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

Game Center
	Columbus Blue Jackets 56-17-9, 121pts	3	FINAL	4	Nashville Predators 50-26-6, 106pts

Team Stats
W1	Streak	W2
30-7-4	Home Record	26-10-5
26-10-5	Away Record	24-16-1
8-1-1	Last 10 Games	8-2-0
2.99	Goals Per Game	2.87
2.12	Goals Against Per Game	2.41
24.30%	Power Play Percentage	18.45%
83.01%	Penalty Kill Percentage	79.22%

Carolina Hurricanes
27-49-6, 60pts

FINAL

Columbus Blue Jackets
56-17-9, 121pts

Team Stats
L1	Streak	W1
15-24-2	Home Record	30-7-4
12-25-4	Away Record	26-10-5
4-5-1	Last 10 Games	8-1-1
2.35	Goals Per Game	2.99
3.82	Goals Against Per Game	2.12
18.22%	Power Play Percentage	24.30%
73.43%	Penalty Kill Percentage	83.01%

Team Leaders
	Goals Brad Marchand 50	Assists Brad Marchand 58

	Points Brad Marchand 108	Plus/Minus Mike Reilly 32

	Wins Linus Ullmark 29	Save Percentage Thatcher Demko 0.941

Team Stats
Goals For 245 2.99 GFG	Shots For 2739 33.40 Avg	Power Play Percentage 24.3% 69 GF	Offensive Zone Start 39.1%
Goals Against 174 2.12 GAA	Shots Against 2652 32.34 Avg	Penalty Kill Percentage 83.0%% 44 GA	Defensive Zone Start 39.3%

Team Info
	General Manager	Jean Deslauriers
	Coach	Jim Montgomery
	Division	METROPOLITAINE
	Conference	EASTERN CONFERENCE
	Captain
	Assistant #1	Brent Burns
	Assistant #2
Arena Info
	Name	Nationwide Arena
	Capacity	18,000
	Attendance	17,874
	Season Tickets	7,200
Roster Info
	Pro Team	23
	Farm Team	24
	Contract Limit	47 / 100
	Prospects	25
Salary Cap
	Estimated Season Salary Cap	79,094,141$
	Available Salary Cap	4,405,859$
	Special Salary Cap Value	0$
	Players In Salary Cap	23
Finance
	Year to Date Revenue	77,059,240$
	Year To Date Expenses	82,124,174$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	162,924,624$
	Projected Bank Account	162,924,624$

Show or Hide Columns

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Brad Marchand	0	X	X	X		100.00	85	44	61	81	65	89	87	86	54	87	84	77	82	89	85	32	93	77	2	35	2	6,125,000$
2	Brock Nelson	0	X	X	X		100.00	64	42	86	75	89	91	89	81	78	77	84	69	79	86	82	54	92	74	0	32	3	7,000,000$
3	Charlie Coyle	0	X	X	X		100.00	67	45	88	72	87	86	92	69	81	69	69	85	67	84	79	57	88	71	2	32	1	5,250,000$
4	Mason Marchment	0	X	X			100.00	77	48	70	75	88	85	83	73	60	77	76	65	72	77	73	45	91	71	0	28	4	4,750,000$
5	Anthony Beauvillier	0		X	X		100.00	60	34	91	76	67	87	90	76	55	75	76	69	74	76	70	71	91	70	2	26	2	3,800,000$
6	Pavel Zacha	0	X	X	X		100.00	63	42	92	76	90	87	89	72	78	73	70	64	69	74	72	78	87	69	2	27	4	4,500,000$
7	Robby Fabbri	0	X	X	X		100.00	76	39	79	76	70	87	75	74	77	72	71	65	76	76	77	71	89	69	0	28	3	4,000,000$
8	Filip Chytil	0	X	X	X		100.00	60	42	89	78	83	86	87	73	78	71	69	67	73	70	72	73	81	69	2	24	4	4,400,000$
9	Logan OConnor	0	X	X	X		100.00	70	45	87	71	69	84	90	65	66	66	61	86	65	71	71	68	89	68	0	27	4	1,000,000$
10	Marco Rossi (R)	0	X	X			100.00	57	40	77	78	71	88	88	74	75	72	75	65	66	58	43	85	82	68	2	22	1	894,167$
11	Zack MacEwen	0	X	X	X		100.00	86	82	79	70	86	78	85	69	77	66	68	64	66	73	69	46	62	67	0	27	4	1,000,000$
12	Morgan Barron (R)	0	X				100.00	77	41	67	65	91	83	83	66	75	66	64	76	62	65	64	73	59	66	0	25	1	900,000$
13	Keegan Kolesar	0	X	X	X		100.00	89	82	75	65	84	80	88	61	70	64	59	68	66	72	70	59	85	65	2	27	4	1,400,000$
14	Milan Lucic	0		X	X		100.00	87	88	73	64	91	79	90	60	58	61	60	60	63	89	81	37	69	64	0	35	2	1,000,000$
15	Patrick Maroon	0		X	X		100.00	82	86	59	65	90	78	90	60	57	61	60	58	65	81	81	51	88	63	0	35	2	1,800,000$
16	Brent Burns (A)	0				X	100.00	75	44	82	75	93	93	94	79	30	83	72	87	61	94	84	33	91	78	2	39	2	7,720,000$
17	Andrew Peeke	0				X	100.00	88	45	83	65	88	92	90	66	30	66	58	90	52	64	63	68	85	73	2	26	4	2,750,000$
18	Cody Ceci	0				X	100.00	75	41	94	65	82	91	90	65	30	71	57	89	49	82	76	62	68	73	0	30	3	3,250,000$
19	Kevin Shattenkirk	0				X	100.00	70	40	79	73	77	91	90	71	30	73	64	83	54	86	79	56	86	73	2	35	4	5,700,000$
20	Mike Reilly	2				X	100.00	67	40	81	72	77	87	92	72	30	74	60	78	49	82	76	44	84	71	1	30	4	2,500,000$
21	Justin Schultz	0				X	100.00	62	41	87	72	79	85	84	68	30	76	58	75	52	87	75	50	89	70	2	33	4	3,700,000$
Scratches
Farm Team
1	Trey Fix Wolansky	0	X	X	X		100.00	62	46	76	69	70	89	84	68	62	67	67	66	62	66	67	60	62	66	0	24	2	700,000$
2	Mason Shaw	0	X	X			100.00	66	55	61	66	67	84	85	66	75	63	69	68	63	66	64	62	52	65	1	25	1	700,000$
3	Adam Klapka	0		X	X		100.00	97	57	66	62	99	81	70	59	50	58	61	62	55	65	62	63	58	63	0	23	4	875,000$
4	Austin Wagner	0		X	X		100.00	77	55	79	68	79	77	81	63	60	62	62	61	63	65	68	54	52	63	1	26	3	700,000$
5	Lane Pederson	0	X				100.00	75	49	81	63	81	81	78	58	78	60	65	58	64	70	66	58	35	62	0	26	1	775,000$
6	Marian Studenic (R)	0			X		100.00	66	55	81	63	75	80	82	51	52	62	59	67	62	54	49	73	45	60	0	25	1	700,000$
7	Luke Toporowski (R)	0	X	X	X		100.00	76	50	78	61	78	75	72	61	60	60	60	59	62	52	51	64	36	60	0	23	4	875,000$
8	Justin Scott	0	X				100.00	69	42	79	58	79	76	80	55	61	56	58	62	54	72	68	53	55	60	0	28	1	775,000$
9	Ryan Suzuki (R)	0	X				100.00	60	40	87	63	72	74	75	59	67	61	59	56	60	64	62	61	47	60	0	22	4	1,300,000$
10	Luka Burzan	0	X				100.00	60	36	89	57	73	67	52	51	60	54	56	58	54	55	57	75	35	55	0	24	2	775,000$
11	Ozzy Wiesblatt (R)	0	X		X		100.00	63	39	79	59	69	69	67	54	58	58	55	40	54	54	68	75	43	55	0	22	2	835,833$
12	Mitchell Hoelscher (R)	0	X				100.00	55	45	77	56	64	71	73	54	62	55	56	52	55	55	60	89	42	55	0	24	2	700,000$
13	Gabriel Carlsson	0				X	100.00	76	41	85	63	88	76	78	64	30	65	62	67	55	72	71	80	33	66	2	27	4	2,000,000$
14	Jordan Harris (R)	0				X	100.00	66	40	81	69	70	89	73	68	30	71	61	72	60	64	44	77	64	66	2	23	3	1,400,000$
15	Kodie Curran	0				X	100.00	76	31	79	66	80	75	76	59	30	59	58	67	58	76	76	29	22	65	0	34	2	752,000$
16	Ryan Merkley (R)	0				X	100.00	60	40	74	67	73	83	84	63	30	61	54	60	56	44	44	63	39	61	0	23	3	1,400,000$
17	Dmitry Osipov	0				X	100.00	83	74	61	54	92	62	79	53	30	51	54	60	56	70	67	50	34	61	0	27	3	775,000$
18	James Greenway (R)	0				X	100.00	86	55	66	55	95	67	66	55	30	55	54	61	55	62	42	64	21	60	0	25	3	775,000$
19	Turner Ottenbreit	0				X	100.00	72	49	72	55	82	66	83	53	30	54	53	57	48	67	65	52	44	60	0	26	3	700,000$
20	Jeremie Biakabutuka (R)	0				X	100.00	79	45	71	57	79	75	74	55	30	54	51	57	55	47	52	58	45	59	0	22	4	875,000$

