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

Game Center
	Hershey 45-29-8, 98pts	6	FINAL	5	Hartford 23-48-11, 57pts

Team Stats
W6	Streak	OTL1
19-18-4	Home Record	10-23-8
26-11-4	Home Record	13-25-3
7-2-1	Last 10 Games	1-7-2
3.18	Goals Per Game	2.74
2.96	Goals Against Per Game	4.18
16.32%	Power Play Percentage	14.16%
82.80%	Penalty Kill Percentage	76.03%

Hershey
45-29-8, 98pts

FINAL

Hartford
23-48-11, 57pts

Team Stats
W6	Streak	OTL1
19-18-4	Home Record	10-23-8
26-11-4	Home Record	13-25-3
7-2-1	Last 10 Games	1-7-2
3.18	Goals Per Game	2.74
2.96	Goals Against Per Game	4.18
16.32%	Power Play Percentage	14.16%
82.80%	Penalty Kill Percentage	76.03%

Team Leaders
	Goals Travis Boyd 21	Assists Juuso Riikola 38

	Points Travis Boyd 50	Plus/Minus Jakub Kindl 8

	Wins Samuel Montembeault 9	Save Percentage Samuel Montembeault 0.908

Team Stats
Goals For 225 2.74 GFG	Shots For 2782 33.93 Avg	Power Play Percentage 14.2% 47 GF	Offensive Zone Start 41.4%
Goals Against 343 4.18 GAA	Shots Against 3045 37.13 Avg	Penalty Kill Percentage 76.0%% 76 GA	Defensive Zone Start 40.2%

Team Info
	General Manager	Steve Bergeron
	Coach	Kirk Muller
	Division	Atlantique
	Conference	Conference est
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,268
	Season Tickets	300
Roster Info
	Pro Team	24
	Farm Team	18
	Contract Limit	42 / 50
	Prospects	40
Team History
	This Season	23-48-11 (57PTS)
	History	0-0-0


	Stanley Cup	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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Viktor Stalberg		X	X		100.00	61	31	94	57	77	64	91	67	52	67	67	61	75	76	61	27	50	0	0	37	2	500,000$
2	Andrew Ladd		X			100.00	82	38	58	47	79	51	76	66	73	63	70	68	80	81	77	13	50	0	0	37	2	850,000$
3	Mark Arcobello	X	X	X		100.00	62	25	88	68	71	74	92	71	87	69	69	58	85	74	71	30	50	0	0	34	3	500,000$
4	Travis Boyd	X		X		100.00	75	29	96	72	79	85	84	69	81	67	73	63	77	63	61	38	50	0	0	29	1	1,000,000$
5	Nathan Walker		X	X		100.00	77	25	89	74	75	75	80	71	70	69	70	62	1	60	57	33	50	0	0	29	1	900,000$
6	Wayne Simmonds		X	X		100.00	82	42	72	66	81	79	92	69	69	66	72	63	80	79	71	27	50	0	0	34	1	850,000$
7	Zack Smith	X	X			100.00	73	49	77	56	79	68	87	70	79	67	70	68	64	77	90	27	50	0	0	35	3	950,000$
8	Carl Soderberg	X	X	X		100.00	60	34	88	50	84	63	90	68	70	66	67	66	75	87	79	20	50	0	0	37	3	500,000$
9	Tanner Kero	X	X	X		100.00	68	29	99	74	78	73	90	69	84	65	73	65	78	61	51	41	50	0	0	30	1	800,000$
10	Jannik Hansen		X	X		100.00	63	30	97	45	75	62	87	69	74	69	68	73	77	91	90	10	50	0	0	37	3	500,000$
11	Stefan Noesen		X	X		100.00	63	28	96	71	83	77	82	71	71	66	71	64	78	59	50	46	50	0	0	30	2	1,100,000$
12	Quinton Howden	X	X			100.00	69	29	83	68	82	71	89	64	73	66	66	59	77	59	51	34	50	0	0	31	1	900,000$
13	MacKenzie Entwistle	X		X		100.00	77	30	91	83	87	77	86	74	73	74	73	64	80	44	40	57	50	0	0	23	1	600,000$
14	Casey Borer				X	100.00	75	47	54	40	75	63	94	52	33	48	52	87	78	95	86	9	50	0	0	37	1	650,000$
15	Juuso Riikola				X	100.00	70	31	85	77	87	80	81	52	51	52	49	82	77	59	50	49	50	0	0	29	2	650,000$
16	Steven Kampfer				X	100.00	68	32	77	59	76	73	90	54	50	51	52	84	63	70	58	27	50	0	0	34	2	650,000$
17	Joe Morrow				X	100.00	64	35	81	74	81	81	88	56	50	59	50	88	72	56	51	38	50	0	0	30	2	650,000$
18	Casey Nelson				X	100.00	69	32	79	72	79	78	85	51	50	49	44	88	70	63	59	39	50	0	0	30	1	500,000$
19	Michael Sauer				X	100.00	59	42	77	54	80	67	66	44	1	43	45	85	53	86	79	29	50	0	0	35	2	500,000$
Scratches
1	Sheldon Dries	X	X	X		100.00	77	46	90	76	76	74	99	63	87	63	69	62	75	60	59	39	50	0	0	29	3	500,000$
2	Jakub Kindl				X	100.00	57	32	91	53	77	67	90	48	3	43	49	84	47	68	59	28	50	0	0	35	2	650,000$

