Springfield Falcons
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension
Career Team Stat
Web Roster Editor
Web Lines Editor

Game Center
	Columbus Blue Jackets 3-2-1, 7pts	2	FINAL	4	New Jersey Devils 3-3-2, 8pts

Team Stats
W1	Streak	L1
1-1-1	Home Record	2-1-0
2-1-0	Away Record	1-2-2
3-2-1	Last 10 Games	3-3-2
2.67	Goals Per Game	1.63
2.00	Goals Against Per Game	2.13
28.57%	Power Play Percentage	9.30%
88.00%	Penalty Kill Percentage	86.44%

Columbus Blue Jackets
3-2-1, 7pts

FINAL

San Jose Sharks
2-3-0, 4pts

Team Stats
W1	Streak	L1
1-1-1	Home Record	1-3-0
2-1-0	Away Record	1-0-0
3-2-1	Last 10 Games	2-3-0
2.67	Goals Per Game	1.80
2.00	Goals Against Per Game	1.60
28.57%	Power Play Percentage	12.50%
88.00%	Penalty Kill Percentage	84.38%

Columbus Blue Jackets
3-2-1, 7pts

2022-06-27

New York Islanders
1-4-1, 3pts

Team Stats
W1	Streak	L1
1-1-1	Home Record	1-1-1
2-1-0	Away Record	0-3-0
3-2-1	Last 10 Games	1-4-1
2.67	Goals Per Game	1.17
2.00	Goals Against Per Game	1.17
28.57%	Power Play Percentage	8.70%
88.00%	Penalty Kill Percentage	96.88%

Minnesota Wild
3-2-1, 7pts

2022-06-29

Columbus Blue Jackets
3-2-1, 7pts

Team Stats
W2	Streak	W1
2-1-1	Home Record	1-1-1
1-1-0	Away Record	2-1-0
3-2-1	Last 10 Games	3-2-1
2.50	Goals Per Game	2.67
2.00	Goals Against Per Game	2.67
15.15%	Power Play Percentage	28.57%
91.18%	Penalty Kill Percentage	88.00%

Washington Capitals
3-2-2, 8pts

2022-07-04

Columbus Blue Jackets
3-2-1, 7pts

Team Stats
OTL2	Streak	W1
2-0-1	Home Record	1-1-1
1-2-1	Away Record	2-1-0
3-2-2	Last 10 Games	3-2-1
1.29	Goals Per Game	2.67
1.86	Goals Against Per Game	2.67
6.67%	Power Play Percentage	28.57%
90.48%	Penalty Kill Percentage	88.00%

Team Leaders
	Goals Connor Brown 5	Assists Ryan Nugent-Hopkins 5

	Points Connor Brown 7	Plus/Minus Dylan DeMelo 0

	Wins John Gibson 3	Save Percentage Chris Driedger 1

Team Stats
Goals For 16 2.67 GFG	Shots For 105 17.50 Avg	Power Play Percentage 28.6% 10 GF	Offensive Zone Start 42.1%
Goals Against 12 2.00 GAA	Shots Against 96 16.00 Avg	Penalty Kill Percentage 88.0%% 3 GA	Defensive Zone Start 38.8%

Team Info
	General Manager
	Division	Metropolitan
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name	Nationwide Arena
	Capacity	18,000
	Attendance	0
	Season Tickets	7,200
Roster Info
	Pro Team	20
	Farm Team	40
	Contract Limit	60 / 250
	Prospects	0
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	46,948,520$
	Current Bank Account	10,000,000$
	Projected Bank Account	-42,654,913$
Team History
	This Season	3-2-1 (7PTS)
	History	117-95-32 (0.480%)
	Playoff Appearances	2
	Playoff Record (W-L)	10-14
	Stanley Cup	0

