Ligue Canadienne de Hockey Simulé

Sharks
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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
1	Max Pacioretty		X			100.00	77	41	71	79	79	94	91	99	77	97	99	87	99	87	85	49	68	86	0
2	Brandon Dubinsky	X				100.00	86	43	81	74	77	85	80	83	97	99	99	96	99	89	93	30	67	84	0
3	Ryan Callahan			X		100.00	79	42	78	75	73	99	95	98	71	77	84	99	85	94	97	6	64	83	0
4	Sean Couturier	X				100.00	67	42	93	90	81	96	98	90	84	80	84	97	78	83	64	83	68	82	0
5	Mats Zuccarello			X		100.00	59	35	90	82	70	87	93	89	67	90	93	92	89	85	94	68	71	82	0
6	Mark Letestu			X		100.00	42	30	99	62	74	96	97	98	96	84	86	88	85	77	78	4	68	79	0
7	Robert Nilsson		X			100.00	9	1	99	64	73	99	99	91	53	96	85	93	81	80	90	32	68	79	0
8	Boone Jenner		X			100.00	82	53	77	80	77	85	86	72	83	80	90	86	82	75	73	71	68	78	0
9	Anton Lander (R)	X				100.00	94	52	63	64	76	72	74	89	76	99	83	73	75	72	77	56	65	77	0
10	Jan Hlavac			X		100.00	26	1	99	63	75	99	99	77	41	77	73	78	73	99	99	25	68	73	0
11	Marcus Foligno		X			100.00	84	45	68	71	87	77	93	69	67	69	64	76	66	66	60	52	68	70	0
12	Jay McClement	X				100.00	51	33	99	69	76	71	91	63	90	59	59	84	75	86	99	14	68	69	0
13	Dennis Seidenberg				X	100.00	73	43	79	70	77	94	93	96	51	74	75	99	73	99	96	1	68	82	0
14	Jacob Trouba				X	100.00	74	43	86	83	74	91	89	78	25	79	74	99	56	79	72	79	65	80	0
15	Tom Gilbert				X	100.00	10	1	99	62	80	95	99	99	62	97	99	99	99	87	99	29	68	80	0
16	Braydon Coburn				X	100.00	68	43	80	69	89	79	89	78	30	68	67	91	63	84	78	52	68	76	0
17	Dmitry Orlov (R)				X	100.00	75	41	91	72	73	93	97	76	30	72	78	81	70	77	65	60	68	75	0
18	Steve Oleksy				X	100.00	62	55	53	66	73	85	88	90	63	86	82	80	80	79	81	12	68	75	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	62	36	84	72	77	89	92	85	65	82	82	89	79	83	83	40	68	78

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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	Corey Crawford	100.00	85	92	96	86	89	99	98	98	98	92	93	99	99	19	68	92	0
2	Scott Darling	100.00	80	85	85	94	86	93	92	94	99	80	80	77	73	64	68	86	0
Rayé

	MOYENNE D'ÉQUIPE	100.00	83	89	91	90	88	96	95	96	99	86	87	88	86	42	68	89

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Peter DeBoer	77	72	69	78	84	70	70	CAN	50	1	2,400,000$

