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

Team Leaders

Team Stats

Team Info
	General Manager	Vincent
	Division	Metropolitan
	Conference	Eastern
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	Nationwide Arena
	Capacity	16,000
	Attendance
	Season Tickets	3,200
Roster Info
	Pro Team	21
	Farm Team	14
	Contract Limit	35 / 50
	Prospects	32
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	67,000,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	23
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	5,515,374$
	Projected Bank Account	5,515,374$
Team History
	This Season	0-0
	History	139-157-31 (0.425%)
	Playoff Appearances	1
	Playoff Record (W-L)	5 - 6 (0.455%)
	Stanley Cup	0

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	Artemi Panarin		X			100.00	54	30	94	88	65	77	97	92	56	88	84	61	66	83	67	0	50	83		2	33	2	8,000,000$
2	Kirill Marchenko			X		100.00	61	35	92	73	72	75	96	84	52	83	80	66	71	47	49	0	50	79		1	24	3	1,000,000$
3	Charlie Coyle			X		100.00	68	39	91	67	76	72	99	68	48	60	63	73	63	96	73	0	50	75	N	1	33	1	4,000,000$
4	Dmitri Voronkov	X				100.00	62	43	77	68	80	72	91	76	49	70	74	64	62	43	47	0	50	74		1	24	4	1,000,000$
5	Boone Jenner	X				100.00	64	39	86	65	73	74	48	70	52	67	62	67	56	82	66	0	50	71	N	1	32	2	2,800,000$
6	Eric Robinson		X			100.00	69	38	94	69	74	63	99	69	47	62	60	62	55	59	55	0	50	71		1	30	5	1,700,000$
7	Mathieu Olivier			X		100.00	95	76	43	65	76	67	99	67	47	56	66	69	58	50	50	0	50	71		1	28	2	1,200,000$
8	Jesperi Kotkaniemi	X				100.00	62	43	77	71	74	66	95	70	53	66	57	60	54	65	58	0	50	70		1	24	3	3,400,000$
9	Luke Kunin	X				100.00	80	53	75	71	69	67	93	63	45	45	57	66	54	62	56	0	50	69		0	27	3	1,500,000$
10	Yegor Chinakhov			X		100.00	62	36	90	76	71	69	52	72	49	62	62	59	56	45	48	0	50	69		0	24	4	1,600,000$
11	Alexandre Texier		X			100.00	59	39	82	71	71	63	53	65	46	53	57	60	54	48	49	0	50	65		0	25	5	2,200,000$
12	Mikael Pyyhtia (R)		X			100.00	61	34	94	64	65	62	67	55	43	41	45	64	48	37	44	0	65	61		0	23	4	900,000$
13	Zach Werenski				X	100.00	58	33	92	80	74	87	98	79	51	90	72	81	61	71	61	0	50	82		2	27	6	7,700,000$
14	Damon Severson				X	100.00	62	40	82	71	73	71	88	66	47	66	47	75	46	85	68	0	50	74		1	30	5	3,100,000$
15	Nick Blankenburg				X	100.00	63	37	89	64	62	72	79	60	45	59	43	73	47	41	46	0	50	68		0	27	6	1,300,000$
16	Jake Bean				X	100.00	59	32	95	67	69	63	83	54	43	43	35	66	43	50	50	0	50	65		0	27	1	1,700,000$
17	Jake Christiansen				X	100.00	63	35	93	65	69	58	86	53	43	46	33	63	42	40	45	0	53	64		0	25	2	900,000$
18	Jordan Harris				X	100.00	63	38	87	66	66	56	55	54	43	47	35	65	43	44	47	0	50	62		0	24	3	1,200,000$
Scratches
1	Erik Gudbranson				X	96.01	70	50	70	58	79	69	39	52	42	44	30	70	40	87	69	0	50	65		0	33	3	2,500,000$
Farm Team
1	Hudson Fasching			X		100.00	61	34	93	65	75	60	64	52	42	37	38	61	44	45	48	0	54	60		0	29	3	800,000$
2	Luca Del Bel Belluz (R)	X				100.00	57	40	78	63	68	66	39	59	38	58	42	54	46	34	42	0	50	59		0	21	2	891,667$
3	Conor Sheary		X			100.00	58	43	72	65	62	61	30	55	42	47	38	53	44	73	62	0	50	57		0	33	1	1,200,000$
4	Brendan Gaunce	X				100.00	72	52	68	60	77	57	36	48	41	37	31	58	41	46	48	0	53	56		0	31	3	900,000$
5	Rutger McGroarty (R)			X		100.00	54	39	76	64	72	67	32	53	42	47	32	54	41	34	42	0	50	56		0	21	3	950,000$
6	Owen Sillinger	X				100.00	62	50	62	61	64	64	26	52	37	45	35	51	43	33	42	0	50	54		0	27	1	775,000$
7	James Malatesta (R)		X			100.00	66	50	66	65	66	59	27	48	44	37	27	48	39	34	42	0	50	53		0	22	2	841,667$
8	Liam Foudy	X				100.00	54	41	73	64	68	53	27	49	41	38	29	53	40	40	45	0	50	53		0	25	3	1,000,000$
9	Joseph LaBate	X				100.00	77	67	43	60	80	56	30	47	39	36	31	52	41	34	42	0	50	53		0	32	1	775,000$
10	Justin Robidas (R)	X				100.00	42	33	77	62	61	60	27	49	37	45	26	49	38	33	42	0	50	51		0	22	2	825,000$
11	Jack Williams (R)			X		100.00	46	39	69	55	66	60	26	40	35	29	22	46	36	33	42	0	50	47		0	23	1	923,750$
12	Denton Mateychuk (R)				X	100.00	62	38	87	62	66	69	66	58	44	59	47	68	49	36	43	0	50	65		0	20	3	886,666$
13	David Jiricek (R)				X	100.00	65	49	68	65	75	57	36	54	43	48	43	64	47	37	44	0	50	61		0	21	2	950,000$

