Puckéligue - Calendrier Pro Panthers

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	$$$
Ryan Donato	29	X	X			100.00	78	54	85	79	70	73	97	75	67	79	87	64	67	71	72	2,000,000$
Sam Reinhart	29		X	X		100.00	78	54	89	80	73	85	98	85	65	84	92	72	75	79	82	8,265,000$
Wyatt Johnston	22	X				100.00	65	42	94	82	69	79	99	85	86	81	88	74	48	64	66	8,400,000$
Adam Fox	27				X	100.00	65	41	87	79	66	87	93	81	25	78	56	82	53	69	72	9,500,000$
Adam Lowry (A)	32	X				100.00	84	80	88	79	82	70	90	62	92	70	73	82	25	79	82	3,250,000$
Pius Suter	29	X		X		100.00	69	42	92	75	64	76	98	70	76	71	82	80	53	68	69	1,600,000$
Mikhail Sergachev	27				X	100.00	71	44	87	82	79	92	94	88	25	71	60	91	63	73	78	8,500,000$
Kiefer Sherwood	30		X	X		100.00	99	57	86	75	70	68	95	69	40	72	75	77	25	65	66	775,000$
Adam Larsson	32				X	100.00	78	55	88	76	78	82	99	61	25	60	50	90	25	84	86	4,167,000$
Cole Caufield	24			X		99.00	71	42	94	81	61	78	99	84	36	79	90	60	76	65	66	7,850,000$
Alex Vlasic	24				X	100.00	69	44	94	82	83	88	99	69	25	65	48	93	25	61	61	4,500,000$
Jonathan Drouin	30		X			100.00	61	41	95	86	70	78	62	84	38	86	77	60	53	75	77	2,500,000$
Alex Tuch	29		X	X		100.00	73	66	83	81	82	81	99	78	46	79	90	82	88	72	76	4,750,000$
Jake Walman	29				X	100.00	73	44	81	76	78	86	82	79	25	72	51	89	25	65	66	3,400,000$
Pavel Dorofeyev	24		X	X		100.00	61	41	88	81	71	74	99	75	30	66	89	60	31	60	61	1,835,000$
Rickard Rakell	32		X			100.00	79	44	94	79	71	81	99	79	39	80	89	62	74	80	83	5,000,000$
MacKenzie Weegar	31				X	100.00	93	56	87	89	75	90	98	83	25	71	50	88	25	73	74	3,250,000$
Mark Scheifele (C)	32	X	X	X		99.00	73	54	79	82	78	84	99	80	87	86	92	61	65	82	85	8,500,000$
Rayé

MOYENNE D'ÉQUIPE						99.89	74	50	88	80	73	81	94	77	47	75	74	76	50	71	73

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	$$$
Linus Ullmark	32	100.00	75	74	73	86	75	74	72	77	80	75	95	65	66	5,000,000$
Sam Montembeault	28	100.00	71	92	88	85	69	73	69	72	69	71	75	63	63	750,000$
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
Nic Petan	30	X	X	X		100.00	61	40	92	79	62	56	64	68	44	60	55	65	25	60	60
Cutter Gauthier (R)	21		X			100.00	71	43	91	91	75	67	99	73	38	74	75	66	25	55	55
Daniil Miromanov	28			X	X	100.00	63	42	91	75	78	72	62	61	25	52	48	73	25	55	55
Alexandre Carrier	28				X	100.00	73	42	85	72	63	81	96	61	25	62	48	89	25	66	67
Mark Jankowski	30	X				100.00	65	54	84	76	80	63	77	61	79	58	72	76	25	69	70
Kevin Bahl	25				X	100.00	80	56	85	72	88	83	90	60	25	57	48	87	25	63	64
Teddy Blueger	31	X	X	X		100.00	78	54	85	75	69	67	99	61	86	67	59	80	75	69	71
Zack MacEwen	29	X		X		100.00	88	99	72	72	88	50	62	58	40	55	59	58	25	64	65
Yakov Trenin	28		X			100.00	97	61	80	79	75	63	93	61	39	60	59	75	25	68	69
Dakota Joshua	29	X				100.00	99	70	81	72	78	63	74	64	54	61	62	69	25	64	65
Jakob Pelletier	24	X	X			100.00	75	42	93	76	61	59	86	60	38	69	66	68	25	55	55
Trent Frederic	27	X				100.00	92	91	78	77	84	65	75	66	54	61	66	68	25	67	69

MOYENNE D'ÉQUIPE						99.89	74	50	88	80	73	81	94	77	47	75	74	76	50	71	73

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
Joey Daccord	29	100.00	75	87	83	78	73	77	70	73	76	75	49	58	58
Spencer Knight (R)	24	100.00	68	68	66	78	72	63	71	67	69	67	61	56	57
Rayé