Puckéligue - Calendrier Pro Golden Knights

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	PPM	PKG	PKA	PKP	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG
1	Adam Fox	Golden Knights	D	76	14	33	47	-18	42	0	81	153	39	72	9.15%	120	23.47	8	8	16	212	0	0	0	215	2	0	0.00%	0	0	0	0	1	0.53	2	5
2	John-Jason Peterka	Golden Knights	C/LW/RW	77	23	20	43	-4	0	0	0	176	72	123	13.07%	4	18.05	5	8	13	194	0	0	0	22	5	4	28.32%	978	0	0	0	0	0.62	1	3
3	Mathieu Joseph	Golden Knights	LW/RW	76	20	20	40	-19	22	0	97	222	65	171	9.01%	19	18.50	4	7	11	186	0	1	1	145	0	0	35.34%	116	0	0	0	0	0.57	0	0
4	Morgan Rielly	Golden Knights	D	72	4	32	36	-26	59	5	143	76	40	51	5.26%	86	21.10	1	12	13	201	0	1	1	59	0	1	0.00%	0	0	0	0	0	0.47	0	0
5	Nick Paul	Golden Knights	C/LW	71	10	23	33	-6	26	0	74	166	47	128	6.02%	19	16.83	1	4	5	90	0	1	1	189	2	0	52.94%	1566	0	0	0	0	0.55	0	0
6	Ivan Barbashev	Golden Knights	C/LW	77	11	20	31	-34	66	20	197	172	35	126	6.40%	10	17.76	4	3	7	184	0	0	0	1	1	0	35.79%	1288	0	0	0	0	0.45	1	1
7	Colton Parayko	Golden Knights	D	77	9	17	26	-13	78	10	146	67	23	55	13.43%	138	19.83	0	0	0	18	0	0	0	201	0	1	0.00%	0	0	0	1	0	0.34	0	0
8	Oliver Ekman-Larsson	Golden Knights	D	76	6	20	26	-21	58	0	152	106	31	61	5.66%	85	19.72	3	5	8	164	1	0	1	177	1	0	0.00%	0	0	0	0	0	0.35	0	0
9	Tyler Motte	Golden Knights	LW/RW	73	12	13	25	-4	39	5	71	123	22	80	9.76%	17	13.44	0	0	0	7	1	0	1	183	2	0	38.60%	215	0	0	0	0	0.51	0	0
10	Drew O'Connor	Golden Knights	LW	77	14	11	25	-10	10	0	24	106	34	82	13.21%	21	13.35	0	0	0	6	0	0	0	133	2	0	37.23%	94	0	0	0	0	0.49	0	0
11	Pavel Dorofeyev	Golden Knights	LW/RW	75	13	11	24	-25	2	0	12	144	27	90	9.03%	8	14.26	2	5	7	147	0	0	0	0	3	2	33.64%	107	0	0	0	1	0.45	1	3
12	Erik Brannstrom	Golden Knights	D	77	3	17	20	-13	22	0	60	59	26	40	5.08%	103	19.48	1	2	3	65	0	0	0	199	1	0	0.00%	0	0	0	0	0	0.27	0	0
13	Denis Gurianov	Golden Knights	LW/RW	76	10	8	18	-28	6	0	33	96	25	60	10.42%	7	15.34	3	2	5	138	0	0	0	15	1	0	25.97%	77	0	0	0	0	0.31	0	0
14	Erik Gustafsson	Golden Knights	D	77	0	17	17	-18	35	5	85	57	20	37	0.00%	68	17.31	0	4	4	126	0	0	0	46	0	0	0.00%	0	0	0	0	0	0.26	0	0
15	Kevin Labanc	Golden Knights	LW/RW	77	2	9	11	-18	14	0	20	76	21	51	2.63%	3	8.77	0	1	1	14	0	0	0	2	0	1	21.82%	55	0	0	0	0	0.33	0	0
16	Mathieu Olivier	Golden Knights	RW	77	4	7	11	-3	114	20	247	66	19	53	6.06%	9	16.52	1	1	2	100	0	0	0	41	1	0	30.68%	88	0	0	0	0	0.17	0	0
17	Chris Wagner	Wolves (VGK)	C/LW/RW	36	1	2	3	-8	13	5	50	24	9	12	4.17%	3	10.92	0	0	0	11	0	0	0	21	1	0	52.74%	419	0	0	0	0	0.15	0	0
18	Carl Berglund	Golden Knights	C	45	0	1	1	-11	6	0	10	6	6	7	0.00%	0	7.95	0	0	0	0	0	0	0	6	0	0	42.65%	415	0	0	0	0	0.06	0	0
19	Ross Johnston	Golden Knights	LW	45	0	0	0	-10	19	5	57	22	6	14	0.00%	4	8.46	0	0	0	0	0	0	0	21	0	0	51.35%	37	0	0	0	0	0.00	0	0
20	Joel Hanley	Wolves (VGK)	D	12	0	0	0	-4	4	0	20	4	1	4	0.00%	5	9.35	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
21	Robert Hagg	Wolves (VGK)	D	1	0	0	0	0	0	0	0	0	0	0	0.00%	0	0.00	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
Moyenne d'équipe		1350	156	281	437	-293	635	75	1579	1921	568	1317	8.12%	729	16.26	33	62	95	1871	2	3	5	1687	22	9	41.03%	5455	0	0	1	2	0.40	5	12

