New York Rangers
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance

Game Center
	Lehigh Valley Phantoms 5-7-2, 12pts	5	FINAL	6	Hartford Wolf Pack 9-5-0, 18pts

Team Stats
L1	Streak	L1
2-5-0	Home Record	6-1-0
3-2-2	Home Record	3-4-0
4-5-1	Last 10 Games	7-3-0
3.64	Goals Per Game	4.57
4.21	Goals Against Per Game	4.36
22.41%	Power Play Percentage	29.41%
75.00%	Penalty Kill Percentage	72.55%

Hartford Wolf Pack
9-5-0, 18pts

FINAL

Bridgeport Islanders
9-5-0, 18pts

Team Stats
L1	Streak	W2
6-1-0	Home Record	6-1-0
3-4-0	Home Record	3-4-0
7-3-0	Last 10 Games	6-4-0
4.57	Goals Per Game	4.36
4.36	Goals Against Per Game	3.64
29.41%	Power Play Percentage	27.27%
72.55%	Penalty Kill Percentage	75.68%

Team Leaders
	Goals Riley Nash 8	Assists Connor MacKey 14

	Points Riley Nash 20	Plus/Minus Zac Jones 11

	Wins Louis Domingue 8	Save Percentage Talyn Boyko 0.911

Team Stats
Goals For 64 4.57 GFG	Shots For 595 42.50 Avg	Power Play Percentage 29.4% 15 GF	Offensive Zone Start 42.4%
Goals Against 61 4.36 GAA	Shots Against 575 41.07 Avg	Penalty Kill Percentage 72.5%% 14 GA	Defensive Zone Start 39.6%

Team Info
	General Manager	Stefan
	Coach	Kris Knoblauch
	Division	Atlantic Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,818
	Season Tickets	0
Roster Info
	Pro Team	31
	Farm Team	18
	Contract Limit	49 / 70
	Prospects	16

Show or Hide Columns

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Alex Belzile	0		X	X		100.00	61	60	73	63	69	61	59	60	64	63	61	66	54	66	61	0	47	63	0	33	1	775,000$
2	Riley Nash	0	X				100.00	60	51	73	63	64	66	69	62	63	63	61	65	58	75	64	0	50	63	0	35	1	775,000$
3	Anton Blidh	0		X	X		100.00	66	51	72	60	69	63	62	58	53	62	58	65	54	62	59	0	50	62	0	29	1	775,000$
4	Jonny Brodzinski	0	X				100.00	56	54	68	62	71	62	61	60	59	61	60	64	58	67	60	0	50	62	0	31	1	775,000$
5	Jake Leschyshyn	0	X				100.00	68	44	83	61	74	59	63	55	73	64	57	64	54	56	57	0	50	61	0	25	1	775,000$
6	Turner Elson	0	X				100.00	55	58	65	60	63	68	66	61	55	59	60	62	55	70	62	0	50	61	0	32	1	775,000$
7	Bryce McConnell-Barker (R)	0	X				100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	53	60	0	20	1	775,000$
8	Will Cuylle	0		X	X		100.00	55	57	62	60	65	63	62	59	55	57	60	60	58	54	53	0	50	59	0	22	4	800,000$
9	Bobby Trivigno	0	X				100.00	55	54	67	58	53	62	61	57	55	57	56	62	54	58	55	0	50	58	0	25	1	775,000$
10	Tristan Mullin	0	X	X	X		100.00	55	55	67	55	65	59	58	55	55	55	55	61	54	63	58	0	50	57	0	28	1	775,000$
11	Connor MacKey	0				X	100.00	67	73	72	69	72	68	62	58	40	67	59	73	54	57	58	0	50	65	0	28	1	1,850,000$
12	Ben Harpur	0				X	100.00	67	71	80	58	85	66	64	55	40	66	56	75	54	61	58	0	50	64	0	29	1	775,000$
13	Zac Jones	0				X	100.00	56	53	69	61	60	65	61	58	40	60	57	65	55	56	54	0	50	60	0	24	3	1,100,000$
14	Brandon Scanlin	0				X	100.00	55	55	67	57	70	63	62	55	40	55	55	64	54	58	55	0	50	59	0	25	1	775,000$
15	Mac Hollowell	0				X	100.00	57	53	68	58	60	61	58	57	40	61	54	63	54	59	56	0	50	59	0	26	1	775,000$
16	Matthew Robertson	0				X	100.00	55	56	65	60	67	65	63	57	40	57	55	60	54	55	53	0	50	59	0	23	1	775,000$
17	Nikolas Brouillard	0				X	100.00	57	55	59	61	52	67	67	60	40	59	57	57	54	65	59	0	50	59	0	29	1	775,000$
18	Blake Hillman	0				X	100.00	55	54	67	56	63	60	59	55	40	55	54	61	54	63	58	0	50	57	0	28	1	775,000$
Scratches
1	Karl Henriksson	0	X				100.00	51	52	64	54	54	65	62	54	52	53	54	58	51	52	50	0	26	55	0	23	1	775,000$
2	Matt Rempe	0	X				100.00	54	51	59	53	74	61	60	53	52	52	53	57	51	51	49	0	26	55	0	22	1	775,000$
3	Adam Edstrom	0	X				100.00	51	51	65	51	71	51	51	51	52	51	51	57	51	54	51	0	26	53	0	24	1	775,000$
4	Adam Sykora	0	X				100.00	51	51	65	51	54	51	51	51	52	51	51	57	51	48	48	0	26	52	0	20	1	775,000$
5	Brett Berard	0	X				100.00	51	51	65	51	52	51	51	51	52	51	51	57	51	51	49	0	26	52	0	22	1	775,000$
6	Ryder Korczak	0	X				100.00	51	51	65	52	55	52	52	51	67	51	51	56	51	51	49	0	26	52	0	22	1	775,000$
7	Zach Berzolla	0				X	100.00	55	54	68	54	65	55	55	54	40	54	54	61	54	60	56	0	26	56	0	26	1	775,000$
8	Grant Gabriele	0				X	100.00	51	51	65	51	62	51	51	51	38	51	51	59	51	58	53	0	26	53	0	27	1	775,000$
9	Matthew Cairns	0				X	100.00	51	51	65	51	64	51	51	51	38	51	51	59	51	56	52	0	26	53	0	26	1	775,000$

