1	1	97	94	3	65	0.591	188	329	517	3	1	84	97	81	5	1790	866	908	829	39	1829	618	568	1021	228	40	17.54%	223	35	84.30%	2	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529
	_Vs Division	29	16	9	0	1	1	2	1	108	110	-2	15	8	4	0	1	1	1	0	56	49	7	14	8	5	0	0	0	1	1	52	61	-9	40	0.690	108	191	299	1	1	84	97	81	5	934	866	908	829	39	985	333	315	527	119	19	15.97%	124	20	83.87%	2	1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%	1891	1264	1989	633	1070	529

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	94	W2	266	468	734	2623	2773	896	847	1516	3	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	41	33	1	2	3	2	266	295

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	17	1	2	1	0	134	156

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	21	16	0	0	2	2	132	139

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	5	0	1	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
328	54	16.46%	333	65	80.48%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
866	908	829	39	84	97	81	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1529	3005	50.88%	1557	3090	50.39%	665	1337	49.74%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1891	1264	1989	633	1070	529

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 - 2022-11-25	1	Utica	0	Texas	4	AL			BoxScore
4 - 2022-11-26	17	Utica	6	Lehigh Valley	4	AW			BoxScore
5 - 2022-11-27	24	Wilkes-Barre/Scranton	3	Utica	4	BW			BoxScore
9 - 2022-11-29	44	Charlotte	1	Utica	2	BW			BoxScore
11 - 2022-11-30	54	Utica	5	Charlotte	4	AW	X	X	BoxScore
13 - 2022-12-01	63	Cleveland	1	Utica	3	BW			BoxScore
16 - 2022-12-02	81	Hartford	3	Utica	7	BW			BoxScore
18 - 2022-12-03	93	Utica	2	Hartford	3	AL			BoxScore
19 - 2022-12-04	103	Utica	7	Wilkes-Barre/Scranton	2	AW			BoxScore
22 - 2022-12-05	114	Lehigh Valley	3	Utica	4	BW			BoxScore
24 - 2022-12-06	129	Hershey	3	Utica	5	BW			BoxScore
25 - 2022-12-07	135	Utica	4	Hershey	2	AW			BoxScore
28 - 2022-12-08	152	Grand Rapids	6	Utica	2	BL			BoxScore
32 - 2022-12-10	169	Utica	4	Lehigh Valley	3	AW			BoxScore
34 - 2022-12-11	177	Hartford	1	Utica	4	BW			BoxScore
37 - 2022-12-13	196	Charlotte	3	Utica	1	BL			BoxScore
39 - 2022-12-14	209	Utica	0	Rockford	5	AL			BoxScore
41 - 2022-12-15	219	Utica	3	Lehigh Valley	4	AL	X	X	BoxScore
42 - 2022-12-15	227	Cleveland	5	Utica	3	BL			BoxScore
46 - 2022-12-17	244	San Diego	4	Utica	3	BL			BoxScore
48 - 2022-12-18	256	Utica	1	Milwaukee	0	AW			BoxScore
50 - 2022-12-19	270	Toronto	3	Utica	4	BW			BoxScore
52 - 2022-12-20	276	Utica	4	Laval	2	AW			BoxScore
54 - 2022-12-21	289	Utica	3	Iowa	2	AW			BoxScore
55 - 2022-12-22	297	Ontario	9	Utica	1	BL			BoxScore
58 - 2022-12-23	314	Utica	1	San Jose	3	AL			BoxScore
60 - 2022-12-24	323	Iowa	2	Utica	3	BW			BoxScore
62 - 2022-12-25	334	Utica	3	Grand Rapids	1	AW			BoxScore
64 - 2022-12-26	345	Bakersfield	6	Utica	1	BL			BoxScore
66 - 2022-12-27	358	Utica	4	Ontario	2	AW			BoxScore
68 - 2022-12-28	365	Utica	4	Tucson	1	AW			BoxScore
70 - 2022-12-29	376	Lehigh Valley	1	Utica	3	BW			BoxScore
74 - 2022-12-31	395	Hershey	4	Utica	2	BL			BoxScore
78 - 2023-01-02	415	Abbotsford	2	Utica	3	BW			BoxScore
