| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 57 | 31 | 21 | 5 | 67 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Artsyom Marakow (R) | 37 | RW | 100.00 | 64 | 45 | 68 | 87 | 99 | 75 | 91 | 96 | 46 | 55 | 66 | 53 | 53 | 62 | 84 | 64 | 50 | 74 | 22 | 900,000$/2yrs | |||
Easton Jamieson (A) | 17 | LW | 100.00 | 59 | 49 | 90 | 73 | 78 | 99 | 95 | 68 | 63 | 73 | 61 | 37 | 33 | 77 | 87 | 36 | 50 | 73 | 27 | 1,200,000$/1yrs | |||
Rylan Meunier | 65 | LW | 100.00 | 63 | 40 | 89 | 74 | 85 | 88 | 55 | 68 | 56 | 61 | 68 | 97 | 35 | 98 | 92 | 52 | 50 | 73 | 26 | 1,000,000$/1yrs | |||
Adalbert Berlin | 7 | C | 100.00 | 38 | 54 | 91 | 61 | 97 | 61 | 70 | 68 | 98 | 97 | 43 | 74 | 92 | 59 | 69 | 24 | 50 | 73 | 31 | 1,100,000$/1yrs | |||
Maitland Cable | 51 | LW | 99.00 | 99 | 64 | 93 | 57 | 60 | 92 | 76 | 88 | 92 | 82 | 37 | 41 | 48 | 94 | 79 | 0 | 50 | 72 | 37 | 835,000$/1yrs | |||
Antonio Donohoe (R) | 58 | RW | 100.00 | 32 | 56 | 61 | 65 | 62 | 85 | 57 | 70 | 78 | 80 | 89 | 84 | 56 | 89 | 91 | 51 | 50 | 72 | 24 | 1,200,000$/1yrs | |||
Daniel Lohse (R) | 0 | C | 100.00 | 37 | 30 | 87 | 54 | 46 | 92 | 97 | 70 | 61 | 95 | 39 | 60 | 75 | 33 | 76 | 72 | 50 | 69 | 21 | 800,000$/3yrs | |||
Lynn Manseau (R) | 0 | RW | 100.00 | 87 | 27 | 88 | 60 | 82 | 67 | 64 | 62 | 48 | 52 | 62 | 84 | 78 | 28 | 35 | 72 | 50 | 67 | 21 | 800,000$/3yrs | |||
Finlay Hellgren (R) | 22 | C | 100.00 | 51 | 31 | 88 | 70 | 81 | 46 | 59 | 80 | 72 | 34 | 55 | 86 | 86 | 85 | 46 | 59 | 50 | 63 | 23 | 750,000$/2yrs | |||
Adel Ferrantino (R) | 27 | C | 100.00 | 45 | 46 | 57 | 67 | 59 | 68 | 74 | 71 | 64 | 58 | 61 | 53 | 50 | 55 | 75 | 62 | 50 | 62 | 23 | 844,507$/2yrs | |||
Tony Delaurentis (R) | 56 | LW | 100.00 | 42 | 60 | 59 | 75 | 26 | 60 | 86 | 64 | 50 | 45 | 75 | 92 | 81 | 78 | 35 | 69 | 50 | 62 | 23 | 800,000$/3yrs | |||
Vladislav Ralin (R) | 55 | D | 99.00 | 83 | 44 | 76 | 91 | 75 | 91 | 74 | 73 | 25 | 58 | 34 | 62 | 35 | 83 | 74 | 67 | 50 | 72 | 22 | 800,000$/2yrs | |||
Jens Liljegren (R) | 35 | D | 99.00 | 92 | 58 | 72 | 66 | 60 | 81 | 65 | 71 | 25 | 74 | 58 | 71 | 71 | 46 | 52 | 60 | 50 | 70 | 24 | 1,900,000$/2yrs | |||
Siegfried Klatt (R) | 85 | D | 100.00 | 53 | 28 | 96 | 89 | 70 | 89 | 57 | 78 | 25 | 47 | 57 | 85 | 57 | 75 | 37 | 70 | 50 | 70 | 22 | 1,950,000$/5yrs | |||
Connie Leather (R) | 66 | D | 100.00 | 97 | 40 | 83 | 72 | 59 | 62 | 57 | 92 | 25 | 63 | 61 | 71 | 63 | 59 | 97 | 61 | 50 | 68 | 23 | 1,600,000$/3yrs | |||
Andre-Philippe Scarpone (R) | 0 | D | 100.00 | 90 | 75 | 55 | 69 | 59 | 95 | 75 | 92 | 25 | 49 | 54 | 52 | 92 | 33 | 50 | 63 | 50 | 68 | 23 | 825,000$/1yrs | |||
Baron Knowles | 0 | D | 100.00 | 67 | 39 | 63 | 58 | 72 | 68 | 72 | 89 | 25 | 39 | 70 | 80 | 87 | 97 | 61 | 56 | 50 | 66 | 26 | 700,000$/1yrs | |||
