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 | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Barry Trotz | ![]() | 87 | 93 | 80 | 84 | 99 | 93 | 65 | CAN | 60 | 2 | 4,500,000$ |
Bill Peters | ![]() | 90 | 86 | 81 | 82 | 94 | 98 | 76 | CAN | 57 | 3 | 2,400,000$ |
Bob Hartley | ![]() | 95 | 74 | 79 | 96 | 99 | 99 | 47 | CAN | 62 | 1 | 2,250,000$ |
Claude Julien | ![]() | 98 | 87 | 97 | 95 | 99 | 99 | 36 | CAN | 63 | 3 | 6,600,000$ |
Dan Bylsma | ![]() | 91 | 76 | 96 | 87 | 94 | 99 | 74 | USA | 53 | 1 | 3,000,000$ |
Darryl Sutter | ![]() | 94 | 85 | 80 | 89 | 99 | 98 | 59 | CAN | 63 | 1 | 4,500,000$ |
Gerard Gallant | ![]() | 86 | 83 | 90 | 87 | 99 | 98 | 75 | CAN | 58 | 3 | 3,500,000$ |
Guy Boucher | ![]() | 92 | 81 | 75 | 93 | 80 | 91 | 74 | CAN | 51 | 3 | 3,000,000$ |
Jeff Blashill | ![]() | 80 | 82 | 82 | 83 | 83 | 79 | 86 | USA | 48 | 2 | 2,000,000$ |
Joel Quenneville | ![]() | 80 | 83 | 88 | 86 | 99 | 99 | 46 | CAN | 64 | 2 | 4,250,000$ |
John Stevens | ![]() | 67 | 89 | 99 | 67 | 98 | 97 | 62 | CAN | 56 | 3 | 1,500,000$ |
John Tortorella | ![]() | 96 | 81 | 83 | 98 | 99 | 99 | 59 | USA | 65 | 1 | 3,000,000$ |
Jon Cooper | ![]() | 81 | 77 | 99 | 84 | 87 | 90 | 83 | CAN | 55 | 1 | 5,000,000$ |
Kevin Dineen | ![]() | 90 | 93 | 99 | 93 | 99 | 99 | 59 | CAN | 60 | 1 | 3,175,000$ |
Marc Crawford | ![]() | 72 | 90 | 99 | 82 | 99 | 99 | 46 | CAN | 62 | 3 | 4,250,000$ |
Michel Therrien | ![]() | 95 | 77 | 99 | 91 | 99 | 99 | 48 | CAN | 59 | 1 | 2,630,000$ |
Mike Babcock | ![]() | 86 | 89 | 96 | 74 | 99 | 99 | 65 | CAN | 58 | 3 | 4,300,000$ |
Patrick Roy | ![]() | 97 | 84 | 84 | 95 | 99 | 99 | 57 | CAN | 55 | 1 | 3,500,000$ |
Paul Maurice | ![]() | 87 | 95 | 91 | 93 | 99 | 99 | 64 | CAN | 55 | 1 | 3,500,000$ |
Peter DeBoer | ![]() | 92 | 90 | 82 | 97 | 89 | 95 | 71 | CAN | 55 | 3 | 4,500,000$ |
Peter Laviolette | ![]() | 92 | 79 | 79 | 85 | 99 | 99 | 60 | USA | 59 | 1 | 3,500,000$ |
Randy Carlyle | ![]() | 97 | 92 | 85 | 93 | 99 | 97 | 23 | CAN | 66 | 2 | 2,600,000$ |
Rod Brind'Amour | ![]() | 80 | 80 | 77 | 76 | 79 | 89 | 77 | CAN | 52 | 2 | 1,500,000$ |
Todd McLellan | ![]() | 99 | 93 | 94 | 99 | 99 | 99 | 56 | CAN | 56 | 2 | 4,300,000$ |
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 | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Oates | ![]() | 76 | 77 | 71 | 62 | 93 | 99 | 63 | CAN | 58 | 2 | 750,000$ |
Bob Boughner | ![]() | 93 | 85 | 78 | 84 | 89 | 91 | 75 | CAN | 51 | 2 | 1,500,000$ |
Bob Woods | ![]() | 72 | 82 | 77 | 70 | 90 | 96 | 74 | CAN | 53 | 3 | 625,000$ |
Brad Shaw | ![]() | 68 | 74 | 70 | 71 | 87 | 87 | 73 | CAN | 57 | 1 | 500,000$ |
Bruce Boudreau | ![]() | 84 | 80 | 87 | 86 | 92 | 86 | 52 | CAN | 68 | 3 | 4,000,000$ |
Chuck Weber | ![]() | 75 | 78 | 76 | 79 | 82 | 80 | 69 | USA | 47 | 3 | 1,000,000$ |
Cory Clouston | ![]() | 79 | 87 | 84 | 96 | 90 | 99 | 73 | CAN | 53 | 1 | 1,500,000$ |
Curt Fraser | ![]() | 73 | 75 | 69 | 68 | 90 | 81 | 64 | USA | 65 | 1 | 500,000$ |
Dave Cameron | ![]() | 78 | 86 | 82 | 99 | 99 | 92 | 67 | CAN | 63 | 1 | 2,500,000$ |
