| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 4 | 2 | 2 | 0 | 4 |
| 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 | 34 | 45 | 99 | 87 | 68 | 63 | 92 | 99 | 83 | 97 | 62 | 37 | 77 | 65 | 59 | 35 | 50 | 76 | 29 | 1,400,000$/3yrs | |||
Brigham Eveleigh | 0 | C | 100.00 | 94 | 61 | 79 | 59 | 79 | 77 | 84 | 99 | 72 | 62 | 54 | 73 | 66 | 48 | 83 | 34 | 50 | 74 | 31 | 730,000$/2yrs | |||
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 | |||
Oskar Carlsson (A) | 31 | C | 100.00 | 53 | 34 | 99 | 85 | 94 | 63 | 59 | 88 | 96 | 75 | 45 | 57 | 75 | 92 | 44 | 33 | 50 | 73 | 27 | 1,600,000$/1yrs | |||
Rylan Meunier | 65 | LW | 100.00 | 63 | 40 | 89 | 74 | 85 | 88 | 55 | 68 | 56 | 61 | 68 | 97 | 35 | 98 | 92 | 52 | 50 | 73 | 26 | 1,000,000$/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$/1yrs | |||
Maitland Cable | 51 | LW | 100.00 | 99 | 64 | 93 | 57 | 60 | 92 | 76 | 88 | 92 | 82 | 37 | 41 | 48 | 94 | 79 | 0 | 50 | 72 | 37 | 835,000$/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$/3yrs | |||
Tony Delaurentis (R) | 56 | LW | 100.00 | 42 | 60 | 59 | 75 | 26 | 60 | 86 | 64 | 50 | 45 | 75 | 92 | 81 | 78 | 35 | 69 | 50 | 62 | 23 | 800,000$/3yrs | |||
Vladislav Ralin (R) | 0 | D | 100.00 | 83 | 44 | 76 | 91 | 75 | 91 | 74 | 73 | 25 | 58 | 34 | 62 | 35 | 83 | 74 | 67 | 50 | 72 | 22 | 800,000$/2yrs | |||
Jens Liljegren (R) | 35 | D | 100.00 | 92 | 58 | 72 | 66 | 60 | 81 | 65 | 71 | 25 | 74 | 58 | 71 | 71 | 46 | 52 | 60 | 50 | 70 | 24 | 1,900,000$/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 | |||
Bohdan Palamarchuk | 43 | D | 100.00 | 89 | 35 | 58 | 72 | 39 | 95 | 54 | 67 | 25 | 80 | 47 | 77 | 39 | 52 | 61 | 52 | 50 | 67 | 25 | 1,100,000$/2yrs | |||
Joachim Pickering (R) | 8 | D | 100.00 | 51 | 41 | 92 | 64 | 46 | 61 | 53 | 91 | 25 | 83 | 38 | 86 | 94 | 84 | 56 | 60 | 50 | 64 | 22 | 950,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
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 | |||
Akke Pyoriainen | 42 | D | 100.00 | 53 | 39 | 76 | 85 | 58 | 76 | 62 | 72 | 25 | 59 | 48 | 49 | 89 | 52 | 57 | 13 | 50 | 61 | 34 | 950,000$/1yrs | |||
Yevheniy Yakovenko (R) | 44 | D | 100.00 | 44 | 32 | 89 | 54 | 40 | 66 | 68 | 74 | 25 | 61 | 62 | 54 | 91 | 66 | 88 | 69 | 50 | 60 | 23 | 800,000$/5yrs | |||
| 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 | ||||||||||||||||||||
| 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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Oskar Carlsson | Hornets (DOC) | C | 4 | 1 | 3 | 4 | 1 | 0 | 0 | 2 | 5 | 4 | 9 | 20.00% | 0 | 17.10 | 0 | 1 | 1 | 1 | 0 | 1 | 3 | 0 | 0 | 56.90% | 0 | 0 | 1.00 | 0 | 0 | 0.94 | |||
| 2 | Aiden Wourms | Hornets (DOC) | RW | 4 | 3 | 0 | 3 | -1 | 0 | 0 | 0 | 13 | 0 | 5 | 23.08% | 0 | 17.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.75 | 0 | 0 | 0.71 | |||
| 3 | Joachim Pickering | Hornets (DOC) | D | 3 | 0 | 3 | 3 | 1 | 0 | 0 | 1 | 3 | 1 | 1 | 0.00% | 8 | 17.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.96 | |||
| 4 | Maitland Cable | Hornets (DOC) | LW | 4 | 1 | 1 | 2 | 0 | 0 | 0 | 12 | 6 | 3 | 3 | 16.67% | 1 | 14.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 0 | 0 | 0.50 | 0 | 0 | 0.58 | |||
| 5 | Jens Liljegren | Hornets (DOC) | D | 4 | 0 | 2 | 2 | 2 | 4 | 0 | 14 | 5 | 1 | 1 | 0.00% | 6 | 21.90 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.53 | |||
| 6 | Artsyom Marakow | Hornets (DOC) | RW | 4 | 2 | 0 | 2 | -1 | 2 | 0 | 7 | 17 | 8 | 14 | 11.76% | 2 | 15.99 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.50 | 0 | 0 | 0.73 | |||
