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 43-25-10, 128pts	3	FINAL	2	Detroit Red Wings 44-30-4, 126pts

Team Stats
L1	Streak	W1
25-9-5	Home Record	19-17-3
18-16-5	Away Record	25-13-1
5-4-1	Last 10 Games	5-3-2
2.64	Goals Per Game	2.82
2.56	Goals Against Per Game	2.47
14.15%	Power Play Percentage	17.79%
82.26%	Penalty Kill Percentage	81.40%

Detroit Red Wings
44-30-4, 126pts

FINAL

Columbus Blue Jackets
43-25-10, 128pts

Team Stats
W1	Streak	L1
19-17-3	Home Record	25-9-5
25-13-1	Away Record	18-16-5
5-3-2	Last 10 Games	5-4-1
2.82	Goals Per Game	2.64
2.47	Goals Against Per Game	2.56
17.79%	Power Play Percentage	14.15%
81.40%	Penalty Kill Percentage	82.26%

Team Leaders
	Goals Vincent Trocheck 29	Assists Evgeni Malkin 49

	Points Evgeni Malkin 75	Plus/Minus Evgeni Malkin 15

	Wins Mackenzie Blackwood 38	Save Percentage Mackenzie Blackwood 0.922

Team Stats
Goals For 206 2.64 GFG	Shots For 2440 31.28 Avg	Power Play Percentage 14.1% 44 GF	Offensive Zone Start 39.2%
Goals Against 200 2.56 GAA	Shots Against 2397 30.73 Avg	Penalty Kill Percentage 82.3%% 47 GA	Defensive Zone Start 38.2%

Team Info
	General Manager	Josh
	Division	Central Division
	Conference	Western Conference
	Captain	J.T. Miller
	Assistant #1	Hampus Lindholm
	Assistant #2	Justin Faulk
Arena Info
	Name	Nationwide Arena
	Capacity	18,000
	Attendance	17,008
	Season Tickets	7,200
Roster Info
	Pro Team	22
	Farm Team	31
	Contract Limit	53 / 250
	Prospects	68
Finance
	Year to Date Revenue	45,796,770$
	Year To Date Expenses	77,526,066$
	Estimated Season Revenue	0$
	Estimated Season Expenses	494,754$
	Current Bank Account	55,047,615$
	Projected Bank Account	54,527,094$

Show or Hide Column

Filter Tips

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

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Vincent Trocheck	0	X				95.70	85	45	91	97	60	93	93	82	96	87	87	77	84	77	69	0	40	80	0	28	1	7,000,000$
2	Marcus Foligno	0			X		99.00	92	70	87	80	82	97	98	84	85	85	82	73	81	79	78	0	40	79	0	30	3	3,000,000$
3	Carter Verhaeghe	0		X			99.00	63	40	75	90	70	86	86	83	69	82	90	70	84	75	64	0	40	77	0	26	3	9,500,000$
4	Evgeni Malkin	0	X				99.00	61	42	77	82	70	84	85	88	97	86	84	64	82	88	77	0	40	77	0	35	1	8,500,000$
5	Johnny Gaudreau	0			X		99.00	66	30	87	99	45	91	91	77	70	87	84	73	82	77	68	0	40	77	0	28	1	8,000,000$
6	Evgenii Dadonov	0		X			99.00	84	40	82	87	59	90	85	77	65	84	85	66	80	84	76	0	40	76	0	33	1	6,000,000$
7	Mason Marchment	0			X		100.00	91	50	64	74	85	78	86	84	58	82	77	71	78	76	73	0	40	75	0	27	2	1,650,000$
8	J.T. Miller (C)	0			X		100.00	80	52	78	76	80	87	83	76	78	80	73	72	75	77	87	0	40	74	0	29	1	3,000,000$
9	Ryan Strome	0	X				100.00	60	47	77	82	73	91	92	79	88	83	72	70	77	77	64	0	40	74	0	28	1	2,750,000$
10	Jonathan Drouin	0		X			100.00	59	50	87	84	70	83	83	78	70	80	80	69	76	76	66	0	40	74	0	27	2	1,650,000$
11	Tom Kuhnhackl	0		X			100.00	81	42	81	79	72	81	74	71	61	75	71	67	73	79	67	0	40	71	0	30	3	850,000$
12	Oscar Moller	0	X				100.00	63	45	79	83	60	80	76	70	83	71	71	63	70	84	69	0	40	69	0	33	2	1,140,000$
13	Justin Faulk (A)	0				X	100.00	90	52	95	90	82	98	98	77	52	81	78	76	78	79	86	0	40	80	0	30	1	7,760,000$
14	Matt Dumba	0				X	98.00	87	45	77	90	70	93	94	80	52	89	74	80	75	76	71	0	40	79	0	27	2	9,000,000$
15	Hampus Lindholm (A)	0				X	100.00	62	47	94	85	84	91	93	80	50	84	71	80	71	77	83	0	40	78	0	28	1	3,100,000$