Joachim Pickering (R) | 8 | D | 100.00 | 51 | 41 | 92 | 64 | 46 | 61 | 53 | 91 | 25 | 83 | 38 | 86 | 94 | 84 | 56 | 60 | 50 | 64 | 22 | 950,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Yevheniy Yakovenko (R) | 44 | D | 100.00 | 44 | 32 | 89 | 54 | 40 | 66 | 68 | 74 | 25 | 61 | 62 | 54 | 91 | 66 | 88 | 69 | 50 | 60 | 23 | 800,000$/5yrs | |||
Dayton Schwindt (R) | 30 | D | 100.00 | 27 | 50 | 70 | 74 | 28 | 76 | 57 | 61 | 25 | 58 | 67 | 94 | 81 | 92 | 59 | 62 | 50 | 60 | 23 | 700,000$/1yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tylor Rebelo | 70 | 100.00 | 74 | 55 | 79 | 69 | 76 | 98 | 68 | 91 | 64 | 67 | 92 | 66 | 71 | 23 | 50 | 74 | 31 | 1,510,000$/1yrs |
Branislav Herceg | 48 | 100.00 | 76 | 69 | 77 | 78 | 66 | 66 | 77 | 72 | 89 | 70 | 71 | 84 | 76 | 48 | 50 | 74 | 19 | 900,000$/2yrs |
| Scratches | ||||||||||||||||||||
Nikolas Jakubko | 33 | 100.00 | 63 | 73 | 59 | 60 | 73 | 75 | 63 | 54 | 75 | 56 | 64 | 64 | 52 | 65 | 50 | 65 | 22 | 940,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Patrick Taylor | 57 | 74 | 79 | 83 | 96 | 80 | 57 | USA | 51 | 3 | 1,000,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| 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 | PPT | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Artsyom Marakow | Hornets (DOC) | RW | 52 | 29 | 22 | 51 | 13 | 10 | 0 | 69 | 198 | 75 | 106 | 14.65% | 16 | 17.02 | 0.00 | 3 | 7 | 10 | 0 | 0 | 0 | 0 | 7 | 1 | 33.33% | 1 | 1 | 0.98 | 2 | 3 | 1.14 | ||
| 2 | Daniel Lohse | Hornets (DOC) | C | 57 | 14 | 27 | 41 | 13 | 5 | 5 | 8 | 88 | 24 | 61 | 15.91% | 20 | 15.68 | 0.00 | 3 | 4 | 7 | 0 | 1 | 1 | 32 | 2 | 1 | 36.62% | 0 | 0 | 0.72 | 1 | 1 | 0.67 | ||
| 3 | Maitland Cable | Hornets (DOC) | LW | 57 | 14 | 15 | 29 | 4 | 20 | 20 | 135 | 116 | 31 | 79 | 12.07% | 13 | 15.46 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 2 | 3 | 50.00% | 0 | 0 | 0.51 | 0 | 0 | 0.57 | ||
| 4 | Connie Leather | Hornets (DOC) | D | 51 | 3 | 24 | 27 | 2 | 23 | 5 | 143 | 62 | 21 | 29 | 4.84% | 48 | 20.52 | 0.00 | 1 | 5 | 6 | 0 | 0 | 0 | 37 | 1 | 0 | 0.00% | 0 | 0 | 0.53 | 0 | 0 | 0.48 | ||
| 5 | Easton Jamieson | Hornets (DOC) | LW | 57 | 7 | 16 | 23 | -8 | 7 | 5 | 62 | 75 | 28 | 50 | 9.33% | 18 | 16.57 | 0.00 | 2 | 4 | 6 | 1 | 0 | 1 | 48 | 1 | 2 | 45.76% | 0 | 0 | 0.40 | 1 | 3 | 0.36 | ||
| 6 | Adalbert Berlin | Hornets (DOC) | C | 56 | 4 | 18 | 22 | 4 | 27 | 15 | 13 | 65 | 23 | 33 | 6.15% | 20 | 12.11 | 0.00 | 1 | 2 | 3 | 0 | 0 | 0 | 30 | 2 | 0 | 52.97% | 0 | 0 | 0.39 | 0 | 0 | 0.30 | ||
| 7 | Antonio Donohoe | Hornets (DOC) | RW | 57 | 16 | 6 | 22 | -1 | 30 | 20 | 20 | 187 | 34 | 112 | 8.56% | 23 | 15.42 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 56.10% | 0 | 0 | 0.39 | 0 | 1 | 0.49 | ||
| 8 | Finlay Hellgren | Hornets (DOC) | C | 50 | 9 | 11 | 20 | 6 | 4 | 0 | 29 | 75 | 21 | 32 | 12.00% | 16 | 14.20 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 48.86% | 0 | 0 | 0.40 | 0 | 0 | 0.43 | ||
