| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 51 | 30 | 15 | 6 | 66 |
| 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$/4yrs | |||
Rylan Meunier | 65 | LW | 100.00 | 63 | 40 | 88 | 72 | 83 | 88 | 55 | 69 | 56 | 61 | 69 | 97 | 35 | 98 | 92 | 56 | 50 | 73 | 25 | 1,000,000$/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$/1yrs | |||
Easton Jamieson (A) | 17 | C | 100.00 | 59 | 49 | 90 | 72 | 77 | 99 | 94 | 67 | 64 | 72 | 61 | 37 | 33 | 77 | 87 | 42 | 50 | 72 | 26 | 1,200,000$/2yrs | |||
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 | |||
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$/3yrs | |||
Tony Delaurentis (R) | 56 | LW | 100.00 | 41 | 60 | 59 | 76 | 27 | 59 | 85 | 65 | 50 | 46 | 76 | 87 | 81 | 78 | 35 | 74 | 50 | 62 | 22 | 700,000$/1yrs | |||
Ivan Nekhrist | 41 | D | 100.00 | 49 | 59 | 83 | 91 | 56 | 99 | 75 | 84 | 25 | 55 | 65 | 59 | 98 | 80 | 64 | 19 | 50 | 72 | 33 | 1,720,000$/2yrs | |||
Connie Leather (R) | 66 | D | 100.00 | 96 | 40 | 82 | 72 | 59 | 62 | 57 | 92 | 25 | 63 | 61 | 73 | 63 | 59 | 97 | 65 | 50 | 69 | 22 | 700,000$/1yrs | |||
Siegfried Klatt (R) | 85 | D | 100.00 | 54 | 28 | 94 | 89 | 70 | 89 | 57 | 78 | 25 | 44 | 57 | 85 | 57 | 75 | 37 | 75 | 50 | 69 | 21 | 800,000$/1yrs | |||
Bohdan Palamarchuk | 43 | D | 100.00 | 87 | 35 | 58 | 71 | 38 | 94 | 53 | 67 | 25 | 79 | 46 | 75 | 39 | 52 | 61 | 56 | 50 | 66 | 24 | 700,000$/1yrs | |||
Joachim Pickering (R) | 8 | D | 100.00 | 52 | 41 | 90 | 64 | 46 | 61 | 53 | 91 | 25 | 83 | 38 | 86 | 94 | 84 | 56 | 66 | 50 | 64 | 21 | 950,000$/5yrs | |||
Yevheniy Yakovenko (R) | 44 | D | 100.00 | 45 | 32 | 87 | 55 | 42 | 67 | 68 | 75 | 25 | 61 | 63 | 55 | 91 | 66 | 88 | 72 | 50 | 61 | 22 | 700,000$/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$/2yrs | |||
Dane Wooten (R) | 26 | LW | 100.00 | 78 | 52 | 76 | 58 | 84 | 60 | 55 | 82 | 62 | 87 | 85 | 65 | 63 | 57 | 88 | 58 | 50 | 73 | 23 | 1,999,999$/3yrs | |||
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$/2yrs | |||
Jens Liljegren (R) | 35 | D | 100.00 | 90 | 58 | 73 | 65 | 58 | 79 | 64 | 71 | 25 | 73 | 57 | 70 | 71 | 46 | 52 | 63 | 50 | 69 | 23 | 1,900,000$/3yrs | |||
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$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tylor Rebelo | 70 | 100.00 | 75 | 55 | 79 | 69 | 76 | 99 | 68 | 90 | 63 | 68 | 93 | 66 | 71 | 28 | 50 | 74 | 30 | 1,510,000$/2yrs |
Branislav Herceg | 48 | 99.00 | 76 | 69 | 77 | 77 | 64 | 66 | 75 | 72 | 89 | 70 | 71 | 84 | 76 | 54 | 50 | 74 | 18 | 900,000$/3yrs |
| Scratches | ||||||||||||||||||||
Gleb Zazulenko | 38 | 100.00 | 90 | 70 | 68 | 79 | 85 | 71 | 54 | 96 | 89 | 74 | 87 | 66 | 53 | 69 | 50 | 78 | 22 | 800,000$/1yrs |