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	OTL	PCT	GAA	MP	PIM	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ukko-Pekka Luukkonen	Golden Knights	53	20	30	3	0.911	2.92	3169	0	154	1726	1	2	1.000	10	51	26	4	6	4
2	Casey DeSmith	Golden Knights	26	9	15	0	0.904	3.42	1474	4	84	873	0	0	1.000	6	26	48	4	0	0
Moyenne d'équipe			79	29	45	3	0.908	3.08	4644	4	238	2599	1	2	1.000	16	77	74	8	6	4

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	OTL	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%	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	Bruins	1	1	0	0	0	0	3	1	2	2	1.000	3	5	8	0	0	1	2	0	26	9	5	12	0	29	4	10	20	0	0	0.00%	5	1	80.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	26	18	21	6	12	6	100.0%	11.5%	96.6%	108.1	LUCKY
2	Rangers	1	0	1	0	0	0	0	3	-3	0	0.000	0	0	0	0	0	0	0	0	35	2	16	17	0	33	10	2	17	3	0	0.00%	1	1	0.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	23	15	24	7	12	6	0.0%	0.0%	90.9%	90.9	Unlucky
3	Predators	4	1	3	0	0	0	8	16	-8	2	0.250	8	15	23	0	5	0	3	0	94	33	30	31	0	136	43	31	90	9	3	33.33%	11	3	72.73%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	98	68	90	27	51	25	27.8%	8.5%	88.2%	96.7	Unlucky
4	Red Wings	1	0	0	0	0	1	5	4	1	2	1.000	5	8	13	0	1	2	1	1	35	5	12	16	4	30	10	8	16	3	1	33.33%	4	0	100.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	25	18	24	8	14	7	50.0%	14.3%	86.7%	101.0	FUN
5	Jets	3	2	1	0	0	0	6	6	0	4	0.667	6	9	15	0	4	0	2	0	65	27	12	26	0	100	18	30	57	5	1	20.00%	14	3	78.57%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	63	40	76	24	40	18	62.5%	9.2%	94.0%	103.2	LUCKY
6	Hurricanes	1	0	1	0	0	0	1	5	-4	0	0.000	1	2	3	0	0	0	1	0	27	11	7	9	0	38	13	12	27	5	0	0.00%	6	1	83.33%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	22	14	24	8	12	6	20.0%	3.7%	86.8%	90.5	Unlucky
7	Capitals	2	0	2	0	0	0	3	7	-4	0	0.000	3	5	8	0	2	1	0	0	47	19	17	11	0	69	21	16	49	4	1	25.00%	8	1	87.50%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	42	28	52	15	25	12	25.0%	6.4%	89.9%	96.2	Unlucky
8	Canadiens	1	0	1	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	2	0	0	23	9	10	4	0	26	11	4	21	4	0	0.00%	2	0	100.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	22	14	24	7	13	7	33.3%	8.7%	84.6%	93.3	Unlucky
9	Lightning	2	0	2	0	0	0	5	10	-5	0	0.000	5	8	13	0	2	1	2	0	61	20	21	20	0	64	20	12	45	5	0	0.00%	6	2	66.67%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	40	25	51	16	28	12	38.5%	8.2%	84.4%	92.6	Unlucky
10	Flyers	2	1	1	0	0	0	6	7	-1	2	0.500	6	11	17	0	2	3	1	0	47	11	22	14	0	83	29	32	37	6	0	0.00%	10	3	70.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	42	26	53	15	23	11	60.0%	12.8%	91.6%	104.3	LUCKY
11	Sharks	5	2	1	0	1	1	15	13	2	7	0.700	15	26	41	0	6	5	3	1	145	54	47	42	4	156	45	23	122	16	1	6.25%	8	2	75.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	133	94	111	34	64	33	56.0%	10.3%	91.7%	102.0	LUCKY
