| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 71 | 29 | 34 | 8 | 66 |
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:4,734,847$ |
| Captain: Jochen Sieger | Last 10: 4-5-0 | |
| Coach: Wolf-Dieter Niemeyer | Home: 12-17-4 | |
| All-Time Record: 197 W - 164 L - 39 OTL | Away: 9-17-4 | |
| 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 | 100.00 | 42 | 67 | 81 | 74 | 84 | 91 | 64 | 89 | 86 | 84 | 59 | 80 | 58 | 56 | 97 | 41 | 50 | 77 | 27 | 1,250,000$/4yrs | |||
Riordan Winstone | 9 | C | 97.00 | 87 | 53 | 98 | 97 | 63 | 75 | 88 | 67 | 96 | 45 | 77 | 82 | 52 | 36 | 46 | 5 | 50 | 76 | 35 | 1,950,000$/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$/3yrs | |||
Silvio Schmidt (R) | 0 | LW | 100.00 | 77 | 67 | 81 | 66 | 72 | 81 | 76 | 80 | 81 | 68 | 71 | 80 | 80 | 67 | 67 | 69 | 50 | 75 | 22 | 900,000$/2yrs | |||
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$/2yrs | |||
Marcel Blazik (R) | 22 | LW | 97.00 | 74 | 61 | 87 | 73 | 67 | 78 | 76 | 93 | 60 | 64 | 92 | 56 | 67 | 74 | 63 | 68 | 50 | 74 | 20 | 900,000$/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$/3yrs | |||
Ernest Champlin | 82 | LW | 100.00 | 64 | 42 | 82 | 57 | 93 | 80 | 51 | 83 | 73 | 86 | 62 | 64 | 55 | 66 | 66 | 10 | 50 | 73 | 34 | 700,000$/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$/1yrs | |||
Sarno Huopio | 25 | LW | 100.00 | 92 | 68 | 66 | 85 | 62 | 64 | 85 | 98 | 70 | 71 | 71 | 44 | 90 | 67 | 56 | 8 | 50 | 73 | 33 | 900,000$/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$/1yrs | |||
Stephan Audet | 0 | RW | 100.00 | 63 | 52 | 96 | 64 | 92 | 92 | 69 | 61 | 89 | 56 | 33 | 83 | 71 | 96 | 71 | 2 | 50 | 70 | 37 | 790,000$/1yrs | |||
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$/3yrs | |||
Grayson Jambrosich | 47 | D | 100.00 | 74 | 66 | 73 | 92 | 90 | 66 | 67 | 67 | 25 | 69 | 50 | 76 | 34 | 64 | 64 | 2 | 50 | 74 | 35 | 1,350,000$/2yrs | |||
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$/1yrs | |||
Zackary Rothschild | 23 | D | 100.00 | 44 | 49 | 91 | 88 | 41 | 94 | 65 | 77 | 25 | 80 | 54 | 97 | 41 | 69 | 97 | 24 | 50 | 71 | 30 | 1,900,000$/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$/2yrs | |||
Peyton Fennell | 0 | D | 100.00 | 76 | 35 | 89 | 61 | 67 | 69 | 64 | 88 | 25 | 69 | 34 | 75 | 97 | 70 | 78 | 12 | 50 | 68 | 34 | 715,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Valery Kolesnikov | 46 | RW | 89.34 | 98 | 45 | 64 | 76 | 68 | 83 | 77 | 85 | 73 | 47 | 77 | 92 | 92 | 75 | 66 | 5 | 50 | 75 | 33 | 1,800,000$/1yrs | |||
Caspar Reichelt (R) | 71 | RW | 94.00 | 86 | 67 | 72 | 68 | 77 | 73 | 85 | 75 | 58 | 70 | 84 | 65 | 67 | 60 | 69 | 84 | 50 | 74 | 19 | 900,000$/3yrs | |||
Pavlo Benard | 81 | C | 96.89 | 41 | 67 | 80 | 62 | 68 | 89 | 51 | 84 | 65 | 87 | 58 | 92 | 39 | 88 | 54 | 0 | 50 | 73 | 38 | 965,000$/1yrs | |||
Riley Antisin (R) | 85 | C | 100.00 | 27 | 42 | 83 | 66 | 57 | 61 | 66 | 82 | 59 | 92 | 87 | 30 | 76 | 32 | 70 | 49 | 50 | 67 | 25 | 1,427,924$/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 | |||
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$/1yrs | |||
Trevor Marcoux (R) | 56 | D | 100.00 | 36 | 44 | 91 | 81 | 30 | 81 | 60 | 81 | 25 | 33 | 64 | 86 | 86 | 54 | 73 | 62 | 50 | 60 | 22 | 800,000$/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$/2yrs |
