| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 2 | 1 | 1 | 0 | 2 |
| GM: Andre Dittmann | League Rank:14th | Arena: Medicine Hat Arena |
| Conference: Western Conference | Conference Rank:7th | Capacity:5,000 |
| Division: Northwest | Division Rank:1st | Total Player Salaries:3,826,500$ |
| Captain: Loughlin Dowe | Last 10: 1-1-0 | |
| Coach: John Mayor | Home: 1-0-0 | |
| All-Time Record: W - L - OTL | Away: 0-1-0 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kaarl Kontturi | 58 | C | 100.00 | 92 | 58 | 80 | 66 | 98 | 99 | 73 | 84 | 87 | 70 | 73 | 65 | 97 | 67 | 51 | 34 | 50 | 79 | 30 | 1,999,999$/4yrs | |||
Julien Ghantous | 27 | C | 99.00 | 42 | 53 | 76 | 55 | 79 | 98 | 97 | 73 | 77 | 91 | 48 | 96 | 54 | 66 | 61 | 30 | 50 | 78 | 29 | 1,999,999$/3yrs | |||
Danny Gourlie | 70 | RW | 100.00 | 88 | 50 | 65 | 62 | 95 | 75 | 88 | 90 | 68 | 78 | 66 | 69 | 48 | 56 | 81 | 26 | 50 | 77 | 30 | 1,100,000$/2yrs | |||
Loughlin Dowe (C) | 59 | RW | 100.00 | 55 | 62 | 71 | 80 | 94 | 98 | 64 | 62 | 93 | 72 | 88 | 57 | 78 | 89 | 98 | 58 | 50 | 76 | 25 | 1,750,000$/4yrs | |||
Ken Arn (R) | 17 | RW | 99.00 | 81 | 68 | 82 | 68 | 74 | 86 | 72 | 62 | 68 | 81 | 77 | 72 | 58 | 73 | 69 | 85 | 50 | 75 | 18 | 1,000,000$/3yrs | |||
Jared Tallon (R) | 41 | RW | 100.00 | 88 | 33 | 85 | 64 | 99 | 86 | 80 | 71 | 47 | 77 | 71 | 48 | 72 | 45 | 55 | 54 | 50 | 74 | 24 | 1,750,000$/5yrs | |||
Jari-Henri Maki-Asiala (R) | 92 | LW | 100.00 | 69 | 60 | 63 | 81 | 81 | 90 | 86 | 58 | 55 | 66 | 80 | 70 | 65 | 61 | 57 | 74 | 50 | 74 | 19 | 800,000$/3yrs | |||
Bryn Maybury (R) | 93 | LW | 99.00 | 76 | 54 | 62 | 73 | 83 | 84 | 78 | 66 | 66 | 79 | 55 | 81 | 73 | 50 | 59 | 71 | 50 | 74 | 18 | 900,000$/3yrs | |||
Francois Walrod | 53 | LW | 100.00 | 81 | 46 | 90 | 83 | 50 | 98 | 62 | 67 | 50 | 94 | 79 | 43 | 87 | 85 | 48 | 52 | 50 | 73 | 25 | 1,990,000$/2yrs | |||
Geun Sang-Pil (R) | 72 | LW | 100.00 | 86 | 36 | 68 | 53 | 85 | 82 | 74 | 96 | 49 | 85 | 39 | 52 | 48 | 84 | 81 | 65 | 50 | 71 | 24 | 1,000,000$/5yrs | |||
Valentin Timkin (R) | 21 | C | 100.00 | 78 | 64 | 53 | 72 | 83 | 70 | 60 | 65 | 63 | 80 | 65 | 79 | 70 | 69 | 71 | 81 | 50 | 71 | 22 | 925,000$/2yrs | |||
Elias Dansereau (R) | 14 | C | 100.00 | 91 | 45 | 77 | 61 | 84 | 61 | 74 | 70 | 84 | 59 | 62 | 73 | 77 | 76 | 80 | 59 | 50 | 70 | 23 | 1,000,000$/4yrs | |||
Kazimir Papazov (R) | 84 | D | 100.00 | 39 | 59 | 73 | 73 | 99 | 81 | 95 | 88 | 25 | 66 | 54 | 88 | 84 | 54 | 75 | 54 | 50 | 77 | 24 | 1,800,000$/3yrs | |||
Jovin Coish | 65 | D | 100.00 | 44 | 65 | 57 | 76 | 94 | 81 | 70 | 79 | 25 | 57 | 70 | 99 | 62 | 49 | 43 | 15 | 50 | 75 | 32 | 1,300,000$/2yrs | |||
Libor Hill | 47 | D | 100.00 | 66 | 45 | 79 | 57 | 71 | 99 | 99 | 70 | 25 | 64 | 47 | 92 | 34 | 73 | 50 | 24 | 50 | 75 | 31 | 1,999,999$/3yrs | |||
Derek Hemmerling (R) | 49 | D | 100.00 | 66 | 47 | 84 | 96 | 97 | 67 | 64 | 63 | 25 | 83 | 52 | 66 | 48 | 61 | 78 | 68 | 50 | 74 | 22 | 800,000$/2yrs | |||
Maksim Ushkov (A) | 86 | D | 100.00 | 91 | 44 | 97 | 56 | 56 | 88 | 65 | 58 | 25 | 77 | 56 | 97 | 52 | 68 | 99 | 45 | 50 | 73 | 27 | 1,999,999$/3yrs | |||
Rietrikki Ulrich (R) | 7 | D | 100.00 | 70 | 70 | 56 | 71 | 87 | 85 | 91 | 69 | 74 | 44 | 46 | 78 | 81 | 65 | 64 | 80 | 50 | 73 | 19 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Benedikt Hedqvist | 45 | LW | 100.00 | 65 | 53 | 83 | 82 | 72 | 85 | 52 | 83 | 85 | 92 | 55 | 55 | 78 | 57 | 89 | 35 | 50 | 74 | 29 | 900,000$/3yrs | |||
Washington Banker (R) | 73 | RW | 100.00 | 69 | 36 | 80 | 54 | 83 | 95 | 87 | 67 | 67 | 76 | 55 | 49 | 53 | 75 | 85 | 58 | 50 | 71 | 23 | 1,300,000$/4yrs | |||
Primo Mcdowell (R) | 95 | LW | 100.00 | 57 | 41 | 79 | 58 | 79 | 74 | 83 | 68 | 77 | 51 | 80 | 77 | 43 | 53 | 44 | 67 | 50 | 70 | 24 | 1,200,000$/5yrs | |||
