Ligue de Hockey Simulé du Saguenay

Barracuda
Formation
Points
Informations Joueurs
Lignes
Statistiques d'Équipe
Calendrier
Finance
Profondeur
Actualité
Historique
Dernière Transactions
Blessure/Suspension

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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Jason Spezza (C)	X				100.00	77	47	76	74	78	74	78	73	74	90	82	74	70	90	99	21	45	78	1
2	Nick Palmieri			X		100.00	72	38	73	80	86	79	77	79	72	78	83	73	74	66	51	32	55	76	1
3	Mike Cammalleri		X			100.00	86	42	80	68	81	69	70	67	75	76	82	70	69	85	81	16	55	74	0
4	Milan Michalek (A)		X			100.00	77	41	78	68	75	72	81	71	74	79	79	71	74	84	78	21	55	74	0
5	T.J. Hensick	X				100.00	73	36	71	73	72	76	69	78	71	73	77	69	69	77	76	22	55	73	0
6	Oskar Osala			X		100.00	73	36	70	78	80	66	76	78	73	78	78	67	74	64	59	26	47	73	0
7	Bobby Butler			X		100.00	79	21	79	73	76	83	75	68	79	75	75	65	70	71	60	27	43	72	0
8	Zach Boychuk		X			100.00	74	41	75	78	78	72	74	77	72	80	69	63	74	64	60	33	55	72	0
9	Luke Adam	X				100.00	66	26	80	77	78	77	78	74	72	68	80	63	75	53	49	36	52	71	0
10	Boone Jenner (R)	X				100.00	74	28	79	73	85	72	76	72	71	74	76	61	75	48	44	56	47	70	0
11	Phil Di Giuseppe (R)		X			100.00	62	32	72	75	67	71	72	73	65	58	73	47	62	44	44	47	46	64	0
12	Drew Doughty (A)				X	100.00	79	30	88	89	88	84	86	93	59	90	82	84	73	78	67	42	55	83	2
13	PK Subban				X	100.00	84	43	82	81	81	83	77	76	63	80	70	80	70	74	49	35	35	78	1
14	Tyler Cuma				X	100.00	79	23	80	84	79	82	84	82	59	85	69	78	68	69	47	37	55	77	1
15	Andrej Sekera				X	100.00	78	37	84	76	79	74	82	73	51	72	71	82	66	76	58	23	55	76	1
16	Karl Alzner				X	100.00	73	31	84	81	83	79	82	77	61	79	66	80	73	72	57	31	40	76	1
17	David Rundblad				X	100.00	72	24	77	79	78	77	77	75	46	76	72	76	58	63	53	36	26	73	0
18	Brayden McNabb (R)				X	100.00	76	31	71	75	80	86	70	69	56	76	66	76	61	55	46	43	49	72	0
Rayé
1	Brandon Dubinsky		X			82.85	76	39	81	77	74	79	70	79	74	76	80	63	65	74	68	24	39	74	0
2	Jiri Tlusty			X		100.00	67	24	79	75	72	74	75	71	68	76	81	66	72	61	50	29	39	71	0

	MOYENNE D'ÉQUIPE					99.14	75	34	78	77	79	76	76	75	67	77	76	70	70	68	60	32	47	74

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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
1	Ryan Miller	100.00	84	74	80	71	78	81	84	77	74	70	83	95	99	15	51	79	1
2	Antti Niemi	100.00	78	76	73	78	77	73	74	80	71	79	72	84	89	19	46	76	1
Rayé

	MOYENNE D'ÉQUIPE	100.00	81	75	77	75	78	77	79	79	73	75	78	90	94	17	49	78

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Patrick Roy	79	85	67	58	37	80	59	CAN	46	1	760,000$