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	Ryan Nugent-Hopkins	X	X			100.00	58	42	84	76	71	89	91	79	82	80	77	76	81	75	78	73	41	74	0	29	5	2,981,000$
2	Connor Brown			X		100.00	57	35	91	75	73	88	90	72	62	73	75	88	74	73	68	42	41	72	0	28	4	3,379,000$
3	Sean Monahan	X				100.00	71	38	89	76	80	87	86	77	85	78	74	67	76	73	79	75	41	72	0	27	2	2,908,000$
4	Timo Meier		X	X		100.00	84	46	81	76	77	85	91	75	62	77	74	65	78	69	74	83	41	72	0	25	3	2,667,000$
5	Calle Jarnkrok	X	X	X		100.00	58	35	92	73	70	84	89	71	78	73	72	79	74	78	73	57	41	71	0	30	4	2,638,000$
6	Pavel Zacha	X	X			100.00	69	35	93	72	85	87	88	73	86	75	70	74	76	67	71	86	41	71	0	25	5	0$
7	Nic Dowd	X		X		100.00	85	37	82	66	78	87	81	65	93	64	66	87	64	79	73	38	41	70	0	32	4	4,882,000$
8	Lawson Crouse		X	X		100.00	93	75	79	67	90	84	89	66	55	67	66	75	64	67	66	83	42	69	0	25	3	1,892,000$
9	Alexander Barabanov		X			100.00	54	35	92	74	71	83	87	69	66	72	68	65	71	73	66	58	41	68	0	28	5	2,570,000$
10	Sean Kuraly	X				100.00	86	36	85	64	83	79	89	66	87	68	63	76	64	75	69	48	41	68	0	29	5	0$
11	Warren Foegele		X	X		100.00	73	52	86	69	80	82	91	67	61	69	68	72	68	69	66	64	41	68	0	26	4	0$
12	Michael McLeod	X		X		100.00	82	72	77	69	78	84	81	65	86	64	63	72	65	67	70	84	41	67	0	24	4	2,116,000$
13	Colton Parayko				X	100.00	77	65	89	70	98	93	85	71	30	76	70	84	56	75	74	53	41	75	0	29	5	0$
14	Mattias Ekholm				X	100.00	66	39	87	71	89	90	86	72	30	78	69	87	56	79	78	48	41	75	0	32	3	0$
15	Justin Holl				X	100.00	80	46	82	66	88	90	92	67	30	76	58	81	52	77	70	57	41	73	0	30	2	5,094,000$
16	Dylan DeMelo				X	100.00	82	42	84	65	73	88	90	65	30	72	55	81	50	75	68	41	41	71	0	29	3	4,612,000$
17	Mike Matheson				X	100.00	67	37	85	72	78	87	86	71	30	74	69	73	56	72	67	70	41	70	0	28	2	4,797,000$
18	Alex Biega				X	100.00	87	39	86	70	72	82	78	63	30	66	58	67	53	82	73	45	41	68	0	34	2	2,318,000$
Scratches
Farm Team
1	Christian Fischer			X		100.00	90	35	94	65	83	74	87	67	56	64	63	66	71	67	68	74	44	66	0	25	3	1,698,000$
2	Eric Robinson		X			100.00	82	35	94	64	80	77	86	63	58	66	65	67	63	71	69	42	44	66	0	27	1	0$
3	Jaret Anderson-Dolan	X	X			100.00	80	35	94	68	70	81	82	66	72	64	68	63	65	62	63	74	44	65	0	22	3	1,987,000$
4	Joel Kellman	X				100.00	68	35	92	64	71	68	72	65	77	66	64	69	63	73	68	37	44	64	0	28	2	2,373,000$
5	Justin Abdelkader		X	X		100.00	86	43	84	60	83	73	75	62	65	63	60	66	61	84	74	40	44	64	0	35	4	3,176,000$
6	Matt Puempel		X			100.00	69	46	81	62	78	78	83	63	68	65	64	61	66	75	68	67	44	64	0	29	4	3,872,000$
7	Nicholas Robertson		X			100.00	54	35	95	70	62	78	81	68	58	66	61	62	69	63	64	72	44	64	0	20	4	0$
8	Boo Nieves	X	X			100.00	56	55	71	61	86	70	73	62	75	63	60	66	61	73	67	58	44	63	0	28	3	3,078,000$
9	Chase Pearson	X				100.00	69	35	91	63	78	81	86	61	76	62	59	64	58	67	64	56	44	63	0	24	2	2,344,000$
10	Dylan Sikura	X	X	X		100.00	62	35	91	66	67	74	75	63	62	64	66	59	66	71	65	47	44	63	0	27	2	0$
11	Riley Tufte		X			100.00	90	81	72	58	99	84	89	57	55	56	54	63	54	65	66	81	44	63	0	24	4	2,551,000$
12	Joe Hicketts				X	100.00	78	36	89	68	64	89	82	67	30	66	61	65	53	69	72	54	44	67	0	26	4	2,623,000$
13	Juuso Valimaki				X	100.00	59	41	83	65	83	86	74	69	30	72	59	71	54	65	67	83	44	67	0	23	2	1,731,000$
14	Dylan Coghlan				X	100.00	72	35	93	66	82	85	81	64	30	67	65	59	53	65	63	54	44	66	0	24	2	2,116,000$
15	Brian Lashoff				X	100.00	73	51	78	59	86	76	71	58	30	61	56	65	48	79	77	34	37	65	0	32	3	0$
16	Seth Helgeson				X	100.00	74	68	56	54	90	79	84	53	30	55	52	61	45	79	77	46	44	64	0	31	4	4,025,000$
17	Cam York				X	100.00	52	35	92	69	67	73	81	66	30	63	58	64	55	61	63	86	44	63	0	21	4	0$
18	Axel Jonsson-Fjallby			X		100.00	59	35	90	62	68	83	88	60	55	58	63	59	64	66	63	58	33	62	0	24	2	0$
19	Aleksi Heponiemi	X				100.00	50	35	93	68	61	74	72	66	73	63	59	58	68	63	66	75	33	61	0	23	2	1,665,000$
20	Jacob Perreault			X		100.00	62	37	78	64	71	73	78	63	57	65	58	56	61	59	62	82	33	61	0	20	2	1,495,000$
21	Justin Kloos	X		X		100.00	56	46	78	59	65	85	90	59	64	61	58	58	59	75	68	36	33	61	0	28	4	2,607,000$
22	Luke Witkowski			X		100.00	87	56	70	60	83	64	67	58	44	61	59	59	54	79	77	38	33	61	0	32	4	2,000,000$
23	Dmitry Zavgorodniy			X		100.00	58	35	93	61	64	75	80	62	53	60	58	56	59	62	63	58	33	60	0	21	2	2,342,000$
24	Travis St. Denis	X				100.00	61	58	65	59	61	83	88	58	64	57	59	53	60	77	69	36	33	60	0	29	1	1,801,000$
25	Aidan Dudas	X				100.00	63	35	91	61	62	83	86	58	63	54	57	53	58	61	63	66	33	59	0	22	2	0$
26	Chad Yetman			X		100.00	59	35	93	59	68	72	77	58	52	60	56	57	55	61	63	54	33	59	0	22	4	2,197,000$
27	Emilio Pettersen		X			100.00	57	35	92	58	66	75	83	58	70	59	58	55	58	61	63	49	33	59	0	22	2	1,853,000$
28	Mason Morelli		X			100.00	68	38	73	56	77	72	67	54	59	57	53	56	52	69	65	42	33	58	0	26	4	0$
29	Will Cuylle		X			100.00	75	64	55	58	84	64	69	57	53	56	59	55	57	59	61	69	33	58	0	20	5	2,139,000$
30	Cedric Lacroix		X			100.00	76	62	58	53	75	63	68	54	52	55	55	56	50	73	67	36	33	57	0	27	3	1,919,000$
31	Frederic Allard				X	100.00	53	35	91	66	73	83	76	64	30	63	56	58	50	67	64	63	33	62	0	24	1	0$
32	Scott Moldenhauer				X	100.00	82	36	81	55	91	69	74	54	30	53	51	58	45	73	67	37	33	62	0	28	2	1,796,000$
33	John Ludvig				X	100.00	71	57	69	60	80	70	65	57	30	65	56	59	49	61	61	67	33	61	0	22	2	2,003,000$
34	Rob Hamilton				X	100.00	64	37	89	57	73	79	78	56	30	55	54	58	46	73	67	36	33	61	0	28	2	0$
35	Joshua Anderson				X	100.00	80	43	83	51	89	60	65	51	30	50	54	57	45	65	63	65	33	59	0	23	3	1,661,000$
36	Jett Woo				X	100.00	66	48	78	53	75	74	79	53	30	52	55	54	46	61	61	76	33	58	0	22	2	0$

	TEAM AVERAGE					100.00	70	44	84	64	77	79	81	63	54	65	62	65	60	70	68	58	39	65

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	John Gibson	100.00	92	91	95	82	91	90	92	91	90	92	91	75	81	62	36	86	0	29	2	4,291,395$
2	Chris Driedger	100.00	83	94	87	88	82	81	83	82	81	83	82	74	78	56	41	80	0	28	2	4,089,730$
Scratches
Farm Team
1	Casey DeSmith	100.00	80	83	81	74	79	78	80	79	78	80	79	77	83	48	44	77	0	30	1	0$
2	Evan Fitzpatrick	100.00	75	80	79	85	74	73	75	74	73	75	74	66	70	68	44	73	0	24	1	0$
3	Philippe Desrosiers	100.00	72	83	81	76	71	70	72	71	70	72	71	71	75	67	33	71	0	26	3	3,282,525$
4	Will Cranley	100.00	67	77	82	83	66	65	67	66	65	67	66	59	61	50	33	67	0	20	3	1,917,099$

