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

Game Center
	Phantoms 7-4-0, 14pts	3	FINAL	0	Bears 1-4-0, 2pts

Team Stats
W1	Streak	L4
4-2-0	Home Record	0-2-0
3-2-0	Home Record	1-2-0
7-3-0	Last 10 Games	1-4-0
2.00	Goals Per Game	1.20
1.64	Goals Against Per Game	2.60
14.75%	Power Play Percentage	0.00%
97.06%	Penalty Kill Percentage	85.71%

Bears
1-4-0, 2pts

FINAL

Phantoms
7-4-0, 14pts

Team Stats
L4	Streak	W1
0-2-0	Home Record	4-2-0
1-2-0	Home Record	3-2-0
1-4-0	Last 10 Games	7-3-0
1.20	Goals Per Game	2.00
2.60	Goals Against Per Game	1.64
0.00%	Power Play Percentage	14.75%
85.71%	Penalty Kill Percentage	97.06%

Team Leaders
	Goals Axel Jonsson-Fjallby 2	Assists Ben Harpur 2

	Points Axel Jonsson-Fjallby 2	Plus/Minus Samuel Laberge 2

	Wins Chris Driedger 1	Save Percentage Chris Driedger 0.915

Team Stats
Goals For 6 1.20 GFG	Shots For 85 17.00 Avg	Power Play Percentage 0.0% 0 GF	Offensive Zone Start 34.7%
Goals Against 13 2.60 GAA	Shots Against 146 29.20 Avg	Penalty Kill Percentage 85.7%% 3 GA	Defensive Zone Start 47.5%

Team Info
	General Manager	Cédrick Soucy
	Coach	Todd Nelson
	Division	Metropolitan
	Conference	Eastern Conference
	Captain	Dylan McIlrath
	Assistant #1	Liam Foudy
	Assistant #2	Gabriel Carlsson
Arena Info
	Capacity	3,000
	Attendance	3,000
	Season Tickets	300
Roster Info
	Pro Team	26
	Farm Team	19
	Contract Limit	45 / 250
	Prospects	32

