| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 28 | 10 | 13 | 5 | 25 |
GM: Alexandre Bouchard Season 5 GM of the year |
League Rank:21st | Arena: Kamloops Arena |
| Conference: Western Conference | Conference Rank:11st | Capacity:5,000 |
| Division: Northwest | Division Rank:4th | Total Player Salaries:3,284,847$ |
| Captain: Jochen Sieger | Last 10: 5-4-0 | |
| Coach: Wolf-Dieter Niemeyer | Home: 6-7-2 | |
| All-Time Record: 197 W - 164 L - 39 OTL | Away: 1-6-3 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Riordan Winstone | 9 | C | 99.00 | 87 | 53 | 98 | 97 | 63 | 75 | 88 | 67 | 96 | 45 | 77 | 82 | 52 | 36 | 46 | 5 | 50 | 76 | 35 | 1,950,000$/1yrs | |||
R.J. Upton | 79 | LW | 98.00 | 90 | 61 | 91 | 61 | 83 | 94 | 61 | 74 | 79 | 87 | 64 | 59 | 94 | 68 | 36 | 0 | 50 | 76 | 35 | 1,100,000$/1yrs | |||
Valery Kolesnikov | 46 | RW | 99.00 | 98 | 45 | 64 | 76 | 68 | 83 | 77 | 85 | 73 | 47 | 77 | 92 | 92 | 75 | 66 | 5 | 50 | 75 | 33 | 1,800,000$/1yrs | |||
Erwin Haberer (R) (A) | 80 | C | 97.00 | 65 | 66 | 86 | 78 | 77 | 76 | 70 | 77 | 72 | 71 | 66 | 86 | 77 | 64 | 74 | 78 | 50 | 75 | 19 | 900,000$/2yrs | |||
Marcel Blazik (R) | 22 | LW | 100.00 | 74 | 61 | 87 | 73 | 67 | 78 | 76 | 93 | 60 | 64 | 92 | 56 | 67 | 74 | 63 | 68 | 50 | 74 | 20 | 900,000$/3yrs | |||
Caspar Reichelt (R) | 71 | RW | 100.00 | 86 | 67 | 72 | 68 | 77 | 73 | 85 | 75 | 58 | 70 | 84 | 65 | 67 | 60 | 69 | 84 | 50 | 74 | 19 | 900,000$/3yrs | |||
Jesse-Petteri Ivari (R) | 10 | RW | 100.00 | 67 | 68 | 78 | 78 | 77 | 75 | 68 | 53 | 69 | 70 | 84 | 90 | 81 | 64 | 68 | 65 | 50 | 74 | 18 | 900,000$/3yrs | |||
Pavlo Benard | 81 | C | 100.00 | 41 | 67 | 80 | 62 | 68 | 89 | 51 | 84 | 65 | 87 | 58 | 92 | 39 | 88 | 54 | 0 | 50 | 73 | 38 | 965,000$/1yrs | |||
Ernest Champlin | 82 | LW | 100.00 | 64 | 42 | 82 | 57 | 93 | 80 | 51 | 83 | 73 | 86 | 62 | 64 | 55 | 66 | 66 | 10 | 50 | 73 | 34 | 700,000$/1yrs | |||
Fyodor Romantsev | 28 | LW | 100.00 | 56 | 38 | 88 | 64 | 49 | 78 | 83 | 90 | 86 | 58 | 82 | 79 | 79 | 66 | 98 | 0 | 50 | 73 | 36 | 1,500,000$/1yrs | |||
Stephan Audet | 0 | RW | 100.00 | 63 | 52 | 96 | 64 | 92 | 92 | 69 | 61 | 89 | 56 | 33 | 83 | 71 | 96 | 71 | 2 | 50 | 70 | 37 | 790,000$/1yrs | |||
Riley Antisin (R) | 85 | C | 100.00 | 27 | 42 | 83 | 66 | 57 | 61 | 66 | 82 | 59 | 92 | 87 | 30 | 76 | 32 | 70 | 49 | 50 | 67 | 25 | 1,427,924$/1yrs | |||
Pasi-Pekka Hoikkala (R) | 60 | D | 100.00 | 69 | 65 | 67 | 69 | 85 | 85 | 76 | 67 | 81 | 74 | 84 | 79 | 74 | 83 | 60 | 60 | 50 | 76 | 18 | 1,000,000$/3yrs | |||
Grayson Jambrosich | 47 | D | 100.00 | 74 | 66 | 73 | 92 | 90 | 66 | 67 | 67 | 25 | 69 | 50 | 76 | 34 | 64 | 64 | 2 | 50 | 74 | 35 | 1,350,000$/1yrs | |||
Ronald Duco | 8 | D | 100.00 | 41 | 64 | 89 | 66 | 49 | 91 | 88 | 93 | 25 | 71 | 73 | 70 | 95 | 80 | 84 | 4 | 50 | 73 | 36 | 965,000$/1yrs | |||
