Puckéligue - Calendrier Pro Lightning

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	$$$
Jaccob Slavin	31				X	99.00	61	42	96	91	77	83	98	59	25	60	49	92	50	78	82	5,300,000$
Charlie McAvoy	27				X	100.00	83	45	74	80	77	88	68	86	25	65	56	80	70	72	77	9,500,000$
Mitchell Marner	28			X		100.00	73	43	91	84	67	87	92	88	32	93	87	79	75	74	77	12,000,000$
Gabriel Vilardi	26	X				99.00	61	42	93	74	80	78	88	79	51	82	87	61	53	65	66	7,500,000$
Nicolas Roy (A)	28	X				100.00	75	54	82	75	77	69	88	68	80	68	72	73	47	68	72	3,000,000$
Vince Dunn	28				X	100.00	65	52	84	78	73	85	79	79	25	70	60	70	25	73	76	7,350,000$
Justin Robidas (R)	22	X				100.00	71	61	94	75	61	82	87	64	80	62	63	63	60	44	44	851,667$
Simon Benoit	26				X	100.00	91	70	78	79	81	70	95	61	25	50	47	88	25	65	66	1,350,000$
Matt Duchene	34	X				100.00	63	42	94	82	75	75	99	80	87	87	86	63	78	90	93	8,000,000$
Mark Stone	33			X		100.00	65	43	92	77	79	81	85	78	34	90	80	71	50	77	83	9,500,000$
Joona Koppanen (R)	27	X	X			100.00	99	48	99	74	82	65	83	62	55	50	59	80	25	45	45	775,000$
Kaiden Guhle	23				X	100.00	84	79	76	81	77	82	72	60	25	56	51	87	25	61	61	1,283,333$
Nick Blankenburg	27				X	100.00	73	42	87	81	62	78	90	67	25	54	49	85	25	57	57	825,000$
Brandon Duhaime	28		X	X		100.00	85	99	67	81	81	65	99	62	38	62	60	82	25	66	68	1,100,000$
Alex Ovechkin (A)	39		X			99.00	82	46	92	80	86	76	82	94	25	81	97	58	60	99	99	9,500,000$
Bobby McMann	29	X				100.00	83	55	88	83	80	67	91	68	31	65	78	63	25	59	59	1,350,000$
Adam Henrique	35	X	X	X		100.00	69	42	93	80	71	68	98	66	94	65	68	78	41	86	89	5,825,000$
Rayé
Jeremy Lauzon	28				X	100.00	99	99	64	77	86	74	52	61	25	43	47	89	25	66	68	2,000,000$

MOYENNE D'ÉQUIPE						99.83	77	56	86	80	76	76	86	71	43	67	66	76	44	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	$$$
Martin Jones	35	100.00	69	65	66	80	78	59	69	70	69	68	90	70	71	2,000,000$
Jake Oettinger	26	100.00	76	88	84	92	72	79	75	78	79	76	93	64	67	8,250,000$
Rayé

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
Brett Seney	29	X	X			100.00	65	59	79	72	59	71	74	62	50	62	57	59	54	44	44
Matt Luff	28			X		100.00	82	83	79	65	83	71	73	65	50	62	65	68	62	44	44
Barrett Hayton	25	X	X			100.00	63	52	84	84	74	73	99	74	94	76	75	68	25	65	66
Jack Studnicka	26	X				100.00	71	69	76	74	69	81	87	61	76	59	59	62	56	44	45
Austin Czarnik	32	X	X	X		100.00	67	41	89	80	59	51	88	64	69	53	55	65	25	65	65
Tyler Angle	24	X				100.00	69	62	84	63	62	67	70	56	70	50	57	60	54	44	44
Noah Philp	27	X				100.00	75	44	95	78	74	53	85	55	67	61	55	60	25	45	45
Brogan Rafferty	30				X	100.00	79	74	89	65	74	64	68	51	25	43	45	63	43	44	44
Jeff Malott	29		X			100.00	81	94	83	72	82	56	90	62	44	58	55	64	25	45	45
Brandon Saad	32		X	X		100.00	59	42	97	78	78	68	89	64	33	69	71	67	36	84	90

MOYENNE D'ÉQUIPE						99.83	77	56	86	80	76	76	86	71	43	67	66	76	44	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
Charlie Lindgren	31	100.00	63	69	68	75	65	60	73	64	65	63	79	60	61
Vadim Zherenko (R)	24	100.00	49	50	63	84	49	50	50	55	50	50	30	44	44
Rayé