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	Axel Jonsson-Fjallby	0		X			100.00	65	38	95	66	75	77	83	64	59	62	67	63	66	65	67	0	40	63	0	26	1	925,000$
2	Riley Barber	0			X		100.00	64	38	82	65	75	89	83	66	65	61	64	60	65	69	71	0	40	62	0	30	2	925,000$
3	Chris Wagner	0			X		100.00	84	40	73	60	73	88	83	59	65	58	59	67	56	74	75	0	40	61	0	33	1	925,000$
4	Tanner Kero	0	X		X		100.00	61	38	87	62	71	78	82	64	77	65	58	61	60	71	73	0	40	61	0	32	1	925,000$
5	Brett Leason	0			X		100.00	58	39	92	61	93	76	83	63	58	57	61	56	64	63	65	0	40	60	0	25	3	925,000$
6	Adam Klapka (R)	0			X		100.00	90	57	66	59	99	81	70	56	60	57	58	63	55	63	65	0	40	60	0	23	3	925,000$
7	Samuel Laberge	0		X			100.00	73	43	70	56	82	71	78	55	59	56	57	58	56	66	68	0	40	58	0	27	1	925,000$
8	Ben Harpur	0				X	100.00	86	53	73	62	99	80	75	59	30	65	58	64	49	68	70	0	40	62	0	29	1	925,000$
9	Dylan McIlrath (C)	0				X	100.00	85	82	63	60	96	76	86	61	30	65	58	60	49	71	75	0	40	62	0	32	2	925,000$
10	Gabriel Carlsson (A)	0				X	100.00	74	41	84	63	88	76	79	62	30	66	60	67	51	66	68	0	40	62	0	27	3	925,000$
11	Vincent Iorio (R)	0				X	100.00	72	39	95	62	86	80	72	63	30	68	58	61	50	61	63	0	40	61	0	21	3	925,000$
12	Andreas Englund	0				X	100.00	80	53	62	60	81	78	82	59	30	61	58	64	49	67	69	0	40	60	0	28	2	925,000$
Scratches
1	Jordan Greenway	0		X	X		100.00	83	77	75	68	99	84	83	66	57	65	63	69	65	68	70	0	40	65	0	27	2	3,000,000$
2	Liam Foudy (A)	0	X				100.00	64	36	95	72	78	80	77	67	63	61	62	69	65	62	63	0	40	63	0	24	2	925,000$
3	Justin Dowling	0	X				100.00	57	36	93	65	68	87	77	63	82	67	60	61	65	73	75	0	40	62	0	33	1	925,000$
4	Ryan Dzingel	0	X				100.00	62	42	73	70	74	81	69	67	72	62	63	59	66	73	74	0	40	62	0	32	1	925,000$
5	Beck Malenstyn	0		X			100.00	82	40	87	62	83	76	84	57	56	58	59	63	56	65	66	0	40	61	0	26	2	925,000$
6	Hunter McKown (R)	0	X				100.00	62	36	79	62	78	80	61	59	73	60	50	58	55	60	61	0	40	57	0	21	3	925,000$
7	Carter Savoie (R)	0		X			100.00	59	38	86	54	68	76	68	53	54	51	55	52	54	61	63	0	40	55	0	22	3	925,000$
8	Lucas Johansen	0				X	100.00	64	37	92	67	76	77	79	65	30	68	58	62	50	66	68	0	40	62	0	26	3	925,000$
9	Ben Gleason	0				X	100.00	64	39	77	59	73	72	86	58	30	63	55	57	48	65	67	0	40	59	0	26	3	925,000$
10	Keaton Middleton	0				X	100.00	90	49	60	55	99	71	82	54	30	58	53	63	46	65	67	0	40	59	0	26	2	925,000$
11	William Villeneuve (R)	0				X	100.00	63	39	81	60	72	66	69	56	30	61	53	55	46	61	63	0	40	57	0	22	3	925,000$

	TEAM AVERAGE						100.00	71	45	80	62	82	78	78	61	51	62	59	61	56	66	68	0	40	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	Chris Driedger	0	100.00	78	61	60	88	77	76	78	77	76	78	77	69	83	0	40	62	0	30	1	3,500,000$
2	Zach Fucale	0	100.00	75	65	67	78	74	73	75	74	73	75	74	68	81	0	40	61	0	29	2	1,250,000$
3	Hugo Alnefelt	0	100.00	71	64	65	76	70	69	71	70	69	71	70	62	67	0	40	58	0	23	3	925,000$
Scratches

	TEAM AVERAGE		100.00	75	63	64	81	74	73	75	74	73	75	74	66	77	0	40	60

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Todd Nelson	65	72	68	73	81	76	69	CAN	53	2	300,000$