16	Zach Werenski	0				X	99.00	58	47	88	88	88	94	97	80	50	86	72	80	72	70	80	0	40	78	0	24	1	4,110,000$
17	Simon Despres	0				X	100.00	98	47	73	73	92	87	88	76	50	79	68	77	67	79	75	0	40	77	0	30	2	2,500,500$
18	John Ramage	0				X	100.00	51	45	88	71	88	76	75	67	50	65	63	87	62	80	79	0	40	72	0	31	2	3,830,000$
Scratches
1	Ilya Mikheyev	0	X				89.76	59	42	87	80	72	80	74	76	78	75	70	74	73	76	68	0	40	71	0	27	2	3,200,000$
2	Fredrik Claesson	0				X	100.00	84	42	81	77	90	76	76	73	50	75	66	71	66	78	67	0	40	73	0	29	2	500,000$
Farm Team
1	Nils Hoglander (R)	0		X			98.00	59	40	85	91	61	84	84	73	73	77	75	74	77	63	58	0	40	73	0	21	2	1,000,000$
2	Mark Arcobello	0	X				96.52	82	35	85	88	47	79	79	72	82	79	70	61	76	84	76	0	40	71	0	33	1	1,500,000$
3	Chris Wagner	0			X		98.00	93	42	69	78	67	78	73	71	74	72	75	62	74	80	80	0	40	71	0	31	2	650,000$
4	Artem Anisimov	0	X				98.00	65	42	80	72	80	80	79	71	83	72	69	61	68	86	80	0	40	70	0	34	1	1,250,000$
5	Zach Hyman	0			X		100.00	81	47	74	71	82	79	77	64	67	66	66	72	65	79	81	0	40	69	0	30	1	830,000$
6	Brock McGinn	0			X		100.00	84	40	80	78	47	76	75	65	65	68	66	70	69	77	79	0	40	68	0	28	1	1,010,000$
7	Eric Robinson	0			X		100.00	81	45	80	73	75	77	76	62	66	65	66	72	66	76	71	0	40	68	0	27	2	1,330,000$
8	Sean Kuraly	0	X				100.00	87	50	69	66	82	79	82	64	84	68	66	65	66	78	75	0	40	68	0	29	4	625,000$
9	Michael Raffl	0		X			100.00	78	45	76	67	71	75	75	66	64	67	68	61	66	84	84	0	40	67	0	33	1	1,200,000$
10	Michael Sgarbossa	0	X				100.00	73	35	76	79	65	75	74	65	84	68	66	63	69	78	61	0	40	67	0	29	2	500,000$
11	Mackenzie MacEachern	0		X			98.46	81	42	70	74	73	73	72	64	60	66	66	70	67	77	68	0	40	67	0	28	1	1,330,000$
12	Kevin Roy	0		X			100.00	55	35	78	85	50	76	77	64	57	67	66	67	71	78	58	0	40	66	0	29	1	550,000$
13	Riley Stillman (R)	0				X	99.00	86	52	87	82	80	84	84	71	50	79	66	70	67	70	73	0	40	74	0	24	1	700,000$
14	Martin Marincin	0				X	98.00	64	52	71	67	92	80	82	71	50	74	66	69	64	79	70	0	40	70	0	30	2	1,030,000$
15	Jack Johnson	0				X	100.00	74	55	79	59	91	88	87	71	50	73	65	66	63	65	72	0	40	70	0	35	1	900,000$
16	Jamie Drysdale (R)	0				X	100.00	56	40	85	85	61	84	92	73	50	81	64	57	67	78	74	0	40	70	0	20	3	1,750,000$
17	Jon Merrill	0				X	100.00	62	45	78	70	80	80	80	70	50	72	64	68	62	79	78	0	40	69	0	30	2	930,000$
18	Chad Ruhwedel	0				X	100.00	60	42	88	77	64	75	75	66	50	70	60	68	62	82	83	0	40	68	0	32	1	500,000$
19	Dustin Boyd	0			X		100.00	66	40	82	76	61	76	71	74	69	73	74	60	72	88	75	0	40	69	0	35	1	1,600,000$
20	John Quenneville	0		X			50.32	78	42	83	74	79	75	74	63	77	61	64	67	67	75	80	0	40	67	0	26	1	700,000$
21	Stefan Noesen	0			X		100.00	72	45	71	69	86	72	68	60	57	61	65	66	63	78	78	0	40	66	0	29	2	500,000$
22	Cole Bardreau	0		X			100.00	75	40	70	75	61	68	67	62	65	64	63	70	65	77	58	0	40	65	0	28	1	1,300,000$
23	Marcus Sorensen	0		X			100.00	61	35	78	81	55	73	68	63	56	66	65	64	67	79	62	0	40	65	0	30	1	500,000$
24	Sam Carrick	0	X				100.00	80	65	77	65	62	66	68	60	68	61	61	66	61	79	72	0	40	63	0	30	3	1,000,000$
25	Andrei Zubarev	0				X	100.00	80	45	79	67	80	82	82	65	50	70	61	72	62	88	82	0	40	71	0	35	1	1,140,000$
26	J.J. Moser (R)	0				X	96.20	60	35	82	89	68	78	86	73	50	77	67	67	69	76	74	0	40	71	0	22	3	600,000$
27	Nick Seeler	0				X	100.00	58	55	64	74	64	74	74	64	50	67	60	69	60	78	72	0	40	67	0	29	4	625,000$

