OTHL - Sharks

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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	Âge	Contrat	Salaire
1	Aleksander Barkov	X				100.00	61	42	93	91	80	87	94	89	95	94	85	74	81	69	70	81	50	79	0	25	2	5,900,000$
2	Evgeny Kuznetsov	X				100.00	67	43	82	90	75	77	87	81	79	86	81	61	79	70	73	78	50	74	0	29	5	8,150,000$
3	Filip Forsberg		X			100.00	78	54	86	86	76	76	81	84	34	81	84	59	70	70	72	80	50	73	0	26	3	7,000,000$
4	Jakub Vrana		X	X		98.00	63	42	91	86	71	68	93	74	52	79	86	63	75	63	65	79	50	72	0	25	1	1,363,333$
5	Mats Zuccarello		X	X		100.00	59	40	90	88	61	72	74	76	56	77	74	61	87	70	73	73	50	69	0	33	4	5,000,000$
6	Zack Kassian			X		100.00	92	79	68	83	79	70	86	63	34	76	76	60	25	70	71	74	50	68	0	30	3	2,800,000$
7	Robert Thomas	X		X		99.00	59	41	91	83	68	68	85	69	59	84	68	55	25	59	61	70	50	67	0	21	2	1,177,500$
8	Mattias Janmark	X	X			100.00	63	42	93	82	72	68	89	64	42	69	59	74	25	65	66	67	50	66	0	28	1	930,000$
9	Warren Foegele		X	X		100.00	73	43	85	67	72	65	90	59	41	70	71	71	25	59	60	71	50	65	0	25	1	800,000$
10	Joakim Nordstrom	X	X			100.00	84	57	89	74	70	62	76	58	29	56	58	88	25	68	70	67	50	64	0	29	1	1,100,000$
11	Garnet Hathaway		X	X		100.00	94	93	67	68	79	57	88	61	35	60	66	75	25	64	65	69	50	64	0	29	2	850,000$
12	Adam Helewka		X			100.00	79	74	89	68	74	76	80	63	50	62	60	67	57	45	45	65	50	62	0	25	3	705,000$
13	Kris Letang				X	100.00	82	45	82	90	73	93	80	89	25	73	65	81	73	78	85	77	50	77	0	34	3	8,650,000$
14	Jared Spurgeon				X	100.00	75	41	90	88	49	86	89	81	25	65	60	86	25	75	77	73	50	74	0	31	2	5,750,000$
15	Joel Edmundson				X	100.00	82	66	71	78	82	75	83	58	25	54	50	89	25	66	68	65	50	71	0	27	1	3,500,000$
16	T.J. Brodie				X	100.00	61	41	83	85	68	80	89	67	25	57	48	80	25	73	74	64	50	70	0	30	3	5,600,000$
17	Justin Braun				X	100.00	80	45	90	82	76	72	87	59	25	60	48	80	25	74	78	65	50	70	0	34	3	4,500,000$
18	Mario Ferraro (R)				X	100.00	85	44	85	80	67	68	68	61	25	51	48	71	25	51	51	61	50	64	0	22	3	925,000$
Rayé
1	Michael Frolik		X	X		77.18	67	42	85	82	71	62	78	57	34	62	60	75	38	79	82	66	50	65	0	33	2	1,000,000$
2	Gustav Forsling				X	100.00	73	68	84	68	68	67	70	56	25	47	48	65	46	59	59	59	50	60	0	24	1	875,000$
Équipe Mineure
1	Nic Petan	X	X	X		100.00	63	41	91	79	62	58	57	69	32	65	55	66	25	59	59	63	50	62	0	26	3	775,000$
2	Zack MacEwen	X		X		100.00	89	99	68	66	80	54	72	58	44	56	80	61	25	45	45	71	50	62	0	24	1	996,000$
3	Joseph LaBate	X	X			100.00	77	81	69	61	81	72	76	60	75	58	58	65	55	45	45	62	50	61	0	28	2	681,000$
4	Kieffer Bellows		X			100.00	72	71	74	69	71	77	82	59	50	47	67	62	64	44	44	64	50	61	0	22	3	1,106,666$
5	Dylan Sikura	X	X	X		100.00	66	58	86	61	58	80	84	64	80	61	62	61	59	47	47	64	50	61	0	25	1	1,387,500$
6	J.T. Brown	X		X		100.00	65	60	75	66	60	74	79	57	71	50	54	64	51	68	71	59	50	60	0	30	1	1,250,000$
7	Danick Martel		X			100.00	62	57	73	62	57	62	63	63	50	57	63	61	60	55	55	62	50	59	0	26	1	700,000$
8	Matt Lorito		X	X		100.00	69	61	88	63	61	61	62	59	50	57	56	60	53	44	44	60	50	57	0	30	1	800,000$
9	Alexey Toropchenko (R)			X		100.00	80	76	88	62	76	71	78	47	50	43	46	63	44	44	44	55	50	56	0	21	3	879,167$
10	Cole Ully		X	X		100.00	70	66	79	64	66	56	58	49	50	49	44	58	42	44	44	53	50	53	0	26	3	646,667$
11	Jimmy Schuldt (R)				X	100.00	76	75	77	61	75	61	64	53	25	46	45	62	43	44	44	55	50	58	1	26	2	925,000$
12	Zac Leslie				X	100.00	68	64	77	63	64	70	74	54	25	52	42	59	40	44	44	55	50	58	0	27	3	616,667$
13	Brogan Raferty (R)				X	100.00	78	72	92	64	72	64	66	60	25	60	43	44	44	59	50	61	50	57	0	26	1	700,000$
14	Michael Downing				X	100.00	77	77	77	66	77	42	41	46	25	37	40	61	38	44	44	50	50	55	0	26	3	820,000$
15	Robbie Russo				X	100.00	72	68	81	63	68	71	77	51	25	47	40	60	38	45	45	54	50	58	0	28	0	0$

	MOYENNE D'ÉQUIPE					99.26	73	59	83	74	70	69	77	63	43	61	60	67	45	59	60	65	50	64

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Âge	Contrat	Salaire
1	Darcy Kuemper	99.00	78	75	73	89	83	72	88	76	83	78	63	63	64	79	50	77	0	31	1	1,850,000$
2	Laurent Brossoit	100.00	59	53	53	81	65	54	53	57	62	59	45	53	53	58	50	59	0	28	5	2,300,000$
Rayé
1	Eric Comrie	95.98	62	65	81	65	62	67	57	66	64	63	30	44	44	63	50	61	0	25	3	700,000$
Équipe Mineure

	MOYENNE D'ÉQUIPE	98.33	66	64	69	78	70	64	66	66	70	67	46	53	54	67	50	66

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Rick Tocchet	87	91	61	94	72	49	76	CAN	54	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