	TEAM AVERAGE						100.00	73	50	80	72	82	86	88	70	58	71	67	73	65	78	73	58	83	70

Show or Hide Columns

Filter Tips

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

#	Goalie Name	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary Average
1	Linus Ullmark	0	100.00	97	95	90	96	96	97	99	98	97	96	96	77	85	53	92	91	0	30	1	1,500,000$
2	Thatcher Demko	0	100.00	90	95	90	88	91	92	94	93	92	92	91	72	82	62	93	87	2	28	3	5,000,000$
Scratches
Farm Team
1	Clay Stevenson (R)	0	100.00	76	70	70	85	75	75	76	76	77	76	75	64	71	43	65	74	0	25	4	875,000$
2	Matthew Villalta (R)	0	100.00	75	80	72	76	77	75	74	75	74	75	74	68	73	63	74	73	0	24	2	700,000$
3	Colten Ellis (R)	0	100.00	70	77	70	75	72	72	72	72	75	72	70	65	40	77	20	68	2	23	1	850,833$
4	Jack LaFontaine (R)	0	100.00	69	70	70	81	68	69	69	67	67	67	65	65	40	77	20	66	0	26	1	775,000$

	TEAM AVERAGE		100.00	94	95	90	92	94	95	97	96	95	94	94	75	84	58	93	89

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Jim Montgomery	74	84	88	73	81	75	68	CAN	53	2	2,500,000$

Show or Hide Columns

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brad Marchand	Columbus Blue Jackets	C/LW/RW	82	50	58	108	15	100	0	232	131	313	98	186	15.97%	49	1760	21.47	17	24	41	58	242	2	1	3	7	247	12	2	43.60%	1858	112	38	2	2	1.23	1	8	0	0	0	6	8	13
2	Brock Nelson	Columbus Blue Jackets	C/LW/RW	82	45	47	92	18	20	0	82	93	318	105	177	14.15%	34	1709	20.84	18	16	34	59	242	4	0	4	8	174	9	4	49.32%	221	91	27	0	4	1.08	4	8	0	0	0	6	10	8
3	Mason Marchment	Columbus Blue Jackets	C/LW	82	31	32	63	14	79	5	138	61	264	78	142	11.74%	16	1240	15.13	9	13	22	36	195	0	0	0	0	0	9	3	41.30%	46	123	10	0	0	1.02	0	3	0	0	1	6	7	3
4	Anthony Beauvillier	Columbus Blue Jackets	LW/RW	82	31	28	59	14	16	0	60	80	233	75	167	13.30%	23	1396	17.04	10	11	21	40	194	0	1	1	3	102	9	2	53.57%	56	100	15	0	1	0.84	1	5	0	0	0	1	8	7
5	Brent Burns	Columbus Blue Jackets	D	82	19	39	58	22	36	0	118	175	206	77	87	9.22%	136	2126	25.93	7	14	21	33	260	0	2	2	5	248	5	2	0%	0	55	75	0	0	0.55	0	0	0	0	0	1	7	9
6	Robby Fabbri	Columbus Blue Jackets	C/LW/RW	82	13	32	45	14	28	0	146	55	235	71	133	5.53%	20	1292	15.76	3	10	13	24	236	0	0	0	0	0	2	1	52.05%	73	87	11	0	0	0.70	1	2	0	0	0	3	2	1
7	Charlie Coyle	Columbus Blue Jackets	C/LW/RW	82	9	28	37	19	8	0	78	172	145	48	71	6.21%	56	1612	19.66	2	6	8	14	194	0	2	2	11	301	0	2	54.30%	1499	26	42	0	0	0.46	2	7	0	0	0	0	2	4
8	Kevin Shattenkirk	Columbus Blue Jackets	D	82	5	25	30	18	40	0	86	114	117	66	52	4.27%	105	1813	22.12	1	12	13	26	253	0	0	0	0	22	1	0	0%	0	26	89	1	0	0.33	0	0	0	0	0	1	1	2
9	Filip Chytil	Columbus Blue Jackets	C/LW/RW	67	9	16	25	10	8	0	34	51	126	45	77	7.14%	18	786	11.73	0	0	0	0	0	0	0	0	0	0	0	1	52.34%	512	45	13	0	0	0.64	1	1	0	0	0	0	1	2
10	Andrew Peeke	Columbus Blue Jackets	D	81	2	20	22	-5	39	5	139	164	96	44	47	2.08%	134	1783	22.01	0	6	6	9	176	0	2	2	2	201	0	0	0%	0	19	79	0	0	0.25	0	0	0	0	1	0	0	1
11	Cody Ceci	Columbus Blue Jackets	D	81	3	18	21	-1	4	0	75	130	106	42	37	2.83%	122	1744	21.53	2	4	6	10	180	0	0	0	0	167	1	0	0%	0	14	69	0	0	0.24	0	0	0	0	0	0	0	2
12	Pavel Zacha	Columbus Blue Jackets	C/LW/RW	82	6	14	20	12	2	0	62	59	99	31	56	6.06%	25	1165	14.21	0	0	0	0	2	0	0	0	0	0	2	2	61.22%	98	28	12	0	0	0.34	0	1	0	0	0	0	0	1
13	Logan OConnor	Columbus Blue Jackets	C/LW/RW	78	5	13	18	13	8	0	86	95	60	18	39	8.33%	24	977	12.53	0	0	0	3	7	0	0	0	0	4	2	0	38.24%	34	8	21	0	0	0.37	0	1	0	0	0	1	0	1
14	Marco Rossi	Columbus Blue Jackets	C/LW	30	6	7	13	5	6	0	11	24	61	19	57	9.84%	4	367	12.26	0	0	0	0	0	0	1	1	1	20	0	1	54.15%	253	26	5	0	0	0.71	0	0	0	0	0	2	1	0
15	Keegan Kolesar	Columbus Blue Jackets	C/LW/RW	80	0	12	12	2	11	5	73	51	112	33	66	0%	17	725	9.07	0	0	0	1	12	0	0	0	3	26	0	0	44.30%	307	31	10	0	0	0.33	0	1	1	0	0	0	0	0
16	Mike Reilly	Columbus Blue Jackets	D	80	0	12	12	32	32	0	53	79	73	30	30	0%	87	1295	16.19	0	0	0	0	13	0	2	2	3	221	0	0	0%	0	15	63	0	0	0.19	0	0	0	0	0	0	0	0
17	Patrick Maroon	Columbus Blue Jackets	LW/RW	80	5	2	7	1	114	30	76	28	47	14	23	10.64%	8	678	8.48	0	0	0	0	1	0	0	0	0	0	1	1	57.69%	26	8	12	0	0	0.21	0	1	2	1	3	1	0	0
18	Justin Schultz	Columbus Blue Jackets	D	82	0	5	5	26	12	0	43	80	50	18	17	0%	58	1062	12.96	0	0	0	1	5	0	0	0	0	12	0	0	0%	0	12	32	0	0	0.09	0	0	0	0	0	0	0	0
19	Milan Lucic	Columbus Blue Jackets	LW/RW	73	1	2	3	-1	131	55	63	17	68	23	44	1.47%	15	610	8.37	0	0	0	0	3	0	0	0	0	0	0	0	35.71%	14	16	13	0	0	0.10	0	0	4	2	5	0	0	0
20	Zack MacEwen	Columbus Blue Jackets	C/LW/RW	35	2	0	2	0	0	0	5	2	5	4	3	40.00%	2	71	2.04	0	0	0	0	0	0	0	0	0	0	0	0	50.00%	8	3	0	0	0	0.56	0	0	0	0	0	0	1	0
21	Gabriel Carlsson	Cleveland Monsters (CLB)	D	3	0	0	0	0	0	0	0	3	0	0	1	0%	0	16	5.40	0	0	0	0	0	0	0	0	0	8	0	0	0%	0	0	0	0	0	0	0	0	0	0	0	0	0	0
22	Kodie Curran	Cleveland Monsters (CLB)	D	6	0	0	0	0	2	0	1	2	1	0	0	0%	0	18	3.15	0	0	0	0	1	0	0	0	0	0	0	0	0%	0	0	2	0	0	0	0	0	0	0	0	0	0	0
23	Jordan Harris	Cleveland Monsters (CLB)	D	6	0	0	0	1	0	0	1	2	4	1	1	0%	2	43	7.18	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	1	0	0	0	0	0	0	0	0	0	0	0	0
Team Total or Average				1520	242	410	652	229	696	100	1662	1668	2739	940	1513	8.84%	955	24299	15.99	69	116	185	314	2227	6	11	17	43	1762	53	21	49.11%	5005	846	638	3	7	0.54	10	38	7	3	10	28	48	54

