Puckéligue - Calendrier Pro Wild

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	$$$
Jesperi Kotkaniemi	25	X				100.00	71	57	81	80	76	67	95	67	85	72	68	60	63	71	75	4,820,000$
Seth Jarvis	23	X		X		100.00	78	43	92	94	65	81	92	87	43	82	90	76	25	66	68	7,420,000$
Brett Howden	27	X	X	X		100.00	80	58	83	81	75	68	97	59	78	66	80	71	25	69	71	1,900,000$
Ilya Lyubushkin	31				X	100.00	76	44	87	73	75	72	97	61	25	52	47	90	25	70	71	2,750,000$
Henri Jokiharju	26				X	100.00	71	43	92	83	73	74	79	63	25	50	48	75	25	69	69	2,500,000$
Matthew Beniers	23	X				100.00	69	42	91	83	66	77	96	81	84	74	71	66	38	61	61	1,897,500$
Sam Steel	27	X	X	X		100.00	71	53	88	83	69	67	96	62	72	69	58	78	25	69	71	2,100,000$
Aliaksei Protas	24	X				99.00	61	43	91	82	91	73	93	59	33	82	87	71	25	64	65	3,375,000$
Jackson LaCombe	24				X	100.00	73	44	88	82	76	85	92	78	25	68	60	87	25	60	60	925,000$
Ryan Lindgren	27				X	100.00	76	43	83	77	70	78	89	60	25	59	48	85	25	69	72	3,000,000$
Pavel Mintyukov	21				X	100.00	77	44	90	78	74	72	85	67	25	55	49	79	25	59	59	918,000$
Justin Faulk	33				X	100.00	76	44	88	79	76	85	95	76	25	67	48	80	25	85	87	6,500,000$
Connor McMichael	24	X	X			99.00	65	51	82	81	67	74	99	74	45	79	83	68	25	64	65	2,100,000$
Jordan Martinook	33	X	X	X		100.00	76	44	92	78	75	70	96	60	45	72	71	77	75	78	82	3,050,000$
Sean Durzi	26				X	100.00	65	63	82	79	73	81	53	68	25	57	54	77	25	64	65	6,000,000$
Ridly Greig	23	X	X			100.00	83	58	78	79	69	75	95	75	74	72	70	80	25	61	61	3,250,000$
Simon Holmstrom	24			X		100.00	63	42	96	79	79	74	92	74	30	76	78	74	70	62	63	3,625,000$
Teuvo Teravainen	30		X	X		99.00	61	41	94	76	69	75	99	80	44	83	71	75	81	79	84	5,400,000$
Rayé
Adam Boqvist	25				X	100.00	63	41	90	76	70	64	56	74	25	63	51	63	25	64	65	850,000$
Curtis Lazar	30	X	X	X		100.00	87	45	90	84	73	57	65	61	83	56	56	73	25	74	76	1,000,000$

MOYENNE D'ÉQUIPE						99.85	72	47	88	80	73	73	88	69	46	68	64	75	35	68	70

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	$$$
Mackenzie Blackwood	28	100.00	78	86	83	90	75	82	80	78	82	79	67	64	64	2,350,000$
Joseph Woll	27	100.00	77	72	69	82	81	73	70	78	79	77	89	54	55	3,670,000$
Rayé
Jonathan Quick	39	100.00	61	54	58	80	65	56	69	62	65	61	75	80	85	5,800,000$
Felix Sandstrom	28	100.00	49	44	55	81	49	48	52	55	50	50	30	44	44	775,000$

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
Tyson Jost	27	X	X			100.00	77	57	76	79	68	56	70	63	52	61	59	61	25	71	74
Max Jones	27		X			100.00	92	47	80	75	80	54	81	56	25	54	56	62	25	65	65
Scott Perunovich	27				X	100.00	63	41	90	81	63	69	56	66	25	54	48	66	25	57	58
Givani Smith	27		X	X		100.00	80	99	63	73	81	45	46	61	25	50	55	68	25	61	62
Martin Pospisil	25	X				100.00	99	79	71	87	67	66	99	65	45	71	57	60	25	59	59
Oliver Wahlstrom	25			X		100.00	71	87	76	77	78	56	79	65	56	57	58	64	59	64	65
Alexander Holtz	23			X		100.00	69	42	93	79	71	59	86	62	32	62	58	61	25	60	60
Jamieson Rees (R)	24	X				100.00	74	66	91	63	66	47	46	52	65	53	47	61	45	44	44

MOYENNE D'ÉQUIPE						99.85	72	47	88	80	73	73	88	69	46	68	64	75	35	68	70

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
Zach Sawchenko	27	100.00	52	48	60	71	53	54	52	57	55	54	30	44	44
Rayé
Hunter Jones	24	100.00	59	47	59	83	64	66	58	64	68	66	30	44	44