Profi League - Schedule Pro Blue Jackets

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#	Player Name	Team Name	#	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKM	GW	GT	FO%	FOT	HT	P/20
1	Aleksander Barkov	Blue Jackets	16	C	14	9	9	18	-1	0	0	21	64	19	27	14.06%	2	21.:.42	3	1	4	4	3	0	49.53%	424	1	1.18
2	Mika Zibanejad	Blue Jackets	93	C/RW	14	2	14	16	-3	4	0	13	58	12	47	3.45%	0	22.:.32	0	3	3	11	0	0	52.91%	378	0	1.01
3	Alex Ovechkin	Blue Jackets	8	LW	14	6	9	15	1	8	0	33	58	17	48	10.34%	0	22.:.14	1	1	2	0	1	1	48.15%	27	1	0.96
4	Devon Toews	Blue Jackets	7	D	14	2	9	11	-5	4	0	20	23	7	15	8.70%	20	26.:.54	2	2	4	30	1	0	0.00%	0	0	0.58
5	Claude Giroux	Blue Jackets	28	C/LW/RW	14	6	5	11	-2	4	0	9	42	18	21	14.29%	5	20.:.37	1	2	3	1	1	0	76.19%	21	1	0.76
6	Damon Severson	Blue Jackets	78	D	14	3	7	10	-4	0	0	18	20	5	16	15.00%	18	18.:.48	2	2	4	9	0	0	0.00%	0	0	0.76
7	Chris Kreider	Blue Jackets	20	LW/RW	9	5	5	10	-2	4	0	11	35	6	21	14.29%	0	19.:.44	1	2	3	0	0	0	60.87%	23	0	1.13
8	Boone Jenner	Blue Jackets	38	C/LW	14	3	5	8	-2	11	5	46	35	15	28	8.57%	5	21.:.05	0	1	1	24	1	0	45.28%	159	0	0.54
9	Jaccob Slavin	Blue Jackets	74	D	14	1	6	7	-10	2	0	11	20	4	8	5.00%	28	21.:.32	1	4	5	28	0	0	0.00%	0	0	0.46
10	Cole Caufield	Blue Jackets	13	LW/RW	14	4	3	7	-10	6	0	11	44	8	27	9.09%	1	20.:.03	1	0	1	1	0	0	42.11%	19	0	0.50
11	Brayden McNabb	Blue Jackets	3	D	14	1	3	4	-2	13	5	33	8	0	7	12.50%	15	20.:.03	0	0	0	28	0	0	0.00%	0	0	0.28
12	Jacob Trouba	Blue Jackets	65	D	14	0	3	3	5	23	5	46	9	1	5	0.00%	21	21.:.52	0	1	1	24	0	0	0.00%	0	0	0.20
13	Rickard Rakell	Blue Jackets	67	LW/RW	14	3	0	3	-5	6	0	10	19	4	11	15.79%	0	14.:.48	0	0	0	5	0	0	38.46%	26	0	0.29
14	Justin Schultz	Blue Jackets	4	D	11	0	2	2	-3	0	0	10	9	1	4	0.00%	14	12.:.43	0	0	0	6	0	0	0.00%	0	0	0.29
15	James van Riemsdyk	Blue Jackets	21	LW/RW	13	0	2	2	0	2	0	2	7	5	7	0.00%	1	07.:.55	0	0	0	0	0	0	66.67%	9	0	0.39
16	Lars Eller	Blue Jackets	12	C/LW	14	1	0	1	-7	0	0	8	14	6	19	7.14%	5	13.:.54	0	0	0	31	0	1	48.15%	216	0	0.10
17	Carson Soucy	Blue Jackets	9	D	7	0	0	0	-3	4	0	1	4	0	2	0.00%	5	09.:.24	0	0	0	1	0	0	0.00%	0	0	0.00
18	Trevor Lewis	Blue Jackets	61	C/RW	14	0	0	0	-2	0	0	2	4	1	4	0.00%	1	03.:.47	0	0	0	13	0	0	46.67%	30	0	0.00
19	Julien Gauthier	Monsters (CBJ)	61	LW/RW	2	0	0	0	-1	0	0	0	0	1	0	0.00%	0	04.:.42	0	0	0	0	0	0	0.00%	0	0	0.00
20	Parker Kelly	Blue Jackets	17	C/LW	14	0	0	0	-1	6	0	10	4	3	0	0.00%	2	05.:.25	0	0	0	36	0	0	20.00%	5	0	0.00
Team Total or Average					250	46	82	128	-56	97	15	315	477	132	317	9.64%	143	17:22	12	19	31	259	7	2	49.96%	1337	3	0.59

