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

Game Center
	Utica Comets 9-1-0, 18pts	3	FINAL	2	Providence Bruins 8-2-0, 16pts

Team Stats
W6	Streak	W1
4-0-0	Home Record	3-1-0
5-1-0	Home Record	5-1-0
9-1-0	Last 10 Games	8-2-0
4.00	Goals Per Game	4.20
0.90	Goals Against Per Game	2.50
25.00%	Power Play Percentage	11.11%
91.18%	Penalty Kill Percentage	82.35%

Bridgeport Islanders
3-6-1, 7pts

FINAL

Utica Comets
9-1-0, 18pts

Team Stats
SOL1	Streak	W6
2-2-1	Home Record	4-0-0
1-4-0	Home Record	5-1-0
3-6-1	Last 10 Games	9-1-0
2.00	Goals Per Game	4.00
4.60	Goals Against Per Game	0.90
9.52%	Power Play Percentage	25.00%
60.00%	Penalty Kill Percentage	91.18%

LeHigh Valley Phantoms
1-9-0, 2pts

Day 24

Utica Comets
9-1-0, 18pts

Team Stats
L2	Streak	W6
1-3-0	Home Record	4-0-0
0-6-0	Away Record	5-1-0
1-9-0	Last 10 Games	9-1-0
1.50	Goals Per Game	4.00
4.00	Goals Against Per Game	4.00
15.00%	Power Play Percentage	25.00%
81.82%	Penalty Kill Percentage	91.18%

Providence Bruins
8-2-0, 16pts

Day 28

Utica Comets
9-1-0, 18pts

Team Stats
W1	Streak	W6
3-1-0	Home Record	4-0-0
5-1-0	Away Record	5-1-0
8-2-0	Last 10 Games	9-1-0
4.20	Goals Per Game	4.00
2.50	Goals Against Per Game	4.00
11.11%	Power Play Percentage	25.00%
82.35%	Penalty Kill Percentage	91.18%

Wilkes-Barre/Scranton Penguins
8-2-0, 16pts

Day 30

Utica Comets
9-1-0, 18pts

Team Stats
W3	Streak	W6
4-0-0	Home Record	4-0-0
4-2-0	Away Record	5-1-0
8-2-0	Last 10 Games	9-1-0
4.00	Goals Per Game	4.00
0.90	Goals Against Per Game	4.00
18.18%	Power Play Percentage	25.00%
90.32%	Penalty Kill Percentage	91.18%

Team Leaders
	Goals Hudson Fasching 8	Assists Logan Shaw 18

	Points Logan Shaw 24	Plus/Minus Logan Shaw 22

	Wins Adam Scheel 8	Save Percentage Adam Scheel 0.937

Team Stats
Goals For 40 4.00 GFG	Shots For 352 35.20 Avg	Power Play Percentage 25.0% 6 GF	Offensive Zone Start 44.1%
Goals Against 9 0.90 GAA	Shots Against 135 13.50 Avg	Penalty Kill Percentage 91.2%% 3 GA	Defensive Zone Start 32.7%

Team Info
	General Manager	Jonathan Brock et Marc-Andre Marinier
	Division	ATLANTIC
	Conference	Conference 1
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	1,724
	Season Tickets	300
Roster Info
	Pro Team	22
	Farm Team	18
	Contract Limit	40 / 250
	Prospects	40