| 9 | Rylan Meunier | Hornets (DOC) | LW | 49 | 8 | 12 | 20 | 15 | 7 | 5 | 54 | 73 | 24 | 43 | 10.96% | 16 | 15.54 | 0.00 | 3 | 0 | 3 | 1 | 0 | 1 | 37 | 2 | 1 | 40.54% | 0 | 0 | 0.41 | 0 | 1 | 0.53 | ||
| 10 | Tony Delaurentis | Hornets (DOC) | LW | 41 | 9 | 7 | 16 | -6 | 24 | 10 | 21 | 77 | 28 | 47 | 11.69% | 11 | 11.56 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 40.00% | 0 | 0 | 0.39 | 0 | 0 | 0.30 | ||
| 11 | Lynn Manseau | Hornets (DOC) | RW | 57 | 3 | 13 | 16 | -5 | 2 | 0 | 106 | 45 | 26 | 27 | 6.67% | 16 | 13.26 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 36.96% | 0 | 0 | 0.28 | 0 | 0 | 0.27 | ||
| 12 | Adel Ferrantino | Hornets (DOC) | C | 28 | 5 | 10 | 15 | -3 | 28 | 20 | 23 | 64 | 18 | 51 | 7.81% | 6 | 13.89 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 37.31% | 0 | 0 | 0.54 | 0 | 0 | 0.36 | ||
| 13 | Siegfried Klatt | Hornets (DOC) | D | 43 | 3 | 11 | 14 | -8 | 0 | 0 | 17 | 65 | 18 | 20 | 4.62% | 46 | 18.95 | 0.00 | 0 | 3 | 3 | 0 | 1 | 1 | 38 | 1 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.31 | ||
| 14 | Vladislav Ralin | Hornets (DOC) | D | 37 | 1 | 13 | 14 | 1 | 20 | 10 | 103 | 49 | 32 | 19 | 2.04% | 48 | 24.64 | 0.00 | 0 | 3 | 3 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.39 | ||
| 15 | Jens Liljegren | Hornets (DOC) | D | 44 | 1 | 12 | 13 | 2 | 24 | 10 | 141 | 50 | 16 | 26 | 2.00% | 41 | 23.50 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 37 | 0 | 1 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.30 | ||
| 16 | Andre-Philippe Scarpone | Hornets (DOC) | D | 23 | 2 | 7 | 9 | 3 | 75 | 35 | 62 | 18 | 8 | 16 | 11.11% | 13 | 19.27 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.39 | 0 | 0 | -0.10 | ||
| 17 | Baron Knowles | Hornets (DOC) | D | 24 | 2 | 5 | 7 | 3 | 8 | 0 | 42 | 22 | 8 | 14 | 9.09% | 29 | 18.77 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.34 | ||
| 18 | Yevheniy Yakovenko | Hornets (DOC) | D | 26 | 1 | 3 | 4 | 9 | 0 | 0 | 4 | 12 | 8 | 3 | 8.33% | 15 | 12.48 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.15 | 0 | 0 | 0.28 | ||
| 19 | Joachim Pickering | Hornets (DOC) | D | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 3 | 2 | 0 | 33.33% | 2 | 8.40 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 1.04 | ||
| 20 | Dayton Schwindt | Hornets (DOC) | D | 8 | 0 | 0 | 0 | -4 | 0 | 0 | 0 | 9 | 0 | 5 | 0.00% | 5 | 13.22 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | ||
| Team Total or Average | 819 | 132 | 233 | 365 | 41 | 314 | 160 | 1052 | 1353 | 445 | 773 | 9.76% | 422 | 16.36 | 15 | 34 | 49 | 774 | 2 | 2 | 4 | 321 | 25 | 11 | 44.16% | 2310 | 294 | 311 | 1 | 1 | 0.54 | 4 | 9 |
| 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 | Tylor Rebelo | Hornets (DOC) | 34 | 19 | 11 | 2 | 0.903 | 2.99 | 1968 | 0 | 0 | 98 | 1012 | 399 | 2 | 0 | 0.714 | 7 | 32 | 24 | 1 | 2 | 2 |
