| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 4 | 1 | 2 | 1 | 3 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jochen Sieger | 11 | C | 100.00 | 42 | 67 | 81 | 74 | 84 | 91 | 64 | 89 | 86 | 84 | 59 | 80 | 58 | 56 | 97 | 41 | 50 | 77 | 27 | 1,250,000$/4yrs | |||
Jayce Petrie | 83 | RW | 100.00 | 70 | 69 | 94 | 71 | 92 | 82 | 72 | 92 | 80 | 84 | 38 | 73 | 86 | 50 | 60 | 0 | 50 | 77 | 37 | 1,400,000$/1yrs | |||
Riordan Winstone | 9 | C | 100.00 | 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 | |||
Erwin Haberer (R) | 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 | 99.00 | 86 | 67 | 72 | 68 | 77 | 73 | 85 | 75 | 58 | 70 | 84 | 65 | 67 | 60 | 69 | 84 | 50 | 74 | 19 | 900,000$/3yrs | |||
Jesse-Petteri Ivari (R) | 10 | RW | 98.00 | 67 | 68 | 78 | 78 | 77 | 75 | 68 | 53 | 69 | 70 | 84 | 90 | 81 | 64 | 68 | 65 | 50 | 74 | 18 | 900,000$/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$/1yrs | |||
Fyodor Romantsev | 28 | LW | 100.00 | 56 | 38 | 88 | 64 | 49 | 78 | 83 | 90 | 86 | 58 | 82 | 79 | 79 | 66 | 98 | 0 | 50 | 73 | 36 | 1,500,000$/1yrs | |||
Sarno Huopio | 25 | LW | 99.00 | 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 | |||
Lubos Gebauer (R) | 48 | D | 100.00 | 51 | 61 | 64 | 87 | 81 | 90 | 76 | 78 | 76 | 76 | 80 | 64 | 85 | 83 | 64 | 57 | 50 | 77 | 19 | 1,000,000$/2yrs | |||
Pasi-Pekka Hoikkala (R) | 60 | D | 99.00 | 69 | 65 | 67 | 69 | 85 | 85 | 76 | 67 | 81 | 74 | 84 | 79 | 74 | 83 | 60 | 60 | 50 | 76 | 18 | 1,000,000$/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$/1yrs | |||
Daryl Goyer (R) | 73 | D | 100.00 | 34 | 52 | 90 | 67 | 58 | 85 | 97 | 82 | 25 | 39 | 59 | 96 | 28 | 93 | 53 | 55 | 50 | 69 | 24 | 775,000$/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$/1yrs | |||
Trevor Marcoux (R) | 56 | D | 100.00 | 36 | 44 | 91 | 81 | 30 | 81 | 60 | 81 | 25 | 33 | 64 | 86 | 86 | 54 | 73 | 62 | 50 | 60 | 22 | 800,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
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$/1yrs | |||
Ernest Champlin | 82 | LW | 100.00 | 64 | 42 | 82 | 57 | 93 | 80 | 51 | 83 | 73 | 86 | 62 | 64 | 55 | 66 | 66 | 10 | 50 | 73 | 34 | 700,000$/1yrs | |||
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 | |||
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$/1yrs | |||
Peyton Fennell | 0 | D | 100.00 | 76 | 35 | 89 | 61 | 67 | 69 | 64 | 88 | 25 | 69 | 34 | 75 | 97 | 70 | 78 | 12 | 50 | 68 | 34 | 715,000$/1yrs | |||
| 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 | 97.00 | 69 | 90 | 66 | 84 | 78 | 98 | 79 | 85 | 72 | 75 | 87 | 28 | 86 | 53 | 50 | 80 | 24 | 1,995,000$/2yrs |
Patrick Carlyle | 35 | 100.00 | 71 | 57 | 64 | 92 | 97 | 68 | 81 | 68 | 94 | 71 | 55 | 28 | 46 | 53 | 50 | 76 | 24 | 1,995,000$/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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jochen Sieger | Wolverines (TRI) | C | 4 | 5 | 3 | 8 | -3 | 10 | 10 | 4 | 21 | 4 | 6 | 23.81% | 1 | 20.14 | 2 | 2 | 4 | 0 | 0 | 0 | 2 | 0 | 1 | 55.26% | 0 | 1 | 2.00 | 0 | 1 | 1.20 | |||
| 2 | Caspar Reichelt | Wolverines (TRI) | RW | 4 | 1 | 4 | 5 | 0 | 2 | 0 | 9 | 6 | 2 | 7 | 16.67% | 3 | 17.73 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 1.25 | 0 | 0 | 0.96 | |||
| 3 | Sarno Huopio | Wolverines (TRI) | LW | 4 | 0 | 4 | 4 | -2 | 0 | 0 | 12 | 16 | 7 | 8 | 0.00% | 1 | 17.76 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.94 | |||
| 4 | Lubos Gebauer | Wolverines (TRI) | D | 4 | 0 | 4 | 4 | -5 | 2 | 0 | 5 | 11 | 6 | 5 | 0.00% | 6 | 22.45 | 0 | 3 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.46 | |||
| 5 | Marcel Blazik | Wolverines (TRI) | LW | 4 | 2 | 1 | 3 | 2 | 19 | 5 | 2 | 10 | 3 | 19 | 20.00% | 0 | 16.19 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.75 | 0 | 0 | 0.21 | |||
