| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 77 | 43 | 26 | 8 | 94 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aiden Wourms | 25 | RW | 100.00 | 35 | 45 | 98 | 87 | 66 | 61 | 92 | 98 | 83 | 96 | 62 | 38 | 77 | 65 | 59 | 38 | 50 | 76 | 28 | 1,400,000$/4yrs | |||
Emilio Mabry (R) | 46 | LW | 100.00 | 31 | 45 | 85 | 74 | 90 | 74 | 51 | 85 | 91 | 85 | 90 | 69 | 60 | 90 | 30 | 58 | 50 | 76 | 23 | 1,900,999$/3yrs | |||
Dane Wooten (R) | 26 | LW | 98.00 | 78 | 52 | 76 | 58 | 84 | 60 | 55 | 82 | 62 | 87 | 85 | 65 | 63 | 57 | 88 | 58 | 50 | 73 | 23 | 1,999,999$/3yrs | |||
Easton Jamieson (A) | 17 | C | 100.00 | 59 | 49 | 90 | 72 | 77 | 99 | 94 | 67 | 64 | 72 | 61 | 37 | 33 | 77 | 87 | 42 | 50 | 72 | 26 | 1,200,000$/2yrs | |||
Oskar Carlsson (A) | 31 | C | 100.00 | 54 | 34 | 98 | 85 | 94 | 63 | 59 | 87 | 96 | 74 | 44 | 56 | 75 | 92 | 44 | 38 | 50 | 72 | 26 | 1,600,000$/2yrs | |||
Maitland Cable | 51 | C | 100.00 | 99 | 64 | 94 | 58 | 62 | 93 | 76 | 89 | 93 | 82 | 37 | 43 | 48 | 94 | 79 | 1 | 50 | 72 | 36 | 835,000$/2yrs | |||
Artsyom Marakow (R) | 37 | RW | 100.00 | 64 | 45 | 67 | 87 | 99 | 71 | 89 | 92 | 46 | 53 | 64 | 52 | 53 | 62 | 84 | 68 | 50 | 72 | 21 | 900,000$/3yrs | |||
Antonio Donohoe (R) | 58 | RW | 100.00 | 33 | 56 | 62 | 65 | 61 | 82 | 55 | 70 | 78 | 79 | 89 | 80 | 56 | 89 | 91 | 56 | 50 | 71 | 23 | 1,200,000$/2yrs | |||
Deimantas Dainys | 69 | LW | 100.00 | 89 | 51 | 71 | 57 | 82 | 70 | 50 | 61 | 75 | 45 | 98 | 99 | 35 | 99 | 78 | 40 | 50 | 70 | 29 | 1,330,000$/1yrs | |||
Didier Theriault | 0 | LW | 100.00 | 93 | 62 | 75 | 69 | 53 | 84 | 70 | 80 | 89 | 49 | 63 | 65 | 60 | 90 | 87 | 33 | 50 | 69 | 28 | 700,000$/1yrs | |||
Finlay Hellgren (R) | 22 | C | 100.00 | 52 | 31 | 86 | 71 | 82 | 46 | 59 | 81 | 72 | 34 | 56 | 87 | 86 | 85 | 46 | 65 | 50 | 64 | 22 | 750,000$/3yrs | |||
Tony Delaurentis (R) | 56 | LW | 100.00 | 41 | 60 | 59 | 76 | 27 | 59 | 85 | 65 | 50 | 46 | 76 | 87 | 81 | 78 | 35 | 74 | 50 | 62 | 22 | 700,000$/1yrs | |||
Ronald Duco | 0 | D | 100.00 | 41 | 64 | 89 | 66 | 49 | 91 | 88 | 93 | 25 | 71 | 73 | 70 | 95 | 80 | 84 | 4 | 50 | 73 | 35 | 1,190,738$/1yrs | |||
Connie Leather (R) | 66 | D | 100.00 | 96 | 40 | 82 | 72 | 59 | 62 | 57 | 92 | 25 | 63 | 61 | 73 | 63 | 59 | 97 | 65 | 50 | 69 | 22 | 700,000$/1yrs | |||
Jens Liljegren (R) | 35 | D | 100.00 | 90 | 58 | 73 | 65 | 58 | 79 | 64 | 71 | 25 | 73 | 57 | 70 | 71 | 46 | 52 | 63 | 50 | 69 | 23 | 1,900,000$/3yrs | |||
Bohdan Palamarchuk | 43 | D | 100.00 | 87 | 35 | 58 | 71 | 38 | 94 | 53 | 67 | 25 | 79 | 46 | 75 | 39 | 52 | 61 | 56 | 50 | 66 | 24 | 700,000$/1yrs | |||
Akke Pyoriainen | 42 | D | 100.00 | 54 | 39 | 77 | 86 | 60 | 76 | 61 | 73 | 25 | 60 | 49 | 51 | 89 | 52 | 57 | 16 | 50 | 62 | 33 | 950,000$/2yrs | |||
