San Jose
Domicile
Formation
Points
Informations joueurs
Lignes
Statistiques d’équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière transactions
Blessure/Suspension
Statistiques d’équipe en carrière

Centre de jeu
	San Jose 54-22-6, 114pts	1	FINAL	5	Anaheim 46-27-9, 101pts

Team Stats
L2	Séquence	W2
27-11-3	Fiche domicile	25-11-5
27-11-3	Fiche visiteur	21-16-4
7-3-0	Derniers 10 matchs	5-4-1
3.45	Buts par match	3.67
2.80	Buts contre par match	3.00
20.21%	Pourcentage en avantage numérique	21.32%
81.79%	Pourcentage en désavantage numérique	81.36%

Anaheim
46-27-9, 101pts

FINAL

San Jose
54-22-6, 114pts

Team Stats
W2	Séquence	L2
25-11-5	Fiche domicile	27-11-3
21-16-4	Fiche visiteur	27-11-3
5-4-1	Derniers 10 matchs	7-3-0
3.67	Buts par match	3.45
3.00	Buts contre par match	2.80
21.32%	Pourcentage en avantage numérique	20.21%
81.36%	Pourcentage en désavantage numérique	81.79%

Meneurs d'équipe
	Buts Brayden Point 50	Passes Brayden Point 63

	Points Brayden Point 113	Plus/Moins Patrik Laine 45

	Victoires Jordan Binnington 36	Pourcentage d’arrêts Jordan Binnington 0.925

Statistiques d’équipe
Buts pour 283 3.45 GFG	Tirs pour 2969 36.21 Avg	Pourcentage en avantage numérique 20.2% 57 GF	Début de zone offensive 42.1%
Buts contre 230 2.80 GAA	Tirs contre 2871 35.01 Avg	Pourcentage en désavantage numérique 81.8%% 53 GA	Début de la zone défensive 41.2%

Informations de l'équipe
	Directeur général	Vincent Fournier
	Entraîneur	Jeff Blashill
	Division	Pacifique
	Conférence	Conference Ouest
	Capitaine	Brayden Point
	Assistant #1	Zach Werenski
	Assistant #2	Blake Wheeler
Informations de l’aréna
	Nom	SAP Center
	Capacité	22,000
	Assistance	20,245
	Billets de saison	8,800
Informations de la formation
	Équipe Pro	21
	Équipe Mineure	19
	Limite contact	40 / 50
	Espoirs	42
Plafond salarial
	Cap Salarial de la Saison estimé	62,795,300$
	Plafond salarial disponible	2,204,700$
	Valeur du plafond salarial spécial	550,000$
	Joueurs Inclus dans le plafond salarial	21
Finance
	Revenu annuel à ce jour	71,109,426$
	Dépenses annuelles à ce jour	65,261,232$
	Revenus de la saison estimés	0$
	Dépenses de la saison estimées	0$
	Compte bancaire actuel	35,854,494$
	Compte bancaire projeté	35,834,070$
Historique d'équipe
	Saison actuelle	54-22-6 (114PTS)
	Historique	146-82-32 (0.562%)
	Apparitions en séries éliminatoires	1
	Historique en séries éliminatoires (W-L)	16-9
	Coupe Stanley	0

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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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Saku Maenalanen (R)			X		100.00	85	30	94	77	89	73	86	68	70	66	69	76	75	60	60	48	50	0	0	28	1	500,000$
2	Blake Wheeler (A)	X		X		100.00	76	30	86	73	92	84	89	74	88	77	72	72	89	88	87	23	50	0	0	35	1	2,750,000$
3	Cedric Paquette	X	X			100.00	75	39	94	77	80	76	83	70	79	67	72	68	84	54	51	49	50	0	0	28	1	1,000,000$
4	Cam Atkinson			X		100.00	84	31	86	82	65	84	95	81	73	77	80	71	83	73	59	33	50	0	0	33	1	6,200,000$
5	Peter Holland	X	X	X		100.00	69	23	98	73	84	83	89	69	79	65	72	73	84	67	59	51	50	0	0	31	1	600,000$
6	Mark Scheifele	X				100.00	89	62	71	83	92	93	99	82	70	81	78	70	82	61	55	62	50	0	0	29	3	5,800,000$
7	Nico Sturm	X	X			100.00	76	38	83	76	89	76	89	74	91	69	76	71	78	54	52	61	50	0	0	27	2	2,200,000$
8	Patrik Laine		X	X		100.00	86	43	87	99	99	99	98	84	81	80	82	60	90	41	39	75	50	0	0	24	1	6,000,000$
9	Nikolay Goldobin		X	X		100.00	68	31	99	92	83	88	91	82	57	76	81	61	87	52	52	60	50	0	0	26	2	3,350,000$
10	Warren Foegele		X	X		100.00	80	33	93	87	89	85	94	79	78	79	79	72	87	49	48	60	50	0	0	26	2	3,600,000$
11	Parker Kelly (R)	X	X			100.00	81	40	80	83	84	76	96	71	69	70	73	73	78	40	41	62	50	0	0	23	2	500,000$
12	David Perron		X	X		100.00	84	30	85	75	83	84	99	73	70	73	74	66	88	81	81	26	50	0	0	34	1	1,200,000$
13	Zach Werenski (A)				X	100.00	63	39	93	99	98	99	98	78	59	75	69	93	81	43	32	75	50	0	0	24	3	6,100,000$
14	Rasmus Andersson				X	100.00	75	35	83	84	89	94	98	63	52	64	54	91	77	49	48	78	50	0	0	25	4	2,700,000$
15	Kris Letang				X	100.00	88	32	72	74	75	96	88	65	30	67	62	93	79	89	82	32	50	0	0	35	2	4,250,000$
16	Jake Walman (R)				X	100.00	78	30	79	78	88	88	85	55	50	49	57	95	75	53	53	68	50	0	0	26	1	500,000$
17	Moritz Seider				X	100.00	91	32	84	92	94	98	99	72	52	74	59	93	78	35	35	91	50	0	0	21	2	900,000$
18	Nick Jensen				X	100.00	84	25	92	70	85	87	93	51	70	58	47	90	75	71	71	39	50	0	0	31	3	1,100,000$
Rayé
1	Brayden Point (C)	X		X		100.00	71	35	99	99	76	99	89	90	91	84	90	81	91	51	49	73	50	0	0	26	2	6,500,000$
Équipe Mineure
1	Beau Bennett		X	X		100.00	63	31	96	75	75	77	76	74	72	72	72	64	78	59	58	43	50	0	0	30	1	900,000$
2	Dominik Simon	X	X	X		100.00	72	27	97	77	79	81	85	72	70	70	72	63	80	54	51	57	50	0	0	27	1	1,600,000$
3	Nick Spaling	X	X			100.00	60	36	92	63	72	77	89	74	82	73	77	71	76	69	56	24	50	0	0	33	1	1,500,000$
4	Justin Fontaine			X		100.00	51	28	91	64	72	70	82	66	68	63	66	65	72	68	63	24	50	0	0	34	1	800,000$
5	Joe Colborne	X	X	X		99.00	71	36	80	68	86	80	87	68	99	70	68	60	82	63	64	46	50	0	0	32	2	1,050,000$
6	Drew Shore	X				100.00	72	30	89	67	85	76	91	68	93	67	67	63	77	61	56	45	50	0	0	31	2	700,000$
7	Jesper Bratt		X	X		100.00	70	31	99	99	78	87	86	77	76	73	78	60	87	40	33	73	50	0	0	23	1	1,300,000$
8	Nathan Bastian (R)			X		99.00	89	53	73	79	92	80	90	73	73	72	75	63	73	43	44	67	50	0	0	24	1	900,000$
9	Noah Gregor (R)		X	X		97.00	82	32	85	88	84	84	90	77	73	76	74	71	78	40	42	66	50	0	0	23	2	500,000$
10	Michael Pezzetta (R)		X	X		100.00	86	59	68	82	86	69	84	71	72	70	72	60	76	46	42	59	50	0	0	24	1	500,000$
11	Michael Eyssimont	X	X	X		100.00	85	45	80	76	80	75	99	64	70	66	68	71	75	50	50	58	50	0	0	25	1	1,650,000$
12	Jason Demers				X	100.00	64	40	83	62	79	78	84	55	50	54	47	91	74	75	66	30	50	0	0	34	2	1,350,000$
13	Justin Braun				X	100.00	62	38	82	58	73	67	88	49	1	45	47	82	48	73	59	28	50	0	0	34	1	500,000$
14	Jack Johnson				X	100.00	64	30	89	60	76	89	90	54	25	52	49	88	71	91	86	30	50	0	0	35	2	950,000$
15	Alexey Marchenko				X	99.00	64	37	86	78	89	85	86	56	50	52	50	93	70	56	53	49	50	0	0	30	2	950,000$
16	Trevor Daley				X	98.00	59	31	87	53	69	73	87	56	50	56	54	88	68	76	89	13	50	0	0	38	1	1,250,000$
17	Calle Rosen				X	99.00	76	25	98	76	82	79	99	49	70	48	54	90	75	60	60	55	50	0	0	28	1	1,800,000$