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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	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FL	S1	S2	S3
1	Jason Spezza	Sharks	C	80	42	53	95	-2	80	0	140	202	234	78	135	17.95%	49	1890	23.63	12	24	36	33	262	1	0	1	4	293	3	2	50.26%	2732	28	31	1	2	1.01	2	15	0	6	11	3
2	Nick Palmieri	Sharks	RW	80	40	45	85	-2	82	0	123	106	308	91	193	12.99%	57	1835	22.94	14	18	32	50	266	0	0	0	7	295	4	1	52.63%	171	72	50	1	0	0.93	2	15	0	6	6	4
3	Drew Doughty	Sharks	D	80	22	63	85	-21	12	0	127	183	338	123	135	6.51%	143	2299	28.74	12	23	35	80	292	0	2	2	11	347	4	4	0.00%	0	89	90	1	0	0.74	1	1	0	3	8	0
4	Brandon Dubinsky	Sharks	LW	73	19	23	42	8	32	0	102	87	212	65	124	8.96%	39	1391	19.06	3	6	9	20	200	2	0	2	8	196	2	2	55.41%	74	39	15	0	0	0.60	1	7	0	2	2	6
5	Milan Michalek	Sharks	LW	80	17	22	39	0	36	0	109	65	129	37	80	13.18%	23	1088	13.61	0	2	2	2	46	0	1	1	1	34	3	3	44.62%	65	20	16	0	0	0.72	1	4	0	3	0	1
6	T.J. Hensick	Sharks	C	80	16	22	38	7	54	0	108	121	145	47	95	11.03%	21	1218	15.23	6	3	9	23	215	0	0	0	0	17	2	2	48.42%	824	28	21	0	0	0.62	0	0	0	1	2	4
7	Tyler Cuma	Sharks	D	80	8	27	35	2	36	0	98	119	127	51	42	6.30%	85	1769	22.12	4	5	9	16	215	0	2	2	4	235	2	1	0.00%	0	35	51	0	0	0.40	0	0	0	0	1	0
8	Mike Cammalleri	Sharks	LW	80	15	17	32	-2	36	0	132	101	96	29	60	15.63%	40	1615	20.19	7	3	10	16	236	1	1	2	2	148	3	2	49.36%	156	9	32	0	0	0.40	4	12	0	1	0	3
9	PK Subban	Sharks	D	80	6	25	31	-7	46	0	98	132	103	42	46	5.83%	113	2049	25.62	3	6	9	16	270	0	0	0	4	325	2	0	0.00%	0	32	76	0	0	0.30	0	2	0	4	0	3
10	Oskar Osala	Sharks	RW	78	19	12	31	3	84	0	103	77	118	45	61	16.10%	17	1193	15.31	4	5	9	11	200	0	0	0	0	0	5	0	45.10%	51	18	21	0	0	0.52	1	1	0	1	1	5
11	Luke Adam	Sharks	C	80	12	17	29	3	37	5	59	86	134	36	87	8.96%	22	911	11.39	0	0	0	0	0	0	0	0	0	9	2	0	45.40%	478	23	14	0	0	0.64	0	1	1	1	2	3
12	Bobby Butler	Sharks	RW	76	8	15	23	0	36	0	82	71	114	32	53	7.02%	14	915	12.05	0	2	2	2	19	0	0	0	0	0	1	1	48.39%	31	12	10	0	0	0.50	0	0	0	1	0	0
13	Zach Boychuk	Sharks	LW	80	8	11	19	6	26	0	83	45	74	17	48	10.81%	14	765	9.57	0	0	0	0	1	0	1	1	1	139	0	0	45.45%	88	19	13	0	0	0.50	1	1	0	0	2	0
14	Boone Jenner	Sharks	C	68	9	9	18	-1	16	0	55	57	55	13	26	16.36%	5	634	9.33	0	0	0	0	16	0	0	0	0	66	1	0	44.78%	268	8	15	0	0	0.57	0	0	0	1	0	1
15	Karl Alzner	Sharks	D	80	4	14	18	-4	18	0	65	83	84	28	34	4.76%	90	1581	19.76	0	4	4	7	166	0	0	0	2	212	0	0	0.00%	0	29	36	0	0	0.23	0	1	0	0	1	1
16	Andrej Sekera	Sharks	D	80	3	14	17	19	8	0	43	87	46	19	23	6.52%	53	1054	13.18	0	0	0	0	13	0	0	0	0	61	1	1	0.00%	1	7	38	0	0	0.32	0	0	0	1	0	1
17	Jiri Tlusty	Sharks	RW	62	4	12	16	8	8	0	25	32	55	10	36	7.27%	14	469	7.58	0	0	0	2	2	0	0	0	0	0	0	0	37.50%	16	8	9	0	0	0.68	0	0	0	1	0	1
18	Brayden McNabb	Sharks	D	77	1	7	8	17	50	0	54	49	29	8	7	3.45%	39	785	10.21	0	0	0	0	1	0	0	0	0	45	0	0	0.00%	0	7	23	0	0	0.20	0	0	0	0	0	0
19	David Rundblad	Sharks	D	43	0	1	1	3	16	0	13	28	7	5	3	0.00%	16	351	8.17	0	0	0	0	4	0	0	0	0	14	0	0	100.00%	1	2	7	0	0	0.06	0	0	0	0	0	0
20	Kevin Connauton	Barracuda (SJS)	D	1	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	5	5.32	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	0	0	0	0.00	0	0	0	0	0	0
21	Phil Di Giuseppe	Sharks	LW	6	0	0	0	0	2	0	2	0	0	0	0	0.00%	0	10	1.80	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	4	0	0	0	0	0.00	0	1	0	0	0	0
Stats d'équipe Total ou en Moyenne				1444	253	409	662	37	715	5	1621	1731	2408	776	1288	10.51%	854	23836	16.51	65	101	166	278	2431	4	7	11	44	2444	35	19	49.01%	4960	485	568	3	2	0.56	13	61	1	32	36	36

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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	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Ryan Miller	Sharks	73	35	24	13	0.901	3.02	4215	2	1	212	2134	984	7	1	0.667	48	73	4	7	9	2
2	Antti Niemi	Sharks	21	5	3	2	0.895	3.26	884	0	0	48	458	250	2	1	0.857	7	9	76	0	1	0
Stats d'équipe Total ou en Moyenne			94	40	27	15	0.900	3.06	5099	2	1	260	2592	1234	9	2	0.691	55	82	80	7	10	2

