Puckéligue - Calendrier Pro Sharks

FORMATION

Afficher ou Masquer des Colonnes

Astuces sur les Filtres

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	AGE	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	$$$
Ondrej Palat	34		X			99.00	81	44	94	79	70	66	94	64	31	63	71	65	37	81	89	6,000,000$
Lawson Crouse	28		X	X		100.00	89	68	85	80	81	65	98	67	41	57	68	69	25	74	75	4,300,000$
Sean Walker	30				X	100.00	76	43	83	84	69	70	99	63	25	50	48	75	25	68	69	3,600,000$
Alexandre Texier	25	X		X		99.00	67	42	89	79	74	62	54	65	25	63	71	63	80	64	65	2,100,000$
Ryan Ellis	34				X	99.00	67	42	90	85	65	89	67	76	25	67	56	81	63	72	75	6,250,000$
Kevin Hayes	33	X	X	X		99.00	71	44	95	75	82	62	81	75	81	63	72	66	56	79	82	7,142,857$
Mike Hardman	26		X	X		100.00	80	76	89	70	76	73	76	61	50	56	62	67	59	47	47	775,000$
Justin Holl	33				X	100.00	65	42	92	72	74	65	90	60	25	47	48	75	25	68	70	3,400,000$
Josh Anderson	31			X		100.00	87	59	70	92	84	67	98	61	57	62	71	77	63	75	78	5,500,000$
Dryden Hunt	29		X	X		100.00	72	70	78	73	70	69	70	68	50	67	62	69	59	64	65	775,000$
Taylor Hall	33		X	X		100.00	67	43	86	84	77	69	94	72	44	75	74	66	52	83	85	6,000,000$
Jeff Petry	37				X	100.00	77	44	88	83	77	76	62	60	25	52	47	81	25	85	88	6,250,000$
Mackenzie MacEachern	31		X			100.00	70	73	64	69	73	60	60	63	50	62	61	62	58	44	45	775,000$
Clark Bishop	29	X				100.00	76	72	86	68	72	82	87	62	78	56	63	66	60	49	50	775,000$
Colin Miller	32				X	100.00	79	44	82	75	74	65	77	62	25	53	49	67	25	74	77	1,500,000$
Nick Leddy	34				X	100.00	59	41	97	86	74	76	54	60	25	49	48	72	63	87	94	4,000,000$
Jeff Skinner	33		X			99.00	67	42	88	80	72	63	89	65	49	64	73	61	41	88	88	9,000,000$
Tye Felhaber (R)	27	X	X	X		100.00	64	67	56	67	67	82	88	62	50	57	63	59	60	44	44	775,000$
Rayé
Radim Simek	32				X	100.00	75	72	82	65	72	61	64	52	25	44	41	66	39	63	63	2,250,000$
Ryan Lomberg	30		X			100.00	80	94	80	79	66	52	97	61	34	61	56	67	25	67	69	2,000,000$

MOYENNE D'ÉQUIPE						99.75	73	56	84	77	73	69	80	64	41	58	60	69	47	69	71

Afficher ou Masquer des Colonnes

Astuces sur les Filtres

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	AGE	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	$$$
Ville Husso	30	100.00	59	52	53	81	66	52	69	60	65	59	75	59	60	4,750,000$
Ilya Samsonov	28	98.00	62	59	59	82	65	58	69	62	65	62	73	62	64	3,500,000$
Rayé
Semyon Varlamov	37	88.58	59	45	50	78	66	52	69	62	65	59	91	75	79	0$

