NHLS - National Hockey League Simulated

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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
1	Ryan Greene (R)	X	X	X		100.00	65	35	95	71	76	87	90	68	75	67	64	76	65	62	64	69	75	66	0
2	Carl Grundstrom		X	X		100.00	81	38	87	69	74	82	83	65	56	64	62	63	59	71	70	56	75	65	0
3	Liam O'Brien	X	X	X		100.00	88	79	62	64	80	74	72	63	59	60	61	65	57	73	72	27	75	64	0
4	Ryan Lomberg		X	X		100.00	77	71	74	69	66	73	86	63	56	61	60	62	59	74	73	27	75	64	0
5	Avery Hayes (R)			X		100.00	67	39	71	66	68	87	82	65	62	57	68	59	64	65	67	42	75	63	0
6	Jake Lucchini	X	X			100.00	62	37	85	63	70	83	86	62	65	61	58	66	59	71	73	34	75	63	0
7	Kole Lind			X		100.00	67	43	66	64	76	86	87	63	66	62	60	61	64	68	70	63	75	63	0
8	Cole Schwindt	X		X		100.00	67	37	95	63	85	75	73	64	77	61	60	63	62	64	65	59	75	63	0
9	Jamie Engelbert (R)	X				100.00	78	40	77	59	87	71	86	58	62	55	60	61	59	66	68	42	75	62	0
10	Nikita Grebenkin		X	X		100.00	72	42	74	64	82	77	81	62	65	61	58	59	60	63	65	56	75	62	0
11	Mason Shaw	X	X			100.00	58	69	67	62	67	89	87	58	64	61	59	63	57	68	70	52	75	61	0
12	Marc McLaughlin	X				100.00	68	38	89	62	75	79	77	59	63	59	58	60	57	66	69	37	75	61	0
13	Jacob Bryson				X	100.00	60	33	94	68	65	81	78	63	30	69	54	63	49	71	69	50	75	63	0
14	Calle Rosen				X	100.00	66	38	88	62	75	78	85	58	30	63	57	59	49	72	74	27	75	62	0
15	Cal Foote				X	100.00	85	41	87	58	94	66	68	57	30	59	54	62	47	68	70	72	75	62	0
16	Jeremy Davies				X	100.00	59	39	74	63	68	79	87	61	30	67	56	58	49	70	72	39	75	62	0
17	Jake Christiansen				X	100.00	67	38	95	64	74	79	80	65	30	66	52	61	49	67	69	37	75	62	0
18	Michael Callahan				X	100.00	68	40	84	60	79	81	83	57	30	56	55	63	48	67	69	47	75	61	0
Scratches
1	Jansen Harkins	X	X			100.00	78	43	85	71	77	78	82	65	81	67	66	63	65	71	70	58	75	66	0
2	Bogdan Trineyev			X		100.00	70	39	87	55	83	82	84	56	53	57	58	62	56	64	66	58	75	61	0
3	Scott Sabourin			X		100.00	75	82	57	60	84	76	82	56	54	59	57	61	53	74	76	23	75	61	0
4	Vincent Arseneau		X			100.00	71	75	60	59	80	70	71	56	53	55	57	58	54	74	76	23	75	60	0
5	Miko Matikka (R)		X	X		100.00	72	39	92	56	81	69	74	55	58	54	53	57	56	63	65	66	75	59	0
6	Givani Smith		X	X		100.00	74	83	55	56	83	73	69	55	50	54	53	58	57	68	70	61	75	58	0
7	Josh Lopina	X		X		100.00	70	39	88	55	79	67	74	52	58	54	53	56	52	65	67	60	75	58	0
8	Calen Addison				X	100.00	58	39	76	63	67	72	84	58	30	64	54	56	48	66	68	67	75	60	0
9	Ty Nelson				X	100.00	59	38	83	63	68	81	85	59	30	62	56	57	48	62	64	67	75	60	0
10	Tobie Paquette-Bisson				X	100.00	73	39	91	57	82	65	80	55	30	56	53	58	46	69	71	36	75	60	0

	TEAM AVERAGE					100.00	70	47	80	62	77	77	81	60	52	60	58	61	55	68	69	48	75	62

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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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Mitchell Gibson	100.00	74	75	71	75	73	72	74	73	72	74	73	67	77	50	75	64	0
2	Garin Bjorklund	100.00	71	74	70	75	70	69	71	70	69	71	70	65	71	48	75	62	0
Scratches

