LHSDB - Ligue de hockey simulee des debiles barbus

Boston Bruins
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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	Phillip Di Giuseppe		X	X		100.00	77	38	91	66	73	85	78	67	58	66	62	65	69	75	68	62	50	65	0
2	Justin Richards	X				100.00	67	35	94	69	72	77	81	67	71	66	61	68	64	65	62	53	50	65	0
3	Alex Limoges	X	X	X		100.00	58	43	83	65	78	80	82	66	73	64	67	63	68	67	64	53	50	64	0
4	Joel Kellman	X				100.00	68	35	92	64	71	68	72	65	77	66	64	69	63	73	68	37	50	64	0
5	Nathan Gerbe	X	X	X		100.00	79	36	80	67	61	79	80	66	69	67	63	59	65	84	78	30	50	64	0
6	Parker Kelly	X	X	X		100.00	79	35	91	64	66	74	78	63	68	62	71	69	67	63	62	54	50	64	0
7	Dylan Gambrell	X				100.00	77	35	91	65	71	70	75	66	79	68	62	68	66	69	66	65	50	64	0
8	Carter Camper	X				100.00	56	39	85	59	66	82	84	61	77	66	58	57	62	81	73	26	50	62	0
9	Cameron Hughes	X				100.00	64	35	92	63	66	77	73	62	76	61	59	68	62	69	66	48	50	62	0
10	Jack Kopacka		X			100.00	71	35	93	57	80	69	74	57	58	57	56	59	62	65	63	61	50	59	0
11	Jarred Tinordi				X	100.00	90	83	72	62	93	81	72	59	30	63	58	76	52	77	69	66	50	69	0
12	Alexander Yelesin				X	100.00	82	35	95	61	73	85	78	60	30	59	56	64	53	69	71	52	50	65	0
13	William Borgen				X	100.00	83	39	87	58	84	87	80	57	30	58	54	64	47	69	65	60	50	65	0
14	Jimmy Schuldt				X	100.00	69	46	80	59	78	84	89	56	30	58	56	57	48	71	66	42	50	62	0
15	Jalen Chatfield				X	100.00	57	46	79	58	75	79	77	56	30	58	53	57	47	69	65	42	50	60	0
Scratches
1	Patrick Marleau	X	X	X		100.00	65	35	94	70	83	81	90	65	74	67	66	61	68	92	84	33	50	67	0
2	Joakim Nygard		X			100.00	58	35	91	68	70	81	84	66	59	65	62	56	64	75	68	36	50	63	0
3	Curtis McKenzie		X			100.00	72	55	71	61	82	79	85	58	64	62	59	61	62	78	73	39	50	63	0
4	Zac Rinaldo	X	X	X		100.00	95	84	56	61	70	73	78	63	67	65	62	58	63	79	72	38	50	63	0
5	Zach Senyshyn			X		100.00	64	35	95	66	79	69	71	65	61	63	62	59	65	67	64	82	50	62	0
6	Yannick Veilleux		X			100.00	71	76	63	64	79	66	71	62	57	61	65	63	67	75	71	51	50	62	0
7	Liam O'Brien		X			100.00	82	63	54	62	80	70	74	60	63	64	60	61	61	73	67	37	50	62	0
8	Luke Philp	X				100.00	60	37	88	61	69	80	85	61	71	58	63	57	62	71	66	42	50	61	0
9	Michael Carcone		X			100.00	63	39	75	61	63	85	90	59	60	58	64	56	62	69	65	52	50	61	0
10	Patrick Khodorenko	X				100.00	65	35	93	58	74	79	73	57	69	61	56	54	57	65	63	45	50	59	0
11	Sam Miletic		X			100.00	65	35	92	57	74	78	83	56	54	59	55	57	58	67	64	53	50	59	0
12	Spencer Smallman			X		100.00	68	43	83	57	77	79	84	58	60	56	53	57	54	69	64	56	50	59	0
13	Cole Reinhardt (R)		X			100.00	64	37	89	56	74	78	83	57	55	56	58	54	59	61	62	52	50	58	0
14	Felix Robert	X				100.00	61	46	79	58	61	73	78	56	70	58	59	53	59	63	62	45	50	58	0
15	Giovanni Fiore		X	X		100.00	66	36	90	55	75	60	65	55	50	52	60	55	58	69	65	42	50	57	0
16	Giorgio Estephan (R)			X		100.00	65	35	93	56	74	65	70	56	60	58	55	56	60	67	64	48	50	57	0
17	Nate Prosser				X	100.00	54	36	95	61	82	83	77	62	30	64	63	66	53	85	75	23	50	65	0
18	Joe Morrow				X	100.00	65	56	69	57	74	78	73	58	30	56	53	54	46	77	69	66	50	60	0
19	Luke Green				X	100.00	66	38	88	51	75	60	65	51	30	50	54	53	45	65	63	64	50	55	0

