| 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 | Team Total Estimate | ||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | Team | Level1 | Level2 | Level3 | Level4 | Luxury | Level1 | Level2 | Level3 | Level4 | Luxury | Level1 | Level2 | Level3 | Level4 | Luxury | Level1 | Level2 | Level3 | Level4 | Luxury | Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity | Players Total Salaries | Players Total Average Salaries | Special Salary Cap Value | Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap | Luxury Taxe Total | Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses | Estimated Season Expenses | Estimated Season Salary Cap | Over Minimum Salary Cap of 750,000$ | Maximum Salary Cap | Available Salary Cap | Current Bank Account | Projected Bank Account |
| 1 | Anaheim Ducks | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 32 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 119,313,523$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 2 | California Golden Seals | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 35 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 106,370,190$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 3 | Chicago Blackhawks | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 38 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 33,774,125$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 4 | Columbus Blue Jackets | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 17,250,000$ | 132,156,110$ | 0$ | 0$ | 0$ | 0$ | 23 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 5 | Detroit Red Wings | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 37 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 18,000,000$ | 138,341,667$ | 0$ | 0$ | 0$ | 0$ | 24 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 6 | Hartford Whalers | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 115,133,699$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 7 | Kansas City Scouts | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 37 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 64,820,149$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 8 | New Jersey Devils | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 39 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 113,591,666$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 9 | Pittsburgh Penguins | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 37,277,499$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 10 | Portland Winterhawks | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 38 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,001$ | 87,195,332$ | 0$ | 0$ | 0$ | 0$ | 23 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 11 | San Jose Sharks | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 66,801,236$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 12 | St Louis Blues | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 122,900,000$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 13 | Tampa Bay Lightning | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 31 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 181,525,000$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 14 | Toronto Maple Leafs | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 72,135,833$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 15 | Vancouver Millionaires | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 110,969,723$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |
| 16 | Winnipeg Jets | 6000 | 5000 | 2000 | 4000 | 1000 | 100 | 60 | 35 | 25 | 200 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 | 16,500,000$ | 100,298,171$ | 0$ | 0$ | 0$ | 0$ | 22 | 0 | 0$ | 0$ | 0 | 0$ | 0$ | 0$ | 0$ | -750,000$ | 999,999,999$ | 999,999,999$ | 100,000,000$ | 100,000,000$ |