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#	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	EG	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Aleksander Barkov	Sharks	C	76	29	39	68	-3	6	0	29	188	308	82	243	9.42%	17	1458	19.19	6	13	19	57	157	0	0	0	0	27	3	1	57.76%	1669	0	0.93	2	4	0	0	0	3	4	4
2	Jared Spurgeon	Sharks	D	82	12	48	60	5	26	0	86	135	161	51	95	7.45%	144	1800	21.96	6	10	16	78	194	0	1	1	1	161	2	0	0.00%	0	0	0.67	0	0	0	0	0	5	2	0
3	Kris Letang	Sharks	D	73	16	42	58	-9	37	5	111	124	139	46	102	11.51%	120	1640	22.47	7	12	19	48	142	1	1	2	3	114	4	2	0.00%	0	0	0.71	0	0	0	0	1	4	4	3
4	Evgeny Kuznetsov	Sharks	C	73	23	27	50	-5	16	0	82	146	230	48	147	10.00%	5	1245	17.06	3	14	17	47	176	0	0	0	0	0	3	2	49.27%	1447	0	0.80	2	8	0	0	0	2	4	2
5	Filip Forsberg	Sharks	LW	70	23	23	46	-3	76	20	163	93	181	48	133	12.71%	11	1279	18.27	5	5	10	11	95	0	0	0	0	7	4	0	34.21%	190	0	0.72	2	7	0	2	1	4	4	2
6	Jakub Vrana	Sharks	LW/RW	82	13	26	39	-5	18	0	42	101	248	70	177	5.24%	7	1752	21.37	4	8	12	36	208	0	0	0	2	141	2	2	36.32%	424	0	0.45	3	4	0	0	0	1	1	0
7	Mats Zuccarello	Sharks	LW/RW	70	13	23	36	-5	10	0	26	82	156	32	110	8.33%	1	1115	15.94	4	8	12	27	164	1	0	1	3	54	3	2	36.61%	112	0	0.65	0	1	0	0	0	0	2	4
8	Joel Edmundson	Sharks	D	80	9	25	34	-13	108	10	180	70	85	32	47	10.59%	106	1664	20.80	2	7	9	33	115	0	0	0	0	103	1	1	0.00%	0	0	0.41	0	0	0	0	2	1	1	3
9	T.J. Brodie	Sharks	D	82	7	20	27	-31	18	0	42	83	108	35	71	6.48%	131	1531	18.68	5	9	14	56	153	0	0	0	1	153	0	0	0.00%	0	0	0.35	0	0	0	0	0	1	1	2
10	Mattias Janmark	Sharks	C/LW	82	5	19	24	-15	2	0	3	99	92	29	77	5.43%	8	1071	13.07	2	3	5	6	59	0	1	1	0	115	2	1	34.95%	927	0	0.45	0	0	0	0	0	0	1	1
11	Zack Kassian	Sharks	RW	82	12	10	22	-3	44	10	172	34	98	35	81	12.24%	9	954	11.64	4	3	7	19	172	0	0	0	0	34	2	1	27.18%	195	1	0.46	1	6	1	0	0	3	1	3
12	Robert Thomas	Sharks	C/RW	74	10	10	20	-23	2	0	28	66	101	32	61	9.90%	3	1279	17.28	5	1	6	13	151	0	0	0	2	99	0	1	44.41%	358	0	0.31	1	3	0	0	0	0	0	0
13	Justin Braun	Sharks	D	82	0	18	18	-13	54	0	146	66	42	20	48	0.00%	103	1458	17.79	0	5	5	13	78	0	0	0	0	182	0	0	0.00%	0	0	0.25	0	0	0	0	0	0	0	2
14	Michael Frolik	Sharks	LW/RW	76	8	8	16	2	4	0	6	39	62	10	37	12.90%	7	773	10.17	0	0	0	0	2	0	0	0	1	154	2	0	43.48%	69	0	0.41	0	0	0	0	0	1	1	0
15	Mario Ferraro	Sharks	D	82	3	10	13	-6	58	0	168	41	54	8	23	5.56%	101	1514	18.46	0	0	0	14	92	0	0	0	0	158	0	0	0.00%	0	0	0.17	0	0	0	0	0	0	1	0
16	Joakim Nordstrom	Sharks	C/LW	53	6	5	11	-14	12	0	35	50	77	18	57	7.79%	12	579	10.93	0	0	0	2	12	0	0	0	0	65	0	0	26.84%	231	0	0.38	0	0	0	0	0	0	0	0
17	Garnet Hathaway	Sharks	LW/RW	40	3	1	4	-6	31	5	73	17	32	13	18	9.38%	4	349	8.73	0	0	0	0	0	0	0	0	0	0	0	0	28.57%	21	0	0.23	0	0	0	0	1	0	0	1
18	Warren Foegele	Sharks	LW/RW	49	1	2	3	-11	22	0	64	27	46	13	26	2.17%	7	679	13.87	0	0	0	1	5	0	0	0	0	0	0	0	37.10%	372	0	0.09	0	0	0	0	0	0	0	0
19	Gustav Forsling	Sharks	D	11	0	2	2	2	4	0	11	4	5	2	1	0.00%	12	206	18.73	0	0	0	0	1	0	0	0	0	7	0	0	0.00%	0	0	0.19	0	0	0	0	0	0	0	0
20	Adam Helewka	Sharks	LW	4	0	0	0	-1	0	0	0	0	3	0	1	0.00%	1	29	7.26	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	1	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1323	193	358	551	-157	548	50	1467	1465	2228	624	1555	8.66%	809	22381	16.92	53	98	151	461	1986	2	3	5	13	1582	28	13	45.03%	6016	1	0.49	11	33	1	2	5	25	27	27

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Darcy Kuemper	Sharks	60	26	22	8	0.919	2.67	3393	2	3	151	1867	1	3	0.724	29	56	26	9	7	4
2	Eric Comrie	Sharks	30	10	14	2	0.900	3.24	1574	2	2	85	850	1	1	0.667	3	26	55	3	0	1
Stats d'équipe Total ou en Moyenne			90	36	36	10	0.913	2.85	4968	4	5	236	2717	2	4	0.719	32	82	81	12	7	5