	MOYENNE D’ÉQUIPE					100.00	79	35	87	83	86	87	93	73	69	71	71	77	82	58	55	56	50	0

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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 gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire moyen
1	Jordan Binnington	100.00	73	82	87	73	77	91	90	91	91	85	86	62	61	69	50	0	0	28	1	3,000,000$
2	Elvis Merzlikins	100.00	74	83	82	76	76	87	86	85	88	80	75	57	57	64	50	0	0	28	1	1,250,000$
Rayé
Équipe Mineure
1	Craig Anderson	100.00	70	81	81	75	73	87	87	87	89	71	73	99	99	15	50	0	0	42	1	750,000$
2	Jakob Markstrom	97.00	65	87	77	82	75	88	86	87	86	76	83	76	75	46	50	0	0	32	1	975,000$

	MOYENNE D’ÉQUIPE	100.00	74	83	85	75	77	89	88	88	90	83	81	60	59	67	50	0

Nom de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Jeff Blashill	80	82	82	83	83	79	86	USA	48	2	2,000,000$

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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	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Brayden Point	San Jose	C/RW	76	50	63	113	44	14	0	21	195	388	134	269	12.89%	23	1600	21.06	8	12	20	68	236	0	0	2	53	10	2	52.49%	2191	1	3	1.41	1	7	0	0	0	15	7	4
2	Patrik Laine	San Jose	LW/RW	82	37	43	80	45	67	15	142	75	286	91	216	12.94%	6	1674	20.42	4	11	15	49	258	0	0	2	0	8	1	49.65%	143	0	2	0.96	3	7	0	0	3	8	9	5
3	Zach Werenski	San Jose	D	82	21	57	78	15	11	5	16	105	218	84	170	9.63%	130	1977	24.12	12	14	26	110	268	1	1	3	222	1	3	0%	0	1	0	0.79	0	0	0	0	1	5	3	6
4	Warren Foegele	San Jose	LW/RW	82	22	40	62	33	20	0	66	65	257	73	187	8.56%	6	1545	18.85	3	9	12	63	250	0	0	1	11	3	3	47.01%	134	0	0	0.80	0	0	0	0	0	4	3	3
5	Mark Scheifele	San Jose	C	82	18	39	57	10	96	10	183	124	230	76	160	7.83%	9	1442	17.59	7	9	16	51	219	0	0	0	0	1	2	46.23%	1895	0	0	0.79	0	0	0	0	2	1	2	3
6	Kris Letang	San Jose	D	82	11	44	55	15	108	0	183	75	137	59	86	8.03%	120	1786	21.78	3	10	13	63	209	0	0	1	213	1	1	0%	0	0	0	0.62	0	0	0	0	0	2	1	7
7	Nikolay Goldobin	San Jose	LW/RW	82	20	34	54	3	4	0	13	72	244	63	173	8.20%	3	1407	17.16	6	13	19	45	219	0	0	0	0	5	2	39.04%	146	0	0	0.77	1	1	0	0	0	1	0	4
8	Cam Atkinson	San Jose	RW	79	28	24	52	23	24	0	91	54	215	38	124	13.02%	14	1383	17.52	3	9	12	47	203	0	0	0	0	5	4	44.86%	107	0	0	0.75	0	0	0	0	0	3	4	3
9	Moritz Seider	San Jose	D	76	11	40	51	12	82	0	190	81	139	38	82	7.91%	136	1757	23.13	5	11	16	76	247	0	0	0	172	0	2	0%	0	1	0	0.58	0	0	0	0	0	2	3	4
10	Rasmus Andersson	San Jose	D	79	10	30	40	23	26	0	54	63	110	41	82	9.09%	129	1665	21.08	5	5	10	39	167	0	0	0	199	3	1	0%	0	0	0	0.48	0	0	0	0	0	2	1	3
11	Nico Sturm	San Jose	C/LW	82	15	11	26	-6	20	10	39	140	139	36	88	10.79%	19	1201	14.65	0	0	0	2	20	1	1	6	300	6	1	51.67%	1769	0	0	0.43	0	0	0	1	1	1	2	0
12	Nick Jensen	San Jose	D	82	2	23	25	14	48	0	87	36	53	9	25	3.77%	96	1220	14.88	0	0	0	1	0	0	0	1	41	0	0	0%	0	0	0	0.41	0	0	0	0	0	1	1	0
13	Blake Wheeler	San Jose	C/RW	67	7	8	15	-6	12	0	30	47	114	38	72	6.14%	9	805	12.02	0	0	0	0	6	0	0	2	113	2	0	52.75%	309	0	0	0.37	0	1	0	0	0	0	3	1
14	Parker Kelly	San Jose	C/LW	82	4	9	13	0	61	15	62	32	108	29	106	3.70%	15	981	11.97	0	0	0	0	0	0	0	8	286	0	0	45.45%	99	0	0	0.26	0	0	1	0	2	0	1	0
15	David Perron	San Jose	LW/RW	82	6	5	11	-4	22	0	68	30	83	25	55	7.23%	3	789	9.62	0	0	0	0	0	0	0	0	6	2	0	55.00%	60	0	0	0.28	1	7	0	0	0	0	1	2
16	Peter Holland	San Jose	C/LW/RW	82	5	4	9	-1	6	0	14	32	63	11	65	7.94%	10	688	8.39	0	0	0	0	0	0	0	1	145	0	0	47.06%	85	0	0	0.26	0	0	0	0	0	0	0	0
17	Cedric Paquette	San Jose	C/LW	82	4	4	8	-2	9	5	28	58	69	17	40	5.80%	2	603	7.36	0	0	0	1	3	0	0	0	53	2	0	50.29%	690	0	0	0.27	0	0	0	0	1	0	0	0
18	Jake Walman	San Jose	D	22	1	4	5	-4	10	0	15	14	22	8	21	4.55%	43	409	18.61	1	0	1	9	39	0	0	1	66	0	0	0%	0	0	0	0.24	0	0	0	0	0	0	1	1
19	Alexey Marchenko	San Jose (S J)	D	10	0	2	2	3	2	0	11	5	6	2	4	0%	12	144	14.42	0	0	0	0	0	0	0	0	1	0	0	0%	0	0	0	0.28	0	0	0	0	0	0	0	0
20	Saku Maenalanen	San Jose	RW	5	0	1	1	0	0	0	4	3	2	0	3	0%	0	32	6.54	0	0	0	0	0	0	0	0	0	0	0	50.00%	2	0	0	0.61	0	0	0	0	0	0	0	0
21	Jesper Bratt	San Jose (S J)	LW/RW	3	0	0	0	-3	0	0	4	2	11	2	6	0%	0	49	16.58	0	0	0	4	9	0	0	0	0	0	0	42.86%	7	0	0	0	0	0	0	0	0	0	0	0
22	Noah Gregor	San Jose (S J)	LW/RW	2	0	0	0	-1	0	0	1	1	5	0	2	0%	0	11	5.98	0	0	0	0	0	0	0	0	0	0	0	0%	1	0	0	0	0	0	0	0	0	0	0	0
Statistiques d’équipe totales ou en moyenne				1403	272	485	757	213	642	60	1322	1309	2899	874	2036	9.38%	785	23178	16.52	57	103	160	628	2361	2	2	28	1890	49	22	49.90%	7638	3	5	0.65	6	23	1	1	10	45	42	46

