Washington Capitals
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	San Diego Gulls 21-32-3, 45pts	2	FINAL	3	Hershey Bears 34-14-7, 75pts

Team Stats
L1	Streak	L1
8-18-2	Home Record	22-4-3
13-14-1	Home Record	12-10-4
3-7-0	Last 10 Games	6-3-1
3.36	Goals Per Game	3.87
4.09	Goals Against Per Game	3.20
37.84%	Power Play Percentage	27.41%
61.19%	Penalty Kill Percentage	67.41%

Hershey Bears
34-14-7, 75pts

FINAL

San Antonio Rampage
26-23-8, 60pts

Team Stats
L1	Streak	W2
22-4-3	Home Record	12-11-6
12-10-4	Home Record	14-12-2
6-3-1	Last 10 Games	4-5-1
3.87	Goals Per Game	2.82
3.20	Goals Against Per Game	3.23
27.41%	Power Play Percentage	32.17%
67.41%	Penalty Kill Percentage	66.42%

Charlotte Checkers
30-16-11, 71pts

Day 123

Hershey Bears
34-14-7, 75pts

Team Stats
L1	Streak	L1
15-8-5	Home Record	22-4-3
15-8-6	Away Record	12-10-4
4-4-2	Last 10 Games	6-3-1
3.60	Goals Per Game	3.87
3.28	Goals Against Per Game	3.87
29.73%	Power Play Percentage	27.41%
72.86%	Penalty Kill Percentage	67.41%

Oklahoma City Barons
15-30-10, 40pts

Day 129

Hershey Bears
34-14-7, 75pts

Team Stats
SOW1	Streak	L1
8-15-6	Home Record	22-4-3
7-15-4	Away Record	12-10-4
5-4-1	Last 10 Games	6-3-1
2.85	Goals Per Game	3.87
3.87	Goals Against Per Game	3.87
34.43%	Power Play Percentage	27.41%
61.86%	Penalty Kill Percentage	67.41%

Hershey Bears
34-14-7, 75pts

Day 131

Texas Stars
34-19-5, 73pts

Team Stats
L1	Streak	L1
22-4-3	Home Record	20-8-0
12-10-4	Away Record	14-11-5
6-3-1	Last 10 Games	7-3-0
3.87	Goals Per Game	3.07
3.20	Goals Against Per Game	3.07
27.41%	Power Play Percentage	36.52%
67.41%	Penalty Kill Percentage	64.66%

Team Leaders
	Goals Vinni Lettieri 32	Assists Alex Steeves 44

	Points Vinni Lettieri 66	Plus/Minus Lucas Carlsson 25

	Wins Collin Delia 16	Save Percentage Collin Delia 0.895

Team Stats
Goals For 213 3.87 GFG	Shots For 1812 32.95 Avg	Power Play Percentage 27.4% 37 GF	Offensive Zone Start 36.2%
Goals Against 176 3.20 GAA	Shots Against 1721 31.29 Avg	Penalty Kill Percentage 67.4%% 44 GA	Defensive Zone Start 36.8%

Team Info
	General Manager	Dany
	Coach	Jim Hiller
	Division	Atlantic Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	3,000
	Attendance	2,849
	Season Tickets	750
Roster Info
	Pro Team	30
	Farm Team	20
	Contract Limit	50 / 65
	Prospects	40
Team History
	This Season	34-14-7 (75PTS)
	History	211-116-42 (0.572%)
	Playoff Appearances	0
	Playoff Record (W-L)	-
	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	Beck Malenstyn	0		X	X		100.00	90	56	88	78	78	57	93	61	54	58	57	78	25	61	62	0	83	65	0	28	2	1,350,000$
2	Jiri Kulich (R)	0	X		X		100.00	67	42	90	76	71	68	83	69	75	62	75	63	25	51	51	0	86	65	0	21	1	1,500,000$
3	Drake Caggiula	0		X			100.00	68	67	69	67	67	80	84	67	50	62	65	67	62	65	67	0	79	64	0	31	2	775,000$
4	Vinni Lettieri	0	X		X		100.00	88	45	92	74	65	65	89	69	47	58	62	68	25	60	60	0	86	64	0	31	2	775,000$
5	Philipp Kurashev	0	X	X	X		100.00	67	42	91	78	70	65	68	62	58	62	66	70	75	66	66	0	84	64	0	26	2	2,250,000$
6	Alex Steeves	0	X	X			100.00	74	73	77	69	73	79	82	68	80	60	72	65	68	45	45	0	88	64	0	26	3	850,000$
7	Joey Anderson	0		X	X		100.00	69	43	99	74	74	62	67	62	56	56	55	83	25	61	61	0	82	63	0	27	3	800,000$
8	Jakub Lauko	0	X	X	X		100.00	86	96	76	78	73	57	73	62	28	60	59	75	25	59	60	0	72	63	0	25	2	787,500$
9	Matthew Highmore	0	X		X		100.00	77	43	91	75	67	58	81	59	34	60	57	73	25	62	63	0	84	62	0	29	1	775,000$
10	Oliver Wahlstrom	0		X	X		100.00	71	87	76	77	78	56	79	65	56	57	58	64	59	64	65	0	82	62	0	25	1	874,125$
11	Marc McLaughlin	0	X		X		100.00	85	45	99	74	73	53	65	62	47	57	66	68	25	46	46	0	84	61	0	26	3	775,000$
12	Lucas Carlsson	0				X	100.00	61	41	70	70	70	78	74	63	25	57	49	83	25	53	54	0	87	65	0	28	2	800,000$
13	Josh Mahura	0				X	100.00	79	44	90	72	70	63	81	59	25	51	47	71	25	64	66	0	89	64	0	27	1	907,500$
14	Ethan Del Mastro (R)	0				X	96.00	82	45	91	68	80	75	86	61	25	52	49	71	25	46	46	0	82	64	0	23	2	900,000$
15	Dennis Gilbert	0				X	99.00	87	99	54	69	83	54	52	57	25	55	47	74	25	57	57	0	87	63	0	29	1	762,500$
16	Simon Nemec	0				X	100.00	57	41	84	76	71	65	78	61	25	46	49	69	25	55	55	0	82	62	0	22	1	1,500,000$
17	Hunter Brzustewicz (R)	0				X	100.00	77	70	94	67	70	80	87	52	25	49	41	63	39	44	44	0	88	61	0	21	1	950,000$
18	Kyle Capobianco	0				X	100.00	73	74	69	66	74	76	81	57	25	56	41	64	39	53	54	0	64	61	0	28	3	775,000$
Scratches
1	Akil Thomas	0	X	X	X		100.00	82	68	90	73	72	55	50	61	44	58	56	67	25	46	46	0	29	58	0	26	3	775,000$
2	Otto Stenberg (R)	0	X	X			100.00	75	66	96	64	66	64	66	57	71	56	53	63	50	44	44	0	20	57	0	20	2	918,333$
3	Jett Jones (R)	0	X	X	X		100.00	84	79	94	62	79	36	35	45	56	38	46	64	44	44	44	0	20	50	0	23	0	0$
4	Maxime Comtois	0		X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	48	0	26	1	750,000$
5	Filip Hallander	0	X	X			100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	50	50	0	20	48	0	25	1	775,000$
6	Adam Boqvist	0				X	89.85	63	41	90	76	70	64	56	74	25	63	51	63	25	64	65	0	74	63	0	25	2	775,000$
7	Charles-Alexis Legault (R)	0				X	100.00	77	77	76	63	77	71	78	47	25	37	41	61	39	44	44	0	21	57	0	22	1	915,833$
8	Xavier Bouchard (R)	0				X	100.00	76	76	76	64	76	57	60	46	25	37	39	61	37	44	44	0	20	55	0	25	1	750,000$
9	Lukas Cormier (R)	0				X	100.00	72	67	83	65	67	45	44	53	25	52	39	60	37	44	44	0	20	54	0	23	1	1,000,000$