	TEAM AVERAGE					100.00	69	43	84	61	74	76	78	60	57	61	60	60	59	72	67	49	50	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
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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")
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	Casey DeSmith	100.00	80	83	81	74	79	78	80	79	78	80	79	77	83	48	50	76	0
2	Christopher Gibson	100.00	77	89	88	84	76	75	77	76	75	77	76	77	83	58	50	76	0
Scratches
1	Callum Booth	100.00	77	75	79	83	76	75	77	76	75	77	76	67	71	61	50	74	0
2	Alexei Melnichuk	100.00	75	82	80	78	74	73	75	74	73	75	74	65	70	63	50	72	0
3	Artyom Zagidulin	100.00	72	83	81	76	71	70	72	71	70	72	71	73	76	45	50	71	0

	TEAM AVERAGE	100.00	76	82	82	79	75	74	76	75	74	76	75	72	77	55	50	74

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bob Hartley	72	70	75	73	87	81	59	CAN	60	4	6,300,000$

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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	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	FW	FL	FT	S1	S2	S3
1	Alex Limoges	Bruins (Bos)	C/LW/RW	51	18	22	40	21	14	0	26	59	152	43	100	11.84%	6	825	16.19	4	7	11	26	130	0	0	0	0	18	5	1	60.42%	48	0	2	0.97	0	0	0	0	0	2	6	4
2	Mason Marchment	Boston Bruins	C/LW/RW	30	18	21	39	23	35	5	75	52	103	26	71	17.48%	5	618	20.62	3	8	11	24	120	0	0	0	1	63	2	3	62.96%	621	0	2	1.26	1	1	0	1	0	6	3	1
3	Parker Kelly	Bruins (Bos)	C/LW/RW	51	17	21	38	14	28	0	74	58	169	42	131	10.06%	5	945	18.54	8	7	15	49	220	0	0	0	1	34	4	2	50.67%	75	0	1	0.80	0	0	0	0	0	5	3	1
4	Phillip Di Giuseppe	Bruins (Bos)	LW/RW	51	13	23	36	17	45	5	76	77	160	37	91	8.13%	10	1118	21.92	5	9	14	38	229	1	1	2	6	158	4	0	44.68%	141	0	0	0.64	0	2	0	0	1	1	4	5
5	Jarred Tinordi	Bruins (Bos)	D	49	6	30	36	18	144	30	133	39	86	32	57	6.98%	42	1135	23.18	4	14	18	60	224	0	1	1	1	167	2	1	0.00%	0	0	0	0.63	0	0	1	1	4	0	3	0
6	Joel Kellman	Bruins (Bos)	C	51	17	16	33	18	16	0	49	57	116	17	83	14.66%	10	675	13.24	0	0	0	0	6	0	0	0	0	11	4	2	59.18%	294	0	0	0.98	0	0	0	0	0	4	3	1