	TEAM AVERAGE	100.00	73	75	71	75	72	71	73	72	71	73	72	66	74	49	75	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Daniel Alfredsson	69	72	73	66	79	74	70	SWE	53	2	800,000$

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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	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	FO%	FOT	P/20	S1	S2	S3
1	Ryan Greene	Bears (WSH)	C/LW/RW	3	1	3	4	2	0	2	18	13	5	10	7.69%	0	75	25.04	0	1	1	2	3	1	7	0	53.73%	67	1.06	0	0	2
2	Cal Foote	Bears (WSH)	D	3	1	2	3	1	2	11	2	4	1	0	25.00%	1	58	19.62	0	0	0	1	2	0	5	0	0.00%	0	1.02	0	1	0
3	Carl Grundstrom	Bears (WSH)	LW/RW	3	1	1	2	2	0	2	4	10	4	6	10.00%	1	57	19.28	1	0	1	1	3	2	7	0	50.00%	2	0.69	0	0	0
4	Liam O'Brien	Bears (WSH)	C/LW/RW	3	2	0	2	2	4	12	5	7	3	5	28.57%	0	53	17.78	0	0	0	0	3	0	3	1	33.33%	3	0.75	1	0	0
5	Avery Hayes	Bears (WSH)	RW	3	0	1	1	-1	4	2	4	7	1	3	0.00%	0	43	14.64	0	0	0	0	0	0	0	0	0.00%	1	0.46	0	0	0
6	Jake Lucchini	Bears (WSH)	C/LW	3	0	1	1	-2	0	1	9	9	2	9	0.00%	2	54	18.32	0	0	0	1	3	0	1	0	49.09%	55	0.36	0	0	0
7	Ryan Lomberg	Bears (WSH)	LW/RW	3	0	1	1	-2	2	8	11	6	1	8	0.00%	0	55	18.48	0	0	0	1	2	1	3	0	33.33%	6	0.36	0	0	0
8	Nikita Grebenkin	Bears (WSH)	LW/RW	3	0	1	1	-1	0	6	3	2	2	1	0.00%	0	43	14.66	0	0	0	0	0	0	0	0	33.33%	3	0.45	0	0	0
9	Cole Schwindt	Bears (WSH)	C/RW	3	1	0	1	-1	0	1	7	3	2	6	33.33%	0	46	15.56	0	0	0	0	0	0	3	0	55.56%	45	0.43	0	0	0
10	Jake Christiansen	Bears (WSH)	D	3	0	1	1	1	2	3	3	1	2	1	0.00%	3	59	19.84	0	0	0	1	3	0	6	0	0.00%	0	0.34	0	0	0
11	Calle Rosen	Bears (WSH)	D	3	0	0	0	0	0	7	2	3	0	2	0.00%	2	49	16.61	0	0	0	1	1	0	1	0	0.00%	0	0.00	0	0	0
12	Jacob Bryson	Bears (WSH)	D	3	0	0	0	-2	2	4	6	1	1	2	0.00%	2	70	23.47	0	0	0	0	4	0	6	0	0.00%	0	0.00	0	0	0
13	Jeremy Davies	Bears (WSH)	D	3	0	0	0	-2	0	3	2	1	1	1	0.00%	0	70	23.63	0	0	0	0	4	0	6	0	0.00%	0	0.00	0	0	0
14	Kole Lind	Bears (WSH)	RW	3	0	0	0	-2	0	2	2	6	1	7	0.00%	1	53	17.82	0	0	0	2	3	0	0	0	33.33%	3	0.00	0	0	0
15	Mason Shaw	Bears (WSH)	C/LW	3	0	0	0	0	0	0	0	3	1	0	0.00%	0	18	6.30	0	0	0	0	0	0	0	0	50.00%	2	0.00	0	0	0
16	Jamie Engelbert	Bears (WSH)	C	3	0	0	0	0	0	1	3	0	0	0	0.00%	0	18	6.09	0	0	0	0	0	0	0	0	35.29%	17	0.00	0	0	0
17	Marc McLaughlin	Bears (WSH)	C	3	0	0	0	0	0	0	2	0	1	0	0.00%	0	3	1.01	0	0	0	0	1	0	0	0	100.00%	1	0.00	0	0	0
18	Michael Callahan	Bears (WSH)	D	3	0	0	0	0	0	7	1	0	0	0	0.00%	0	50	16.81	0	0	0	0	0	0	2	0	0.00%	0	0.00	0	0	0
Team Total or Average				54	6	11	17	-5	16	72	84	76	28	61	7.89%	12	884	16.39	1	1	2	10	39	4	55	1	49.76%	205	0.38	1	1	2