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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	FW	FL	FT	S1	S2	S3
1	Max Pacioretty	Sharks	LW	82	42	45	87	-8	87	5	194	172	365	88	214	11.51%	50	1798	21.93	20	17	37	73	285	1	3	4	8	216	6	6	46.98%	464	62	29	0	2	0.97	3	17	0	0	1	6	5	8
2	Sean Couturier	Sharks	C	82	19	40	59	-3	14	0	213	207	315	90	209	6.03%	30	1571	19.17	3	7	10	24	217	0	0	0	5	96	1	2	48.17%	1613	66	32	0	0	0.75	1	1	0	0	0	4	5	7
3	Robert Nilsson	Sharks	LW	82	19	34	53	-2	6	0	21	102	224	74	126	8.48%	26	1443	17.60	4	6	10	17	217	0	0	0	0	0	3	2	51.19%	84	20	17	0	0	0.73	0	0	0	0	0	1	3	2
4	Ryan Callahan	Sharks	RW	82	18	34	52	-15	77	5	209	126	237	80	150	7.59%	37	1575	19.22	9	17	26	36	272	0	0	0	4	61	2	1	54.10%	122	43	25	0	1	0.66	5	9	0	0	0	3	6	1
5	Brandon Dubinsky	Sharks	C	82	19	30	49	-14	22	0	192	224	211	61	120	9.00%	44	1731	21.12	4	17	21	30	217	3	1	4	6	240	1	1	52.30%	2065	27	27	0	0	0.57	4	17	0	0	0	2	3	5
6	Mats Zuccarello	Sharks	RW	83	18	23	41	-4	20	0	100	102	186	54	118	9.68%	21	1127	13.59	2	10	12	28	146	0	0	0	2	59	5	1	39.24%	79	34	15	0	0	0.73	3	4	0	0	0	3	2	3
7	Anton Lander	Sharks	C	76	14	25	39	3	65	5	144	108	169	56	102	8.28%	31	1069	14.07	0	4	4	7	68	0	0	0	0	110	4	1	46.97%	792	24	11	0	0	0.73	0	0	0	1	0	3	0	2
8	Tom Gilbert	Sharks	D	82	9	23	32	12	0	0	2	180	164	67	58	5.49%	116	1941	23.68	5	8	13	19	267	0	0	0	2	228	2	0	0.00%	0	37	46	0	0	0.33	0	0	0	0	0	0	1	2
9	Mark Letestu	Sharks	RW	82	15	16	31	7	0	0	22	81	193	67	119	7.77%	29	986	12.03	1	1	2	1	8	0	0	0	1	5	2	2	60.00%	110	25	11	0	0	0.63	0	0	0	0	0	2	1	2
10	Jacob Trouba	Sharks	D	82	7	23	30	-23	26	0	136	168	112	45	44	6.25%	93	1804	22.01	4	8	12	19	239	0	0	0	4	198	2	0	0.00%	0	29	51	0	0	0.33	0	0	0	0	0	2	0	1
11	Dennis Seidenberg	Sharks	D	82	9	21	30	18	72	0	171	142	112	54	53	8.04%	111	2013	24.55	6	7	13	18	319	0	2	2	2	231	0	0	0.00%	0	19	61	0	0	0.30	0	0	0	0	0	2	1	3
12	Boone Jenner	Sharks	LW	82	8	12	20	5	20	0	141	89	133	42	78	6.02%	20	1038	12.67	0	0	0	0	6	0	0	0	1	69	0	0	48.89%	45	22	19	1	0	0.39	0	0	0	0	0	1	0	2
13	Braydon Coburn	Sharks	D	82	2	15	17	-4	46	0	144	119	83	29	30	2.41%	90	1677	20.45	0	0	0	2	128	0	0	0	1	152	0	0	0.00%	0	15	54	0	0	0.20	0	0	0	0	0	0	0	0
14	Steve Oleksy	Sharks	D	82	4	7	11	-29	96	10	106	98	77	34	36	5.19%	72	1257	15.33	0	1	1	0	0	0	0	0	2	57	0	0	0.00%	0	19	32	0	0	0.17	0	0	1	0	0	0	0	0
15	Dmitry Orlov	Sharks	D	82	2	8	10	-3	8	0	94	119	75	29	30	2.67%	73	1341	16.35	1	0	1	1	66	0	0	0	0	16	1	0	0.00%	0	14	33	0	0	0.15	0	0	0	0	0	0	0	2
16	Jan Hlavac	Sharks	RW	82	5	4	9	-7	0	0	6	38	104	35	57	4.81%	16	603	7.36	0	1	1	0	4	0	0	0	0	0	1	1	16.67%	12	13	14	0	0	0.30	0	0	0	0	0	0	0	1
17	Jay McClement	Sharks	C	82	3	4	7	-8	0	0	19	59	26	8	11	11.54%	12	537	6.56	0	0	0	0	0	0	0	0	0	5	0	0	49.77%	221	0	7	0	0	0.26	0	0	0	0	0	0	0	0
18	Marcus Foligno	Sharks	LW	82	3	2	5	-6	14	0	104	34	60	24	39	5.00%	11	544	6.64	0	0	0	0	0	0	0	0	0	8	1	0	20.00%	10	5	1	0	0	0.18	0	0	0	0	0	0	0	1
19	Joakim Andersson	Sharks (SJ )	C	6	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0.32	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	0	0
Stats d'équipe Total ou en Moyenne				1477	216	366	582	-81	573	25	2018	2168	2846	937	1594	7.59%	882	24066	16.29	59	104	163	275	2467	4	6	10	38	1761	31	17	49.65%	5617	474	485	1	3	0.48	16	48	1	1	1	29	27	42

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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	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Corey Crawford	Sharks	77	38	30	8	0.923	2.56	4611	8	197	2575	1017	2	2	0.756	45	76	6	7	11	6
2	Scott Darling	Sharks	8	4	2	0	0.915	2.90	393	0	19	224	105	1	0	1.000	2	6	76	2	1	0
Stats d'équipe Total ou en Moyenne			85	42	32	8	0.923	2.59	5004	8	216	2799	1122	3	2	0.766	47	82	82	9	12	6