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	PS %	PSA	ST	BG	S1	S2	S3
1	Linus Ullmark	Columbus Blue Jackets	44	29	8	6	0.932	2.22	2647	4	3	98	1445	669	5	0.710	31	43	39	12	3	4
2	Thatcher Demko	Columbus Blue Jackets	39	27	9	3	0.941	1.83	2324	2	4	71	1207	577	3	0.429	7	39	43	13	7	2
Team Total or Average			83	56	17	9	0.936	2.04	4971	6	7	169	2652	1246	8		38	82	82	25	10	6

Show or Hide Columns

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Average	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Andrew Peeke	Columbus Blue Jackets	D	26	1998-03-17 06:26:24	No	210 Lbs	6 ft3	No	No	N/A	No	No	4	Pro Only	2,750,000$	2,750,000$	2,750,000$	0$	No	2,750,000$	2,750,000$	2,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Anthony Beauvillier	Columbus Blue Jackets	LW/RW	26	1997-06-08 04:38:20	No	182 Lbs	5 ft11	No	No	N/A	No	No	2	Pro Only	3,800,000$	3,800,000$	3,800,000$	0$	No	3,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Brad Marchand	Columbus Blue Jackets	C/LW/RW	35	1988-05-11	No	181 Lbs	6 ft7	No	No	N/A	No	Yes	2	Pro Only	6,125,000$	6,125,000$	6,125,000$	0$	No	6,125,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Brent Burns	Columbus Blue Jackets	D	39	1985-03-09	No	230 Lbs	6 ft5	No	No	N/A	No	Yes	2	Pro Only	8,000,000$	7,720,000$	7,720,000$	0$	No	8,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Brock Nelson	Columbus Blue Jackets	C/LW/RW	32	1991-10-15	No	212 Lbs	6 ft4	No	No	N/A	No	Yes	3	Pro Only	7,000,000$	7,000,000$	7,000,000$	0$	No	7,000,000$	7,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Charlie Coyle	Columbus Blue Jackets	C/LW/RW	32	1992-03-02	No	223 Lbs	6 ft3	No	No	N/A	No	Yes	1	Pro Only	5,250,000$	5,250,000$	5,250,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cody Ceci	Columbus Blue Jackets	D	30	1993-12-21	No	210 Lbs	6 ft2	No	No	N/A	No	Yes	3	Pro Only	3,250,000$	3,250,000$	3,250,000$	0$	No	3,250,000$	3,250,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Filip Chytil	Columbus Blue Jackets	C/LW/RW	24	1999-09-05	No	210 Lbs	6 ft3	No	No	N/A	No	No	4	Pro Only	4,400,000$	4,400,000$	4,400,000$	0$	No	4,400,000$	4,400,000$	4,400,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Justin Schultz	Columbus Blue Jackets	D	33	1990-07-06	No	188 Lbs	6 ft2	No	No	N/A	No	Yes	4	Pro Only	3,700,000$	3,700,000$	3,700,000$	0$	No	3,700,000$	3,700,000$	3,700,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Keegan Kolesar	Columbus Blue Jackets	C/LW/RW	27	1997-04-08	No	217 Lbs	6 ft2	No	No	N/A	No	Yes	4	Pro & Farm	1,400,000$	1,400,000$	1,400,000$	0$	No	1,400,000$	1,400,000$	1,400,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Kevin Shattenkirk	Columbus Blue Jackets	D	35	1989-01-29	No	212 Lbs	6 ft0	No	No	N/A	No	Yes	4	Pro Only	5,700,000$	5,700,000$	5,700,000$	0$	No	5,700,000$	5,700,000$	5,700,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Linus Ullmark	Columbus Blue Jackets	G	30	1993-07-31	No	212 Lbs	6 ft4	No	No	N/A	No	Yes	1	Pro Only	1,500,000$	1,500,000$	1,500,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Logan OConnor	Columbus Blue Jackets	C/LW/RW	27	1996-08-17 14:57:19	No	174 Lbs	6 ft0	No	No	N/A	No	Yes	4	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	0$	No	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-
Marco Rossi	Columbus Blue Jackets	C/LW	22	2001-09-23 07:53:11	Yes	182 Lbs	5 ft9	No	No	N/A	No	No	1	Pro & Farm	894,167$	894,167$	894,167$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link
Mason Marchment	Columbus Blue Jackets	C/LW	28	1995-06-18	No	210 Lbs	6 ft4	No	No	N/A	No	Yes	4	Pro Only	4,750,000$	4,750,000$	4,750,000$	0$	No	4,750,000$	4,750,000$	4,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link
Mike Reilly	Columbus Blue Jackets	D	30	1993-07-13	No	200 Lbs	6 ft2	No	No	N/A	No	Yes	4	Pro Only	2,500,000$	2,500,000$	2,500,000$	0$	No	2,500,000$	2,500,000$	2,500,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Milan Lucic	Columbus Blue Jackets	LW/RW	35	1988-06-07	No	231 Lbs	6 ft3	No	No	N/A	No	Yes	2	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	0$	No	1,000,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Morgan Barron (1 Way Contract)	Columbus Blue Jackets	C	25	1998-12-02 06:28:40	Yes	220 Lbs	6 ft4	No	No	N/A	No	No	1	Pro & Farm	900,000$	900,000$	900,000$	0$	No	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Patrick Maroon	Columbus Blue Jackets	LW/RW	35	1988-04-23	No	238 Lbs	6 ft2	No	No	N/A	No	Yes	2	Pro Only	1,800,000$	1,800,000$	1,800,000$	0$	No	1,800,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Pavel Zacha	Columbus Blue Jackets	C/LW/RW	27	1997-04-06	No	210 Lbs	6 ft3	No	No	N/A	No	Yes	4	Pro Only	4,750,000$	4,500,000$	4,500,000$	0$	No	4,750,000$	4,750,000$	4,750,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link / NHL Link
Robby Fabbri	Columbus Blue Jackets	C/LW/RW	28	1996-01-22	No	190 Lbs	5 ft10	No	No	N/A	No	Yes	3	Pro Only	4,000,000$	4,000,000$	4,000,000$	0$	No	4,000,000$	4,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Thatcher Demko	Columbus Blue Jackets	G	28	1995-12-08	No	192 Lbs	6 ft4	No	No	N/A	No	Yes	3	Pro Only	5,000,000$	5,000,000$	5,000,000$	0$	No	5,000,000$	5,000,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link
Zack MacEwen	Columbus Blue Jackets	C/LW/RW	27	1996-07-08	No	205 Lbs	6 ft3	No	No	N/A	No	Yes	4	Pro & Farm	1,000,000$	1,000,000$	1,000,000$	0$	No	1,000,000$	1,000,000$	1,000,000$	-	-	-	-	-	-	No	No	No	-	-	-	-	-	-	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
23	29.61	206 Lbs	6 ft2	2.87	3,498,659$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
80,469,167$	71,925,000$	51,200,000$	31,950,000$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brock Nelson	Brad Marchand	Pavel Zacha	35	1	1	3
2	Anthony Beauvillier	Charlie Coyle	Robby Fabbri	30	1	2	2
3	Mason Marchment	Marco Rossi	Logan OConnor	25	1	3	1
4	Patrick Maroon	Filip Chytil	Keegan Kolesar	10	2	2	1

