| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 51 | 21 | 21 | 9 | 51 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jayce Petrie | 83 | RW | 100.00 | 70 | 69 | 95 | 70 | 91 | 82 | 72 | 92 | 80 | 84 | 39 | 72 | 86 | 50 | 60 | 1 | 50 | 77 | 36 | 1,400,000$/2yrs | |||
Michal Stellon (R) | 60 | C | 99.00 | 87 | 29 | 66 | 98 | 71 | 76 | 69 | 83 | 67 | 86 | 44 | 94 | 39 | 67 | 53 | 65 | 50 | 77 | 22 | 800,000$/2yrs | |||
Waldemar Janne (R) | 71 | RW | 100.00 | 93 | 38 | 57 | 73 | 76 | 79 | 80 | 83 | 46 | 98 | 51 | 72 | 36 | 73 | 74 | 61 | 50 | 76 | 23 | 800,000$/1yrs | |||
Erwin Haberer (R) | 80 | LW | 100.00 | 64 | 66 | 87 | 77 | 76 | 74 | 68 | 76 | 72 | 71 | 66 | 84 | 77 | 64 | 74 | 81 | 50 | 74 | 18 | 900,000$/3yrs | |||
Rafael Jewitt | 38 | C | 100.00 | 40 | 54 | 85 | 68 | 53 | 58 | 69 | 84 | 76 | 84 | 83 | 84 | 85 | 93 | 45 | 20 | 50 | 73 | 32 | 899,000$/1yrs | |||
Sigvard Ukkola | 0 | RW | 100.00 | 94 | 48 | 86 | 87 | 81 | 79 | 50 | 91 | 90 | 81 | 44 | 43 | 64 | 59 | 59 | 22 | 50 | 73 | 31 | 950,000$/2yrs | |||
Waylon Mcindeor (R) | 52 | RW | 100.00 | 65 | 57 | 72 | 70 | 84 | 93 | 78 | 87 | 49 | 70 | 63 | 59 | 62 | 32 | 60 | 67 | 50 | 73 | 23 | 850,000$/1yrs | |||
Ryder Schellenberg (R) (A) | 3 | LW | 100.00 | 37 | 50 | 74 | 96 | 82 | 67 | 76 | 79 | 44 | 85 | 77 | 40 | 54 | 65 | 93 | 63 | 50 | 72 | 23 | 1,465,000$/4yrs | |||
Valentin Timkin (R) | 22 | C | 100.00 | 77 | 64 | 53 | 71 | 85 | 71 | 60 | 66 | 63 | 80 | 66 | 81 | 69 | 69 | 71 | 85 | 50 | 72 | 21 | 925,000$/3yrs | |||
Russell Midensky | 63 | LW | 100.00 | 63 | 41 | 78 | 77 | 61 | 64 | 58 | 82 | 83 | 97 | 36 | 69 | 38 | 82 | 84 | 1 | 50 | 70 | 38 | 700,000$/1yrs | |||
Riley Antisin (R) | 85 | C | 100.00 | 28 | 42 | 82 | 67 | 58 | 61 | 66 | 83 | 60 | 92 | 88 | 32 | 76 | 32 | 70 | 52 | 50 | 68 | 24 | 700,000$/1yrs | |||
Wilhelm Billberg (R) | 40 | RW | 100.00 | 34 | 34 | 71 | 90 | 48 | 79 | 71 | 73 | 62 | 64 | 57 | 56 | 63 | 35 | 53 | 66 | 50 | 65 | 22 | 800,000$/2yrs | |||
Chris Mathey | 25 | D | 100.00 | 63 | 48 | 91 | 71 | 60 | 70 | 73 | 88 | 25 | 65 | 37 | 90 | 78 | 44 | 70 | 6 | 50 | 70 | 34 | 1,495,000$/1yrs | |||
Daryl Goyer (R) | 73 | D | 100.00 | 35 | 52 | 90 | 67 | 58 | 83 | 95 | 82 | 25 | 39 | 58 | 95 | 28 | 93 | 53 | 58 | 50 | 69 | 23 | 775,000$/3yrs | |||
Peyton Fennell | 0 | D | 100.00 | 77 | 35 | 89 | 62 | 69 | 69 | 63 | 89 | 25 | 70 | 35 | 77 | 97 | 70 | 78 | 18 | 50 | 68 | 33 | 715,000$/2yrs | |||
Macgregor Yorke | 2 | D | 100.00 | 37 | 53 | 87 | 87 | 38 | 96 | 48 | 72 | 25 | 81 | 73 | 87 | 52 | 50 | 94 | 1 | 50 | 68 | 36 | 1,250,500$/1yrs | |||
Trevor Marcoux (R) | 56 | D | 100.00 | 37 | 44 | 90 | 82 | 32 | 82 | 60 | 82 | 25 | 34 | 65 | 88 | 86 | 54 | 73 | 65 | 50 | 62 | 21 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jochen Sieger | 11 | C | 68.59 | 42 | 67 | 82 | 72 | 82 | 91 | 64 | 88 | 86 | 83 | 59 | 80 | 58 | 56 | 97 | 47 | 50 | 77 | 26 | 1,250,000$/5yrs | |||
Danny Gourlie | 70 | RW | 100.00 | 87 | 50 | 66 | 62 | 95 | 74 | 87 | 90 | 68 | 78 | 67 | 71 | 48 | 56 | 81 | 32 | 50 | 77 | 29 | 1,195,000$/1yrs | |||
