| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 28 | 12 | 13 | 3 | 27 |
GM: Neil Oliver Y3 WJT gold |
League Rank:17th | Arena: Grande Prairie Arena |
| Conference: Western Conference | Conference Rank:10th | Capacity:5,000 |
| Division: Northwest | Division Rank:3rd | Total Player Salaries:4,450,827$ |
| Captain: Keaton Kanji | Last 10: 4-6-0 | |
| Coach: Mehdi Winberg | Home: 5-7-2 | |
| All-Time Record: 208 W - 144 L - 48 OTL | Away: 5-6-1 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Barnabas Vilezsal (A) | 58 | RW | 100.00 | 87 | 62 | 80 | 99 | 98 | 99 | 97 | 72 | 62 | 64 | 85 | 40 | 69 | 57 | 59 | 29 | 50 | 80 | 30 | 1,999,999$/2yrs | |||
Philippe-Olivier Jansen | 17 | LW | 100.00 | 78 | 42 | 73 | 85 | 89 | 86 | 84 | 80 | 71 | 80 | 55 | 93 | 77 | 32 | 80 | 52 | 50 | 80 | 25 | 1,800,000$/4yrs | |||
Vaidas Indrisiunas | 71 | RW | 100.00 | 72 | 48 | 72 | 95 | 99 | 67 | 74 | 86 | 56 | 76 | 73 | 76 | 44 | 66 | 53 | 49 | 50 | 78 | 26 | 1,900,000$/3yrs | |||
Johannes Wilhelmsson | 9 | RW | 100.00 | 75 | 42 | 81 | 92 | 78 | 65 | 83 | 69 | 70 | 84 | 60 | 83 | 83 | 50 | 63 | 7 | 50 | 77 | 34 | 1,999,999$/2yrs | |||
Frederic Maidens | 16 | LW | 100.00 | 37 | 55 | 77 | 99 | 52 | 99 | 88 | 97 | 58 | 87 | 59 | 55 | 70 | 54 | 87 | 22 | 50 | 77 | 30 | 1,960,000$/3yrs | |||
Olaf Brieger | 19 | C | 100.00 | 30 | 44 | 64 | 72 | 66 | 67 | 69 | 94 | 91 | 94 | 75 | 96 | 68 | 92 | 72 | 57 | 50 | 77 | 23 | 800,000$/1yrs | |||
Leyman Shaeffer (R) | 11 | C | 100.00 | 31 | 46 | 74 | 99 | 68 | 89 | 93 | 84 | 71 | 73 | 63 | 63 | 45 | 80 | 63 | 60 | 50 | 76 | 24 | 1,666,000$/2yrs | |||
Dan Strom | 47 | LW | 100.00 | 45 | 57 | 85 | 97 | 82 | 83 | 65 | 95 | 80 | 40 | 86 | 82 | 38 | 50 | 56 | 36 | 50 | 76 | 29 | 1,500,000$/2yrs | |||
Dauren Abdykarimov | 20 | RW | 100.00 | 77 | 41 | 58 | 85 | 55 | 78 | 92 | 83 | 68 | 69 | 68 | 78 | 38 | 55 | 48 | 48 | 50 | 74 | 27 | 1,162,085$/5yrs | |||
Olan Koch (R) | 27 | LW | 100.00 | 77 | 59 | 59 | 76 | 89 | 80 | 66 | 67 | 64 | 80 | 60 | 85 | 66 | 79 | 77 | 70 | 50 | 74 | 19 | 800,000$/3yrs | |||
Vyacheslav Burdelyov | 13 | C | 100.00 | 70 | 33 | 66 | 92 | 73 | 70 | 85 | 71 | 97 | 57 | 84 | 52 | 36 | 64 | 40 | 46 | 50 | 73 | 26 | 1,170,000$/3yrs | |||
Culley Daggett (R) | 68 | D | 100.00 | 68 | 60 | 80 | 67 | 97 | 99 | 78 | 75 | 25 | 50 | 63 | 77 | 38 | 37 | 80 | 60 | 50 | 76 | 22 | 1,800,000$/5yrs | |||
Eli Pajaczkowski | 4 | D | 100.00 | 40 | 55 | 90 | 90 | 69 | 79 | 96 | 90 | 25 | 50 | 59 | 99 | 72 | 95 | 60 | 37 | 50 | 75 | 27 | 1,917,444$/1yrs | |||
Kody Holles | 50 | D | 100.00 | 58 | 59 | 63 | 85 | 55 | 82 | 71 | 89 | 25 | 91 | 51 | 80 | 79 | 88 | 53 | 16 | 50 | 72 | 33 | 1,313,819$/2yrs | |||
Marcos Pendlebury | 52 | D | 100.00 | 45 | 55 | 60 | 95 | 73 | 95 | 50 | 91 | 25 | 54 | 57 | 85 | 60 | 61 | 55 | 50 | 50 | 71 | 25 | 1,800,900$/4yrs | |||
