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

Carolina Hurricanes
0-0-0, 0pts

Day 2

Columbus Blue Jackets
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Columbus Blue Jackets
0-0-0, 0pts

Day 4

Carolina Hurricanes
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Columbus Blue Jackets
0-0-0, 0pts

Day 6

Philadelphia Flyers
0-0-0, 0pts

Team Stats
N/A	Streak	N/A
0-0-0	Home Record	0-0-0
0-0-0	Away Record	0-0-0
0-0-0	Last 10 Games	0-0-0
0	Goals Per Game	0
0	Goals Against Per Game	0
0%	Power Play Percentage	0%
0%	Penalty Kill Percentage	0%

Team Leaders

Team Stats

Team Info
	General Manager	Kai
	Coach	Pascal Vincent
	Division	Metropolitan
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	Nationwide Arena
	Capacity	18,000
	Attendance
	Season Tickets	7,200
Roster Info
	Pro Team	20
	Farm Team	28
	Contract Limit	48 / 70
	Prospects	16
Salary Cap
	Estimated Season Salary Cap	59,805,990$
	Available Salary Cap	23,694,010$
	Special Salary Cap Value	0$
	Players In Salary Cap	20
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	60,806,010$
	Current Bank Account	100,000,000$
	Projected Bank Account	36,256,480$