Valentin Akerblom (R) | 72 | C | 100.00 | 79 | 47 | 59 | 83 | 43 | 71 | 56 | 65 | 98 | 58 | 50 | 89 | 95 | 68 | 56 | 72 | 50 | 66 | 22 | 955,000$/1yrs | |||
Acke Kronholm (R) | 65 | D | 97.00 | 33 | 42 | 75 | 66 | 96 | 93 | 90 | 93 | 25 | 73 | 38 | 88 | 77 | 52 | 53 | 66 | 50 | 76 | 21 | 800,000$/3yrs | |||
Lubos Gebauer (R) | 48 | D | 87.25 | 50 | 61 | 65 | 85 | 77 | 87 | 75 | 77 | 76 | 75 | 77 | 63 | 85 | 83 | 64 | 61 | 50 | 75 | 18 | 1,000,000$/3yrs | |||
Rabbe Okker | 0 | D | 100.00 | 68 | 66 | 70 | 96 | 76 | 65 | 67 | 96 | 25 | 75 | 62 | 53 | 64 | 39 | 81 | 25 | 50 | 74 | 31 | 700,000$/1yrs | |||
Damien Mosienko (R) | 57 | D | 80.64 | 72 | 33 | 78 | 86 | 29 | 63 | 67 | 70 | 25 | 68 | 41 | 96 | 86 | 94 | 50 | 71 | 50 | 65 | 22 | 1,999,999$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Patrick Carlyle | 35 | 99.00 | 70 | 56 | 63 | 91 | 96 | 67 | 80 | 67 | 93 | 70 | 55 | 28 | 46 | 59 | 50 | 75 | 23 | 1,995,000$/2yrs |
Blaine Trevisani | 1 | 100.00 | 68 | 68 | 76 | 76 | 69 | 71 | 87 | 60 | 64 | 78 | 89 | 42 | 54 | 71 | 50 | 72 | 21 | 1,300,000$/3yrs |
| Scratches | ||||||||||||||||||||
Zakhar Shkurin | 32 | 100.00 | 84 | 58 | 88 | 93 | 46 | 62 | 91 | 62 | 96 | 74 | 54 | 57 | 95 | 7 | 50 | 75 | 35 | 1,520,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Vladimir Dobson | 76 | 56 | 95 | 27 | 35 | 29 | 19 | CAN | 45 | 1 | 700,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Alexandre Bouchard |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MPG | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Michal Stellon | Wolverines (TRI) | C | 51 | 22 | 31 | 53 | 9 | 18 | 0 | 159 | 137 | 27 | 85 | 16.06% | 17 | 19.89 | 5 | 2 | 7 | 0 | 0 | 0 | 57 | 4 | 3 | 46.65% | 0 | 0 | 1.04 | 2 | 9 | 1.01 | |||
| 2 | Waldemar Janne | Wolverines (TRI) | RW | 51 | 14 | 26 | 40 | 11 | 51 | 15 | 157 | 106 | 30 | 66 | 13.21% | 20 | 18.55 | 2 | 5 | 7 | 0 | 1 | 1 | 19 | 3 | 1 | 34.85% | 0 | 0 | 0.78 | 1 | 3 | 0.70 | |||
| 3 | Ryder Schellenberg | Wolverines (TRI) | LW | 51 | 18 | 13 | 31 | 6 | 8 | 0 | 29 | 122 | 34 | 73 | 14.75% | 12 | 12.43 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 36.36% | 0 | 0 | 0.61 | 0 | 0 | 0.69 | |||
| 4 | Jochen Sieger | Wolverines (TRI) | C | 42 | 14 | 15 | 29 | -5 | 21 | 15 | 43 | 128 | 45 | 77 | 10.94% | 7 | 19.19 | 6 | 0 | 6 | 0 | 0 | 0 | 49 | 2 | 1 | 51.84% | 0 | 0 | 0.69 | 1 | 7 | 0.65 | |||
| 5 | Danny Gourlie | Wolverines (TRI) | RW | 42 | 9 | 14 | 23 | 1 | 17 | 5 | 106 | 82 | 19 | 44 | 10.98% | 15 | 15.95 | 0 | 4 | 4 | 1 | 0 | 1 | 45 | 0 | 1 | 51.16% | 0 | 0 | 0.55 | 1 | 4 | 0.56 | |||
| 6 | Jayce Petrie | Wolverines (TRI) | RW | 46 | 7 | 15 | 22 | -3 | 54 | 30 | 93 | 97 | 31 | 78 | 7.22% | 14 | 19.46 | 0 | 2 | 2 | 1 | 0 | 1 | 47 | 1 | 1 | 51.14% | 1 | 0 | 0.48 | 1 | 5 | 0.34 | |||
| 7 | Erwin Haberer | Wolverines (TRI) | LW | 51 | 10 | 12 | 22 | -11 | 48 | 20 | 99 | 113 | 39 | 63 | 8.85% | 18 | 18.44 | 0 | 5 | 5 | 0 | 0 | 0 | 2 | 3 | 1 | 44.44% | 0 | 0 | 0.43 | 0 | 1 | 0.31 | |||
