| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 77 | 29 | 35 | 13 | 71 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jochen Sieger | 11 | C | 98.00 | 42 | 67 | 82 | 72 | 82 | 91 | 64 | 88 | 86 | 83 | 59 | 80 | 58 | 56 | 97 | 47 | 50 | 77 | 26 | 1,250,000$/5yrs | |||
Danny Gourlie | 70 | RW | 99.00 | 87 | 50 | 66 | 62 | 95 | 74 | 87 | 90 | 68 | 78 | 67 | 71 | 48 | 56 | 81 | 32 | 50 | 77 | 29 | 1,195,000$/1yrs | |||
Michal Stellon (R) | 60 | C | 95.00 | 87 | 29 | 66 | 98 | 71 | 76 | 69 | 83 | 67 | 86 | 44 | 94 | 39 | 67 | 53 | 65 | 50 | 77 | 22 | 800,000$/2yrs | |||
Waldemar Janne (R) | 71 | RW | 99.00 | 93 | 38 | 57 | 73 | 76 | 79 | 80 | 83 | 46 | 98 | 51 | 72 | 36 | 73 | 74 | 61 | 50 | 76 | 23 | 800,000$/1yrs | |||
Erwin Haberer (R) | 80 | LW | 99.00 | 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$/4yrs | |||
Riley Antisin (R) | 85 | C | 100.00 | 28 | 42 | 82 | 67 | 58 | 61 | 66 | 83 | 60 | 92 | 88 | 32 | 76 | 32 | 70 | 52 | 50 | 68 | 24 | 700,000$/1yrs | |||
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$/1yrs | |||
Wilhelm Billberg (R) | 40 | LW/RW | 100.00 | 34 | 34 | 71 | 90 | 48 | 79 | 71 | 73 | 62 | 64 | 57 | 56 | 63 | 35 | 53 | 66 | 50 | 65 | 22 | 800,000$/2yrs | |||
Acke Kronholm (R) | 65 | D | 99.00 | 33 | 42 | 75 | 66 | 96 | 93 | 90 | 93 | 25 | 73 | 38 | 88 | 77 | 52 | 53 | 66 | 50 | 76 | 21 | 800,000$/3yrs | |||
Lubos Gebauer (R) | 48 | D | 99.00 | 50 | 61 | 65 | 85 | 77 | 87 | 75 | 77 | 76 | 75 | 77 | 63 | 85 | 83 | 64 | 61 | 50 | 75 | 18 | 1,000,000$/3yrs | |||
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 | |||
Damien Mosienko (R) | 57 | D | 100.00 | 72 | 33 | 78 | 86 | 29 | 63 | 67 | 70 | 25 | 68 | 41 | 96 | 86 | 94 | 50 | 71 | 50 | 65 | 22 | 1,999,999$/2yrs | |||
Trevor Marcoux (R) | 56 | D | 100.00 | 37 | 44 | 90 | 82 | 32 | 82 | 60 | 82 | 25 | 34 | 65 | 88 | 86 | 54 | 73 | 65 | 50 | 62 | 21 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Valentin Timkin (R) | 22 | C | 72.78 | 77 | 64 | 53 | 71 | 85 | 71 | 60 | 66 | 63 | 80 | 66 | 81 | 69 | 69 | 71 | 85 | 50 | 72 | 21 | 925,000$/3yrs | |||
Russell Midensky | 63 | LW | 95.82 | 63 | 41 | 78 | 77 | 61 | 64 | 58 | 82 | 83 | 97 | 36 | 69 | 38 | 82 | 84 | 1 | 50 | 70 | 38 | 700,000$/1yrs | |||
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$/1yrs | |||
Peyton Fennell | 0 | D | 100.00 | 77 | 35 | 89 | 62 | 69 | 69 | 63 | 89 | 25 | 70 | 35 | 77 | 97 | 70 | 78 | 18 | 50 | 68 | 33 | 715,000$/2yrs | |||
Macgregor Yorke | 2 | D | 83.17 | 37 | 53 | 87 | 87 | 38 | 96 | 48 | 72 | 25 | 81 | 73 | 87 | 52 | 50 | 94 | 1 | 50 | 68 | 36 | 1,250,500$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zakhar Shkurin | 32 | 100.00 | 84 | 58 | 88 | 93 | 46 | 62 | 91 | 62 | 96 | 74 | 54 | 57 | 95 | 7 | 50 | 75 | 35 | 1,520,000$/1yrs |
Patrick Carlyle | 35 | 98.00 | 70 | 56 | 63 | 91 | 96 | 67 | 80 | 67 | 93 | 70 | 55 | 28 | 46 | 59 | 50 | 75 | 23 | 1,995,000$/2yrs |
| Scratches | ||||||||||||||||||||
