Puckéligue - Calendrier Pro Hurricanes

STATISTIQUE

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Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG
1	Cale Makar	Hurricanes	D	20	4	14	18	2	0	0	3	36	16	27	11.11%	29	23.17	2	6	8	62	0	0	55	2	0	0.00%	0	0	0	0	0	0.78	0	0
2	Connor McDavid	Hurricanes	C	20	7	9	16	-3	6	0	16	77	23	58	9.09%	6	19.11	1	2	3	64	0	0	0	0	1	55.05%	485	0	0	0	0	0.84	0	1
3	J.T. Compher	Hurricanes	C/RW	20	8	7	15	0	0	0	3	48	8	33	16.67%	4	19.39	1	4	5	42	0	0	33	1	0	49.51%	103	0	0	1	0	0.77	0	0
4	Alex Killorn	Hurricanes	LW/RW	20	5	8	13	9	10	0	24	53	14	46	9.43%	2	16.57	0	2	2	63	0	0	5	2	1	34.62%	26	0	0	0	0	0.78	0	1
5	Jason Dickinson	Hurricanes	C/LW/RW	20	6	6	12	8	10	0	30	54	11	38	11.11%	7	19.38	1	2	3	49	0	0	68	0	0	55.12%	557	0	0	0	1	0.62	0	0
6	Viktor Arvidsson	Hurricanes	LW/RW	20	6	6	12	6	4	0	5	61	16	39	9.84%	0	16.46	2	0	2	59	0	0	0	0	0	28.00%	25	0	0	0	0	0.73	0	1
7	Sam Bennett	Hurricanes	C/LW	20	3	8	11	4	17	5	58	43	9	40	6.98%	1	18.37	0	2	2	63	0	0	9	1	0	52.56%	78	0	0	0	0	0.60	1	1
8	Zach Hyman	Hurricanes	LW/RW	20	5	6	11	-4	12	0	33	55	23	48	9.09%	0	17.84	3	0	3	48	0	0	0	1	1	32.26%	31	0	0	0	0	0.62	0	0
9	Noah Dobson	Hurricanes	D	20	2	9	11	-1	8	0	27	23	8	23	8.70%	20	20.23	1	1	2	61	0	0	19	0	0	0.00%	0	0	0	0	0	0.54	0	0
10	Brandon Carlo	Hurricanes	D	20	2	6	8	5	6	0	19	31	11	22	6.45%	26	20.62	2	1	3	58	0	0	59	0	0	0.00%	0	0	0	0	0	0.39	0	0
11	Logan O'Connor	Hurricanes	RW	20	3	4	7	3	2	0	10	43	12	38	6.98%	7	15.43	0	0	0	0	0	0	70	0	0	18.75%	16	0	0	1	0	0.45	0	0
12	Nikita Zadorov	Hurricanes	D	18	1	6	7	6	55	5	30	9	3	1	11.11%	14	14.77	0	0	0	3	0	0	7	0	0	0.00%	0	0	0	0	0	0.53	0	0
13	Pierre-Luc Dubois	Hurricanes	C	20	3	3	6	3	4	0	12	23	5	22	13.04%	2	11.65	0	0	0	8	0	0	1	1	0	53.02%	281	0	0	0	0	0.51	1	1
14	Justin Danforth	Hurricanes	C/RW	20	1	4	5	-1	4	0	9	15	0	16	6.67%	2	7.06	0	0	0	0	0	0	13	0	0	40.28%	144	0	0	0	0	0.71	0	0
15	Samuel Girard	Hurricanes	D	19	0	4	4	0	4	0	20	26	5	20	0.00%	21	21.46	0	2	2	56	0	0	48	0	0	0.00%	0	0	0	0	0	0.20	0	0
16	Mattias Samuelsson	Hurricanes	D	20	2	1	3	1	24	0	64	16	2	6	12.50%	19	19.85	0	0	0	4	0	0	49	1	0	0.00%	0	0	0	0	0	0.15	0	0
17	AJ Greer	Hurricanes	LW/RW	17	1	1	2	-3	2	0	9	6	1	9	16.67%	2	6.45	0	0	0	0	0	0	0	0	0	25.00%	4	0	0	0	0	0.36	0	0
18	Jalen Chatfield	Checkers (CAR)	D	4	0	1	1	0	4	0	7	2	1	2	0.00%	0	19.25	0	0	0	5	0	0	3	0	0	0.00%	0	0	0	0	0	0.26	0	0
19	Uvis Balinskis	Checkers (CAR)	D	2	0	0	0	-1	0	0	2	0	0	0	0.00%	2	15.04	0	0	0	0	0	0	1	0	0	0.00%	0	0	0	0	0	0.00	0	0
20	Mikael Pyyhtia (R)	Hurricanes	C	7	0	0	0	-2	0	0	0	4	0	1	0.00%	1	8.93	0	0	0	0	0	0	12	0	0	16.67%	6	0	0	0	0	0.00	0	0
Moyenne d'équipe		347	59	103	162	32	172	10	381	625	168	489	9.44%	165	16.87	13	22	35	651	0	0	458	9	3	51.48%	1756	0	0	2	1	0.55	2	5