Borge Bakke (R) | 3 | D | 100.00 | 81 | 67 | 67 | 73 | 81 | 80 | 77 | 55 | 64 | 41 | 59 | 77 | 60 | 69 | 76 | 82 | 50 | 71 | 22 | 1,450,900$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Griffin Froats | 18 | RW | 100.00 | 83 | 63 | 54 | 85 | 86 | 96 | 97 | 82 | 72 | 72 | 47 | 77 | 79 | 43 | 53 | 57 | 50 | 78 | 24 | 1,787,131$/5yrs | |||
Jerry Malmkvist | 87 | LW | 100.00 | 52 | 39 | 85 | 79 | 98 | 69 | 78 | 70 | 64 | 69 | 80 | 91 | 48 | 67 | 48 | 60 | 50 | 77 | 24 | 1,700,000$/4yrs | |||
Wade OCuirneen | 61 | RW | 100.00 | 86 | 41 | 89 | 96 | 76 | 66 | 91 | 59 | 49 | 81 | 57 | 82 | 89 | 99 | 89 | 27 | 50 | 76 | 29 | 1,700,000$/2yrs | |||
Keaton Kanji (C) | 24 | C | 94.25 | 67 | 56 | 73 | 60 | 49 | 99 | 69 | 83 | 85 | 99 | 49 | 87 | 96 | 81 | 38 | 12 | 50 | 76 | 33 | 1,400,000$/2yrs | |||
Dempsey Roos | 88 | LW | 100.00 | 46 | 59 | 72 | 68 | 51 | 96 | 63 | 68 | 48 | 91 | 82 | 96 | 63 | 90 | 47 | 47 | 50 | 74 | 28 | 1,700,000$/5yrs | |||
Marten Samways (R) | 44 | C | 100.00 | 67 | 29 | 77 | 83 | 94 | 64 | 99 | 65 | 58 | 70 | 56 | 69 | 40 | 52 | 42 | 59 | 50 | 74 | 21 | 1,000,000$/2yrs | |||
Myles Baron (R) | 51 | RW | 100.00 | 87 | 46 | 58 | 62 | 54 | 92 | 63 | 61 | 82 | 82 | 43 | 76 | 58 | 70 | 33 | 69 | 50 | 69 | 21 | 900,000$/3yrs | |||
Douwe Hoefnagels | 67 | D | 86.38 | 61 | 41 | 89 | 89 | 98 | 95 | 73 | 92 | 25 | 55 | 58 | 82 | 49 | 45 | 91 | 48 | 50 | 78 | 25 | 1,999,999$/1yrs | |||
Vasilica Ciubotariu (R) | 6 | D | 100.00 | 70 | 53 | 80 | 75 | 87 | 89 | 93 | 94 | 25 | 43 | 47 | 73 | 91 | 86 | 91 | 61 | 50 | 75 | 24 | 1,375,000$/1yrs | |||
Conny Ericsson | 82 | D | 100.00 | 54 | 46 | 74 | 91 | 86 | 93 | 85 | 88 | 25 | 48 | 48 | 72 | 93 | 94 | 91 | 6 | 50 | 74 | 35 | 1,955,000$/1yrs | |||
Branislav Pecnik | 34 | D | 100.00 | 78 | 63 | 56 | 64 | 59 | 79 | 58 | 65 | 62 | 69 | 73 | 68 | 71 | 71 | 64 | 84 | 50 | 67 | 21 | 1,700,000$/4yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rylee Hak | 1 | 100.00 | 92 | 76 | 93 | 83 | 86 | 89 | 83 | 66 | 62 | 65 | 57 | 69 | 51 | 67 | 50 | 80 | 23 | 1,950,000$/1yrs |
Tord Tourula | 45 | 100.00 | 82 | 66 | 96 | 69 | 99 | 81 | 81 | 66 | 72 | 52 | 90 | 84 | 29 | 60 | 50 | 76 | 24 | 1,400,000$/2yrs |
| Scratches | ||||||||||||||||||||
Visa-Antti Reimavuo | 33 | 100.00 | 82 | 55 | 99 | 89 | 78 | 78 | 81 | 82 | 58 | 61 | 95 | 90 | 99 | 29 | 50 | 76 | 30 | 1,500,000$/2yrs |
Fredrik Becken | 40 | 100.00 | 68 | 76 | 73 | 69 | 81 | 77 | 75 | 69 | 73 | 82 | 63 | 79 | 80 | 56 | 50 | 74 | 19 | 800,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Mehdi Winberg | 62 | 62 | 90 | 35 | 97 | 89 | 55 | SWE | 68 | 1 | 600,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Neil Oliver |
|---|