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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	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Status	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial
Anton Lander	Sharks	C	28	1991-04-24 11:11:13	Yes	203 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	0$	No
Boone Jenner	Sharks	LW	25	1993-06-15 11:11:13	No	213 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	3,000,000$	3,000,000$	0$	No
Brandon Dubinsky	Sharks	C	32	1986-04-29 17:11:13	No	205 Lbs	6 ft2	No	No	No	3	Sans Restriction	Pro & Farm	5,500,000$	5,500,000$	0$	No
Braydon Coburn	Sharks	D	34	1985-02-27 11:11:13	No	223 Lbs	6 ft5	No	No	No	1	Sans Restriction	Pro & Farm	2,500,000$	2,500,000$	0$	No
Corey Crawford	Sharks	G	34	1984-12-28 05:11:14	No	198 Lbs	6 ft2	No	No	No	2	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	0$	No
Dennis Seidenberg	Sharks	D	37	1981-07-18 11:11:13	No	215 Lbs	6 ft1	No	No	No	3	Sans Restriction	Pro & Farm	5,000,000$	5,000,000$	0$	No
Dmitry Orlov	Sharks	D	27	1991-07-23 17:11:13	Yes	216 Lbs	6 ft0	No	No	No	3	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	0$	No
Jacob Trouba	Sharks	D	25	1994-02-26 17:11:13	No	192 Lbs	6 ft2	No	No	No	2	Avec Restriction	Pro & Farm	4,000,000$	4,000,000$	0$	No
Jan Hlavac	Sharks	RW	42	1976-09-20 05:11:13	No	203 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	1,000,000$	1,000,000$	0$	No
Jay McClement	Sharks	C	36	1983-03-02 23:11:13	No	207 Lbs	6 ft1	No	No	No	2	Sans Restriction	Pro & Farm	900,000$	900,000$	0$	No
Marcus Foligno	Sharks	LW	27	1991-08-10 17:11:13	No	220 Lbs	6 ft2	No	No	No	3	Avec Restriction	Pro & Farm	1,000,000$	1,000,000$	0$	No
Mark Letestu	Sharks	RW	34	1985-02-04 11:11:13	No	205 Lbs	5 ft11	No	No	No	1	Sans Restriction	Pro & Farm	3,000,000$	3,000,000$	0$	No
Mats Zuccarello	Sharks	RW	31	1987-09-01 23:11:13	No	187 Lbs	5 ft7	No	No	No	3	Sans Restriction	Pro & Farm	3,250,000$	3,250,000$	0$	No
Max Pacioretty	Sharks	LW	30	1988-11-20 05:11:13	No	216 Lbs	6 ft2	No	No	No	1	Avec Restriction	Pro & Farm	5,500,000$	5,500,000$	0$	No
Robert Nilsson	Sharks	LW	34	1985-01-10 11:11:13	No	201 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	0$	No
Ryan Callahan	Sharks	RW	34	1985-03-21 11:11:13	No	196 Lbs	5 ft11	No	No	No	2	Sans Restriction	Pro & Farm	4,500,000$	4,500,000$	0$	No
Scott Darling	Sharks	G	30	1988-12-22 05:11:14	No	232 Lbs	6 ft6	No	No	No	1	Avec Restriction	Pro & Farm	2,000,000$	2,000,000$	0$	No
Sean Couturier	Sharks	C	26	1992-12-07 23:11:13	No	205 Lbs	6 ft3	No	No	No	3	Avec Restriction	Pro & Farm	5,000,000$	5,000,000$	0$	No
Steve Oleksy	Sharks	D	33	1986-02-04 17:11:13	No	192 Lbs	6 ft0	No	No	No	2	Sans Restriction	Pro & Farm	1,750,000$	1,750,000$	0$	No
Tom Gilbert	Sharks	D	36	1983-01-10 23:11:13	No	218 Lbs	6 ft3	No	No	No	2	Sans Restriction	Pro & Farm	3,500,000$	3,500,000$	0$	No

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
20	31.75	207 Lbs	6 ft1	2.15	3,195,000$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
63,900,000$	50,900,000$	23,750,000$	0$	0$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Max Pacioretty	Brandon Dubinsky	Ryan Callahan	35	1	2	2
2	Robert Nilsson	Sean Couturier	Mats Zuccarello	35	1	2	2
3	Boone Jenner	Anton Lander	Mark Letestu	25	1	2	2
4	Marcus Foligno	Jay McClement	Jan Hlavac	5	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Seidenberg	Tom Gilbert	35	1	2	2
2	Jacob Trouba	Braydon Coburn	35	1	2	2
3	Dmitry Orlov	Steve Oleksy	30	1	2	2
4	Dennis Seidenberg	Tom Gilbert	0	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Max Pacioretty	Brandon Dubinsky	Ryan Callahan	60	1	2	2
2	Robert Nilsson	Sean Couturier	Mats Zuccarello	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Seidenberg	Tom Gilbert	60	1	2	2
2	Jacob Trouba	Dmitry Orlov	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Max Pacioretty	Brandon Dubinsky	60	1	2	2
2	Ryan Callahan	Mats Zuccarello	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Seidenberg	Tom Gilbert	60	1	2	2
2	Jacob Trouba	Braydon Coburn	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Max Pacioretty	60	1	2	2	Dennis Seidenberg	Tom Gilbert	60	1	2	2
2	Brandon Dubinsky	40	1	2	2	Jacob Trouba	Braydon Coburn	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Max Pacioretty	Brandon Dubinsky	60	1	2	2
2	Ryan Callahan	Mats Zuccarello	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Dennis Seidenberg	Tom Gilbert	60	1	2	2
2	Jacob Trouba	Braydon Coburn	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Max Pacioretty	Brandon Dubinsky	Ryan Callahan	Dennis Seidenberg	Tom Gilbert

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Max Pacioretty	Brandon Dubinsky	Ryan Callahan	Dennis Seidenberg	Tom Gilbert

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Mark Letestu, Boone Jenner, Anton Lander	Mark Letestu, Boone Jenner	Anton Lander

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Dmitry Orlov, Steve Oleksy, Jacob Trouba	Dmitry Orlov	Steve Oleksy, Jacob Trouba

Tirs de Pénalité
Max Pacioretty, Brandon Dubinsky, Ryan Callahan, Mats Zuccarello, Sean Couturier