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	PCT	GAA	MP	GA	SA	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Connor Hellebuyck	Hurricanes	19	11	7	0.914	2.55	1108	47	549	1	0.800	5	18	2	1	1	1
2	Devon Levi	Hurricanes	2	0	2	0.809	5.81	93	9	47	0	0.000	0	2	18	0	0	0
Moyenne d'équipe			21	11	9	0.906	2.80	1201	56	596	1	0.800	5	20	20	1	1	1

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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 Équipe	GP	W	L	OTW	SOW	GF	GA	Diff	P	PCT	G	A	TP	SO	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	Bruins	1	1	0	0	0	3	2	1	2	1.000	3	6	9	0	1	2	0	0	27	7	11	9	0	29	4	2	20	2	1	50.00%	1	0	100.00%	371	701	52.92%	367	735	49.93%	164	310	52.90%	27	20	22	6	10	5	50.0%	11.1%	93.1%	104.2	LUCKY
2	Rangers	2	2	0	0	0	8	5	3	4	1.000	8	13	21	0	5	0	3	0	58	24	19	15	0	59	17	10	33	6	1	16.67%	5	1	80.00%	371	701	52.92%	367	735	49.93%	164	310	52.90%	47	34	47	14	24	12	63.6%	13.8%	91.5%	105.3	LUCKY
3	Capitals	2	2	0	0	0	9	4	5	4	1.000	9	15	24	0	4	2	3	0	82	30	25	27	0	54	17	14	28	12	1	8.33%	7	1	85.71%	371	701	52.92%	367	735	49.93%	164	310	52.90%	56	41	38	13	24	12	72.7%	11.0%	92.6%	103.6	LUCKY
4	Canadiens	1	1	0	0	0	7	1	6	2	1.000	7	13	20	0	3	1	3	0	40	16	13	11	0	24	11	6	26	4	1	25.00%	3	0	100.00%	371	701	52.92%	367	735	49.93%	164	310	52.90%	26	18	20	6	12	7	85.7%	17.5%	95.8%	113.3	LUCKY
5	Lightning	1	1	0	0	0	4	1	3	2	1.000	4	7	11	0	1	1	2	0	30	10	12	8	0	37	9	10	18	4	1	25.00%	5	0	100.00%	371	701	52.92%	367	735	49.93%	164	310	52.90%	22	15	26	7	11	6	75.0%	13.3%	97.3%	110.6	LUCKY
6	Flyers	3	0	3	0	0	6	13	-7	0	0.000	6	9	15	1	4	1	1	0	91	31	27	33	0	102	14	37	62	6	0	0.00%	10	5	50.00%	371	701	52.92%	367	735	49.93%	164	310	52.90%	73	51	69	22	37	17	42.9%	6.6%	87.3%	93.8	Unlucky
7	Maple Leafs	3	0	3	0	0	3	11	-8	0	0.000	3	6	9	0	2	0	1	0	75	21	31	23	0	82	25	22	49	12	0	0.00%	11	2	81.82%	371	701	52.92%	367	735	49.93%	164	310	52.90%	73	51	71	22	35	16	25.0%	4.0%	86.6%	90.6	Unlucky
8	Flames	1	1	0	0	0	4	2	2	2	1.000	4	6	10	0	2	1	1	0	37	11	17	9	0	23	8	8	17	2	0	0.00%	4	2	50.00%	371	701	52.92%	367	735	49.93%	164	310	52.90%	23	17	24	7	12	5	100.0%	10.8%	91.3%	102.1	LUCKY
9	Devils	1	0	1	0	0	2	4	-2	0	0.000	2	4	6	0	0	1	1	0	48	19	14	15	0	25	6	6	16	5	1	20.00%	3	1	66.67%	371	701	52.92%	367	735	49.93%	164	310	52.90%	27	19	19	7	12	7	25.0%	4.2%	84.0%	88.2	Unlucky