| 8 | Lubos Gebauer | Wolverines (TRI) | D | 51 | 3 | 14 | 17 | -15 | 55 | 35 | 79 | 89 | 30 | 25 | 3.37% | 74 | 25.25 | 2 | 3 | 5 | 0 | 0 | 0 | 62 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 1 | 0.16 | |||
| 9 | Rafael Jewitt | Wolverines (TRI) | C | 47 | 5 | 9 | 14 | -3 | 2 | 0 | 30 | 89 | 26 | 41 | 5.62% | 11 | 14.39 | 0 | 1 | 1 | 0 | 1 | 1 | 27 | 1 | 1 | 47.28% | 0 | 0 | 0.30 | 0 | 1 | 0.34 | |||
| 10 | Acke Kronholm | Wolverines (TRI) | D | 50 | 0 | 13 | 13 | -9 | 39 | 15 | 51 | 43 | 19 | 19 | 0.00% | 71 | 26.03 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.10 | |||
| 11 | Macgregor Yorke | Wolverines (TRI) | D | 32 | 1 | 11 | 12 | 11 | 5 | 5 | 27 | 22 | 17 | 10 | 4.55% | 27 | 16.81 | 0 | 1 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.38 | 1 | 1 | 0.44 | |||
| 12 | Valentin Timkin | Wolverines (TRI) | C | 51 | 1 | 9 | 10 | -2 | 27 | 5 | 96 | 33 | 10 | 21 | 3.03% | 9 | 10.16 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 41.57% | 0 | 0 | 0.20 | 0 | 0 | 0.11 | |||
| 13 | Russell Midensky | Wolverines (TRI) | LW | 42 | 3 | 6 | 9 | -3 | 6 | 0 | 28 | 28 | 13 | 26 | 10.71% | 7 | 9.16 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 33.33% | 0 | 0 | 0.21 | 0 | 0 | 0.17 | |||
| 14 | Daryl Goyer | Wolverines (TRI) | D | 51 | 2 | 7 | 9 | 3 | 5 | 5 | 16 | 35 | 15 | 16 | 5.71% | 58 | 18.66 | 0 | 1 | 1 | 0 | 0 | 0 | 45 | 1 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.21 | |||
| 15 | Waylon Mcindeor | Wolverines (TRI) | RW | 51 | 5 | 3 | 8 | -12 | 4 | 0 | 77 | 71 | 23 | 33 | 7.04% | 13 | 10.76 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 33.33% | 0 | 0 | 0.16 | 0 | 0 | 0.18 | |||
| 16 | Damien Mosienko | Wolverines (TRI) | D | 27 | 0 | 6 | 6 | -5 | 6 | 0 | 31 | 15 | 7 | 4 | 0.00% | 27 | 17.20 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 1 | 0.13 | |||
| 17 | Chris Mathey | Wolverines (TRI) | D | 11 | 1 | 4 | 5 | -2 | 2 | 0 | 9 | 8 | 4 | 4 | 12.50% | 10 | 20.42 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | 0.31 | |||
| 18 | Sigvard Ukkola | Wolverines (TRI) | RW | 18 | 1 | 1 | 2 | 1 | 0 | 0 | 20 | 14 | 13 | 9 | 7.14% | 1 | 8.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 60.00% | 0 | 0 | 0.11 | 0 | 0 | 0.21 | |||
| 19 | Riley Antisin | Wolverines (TRI) | C | 2 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 40.00% | 0 | 6.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 1.00 | 0 | 0 | 1.10 | |||
| 20 | Valentin Akerblom | Wolverines (TRI) | C | 11 | 1 | 1 | 2 | -3 | 2 | 0 | 15 | 3 | 1 | 0 | 33.33% | 2 | 8.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.35% | 0 | 0 | 0.18 | 0 | 0 | 0.04 | |||
| 21 | Trevor Marcoux | Wolverines (TRI) | D | 29 | 0 | 2 | 2 | 2 | 10 | 10 | 1 | 22 | 6 | 4 | 0.00% | 13 | 11.11 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 1 | 0.08 | |||
| 22 | Rabbe Okker | Wolverines (TRI) | D | 4 | 0 | 1 | 1 | -2 | 7 | 5 | 4 | 2 | 1 | 1 | 0.00% | 2 | 18.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.26 | |||