| 2 | Branislav Herceg | Hornets (DOC) | 26 | 12 | 10 | 3 | 0.908 | 2.84 | 1458 | 2 | 1 | 69 | 748 | 418 | 1 | 0 | 0.833 | 6 | 25 | 32 | 5 | 2 | 1 |
| 3 | Nikolas Jakubko | Hornets (DOC) | 1 | 0 | 0 | 0 | 0.818 | 7.06 | 17 | 0 | 0 | 2 | 11 | 4 | 0 | 0 | 0.000 | 0 | 0 | 1 | 0 | 0 | 0 |
| Team Total or Average | 61 | 31 | 21 | 5 | 0.905 | 2.94 | 3444 | 2 | 1 | 169 | 1771 | 821 | 3 | 0 | 0.769 | 13 | 57 | 57 | 6 | 4 | 3 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adalbert Berlin ![]() | C | 31 | 1,100,000$ | 1,100,000$ | |||||||
Adel Ferrantino | C | 23 | 844,507$ | 844,507$ | 844,507$ | ||||||
Andre-Philippe Scarpone | D | 23 | 825,000$ | 825,000$ | |||||||
Antonio Donohoe | RW | 24 | 1,200,000$ | 1,200,000$ | |||||||
Artsyom Marakow | RW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Baron Knowles ![]() | D | 26 | 700,000$ | 700,000$ | |||||||
Branislav Herceg | G | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Connie Leather | D | 23 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | |||||
Daniel Lohse | C | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Dayton Schwindt | D | 23 | 700,000$ | 700,000$ | |||||||
Easton Jamieson ![]() | LW | 27 | 1,200,000$ | 1,200,000$ | |||||||
Finlay Hellgren | C | 23 | 750,000$ | 750,000$ | 750,000$ | ||||||
Jens Liljegren | D | 24 | 1,900,000$ | 1,900,000$ | 1,900,000$ | ||||||
Joachim Pickering | D | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | ||||
Lynn Manseau | RW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Maitland Cable ![]() | LW | 37 | 835,000$ | 835,000$ | |||||||
Nikolas Jakubko | G | 22 | 940,000$ | 940,000$ | |||||||
Rylan Meunier ![]() | LW | 26 | 1,000,000$ | 1,000,000$ | |||||||
Siegfried Klatt | D | 22 | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | 1,950,000$ | |||
Tony Delaurentis | LW | 23 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Tylor Rebelo ![]() | G | 31 | 1,510,000$ | 1,510,000$ | |||||||
Vladislav Ralin | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Yevheniy Yakovenko | D | 23 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 800,000$ | 800,000$ |
| 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 38 | 80 | 59 | 10 | 64 | 508 | 673 | 586 | 34 | 70 | 27 | 9 | 24 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 53.8% | 10.9% | 90.0% | 100.9 | FUN |
| 2 | Jacks | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 17 | 28 | 0 | 0 | 38 | 80 | 59 | 10 | 106 | 508 | 673 | 586 | 34 | 84 | 35 | 15 | 66 | 10 | 2 | 20.00% | 5 | 2 | 60.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 64.3% | 10.4% | 91.7% | 102.0 | LUCKY |
| 3 | Rampage | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 38 | 80 | 59 | 10 | 28 | 508 | 673 | 586 | 34 | 29 | 10 | 21 | 33 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 66.7% | 7.1% | 96.6% | 103.7 | DULL |