Gardien
#1 : Scott Darling, #2 : Corey Crawford

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	4	3	0	0	0	0	0	1	11	8	3	2	2	0	0	0	0	0	0	7	4	3	2	1	0	0	0	0	0	1	4	4	0	7	0.875	11	18	29	0	0	3	5	3	1	139	57	40	40	5	127	40	38	102	25	3	12.00%	19	3	84.21%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	91	51	82	36	70	37
2	Blackhawks	4	1	2	0	0	0	1	0	10	11	-1	2	0	1	0	0	0	1	0	7	7	0	2	1	1	0	0	0	0	0	3	4	-1	4	0.500	10	18	28	0	0	4	5	0	2	144	49	52	38	7	131	39	22	98	12	3	25.00%	11	4	63.64%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	92	59	85	34	66	33
3	Blues	5	4	0	0	0	0	1	0	22	11	11	3	2	0	0	0	0	1	0	12	8	4	2	2	0	0	0	0	0	0	10	3	7	10	1.000	22	36	58	0	0	5	4	12	1	174	62	50	60	5	181	60	26	114	14	6	42.86%	13	1	92.31%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	103	62	118	43	82	40
4	Bruins	2	1	0	0	0	0	0	1	8	7	1	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	0	0	1	3	4	-1	3	0.750	8	15	23	0	0	3	1	4	0	69	25	24	19	3	70	19	14	56	7	0	0.00%	7	1	85.71%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	45	27	45	18	34	17
5	Canadiens	2	0	1	0	0	0	1	0	6	6	0	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	4	5	-1	2	0.500	6	8	14	0	0	0	2	3	1	76	22	25	29	3	68	29	12	42	5	1	20.00%	6	2	66.67%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	43	26	46	17	34	17
6	Canucks	6	2	2	0	0	0	1	1	19	23	-4	3	1	1	0	0	0	1	0	11	13	-2	3	1	1	0	0	0	0	1	8	10	-2	7	0.583	19	35	54	0	0	4	10	4	2	232	70	91	62	15	190	77	48	141	36	11	30.56%	24	3	87.50%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	143	86	125	53	100	52
7	Capitals	2	2	0	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	3	2	1	1	1	0	0	0	0	0	0	4	1	3	4	1.000	7	9	16	0	0	1	1	5	0	65	19	19	27	0	66	21	18	55	6	2	33.33%	9	0	100.00%	1	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	40	22	44	18	35	18
8	Devils	2	0	0	0	0	1	1	0	6	6	0	1	0	0	0	0	0	1	0	3	2	1	1	0	0	0	0	1	0	0	3	4	-1	3	0.750	6	7	13	0	0	1	2	2	1	62	25	26	10	3	74	23	6	50	5	1	20.00%	3	1	66.67%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	44	26	48	17	35	17
9	Ducks	6	2	2	0	0	0	1	1	16	13	3	3	2	1	0	0	0	0	0	9	5	4	3	0	1	0	0	0	1	1	7	8	-1	7	0.583	16	26	42	0	0	2	8	5	2	207	67	70	68	8	203	66	52	171	26	5	19.23%	26	7	73.08%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	134	77	132	55	103	51
10	Flames	6	2	3	0	0	0	0	1	15	18	-3	3	1	1	0	0	0	0	1	9	10	-1	3	1	2	0	0	0	0	0	6	8	-2	5	0.417	15	27	42	0	0	5	4	6	0	194	68	67	59	3	200	59	56	147	32	8	25.00%	28	7	75.00%	2	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	127	74	139	55	98	49
11	Flyers	2	1	1	0	0	0	0	0	4	5	-1	1	1	0	0	0	0	0	0	3	1	2	1	0	1	0	0	0	0	0	1	4	-3	2	0.500	4	7	11	0	0	3	1	0	0	74	23	26	25	0	71	13	16	43	9	0	0.00%	2	1	50.00%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	43	26	42	17	34	17
12	Islanders	2	0	2	0	0	0	0	0	3	10	-7	1	0	1	0	0	0	0	0	2	7	-5	1	0	1	0	0	0	0	0	1	3	-2	0	0.000	3	5	8	0	0	0	1	2	0	60	32	11	17	0	70	22	14	54	6	0	0.00%	7	0	100.00%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	43	26	42	17	33	15
13	Kings	6	1	3	0	1	0	0	1	17	18	-1	3	0	1	0	1	0	0	1	8	10	-2	3	1	2	0	0	0	0	0	9	8	1	5	0.417	17	26	43	0	0	6	6	4	1	210	69	78	62	4	199	58	63	164	36	2	5.56%	28	3	89.29%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	127	73	137	56	100	49
14	Maple Leafs	2	0	2	0	0	0	0	0	4	9	-5	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	1	5	-4	0	0.000	4	8	12	0	0	2	1	1	0	70	27	21	22	0	73	25	10	45	10	1	10.00%	5	1	80.00%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	43	26	43	17	33	16
