Puckéligue - Calendrier Pro Senateurs

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	TA	EG	HT	P/20	PSG
1	Aleksander Barkov	Senateurs	C/LW/RW	81	38	52	90	18	36	0	127	342	115	285	11.11%	21	22.55	7	13	20	207	0	0	0	134	9	3	58.28%	1877	0	0	0	0.99	2	3
2	David Pastrnak	Senateurs	RW	84	28	48	76	6	30	0	135	324	93	259	8.64%	9	19.53	4	13	17	177	1	0	1	31	8	0	34.17%	199	0	0	0	0.93	1	2
3	Quinn Hughes	Senateurs	D	84	8	53	61	2	4	0	23	126	39	94	6.35%	85	23.39	7	13	20	319	0	0	0	123	2	0	0.00%	0	0	0	0	0.62	0	0
4	Lucas Raymond	Senateurs	LW/RW	84	31	30	61	7	18	0	70	275	63	180	11.27%	9	18.89	2	7	9	100	0	0	0	42	6	1	35.48%	93	0	0	0	0.77	0	1
5	Ryan O'Reilly	Senateurs	C	84	20	33	53	7	12	0	27	268	74	193	7.46%	20	18.54	0	4	4	53	0	0	0	84	3	1	58.91%	1723	0	0	0	0.68	0	2
6	Moritz Seider	Senateurs	D	84	12	39	51	-11	117	15	222	163	56	111	7.36%	141	23.28	9	14	23	241	0	1	1	182	0	0	0.00%	0	0	0	0	0.52	0	0
7	Filip Forsberg	Senateurs	LW	70	19	28	47	5	54	10	141	252	77	204	7.54%	3	18.08	3	7	10	143	0	0	0	11	2	1	48.78%	82	0	0	0	0.74	1	2
8	Drake Batherson	Senateurs	C/RW	84	18	27	45	7	18	0	114	229	66	173	7.86%	6	17.14	4	8	12	204	0	0	0	28	3	1	34.18%	392	0	1	0	0.62	1	3
9	Brandon Montour	Senateurs	D	82	8	32	40	-1	67	5	154	121	30	66	6.61%	86	19.94	6	7	13	190	0	0	0	3	1	0	0.00%	0	0	0	0	0.49	0	0
10	Frederick Gaudreau	Senateurs	C/RW	84	14	19	33	-6	6	0	16	130	42	107	10.77%	13	17.75	3	3	6	149	0	0	0	204	0	2	52.20%	1362	0	1	0	0.44	1	2
11	Alec Martinez	Senateurs	D	84	9	19	28	18	10	0	27	73	30	31	12.33%	122	17.97	0	0	0	5	0	0	0	159	0	1	0.00%	0	0	0	0	0.37	0	0
12	Joshua Norris	Senateurs	C	82	16	10	26	-8	24	0	103	139	35	101	11.51%	2	12.06	2	1	3	52	0	0	0	2	1	0	54.36%	631	0	0	0	0.53	0	0
13	Alexander Barabanov	Senateurs	LW/RW	54	10	11	21	13	8	0	26	73	10	45	13.70%	4	12.32	2	2	4	35	0	0	0	3	3	0	27.91%	43	0	1	0	0.63	0	0
14	Nicolas Hague	Senateurs	D	77	4	17	21	10	28	0	62	39	18	32	10.26%	71	11.58	3	2	5	115	0	0	0	106	0	0	0.00%	0	0	0	0	0.47	0	0
15	Connor Clifton	Senateurs	D	83	4	17	21	3	96	20	169	44	22	36	9.09%	101	15.55	0	1	1	23	0	0	0	158	0	1	0.00%	0	0	0	0	0.33	0	0
16	Jacob Bryson	Pirates (OTT)	D	47	2	12	14	2	4	0	7	16	10	15	12.50%	52	13.82	0	0	0	0	0	0	0	86	0	0	0.00%	0	0	0	0	0.43	0	0
17	Michael McCarron	Senateurs	C/RW	65	4	7	11	5	38	20	71	56	14	52	7.14%	9	8.86	1	3	4	59	0	0	0	194	1	1	49.50%	101	0	0	0	0.38	0	0
18	Miles Wood	Senateurs	LW/RW	47	5	6	11	-8	14	0	74	70	19	53	7.14%	12	11.78	0	0	0	1	0	0	0	1	3	0	25.71%	35	0	0	0	0.40	0	0
19	Kaapo Kakko	Senateurs	RW	80	3	4	7	-6	6	0	14	39	6	24	7.69%	7	8.58	1	2	3	163	0	0	0	42	2	0	42.09%	335	0	0	0	0.20	0	0
20	Sam Lafferty	Pirates (OTT)	C/LW/RW	23	2	2	4	-2	0	0	27	15	2	14	13.33%	1	10.50	0	1	1	16	0	0	0	56	0	0	42.92%	219	0	0	0	0.33	0	1
21	Keegan Kolesar	Senateurs	RW	28	1	2	3	1	4	0	21	12	7	11	8.33%	2	4.27	0	0	0	0	0	0	0	0	0	0	11.11%	9	0	0	0	0.50	0	0
22	Connor Murphy	Pirates (OTT)	D	12	0	2	2	1	25	5	33	11	8	2	0.00%	32	19.67	0	0	0	13	0	0	0	23	0	0	0.00%	0	0	0	0	0.17	0	0
23	Arthur Kaliyev	Pirates (OTT)	LW/RW	9	0	1	1	-3	2	0	7	6	4	5	0.00%	0	11.92	0	0	0	0	0	0	0	0	0	0	27.78%	36	0	0	0	0.19	0	0
Moyenne d'équipe		1512	256	471	727	60	621	75	1670	2823	840	2093	9.07%	808	16.45	54	101	155	2274	1	1	2	1682	44	12	52.61%	7137	0	0	3	0.58	6	16