Daryl Goyer (R) | 73 | D | 100.00 | 34 | 52 | 90 | 67 | 58 | 85 | 97 | 82 | 25 | 39 | 59 | 96 | 28 | 93 | 53 | 55 | 50 | 69 | 24 | 775,000$/2yrs | |||
Peyton Fennell | 0 | D | 100.00 | 76 | 35 | 89 | 61 | 67 | 69 | 64 | 88 | 25 | 69 | 34 | 75 | 97 | 70 | 78 | 12 | 50 | 68 | 34 | 715,000$/1yrs | |||
Damien Mosienko (R) | 57 | D | 100.00 | 72 | 33 | 79 | 85 | 27 | 62 | 67 | 69 | 25 | 67 | 40 | 97 | 86 | 94 | 50 | 65 | 50 | 65 | 23 | 1,999,999$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jochen Sieger (C) | 11 | C | 100.00 | 42 | 67 | 81 | 74 | 84 | 91 | 64 | 89 | 86 | 84 | 59 | 80 | 58 | 56 | 97 | 41 | 50 | 77 | 27 | 1,250,000$/4yrs | |||
Jayce Petrie (A) | 83 | RW | 100.00 | 70 | 69 | 94 | 71 | 92 | 82 | 72 | 92 | 80 | 84 | 38 | 73 | 86 | 50 | 60 | 0 | 50 | 77 | 37 | 1,400,000$/1yrs | |||
Sarno Huopio | 25 | LW | 100.00 | 92 | 68 | 66 | 85 | 62 | 64 | 85 | 98 | 70 | 71 | 71 | 44 | 90 | 67 | 56 | 8 | 50 | 73 | 33 | 900,000$/2yrs | |||
Sigvard Ukkola | 64 | RW | 100.00 | 93 | 48 | 86 | 86 | 79 | 79 | 51 | 90 | 90 | 80 | 43 | 41 | 64 | 59 | 59 | 17 | 50 | 72 | 32 | 950,000$/1yrs | |||
Valentin Akerblom (R) | 72 | C | 100.00 | 81 | 47 | 60 | 82 | 41 | 69 | 55 | 64 | 98 | 57 | 51 | 87 | 95 | 68 | 56 | 69 | 50 | 65 | 23 | 820,549$/1yrs | |||
Wilhelm Billberg (R) | 40 | LW | 100.00 | 33 | 34 | 73 | 89 | 46 | 77 | 70 | 72 | 62 | 63 | 56 | 54 | 63 | 35 | 53 | 62 | 50 | 64 | 23 | 800,000$/1yrs | |||
Trevor Marcoux (R) | 56 | D | 100.00 | 36 | 44 | 91 | 81 | 30 | 81 | 60 | 81 | 25 | 33 | 64 | 86 | 86 | 54 | 73 | 62 | 50 | 60 | 22 | 800,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Daulton Gammond | 75 | 100.00 | 69 | 90 | 66 | 84 | 78 | 98 | 79 | 85 | 72 | 75 | 87 | 28 | 86 | 53 | 50 | 80 | 24 | 1,995,000$/2yrs |
Patrick Carlyle | 35 | 96.00 | 71 | 57 | 64 | 92 | 97 | 68 | 81 | 68 | 94 | 71 | 55 | 28 | 46 | 53 | 50 | 76 | 24 | 1,995,000$/1yrs |
| Scratches | ||||||||||||||||||||
Blaine Trevisani | 1 | 100.00 | 68 | 69 | 76 | 77 | 69 | 74 | 87 | 60 | 64 | 78 | 89 | 42 | 54 | 65 | 50 | 72 | 22 | 1,300,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Wolf-Dieter Niemeyer | 95 | 95 | 34 | 45 | 99 | 73 | 70 | GER | 56 | 2 | 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 | PPT | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jochen Sieger | Wolverines (TRI) | C | 25 | 19 | 19 | 38 | 3 | 26 | 20 | 33 | 107 | 32 | 64 | 17.76% | 13 | 21.58 | 0.00 | 4 | 5 | 9 | 1 | 0 | 1 | 36 | 2 | 1 | 50.16% | 0 | 2 | 1.52 | 0 | 2 | 1.35 | ||
| 2 | Marcel Blazik | Wolverines (TRI) | LW | 28 | 9 | 14 | 23 | 5 | 58 | 20 | 34 | 123 | 29 | 85 | 7.32% | 3 | 17.29 | 0.00 | 1 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 45.00% | 0 | 0 | 0.82 | 0 | 0 | 0.70 | ||
