Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension
Career Team Stat

Game Center
	Buffalo 17-16-2, 36pts	0	FINAL	5	Boston 19-16-1, 39pts

Team Stats
L2	Streak	W2
10-7-2	Home Record	11-7-1
7-9-0	Away Record	8-9-0
3-6-1	Last 10 Games	6-4-0
2.69	Goals Per Game	2.67
2.94	Goals Against Per Game	2.58
12.40%	Power Play Percentage	25.98%
85.33%	Penalty Kill Percentage	79.89%

Washington
25-6-3, 53pts

FINAL

Boston
19-16-1, 39pts

Team Stats
L1	Streak	W2
12-2-3	Home Record	11-7-1
13-4-0	Away Record	8-9-0
9-1-0	Last 10 Games	6-4-0
3.35	Goals Per Game	2.67
2.15	Goals Against Per Game	2.58
18.80%	Power Play Percentage	25.98%
88.79%	Penalty Kill Percentage	79.89%

Boston
19-16-1, 39pts

Day 54

Columbus
15-16-4, 34pts

Team Stats
W2	Streak	L1
11-7-1	Home Record	5-9-3
8-9-0	Away Record	10-7-1
6-4-0	Last 10 Games	2-6-2
2.67	Goals Per Game	2.51
2.58	Goals Against Per Game	2.51
25.98%	Power Play Percentage	18.75%
79.89%	Penalty Kill Percentage	85.61%

Columbus
15-16-4, 34pts

Day 55

Boston
19-16-1, 39pts

Team Stats
L1	Streak	W2
5-9-3	Home Record	11-7-1
10-7-1	Away Record	8-9-0
2-6-2	Last 10 Games	6-4-0
2.51	Goals Per Game	2.67
2.94	Goals Against Per Game	2.67
18.75%	Power Play Percentage	25.98%
85.61%	Penalty Kill Percentage	79.89%

Boston
19-16-1, 39pts

Day 57

Washington
25-6-3, 53pts

Team Stats
W2	Streak	L1
11-7-1	Home Record	12-2-3
8-9-0	Away Record	13-4-0
6-4-0	Last 10 Games	9-1-0
2.67	Goals Per Game	3.35
2.58	Goals Against Per Game	3.35
25.98%	Power Play Percentage	18.80%
79.89%	Penalty Kill Percentage	88.79%

Team Leaders
	Goals Tyler Toffoli 14	Assists Brandon Montour 19

	Points Anthony Duclair 32	Plus/Minus Erik Haula 9

	Wins Jeremy Swayman 13	Save Percentage Jeremy Swayman 0.921

Team Stats
Goals For 96 2.67 GFG	Shots For 868 24.11 Avg	Power Play Percentage 26.0% 33 GF	Offensive Zone Start 36.6%
Goals Against 93 2.58 GAA	Shots Against 1015 28.19 Avg	Penalty Kill Percentage 79.9%% 35 GA	Defensive Zone Start 44.0%

Team Info
	General Manager	Pascal
	Division	Atlantic
	Conference	Eastern
	Captain	Brad Marchand
	Assistant #1	Nick Foligno
	Assistant #2	Torey Krug
Arena Info
	Name	TD Garden
	Capacity	17,000
	Attendance	15,341
	Season Tickets	3,400
Roster Info
	Pro Team	24
	Farm Team	7
	Contract Limit	31 / 50
	Prospects	23
Salary Cap
	Estimated Season Salary Cap	60,075,203$
	Available Salary Cap	4,924,797$
	Special Salary Cap Value	0$
	Players In Salary Cap	25
Finance
	Year to Date Revenue	24,732,538$
	Year To Date Expenses	25,914,545$
	Estimated Season Revenue	28,637,676$
	Estimated Season Expenses	34,160,658$
	Current Bank Account	14,061,733$
	Projected Bank Account	8,272,963$
Team History
	This Season	19-16-1 (39PTS)
	History	108-78-17 (0.532%)
	Playoff Appearances	2
	Playoff Record (W-L)	19-11
	Stanley Cup	1

Show or Hide Columns

Filter Tips

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

#	Player Name	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	TA	SP	Age	Contract	Salary
1	Brad Marchand (C)		X			99.00	67	46	75	73	62	76	99	82	52	80	78	68	67	99	84	0	50	80	N	2	36	1	4,900,000$
2	Nick Foligno (A)		X	X		97.00	79	51	78	68	72	74	92	72	52	66	66	73	58	99	80	0	50	76	N	1	36	1	2,700,000$
3	Erik Haula	X	X	X		98.00	66	44	79	74	67	72	93	73	60	64	65	71	58	79	68	0	50	74	N	0	33	1	1,900,000$
4	Danton Heinen		X	X		99.00	67	41	86	75	71	67	92	74	49	65	66	70	58	65	59	0	50	74		0	28	1	1,300,000$
5	Miles Wood		X	X		100.00	72	55	63	84	71	65	92	71	47	62	51	69	51	65	59	0	50	71		0	28	6	2,200,000$
6	Curtis Lazar	X	X	X		100.00	84	55	75	75	71	63	89	68	48	64	49	69	50	68	60	0	50	71		0	29	2	900,000$
7	Andreas Athanasiou	X	X	X		100.00	63	42	80	80	70	64	50	69	47	61	50	58	50	65	57	0	50	67		0	29	1	2,800,000$
8	Taylor Hall		X			100.00	63	60	44	71	73	71	34	70	50	66	59	56	55	88	72	0	50	67	N	0	32	2	4,400,000$
9	Mark Kastelic	X		X		100.00	87	75	37	68	79	53	82	57	49	43	45	63	48	43	50	0	50	63		0	25	3	800,000$
10	Justin Brazeau			X		100.00	65	42	81	54	79	60	42	58	43	47	58	60	54	34	31	0	50	61		0	26	1	775,000$
11	Marc McLaughlin (R)	X		X		100.00	60	50	61	68	70	63	26	63	34	55	52	56	51	34	43	0	53	59		0	24	1	800,000$
12	Georgii Merkulov (R)	X	X	X		100.00	49	38	73	70	64	59	29	62	21	46	55	45	53	33	41	0	56	57		0	23	1	925,000$
13	Torey Krug (A)				X	99.00	63	37	90	75	66	75	94	69	48	79	40	68	45	85	73	0	50	75	N	1	33	3	4,900,000$
14	Brandon Montour				X	100.00	65	40	85	77	70	78	84	68	48	75	51	67	51	68	60	0	50	74		0	30	4	3,600,000$
15	Nikita Zadorov				X	99.00	76	62	53	77	86	66	93	66	47	58	45	78	48	76	62	0	50	74		0	29	4	3,500,000$
16	Samuel Girard				X	99.00	67	36	95	82	62	70	78	69	48	64	40	75	45	65	59	0	50	73		0	26	1	4,500,000$
17	Connor Clifton				X	100.00	82	58	67	75	67	64	96	63	46	56	40	73	45	54	55	0	50	71		0	29	2	900,000$
18	Carson Soucy				X	98.21	69	40	89	73	77	66	61	61	45	47	40	78	45	52	52	0	50	69		0	29	2	2,200,000$
Scratches
1	Tyler Toffoli	X	X	X		91.92	62	34	94	75	71	72	96	79	50	66	82	63	66	87	72	0	50	78		1	32	1	3,300,000$
2	Anthony Duclair		X	X		89.36	62	39	85	77	68	70	91	77	50	64	75	62	66	71	64	0	50	75		1	28	3	2,900,000$
3	Dakota Mermis				X	100.00	65	45	75	69	69	59	67	55	43	46	43	65	47	38	47	0	50	63		0	30	7	1,200,000$
Farm Team
1	Adam Ruzicka	X				100.00	57	36	86	72	77	58	63	60	44	51	42	57	46	41	47	0	53	62		0	25	3	1,200,000$
2	Vinni Lettieri	X				100.00	69	48	73	71	65	57	66	60	45	45	49	58	50	42	47	0	50	62		0	29	2	500,000$
3	Cole Koepke		X			100.00	66	49	69	70	72	51	33	62	46	54	48	53	49	35	50	0	52	60		0	26	6	900,000$
4	Oskar Steen	X				100.00	77	45	88	68	67	56	56	52	42	34	38	59	44	37	45	0	50	59		0	26	3	700,000$
5	Rem Pitlick	X				100.00	57	53	51	66	66	69	33	61	46	50	53	49	56	42	47	0	50	59		0	27	2	1,000,000$
6	Joona Koppanen	X	X			100.00	53	40	73	71	78	54	29	60	36	46	47	65	49	34	39	0	50	59		0	26	3	800,000$
7	Victor Mete				X	100.00	51	50	51	79	64	53	26	62	46	63	45	58	48	50	49	0	50	60		0	26	3	1,000,000$