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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 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	Jordan Binnington	San Jose	55	36	13	5	0.925	2.60	3280	4	2	142	1896	2	1	0.789	19	54	28	9	4	2
2	Elvis Merzlikins	San Jose	29	18	9	1	0.914	2.98	1692	8	1	84	974	3	0	0.667	3	28	54	1	2	1
Statistiques d’équipe totales ou en moyenne			84	54	22	6	0.921	2.73	4972	12	3	226	2870	5	1		22	82	82	10	6	3

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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	Âge	Date de naissance	Recrue	Poids	Taille	Non-échange	Disponible pour échange	Ballotage forcé	Waiver Possible	Contrat	Type	Salaire actuel	Plafond salarial	Plafond salarial restant	Exclus du plafond salarial	Salaire annuel 2	Salaire annuel 3	Salaire annuel 4	Lien
Blake Wheeler (contrat à 1 volet)	San Jose	C/RW	35	1986-08-31	No	220 Lbs	6 ft5	No	No	Yes	Yes	1	Pro & Farm	2,750,000$	2,750,000$	0$	No				Lien
Brayden Point (contrat à 1 volet)	San Jose	C/RW	26	1996-03-13	No	176 Lbs	5 ft10	No	No	Yes	Yes	2	Pro & Farm	6,500,000$	6,500,000$	0$	No	6,500,000$			Lien
Cam Atkinson (contrat à 1 volet)	San Jose	RW	33	1989-06-05	No	178 Lbs	5 ft8	No	No	Yes	Yes	1	Pro & Farm	6,200,000$	6,200,000$	0$	No				Lien
Cedric Paquette (contrat à 1 volet)	San Jose	C/LW	28	1993-08-13	No	203 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	1,000,000$	1,000,000$	0$	No				Lien
David Perron (contrat à 1 volet)	San Jose	LW/RW	34	1988-05-28 16:08:49	No	196 Lbs	6 ft1	No	No	No	Yes	1	Pro & Farm	1,200,000$	1,200,000$	0$	No
Elvis Merzlikins (contrat à 1 volet)	San Jose	G	28	1994-04-13 11:09:47	No	183 Lbs	6 ft3	No	No	Yes	Yes	1	Pro & Farm	1,250,000$	1,250,000$	0$	No				Lien
Jake Walman	San Jose	D	26	1996-02-20 04:16:40	Yes	215 Lbs	6 ft2	No	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	No				Lien
Jordan Binnington (contrat à 1 volet)	San Jose	G	28	1993-07-11 08:39:49	No	176 Lbs	6 ft1	No	No	Yes	Yes	1	Pro & Farm	3,000,000$	3,000,000$	0$	No				Lien
Kris Letang (contrat à 1 volet)	San Jose	D	35	1987-04-24	No	209 Lbs	6 ft0	No	No	Yes	Yes	2	Pro & Farm	4,250,000$	4,250,000$	0$	No	4,250,000$			Lien
Mark Scheifele (contrat à 1 volet)	San Jose	C	29	1993-03-15	No	213 Lbs	6 ft3	No	No	Yes	Yes	3	Pro & Farm	5,800,000$	5,800,000$	0$	No	5,800,000$	5,800,000$		Lien
Moritz Seider	San Jose	D	21	2001-04-06 04:33:34	No	197 Lbs	6 ft4	No	No	No	No	2	Pro & Farm	900,000$	900,000$	0$	No	900,000$			Lien
Nick Jensen (contrat à 1 volet)	San Jose	D	31	1990-09-21 05:51:59	No	205 Lbs	6 ft1	No	No	Yes	Yes	3	Pro & Farm	1,100,000$	1,100,000$	0$	No	1,100,000$	1,100,000$
Nico Sturm (contrat à 1 volet)	San Jose	C/LW	27	1995-05-03	No	208 Lbs	6 ft3	No	No	Yes	Yes	2	Pro & Farm	2,200,000$	2,200,000$	0$	No	2,200,000$			Lien
Nikolay Goldobin (contrat à 1 volet)	San Jose	LW/RW	26	1995-10-07	No	202 Lbs	5 ft11	No	No	Yes	Yes	2	Pro & Farm	3,350,000$	3,350,000$	0$	No	3,350,000$			Lien
Parker Kelly	San Jose	C/LW	23	1999-05-14 07:56:22	Yes	190 Lbs	6 ft0	No	No	No	No	2	Pro & Farm	500,000$	500,000$	0$	No	500,000$			Lien
Patrik Laine (contrat à 1 volet)	San Jose	LW/RW	24	1998-04-19	No	213 Lbs	6 ft6	No	No	Yes	Yes	1	Pro & Farm	6,000,000$	6,000,000$	0$	No				Lien
Peter Holland (contrat à 1 volet)	San Jose	C/LW/RW	31	1991-01-24	No	203 Lbs	6 ft2	No	No	Yes	Yes	1	Pro & Farm	600,000$	600,000$	0$	No				Lien
Rasmus Andersson	San Jose	D	25	1996-10-27	No	218 Lbs	6 ft1	No	No	No	No	4	Pro & Farm	2,700,000$	2,700,000$	0$	No	2,700,000$	2,700,000$	2,700,000$	Lien
Saku Maenalanen	San Jose	RW	28	1994-05-29 23:04:39	Yes	214 Lbs	6 ft4	No	No	No	No	1	Pro & Farm	500,000$	500,000$	0$	No
Warren Foegele (contrat à 1 volet)	San Jose	LW/RW	26	1996-04-01	No	201 Lbs	6 ft2	No	No	Yes	Yes	2	Pro & Farm	3,600,000$	3,600,000$	0$	No	3,600,000$			Lien
Zach Werenski (contrat à 1 volet)	San Jose	D	24	1997-07-19	No	225 Lbs	6 ft4	No	No	Yes	Yes	3	Pro & Farm	6,100,000$	6,100,000$	0$	No	6,100,000$	6,100,000$		Lien

Nombre de joueurs	Âge moyen	Poids moyen	Taille moyenne	Contrat moyen	Salaire moyen 1e année
21	28.00	202 Lbs	6 ft2	1.76	2,857,143$

Somme salaire 1e année	Somme salaire 2e année	Somme salaire 3e année	Somme salaire 4e année	Somme salaire 5e année
60,000,000$	37,000,000$	15,700,000$	2,700,000$	0$

Attaque à 5 contre 5
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Patrik Laine	Mark Scheifele	Warren Foegele	32	0	0	5
2	Nikolay Goldobin	Nico Sturm	Cam Atkinson	30	0	3	2
3	Parker Kelly	Blake Wheeler	David Perron	22	0	3	2
4	Peter Holland	Cedric Paquette	Saku Maenalanen	16	0	4	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Moritz Seider	36	0	1	4
2	Rasmus Andersson	Kris Letang	36	0	3	2
3	Nick Jensen	Jake Walman	28	0	3	2
4	Jake Walman	Moritz Seider	0	0	0	5

Attaque en avantage numérique
Ligne #	Ailier gauche	Centre	Ailier droit	% temps	PHY	DF	OF
1	Patrik Laine	Mark Scheifele	Warren Foegele	60	0	0	5
2	Nikolay Goldobin	Nico Sturm	Cam Atkinson	40	0	0	5

Défense en avantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Zach Werenski	Moritz Seider	60	0	0	5
2	Kris Letang	Jake Walman	40	0	1	4

Attaque à 4 en désavantage numérique
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Nico Sturm	Parker Kelly	60	1	4	0
2	Blake Wheeler	Peter Holland	40	1	4	0

Défense à 4 en désavantage numérique
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Jake Walman	Kris Letang	60	1	4	0
2	Moritz Seider	Zach Werenski	40	1	4	0