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	TA	SP	Age	Contract	Salary
1	Dalton Smith (R)		X			100.00	73	62	53	54	82	68	69	53	56	52	51	55	50	72	74	47	50	0		0	33	1	775,000$
2	Logan Shaw	X		X		100.00	76	40	85	64	85	95	86	63	70	65	66	64	63	72	77	40	50	0		0	31	3	1,999,999$
3	Stefan Noesen			X		100.00	73	49	88	67	78	80	89	68	59	72	66	63	65	73	75	64	42	0		0	31	1	999,999$
4	Hudson Fasching			X		100.00	74	38	95	67	85	83	81	64	54	65	66	62	63	69	70	48	50	0	N	0	29	3	995,000$
5	Jonah Gadjovich (R)		X	X		100.00	79	77	53	60	82	72	74	61	53	59	62	58	60	66	68	67	47	0		0	25	1	832,500$
6	Spencer Smallman			X		100.00	68	41	77	59	77	75	81	57	54	55	58	56	59	68	70	47	50	0		0	28	3	975,000$
7	Anthony Angello			X		100.00	82	44	68	58	91	69	80	57	60	56	55	59	54	68	70	46	50	0		0	28	2	775,000$
8	Brian Pinho	X				100.00	66	37	95	60	75	85	83	58	68	61	57	59	58	69	71	40	50	0		0	29	1	775,000$
9	Corey Andonovski (R)			X		100.00	67	43	66	61	76	74	83	57	62	60	55	56	58	65	67	42	50	0		0	25	1	925,000$
10	James Malatesta (R)		X			100.00	75	41	67	65	68	84	72	64	55	61	62	63	65	61	66	58	50	0		0	21	3	862,500$
11	Matthew Knies (R)		X			100.00	78	54	82	73	87	83	75	69	50	70	67	65	68	62	67	71	50	0		0	21	2	925,000$
12	Ryder Rolston (R)			X		100.00	63	36	95	58	72	81	71	56	59	54	57	53	56	63	65	56	50	0		0	22	2	867,500$
13	Kevin Connauton				X	100.00	72	43	71	59	81	73	83	58	30	57	53	56	46	74	76	34	50	0	N	0	34	4	1,999,999$
14	Mark Pysyk				X	100.00	68	38	88	55	77	68	66	54	30	53	50	56	45	72	74	50	50	0	N	0	32	1	975,000$
15	Dillon Heatherington				X	100.00	76	41	75	57	89	72	83	56	30	55	54	58	47	69	73	58	50	0	N	0	29	1	1,999,999$
16	Guillaume Brisebois (R)				X	100.00	40	35	40	67	35	80	90	40	20	40	40	40	30	66	68	11	50	0		0	27	2	775,000$
17	Mark Friedman				X	100.00	73	40	75	65	69	80	74	63	30	64	59	66	50	69	71	52	50	0	N	0	28	3	1,999,999$
18	Nikolas Brouillard				X	100.00	70	52	58	61	64	72	87	58	30	64	54	56	47	69	71	36	50	0		0	29	1	925,000$
Scratches
1	Cameron Gaunce				X	100.00	67	42	70	58	76	67	77	54	30	55	52	57	45	74	76	38	50	0	N	0	34	4	1,999,999$
2	Dan Renouf				X	100.00	67	42	69	59	82	75	82	57	30	58	55	61	47	70	72	35	50	0	N	0	30	4	1,999,999$

	TEAM AVERAGE					100.00	70	45	74	61	77	77	79	58	47	59	57	58	54	69	71	47	49	0

Show or Hide Columns

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Adam Scheel	100.00	61	95	74	82	62	59	60	60	60	50	67	65	73	42	50	0	0	25	1	925,000$
2	Matej Machovsky	100.00	40	90	80	50	40	40	40	40	40	40	40	25	25	11	47	0	0	31	1	700,000$
Scratches