	TEAM AVERAGE					98.91	67	47	73	73	71	64	67	66	46	58	53	64	52	59	56	0	51	68

Show or Hide Columns

Filter Tips

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

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Jeremy Swayman	97.00	72	76	76	72	67	74	75	74	75	71	67	38	33	0	50	75	1	25	1	900,000$
2	Elvis Merzlikins	100.00	68	74	74	70	62	65	66	67	70	65	90	44	42	0	50	71	0	30	3	5,400,000$
Scratches
1	Cal Petersen	100.00	64	53	53	69	58	65	66	64	67	62	71	36	46	0	50	67	0	29	2	1,300,000$
Farm Team

	TEAM AVERAGE	99.00	68	68	68	70	62	68	69	68	71	66	76	39	40	0	50	71

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

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Anthony Duclair	Boston	LW/RW	36	14	18	32	2	2	0	20	38	107	28	69	13.08%	3	563	15.66	6	14	20	27	103	0	1	3	0	34.15%	41	0	0	1.14	0	1	0	0	0	3	2	0
2	Brad Marchand	Boston	LW	35	14	16	30	3	12	0	31	39	116	30	83	12.07%	8	632	18.07	7	7	14	26	103	0	26	0	0	49.23%	65	0	1	0.95	0	1	0	0	0	3	4	1
3	Tyler Toffoli	Boston	C/LW/RW	34	14	15	29	-1	2	0	11	51	101	31	82	13.86%	1	572	16.84	7	10	17	30	100	0	3	3	0	49.70%	676	0	2	1.01	0	1	0	0	0	2	1	4
4	Brandon Montour	Boston	D	30	5	19	24	4	34	0	55	30	36	9	25	13.89%	31	622	20.74	2	10	12	25	83	0	32	1	1	0%	0	0	0	0.77	0	0	0	0	0	0	1	4
5	Erik Haula	Boston	C/LW/RW	36	6	14	20	9	12	0	39	84	70	21	56	8.57%	7	708	19.68	0	4	4	19	96	5	161	1	1	51.79%	921	0	0	0.56	0	0	0	0	0	1	1	1
6	Nick Foligno	Boston	LW/RW	34	8	11	19	6	24	0	52	24	74	21	59	10.81%	8	702	20.67	3	7	10	20	99	1	149	2	0	40.82%	49	0	0	0.54	1	1	0	0	0	0	0	2
7	Torey Krug	Boston	D	36	2	14	16	1	30	0	35	33	28	4	22	7.14%	40	799	22.22	2	1	3	15	93	0	80	0	0	0%	0	0	0	0.40	0	0	0	0	0	1	1	0
8	Danton Heinen	Boston	LW/RW	36	7	7	14	2	6	0	6	46	61	25	44	11.48%	2	606	16.85	2	2	4	26	92	1	101	1	0	54.55%	44	0	0	0.46	0	0	0	0	0	1	0	1
9	Miles Wood	Boston	LW/RW	36	6	7	13	-1	10	0	38	36	46	15	43	13.04%	3	473	13.16	0	0	0	4	22	1	47	3	0	38.89%	54	1	0	0.55	0	0	0	0	0	0	2	2
10	Taylor Hall	Boston	LW	36	3	9	12	7	20	0	71	20	42	17	26	7.14%	2	516	14.35	1	3	4	11	91	0	0	0	2	53.85%	39	0	0	0.46	0	0	0	0	0	0	0	3
11	Nikita Zadorov	Boston	D	36	1	9	10	-2	91	15	96	18	18	9	21	5.56%	45	685	19.04	1	0	1	4	12	1	114	1	0	0%	0	0	0	0.29	0	0	1	0	1	0	0	0
12	Curtis Lazar	Boston	C/LW/RW	36	4	6	10	-1	27	5	58	54	44	11	26	9.09%	4	500	13.91	0	0	0	0	1	2	94	0	0	46.25%	560	0	0	0.40	0	0	0	1	0	0	1	1
13	Andreas Athanasiou	Boston	C/LW/RW	36	5	4	9	-5	4	0	5	29	36	7	43	13.89%	5	434	12.06	2	0	2	13	86	0	15	1	0	31.82%	66	0	0	0.41	0	0	0	0	0	0	1	0
14	Connor Clifton	Boston	D	36	1	7	8	4	70	10	83	22	16	6	11	6.25%	36	606	16.86	0	1	1	6	14	1	107	0	0	0%	0	0	0	0.26	0	0	0	0	2	0	0	0
15	Samuel Girard	Boston	D	36	0	8	8	-1	14	0	18	38	18	8	15	0%	45	712	19.80	0	1	1	4	21	1	121	0	0	0%	0	0	0	0.22	0	0	0	0	0	0	0	1
16	Carson Soucy	Boston	D	36	2	1	3	5	12	0	20	33	17	3	4	11.76%	38	609	16.94	0	0	0	0	0	0	134	1	1	0%	0	0	0	0.10	0	0	0	0	0	1	0	0
17	Mark Kastelic	Boston	C/RW	36	2	1	3	-4	28	0	46	25	20	3	6	10.00%	4	315	8.76	0	0	0	0	1	0	0	1	0	43.26%	282	0	0	0.19	0	0	0	0	0	0	1	1
18	Justin Brazeau	Boston	RW	30	0	2	2	-5	0	0	0	5	8	2	10	0%	1	257	8.59	0	0	0	0	3	0	0	0	0	25.00%	20	0	0	0.16	0	0	0	0	0	0	0	0
19	Dakota Mermis	Boston	D	8	0	1	1	-1	0	0	3	0	3	1	1	0%	5	89	11.14	0	0	0	0	1	0	10	0	0	0%	0	0	0	0.22	0	0	0	0	0	0	0	0
20	Marc McLaughlin	Farm Team 1 (BOS)	C/RW	3	1	0	1	1	0	0	1	3	5	0	2	20.00%	0	32	10.73	0	0	0	0	0	0	0	0	0	0%	1	0	0	0.62	0	0	0	0	0	1	0	0
21	Georgii Merkulov	Boston	C/LW/RW	6	0	0	0	0	0	0	0	0	2	0	0	0%	0	56	9.46	0	0	0	0	0	0	2	0	0	25.00%	4	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				648	95	169	264	23	398	30	688	628	868	251	648	10.94%	288	10500	16.20	33	60	93	230	1029	13	1206	18	5	47.94%	2822	1	3	0.50	1	4	1	1	3	13	15	21