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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	Type	Salaire Actuel	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Link
Adam Helewka	Sharks	LW	25	1995-07-21	No	200 Lbs	6 ft1	No	No	No	3	Pro & Farm	705,000$	705,000$	0$	No	705,000$	705,000$			Lien
Aleksander Barkov	Sharks	C	25	1995-09-02	No	213 Lbs	6 ft4	No	No	No	2	Pro & Farm	5,900,000$	5,900,000$	0$	No	5,900,000$				Lien / Lien NHL
Darcy Kuemper	Sharks	G	31	1990-05-04	No	215 Lbs	6 ft5	No	No	No	1	Pro & Farm	1,850,000$	1,850,000$	0$	No					Lien / Lien NHL
Eric Comrie	Sharks	G	25	1995-07-05	No	175 Lbs	6 ft1	No	No	No	3	Pro & Farm	700,000$	700,000$	0$	No	700,000$	700,000$			Lien / Lien NHL
Evgeny Kuznetsov	Sharks	C	29	1992-05-19	No	204 Lbs	6 ft2	No	No	No	5	Pro & Farm	8,150,000$	8,150,000$	0$	No	8,150,000$	8,150,000$	8,150,000$	8,150,000$	Lien / Lien NHL
Filip Forsberg	Sharks	LW	26	1994-08-13	No	205 Lbs	6 ft1	No	No	No	3	Pro & Farm	7,000,000$	7,000,000$	0$	No	7,000,000$	7,000,000$			Lien / Lien NHL
Garnet Hathaway	Sharks	LW/RW	29	1991-11-23	No	208 Lbs	6 ft2	Yes	No	No	2	Pro & Farm	850,000$	850,000$	0$	No	850,000$				Lien / Lien NHL
Gustav Forsling	Sharks	D	24	1996-06-12	No	186 Lbs	6 ft0	No	No	No	1	Pro & Farm	875,000$	875,000$	0$	No					Lien / Lien NHL
Jakub Vrana	Sharks	LW/RW	25	1996-02-28	No	197 Lbs	6 ft0	No	No	No	1	Pro & Farm	1,363,333$	1,363,333$	0$	No					Lien / Lien NHL
Jared Spurgeon	Sharks	D	31	1989-11-28	No	168 Lbs	5 ft1	No	No	No	2	Pro & Farm	5,750,000$	5,750,000$	0$	No	5,750,000$				Lien / Lien NHL
Joakim Nordstrom	Sharks	C/LW	29	1992-02-25	No	189 Lbs	6 ft1	No	No	No	1	Pro & Farm	1,100,000$	1,100,000$	0$	No					Lien / Lien NHL
Joel Edmundson	Sharks	D	27	1993-06-28	No	215 Lbs	6 ft4	No	No	No	1	Pro & Farm	3,500,000$	3,500,000$	0$	No					Lien / Lien NHL
Justin Braun	Sharks	D	34	1987-02-10	No	205 Lbs	6 ft2	No	No	No	3	Pro & Farm	4,500,000$	4,500,000$	0$	No	4,500,000$	4,500,000$			Lien / Lien NHL
Kris Letang	Sharks	D	34	1987-04-24	No	201 Lbs	6 ft0	No	No	No	3	Pro & Farm	8,650,000$	8,650,000$	0$	No	8,650,000$	8,650,000$			Lien / Lien NHL
Laurent Brossoit	Sharks	G	28	1993-03-22	No	204 Lbs	6 ft3	No	No	No	5	Pro & Farm	2,300,000$	2,300,000$	0$	No	2,300,000$	2,300,000$	2,300,000$	2,300,000$	Lien / Lien NHL
Mario Ferraro	Sharks	D	22	1998-09-17	Yes	185 Lbs	5 ft11	No	No	No	3	Pro & Farm	925,000$	925,000$	0$	No	925,000$	925,000$			Lien / Lien NHL
Mats Zuccarello	Sharks	LW/RW	33	1987-08-31	No	179 Lbs	5 ft8	Yes	No	No	4	Pro & Farm	5,000,000$	5,000,000$	0$	No	5,000,000$	5,000,000$	5,000,000$		Lien / Lien NHL
Mattias Janmark	Sharks	C/LW	28	1992-12-08	No	196 Lbs	6 ft1	No	No	No	1	Pro & Farm	930,000$	930,000$	0$	No					Lien / Lien NHL
Michael Frolik (Sur la Masse Salariale)	Sharks	LW/RW	33	1988-02-16	No	194 Lbs	6 ft1	Yes	No	No	2	Pro & Farm	1,000,000$	0$	0$	Yes	1,000,000$				Lien / Lien NHL
Robert Thomas	Sharks	C/RW	21	1999-07-02	No	188 Lbs	6 ft0	No	No	No	2	Pro & Farm	1,177,500$	1,177,500$	0$	No	1,177,500$				Lien / Lien NHL
T.J. Brodie	Sharks	D	30	1990-06-06	No	182 Lbs	6 ft1	No	No	No	3	Pro & Farm	5,600,000$	5,600,000$	0$	No	5,600,000$	5,600,000$			Lien
Warren Foegele	Sharks	LW/RW	25	1996-04-01	No	190 Lbs	6 ft2	No	No	No	1	Pro & Farm	800,000$	800,000$	0$	No					Lien / Lien NHL
Zack Kassian	Sharks	RW	30	1991-01-24	No	209 Lbs	6 ft3	Yes	No	No	3	Pro & Farm	2,800,000$	2,800,000$	0$	No	2,800,000$	2,800,000$			Lien / Lien NHL

Joueurs Total	Âge Moyen	Poids Moyen	Taille Moyenne	Contrat Moyen	Salaire Moyen 1e Année
23	28.00	196 Lbs	6 ft1	2.39	3,105,471$

Somme Salaire 1e Année	Somme Salaire 2e Année	Somme Salaire 3e Année	Somme Salaire 4e Année	Somme Salaire 5e Année
71,425,833$	61,007,500$	46,330,000$	15,450,000$	10,450,000$

Attaque à 5 contre 5
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Filip Forsberg	Aleksander Barkov	Jakub Vrana	40	1	2	2
2	Warren Foegele	Evgeny Kuznetsov	Robert Thomas	30	1	2	2
3	Mats Zuccarello	Mattias Janmark	Garnet Hathaway	20	1	2	2
4	Adam Helewka	Joakim Nordstrom	Zack Kassian	10	1	2	2

Défense à 5 contre 5
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Kris Letang	Joel Edmundson	40	1	2	2
2	Jared Spurgeon	Mario Ferraro	30	1	2	2
3	T.J. Brodie	Justin Braun	20	1	2	2
4	Joel Edmundson	Jared Spurgeon	10	1	2	2

Attaque en Avantage Numérique
Ligne #	Ailier Gauche	Centre	Ailier Droit	% Temps	PHY	DF	OF
1	Zack Kassian	Aleksander Barkov	Jakub Vrana	60	1	2	2
2	Mats Zuccarello	Evgeny Kuznetsov	Robert Thomas	40	1	2	2

Défense en Avantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mario Ferraro	Jared Spurgeon	60	1	2	2
2	Justin Braun	T.J. Brodie	40	1	2	2

Attaque à 4 en Désavantage Numérique
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Jakub Vrana	Robert Thomas	60	1	2	2
2	Mats Zuccarello	Zack Kassian	40	1	2	2

Défense à 4 en Désavantage Numérique
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mario Ferraro	Jared Spurgeon	60	1	2	2
2	T.J. Brodie	Justin Braun	40	1	2	2

3 joueurs en Désavantage Numérique
Ligne #	Ailier	% Temps	PHY	DF	OF	Défense	Défense	% Temps	PHY	DF	OF
1	Jakub Vrana	60	1	2	2	T.J. Brodie	Jared Spurgeon	60	1	2	2
2	Robert Thomas	40	1	2	2	Mario Ferraro	Justin Braun	40	1	2	2

Attaque à 4 contre 4
Ligne #	Centre	Ailier	% Temps	PHY	DF	OF
1	Robert Thomas	Zack Kassian	60	1	2	2
2	Mats Zuccarello	Jakub Vrana	40	1	2	2