	TEAM AVERAGE						98.87	74	46	82	83	75	87	86	78	68	81	76	73	75	78	73	0	40	76

Show or Hide Column

Filter Tips

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

#	Goalie Name	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Mackenzie Blackwood	0	98.00	67	85	89	86	84	87	90	89	87	84	84	73	64	0	40	81	0	25	1	700,000$
2	Collin Delia	0	100.00	77	71	71	82	79	79	80	80	79	79	80	77	65	0	40	76	0	28	1	1,310,000$
Scratches
Farm Team
1	Aaron Dell	0	96.00	75	72	72	78	81	82	83	83	79	82	82	84	65	0	40	77	0	33	2	1,329,000$
2	Henrik Karlsson	0	100.00	73	66	69	88	73	78	78	75	70	78	75	99	71	0	40	75	0	39	1	500,000$
3	Jonas Johansson	0	100.00	70	65	75	88	74	74	75	77	72	74	71	75	57	0	40	72	0	26	3	1,330,000$
4	Dustin Tokarski	0	100.00	80	50	50	78	74	75	76	76	72	75	75	82	67	0	40	71	0	32	1	500,000$

	TEAM AVERAGE		99.00	72	78	80	84	82	83	85	85	83	82	82	75	65	0	40	79

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Column

Filter Tips

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

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Evgeni Malkin	Columbus Blue Jackets	C	78	26	49	75	15	67	15	76	143	258	93	166	10.08%	21	1458	18.70	4	13	17	29	240	0	0	0	1	38	6	4	54.75%	1567	44	25	0	0	1.03	2	6	0	2	1	6	5	3
2	Vincent Trocheck	Columbus Blue Jackets	C	73	29	34	63	5	11	5	135	181	257	76	132	11.28%	22	1501	20.57	12	13	25	43	227	0	1	1	8	163	6	2	53.78%	1681	61	30	0	2	0.84	2	5	0	0	1	5	4	2
3	Johnny Gaudreau	Columbus Blue Jackets	RW	77	27	26	53	6	48	0	81	86	260	91	146	10.38%	31	1462	18.99	10	11	21	38	231	0	0	0	3	82	4	3	46.74%	92	83	19	1	0	0.72	1	6	0	0	0	2	3	3
4	Jonathan Drouin	Columbus Blue Jackets	LW	78	24	26	50	13	37	15	45	74	186	61	114	12.90%	25	1191	15.28	5	4	9	12	114	0	0	0	0	65	7	2	47.69%	65	42	28	0	0	0.84	0	2	2	0	1	4	1	8
5	Matt Dumba	Columbus Blue Jackets	D	73	7	33	40	14	81	25	198	124	136	62	67	5.15%	104	1881	25.77	3	2	5	24	260	0	0	0	4	203	1	1	0.00%	0	44	69	1	0	0.43	0	0	1	0	4	2	3	4
6	Mason Marchment	Columbus Blue Jackets	RW	78	19	21	40	8	104	20	218	93	181	43	119	10.50%	41	1309	16.78	7	3	10	17	176	1	0	1	2	84	3	1	39.13%	69	27	26	0	0	0.61	0	2	1	2	1	1	3	3
7	Marcus Foligno	Columbus Blue Jackets	RW	77	16	23	39	-2	48	20	163	111	155	50	96	10.32%	32	1542	20.03	1	5	6	22	214	0	1	1	1	105	3	0	47.03%	387	43	27	0	1	0.51	0	1	1	0	3	4	3	0
8	Carter Verhaeghe	Columbus Blue Jackets	LW	52	15	24	39	-2	45	5	58	55	170	46	99	8.82%	15	970	18.66	4	9	13	24	178	0	0	0	4	33	3	2	41.82%	55	49	20	0	0	0.80	2	4	0	1	0	3	1	0
9	Evgenii Dadonov	Columbus Blue Jackets	LW	78	19	13	32	-8	22	0	148	78	202	59	116	9.41%	22	1409	18.07	3	4	7	23	208	1	0	1	6	99	4	2	36.62%	71	54	19	1	0	0.45	1	5	0	0	0	1	4	3
10	Ryan Strome	Columbus Blue Jackets	C	78	10	22	32	-9	66	10	63	97	169	56	104	5.92%	28	1167	14.96	1	5	6	7	114	1	1	2	3	49	3	2	50.16%	961	27	24	0	0	0.55	1	2	1	0	1	1	1	1
11	Justin Faulk	Columbus Blue Jackets	D	77	4	27	31	-9	14	10	144	137	122	44	50	3.28%	84	1786	23.21	3	10	13	22	302	0	1	1	1	153	1	1	100.00%	1	40	54	0	0	0.35	0	0	0	1	1	2	0	2
12	Hampus Lindholm	Columbus Blue Jackets	D	78	2	25	27	-4	5	5	40	150	95	38	46	2.11%	94	1848	23.70	0	7	7	10	247	0	1	1	1	166	1	0	0.00%	0	32	61	0	0	0.29	0	0	0	0	1	0	0	2
13	J.T. Miller	Columbus Blue Jackets	RW	73	10	16	26	7	53	5	95	68	117	34	71	8.55%	24	980	13.43	0	1	1	3	20	1	0	1	5	90	0	1	40.48%	42	31	16	0	0	0.53	0	0	0	0	1	1	2	0
14	Ilya Mikheyev	Columbus Blue Jackets	C	74	15	11	26	9	9	5	29	95	137	39	65	10.95%	32	976	13.19	0	0	0	0	15	0	1	1	3	204	1	2	47.89%	710	24	17	0	1	0.53	0	1	0	1	0	2	1	2
15	Simon Despres	Columbus Blue Jackets	D	78	2	17	19	4	61	5	189	109	59	24	30	3.39%	83	1527	19.58	2	3	5	7	168	0	0	0	1	166	0	0	0.00%	1	7	54	0	0	0.25	0	0	0	0	1	0	2	2
16	Zach Werenski	Columbus Blue Jackets	D	72	1	14	15	7	18	0	30	101	82	32	24	1.22%	62	1440	20.00	0	2	2	2	133	0	0	0	0	130	0	0	0.00%	0	24	47	0	0	0.21	0	0	0	0	0	0	0	1
17	John Ramage	Columbus Blue Jackets	D	76	0	11	11	14	20	10	18	111	45	21	35	0.00%	80	1365	17.97	0	0	0	1	27	0	0	0	3	213	0	0	0.00%	0	6	60	0	0	0.16	0	0	2	0	0	0	1	0
18	Tom Kuhnhackl	Columbus Blue Jackets	LW	77	5	6	11	0	20	0	78	47	99	35	56	5.05%	17	764	9.93	0	0	0	0	0	0	0	0	0	0	2	0	33.33%	27	21	15	0	0	0.29	0	0	0	0	0	0	1	2
19	Fredrik Claesson	Columbus Blue Jackets	D	53	0	8	8	6	20	0	68	42	25	14	18	0.00%	38	761	14.37	0	0	0	0	44	0	0	0	0	38	0	0	0.00%	0	16	20	0	0	0.21	0	0	0	0	0	0	0	1
20	Andrei Zubarev	Cleveland Monsters (CBJ)	D	37	2	5	7	-5	41	5	50	45	26	12	13	7.69%	27	588	15.91	0	0	0	0	51	0	0	0	0	26	0	0	0.00%	1	4	16	1	0	0.24	0	0	0	0	1	0	0	1
21	Oscar Moller	Columbus Blue Jackets	C	43	3	2	5	0	6	0	20	24	48	15	27	6.25%	6	339	7.89	0	0	0	0	2	0	0	0	1	4	1	0	46.09%	128	8	7	0	0	0.29	0	0	0	0	0	0	0	0
22	Jon Merrill	Cleveland Monsters (CBJ)	D	23	0	2	2	0	8	0	8	27	7	3	5	0.00%	25	319	13.91	0	0	0	0	3	0	0	0	0	3	0	0	0.00%	0	1	6	0	0	0.13	0	0	0	0	0	0	0	0
23	Dustin Boyd	Cleveland Monsters (CBJ)	RW	2	0	0	0	-1	0	0	1	0	1	0	0	0.00%	1	9	4.70	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00%	0	0	0	0	0	0	0	0
24	Chad Ruhwedel	Cleveland Monsters (CBJ)	D	6	0	0	0	1	0	0	3	4	6	0	3	0.00%	1	75	12.60	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	2	0	0	0.00%	0	0	0	0	0	0	0	0
Team Total or Average				1511	236	415	651	69	804	160	1958	2002	2843	948	1602	8.30%	915	26677	17.66	55	92	147	284	2984	4	6	10	47	2125	46	23	51.25%	5858	688	662	4	4	0.49	9	34	8	7	17	34	35	40

Show or Hide Column

Filter Tips

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

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Mackenzie Blackwood	Columbus Blue Jackets	71	38	23	10	0.922	2.38	4290	6	1	170	2173	1012	4	3	0.545	22	71	7	14	5	8
2	Collin Delia	Columbus Blue Jackets	1	0	0	0	0.800	6.67	18	0	0	2	10	5	0	0	0.00%	0	0	13	0	0	0
Team Total or Average			72	38	23	10	0.921	2.40	4308	6	1	172	2183	1017	4	3		22	71	20	14	5	8