| 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 | Vaidas Indrisiunas | Yeti (CHA) | RW | 27 | 15 | 14 | 29 | 8 | 30 | 20 | 62 | 80 | 32 | 59 | 18.75% | 6 | 17.38 | 0.00 | 5 | 4 | 9 | 0 | 0 | 0 | 0 | 2 | 1 | 36.84% | 0 | 1 | 1.07 | 0 | 1 | 1.01 | ||
| 2 | Dan Strom | Yeti (CHA) | LW | 28 | 19 | 7 | 26 | 13 | 30 | 30 | 9 | 98 | 23 | 51 | 19.39% | 14 | 17.04 | 0.00 | 4 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 53.13% | 0 | 0 | 0.93 | 0 | 0 | 0.97 | ||
| 3 | Keaton Kanji | Yeti (CHA) | C | 28 | 6 | 14 | 20 | 1 | 19 | 15 | 42 | 43 | 11 | 30 | 13.95% | 4 | 17.91 | 0.00 | 1 | 1 | 2 | 0 | 0 | 0 | 29 | 2 | 0 | 51.78% | 0 | 0 | 0.71 | 1 | 1 | 0.54 | ||
| 4 | Frederic Maidens | Yeti (CHA) | LW | 25 | 8 | 10 | 18 | -7 | 15 | 15 | 6 | 63 | 23 | 42 | 12.70% | 6 | 15.03 | 0.00 | 4 | 3 | 7 | 0 | 0 | 0 | 4 | 1 | 1 | 35.71% | 0 | 0 | 0.72 | 1 | 1 | 0.55 | ||
| 5 | Olaf Brieger | Yeti (CHA) | C | 15 | 6 | 7 | 13 | -1 | 2 | 0 | 8 | 34 | 11 | 21 | 17.65% | 6 | 17.55 | 0.00 | 0 | 4 | 4 | 0 | 0 | 0 | 13 | 1 | 1 | 56.97% | 0 | 0 | 0.87 | 0 | 0 | 0.80 | ||
| 6 | Leyman Shaeffer | Yeti (CHA) | C | 28 | 5 | 6 | 11 | -9 | 17 | 15 | 1 | 60 | 17 | 43 | 8.33% | 15 | 12.64 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 46.35% | 0 | 0 | 0.39 | 0 | 0 | 0.26 | ||
| 7 | Dauren Abdykarimov | Yeti (CHA) | RW | 25 | 6 | 4 | 10 | 3 | 11 | 5 | 45 | 78 | 18 | 33 | 7.69% | 6 | 14.31 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 0 | 0 | 0.40 | 0 | 0 | 0.56 | ||
| 8 | Douwe Hoefnagels | Yeti (CHA) | D | 26 | 2 | 8 | 10 | -5 | 10 | 10 | 25 | 35 | 18 | 13 | 5.71% | 27 | 22.60 | 0.00 | 1 | 2 | 3 | 0 | 0 | 0 | 20 | 1 | 0 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.29 | ||
| 9 | Barnabas Vilezsal | Yeti (CHA) | RW | 21 | 7 | 2 | 9 | -6 | 5 | 5 | 59 | 42 | 11 | 29 | 16.67% | 5 | 16.50 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 51.52% | 0 | 0 | 0.43 | 0 | 1 | 0.43 | ||
| 10 | Philippe-Olivier Jansen | Yeti (CHA) | LW | 19 | 1 | 8 | 9 | -8 | 6 | 0 | 43 | 41 | 16 | 29 | 2.44% | 8 | 15.91 | 0.00 | 1 | 3 | 4 | 0 | 0 | 0 | 16 | 0 | 0 | 43.75% | 0 | 0 | 0.47 | 1 | 1 | 0.38 | ||
| 11 | Eli Pajaczkowski | Yeti (CHA) | D | 26 | 0 | 8 | 8 | -6 | 10 | 10 | 7 | 34 | 11 | 11 | 0.00% | 21 | 20.55 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0.31 | 0 | 0 | 0.17 | ||
| 12 | Borge Bakke | Yeti (CHA) | D | 25 | 0 | 8 | 8 | 2 | 69 | 35 | 50 | 17 | 6 | 12 | 0.00% | 37 | 17.80 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.32 | 0 | 0 | -0.09 | ||
| 13 | Griffin Froats | Yeti (CHA) | RW | 19 | 3 | 3 | 6 | -10 | 26 | 20 | 61 | 27 | 10 | 12 | 11.11% | 5 | 13.87 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 47.62% | 0 | 0 | 0.32 | 1 | 1 | 0.01 | ||