| 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 | 51 | 22 | 25 | 47 | 7 | 6 | 0 | 64 | 167 | 65 | 112 | 13.17% | 29 | 16.60 | 5 | 8 | 13 | 0 | 0 | 0 | 1 | 5 | 1 | 53.57% | 0 | 1 | 0.92 | 0 | 0 | 1.03 | |||
| 2 | Dane Wooten | Hornets (DOC) | LW | 44 | 10 | 18 | 28 | 1 | 32 | 10 | 88 | 105 | 27 | 64 | 9.52% | 19 | 16.96 | 1 | 4 | 5 | 0 | 0 | 0 | 18 | 1 | 0 | 47.83% | 1 | 0 | 0.64 | 1 | 2 | 0.58 | |||
| 3 | Maitland Cable | Hornets (DOC) | C | 46 | 11 | 14 | 25 | -5 | 37 | 15 | 111 | 70 | 24 | 46 | 15.71% | 18 | 15.47 | 2 | 0 | 2 | 0 | 0 | 0 | 4 | 3 | 1 | 54.26% | 0 | 0 | 0.54 | 0 | 0 | 0.41 | |||
| 4 | Aiden Wourms | Hornets (DOC) | RW | 36 | 12 | 12 | 24 | -14 | 5 | 5 | 3 | 115 | 48 | 51 | 10.43% | 11 | 18.02 | 2 | 5 | 7 | 0 | 0 | 0 | 4 | 3 | 1 | 45.33% | 1 | 0 | 0.67 | 0 | 3 | 0.60 | |||
| 5 | Easton Jamieson | Hornets (DOC) | C | 38 | 8 | 12 | 20 | 11 | 7 | 5 | 30 | 51 | 16 | 41 | 15.69% | 11 | 15.91 | 2 | 4 | 6 | 0 | 1 | 1 | 17 | 1 | 0 | 43.86% | 0 | 0 | 0.53 | 0 | 0 | 0.56 | |||
| 6 | Adalbert Berlin | Hornets (DOC) | C | 43 | 5 | 15 | 20 | -5 | 0 | 0 | 12 | 45 | 16 | 43 | 11.11% | 19 | 15.51 | 3 | 6 | 9 | 0 | 0 | 0 | 24 | 0 | 1 | 52.80% | 0 | 0 | 0.47 | 1 | 4 | 0.39 | |||
| 7 | Antonio Donohoe | Hornets (DOC) | RW | 51 | 10 | 10 | 20 | 6 | 23 | 5 | 14 | 105 | 32 | 51 | 9.52% | 20 | 14.22 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 2 | 0 | 57.14% | 0 | 0 | 0.39 | 0 | 0 | 0.43 | |||
| 8 | Oskar Carlsson | Hornets (DOC) | C | 35 | 12 | 7 | 19 | 1 | 0 | 0 | 12 | 68 | 24 | 46 | 17.65% | 18 | 14.68 | 2 | 2 | 4 | 0 | 0 | 0 | 3 | 4 | 3 | 55.37% | 0 | 0 | 0.54 | 0 | 0 | 0.61 | |||
| 9 | Deimantas Dainys | Hornets (DOC) | LW | 32 | 9 | 9 | 18 | 9 | 2 | 0 | 61 | 34 | 4 | 14 | 26.47% | 8 | 13.75 | 4 | 3 | 7 | 0 | 0 | 0 | 9 | 1 | 0 | 71.43% | 0 | 0 | 0.56 | 0 | 0 | 0.61 | |||
| 10 | Gennady Oginsky | Hornets (DOC) | RW | 30 | 8 | 9 | 17 | -3 | 0 | 0 | 30 | 92 | 30 | 42 | 8.70% | 14 | 16.64 | 1 | 4 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 40.00% | 0 | 0 | 0.57 | 1 | 2 | 0.67 | |||
| 11 | Jens Liljegren | Hornets (DOC) | D | 48 | 3 | 12 | 15 | -6 | 42 | 30 | 121 | 59 | 23 | 21 | 5.08% | 62 | 21.08 | 0 | 2 | 2 | 0 | 2 | 2 | 19 | 2 | 0 | 0.00% | 0 | 0 | 0.31 | 0 | 0 | 0.21 | |||
| 12 | Siegfried Klatt | Hornets (DOC) | D | 32 | 0 | 15 | 15 | -1 | 0 | 0 | 12 | 42 | 24 | 20 | 0.00% | 38 | 18.95 | 0 | 3 | 3 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.47 | 0 | 0 | 0.46 | |||
| 13 | Ivan Nekhrist | Hornets (DOC) | D | 29 | 2 | 11 | 13 | -7 | 14 | 10 | 14 | 60 | 28 | 29 | 3.33% | 35 | 23.47 | 1 | 3 | 4 | 0 | 0 | 0 | 15 | 1 | 0 | 0.00% | 0 | 0 | 0.45 | 1 | 1 | 0.38 | |||
| 14 | Rylan Meunier | Hornets (DOC) | LW | 33 | 7 | 5 | 12 | 2 | 0 | 0 | 39 | 58 | 18 | 31 | 12.07% | 14 | 18.54 | 0 | 0 | 0 | 1 | 0 | 1 | 7 | 1 | 0 | 37.50% | 0 | 0 | 0.36 | 0 | 2 | 0.45 | |||