	TEAM AVERAGE					100.00	69	34	84	64	79	72	87	63	61	61	63	71	70	70	64	31	50	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	Pavel Francouz	100.00	71	83	80	73	74	82	82	83	85	81	85	73	73	24	50	0	0	33	1	850,000$
2	Anders Nilsson	100.00	60	93	81	85	76	82	81	86	86	78	81	72	72	46	50	0	0	33	3	650,000$
Scratches
1	Samuel Montembeault (R)	100.00	67	80	80	78	74	83	82	85	83	79	81	48	48	57	50	0	0	26	3	875,000$

	TEAM AVERAGE	100.00	66	85	80	79	75	82	82	85	85	79	82	64	64	42	50	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Kirk Muller	77	79	81	71	90	89	83	CAN	55	3	2,000,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FL	FT	S1	S2	S3
1	Travis Boyd	Hartford (NYR)	C/RW	82	21	29	50	-21	22	0	70	134	259	78	215	8.11%	11	1351	16.48	3	11	14	55	259	0	0	0	0	2	3	2	50.87%	1791	0	0	0.74	0	1	0	0	2	2	2
2	Nathan Walker	Hartford (NYR)	LW/RW	82	18	29	47	-8	21	5	62	68	225	76	153	8.00%	12	1166	14.22	2	10	12	48	195	0	0	0	2	35	0	0	49.55%	111	0	0	0.81	0	0	0	0	0	4	2
3	Juuso Riikola	Hartford (NYR)	D	82	8	38	46	-57	72	0	127	79	181	61	100	4.42%	140	1881	22.94	4	13	17	100	298	0	0	0	1	187	1	0	0%	0	0	0	0.49	0	0	0	0	0	0	2
4	MacKenzie Entwistle	Hartford (NYR)	C/RW	77	19	23	42	-28	14	0	70	101	255	77	189	7.45%	8	1435	18.65	5	5	10	72	270	0	0	0	2	107	1	2	44.36%	514	0	1	0.58	0	5	0	0	1	2	1
5	Steven Kampfer	Hartford (NYR)	D	82	11	24	35	-26	86	10	94	64	123	43	96	8.94%	150	1727	21.06	8	8	16	66	267	0	0	0	0	202	3	0	0%	0	0	0	0.41	0	0	0	1	1	1	2
6	Joe Morrow	Hartford (NYR)	D	60	7	27	34	-19	24	0	37	72	116	37	62	6.03%	108	1488	24.80	3	6	9	56	195	0	1	1	0	195	0	0	0%	0	0	0	0.46	0	0	0	0	1	1	1
7	Zack Smith	Hartford (NYR)	C/LW	82	14	19	33	-26	58	20	113	78	164	46	110	8.54%	21	1393	16.99	3	4	7	27	118	1	1	2	5	224	3	0	52.28%	855	1	0	0.47	0	3	2	2	1	2	1
8	Wayne Simmonds	Hartford (NYR)	LW/RW	69	17	14	31	-24	68	10	167	59	208	57	140	8.17%	13	1243	18.02	2	4	6	50	245	0	0	0	2	88	1	4	52.43%	103	0	0	0.50	1	4	1	1	2	3	2
9	Mark Arcobello	Hartford (NYR)	C/LW/RW	61	16	14	30	-19	8	0	29	79	128	42	85	12.50%	0	771	12.64	2	2	4	16	78	0	0	0	2	43	2	0	54.38%	833	0	0	0.78	0	0	0	0	2	0	1
10	Jannik Hansen	Hartford (NYR)	LW/RW	73	11	19	30	-18	8	0	31	45	104	38	94	10.58%	25	1026	14.06	1	0	1	9	60	1	0	1	4	156	1	1	50.98%	153	0	0	0.58	1	2	0	0	0	1	1
11	Carl Soderberg	Hartford (NYR)	C/LW/RW	82	7	20	27	-27	10	0	27	87	113	36	79	6.19%	14	1131	13.80	0	2	2	1	32	0	1	1	6	162	1	0	47.82%	1284	1	0	0.48	0	2	0	0	2	1	0