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	Alex Lyon	Senateurs	70	38	22	8	0.910	2.76	4113	8	4	189	2100	2	1	0.588	17	68	10	4	2	6
2	Alex Nedeljkovic	Senateurs	18	8	7	1	0.910	2.72	971	4	2	44	489	0	0	0.000	0	16	57	2	1	0
Moyenne d'équipe			88	46	29	9	0.910	2.75	5084	12	6	233	2589	2	1	0.588	17	84	67	6	3	6

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	5	3	1	1	0	0	0	16	10	6	8	0.800	16	31	47	0	1	6	2	7	1	163	59	54	49	1	132	40	22	93	17	3	17.65%	9	0	100.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	134	95	102	34	64	33	56.5%	9.8%	92.4%	102.2	LUCKY
2	Bruins	5	1	2	0	1	0	1	17	17	0	4	0.400	17	34	51	0	0	10	1	6	1	185	63	51	66	8	115	41	57	97	16	6	37.50%	19	5	73.68%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	129	92	112	34	63	33	47.8%	9.2%	85.2%	94.4	FUN
3	Rangers	4	1	1	2	0	0	0	12	7	5	6	0.750	12	20	32	0	1	5	1	4	2	162	47	58	54	3	98	37	28	75	17	0	0.00%	13	1	92.31%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	109	78	82	29	51	26	66.7%	7.4%	92.9%	100.3	DULL
4	Predators	2	1	0	0	1	0	0	8	8	0	3	0.750	8	16	24	0	0	3	4	1	0	60	10	32	17	1	68	14	8	42	4	1	25.00%	4	1	75.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	48	33	45	15	26	13	50.0%	13.3%	88.2%	101.6	FUN
5	Red Wings	6	3	1	2	0	0	0	23	17	6	10	0.833	23	44	67	0	0	7	9	5	2	204	57	69	67	11	158	36	34	123	14	5	35.71%	17	5	70.59%	1	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	155	111	136	43	74	37	60.0%	11.3%	89.2%	100.5	FUN
6	Jets	3	1	1	1	0	0	0	6	5	1	4	0.667	6	11	17	0	0	2	1	2	1	92	33	30	27	2	91	31	28	64	8	3	37.50%	11	1	90.91%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	70	47	71	23	38	19	42.9%	6.5%	94.5%	101.0	DULL
7	Hurricanes	4	3	1	0	0	0	0	12	9	3	6	0.750	12	22	34	0	0	4	4	4	0	129	38	44	47	0	108	34	22	72	15	2	13.33%	9	3	66.67%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	96	67	91	29	52	26	62.5%	9.3%	91.7%	101.0	LUCKY
8	Capitals	4	3	1	0	0	0	0	12	6	6	6	0.750	12	21	33	0	1	7	3	2	0	127	58	33	36	0	135	29	26	84	9	2	22.22%	13	0	100.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	98	69	91	28	50	24	62.5%	9.4%	95.6%	105.0	LUCKY
9	Canadiens	5	4	1	0	0	0	0	22	11	11	8	0.800	22	41	63	0	0	4	10	8	0	170	68	53	49	0	158	47	27	109	17	3	17.65%	10	2	80.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	130	95	107	34	61	31	67.9%	12.9%	93.0%	106.0	LUCKY
10	Lightning	5	2	2	0	1	0	0	12	15	-3	5	0.500	12	20	32	0	0	3	5	4	0	163	50	53	57	3	155	56	44	96	18	2	11.11%	12	2	83.33%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	125	88	116	34	62	31	43.5%	7.4%	90.3%	97.7	Unlucky
11	Flyers	4	4	0	0	0	0	0	12	4	8	8	1.000	12	23	35	0	2	3	5	4	0	143	45	41	57	0	127	35	20	81	19	4	21.05%	9	0	100.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	97	68	94	28	48	24	66.7%	8.4%	96.9%	105.2	DULL