Yevheniy Yakovenko (R) | 44 | D | 100.00 | 45 | 32 | 87 | 55 | 42 | 67 | 68 | 75 | 25 | 61 | 63 | 55 | 91 | 66 | 88 | 72 | 50 | 61 | 22 | 700,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Adalbert Berlin | 7 | C | 100.00 | 39 | 54 | 91 | 62 | 99 | 61 | 69 | 68 | 99 | 97 | 44 | 76 | 92 | 59 | 69 | 28 | 50 | 74 | 30 | 1,100,000$/2yrs | |||
Rylan Meunier | 65 | LW | 100.00 | 63 | 40 | 88 | 72 | 83 | 88 | 55 | 69 | 56 | 61 | 69 | 97 | 35 | 98 | 92 | 56 | 50 | 73 | 25 | 1,000,000$/2yrs | |||
Gennady Oginsky | 89 | RW | 100.00 | 77 | 50 | 83 | 90 | 59 | 74 | 88 | 83 | 58 | 69 | 46 | 77 | 89 | 76 | 82 | 1 | 50 | 73 | 36 | 1,200,000$/1yrs | |||
Adel Ferrantino (R) | 27 | C | 100.00 | 46 | 46 | 55 | 67 | 60 | 70 | 75 | 72 | 64 | 59 | 62 | 55 | 50 | 55 | 75 | 67 | 50 | 63 | 22 | 844,507$/3yrs | |||
Norman Krichew | 52 | D | 98.10 | 99 | 46 | 89 | 95 | 37 | 99 | 54 | 66 | 25 | 56 | 49 | 99 | 36 | 60 | 42 | 67 | 50 | 73 | 22 | 800,000$/1yrs | |||
Siegfried Klatt (R) | 85 | D | 88.59 | 54 | 28 | 94 | 89 | 70 | 89 | 57 | 78 | 25 | 44 | 57 | 85 | 57 | 75 | 37 | 75 | 50 | 69 | 21 | 800,000$/1yrs | |||
Joachim Pickering (R) | 8 | D | 20.28 | 52 | 41 | 90 | 64 | 46 | 61 | 53 | 91 | 25 | 83 | 38 | 86 | 94 | 84 | 56 | 66 | 50 | 64 | 21 | 950,000$/5yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gleb Zazulenko | 38 | 97.00 | 90 | 70 | 68 | 79 | 85 | 71 | 54 | 96 | 89 | 74 | 87 | 66 | 53 | 69 | 50 | 78 | 22 | 800,000$/1yrs |
Tylor Rebelo | 70 | 98.00 | 75 | 55 | 79 | 69 | 76 | 99 | 68 | 90 | 63 | 68 | 93 | 66 | 71 | 28 | 50 | 74 | 30 | 1,510,000$/2yrs |
| Scratches | ||||||||||||||||||||
Branislav Herceg | 48 | 100.00 | 76 | 69 | 77 | 77 | 64 | 66 | 75 | 72 | 89 | 70 | 71 | 84 | 76 | 54 | 50 | 74 | 18 | 900,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Patrick Taylor | 54 | 70 | 77 | 78 | 95 | 80 | 60 | USA | 50 | 4 | 1,000,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Kieran Green |
|---|
| 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 |
| # | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MPG | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Artsyom Marakow | Hornets (DOC) | RW | 77 | 36 | 36 | 72 | 12 | 14 | 0 | 91 | 291 | 100 | 162 | 12.37% | 35 | 15.74 | 6 | 9 | 15 | 0 | 0 | 0 | 1 | 7 | 1 | 45.65% | 0 | 1 | 0.94 | 0 | 0 | 1.07 | |||
| 2 | Aiden Wourms | Hornets (DOC) | RW | 62 | 20 | 27 | 47 | -14 | 5 | 5 | 7 | 199 | 70 | 97 | 10.05% | 18 | 16.97 | 2 | 9 | 11 | 0 | 0 | 0 | 4 | 5 | 1 | 47.47% | 1 | 0 | 0.76 | 0 | 3 | 0.73 | |||
| 3 | Dane Wooten | Hornets (DOC) | LW | 65 | 17 | 26 | 43 | 2 | 34 | 10 | 134 | 155 | 38 | 90 | 10.97% | 27 | 16.69 | 3 | 7 | 10 | 0 | 0 | 0 | 36 | 2 | 0 | 53.85% | 1 | 0 | 0.66 | 1 | 2 | 0.64 | |||
| 4 | Maitland Cable | Hornets (DOC) | C | 72 | 20 | 22 | 42 | 3 | 42 | 20 | 160 | 122 | 31 | 76 | 16.39% | 25 | 15.06 | 2 | 1 | 3 | 0 | 0 | 0 | 9 | 4 | 1 | 54.37% | 0 | 0 | 0.58 | 0 | 0 | 0.54 | |||