Blaine Trevisani | 1 | 100.00 | 68 | 68 | 76 | 76 | 69 | 71 | 87 | 60 | 64 | 78 | 89 | 42 | 54 | 71 | 50 | 72 | 21 | 1,300,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Wolf-Dieter Niemeyer | 93 | 95 | 34 | 45 | 99 | 73 | 73 | GER | 55 | 3 | 800,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| 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 | 75 | 35 | 37 | 72 | 3 | 36 | 0 | 221 | 195 | 50 | 120 | 17.95% | 35 | 20.26 | 7 | 3 | 10 | 0 | 1 | 1 | 83 | 6 | 5 | 45.74% | 0 | 0 | 0.96 | 2 | 12 | 0.89 | |||
| 2 | Waldemar Janne | Wolverines (TRI) | RW | 77 | 19 | 35 | 54 | 10 | 85 | 25 | 221 | 152 | 40 | 98 | 12.50% | 30 | 18.56 | 3 | 6 | 9 | 1 | 1 | 2 | 58 | 3 | 1 | 33.00% | 0 | 0 | 0.70 | 1 | 4 | 0.58 | |||
| 3 | Ryder Schellenberg | Wolverines (TRI) | LW | 77 | 25 | 21 | 46 | -10 | 28 | 10 | 64 | 212 | 62 | 126 | 11.79% | 19 | 14.21 | 3 | 2 | 5 | 0 | 0 | 0 | 7 | 0 | 1 | 35.29% | 1 | 0 | 0.60 | 0 | 0 | 0.60 | |||
| 4 | Jochen Sieger | Wolverines (TRI) | C | 51 | 16 | 17 | 33 | -7 | 26 | 20 | 58 | 139 | 49 | 90 | 11.51% | 10 | 19.38 | 6 | 1 | 7 | 0 | 0 | 0 | 52 | 3 | 1 | 51.77% | 0 | 0 | 0.65 | 1 | 7 | 0.58 | |||
| 5 | Erwin Haberer | Wolverines (TRI) | LW | 77 | 14 | 17 | 31 | -12 | 55 | 25 | 129 | 133 | 53 | 79 | 10.53% | 26 | 18.53 | 0 | 6 | 6 | 0 | 0 | 0 | 30 | 4 | 1 | 45.45% | 0 | 0 | 0.40 | 0 | 1 | 0.30 | |||
| 6 | Danny Gourlie | Wolverines (TRI) | RW | 68 | 11 | 16 | 27 | -3 | 28 | 10 | 148 | 103 | 26 | 60 | 10.68% | 18 | 14.43 | 0 | 4 | 4 | 1 | 0 | 1 | 65 | 0 | 2 | 44.94% | 0 | 0 | 0.40 | 1 | 6 | 0.38 | |||
| 7 | Lubos Gebauer | Wolverines (TRI) | D | 71 | 4 | 21 | 25 | -25 | 102 | 50 | 107 | 117 | 43 | 36 | 3.42% | 92 | 24.52 | 2 | 3 | 5 | 0 | 0 | 0 | 84 | 0 | 0 | 0.00% | 0 | 0 | 0.35 | 0 | 1 | 0.07 | |||
| 8 | Acke Kronholm | Wolverines (TRI) | D | 76 | 0 | 20 | 20 | -20 | 52 | 20 | 72 | 69 | 33 | 33 | 0.00% | 106 | 25.63 | 0 | 1 | 1 | 0 | 0 | 0 | 102 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.09 | |||
| 9 | Rafael Jewitt | Wolverines (TRI) | C | 73 | 8 | 11 | 19 | -11 | 9 | 5 | 56 | 120 | 37 | 63 | 6.67% | 19 | 14.15 | 0 | 1 | 1 | 0 | 1 | 1 | 52 | 2 | 1 | 48.88% | 0 | 0 | 0.26 | 0 | 1 | 0.26 | |||
| 10 | Russell Midensky | Wolverines (TRI) | LW | 65 | 5 | 11 | 16 | -9 | 6 | 0 | 72 | 56 | 25 | 49 | 8.93% | 16 | 10.87 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 30.77% | 0 | 0 | 0.25 | 0 | 0 | 0.21 | |||
| 11 | Macgregor Yorke | Wolverines (TRI) | D | 55 | 1 | 14 | 15 | 5 | 5 | 5 | 30 | 37 | 20 | 14 | 2.70% | 52 | 15.85 | 0 | 2 | 2 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 1 | 1 | 0.29 | |||
| 12 | Daryl Goyer | Wolverines (TRI) | D | 77 | 2 | 12 | 14 | -5 | 19 | 15 | 28 | 53 | 27 | 22 | 3.77% | 91 | 19.77 | 0 | 2 | 2 | 0 | 0 | 0 | 91 | 1 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.15 | |||
| 13 | Riley Antisin | Wolverines (TRI) | C | 28 | 6 | 5 | 11 | -11 | 2 | 0 | 12 | 50 | 12 | 20 | 12.00% | 3 | 11.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.14% | 0 | 0 | 0.39 | 0 | 0 | 0.28 | |||
| 14 | Valentin Timkin | Wolverines (TRI) | C | 57 | 2 | 9 | 11 | -5 | 27 | 5 | 110 | 35 | 12 | 23 | 5.71% | 10 | 10.56 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 44.84% | 0 | 0 | 0.19 | 0 | 0 | 0.10 | |||