15	Oilers	6	3	2	0	1	0	0	0	20	13	7	3	1	1	0	1	0	0	0	11	9	2	3	2	1	0	0	0	0	0	9	4	5	8	0.667	20	34	54	0	0	6	9	4	1	208	68	76	63	1	206	61	53	170	29	7	24.14%	25	2	92.00%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	131	77	129	52	99	49
16	Penguins	2	1	1	0	0	0	0	0	6	5	1	1	1	0	0	0	0	0	0	4	1	3	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	6	11	17	1	0	4	0	2	0	62	22	18	22	0	76	22	25	59	5	2	40.00%	6	1	83.33%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	41	24	45	17	32	15
17	Predators	4	0	3	0	0	0	1	0	8	14	-6	2	0	1	0	0	0	1	0	4	8	-4	2	0	2	0	0	0	0	0	4	6	-2	2	0.250	8	10	18	0	0	4	2	1	2	142	64	44	31	7	154	48	18	111	11	1	9.09%	9	1	88.89%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	84	51	93	37	66	32
18	Rangers	2	0	1	0	0	0	1	0	5	6	-1	1	0	0	0	0	0	1	0	4	3	1	1	0	1	0	0	0	0	0	1	3	-2	2	0.500	5	7	12	0	0	1	2	1	1	73	22	31	18	5	66	27	10	48	5	0	0.00%	5	1	80.00%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	47	29	44	17	33	16
19	Red Wings	2	0	1	0	0	0	1	0	5	5	0	1	0	0	0	0	0	1	0	2	1	1	1	0	1	0	0	0	0	0	3	4	-1	2	0.500	5	7	12	0	0	2	0	2	1	71	19	21	30	4	70	25	16	45	7	2	28.57%	8	1	87.50%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	42	24	47	19	34	16
20	Sabres	2	2	0	0	0	0	0	0	8	4	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	3	1	2	4	1.000	8	15	23	0	0	4	0	4	0	78	18	25	35	0	73	18	8	48	5	2	40.00%	4	1	75.00%	1	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	42	26	46	16	30	15
21	Senateurs	4	3	0	0	0	0	1	0	13	7	6	1	1	0	0	0	0	0	0	4	3	1	3	2	0	0	0	0	1	0	9	4	5	8	1.000	13	21	34	0	0	4	4	4	2	145	57	47	40	3	135	52	24	93	13	2	15.38%	12	1	91.67%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	92	55	85	34	67	34
22	Stars	4	0	3	0	0	0	0	1	6	13	-7	2	0	1	0	0	0	0	1	4	7	-3	2	0	2	0	0	0	0	0	2	6	-4	1	0.125	6	10	16	1	0	4	0	2	0	142	58	44	36	7	149	39	20	90	9	0	0.00%	10	2	80.00%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	85	52	92	36	66	32
	Total	82	29	32	0	3	1	10	7	228	225	3	41	16	12	0	2	0	8	3	128	119	9	41	13	20	0	1	1	2	4	100	106	-6	92	0.561	228	376	604	2	0	72	70	73	19	2878	998	963	881	84	2801	892	587	2078	323	59	18.27%	276	45	83.70%	4	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	1802	1072	1826	738	1381	690
24	Wild	5	1	3	0	1	0	0	0	9	10	-1	3	1	2	0	0	0	0	0	6	7	-1	2	0	1	0	1	0	0	0	3	3	0	4	0.400	9	16	25	0	0	4	2	2	1	181	55	57	68	1	149	49	18	132	10	0	0.00%	9	1	88.89%	0	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	107	63	106	44	86	42
	_Since Last GM Reset	82	29	32	0	3	1	10	7	228	225	3	41	16	12	0	2	0	8	3	128	119	9	41	13	20	0	1	1	2	4	100	106	-6	92	0.561	228	376	604	2	0	72	70	73	19	2878	998	963	881	84	2801	892	587	2078	323	59	18.27%	276	45	83.70%	4	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	1802	1072	1826	738	1381	690
	_Vs Conference	56	19	23	0	3	0	5	6	153	152	1	29	10	10	0	2	0	4	3	88	88	0	27	9	13	0	1	0	1	3	65	64	1	60	0.536	153	256	409	1	0	47	55	43	13	1973	687	669	587	63	1889	596	414	1440	240	46	19.17%	202	34	83.17%	2	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	1230	729	1243	507	942	470
	_Vs Division	30	10	12	0	2	0	2	4	87	85	2	15	5	5	0	2	0	1	2	48	47	1	15	5	7	0	0	0	1	2	39	38	1	32	0.533	87	148	235	0	0	23	37	23	6	1051	342	382	314	31	998	321	272	793	159	33	20.75%	131	22	83.21%	2	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	663	389	663	273	503	252