Défense à 4 contre 4
Ligne #	Défense	Défense	% Temps	PHY	DF	OF
1	Mario Ferraro	Jared Spurgeon	60	1	2	2
2	T.J. Brodie	Justin Braun	40	1	2	2

Attaque Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Filip Forsberg	Aleksander Barkov	Jakub Vrana	Joel Edmundson	Jared Spurgeon

Défense Dernière Minute
Ailier Gauche	Centre	Ailier Droit	Défense	Défense
Mats Zuccarello	Evgeny Kuznetsov	Warren Foegele	Joel Edmundson	Jared Spurgeon

Attaquants Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
Zack Kassian, Robert Thomas, Jakub Vrana	Zack Kassian, Robert Thomas	Jakub Vrana

Défenseurs Supplémentaires
Normal	Avantage Numérique	Désavantage Numérique
T.J. Brodie, Mario Ferraro, Jared Spurgeon	T.J. Brodie	Mario Ferraro, Jared Spurgeon

Tirs de Pénalité
Zack Kassian, Filip Forsberg, Robert Thomas, Jakub Vrana, Mats Zuccarello

Gardien
#1 : Darcy Kuemper, #2 : Laurent Brossoit

Lignes d'Attaque Perso. en Prol.
Zack Kassian, Warren Foegele, Filip Forsberg, Jakub Vrana, Mats Zuccarello, Robert Thomas, Robert Thomas, Aleksander Barkov, Mattias Janmark, Evgeny Kuznetsov, Garnet Hathaway

Lignes de Défense Perso. en Prol.
Joel Edmundson, Jared Spurgeon, Mario Ferraro, Justin Braun, T.J. Brodie