	TEAM AVERAGE	100.00	51	93	77	66	51	50	50	50	50	45	54	45	49	27	49	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	FW	FT	S1	S2	S3
1	Logan Shaw	Utica Comets (NJD)	C/RW	10	6	18	24	22	4	0	12	22	63	15	48	9.52%	1	251	25.17	1	4	5	6	21	1	31	1	0	81.36%	236	0	1.91	0	0	3	3	2
2	Matthew Knies	Utica Comets (NJD)	LW	10	5	7	12	11	6	0	10	14	36	4	27	13.89%	0	160	16.02	0	1	1	3	12	1	17	1	0	64.06%	64	1	1.50	0	0	1	1	0
3	Hudson Fasching	Utica Comets (NJD)	RW	10	8	3	11	8	0	0	6	10	53	13	39	15.09%	0	197	19.72	0	2	2	3	17	0	9	1	0	57.14%	21	0	1.12	0	0	0	0	3
4	Spencer Smallman	Utica Comets (NJD)	RW	10	4	6	10	10	0	0	6	4	17	5	16	23.53%	3	113	11.31	0	1	1	2	3	0	0	3	1	100.00%	8	0	1.77	0	0	2	0	1
5	Stefan Noesen	Utica Comets (NJD)	RW	5	4	5	9	10	2	0	4	7	24	4	10	16.67%	0	97	19.56	0	1	1	3	10	0	3	1	0	60.00%	5	0	1.84	0	0	1	1	0
6	Kevin Connauton	Utica Comets (NJD)	D	10	1	5	6	12	29	5	25	4	6	5	9	16.67%	1	186	18.64	0	0	0	5	21	0	19	0	0	0%	0	0	0.64	1	0	0	0	0
7	Jonah Gadjovich	Utica Comets (NJD)	LW/RW	10	1	5	6	9	25	5	24	6	31	10	17	3.23%	2	175	17.58	1	1	2	3	12	0	15	0	0	85.71%	7	0	0.68	0	1	0	0	1
8	Anthony Angello	Utica Comets (NJD)	RW	8	2	4	6	6	10	0	13	6	14	6	11	14.29%	0	97	12.21	0	0	0	0	0	1	2	0	0	85.71%	7	0	1.23	0	0	0	1	0
9	Brian Pinho	Utica Comets (NJD)	C	10	1	5	6	3	2	0	2	15	25	12	19	4.00%	1	214	21.45	0	1	1	9	19	0	13	0	0	75.16%	161	0	0.56	0	0	0	0	0
10	Mark Friedman	Utica Comets (NJD)	D	10	1	4	5	11	0	0	8	6	10	5	3	10.00%	3	172	17.29	0	1	1	6	14	0	13	1	0	0%	0	0	0.58	0	0	0	0	0
11	Dan Renouf	Utica Comets (NJD)	D	8	2	2	4	4	4	0	14	2	11	3	6	18.18%	3	154	19.25	2	0	2	8	17	0	19	0	0	0%	0	0	0.52	0	0	0	0	1
12	Dillon Heatherington	Utica Comets (NJD)	D	10	2	2	4	12	0	0	11	2	6	1	3	33.33%	4	173	17.38	0	0	0	3	11	0	20	1	0	0%	0	0	0.46	0	0	0	0	1
13	Cameron Gaunce	Utica Comets (NJD)	D	9	0	3	3	6	0	0	10	2	3	3	2	0%	1	164	18.25	0	0	0	1	8	0	12	0	0	0%	0	0	0.37	0	0	1	0	0
14	James Malatesta	Utica Comets (NJD)	LW	7	0	3	3	5	4	0	20	6	24	4	13	0%	0	113	16.19	0	0	0	4	10	0	5	0	0	50.00%	2	0	0.53	0	0	0	1	0
15	Ryder Rolston	Utica Comets (NJD)	RW	4	2	1	3	0	0	0	1	0	14	3	1	14.29%	0	49	12.41	1	0	1	1	0	0	0	0	0	33.33%	3	0	1.21	0	0	0	1	0
16	Mark Pysyk	Utica Comets (NJD)	D	9	0	1	1	3	2	0	7	3	4	0	1	0%	6	102	11.34	0	0	0	1	8	0	10	0	0	0%	0	0	0.20	0	0	0	0	0
17	Nikolas Brouillard	Utica Comets (NJD)	D	10	0	1	1	5	2	0	11	4	4	1	5	0%	0	139	13.98	0	0	0	3	2	0	4	0	0	0%	0	0	0.14	0	0	0	0	0
18	Corey Andonovski	Utica Comets (NJD)	RW	9	1	0	1	0	0	0	2	3	5	1	14	20.00%	0	82	9.12	1	0	1	1	6	0	9	0	0	75.00%	16	0	0.24	0	0	0	0	0
19	Dalton Smith	Utica Comets (NJD)	LW	1	0	0	0	2	0	0	2	0	2	1	2	0%	0	20	20.78	0	0	0	0	0	1	2	0	0	0%	0	0	0	0	0	0	0	0
20	Guillaume Brisebois	Utica Comets (NJD)	D	1	0	0	0	2	0	0	2	0	0	0	0	0%	0	15	15.37	0	0	0	0	0	0	1	0	0	0%	0	0	0	0	0	0	0	0
Team Total or Average				161	40	75	115	141	90	10	190	116	352	96	246	11.36%	25	2682	16.66	6	12	18	62	200	4	214	9	1	76.04%	530	1	0.86	1	1	8	8	9