| 15 | Finlay Hellgren | Hornets (DOC) | C | 35 | 4 | 7 | 11 | -3 | 2 | 0 | 12 | 50 | 17 | 23 | 8.00% | 10 | 11.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 48.65% | 0 | 0 | 0.31 | 0 | 0 | 0.30 | |||
| 16 | Connie Leather | Hornets (DOC) | D | 30 | 2 | 7 | 9 | 0 | 4 | 0 | 76 | 36 | 20 | 27 | 5.56% | 25 | 18.39 | 1 | 1 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.37 | |||
| 17 | Joachim Pickering | Hornets (DOC) | D | 34 | 0 | 9 | 9 | -5 | 0 | 0 | 14 | 39 | 17 | 20 | 0.00% | 47 | 19.50 | 0 | 1 | 1 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 1 | 0.27 | |||
| 18 | Adel Ferrantino | Hornets (DOC) | C | 19 | 1 | 7 | 8 | 0 | 0 | 0 | 26 | 17 | 6 | 19 | 5.88% | 5 | 13.84 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 33.10% | 0 | 0 | 0.42 | 0 | 0 | 0.37 | |||
| 19 | Bohdan Palamarchuk | Hornets (DOC) | D | 45 | 1 | 7 | 8 | 8 | 13 | 5 | 122 | 29 | 13 | 12 | 3.45% | 64 | 20.42 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.29 | |||
| 20 | Tony Delaurentis | Hornets (DOC) | LW | 43 | 6 | 2 | 8 | -4 | 19 | 15 | 22 | 62 | 20 | 39 | 9.68% | 16 | 10.19 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 33.33% | 0 | 0 | 0.19 | 0 | 0 | 0.18 | |||
| 21 | Yevheniy Yakovenko | Hornets (DOC) | D | 27 | 0 | 6 | 6 | 4 | 0 | 0 | 7 | 14 | 6 | 7 | 0.00% | 15 | 17.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.26 | |||
| 22 | Akke Pyoriainen | Hornets (DOC) | D | 31 | 0 | 2 | 2 | 8 | 13 | 5 | 21 | 19 | 7 | 13 | 0.00% | 30 | 17.88 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | 0.16 | |||
| 23 | Didier Theriault | Hornets (DOC) | LW | 19 | 1 | 1 | 2 | -5 | 9 | 5 | 30 | 25 | 10 | 21 | 4.00% | 6 | 13.66 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 63.64% | 0 | 0 | 0.11 | 0 | 0 | 0.07 | |||
| Team Total or Average | 831 | 134 | 222 | 356 | -1 | 228 | 110 | 941 | 1362 | 495 | 792 | 9.84% | 534 | 16.65 | 25 | 47 | 72 | 759 | 2 | 3 | 5 | 191 | 25 | 8 | 49.66% | 2634 | 277 | 344 | 2 | 1 | 0.51 | 4 | 15 |
| 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) | 28 | 18 | 5 | 4 | 0.929 | 2.17 | 1661 | 2 | 3 | 60 | 847 | 453 | 4 | 0 | 0.611 | 18 | 27 | 13 | 7 | 3 | 3 |
| 2 | Branislav Herceg | Hornets (DOC) | 14 | 7 | 6 | 1 | 0.903 | 3.15 | 782 | 0 | 1 | 41 | 423 | 232 | 0 | 0 | 0.000 | 0 | 13 | 21 | 1 | 0 | 1 |
| 3 | Tylor Rebelo | Hornets (DOC) | 11 | 5 | 4 | 1 | 0.918 | 2.41 | 648 | 0 | 0 | 26 | 318 | 135 | 0 | 0 | 0.000 | 0 | 11 | 17 | 2 | 0 | 1 |
| Team Total or Average | 53 | 30 | 15 | 6 | 0.920 | 2.46 | 3092 | 2 | 4 | 127 | 1588 | 820 | 4 | 0 | 0.611 | 18 | 51 | 51 | 10 | 3 | 5 |
| 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$ | ||||||
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$ | |||||||
Ivan Nekhrist ![]() | D | 33 | 1,720,000$ | 1,720,000$ | 1,720,000$ | ||||||
