Profi League - Schedule Pro Panthers

Final
PIT	0
CBJ	2

Final
MIN	3
NSH	1

May
14

Thursday, May 14
CBJ
PIT

Panthers

Florida Panthers
8-2-0, 16pts · 2nd in Eastern 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	Nikita Kucherov	Panthers	86	RW	10	6	6	12	-1	4	0	14	54	15	31	11.11%	2	21.:.50	2	4	6	0	0	0	0	2	1	43.75%	16	0	0	0	0	1.10	0	0
2	Brayden Point	Panthers	21	C	10	5	7	12	-1	0	0	10	37	10	43	13.51%	2	22.:.20	4	2	6	0	0	0	4	1	1	49.48%	291	0	0	0	0	1.07	0	0
3	Brandon Hagel	Panthers	38	LW	10	6	5	11	1	8	0	17	43	8	20	13.95%	2	23.:.29	1	1	2	2	0	2	20	2	0	40.00%	10	0	0	0	0	0.94	0	0
4	Vince Dunn	Panthers	29	D	10	1	7	8	2	4	0	19	12	4	10	8.33%	13	23.:.05	1	4	5	0	0	0	8	0	0	0.00%	0	0	0	0	0	0.69	0	0
5	Joel Eriksson Ek	Panthers	14	C	10	3	3	6	4	8	0	23	32	10	13	9.38%	4	17.:.23	0	0	0	0	2	2	18	1	0	48.54%	239	0	0	1	0	0.69	0	0
6	Conor Garland	Panthers	83	LW/RW	10	2	3	5	4	9	5	7	22	7	23	9.09%	0	16.:.50	0	1	1	0	0	0	0	1	0	20.00%	10	0	0	0	0	0.59	0	0
7	Brock Nelson	Panthers	11	C	10	3	2	5	2	2	0	6	29	9	20	10.34%	1	17.:.06	0	1	1	0	0	0	0	0	0	48.29%	205	0	0	0	0	0.58	0	0
8	Ross Colton	Panthers	20	C/LW/RW	10	1	4	5	3	10	0	20	19	8	12	5.26%	0	15.:.27	0	0	0	0	0	0	0	0	0	69.23%	13	0	0	0	0	0.65	0	0
9	Artturi Lehkonen	Panthers	52	LW/RW	10	1	2	3	0	4	0	11	19	9	22	5.26%	1	16.:.19	0	1	1	0	0	0	5	0	0	18.18%	11	0	0	0	0	0.37	0	0
10	Brandon Montour	Panthers	62	D	10	0	3	3	4	11	5	9	5	1	5	0.00%	22	21.:.00	0	0	0	0	0	0	31	0	0	0.00%	0	0	0	0	0	0.29	0	0
11	Dylan Samberg	Panthers	54	D	10	0	3	3	1	4	0	6	10	6	4	0.00%	9	19.:.54	0	0	0	0	1	1	43	0	0	0.00%	0	0	0	0	0	0.30	0	0
12	Cole Perfetti	Panthers	91	C/LW/RW	10	0	2	2	1	0	0	10	21	7	7	0.00%	1	15.:.21	0	0	0	0	0	0	0	0	0	23.08%	13	0	0	0	0	0.26	0	0
13	Jarred Tinordi	Panthers	23	D	10	0	2	2	1	26	10	25	2	0	2	0.00%	9	15.:.54	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0	0	0.25	0	0
14	Casey Cizikas	Panthers	53	C	10	1	1	2	2	0	0	3	2	0	1	50.00%	1	05.:.14	0	0	0	1	1	2	52	0	0	53.33%	105	0	0	0	0	0.76	0	0
15	Adam Larsson	Panthers	6	D	10	0	1	1	5	15	5	28	11	3	5	0.00%	19	22.:.10	0	0	0	0	0	0	29	0	0	0.00%	0	0	0	0	0	0.09	0	0
16	Zach Whitecloud	Panthers	2	D	10	1	0	1	1	4	0	17	9	0	5	11.11%	16	18.:.17	0	0	0	1	0	1	39	1	0	0.00%	0	0	0	0	0	0.11	0	0
17	Scott Laughton	Panthers	24	C/LW	10	0	1	1	2	0	0	2	1	0	1	0.00%	0	05.:.11	0	0	0	0	1	1	51	0	0	75.00%	4	0	0	0	0	0.38	0	0
18	Corey Perry	Panthers	10	RW	10	0	0	0	0	0	0	1	0	0	1	0.00%	0	00.:.23	0	0	0	0	0	0	0	0	0	0.00%	2	0	0	0	0	0.00	0	0