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brent Burns	Kevin Shattenkirk	37	1	2	2
2	Cody Ceci	Andrew Peeke	35	1	2	2
3	Mike Reilly	Justin Schultz	23	1	3	1
4	Brent Burns	Kevin Shattenkirk	5	0	1	4

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Brock Nelson	Brad Marchand	Robby Fabbri	60	0	1	4
2	Anthony Beauvillier	Charlie Coyle	Mason Marchment	40	1	1	3

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brent Burns	Kevin Shattenkirk	60	1	1	3
2	Andrew Peeke	Mike Reilly	40	1	1	3

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Charlie Coyle	Brad Marchand	60	1	3	1
2	Brock Nelson	Marco Rossi	40	1	3	1

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brent Burns	Mike Reilly	60	1	3	1
2	Andrew Peeke	Kevin Shattenkirk	40	1	3	1

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Charlie Coyle	60	1	4	0	Brent Burns	Mike Reilly	60	1	4	0
2	Anthony Beauvillier	40	1	4	0	Andrew Peeke	Kevin Shattenkirk	40	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Brad Marchand	Anthony Beauvillier	60	1	2	2
2	Brock Nelson	Charlie Coyle	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Brent Burns	Kevin Shattenkirk	60	1	2	2
2	Andrew Peeke	Mike Reilly	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Brock Nelson	Brad Marchand	Charlie Coyle	Brent Burns	Kevin Shattenkirk

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Brock Nelson	Brad Marchand	Charlie Coyle	Brent Burns	Kevin Shattenkirk

Extra Forwards
Normal	PowerPlay	Penalty Kill
Brock Nelson, Brad Marchand, Charlie Coyle	Brad Marchand, Charlie Coyle	Brad Marchand

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Mike Reilly, Brent Burns, Andrew Peeke	Mike Reilly	Andrew Peeke , Mike Reilly

Penalty Shots
Brad Marchand, Brock Nelson, Charlie Coyle, Anthony Beauvillier , Mason Marchment

Goalie
#1 : Linus Ullmark, #2 : Thatcher Demko, #3 : 0

Custom OT Lines Forwards
Brad Marchand, Brock Nelson, Charlie Coyle, Anthony Beauvillier , Mason Marchment, Pavel Zacha, Pavel Zacha, Logan OConnor, Robby Fabbri, Marco Rossi, Filip Chytil

Custom OT Lines Defensemen
Brent Burns, Kevin Shattenkirk, Andrew Peeke , Cody Ceci, Mike Reilly