7	Nathan Gerbe	Bruins (Bos)	C/LW/RW	51	16	17	33	10	50	0	108	58	123	46	92	13.01%	3	917	18.00	6	6	12	26	210	0	0	0	0	25	2	0	49.32%	73	0	0	0.72	0	0	0	0	0	3	0	3
8	Justin Richards	Bruins (Bos)	C	50	13	20	33	11	16	0	29	118	121	28	92	10.74%	9	915	18.30	3	4	7	13	123	1	0	1	10	143	2	0	57.67%	919	0	0	0.72	1	2	0	0	0	4	4	1
9	Jay Beagle	Boston Bruins	C/RW	37	16	8	24	13	63	15	70	111	109	48	81	14.68%	26	787	21.30	2	1	3	26	110	1	2	3	6	160	3	1	66.20%	1003	0	0	0.61	1	3	1	1	1	4	2	1
10	William Borgen	Bruins (Bos)	D	51	4	17	21	12	49	5	72	30	39	12	26	10.26%	43	1078	21.14	2	7	9	23	184	0	0	0	0	169	1	0	0.00%	0	1	0	0.39	0	0	0	1	0	1	0	1
11	Alexander Yelesin	Bruins (Bos)	D	51	3	17	20	15	57	5	79	31	58	22	29	5.17%	60	1131	22.19	1	7	8	38	217	0	0	0	1	204	1	0	0.00%	0	0	0	0.35	0	0	0	0	1	0	1	0
12	Jimmy Schuldt	Bruins (Bos)	D	51	3	17	20	20	56	0	72	11	15	9	2	20.00%	37	717	14.07	2	0	2	3	18	0	0	0	0	36	0	0	0.00%	0	0	0	0.56	0	0	0	0	0	2	0	2
13	Dylan Gambrell	Bruins (Bos)	C	33	6	8	14	8	18	0	20	36	50	14	38	12.00%	2	354	10.74	1	2	3	11	62	0	0	0	0	26	0	1	61.49%	309	0	0	0.79	0	0	0	0	0	1	1	0
14	Jalen Chatfield	Bruins (Bos)	D	51	2	11	13	24	26	10	19	12	17	5	15	11.76%	20	653	12.81	0	1	1	1	9	0	0	0	0	78	0	1	0.00%	0	0	0	0.40	0	0	0	1	1	0	1	0
15	Cameron Hughes	Bruins (Bos)	C	50	5	7	12	14	8	0	14	20	39	5	21	12.82%	2	239	4.78	0	0	0	1	10	0	0	0	0	9	3	0	65.96%	47	0	0	1.00	0	0	0	0	0	1	1	0
16	Sam Miletic	Bruins (Bos)	LW	12	2	4	6	3	6	0	9	5	11	7	9	18.18%	0	149	12.45	0	0	0	0	0	0	0	0	0	14	1	0	61.54%	13	0	0	0.80	0	0	0	0	0	0	0	1
17	Jack Kopacka	Bruins (Bos)	LW	51	2	3	5	8	8	0	22	15	20	6	10	10.00%	1	279	5.48	0	1	1	0	4	0	0	0	0	27	0	0	48.57%	35	0	0	0.36	0	0	0	0	0	0	0	1
18	Carter Camper	Bruins (Bos)	C	49	0	4	4	-1	5	5	6	8	4	2	3	0.00%	0	112	2.29	0	2	2	1	11	0	0	0	0	56	0	0	49.41%	85	0	0	0.71	0	0	0	0	1	0	0	0
19	Zach Senyshyn	Bruins (Bos)	RW	1	1	0	1	-2	0	0	0	4	4	2	1	25.00%	0	17	17.72	1	0	1	1	2	0	0	0	0	0	0	0	0.00%	0	0	0	1.13	0	0	0	0	0	0	0	0
Team Total or Average				821	162	266	428	246	644	80	953	801	1396	403	952	11.60%	281	12672	15.44	42	76	118	341	1897	3	4	7	26	1403	34	12	60.41%	3663	1	5	0.68	3	8	2	5	9	34	32	22