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	SP	Age	Contract	Salary Average
1	Johnny Gaudreau	0		X	X		100.00	64	40	88	86	65	81	91	82	51	89	74	66	63	75	64	0	40	77	0	31	1	6,006,000$
2	Patrik Laine	0		X	X		100.00	65	40	84	79	77	81	79	79	55	83	79	69	82	68	59	0	40	77	0	26	1	5,200,000$
3	Boone Jenner	0	X				100.00	76	57	80	73	79	84	84	72	85	76	76	71	57	75	74	0	40	76	0	31	2	5,350,000$
4	Jack Roslovic	0	X				100.00	70	40	90	79	77	74	90	69	70	78	67	65	54	66	59	0	40	72	0	27	3	3,750,000$
5	Sean Kuraly	0	X				100.00	82	47	75	65	83	72	90	62	79	70	66	78	54	67	63	0	40	70	0	31	2	2,850,000$
6	Justin Danforth	0		X	X		100.00	68	40	77	62	77	69	64	59	62	71	72	64	54	56	58	0	40	67	0	31	1	2,650,000$
7	Kent Johnson	0	X				100.00	63	40	86	71	64	70	70	63	48	74	64	65	70	56	58	0	43	67	0	22	4	2,500,000$
8	Alexandre Texier	0	X				100.00	59	38	82	67	65	67	67	66	56	68	69	68	75	55	55	0	40	66	0	25	2	2,500,000$
9	Cole Sillinger	0	X				100.00	71	49	82	66	78	66	79	60	71	69	61	67	54	58	57	0	40	66	0	21	4	1,400,000$
10	Yegor Chinakhov	0		X	X		100.00	69	42	84	67	76	65	67	61	53	71	62	65	67	57	57	0	40	66	0	23	4	1,900,000$
11	Zach Werenski	0				X	100.00	64	40	91	94	84	94	72	69	40	80	67	81	54	68	65	0	40	78	0	27	4	5,500,000$
12	Damon Severson	0				X	100.00	72	47	81	83	79	86	93	66	40	77	63	84	61	74	66	0	40	75	0	30	4	3,250,000$
13	Ivan Provorov	0				X	100.00	68	40	84	83	79	93	94	63	40	74	62	85	54	71	66	0	40	75	0	27	4	3,850,000$
14	Andrew Peeke	0				X	100.00	77	48	83	65	78	86	88	58	40	69	60	91	54	59	58	0	40	71	0	26	1	2,100,000$
15	Erik Gudbranson	0				X	100.00	72	70	78	68	84	85	90	59	40	72	59	81	54	76	65	0	40	71	0	32	1	2,950,000$
16	Adam Boqvist	0				X	100.00	63	40	89	77	71	79	74	66	40	76	64	72	54	59	58	0	40	70	0	24	3	2,500,000$
17	Jake Bean	0				X	100.00	63	40	82	70	72	77	72	62	40	75	59	77	54	58	58	0	40	69	0	26	4	1,850,000$
18	Nick Blankenburg	0				X	100.00	66	40	78	65	71	79	61	60	40	73	62	79	54	55	58	0	43	68	0	26	1	775,000$
Scratches
Farm Team
1	Emil Bemstrom	0		X	X		100.00	65	43	87	63	73	61	68	62	54	69	62	67	55	59	57	0	40	65	0	25	1	775,000$
2	Mathieu Olivier	0		X	X		100.00	76	74	73	60	82	63	72	58	53	67	59	71	54	59	57	0	40	65	0	27	1	775,000$
3	Kirill Marchenko	0		X	X		100.00	65	41	79	64	68	67	64	60	54	63	68	64	75	53	54	0	40	64	0	24	3	2,500,000$
4	Trey Fix-Wolansky	0		X	X		100.00	57	58	67	64	59	65	63	63	54	61	62	60	61	58	55	0	40	62	0	25	2	1,100,000$
5	Carson Meyer	0		X	X		100.00	59	52	68	60	63	61	60	57	54	60	57	63	54	60	57	0	37	60	0	27	1	775,000$
6	Josh Dunne	0	X				100.00	56	58	64	60	70	65	63	58	69	57	60	59	55	60	56	0	40	60	0	26	1	775,000$
7	Jordan Dumais (R)	0		X	X		100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	40	60	0	20	1	775,000$
8	Brendan Gaunce	0	X				100.00	56	53	67	58	72	60	58	57	70	57	57	60	54	66	60	0	40	59	0	30	1	775,000$
9	Owen Sillinger	0	X				100.00	55	55	65	59	59	65	63	59	70	58	57	58	54	62	57	0	40	59	0	27	1	775,000$
10	Tyler Angle	0	X				100.00	55	55	66	60	57	67	64	58	65	57	58	59	55	56	54	0	40	59	0	24	1	775,000$
11	Hunter Mckown	0	X				100.00	54	38	70	53	78	61	54	51	76	69	51	62	51	51	55	0	40	58	0	22	1	775,000$
12	Tim Berni	0				X	100.00	65	47	71	61	69	71	67	55	40	62	56	74	54	56	56	0	40	63	0	24	1	775,000$
13	Jake Christiansen	0				X	100.00	58	48	76	61	67	66	60	56	40	63	58	66	54	57	57	0	40	61	0	25	1	775,000$
14	Denton Mateychuk (R)	0				X	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	0	40	60	0	20	1	775,000$
15	Billy Sweezey	0				X	100.00	56	56	63	57	69	66	64	55	40	57	54	61	54	63	58	0	40	59	0	28	1	775,000$
16	Marcus Bjork	0				X	100.00	59	47	63	57	69	66	58	55	38	60	55	64	51	56	54	0	40	59	0	27	1	775,000$
17	Cole Clayton	0				X	100.00	56	55	65	57	68	63	62	56	40	55	56	59	54	56	54	0	40	58	0	24	1	775,000$
18	David Jiricek	0				X	100.00	53	53	63	56	66	62	60	57	38	57	53	56	54	49	48	0	40	56	0	21	1	1,400,000$
19	Stefan Matteau	0	X				100.00	54	51	62	53	67	55	54	52	52	52	52	59	51	63	56	0	40	55	0	30	1	775,000$
20	Mikael Pyyhtia	0		X	X		100.00	52	49	64	52	53	56	52	52	51	53	52	57	51	52	51	0	40	53	0	23	1	775,000$
21	Cameron Butler	0		X	X		100.00	51	51	65	51	66	51	51	51	52	51	51	57	51	51	49	0	40	53	0	22	1	775,000$
22	Justin Pearson	0	X	X	X		100.00	51	51	65	51	59	52	52	51	52	51	51	57	51	58	53	0	40	53	0	26	1	775,000$
23	Stanislav Svozil	0				X	100.00	53	43	61	52	65	66	52	54	38	55	50	57	51	50	52	0	40	55	0	21	1	775,000$
24	Samuel Knazko	0				X	100.00	52	50	64	53	60	61	59	54	38	55	51	54	51	51	49	0	40	54	0	22	1	775,000$
25	Corson Ceulemans	0				X	100.00	52	51	65	52	62	53	53	51	38	51	51	57	51	49	48	0	40	53	0	21	1	775,000$