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	PCT	GAA	MP	SO	GA	SA	PS %	ST	BG	S1
1	Adam Scheel	Utica Comets (NJD)	9	8	1	0.937	0.89	539	5	8	127	0	9	1	1
2	Matej Machovsky	Utica Comets (NJD)	1	1	0	0.875	1.00	60	0	1	8	0	1	9	0
Team Total or Average			10	9	1	0.933	0.90	599	5	9	135		10	10	1

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	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	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
Adam Scheel	Utica Comets (NJD)	G	25	1999-05-01	USA	No	192 Lbs	6 ft3	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	815,335$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Anthony Angello	Utica Comets (NJD)	RW	28	1996-03-06	USA	No	210 Lbs	6 ft5	No	No	N/A		No	No	2	2024-05-19	False	False	Pro & Farm	775,000$	683,119$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Brian Pinho	Utica Comets (NJD)	C	29	1995-05-11	USA	No	190 Lbs	6 ft1	No	No	N/A		No	No	1	2024-05-19	False	False	Pro & Farm	775,000$	683,119$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Cameron Gaunce	Utica Comets (NJD)	D	34	1990-03-19	CAN	No	194 Lbs	6 ft1	Yes	No	Assign Manually		No	No	4	2024-08-21	False	False	Pro & Farm	1,999,999$	1,762,886$	0$	0$	No	1,999,999$	1,999,999$	1,999,999$	-	-	-	-	-	-	600,000$	600,000$	600,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Corey Andonovski	Utica Comets (NJD)	RW	25	1999-03-26	CAN	Yes	195 Lbs	6 ft1	No	No	Assign Manually		No	No	1	2024-08-20	False	False	Pro & Farm	925,000$	815,335$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dalton Smith	Utica Comets (NJD)	LW	33	1991-09-14	CAN	Yes	206 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2024-08-20	False	False	Pro & Farm	775,000$	683,119$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dan Renouf	Utica Comets (NJD)	D	30	1994-06-01	CAN	No	198 Lbs	6 ft1	Yes	No	Assign Manually		No	No	4	2024-08-21	False	False	Pro & Farm	1,999,999$	1,762,886$	0$	0$	No	1,999,999$	1,999,999$	1,999,999$	-	-	-	-	-	-	600,000$	600,000$	600,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Dillon Heatherington	Utica Comets (NJD)	D	29	1995-05-09	CAN	No	215 Lbs	6 ft4	Yes	No	Assign Manually		No	No	1	2024-08-21	False	False	Pro & Farm	1,999,999$	1,762,886$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Guillaume Brisebois	Utica Comets (NJD)	D	27	1997-07-21	CAN	Yes	175 Lbs	6 ft2	No	No	N/A		No	No	2	2024-05-19	False	False	Pro & Farm	775,000$	683,119$	0$	0$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Hudson Fasching	Utica Comets (NJD)	RW	29	1995-07-28	USA	No	209 Lbs	6 ft3	Yes	No	Assign Manually		No	No	3	2024-08-21	False	False	Pro & Farm	995,000$	877,036$	0$	0$	No	995,000$	995,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
James Malatesta	Utica Comets (NJD)	LW	21	2003-05-31	CAN	Yes	191 Lbs	5 ft9	No	No	Assign Manually		No	No	3	2024-08-20	False	False	Pro & Farm	862,500$	760,245$	0$	0$	No	862,500$	862,500$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jonah Gadjovich	Utica Comets (NJD)	LW/RW	25	1998-12-10	CAN	Yes	209 Lbs	6 ft2	No	No	N/A		No	No	1		False	False	Pro & Farm	832,500$	733,802$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Kevin Connauton	Utica Comets (NJD)	D	34	1990-02-23	CAN	No	205 Lbs	6 ft2	Yes	No	Assign Manually		No	No	4	2024-08-21	False	False	Pro & Farm	1,999,999$	1,762,886$	0$	0$	No	1,999,999$	1,999,999$	1,999,999$	-	-	-	-	-	-	600,000$	600,000$	600,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Logan Shaw	Utica Comets (NJD)	C/RW	31	1992-10-05	CAN	No	208 Lbs	6 ft3	No	