	TEAM AVERAGE					99.88	63	42	79	67	71	65	62	60	45	53	47	62	49	51	51	0	51	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
1	Elvis Merzlikins	100.00	68	81	81	71	77	77	77	74	77	80	81	49	60	0	50	79	1	31	2	5,400,000$
2	Jet Greaves (R)	100.00	66	56	56	68	66	65	65	67	66	63	55	27	47	0	56	67	0	24	4	800,000$
Scratches
Farm Team
1	Clay Stevenson (R)	100.00	60	51	51	73	60	65	63	63	66	60	55	25	46	0	50	64	0	26	1	775,000$

	TEAM AVERAGE	100.00	65	63	63	71	68	69	68	68	70	68	64	34	51	0	52	70

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	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	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
Alexandre Texier (1 Way Contract)	Columbus	LW	25	1999-09-13	FRA	No	201 Lbs	6 ft1	No	No	Prospect		Yes	No	5	2025-08-09	False	False	Pro & Farm	2,200,000$	2,200,000$	471,429$	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$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Artemi Panarin (1 Way Contract)	Columbus	LW	33	1991-10-30	RUS	No	177 Lbs	6 ft0	No	No	N/A		Yes	No	2	2025-08-09	False	False	Pro & Farm	8,000,000$	8,000,000$	1,714,286$	No	8,000,000$	-	-	-	-	-	-	-	-	8,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	NHL Link
Boone Jenner (1 Way Contract)	Columbus	C	32	1993-06-15	CAN	No	203 Lbs	6 ft2	Yes	No	N/A		Yes	No	2	2025-08-09	False	False	Pro & Farm	2,800,000$	2,800,000$	600,000$	No	2,800,000$	-	-	-	-	-	-	-	-	2,800,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Link / NHL Link
Charlie Coyle (1 Way Contract)	Columbus	RW	33	1992-03-02	USA	No	215 Lbs	6 ft3	Yes	No	Trade	2025-07-12	Yes	No	1	2025-08-09	False	False	Pro & Farm	4,000,000$	4,000,000$	857,143$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Damon Severson (1 Way Contract)	Columbus	D	30	1994-08-07	CAN	No	204 Lbs	6 ft2	No	No	Trade	2025-07-27	Yes	No	5	2025-08-09	False	False	Pro & Farm	3,100,000$	3,100,000$	664,286$	No	3,100,000$	3,100,000$	3,100,000$	3,100,000$	-	-	-	-	-	3,100,000$	3,100,000$	3,100,000$	3,100,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Dmitri Voronkov (1 Way Contract)	Columbus	C	24	2000-09-10	RUS	No	227 Lbs	6 ft5	No	No	Prospect		Yes	No	4	2025-08-09	False	False	Pro & Farm	1,000,000$	1,000,000$	214,286$	No	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	-	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Elvis Merzlikins (1 Way Contract)	Columbus	G	31	1994-04-13	LVA	No	190 Lbs	6 ft3	No	No	Trade	2025-07-19	Yes	No	2	2025-08-09	False	False	Pro & Farm	5,400,000$	5,400,000$	1,157,143$	No	5,400,000$	-	-	-	-	-	-	-	-	5,400,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Eric Robinson (1 Way Contract)	Columbus	LW	30	1995-06-14	USA	No	211 Lbs	6 ft2	No	No	N/A		Yes	No	5	2025-08-09	False	False	Pro & Farm	1,700,000$	1,700,000$	364,286$	No	1,700,000$	1,700,000$	1,700,000$	1,700,000$	-	-	-	-	-	1,700,000$	1,700,000$	1,700,000$	1,700,000$	-	-	-	-	-	No	No	No	No	-	-	-	-	-	Link / NHL Link