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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	A	PS %	PSA	ST	BG	S1	S2	S3
1	Christopher Gibson	Bruins (Bos)	47	35	9	3	0.922	1.59	2837	8	10	75	960	0	0.692	13	47	3	4	4	5
2	Casey DeSmith	Bruins (Bos)	3	2	1	0	0.968	0.67	180	0	2	2	63	1	0.000	0	3	47	1	0	0
Team Total or Average			50	37	10	3	0.925	1.53	3017	8	12	77	1023	1	0.692	13	50	50	5	4	5

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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
Alex Limoges	C/LW/RW	24	1997-09-16	No	201 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Alexander Yelesin	D	25	1996-02-07	No	195 Lbs	6 ft0	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Alexei Melnichuk	G	23	1998-06-29	No	190 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Artyom Zagidulin	G	26	1995-08-08	No	180 Lbs	6 ft2	No	No	No	3	RFA	Pro & Farm	900,000$	0$	0$	No	Link / NHL Link
Callum Booth	G	24	1997-05-21	No	184 Lbs	6 ft4	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Cameron Hughes	C	25	1996-10-09	No	160 Lbs	5 ft11	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Carter Camper	C	33	1988-07-06	No	176 Lbs	5 ft9	No	No	No	1	UFA	Pro & Farm	311,002$	0$	0$	No	Link / NHL Link
Casey DeSmith	G	30	1991-08-13	No	181 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	992,933$	0$	0$	No	Link / NHL Link
Christopher Gibson	G	28	1992-12-27	No	217 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Cole Reinhardt	LW	21	2000-02-01	Yes	200 Lbs	6 ft0	No	No	No	4	ELC	Pro & Farm	300,000$	0$	0$	No
Curtis McKenzie	LW	30	1991-02-22	No	205 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Dylan Gambrell	C	25	1996-08-26	No	185 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Felix Robert	C	22	1999-07-24	No	165 Lbs	5 ft8	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Giorgio Estephan	RW	24	1997-02-03	Yes	196 Lbs	6 ft0	No	No	No	4	RFA	Pro & Farm	300,000$	0$	0$	No
Giovanni Fiore	LW/RW	25	1996-08-13	No	188 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jack Kopacka	LW	23	1998-03-05	No	197 Lbs	6 ft2	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jalen Chatfield	D	25	1996-05-15	No	188 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jarred Tinordi	D	29	1992-02-20	No	205 Lbs	6 ft6	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Jimmy Schuldt	D	26	1995-05-11	No	203 Lbs	6 ft1	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Joakim Nygard	LW	28	1993-01-08	No	179 Lbs	6 ft0	No	No	No	3	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Joe Morrow	D	28	1992-12-09	No	196 Lbs	6 ft0	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Joel Kellman	C	27	1994-05-25	No	192 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Justin Richards	C	23	1998-03-17	No	190 Lbs	5 ft11	No	No	No	2	RFA	Pro & Farm	500,000$	0$	0$	No	Link
