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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	Kenny Agostino	X	X			100.00	72	46	85	64	75	80	78	63	59	65	62	66	63	75	68	0	75	65	0
2	Owen Tippett (R)			X		100.00	71	45	89	65	79	82	81	64	59	62	63	66	65	61	64	0	78	64	0
3	Marko Dano	X	X	X		100.00	60	52	81	62	73	77	78	63	54	60	58	61	63	71	66	0	67	62	0
4	Gaetan Haas	X				100.00	72	39	88	63	71	65	77	61	74	57	60	59	63	75	68	0	78	62	0
5	Jakob Lilja		X			100.00	61	41	90	60	77	69	66	58	56	61	59	63	58	73	67	0	78	62	0
6	Jordan Szwarz	X		X		100.00	59	45	87	63	71	78	79	62	68	60	61	59	62	77	67	0	78	62	0
7	Tommy Novak	X				100.00	57	44	84	63	73	86	87	61	75	62	56	57	63	65	62	0	78	61	0
8	Yegor Sharangovich	X				100.00	64	42	86	59	80	87	90	57	52	54	56	58	57	63	62	0	78	60	0
9	Tyrell Goulbourne		X	X		100.00	59	51	83	59	71	73	75	58	50	56	57	55	59	71	66	0	78	60	0
10	Dillon Heatherington				X	100.00	68	52	86	59	90	82	80	57	30	58	56	60	51	69	75	0	78	62	0
11	Urho Vaakanainen				X	100.00	63	42	87	61	74	79	72	59	30	60	58	65	53	62	63	0	81	61	0
12	Evan McEneny				X	100.00	66	48	85	58	81	83	79	56	30	55	55	57	45	71	66	0	59	60	0
13	Jonathan Kovacevic				X	100.00	72	51	83	57	88	81	79	56	30	54	54	58	46	65	64	0	79	60	0
14	Nikolai Knyzhov				X	100.00	62	39	88	59	79	73	68	57	30	56	56	58	45	63	62	0	70	60	0
Scratches
1	Michael Sgarbossa	X	X			100.00	59	46	87	62	71	78	75	63	74	62	61	64	62	75	68	0	78	63	0
2	Lean Bergmann	X				100.00	71	47	81	62	81	72	69	61	72	59	59	60	62	63	62	0	78	62	0
3	Alexandre Fortin		X			100.00	58	43	89	61	71	80	76	59	54	57	58	56	61	65	63	0	68	60	0
4	Lukas Jasek			X		100.00	54	43	86	58	55	87	89	59	54	57	57	60	58	65	61	0	65	59	0
5	Danil Yurtaykin		X			100.00	53	38	82	59	65	75	68	58	53	61	57	58	56	65	63	0	65	59	0
6	Igor Shvyrev	X				100.00	63	45	87	54	77	85	82	56	69	52	54	58	56	63	62	0	68	59	0
7	Skyler McKenzie		X			100.00	51	43	89	58	59	84	82	57	53	55	56	54	58	63	62	0	65	58	0
8	Peter Abbandonato	X				100.00	56	41	83	58	71	73	72	56	63	55	57	54	58	63	62	0	76	58	0
9	Drake Rymsha	X				100.00	57	45	79	54	72	78	75	53	59	52	51	56	54	63	62	0	65	57	0
10	Jimmy Huntington	X				100.00	62	42	83	55	74	77	75	54	58	52	50	53	51	63	60	0	65	57	0
11	Parker Kelly		X			100.00	53	41	86	54	55	86	88	53	55	52	56	57	54	61	62	0	65	57	0
12	Kale Kessy		X			100.00	65	71	56	52	82	77	76	51	54	50	50	53	49	75	68	0	65	57	0
13	Jani Hakanpaa				X	100.00	73	47	89	62	93	83	71	59	30	58	56	63	46	75	68	0	68	63	0
14	Leon Gawanke (R)				X	100.00	59	45	88	60	75	83	82	58	30	61	53	56	48	61	63	0	78	60	0
15	Michael Paliotta				X	100.00	72	49	82	56	88	79	78	54	30	53	50	57	45	73	67	0	65	59	0
16	Joshua Anderson				X	100.00	77	44	87	55	89	67	68	54	30	50	53	57	48	63	64	0	65	59	0

	TEAM AVERAGE					100.00	63	46	85	59	75	79	77	58	51	57	56	59	55	67	65	0	72	60

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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
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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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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	Joey Daccord	100.00	77	63	61	80	76	75	77	76	75	77	76	67	71	0	73	66	0
2	Garret Sparks	100.00	75	73	71	84	74	73	75	74	73	75	74	73	77	0	82	66	0
Scratches
1	Ivan Prosvetov (R)	100.00	72	76	74	84	71	70	72	71	70	72	71	61	65	0	78	63	0
2	Jeremy Helvig	100.00	60	52	50	84	59	58	60	59	58	60	59	65	69	0	65	57	0