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	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3
Andrej Sekera	Sharks	D	29	1986-01-01	No	197 Lbs	6 ft0	No	No	No	1	Pro Only	3,000,000$	3,000,000$	0$	No
Antti Niemi	Sharks	G	32	1983-01-01	No	210 Lbs	6 ft2	No	No	No	1	Pro Only	1,250,000$	1,250,000$	0$	No
Bobby Butler	Sharks	RW	28	1987-01-01	No	180 Lbs	6 ft0	No	No	No	2	Pro Only	1,350,000$	1,350,000$	0$	No	1,450,000$
Boone Jenner	Sharks	C	22	1993-01-01	Yes	215 Lbs	6 ft2	No	No	No	2	Pro & Farm	999,999$	999,999$	0$	No	1,100,000$
Brandon Dubinsky (Sur la Masse Salariale)	Sharks	LW	29	1986-01-01	No	205 Lbs	6 ft1	No	No	No	1	Pro Only	2,200,000$	0$	0$	Yes
Brayden McNabb	Sharks	D	24	1991-01-01	Yes	208 Lbs	6 ft4	No	No	No	1	Pro & Farm	1,250,000$	1,250,000$	0$	No
David Rundblad	Sharks	D	25	1990-01-01	No	195 Lbs	6 ft2	No	No	No	2	Pro Only	1,250,000$	1,250,000$	0$	No	1,450,000$
Drew Doughty	Sharks	D	26	1989-01-01	No	212 Lbs	6 ft0	No	No	No	3	Pro Only	7,500,000$	7,500,000$	0$	No	8,000,000$	8,000,000$
Jason Spezza	Sharks	C	32	1983-01-01	No	215 Lbs	6 ft3	No	No	No	3	Pro Only	7,000,000$	7,000,000$	0$	No	7,000,000$	7,000,000$
Jiri Tlusty	Sharks	RW	27	1988-01-01	No	209 Lbs	6 ft0	No	No	No	1	Pro Only	1,250,000$	1,250,000$	0$	No
Karl Alzner	Sharks	D	27	1988-01-01	No	210 Lbs	6 ft2	No	No	No	3	Pro Only	3,000,000$	3,000,000$	0$	No	3,000,000$	3,000,000$
Luke Adam	Sharks	C	25	1990-01-01	No	203 Lbs	6 ft2	No	No	No	1	Pro Only	1,250,000$	1,250,000$	0$	No
Mike Cammalleri	Sharks	LW	33	1982-01-01	No	182 Lbs	5 ft9	No	No	No	2	Pro Only	3,200,000$	3,200,000$	0$	No	2,500,000$
Milan Michalek	Sharks	LW	31	1984-01-01	No	225 Lbs	6 ft2	No	No	No	2	Pro Only	2,500,000$	2,500,000$	0$	No	2,900,000$
Nick Palmieri	Sharks	RW	26	1989-01-01	No	215 Lbs	6 ft2	No	No	No	3	Pro Only	2,500,000$	2,500,000$	0$	No	2,500,000$	3,000,000$
Oskar Osala	Sharks	RW	28	1987-01-01	No	219 Lbs	6 ft4	No	No	No	1	Pro Only	1,700,000$	1,700,000$	0$	No
PK Subban	Sharks	D	26	1989-01-01	No	206 Lbs	6 ft0	No	No	No	2	Pro Only	3,750,000$	3,750,000$	0$	No	4,250,000$
Phil Di Giuseppe	Sharks	LW	22	1993-01-01	Yes	197 Lbs	5 ft11	No	No	No	2	Pro & Farm	400,000$	400,000$	0$	No	400,000$
Ryan Miller	Sharks	G	35	1980-01-01	No	175 Lbs	6 ft2	No	No	No	2	Pro Only	5,000,000$	5,000,000$	0$	No	4,000,000$
T.J. Hensick	Sharks	C	30	1985-01-01	No	185 Lbs	5 ft10	No	No	No	1	Pro Only	1,350,000$	1,350,000$	0$	No
Tyler Cuma	Sharks	D	25	1990-01-01	No	180 Lbs	6 ft2	No	No	No	3	Pro Only	2,750,000$	2,750,000$	0$	No	2,750,000$	2,750,000$
Zach Boychuk	Sharks	LW	26	1989-01-01	No	185 Lbs	5 ft10	No	No	No	2	Pro Only	1,200,000$	1,200,000$	0$	No	1,400,000$

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
22	27.64	201 Lbs	6 ft1	1.86	2,529,545$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
55,649,999$	42,700,000$	23,750,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mike Cammalleri	Jason Spezza	Nick Palmieri	40	1	1	3
2	Milan Michalek	T.J. Hensick	Oskar Osala	30	1	2	2
3	Zach Boychuk	Luke Adam	Bobby Butler	20	1	2	2
4	Milan Michalek	T.J. Hensick	Boone Jenner	10	1	3	1

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Drew Doughty	Tyler Cuma	40	1	1	3
2	PK Subban	Karl Alzner	30	1	2	2
3	Andrej Sekera	Brayden McNabb	20	1	2	2
4	David Rundblad	Drew Doughty	10	1	3	1

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Mike Cammalleri	Jason Spezza	Nick Palmieri	60	1	1	3
2	Boone Jenner	T.J. Hensick	Oskar Osala	40	1	1	3

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Drew Doughty	Tyler Cuma	60	1	1	3
2	PK Subban	Karl Alzner	40	1	1	3

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Spezza	Nick Palmieri	60	1	4	0
2	Mike Cammalleri	Milan Michalek	40	1	4	0

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Drew Doughty	PK Subban	60	1	4	0
2	Tyler Cuma	Karl Alzner	40	1	4	0

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jason Spezza	60	1	4	0	Drew Doughty	PK Subban	60	1	4	0
2	Nick Palmieri	40	1	4	0	Tyler Cuma	Karl Alzner	40	1	4	0

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jason Spezza	Nick Palmieri	60	1	2	2
2	Mike Cammalleri	Luke Adam	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Drew Doughty	Tyler Cuma	60	1	2	2
2	PK Subban	Karl Alzner	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mike Cammalleri	Jason Spezza	Nick Palmieri	Drew Doughty	PK Subban

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mike Cammalleri	Jason Spezza	Nick Palmieri	Drew Doughty	PK Subban

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Milan Michalek, Bobby Butler, Phil Di Giuseppe	Milan Michalek, Bobby Butler	Zach Boychuk

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Andrej Sekera, Brayden McNabb, David Rundblad	Andrej Sekera	Brayden McNabb, David Rundblad

Tirs de Pénalité
Jason Spezza, Nick Palmieri, Mike Cammalleri, Milan Michalek, Phil Di Giuseppe

