Lehigh Valley Phantoms
0-0-0, 0pts

Day 5

Hartford Wolf Pack
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Hartford Wolf Pack
0-0-0, 0pts

Day 7

Springfield Thunderbirds
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Hartford Wolf Pack
0-0-0, 0pts

Day 8

Providence Bruins
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Marcel
	Coach	Scott Walker
	Division	Atlantic Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance
	Season Tickets	0
Roster Info
	Pro Team	0
	Farm Team	48
	Contract Limit	48 / 70
	Prospects	17
Team History
	This Season	0-0-0 (0PTS)
	History	54-94-13 (0.335%)
	Playoff Appearances	3
	Playoff Record (W-L)	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	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV
Scratches

	TEAM AVERAGE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	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
Scratches

	TEAM AVERAGE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Scott Walker	1	1	1	1	1	1	1	CAN	51	1	1,000,000$

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	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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			Force Waivers	Waiver Possible	Contract		Type	Current Salary	Salary Remaining	Salary Average	Salary Ave 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	2	3	4	5	6	7	8	9	10	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
0	0.00	0 Kg	0 CM	0.00	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				33	1	2	2
2				30	1	2	2
3				25	1	2	2
4				12	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			33	1	2	2
2			30	1	2	2
3			25	1	2	2
4			12	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				50	1	2	2
2				50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		50	1	2	2			50	1	2	2
2		50	1	2	2			50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			50	1	2	2
2			50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0%	0	0	0%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0%	0	0	0%	0	0	0%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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
5	4	Lehigh Valley Phantoms	-	Hartford Wolf Pack	-
7	28	Hartford Wolf Pack	-	Springfield Thunderbirds	-
8	34	Hartford Wolf Pack	-	Providence Bruins	-
10	49	Lehigh Valley Phantoms	-	Hartford Wolf Pack	-
12	70	Hartford Wolf Pack	-	Wilkes-Barre/Scranton Penguins	-
14	85	Hartford Wolf Pack	-	Lehigh Valley Phantoms	-
15	95	Wilkes-Barre/Scranton Penguins	-	Hartford Wolf Pack	-
17	114	Hartford Wolf Pack	-	Hershey Bears	-
19	130	Providence Bruins	-	Hartford Wolf Pack	-
21	148	Hartford Wolf Pack	-	Providence Bruins	-
22	159	Hershey Bears	-	Hartford Wolf Pack	-
24	176	Cleveland Monsters	-	Hartford Wolf Pack	-
26	196	Hartford Wolf Pack	-	Charlotte Checkers	-
28	208	Hartford Wolf Pack	-	Laval Rocket	-
30	225	Charlotte Checkers	-	Hartford Wolf Pack	-
32	247	Utica Comets	-	Hartford Wolf Pack	-
35	265	Wilkes-Barre/Scranton Penguins	-	Hartford Wolf Pack	-
36	277	Hartford Wolf Pack	-	Syracuse Crunch	-
38	292	Manitoba Moose	-	Hartford Wolf Pack	-
40	304	Hartford Wolf Pack	-	San Diego Gulls	-
42	321	Hartford Wolf Pack	-	Charlotte Checkers	-
44	339	Providence Bruins	-	Hartford Wolf Pack	-
47	356	Hartford Wolf Pack	-	Hamilton Hammers	-
49	371	Hershey Bears	-	Hartford Wolf Pack	-
51	391	Hartford Wolf Pack	-	Tucson Roadrunners	-
52	402	Hartford Wolf Pack	-	Rochester Americans	-
53	413	Springfield Thunderbirds	-	Hartford Wolf Pack	-
55	431	Hartford Wolf Pack	-	Charlotte Checkers	-
57	445	Lehigh Valley Phantoms	-	Hartford Wolf Pack	-
60	466	Hamilton Hammers	-	Hartford Wolf Pack	-
62	488	Syracuse Crunch	-	Hartford Wolf Pack	-
63	496	Hartford Wolf Pack	-	Hershey Bears	-
66	522	Springfield Thunderbirds	-	Hartford Wolf Pack	-
68	536	Hartford Wolf Pack	-	San Jose Barracuda	-
69	551	Lehigh Valley Phantoms	-	Hartford Wolf Pack	-
71	570	Rochester Americans	-	Hartford Wolf Pack	-
73	586	Hartford Wolf Pack	-	Lehigh Valley Phantoms	-
74	599	Hartford Wolf Pack	-	Chicago Wolves	-
76	614	Hartford Wolf Pack	-	Lehigh Valley Phantoms	-
78	627	Grand Rapids Griffins	-	Hartford Wolf Pack	-
80	649	Bakersfield Condors	-	Hartford Wolf Pack	-
82	660	Hartford Wolf Pack	-	Springfield Thunderbirds	-
87	676	Hartford Wolf Pack	-	Cleveland Monsters	-
89	688	Laval Rocket	-	Hartford Wolf Pack	-
91	713	Springfield Thunderbirds	-	Hartford Wolf Pack	-
93	728	Hartford Wolf Pack	-	Providence Bruins	-
94	736	Hartford Wolf Pack	-	Utica Comets	-
96	756	Milwaukee Admirals	-	Hartford Wolf Pack	-
98	776	Iowa Wild	-	Hartford Wolf Pack	-
99	784	Hartford Wolf Pack	-	Rochester Americans	-
102	808	Ontario Reign	-	Hartford Wolf Pack	-
104	819	Hartford Wolf Pack	-	Abbotsford Canucks	-
106	838	Hartford Wolf Pack	-	Springfield Thunderbirds	-
108	850	Henderson Silver Knights	-	Hartford Wolf Pack	-
110	868	Hartford Wolf Pack	-	Rockford IceHogs	-
112	882	Utica Comets	-	Hartford Wolf Pack	-
113	890	Hartford Wolf Pack	-	Calgary Wranglers	-
116	909	Hartford Wolf Pack	-	Hamilton Hammers	-
117	923	Cleveland Monsters	-	Hartford Wolf Pack	-
119	940	Hartford Wolf Pack	-	Hamilton Hammers	-
121	953	Calgary Wranglers	-	Hartford Wolf Pack	-
124	975	Hartford Wolf Pack	-	Toronto Marlies	-
126	988	Hartford Wolf Pack	-	Abbotsford Canucks	-
127	994	Belleville Senators	-	Hartford Wolf Pack	-
129	1019	Wilkes-Barre/Scranton Penguins	-	Hartford Wolf Pack	-
132	1040	Colorado Eagles	-	Hartford Wolf Pack	-
134	1051	Hartford Wolf Pack	-	Texas Stars	-
136	1071	Hartford Wolf Pack	-	Syracuse Crunch	-
137	1078	Hartford Wolf Pack	-	Laval Rocket	-
139	1087	Providence Bruins	-	Hartford Wolf Pack	-
141	1111	Charlotte Checkers	-	Hartford Wolf Pack	-
145	1133	Hartford Wolf Pack	-	Wilkes-Barre/Scranton Penguins	-
146	1139	Charlotte Checkers	-	Hartford Wolf Pack	-
151	1172	Hartford Wolf Pack	-	Wilkes-Barre/Scranton Penguins	-
152	1178	Toronto Marlies	-	Hartford Wolf Pack	-
157	1200	Hartford Wolf Pack	-	Hershey Bears	-
158	1210	Hershey Bears	-	Hartford Wolf Pack	-
160	1221	Hartford Wolf Pack	-	Coachella Valley Firebirds	-
162	1238	Hartford Wolf Pack	-	Belleville Senators	-
164	1245	Calgary Wranglers	-	Hartford Wolf Pack	-
170	1269	Hartford Wolf Pack	-	Belleville Senators	-
171	1278	Toronto Marlies	-	Hartford Wolf Pack	-
177	1311	Hamilton Hammers	-	Hartford Wolf Pack	-
183	1333	Hamilton Hammers	-	Hartford Wolf Pack	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0%	0%
Attendance PCT	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
42	0 - 0%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	0$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	186	5,376$	999,936$

