| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 73 | 43 | 20 | 10 | 96 |
| GM: Alexander Phillips | League Rank:5th | Arena: Berkeley Arena |
| Conference: Western Conference | Conference Rank:3rd | Capacity:5,000 |
| Division: Central | Division Rank:2nd | Total Player Salaries:3,089,925$ |
| Captain: Dru Pearkes | Last 10: 3-4-0 | |
| Coach: Julian Weiss | Home: 19-8-5 | |
| All-Time Record: 180 W - 174 L - 46 OTL | Away: 13-12-5 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kevin Elson | 83 | RW | 97.00 | 55 | 42 | 96 | 71 | 89 | 99 | 91 | 83 | 69 | 59 | 82 | 35 | 73 | 40 | 35 | 35 | 50 | 75 | 29 | 1,750,000$/3yrs | |||
Ivan Mlachnev | 42 | RW | 100.00 | 86 | 35 | 91 | 96 | 50 | 90 | 65 | 86 | 71 | 97 | 46 | 44 | 50 | 34 | 86 | 14 | 50 | 75 | 33 | 900,000$/3yrs | |||
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$/2yrs | |||
Olaf Norlander (R) | 0 | LW | 98.00 | 77 | 72 | 65 | 82 | 75 | 80 | 77 | 79 | 66 | 58 | 98 | 64 | 82 | 68 | 77 | 82 | 50 | 75 | 19 | 1,000,000$/3yrs | |||
Igor Karsenev | 56 | LW | 97.00 | 52 | 55 | 74 | 82 | 69 | 90 | 89 | 89 | 67 | 54 | 44 | 99 | 63 | 97 | 84 | 4 | 50 | 74 | 35 | 1,330,366$/2yrs | |||
Vosip Puntus | 73 | LW | 100.00 | 75 | 38 | 62 | 82 | 76 | 95 | 76 | 67 | 67 | 60 | 87 | 60 | 96 | 69 | 44 | 6 | 50 | 74 | 34 | 1,000,000$/1yrs | |||
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 | |||
Shiro Kaima (R) | 96 | C | 100.00 | 70 | 59 | 86 | 63 | 66 | 81 | 99 | 63 | 91 | 43 | 65 | 96 | 35 | 26 | 81 | 70 | 50 | 72 | 22 | 800,000$/2yrs | |||
Ole Hansen (R) | 44 | D | 98.00 | 69 | 48 | 91 | 70 | 86 | 79 | 86 | 68 | 72 | 68 | 60 | 89 | 89 | 64 | 80 | 75 | 50 | 77 | 19 | 900,000$/2yrs | |||
Leonid Pafov (R) | 20 | D | 100.00 | 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$/4yrs | |||
Johnny Leclair | 2 | D | 100.00 | 99 | 37 | 65 | 54 | 62 | 63 | 89 | 93 | 25 | 88 | 53 | 77 | 76 | 74 | 82 | 33 | 50 | 73 | 28 | 1,350,000$/2yrs | |||
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$/5yrs | |||
| Scratches | ||||||||||||||||||||||||||
Dru Pearkes (C) | 52 | C | 97.00 | 83 | 45 | 60 | 95 | 78 | 76 | 63 | 80 | 78 | 73 | 94 | 70 | 50 | 43 | 98 | 34 | 50 | 78 | 30 | 1,600,000$/4yrs | |||
Tani Pahkamaa | 95 | RW | 94.00 | 65 | 49 | 73 | 76 | 97 | 70 | 80 | 78 | 82 | 46 | 93 | 88 | 70 | 40 | 35 | 77 | 50 | 76 | 22 | 900,000$/5yrs | |||
Oystein Gravdahl (R) | 0 | C | 96.54 | 72 | 65 | 62 | 76 | 81 | 92 | 73 | 80 | 84 | 62 | 86 | 68 | 68 | 77 | 72 | 83 | 50 | 76 | 18 | 1,000,000$/3yrs | |||
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$/1yrs | |||
Waylon Mcindeor (R) | 0 | RW | 100.00 | 66 | 57 | 73 | 69 | 83 | 94 | 79 | 86 | 49 | 70 | 62 | 57 | 62 | 32 | 60 | 64 | 50 | 73 | 24 | 1,088,216$/1yrs | |||
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$/2yrs | |||