| 3 | Erwin Haberer | Wolverines (TRI) | C | 28 | 12 | 6 | 18 | -8 | 78 | 40 | 47 | 85 | 27 | 41 | 14.12% | 24 | 19.55 | 0.00 | 4 | 1 | 5 | 0 | 0 | 0 | 46 | 2 | 1 | 44.19% | 0 | 0 | 0.64 | 0 | 1 | 0.17 | ||
| 4 | Jayce Petrie | Wolverines (TRI) | RW | 25 | 6 | 11 | 17 | 2 | 17 | 15 | 40 | 55 | 25 | 31 | 10.91% | 14 | 14.99 | 0.00 | 0 | 3 | 3 | 0 | 0 | 0 | 18 | 0 | 0 | 75.00% | 0 | 0 | 0.68 | 0 | 0 | 0.64 | ||
| 5 | R.J. Upton | Wolverines (TRI) | LW | 28 | 6 | 10 | 16 | 4 | 12 | 10 | 55 | 44 | 17 | 23 | 13.64% | 7 | 16.39 | 0.00 | 3 | 3 | 6 | 0 | 0 | 0 | 28 | 3 | 0 | 47.37% | 0 | 0 | 0.57 | 0 | 0 | 0.55 | ||
| 6 | Caspar Reichelt | Wolverines (TRI) | RW | 28 | 5 | 8 | 13 | 4 | 32 | 10 | 70 | 60 | 15 | 26 | 8.33% | 11 | 15.89 | 0.00 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 33.33% | 0 | 0 | 0.46 | 0 | 0 | 0.42 | ||
| 7 | Sarno Huopio | Wolverines (TRI) | LW | 25 | 2 | 10 | 12 | -9 | 34 | 20 | 46 | 56 | 34 | 40 | 3.57% | 7 | 13.59 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 33.33% | 0 | 0 | 0.48 | 0 | 0 | 0.24 | ||
| 8 | Jesse-Petteri Ivari | Wolverines (TRI) | RW | 28 | 3 | 9 | 12 | -11 | 22 | 10 | 51 | 34 | 14 | 28 | 8.82% | 7 | 19.11 | 0.00 | 1 | 4 | 5 | 0 | 0 | 0 | 28 | 0 | 0 | 50.00% | 0 | 0 | 0.43 | 1 | 1 | 0.17 | ||
| 9 | Fyodor Romantsev | Wolverines (TRI) | LW | 28 | 6 | 3 | 9 | 1 | 0 | 0 | 33 | 39 | 17 | 22 | 15.38% | 2 | 11.60 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 75.00% | 0 | 0 | 0.32 | 1 | 1 | 0.39 | ||
| 10 | Grayson Jambrosich | Wolverines (TRI) | D | 28 | 1 | 8 | 9 | -3 | 63 | 35 | 49 | 37 | 18 | 18 | 2.70% | 37 | 22.88 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 1 | 0.00% | 0 | 0 | 0.32 | 0 | 0 | -0.03 | ||
| 11 | Pasi-Pekka Hoikkala | Wolverines (TRI) | D | 28 | 1 | 7 | 8 | -10 | 67 | 35 | 64 | 41 | 22 | 21 | 2.44% | 32 | 25.84 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 45 | 0 | 1 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | -0.14 | ||
| 12 | Pavlo Benard | Wolverines (TRI) | C | 28 | 3 | 4 | 7 | 1 | 39 | 25 | 19 | 43 | 17 | 29 | 6.98% | 8 | 13.56 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 44.90% | 0 | 0 | 0.25 | 0 | 0 | 0.08 | ||
| 13 | Riordan Winstone | Wolverines (TRI) | C | 9 | 3 | 2 | 5 | 3 | 4 | 0 | 10 | 26 | 3 | 13 | 11.54% | 3 | 14.83 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 17 | 0 | 0 | 49.47% | 0 | 0 | 0.56 | 0 | 1 | 0.72 | ||
| 14 | Damien Mosienko | Wolverines (TRI) | D | 28 | 0 | 5 | 5 | 6 | 12 | 0 | 25 | 24 | 6 | 9 | 0.00% | 14 | 15.09 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.21 | ||
| 15 | Riley Antisin | Wolverines (TRI) | C | 15 | 1 | 3 | 4 | -4 | 0 | 0 | 3 | 18 | 7 | 14 | 5.56% | 2 | 8.46 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 35.19% | 0 | 0 | 0.27 | 0 | 0 | 0.21 | ||
| 16 | Daryl Goyer | Wolverines (TRI) | D | 28 | 0 | 4 | 4 | 0 | 5 | 5 | 13 | 34 | 13 | 8 | 0.00% | 34 | 21.64 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.21 | ||