No	N/A		No	No	3		False	False	Pro & Farm	1,999,999$	1,762,886$	0$	0$	No	1,999,999$	1,999,999$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Mark Friedman	Utica Comets (NJD)	D	28	1995-12-25	CAN	No	185 Lbs	5 ft11	Yes	No	Assign Manually		No	No	3	2024-08-21	False	False	Pro & Farm	1,999,999$	1,762,886$	0$	0$	No	1,999,999$	1,999,999$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Mark Pysyk	Utica Comets (NJD)	D	32	1992-01-11	CAN	No	198 Lbs	6 ft1	Yes	No	Assign Manually	2024-02-19	No	No	1	2024-08-21	False	False	Pro & Farm	975,000$	859,407$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matej Machovsky	Utica Comets (NJD)	G	31	1993-07-25	CZE	No	187 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2024-09-23	False	False	Pro & Farm	700,000$	617,010$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Matthew Knies	Utica Comets (NJD)	LW	21	2002-10-17	USA	Yes	217 Lbs	6 ft3	No	No	Assign Manually		No	No	2	2024-08-20	False	False	Pro & Farm	925,000$	815,335$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nikolas Brouillard	Utica Comets (NJD)	D	29	1995-02-07	CAN	No	168 Lbs	5 ft10	No	No	N/A		No	No	1		False	False	Pro & Farm	925,000$	815,335$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ryder Rolston	Utica Comets (NJD)	RW	22	2001-10-31	USA	Yes	175 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2024-08-20	False	False	Pro & Farm	867,500$	764,652$	0$	0$	No	867,500$	-	-	-	-	-	-	-	-	600,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Spencer Smallman	Utica Comets (NJD)	RW	28	1996-09-09	CAN	No	198 Lbs	6 ft1	No	No	N/A		No	No	3		False	False	Pro & Farm	975,000$	859,407$	0$	0$	No	975,000$	975,000$	-	-	-	-	-	-	-	600,000$	600,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Stefan Noesen	Utica Comets (NJD)	RW	31	1993-02-12	USA	No	205 Lbs	6 ft1	No	No	N/A		No	No	1		False	False	Pro & Farm	999,999$	881,442$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	28.27	197 Lbs	6 ft2	2.05	1,182,159$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonah Gadjovich	Logan Shaw	Stefan Noesen	38	1	2	2
2	James Malatesta	Brian Pinho	Hudson Fasching	30	1	2	2
3	Matthew Knies	Dalton Smith	Corey Andonovski	22	1	2	2
4	Ryder Rolston	Spencer Smallman	Anthony Angello	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Connauton	Mark Pysyk	38	1	2	2
2	Nikolas Brouillard	Mark Friedman	30	1	2	2
3	Dillon Heatherington	Guillaume Brisebois	22	1	2	2
4	Mark Friedman	Nikolas Brouillard	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jonah Gadjovich	Logan Shaw	Hudson Fasching	60	1	2	2
2	Dalton Smith	Brian Pinho	Hudson Fasching	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Connauton	Mark Pysyk	60	1	2	2
2	Nikolas Brouillard	Mark Friedman	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Logan Shaw	Jonah Gadjovich	60	1	2	2
2	Brian Pinho	Dalton Smith	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Connauton	Nikolas Brouillard	60	1	2	2
2	Dillon Heatherington	Guillaume Brisebois	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Logan Shaw	60	1	2	2	Kevin Connauton	Nikolas Brouillard	60	1	2	2
2	Brian Pinho	40	1	2	2	Dillon Heatherington	Mark Friedman	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Logan Shaw	Jonah Gadjovich	60	1	2	2
2	Brian Pinho	Dalton Smith	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Kevin Connauton	Mark Pysyk	60	1	2	2
2	Nikolas Brouillard	Mark Friedman	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jonah Gadjovich	Logan Shaw	Hudson Fasching	Kevin Connauton	Mark Friedman