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	3	1	1	0	0	0	0	1	8	12	-4	1	0	0	0	0	0	0	1	4	5	-1	2	1	1	0	0	0	0	0	4	7	-3	3	0.500	8	13	21	0	0	5	1	2	0	101	44	34	22	4	84	33	16	55	11	4	36.36%	8	1	87.50%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	78	56	66	21	39	20
2	Blackhawks	3	0	3	0	0	0	0	0	7	14	-7	1	0	1	0	0	0	0	0	1	4	-3	2	0	2	0	0	0	0	0	6	10	-4	0	0.000	7	14	21	0	0	5	1	1	0	91	36	29	26	0	114	29	33	52	7	1	14.29%	14	4	71.43%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	68	46	71	21	39	19
3	Blue Jackets	2	1	1	0	0	0	0	0	7	5	2	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	5	2	3	2	0.500	7	12	19	0	0	2	2	3	0	65	25	13	27	0	41	18	15	44	7	1	14.29%	5	0	100.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	54	39	40	13	24	13
4	Blues	3	0	1	0	1	0	0	1	10	11	-1	1	0	0	0	0	0	0	1	3	4	-1	2	0	1	0	1	0	0	0	7	7	0	3	0.500	10	17	27	0	0	3	2	4	1	89	33	24	28	7	110	36	27	58	14	4	28.57%	13	4	69.23%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	72	50	73	21	39	19
5	Bruins	2	0	1	0	0	0	1	0	5	7	-2	1	0	1	0	0	0	0	0	1	4	-3	1	0	0	0	0	0	1	0	4	3	1	2	0.500	5	8	13	0	0	2	2	0	3	48	18	14	11	8	87	31	14	51	5	1	20.00%	7	3	57.14%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	41	27	57	14	26	13
6	Canadiens	2	0	2	0	0	0	0	0	1	8	-7	1	0	1	0	0	0	0	0	0	4	-4	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	1	2	3	0	0	1	0	0	0	56	23	21	12	0	76	12	14	39	4	0	0.00%	7	1	85.71%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	46	31	49	13	23	12
7	Canucks	5	3	2	0	0	0	0	0	14	13	1	3	2	1	0	0	0	0	0	9	9	0	2	1	1	0	0	0	0	0	5	4	1	6	0.600	14	25	39	0	1	6	7	1	0	136	49	52	35	0	210	77	36	95	13	3	23.08%	18	5	72.22%	1	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	109	74	126	37	64	31
8	Capitals	2	2	0	0	0	0	0	0	10	6	4	1	1	0	0	0	0	0	0	5	3	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	10	20	30	0	0	4	1	5	0	53	19	15	19	0	66	17	10	39	7	3	42.86%	5	1	80.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	49	35	42	14	27	13
9	Coyotes	4	0	2	0	0	0	1	1	8	14	-6	2	0	1	0	0	0	0	1	3	8	-5	2	0	1	0	0	0	1	0	5	6	-1	3	0.375	8	11	19	0	0	2	4	1	1	152	60	49	39	11	127	43	18	89	12	1	8.33%	7	1	85.71%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	109	78	89	28	51	26
10	Devils	2	0	2	0	0	0	0	0	4	8	-4	1	0	1	0	0	0	0	0	2	4	-2	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	4	7	11	2	0	2	0	2	0	43	19	9	15	0	54	17	10	37	8	1	12.50%	4	0	100.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	51	36	43	14	25	12
11	Ducks	4	1	2	0	0	0	1	0	7	9	-2	2	0	1	0	0	0	1	0	4	4	0	2	1	1	0	0	0	0	0	3	5	-2	4	0.500	7	11	18	0	0	2	2	2	2	103	37	26	39	3	128	40	20	68	11	1	9.09%	10	1	90.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	95	66	96	29	52	25
12	Flames	4	0	2	0	0	2	0	0	9	16	-7	2	0	1	0	0	1	0	0	2	6	-4	2	0	1	0	0	1	0	0	7	10	-3	2	0.250	9	18	27	0	0	2	2	5	0	118	45	37	36	0	111	24	25	96	16	3	18.75%	9	3	66.67%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	97	67	91	27	52	26
13	Flyers	2	0	1	0	0	1	0	0	3	9	-6	1	0	1	0	0	0	0	0	0	5	-5	1	0	0	0	0	1	0	0	3	4	-1	1	0.250	3	4	7	0	0	1	0	2	0	41	15	14	11	1	99	26	25	43	2	0	0.00%	8	2	75.00%	1	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	38	23	58	16	25	11
14	Golden Knights	4	2	1	0	0	0	0	1	8	8	0	2	0	1	0	0	0	0	1	1	4	-3	2	2	0	0	0	0	0	0	7	4	3	5	0.625	8	16	24	0	0	2	3	3	2	113	24	41	45	8	130	39	47	86	13	4	30.77%	14	1	92.86%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	92	60	99	31	53	26
15	Hurricanes	2	2	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	0	4	4	1.000	7	12	19	0	1	4	0	3	0	57	24	15	18	0	54	19	12	41	7	3	42.86%	5	0	100.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	46	31	46	15	27	14
16	Islanders	2	2	0	0	0	0	0	0	5	1	4	1	1	0	0	0	0	0	0	2	1	1	1	1	0	0	0	0	0	0	3	0	3	4	1.000	5	10	15	0	1	0	2	3	0	52	15	19	18	0	64	21	16	44	6	1	16.67%	8	0	100.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	46	31	48	13	24	13
17	Jets	3	2	0	0	0	0	1	0	10	6	4	2	2	0	0	0	0	0	0	7	4	3	1	0	0	0	0	0	1	0	3	2	1	6	1.000	10	15	25	0	0	6	1	2	1	87	37	34	15	5	73	23	14	57	9	1	11.11%	5	1	80.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	77	54	69	22	37	19
18	Kings	4	3	1	0	0	0	0	0	13	12	1	2	2	0	0	0	0	0	0	6	4	2	2	1	1	0	0	0	0	0	7	8	-1	6	0.750	13	26	39	0	0	5	2	6	0	97	31	24	42	0	121	40	26	81	13	5	38.46%	13	0	100.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	88	59	99	30	52	25
19	Lightning	2	0	2	0	0	0	0	0	5	8	-3	1	0	1	0	0	0	0	0	3	4	-1	1	0	1	0	0	0	0	0	2	4	-2	0	0.000	5	9	14	0	0	3	0	2	0	46	21	9	16	0	52	19	15	39	7	1	14.29%	5	3	40.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	41	26	51	14	26	13
20	Maple Leafs	2	1	1	0	0	0	0	0	5	6	-1	1	0	1	0	0	0	0	0	3	5	-2	1	1	0	0	0	0	0	0	2	1	1	2	0.500	5	9	14	1	0	0	2	3	0	63	14	16	33	0	65	18	8	32	7	2	28.57%	4	1	75.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	46	31	47	14	26	12
21	Oilers	4	1	3	0	0	0	0	0	11	15	-4	2	1	1	0	0	0	0	0	6	5	1	2	0	2	0	0	0	0	0	5	10	-5	2	0.250	11	21	32	1	1	5	3	3	0	93	37	30	26	0	140	51	26	91	10	4	40.00%	13	1	92.31%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	85	57	102	29	52	25
22	Panthers	2	1	1	0	0	0	0	0	2	2	0	1	0	1	0	0	0	0	0	1	2	-1	1	1	0	0	0	0	0	0	1	0	1	2	0.500	2	3	5	0	1	1	0	1	0	50	17	17	16	0	74	22	24	46	6	1	16.67%	6	1	83.33%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	43	31	53	15	23	11
23	Penguins	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	17	26	0	0	2	4	3	0	65	12	20	33	0	63	19	28	41	5	0	0.00%	14	2	85.71%	1	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	46	31	49	14	24	11
24	Predators	3	2	0	0	0	0	0	1	10	9	1	1	1	0	0	0	0	0	0	3	2	1	2	1	0	0	0	0	0	1	7	7	0	5	0.833	10	19	29	0	0	5	3	2	0	98	25	36	35	5	118	29	39	63	11	5	45.45%	13	6	53.85%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	73	51	70	20	41	20
25	Rangers	2	0	0	0	1	1	0	0	6	6	0	1	0	0	0	1	0	0	0	4	3	1	1	0	0	0	0	1	0	0	2	3	-1	3	0.750	6	11	17	0	0	2	2	1	1	59	16	17	24	2	85	22	26	27	10	0	0.00%	13	2	84.62%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	43	30	54	15	24	11
26	Red Wings	2	1	1	0	0	0	0	0	7	3	4	1	1	0	0	0	0	0	0	6	1	5	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	7	13	20	0	0	3	2	2	0	71	17	36	18	0	57	11	13	41	7	2	28.57%	4	0	100.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	55	39	37	12	26	14
27	Sabres	2	1	0	0	0	0	1	0	9	6	3	1	1	0	0	0	0	0	0	5	3	2	1	0	0	0	0	0	1	0	4	3	1	4	1.000	9	14	23	0	0	5	1	2	2	99	33	31	32	7	52	17	10	53	9	3	33.33%	4	2	50.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	51	36	47	14	26	13
28	Senators	2	1	1	0	0	0	0	0	5	5	0	1	0	1	0	0	0	0	0	2	3	-1	1	1	0	0	0	0	0	0	3	2	1	2	0.500	5	9	14	0	0	0	2	3	0	52	14	14	24	0	54	21	8	28	4	0	0.00%	4	2	50.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	44	29	48	14	26	13
29	Stars	3	0	2	0	0	1	0	0	4	9	-5	2	0	1	0	0	1	0	0	1	4	-3	1	0	1	0	0	0	0	0	3	5	-2	1	0.167	4	7	11	0	0	0	2	2	0	106	31	44	31	0	104	33	12	66	12	1	8.33%	6	1	83.33%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	79	57	64	20	36	18
30	Wild	3	0	3	0	0	0	0	0	5	11	-6	2	0	2	0	0	0	0	0	4	7	-3	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	5	10	15	0	0	3	1	1	0	101	34	36	31	0	108	27	20	57	7	0	0.00%	10	5	50.00%	0	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	74	53	69	20	36	18
	Total	82	29	36	0	2	5	5	5	214	245	-31	41	14	19	0	1	2	1	4	97	118	-21	41	15	17	0	1	3	4	1	117	127	-10	82	0.500	214	383	597	4	5	83	54	70	13	2405	825	776	777	61	2721	834	607	1659	260	56	21.54%	256	54	78.91%	3	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	1951	1347	1965	594	1060	529
	_Since Last GM Reset	82	29	36	0	2	5	5	5	214	245	-31	41	14	19	0	1	2	1	4	97	118	-21	41	15	17	0	1	3	4	1	117	127	-10	82	0.500	214	383	597	4	5	83	54	70	13	2405	825	776	777	61	2721	834	607	1659	260	56	21.54%	256	54	78.91%	3	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	1951	1347	1965	594	1060	529
	_Vs Conference	50	15	23	0	1	3	3	5	124	159	-35	25	8	10	0	0	2	1	4	54	70	-16	25	7	13	0	1	1	2	1	70	89	-19	46	0.460	124	223	347	1	2	51	34	35	7	1485	523	496	450	43	1678	524	359	1014	159	37	23.27%	153	34	77.78%	1	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	1203	833	1189	363	650	324
	_Vs Division	29	10	13	0	0	2	2	2	70	87	-17	15	5	6	0	0	1	1	2	31	40	-9	14	5	7	0	0	1	1	0	39	47	-8	28	0.483	70	128	198	1	2	24	23	21	5	812	283	259	262	22	967	314	198	606	88	21	23.86%	84	12	85.71%	1	1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%	678	464	704	215	379	187

			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	82	L1	214	383	597	2405	2721	834	607	1659	4	5

Tous les Matchs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
82	29	36	2	5	5	5	214	245

Matchs locaux
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	14	19	1	2	1	4	97	118

Matchs Éxtérieurs
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
41	15	17	1	3	4	1	117	127

Derniers 10 Matchs
W	L	OTW	OTL	SOW	SOL
3	5	0	2	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
260	56	21.54%	256	54	78.91%	3