| 17 | Sigvard Ukkola | Wolverines (TRI) | RW | 18 | 1 | 2 | 3 | -2 | 7 | 5 | 25 | 24 | 3 | 14 | 4.17% | 1 | 10.27 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 0.17 | 0 | 0 | 0.16 | ||
| 18 | Ronald Duco | Wolverines (TRI) | D | 15 | 0 | 2 | 2 | 0 | 2 | 0 | 11 | 28 | 9 | 7 | 0.00% | 14 | 22.88 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.25 | ||
| 19 | Valery Kolesnikov | Wolverines (TRI) | RW | 10 | 1 | 1 | 2 | 2 | 2 | 0 | 3 | 14 | 0 | 11 | 7.14% | 1 | 6.96 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 54.55% | 0 | 0 | 0.20 | 0 | 0 | 0.31 | ||
| 20 | Trevor Marcoux | Wolverines (TRI) | D | 18 | 0 | 2 | 2 | 0 | 12 | 10 | 1 | 15 | 4 | 8 | 0.00% | 5 | 14.51 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.03 | ||
| 21 | Peyton Fennell | Wolverines (TRI) | D | 10 | 0 | 1 | 1 | 5 | 0 | 0 | 3 | 2 | 0 | 1 | 0.00% | 2 | 7.95 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | 0.27 | ||
| 22 | Stephan Audet | Wolverines (TRI) | RW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 0 | 2 | 0.00% | 0 | 7.18 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | ||
| 23 | Ernest Champlin | Wolverines (TRI) | LW | 10 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 2 | 1 | 2 | 0.00% | 0 | 2.74 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | ||
| Team Total or Average | 491 | 79 | 131 | 210 | -13 | 492 | 260 | 642 | 912 | 313 | 517 | 8.66% | 241 | 16.43 | 16 | 28 | 44 | 495 | 1 | 0 | 1 | 439 | 9 | 6 | 46.79% | 1731 | 165 | 188 | 0 | 2 | 0.52 | 2 | 6 |
| 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) | 12 | 5 | 6 | 1 | 0.918 | 2.62 | 665 | 0 | 0 | 29 | 355 | 164 | 1 | 0 | 0.000 | 0 | 10 | 18 | 0 | 0 | 1 |
| 2 | Daulton Gammond | Wolverines (TRI) | 18 | 5 | 7 | 4 | 0.893 | 3.45 | 1026 | 0 | 1 | 59 | 553 | 231 | 3 | 0 | 0.571 | 7 | 18 | 10 | 1 | 1 | 0 |
| Team Total or Average | 30 | 10 | 13 | 5 | 0.903 | 3.12 | 1691 | 0 | 1 | 88 | 908 | 395 | 4 | 0 | 0.571 | 7 | 28 | 28 | 1 | 1 | 1 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Blaine Trevisani | G | 22 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Caspar Reichelt | RW | 19 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Damien Mosienko | D | 23 | 1,999,999$ | 1,999,999$ | |||||||
Daryl Goyer | D | 24 | 775,000$ | 775,000$ | 775,000$ | ||||||
Daulton Gammond | G | 24 | 1,995,000$ | 1,995,000$ | 1,995,000$ | ||||||
Ernest Champlin ![]() | LW | 34 | 700,000$ | 700,000$ | |||||||
Erwin Haberer | C | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Fyodor Romantsev ![]() | LW | 36 | 1,500,000$ | 1,500,000$ | |||||||
Grayson Jambrosich ![]() | D | 35 | 1,350,000$ | 1,350,000$ | |||||||
Jayce Petrie ![]() | RW | 37 | 1,400,000$ | 1,400,000$ | |||||||