Erik Gudbranson (1 Way Contract)	Columbus	D	33	1992-01-07	CAN	No	222 Lbs	6 ft5	No	No	N/A		Yes	No	3	2025-08-09	False	False	Pro & Farm	2,500,000$	2,500,000$	535,714$	No	2,500,000$	2,500,000$	-	-	-	-	-	-	-	2,500,000$	2,500,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	NHL Link
Jake Bean (1 Way Contract)	Columbus	D	27	1998-06-09	CAN	No	191 Lbs	6 ft1	No	No	N/A		Yes	No	1	2025-08-09	False	False	Pro & Farm	1,700,000$	1,700,000$	364,286$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jake Christiansen	Columbus	D	25	1999-09-12	CAN	No	197 Lbs	6 ft0	No	No	N/A		Yes	No	2	2025-08-09	False	False	Pro & Farm	900,000$	900,000$	192,857$	No	900,000$	-	-	-	-	-	-	-	-	900,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jesperi Kotkaniemi (1 Way Contract)	Columbus	C	24	2000-07-06	FIN	No	203 Lbs	6 ft3	No	No	Trade	2025-08-10	Yes	No	3	2025-08-09	False	False	Pro & Farm	3,400,000$	3,400,000$	728,571$	No	3,400,000$	3,400,000$	-	-	-	-	-	-	-	3,400,000$	3,400,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Jet Greaves	Columbus	G	24	2001-03-30	CAN	Yes	190 Lbs	6 ft0	No	No	N/A		No	No	4	2025-08-09	False	False	Pro & Farm	800,000$	800,000$	171,429$	No	800,000$	800,000$	800,000$	-	-	-	-	-	-	800,000$	800,000$	800,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Jordan Harris (1 Way Contract)	Columbus	D	24	2000-07-07	USA	No	187 Lbs	5 ft11	No	No	Trade	2025-08-10	Yes	No	3	2025-08-09	False	False	Pro & Farm	1,200,000$	1,200,000$	257,143$	No	1,200,000$	1,200,000$	-	-	-	-	-	-	-	1,200,000$	1,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Kirill Marchenko (1 Way Contract)	Columbus	RW	24	2000-07-21	RUS	No	197 Lbs	6 ft3	No	No	N/A		Yes	No	3	2025-08-09	False	False	Pro & Farm	1,000,000$	1,000,000$	214,286$	No	1,000,000$	1,000,000$	-	-	-	-	-	-	-	1,000,000$	1,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Luke Kunin (1 Way Contract)	Columbus	C	27	1997-12-04	USA	No	197 Lbs	6 ft0	No	No	Trade	2025-03-10	Yes	No	3	2025-08-09	False	False	Pro & Farm	1,500,000$	1,500,000$	321,429$	No	1,500,000$	1,500,000$	-	-	-	-	-	-	-	1,500,000$	1,500,000$	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Mathieu Olivier	Columbus	RW	28	1997-02-11	USA	No	226 Lbs	6 ft1	No	No	Trade	2025-07-23	Yes	No	2	2025-08-09	False	False	Pro & Farm	1,200,000$	1,200,000$	257,143$	No	1,200,000$	-	-	-	-	-	-	-	-	1,200,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mikael Pyyhtia	Columbus	LW	23	2001-12-17	FIN	Yes	176 Lbs	6 ft0	No	No	N/A		No	No	4	2025-08-09	False	False	Pro & Farm	900,000$	900,000$	192,857$	No	900,000$	900,000$	900,000$	-	-	-	-	-	-	900,000$	900,000$	900,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Nick Blankenburg (1 Way Contract)	Columbus	D	27	1998-05-12	USA	No	177 Lbs	5 ft9	No	No	N/A		Yes	No	6	2025-08-09	False	False	Pro & Farm	1,300,000$	1,300,000$	278,571$	No	1,300,000$	1,300,000$	1,300,000$	1,300,000$	1,300,000$	-	-	-	-	1,300,000$	1,300,000$	1,300,000$	1,300,000$	1,300,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link / NHL Link