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jonah Gadjovich	Logan Shaw	Hudson Fasching	Kevin Connauton	Mark Friedman

Extra Forwards
Normal	PowerPlay	Penalty Kill
Corey Andonovski, Ryder Rolston, Dalton Smith	Corey Andonovski, Ryder Rolston	Corey Andonovski

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Guillaume Brisebois, Mark Friedman, Nikolas Brouillard	Guillaume Brisebois	Guillaume Brisebois, Mark Friedman

Penalty Shots
Jonah Gadjovich, Logan Shaw, Stefan Noesen, Hudson Fasching, Spencer Smallman

Goalie
#1 : Matej Machovsky, #2 : Adam Scheel

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

Custom OT Lines Defensemen
, , , ,

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	Bridgeport Islanders	2	2	0	0	0	0	0	0	12	1	11	1	1	0	0	0	0	0	0	7	0	7	1	1	0	0	0	0	0	0	5	1	4	4	1.000	12	23	35	0	1	25	11	4	0	91	141	101	110	0	19	5	33	35	3	0	0.00%	9	1	88.89%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
2	Chicago Wolves	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	25	11	4	0	17	141	101	110	0	23	5	10	21	3	1	33.33%	4	0	100.00%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
3	Cleveland Monsters	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	6	9	0	0	25	11	4	0	22	141	101	110	0	19	2	13	8	0	0	0%	4	1	75.00%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
4	Hartford Wolf Pack	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	0	4	2	1.000	4	7	11	0	1	25	11	4	0	27	141	101	110	0	12	4	6	27	0	0	0%	3	0	100.00%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
5	Manitoba Moose	1	1	0	0	0	0	0	0	6	0	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	0	6	2	1.000	6	11	17	0	1	25	11	4	0	40	141	101	110	0	6	1	6	21	1	1	100.00%	3	0	100.00%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
6	Milwaukee Admirals	1	1	0	0	0	0	0	0	6	0	6	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	0	6	2	1.000	6	11	17	0	1	25	11	4	0	45	141	101	110	0	7	0	2	20	4	1	25.00%	1	0	100.00%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
7	Providence Bruins	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	25	11	4	0	39	141	101	110	0	11	1	8	29	3	0	0.00%	4	1	75.00%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
8	Wilkes-Barre/Scranton Penguins	2	2	0	0	0	0	0	0	5	2	3	2	2	0	0	0	0	0	0	5	2	3	0	0	0	0	0	0	0	0	0	0	0	4	1.000	5	10	15	0	1	25	11	4	0	71	141	101	110	0	38	7	12	29	10	3	30.00%	6	0	100.00%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
	Total	10	9	1	0	0	0	0	0	40	9	31	4	4	0	0	0	0	0	0	15	4	11	6	5	1	0	0	0	0	0	25	5	20	18	0.900	40	75	115	0	5	25	11	4	0	352	141	101	110	0	135	25	90	190	24	6	25.00%	34	3	91.18%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
	_Since Last GM Reset	10	9	1	0	0	0	0	0	40	9	31	4	4	0	0	0	0	0	0	15	4	11	6	5	1	0	0	0	0	0	25	5	20	18	0.900	40	75	115	0	5	25	11	4	0	352	141	101	110	0	135	25	90	190	24	6	25.00%	34	3	91.18%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
	_Vs Conference	8	7	1	0	0	0	0	0	31	7	24	3	3	0	0	0	0	0	0	12	2	10	5	4	1	0	0	0	0	0	19	5	14	14	0.875	31	58	89	0	4	25	11	4	0	285	141	101	110	0	109	23	75	162	20	5	25.00%	29	2	93.10%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62
	_Vs Division	1	5	0	0	0	0	0	0	3	2	1	0	3	0	0	0	0	0	0	0	0	0	1	2	0	0	0	0	0	0	3	2	1	10	5.000	3	5	8	0	0	25	11	4	0	39	141	101	110	0	11	1	8	29	3	0	0.00%	4	1	75.00%	0	186	240	77.50%	124	178	69.66%	98	126	77.78%	375	306	124	42	99	62

