Profi League - Schedule Pro Flyers

Final
SEA	4
CBJ	2

Aug
27

Flyers

Philadelphia Flyers
8-4-2, 18pts · 2nd in Group A

Player Stats

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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	GA	TA	EG	HT	P/20	PSG	PSS
1	Auston Matthews	Flyers	34	C	15	6	7	13	0	0	0	7	73	22	59	8.22%	3	21.98	2	1	3	0	0	0	12	1	0	51.54%	456	0	0	0	0	0.79	0	2
2	Gabriel Landeskog	Flyers	92	LW/RW	15	4	8	12	0	16	0	55	51	14	49	7.84%	1	21.18	1	3	4	0	0	0	0	1	1	33.33%	27	0	0	0	0	0.76	1	2
3	Vladimir Tarasenko	Flyers	0	RW	15	4	8	12	-1	4	0	27	53	16	25	7.55%	3	20.71	0	2	2	0	0	0	0	2	0	41.18%	17	0	0	0	0	0.77	0	0
4	Nico Hischier	Flyers	13	C	15	6	5	11	1	0	0	14	48	16	44	12.50%	2	17.23	1	0	1	0	0	0	2	0	1	47.16%	352	0	0	0	0	0.85	0	0
5	Jack Eichel	Flyers	9	C	15	3	7	10	3	2	0	14	45	12	21	6.67%	3	12.81	0	3	3	0	0	0	0	1	0	50.26%	193	0	0	0	0	1.04	0	0
6	Erik Karlsson	Flyers	65	D	15	0	10	10	0	4	0	10	25	7	15	0.00%	19	19.51	0	2	2	0	0	0	4	0	0	0.00%	0	0	0	0	0	0.68	0	0
7	Ondrej Palat	Flyers	18	LW	15	2	7	9	1	2	0	22	31	13	23	6.45%	0	17.01	0	0	0	0	0	0	0	0	1	44.44%	18	0	0	0	0	0.71	0	0
8	Justin Faulk	Flyers	27	D	15	3	6	9	4	14	0	37	20	9	16	15.00%	22	24.11	1	2	3	0	0	0	37	0	0	0.00%	0	0	0	0	0	0.50	0	0
9	Claude Giroux	Flyers	28	C/LW/RW	15	5	4	9	2	4	0	20	36	14	37	13.89%	0	19.08	3	1	4	0	0	0	26	1	0	37.25%	51	0	0	0	0	0.63	0	2
10	Brent Burns	Flyers	8	D	15	3	5	8	4	2	0	22	24	3	14	12.50%	31	25.82	0	1	1	0	0	0	50	0	1	0.00%	0	0	0	0	0	0.41	0	0
11	Ryan Strome	Flyers	16	C/RW	15	4	4	8	4	4	0	13	24	7	18	16.67%	2	13.70	0	0	0	0	0	0	58	1	0	66.67%	12	0	0	0	0	0.78	0	0
12	Justin Holl	Flyers	3	D	15	1	5	6	5	18	0	24	10	0	5	10.00%	14	14.98	0	0	0	0	0	0	39	0	0	0.00%	0	0	0	0	0	0.53	0	0
13	Brandon Hagel	Flyers	22	LW	15	2	3	5	4	6	0	5	13	2	8	15.38%	3	6.04	0	0	0	0	0	0	0	0	0	60.00%	10	0	0	0	0	1.10	0	0
14	Jamie Benn	Flyers	0	C/LW	15	0	4	4	4	4	0	25	14	4	14	0.00%	2	13.66	0	0	0	0	0	0	57	0	0	49.19%	124	0	0	0	0	0.39	0	0
15	Kyle Okposo	Flyers	0	RW	15	2	2	4	4	6	0	8	10	5	10	20.00%	1	7.93	0	0	0	0	0	0	25	0	0	60.00%	5	0	0	0	0	0.67	0	0
16	Christian Dvorak	Flyers	81	C/LW	15	2	1	3	4	0	0	7	17	5	13	11.76%	1	6.45	0	0	0	0	0	0	6	0	0	42.61%	115	0	0	0	0	0.62	0	0
17	TJ Brodie	Flyers	7	D	15	1	2	3	5	6	0	11	11	2	3	9.09%	23	15.16	0	0	0	0	0	0	40	1	0	0.00%	0	0	0	0	0	0.26	0	0
18	Dmitry Orlov	Flyers	9	D	15	1	2	3	1	12	0	47	10	5	9	10.00%	19	18.20	0	0	0	0	0	0	19	0	0	0.00%	0	0	0	0	0	0.22	0	0
Team Total or Average					270	49	90	139	45	104	0	368	515	156	383	9.51%	149	16.42	8	15	23	0	0	0	380	8	4	48.41%	1380	0	0	0	0	0.63	1	6