12	Black Hawks	3	1	2	0	0	0	6	8	-2	2	0.333	6	11	17	0	1	2	3	0	87	22	38	27	0	98	30	24	69	13	2	15.38%	11	2	81.82%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	77	53	63	21	38	19	40.0%	6.9%	91.8%	98.7	DULL
13	Avalanche	3	1	1	0	0	1	9	8	1	4	0.667	9	14	23	0	2	5	1	1	86	22	35	28	4	97	34	24	64	8	3	37.50%	12	1	91.67%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	71	48	73	22	39	19	46.2%	10.5%	91.8%	102.2	LUCKY
14	Ducks	5	3	1	0	0	1	13	10	3	8	0.800	13	23	36	0	4	5	3	1	117	39	40	36	6	176	58	36	102	20	5	25.00%	17	0	100.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	112	74	127	38	64	32	44.4%	11.1%	94.3%	105.4	LUCKY
15	Oilers	5	3	2	0	0	0	16	13	3	6	0.600	16	29	45	0	7	7	2	0	125	44	47	34	0	151	47	25	97	16	5	31.25%	10	1	90.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	114	79	120	36	65	32	47.8%	12.8%	91.4%	104.2	LUCKY
16	Senateurs	1	1	0	0	0	0	4	3	1	2	1.000	4	8	12	0	0	3	1	0	29	8	12	9	0	31	13	4	14	3	1	33.33%	2	1	50.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	24	16	22	7	13	6	60.0%	13.8%	90.3%	104.1	FUN
17	Maple Leafs	1	0	1	0	0	0	2	5	-3	0	0.000	2	4	6	0	0	2	0	0	28	12	9	7	0	45	10	2	18	3	0	0.00%	1	0	100.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	21	14	27	6	11	5	28.6%	7.1%	88.9%	96.0	Unlucky
18	Canucks	5	1	4	0	0	0	9	16	-7	2	0.200	9	16	25	0	1	2	6	0	135	35	49	51	0	190	51	47	105	15	2	13.33%	20	3	85.00%	1	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	112	76	125	37	62	30	35.0%	6.7%	91.6%	98.2	DULL
19	Wild	4	0	3	1	0	0	8	13	-5	2	0.250	8	14	22	0	3	2	2	1	100	36	29	33	2	115	25	36	92	15	1	6.67%	17	3	82.35%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	98	67	91	28	51	26	41.2%	8.0%	88.7%	96.7	Unlucky
20	Blues	5	1	2	1	0	1	11	12	-1	6	0.600	11	17	28	0	1	5	3	2	154	49	48	51	9	158	45	38	100	14	2	14.29%	19	5	73.68%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	118	82	125	37	63	30	56.3%	7.1%	92.4%	99.5	DULL
21	Kings	5	1	4	0	0	0	9	18	-9	2	0.200	9	15	24	0	5	2	2	0	122	36	50	36	0	166	54	45	73	8	2	25.00%	21	5	76.19%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	112	74	124	36	63	31	35.0%	7.4%	89.2%	96.5	Unlucky
22	Stars	3	0	2	0	1	0	5	10	-5	1	0.167	5	10	15	1	2	2	1	0	71	23	23	23	2	102	18	26	71	5	0	0.00%	7	1	85.71%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	66	44	75	23	39	19	35.7%	7.0%	90.2%	97.2	Unlucky
23	Flames	5	1	3	0	1	0	10	15	-5	3	0.300	10	17	27	1	3	5	2	0	131	41	40	50	0	176	48	33	117	14	4	28.57%	13	5	61.54%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	114	78	123	36	63	30	37.5%	7.6%	91.5%	99.1	DULL
24	Devils	1	0	1	0	0	0	1	5	-4	0	0.000	1	1	2	0	0	0	1	0	25	6	4	15	0	41	8	8	26	1	1	100.00%	3	1	66.67%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	24	16	22	6	12	6	0.0%	4.0%	87.8%	91.8	Unlucky
