Cleveland Monsters
Home
Roster
Players Stats
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Injury / Suspension
Web Roster Editor
Web Lines Editor

Game Center
	Hamilton Mustangs 31-17-6, 93pts	2	Box score	1	Columbus Blue Jackets 36-12-5, 104pts

Team Stats
W1	Streak	W1
18-4-3	Home Record	19-6-1
13-13-3	Away Record	17-6-4
5-2-3	Last 10 Games	8-1-1
2.70	Goals Per Game	2.87
2.37	Goals Against Per Game	2.11
13.43%	Power Play Percentage	18.14%
82.58%	Penalty Kill Percentage	85.51%

Columbus Blue Jackets
36-12-5, 104pts

Box score

Quebec Nordiques
24-23-6, 74pts

Team Stats
W1	Streak	L3
19-6-1	Home Record	12-12-2
17-6-4	Away Record	12-11-4
8-1-1	Last 10 Games	3-6-1
2.87	Goals Per Game	2.91
2.11	Goals Against Per Game	3.04
18.14%	Power Play Percentage	21.14%
85.51%	Penalty Kill Percentage	83.39%

Ottawa Senators
27-17-9, 85pts

Day 132

Columbus Blue Jackets
36-12-5, 104pts

Team Stats
W2	Streak	W1
20-4-3	Home Record	19-6-1
7-13-6	Away Record	17-6-4
8-1-1	Last 10 Games	8-1-1
3.04	Goals Per Game	2.87
2.94	Goals Against Per Game	2.87
22.01%	Power Play Percentage	18.14%
80.88%	Penalty Kill Percentage	85.51%

Columbus Blue Jackets
36-12-5, 104pts

Day 135

Edmonton Oilers
25-19-10, 81pts

Team Stats
W1	Streak	L2
19-6-1	Home Record	11-10-7
17-6-4	Away Record	14-9-3
8-1-1	Last 10 Games	5-3-2
2.87	Goals Per Game	2.57
2.11	Goals Against Per Game	2.57
18.14%	Power Play Percentage	14.21%
85.51%	Penalty Kill Percentage	85.98%

Columbus Blue Jackets
36-12-5, 104pts

Day 137

Detroit Red Wings
27-17-10, 85pts

Team Stats
W1	Streak	W2
19-6-1	Home Record	11-10-6
17-6-4	Away Record	16-7-4
8-1-1	Last 10 Games	6-2-2
2.87	Goals Per Game	2.72
2.11	Goals Against Per Game	2.72
18.14%	Power Play Percentage	17.29%
85.51%	Penalty Kill Percentage	81.29%

Team Leaders
Goals Sean Monahan 24			Assists Sean Monahan 31

Points Sean Monahan 55			Plus/Minus Riley Stillman 11

Wins Mackenzie Blackwood 32			Save Percentage Mackenzie Blackwood 0.932

Team Stats
Goals For 152 2.87 GFG	Shots For 1657 31.26 Avg	Power Play Percentage 18.1% 39 GF	Offensive Zone Start 39.8%
Goals Against 112 2.11 GAA	Shots Against 1533 28.92 Avg	Penalty Kill Percentage 85.5%% 20 GA	Defensive Zone Start 38.4%

Team Info
	General Manager	Josh
	Division	Central Division
	Conference	Western Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	Nationwide Arena
	Capacity	18,000
	Attendance	16,817
	Season Tickets	8,100
Roster Info
	Pro Team	21
	Farm Team	29
	Contract Limit	50 / 250
	Prospects	64
Finance
	Year to Date Revenue	31,013,605$
	Year To Date Expenses	51,338,849$
	Estimated Season Revenue	16,699,633$
	Estimated Season Expenses	22,597,992$
	Current Bank Account	82,381,773$
	Projected Bank Account	76,594,422$