Jesse-Petteri Ivari | RW | 18 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Jochen Sieger ![]() | C | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||
Marcel Blazik | LW | 20 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Pasi-Pekka Hoikkala | D | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Patrick Carlyle | G | 24 | 1,995,000$ | 1,995,000$ | |||||||
Pavlo Benard ![]() | C | 38 | 965,000$ | 965,000$ | |||||||
Peyton Fennell ![]() | D | 34 | 715,000$ | 715,000$ | |||||||
R.J. Upton ![]() | LW | 35 | 1,100,000$ | 1,100,000$ | |||||||
Riley Antisin ![]() | C | 25 | 1,427,924$ | 1,427,924$ | |||||||
Riordan Winstone ![]() | C | 35 | 1,950,000$ | 1,950,000$ | |||||||
Ronald Duco ![]() | D | 36 | 965,000$ | 965,000$ | |||||||
Sarno Huopio ![]() | LW | 33 | 900,000$ | 900,000$ | 900,000$ | ||||||
Sigvard Ukkola ![]() | RW | 32 | 950,000$ | 950,000$ | |||||||
Stephan Audet ![]() | RW | 37 | 790,000$ | 790,000$ | |||||||
Trevor Marcoux | D | 22 | 800,000$ | 800,000$ | |||||||
Valentin Akerblom | C | 23 | 820,549$ | 820,549$ | |||||||
Valery Kolesnikov ![]() | RW | 33 | 1,800,000$ | 1,800,000$ | |||||||
Wilhelm Billberg | LW | 23 | 800,000$ | 800,000$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jacks | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 7 | -2 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 19 | 32 | 28 | 4 | 77 | 289 | 334 | 293 | 28 | 69 | 35 | 25 | 47 | 7 | 2 | 28.57% | 5 | 2 | 60.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 37.5% | 6.5% | 89.9% | 96.3 | Unlucky |
| 2 | Kings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 19 | 32 | 28 | 4 | 29 | 289 | 334 | 293 | 28 | 42 | 14 | 14 | 19 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 50.0% | 6.9% | 92.9% | 99.8 | DULL |
| 3 | Comets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 19 | 32 | 28 | 4 | 32 | 289 | 334 | 293 | 28 | 38 | 11 | 16 | 25 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 25.0% | 3.1% | 89.5% | 92.6 | Unlucky |
| 4 | Bulldogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 19 | 32 | 28 | 4 | 43 | 289 | 334 | 293 | 28 | 37 | 7 | 11 | 19 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 50.0% | 4.7% | 91.9% | 96.5 | DULL |
| 5 | Rock | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 19 | 32 | 28 | 4 | 65 | 289 | 334 | 293 | 28 | 57 | 22 | 38 | 45 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 1 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 38.5% | 7.7% | 82.5% | 90.1 | Unlucky |
| 6 | Auroras | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0.333 | 10 | 15 | 25 | 0 | 0 | 19 | 32 | 28 | 4 | 83 | 289 | 334 | 293 | 28 | 80 | 29 | 54 | 60 | 15 | 3 | 20.00% | 7 | 2 | 71.43% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 46.7% | 12.0% | 87.5% | 99.5 | FUN |