	TEAM AVERAGE	100.00	71	66	64	83	70	69	71	70	69	71	70	67	71	0	75	63

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Glen Gulutzan	71	70	72	69	72	67	77	CAN	48	2	750,000$

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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	EG	HT	P/20	PSG	PSS	FT	S1	S2	S3
1	Marko Dano	Bears (WSH)	C/LW/RW	46	27	29	56	1	26	10	97	126	210	57	131	12.86%	15	968	21.05	4	8	12	34	111	0	0	0	3	53	4	1	51.97%	304	0	0	1.16	0	2	2	6	4	0
2	Owen Tippett	Bears (WSH)	RW	33	21	34	55	12	16	0	79	106	211	49	138	9.95%	19	812	24.61	2	11	13	28	77	1	0	1	7	96	1	1	44.84%	252	1	0	1.35	0	1	0	3	3	4
3	Michael Sgarbossa	Bears (WSH)	C/LW	31	17	25	42	8	6	0	36	88	130	26	92	13.08%	10	695	22.44	4	5	9	24	79	1	0	1	2	89	4	0	58.53%	750	0	1	1.21	0	1	0	5	3	1
4	Urho Vaakanainen	Bears (WSH)	D	46	4	36	40	8	20	0	66	82	98	35	58	4.08%	84	934	20.31	1	4	5	46	94	0	0	0	0	100	0	0	0.00%	0	0	0	0.86	0	0	0	0	6	1
5	Gaetan Haas	Bears (WSH)	C	49	16	22	38	2	12	0	87	121	136	53	100	11.76%	17	831	16.96	2	4	6	12	65	0	0	0	0	33	2	0	57.83%	1053	0	1	0.91	0	1	0	1	0	2
6	Dillon Heatherington	Bears (WSH)	D	49	10	27	37	2	32	0	125	60	91	24	51	10.99%	98	1212	24.74	5	8	13	40	122	0	2	2	2	124	1	0	0.00%	0	0	0	0.61	0	0	0	1	0	7
7	Jakob Lilja	Bears (WSH)	LW	49	14	20	34	2	14	0	49	80	144	41	116	9.72%	12	874	17.84	4	5	9	26	103	0	0	0	0	7	0	1	45.68%	81	0	0	0.78	0	0	0	0	0	2
8	Jordan Szwarz	Bears (WSH)	C/RW	49	14	20	34	4	18	0	56	94	168	42	112	8.33%	14	882	18.02	2	4	6	16	101	0	0	0	0	11	1	2	56.23%	329	0	1	0.77	1	1	0	1	2	1
9	Nic Dowd	Capitals	C/RW	25	16	16	32	21	8	0	65	91	83	24	54	19.28%	20	442	17.68	0	0	0	0	2	0	0	0	1	67	2	2	58.77%	633	1	0	1.45	1	2	0	5	2	4
10	Lean Bergmann	Bears (WSH)	C	49	13	14	27	-1	28	0	74	77	107	37	92	12.15%	15	679	13.87	1	0	1	2	8	0	0	0	1	16	2	0	54.75%	610	0	0	0.79	1	1	0	1	1	2
11	Jani Hakanpaa	Bears (WSH)	D	33	6	16	22	-10	24	0	82	52	63	17	38	9.52%	56	798	24.20	4	4	8	34	76	0	0	0	0	82	0	0	0.00%	0	0	0	0.55	0	0	0	0	2	2
12	Tyrell Goulbourne	Bears (WSH)	LW/RW	49	10	11	21	13	21	5	53	49	104	30	54	9.62%	7	718	14.66	0	0	0	8	37	0	0	0	1	20	4	0	42.47%	73	0	0	0.58	0	0	1	0	3	0
13	Leon Gawanke	Bears (WSH)	D	47	4	15	19	1	26	0	63	47	28	16	26	14.29%	38	690	14.70	0	2	2	5	24	0	0	0	0	21	0	0	0.00%	0	0	0	0.55	0	0	0	0	0	1
14	Jonathan Kovacevic	Bears (WSH)	D	36	3	10	13	5	37	5	77	17	33	7	16	9.09%	44	633	17.61	1	0	1	13	48	0	1	1	0	58	0	0	0.00%	0	0	0	0.41	0	0	1	0	0	0
15	Tommy Novak	Bears (WSH)	C	41	6	7	13	5	21	5	14	44	83	20	50	7.23%	9	451	11.02	0	0	0	0	3	0	0	0	0	0	0	1	51.92%	156	0	0	0.58	0	1	0	0	0	0
16	Nikolai Knyzhov	Bears (WSH)	D	17	0	11	11	15	6	0	22	8	10	2	10	0.00%	13	222	13.09	0	0	0	0	1	0	0	0	0	16	0	0	0.00%	0	0	0	0.99	0	0	0	1	0	0
17	Evan McEneny	Bears (WSH)	D	38	3	3	6	-4	20	0	57	17	17	8	9	17.65%	44	465	12.25	1	0	1	1	23	0	0	0	0	32	0	0	0.00%	0	0	0	0.26	0	0	0	0	0	0
18	Kenny Agostino	Bears (WSH)	C/LW	3	2	3	5	4	0	0	3	11	17	4	13	11.76%	0	74	24.96	0	0	0	2	7	0	0	0	1	8	1	0	44.35%	115	0	0	1.34	0	0	0	1	1	0
19	Alexandre Fortin	Bears (WSH)	LW	37	2	3	5	-6	2	0	17	23	46	18	48	4.35%	5	291	7.88	0	0	0	1	0	0	0	0	0	7	0	0	32.00%	25	0	0	0.34	0	0	0	0	0	0
20	Yegor Sharangovich	Bears (WSH)	C	49	1	3	4	4	0	0	15	8	15	1	15	6.67%	5	142	2.92	0	0	0	3	13	0	2	2	0	13	0	0	37.50%	64	0	0	0.56	0	0	0	0	0	0
21	Danil Yurtaykin	Bears (WSH)	LW	4	0	0	0	0	0	0	1	3	0	0	0	0.00%	1	13	3.45	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	3	0	0	0.00	0	0	0	0	0	0
22	Peter Abbandonato	Bears (WSH)	C	23	0	0	0	0	0	0	1	3	1	0	0	0.00%	0	46	2.04	0	0	0	0	0	0	0	0	0	3	0	0	50.00%	6	0	0	0.00	0	0	0	0	0	0
23	Kale Kessy	Bears (WSH)	LW	4	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.47	0	0	0	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0.00	0	0	0	0	0	0
Team Total or Average				807	189	325	514	86	337	25	1139	1207	1795	511	1223	10.53%	526	12885	15.97	31	55	86	295	1003	2	5	7	18	870	22	8	54.96%	4454	2	3	0.80	3	10	4	25	27	27