Yegor Chinakhov (1 Way Contract)	Columbus	RW	24	2001-02-01	RUS	No	201 Lbs	6 ft1	No	No	N/A		Yes	No	4	2025-08-09	False	False	Pro & Farm	1,600,000$	1,600,000$	342,857$	No	1,600,000$	1,600,000$	1,600,000$	-	-	-	-	-	-	1,600,000$	1,600,000$	1,600,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Zach Werenski (1 Way Contract)	Columbus	D	27	1997-07-19	USA	No	211 Lbs	6 ft2	No	No	N/A		Yes	No	6	2025-08-09	False	False	Pro & Farm	7,700,000$	7,700,000$	1,650,000$	No	7,700,000$	7,700,000$	7,700,000$	7,700,000$	7,700,000$	-	-	-	-	7,700,000$	7,700,000$	7,700,000$	7,700,000$	7,700,000$	-	-	-	-	No	No	No	No	No	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	27.38	200 Lbs	6 ft1	3.33	2,566,667$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
53,900,000$	48,200,000$	29,900,000$	20,300,000$	16,000,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Artemi Panarin	Dmitri Voronkov	Kirill Marchenko	32	1	2	2
2	Eric Robinson	Boone Jenner	Charlie Coyle	29	1	2	2
3	Alexandre Texier	Jesperi Kotkaniemi	Mathieu Olivier	24	1	2	2
4	Mikael Pyyhtia	Luke Kunin	Yegor Chinakhov	15	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Werenski	Damon Severson	32	1	2	2
2	Nick Blankenburg	Jake Bean	29	1	2	2
3	Jake Christiansen	Jordan Harris	24	1	2	2
4	Zach Werenski	Damon Severson	15	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Artemi Panarin	Dmitri Voronkov	Kirill Marchenko	60	1	2	2
2	Eric Robinson	Boone Jenner	Charlie Coyle	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Werenski	Damon Severson	60	1	2	2
2	Nick Blankenburg	Jake Bean	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Artemi Panarin	Kirill Marchenko	60	1	2	2
2	Charlie Coyle	Dmitri Voronkov	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Werenski	Damon Severson	60	1	2	2
2	Nick Blankenburg	Jake Bean	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Artemi Panarin	60	1	2	2	Zach Werenski	Damon Severson	60	1	2	2
2	Kirill Marchenko	40	1	2	2	Nick Blankenburg	Jake Bean	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Artemi Panarin	Kirill Marchenko	60	1	2	2
2	Charlie Coyle	Dmitri Voronkov	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Zach Werenski	Damon Severson	60	1	2	2
2	Nick Blankenburg	Jake Bean	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Artemi Panarin	Dmitri Voronkov	Kirill Marchenko	Zach Werenski	Damon Severson