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Waiver Possible	Contract	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Link
Carter Verhaeghe (1 Way Contract)	Columbus Blue Jackets	LW	26	8/14/1995	No	180 Lbs	6 ft2	No	No	No	No	3	Pro & Farm	9,500,000$	52,486$	0$	0$	No	9,500,000$	9,500,000$	Link / NHL Link
Collin Delia	Columbus Blue Jackets	G	28	6/20/1994	No	208 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	1,310,000$	7,238$	0$	0$	No			Link / NHL Link
Evgeni Malkin (1 Way Contract)	Columbus Blue Jackets	C	35	7/31/1986	No	195 Lbs	6 ft3	No	No	No	No	1	Pro & Farm	8,500,000$	46,961$	0$	0$	No			Link / NHL Link
Evgenii Dadonov (1 Way Contract)	Columbus Blue Jackets	LW	33	3/12/1989	No	185 Lbs	5 ft11	No	No	No	No	1	Pro & Farm	6,000,000$	33,149$	0$	0$	No			Link / NHL Link
Fredrik Claesson	Columbus Blue Jackets	D	29	11/24/1992	No	196 Lbs	6 ft1	No	No	No	No	2	Pro & Farm	500,000$	2,762$	0$	0$	No	500,000$		Link / NHL Link
Hampus Lindholm (1 Way Contract)	Columbus Blue Jackets	D	28	1/20/1994	No	213 Lbs	6 ft4	No	No	No	No	1	Pro & Farm	3,100,000$	17,127$	0$	0$	No			Link / NHL Link
Ilya Mikheyev (1 Way Contract)	Columbus Blue Jackets	C	27	10/10/1994	No	192 Lbs	6 ft2	No	No	No	No	2	Pro & Farm	3,200,000$	17,680$	0$	0$	No	3,200,000$		Link / NHL Link
J.T. Miller (1 Way Contract)	Columbus Blue Jackets	RW	29	3/14/1993	No	218 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	3,000,000$	16,575$	0$	0$	No			Link / NHL Link
John Ramage (1 Way Contract)	Columbus Blue Jackets	D	31	2/7/1991	No	201 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	3,830,000$	21,160$	0$	0$	No	3,830,000$		Link
Johnny Gaudreau (1 Way Contract)	Columbus Blue Jackets	RW	28	8/13/1993	No	165 Lbs	5 ft9	No	No	No	No	1	Pro & Farm	8,000,000$	44,199$	0$	0$	No			Link / NHL Link
Jonathan Drouin	Columbus Blue Jackets	LW	27	3/28/1995	No	203 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	1,650,000$	9,116$	0$	0$	No	1,650,000$		Link / NHL Link
Justin Faulk	Columbus Blue Jackets	D	30	3/20/1992	No	214 Lbs	6 ft0	No	No	No	No	1	Pro & Farm	7,760,000$	42,873$	0$	0$	No			Link / NHL Link
Mackenzie Blackwood	Columbus Blue Jackets	G	25	12/9/1996	No	225 Lbs	6 ft4	No	No	No	No	1	Pro & Farm	700,000$	3,867$	0$	0$	No			Link / NHL Link
Marcus Foligno (1 Way Contract)	Columbus Blue Jackets	RW	30	8/10/1991	No	226 Lbs	6 ft3	No	No	No	No	3	Pro & Farm	3,000,000$	16,575$	0$	0$	No	3,000,000$	3,000,000$	Link / NHL Link
Mason Marchment	Columbus Blue Jackets	RW	27	6/18/1995	No	209 Lbs	6 ft4	No	No	No	No	2	Pro & Farm	1,650,000$	9,116$	0$	0$	No	1,650,000$		Link / NHL Link
Matt Dumba (1 Way Contract)	Columbus Blue Jackets	D	27	7/25/1994	No	181 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	9,000,000$	49,724$	0$	0$	No	9,000,000$		Link / NHL Link
Oscar Moller	Columbus Blue Jackets	C	33	1/22/1989	No	189 Lbs	5 ft10	No	No	No	No	2	Pro & Farm	1,140,000$	6,298$	0$	0$	No	1,140,000$		Link
Ryan Strome	Columbus Blue Jackets	C	28	7/11/1993	No	191 Lbs	6 ft1	No	No	No	No	1	Pro & Farm	2,750,000$	15,193$	0$	0$	No			Link / NHL Link
Simon Despres	Columbus Blue Jackets	D	30	7/27/1991	No	218 Lbs	6 ft4	No	No	No	No	2	Pro & Farm	2,500,500$	13,815$	0$	0$	No	2,500,500$		Link
Tom Kuhnhackl	Columbus Blue Jackets	LW	30	1/21/1992	No	196 Lbs	6 ft2	No	No	No	No	3	Pro & Farm	850,000$	4,696$	0$	0$	No	850,000$	850,000$	Link
Vincent Trocheck (1 Way Contract)	Columbus Blue Jackets	C	28	7/11/1993	No	183 Lbs	5 ft10	No	No	No	No	1	Pro & Farm	7,000,000$	38,674$	0$	0$	No			Link / NHL Link
Zach Werenski (1 Way Contract)	Columbus Blue Jackets	D	24	7/19/1997	No	213 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	4,110,000$	22,707$	0$	0$	No			Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
22	28.77	200 Lbs	6 ft1	1.64	4,047,750$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
89,050,500$	36,820,500$	13,350,000$	0$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Carter Verhaeghe	Evgeni Malkin	Marcus Foligno	30	0	1	4
2	Evgenii Dadonov	Vincent Trocheck	Johnny Gaudreau	30	0	0	5
3	Jonathan Drouin	Ryan Strome	J.T. Miller	25	0	2	3
4	Tom Kuhnhackl	Oscar Moller	Mason Marchment	15	0	2	3

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Dumba	Zach Werenski	40	0	3	2
2	Hampus Lindholm	John Ramage	34	0	3	2
3	Justin Faulk	Simon Despres	26	0	4	1
4	Matt Dumba	Justin Faulk	0	0	1	4

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Carter Verhaeghe	Vincent Trocheck	Johnny Gaudreau	58	0	0	5
2	Evgenii Dadonov	Evgeni Malkin	Marcus Foligno	42	0	0	5

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Dumba	Justin Faulk	55	0	0	5
2	Zach Werenski	Hampus Lindholm	45	0	0	5

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vincent Trocheck	Marcus Foligno	55	1	4	0
2	Ryan Strome	J.T. Miller	45	1	4	0

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	John Ramage	Matt Dumba	55	0	5	0
2	Simon Despres	Zach Werenski	45	0	5	0

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Vincent Trocheck	55	1	4	0	John Ramage	Matt Dumba	55	1	4	0
2	Marcus Foligno	45	1	4	0	Zach Werenski	Simon Despres	45	1	4	0

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Vincent Trocheck	Marcus Foligno	52	0	0	5
2	Evgeni Malkin	Carter Verhaeghe	48	0	0	5

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Matt Dumba	Justin Faulk	60	0	2	3
2	Zach Werenski	Hampus Lindholm	40	0	2	3

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Carter Verhaeghe	Vincent Trocheck	Johnny Gaudreau	Justin Faulk	Matt Dumba

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Marcus Foligno	Vincent Trocheck	J.T. Miller	John Ramage	Matt Dumba

Extra Forwards
Normal	PowerPlay	Penalty Kill
Vincent Trocheck, Marcus Foligno, Carter Verhaeghe	Johnny Gaudreau, Carter Verhaeghe	Johnny Gaudreau

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Matt Dumba, Justin Faulk, Zach Werenski	Matt Dumba	John Ramage, Matt Dumba

Penalty Shots
Vincent Trocheck, Carter Verhaeghe, Evgeni Malkin, Johnny Gaudreau, Marcus Foligno

Goalie
#1 : Mackenzie Blackwood, #2 : Collin Delia

Custom OT Lines Forwards
Vincent Trocheck, Evgeni Malkin, Marcus Foligno, Carter Verhaeghe, Johnny Gaudreau, Evgenii Dadonov, Evgenii Dadonov, Jonathan Drouin, J.T. Miller, Mason Marchment, Tom Kuhnhackl

Custom OT Lines Defensemen
Matt Dumba, Justin Faulk, Zach Werenski, Hampus Lindholm, Simon Despres

