| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 28 | 11 | 15 | 2 | 24 |
| GM: Kelly Flewelling | League Rank:22nd | Arena: Yukon Arena |
| Conference: Western Conference | Conference Rank:12nd | Capacity:5,000 |
| Division: Northwest | Division Rank:5th | Total Player Salaries:2,830,024$ |
| Captain: Teodor Marcinkievic | Last 10: 4-4-0 | |
| Coach: Jim Hendricks | Home: 5-6-0 | |
| All-Time Record: 187 W - 180 L - 33 OTL | Away: 3-9-2 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ihor Nikitenko | 19 | C | 99.00 | 51 | 66 | 81 | 90 | 81 | 83 | 74 | 63 | 98 | 90 | 59 | 81 | 55 | 88 | 90 | 12 | 50 | 78 | 33 | 1,800,245$/1yrs | |||
Mikkomatti Niinivirta (R) | 75 | LW | 100.00 | 88 | 42 | 78 | 72 | 83 | 73 | 72 | 65 | 58 | 78 | 78 | 91 | 37 | 88 | 56 | 64 | 50 | 76 | 23 | 1,500,000$/3yrs | |||
Judd Nesbitt (R) | 52 | RW | 100.00 | 40 | 54 | 60 | 96 | 88 | 99 | 90 | 79 | 82 | 82 | 53 | 29 | 71 | 73 | 59 | 73 | 50 | 75 | 21 | 900,000$/2yrs | |||
Jan Marek (R) | 20 | RW | 100.00 | 77 | 64 | 62 | 87 | 81 | 83 | 71 | 54 | 78 | 85 | 66 | 76 | 62 | 75 | 62 | 66 | 50 | 75 | 19 | 900,000$/3yrs | |||
Edo Rozman (R) | 13 | LW | 100.00 | 74 | 65 | 62 | 87 | 79 | 67 | 80 | 61 | 80 | 69 | 81 | 87 | 71 | 63 | 79 | 85 | 50 | 75 | 18 | 1,000,000$/3yrs | |||
Leonid Veschagin | 26 | C | 100.00 | 88 | 56 | 86 | 74 | 96 | 95 | 87 | 79 | 93 | 59 | 48 | 34 | 72 | 54 | 88 | 19 | 50 | 74 | 32 | 1,500,000$/1yrs | |||
Teuvo Kuuri (R) | 45 | RW | 100.00 | 99 | 33 | 64 | 56 | 68 | 88 | 72 | 98 | 91 | 77 | 59 | 54 | 62 | 94 | 53 | 52 | 50 | 74 | 25 | 1,999,999$/1yrs | |||
Vitezslav Poupa (R) | 92 | C | 100.00 | 86 | 63 | 51 | 65 | 86 | 89 | 87 | 51 | 65 | 72 | 69 | 88 | 59 | 63 | 72 | 75 | 50 | 74 | 20 | 900,000$/2yrs | |||
Christer Kankkunen (R) | 7 | LW | 100.00 | 76 | 64 | 75 | 65 | 71 | 92 | 75 | 71 | 59 | 82 | 59 | 74 | 69 | 61 | 59 | 60 | 50 | 74 | 19 | 800,000$/3yrs | |||
Tsimafey Stadolnik (R) | 42 | LW | 100.00 | 65 | 52 | 91 | 99 | 70 | 99 | 84 | 55 | 83 | 40 | 76 | 81 | 85 | 28 | 44 | 81 | 50 | 74 | 21 | 800,000$/3yrs | |||
Nels Forget | 40 | C | 100.00 | 83 | 63 | 68 | 61 | 94 | 96 | 72 | 64 | 94 | 79 | 54 | 35 | 91 | 75 | 68 | 38 | 50 | 72 | 28 | 900,000$/1yrs | |||
Aleksandr Poiseyev (R) | 67 | LW | 100.00 | 61 | 34 | 84 | 59 | 89 | 66 | 75 | 85 | 86 | 72 | 48 | 52 | 47 | 74 | 64 | 67 | 50 | 70 | 24 | 700,000$/1yrs | |||
Pasi Korvo (R) | 77 | D | 100.00 | 73 | 60 | 60 | 78 | 74 | 70 | 96 | 79 | 82 | 87 | 85 | 65 | 63 | 69 | 77 | 61 | 50 | 78 | 19 | 1,000,000$/2yrs | |||
Teodor Marcinkievic (R) (C) | 25 | D | 100.00 | 75 | 38 | 73 | 73 | 91 | 86 | 99 | 81 | 25 | 53 | 36 | 84 | 56 | 89 | 82 | 68 | 50 | 76 | 22 | 800,000$/2yrs | |||
Anton Roy | 56 | D | 100.00 | 70 | 37 | 96 | 88 | 37 | 76 | 70 | 99 | 25 | 86 | 70 | 50 | 39 | 87 | 71 | 44 | 50 | 75 | 26 | 1,500,000$/1yrs | |||
