Washington Capitals
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule

Game Center
	Lehigh Valley Phantoms 2-2-0, 4pts	3	FINAL	1	Hershey Bears 1-3-0, 2pts

Team Stats
L1	Streak	W1
1-1-0	Home Record	0-2-0
1-1-0	Home Record	1-1-0
2-2-0	Last 10 Games	1-3-0
2.25	Goals Per Game	2.25
1.75	Goals Against Per Game	2.75
23.08%	Power Play Percentage	6.67%
78.95%	Penalty Kill Percentage	90.00%

Hershey Bears
1-3-0, 2pts

FINAL

Charlotte Checkers
0-4-0, 0pts

Team Stats
W1	Streak	L4
0-2-0	Home Record	0-2-0
1-1-0	Home Record	0-2-0
1-3-0	Last 10 Games	0-4-0
2.25	Goals Per Game	2.75
2.75	Goals Against Per Game	7.50
6.67%	Power Play Percentage	8.33%
90.00%	Penalty Kill Percentage	61.11%

Hershey Bears
1-3-0, 2pts

Day 16

Hartford Wolf Pack
4-0-0, 8pts

Team Stats
W1	Streak	W3
0-2-0	Home Record	2-0-0
1-1-0	Away Record	2-0-0
1-3-0	Last 10 Games	4-0-0
2.25	Goals Per Game	2.75
2.75	Goals Against Per Game	2.75
6.67%	Power Play Percentage	15.38%
90.00%	Penalty Kill Percentage	78.95%

Iowa Wild
2-1-0, 4pts

Day 18

Hershey Bears
1-3-0, 2pts

Team Stats
W2	Streak	W1
1-1-0	Home Record	0-2-0
1-0-0	Away Record	1-1-0
2-1-0	Last 10 Games	1-3-0
2.33	Goals Per Game	2.25
1.67	Goals Against Per Game	2.25
0.00%	Power Play Percentage	6.67%
100.00%	Penalty Kill Percentage	90.00%

Laval Rocket
1-4-0, 2pts

Day 21

Hershey Bears
1-3-0, 2pts

Team Stats
L1	Streak	W1
0-2-0	Home Record	0-2-0
1-2-0	Away Record	1-1-0
1-4-0	Last 10 Games	1-3-0
2.80	Goals Per Game	2.25
5.20	Goals Against Per Game	2.25
16.67%	Power Play Percentage	6.67%
84.62%	Penalty Kill Percentage	90.00%

Team Leaders
	Goals Matthew Phillips 3	Assists Ivan Miroshnichenko 3

	Points Ivan Miroshnichenko 5	Plus/Minus Matthew Phillips 1

	Wins Hunter Shepard 1	Save Percentage Hunter Shepard 0.934

Team Stats
Goals For 9 2.25 GFG	Shots For 128 32.00 Avg	Power Play Percentage 6.7% 1 GF	Offensive Zone Start 31.9%
Goals Against 11 2.75 GAA	Shots Against 152 38.00 Avg	Penalty Kill Percentage 90.0%% 1 GA	Defensive Zone Start 52.1%

Team Info
	General Manager
	Coach	Bob Jones
	Division	Atlantic
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	0
	Season Tickets	0
Roster Info
	Pro Team	3
	Farm Team	19
	Contract Limit	22 / 250
	Prospects	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	#	L	R	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Ivan Miroshnichenko	0	X		100.00	71	37	91	67	74	80	72	64	58	62	59	61	63	60	65	84	45	61	0	21	3	2,123,000$
2	Matthew Phillips	0		X	100.00	59	34	95	65	60	82	80	64	61	62	63	60	64	66	68	47	49	61	0	27	2	1,906,000$
Scratches

	TEAM AVERAGE				100.00	65	36	93	66	67	81	76	64	60	62	61	61	64	63	67	66	47	61

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	Hunter Shepard	0	98.00	80	84	79	77	79	78	80	79	78	80	79	69	83	51	46	63	0	29	1	3,197,606$
Scratches