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$ | ||||||
Oskar Carlsson ![]() | C | 26 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
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 | 6 | 2 | 2 | 0 | 0 | 0 | 1 | 1 | 15 | 19 | -4 | 7 | 0.583 | 15 | 22 | 37 | 0 | 0 | 41 | 51 | 53 | 11 | 191 | 436 | 550 | 492 | 44 | 206 | 94 | 79 | 119 | 8 | 2 | 25.00% | 2 | 1 | 50.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 41.9% | 7.9% | 90.8% | 98.6 | Unlucky |
| 2 | Jacks | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 7 | 2 | 5 | 0.833 | 9 | 14 | 23 | 0 | 0 | 41 | 51 | 53 | 11 | 99 | 436 | 550 | 492 | 44 | 92 | 19 | 9 | 54 | 7 | 2 | 28.57% | 2 | 2 | 0.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 58.3% | 9.1% | 92.4% | 101.5 | LUCKY |
| 3 | Kings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 41 | 51 | 53 | 11 | 47 | 436 | 550 | 492 | 44 | 56 | 22 | 11 | 39 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 44.4% | 8.5% | 91.1% | 99.6 | Unlucky |
| 4 | Wolverines | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 41 | 51 | 53 | 11 | 76 | 436 | 550 | 492 | 44 | 90 | 27 | 21 | 66 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 35.7% | 7.9% | 88.9% | 96.8 | Unlucky |
| 5 | Comets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 41 | 51 | 53 | 11 | 30 | 436 | 550 | 492 | 44 | 37 | 11 | 4 | 32 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 42.9% | 10.0% | 86.5% | 96.5 | FUN |
| 6 | Crusaders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 4 | 1.000 | 12 | 19 | 31 | 0 | 1 | 41 | 51 | 53 | 11 | 64 | 436 | 550 | 492 | 44 | 60 | 17 | 17 | 56 | 7 | 3 | 42.86% | 1 | 0 | 100.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 75.0% | 18.8% | 95.0% | 113.8 | LUCKY |
| 7 | Rock | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 41 | 51 | 53 | 11 | 28 | 436 | 550 | 492 | 44 | 31 | 10 | 12 | 17 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 33.3% | 10.7% | 93.5% | 104.3 | LUCKY |
| 8 | Auroras | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 6 | 0.750 | 10 | 18 | 28 | 0 | 0 | 41 | 51 | 53 | 11 | 125 | 436 | 550 | 492 | 44 | 117 | 52 | 5 | 74 | 12 | 3 | 25.00% | 0 | 0 | 0.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 50.0% | 8.0% | 94.0% | 102.0 | DULL |
| 9 | Jazz | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 6 | 8 | 6 | 0.750 | 14 | 18 | 32 | 0 | 1 | 41 | 51 | 53 | 11 | 91 | 436 | 550 | 492 | 44 | 66 | 38 | 17 | 109 | 11 | 4 | 36.36% | 1 | 0 | 100.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 62.5% | 15.4% | 90.9% | 106.3 | FUN |
| 10 | Wolfpack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 41 | 51 | 53 | 11 | 51 | 436 | 550 | 492 | 44 | 75 | 19 | 4 | 49 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 50.0% | 13.7% | 90.7% | 104.4 | FUN |