| 4 | Kings | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 38 | 80 | 59 | 10 | 72 | 508 | 673 | 586 | 34 | 50 | 13 | 9 | 60 | 2 | 2 | 100.00% | 2 | 1 | 50.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 66.7% | 11.1% | 92.0% | 103.1 | LUCKY |
| 5 | Wolverines | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 15 | 12 | 3 | 6 | 0.750 | 15 | 25 | 40 | 0 | 0 | 38 | 80 | 59 | 10 | 106 | 508 | 673 | 586 | 34 | 127 | 49 | 2 | 89 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 53.8% | 14.2% | 90.6% | 104.7 | FUN |
| 6 | Crusaders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 2 | 0.500 | 11 | 18 | 29 | 0 | 0 | 38 | 80 | 59 | 10 | 61 | 508 | 673 | 586 | 34 | 80 | 21 | 2 | 41 | 4 | 2 | 50.00% | 1 | 1 | 0.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 50.0% | 18.0% | 87.5% | 105.5 | FUN |
| 7 | Bulldogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 38 | 80 | 59 | 10 | 66 | 508 | 673 | 586 | 34 | 59 | 14 | 20 | 43 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 36.4% | 7.6% | 88.1% | 95.7 | Unlucky |
| 8 | Rock | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 38 | 80 | 59 | 10 | 33 | 508 | 673 | 586 | 34 | 30 | 6 | 11 | 23 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 57.1% | 15.2% | 90.0% | 105.2 | FUN |
| 9 | Auroras | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 6 | 2 | 3 | 0.500 | 8 | 13 | 21 | 0 | 0 | 38 | 80 | 59 | 10 | 97 | 508 | 673 | 586 | 34 | 67 | 12 | 12 | 120 | 11 | 4 | 36.36% | 1 | 0 | 100.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 40.0% | 8.2% | 91.0% | 99.3 | Unlucky |
| 10 | Jazz | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 9 | 16 | 0 | 0 | 38 | 80 | 59 | 10 | 75 | 508 | 673 | 586 | 34 | 58 | 21 | 12 | 58 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 58.3% | 9.3% | 87.9% | 97.3 | FUN |
| 11 | Wolfpack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 38 | 80 | 59 | 10 | 36 | 508 | 673 | 586 | 34 | 35 | 5 | 2 | 18 | 2 | 1 | 50.00% | 1 | 1 | 0.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 25.0% | 5.6% | 88.6% | 94.1 | Unlucky |
| 12 | Vipers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 38 | 80 | 59 | 10 | 55 | 508 | 673 | 586 | 34 | 57 | 30 | 27 | 43 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 1 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 38.5% | 9.1% | 80.7% | 89.8 | FUN |
| 13 | Devils | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 16 | 15 | 1 | 4 | 0.400 | 16 | 26 | 42 | 0 | 0 | 38 | 80 | 59 | 10 | 145 | 508 | 673 | 586 | 34 | 179 | 67 | 47 | 91 | 9 | 1 | 11.11% | 6 | 3 | 50.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 55.6% | 11.0% | 91.6% | 102.7 | LUCKY |
| 14 | Guppies | 5 | 4 | 0 | 0 | 1 | 0 | 0 | 0 | 18 | 6 | 12 | 10 | 1.000 | 18 | 27 | 45 | 0 | 1 | 38 | 80 | 59 | 10 | 166 | 508 | 673 | 586 | 34 | 163 | 55 | 36 | 115 | 17 | 4 | 23.53% | 3 | 0 | 100.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 70.0% | 10.8% | 96.3% | 107.2 | LUCKY |