Gardien
#1 : Ryan Miller, #2 : Antti Niemi

Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,

Lignes de Défense Perso. en Prol.
, , , ,

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

	Ligue												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	Avalanche	2	1	1	0	0	0	0	0	5	7	-2	1	0	1	0	0	0	0	0	2	5	-3	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	6	11	0	0	2	2	1	0	49	12	20	17	0	70	24	20	32	6	2	33.33%	10	1	90.00%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	35	17	45	18	38	18
2	Blackhawks	6	3	3	0	0	0	0	0	21	18	3	3	3	0	0	0	0	0	0	13	4	9	3	0	3	0	0	0	0	0	8	14	-6	6	0.500	21	38	59	0	0	8	6	7	0	177	61	64	52	0	195	62	52	123	24	3	12.50%	26	4	84.62%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	124	68	130	55	104	51
3	Blue Jackets	6	4	1	0	0	0	0	1	21	17	4	3	2	0	0	0	0	0	1	11	9	2	3	2	1	0	0	0	0	0	10	8	2	9	0.750	21	38	59	1	0	4	8	9	1	197	68	65	62	5	187	62	40	116	25	4	16.00%	20	2	90.00%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	129	72	126	55	109	56
4	Blues	5	1	4	0	0	0	0	0	12	20	-8	3	1	2	0	0	0	0	0	9	13	-4	2	0	2	0	0	0	0	0	3	7	-4	2	0.200	12	19	31	0	0	8	3	1	0	153	54	42	57	0	168	65	48	95	17	6	35.29%	24	4	83.33%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	103	58	110	48	86	40
5	Bruins	2	0	1	0	0	0	1	0	4	5	-1	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	4	5	9	0	0	1	1	1	1	62	15	30	14	6	53	17	10	42	11	2	18.18%	6	2	66.67%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	43	22	42	20	39	21
6	Canadiens	4	2	1	0	0	0	0	1	14	14	0	2	1	1	0	0	0	0	0	8	8	0	2	1	0	0	0	0	0	1	6	6	0	5	0.625	14	23	37	0	0	2	3	9	0	128	44	33	50	4	132	50	42	81	10	3	30.00%	21	4	80.95%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	84	47	89	37	70	34
7	Canucks	3	1	1	0	0	0	0	1	11	10	1	2	1	1	0	0	0	0	0	7	5	2	1	0	0	0	0	0	0	1	4	5	-1	3	0.500	11	21	32	0	0	2	4	5	0	89	27	24	37	6	82	25	16	58	15	3	20.00%	9	4	55.56%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	66	36	60	28	57	30
8	Capitals	3	1	1	0	0	0	0	1	6	7	-1	1	0	1	0	0	0	0	0	1	3	-2	2	1	0	0	0	0	0	1	5	4	1	3	0.500	6	10	16	0	0	2	2	2	0	86	24	22	39	5	85	22	24	57	13	1	7.69%	12	1	91.67%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	63	31	60	29	60	31
9	Devils	2	0	1	0	0	0	0	1	3	6	-3	1	0	1	0	0	0	0	0	1	3	-2	1	0	0	0	0	0	0	1	2	3	-1	1	0.250	3	3	6	0	0	2	1	0	1	58	17	14	27	3	64	26	16	41	7	0	0.00%	8	2	75.00%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	40	20	47	19	37	18
10	Flames	2	1	1	0	0	0	0	0	9	7	2	1	1	0	0	0	0	0	0	5	1	4	1	0	1	0	0	0	0	0	4	6	-2	2	0.500	9	16	25	0	0	2	4	3	0	59	18	28	13	0	56	21	16	41	11	4	36.36%	8	2	75.00%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	42	23	40	18	36	18
11	Flyers	4	1	2	0	1	0	0	0	8	13	-5	2	1	1	0	0	0	0	0	4	4	0	2	0	1	0	1	0	0	0	4	9	-5	4	0.500	8	15	23	0	0	2	5	0	1	123	53	44	25	1	117	34	58	84	16	1	6.25%	29	6	79.31%	1	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	85	47	82	40	71	33
12	Golden Knights	2	0	0	0	0	2	0	0	8	10	-2	1	0	0	0	0	1	0	0	2	3	-1	1	0	0	0	0	1	0	0	6	7	-1	2	0.500	8	14	22	0	0	0	4	4	0	67	14	25	28	0	75	18	22	37	8	2	25.00%	11	4	63.64%	1	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	41	23	45	19	33	16
13	Islanders	4	3	0	0	0	0	0	1	15	10	5	2	1	0	0	0	0	0	1	8	7	1	2	2	0	0	0	0	0	0	7	3	4	7	0.875	15	22	37	0	0	4	4	7	1	101	31	32	34	8	114	35	43	113	20	4	20.00%	19	1	94.74%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	79	38	86	40	78	40
14	Jets	3	2	1	0	0	0	0	0	10	8	2	2	2	0	0	0	0	0	0	8	4	4	1	0	1	0	0	0	0	0	2	4	-2	4	0.667	10	15	25	1	0	3	2	5	0	87	31	24	32	0	79	25	22	57	17	3	17.65%	11	2	81.82%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	62	33	63	29	54	27