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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

#	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	Mitchell Gibson	Bears (WSH)	3	1	2	0	0.873	2.35	179	0	0	7	55	0	0	0	0.000	0	3	0	0	0	0
Team Total or Average			3	1	2	0	0.873	2.35	179	0	0	7	55	0	0	0	0.000	0	3	0	0	0	0

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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
Avery Hayes	RW	25	2002-10-10	Yes	180 Lbs	5 ft10	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Bogdan Trineyev	RW	25	2002-03-04	No	198 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Cal Foote	D	29	1998-12-13	No	224 Lbs	6 ft5	No	No	Yes	3	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Calen Addison	D	27	2000-04-11	No	173 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Calle Rosen	D	33	1994-02-02	No	188 Lbs	6 ft1	No	No	Yes	1	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Carl Grundstrom	LW/RW	30	1997-12-01	No	200 Lbs	6 ft0	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Cole Schwindt	C/RW	26	2001-04-25	No	210 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	867,400$	0$	0$	No	Link / NHL Link
Garin Bjorklund	G	25	2002-05-28	No	174 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Givani Smith	LW/RW	29	1998-02-27	No	214 Lbs	6 ft2	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jacob Bryson	D	30	1997-11-18	No	177 Lbs	5 ft9	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jake Christiansen	D	28	1999-09-12	No	199 Lbs	6 ft0	No	No	Yes	1	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jake Lucchini	C/LW	32	1995-05-09	No	180 Lbs	6 ft0	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jamie Engelbert	C	27	2000-06-21	Yes	205 Lbs	6 ft4	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Jansen Harkins	C/LW	30	1997-05-23	No	197 Lbs	6 ft1	No	No	Yes	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Jeremy Davies	D	31	1996-12-04	No	180 Lbs	5 ft11	No	No	Yes	3	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Josh Lopina	C/RW	26	2001-02-16	No	195 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Kole Lind	RW	29	1998-10-16	No	193 Lbs	6 ft1	No	No	Yes	3	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Liam O'Brien	C/LW/RW	33	1994-07-29	No	215 Lbs	6 ft1	No	No	Yes	3	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Marc McLaughlin	C	28	1999-07-26	No	202 Lbs	6 ft0	No	No	Yes	3	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Mason Shaw	C/LW	29	1998-11-03	No	184 Lbs	5 ft10	No	No	Yes	3	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Michael Callahan	D	28	1999-09-23	No	195 Lbs	6 ft2	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Miko Matikka	LW/RW	24	2003-10-26	Yes	187 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Mitchell Gibson	G	28	1999-06-25	No	188 Lbs	6 ft1	No	No	Yes	2	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Nikita Grebenkin	LW/RW	24	2003-05-02	No	210 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Ryan Greene	C/LW/RW	24	2003-10-21	Yes	195 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Ryan Lomberg	LW/RW	33	1994-12-09	No	184 Lbs	5 ft9	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Scott Sabourin	RW	35	1992-07-30	No	205 Lbs	6 ft3	No	No	Yes	3	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Tobie Paquette-Bisson	D	30	1997-02-01	No	194 Lbs	6 ft3	No	No	Yes	2	UFA	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Ty Nelson	D	23	2004-03-30	No	195 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Vincent Arseneau	LW	35	1992-03-26	No	200 Lbs	6 ft2	No	No	Yes	2	UFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
30	28.53	195 Lbs	6 ft1	2.20	945,580$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Carl Grundstrom	Ryan Greene	Liam O'Brien	40	1	2	2
2	Ryan Lomberg	Jake Lucchini	Kole Lind	30	1	2	2
3	Nikita Grebenkin	Cole Schwindt	Avery Hayes	20	1	2	2
4	Mason Shaw	Jamie Engelbert	Ryan Greene	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Bryson	Jeremy Davies	40	1	2	2
2	Cal Foote	Jake Christiansen	30	1	2	2
3	Calle Rosen	Michael Callahan	20	1	2	2
4	Jacob Bryson	Jeremy Davies	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Carl Grundstrom	Ryan Greene	Liam O'Brien	60	1	2	2
2	Ryan Lomberg	Jake Lucchini	Kole Lind	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Bryson	Jeremy Davies	60	1	2	2
2	Cal Foote	Jake Christiansen	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Greene	Carl Grundstrom	60	1	2	2
2	Liam O'Brien	Ryan Lomberg	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Bryson	Jeremy Davies	60	1	2	2
2	Cal Foote	Jake Christiansen	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Ryan Greene	60	1	2	2	Jacob Bryson	Jeremy Davies	60	1	2	2
2	Carl Grundstrom	40	1	2	2	Cal Foote	Jake Christiansen	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Greene	Carl Grundstrom	60	1	2	2
2	Liam O'Brien	Ryan Lomberg	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jacob Bryson	Jeremy Davies	60	1	2	2
2	Cal Foote	Jake Christiansen	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Carl Grundstrom	Ryan Greene	Liam O'Brien	Jacob Bryson	Jeremy Davies

