| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 30 | 23 | 6 | 1 | 47 |
| GM: Alexander Phillips | League Rank:2nd | Arena: Berkeley Arena |
| Conference: Western Conference | Conference Rank:1st | Capacity:5,000 |
| Division: Central | Division Rank:1st | Total Player Salaries:3,099,925$ |
| Captain: Dru Pearkes | Last 10: 7-3-0![]() |
|
| Coach: Julian Weiss | Home: 11-2-1 | |
| All-Time Record: 180 W - 174 L - 46 OTL | Away: 7-4-0 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tani Pahkamaa | 95 | RW | 97.00 | 65 | 49 | 73 | 76 | 97 | 70 | 80 | 78 | 82 | 46 | 93 | 88 | 70 | 40 | 35 | 77 | 50 | 76 | 22 | 900,000$/1yrs | |||
Oystein Gravdahl (R) | 0 | C | 100.00 | 72 | 65 | 62 | 76 | 81 | 92 | 73 | 80 | 84 | 62 | 86 | 68 | 68 | 77 | 72 | 83 | 50 | 76 | 18 | 1,000,000$/3yrs | |||
Wesley Groulx | 0 | C | 100.00 | 62 | 61 | 70 | 63 | 79 | 92 | 90 | 90 | 98 | 50 | 89 | 56 | 42 | 55 | 96 | 24 | 50 | 75 | 31 | 1,000,000$/2yrs | |||
Olaf Norlander (R) | 0 | LW | 100.00 | 77 | 72 | 65 | 82 | 75 | 80 | 77 | 79 | 66 | 58 | 98 | 64 | 82 | 68 | 77 | 82 | 50 | 75 | 19 | 1,000,000$/3yrs | |||
Igor Karsenev | 56 | LW | 100.00 | 52 | 55 | 74 | 82 | 69 | 90 | 89 | 89 | 67 | 54 | 44 | 99 | 63 | 97 | 84 | 4 | 50 | 74 | 35 | 1,330,366$/2yrs | |||
Takeji Takata (R) | 93 | RW | 100.00 | 69 | 34 | 73 | 64 | 60 | 93 | 80 | 92 | 77 | 67 | 62 | 84 | 87 | 30 | 27 | 67 | 50 | 74 | 22 | 1,350,000$/5yrs | |||
Yann Hammond (R) | 62 | LW | 100.00 | 24 | 62 | 82 | 70 | 82 | 99 | 92 | 86 | 58 | 54 | 65 | 78 | 35 | 30 | 68 | 67 | 50 | 74 | 22 | 1,000,000$/2yrs | |||
Ruuno Jortikka (R) | 0 | RW | 100.00 | 76 | 63 | 75 | 68 | 81 | 87 | 80 | 74 | 60 | 59 | 76 | 78 | 66 | 65 | 70 | 67 | 50 | 74 | 19 | 800,000$/3yrs | |||
Ruslan Sarvarov (A) | 80 | C | 100.00 | 44 | 42 | 84 | 94 | 75 | 79 | 50 | 92 | 95 | 58 | 43 | 99 | 80 | 41 | 44 | 0 | 50 | 73 | 36 | 1,300,000$/2yrs | |||
Maksim Voronin | 56 | RW | 100.00 | 41 | 37 | 80 | 93 | 76 | 97 | 68 | 69 | 72 | 43 | 76 | 94 | 42 | 76 | 49 | 36 | 50 | 73 | 29 | 1,999,750$/1yrs | |||
Ignaty Syromolotov (R) | 90 | LW | 100.00 | 33 | 50 | 73 | 72 | 81 | 70 | 94 | 78 | 83 | 50 | 72 | 82 | 95 | 30 | 56 | 62 | 50 | 72 | 22 | 900,000$/2yrs | |||
Shiro Kaima (R) | 96 | C | 99.00 | 70 | 59 | 86 | 63 | 66 | 81 | 99 | 63 | 91 | 43 | 65 | 96 | 35 | 26 | 81 | 70 | 50 | 72 | 22 | 800,000$/2yrs | |||
Igor Zheldakov | 16 | D | 99.00 | 71 | 62 | 60 | 97 | 82 | 92 | 88 | 85 | 25 | 78 | 53 | 77 | 51 | 78 | 80 | 64 | 50 | 79 | 23 | 1,700,000$/2yrs | |||
Leonid Pafov (R) | 20 | D | 99.00 | 55 | 40 | 68 | 74 | 99 | 99 | 81 | 85 | 25 | 43 | 78 | 78 | 58 | 43 | 32 | 58 | 50 | 75 | 23 | 1,900,000$/5yrs | |||
Christofer Widell (R) | 0 | D | 100.00 | 75 | 54 | 69 | 63 | 72 | 92 | 83 | 64 | 59 | 78 | 81 | 74 | 63 | 64 | 65 | 76 | 50 | 75 | 20 | 800,000$/3yrs | |||
Zane Haddix (A) | 22 | D | 100.00 | 54 | 38 | 63 | 74 | 84 | 99 | 60 | 70 | 25 | 85 | 43 | 90 | 74 | 97 | 76 | 30 | 50 | 74 | 29 | 1,362,160$/1yrs | |||