| 7 | Hornets | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 19 | 32 | 28 | 4 | 53 | 289 | 334 | 293 | 28 | 42 | 16 | 8 | 58 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 62.5% | 9.4% | 90.5% | 99.9 | FUN |
| 8 | Wolfpack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 15 | 24 | 0 | 1 | 19 | 32 | 28 | 4 | 58 | 289 | 334 | 293 | 28 | 66 | 17 | 93 | 50 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 61.5% | 15.5% | 90.9% | 106.4 | FUN |
| 9 | Vipers | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0.250 | 6 | 8 | 14 | 0 | 0 | 19 | 32 | 28 | 4 | 74 | 289 | 334 | 293 | 28 | 71 | 8 | 75 | 42 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 50.0% | 8.1% | 88.7% | 96.8 | Unlucky |
| 10 | Devils | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 19 | 32 | 28 | 4 | 37 | 289 | 334 | 293 | 28 | 37 | 9 | 15 | 32 | 6 | 4 | 66.67% | 5 | 2 | 60.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 40.0% | 16.2% | 86.5% | 102.7 | FUN |
| 11 | Guppies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 19 | 32 | 28 | 4 | 39 | 289 | 334 | 293 | 28 | 38 | 7 | 4 | 13 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 66.7% | 10.3% | 94.7% | 105.0 | LUCKY |
| 12 | Stingers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 19 | 32 | 28 | 4 | 39 | 289 | 334 | 293 | 28 | 21 | 5 | 12 | 26 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 66.7% | 5.1% | 95.2% | 100.4 | DULL |
| 13 | Hydra | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 19 | 32 | 28 | 4 | 66 | 289 | 334 | 293 | 28 | 63 | 19 | 21 | 45 | 5 | 2 | 40.00% | 8 | 1 | 87.50% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 16.7% | 4.5% | 90.5% | 95.0 | Unlucky |
| 14 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 19 | 32 | 28 | 4 | 66 | 289 | 334 | 293 | 28 | 77 | 22 | 68 | 50 | 5 | 2 | 40.00% | 4 | 2 | 50.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 44.4% | 9.1% | 90.9% | 100.0 | FUN |
| 15 | Spartans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 19 | 32 | 28 | 4 | 33 | 289 | 334 | 293 | 28 | 35 | 5 | 12 | 32 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 42.9% | 9.1% | 88.6% | 97.7 | FUN |
| 16 | Northmen | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 19 | 32 | 28 | 4 | 35 | 289 | 334 | 293 | 28 | 42 | 11 | 17 | 31 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 75.0% | 11.4% | 97.6% | 109.0 | LUCKY |
| 17 | Yeti | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 19 | 32 | 28 | 4 | 73 | 289 | 334 | 293 | 28 | 61 | 18 | 18 | 41 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 55.6% | 6.8% | 91.8% | 98.7 | DULL |
| 18 | Drillers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 19 | 32 | 28 | 4 | 36 | 289 | 334 | 293 | 28 | 32 | 2 | 4 | 21 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 57.1% | 11.1% | 90.6% | 101.7 | FUN |