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	Sean Monahan	0	X				100.00	67	50	90	93	79	97	99	86	99	90	91	81	87	79	74	55	40	83		0	30	2	5,550,000$
2	Vincent Trocheck	0	X				100.00	89	43	89	95	58	94	95	82	97	85	86	75	84	80	74	55	40	80		0	31	2	4,000,000$
3	Carter Verhaeghe	0		X			100.00	69	45	78	90	70	89	90	83	69	87	90	72	84	78	67	55	40	79		0	29	4	4,500,000$
4	Valeri Nichushkin	0			X		100.00	75	47	86	76	85	92	93	88	60	80	90	74	84	79	84	55	40	79		0	30	3	4,200,000$
5	Anthony Beauvillier	0			X		100.00	86	45	81	93	60	90	89	80	74	79	90	70	83	77	73	55	40	78		0	28	1	5,166,667$
6	Chris Tierney	0	X				100.00	59	42	86	87	73	89	89	78	95	88	88	69	78	78	76	55	40	78		0	31	2	7,000,000$
7	Dominik Kubalik	0		X			100.00	81	39	83	92	68	89	85	76	66	80	90	72	84	78	77	55	40	78		0	29	4	4,500,000$
8	Nino Niederreiter	0			X		100.00	90	48	78	79	82	88	86	80	67	81	81	73	78	80	76	55	40	77		0	32	1	3,600,000$
9	Bryan Rust	0			X		100.00	79	46	76	79	62	85	84	83	62	79	86	71	83	81	71	55	40	75		0	33	3	4,000,000$
10	Conor Garland	0		X			100.00	64	36	85	93	55	82	76	71	73	70	87	72	77	78	72	55	40	73		0	29	4	1,670,000$
11	Curtis Lazar	0	X				100.00	91	51	76	74	74	83	80	74	82	78	72	68	73	79	84	55	40	73		0	30	3	3,000,000$
12	Adam Beckman (R)	0		X			100.00	59	40	57	75	65	66	74	55	50	62	59	71	61	70	58	55	40	63		0	24	3	900,000$
13	Matt Dumba	0				X	100.00	93	47	82	90	75	99	99	80	52	90	74	82	75	79	76	55	40	81		0	30	3	3,250,000$
14	Zach Werenski	0				X	100.00	58	51	92	90	90	96	99	80	50	89	72	80	72	74	83	55	40	79		0	27	2	3,000,000$
15	Hampus Lindholm	0				X	100.00	60	50	92	83	89	94	95	78	50	82	69	80	69	80	84	55	40	78	N	0	31	2	3,500,000$
16	J.J. Moser	0				X	100.00	63	45	89	94	78	85	93	80	50	90	70	80	74	76	78	55	40	78		0	25	4	3,000,000$
17	Riley Stillman	0				X	100.00	89	52	87	83	87	87	87	74	50	87	66	80	67	74	80	55	40	78		0	27	2	1,450,000$
18	John Carlson	0				X	100.00	59	47	88	68	87	90	90	68	50	71	62	75	60	82	80	55	40	72		0	35	1	3,067,000$
Scratches
1	Jonathan Drouin	0		X			92.22	59	50	87	84	70	83	85	78	72	80	83	70	76	79	68	55	40	75		0	30	3	1,670,000$
Farm Team
1	Chris Wagner	0		X			100.00	94	45	64	75	66	81	76	74	69	75	77	62	77	82	75	55	40	71		0	34	1	500,000$
2	Will Cuylle (R)	0		X			100.00	99	52	79	72	80	83	83	68	59	75	72	69	69	68	68	55	40	71		0	23	3	800,000$
3	Mark Arcobello	0	X				100.00	84	36	82	86	49	81	81	74	84	78	70	60	85	76	55	40	40	70		0	36	2	1,500,000$
4	Lars Eller	0	X				100.00	78	47	69	67	77	80	79	71	78	71	73	64	70	85	74	55	40	70		0	36	2	1,500,000$
5	Eric Robinson	0		X			100.00	81	50	79	70	77	78	79	61	66	64	66	70	65	79	73	55	40	68		0	30	3	600,000$
6	Frank Nazar (R)	0	X				100.00	54	35	80	91	53	81	81	60	78	73	68	59	71	63	73	55	40	68		0	21	3	1,750,000$
7	Mackenzie MacEachern	0			X		100.00	85	46	68	72	75	77	76	64	63	67	66	71	66	79	70	55	40	68		0	31	2	665,000$
8	Sean Kuraly	0	X				100.00	85	51	66	64	77	79	86	66	81	71	66	66	65	80	73	55	40	68		0	32	1	625,000$
9	Brett Leason	0			X		100.00	72	49	79	63	92	78	79	63	66	64	64	71	62	75	82	55	40	67		0	26	2	1,000,000$
10	Brock McGinn	0		X			100.00	79	40	79	73	52	75	75	64	67	67	67	70	67	80	78	55	40	67		0	31	2	665,000$
11	Jakob Pelletier (R)	0		X			100.00	57	35	80	87	50	75	75	63	64	69	65	68	70	70	80	55	40	67		0	24	3	1,000,000$
12	Sam Colangelo (R)	0			X		100.00	63	45	83	72	77	75	68	63	57	62	77	63	69	68	78	55	40	67		0	23	3	900,000$
13	Xavier Ouellet	0				X	100.00	77	46	73	73	85	81	83	70	50	73	64	75	62	80	70	55	40	73		0	31	3	750,000$
14	Olen Zellweger (R)	0				X	100.00	55	35	83	94	58	81	81	67	50	76	68	72	69	63	73	55	40	71		0	21	3	1,000,000$
15	Dan Renouf	0				X	100.00	81	75	76	69	87	73	72	65	50	63	62	68	60	78	69	55	40	69		0	31	2	600,000$
16	Calle Rosen	0				X	100.00	51	40	79	79	75	71	75	64	50	67	59	69	61	80	72	55	40	68		0	31	1	600,000$
17	Jaycob Megna	0				X	100.00	58	54	69	62	99	74	74	64	50	67	62	69	57	80	81	55	40	68		0	32	1	600,000$
18	Mikko Lehtonen	0				X	100.00	65	44	83	72	76	69	71	61	50	65	59	66	58	77	73	55	40	66		0	31	2	600,000$
19	Vasily Podkolzin (R)	0			X		100.00	95	47	72	76	73	81	74	61	56	70	64	67	66	70	70	55	40	68		0	24	3	1,500,000$
20	Chris Kreider	0	X				100.00	86	53	71	54	84	77	77	61	71	65	65	66	60	82	82	55	40	66		0	34	1	600,000$
21	Matthew Peca	0	X				100.00	59	40	79	78	50	76	76	64	79	69	66	64	68	80	63	55	40	66		0	32	1	600,000$
22	Filip Zadina	0			X		100.00	58	42	79	73	75	80	81	64	55	65	66	57	67	73	65	55	40	65		0	25	2	1,750,000$
23	Jon Merrill	0				X	100.00	56	48	72	67	84	78	79	68	50	70	62	70	60	81	72	55	40	68		0	33	1	600,000$
24	Nick Seeler	0				X	100.00	55	52	65	71	65	71	75	62	50	64	61	70	58	79	69	55	40	66		0	32	1	625,000$
25	Tim Heed	0				X	100.00	52	40	77	81	49	72	72	62	50	61	61	75	61	80	66	55	40	66		0	34	2	750,000$

	TEAM AVERAGE						99.82	72	46	79	79	73	82	82	70	64	74	72	70	70	77	74	55	40	72

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	TA	SP	Age	Contract	Salary
1	Mackenzie Blackwood	0	97.00	71	88	90	88	91	92	93	93	93	92	92	77	68	55	40	85	N	0	28	1	2,760,000$
2	Semyon Varlamov	0	100.00	70	77	82	82	79	83	83	81	81	83	81	87	73	55	40	78		0	37	2	2,750,000$
Scratches
Farm Team
1	Collin Delia	0	100.00	77	71	71	82	79	79	80	80	79	79	80	77	65	55	40	76		0	31	2	1,071,427$
2	Matt O'Connor	0	97.00	74	65	65	90	76	79	80	78	78	79	78	81	66	55	40	75		0	33	1	600,000$
3	Roman Will	0	100.00	77	57	57	80	77	77	78	77	77	77	73	80	65	55	40	73		0	33	2	750,000$
4	Jeremy Smith	0	100.00	78	63	64	78	75	74	75	75	76	74	72	64	65	55	40	71		0	36	1	500,000$