	TEAM AVERAGE						100.00	62	49	74	64	70	69	68	60	52	65	60	66	57	60	57	0	40	64

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 Average
1	Elvis Merzlikins	0	100.00	65	80	79	83	81	78	78	60	84	74	91	62	56	0	40	75	0	30	4	2,150,000$
2	Daniil Tarasov	0	100.00	57	60	61	81	68	61	70	61	67	64	72	57	55	0	43	64	0	25	1	775,000$
Scratches
Farm Team
1	Jet Greaves	0	100.00	61	65	65	61	67	59	66	65	59	60	60	54	51	0	40	62	0	23	1	775,000$
2	Nolan Lalonde (R)	0	100.00	60	60	60	60	60	60	60	60	60	60	60	60	60	0	40	60	0	20	1	775,000$
3	Pavel Cajan	0	100.00	54	57	57	64	63	52	63	56	53	55	55	49	48	0	40	57	0	22	1	775,000$

	TEAM AVERAGE		100.00	59	64	64	70	68	62	67	60	65	63	68	56	54	0	41	64

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Pascal Vincent	63	66	71	72	77	71	75	CAN	51	7	1,000,000$

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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

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	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

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	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Average	Salary Ave Remaining	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	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
Adam Boqvist	Columbus Blue Jackets	D	24	15.08.2000	No	83 Kg	183 CM	No	No	N/A	No	No	3	False	False	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	2,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Alexandre Texier	Columbus Blue Jackets	C	25	13.09.1999	No	85 Kg	185 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Andrew Peeke	Columbus Blue Jackets	D	26	17.03.1998	No	95 Kg	191 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	2,100,000$	2,100,000$	2,100,000$	2,100,000$	2,100,000$	2,100,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Boone Jenner	Columbus Blue Jackets	C	31	15.06.1993	No	92 Kg	188 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	5,350,000$	5,350,000$	5,350,000$	5,350,000$	5,350,000$	5,350,000$	No	5,350,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Cole Sillinger	Columbus Blue Jackets	C	21	16.05.2003	No	91 Kg	185 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	1,400,000$	1,400,000$	1,400,000$	1,400,000$	1,400,000$	1,400,000$	No	1,400,000$	1,400,000$	1,400,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Damon Severson	Columbus Blue Jackets	D	30	07.08.1994	No	93 Kg	188 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	3,250,000$	3,250,000$	3,250,000$	No	3,250,000$	3,250,000$	3,250,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Daniil Tarasov	Columbus Blue Jackets	G	25	27.03.1999	No	89 Kg	196 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Elvis Merzlikins	Columbus Blue Jackets	G	30	13.04.1994	No	83 Kg	191 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	2,150,000$	2,150,000$	2,150,000$	2,150,000$	2,150,000$	2,150,000$	No	2,150,000$	2,150,000$	2,150,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Erik Gudbranson	Columbus Blue Jackets	D	32	07.01.1992	No	101 Kg	196 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	2,950,000$	2,950,000$	2,950,000$	2,950,000$	2,950,000$	2,950,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ivan Provorov	Columbus Blue Jackets	D	27	13.01.1997	No	91 Kg	185 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	3,850,000$	3,850,000$	3,850,000$	3,850,000$	3,850,000$	3,850,000$	No	3,850,000$	3,850,000$	3,850,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Jack Roslovic	Columbus Blue Jackets	C	27	29.01.1997	No	91 Kg	185 CM	No	No	N/A	No	No	3	False	False	Pro & Farm	3,750,000$	3,750,000$	3,750,000$	3,750,000$	3,750,000$	3,750,000$	No	3,750,000$	3,750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Jake Bean	Columbus