David Quinn | ![]() | 68 | 79 | 77 | 71 | 84 | 84 | 76 | USA | 57 | 1 | 600,000$ |
Davis Payne | ![]() | 83 | 85 | 85 | 79 | 92 | 99 | 74 | CAN | 53 | 1 | 1,100,000$ |
Jack Capuano | ![]() | 95 | 78 | 78 | 87 | 94 | 99 | 72 | USA | 55 | 3 | 1,500,000$ |
Jared Bednar | ![]() | 75 | 79 | 92 | 80 | 89 | 89 | 81 | CAN | 50 | 1 | 2,350,000$ |
John Torchetti | ![]() | 80 | 72 | 77 | 70 | 91 | 93 | 70 | USA | 56 | 1 | 500,000$ |
Luke Richardson | ![]() | 87 | 82 | 69 | 81 | 90 | 99 | 80 | CAN | 51 | 1 | 1,500,000$ |
Mike Sullivan | ![]() | 77 | 77 | 88 | 62 | 96 | 99 | 68 | USA | 55 | 3 | 725,000$ |
Ralph Krueger | ![]() | 82 | 82 | 85 | 83 | 96 | 86 | 61 | CAN | 61 | 3 | 2,000,000$ |
Randy Cunneyworth | ![]() | 83 | 83 | 82 | 67 | 94 | 89 | 29 | CAN | 60 | 1 | 750,000$ |
Rick Tocchet | ![]() | 81 | 75 | 77 | 80 | 82 | 85 | 85 | USA | 58 | 1 | 1,500,000$ |
Rob Murray | ![]() | 79 | 76 | 89 | 70 | 99 | 99 | 64 | CAN | 55 | 1 | 1,400,000$ |
Ryan McGill | ![]() | 67 | 72 | 86 | 71 | 85 | 93 | 80 | CAN | 52 | 1 | 1,500,000$ |
Scott Arniel | ![]() | 73 | 79 | 80 | 80 | 95 | 92 | 63 | CAN | 60 | 1 | 500,000$ |
Sylvain Lefebvre | ![]() | 79 | 82 | 72 | 81 | 99 | 99 | 60 | CAN | 53 | 1 | 500,000$ |
Todd Reirden | ![]() | 73 | 69 | 74 | 77 | 72 | 82 | 81 | USA | 52 | 1 | 500,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alain Vigneault | 75 | 90 | 79 | 77 | 99 | 96 | 57 | CAN | 62 | 0 | 3,500,000$ |
Andy Murray | 76 | 82 | 79 | 69 | 97 | 90 | 58 | CAN | 64 | 0 | 1,500,000$ |
Benoit Groulx | 76 | 73 | 89 | 84 | 99 | 99 | 65 | CAN | 55 | 0 | 2,100,000$ |
Brent Sutter | 78 | 85 | 74 | 96 | 92 | 88 | 66 | CAN | 61 | 0 | 2,500,000$ |
Craig Hartsburg | 73 | 72 | 76 | 69 | 92 | 85 | 63 | CAN | 62 | 0 | 850,000$ |
Craig MacTavish | 82 | 89 | 83 | 78 | 99 | 97 | 48 | CAN | 63 | 0 | 2,000,000$ |
Dave Allison | 70 | 70 | 70 | 70 | 85 | 78 | 70 | CAN | 62 | 0 | 500,000$ |
Dave Lewis | 75 | 78 | 84 | 83 | 99 | 93 | 37 | CAN | 68 | 0 | 2,500,000$ |
Dave Tippett | 90 | 93 | 73 | 84 | 95 | 98 | 57 | CAN | 62 | 0 | 3,500,000$ |
Glen Gulutzan | 66 | 67 | 74 | 67 | 77 | 85 | 83 | CAN | 52 | 0 | 600,000$ |
Jacques Martin | 77 | 83 | 75 | 77 | 99 | 92 | 39 | CAN | 71 | 0 | 2,000,000$ |
Joe Sacco | 92 | 67 | 80 | 82 | 98 | 99 | 74 | USA | 54 | 0 | 1,500,000$ |
John MacLean | 74 | 76 | 69 | 71 | 89 | 83 | 68 | CAN | 59 | 0 | 500,000$ |
Ken Hitchcock | 90 | 88 | 80 | 76 | 99 | 98 | 33 | CAN | 72 | 0 | 3,000,000$ |
Kirk Muller | 77 | 79 | 81 | 71 | 90 | 89 | 83 | CAN | 54 | 0 | 2,000,000$ |
Lane Lambert | 66 | 67 | 74 | 71 | 83 | 83 | 77 | CAN | 59 | 0 | 500,000$ |
Lindy Ruff | 81 | 77 | 99 | 83 | 99 | 99 | 50 | CAN | 63 | 0 | 4,000,000$ |
Marty Raymond | 72 | 72 | 69 | 74 | 86 | 87 | 69 | CAN | 60 | 1 | 550,000$ |
Mike Yeo | 77 | 80 | 89 | 99 | 95 | 96 | 77 | CAN | 47 | 0 | 3,500,000$ |
Phil Housley | 76 | 84 | 75 | 78 | 78 | 80 | 83 | USA | 58 | 0 | 1,500,000$ |
Scott Gordon | 91 | 66 | 79 | 75 | 90 | 89 | 69 | USA | 59 | 0 | 1,000,000$ |
Ted Nolan | 79 | 70 | 69 | 81 | 99 | 99 | 43 | CAN | 63 | 0 | 500,000$ |
Todd Richards | 78 | 97 | 79 | 71 | 96 | 99 | 66 | USA | 56 | 0 | 1,500,000$ |