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 Ducks	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	12	19	0	1	2	3	2	0	74	24	31	19	0	48	20	36	51	7	0	0.00%	8	1	87.50%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	47	30	41	17	31	16
2	Arizona Coyotes	2	1	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	6	2	4	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	7	13	20	0	0	2	3	2	0	76	21	31	24	0	75	22	40	41	3	0	0.00%	10	3	70.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	44	28	44	16	31	14
3	Boston Bruins	3	1	0	0	1	1	0	0	15	10	5	2	0	0	0	1	1	0	0	7	7	0	1	1	0	0	0	0	0	0	8	3	5	5	0.833	15	26	41	0	0	3	3	8	1	100	27	37	35	1	92	35	11	54	8	2	25.00%	3	0	100.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	65	39	67	25	51	26
4	Buffalo Sabres	3	3	0	0	0	0	0	0	10	4	6	1	1	0	0	0	0	0	0	4	1	3	2	2	0	0	0	0	0	0	6	3	3	6	1.000	10	16	26	0	0	4	3	3	0	91	33	34	24	0	100	34	29	60	9	3	33.33%	12	2	83.33%	1	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	67	41	67	24	45	22
5	Calgary Flames	2	2	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	2	0	2	1	1	0	0	0	0	0	0	2	1	1	4	1.000	4	8	12	0	1	2	2	0	0	71	26	32	13	0	52	24	53	56	11	2	18.18%	9	1	88.89%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	47	30	41	17	30	16
6	Carolina Hurricanes	4	2	0	0	1	1	0	0	14	10	4	2	1	0	0	1	0	0	0	10	7	3	2	1	0	0	0	1	0	0	4	3	1	7	0.875	14	26	40	0	1	2	6	5	1	132	37	57	35	3	135	43	25	87	16	3	18.75%	10	3	70.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	89	56	86	33	65	32
7	Chicago Blackhawks	2	1	0	0	0	0	0	1	4	3	1	1	1	0	0	0	0	0	0	3	1	2	1	0	0	0	0	0	0	1	1	2	-1	3	0.750	4	7	11	0	0	1	2	1	0	70	28	25	15	4	71	29	21	43	6	1	16.67%	3	0	100.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	48	28	41	17	35	18
8	Colorado Avalanche	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	4	3	1	4	1.000	8	14	22	0	0	0	5	3	0	64	17	27	20	0	62	24	6	40	10	3	30.00%	3	0	100.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	45	28	42	16	32	16
9	Dallas Stars	2	0	0	0	1	0	0	1	6	6	0	1	0	0	0	0	0	0	1	2	3	-1	1	0	0	0	1	0	0	0	4	3	1	3	0.750	6	10	16	0	0	4	1	0	2	61	23	26	10	7	76	21	16	35	5	2	40.00%	8	2	75.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	39	21	51	19	34	16
10	Detroit Redwings	3	2	1	0	0	0	0	0	9	6	3	1	0	1	0	0	0	0	0	1	2	-1	2	2	0	0	0	0	0	0	8	4	4	4	0.667	9	15	24	0	0	1	6	2	0	98	27	51	20	0	104	46	33	58	9	1	11.11%	9	3	66.67%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	62	37	70	24	47	23
11	Edmonton Oilers	2	1	0	0	0	0	1	0	6	2	4	1	1	0	0	0	0	0	0	3	0	3	1	0	0	0	0	0	1	0	3	2	1	4	1.000	6	9	15	0	1	2	2	1	2	76	30	21	19	12	72	25	14	31	5	2	40.00%	7	0	100.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	46	30	47	16	30	15
12	Florida Panthers	3	1	1	0	0	0	0	1	6	8	-2	1	0	0	0	0	0	0	1	3	4	-1	2	1	1	0	0	0	0	0	3	4	-1	3	0.500	6	9	15	0	0	2	2	2	0	91	31	26	34	3	102	33	24	45	8	0	0.00%	12	2	83.33%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	66	40	69	26	48	25
13	Las Vegas Golden Knights	2	1	1	0	0	0	0	0	4	4	0	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	4	7	11	0	0	3	0	1	0	66	27	20	19	0	50	17	12	51	10	0	0.00%	6	1	83.33%	1	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	51	31	37	15	31	17
14	Los Angeles Kings	2	0	0	0	0	2	0	0	5	7	-2	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	3	4	-1	2	0.500	5	7	12	0	0	1	1	3	0	65	19	16	26	4	65	25	12	36	10	3	30.00%	6	2	66.67%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	41	26	49	16	29	14
15	Minnesota Wild	2	0	1	0	0	0	1	0	4	5	-1	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	4	6	10	0	0	1	2	0	1	62	29	21	11	4	59	29	6	38	5	2	40.00%	3	0	100.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	45	28	46	16	32	16
16	Montreal Canadiens	3	2	0	0	0	0	1	0	8	3	5	1	1	0	0	0	0	0	0	3	1	2	2	1	0	0	0	0	1	0	5	2	3	6	1.000	8	10	18	0	0	2	2	3	2	108	31	43	34	4	90	29	6	53	15	5	33.33%	3	1	66.67%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	76	48	57	26	50	26
17	Nashville Predators	2	1	0	0	0	0	0	1	7	4	3	1	1	0	0	0	0	0	0	4	0	4	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	7	13	20	0	1	3	2	2	2	66	19	28	18	12	65	27	21	55	11	3	27.27%	7	1	85.71%	1	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	47	28	44	17	33	16
18	New Jersey Devils	4	2	1	0	1	0	0	0	8	5	3	2	1	0	0	1	0	0	0	6	2	4	2	1	1	0	0	0	0	0	2	3	-1	6	0.750	8	12	20	0	0	2	3	2	1	120	39	34	44	3	134	38	44	102	9	3	33.33%	12	0	100.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	84	49	90	35	68	32
19	New York Islanders	3	1	2	0	0	0	0	0	7	7	0	2	0	2	0	0	0	0	0	4	6	-2	1	1	0	0	0	0	0	0	3	1	2	2	0.333	7	13	20	0	0	0	5	2	0	97	30	39	28	0	94	23	16	43	12	1	8.33%	8	1	87.50%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	63	39	67	25	49	24
20	New York Rangers	4	1	3	0	0	0	0	0	13	21	-8	2	0	2	0	0	0	0	0	7	12	-5	2	1	1	0	0	0	0	0	6	9	-3	2	0.250	13	19	32	0	0	3	4	6	0	125	35	53	37	0	136	43	58	71	6	2	33.33%	19	7	63.16%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	79	47	97	35	63	29
21	Ottawa Senators	3	2	1	0	0	0	0	0	6	4	2	2	2	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	1	2	-1	4	0.667	6	11	17	0	1	1	4	1	0	104	37	35	32	0	89	42	18	59	11	4	36.36%	9	0	100.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	65	40	69	24	45	21
22	Philadelphia Flyers	4	3	0	0	0	0	0	1	10	8	2	2	2	0	0	0	0	0	0	7	5	2	2	1	0	0	0	0	0	1	3	3	0	7	0.875	10	16	26	0	0	5	4	1	2	133	52	38	41	6	139	63	30	77	14	4	28.57%	15	2	86.67%	1	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	88	56	94	33	61	30
23	Pittsburgh Penguins	4	3	1	0	0	0	0	0	12	9	3	2	2	0	0	0	0	0	0	8	5	3	2	1	1	0	0	0	0	0	4	4	0	6	0.750	12	20	32	0	0	4	3	5	0	164	49	56	59	0	138	58	18	64	10	2	20.00%	8	2	75.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	97	63	80	32	61	31
24	San Jose Sharks	2	1	0	0	1	0	0	0	7	3	4	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	7	11	18	0	0	3	2	1	1	70	19	27	23	1	68	19	18	54	7	3	42.86%	9	1	88.89%	1	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	45	28	45	18	32	15
25	Seattle Kraken	2	2	0	0	0	0	0	0	14	3	11	1	1	0	0	0	0	0	0	11	1	10	1	1	0	0	0	0	0	0	3	2	1	4	1.000	14	25	39	0	0	4	2	8	0	66	17	27	22	0	62	22	17	41	9	3	33.33%	6	1	83.33%	1	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	42	26	48	17	29	14
26	St. Louis Blues	2	1	1	0	0	0	0	0	5	6	-1	1	1	0	0	0	0	0	0	4	3	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	9	14	0	0	1	2	2	0	51	17	24	10	0	77	22	18	48	10	3	30.00%	9	3	66.67%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	39	22	49	17	30	15
27	Tampa Bay Lightning	3	3	0	0	0	0	0	0	7	3	4	2	2	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	2	1	1	6	1.000	7	12	19	0	0	2	4	1	0	92	35	33	24	0	83	32	26	68	4	2	50.00%	13	1	92.31%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	65	40	68	26	46	22
28	Toronto Maple Leafs	3	2	1	0	0	0	0	0	13	9	4	2	2	0	0	0	0	0	0	11	6	5	1	0	1	0	0	0	0	0	2	3	-1	4	0.667	13	20	33	0	0	4	6	3	0	102	37	34	31	0	95	30	18	64	10	1	10.00%	9	1	88.89%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	67	40	63	25	49	26
29	Vancouver Canucks	2	1	1	0	0	0	0	0	4	4	0	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	4	8	12	0	0	1	2	1	0	74	20	27	27	0	62	23	22	40	8	1	12.50%	6	2	66.67%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	45	28	45	16	29	15
30	Washington Capitals	3	2	1	0	0	0	0	0	10	5	5	1	0	1	0	0	0	0	0	2	3	-1	2	2	0	0	0	0	0	0	8	2	6	4	0.667	10	17	27	0	1	3	6	1	0	106	30	45	31	0	83	27	24	50	22	7	31.82%	12	0	100.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	67	39	60	27	52	26
31	Winnipeg Jets	2	1	0	0	1	0	0	0	5	3	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	1	0	0	0	3	2	1	4	1.000	5	9	14	0	0	3	0	1	1	64	19	21	20	4	74	30	10	47	4	1	25.00%	5	1	80.00%	0	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	40	25	48	16	32	16
	Total	82	47	17	0	6	4	3	5	245	174	71	41	25	7	0	4	2	1	2	139	86	53	41	22	10	0	2	2	2	3	106	88	18	121	0.738	245	410	655	0	7	71	92	73	16	2739	885	1019	805	68	2652	955	702	1662	284	69	24.30%	259	44	83.01%	6	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	1822	1126	1834	699	1316	657
	_Since Last GM Reset	82	47	17	0	6	4	3	5	245	174	71	41	25	7	0	4	2	1	2	139	86	53	41	22	10	0	2	2	2	3	106	88	18	121	0.738	245	410	655	0	7	71	92	73	16	2739	885	1019	805	68	2652	955	702	1662	284	69	24.30%	259	44	83.01%	6	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	1822	1126	1834	699	1316	657
	_Vs Conference	50	30	12	0	3	2	1	2	148	112	36	25	14	6	0	3	1	0	1	83	65	18	25	16	6	0	0	1	1	1	65	47	18	72	0.720	148	242	390	0	3	38	61	45	7	1663	530	615	509	20	1614	576	380	955	163	40	24.54%	154	25	83.77%	2	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	1105	682	1109	426	807	403
	_Vs Division	26	14	8	0	2	1	0	1	74	65	9	13	6	5	0	2	0	0	0	44	40	4	13	8	3	0	0	1	0	1	30	25	5	34	0.654	74	123	197	0	2	19	31	22	4	877	272	322	275	12	859	295	215	494	89	22	24.72%	84	15	82.14%	1	936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%	570	352	576	223	422	207

