Puckéligue - Calendrier Pro Canucks

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	$$$
Robert Thomas	26	X	X	X		100.00	59	41	90	80	74	83	87	79	96	93	81	73	63	70	73	8,125,000$
Thomas Chabot	28				X	100.00	69	43	90	82	74	87	97	74	25	70	51	83	25	72	72	8,000,000$
Pavel Buchnevich	30		X	X		100.00	67	52	90	81	73	80	93	78	48	82	77	70	43	74	75	5,800,000$
Braden Schneider	23				X	100.00	83	45	92	82	80	74	97	61	25	54	49	86	25	65	68	2,200,000$
Luke Kunin	27	X		X		100.00	90	69	79	80	72	68	92	65	63	59	68	79	25	70	71	775,000$
Chris Kreider	34		X			100.00	77	45	89	85	85	74	86	82	40	61	83	74	53	82	89	6,500,000$
Jason Robertson	26		X			100.00	69	43	92	78	77	77	99	86	35	84	89	65	91	68	71	7,750,000$
Calle Jarnkrok	33	X	X	X		100.00	71	43	92	77	70	64	46	64	32	76	57	76	48	78	83	2,100,000$
Joel Eriksson Ek	28	X	X	X		100.00	83	45	85	83	77	83	65	87	84	76	81	78	38	73	75	5,200,000$
Kevin Stenlund	28	X		X		100.00	67	43	85	74	79	67	99	61	97	63	70	84	25	65	67	2,000,000$
Mattias Ekholm	35				X	100.00	67	44	86	77	85	85	84	65	25	67	56	82	25	82	88	6,250,000$
Jamie Oleksiak	32				X	100.00	73	45	87	76	93	76	99	61	25	52	48	91	25	77	80	2,137,500$
Taylor Raddysh	27	X		X		100.00	69	43	92	79	76	62	97	66	34	70	59	67	25	66	66	758,333$
Ross Colton	28	X	X			100.00	89	45	90	79	70	67	78	72	43	66	77	64	80	67	71	4,000,000$
Hampus Lindholm	31				X	100.00	61	42	91	79	83	81	44	78	25	58	60	96	25	79	83	6,500,000$
Joel Edmundson	32				X	100.00	79	45	90	76	84	81	90	59	25	54	49	83	25	74	79	3,850,000$
Philip Tomasino	24	X				100.00	75	43	95	77	70	64	78	68	34	66	71	61	63	63	64	863,334$
Nathan MacKinnon	30	X				100.00	65	52	84	97	73	90	98	93	89	97	88	60	61	82	87	12,600,000$
Rayé

MOYENNE D'ÉQUIPE						100.00	73	46	89	80	78	76	85	72	47	69	67	76	43	73	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	$$$
Jacob Markstrom	35	100.00	65	79	78	87	65	64	76	67	65	65	85	72	74	6,000,000$
Filip Gustavsson	27	100.00	84	89	85	72	84	83	74	84	84	84	85	61	62	3,750,000$
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
Justin Bailey	30			X		100.00	81	81	81	71	81	78	83	59	50	53	60	66	57	44	44
Josh Mahura	27				X	100.00	79	44	90	72	70	63	81	59	25	51	47	71	25	64	66
Oliver Kylington	28				X	100.00	59	41	87	84	67	59	46	60	25	55	48	70	25	63	64
Wade Allison	27			X		100.00	76	76	76	61	76	72	77	55	50	47	58	64	55	50	50
Ian Mitchell	26				X	100.00	61	41	95	80	70	67	78	66	25	46	47	72	25	57	57
Matias Maccelli	24		X			100.00	57	40	94	78	67	65	72	69	44	64	68	60	25	64	64
Jonas Siegenthaler	28				X	100.00	79	45	77	75	79	78	72	62	25	50	48	88	25	68	70
Jacob Bernard-Docker	25				X	100.00	71	56	87	73	73	62	60	60	25	51	48	69	25	59	59
Filip Hronek	27				X	100.00	80	44	81	78	70	89	78	74	25	70	49	83	25	70	71
Boris Katchouk	27		X			100.00	77	75	80	71	75	79	83	63	50	60	62	65	59	44	44
Jack Johnson	38				X	100.00	65	43	98	74	82	60	60	60	25	51	47	80	61	92	95
Michael Eyssimont	28	X	X			100.00	82	91	65	75	72	61	89	68	39	63	66	66	25	59	60
Dmitry Kulikov	34				X	100.00	81	45	84	74	77	78	87	58	25	50	48	81	53	86	89
Jimmy Huntington	26	X				100.00	75	72	83	62	72	71	75	59	74	53	60	63	57	44	44
Bokondji Imama	29		X			100.00	93	99	50	73	83	43	60	56	25	50	57	61	25	46	46
Isaak Phillips	23				X	100.00	75	77	69	66	77	78	86	48	25	38	41	62	39	50	50
Angus Crookshank	25		X			100.00	70	65	83	73	65	81	86	63	50	56	65	62	62	45	45
Adam Erne	30		X	X		100.00	77	77	77	66	77	36	34	47	59	45	44	61	42	44	44
Curtis Hall	25	X				100.00	84	79	95	63	79	37	36	45	56	38	46	64	44	44	44
Layton Ahac (R)	24				X	100.00	76	72	86	65	72	63	68	44	25	33	39	60	37	44	44

MOYENNE D'ÉQUIPE						100.00	73	46	89	80	78	76	85	72	47	69	67	76	43	73	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
Calvin Petersen	30	100.00	64	74	71	70	65	60	74	64	65	63	75	54	54
Sebastian Cossa (R)	22	100.00	59	53	66	94	61	60	59	65	61	61	30	44	44
Rayé