12	Tanner Kero	Hartford (NYR)	C/LW/RW	43	14	13	27	-22	10	0	19	42	144	26	110	9.72%	7	708	16.47	3	4	7	21	116	0	0	0	0	0	2	1	59.62%	52	0	0	0.76	0	1	0	0	1	1	0
13	Andrew Ladd	Hartford (NYR)	LW	82	11	15	26	-20	77	15	165	60	101	32	94	10.89%	22	1197	14.60	2	1	3	5	25	1	0	1	2	77	0	0	46.64%	238	0	0	0.43	2	5	0	3	0	0	4
14	Stefan Noesen	Hartford (NYR)	LW/RW	49	13	13	26	-7	2	0	14	44	149	38	108	8.72%	1	758	15.48	3	3	6	37	133	0	0	0	2	37	0	2	46.97%	66	0	0	0.69	0	0	0	0	1	0	1
15	Robby Fabbri	NYRangers	C/LW/RW	39	10	14	24	-9	14	0	48	87	117	31	106	8.55%	6	806	20.69	3	3	6	20	123	0	0	0	1	55	2	0	50.49%	1018	0	0	0.59	0	3	0	0	1	0	1
16	Casey Nelson	Hartford (NYR)	D	70	5	17	22	-12	46	0	81	68	57	19	44	8.77%	115	1173	16.76	1	0	1	6	27	0	0	0	0	87	0	1	0%	0	0	0	0.38	0	0	0	0	1	1	0
17	Casey Borer	Hartford (NYR)	D	44	3	16	19	-4	56	10	62	29	48	27	43	6.25%	54	740	16.83	1	5	6	22	107	0	0	0	1	77	0	0	0%	0	0	0	0.51	0	0	0	2	0	0	0
18	Quinton Howden	Hartford (NYR)	C/LW	81	3	10	13	-17	12	0	51	37	82	25	57	3.66%	1	624	7.71	0	0	0	0	1	0	0	0	0	1	0	0	42.52%	254	0	0	0.42	0	0	0	0	0	0	0
19	Michael Sauer	Hartford (NYR)	D	43	2	7	9	-19	14	0	27	31	34	9	23	5.88%	63	739	17.21	0	0	0	1	5	0	0	0	1	7	0	0	13.04%	23	0	0	0.24	0	0	0	0	0	0	1
20	Jakub Kindl	Hartford (NYR)	D	35	1	7	8	8	14	0	17	16	36	4	24	2.78%	42	596	17.05	0	0	0	12	82	0	0	0	1	52	0	0	0%	0	0	0	0.27	0	0	0	0	0	1	0
21	Sheldon Dries	Hartford (NYR)	C/LW/RW	32	4	2	6	-3	8	0	16	26	44	7	31	9.09%	0	216	6.78	0	0	0	0	0	0	0	0	0	0	0	0	57.04%	135	0	0	0.55	0	0	0	0	1	0	1
22	Viktor Stalberg	Hartford (NYR)	LW/RW	35	1	4	5	-3	2	0	6	14	27	10	25	3.70%	1	266	7.60	0	0	0	0	0	0	0	0	0	0	0	0	40.00%	15	0	0	0.38	0	0	0	0	0	0	0
23	Brayden Schenn	NYRangers	C/LW/RW	1	2	2	4	3	2	0	2	5	7	1	0	28.57%	0	21	21.75	0	0	0	0	1	0	0	0	0	5	0	0	45.71%	35	0	0	3.68	0	0	0	0	1	0	0
Team Total or Average				1386	218	376	594	-378	648	70	1335	1325	2722	820	1988	8.01%	814	22466	16.21	46	81	127	624	2650	3	3	6	32	1808	20	13	49.96%	7480	2	1	0.53	4	26	3	9	18	20	23

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	A	PS %	PSA	ST	BG	S1	S2	S3
1	Samuel Montembeault	Hartford (NYR)	24	9	12	3	0.908	3.17	1457	6	77	837	0	0.833	12	24	19	4	1	0
2	Anders Nilsson	Hartford (NYR)	19	8	9	2	0.907	3.46	1144	4	66	708	1	0	0	19	18	2	1	1
3	Pavel Francouz	Hartford (NYR)	18	4	11	3	0.896	3.31	1053	0	58	556	0	0.545	11	18	20	1	2	1
Team Total or Average			61	21	32	8	0.904	3.30	3656	10	201	2101	1		23	61	57	7	4	2