	TEAM AVERAGE		98.00	80	84	79	77	79	78	80	79	78	80	79	69	83	51	46	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bob Jones	73	65	71	65	81	75	68	CAN	54	1	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	GP	G	A	P	+/-	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	P/20	S1	S2
1	Ivan Miroshnichenko	Hershey Bears (WSH)	LW	4	2	3	5	1	11	13	20	1	15	10.00%	2	80	20.08	0	1	1	1	11	0	5	1	0	41.67%	12	1.25	1	0
2	Matthew Phillips	Hershey Bears (WSH)	RW	4	3	2	5	1	1	12	19	2	8	15.79%	3	85	21.48	1	0	1	4	11	1	11	0	1	40.00%	5	1.16	0	1
3	Hendrix Lapierre	Washington Capitals	C	2	0	0	0	-1	0	10	17	2	6	0%	1	42	21.44	0	0	0	1	3	1	5	0	0	67.16%	67	0	0	0
Team Total or Average				10	5	5	10	1	12	35	56	5	29	8.93%	6	209	20.91	1	1	2	6	26	2	22	1	1	61.90%	84	0.96	1	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

#	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
1	Hunter Shepard	Hershey Bears (WSH)	4	1	3	0	0.934	2.52	238	2	0	10	151	0	0	1	0	0	4	0	0	0	2
Team Total or Average			4	1	3	0	0.934	2.52	238	2	0	10	151	0	0	1		0	4	0	0	0	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
Hunter Shepard	Hershey Bears (WSH)	G	29	1995-11-07	USA	No	215 Lbs	6 ft0	No	No	Assign Manually	No	No	1	2025-03-28	False	False	Pro & Farm	3,197,606$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ivan Miroshnichenko	Hershey Bears (WSH)	LW	21	2004-02-04	RUS	No	185 Lbs	6 ft1	No	No	Assign Manually	No	No	3	2025-03-28	False	False	Pro & Farm	2,123,000$	0$	0$	No	2,123,000$	2,123,000$	-	-	-	-	-	-	-	2,123,000$	2,123,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Matthew Phillips	Hershey Bears (WSH)	RW	27	1998-04-06	CAN	No	160 Lbs	5 ft8	No	No	Assign Manually	No	No	2	2025-03-28	False	False	Pro & Farm	1,906,000$	0$	0$	No	1,906,000$	-	-	-	-	-	-	-	-	1,906,000$	3,321,000$	3,321,000$	3,321,000$	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
3	25.67	187 Lbs	5 ft11	2.00	2,408,869$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ivan Miroshnichenko		Matthew Phillips	40	1	2	2
2				30	1	2	2
3				20	1	2	2
4	Matthew Phillips		Ivan Miroshnichenko	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Ivan Miroshnichenko		Matthew Phillips	60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Matthew Phillips	60	1	2	2
2	Ivan Miroshnichenko		40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2	Matthew Phillips	40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1		Matthew Phillips	60	1	2	2
2	Ivan Miroshnichenko		40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Ivan Miroshnichenko		Matthew Phillips

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Ivan Miroshnichenko		Matthew Phillips

Extra Forwards
Normal	PowerPlay	Penalty Kill
Ivan Miroshnichenko, , Matthew Phillips	Ivan Miroshnichenko,	Matthew Phillips

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, Matthew Phillips, Ivan Miroshnichenko, ,