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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPS	PPM	PKM	GW	GT	FO%	FOT	P/20	S2	S3
1	Axel Jonsson-Fjallby	Bears (WSH)	LW	5	2	0	2	-2	4	3	0	10	3	7	20.00%	1	71	14.24	2	13	3	1	0	75.00%	4	0.56	0	0
2	Ben Harpur	Bears (WSH)	D	5	0	2	2	2	10	17	2	5	1	4	0%	4	124	24.88	1	11	9	0	0	0%	0	0.32	1	0
3	Gabriel Carlsson	Bears (WSH)	D	5	0	2	2	-4	4	8	3	7	2	3	0%	11	118	23.76	4	11	14	0	0	0%	0	0.34	0	0
4	Tanner Kero	Bears (WSH)	C/RW	5	1	1	2	0	2	6	8	10	3	8	10.00%	0	92	18.44	0	11	0	0	0	43.75%	32	0.43	0	0
5	Vincent Iorio	Bears (WSH)	D	5	0	2	2	-4	0	3	6	6	0	7	0%	4	119	23.93	4	14	17	0	0	0%	0	0.33	0	0
6	Andreas Englund	Bears (WSH)	D	5	0	1	1	0	8	10	3	1	2	3	0%	6	86	17.39	1	3	6	0	0	0%	0	0.23	0	0
7	Brett Leason	Bears (WSH)	RW	5	0	1	1	0	0	5	7	12	1	4	0%	1	61	12.39	0	0	0	0	0	0%	0	0.32	0	0
8	Chris Wagner	Bears (WSH)	RW	5	0	1	1	2	4	2	2	2	0	3	0%	0	25	5.17	0	0	0	0	0	100.00%	1	0.77	0	0
9	Dylan McIlrath	Bears (WSH)	D	5	1	0	1	-1	6	17	4	10	1	3	10.00%	4	114	22.93	5	12	14	0	1	0%	0	0.17	0	1
10	Riley Barber	Bears (WSH)	RW	5	1	0	1	-3	4	14	12	14	6	8	7.14%	0	102	20.51	5	13	0	0	0	0%	5	0.20	0	0
11	Samuel Laberge	Bears (WSH)	LW	5	1	0	1	2	0	2	2	2	2	3	50.00%	0	25	5.18	0	0	0	0	0	50.00%	2	0.77	0	0
Team Total or Average				55	6	10	16	-8	42	87	49	79	21	53	7.59%	31	944	17.17	22	92	66	1	1	43.18%	44	0.34	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	PCT	GAA	MP	GA	SA	EG	PS %	ST	BG	S1	S3
1	Chris Driedger	Bears (WSH)	5	1	4	0.915	2.49	289	12	141	1	0	5	0	1	1
2	Zach Fucale	Bears (WSH)	1	0	0	1.000	0	10	0	4	0	0	0	5	0	0
Team Total or Average			6	1	4	0.917	2.41	299	12	145	1		5	5	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	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 Klapka	Bears (WSH)	RW	23	1999-09-14	Yes	235 Lbs	6 ft8	No	No	N/A		No	No	3	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Andreas Englund	Bears (WSH)	D	28	1995-01-21	No	189 Lbs	6 ft3	No	No	N/A		No	No	2	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Axel Jonsson-Fjallby	Bears (WSH)	LW	26	1997-02-10	No	189 Lbs	6 ft1	No	No	N/A		No	No	1	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Beck Malenstyn	Bears (WSH)	LW	26	1997-02-04	No	200 Lbs	6 ft3	No	No	N/A		No	No	2	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Ben Gleason	Bears (WSH)	D	26	1997-03-25	No	180 Lbs	6 ft1	No	No	N/A		No	No	3	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Ben Harpur	Bears (WSH)	D	29	1994-01-12	No	231 Lbs	6 ft6	No	No	N/A		No	No	1	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Brett Leason	Bears (WSH)	RW	25	1998-04-30	No	218 Lbs	6 ft5	No	No	N/A		No	No	3	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Carter Savoie	Bears (WSH)	LW	22	2001-01-23	Yes	192 Lbs	5 ft9	No	No	N/A		No	No	3	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Chris Driedger	Bears (WSH)	G	30	1993-05-18	No	208 Lbs	6 ft4	No	No	Trade	2024-01-27	No	No	1	False	False	Pro & Farm	3,500,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Chris Wagner	Bears (WSH)	RW	33	1990-05-27	No	192 Lbs	6 ft0	No	No	N/A		No	No	1	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Dylan McIlrath	Bears (WSH)	D	32	1991-04-20	No	232 Lbs	6 ft5	No	No	N/A		No	No	2	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Gabriel Carlsson	Bears (WSH)	D	27	1996-01-02	No	195 Lbs	6 ft5	No	No	N/A		No	No	3	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Hugo Alnefelt	Bears (WSH)	G	23	2000-06-04	No	177 Lbs	6 ft2	No	