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#	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
1	Connor McMichael	X	X			100.00	76	69	92	77	69	78	82	63	79	60	60	67	57	53	54	66	40	64	0
2	Aliaksei Protas	X	X	X		100.00	69	43	92	72	75	59	88	65	38	65	58	69	25	55	55	65	40	63	0
3	Michael Sgarbossa	X				100.00	72	68	82	79	68	67	67	66	80	65	64	64	61	45	45	67	40	63	0
4	Ethen Frank (R)	X				100.00	74	67	89	65	67	66	67	65	80	58	69	64	66	44	44	67	40	61	0
5	Joakim Kemell (R)			X		100.00	72	66	85	66	66	53	50	66	50	62	67	64	64	44	44	66	40	60	0
6	Peter Abbandonato	X				100.00	77	69	94	65	69	63	64	62	78	63	56	65	53	44	44	63	40	60	0
7	Jeffrey Viel		X			100.00	61	71	37	67	71	70	73	60	50	54	61	58	58	48	48	60	40	58	0
8	Nate Thompson	X	X			100.00	70	75	59	69	75	60	63	52	65	47	45	68	43	79	83	54	40	58	0
9	Danick Martel		X			100.00	70	64	83	63	64	51	50	58	50	56	54	63	51	55	55	58	40	57	0
10	Shawn Element (R)	X				100.00	64	70	50	69	70	61	63	55	69	47	58	57	55	44	44	57	40	56	0
11	Jeremy McKenna			X		100.00	71	62	91	62	62	51	50	59	50	55	58	61	55	44	44	60	40	56	0
12	Bokondji Imama (R)		X			100.00	69	80	42	66	80	68	73	50	50	49	47	58	45	44	44	53	40	55	0
13	Henrik Rybinski (R)	X		X		100.00	72	65	88	65	65	63	66	52	65	53	47	60	45	44	44	56	40	55	0
14	Vincent Iorio (R)				X	100.00	82	77	94	65	77	73	79	50	25	46	40	65	38	44	44	55	40	61	0
15	Jeremy Davies				X	100.00	65	66	62	68	66	73	79	53	25	39	51	57	48	46	46	56	40	58	0
16	Noel Hoefenmayer (R)				X	100.00	65	70	53	65	70	72	76	58	25	50	51	58	48	44	44	57	40	58	0
17	Lucas Johansen (R)				X	100.00	74	66	91	69	66	64	69	46	25	37	40	60	38	44	44	52	40	57	0
18	Jeremy Groleau (R)				X	100.00	75	69	89	61	69	60	64	48	25	39	41	61	39	44	44	52	40	56	0
Scratches
1	Riley Sutter (R)			X		100.00	76	76	77	63	76	65	70	48	50	44	46	61	44	44	44	54	40	54	0
2	Patrick Sieloff (R)				X	S2	74	75	71	67	75	67	73	47	25	39	39	60	37	44	44	52	40	58	0
3	Frederic Allard				X	100.00	69	66	76	61	66	60	64	47	25	36	41	59	39	51	51	50	40	55	0

	TEAM AVERAGE					100.00	71	68	76	67	70	64	68	56	49	51	52	62	48	48	48	58	40	58

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Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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8	`?`	Wildcard for a single, non-space character.
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#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Daniil Isayev	100.00	83	78	73	71	82	81	90	94	85	84	84	60	60	80	40	78	0
2	Mitchell Gibson (R)	100.00	59	67	66	71	55	58	62	67	58	58	59	62	62	75	40	61	0
Scratches