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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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Garret Sparks	Bears (WSH)	22	15	4	1	0.916	3.08	1268	6	1	65	778	0	0	0.000	0	20	28	2	0	1
2	Joey Daccord	Bears (WSH)	31	12	16	3	0.909	3.49	1770	8	0	103	1135	1	3	0.800	10	31	18	1	1	4
3	Ivan Prosvetov	Bears (WSH)	4	0	1	1	0.936	2.44	172	2	0	7	109	0	0	0.000	0	2	28	0	0	0
Team Total or Average			57	27	21	5	0.913	3.27	3211	16	1	175	2022	1	3	0.800	10	53	74	3	1	5

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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`)
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
Alexandre Fortin	LW	23	1997-02-25	No	184 Lbs	6 ft0	No	No	No	1	ELC	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Danil Yurtaykin	LW	23	1997-07-01	No	165 Lbs	5 ft11	Yes	No	No	3	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Dillon Heatherington	D	25	1995-05-09	No	220 Lbs	6 ft4	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Drake Rymsha	C	22	1998-08-18	No	187 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Evan McEneny	D	26	1994-05-22	No	203 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Gaetan Haas	C	28	1992-01-31	No	181 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Garret Sparks	G	27	1993-06-28	No	201 Lbs	6 ft3	No	No	No	1	RFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Igor Shvyrev	C	22	1998-07-10	No	200 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	999,999$	0$	0$	No	Link / NHL Link
Ivan Prosvetov	G	21	1999-03-04	Yes	175 Lbs	6 ft5	No	No	No	3	ELC	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Jakob Lilja	LW	27	1993-07-23	No	196 Lbs	6 ft1	Yes	No	No	3	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jani Hakanpaa	D	28	1992-03-31	No	218 Lbs	6 ft5	Yes	No	No	3	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Jeremy Helvig	G	23	1997-05-25	No	188 Lbs	6 ft4	Yes	No	Yes	2	ELC	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Jimmy Huntington	C	22	1998-11-18	No	204 Lbs	6 ft0	Yes	No	No	3	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Joey Daccord	G	24	1996-08-19	No	197 Lbs	6 ft2	No	No	No	1	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Jonathan Kovacevic	D	23	1997-07-12	No	208 Lbs	6 ft4	No	No	No	3	ELC	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Jordan Szwarz	C/RW	29	1991-05-14	No	192 Lbs	5 ft11	No	No	No	2	UFA	Pro & Farm	975,000$	0$	0$	No	Link / NHL Link
Joshua Anderson	D	22	1998-08-29	No	230 Lbs	6 ft3	Yes	No	No	3	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Kale Kessy	LW	28	1992-12-04	No	192 Lbs	6 ft3	No	No	No	1	UFA	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Kenny Agostino	C/LW	28	1992-04-30	No	204 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Lean Bergmann	C	22	1998-10-04	No	205 Lbs	6 ft2	No	No	No	3	ELC	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Leon Gawanke	D	21	1999-05-31	Yes	186 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Lukas Jasek	RW	23	1997-08-28	No	165 Lbs	5 ft1	Yes	No	No	3	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Marko Dano	C/LW/RW	26	1994-11-30	No	201 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	850,000$	0$	0$	No	Link / NHL Link