No	N/A		No	No	3	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Hunter McKown	Bears (WSH)	C	21	2001-08-18	Yes	205 Lbs	6 ft1	No	No	N/A		No	No	3	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jordan Greenway	Bears (WSH)	LW/RW	27	1996-02-16	No	231 Lbs	6 ft6	No	No	N/A		No	No	2	False	False	Pro & Farm	3,000,000$	0$	0$	No	3,000,000$	-	-	-	-	-	-	-	-	3,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Justin Dowling	Bears (WSH)	C	33	1989-10-01	No	180 Lbs	5 ft10	No	No	N/A		No	No	1	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Keaton Middleton	Bears (WSH)	D	26	1997-02-10	No	240 Lbs	6 ft6	No	No	N/A		No	No	2	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Liam Foudy	Bears (WSH)	C	24	1999-02-04	No	188 Lbs	6 ft2	No	No	N/A		No	No	2	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Lucas Johansen	Bears (WSH)	D	26	1996-11-16	No	176 Lbs	6 ft2	No	No	N/A		No	No	3	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Riley Barber	Bears (WSH)	RW	30	1993-02-07	No	199 Lbs	6 ft0	No	No	N/A		No	No	2	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	-	-	-	-	-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Ryan Dzingel	Bears (WSH)	C	32	1991-03-09	No	190 Lbs	6 ft0	No	No	N/A		No	No	1	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Samuel Laberge	Bears (WSH)	LW	27	1996-04-10	No	206 Lbs	6 ft2	No	No	N/A		No	No	1	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Tanner Kero	Bears (WSH)	C/RW	32	1991-07-24	No	185 Lbs	6 ft0	No	No	N/A		No	No	1	False	False	Pro & Farm	925,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Vincent Iorio	Bears (WSH)	D	21	2001-11-14	Yes	200 Lbs	6 ft4	No	No	N/A		No	No	3	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
William Villeneuve	Bears (WSH)	D	22	2001-03-20	Yes	175 Lbs	6 ft1	No	No	N/A		No	No	3	False	False	Pro & Farm	925,000$	0$	0$	No	925,000$	925,000$	-	-	-	-	-	-	-	925,000$	925,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Zach Fucale	Bears (WSH)	G	29	1994-05-28	No	189 Lbs	6 ft2	No	No	N/A		No	No	2	False	False	Pro & Farm	1,250,000$	0$	0$	No	1,250,000$	-	-	-	-	-	-	-	-	1,250,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
26	26.92	200 Lbs	6 ft2	2.08	1,116,346$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Riley Barber	40	1	2	2
2	Axel Jonsson-Fjallby		Tanner Kero	30	1	2	2
3	Samuel Laberge	Tanner Kero	Chris Wagner	20	1	2	2
4			Brett Leason	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Harpur	Dylan McIlrath	40	1	2	2
2	Gabriel Carlsson	Vincent Iorio	30	1	2	2
3	Andreas Englund	Ben Harpur	20	1	2	2
4	Dylan McIlrath	Gabriel Carlsson	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1			Riley Barber	60	1	2	2
2	Axel Jonsson-Fjallby		Tanner Kero	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Harpur	Dylan McIlrath	60	1	2	2
2	Gabriel Carlsson	Vincent Iorio	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Axel Jonsson-Fjallby	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Harpur	Dylan McIlrath	60	1	2	2
2	Gabriel Carlsson	Vincent Iorio	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	Ben Harpur	Dylan McIlrath	60	1	2	2
2		40	1	2	2	Gabriel Carlsson	Vincent Iorio	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2		Axel Jonsson-Fjallby	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Ben Harpur	Dylan McIlrath	60	1	2	2
2	Gabriel Carlsson	Vincent Iorio	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
		Riley Barber	Ben Harpur	Dylan McIlrath