Val Macmurdo (R) | 57 | C | 100.00 | 88 | 47 | 66 | 63 | 81 | 84 | 70 | 74 | 62 | 85 | 58 | 37 | 32 | 41 | 36 | 72 | 50 | 70 | 22 | 875,000$/4yrs | |||
Erick Propp (R) | 74 | RW | 100.00 | 60 | 51 | 69 | 80 | 47 | 89 | 64 | 60 | 78 | 54 | 58 | 94 | 59 | 90 | 39 | 76 | 50 | 68 | 21 | 950,000$/4yrs | |||
Nikita Darsky (R) | 82 | C | 100.00 | 74 | 52 | 54 | 67 | 82 | 76 | 71 | 50 | 56 | 71 | 55 | 75 | 52 | 50 | 51 | 71 | 50 | 67 | 21 | 750,000$/3yrs | |||
Manuel Albertazzi | 55 | D | 100.00 | 57 | 44 | 97 | 76 | 83 | 90 | 50 | 99 | 25 | 77 | 78 | 54 | 92 | 63 | 40 | 41 | 50 | 76 | 28 | 1,500,000$/4yrs | |||
Yaroslav Anokin | 51 | D | 100.00 | 68 | 89 | 62 | 57 | 63 | 97 | 74 | 67 | 25 | 88 | 42 | 94 | 49 | 53 | 93 | 10 | 50 | 75 | 33 | 1,500,000$/2yrs | |||
Karl Lindfors (R) | 89 | D | 100.00 | 66 | 56 | 70 | 56 | 58 | 99 | 89 | 73 | 25 | 78 | 55 | 53 | 52 | 29 | 45 | 73 | 50 | 70 | 22 | 950,000$/5yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Helgert Finke | 1 | 99.00 | 61 | 93 | 84 | 99 | 51 | 69 | 83 | 73 | 86 | 65 | 67 | 46 | 82 | 79 | 50 | 76 | 21 | 1,000,000$/1yrs |
Paulo Keitaanranta | 30 | 100.00 | 81 | 76 | 98 | 67 | 62 | 99 | 75 | 55 | 75 | 59 | 97 | 67 | 41 | 34 | 50 | 75 | 29 | 875,000$/3yrs |
| Scratches | ||||||||||||||||||||
Cullen Varty | 34 | 100.00 | 74 | 60 | 78 | 91 | 68 | 47 | 68 | 78 | 78 | 72 | 66 | 50 | 47 | 72 | 50 | 71 | 22 | 1,550,000$/5yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | John Mayor | 49 | 93 | 67 | 89 | 88 | 38 | 87 | CAN | 41 | 3 | 1,200,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Andre Dittmann |
|---|
| 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 | Danny Gourlie | Drillers (LMB) | RW | 2 | 1 | 1 | 2 | 0 | 0 | 0 | 3 | 9 | 4 | 5 | 11.11% | 0 | 14.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 1.00 | 0 | 0 | 1.15 | |||
| 2 | Kaarl Kontturi | Drillers (LMB) | C | 2 | 1 | 0 | 1 | -1 | 0 | 0 | 3 | 5 | 1 | 5 | 20.00% | 1 | 15.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.82% | 0 | 0 | 0.50 | 0 | 0 | 0.50 | |||
| 3 | Libor Hill | Drillers (LMB) | D | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 2 | 2 | 1 | 1 | 0.00% | 0 | 22.24 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.23 | |||
| 4 | Julien Ghantous | Drillers (LMB) | C | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 4 | 4 | 2 | 0.00% | 1 | 21.68 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 38.81% | 0 | 0 | 0.50 | 0 | 0 | 0.28 | |||
| 5 | Elias Dansereau | Drillers (LMB) | C | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 2 | 2 | 0 | 2 | 0.00% | 0 | 9.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.50 | 0 | 0 | 0.61 | |||
| 6 | Loughlin Dowe | Drillers (LMB) | RW | 2 | 1 | 0 | 1 | 0 | 5 | 5 | 2 | 6 | 1 | 1 | 16.67% | 0 | 13.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.18 | |||
| 7 | Geun Sang-Pil | Drillers (LMB) | LW | 2 | 1 | 0 | 1 | 1 | 2 | 0 | 4 | 6 | 1 | 2 | 16.67% | 0 | 10.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.69 | |||
| 8 | Jared Tallon | Drillers (LMB) | RW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 4 | 3 | 2 | 3 | 0.00% | 0 | 10.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.71 | |||
| 9 | Derek Hemmerling | Drillers (LMB) | D | 2 | 1 | 0 | 1 | -2 | 0 | 0 | 1 | 2 | 1 | 1 | 50.00% | 5 | 20.07 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.25 | |||
| 10 | Valentin Timkin | Drillers (LMB) | C | 2 | 0 | 1 | 1 | 0 | 5 | 5 | 3 | 5 | 2 | 1 | 0.00% | 0 | 12.67 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 57.14% | 0 | 0 | 0.50 | 0 | 0 | 0.14 | |||
| 11 | Rietrikki Ulrich | Drillers (LMB) | D | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0.00% | 3 | 18.63 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.45 | |||