| 11 | Vipers | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 0.667 | 8 | 14 | 22 | 0 | 1 | 41 | 51 | 53 | 11 | 95 | 436 | 550 | 492 | 44 | 96 | 38 | 4 | 57 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 66.7% | 8.4% | 95.8% | 104.3 | DULL |
| 12 | Devils | 5 | 3 | 0 | 0 | 1 | 0 | 0 | 1 | 18 | 10 | 8 | 9 | 0.900 | 18 | 32 | 50 | 0 | 0 | 41 | 51 | 53 | 11 | 168 | 436 | 550 | 492 | 44 | 159 | 54 | 11 | 110 | 19 | 4 | 21.05% | 3 | 1 | 66.67% | 1 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 60.9% | 10.7% | 93.7% | 104.4 | LUCKY |
| 13 | Guppies | 3 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 7 | 9 | -2 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 41 | 51 | 53 | 11 | 107 | 436 | 550 | 492 | 44 | 85 | 37 | 9 | 60 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 38.5% | 6.5% | 89.4% | 96.0 | Unlucky |
| 14 | Stingers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 41 | 51 | 53 | 11 | 35 | 436 | 550 | 492 | 44 | 37 | 17 | 4 | 15 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 57.1% | 14.3% | 91.9% | 106.2 | LUCKY |
| 15 | Schooners | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 41 | 51 | 53 | 11 | 26 | 436 | 550 | 492 | 44 | 45 | 17 | 0 | 20 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 40.0% | 7.7% | 93.3% | 101.0 | DULL |
| 16 | Hydra | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 9 | -2 | 1 | 0.250 | 7 | 12 | 19 | 0 | 0 | 41 | 51 | 53 | 11 | 45 | 436 | 550 | 492 | 44 | 66 | 23 | 4 | 29 | 8 | 3 | 37.50% | 2 | 0 | 100.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 30.8% | 15.6% | 86.4% | 101.9 | FUN |
| 17 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 41 | 51 | 53 | 11 | 59 | 436 | 550 | 492 | 44 | 67 | 17 | 0 | 33 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 33.3% | 5.1% | 91.0% | 96.1 | Unlucky |
| 18 | Northmen | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 41 | 51 | 53 | 11 | 21 | 436 | 550 | 492 | 44 | 42 | 14 | 6 | 19 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 50.0% | 4.8% | 95.2% | 100.0 | DULL |
| 19 | Yeti | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 10 | 4 | 6 | 0.750 | 14 | 22 | 36 | 0 | 0 | 41 | 51 | 53 | 11 | 117 | 436 | 550 | 492 | 44 | 139 | 52 | 31 | 72 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 56.5% | 12.0% | 92.8% | 104.8 | LUCKY |
| 20 | Wild Wings | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 41 | 51 | 53 | 11 | 30 | 436 | 550 | 492 | 44 | 22 | 9 | 6 | 28 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 75.0% | 13.3% | 86.4% | 99.7 | FUN |
| _Vs Division | 6 | 7 | 3 | 0 | 2 | 0 | 1 | 2 | 20 | 15 | 5 | 22 | 1.833 | 20 | 31 | 51 | 0 | 0 | 41 | 51 | 53 | 11 | 173 | 436 | 550 | 492 | 44 | 218 | 83 | 41 | 106 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 56.3% | 11.6% | 93.1% | 104.7 | LUCKY | |