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Carl Grundstrom	Ryan Greene	Liam O'Brien	Jacob Bryson	Jeremy Davies

Extra Forwards
Normal	PowerPlay	Penalty Kill
Marc McLaughlin, Avery Hayes, Cole Schwindt	Marc McLaughlin, Avery Hayes	Cole Schwindt

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Calle Rosen, Michael Callahan, Cal Foote	Calle Rosen	Michael Callahan, Cal Foote

Penalty Shots
Ryan Greene, Carl Grundstrom, Liam O'Brien, Ryan Lomberg, Kole Lind

Goalie
#1 : Mitchell Gibson, #2 : Garin Bjorklund

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

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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
3	2	L2	6	11	17	76	55	12	16	72	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	2	0	0	0	0	6	7

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
1	0	1	0	0	0	0	1	2

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	2	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
5	1	20.00%	8	1	87.50%	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
30	21	25	0	4	2	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
42	84	50.00%	44	79	55.70%	16	42	38.10%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
69	47	69	23	41	20

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Day	Game	Visitor Team	Score	Home Team	Score	ST	Link
4 - 2026-10-02	18	Bears	3	Wolves	1	W	BoxScore
5 - 2026-10-03	28	Bears	2	Crunch	4	L	BoxScore
9 - 2026-10-07	54	Penguins	2	Bears	1	L	BoxScore
11 - 2026-10-09	68	Wolf Pack	-	Bears	-
13 - 2026-10-11	84	Firebirds	-	Bears	-
15 - 2026-10-13	93	Bears	-	Wolves	-
16 - 2026-10-14	106	Rocket	-	Bears	-
19 - 2026-10-17	121	Comets	-	Bears	-
22 - 2026-10-20	144	Reign	-	Bears	-
26 - 2026-10-24	171	Americans	-	Bears	-
30 - 2026-10-28	199	Phantoms	-	Bears	-
31 - 2026-10-29	210	Bears	-	Admirals	-
34 - 2026-11-01	228	Wild	-	Bears	-
36 - 2026-11-03	237	Stars	-	Bears	-
40 - 2026-11-07	265	Checkers	-	Bears	-
43 - 2026-11-10	289	Bears	-	Senators	-
45 - 2026-11-12	305	Bears	-	Comets	-
47 - 2026-11-14	320	Comets	-	Bears	-
50 - 2026-11-17	337	Bears	-	Crunch	-
52 - 2026-11-19	347	Americans	-	Bears	-
54 - 2026-11-21	363	Bears	-	Bruins	-
58 - 2026-11-25	393	Phantoms	-	Bears	-
60 - 2026-11-27	405	Checkers	-	Bears	-
61 - 2026-11-28	422	Bears	-	Thunderbirds	-
64 - 2026-12-01	439	Canucks	-	Bears	-
66 - 2026-12-03	456	Bears	-	Condors	-
68 - 2026-12-05	468	Bears	-	Wranglers	-
70 - 2026-12-07	485	Bears	-	Canucks	-
73 - 2026-12-10	508	Bears	-	Firebirds	-
75 - 2026-12-12	524	Bears	-	Eagles	-
78 - 2026-12-15	546	Bears	-	Stars	-