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Artemi Panarin	Dmitri Voronkov	Kirill Marchenko	Zach Werenski	Damon Severson

Extra Forwards
Normal	PowerPlay	Penalty Kill
Mathieu Olivier, Jesperi Kotkaniemi, Luke Kunin	Mathieu Olivier, Jesperi Kotkaniemi	Luke Kunin

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Jake Christiansen, Jordan Harris, Nick Blankenburg	Jake Christiansen	Jordan Harris, Nick Blankenburg

Penalty Shots
Artemi Panarin, Kirill Marchenko, Charlie Coyle, Dmitri Voronkov, Boone Jenner

Goalie
#1 : Elvis Merzlikins, #2 : Jet Greaves

Custom OT Lines Forwards
Artemi Panarin, Kirill Marchenko, Charlie Coyle, Dmitri Voronkov, Boone Jenner, Eric Robinson, Mathieu Olivier, Jesperi Kotkaniemi, Luke Kunin, Yegor Chinakhov

Custom OT Lines Defensemen
Zach Werenski, Damon Severson, Nick Blankenburg, Jake Bean, Jake Christiansen

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	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	5000	5000	2000	4000	0
Ticket Price	200	120	80	55	400
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
41	0 - 0%	0$	0$	16000	108

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
0$	55,900,000$	55,900,000$	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$	23	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	3	0$	0$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
0$	5,515,374$	5,515,374$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
0$	67,000,000$	67,000,000$	-47,000,000$

Depth Chart

Left Wing

Center

Right Wing

Artemi Panarin	AGE:33	PO:0	OV:83
Eric Robinson	AGE:30	PO:0	OV:71
Alexandre Texier	AGE:25	PO:0	OV:65
Mikael Pyyhtia (R)	AGE:23	PO:0	OV:61
Conor Sheary	AGE:33	PO:0	OV:57
James Malatesta (R)	AGE:22	PO:0	OV:53

Dmitri Voronkov	AGE:24	PO:0	OV:74
Boone Jenner	AGE:32	PO:0	OV:71
Jesperi Kotkaniemi	AGE:24	PO:0	OV:70
Luke Kunin	AGE:27	PO:0	OV:69
Luca Del Bel Belluz (R)	AGE:21	PO:0	OV:59
Brendan Gaunce	AGE:31	PO:0	OV:56
Owen Sillinger	AGE:27	PO:0	OV:54
Liam Foudy	AGE:25	PO:0	OV:53
Joseph LaBate	AGE:32	PO:0	OV:53
Justin Robidas (R)	AGE:22	PO:0	OV:51

Kirill Marchenko	AGE:24	PO:0	OV:79
Charlie Coyle	AGE:33	PO:0	OV:75
Mathieu Olivier	AGE:28	PO:0	OV:71
Yegor Chinakhov	AGE:24	PO:0	OV:69
Hudson Fasching	AGE:29	PO:0	OV:60
Rutger McGroarty (R)	AGE:21	PO:0	OV:56
Jack Williams (R)	AGE:23	PO:0	OV:47

Defense #1

Defense #2

Goalie

Zach Werenski	AGE:27	PO:0	OV:82
Damon Severson	AGE:30	PO:0	OV:74
Nick Blankenburg	AGE:27	PO:0	OV:68
Denton Mateychuk (R)	AGE:20	PO:0	OV:65
Jake Bean	AGE:27	PO:0	OV:65

Erik Gudbranson	AGE:33	PO:0	OV:65
Jake Christiansen	AGE:25	PO:0	OV:64
Jordan Harris	AGE:24	PO:0	OV:62
David Jiricek (R)	AGE:21	PO:0	OV:61

Elvis Merzlikins	AGE:31	PO:0	OV:79
Jet Greaves (R)	AGE:24	PO:0	OV:67
Clay Stevenson (R)	AGE:26	PO:0	OV:64