Jaki Krabbe | 59 | RW | 100.00 | 79 | 45 | 66 | 78 | 93 | 62 | 74 | 60 | 82 | 50 | 85 | 35 | 77 | 44 | 75 | 48 | 50 | 68 | 26 | 818,750$/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$/1yrs | |||
Erling Olsson | 48 | D | 100.00 | 40 | 39 | 58 | 90 | 57 | 86 | 51 | 63 | 25 | 89 | 45 | 99 | 52 | 59 | 49 | 50 | 50 | 69 | 26 | 700,000$/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$/3yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Atley Hebert | 32 | 100.00 | 84 | 67 | 74 | 67 | 65 | 54 | 78 | 85 | 69 | 83 | 61 | 93 | 49 | 46 | 50 | 73 | 27 | 1,250,000$/3yrs |
Karel Sivak | 0 | 97.00 | 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 | 73 | 34 | 38 | 72 | 23 | 154 | 110 | 162 | 291 | 76 | 167 | 11.68% | 32 | 16.88 | 0.00 | 1 | 2 | 3 | 0 | 2 | 2 | 28 | 3 | 2 | 55.95% | 0 | 1 | 0.99 | 0 | 1 | 0.86 | ||
| 2 | Oystein Gravdahl | Phantoms (VOO) | C | 69 | 27 | 35 | 62 | 1 | 176 | 130 | 161 | 243 | 62 | 122 | 11.11% | 29 | 17.44 | 0.00 | 6 | 6 | 12 | 1 | 0 | 1 | 33 | 2 | 1 | 51.82% | 0 | 1 | 0.90 | 1 | 1 | 0.56 | ||
| 3 | Ruslan Sarvarov | Phantoms (VOO) | C | 70 | 27 | 31 | 58 | 10 | 10 | 10 | 51 | 146 | 43 | 101 | 18.49% | 26 | 13.89 | 0.00 | 5 | 14 | 19 | 0 | 0 | 0 | 131 | 8 | 2 | 56.36% | 1 | 0 | 0.83 | 0 | 0 | 0.83 | ||
| 4 | Takeji Takata | Phantoms (VOO) | RW | 73 | 20 | 34 | 54 | 10 | 29 | 5 | 122 | 208 | 68 | 125 | 9.62% | 19 | 16.70 | 0.00 | 5 | 4 | 9 | 0 | 0 | 0 | 0 | 1 | 1 | 37.50% | 0 | 0 | 0.74 | 2 | 6 | 0.78 | ||
| 5 | Yann Hammond | Phantoms (VOO) | LW | 73 | 25 | 26 | 51 | -4 | 69 | 65 | 23 | 163 | 55 | 94 | 15.34% | 24 | 16.01 | 0.00 | 6 | 6 | 12 | 0 | 0 | 0 | 2 | 3 | 1 | 36.11% | 0 | 0 | 0.70 | 0 | 0 | 0.52 | ||
| 6 | Igor Karsenev | Phantoms (VOO) | LW | 73 | 25 | 22 | 47 | 8 | 33 | 15 | 113 | 131 | 39 | 70 | 19.08% | 26 | 14.92 | 0.00 | 12 | 6 | 18 | 0 | 0 | 0 | 151 | 3 | 0 | 55.81% | 1 | 0 | 0.64 | 2 | 6 | 0.62 | ||
| 7 | Tani Pahkamaa | Phantoms (VOO) | RW | 66 | 21 | 24 | 45 | 15 | 56 | 40 | 123 | 152 | 56 | 70 | 13.82% | 24 | 18.79 | 0.00 | 2 | 3 | 5 | 0 | 0 | 0 | 19 | 2 | 1 | 49.61% | 0 | 2 | 0.68 | 1 | 6 | 0.66 | ||
| 8 | Shiro Kaima | Phantoms (VOO) | C | 59 | 11 | 23 | 34 | 14 | 62 | 50 | 78 | 51 | 14 | 40 | 21.57% | 28 | 16.85 | 0.00 | 2 | 7 | 9 | 1 | 0 | 1 | 108 | 2 | 1 | 49.84% | 0 | 0 | 0.58 | 0 | 0 | 0.39 | ||
| 9 | Zane Haddix | Phantoms (VOO) | D | 73 | 1 | 32 | 33 | 6 | 66 | 10 | 108 | 69 | 35 | 24 | 1.45% | 103 | 23.09 | 0.00 | 0 | 5 | 5 | 0 | 0 | 0 | 149 | 0 | 1 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | 0.31 | ||
| 10 | Leonid Pafov | Phantoms (VOO) | D | 73 | 4 | 26 | 30 | 15 | 89 | 25 | 96 | 122 | 39 | 61 | 3.28% | 96 | 23.63 | 0.00 | 2 | 6 | 8 | 0 | 1 | 1 | 144 | 0 | 0 | 0.00% | 0 | 0 | 0.41 | 0 | 0 | 0.35 | ||