| 15 | Chris Mathey | Wolverines (TRI) | D | 37 | 1 | 9 | 10 | -12 | 4 | 0 | 33 | 24 | 10 | 15 | 4.17% | 37 | 19.68 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.15 | |||
| 16 | Waylon Mcindeor | Wolverines (TRI) | RW | 62 | 6 | 3 | 9 | -13 | 4 | 0 | 92 | 81 | 25 | 43 | 7.41% | 13 | 10.59 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 35.14% | 0 | 0 | 0.15 | 0 | 0 | 0.17 | |||
| 17 | Damien Mosienko | Wolverines (TRI) | D | 37 | 0 | 7 | 7 | -16 | 6 | 0 | 42 | 18 | 14 | 5 | 0.00% | 52 | 18.23 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0.19 | 0 | 1 | 0.05 | |||
| 18 | Sigvard Ukkola | Wolverines (TRI) | RW | 44 | 1 | 3 | 4 | -8 | 6 | 0 | 44 | 45 | 23 | 30 | 2.22% | 4 | 9.41 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 50.00% | 0 | 0 | 0.09 | 0 | 0 | 0.10 | |||
| 19 | Rabbe Okker | Wolverines (TRI) | D | 13 | 1 | 3 | 4 | -7 | 20 | 10 | 12 | 15 | 7 | 5 | 6.67% | 11 | 19.54 | 1 | 1 | 2 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.31 | 0 | 0 | -0.11 | |||
| 20 | Wilhelm Billberg | Wolverines (TRI) | LW/RW | 24 | 1 | 1 | 2 | -13 | 2 | 0 | 13 | 20 | 9 | 11 | 5.00% | 7 | 10.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 16.67% | 0 | 0 | 0.08 | 0 | 0 | -0.05 | |||
| 21 | Valentin Akerblom | Wolverines (TRI) | C | 26 | 1 | 1 | 2 | -4 | 6 | 0 | 27 | 7 | 5 | 4 | 14.29% | 3 | 7.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56.34% | 0 | 0 | 0.08 | 0 | 0 | 0.00 | |||
| 22 | Trevor Marcoux | Wolverines (TRI) | D | 30 | 0 | 2 | 2 | 1 | 10 | 10 | 2 | 22 | 6 | 4 | 0.00% | 16 | 11.19 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 1 | 0.07 | |||
| 23 | Peyton Fennell | Wolverines (TRI) | D | 23 | 0 | 0 | 0 | -2 | 4 | 0 | 17 | 11 | 3 | 3 | 0.00% | 13 | 12.88 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 1223 | 159 | 275 | 434 | -174 | 542 | 210 | 1610 | 1714 | 591 | 953 | 9.28% | 683 | 16.36 | 22 | 33 | 55 | 910 | 2 | 3 | 5 | 808 | 21 | 12 | 47.15% | 3930 | 481 | 469 | 1 | 0 | 0.43 | 6 | 35 |
| 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) | 48 | 16 | 18 | 12 | 0.909 | 2.79 | 2771 | 4 | 1 | 129 | 1411 | 699 | 0 | 1 | 0.667 | 30 | 46 | 20 | 7 | 3 | 2 |
| 2 | Blaine Trevisani | Wolverines (TRI) | 21 | 8 | 11 | 0 | 0.886 | 3.64 | 1205 | 2 | 1 | 73 | 638 | 326 | 1 | 1 | 0.833 | 6 | 20 | 40 | 1 | 1 | 1 |
| 3 | Zakhar Shkurin | Wolverines (TRI) | 14 | 5 | 6 | 1 | 0.909 | 3.04 | 711 | 0 | 0 | 36 | 397 | 243 | 0 | 0 | 0.667 | 6 | 11 | 17 | 4 | 0 | 0 |
| Team Total or Average | 83 | 29 | 35 | 13 | 0.903 | 3.05 | 4687 | 6 | 2 | 238 | 2446 | 1268 | 1 | 2 | 0.690 | 42 | 77 | 77 | 12 | 4 | 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$ | |||||
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 | LW/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 | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 12 | 15 | -3 | 3 | 0.375 | 12 | 18 | 30 | 0 | 0 | 38 | 76 | 75 | 11 | 108 | 583 | 710 | 734 | 82 | 107 | 46 | 73 | 111 | 8 | 1 | 12.50% | 9 | 4 | 55.56% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 50.0% | 11.1% | 86.0% | 97.1 | FUN |