	TEAM AVERAGE		99.00	75	70	72	83	80	81	82	81	81	81	79	78	67	55	40	76

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
1	Sean Monahan	Columbus Blue Jackets	C	53	24	31	55	9	13	5	61	88	173	54	117	13.87%	23	1048	19.79	6	16	22	30	200	0	1	1	2	57	6	2	56.53%	1065	34	18	1	1	1.05	1	5	1	0	0	4	4	1
2	Carter Verhaeghe	Columbus Blue Jackets	LW	53	18	25	43	5	26	0	76	67	172	51	82	10.47%	20	1008	19.04	11	10	21	39	200	0	1	1	0	25	1	1	38.71%	62	47	18	2	2	0.85	1	5	0	0	0	4	2	1
3	Vincent Trocheck	Columbus Blue Jackets	C	53	20	18	38	8	10	0	89	111	170	49	112	11.76%	21	925	17.46	0	0	0	0	1	0	0	0	3	135	6	0	56.98%	946	49	21	0	0	0.82	3	5	0	0	0	3	6	1
4	Dominik Kubalik	Columbus Blue Jackets	LW	53	19	18	37	5	43	5	123	52	145	32	100	13.10%	23	969	18.30	6	4	10	16	156	1	0	1	2	46	6	1	44.74%	76	29	13	0	1	0.76	0	1	0	1	0	3	1	6
5	Chris Tierney	Columbus Blue Jackets	C	53	13	23	36	6	13	5	48	76	156	36	83	8.33%	28	929	17.54	2	6	8	13	155	0	0	0	0	15	4	0	53.48%	761	22	12	0	0	0.77	0	0	0	0	1	2	1	3
6	Anthony Beauvillier	Columbus Blue Jackets	RW	53	15	15	30	0	44	10	123	63	114	27	66	13.16%	22	967	18.26	8	8	16	28	197	0	0	0	0	0	0	0	45.95%	74	27	12	0	0	0.62	0	0	1	0	1	1	1	3
7	Matt Dumba	Columbus Blue Jackets	D	53	4	22	26	5	29	5	141	91	64	32	39	6.25%	60	1394	26.31	1	8	9	9	215	1	0	1	5	128	0	2	0%	0	27	41	0	0	0.37	0	0	0	0	1	0	1	6
8	Valeri Nichushkin	Columbus Blue Jackets	RW	53	12	12	24	7	15	5	93	67	137	40	91	8.76%	17	1000	18.87	3	3	6	10	154	0	0	0	1	80	3	1	40.54%	37	20	17	0	0	0.48	1	4	0	1	0	0	4	6
9	Zach Werenski	Columbus Blue Jackets	D	53	4	16	20	1	10	10	24	78	69	24	20	5.80%	63	1337	25.23	2	7	9	14	216	0	0	0	5	85	1	0	0%	0	37	41	0	0	0.30	0	0	0	1	1	0	1	2
10	Conor Garland	Columbus Blue Jackets	LW	53	8	10	18	5	18	0	36	56	100	25	57	8.00%	11	766	14.47	0	0	0	0	3	0	0	0	2	7	3	0	46.15%	39	22	5	0	0	0.47	0	0	0	0	0	1	4	1
11	Riley Stillman	Columbus Blue Jackets	D	53	0	15	15	11	37	15	102	82	40	17	17	0%	68	1122	21.19	0	1	1	0	78	0	0	0	1	90	0	0	0%	0	8	42	0	0	0.27	0	0	1	0	2	1	1	1
12	Bryan Rust	Columbus Blue Jackets	RW	53	7	7	14	6	35	15	58	36	72	23	47	9.72%	6	460	8.68	0	0	0	0	6	0	0	0	0	0	1	1	35.71%	14	10	9	0	0	0.61	0	0	1	2	0	1	0	0
13	J.J. Moser	Columbus Blue Jackets	D	50	0	14	14	10	6	0	22	85	67	30	25	0%	74	1051	21.02	0	1	1	8	134	0	0	0	0	18	0	0	0%	0	23	32	0	0	0.27	0	0	0	0	0	0	0	0
14	Nino Niederreiter	Columbus Blue Jackets	RW	53	3	10	13	3	26	0	99	55	90	35	67	3.33%	12	708	13.37	0	0	0	0	0	0	1	1	9	97	3	0	37.14%	35	20	14	0	0	0.37	0	0	0	0	0	0	2	0
15	Jonathan Drouin	Columbus Blue Jackets	LW	49	2	5	7	3	4	0	11	20	41	13	25	4.88%	6	288	5.90	0	0	0	0	0	0	0	0	0	0	0	0	33.33%	9	5	5	0	0	0.48	0	0	0	0	0	1	0	0
16	John Carlson	Columbus Blue Jackets	D	53	0	6	6	6	8	0	14	29	12	9	3	0%	26	600	11.33	0	0	0	0	4	0	1	1	0	9	0	0	0%	0	1	15	0	0	0.20	0	0	0	0	0	0	0	0
17	Hampus Lindholm	Columbus Blue Jackets	D	53	0	5	5	5	28	10	23	65	23	15	11	0%	34	860	16.23	0	0	0	2	71	0	0	0	0	148	0	0	0%	0	9	33	0	0	0.12	0	0	1	1	0	0	0	0
18	Curtis Lazar	Columbus Blue Jackets	C	42	1	0	1	2	19	5	43	21	11	5	7	9.09%	7	267	6.37	0	0	0	0	3	0	0	0	0	1	0	0	43.37%	83	3	0	0	0	0.07	0	0	0	0	1	0	0	0
19	Adam Beckman	Columbus Blue Jackets	LW	13	0	0	0	0	0	0	1	2	0	0	0	0%	0	26	2.00	0	0	0	0	1	0	0	0	0	11	0	0	0%	0	0	2	0	0	0	0	0	0	0	0	0	0	0
20	Tim Heed	Cleveland Monsters (CBJ)	D	5	0	0	0	1	0	0	2	2	1	0	1	0%	2	39	7.88	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
Team Total or Average				954	150	252	402	98	384	90	1189	1146	1657	517	970	9.05%	523	15775	16.54	39	64	103	169	1802	2	4	6	30	962	34	8	54.05%	3201	393	350	3	4	0.51	6	20	5	6	7	21	28	31

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
1	Mackenzie Blackwood	Columbus Blue Jackets	46	32	10	4	0.932	1.94	2755	2	4	89	1313	552	1	4	0.625	16	46	6	9	6	5
2	Semyon Varlamov	Columbus Blue Jackets	8	4	2	1	0.926	2.09	459	0	0	16	216	98	1	0	0.250	4	7	46	3	0	0
Team Total or Average			54	36	12	5	0.931	1.96	3214	2	4	105	1529	650	2	4		20	53	52	12	6	5

