Entraîneurs

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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

Entraîneurs Pro

Nom de l’entraîneur	Nom de l’équipe	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Date du Signature du Contrat	Salaire
Alain Vigneault	Mariners	78	66	70	83	99	78	99	CAN	61	1		750,000$
André Tourigny	Braves	77	78	83	89	73	70	99	QUÉ	50	3		550,000$
Barry Trotz	Sens	82	81	75	85	99	90	99	CAN	59	3		1,610,510$
Bruce Boudreau	Kraken	78	69	83	89	92	74	99	CAN	67	2		1,870,000$
Bruce Cassidy	Roadrunners	81	84	85	95	84	88	99	CAN	59	1		750,000$
Craig Berube	Bikers	72	83	79	95	79	80	99	USA	58	1		750,000$
Dave Tippett	Icedogs	76	80	89	85	96	70	99	CAN	61	1		825,000$
Dean Evason	Blue Jackets	72	85	76	85	73	69	99	CAN	60	3		2,000,000$
Jared Bednar	Pirates	73	82	93	93	82	83	99	CAN	52	3		605,000$
Jim Montgomery	Bulldogs	87	88	85	92	74	73	99	QUÉ	55	1		550,000$
Jon Cooper	Wolf	81	79	90	89	89	99	99	CAN	57	2		825,000$
Kris Knoblauch	Wolverines	78	85	91	92	70	74	99	CAN	46	1	2025-06-24	1,000,000$
Martin St-Louis	Gongshow	76	76	79	91	71	72	99	QUÉ	49	3		6,000,000$
Mike Sullivan	Fighting Irish	72	83	83	95	87	91	99	USA	56	1		825,000$
Patrick Roy	LumberJacks	83	81	82	96	74	71	99	QUÉ	59	3		3,000,000$
Paul Maurice	Flash	89	93	86	85	99	95	99	CAN	54	1		715,000$
Peter Deboer	Thunder	67	86	91	96	96	90	99	CAN	55	1		1,650,000$
Peter Laviolette	Stallions	81	87	88	92	99	90	99	USA	58	2		825,000$
Rick Bowness	Nordiques	77	93	84	94	86	72	99	CAN	70	1		1,500,000$
Rick Tocchet	Dogbones	85	88	88	92	80	72	99	CAN	61	2	2025-05-31	750,000$
Rod Brind'Amour	Oilers	66	90	88	94	79	80	99	CAN	54	2		852,500$
Sheldon Keefe	Penguins	88	80	92	91	76	73	99	CAN	44	4		1,210,000$
Spencer Carbery	Whalers	78	82	76	95	70	71	99	CAN	43	4		1,500,000$
Todd McLellan	Chiefs	75	91	83	93	93	82	99	CAN	57	1		935,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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 de l’entraîneur	Nom de l’équipe	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Date du Signature du Contrat	Salaire
Andrew Brunette	Monsters	85	83	86	92	71	71	99	CAN	51	1		600,000$
Bill Peters	Senators	66	70	67	75	77	69	99	USA	57	2		750,000$
Bob Boughner	Shokers	82	73	71	83	75	68	99	CAN	54	2		605,000$
D.J. Smith	Monkeys	88	79	84	87	74	70	99	CAN	47	3		550,000$
Dallas Eakins	Monster	65	66	70	85	76	68	99	USA	56	5		665,000$
Dave Hakstol	Guerriers du Nord	77	86	75	94	79	69	99	CAN	56	3		550,000$
David Quinn	Brawlers	78	67	69	92	76	70	99	USA	58	5		605,000$
Derek Lalonde	Wildcats	73	78	88	93	71	70	99	USA	52	2		550,000$
Don Granato	Bolt	76	84	81	91	72	69	99	USA	57	3		605,000$
Drew Bannister	L'Euphorie	72	83	79	95	69	69	99	CAN	51	3		550,000$
Guy Boucher	Sharks	63	60	67	68	77	69	99	QUÉ	53	2		825,000$
Gérard Gallant	Patriotes	76	85	83	91	84	73	99	USA	61	2	2025-05-31	600,000$
Jeff Blashill	Youngblood	73	67	74	83	79	69	99	USA	51	2		665,500$
Jeremy Colliton	Warriors	78	66	67	81	72	69	99	USA	40	1		660,000$
John Hynes	Distraction	71	81	82	89	82	70	99	USA	49	2		605,000$
Lane Lambert	National	81	79	81	94	70	70	99	CAN	60	2		550,000$
Lindy Ruff	Intrepides	73	76	85	93	99	76	99	CAN	62	5		605,000$
Luke Richardson	Falcons	78	75	68	93	71	70	99	CAN	56	2		550,000$
Mike Babcock	Extreme	81	76	83	90	74	69	99	CAN	59	5		605,000$
Mike Yeo	Destroyers	79	68	64	83	80	71	99	CAN	50	3		605,000$
Pascal Vincent	Prospects	70	73	79	94	69	69	99	QUÉ	53	2		550,000$
Ryan Huska	Dynamos	75	79	83	92	70	70	99	CAN	49	2	2025-06-24	550,000$
Todd Reirden	Les Restants	69	68	72	72	71	69	99	USA	53	2		825,000$
Travis Green	Vikings	79	80	78	84	75	69	99	CAN	54	2		990,000$

Afficher ou masquer des colonnes

Astuces sur les filtres (anglais seulement)

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 de l’entraîneur	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Brad Larsen	74	67	71	90	71	69	99	CAN	47	0	600,000$
Claude Julien	69	64	62	72	97	74	99	CAN	62	0	550,000$
Darryl Sutter	77	79	80	88	99	81	99	CAN	66	0	600,000$
Dominique Ducharme	82	67	72	79	70	67	99	QUÉ	51	0	3,000,000$
Geoff Ward	65	70	67	75	70	69	99	CAN	62	0	1,000,000$
Greg Cronin	79	74	73	85	69	70	99	USA	61	4	550,000$
Jay Woodcroft	74	77	94	89	71	68	99	CAN	48	1	1,000,000$
Joel Quenneville	68	74	83	75	99	79	99	CAN	64	0	1,317,690$
John Tortorella	82	81	79	91	99	75	99	USA	64	2	1,250,000$
Ralph Krueger	66	64	69	85	71	69	99	CAN	65	0	1,000,000$
Randy Carlyle	68	64	68	69	89	83	99	CAN	64	1	655,000$