| 7 | Bohdan Palamarchuk | Hornets (DOC) | D | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 10 | 0 | 2 | 0 | 0.00% | 3 | 18.83 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.33 | |||
| 8 | Connie Leather | Hornets (DOC) | D | 4 | 0 | 1 | 1 | -2 | 0 | 0 | 8 | 3 | 1 | 1 | 0.00% | 4 | 20.45 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.11 | |||
| 9 | Tony Delaurentis | Hornets (DOC) | LW | 3 | 1 | 0 | 1 | 0 | 2 | 0 | 3 | 10 | 4 | 4 | 10.00% | 2 | 13.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.47 | |||
| 10 | Rylan Meunier | Hornets (DOC) | LW | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 4 | 5 | 2 | 4 | 0.00% | 1 | 17.23 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 0 | 0 | 33.33% | 0 | 0 | 0.25 | 0 | 0 | 0.35 | |||
| 11 | Adalbert Berlin | Hornets (DOC) | C | 4 | 1 | 0 | 1 | -1 | 0 | 0 | 0 | 6 | 0 | 6 | 16.67% | 3 | 14.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.36% | 0 | 0 | 0.25 | 0 | 0 | 0.24 | |||
| 12 | Antonio Donohoe | Hornets (DOC) | RW | 4 | 1 | 0 | 1 | -1 | 0 | 0 | 1 | 8 | 2 | 6 | 12.50% | 0 | 14.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.27 | |||
| 13 | Daniel Lohse | Hornets (DOC) | C | 4 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 6 | 0 | 3 | 0.00% | 1 | 12.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.25 | 0 | 0 | 0.18 | |||
| 14 | Easton Jamieson | Hornets (DOC) | LW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 6 | 2 | 2 | 0.00% | 0 | 15.80 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | |||
| 15 | Brigham Eveleigh | Hornets (DOC) | C | 4 | 0 | 0 | 0 | -2 | 2 | 0 | 6 | 4 | 4 | 4 | 0.00% | 4 | 12.15 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 54.90% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | |||
| 16 | Siegfried Klatt | Hornets (DOC) | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 3 | 2 | 0.00% | 6 | 20.93 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.16 | |||
| 17 | Vladislav Ralin | Hornets (DOC) | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 6 | 1 | 3 | 4 | 0.00% | 3 | 20.71 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | |||
| 18 | Lynn Manseau | Hornets (DOC) | RW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 6 | 0.00% | 4 | 12.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | 0.13 | |||
| Team Total or Average | 70 | 10 | 13 | 23 | -5 | 12 | 0 | 91 | 102 | 40 | 75 | 9.80% | 48 | 16.58 | 1 | 1 | 2 | 65 | 1 | 2 | 3 | 32 | 2 | 0 | 49.32% | 219 | 21 | 30 | 0 | 0 | 0.40 | 0 | 0 |
| 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) | 4 | 2 | 2 | 0 | 0.909 | 2.99 | 221 | 2 | 0 | 11 | 121 | 45 | 0 | 0 | 0.000 | 0 | 4 | 0 | 1 | 1 | 0 |
| 2 | Branislav Herceg | Hornets (DOC) | 1 | 0 | 0 | 0 | 0.818 | 6.67 | 18 | 0 | 0 | 2 | 11 | 8 | 0 | 0 | 0.000 | 0 | 0 | 4 | 0 | 0 | 0 |
| Team Total or Average | 5 | 2 | 2 | 0 | 0.902 | 3.25 | 240 | 2 | 0 | 13 | 132 | 53 | 0 | 0 | 0.000 | 0 | 4 | 4 | 1 | 1 | 0 |
| 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$ | ||||||
Aiden Wourms ![]() | RW | 29 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | |||||
Akke Pyoriainen ![]() | D | 34 | 950,000$ | 950,000$ | |||||||
Antonio Donohoe | RW | 24 | 1,200,000$ | 1,200,000$ | |||||||
Artsyom Marakow | RW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Bohdan Palamarchuk ![]() | D | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Branislav Herceg | G | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Brigham Eveleigh ![]() | C | 31 | 730,000$ | 730,000$ | 730,000$ | ||||||