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 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	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
Adam Beckman	Columbus Blue Jackets	LW	24	2001-05-10	CAN	Yes	183 Lbs	6 ft2	No	No	Free Agent		No	No	3	2025-10-26	False	False	Pro & Farm	900,000$	272,872$	0$	0$	No	900,000$	900,000$	-	-	-	-	-	-	-	900,000$	900,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Anthony Beauvillier (1 Way Contract)	Columbus Blue Jackets	RW	28	1997-06-08	CAN	No	181 Lbs	5 ft11	No	No	Assign Manually		No	No	1	2025-09-30	False	False	Pro & Farm	5,166,667$	1,566,489$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Bryan Rust (1 Way Contract)	Columbus Blue Jackets	RW	33	1992-05-11	USA	No	192 Lbs	5 ft11	No	No	Free Agent		No	No	3	2025-10-07	False	False	Pro & Farm	4,000,000$	1,212,766$	0$	0$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	4,000,000$	4,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Carter Verhaeghe (1 Way Contract)	Columbus Blue Jackets	LW	29	1995-08-14	CAN	No	181 Lbs	6 ft2	No	No	Free Agent		No	No	4	2025-10-10	False	False	Pro & Farm	4,500,000$	1,364,362$	0$	0$	No	4,500,000$	4,500,000$	4,500,000$	-	-	-	-	-	-	4,500,000$	4,500,000$	4,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Chris Tierney (1 Way Contract)	Columbus Blue Jackets	C	31	1994-07-01	CAN	No	191 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2025-09-30	False	False	Pro & Farm	7,000,000$	2,122,340$	0$	0$	No	7,000,000$	-	-	-	-	-	-	-	-	7,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Conor Garland	Columbus Blue Jackets	LW	29	1996-03-11	USA	No	181 Lbs	5 ft8	No	No	Free Agent	2025-10-03	No	No	4	2025-10-17	False	False	Pro & Farm	1,670,000$	506,330$	0$	0$	No	1,670,000$	1,670,000$	1,670,000$	-	-	-	-	-	-	1,670,000$	1,670,000$	1,670,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Curtis Lazar (1 Way Contract)	Columbus Blue Jackets	C	30	1995-02-02	CAN	No	203 Lbs	6 ft0	No	No	Free Agent		No	No	3	2025-10-10	False	False	Pro & Farm	3,000,000$	909,574$	0$	0$	No	3,000,000$	3,000,000$	-	-	-	-	-	-	-	3,000,000$	3,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Dominik Kubalik (1 Way Contract)	Columbus Blue Jackets	LW	29	1995-08-21	CZE	No	190 Lbs	6 ft2	No	No	Free Agent		No	No	4	2025-10-10	False	False	Pro & Farm	4,500,000$	1,364,362$	0$	0$	No	4,500,000$	4,500,000$	4,500,000$	-	-	-	-	-	-	4,500,000$	4,500,000$	4,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Hampus Lindholm (1 Way Contract)	Columbus Blue Jackets	D	31	1994-01-20	SWE	No	216 Lbs	6 ft2	Yes	No	Assign Manually		No	No	2	2025-09-30	False	False	Pro Only	3,500,000$	1,061,170$	0$	0$	No	3,500,000$	-	-	-	-	-	-	-	-	3,500,000$	-	-	-	-	-	-	-	-	Yes	-	-	-	-	-	-	-	-	Link
J.J. Moser (1 Way Contract)	Columbus Blue Jackets	D	25	2000-06-06	CHE	No	187 Lbs	6 ft1	No	No	Free Agent		No	No	4	2025-10-10	False	False	Pro & Farm	3,000,000$	909,574$	0$	0$	No	3,000,000$	3,000,000$	3,000,000$	-	-	-	-	-	-	3,000,000$	3,000,000$	3,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
John Carlson (1 Way Contract)	Columbus Blue Jackets	D	35	1990-01-10	USA	No	216 Lbs	6 ft3	No	No	Assign Manually		No	No	1	2025-09-30	False	False	Pro & Farm	3,067,000$	929,888$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Jonathan Drouin	Columbus Blue Jackets	LW	30	1995-03-28	CAN	No	203 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2025-09-30	False	False	Pro & Farm	1,670,000$	506,330$	0$	0$	No	1,670,000$	1,670,000$	-	-	-	-	-	-	-	1,670,000$	1,670,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Mackenzie Blackwood (1 Way Contract)	Columbus Blue Jackets	G	28	1996-12-09	CAN	No	225 Lbs	6 ft4	Yes	No	Assign Manually		No	No	1	2025-09-30	False	False	Pro Only	2,760,000$	836,809$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Matt Dumba (1 Way Contract)	Columbus Blue Jackets	D	30	1994-07-25	CAN	No	181 Lbs	6 ft0	No	No	Assign Manually		No	No	3	2025-09-30	False	False	Pro & Farm	3,250,000$	985,372$	0$	0$	No	3,250,000$	3,250,000$	-	-	-	-	-	-	-	3,250,000$	3,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Nino Niederreiter (1 Way Contract)	Columbus Blue Jackets	RW	32	1992-09-08	SUI	No	218 Lbs	6 ft2	No	No	Assign Manually		No	No	1	2025-09-30	False	False	Pro & Farm	3,600,000$	1,091,489$	0$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Riley Stillman	Columbus Blue Jackets	D	27	1998-03-09	CAN	No	196 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2025-09-30	False	False	Pro & Farm	1,450,000$	439,628$	0$	0$	No	1,450,000$	-	-	-	-	-	-	-	-	1,450,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Sean Monahan (1 Way Contract)	Columbus Blue Jackets	C	30	1994-10-12	CAN	No	201 Lbs	6 ft1	No	No	Assign Manually		No	No	2	2025-09-30	False	False	Pro & Farm	5,550,000$	1,682,713$	0$	0$	No	5,550,000$	-	-	-	-	-	-	-	-	5,550,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Semyon Varlamov (1 Way Contract)	Columbus Blue Jackets	G	37	1988-04-27	RUS	No	209 Lbs	6 ft2	No	No	Free Agent		No	No	2	2025-10-10	False	False	Pro & Farm	2,750,000$	833,777$	0$	0$	No	2,750,000$	-	-	-	-	-	-	-	-	2,750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Valeri Nichushkin (1 Way Contract)	Columbus Blue Jackets	RW	30	1995-03-04	RUS	No	209 Lbs	6 ft4	No	No	Assign Manually		No	No	3	2025-09-30	False	False	Pro & Farm	4,200,000$	1,273,404$	0$	0$	No	4,200,000$	4,200,000$	-	-	-	-	-	-	-	4,200,000$	4,200,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Vincent Trocheck (1 Way Contract)	Columbus Blue Jackets	C	31	1993-07-11	USA	No	183 Lbs	5 ft11	No	No	Assign Manually		No	No	2	2025-09-30	False	False	Pro & Farm	4,000,000$	1,212,766$	0$	0$	No	4,000,000$	-	-	-	-	-	-	-	-	4,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link
Zach Werenski (1 Way Contract)	Columbus Blue Jackets	D	27	1997-07-19	USA	No	214 Lbs	6 ft2	No	No	Assign Manually		No	No	2	2025-09-30	False	False	Pro & Farm	3,000,000$	909,574$	0$	0$	No	3,000,000$	-	-	-	-	-	-	-	-	3,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	29.81	198 Lbs	6 ft1	2.48	3,453,984$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
72,533,667$	57,940,000$	30,690,000$	13,670,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Carter Verhaeghe	Sean Monahan	Anthony Beauvillier	34	0	2	3
2	Dominik Kubalik	Chris Tierney	Valeri Nichushkin	33	0	2	3
3	Conor Garland	Vincent Trocheck	Nino Niederreiter	33	0	2	3
4	Conor Garland	Curtis Lazar	Bryan Rust	0	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Dumba	Zach Werenski	40	0	2	3
2	Riley Stillman	J.J. Moser	40	0	3	2
3	Hampus Lindholm	John Carlson	20	0	3	2
4	Matt Dumba	Zach Werenski	0	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Carter Verhaeghe	Sean Monahan	Anthony Beauvillier	60	0	0	5
2	Dominik Kubalik	Chris Tierney	Valeri Nichushkin	40	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Dumba	Zach Werenski	60	0	0	5
2	J.J. Moser	Riley Stillman	40	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vincent Trocheck	Nino Niederreiter	60	0	5	0
2	Sean Monahan	Valeri Nichushkin	40	0	5	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Hampus Lindholm	Matt Dumba	60	0	5	0
2	Riley Stillman	Zach Werenski	40	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Vincent Trocheck	60	0	5	0	Matt Dumba	Hampus Lindholm	60	0	5	0
2	Sean Monahan	40	0	5	0	Zach Werenski	Riley Stillman	40	0	5	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Sean Monahan	Dominik Kubalik	60	0	2	3
2	Chris Tierney	Anthony Beauvillier	40	0	2	3

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Dumba	Zach Werenski	60	0	2	3
2	J.J. Moser	Riley Stillman	40	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Carter Verhaeghe	Sean Monahan	Valeri Nichushkin	Matt Dumba	Zach Werenski

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Carter Verhaeghe	Sean Monahan	Valeri Nichushkin	Matt Dumba	Zach Werenski

Extra Forwards
Normal	PowerPlay	Penalty Kill
Dominik Kubalik, Anthony Beauvillier, Carter Verhaeghe	Dominik Kubalik, Carter Verhaeghe	Dominik Kubalik

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Matt Dumba, Zach Werenski, J.J. Moser	Matt Dumba	Riley Stillman, Hampus Lindholm

Penalty Shots
Sean Monahan, Vincent Trocheck, Carter Verhaeghe, Valeri Nichushkin, Dominik Kubalik

Goalie
#1 : Mackenzie Blackwood, #2 : Semyon Varlamov

Custom OT Lines Forwards
Sean Monahan, Vincent Trocheck, Valeri Nichushkin, Carter Verhaeghe, Chris Tierney, Anthony Beauvillier, Dominik Kubalik, Conor Garland, Bryan Rust, Nino Niederreiter

Custom OT Lines Defensemen
Matt Dumba, Zach Werenski, Hampus Lindholm, J.J. Moser, Riley Stillman