	TEAM AVERAGE						100.00	57	55	67	57	64	60	59	56	50	57	56	62	54	59	55	0	42	58

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 Average
1	Louis Domingue	0	100.00	61	65	65	69	67	61	67	64	59	60	61	73	63	0	34	64	0	32	1	775,000$
2	Talyn Boyko	0	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	0	54	60	0	22	1	775,000$
Scratches
1	Dylan Garand	0	100.00	58	60	60	60	63	59	63	60	56	58	59	53	51	0	33	59	0	22	1	775,000$
2	Olof Lindbom	0	100.00	51	51	51	64	61	51	61	51	52	52	62	53	50	0	33	54	0	24	1	775,000$

	TEAM AVERAGE		100.00	58	59	59	63	63	58	63	59	57	58	61	60	56	0	39	59

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kris Knoblauch	66	66	69	70	66	62	83	CAN	43	7	500,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	HT	P/20	PSG	PSS	FW	FT	S1	S2	S3
1	Riley Nash	Hartford Wolf Pack (NYR)	C	14	8	12	20	-1	2	0	17	46	53	12	34	15.09%	2	322	23.05	2	4	6	9	40	2	1	3	3	42	2	0	51.45%	379	0	1.24	0	1	0	0	1	0	1
2	Alex Belzile	Hartford Wolf Pack (NYR)	LW/RW	14	6	11	17	-1	23	5	20	37	55	10	38	10.91%	7	300	21.49	2	3	5	12	39	1	0	1	2	36	0	1	47.87%	94	0	1.13	0	1	0	1	0	1	1
3	Connor MacKey	Hartford Wolf Pack (NYR)	D	14	3	14	17	1	10	0	35	31	42	10	29	7.14%	25	295	21.14	3	4	7	29	43	0	2	2	0	37	0	1	0%	0	0	1.15	0	0	0	0	0	1	1
4	Zac Jones	Hartford Wolf Pack (NYR)	D	14	6	10	16	11	6	0	23	15	43	13	18	13.95%	30	282	20.19	4	2	6	27	41	0	0	0	1	39	0	0	0%	0	0	1.13	0	0	0	0	2	0	0
5	Ben Harpur	Hartford Wolf Pack (NYR)	D	14	6	8	14	0	6	0	20	19	34	10	22	17.65%	35	297	21.27	2	3	5	19	43	0	2	2	0	39	0	0	0%	0	0	0.94	0	0	0	0	0	0	1
6	Turner Elson	Hartford Wolf Pack (NYR)	C	14	7	6	13	4	8	0	15	35	52	15	31	13.46%	3	214	15.32	0	0	0	0	3	0	0	0	0	0	1	0	50.73%	274	1	1.21	1	1	0	0	1	0	1
7	Jonny Brodzinski	Hartford Wolf Pack (NYR)	C	14	5	7	12	-2	6	0	27	49	47	17	42	10.64%	3	303	21.71	0	4	4	11	42	0	0	0	0	36	1	0	46.63%	489	0	0.79	0	1	0	0	1	1	1