Show or Hide Columns

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S3
1	Jeremy Swayman	Boston	24	13	7	0	0.921	2.23	1185	2	44	559	0	2	0	0	20	16	4	1
2	Elvis Merzlikins	Boston	16	6	6	1	0.905	2.55	823	0	35	369	1	0	1.000	4	13	18	1	0
3	Cal Petersen	Boston	4	1	2	1	0.923	2.61	184	0	8	104	0	0	0.600	5	2	9	0	0
Team Total or Average			44	20	15	2	0.916	2.38	2193	2	87	1032	1	2		9	35	43	5	1

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Andreas Athanasiou (1 Way Contract)	Boston	C/LW/RW	29	1994-08-06	CAN	No	190 Lbs	6 ft2	No	No	N/A		Yes	Yes	1	2024-07-13	False	False	Pro & Farm	2,800,000$	2,800,000$	1,583,607$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Anthony Duclair (1 Way Contract)	Boston	LW/RW	28	1995-08-26	CAN	No	197 Lbs	5 ft11	No	No	N/A		Yes	Yes	3	2024-07-27	False	False	Pro & Farm	2,900,000$	2,900,000$	1,640,164$	No	2,900,000$	2,900,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Brad Marchand (1 Way Contract)	Boston	LW	36	1988-05-11	CAN	No	176 Lbs	5 ft9	Yes	No	N/A		Yes	Yes	1	2024-07-13	False	False	Pro & Farm	4,900,000$	4,900,000$	2,771,311$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Brandon Montour (1 Way Contract)	Boston	D	30	1994-04-11	CAN	No	199 Lbs	6 ft0	No	No	N/A		Yes	Yes	4	2024-07-13	False	False	Pro & Farm	3,600,000$	3,600,000$	2,036,066$	No	3,600,000$	3,600,000$	3,600,000$	-	-	-	-	-	-	3,600,000$	3,600,000$	3,600,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	NHL Link
Cal Petersen	Boston	G	29	1994-10-19	USA	No	185 Lbs	6 ft2	No	No	Trade	2024-09-25	Yes	Yes	2	2024-07-13	False	False	Pro & Farm	1,300,000$	1,300,000$	735,246$	No	1,300,000$	-	-	-	-	-	-	-	-	1,300,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Carson Soucy (1 Way Contract)	Boston	D	29	1994-07-27	CAN	No	208 Lbs	6 ft5	No	No	N/A		Yes	Yes	2	2024-07-13	False	False	Pro & Farm	2,200,000$	2,200,000$	1,244,262$	No	2,200,000$	-	-	-	-	-	-	-	-	2,200,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Connor Clifton (1 Way Contract)	Boston	D	29	1995-04-28	USA	No	192 Lbs	5 ft11	No	No	N/A		Yes	Yes	2	2024-07-13	False	False	Pro & Farm	900,000$	900,000$	509,016$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Curtis Lazar (1 Way Contract)	Boston	C/LW/RW	29	1995-02-02	CAN	No	203 Lbs	6 ft0	No	No	N/A		Yes	Yes	2	2024-07-13	False	False	Pro & Farm	900,000$	900,000$	509,016$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Dakota Mermis	Boston	D	30	1994-01-05	USA	No	195 Lbs	6 ft0	No	No	N/A		Yes	Yes	7	2024-07-27	False	False	Pro & Farm	1,200,000$	1,200,000$	678,689$	No	1,200,000$	1,200,000$	1,200,000$	1,200,000$	1,200,000$	1,200,000$	-	-	-	-	-	-	-	-	-	-	-	-	No	No	No	No	No	No	-	-	-	Link / NHL Link
Danton Heinen (1 Way Contract)	Boston	LW/RW	28	1995-07-05	CAN	No	195 Lbs	6 ft2	No	No	N/A		Yes	Yes	1	2024-07-13	False	False	Pro & Farm	1,300,000$	1,300,000$	735,246$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Elvis Merzlikins (1 Way Contract)	Boston	G	30	1994-04-13	LVA	No	184 Lbs	6 ft3	No	No	N/A		Yes	Yes	3	2024-07-13	False	False	Pro & Farm	5,400,000$	5,400,000$	3,054,098$	No	5,400,000$	5,400,000$	-	-	-	-	-	-	-	5,400,000$	5,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Erik Haula (1 Way Contract)	Boston	C/LW/RW	33	1991-03-23	FIN	No	191 Lbs	5 ft11	Yes	No	N/A		Yes	Yes	1	2024-07-13	False	False	Pro & Farm	1,900,000$	1,900,000$	1,074,590$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Georgii Merkulov	Boston	C/LW/RW	23	2000-10-10	RUS	Yes	176 Lbs	5 ft11	No	No	Assign Manually		No	No	1	2024-07-13	False	False	Pro & Farm	925,000$	925,000$	523,156$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jeremy Swayman (1 Way Contract)	Boston	G	25	1998-11-24	USA	No	195 Lbs	6 ft3	No	No	N/A		Yes	Yes	1	2024-07-13	False	False	Pro & Farm	900,000$	900,000$	509,016$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Justin Brazeau	Boston	RW	26	1998-02-02	CAN	No	220 Lbs	6 ft5	No	No	Assign Manually		Yes	Yes	1	2024-07-13	False	False	Pro & Farm	775,000$	775,000$	438,320$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Marc McLaughlin	Farm Team 1 (BOS)	C/RW	24	1999-07-26	USA	Yes	199 Lbs	6 ft0	No	No	N/A		No	No	1	2024-07-13	False	False	Pro & Farm	800,000$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Mark Kastelic	Boston	C/RW	25	1999-03-11	USA	No	226 Lbs	6 ft4	No	No	Trade	2024-07-15	Yes	Yes	3	2024-07-13	False	False	Pro & Farm	800,000$	800,000$	452,459$	No	800,000$	800,000$	-	-	-	-	-	-	-	800,000$	800,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Miles Wood (1 Way Contract)	Boston	LW/RW	28	1995-09-13	USA	No	195 Lbs	6 ft2	No	No	Trade	2024-07-15	Yes	Yes	6	2024-07-13	False	False	Pro & Farm	2,200,000$	2,200,000$	1,244,262$	No	2,200,000$	2,200,000$	2,200,000$	2,200,000$	2,200,000$	-	-	-	-	2,200,000$	2,200,000$	2,200,000$	2,200,000$	2,200,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	NHL Link
Nick Foligno (1 Way Contract)	Boston	LW/RW	36	1987-10-31	USA	No	210 Lbs	6 ft0	Yes	No	N/A		Yes	Yes	1	2024-07-27	False	False	Pro & Farm	2,700,000$	2,700,000$	1,527,049$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	NHL Link
Nikita Zadorov (1 Way Contract)	Boston	D	29	1995-04-16	RUS	No	248 Lbs	6 ft6	No	No	Trade	2024-07-15	Yes	Yes	4	2024-07-13	False	False	Pro & Farm	3,500,000$	3,500,000$	1,979,508$	No	3,500,000$	3,500,000$	3,500,000$	-	-	-	-	-	-	3,500,000$	3,500,000$	3,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Samuel Girard (1 Way Contract)	Boston	D	26	1998-05-12	CAN	No	170 Lbs	5 ft10	No	No	N/A		Yes	Yes	1	2024-07-30	False	False	Pro & Farm	4,500,000$	4,500,000$	2,545,082$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Taylor Hall (1 Way Contract)	Boston	LW	32	1991-11-14	CAN	No	210 Lbs	6 ft1	Yes	No	N/A		Yes	Yes	2	2024-07-13	False	False	Pro & Farm	4,400,000$	4,400,000$	2,488,525$	No	4,400,000$	-	-	-	-	-	-	-	-	4,400,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	NHL Link
Torey Krug (1 Way Contract)	Boston	D	33	1991-04-12	USA	No	194 Lbs	5 ft9	Yes	No	N/A		Yes	Yes	3	2024-07-13	False	False	Pro & Farm	4,900,000$	4,900,000$	2,771,311$	No	4,900,000$	4,900,000$	-	-	-	-	-	-	-	4,900,000$	4,900,000$	-	-	-	-	-	-	-	Yes	Yes	-	-	-	-	-	-	-	NHL Link
Tyler Toffoli (1 Way Contract)	Boston	C/LW/RW	32	1992-04-24	CAN	No	203 Lbs	6 ft0	No	No	N/A		Yes	Yes	1	2024-07-13	False	False	Pro & Farm	3,300,000$	3,300,000$	1,866,393$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	29.13	198 Lbs	6 ft1	2.25	2,458,333$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
59,000,000$	34,200,000$	24,500,000$	10,500,000$	3,400,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brad Marchand	Erik Haula	Nick Foligno	32	0	1	4
2	Taylor Hall	Andreas Athanasiou	Danton Heinen	28	0	1	4
3	Miles Wood	Curtis Lazar	Marc McLaughlin	24	0	2	3
4	Georgii Merkulov	Mark Kastelic	Justin Brazeau	16	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Torey Krug	Brandon Montour	36	0	3	2
2	Samuel Girard	Nikita Zadorov	32	0	3	2
3	Carson Soucy	Connor Clifton	24	0	3	2
4	Torey Krug	Nikita Zadorov	8	0	3	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brad Marchand	Erik Haula	Danton Heinen	60	0	0	5
2	Taylor Hall	Andreas Athanasiou	Miles Wood	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brandon Montour	Nick Foligno	60	0	1	4
2	Torey Krug	Nikita Zadorov	40	0	1	4