80 - 2026-12-17	554	Griffins	-	Bears	-
82 - 2026-12-19	573	Thunderbirds	-	Bears	-
84 - 2026-12-21	585	Bears	-	Marlies	-
89 - 2026-12-26	605	Monsters	-	Bears	-
91 - 2026-12-28	622	Condors	-	Bears	-
93 - 2026-12-30	637	Bears	-	Hammers	-
94 - 2026-12-31	643	Bears	-	Monsters	-
96 - 2027-01-02	662	Senators	-	Bears	-
98 - 2027-01-04	676	Marlies	-	Bears	-
100 - 2027-01-06	693	Bears	-	Reign	-
102 - 2027-01-08	708	Bears	-	Barracuda	-
104 - 2027-01-10	723	Bears	-	Gulls	-
106 - 2027-01-12	731	Silver Knights	-	Bears	-
108 - 2027-01-14	745	Wolves	-	Bears	-
110 - 2027-01-16	764	Eagles	-	Bears	-
112 - 2027-01-18	781	Bears	-	Penguins	-
113 - 2027-01-19	788	Rocket	-	Bears	-
116 - 2027-01-22	808	Hammers	-	Bears	-
118 - 2027-01-24	829	Bears	-	Comets	-
123 - 2027-01-29	863	Bears	-	Roadrunners	-
124 - 2027-01-30	877	Bears	-	Silver Knights	-
127 - 2027-02-02	884	Moose	-	Bears	-
128 - 2027-02-03	888	Bears	-	Checkers	-
138 - 2027-02-13	912	Bears	-	Rocket	-
139 - 2027-02-14	928	Roadrunners	-	Bears	-
141 - 2027-02-16	939	Gulls	-	Bears	-
144 - 2027-02-19	962	Barracuda	-	Bears	-
146 - 2027-02-21	981	Admirals	-	Bears	-
148 - 2027-02-23	993	Wolf Pack	-	Bears	-
150 - 2027-02-25	1007	Bears	-	Bruins	-
151 - 2027-02-26	1014	Bears	-	Wolf Pack	-
154 - 2027-03-01	1038	Bears	-	Hammers	-
156 - 2027-03-03	1050	Wolves	-	Bears	-
158 - 2027-03-05	1067	Bears	-	Moose	-
160 - 2027-03-07	1088	Bears	-	Wild	-
162 - 2027-03-09	1093	Wranglers	-	Bears	-
163 - 2027-03-10	1106	Bears	-	IceHogs	-
166 - 2027-03-13	1120	Bears	-	Penguins	-
168 - 2027-03-15	1138	Crunch	-	Bears	-
170 - 2027-03-17	1154	Hammers	-	Bears	-
171 - 2027-03-18	1161	Bears	-	Americans	-
174 - 2027-03-21	1189	Bears	-	Wolf Pack	-
176 - 2027-03-23	1197	Griffins	-	Bears	-
177 - 2027-03-24	1208	Bears	-	Griffins	-
179 - 2027-03-26	1224	Bruins	-	Bears	-
181 - 2027-03-28	1241	Bears	-	Marlies	-
183 - 2027-03-30	1250	IceHogs	-	Bears	-
185 - 2027-04-01	1267	Bears	-	Phantoms	-
187 - 2027-04-03	1281	Monsters	-	Bears	-
188 - 2027-04-04	1293	Penguins	-	Bears	-
190 - 2027-04-06	1302	Bears	-	Monsters	-
192 - 2027-04-08	1319	Bears	-	Senators	-
194 - 2027-04-10	1329	Bears	-	Phantoms	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3000	2000
Ticket Price	50	30
Attendance	2,550	1,700
Attendance PCT	85.00%	85.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
41	4250 - 85.00%	169,575$	169,575$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
168,714$	2,836,740$	2,836,740$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	131,598$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
6,952,575$	185	18,746$	3,468,010$