Liam O'Brien	LW	27	1994-07-29	No	213 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Luke Green	D	23	1998-01-12	No	188 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Luke Philp	C	25	1995-11-06	No	181 Lbs	5 ft11	No	No	No	3	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Michael Carcone	LW	25	1996-05-19	No	170 Lbs	5 ft9	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Nate Prosser	D	35	1986-05-07	No	201 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Nathan Gerbe	C/LW/RW	34	1987-07-24	No	176 Lbs	5 ft4	No	No	No	1	UFA	Pro & Farm	400,000$	0$	0$	No	Link / NHL Link
Parker Kelly	C/LW/RW	22	1999-05-14	No	168 Lbs	5 ft11	No	No	No	2	ELC	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Patrick Khodorenko	C	22	1998-10-13	No	200 Lbs	6 ft0	No	No	No	2	ELC	Pro & Farm	300,000$	0$	0$	No	Link
Patrick Marleau	C/LW/RW	42	1979-09-15	No	215 Lbs	6 ft2	No	No	No	3	UFA	Pro & Farm	700,000$	0$	0$	No	Link / NHL Link
Phillip Di Giuseppe	LW/RW	28	1993-10-09	No	193 Lbs	6 ft0	No	No	No	1	UFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Sam Miletic	LW	24	1997-05-04	No	197 Lbs	6 ft0	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Spencer Smallman	RW	25	1996-09-09	No	198 Lbs	6 ft1	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
William Borgen	D	24	1996-12-19	No	205 Lbs	6 ft3	No	No	No	2	RFA	Pro & Farm	300,000$	0$	0$	No	Link / NHL Link
Yannick Veilleux	LW	28	1993-02-22	No	195 Lbs	6 ft2	No	No	No	2	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Zac Rinaldo	C/LW/RW	31	1990-06-15	No	192 Lbs	5 ft10	No	No	No	1	UFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link
Zach Senyshyn	RW	24	1997-03-30	No	207 Lbs	6 ft1	No	No	No	1	RFA	Pro & Farm	500,000$	0$	0$	No	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
39	26.49	192 Lbs	6 ft0	2.10	402,665$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Phillip Di Giuseppe	Justin Richards	Parker Kelly	40	1	2	2
2	Nathan Gerbe	Dylan Gambrell	Alex Limoges	30	1	2	2
3	Jack Kopacka	Joel Kellman	Cameron Hughes	20	1	2	2
4	Justin Richards	Cameron Hughes	Phillip Di Giuseppe	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jarred Tinordi	William Borgen	40	1	2	2
2	Alexander Yelesin	Jimmy Schuldt	30	1	2	2
3	Jalen Chatfield	Carter Camper	20	1	2	2
4	Jarred Tinordi	William Borgen	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Phillip Di Giuseppe	Justin Richards	Parker Kelly	60	1	2	2
2	Nathan Gerbe	Dylan Gambrell	Alex Limoges	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jarred Tinordi	William Borgen	60	1	2	2
2	Alexander Yelesin	Jimmy Schuldt	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Justin Richards	Phillip Di Giuseppe	60	1	2	2
2	Dylan Gambrell	Parker Kelly	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jarred Tinordi	William Borgen	60	1	2	2
2	Alexander Yelesin	Jimmy Schuldt	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Justin Richards	60	1	2	2	Jarred Tinordi	William Borgen	60	1	2	2
2	Phillip Di Giuseppe	40	1	2	2	Alexander Yelesin	Jimmy Schuldt	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Justin Richards	Phillip Di Giuseppe	60	1	2	2
2	Dylan Gambrell	Parker Kelly	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Jarred Tinordi	William Borgen	60	1	2	2
2	Alexander Yelesin	Jimmy Schuldt	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Phillip Di Giuseppe	Justin Richards	Parker Kelly	Jarred Tinordi	William Borgen