Patrick Carlyle | 35 | 100.00 | 71 | 57 | 64 | 92 | 97 | 68 | 81 | 68 | 94 | 71 | 55 | 28 | 46 | 53 | 50 | 76 | 24 | 1,995,000$/5yrs |
| Scratches | ||||||||||||||||||||
| 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 | 59 | 31 | 39 | 70 | 6 | 88 | 60 | 87 | 217 | 78 | 136 | 14.29% | 27 | 21.08 | 0.00 | 6 | 8 | 14 | 1 | 0 | 1 | 63 | 4 | 1 | 51.16% | 0 | 2 | 1.19 | 1 | 4 | 0.98 | ||
| 2 | Marcel Blazik | Wolverines (TRI) | LW | 71 | 28 | 27 | 55 | 2 | 88 | 40 | 106 | 287 | 70 | 191 | 9.76% | 14 | 17.25 | 0.00 | 1 | 7 | 8 | 0 | 0 | 0 | 0 | 6 | 1 | 45.16% | 0 | 1 | 0.77 | 0 | 0 | 0.75 | ||
| 3 | Erwin Haberer | Wolverines (TRI) | C | 69 | 19 | 28 | 47 | -18 | 99 | 55 | 109 | 178 | 56 | 98 | 10.67% | 43 | 18.54 | 0.00 | 5 | 9 | 14 | 0 | 0 | 0 | 86 | 2 | 2 | 42.81% | 0 | 0 | 0.68 | 0 | 3 | 0.37 | ||
| 4 | R.J. Upton | Wolverines (TRI) | LW | 63 | 15 | 26 | 41 | 9 | 36 | 20 | 117 | 135 | 49 | 66 | 11.11% | 23 | 17.36 | 0.00 | 5 | 4 | 9 | 0 | 0 | 0 | 52 | 4 | 1 | 48.25% | 1 | 0 | 0.65 | 1 | 2 | 0.64 | ||
| 5 | Silvio Schmidt | Wolverines (TRI) | LW | 72 | 21 | 20 | 41 | -10 | 105 | 75 | 120 | 156 | 63 | 85 | 13.46% | 33 | 19.26 | 0.00 | 5 | 5 | 10 | 0 | 1 | 1 | 94 | 4 | 0 | 50.38% | 1 | 1 | 0.57 | 1 | 6 | 0.34 | ||
| 6 | Caspar Reichelt | Wolverines (TRI) | RW | 71 | 15 | 17 | 32 | -10 | 103 | 55 | 180 | 140 | 37 | 85 | 10.71% | 35 | 17.46 | 0.00 | 4 | 5 | 9 | 0 | 0 | 0 | 20 | 1 | 3 | 41.18% | 0 | 0 | 0.45 | 2 | 3 | 0.26 | ||
| 7 | Grayson Jambrosich | Wolverines (TRI) | D | 71 | 4 | 23 | 27 | -5 | 109 | 55 | 123 | 82 | 42 | 31 | 4.88% | 98 | 24.05 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 79 | 0 | 2 | 0.00% | 1 | 0 | 0.38 | 0 | 0 | 0.14 | ||
| 8 | Riordan Winstone | Wolverines (TRI) | C | 45 | 10 | 13 | 23 | 4 | 9 | 5 | 72 | 109 | 27 | 60 | 9.17% | 17 | 18.41 | 0.00 | 2 | 1 | 3 | 0 | 1 | 1 | 42 | 0 | 0 | 49.74% | 0 | 0 | 0.51 | 0 | 3 | 0.59 | ||
| 9 | Fyodor Romantsev | Wolverines (TRI) | LW | 71 | 13 | 10 | 23 | 4 | 4 | 0 | 86 | 113 | 33 | 55 | 11.50% | 12 | 12.29 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 36 | 2 | 1 | 50.00% | 0 | 0 | 0.32 | 1 | 2 | 0.40 | ||
| 10 | Pasi-Pekka Hoikkala | Wolverines (TRI) | D | 67 | 2 | 19 | 21 | -15 | 131 | 75 | 151 | 87 | 35 | 40 | 2.30% | 74 | 24.92 | 0.00 | 1 | 4 | 5 | 0 | 0 | 0 | 93 | 1 | 1 | 0.00% | 0 | 0 | 0.31 | 0 | 0 | -0.03 | ||
| 11 | Jesse-Petteri Ivari | Wolverines (TRI) | RW | 71 | 5 | 15 | 20 | -13 | 78 | 50 | 125 | 84 | 25 | 56 | 5.95% | 31 | 17.73 | 0.00 | 3 | 5 | 8 | 0 | 0 | 0 | 28 | 0 | 0 | 48.72% | 0 | 0 | 0.28 | 1 | 1 | 0.08 | ||
| 12 | Valery Kolesnikov | Wolverines (TRI) | RW | 47 | 13 | 5 | 18 | 9 | 37 | 5 | 77 | 98 | 27 | 51 | 13.27% | 16 | 13.61 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 32 | 1 | 0 | 38.71% | 0 | 0 | 0.38 | 0 | 3 | 0.43 | ||
| 13 | Ernest Champlin | Wolverines (TRI) | LW | 53 | 6 | 9 | 15 | -18 | 4 | 0 | 53 | 55 | 17 | 32 | 10.91% | 11 | 11.38 | 0.00 | 2 | 5 | 7 | 0 | 0 | 0 | 38 | 0 | 1 | 52.11% | 0 | 0 | 0.28 | 0 | 0 | 0.17 | ||
| 14 | Sarno Huopio | Wolverines (TRI) | LW | 61 | 3 | 11 | 14 | -16 | 60 | 30 | 58 | 77 | 42 | 49 | 3.90% | 10 | 8.03 | 0.00 | 0 | 1 | 1 | 1 | 0 | 1 | 9 | 1 | 0 | 33.33% | 0 | 0 | 0.23 | 0 | 0 | 0.04 | ||