Blue Jackets	D	26	09.06.1998	No	89 Kg	185 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	1,850,000$	1,850,000$	1,850,000$	1,850,000$	1,850,000$	1,850,000$	No	1,850,000$	1,850,000$	1,850,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Johnny Gaudreau	Columbus Blue Jackets	LW/RW	31	13.08.1993	No	75 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	6,006,000$	6,006,000$	6,006,000$	6,006,000$	6,006,000$	6,006,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Justin Danforth	Columbus Blue Jackets	LW/RW	31	15.03.1993	No	86 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	2,650,000$	2,650,000$	2,650,000$	2,650,000$	2,650,000$	2,650,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Kent Johnson	Columbus Blue Jackets	C	22	18.10.2002	No	80 Kg	183 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	2,500,000$	No	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Nick Blankenburg	Columbus Blue Jackets	D	26	12.05.1998	No	80 Kg	175 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	775,000$	775,000$	775,000$	775,000$	775,000$	775,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Patrik Laine	Columbus Blue Jackets	LW/RW	26	19.04.1998	No	93 Kg	196 CM	No	No	N/A	No	No	1	False	False	Pro & Farm	5,200,000$	5,200,000$	5,200,000$	5,200,000$	5,200,000$	5,200,000$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Sean Kuraly	Columbus Blue Jackets	C	31	20.01.1993	No	97 Kg	188 CM	No	No	N/A	No	No	2	False	False	Pro & Farm	2,850,000$	2,850,000$	2,850,000$	2,850,000$	2,850,000$	2,850,000$	No	2,850,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Yegor Chinakhov	Columbus Blue Jackets	LW/RW	23	01.02.2001	No	93 Kg	185 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	1,900,000$	1,900,000$	1,900,000$	1,900,000$	1,900,000$	1,900,000$	No	1,900,000$	1,900,000$	1,900,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Zach Werenski	Columbus Blue Jackets	D	27	19.07.1997	No	97 Kg	188 CM	No	No	N/A	No	No	4	False	False	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	5,500,000$	No	5,500,000$	5,500,000$	5,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	27.05	89 Kg	185 CM	2.55	2,990,300$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
59,806,000$	39,350,000$	28,650,000$	22,400,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Patrik Laine	Boone Jenner	Johnny Gaudreau	33	1	2	2
2	Justin Danforth	Jack Roslovic	Yegor Chinakhov	30	1	2	2
3	Kent Johnson	Sean Kuraly	Cole Sillinger	25	1	2	2
4	Patrik Laine	Kent Johnson	Johnny Gaudreau	12	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Werenski	Ivan Provorov	33	1	2	2
2	Damon Severson	Andrew Peeke	30	1	2	2
3	Erik Gudbranson	Adam Boqvist	25	1	2	2
4	Jake Bean	Nick Blankenburg	12	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Patrik Laine	Boone Jenner	Johnny Gaudreau	50	1	2	2
2	Justin Danforth	Jack Roslovic	Yegor Chinakhov	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Werenski	Ivan Provorov	50	1	2	2
2	Damon Severson	Andrew Peeke	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Patrik Laine	Johnny Gaudreau	50	1	2	2
2	Boone Jenner	Jack Roslovic	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Werenski	Ivan Provorov	50	1	2	2
2	Damon Severson	Andrew Peeke	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Patrik Laine	50	1	2	2	Zach Werenski	Ivan Provorov	50	1	2	2
2	Johnny Gaudreau	50	1	2	2	Damon Severson	Andrew Peeke	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Patrik Laine	Johnny Gaudreau	50	1	2	2
2	Boone Jenner	Jack Roslovic	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Werenski	Ivan Provorov	50	1	2	2
2	Damon Severson	Andrew Peeke	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Patrik Laine	Boone Jenner	Johnny Gaudreau	Zach Werenski	Ivan Provorov