| 6 | Jesse-Petteri Ivari | Wolverines (TRI) | RW | 4 | 1 | 2 | 3 | -3 | 2 | 0 | 9 | 5 | 3 | 6 | 20.00% | 0 | 20.53 | 1 | 1 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 50.00% | 0 | 0 | 0.75 | 1 | 1 | 0.34 | |||
| 7 | Erwin Haberer | Wolverines (TRI) | C | 4 | 2 | 0 | 2 | -2 | 7 | 5 | 8 | 15 | 1 | 1 | 13.33% | 8 | 20.43 | 2 | 0 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 46.15% | 0 | 0 | 0.50 | 0 | 1 | 0.27 | |||
| 8 | Pasi-Pekka Hoikkala | Wolverines (TRI) | D | 4 | 0 | 1 | 1 | -6 | 9 | 5 | 7 | 7 | 4 | 4 | 0.00% | 4 | 24.81 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.50 | |||
| 9 | Pavlo Benard | Wolverines (TRI) | C | 4 | 0 | 0 | 0 | 0 | 7 | 5 | 4 | 3 | 4 | 3 | 0.00% | 2 | 13.94 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 52.94% | 0 | 0 | 0.00 | 0 | 0 | -0.18 | |||
| 10 | Sigvard Ukkola | Wolverines (TRI) | RW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | 0 | 4 | 0.00% | 0 | 12.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.19 | |||
| 11 | Riordan Winstone | Wolverines (TRI) | C | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 8 | 0 | 6 | 0.00% | 1 | 11.40 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 45.45% | 0 | 0 | 0.00 | 0 | 1 | 0.10 | |||
| 12 | R.J. Upton | Wolverines (TRI) | LW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 7 | 5 | 2 | 4 | 0.00% | 2 | 11.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.09 | |||
| 13 | Fyodor Romantsev | Wolverines (TRI) | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 2 | 3 | 0.00% | 0 | 11.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.07 | |||
| 14 | Damien Mosienko | Wolverines (TRI) | D | 4 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 3 | 1 | 3 | 0.00% | 2 | 15.99 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | |||
| 15 | Jayce Petrie | Wolverines (TRI) | RW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 0 | 1 | 3 | 0.00% | 1 | 7.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
| 16 | Grayson Jambrosich | Wolverines (TRI) | D | 4 | 0 | 0 | 0 | 2 | 2 | 0 | 7 | 3 | 1 | 2 | 0.00% | 3 | 21.04 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.19 | |||
| 17 | Daryl Goyer | Wolverines (TRI) | D | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 6 | 1 | 1 | 0.00% | 5 | 19.88 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.36 | |||
| 18 | Trevor Marcoux | Wolverines (TRI) | D | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 5 | 1 | 2 | 0.00% | 2 | 14.34 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.04 | |||
| Team Total or Average | 72 | 11 | 19 | 30 | -18 | 66 | 30 | 90 | 134 | 43 | 87 | 8.21% | 41 | 16.66 | 6 | 11 | 17 | 116 | 0 | 0 | 0 | 77 | 0 | 1 | 50.79% | 252 | 28 | 31 | 0 | 1 | 0.50 | 1 | 4 |
| 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) | 4 | 1 | 2 | 1 | 0.890 | 3.43 | 245 | 0 | 0 | 14 | 127 | 52 | 0 | 0 | 1.000 | 4 | 4 | 0 | 0 | 0 | 0 |
| Team Total or Average | 4 | 1 | 2 | 1 | 0.890 | 3.43 | 245 | 0 | 0 | 14 | 127 | 52 | 0 | 0 | 1.000 | 4 | 4 | 0 | 0 | 0 | 0 |
| 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$ | ||||
Lubos Gebauer | D | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
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 | Kings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 3 | 5 | 3 | 1 | 29 | 52 | 37 | 42 | 7 | 42 | 14 | 14 | 19 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 55 | 92 | 59.78% | 43 | 98 | 43.88% | 30 | 57 | 52.63% | 91 | 55 | 86 | 36 | 69 | 34 | 50.0% | 6.9% | 92.9% | 99.8 | DULL |
