Stanley Cup Winners Hockey League - COLUMBUS Blue Jackets

CLEVELAND Monsters
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
History
Last Transactions
Injury / Suspension
Web Roster Editor
Web Lines Editor

Show or Hide Column

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
1	Benoit Pouliot	0		X			100.00	66	42	79	73	78	82	91	66	30	63	67	68	73	75	63	55	60	72	0
2	Devin Shore	0	X				100.00	70	41	75	69	78	81	89	68	69	70	65	69	67	60	53	65	59	71	0
3	Tyson Jost	0	X				100.00	62	35	75	67	71	78	91	66	68	67	64	59	65	56	52	86	19	68	0
4	John Carlson (C)	0				X	100.00	63	35	84	81	87	95	93	79	30	94	82	84	81	78	63	65	55	83	0
5	Colton Parayko (A)	0				X	100.00	74	41	84	68	98	92	93	68	30	71	78	75	73	63	54	60	60	77	0
6	Adam Pelech	0				X	100.00	78	35	76	66	87	82	91	66	30	70	72	77	69	58	53	64	60	73	0
7	Joel Edmundson	0				X	100.00	79	44	66	64	89	84	77	64	30	67	68	79	66	61	53	70	60	71	0
Scratches
1	Chris Kreider	0		X			100.00	79	41	69	75	87	88	92	74	68	72	79	61	77	68	61	69	54	76	0
2	Evgenii Dadonov	0			X		100.00	60	35	80	79	69	90	95	78	64	81	78	60	78	58	58	52	59	75	0
3	Nick Foligno	0		X	X		100.00	84	50	72	71	75	88	86	70	75	70	70	66	70	84	60	49	58	74	0
4	Mats Zuccarello	0			X		100.00	69	35	81	79	65	92	61	78	60	84	70	71	74	70	61	27	50	74	0
5	Justin Abdelkader	0		X	X		100.00	86	44	74	67	83	84	84	66	74	68	63	72	65	78	58	46	54	73	0
6	Oskar Sundqvist	0	X				100.00	71	35	73	70	85	82	87	69	75	69	68	72	69	56	52	62	85	72	0
7	Jason Zucker	0		X			100.00	68	35	75	72	69	87	94	71	51	71	71	62	71	66	55	58	53	72	0
8	Andrew Cogliano	0	X				100.00	65	35	73	66	66	80	91	65	63	66	63	70	64	88	62	50	56	71	0
9	Magnus Paajarvi	0		X			100.00	65	35	76	66	85	82	93	65	66	64	66	73	66	69	56	71	19	71	0
10	Jesper Fast	0			X		100.00	77	35	76	67	76	84	79	66	61	67	65	72	66	64	54	41	60	70	0
11	Brian Dumoulin	0				X	100.00	77	35	82	67	88	87	89	67	30	72	69	82	68	63	54	59	60	75	0
12	Alec Martinez	0				X	100.00	70	35	85	67	79	88	73	67	30	71	72	77	70	72	57	38	42	73	0
13	Kevan Miller	0				X	100.00	77	56	75	64	82	81	69	64	30	68	65	77	65	63	54	27	55	70	0
14	Karl Alzner	0				X	100.00	63	35	74	57	87	52	54	57	30	52	54	57	55	77	58	68	60	60	0

	TEAM AVERAGE					100.00	72	39	76	69	80	84	84	68	51	70	69	71	69	68	57	56	54	72

Show or Hide Column

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
1	Kari Lehtonen	100.00	80	83	83	86	81	79	82	81	81	79	77	99	90	47	60	75	0
Scratches
1	Robin Lehner	100.00	95	86	87	94	94	93	95	94	93	94	87	70	83	61	31	81	0
2	Juuse Saros	100.00	91	77	85	68	90	89	91	90	89	90	83	56	74	60	82	75	0

	TEAM AVERAGE	100.00	89	82	85	83	88	87	89	88	88	88	82	75	82	56	58	77

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Michel Therrien	77	78	79	76	81	81	60	CAN	56	3	982,000$