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
825	776	777	61	83	54	70	13

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
1244	2735	45.48%	1360	2898	46.93%	596	1263	47.19%

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
1951	1347	1965	594	1060	529

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
1 - 2020-10-24	4	Sharks	3	Golden Knights	1	W			Sommaire du Match
3 - 2020-10-26	17	Golden Knights	2	Sharks	1	L	X	X	Sommaire du Match
4 - 2020-10-27	18	Sharks	0	Ducks	3	L			Sommaire du Match
7 - 2020-10-30	39	Sharks	2	Predators	3	L	X	X	Sommaire du Match
9 - 2020-11-01	48	Sharks	2	Blackhawks	4	L			Sommaire du Match
12 - 2020-11-04	76	Flames	4	Sharks	1	L			Sommaire du Match
15 - 2020-11-07	96	Hurricanes	1	Sharks	3	W			Sommaire du Match
18 - 2020-11-10	120	Sabres	3	Sharks	5	W			Sommaire du Match
21 - 2020-11-13	134	Sharks	4	Sabres	3	W	X	X	Sommaire du Match
23 - 2020-11-15	150	Sharks	1	Canadiens	4	L			Sommaire du Match
24 - 2020-11-16	158	Sharks	2	Maple Leafs	1	W			Sommaire du Match
26 - 2020-11-18	175	Sharks	3	Senators	2	W			Sommaire du Match
28 - 2020-11-20	180	Sharks	4	Bruins	3	W	X	X	Sommaire du Match
31 - 2020-11-23	201	Jets	1	Sharks	2	W			Sommaire du Match
32 - 2020-11-24	216	Canucks	5	Sharks	3	L			Sommaire du Match
35 - 2020-11-27	231	Blackhawks	4	Sharks	1	L			Sommaire du Match
37 - 2020-11-29	246	Wild	3	Sharks	2	L			Sommaire du Match
39 - 2020-12-01	259	Predators	2	Sharks	3	W			Sommaire du Match
42 - 2020-12-04	277	Oilers	0	Sharks	4	W			Sommaire du Match
44 - 2020-12-06	286	Sharks	3	Ducks	2	W			Sommaire du Match
46 - 2020-12-08	310	Red Wings	1	Sharks	6	W			Sommaire du Match
49 - 2020-12-11	328	Oilers	5	Sharks	2	L			Sommaire du Match
51 - 2020-12-13	345	Sharks	4	Golden Knights	3	W			Sommaire du Match
53 - 2020-12-15	356	Islanders	1	Sharks	2	W			Sommaire du Match
55 - 2020-12-17	368	Sharks	3	Kings	5	L			Sommaire du Match
57 - 2020-12-19	387	Jets	3	Sharks	5	W			Sommaire du Match
59 - 2020-12-21	400	Kings	2	Sharks	3	W			Sommaire du Match
60 - 2020-12-22	403	Sharks	2	Coyotes	4	L			Sommaire du Match
63 - 2020-12-25	431	Capitals	3	Sharks	5	W			Sommaire du Match
65 - 2020-12-27	439	Sharks	4	Hurricanes	0	W			Sommaire du Match
67 - 2020-12-29	461	Sharks	2	Lightning	4	L			Sommaire du Match
68 - 2020-12-30	465	Sharks	1	Panthers	0	W			Sommaire du Match
70 - 2021-01-01	479	Sharks	5	Predators	4	W			Sommaire du Match
72 - 2021-01-03	495	Rangers	3	Sharks	4	W	X		Sommaire du Match
74 - 2021-01-05	512	Canucks	2	Sharks	3	W			Sommaire du Match
77 - 2021-01-08	529	Coyotes	2	Sharks	1	L	X	X	Sommaire du Match
81 - 2021-01-12	561	Blues	4	Sharks	3	L	X	X	Sommaire du Match
82 - 2021-01-13	568	Golden Knights	2	Sharks	0	L			Sommaire du Match
87 - 2021-01-18	590	Kings	2	Sharks	3	W			Sommaire du Match
88 - 2021-01-19	597	Flyers	5	Sharks	0	L			Sommaire du Match
91 - 2021-01-22	619	Sharks	1	Red Wings	2	L			Sommaire du Match
93 - 2021-01-24	635	Sharks	5	Penguins	3	W			Sommaire du Match
95 - 2021-01-26	644	Sharks	5	Blue Jackets	2	W			Sommaire du Match
96 - 2021-01-27	658	Sharks	5	Capitals	3	W			Sommaire du Match
98 - 2021-01-29	671	Sharks	3	Blues	2	W	X		Sommaire du Match
100 - 2021-01-31	685	Blue Jackets	3	Sharks	2	L			Sommaire du Match
102 - 2021-02-02	699	Stars	2	Sharks	0	L			Sommaire du Match
105 - 2021-02-05	714	Sharks	3	Coyotes	2	W	X	X	Sommaire du Match
107 - 2021-02-07	729	Sharks	1	Avalanche	6	L			Sommaire du Match
109 - 2021-02-09	754	Sharks	3	Canucks	4	L			Sommaire du Match
118 - 2021-02-18	772	Ducks	1	Sharks	2	W	X	X	Sommaire du Match
120 - 2021-02-20	780	Canucks	2	Sharks	3	W			Sommaire du Match
123 - 2021-02-23	803	Lightning	4	Sharks	3	L			Sommaire du Match
126 - 2021-02-26	816	Sharks	4	Flames	6	L			Sommaire du Match
128 - 2021-02-28	830	Sharks	2	Oilers	4	L			Sommaire du Match
132 - 2021-03-04	863	Flames	2	Sharks	1	L	X		Sommaire du Match
136 - 2021-03-08	894	Sharks	3	Jets	2	W	X	X	Sommaire du Match
137 - 2021-03-09	900	Sharks	1	Wild	4	L			Sommaire du Match
139 - 2021-03-11	918	Panthers	2	Sharks	1	L			Sommaire du Match
142 - 2021-03-14	935	Sharks	2	Devils	4	L			Sommaire du Match
144 - 2021-03-16	952	Sharks	2	Rangers	3	L	X		Sommaire du Match
145 - 2021-03-17	965	Sharks	3	Islanders	0	W			Sommaire du Match
147 - 2021-03-19	977	Sharks	3	Flyers	4	L	X		Sommaire du Match
149 - 2021-03-21	990	Devils	4	Sharks	2	L			Sommaire du Match
151 - 2021-03-23	1007	Penguins	2	Sharks	4	W			Sommaire du Match
154 - 2021-03-26	1025	Maple Leafs	5	Sharks	3	L			Sommaire du Match
156 - 2021-03-28	1041	Wild	4	Sharks	2	L			Sommaire du Match
158 - 2021-03-30	1058	Senators	3	Sharks	2	L			Sommaire du Match
159 - 2021-03-31	1064	Avalanche	5	Sharks	4	L	X	X	Sommaire du Match
162 - 2021-04-03	1079	Sharks	4	Blackhawks	6	L			Sommaire du Match
164 - 2021-04-05	1097	Sharks	4	Blues	5	L			Sommaire du Match
165 - 2021-04-06	1103	Sharks	3	Stars	5	L			Sommaire du Match
168 - 2021-04-09	1124	Sharks	3	Avalanche	1	W			Sommaire du Match
170 - 2021-04-11	1144	Canadiens	4	Sharks	0	L			Sommaire du Match
172 - 2021-04-13	1161	Bruins	4	Sharks	1	L			Sommaire du Match
174 - 2021-04-15	1170	Sharks	3	Flames	4	L	X		Sommaire du Match
176 - 2021-04-17	1189	Sharks	2	Canucks	0	W			Sommaire du Match
178 - 2021-04-19	1200	Sharks	3	Oilers	6	L			Sommaire du Match
180 - 2021-04-21	1221	Coyotes	6	Sharks	2	L			Sommaire du Match
182 - 2021-04-23	1233	Sharks	4	Kings	3	W			Sommaire du Match
184 - 2021-04-25	1251	Stars	2	Sharks	1	L	X		Sommaire du Match
186 - 2021-04-27	1269	Ducks	3	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	6000	5000	4000	3000	1000
Prix des Billets	169	127	83	50	230
Assistance	233,125	182,114	157,074	120,586	39,258
Attendance PCT	94.77%	88.84%	95.78%	98.04%	95.75%

