Puckéligue - Calendrier Pro Senateurs

STATISTIQUE

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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%	GA	TA	EG	HT	P/20	PSG
1	Aleksander Barkov	Senateurs	C/LW/RW	63	31	43	74	11	12	0	54	259	69	179	11.97%	17	21.84	9	12	21	184	1	0	1	37	5	1	60.03%	1491	0	0	1	1.08	1	2
2	Lucas Raymond	Senateurs	LW/RW	63	32	42	74	17	0	0	26	285	69	199	11.23%	15	21.70	10	6	16	183	0	1	1	11	4	1	25.69%	109	0	0	0	1.08	1	1
3	David Pastrnak	Senateurs	RW	63	30	33	63	9	22	0	49	281	86	201	10.68%	6	22.51	10	12	22	185	1	0	1	120	5	1	43.24%	111	0	0	0	0.89	0	1
4	Moritz Seider	Senateurs	D	63	10	41	51	1	66	0	161	117	44	94	8.55%	122	27.83	4	7	11	192	0	2	2	115	1	1	-%	0	0	0	0	0.58	0	0
5	Drake Batherson	Senateurs	C/RW	63	16	34	50	17	20	0	120	194	52	136	8.25%	8	18.06	0	1	1	7	0	0	0	3	3	0	33.67%	98	0	0	0	0.88	0	0
6	Filip Forsberg	Senateurs	LW	63	16	32	48	9	26	0	147	197	63	158	8.12%	5	20.42	4	7	11	173	0	0	0	0	2	1	41.75%	103	0	0	0	0.75	0	0
7	Quinn Hughes	Senateurs	D	63	4	40	44	10	2	0	29	74	22	49	5.41%	70	23.03	1	8	9	141	0	0	0	142	0	1	-%	0	0	0	0	0.61	0	0
8	Brandon Montour	Senateurs	D	63	10	32	42	3	46	20	57	97	27	74	10.31%	72	26.93	6	9	15	228	0	0	0	122	2	1	-%	0	0	0	0	0.50	0	1
9	Connor Clifton	Senateurs	D	63	9	28	37	16	76	0	185	84	30	55	10.71%	118	24.93	2	10	12	149	0	0	0	85	3	1	-%	0	0	0	0	0.47	0	0
10	Frederick Gaudreau	Senateurs	C/RW	63	14	22	36	-2	6	0	25	183	43	124	7.65%	15	18.68	4	7	11	184	0	0	0	122	2	0	53.82%	1033	0	0	0	0.61	0	3
11	Joshua Norris	Senateurs	C	49	17	14	31	16	6	0	60	94	25	69	18.09%	6	10.23	0	0	0	1	0	0	0	0	3	2	56.51%	568	0	0	1	1.24	0	0
12	Michael McCarron	Senateurs	C/RW	63	8	16	24	1	14	0	72	85	19	48	9.41%	21	12.39	1	11	12	180	0	1	1	121	1	0	60.04%	971	0	0	0	0.61	0	0
13	Alexander Barabanov	Senateurs	LW/RW	63	8	9	17	5	4	0	27	48	13	34	16.67%	9	10.31	0	0	0	6	0	0	0	1	4	0	28.28%	746	0	0	0	0.52	0	0
14	Nicolas Hague	Senateurs	D	39	4	9	13	9	4	0	36	17	4	12	23.53%	27	11.65	0	0	0	19	0	0	0	28	0	1	-%	0	0	0	0	0.57	0	0
15	Ryan O'Reilly	Senateurs	C	63	7	5	12	-3	0	0	9	57	13	31	12.28%	4	7.28	0	0	0	0	0	0	0	0	0	0	51.28%	39	0	0	0	0.52	0	0
16	Kaapo Kakko	Senateurs	RW	63	4	4	8	-3	12	0	39	35	10	21	11.43%	8	8.03	0	1	1	8	0	0	0	3	1	0	40.00%	35	0	0	0	0.32	0	0
17	Keegan Kolesar	Senateurs	RW	63	3	5	8	0	20	0	50	29	18	39	10.34%	5	9.26	0	0	0	0	0	0	0	115	0	0	44.00%	75	0	0	0	0.27	0	3
18	Jacob Bryson	Senateurs	D	38	2	4	6	11	2	0	13	16	9	18	12.50%	47	14.55	0	0	0	7	0	0	0	18	2	0	-%	0	0	0	0	0.22	0	0
19	Sam Lafferty	Senateurs	C/LW/RW	63	0	0	0	0	0	0	0	0	0	0	-%	0	0.05	0	0	0	0	0	0	0	0	0	0	-%	0	0	0	0	0.00	0	0
Moyenne d'équipe		1134	225	413	638	127	338	20	1159	2152	616	1541	10.46%	575	16.51	51	91	142	1855	2	4	6	1051	38	11	51.78%	5379	0	0	2	0.68	2	11

