Coaches

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Pro Coaches

Coaches Name	Team Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Alain Vigneault	Mariners	82	70	74	87	99	80	99	CAN	61	1	750,000$
André Tourigny	Braves	83	74	78	88	72	70	99	QUÉ	50	3	550,000$
Barry Trotz	Sens	86	85	79	89	99	92	99	CAN	59	3	1,610,510$
Bruce Boudreau	Kraken	82	73	87	93	92	76	99	CAN	67	2	1,870,000$
Bruce Cassidy	Roadrunners	79	88	86	96	83	87	99	CAN	59	1	750,000$
Dave Tippett	Icedogs	80	84	93	89	96	72	99	CAN	61	1	825,000$
Gérard Gallant	Dogbones	80	89	87	95	84	75	99	USA	61	1	750,000$
Jared Bednar	Pirates	71	88	87	94	81	81	99	CAN	52	3	605,000$
Jim Montgomery	Whalers	79	98	93	90	74	71	99	QUÉ	55	2	600,000$
Jon Cooper	Wolf	82	82	89	88	88	99	99	CAN	57	2	825,000$
Martin St-Louis	Gongshow	71	72	78	88	71	70	99	QUÉ	49	3	6,000,000$
Mike Sullivan	Fighting Irish	89	80	85	93	86	91	99	USA	56	1	825,000$
Paul Maurice	Flash	75	78	90	88	99	89	99	CAN	54	1	715,000$
Peter Laviolette	Stallions	81	80	83	93	99	87	99	USA	58	2	825,000$
Rick Bowness	Nordiques	76	88	82	94	85	71	99	CAN	70	1	1,500,000$
Rod Brind'Amour	Oilers	65	91	85	94	77	78	99	CAN	54	2	852,500$
Sheldon Keefe	Penguins	75	89	88	93	74	72	99	CAN	44	4	1,210,000$
Todd McLellan	Chiefs	75	82	87	93	93	82	99	CAN	57	1	935,000$

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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

Coaches Name	Team Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Andrew Brunette	Monsters	75	70	81	84	70	70	99	CAN	51	1	600,000$
Bill Peters	Senators	66	74	70	79	77	70	99	USA	57	2	750,000$
Derek Lalonde	Wildcats	76	78	80	94	70	70	99	USA	52	2	550,000$
Guy Boucher	Sharks	63	60	67	72	77	70	99	QUÉ	53	2	825,000$
Jeff Blashill	Youngblood	77	67	78	87	79	70	99	USA	51	2	665,500$
John Hynes	Distraction	87	85	77	92	81	70	99	USA	49	2	605,000$
Lane Lambert	National	84	89	81	94	70	71	99	CAN	60	2	550,000$
Luke Richardson	Falcons	80	73	73	93	70	70	99	CAN	56	2	550,000$
Todd Reirden	Les Restants	69	68	76	76	71	70	99	USA	53	2	825,000$
Travis Green	Vikings	83	84	82	88	75	70	99	CAN	54	2	990,000$

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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

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bob Boughner	86	77	75	87	75	70	99	CAN	54	0	550,000$
Brad Larsen	78	67	75	94	71	70	99	CAN	47	0	600,000$
Claude Julien	77	72	69	81	97	82	99	CAN	62	0	550,000$
Craig Berube	76	73	85	94	80	76	99	USA	58	0	606,000$
D.J. Smith	88	79	84	87	74	70	99	CAN	47	0	550,000$
Dallas Eakins	65	66	74	89	76	70	99	USA	56	0	605,000$
Darryl Sutter	81	83	84	92	99	83	99	CAN	66	0	600,000$
Dave Hakstol	76	82	90	93	78	70	99	CAN	56	0	550,000$
David Quinn	78	70	79	94	74	71	99	USA	58	0	550,000$
Dean Evason	76	89	80	89	73	70	99	CAN	60	0	550,000$
Dominique Ducharme	86	67	76	83	70	70	99	QUÉ	51	0	3,000,000$
Don Granato	65	73	91	95	72	70	99	USA	57	0	550,000$
Geoff Ward	65	74	71	79	70	70	99	CAN	62	0	1,000,000$
Jay Woodcroft	78	81	98	93	71	70	99	CAN	48	0	1,367,000$
Jeremy Colliton	82	66	71	85	72	70	99	USA	40	0	600,000$
Joel Quenneville	72	78	87	79	99	80	99	CAN	64	0	1,317,690$
John Stevens	67	63	71	73	76	70	99	CAN	58	0	550,000$
John Tortorella	87	77	77	90	99	75	99	USA	64	2	1,250,000$
Ken Hitchcock	72	62	63	68	99	74	99	CAN	71	0	1,771,440$
Lindy Ruff	65	88	90	95	99	77	99	CAN	62	0	550,000$
Mike Babcock	64	72	76	82	98	70	99	CAN	59	0	4,558,400$
Mike Yeo	83	69	64	87	80	72	99	CAN	50	0	550,000$
Peter Deboer	72	90	89	95	94	87	99	CAN	55	0	1,500,000$
Phil Housley	62	63	65	78	71	70	99	USA	61	0	750,000$
Ralph Krueger	66	64	73	89	71	70	99	CAN	65	0	1,000,000$
Randy Carlyle	71	64	68	69	89	84	99	CAN	64	1	655,000$
Rick Tocchet	82	73	87	93	78	70	99	CAN	61	0	550,000$