Puckéligue - Calendrier Pro Avalanche

STATISTIQUE

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 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	Auston Matthews	Avalanche	C	84	39	50	89	33	18	0	59	461	125	343	8.46%	9	19.55	7	10	17	247	0	2	2	35	8	2	59.74%	1719	0	0	0	2	1.08	5	7
2	Sean Monahan	Avalanche	C	84	38	51	89	36	12	0	40	317	86	260	11.99%	18	19.00	5	8	13	235	0	0	0	0	6	1	59.62%	2152	0	0	1	1	1.12	1	2
3	Matthew Boldy	Avalanche	LW/RW	84	41	39	80	26	36	0	91	340	85	243	12.06%	14	19.16	11	6	17	241	0	0	0	1	3	3	43.93%	107	0	0	0	0	0.99	3	7
4	Jesper Bratt	Avalanche	LW/RW	84	24	49	73	20	18	0	104	309	87	220	7.77%	9	18.64	6	17	23	245	0	0	0	1	9	2	38.32%	107	0	0	0	0	0.93	0	0
5	Cam Fowler	Avalanche	D	84	12	57	69	38	26	0	99	115	46	73	10.43%	130	21.86	4	11	15	255	0	1	1	140	1	0	0.00%	0	0	0	0	0	0.75	0	0
6	Andrei Svechnikov	Avalanche	LW/RW	84	28	31	59	25	44	0	231	264	80	194	10.61%	9	18.42	4	9	13	245	1	0	1	20	7	2	36.17%	94	0	0	0	0	0.76	1	2
7	Shea Theodore	Avalanche	D	84	7	39	46	2	6	0	37	74	27	55	9.46%	90	20.08	3	13	16	250	0	0	0	113	3	0	0.00%	0	0	0	0	0	0.55	2	7
8	Scott Mayfield	Avalanche	D	84	8	27	35	31	50	0	103	86	38	67	9.30%	117	19.27	4	5	9	152	0	1	1	206	0	1	0.00%	0	0	0	0	0	0.43	0	0
9	Anthony Duclair	Avalanche	LW/RW	57	13	19	32	18	14	0	28	125	33	77	10.40%	5	14.75	0	0	0	0	0	0	0	0	1	0	40.00%	100	0	0	0	0	0.76	0	0
10	Noel Acciari	Avalanche	C/RW	80	13	16	29	4	20	0	103	111	21	79	11.71%	26	13.66	2	6	8	145	0	0	0	190	2	0	56.31%	1513	0	0	1	0	0.53	0	0
11	Damon Severson	Avalanche	D	83	7	19	26	-6	81	5	181	88	23	56	7.95%	124	18.87	2	5	7	84	0	0	0	84	1	1	0.00%	0	0	0	0	0	0.33	0	0
12	William Borgen	Avalanche	D	84	3	23	26	27	94	20	178	80	30	64	3.75%	97	20.09	1	5	6	229	0	0	0	175	0	0	0.00%	0	0	0	0	0	0.31	0	0
13	Valtteri Puustinen (R)	Avalanche	LW/RW	83	8	8	16	4	2	0	18	69	34	54	11.59%	7	9.26	0	0	0	7	0	0	0	0	3	1	14.00%	50	0	0	0	0	0.42	0	0
14	Alexander Wennberg	Monsters (COL)	C/LW/RW	31	6	9	15	-11	2	0	15	85	19	56	7.06%	15	18.67	1	3	4	92	0	0	0	73	1	0	50.39%	258	0	0	0	0	0.52	0	0
15	Nico Sturm	Avalanche	C	84	5	10	15	-2	18	0	45	67	22	61	7.46%	15	10.56	0	1	1	12	0	0	0	212	1	0	58.69%	1070	0	0	0	0	0.34	0	0
16	Marco Scandella	Avalanche	D	79	6	9	15	29	82	10	133	47	18	34	12.77%	95	20.35	0	0	0	2	0	0	0	143	1	1	0.00%	0	0	0	0	0	0.19	0	0
17	Nino Niederreiter	Avalanche	LW/RW	84	9	6	15	2	23	5	71	138	27	98	6.52%	6	10.45	0	0	0	0	1	0	1	202	0	1	40.85%	71	0	0	0	0	0.34	0	0
18	Connor Dewar	Avalanche	C/LW	53	4	10	14	8	19	5	39	47	12	51	8.51%	8	11.80	0	0	0	0	0	0	0	130	2	0	30.00%	40	0	0	0	0	0.45	0	0
19	Jayson Megna	Avalanche	C/RW	84	3	5	8	0	20	10	37	71	19	51	4.23%	4	7.50	0	0	0	0	0	0	0	1	0	0	67.65%	34	0	0	0	0	0.25	0	0
20	Dmitry Orlov	Monsters (COL)	D	5	1	1	2	4	0	0	10	4	2	1	25.00%	3	22.30	0	0	0	1	0	0	0	11	0	0	0.00%	0	0	0	0	0	0.36	0	0
21	Cole Smith	Monsters (COL)	LW	6	1	0	1	-1	19	5	6	7	1	2	14.29%	0	6.36	0	0	0	0	0	0	0	0	0	0	66.67%	3	0	0	0	0	0.52	0	0
22	Hudson Fasching	Monsters (COL)	RW	1	0	0	0	1	0	0	0	0	0	0	0.00%	0	7.07	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0
23	Xavier Parent (R)	Avalanche	C/LW	26	0	0	0	11	0	0	7	9	4	3	0.00%	2	15.19	0	0	0	0	0	0	0	0	0	0	57.14%	28	0	0	0	0	0.00	0	0
Moyenne d'équipe		1512	276	478	754	299	604	60	1635	2914	839	2142	9.47%	803	16.41	50	99	149	2451	2	4	6	1746	49	15	56.78%	7346	0	0	2	3	0.61	12	25