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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	Michael DiPietro	Senateurs	28	18	6	1	0.906	2.79	1589	15	0	74	786	0	1	0	-	0	27	14	0	1	0
2	Alex Nedeljkovic	Senateurs	31	14	13	3	0.902	3.09	1727	4	1	89	906	0	1	1	0.400	10	28	35	1	0	1
3	Alex Lyon	Senateurs	9	6	1	1	0.919	2.17	498	0	1	18	223	0	0	0	-	0	8	14	1	0	0
Moyenne d'équipe	68	38	20	5	0.905	2.85	3815	19	2	181	1915	0	2	1	0.400	10	63	63	2	1	1

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	5	4	0	0	0	1	0	0	23	10	9	23	43	66	0	0	13	4	6	0	189	62	54	70	3	148	38	20	77	13	3	9	0	0	1172	2253	1061	2066	552	1010	0.900	23.08%	100.00%	52.02%	51.36%	54.65%	118	85	118	35	64	33	66.7%	12.2%	93.2%	105.4	LUCKY
2	Bruins	3	1	1	0	0	0	0	1	12	11	3	12	19	31	0	0	3	7	2	2	107	22	40	42	9	84	25	24	74	10	4	12	5	0	1172	2253	1061	2066	552	1010	0.500	40.00%	58.33%	52.02%	51.36%	54.65%	73	51	72	23	38	19	57.1%	11.2%	86.9%	98.1	FUN
3	Rangers	3	1	1	0	0	0	0	1	9	10	3	9	18	27	0	0	3	3	3	0	91	25	27	35	7	113	29	39	44	11	2	12	1	1	1172	2253	1061	2066	552	1010	0.500	18.18%	91.67%	52.02%	51.36%	54.65%	70	48	74	23	40	19	43.8%	9.9%	91.2%	101.0	LUCKY
4	Predators	1	0	1	0	0	0	0	0	2	5	0	2	3	5	0	0	1	0	1	0	32	10	12	10	0	52	5	4	21	4	0	2	1	0	1172	2253	1061	2066	552	1010	0.000	0.00%	50.00%	52.02%	51.36%	54.65%	23	16	23	7	13	6	33.3%	6.3%	90.4%	96.6	Unlucky
5	Red Wings	4	4	0	0	0	0	0	0	21	5	8	21	38	59	0	2	11	4	6	0	147	50	52	45	0	92	32	16	65	24	7	7	1	0	1172	2253	1061	2066	552	1010	1.000	29.17%	85.71%	52.02%	51.36%	54.65%	110	77	78	28	51	27	77.8%	14.3%	94.6%	108.9	LUCKY
6	Jets	2	1	1	0	0	0	0	0	5	8	2	5	7	12	0	0	2	1	2	0	79	38	19	22	0	63	16	10	35	9	2	5	4	0	1172	2253	1061	2066	552	1010	0.500	22.22%	20.00%	52.02%	51.36%	54.65%	44	29	50	15	25	13	42.9%	6.3%	87.3%	93.6	Unlucky
7	Hurricanes	2	0	2	0	0	0	0	0	3	7	0	3	5	8	0	0	1	1	1	0	51	26	17	8	0	57	13	21	48	6	1	7	3	0	1172	2253	1061	2066	552	1010	0.000	16.67%	57.14%	52.02%	51.36%	54.65%	43	28	50	15	26	12	33.3%	5.9%	87.7%	93.6	Unlucky
8	Capitals	3	2	0	0	1	0	0	0	12	6	6	12	24	36	0	0	4	5	2	1	111	33	40	37	1	92	29	12	54	13	5	6	0	0	1172	2253	1061	2066	552	1010	1.000	38.46%	100.00%	52.02%	51.36%	54.65%	72	51	69	22	38	19	53.8%	10.8%	93.5%	104.3	LUCKY
9	Canadiens	4	2	1	0	0	1	0	0	10	9	5	10	19	29	0	0	4	4	2	0	144	60	45	37	2	95	31	10	80	15	2	5	1	0	1172	2253	1061	2066	552	1010	0.625	13.33%	80.00%	52.02%	51.36%	54.65%	103	72	86	30	53	27	50.0%	6.9%	90.5%	97.5	Unlucky
10	Lightning	5	1	2	0	2	0	0	0	19	18	6	19	34	53	0	0	8	6	3	2	154	56	52	43	3	137	36	20	89	19	2	7	1	0	1172	2253	1061	2066	552	1010	0.600	10.53%	85.71%	52.02%	51.36%	54.65%	124	87	111	36	68	34	50.0%	12.3%	86.9%	99.2	FUN
11	Flyers	4	1	2	0	1	0	0	0	9	12	4	9	18	27	0	0	4	3	1	1	122	33	48	38	3	136	44	33	67	11	1	9	2	0	1172	2253	1061	2066	552	1010	0.500	9.09%	77.78%	52.02%	51.36%	54.65%	96	67	94	30	52	26	44.4%	7.4%	91.2%	98.6	DULL
12	Sharks	1	1	0	0	0	0	0	0	6	3	2	6	10	16	0	0	1	1	4	0	41	11	9	21	0	24	10	6	23	4	3	3	2	0	1172	2253	1061	2066	552	1010	1.000	75.00%	33.33%	52.02%	51.36%	54.65%	27	19	19	6	12	6	75.0%	14.6%	87.5%	102.1	FUN