	TEAM AVERAGE						99.41	74	60	82	69	71	62	70	59	42	54	53	67	37	53	54	0	64	60

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	Ludovic Waeber	0	100.00	59	47	59	65	64	66	58	64	68	66	30	44	44	0	85	59	0	29	2	750,000$
2	Collin Delia	0	98.00	54	48	60	78	56	57	53	59	58	57	30	44	44	0	85	56	0	31	2	775,000$
Scratches
1	Cale Morris	0	100.00	50	50	50	50	50	50	50	50	50	50	50	50	50	0	48	49	0	29	0	0$

	TEAM AVERAGE		99.33	54	48	56	64	57	58	54	58	59	58	37	46	46	0	73	55

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jim Hiller	76	77	76	75	80	77	70	CAN	56	2	250,000$

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	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Vinni Lettieri	Hershey Bears (WSH)	C/RW	55	32	34	66	10	5	5	71	70	198	58	115	16.16%	28	1004	18.27	7	10	17	27	95	0	1	1	0	0	3	2	40.00%	50	41	10	1	1.31	0	0	1	0	0	4	4	5
2	Alex Steeves	Hershey Bears (WSH)	C/LW	55	22	44	66	8	69	45	100	108	152	44	74	14.47%	24	1075	19.55	3	14	17	12	96	0	2	2	6	90	3	2	57.44%	672	20	14	0	1.23	0	1	4	0	5	6	1	6
3	Drake Caggiula	Hershey Bears (WSH)	LW	55	27	35	62	9	76	40	97	84	157	47	84	17.20%	19	1103	20.07	7	7	14	23	97	2	1	3	6	83	5	2	45.28%	106	34	13	0	1.12	0	4	2	3	3	2	7	5
4	Jiri Kulich	Hershey Bears (WSH)	C/RW	55	26	35	61	23	20	10	94	86	222	69	142	11.71%	22	1094	19.90	3	5	8	19	76	1	0	1	3	33	7	1	53.40%	1015	28	18	1	1.11	0	0	1	0	1	5	5	3
5	Joey Anderson	Hershey Bears (WSH)	LW/RW	55	19	29	48	19	5	5	61	82	113	42	80	16.81%	25	956	17.39	2	9	11	9	73	0	0	0	2	47	4	3	59.15%	142	23	18	1	1.00	1	5	0	1	0	4	1	4
6	Philipp Kurashev	Hershey Bears (WSH)	C/LW/RW	55	21	27	48	19	7	5	50	62	176	51	108	11.93%	25	936	17.02	6	6	12	19	98	0	1	1	1	65	2	2	47.40%	173	38	13	0	1.03	0	0	0	0	1	4	2	2
7	Jakub Lauko	Hershey Bears (WSH)	C/LW/RW	55	20	27	47	19	205	85	98	72	172	47	85	11.63%	25	947	17.23	0	1	1	0	8	0	0	0	0	0	3	3	36.87%	434	23	19	0	0.99	2	2	7	5	5	0	4	3
8	Oliver Wahlstrom	Hershey Bears (WSH)	LW/RW	55	14	14	28	15	66	30	96	54	118	36	80	11.86%	26	793	14.42	0	0	0	0	1	1	0	1	2	23	1	0	52.00%	50	24	11	0	0.71	0	0	1	3	1	1	4	1
9	Lucas Carlsson	Hershey Bears (WSH)	D	50	3	24	27	25	44	0	61	88	70	30	38	4.29%	73	1192	23.84	2	1	3	6	85	0	1	1	1	64	1	0	0%	0	18	38	0	0.45	0	0	0	0	0	0	2	0
10	Beck Malenstyn	Hershey Bears (WSH)	LW/RW	54	15	8	23	14	11	5	53	46	94	32	48	15.96%	13	621	11.51	4	0	4	8	51	0	0	0	1	44	3	2	47.62%	63	12	12	0	0.74	0	2	0	0	1	3	2	3
11	Matthew Highmore	Hershey Bears (WSH)	C/RW	55	6	10	16	6	8	0	67	62	58	15	43	10.34%	14	665	12.10	0	0	0	0	4	0	0	0	1	9	0	1	37.85%	251	13	8	0	0.48	0	0	0	0	0	2	1	1
12	Ethan Del Mastro	Hershey Bears (WSH)	D	55	2	14	16	20	17	5	80	75	49	24	22	4.08%	52	1220	22.20	1	1	2	8	95	0	0	0	2	93	0	0	0%	0	9	33	0	0.26	0	0	0	1	0	1	1	1
13	Simon Nemec	Hershey Bears (WSH)	D	55	2	10	12	13	29	5	26	43	43	16	20	4.65%	45	840	15.28	1	0	1	4	31	0	0	0	1	45	0	1	0%	0	8	26	0	0.29	0	0	0	0	0	0	0	0
14	Josh Mahura	Hershey Bears (WSH)	D	50	0	11	11	25	14	10	49	63	41	19	24	0%	49	936	18.72	0	1	1	3	85	0	1	1	1	77	0	0	0%	0	13	24	0	0.24	0	0	1	0	1	0	0	0
15	Dennis Gilbert	Hershey Bears (WSH)	D	50	0	9	9	12	94	40	87	56	36	15	16	0%	40	826	16.52	0	1	1	1	21	0	0	0	2	20	0	0	0%	0	12	23	0	0.22	0	0	4	2	2	0	0	0
16	Marc McLaughlin	Hershey Bears (WSH)	C/RW	55	3	3	6	1	0	0	48	43	56	21	33	5.36%	13	534	9.72	0	0	0	0	0	0	0	0	0	0	1	1	38.46%	13	6	6	0	0.22	0	0	0	0	0	1	0	0
17	Hunter Brzustewicz	Hershey Bears (WSH)	D	55	1	4	5	4	27	25	33	60	25	10	11	4.00%	31	836	15.21	1	0	1	2	41	0	0	0	0	45	1	0	0%	0	4	15	0	0.12	0	0	3	0	2	0	0	1
18	Adam Boqvist	Hershey Bears (WSH)	D	22	0	5	5	1	5	5	10	19	28	18	18	0%	27	430	19.57	0	1	1	2	41	0	0	0	1	45	0	0	0%	0	7	12	0	0.23	0	0	0	1	0	0	0	0
19	Charles-Alexis Legault	Hershey Bears (WSH)	D	5	0	2	2	2	0	0	5	4	1	1	0	0%	2	72	14.52	0	0	0	0	0	0	0	0	0	4	0	0	0%	0	0	0	0	0.55	0	0	0	0	0	0	0	0
20	Kyle Capobianco	Hershey Bears (WSH)	D	33	0	0	0	-3	23	15	16	9	3	2	3	0%	5	281	8.54	0	0	0	0	0	0	0	0	0	2	0	0	0%	0	1	4	0	0	0	0	1	1	1	0	0	0
21	Akil Thomas	Hershey Bears (WSH)	C/LW/RW	11	0	0	0	0	0	0	0	1	0	0	0	0%	0	11	1.08	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				990	213	345	558	242	725	335	1202	1187	1812	597	1044	11.75%	558	16383	16.55	37	57	94	143	1009	4	7	11	30	795	34	20	49.80%	2970	334	317	3	0.68	3	14	25	17	23	33	34	35