	TEAM AVERAGE	100.00	78	85	84	81	77	76	78	77	76	78	77	70	75	59	39	76

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	PKS	PKM	GW	GT	FO%	FOT	P/20	FT	S1	S2	S3
1	Connor Brown	Columbus Blue Jackets	RW	6	5	2	7	-1	0	0	0	7	13	1	2	38.46%	1	129	21.61	2	2	4	5	25	0	12	1	0	21.61	19	1.08	0	1	0	0
2	Mattias Ekholm	Columbus Blue Jackets	D	6	2	4	6	-1	6	0	4	7	6	3	2	33.33%	9	149	24.92	2	2	4	5	26	0	19	1	0	0.00%	0	0.80	0	0	1	0
3	Colton Parayko	Columbus Blue Jackets	D	6	1	4	5	0	12	0	10	4	9	1	2	11.11%	7	147	24.53	1	3	4	5	27	1	14	0	0	0.00%	0	0.68	0	0	0	0
4	Ryan Nugent-Hopkins	Columbus Blue Jackets	C/LW	6	0	5	5	0	2	0	4	22	7	5	7	0.00%	2	145	24.28	0	2	2	2	25	0	21	0	0	24.28	170	0.69	0	0	0	0
5	Timo Meier	Columbus Blue Jackets	LW/RW	6	2	2	4	-1	4	0	13	4	11	6	7	18.18%	1	128	21.49	1	2	3	3	25	0	11	0	0	21.49	11	0.62	0	0	0	0
6	Nic Dowd	Columbus Blue Jackets	C/RW	6	2	1	3	-1	6	0	11	5	7	3	1	28.57%	0	94	15.69	2	1	3	3	26	0	0	0	0	15.69	2	0.64	0	1	0	0
7	Calle Jarnkrok	Columbus Blue Jackets	C/LW/RW	6	0	2	2	-1	2	0	0	7	12	0	6	0.00%	0	96	16.06	0	2	2	3	26	0	2	0	0	16.06	8	0.42	0	0	0	0
8	Dylan DeMelo	Columbus Blue Jackets	D	6	2	0	2	0	2	0	4	6	6	0	0	33.33%	3	129	21.66	2	0	2	5	23	0	20	0	1	0.00%	0	0.31	0	0	0	1
9	Mike Matheson	Columbus Blue Jackets	D	6	0	2	2	-2	0	0	3	3	3	1	2	0.00%	2	79	13.33	0	0	0	1	3	0	0	0	0	0.00%	0	0.50	0	1	0	0
10	Sean Monahan	Columbus Blue Jackets	C	6	0	2	2	-1	0	0	4	12	7	2	9	0.00%	0	129	21.53	0	2	2	2	25	0	24	0	0	21.53	109	0.31	0	0	0	0
11	Alex Biega	Columbus Blue Jackets	D	6	0	1	1	-2	14	0	8	2	1	2	1	0.00%	2	86	14.49	0	0	0	0	2	0	9	0	0	0.00%	0	0.23	0	0	0	0
12	Pavel Zacha	Columbus Blue Jackets	C/LW	6	0	1	1	0	0	0	1	8	7	3	4	0.00%	0	62	10.47	0	0	0	0	3	0	0	0	0	10.47	33	0.32	0	0	0	0
13	Sean Kuraly	Columbus Blue Jackets	C	6	1	0	1	-1	0	0	2	4	2	0	3	50.00%	0	36	6.09	0	0	0	0	0	0	0	0	0	6.09	26	0.55	0	0	0	1
14	Warren Foegele	Columbus Blue Jackets	LW/RW	6	1	0	1	0	0	0	1	1	5	0	2	20.00%	0	61	10.17	0	0	0	0	1	0	0	1	0	10.17	6	0.33	0	0	1	0
15	Alexander Barabanov	Columbus Blue Jackets	LW	6	0	0	0	-1	0	0	0	3	1	2	0	0.00%	1	38	6.39	0	0	0	0	0	0	1	0	0	0.00%	2	0.00%	0	0	0	0
16	Justin Holl	Columbus Blue Jackets	D	6	0	0	0	0	8	0	2	5	4	1	3	0.00%	4	127	21.28	0	0	0	3	23	0	17	0	0	0.00%	0	0.00%	0	0	0	0
17	Lawson Crouse	Columbus Blue Jackets	LW/RW	6	0	0	0	0	13	5	10	5	3	1	3	0.00%	0	66	11.04	0	0	0	0	1	0	5	0	0	11.04	6	0.00%	1	0	0	0
18	Michael McLeod	Columbus Blue Jackets	C/RW	6	0	0	0	-1	0	0	2	1	1	0	2	0.00%	0	36	6.09	0	0	0	0	0	0	0	0	0	6.09	3	0.00%	0	0	0	0
Team Total or Average				108	16	26	42	-13	69	5	79	106	105	31	56	15.24%	32	1746	16.17	10	16	26	37	270	1	162	3	1	51.39%	395	0.48	1	3	2	2

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	SO	GA	SA	PS %	ST	BG	S3
1	John Gibson	Columbus Blue Jackets	6	3	2	1	0.870	2.20	327	2	12	92	0.00%	6	0	1
2	Chris Driedger	Columbus Blue Jackets	1	0	0	0	1.000	0.00%	33	0	0	4	0.00%	0	6	0
Team Total or Average			7	3	2	1	0.875	1.99	361	2	12	96		6	6	1