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Patrik Laine	Boone Jenner	Johnny Gaudreau	Zach Werenski	Ivan Provorov

Extra Forwards
Normal	PowerPlay	Penalty Kill
Alexandre Texier, Sean Kuraly, Cole Sillinger	Alexandre Texier, Sean Kuraly	Cole Sillinger

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Erik Gudbranson, Adam Boqvist, Jake Bean	Erik Gudbranson	Adam Boqvist, Jake Bean

Penalty Shots
Patrik Laine, Johnny Gaudreau, Boone Jenner, Jack Roslovic, Sean Kuraly

Goalie
#1 : Elvis Merzlikins, #2 : Daniil Tarasov

Custom OT Lines Forwards
Patrik Laine, Johnny Gaudreau, Boone Jenner, Jack Roslovic, Sean Kuraly, Justin Danforth, Justin Danforth, Kent Johnson, Cole Sillinger, Yegor Chinakhov, Alexandre Texier

Custom OT Lines Defensemen
Zach Werenski, Ivan Provorov, Damon Severson, Andrew Peeke, Erik Gudbranson

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
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

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

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

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	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
0	0	0%	0	0	0%	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
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0%	0	0	0%	0	0	0%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

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
2	12	Carolina Hurricanes	-	Columbus Blue Jackets	-
4	29	Columbus Blue Jackets	-	Carolina Hurricanes	-
6	44	Columbus Blue Jackets	-	Philadelphia Flyers	-
7	56	Philadelphia Flyers	-	Columbus Blue Jackets	-
9	73	Columbus Blue Jackets	-	Washington Capitals	-
12	95	Washington Capitals	-	Columbus Blue Jackets	-
13	103	New York Islanders	-	Columbus Blue Jackets	-
15	121	Columbus Blue Jackets	-	New Jersey Devils	-
17	136	Columbus Blue Jackets	-	New York Islanders	-
19	151	New Jersey Devils	-	Columbus Blue Jackets	-
21	170	New York Rangers	-	Columbus Blue Jackets	-
Trade Deadline --- Trades can’t be done after this day is simulated!
22	177	Columbus Blue Jackets	-	Pittsburgh Penguins	-
26	203	Pittsburgh Penguins	-	Columbus Blue Jackets	-
27	212	Columbus Blue Jackets	-	New York Rangers	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
7	0 - 0%	0$	0$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	59,806,000$	59,806,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
1,993,533$	0$	0$	20	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	30	2,026,867$	60,806,010$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
63,743,520$	100,000,000$	36,256,480$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
59,805,990$	23,694,010$	83,500,000$	-1,894,010$

Depth Chart

Left Wing

Center

Right Wing

Johnny Gaudreau	AGE:31	PO:0	OV:77
Patrik Laine	AGE:26	PO:0	OV:77
Justin Danforth	AGE:31	PO:0	OV:67
Yegor Chinakhov	AGE:23	PO:0	OV:66
Emil Bemstrom	AGE:25	PO:0	OV:65
Mathieu Olivier	AGE:27	PO:0	OV:65
Kirill Marchenko	AGE:24	PO:0	OV:64
Trey Fix-Wolansky	AGE:25	PO:0	OV:62
Carson Meyer	AGE:27	PO:0	OV:60
Jordan Dumais (R)	AGE:20	PO:0	OV:60
Mikael Pyyhtia	AGE:23	PO:0	OV:53
Cameron Butler	AGE:22	PO:0	OV:53
Justin Pearson	AGE:26	PO:0	OV:53

Boone Jenner	AGE:31	PO:0	OV:76
Jack Roslovic	AGE:27	PO:0	OV:72
Sean Kuraly	AGE:31	PO:0	OV:70
Kent Johnson	AGE:22	PO:0	OV:67
Alexandre Texier	AGE:25	PO:0	OV:66
Cole Sillinger	AGE:21	PO:0	OV:66
Josh Dunne	AGE:26	PO:0	OV:60
Brendan Gaunce	AGE:30	PO:0	OV:59
Owen Sillinger	AGE:27	PO:0	OV:59
Tyler Angle	AGE:24	PO:0	OV:59
Hunter Mckown	AGE:22	PO:0	OV:58
Stefan Matteau	AGE:30	PO:0	OV:55
Justin Pearson	AGE:26	PO:0	OV:53

Johnny Gaudreau	AGE:31	PO:0	OV:77
Patrik Laine	AGE:26	PO:0	OV:77
Justin Danforth	AGE:31	PO:0	OV:67
Yegor Chinakhov	AGE:23	PO:0	OV:66
Emil Bemstrom	AGE:25	PO:0	OV:65
Mathieu Olivier	AGE:27	PO:0	OV:65
Kirill Marchenko	AGE:24	PO:0	OV:64
Trey Fix-Wolansky	AGE:25	PO:0	OV:62
Carson Meyer	AGE:27	PO:0	OV:60
Jordan Dumais (R)	AGE:20	PO:0	OV:60
Mikael Pyyhtia	AGE:23	PO:0	OV:53
Cameron Butler	AGE:22	PO:0	OV:53
Justin Pearson	AGE:26	PO:0	OV:53

Defense #1

Defense #2

Goalie

Zach Werenski	AGE:27	PO:0	OV:78
Damon Severson	AGE:30	PO:0	OV:75
Ivan Provorov	AGE:27	PO:0	OV:75
Andrew Peeke	AGE:26	PO:0	OV:71
Erik Gudbranson	AGE:32	PO:0	OV:71
Adam Boqvist	AGE:24	PO:0	OV:70
Jake Bean	AGE:26	PO:0	OV:69
Nick Blankenburg	AGE:26	PO:0	OV:68
Tim Berni	AGE:24	PO:0	OV:63