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
10	18	W6	40	75	115	352	135	25	90	190	0	5

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
10	9	1	0	0	0	0	40	9

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	4	0	0	0	0	0	15	4

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	5	1	0	0	0	0	25	5

Last 10 Games
W	L	OTW	OTL	SOW	SOL
9	1	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
24	6	25.00%	34	3	91.18%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
141	101	110	0	25	11	4	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
186	240	77.50%	124	178	69.66%	98	126	77.78%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
375	306	124	42	99	62

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	Link
1	2	Wilkes-Barre/Scranton Penguins	2	Utica Comets	3	W	BoxScore
5	15	Utica Comets	4	Hartford Wolf Pack	0	W	BoxScore
6	26	Utica Comets	5	Bridgeport Islanders	1	W	BoxScore
9	43	Utica Comets	1	Chicago Wolves	2	L	BoxScore
11	59	Cleveland Monsters	2	Utica Comets	3	W	BoxScore
13	73	Utica Comets	6	Manitoba Moose	0	W	BoxScore
15	90	Wilkes-Barre/Scranton Penguins	0	Utica Comets	2	W	BoxScore
17	107	Utica Comets	6	Milwaukee Admirals	0	W	BoxScore
20	120	Utica Comets	3	Providence Bruins	2	W	BoxScore
21	126	Bridgeport Islanders	0	Utica Comets	7	W	BoxScore
24	152	LeHigh Valley Phantoms	-	Utica Comets	-
28	179	Providence Bruins	-	Utica Comets	-
30	201	Wilkes-Barre/Scranton Penguins	-	Utica Comets	-
31	208	Utica Comets	-	Toronto Marlies	-
34	226	Utica Comets	-	Hartford Wolf Pack	-
37	243	Toronto Marlies	-	Utica Comets	-
40	267	Calgary Wranglers	-	Utica Comets	-
42	290	Utica Comets	-	Ontario Reign	-
43	300	Ontario Reign	-	Utica Comets	-
46	322	Utica Comets	-	Milwaukee Admirals	-
47	333	Syracuse Crunch	-	Utica Comets	-
50	355	Utica Comets	-	San Jose Barracuda	-
52	363	Utica Comets	-	Belleville Senators	-
55	374	Texas Stars	-	Utica Comets	-
59	397	Charlotte Checkers	-	Utica Comets	-
61	411	Utica Comets	-	Charlotte Checkers	-
63	427	Bakersfield Condors	-	Utica Comets	-
65	442	Utica Comets	-	Tucson Roadrunners	-
68	460	Henderson Silver Knights	-	Utica Comets	-
72	486	Utica Comets	-	Laval Rocket	-
73	496	Belleville Senators	-	Utica Comets	-
76	511	Utica Comets	-	LeHigh Valley Phantoms	-
78	527	Laval Rocket	-	Utica Comets	-
86	555	Syracuse Crunch	-	Utica Comets	-
89	574	Utica Comets	-	Hershey Bears	-
90	587	Chicago Wolves	-	Utica Comets	-
92	604	Utica Comets	-	Manitoba Moose	-
94	617	Hershey Bears	-	Utica Comets	-
98	643	Grand Rapids Griffins	-	Utica Comets	-
100	661	Utica Comets	-	Providence Bruins	-
