Puckéligue - Calendrier Pro Wild

FORMATION

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Astuces sur les Filtres (Anglais seulement)

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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD
Jesperi Kotkaniemi	X				100.00	69	43	86	83	73	63	98	69	83	65	68	62	75	69	72
Brett Howden	X	X	X		100.00	77	44	84	80	74	64	80	64	62	62	60	78	25	67	69
Tyson Jost	X	X			100.00	75	43	92	82	67	57	87	64	58	57	58	70	75	69	72
Matthew Beniers	X				98.00	69	42	91	83	66	77	96	81	84	74	71	66	38	61	61
Max Jones		X			100.00	89	58	82	74	82	62	78	71	34	65	59	68	25	65	65
Sam Steel	X	X	X		98.00	71	52	88	81	68	64	88	65	50	65	62	81	25	67	68
Curtis Lazar	X	X	X		100.00	90	60	82	80	76	62	77	64	65	70	59	76	25	72	74
Oliver Wahlstrom			X		100.00	76	44	91	80	78	58	55	70	37	61	57	65	61	62	63
Rasmus Kupari	X				100.00	79	70	80	77	70	64	70	45	58	56	53	59	42	60	61
Adam Boqvist				X	100.00	61	41	99	82	64	75	60	77	25	60	48	67	25	63	63
Ilya Lyubushkin				X	100.00	89	56	78	76	75	71	88	62	25	49	47	90	25	67	68
Henri Jokiharju				X	100.00	77	44	89	82	70	76	84	64	25	57	48	76	25	67	67
Juuso Valimaki				X	100.00	75	44	93	75	78	77	90	69	25	56	48	75	25	63	63
Jackson LaCombe (R)				X	100.00	69	43	89	79	75	78	73	67	25	55	48	90	25	53	53
Ryan Lindgren				X	100.00	80	44	86	79	70	78	87	61	25	53	48	86	25	67	69
Pavel Mintyukov (R)				X	100.00	78	44	88	83	72	76	69	77	25	68	48	76	25	51	51
Justin Faulk				X	100.00	79	56	81	81	78	84	88	77	25	71	48	85	25	81	84
Sean Durzi				X	100.00	67	52	77	82	69	86	91	91	25	69	53	80	25	63	64
Rayé
Seth Jarvis	X		X		100.00	79	43	94	88	62	79	99	85	57	80	88	78	25	64	66
Jordan Martinook	X	X	X		100.00	69	42	86	79	71	68	99	65	50	67	70	76	75	74	77
Teuvo Teravainen		X	X		100.00	59	41	95	81	69	73	89	79	47	78	84	74	47	74	78
Travis Dermott				X	100.00	75	44	84	81	74	72	54	63	25	49	48	89	25	66	68

MOYENNE D'ÉQUIPE					99.82	75	48	87	80	72	71	82	70	43	63	58	76	36	66	67

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD
Jonathan Quick	100.00	69	64	66	79	68	71	75	72	81	70	95	79	80
Mackenzie Blackwood	100.00	64	64	64	89	66	62	69	64	65	64	65	62	62
Rayé
Joseph Woll	100.00	66	56	55	77	67	66	75	67	77	67	75	47	48

MOYENNE D'ÉQUIPE	100.00	66	61	62	82	67	66	73	68	74	67	78	63	63

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire

FARM TEAM

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD
Aliaksei Protas	X				100.00	63	43	96	76	85	65	89	66	41	74	58	79	25	61	61
Alexander Holtz			X		100.00	65	42	94	80	70	59	75	70	34	62	72	58	25	57	57
Connor McMichael	X	X			100.00	67	42	87	80	66	72	88	70	76	65	74	75	25	60	61
Givani Smith		X	X		100.00	89	99	70	71	79	50	64	62	36	58	56	65	25	60	61
Martin Pospisil	X				100.00	99	78	55	75	70	63	63	65	42	70	64	63	25	51	51
Ridly Greig (R)	X	X			100.00	83	58	74	79	67	68	81	69	66	64	71	75	25	55	55
Simon Holmstrom			X		100.00	61	41	93	78	70	65	88	63	34	61	72	82	53	58	58
Jamieson Rees (R)	X				100.00	71	65	86	62	65	68	73	48	60	47	44	59	42	44	44
Scott Perunovich				X	100.00	67	41	92	80	61	67	58	76	25	64	47	63	25	49	50

MOYENNE D'ÉQUIPE					99.82	75	48	87	80	72	71	82	70	43	63	58	76	36	66	67

Afficher ou Masquer des Colonnes

Astuces sur les Filtres (Anglais seulement)

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	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD
Felix Sandstrom	100.00	47	50	63	75	45	46	50	53	47	48	30	46	46
Rayé
Zach Sawchenko	100.00	46	52	65	70	45	47	45	51	45	45	45	44	44
Hunter Jones	100.00	59	47	59	83	64	66	58	64	68	66	30	44	44

MOYENNE D'ÉQUIPE	100.00	66	61	62	82	67	66	73	68	74	67	78	63	63