Michael Paliotta	D	27	1993-04-06	No	207 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Michael Sgarbossa	C/LW	28	1992-07-25	No	185 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Nikolai Knyzhov	D	22	1998-03-20	No	194 Lbs	6 ft2	Yes	No	No	3	ELC	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Owen Tippett	RW	21	1999-02-16	Yes	207 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Parker Kelly	LW	21	1999-05-14	No	168 Lbs	5 ft1	Yes	No	No	3	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Peter Abbandonato	C	22	1998-03-25	No	195 Lbs	5 ft11	Yes	No	No	3	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Skyler McKenzie	LW	22	1998-01-20	No	154 Lbs	5 ft8	Yes	No	No	3	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link
Tommy Novak	C	23	1997-04-28	No	179 Lbs	6 ft1	No	No	No	3	ELC	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Tyrell Goulbourne	LW/RW	26	1994-01-26	No	195 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	750,000$	0$	0$	No	Link / NHL Link
Urho Vaakanainen	D	22	1999-01-01	No	185 Lbs	6 ft1	No	No	No	2	ELC	Pro & Farm	925,000$	0$	0$	No	Link / NHL Link
Yegor Sharangovich	C	22	1998-06-06	No	196 Lbs	6 ft2	No	No	No	1	ELC	Pro & Farm	950,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
34	24.09	193 Lbs	6 ft1	2.24	892,647$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jakob Lilja	Kenny Agostino	Owen Tippett	40	1	2	2
2	Marko Dano	Jordan Szwarz	Tyrell Goulbourne	30	1	2	2
3	Tommy Novak	Gaetan Haas	Yegor Sharangovich	20	1	2	2
4	Kenny Agostino	Tommy Novak	Owen Tippett	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dillon Heatherington	Urho Vaakanainen	40	1	2	2
2	Nikolai Knyzhov	Jonathan Kovacevic	30	1	2	2
3	Evan McEneny		20	1	2	2
4	Dillon Heatherington	Urho Vaakanainen	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Jakob Lilja	Kenny Agostino	Owen Tippett	60	1	2	2
2	Marko Dano	Jordan Szwarz	Tyrell Goulbourne	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dillon Heatherington	Urho Vaakanainen	60	1	2	2
2	Nikolai Knyzhov	Jonathan Kovacevic	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kenny Agostino	Owen Tippett	60	1	2	2
2	Jordan Szwarz	Jakob Lilja	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dillon Heatherington	Urho Vaakanainen	60	1	2	2
2	Nikolai Knyzhov	Jonathan Kovacevic	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Kenny Agostino	60	1	2	2	Dillon Heatherington	Urho Vaakanainen	60	1	2	2
2	Owen Tippett	40	1	2	2	Nikolai Knyzhov	Jonathan Kovacevic	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Kenny Agostino	Owen Tippett	60	1	2	2
2	Jordan Szwarz	Jakob Lilja	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Dillon Heatherington	Urho Vaakanainen	60	1	2	2
2	Nikolai Knyzhov	Jonathan Kovacevic	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Jakob Lilja	Kenny Agostino	Owen Tippett	Dillon Heatherington	Urho Vaakanainen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Jakob Lilja	Kenny Agostino	Owen Tippett	Dillon Heatherington	Urho Vaakanainen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Gaetan Haas, Yegor Sharangovich, Marko Dano	Gaetan Haas, Yegor Sharangovich	Marko Dano

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Evan McEneny, Nikolai Knyzhov, Jonathan Kovacevic	Evan McEneny	Nikolai Knyzhov, Jonathan Kovacevic

Penalty Shots
Kenny Agostino, Owen Tippett, Jordan Szwarz, Jakob Lilja, Gaetan Haas

