Pro Coaches

Coaches Name	Team Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Alain Vigneault	Rangers	80	90	82	81	89	88	33	CAN	58	2	1$
Barry Trotz	Capitals	80	84	75	80	86	84	40	CAN	57	5	1$
Bob Boughner	Panthers	50	50	50	50	50	50	50	Can	47	5	1$
Bruce Boudreau	Wild	69	74	76	72	86	79	4	CAN	58	5	1$
Bruce Cassidy	Bruins	65	65	65	65	71	65	30	CAN	63	5	1$
Claude Julien	Canadiens	87	92	74	77	85	84	1	CAN	60	5	1$
Doug Weight	Islanders	66	64	62	64	55	62	70	CAN	43	5	1$
Gerard Gallant	Golden Knights	70	74	72	75	60	64	50	CAN	64	5	1$
Glen Gulutzan	Flames	74	74	65	67	69	74	70	CAN	48	2	1$
Jeff Blashill	Red Wings	61	62	64	66	62	64	50	USA	47	2	1$
Joel Quenneville	Blackhawks	76	84	86	80	81	84	40	CAN	61	2	1$
John Stevens	Kings	64	64	64	64	64	64	30	CAN	54	5	1$
John Tortorella	Blue Jackets	84	80	78	79	86	94	45	USA	61	3	1$
Jon Cooper	Lightning	65	66	67	70	62	68	70	CAN	48	3	1$
Mike Sullivan	Penguins	66	69	69	69	68	70	35	USA	52	3	1$
Paul Maurice	Jets	70	72	74	69	75	74	30	CAN	53	2	1$
Peter Laviolette	Predators	86	76	80	77	82	84	25	USA	55	7	1$
Randy Carlyle	Ducks	77	84	72	73	85	82	10	CAN	64	4	1$
Rick Tocchet	Coyotes	50	50	50	50	50	50	50	Can	54	5	1$
Todd McLellan	Oilers	78	77	79	75	79	81	56	CAN	52	5	1$

Farm Coaches

Coaches Name	Team Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Bob Hartley	Rockets	62	61	61	61	60	62	50	CAN	56	6	1$
Craig Hartsburg	Sound Tigers	72	77	77	78	80	76	40	CAN	60	5	1$
Dale Hunter	Bears	82	79	75	72	74	70	85	CAN	59	2	1$
Darryl Sutter	Wolf Pack	86	87	76	73	92	85	10	CAN	61	4	1$
Darryl Sydor	Crunch	69	70	64	68	66	66	60	CAN	47	2	1$
Dave Farrish	Monsters	65	65	65	65	65	65	40	CAN	63	8	1$
Dave Hakstol	Heat	68	69	64	60	62	64	50	CAN	44	2	1$
Dave King	Wolves	64	68	72	72	90	72	1	CAN	74	2	1$
Doug Houda	Wild	62	64	63	65	64	63	46	CAN	53	7	1$
Gord Murphy	Penguins	64	65	64	64	64	62	40	CAN	53	2	1$
Jamie Kompon	Griffins	60	60	60	60	60	60	25	CAN	58	7	1$
Jim Johnson	Condors	65	65	65	65	66	64	30	CAN	58	2	1$
Kelly Buchberger	Gulls	70	70	65	68	70	72	55	CAN	53	2	1$
Ken Hitchcock	Ontario	85	86	72	74	96	92	1	CAN	68	7	1$
Larry Robinson	Admirals	77	80	64	66	81	78	20	CAN	68	2	1$
Mike Johnston	Bruins	60	60	60	60	60	60	25	CAN	58	6	1$
Pascal Vincent	IceHogs	74	74	74	67	68	67	30	CAN	49	2	1$
Peter DeBoer	Roadrunners	78	82	74	75	78	79	70	CAN	51	4	1$
Stu Barnes	Thunderbirds	56	62	64	66	65	62	75	CAN	49	2	1$
Sylvain Lefebvre	Moose	60	60	60	60	60	60	25	CAN	58	2	1$