Johnny Leclair | 2 | D | 100.00 | 99 | 37 | 65 | 54 | 62 | 63 | 89 | 93 | 25 | 88 | 53 | 77 | 76 | 74 | 82 | 33 | 50 | 73 | 28 | 1,350,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Dru Pearkes (C) | 52 | C | 47.75 | 83 | 45 | 60 | 95 | 78 | 76 | 63 | 80 | 78 | 73 | 94 | 70 | 50 | 43 | 98 | 34 | 50 | 78 | 30 | 1,600,000$/1yrs | |||
Kevin Elson | 83 | RW | 100.00 | 55 | 42 | 96 | 71 | 89 | 99 | 91 | 83 | 69 | 59 | 82 | 35 | 73 | 40 | 35 | 35 | 50 | 75 | 29 | 1,750,000$/1yrs | |||
Ivan Mlachnev | 42 | RW | 100.00 | 86 | 35 | 91 | 96 | 50 | 90 | 65 | 86 | 71 | 97 | 46 | 44 | 50 | 34 | 86 | 14 | 50 | 75 | 33 | 900,000$/3yrs | |||
Vosip Puntus | 73 | LW | 100.00 | 75 | 38 | 62 | 82 | 76 | 95 | 76 | 67 | 67 | 60 | 87 | 60 | 96 | 69 | 44 | 6 | 50 | 74 | 34 | 1,000,000$/1yrs | |||
Waylon Mcindeor (R) | 0 | RW | 100.00 | 66 | 57 | 73 | 69 | 83 | 94 | 79 | 86 | 49 | 70 | 62 | 57 | 62 | 32 | 60 | 64 | 50 | 73 | 24 | 1,088,216$/1yrs | |||
Jaki Krabbe | 59 | RW | 100.00 | 79 | 45 | 66 | 78 | 93 | 62 | 74 | 60 | 82 | 50 | 85 | 35 | 77 | 44 | 75 | 48 | 50 | 68 | 26 | 818,750$/4yrs | |||
Butch Fitzstephens | 89 | LW | 100.00 | 35 | 45 | 87 | 60 | 46 | 81 | 66 | 70 | 97 | 36 | 70 | 91 | 70 | 73 | 67 | 13 | 50 | 65 | 32 | 700,000$/1yrs | |||
Ole Hansen (R) | 44 | D | 68.04 | 69 | 48 | 91 | 70 | 86 | 79 | 86 | 68 | 72 | 68 | 60 | 89 | 89 | 64 | 80 | 75 | 50 | 77 | 19 | 900,000$/2yrs | |||
Alek Isotalus | 40 | D | 100.00 | 58 | 57 | 92 | 89 | 71 | 59 | 85 | 68 | 25 | 55 | 67 | 81 | 99 | 57 | 96 | 29 | 50 | 72 | 30 | 700,000$/5yrs | |||
Erling Olsson | 48 | D | 100.00 | 40 | 39 | 58 | 90 | 57 | 86 | 51 | 63 | 25 | 89 | 45 | 99 | 52 | 59 | 49 | 50 | 50 | 69 | 26 | 700,000$/1yrs | |||
Sven Thunberg (R) | 0 | D | 100.00 | 68 | 36 | 62 | 97 | 68 | 75 | 70 | 84 | 25 | 45 | 70 | 73 | 59 | 63 | 46 | 68 | 50 | 69 | 21 | 800,000$/3yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Atley Hebert | 32 | 98.00 | 84 | 67 | 74 | 67 | 65 | 54 | 78 | 85 | 69 | 83 | 61 | 93 | 49 | 46 | 50 | 73 | 27 | 1,250,000$/3yrs |
Karel Sivak | 0 | 100.00 | 76 | 63 | 62 | 76 | 67 | 69 | 81 | 81 | 86 | 65 | 60 | 77 | 45 | 71 | 50 | 73 | 21 | 800,000$/3yrs |
| Scratches | ||||||||||||||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Julian Weiss | 95 | 31 | 96 | 93 | 41 | 97 | 55 | USA | 48 | 3 | 1,250,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Alexander Phillips |
|---|
| 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 | Olaf Norlander | Phantoms (VOO) | LW | 30 | 15 | 18 | 33 | 18 | 87 | 55 | 61 | 128 | 33 | 75 | 11.72% | 13 | 15.28 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 44.83% | 0 | 0 | 1.10 | 0 | 1 | 0.92 | ||
| 2 | Takeji Takata | Phantoms (VOO) | RW | 30 | 11 | 19 | 30 | 17 | 25 | 5 | 46 | 112 | 36 | 55 | 9.82% | 9 | 17.06 | 0.00 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 44.00% | 0 | 0 | 1.00 | 1 | 2 | 1.11 | ||