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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	GA	SA	A	PS %	ST	BG	S1	S2	S3
1	Juuse Saros	Blue Jackets	13	5	5	2	88.9%	3.86	700	45	405	1	0.0%	13	1	1	1	1
2	Carter Hart	Blue Jackets	5	2	0	0	90.1%	2.62	183	8	81	0	0.0%	1	13	0	0	0
Team Total or Average			18	7	5	2	89.1%	3.60	884	53	486	1	0.000	14	14	1	1	1

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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

#	VS Team	GP	W	L	GF	GA	Diff	P	PCT	G	A	TP	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	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	GF%	SH%	SV%	PDO	PDOBRK
1	Penguins	7	4	3	24	26	-2	8	0.571	24	43	67	8	8	8	0	256	65	91	84	16	229	73	62	158	28	6	21.43%	23	5	78.26%	283	548	51.64%	262	539	48.61%	123	250	49.20%	170	115	177	56	100	48	46.2%	9.4%	88.6%	98.0	FUN
2	Sabres	7	3	4	22	27	-5	6	0.429	22	39	61	6	7	8	1	221	70	70	72	9	257	70	35	157	18	6	33.33%	14	3	78.57%	283	548	51.64%	262	539	48.61%	123	250	49.20%	171	117	167	51	98	50	40.0%	10.0%	89.5%	99.4	FUN
	_Vs Division	7	4	3	24	26	-2	8	0.571	24	43	67	8	8	8	0	256	65	91	84	16	229	73	62	158	28	6	21.43%	23	5	78.26%	283	548	51.64%	262	539	48.61%	123	250	49.20%	170	115	177	56	100	48	46.2%	9.4%	88.6%	98.0	FUN
	_Vs Conference	14	7	7	46	53	-7	14	0.500	46	82	128	14	15	16	1	477	135	161	156	25	486	143	97	315	46	12	26.09%	37	8	78.38%	283	548	51.64%	262	539	48.61%	123	250	49.20%	341	232	344	108	199	99	43.0%	9.6%	89.1%	98.7	FUN
	_Since Last GM Reset	14	7	7	46	53	-7	14	0.500	46	82	128	14	15	16	1	477	135	161	156	25	486	143	97	315	46	12	26.09%	37	8	78.38%	283	548	51.64%	262	539	48.61%	123	250	49.20%	341	232	344	108	199	99	43.0%	9.6%	89.1%	98.7	FUN
	Total	14	7	7	46	53	-7	14	0.500	46	82	128	14	15	16	1	477	135	161	156	25	486	143	97	315	46	12	26.09%	37	8	78.38%	283	548	51.64%	262	539	48.61%	123	250	49.20%	341	232	344	108	199	99	43.0%	9.6%	89.1%	98.7	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	14
Defensive Zone	24

	Puck Time
Offensive Zone Start	548
Neutral Zone Start	250
Defensive Zone Start	539

	Puck Time
With Puck	31
Without Puck	31

	Faceoffs
Faceoffs Won	668
Faceoffs Lost	669

	Team Average Shots after	League Average Shots after
1st Period	9.6	10.69
2nd Period	21.1	21.35
3rd Period	32.3	32.03
Overtime	34.1	32.64

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.0	1.08
2nd Period	2.1	2.13
3rd Period	3.2	2.97
Overtime	3.3	3.07


Even Strenght Goal	34
PP Goal	12
PK Goal	0
Empty Net Goal	0

	Home	Away
Win	4	3
Lost	4	3
Overtime Lost	0	0


PP Attempt	46
PP Goal	12
PK Attempt	37
PK Goal Against	8

	Home
Shots For	34.1
Shots Against	34.7
Goals For	3.3
Goals Against	3.8
Hits	22.5
Shots Blocked	10.2
Pim	6.9