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Anders Nilsson	Hartford (NYR)	G	33	1990-03-19	SWE	No	233 Lbs	6 ft5	No	No	Free Agent	No	No	3	2024-10-11	False	False	Pro & Farm	650,000$	0$	0$	No	650,000$	650,000$	-	-	-	-	-	-	-	650,000$	650,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Andrew Ladd	Hartford (NYR)	LW	37	1985-12-12	CAN	No	213 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	850,000$	0$	0$	No	850,000$	-	-	-	-	-	-	-	-	850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-
Carl Soderberg	Hartford (NYR)	C/LW/RW	37	1985-10-12	SWE	No	226 Lbs	6 ft3	No	No	Free Agent	No	No	3	2024-10-09	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Casey Borer	Hartford (NYR)	D	37	1985-07-26	USA	No	215 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	650,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Casey Nelson	Hartford (NYR)	D	30	1992-07-18	USA	No	189 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jakub Kindl	Hartford (NYR)	D	35	1987-09-01	CZE	No	224 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	650,000$	0$	0$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Jannik Hansen	Hartford (NYR)	LW/RW	37	1986-01-11	DAN	No	218 Lbs	6 ft1	No	No	Free Agent	No	No	3	2024-10-09	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Joe Morrow	Hartford (NYR)	D	30	1992-12-09	CAN	No	200 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	650,000$	0$	0$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Juuso Riikola	Hartford (NYR)	D	29	1993-11-09	FIN	No	192 Lbs	6 ft0	No	No	N/A	No	No	2		False	False	Pro & Farm	650,000$	0$	0$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
MacKenzie Entwistle	Hartford (NYR)	C/RW	23	1999-07-14	CAN	No	184 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	600,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mark Arcobello	Hartford (NYR)	C/LW/RW	34	1988-08-12	USA	No	179 Lbs	5 ft8	No	No	Free Agent	No	No	3	2024-10-09	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Michael Sauer	Hartford (NYR)	D	35	1987-08-07	USA	No	222 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Nathan Walker	Hartford (NYR)	LW/RW	29	1994-02-07	GRE	No	186 Lbs	5 ft9	No	No	N/A	No	No	1	2024-09-14	False	False	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Pavel Francouz	Hartford (NYR)	G	33	1990-06-03	CZE	No	179 Lbs	6 ft0	No	No	N/A	No	No	1		False	False	Pro & Farm	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Quinton Howden	Hartford (NYR)	C/LW	31	1992-01-21	CAN	No	198 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	900,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Samuel Montembeault	Hartford (NYR)	G	26	1996-10-30	CAN	Yes	195 Lbs	6 ft3	No	No	N/A	No	No	3		False	False	Pro & Farm	875,000$	0$	0$	No	875,000$	875,000$	-	-	-	-	-	-	-	875,000$	875,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Sheldon Dries	Hartford (NYR)	C/LW/RW	29	1994-04-23	USA	No	180 Lbs	5 ft9	No	No	Free Agent	No	No	3	2024-11-01	False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	500,000$	-	-	-	-	-	-	-	500,000$	500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-
Stefan Noesen	Hartford (NYR)	LW/RW	30	1993-02-12	USA	No	212 Lbs	6 ft1	No	No	N/A	No	No	2		False	False	Pro & Farm	1,100,000$	0$	0$	No	1,100,000$	-	-	-	-	-	-	-	-	1,100,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Steven Kampfer	Hartford (NYR)	D	34	1988-09-24	USA	No	200 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	650,000$	0$	0$	No	650,000$	-	-	-	-	-	-	-	-	650,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Tanner Kero (1 Way Contract)	Hartford (NYR)	C/LW/RW	30	1992-07-24	USA	No	192 Lbs	6 ft0	No	No	N/A	Yes	Yes	1		False	False	Pro & Farm	800,000$	8,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Travis Boyd	Hartford (NYR)	C/RW	29	1993-09-14	USA	No	190 Lbs	6 ft0	No	No	N/A	No	No	1	2024-09-14	False	False	Pro & Farm	1,000,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Viktor Stalberg	Hartford (NYR)	LW/RW	37	1986-01-01	SWE	No	219 Lbs	6 ft3	No	No	N/A	No	No	2		False	False	Pro & Farm	500,000$	0$	0$	No	500,000$	-	-	-	-	-	-	-	-	500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Wayne Simmonds	Hartford (NYR)	LW/RW	34	1988-08-26	CAN	No	188 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	850,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Zack Smith	Hartford (NYR)	C/LW	35	1988-01-01	CAN	No	221 Lbs	6 ft2	No	No	Free Agent	No	No	3	2024-10-09	False	False	Pro & Farm	950,000$	0$	0$	No	950,000$	950,000$	-	-	-	-	-	-	-	950,000$	950,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	32.25	202 Lbs	6 ft1	1.92	711,458$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Zack Smith		Tanner Kero	35	1	2	2
2	Andrew Ladd	Travis Boyd	Nathan Walker	30	1	2	2
3	MacKenzie Entwistle	Carl Soderberg	Wayne Simmonds	25	1	2	2
4	Quinton Howden	Mark Arcobello	Jannik Hansen	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Juuso Riikola		35	1	2	2
2	Casey Nelson	Steven Kampfer	30	1	2	2
3	Michael Sauer	Casey Borer	25	1	2	2
4	Juuso Riikola		10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Wayne Simmonds		MacKenzie Entwistle	50	1	2	2
2	Tanner Kero	Travis Boyd	Nathan Walker	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Juuso Riikola		50	1	2	2
2	Casey Borer	Steven Kampfer	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Zack Smith	Andrew Ladd	50	1	2	2
2	Carl Soderberg	Jannik Hansen	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Casey Nelson		50	1	2	2
2	Casey Borer	Steven Kampfer	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Zack Smith	50	1	2	2	Casey Nelson		50	1	2	2
2	Carl Soderberg	50	1	2	2	Casey Borer	Steven Kampfer	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Tanner Kero	Wayne Simmonds	50	1	2	2
2	Travis Boyd	MacKenzie Entwistle	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Juuso Riikola		50	1	2	2
2	Casey Borer	Steven Kampfer	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Wayne Simmonds		MacKenzie Entwistle	Juuso Riikola