15	Kings	3	0	2	0	1	0	0	0	9	16	-7	2	0	2	0	0	0	0	0	5	13	-8	1	0	0	0	1	0	0	0	4	3	1	2	0.333	9	16	25	0	0	2	5	1	1	85	28	33	21	3	108	49	40	55	13	3	23.08%	20	5	75.00%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	57	29	70	30	56	27
16	Lightning	2	1	0	0	0	1	0	0	6	6	0	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	1	0	0	4	5	-1	3	0.750	6	10	16	0	0	1	0	5	0	63	24	13	26	0	61	26	14	43	9	2	22.22%	7	0	100.00%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	41	23	48	18	34	17
17	Maple Leafs	3	1	0	0	0	0	1	1	12	8	4	1	1	0	0	0	0	0	0	5	1	4	2	0	0	0	0	0	1	1	7	7	0	5	0.833	12	15	27	0	0	1	4	6	1	101	32	31	35	11	92	29	34	52	11	4	36.36%	17	4	76.47%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	65	36	69	30	55	26
18	Oilers	3	1	1	0	1	0	0	0	13	8	5	1	1	0	0	0	0	0	0	6	1	5	2	0	1	0	1	0	0	0	7	7	0	4	0.667	13	21	34	0	0	4	6	2	1	95	28	41	22	4	97	37	24	63	9	1	11.11%	12	2	83.33%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	63	34	64	27	53	26
19	Panthers	2	1	0	0	0	0	1	0	4	2	2	1	1	0	0	0	0	0	0	2	1	1	1	0	0	0	0	0	1	0	2	1	1	4	1.000	4	4	8	0	0	1	1	1	2	58	16	15	26	4	66	20	24	44	3	1	33.33%	12	0	100.00%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	39	20	47	20	37	18
20	Penguins	4	0	2	0	0	0	0	2	10	19	-9	2	0	0	0	0	0	0	2	6	8	-2	2	0	2	0	0	0	0	0	4	11	-7	2	0.250	10	17	27	0	0	1	4	5	0	113	36	27	48	8	136	38	36	79	14	3	21.43%	18	2	88.89%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	80	40	90	39	78	39
21	Predators	6	3	1	0	0	1	1	0	19	15	4	3	1	0	0	0	1	1	0	10	8	2	3	2	1	0	0	0	0	0	9	7	2	9	0.750	19	29	48	0	0	5	2	11	1	185	61	64	58	5	195	59	58	113	27	4	14.81%	30	6	80.00%	1	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	126	68	132	57	106	54
22	Rangers	2	0	0	0	0	0	1	1	8	8	0	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	0	0	1	5	6	-1	3	0.750	8	10	18	0	0	3	2	2	4	65	22	15	26	14	62	17	14	42	9	4	44.44%	7	2	71.43%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	45	23	42	19	41	21
23	Red Wings	3	2	0	0	0	1	0	0	13	11	2	1	0	0	0	0	1	0	0	2	3	-1	2	2	0	0	0	0	0	0	11	8	3	5	0.833	13	21	34	0	0	5	5	3	0	84	31	33	20	0	82	34	26	61	12	3	25.00%	13	4	69.23%	1	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	66	37	61	27	55	27
24	Senateurs	2	2	0	0	0	0	0	0	9	3	6	1	1	0	0	0	0	0	0	6	3	3	1	1	0	0	0	0	0	0	3	0	3	4	1.000	9	15	24	0	1	2	5	2	0	60	14	19	27	0	51	26	16	52	4	2	50.00%	8	2	75.00%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	40	21	43	19	36	17
25	Stars	2	1	1	0	0	0	0	0	7	5	2	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	7	10	17	0	0	0	3	4	0	59	24	20	15	0	59	20	16	33	2	0	0.00%	8	2	75.00%	0	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	41	24	43	18	34	16
	Total	80	32	25	0	3	5	5	10	257	253	4	40	20	10	0	0	3	3	4	132	112	20	40	12	15	0	3	2	2	6	125	141	-16	95	0.594	257	413	670	2	1	67	86	96	15	2404	785	778	811	87	2486	841	731	1614	313	65	20.77%	366	68	81.42%	4	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	1673	901	1747	772	1469	733
	_Since Last GM Reset	80	32	25	0	3	5	5	10	257	253	4	40	20	10	0	0	3	3	4	132	112	20	40	12	15	0	3	2	2	6	125	141	-16	95	0.594	257	413	670	2	1	67	86	96	15	2404	785	778	811	87	2486	841	731	1614	313	65	20.77%	366	68	81.42%	4	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	1673	901	1747	772	1469	733
	_Vs Conference	48	23	13	0	3	2	2	5	161	145	16	23	13	5	0	0	2	1	2	81	65	16	25	10	8	0	3	0	1	3	80	80	0	63	0.656	161	263	424	2	0	42	52	62	7	1449	492	486	450	46	1483	498	463	975	197	34	17.26%	230	41	82.17%	3	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	1009	545	1038	462	876	437
	_Vs Division	18	10	5	0	0	1	1	1	61	50	11	9	6	0	0	0	1	1	1	34	21	13	9	4	5	0	0	0	0	0	27	29	-2	24	0.667	61	105	166	1	0	17	16	27	2	559	190	193	172	10	577	183	150	352	76	11	14.47%	76	12	84.21%	1	905	1830	49.45%	967	1955	49.46%	559	1175	47.57%	380	209	389	168	320	161