| 5 | Oskar Carlsson | Hornets (DOC) | C | 56 | 20 | 16 | 36 | -5 | 0 | 0 | 16 | 124 | 45 | 74 | 16.13% | 29 | 15.26 | 7 | 2 | 9 | 0 | 0 | 0 | 22 | 8 | 3 | 57.14% | 0 | 0 | 0.64 | 0 | 0 | 0.66 | |||
| 6 | Antonio Donohoe | Hornets (DOC) | RW | 77 | 14 | 20 | 34 | 5 | 35 | 15 | 24 | 181 | 55 | 105 | 7.73% | 31 | 14.09 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 2 | 0 | 46.30% | 0 | 0 | 0.44 | 0 | 0 | 0.48 | |||
| 7 | Easton Jamieson | Hornets (DOC) | C | 64 | 12 | 20 | 32 | 12 | 7 | 5 | 61 | 81 | 31 | 60 | 14.81% | 20 | 16.28 | 4 | 5 | 9 | 0 | 1 | 1 | 43 | 2 | 0 | 44.55% | 0 | 0 | 0.50 | 0 | 0 | 0.51 | |||
| 8 | Gennady Oginsky | Hornets (DOC) | RW | 50 | 12 | 18 | 30 | -11 | 0 | 0 | 65 | 138 | 49 | 81 | 8.70% | 23 | 16.05 | 1 | 9 | 10 | 0 | 0 | 0 | 2 | 0 | 0 | 45.28% | 0 | 0 | 0.60 | 1 | 2 | 0.64 | |||
| 9 | Emilio Mabry | Hornets (DOC) | LW | 30 | 15 | 10 | 25 | 8 | 10 | 10 | 3 | 89 | 25 | 53 | 16.85% | 12 | 17.14 | 4 | 2 | 6 | 0 | 0 | 0 | 7 | 3 | 1 | 38.18% | 0 | 1 | 0.83 | 1 | 2 | 0.90 | |||
| 10 | Deimantas Dainys | Hornets (DOC) | LW | 58 | 10 | 13 | 23 | 3 | 11 | 5 | 120 | 59 | 13 | 30 | 16.95% | 17 | 14.65 | 4 | 5 | 9 | 0 | 0 | 0 | 28 | 1 | 0 | 67.65% | 0 | 0 | 0.40 | 0 | 0 | 0.39 | |||
| 11 | Adalbert Berlin | Hornets (DOC) | C | 44 | 6 | 15 | 21 | -5 | 0 | 0 | 12 | 48 | 19 | 47 | 12.50% | 19 | 15.57 | 3 | 6 | 9 | 0 | 0 | 0 | 24 | 1 | 1 | 52.88% | 0 | 0 | 0.48 | 1 | 4 | 0.40 | |||
| 12 | Bohdan Palamarchuk | Hornets (DOC) | D | 71 | 1 | 17 | 18 | 10 | 27 | 5 | 209 | 52 | 23 | 21 | 1.92% | 91 | 20.62 | 1 | 1 | 2 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.32 | |||
| 13 | Jens Liljegren | Hornets (DOC) | D | 68 | 4 | 14 | 18 | -4 | 95 | 65 | 172 | 86 | 28 | 33 | 4.65% | 83 | 21.03 | 0 | 2 | 2 | 0 | 2 | 2 | 34 | 2 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.12 | |||
| 14 | Siegfried Klatt | Hornets (DOC) | D | 44 | 2 | 16 | 18 | 0 | 0 | 0 | 17 | 59 | 33 | 25 | 3.39% | 52 | 19.29 | 1 | 3 | 4 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 1 | 0 | 0.41 | 0 | 0 | 0.43 | |||
| 15 | Finlay Hellgren | Hornets (DOC) | C | 60 | 9 | 7 | 16 | -12 | 2 | 0 | 30 | 92 | 37 | 53 | 9.78% | 15 | 12.30 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 48.89% | 0 | 0 | 0.27 | 0 | 0 | 0.25 | |||
| 16 | Tony Delaurentis | Hornets (DOC) | LW | 68 | 8 | 8 | 16 | -7 | 33 | 25 | 34 | 102 | 43 | 67 | 7.84% | 30 | 11.53 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 37.78% | 0 | 0 | 0.24 | 0 | 0 | 0.21 | |||
| 17 | Joachim Pickering | Hornets (DOC) | D | 53 | 2 | 13 | 15 | -11 | 0 | 0 | 23 | 57 | 25 | 28 | 3.51% | 71 | 19.14 | 0 | 1 | 1 | 0 | 0 | 0 | 22 | 1 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 1 | 0.26 | |||