Show or Hide Column

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 Column

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 Column

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	Force Waivers	Contract	Status	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Link
Adam Pelech	COLUMBUS Blue Jackets	D	24	1994-08-16	No	99 Kg	191 CM	No	No	No	4	RFA	Pro & Farm	1,600,000$	1,600,000$	1,600,000$	No	Link
Alec Martinez	COLUMBUS Blue Jackets	D	31	1987-07-26	No	95 Kg	185 CM	No	No	No	4	UFA	Pro & Farm	3,000,000$	3,000,000$	3,000,000$	No	Link
Andrew Cogliano	COLUMBUS Blue Jackets	C	31	1987-06-14	No	80 Kg	178 CM	No	No	No	5	UFA	Pro & Farm	3,250,000$	3,250,000$	3,250,000$	No	Link
Benoit Pouliot	COLUMBUS Blue Jackets	LW	31	1986-09-29	No	91 Kg	191 CM	No	No	No	1	UFA	Pro & Farm	1,265,000$	1,265,000$	1,265,000$	No	Link
Brian Dumoulin	COLUMBUS Blue Jackets	D	26	1991-09-06	No	94 Kg	193 CM	No	No	No	1	RFA	Pro & Farm	4,100,000$	4,100,000$	4,100,000$	No	Link
Chris Kreider	COLUMBUS Blue Jackets	LW	27	1991-04-30	No	100 Kg	191 CM	No	No	No	6	RFA	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	No	Link
Colton Parayko	COLUMBUS Blue Jackets	D	25	1993-05-12	No	105 Kg	198 CM	No	No	No	4	RFA	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	No	Link
Devin Shore	COLUMBUS Blue Jackets	C	24	1994-07-19	No	93 Kg	185 CM	No	No	No	3	RFA	Pro & Farm	2,300,000$	2,300,000$	2,300,000$	No	Link
Evgenii Dadonov	COLUMBUS Blue Jackets	RW	29	1989-03-12	No	84 Kg	180 CM	No	No	No	1	UFA	Pro & Farm	750,000$	750,000$	750,000$	No	Link
Jason Zucker	COLUMBUS Blue Jackets	LW	26	1992-01-16	No	83 Kg	180 CM	No	No	No	5	RFA	Pro & Farm	5,500,000$	5,500,000$	5,500,000$	No	Link
Jesper Fast	COLUMBUS Blue Jackets	RW	26	1991-12-02	No	87 Kg	185 CM	No	No	No	1	RFA	Pro & Farm	1,500,000$	1,500,000$	1,500,000$	No	Link
Joel Edmundson	COLUMBUS Blue Jackets	D	25	1993-06-28	No	98 Kg	193 CM	No	No	No	2	RFA	Pro & Farm	3,500,000$	3,500,000$	3,500,000$	No	Link
John Carlson	COLUMBUS Blue Jackets	D	28	1990-01-10	No	99 Kg	191 CM	No	No	No	5	UFA	Pro & Farm	8,000,000$	8,000,000$	8,000,000$	No	Link
Justin Abdelkader	COLUMBUS Blue Jackets	LW/RW	31	1987-02-25	No	97 Kg	188 CM	No	No	No	0	UFA	Pro & Farm		0$	0$	No	Link
Juuse Saros	COLUMBUS Blue Jackets	G	23	1995-04-19	No	82 Kg	180 CM	No	No	No	3	RFA	Pro & Farm	1,750,000$	1,750,000$	1,750,000$	No	Link
Kari Lehtonen	COLUMBUS Blue Jackets	G	34	1983-11-16	No	95 Kg	193 CM	No	No	No	1	UFA	Pro & Farm	5,900,000$	5,900,000$	5,900,000$	No	Link
Karl Alzner	COLUMBUS Blue Jackets	D	29	1988-09-24	No	100 Kg	191 CM	No	No	No	2	UFA	Pro & Farm	4,625,000$	4,625,000$	4,625,000$	No	Link
Kevan Miller	COLUMBUS Blue Jackets	D	30	1987-11-15	No	95 Kg	188 CM	No	No	No	1	UFA	Pro & Farm	2,625,000$	2,625,000$	2,625,000$	No	Link
Magnus Paajarvi	COLUMBUS Blue Jackets	LW	27	1991-04-12	No	94 Kg	191 CM	No	No	No	0	RFA	Pro & Farm		0$	0$	No	Link
Mats Zuccarello	COLUMBUS Blue Jackets	RW	31	1987-09-01	No	84 Kg	173 CM	No	No	No	3	UFA	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	No	Link
Nick Foligno	COLUMBUS Blue Jackets	LW/RW	30	1987-10-31	No	92 Kg	183 CM	No	No	No	4	UFA	Pro & Farm	5,400,000$	5,400,000$	5,400,000$	No	Link
Oskar Sundqvist	COLUMBUS Blue Jackets	C	24	1994-03-23	No	95 Kg	191 CM	No	No	No	2	RFA	Pro & Farm	1,200,000$	1,200,000$	1,200,000$	No	Link
Robin Lehner	COLUMBUS Blue Jackets	G	27	1991-07-24	No	109 Kg	193 CM	No	No	No	6	RFA	Pro & Farm	4,500,000$	4,500,000$	4,500,000$	No	Link
Tyson Jost	COLUMBUS Blue Jackets	C	20	1998-03-14	No	87 Kg	180 CM	No	No	No	2	RFA	Pro & Farm	750,000$	750,000$	750,000$	No	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
24	27.46	93 Kg	188 CM	2.75	3,167,292$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
76,015,000$	59,875,000$	49,800,000$	41,250,000$	25,750,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				31	1	2	2
2		Devin Shore		26	1	2	2
3				23	1	2	2
4	Benoit Pouliot			20	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	John Carlson	Colton Parayko	31	1	2	2
2		Joel Edmundson	26	1	2	2
3			23	1	2	2
4	Adam Pelech	John Carlson	20	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				55	1	2	2
2		Devin Shore		45	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	John Carlson	Colton Parayko	55	1	2	2
2		Joel Edmundson	45	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2	Devin Shore		45	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	John Carlson	Colton Parayko	55	1	2	2
2		Joel Edmundson	45	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		55	1	2	2	John Carlson	Colton Parayko	55	1	2	2
2	Devin Shore	45	1	2	2		Joel Edmundson	45	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			55	1	2	2
2	Devin Shore		45	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	John Carlson	Colton Parayko	55	1	2	2
2		Joel Edmundson	45	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
			John Carlson	Colton Parayko