Goalie
#1 : Garret Sparks, #2 : Joey Daccord

Custom OT Lines Forwards
Kenny Agostino, Owen Tippett, Jordan Szwarz, Jakob Lilja, Gaetan Haas, Marko Dano, Marko Dano, Tommy Novak, Tyrell Goulbourne, Yegor Sharangovich,

Custom OT Lines Defensemen
Dillon Heatherington, Urho Vaakanainen, Nikolai Knyzhov, Jonathan Kovacevic, Evan McEneny

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2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
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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
49	51	W2	180	322	502	1747	1893	547	361	1136	3	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
49	21	21	1	4	1	1	180	169

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
24	14	6	1	2	0	1	107	64

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	7	15	0	2	1	0	73	105

Last 10 Games
W	L	OTW	OTL	SOW	SOL
6	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
137	31	22.63%	155	33	78.71%	3

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
576	604	557	20	83	52	43	3

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
922	1748	52.75%	959	1917	50.03%	424	830	51.08%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1122	775	1201	364	629	308

Last Played Games Show or Hide Column

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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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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")
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Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
1 - 2020-10-01	2	Bears	3	Rampage	2	W	X	X	BoxScore
3 - 2020-10-03	15	Bears	0	Sound Tigers	5	L			BoxScore
4 - 2020-10-04	23	Checkers	2	Bears	1	L			BoxScore
7 - 2020-10-07	39	Stars	3	Bears	2	L			BoxScore
9 - 2020-10-09	52	Bears	4	Admirals	3	W			BoxScore
11 - 2020-10-11	70	Bears	2	Stars	4	L			BoxScore
13 - 2020-10-13	83	Eagles	1	Bears	3	W			BoxScore
15 - 2020-10-15	93	Marlies	2	Bears	6	W			BoxScore
17 - 2020-10-17	109	Wolf Pack	3	Bears	4	W			BoxScore
19 - 2020-10-19	126	Bears	1	IceHogs	5	L			BoxScore
21 - 2020-10-21	142	Bears	3	Heat	7	L			BoxScore
23 - 2020-10-23	154	Bears	3	Condors	5	L			BoxScore
24 - 2020-10-24	160	Bears	3	Comets	4	L	X		BoxScore
28 - 2020-10-28	180	Bears	0	Marlies	4	L			BoxScore
31 - 2020-10-31	198	Americans	3	Bears	1	L			BoxScore
33 - 2020-11-02	218	Heat	1	Bears	2	W			BoxScore
37 - 2020-11-06	238	Bears	3	Thunderbirds	2	W			BoxScore
39 - 2020-11-08	258	Wolves	3	Bears	1	L			BoxScore
41 - 2020-11-10	270	Roadrunners	6	Bears	5	L	X	X	BoxScore
43 - 2020-11-12	283	Bears	3	Phantoms	5	L			BoxScore
45 - 2020-11-14	296	Rocket	4	Bears	3	L	X		BoxScore
46 - 2020-11-15	303	Bears	2	Bruins	4	L			BoxScore
48 - 2020-11-17	316	Gulls	3	Bears	5	W			BoxScore
50 - 2020-11-19	332	Bears	2	Wolf Pack	3	L			BoxScore
53 - 2020-11-22	348	Comets	4	Bears	3	L	X		BoxScore
57 - 2020-11-26	383	Thunderbirds	3	Bears	1	L			BoxScore
59 - 2020-11-28	398	Crunch	2	Bears	6	W			BoxScore