| 15 | Daryl Goyer | Wolverines (TRI) | D | 71 | 4 | 10 | 14 | -11 | 52 | 30 | 31 | 77 | 34 | 25 | 5.19% | 89 | 22.50 | 0.00 | 2 | 2 | 4 | 0 | 0 | 0 | 117 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.08 | ||
| 16 | Ronald Duco | Wolverines (TRI) | D | 55 | 1 | 10 | 11 | -3 | 27 | 25 | 40 | 76 | 28 | 29 | 1.32% | 57 | 21.38 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 63 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.18 | ||
| 17 | Pavlo Benard | Wolverines (TRI) | C | 49 | 4 | 5 | 9 | -3 | 39 | 25 | 21 | 48 | 18 | 31 | 8.33% | 9 | 9.90 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 41.99% | 0 | 0 | 0.18 | 0 | 0 | 0.05 | ||
| 18 | Peyton Fennell | Wolverines (TRI) | D | 45 | 0 | 7 | 7 | 0 | 2 | 0 | 26 | 12 | 6 | 10 | 0.00% | 29 | 13.46 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.14 | ||
| 19 | Damien Mosienko | Wolverines (TRI) | D | 53 | 0 | 6 | 6 | 4 | 24 | 0 | 40 | 28 | 10 | 16 | 0.00% | 25 | 12.51 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.09 | ||
| 20 | Riley Antisin | Wolverines (TRI) | C | 21 | 1 | 3 | 4 | -7 | 0 | 0 | 4 | 25 | 8 | 18 | 4.00% | 2 | 7.76 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 32.26% | 0 | 0 | 0.19 | 0 | 0 | 0.13 | ||
| 21 | Sigvard Ukkola | Wolverines (TRI) | RW | 30 | 1 | 2 | 3 | -4 | 7 | 5 | 28 | 26 | 3 | 14 | 3.85% | 1 | 7.45 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14.29% | 0 | 0 | 0.10 | 0 | 0 | 0.08 | ||
| 22 | Zackary Rothschild | Wolverines (TRI) | D | 23 | 1 | 1 | 2 | -2 | 0 | 0 | 3 | 10 | 5 | 1 | 10.00% | 14 | 13.16 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.09 | 0 | 0 | 0.07 | ||
| 23 | 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 | ||
| 24 | Stephan Audet | Wolverines (TRI) | RW | 11 | 0 | 0 | 0 | -3 | 0 | 0 | 9 | 4 | 0 | 2 | 0.00% | 0 | 8.44 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | ||
| Team Total or Average | 1267 | 197 | 308 | 505 | -100 | 1114 | 620 | 1667 | 2139 | 717 | 1189 | 9.21% | 675 | 16.66 | 38 | 62 | 100 | 1170 | 2 | 2 | 4 | 1008 | 27 | 13 | 46.62% | 4028 | 398 | 517 | 3 | 4 | 0.48 | 7 | 27 |
| 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) | 46 | 17 | 19 | 5 | 0.896 | 3.17 | 2514 | 0 | 2 | 133 | 1283 | 552 | 3 | 0 | 0.769 | 13 | 44 | 27 | 5 | 3 | 2 |
| 2 | Patrick Carlyle | Wolverines (TRI) | 32 | 12 | 14 | 3 | 0.906 | 2.81 | 1749 | 0 | 0 | 82 | 870 | 423 | 1 | 0 | 0.875 | 8 | 27 | 39 | 0 | 2 | 2 |
| Team Total or Average | 78 | 29 | 33 | 8 | 0.900 | 3.03 | 4263 | 0 | 2 | 215 | 2153 | 975 | 4 | 0 | 0.810 | 21 | 71 | 66 | 5 | 5 | 4 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
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$ | 1,000,000$ | ||||||
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$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||
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$ | 1,300,000$ | 1,300,000$ | |||||
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$ | |||||||
Silvio Schmidt | LW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
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 | Outlaws | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 41 | 79 | 71 | 9 | 39 | 633 | 769 | 726 | 63 | 30 | 14 | 12 | 22 | 3 | 2 | 66.67% | 1 | 1 | 0.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 33.3% | 10.3% | 83.3% | 93.6 | FUN |