FARM TEAM

Afficher ou Masquer des Colonnes

Astuces sur les Filtres

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	AGE	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD
Jani Nyman (R)	21			X		100.00	76	44	89	72	78	66	86	78	25	70	76	65	25	45	45
Zach Benson (R)	20		X			100.00	65	41	77	77	62	68	92	70	31	69	64	69	25	60	60
Cam Lund (R)	21	X				100.00	67	42	88	74	73	59	53	67	56	59	71	64	25	45	45
Jeremy Davies	28				X	100.00	72	67	82	67	67	81	87	59	25	52	51	62	48	44	44
Maxence Guenette (R)	24				X	100.00	80	78	83	66	78	70	75	54	25	42	51	65	48	44	44
Roby Jarventie (R)	23		X			100.00	77	79	72	68	79	57	55	66	50	62	66	66	63	44	44
Aatu Raty (R)	22	X				100.00	89	46	87	67	72	57	91	60	92	61	72	62	25	48	48
David Jiricek (R)	21				X	100.00	75	44	85	74	77	59	62	61	25	52	49	67	25	50	50
Logan Morrison (R)	23	X				100.00	76	69	92	66	69	81	87	60	75	59	57	64	54	44	44
Cole McWard (R)	24				X	100.00	77	71	91	67	71	76	83	51	25	46	42	62	40	44	44
Lian Bichsel (R)	21				X	100.00	99	63	70	68	89	65	83	60	25	50	51	68	25	47	47
Caedan Bankier (R)	22	X				100.00	76	72	84	64	72	78	84	56	70	50	57	63	54	44	44
William Stromgren (R)	22		X			100.00	78	73	91	67	73	80	85	62	50	62	57	66	54	44	44
Ethan Samson (R)	22				X	100.00	79	77	83	63	77	77	84	52	25	38	52	64	49	44	44
Ethan Cardwell (R)	23			X		100.00	71	66	81	68	66	80	85	62	50	64	57	62	54	44	44
Scott Morrow (R)	22				X	100.00	59	42	99	72	78	68	82	60	25	67	49	67	25	45	45
Stian Solberg (R)	19				X	100.00	81	76	93	62	76	60	61	57	25	46	53	66	50	44	44
Mark Friedman	29				X	100.00	71	67	79	70	67	49	50	51	25	43	41	62	39	55	56
Ville Petman	25	X	X			100.00	72	65	89	65	65	72	79	49	61	47	45	59	43	44	44
John Ludvig	25				X	100.00	78	77	81	72	77	57	59	52	25	48	40	64	38	47	47
Hardy Haman Aktell	27				X	100.00	76	74	81	66	74	42	41	50	25	47	39	62	37	44	44
Jacob Melanson (R)	22			X		100.00	72	74	68	66	74	59	61	53	50	46	56	60	53	44	44
Jon-Randall Avon (R)	22	X				100.00	73	64	93	62	64	71	76	51	64	47	50	60	48	44	44
Alexis Gendron (R)	21	X		X		100.00	70	66	79	63	66	74	79	56	50	46	62	60	59	44	44
Michael Benning (R)	23				X	100.00	68	62	82	66	62	51	50	58	25	50	51	60	48	44	44
Konsta Helenius (R)	19	X				100.00	73	67	87	66	67	55	54	60	75	57	58	63	55	44	44
Emmitt Finnie (R)	20	X				100.00	79	71	99	62	71	39	34	59	74	62	51	65	48	44	44
Sam Lipkin (R)	22		X			100.00	72	67	85	64	67	52	52	53	50	44	57	60	54	44	44
Jake Furlong (R)	21				X	100.00	77	72	90	62	72	73	81	45	25	35	39	61	37	44	44
Ben Hemmerling (R)	21			X		100.00	75	67	95	61	67	43	42	47	50	43	46	60	44	44	44
Dyllan Gill (R)	21				X	100.00	78	73	91	62	73	41	40	45	25	34	41	61	39	44	44

MOYENNE D'ÉQUIPE						99.75	73	56	84	77	73	69	80	64	41	58	60	69	47	69	71

Afficher ou Masquer des Colonnes

Astuces sur les Filtres

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	AGE	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD
Kevin Mandolese	25	100.00	51	44	55	87	53	53	52	56	55	54	30	44	44
Rayé