13	Avalanche	1	1	0	0	0	0	0	0	3	2	2	3	6	9	0	0	0	0	3	0	25	7	7	11	0	35	26	12	16	2	0	6	1	0	1172	2253	1061	2066	552	1010	1.000	0.00%	83.33%	52.02%	51.36%	54.65%	21	13	26	7	12	6	75.0%	12.0%	94.3%	106.3	LUCKY
14	Ducks	1	0	1	0	0	0	0	0	0	6	0	0	0	0	0	0	0	0	0	0	28	7	13	8	0	43	8	8	18	1	0	4	0	0	1172	2253	1061	2066	552	1010	0.000	0.00%	100.00%	52.02%	51.36%	54.65%	23	16	23	6	12	6	0.0%	0.0%	86.0%	86.0	Unlucky
15	Oilers	1	1	0	0	0	0	0	0	6	3	2	6	11	17	0	0	2	2	2	0	36	13	9	14	0	37	9	2	22	3	2	1	0	0	1172	2253	1061	2066	552	1010	1.000	66.67%	100.00%	52.02%	51.36%	54.65%	21	14	25	8	13	6	57.1%	16.7%	91.9%	108.6	LUCKY
16	Maple Leafs	6	3	2	0	1	0	0	0	21	17	8	21	40	61	1	0	9	7	4	1	172	60	52	59	1	176	49	32	117	11	3	16	4	0	1172	2253	1061	2066	552	1010	0.667	27.27%	75.00%	52.02%	51.36%	54.65%	130	88	153	43	77	37	58.1%	12.2%	90.3%	102.6	FUN
17	Canucks	1	1	0	0	0	0	0	0	3	1	2	3	6	9	0	0	2	1	0	0	34	7	15	12	0	22	7	4	21	3	0	2	1	0	1172	2253	1061	2066	552	1010	1.000	0.00%	50.00%	52.02%	51.36%	54.65%	29	21	18	6	12	6	100.0%	8.8%	95.5%	104.3	DULL
18	Wild	1	0	1	0	0	0	0	0	2	5	0	2	4	6	0	0	2	0	0	0	35	15	12	8	0	28	5	6	14	4	1	3	0	0	1172	2253	1061	2066	552	1010	0.000	25.00%	100.00%	52.02%	51.36%	54.65%	24	17	22	7	12	6	16.7%	5.7%	82.1%	87.9	Unlucky
19	Kings	1	1	0	0	0	0	0	0	5	2	2	5	9	14	0	0	0	3	2	0	28	3	17	8	0	41	13	6	20	3	1	3	1	0	1172	2253	1061	2066	552	1010	1.000	33.33%	66.67%	52.02%	51.36%	54.65%	22	15	23	7	13	6	80.0%	17.9%	95.1%	113.0	LUCKY
20	Golden Knights	1	0	0	0	1	0	0	0	5	4	2	5	8	13	0	0	1	2	1	1	54	13	22	16	3	34	10	6	16	6	1	3	1	0	1172	2253	1061	2066	552	1010	1.000	16.67%	66.67%	52.02%	51.36%	54.65%	29	21	21	7	13	7	57.1%	9.3%	88.2%	97.5	FUN
21	Stars	1	0	1	0	0	0	0	0	3	4	0	3	5	8	0	0	1	2	0	0	35	10	16	9	0	29	6	2	20	3	1	1	0	0	1172	2253	1061	2066	552	1010	0.000	33.33%	100.00%	52.02%	51.36%	54.65%	27	19	21	6	11	6	33.3%	8.6%	86.2%	94.8	Unlucky
22	Flames	1	0	1	0	0	0	0	0	2	4	0	2	3	5	0	0	2	0	0	0	33	15	11	7	0	29	8	8	7	2	0	4	1	0	1172	2253	1061	2066	552	1010	0.000	0.00%	75.00%	52.02%	51.36%	54.65%	24	17	22	6	12	5	40.0%	6.1%	86.2%	92.3	Unlucky
23	Devils	4	3	1	0	0	0	0	0	19	8	6	19	37	56	0	0	7	8	4	0	177	64	57	56	0	95	40	16	66	17	4	8	3	1	1172	2253	1061	2066	552	1010	0.750	23.53%	62.50%	52.02%	51.36%	54.65%	115	83	73	26	51	28	75.0%	10.7%	91.6%	102.3	LUCKY
24	Panthers	2	1	0	0	1	0	0	0	7	4	4	7	14	21	0	0	3	2	1	1	59	26	16	15	2	60	21	14	34	8	2	7	1	0	1172	2253	1061	2066	552	1010	1.000	25.00%	85.71%	52.02%	51.36%	54.65%	41	27	52	15	27	12	62.5%	11.9%	93.3%	105.2	LUCKY
25	Islanders	1	0	0	0	0	0	0	1	3	4	1	3	5	8	0	0	2	0	1	0	42	14	11	14	5	36	26	8	23	4	1	4	1	0	1172	2253	1061	2066	552	1010	0.500	25.00%	75.00%	52.02%	51.36%	54.65%	27	19	25	6	11	6	40.0%	7.1%	88.9%	96.0	Unlucky
26	Penguins	3	0	2	0	1	0	0	0	11	15	2	11	20	31	0	0	5	4	1	1	96	28	33	32	3	112	31	18	57	14	3	9	1	0	1172	2253	1061	2066	552	1010	0.333	21.43%	88.89%	52.02%	51.36%	54.65%	74	50	68	22	40	20	36.4%	11.5%	86.6%	98.1	FUN
27	Kraken	1	1	0	0	0	0	0	0	4	2	2	4	7	11	0	0	1	3	0	0	30	14	11	5	0	46	8	0	31	2	0	0	0	0	1172	2253	1061	2066	552	1010	1.000	0.00%	0.00%	52.02%	51.36%	54.65%	22	15	24	7	12	6	66.7%	13.3%	95.7%	109.0	LUCKY