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Erik Haula	Nick Foligno	60	0	3	2
2	Curtis Lazar	Danton Heinen	40	0	3	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Nikita Zadorov	Carson Soucy	60	0	5	0
2	Samuel Girard	Connor Clifton	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Nick Foligno	60	0	4	1	Nikita Zadorov	Carson Soucy	60	0	5	0
2	Erik Haula	40	0	4	1	Samuel Girard	Connor Clifton	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Erik Haula	Brad Marchand	60	0	1	4
2	Andreas Athanasiou	Nick Foligno	40	0	1	4

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Torey Krug	Brandon Montour	60	0	3	2
2	Nikita Zadorov	Connor Clifton	40	0	3	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brad Marchand	Erik Haula	Nick Foligno	Torey Krug	Brandon Montour

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Danton Heinen	Erik Haula	Nick Foligno	Nikita Zadorov	Carson Soucy

Extra Forwards
Normal	PowerPlay	Penalty Kill
Danton Heinen, Miles Wood, Brad Marchand	Justin Brazeau, Marc McLaughlin	Miles Wood

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Samuel Girard, Connor Clifton, Torey Krug	Connor Clifton	Torey Krug, Brandon Montour

Penalty Shots
Brad Marchand, Nick Foligno, Danton Heinen, Erik Haula, Taylor Hall

Goalie
#1 : Elvis Merzlikins, #2 : Jeremy Swayman, #3 : 0

Custom OT Lines Forwards
Brad Marchand, Nick Foligno, Danton Heinen, Erik Haula, Taylor Hall, Miles Wood, Miles Wood, Andreas Athanasiou, Justin Brazeau, Curtis Lazar, Marc McLaughlin

Custom OT Lines Defensemen
Torey Krug, Brandon Montour, Samuel Girard, Nikita Zadorov, Connor Clifton