| 23 | Wilhelm Billberg | Wolverines (TRI) | RW | 6 | 0 | 1 | 1 | -3 | 0 | 0 | 1 | 6 | 4 | 6 | 0.00% | 3 | 8.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.07 | |||
| 24 | Peyton Fennell | Wolverines (TRI) | D | 7 | 0 | 0 | 0 | 2 | 0 | 0 | 7 | 1 | 0 | 0 | 0.00% | 3 | 10.29 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.14 | |||
| Team Total or Average | 824 | 119 | 214 | 333 | -31 | 387 | 165 | 1178 | 1271 | 414 | 705 | 9.36% | 434 | 16.48 | 15 | 25 | 40 | 750 | 2 | 2 | 4 | 492 | 16 | 10 | 47.68% | 2716 | 345 | 297 | 1 | 0 | 0.49 | 7 | 34 |
| 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 | Patrick Carlyle | Wolverines (TRI) | 34 | 13 | 13 | 8 | 0.908 | 2.73 | 2003 | 2 | 1 | 91 | 994 | 488 | 0 | 1 | 0.692 | 26 | 33 | 15 | 5 | 1 | 2 |
| 2 | Blaine Trevisani | Wolverines (TRI) | 16 | 7 | 7 | 0 | 0.889 | 3.54 | 915 | 2 | 0 | 54 | 486 | 245 | 1 | 1 | 0.833 | 6 | 15 | 33 | 0 | 1 | 1 |
| 3 | Zakhar Shkurin | Wolverines (TRI) | 3 | 1 | 1 | 1 | 0.917 | 2.92 | 185 | 0 | 0 | 9 | 108 | 70 | 0 | 0 | 0.333 | 3 | 3 | 3 | 0 | 0 | 0 |
| Team Total or Average | 53 | 21 | 21 | 9 | 0.903 | 2.98 | 3103 | 4 | 1 | 154 | 1588 | 803 | 1 | 2 | 0.686 | 35 | 51 | 51 | 5 | 2 | 3 |
| Player Name | POS | Age | Cap Hit | 5-6 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Acke Kronholm | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Blaine Trevisani | G | 21 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | |||||
Chris Mathey ![]() | D | 34 | 1,495,000$ | 1,495,000$ | |||||||
Damien Mosienko ![]() | D | 22 | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||||
Danny Gourlie ![]() | RW | 29 | 1,195,000$ | 1,195,000$ | |||||||
Daryl Goyer | D | 23 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | |||||
Erwin Haberer | LW | 18 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Jayce Petrie ![]() | RW | 36 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Jochen Sieger ![]() | C | 26 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | |||
Lubos Gebauer ![]() | D | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Macgregor Yorke ![]() | D | 36 | 1,250,500$ | 1,250,500$ | |||||||
Michal Stellon | C | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Patrick Carlyle | G | 23 | 1,995,000$ | 1,995,000$ | 1,995,000$ | ||||||
Peyton Fennell ![]() | D | 33 | 715,000$ | 715,000$ | 715,000$ | ||||||
Rabbe Okker ![]() | D | 31 | 700,000$ | 700,000$ | |||||||
Rafael Jewitt ![]() | C | 32 | 899,000$ | 899,000$ | |||||||
Riley Antisin | C | 24 | 700,000$ | 700,000$ | |||||||
Russell Midensky ![]() | LW | 38 | 700,000$ | 700,000$ | |||||||
Ryder Schellenberg | LW | 23 | 1,465,000$ | 1,465,000$ | 1,465,000$ | 1,465,000$ | 1,465,000$ | ||||
Sigvard Ukkola ![]() | RW | 31 | 950,000$ | 950,000$ | 950,000$ | ||||||
Trevor Marcoux | D | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Valentin Akerblom | C | 22 | 955,000$ | 955,000$ | |||||||
Valentin Timkin | C | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
Waldemar Janne | RW | 23 | 800,000$ | 800,000$ | |||||||