| 11 | Ruuno Jortikka | Phantoms (VOO) | RW | 73 | 18 | 9 | 27 | -1 | 57 | 35 | 97 | 107 | 31 | 73 | 16.82% | 24 | 11.97 | 0.00 | 5 | 5 | 10 | 0 | 0 | 0 | 0 | 5 | 0 | 55.88% | 0 | 0 | 0.37 | 0 | 0 | 0.29 | ||
| 12 | Dru Pearkes | Phantoms (VOO) | C | 35 | 11 | 15 | 26 | 13 | 16 | 0 | 71 | 119 | 33 | 80 | 9.24% | 12 | 14.55 | 0.00 | 0 | 1 | 1 | 1 | 0 | 1 | 18 | 2 | 2 | 49.49% | 0 | 0 | 0.74 | 1 | 2 | 0.93 | ||
| 13 | Maksim Voronin | Phantoms (VOO) | RW | 46 | 8 | 14 | 22 | 15 | 4 | 0 | 25 | 63 | 20 | 43 | 12.70% | 14 | 13.17 | 0.00 | 0 | 2 | 2 | 0 | 1 | 1 | 106 | 1 | 0 | 46.15% | 1 | 0 | 0.48 | 0 | 0 | 0.57 | ||
| 14 | Ignaty Syromolotov | Phantoms (VOO) | LW | 50 | 10 | 12 | 22 | 7 | 9 | 5 | 12 | 75 | 21 | 38 | 13.33% | 10 | 11.44 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 6 | 0 | 1 | 60.00% | 0 | 0 | 0.44 | 2 | 2 | 0.46 | ||
| 15 | Kevin Elson | Phantoms (VOO) | RW | 27 | 10 | 11 | 21 | 3 | 0 | 0 | 23 | 72 | 14 | 38 | 13.89% | 7 | 19.78 | 0.00 | 1 | 4 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 40.31% | 0 | 0 | 0.78 | 0 | 1 | 0.82 | ||
| 16 | Wesley Groulx | Phantoms (VOO) | C | 43 | 5 | 16 | 21 | -3 | 25 | 15 | 52 | 86 | 35 | 39 | 5.81% | 7 | 12.95 | 0.00 | 0 | 3 | 3 | 0 | 0 | 0 | 14 | 0 | 0 | 53.95% | 0 | 0 | 0.49 | 0 | 0 | 0.42 | ||
| 17 | Johnny Leclair | Phantoms (VOO) | D | 73 | 0 | 16 | 16 | 29 | 35 | 5 | 105 | 38 | 15 | 14 | 0.00% | 47 | 14.12 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.29 | ||
| 18 | Christofer Widell | Phantoms (VOO) | D | 73 | 0 | 16 | 16 | 16 | 49 | 35 | 94 | 64 | 20 | 24 | 0.00% | 68 | 17.22 | 0.00 | 0 | 0 | 0 | 0 | 1 | 1 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.23 | ||
| 19 | Ole Hansen | Phantoms (VOO) | D | 53 | 2 | 9 | 11 | 9 | 44 | 30 | 54 | 62 | 21 | 35 | 3.23% | 73 | 23.36 | 0.00 | 2 | 1 | 3 | 0 | 1 | 1 | 113 | 1 | 0 | 0.00% | 0 | 0 | 0.21 | 2 | 2 | 0.21 | ||
| 20 | Ivan Mlachnev | Phantoms (VOO) | RW | 23 | 4 | 4 | 8 | -2 | 0 | 0 | 19 | 32 | 8 | 11 | 12.50% | 5 | 10.03 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 41.51% | 0 | 0 | 0.35 | 0 | 1 | 0.35 | ||
| 21 | Erling Olsson | Phantoms (VOO) | D | 22 | 2 | 5 | 7 | 5 | 28 | 10 | 23 | 12 | 5 | 12 | 16.67% | 28 | 21.06 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 34 | 1 | 0 | 0.00% | 0 | 0 | 0.32 | 0 | 0 | 0.18 | ||
| 22 | Vosip Puntus | Phantoms (VOO) | LW | 23 | 4 | 1 | 5 | 3 | 2 | 0 | 8 | 21 | 10 | 7 | 19.05% | 1 | 4.15 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 100.00% | 0 | 0 | 0.22 | 0 | 0 | 0.28 | ||
| 23 | Alek Isotalus | Phantoms (VOO) | D | 18 | 0 | 2 | 2 | 3 | 0 | 0 | 1 | 7 | 4 | 1 | 0.00% | 7 | 8.88 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.16 | ||
| Team Total or Average | 1261 | 269 | 421 | 690 | 195 | 1013 | 595 | 1621 | 2334 | 724 | 1289 | 11.53% | 710 | 16.38 | 52 | 76 | 128 | 1078 | 3 | 6 | 9 | 1158 | 37 | 13 | 51.16% | 4275 | 524 | 509 | 3 | 4 | 0.67 | 11 | 28 |