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
			John Carlson	Colton Parayko

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, , Adam Pelech		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 : Kari Lehtonen

Custom OT Lines Forwards
, , , , , , , , , Benoit Pouliot, Devin Shore

Custom OT Lines Defensemen
John Carlson, Colton Parayko, , Joel Edmundson,

Show or Hide Column

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	0.00%	0	0	0.00%	0	0	0	0.00%	0	0	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	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	0.00%	0	0	0.00%	0	0	0.00%

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 Column

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	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Arena Capacity	6000	5000	2000	5000	1000
Ticket Price	195	190	185	180	225
Attendance	0.00%	0.00%	0.00%	0.00%	0.00%
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Arena Capacity	Team Popularity
41	0 - 0.00%	0$	0$	19000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	76,015,000$	76,015,000$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	22	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Team Total Estimate
Estimated Season Expenses	Estimated Season Salary Cap	Current Bank Account	Projected Bank Account
0$	0$	200,124,571$	200,124,571$

Depth Chart

Left Wing

Center

Right Wing

Chris Kreider	AGE:27	PO:69	OV:76
Nick Foligno	AGE:30	PO:49	OV:74
Justin Abdelkader	AGE:31	PO:46	OV:73
Jason Zucker	AGE:26	PO:58	OV:72
Benoit Pouliot	AGE:31	PO:55	OV:72
Magnus Paajarvi	AGE:27	PO:71	OV:71
Adam Erne	AGE:23	PO:75	OV:69

Oskar Sundqvist	AGE:24	PO:62	OV:72
Devin Shore	AGE:24	PO:65	OV:71
Andrew Cogliano	AGE:31	PO:50	OV:71
Tyson Jost	AGE:20	PO:86	OV:68
Cole Cassels	AGE:23	PO:44	OV:60
T.J. Tynan	AGE:26	PO:63	OV:57

Evgenii Dadonov	AGE:29	PO:52	OV:75
Nick Foligno	AGE:30	PO:49	OV:74
Mats Zuccarello	AGE:31	PO:27	OV:74
Justin Abdelkader	AGE:31	PO:46	OV:73
Jesper Fast	AGE:26	PO:41	OV:70
Josh Archibald	AGE:25	PO:42	OV:69
Nail Yakupov	AGE:24	PO:88	OV:67
Brett Ritchie	AGE:25	PO:70	OV:66
Cole Cassels	AGE:23	PO:44	OV:60
Nikita Scherbak	AGE:22	PO:78	OV:58

Defense #1

Defense #2

Goalie

John Carlson	AGE:28	PO:65	OV:83
Colton Parayko	AGE:25	PO:60	OV:77
Brian Dumoulin	AGE:26	PO:59	OV:75
Adam Pelech	AGE:24	PO:64	OV:73
Alec Martinez	AGE:31	PO:38	OV:73
Joel Edmundson	AGE:25	PO:70	OV:71

Kevan Miller	AGE:30	PO:27	OV:70
Joe Morrow	AGE:25	PO:69	OV:65
Karl Alzner	AGE:29	PO:68	OV:60
Ryan Murphy	AGE:25	PO:81	OV:57
Julius Bergman	AGE:22	PO:43	OV:54
Nick Ebert	AGE:24	PO:79	OV:52