| 2 | Jacks | 6 | 1 | 2 | 0 | 0 | 2 | 0 | 1 | 17 | 25 | -8 | 5 | 0.417 | 17 | 27 | 44 | 0 | 0 | 41 | 79 | 71 | 9 | 186 | 633 | 769 | 726 | 63 | 164 | 85 | 84 | 124 | 20 | 6 | 30.00% | 12 | 2 | 83.33% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 32.4% | 9.1% | 84.8% | 93.9 | FUN |
| 3 | Rampage | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 41 | 79 | 71 | 9 | 50 | 633 | 769 | 726 | 63 | 58 | 17 | 53 | 49 | 3 | 0 | 0.00% | 9 | 3 | 66.67% | 1 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 62.5% | 10.0% | 89.7% | 99.7 | FUN |
| 4 | Kings | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 0.667 | 8 | 15 | 23 | 0 | 0 | 41 | 79 | 71 | 9 | 97 | 633 | 769 | 726 | 63 | 91 | 29 | 28 | 85 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 66.7% | 8.2% | 94.5% | 102.8 | DULL |
| 5 | Comets | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 41 | 79 | 71 | 9 | 60 | 633 | 769 | 726 | 63 | 74 | 19 | 28 | 66 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 44.4% | 8.3% | 90.5% | 98.9 | Unlucky |
| 6 | Crusaders | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 41 | 79 | 71 | 9 | 66 | 633 | 769 | 726 | 63 | 45 | 16 | 15 | 38 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 33.3% | 6.1% | 84.4% | 90.5 | Unlucky |
| 7 | Bulldogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 41 | 79 | 71 | 9 | 70 | 633 | 769 | 726 | 63 | 68 | 15 | 32 | 51 | 3 | 1 | 33.33% | 6 | 3 | 50.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 44.4% | 7.1% | 88.2% | 95.4 | Unlucky |
| 8 | Rock | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 41 | 79 | 71 | 9 | 65 | 633 | 769 | 726 | 63 | 57 | 22 | 38 | 45 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 1 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 38.5% | 7.7% | 82.5% | 90.1 | Unlucky |
| 9 | Auroras | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 19 | 17 | 2 | 6 | 0.500 | 19 | 30 | 49 | 0 | 0 | 41 | 79 | 71 | 9 | 165 | 633 | 769 | 726 | 63 | 161 | 49 | 89 | 120 | 25 | 6 | 24.00% | 12 | 3 | 75.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 48.1% | 11.5% | 89.4% | 101.0 | FUN |
| 10 | Jazz | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 7 | 13 | 0 | 0 | 41 | 79 | 71 | 9 | 64 | 633 | 769 | 726 | 63 | 44 | 22 | 13 | 53 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 60.0% | 9.4% | 90.9% | 100.3 | FUN |
| 11 | Hornets | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 12 | 15 | -3 | 4 | 0.500 | 12 | 16 | 28 | 0 | 0 | 41 | 79 | 71 | 9 | 127 | 633 | 769 | 726 | 63 | 106 | 33 | 12 | 115 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 46.2% | 9.4% | 85.8% | 95.3 | FUN |
| 12 | Wolfpack | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0.333 | 10 | 16 | 26 | 0 | 1 | 41 | 79 | 71 | 9 | 73 | 633 | 769 | 726 | 63 | 100 | 27 | 109 | 71 | 7 | 1 | 14.29% | 12 | 2 | 83.33% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 52.9% | 13.7% | 90.0% | 103.7 | FUN |
| 13 | Vipers | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 9 | 0 | 3 | 0.500 | 9 | 13 | 22 | 0 | 0 | 41 | 79 | 71 | 9 | 102 | 633 | 769 | 726 | 63 | 112 | 22 | 89 | 63 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 56.3% | 8.8% | 92.0% | 100.8 | DULL |