8	Anton Blidh	Hartford Wolf Pack (NYR)	LW/RW	14	3	8	11	-2	2	0	30	21	35	8	28	8.57%	7	287	20.51	0	3	3	8	41	0	0	0	0	38	1	0	36.00%	25	0	0.77	0	1	0	0	0	0	0
9	Bryce McConnell-Barker	Hartford Wolf Pack (NYR)	C	14	5	6	11	2	7	5	30	17	31	13	20	16.13%	2	214	15.35	0	0	0	0	0	0	0	0	0	10	0	0	55.56%	27	0	1.02	0	0	1	0	1	0	1
10	Jake Leschyshyn	Hartford Wolf Pack (NYR)	C	14	5	5	10	1	8	0	25	22	42	9	18	11.90%	8	239	17.12	0	0	0	0	0	0	0	0	0	2	1	0	56.52%	69	0	0.83	0	0	0	0	0	2	0
11	Will Cuylle	Hartford Wolf Pack (NYR)	LW/RW	14	5	5	10	-2	2	0	35	19	51	14	37	9.80%	4	265	18.93	2	1	3	13	42	0	0	0	0	0	1	0	72.73%	22	0	0.75	0	0	0	0	0	3	0
12	Nikolas Brouillard	Hartford Wolf Pack (NYR)	D	14	0	7	7	-4	10	0	20	17	15	6	9	0%	15	173	12.41	0	0	0	1	3	0	0	0	0	0	0	0	0%	0	0	0.81	0	0	0	0	0	0	0
13	Tristan Mullin	Hartford Wolf Pack (NYR)	C/LW/RW	14	0	7	7	-2	4	0	28	12	39	13	26	0%	1	266	19.07	0	4	4	10	42	0	0	0	0	2	0	0	47.37%	19	0	0.52	0	0	0	0	0	0	1
14	Brandon Scanlin	Hartford Wolf Pack (NYR)	D	14	2	3	5	-4	10	0	17	8	9	1	7	22.22%	15	183	13.10	0	0	0	0	1	0	0	0	0	10	1	0	0%	0	0	0.55	0	0	0	0	0	0	0
15	Matthew Robertson	Hartford Wolf Pack (NYR)	D	14	1	4	5	10	6	0	23	15	25	10	16	4.00%	27	279	19.96	0	1	1	16	41	0	0	0	0	37	0	0	0%	0	0	0.36	0	0	0	0	0	0	0
16	Blake Hillman	Hartford Wolf Pack (NYR)	D	14	0	2	2	-7	6	0	7	2	8	3	3	0%	8	91	6.55	0	0	0	2	3	0	0	0	0	1	0	0	0%	0	0	0.44	0	0	0	0	0	0	0
17	Mac Hollowell	Hartford Wolf Pack (NYR)	D	14	1	1	2	-7	4	0	7	7	7	3	4	14.29%	7	90	6.49	0	0	0	0	0	0	0	0	0	5	0	0	0%	0	0	0.44	0	0	0	0	0	0	0
18	Bobby Trivigno	Hartford Wolf Pack (NYR)	C	14	0	1	1	1	2	0	4	1	7	1	2	0%	0	26	1.93	0	0	0	3	5	0	0	0	0	0	0	0	20.00%	5	0	0.74	0	0	0	0	0	0	0
Team Total or Average				252	63	117	180	-2	122	10	383	373	595	168	384	10.59%	199	4138	16.42	15	29	44	160	436	3	5	8	6	338	8	2	49.61%	1403	1	0.87	1	5	1	1	6	8	8