_Vs Division	29	16	6	0	4	2	0	1	113	74	43	113	207	320	1	2	51	34	24	6	972	336	311	311	20	792	232	136	536	100	23	63	13	0	1172	2253	1061	2066	552	1010	0.741	23.00%	79.37%	52.02%	51.36%	54.65%	702	489	674	213	381	193	59.6%	11.6%	90.7%	102.3	FUN
	_Vs Conference	49	23	14	0	7	2	0	3	179	136	65	179	334	513	1	2	77	58	37	9	1662	559	544	531	39	1433	444	283	895	176	40	118	24	2	1172	2253	1061	2066	552	1010	0.663	22.73%	79.66%	52.02%	51.36%	54.65%	1202	838	1128	360	642	325	55.4%	10.8%	90.5%	101.3	FUN
	_Since Last GM Reset	63	30	20	0	8	2	0	3	225	185	81	225	413	638	1	2	92	73	52	10	2152	722	717	682	42	1916	575	357	1159	222	51	155	36	2	1172	2253	1061	2066	552	1010	0.643	22.97%	76.77%	52.02%	51.36%	54.65%	1545	1077	1452	461	821	416	53.9%	10.5%	90.3%	100.8	FUN
	Total	63	30	20	0	8	2	0	3	225	185	81	225	413	638	1	2	92	73	52	10	2152	722	717	682	42	1916	575	357	1159	222	51	155	36	2	1172	2253	1061	2066	552	1010	0.643	22.97%	76.77%	52.02%	51.36%	54.65%	1545	1077	1452	461	821	416	53.9%	10.5%	90.3%	100.8	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	13
Defensive Zone	23

	Puck Time
Offensive Zone Start	2253
Neutral Zone Start	1010
Defensive Zone Start	2066

	Puck Time
With Puck	31
Without Puck	29

	Faceoffs
Faceoffs Won	2785
Faceoffs Lost	2544

	Team Average Shots after	League Average Shots after
1st Period	11.5	9.57
2nd Period	22.8	20.31
3rd Period	33.7	30.68
Overtime	34.3	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	11.5	9.57
2nd Period	22.8	20.31
3rd Period	33.7	30.68
Overtime	34.3	31.4


Even Strength Goal	171
PP Goal	51
PK Goal	2
Empty Net Goal	1

	Home	Away
Win	20	18
Lost	8	12
Overtime Lost	1	4


Win	20	18
Lost	8	12
Overtime Lost	1	4

	Home
Shots For	34.2
Shots Against	30.4
Goals For	3.6
Goals Against	2.9
Hits	18.4
Shots Blocked	9.1
Pim	5.7