| 3 | Ruslan Sarvarov | Phantoms (VOO) | C | 30 | 15 | 11 | 26 | 10 | 0 | 0 | 25 | 63 | 18 | 43 | 23.81% | 11 | 14.76 | 0.00 | 4 | 8 | 12 | 0 | 0 | 0 | 75 | 6 | 1 | 60.70% | 0 | 0 | 0.87 | 0 | 0 | 0.96 | ||
| 4 | Oystein Gravdahl | Phantoms (VOO) | C | 30 | 11 | 15 | 26 | 0 | 57 | 45 | 68 | 102 | 34 | 59 | 10.78% | 14 | 16.16 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 51.85% | 0 | 1 | 0.87 | 0 | 0 | 0.65 | ||
| 5 | Yann Hammond | Phantoms (VOO) | LW | 30 | 12 | 13 | 25 | 1 | 32 | 30 | 11 | 73 | 29 | 47 | 16.44% | 11 | 17.12 | 0.00 | 4 | 2 | 6 | 0 | 0 | 0 | 0 | 1 | 0 | 35.00% | 0 | 0 | 0.83 | 0 | 0 | 0.65 | ||
| 6 | Tani Pahkamaa | Phantoms (VOO) | RW | 30 | 8 | 15 | 23 | 3 | 30 | 20 | 52 | 73 | 28 | 33 | 10.96% | 14 | 17.88 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 53.13% | 0 | 0 | 0.77 | 0 | 0 | 0.65 | ||
| 7 | Shiro Kaima | Phantoms (VOO) | C | 28 | 8 | 13 | 21 | 12 | 20 | 20 | 45 | 29 | 10 | 17 | 27.59% | 16 | 19.56 | 0.00 | 2 | 4 | 6 | 1 | 0 | 1 | 69 | 1 | 1 | 49.65% | 0 | 0 | 0.75 | 0 | 0 | 0.65 | ||
| 8 | Igor Karsenev | Phantoms (VOO) | LW | 30 | 7 | 12 | 19 | 11 | 31 | 15 | 42 | 46 | 10 | 28 | 15.22% | 13 | 13.21 | 0.00 | 5 | 4 | 9 | 0 | 0 | 0 | 72 | 1 | 0 | 53.33% | 1 | 0 | 0.63 | 1 | 1 | 0.57 | ||
| 9 | Zane Haddix | Phantoms (VOO) | D | 30 | 1 | 16 | 17 | 19 | 34 | 10 | 37 | 32 | 14 | 12 | 3.13% | 44 | 22.39 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 70 | 0 | 1 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.55 | ||
| 10 | Dru Pearkes | Phantoms (VOO) | C | 26 | 6 | 9 | 15 | 6 | 8 | 0 | 47 | 93 | 23 | 56 | 6.45% | 10 | 11.70 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 47.24% | 0 | 0 | 0.58 | 0 | 0 | 0.80 | ||
| 11 | Leonid Pafov | Phantoms (VOO) | D | 30 | 1 | 14 | 15 | 18 | 53 | 15 | 49 | 47 | 12 | 29 | 2.13% | 46 | 23.51 | 0.00 | 1 | 2 | 3 | 0 | 1 | 1 | 70 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.46 | ||
| 12 | Igor Zheldakov | Phantoms (VOO) | D | 30 | 1 | 13 | 14 | -7 | 82 | 40 | 65 | 82 | 39 | 28 | 1.22% | 38 | 21.93 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0 | 0 | 0.00% | 0 | 0 | 0.47 | 0 | 0 | 0.09 | ||
| 13 | Maksim Voronin | Phantoms (VOO) | RW | 28 | 6 | 6 | 12 | 11 | 4 | 0 | 11 | 43 | 17 | 22 | 13.95% | 11 | 13.03 | 0.00 | 0 | 1 | 1 | 0 | 1 | 1 | 67 | 0 | 0 | 50.00% | 1 | 0 | 0.43 | 0 | 0 | 0.57 | ||
| 14 | Ignaty Syromolotov | Phantoms (VOO) | LW | 28 | 6 | 6 | 12 | 4 | 5 | 5 | 7 | 35 | 8 | 12 | 17.14% | 5 | 11.58 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 1 | 58.33% | 0 | 0 | 0.43 | 2 | 2 | 0.42 | ||
| 15 | Ruuno Jortikka | Phantoms (VOO) | RW | 30 | 6 | 4 | 10 | 0 | 36 | 20 | 39 | 38 | 15 | 33 | 15.79% | 12 | 12.14 | 0.00 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 4 | 0 | 63.64% | 0 | 0 | 0.33 | 0 | 0 | 0.19 | ||
| 16 | Johnny Leclair | Phantoms (VOO) | D | 30 | 0 | 7 | 7 | 15 | 12 | 0 | 40 | 11 | 9 | 7 | 0.00% | 15 | 14.21 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | 0.33 | ||