Goalie
#1 : Hunter Shepard, #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
1	Charlotte Checkers	1	1	0	0	0	0	0	0	6	3	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	3	3	2	1.000	6	8	14	0	0	1	5	3	0	41	37	45	46	0	37	12	8	21	4	1	25.00%	4	0	100.00%	0	44	101	43.56%	80	165	48.48%	21	51	41.18%	74	54	126	27	39	16
2	Hartford Wolf Pack	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	5	3	0	32	37	45	46	0	43	10	10	14	2	0	0.00%	4	0	100.00%	0	44	101	43.56%	80	165	48.48%	21	51	41.18%	74	54	126	27	39	16
3	Lehigh Valley Phantoms	2	0	2	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	1	1	2	1	0	1	5	3	0	55	37	45	46	0	72	21	4	38	9	0	0.00%	2	1	50.00%	0	44	101	43.56%	80	165	48.48%	21	51	41.18%	74	54	126	27	39	16
	Total	4	1	3	0	0	0	0	0	9	11	-2	2	0	2	0	0	0	0	0	3	6	-3	2	1	1	0	0	0	0	0	6	5	1	2	0.250	9	13	22	1	0	1	5	3	0	128	37	45	46	0	152	43	22	73	15	1	6.67%	10	1	90.00%	0	44	101	43.56%	80	165	48.48%	21	51	41.18%	74	54	126	27	39	16
	_Since Last GM Reset	4	1	3	0	0	0	0	0	9	11	-2	2	0	2	0	0	0	0	0	3	6	-3	2	1	1	0	0	0	0	0	6	5	1	2	0.250	9	13	22	1	0	1	5	3	0	128	37	45	46	0	152	43	22	73	15	1	6.67%	10	1	90.00%	0	44	101	43.56%	80	165	48.48%	21	51	41.18%	74	54	126	27	39	16
	_Vs Conference	4	1	3	0	0	0	0	0	9	11	-2	2	0	2	0	0	0	0	0	3	6	-3	2	1	1	0	0	0	0	0	6	5	1	2	0.250	9	13	22	1	0	1	5	3	0	128	37	45	46	0	152	43	22	73	15	1	6.67%	10	1	90.00%	0	44	101	43.56%	80	165	48.48%	21	51	41.18%	74	54	126	27	39	16
	_Vs Division	3	1	3	0	0	0	0	0	3	8	-5	2	0	2	0	0	0	0	0	3	6	-3	1	1	1	0	0	0	0	0	0	2	-2	2	0.333	3	5	8	1	0	1	5	3	0	87	37	45	46	0	115	31	14	52	11	0	0.00%	6	1	83.33%	0	44	101	43.56%	80	165	48.48%	21	51	41.18%	74	54	126	27	39	16

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
4	2	W1	9	13	22	128	152	43	22	73	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
4	1	3	0	0	0	0	9	11

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	3	6

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	1	1	0	0	0	0	6	5

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	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
15	1	6.67%	10	1	90.00%	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
37	45	46	0	1	5	3	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
44	101	43.56%	80	165	48.48%	21	51	41.18%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
74	54	126	27	39	16