| 18 | Connie Leather | Hornets (DOC) | D | 50 | 2 | 11 | 13 | -7 | 6 | 0 | 134 | 62 | 32 | 36 | 3.23% | 50 | 20.02 | 1 | 1 | 2 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.30 | |||
| 19 | Rylan Meunier | Hornets (DOC) | LW | 39 | 7 | 6 | 13 | 1 | 0 | 0 | 51 | 68 | 19 | 35 | 10.29% | 18 | 17.87 | 0 | 0 | 0 | 1 | 0 | 1 | 12 | 1 | 0 | 35.29% | 0 | 0 | 0.33 | 0 | 2 | 0.42 | |||
| 20 | Yevheniy Yakovenko | Hornets (DOC) | D | 53 | 0 | 11 | 11 | 2 | 0 | 0 | 16 | 37 | 12 | 14 | 0.00% | 43 | 17.83 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.24 | |||
| 21 | Adel Ferrantino | Hornets (DOC) | C | 24 | 2 | 8 | 10 | -1 | 2 | 0 | 37 | 23 | 7 | 22 | 8.70% | 6 | 13.72 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 34.67% | 0 | 0 | 0.42 | 0 | 0 | 0.35 | |||
| 22 | Didier Theriault | Hornets (DOC) | LW | 44 | 3 | 7 | 10 | -6 | 37 | 15 | 78 | 72 | 30 | 55 | 4.17% | 15 | 13.61 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 68.00% | 0 | 0 | 0.23 | 0 | 0 | 0.16 | |||
| 23 | Ronald Duco | Hornets (DOC) | D | 7 | 1 | 3 | 4 | -4 | 15 | 15 | 1 | 11 | 4 | 4 | 9.09% | 7 | 21.33 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | -0.02 | |||
| 24 | Norman Krichew | Hornets (DOC) | D | 11 | 0 | 4 | 4 | 4 | 0 | 0 | 25 | 10 | 5 | 7 | 0.00% | 9 | 20.85 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.36 | 0 | 0 | 0.52 | |||
| 25 | Akke Pyoriainen | Hornets (DOC) | D | 45 | 0 | 3 | 3 | 13 | 20 | 10 | 34 | 27 | 16 | 21 | 0.00% | 37 | 17.92 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.17 | |||
| Team Total or Average | 1292 | 223 | 351 | 574 | -12 | 395 | 205 | 1554 | 2245 | 790 | 1296 | 9.93% | 783 | 16.49 | 40 | 65 | 105 | 1146 | 2 | 3 | 5 | 378 | 40 | 9 | 49.99% | 4155 | 461 | 511 | 3 | 2 | 0.54 | 4 | 16 |
| 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 |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Gleb Zazulenko | Hornets (DOC) | 44 | 26 | 11 | 6 | 0.919 | 2.49 | 2581 | 2 | 3 | 107 | 1322 | 697 | 6 | 1 | 0.611 | 18 | 42 | 17 | 9 | 3 | 4 |
| 2 | Tylor Rebelo | Hornets (DOC) | 20 | 9 | 7 | 1 | 0.916 | 2.54 | 1112 | 0 | 0 | 47 | 560 | 247 | 0 | 0 | 0.000 | 0 | 19 | 34 | 3 | 0 | 1 |
| 3 | Branislav Herceg | Hornets (DOC) | 17 | 8 | 8 | 1 | 0.904 | 3.12 | 962 | 0 | 2 | 50 | 520 | 286 | 0 | 0 | 0.000 | 0 | 16 | 26 | 2 | 0 | 1 |
| Team Total or Average | 81 | 43 | 26 | 8 | 0.915 | 2.63 | 4656 | 2 | 5 | 204 | 2402 | 1230 | 6 | 1 | 0.611 | 18 | 77 | 77 | 14 | 3 | 6 |
| Player Name | POS | Age | Cap Hit | 5-6 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adalbert Berlin ![]() | C | 30 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Adel Ferrantino | C | 22 | 844,507$ | 844,507$ | 844,507$ | 844,507$ | |||||
Aiden Wourms ![]() | RW | 28 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||
Akke Pyoriainen ![]() | D | 33 | 950,000$ | 950,000$ | 950,000$ | ||||||