			Total Pour les Joueurs
Matchs Joués	Points	Séquence	Buts	Passes	Points	Tirs Pour	Tirs Contre	Tirs Bloqués	Minutes de Pénalité	Mises en Échec	Buts en Filet Désert	Blanchissage
80	95	SOL1	257	413	670	2404	2486	841	731	1614	2	1

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
80	32	25	3	5	5	10	257	253

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	20	10	0	3	3	4	132	112

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
40	12	15	3	2	2	6	125	141

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
5	2	0	0	1	2

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
313	65	20.77%	366	68	81.42%	4

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
785	778	811	87	67	86	96	15

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
905	1830	49.45%	967	1955	49.46%	559	1175	47.57%

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
1673	901	1747	772	1469	733

Derniers Match 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	RI	Lien
2 - 2020-10-10	11	Blackhawks	2	Sharks	8	W				Sommaire du Match
5 - 2020-10-13	25	Sharks	4	Predators	2	W				Sommaire du Match
7 - 2020-10-15	36	Sharks	3	Blackhawks	5	L				Sommaire du Match
9 - 2020-10-17	45	Blue Jackets	3	Sharks	4	W				Sommaire du Match
13 - 2020-10-21	64	Predators	4	Sharks	3	L	X			Sommaire du Match
17 - 2020-10-25	81	Blues	5	Sharks	1	L				Sommaire du Match
21 - 2020-10-29	105	Islanders	2	Sharks	1	L	X	X		Sommaire du Match
22 - 2020-10-30	108	Sharks	5	Blue Jackets	3	W				Sommaire du Match
26 - 2020-11-03	130	Sharks	7	Red Wings	5	W				Sommaire du Match
27 - 2020-11-04	137	Jets	1	Sharks	4	W				Sommaire du Match
31 - 2020-11-08	157	Blackhawks	1	Sharks	3	W				Sommaire du Match
33 - 2020-11-10	172	Sharks	1	Canadiens	2	L	X	X		Sommaire du Match
34 - 2020-11-11	182	Flyers	2	Sharks	3	W			R1	Sommaire du Match
36 - 2020-11-13	192	Sharks	2	Capitals	3	L	X	X		Sommaire du Match
39 - 2020-11-16	209	Blackhawks	1	Sharks	2	W				Sommaire du Match
42 - 2020-11-19	220	Sharks	4	Lightning	5	L	X			Sommaire du Match
44 - 2020-11-21	231	Sharks	3	Stars	4	L				Sommaire du Match
46 - 2020-11-23	241	Islanders	5	Sharks	7	W				Sommaire du Match
50 - 2020-11-27	261	Lightning	1	Sharks	2	W				Sommaire du Match
54 - 2020-12-01	282	Sharks	1	Blues	4	L				Sommaire du Match
55 - 2020-12-02	289	Avalanche	5	Sharks	2	L				Sommaire du Match
61 - 2020-12-08	313	Oilers	1	Sharks	6	W				Sommaire du Match
63 - 2020-12-10	324	Sharks	2	Maple Leafs	3	L	X	X		Sommaire du Match
65 - 2020-12-12	339	Devils	3	Sharks	1	L				Sommaire du Match
70 - 2020-12-17	365	Golden Knights	3	Sharks	2	L	X			Sommaire du Match
73 - 2020-12-20	380	Sharks	5	Canadiens	4	W				Sommaire du Match
75 - 2020-12-22	390	Rangers	2	Sharks	3	W	X	X		Sommaire du Match
77 - 2020-12-24	403	Sharks	4	Flames	6	L				Sommaire du Match
79 - 2020-12-26	413	Sharks	1	Flyers	7	L			R1	Sommaire du Match
80 - 2020-12-27	418	Flames	1	Sharks	5	W				Sommaire du Match
85 - 2021-01-01	443	Red Wings	3	Sharks	2	L	X			Sommaire du Match
87 - 2021-01-03	450	Sharks	5	Maple Leafs	4	W	X	X		Sommaire du Match
91 - 2021-01-07	469	Stars	1	Sharks	4	W				Sommaire du Match
93 - 2021-01-09	481	Sharks	4	Canucks	5	L	X	X		Sommaire du Match
96 - 2021-01-12	495	Jets	3	Sharks	4	W				Sommaire du Match
100 - 2021-01-16	517	Sharks	2	Blackhawks	5	L				Sommaire du Match
101 - 2021-01-17	521	Panthers	1	Sharks	2	W				Sommaire du Match
104 - 2021-01-20	535	Sharks	6	Golden Knights	7	L	X			Sommaire du Match
106 - 2021-01-22	545	Sharks	4	Kings	3	W	X		R1	Sommaire du Match
107 - 2021-01-23	548	Blue Jackets	4	Sharks	3	L	X	X		Sommaire du Match
111 - 2021-01-27	569	Sharks	3	Blackhawks	4	L				Sommaire du Match
112 - 2021-01-28	574	Predators	2	Sharks	4	W				Sommaire du Match
117 - 2021-02-02	599	Senateurs	3	Sharks	6	W				Sommaire du Match
120 - 2021-02-05	613	Sharks	3	Senateurs	0	W				Sommaire du Match
123 - 2021-02-08	625	Blue Jackets	2	Sharks	4	W				Sommaire du Match
126 - 2021-02-11	639	Sharks	2	Predators	3	L				Sommaire du Match
128 - 2021-02-13	650	Blues	6	Sharks	4	L				Sommaire du Match
130 - 2021-02-15	659	Sharks	2	Penguins	7	L				Sommaire du Match
133 - 2021-02-18	676	Canadiens	5	Sharks	3	L				Sommaire du Match
135 - 2021-02-20	688	Sharks	3	Predators	2	W				Sommaire du Match
137 - 2021-02-22	701	Sharks	4	Oilers	3	W	X			Sommaire du Match
138 - 2021-02-23	706	Blues	2	Sharks	4	W				Sommaire du Match
142 - 2021-02-27	726	Sharks	3	Capitals	1	W				Sommaire du Match
143 - 2021-02-28	732	Penguins	3	Sharks	2	L	X	X		Sommaire du Match
147 - 2021-03-04	754	Sharks	3	Oilers	4	L				Sommaire du Match
148 - 2021-03-05	758	Bruins	1	Sharks	2	W	X	X		Sommaire du Match
151 - 2021-03-08	781	Flyers	2	Sharks	1	L			R1	Sommaire du Match
154 - 2021-03-11	792	Sharks	2	Blues	3	L				Sommaire du Match
156 - 2021-03-13	807	Canadiens	3	Sharks	5	W				Sommaire du Match
158 - 2021-03-15	818	Sharks	3	Islanders	2	W				Sommaire du Match
160 - 2021-03-17	833	Penguins	5	Sharks	4	L	X	X		Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
162 - 2021-03-19	842	Sharks	2	Bruins	4	L				Sommaire du Match
165 - 2021-03-22	859	Kings	6	Sharks	2	L			R1	Sommaire du Match
168 - 2021-03-25	873	Sharks	2	Jets	4	L				Sommaire du Match
169 - 2021-03-26	885	Sharks	2	Panthers	1	W	X	X		Sommaire du Match
170 - 2021-03-27	887	Canucks	1	Sharks	4	W				Sommaire du Match
174 - 2021-03-31	911	Capitals	3	Sharks	1	L				Sommaire du Match
175 - 2021-04-01	919	Sharks	2	Penguins	4	L				Sommaire du Match
178 - 2021-04-04	928	Sharks	3	Flyers	2	W	X		R1	Sommaire du Match
179 - 2021-04-05	937	Sharks	2	Blue Jackets	4	L				Sommaire du Match
180 - 2021-04-06	940	Canucks	4	Sharks	3	L				Sommaire du Match
182 - 2021-04-08	953	Sharks	2	Devils	3	L	X	X		Sommaire du Match
184 - 2021-04-10	964	Maple Leafs	1	Sharks	5	W				Sommaire du Match
186 - 2021-04-12	977	Sharks	3	Avalanche	2	W				Sommaire du Match
190 - 2021-04-16	990	Predators	2	Sharks	3	W	X	X		Sommaire du Match
192 - 2021-04-18	1000	Sharks	4	Red Wings	3	W				Sommaire du Match
193 - 2021-04-19	1008	Sharks	4	Islanders	1	W				Sommaire du Match
194 - 2021-04-20	1015	Sharks	3	Blue Jackets	1	W				Sommaire du Match
197 - 2021-04-23	1025	Kings	7	Sharks	3	L			R1	Sommaire du Match
198 - 2021-04-24	1036	Sharks	5	Rangers	6	L	X	X		Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité	6000	5000	2000	4000	1000
Prix des Billets	115	75	50	30	210
Assistance	179,949	147,423	55,800	131,065	30,134
Attendance PCT	74.98%	73.71%	69.75%	81.92%	75.34%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	13609 - 75.61%	1,288,027$	51,521,094$	18000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
55,973,550$	55,649,999$	52,699,999$	0$	0$