Revenus
Matchs à domicile Restants	Assistance Moyenne - %	Revenus Moyen par Match	Revenus Annuels à ce Jour	Capacité	Popularité de l'Équipe
0	17857 - 93.99%	2,210,302$	90,622,385$	19000	100

Dépenses
Dépenses Annuelles à Ce Jour	Salaire Total des Joueurs	Salaire Total Moyen des Joueurs	Salaire des Coachs	Valeur du Cap Salarial Spécial
75,716,337$	70,425,833$	70,425,833$	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
378,634$	73,716,321$	0$	22	1

Éstimation
Revenus de la Saison Éstimés	Jours Restants de la Saison	Dépenses Par Jour	Dépenses de la Saison Éstimées
0$	0	389,386$	0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées	Compte Bancaire Actuel	Compte Bancaire Projeté
0$	104,435,402$	104,435,402$

Cap Salarial de la Saison Éstimé	Cap Salarial Disponible	Cap Salarial Maximum	Au dessus du Plafond Salarial Minimum
73,716,321$	7,783,679$	81,500,000$	13,516,321$

Charte de Profondeur

Ailier Gauche

Centre

Ailier Droit

Filip Forsberg	AGE:26	PO:80	OV:73
Jakub Vrana	AGE:25	PO:79	OV:72
Mats Zuccarello	AGE:33	PO:73	OV:69
Mattias Janmark	AGE:28	PO:67	OV:66
Warren Foegele	AGE:25	PO:71	OV:65
Michael Frolik	AGE:33	PO:66	OV:65
Garnet Hathaway	AGE:29	PO:69	OV:64
Joakim Nordstrom	AGE:29	PO:67	OV:64
Adam Helewka	AGE:25	PO:65	OV:62
Nic Petan	AGE:26	PO:63	OV:62
Kieffer Bellows	AGE:22	PO:64	OV:61
Dylan Sikura	AGE:25	PO:64	OV:61
Joseph LaBate	AGE:28	PO:62	OV:61
Danick Martel	AGE:26	PO:62	OV:59
Matt Lorito	AGE:30	PO:60	OV:57
Cole Ully	AGE:26	PO:53	OV:53

Aleksander Barkov	AGE:25	PO:81	OV:79
Evgeny Kuznetsov	AGE:29	PO:78	OV:74
Robert Thomas	AGE:21	PO:70	OV:67
Mattias Janmark	AGE:28	PO:67	OV:66
Joakim Nordstrom	AGE:29	PO:67	OV:64
Zack MacEwen	AGE:24	PO:71	OV:62
Nic Petan	AGE:26	PO:63	OV:62
Dylan Sikura	AGE:25	PO:64	OV:61
Joseph LaBate	AGE:28	PO:62	OV:61
J.T. Brown	AGE:30	PO:59	OV:60

Jakub Vrana	AGE:25	PO:79	OV:72
Mats Zuccarello	AGE:33	PO:73	OV:69
Zack Kassian	AGE:30	PO:74	OV:68
Robert Thomas	AGE:21	PO:70	OV:67
Warren Foegele	AGE:25	PO:71	OV:65
Michael Frolik	AGE:33	PO:66	OV:65
Garnet Hathaway	AGE:29	PO:69	OV:64
Zack MacEwen	AGE:24	PO:71	OV:62
Nic Petan	AGE:26	PO:63	OV:62
Dylan Sikura	AGE:25	PO:64	OV:61
J.T. Brown	AGE:30	PO:59	OV:60
Matt Lorito	AGE:30	PO:60	OV:57
Alexey Toropchenko (R)	AGE:21	PO:55	OV:56
Cole Ully	AGE:26	PO:53	OV:53

Défense #1

Défense #2

Gardien

Kris Letang	AGE:34	PO:77	OV:77
Jared Spurgeon	AGE:31	PO:73	OV:74
Joel Edmundson	AGE:27	PO:65	OV:71
Justin Braun	AGE:34	PO:65	OV:70
T.J. Brodie	AGE:30	PO:64	OV:70
Mario Ferraro (R)	AGE:22	PO:61	OV:64

Gustav Forsling	AGE:24	PO:59	OV:60
Jimmy Schuldt (R)	AGE:26	PO:55	OV:58
Zac Leslie	AGE:27	PO:55	OV:58
Robbie Russo	AGE:28	PO:54	OV:58
Brogan Raferty (R)	AGE:26	PO:61	OV:57
Michael Downing	AGE:26	PO:50	OV:55

Darcy Kuemper	AGE:31	PO:79	OV:77
Eric Comrie	AGE:25	PO:63	OV:61
Laurent Brossoit	AGE:28	PO:58	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
Alex Jefferies	Sharks	2020	133
Alex Young	Sharks	2020	212
Alexander Gordin	Sharks	2020	165
Arvid Henrikson	Sharks	2016	205
Austin Osmanski	Sharks	2016	207
Austin Wong	Sharks	2018	193
Axel Rindell	Sharks	2020	164
Blake McLaughlin	Sharks	2018	69
Bobby Brink	Sharks	2019	38
Braden Doyle	Sharks	2019	187
Bryce Misley	Sharks	2017	141
Chase Pearson	Sharks	2015	120
Colby Williams	Sharks	2015	196
Connor Hurley	Sharks	2013	43
David Farrance	Sharks	2017	80
Declan McDonnell	Sharks	2020	169
Dmitry Zlodeyev	Sharks	2020	144
Eric Cornel	Sharks	2014	44
Filip Berglund	Sharks	2016	120
Filip Engaras	Sharks	2020	183
Henrik Tikkanen	Sharks	2020	185
Hugo Ollas	Sharks	2020	184
Isaak Phillips	Sharks	2020	170
Jacob Truscott	Sharks	2020	143
Jaydon Dureau	Sharks	2020	139
Jeremias Lindewall	Sharks	2020	207
Joey LaLeggia	Sharks	2012	120
John Leonard	Sharks	2018	181
Jonathan Dahlen	Sharks	2016	56
Karlis Cukste	Sharks	2015	166
Kevin Mandolese	Sharks	2018	162
Kristian Vesalainen	Sharks	2017	24
Lucas Feuk	Sharks	2019	101
Maksim Zhukov	Sharks	2017	90
Matej Blumel	Sharks	2019	96
Mike Robinson	Sharks	2015	129
Mitchell Mattson	Sharks	2016	118
Noah Ellis	Sharks	2020	174
Oliver Wahlstrom	Sharks	2018	8
Patrick Shea	Sharks	2015	203
Pavel Novak	Sharks	2020	138
Philip Kemp	Sharks	2017	199
Riley Duran	Sharks	2020	208
Stuart Skinner	Sharks	2017	87
Tarmo Reunanen	Sharks	2016	110
Timofey Spitserov	Sharks	2020	209
Timothy Gettinger	Sharks	2016	137