Anders Calland (R) | 3 | D | 100.00 | 75 | 70 | 58 | 73 | 89 | 77 | 64 | 63 | 74 | 60 | 59 | 95 | 59 | 59 | 72 | 65 | 50 | 75 | 19 | 800,000$/3yrs | |||
Vytal Lancien (R) | 8 | D | 100.00 | 87 | 51 | 55 | 64 | 75 | 82 | 78 | 76 | 25 | 63 | 38 | 97 | 45 | 70 | 59 | 71 | 50 | 74 | 21 | 800,000$/2yrs | |||
Jetro Nahls (R) | 46 | D | 100.00 | 87 | 53 | 84 | 58 | 58 | 76 | 79 | 54 | 25 | 79 | 29 | 66 | 45 | 53 | 26 | 66 | 50 | 68 | 21 | 700,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jami-Petri Saukko (R) | 58 | RW | 96.23 | 51 | 55 | 53 | 96 | 83 | 99 | 75 | 62 | 84 | 68 | 58 | 99 | 76 | 37 | 46 | 67 | 50 | 77 | 21 | 800,000$/1yrs | |||
Mich Soquila (R) | 57 | RW | 100.00 | 31 | 39 | 85 | 51 | 83 | 63 | 55 | 75 | 63 | 84 | 59 | 64 | 84 | 32 | 90 | 51 | 50 | 67 | 25 | 750,000$/1yrs | |||
Anatoly Petukhov | 82 | C | 100.00 | 76 | 36 | 95 | 68 | 81 | 72 | 55 | 64 | 92 | 35 | 78 | 61 | 70 | 69 | 48 | 55 | 50 | 66 | 25 | 700,000$/1yrs | |||
Markos Kuuva (R) | 61 | RW | 100.00 | 35 | 65 | 86 | 72 | 41 | 78 | 85 | 58 | 94 | 70 | 65 | 33 | 81 | 50 | 37 | 58 | 50 | 64 | 25 | 700,000$/1yrs | |||
Trafim Zuew (R) | 81 | LW | 100.00 | 87 | 44 | 91 | 60 | 50 | 71 | 47 | 56 | 83 | 88 | 57 | 23 | 82 | 80 | 60 | 59 | 50 | 63 | 24 | 700,000$/1yrs | |||
Caelan Ranford (R) | 2 | D | 87.50 | 74 | 42 | 90 | 70 | 93 | 99 | 59 | 66 | 25 | 67 | 73 | 87 | 57 | 73 | 56 | 80 | 50 | 77 | 21 | 900,000$/1yrs | |||
Frederick Weston (R) | 74 | D | 100.00 | 65 | 39 | 64 | 56 | 64 | 85 | 55 | 87 | 25 | 72 | 48 | 88 | 93 | 35 | 40 | 63 | 50 | 68 | 25 | 1,999,999$/1yrs | |||
Filip Gereyev (R) | 41 | D | 100.00 | 87 | 34 | 59 | 78 | 74 | 59 | 54 | 61 | 25 | 74 | 50 | 71 | 58 | 54 | 51 | 78 | 50 | 67 | 22 | 850,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michal Diro | 31 | 99.00 | 83 | 72 | 91 | 68 | 69 | 85 | 73 | 69 | 81 | 69 | 72 | 82 | 86 | 52 | 50 | 76 | 19 | 900,000$/2yrs |
Fisk Walwyn | 30 | 100.00 | 83 | 75 | 96 | 87 | 75 | 56 | 62 | 62 | 65 | 90 | 47 | 31 | 62 | 70 | 50 | 75 | 21 | 800,000$/1yrs |
| Scratches | ||||||||||||||||||||
Vitaly Lisutin | 29 | 100.00 | 58 | 80 | 83 | 91 | 65 | 58 | 85 | 60 | 98 | 57 | 70 | 33 | 29 | 78 | 50 | 74 | 21 | 800,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Jim Hendricks | 57 | 95 | 94 | 65 | 97 | 56 | 55 | USA | 53 | 3 | 400,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Kelly Flewelling |
|---|
| 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 | Anton Roy | Jacks (BLI) | D | 28 | 3 | 21 | 24 | -11 | 0 | 0 | 23 | 113 | 52 | 37 | 2.65% | 24 | 23.39 | 0.00 | 2 | 7 | 9 | 0 | 0 | 0 | 33 | 0 | 1 | 0.00% | 0 | 0 | 0.86 | 0 | 0 | 0.84 | ||
| 2 | Teuvo Kuuri | Jacks (BLI) | RW | 28 | 7 | 9 | 16 | -1 | 8 | 0 | 48 | 81 | 22 | 40 | 8.64% | 7 | 12.02 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 46.67% | 0 | 0 | 0.57 | 0 | 0 | 0.64 | ||
| 3 | Jan Marek | Jacks (BLI) | RW | 28 | 5 | 10 | 15 | -9 | 38 | 20 | 24 | 63 | 19 | 39 | 7.94% | 7 | 13.43 | 0.00 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 68.18% | 0 | 0 | 0.54 | 0 | 1 | 0.25 | ||