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Buffalo	1	1	0	0	0	0	0	0	5	0	5	1	1	0	0	0	0	0	0	5	0	5	0	0	0	0	0	0	0	0	0	0	0	2	1.000	5	9	14	0	1	2	0	3	0	21	9	3	9	0	30	12	26	20	1	0	0.00%	8	0	100.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	17	10	29	7	13	6
2	Calgary	2	2	0	0	0	0	0	0	8	6	2	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	13	21	0	0	4	3	1	0	65	24	21	20	0	51	9	8	39	12	4	33.33%	4	0	100.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	48	33	45	15	26	12
3	Carolina	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	1	0	2	0	0	0	18	10	4	4	0	46	5	10	12	3	1	33.33%	5	1	80.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	20	13	26	7	13	6
4	Chicago	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	2	-2	0	0.000	0	0	0	0	0	0	0	0	0	19	5	8	6	0	26	2	6	12	1	0	0.00%	3	1	66.67%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	22	15	24	7	12	6
5	Colorado	1	0	1	0	0	0	0	0	1	5	-4	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	1	0	0	0	17	6	9	2	0	37	11	16	10	2	0	0.00%	8	2	75.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	19	12	29	7	11	5
6	Columbus	1	0	0	0	0	1	0	0	1	2	-1	1	0	0	0	0	1	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	1	2	3	0	0	1	0	0	0	29	8	10	6	5	29	8	10	14	6	1	16.67%	5	0	100.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	27	18	24	7	12	6
7	Dallas	2	1	0	0	0	0	1	0	5	1	4	1	1	0	0	0	0	0	0	3	0	3	1	0	0	0	0	0	1	0	2	1	1	4	1.000	5	7	12	0	1	0	2	2	1	67	17	24	23	7	46	11	25	39	8	1	12.50%	9	1	88.89%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	50	35	48	14	25	12
8	Detroit	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	2	2	4	1.000	7	13	20	0	0	3	1	3	0	43	16	10	17	0	53	19	22	45	5	3	60.00%	11	1	90.91%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	41	27	51	15	26	13
9	Edmonton	1	0	1	0	0	0	0	0	1	2	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	1	2	-1	0	0.000	1	2	3	0	0	0	0	1	0	20	7	5	8	0	26	6	14	13	4	0	0.00%	7	2	71.43%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	21	13	27	8	11	5
10	Florida	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	4	7	11	0	0	1	2	1	0	50	20	13	17	0	76	20	18	35	10	2	20.00%	9	2	77.78%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	47	33	48	14	23	11
11	Los Angeles	1	0	1	0	0	0	0	0	4	5	-1	1	0	1	0	0	0	0	0	4	5	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	7	11	0	0	3	1	0	0	35	11	15	9	0	27	9	6	17	2	1	50.00%	2	1	50.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	23	15	23	6	13	7
12	Montreal	2	1	1	0	0	0	0	0	9	6	3	2	1	1	0	0	0	0	0	9	6	3	0	0	0	0	0	0	0	0	0	0	0	2	0.500	9	14	23	0	0	4	0	5	0	55	21	13	21	0	63	20	20	42	8	3	37.50%	9	1	88.89%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	49	34	47	13	23	12
13	NY Isles	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	4	3	1	2	1.000	4	7	11	0	0	2	2	0	0	32	14	10	8	0	26	3	2	21	5	1	20.00%	1	1	0.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	25	18	22	7	11	6
14	Nashville	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	1	0	2	0	28	8	8	12	0	20	7	6	20	4	0	0.00%	3	1	66.67%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	23	16	23	7	12	6
15	Ottawa	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	4	6	0	0	1	1	0	0	27	11	9	7	0	20	1	4	16	6	1	16.67%	2	1	50.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	24	17	21	7	13	6
16	Philadelphia	3	2	1	0	0	0	0	0	11	8	3	2	1	1	0	0	0	0	0	8	7	1	1	1	0	0	0	0	0	0	3	1	2	4	0.667	11	21	32	0	0	3	4	4	0	77	24	30	23	0	90	21	34	51	12	4	33.33%	15	3	80.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	66	45	77	20	36	17
17	Pittsburgh	1	0	1	0	0	0	0	0	0	2	-2	1	0	1	0	0	0	0	0	0	2	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	14	2	7	5	0	27	10	15	23	2	0	0.00%	5	2	60.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	21	14	24	7	13	7
18	Seattle	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	4	7	11	0	0	2	1	1	0	43	11	18	14	0	49	15	43	52	5	1	20.00%	14	4	71.43%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	48	33	46	14	24	11
19	St-Louis	2	0	2	0	0	0	0	0	3	7	-4	1	0	1	0	0	0	0	0	1	4	-3	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	3	6	9	1	0	2	0	1	0	30	6	11	13	0	55	28	31	36	8	2	25.00%	14	1	92.86%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	39	24	54	17	25	11
20	Toronto	2	2	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	4	8	12	0	1	1	1	2	0	52	19	16	17	0	36	12	20	37	7	2	28.57%	9	1	88.89%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	48	32	45	16	26	13
21	Utah	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	0	1	-1	0	0.000	4	7	11	0	0	1	3	0	0	38	11	20	7	0	54	21	26	40	4	1	25.00%	13	3	76.92%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	41	27	53	13	24	10
22	Vancouver	2	2	0	0	0	0	0	0	8	5	3	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	3	2	4	1.000	8	14	22	0	0	1	4	3	0	50	11	22	17	0	58	12	16	55	7	2	28.57%	8	2	75.00%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	44	30	49	15	25	11
23	Washington	1	1	0	0	0	0	0	0	4	3	1	1	1	0	0	0	0	0	0	4	3	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	0	1	3	0	0	18	7	7	4	0	41	17	14	17	3	2	66.67%	7	2	71.43%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	19	12	27	8	13	6
24	Winnipeg	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	3	-1	0	0.000	2	2	4	0	0	1	0	1	0	20	9	3	8	0	29	9	6	22	2	1	50.00%	3	2	33.33%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	21	14	25	6	13	6
	Total	36	18	16	0	0	1	1	0	96	93	3	19	11	7	0	0	1	0	0	59	49	10	17	7	9	0	0	0	1	0	37	44	-7	39	0.542	96	169	265	2	3	37	28	30	1	868	287	296	277	12	1015	288	398	688	127	33	25.98%	174	35	79.89%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	815	550	898	272	454	221
	_Since Last GM Reset	36	18	16	0	0	1	1	0	96	93	3	19	11	7	0	0	1	0	0	59	49	10	17	7	9	0	0	0	1	0	37	44	-7	39	0.542	96	169	265	2	3	37	28	30	1	868	287	296	277	12	1015	288	398	688	127	33	25.98%	174	35	79.89%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	815	550	898	272	454	221
	_Vs Conference	18	12	5	0	0	1	0	0	53	39	14	12	8	3	0	0	1	0	0	37	24	13	6	4	2	0	0	0	0	0	16	15	1	25	0.694	53	96	149	1	2	21	14	18	0	436	161	132	138	5	537	148	195	333	68	20	29.41%	86	15	82.56%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	410	278	446	135	226	113
	_Vs Division	10	8	2	0	0	0	0	0	31	17	14	7	6	1	0	0	0	0	0	24	10	14	3	2	1	0	0	0	0	0	7	7	0	16	0.800	31	55	86	0	2	12	5	14	0	248	96	64	88	0	278	84	110	195	37	11	29.73%	48	6	87.50%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	229	155	244	75	126	63