80 - 2023-01-03	424	Utica	2	Texas	3	AL			BoxScore
82 - 2023-01-04	438	Laval	2	Utica	1	BL			BoxScore
84 - 2023-01-05	447	Utica	3	Manitoba	2	AW			BoxScore
87 - 2023-01-07	463	Hershey	5	Utica	4	BL	X		BoxScore
90 - 2023-01-08	478	Utica	3	Cleveland	5	AL			BoxScore
92 - 2023-01-09	486	Utica	4	Providence	3	AW			BoxScore
93 - 2023-01-10	492	Lehigh Valley	4	Utica	5	BW	X	X	BoxScore
96 - 2023-01-11	506	Utica	6	Hershey	10	AL			BoxScore
98 - 2023-01-12	517	Milwaukee	9	Utica	5	BL			BoxScore
100 - 2023-01-13	529	Utica	4	Cleveland	11	AL			BoxScore
101 - 2023-01-14	538	Utica	2	Abbotsford	7	AL			BoxScore
103 - 2023-01-15	546	Rockford	2	Utica	3	BW			BoxScore
106 - 2023-01-16	563	Toronto	4	Utica	2	BL			BoxScore
108 - 2023-01-17	570	Utica	4	Springfield	3	AW	X	X	BoxScore
110 - 2023-01-18	578	Utica	3	Hershey	0	AW			BoxScore
111 - 2023-01-19	588	Cleveland	6	Utica	2	BL			BoxScore
115 - 2023-01-21	602	Utica	3	Providence	2	AW			BoxScore
117 - 2023-01-22	611	Grand Rapids	2	Utica	5	BW			BoxScore
119 - 2023-01-23	618	Utica	3	Bakersfield	2	AW			BoxScore
123 - 2023-01-25	637	Providence	2	Utica	3	BW			BoxScore
125 - 2023-01-26	650	Utica	5	Laval	2	AW			BoxScore
126 - 2023-01-26	659	Laval	8	Utica	6	BL			BoxScore
131 - 2023-01-29	681	Manitoba	7	Utica	5	BL			BoxScore
135 - 2023-01-31	704	Rockford	10	Utica	2	BL			BoxScore
137 - 2023-02-01	711	Utica	3	Toronto	1	AW			BoxScore
140 - 2023-02-02	727	Utica	3	Texas	5	AL			BoxScore
141 - 2023-02-03	732	Tucson	2	Utica	4	BW			BoxScore
145 - 2023-02-05	751	Rochester	4	Utica	2	BL			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
148 - 2023-02-06	771	San Jose	4	Utica	5	BW			BoxScore
150 - 2023-02-07	783	Utica	1	Grand Rapids	4	AL			BoxScore
154 - 2023-02-09	795	Wilkes-Barre/Scranton	4	Utica	5	BW	X		BoxScore
156 - 2023-02-10	809	Utica	4	Toronto	3	AW			BoxScore
158 - 2023-02-11	820	Texas	3	Utica	4	BW			BoxScore
160 - 2023-02-12	832	Utica	1	Hartford	4	AL			BoxScore
163 - 2023-02-14	843	Providence	2	Utica	4	BW			BoxScore
164 - 2023-02-14	851	Utica	4	Wilkes-Barre/Scranton	2	AW			BoxScore
167 - 2023-02-16	867	Hartford	2	Utica	3	BW			BoxScore
168 - 2023-02-16	872	Utica	3	Wilkes-Barre/Scranton	7	AL			BoxScore
170 - 2023-02-17	879	Utica	2	Hartford	4	AL			BoxScore
173 - 2023-02-19	893	Wilkes-Barre/Scranton	4	Utica	2	BL			BoxScore
175 - 2023-02-20	904	Utica	5	Charlotte	2	AW			BoxScore
176 - 2023-02-20	907	Utica	1	Rochester	3	AL			BoxScore
180 - 2023-02-22	919	Utica	5	San Diego	6	AL	X	X	BoxScore
182 - 2023-02-23	925	Rochester	2	Utica	1	BL	X		BoxScore
185 - 2023-02-25	939	Utica	2	Rochester	4	AL			BoxScore
188 - 2023-02-26	950	Charlotte	7	Utica	2	BL			BoxScore
190 - 2023-02-27	958	Utica	5	Charlotte	2	AW			BoxScore
195 - 2023-03-02	974	Springfield	1	Utica	4	BW			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	41	24
Attendance	78,862	39,454
Attendance PCT	96.17%	96.23%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2886 - 96.19%	137,933$	5,655,253$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,031,800$	1,538,500$	1,538,500$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
7,770$	1,431,818$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	10,801$	0$