3 joueurs en désavantage numérique
Ligne #	Ailier	% temps	PHY	DF	OF	Défense	Défense	% temps	PHY	DF	OF
1	Nico Sturm	60	0	5	0	Kris Letang	Moritz Seider	60	0	5	0
2	Blake Wheeler	40	0	5	0	Jake Walman	Zach Werenski	40	0	5	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% temps	PHY	DF	OF
1	Mark Scheifele	Patrik Laine	60	0	2	3
2	Blake Wheeler	Warren Foegele	40	0	2	3

Défense à 4 contre 4
Ligne #	Défense	Défense	% temps	PHY	DF	OF
1	Moritz Seider	Zach Werenski	60	0	2	3
2	Kris Letang	Jake Walman	40	0	2	3

Attaque dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Patrik Laine	Mark Scheifele	Warren Foegele	Zach Werenski	Moritz Seider

Défense dernière minute
Ailier gauche	Centre	Ailier droit	Défense	Défense
Warren Foegele	Mark Scheifele	Blake Wheeler	Zach Werenski	Kris Letang

Attaquants supplémentaires
Normal	Avantage numérique	Désavantage numérique
Mark Scheifele, Nikolay Goldobin, Patrik Laine	Nico Sturm, Mark Scheifele	David Perron

Défenseurs supplémentaires
Normal	Avantage numérique	Désavantage numérique
Zach Werenski, Kris Letang, Jake Walman	Nick Jensen	Moritz Seider, Nick Jensen

Tirs de pénalité
Nico Sturm, Patrik Laine, David Perron, Blake Wheeler, Warren Foegele

Gardien
#1 : Jordan Binnington, #2 : Elvis Merzlikins

Lignes d’attaque personnalisées en prolongation
Mark Scheifele, Patrik Laine, Warren Foegele, Nikolay Goldobin, Nico Sturm, Cam Atkinson, Cam Atkinson, Parker Kelly, Blake Wheeler, David Perron, Cedric Paquette

Lignes de défense personnalisées en prolongation
Zach Werenski, Moritz Seider, Kris Letang, Jake Walman, Nick Jensen

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

	Total												Domicile											Visiteur
#	VS Équipe	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	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
1	Anaheim	6	2	4	0	0	0	0	0	18	25	-7	3	1	2	0	0	0	0	0	10	12	-2	3	1	2	0	0	0	0	0	8	13	-5	4	0.333	18	30	48	0	0	6	7	5	0	217	71	78	68	0	248	59	74	110	17	1	5.88%	25	7	72.00%	1	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	136	95	149	43	73	35
2	Boston	2	2	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	1	0	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	5	10	15	0	1	2	2	1	0	55	12	24	19	0	62	12	24	36	4	1	25.00%	12	0	100.00%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	46	31	48	14	25	12
3	Buffalo	2	1	0	0	0	0	1	0	6	4	2	1	1	0	0	0	0	0	0	3	2	1	1	0	0	0	0	0	1	0	3	2	1	4	1.000	6	8	14	0	0	1	1	3	1	87	18	35	28	9	61	19	18	32	6	0	0.00%	8	1	87.50%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	49	34	49	15	26	11
4	Chicago	4	2	2	0	0	0	0	0	14	12	2	2	2	0	0	0	0	0	0	10	5	5	2	0	2	0	0	0	0	0	4	7	-3	4	0.500	14	24	38	0	0	5	2	7	0	161	50	45	66	0	140	39	29	61	15	3	20.00%	12	5	58.33%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	94	66	95	28	50	25
5	Colorado	6	2	2	0	2	0	0	0	16	16	0	3	2	1	0	0	0	0	0	7	6	1	3	0	1	0	2	0	0	0	9	10	-1	8	0.667	16	30	46	0	0	3	2	9	2	219	59	71	84	5	232	63	58	102	25	5	20.00%	23	3	86.96%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	149	102	139	45	76	40
6	Columbus	2	1	0	0	0	0	1	0	9	3	6	1	1	0	0	0	0	0	0	6	1	5	1	0	0	0	0	0	1	0	3	2	1	4	1.000	9	13	22	0	0	4	0	4	1	75	21	21	28	8	59	19	8	32	9	2	22.22%	4	0	100.00%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	50	34	46	16	27	14
7	Dallas	4	1	3	0	0	0	0	0	11	15	-4	2	0	2	0	0	0	0	0	4	8	-4	2	1	1	0	0	0	0	0	7	7	0	2	0.250	11	21	32	0	0	1	5	5	0	135	29	51	55	0	153	56	46	71	18	2	11.11%	16	5	68.75%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	93	65	98	29	47	22
8	Detroit	2	1	1	0	0	0	0	0	3	3	0	1	0	1	0	0	0	0	0	0	2	-2	1	1	0	0	0	0	0	0	3	1	2	2	0.500	3	5	8	1	0	1	1	1	0	57	15	16	26	0	51	17	15	23	8	0	0.00%	6	1	83.33%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	50	35	43	15	25	13
9	Edmonton	6	4	0	0	0	1	0	1	26	19	7	3	1	0	0	0	1	0	1	13	12	1	3	3	0	0	0	0	0	0	13	7	6	10	0.833	26	45	71	0	0	5	10	11	0	228	61	71	93	6	226	51	53	101	17	7	41.18%	22	5	77.27%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	146	103	142	40	76	39
10	Floride	2	0	1	0	0	1	0	0	5	11	-6	1	0	1	0	0	0	0	0	0	5	-5	1	0	0	0	0	1	0	0	5	6	-1	1	0.250	5	9	14	0	0	0	1	4	0	56	22	13	20	1	83	27	14	37	3	2	66.67%	6	4	33.33%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	46	32	49	14	26	12
11	LosAngeles	6	6	0	0	0	0	0	0	23	10	13	3	3	0	0	0	0	0	0	12	7	5	3	3	0	0	0	0	0	0	11	3	8	12	1.000	23	43	66	0	0	5	8	10	0	227	83	66	78	0	163	45	42	81	23	4	17.39%	20	1	95.00%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	147	102	133	45	78	40
12	Minnesota	4	2	1	0	0	0	1	0	14	11	3	2	0	1	0	0	0	1	0	4	6	-2	2	2	0	0	0	0	0	0	10	5	5	6	0.750	14	24	38	0	0	7	5	1	1	137	43	44	48	5	132	48	42	71	10	3	30.00%	18	4	77.78%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	98	68	95	28	51	25
13	Montreal	2	1	1	0	0	0	0	0	7	8	-1	1	1	0	0	0	0	0	0	3	2	1	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	7	13	20	0	0	2	1	4	0	58	17	15	26	0	74	27	12	22	8	3	37.50%	5	1	80.00%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	45	31	48	15	25	12
14	NYIslanders	2	2	0	0	0	0	0	0	7	4	3	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	3	2	1	4	1.000	7	13	20	0	0	5	0	2	0	80	26	27	27	0	59	16	18	28	9	1	11.11%	9	2	77.78%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	49	33	44	15	26	13
15	NYRangers	3	2	0	0	1	0	0	0	12	6	6	1	0	0	0	1	0	0	0	4	3	1	2	2	0	0	0	0	0	0	8	3	5	6	1.000	12	21	33	0	0	6	1	4	1	94	36	20	37	1	100	37	22	59	6	0	0.00%	11	2	81.82%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	70	48	70	21	38	19
16	Philadelphie	2	1	0	0	0	0	0	1	5	5	0	1	0	0	0	0	0	0	1	1	2	-1	1	1	0	0	0	0	0	0	4	3	1	3	0.750	5	9	14	0	0	3	2	0	1	68	22	21	21	7	76	20	14	39	6	1	16.67%	7	0	100.00%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	48	34	51	15	25	12
17	Pittsburgh	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	7	14	21	0	0	3	2	2	0	103	27	39	37	0	44	12	9	35	12	3	25.00%	2	0	100.00%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	55	41	41	12	23	12
18	Seattle	6	3	1	0	2	0	0	0	28	15	13	3	1	1	0	1	0	0	0	6	5	1	3	2	0	0	1	0	0	0	22	10	12	10	0.833	28	53	81	0	1	11	9	6	2	189	65	59	59	6	249	65	42	117	18	4	22.22%	20	1	95.00%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	141	98	148	42	76	37
19	St. Louis	4	0	1	0	1	1	1	0	14	15	-1	2	0	0	0	1	0	1	0	8	6	2	2	0	1	0	0	1	0	0	6	9	-3	5	0.625	14	25	39	0	0	6	4	2	3	132	44	42	38	13	148	61	50	69	18	5	27.78%	18	2	88.89%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	99	68	92	29	55	29
20	Tampa Bay	3	2	0	0	1	0	0	0	13	10	3	2	2	0	0	0	0	0	0	11	9	2	1	0	0	0	1	0	0	0	2	1	1	6	1.000	13	21	34	0	0	2	5	5	1	125	46	37	40	2	95	22	12	57	10	2	20.00%	6	2	66.67%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	79	58	64	19	35	18
21	Vancouver	6	2	4	0	0	0	0	0	21	20	1	3	2	1	0	0	0	0	0	12	6	6	3	0	3	0	0	0	0	0	9	14	-5	4	0.333	21	39	60	0	0	7	8	6	0	242	80	81	81	0	203	57	40	100	21	5	23.81%	19	4	78.95%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	144	99	140	45	75	37
22	Washington	2	0	1	0	1	0	0	0	6	7	-1	1	0	1	0	0	0	0	0	2	4	-2	1	0	0	0	1	0	0	0	4	3	1	2	0.500	6	9	15	0	0	2	2	1	1	70	15	30	20	5	78	29	33	43	4	0	0.00%	8	1	87.50%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	44	30	52	16	26	11
23	Winnipeg	4	3	0	0	0	0	0	1	13	8	5	2	2	0	0	0	0	0	0	8	3	5	2	1	0	0	0	0	0	1	5	5	0	7	0.875	13	22	35	0	1	4	4	5	0	154	52	46	55	4	135	41	34	80	15	3	20.00%	14	2	85.71%	0	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	102	72	92	29	50	25
	Total	82	42	22	0	8	3	4	3	283	230	53	41	22	11	0	3	1	2	2	132	109	23	41	20	11	0	5	2	2	1	151	121	30	114	0.695	283	501	784	1	3	91	82	98	14	2969	914	952	1054	72	2871	842	709	1406	282	57	20.21%	291	53	81.79%	1	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	1991	1388	1938	601	1046	524
	_Since Last GM Reset	82	42	22	0	8	3	4	3	283	230	53	41	22	11	0	3	1	2	2	132	109	23	41	20	11	0	5	2	2	1	151	121	30	114	0.695	283	501	784	1	3	91	82	98	14	2969	914	952	1054	72	2871	842	709	1406	282	57	20.21%	291	53	81.79%	1	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	1991	1388	1938	601	1046	524
	_Vs Conference	56	27	18	0	5	2	2	2	198	166	32	28	14	8	0	2	1	2	1	94	76	18	28	13	10	0	3	1	0	1	104	90	14	72	0.643	198	356	554	0	2	60	64	67	8	2041	637	654	725	39	2029	585	510	963	197	42	21.32%	207	39	81.16%	1	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	1354	940	1327	409	712	357
	_Vs Division	30	17	9	0	2	1	0	1	116	89	27	15	8	4	0	1	1	0	1	53	42	11	15	9	5	0	1	0	0	0	63	47	16	40	0.667	116	210	326	0	1	34	42	38	2	1103	360	355	379	12	1089	277	251	509	96	21	21.88%	106	18	83.02%	1	1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%	717	498	714	217	380	189

