Puckéligue - Calendrier Pro Avalanche

STATISTIQUE

Afficher ou Masquer des Colonnes

Astuces sur les Filtres

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	Roope Hintz	Avalanche	C/LW	63	31	29	60	9	0	0	28	230	73	178	13.48%	5	18.08	8	4	12	151	0	0	0	4	5	1	59.09%	88	0	0	0	2	1.05	1	1
2	Matthew Boldy	Avalanche	LW/RW	63	29	28	57	14	20	0	62	275	84	219	10.55%	8	19.33	3	9	12	155	0	0	0	10	4	0	29.03%	93	0	0	0	0	0.94	2	4
3	Claude Giroux	Avalanche	C/LW/RW	63	15	40	55	13	28	0	91	213	61	145	7.04%	13	20.27	2	9	11	156	0	0	0	50	3	0	59.75%	1610	0	0	0	0	0.86	0	0
4	Timo Meier	Avalanche	LW/RW	63	19	22	41	9	70	20	122	206	69	149	9.22%	9	17.38	3	6	9	150	0	0	0	1	2	1	34.07%	91	0	0	0	1	0.75	0	0
5	Nic Dowd	Avalanche	C/RW	63	14	23	37	10	28	0	91	142	26	97	9.86%	32	18.13	0	0	0	0	1	1	2	181	1	2	55.11%	1535	0	0	1	0	0.65	0	0
6	Mason McTavish	Avalanche	C/LW	63	15	20	35	16	18	0	104	172	42	117	8.72%	5	16.85	0	0	0	1	0	0	0	1	4	2	49.46%	93	0	0	0	0	0.66	0	4
7	Ryan McLeod	Avalanche	C	63	8	25	33	-11	0	0	9	136	38	97	5.88%	6	12.44	2	10	12	150	0	0	0	0	0	0	55.64%	1037	0	0	0	0	0.84	0	1
8	Dmitry Orlov	Avalanche	D	63	6	25	31	13	34	0	108	70	12	50	8.57%	107	24.02	3	2	5	151	0	0	0	184	1	1	-%	0	0	0	0	0	0.41	0	0
9	Ryan Pulock	Avalanche	D	63	8	17	25	-1	21	5	60	74	41	64	10.81%	75	20.23	3	2	5	152	0	0	0	69	1	1	-%	0	0	0	0	0	0.39	0	0
10	Damon Severson	Avalanche	D	56	1	23	24	10	24	0	51	53	24	41	1.89%	75	19.76	0	7	7	133	0	0	0	169	0	0	-%	0	0	0	0	0	0.43	0	0
11	William Borgen	Avalanche	D	63	6	16	22	-5	56	0	127	57	21	54	10.53%	101	21.14	4	3	7	149	0	0	0	186	1	0	-%	0	0	0	0	0	0.33	0	0
12	Morgan Geekie	Avalanche	C	63	8	9	17	-12	20	0	61	128	40	104	6.25%	5	12.49	2	2	4	152	0	0	0	0	0	0	48.89%	45	0	0	0	0	0.43	0	0
13	Nico Sturm	Avalanche	C	63	6	6	12	-4	8	0	44	71	24	48	8.45%	9	9.83	0	0	0	0	0	1	1	172	1	1	52.17%	46	0	0	0	0	0.39	0	0
14	Brendan Smith	Avalanche	LW/D	63	2	7	9	-8	41	5	78	34	16	20	5.88%	60	16.10	0	0	0	9	0	0	0	48	0	1	-%	0	0	0	0	0	0.18	0	0
15	Noel Acciari	Avalanche	C/RW	63	4	4	8	-7	16	0	70	53	24	46	7.55%	17	10.15	0	0	0	5	0	0	0	183	1	1	50.12%	830	0	0	0	0	0.25	0	0
16	Vincent Desharnais	Avalanche	D	51	1	6	7	-5	70	10	110	21	8	29	4.76%	74	21.33	0	0	0	2	0	1	1	112	0	0	-%	0	0	0	0	0	0.13	0	0
17	Kirby Dach	Monsters (COL)	C	24	3	2	5	-3	12	0	29	38	7	31	7.89%	2	12.50	0	0	0	2	0	0	0	58	1	0	39.29%	28	0	0	0	0	0.33	0	3
18	Cole Koepke	Avalanche	C/LW/RW	42	1	4	5	-10	22	0	53	38	12	18	2.63%	7	12.09	0	0	0	0	0	0	0	114	0	0	22.50%	40	0	0	0	0	0.20	0	0
19	Adam Gaudette	Avalanche	C	63	3	1	4	-8	0	0	14	67	15	42	4.48%	3	7.48	0	0	0	2	0	0	0	7	3	0	53.57%	28	0	0	0	0	0.17	0	0
20	Kurtis MacDermid	Monsters (COL)	D	16	1	1	2	5	29	5	25	10	1	0	10.00%	13	16.38	0	0	0	18	1	0	1	16	0	0	-%	0	0	0	0	0	0.15	0	0
Moyenne d'équipe		1134	181	308	489	25	517	45	1337	2088	638	1549	8.67%	626	16.43	30	54	84	1546	2	3	5	1573	28	11	54.60%	5564	0	0	1	3	0.52	3	13