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	PIM	SO	GA	SA	EG	PS %	PSA	ST	BG	S1	S3
1	Louis Domingue	Hartford Wolf Pack (NYR)	14	8	4	0.893	4.46	699	2	1	52	484	1	1.000	5	14	0	2	1
2	Talyn Boyko	Hartford Wolf Pack (NYR)	4	1	1	0.911	3.24	148	0	0	8	90	0	0	0	0	14	0	0
Team Total or Average			18	9	5	0.895	4.25	848	2	1	60	574	1		5	14	14	2	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	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Force UFA	Emergency Recall	Type	Current Salary	Salary Average	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	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 Edstrom	Hartford Wolf Pack (NYR)	C	24	12.10.2000	No	102 Kg	203 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Adam Sykora	Hartford Wolf Pack (NYR)	C	20	07.09.2004	No	78 Kg	178 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Alex Belzile	Hartford Wolf Pack (NYR)	LW/RW	33	31.08.1991	No	89 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Anton Blidh	Hartford Wolf Pack (NYR)	LW/RW	29	14.03.1995	No	90 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ben Harpur	Hartford Wolf Pack (NYR)	D	29	12.01.1995	No	105 Kg	198 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Blake Hillman	Hartford Wolf Pack (NYR)	D	28	26.01.1996	No	88 Kg	185 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Bobby Trivigno	Hartford Wolf Pack (NYR)	C	25	19.01.1999	No	73 Kg	173 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Brandon Scanlin	Hartford Wolf Pack (NYR)	D	25	02.06.1999	No	97 Kg	193 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Brett Berard	Hartford Wolf Pack (NYR)	C	22	09.09.2002	No	75 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Bryce McConnell-Barker	Hartford Wolf Pack (NYR)	C	20	04.06.2004	Yes	88 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Connor MacKey	Hartford Wolf Pack (NYR)	D	28	12.09.1996	No	90 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	1,850,000$	1,850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dylan Garand	Hartford Wolf Pack (NYR)	G	22	07.06.2002	No	78 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Grant Gabriele	Hartford Wolf Pack (NYR)	D	27	17.04.1997	No	89 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jake Leschyshyn	Hartford Wolf Pack (NYR)	C	25	10.03.1999	No	89 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jonny Brodzinski	Hartford Wolf Pack (NYR)	C	31	19.06.1993	No	96 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Karl Henriksson	Hartford Wolf Pack (NYR)	C	23	05.02.2001	No	80 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Louis Domingue	Hartford Wolf Pack (NYR)	G	32	06.03.1992	No	94 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mac Hollowell	Hartford Wolf Pack (NYR)	D	26	26.09.1998	No	77 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matt Rempe	Hartford Wolf Pack (NYR)	C	22	29.06.2002	No	109 Kg	203 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matthew Cairns	Hartford Wolf Pack (NYR)	D	26	27.04.1998	No	92 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matthew Robertson	Hartford Wolf Pack (NYR)	D	23	09.03.2001	No	91 Kg	193 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Nikolas Brouillard	Hartford Wolf Pack (NYR)	D	29	07.02.1995	No	68 Kg	178 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Olof Lindbom	Hartford Wolf Pack (NYR)	G	24	23.07.2000	No	83 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Riley Nash	Hartford Wolf Pack (NYR)	C	35	09.05.1989	No	85 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Ryder Korczak	Hartford Wolf Pack (NYR)	C	22	23.09.2002	No	78 Kg	180 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Talyn Boyko	Hartford Wolf Pack (NYR)	G	22	16.10.2002	No	91 Kg	203 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tristan Mullin	Hartford Wolf Pack (NYR)	C/LW/RW	28	09.10.1996	No	89 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Turner Elson	Hartford Wolf Pack (NYR)	C	32	13.09.1992	No	87 Kg	183 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Will Cuylle	Hartford Wolf Pack (NYR)	LW/RW	22	05.02.2002	No	96 Kg	191 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	800,000$	800,000$	0$	0$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Zac Jones	Hartford Wolf Pack (NYR)	D	24	18.10.2000	No	81 Kg	178 CM	No	No	N/A	No	No	3	False	False	Pro & Farm	1,100,000$	1,100,000$	0$	0$	No	1,100,000$	1,100,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Zach Berzolla	Hartford Wolf Pack (NYR)	D	26	28.05.1998	No	89 Kg	188 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
31	25.94	88 Kg	185 CM	1.16	820,968$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex Belzile	Riley Nash	Anton Blidh	33	1	2	2
2	Will Cuylle	Jonny Brodzinski	Tristan Mullin	30	1	2	2
3	Jake Leschyshyn	Turner Elson	Bryce McConnell-Barker	25	1	2	2
4	Alex Belzile	Jake Leschyshyn	Riley Nash	12	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor MacKey	Ben Harpur	33	1	2	2
2	Zac Jones	Matthew Robertson	30	1	2	2
3	Nikolas Brouillard	Brandon Scanlin	25	1	2	2
4	Mac Hollowell	Blake Hillman	12	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Alex Belzile	Riley Nash	Anton Blidh	50	1	2	2
2	Will Cuylle	Jonny Brodzinski	Tristan Mullin	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor MacKey	Ben Harpur	50	1	2	2
2	Zac Jones	Matthew Robertson	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Alex Belzile	Riley Nash	50	1	2	2
2	Jonny Brodzinski	Anton Blidh	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor MacKey	Ben Harpur	50	1	2	2
2	Zac Jones	Matthew Robertson	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Alex Belzile	50	1	2	2	Connor MacKey	Ben Harpur	50	1	2	2
2	Riley Nash	50	1	2	2	Zac Jones	Matthew Robertson	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Alex Belzile	Riley Nash	50	1	2	2
2	Jonny Brodzinski	Anton Blidh	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Connor MacKey	Ben Harpur	50	1	2	2
2	Zac Jones	Matthew Robertson	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Belzile	Riley Nash	Anton Blidh	Connor MacKey	Ben Harpur

