Profi League - Schedule Pro Lightning

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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	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	EG	P/20
1	Nathan MacKinnon	Lightning	29	C/RW	16	6	13	19	7	8	0	20	67	18	59	8.96%	0	21.:.48	0	3	3	0	0	0	2	1	0	49.70%	493	0	1.09
2	Mikko Rantanen	Lightning	96	C/LW/RW	16	8	8	16	8	16	0	32	84	17	51	9.52%	5	21.:.33	1	2	3	0	0	0	1	1	0	58.62%	29	0	0.93
3	Victor Hedman	Lightning	77	D	16	3	12	15	2	2	0	22	26	14	11	11.54%	27	24.:.43	2	3	5	0	0	0	40	0	0	0.00%	0	0	0.76
4	Bryan Rust	Lightning	17	LW/RW	16	8	6	14	7	4	0	27	27	8	25	29.63%	3	21.:.05	3	0	3	0	0	0	1	0	0	27.78%	18	0	0.83
5	Jamie Benn	Lightning	14	C/LW	16	5	7	12	3	4	0	18	50	17	35	10.00%	1	15.:.59	0	4	4	0	0	0	29	1	1	55.00%	60	0	0.94
6	Brad Marchand	Lightning	63	C/LW/RW	16	4	6	10	1	6	0	32	68	23	49	5.88%	3	18.:.48	0	1	1	0	0	0	13	1	1	46.15%	26	0	0.66
7	Steven Stamkos	Lightning	91	C/LW/RW	16	5	4	9	1	2	0	21	58	11	38	8.62%	3	18.:.04	1	1	2	0	0	0	0	1	0	54.98%	402	0	0.62
8	Charlie McAvoy	Lightning	73	D	16	2	6	8	5	16	0	49	24	9	17	8.33%	19	23.:.07	1	1	2	0	0	0	47	1	0	0.00%	0	0	0.43
9	Adam Pelech	Lightning	3	D	16	1	6	7	5	14	10	16	17	5	10	5.88%	26	22.:.27	0	1	1	0	1	1	53	0	0	0.00%	0	0	0.39
10	Anthony Cirelli	Lightning	71	C/LW/RW	15	4	3	7	1	8	0	14	33	10	21	12.12%	4	19.:.01	0	0	0	1	0	1	63	2	0	49.60%	125	0	0.49
11	Jani Hakanpaa	Lightning	2	D	14	0	7	7	2	23	5	38	6	5	3	0.00%	22	21.:.16	0	0	0	0	0	0	34	0	0	0.00%	0	0	0.47
12	J.J. Peterka	Lightning	7	C/LW/RW	12	3	2	5	4	4	0	8	16	6	10	18.75%	2	11.:.06	0	0	0	0	0	0	0	0	1	12.50%	8	1	0.75
13	Erik Haula	Lightning	56	C/LW	16	1	3	4	2	4	0	16	21	10	21	4.76%	4	13.:.17	0	0	0	0	0	0	44	0	0	53.94%	241	0	0.38
14	Tyler Myers	Lightning	57	D	16	1	3	4	-1	18	0	31	8	2	5	12.50%	24	16.:.51	1	0	1	0	0	0	40	0	0	0.00%	0	0	0.30
15	Mark Giordano	Lightning	55	D	6	0	2	2	0	4	0	11	2	1	2	0.00%	4	15.:.01	0	0	0	0	0	0	7	0	0	0.00%	0	0	0.44
16	Rasmus Sandin	Lightning	38	D	12	0	2	2	5	4	0	8	10	4	3	0.00%	10	15.:.05	0	0	0	0	0	0	4	0	0	0.00%	0	0	0.22
17	Noel Acciari	Lightning	65	C/LW/RW	16	0	1	1	-1	10	0	15	5	1	5	0.00%	2	08.:.09	0	0	0	0	0	0	61	0	0	69.23%	13	0	0.15
18	Simon Holmstrom	Lightning	10	LW/RW	16	1	0	1	-1	0	0	3	5	2	7	20.00%	0	04.:.20	0	0	0	0	0	0	0	1	0	66.67%	3	0	0.29
19	Jeff Carter	Lightning	77	C/LW/RW	16	0	0	0	-1	0	0	2	8	7	6	0.00%	1	04.:.53	0	0	0	0	0	0	8	0	0	58.24%	91	0	0.00
20	Pavel Dorofeyev	Lightning	16	LW/RW	5	0	0	0	-5	0	0	1	4	2	0	0.00%	1	09.:.17	0	0	0	0	0	0	0	0	0	33.33%	3	0	0.00
Team Total or Average					288	52	91	143	44	147	15	384	539	172	378	9.65%	161	16:39	9	16	25	1	1	2	457	9	3	52.31%	1512	1	0.60