| 4 | Edo Rozman | Jacks (BLI) | LW | 23 | 7 | 8 | 15 | -3 | 54 | 30 | 49 | 55 | 18 | 38 | 12.73% | 13 | 17.00 | 0.00 | 1 | 3 | 4 | 0 | 0 | 0 | 21 | 0 | 1 | 35.29% | 0 | 1 | 0.65 | 0 | 1 | 0.28 | ||
| 5 | Judd Nesbitt | Jacks (BLI) | RW | 28 | 6 | 7 | 13 | -8 | 21 | 5 | 11 | 97 | 24 | 51 | 6.19% | 2 | 15.65 | 0.00 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 59.38% | 0 | 0 | 0.46 | 1 | 1 | 0.42 | ||
| 6 | Ihor Nikitenko | Jacks (BLI) | C | 11 | 3 | 8 | 11 | 2 | 5 | 5 | 12 | 18 | 12 | 17 | 16.67% | 5 | 18.95 | 0.00 | 1 | 4 | 5 | 0 | 0 | 0 | 19 | 0 | 0 | 61.93% | 0 | 0 | 1.00 | 1 | 3 | 0.90 | ||
| 7 | Mikkomatti Niinivirta | Jacks (BLI) | LW | 20 | 6 | 4 | 10 | -4 | 10 | 10 | 25 | 32 | 15 | 20 | 18.75% | 6 | 14.63 | 0.00 | 2 | 2 | 4 | 0 | 0 | 0 | 26 | 0 | 0 | 35.29% | 0 | 0 | 0.50 | 0 | 1 | 0.38 | ||
| 8 | Christer Kankkunen | Jacks (BLI) | LW | 28 | 3 | 6 | 9 | -6 | 44 | 30 | 29 | 29 | 18 | 30 | 10.34% | 8 | 14.00 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 26 | 1 | 0 | 30.00% | 0 | 0 | 0.32 | 1 | 1 | 0.00 | ||
| 9 | Leonid Veschagin | Jacks (BLI) | C | 28 | 3 | 5 | 8 | -6 | 37 | 25 | 44 | 42 | 11 | 14 | 7.14% | 5 | 14.12 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 37 | 1 | 0 | 56.80% | 0 | 0 | 0.29 | 1 | 4 | 0.07 | ||
| 10 | Vitezslav Poupa | Jacks (BLI) | C | 28 | 3 | 4 | 7 | -6 | 37 | 25 | 56 | 19 | 7 | 13 | 15.79% | 3 | 13.40 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 1 | 0 | 41.09% | 0 | 0 | 0.25 | 0 | 1 | -0.07 | ||
| 11 | Tsimafey Stadolnik | Jacks (BLI) | LW | 28 | 4 | 3 | 7 | -5 | 22 | 10 | 28 | 47 | 18 | 29 | 8.51% | 10 | 15.95 | 0.00 | 2 | 0 | 2 | 0 | 0 | 0 | 17 | 1 | 1 | 34.62% | 0 | 0 | 0.25 | 1 | 1 | 0.15 | ||
| 12 | Jami-Petri Saukko | Jacks (BLI) | RW | 16 | 3 | 3 | 6 | -2 | 17 | 5 | 17 | 34 | 13 | 29 | 8.82% | 7 | 14.04 | 0.00 | 2 | 0 | 2 | 0 | 0 | 0 | 11 | 1 | 0 | 62.50% | 0 | 0 | 0.38 | 1 | 1 | 0.28 | ||
| 13 | Caelan Ranford | Jacks (BLI) | D | 13 | 1 | 5 | 6 | 3 | 5 | 5 | 9 | 22 | 13 | 5 | 4.55% | 19 | 20.84 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0.46 | 0 | 0 | 0.54 | ||
| 14 | Vytal Lancien | Jacks (BLI) | D | 28 | 0 | 5 | 5 | -1 | 26 | 10 | 51 | 22 | 5 | 18 | 0.00% | 42 | 18.51 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.10 | ||
| 15 | Teodor Marcinkievic | Jacks (BLI) | D | 28 | 1 | 3 | 4 | -8 | 13 | 5 | 37 | 18 | 12 | 9 | 5.56% | 40 | 20.36 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.04 | ||
| 16 | Anders Calland | Jacks (BLI) | D | 25 | 0 | 4 | 4 | -8 | 102 | 80 | 46 | 31 | 11 | 17 | 0.00% | 30 | 19.93 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | -0.54 | ||
| 17 | Pasi Korvo | Jacks (BLI) | D | 14 | 0 | 3 | 3 | 1 | 57 | 35 | 29 | 27 | 15 | 21 | 0.00% | 10 | 18.86 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | -0.28 | ||