| _Vs Conference | 39 | 18 | 11 | 0 | 5 | 2 | 1 | 2 | 112 | 94 | 18 | 52 | 0.667 | 112 | 178 | 290 | 0 | 2 | 41 | 51 | 53 | 11 | 1167 | 436 | 550 | 492 | 44 | 1181 | 452 | 201 | 809 | 85 | 20 | 23.53% | 23 | 7 | 69.57% | 2 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 51.4% | 9.6% | 92.0% | 101.6 | LUCKY | |
| _Since Last GM Reset | 51 | 23 | 15 | 0 | 6 | 3 | 1 | 3 | 152 | 130 | 22 | 66 | 0.647 | 152 | 243 | 395 | 0 | 4 | 41 | 51 | 53 | 11 | 1505 | 436 | 550 | 492 | 44 | 1588 | 587 | 254 | 1058 | 114 | 30 | 26.32% | 37 | 11 | 70.27% | 2 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 50.6% | 10.1% | 91.8% | 101.9 | LUCKY | |
| Total | 51 | 23 | 15 | 0 | 6 | 3 | 1 | 3 | 152 | 130 | 22 | 66 | 0.647 | 152 | 243 | 395 | 0 | 4 | 41 | 51 | 53 | 11 | 1505 | 436 | 550 | 492 | 44 | 1588 | 587 | 254 | 1058 | 114 | 30 | 26.32% | 37 | 11 | 70.27% | 2 | 488 | 954 | 51.15% | 510 | 1031 | 49.47% | 347 | 695 | 49.93% | 1053 | 599 | 1117 | 452 | 924 | 471 | 50.6% | 10.1% | 91.8% | 101.9 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 20 |
| Neutral Zone | 18 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 954 |
| Neutral Zone Start | 695 |
| Defensive Zone Start | 1031 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1345 |
| Faceoffs Lost | 1335 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.5 | 9.57 |
| 2nd Period | 19.3 | 20.31 |
| 3rd Period | 29.0 | 30.68 |
| Overtime | 29.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 120 |
|---|---|
| PP Goal | 30 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 14 | 16 |
| Lost | 8 | 7 |
| Overtime Lost | 1 | 5 |
| PP Attempt | 114 |
|---|---|
| PP Goal | 30 |
| PK Attempt | 37 |
| PK Goal Against | 11 |
| Home | |
|---|---|
| Shots For | 29.5 |
| Shots Against | 31.1 |
| Goals For | 3.0 |
| Goals Against | 2.5 |
| Hits | 20.7 |
| Shots Blocked | 11.5 |
| Pim | 5.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,838,951$ | 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 | 31675 | 21785 | |||
| Attendance PCT | 68.86% | 94.72% | 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 |
| 17 | 2324 - 77.48% | 72,759$ | 1,673,463$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,838,951$ | 2,838,951$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,318,969$ | 2,838,951$ | 2,318,969$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 1,236,907$ | 58 | 25,939$ | 1,530,401$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,530,401$ | 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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Norman Krichew is out for 2 weeks because of a Bruised Left Foot Injury.
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