| 17 | Ole Hansen | Phantoms (VOO) | D | 30 | 2 | 4 | 6 | 2 | 27 | 25 | 19 | 34 | 11 | 19 | 5.88% | 52 | 22.66 | 0.00 | 2 | 1 | 3 | 0 | 0 | 0 | 76 | 1 | 0 | 0.00% | 0 | 0 | 0.20 | 2 | 2 | 0.17 | ||
| 18 | Kevin Elson | Phantoms (VOO) | RW | 2 | 2 | 1 | 3 | 4 | 0 | 0 | 0 | 5 | 1 | 0 | 40.00% | 0 | 18.83 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 0 | 0 | 1.50 | 0 | 0 | 1.89 | ||
| 19 | Christofer Widell | Phantoms (VOO) | D | 30 | 0 | 3 | 3 | 14 | 10 | 10 | 25 | 24 | 6 | 8 | 0.00% | 18 | 13.60 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | 0.27 | ||
| 20 | Vosip Puntus | Phantoms (VOO) | LW | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 0.96 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.59 | ||
| 21 | Ivan Mlachnev | Phantoms (VOO) | RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.08 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | ||
| 22 | Wesley Groulx | Phantoms (VOO) | C | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 8 | 1 | 2 | 0.00% | 2 | 12.65 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 61.11% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | ||
| Team Total or Average | 540 | 119 | 199 | 318 | 157 | 553 | 315 | 691 | 1079 | 354 | 585 | 11.03% | 354 | 16.46 | 22 | 31 | 53 | 363 | 1 | 2 | 3 | 608 | 20 | 7 | 51.69% | 1803 | 239 | 209 | 2 | 1 | 0.72 | 6 | 8 |
| 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 | Karel Sivak | Phantoms (VOO) | 19 | 13 | 3 | 1 | 0.920 | 2.51 | 1054 | 0 | 0 | 44 | 549 | 285 | 1 | 0 | 1.000 | 2 | 16 | 14 | 2 | 0 | 3 |
| 2 | Atley Hebert | Phantoms (VOO) | 14 | 10 | 3 | 0 | 0.894 | 3.24 | 760 | 0 | 0 | 41 | 386 | 223 | 1 | 0 | 0.800 | 5 | 14 | 16 | 1 | 2 | 0 |
| Team Total or Average | 33 | 23 | 6 | 1 | 0.909 | 2.81 | 1815 | 0 | 0 | 85 | 935 | 508 | 2 | 0 | 0.857 | 7 | 30 | 30 | 3 | 2 | 3 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alek Isotalus ![]() | D | 30 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||
Atley Hebert ![]() | G | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | |||||
Butch Fitzstephens ![]() | LW | 32 | 700,000$ | 700,000$ | |||||||
Christofer Widell | D | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Dru Pearkes ![]() | C | 30 | 1,600,000$ | 1,600,000$ | |||||||
Erling Olsson ![]() | D | 26 | 700,000$ | 700,000$ | |||||||
Ignaty Syromolotov | LW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Igor Karsenev ![]() | LW | 35 | 1,330,366$ | 1,330,366$ | 1,330,366$ | ||||||
Igor Zheldakov | D | 23 | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||||
Ivan Mlachnev ![]() | RW | 33 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Jaki Krabbe ![]() | RW | 26 | 818,750$ | 818,750$ | 818,750$ | 818,750$ | 818,750$ | ||||
Johnny Leclair ![]() | D | 28 | 1,350,000$ | 1,350,000$ | 1,350,000$ | ||||||
Karel Sivak | G | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Kevin Elson ![]() | RW | 29 | 1,750,000$ | 1,750,000$ | |||||||
