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Coaches

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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
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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

Pro Coaches

Coaches Name	Team Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Contrat Signature Date	Salary
Afanasy Vlodek	Belarus	48	57	49	80	80	88	97	RUS	37	1	2024-12-26	100,000$
Arvid Persson	Sweden	51	84	76	82	40	76	62	SWE	36	1	2024-12-26	100,000$
Christian Bendel	Germany	92	64	63	69	96	72	90	GER	36	1	2024-12-26	100,000$
Dave Gonzalez	United States	64	72	79	72	83	74	50	USA	36	1	2024-12-26	100,000$
Elyes Chapuis	Switzerland	84	82	53	82	48	76	76	FRA	36	1	2024-12-26	100,000$
Emery Rai	Canada	65	49	87	72	54	72	93	CAN	37	1	2024-12-26	100,000$
Eric Soukiala	Slovakia	84	33	67	87	44	34	87	FIN	37	1	2024-12-26	100,000$
Jimmy Makin	Norway	52	86	41	71	76	82	77	CAN	37	1	2024-12-26	100,000$
Kazimir Savastyanov	Russia	65	90	41	93	57	47	91	RUS	37	1	2024-12-26	100,000$
Peter Likar	Czechia	55	93	75	85	62	90	85	CZE	37	1	2024-12-26	100,000$
Tomek Roppo	Finland	79	93	43	63	60	78	52	FIN	35	1	2024-12-26	100,000$
Zenonas Raugala	Denmark	35	84	42	76	66	46	52	LTU	35	1	2024-12-26	100,000$

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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

Farm Coaches

Coaches Name	Team Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Contrat Signature Date	Salary

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Filter Tips

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

Available Coaches

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Contrat Signature Date	Salary
Alvin Mitani	38	35	65	86	96	42	75	CAN	36	0		0$
Andre-Philippe Devries	93	77	39	77	68	54	88	CAN	36	0		0$
Angelo Mactaggart	92	56	36	93	60	90	53	USA	37	0		0$
Anthoni Pears	90	69	89	90	99	99	72	CAN	37	0		0$
Bjorn Ten Berge	78	54	66	82	73	98	57	NED	35	0		0$
Bradley Giesbrecht	43	93	59	87	39	88	59	CAN	36	0		0$
Cedrick Rovatti	38	44	87	74	55	78	50	CAN	35	0		0$
David Novak	68	63	47	60	69	46	82	CZE	42	0		0$
Dempster Fritts	35	51	47	69	49	42	63	USA	37	0		0$
Denys Shmyr	77	30	96	62	50	90	72	CAN	37	0		0$
Derwin Wentzel	40	51	92	65	43	95	92	USA	37	0		0$
Jaxxon Hanni	95	37	95	85	93	44	85	CAN	35	0		0$
Jean-Maxime Johannsen	61	86	43	73	59	63	65	CAN	37	0		0$
Kearney Westrum	63	36	45	87	70	38	70	USA	37	0		0$
Lyndell Oleson	82	59	36	60	81	72	76	USA	37	0		0$
Remi Kuse	51	52	76	61	64	63	98	CAN	37	0		0$
Stanley Cyncar	36	69	93	88	45	54	65	CAN	37	0		0$

Life Time Coaches Record

Coaches Name	GP	W	L	OTL
Eric Soukiala	15	7	4	0
Arvid Persson	13	10	2	0
Kazimir Savastyanov	13	7	4	0
Dave Gonzalez	13	6	5	0
Elyes Chapuis	13	4	6	0
Afanasy Vlodek	11	6	3	0
Christian Bendel	11	5	5	0
Emery Rai	11	3	6	0
Jimmy Makin	10	4	3	1
Peter Likar	10	2	5	0
Tomek Roppo	10	2	4	1
Zenonas Raugala	10	1	8	0

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