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
82	121	W1	245	410	655	2739	2652	955	702	1662	0	7

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	47	17	6	4	3	5	245	174

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	25	7	4	2	1	2	139	86

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	10	2	2	2	3	106	88

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

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
284	69	24.30%	259	44	83.01%	6

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
885	1019	805	68	71	92	73	16

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
936	1934	48.40%	1017	1945	52.29%	505	1072	47.11%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1822	1126	1834	699	1316	657

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
3	11	Philadelphia Flyers	1	Columbus Blue Jackets	2	BW			BoxScore
5	22	New York Rangers	5	Columbus Blue Jackets	4	BL			BoxScore
7	35	Detroit Redwings	2	Columbus Blue Jackets	1	BL			BoxScore
11	63	Calgary Flames	0	Columbus Blue Jackets	2	BW			BoxScore
12	73	Columbus Blue Jackets	2	Minnesota Wild	4	AL			BoxScore
15	84	Anaheim Ducks	0	Columbus Blue Jackets	4	BW			BoxScore
17	103	Columbus Blue Jackets	2	Montreal Canadiens	1	AW	X	X	BoxScore
19	121	New York Islanders	3	Columbus Blue Jackets	2	BL			BoxScore
21	136	Columbus Blue Jackets	4	Dallas Stars	3	AW	X		BoxScore
24	146	Tampa Bay Lightning	1	Columbus Blue Jackets	2	BW			BoxScore
26	166	Columbus Blue Jackets	2	Washington Capitals	0	AW			BoxScore
28	176	Columbus Blue Jackets	1	Florida Panthers	3	AL			BoxScore
31	194	Dallas Stars	3	Columbus Blue Jackets	2	BL	X	X	BoxScore
33	210	Columbus Blue Jackets	4	Detroit Redwings	3	AW			BoxScore
34	225	Columbus Blue Jackets	5	New York Rangers	4	AW			BoxScore
36	230	Pittsburgh Penguins	1	Columbus Blue Jackets	2	BW			BoxScore
38	243	Arizona Coyotes	2	Columbus Blue Jackets	6	BW			BoxScore
40	263	Columbus Blue Jackets	6	Washington Capitals	2	AW			BoxScore
41	268	Columbus Blue Jackets	1	Philadelphia Flyers	2	AL	X	X	BoxScore
44	280	Chicago Blackhawks	1	Columbus Blue Jackets	3	BW			BoxScore
46	297	Columbus Blue Jackets	2	New Jersey Devils	1	AW			BoxScore
48	318	Columbus Blue Jackets	2	Carolina Hurricanes	3	AL	X		BoxScore
49	321	Boston Bruins	3	Columbus Blue Jackets	2	BL	X		BoxScore
51	337	Montreal Canadiens	1	Columbus Blue Jackets	3	BW			BoxScore
53	354	Ottawa Senators	0	Columbus Blue Jackets	2	BW			BoxScore
55	371	Columbus Blue Jackets	8	Boston Bruins	3	AW			BoxScore
57	381	Los Angeles Kings	3	Columbus Blue Jackets	2	BL	X		BoxScore
59	397	Columbus Blue Jackets	3	New York Islanders	1	AW			BoxScore
60	405	St. Louis Blues	3	Columbus Blue Jackets	4	BW			BoxScore
62	420	Florida Panthers	4	Columbus Blue Jackets	3	BL	X	X	BoxScore
66	449	Columbus Blue Jackets	2	Toronto Maple Leafs	3	AL			BoxScore
68	464	New Jersey Devils	1	Columbus Blue Jackets	4	BW			BoxScore
71	485	Columbus Blue Jackets	4	Buffalo Sabres	2	AW			BoxScore
73	499	Washington Capitals	3	Columbus Blue Jackets	2	BL			BoxScore
75	518	Toronto Maple Leafs	3	Columbus Blue Jackets	4	BW			BoxScore
79	528	Columbus Blue Jackets	0	New Jersey Devils	2	AL			BoxScore
81	546	Toronto Maple Leafs	3	Columbus Blue Jackets	7	BW			BoxScore
82	556	Columbus Blue Jackets	2	Buffalo Sabres	1	AW			BoxScore
85	574	Boston Bruins	4	Columbus Blue Jackets	5	BW	X		BoxScore
87	592	Columbus Blue Jackets	2	Philadelphia Flyers	1	AW			BoxScore
89	610	Minnesota Wild	1	Columbus Blue Jackets	2	BW	X	X	BoxScore
92	631	Columbus Blue Jackets	3	Winnipeg Jets	2	AW	X		BoxScore
96	659	Seattle Kraken	1	Columbus Blue Jackets	11	BW			BoxScore
98	673	Vancouver Canucks	2	Columbus Blue Jackets	1	BL			BoxScore
102	703	New Jersey Devils	1	Columbus Blue Jackets	2	BW	X		BoxScore
106	736	Columbus Blue Jackets	3	Edmonton Oilers	2	AW	X	X	BoxScore
108	753	Columbus Blue Jackets	2	Calgary Flames	1	AW			BoxScore
110	771	Columbus Blue Jackets	3	Vancouver Canucks	2	AW			BoxScore
111	774	Columbus Blue Jackets	3	Seattle Kraken	2	AW			BoxScore
113	776	Columbus Blue Jackets	1	St. Louis Blues	3	AL			BoxScore
124	812	Tampa Bay Lightning	1	Columbus Blue Jackets	3	BW			BoxScore
127	826	Columbus Blue Jackets	1	Ottawa Senators	2	AL			BoxScore
131	861	Columbus Blue Jackets	4	San Jose Sharks	1	AW			BoxScore
134	883	Columbus Blue Jackets	3	Los Angeles Kings	4	AL	X		BoxScore
135	886	Columbus Blue Jackets	3	Anaheim Ducks	2	AW			BoxScore
137	900	Buffalo Sabres	1	Columbus Blue Jackets	4	BW			BoxScore
139	921	New York Rangers	7	Columbus Blue Jackets	3	BL			BoxScore
142	939	Columbus Blue Jackets	1	New York Rangers	5	AL			BoxScore
143	942	Carolina Hurricanes	6	Columbus Blue Jackets	7	BW	X		BoxScore
145	965	Columbus Blue Jackets	1	Chicago Blackhawks	2	AL	X	X	BoxScore
147	975	Las Vegas Golden Knights	1	Columbus Blue Jackets	3	BW			BoxScore
148	983	Columbus Blue Jackets	1	Pittsburgh Penguins	2	AL			BoxScore
150	995	Edmonton Oilers	0	Columbus Blue Jackets	3	BW			BoxScore
152	1010	Nashville Predators	0	Columbus Blue Jackets	4	BW			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
155	1033	Columbus Blue Jackets	3	Montreal Canadiens	1	AW			BoxScore
157	1047	Ottawa Senators	2	Columbus Blue Jackets	3	BW			BoxScore
159	1066	San Jose Sharks	2	Columbus Blue Jackets	3	BW	X		BoxScore
160	1076	Winnipeg Jets	1	Columbus Blue Jackets	2	BW			BoxScore
162	1083	Columbus Blue Jackets	4	Detroit Redwings	1	AW			BoxScore
165	1111	Columbus Blue Jackets	4	Colorado Avalanche	3	AW			BoxScore
166	1123	Columbus Blue Jackets	1	Las Vegas Golden Knights	3	AL			BoxScore
169	1145	Columbus Blue Jackets	1	Arizona Coyotes	3	AL			BoxScore
171	1154	Columbus Blue Jackets	3	Pittsburgh Penguins	2	AW			BoxScore
173	1172	Pittsburgh Penguins	4	Columbus Blue Jackets	6	BW			BoxScore
175	1181	Colorado Avalanche	1	Columbus Blue Jackets	4	BW			BoxScore
178	1203	New York Islanders	3	Columbus Blue Jackets	2	BL			BoxScore
180	1222	Philadelphia Flyers	4	Columbus Blue Jackets	5	BW			BoxScore
181	1230	Columbus Blue Jackets	2	Carolina Hurricanes	0	AW			BoxScore
183	1245	Columbus Blue Jackets	2	Tampa Bay Lightning	1	AW			BoxScore
185	1256	Columbus Blue Jackets	2	Florida Panthers	1	AW			BoxScore
187	1278	Columbus Blue Jackets	3	Nashville Predators	4	AL	X	X	BoxScore
190	1296	Carolina Hurricanes	1	Columbus Blue Jackets	3	BW			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	243,841	203,258	81,993	162,731	41,000
Attendance PCT	99.12%	99.15%	99.99%	99.23%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	17874 - 99.30%	1,879,494$	77,059,240$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
82,124,174$	80,469,167$	79,939,167$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
416,350$	79,094,141$	19,901,172$	23	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	432,131$	0$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
0$	162,924,624$	162,924,624$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
79,094,141$	4,405,859$	83,500,000$	17,394,141$