Leonid Pafov | D | 23 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | |||
Maksim Voronin ![]() | RW | 29 | 1,999,750$ | 1,999,750$ | |||||||
Olaf Norlander | LW | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Ole Hansen ![]() | D | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Oystein Gravdahl | C | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Ruslan Sarvarov ![]() | C | 36 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Ruuno Jortikka | RW | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Shiro Kaima | C | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Sven Thunberg | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Takeji Takata | RW | 22 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | |||
Tani Pahkamaa | RW | 22 | 900,000$ | 900,000$ | |||||||
Vosip Puntus ![]() | LW | 34 | 1,000,000$ | 1,000,000$ | |||||||
Waylon Mcindeor | RW | 24 | 1,088,216$ | 1,088,216$ | |||||||
Wesley Groulx ![]() | C | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Yann Hammond | LW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Zane Haddix ![]() | D | 29 | 1,362,160$ | 1,362,160$ |
| 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 35 | 41 | 41 | 8 | 33 | 339 | 327 | 408 | 13 | 27 | 12 | 19 | 17 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 75.0% | 9.1% | 92.6% | 101.7 | LUCKY |
| 2 | Rampage | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 35 | 41 | 41 | 8 | 34 | 339 | 327 | 408 | 13 | 29 | 22 | 46 | 27 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 66.7% | 8.8% | 93.1% | 101.9 | DULL |
| 3 | Kings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 35 | 41 | 41 | 8 | 27 | 339 | 327 | 408 | 13 | 41 | 23 | 30 | 31 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 33.3% | 7.4% | 92.7% | 100.1 | DULL |
| 4 | Wolverines | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 35 | 41 | 41 | 8 | 77 | 339 | 327 | 408 | 13 | 66 | 30 | 50 | 56 | 4 | 2 | 50.00% | 5 | 2 | 60.00% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 55.6% | 9.1% | 90.9% | 100.0 | FUN |
| 5 | Crusaders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 35 | 41 | 41 | 8 | 43 | 339 | 327 | 408 | 13 | 34 | 17 | 21 | 13 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 80.0% | 9.3% | 94.1% | 103.4 | LUCKY |
| 6 | Bulldogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 35 | 41 | 41 | 8 | 40 | 339 | 327 | 408 | 13 | 21 | 14 | 26 | 25 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 75.0% | 10.0% | 95.2% | 105.2 | LUCKY |
| 7 | Auroras | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 35 | 41 | 41 | 8 | 31 | 339 | 327 | 408 | 13 | 31 | 14 | 7 | 26 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 42.9% | 9.7% | 87.1% | 96.8 | FUN |
| 8 | Hornets | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 18 | 29 | 0 | 0 | 35 | 41 | 41 | 8 | 95 | 339 | 327 | 408 | 13 | 77 | 25 | 28 | 59 | 5 | 2 | 40.00% | 9 | 2 | 77.78% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 52.9% | 11.6% | 87.0% | 98.6 | FUN |