12	Sharks	1	0	0	0	1	0	0	1	2	-1	1	0.500	1	2	3	0	0	0	1	0	0	39	14	13	10	2	29	4	0	18	5	0	0.00%	0	0	0.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	27	18	23	7	13	7	33.3%	2.6%	93.1%	95.7	DULL
13	Black Hawks	1	0	1	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	1	0	1	0	41	15	17	9	0	26	9	10	22	4	1	25.00%	5	1	80.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	23	15	23	6	12	6	33.3%	4.9%	88.5%	93.3	Unlucky
14	Avalanche	1	0	1	0	0	0	0	2	3	-1	0	0.000	2	4	6	0	0	0	2	0	0	15	7	5	3	0	40	12	6	15	1	1	100.00%	3	0	100.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	21	13	25	7	13	5	25.0%	13.3%	92.5%	105.8	LUCKY
15	Ducks	1	0	1	0	0	0	0	3	7	-4	0	0.000	3	5	8	0	0	2	0	1	0	35	11	10	14	0	42	11	23	23	1	0	0.00%	4	1	75.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	23	15	23	7	13	6	33.3%	8.6%	83.3%	91.9	Unlucky
16	Oilers	1	1	0	0	0	0	0	5	4	1	2	1.000	5	10	15	0	0	2	2	1	0	43	9	15	19	0	38	8	0	21	4	2	50.00%	0	0	0.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	25	18	21	7	12	6	42.9%	11.6%	89.5%	101.1	FUN
17	Maple Leafs	6	1	3	0	1	0	1	15	21	-6	4	0.333	15	28	43	0	0	5	6	4	0	180	66	60	52	4	240	76	50	121	17	4	23.53%	22	5	77.27%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	139	94	152	42	75	36	40.7%	8.3%	91.3%	99.6	DULL
18	Canucks	1	1	0	0	0	0	0	4	1	3	2	1.000	4	6	10	0	0	2	1	1	0	30	13	8	9	0	43	12	4	22	3	1	33.33%	2	0	100.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	21	14	25	6	12	6	75.0%	13.3%	97.7%	111.0	LUCKY
19	Wild	1	1	0	0	0	0	0	3	2	1	2	1.000	3	6	9	0	0	1	2	0	0	37	13	15	9	0	25	12	10	30	2	1	50.00%	5	1	80.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	23	15	24	7	12	6	66.7%	8.1%	92.0%	100.1	DULL
20	Blues	1	0	1	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	2	1	0	0	32	7	16	9	0	39	18	10	20	4	1	25.00%	5	1	80.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	18	11	30	7	11	4	40.0%	9.4%	89.7%	99.1	FUN
21	Kings	1	0	1	0	0	0	0	0	5	-5	0	0.000	0	0	0	0	0	0	0	0	0	23	7	10	6	0	33	17	6	21	0	0	0.00%	3	1	66.67%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	22	14	25	7	12	6	0.0%	0.0%	84.8%	84.8	Unlucky
22	Golden Knights	1	0	1	0	0	0	0	3	4	-1	0	0.000	3	5	8	0	0	2	1	0	0	31	14	11	6	0	29	9	6	26	2	1	50.00%	3	1	66.67%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	22	14	24	7	13	6	40.0%	9.7%	86.2%	95.9	FUN
23	Stars	1	0	0	0	0	1	0	2	1	1	2	1.000	2	2	4	0	0	1	0	0	3	44	17	18	8	6	24	11	10	21	3	0	0.00%	5	0	100.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	27	19	24	8	12	5	66.7%	4.5%	95.8%	100.4	DULL
24	Flames	1	0	0	0	1	0	0	4	5	-1	1	0.500	4	8	12	0	0	1	1	2	0	51	22	13	13	3	36	10	6	22	5	1	20.00%	3	0	100.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	26	18	25	7	11	5	37.5%	7.8%	86.1%	94.0	Unlucky
25	Devils	5	3	2	0	0	0	0	16	17	-1	6	0.600	16	27	43	0	0	6	2	8	0	178	52	53	73	0	135	51	44	92	16	6	37.50%	17	6	64.71%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	126	89	109	35	64	31	47.6%	9.0%	87.4%	96.4	FUN