Waylon Mcindeor | RW | 23 | 850,000$ | 850,000$ | |||||||
Wilhelm Billberg | RW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Zakhar Shkurin ![]() | G | 35 | 1,520,000$ | 1,520,000$ |
| 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 | 12 | 13 | -1 | 3 | 0.500 | 12 | 18 | 30 | 0 | 0 | 29 | 53 | 58 | 9 | 92 | 428 | 495 | 517 | 57 | 86 | 38 | 57 | 78 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 50.0% | 13.0% | 84.9% | 97.9 | FUN |
| 2 | Jacks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 29 | 53 | 58 | 9 | 57 | 428 | 495 | 517 | 57 | 67 | 21 | 58 | 36 | 2 | 1 | 50.00% | 9 | 3 | 66.67% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 50.0% | 8.8% | 89.6% | 98.3 | Unlucky |
| 3 | Rampage | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 29 | 53 | 58 | 9 | 35 | 428 | 495 | 517 | 57 | 38 | 5 | 11 | 26 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 40.0% | 5.7% | 86.8% | 92.6 | Unlucky |
| 4 | Kings | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 11 | -1 | 6 | 0.600 | 10 | 14 | 24 | 1 | 0 | 29 | 53 | 58 | 9 | 130 | 428 | 495 | 517 | 57 | 158 | 36 | 57 | 122 | 5 | 0 | 0.00% | 16 | 2 | 87.50% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 52.6% | 7.7% | 93.0% | 100.7 | DULL |
| 5 | Comets | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 29 | 53 | 58 | 9 | 76 | 428 | 495 | 517 | 57 | 76 | 27 | 9 | 48 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 42.9% | 7.9% | 89.5% | 97.4 | Unlucky |
| 6 | Bulldogs | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 29 | 53 | 58 | 9 | 60 | 428 | 495 | 517 | 57 | 60 | 21 | 21 | 48 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 28.6% | 5.0% | 91.7% | 96.7 | DULL |
| 7 | Rock | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 29 | 53 | 58 | 9 | 31 | 428 | 495 | 517 | 57 | 26 | 14 | 7 | 22 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 50.0% | 6.5% | 88.5% | 94.9 | Unlucky |
| 8 | Auroras | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 11 | -1 | 5 | 0.625 | 10 | 15 | 25 | 0 | 0 | 29 | 53 | 58 | 9 | 93 | 428 | 495 | 517 | 57 | 106 | 43 | 14 | 101 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 52.6% | 10.8% | 89.6% | 100.4 | FUN |
| 9 | Jazz | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 10 | 15 | -5 | 3 | 0.500 | 10 | 15 | 25 | 0 | 0 | 29 | 53 | 58 | 9 | 90 | 428 | 495 | 517 | 57 | 75 | 22 | 41 | 70 | 15 | 3 | 20.00% | 3 | 2 | 33.33% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 35.0% | 11.1% | 80.0% | 91.1 | FUN |
| 10 | Hornets | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 6 | 4 | 5 | 0.833 | 10 | 17 | 27 | 0 | 1 | 29 | 53 | 58 | 9 | 90 | 428 | 495 | 517 | 57 | 76 | 34 | 19 | 80 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 64.3% | 11.1% | 92.1% | 103.2 | LUCKY |
| 11 | Wolfpack | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 11 | 12 | -1 | 4 | 0.500 | 11 | 17 | 28 | 0 | 0 | 29 | 53 | 58 | 9 | 107 | 428 | 495 | 517 | 57 | 140 | 35 | 18 | 102 | 12 | 2 | 16.67% | 9 | 1 | 88.89% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 45.0% | 10.3% | 91.4% | 101.7 | LUCKY |
