| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 54 | 22 | 26 | 6 | 50 |
GM: Alexandre Bouchard Season 5 GM of the year |
League Rank:23rd | Arena: Kamloops Arena |
| Conference: Western Conference | Conference Rank:12nd | Capacity:5,000 |
| Division: Northwest | Division Rank:5th | Total Player Salaries:5,044,847$ |
| Captain: Jochen Sieger | Last 10: 6-4-0 | |
| Coach: Wolf-Dieter Niemeyer | Home: 9-12-2 | |
| All-Time Record: 197 W - 164 L - 39 OTL | Away: 6-14-4 | |
| 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 (C) | 11 | C | 96.00 | 42 | 67 | 81 | 74 | 84 | 91 | 64 | 89 | 86 | 84 | 59 | 80 | 58 | 56 | 97 | 41 | 50 | 77 | 27 | 1,250,000$/4yrs | |||
Riordan Winstone | 9 | C | 96.00 | 87 | 53 | 98 | 97 | 63 | 75 | 88 | 67 | 96 | 45 | 77 | 82 | 52 | 36 | 46 | 5 | 50 | 76 | 35 | 1,950,000$/1yrs | |||
R.J. Upton | 79 | LW | 100.00 | 90 | 61 | 91 | 61 | 83 | 94 | 61 | 74 | 79 | 87 | 64 | 59 | 94 | 68 | 36 | 0 | 50 | 76 | 35 | 1,100,000$/1yrs | |||
Valery Kolesnikov | 46 | RW | 100.00 | 98 | 45 | 64 | 76 | 68 | 83 | 77 | 85 | 73 | 47 | 77 | 92 | 92 | 75 | 66 | 5 | 50 | 75 | 33 | 1,800,000$/1yrs | |||
Erwin Haberer (R) (A) | 80 | C | 98.00 | 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 | 99.00 | 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 | |||
Ernest Champlin | 82 | LW | 98.00 | 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 | |||
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 | |||
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$/3yrs | |||
Grayson Jambrosich | 47 | D | 98.00 | 74 | 66 | 73 | 92 | 90 | 66 | 67 | 67 | 25 | 69 | 50 | 76 | 34 | 64 | 64 | 2 | 50 | 74 | 35 | 1,350,000$/1yrs | |||
Ronald Duco | 8 | D | 99.00 | 41 | 64 | 89 | 66 | 49 | 91 | 88 | 93 | 25 | 71 | 73 | 70 | 95 | 80 | 84 | 4 | 50 | 73 | 36 | 965,000$/1yrs | |||
Zackary Rothschild | 23 | D | 100.00 | 44 | 49 | 91 | 88 | 41 | 94 | 65 | 77 | 25 | 80 | 54 | 97 | 41 | 69 | 97 | 24 | 50 | 71 | 30 | 1,900,000$/3yrs | |||
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$/2yrs | |||
Damien Mosienko (R) | 57 | D | 100.00 | 72 | 33 | 79 | 85 | 27 | 62 | 67 | 69 | 25 | 67 | 40 | 97 | 86 | 94 | 50 | 65 | 50 | 65 | 23 | 1,999,999$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
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$/1yrs | |||
Stephan Audet | 0 | RW | 100.00 | 63 | 52 | 96 | 64 | 92 | 92 | 69 | 61 | 89 | 56 | 33 | 83 | 71 | 96 | 71 | 2 | 50 | 70 | 37 | 790,000$/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$/1yrs | |||
Valentin Akerblom (R) | 72 | C | 100.00 | 81 | 47 | 60 | 82 | 41 | 69 | 55 | 64 | 98 | 57 | 51 | 87 | 95 | 68 | 56 | 69 | 50 | 65 | 23 | 820,549$/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$/1yrs | |||
Peyton Fennell | 0 | D | 97.96 | 76 | 35 | 89 | 61 | 67 | 69 | 64 | 88 | 25 | 69 | 34 | 75 | 97 | 70 | 78 | 12 | 50 | 68 | 34 | 715,000$/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 | 99.00 | 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 | 47 | 29 | 31 | 60 | 8 | 60 | 50 | 68 | 181 | 61 | 116 | 16.02% | 24 | 21.24 | 0.00 | 5 | 5 | 10 | 1 | 0 | 1 | 54 | 3 | 1 | 50.92% | 0 | 2 | 1.28 | 1 | 4 | 1.13 | ||
| 2 | Marcel Blazik | Wolverines (TRI) | LW | 54 | 20 | 20 | 40 | 6 | 79 | 35 | 71 | 220 | 54 | 153 | 9.09% | 10 | 17.17 | 0.00 | 1 | 6 | 7 | 0 | 0 | 0 | 0 | 3 | 0 | 44.19% | 0 | 1 | 0.74 | 0 | 0 | 0.72 | ||
| 3 | Erwin Haberer | Wolverines (TRI) | C | 54 | 15 | 21 | 36 | -11 | 89 | 45 | 88 | 146 | 46 | 71 | 10.27% | 32 | 18.00 | 0.00 | 4 | 8 | 12 | 0 | 0 | 0 | 75 | 2 | 2 | 43.56% | 0 | 0 | 0.67 | 0 | 3 | 0.36 | ||