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	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ludovic Waeber	Hershey Bears (WSH)	29	18	7	1	0.908	3.04	1600	1	81	878	467	1	0	0.333	3	26	29	1	1	0
2	Collin Delia	Hershey Bears (WSH)	30	16	7	6	0.895	3.06	1726	1	88	841	504	1	2	0.333	12	29	26	2	0	1
Team Total or Average			59	34	14	7	0.902	3.05	3327	2	169	1719	971	2	2		15	55	55	3	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	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	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
Adam Boqvist (Out of Payroll)	Hershey Bears (WSH)	D	25	2000-08-15	SWE	No	191 Lbs	6 ft0	No	No	N/A		No	No	2	False	False	Pro & Farm	775,000$	0$	0$	Yes	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Akil Thomas	Hershey Bears (WSH)	C/LW/RW	26	2000-01-02	USA	No	195 Lbs	6 ft0	No	No	N/A		No	No	3	False	False	Pro & Farm	775,000$	77,500$	28,659$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Alex Steeves	Hershey Bears (WSH)	C/LW	26	1999-12-10	USA	No	202 Lbs	6 ft0	No	No	N/A		No	No	3	False	False	Pro & Farm	850,000$	85,000$	31,432$	No	850,000$	850,000$	-	-	-	-	-	-	-	850,000$	850,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Beck Malenstyn	Hershey Bears (WSH)	LW/RW	28	1998-02-04	CAN	No	209 Lbs	6 ft3	No	No	N/A		No	No	2	False	False	Pro & Farm	1,350,000$	135,000$	49,922$	No	1,350,000$	-	-	-	-	-	-	-	-	1,350,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Cale Morris	Hershey Bears (WSH)	G	29	1996-05-22	USA	No	190 Lbs	6 ft1	No	No	N/A		No	No	0	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Charles-Alexis Legault	Hershey Bears (WSH)	D	22	2003-09-05	CAN	Yes	208 Lbs	6 ft3	No	No	N/A		No	No	1	False	False	Pro & Farm	915,833$	91,583$	33,867$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Collin Delia	Hershey Bears (WSH)	G	31	1994-06-20	USA	No	200 Lbs	6 ft2	No	No	N/A		No	No	2	False	False	Pro & Farm	775,000$	77,500$	28,659$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dennis Gilbert	Hershey Bears (WSH)	D	29	1996-10-30	USA	No	216 Lbs	6 ft2	No	No	N/A		No	No	1	False	False	Pro & Farm	762,500$	76,250$	28,197$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Drake Caggiula	Hershey Bears (WSH)	LW	31	1994-06-20	CAN	No	179 Lbs	5 ft10	No	No	N/A		No	No	2	False	False	Pro & Farm	775,000$	77,500$	28,659$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ethan Del Mastro	Hershey Bears (WSH)	D	23	2003-01-15	CAN	Yes	210 Lbs	6 ft4	No	No	N/A		No	No	2	False	False	Pro & Farm	900,000$	90,000$	33,281$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Filip Hallander	Hershey Bears (WSH)	C/LW	25	2000-06-29	SWE	No	188 Lbs	6 ft2	No	No	N/A		No	No	1	False	False	Pro & Farm	775,000$	77,500$	28,659$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Hunter Brzustewicz	Hershey Bears (WSH)	D	21	2004-11-29	USA	Yes	190 Lbs	6 ft0	No	No	N/A		No	No	1	False	False	Pro & Farm	950,000$	95,000$	35,130$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Jakub Lauko	Hershey Bears (WSH)	C/LW/RW	25	2000-03-28	CZE	No	193 Lbs	6 ft1	No	No	N/A		No	No	2	False	False	Pro & Farm	787,500$	78,750$	29,121$	No	787,500$	-	-	-	-	-	-	-	-	787,500$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jett Jones	Hershey Bears (WSH)	C/LW/RW	23	2002-08-27	CAN	Yes	212 Lbs	6 ft3	No	No	N/A		No	No	0	False	False	Pro & Farm		0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jiri Kulich	Hershey Bears (WSH)	C/RW	21	2004-04-14	CZE	Yes	190 Lbs	6 ft1	No	No	Trade	2025-09-16	No	No	1	False	False	Pro & Farm	1,500,000$	150,000$	55,469$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Joey Anderson	Hershey Bears (WSH)	LW/RW	27	1998-06-19	USA	No	207 Lbs	6 ft0	No	No	N/A		No	No	3	False	False	Pro & Farm	800,000$	80,000$	29,583$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Josh Mahura	Hershey Bears (WSH)	D	27	1998-05-05	CAN	No	193 Lbs	6 ft0	No	No	N/A		No	No	1	False	False	Pro & Farm	907,500$	90,750$	33,559$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kyle Capobianco	Hershey Bears (WSH)	D	28	1997-08-13	CAN	No	198 Lbs	6 ft3	No	No	N/A		No	No	3	False	False	Pro & Farm	775,000$	77,500$	28,659$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Lucas Carlsson	Hershey Bears (WSH)	D	28	1997-07-05	SWE	No	190 Lbs	6 ft0	No	No	N/A		No	No	2	False	False	Pro & Farm	800,000$	80,000$	29,583$	No	800,000$	