| 18 | Trafim Zuew | Jacks (BLI) | LW | 5 | 0 | 1 | 1 | -3 | 0 | 0 | 8 | 3 | 0 | 4 | 0.00% | 1 | 11.75 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 25.00% | 0 | 0 | 0.20 | 0 | 0 | 0.02 | ||
| 19 | Nels Forget | Jacks (BLI) | C | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 1 | 1 | 1 | 0.00% | 0 | 14.64 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.55% | 0 | 0 | 0.00 | 0 | 1 | -0.09 | ||
| 20 | Markos Kuuva | Jacks (BLI) | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0.00% | 1 | 13.58 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.30 | ||
| 21 | Frederick Weston | Jacks (BLI) | D | 4 | 0 | 0 | 0 | -2 | 2 | 0 | 3 | 1 | 2 | 2 | 0.00% | 3 | 17.23 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.19 | ||
| 22 | Aleksandr Poiseyev | Jacks (BLI) | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | ||
| 23 | Filip Gereyev | Jacks (BLI) | D | 7 | 0 | 0 | 0 | -5 | 0 | 0 | 16 | 4 | 2 | 2 | 0.00% | 10 | 18.62 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.10 | ||
| 24 | Jetro Nahls | Jacks (BLI) | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2.22 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | ||
| Team Total or Average | 424 | 55 | 109 | 164 | -83 | 498 | 300 | 568 | 762 | 290 | 437 | 7.22% | 253 | 16.41 | 15 | 27 | 42 | 394 | 0 | 0 | 0 | 401 | 7 | 4 | 51.37% | 987 | 189 | 152 | 0 | 1 | 0.47 | 6 | 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 | Michal Diro | Jacks (BLI) | 14 | 5 | 5 | 2 | 0.897 | 3.16 | 740 | 0 | 0 | 39 | 378 | 181 | 0 | 1 | 0.647 | 17 | 12 | 16 | 1 | 0 | 2 |
| 2 | Vitaly Lisutin | Jacks (BLI) | 14 | 5 | 8 | 0 | 0.898 | 3.65 | 789 | 0 | 1 | 48 | 472 | 279 | 0 | 0 | 0.500 | 2 | 13 | 10 | 3 | 0 | 0 |
| 3 | Fisk Walwyn | Jacks (BLI) | 3 | 1 | 2 | 0 | 0.878 | 3.98 | 166 | 0 | 0 | 11 | 90 | 51 | 0 | 0 | 0.000 | 0 | 3 | 2 | 0 | 0 | 0 |
| Team Total or Average | 31 | 11 | 15 | 2 | 0.896 | 3.47 | 1696 | 0 | 1 | 98 | 940 | 511 | 0 | 1 | 0.632 | 19 | 28 | 28 | 4 | 0 | 2 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksandr Poiseyev | LW | 24 | 700,000$ | 700,000$ | |||||||
Anatoly Petukhov ![]() | C | 25 | 700,000$ | 700,000$ | |||||||
Anders Calland | D | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Anton Roy ![]() | D | 26 | 1,500,000$ | 1,500,000$ | |||||||
Caelan Ranford ![]() | D | 21 | 900,000$ | 900,000$ | |||||||
Christer Kankkunen | LW | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Edo Rozman | LW | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Filip Gereyev | D | 22 | 850,000$ | 850,000$ | 850,000$ | ||||||
Fisk Walwyn | G | 21 | 800,000$ | 800,000$ | |||||||
Frederick Weston ![]() | D | 25 | 1,999,999$ | 1,999,999$ | |||||||
Ihor Nikitenko ![]() | C | 33 | 1,800,245$ | 1,800,245$ | |||||||
Jami-Petri Saukko | RW | 21 | 800,000$ | 800,000$ | |||||||
Jan Marek | RW | 19 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Jetro Nahls | D | 21 | 700,000$ | 700,000$ | 700,000$ | ||||||