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
36	39	W2	96	169	265	868	1015	288	398	688	2	3

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
36	18	16	0	1	1	0	96	93

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
19	11	7	0	1	0	0	59	49

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
17	7	9	0	0	1	0	37	44

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
127	33	25.98%	174	35	79.89%	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
287	296	277	12	37	28	30	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
486	1028	47.28%	598	1237	48.34%	269	544	49.45%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
815	550	898	272	454	221

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2	4	Boston	1	Florida	4	L			BoxScore
3	11	Montreal	3	Boston	7	W			BoxScore
4	24	Los Angeles	5	Boston	4	L			BoxScore
5	42	Florida	1	Boston	3	W			BoxScore
6	59	Boston	1	Colorado	5	L			BoxScore
8	86	Boston	0	Utah	1	L			BoxScore
10	101	Boston	3	Nashville	2	W			BoxScore
11	109	Dallas	0	Boston	3	W			BoxScore
12	125	Toronto	0	Boston	2	W			BoxScore
14	148	Philadelphia	4	Boston	2	L			BoxScore
16	165	Boston	2	Carolina	4	L			BoxScore
17	174	Boston	3	Philadelphia	1	W			BoxScore
18	187	Seattle	5	Boston	3	L			BoxScore
19	195	Boston	2	Toronto	1	W			BoxScore
20	208	Calgary	3	Boston	4	W			BoxScore
21	226	Ottawa	1	Boston	2	W			BoxScore
24	248	Boston	2	St-Louis	3	L			BoxScore
25	262	Boston	2	Dallas	1	W	X	X	BoxScore
26	272	St-Louis	4	Boston	1	L			BoxScore
28	288	Columbus	2	Boston	1	L	X		BoxScore
30	306	Utah	6	Boston	4	L			BoxScore
32	324	Boston	4	Detroit	2	W			BoxScore
33	345	Vancouver	2	Boston	3	W			BoxScore
34	353	Boston	4	NY Isles	3	W			BoxScore
36	372	Pittsburgh	2	Boston	0	L			BoxScore
38	389	Montreal	3	Boston	2	L			BoxScore
39	396	Detroit	2	Boston	3	W			BoxScore
40	407	Boston	0	Chicago	2	L			BoxScore
42	425	Philadelphia	3	Boston	6	W			BoxScore
44	452	Boston	2	Winnipeg	3	L			BoxScore
46	472	Boston	1	Seattle	4	L			BoxScore
47	486	Boston	5	Vancouver	3	W			BoxScore
49	504	Boston	4	Calgary	3	W			BoxScore
50	518	Boston	1	Edmonton	2	L			BoxScore
51	531	Buffalo	0	Boston	5	W			BoxScore
53	547	Washington	3	Boston	4	W			BoxScore
54	561	Boston	-	Columbus	-
55	570	Columbus	-	Boston	-
57	589	Boston	-	Washington	-
58	604	Boston	-	NY Rangers	-
59	623	Boston	-	Toronto	-
60	633	NY Isles	-	Boston	-
61	641	Edmonton	-	Boston	-
63	655	Boston	-	Tampa Bay	-
64	669	Boston	-	Florida	-
67	692	Tampa Bay	-	Boston	-
69	723	Boston	-	Ottawa	-
70	740	San Jose	-	Boston	-
71	758	Boston	-	New Jersey	-
72	761	Ottawa	-	Boston	-
73	776	Colorado	-	Boston	-
75	799	Boston	-	Buffalo	-
77	812	Winnipeg	-	Boston	-
78	827	NY Rangers	-	Boston	-
79	845	Minnesota	-	Boston	-
80	859	Boston	-	NY Rangers	-
82	879	Las Vegas	-	Boston	-
84	899	Anaheim	-	Boston	-
86	918	Toronto	-	Boston	-
87	933	NY Isles	-	Boston	-
89	952	Boston	-	Pittsburgh	-
90	962	Boston	-	Minnesota	-
91	973	Nashville	-	Boston	-
93	992	Boston	-	Carolina	-
94	1005	Boston	-	Tampa Bay	-
96	1025	Florida	-	Boston	-
Trade Deadline --- Trades can’t be done after this day is simulated!
98	1041	Boston	-	Ottawa	-
99	1058	Tampa Bay	-	Boston	-
101	1073	Buffalo	-	Boston	-
103	1101	Boston	-	Las Vegas	-
104	1117	Boston	-	San Jose	-
105	1124	Boston	-	Los Angeles	-
106	1142	Boston	-	Anaheim	-
109	1166	Boston	-	Detroit	-
110	1182	Washington	-	Boston	-
111	1197	Boston	-	Montreal	-
113	1214	Carolina	-	Boston	-
114	1226	Boston	-	Buffalo	-
115	1238	Boston	-	New Jersey	-
116	1250	Chicago	-	Boston	-
119	1278	Boston	-	Pittsburgh	-
120	1291	New Jersey	-	Boston	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	5300	5300	2200	4100	100
Ticket Price	169	103	69	48	324
Attendance	89,120	91,220	38,053	71,911	1,177
Attendance PCT	88.50%	90.59%	91.04%	92.31%	61.95%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
22	15341 - 90.24%	1,301,713$	24,732,538$	17000	116

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
25,914,545$	60,400,000$	49,100,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
495,082$	25,914,545$	0$	25	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
28,637,676$	69	495,082$	34,160,658$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
34,426,446$	14,061,733$	8,272,963$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
60,075,203$	4,924,797$	65,000,000$	15,075,203$

Depth Chart

Left Wing

Center

Right Wing

Brad Marchand	AGE:36	PO:0	OV:80
Tyler Toffoli	AGE:32	PO:0	OV:78
Nick Foligno	AGE:36	PO:0	OV:76
Anthony Duclair	AGE:28	PO:0	OV:75
Erik Haula	AGE:33	PO:0	OV:74
Danton Heinen	AGE:28	PO:0	OV:74
Miles Wood	AGE:28	PO:0	OV:71
Curtis Lazar	AGE:29	PO:0	OV:71
Andreas Athanasiou	AGE:29	PO:0	OV:67
Taylor Hall	AGE:32	PO:0	OV:67
Cole Koepke	AGE:26	PO:0	OV:60
Joona Koppanen	AGE:26	PO:0	OV:59
Georgii Merkulov (R)	AGE:23	PO:0	OV:57

Tyler Toffoli	AGE:32	PO:0	OV:78
Erik Haula	AGE:33	PO:0	OV:74
Curtis Lazar	AGE:29	PO:0	OV:71
Andreas Athanasiou	AGE:29	PO:0	OV:67
Mark Kastelic	AGE:25	PO:0	OV:63
Adam Ruzicka	AGE:25	PO:0	OV:62
Vinni Lettieri	AGE:29	PO:0	OV:62
Oskar Steen	AGE:26	PO:0	OV:59
Rem Pitlick	AGE:27	PO:0	OV:59
Marc McLaughlin (R)	AGE:24	PO:0	OV:59
Joona Koppanen	AGE:26	PO:0	OV:59
Georgii Merkulov (R)	AGE:23	PO:0	OV:57