60 - 2020-11-29	407	Bears	2	Griffins	3	L			BoxScore
63 - 2020-12-02	433	Bears	4	Barracuda	7	L			BoxScore
64 - 2020-12-03	437	Bears	4	Reign	2	W			BoxScore
66 - 2020-12-05	451	Bears	3	Gulls	6	L			BoxScore
69 - 2020-12-08	469	Monsters	2	Bears	8	W			BoxScore
71 - 2020-12-10	484	Bruins	0	Bears	9	W			BoxScore
74 - 2020-12-13	509	Bears	7	Crunch	5	W			BoxScore
76 - 2020-12-15	521	Bears	4	Monsters	3	W			BoxScore
80 - 2020-12-19	549	Bears	5	Devils	3	W			BoxScore
81 - 2020-12-20	559	Crunch	3	Bears	9	W			BoxScore
83 - 2020-12-22	571	Bears	4	Bruins	5	L	X		BoxScore
87 - 2020-12-26	585	Monsters	3	Bears	10	W			BoxScore
88 - 2020-12-27	598	Bears	1	Checkers	5	L			BoxScore
91 - 2020-12-30	614	Sound Tigers	3	Bears	7	W			BoxScore
94 - 2021-01-02	639	Bears	2	Checkers	4	L			BoxScore
96 - 2021-01-04	653	Barracuda	1	Bears	3	W			BoxScore
98 - 2021-01-06	667	Senators	2	Bears	3	W	X		BoxScore
99 - 2021-01-07	676	Bears	4	Phantoms	6	L			BoxScore
102 - 2021-01-10	696	Devils	2	Bears	6	W			BoxScore
104 - 2021-01-12	712	Checkers	5	Bears	4	L			BoxScore
107 - 2021-01-15	732	Devils	3	Bears	5	W			BoxScore
109 - 2021-01-17	743	Bears	4	Sound Tigers	3	W			BoxScore
118 - 2021-01-26	768	Bears	-	Rocket	-
120 - 2021-01-28	777	Admirals	-	Bears	-
122 - 2021-01-30	787	Bears	-	Senators	-
124 - 2021-02-01	806	Penguins	-	Bears	-
126 - 2021-02-03	817	Reign	-	Bears	-
130 - 2021-02-07	850	Phantoms	-	Bears	-
132 - 2021-02-09	862	Sound Tigers	-	Bears	-
135 - 2021-02-12	888	Bears	-	Eagles	-
137 - 2021-02-14	904	Bears	-	Roadrunners	-
139 - 2021-02-16	918	Bears	-	Wolves	-
142 - 2021-02-19	935	Rocket	-	Bears	-
144 - 2021-02-21	948	Bears	-	Devils	-
145 - 2021-02-22	959	Penguins	-	Bears	-
147 - 2021-02-24	973	Moose	-	Bears	-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2021-02-26	992	Bears	-	Moose	-
152 - 2021-03-01	1014	Bears	-	Wild	-
155 - 2021-03-04	1029	Phantoms	-	Bears	-
156 - 2021-03-05	1036	Bears	-	Wolf Pack	-
158 - 2021-03-07	1050	Bears	-	Penguins	-
160 - 2021-03-09	1066	Bears	-	Americans	-
163 - 2021-03-12	1087	Griffins	-	Bears	-
165 - 2021-03-14	1103	IceHogs	-	Bears	-
167 - 2021-03-16	1120	Condors	-	Bears	-
170 - 2021-03-19	1141	Bears	-	Monsters	-
171 - 2021-03-20	1147	Senators	-	Bears	-
173 - 2021-03-22	1164	Bears	-	Penguins	-
175 - 2021-03-24	1181	Rampage	-	Bears	-
177 - 2021-03-26	1194	Wolf Pack	-	Bears	-
179 - 2021-03-28	1210	Bears	-	Griffins	-
181 - 2021-03-30	1224	Bears	-	Americans	-
182 - 2021-03-31	1231	Marlies	-	Bears	-
184 - 2021-04-02	1248	Wild	-	Bears	-
186 - 2021-04-04	1265	Bears	-	Thunderbirds	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	30	15
Attendance	43,778	21,776
Attendance PCT	91.20%	90.73%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
17	2731 - 91.05%	81,784$	1,962,806$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
2,231,979$	3,035,000$	2,990,408$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
16,317$	1,767,086$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,390,321$	73	20,349$	1,485,477$