-	-	-	-	-	-	-	-	800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ludovic Waeber	Hershey Bears (WSH)	G	29	1996-08-19	SUI	No	175 Lbs	6 ft1	No	No	N/A		No	No	2	False	False	Pro & Farm	750,000$	75,000$	27,734$	No	750,000$	-	-	-	-	-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Lukas Cormier	Hershey Bears (WSH)	D	23	2002-03-27	CAN	Yes	185 Lbs	5 ft11	No	No	N/A		No	No	1	False	False	Pro & Farm	1,000,000$	100,000$	36,979$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Marc McLaughlin	Hershey Bears (WSH)	C/RW	26	1999-07-26	USA	No	202 Lbs	6 ft0	No	No	N/A		No	No	3	False	False	Pro & Farm	775,000$	77,500$	28,659$	No	775,000$	775,000$	-	-	-	-	-	-	-	775,000$	775,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Matthew Highmore	Hershey Bears (WSH)	C/RW	29	1996-02-27	CAN	No	186 Lbs	5 ft11	No	No	N/A		No	No	1	False	False	Pro & Farm	775,000$	77,500$	28,659$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Maxime Comtois	Hershey Bears (WSH)	LW	26	1999-08-01	CAN	No	214 Lbs	6 ft2	No	No	N/A		No	No	1	False	False	Pro & Farm	750,000$	75,000$	27,734$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Oliver Wahlstrom	Hershey Bears (WSH)	LW/RW	25	2000-06-13	USA	No	211 Lbs	6 ft2	No	No	N/A		No	No	1	False	False	Pro & Farm	874,125$	87,412$	32,324$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Otto Stenberg	Hershey Bears (WSH)	C/LW	20	2005-05-29	SWE	Yes	180 Lbs	5 ft11	No	No	N/A		No	No	2	False	False	Pro & Farm	918,333$	91,833$	33,959$	No	918,333$	-	-	-	-	-	-	-	-	918,333$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Philipp Kurashev	Hershey Bears (WSH)	C/LW/RW	26	1999-10-12	SUI	No	190 Lbs	6 ft0	No	No	N/A		No	No	2	False	False	Pro & Farm	2,250,000$	225,000$	83,203$	No	2,250,000$	-	-	-	-	-	-	-	-	2,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Simon Nemec	Hershey Bears (WSH)	D	22	2004-02-15	SVK	No	190 Lbs	6 ft1	No	No	Trade	2025-09-16	No	No	1	False	False	Pro & Farm	1,500,000$	150,000$	55,469$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Vinni Lettieri	Hershey Bears (WSH)	C/RW	31	1995-02-06	USA	No	184 Lbs	5 ft10	No	No	N/A		No	No	2	False	False	Pro & Farm	775,000$	77,500$	28,659$	No	775,000$	-	-	-	-	-	-	-	-	775,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Xavier Bouchard	Hershey Bears (WSH)	D	25	2000-02-28	CAN	Yes	198 Lbs	6 ft5	No	No	N/A		No	No	1	False	False	Pro & Farm	750,000$	75,000$	27,734$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	25.90	196 Lbs	6 ft1	1.63	876,360$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jakub Lauko	Jiri Kulich	Philipp Kurashev	30	1	2	2
2	Drake Caggiula	Alex Steeves	Vinni Lettieri	30	1	2	2
3	Joey Anderson	Jakub Lauko	Oliver Wahlstrom	25	1	2	2
4	Jiri Kulich	Matthew Highmore	Marc McLaughlin	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ethan Del Mastro	Simon Nemec	30	1	2	2
2	Kyle Capobianco	Lucas Carlsson	30	1	2	2
3	Ethan Del Mastro	Hunter Brzustewicz	25	1	2	2
4	Hunter Brzustewicz	Lucas Carlsson	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jiri Kulich	Joey Anderson	Philipp Kurashev	50	1	2	2
2	Drake Caggiula	Alex Steeves	Vinni Lettieri	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Hunter Brzustewicz	Lucas Carlsson	50	1	2	2
2	Ethan Del Mastro	Simon Nemec	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Philipp Kurashev	Joey Anderson	50	1	2	2
2	Drake Caggiula	Alex Steeves	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Lucas Carlsson	Ethan Del Mastro	50	1	2	2
2	Simon Nemec	Hunter Brzustewicz	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Drake Caggiula	50	1	2	2	Ethan Del Mastro	Kyle Capobianco	50	1	2	2
2	Philipp Kurashev	50	1	2	2	Simon Nemec	Hunter Brzustewicz	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Philipp Kurashev	Joey Anderson	50	1	2	2
2	Drake Caggiula	Alex Steeves	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Hunter Brzustewicz	Simon Nemec	50	1	2	2
2	Kyle Capobianco	Ethan Del Mastro	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Steeves	Jiri Kulich	Philipp Kurashev	Ethan Del Mastro	Lucas Carlsson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Alex Steeves	Jiri Kulich	Philipp Kurashev	Ethan Del Mastro	Lucas Carlsson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Joey Anderson, Jakub Lauko, Oliver Wahlstrom	Joey Anderson, Jakub Lauko	Oliver Wahlstrom