102	675	Coachella Valley Firebirds	-	Utica Comets	-
103	691	Utica Comets	-	Chicago Wolves	-
105	705	Wilkes-Barre/Scranton Penguins	-	Utica Comets	-
108	721	Utica Comets	-	Texas Stars	-
109	737	Rockford IceHogs	-	Utica Comets	-
112	756	Utica Comets	-	Rochester Americans	-
114	770	Bridgeport Islanders	-	Utica Comets	-
116	789	Utica Comets	-	Syracuse Crunch	-
118	801	Utica Comets	-	Colorado Eagles	-
119	808	Utica Comets	-	Iowa Wild	-
121	815	Abbotsford Canucks	-	Utica Comets	-
126	841	San Diego Gulls	-	Utica Comets	-
127	858	Utica Comets	-	Bridgeport Islanders	-
129	872	Rochester Americans	-	Utica Comets	-
145	895	Utica Comets	-	LeHigh Valley Phantoms	-
146	907	LeHigh Valley Phantoms	-	Utica Comets	-
149	922	Utica Comets	-	Wilkes-Barre/Scranton Penguins	-
150	937	Utica Comets	-	Springfield Thunderbirds	-
152	950	Manitoba Moose	-	Utica Comets	-
154	963	Utica Comets	-	Hartford Wolf Pack	-
156	973	Milwaukee Admirals	-	Utica Comets	-
157	980	Utica Comets	-	Wilkes-Barre/Scranton Penguins	-
Trade Deadline --- Trades can’t be done after this day is simulated!
162	1001	San Diego Gulls	-	Utica Comets	-
163	1010	Utica Comets	-	Rochester Americans	-
168	1026	Utica Comets	-	Grand Rapids Griffins	-
170	1039	Utica Comets	-	Chicago Wolves	-
171	1041	Utica Comets	-	Bridgeport Islanders	-
173	1056	Providence Bruins	-	Utica Comets	-
175	1076	Utica Comets	-	Toronto Marlies	-
177	1087	Cleveland Monsters	-	Utica Comets	-
184	1117	Hartford Wolf Pack	-	Utica Comets	-
193	1149	Hartford Wolf Pack	-	Utica Comets	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	25
Attendance	4,578	2,319
Attendance PCT	57.23%	57.98%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
32	1724 - 57.48%	84,628$	338,512$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
303,178$	2,600,750$	1,392,702$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
13,406$	303,178$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
2,708,096$	171	13,406$	2,292,426$

Utica Comets 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

Utica Comets 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

Utica Comets 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

Utica Comets 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

Utica Comets 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

	Utica Comets
	GP: 10 \| W: 9 \| L: 1 \| OTL: 0 \| P: 18 GF: 40 \| GA: 9 \| PP%: 25.00% \| PK%: 91.18% GM : Jonathan Brock et Marc-Andre Marinier \| Morale : 50 \| Team Overall : N/A Next Games #152 vs LeHigh Valley Phantoms