Choix au Repêchage

Année	R1	R2	R3	R4	R5	R6	R7
2021		TBL OTT SJS VGK	VAN	STL SJS
2022	SJS TBL	SJS	SJS	SJS CAR	SJS
2023	SJS	SJS	SJS	SJS	SJS	SJS
2024	SJS	SJS	SJS	SJS	SJS	SJS
2025	SJS	SJS	SJS	SJS	SJS	SJS	SJS

La base de donnée des nouvelles n'a pas été trouvée. Veuillez en créer une du STHS.

[2021-04-15 9:32:18 PM] - TRADE : From Sharks to Canucks : James Neal (70).
[2021-04-15 9:32:18 PM] - TRADE : From Canucks to Sharks : Y:2021-RND:3-VAN.
[2021-04-14 7:23:14 PM] - TRADE : From Sharks to Bruins : Jay Beagle (66).
[2021-04-14 7:23:14 PM] - TRADE : From Bruins to Sharks : Matej Blumel (P), Lucas Feuk (P).
[2021-04-13 4:49:54 PM] - TRADE : From Flyers to Sharks : Alexey Toropchenko (56), Joakim Nordstrom (64), Braden Doyle (P).
[2021-04-13 4:49:54 PM] - TRADE : From Sharks to Flyers : Cal Clutterbuck (67).
[2020-12-27 3:42:09 PM] - New Record for Team's Most Shots Blocked (21) in 1 Game for Sharks!
[2020-11-14 7:44:51 PM] - Brendan Leipsic was released.
[2020-11-14 7:44:51 PM] - Sharks paid $0 to release Brendan Leipsic.
[2020-10-27 7:33:43 PM] - Patrik Westerholm has been deleted from Sharks.
[2020-10-27 7:33:32 PM] - Jack Glover has been deleted from Sharks.
[2020-10-27 7:33:26 PM] - Sam Dove-McFalls has been deleted from Sharks.
[2020-10-27 7:33:20 PM] - Luc Snuggerud has been deleted from Sharks.
[2020-10-27 7:33:14 PM] - Ivan Chukarov has been deleted from Sharks.
[2020-10-27 7:33:07 PM] - Edgars Kulda has been deleted from Sharks.
[2020-10-24 4:46:50 PM] - Sharks drafts Alex Young as the #212 overall pick in the Entry Draft of year 2020.
[2020-10-24 4:46:35 PM] - Sharks drafts Timofey Spitserov as the #209 overall pick in the Entry Draft of year 2020.
[2020-10-24 4:46:27 PM] - Sharks drafts Riley Duran as the #208 overall pick in the Entry Draft of year 2020.
[2020-10-24 4:46:23 PM] - Sharks drafts Jeremias Lindewall as the #207 overall pick in the Entry Draft of year 2020.
[2020-10-24 4:45:09 PM] - TRADE : From Sharks to Flyers : Andrei Svetlakov (P).

[2021-05-28 4:24:36 PM] Eric Comrie from Sharks is back from Concussion Injury.
[2021-05-28 4:24:36 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2021-05-28 4:23:41 PM] Auto Lines Partial Function has been run for Sharks.
[2021-05-28 4:23:41 PM] Sharks lines errors : Starting Goalie is empty.
[2021-05-28 4:23:41 PM] Auto Roster Partial Function has been run for Sharks.
[2021-05-28 4:23:41 PM] Laurent Brossoit of Sharks was sent to pro.
[2021-05-28 4:23:41 PM] Sharks roster errors : Not enough Goalie available in Pro Team! 1 Dressed. 2 Required. Some errors will be automatically fixed.
[2021-05-26 6:19:05 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2021-05-26 6:19:04 PM] Zack MacEwen from Barracudas has scored a Hat Trick!
[2021-05-26 6:19:04 PM] Game 1251 - Eric Comrie from Sharks is injured (Concussion) and is out for 4 days.
[2021-05-24 7:50:53 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2021-05-24 7:50:53 PM] Last 7 Days Farm Star : 1 - Justin Dowling of Admirals (9-0-9) / 2 - Zack MacEwen of Barracudas (9-1-10) / 3 - Noah Gregor of Griffins (7-2-9)
[2021-05-22 2:26:23 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2021-05-22 2:26:22 PM] Last 30 Days Farm Star : 1 - Zack MacEwen of Barracudas (26-9-35) / 2 - Justin Dowling of Admirals (25-0-25) / 3 - Gabriel Gagne of Penguins (23-8-31)
[2021-05-22 2:26:22 PM] Zack MacEwen from Barracudas has scored a Hat Trick!
[2021-05-22 2:26:06 PM] Auto Lines Partial Function has been run for Sharks.
[2021-05-22 2:26:06 PM] Sharks lines errors : Normal line # 4 LW is empty. OT Forward #10 is empty.
[2021-05-22 2:26:06 PM] Auto Roster Partial Function has been run for Sharks.
[2021-05-22 2:26:06 PM] Adam Helewka of Sharks was sent to pro.
[2021-05-22 2:26:06 PM] Sharks roster errors : Not enough Forward available in Pro Team! 11 Dressed. 12 Required. Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2021-05-20 7:02:08 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2021-05-20 7:02:06 PM] Game 1200 - Michael Frolik from Sharks is injured (Strained Groin) and is out for 1 month.
[2021-05-18 7:42:51 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2021-05-16 5:40:23 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2021-05-14 8:41:37 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.
[2021-05-12 4:27:02 PM] Both Sharks and Barracudas lines for next game are empty. Current rosters/lines are not erased.

Michael Frolik est dehors pour 2 semaines à cause de Strained Groin Injury.

Afficher ou Masquer des Colonnes

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	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: 82 \| W: 36 \| L: 36 \| OTL: 10 \| P: 82 GF: 214 \| GA: 245 \| PP%: 21.54% \| PK%: 78.91% DG: Brian \| Morale : 50 \| Moyenne d'Équipe : 68