Puckéligue - Calendrier Pro Stars

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	$$$
Zach Aston-Reese	31		X	X		100.00	88	56	89	79	74	65	96	61	31	62	58	75	25	68	70	775,000$
Haydn Fleury	29				X	100.00	77	44	94	80	78	68	59	61	25	53	47	84	25	66	67	775,000$
Evan Rodrigues	32	X	X	X		100.00	81	44	86	83	66	69	99	69	54	66	71	61	59	73	75	3,000,000$
Jamie Drysdale	23				X	100.00	61	41	90	87	67	79	87	74	25	54	50	68	25	63	63	2,300,000$
Noah Juulsen	28				X	100.00	94	67	82	72	76	69	56	62	25	39	47	92	25	60	61	775,000$
Brent Burns	40				X	100.00	57	42	89	77	85	81	99	71	25	62	49	84	59	99	99	8,000,000$
Pierre-Olivier Joseph	26				X	100.00	73	43	91	74	70	66	82	63	25	52	48	74	25	60	60	825,000$
Nicolas Aube-Kubel	29			X		100.00	83	75	76	78	77	54	56	62	56	55	57	70	25	66	68	775,000$
Jonathan Marchessault	34		X	X		100.00	75	53	86	75	66	77	95	83	35	81	78	60	59	78	84	5,000,000$
Evander Kane	34		X			100.00	97	70	70	85	77	74	76	74	44	71	82	65	37	83	85	5,125,000$
Mats Zuccarello	38		X	X		98.00	65	41	89	79	63	81	88	87	37	83	79	63	84	83	88	6,000,000$
Nick Cousins	32	X	X	X		100.00	82	56	77	75	68	61	67	61	29	64	62	67	60	76	80	1,100,000$
Joel Armia	32			X		99.00	76	44	93	79	80	67	99	68	31	67	66	84	38	74	77	3,400,000$
John Klingberg	33				X	100.00	65	42	79	74	70	71	39	59	25	61	50	69	25	76	80	4,150,000$
Jordan Eberle	35			X		100.00	61	41	89	77	66	73	61	78	37	79	72	69	64	87	91	4,750,000$
Lars Eller	36	X				99.00	69	43	86	79	76	65	98	63	86	62	64	72	61	89	95	3,500,000$
Fabian Zetterlund	26			X		100.00	84	45	94	81	78	73	99	74	57	72	74	64	80	64	64	4,275,000$
Dylan DeMelo	32				X	100.00	82	44	86	74	71	83	99	59	25	54	48	81	25	75	77	4,900,000$
Rayé
Michael Pezzetta	27	X	X			100.00	94	95	73	75	81	44	50	59	33	50	55	65	63	62	62	812,000$
Tomas Nosek	32	X	X			100.00	79	44	94	77	74	55	76	60	82	62	55	71	25	71	74	3,000,000$

MOYENNE D'ÉQUIPE						99.80	77	52	86	78	73	69	79	67	39	62	61	72	44	74	76

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	$$$
Alex Stalock	38	100.00	48	48	60	73	47	47	50	54	48	48	30	44	44	750,000$
Pheonix Copley	33	98.00	56	53	66	84	56	57	59	63	59	59	30	54	55	1,500,000$
Rayé
Jacob Ingham	25	100.00	44	40	50	86	45	89	45	49	90	81	45	44	44	775,000$
Arturs Silovs (R)	24	100.00	59	52	51	83	65	52	69	60	65	59	75	45	46	786,000$

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
Taro Hirose	29		X			100.00	70	59	94	60	59	75	79	62	50	62	56	63	53	50	50
Libor Hajek	27				X	100.00	72	75	66	65	75	48	50	43	25	28	39	61	37	57	57
Kole Sherwood	28			X		100.00	77	77	77	65	77	57	59	50	50	47	48	62	46	45	45
Dennis Gilbert	28				X	100.00	87	99	54	69	83	54	52	57	25	55	47	74	25	57	57
Riley Stillman	27				X	100.00	73	80	56	66	80	57	60	49	25	37	42	64	40	60	61
Michael Carcone	29		X			100.00	73	65	80	83	65	59	70	64	44	68	64	62	25	60	60
John Beecher (R)	24	X				100.00	76	45	89	74	82	59	95	62	79	60	56	81	25	59	60
Markus Niemelainen	27				X	100.00	79	76	85	65	76	58	62	45	25	35	40	62	38	46	46

MOYENNE D'ÉQUIPE						99.80	77	52	86	78	73	69	79	67	39	62	61	72	44	74	76

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
Rayé