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Andrew Ladd	Zack Smith	Jannik Hansen	Juuso Riikola

Extra Forwards
Normal	PowerPlay	Penalty Kill
Andrew Ladd, Carl Soderberg, Nathan Walker	Andrew Ladd, Carl Soderberg	Nathan Walker

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Casey Nelson, Steven Kampfer, Juuso Riikola	Casey Nelson	Casey Borer, Juuso Riikola

Penalty Shots
, Andrew Ladd, Wayne Simmonds, MacKenzie Entwistle, Tanner Kero

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, MacKenzie Entwistle, Zack Smith, Wayne Simmonds, Andrew Ladd, Travis Boyd, Tanner Kero, Carl Soderberg, Nathan Walker, Mark Arcobello

Custom OT Lines Defensemen
Juuso Riikola, , Casey Borer, Steven Kampfer, Casey Nelson

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Abbotsford	3	0	3	0	0	0	0	0	7	12	-5	1	0	1	0	0	0	0	0	1	3	-2	2	0	2	0	0	0	0	0	6	9	-3	0	0.000	7	13	20	0	0	89	74	55	9	111	901	917	907	84	96	38	18	54	14	2	14.29%	9	2	77.78%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
2	Bakersfield	3	0	2	0	0	0	0	1	8	20	-12	2	0	2	0	0	0	0	0	5	16	-11	1	0	0	0	0	0	0	1	3	4	-1	1	0.167	8	14	22	0	0	89	74	55	9	115	901	917	907	84	156	42	27	34	9	0	0.00%	10	5	50.00%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
3	Bridgeport	4	0	4	0	0	0	0	0	8	24	-16	2	0	2	0	0	0	0	0	7	13	-6	2	0	2	0	0	0	0	0	1	11	-10	0	0.000	8	14	22	0	0	89	74	55	9	109	901	917	907	84	174	55	50	52	12	0	0.00%	25	5	80.00%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
4	Charlotte	4	0	4	0	0	0	0	0	7	27	-20	2	0	2	0	0	0	0	0	3	12	-9	2	0	2	0	0	0	0	0	4	15	-11	0	0.000	7	12	19	0	0	89	74	55	9	137	901	917	907	84	171	39	32	76	12	0	0.00%	12	6	50.00%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
5	Cleveland	4	2	1	0	0	1	0	0	11	10	1	2	0	1	0	0	1	0	0	4	6	-2	2	2	0	0	0	0	0	0	7	4	3	5	0.625	11	20	31	0	0	89	74	55	9	143	901	917	907	84	120	35	42	54	17	3	17.65%	16	3	81.25%	1	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
6	Coachella Valley	3	1	2	0	0	0	0	0	7	11	-4	1	1	0	0	0	0	0	0	3	2	1	2	0	2	0	0	0	0	0	4	9	-5	2	0.333	7	14	21	0	0	89	74	55	9	87	901	917	907	84	115	36	29	63	9	2	22.22%	11	2	81.82%	1	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
7	Eagles	3	1	2	0	0	0	0	0	7	8	-1	2	0	2	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	5	3	2	2	0.333	7	14	21	0	0	89	74	55	9	89	901	917	907	84	86	24	24	54	13	3	23.08%	11	4	63.64%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
8	Grand Rapids	4	1	2	0	0	1	0	0	11	16	-5	2	0	1	0	0	1	0	0	4	6	-2	2	1	1	0	0	0	0	0	7	10	-3	3	0.375	11	20	31	0	0	89	74	55	9	149	901	917	907	84	114	32	23	76	15	4	26.67%	8	3	62.50%	1	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
9	Hershey	4	1	0	0	1	1	0	1	12	11	1	2	0	0	0	0	1	0	1	7	9	-2	2	1	0	0	1	0	0	0	5	2	3	6	0.750	12	22	34	0	0	89	74	55	9	131	901	917	907	84	149	53	39	65	12	3	25.00%	15	2	86.67%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
10	Iowa	3	1	2	0	0	0	0	0	8	18	-10	1	1	0	0	0	0	0	0	4	3	1	2	0	2	0	0	0	0	0	4	15	-11	2	0.333	8	10	18	0	0	89	74	55	9	97	901	917	907	84	119	33	10	56	10	1	10.00%	5	2	60.00%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
11	Laval	4	2	1	0	0	0	0	1	14	12	2	2	1	0	0	0	0	0	1	7	7	0	2	1	1	0	0	0	0	0	7	5	2	5	0.625	14	26	40	0	0	89	74	55	9	143	901	917	907	84	135	23	26	67	21	4	19.05%	12	2	83.33%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
12	Lehigh Valley	4	0	3	0	0	0	1	0	11	17	-6	2	0	2	0	0	0	0	0	5	11	-6	2	0	1	0	0	0	1	0	6	6	0	2	0.250	11	17	28	0	0	89	74	55	9	127	901	917	907	84	167	41	37	74	21	2	9.52%	16	2	87.50%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