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Phillip Di Giuseppe	Justin Richards	Parker Kelly	Jarred Tinordi	William Borgen

Extra Forwards
Normal	PowerPlay	Penalty Kill
Joel Kellman, Carter Camper, Jack Kopacka	Joel Kellman, Carter Camper	Jack Kopacka

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jalen Chatfield, Alexander Yelesin, Jimmy Schuldt	Jalen Chatfield	Alexander Yelesin, Jimmy Schuldt

Penalty Shots
Justin Richards, Phillip Di Giuseppe, Dylan Gambrell, Parker Kelly, Nathan Gerbe

Goalie
#1 : Christopher Gibson, #2 : Casey DeSmith

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

Custom OT Lines Defensemen
, , , ,

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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.
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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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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
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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
51	77	W1	165	299	464	1527	1045	330	652	961	0	12

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
51	34	11	2	1	1	2	165	84

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
25	16	5	1	1	1	1	75	41

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	18	6	1	0	0	1	90	43

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	1	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
279	46	16.49%	268	20	92.54%	5

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
509	531	474	26	65	44	53	5

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
989	1618	61.12%	821	1424	57.65%	452	740	61.08%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1401	1015	1079	349	599	314

Last Played Games Show or Hide Column

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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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2 - 2021-10-02	13	Bruins	4	Wolves	5	L			BoxScore
3 - 2021-10-03	26	Americans	0	Bruins	1	W			BoxScore
5 - 2021-10-05	38	Rocket	2	Bruins	0	L			BoxScore
7 - 2021-10-07	60	Bruins	6	Palm Springs	0	W			BoxScore
8 - 2021-10-08	69	Rocket	0	Bruins	3	W			BoxScore
10 - 2021-10-10	84	Bruins	5	Condors	3	W			BoxScore
13 - 2021-10-13	105	Comets	2	Bruins	7	W			BoxScore
15 - 2021-10-15	115	Bruins	2	Stars	1	W	X		BoxScore
17 - 2021-10-17	136	IceHogs	2	Bruins	7	W			BoxScore
18 - 2021-10-18	146	Bruins	1	Checkers	2	L			BoxScore
20 - 2021-10-20	166	Bruins	1	Admirals	2	L			BoxScore
21 - 2021-10-21	177	Bruins	3	IceHogs	0	W			BoxScore
23 - 2021-10-23	189	Eagles	1	Bruins	7	W			BoxScore
26 - 2021-10-26	211	Rampage	1	Bruins	2	W			BoxScore
28 - 2021-10-28	227	Bruins	3	Wild	2	W			BoxScore
31 - 2021-10-31	248	Griffins	3	Bruins	4	W	X		BoxScore
32 - 2021-11-01	255	Bruins	3	Rocket	1	W			BoxScore
34 - 2021-11-03	276	Crunch	2	Bruins	3	W			BoxScore
37 - 2021-11-06	294	Bruins	2	Wolves	0	W			BoxScore
38 - 2021-11-07	305	Roadrunners	1	Bruins	5	W			BoxScore
40 - 2021-11-09	324	Bruins	5	Reign	0	W			BoxScore
43 - 2021-11-12	338	Bruins	4	Wolf Pack	3	W			BoxScore
44 - 2021-11-13	348	Gulls	2	Bruins	1	L			BoxScore
46 - 2021-11-15	364	Bruins	1	Rampage	4	L			BoxScore