| 14 | Culley Daggett | Yeti (CHA) | D | 28 | 0 | 6 | 6 | -2 | 22 | 20 | 31 | 28 | 17 | 11 | 0.00% | 31 | 21.47 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.12 | ||
| 15 | Vyacheslav Burdelyov | Yeti (CHA) | C | 21 | 1 | 3 | 4 | -7 | 4 | 0 | 27 | 28 | 4 | 15 | 3.57% | 1 | 10.95 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 52.90% | 0 | 0 | 0.19 | 0 | 0 | 0.12 | ||
| 16 | Vasilica Ciubotariu | Yeti (CHA) | D | 19 | 0 | 4 | 4 | -4 | 41 | 15 | 25 | 24 | 6 | 7 | 0.00% | 20 | 21.21 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 1 | -0.16 | ||
| 17 | Conny Ericsson | Yeti (CHA) | D | 14 | 1 | 3 | 4 | -1 | 0 | 0 | 7 | 10 | 5 | 6 | 10.00% | 12 | 19.16 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.26 | ||
| 18 | Johannes Wilhelmsson | Yeti (CHA) | RW | 11 | 0 | 3 | 3 | -3 | 0 | 0 | 13 | 9 | 2 | 5 | 0.00% | 3 | 10.59 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 0 | 0 | 0.27 | 0 | 0 | 0.18 | ||
| 19 | Wade OCuirneen | Yeti (CHA) | RW | 10 | 1 | 2 | 3 | -1 | 5 | 5 | 19 | 12 | 4 | 7 | 8.33% | 3 | 12.78 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 35.71% | 0 | 0 | 0.30 | 0 | 0 | 0.24 | ||
| 20 | Kody Holles | Yeti (CHA) | D | 6 | 0 | 3 | 3 | 1 | 7 | 5 | 4 | 6 | 2 | 2 | 0.00% | 7 | 17.32 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.33 | ||
| 21 | Marcos Pendlebury | Yeti (CHA) | D | 12 | 1 | 2 | 3 | -5 | 17 | 5 | 6 | 16 | 1 | 8 | 6.25% | 18 | 16.24 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.04 | ||
| 22 | Jerry Malmkvist | Yeti (CHA) | LW | 11 | 1 | 1 | 2 | -3 | 2 | 0 | 7 | 13 | 3 | 9 | 7.69% | 0 | 10.76 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 28.57% | 0 | 0 | 0.18 | 0 | 0 | 0.11 | ||
| 23 | Marten Samways | Yeti (CHA) | C | 4 | 0 | 1 | 1 | -1 | 0 | 0 | 4 | 2 | 0 | 1 | 0.00% | 1 | 6.26 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 0 | 0 | 0.25 | 0 | 0 | 0.15 | ||
| 24 | Olan Koch | Yeti (CHA) | LW | 9 | 0 | 1 | 1 | -2 | 4 | 0 | 11 | 9 | 4 | 2 | 0.00% | 3 | 14.37 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 33.33% | 0 | 0 | 0.11 | 0 | 0 | 0.03 | ||
| 25 | Branislav Pecnik | Yeti (CHA) | D | 5 | 0 | 1 | 1 | -3 | 17 | 5 | 7 | 4 | 1 | 3 | 0.00% | 2 | 17.43 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | -0.55 | ||
| Team Total or Average | 462 | 83 | 129 | 212 | -56 | 369 | 235 | 579 | 813 | 256 | 461 | 10.21% | 261 | 16.63 | 20 | 23 | 43 | 495 | 0 | 0 | 0 | 216 | 11 | 5 | 50.54% | 1377 | 194 | 208 | 0 | 1 | 0.55 | 4 | 7 |
| 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 | Rylee Hak | Yeti (CHA) | 13 | 6 | 6 | 1 | 0.906 | 2.89 | 788 | 0 | 0 | 38 | 405 | 181 | 3 | 0 | 0.667 | 9 | 13 | 7 | 2 | 0 | 0 |
| 2 | Tord Tourula | Yeti (CHA) | 10 | 5 | 4 | 1 | 0.884 | 3.39 | 602 | 0 | 0 | 34 | 293 | 123 | 1 | 0 | 0.000 | 0 | 10 | 14 | 0 | 0 | 0 |