Available Coaches

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Adam Oates	60	62	74	70	69	68	40	CAN	57	3	1$
Bill Peters	60	60	60	60	60	60	25	CAN	58	4	1$
Cory Clouston	65	64	64	65	64	63	30	CAN	50	3	1$
Craig Berube	74	64	63	65	70	74	45	CAN	54	3	1$
Dan Byslma	61	61	61	61	61	61	50	CAN	51	3	1$
Daniel Lacroix	70	70	64	66	69	72	40	CAN	51	3	1$
Darby Henderickson	61	61	62	61	61	62	15	USA	47	0	1$
Dave Cameron	82	79	88	82	72	84	75	CAN	49	8	1$
Dave Tippett	85	86	84	85	86	89	35	CAN	58	6	1$
Davis Payne	69	70	67	69	70	68	40	CAN	49	3	1$
Dean Evason	69	72	74	74	70	70	56	CAN	55	3	1$
Doug Jarvis	78	77	64	69	74	75	20	CAN	65	3	1$
Geoff Ward	62	61	64	61	60	60	25	CAN	58	8	1$
Guy Boucher	77	79	74	74	70	82	77	CAN	48	6	1$
Jack Capuano	74	77	79	76	68	78	70	USA	53	5	1$
Jacques Martin	72	79	70	76	88	84	4	CAN	67	0	0$
James Patrick	68	70	62	64	65	70	50	CAN	56	0	0$
Jared Bednar	74	75	66	64	74	70	15	SVK	46	5	1$
Jay Woodcroft	60	60	60	60	60	60	25	CAN	58	0	0$
Joe Mullen	60	62	76	74	72	70	40	USA	63	0	0$
Joe Sacco	75	76	76	77	74	79	57	USA	51	3	1$
John MacLean	69	75	79	72	79	74	30	CAN	55	3	1$
Kevin Dineen	79	77	75	79	78	79	60	CAN	56	0	0$
Kirk Muller	78	77	74	78	70	79	65	CAN	54	3	1$
Lane Lambert	60	60	60	60	60	60	25	CAN	58	0	0$
Lindy Ruff	79	89	80	82	92	82	10	CAN	60	5	1$
Luke Richardson	70	69	62	65	62	65	60	CAN	51	3	1$
Marc Crawford	72	74	75	70	78	77	25	CAN	59	0	0$
Martin Raymond	60	60	60	60	60	60	25	CAN	55	0	0$
Michel Therrien	66	66	64	66	69	68	50	CAN	60	5	1$
Mike Babcock	82	85	86	85	86	88	15	CAN	57	3	1$
Mike Kitchen	65	69	65	65	65	67	10	CAN	64	0	0$
Mike Yeo	74	69	65	67	60	68	75	CAN	47	6	1$
Newell Brown	60	60	60	60	60	60	25	CAN	58	0	0$
Patrick Roy	60	65	62	64	62	64	66	CAN	55	6	1$
Paul Jerrard	62	62	62	62	63	64	40	CAN	55	0	0$
Paul MacLean	70	85	75	80	81	90	40	CAN	62	8	1$
Ralph Kruger	74	77	61	66	70	72	44	CAN	60	8	1$
Randy Cunneyworth	70	75	74	71	79	69	75	CAN	58	0	0$
Randy Ladouceur	64	62	63	63	64	62	30	CAN	59	0	0$
Ray Bennett	60	60	60	60	60	60	25	CAN	58	0	0$
Rick Wilson	69	72	62	64	82	66	5	CAN	72	0	0$
Ron Wilson	74	72	77	75	84	79	30	USA	64	0	0$
Scott Arniel	69	68	66	67	65	66	40	CAN	57	0	0$
Scott Gordon	70	70	66	69	75	72	35	USA	57	0	0$
Scott Mellanby	66	66	68	65	62	66	70	CAN	53	0	0$
Steve Konowalchuk	72	66	65	69	61	66	65	CAN	47	0	0$
Steve Smith	72	75	60	64	68	72	60	CAN	57	0	0$
Todd Reirden	65	65	65	65	59	64	50	CAN	48	4	1$
Todd Richards	69	68	66	71	69	67	60	USA	53	7	1$
Tom Barrasso	75	73	64	66	68	70	25	USA	55	3	1$
Tom Renney	69	72	69	68	68	68	50	CAN	65	0	0$
Tony Granato	70	68	74	74	72	73	40	USA	55	8	1$
Trent Yawney	64	63	64	64	62	66	60	CAN	54	0	0$
Willie Desjardins	69	69	69	75	79	70	1	CAN	59	7	1$

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