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$ | |||||
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$ | |||||||
Oskar Carlsson ![]() | C | 27 | 1,600,000$ | 1,600,000$ | |||||||
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 | Comets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 5 | 3 | 2 | 0 | 31 | 37 | 40 | 30 | 0 | 28 | 15 | 2 | 24 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 42 | 87 | 48.28% | 45 | 92 | 48.91% | 26 | 50 | 52.00% | 86 | 52 | 88 | 35 | 65 | 33 | 28.6% | 6.5% | 78.6% | 85.0 | Unlucky |
| 2 | Crusaders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 4 | 8 | 0 | 0 | 5 | 3 | 2 | 0 | 22 | 37 | 40 | 30 | 0 | 38 | 15 | 2 | 27 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 42 | 87 | 48.28% | 45 | 92 | 48.91% | 26 | 50 | 52.00% | 86 | 52 | 88 | 35 | 65 | 33 | 60.0% | 18.2% | 94.7% | 112.9 | LUCKY |
| 3 | Stingers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 5 | 3 | 2 | 0 | 25 | 37 | 40 | 30 | 0 | 37 | 9 | 6 | 25 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 42 | 87 | 48.28% | 45 | 92 | 48.91% | 26 | 50 | 52.00% | 86 | 52 | 88 | 35 | 65 | 33 | 75.0% | 12.0% | 97.3% | 109.3 | LUCKY |
| 4 | Northmen | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 5 | 3 | 2 | 0 | 29 | 37 | 40 | 30 | 0 | 29 | 11 | 4 | 16 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 42 | 87 | 48.28% | 45 | 92 | 48.91% | 26 | 50 | 52.00% | 86 | 52 | 88 | 35 | 65 | 33 | 33.3% | 3.4% | 86.2% | 89.7 | Unlucky |
| _Since Last GM Reset | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | -3 | 4 | 0.500 | 10 | 15 | 25 | 0 | 0 | 5 | 3 | 2 | 0 | 107 | 37 | 40 | 30 | 0 | 132 | 50 | 14 | 92 | 8 | 1 | 12.50% | 7 | 3 | 57.14% | 1 | 42 | 87 | 48.28% | 45 | 92 | 48.91% | 26 | 50 | 52.00% | 86 | 52 | 88 | 35 | 65 | 33 | 47.4% | 9.3% | 90.2% | 99.5 | FUN | |
| Total | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | -3 | 4 | 0.500 | 10 | 15 | 25 | 0 | 0 | 5 | 3 | 2 | 0 | 107 | 37 | 40 | 30 | 0 | 132 | 50 | 14 | 92 | 8 | 1 | 12.50% | 7 | 3 | 57.14% | 1 | 42 | 87 | 48.28% | 45 | 92 | 48.91% | 26 | 50 | 52.00% | 86 | 52 | 88 | 35 | 65 | 33 | 47.4% | 9.3% | 90.2% | 99.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 16 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 87 |
| Neutral Zone Start | 50 |
| Defensive Zone Start | 92 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 113 |
| Faceoffs Lost | 116 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.3 | 9.57 |
| 2nd Period | 19.3 | 20.31 |
| 3rd Period | 26.8 | 30.68 |
| Overtime | 26.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.3 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 8 |
|---|---|
| PP Goal | 1 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 1 | 1 |
| Lost | 1 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 8 |
|---|---|
| PP Goal | 1 |
| PK Attempt | 7 |
| PK Goal Against | 3 |
| Home | |
|---|---|
| Shots For | 26.8 |
| Shots Against | 33.0 |
| Goals For | 2.5 |
| Goals Against | 3.3 |
| Hits | 23.0 |
| Shots Blocked | 12.5 |
| Pim | 3.5 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,641,951$ | 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 | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 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 |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,641,951$ | 2,641,951$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 2,641,951$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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