Afficher ou Masquer des Colonnes

Astuces sur les Filtres

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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Karel Vejmelka	Avalanche	48	19	18	7	0.904	3.03	2610	4	1	132	1369	0	0	1	0.700	10	47	16	6	2	2
2	Sergei Bobrovsky	Avalanche	23	10	3	6	0.921	2.47	1215	2	1	50	631	0	0	0	0.333	3	16	47	2	1	2
Moyenne d'équipe	71	29	21	13	0.909	2.86	3825	6	2	182	2000	0	0	1	0.615	13	63	63	8	3	4

Afficher ou Masquer des Colonnes

Astuces sur les Filtres

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	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
1	Sabres	1	0	0	0	0	0	0	1	2	3	1	2	3	5	0	0	0	1	1	0	36	5	16	13	5	40	10	14	14	3	1	7	0	0	1254	2248	1231	2222	553	1023	0.500	33.33%	100.00%	55.78%	55.40%	54.06%	23	15	29	7	12	6	25.0%	5.6%	92.5%	98.1	DULL
2	Rangers	2	1	0	0	0	1	0	0	6	6	3	6	10	16	0	0	3	2	1	0	71	22	22	25	2	66	22	8	38	8	2	3	0	0	1254	2248	1231	2222	553	1023	0.750	25.00%	100.00%	55.78%	55.40%	54.06%	45	30	48	16	27	13	40.0%	8.5%	90.9%	99.4	Unlucky
3	Predators	5	2	2	0	0	1	0	0	16	15	5	16	26	42	0	0	7	2	7	0	155	45	42	65	3	141	50	36	87	14	4	18	3	0	1254	2248	1231	2222	553	1023	0.500	28.57%	83.33%	55.78%	55.40%	54.06%	119	82	118	36	66	32	50.0%	10.3%	89.4%	99.7	FUN
4	Jets	5	1	3	0	0	0	0	1	10	15	3	10	18	28	0	1	4	5	1	1	126	42	40	42	5	161	60	55	120	14	1	25	3	0	1254	2248	1231	2222	553	1023	0.300	7.14%	88.00%	55.78%	55.40%	54.06%	106	68	130	39	67	32	42.9%	7.9%	90.7%	98.6	Unlucky
5	Capitals	1	1	0	0	0	0	0	0	4	1	2	4	7	11	0	0	2	2	0	0	29	11	13	5	0	28	8	17	26	2	0	6	0	0	1254	2248	1231	2222	553	1023	1.000	0.00%	100.00%	55.78%	55.40%	54.06%	20	13	26	7	13	6	80.0%	13.8%	96.4%	110.2	LUCKY
6	Lightning	1	1	0	0	0	0	0	0	3	1	2	3	6	9	0	0	1	1	1	0	38	17	7	14	0	30	10	10	18	2	1	5	0	0	1254	2248	1231	2222	553	1023	1.000	50.00%	100.00%	55.78%	55.40%	54.06%	24	16	22	7	13	6	66.7%	7.9%	96.7%	104.6	DULL
7	Flyers	1	0	1	0	0	0	0	0	2	5	0	2	2	4	0	0	1	1	0	0	21	4	8	9	0	35	16	12	26	4	1	6	3	0	1254	2248	1231	2222	553	1023	0.000	25.00%	50.00%	55.78%	55.40%	54.06%	20	12	24	8	14	6	33.3%	9.5%	85.7%	95.2	FUN
8	Sharks	1	0	0	0	1	0	0	0	3	2	2	3	5	8	0	0	1	1	0	1	55	18	14	22	1	18	5	2	20	2	0	1	0	0	1254	2248	1231	2222	553	1023	1.000	0.00%	100.00%	55.78%	55.40%	54.06%	29	22	17	6	12	6	60.0%	5.5%	88.9%	94.3	Unlucky
9	Black Hawks	5	2	1	0	0	2	0	0	13	11	6	13	23	36	0	1	5	6	2	0	189	57	64	65	3	139	55	41	118	11	3	17	3	1	1254	2248	1231	2222	553	1023	0.600	27.27%	82.35%	55.78%	55.40%	54.06%	125	89	115	35	65	32	55.6%	6.9%	92.1%	99.0	DULL
10	Ducks	2	1	0	0	0	1	0	0	9	7	3	9	18	27	0	0	3	2	4	0	93	29	29	34	1	64	17	23	52	7	0	9	4	0	1254	2248	1231	2222	553	1023	0.750	0.00%	55.56%	55.78%	55.40%	54.06%	54	37	42	15	27	14	75.0%	9.7%	89.1%	98.7	FUN
11	Oilers	4	1	3	0	0	0	0	0	10	13	2	10	17	27	1	0	3	2	5	0	123	40	37	46	0	146	34	36	71	12	1	17	5	0	1254	2248	1231	2222	553	1023	0.250	8.33%	70.59%	55.78%	55.40%	54.06%	91	62	98	29	50	24	52.9%	8.1%	91.1%	99.2	Unlucky