| 4 | R.J. Upton | Wolverines (TRI) | LW | 54 | 13 | 20 | 33 | 7 | 36 | 20 | 105 | 115 | 43 | 57 | 11.30% | 19 | 17.63 | 0.00 | 3 | 4 | 7 | 0 | 0 | 0 | 51 | 4 | 1 | 50.00% | 1 | 0 | 0.61 | 1 | 2 | 0.60 | ||
| 5 | Caspar Reichelt | Wolverines (TRI) | RW | 54 | 10 | 15 | 25 | 4 | 69 | 25 | 133 | 109 | 30 | 56 | 9.17% | 28 | 16.20 | 0.00 | 3 | 3 | 6 | 0 | 0 | 0 | 8 | 1 | 2 | 39.29% | 0 | 0 | 0.46 | 2 | 3 | 0.37 | ||
| 6 | Fyodor Romantsev | Wolverines (TRI) | LW | 54 | 11 | 8 | 19 | 4 | 4 | 0 | 75 | 90 | 29 | 44 | 12.22% | 9 | 13.12 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 2 | 1 | 50.00% | 0 | 0 | 0.35 | 1 | 2 | 0.44 | ||
| 7 | Grayson Jambrosich | Wolverines (TRI) | D | 54 | 3 | 15 | 18 | 5 | 80 | 40 | 96 | 61 | 31 | 28 | 4.92% | 71 | 23.63 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0 | 2 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.17 | ||
| 8 | Valery Kolesnikov | Wolverines (TRI) | RW | 36 | 11 | 5 | 16 | 8 | 31 | 5 | 56 | 79 | 20 | 45 | 13.92% | 13 | 14.17 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 29 | 1 | 0 | 35.29% | 0 | 0 | 0.44 | 0 | 3 | 0.48 | ||
| 9 | Pasi-Pekka Hoikkala | Wolverines (TRI) | D | 50 | 1 | 14 | 15 | -11 | 104 | 60 | 118 | 65 | 30 | 33 | 1.54% | 56 | 25.64 | 0.00 | 1 | 2 | 3 | 0 | 0 | 0 | 76 | 0 | 1 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | -0.05 | ||
| 10 | Jesse-Petteri Ivari | Wolverines (TRI) | RW | 54 | 5 | 10 | 15 | -11 | 58 | 30 | 97 | 61 | 20 | 46 | 8.20% | 20 | 18.07 | 0.00 | 3 | 4 | 7 | 0 | 0 | 0 | 28 | 0 | 0 | 48.21% | 0 | 0 | 0.28 | 1 | 1 | 0.07 | ||
| 11 | Riordan Winstone | Wolverines (TRI) | C | 30 | 6 | 8 | 14 | 2 | 4 | 0 | 46 | 79 | 19 | 47 | 7.59% | 11 | 17.83 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 29 | 0 | 0 | 48.81% | 0 | 0 | 0.47 | 0 | 3 | 0.58 | ||
| 12 | Sarno Huopio | Wolverines (TRI) | LW | 44 | 2 | 10 | 12 | -9 | 34 | 20 | 47 | 56 | 34 | 40 | 3.57% | 7 | 7.85 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 33.33% | 0 | 0 | 0.27 | 0 | 0 | 0.14 | ||
| 13 | Ernest Champlin | Wolverines (TRI) | LW | 36 | 4 | 6 | 10 | -8 | 2 | 0 | 38 | 34 | 8 | 19 | 11.76% | 7 | 9.71 | 0.00 | 1 | 3 | 4 | 0 | 0 | 0 | 21 | 0 | 0 | 51.72% | 0 | 0 | 0.28 | 0 | 0 | 0.21 | ||
| 14 | Daryl Goyer | Wolverines (TRI) | D | 54 | 3 | 7 | 10 | 0 | 42 | 20 | 25 | 59 | 30 | 23 | 5.08% | 67 | 22.31 | 0.00 | 2 | 1 | 3 | 0 | 0 | 0 | 96 | 0 | 0 | 0.00% | 0 | 0 | 0.19 | 0 | 0 | 0.13 | ||
| 15 | Pavlo Benard | Wolverines (TRI) | C | 42 | 3 | 5 | 8 | 0 | 39 | 25 | 20 | 47 | 18 | 31 | 6.38% | 8 | 9.94 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 44.02% | 0 | 0 | 0.19 | 0 | 0 | 0.07 | ||
| 16 | Ronald Duco | Wolverines (TRI) | D | 38 | 1 | 6 | 7 | -1 | 12 | 10 | 30 | 56 | 19 | 16 | 1.79% | 32 | 21.44 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.21 | ||
| 17 | Peyton Fennell | Wolverines (TRI) | D | 30 | 0 | 6 | 6 | 5 | 2 | 0 | 15 | 9 | 4 | 8 | 0.00% | 20 | 13.04 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.23 | ||
| 18 | Damien Mosienko | Wolverines (TRI) | D | 51 | 0 | 6 | 6 | 4 | 24 | 0 | 38 | 28 | 10 | 16 | 0.00% | 25 | 12.80 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | 0.09 | ||
| 19 | Riley Antisin | Wolverines (TRI) | C | 17 | 1 | 3 | 4 | -5 | 0 | 0 | 3 | 21 | 8 | 16 | 4.76% | 2 | 8.48 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 32.76% | 0 | 0 | 0.24 | 0 | 0 | 0.18 | ||
| 20 | Sigvard Ukkola | Wolverines (TRI) | RW | 20 | 1 | 2 | 3 | -2 | 7 | 5 | 27 | 25 | 3 | 14 | 4.00% | 1 | 9.72 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14.29% | 0 | 0 | 0.15 | 0 | 0 | 0.15 | ||