| 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) | 46 | 25 | 11 | 6 | 0.907 | 2.91 | 2595 | 2 | 0 | 126 | 1354 | 715 | 2 | 1 | 0.643 | 14 | 42 | 31 | 3 | 0 | 5 |
| 2 | Atley Hebert | Phantoms (VOO) | 34 | 18 | 9 | 4 | 0.892 | 3.38 | 1849 | 2 | 0 | 104 | 967 | 571 | 2 | 0 | 0.857 | 14 | 31 | 42 | 2 | 4 | 1 |
| Team Total or Average | 80 | 43 | 20 | 10 | 0.901 | 3.11 | 4444 | 4 | 0 | 230 | 2321 | 1286 | 4 | 1 | 0.750 | 28 | 73 | 73 | 5 | 4 | 6 |
| 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$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||
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$ | ||||||
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$ | 1,582,058$ | 1,582,058$ | |||||
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$ | 1,827,090$ | 1,827,090$ | 1,827,090$ | 1,827,090$ | |||
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$ | 1,750,000$ | 1,750,000$ | 1,750,000$ |
| 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 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 11 | 12 | -1 | 3 | 0.500 | 11 | 18 | 29 | 0 | 0 | 77 | 90 | 99 | 16 | 117 | 767 | 807 | 872 | 64 | 110 | 37 | 39 | 68 | 4 | 2 | 50.00% | 7 | 5 | 28.57% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 56.3% | 9.4% | 89.1% | 98.5 | FUN |
| 2 | Jacks | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.333 | 9 | 13 | 22 | 0 | 0 | 77 | 90 | 99 | 16 | 84 | 767 | 807 | 872 | 64 | 94 | 33 | 25 | 66 | 6 | 2 | 33.33% | 5 | 2 | 60.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 43.8% | 10.7% | 88.3% | 99.0 | FUN |
| 3 | Rampage | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 77 | 90 | 99 | 16 | 72 | 767 | 807 | 872 | 64 | 63 | 25 | 63 | 50 | 2 | 2 | 100.00% | 4 | 1 | 75.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 62.5% | 9.7% | 93.7% | 103.4 | LUCKY |
| 4 | Kings | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 77 | 90 | 99 | 16 | 46 | 767 | 807 | 872 | 64 | 70 | 26 | 36 | 58 | 3 | 1 | 33.33% | 8 | 2 | 75.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 33.3% | 6.5% | 91.4% | 98.0 | DULL |
| 5 | Wolverines | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.500 | 9 | 13 | 22 | 0 | 0 | 77 | 90 | 99 | 16 | 117 | 767 | 807 | 872 | 64 | 92 | 37 | 54 | 78 | 6 | 2 | 33.33% | 7 | 2 | 71.43% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 50.0% | 7.7% | 90.2% | 97.9 | Unlucky |
| 6 | Comets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 77 | 90 | 99 | 16 | 75 | 767 | 807 | 872 | 64 | 52 | 21 | 18 | 41 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 75.0% | 8.0% | 96.2% | 104.2 | DULL |
| 7 | Crusaders | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 77 | 90 | 99 | 16 | 80 | 767 | 807 | 872 | 64 | 64 | 26 | 30 | 43 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 66.7% | 6.3% | 93.8% | 100.0 | DULL |