Antonio Donohoe | RW | 23 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Artsyom Marakow | RW | 21 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Bohdan Palamarchuk | D | 24 | 700,000$ | 700,000$ | |||||||
Branislav Herceg | G | 18 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Connie Leather | D | 22 | 700,000$ | 700,000$ | |||||||
Dane Wooten | LW | 23 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||||
Deimantas Dainys ![]() | LW | 29 | 1,330,000$ | 1,330,000$ | |||||||
Didier Theriault ![]() | LW | 28 | 700,000$ | 700,000$ | |||||||
Easton Jamieson ![]() | C | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Emilio Mabry | LW | 23 | 1,900,999$ | 1,900,999$ | 1,900,999$ | 1,900,999$ | |||||
Finlay Hellgren | C | 22 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Gennady Oginsky ![]() | RW | 36 | 1,200,000$ | 1,200,000$ | |||||||
Gleb Zazulenko | G | 22 | 800,000$ | 800,000$ | |||||||
Jens Liljegren | D | 23 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | |||||
Joachim Pickering ![]() | D | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||
Maitland Cable ![]() | C | 36 | 835,000$ | 835,000$ | 835,000$ | ||||||
Norman Krichew | D | 22 | 800,000$ | 800,000$ | |||||||
Oskar Carlsson ![]() | C | 26 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Ronald Duco ![]() | D | 35 | 1,190,738$ | 1,190,738$ | |||||||
Rylan Meunier ![]() | LW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Siegfried Klatt ![]() | D | 21 | 800,000$ | 800,000$ | |||||||
Tony Delaurentis | LW | 22 | 700,000$ | 700,000$ | |||||||
Tylor Rebelo ![]() | G | 30 | 1,510,000$ | 1,510,000$ | 1,510,000$ | ||||||
Yevheniy Yakovenko | D | 22 | 700,000$ | 700,000$ |
| 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 |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Outlaws | 8 | 3 | 2 | 0 | 0 | 1 | 1 | 1 | 25 | 28 | -3 | 10 | 0.625 | 25 | 38 | 63 | 0 | 0 | 56 | 86 | 81 | 12 | 272 | 691 | 882 | 786 | 46 | 270 | 123 | 99 | 175 | 10 | 3 | 30.00% | 2 | 1 | 50.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 44.9% | 9.2% | 89.6% | 98.8 | FUN |
| 2 | Jacks | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 14 | 10 | 4 | 7 | 0.875 | 14 | 22 | 36 | 0 | 0 | 56 | 86 | 81 | 12 | 135 | 691 | 882 | 786 | 46 | 114 | 29 | 9 | 79 | 10 | 4 | 40.00% | 2 | 2 | 0.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 55.6% | 10.4% | 91.2% | 101.6 | LUCKY |
| 3 | Rampage | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 56 | 86 | 81 | 12 | 61 | 691 | 882 | 786 | 46 | 60 | 29 | 32 | 52 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 80.0% | 13.1% | 95.0% | 108.1 | LUCKY |