Judd Nesbitt | RW | 21 | 900,000$ | 900,000$ | 900,000$ | ||||||
Leonid Veschagin ![]() | C | 32 | 1,500,000$ | 1,500,000$ | |||||||
Markos Kuuva ![]() | RW | 25 | 700,000$ | 700,000$ | |||||||
Mich Soquila ![]() | RW | 25 | 750,000$ | 750,000$ | |||||||
Michal Diro | G | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Mikkomatti Niinivirta | LW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Nels Forget ![]() | C | 28 | 900,000$ | 900,000$ | |||||||
Pasi Korvo | D | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Teodor Marcinkievic | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Teuvo Kuuri ![]() | RW | 25 | 1,999,999$ | 1,999,999$ | |||||||
Trafim Zuew | LW | 24 | 700,000$ | 700,000$ | |||||||
Tsimafey Stadolnik | LW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Vitaly Lisutin | G | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Vitezslav Poupa | C | 20 | 900,000$ | 900,000$ | 900,000$ | ||||||
Vytal Lancien | D | 21 | 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 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 13 | -3 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 20 | 29 | 25 | 9 | 97 | 271 | 308 | 348 | 26 | 110 | 47 | 39 | 53 | 10 | 1 | 10.00% | 12 | 3 | 75.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 47.4% | 10.3% | 88.2% | 98.5 | FUN |
| 2 | Rampage | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 20 | 29 | 25 | 9 | 26 | 271 | 308 | 348 | 26 | 38 | 4 | 23 | 25 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 75.0% | 11.5% | 94.7% | 106.3 | LUCKY |
| 3 | Kings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 20 | 29 | 25 | 9 | 77 | 271 | 308 | 348 | 26 | 52 | 17 | 65 | 48 | 4 | 1 | 25.00% | 5 | 2 | 60.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 66.7% | 3.9% | 94.2% | 98.1 | DULL |
| 4 | Wolverines | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 8 | 15 | 0 | 0 | 20 | 29 | 25 | 9 | 69 | 271 | 308 | 348 | 26 | 77 | 20 | 39 | 55 | 5 | 2 | 40.00% | 7 | 2 | 71.43% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 62.5% | 10.1% | 93.5% | 103.7 | LUCKY |
| 5 | Bulldogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 5 | 9 | 1 | 0 | 20 | 29 | 25 | 9 | 35 | 271 | 308 | 348 | 26 | 33 | 13 | 31 | 26 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 44.4% | 11.4% | 81.8% | 93.2 | FUN |
| 6 | Auroras | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 20 | 29 | 25 | 9 | 61 | 271 | 308 | 348 | 26 | 60 | 22 | 50 | 55 | 3 | 1 | 33.33% | 10 | 4 | 60.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 60.0% | 6.6% | 90.0% | 96.6 | Unlucky |
| 7 | Jazz | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 20 | 29 | 25 | 9 | 35 | 271 | 308 | 348 | 26 | 37 | 6 | 14 | 23 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 62.5% | 14.3% | 89.2% | 103.5 | FUN |