Cap Salarial Par Jour	Cap salarial à ce jour	Taxe de Luxe Totale	Joueurs Inclut dans la Cap Salariale	Joueurs Exclut dans la Cap Salariale
267,250$	55,119,800$	6,180,322$	21	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	282,050$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	7,829,778$	7,829,778$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
55,119,800$	880,200$	56,000,000$	22,119,800$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Brandon Dubinsky	AGE:29	PO:24	OV:74
Milan Michalek	AGE:31	PO:21	OV:74
Mike Cammalleri	AGE:33	PO:16	OV:74
Zach Boychuk	AGE:26	PO:33	OV:72
Jordan LaVallee	AGE:29	PO:20	OV:70
Billy Sweat	AGE:27	PO:27	OV:67
William Carrier (R)	AGE:21	PO:47	OV:65
Logan MacMillan	AGE:26	PO:26	OV:65
Phil Di Giuseppe (R)	AGE:22	PO:47	OV:64
Cole Ully (R)	AGE:20	PO:55	OV:59
Alex Henriksson (R)	AGE:20	PO:50	OV:58

Jason Spezza	AGE:32	PO:21	OV:78
T.J. Hensick	AGE:30	PO:22	OV:73
Luke Adam	AGE:25	PO:36	OV:71
Boone Jenner (R)	AGE:22	PO:56	OV:70
Corban Knight (R)	AGE:25	PO:36	OV:70
Sam Carrick (R)	AGE:23	PO:42	OV:66
Emil Pettersson (R)	AGE:21	PO:45	OV:62
Theodor Blueger (R)	AGE:21	PO:49	OV:59

Nick Palmieri	AGE:26	PO:32	OV:76
Oskar Osala	AGE:28	PO:26	OV:73
Bobby Butler	AGE:28	PO:27	OV:72
Jiri Tlusty	AGE:27	PO:29	OV:71
Brandon Kozun (R)	AGE:25	PO:31	OV:65
Justin Shugg (R)	AGE:23	PO:40	OV:61
Chris Wagner (R)	AGE:24	PO:31	OV:60
Juho Lammikko (R)	AGE:19	PO:58	OV:59
Mario Lucia (R)	AGE:22	PO:43	OV:59
Thomas Gobeil (R)	AGE:21	PO:47	OV:54

Défense #1

Défense #2

Gardien

Drew Doughty	AGE:26	PO:42	OV:83
PK Subban	AGE:26	PO:35	OV:78
Tyler Cuma	AGE:25	PO:37	OV:77
Karl Alzner	AGE:27	PO:31	OV:76
Andrej Sekera	AGE:29	PO:23	OV:76
David Rundblad	AGE:25	PO:36	OV:73
Brayden McNabb (R)	AGE:24	PO:43	OV:72
Kevin Connauton (R)	AGE:25	PO:36	OV:71

Zach Trotman (R)	AGE:25	PO:36	OV:70
Luca Sbisa (R)	AGE:25	PO:36	OV:67
Samuel Groulx (R)	AGE:25	PO:32	OV:67
David Shields (R)	AGE:24	PO:32	OV:64
Alex Plante	AGE:26	PO:26	OV:64
Jerome Gauthier-Leduc (R)	AGE:23	PO:36	OV:61
Robin Norell (R)	AGE:20	PO:48	OV:60
Alex Lintuniemi (R)	AGE:19	PO:68	OV:54

Ryan Miller	AGE:35	PO:15	OV:79
Antti Niemi	AGE:32	PO:19	OV:76
Chet Pickard	AGE:24	PO:31	OV:73
Joacim Eriksson	AGE:25	PO:30	OV:64
Brandon Halverson	AGE:19	PO:65	OV:62
Oscar Dansk	AGE:21	PO:49	OV:59

Éspoirs

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

Éspoir	Nom de l'Équipe	Année de Repêchage	Choix Total	Information	Lien

Choix au Repêchage

Année	R1	R2	R3	R4	R5
14
15
16
17
18

Excellente saison régulière qui se termine pour l'organisation des Sharks : )

Par Roland Roberge (Sharks) Le Thursday 13th May 2021 / 3:54am

Hors des série, il y a 2 saisons, puis titre de Division l'an dernier pour finalement finir 2e de la Conférence dans une lutte qui s'est jouée à la 80e partie!....

Belle progression pour les Sharks ainsi que leur club école les IceDragon ( renommé Barracuda suite au réajustement de la ligue Farm ) avec un titre de Conférence.

Maintenant les séries.. Bonne chance aux Leafs et que le meilleur gagne ..selon le simulateur :P

Voir commentaires (2)

François Prevost (

Blues) Le 13th May / 11:13am :

Tjrs plaisant de voir d'autres clubs réussir à progresser!

Bonne chance aux Sharks

Frédéric Lalancette (

Kings) Le 14th May / 3:17pm :

Et toujours plaisant de voir un autre DG mettre de la vie. Bravo pour la saison des Sharks et pour l'article Roland! Bonne chance pour la série!