	TEAM AVERAGE	100.00	71	73	70	71	69	70	76	81	72	71	72	61	61	78	40	70

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Connor McMichael	Bears (WSH)	C/LW	14	14	26	40	20	11	5	16	24	60	13	35	23.33%	15	362	25.86	2	12	14	9	42	2	0	2	7	86	1	3	55.31%	367	47	12	0	3	2.21	0	1	0	1	0	2	4	0
2	Joakim Kemell	Bears (WSH)	RW	14	26	14	40	15	8	0	18	17	57	19	30	45.61%	4	201	14.41	17	5	22	20	44	0	0	0	0	0	4	1	44.44%	18	36	4	1	5	3.96	0	0	0	0	0	6	1	1
3	Aliaksei Protas	Bears (WSH)	C/LW/RW	14	8	22	30	17	0	0	9	39	51	14	30	15.69%	15	308	22.06	2	13	15	8	44	1	1	2	5	96	0	0	20.00%	15	23	19	0	0	1.94	1	1	0	0	0	1	1	4
4	Ethen Frank	Bears (WSH)	C	14	22	1	23	19	0	0	17	33	67	19	55	32.84%	6	215	15.41	0	0	0	0	0	2	1	3	4	34	3	1	54.72%	159	19	7	0	3	2.13	0	0	0	0	0	2	1	2
5	Michael Sgarbossa	Bears (WSH)	C	14	12	10	22	5	2	0	15	38	67	18	49	17.91%	13	277	19.83	7	3	10	21	43	1	2	3	4	34	1	0	50.38%	262	44	11	0	1	1.59	0	2	0	0	0	1	1	1
6	Jeffrey Viel	Bears (WSH)	LW	14	1	12	13	1	131	75	17	12	32	17	28	3.13%	7	200	14.32	0	8	8	9	38	0	0	0	0	0	0	0	66.67%	12	26	5	0	0	1.30	0	0	0	6	8	0	0	0
7	Henrik Rybinski	Bears (WSH)	C/RW	14	0	13	13	16	2	0	9	12	13	12	15	0.00%	7	172	12.29	0	0	0	0	0	0	0	0	0	0	0	0	40.00%	5	17	2	0	0	1.51	0	0	0	0	0	0	0	0
8	Vincent Iorio	Bears (WSH)	D	14	0	12	12	14	141	95	19	28	12	9	6	0.00%	23	303	21.70	0	5	5	4	37	0	0	0	0	58	0	0	0.00%	0	4	31	0	0	0.79	0	0	3	4	12	0	0	0
9	Jeremy McKenna	Bears (WSH)	RW	14	6	5	11	2	0	0	14	15	35	11	18	17.14%	14	233	16.70	4	3	7	9	43	0	0	0	0	0	2	0	29.41%	17	12	6	0	0	0.94	0	0	0	0	0	0	0	1
10	Nate Thompson	Bears (WSH)	C/LW	14	0	10	10	14	107	65	12	15	18	13	17	0.00%	16	158	11.33	0	0	0	0	0	0	0	0	0	0	0	0	28.57%	7	11	11	0	0	1.26	0	0	5	4	4	0	0	0
11	Noel Hoefenmayer	Bears (WSH)	D	14	1	7	8	18	52	10	27	17	13	6	7	7.69%	18	362	25.88	1	2	3	4	46	0	2	2	0	56	0	0	0.00%	0	5	17	0	0	0.44	0	0	2	0	0	0	0	0
12	Jeremy Davies	Bears (WSH)	D	14	3	4	7	15	15	5	14	21	19	7	9	15.79%	25	304	21.72	1	2	3	2	41	0	0	0	0	48	0	0	0.00%	0	5	10	0	0	0.46	0	0	0	1	0	0	0	0
13	Peter Abbandonato	Bears (WSH)	C	14	4	3	7	2	0	0	4	15	11	4	4	36.36%	10	97	6.93	0	0	0	0	0	0	1	1	0	19	0	0	48.44%	64	14	3	0	0	1.44	0	0	0	0	0	0	0	1
14	Lucas Johansen	Bears (WSH)	D	14	0	3	3	10	0	0	7	11	9	10	5	0.00%	18	203	14.52	0	2	2	0	8	0	0	0	0	4	0	0	0.00%	0	3	12	0	0	0.30	0	0	0	0	0	0	0	0
15	Jeremy Groleau	Bears (WSH)	D	14	0	3	3	9	23	15	5	8	3	6	3	0.00%	12	186	13.30	0	0	0	0	1	0	0	0	0	40	0	0	0.00%	0	2	9	0	0	0.32	0	0	0	0	3	0	0	0
16	Danick Martel	Bears (WSH)	LW	14	0	3	3	2	4	0	7	4	7	4	4	0.00%	3	72	5.17	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	3	6	0	0	0.83	0	0	0	0	0	0	0	0
17	Shawn Element	Bears (WSH)	C	14	1	0	1	4	36	30	2	3	9	2	3	11.11%	1	60	4.31	0	0	0	0	7	0	0	0	0	1	0	0	33.33%	9	3	1	0	0	0.33	0	0	2	2	2	0	0	0
18	Bokondji Imama	Bears (WSH)	LW	14	0	0	0	0	6	0	2	1	2	0	1	0.00%	0	21	1.52	0	0	0	0	1	0	0	0	0	9	0	0	0.00%	0	0	2	0	0	0.00	0	0	0	0	0	0	0	0
19	Patrick Sieloff	Bears (WSH)	D	1	0	0	0	-1	25	15	1	1	0	0	0	0.00%	1	9	9.65	0	0	0	0	1	0	0	0	0	1	0	0	0.00%	0	0	0	0	0	0.00	0	0	2	1	0	0	0	0
Team Total or Average				253	98	148	246	182	563	315	215	314	485	184	319	20.21%	208	3751	14.83	34	55	89	86	401	6	7	13	20	492	11	5	51.82%	936	274	168	1	12	1.31	1	4	14	19	29	12	8	10