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	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Sergei Bobrovsky	Avalanche	84	57	21	5	0.926	2.24	4910	6	7	183	2486	6	2	0.632	19	84	0	15	7	5
2	Karel Vejmelka	Avalanche	21	7	7	1	0.907	3.00	941	6	1	47	507	1	1	0.500	6	11	73	1	1	0
Moyenne d'équipe			105	64	28	6	0.923	2.36	5852	12	8	230	2993	7	3	0.600	25	95	73	16	8	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

#	VS Équipe	GP	W	L	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	1	0	0	0	0	1	0	2	1	1	2	1.000	2	2	4	0	0	0	1	0	3	34	14	14	4	7	32	10	12	25	0	0	0.00%	6	1	83.33%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	25	17	26	7	12	6	100.0%	5.9%	96.9%	102.8	DULL
2	Bruins	2	1	1	0	0	0	0	3	3	0	2	0.500	3	6	9	0	1	3	0	0	0	54	19	14	21	0	47	15	12	33	6	0	0.00%	6	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	51	36	43	14	25	12	50.0%	5.6%	93.6%	99.2	DULL
3	Rangers	2	1	1	0	0	0	0	10	5	5	2	0.500	10	17	27	0	0	4	4	2	0	72	21	30	21	0	52	16	14	38	4	0	0.00%	7	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	50	36	43	14	25	12	66.7%	13.9%	90.4%	104.3	FUN
4	Predators	7	4	2	0	0	0	1	32	27	5	9	0.643	32	60	92	1	0	17	7	8	1	245	103	71	70	4	266	100	57	137	27	6	22.22%	23	3	86.96%	1	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	165	115	169	52	89	45	52.0%	13.1%	89.8%	102.9	FUN
5	Red Wings	1	1	0	0	0	0	0	3	0	3	2	1.000	3	5	8	0	1	2	0	1	0	28	12	8	8	0	21	12	14	16	1	0	0.00%	7	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	22	14	23	7	13	6	100.0%	10.7%	100.0%	110.7	LUCKY
6	Jets	5	2	1	0	2	0	0	13	11	2	6	0.600	13	22	35	0	1	3	6	4	0	172	49	58	64	1	145	42	28	85	21	3	14.29%	11	0	100.00%	1	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	124	87	114	37	67	34	47.6%	7.6%	92.4%	100.0	DULL
7	Hurricanes	1	0	0	0	0	1	0	2	1	1	2	1.000	2	2	4	0	0	0	0	1	2	29	8	7	10	7	25	5	8	24	2	0	0.00%	4	1	75.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	24	16	25	8	14	7	100.0%	6.9%	96.0%	102.9	DULL
8	Capitals	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	3	5	0	0	1	1	0	0	23	8	12	3	0	22	8	6	12	4	1	25.00%	3	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	22	15	23	7	13	6	20.0%	8.7%	81.8%	90.5	Unlucky
9	Canadiens	1	1	0	0	0	0	0	3	0	3	2	1.000	3	6	9	0	1	1	2	0	0	31	15	9	7	0	21	6	10	15	2	0	0.00%	5	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	28	19	18	7	13	7	100.0%	9.7%	100.0%	109.7	LUCKY
10	Lightning	1	0	0	0	0	1	0	2	1	1	2	1.000	2	2	4	0	0	0	0	1	2	41	12	8	18	6	33	10	6	13	4	1	25.00%	2	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	30	21	21	7	13	7	50.0%	4.9%	97.0%	101.8	DULL
11	Flyers	1	1	0	0	0	0	0	4	2	2	2	1.000	4	7	11	0	0	2	2	0	0	28	6	11	11	0	38	10	6	20	3	0	0.00%	3	1	66.67%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	22	16	24	7	13	6	80.0%	14.3%	94.7%	109.0	LUCKY