Utica 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	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSS
1	Vladislav Kamenev	112	58	74	132	20	36	108	326	512	11.33%	14	2424	21.65	14	28	42	100	4	2	6	12	8	4	55.83	2	1.09	2
2	Micheal Ferland	134	46	80	126	4	128	190	136	426	10.80%	18	2600	19.41	16	26	42	90	0	0	0	12	4	0	54.42	0	0.97	2
3	Christian Fischer	156	44	74	118	-8	132	310	226	460	9.57%	24	2946	18.89	10	26	36	104	0	0	0	4	6	4	47.88	0	0.80	2
4	Alan Quine	162	48	66	114	-10	40	92	212	502	9.56%	16	2951	18.22	14	14	28	106	0	0	0	2	8	6	49.21	0	0.77	2
5	Taylor Beck	156	62	48	110	-16	36	88	134	372	16.67%	50	2744	17.59	18	14	32	106	0	0	0	0	10	4	50.54	2	0.80	0

Utica 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	Ondrej Pavelec	94	56	30	6	0.918	2.67	5621	12	8	250	3046	0	6	0	0.750	16
2	Thomas Greiss	52	22	24	6	0.912	2.99	3090	0	2	154	1742	0	0	0	0.00%	4

Utica 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
20	82	35	34	0	7	3	0	3	260	269	-9	41	19	16	0	3	1	0	2	133	127	6	41	16	18	0	4	2	0	1	127	142	-15	90	260	456	716	0	5	74	99	80	7	2649	860	921	834	44	2838	814	848	1390	345	71	20.58%	369	65	82.38%	3	1487	3052	48.72%	1479	3121	47.39%	655	1311	49.96%	1917	1281	1972	622	1072	533
20	82	35	34	0	7	3	0	3	260	269	-9	41	19	16	0	3	1	0	2	133	127	6	41	16	18	0	4	2	0	1	127	142	-15	90	260	456	716	0	5	74	99	80	7	2649	860	921	834	44	2838	814	848	1390	345	71	20.58%	369	65	82.38%	3	1487	3052	48.72%	1479	3121	47.39%	655	1311	49.96%	1917	1281	1972	622	1072	533
Total Regular Season	164	82	66	0	2	4	6	4	532	590	-58	82	40	34	0	2	4	2	0	268	312	-44	82	42	32	0	0	0	4	4	264	278	-14	188	532	936	1468	6	4	168	194	162	10	5246	1732	1816	1658	78	5546	1792	1694	3032	656	108	16.46%	666	130	80.48%	4	3058	6010	50.88%	3114	6180	50.39%	1330	2674	49.74%	3782	2528	3978	1266	2140	1059
Playoff
Total Playoff											0											0	0	0	0	0	0	0	0	0	0	0	0																						0.00%			0.00%				0.00%			0.00%			0.00%	0	0	0	0	0	0

Utica 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

Utica 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
	GP: 82 \| W: 45 \| L: 33 \| OTL: 4 \| P: 94 GF: 266 \| GA: 295 \| PP%: 16.46% \| PK%: 80.48% GM : Guillaume Fortin \| Morale : 50 \| Team Overall : N/A