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
1	Brennan Othmann	151	43	43	86	-4	44	152	191	340	12.65%	21	3072	20.35	4	10	14	51	0	0	0	4	2	5	39.32%	1	0.56	0	2
2	Matt Rempe	84	34	50	84	23	99	281	179	279	12.19%	27	1751	20.85	3	10	13	39	0	1	1	3	5	1	51.83%	0	0.96	0	4
3	Mac Hollowell	164	17	63	80	-40	73	200	227	167	10.18%	186	3105	18.94	3	9	12	77	0	2	2	1	2	1	0%	0	0.52	0	0
4	Brett Berard	144	35	40	75	-21	28	121	212	392	8.93%	17	2945	20.46	6	7	13	70	0	1	1	4	5	1	38.21%	0	0.51	4	6
5	Nikolas Brouillard	161	11	54	65	-55	76	191	155	161	6.83%	144	3014	18.72	7	10	17	80	1	0	1	2	1	0	0%	0	0.43	2	2

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	A	EG	PS %	PSA
1	Filip Larsson	42	19	17	2	0.890	3.09	2173	4	1	112	1018	1	3	0.875	16
2	Talyn Boyko	40	12	17	0	0.894	2.99	1984	2	1	99	936	1	1	1.000	7
3	Dylan Garand	47	10	24	7	0.890	3.14	2468	2	2	129	1176	0	1	0.375	8
4	Hugo Ollas	37	6	22	3	0.863	3.73	1785	0	0	111	811	2	0	0.500	8
5	Olof Lindbom	15	4	6	1	0.865	3.80	647	0	0	41	304	1	0	0	0

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
Regular Season
24	82	14	52	0	3	9	0	4	152	275	-123	41	9	23	0	1	5	0	3	79	124	-45	41	5	29	0	2	4	0	1	73	151	-78	47	152	272	424	2	2	59	48	42	8	1688	556	551	553	44	2361	682	494	1572	247	34	13.77%	215	38	82.33%	1	1006	2198	45.77%	1046	2566	40.76%	493	1200	41.08%	1792	1203	2110	620	1072	518
25	82	27	42	0	6	3	4	0	234	271	-37	41	15	19	0	5	1	1	0	124	126	-2	41	12	23	0	1	2	3	0	110	145	-35	77	234	415	649	4	2	75	85	64	12	2138	719	683	713	46	2294	652	630	1714	252	42	16.67%	278	60	78.42%	4	1092	2429	44.96%	1126	2493	45.17%	608	1304	46.63%	1913	1302	1963	616	1075	535
Total Regular Season	164	41	94	0	9	12	4	4	386	546	-160	82	24	42	0	6	6	1	3	203	250	-47	82	17	52	0	3	6	3	1	183	296	-113	124	386	687	1073	6	4	134	133	106	20	3826	1275	1234	1266	90	4655	1334	1124	3286	499	76	15.23%	493	98	80.12%	5	2098	4627	45.34%	2172	5059	42.93%	1101	2504	43.97%	3706	2505	4074	1237	2147	1053
Playoff
Total Playoff	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

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: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Marcel \| Morale : 40 \| Team Overall : N/A Next Games #4 vs Lehigh Valley Phantoms