Show or Hide Column

Filter Tips

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

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Anaheim Mighty Ducks	2	1	0	0	1	0	0	0	9	6	3	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	1	0	0	0	4	3	1	5	0.833	9	13	22	0	0	2	4	2	1	82	32	28	21	1	64	15	12	48	12	3	25.00%	6	2	66.67%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	48	28	38	19	36	18
2	Boston Bruins	2	0	1	0	1	0	0	0	3	5	-2	1	0	0	0	1	0	0	0	2	1	1	1	0	1	0	0	0	0	0	1	4	-3	2	0.333	3	5	8	0	0	1	1	0	1	65	23	25	14	3	58	17	16	39	6	0	0.00%	8	0	100.00%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	46	26	40	18	36	18
3	Carolina Hurricanes	4	2	2	0	0	0	0	0	11	12	-1	2	2	0	0	0	0	0	0	9	5	4	2	0	2	0	0	0	0	0	2	7	-5	6	0.500	11	17	28	1	0	5	2	4	0	117	30	57	30	0	109	36	32	91	14	0	0.00%	16	4	75.00%	1	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	90	53	79	36	69	34
4	Chicago Blackhawks	6	3	1	0	0	1	0	1	12	13	-1	3	2	1	0	0	0	0	0	7	8	-1	3	1	0	0	0	1	0	1	5	5	0	11	0.611	12	22	34	0	0	3	7	2	3	180	60	72	43	10	178	48	43	132	19	4	21.05%	19	4	78.95%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	129	74	131	56	107	53
5	Colorado Avalanche	6	2	2	0	2	0	0	0	17	18	-1	3	0	1	0	2	0	0	0	8	11	-3	3	2	1	0	0	0	0	0	9	7	2	10	0.556	17	30	47	0	0	4	5	6	2	194	69	63	59	3	187	49	49	127	20	1	5.00%	17	3	82.35%	1	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	126	72	135	54	102	51
6	Dallas Stars	2	2	0	0	0	0	0	0	5	2	3	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	2	1	1	6	1.000	5	9	14	0	0	0	2	3	0	76	29	33	14	0	60	26	12	41	8	2	25.00%	6	1	83.33%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	45	26	40	16	34	18
7	Detroit Red Wings	6	3	2	0	1	0	0	0	16	17	-1	3	1	2	0	0	0	0	0	8	13	-5	3	2	0	0	1	0	0	0	8	4	4	11	0.611	16	29	45	0	0	3	8	4	1	196	58	78	58	2	198	57	40	153	19	4	21.05%	15	3	80.00%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	133	82	127	49	100	50
8	Edmonton Oilers	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	1	3	-2	1	0	1	0	0	0	0	0	3	6	-3	0	0.000	4	8	12	1	0	1	1	2	0	69	29	20	20	0	64	18	33	44	9	0	0.00%	9	2	77.78%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	42	24	43	18	33	16
9	Florida Panthers	4	4	0	0	0	0	0	0	19	11	8	2	2	0	0	0	0	0	0	9	6	3	2	2	0	0	0	0	0	0	10	5	5	12	1.000	19	31	50	0	0	6	5	8	0	125	40	38	47	0	116	34	30	97	27	7	25.93%	10	3	70.00%	1	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	87	49	82	37	70	35
10	Hamilton Mustangs	2	0	1	0	0	0	1	0	4	5	-1	1	0	0	0	0	0	1	0	4	3	1	1	0	1	0	0	0	0	0	0	2	-2	2	0.333	4	5	9	0	0	1	0	2	2	56	10	20	18	11	75	29	12	43	3	0	0.00%	6	1	83.33%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	36	21	53	18	34	15
11	Los Angeles Kings	2	0	1	0	1	0	0	0	4	4	0	1	0	0	0	1	0	0	0	2	1	1	1	0	1	0	0	0	0	0	2	3	-1	2	0.333	4	7	11	0	0	0	2	1	1	65	26	16	20	3	58	18	11	60	12	1	8.33%	3	0	100.00%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	49	29	38	17	34	18
12	Minnesota Wild	6	3	2	0	1	0	0	0	12	10	2	3	2	0	0	1	0	0	0	8	4	4	3	1	2	0	0	0	0	0	4	6	-2	11	0.611	12	22	34	0	1	3	5	3	1	182	73	51	53	5	186	70	36	131	30	3	10.00%	18	1	94.44%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	128	73	133	54	103	52
13	Montreal Canadiens	2	0	2	0	0	0	0	0	1	7	-6	1	0	1	0	0	0	0	0	0	3	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	1	0	0	0	47	19	18	10	0	70	19	16	37	7	0	0.00%	8	2	75.00%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	39	21	46	17	34	16
14	New York Islanders	4	0	3	0	1	0	0	0	5	9	-4	2	0	2	0	0	0	0	0	2	5	-3	2	0	1	0	1	0	0	0	3	4	-1	2	0.167	5	8	13	1	0	0	3	1	1	113	30	39	43	1	121	45	57	79	16	0	0.00%	16	3	81.25%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	82	45	86	38	71	35
15	New York Rangers	4	3	1	0	0	0	0	0	12	7	5	2	2	0	0	0	0	0	0	6	2	4	2	1	1	0	0	0	0	0	6	5	1	9	0.750	12	20	32	0	0	2	3	7	0	120	28	47	45	0	132	41	29	89	17	2	11.76%	12	2	83.33%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	85	50	88	35	66	33
16	Philadelphia Flyers	4	2	1	0	0	1	0	0	16	14	2	2	1	1	0	0	0	0	0	7	6	1	2	1	0	0	0	1	0	0	9	8	1	7	0.583	16	26	42	0	0	4	3	9	0	138	43	41	54	0	119	35	35	85	11	2	18.18%	15	0	100.00%	1	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	87	51	84	36	68	32
17	Pittsburgh Penguins	2	0	1	0	0	0	0	1	4	6	-2	1	0	0	0	0	0	0	1	1	2	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.167	4	8	12	0	0	1	2	1	0	64	25	23	15	7	64	32	19	40	6	1	16.67%	7	2	71.43%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	42	25	47	18	35	17
18	Quebec Nordiques	2	0	1	0	0	1	0	0	4	6	-2	1	0	0	0	0	1	0	0	1	2	-1	1	0	1	0	0	0	0	0	3	4	-1	1	0.167	4	7	11	0	0	1	0	3	0	70	17	26	24	3	64	24	23	42	5	1	20.00%	8	2	75.00%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	42	25	46	20	34	15
19	Seattle Kraken	2	1	0	0	0	0	0	1	6	5	1	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	0	0	1	1	2	-1	4	0.667	6	8	14	0	0	2	0	4	1	51	18	15	18	3	60	16	41	53	9	2	22.22%	8	1	87.50%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	41	21	46	19	36	18
20	St Louis Blues	6	2	1	0	1	1	0	1	16	17	-1	3	1	0	0	0	1	0	1	6	7	-1	3	1	1	0	1	0	0	0	10	10	0	10	0.556	16	25	41	0	0	3	7	5	1	193	63	66	59	9	185	61	80	156	30	6	20.00%	25	6	76.00%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	135	75	125	53	106	55
21	Tampa Bay Lightning	4	2	0	0	0	1	0	1	13	9	4	2	1	0	0	0	1	0	0	6	6	0	2	1	0	0	0	0	0	1	7	3	4	8	0.667	13	22	35	0	0	1	5	7	0	118	34	37	44	6	121	46	43	86	17	1	5.88%	15	3	80.00%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	84	47	89	37	72	36
22	Toronto Maple Leafs	2	1	1	0	0	0	0	0	5	5	0	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	3	-2	3	0.500	5	7	12	0	0	4	1	0	0	58	25	18	15	0	52	26	25	47	7	2	28.57%	10	1	90.00%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	41	21	42	19	36	16
23	Vegas Golden Knights	2	1	0	0	1	0	0	0	8	3	5	1	0	0	0	1	0	0	0	3	2	1	1	1	0	0	0	0	0	0	5	1	4	5	0.833	8	15	23	0	0	4	2	1	1	61	24	18	18	1	56	26	41	51	7	2	28.57%	8	1	87.50%	0	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	46	26	41	19	36	17
	Total	78	32	25	0	10	5	1	5	206	200	6	39	18	9	0	6	3	1	2	107	99	8	39	14	16	0	4	2	0	3	99	101	-2	128	0.547	206	346	552	3	1	52	68	75	16	2440	805	849	742	68	2397	788	735	1771	311	44	14.15%	265	47	82.26%	4	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	1692	973	1689	714	1362	680
	_Since Last GM Reset	78	32	25	0	10	5	1	5	206	200	6	39	18	9	0	6	3	1	2	107	99	8	39	14	16	0	4	2	0	3	99	101	-2	128	0.547	206	346	552	3	1	52	68	75	16	2440	805	849	742	68	2397	788	735	1771	311	44	14.15%	265	47	82.26%	4	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	1692	973	1689	714	1362	680
	_Vs Conference	42	18	11	0	8	2	0	3	109	104	5	21	9	5	0	5	1	0	1	56	56	0	21	9	6	0	3	1	0	2	53	48	5	75	0.595	109	188	297	1	1	25	43	33	12	1349	481	460	383	37	1296	404	398	996	175	28	16.00%	134	24	82.09%	1	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	925	535	902	378	733	371
	_Vs Division	30	13	8	0	5	2	0	2	73	75	-2	15	6	4	0	3	1	0	1	37	43	-6	15	7	4	0	2	1	0	1	36	32	4	53	0.589	73	128	201	0	1	16	32	20	8	945	323	330	272	29	934	285	248	699	118	18	15.25%	94	17	81.91%	1	977	1842	53.04%	919	1795	51.20%	547	1056	51.80%	653	377	653	268	520	263