| _Vs Division | 8 | 2 | 3 | 0 | 1 | 1 | 0 | 1 | 23 | 31 | -8 | 8 | 0.500 | 23 | 36 | 59 | 0 | 0 | 19 | 32 | 28 | 4 | 251 | 289 | 334 | 293 | 28 | 250 | 73 | 181 | 166 | 20 | 3 | 15.00% | 18 | 7 | 61.11% | 1 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 45.5% | 9.2% | 87.6% | 96.8 | FUN | |
| _Vs Conference | 19 | 6 | 7 | 0 | 1 | 3 | 1 | 1 | 62 | 60 | 2 | 20 | 0.526 | 62 | 98 | 160 | 0 | 1 | 19 | 32 | 28 | 4 | 625 | 289 | 334 | 293 | 28 | 615 | 177 | 378 | 433 | 51 | 14 | 27.45% | 49 | 15 | 69.39% | 0 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 51.6% | 9.9% | 90.2% | 100.2 | FUN | |
| _Since Last GM Reset | 28 | 7 | 13 | 0 | 2 | 4 | 1 | 1 | 82 | 89 | -7 | 25 | 0.446 | 82 | 136 | 218 | 0 | 1 | 19 | 32 | 28 | 4 | 938 | 289 | 334 | 293 | 28 | 908 | 257 | 505 | 656 | 67 | 17 | 25.37% | 70 | 20 | 71.43% | 1 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 48.5% | 8.7% | 90.2% | 98.9 | Unlucky | |
| Total | 28 | 7 | 13 | 0 | 2 | 4 | 1 | 1 | 82 | 89 | -7 | 25 | 0.446 | 82 | 136 | 218 | 0 | 1 | 19 | 32 | 28 | 4 | 938 | 289 | 334 | 293 | 28 | 908 | 257 | 505 | 656 | 67 | 17 | 25.37% | 70 | 20 | 71.43% | 1 | 314 | 622 | 50.48% | 282 | 657 | 42.92% | 214 | 427 | 50.12% | 608 | 356 | 598 | 247 | 489 | 242 | 48.5% | 8.7% | 90.2% | 98.9 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 622 |
| Neutral Zone Start | 427 |
| Defensive Zone Start | 657 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 810 |
| Faceoffs Lost | 896 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.3 | 9.57 |
| 2nd Period | 22.3 | 20.31 |
| 3rd Period | 32.7 | 30.68 |
| Overtime | 33.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 64 |
|---|---|
| PP Goal | 17 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 7 | 3 |
| Lost | 7 | 6 |
| Overtime Lost | 2 | 3 |
| PP Attempt | 67 |
|---|---|
| PP Goal | 17 |
| PK Attempt | 70 |
| PK Goal Against | 20 |
| Home | |
|---|---|
| Shots For | 33.5 |
| Shots Against | 32.4 |
| Goals For | 2.9 |
| Goals Against | 3.2 |
| Hits | 23.4 |
| Shots Blocked | 9.2 |
| Pim | 18.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,284,847$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Kamloops | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 44487 | 29073 | |||
| Attendance PCT | 92.68% | 90.85% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 24 | 4598 - 91.95% | 161,943$ | 2,591,083$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,284,847$ | 3,284,847$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,321,707$ | 3,284,847$ | 1,055,041$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 3,886,624$ | 98 | 27,788$ | 2,723,224$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,723,224$ | 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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