| 8 | Bulldogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 77 | 90 | 99 | 16 | 40 | 767 | 807 | 872 | 64 | 21 | 14 | 26 | 25 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 75.0% | 10.0% | 95.2% | 105.2 | LUCKY |
| 9 | Rock | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 77 | 90 | 99 | 16 | 65 | 767 | 807 | 872 | 64 | 54 | 19 | 49 | 54 | 4 | 2 | 50.00% | 7 | 2 | 71.43% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 77.8% | 13.8% | 92.6% | 106.4 | LUCKY |
| 10 | Auroras | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 2 | 0.333 | 9 | 14 | 23 | 0 | 0 | 77 | 90 | 99 | 16 | 105 | 767 | 807 | 872 | 64 | 102 | 39 | 54 | 73 | 8 | 3 | 37.50% | 7 | 2 | 71.43% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 37.5% | 8.6% | 88.2% | 96.8 | Unlucky |
| 11 | Jazz | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 10 | -2 | 1 | 0.250 | 8 | 14 | 22 | 0 | 0 | 77 | 90 | 99 | 16 | 61 | 767 | 807 | 872 | 64 | 41 | 9 | 10 | 56 | 1 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 53.3% | 13.1% | 75.6% | 88.7 | FUN |
| 12 | Hornets | 7 | 3 | 2 | 0 | 1 | 1 | 0 | 0 | 32 | 25 | 7 | 9 | 0.643 | 32 | 48 | 80 | 0 | 0 | 77 | 90 | 99 | 16 | 228 | 767 | 807 | 872 | 64 | 215 | 61 | 77 | 141 | 18 | 7 | 38.89% | 16 | 3 | 81.25% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 53.2% | 14.0% | 88.4% | 102.4 | FUN |
| 13 | Wolfpack | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 14 | -2 | 4 | 0.667 | 12 | 19 | 31 | 0 | 0 | 77 | 90 | 99 | 16 | 96 | 767 | 807 | 872 | 64 | 107 | 32 | 95 | 85 | 5 | 1 | 20.00% | 10 | 3 | 70.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 50.0% | 12.5% | 86.9% | 99.4 | FUN |
| 14 | Vipers | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 15 | 25 | 0 | 0 | 77 | 90 | 99 | 16 | 72 | 767 | 807 | 872 | 64 | 103 | 29 | 53 | 58 | 4 | 1 | 25.00% | 14 | 1 | 92.86% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 56.3% | 13.9% | 92.2% | 106.1 | LUCKY |
| 15 | Devils | 7 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 25 | 17 | 8 | 12 | 0.857 | 25 | 42 | 67 | 1 | 0 | 77 | 90 | 99 | 16 | 253 | 767 | 807 | 872 | 64 | 260 | 85 | 73 | 151 | 11 | 3 | 27.27% | 14 | 1 | 92.86% | 1 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 57.9% | 9.9% | 93.5% | 103.3 | LUCKY |
| 16 | Guppies | 8 | 5 | 1 | 0 | 1 | 0 | 0 | 1 | 34 | 23 | 11 | 13 | 0.813 | 34 | 56 | 90 | 0 | 0 | 77 | 90 | 99 | 16 | 254 | 767 | 807 | 872 | 64 | 230 | 75 | 146 | 191 | 26 | 9 | 34.62% | 23 | 7 | 69.57% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 61.0% | 13.4% | 90.0% | 103.4 | FUN |
| 17 | Stingers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 77 | 90 | 99 | 16 | 77 | 767 | 807 | 872 | 64 | 66 | 22 | 23 | 38 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 70.0% | 10.4% | 93.9% | 104.3 | LUCKY |