| 9 | Wolfpack | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 35 | 41 | 41 | 8 | 67 | 339 | 327 | 408 | 13 | 68 | 21 | 51 | 53 | 4 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 69.2% | 13.4% | 91.2% | 104.6 | LUCKY |
| 10 | Vipers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 5 | 10 | 0 | 0 | 35 | 41 | 41 | 8 | 30 | 339 | 327 | 408 | 13 | 36 | 11 | 29 | 18 | 1 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 83.3% | 16.7% | 94.4% | 111.1 | LUCKY |
| 11 | Devils | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 7 | 7 | 6 | 1.000 | 14 | 26 | 40 | 0 | 0 | 35 | 41 | 41 | 8 | 116 | 339 | 327 | 408 | 13 | 110 | 36 | 49 | 67 | 6 | 3 | 50.00% | 7 | 1 | 85.71% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 64.7% | 12.1% | 93.6% | 105.7 | LUCKY |
| 12 | Guppies | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 7 | 6 | 6 | 1.000 | 13 | 23 | 36 | 0 | 0 | 35 | 41 | 41 | 8 | 103 | 339 | 327 | 408 | 13 | 77 | 22 | 47 | 77 | 9 | 4 | 44.44% | 11 | 2 | 81.82% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 64.3% | 12.6% | 90.9% | 103.5 | FUN |
| 13 | Stingers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 35 | 41 | 41 | 8 | 41 | 339 | 327 | 408 | 13 | 35 | 17 | 15 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 66.7% | 9.8% | 94.3% | 104.0 | LUCKY |
| 14 | Spartans | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 8 | 4 | 4 | 1.000 | 12 | 18 | 30 | 0 | 0 | 35 | 41 | 41 | 8 | 84 | 339 | 327 | 408 | 13 | 70 | 15 | 47 | 44 | 4 | 3 | 75.00% | 6 | 1 | 83.33% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 56.3% | 14.3% | 88.6% | 102.9 | FUN |
| 15 | Northmen | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 35 | 41 | 41 | 8 | 30 | 339 | 327 | 408 | 13 | 22 | 8 | 2 | 31 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 25.0% | 3.3% | 86.4% | 89.7 | Unlucky |
| 16 | Yeti | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 10 | 2 | 4 | 0.667 | 12 | 20 | 32 | 0 | 0 | 35 | 41 | 41 | 8 | 115 | 339 | 327 | 408 | 13 | 100 | 32 | 54 | 67 | 4 | 2 | 50.00% | 12 | 2 | 83.33% | 1 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 55.6% | 10.4% | 90.0% | 100.4 | FUN |
| 17 | Wild Wings | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 6 | 6 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 35 | 41 | 41 | 8 | 75 | 339 | 327 | 408 | 13 | 65 | 25 | 23 | 43 | 3 | 2 | 66.67% | 9 | 2 | 77.78% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 71.4% | 16.0% | 90.8% | 106.8 | FUN |
| 18 | Drillers | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 35 | 41 | 41 | 8 | 38 | 339 | 327 | 408 | 13 | 26 | 10 | 9 | 15 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 40.0% | 7.9% | 84.6% | 92.5 | Unlucky |
| _Vs Division | 6 | 7 | 1 | 0 | 1 | 0 | 0 | 0 | 24 | 17 | 7 | 16 | 1.333 | 24 | 41 | 65 | 0 | 0 | 35 | 41 | 41 | 8 | 198 | 339 | 327 | 408 | 13 | 154 | 47 | 75 | 136 | 14 | 6 | 42.86% | 20 | 4 | 80.00% | 0 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 58.1% | 12.1% | 89.0% | 101.1 | FUN | |