| 2 | Jacks | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 4 | 0.500 | 10 | 15 | 25 | 0 | 0 | 38 | 76 | 75 | 11 | 113 | 583 | 710 | 734 | 82 | 131 | 31 | 74 | 79 | 7 | 2 | 28.57% | 12 | 3 | 75.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 57.1% | 8.8% | 93.1% | 102.0 | DULL |
| 3 | Rampage | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 8 | -4 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 38 | 76 | 75 | 11 | 63 | 583 | 710 | 734 | 82 | 80 | 17 | 20 | 48 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 40.0% | 6.3% | 90.0% | 96.3 | Unlucky |
| 4 | Kings | 7 | 3 | 2 | 0 | 0 | 0 | 2 | 0 | 15 | 13 | 2 | 10 | 0.714 | 15 | 20 | 35 | 1 | 0 | 38 | 76 | 75 | 11 | 167 | 583 | 710 | 734 | 82 | 221 | 57 | 77 | 158 | 6 | 0 | 0.00% | 21 | 2 | 90.48% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 57.7% | 9.0% | 94.1% | 103.1 | LUCKY |
| 5 | Comets | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 38 | 76 | 75 | 11 | 76 | 583 | 710 | 734 | 82 | 76 | 27 | 9 | 48 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 42.9% | 7.9% | 89.5% | 97.4 | Unlucky |
| 6 | Crusaders | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 38 | 76 | 75 | 11 | 56 | 583 | 710 | 734 | 82 | 72 | 18 | 6 | 35 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 25.0% | 5.4% | 91.7% | 97.0 | DULL |
| 7 | Bulldogs | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 38 | 76 | 75 | 11 | 60 | 583 | 710 | 734 | 82 | 60 | 21 | 21 | 48 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 28.6% | 5.0% | 91.7% | 96.7 | DULL |
| 8 | Rock | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 38 | 76 | 75 | 11 | 51 | 583 | 710 | 734 | 82 | 56 | 24 | 21 | 39 | 5 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 33.3% | 5.9% | 83.9% | 89.8 | Unlucky |
| 9 | Auroras | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 11 | -1 | 5 | 0.625 | 10 | 15 | 25 | 0 | 0 | 38 | 76 | 75 | 11 | 93 | 583 | 710 | 734 | 82 | 106 | 43 | 14 | 101 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 52.6% | 10.8% | 89.6% | 100.4 | FUN |
| 10 | Jazz | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 14 | 15 | -1 | 5 | 0.625 | 14 | 21 | 35 | 0 | 1 | 38 | 76 | 75 | 11 | 113 | 583 | 710 | 734 | 82 | 95 | 34 | 43 | 103 | 17 | 5 | 29.41% | 4 | 2 | 50.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 40.9% | 12.4% | 84.2% | 96.6 | FUN |
| 11 | Hornets | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 10 | 1 | 5 | 0.625 | 11 | 19 | 30 | 0 | 1 | 38 | 76 | 75 | 11 | 112 | 583 | 710 | 734 | 82 | 107 | 45 | 27 | 102 | 4 | 1 | 25.00% | 11 | 1 | 90.91% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 52.6% | 9.8% | 90.7% | 100.5 | FUN |
| 12 | Wolfpack | 7 | 2 | 4 | 0 | 1 | 0 | 0 | 0 | 16 | 23 | -7 | 6 | 0.429 | 16 | 26 | 42 | 0 | 0 | 38 | 76 | 75 | 11 | 182 | 583 | 710 | 734 | 82 | 250 | 80 | 41 | 163 | 19 | 3 | 15.79% | 13 | 1 | 92.31% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 37.1% | 8.8% | 90.8% | 99.6 | Unlucky |