Show or Hide Columns

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim Mighty Ducks	3	1	0	0	1	0	0	1	9	8	1	1	1	0	0	0	0	0	0	4	3	1	2	0	0	0	1	0	0	1	5	5	0	6	0.667	9	15	24	0	0	2	3	3	1	81	13	33	34	5	97	28	35	79	17	2	11.76%	15	3	80.00%	1	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	68	37	64	30	57	29
2	Boston Bruins	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	2	1	1	2	0.667	2	2	4	0	0	1	0	0	1	39	13	10	15	1	30	9	2	12	5	1	20.00%	1	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	24	14	19	7	16	9
3	California Golden Seals	3	2	0	0	1	0	0	0	10	4	6	1	1	0	0	0	0	0	0	2	1	1	2	1	0	0	1	0	0	0	8	3	5	8	0.889	10	17	27	0	1	4	1	4	1	98	33	18	45	2	87	30	24	61	5	1	20.00%	7	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	70	43	62	26	51	24
4	Carolina Hurricanes	1	1	0	0	0	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	2	1	1	3	1.000	2	3	5	0	0	1	0	1	0	29	11	5	13	0	29	10	2	23	3	0	0.00%	1	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	24	15	18	8	17	9
5	Chicago Blackhawks	2	0	1	0	0	0	1	0	6	7	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	0	0	1	0	4	3	1	2	0.333	6	10	16	1	0	1	1	3	1	72	25	27	20	4	52	20	12	48	6	1	16.67%	6	1	83.33%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	48	28	41	17	35	18
6	Colorado Avalanche	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	1	3	6	1.000	7	10	17	0	0	4	0	3	0	61	26	21	14	0	60	24	6	32	9	0	0.00%	3	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	42	24	42	18	34	18
7	Detroit Red Wings	2	0	1	0	1	0	0	0	5	6	-1	1	0	0	0	1	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.333	5	10	15	0	0	1	2	1	1	53	24	10	18	1	64	15	6	36	8	1	12.50%	3	1	66.67%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	43	26	42	17	33	16
8	Edmonton Oilers	2	1	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	2	1	1	3	0.500	3	4	7	0	0	0	2	1	0	65	14	30	21	0	53	16	20	57	4	1	25.00%	5	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	42	24	44	18	32	16
9	Florida Panthers	2	1	0	0	1	0	0	0	8	1	7	1	1	0	0	0	0	0	0	6	0	6	1	0	0	0	1	0	0	0	2	1	1	5	0.833	8	13	21	0	1	4	2	1	1	65	29	17	18	1	53	17	17	33	6	1	16.67%	6	1	83.33%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	47	30	40	17	32	15
10	Hamilton Mustangs	2	0	1	0	0	1	0	0	3	5	-2	1	0	1	0	0	0	0	0	1	2	-1	1	0	0	0	0	1	0	0	2	3	-1	1	0.167	3	6	9	0	0	1	1	1	0	77	24	27	24	2	61	14	8	51	6	1	16.67%	4	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	47	30	41	16	31	16
11	Los Angeles Kings	3	2	1	0	0	0	0	0	6	4	2	2	2	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	2	3	-1	6	0.667	6	10	16	0	1	2	2	2	0	94	34	19	41	0	80	25	28	58	7	1	14.29%	14	1	92.86%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	63	36	65	28	50	24
12	Montreal Canadiens	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	3	1.000	3	5	8	0	0	0	2	1	0	25	3	11	11	0	32	20	6	26	4	1	25.00%	3	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	20	11	21	9	18	9
13	New Jersey Devils	2	2	0	0	0	0	0	0	6	2	4	1	1	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	0	5	2	3	6	1.000	6	11	17	0	1	1	3	2	0	60	15	19	26	0	54	22	6	42	13	3	23.08%	3	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	42	23	42	18	35	18
14	New York Islanders	2	0	1	0	1	0	0	0	4	8	-4	1	0	0	0	1	0	0	0	3	2	1	1	0	1	0	0	0	0	0	1	6	-5	2	0.333	4	6	10	0	0	2	0	1	1	58	19	21	17	1	69	30	26	41	13	1	7.69%	3	1	66.67%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	45	26	41	16	34	18
15	New York Rangers	2	0	0	0	0	1	0	1	4	6	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	0	1	0	0	2	3	-1	2	0.333	4	7	11	0	0	3	1	0	2	59	26	18	12	7	58	20	14	48	5	2	40.00%	7	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	43	24	45	18	36	17
16	Ottawa Senators	1	0	0	0	1	0	0	0	5	4	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	5	4	1	2	0.667	5	8	13	0	0	0	1	3	1	23	5	5	12	1	25	8	4	21	4	2	50.00%	2	1	50.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	20	11	19	8	19	9
17	Philadelphia Flyers	1	1	0	0	0	0	0	0	3	1	2	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	1	2	3	1.000	3	4	7	0	0	0	0	3	0	32	6	8	18	0	31	13	6	28	4	1	25.00%	3	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	21	12	22	9	16	8
18	Pittsburgh Penguins	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	4	2	2	6	1.000	6	12	18	0	0	2	2	2	0	58	16	24	18	0	72	19	4	31	8	1	12.50%	2	1	50.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	42	25	46	15	30	16
19	Quebec Nordiques	2	2	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	3	2	1	6	1.000	6	9	15	0	0	2	1	3	0	57	24	20	13	0	70	12	25	48	4	1	25.00%	5	1	80.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	45	27	41	17	33	16
20	San Jose Sharks	3	1	1	0	0	0	0	1	7	7	0	1	1	0	0	0	0	0	0	4	1	3	2	0	1	0	0	0	0	1	3	6	-3	4	0.444	7	12	19	0	0	0	1	6	1	100	36	26	38	5	71	37	12	72	20	2	10.00%	6	4	33.33%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	77	47	53	26	53	29
21	Seattle Kraken	3	2	0	0	0	0	1	0	9	5	4	2	1	0	0	0	0	1	0	5	3	2	1	1	0	0	0	0	0	0	4	2	2	8	0.889	9	15	24	0	0	4	2	2	2	99	41	37	16	8	84	35	35	77	9	2	22.22%	15	1	93.33%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	70	41	63	27	51	25
22	St Louis Blues	2	0	2	0	0	0	0	0	5	9	-4	1	0	1	0	0	0	0	0	3	5	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	9	14	2	0	1	2	2	0	68	28	19	21	0	64	17	25	52	5	0	0.00%	5	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	45	28	40	16	33	17
23	Tampa Bay Lightning	1	0	1	0	0	0	0	0	4	6	-2	1	0	1	0	0	0	0	0	4	6	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	4	5	9	1	0	1	1	2	0	28	8	11	9	0	33	13	4	21	4	2	50.00%	2	2	0.00%	1	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	22	13	19	8	17	9
24	Toronto Maple Leafs	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	3	5	0	0	0	0	2	0	26	9	3	14	0	26	13	2	17	3	1	33.33%	1	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	22	13	19	8	18	9
25	Vancouver Canucks	3	2	1	0	0	0	0	0	10	6	4	2	2	0	0	0	0	0	0	8	3	5	1	0	1	0	0	0	0	0	2	3	-1	6	0.667	10	16	26	0	0	5	2	3	0	101	35	35	31	0	71	19	15	88	28	8	28.57%	5	2	60.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	76	45	53	25	50	28
26	Vegas Golden Knights	2	2	0	0	0	0	0	0	10	2	8	1	1	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	5	1	4	6	1.000	10	16	26	0	0	5	3	2	0	60	28	15	17	0	49	17	30	42	6	1	16.67%	5	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	47	30	37	17	34	17
27	Winnipeg Jets	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	1	3	6	1.000	7	14	21	0	0	4	2	1	0	69	27	20	22	0	58	20	12	45	9	1	11.11%	6	0	100.00%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	46	27	40	17	33	17
	Total	53	27	12	0	7	2	2	3	152	112	40	26	16	6	0	2	0	1	1	75	50	25	27	11	6	0	5	2	1	2	77	62	15	104	0.654	152	252	404	4	4	51	37	55	13	1657	572	509	558	38	1533	523	386	1189	215	39	18.14%	138	20	85.51%	2	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	1216	724	1091	469	911	469
	_Since Last GM Reset	53	27	12	0	7	2	2	3	152	112	40	26	16	6	0	2	0	1	1	75	50	25	27	11	6	0	5	2	1	2	77	62	15	104	0.654	152	252	404	4	4	51	37	55	13	1657	572	509	558	38	1533	523	386	1189	215	39	18.14%	138	20	85.51%	2	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	1216	724	1091	469	911	469
	_Vs Conference	32	17	8	0	3	0	2	2	94	66	28	16	11	3	0	1	0	1	0	48	30	18	16	6	5	0	2	0	1	2	46	36	10	63	0.656	94	158	252	3	2	33	23	33	7	1021	364	310	338	25	890	303	260	747	133	21	15.79%	95	13	86.32%	1	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	745	443	651	287	552	282
	_Vs Division	12	5	5	0	1	0	1	0	33	30	3	6	2	3	0	1	0	0	0	16	17	-1	6	3	2	0	0	0	1	0	17	13	4	19	0.528	33	57	90	3	0	11	9	11	2	388	144	127	116	5	351	112	81	270	41	4	9.76%	28	2	92.86%	0	684	1264	54.11%	660	1220	54.10%	386	691	55.86%	269	160	252	105	203	105

