Puckéligue - Calendrier Pro Oilers

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	$$$
Darnell Nurse (A)	30				X	100.00	86	79	74	82	83	85	93	66	25	67	49	82	25	78	82	9,250,000$
Ryan Nugent-Hopkins	32	X	X			100.00	61	41	90	83	71	79	95	85	74	78	77	75	65	85	89	5,125,000$
Yegor Sharangovich	27	X	X	X		100.00	59	41	96	79	73	74	90	75	58	66	74	66	71	67	68	3,100,000$
Jakob Chychrun	27				X	100.00	71	44	80	85	79	82	91	75	25	67	66	68	45	73	74	9,500,000$
Trevor Zegras	24	X	X			100.00	73	54	87	81	69	75	74	78	50	77	72	64	92	65	65	5,750,000$
Brian Dumoulin	33				X	100.00	73	44	93	82	80	78	97	61	25	58	48	85	25	77	82	3,150,000$
Ryan Poehling	26	X	X			100.00	63	42	91	82	75	66	85	63	86	73	71	79	75	65	65	1,900,000$
Kent Johnson	22	X	X			100.00	55	40	91	80	67	76	85	81	25	82	85	68	85	62	62	1,800,000$
Thomas Harley	24				X	100.00	63	42	92	79	79	88	96	78	25	70	61	81	25	62	64	863,333$
Adrian Kempe	28	X	X	X		97.00	77	44	86	91	75	80	99	81	40	82	89	73	85	75	77	5,500,000$
Peyton Krebs	24	X	X			100.00	82	76	79	80	70	66	98	66	77	67	62	71	25	66	66	863,333$
Leon Draisaitl (A)	29	X	X	X		100.00	61	42	85	89	76	87	88	87	96	91	98	61	63	80	84	8,500,000$
Victor Hedman	34				X	100.00	65	44	88	83	92	87	98	81	25	77	60	80	57	89	98	7,875,000$
Radek Faksa	31	X	X			100.00	81	45	87	76	80	64	87	62	93	62	58	78	75	77	81	2,000,000$
Jake Neighbours	23		X			100.00	86	77	80	78	74	72	99	73	33	74	78	63	85	63	63	836,000$
Simon Edvinsson (R)	22				X	100.00	76	55	76	78	81	82	95	63	25	64	50	84	25	56	56	1,775,000$
Tomas Hertl	31	X	X			100.00	79	45	91	79	82	75	90	79	95	79	90	62	38	80	84	8,137,500$
Dylan Samberg	26				X	100.00	73	44	87	75	81	82	77	62	25	57	50	91	25	63	64	5,750,000$
Rayé
James van Riemsdyk	36		X			100.00	63	52	89	77	78	62	88	66	34	73	74	61	58	88	93	900,000$

MOYENNE D'ÉQUIPE						99.84	71	50	86	81	77	77	91	73	49	72	69	73	55	72	75

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	$$$
Joel Blomqvist	23	100.00	59	54	53	80	65	52	69	60	65	59	75	45	45	886,000$
Andrei Vasilevskiy	31	100.00	90	93	90	91	91	88	87	90	88	90	95	73	79	9,500,000$
Rayé
Dennis Hildeby (R)	24	100.00	54	52	65	92	54	55	55	60	55	55	30	44	44	841,667$

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
Anthony Beauvillier	28	X	X			100.00	82	44	94	84	66	63	98	61	40	61	71	64	75	75	78
Miles Wood	29		X	X		100.00	78	77	65	94	75	59	58	61	33	60	60	71	25	72	74
Steven Santini	30				X	100.00	82	79	89	66	79	69	75	50	25	39	43	68	41	58	59
Nicholas Robertson	23		X			100.00	76	43	92	82	62	62	86	66	37	60	73	62	25	60	61
Santeri Hatakka (R)	24				X	100.00	70	70	71	69	70	45	46	44	25	31	41	57	39	44	44
Nick Bjugstad	33	X		X		100.00	81	45	91	77	79	62	83	64	69	63	62	64	70	79	81
Dysin Mayo	29				X	100.00	68	70	63	65	70	68	73	51	25	39	48	58	46	44	44
Raphael Lavoie	24	X		X		100.00	79	81	73	76	81	65	66	62	78	53	67	66	64	45	45
Jonatan Berggren	25	X	X	X		100.00	65	42	93	76	70	63	92	65	33	63	70	61	25	60	60
Brayden Pachal	26				X	100.00	86	79	68	74	76	64	93	58	25	50	48	74	25	59	60
Marc Gatcomb	26	X	X	X		100.00	99	61	90	72	74	55	91	58	37	53	72	60	25	47	47
Mitchell Chaffee	27			X		100.00	85	55	89	75	74	62	83	67	35	59	71	64	25	56	57
Kaedan Korczak	24				X	100.00	80	45	25	75	76	66	60	60	25	59	47	68	25	54	54
Tyler Tucker	25				X	100.00	86	99	61	68	77	65	74	61	25	49	49	78	25	55	55
Owen Pickering (R)	21				X	100.00	65	43	91	69	78	65	89	61	25	47	48	79	25	46	46
Scott Reedy	26	X				100.00	81	78	89	64	78	51	50	55	69	49	56	65	53	44	44

MOYENNE D'ÉQUIPE						99.84	71	50	86	81	77	77	91	73	49	72	69	73	55	72	75

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
Rayé