13	Manitoba	3	0	2	0	0	0	0	1	11	15	-4	2	0	1	0	0	0	0	1	10	13	-3	1	0	1	0	0	0	0	0	1	2	-1	1	0.167	11	20	31	0	0	89	74	55	9	118	901	917	907	84	99	14	18	58	21	3	14.29%	8	4	50.00%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
14	Ontario	3	1	0	0	1	1	0	0	11	9	2	1	1	0	0	0	0	0	0	4	2	2	2	0	0	0	1	1	0	0	7	7	0	5	0.833	11	19	30	0	0	89	74	55	9	118	901	917	907	84	93	27	27	62	14	2	14.29%	6	1	83.33%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
15	Providence	4	0	3	0	0	0	0	1	9	19	-10	2	0	1	0	0	0	0	1	3	6	-3	2	0	2	0	0	0	0	0	6	13	-7	1	0.125	9	16	25	0	0	89	74	55	9	122	901	917	907	84	158	49	44	86	9	0	0.00%	17	3	82.35%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
16	Rochester	4	1	0	0	2	0	0	1	15	12	3	2	1	0	0	0	0	0	1	8	7	1	2	0	0	0	2	0	0	0	7	5	2	7	0.875	15	27	42	0	0	89	74	55	9	129	901	917	907	84	180	60	54	69	16	2	12.50%	22	3	86.36%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
17	Rockford	4	2	2	0	0	0	0	0	11	14	-3	3	1	2	0	0	0	0	0	9	13	-4	1	1	0	0	0	0	0	0	2	1	1	4	0.500	11	19	30	0	0	89	74	55	9	148	901	917	907	84	154	46	28	75	19	3	15.79%	14	3	78.57%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
18	San Diego	4	1	2	0	0	0	1	0	9	11	-2	1	1	0	0	0	0	0	0	3	2	1	3	0	2	0	0	0	1	0	6	9	-3	4	0.500	9	14	23	0	0	89	74	55	9	123	901	917	907	84	121	39	32	70	14	0	0.00%	15	6	60.00%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
19	San Jose	3	0	3	0	0	0	0	0	6	14	-8	1	0	1	0	0	0	0	0	1	5	-4	2	0	2	0	0	0	0	0	5	9	-4	0	0.000	6	11	17	0	0	89	74	55	9	86	901	917	907	84	114	43	28	54	10	1	10.00%	13	1	92.31%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
20	Springfield	3	1	1	0	1	0	0	0	9	8	1	2	1	0	0	1	0	0	0	8	5	3	1	0	1	0	0	0	0	0	1	3	-2	4	0.667	9	15	24	0	0	89	74	55	9	87	901	917	907	84	116	39	37	53	10	2	20.00%	15	2	86.67%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
21	Syracuse	4	1	3	0	0	0	0	0	14	20	-6	2	1	1	0	0	0	0	0	5	5	0	2	0	2	0	0	0	0	0	9	15	-6	2	0.250	14	25	39	0	0	89	74	55	9	168	901	917	907	84	160	54	43	74	22	5	22.73%	13	3	76.92%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
22	Texas	3	0	2	0	0	1	0	0	9	16	-7	2	0	2	0	0	0	0	0	5	11	-6	1	0	0	0	0	1	0	0	4	5	-1	1	0.167	9	15	24	0	0	89	74	55	9	120	901	917	907	84	101	30	53	68	14	2	14.29%	20	7	65.00%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
23	Wilkes-Barre/Scranton	4	0	4	0	0	0	0	0	10	19	-9	2	0	2	0	0	0	0	0	8	10	-2	2	0	2	0	0	0	0	0	2	9	-7	0	0.000	10	16	26	0	0	89	74	55	9	125	901	917	907	84	147	45	48	61	18	3	16.67%	24	5	79.17%	0	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
	Total	82	16	48	0	5	5	2	6	225	343	-118	41	9	23	0	1	3	0	5	116	172	-56	41	7	25	0	4	2	2	1	109	171	-62	57	0.348	225	393	618	0	0	89	74	55	9	2782	901	917	907	84	3045	897	769	1455	332	47	14.16%	317	76	76.03%	3	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
	_Since Last GM Reset	82	16	48	0	5	5	2	6	225	343	-118	41	9	23	0	1	3	0	5	116	172	-56	41	7	25	0	4	2	2	1	109	171	-62	57	0.348	225	393	618	0	0	89	74	55	9	2782	901	917	907	84	3045	897	769	1455	332	47	14.16%	317	76	76.03%	3	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
	_Vs Conference	44	8	25	0	3	3	1	4	122	187	-65	22	3	12	0	0	3	0	4	61	92	-31	22	5	13	0	3	0	1	0	61	95	-34	31	0.352	122	215	337	0	0	89	74	55	9	1483	901	917	907	84	1675	486	438	754	175	26	14.86%	180	37	79.44%	2	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540
	_Vs Division	20	3	12	0	1	2	1	1	52	81	-29	10	0	7	0	0	2	0	1	31	49	-18	10	3	5	0	1	0	1	0	21	32	-11	13	0.325	52	89	141	0	0	89	74	55	9	635	901	917	907	84	757	229	216	306	80	11	13.75%	96	17	82.29%	1	1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%	1914	1287	1969	632	1093	540