| 21 | 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 | ||
| 22 | Stephan Audet | Wolverines (TRI) | RW | 5 | 0 | 0 | 0 | -2 | 0 | 0 | 5 | 3 | 0 | 2 | 0.00% | 0 | 7.72 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | ||
| 23 | Zackary Rothschild | Wolverines (TRI) | D | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 8.96 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | ||
| Team Total or Average | 902 | 139 | 220 | 359 | -7 | 788 | 400 | 1202 | 1560 | 521 | 889 | 8.91% | 468 | 16.50 | 25 | 39 | 64 | 773 | 1 | 0 | 1 | 727 | 17 | 10 | 46.65% | 2984 | 298 | 369 | 1 | 3 | 0.48 | 6 | 21 |
| 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 | Daulton Gammond | Wolverines (TRI) | 36 | 14 | 13 | 4 | 0.901 | 3.02 | 1984 | 0 | 2 | 100 | 1015 | 444 | 3 | 0 | 0.769 | 13 | 34 | 20 | 4 | 2 | 2 |
| 2 | Patrick Carlyle | Wolverines (TRI) | 23 | 8 | 12 | 2 | 0.904 | 2.96 | 1257 | 0 | 0 | 62 | 647 | 313 | 1 | 0 | 0.875 | 8 | 20 | 29 | 0 | 0 | 1 |
| 3 | Blaine Trevisani | Wolverines (TRI) | 1 | 0 | 1 | 0 | 0.828 | 9.09 | 33 | 0 | 0 | 5 | 29 | 14 | 0 | 0 | 0.000 | 0 | 0 | 5 | 0 | 0 | 0 |
| Team Total or Average | 60 | 22 | 26 | 6 | 0.901 | 3.06 | 3274 | 0 | 2 | 167 | 1691 | 771 | 4 | 0 | 0.810 | 21 | 54 | 54 | 4 | 2 | 3 |
| 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$ | |||||||
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$ | |||||||
Zackary Rothschild ![]() | D | 30 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ |
| 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 | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 6 | 11 | -5 | 2 | 0.333 | 6 | 8 | 14 | 0 | 0 | 35 | 61 | 55 | 8 | 101 | 503 | 595 | 578 | 55 | 94 | 46 | 32 | 68 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 30.8% | 5.9% | 88.3% | 94.2 | Unlucky |
| 2 | Rampage | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 35 | 61 | 55 | 8 | 22 | 503 | 595 | 578 | 55 | 29 | 7 | 37 | 28 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 50.0% | 9.1% | 82.8% | 91.8 | FUN |
| 3 | Kings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 35 | 61 | 55 | 8 | 61 | 503 | 595 | 578 | 55 | 72 | 24 | 18 | 58 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 66.7% | 9.8% | 94.4% | 104.3 | LUCKY |
| 4 | Comets | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 35 | 61 | 55 | 8 | 60 | 503 | 595 | 578 | 55 | 74 | 19 | 28 | 66 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 44.4% | 8.3% | 90.5% | 98.9 | Unlucky |
| 5 | Crusaders | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 35 | 61 | 55 | 8 | 66 | 503 | 595 | 578 | 55 | 45 | 16 | 15 | 38 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 33.3% | 6.1% | 84.4% | 90.5 | Unlucky |
| 6 | Bulldogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 35 | 61 | 55 | 8 | 70 | 503 | 595 | 578 | 55 | 68 | 15 | 32 | 51 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 44.4% | 7.1% | 88.2% | 95.4 | Unlucky |
| 7 | Rock | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 35 | 61 | 55 | 8 | 65 | 503 | 595 | 578 | 55 | 57 | 22 | 38 | 45 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 1 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 38.5% | 7.7% | 82.5% | 90.1 | Unlucky |
| 8 | Auroras | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 13 | 15 | -2 | 2 | 0.250 | 13 | 20 | 33 | 0 | 0 | 35 | 61 | 55 | 8 | 115 | 503 | 595 | 578 | 55 | 111 | 37 | 68 | 90 | 18 | 4 | 22.22% | 9 | 3 | 66.67% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 42.9% | 11.3% | 86.5% | 97.8 | FUN |