Depth Chart

Left Wing

Center

Right Wing

Brad Marchand	AGE:35	PO:32	OV:77
Brock Nelson	AGE:32	PO:54	OV:74
Charlie Coyle	AGE:32	PO:57	OV:71
Mason Marchment	AGE:28	PO:45	OV:71
Anthony Beauvillier	AGE:26	PO:71	OV:70
Pavel Zacha	AGE:27	PO:78	OV:69
Filip Chytil	AGE:24	PO:73	OV:69
Robby Fabbri	AGE:28	PO:71	OV:69
Marco Rossi (R)	AGE:22	PO:85	OV:68
Logan OConnor	AGE:27	PO:68	OV:68
Zack MacEwen	AGE:27	PO:46	OV:67
Trey Fix Wolansky	AGE:24	PO:60	OV:66
Mason Shaw	AGE:25	PO:62	OV:65
Keegan Kolesar	AGE:27	PO:59	OV:65
Milan Lucic	AGE:35	PO:37	OV:64
Adam Klapka	AGE:23	PO:63	OV:63
Austin Wagner	AGE:26	PO:54	OV:63
Patrick Maroon	AGE:35	PO:51	OV:63
Luke Toporowski (R)	AGE:23	PO:64	OV:60

Brad Marchand	AGE:35	PO:32	OV:77
Brock Nelson	AGE:32	PO:54	OV:74
Charlie Coyle	AGE:32	PO:57	OV:71
Mason Marchment	AGE:28	PO:45	OV:71
Pavel Zacha	AGE:27	PO:78	OV:69
Filip Chytil	AGE:24	PO:73	OV:69
Robby Fabbri	AGE:28	PO:71	OV:69
Marco Rossi (R)	AGE:22	PO:85	OV:68
Logan OConnor	AGE:27	PO:68	OV:68
Zack MacEwen	AGE:27	PO:46	OV:67
Morgan Barron (R)	AGE:25	PO:73	OV:66
Trey Fix Wolansky	AGE:24	PO:60	OV:66
Mason Shaw	AGE:25	PO:62	OV:65
Keegan Kolesar	AGE:27	PO:59	OV:65
Lane Pederson	AGE:26	PO:58	OV:62
Luke Toporowski (R)	AGE:23	PO:64	OV:60
Ryan Suzuki (R)	AGE:22	PO:61	OV:60
Justin Scott	AGE:28	PO:53	OV:60
Mitchell Hoelscher (R)	AGE:24	PO:89	OV:55
Luka Burzan	AGE:24	PO:75	OV:55
Ozzy Wiesblatt (R)	AGE:22	PO:75	OV:55

Brad Marchand	AGE:35	PO:32	OV:77
Brock Nelson	AGE:32	PO:54	OV:74
Charlie Coyle	AGE:32	PO:57	OV:71
Anthony Beauvillier	AGE:26	PO:71	OV:70
Pavel Zacha	AGE:27	PO:78	OV:69
Filip Chytil	AGE:24	PO:73	OV:69
Robby Fabbri	AGE:28	PO:71	OV:69
Logan OConnor	AGE:27	PO:68	OV:68
Zack MacEwen	AGE:27	PO:46	OV:67
Trey Fix Wolansky	AGE:24	PO:60	OV:66
Keegan Kolesar	AGE:27	PO:59	OV:65
Milan Lucic	AGE:35	PO:37	OV:64
Adam Klapka	AGE:23	PO:63	OV:63
Austin Wagner	AGE:26	PO:54	OV:63
Patrick Maroon	AGE:35	PO:51	OV:63
Marian Studenic (R)	AGE:25	PO:73	OV:60
Luke Toporowski (R)	AGE:23	PO:64	OV:60
Ozzy Wiesblatt (R)	AGE:22	PO:75	OV:55

Defense #1

Defense #2

Goalie

Brent Burns	AGE:39	PO:33	OV:78
Andrew Peeke	AGE:26	PO:68	OV:73
Cody Ceci	AGE:30	PO:62	OV:73
Kevin Shattenkirk	AGE:35	PO:56	OV:73
Mike Reilly	AGE:30	PO:44	OV:71
Justin Schultz	AGE:33	PO:50	OV:70
Gabriel Carlsson	AGE:27	PO:80	OV:66