| 4 | Kings | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 4 | 0.500 | 9 | 14 | 23 | 0 | 0 | 56 | 86 | 81 | 12 | 103 | 691 | 882 | 786 | 46 | 128 | 52 | 25 | 80 | 6 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 40.9% | 8.7% | 89.8% | 98.6 | Unlucky |
| 5 | Wolverines | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 10 | 11 | -1 | 4 | 0.500 | 10 | 17 | 27 | 0 | 0 | 56 | 86 | 81 | 12 | 107 | 691 | 882 | 786 | 46 | 112 | 37 | 23 | 88 | 11 | 1 | 9.09% | 4 | 1 | 75.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 47.4% | 9.3% | 90.2% | 99.5 | FUN |
| 6 | Comets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 56 | 86 | 81 | 12 | 75 | 691 | 882 | 786 | 46 | 74 | 23 | 11 | 54 | 0 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 38.5% | 6.7% | 86.5% | 93.2 | Unlucky |
| 7 | Crusaders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 4 | 1.000 | 12 | 19 | 31 | 0 | 1 | 56 | 86 | 81 | 12 | 64 | 691 | 882 | 786 | 46 | 60 | 17 | 17 | 56 | 7 | 3 | 42.86% | 1 | 0 | 100.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 75.0% | 18.8% | 95.0% | 113.8 | LUCKY |
| 8 | Bulldogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 56 | 86 | 81 | 12 | 70 | 691 | 882 | 786 | 46 | 56 | 12 | 8 | 46 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 50.0% | 4.3% | 94.6% | 98.9 | DULL |
| 9 | Rock | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 56 | 86 | 81 | 12 | 66 | 691 | 882 | 786 | 46 | 65 | 22 | 14 | 38 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 33.3% | 6.1% | 93.8% | 99.9 | DULL |
| 10 | Auroras | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 6 | 0.750 | 10 | 18 | 28 | 0 | 0 | 56 | 86 | 81 | 12 | 125 | 691 | 882 | 786 | 46 | 117 | 52 | 5 | 74 | 12 | 3 | 25.00% | 0 | 0 | 0.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 50.0% | 8.0% | 94.0% | 102.0 | DULL |
| 11 | Jazz | 6 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 21 | 8 | 13 | 10 | 0.833 | 21 | 29 | 50 | 0 | 2 | 56 | 86 | 81 | 12 | 160 | 691 | 882 | 786 | 46 | 114 | 47 | 43 | 166 | 15 | 6 | 40.00% | 4 | 0 | 100.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 65.2% | 13.1% | 93.0% | 106.1 | LUCKY |
| 12 | Wolfpack | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 13 | 16 | -3 | 3 | 0.375 | 13 | 18 | 31 | 1 | 0 | 56 | 86 | 81 | 12 | 112 | 691 | 882 | 786 | 46 | 146 | 41 | 11 | 101 | 12 | 2 | 16.67% | 3 | 1 | 66.67% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 42.3% | 11.6% | 89.0% | 100.6 | FUN |
| 13 | Vipers | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 4 | 0.500 | 9 | 15 | 24 | 0 | 1 | 56 | 86 | 81 | 12 | 125 | 691 | 882 | 786 | 46 | 136 | 49 | 6 | 84 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 52.9% | 7.2% | 94.1% | 101.3 | DULL |
| 14 | Devils | 7 | 4 | 1 | 0 | 1 | 0 | 0 | 1 | 23 | 16 | 7 | 11 | 0.786 | 23 | 41 | 64 | 0 | 0 | 56 | 86 | 81 | 12 | 230 | 691 | 882 | 786 | 46 | 226 | 81 | 26 | 148 | 25 | 6 | 24.00% | 8 | 2 | 75.00% | 1 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 54.8% | 10.0% | 92.9% | 102.9 | LUCKY |