Nouveau Commentaire

[2021-05-07 8:01:35 PM] - New Record for Team's Most Shots Blocked (24) in 1 Game for Sharks!
[2021-04-20 7:28:10 PM] - Team Name Change : Ice Dragons changed name to Barracuda
[2021-03-04 7:36:56 PM] - TRADE : From Sharks to Canucks : Y:15-RND:2-SJS.
[2021-03-04 7:36:56 PM] - TRADE : From Canucks to Sharks : Y:14-RND:2-SJS.
[2021-03-03 7:24:38 PM] - TRADE : From Sharks to Canucks : Y:14-RND:2-SJS.
[2021-03-03 7:24:38 PM] - TRADE : From Canucks to Sharks : Brandon Halverson (62).
[2021-01-22 7:02:26 PM] - TRADE : From Sharks to Blues : Adam Clendening (65).
[2021-01-22 7:02:26 PM] - TRADE : From Blues to Sharks : Alex Lintuniemi (54).
[2021-01-22 7:01:37 PM] - TRADE : From Sharks to Blues : Adam Clendening (65).
[2021-01-22 7:01:37 PM] - TRADE : From Blues to Sharks : Alex Lintuniemi (54).
[2020-12-30 9:02:28 PM] - TRADE : From Sharks to Kings : Tyler Weiman (76), Joni Pitkanen (77).
[2020-12-30 9:02:28 PM] - TRADE : From Kings to Sharks : Karl Alzner (76), Antti Niemi (76).
[2020-12-09 7:09:20 PM] - Luca Sbisa signed with Sharks for $650,000 for 1 year(s).
[2020-12-09 7:09:19 PM] - Luca Sbisa was added to Sharks.
[2020-11-11 7:49:34 AM] - David Shields signed with Sharks for $500,000 for 1 year(s).
[2020-11-11 7:49:34 AM] - David Shields was added to Sharks.
[2020-10-15 6:49:38 PM] - TRADE : From Kings to Sharks : PK Subban (78), Joni Pitkanen (77).
[2020-10-15 6:49:38 PM] - TRADE : From Sharks to Kings : Adam Larsson (76), Dennis Wideman (76).
[2020-10-09 7:08:46 PM] - Harru Sateri was released.
[2020-10-09 7:08:46 PM] - Sharks paid $0 to release Harru Sateri.
[2020-10-09 6:59:16 PM] - TRADE : From Blues to Sharks : Y:18-RND:3-STL.
[2020-10-09 6:59:16 PM] - TRADE : From Sharks to Blues : Anders Nilsson (71), Y:18-RND:2-SJS.
[2020-10-09 6:52:26 PM] - Mario Lucia signed with Sharks for $250,000 for 4 year(s).
[2020-10-09 6:52:26 PM] - Mario Lucia was added to Sharks.
[2020-10-08 7:03:22 PM] - Jordan LaVallee is no longer as assistant for Ice Dragons.
[2020-10-08 7:01:51 PM] - Joacim Eriksson signed with Sharks for $500,000 for 1 year(s).
[2020-10-08 7:01:51 PM] - Joacim Eriksson was added to Sharks.
[2020-10-08 7:01:38 PM] - Tyler Weiman signed with Sharks for $700,000 for 2 year(s).
[2020-10-08 7:01:38 PM] - Tyler Weiman was added to Sharks.
[2020-10-06 7:36:24 PM] - Chet Pickard signed with Sharks for $995,000 for 2 year(s).
[2020-10-06 7:36:24 PM] - Chet Pickard was added to Sharks.

[2021-05-11 7:05:58 PM] Barracuda lines for next game are empty. Current rosters/lines are not erased.
[2021-05-11 7:05:57 PM] Sam Carrick from Barracuda has scored a Hat Trick!
[2021-05-07 8:01:37 PM] Barracuda lines for next game are empty. Current rosters/lines are not erased. But, Sharks lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2021-05-07 8:01:35 PM] New Record for Team's Most Shots Blocked (24) in 1 Game for Sharks!
[2021-05-04 8:20:18 PM] Jiri Tlusty from Sharks is back from Broken Ribs Injury.
[2021-05-04 8:20:18 PM] Barracuda lines for next game are empty. Current rosters/lines are not erased. But, Sharks lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2021-05-03 9:55:31 PM] Successfully loaded Sharks lines done with STHS Client - 3.2.7.7
[2021-04-28 7:25:46 PM] Successfully loaded Sharks lines done with STHS Client - 3.2.7.7
[2021-04-28 7:25:46 PM] Chet Pickard of Sharks was sent to farm.
[2021-04-28 7:25:46 PM] Phil Di Giuseppe of Sharks was sent to pro.
[2021-04-27 7:31:10 PM] Auto Lines Function has been run for Barracuda.
[2021-04-27 7:31:10 PM] Auto Roster Farm Only Function has been run for Sharks.
[2021-04-26 7:18:48 PM] Kevin Connauton of Sharks was sent to farm.
[2021-04-26 7:18:33 PM] Auto Lines Function has been run for Sharks.
[2021-04-26 7:18:33 PM] Auto Roster Partial Function has been run for Sharks.
[2021-04-26 7:18:33 PM] Kevin Connauton of Sharks was sent to pro.
[2021-04-24 9:23:20 PM] Game 964 - Brandon Dubinsky from Sharks is injured (Upper Body) and is out for 2 months.
[2021-04-22 7:10:10 PM] Chet Pickard of Sharks was sent to pro.
[2021-04-22 7:09:22 PM] Auto Lines Function has been run for Barracuda.
[2021-04-22 7:09:22 PM] Auto Lines Function has been run for Sharks.
[2021-04-22 7:09:22 PM] Auto Roster Partial Function has been run for Sharks.
[2021-04-19 7:23:07 PM] Auto Lines Function has been run for Sharks.
[2021-04-19 7:23:00 PM] Chet Pickard of Sharks was sent to farm.
[2021-04-18 7:19:47 PM] Successfully loaded Sharks lines done with STHS Client - 3.2.7.7
[2021-04-18 7:19:47 PM] Chet Pickard of Sharks was sent to pro.
[2021-04-16 7:01:27 PM] Ryan Miller from Sharks is back from Exhaustion.
[2021-04-15 7:15:09 PM] Ryan Miller from Sharks injured (Exhaustion)
[2021-04-15 7:14:17 PM] Auto Roster Partial Function has been run for Sharks.
[2021-04-10 9:02:45 PM] Auto Roster Partial Function has been run for Sharks.
[2021-04-09 7:15:01 PM] Auto Roster Partial Function has been run for Sharks.
[2021-04-06 7:01:51 PM] Successfully loaded Sharks lines done with STHS Client - 3.2.8.8
[2021-04-05 7:46:35 PM] Sharks lines for next game are empty. Current rosters/lines are not erased. But, Ice Dragons lines for next game are NOT empty. Current farm rosters/lines are moved and might impact pro rosters/lines.
[2021-04-05 7:46:24 PM] Auto Lines Function has been run for Sharks.
[2021-04-05 7:46:24 PM] Auto Roster Partial Function has been run for Sharks.

Brandon Dubinsky est dehors pour 1 semaine à cause de Upper Body Injury.

Afficher ou Masquer des Colonnes

	Ligue											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

	Sharks
	GP: 80 \| W: 40 \| L: 25 \| OTL: 15 \| P: 95 GF: 257 \| GA: 253 \| PP%: 20.77% \| PK%: 81.42% DG: Roland Roberge \| Morale : 35 \| Moyenne d'Équipe : 74