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Belzile	Riley Nash	Anton Blidh	Connor MacKey	Ben Harpur

Extra Forwards
Normal	PowerPlay	Penalty Kill
Bobby Trivigno, Turner Elson, Bryce McConnell-Barker	Bobby Trivigno, Turner Elson	Bryce McConnell-Barker

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Nikolas Brouillard, Brandon Scanlin, Mac Hollowell	Nikolas Brouillard	Brandon Scanlin, Mac Hollowell

Penalty Shots
Alex Belzile, Riley Nash, Jonny Brodzinski, Anton Blidh, Turner Elson

Goalie
#1 : Louis Domingue, #2 : Talyn Boyko

Custom OT Lines Forwards
Alex Belzile, Riley Nash, Jonny Brodzinski, Anton Blidh, Turner Elson, Jake Leschyshyn, Jake Leschyshyn, Bryce McConnell-Barker, Will Cuylle, Bobby Trivigno, Tristan Mullin

Custom OT Lines Defensemen
Connor MacKey, Ben Harpur, Zac Jones, Matthew Robertson, Nikolas Brouillard

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	1	1	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	2	1	1	1	0	1	0	0	0	0	0	6	8	-2	2	0.500	8	15	23	1	0	28	19	14	3	83	203	197	190	10	93	26	8	69	6	2	33.33%	4	2	50.00%	0	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96
2	Charlotte Checkers	2	1	1	0	0	0	0	0	10	9	1	1	0	1	0	0	0	0	0	2	6	-4	1	1	0	0	0	0	0	0	8	3	5	2	0.500	10	18	28	0	0	28	19	14	3	64	203	197	190	10	68	22	19	39	6	1	16.67%	7	2	71.43%	1	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96
3	Hershey Bears	2	1	1	0	0	0	0	0	10	7	3	1	1	0	0	0	0	0	0	5	0	5	1	0	1	0	0	0	0	0	5	7	-2	2	0.500	10	18	28	0	1	28	19	14	3	83	203	197	190	10	96	48	20	45	3	2	66.67%	10	2	80.00%	0	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96
4	Lehigh Valley Phantoms	2	1	0	0	0	0	1	0	10	7	3	1	0	0	0	0	0	1	0	6	5	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	10	17	27	0	0	28	19	14	3	71	203	197	190	10	77	27	37	54	5	1	20.00%	10	2	80.00%	0	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96
5	Providence Bruins	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	19	29	0	0	28	19	14	3	80	203	197	190	10	66	31	10	58	6	2	33.33%	5	1	80.00%	0	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96
6	Springfield Thunderbirds	2	0	1	0	1	0	0	0	7	11	-4	1	0	0	0	1	0	0	0	5	4	1	1	0	1	0	0	0	0	0	2	7	-5	2	0.500	7	13	20	0	0	28	19	14	3	99	203	197	190	10	104	22	18	64	9	1	11.11%	9	3	66.67%	1	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96
7	Wilkes-Barre/Scranton Penguins	2	0	1	0	1	0	0	0	9	12	-3	1	0	0	0	1	0	0	0	7	6	1	1	0	1	0	0	0	0	0	2	6	-4	2	0.500	9	17	26	0	0	28	19	14	3	115	203	197	190	10	71	23	12	54	16	6	37.50%	6	2	66.67%	1	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96
	Total	14	6	5	0	2	0	1	0	64	61	3	7	3	1	0	2	0	1	0	32	25	7	7	3	4	0	0	0	0	0	32	36	-4	18	0.643	64	117	181	1	1	28	19	14	3	595	203	197	190	10	575	199	124	383	51	15	29.41%	51	14	72.55%	3	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96
	_Since Last GM Reset	14	6	5	0	2	0	1	0	64	61	3	7	3	1	0	2	0	1	0	32	25	7	7	3	4	0	0	0	0	0	32	36	-4	18	0.643	64	117	181	1	1	28	19	14	3	595	203	197	190	10	575	199	124	383	51	15	29.41%	51	14	72.55%	3	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96