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
53	104	W1	152	252	404	1657	1533	523	386	1189	4	4

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
53	27	12	7	2	2	3	152	112

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
26	16	6	2	0	1	1	75	50

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
27	11	6	5	2	1	2	77	62

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
215	39	18.14%	138	20	85.51%	2

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
572	509	558	38	51	37	55	13

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
684	1264	54.11%	660	1220	54.10%	386	691	55.86%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1216	724	1091	469	911	469

Last Played Games Show or Hide Columns

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2	9	Winnipeg Jets	1	Columbus Blue Jackets	3	W			Box score
4	22	Columbus Blue Jackets	4	Colorado Avalanche	1	W			Box score
6	40	St Louis Blues	5	Columbus Blue Jackets	3	L			Box score
8	52	Columbus Blue Jackets	4	Chicago Blackhawks	3	W	X	X	Box score
10	66	Columbus Blue Jackets	1	Detroit Red Wings	3	L			Box score
12	80	Columbus Blue Jackets	2	Edmonton Oilers	1	W			Box score
14	98	Vegas Golden Knights	1	Columbus Blue Jackets	5	W			Box score
16	112	Columbus Blue Jackets	5	Ottawa Senators	4	W	X		Box score
17	119	Quebec Nordiques	1	Columbus Blue Jackets	3	W			Box score
20	139	Columbus Blue Jackets	2	Hamilton Mustangs	3	L	X		Box score
24	151	Columbus Blue Jackets	4	Seattle Kraken	2	W			Box score
26	162	Anaheim Mighty Ducks	3	Columbus Blue Jackets	4	W			Box score
30	182	Columbus Blue Jackets	2	Vancouver Canucks	3	L			Box score
33	196	Columbus Blue Jackets	1	San Jose Sharks	2	L	X	X	Box score
36	210	Columbus Blue Jackets	4	California Golden Seals	0	W			Box score
38	219	Los Angeles Kings	1	Columbus Blue Jackets	2	W			Box score
41	233	Columbus Blue Jackets	2	Los Angeles Kings	3	L			Box score
45	250	California Golden Seals	1	Columbus Blue Jackets	2	W			Box score
48	263	San Jose Sharks	1	Columbus Blue Jackets	4	W			Box score
51	277	Vancouver Canucks	1	Columbus Blue Jackets	2	W			Box score
54	290	Columbus Blue Jackets	1	Anaheim Mighty Ducks	2	L	X	X	Box score
57	305	Seattle Kraken	1	Columbus Blue Jackets	2	W			Box score
60	320	Pittsburgh Penguins	1	Columbus Blue Jackets	2	W			Box score
62	330	Columbus Blue Jackets	5	New Jersey Devils	2	W			Box score
63	340	New York Rangers	3	Columbus Blue Jackets	2	L	X	X	Box score
65	354	Columbus Blue Jackets	2	Boston Bruins	1	W	X		Box score
68	376	Edmonton Oilers	3	Columbus Blue Jackets	1	L			Box score
70	390	Detroit Red Wings	3	Columbus Blue Jackets	4	W	X		Box score
72	404	Chicago Blackhawks	4	Columbus Blue Jackets	2	L			Box score
74	418	Columbus Blue Jackets	2	St Louis Blues	4	L			Box score
77	429	Toronto Maple Leafs	4	Columbus Blue Jackets	2	L			Box score
79	446	Montreal Canadiens	1	Columbus Blue Jackets	3	W			Box score
81	457	Columbus Blue Jackets	3	Philadelphia Flyers	1	W			Box score
84	472	Columbus Blue Jackets	2	San Jose Sharks	4	L			Box score
86	485	Columbus Blue Jackets	4	California Golden Seals	3	W	X		Box score
89	500	Los Angeles Kings	0	Columbus Blue Jackets	2	W			Box score
91	508	Florida Panthers	0	Columbus Blue Jackets	6	W			Box score
94	529	Columbus Blue Jackets	2	Florida Panthers	1	W	X		Box score
96	540	Columbus Blue Jackets	1	New York Islanders	6	L			Box score
97	547	New York Islanders	2	Columbus Blue Jackets	3	W	X		Box score
99	566	Tampa Bay Lightning	6	Columbus Blue Jackets	4	L			Box score
101	576	Columbus Blue Jackets	2	Carolina Hurricanes	1	W			Box score
103	591	Colorado Avalanche	1	Columbus Blue Jackets	3	W			Box score
106	607	Columbus Blue Jackets	4	Winnipeg Jets	1	W			Box score
110	626	Columbus Blue Jackets	5	Vegas Golden Knights	1	W			Box score
114	644	Seattle Kraken	2	Columbus Blue Jackets	3	W	X	X	Box score
117	657	Columbus Blue Jackets	4	Anaheim Mighty Ducks	3	W	X		Box score
119	665	Vancouver Canucks	2	Columbus Blue Jackets	6	W			Box score
121	676	Columbus Blue Jackets	2	New York Rangers	3	L	X		Box score
123	690	New Jersey Devils	0	Columbus Blue Jackets	1	W			Box score
125	707	Columbus Blue Jackets	4	Pittsburgh Penguins	2	W			Box score
127	719	Hamilton Mustangs	2	Columbus Blue Jackets	1	L			Box score
130	741	Columbus Blue Jackets	3	Quebec Nordiques	2	W			Box score
132	756	Ottawa Senators	-	Columbus Blue Jackets	-
135	766	Columbus Blue Jackets	-	Edmonton Oilers	-
137	780	Columbus Blue Jackets	-	Detroit Red Wings	-
139	794	Chicago Blackhawks	-	Columbus Blue Jackets	-
142	810	St Louis Blues	-	Columbus Blue Jackets	-
144	824	Boston Bruins	-	Columbus Blue Jackets	-
147	835	Columbus Blue Jackets	-	Toronto Maple Leafs	-
149	847	Columbus Blue Jackets	-	Montreal Canadiens	-
151	855	Philadelphia Flyers	-	Columbus Blue Jackets	-
153	872	Columbus Blue Jackets	-	Tampa Bay Lightning	-
156	887	Carolina Hurricanes	-	Columbus Blue Jackets	-
158	899	San Jose Sharks	-	Columbus Blue Jackets	-
160	912	California Golden Seals	-	Columbus Blue Jackets	-
162	927	Columbus Blue Jackets	-	Los Angeles Kings	-
164	941	Columbus Blue Jackets	-	Vancouver Canucks	-
166	955	Anaheim Mighty Ducks	-	Columbus Blue Jackets	-
168	970	Columbus Blue Jackets	-	Seattle Kraken	-
Trade Deadline --- Trades can’t be done after this day is simulated!
171	985	Edmonton Oilers	-	Columbus Blue Jackets	-
173	999	Detroit Red Wings	-	Columbus Blue Jackets	-
175	1013	Columbus Blue Jackets	-	Chicago Blackhawks	-
177	1027	Columbus Blue Jackets	-	St Louis Blues	-
180	1044	Colorado Avalanche	-	Columbus Blue Jackets	-
181	1058	Columbus Blue Jackets	-	Colorado Avalanche	-
183	1073	Winnipeg Jets	-	Columbus Blue Jackets	-
184	1087	Columbus Blue Jackets	-	Winnipeg Jets	-
186	1106	Vegas Golden Knights	-	Columbus Blue Jackets	-
187	1120	Columbus Blue Jackets	-	Vegas Golden Knights	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	5940	4860	1980	3960	1260
Ticket Price	91	47	29	21	183
Attendance	145,514	115,055	48,018	97,397	31,255
Attendance PCT	94.22%	91.05%	93.28%	94.60%	95.41%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
14	16817 - 93.43%	1,192,831$	31,013,605$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries	Special Salary Cap Value
51,338,849$	74,533,667$	0$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	51,338,849$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
16,699,633$	57	396,456$	22,597,992$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
23,295,387$	82,381,773$	76,594,422$