| 18 | Schooners | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 9 | -3 | 1 | 0.250 | 6 | 10 | 16 | 0 | 0 | 77 | 90 | 99 | 16 | 65 | 767 | 807 | 872 | 64 | 54 | 20 | 33 | 51 | 9 | 2 | 22.22% | 4 | 2 | 50.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 36.4% | 9.2% | 83.3% | 92.6 | FUN |
| 19 | Hydra | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 8 | 8 | 0 | 3 | 0.750 | 8 | 12 | 20 | 0 | 0 | 77 | 90 | 99 | 16 | 66 | 767 | 807 | 872 | 64 | 71 | 20 | 27 | 68 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 50.0% | 12.1% | 88.7% | 100.9 | FUN |
| 20 | Spartans | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 8 | 4 | 4 | 1.000 | 12 | 18 | 30 | 0 | 0 | 77 | 90 | 99 | 16 | 84 | 767 | 807 | 872 | 64 | 70 | 15 | 47 | 44 | 4 | 3 | 75.00% | 6 | 1 | 83.33% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 56.3% | 14.3% | 88.6% | 102.9 | FUN |
| 21 | Northmen | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 77 | 90 | 99 | 16 | 66 | 767 | 807 | 872 | 64 | 68 | 19 | 12 | 55 | 2 | 1 | 50.00% | 6 | 2 | 66.67% | 1 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 40.0% | 7.6% | 88.2% | 95.8 | Unlucky |
| 22 | Yeti | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 10 | 2 | 4 | 0.667 | 12 | 20 | 32 | 0 | 0 | 77 | 90 | 99 | 16 | 115 | 767 | 807 | 872 | 64 | 100 | 32 | 54 | 67 | 4 | 2 | 50.00% | 12 | 2 | 83.33% | 1 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 55.6% | 10.4% | 90.0% | 100.4 | FUN |
| 23 | Wild Wings | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 6 | 6 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 77 | 90 | 99 | 16 | 75 | 767 | 807 | 872 | 64 | 65 | 25 | 23 | 43 | 3 | 2 | 66.67% | 9 | 2 | 77.78% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 71.4% | 16.0% | 90.8% | 106.8 | FUN |
| 24 | Drillers | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 13 | 11 | 2 | 5 | 0.833 | 13 | 23 | 36 | 0 | 0 | 77 | 90 | 99 | 16 | 101 | 767 | 807 | 872 | 64 | 86 | 36 | 24 | 71 | 6 | 4 | 66.67% | 7 | 1 | 85.71% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 47.4% | 12.9% | 87.2% | 100.1 | FUN |
| 25 | Swamp Puppies | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 77 | 90 | 99 | 16 | 68 | 767 | 807 | 872 | 64 | 64 | 8 | 75 | 54 | 7 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 57.1% | 11.8% | 85.9% | 97.7 | FUN |
| _Vs Division | 17 | 13 | 4 | 0 | 2 | 1 | 1 | 1 | 74 | 58 | 16 | 34 | 1.000 | 74 | 118 | 192 | 0 | 0 | 77 | 90 | 99 | 16 | 543 | 767 | 807 | 872 | 64 | 486 | 145 | 233 | 388 | 45 | 16 | 35.56% | 44 | 13 | 70.45% | 0 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 56.3% | 13.6% | 88.1% | 101.7 | FUN | |