Team Total or Average					180	30	52	82	31	109	25	228	328	97	225	9.15%	102	16:31	8	14	22	4	5	9	306	8	2	48.42%	919	0	0	1	0	0.55	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	Anthony Stolarz	Panthers	9	7	2	0	94.2%	1.85	551	0	1	17	295	0	1	0	0.0%	0	9	1	2	1	1
2	Pyotr Kochetkov	Panthers	1	1	0	0	92.5%	3.00	60	0	0	3	40	0	0	0	0.0%	0	1	9	0	0	0
Team Total or Average			10	8	2	0	94.0%	1.96	611	0	1	20	335	0	1	0	0.000	0	10	10	2	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	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	Sabres	4	4	0	0	0	0	0	0	16	9	7	8	1.000	16	30	46	0	0	4	3	8	1	134	48	40	38	8	150	40	38	100	11	5	45.45%	19	2	89.47%	1	184	384	47.92%	189	392	48.21%	72	143	50.35%	87	57	107	31	52	25	61.1%	11.9%	94.0%	105.9	LUCKY
2	Maple Leafs	6	4	2	0	0	0	0	0	14	11	3	8	0.667	14	22	36	0	1	5	2	6	1	194	73	63	56	2	185	62	71	128	18	3	16.67%	22	3	86.36%	3	184	384	47.92%	189	392	48.21%	72	143	50.35%	133	84	148	47	80	39	57.9%	7.2%	94.1%	101.3	DULL
	_Vs Division	10	8	2	0	0	0	0	0	30	20	10	16	0.800	30	52	82	0	1	9	5	14	2	328	121	103	94	10	335	102	109	228	29	8	27.59%	41	5	87.80%	4	184	384	47.92%	189	392	48.21%	72	143	50.35%	221	141	256	79	133	64	59.5%	9.1%	94.0%	103.2	LUCKY
	_Vs Conference	10	8	2	0	0	0	0	0	30	20	10	16	0.800	30	52	82	0	1	9	5	14	2	328	121	103	94	10	335	102	109	228	29	8	27.59%	41	5	87.80%	4	184	384	47.92%	189	392	48.21%	72	143	50.35%	221	141	256	79	133	64	59.5%	9.1%	94.0%	103.2	LUCKY
	_Since Last GM Reset	10	8	2	0	0	0	0	0	30	20	10	16	0.800	30	52	82	0	1	9	5	14	2	328	121	103	94	10	335	102	109	228	29	8	27.59%	41	5	87.80%	4	184	384	47.92%	189	392	48.21%	72	143	50.35%	221	141	256	79	133	64	59.5%	9.1%	94.0%	103.2	LUCKY
	Total	10	8	2	0	0	0	0	0	30	20	10	16	0.800	30	52	82	0	1	9	5	14	2	328	121	103	94	10	335	102	109	228	29	8	27.59%	41	5	87.80%	4	184	384	47.92%	189	392	48.21%	72	143	50.35%	221	141	256	79	133	64	59.5%	9.1%	94.0%	103.2	LUCKY

	Puck Time
Offensive Zone	22
Neutral Zone	13
Defensive Zone	25

	Puck Time
Offensive Zone Start	384
Neutral Zone Start	143
Defensive Zone Start	392

	Puck Time
With Puck	28
Without Puck	32

	Faceoffs
Faceoffs Won	445
Faceoffs Lost	474

	Team Average Shots after	League Average Shots after
1st Period	12.1	10.69
2nd Period	22.4	21.35
3rd Period	31.8	32.03
Overtime	32.8	32.64

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.9	1.08
2nd Period	1.4	2.13
3rd Period	2.8	2.97
Overtime	3.0	3.07


Even Strenght Goal	18
PP Goal	8
PK Goal	4
Empty Net Goal	0

	Home	Away
Win	3	5
Lost	2	0
Overtime Lost	0	0


PP Attempt	29
PP Goal	8
PK Attempt	41
PK Goal Against	5

	Home
Shots For	32.8
Shots Against	33.5
Goals For	3.0
Goals Against	2.0
Hits	22.8
Shots Blocked	10.2
Pim	10.9