| 14 | Devils | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 16 | 26 | 0 | 0 | 41 | 79 | 71 | 9 | 101 | 633 | 769 | 726 | 63 | 113 | 24 | 33 | 87 | 11 | 5 | 45.45% | 9 | 5 | 44.44% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 41.7% | 9.9% | 89.4% | 99.3 | FUN |
| 15 | Guppies | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 3 | 0.750 | 5 | 9 | 14 | 0 | 0 | 41 | 79 | 71 | 9 | 65 | 633 | 769 | 726 | 63 | 70 | 21 | 16 | 36 | 8 | 3 | 37.50% | 3 | 1 | 66.67% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 40.0% | 7.7% | 94.3% | 102.0 | DULL |
| 16 | Stingers | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 41 | 79 | 71 | 9 | 75 | 633 | 769 | 726 | 63 | 34 | 11 | 14 | 43 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 83.3% | 6.7% | 97.1% | 103.7 | DULL |
| 17 | Schooners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 41 | 79 | 71 | 9 | 48 | 633 | 769 | 726 | 63 | 58 | 29 | 28 | 37 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 60.0% | 12.5% | 91.4% | 103.9 | LUCKY |
| 18 | Hydra | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 41 | 79 | 71 | 9 | 66 | 633 | 769 | 726 | 63 | 63 | 19 | 21 | 45 | 5 | 2 | 40.00% | 8 | 1 | 87.50% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 16.7% | 4.5% | 90.5% | 95.0 | Unlucky |
| 19 | Phantoms | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 13 | 22 | 0 | 0 | 41 | 79 | 71 | 9 | 92 | 633 | 769 | 726 | 63 | 117 | 36 | 72 | 75 | 7 | 2 | 28.57% | 6 | 2 | 66.67% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 50.0% | 9.8% | 92.3% | 102.1 | LUCKY |
| 20 | Spartans | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 41 | 79 | 71 | 9 | 62 | 633 | 769 | 726 | 63 | 66 | 17 | 42 | 55 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 54.5% | 9.7% | 90.9% | 100.6 | FUN |
| 21 | Northmen | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 41 | 79 | 71 | 9 | 35 | 633 | 769 | 726 | 63 | 42 | 11 | 17 | 31 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 75.0% | 11.4% | 97.6% | 109.0 | LUCKY |
| 22 | Yeti | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 20 | 21 | -1 | 6 | 0.429 | 20 | 32 | 52 | 0 | 0 | 41 | 79 | 71 | 9 | 195 | 633 | 769 | 726 | 63 | 217 | 80 | 50 | 154 | 8 | 1 | 12.50% | 10 | 3 | 70.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 51.4% | 10.3% | 90.3% | 100.6 | FUN |
| 23 | Wild Wings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 41 | 79 | 71 | 9 | 27 | 633 | 769 | 726 | 63 | 29 | 11 | 34 | 21 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 50.0% | 3.7% | 89.7% | 93.4 | Unlucky |
| 24 | Drillers | 6 | 2 | 2 | 0 | 2 | 0 | 0 | 0 | 16 | 17 | -1 | 8 | 0.667 | 16 | 27 | 43 | 0 | 0 | 41 | 79 | 71 | 9 | 192 | 633 | 769 | 726 | 63 | 197 | 53 | 79 | 143 | 8 | 1 | 12.50% | 17 | 2 | 88.24% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 50.0% | 8.3% | 91.4% | 99.7 | DULL |
| 25 | Swamp Puppies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 41 | 79 | 71 | 9 | 48 | 633 | 769 | 726 | 63 | 66 | 19 | 48 | 48 | 6 | 3 | 50.00% | 4 | 2 | 50.00% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 22.2% | 10.4% | 86.4% | 96.8 | FUN |