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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	PS %	ST	BG	S1	S2
1	Thatcher Demko	Lightning	13	7	5	1	89.4%	3.22	801	2	1	43	406	0.0%	13	3	1	1
2	Alexandar Georgiev	Lightning	3	2	0	1	92.7%	1.99	181	0	0	6	82	0.0%	3	13	0	0
Team Total or Average			16	9	5	2	90.0%	2.99	982	2	1	49	488	0.000	16	16	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	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	Rangers	5	4	1	14	9	5	8	0.800	14	25	39	1	3	8	3	0	157	49	50	58	0	146	44	45	121	13	2	15.38%	21	3	85.71%	0	326	629	51.83%	338	607	55.68%	127	276	46.01%	115	75	119	39	65	33	66.7%	8.9%	93.8%	102.8	Unlucky
2	Senators	6	4	2	24	20	4	8	0.667	24	41	65	0	5	8	10	1	198	48	63	80	7	196	67	63	136	11	3	27.27%	29	7	75.86%	1	326	629	51.83%	338	607	55.68%	127	276	46.01%	137	93	150	47	79	37	61.8%	12.1%	89.8%	101.9	FUN
3	Sabres	5	1	4	14	20	-6	2	0.200	14	25	39	0	6	5	3	0	184	64	54	60	6	146	50	41	127	18	4	22.22%	16	5	68.75%	0	326	629	51.83%	338	607	55.68%	127	276	46.01%	125	83	118	37	70	35	40.0%	7.6%	86.3%	93.9	Unlucky
	_Vs Division	11	5	6	38	40	-2	10	0.455	38	66	104	0	11	13	13	1	382	112	117	140	13	342	117	104	263	29	7	24.14%	45	12	73.33%	1	326	629	51.83%	338	607	55.68%	127	276	46.01%	263	177	269	85	149	73	52.5%	9.9%	88.3%	98.3	FUN
	_Vs Conference	16	9	7	52	49	3	18	0.563	52	91	143	1	14	21	16	1	539	161	167	198	13	488	161	149	384	42	9	21.43%	66	15	77.27%	1	326	629	51.83%	338	607	55.68%	127	276	46.01%	379	253	388	124	215	106	55.8%	9.6%	90.0%	99.6	FUN
	_Since Last GM Reset	16	9	7	52	49	3	18	0.563	52	91	143	1	14	21	16	1	539	161	167	198	13	488	161	149	384	42	9	21.43%	66	15	77.27%	1	326	629	51.83%	338	607	55.68%	127	276	46.01%	379	253	388	124	215	106	55.8%	9.6%	90.0%	99.6	FUN
	Total	16	9	7	52	49	3	18	0.563	52	91	143	1	14	21	16	1	539	161	167	198	13	488	161	149	384	42	9	21.43%	66	15	77.27%	1	326	629	51.83%	338	607	55.68%	127	276	46.01%	379	253	388	124	215	106	55.8%	9.6%	90.0%	99.6	FUN

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	629
Neutral Zone Start	276
Defensive Zone Start	607

	Puck Time
With Puck	30
Without Puck	31

	Faceoffs
Faceoffs Won	791
Faceoffs Lost	721

	Team Average Shots after	League Average Shots after
1st Period	10.1	10.69
2nd Period	20.5	21.35
3rd Period	32.9	32.03
Overtime	33.7	32.64

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.9	1.08
2nd Period	2.2	2.13
3rd Period	3.2	2.97
Overtime	3.3	3.07


Even Strenght Goal	42
PP Goal	9
PK Goal	1
Empty Net Goal	0

	Home	Away
Win	4	5
Lost	5	2
Overtime Lost	0	0


PP Attempt	42
PP Goal	9
PK Attempt	66
PK Goal Against	15

	Home
Shots For	33.7
Shots Against	30.5
Goals For	3.3
Goals Against	3.1
Hits	24.0
Shots Blocked	10.1
Pim	9.3