Jordan Harris (R)	AGE:23	PO:77	OV:66
Kodie Curran	AGE:34	PO:29	OV:65
Ryan Merkley (R)	AGE:23	PO:63	OV:61
Dmitry Osipov	AGE:27	PO:50	OV:61
James Greenway (R)	AGE:25	PO:64	OV:60
Turner Ottenbreit	AGE:26	PO:52	OV:60
Jeremie Biakabutuka (R)	AGE:22	PO:58	OV:59

Linus Ullmark	AGE:30	PO:53	OV:91
Thatcher Demko	AGE:28	PO:62	OV:87
Clay Stevenson (R)	AGE:25	PO:43	OV:74
Matthew Villalta (R)	AGE:24	PO:63	OV:73
Colten Ellis (R)	AGE:23	PO:77	OV:68
Jack LaFontaine (R)	AGE:26	PO:77	OV:66

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
Adam Zlnka	Columbus Blue Jackets	2022	217
Aiden Hreschuk	Columbus Blue Jackets	2021	103
Alex Formenton	Columbus Blue Jackets	2017	47
Andrei Buyalsky	Columbus Blue Jackets	2021	94
Cooper Foster	Columbus Blue Jackets	2023	198
Daniil But	Columbus Blue Jackets	2023	16
David Reinbacher	Columbus Blue Jackets	2023	6
Easton Cowan	Columbus Blue Jackets	2023	38
Gavin Brindley	Columbus Blue Jackets	2023	56
Hudson Malinoski	Columbus Blue Jackets	2023	166
Ilya Fedotov	Columbus Blue Jackets	2021	54
Jaroslav Chmelar	Columbus Blue Jackets	2021	155
Jayson Shaugabay	Columbus Blue Jackets	2023	134
Jiri Felcman	Columbus Blue Jackets	2023	102
Joey Muldowney	Columbus Blue Jackets	2022	185
Jordan Gustafson	Columbus Blue Jackets	2022	85
Marcus Davidsson	Columbus Blue Jackets	2017	41
Michael Callow	Columbus Blue Jackets	2022	153
Owen McLaughlin	Columbus Blue Jackets	2021	215
Samuel Honzek	Columbus Blue Jackets	2023	24
Samuel Savoie	Columbus Blue Jackets	2022	89
Theo Jacobsson	Columbus Blue Jackets	2021	187
Veeti Vainio	Columbus Blue Jackets	2015	141
Victor Stjernborg	Columbus Blue Jackets	2021	123
Yegor Zaitsev	Columbus Blue Jackets	2017	211

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
9	CLB	CLB	CLB	CLB	CLB	CLB	CLB
10	CLB	CLB	CLB	CLB	CLB	CLB	CLB
11	CLB	CLB	CLB	CLB	CLB	CLB	CLB
12	CLB	CLB	CLB	CLB	CLB	CLB	CLB
13	CLB	CLB	CLB	CLB	CLB	CLB	CLB
Conditional Draft Picks

La course des stars vert les séries

By Jean Francois Marleau (Dallas Stars) On Thursday 31st March 2022 / 3:50pm

La course au séries est très serré et les stars sont pas si loin d'une calcification grâce au récent succès du trio Tatar - Crosby- Anderson et l'excellence de la défensive .Nutivara apporte exactement se qu'on lui demandait à sont arrivés ,les unités spéciales se replace ,Fleury et oettinger font un bon travail devant le filet . 7-2-1 dans les 10 dernière partie si les stars peuve répéter cette exploit ont sera en très bonne position. Rien n'est joué le calendrier se resserre et l'on affrontera des équipes très bien placé ça sera difficile m'es possible.

View comments (1)

Jean Deslauriers (Columbus Blue Jackets) On 2nd April / 2:44pm :

3 étoiles de la semaine
1 - Nick Schmaltz of New York Rangers (7-1-8) 2 - Adam Fox of New York Rangers (2-7-9) 3 - Brad Marchand of Columbus Blue Jackets (2-6-8)

New Comment

Columbus Blue Jackets Trade History

[2023-11-18 10:58:21] - Kodie Curran was added to Columbus Blue Jackets.
[2023-08-27 18:20:55] - Luke Toporowski was added to Columbus Blue Jackets.
[2023-08-27 18:20:50] - Adam Klapka was added to Columbus Blue Jackets.
[2023-08-27 18:20:44] - Jeremie Biakabutuka was added to Columbus Blue Jackets.
[2023-08-27 18:20:35] - Clay Stevenson was added to Columbus Blue Jackets.
[2023-08-22 19:24:54] - Kevin Shattenkirk was added to Columbus Blue Jackets.
[2023-08-22 19:24:48] - Mike Reilly was added to Columbus Blue Jackets.
[2023-08-22 19:24:38] - Justin Schultz was added to Columbus Blue Jackets.

[2024-04-20 07:43:55] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:39:50] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:39:27] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:39:06] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:38:57] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:38:52] Last 7 Days Farm Star : 1 - Mason Shaw of Cleveland Monsters (5-6-11) / 2 - Grigori Denisenko of Hershey Bears (5-0-5) / 3 - Cale Fleury of Syracuse Crunch (0-4-4)
[2024-04-20 07:38:47] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:38:33] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:38:17] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:36:40] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:36:28] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:35:51] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:35:41] Last 7 Days Farm Star : 1 - Ryan Dzingel of Laval Rocket (3-3-6) / 2 - Jeff Kubiak of Iowa Wild (4-0-4) / 3 - Trey Fix Wolansky of Cleveland Monsters (3-3-6)
[2024-04-20 07:34:16] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:32:34] Auto Lines Partial Function has been run for Cleveland Monsters.
[2024-04-20 07:32:34] Auto Lines Partial Function has been run for Columbus Blue Jackets.
[2024-04-20 07:32:34] Auto Roster Partial Function has been run for Columbus Blue Jackets.
[2024-04-20 07:32:34] Morgan Barron of Columbus Blue Jackets was sent to pro.
[2024-04-20 07:32:26] Cody Ceci from Columbus Blue Jackets is back from Bruised Left Foot Injury.
[2024-04-20 07:32:17] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:32:11] Last 7 Days Farm Star : 1 - Riley Tufte of Hartford Wolf Pack (5-1-6) / 2 - Justin Scott of Cleveland Monsters (5-1-6) / 3 - Cole Guttman of Hershey Bears (2-3-5)
[2024-04-20 07:31:58] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:31:58] Farm Game #1013 - Justin Scott from Cleveland Monsters has scored a Hat Trick!
[2024-04-20 07:28:02] Cleveland Monsters lines for next game are empty. Current rosters/lines are not erased.
[2024-04-20 07:27:58] Auto Lines Partial Function has been run for Cleveland Monsters.
[2024-04-20 07:27:34] Morgan Barron of Columbus Blue Jackets was sent to farm.
[2024-04-20 07:27:34] Jordan Harris of Columbus Blue Jackets was sent to farm.

No Injury or Suspension.

Columbus Blue Jackets Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Columbus Blue Jackets Goalies Stat Leaders (Regular Season)

Show or Hide Columns

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

Columbus Blue Jackets Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Columbus Blue Jackets Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Columbus Blue Jackets Goalies Stat Leaders (Play-Off)

Show or Hide Columns

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

	Columbus Blue Jackets
	GP: 82 \| W: 56 \| L: 17 \| OTL: 9 \| P: 121 GF: 245 \| GA: 174 \| PP%: 24.30% \| PK%: 83.01% GM : Jean Deslauriers \| Morale : 89 \| Team Overall : 72