| 12 | Vipers | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 0 | 0.000 | 9 | 16 | 25 | 1 | 0 | 29 | 53 | 58 | 9 | 84 | 428 | 495 | 517 | 57 | 94 | 29 | 15 | 79 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 42.1% | 10.7% | 86.2% | 96.9 | FUN |
| 13 | Devils | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 29 | 53 | 58 | 9 | 60 | 428 | 495 | 517 | 57 | 68 | 20 | 10 | 42 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 1 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 42.9% | 6.7% | 91.2% | 97.8 | DULL |
| 14 | Guppies | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 29 | 53 | 58 | 9 | 84 | 428 | 495 | 517 | 57 | 86 | 39 | 22 | 64 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 57.1% | 11.9% | 90.7% | 102.6 | FUN |
| 15 | Stingers | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 29 | 53 | 58 | 9 | 47 | 428 | 495 | 517 | 57 | 52 | 26 | 6 | 75 | 9 | 1 | 11.11% | 3 | 3 | 0.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 66.7% | 14.9% | 88.5% | 103.4 | FUN |
| 16 | Schooners | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 29 | 53 | 58 | 9 | 21 | 428 | 495 | 517 | 57 | 37 | 10 | 7 | 33 | 0 | 0 | 0.00% | 1 | 1 | 0.00% | 1 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 40.0% | 9.5% | 89.2% | 98.7 | FUN |
| 17 | Hydra | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 29 | 53 | 58 | 9 | 62 | 428 | 495 | 517 | 57 | 57 | 11 | 6 | 42 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 46.2% | 9.7% | 87.7% | 97.4 | FUN |
| 18 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 29 | 53 | 58 | 9 | 49 | 428 | 495 | 517 | 57 | 69 | 14 | 24 | 61 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 50.0% | 12.2% | 88.4% | 100.7 | FUN |
| 19 | Spartans | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 29 | 53 | 58 | 9 | 34 | 428 | 495 | 517 | 57 | 42 | 17 | 2 | 30 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 57.1% | 11.8% | 92.9% | 104.6 | LUCKY |
| 20 | Northmen | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 29 | 53 | 58 | 9 | 27 | 428 | 495 | 517 | 57 | 41 | 10 | 5 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 66.7% | 7.4% | 97.6% | 105.0 | DULL |
| 21 | Yeti | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 29 | 53 | 58 | 9 | 56 | 428 | 495 | 517 | 57 | 72 | 20 | 11 | 37 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 60.0% | 14.3% | 94.4% | 108.7 | LUCKY |
| 22 | Wild Wings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 29 | 53 | 58 | 9 | 79 | 428 | 495 | 517 | 57 | 64 | 18 | 0 | 45 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 53.8% | 8.9% | 90.6% | 99.5 | Unlucky |
| _Vs Division | 4 | 3 | 7 | 0 | 1 | 0 | 1 | 0 | 13 | 13 | 0 | 10 | 1.250 | 13 | 22 | 35 | 0 | 0 | 29 | 53 | 58 | 9 | 134 | 428 | 495 | 517 | 57 | 143 | 45 | 9 | 108 | 6 | 0 | 0.00% | 2 | 1 | 50.00% | 1 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 52.0% | 9.7% | 90.9% | 100.6 | FUN | |