			Total pour les joueurs
Matchs joués	Points	Séquence	Buts	Passes	Points	Tirs pour	Tirs contre	Tirs bloqués	Minutes de pénalités	Mises en échec	Buts en filet désert	Blanchissages
82	114	L2	283	501	784	2969	2871	842	709	1406	1	3

Tous les matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	42	22	8	3	4	3	283	230

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	22	11	3	1	2	2	132	109

Matchs extérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	20	11	5	2	2	1	151	121

Derniers 10 matchs
W	L	OTW	OTL	SOW	SOL
7	3	0	0	0	0

Tentatives en avantage numérique	Buts en avantage numérique	% en avantage numérique	Tentatives en désavantage numérique	Buts contre en désavantage numérique	% en désavantage numérique	Buts pour en désavantage numérique
282	57	20.21%	291	53	81.79%	1

Tirs en 1e période	Tirs en 2e période	Tirs en 3e période	Tirs en 4e période	Buts en 1e période	Buts en 2e période	Buts en 3e période	Buts en 4e période
914	952	1054	72	91	82	98	14

Mises en jeu
Gagnées en zone offensive	Total en zone offensive	% gagnées en zone offensive	Gagnées en zone défensive	Total en zone défensive	% gagnées en zone défensive	Gagnées en zone neutre	Total en zone neutre	% gagnées en zone neutre
1591	3184	49.97%	1585	3118	50.83%	639	1257	50.84%

Temps avec la rondelle
En zone offensive	Contrôle en zone offensive	En zone défensive	Contrôle en zone défensive	En zone neutre	Contrôle en zone neutre
1991	1388	1938	601	1046	524

