Pro Coaches

Coaches Name	Team Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Adam Oates	Ducks	89	87	93	84	72	72	1	CAN	53	1	1,000,000$
Alain Vigneault	Jets	87	92	91	90	87	87	1	CAN	55	4	10,000,000$
Barry Trotz	Hurricanes	87	88	89	91	93	93	1	CAN	53	3	1,250,000$
Bob Hartley	Penguins	86	90	84	88	85	85	1	CAN	55	2	2,500,000$
Bruce Boudreau	RedWings	91	91	92	86	80	80	1	CAN	61	4	10,000,000$
Claude Julien	Stars	93	92	96	86	85	85	1	CAN	56	4	10,000,000$
Dan Bylsma	Sharks	90	92	94	90	78	78	1	USA	45	3	600,000$
Darryl Sutter	Kings	94	92	87	87	90	90	1	CAN	57	4	5,800,000$
Dave Tippett	Capitals	87	86	90	91	87	87	1	CAN	54	4	5,115,000$
Gerard Gallant	Avalanche	60	60	60	60	60	60	60	CAN	51	3	1,200,000$
Jeff Blashill	Senators	58	74	68	81	62	62	1	USA	42	2	800,000$
Joel Quenneville	Predators	79	89	96	98	95	95	1	CAN	57	3	4,000,000$
John Tortorella	Flames	89	91	86	79	87	87	1	USA	57	1	2,500,000$
Jon Cooper	Flyers	85	89	90	89	72	72	1	CAN	48	2	3,500,000$
Ken Hitchcock	MapleLeafs	87	94	92	77	94	94	1	CAN	64	3	2,500,000$
Kirk Muller	Wild	79	87	87	99	73	73	1	CAN	50	4	650,000$
Lindy Ruff	Oilers	84	88	90	85	94	94	1	CAN	56	4	5,700,000$
Michel Therrien	Canadiens	89	93	87	80	81	81	1	CAN	52	3	2,500,000$
Mike Babcock	Panthers	77	88	89	96	87	87	1	CAN	53	4	5,500,000$
Mike Yeo	Canucks	82	89	85	93	74	74	1	CAN	42	3	700,000$
Patrick Roy	BlackHawks	89	87	92	86	71	71	1	CAN	50	4	10,000,000$
Paul Maurice	Devils	93	89	88	83	90	90	1	CAN	49	2	3,600,000$
Peter DeBoer	Sabres	78	92	86	99	79	79	1	CAN	47	1	2,400,000$
Peter Laviolette	Islanders	76	71	74	61	85	85	1	USA	51	2	1,500,000$
Randy Carlyle	Blues	99	83	89	81	83	83	1	CAN	60	2	750,000$
Todd McLellan	Bruins	85	94	94	95	79	79	1	CAN	48	2	2,000,000$
Todd Richards	Rangers	97	88	91	85	76	76	1	USA	49	2	2,500,000$
Willie Desjardins	Lightning	60	71	76	82	62	62	1	CAN	58	3	1,000,000$

Farm Coaches

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

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary
Brad Larsen	69	64	69	71	62	62	1	CAN	38	0	0$
Bruce Cassidy	69	64	67	76	64	64	1	CAN	50	0	0$
Chadd Cassidy	58	63	63	74	61	61	1	USA	42	0	0$
Claude Noel	93	89	88	85	74	74	1	CAN	60	0	0$
Craig Berube	94	89	92	77	71	71	1	CAN	50	0	0$
Dallas Eakins	88	85	85	83	71	71	1	USA	49	0	0$
Dean Chynoweth	71	60	59	60	62	62	1	CAN	47	0	0$
Dean Evason	66	69	63	72	62	62	1	CAN	51	0	0$
Jack Capuano	92	85	89	82	75	75	1	USA	49	1	1,400,000$
Jeff Daniels	63	58	65	76	66	66	1	CAN	47	0	0$
John Anderson	56	72	68	78	68	68	1	CAN	58	0	0$
John Hynes	72	76	61	62	64	64	1	USA	55	0	0$
Keith McCambridge	72	66	72	69	63	63	1	CAN	41	0	0$
Ken Gernander	74	63	60	64	63	63	1	USA	46	0	0$
Kevin Dineen	70	65	65	71	72	72	1	CAN	52	0	0$
Kurt Kleinendorst	64	60	53	72	66	66	1	USA	54	0	0$
Luke Richardson	71	60	76	64	62	62	1	CAN	46	0	0$
Mark Morris	60	74	69	79	68	68	1	USA	57	0	0$
Mike Haviland	68	64	64	68	65	65	1	USA	47	0	0$
Paul MacLean	95	81	92	80	74	74	1	CAN	58	0	0$
Peter Horachek	87	81	81	89	71	71	1	CAN	56	0	0$
Ray Edwards	72	49	64	61	65	65	1	CAN	45	0	0$
Rick Kowalsky	61	72	64	78	64	64	1	CAN	43	0	0$
Rob Zettler	77	60	60	55	61	61	1	CAN	47	0	0$
Ron Rolston	72	68	63	68	71	71	1	USA	49	0	0$
Roy Sommer	68	61	57	70	76	76	1	USA	58	0	0$
Scott Pellerin	80	59	56	52	62	62	1	CAN	45	0	0$
Steve Spott	69	68	64	59	61	61	1	CAN	46	0	0$
Sylvain Lefebvre	72	62	56	68	62	62	1	CAN	48	0	0$
Ted Dent	60	54	67	74	63	63	1	CAN	45	0	0$
Ted Nolan	90	85	79	85	77	77	1	CAN	58	0	0$
Terry Murray	74	61	56	53	64	64	1	CAN	65	0	0$
Todd Nelson	60	55	68	72	64	64	1	CAN	46	0	0$
Tom Rowe	58	60	61	76	62	62	1	USA	58	0	0$
Travis Green	61	64	57	76	61	61	1	CAN	44	0	0$
Trent Yawney	76	72	60	67	67	67	1	CAN	50	0	0$
Troy Ward	61	64	68	80	63	63	1	USA	55	0	0$

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