| 15 | Stingers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 38 | 80 | 59 | 10 | 34 | 508 | 673 | 586 | 34 | 29 | 9 | 9 | 18 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 1 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 60.0% | 11.8% | 89.7% | 101.4 | FUN |
| 16 | Schooners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 38 | 80 | 59 | 10 | 62 | 508 | 673 | 586 | 34 | 72 | 19 | 15 | 44 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 50.0% | 6.5% | 94.4% | 100.9 | DULL |
| 17 | Hydra | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 7 | 12 | 0 | 0 | 38 | 80 | 59 | 10 | 61 | 508 | 673 | 586 | 34 | 55 | 20 | 2 | 51 | 8 | 2 | 25.00% | 1 | 0 | 100.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 27.3% | 8.2% | 85.5% | 93.7 | Unlucky |
| 18 | Phantoms | 6 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 20 | 28 | -8 | 5 | 0.417 | 20 | 36 | 56 | 0 | 0 | 38 | 80 | 59 | 10 | 174 | 508 | 673 | 586 | 34 | 198 | 59 | 91 | 138 | 14 | 2 | 14.29% | 13 | 6 | 53.85% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 45.0% | 11.5% | 85.9% | 97.4 | FUN |
| 19 | Spartans | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 38 | 80 | 59 | 10 | 50 | 508 | 673 | 586 | 34 | 48 | 11 | 7 | 42 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 63.6% | 14.0% | 91.7% | 105.7 | LUCKY |
| 20 | Northmen | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 38 | 80 | 59 | 10 | 72 | 508 | 673 | 586 | 34 | 69 | 25 | 2 | 46 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 57.1% | 6.9% | 95.7% | 102.6 | DULL |
| 21 | Yeti | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 10 | 11 | -1 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 38 | 80 | 59 | 10 | 88 | 508 | 673 | 586 | 34 | 89 | 32 | 4 | 80 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 47.6% | 11.4% | 87.6% | 99.0 | FUN |
| 22 | Wild Wings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 38 | 80 | 59 | 10 | 76 | 508 | 673 | 586 | 34 | 58 | 20 | 5 | 44 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 54.5% | 9.2% | 91.4% | 100.6 | LUCKY |
| 23 | Drillers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 38 | 80 | 59 | 10 | 29 | 508 | 673 | 586 | 34 | 30 | 9 | 4 | 18 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 50.0% | 6.9% | 90.0% | 96.9 | Unlucky |
| 24 | Swamp Puppies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 38 | 80 | 59 | 10 | 32 | 508 | 673 | 586 | 34 | 35 | 7 | 5 | 17 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 33.3% | 3.1% | 94.3% | 97.4 | DULL |
| _Vs Division | 13 | 7 | 6 | 0 | 2 | 1 | 0 | 0 | 45 | 41 | 4 | 19 | 0.731 | 45 | 72 | 117 | 0 | 1 | 38 | 80 | 59 | 10 | 415 | 508 | 673 | 586 | 34 | 419 | 135 | 139 | 311 | 35 | 6 | 17.14% | 22 | 8 | 63.64% | 0 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 54.2% | 10.8% | 90.2% | 101.1 | FUN | |