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
78	128	L1	206	346	552	2440	2397	788	735	1771	3	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
78	32	25	10	5	1	5	206	200

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	18	9	6	3	1	2	107	99

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
39	14	16	4	2	0	3	99	101

Last 10 Games
W	L	OTW	OTL	SOW	SOL
5	4	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
311	44	14.15%	265	47	82.26%	4

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
805	849	742	68	52	68	75	16

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
977	1842	53.04%	919	1795	51.20%	547	1056	51.80%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1692	973	1689	714	1362	680

Last Played Games Show or Hide Column

Filter Tips

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

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	Link
2 - 2022-12-30	8	Colorado Avalanche	3	Columbus Blue Jackets	4	BW	X		BoxScore
4 - 2023-01-01	24	Columbus Blue Jackets	1	Chicago Blackhawks	2	AL	X	X	BoxScore
6 - 2023-01-03	31	Columbus Blue Jackets	3	St Louis Blues	5	AL			BoxScore
8 - 2023-01-05	47	Columbus Blue Jackets	2	Detroit Red Wings	1	AW			BoxScore
10 - 2023-01-07	51	Philadelphia Flyers	4	Columbus Blue Jackets	3	BL			BoxScore
13 - 2023-01-10	70	Columbus Blue Jackets	6	Tampa Bay Lightning	1	AW			BoxScore
17 - 2023-01-14	90	New York Islanders	2	Columbus Blue Jackets	1	BL			BoxScore
18 - 2023-01-15	96	Columbus Blue Jackets	3	New York Islanders	2	AW	X		BoxScore
20 - 2023-01-17	105	Minnesota Wild	0	Columbus Blue Jackets	2	BW			BoxScore
22 - 2023-01-19	120	Chicago Blackhawks	1	Columbus Blue Jackets	2	BW			BoxScore
24 - 2023-01-21	132	Columbus Blue Jackets	1	Minnesota Wild	3	AL			BoxScore
26 - 2023-01-23	142	St Louis Blues	1	Columbus Blue Jackets	2	BW			BoxScore
28 - 2023-01-25	152	Detroit Red Wings	4	Columbus Blue Jackets	2	BL			BoxScore
30 - 2023-01-27	164	Columbus Blue Jackets	5	Colorado Avalanche	4	AW			BoxScore
32 - 2023-01-29	179	Colorado Avalanche	1	Columbus Blue Jackets	2	BW	X		BoxScore
34 - 2023-01-31	189	Columbus Blue Jackets	1	Chicago Blackhawks	2	AL	X		BoxScore
36 - 2023-02-02	201	Columbus Blue Jackets	2	Minnesota Wild	1	AW			BoxScore
38 - 2023-02-04	214	Columbus Blue Jackets	4	St Louis Blues	3	AW	X		BoxScore
40 - 2023-02-06	227	Columbus Blue Jackets	3	Detroit Red Wings	1	AW			BoxScore
42 - 2023-02-08	237	Minnesota Wild	3	Columbus Blue Jackets	4	BW			BoxScore
44 - 2023-02-10	243	Dallas Stars	1	Columbus Blue Jackets	3	BW			BoxScore
47 - 2023-02-13	255	Columbus Blue Jackets	5	Vegas Golden Knights	1	AW			BoxScore
50 - 2023-02-16	267	Columbus Blue Jackets	1	Montreal Canadiens	4	AL			BoxScore
53 - 2023-02-19	279	Toronto Maple Leafs	2	Columbus Blue Jackets	4	BW			BoxScore
58 - 2023-02-24	299	Columbus Blue Jackets	3	Quebec Nordiques	4	AL			BoxScore
60 - 2023-02-26	311	Hamilton Mustangs	3	Columbus Blue Jackets	4	BW	X	X	BoxScore
63 - 2023-03-01	320	Colorado Avalanche	7	Columbus Blue Jackets	2	BL			BoxScore
64 - 2023-03-02	329	Columbus Blue Jackets	1	Colorado Avalanche	2	AL			BoxScore
66 - 2023-03-04	341	Columbus Blue Jackets	1	Boston Bruins	4	AL			BoxScore
68 - 2023-03-06	353	Pittsburgh Penguins	2	Columbus Blue Jackets	1	BL	X	X	BoxScore
70 - 2023-03-08	365	Seattle Kraken	3	Columbus Blue Jackets	5	BW			BoxScore
72 - 2023-03-10	377	Columbus Blue Jackets	4	Anaheim Mighty Ducks	3	AW	X		BoxScore
74 - 2023-03-12	389	Los Angeles Kings	1	Columbus Blue Jackets	2	BW	X		BoxScore
76 - 2023-03-14	401	Columbus Blue Jackets	3	Edmonton Oilers	6	AL			BoxScore
79 - 2023-03-17	412	Columbus Blue Jackets	5	Philadelphia Flyers	6	AL	X		BoxScore
81 - 2023-03-19	424	Tampa Bay Lightning	3	Columbus Blue Jackets	4	BW			BoxScore
83 - 2023-03-21	433	New York Rangers	1	Columbus Blue Jackets	4	BW			BoxScore
85 - 2023-03-23	447	Florida Panthers	5	Columbus Blue Jackets	6	BW			BoxScore
87 - 2023-03-25	461	Columbus Blue Jackets	5	New York Rangers	2	AW			BoxScore
89 - 2023-03-27	472	Columbus Blue Jackets	1	Carolina Hurricanes	4	AL			BoxScore
93 - 2023-03-31	486	Chicago Blackhawks	3	Columbus Blue Jackets	4	BW			BoxScore
96 - 2023-04-03	497	Detroit Red Wings	2	Columbus Blue Jackets	3	BW			BoxScore
100 - 2023-04-07	515	Carolina Hurricanes	2	Columbus Blue Jackets	4	BW			BoxScore
103 - 2023-04-10	532	Philadelphia Flyers	2	Columbus Blue Jackets	4	BW			BoxScore
104 - 2023-04-11	538	Columbus Blue Jackets	4	Philadelphia Flyers	2	AW			BoxScore
106 - 2023-04-13	548	Columbus Blue Jackets	1	Tampa Bay Lightning	2	AL	X	X	BoxScore
109 - 2023-04-16	559	Columbus Blue Jackets	5	Florida Panthers	3	AW			BoxScore
112 - 2023-04-19	575	Columbus Blue Jackets	3	Pittsburgh Penguins	4	AL			BoxScore
114 - 2023-04-21	587	Anaheim Mighty Ducks	3	Columbus Blue Jackets	5	BW			BoxScore
116 - 2023-04-23	599	Boston Bruins	1	Columbus Blue Jackets	2	BW	X		BoxScore
118 - 2023-04-25	604	St Louis Blues	4	Columbus Blue Jackets	3	BL	X		BoxScore
120 - 2023-04-27	614	Columbus Blue Jackets	1	Carolina Hurricanes	3	AL			BoxScore
123 - 2023-04-30	629	Columbus Blue Jackets	1	New York Rangers	3	AL			BoxScore
126 - 2023-05-03	641	Florida Panthers	1	Columbus Blue Jackets	3	BW			BoxScore
128 - 2023-05-05	651	Carolina Hurricanes	3	Columbus Blue Jackets	5	BW			BoxScore
130 - 2023-05-07	666	Minnesota Wild	1	Columbus Blue Jackets	2	BW	X		BoxScore
133 - 2023-05-10	683	Columbus Blue Jackets	2	Dallas Stars	1	AW			BoxScore
135 - 2023-05-12	695	Vegas Golden Knights	2	Columbus Blue Jackets	3	BW	X		BoxScore
137 - 2023-05-14	707	Montreal Canadiens	3	Columbus Blue Jackets	0	BL			BoxScore
139 - 2023-05-16	719	Columbus Blue Jackets	2	Los Angeles Kings	3	AL			BoxScore
140 - 2023-05-17	725	Quebec Nordiques	2	Columbus Blue Jackets	1	BL	X		BoxScore
142 - 2023-05-19	737	Columbus Blue Jackets	1	Toronto Maple Leafs	3	AL			BoxScore
145 - 2023-05-22	755	Columbus Blue Jackets	0	Hamilton Mustangs	2	AL			BoxScore
147 - 2023-05-24	767	Columbus Blue Jackets	1	Seattle Kraken	2	AL	X	X	BoxScore
148 - 2023-05-25	773	Edmonton Oilers	3	Columbus Blue Jackets	1	BL			BoxScore
151 - 2023-05-28	784	New York Rangers	1	Columbus Blue Jackets	2	BW			BoxScore
154 - 2023-05-31	794	Tampa Bay Lightning	3	Columbus Blue Jackets	2	BL	X		BoxScore
158 - 2023-06-04	810	Columbus Blue Jackets	0	New York Islanders	2	AL			BoxScore
160 - 2023-06-06	819	Columbus Blue Jackets	5	Florida Panthers	2	AW			BoxScore
162 - 2023-06-08	834	New York Islanders	3	Columbus Blue Jackets	1	BL			BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
165 - 2023-06-11	846	Chicago Blackhawks	4	Columbus Blue Jackets	1	BL			BoxScore
166 - 2023-06-12	852	Columbus Blue Jackets	3	Chicago Blackhawks	1	AW			BoxScore
169 - 2023-06-15	867	Columbus Blue Jackets	1	Minnesota Wild	2	AL			BoxScore
171 - 2023-06-17	880	Columbus Blue Jackets	3	St Louis Blues	2	AW			BoxScore
172 - 2023-06-18	886	St Louis Blues	2	Columbus Blue Jackets	1	BL	X	X	BoxScore
177 - 2023-06-23	908	Columbus Blue Jackets	3	Colorado Avalanche	1	AW			BoxScore
179 - 2023-06-25	917	Columbus Blue Jackets	3	Detroit Red Wings	2	AW	X		BoxScore
180 - 2023-06-26	929	Detroit Red Wings	7	Columbus Blue Jackets	3	BL			BoxScore