12	Sharks	4	3	0	1	0	0	0	15	7	8	8	1.000	15	26	41	0	0	6	3	5	1	145	57	41	46	1	113	34	22	80	15	1	6.67%	11	1	90.91%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	101	70	89	28	50	26	70.0%	10.3%	93.8%	104.2	LUCKY
13	Black Hawks	5	4	0	0	1	0	0	23	15	8	9	0.900	23	39	62	0	0	5	7	11	0	181	59	56	65	1	179	62	34	115	23	9	39.13%	16	3	81.25%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	121	83	113	36	66	34	53.8%	12.7%	91.6%	104.3	LUCKY
14	Ducks	5	1	3	0	0	0	1	12	19	-7	3	0.300	12	20	32	1	0	4	1	7	1	167	49	50	67	6	173	51	62	101	22	2	9.09%	14	4	71.43%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	122	83	118	36	64	33	40.0%	7.2%	89.0%	96.2	Unlucky
15	Oilers	4	3	0	0	0	1	0	20	12	8	8	1.000	20	30	50	0	0	11	3	5	3	155	51	57	46	4	140	37	27	65	19	2	10.53%	11	2	81.82%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	103	72	90	28	51	26	64.3%	12.9%	91.4%	104.3	LUCKY
16	Senateurs	1	1	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	1	2	0	0	40	11	16	13	0	15	9	2	20	3	0	0.00%	1	1	0.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	25	17	21	7	13	7	75.0%	7.5%	86.7%	94.2	Unlucky
17	Maple Leafs	1	1	0	0	0	0	0	4	0	4	2	1.000	4	7	11	0	1	1	0	3	0	47	19	9	19	0	13	6	8	17	2	1	50.00%	4	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	26	18	21	6	11	6	100.0%	8.5%	100.0%	108.5	DULL
18	Canucks	4	2	2	0	0	0	0	10	7	3	4	0.500	10	18	28	0	1	3	4	3	0	132	49	33	50	0	113	38	31	80	10	1	10.00%	13	4	69.23%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	99	71	90	27	49	24	75.0%	7.6%	93.8%	101.4	DULL
19	Wild	5	4	0	1	0	0	0	17	6	11	10	1.000	17	26	43	0	2	8	4	4	1	180	58	61	56	5	95	23	27	102	17	3	17.65%	11	2	81.82%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	128	93	111	36	63	31	77.8%	9.4%	93.7%	103.1	LUCKY
20	Blues	5	2	3	0	0	0	0	13	17	-4	4	0.400	13	22	35	0	0	5	5	3	0	159	44	64	51	0	171	37	32	96	14	4	28.57%	15	1	93.33%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	118	83	121	35	59	29	36.0%	8.2%	90.1%	98.2	Unlucky
21	Kings	4	1	2	0	1	0	0	10	14	-4	3	0.375	10	17	27	1	0	3	2	5	0	137	53	51	33	0	141	44	41	79	13	0	0.00%	16	4	75.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	95	64	92	29	52	26	50.0%	7.3%	90.1%	97.4	Unlucky
22	Golden Knights	4	2	1	0	0	0	1	11	9	2	5	0.625	11	17	28	0	1	5	4	2	0	140	40	57	41	5	112	25	25	96	17	1	5.88%	10	3	70.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	99	69	94	30	51	26	62.5%	7.9%	92.0%	99.8	DULL
23	Stars	5	4	1	0	0	0	0	21	9	12	8	0.800	21	36	57	0	0	9	3	9	0	173	59	45	69	0	134	42	31	109	15	5	33.33%	13	2	84.62%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	126	88	110	35	63	32	69.6%	12.1%	93.3%	105.4	LUCKY
24	Flames	5	3	2	0	0	0	0	15	10	5	6	0.600	15	24	39	0	0	6	7	2	0	168	56	63	49	0	160	59	28	92	9	2	22.22%	13	1	92.31%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	119	84	117	34	62	32	59.1%	8.9%	93.8%	102.7	Unlucky