| 2 | Auroras | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 3 | 5 | 3 | 1 | 32 | 52 | 37 | 42 | 7 | 22 | 6 | 24 | 20 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 55 | 92 | 59.78% | 43 | 98 | 43.88% | 30 | 57 | 52.63% | 91 | 55 | 86 | 36 | 69 | 34 | 50.0% | 6.3% | 86.4% | 92.6 | Unlucky |
| 3 | Devils | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 3 | 5 | 3 | 1 | 37 | 52 | 37 | 42 | 7 | 37 | 9 | 15 | 32 | 6 | 4 | 66.67% | 5 | 2 | 60.00% | 0 | 55 | 92 | 59.78% | 43 | 98 | 43.88% | 30 | 57 | 52.63% | 91 | 55 | 86 | 36 | 69 | 34 | 40.0% | 16.2% | 86.5% | 102.7 | FUN |
| 4 | Hydra | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 3 | 5 | 3 | 1 | 36 | 52 | 37 | 42 | 7 | 26 | 12 | 13 | 19 | 3 | 2 | 66.67% | 4 | 1 | 75.00% | 0 | 55 | 92 | 59.78% | 43 | 98 | 43.88% | 30 | 57 | 52.63% | 91 | 55 | 86 | 36 | 69 | 34 | 0.0% | 5.6% | 88.5% | 94.0 | Unlucky |
| _Vs Division | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 3 | 5 | 3 | 1 | 61 | 52 | 37 | 42 | 7 | 64 | 20 | 38 | 39 | 7 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 55 | 92 | 59.78% | 43 | 98 | 43.88% | 30 | 57 | 52.63% | 91 | 55 | 86 | 36 | 69 | 34 | 50.0% | 6.6% | 90.6% | 97.2 | Unlucky | |
| _Vs Conference | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 11 | -1 | 2 | 0.333 | 10 | 16 | 26 | 0 | 0 | 3 | 5 | 3 | 1 | 98 | 52 | 37 | 42 | 7 | 101 | 29 | 53 | 71 | 13 | 4 | 30.77% | 9 | 4 | 55.56% | 0 | 55 | 92 | 59.78% | 43 | 98 | 43.88% | 30 | 57 | 52.63% | 91 | 55 | 86 | 36 | 69 | 34 | 46.2% | 10.2% | 89.1% | 99.3 | FUN | |
| _Since Last GM Reset | 4 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 12 | 14 | -2 | 3 | 0.375 | 12 | 19 | 31 | 0 | 0 | 3 | 5 | 3 | 1 | 134 | 52 | 37 | 42 | 7 | 127 | 41 | 66 | 90 | 16 | 6 | 37.50% | 13 | 5 | 61.54% | 0 | 55 | 92 | 59.78% | 43 | 98 | 43.88% | 30 | 57 | 52.63% | 91 | 55 | 86 | 36 | 69 | 34 | 40.0% | 9.0% | 89.0% | 97.9 | FUN | |
| Total | 4 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 12 | 14 | -2 | 3 | 0.375 | 12 | 19 | 31 | 0 | 0 | 3 | 5 | 3 | 1 | 134 | 52 | 37 | 42 | 7 | 127 | 41 | 66 | 90 | 16 | 6 | 37.50% | 13 | 5 | 61.54% | 0 | 55 | 92 | 59.78% | 43 | 98 | 43.88% | 30 | 57 | 52.63% | 91 | 55 | 86 | 36 | 69 | 34 | 40.0% | 9.0% | 89.0% | 97.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 17 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 92 |
| Neutral Zone Start | 57 |
| Defensive Zone Start | 98 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 128 |
| Faceoffs Lost | 119 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 13.0 | 9.57 |
| 2nd Period | 22.3 | 20.31 |
| 3rd Period | 32.8 | 30.68 |
| Overtime | 34.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 6 |
|---|---|
| PP Goal | 6 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 1 |
| Lost | 1 | 1 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 16 |
|---|---|
| PP Goal | 6 |
| PK Attempt | 13 |
| PK Goal Against | 5 |
| Home | |
|---|---|
| Shots For | 33.5 |
| Shots Against | 31.8 |
| Goals For | 3.0 |
| Goals Against | 3.5 |
| Hits | 22.5 |
| Shots Blocked | 10.3 |
| Pim | 16.5 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,384,847$ | 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 | 4893 | 2858 | |||
| Attendance PCT | 81.55% | 71.45% | 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 |
| 38 | 3876 - 77.51% | 139,181$ | 278,362$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,384,847$ | 3,384,847$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 170,152$ | 3,384,847$ | 137,500$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 5,288,878$ | 141 | 28,468$ | 4,013,988$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 4,013,988$ | 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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