| 8 | Hornets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 29 | 25 | 9 | 41 | 271 | 308 | 348 | 26 | 45 | 14 | 4 | 25 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 20.0% | 4.9% | 91.1% | 96.0 | Unlucky |
| 9 | Wolfpack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 20 | 29 | 25 | 9 | 37 | 271 | 308 | 348 | 26 | 39 | 13 | 17 | 21 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 42.9% | 8.1% | 89.7% | 97.9 | Unlucky |
| 10 | Vipers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 20 | 29 | 25 | 9 | 34 | 271 | 308 | 348 | 26 | 32 | 10 | 27 | 25 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 22.2% | 5.9% | 78.1% | 84.0 | Unlucky |
| 11 | Guppies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 29 | 25 | 9 | 60 | 271 | 308 | 348 | 26 | 68 | 19 | 26 | 43 | 8 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 28.6% | 3.3% | 91.2% | 94.5 | DULL |
| 12 | Stingers | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 5 | 9 | 0 | 0 | 20 | 29 | 25 | 9 | 26 | 271 | 308 | 348 | 26 | 34 | 14 | 44 | 29 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 33.3% | 15.4% | 85.3% | 100.7 | FUN |
| 13 | Spartans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 20 | 29 | 25 | 9 | 34 | 271 | 308 | 348 | 26 | 42 | 12 | 25 | 26 | 0 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 42.9% | 8.8% | 85.7% | 94.5 | Unlucky |
| 14 | Northmen | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 20 | 29 | 25 | 9 | 29 | 271 | 308 | 348 | 26 | 36 | 10 | 20 | 33 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 50.0% | 6.9% | 97.2% | 104.1 | DULL |
| 15 | Yeti | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 20 | 29 | 25 | 9 | 106 | 271 | 308 | 348 | 26 | 89 | 27 | 107 | 55 | 3 | 1 | 33.33% | 11 | 4 | 63.64% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 41.2% | 7.5% | 84.3% | 91.8 | Unlucky |
| 16 | Wild Wings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 20 | 29 | 25 | 9 | 35 | 271 | 308 | 348 | 26 | 22 | 13 | 23 | 28 | 5 | 4 | 80.00% | 4 | 1 | 75.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 50.0% | 14.3% | 90.9% | 105.2 | FUN |
| 17 | Drillers | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 6 | 12 | 18 | 0 | 0 | 20 | 29 | 25 | 9 | 105 | 271 | 308 | 348 | 26 | 93 | 36 | 25 | 62 | 13 | 3 | 23.08% | 5 | 0 | 100.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 23.1% | 5.7% | 89.2% | 95.0 | Unlucky |
| 18 | Swamp Puppies | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 20 | 29 | 25 | 9 | 25 | 271 | 308 | 348 | 26 | 34 | 6 | 32 | 32 | 4 | 2 | 50.00% | 1 | 1 | 0.00% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 50.0% | 16.0% | 91.2% | 107.2 | LUCKY |
| _Vs Division | 5 | 2 | 5 | 0 | 1 | 0 | 1 | 1 | 9 | 16 | -7 | 9 | 0.900 | 9 | 17 | 26 | 0 | 1 | 20 | 29 | 25 | 9 | 172 | 271 | 308 | 348 | 26 | 144 | 49 | 142 | 128 | 8 | 2 | 25.00% | 16 | 6 | 62.50% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 41.2% | 5.2% | 88.9% | 94.1 | Unlucky | |