25	Panthers	1	0	1	0	0	0	1	2	-1	0	0.000	1	1	2	0	1	0	0	0	22	12	4	6	0	30	9	33	19	2	0	0.00%	2	0	100.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	21	14	24	7	13	6	33.3%	4.5%	93.3%	97.9	DULL
26	Islanders	1	1	0	0	0	0	4	3	1	2	1.000	4	8	12	0	3	0	1	0	38	14	14	10	0	35	8	13	12	5	1	20.00%	4	1	75.00%	1	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	22	15	23	8	13	6	60.0%	10.5%	91.4%	102.0	LUCKY
27	Penguins	1	0	1	0	0	0	2	3	-1	0	0.000	2	4	6	0	1	0	1	0	33	12	11	10	0	40	9	6	23	8	1	12.50%	3	0	100.00%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	27	19	20	6	11	6	25.0%	6.1%	92.5%	98.6	DULL
28	Kraken	5	1	4	0	0	0	10	20	-10	2	0.200	10	17	27	0	4	3	3	0	161	52	52	57	0	186	52	63	96	21	2	9.52%	27	7	74.07%	0	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	113	74	121	38	65	32	38.1%	6.2%	89.2%	95.5	Unlucky
	_Vs Division	35	12	19	0	2	2	82	105	-23	30	0.429	82	143	225	1	30	29	21	2	936	301	325	306	10	1201	355	272	712	110	21	19.09%	116	23	80.17%	1	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	813	550	853	258	449	223	42.7%	8.8%	91.3%	100.0	DULL
	_Vs Conference	60	18	33	2	3	4	135	178	-43	51	0.425	135	233	368	2	48	45	36	6	1593	513	540	525	27	2007	568	481	1255	179	33	18.44%	207	41	80.19%	1	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	1407	955	1449	443	774	384	42.7%	8.5%	91.1%	99.6	Unlucky
	_Since Last GM Reset	77	22	45	2	3	5	174	240	-66	61	0.396	174	302	476	2	60	60	47	7	2069	663	704	685	31	2601	743	643	1599	231	39	16.88%	264	53	79.92%	2	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	1795	1215	1867	570	994	493	41.9%	8.4%	90.8%	99.2	Unlucky
	Total	77	22	45	2	3	5	174	240	-66	61	0.396	174	302	476	2	60	60	47	7	2069	663	704	685	31	2601	743	643	1599	231	39	16.88%	264	53	79.92%	2	1040	2380	43.70%	1247	2802	44.50%	489	1158	42.23%	1795	1215	1867	570	994	493	41.9%	8.4%	90.8%	99.2	Unlucky

	Puck Time
Offensive Zone	23
Neutral Zone	12
Defensive Zone	24

	Puck Time
Offensive Zone Start	2380
Neutral Zone Start	1158
Defensive Zone Start	2802

	Puck Time
With Puck	29
Without Puck	30

	Faceoffs
Faceoffs Won	2776
Faceoffs Lost	3564

	Team Average Shots after	League Average Shots after
1st Period	8.6	9.57
2nd Period	17.8	20.31
3rd Period	26.6	30.68
Overtime	27.1	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	0.8	0.64
2nd Period	1.6	1.65
3rd Period	2.2	2.67
Overtime	2.3	2.83


Even Strenght Goal	131
PP Goal	39
PK Goal	2
Empty Net Goal	2

	Home	Away
Win	14	15
Lost	23	22
Overtime Lost	2	1


PP Attempt	231
PP Goal	39
PK Attempt	264
PK Goal Against	53

	Home
Shots For	26.9
Shots Against	33.8
Goals For	2.3
Goals Against	3.1
Hits	20.8
Shots Blocked	9.6
Pim	8.4