26	Panthers	5	1	3	0	0	1	0	14	17	-3	4	0.400	14	23	37	0	0	4	5	4	2	177	56	67	52	8	179	69	56	99	17	1	5.88%	21	2	90.48%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	117	80	124	34	62	30	46.4%	7.9%	90.5%	98.4	Unlucky
27	Islanders	4	2	1	0	1	0	0	10	8	2	5	0.625	10	17	27	0	1	4	3	3	0	101	38	29	33	1	121	36	22	67	10	1	10.00%	10	0	100.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	93	65	97	31	52	26	52.9%	9.9%	93.4%	103.3	LUCKY
28	Penguins	4	1	2	1	0	0	0	17	19	-2	4	0.500	17	32	49	1	0	6	9	1	1	134	39	40	53	2	140	34	40	74	17	2	11.76%	14	5	64.29%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	90	61	97	29	52	26	51.7%	12.7%	86.4%	99.1	FUN
29	Kraken	1	0	1	0	0	0	0	2	4	-2	0	0.000	2	4	6	0	0	1	0	1	0	34	10	10	14	0	26	9	14	20	4	0	0.00%	2	0	100.00%	0	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	25	17	20	6	13	7	33.3%	5.9%	84.6%	90.5	Unlucky
	_Vs Division	37	15	13	3	3	1	2	119	108	11	43	0.581	119	221	340	0	1	39	38	38	6	1242	419	407	392	35	1137	365	290	738	116	24	20.69%	110	21	80.91%	1	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	933	658	852	258	463	235	52.2%	9.6%	90.5%	100.1	FUN
	_Vs Conference	66	32	21	6	4	1	2	210	178	32	84	0.636	210	383	593	1	6	74	65	64	9	2216	736	705	745	41	2001	621	492	1283	219	41	18.72%	195	36	81.54%	1	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	1646	1157	1517	471	835	423	54.3%	9.5%	91.1%	100.6	Unlucky
	_Since Last GM Reset	84	37	29	7	7	2	2	258	236	22	101	0.601	258	471	729	1	6	94	81	74	13	2823	938	928	918	55	2590	808	633	1670	269	54	20.07%	250	44	82.40%	1	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	2073	1448	1954	604	1067	538	51.5%	9.1%	90.9%	100.0	FUN
	Total	84	37	29	7	7	2	2	258	236	22	101	0.601	258	471	729	1	6	94	81	74	13	2823	938	928	918	55	2590	808	633	1670	269	54	20.07%	250	44	82.40%	1	1577	2981	52.90%	1481	2771	53.45%	697	1302	53.53%	2073	1448	1954	604	1067	538	51.5%	9.1%	90.9%	100.0	FUN

	Puck Time
Offensive Zone	24
Neutral Zone	12
Defensive Zone	23

	Puck Time
Offensive Zone Start	2981
Neutral Zone Start	1302
Defensive Zone Start	2771

	Puck Time
With Puck	30
Without Puck	29

	Faceoffs
Faceoffs Won	3755
Faceoffs Lost	3299

	Team Average Shots after	League Average Shots after
1st Period	11.2	9.57
2nd Period	22.2	20.31
3rd Period	33.1	30.68
Overtime	33.8	31.4

Goals in	Team Average Goals after	League Average Goals after
1st Period	1.1	0.64
2nd Period	2.1	1.65
3rd Period	3.0	2.67
Overtime	3.1	2.83


Even Strenght Goal	202
PP Goal	54
PK Goal	1
Empty Net Goal	1

	Home	Away
Win	25	21
Lost	14	15
Overtime Lost	3	6


PP Attempt	269
PP Goal	54
PK Attempt	250
PK Goal Against	44

	Home
Shots For	33.6
Shots Against	30.8
Goals For	3.1
Goals Against	2.8
Hits	19.9
Shots Blocked	9.6
Pim	7.5