Show or Hide Column

Filter Tips

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

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Force Waivers	Contract	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Link
Alex Biega	Columbus Blue Jackets	D	34	4/4/1988	No	199 Lbs	5 ft10	No	No	No	2	Pro & Farm	2,318,000$	0$	0$	No	2,318,000$				Link
Alexander Barabanov	Columbus Blue Jackets	LW	28	6/17/1994	No	192 Lbs	5 ft10	No	No	No	5	Pro & Farm	2,570,000$	0$	0$	No	2,570,000$	2,570,000$	2,570,000$	2,570,000$	Link / NHL Link
Calle Jarnkrok	Columbus Blue Jackets	C/LW/RW	30	9/25/1991	No	186 Lbs	5 ft11	No	No	No	4	Pro & Farm	2,638,000$	0$	0$	No	2,638,000$	2,638,000$	2,638,000$		Link / NHL Link
Chris Driedger	Columbus Blue Jackets	G	28	5/18/1994	No	208 Lbs	6 ft4	No	No	No	2	Pro & Farm	4,089,730$	0$	0$	No	4,089,730$				Link / NHL Link
Colton Parayko	Columbus Blue Jackets	D	29	5/12/1993	No	230 Lbs	6 ft6	No	No	No	5	Pro & Farm		0$	0$	No					Link / NHL Link
Connor Brown	Columbus Blue Jackets	RW	28	1/14/1994	No	185 Lbs	6 ft0	No	No	No	4	Pro & Farm	3,379,000$	0$	0$	No	3,379,000$	3,379,000$	3,379,000$		Link / NHL Link
Dylan DeMelo	Columbus Blue Jackets	D	29	5/1/1993	No	191 Lbs	6 ft0	No	No	No	3	Pro & Farm	4,612,000$	0$	0$	No	4,612,000$	4,612,000$			Link / NHL Link
John Gibson	Columbus Blue Jackets	G	29	7/14/1993	No	207 Lbs	6 ft2	No	No	No	2	Pro & Farm	4,291,395$	0$	0$	No	4,291,395$				Link / NHL Link
Justin Holl	Columbus Blue Jackets	D	30	1/30/1992	No	210 Lbs	6 ft4	No	No	No	2	Pro & Farm	5,094,000$	0$	0$	No	5,094,000$				Link / NHL Link
Lawson Crouse	Columbus Blue Jackets	LW/RW	25	6/23/1997	No	220 Lbs	6 ft4	No	No	No	3	Pro & Farm	1,892,000$	0$	0$	No	1,892,000$	1,892,000$			Link / NHL Link
Mattias Ekholm	Columbus Blue Jackets	D	32	5/24/1990	No	215 Lbs	6 ft4	No	No	No	3	Pro & Farm		0$	0$	No					Link / NHL Link
Michael McLeod	Columbus Blue Jackets	C/RW	24	2/3/1998	No	188 Lbs	6 ft2	No	No	No	4	Pro & Farm	2,116,000$	0$	0$	No	2,116,000$	2,116,000$	2,116,000$		Link / NHL Link
Mike Matheson	Columbus Blue Jackets	D	28	2/27/1994	No	188 Lbs	6 ft2	No	No	No	2	Pro & Farm	4,797,000$	0$	0$	No	4,797,000$				Link / NHL Link
Nic Dowd	Columbus Blue Jackets	C/RW	32	5/27/1990	No	192 Lbs	6 ft1	No	No	No	4	Pro & Farm	4,882,000$	0$	0$	No	4,882,000$	4,882,000$	4,882,000$		Link / NHL Link
Pavel Zacha	Columbus Blue Jackets	C/LW	25	4/6/1997	No	210 Lbs	6 ft3	No	No	No	5	Pro & Farm		0$	0$	No					Link / NHL Link
Ryan Nugent-Hopkins	Columbus Blue Jackets	C/LW	29	4/12/1993	No	184 Lbs	6 ft0	No	No	No	5	Pro & Farm	2,981,000$	0$	0$	No	2,981,000$	2,981,000$	2,981,000$	2,981,000$	Link / NHL Link
Sean Kuraly	Columbus Blue Jackets	C	29	1/20/1993	No	213 Lbs	6 ft2	No	No	No	5	Pro & Farm		0$	0$	No					Link / NHL Link
Sean Monahan	Columbus Blue Jackets	C	27	10/12/1994	No	200 Lbs	6 ft2	No	No	No	2	Pro & Farm	2,908,000$	0$	0$	No	2,908,000$				Link / NHL Link
Timo Meier	Columbus Blue Jackets	LW/RW	25	10/8/1996	No	210 Lbs	6 ft0	No	No	No	3	Pro & Farm	2,667,000$	0$	0$	No	2,667,000$	2,667,000$			Link / NHL Link
Warren Foegele	Columbus Blue Jackets	LW/RW	26	4/1/1996	No	198 Lbs	6 ft2	No	No	No	4	Pro & Farm		0$	0$	No					Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
20	28.35	201 Lbs	6 ft2	3.45	2,561,756$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
51,235,125$	51,235,125$	27,737,000$	18,566,000$	5,551,000$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Timo Meier	Ryan Nugent-Hopkins	Connor Brown	40	1	2	2
2	Calle Jarnkrok	Sean Monahan	Nic Dowd	30	1	2	2
3	Warren Foegele	Pavel Zacha	Lawson Crouse	20	1	2	2
4	Alexander Barabanov	Sean Kuraly	Michael McLeod	10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Colton Parayko	Mattias Ekholm	40	1	2	2
2	Justin Holl	Dylan DeMelo	30	1	2	2
3	Mike Matheson	Alex Biega	20	1	2	2
4	Colton Parayko	Mattias Ekholm	10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Timo Meier	Ryan Nugent-Hopkins	Connor Brown	60	1	2	2
2	Calle Jarnkrok	Sean Monahan	Nic Dowd	40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Colton Parayko	Mattias Ekholm	60	1	2	2
2	Justin Holl	Dylan DeMelo	40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Nugent-Hopkins	Sean Monahan	60	1	2	2
2	Connor Brown	Timo Meier	40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Colton Parayko	Mattias Ekholm	60	1	2	2
2	Justin Holl	Dylan DeMelo	40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Ryan Nugent-Hopkins	60	1	2	2	Colton Parayko	Mattias Ekholm	60	1	2	2
2	Sean Monahan	40	1	2	2	Justin Holl	Dylan DeMelo	40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Ryan Nugent-Hopkins	Sean Monahan	60	1	2	2
2	Connor Brown	Timo Meier	40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Colton Parayko	Mattias Ekholm	60	1	2	2
2	Justin Holl	Dylan DeMelo	40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Timo Meier	Ryan Nugent-Hopkins	Connor Brown	Colton Parayko	Mattias Ekholm

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Timo Meier	Ryan Nugent-Hopkins	Connor Brown	Colton Parayko	Mattias Ekholm

Extra Forwards
Normal	PowerPlay	Penalty Kill
Pavel Zacha, Warren Foegele, Lawson Crouse	Pavel Zacha, Warren Foegele	Lawson Crouse

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Mike Matheson, Alex Biega, Justin Holl	Mike Matheson	Alex Biega, Justin Holl

Penalty Shots
Ryan Nugent-Hopkins, Sean Monahan, Connor Brown, Timo Meier, Calle Jarnkrok

Goalie
#1 : John Gibson, #2 : Chris Driedger

Custom OT Lines Forwards
Ryan Nugent-Hopkins, Sean Monahan, Connor Brown, Timo Meier, Calle Jarnkrok, Pavel Zacha, Pavel Zacha, Nic Dowd, Warren Foegele, Lawson Crouse, Sean Kuraly

Custom OT Lines Defensemen
Colton Parayko, Mattias Ekholm, Justin Holl, Dylan DeMelo, Mike Matheson