			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
82	92	L1	228	376	604	2878	2801	892	587	2078	2	0

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	29	32	3	1	10	7	228	225

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	16	12	2	0	8	3	128	119

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	13	20	1	1	2	4	100	106

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
2	8	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
323	59	18.27%	276	45	83.70%	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
998	963	881	84	72	70	73	19

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
1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%

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
1802	1072	1826	738	1381	690

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	Lien
4 - 2018-10-02	14	Flames	4	Sharks	3	L			Sommaire du Match
6 - 2018-10-04	28	Sharks	1	Kings	3	L			Sommaire du Match
7 - 2018-10-05	37	Blues	3	Sharks	4	W			Sommaire du Match
10 - 2018-10-08	52	Wild	1	Sharks	4	W			Sommaire du Match
14 - 2018-10-12	71	Sharks	1	Flames	4	L			Sommaire du Match
15 - 2018-10-13	76	Kings	3	Sharks	2	L	X	X	Sommaire du Match
18 - 2018-10-16	94	Sharks	5	Oilers	1	W			Sommaire du Match
19 - 2018-10-17	102	Oilers	4	Sharks	2	L			Sommaire du Match
21 - 2018-10-19	118	Blackhawks	5	Sharks	6	W	X	X	Sommaire du Match
24 - 2018-10-22	130	Sharks	2	Ducks	3	L			Sommaire du Match
26 - 2018-10-24	144	Canucks	7	Sharks	1	L			Sommaire du Match
27 - 2018-10-25	149	Sharks	4	Senateurs	2	W			Sommaire du Match
31 - 2018-10-29	170	Ducks	2	Sharks	5	W			Sommaire du Match
33 - 2018-10-31	177	Sharks	1	Ducks	2	L	X	X	Sommaire du Match
35 - 2018-11-02	190	Sharks	1	Wild	2	L			Sommaire du Match
36 - 2018-11-03	199	Bruins	3	Sharks	5	W			Sommaire du Match
39 - 2018-11-06	213	Sharks	1	Avalanche	2	L	X	X	Sommaire du Match
42 - 2018-11-09	224	Canadiens	1	Sharks	2	W	X	X	Sommaire du Match
44 - 2018-11-11	232	Sharks	3	Devils	4	L	X		Sommaire du Match
46 - 2018-11-13	245	Maple Leafs	4	Sharks	3	L			Sommaire du Match
48 - 2018-11-15	250	Sharks	1	Maple Leafs	5	L			Sommaire du Match
51 - 2018-11-18	269	Blues	2	Sharks	4	W			Sommaire du Match
53 - 2018-11-20	280	Sharks	6	Blues	1	W			Sommaire du Match
55 - 2018-11-22	288	Sharks	2	Wild	1	W	X		Sommaire du Match
57 - 2018-11-24	299	Red Wings	1	Sharks	2	W	X	X	Sommaire du Match
60 - 2018-11-27	315	Sharks	1	Flyers	4	L			Sommaire du Match
61 - 2018-11-28	323	Islanders	7	Sharks	2	L			Sommaire du Match
65 - 2018-12-02	341	Sharks	2	Predators	3	L			Sommaire du Match
66 - 2018-12-03	348	Penguins	1	Sharks	4	W			Sommaire du Match
70 - 2018-12-07	366	Blues	3	Sharks	4	W	X	X	Sommaire du Match
72 - 2018-12-09	380	Sharks	1	Stars	3	L			Sommaire du Match
74 - 2018-12-11	388	Canucks	3	Sharks	4	W	X	X	Sommaire du Match
76 - 2018-12-13	399	Sharks	2	Canucks	3	L	X	X	Sommaire du Match
79 - 2018-12-16	412	Sharks	1	Stars	3	L			Sommaire du Match
80 - 2018-12-17	420	Flyers	1	Sharks	3	W			Sommaire du Match
83 - 2018-12-20	439	Predators	1	Sharks	2	W	X	X	Sommaire du Match
85 - 2018-12-22	449	Sharks	1	Rangers	3	L			Sommaire du Match
87 - 2018-12-24	461	Avalanche	2	Sharks	3	W			Sommaire du Match
90 - 2018-12-27	475	Sharks	1	Islanders	3	L			Sommaire du Match
93 - 2018-12-30	488	Devils	2	Sharks	3	W	X	X	Sommaire du Match
96 - 2019-01-02	508	Predators	7	Sharks	2	L			Sommaire du Match
97 - 2019-01-03	515	Sharks	5	Canucks	4	W			Sommaire du Match
101 - 2019-01-07	529	Sharks	6	Kings	2	W			Sommaire du Match
102 - 2019-01-08	536	Oilers	3	Sharks	6	W			Sommaire du Match
105 - 2019-01-11	554	Sharks	2	Kings	3	L			Sommaire du Match
106 - 2019-01-12	558	Oilers	2	Sharks	3	W	X		Sommaire du Match
110 - 2019-01-16	580	Capitals	2	Sharks	3	W			Sommaire du Match
112 - 2019-01-18	593	Sharks	3	Flames	1	W			Sommaire du Match
114 - 2019-01-20	603	Rangers	3	Sharks	4	W	X	X	Sommaire du Match
116 - 2019-01-22	612	Sharks	4	Blues	2	W			Sommaire du Match
120 - 2019-01-26	628	Sabres	3	Sharks	5	W			Sommaire du Match
122 - 2019-01-28	641	Sharks	3	Red Wings	4	L			Sommaire du Match
124 - 2019-01-30	653	Canucks	3	Sharks	6	W			Sommaire du Match
126 - 2019-02-01	665	Sharks	2	Predators	3	L			Sommaire du Match
128 - 2019-02-03	675	Avalanche	2	Sharks	4	W			Sommaire du Match
130 - 2019-02-05	685	Sharks	4	Ducks	3	W	X	X	Sommaire du Match
132 - 2019-02-07	697	Sharks	4	Capitals	1	W			Sommaire du Match
134 - 2019-02-09	704	Stars	2	Sharks	1	L	X	X	Sommaire du Match
136 - 2019-02-11	716	Sharks	3	Senateurs	1	W			Sommaire du Match
138 - 2019-02-13	727	Stars	5	Sharks	3	L			Sommaire du Match
140 - 2019-02-15	740	Sharks	2	Senateurs	1	W	X	X	Sommaire du Match
142 - 2019-02-17	749	Ducks	1	Sharks	3	W			Sommaire du Match
144 - 2019-02-19	754	Sharks	3	Sabres	1	W			Sommaire du Match
146 - 2019-02-21	763	Sharks	3	Oilers	1	W			Sommaire du Match
148 - 2019-02-23	776	Sharks	1	Canucks	3	L			Sommaire du Match
149 - 2019-02-24	782	Senateurs	3	Sharks	4	W			Sommaire du Match
152 - 2019-02-27	794	Sharks	2	Blackhawks	1	W			Sommaire du Match
154 - 2019-03-01	804	Sharks	3	Avalanche	2	W			Sommaire du Match
155 - 2019-03-02	809	Flames	4	Sharks	3	L	X	X	Sommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
158 - 2019-03-05	827	Ducks	2	Sharks	1	L			Sommaire du Match
160 - 2019-03-07	836	Sharks	4	Canadiens	5	L			Sommaire du Match
162 - 2019-03-09	843	Sharks	3	Bruins	4	L	X	X	Sommaire du Match
164 - 2019-03-11	856	Flames	2	Sharks	3	W			Sommaire du Match
166 - 2019-03-13	865	Sharks	1	Blackhawks	3	L			Sommaire du Match
168 - 2019-03-15	876	Sharks	1	Oilers	2	L			Sommaire du Match
170 - 2019-03-17	883	Wild	3	Sharks	1	L			Sommaire du Match
174 - 2019-03-21	895	Sharks	2	Penguins	4	L			Sommaire du Match
176 - 2019-03-23	908	Sharks	2	Flames	3	L			Sommaire du Match
177 - 2019-03-24	912	Wild	3	Sharks	1	L			Sommaire du Match
182 - 2019-03-29	935	Blackhawks	2	Sharks	1	L			Sommaire du Match
187 - 2019-04-03	957	Kings	3	Sharks	4	W	X		Sommaire du Match
194 - 2019-04-10	984	Kings	4	Sharks	2	L			Sommaire du Match