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	Link
2	7	Hershey Bears	0	Lehigh Valley Phantoms	2	L	BoxScore
5	24	Hartford Wolf Pack	3	Hershey Bears	2	L	BoxScore
9	48	Lehigh Valley Phantoms	3	Hershey Bears	1	L	BoxScore
11	56	Hershey Bears	6	Charlotte Checkers	3	W	BoxScore
16	80	Hershey Bears	-	Hartford Wolf Pack	-
18	86	Iowa Wild	-	Hershey Bears	-
21	108	Laval Rocket	-	Hershey Bears	-
26	137	Lehigh Valley Phantoms	-	Hershey Bears	-
31	163	Hartford Wolf Pack	-	Hershey Bears	-
34	180	Hershey Bears	-	Bridgeport Islanders	-
36	188	Hershey Bears	-	Belleville Senators	-
38	201	Iowa Wild	-	Hershey Bears	-
41	215	Hershey Bears	-	Laval Rocket	-
44	229	Cleveland Monsters	-	Hershey Bears	-
46	238	Hershey Bears	-	Hartford Wolf Pack	-
51	266	Providence Bruins	-	Hershey Bears	-
55	291	Manitoba Moose	-	Hershey Bears	-
59	314	Hershey Bears	-	Milwaukee Admirals	-
61	324	Iowa Wild	-	Hershey Bears	-
63	338	Hershey Bears	-	San Jose Barracuda	-
68	356	Colorado Eagles	-	Hershey Bears	-
74	386	Calgary Wranglers	-	Hershey Bears	-
79	418	Chicago Wolves	-	Hershey Bears	-
81	429	Hershey Bears	-	Wilkes-Barre/Scranton Penguins	-
83	441	Hershey Bears	-	Abbotsford Canucks	-
85	449	Bakersfield Condors	-	Hershey Bears	-
88	466	Hershey Bears	-	Wilkes-Barre/Scranton Penguins	-
90	478	Hershey Bears	-	Belleville Senators	-
92	484	Providence Bruins	-	Hershey Bears	-
95	500	Hershey Bears	-	Henderson Silver Knights	-
97	510	Hershey Bears	-	Springfield Thunderbirds	-
99	522	Texas Stars	-	Hershey Bears	-
103	543	Hershey Bears	-	San Diego Gulls	-
105	553	Utica Comets	-	Hershey Bears	-
107	567	Hershey Bears	-	Lehigh Valley Phantoms	-
110	583	Hershey Bears	-	Tucson Roadrunners	-
112	590	Lehigh Valley Phantoms	-	Hershey Bears	-
116	610	Hershey Bears	-	Cleveland Monsters	-
117	620	Syracuse Crunch	-	Hershey Bears	-
122	647	Hershey Bears	-	Utica Comets	-
124	653	Ontario Reign	-	Hershey Bears	-
126	665	Hershey Bears	-	Springfield Thunderbirds	-
128	672	Hershey Bears	-	Providence Bruins	-
131	686	Laval Rocket	-	Hershey Bears	-
137	713	Hershey Bears	-	Iowa Wild	-
138	723	Belleville Senators	-	Hershey Bears	-
141	737	Hershey Bears	-	Hartford Wolf Pack	-
143	751	Hershey Bears	-	Coachella Valley Firebirds	-
145	759	Bridgeport Islanders	-	Hershey Bears	-
147	775	Hershey Bears	-	Charlotte Checkers	-
149	786	Hershey Bears	-	Syracuse Crunch	-
151	795	Wilkes-Barre/Scranton Penguins	-	Hershey Bears	-
153	811	Hershey Bears	-	Rochester Americans	-
Trade Deadline --- Trades can’t be done after this day is simulated!
155	822	Hershey Bears	-	Calgary Wranglers	-
157	829	Cleveland Monsters	-	Hershey Bears	-
161	849	Hershey Bears	-	Iowa Wild	-
163	857	Hershey Bears	-	Rockford IceHogs	-
165	863	Charlotte Checkers	-	Hershey Bears	-
170	890	Hershey Bears	-	Providence Bruins	-
171	895	Hartford Wolf Pack	-	Hershey Bears	-
177	924	Charlotte Checkers	-	Hershey Bears	-
179	936	Hershey Bears	-	Bridgeport Islanders	-
182	956	Belleville Senators	-	Hershey Bears	-
185	972	Hershey Bears	-	Charlotte Checkers	-
188	990	Bridgeport Islanders	-	Hershey Bears	-
191	1007	Hershey Bears	-	Toronto Marlies	-
195	1021	Grand Rapids Griffins	-	Hershey Bears	-
199	1043	Hershey Bears	-	Laval Rocket	-
200	1055	Rochester Americans	-	Hershey Bears	-
205	1080	Hershey Bears	-	Bakersfield Condors	-
206	1088	Henderson Silver Knights	-	Hershey Bears	-
211	1115	Springfield Thunderbirds	-	Hershey Bears	-
215	1139	Hershey Bears	-	Manitoba Moose	-
217	1148	Wilkes-Barre/Scranton Penguins	-	Hershey Bears	-
223	1180	Toronto Marlies	-	Hershey Bears	-
229	1212	Springfield Thunderbirds	-	Hershey Bears	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	0	0
Attendance PCT	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
36	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
42,468$	722,661$	722,661$	1$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	42,468$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	220	3,115$	685,300$

Hershey Bears 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

Hershey Bears 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

Hershey Bears 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

Hershey Bears 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

Hershey Bears 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

	Hershey Bears
	GP: 4 \| W: 1 \| L: 3 \| OTL: 0 \| P: 2 GF: 9 \| GA: 11 \| PP%: 6.67% \| PK%: 90.00% GM : \| Morale : 44 \| Team Overall : 62 Next Games #80 vs Hartford Wolf Pack