| 12 | Jari-Henri Maki-Asiala | Drillers (LMB) | LW | 2 | 0 | 1 | 1 | -1 | 10 | 10 | 2 | 1 | 0 | 1 | 0.00% | 0 | 13.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 0 | 0 | 0.50 | 0 | 0 | -0.65 | |||
| 13 | Bryn Maybury | Drillers (LMB) | LW | 2 | 0 | 1 | 1 | -1 | 2 | 0 | 0 | 3 | 2 | 2 | 0.00% | 1 | 19.60 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 40.00% | 0 | 0 | 0.50 | 0 | 0 | 0.11 | |||
| 14 | Jovin Coish | Drillers (LMB) | D | 2 | 0 | 0 | 0 | 1 | 12 | 10 | 1 | 4 | 0 | 0 | 0.00% | 4 | 20.97 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.65 | |||
| 15 | Kazimir Papazov | Drillers (LMB) | D | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 1 | 0.00% | 2 | 21.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.54 | |||
| 16 | Maksim Ushkov | Drillers (LMB) | D | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 2 | 1 | 0 | 0.00% | 2 | 16.31 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.24 | |||
| 17 | Francois Walrod | Drillers (LMB) | LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | 2 | 4 | 0.00% | 0 | 15.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.45 | |||
| 18 | Ken Arn | Drillers (LMB) | RW | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 5 | 0 | 3 | 0.00% | 2 | 21.41 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | |||
| Team Total or Average | 36 | 5 | 9 | 14 | -5 | 36 | 30 | 39 | 73 | 24 | 34 | 6.85% | 21 | 16.55 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 16 | 1 | 1 | 45.60% | 125 | 13 | 15 | 1 | 0 | 0.47 | 0 | 0 |
| 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 | Helgert Finke | Drillers (LMB) | 2 | 1 | 1 | 0 | 0.898 | 3.00 | 120 | 0 | 0 | 6 | 59 | 28 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
| Team Total or Average | 2 | 1 | 1 | 0 | 0.898 | 3.00 | 120 | 0 | 0 | 6 | 59 | 28 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Benedikt Hedqvist ![]() | LW | 29 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Bryn Maybury | LW | 18 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Cullen Varty | G | 22 | 1,550,000$ | 1,550,000$ | 1,550,000$ | 1,550,000$ | 1,550,000$ | 1,550,000$ | |||
Danny Gourlie ![]() | RW | 30 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Derek Hemmerling | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Elias Dansereau | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
Erick Propp | RW | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | ||||
Francois Walrod ![]() | LW | 25 | 1,990,000$ | 1,990,000$ | 1,990,000$ | ||||||
Geun Sang-Pil | LW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||
Helgert Finke | G | 21 | 1,000,000$ | 1,000,000$ | |||||||
Jared Tallon | RW | 24 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | |||
Jari-Henri Maki-Asiala | LW | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Jovin Coish ![]() | D | 32 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
Julien Ghantous ![]() | C | 29 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||||
Kaarl Kontturi ![]() | C | 30 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||
Karl Lindfors | D | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||
Kazimir Papazov | D | 24 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | |||||
Ken Arn | RW | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Libor Hill ![]() | D | 31 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||||
Loughlin Dowe ![]() | RW | 25 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | ||||
Maksim Ushkov ![]() | D | 27 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||||
Manuel Albertazzi ![]() | D | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Nikita Darsky | C | 21 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Paulo Keitaanranta ![]() | G | 29 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | |||||