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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`)
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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	Daniil Isayev	Bears (WSH)	14	12	2	0	0.945	2.27	845	0	0	32	581	328	6	1	1.000	3	14	0	0	3	1
Team Total or Average			14	12	2	0	0.945	2.27	845	0	0	32	581	328	6	1	1.000	3	14	0	0	3	1

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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	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Aliaksei Protas	C/LW/RW	22	2001-01-06	No	190 Lbs	6 ft5	No	No	No	2	ELC	Farm Only	888,333$	0$	0$	No	Link
Bokondji Imama	LW	27	1996-08-02	Yes	214 Lbs	6 ft1	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Connor McMichael	C/LW	22	2001-01-15	No	182 Lbs	5 ft11	No	No	No	2	ELC	Farm Only	863,333$	0$	0$	No	Link
Danick Martel	LW	28	1994-12-12	No	184 Lbs	5 ft9	No	No	No	1	UFA	Farm Only	500,000$	0$	0$	No	Link
Daniil Isayev	G	24	1999-01-07 4:24:13 PM	No	180 Lbs	6 ft5	No	No	No	1	RFA	Farm Only		0$	0$	No
Ethen Frank	C	25	1998-02-05	Yes	185 Lbs	5 ft11	No	No	No	1	RFA	Farm Only	500,000$	0$	0$	No	Link
Frederic Allard	D	25	1997-12-27	No	179 Lbs	6 ft1	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Henrik Rybinski	C/RW	22	2001-06-26	Yes	172 Lbs	6 ft1	No	No	No	1	ELC	Farm Only	500,000$	0$	0$	No	Link
Jeffrey Viel	LW	26	1997-01-28	No	195 Lbs	6 ft0	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Jeremy Davies	D	26	1996-12-04	No	181 Lbs	5 ft11	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Jeremy Groleau	D	23	1999-10-25	Yes	183 Lbs	6 ft2	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Jeremy McKenna	RW	24	1999-04-20	No	174 Lbs	5 ft10	No	No	No	1	RFA	Farm Only	500,000$	0$	0$	No	Link
Joakim Kemell	RW	19	2004-04-27	Yes	185 Lbs	5 ft10	No	No	No	3	ELC	Farm Only	1,450,000$	0$	0$	No	Link
Lucas Johansen	D	25	1997-11-16	Yes	176 Lbs	6 ft1	No	No	No	2	RFA	Farm Only	762,500$	0$	0$	No	Link
Michael Sgarbossa	C	31	1992-07-25	No	185 Lbs	6 ft0	No	No	No	1	UFA	Farm Only	750,000$	0$	0$	No	Link
Mitchell Gibson	G	24	1999-06-25 4:10:26 PM	Yes	180 Lbs	6 ft5	No	No	No	1	RFA	Farm Only		0$	0$	No
Nate Thompson	C/LW	38	1984-10-05	No	205 Lbs	6 ft1	No	No	No	1	UFA	Farm Only	500,000$	0$	0$	No	Link
Noel Hoefenmayer	D	24	1999-01-06	Yes	192 Lbs	6 ft0	No	No	No	1	RFA	Farm Only	500,000$	0$	0$	No	Link
Patrick Sieloff	D	29	1994-05-15	Yes	205 Lbs	6 ft1	No	No	No	1	UFA	Farm Only	500,000$	0$	0$	No	Link
Peter Abbandonato	C	25	1998-03-25	No	194 Lbs	5 ft11	No	No	No	1	RFA	Farm Only	500,000$	0$	0$	No	Link
Riley Sutter	RW	23	1999-10-25	Yes	203 Lbs	6 ft3	No	No	No	1	RFA	Farm Only		0$	0$	No	Link
Shawn Element	C	23	2000-04-23	Yes	192 Lbs	6 ft0	No	No	No	1	RFA	Farm Only	500,000$	0$	0$	No	Link
Vincent Iorio	D	20	2002-11-14	Yes	200 Lbs	6 ft4	No	No	No	3	ELC	Farm Only	894,167$	0$	0$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	25.00	189 Lbs	6 ft1	1.30	439,493$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Aliaksei Protas	Connor McMichael	Joakim Kemell	40	1	2	2
2	Jeffrey Viel	Michael Sgarbossa	Jeremy McKenna	30	1	2	2
3	Nate Thompson	Ethen Frank	Henrik Rybinski	20	1	2	2
4	Danick Martel	Peter Abbandonato	Connor McMichael	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vincent Iorio	Noel Hoefenmayer	40	1	2	2
2		Jeremy Davies	30	1	2	2
3	Lucas Johansen	Jeremy Groleau	20	1	2	2
4	Vincent Iorio	Noel Hoefenmayer	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Aliaksei Protas	Connor McMichael	Joakim Kemell	60	1	2	2
2	Jeffrey Viel	Michael Sgarbossa	Jeremy McKenna	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vincent Iorio	Noel Hoefenmayer	60	1	2	2
2		Jeremy Davies	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Connor McMichael	Aliaksei Protas	60	1	2	2
2	Michael Sgarbossa	Ethen Frank	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vincent Iorio	Noel Hoefenmayer	60	1	2	2
2		Jeremy Davies	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Connor McMichael	60	1	2	2	Vincent Iorio	Noel Hoefenmayer	60	1	2	2
2	Aliaksei Protas	40	1	2	2		Jeremy Davies	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Connor McMichael	Aliaksei Protas	60	1	2	2
2	Michael Sgarbossa	Ethen Frank	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Vincent Iorio	Noel Hoefenmayer	60	1	2	2
2		Jeremy Davies	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Aliaksei Protas	Connor McMichael	Joakim Kemell	Vincent Iorio	Noel Hoefenmayer