| 13 | Vipers | 7 | 0 | 5 | 0 | 1 | 1 | 0 | 0 | 18 | 30 | -12 | 3 | 0.214 | 18 | 28 | 46 | 1 | 0 | 38 | 76 | 75 | 11 | 172 | 583 | 710 | 734 | 82 | 220 | 74 | 41 | 169 | 2 | 1 | 50.00% | 13 | 3 | 76.92% | 1 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 38.6% | 10.5% | 86.4% | 96.8 | FUN |
| 14 | Devils | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 9 | 15 | -6 | 1 | 0.125 | 9 | 17 | 26 | 0 | 0 | 38 | 76 | 75 | 11 | 113 | 583 | 710 | 734 | 82 | 148 | 43 | 14 | 86 | 8 | 1 | 12.50% | 7 | 2 | 71.43% | 1 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 38.1% | 8.0% | 89.9% | 97.8 | Unlucky |
| 15 | Guppies | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 11 | 1 | 5 | 0.625 | 12 | 21 | 33 | 0 | 0 | 38 | 76 | 75 | 11 | 104 | 583 | 710 | 734 | 82 | 120 | 50 | 36 | 96 | 10 | 3 | 30.00% | 8 | 3 | 62.50% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 52.9% | 11.5% | 90.8% | 102.4 | FUN |
| 16 | Stingers | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 10 | 17 | 0 | 0 | 38 | 76 | 75 | 11 | 47 | 583 | 710 | 734 | 82 | 52 | 26 | 6 | 75 | 9 | 1 | 11.11% | 3 | 3 | 0.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 66.7% | 14.9% | 88.5% | 103.4 | FUN |
| 17 | Schooners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 38 | 76 | 75 | 11 | 56 | 583 | 710 | 734 | 82 | 70 | 15 | 11 | 54 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 1 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 50.0% | 8.9% | 91.4% | 100.4 | Unlucky |
| 18 | Hydra | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 38 | 76 | 75 | 11 | 62 | 583 | 710 | 734 | 82 | 57 | 11 | 6 | 42 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 46.2% | 9.7% | 87.7% | 97.4 | FUN |
| 19 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 38 | 76 | 75 | 11 | 49 | 583 | 710 | 734 | 82 | 69 | 14 | 24 | 61 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 50.0% | 12.2% | 88.4% | 100.7 | FUN |
| 20 | Spartans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 38 | 76 | 75 | 11 | 56 | 583 | 710 | 734 | 82 | 75 | 30 | 6 | 52 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 38.5% | 8.9% | 89.3% | 98.3 | Unlucky |
| 21 | Northmen | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 38 | 76 | 75 | 11 | 44 | 583 | 710 | 734 | 82 | 73 | 19 | 11 | 44 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 33.3% | 6.8% | 94.5% | 101.3 | DULL |
| 22 | Yeti | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 12 | 15 | -3 | 4 | 0.500 | 12 | 19 | 31 | 0 | 0 | 38 | 76 | 75 | 11 | 91 | 583 | 710 | 734 | 82 | 139 | 42 | 57 | 80 | 8 | 3 | 37.50% | 11 | 3 | 72.73% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 42.9% | 13.2% | 89.2% | 102.4 | FUN |
| 23 | Wild Wings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 38 | 76 | 75 | 11 | 79 | 583 | 710 | 734 | 82 | 64 | 18 | 0 | 45 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 53.8% | 8.9% | 90.6% | 99.5 | Unlucky |