Capacité de l'Aréna - Tendance du Prix des Billets - %
	Niveau 1	Niveau 2	Niveau 3	Niveau 4	Luxe
Capacité de l'Aréna	6500	5000	3000	4000	1500
Prix des Billets	100	81	65	50	120
Assistance	199,894	201,348	121,481	115,942	58,780
Attendance PCT	75.01%	98.22%	98.77%	70.70%	95.58%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité de l'Aréna	Popularité de l'Équipe
0	17011 - 85.05%	1,249,325$	51,222,314$	20000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
66,374,358$	63,900,000$	1,150,000$	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
327,692$	63,974,298$	0$	20	0

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	340,000$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Cap Salarial de la Saison Éstimé	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	63,974,298$	49,771,100$	49,771,100$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Max Pacioretty	AGE:30	PO:49	OV:86
Robert Nilsson	AGE:34	PO:32	OV:79
Boone Jenner	AGE:25	PO:71	OV:78
Mason Raymond	AGE:33	PO:28	OV:75
Roman Horak	AGE:27	PO:40	OV:71
Marcus Foligno	AGE:27	PO:52	OV:70
*Austin Watson	AGE:27	PO:79	OV:68
*Seth Griffith	AGE:26	PO:71	OV:67
*Remi Elie	AGE:24	PO:75	OV:64
*Pontus Aberg	AGE:25	PO:73	OV:62
*Micheal Haley	AGE:33	PO:27	OV:62
*Marcus Sorensen	AGE:27	PO:58	OV:61
*Max McCormick	AGE:26	PO:47	OV:60

Brandon Dubinsky	AGE:32	PO:30	OV:84
Sean Couturier	AGE:26	PO:83	OV:82
*Anton Lander	AGE:28	PO:56	OV:77
*Mathew Barzal	AGE:21	PO:84	OV:75
Joakim Andersson	AGE:30	PO:38	OV:69
Jay McClement	AGE:36	PO:14	OV:69
*Derek Grant	AGE:29	PO:49	OV:67
*Ryan Carpenter	AGE:28	PO:37	OV:66

Ryan Callahan	AGE:34	PO:6	OV:83
Mats Zuccarello	AGE:31	PO:68	OV:82
Mark Letestu	AGE:34	PO:4	OV:79
Jan Hlavac	AGE:42	PO:25	OV:73
*Sven Andrighetto	AGE:26	PO:71	OV:70
*Shane Prince	AGE:26	PO:63	OV:70
Jack Skille	AGE:31	PO:48	OV:67
*Garnet Hathaway	AGE:27	PO:37	OV:66
*Ryan Reaves	AGE:32	PO:38	OV:64
*Brett Bulmer	AGE:26	PO:47	OV:53

Défense #1

Défense #2

Gardien

Dennis Seidenberg	AGE:37	PO:1	OV:82
Jacob Trouba	AGE:25	PO:79	OV:80
Tom Gilbert	AGE:36	PO:29	OV:80
Braydon Coburn	AGE:34	PO:52	OV:76
*Dmitry Orlov	AGE:27	PO:60	OV:75
Steve Oleksy	AGE:33	PO:12	OV:75
David Schlemko	AGE:31	PO:34	OV:73
Mark Fayne	AGE:31	PO:16	OV:72

Klas Dahlbeck	AGE:27	PO:49	OV:71
*Ryan Pulock	AGE:24	PO:82	OV:70
*Vince Dunn	AGE:22	PO:70	OV:66
*Casey Nelson	AGE:26	PO:42	OV:63
*Jesse Blacker	AGE:28	PO:53	OV:60
*Mark Alt	AGE:27	PO:60	OV:59
*Karl Stollery	AGE:31	PO:23	OV:56
*Cameron Gaunce	AGE:29	PO:47	OV:55

Corey Crawford	AGE:34	PO:19	OV:92
Scott Darling	AGE:30	PO:64	OV:86
*Calvin Pickard	AGE:27	PO:65	OV:84
*Kevin Poulin	AGE:29	PO:33	OV:78
*Jean-François Berube	AGE:27	PO:53	OV:73