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	Carolina Hurricanes	1	0	1	0	0	0	0	0	2	3	-1	1	0	1	0	0	0	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	2	4	0	0	1	1	0	0	12	3	6	3	0	18	5	11	9	5	2	40.00%	2	0	100.00%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	22	14	25	7	12	5
2	Montreal Canadiens	1	1	0	0	0	0	0	0	3	2	1	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	1	2	0	0	14	5	9	0	0	16	5	18	10	4	1	25.00%	7	0	100.00%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	22	15	26	7	11	5
3	New Jersey Devils	1	0	1	0	0	0	0	0	2	4	-2	0	0	0	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	0	1	1	0	21	3	5	13	0	19	8	10	12	5	1	20.00%	5	2	60.00%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	25	17	23	7	11	6
4	Pittsburgh Penguins	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	2	3	-1	0	0	0	0	0	0	0	0	0	0	0	1	0.500	2	2	4	0	0	0	1	1	0	15	6	3	5	1	23	4	10	21	4	1	25.00%	3	1	66.67%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	24	16	25	7	13	6
5	San Jose Sharks	1	1	0	0	0	0	0	0	3	0	3	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	3	0	3	2	1.000	3	6	9	0	1	0	1	2	0	16	5	3	8	0	9	5	12	13	10	3	30.00%	5	0	100.00%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	26	17	21	8	12	6
6	Washington Capitals	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	4	0	4	0	0	0	0	0	0	0	0	0	0	0	2	1.000	4	7	11	0	1	4	0	0	0	27	9	11	7	0	11	5	8	14	7	2	28.57%	3	0	100.00%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	29	22	18	6	11	6
	Total	6	3	2	0	0	1	0	0	16	12	4	3	1	1	0	0	1	0	0	8	6	2	3	2	1	0	0	0	0	0	8	6	2	7	0.583	16	26	42	0	2	6	6	4	0	105	31	37	36	1	96	32	69	79	35	10	28.57%	25	3	88.00%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	149	104	139	44	73	37
	_Since Last GM Reset	6	3	2	0	0	1	0	0	16	12	4	3	1	1	0	0	1	0	0	8	6	2	3	2	1	0	0	0	0	0	8	6	2	7	0.583	16	26	42	0	2	6	6	4	0	105	31	37	36	1	96	32	69	79	35	10	28.57%	25	3	88.00%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	149	104	139	44	73	37
	_Vs Conference	5	2	2	0	0	1	0	0	13	12	1	3	1	1	0	0	1	0	0	8	6	2	2	1	1	0	0	0	0	0	5	6	-1	5	0.500	13	20	33	0	1	6	5	2	0	89	26	34	28	1	87	27	57	66	25	7	28.00%	20	3	85.00%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	123	87	117	36	60	30
	_Vs Division	4	1	2	0	0	1	0	0	10	10	0	3	1	1	0	0	1	0	0	8	6	2	1	0	1	0	0	0	0	0	2	4	-2	3	0.375	10	15	25	0	1	5	3	2	0	75	21	25	28	1	71	22	39	56	21	6	28.57%	13	3	76.92%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	101	71	91	29	49	25

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
6	7	W1	16	26	42	105	96	32	69	79	0	2

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
6	3	2	0	1	0	0	16	12

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	1	1	0	1	0	0	8	6

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
3	2	1	0	0	0	0	8	6

Last 10 Games
W	L	OTW	OTL	SOW	SOL
3	2	0	1	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
35	10	28.57%	25	3	88.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
31	37	36	1	6	6	4	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
81	165	49.09%	79	152	51.97%	43	75	57.33%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
149	104	139	44	73	37