Robin Lehner	AGE:27	PO:61	OV:81
Juuse Saros	AGE:23	PO:60	OV:75
Kari Lehtonen	AGE:34	PO:47	OV:75
Garret Sparks	AGE:25	PO:47	OV:70
Spencer Martin	AGE:23	PO:66	OV:65
Jon Gillies	AGE:24	PO:63	OV:64

Prospects

Show or Hide Column

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
Alexander Romanov	COLUMBUS Blue Jackets	31	56
Andrei Svechnikov	COLUMBUS Blue Jackets	31	2
Andrew Welinski	COLUMBUS Blue Jackets	19	61
Anton Andersson	COLUMBUS Blue Jackets
Arvid Henrikson	COLUMBUS Blue Jackets	27	68
Bowen Byram	COLUMBUS Blue Jackets	33	3
Brandon Halverson	COLUMBUS Blue Jackets	23	63
Casey Mittelstadt	COLUMBUS Blue Jackets	29	8
Daniel O'Regan	COLUMBUS Blue Jackets	20	86
Denis Sminov	COLUMBUS Blue Jackets
Dominic Toninato	COLUMBUS Blue Jackets	20	88
Erik Nystrom	COLUMBUS Blue Jackets	20	87
Grant Mismash	COLUMBUS Blue Jackets	29	52
Henrik Borgstrom	COLUMBUS Blue Jackets	27	21
Isaac Ratcliffe	COLUMBUS Blue Jackets	29	34
Jasper Weatherby	COLUMBUS Blue Jackets	31	134
Jesper Lindgrend	COLUMBUS Blue Jackets	25	75
John Ludvig	COLUMBUS Blue Jackets	33	159
John Quenneville	COLUMBUS Blue Jackets	24	21
Jordan Kyrou	COLUMBUS Blue Jackets	27	20
Julius Nattinen	COLUMBUS Blue Jackets	25	26
Karl Henriksson	COLUMBUS Blue Jackets	33	55
Lukas Parik	COLUMBUS Blue Jackets	33	133
Lukas Vejdemo	COLUMBUS Blue Jackets	25	29
Luke Martin	COLUMBUS Blue Jackets	29	60
Marcus Hogberg	COLUMBUS Blue Jackets
Martin Fehervary	COLUMBUS Blue Jackets	31	82
Mattew Phillips	COLUMBUS Blue Jackets	28	57
Mattias Norlinder	COLUMBUS Blue Jackets	33	81
Maxim Chudinov	COLUMBUS Blue Jackets
Michael Vukojevic	COLUMBUS Blue Jackets	33	107
Nicholas Merkley	COLUMBUS Blue Jackets	26	15
Noel Hoefenmayer	COLUMBUS Blue Jackets
Ostap Safin	COLUMBUS Blue Jackets
Paul Bittner	COLUMBUS Blue Jackets	26	17
Petrus Palmu	COLUMBUS Blue Jackets
Raphael Lavoie	COLUMBUS Blue Jackets	33	29
Rasmus Asplund	COLUMBUS Blue Jackets	27	16
Rasmus Sandin	COLUMBUS Blue Jackets	31	30
Ryan Collins	COLUMBUS Blue Jackets	23	50
Simon Fernholm	COLUMBUS Blue Jackets	20	96
Spencer Smallman	COLUMBUS Blue Jackets	26	69
Toni Utunen	COLUMBUS Blue Jackets	31	160
Veini Vehvilainen	COLUMBUS Blue Jackets	28	83
Ville Husso	COLUMBUS Blue Jackets	24	48

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
33	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
34	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
35	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
36	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
37	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ

[2019-07-19 21:51:57] - John Ludvig has been added to COLUMBUS Blue Jackets.
[2019-07-19 21:40:03] - Lukas Parik has been added to COLUMBUS Blue Jackets.
[2019-07-12 19:35:35] - Michael Vukojevic has been added to COLUMBUS Blue Jackets.
[2019-07-10 21:20:44] - Mattias Norlinder has been added to COLUMBUS Blue Jackets.
[2019-07-10 21:07:35] - Karl Henriksson has been added to COLUMBUS Blue Jackets.
[2019-07-10 20:51:40] - Raphael Lavoie has been added to COLUMBUS Blue Jackets.
[2019-07-09 21:59:00] - Bowen Byram has been added to COLUMBUS Blue Jackets.
[2019-06-04 19:58:57] - CLEVELAND Monsters was eliminated at round 1 of year 32.
[2019-05-30 19:05:03] - COLUMBUS Blue Jackets didn't make playoff for year 32.
[2019-05-16 19:10:32] - Joseph LaBate was released.
[2019-05-16 19:10:32] - COLUMBUS Blue Jackets paid $308,468 to release Joseph LaBate.
[2019-05-16 19:10:22] - Kyle Rau was released.
[2019-05-16 19:10:22] - COLUMBUS Blue Jackets paid $308,468 to release Kyle Rau.
[2019-05-16 19:10:09] - Scott Wilson was released.
[2019-05-16 19:10:09] - COLUMBUS Blue Jackets paid $221,855 to release Scott Wilson.
[2019-05-16 19:08:52] - Mikko Vainonen has been deleted from COLUMBUS Blue Jackets.
[2019-05-16 19:08:46] - Mario Lucia has been deleted from COLUMBUS Blue Jackets.
[2019-05-16 19:08:33] - Brandon Whitney has been deleted from COLUMBUS Blue Jackets.
[2019-05-16 19:08:28] - Anton Zlobin has been deleted from COLUMBUS Blue Jackets.
[2019-05-16 19:08:13] - Anthony Florentino has been deleted from COLUMBUS Blue Jackets.
[2019-01-21 20:10:28] - Mats Zuccarello was added to COLUMBUS Blue Jackets.
[2019-01-21 15:52:40] - Andy Greene was released.
[2019-01-21 15:52:40] - COLUMBUS Blue Jackets paid $0 to release Andy Greene.
[2019-01-21 15:52:24] - Sam Gagner was released.
[2019-01-21 15:52:24] - COLUMBUS Blue Jackets paid $0 to release Sam Gagner.
[2019-01-09 18:57:38] - CLEVELAND Monsters hired Eric Veilleux for $75,000 for 4 year(s).
[2019-01-09 18:57:11] - COLUMBUS Blue Jackets hired Michel Therrien for $982,000 for 4 year(s).
[2019-01-08 16:59:46] - Team Name Change : COMLUMBUS Blue Jackets changed name to COLUMBUS Blue Jackets
[2019-01-08 16:59:21] - Team Name Change : Cleveland Monsters changed name to CLEVELAND Monsters
[2019-01-08 16:59:08] - Team Name Change : Blue Jackets changed name to COMLUMBUS Blue Jackets
[2018-12-29 21:46:25] - Eric Veilleux contract with Cleveland Monsters has ended.
[2018-12-29 21:46:25] - Michel Therrien contract with Blue Jackets has ended.
[2018-12-13 20:09:40] - Cleveland Monsters was eliminated at round 1 of year 31.
[2018-12-09 11:11:36] - Blue Jackets didn't make playoff for year 31.
[2018-10-30 11:02:58] - Maxim Lapierre has been deleted from Blue Jackets.
[2018-10-30 11:02:47] - David Farrance has been deleted from Blue Jackets.
[2018-10-30 11:01:40] - Aarne Talvite has been deleted from Blue Jackets.

[2019-07-19 21:51:57] John Ludvig has been added to COLUMBUS Blue Jackets.
[2019-07-19 21:40:03] Lukas Parik has been added to COLUMBUS Blue Jackets.
[2019-07-12 19:35:35] Michael Vukojevic has been added to COLUMBUS Blue Jackets.
[2019-07-11 15:21:24] (8 000 000 $) was added to COLUMBUS Blue Jackets bank account.
[2019-07-11 15:17:12] COLUMBUS Blue Jackets roster errors : Not enough Left Wings available in Pro Team! 1 Dressed. 2 Required. Not enough Right Wings available in Pro Team! 0 Dressed. 2 Required. Not enough Forward available in Pro Team! 3 Dressed. 9 Required. Not enough Defenseman available in Pro Team! 4 Dressed. 5 Required. Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Not enough Players available in Pro Team! 7 Dressed. 18 Required. Some errors will be automatically fixed.
[2019-07-10 21:20:44] Mattias Norlinder has been added to COLUMBUS Blue Jackets.
[2019-07-10 21:07:35] Karl Henriksson has been added to COLUMBUS Blue Jackets.
[2019-07-10 20:51:40] Raphael Lavoie has been added to COLUMBUS Blue Jackets.
[2019-07-09 21:59:00] Bowen Byram has been added to COLUMBUS Blue Jackets.
[2019-07-06 09:05:28] COLUMBUS Blue Jackets has a 21.86% chance of winning the Draft Lottery!

No Injury or Suspension.

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

Year	R1	R2	R3	R4	R5	R6	R7
33	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
34	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
35	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
36	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
37	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ

Year	R1	R2	R3	R4	R5	R6	R7
33	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
34	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
35	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
36	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
37	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ

Year	R1	R2	R3	R4	R5	R6	R7
33	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
34	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
35	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
36	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ
37	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ	CBJ