| _Vs Division | 14 | 9 | 11 | 0 | 2 | 2 | 0 | 1 | 41 | 41 | 0 | 25 | 0.893 | 41 | 67 | 108 | 0 | 0 | 41 | 79 | 71 | 9 | 429 | 633 | 769 | 726 | 63 | 421 | 122 | 244 | 313 | 33 | 6 | 18.18% | 27 | 8 | 70.37% | 1 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 51.5% | 9.6% | 90.3% | 99.8 | FUN | |
| _Vs Conference | 47 | 16 | 20 | 0 | 2 | 5 | 2 | 2 | 139 | 149 | -10 | 47 | 0.500 | 139 | 222 | 361 | 0 | 1 | 41 | 79 | 71 | 9 | 1434 | 633 | 769 | 726 | 63 | 1478 | 473 | 673 | 1095 | 104 | 27 | 25.96% | 99 | 25 | 74.75% | 0 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 47.5% | 9.7% | 89.9% | 99.6 | FUN | |
| _Since Last GM Reset | 71 | 21 | 34 | 0 | 3 | 6 | 5 | 2 | 199 | 222 | -23 | 66 | 0.465 | 199 | 317 | 516 | 0 | 2 | 41 | 79 | 71 | 9 | 2170 | 633 | 769 | 726 | 63 | 2182 | 701 | 1056 | 1677 | 150 | 36 | 24.00% | 158 | 43 | 72.78% | 2 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 47.7% | 9.2% | 89.8% | 99.0 | FUN | |
| Total | 71 | 21 | 34 | 0 | 3 | 6 | 5 | 2 | 199 | 222 | -23 | 66 | 0.465 | 199 | 317 | 516 | 0 | 2 | 41 | 79 | 71 | 9 | 2170 | 633 | 769 | 726 | 63 | 2182 | 701 | 1056 | 1677 | 150 | 36 | 24.00% | 158 | 43 | 72.78% | 2 | 699 | 1456 | 48.01% | 718 | 1576 | 45.56% | 491 | 1034 | 47.49% | 1461 | 805 | 1532 | 652 | 1310 | 658 | 47.7% | 9.2% | 89.8% | 99.0 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 20 |
| Neutral Zone | 18 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1456 |
| Neutral Zone Start | 1034 |
| Defensive Zone Start | 1576 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1908 |
| Faceoffs Lost | 2158 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.9 | 9.57 |
| 2nd Period | 19.7 | 20.31 |
| 3rd Period | 30.0 | 30.68 |
| Overtime | 30.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.6 | 0.64 |
| 2nd Period | 1.7 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.8 | 2.83 |
| Even Strenght Goal | 161 |
|---|---|
| PP Goal | 36 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 15 | 14 |
| Lost | 17 | 17 |
| Overtime Lost | 4 | 4 |
| PP Attempt | 150 |
|---|---|
| PP Goal | 36 |
| PK Attempt | 158 |
| PK Goal Against | 43 |
| Home | |
|---|---|
| Shots For | 30.6 |
| Shots Against | 30.7 |
| Goals For | 2.8 |
| Goals Against | 3.1 |
| Hits | 23.6 |
| Shots Blocked | 9.9 |
| Pim | 14.9 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,734,847$ | 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 | 101219 | 67034 | |||
| Attendance PCT | 93.72% | 93.10% | 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 |
| 4 | 4674 - 93.47% | 164,240$ | 5,912,630$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,734,847$ | 4,734,847$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 4,065,145$ | 4,734,847$ | 3,363,106$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 656,959$ | 18 | 37,652$ | 677,736$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 677,736$ | 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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Valery Kolesnikov is out for 6 days because of a Sports Hernia Injury.
Carsten Kerly is out for 3 days because of a Bruised Left Shoulder Injury.
Caspar Reichelt is out for 1 days because of a Exhaustion.
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