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Ethan Del Mastro, Kyle Capobianco, Hunter Brzustewicz	Hunter Brzustewicz	Ethan Del Mastro, Hunter Brzustewicz

Penalty Shots
Joey Anderson, Jakub Lauko, Drake Caggiula, Alex Steeves, Philipp Kurashev

Goalie
#1 : Collin Delia, #2 : Ludovic Waeber

Custom OT Lines Forwards
Jiri Kulich, Alex Steeves, Drake Caggiula, Philipp Kurashev, Joey Anderson, Jakub Lauko, Jakub Lauko, Oliver Wahlstrom , Marc McLaughlin, Vinni Lettieri, Matthew Highmore

Custom OT Lines Defensemen
Kyle Capobianco, Simon Nemec, Ethan Del Mastro, Lucas Carlsson, Hunter Brzustewicz

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	Alberta Fire	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	45	78	88	5	33	511	702	586	27	35	16	8	29	4	1	25.00%	4	1	75.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
2	Cape Breton Roaring Moose	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	2	4	0	1	45	78	88	5	25	511	702	586	27	15	6	0	20	2	1	50.00%	0	0	0%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
3	Capital District Islanders	6	5	1	0	0	0	0	0	27	14	13	2	2	0	0	0	0	0	0	13	4	9	4	3	1	0	0	0	0	0	14	10	4	10	0.833	27	47	74	0	0	45	78	88	5	207	511	702	586	27	229	67	96	116	14	5	35.71%	18	6	66.67%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
4	Charlestown Chiefs	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	45	78	88	5	18	511	702	586	27	27	7	11	16	1	1	100.00%	3	0	100.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
5	Charlotte Checkers	5	5	0	0	0	0	0	0	19	9	10	3	3	0	0	0	0	0	0	10	4	6	2	2	0	0	0	0	0	0	9	5	4	10	1.000	19	31	50	0	1	45	78	88	5	177	511	702	586	27	143	30	80	94	11	2	18.18%	15	2	86.67%	1	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
6	Flint Admirals	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	4	2	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	4	8	0	0	45	78	88	5	31	511	702	586	27	24	9	15	16	1	1	100.00%	0	0	0%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
7	Florida Everblades	3	2	1	0	0	0	0	0	16	12	4	2	1	1	0	0	0	0	0	11	8	3	1	1	0	0	0	0	0	0	5	4	1	4	0.667	16	24	40	0	0	45	78	88	5	125	511	702	586	27	127	37	51	68	14	7	50.00%	8	2	75.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
8	Green Bay Lumberjacks	1	1	0	0	0	0	0	0	6	4	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	6	4	2	2	1.000	6	10	16	0	0	45	78	88	5	33	511	702	586	27	49	20	6	29	1	1	100.00%	3	1	66.67%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
9	Hartford Wolf Pack	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	2	1.000	3	5	8	0	0	45	78	88	5	23	511	702	586	27	12	4	2	29	2	1	50.00%	1	0	100.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
10	Henderson Silver Knights	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	4	7	0	0	45	78	88	5	31	511	702	586	27	21	8	4	28	1	1	100.00%	2	0	100.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
11	Indianapolis Knights	2	1	0	0	0	0	0	1	8	7	1	1	1	0	0	0	0	0	0	4	2	2	1	0	0	0	0	0	0	1	4	5	-1	3	0.750	8	13	21	0	0	45	78	88	5	70	511	702	586	27	62	22	8	49	10	2	20.00%	4	0	100.00%	1	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
12	Laval Rocket	1	1	0	0	0	0	0	0	5	1	4	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	5	1	4	2	1.000	5	8	13	0	0	45	78	88	5	26	511	702	586	27	26	2	4	32	5	2	40.00%	2	1	50.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
13	Manitoba Moose	2	0	2	0	0	0	0	0	4	11	-7	1	0	1	0	0	0	0	0	1	5	-4	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	4	6	10	0	0	45	78	88	5	54	511	702	586	27	75	22	76	35	3	0	0.00%	8	5	37.50%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
14	Milwaukee Admirals	1	0	0	0	0	0	0	1	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	1	2	-1	1	0.500	1	2	3	0	0	45	78	88	5	24	511	702	586	27	19	6	2	18	1	0	0.00%	1	0	100.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
15	Minnesota Duluth Lakers	1	0	0	0	0	0	0	1	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1	2	3	-1	1	0.500	2	3	5	0	0	45	78	88	5	19	511	702	586	27	22	11	11	17	1	1	100.00%	3	1	66.67%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
16	Naples Stingrays	4	4	0	0	0	0	0	0	22	13	9	3	3	0	0	0	0	0	0	17	10	7	1	1	0	0	0	0	0	0	5	3	2	8	1.000	22	37	59	0	0	45	78	88	5	152	511	702	586	27	121	37	28	87	14	4	28.57%	9	5	44.44%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