Jake Christiansen	AGE:25	PO:0	OV:61
Denton Mateychuk (R)	AGE:20	PO:0	OV:60
Billy Sweezey	AGE:28	PO:0	OV:59
Marcus Bjork	AGE:27	PO:0	OV:59
Cole Clayton	AGE:24	PO:0	OV:58
David Jiricek	AGE:21	PO:0	OV:56
Stanislav Svozil	AGE:21	PO:0	OV:55
Samuel Knazko	AGE:22	PO:0	OV:54
Corson Ceulemans	AGE:21	PO:0	OV:53

Elvis Merzlikins	AGE:30	PO:0	OV:75
Daniil Tarasov	AGE:25	PO:0	OV:64
Jet Greaves	AGE:23	PO:0	OV:62
Nolan Lalonde (R)	AGE:20	PO:0	OV:60
Pavel Cajan	AGE:22	PO:0	OV:57

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	Information	Last Trade Date	Link
Aidan Hreschuk	Columbus Blue Jackets	0	0
Andrew Strathmann	Columbus Blue Jackets	0	0
Ben Boyd	Columbus Blue Jackets	0	0
Gavin Brindley	Columbus Blue Jackets	0	0
Guillaume Richard	Columbus Blue Jackets	0	0
James Fisher	Columbus Blue Jackets	0	0
Kirill Dolzhenkov	Columbus Blue Jackets	0	0
Luca Pinelli	Columbus Blue Jackets	0	0
Martin Rysavy	Columbus Blue Jackets	0	0
Melvin Strahl	Columbus Blue Jackets	0	0
Nikolai Makarov	Columbus Blue Jackets	0	0
Oiva Keskinen	Columbus Blue Jackets	0	0
Sergei Ivanov	Columbus Blue Jackets	0	0
Tim Berni	Columbus Blue Jackets	0	0
Tyler Peddle	Columbus Blue Jackets	0	0
William Whitelaw	Columbus Blue Jackets	0	0

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
2
3
4
5
6
Conditional Draft Picks

The STHS News Database File was not found or corrupted. Please create one in the League News Management section of the website logged in as a Commissioner.

Columbus Blue Jackets Trade History

[01.02.2024 19:18:17] - Nolan Lalonde was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Denton Mateychuk was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Jordan Dumais was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Elvis Merzlikins was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Justin Pearson was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Corson Ceulemans was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Pavel Cajan was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Cameron Butler was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - David Jiricek was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Jet Greaves was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Cole Clayton was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Stefan Matteau was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Emil Bemstrom was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Samuel Knazko was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Owen Sillinger was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Josh Dunne was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Tyler Angle was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Yegor Chinakhov was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Mikael Pyyhtia was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Stanislav Svozil was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Hunter Mckown was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Marcus Bjork was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Kent Johnson was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Carson Meyer was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Jake Christiansen was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Brendan Gaunce was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Nick Blankenburg was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Trey Fix-Wolansky was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Adam Boqvist was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] - Trey Fix-Wolansky was added to Columbus Blue Jackets.

[08.02.2024 19:32:20] Auto Lines Function has been run for Cleveland Monsters.
[08.02.2024 19:32:20] Auto Lines Function has been run for Columbus Blue Jackets.
[08.02.2024 19:32:17] Auto Roster Function has been run for Columbus Blue Jackets.
[08.02.2024 19:32:17] Daniil Tarasov of Columbus Blue Jackets was sent to pro.
[08.02.2024 19:32:17] Alexandre Texier of Columbus Blue Jackets was sent to pro.
[01.02.2024 19:18:17] Nolan Lalonde was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Denton Mateychuk was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Jordan Dumais was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Elvis Merzlikins was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Justin Pearson was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Corson Ceulemans was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Pavel Cajan was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Cameron Butler was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] David Jiricek was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Jet Greaves was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Cole Clayton was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Stefan Matteau was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Emil Bemstrom was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Samuel Knazko was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Owen Sillinger was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Josh Dunne was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Tyler Angle was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Yegor Chinakhov was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Mikael Pyyhtia was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Stanislav Svozil was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Hunter Mckown was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Marcus Bjork was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Kent Johnson was added to Columbus Blue Jackets.
[01.02.2024 19:18:17] Carson Meyer was added to Columbus Blue Jackets.

No Injury or Suspension.

Columbus Blue Jackets 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

Columbus Blue Jackets Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Columbus Blue Jackets 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

Columbus Blue Jackets 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%	HT	P/20	PSG	PSS

Columbus Blue Jackets Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Columbus Blue Jackets
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Kai \| Morale : 40 \| Team Overall : 71 Next Games #12 vs Carolina Hurricanes