| 9 | Jazz | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 7 | 13 | 0 | 0 | 35 | 61 | 55 | 8 | 64 | 503 | 595 | 578 | 55 | 44 | 22 | 13 | 53 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 60.0% | 9.4% | 90.9% | 100.3 | FUN |
| 10 | Hornets | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 12 | 15 | -3 | 4 | 0.500 | 12 | 16 | 28 | 0 | 0 | 35 | 61 | 55 | 8 | 127 | 503 | 595 | 578 | 55 | 106 | 33 | 12 | 115 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 46.2% | 9.4% | 85.8% | 95.3 | FUN |
| 11 | Wolfpack | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 15 | 24 | 0 | 1 | 35 | 61 | 55 | 8 | 58 | 503 | 595 | 578 | 55 | 66 | 17 | 93 | 50 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 61.5% | 15.5% | 90.9% | 106.4 | FUN |
| 12 | Vipers | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 9 | 0 | 3 | 0.500 | 9 | 13 | 22 | 0 | 0 | 35 | 61 | 55 | 8 | 102 | 503 | 595 | 578 | 55 | 112 | 22 | 89 | 63 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 56.3% | 8.8% | 92.0% | 100.8 | DULL |
| 13 | Devils | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 16 | 26 | 0 | 0 | 35 | 61 | 55 | 8 | 101 | 503 | 595 | 578 | 55 | 113 | 24 | 33 | 87 | 11 | 5 | 45.45% | 9 | 5 | 44.44% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 41.7% | 9.9% | 89.4% | 99.3 | FUN |
| 14 | Guppies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 35 | 61 | 55 | 8 | 39 | 503 | 595 | 578 | 55 | 38 | 7 | 4 | 13 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 66.7% | 10.3% | 94.7% | 105.0 | LUCKY |
| 15 | Stingers | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 35 | 61 | 55 | 8 | 75 | 503 | 595 | 578 | 55 | 34 | 11 | 14 | 43 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 83.3% | 6.7% | 97.1% | 103.7 | DULL |
| 16 | Schooners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 35 | 61 | 55 | 8 | 28 | 503 | 595 | 578 | 55 | 26 | 17 | 11 | 18 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 71.4% | 17.9% | 88.5% | 106.3 | FUN |
| 17 | Hydra | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 35 | 61 | 55 | 8 | 66 | 503 | 595 | 578 | 55 | 63 | 19 | 21 | 45 | 5 | 2 | 40.00% | 8 | 1 | 87.50% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 16.7% | 4.5% | 90.5% | 95.0 | Unlucky |
| 18 | Phantoms | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 13 | 22 | 0 | 0 | 35 | 61 | 55 | 8 | 92 | 503 | 595 | 578 | 55 | 117 | 36 | 72 | 75 | 7 | 2 | 28.57% | 6 | 2 | 66.67% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 50.0% | 9.8% | 92.3% | 102.1 | LUCKY |
| 19 | Spartans | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 35 | 61 | 55 | 8 | 62 | 503 | 595 | 578 | 55 | 66 | 17 | 42 | 55 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 54.5% | 9.7% | 90.9% | 100.6 | FUN |
| 20 | Northmen | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 35 | 61 | 55 | 8 | 35 | 503 | 595 | 578 | 55 | 42 | 11 | 17 | 31 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 75.0% | 11.4% | 97.6% | 109.0 | LUCKY |
| 21 | Yeti | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 8 | 8 | 6 | 0.750 | 16 | 26 | 42 | 0 | 0 | 35 | 61 | 55 | 8 | 131 | 503 | 595 | 578 | 55 | 122 | 45 | 39 | 81 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 68.2% | 12.2% | 93.4% | 105.7 | LUCKY |
| 22 | Wild Wings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 35 | 61 | 55 | 8 | 27 | 503 | 595 | 578 | 55 | 29 | 11 | 34 | 21 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 50.0% | 3.7% | 89.7% | 93.4 | Unlucky |