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
Joni Ikonen	Sharks
Brett Pollock	Sharks
Callan Foote	Sharks
Callum Booth	Sharks
Carter Hart	Sharks
Christopher Clapperton	Sharks
Connor Bleackley	Sharks
Damien Riat	Sharks
Demetrios Koumontzis	Sharks
Eetu Makiniemi	Sharks
Erik Cernak	Sharks
Igor Bobkov	Sharks
Igor Shvyrev	Sharks
JC Beaudin	Sharks
Jack Drury	Sharks
Jan Jenik	Sharks
Jesper Boqvist	Sharks
Julien Gauthier	Sharks
Keaton Middleton	Sharks
Linus Karlsson	Sharks
Luke Green	Sharks
Michael McLeod	Sharks
Milos Roman	Sharks
Rasmus Kupari	Sharks
Reilly Walsh	Sharks
Tyler Madden	Sharks
Ville Husso	Sharks

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6
14	SJ MIN	SJ	SJ	SJ	SJ	SJ
15	SJ	SJ	SJ	SJ	SJ	SJ
16	SJ	SJ	SJ	SJ	SJ	SJ
17	SJ	SJ	SJ	SJ	SJ	SJ
18	SJ	SJ	SJ	SJ	SJ	SJ

[2019-01-04 16:18:14] - TRADE : From Wild to Sharks : Mats Zuccarello (82).
[2019-01-04 16:18:14] - TRADE : From Sharks to Wild : Gabriel Bourque (79).
[2018-09-14 19:19:42] - Henrik Zetterberg retired from Sharks
[2018-09-09 09:52:17] - Milos Roman has been added to Sharks.
[2018-09-08 11:36:58] - Demetrios Koumontzis has been added to Sharks.
[2018-09-07 18:55:00] - Linus Karlsson has been added to Sharks.
[2018-09-03 20:52:08] - Tyler Madden has been added to Sharks.
[2018-09-03 20:51:31] - Jan Jenik has been added to Sharks.
[2018-09-03 20:45:19] - Jack Drury has been added to Sharks.
[2018-09-03 20:38:02] - Rasmus Kupari has been added to Sharks.
[2018-07-13 20:41:56] - Mark Alt signed with Sharks for 575 000 $ for 3 year(s) with 0 $ in bonus.
[2018-07-13 20:41:56] - Mark Alt was added to Sharks.
[2018-07-13 20:25:20] - Jesse Blacker signed with Sharks for 575 000 $ for 3 year(s) with 0 $ in bonus.
[2018-07-13 20:25:20] - Jesse Blacker was added to Sharks.
[2018-07-01 10:58:50] - Kevin Poulin retired from Sharks
[2018-06-25 16:56:27] - Jakub Nakladal was released.
[2018-06-25 16:56:27] - Sharks paid 0 $ to release Jakub Nakladal.
[2018-06-02 09:40:23] - Vince Dunn was added to Sharks.
[2018-06-02 09:40:08] - Vince Dunn has been deleted from Sharks.
[2018-05-14 18:32:15] - Sharks was eliminated at round 3 of year 12.
[2018-05-02 20:35:08] - Sharks was eliminated at round 1 of year 12.

[2019-04-25 17:31:08] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-04-20 22:34:59] Last 7 Days Farm Star : 1 - Ryan Dzingel of Islanders (1-3-4) / 2 - Tanner Kero of Islanders (2-0-2) / 3 - Mason Raymond of Sharks (2-0-2)
[2019-04-19 01:19:05] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-04-15 18:59:04] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-04-13 18:32:33] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-04-11 18:55:08] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-04-08 17:38:09] Both Sharks and Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-04-07 16:18:30] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-04-06 19:26:00] Last 7 Days Farm Star : 1 - Keith Kinkaid of Flyers (0,970) / 2 - Reid Boucher of Bruins (5-1-6) / 3 - Mason Raymond of Sharks (4-0-4)
[2019-04-05 20:41:22] Both Sharks and Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-04-02 19:33:48] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-04-01 17:53:15] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-03-31 17:12:37] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-03-30 23:35:18] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-03-28 19:06:19] Both Sharks and Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-03-27 19:11:36] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-03-26 17:11:18] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-03-24 20:57:01] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-03-23 19:16:53] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-03-22 20:54:45] Sharks lines for next game are empty. Current rosters/lines are not erased.
[2019-03-20 18:16:40] Both Sharks and Sharks lines for next game are empty. Current rosters/lines are not erased.

Pas de Blessure ou de Suspension.

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
13	82	29	32	0	3	1	10	7	228	225	3	41	16	12	0	2	0	8	3	128	119	9	41	13	20	0	1	1	2	4	100	106	-6	92	228	376	604	2	0	72	70	73	19	2878	998	963	881	84	2801	892	587	2078	323	59	18.27%	276	45	83.70%	4	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	1802	1072	1826	738	1381	690
Total Saison Régulière	82	29	32	0	3	1	10	7	228	225	3	41	16	12	0	2	0	8	3	128	119	9	41	13	20	0	1	1	2	4	100	106	-6	92	228	376	604	2	0	72	70	73	19	2878	998	963	881	84	2801	892	587	2078	323	59	18.27%	276	45	83.70%	4	1125	2285	49.23%	1108	2235	49.57%	563	1129	49.87%	1802	1072	1826	738	1381	690