17	Oklahoma City Barons	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	45	78	88	5	25	511	702	586	27	10	2	4	25	3	1	33.33%	2	1	50.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
18	Phoenix Coyotes	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	10	15	0	0	45	78	88	5	67	511	702	586	27	75	33	25	42	4	0	0.00%	10	2	80.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
19	Portland Wild Cats	2	0	1	0	1	0	0	0	5	5	0	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.500	5	7	12	1	0	45	78	88	5	48	511	702	586	27	36	12	7	48	1	0	0.00%	1	1	0.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
20	Providence Bruins	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	4	6	-2	0	0.000	4	7	11	1	0	45	78	88	5	32	511	702	586	27	42	11	4	12	3	1	33.33%	2	0	100.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
21	Salt Lake City Lynx	2	1	1	0	0	0	0	0	10	9	1	1	1	0	0	0	0	0	0	7	4	3	1	0	1	0	0	0	0	0	3	5	-2	2	0.500	10	17	27	0	0	45	78	88	5	80	511	702	586	27	47	15	15	51	2	0	0.00%	5	3	40.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
22	San Antonio Rampage	2	1	1	0	0	0	0	0	7	7	0	1	1	0	0	0	0	0	0	6	2	4	1	0	1	0	0	0	0	0	1	5	-4	2	0.500	7	13	20	0	0	45	78	88	5	74	511	702	586	27	54	7	19	46	4	1	25.00%	2	1	50.00%	1	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
23	San Diego Gulls	2	1	1	0	0	0	0	0	6	8	-2	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	6	11	17	0	0	45	78	88	5	55	511	702	586	27	44	10	37	42	3	1	33.33%	6	2	66.67%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
24	Seattle Thunderbirds	1	0	0	0	0	0	0	1	3	4	-1	1	0	0	0	0	0	0	1	3	4	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	3	4	7	0	0	45	78	88	5	36	511	702	586	27	46	9	41	20	2	0	0.00%	3	2	33.33%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
25	Springfield Bulldogs	4	1	1	0	1	1	0	0	18	14	4	3	1	1	0	1	0	0	0	15	10	5	1	0	0	0	0	1	0	0	3	4	-1	5	0.625	18	25	43	0	0	45	78	88	5	163	511	702	586	27	156	69	93	85	13	1	7.69%	9	0	100.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
26	Texas Stars	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	45	78	88	5	23	511	702	586	27	23	13	4	27	3	0	0.00%	2	1	50.00%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
27	Tucson Roadrunners	4	2	1	0	0	1	0	0	19	21	-2	2	1	0	0	0	1	0	0	9	8	1	2	1	1	0	0	0	0	0	10	13	-3	5	0.625	19	30	49	0	0	45	78	88	5	124	511	702	586	27	147	59	64	97	10	1	10.00%	12	7	41.67%	1	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
28	Utica Comets	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	45	78	88	5	37	511	702	586	27	34	14	10	24	2	1	50.00%	0	0	0%	0	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
	Total	55	32	14	0	2	2	0	5	213	176	37	29	20	4	0	2	1	0	2	124	81	43	26	12	10	0	0	1	0	3	89	95	-6	75	0.682	213	345	558	2	2	45	78	88	5	1812	511	702	586	27	1721	558	725	1202	135	37	27.41%	135	44	67.41%	4	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
	_Since Last GM Reset	55	32	14	0	2	2	0	5	213	176	37	29	20	4	0	2	1	0	2	124	81	43	26	12	10	0	0	1	0	3	89	95	-6	75	0.682	213	345	558	2	2	45	78	88	5	1812	511	702	586	27	1721	558	725	1202	135	37	27.41%	135	44	67.41%	4	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
	_Vs Conference	35	25	7	0	1	2	0	0	149	103	46	19	15	2	0	1	1	0	0	88	49	39	16	10	5	0	0	1	0	0	61	54	7	54	0.771	149	240	389	1	2	45	78	88	5	1203	511	702	586	27	1179	387	481	743	98	28	28.57%	93	26	72.04%	2	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
	_Vs Division	11	20	5	0	1	2	0	0	33	36	-3	6	12	2	0	1	1	0	0	22	16	6	5	8	3	0	0	1	0	0	11	20	-9	44	2.000	33	52	85	1	0	45	78	88	5	333	511	702	586	27	270	73	135	254	19	6	31.58%	20	8	60.00%	1	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
55	75	L1	213	345	558	1812	1721	558	725	1202	2	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
55	32	14	2	2	0	5	213	176

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
29	20	4	2	1	0	2	124	81

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	12	10	0	1	0	3	89	95

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	3	0	0	0	1

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
135	37	27.41%	135	44	67.41%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
511	702	586	27	45	78	88	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
538	1065	50.52%	521	1084	48.06%	420	797	52.70%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1102	534	1036	553	1190	601