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	57	OTL1	225	393	618	2782	3045	897	769	1455	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	16	48	5	5	2	6	225	343

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	9	23	1	3	0	5	116	172

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	7	25	4	2	2	1	109	171

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	7	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
332	47	14.16%	317	76	76.03%	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
901	917	907	84	89	74	55	9

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
1588	3115	50.98%	1481	3026	48.94%	697	1382	50.43%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1914	1287	1969	632	1093	540

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
1	4	Hartford	3	Abbotsford	4	L			BoxScore
3	11	Hartford	4	San Diego	3	W	X	X	BoxScore
5	23	Rockford	5	Hartford	6	W			BoxScore
8	38	Springfield	1	Hartford	3	W			BoxScore
12	56	Providence	3	Hartford	2	L	X	X	BoxScore
15	73	Hartford	0	Bridgeport	3	L			BoxScore
16	82	Eagles	2	Hartford	1	L			BoxScore
19	95	Hartford	4	Laval	1	W			BoxScore
21	106	Hartford	1	San Diego	2	L			BoxScore
22	114	Texas	5	Hartford	1	L			BoxScore
25	131	Wilkes-Barre/Scranton	4	Hartford	3	L			BoxScore
29	150	Syracuse	2	Hartford	4	W			BoxScore
31	162	Hartford	2	Coachella Valley	4	L			BoxScore
33	169	Hartford	3	Lehigh Valley	2	W	X	X	BoxScore
35	179	Charlotte	4	Hartford	3	L			BoxScore
37	195	Rockford	5	Hartford	1	L			BoxScore
39	204	Hartford	2	Rockford	1	W			BoxScore
41	216	Hartford	1	Springfield	3	L			BoxScore
43	224	Ontario	2	Hartford	4	W			BoxScore
45	239	Hartford	2	Wilkes-Barre/Scranton	5	L			BoxScore
46	248	Laval	4	Hartford	5	W			BoxScore
51	268	San Diego	2	Hartford	3	W			BoxScore
54	290	Texas	6	Hartford	4	L			BoxScore
56	302	Hartford	2	Coachella Valley	5	L			BoxScore
58	314	Cleveland	3	Hartford	2	L			BoxScore
60	325	Hartford	3	Cleveland	2	W			BoxScore
61	332	Hartford	3	Rochester	2	W	X		BoxScore
64	345	Wilkes-Barre/Scranton	6	Hartford	5	L			BoxScore
66	357	Hartford	4	Cleveland	2	W			BoxScore
68	367	Rockford	3	Hartford	2	L			BoxScore
72	388	Coachella Valley	2	Hartford	3	W			BoxScore
76	405	Hartford	4	San Jose	5	L			BoxScore
78	412	Abbotsford	3	Hartford	1	L			BoxScore
80	421	Hartford	4	Texas	5	L	X		BoxScore
82	434	Springfield	4	Hartford	5	W	X		BoxScore
85	452	Hartford	3	Abbotsford	5	L			BoxScore
87	459	Cleveland	3	Hartford	2	L	X		BoxScore
89	473	Hartford	4	Rochester	3	W	X		BoxScore
91	481	Bridgeport	7	Hartford	2	L			BoxScore
93	492	Hartford	1	San Diego	4	L			BoxScore
95	505	Hartford	1	Manitoba	2	L			BoxScore
96	512	Eagles	3	Hartford	1	L			BoxScore
99	527	Hartford	3	Laval	4	L			BoxScore