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	Link
1 - 2022-06-06	2	Columbus Blue Jackets	3	Montreal Canadiens	2	AW		BoxScore
5 - 2022-06-10	27	Washington Capitals	0	Columbus Blue Jackets	4	BW		BoxScore
10 - 2022-06-15	49	Carolina Hurricanes	3	Columbus Blue Jackets	2	BL		BoxScore
14 - 2022-06-19	70	Pittsburgh Penguins	3	Columbus Blue Jackets	2	BL	X	BoxScore
16 - 2022-06-21	82	Columbus Blue Jackets	2	New Jersey Devils	4	AL		BoxScore
20 - 2022-06-25	100	Columbus Blue Jackets	3	San Jose Sharks	0	AW		BoxScore
22 - 2022-06-27	109	Columbus Blue Jackets	-	New York Islanders	-
24 - 2022-06-29	119	Minnesota Wild	-	Columbus Blue Jackets	-
29 - 2022-07-04	144	Washington Capitals	-	Columbus Blue Jackets	-
31 - 2022-07-06	159	Columbus Blue Jackets	-	Pittsburgh Penguins	-
33 - 2022-07-08	170	Philadelphia Flyers	-	Columbus Blue Jackets	-
36 - 2022-07-11	183	Columbus Blue Jackets	-	New York Rangers	-
39 - 2022-07-14	204	Columbus Blue Jackets	-	Philadelphia Flyers	-
41 - 2022-07-16	208	New Jersey Devils	-	Columbus Blue Jackets	-
45 - 2022-07-20	233	Columbus Blue Jackets	-	Carolina Hurricanes	-
47 - 2022-07-22	245	San Jose Sharks	-	Columbus Blue Jackets	-
49 - 2022-07-24	256	Columbus Blue Jackets	-	Washington Capitals	-
52 - 2022-07-27	270	Columbus Blue Jackets	-	Carolina Hurricanes	-
55 - 2022-07-30	281	Chicago Blackhawks	-	Columbus Blue Jackets	-
59 - 2022-08-03	307	Columbus Blue Jackets	-	Chicago Blackhawks	-
61 - 2022-08-05	314	Vancouver Canucks	-	Columbus Blue Jackets	-
63 - 2022-08-07	325	Columbus Blue Jackets	-	Toronto Maple Leafs	-
66 - 2022-08-10	342	Vegas Golden Knights	-	Columbus Blue Jackets	-
68 - 2022-08-12	351	Columbus Blue Jackets	-	Vegas Golden Knights	-
71 - 2022-08-15	364	Columbus Blue Jackets	-	Dallas Stars	-
73 - 2022-08-17	373	Columbus Blue Jackets	-	Colorado Avalanche	-
75 - 2022-08-19	384	New Jersey Devils	-	Columbus Blue Jackets	-
79 - 2022-08-23	409	Columbus Blue Jackets	-	New Jersey Devils	-
80 - 2022-08-24	415	Florida Panthers	-	Columbus Blue Jackets	-
87 - 2022-08-31	444	Seattle Kraken	-	Columbus Blue Jackets	-
91 - 2022-09-04	469	Columbus Blue Jackets	-	Winnipeg Jets	-
92 - 2022-09-05	475	Minnesota Wild	-	Columbus Blue Jackets	-
96 - 2022-09-09	501	Toronto Maple Leafs	-	Columbus Blue Jackets	-
99 - 2022-09-12	520	Columbus Blue Jackets	-	St. Louis Blues	-
102 - 2022-09-15	533	Arizona Coyotes	-	Columbus Blue Jackets	-
105 - 2022-09-18	554	Columbus Blue Jackets	-	Minnesota Wild	-
108 - 2022-09-21	567	Edmonton Oilers	-	Columbus Blue Jackets	-
111 - 2022-09-24	583	Columbus Blue Jackets	-	Boston Bruins	-
113 - 2022-09-26	592	Columbus Blue Jackets	-	Washington Capitals	-
115 - 2022-09-28	604	Calgary Flames	-	Columbus Blue Jackets	-
121 - 2022-10-04	631	Tampa Bay Lightning	-	Columbus Blue Jackets	-
123 - 2022-10-06	646	Columbus Blue Jackets	-	Philadelphia Flyers	-
126 - 2022-10-09	659	Columbus Blue Jackets	-	New York Islanders	-
128 - 2022-10-11	668	Detroit Red Wings	-	Columbus Blue Jackets	-
131 - 2022-10-14	682	Columbus Blue Jackets	-	Anaheim Ducks	-
133 - 2022-10-16	697	Philadelphia Flyers	-	Columbus Blue Jackets	-
136 - 2022-10-19	712	Columbus Blue Jackets	-	Montreal Canadiens	-
139 - 2022-10-22	729	Nashville Predators	-	Columbus Blue Jackets	-
143 - 2022-10-26	756	Columbus Blue Jackets	-	Pittsburgh Penguins	-
145 - 2022-10-28	762	Washington Capitals	-	Columbus Blue Jackets	-
147 - 2022-10-30	772	Columbus Blue Jackets	-	Seattle Kraken	-
151 - 2022-11-03	795	Dallas Stars	-	Columbus Blue Jackets	-
155 - 2022-11-07	817	Columbus Blue Jackets	-	Nashville Predators	-
157 - 2022-11-09	827	Montreal Canadiens	-	Columbus Blue Jackets	-
160 - 2022-11-12	849	Columbus Blue Jackets	-	Montreal Canadiens	-
162 - 2022-11-14	858	Anaheim Ducks	-	Columbus Blue Jackets	-
168 - 2022-11-20	884	Ottawa Senators	-	Columbus Blue Jackets	-
173 - 2022-11-25	911	St. Louis Blues	-	Columbus Blue Jackets	-
175 - 2022-11-27	924	Columbus Blue Jackets	-	Los Angeles Kings	-
177 - 2022-11-29	931	Columbus Blue Jackets	-	Arizona Coyotes	-
179 - 2022-12-01	948	Pittsburgh Penguins	-	Columbus Blue Jackets	-
182 - 2022-12-04	960	Columbus Blue Jackets	-	Detroit Red Wings	-
184 - 2022-12-06	968	Columbus Blue Jackets	-	Florida Panthers	-
187 - 2022-12-09	982	New York Rangers	-	Columbus Blue Jackets	-
189 - 2022-12-11	995	Columbus Blue Jackets	-	Edmonton Oilers	-
192 - 2022-12-14	1010	Columbus Blue Jackets	-	Buffalo Sabres	-
194 - 2022-12-16	1022	Boston Bruins	-	Columbus Blue Jackets	-
199 - 2022-12-21	1048	Winnipeg Jets	-	Columbus Blue Jackets	-
Trade Deadline --- Trades can’t be done after this day is simulated!
204 - 2022-12-26	1076	Columbus Blue Jackets	-	Tampa Bay Lightning	-
206 - 2022-12-28	1083	Carolina Hurricanes	-	Columbus Blue Jackets	-
209 - 2022-12-31	1102	Columbus Blue Jackets	-	Vancouver Canucks	-
211 - 2023-01-02	1112	Buffalo Sabres	-	Columbus Blue Jackets	-
215 - 2023-01-06	1135	Columbus Blue Jackets	-	San Jose Sharks	-
217 - 2023-01-08	1148	Columbus Blue Jackets	-	New York Rangers	-
218 - 2023-01-09	1152	New York Islanders	-	Columbus Blue Jackets	-
224 - 2023-01-15	1177	Columbus Blue Jackets	-	Calgary Flames	-
225 - 2023-01-16	1184	New York Islanders	-	Columbus Blue Jackets	-
228 - 2023-01-19	1202	Columbus Blue Jackets	-	Ottawa Senators	-
230 - 2023-01-21	1214	San Jose Sharks	-	Columbus Blue Jackets	-
236 - 2023-01-27	1244	New York Rangers	-	Columbus Blue Jackets	-
243 - 2023-02-03	1279	Colorado Avalanche	-	Columbus Blue Jackets	-
249 - 2023-02-09	1302	Los Angeles Kings	-	Columbus Blue Jackets	-

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	0	0	0	0	0
Attendance PCT	0.00%	0.00%	0.00%	0.00%	0.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
38	0 - 0.00%	0$	0$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	51,235,125$	51,235,125$	0$	0$

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

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	230	204,124$	46,948,520$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
52,654,913$	10,000,000$	-42,654,913$

Depth Chart

Left Wing

Center

Right Wing

Ryan Nugent-Hopkins	AGE:29	PO:73	OV:74
Timo Meier	AGE:25	PO:83	OV:72
Pavel Zacha	AGE:25	PO:86	OV:71
Calle Jarnkrok	AGE:30	PO:57	OV:71
Lawson Crouse	AGE:25	PO:83	OV:69
Warren Foegele	AGE:26	PO:64	OV:68
Alexander Barabanov	AGE:28	PO:58	OV:68
Eric Robinson	AGE:27	PO:42	OV:66
Jaret Anderson-Dolan	AGE:22	PO:74	OV:65
Nicholas Robertson	AGE:20	PO:72	OV:64
Matt Puempel	AGE:29	PO:67	OV:64
Justin Abdelkader	AGE:35	PO:40	OV:64
Riley Tufte	AGE:24	PO:81	OV:63
Boo Nieves	AGE:28	PO:58	OV:63
Dylan Sikura	AGE:27	PO:47	OV:63
Emilio Pettersen	AGE:22	PO:49	OV:59
Will Cuylle	AGE:20	PO:69	OV:58
Mason Morelli	AGE:26	PO:42	OV:58
Cedric Lacroix	AGE:27	PO:36	OV:57

Ryan Nugent-Hopkins	AGE:29	PO:73	OV:74
Sean Monahan	AGE:27	PO:75	OV:72
Pavel Zacha	AGE:25	PO:86	OV:71
Calle Jarnkrok	AGE:30	PO:57	OV:71
Nic Dowd	AGE:32	PO:38	OV:70
Sean Kuraly	AGE:29	PO:48	OV:68
Michael McLeod	AGE:24	PO:84	OV:67
Jaret Anderson-Dolan	AGE:22	PO:74	OV:65
Joel Kellman	AGE:28	PO:37	OV:64
Boo Nieves	AGE:28	PO:58	OV:63
Chase Pearson	AGE:24	PO:56	OV:63
Dylan Sikura	AGE:27	PO:47	OV:63
Aleksi Heponiemi	AGE:23	PO:75	OV:61
Justin Kloos	AGE:28	PO:36	OV:61
Travis St. Denis	AGE:29	PO:36	OV:60
Aidan Dudas	AGE:22	PO:66	OV:59