| 15 | Guppies | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 11 | 10 | 1 | 5 | 0.625 | 11 | 18 | 29 | 0 | 0 | 56 | 86 | 81 | 12 | 145 | 691 | 882 | 786 | 46 | 102 | 43 | 21 | 89 | 9 | 4 | 44.44% | 3 | 1 | 66.67% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 43.8% | 7.6% | 90.2% | 97.8 | Unlucky |
| 16 | Stingers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 56 | 86 | 81 | 12 | 68 | 691 | 882 | 786 | 46 | 68 | 24 | 10 | 36 | 5 | 2 | 40.00% | 5 | 0 | 100.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 35.7% | 10.3% | 86.8% | 97.1 | FUN |
| 17 | Schooners | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 56 | 86 | 81 | 12 | 58 | 691 | 882 | 786 | 46 | 83 | 24 | 0 | 48 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 33.3% | 6.9% | 92.8% | 99.7 | DULL |
| 18 | Hydra | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 9 | -2 | 1 | 0.250 | 7 | 12 | 19 | 0 | 0 | 56 | 86 | 81 | 12 | 45 | 691 | 882 | 786 | 46 | 66 | 23 | 4 | 29 | 8 | 3 | 37.50% | 2 | 0 | 100.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 30.8% | 15.6% | 86.4% | 101.9 | FUN |
| 19 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 56 | 86 | 81 | 12 | 59 | 691 | 882 | 786 | 46 | 67 | 17 | 0 | 33 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 33.3% | 5.1% | 91.0% | 96.1 | Unlucky |
| 20 | Spartans | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 56 | 86 | 81 | 12 | 64 | 691 | 882 | 786 | 46 | 70 | 26 | 6 | 41 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 37.5% | 4.7% | 91.4% | 96.1 | DULL |
| 21 | Northmen | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 56 | 86 | 81 | 12 | 58 | 691 | 882 | 786 | 46 | 78 | 30 | 8 | 31 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 63.6% | 12.1% | 93.6% | 105.7 | LUCKY |
| 22 | Yeti | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 10 | 4 | 6 | 0.750 | 14 | 22 | 36 | 0 | 0 | 56 | 86 | 81 | 12 | 117 | 691 | 882 | 786 | 46 | 139 | 52 | 31 | 72 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 56.5% | 12.0% | 92.8% | 104.8 | LUCKY |
| 23 | Wild Wings | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 56 | 86 | 81 | 12 | 69 | 691 | 882 | 786 | 46 | 52 | 15 | 21 | 56 | 4 | 1 | 25.00% | 3 | 2 | 33.33% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 61.5% | 13.0% | 86.5% | 99.6 | FUN |
| _Vs Division | 10 | 11 | 4 | 0 | 2 | 1 | 1 | 2 | 31 | 27 | 4 | 31 | 1.550 | 31 | 50 | 81 | 0 | 0 | 56 | 86 | 81 | 12 | 313 | 691 | 882 | 786 | 46 | 341 | 118 | 57 | 185 | 13 | 3 | 23.08% | 16 | 1 | 93.75% | 0 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 51.9% | 9.9% | 92.1% | 102.0 | LUCKY | |