Tyler Toffoli	AGE:32	PO:0	OV:78
Nick Foligno	AGE:36	PO:0	OV:76
Anthony Duclair	AGE:28	PO:0	OV:75
Erik Haula	AGE:33	PO:0	OV:74
Danton Heinen	AGE:28	PO:0	OV:74
Miles Wood	AGE:28	PO:0	OV:71
Curtis Lazar	AGE:29	PO:0	OV:71
Andreas Athanasiou	AGE:29	PO:0	OV:67
Mark Kastelic	AGE:25	PO:0	OV:63
Justin Brazeau	AGE:26	PO:0	OV:61
Marc McLaughlin (R)	AGE:24	PO:0	OV:59
Georgii Merkulov (R)	AGE:23	PO:0	OV:57

Defense #1

Defense #2

Goalie

Torey Krug	AGE:33	PO:0	OV:75
Brandon Montour	AGE:30	PO:0	OV:74
Nikita Zadorov	AGE:29	PO:0	OV:74
Samuel Girard	AGE:26	PO:0	OV:73

Connor Clifton	AGE:29	PO:0	OV:71
Carson Soucy	AGE:29	PO:0	OV:69
Dakota Mermis	AGE:30	PO:0	OV:63
Victor Mete	AGE:26	PO:0	OV:60

Jeremy Swayman	AGE:25	PO:0	OV:75
Elvis Merzlikins	AGE:30	PO:0	OV:71
Cal Petersen	AGE:29	PO:0	OV:67

Prospects

Show or Hide Columns

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick	Last Trade Date
Aidan Hreschuk	Boston	2021	91
Alex Bump	Boston	2022	125
Carter George	Boston	2024	53
Cole Brady	Boston	2019	119
Daniil Sobolev	Boston	2021	153
Dans Locmelis	Boston	2022	132	2024-07-15
Dean Letourneau	Boston	2024	22
Elliott Groenewold	Boston	2024	136
Frederic Brunet	Boston	2022	142	2024-07-15
Gavin Mccarthy	Boston	2023	94	2024-07-16
Jakub Stancl	Boston	2023	92
Josh Bloom	Boston	2021	111	2024-07-16
Kyle Kukkonen	Boston	2021	155
Linus Eriksson	Boston	2024	49
Luke Reid	Boston	2020	150
Marcus Kallionkieli	Boston	2019	132
Martin Has	Boston	2019	142
Maximilian Kilpinen	Boston	2022	128
Nikita Ishimnikov	Boston	2023	156
Roman Bychkov	Boston	2019	150
Sasha Mutala	Boston	2019	139
Tyler Muszelik	Boston	2022	160
Veeti Vaisanen	Boston	2024	104

Draft Picks

Year	R1	R2	R3	R4	R5
2025
2026
2027
2028
2029
Conditional Draft Picks

Les Bruins revivent!

By Pascal (Boston) On Monday 30th October 2023 / 5:38pm

Avec des résultats très variables, passant de premiers de la ligue après trois matches à trente-deuxièmes et donc derniers après dix, les Boston Bruins répondent à nouveau un peu plus à l'appel. La situation s'est en effet redressée après vingt parties où ils affichent désormais un bilan des L10 rassurant de 8-2-2. Ils montrent de cette manière qu'il faudra sans doute compter sur eux pour lutter pour une place en série, au sein de cette coriace conférence est.

Le leader en points Ryan Nugent-Hopkins, qui compte 7 buts, 23 assists, 30 points et +9 pour seulement 4 minutes de pénalité sera malheureusement écarté pour quelques rencontres. Il n'est plus réapparu après avoir bloqué un tir d'Alexis Lafrenière en deuxième période à la hauteur de la hanche. Mais les Bruins ont quitté le MSG de New York par la grande porte! Avec une 4ème victoire de rang, la seconde sur la marque de 5-1 en prenant par la même occasion une belle revanche sur l'élimination subie ce printemps contre ces même NY Rangers. On s'en souvient, au premier tour des série...

New Comment

Samuel Girard à Boston

By Pascal (Boston) On Tuesday 1st November 2022 / 12:17pm

La nouvelle est tombée ce vendredi, le jeune défenseur rejoint les Boston Bruins, actuels champions de la Stanley Cup! Le sympathique Québécois a donc toute la confiance de son nouveau patron, puisque les Bruins cèdent en retour un premier et deuxième choix au prochain repêchage. Kevin Connauton part lui aussi chez les Anaheim Ducks, pour une question technique de plancher salarial principalement. Bienvenue Sam!

New Comment

Le champion bousculé

By Pascal (Boston) On Wednesday 12th October 2022 / 1:09pm

Après un début de saison enchanteur, de 8-1-0 sur les 9 premiers, les Boston Bruins ont été repectivement ralentis par une défaite aux SO à Pittsburgh et une autre mortifiante sur la glace du MSG New-Yorkais 4-3 dans le temps réglementaire. Ils conservent néanmoins une invincibilité à la maison, vieille du début des derniers playoffs. Mais les St. Louis Blues en visite prochainement, se présentent comme une menace. Eux qui semblent avoir trouvé un bon rythme de 6-2-1 jusque ici, tandis que les Bruins ont donc crevoté* sur leur eastern road trip de 3 parties, qui va s'achever ce mercredi à Toronto. Une autre équipe qui se débrouille mieux que la saison dernière. Bonne chance et merci champions! *Hopp Suisse :D

New Comment

Le trophée du Prince de Galles aux Bruins!

By Pascal (Boston) On Thursday 30th June 2022 / 11:31pm

Boston jouera une finale de Coupe Stanley! Ils ont obtenu leur ticket en... écrasant les redoutables New Jersey Devils 4 victoires à 0 dans cette finale de conférence. Ces derniers étaient privés d'une pièce maîtresse en leur défenseur Victor Hedman. Les Bruins en ont su en profiter et tenteront de gagner une première coupe Stanley de leur histoire très vite, face au gagnant de l'autre finale qui oppose actuellement les Winnipeg Jets aux Nashville Predators.

New Comment

Boston en finale de l'est

By Pascal (Boston) On Monday 20th June 2022 / 5:05pm

Les Bruins sont les premiers des 4 finalistes connus. Ils se sont en effet détachés relativement facilement des Columbus Blue Jackets en 5 parties, même si les scores étaienet tous très serrés. Ils ont montré qu'ils n'avaient pas l'intention de s'arrêter en si bon chemin, après avoir coupé les ailes de Detroit au premier tour grâce à une victoire 7-1 au 7ème match à Boston.