Depth Chart

Left Wing

Center

Right Wing

Carter Verhaeghe	AGE:29	PO:55	OV:79
Dominik Kubalik	AGE:29	PO:55	OV:78
Jonathan Drouin	AGE:30	PO:55	OV:75
Conor Garland	AGE:29	PO:55	OV:73
Chris Wagner	AGE:34	PO:55	OV:71
Will Cuylle (R)	AGE:23	PO:55	OV:71
Eric Robinson	AGE:30	PO:55	OV:68
Brock McGinn	AGE:31	PO:55	OV:67
Jakob Pelletier (R)	AGE:24	PO:55	OV:67
Adam Beckman (R)	AGE:24	PO:55	OV:63

Sean Monahan	AGE:30	PO:55	OV:83
Vincent Trocheck	AGE:31	PO:55	OV:80
Chris Tierney	AGE:31	PO:55	OV:78
Curtis Lazar	AGE:30	PO:55	OV:73
Lars Eller	AGE:36	PO:55	OV:70
Mark Arcobello	AGE:36	PO:40	OV:70
Frank Nazar (R)	AGE:21	PO:55	OV:68
Sean Kuraly	AGE:32	PO:55	OV:68
Chris Kreider	AGE:34	PO:55	OV:66
Matthew Peca	AGE:32	PO:55	OV:66

Valeri Nichushkin	AGE:30	PO:55	OV:79
Anthony Beauvillier	AGE:28	PO:55	OV:78
Nino Niederreiter	AGE:32	PO:55	OV:77
Bryan Rust	AGE:33	PO:55	OV:75
Mackenzie MacEachern	AGE:31	PO:55	OV:68
Vasily Podkolzin (R)	AGE:24	PO:55	OV:68
Brett Leason	AGE:26	PO:55	OV:67
Sam Colangelo (R)	AGE:23	PO:55	OV:67
Filip Zadina	AGE:25	PO:55	OV:65

Defense #1

Defense #2

Goalie

Matt Dumba	AGE:30	PO:55	OV:81
Zach Werenski	AGE:27	PO:55	OV:79
Hampus Lindholm	AGE:31	PO:55	OV:78
J.J. Moser	AGE:25	PO:55	OV:78
Riley Stillman	AGE:27	PO:55	OV:78
Xavier Ouellet	AGE:31	PO:55	OV:73
John Carlson	AGE:35	PO:55	OV:72
Olen Zellweger (R)	AGE:21	PO:55	OV:71

Dan Renouf	AGE:31	PO:55	OV:69
Calle Rosen	AGE:31	PO:55	OV:68
Jaycob Megna	AGE:32	PO:55	OV:68
Jon Merrill	AGE:33	PO:55	OV:68
Mikko Lehtonen	AGE:31	PO:55	OV:66
Nick Seeler	AGE:32	PO:55	OV:66
Tim Heed	AGE:34	PO:55	OV:66

Mackenzie Blackwood	AGE:28	PO:55	OV:85
Semyon Varlamov	AGE:37	PO:55	OV:78
Collin Delia	AGE:31	PO:55	OV:76
Matt O'Connor	AGE:33	PO:55	OV:75
Roman Will	AGE:33	PO:55	OV:73
Jeremy Smith	AGE:36	PO:55	OV:71