| _Vs Conference | 53 | 26 | 15 | 0 | 5 | 4 | 1 | 2 | 159 | 137 | 22 | 70 | 0.660 | 159 | 252 | 411 | 1 | 3 | 56 | 86 | 81 | 12 | 1631 | 691 | 882 | 786 | 46 | 1604 | 606 | 299 | 1156 | 119 | 30 | 25.21% | 37 | 8 | 78.38% | 2 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 50.0% | 9.7% | 91.5% | 101.2 | LUCKY | |
| _Since Last GM Reset | 77 | 35 | 26 | 0 | 7 | 5 | 1 | 3 | 231 | 208 | 23 | 94 | 0.610 | 231 | 371 | 602 | 1 | 5 | 56 | 86 | 81 | 12 | 2388 | 691 | 882 | 786 | 46 | 2403 | 868 | 430 | 1676 | 164 | 42 | 25.61% | 65 | 15 | 76.92% | 2 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 49.5% | 9.7% | 91.3% | 101.0 | LUCKY | |
| Total | 77 | 35 | 26 | 0 | 7 | 5 | 1 | 3 | 231 | 208 | 23 | 94 | 0.610 | 231 | 371 | 602 | 1 | 5 | 56 | 86 | 81 | 12 | 2388 | 691 | 882 | 786 | 46 | 2403 | 868 | 430 | 1676 | 164 | 42 | 25.61% | 65 | 15 | 76.92% | 2 | 792 | 1524 | 51.97% | 768 | 1560 | 49.23% | 536 | 1071 | 50.05% | 1634 | 956 | 1661 | 671 | 1365 | 691 | 49.5% | 9.7% | 91.3% | 101.0 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1524 |
| Neutral Zone Start | 1071 |
| Defensive Zone Start | 1560 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2096 |
| Faceoffs Lost | 2059 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.0 | 9.57 |
| 2nd Period | 20.4 | 20.31 |
| 3rd Period | 30.6 | 30.68 |
| Overtime | 31.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.9 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 186 |
|---|---|
| PP Goal | 42 |
| PK Goal | 2 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 20 | 23 |
| Lost | 17 | 9 |
| Overtime Lost | 2 | 6 |
| PP Attempt | 164 |
|---|---|
| PP Goal | 42 |
| PK Attempt | 65 |
| PK Goal Against | 15 |
| Home | |
|---|---|
| Shots For | 31.0 |
| Shots Against | 31.2 |
| Goals For | 3.0 |
| Goals Against | 2.7 |
| Hits | 21.8 |
| Shots Blocked | 11.3 |
| Pim | 5.6 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 5,312,024$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Kansas City | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 40$ | 15$ | $ | $ | $ |
| Attendance | 53446 | 36896 | |||
| Attendance PCT | 68.52% | 94.61% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 1 | 2316 - 77.22% | 72,458$ | 2,825,843$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 5,312,024$ | 5,312,024$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,835,945$ | 5,312,024$ | 3,835,945$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 72,458$ | 12 | 42,649$ | 554,437$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 554,437$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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Siegfried Klatt is out for 1 week because of a Right Knee Injury.
Joachim Pickering is out for 2 months because of a Sprained Right Knee Injury.
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