25	Devils	1	1	0	0	0	0	0	2	0	2	2	1.000	2	4	6	0	1	1	1	0	0	42	11	15	16	0	23	6	8	20	2	0	0.00%	4	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	25	16	20	6	13	6	100.0%	4.8%	100.0%	104.8	DULL
26	Panthers	2	2	0	0	0	0	0	9	7	2	4	1.000	9	17	26	0	0	1	4	4	0	53	13	14	26	0	74	21	8	44	6	2	33.33%	4	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	45	31	49	14	25	12	50.0%	17.0%	90.5%	107.5	FUN
27	Islanders	1	1	0	0	0	0	0	3	2	1	2	1.000	3	5	8	0	0	2	1	0	0	27	18	3	6	0	32	18	8	20	3	2	66.67%	4	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	21	14	24	7	13	5	33.3%	11.1%	93.8%	104.9	LUCKY
28	Penguins	1	1	0	0	0	0	0	3	1	2	2	1.000	3	6	9	0	0	0	1	2	0	29	10	9	10	0	32	13	10	11	3	1	33.33%	4	0	100.00%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	22	15	24	6	12	6	66.7%	10.3%	96.9%	107.2	LUCKY
29	Kraken	4	1	3	0	0	0	0	12	14	-2	2	0.250	12	21	33	0	0	5	3	4	0	127	43	36	48	0	148	43	35	81	12	2	16.67%	14	5	64.29%	0	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	92	62	96	27	51	25	52.6%	9.4%	90.5%	100.0	FUN
	_Vs Division	32	20	7	1	3	0	1	119	85	34	46	0.719	119	205	324	1	3	47	32	39	2	1110	372	355	375	11	990	306	209	644	117	30	25.64%	89	11	87.64%	2	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	785	551	740	233	410	208	54.6%	10.7%	91.4%	102.1	LUCKY
	_Vs Conference	66	36	20	2	4	1	3	224	177	47	85	0.644	224	378	602	3	5	90	59	72	7	2281	770	743	755	27	2090	637	480	1318	234	41	17.52%	191	35	81.68%	2	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	1619	1131	1529	476	844	431	56.3%	9.8%	91.5%	101.4	LUCKY
	_Since Last GM Reset	84	48	23	2	4	4	3	279	206	73	115	0.685	279	472	751	3	10	109	78	86	14	2859	967	922	948	47	2570	802	612	1646	279	49	17.56%	255	39	84.71%	2	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	2066	1439	1942	608	1079	549	57.9%	9.8%	92.0%	101.7	LUCKY
	Total	84	48	23	2	4	4	3	279	206	73	115	0.685	279	472	751	3	10	109	78	86	14	2859	967	922	948	47	2570	802	612	1646	279	49	17.56%	255	39	84.71%	2	1733	3070	56.45%	1677	2882	58.19%	769	1335	57.60%	2066	1439	1942	608	1079	549	57.9%	9.8%	92.0%	101.7	LUCKY

	Puck Time
Offensive Zone	24
Neutral Zone	12
Defensive Zone	23

	Puck Time
Offensive Zone Start	3070
Neutral Zone Start	1335
Defensive Zone Start	2882

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	4179
Faceoffs Lost	3108

	Team Average Shots after	League Average Shots after
1st Period	11.5	9.57
2nd Period	22.5	20.31
3rd Period	33.8	30.68
Overtime	34.3	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.3	0.64
2nd Period	2.2	1.65
3rd Period	3.3	2.67
Overtime	3.4	2.83


Even Strenght Goal	225
PP Goal	49
PK Goal	2
Empty Net Goal	3

	Home	Away
Win	28	26
Lost	10	13
Overtime Lost	4	3


PP Attempt	279
PP Goal	49
PK Attempt	255
PK Goal Against	39

	Home
Shots For	34.0
Shots Against	30.6
Goals For	3.3
Goals Against	2.5
Hits	19.6
Shots Blocked	9.5
Pim	7.3