Timo Meier	AGE:25	PO:83	OV:72
Connor Brown	AGE:28	PO:42	OV:72
Calle Jarnkrok	AGE:30	PO:57	OV:71
Nic Dowd	AGE:32	PO:38	OV:70
Lawson Crouse	AGE:25	PO:83	OV:69
Warren Foegele	AGE:26	PO:64	OV:68
Michael McLeod	AGE:24	PO:84	OV:67
Christian Fischer	AGE:25	PO:74	OV:66
Justin Abdelkader	AGE:35	PO:40	OV:64
Dylan Sikura	AGE:27	PO:47	OV:63
Axel Jonsson-Fjallby	AGE:24	PO:58	OV:62
Jacob Perreault	AGE:20	PO:82	OV:61
Luke Witkowski	AGE:32	PO:38	OV:61
Justin Kloos	AGE:28	PO:36	OV:61
Dmitry Zavgorodniy	AGE:21	PO:58	OV:60
Chad Yetman	AGE:22	PO:54	OV:59

Defense #1

Defense #2

Goalie

Colton Parayko	AGE:29	PO:53	OV:75
Mattias Ekholm	AGE:32	PO:48	OV:75
Justin Holl	AGE:30	PO:57	OV:73
Dylan DeMelo	AGE:29	PO:41	OV:71
Mike Matheson	AGE:28	PO:70	OV:70
Alex Biega	AGE:34	PO:45	OV:68
Juuso Valimaki	AGE:23	PO:83	OV:67
Joe Hicketts	AGE:26	PO:54	OV:67
Dylan Coghlan	AGE:24	PO:54	OV:66

Brian Lashoff	AGE:32	PO:34	OV:65
Seth Helgeson	AGE:31	PO:46	OV:64
Cam York	AGE:21	PO:86	OV:63
Frederic Allard	AGE:24	PO:63	OV:62
Scott Moldenhauer	AGE:28	PO:37	OV:62
John Ludvig	AGE:22	PO:67	OV:61
Rob Hamilton	AGE:28	PO:36	OV:61
Joshua Anderson	AGE:23	PO:65	OV:59
Jett Woo	AGE:22	PO:76	OV:58

John Gibson	AGE:29	PO:62	OV:86
Chris Driedger	AGE:28	PO:56	OV:80
Casey DeSmith	AGE:30	PO:48	OV:77
Evan Fitzpatrick	AGE:24	PO:68	OV:73
Philippe Desrosiers	AGE:26	PO:67	OV:71
Will Cranley	AGE:20	PO:50	OV:67

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	Information	Lien

Draft Picks

Year	R1	R2	R3	R4	R5
4
5
6
7
8

[6/6/2022 10:11:52 PM] - Scott Moldenhauer was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] - Justin Abdelkader was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] - Joel Kellman was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] - Alexander Barabanov was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] - Alex Biega was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] - Aleksi Heponiemi was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] - Cedric Lacroix was added to Columbus Blue Jackets.
[6/6/2022 10:09:31 PM] - Columbus Blue Jackets was eliminated at round 1 of year 2.
[6/6/2022 10:09:30 PM] - Springfield Falcons was eliminated at round 1 of year 2.
[6/6/2022 10:05:04 PM] - New Record for Team's Most Shots Blocked (11) in 1 Game for Columbus Blue Jackets!
[6/6/2022 10:02:24 PM] - Alex Limoges was added to Columbus Blue Jackets.
[6/6/2022 10:02:24 PM] - Brandon Biro was added to Columbus Blue Jackets.
[6/6/2022 10:02:24 PM] - Jeff Skinner was added to Columbus Blue Jackets.
[6/6/2022 10:02:24 PM] - Jacob MacDonald was added to Columbus Blue Jackets.
[6/6/2022 10:02:24 PM] - Calle Jarnkrok was added to Columbus Blue Jackets.
[6/6/2022 10:02:24 PM] - Evan Barratt was added to Columbus Blue Jackets.
[6/6/2022 10:02:24 PM] - Aleksi Heponiemi was added to Columbus Blue Jackets.
[6/6/2022 10:01:21 PM] - Columbus Blue Jackets was eliminated at round 3 of year 1.
[6/6/2022 9:58:53 PM] - Springfield Falcons didn't make playoff for year 1.
[6/6/2022 9:26:01 PM] - New Record for Team's Most Penalties Minutes (45) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:25:04 PM] - New Record for Team's Most Shots (31) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:25:02 PM] - New Record for Team's Most Shots Blocked (10) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:24:41 PM] - New Record for Team's Most Penalties Minutes (33) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:24:29 PM] - New Record for Team's Most Hits (27) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:24:26 PM] - New Record for Team's Most Penalties Minutes (23) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:24:06 PM] - New Record for Team's Most Hits (25) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:24:06 PM] - New Record for Team's Most Points (14) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:24:06 PM] - New Record for Team's Most Assists (9) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:24:06 PM] - New Record for Team's Most Goals (5) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:23:58 PM] - New Record for Team's Most Hits (23) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:23:58 PM] - New Record for Team's Most Shots (27) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:23:50 PM] - New Record for Team's Most Points (9) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:23:50 PM] - New Record for Team's Most Assists (6) in 1 Game for Columbus Blue Jackets!
[6/6/2022 9:23:37 PM] - New Record for Team's Most Shots (24) in 1 Game for Columbus Blue Jackets!

[6/6/2022 10:12:39 PM] Both Columbus Blue Jackets and Springfield Falcons lines for next game are empty. Current rosters/lines are not erased.
[6/6/2022 10:12:35 PM] Both Columbus Blue Jackets and Springfield Falcons lines for next game are empty. Current rosters/lines are not erased.
[6/6/2022 10:12:34 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[6/6/2022 10:12:32 PM] Springfield Falcons lines for next game are empty. Current rosters/lines are not erased.
[6/6/2022 10:12:31 PM] Both Columbus Blue Jackets and Springfield Falcons lines for next game are empty. Current rosters/lines are not erased.
[6/6/2022 10:12:29 PM] Springfield Falcons lines for next game are empty. Current rosters/lines are not erased.
[6/6/2022 10:12:27 PM] Both Columbus Blue Jackets and Springfield Falcons lines for next game are empty. Current rosters/lines are not erased.
[6/6/2022 10:12:25 PM] Springfield Falcons lines for next game are empty. Current rosters/lines are not erased.
[6/6/2022 10:12:23 PM] Columbus Blue Jackets lines for next game are empty. Current rosters/lines are not erased.
[6/6/2022 10:11:52 PM] Auto Lines Farm Function has been run for Springfield Falcons.
[6/6/2022 10:11:52 PM] Auto Lines Function has been run for Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] Auto Roster Function has been run for Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] Joe Hicketts of Columbus Blue Jackets was sent to farm.
[6/6/2022 10:11:52 PM] Michael McLeod of Columbus Blue Jackets was sent to pro.
[6/6/2022 10:11:52 PM] Scott Moldenhauer was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] Justin Abdelkader was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] Joel Kellman was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] Alexander Barabanov was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] Alex Biega was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] Aleksi Heponiemi was added to Columbus Blue Jackets.
[6/6/2022 10:11:52 PM] Cedric Lacroix was added to Columbus Blue Jackets.

