Profi League - Schedule Pro Kings

Final
BUF	3
STL	4

Jun
5

Thursday, Jun 5
STL
BUF

Kings

Los Angeles Kings
4-5-0, 8pts · 5th in Western Conference

Player Stats

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3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
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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.
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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	SHT	OSB	OSM	SHT%	SB	MP	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS
1	Jesper Bratt	Kings	63	LW/RW	9	3	4	7	0	0	0	21	28	10	24	10.71%	1	21.:.48	0	0	0	0	0	0	29	1	0	57.14%	14	0	0	0	0	0.71	0	0
2	Josh Morrissey	Kings	44	D	9	1	5	6	4	6	0	9	13	2	7	7.69%	15	23.:.44	1	0	1	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.56	0	0
3	Artemi Panarin	Kings	10	LW	9	2	3	5	3	0	0	12	47	11	38	4.26%	0	21.:.45	0	2	2	0	0	0	0	1	0	47.06%	17	0	0	0	0	0.51	0	0
4	Evgeni Malkin	Kings	71	C	9	2	3	5	3	4	0	15	24	6	12	8.33%	4	21.:.42	0	1	1	0	0	0	0	1	0	52.11%	284	0	0	0	0	0.51	0	0
5	Alexandre Carrier	Kings	45	D	9	1	3	4	-1	10	0	6	3	3	5	33.33%	9	15.:.48	0	0	0	0	0	0	22	0	0	0.00%	0	0	0	0	0	0.56	0	0
6	Carter Verhaeghe	Kings	23	LW/RW	9	2	2	4	3	2	0	13	30	10	22	6.67%	2	21.:.24	0	0	0	0	0	0	0	0	0	58.33%	12	0	0	0	0	0.42	0	0
7	Kris Letang	Kings	58	D	9	0	4	4	0	10	0	20	12	7	5	0.00%	15	22.:.30	0	1	1	0	0	0	24	0	0	0.00%	0	0	0	0	0	0.39	0	0
8	Artem Zub	Kings	2	D	9	2	1	3	2	4	0	20	14	3	6	14.29%	15	24.:.03	1	0	1	0	0	0	20	0	0	0.00%	0	0	0	0	0	0.28	0	0
9	Jacob Middleton	Kings	5	D	9	1	2	3	-2	9	5	14	13	3	4	7.69%	16	20.:.40	0	0	0	0	0	0	26	1	0	0.00%	0	0	0	0	0	0.32	0	0
10	Jason Zucker	Kings	16	LW/RW	9	1	2	3	-2	6	0	11	4	0	6	25.00%	1	10.:.56	0	0	0	0	0	0	0	0	0	22.22%	9	0	0	0	0	0.61	0	0
11	Thomas Novak	Kings	82	C	9	1	2	3	0	0	0	8	15	8	10	6.67%	4	18.:.26	0	0	0	0	0	0	0	0	0	39.84%	246	0	0	0	0	0.36	0	0
12	Conor Garland	Kings	8	LW/RW	9	2	0	2	-2	0	0	5	8	3	2	25.00%	0	11.:.03	0	0	0	0	0	0	0	0	0	28.57%	7	0	0	0	0	0.40	0	0
13	Philipp Kurashev	Kings	24	C/LW/RW	9	0	2	2	0	2	0	6	28	10	11	0.00%	0	18.:.21	0	0	0	0	0	0	0	0	0	14.29%	7	0	0	0	0	0.24	0	0
14	Blake Lizotte	Kings	46	C/LW	9	1	0	1	0	0	0	2	7	1	2	14.29%	0	05.:.53	0	0	0	0	0	0	21	0	0	50.65%	77	0	0	0	0	0.38	0	0
15	Mikael Backlund	Kings	11	C	9	0	1	1	-2	0	0	7	10	2	12	0.00%	3	14.:.10	0	0	0	0	0	0	29	0	0	48.89%	180	0	0	0	0	0.16	0	0
16	Alexander Toropchenko	Kings	13	LW/RW	9	0	0	0	0	0	0	3	4	3	4	0.00%	0	05.:.36	0	0	0	0	0	0	19	0	0	60.00%	5	0	0	0	0	0.00	0	0
17	Joel Edmundson	Kings	6	D	9	0	0	0	-1	4	0	15	4	0	3	0.00%	4	13.:.33	0	0	0	0	0	0	5	0	0	0.00%	0	0	0	0	0	0.00	0	0
18	Justin Danforth	Kings	17	C/RW	9	0	0	0	0	4	0	2	2	1	2	0.00%	0	03.:.19	0	0	0	0	0	0	0	0	0	33.33%	3	0	0	0	0	0.00	0	0
Team Total or Average					162	19	34	53	5	61	5	189	266	83	175	7.14%	89	16:22	2	4	6	0	0	0	200	4	0	47.04%	861	0	0	0	0	0.40	0	0