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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
Regular Season
2020	56	30	18	0	0	5	2	1	206	177	29	28	16	8	0	0	2	1	1	104	78	26	28	14	10	0	0	3	1	0	102	99	3	70	206	367	573	3	1	0	72	70	62	1905	0	583	663	650	1976	537	338	1253	171	42	24.56%	152	35	76.97%	1	1009	2048	49.27%	1085	2098	51.72%	492	933	52.73%	1334	910	1313	423	735	368
2021	82	44	26	0	2	4	1	5	278	251	27	41	23	10	0	0	3	1	4	135	124	11	41	21	16	0	2	1	0	1	143	127	16	103	278	509	787	2	3	0	109	77	89	2748	0	857	924	942	2582	793	709	1950	277	56	20.22%	312	59	81.09%	4	1579	3036	52.01%	1499	2889	51.89%	679	1322	51.36%	2014	1391	1892	602	1053	525
2022	82	46	22	0	7	3	3	1	331	261	70	41	27	7	0	3	1	2	1	187	127	60	41	19	15	0	4	2	1	0	144	134	10	116	331	607	938	0	0	0	122	102	97	3100	0	1006	1023	1041	2731	805	721	1913	330	82	24.85%	311	57	81.67%	6	1647	3190	51.63%	1498	2908	51.51%	688	1367	50.33%	2013	1400	1902	604	1048	528
2023	81	42	27	0	5	1	4	2	286	247	39	42	21	15	0	4	0	1	1	151	134	17	39	21	12	0	1	1	3	1	135	113	22	105	286	510	796	1	3	0	104	88	85	2837	0	960	914	937	2555	792	648	2011	335	70	20.90%	281	49	82.56%	2	1563	3045	51.33%	1374	2813	48.84%	650	1288	50.47%	1966	1364	1915	601	1023	517
2024	82	29	34	0	5	8	5	1	207	222	-15	41	15	17	0	2	5	1	1	106	115	-9	41	14	17	0	3	3	4	0	101	107	-6	87	207	372	579	2	5	0	66	65	66	2216	0	757	718	714	2267	624	528	1879	239	43	17.99%	224	42	81.25%	2	1308	2613	50.06%	1209	2588	46.72%	613	1245	49.24%	2014	1395	1898	593	1064	541
2025	82	26	38	0	7	4	2	5	213	245	-32	41	16	19	0	2	2	1	1	115	127	-12	41	10	19	0	5	2	1	4	98	118	-20	79	213	400	613	2	3	0	85	56	63	2173	0	733	673	723	2397	692	659	2030	243	43	17.70%	278	46	83.45%	4	1249	2537	49.23%	1325	2727	48.59%	611	1254	48.72%	1988	1373	1930	598	1053	526
2026	3	1	2	0	0	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	1	2	-1	2	1	1	0	0	0	0	0	5	5	0	2	6	11	17	0	0	4	2	0	0	76	30	21	25	0	55	12	16	72	5	1	20.00%	8	1	87.50%	0	42	84	50.00%	44	79	55.70%	16	42	38.10%	69	47	69	23	41	20
Total Regular Season	468	218	167	0	26	25	17	15	1527	1410	117	235	118	77	0	11	13	7	9	799	707	92	233	100	90	0	15	12	10	6	728	703	25	562	1527	2776	4303	10	15	4	560	458	462	15055	30	4917	4940	5007	14563	4255	3619	11108	1600	337	21.06%	1566	289	81.55%	19	8397	16553	50.73%	8034	16102	49.89%	3749	7451	50.32%	11402	7884	10921	3449	6020	3028
Playoff
2020	18	11	7	0	0	0	0	0	57	50	7	9	4	5	0	0	0	0	0	28	29	-1	9	7	2	0	0	0	0	0	29	21	8	22	57	99	156	0	0	0	22	18	15	753	0	249	232	232	607	171	98	451	61	15	24.59%	42	8	80.95%	0	399	757	52.71%	337	647	52.09%	161	294	54.76%	471	332	414	132	243	125
2021	4	0	4	0	0	0	0	0	7	11	-4	2	0	2	0	0	0	0	0	4	6	-2	2	0	2	0	0	0	0	0	3	5	-2	0	7	12	19	0	0	0	3	3	1	129	0	51	46	29	157	34	44	103	5	1	20.00%	19	4	78.95%	0	67	134	50.00%	82	179	45.81%	32	58	55.17%	92	61	98	30	52	27
2022	14	7	7	0	0	0	0	0	56	55	1	8	4	4	0	0	0	0	0	31	32	-1	6	3	3	0	0	0	0	0	25	23	2	14	56	106	162	0	0	0	20	19	15	562	0	179	185	186	467	147	138	351	55	16	29.09%	55	19	65.45%	1	301	586	51.37%	245	478	51.26%	129	249	51.81%	359	248	312	101	188	96
2023	21	16	5	0	0	0	0	0	76	50	26	11	9	2	0	0	0	0	0	40	20	20	10	7	3	0	0	0	0	0	36	30	6	32	76	132	208	0	2	0	26	23	27	676	0	193	209	241	670	183	147	476	88	17	19.32%	69	9	86.96%	2	383	773	49.55%	367	769	47.72%	145	332	43.67%	498	338	525	164	278	139
Total Playoff	57	34	23	0	0	0	0	0	196	166	30	30	17	13	0	0	0	0	0	103	87	16	27	17	10	0	0	0	0	0	93	79	14	68	196	349	545	0	2	0	71	63	58	2120	0	672	672	688	1901	535	427	1381	209	49	23.44%	185	40	78.38%	3	1150	2250	51.11%	1031	2073	49.73%	467	933	50.05%	1422	981	1350	428	762	388