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	Springfield Bulldogs	1	Hershey Bears	6	W			BoxScore
4	26	Hershey Bears	4	Capital District Islanders	2	W			BoxScore
6	36	Charlotte Checkers	0	Hershey Bears	3	W			BoxScore
8	52	Hershey Bears	1	Phoenix Coyotes	3	L			BoxScore
11	79	Tucson Roadrunners	3	Hershey Bears	5	W			BoxScore
14	98	Capital District Islanders	3	Hershey Bears	5	W			BoxScore
16	115	Hershey Bears	2	Capital District Islanders	4	L			BoxScore
17	124	Hershey Bears	6	Charlotte Checkers	3	W			BoxScore
20	143	Naples Stingrays	4	Hershey Bears	7	W			BoxScore
22	160	Hershey Bears	3	Springfield Bulldogs	4	L	X		BoxScore
24	174	Charlotte Checkers	1	Hershey Bears	3	W			BoxScore
27	192	Hershey Bears	5	Florida Everblades	4	W			BoxScore
28	199	Hershey Bears	6	Tucson Roadrunners	5	W			BoxScore
30	216	Phoenix Coyotes	2	Hershey Bears	4	W			BoxScore
33	239	Florida Everblades	4	Hershey Bears	9	W			BoxScore
36	258	Springfield Bulldogs	6	Hershey Bears	5	L			BoxScore
38	281	Hershey Bears	4	Indianapolis Knights	5	L	X	X	BoxScore
40	293	San Antonio Rampage	2	Hershey Bears	6	W			BoxScore
42	307	Hershey Bears	4	Capital District Islanders	2	W			BoxScore
45	326	Salt Lake City Lynx	4	Hershey Bears	7	W			BoxScore
47	340	Hershey Bears	3	Salt Lake City Lynx	5	L			BoxScore
49	358	Utica Comets	3	Hershey Bears	4	W			BoxScore
53	385	Florida Everblades	4	Hershey Bears	2	L			BoxScore
55	404	Hershey Bears	2	Alberta Fire	4	L			BoxScore
57	417	Henderson Silver Knights	4	Hershey Bears	3	L	X	X	BoxScore
58	427	Hershey Bears	5	Naples Stingrays	3	W			BoxScore
61	448	Portland Wild Cats	2	Hershey Bears	3	W	X		BoxScore
63	462	Hershey Bears	3	Manitoba Moose	6	L			BoxScore
65	476	Hershey Bears	4	Capital District Islanders	2	W			BoxScore
66	488	Texas Stars	4	Hershey Bears	2	L			BoxScore
69	511	Hershey Bears	6	Green Bay Lumberjacks	4	W			BoxScore
70	519	Indianapolis Knights	2	Hershey Bears	4	W			BoxScore
72	536	Hershey Bears	5	Laval Rocket	1	W			BoxScore
74	553	Cape Breton Roaring Moose	0	Hershey Bears	2	W			BoxScore
78	577	Hershey Bears	3	Oklahoma City Barons	2	W			BoxScore
79	584	Capital District Islanders	1	Hershey Bears	8	W			BoxScore
82	609	Hershey Bears	2	Portland Wild Cats	3	L			BoxScore
83	617	Springfield Bulldogs	3	Hershey Bears	4	W	X		BoxScore
86	640	Hershey Bears	4	Providence Bruins	6	L			BoxScore
87	650	Naples Stingrays	4	Hershey Bears	5	W			BoxScore
90	674	Hershey Bears	3	San Diego Gulls	6	L			BoxScore
91	680	Naples Stingrays	2	Hershey Bears	5	W			BoxScore
94	704	Hershey Bears	1	Milwaukee Admirals	2	L	X	X	BoxScore
95	713	Tucson Roadrunners	5	Hershey Bears	4	L	X		BoxScore
98	736	Hershey Bears	2	Minnesota Duluth Lakers	3	L	X	X	BoxScore
99	744	Hartford Wolf Pack	1	Hershey Bears	3	W			BoxScore
103	774	Manitoba Moose	5	Hershey Bears	1	L			BoxScore
106	791	Hershey Bears	3	Charlestown Chiefs	1	W			BoxScore
108	803	Seattle Thunderbirds	4	Hershey Bears	3	L	X	X	BoxScore
112	834	Charlotte Checkers	3	Hershey Bears	4	W			BoxScore
114	851	Hershey Bears	3	Charlotte Checkers	2	W			BoxScore
115	864	Flint Admirals	2	Hershey Bears	4	W			BoxScore
118	882	Hershey Bears	4	Tucson Roadrunners	8	L			BoxScore
119	896	San Diego Gulls	2	Hershey Bears	3	W			BoxScore
121	909	Hershey Bears	1	San Antonio Rampage	5	L			BoxScore
123	927	Charlotte Checkers	-	Hershey Bears	-
129	961	Oklahoma City Barons	-	Hershey Bears	-
131	978	Hershey Bears	-	Texas Stars	-
133	989	Hershey Bears	-	Charlotte Checkers	-
134	995	Grand Rapids Griffins	-	Hershey Bears	-
137	1015	Hershey Bears	-	Springfield Bulldogs	-
138	1027	Mississauga Wolves	-	Hershey Bears	-
140	1043	Hershey Bears	-	Tucson Roadrunners	-
143	1059	Milwaukee Admirals	-	Hershey Bears	-
147	1085	Hershey Bears	-	Springfield Bulldogs	-
148	1090	Green Bay Lumberjacks	-	Hershey Bears	-
Trade Deadline --- Trades can’t be done after this day is simulated!
153	1122	Tofino Whalers	-	Hershey Bears	-
156	1145	Hershey Bears	-	Grand Rapids Griffins	-
158	1155	Capital District Islanders	-	Hershey Bears	-
161	1183	Hershey Bears	-	Naples Stingrays	-
162	1187	Tucson Roadrunners	-	Hershey Bears	-
165	1210	Hershey Bears	-	Tofino Whalers	-
166	1219	Minnesota Duluth Lakers	-	Hershey Bears	-
171	1249	Florida Everblades	-	Hershey Bears	-
172	1261	Hershey Bears	-	Florida Everblades	-
176	1279	Hershey Bears	-	Naples Stingrays	-
177	1281	Hershey Bears	-	Phoenix Coyotes	-
178	1287	Phoenix Coyotes	-	Hershey Bears	-
180	1295	Hershey Bears	-	Florida Everblades	-
183	1313	Hershey Bears	-	Phoenix Coyotes	-
184	1314	Phoenix Coyotes	-	Hershey Bears	-
185	1315	Hershey Bears	-	Henderson Silver Knights	-
186	1317	Hershey Bears	-	Utica Comets	-
187	1318	Hershey Bears	-	Seattle Thunderbirds	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	40	20
Attendance	57,338	25,291
Attendance PCT	98.86%	87.21%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
13	2849 - 94.98%	135,141$	3,919,076$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
1,819,197$	2,629,078$	2,629,078$	250,000$0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
2,551,578$	1,817,988$	27	1