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
Adam Zlnka	Columbus	2022	152
Aleksandr Kisakov	Columbus	2021	56
Andrew Strathmann	Columbus	2023	87
Cayden Lindstrom	Columbus	2024	5
Charlie Elick	Columbus	2024	35
Corson Ceulemans	Columbus	2021	24
Eric Hjorth	Columbus	2019	86
Evan Gardner	Columbus	2024	67
Guillaume Richard	Columbus	2021	118
Jackson Smith	Columbus	2025	12
Jordan Dumais	Columbus	2022	95
Kevin He	Columbus	2024	131
Kirill Dolzhenkov	Columbus	2022	116
Luca Marrelli	Columbus	2024	81
Luca Pinelli	Columbus	2023	101
Malte Vass	Columbus	2025	76
Maxim Groshev	Columbus	2020	99
Maxim Strbak	Columbus	2023	57
Melvin Strahl	Columbus	2023	140
Nicholas Moldenhauer	Columbus	2022	69	2025-09-13
Nikita Alexandrov	Columbus	2019	62	2025-07-29
Nikolai Makarov	Columbus	2021	144
Noah Dower Nilsson	Columbus	2023	79
Ole Julian Bjorgvik-Holm	Columbus	2020	131
Owen Griffin	Columbus	2025	140
Quinton Burns	Columbus	2023	84	2024-08-01
Samuel Knazko	Columbus	2020	69
Sawyer Mynio	Columbus	2023	108
Sergei Ivanov	Columbus	2022	120
Servac Petrovsky	Columbus	2022	136
Stanislav Svozil	Columbus	2021	63
Tanner Henricks	Columbus	2024	99

Draft Picks

Year	R1	R2	R3	R4	R5
2026
2027
2028
2029
2030
Conditional Draft Picks

Le 2e choix total en Floride!

By Kyrel (Florida) On Tuesday 29th September 2020 / 2:58am

Il y du mouvement dans l'ordre de la prochaine draft!
Les Panthers de la Floride envoient leur choix de première ronde (8e) ainsi que celui des Sharks (7e) contre le choix de première ronde de Columbus (2e).

Avec 4 choix de première ronde cette année, c'est une avancée que pouvait se permettre le dg de la Floride.

La question: Byfield ou Stutzle?

View comments (3)

Aymeric (

St-Louis) On 29th September / 7:29am :

Sacré coup de griffe des Panthers , la draft va être passionnante.

Pierre (

NY Rangers) On 2nd October / 12:12pm : Byfield :)

Stephane (

Columbus) On 7th October / 7:47pm :

Maaybe yes, Maaaaybe no ! :)

New Comment

Columbus Trade History

[5/1/2026 12:09:50 PM] Columbus didn't make playoff for year 2025.

No Injury or Suspension.

Columbus 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	Artemi Panarin	297	97	141	238	0	46	143	467	931	10.42%	32	6171	20.78	20	40	60	180	1	2	3	16	16	8	47.98%	1	0.77	3	18
2	Zach Werenski	302	45	168	213	-44	114	241	408	409	11.00%	371	6556	21.71	22	44	66	241	0	3	3	4	3	1	0%	0	0.65	0	0
3	Boone Jenner	300	96	102	198	8	110	387	549	815	11.78%	70	5295	17.65	21	33	54	183	2	0	2	18	17	3	55.62%	3	0.75	1	7
4	Johnny Gaudreau	157	62	76	138	-2	22	86	243	513	12.09%	19	2793	17.79	14	21	35	96	1	1	2	9	10	3	47.71%	2	0.99	2	8
5	Kirill Marchenko	240	53	80	133	-15	65	191	204	633	8.37%	38	4609	19.21	13	21	34	122	2	0	2	13	7	1	44.48%	1	0.58	4	14

Columbus 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	Joonas Korpisalo	156	62	70	10	0.893	3.05	8325	10	7	423	3966	7	0	0.759	29
2	Sergei Bobrovsky	65	27	24	8	0.902	2.57	3640	4	2	156	1585	3	2	0.625	16
3	Elvis Merzlikins	69	25	32	9	0.900	2.76	3930	2	1	181	1805	0	2	0.750	20
4	Daniil Tarasov	58	20	18	4	0.902	2.92	2671	2	0	130	1329	2	0	0.800	5
5	Jet Greaves	16	4	7	0	0.919	2.34	770	0	1	30	369	0	1	0	0