	_Vs Conference	14	6	5	0	2	0	1	0	64	61	3	7	3	1	0	2	0	1	0	32	25	7	7	3	4	0	0	0	0	0	32	36	-4	18	0.643	64	117	181	1	1	28	19	14	3	595	203	197	190	10	575	199	124	383	51	15	29.41%	51	14	72.55%	3	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96
	_Vs Division	8	6	5	0	2	0	1	0	37	35	2	4	3	1	0	2	0	1	0	20	12	8	4	3	4	0	0	0	0	0	17	23	-6	18	1.125	37	67	104	1	1	28	19	14	3	352	203	197	190	10	337	124	77	222	30	11	36.67%	30	8	73.33%	1	288	592	48.65%	284	553	51.36%	124	250	49.60%	333	220	321	108	194	96

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
14	18	L1	64	117	181	595	575	199	124	383	1	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	6	5	2	0	1	0	64	61

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	1	2	0	1	0	32	25

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	3	4	0	0	0	0	32	36

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	3	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
51	15	29.41%	51	14	72.55%	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
203	197	190	10	28	19	14	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
288	592	48.65%	284	553	51.36%	124	250	49.60%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
333	220	321	108	194	96

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2	12	Hartford Wolf Pack	2	Springfield Thunderbirds	7	L			BoxScore
3	23	Hartford Wolf Pack	5	Providence Bruins	3	W			BoxScore
5	34	Hershey Bears	0	Hartford Wolf Pack	5	W			BoxScore
7	55	Charlotte Checkers	6	Hartford Wolf Pack	2	L			BoxScore
9	68	Hartford Wolf Pack	2	Wilkes-Barre/Scranton Penguins	6	L			BoxScore
11	86	Hartford Wolf Pack	5	Hershey Bears	7	L			BoxScore
13	101	Springfield Thunderbirds	4	Hartford Wolf Pack	5	W	X		BoxScore
15	119	Hartford Wolf Pack	4	Lehigh Valley Phantoms	2	W			BoxScore
16	127	Providence Bruins	3	Hartford Wolf Pack	5	W			BoxScore
19	151	Bridgeport Islanders	1	Hartford Wolf Pack	2	W			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
22	169	Wilkes-Barre/Scranton Penguins	6	Hartford Wolf Pack	7	W	X		BoxScore
23	179	Hartford Wolf Pack	8	Charlotte Checkers	3	W			BoxScore
26	199	Lehigh Valley Phantoms	5	Hartford Wolf Pack	6	W	X	X	BoxScore
27	209	Hartford Wolf Pack	6	Bridgeport Islanders	8	L			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	13,079	6,647
Attendance PCT	93.42%	94.96%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2818 - 93.93%	79,639$	557,470$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,045,000$	2,545,000$	2,545,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
84,833$	2,544,990$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	101,500$	0$

Hartford Wolf Pack 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

Hartford Wolf Pack 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

Hartford Wolf Pack 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

Hartford Wolf Pack 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

Hartford Wolf Pack 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

	Hartford Wolf Pack
	GP: 14 \| W: 9 \| L: 5 \| OTL: 0 \| P: 18 GF: 64 \| GA: 61 \| PP%: 29.41% \| PK%: 72.55% GM : Stefan \| Morale : 47 \| Team Overall : 58