101	536	Laval	3	Hartford	2	L	X	X	BoxScore
104	554	Bridgeport	6	Hartford	5	L			BoxScore
107	565	Hartford	4	Ontario	5	L	X		BoxScore
110	578	Grand Rapids	2	Hartford	1	L	X		BoxScore
113	594	Hartford	3	Charlotte	7	L			BoxScore
116	603	San Jose	5	Hartford	1	L			BoxScore
118	614	Hartford	1	San Jose	4	L			BoxScore
121	627	Hartford	3	Bakersfield	4	L	X	X	BoxScore
122	632	Iowa	3	Hartford	4	W			BoxScore
126	651	Hartford	0	Wilkes-Barre/Scranton	4	L			BoxScore
127	656	Grand Rapids	4	Hartford	3	L			BoxScore
130	672	Hartford	3	Hershey	1	W			BoxScore
132	681	Rochester	3	Hartford	5	W			BoxScore
134	693	Hartford	3	Ontario	2	W	X		BoxScore
135	703	Rochester	4	Hartford	3	L	X	X	BoxScore
137	716	Hartford	2	Hershey	1	W	X		BoxScore
139	725	Hartford	3	Lehigh Valley	4	L			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
141	733	Syracuse	3	Hartford	1	L			BoxScore
144	750	Providence	3	Hartford	1	L			BoxScore
146	759	Hartford	1	Charlotte	8	L			BoxScore
148	772	Charlotte	8	Hartford	0	L			BoxScore
150	784	Hartford	5	Eagles	3	W			BoxScore
152	797	Lehigh Valley	3	Hartford	2	L			BoxScore
156	814	Hartford	3	Iowa	5	L			BoxScore
157	823	Lehigh Valley	8	Hartford	3	L			BoxScore
159	831	Hartford	2	Grand Rapids	8	L			BoxScore
162	846	Manitoba	9	Hartford	8	L	X	X	BoxScore
164	856	Hartford	1	Iowa	10	L			BoxScore
166	868	Hartford	5	Syracuse	8	L			BoxScore
167	874	Hartford	5	Grand Rapids	2	W			BoxScore
169	881	Manitoba	4	Hartford	2	L			BoxScore
172	898	Hartford	1	Bridgeport	8	L			BoxScore
173	902	Bakersfield	6	Hartford	4	L			BoxScore
176	919	Hartford	4	Syracuse	7	L			BoxScore
177	920	Hartford	3	Providence	5	L			BoxScore
179	929	Bakersfield	10	Hartford	1	L			BoxScore
181	939	Hartford	3	Providence	8	L			BoxScore
185	958	Hershey	6	Hartford	5	L	X	X	BoxScore
191	974	Hershey	3	Hartford	2	L	X		BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	50	30
Attendance	62,105	30,886
Attendance PCT	75.74%	75.33%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	2268 - 75.60%	132,755$	5,442,966$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
3,621,086$	1,627,500$	1,627,500$	2,000,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
8,389$	1,617,189$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	18,698$	0$

Hartford 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 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 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 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 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
	GP: 82 \| W: 23 \| L: 48 \| OTL: 11 \| P: 57 GF: 225 \| GA: 343 \| PP%: 14.16% \| PK%: 76.03% GM : Steve Bergeron \| Morale : 50 \| Team Overall : N/A