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	5940	4860	1980	3960	1260
Ticket Price	95	55	35	25	190
Attendance	220,042	178,771	71,430	146,201	46,870
Attendance PCT	94.98%	94.32%	92.50%	94.67%	95.38%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	17008 - 94.49%	1,174,276$	45,796,770$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
77,526,066$	89,550,500$	89,550,500$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	77,526,066$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	1	494,754$	494,754$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
520,521$	55,047,615$	54,527,094$

Depth Chart

Left Wing

Center

Right Wing

Carter Verhaeghe	AGE:26	PO:0	OV:77
Evgenii Dadonov	AGE:33	PO:0	OV:76
Jonathan Drouin	AGE:27	PO:0	OV:74
Nils Hoglander (R)	AGE:21	PO:0	OV:73
Tom Kuhnhackl	AGE:30	PO:0	OV:71
John Quenneville	AGE:26	PO:0	OV:67
Michael Raffl	AGE:33	PO:0	OV:67
Mackenzie MacEachern	AGE:28	PO:0	OV:67
Kevin Roy	AGE:29	PO:0	OV:66
Cole Bardreau	AGE:28	PO:0	OV:65
Marcus Sorensen	AGE:30	PO:0	OV:65

Vincent Trocheck	AGE:28	PO:0	OV:80
Evgeni Malkin	AGE:35	PO:0	OV:77
Ryan Strome	AGE:28	PO:0	OV:74
Ilya Mikheyev	AGE:27	PO:0	OV:71
Mark Arcobello	AGE:33	PO:0	OV:71
Artem Anisimov	AGE:34	PO:0	OV:70
Oscar Moller	AGE:33	PO:0	OV:69
Sean Kuraly	AGE:29	PO:0	OV:68
Michael Sgarbossa	AGE:29	PO:0	OV:67
Sam Carrick	AGE:30	PO:0	OV:63

Marcus Foligno	AGE:30	PO:0	OV:79
Johnny Gaudreau	AGE:28	PO:0	OV:77
Mason Marchment	AGE:27	PO:0	OV:75
J.T. Miller	AGE:29	PO:0	OV:74
Chris Wagner	AGE:31	PO:0	OV:71
Dustin Boyd	AGE:35	PO:0	OV:69
Zach Hyman	AGE:30	PO:0	OV:69
Brock McGinn	AGE:28	PO:0	OV:68
Eric Robinson	AGE:27	PO:0	OV:68
Stefan Noesen	AGE:29	PO:0	OV:66

Defense #1

Defense #2

Goalie

Justin Faulk	AGE:30	PO:0	OV:80
Matt Dumba	AGE:27	PO:0	OV:79
Hampus Lindholm	AGE:28	PO:0	OV:78
Zach Werenski	AGE:24	PO:0	OV:78
Simon Despres	AGE:30	PO:0	OV:77
Riley Stillman (R)	AGE:24	PO:0	OV:74
Fredrik Claesson	AGE:29	PO:0	OV:73
John Ramage	AGE:31	PO:0	OV:72

Andrei Zubarev	AGE:35	PO:0	OV:71
J.J. Moser (R)	AGE:22	PO:0	OV:71
Martin Marincin	AGE:30	PO:0	OV:70
Jack Johnson	AGE:35	PO:0	OV:70
Jamie Drysdale (R)	AGE:20	PO:0	OV:70
Jon Merrill	AGE:30	PO:0	OV:69
Chad Ruhwedel	AGE:32	PO:0	OV:68
Nick Seeler	AGE:29	PO:0	OV:67

