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 |
Capacity | Ticket Price | Attendance | Attendance PCT | Income | Expenses | Estimate | ||||||||||||||||||||
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# | Team | Level1 | Level2 | Level1 | Level2 | Level1 | Level2 | Level1 | Level2 | Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity | Players Total Salaries | Players Total Average Salaries | Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap | Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1 | ![]() | 2000 | 1000 | 35 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,468,596$ | 182,400$ | 0$ | 0$ | 0$ | 20 | 0 | 0$ | 0 | 0$ | 0$ |
2 | ![]() | 2000 | 1000 | 35 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,073,000$ | 60,000$ | 0$ | 0$ | 0$ | 15 | 0 | 0$ | 0 | 0$ | 0$ |
3 | ![]() | 3500 | 2500 | 32 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 6000 | 100 | 1,838,000$ | 104,000$ | 0$ | 0$ | 0$ | 26 | 0 | 0$ | 0 | 0$ | 0$ |
4 | ![]() | 2000 | 1000 | 35 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,458,000$ | 88,000$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0 | 0$ | 0$ |
5 | ![]() | 2000 | 1000 | 35 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,741,000$ | 88,000$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0 | 0$ | 0$ |
6 | ![]() | 3000 | 2000 | 50 | 30 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 5000 | 100 | 726,900$ | 40,000$ | 0$ | 0$ | 0$ | 10 | 0 | 0$ | 0 | 0$ | 0$ |
7 | ![]() | 2000 | 1000 | 35 | 25 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 2,117,464$ | 120,000$ | 0$ | 0$ | 0$ | 30 | 0 | 0$ | 0 | 0$ | 0$ |
8 | ![]() | 2000 | 1000 | 40 | 20 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,086,000$ | 64,000$ | 0$ | 0$ | 0$ | 16 | 0 | 0$ | 0 | 0$ | 0$ |
9 | ![]() | 2000 | 1000 | 35 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,804,925$ | 100,000$ | 0$ | 0$ | 0$ | 25 | 0 | 0$ | 0 | 0$ | 0$ |
10 | ![]() | 2000 | 1000 | 35 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,608,000$ | 88,000$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0 | 0$ | 0$ |
11 | ![]() | 2000 | 1000 | 99 | 49 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,772,325$ | 96,000$ | 0$ | 0$ | 0$ | 24 | 0 | 0$ | 0 | 0$ | 0$ |
12 | ![]() | 2000 | 1000 | 35 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,421,444$ | 84,000$ | 0$ | 0$ | 0$ | 21 | 0 | 0$ | 0 | 0$ | 0$ |
13 | ![]() | 3500 | 2500 | 37 | 16 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 6000 | 100 | 1,113,750$ | 68,000$ | 0$ | 0$ | 0$ | 17 | 0 | 0$ | 0 | 0$ | 0$ |
14 | ![]() | 2000 | 1000 | 35 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 2,252,500$ | 144,000$ | 0$ | 0$ | 0$ | 36 | 0 | 0$ | 0 | 0$ | 0$ |
15 | ![]() | 2000 | 1000 | 25 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,979,839$ | 88,000$ | 0$ | 0$ | 0$ | 23 | 0 | 0$ | 0 | 0$ | 0$ |
16 | ![]() | 3500 | 2500 | 40 | 30 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 6000 | 100 | 1,833,645$ | 100,000$ | 0$ | 0$ | 0$ | 25 | 0 | 0$ | 0 | 0$ | 0$ |
17 | ![]() | 2000 | 1000 | 15 | 10 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,235,150$ | 60,000$ | 0$ | 0$ | 0$ | 15 | 0 | 0$ | 0 | 0$ | 0$ |
18 | ![]() | 2000 | 1000 | 58 | 25 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,969,872$ | 96,000$ | 0$ | 0$ | 0$ | 24 | 0 | 0$ | 0 | 0$ | 0$ |
19 | ![]() | 3000 | 2000 | 50 | 30 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 5000 | 100 | 1,155,000$ | 68,000$ | 0$ | 0$ | 0$ | 17 | 0 | 0$ | 0 | 0$ | 0$ |
20 | ![]() | 2000 | 1000 | 35 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,657,500$ | 100,000$ | 0$ | 0$ | 0$ | 25 | 0 | 0$ | 0 | 0$ | 0$ |
21 | ![]() | 2000 | 1000 | 20 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,809,250$ | 88,000$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0 | 0$ | 0$ |
22 | ![]() | 2000 | 1000 | 35 | 15 | 0 | 0 | 0.00% | 0.00% | 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 | 1,568,000$ | 88,000$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0 | 0$ | 0$ |