| _Vs Conference | 20 | 4 | 13 | 0 | 1 | 0 | 1 | 1 | 47 | 72 | -25 | 13 | 0.325 | 47 | 81 | 128 | 0 | 1 | 20 | 29 | 25 | 9 | 687 | 271 | 308 | 348 | 26 | 665 | 225 | 399 | 442 | 51 | 10 | 19.61% | 57 | 16 | 71.93% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 39.8% | 6.8% | 89.2% | 96.0 | Unlucky | |
| _Since Last GM Reset | 28 | 8 | 15 | 0 | 1 | 0 | 2 | 2 | 77 | 101 | -24 | 24 | 0.429 | 77 | 129 | 206 | 1 | 1 | 20 | 29 | 25 | 9 | 932 | 271 | 308 | 348 | 26 | 941 | 303 | 611 | 664 | 68 | 19 | 27.94% | 83 | 24 | 71.08% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 43.0% | 8.3% | 89.3% | 97.5 | Unlucky | |
| Total | 28 | 8 | 15 | 0 | 1 | 0 | 2 | 2 | 77 | 101 | -24 | 24 | 0.429 | 77 | 129 | 206 | 1 | 1 | 20 | 29 | 25 | 9 | 932 | 271 | 308 | 348 | 26 | 941 | 303 | 611 | 664 | 68 | 19 | 27.94% | 83 | 24 | 71.08% | 0 | 357 | 677 | 52.73% | 326 | 600 | 54.33% | 249 | 452 | 55.09% | 622 | 373 | 596 | 243 | 482 | 238 | 43.0% | 8.3% | 89.3% | 97.5 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 17 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 677 |
| Neutral Zone Start | 452 |
| Defensive Zone Start | 600 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 932 |
| Faceoffs Lost | 797 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.7 | 9.57 |
| 2nd Period | 20.7 | 20.31 |
| 3rd Period | 33.1 | 30.68 |
| Overtime | 34.0 | 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 | 2.6 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 57 |
|---|---|
| PP Goal | 19 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 6 | 5 |
| Lost | 6 | 9 |
| Overtime Lost | 0 | 2 |
| PP Attempt | 68 |
|---|---|
| PP Goal | 19 |
| PK Attempt | 83 |
| PK Goal Against | 24 |
| Home | |
|---|---|
| Shots For | 33.3 |
| Shots Against | 33.6 |
| Goals For | 2.8 |
| Goals Against | 3.6 |
| Hits | 23.7 |
| Shots Blocked | 10.8 |
| Pim | 21.8 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,830,024$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Yukon | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 34334 | 22983 | |||
| Attendance PCT | 95.37% | 95.76% | 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 |
| 28 | 4776 - 95.53% | 167,530$ | 2,010,365$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,830,024$ | 2,830,024$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,091,305$ | 2,830,024$ | 957,976$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 4,690,852$ | 98 | 21,973$ | 2,153,354$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,153,354$ | 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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Crister Karlsen is out for 4 days because of a Right Hand Injury.
Caelan Ranford is out for 1 week because of a Sprained Left Ankle Injury.
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