Mackenzie Blackwood	AGE:25	PO:0	OV:81
Aaron Dell	AGE:33	PO:0	OV:77
Collin Delia	AGE:28	PO:0	OV:76
Henrik Karlsson	AGE:39	PO:0	OV:75
Jonas Johansson	AGE:26	PO:0	OV:72
Dustin Tokarski	AGE:32	PO:0	OV:71

Prospects

Show or Hide Column

Filter Tips

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

Prospect	Team Name	Draft Year	Overall Pick	Lien
1x NHL Re-Rate (NSHL22)	Columbus Blue Jackets
1x RFA Tag	Columbus Blue Jackets
2x Franchise Player Tag (NSHL22)	Columbus Blue Jackets
46x TC PTS	Columbus Blue Jackets
Adam Beckman	Columbus Blue Jackets	19	57
Aidan Dudas	Columbus Blue Jackets	18	109
Alex Cotton	Columbus Blue Jackets	20	130
Alex Laferriere	Columbus Blue Jackets	20	128
Alexander Campbell	Columbus Blue Jackets	19	76
Alexander Khovanov	Columbus Blue Jackets	18	108
Alexander Pashin	Columbus Blue Jackets	20	120
Alexei Lipanov	Columbus Blue Jackets	17	104
Blake McLaughlin	Columbus Blue Jackets	18	112
Brayden Tracey	Columbus Blue Jackets	19	24
Brett Leason	Columbus Blue Jackets	19	31
Bryce Brodzinski	Columbus Blue Jackets	19	130
Bulat Shafigullin	Columbus Blue Jackets	18	115
Cam York	Columbus Blue Jackets	19	18
Colby Ambrosio	Columbus Blue Jackets	20	136
Connor McClennon	Columbus Blue Jackets	20	97
David Jiricek	Columbus Blue Jackets	22	6	Link
Emil Heineman	Columbus Blue Jackets	20	94
Ethan Del Mastro	Columbus Blue Jackets	21	141	Link
Ethan Keppen	Columbus Blue Jackets	19	120
Evan Barratt	Columbus Blue Jackets	17	111
Fabian Zetterlund	Columbus Blue Jackets	17	114
Filip Hallander	Columbus Blue Jackets	18	74
Filip Zadina	Columbus Blue Jackets	18	4
Francesco Pinelli	Columbus Blue Jackets	21	29	Link
Frank Nazar	Columbus Blue Jackets	22	9	Link
Guillaume Richard	Columbus Blue Jackets	21	147	Link
Ian Moore	Columbus Blue Jackets	20	83
Ilya Nikolaev	Columbus Blue Jackets	19	55
Jack Thompson	Columbus Blue Jackets	20	133
Jackson Hallum	Columbus Blue Jackets	20	117
Jacob Perreault	Columbus Blue Jackets	20	25
Jake Sanderson	Columbus Blue Jackets	20	14
Jakob Pelletier	Columbus Blue Jackets	19	26
Joni Ikonen	Columbus Blue Jackets	17	82
Jonny Tychonick	Columbus Blue Jackets	18	67
Klim Kostin	Columbus Blue Jackets	17	8
Kristian Vesalainen	Columbus Blue Jackets	17	25
Matej Pekar	Columbus Blue Jackets	18	116
Matteo Costantini	Columbus Blue Jackets	20	102
Maxime Comtois	Columbus Blue Jackets	17	55
Michael Benning	Columbus Blue Jackets	20	40
Michael Teply	Columbus Blue Jackets	19	85
Niklas Nordgren	Columbus Blue Jackets	18	78
Nikola Pasic	Columbus Blue Jackets	19	116
Olen Zellweger	Columbus Blue Jackets	21	35	Link
Patrik Puistola	Columbus Blue Jackets	19	45
Pavel Dorofeyev	Columbus Blue Jackets	19	33
Pavel Novak	Columbus Blue Jackets	20	84
Rhett Pitlick	Columbus Blue Jackets	19	88
Robert Mastrosimone	Columbus Blue Jackets	19	67
Ruslan Iskhakov	Columbus Blue Jackets	18	58
Sam Colangelo	Columbus Blue Jackets	20	47
Sean Tschigerl	Columbus Blue Jackets	21	97	Link
Slava Demin	Columbus Blue Jackets	18	114
Tristan Broz	Columbus Blue Jackets	21	53	Link
Tuukka Tieksola	Columbus Blue Jackets	19	78
Tyler Tullio	Columbus Blue Jackets	20	127
Valentin Nussbaumer	Columbus Blue Jackets	19	124
Vasily Podkolzin	Columbus Blue Jackets	19	14
Will Cuylle	Columbus Blue Jackets	20	75	Link
William Villeneuve	Columbus Blue Jackets	20	72
Yegor Serdyuk	Columbus Blue Jackets	19	119
Yegor Spiridonov	Columbus Blue Jackets	19	97

Draft Picks

Year	R1	R2	R3	R4	R5	R6	R7
23
24
25
26
27

STHS News Database File Not Found. Please create one from the League News Management or the STHS.

Columbus Blue Jackets Trade History

[7/6/2023 10:31:13 AM] $1,173,265 was added to Columbus Blue Jackets bank account.
[7/6/2023 10:24:32 AM] Farm Game #929 - Zach Hyman from Cleveland Monsters has scored a Hat Trick!
[7/6/2023 10:24:22 AM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:2607:fea8:2843:5300:40b3:3997:a43:ce2c .
[7/5/2023 10:29:53 AM] J.J. Moser from Cleveland Monsters is back from Back Injury.
[7/5/2023 10:29:34 AM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:76.64.230.19 .
[7/4/2023 1:58:02 PM] $3,500,000 was added to Columbus Blue Jackets bank account.
[7/4/2023 10:47:46 AM] Mackenzie MacEachern from Cleveland Monsters is back from Fractured Orbital Bone Injury.
[7/4/2023 10:47:46 AM] Mark Arcobello from Cleveland Monsters is back from Sprained Left Finger Injury.
[7/3/2023 10:24:46 AM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:2607:fea8:3240:7130:bb60:b051:cb37:e8de .
[7/2/2023 10:52:49 AM] Vincent Trocheck from Columbus Blue Jackets is back from Groin Injury.
[6/30/2023 11:02:56 AM] Successfully loaded Columbus Blue Jackets lines done with Web Base Client and SQLite Database from IP:76.64.230.19 .
[6/29/2023 10:06:37 AM] Game 880 - J.J. Moser from Cleveland Monsters is injured (Back) and is out for 2 weeks.
[6/29/2023 10:06:37 AM] Game 880 - Ilya Mikheyev from Columbus Blue Jackets is injured (Left Leg) and is out for 3 weeks.

John Quenneville is out for 1 month because of a Strained Right Elbow Injury.
Ilya Mikheyev is out for 6 days because of a Left Leg Injury.

Columbus Blue Jackets Players Stat Leaders (Regular Season)

Show or Hide Column

#	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 Column

#	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 Column

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

Columbus Blue Jackets Players Stat Leaders (Play-Off)

Show or Hide Column

#	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 Column

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

	Columbus Blue Jackets
	GP: 78 \| W: 43 \| L: 25 \| OTL: 10 \| P: 128 GF: 206 \| GA: 200 \| PP%: 14.15% \| PK%: 82.26% GM : Josh \| Morale : 40 \| Team Overall : 76