No Injury or Suspension.

Columbus Blue Jackets 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%	P/20	PSG	PSS
1	Ryan Nugent-Hopkins	252	49	65	114	-25	57	108	614	492	9.96%	42	6283	24.93	17	24	41	123	0	2	2	16	19	6	49.98	0.36	7	37
2	Sean Monahan	252	43	68	111	10	91	199	402	419	10.26%	18	5432	21.56	14	30	44	129	2	1	3	19	7	4	52.51	0.41	14	33
3	Colton Parayko	252	28	80	108	-7	513	413	214	242	11.57%	226	6234	24.74	22	23	45	177	1	2	3	5	3	3	0.00%	0.35	0	0
4	Mattias Ekholm	252	22	81	103	-13	173	184	272	243	9.05%	249	5966	23.68	17	38	55	193	1	2	3	3	9	2	0.00%	0.35	0	0
5	Connor Brown	252	50	52	102	-23	26	66	354	437	11.44%	42	5374	21.33	11	36	47	110	3	1	4	11	13	3	41.76	0.38	4	23

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
1	John Gibson	252	117	94	40	0.894	1.72	14983	16	40	429	4062	0	7	4	0.647	119
2	Chris Driedger	12	0	1	0	0.890	1.33	360	0	0	8	73	0	0	0	0.00%	0

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
Regular Season
1	82	31	30	0	3	5	7	6	147	155	-8	41	16	15	0	1	3	4	2	82	87	-5	41	15	15	0	2	2	3	4	65	68	-3	93	147	259	406	1	11	42	52	43	14	1407	412	509	450	77	1378	392	1087	1350	453	45	9.93%	449	47	89.53%	4	1164	2243	51.89%	1123	2191	51.26%	539	1048	51.43%	2027	1402	1975	615	1003	504
2	82	31	28	0	5	4	6	8	146	148	-2	41	16	13	0	3	2	3	4	80	75	5	41	15	15	0	2	2	3	4	66	73	-7	96	146	244	390	3	11	46	40	49	20	1304	420	415	443	78	1362	389	1066	1248	446	45	10.09%	445	47	89.44%	3	1141	2278	50.09%	1141	2222	51.35%	567	1027	55.21%	2028	1403	1971	607	1002	505
3	82	27	35	0	2	8	2	8	125	148	-23	41	12	18	0	1	5	2	3	57	71	-14	41	15	17	0	1	3	0	5	68	77	-9	78	125	219	344	0	12	42	38	41	8	1260	423	397	409	58	1303	411	1040	1317	446	42	9.42%	431	40	90.72%	1	1075	2192	49.04%	1052	2160	48.70%	542	1013	53.50%	2019	1400	1977	609	997	501
3	6	3	2	0	0	1	0	0	16	12	4	3	1	1	0	0	1	0	0	8	6	2	3	2	1	0	0	0	0	0	8	6	2	7	16	26	42	0	2	6	6	4	0	105	31	37	36	1	96	32	69	79	35	10	28.57%	25	3	88.00%	0	81	165	49.09%	79	152	51.97%	43	75	57.33%	149	104	139	44	73	37
Total Regular Season	252	92	95	0	10	18	15	22	434	463	-29	126	45	47	0	5	11	9	9	227	239	-12	126	47	48	0	5	7	6	13	207	224	-17	274	434	748	1182	4	36	136	136	137	42	4076	1286	1358	1338	214	4139	1224	3262	3994	1380	142	10.29%	1350	137	89.85%	8	3461	6878	50.32%	3395	6725	50.48%	1691	3163	53.46%	6225	4311	6064	1878	3076	1548
Playoff
1	19	9	10	0	0	0	0	0	31	35	-4	9	5	4	0	0	0	0	0	16	14	2	10	4	6	0	0	0	0	0	15	21	-6	18	31	58	89	0	4	10	11	8	2	302	99	83	107	13	323	114	245	323	124	11	8.87%	105	11	89.52%	0	252	507	49.70%	296	571	51.84%	104	246	42.28%	471	323	494	156	248	123
2	5	1	4	0	0	0	0	0	4	9	-5	3	0	3	0	0	0	0	0	1	6	-5	2	1	1	0	0	0	0	0	3	3	0	2	4	8	12	0	0	0	2	1	1	75	21	30	20	4	91	22	81	74	36	2	5.56%	35	1	97.14%	0	72	137	52.55%	78	148	52.70%	33	59	55.93%	130	89	133	42	66	32
Total Playoff	24	10	14	0	0	0	0	0	35	44	-9	12	5	7	0	0	0	0	0	17	20	-3	12	5	7	0	0	0	0	0	18	24	-6	20	35	66	101	0	4	10	13	9	3	377	120	113	127	17	414	136	326	397	160	13	8.13%	140	12	91.43%	0	324	644	50.31%	374	719	52.02%	137	305	44.92%	602	413	628	199	314	155

Columbus Blue Jackets 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	PKS	GW	GT	FO%	P/20
1	Ryan Nugent-Hopkins	24	9	9	18	-4	13	12	65	43	20.93%	3	633	26.38	4	5	9	16	1	3	0	51.17	0.57
2	Connor Brown	24	4	12	16	0	4	6	32	49	8.16%	6	549	22.90	2	6	8	16	0	2	0	39.02	0.58
3	Colton Parayko	24	1	8	9	-5	55	47	28	27	3.70%	15	627	26.15	1	5	6	25	0	0	1	0.00%	0.29
4	Mattias Ekholm	24	1	8	9	1	8	20	30	16	6.25%	19	579	24.15	1	3	4	14	0	1	0	0.00%	0.31
5	Timo Meier	24	4	5	9	-1	56	57	23	17	23.53%	1	470	19.59	1	3	4	7	1	0	0	60.61	0.38

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
1	John Gibson	24	10	11	3	0.893	1.73	1493	2	4	43	402	0	1	0	0.00%	0
2	Chris Driedger	2	0	0	0	0.917	1.25	48	0	0	1	12	0	0	0	0.00%	0

	Columbus Blue Jackets
	GP: 6 \| W: 3 \| L: 2 \| OTL: 1 \| P: 7 GF: 16 \| GA: 12 \| PP%: 28.57% \| PK%: 88.00% GM : \| Morale : 39 \| Team Overall : 72 Next Games #109 vs New York Islanders