47 - 2021-11-16	379	Thunderbirds	3	Bruins	2	L	X	X	BoxScore
49 - 2021-11-18	398	Bruins	1	Gulls	3	L			BoxScore
51 - 2021-11-20	410	Rampage	0	Bruins	3	W			BoxScore
53 - 2021-11-22	423	Bruins	1	Wild	2	L	X	X	BoxScore
55 - 2021-11-24	440	Bruins	1	Devils	3	L			BoxScore
56 - 2021-11-25	447	Penguins	0	Bruins	1	W	X	X	BoxScore
58 - 2021-11-27	468	Bruins	4	Bears	3	W			BoxScore
59 - 2021-11-28	479	Checkers	4	Bruins	0	L			BoxScore
62 - 2021-12-01	503	Bruins	4	Rocket	1	W			BoxScore
63 - 2021-12-02	512	Wolves	1	Bruins	3	W			BoxScore
66 - 2021-12-05	537	Bruins	9	IceHogs	2	W			BoxScore
67 - 2021-12-06	543	Heat	6	Bruins	5	L			BoxScore
70 - 2021-12-09	567	Bruins	1	Sound Tigers	0	W			BoxScore
71 - 2021-12-10	575	Griffins	1	Bruins	3	W			BoxScore
73 - 2021-12-12	599	Sound Tigers	1	Bruins	2	W			BoxScore
75 - 2021-12-14	618	Bruins	6	Crunch	2	W			BoxScore
77 - 2021-12-16	633	Bears	2	Bruins	5	W			BoxScore
79 - 2021-12-18	649	Bruins	3	Stars	0	W			BoxScore
81 - 2021-12-20	664	Phantoms	1	Bruins	2	W			BoxScore
83 - 2021-12-22	679	Bruins	5	Moose	0	W			BoxScore
85 - 2021-12-24	698	Stars	0	Bruins	3	W			BoxScore
86 - 2021-12-25	708	Bruins	8	Heat	2	W			BoxScore
89 - 2021-12-28	727	Bruins	4	Barracuda	1	W			BoxScore
90 - 2021-12-29	735	Eagles	2	Bruins	1	L	X		BoxScore
93 - 2022-01-01	759	Bruins	3	Thunderbirds	1	W			BoxScore
94 - 2022-01-02	767	Devils	1	Bruins	0	L			BoxScore
96 - 2022-01-04	789	Wild	3	Bruins	5	W			BoxScore
99 - 2022-01-07	807	Bruins	-	Monsters	-
100 - 2022-01-08	824	IceHogs	-	Bruins	-
102 - 2022-01-10	841	Bruins	-	Checkers	-
103 - 2022-01-11	848	Bruins	-	Phantoms	-
105 - 2022-01-13	862	Bears	-	Bruins	-
107 - 2022-01-15	876	Bruins	-	Thunderbirds	-
109 - 2022-01-17	893	Senators	-	Bruins	-
111 - 2022-01-19	913	Bruins	-	Marlies	-
113 - 2022-01-21	925	Palm Springs	-	Bruins	-
115 - 2022-01-23	950	Condors	-	Bruins	-
117 - 2022-01-25	959	Bruins	-	Griffins	-
119 - 2022-01-27	981	Americans	-	Bruins	-
120 - 2022-01-28	988	Bruins	-	Condors	-
122 - 2022-01-30	1009	Bruins	-	Senators	-
123 - 2022-01-31	1021	Americans	-	Bruins	-
126 - 2022-02-03	1045	Checkers	-	Bruins	-
127 - 2022-02-04	1055	Bruins	-	Eagles	-
130 - 2022-02-07	1079	Wolf Pack	-	Bruins	-
131 - 2022-02-08	1086	Bruins	-	Palm Springs	-
134 - 2022-02-11	1101	Bruins	-	Americans	-
136 - 2022-02-13	1113	Bruins	-	Griffins	-
137 - 2022-02-14	1121	Monsters	-	Bruins	-
Trade Deadline --- Trades can’t be done after this day is simulated!
141 - 2022-02-18	1147	Heat	-	Bruins	-
144 - 2022-02-21	1171	Rocket	-	Bruins	-
148 - 2022-02-25	1201	Comets	-	Bruins	-
150 - 2022-02-27	1220	Bruins	-	Admirals	-
152 - 2022-03-01	1234	Bruins	-	Comets	-
153 - 2022-03-02	1242	Marlies	-	Bruins	-
157 - 2022-03-06	1269	Marlies	-	Bruins	-
161 - 2022-03-10	1292	Admirals	-	Bruins	-
162 - 2022-03-11	1299	Bruins	-	Penguins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Arena Capacity	2000	1000
Ticket Price	35	15
Attendance	46,460	23,674
Attendance PCT	92.92%	94.70%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
16	2805 - 93.51%	69,739$	1,743,465$	3000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries
3,839,204$	157,039$	6,000$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
0$	97,370$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
1,115,818$	67	39,134$	2,621,978$