Primo Mcdowell | LW | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | |||
Rietrikki Ulrich | D | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
Val Macmurdo | C | 22 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | 875,000$ | ||||
Valentin Timkin | C | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
Washington Banker | RW | 23 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||
Yaroslav Anokin ![]() | D | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ |
| 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 | Rampage | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 0 | 4 | 0 | 40 | 16 | 28 | 29 | 0 | 29 | 12 | 19 | 24 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 21 | 52 | 40.38% | 20 | 36 | 55.56% | 16 | 37 | 43.24% | 42 | 24 | 41 | 17 | 35 | 17 | 66.7% | 10.0% | 93.1% | 103.1 | LUCKY |
| 2 | Guppies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 4 | 0 | 33 | 16 | 28 | 29 | 0 | 30 | 9 | 17 | 15 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 21 | 52 | 40.38% | 20 | 36 | 55.56% | 16 | 37 | 43.24% | 42 | 24 | 41 | 17 | 35 | 17 | 20.0% | 3.0% | 86.7% | 89.7 | Unlucky |
| _Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 4 | 0 | 33 | 16 | 28 | 29 | 0 | 30 | 9 | 17 | 15 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 21 | 52 | 40.38% | 20 | 36 | 55.56% | 16 | 37 | 43.24% | 42 | 24 | 41 | 17 | 35 | 17 | 20.0% | 3.0% | 86.7% | 89.7 | Unlucky | |
| _Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 0 | 4 | 0 | 73 | 16 | 28 | 29 | 0 | 59 | 21 | 36 | 39 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 21 | 52 | 40.38% | 20 | 36 | 55.56% | 16 | 37 | 43.24% | 42 | 24 | 41 | 17 | 35 | 17 | 45.5% | 6.8% | 89.8% | 96.7 | Unlucky | |
| Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 0 | 4 | 0 | 73 | 16 | 28 | 29 | 0 | 59 | 21 | 36 | 39 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 21 | 52 | 40.38% | 20 | 36 | 55.56% | 16 | 37 | 43.24% | 42 | 24 | 41 | 17 | 35 | 17 | 45.5% | 6.8% | 89.8% | 96.7 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 20 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 52 |
| Neutral Zone Start | 37 |
| Defensive Zone Start | 36 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 57 |
| Faceoffs Lost | 68 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.0 | 9.57 |
| 2nd Period | 22.0 | 20.31 |
| 3rd Period | 36.5 | 30.68 |
| Overtime | 36.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 0.5 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 5 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 1 | 0 |
| Lost | 0 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 4 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 3 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | 36.5 |
| Shots Against | 29.5 |
| Goals For | 2.5 |
| Goals Against | 3.0 |
| Hits | 19.5 |
| Shots Blocked | 10.5 |
| Pim | 18.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,826,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Medicine Hat | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 2881 | 2000 | |||
| Attendance PCT | 96.03% | 100.00% | 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 |
| 39 | 4881 - 97.62% | 170,085$ | 170,085$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,826,500$ | 3,826,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 102,582$ | 3,826,500$ | 78,093$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 6,633,315$ | 144 | 34,194$ | 4,923,936$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 4,923,936$ | 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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