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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	Cam Talbot	Flyers	15	8	5	2	0.917	2.64	908	4	0	40	484	0	0	1	0.400	5	15	0	1	0	1
Team Total or Average			15	8	5	2	0.917	2.64	908	4	0	40	484	0	0	1	0.400	5	15	0	1	0	1

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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`)
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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	Capitals	2	0	2	0	0	0	0	0	1	6	-5	0	0.000	1	2	3	0	0	0	1	0	0	76	29	24	23	0	55	11	12	58	6	0	0.00%	6	1	83.33%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	49	33	42	15	27	14	16.7%	1.3%	89.1%	90.4	Unlucky
2	Senators	2	1	0	0	0	0	0	1	10	6	4	3	0.750	10	18	28	0	0	5	3	2	0	91	28	28	29	9	58	17	14	34	7	1	14.29%	7	2	71.43%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	55	40	43	14	25	13	69.2%	11.0%	89.7%	100.6	FUN
3	Predators	2	2	0	0	0	0	0	0	8	4	4	4	1.000	8	15	23	0	0	1	4	3	0	59	13	29	17	0	64	14	14	53	6	2	33.33%	7	2	71.43%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	47	32	47	15	25	13	75.0%	13.6%	93.8%	107.3	LUCKY
4	Wild	2	1	1	0	0	0	0	0	6	7	-1	2	0.500	6	12	18	1	0	2	1	3	0	54	17	12	25	0	62	22	18	55	3	1	33.33%	9	1	88.89%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	43	28	50	15	25	12	45.5%	11.1%	88.7%	99.8	FUN
5	Flames	2	2	0	0	0	0	0	0	10	5	5	4	1.000	10	19	29	0	0	3	4	3	0	67	31	18	18	0	74	20	14	43	11	1	9.09%	7	1	85.71%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	50	34	43	15	25	12	69.2%	14.9%	93.2%	108.2	LUCKY
6	Canucks	2	1	0	0	0	0	0	1	6	5	1	3	0.750	6	11	17	0	0	0	6	0	1	57	19	24	13	4	70	29	14	49	4	2	50.00%	7	0	100.00%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	44	30	53	14	26	13	44.4%	10.5%	92.9%	103.4	LUCKY
7	Kraken	2	1	1	0	0	0	0	0	6	5	1	2	0.500	6	10	16	0	0	1	3	2	0	66	22	27	17	0	70	28	18	52	2	1	50.00%	9	1	88.89%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	39	25	54	15	25	11	55.6%	9.1%	92.9%	101.9	LUCKY
	_Vs Division	14	8	4	0	0	0	0	2	47	38	9	18	0.643	47	87	134	1	0	12	22	13	1	470	159	162	142	13	453	141	104	344	39	8	20.51%	52	8	84.62%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	332	225	335	106	182	91	56.5%	10.0%	91.6%	101.6	LUCKY
	_Vs Conference	14	8	4	0	0	0	0	2	47	38	9	18	0.643	47	87	134	1	0	12	22	13	1	470	159	162	142	13	453	141	104	344	39	8	20.51%	52	8	84.62%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	332	225	335	106	182	91	56.5%	10.0%	91.6%	101.6	LUCKY
	_Since Last GM Reset	14	8	4	0	0	0	0	2	47	38	9	18	0.643	47	87	134	1	0	12	22	13	1	470	159	162	142	13	453	141	104	344	39	8	20.51%	52	8	84.62%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	332	225	335	106	182	91	56.5%	10.0%	91.6%	101.6	LUCKY
	Total	14	8	4	0	0	0	0	2	47	38	9	18	0.643	47	87	134	1	0	12	22	13	1	470	159	162	142	13	453	141	104	344	39	8	20.51%	52	8	84.62%	0	259	515	50.29%	254	539	47.12%	112	220	50.91%	332	225	335	106	182	91	56.5%	10.0%	91.6%	101.6	LUCKY

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	515
Neutral Zone Start	220
Defensive Zone Start	539

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	625
Faceoffs Lost	649

	Team Average Shots after	League Average Shots after
1st Period	11.4	10.69
2nd Period	22.9	21.35
3rd Period	33.1	32.03
Overtime	34.0	32.64

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.9	1.08
2nd Period	2.4	2.13
3rd Period	3.4	2.97
Overtime	3.4	3.07


Even Strenght Goal	38
PP Goal	8
PK Goal	0
Empty Net Goal	1

	Home	Away
Win	6	2
Lost	1	3
Overtime Lost	0	2


PP Attempt	39
PP Goal	8
PK Attempt	52
PK Goal Against	8

	Home
Shots For	33.6
Shots Against	32.4
Goals For	3.4
Goals Against	2.7
Hits	24.6
Shots Blocked	10.1
Pim	7.4