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
12	82	43	23	0	4	6	3	3	267	190	77	41	23	9	0	2	4	1	2	130	88	42	41	20	14	0	2	2	2	1	137	102	35	109	267	478	745	2	15	0	118	82	60	2382	0	855	786	721	1706	519	1302	1823	489	84	17.18%	544	77	85.85%	5	1617	2697	59.96%	1249	2159	57.85%	693	1159	59.79%	2278	1626	1708	560	988	530
13	76	48	17	0	2	4	3	2	246	143	103	38	25	8	0	2	1	2	0	123	67	56	38	23	9	0	0	3	1	2	123	76	47	112	246	435	681	0	11	0	98	88	55	2093	0	685	703	681	1751	501	934	1611	386	56	14.51%	402	50	87.56%	3	1278	2204	57.99%	1234	2236	55.19%	654	1073	60.95%	2051	1476	1650	518	903	480
14	76	44	22	0	2	5	3	0	215	135	80	38	25	9	0	1	2	1	0	110	69	41	38	19	13	0	1	3	2	0	105	66	39	103	215	380	595	0	11	0	92	69	49	2148	0	727	659	754	1621	437	712	1247	362	42	11.60%	281	36	87.19%	5	1491	2538	58.75%	1162	2173	53.47%	551	1047	52.63%	2028	1461	1640	530	921	484
15	82	40	33	0	2	2	4	1	240	186	54	41	23	13	0	2	1	2	0	129	77	52	41	17	20	0	0	1	2	1	111	109	2	95	240	433	673	1	8	0	88	82	64	2250	0	743	739	755	1852	588	1189	1549	431	77	17.87%	480	70	85.42%	3	1609	2612	61.60%	1339	2291	58.45%	682	1175	58.04%	2220	1594	1747	563	983	516
16	51	34	11	0	2	1	1	2	165	84	81	25	16	5	0	1	1	1	1	75	41	34	26	18	6	0	1	0	0	1	90	43	47	77	165	299	464	0	12	65	44	53	5	1527	509	531	474	26	1045	330	652	961	279	46	16.49%	268	20	92.54%	5	989	1618	61.12%	821	1424	57.65%	452	740	61.08%	1401	1015	1079	349	599	314
Total Regular Season	367	209	106	0	12	18	14	8	1133	738	395	183	112	44	0	8	9	7	3	567	342	225	184	97	62	0	4	9	7	5	566	396	170	496	1133	2025	3158	3	57	65	440	374	233	10400	509	3541	3361	2937	7975	2375	4789	7191	1947	305	15.67%	1975	253	87.19%	21	6984	11669	59.85%	5805	10283	56.45%	3032	5194	58.38%	9980	7175	7826	2522	4396	2327
Playoff
12	4	0	4	0	0	0	0	0	7	14	-7	2	0	2	0	0	0	0	0	4	8	-4	2	0	2	0	0	0	0	0	3	6	-3	0	7	14	21	0	0	0	2	2	3	76	0	32	20	24	100	46	93	81	33	3	9.09%	35	6	82.86%	0	56	123	45.53%	51	134	38.06%	28	72	38.89%	82	53	109	32	48	22
13	6	2	4	0	0	0	0	0	13	15	-2	3	1	2	0	0	0	0	0	7	7	0	3	1	2	0	0	0	0	0	6	8	-2	4	13	23	36	0	1	0	4	2	7	108	0	33	36	36	151	46	128	105	31	3	9.68%	51	9	82.35%	0	70	158	44.30%	103	215	47.91%	45	94	47.87%	139	92	156	48	79	35
14	4	0	4	0	0	0	0	0	4	9	-5	2	0	2	0	0	0	0	0	2	4	-2	2	0	2	0	0	0	0	0	2	5	-3	0	4	8	12	1	0	0	2	2	0	116	0	39	28	39	103	24	56	72	26	1	3.85%	22	3	86.36%	0	77	156	49.36%	73	142	51.41%	36	64	56.25%	103	71	104	32	53	25
15	4	0	4	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	4	7	-3	2	0	2	0	0	0	0	0	1	4	-3	0	5	9	14	0	0	0	1	2	2	80	0	28	27	21	93	30	63	64	29	4	13.79%	28	3	89.29%	0	62	118	52.54%	62	117	52.99%	25	56	44.64%	88	57	111	34	51	24
Total Playoff	18	2	16	0	0	0	0	0	29	49	-20	9	1	8	0	0	0	0	0	17	26	-9	9	1	8	0	0	0	0	0	12	23	-11	4	29	54	83	1	1	0	9	8	12	380	0	132	111	120	447	146	340	322	119	11	9.24%	136	21	84.56%	0	265	555	47.75%	289	608	47.53%	134	286	46.85%	414	274	481	147	232	108