| _Vs Conference | 37 | 14 | 14 | 0 | 4 | 3 | 1 | 1 | 122 | 114 | 8 | 42 | 0.568 | 122 | 205 | 327 | 0 | 1 | 38 | 80 | 59 | 10 | 1138 | 508 | 673 | 586 | 34 | 1149 | 393 | 258 | 862 | 80 | 17 | 21.25% | 44 | 18 | 59.09% | 1 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 52.2% | 10.7% | 90.1% | 100.8 | FUN | |
| _Since Last GM Reset | 57 | 23 | 21 | 0 | 6 | 3 | 2 | 2 | 185 | 171 | 14 | 67 | 0.588 | 185 | 304 | 489 | 0 | 1 | 38 | 80 | 59 | 10 | 1788 | 508 | 673 | 586 | 34 | 1771 | 576 | 369 | 1322 | 125 | 27 | 21.60% | 67 | 23 | 65.67% | 2 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 51.6% | 10.3% | 90.3% | 100.7 | FUN | |
| Total | 57 | 23 | 21 | 0 | 6 | 3 | 2 | 2 | 185 | 171 | 14 | 67 | 0.588 | 185 | 304 | 489 | 0 | 1 | 38 | 80 | 59 | 10 | 1788 | 508 | 673 | 586 | 34 | 1771 | 576 | 369 | 1322 | 125 | 27 | 21.60% | 67 | 23 | 65.67% | 2 | 553 | 1169 | 47.31% | 549 | 1191 | 46.10% | 408 | 847 | 48.17% | 1216 | 712 | 1221 | 508 | 1014 | 512 | 51.6% | 10.3% | 90.3% | 100.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1169 |
| Neutral Zone Start | 847 |
| Defensive Zone Start | 1191 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1510 |
| Faceoffs Lost | 1697 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.9 | 9.57 |
| 2nd Period | 20.7 | 20.31 |
| 3rd Period | 31.0 | 30.68 |
| Overtime | 31.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.3 | 2.83 |
| Even Strenght Goal | 156 |
|---|---|
| PP Goal | 27 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 16 | 15 |
| Lost | 11 | 10 |
| Overtime Lost | 2 | 3 |
| PP Attempt | 125 |
|---|---|
| PP Goal | 27 |
| PK Attempt | 67 |
| PK Goal Against | 23 |
| Home | |
|---|---|
| Shots For | 31.4 |
| Shots Against | 31.1 |
| Goals For | 3.2 |
| Goals Against | 3.0 |
| Hits | 23.2 |
| Shots Blocked | 10.1 |
| Pim | 6.5 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,235,451$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Kansas City | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 40$ | 15$ | $ | $ | $ |
| Attendance | 59813 | 55438 | |||
| Attendance PCT | 68.75% | 95.58% | 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 |
| 11 | 3974 - 79.48% | 144,528$ | 4,191,316$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,235,451$ | 3,235,451$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,441,678$ | 3,235,451$ | 1,768,206$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 1,589,810$ | 48 | 28,813$ | 1,383,024$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,383,024$ | 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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Brigham Eveleigh is out for 4 days because of a Sports Hernia Injury.
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