12	Senateurs	1	0	1	0	0	0	0	0	2	3	0	2	3	5	0	0	0	1	1	0	35	5	19	11	0	25	8	4	15	6	1	2	0	0	1254	2248	1231	2222	553	1023	0.000	16.67%	100.00%	55.78%	55.40%	54.06%	26	18	21	7	12	6	25.0%	5.7%	88.0%	93.7	Unlucky
13	Maple Leafs	1	1	0	0	0	0	0	0	3	1	2	3	5	8	0	0	0	3	0	0	35	7	17	11	0	20	6	4	22	3	0	2	0	0	1254	2248	1231	2222	553	1023	1.000	0.00%	100.00%	55.78%	55.40%	54.06%	25	18	22	7	12	6	75.0%	8.6%	95.0%	103.6	DULL
14	Canucks	2	0	2	0	0	0	0	0	1	7	0	1	1	2	0	0	1	0	0	0	44	17	14	13	0	60	27	20	39	3	0	9	2	0	1254	2248	1231	2222	553	1023	0.000	0.00%	77.78%	55.78%	55.40%	54.06%	45	30	47	14	26	13	16.7%	2.3%	88.3%	90.6	Unlucky
15	Wild	3	1	1	0	0	1	0	0	6	8	3	6	10	16	0	0	3	1	2	0	106	35	32	39	0	117	35	20	65	7	0	10	0	0	1254	2248	1231	2222	553	1023	0.500	0.00%	100.00%	55.78%	55.40%	54.06%	68	47	76	22	38	18	42.9%	5.7%	93.2%	98.8	DULL
16	Blues	5	1	1	0	0	2	0	1	18	23	5	18	32	50	0	0	6	8	4	0	174	47	56	66	8	159	53	48	103	18	5	18	3	0	1254	2248	1231	2222	553	1023	0.500	27.78%	83.33%	55.78%	55.40%	54.06%	120	80	122	36	66	34	39.4%	10.3%	85.5%	95.9	FUN
17	Kings	4	2	2	0	0	0	0	0	7	10	4	7	13	20	0	0	1	3	3	0	141	41	57	43	0	118	36	24	87	18	2	11	0	1	1254	2248	1231	2222	553	1023	0.500	11.11%	100.00%	55.78%	55.40%	54.06%	98	68	89	28	52	26	33.3%	5.0%	91.5%	96.5	DULL
18	Golden Knights	3	1	0	0	1	0	1	0	8	5	6	8	11	19	0	0	3	1	2	3	93	31	34	24	8	76	27	28	51	12	1	9	1	0	1254	2248	1231	2222	553	1023	1.000	8.33%	88.89%	55.78%	55.40%	54.06%	73	51	71	23	40	21	63.6%	8.6%	93.4%	102.0	DULL
19	Stars	3	2	0	0	1	0	0	0	12	7	6	12	20	32	0	0	6	2	3	1	101	27	38	32	4	101	24	26	64	5	0	12	0	0	1254	2248	1231	2222	553	1023	1.000	0.00%	100.00%	55.78%	55.40%	54.06%	76	52	68	22	39	20	63.2%	11.9%	93.1%	105.0	LUCKY
20	Flames	4	0	3	0	1	0	0	0	9	12	2	9	15	24	0	0	6	2	0	1	129	45	53	29	2	131	35	26	94	10	1	12	2	0	1254	2248	1231	2222	553	1023	0.250	10.00%	83.33%	55.78%	55.40%	54.06%	96	67	96	27	48	23	44.4%	7.0%	90.8%	97.8	Unlucky
21	Devils	1	1	0	0	0	0	0	0	8	4	2	8	13	21	0	0	1	3	4	0	53	12	21	20	0	30	10	8	21	3	1	3	1	0	1254	2248	1231	2222	553	1023	1.000	33.33%	66.67%	55.78%	55.40%	54.06%	27	20	20	6	11	6	70.0%	15.1%	86.7%	101.8	FUN
22	Panthers	2	1	0	0	0	1	0	0	8	8	3	8	13	21	0	0	1	4	3	0	79	21	32	26	0	68	16	18	59	4	1	8	3	0	1254	2248	1231	2222	553	1023	0.750	25.00%	62.50%	55.78%	55.40%	54.06%	46	32	48	14	25	12	58.3%	10.1%	88.2%	98.4	FUN
23	Islanders	1	0	0	0	0	1	0	0	4	5	1	4	7	11	0	0	1	3	0	0	28	7	16	5	0	35	10	2	15	4	2	1	0	0	1254	2248	1231	2222	553	1023	0.500	50.00%	100.00%	55.78%	55.40%	54.06%	22	16	24	7	13	6	28.6%	14.3%	85.7%	100.0	FUN
24	Penguins	1	0	0	0	1	0	0	0	4	3	2	4	6	10	0	0	1	0	2	1	17	3	8	3	3	47	12	10	23	2	0	5	1	0	1254	2248	1231	2222	553	1023	1.000	0.00%	80.00%	55.78%	55.40%	54.06%	20	13	28	8	13	6	66.7%	23.5%	93.6%	117.1	LUCKY
25	Kraken	4	3	1	0	0	0	0	0	14	11	6	14	24	38	0	0	7	5	2	0	117	44	42	31	0	146	40	31	89	6	2	12	1	0	1254	2248	1231	2222	553	1023	0.750	33.33%	91.67%	55.78%	55.40%	54.06%	82	53	101	30	55	26	54.5%	12.0%	92.5%	104.4	LUCKY

