Puckéligue - Calendrier Pro Maple Leafs

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	$$$
Brady Tkachuk	25		X			99.00	97	92	55	80	86	78	91	88	69	78	88	63	37	72	72	8,205,714$
Auston Matthews	27	X				100.00	69	43	90	84	80	84	86	82	98	88	92	77	66	75	78	13,250,000$
Marcus Pettersson	29				X	100.00	75	53	83	76	69	83	95	61	25	65	48	91	25	72	74	4,025,175$
Karson Kuhlman	29	X		X		100.00	75	67	93	65	67	71	76	55	50	47	56	66	53	60	61	775,000$
Kevin Rooney	32	X	X	X		100.00	81	44	93	76	72	54	87	61	66	57	58	79	25	67	68	1,300,000$
Marco Rossi	23	X				100.00	71	42	89	81	64	78	99	78	81	81	80	62	25	62	62	1,713,333$
Lane Hutson (R)	21				X	100.00	65	41	87	98	58	86	99	81	25	79	49	70	25	55	55	1,330,000$
John Carlson	35				X	100.00	67	43	90	79	82	88	96	85	25	74	48	89	48	88	95	8,000,000$
Juraj Slafkovsky	21		X	X		100.00	90	57	83	78	84	76	96	85	32	80	74	63	41	62	62	4,450,000$
Will Cuylle	23		X			100.00	99	61	85	78	79	69	99	66	36	75	75	71	25	61	62	902,500$
Rayé
Radko Gudas	35				X	100.00	97	60	71	75	75	79	98	62	25	54	47	90	25	81	84	4,000,000$
Nick Suzuki	26	X				100.00	71	43	96	86	73	84	99	88	92	90	86	68	61	70	72	7,880,000$
Jared McCann	29	X	X			100.00	67	42	92	80	71	75	99	80	51	82	78	76	45	76	77	5,000,000$
Colton Sissons	31	X	X	X		100.00	79	44	90	85	74	67	89	64	88	65	59	83	25	77	81	2,850,000$
Derek Forbort	33				X	100.00	77	79	77	74	83	71	71	61	25	52	48	87	25	73	75	3,000,000$
Brandon Crawley	28				X	100.00	70	74	61	51	74	54	58	44	25	31	39	60	37	55	55	0$
Jarred Tinordi	33				X	100.00	84	88	73	66	88	51	53	46	25	36	40	65	38	44	45	1,250,000$
Jake Evans	29	X		X		100.00	80	44	95	83	70	70	99	63	93	73	70	87	25	67	68	2,850,000$
Otto Koivula	27		X	X		100.00	78	81	70	65	81	66	68	61	76	61	57	66	54	46	46	800,000$
Gage Quinney	30	X	X			100.00	80	73	95	64	73	66	67	62	78	63	57	67	54	44	44	0$
Owen Tippett	26		X	X		100.00	80	45	92	90	77	72	94	73	36	75	77	64	70	67	68	6,200,200$
Michael Matheson	31				X	100.00	69	43	80	81	73	93	82	95	25	76	54	94	53	73	74	4,875,000$
Chaz Reddekopp	28				X	100.00	80	80	81	68	80	37	36	46	25	37	39	63	37	44	44	0$
Kristians Rubins	27				X	100.00	84	85	83	67	85	65	70	47	25	37	41	65	39	44	44	0$
Adam Karashik	27				X	100.00	73	73	74	65	73	48	49	46	25	37	40	59	38	44	44	0$

MOYENNE D'ÉQUIPE						99.96	78	60	83	76	76	71	82	67	49	64	60	73	40	63	64

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	$$$
Kevin Lankinen	30	100.00	67	82	79	75	65	69	79	70	69	67	95	60	60	2,000,000$
Rayé
John Gibson	32	99.00	77	59	61	81	82	72	70	76	82	77	75	72	74	6,400,000$
Hunter Shepard	29	100.00	49	52	65	76	47	51	52	55	52	52	95	44	44	750,000$

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
Mathew Barzal	28	X		X		100.00	71	43	95	88	71	84	53	82	44	82	72	63	45	72	75
Aleksi Heponiemi	26	X		X		100.00	66	55	93	72	55	79	84	62	78	62	58	60	55	46	46
Anthony Angello	29	X				100.00	83	84	80	65	84	58	60	54	68	47	56	66	53	44	44
Austin Rueschhoff	27			X		100.00	83	87	74	60	87	71	75	56	50	49	58	67	55	44	44
Ostap Safin	26		X	X		100.00	82	79	88	64	79	48	49	48	50	45	46	64	44	44	44
Adam Brubacher	29				X	100.00	76	76	77	58	76	38	37	45	25	35	39	60	37	44	44

MOYENNE D'ÉQUIPE						99.96	78	60	83	76	76	71	82	67	49	64	60	73	40	63	64

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
Cam Talbot	38	100.00	73	77	76	83	80	66	69	72	67	72	71	72	74
Rayé