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 | Contrat Signature Date | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Eli Mori | ![]() | 82 | 92 | 88 | 85 | 82 | 93 | 68 | USA | 53 | 3 | 980,000$ | |
Jack Reese | ![]() | 94 | 84 | 79 | 87 | 98 | 93 | 54 | USA | 65 | 4 | 1,100,000$ | |
Jamie Donovan | ![]() | 87 | 84 | 92 | 87 | 89 | 88 | 54 | USA | 56 | 3 | 1,000,000$ | |
Jim Wolfgang | ![]() | 77 | 73 | 88 | 70 | 95 | 73 | 50 | USA | 60 | 3 | 500,000$ | |
Oliver Eikeland | ![]() | 90 | 91 | 88 | 78 | 94 | 97 | 88 | NOR | 57 | 4 | 900,000$ | |
Raghuvir Ranjana | ![]() | 90 | 87 | 75 | 75 | 93 | 74 | 54 | USA | 58 | 3 | 900,000$ | |
Robert Gauthier | ![]() | 82 | 82 | 88 | 86 | 97 | 95 | 53 | CAN | 64 | 3 | 1,000,000$ | |
Robin Sanger | ![]() | 80 | 79 | 83 | 80 | 74 | 69 | 84 | USA | 59 | 4 | 1,100,000$ | |
Ross Frere | ![]() | 85 | 88 | 80 | 95 | 77 | 82 | 86 | USA | 42 | 3 | 1,100,000$ | |
Shawn Whitney | ![]() | 93 | 93 | 89 | 88 | 77 | 82 | 86 | USA | 42 | 3 | 1,100,000$ | |
Trey Main | ![]() | 90 | 88 | 88 | 87 | 93 | 88 | 68 | USA | 56 | 3 | 950,000$ | |
Zach Tyler | ![]() | 90 | 88 | 86 | 92 | 93 | 91 | 68 | CAN | 58 | 3 | 980,000$ |
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 |
Coaches Name | Team Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Contrat Signature Date | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bill Sheehan | ![]() | 76 | 86 | 79 | 92 | 76 | 82 | 88 | USA | 41 | 3 | 2025-04-02 | 325,000$ |
Bob Riley | ![]() | 81 | 76 | 93 | 89 | 89 | 76 | 62 | USA | 54 | 4 | 2025-04-02 | 500,000$ |
Homer Winfrey | ![]() | 71 | 81 | 74 | 83 | 71 | 68 | 82 | USA | 53 | 4 | 2025-04-02 | 550,000$ |
Jim MacDowell | ![]() | 74 | 77 | 95 | 94 | 81 | 80 | 78 | USA | 46 | 3 | 2025-04-02 | 400,000$ |
Joe MacCombie | ![]() | 84 | 81 | 81 | 84 | 67 | 71 | 67 | USA | 58 | 4 | 2025-04-02 | 500,000$ |
Ken Sutherland | ![]() | 70 | 70 | 70 | 70 | 94 | 73 | 52 | USA | 59 | 4 | 2025-04-02 | 250,000$ |
Kurt Kimble | ![]() | 71 | 94 | 74 | 93 | 99 | 71 | 42 | USA | 64 | 4 | 2025-04-02 | 350,000$ |
Nicolas Fleurant | ![]() | 70 | 70 | 70 | 70 | 82 | 79 | 76 | CAN | 47 | 3 | 2025-04-02 | 250,000$ |
Owen Allen | ![]() | 86 | 72 | 70 | 85 | 83 | 79 | 74 | USA | 48 | 4 | 2025-04-02 | 500,000$ |
Samuel Cote | ![]() | 87 | 81 | 73 | 84 | 74 | 83 | 92 | CAN | 39 | 3 | 2025-04-02 | 500,000$ |
Tim Shepard | ![]() | 91 | 85 | 70 | 77 | 94 | 73 | 52 | USA | 59 | 3 | 2025-04-02 | 550,000$ |
Trevor Prosper | ![]() | 89 | 75 | 83 | 74 | 91 | 75 | 58 | CAN | 56 | 4 | 2025-04-02 | 475,000$ |
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 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Contrat Signature Date | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Duane Marshall | 70 | 70 | 70 | 70 | 94 | 73 | 52 | USA | 59 | 3 | 700,000$ | |
Joe Tremblay | 70 | 70 | 70 | 70 | 92 | 74 | 56 | CAN | 57 | 4 | 850,000$ | |
Jonathan Murdock | 70 | 70 | 70 | 70 | 92 | 74 | 56 | USA | 57 | 3 | 800,000$ | |
Mark Watkins | 70 | 70 | 70 | 70 | 99 | 68 | 36 | USA | 67 | 3 | 750,000$ |
Coaches Name | GP | W | L | OTL |
---|---|---|---|---|
Raghuvir Ranjana | 1 | 1 | 0 | 0 |
Jim Wolfgang | 1 | 0 | 1 | 0 |