Show or Hide Column

	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
5	80	37	30	0	3	3	6	1	226	189	37	40	17	13	0	3	3	4	0	113	89	24	40	20	17	0	0	0	2	1	113	100	13	96	226	367	593	0	10	0	60	86	71	2201	0	692	789	706	2470	920	732	2066	198	59	29.80%	151	39	74.17%	7	677	1306	51.84%	731	1487	49.16%	537	1096	49.00%	1519	670	1772	969	1807	926
6	80	37	26	0	8	1	3	5	291	241	50	40	19	12	0	5	1	1	2	163	118	45	40	18	14	0	3	0	2	3	128	123	5	102	291	483	774	0	6	0	73	104	103	2625	0	810	893	885	2301	744	739	2050	223	63	28.25%	186	44	76.34%	6	909	1714	53.03%	851	1596	53.32%	687	1271	54.05%	1602	784	3784	2052	1722	851
7	76	40	29	0	0	1	3	3	265	240	25	38	22	13	0	0	1	0	2	137	109	28	38	18	16	0	0	0	3	1	128	131	-3	90	265	422	687	0	6	0	61	111	90	2398	0	745	807	833	2194	735	1000	2076	208	54	25.96%	218	55	74.77%	14	841	1606	52.37%	721	1402	51.43%	639	1219	52.42%	1515	730	1439	772	1636	815
8	76	30	33	0	3	3	2	5	268	278	-10	38	18	14	0	1	1	0	4	144	134	10	38	12	19	0	2	2	2	1	124	144	-20	78	268	421	689	0	3	0	70	99	94	2555	0	851	957	730	2296	723	1025	2069	210	53	25.24%	228	60	73.68%	11	905	1742	51.95%	796	1560	51.03%	557	1107	50.32%	1555	778	1448	774	1595	787
9	80	43	24	0	5	4	3	1	309	238	71	40	20	12	0	3	2	3	0	146	121	25	40	23	12	0	2	2	0	1	163	117	46	107	309	502	811	2	3	0	66	125	110	2770	0	883	981	872	2303	775	734	2132	200	53	26.50%	196	50	74.49%	8	894	1801	49.64%	827	1685	49.08%	550	1162	47.33%	1608	798	1530	816	1696	830
10	80	28	39	0	5	2	2	4	232	281	-49	40	20	13	0	3	1	1	2	130	125	5	40	8	26	0	2	1	1	2	102	156	-54	76	232	378	610	2	4	0	52	92	81	2573	0	788	904	852	2451	821	786	2088	176	44	25.00%	200	70	65.00%	2	947	1735	54.58%	703	1376	51.09%	566	1101	51.41%	1577	765	1543	815	1721	847
11	80	19	50	0	2	6	1	2	154	289	-135	40	9	28	0	1	1	0	1	65	134	-69	40	10	22	0	1	5	1	1	89	155	-66	52	154	251	405	0	4	0	36	53	62	1705	0	429	586	673	2250	679	591	1861	154	33	21.43%	197	67	65.99%	3	623	1269	49.09%	646	1330	48.57%	472	959	49.22%	1398	540	1555	861	1872	945
12	76	34	26	0	4	3	7	2	265	236	29	38	18	15	0	2	0	2	1	128	123	5	38	16	11	0	2	3	5	1	137	113	24	95	265	429	694	5	1	0	82	84	88	2764	0	860	952	929	2666	849	703	2028	204	52	25.49%	229	53	76.86%	4	930	1819	51.13%	919	1764	52.10%	571	1106	51.63%	1528	773	1555	772	1534	750
13	80	23	40	0	4	2	7	4	270	369	-99	40	12	18	0	3	0	4	3	141	187	-46	40	11	22	0	1	2	3	1	129	182	-53	74	270	432	702	0	1	0	57	102	100	2781	0	820	988	935	2770	954	739	2460	207	64	30.92%	247	74	70.04%	10	939	1843	50.95%	711	1446	49.17%	605	1214	49.84%	1606	798	1634	812	1630	796
14	80	25	45	0	0	4	2	4	248	316	-68	40	14	22	0	0	1	1	2	125	157	-32	40	11	23	0	0	3	1	2	123	159	-36	62	248	403	651	3	0	0	64	79	103	2803	0	936	980	871	2793	953	882	2259	215	53	24.65%	247	67	72.87%	1	983	1869	52.59%	870	1715	50.73%	630	1184	53.21%	1614	824	1618	804	1604	779
15	80	24	32	0	8	3	3	10	228	237	-9	40	15	11	0	5	1	3	5	121	113	8	40	9	21	0	3	2	0	5	107	124	-17	83	228	372	600	1	3	0	44	83	90	2043	0	525	691	778	2725	963	610	1609	187	64	34.22%	236	64	72.88%	3	718	1427	50.32%	939	1917	48.98%	515	1018	50.59%	1399	573	1700	851	1788	906
16	76	21	43	0	0	2	6	4	199	255	-56	38	12	22	0	0	1	2	1	102	121	-19	38	9	21	0	0	1	4	3	97	134	-37	60	199	344	543	0	3	0	70	71	52	2102	0	707	684	691	2574	757	517	1576	221	48	21.72%	224	50	77.68%	1	1042	2353	44.28%	1100	2560	42.97%	508	1209	42.02%	1645	1098	1976	586	992	476