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	Link
0x LTCs	Columbus Blue Jackets	0	0
1 000 000 NSHL25 Waiver Bucks	Columbus Blue Jackets	0	0
1x NSHL26 ODW Claim	Columbus Blue Jackets	0	0
1x RFA Tag	Columbus Blue Jackets	0	0
20x TC PTS	Columbus Blue Jackets	0	0
Aidan Dudas	Columbus Blue Jackets	18	109	0	Link
Alex Cotton	Columbus Blue Jackets	20	130	0	Link
Alexander Campbell	Columbus Blue Jackets	19	76	0	Link
Alexander Khovanov	Columbus Blue Jackets	18	108	0	Link
Alexander Pashin	Columbus Blue Jackets	20	120	0	Link
Alexei Lipanov	Columbus Blue Jackets	17	104	0	Link
Blake McLaughlin	Columbus Blue Jackets	18	112	0	Link
Brodie Ziemer	Columbus Blue Jackets	24	70	0	Link
Bryce Brodzinski	Columbus Blue Jackets	19	130	0	Link
Bulat Shafigullin	Columbus Blue Jackets	18	115	0	Link
Cameron Allen	Columbus Blue Jackets	23	150	0	Link
Cayden Lindstrom	Columbus Blue Jackets	24	3	0	Link
Colby Ambrosio	Columbus Blue Jackets	20	136	0	Link
Connor McClennon	Columbus Blue Jackets	20	97	0	Link
David Jiricek	Columbus Blue Jackets	22	6	0	Link
Denver Barkey	Columbus Blue Jackets	23	91	0	Link
Emil Heineman	Columbus Blue Jackets	20	94	0	Link
Ethan Keppen	Columbus Blue Jackets	19	120	0	Link
Evan Barratt	Columbus Blue Jackets	17	111	0	Link
Filip Ekberg	Columbus Blue Jackets	25	90	0	Link
Francesco Pinelli	Columbus Blue Jackets	21	29	0	Link
Gracyn Sawchyn	Columbus Blue Jackets	23	78	0	Link
Guillaume Richard	Columbus Blue Jackets	21	147	0	Link
Harry Nansi	Columbus Blue Jackets	25	127	0	Link
Ian Moore	Columbus Blue Jackets	20	83	0	Link
Ilya Nikolaev	Columbus Blue Jackets	19	55	0	Link
Jack Thompson	Columbus Blue Jackets	20	133	0	Link
Jackson Hallum	Columbus Blue Jackets	20	117	0	Link
Jacob Perreault	Columbus Blue Jackets	20	25	0	Link
Joni Ikonen	Columbus Blue Jackets	17	82	0	Link
Jonny Tychonick	Columbus Blue Jackets	18	67	0	Link
Matej Pekar	Columbus Blue Jackets	18	116	0	Link
Matteo Costantini	Columbus Blue Jackets	20	102	0	Link
Michael Benning	Columbus Blue Jackets	20	40	0	Link
Michael Brandsegg-Nygard	Columbus Blue Jackets	24	16	0	Link
Michael Teply	Columbus Blue Jackets	19	85	0	Link
Niklas Nordgren	Columbus Blue Jackets	18	78	0	Link
Nikola Pasic	Columbus Blue Jackets	19	116	0	Link
Ondrej Becher	Columbus Blue Jackets	24	74	0	Link
Oscar Fisker-Molgaard	Columbus Blue Jackets	23	64	0	Link
Patrik Puistola	Columbus Blue Jackets	19	45	0	Link
Pavel Novak	Columbus Blue Jackets	20	84	0	Link
Rhett Pitlick	Columbus Blue Jackets	19	88	0	Link
Robert Mastrosimone	Columbus Blue Jackets	19	67	0	Link
Ruslan Iskhakov	Columbus Blue Jackets	18	58	0	Link
Sean Tschigerl	Columbus Blue Jackets	21	97	0	Link
Slava Demin	Columbus Blue Jackets	18	114	0	Link
Tanner Howe	Columbus Blue Jackets	24	56	0	Link
Timur Mukhanov	Columbus Blue Jackets	23	145	0	Link
Tommy Lafreniere	Columbus Blue Jackets	25	112	0	Link
Tristan Broz	Columbus Blue Jackets	21	53	0	Link
Tuukka Tieksola	Columbus Blue Jackets	19	78	0	Link
Tyler Tullio	Columbus Blue Jackets	20	127	0	Link
Vadim Zherenko	Columbus Blue Jackets	23	140	0	Link
Valentin Nussbaumer	Columbus Blue Jackets	19	124	0	Link
Viggo Nordlund	Columbus Blue Jackets	25	129	0	Link
William Villeneuve	Columbus Blue Jackets	20	72	0	Link
Yegor Serdyuk	Columbus Blue Jackets	19	119	0	Link
Yegor Spiridonov	Columbus Blue Jackets	19	97	0	Link

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
26
27
28
29
30
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

[2026-06-03 10:34:49 AM] TRADE : From Vegas Golden Knights to Columbus Blue Jackets : $960,583 (Money).
[2026-06-03 10:33:55 AM] TRADE : From Winnipeg Jets to Columbus Blue Jackets : $1,024,124 (Money).
[2026-06-03 10:29:39 AM] TRADE : From Columbus Blue Jackets to Tampa Bay Lightning : $1,107,389 (Money).
[2026-06-03 10:24:30 AM] TRADE : From Columbus Blue Jackets to Florida Panthers : $60,160 (Money).
[2026-06-03 10:15:48 AM] TRADE : From Columbus Blue Jackets to Chicago Blackhawks : $1,111,543 (Money).
[2026-05-20 4:07:41 PM] New Record for Team's Most Penalties Minutes (26) in 1 Game for Columbus Blue Jackets!
[2026-04-25 11:07:01 AM] New Record for Team's Most Points (15) in 1 Game for Columbus Blue Jackets!
[2026-04-25 11:07:01 AM] New Record for Team's Most Goals (6) in 1 Game for Columbus Blue Jackets!
[2026-04-15 2:37:39 PM] New Record for Team's Most Shots Blocked (20) in 1 Game for Columbus Blue Jackets!
[2026-03-29 9:39:14 AM] New Record for Team's Most Points (14) in 1 Game for Columbus Blue Jackets!
[2026-03-29 9:39:14 AM] New Record for Team's Most Assists (9) in 1 Game for Columbus Blue Jackets!
[2026-03-25 11:15:35 AM] New Record for Team's Most Shots Blocked (18) in 1 Game for Columbus Blue Jackets!
[2026-03-04 3:05:29 PM] New Record for Team's Most Penalties Minutes (20) in 1 Game for Columbus Blue Jackets!
[2026-02-26 4:20:13 PM] New Record for Team's Most Hits (37) in 1 Game for Columbus Blue Jackets!
[2026-02-22 12:04:53 PM] New Record for Team's Most Shots Blocked (15) in 1 Game for Columbus Blue Jackets!
[2026-02-10 3:13:07 PM] New Record for Team's Most Points (13) in 1 Game for Columbus Blue Jackets!
[2026-02-10 3:13:07 PM] New Record for Team's Most Assists (8) in 1 Game for Columbus Blue Jackets!
[2026-02-09 12:52:56 PM] TRADE : From Los Angeles Kings to Columbus Blue Jackets : $100,000 (Money).
[2026-02-09 12:52:56 PM] TRADE : From Columbus Blue Jackets to Los Angeles Kings : Cole Bardreau (65).
[2026-02-08 11:36:53 AM] New Record for Team's Most Points (12) in 1 Game for Columbus Blue Jackets!
[2026-02-08 11:36:53 AM] New Record for Team's Most Assists (7) in 1 Game for Columbus Blue Jackets!
[2026-02-08 11:36:53 AM] New Record for Team's Most Goals (5) in 1 Game for Columbus Blue Jackets!
[2026-02-06 3:11:23 PM] New Record for Team's Most Hits (31) in 1 Game for Columbus Blue Jackets!
[2026-02-06 3:11:23 PM] New Record for Team's Most Shots (40) in 1 Game for Columbus Blue Jackets!
[2026-02-02 3:12:09 PM] New Record for Team's Most Shots (38) in 1 Game for Columbus Blue Jackets!
[2026-02-02 3:12:09 PM] New Record for Team's Most Points (10) in 1 Game for Columbus Blue Jackets!
[2026-01-31 10:15:19 AM] New Record for Team's Most Penalties Minutes (19) in 1 Game for Columbus Blue Jackets!
[2026-01-31 10:15:19 AM] New Record for Team's Most Shots (36) in 1 Game for Columbus Blue Jackets!
[2026-01-29 10:02:19 AM] New Record for Team's Most Goals (4) in 1 Game for Columbus Blue Jackets!

Jonathan Drouin is out for 3 days because of a Head Injury.

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: 53 \| W: 36 \| L: 12 \| OTL: 5 \| P: 104 GF: 152 \| GA: 112 \| PP%: 18.14% \| PK%: 85.51% GM : Josh \| Morale : 40 \| Team Overall : 77 Next Games #756 vs Ottawa Senators