Derniers matchs joués 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

Jour	Match	Équipe visiteuse	Score	Équipe locale	Score	ST	OT	SO	Lien
2	8	San Jose	4	Edmonton	2	AW			Sommaire du match
3	19	Seattle	0	San Jose	1	BW	X		Sommaire du match
5	36	LosAngeles	3	San Jose	4	BW			Sommaire du match
7	48	San Jose	5	Minnesota	3	AW			Sommaire du match
9	57	San Jose	4	LosAngeles	1	AW			Sommaire du match
11	71	Edmonton	4	San Jose	3	BL	X		Sommaire du match
13	82	San Jose	4	Edmonton	1	AW			Sommaire du match
15	93	Edmonton	2	San Jose	5	BW			Sommaire du match
17	106	Dallas	4	San Jose	1	BL			Sommaire du match
19	119	San Jose	4	Washington	3	AW	X		Sommaire du match
21	130	LosAngeles	2	San Jose	3	BW			Sommaire du match
24	146	San Jose	1	Colorado	4	AL			Sommaire du match
26	157	Vancouver	3	San Jose	2	BL			Sommaire du match
27	165	San Jose	3	LosAngeles	1	AW			Sommaire du match
29	175	St. Louis	3	San Jose	4	BW	X		Sommaire du match
31	192	San Jose	4	LosAngeles	1	AW			Sommaire du match
34	204	Winnipeg	0	San Jose	3	BW			Sommaire du match
35	213	Minnesota	4	San Jose	1	BL			Sommaire du match
37	227	San Jose	2	Dallas	3	AL			Sommaire du match
40	238	San Jose	2	Chicago	3	AL			Sommaire du match
42	246	San Jose	4	St. Louis	6	AL			Sommaire du match
43	257	Seattle	2	San Jose	4	BW			Sommaire du match
45	270	Colorado	2	San Jose	3	BW			Sommaire du match
48	286	San Jose	4	Philadelphie	3	AW			Sommaire du match
49	294	St. Louis	3	San Jose	4	BW	X	X	Sommaire du match
51	304	San Jose	3	Winnipeg	2	AW			Sommaire du match
53	319	San Jose	5	Colorado	4	AW	X		Sommaire du match
54	328	Dallas	4	San Jose	3	BL			Sommaire du match
57	346	Chicago	2	San Jose	6	BW			Sommaire du match
59	359	San Jose	4	Boston	1	AW			Sommaire du match
61	368	Colorado	3	San Jose	1	BL			Sommaire du match
63	381	San Jose	2	Chicago	4	AL			Sommaire du match
65	394	Vancouver	2	San Jose	5	BW			Sommaire du match
67	407	San Jose	7	Seattle	6	AW	X		Sommaire du match
69	419	Tampa Bay	4	San Jose	5	BW			Sommaire du match
71	431	San Jose	4	Anaheim	7	AL			Sommaire du match
72	441	Chicago	3	San Jose	4	BW			Sommaire du match
74	453	San Jose	4	NYRangers	1	AW			Sommaire du match
76	465	San Jose	4	Montreal	6	AL			Sommaire du match
78	475	Anaheim	5	San Jose	1	BL			Sommaire du match
79	485	San Jose	2	Winnipeg	3	AL	X	X	Sommaire du match
81	499	Boston	0	San Jose	1	BW			Sommaire du match
83	511	San Jose	3	Detroit	1	AW			Sommaire du match
85	521	Colorado	1	San Jose	3	BW			Sommaire du match
87	533	San Jose	3	Vancouver	5	AL			Sommaire du match
89	544	Philadelphie	2	San Jose	1	BL	X	X	Sommaire du match
91	555	San Jose	5	Edmonton	4	AW			Sommaire du match
92	567	Buffalo	2	San Jose	3	BW			Sommaire du match
94	577	San Jose	3	Columbus	2	AW	X	X	Sommaire du match
97	594	Seattle	3	San Jose	1	BL			Sommaire du match
99	608	Vancouver	1	San Jose	5	BW			Sommaire du match
101	619	San Jose	2	Tampa Bay	1	AW	X		Sommaire du match
103	630	San Jose	4	NYRangers	2	AW			Sommaire du match
104	641	LosAngeles	2	San Jose	5	BW			Sommaire du match
106	653	Columbus	1	San Jose	6	BW			Sommaire du match
108	663	San Jose	8	Seattle	2	AW			Sommaire du match
111	680	San Jose	3	NYIslanders	2	AW			Sommaire du match
112	687	San Jose	7	Seattle	2	AW			Sommaire du match
113	694	Pittsburgh	1	San Jose	3	BW			Sommaire du match
116	712	Winnipeg	3	San Jose	5	BW			Sommaire du match
117	725	San Jose	5	Minnesota	2	AW			Sommaire du match
119	734	Detroit	2	San Jose	0	BL			Sommaire du match
121	750	Floride	5	San Jose	0	BL			Sommaire du match
123	760	San Jose	5	Floride	6	AL	X		Sommaire du match
126	779	Edmonton	6	San Jose	5	BL	X	X	Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128	789	San Jose	2	St. Louis	3	AL	X		Sommaire du match
130	800	San Jose	4	Vancouver	5	AL			Sommaire du match
131	810	Minnesota	2	San Jose	3	BW	X	X	Sommaire du match
134	826	NYIslanders	2	San Jose	4	BW			Sommaire du match
137	839	San Jose	3	Buffalo	2	AW	X	X	Sommaire du match
139	849	NYRangers	3	San Jose	4	BW	X		Sommaire du match
141	864	San Jose	2	Vancouver	4	AL			Sommaire du match
143	872	San Jose	5	Dallas	4	AW			Sommaire du match
144	881	Washington	4	San Jose	2	BL			Sommaire du match
146	896	San Jose	3	Colorado	2	AW	X		Sommaire du match
148	905	Montreal	2	San Jose	3	BW			Sommaire du match
152	924	Tampa Bay	5	San Jose	6	BW			Sommaire du match
154	936	San Jose	4	Pittsburgh	1	AW			Sommaire du match
157	948	San Jose	3	Anaheim	1	AW			Sommaire du match
158	954	Anaheim	3	San Jose	6	BW			Sommaire du match
161	969	San Jose	1	Anaheim	5	AL			Sommaire du match
163	981	Anaheim	4	San Jose	3	BL			Sommaire du match

Capacité de l’aréna - Tendance du prix des billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6666	6000	2778	5556	1000
Prix des billets	85	56	43	32	170
Assistance	258,820	234,218	104,106	192,122	40,784
Attendance PCT	94.70%	95.21%	91.40%	84.34%	99.47%

Revenu
Matchs à domicile restants	Assistance moyenne - %	Revenu moyen par match	Revenu annuel à ce jour	Capacité	Popularité de l’équipe
0	20245 - 92.02%	1,734,376$	71,109,426$	22000	100

Dépenses
Dépenses annuelles à ce jour	Salaire total des joueurs	Salaire total moyen des joueurs	Salaire des entraineurs	Valeur du plafond salarial spécial
65,261,232$	60,000,000$	60,000,000$	0$	550,000$

Plafond salarial par jour	Plafond salarial à ce jour	Taxe de luxe totale	Joueurs Inclus dans le plafond salarial	Joueurs exclut du plafond Salarial
363,636$	62,245,300$	0$	21	0

Estimation
Revenus de la saison estimés	Jours restants de la saison	Dépenses par jour	Dépenses de la saison estimées
0$	0	375,758$	0$

Total de l’équipe estimé
Dépenses de la saison estimées	Compte bancaire actuel	Compte bancaire projeté
20,424$	35,854,494$	35,834,070$

Cap Salarial de la Saison estimé	Plafond salarial disponible	Plafond salarial maximum	Au dessus du plancher salarial
62,795,300$	2,204,700$	65,000,000$	22,795,300$

Charte de profondeur

Ailier gauche

Centre

Ailier droit

Patrik Laine	AGE:24	PO:75	OV:0
Jesper Bratt	AGE:23	PO:73	OV:0
Noah Gregor (R)	AGE:23	PO:66	OV:0
Parker Kelly (R)	AGE:23	PO:62	OV:0
Nico Sturm	AGE:27	PO:61	OV:0
Nikolay Goldobin	AGE:26	PO:60	OV:0
Warren Foegele	AGE:26	PO:60	OV:0
Michael Pezzetta (R)	AGE:24	PO:59	OV:0
Michael Eyssimont	AGE:25	PO:58	OV:0
Dominik Simon	AGE:27	PO:57	OV:0
Peter Holland	AGE:31	PO:51	OV:0
Cedric Paquette	AGE:28	PO:49	OV:0
Joe Colborne	AGE:32	PO:46	OV:0
Beau Bennett	AGE:30	PO:43	OV:0
David Perron	AGE:34	PO:26	OV:0
Nick Spaling	AGE:33	PO:24	OV:0

Brayden Point	AGE:26	PO:73	OV:0
Mark Scheifele	AGE:29	PO:62	OV:0
Parker Kelly (R)	AGE:23	PO:62	OV:0
Nico Sturm	AGE:27	PO:61	OV:0
Michael Eyssimont	AGE:25	PO:58	OV:0
Dominik Simon	AGE:27	PO:57	OV:0
Peter Holland	AGE:31	PO:51	OV:0
Cedric Paquette	AGE:28	PO:49	OV:0
Joe Colborne	AGE:32	PO:46	OV:0
Drew Shore	AGE:31	PO:45	OV:0
Nick Spaling	AGE:33	PO:24	OV:0
Blake Wheeler	AGE:35	PO:23	OV:0

Patrik Laine	AGE:24	PO:75	OV:0
Brayden Point	AGE:26	PO:73	OV:0
Jesper Bratt	AGE:23	PO:73	OV:0
Nathan Bastian (R)	AGE:24	PO:67	OV:0
Noah Gregor (R)	AGE:23	PO:66	OV:0
Nikolay Goldobin	AGE:26	PO:60	OV:0
Warren Foegele	AGE:26	PO:60	OV:0
Michael Pezzetta (R)	AGE:24	PO:59	OV:0
Michael Eyssimont	AGE:25	PO:58	OV:0
Dominik Simon	AGE:27	PO:57	OV:0
Peter Holland	AGE:31	PO:51	OV:0
Saku Maenalanen (R)	AGE:28	PO:48	OV:0
Joe Colborne	AGE:32	PO:46	OV:0
Beau Bennett	AGE:30	PO:43	OV:0
Cam Atkinson	AGE:33	PO:33	OV:0
David Perron	AGE:34	PO:26	OV:0
Justin Fontaine	AGE:34	PO:24	OV:0
Blake Wheeler	AGE:35	PO:23	OV:0