| _Vs Conference | 48 | 20 | 15 | 0 | 5 | 2 | 3 | 3 | 179 | 158 | 21 | 61 | 0.635 | 179 | 286 | 465 | 1 | 0 | 77 | 90 | 99 | 16 | 1588 | 767 | 807 | 872 | 64 | 1569 | 522 | 730 | 1107 | 101 | 37 | 36.63% | 130 | 31 | 76.15% | 2 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 52.8% | 11.3% | 89.9% | 101.2 | FUN | |
| _Since Last GM Reset | 73 | 32 | 20 | 0 | 5 | 6 | 6 | 4 | 277 | 235 | 42 | 96 | 0.658 | 277 | 453 | 730 | 1 | 0 | 77 | 90 | 99 | 16 | 2482 | 767 | 807 | 872 | 64 | 2322 | 765 | 1166 | 1729 | 150 | 52 | 34.67% | 198 | 50 | 74.75% | 3 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 54.9% | 11.2% | 89.9% | 101.0 | FUN | |
| Total | 73 | 32 | 20 | 0 | 5 | 6 | 6 | 4 | 277 | 235 | 42 | 96 | 0.658 | 277 | 453 | 730 | 1 | 0 | 77 | 90 | 99 | 16 | 2482 | 767 | 807 | 872 | 64 | 2322 | 765 | 1166 | 1729 | 150 | 52 | 34.67% | 198 | 50 | 74.75% | 3 | 847 | 1652 | 51.27% | 774 | 1466 | 52.80% | 566 | 1095 | 51.69% | 1556 | 897 | 1575 | 664 | 1318 | 658 | 54.9% | 11.2% | 89.9% | 101.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 18 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1652 |
| Neutral Zone Start | 1095 |
| Defensive Zone Start | 1466 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2187 |
| Faceoffs Lost | 2026 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.5 | 9.57 |
| 2nd Period | 21.6 | 20.31 |
| 3rd Period | 33.5 | 30.68 |
| Overtime | 34.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.3 | 1.65 |
| 3rd Period | 3.6 | 2.67 |
| Overtime | 3.9 | 2.83 |
| Even Strenght Goal | 221 |
|---|---|
| PP Goal | 52 |
| PK Goal | 3 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 23 | 20 |
| Lost | 8 | 12 |
| Overtime Lost | 5 | 5 |
| PP Attempt | 150 |
|---|---|
| PP Goal | 52 |
| PK Attempt | 198 |
| PK Goal Against | 50 |
| Home | |
|---|---|
| Shots For | 34.0 |
| Shots Against | 31.8 |
| Goals For | 3.8 |
| Goals Against | 3.2 |
| Hits | 23.7 |
| Shots Blocked | 10.5 |
| Pim | 16.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,089,925$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Berkeley | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 100958 | 67754 | |||
| Attendance PCT | 93.48% | 94.10% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 4 | 4686 - 93.73% | 164,300$ | 5,914,790$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,089,925$ | 3,089,925$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,906,261$ | 3,089,925$ | 2,809,334$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 657,199$ | 18 | 29,523$ | 531,414$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 531,414$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
|
|
|
|
| Defense #1 | Defense #2 | Goalie |
|---|---|---|
|
|
|
Ruben Junnilainen is out for 1 days because of a Exhaustion.
Tani Pahkamaa is out for 1 days because of a Exhaustion.
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||