_Vs Division	26	9	8	0	1	6	0	2	75	79	28	75	129	204	0	2	31	24	19	2	851	253	272	309	23	818	277	226	557	69	13	100	12	1	1254	2248	1231	2222	553	1023	0.538	18.84%	88.00%	55.78%	55.40%	54.06%	616	421	631	193	342	171	48.1%	8.8%	90.3%	99.2	Unlucky
	_Vs Conference	50	17	19	0	4	7	1	2	136	146	53	136	233	369	1	2	56	40	35	7	1646	518	552	551	35	1577	498	416	1060	139	20	180	27	2	1254	2248	1231	2222	553	1023	0.530	14.39%	85.00%	55.78%	55.40%	54.06%	1188	814	1197	371	656	326	49.4%	8.3%	90.7%	99.0	Unlucky
	_Since Last GM Reset	63	23	21	0	5	10	1	3	182	186	71	182	308	490	1	2	67	61	48	8	2088	632	731	693	45	2001	626	523	1337	180	30	228	35	2	1254	2248	1231	2222	553	1023	0.563	16.67%	84.65%	55.78%	55.40%	54.06%	1492	1022	1515	470	827	410	50.2%	8.7%	90.7%	99.4	Unlucky
	Total	63	23	21	0	5	10	1	3	182	186	71	182	308	490	1	2	67	61	48	8	2088	632	731	693	45	2001	626	523	1337	180	30	228	35	2	1254	2248	1231	2222	553	1023	0.563	16.67%	84.65%	55.78%	55.40%	54.06%	1492	1022	1515	470	827	410	50.2%	8.7%	90.7%	99.4	Unlucky

	Puck Time
Offensive Zone	23
Neutral Zone	13
Defensive Zone	24

	Puck Time
Offensive Zone Start	2248
Neutral Zone Start	1023
Defensive Zone Start	2222

	Puck Time
With Puck	30
Without Puck	30

	Faceoffs
Faceoffs Won	3038
Faceoffs Lost	2455

	Team Average Shots after	League Average Shots after
1st Period	10.0	9.57
2nd Period	21.6	20.31
3rd Period	32.6	30.68
Overtime	33.3	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	10.0	9.57
2nd Period	21.6	20.31
3rd Period	32.6	30.68
Overtime	33.3	31.4


Even Strength Goal	149
PP Goal	30
PK Goal	2
Empty Net Goal	1

	Home	Away
Win	15	14
Lost	10	11
Overtime Lost	6	7


Win	15	14
Lost	10	11
Overtime Lost	6	7

	Home
Shots For	33.1
Shots Against	31.8
Goals For	2.9
Goals Against	3.0
Hits	21.2
Shots Blocked	9.9
Pim	8.3