| _Vs Division | 8 | 5 | 11 | 0 | 2 | 1 | 2 | 0 | 20 | 26 | -6 | 19 | 1.188 | 20 | 36 | 56 | 0 | 0 | 38 | 76 | 75 | 11 | 247 | 583 | 710 | 734 | 82 | 281 | 81 | 23 | 186 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 1 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 43.2% | 8.1% | 90.7% | 98.8 | Unlucky | |
| _Vs Conference | 53 | 15 | 24 | 0 | 4 | 3 | 3 | 4 | 139 | 167 | -28 | 51 | 0.481 | 139 | 219 | 358 | 2 | 2 | 38 | 76 | 75 | 11 | 1368 | 583 | 710 | 734 | 82 | 1644 | 545 | 497 | 1248 | 93 | 20 | 21.51% | 116 | 26 | 77.59% | 2 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 45.8% | 10.2% | 89.8% | 100.0 | FUN | |
| _Since Last GM Reset | 77 | 21 | 35 | 0 | 4 | 5 | 4 | 8 | 197 | 248 | -51 | 71 | 0.461 | 197 | 314 | 511 | 2 | 2 | 38 | 76 | 75 | 11 | 2067 | 583 | 710 | 734 | 82 | 2448 | 785 | 638 | 1839 | 134 | 24 | 17.91% | 154 | 37 | 75.97% | 3 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 45.1% | 9.5% | 89.9% | 99.4 | FUN | |
| Total | 77 | 21 | 35 | 0 | 4 | 5 | 4 | 8 | 197 | 248 | -51 | 71 | 0.461 | 197 | 314 | 511 | 2 | 2 | 38 | 76 | 75 | 11 | 2067 | 583 | 710 | 734 | 82 | 2448 | 785 | 638 | 1839 | 134 | 24 | 17.91% | 154 | 37 | 75.97% | 3 | 686 | 1419 | 48.34% | 740 | 1564 | 47.31% | 524 | 1072 | 48.88% | 1673 | 969 | 1637 | 680 | 1385 | 704 | 45.1% | 9.5% | 89.9% | 99.4 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1419 |
| Neutral Zone Start | 1072 |
| Defensive Zone Start | 1564 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1950 |
| Faceoffs Lost | 2105 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 7.6 | 9.57 |
| 2nd Period | 16.8 | 20.31 |
| 3rd Period | 26.3 | 30.68 |
| Overtime | 27.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 1.5 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 168 |
|---|---|
| PP Goal | 24 |
| PK Goal | 3 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 15 | 14 |
| Lost | 17 | 18 |
| Overtime Lost | 6 | 7 |
| PP Attempt | 134 |
|---|---|
| PP Goal | 24 |
| PK Attempt | 154 |
| PK Goal Against | 37 |
| Home | |
|---|---|
| Shots For | 26.8 |
| Shots Against | 31.8 |
| Goals For | 2.6 |
| Goals Against | 3.2 |
| Hits | 23.9 |
| Shots Blocked | 10.2 |
| Pim | 8.3 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,536,400$ | 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 | 71867 | 36325 | |||
| Attendance PCT | 94.56% | 95.59% | 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 |
| 2 | 2847 - 94.91% | 84,559$ | 3,213,230$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,536,400$ | 2,536,400$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,438,845$ | 2,536,400$ | 3,438,845$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 169,117$ | 6 | 22,543$ | 157,801$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 157,801$ | 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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Macgregor Yorke is out for 1 week because of a Groin Injury.
Valentin Timkin is out for 3 weeks because of a Lower Body Injury.
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