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
		Riley Barber	Ben Harpur	Dylan McIlrath

Extra Forwards
Normal	PowerPlay	Penalty Kill
, Tanner Kero, Chris Wagner	, Tanner Kero

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Gabriel Carlsson, Vincent Iorio, Andreas Englund	Gabriel Carlsson	Gabriel Carlsson, Vincent Iorio

Penalty Shots
, Axel Jonsson-Fjallby, , Riley Barber,

Goalie
#1 : Chris Driedger, #2 : Zach Fucale

Custom OT Lines Forwards
, Axel Jonsson-Fjallby, , Riley Barber, , Tanner Kero, Tanner Kero, Chris Wagner, Brett Leason, Adam Klapka, Samuel Laberge

Custom OT Lines Defensemen
Ben Harpur, Dylan McIlrath, Gabriel Carlsson, Vincent Iorio, Andreas Englund

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	Phantoms	5	1	4	0	0	0	0	0	6	13	-7	2	0	2	0	0	0	0	0	2	7	-5	3	1	2	0	0	0	0	0	4	6	-2	2	0.200	6	10	16	1	0	2	3	1	0	85	25	37	23	0	146	33	44	89	16	0	0.00%	21	3	85.71%	0	26	119	21.85%	31	163	19.02%	10	61	16.39%	102	71	141	33	56	26
	Total	5	1	4	0	0	0	0	0	6	13	-7	2	0	2	0	0	0	0	0	2	7	-5	3	1	2	0	0	0	0	0	4	6	-2	2	0.200	6	10	16	1	0	2	3	1	0	85	25	37	23	0	146	33	44	89	16	0	0.00%	21	3	85.71%	0	26	119	21.85%	31	163	19.02%	10	61	16.39%	102	71	141	33	56	26
	_Since Last GM Reset	5	1	4	0	0	0	0	0	6	13	-7	2	0	2	0	0	0	0	0	2	7	-5	3	1	2	0	0	0	0	0	4	6	-2	2	0.200	6	10	16	1	0	2	3	1	0	85	25	37	23	0	146	33	44	89	16	0	0.00%	21	3	85.71%	0	26	119	21.85%	31	163	19.02%	10	61	16.39%	102	71	141	33	56	26
	_Vs Conference	5	1	4	0	0	0	0	0	6	13	-7	2	0	2	0	0	0	0	0	2	7	-5	3	1	2	0	0	0	0	0	4	6	-2	2	0.200	6	10	16	1	0	2	3	1	0	85	25	37	23	0	146	33	44	89	16	0	0.00%	21	3	85.71%	0	26	119	21.85%	31	163	19.02%	10	61	16.39%	102	71	141	33	56	26
	_Vs Division	5	1	4	0	0	0	0	0	6	13	-7	2	0	2	0	0	0	0	0	2	7	-5	3	1	2	0	0	0	0	0	4	6	-2	2	0.200	6	10	16	1	0	2	3	1	0	85	25	37	23	0	146	33	44	89	16	0	0.00%	21	3	85.71%	0	26	119	21.85%	31	163	19.02%	10	61	16.39%	102	71	141	33	56	26

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
5	2	L4	6	10	16	85	146	33	44	89	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
5	1	4	0	0	0	0	6	13

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	2	0	0	0	0	2	7

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	4	6

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	4	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
16	0	0.00%	21	3	85.71%	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
25	37	23	0	2	3	1	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
26	119	21.85%	31	163	19.02%	10	61	16.39%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
102	71	141	33	56	26

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
1 - 2024-04-20	3	Bears	3	Phantoms	1	W	BoxScore
3 - 2024-04-22	11	Bears	0	Phantoms	2	L	BoxScore
5 - 2024-04-24	19	Phantoms	4	Bears	2	L	BoxScore
7 - 2024-04-26	27	Phantoms	3	Bears	0	L	BoxScore
9 - 2024-04-28	35	Bears	1	Phantoms	3	L	BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	2000	1000
Ticket Price	35	15
Attendance	4,000	2,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	3000 - 100.00%	85,000$	170,000$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
0$	2,902,500$	2,902,500$	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$	2	0$	0$

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

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

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

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

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

	Bears
	GP: 5 \| W: 1 \| L: 4 GF: 6 \| GA: 13 \| PP%: 0.00% \| PK%: 85.71% GM : Cédrick Soucy \| Morale : 40 \| Team Overall : 61