Défense #1

Défense #2

Gardien

Moritz Seider	AGE:21	PO:91	OV:0
Rasmus Andersson	AGE:25	PO:78	OV:0
Zach Werenski	AGE:24	PO:75	OV:0
Jake Walman (R)	AGE:26	PO:68	OV:0
Calle Rosen	AGE:28	PO:55	OV:0
Alexey Marchenko	AGE:30	PO:49	OV:0

Nick Jensen	AGE:31	PO:39	OV:0
Kris Letang	AGE:35	PO:32	OV:0
Jason Demers	AGE:34	PO:30	OV:0
Jack Johnson	AGE:35	PO:30	OV:0
Justin Braun	AGE:34	PO:28	OV:0
Trevor Daley	AGE:38	PO:13	OV:0

Jordan Binnington	AGE:28	PO:69	OV:0
Elvis Merzlikins	AGE:28	PO:64	OV:0
Jakob Markstrom	AGE:32	PO:46	OV:0
Craig Anderson	AGE:42	PO:15	OV:0

Espoirs

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

Espoir	Nom de l’équipe	Année de repêchage	Choix total
Adam Gajan*	San Jose	21	72
Alexander Pashin	San Jose	19	151
Bowen Byram	San Jose	18	5
Brad Lambert	San Jose	21	24
Brady Lyle*	San Jose	19	121
Brandon Hickey	San Jose	13	64
Carter Savoie	San Jose	19	82
Cole Koepke*	San Jose	20	142
Connor Corcoran	San Jose	17	158
Connor Ingram	San Jose	15	99
Cristophe Lalancette	San Jose	11	104
Danil Gushchin	San Jose	19	51
Dennis Gilbert	San Jose	14	147
Dylan Duke	San Jose	20	86
Dylan Guenther	San Jose	20	9
Giovanni Vallati	San Jose	17	150
Gleb Trikozov	San Jose	21	48
Hardy Häman Aktell*	San Jose	21	144
Jack Kopacka	San Jose	15	123
Jakub Dobes*	San Jose	20	104
Joe Veleno	San Jose	17	19
Jonne Tammela	San Jose	14	111
Kirill Maksimov	San Jose	16	75
Leon Gawanke	San Jose	16	147
Lucas Edmonds*	San Jose	20	105
Mason Geertsen	San Jose	12	122
Matthew Strome	San Jose	16	51
Maxim Beryozkin*	San Jose	20	166
Mike Robinson	San Jose	14	123
Mikey Milne*	San Jose	20	83
Morgan Klimchuk	San Jose	12	32
Nikita Chibrikov	San Jose	20	42
Nikita Grebyonkin*	San Jose	21	96
Nolan Patrick	San Jose	16	3
Quinton Byfield	San Jose	19	3
Rasmus Sandin	San Jose	17	14
Ryan Ufko	San Jose	20	85
Simon Lundmark	San Jose	18	78
Simon Robertsson	San Jose	20	56
Stanislav Svozil	San Jose	20	80
Veeti Miettinen	San Jose	19	97
Vladimir Grudinin	San Jose	21	120

Choix au repêchage

Année	R1	R2	R3	R4	R5	R6	R7
22
23
24
25
26

Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.

San Jose Historique de transactions

[2024-04-17 19:32:38] - San Jose show interest in Paul Byron from waiver.
[2024-04-15 17:10:32] - New Record for Team's Most Shots (57) in 1 Game for San Jose!
[2024-03-12 00:37:57] - TRADE : From San Jose to Washington : Mattias Ekholm, $1,000,000 (Money), Y:22-RND:5-S J.
[2024-03-12 00:37:57] - TRADE : From Washington to San Jose : Y:22-RND:3-MIN.
[2024-02-15 08:25:05] - TRADE : From San Jose to Buffalo : Jason Zucker.
[2023-11-01 17:58:57] - Saku Maenalanen has been selected as assistant for San Jose.
[2023-11-01 17:58:57] - Unknown Player is no longer as assistant for San Jose.
[2023-10-20 19:01:33] - Saku Maenalanen has been selected as assistant for San Jose.
[2023-10-20 19:01:33] - Michael Dal Colle is no longer as assistant for San Jose.
[2023-10-20 19:01:33] - Jack Johnson has been selected as assistant for San Jose.
[2023-10-20 19:01:33] - Thomas Chabot is no longer as assistant for San Jose.
[2023-10-20 19:01:33] - Jake Walman has been selected as captain for San Jose.
[2023-10-20 19:01:33] - Unknown Player is no longer captain for San Jose.
[2023-10-20 19:01:33] - Blake Wheeler has been selected as assistant for San Jose.
[2023-10-20 19:01:33] - Unknown Player is no longer as assistant for San Jose.
[2023-10-20 19:01:33] - Zach Werenski has been selected as assistant for San Jose.
[2023-10-20 19:01:33] - Alex Pietrangelo is no longer as assistant for San Jose.
[2023-10-20 19:01:33] - Brayden Point has been selected as captain for San Jose.
[2023-10-20 19:01:33] - Unknown Player is no longer captain for San Jose.
[2023-10-13 05:06:26] - Saku Maenalanen was added to San Jose.
[2023-10-13 04:36:07] - Marcus Johansson was released.
[2023-10-13 04:36:07] - San Jose paid 1 450 000 $ to release Marcus Johansson.
[2023-10-11 21:10:07] - Calle Rosen signed with San Jose for 1 800 000 $ for 1 year(s).
[2023-10-11 21:10:07] - Calle Rosen was added to San Jose.
[2023-10-07 21:20:19] - Adam McQuaid was released.
[2023-10-07 21:20:19] - San Jose paid 0 $ to release Adam McQuaid .
[2023-10-07 21:20:13] - Michael Sauer was released.
[2023-10-07 21:20:13] - San Jose paid 0 $ to release Michael Sauer.
[2023-10-07 21:20:03] - Leo Komarov was released.
[2023-10-07 21:20:03] - San Jose paid 0 $ to release Leo Komarov.
[2023-10-07 21:19:56] - Freddie Hamilton was released.
[2023-10-07 21:19:56] - San Jose paid 0 $ to release Freddie Hamilton.
[2023-10-03 14:56:15] - Craig Anderson signed with San Jose for 750 000 $ for 1 year(s).
[2023-10-03 14:56:15] - Craig Anderson was added to San Jose.
[2023-10-03 14:56:00] - Jason Demers signed with San Jose for 1 350 000 $ for 2 year(s).
[2023-10-03 14:56:00] - Jason Demers was added to San Jose.
[2023-10-03 14:55:28] - Dominik Simon signed with San Jose for 1 600 000 $ for 1 year(s).
[2023-10-03 14:55:28] - Dominik Simon was added to San Jose.
[2023-10-03 14:55:04] - Drew Shore signed with San Jose for 700 000 $ for 2 year(s).
[2023-10-03 14:55:04] - Drew Shore was added to San Jose.