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,756,827$	71	14,995$	1,064,645$

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
1	Max Comtois	306	108	121	229	22	491	721	427	758	14.25%	121	5932	19.39	39	36	75	81	3	0	3	14	20	10	42.37%	1	0.77	5	15
2	Drake Caggiula	345	89	123	212	14	272	605	448	740	12.03%	134	5765	16.71	18	38	56	61	5	3	8	22	17	7	37.68%	0	0.74	6	27
3	Joey Anderson	285	85	107	192	18	63	397	418	619	13.73%	121	5341	18.74	21	43	64	61	2	5	7	18	13	9	39.98%	2	0.72	9	30
4	Vinni Lettieri	349	65	105	170	44	131	466	393	565	11.50%	109	4505	12.91	12	18	30	36	0	1	1	0	8	5	50.67%	1	0.75	1	2
5	Gabriel Vilardi	150	55	73	128	28	37	173	244	312	17.63%	43	2694	17.96	15	17	32	33	2	0	2	8	8	3	52.68%	0	0.95	1	6

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
1	Kevin Lankinen	87	51	28	6	0.897	2.48	5122	4	7	212	2067	1191	8	1	0.727	22
2	Spencer Knight	94	51	33	7	0.911	2.42	5460	8	8	220	2472	1429	5	3	0.685	54
3	Ludovic Waeber	85	46	27	7	0.908	2.87	4909	0	5	235	2568	1412	5	0	0.677	31
4	Collin Delia	73	37	20	10	0.895	2.78	4075	2	2	189	1796	1041	7	2	0.464	28
5	Pat Nagle	48	30	11	5	0.887	2.58	2790	0	2	120	1066	573	2	1	0.091	11

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
Regular Season
2020	76	35	22	0	8	4	4	3	230	200	30	38	15	13	0	5	1	2	2	110	106	4	38	20	9	0	3	3	2	1	120	94	26	101	230	383	613	1	3	44	93	81	23	1880	490	688	680	45	1751	623	837	1940	188	57	30.32%	182	47	74.18%	2	585	1291	45.31%	604	1275	47.37%	450	975	46.15%	1540	724	1383	768	1683	857
2022	76	36	24	0	7	2	4	3	218	193	25	38	17	14	0	4	1	1	1	112	107	5	38	19	10	0	3	1	3	2	106	86	20	99	218	332	550	1	6	50	71	86	13	1685	447	553	659	52	1887	629	578	1555	162	54	33.33%	176	51	71.02%	8	483	1100	43.91%	582	1297	44.87%	415	927	44.77%	1449	644	1441	777	1710	880
2023	76	31	29	0	3	2	6	5	190	182	8	38	17	14	0	1	0	5	1	101	83	18	38	14	15	0	2	2	1	4	89	99	-10	87	190	290	480	3	6	44	67	70	15	1707	420	597	666	61	1982	677	950	1636	192	63	32.81%	198	58	70.71%	4	601	1218	49.34%	650	1380	47.10%	442	877	50.40%	1461	634	1425	777	1733	904
2024	78	31	27	0	2	4	10	4	239	233	6	39	13	15	0	1	2	7	1	112	117	-5	39	18	12	0	1	2	3	3	127	116	11	94	239	385	624	0	5	57	82	88	22	2743	780	996	947	62	2490	826	979	2403	189	62	32.80%	207	81	60.87%	4	854	1635	52.23%	738	1553	47.52%	531	1068	49.72%	1722	917	1468	737	1563	798
2025	55	32	14	0	2	2	0	5	213	176	37	29	20	4	0	2	1	0	2	124	81	43	26	12	10	0	0	1	0	3	89	95	-6	75	213	345	558	2	2	45	78	88	5	1812	511	702	586	27	1721	558	725	1202	135	37	27.41%	135	44	67.41%	4	538	1065	50.52%	521	1084	48.06%	420	797	52.70%	1102	534	1036	553	1190	601
Total Regular Season	361	165	116	0	22	14	24	20	1090	984	106	182	82	60	0	13	5	15	7	559	494	65	179	83	56	0	9	9	9	13	531	490	41	456	1090	1735	2825	7	22	240	391	413	78	9827	2648	3536	3538	247	9831	3313	4069	8736	866	273	31.52%	898	281	68.71%	22	3061	6309	48.52%	3095	6589	46.97%	2258	4644	48.62%	7277	3455	6756	3614	7880	4042
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

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: 55 \| W: 34 \| L: 14 \| OTL: 7 \| P: 75 GF: 213 \| GA: 176 \| PP%: 27.41% \| PK%: 67.41% GM : Dany \| Morale : 96 \| Team Overall : 60 Next Games #927 vs Charlotte Checkers