17	80	23	39	0	0	4	6	8	214	273	-59	40	12	20	0	0	3	1	4	112	137	-25	40	11	19	0	0	1	5	4	102	136	-34	70	214	360	574	3	1	0	76	68	64	2333	0	757	769	782	2787	819	400	1464	240	45	18.75%	173	38	78.03%	2	1137	2489	45.68%	1263	2821	44.77%	565	1256	44.98%	1753	1184	2071	609	1052	504
18	76	21	43	0	2	5	1	4	225	271	-46	38	13	19	0	1	3	0	2	129	135	-6	38	8	24	0	1	2	1	2	96	136	-40	57	225	399	624	0	2	0	89	74	59	2287	0	716	814	736	2689	732	630	1589	218	35	16.06%	270	49	81.85%	4	1196	2411	49.61%	1241	2659	46.67%	583	1240	47.02%	1645	1102	1976	585	982	469
19	82	20	49	0	1	6	2	4	203	304	-101	41	11	22	0	1	3	0	4	110	161	-51	41	9	27	0	0	3	2	0	93	143	-50	56	203	364	567	0	3	0	79	70	51	2344	0	779	758	792	2556	780	568	1658	182	32	17.58%	251	59	76.49%	1	1285	2506	51.28%	1117	2377	46.99%	660	1328	49.70%	1887	1289	2009	611	1063	520
20	82	23	38	0	6	7	4	4	223	259	-36	41	10	18	0	3	4	3	3	113	124	-11	41	13	20	0	3	3	1	1	110	135	-25	77	223	391	614	2	2	0	78	61	74	2518	0	874	764	832	2635	779	743	1917	295	51	17.29%	304	76	75.00%	3	1476	2807	52.58%	1440	2831	50.87%	664	1269	52.32%	1981	1352	1931	618	1076	540
21	82	34	34	0	3	6	1	4	277	298	-21	41	18	16	0	1	3	1	2	143	151	-8	41	16	18	0	2	3	0	2	134	147	-13	86	277	509	786	3	1	0	97	97	79	3030	0	1026	1008	960	2887	825	604	2010	258	55	21.32%	236	55	76.69%	4	1637	3070	53.32%	1497	2911	51.43%	708	1356	52.21%	2057	1461	1876	576	1028	520
22	49	21	21	0	1	4	1	1	180	169	11	24	14	6	0	1	2	0	1	107	64	43	25	7	15	0	0	2	1	0	73	105	-32	51	180	322	502	3	1	83	52	43	3	1747	576	604	557	20	1893	547	361	1136	137	31	22.63%	155	33	78.71%	3	922	1748	52.75%	959	1917	50.03%	424	830	51.08%	1122	775	1201	364	629	308
Total Regular Season	1395	503	641	0	55	66	60	70	4277	4743	-466	697	274	294	0	33	31	26	39	2229	2303	-74	698	229	347	0	22	35	34	31	2048	2440	-392	1372	4277	7149	11426	24	54	83	1206	1502	1374	43579	576	13802	14882	13877	45240	14355	12364	34048	3733	889	23.81%	3948	1003	74.59%	87	18061	35515	50.85%	17331	35354	49.02%	10441	20925	49.90%	29020	16303	32626	14255	25436	12575
Playoff
5	11	4	7	0	0	0	0	0	42	36	6	6	2	4	0	0	0	0	0	22	20	2	5	2	3	0	0	0	0	0	20	16	4	8	42	72	114	0	0	0	8	15	18	432	0	141	134	150	330	118	113	371	33	4	12.12%	21	2	90.48%	1	148	265	55.85%	116	247	46.96%	81	186	43.55%	230	117	1980	1082	233	111
6	14	7	7	0	0	0	0	0	40	40	0	8	3	5	0	0	0	0	0	21	25	-4	6	4	2	0	0	0	0	0	19	15	4	14	40	67	107	0	1	0	13	14	11	415	0	166	147	93	377	122	38	449	39	5	12.82%	10	0	100.00%	0	137	254	53.94%	143	273	52.38%	112	194	57.73%	287	138	4046	2195	311	157
7	12	5	7	0	0	0	0	0	39	51	-12	5	1	4	0	0	0	0	0	17	27	-10	7	4	3	0	0	0	0	0	22	24	-2	10	39	67	106	0	0	0	6	16	16	425	0	108	172	132	426	149	111	381	19	4	21.05%	38	9	76.32%	1	142	273	52.01%	122	245	49.80%	98	186	52.69%	246	131	243	118	242	112
9	24	15	9	0	0	0	0	0	86	73	13	14	11	3	0	0	0	0	0	59	45	14	10	4	6	0	0	0	0	0	27	28	-1	30	86	139	225	0	0	0	18	29	35	927	0	276	322	293	849	278	166	686	54	14	25.93%	63	17	73.02%	0	326	652	50.00%	268	603	44.44%	174	376	46.28%	516	276	502	247	493	240
12	23	14	9	0	0	0	0	0	78	74	4	12	7	5	0	0	0	0	0	46	43	3	11	7	4	0	0	0	0	0	32	31	1	28	78	117	195	2	1	0	15	27	34	842	0	251	296	284	886	322	236	638	40	12	30.00%	63	15	76.19%	1	274	531	51.60%	304	598	50.84%	178	346	51.45%	449	229	504	225	445	216
Total Playoff	84	45	39	0	0	0	0	0	285	274	11	45	24	21	0	0	0	0	0	165	160	5	39	21	18	0	0	0	0	0	120	114	6	90	285	462	747	2	2	0	60	101	114	3041	0	942	1071	952	2868	989	664	2525	185	39	21.08%	195	43	77.95%	3	1027	1975	52.00%	953	1966	48.47%	643	1288	49.92%	1730	892	7276	3869	1725	838