| _Vs Conference | 21 | 11 | 5 | 0 | 2 | 1 | 2 | 0 | 82 | 61 | 21 | 31 | 0.738 | 82 | 133 | 215 | 0 | 0 | 35 | 41 | 41 | 8 | 732 | 339 | 327 | 408 | 13 | 659 | 236 | 373 | 486 | 41 | 15 | 36.59% | 69 | 15 | 78.26% | 1 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 59.3% | 11.2% | 90.7% | 101.9 | FUN | |
| _Since Last GM Reset | 30 | 18 | 6 | 0 | 2 | 1 | 3 | 0 | 122 | 85 | 37 | 47 | 0.783 | 122 | 199 | 321 | 0 | 0 | 35 | 41 | 41 | 8 | 1079 | 339 | 327 | 408 | 13 | 935 | 354 | 553 | 691 | 53 | 22 | 41.51% | 94 | 20 | 78.72% | 1 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 60.6% | 11.3% | 90.9% | 102.2 | FUN | |
| Total | 30 | 18 | 6 | 0 | 2 | 1 | 3 | 0 | 122 | 85 | 37 | 47 | 0.783 | 122 | 199 | 321 | 0 | 0 | 35 | 41 | 41 | 8 | 1079 | 339 | 327 | 408 | 13 | 935 | 354 | 553 | 691 | 53 | 22 | 41.51% | 94 | 20 | 78.72% | 1 | 358 | 703 | 50.92% | 333 | 637 | 52.28% | 241 | 448 | 53.79% | 652 | 389 | 644 | 266 | 519 | 255 | 60.6% | 11.3% | 90.9% | 102.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 703 |
| Neutral Zone Start | 448 |
| Defensive Zone Start | 637 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 932 |
| Faceoffs Lost | 856 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.3 | 9.57 |
| 2nd Period | 22.2 | 20.31 |
| 3rd Period | 35.8 | 30.68 |
| Overtime | 36.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 2.5 | 1.65 |
| 3rd Period | 3.9 | 2.67 |
| Overtime | 4.2 | 2.83 |
| Even Strenght Goal | 99 |
|---|---|
| PP Goal | 22 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 13 | 10 |
| Lost | 2 | 4 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 53 |
|---|---|
| PP Goal | 22 |
| PK Attempt | 94 |
| PK Goal Against | 20 |
| Home | |
|---|---|
| Shots For | 36.0 |
| Shots Against | 31.2 |
| Goals For | 4.1 |
| Goals Against | 2.8 |
| Hits | 23.0 |
| Shots Blocked | 11.8 |
| Pim | 18.4 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,099,925$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Berkeley | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 44497 | 29364 | |||
| Attendance PCT | 92.70% | 91.76% | 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 |
| 24 | 4616 - 92.33% | 162,326$ | 2,597,210$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,099,925$ | 3,099,925$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,610,727$ | 3,099,925$ | 1,168,558$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 3,895,815$ | 95 | 29,591$ | 2,811,145$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,811,145$ | 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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Dru Pearkes is out for 2 months because of a Lower Body Injury.
Ole Hansen is out for 1 month because of a Lower Body Injury.
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