| _Vs Conference | 34 | 10 | 14 | 0 | 3 | 1 | 2 | 4 | 99 | 106 | -7 | 35 | 0.515 | 99 | 158 | 257 | 2 | 1 | 29 | 53 | 58 | 9 | 943 | 428 | 495 | 517 | 57 | 1028 | 337 | 322 | 811 | 71 | 14 | 19.72% | 76 | 19 | 75.00% | 1 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 49.4% | 10.5% | 89.7% | 100.2 | FUN | |
| _Since Last GM Reset | 51 | 15 | 21 | 0 | 3 | 3 | 3 | 6 | 146 | 162 | -16 | 51 | 0.500 | 146 | 232 | 378 | 2 | 1 | 29 | 53 | 58 | 9 | 1464 | 428 | 495 | 517 | 57 | 1590 | 510 | 420 | 1264 | 101 | 16 | 15.84% | 95 | 28 | 70.53% | 2 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 49.2% | 10.0% | 89.8% | 99.8 | FUN | |
| Total | 51 | 15 | 21 | 0 | 3 | 3 | 3 | 6 | 146 | 162 | -16 | 51 | 0.500 | 146 | 232 | 378 | 2 | 1 | 29 | 53 | 58 | 9 | 1464 | 428 | 495 | 517 | 57 | 1590 | 510 | 420 | 1264 | 101 | 16 | 15.84% | 95 | 28 | 70.53% | 2 | 481 | 997 | 48.24% | 501 | 1034 | 48.45% | 342 | 701 | 48.79% | 1134 | 669 | 1067 | 451 | 909 | 461 | 49.2% | 10.0% | 89.8% | 99.8 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 17 |
| Defensive Zone | 20 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 997 |
| Neutral Zone Start | 701 |
| Defensive Zone Start | 1034 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1324 |
| Faceoffs Lost | 1408 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.4 | 9.57 |
| 2nd Period | 18.1 | 20.31 |
| 3rd Period | 28.2 | 30.68 |
| Overtime | 29.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.6 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 126 |
|---|---|
| PP Goal | 16 |
| PK Goal | 2 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 11 | 10 |
| Lost | 11 | 10 |
| Overtime Lost | 5 | 4 |
| PP Attempt | 101 |
|---|---|
| PP Goal | 16 |
| PK Attempt | 95 |
| PK Goal Against | 28 |
| Home | |
|---|---|
| Shots For | 28.7 |
| Shots Against | 31.2 |
| Goals For | 2.9 |
| Goals Against | 3.2 |
| Hits | 24.8 |
| Shots Blocked | 10.0 |
| Pim | 8.2 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,468,950$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Kamloops | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 50628 | 25896 | |||
| Attendance PCT | 93.76% | 95.91% | 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 |
| 13 | 2834 - 94.47% | 84,016$ | 2,268,439$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,468,950$ | 2,468,950$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,260,313$ | 2,468,950$ | 2,260,313$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 1,092,211$ | 58 | 21,412$ | 1,263,308$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,263,308$ | 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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Jochen Sieger is out for 1 month because of a Sprained Right Knee Injury.
Damien Mosienko is out for 2 weeks because of a Sprained Left Ankle Injury.
Lubos Gebauer is out for 1 week because of a Strained Left Knee Injury.
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