10	Panthers	1	1	0	0	0	3	2	1	2	1.000	3	6	9	0	2	1	0	0	38	16	13	9	0	28	10	8	29	5	2	40.00%	4	1	75.00%	371	701	52.92%	367	735	49.93%	164	310	52.90%	23	16	23	7	12	6	50.0%	7.9%	92.9%	100.8	DULL
11	Islanders	1	0	0	0	1	3	2	1	2	1.000	3	4	7	0	1	1	0	2	30	14	7	7	7	34	11	10	23	3	1	33.33%	5	1	80.00%	371	701	52.92%	367	735	49.93%	164	310	52.90%	25	17	26	8	12	6	66.7%	10.0%	94.1%	104.1	LUCKY
12	Penguins	3	0	2	1	0	7	10	-3	2	0.333	7	12	19	0	2	1	3	1	84	32	21	30	1	100	32	39	58	15	2	13.33%	17	3	82.35%	371	701	52.92%	367	735	49.93%	164	310	52.90%	67	44	76	23	36	18	41.7%	8.3%	90.0%	98.3	Unlucky
	_Vs Division	12	4	6	1	1	35	38	-3	12	0.500	35	57	92	1	16	6	11	3	393	150	113	127	8	374	97	116	220	47	6	12.77%	47	12	74.47%	371	701	52.92%	367	735	49.93%	164	310	52.90%	298	207	277	89	149	75	52.7%	8.9%	89.8%	98.7	Unlucky
	_Vs Conference	19	8	9	1	1	55	55	0	20	0.526	55	95	150	1	25	11	17	3	603	220	193	187	8	574	156	164	362	74	11	14.86%	71	15	78.87%	371	701	52.92%	367	735	49.93%	164	310	52.90%	470	330	441	139	233	117	52.4%	9.1%	90.4%	99.5	FUN
	_Since Last GM Reset	20	9	9	1	1	59	57	2	22	0.550	59	101	160	1	27	12	18	3	640	231	210	196	8	597	164	172	379	76	11	14.47%	75	17	77.33%	371	701	52.92%	367	735	49.93%	164	310	52.90%	494	347	465	146	245	122	54.5%	9.2%	90.5%	99.7	FUN
	Total	20	9	9	1	1	59	57	2	22	0.550	59	101	160	1	27	12	18	3	640	231	210	196	8	597	164	172	379	76	11	14.47%	75	17	77.33%	371	701	52.92%	367	735	49.93%	164	310	52.90%	494	347	465	146	245	122	54.5%	9.2%	90.5%	99.7	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	12
Defensive Zone	23

	Puck Time
Offensive Zone Start	701
Neutral Zone Start	310
Defensive Zone Start	735

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	902
Faceoffs Lost	844

	Team Average Shots after	League Average Shots after
1st Period	11.6	9.57
2nd Period	22.1	20.31
3rd Period	31.9	30.68
Overtime	32.3	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.4	0.64
2nd Period	2.0	1.65
3rd Period	2.9	2.67
Overtime	3.0	2.83


Even Strenght Goal	47
PP Goal	11
PK Goal	0
Empty Net Goal	1

	Home	Away
Win	7	4
Lost	5	4
Overtime Lost	0	0


PP Attempt	76
PP Goal	11
PK Attempt	75
PK Goal Against	17

	Home
Shots For	32.0
Shots Against	29.9
Goals For	3.0
Goals Against	2.9
Hits	19.0
Shots Blocked	8.2
Pim	8.6