[2024-04-27 08:08:27] Last 7 Days Farm Star : 1 - Josh Norris of Rochester (4-3-7) / 2 - Noah Gregor of San Jose (2-5-7) / 3 - Lucas Raymond of Rochester (4-4-8)
[2024-04-26 17:52:58] Successfully loaded San Jose lines done with STHS Client - 3.3.9.9
[2024-04-24 19:24:35] Brayden Point from San Jose is back from Strained Left Knee Injury.
[2024-04-24 19:21:57] Last 7 Days Farm Star : 1 - Noah Gregor of San Jose (3-6-9) / 2 - Josh Norris of Rochester (4-2-6) / 3 - Mitchell Stephens of Rockford (3-4-7)
[2024-04-24 19:21:25] Successfully loaded San Jose lines done with STHS Client - 3.3.9.9
[2024-04-22 18:58:32] Successfully loaded San Jose lines done with STHS Client - 3.3.9.9
[2024-04-19 18:38:36] Nathan Bastian from San Jose completes suspension
[2024-04-19 18:16:28] Successfully loaded San Jose lines done with STHS Client - 3.3.9.9
[2024-04-17 19:38:22] Game 918 - Nathan Bastian from San Jose suspended for 1 game(s)
[2024-04-17 19:34:28] Successfully loaded San Jose lines done with Web Base Client.
[2024-04-17 19:34:28] San Jose cannot claim Paul Byron from waivers because Chicago has already claimed him and has priority.
[2024-04-17 19:32:42] Successfully loaded San Jose lines done with STHS Client - 3.3.9.9
[2024-04-17 19:32:40] Successfully loaded San Jose lines done with Web Base Client.
[2024-04-17 19:32:38] San Jose show interest in Paul Byron from waiver.
[2024-04-15 17:10:32] Last 7 Days Pro Star : 1 - Patrik Laine of San Jose (6-2-8) / 2 - William Karlsson of St. Louis (4-2-6) / 3 - Matt Murray of St. Louis (0,975)
[2024-04-15 17:10:32] New Record for Team's Most Shots (57) in 1 Game for San Jose!
[2024-04-15 17:09:14] Successfully loaded San Jose lines done with STHS Client - 3.3.9.9
[2024-04-15 17:09:14] Saku Maenalanen of San Jose was sent to pro.
[2024-04-12 19:15:45] Pro Game #924 - Patrik Laine from San Jose has scored a Hat Trick!
[2024-04-12 19:15:45] Game 924 - Brayden Point from San Jose is injured (Strained Left Knee) and is out for 2 weeks.
[2024-04-12 19:14:34] Farm Game #894 - Joe Colborne from San Jose has scored a Hat Trick!
[2024-04-12 19:14:09] Successfully loaded San Jose lines done with STHS Client - 3.3.9.9
[2024-04-10 19:11:13] Successfully loaded San Jose lines done with STHS Client - 3.3.9.9
[2024-04-08 22:11:50] Successfully loaded San Jose lines done with STHS Client - 3.3.9.9
[2024-04-05 18:58:38] Successfully loaded San Jose lines done with STHS Client - 3.3.9.9
[2024-04-03 18:52:52] Rasmus Andersson from San Jose is back from Left Hip Injury.
[2024-04-03 18:52:52] Jesper Bratt of San Jose was sent to farm.
[2024-04-03 18:52:52] Alexey Marchenko of San Jose was sent to farm.

Pas de blessure ou de suspension.

San Jose Leaders statistiques des joueurs (saison régulière)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Tony DeAngelo	245	59	149	208	-42	306	502	319	597	9.88%	362	5582	22.78	39	50	89	346	0	0	0	1	7	3	0%	1	0.75	0	2
2	Kevin Fiala	242	95	106	201	2	68	107	325	885	10.73%	25	4600	19.01	15	33	48	199	0	0	0	4	15	1	52.97%	0	0.87	4	17
3	Noah Dobson	241	42	132	174	-22	162	257	274	515	8.16%	428	5344	22.18	28	44	72	277	0	4	4	1	4	2	0%	0	0.65	0	0
4	Jordan Eberle	164	40	78	118	0	68	154	112	362	11.05%	30	2960	18.05	2	34	36	58	0	0	0	4	6	0	48.85%	0	0.80	0	4
5	Viktor Arvidsson	246	40	65	105	-8	50	108	300	394	10.15%	17	3807	15.48	4	12	16	36	1	0	1	4	3	2	45.87%	0	0.55	0	0

San Jose Leaders des statistiques des gardiens (saison régulière)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Anton Forsberg	98	44	40	4	0.908	3.05	5526	2	1	281	3070	3	0	0.714	21
2	Karel Vejmelka	100	40	52	4	0.906	3.39	5670	12	2	320	3412	6	6	0.600	20
3	Jonathan Quick	68	26	33	9	0.899	3.35	4000	8	2	223	2205	0	0	0.679	56
4	Adam Dennis	4	2	2	0	0.922	3.03	238	0	0	12	154	0	0	0	0

San Jose Statistiques de l'Équipe de Carrière

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	Total											Domicile											Visiteur
Année	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	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
Saison régulière
20	82	33	33	0	3	1	8	4	232	228	4	41	19	14	0	3	0	3	2	123	105	18	41	14	19	0	0	1	5	2	109	123	-14	93	232	406	638	0	3	79	71	71	19	2466	785	776	877	70	2529	804	938	1431	328	62	18.90%	340	65	80.88%	2	1505	2936	51.26%	1516	2929	51.76%	684	1285	53.23%	1997	1394	1954	598	1037	523
21	82	27	44	0	6	1	1	3	264	291	-27	41	12	23	0	4	0	0	2	124	142	-18	41	15	21	0	2	1	1	1	140	149	-9	72	264	463	727	3	1	113	70	74	10	2615	881	838	878	34	3006	949	766	1501	305	64	20.98%	328	73	77.74%	2	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	1901	1297	2006	610	1046	514
21	82	27	44	0	6	1	1	3	264	291	-27	41	12	23	0	4	0	0	2	124	142	-18	41	15	21	0	2	1	1	1	140	149	-9	72	264	463	727	3	1	113	70	74	10	2615	881	838	878	34	3006	949	766	1501	305	64	20.98%	328	73	77.74%	2	1401	2968	47.20%	1523	3196	47.65%	691	1349	51.22%	1901	1297	2006	610	1046	514
Total Saison régulière	246	112	82	0	21	7	13	11	821	709	112	123	58	41	0	9	3	5	7	397	347	50	123	54	41	0	12	4	8	4	424	362	62	310	821	1434	2255	3	10	257	254	276	44	8352	2599	2713	2907	221	8369	2466	2060	4089	843	170	20.17%	853	154	81.95%	6	4558	9232	49.37%	4633	9211	50.30%	1889	3800	49.71%	5962	4164	5848	1799	3128	1562
Séries éliminatoires
20	5	1	4	0	0	0	0	0	12	19	-7	2	0	2	0	0	0	0	0	4	7	-3	3	1	2	0	0	0	0	0	8	12	-4	2	12	20	32	0	0	4	3	5	0	144	61	37	46	0	183	56	48	110	15	3	20.00%	21	7	66.67%	1	85	177	48.02%	90	190	47.37%	35	81	43.21%	124	87	115	33	62	31
Total Séries éliminatoires	25	16	9	0	0	0	0	0	76	79	-3	11	7	4	0	0	0	0	0	33	30	3	14	9	5	0	0	0	0	0	43	49	-6	32	76	142	218	0	2	25	24	25	2	804	259	257	262	26	790	241	170	433	84	13	15.48%	74	17	77.03%	0	438	922	47.51%	439	937	46.85%	203	417	48.68%	617	436	601	184	322	159

San Jose Leaders statistiques des joueurs (séries éliminatoires)

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#	Nom du joueur	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKA	PKP	GW	FO%	P/20
1	Alexander Wennberg	5	3	1	4	0	0	3	14	16	18.75%	0	89	17.96	0	1	1	2	0	0	1	46.67%	0.89
2	Kevin Fiala	5	2	2	4	-3	0	0	5	22	9.09%	0	105	21.02	1	1	2	1	0	0	0	18.18%	0.76
3	Tony DeAngelo	5	1	3	4	-3	6	21	5	6	16.67%	11	120	24.20	0	0	0	3	0	0	0	0%	0.66
4	Evgeni Malkin	5	0	3	3	-2	6	24	8	8	0%	2	104	20.91	0	1	1	2	1	1	0	51.63%	0.57
5	Lars Eller	5	1	2	3	2	0	1	7	9	11.11%	0	86	17.25	0	1	1	3	0	0	0	44.25%	0.70

San Jose Leaders des statistiques des gardiens (séries éliminatoires)

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#	Nom du gardien	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Anton Forsberg	4	1	2	1	0.903	3.70	211	0	0	13	134	0	0	0	0	0
2	Jonathan Quick	2	0	1	0	0.878	4.00	90	0	0	6	49	0	0	0	0	0

	San Jose
	GP: 82 \| W: 54 \| L: 22 \| OTL: 6 \| P: 114 GF: 283 \| GA: 230 \| PP%: 20.21% \| PK%: 81.79% DG: Vincent Fournier \| Morale : 50 \| Moyenne d’équipe : N/A