Ils connaîtront leurs adversaires peut-être déjà ce mardi, si les New Jersey Devils remportent une quatrième victoire clé contre les NY Rangers... Alors qu'à l'ouest, aucune équipe n'a encore atteint les 4 victoires qualifiantes pour la finale de leur conférence.

New Comment

Boston Trade History

[2024-11-20 12:58:41] Save Lines for Boston -
[2024-11-20 12:20:41] Save Roster for Boston -
[11/20/2024 4:00:11 AM] Carson Soucy from Boston is back from Sprained Right Knee Injury.

Tyler Toffoli is out for 4 days because of a Bruised Right Foot Injury.
Anthony Duclair is out for 6 days because of a Upper Body Injury.

Boston Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Brad Marchand	198	83	130	213	55	131	291	251	671	12.37%	46	3883	19.61	27	43	70	169	1	3	4	9	15	6	51.32%	3	1.10	0	7
2	Ryan Nugent-Hopkins	160	58	118	176	45	44	117	279	435	13.33%	31	3111	19.45	14	38	52	107	1	1	2	6	10	5	48.26%	1	1.13	1	3
3	Tyler Toffoli	196	67	86	153	14	32	104	223	593	11.30%	22	3369	17.19	18	37	55	142	0	0	0	0	14	5	48.80%	4	0.91	1	4
4	Taylor Hall	200	49	84	133	12	48	184	218	498	9.84%	15	3051	15.26	14	25	39	115	0	0	0	0	7	3	58.15%	0	0.87	1	1
5	Brandon Montour	194	26	104	130	22	163	229	183	217	11.98%	203	4302	22.18	15	30	45	136	0	2	2	1	4	4	0%	0	0.60	0	0

Boston Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Elvis Merzlikins	110	55	32	6	0.904	2.70	5718	8	3	257	2681	2	2	0.632	19
2	Jeremy Swayman	108	49	39	7	0.906	2.73	5698	6	5	259	2757	3	7	0.583	12
3	Mike Smith	9	4	4	1	0.884	3.28	476	0	0	26	225	1	0	1.000	2
4	Cal Petersen	4	1	2	1	0.923	2.61	184	0	0	8	104	0	0	0.600	5

Boston Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
2022	82	45	21	0	7	3	1	5	286	225	61	41	26	6	0	7	2	0	0	159	98	61	41	19	15	0	0	1	1	5	127	127	0	114	286	513	799	1	3	105	93	80	12	2474	753	830	852	62	2325	660	834	1492	295	60	20.34%	326	51	84.36%	5	1492	2689	55.49%	1519	2721	55.83%	703	1332	52.78%	1940	1357	2010	597	1014	502
2023	82	32	41	0	3	3	1	2	238	252	-14	41	14	24	0	1	1	0	1	113	134	-21	41	18	17	0	2	2	1	1	125	118	7	77	238	426	664	6	3	76	80	78	5	2180	735	702	732	19	2417	634	686	1423	326	67	20.55%	305	53	82.62%	2	1258	2522	49.88%	1337	2664	50.19%	631	1241	50.85%	1938	1343	1980	600	1022	504
2024	36	18	16	0	0	1	1	0	96	93	3	19	11	7	0	0	1	0	0	59	49	10	17	7	9	0	0	0	1	0	37	44	-7	39	96	169	265	2	3	37	28	30	1	868	287	296	277	12	1015	288	398	688	127	33	25.98%	174	35	79.89%	0	486	1028	47.28%	598	1237	48.34%	269	544	49.45%	815	550	898	272	454	221
Total Regular Season	200	95	78	0	10	7	3	7	620	570	50	101	51	37	0	8	4	0	1	331	281	50	99	44	41	0	2	3	3	6	289	289	0	230	620	1108	1728	9	9	218	201	188	18	5522	1775	1828	1861	93	5757	1582	1918	3603	748	160	21.39%	805	139	82.73%	7	3236	6239	51.87%	3454	6622	52.16%	1603	3117	51.43%	4695	3251	4889	1470	2491	1229
Playoff
2021	23	16	7	0	0	0	0	0	80	51	29	12	9	3	0	0	0	0	0	44	23	21	11	7	4	0	0	0	0	0	36	28	8	32	80	148	228	1	0	29	29	19	3	670	213	224	207	26	607	173	242	400	83	23	27.71%	107	23	78.50%	2	419	744	56.32%	437	768	56.90%	192	363	52.89%	573	398	559	176	300	148
2022	7	3	4	0	0	0	0	0	21	21	0	4	1	3	0	0	0	0	0	12	14	-2	3	2	1	0	0	0	0	0	9	7	2	6	21	39	60	0	0	5	6	10	0	211	67	78	66	0	237	62	64	142	35	3	8.57%	28	3	89.29%	0	140	249	56.22%	149	262	56.87%	46	104	44.23%	164	112	168	53	86	42
Total Playoff	30	19	11	0	0	0	0	0	101	72	29	16	10	6	0	0	0	0	0	56	37	19	14	9	5	0	0	0	0	0	45	35	10	38	101	187	288	1	0	34	35	29	3	881	280	302	273	26	844	235	306	542	118	26	22.03%	135	26	80.74%	2	559	993	56.29%	586	1030	56.89%	238	467	50.96%	737	511	728	229	387	190

Boston Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	P/20
1	Taylor Hall	30	14	27	41	16	8	29	48	93	15.05%	8	557	18.59	4	11	15	26	1	1	2	4	3	1	41.86%	1.47
2	Patrice Bergeron	30	16	22	38	17	10	24	97	123	13.01%	11	611	20.39	4	7	11	33	0	0	0	3	2	1	67.09%	1.24
3	Ryan Nugent-Hopkins	30	13	16	29	11	0	12	55	92	14.13%	5	629	20.98	5	3	8	34	1	1	2	4	2	0	48.76%	0.92
4	Blake Coleman	30	8	20	28	17	33	43	25	62	12.90%	7	551	18.40	3	5	8	23	0	0	0	2	2	0	50.00%	1.01
5	Brad Marchand	27	7	14	21	8	28	74	35	119	5.88%	9	518	19.20	0	4	4	33	0	0	0	1	1	0	53.66%	0.81

Boston Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	PCT	GAA	MP	GA	SA	EG
1	Mike Smith	16	12	4	0.925	1.93	997	32	424	1
2	Elvis Merzlikins	11	5	5	0.909	2.55	611	26	286	0
3	Jeremy Swayman	4	2	2	0.902	3.26	239	13	133	0

	Boston
	GP: 36 \| W: 19 \| L: 16 \| OTL: 1 \| P: 39 GF: 96 \| GA: 93 \| PP%: 25.98% \| PK%: 79.89% GM : Pascal \| Morale : 50 \| Team Overall : 71 Next Games #561 vs Columbus