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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

#	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	Linus Ullmark	Kings	7	3	4	0	93.9%	2.28	421	2	1	16	262	0	0	0	0.0%	0	7	1	3	0	0
2	Jonathan Quick	Kings	2	1	1	0	94.1%	2.03	118	0	0	4	68	0	0	0	0.0%	0	2	7	0	0	0
Team Total or Average			9	4	5	0	93.9%	2.22	540	2	1	20	330	0	0	0	0.000	0	9	8	3	0	0

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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	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	GF%	SH%	SV%	PDO	PDOBRK
1	Blues	4	0	4	0	0	0	0	0	7	14	-7	0	0.000	7	11	18	0	0	5	1	1	0	123	48	36	39	0	167	42	28	90	11	1	9.09%	14	4	71.43%	0	152	333	45.65%	190	396	47.98%	63	132	47.73%	82	51	107	31	50	24	37.5%	5.7%	91.6%	97.3	DULL
2	Predators	5	4	1	0	0	0	0	0	12	6	6	8	0.800	12	23	35	0	1	4	4	3	1	143	39	40	60	4	163	47	35	99	15	1	6.67%	13	0	100.00%	0	152	333	45.65%	190	396	47.98%	63	132	47.73%	116	78	117	39	67	33	64.7%	8.4%	96.3%	104.7	DULL
	_Vs Conference	9	4	5	0	0	0	0	0	19	20	-1	8	0.444	19	34	53	0	1	9	5	4	1	266	87	76	99	4	330	89	63	189	26	2	7.69%	27	4	85.19%	0	152	333	45.65%	190	396	47.98%	63	132	47.73%	199	130	224	71	117	57	51.5%	7.1%	93.9%	101.1	DULL
	_Since Last GM Reset	9	4	5	0	0	0	0	0	19	20	-1	8	0.444	19	34	53	0	1	9	5	4	1	266	87	76	99	4	330	89	63	189	26	2	7.69%	27	4	85.19%	0	152	333	45.65%	190	396	47.98%	63	132	47.73%	199	130	224	71	117	57	51.5%	7.1%	93.9%	101.1	DULL
	Total	9	4	5	0	0	0	0	0	19	20	-1	8	0.444	19	34	53	0	1	9	5	4	1	266	87	76	99	4	330	89	63	189	26	2	7.69%	27	4	85.19%	0	152	333	45.65%	190	396	47.98%	63	132	47.73%	199	130	224	71	117	57	51.5%	7.1%	93.9%	101.1	DULL

	Puck Time
Offensive Zone	22
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	333
Neutral Zone Start	132
Defensive Zone Start	396

	Puck Time
With Puck	28
Without Puck	31

	Faceoffs
Faceoffs Won	405
Faceoffs Lost	456

	Team Average Shots after	League Average Shots after
1st Period	9.7	10.69
2nd Period	18.1	21.35
3rd Period	29.1	32.03
Overtime	29.6	32.64

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.0	1.08
2nd Period	1.6	2.13
3rd Period	2.0	2.97
Overtime	2.1	3.07


Even Strenght Goal	17
PP Goal	2
PK Goal	0
Empty Net Goal	0

	Home	Away
Win	2	2
Lost	2	3
Overtime Lost	0	0


PP Attempt	26
PP Goal	2
PK Attempt	27
PK Goal Against	4

	Home
Shots For	29.6
Shots Against	36.7
Goals For	2.1
Goals Against	2.2
Hits	21.0
Shots Blocked	9.9
Pim	7.0