| 23 | Drillers | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 35 | 61 | 55 | 8 | 95 | 503 | 595 | 578 | 55 | 97 | 27 | 23 | 66 | 3 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 53.3% | 8.4% | 91.8% | 100.2 | DULL |
| 24 | Swamp Puppies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 35 | 61 | 55 | 8 | 48 | 503 | 595 | 578 | 55 | 66 | 19 | 48 | 48 | 6 | 3 | 50.00% | 4 | 2 | 50.00% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 22.2% | 10.4% | 86.4% | 96.8 | FUN |
| _Vs Division | 11 | 5 | 6 | 0 | 1 | 1 | 0 | 1 | 33 | 38 | -5 | 14 | 0.636 | 33 | 53 | 86 | 0 | 0 | 35 | 61 | 55 | 8 | 343 | 503 | 595 | 578 | 55 | 352 | 105 | 213 | 256 | 24 | 4 | 16.67% | 24 | 8 | 66.67% | 1 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 49.2% | 9.6% | 89.2% | 98.8 | FUN | |
| _Vs Conference | 32 | 11 | 13 | 0 | 1 | 3 | 2 | 2 | 102 | 99 | 3 | 33 | 0.516 | 102 | 158 | 260 | 0 | 1 | 35 | 61 | 55 | 8 | 1022 | 503 | 595 | 578 | 55 | 1048 | 318 | 483 | 766 | 69 | 17 | 24.64% | 74 | 20 | 72.97% | 0 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 51.8% | 10.0% | 90.6% | 100.5 | FUN | |
| _Since Last GM Reset | 54 | 15 | 26 | 0 | 2 | 4 | 5 | 2 | 158 | 169 | -11 | 50 | 0.463 | 158 | 247 | 405 | 0 | 2 | 35 | 61 | 55 | 8 | 1710 | 503 | 595 | 578 | 55 | 1691 | 524 | 833 | 1308 | 110 | 26 | 23.64% | 129 | 38 | 70.54% | 1 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 50.2% | 9.2% | 90.0% | 99.2 | FUN | |
| Total | 54 | 15 | 26 | 0 | 2 | 4 | 5 | 2 | 158 | 169 | -11 | 50 | 0.463 | 158 | 247 | 405 | 0 | 2 | 35 | 61 | 55 | 8 | 1710 | 503 | 595 | 578 | 55 | 1691 | 524 | 833 | 1308 | 110 | 26 | 23.64% | 129 | 38 | 70.54% | 1 | 551 | 1142 | 48.25% | 544 | 1196 | 45.48% | 383 | 801 | 47.82% | 1135 | 636 | 1155 | 492 | 990 | 495 | 50.2% | 9.2% | 90.0% | 99.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 18 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1142 |
| Neutral Zone Start | 801 |
| Defensive Zone Start | 1196 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1478 |
| Faceoffs Lost | 1661 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.3 | 9.57 |
| 2nd Period | 20.3 | 20.31 |
| 3rd Period | 31.0 | 30.68 |
| Overtime | 32.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 131 |
|---|---|
| PP Goal | 26 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 11 | 11 |
| Lost | 12 | 14 |
| Overtime Lost | 2 | 4 |
| PP Attempt | 110 |
|---|---|
| PP Goal | 26 |
| PK Attempt | 129 |
| PK Goal Against | 38 |
| Home | |
|---|---|
| Shots For | 31.7 |
| Shots Against | 31.3 |
| Goals For | 2.9 |
| Goals Against | 3.1 |
| Hits | 24.2 |
| Shots Blocked | 9.7 |
| Pim | 15.4 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 5,044,847$ | 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 | 69750 | 45943 | |||
| Attendance PCT | 93.00% | 91.89% | 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 |
| 15 | 4628 - 92.55% | 162,781$ | 4,069,516$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 5,044,847$ | 5,044,847$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,740,531$ | 5,044,847$ | 2,223,526$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 2,441,710$ | 52 | 39,761$ | 2,067,572$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,067,572$ | 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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Eddie Schmidtke is out for 1 days because of a Bruised Right Arm Injury.
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