Columbus 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	30	36	0	4	4	3	5	226	230	-4	41	17	14	0	3	3	2	2	123	118	5	41	13	22	0	1	1	1	3	103	112	-9	83	226	399	625	2	3	77	77	65	10	2134	681	689	717	72	2165	605	715	1311	298	54	18.12%	290	60	79.31%	3	1374	2585	53.15%	1294	2519	51.37%	620	1239	50.04%	1995	1393	1953	593	1032	517
2023	82	23	42	0	7	5	3	2	215	267	-52	41	13	17	0	6	4	0	1	118	137	-19	41	10	25	0	1	1	3	1	97	130	-33	73	215	371	586	0	1	76	73	56	12	2221	714	764	711	47	2488	680	665	1454	302	53	17.55%	287	47	83.62%	2	1250	2536	49.29%	1378	2770	49.75%	637	1262	50.48%	1833	1255	2107	616	1029	493
2024	82	33	36	0	4	5	3	1	228	232	-4	41	15	20	0	1	4	1	0	122	133	-11	41	18	16	0	3	1	2	1	106	99	7	86	228	399	627	0	5	69	73	79	9	2157	654	718	756	41	2361	691	767	1418	309	61	19.74%	315	55	82.54%	2	1253	2503	50.06%	1348	2705	49.83%	651	1311	49.66%	1871	1275	2051	614	1046	510
2025	82	23	43	0	3	5	3	5	194	238	-44	41	12	23	0	1	2	1	2	94	113	-19	41	11	20	0	2	3	2	3	100	125	-25	68	194	347	541	3	2	68	66	54	7	2157	714	710	723	33	2294	668	677	1393	264	37	14.02%	278	49	82.37%	3	1232	2581	47.73%	1308	2620	49.92%	590	1217	48.48%	1895	1308	2044	607	1036	507
Total Regular Season	328	109	157	0	18	19	12	13	863	967	-104	164	57	74	0	11	13	4	5	457	501	-44	164	52	83	0	7	6	8	8	406	466	-60	310	863	1516	2379	5	11	290	289	254	38	8669	2763	2881	2907	193	9308	2644	2824	5576	1173	205	17.48%	1170	211	81.97%	10	5109	10205	50.06%	5328	10614	50.20%	2498	5029	49.67%	7596	5231	8156	2431	4144	2029
Playoff
2021	11	5	6	0	0	0	0	0	23	25	-2	5	2	3	0	0	0	0	0	9	10	-1	6	3	3	0	0	0	0	0	14	15	-1	10	23	40	63	0	0	10	4	8	1	252	71	79	98	4	266	90	78	182	49	10	20.41%	37	6	83.78%	1	162	354	45.76%	139	334	41.62%	65	150	43.33%	271	184	261	81	143	73
Total Playoff	11	5	6	0	0	0	0	0	23	25	-2	5	2	3	0	0	0	0	0	9	10	-1	6	3	3	0	0	0	0	0	14	15	-1	10	23	40	63	0	0	10	4	8	1	252	71	79	98	4	266	90	78	182	49	10	20.41%	37	6	83.78%	1	162	354	45.76%	139	334	41.62%	65	150	43.33%	271	184	261	81	143	73

Columbus 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	PKA	PKP	GW	GT	FO%	P/20
1	Dougie Hamilton	11	1	5	6	-5	12	12	8	24	4.17%	14	256	23.35	1	2	3	19	1	1	0	0	0%	0.47
2	Tomas Tatar	11	3	3	6	3	4	13	10	16	18.75%	1	183	16.67	1	2	3	1	0	0	1	0	55.56%	0.65
3	Ryan Murray	11	1	5	6	0	4	11	8	12	8.33%	11	234	21.35	0	2	2	6	0	0	0	0	0%	0.51
4	Artemi Panarin	11	3	3	6	-8	2	1	13	40	7.50%	0	211	19.27	1	3	4	6	0	0	0	1	31.25%	0.57
5	Sam Reinhart	4	2	3	5	4	0	3	6	8	25.00%	0	59	14.84	0	1	1	2	0	0	1	0	47.76%	1.68

Columbus 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
1	Joonas Korpisalo	10	5	5	0	0.910	2.16	612	0	0	22	245	0	0	0	0	0
2	Sergei Bobrovsky	1	0	1	0	0.857	3.00	60	0	0	3	21	0	0	0	0	0

	Columbus
	GP: 0 \| W: 0 \| L: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : Vincent \| Morale : 50 \| Team Overall : 71