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Aliaksei Protas	Connor McMichael	Joakim Kemell	Vincent Iorio	Noel Hoefenmayer

Extra Forwards
Normal	PowerPlay	Penalty Kill
Shawn Element, Bokondji Imama, Peter Abbandonato	Shawn Element, Bokondji Imama	Peter Abbandonato

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Lucas Johansen, Jeremy Groleau,	Lucas Johansen	Jeremy Groleau,

Penalty Shots
Connor McMichael, Aliaksei Protas, Michael Sgarbossa, Ethen Frank, Peter Abbandonato

Goalie
#1 : Daniil Isayev, #2 : Mitchell Gibson

Custom OT Lines Forwards
Connor McMichael, Aliaksei Protas, Michael Sgarbossa, Ethen Frank, Peter Abbandonato, Joakim Kemell, Joakim Kemell, Jeffrey Viel, Nate Thompson, Danick Martel, Shawn Element

Custom OT Lines Defensemen
Vincent Iorio, Noel Hoefenmayer, , Jeremy Davies, Lucas Johansen

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			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
14	24	L1	99	148	247	485	582	210	573	215	1	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
14	10	2	1	0	1	0	99	33

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	6	0	1	0	0	0	60	13

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
7	4	2	0	0	1	0	39	20

Last 10 Games
W	L	OTW	OTL	SOW	SOL
7	2	1	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
70	34	48.57%	81	10	87.65%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
163	167	148	10	37	37	23	2

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
153	290	52.76%	204	386	52.85%	128	252	50.79%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
289	181	348	121	208	101

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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`)
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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.
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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
Trade Deadline --- Trades can’t be done after this day is simulated!
2 - 2023-09-29	14	Islanders	1	Bears	9	W			BoxScore
4 - 2023-10-01	33	Phantoms	4	Bears	8	W			BoxScore
5 - 2023-10-02	44	Bears	5	Wolf Pack	1	W			BoxScore
7 - 2023-10-04	59	Bears	7	Islanders	6	W	X	X	BoxScore
8 - 2023-10-05	78	Wolves	1	Bears	10	W			BoxScore
10 - 2023-10-07	90	Bears	10	Monsters	4	W			BoxScore
11 - 2023-10-08	108	Penguins	1	Bears	10	W			BoxScore
14 - 2023-10-11	124	Bears	6	Penguins	1	W			BoxScore
16 - 2023-10-13	146	Bears	9	Wolves	2	W			BoxScore
18 - 2023-10-15	155	Monsters	1	Bears	14	W			BoxScore
20 - 2023-10-17	172	Wolf Pack	2	Bears	3	W	X		BoxScore
21 - 2023-10-18	185	Bears	1	Comets	3	L			BoxScore
23 - 2023-10-20	201	Comets	3	Bears	6	W			BoxScore
24 - 2023-10-21	208	Bears	1	Phantoms	3	L			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena 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	Arena Capacity	Team Popularity
0	0 - 0.00%	0$	0$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
0$	1,010,833$	1,010,833$	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$	0	0$	0$

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	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
6	14	10	2	0	1	0	1	0	99	33	66	7	6	0	0	1	0	0	0	60	13	47	7	4	2	0	0	0	1	0	39	20	19	24	99	148	247	1	0	37	37	23	2	485	163	167	148	10	582	210	573	215	70	34	48.57%	81	10	87.65%	6	153	290	52.76%	204	386	52.85%	128	252	50.79%	289	181	348	121	208	101
Total Regular Season	14	10	2	0	1	0	1	0	99	33	66	7	6	0	0	1	0	0	0	60	13	47	7	4	2	0	0	0	1	0	39	20	19	24	99	148	247	1	0	37	37	23	2	485	163	167	148	10	582	210	573	215	70	34	48.57%	81	10	87.65%	6	153	290	52.76%	204	386	52.85%	128	252	50.79%	289	181	348	121	208	101