| 3 | Fredrik Becken | Yeti (CHA) | 3 | 1 | 2 | 0 | 0.867 | 5.33 | 180 | 0 | 0 | 16 | 120 | 72 | 0 | 0 | 0.000 | 0 | 3 | 6 | 0 | 0 | 0 |
| 4 | Visa-Antti Reimavuo | Yeti (CHA) | 2 | 0 | 1 | 1 | 0.864 | 4.00 | 120 | 0 | 0 | 8 | 59 | 30 | 0 | 0 | 0.000 | 0 | 2 | 1 | 0 | 0 | 0 |
| Team Total or Average | 28 | 12 | 13 | 3 | 0.891 | 3.40 | 1692 | 0 | 0 | 96 | 877 | 406 | 4 | 0 | 0.667 | 9 | 28 | 28 | 2 | 0 | 0 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Barnabas Vilezsal ![]() | RW | 30 | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||||
Borge Bakke | D | 22 | 1,450,900$ | 1,450,900$ | 1,450,900$ | 1,450,900$ | 1,450,900$ | ||||
Branislav Pecnik | D | 21 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||
Conny Ericsson ![]() | D | 35 | 1,955,000$ | 1,955,000$ | |||||||
Culley Daggett | D | 22 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | |||
Dan Strom ![]() | LW | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Dauren Abdykarimov ![]() | RW | 27 | 1,162,085$ | 1,162,085$ | 1,162,085$ | 1,162,085$ | 1,162,085$ | 1,162,085$ | |||
Dempsey Roos ![]() | LW | 28 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | |||
Douwe Hoefnagels ![]() | D | 25 | 1,999,999$ | 1,999,999$ | |||||||
Eli Pajaczkowski ![]() | D | 27 | 1,917,444$ | 1,917,444$ | |||||||
Frederic Maidens ![]() | LW | 30 | 1,960,000$ | 1,960,000$ | 1,960,000$ | 1,960,000$ | |||||
Fredrik Becken | G | 19 | 800,000$ | 800,000$ | 800,000$ | ||||||
Griffin Froats | RW | 24 | 1,787,131$ | 1,787,131$ | 1,787,131$ | 1,787,131$ | 1,787,131$ | 1,787,131$ | |||
Jerry Malmkvist | LW | 24 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||
Johannes Wilhelmsson ![]() | RW | 34 | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||||
Keaton Kanji ![]() | C | 33 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Kody Holles ![]() | D | 33 | 1,313,819$ | 1,313,819$ | 1,313,819$ | ||||||
Leyman Shaeffer | C | 24 | 1,666,000$ | 1,666,000$ | 1,666,000$ | ||||||
Marcos Pendlebury ![]() | D | 25 | 1,800,900$ | 1,800,900$ | 1,800,900$ | 1,800,900$ | 1,800,900$ | ||||
Marten Samways | C | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Myles Baron | RW | 21 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Olaf Brieger | C | 23 | 800,000$ | 800,000$ | |||||||
Olan Koch | LW | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Philippe-Olivier Jansen ![]() | LW | 25 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||
Rylee Hak | G | 23 | 1,950,000$ | 1,950,000$ | |||||||
Tord Tourula | G | 24 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Vaidas Indrisiunas ![]() | RW | 26 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | |||||
Vasilica Ciubotariu | D | 24 | 1,375,000$ | 1,375,000$ | |||||||
Visa-Antti Reimavuo ![]() | G | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Vyacheslav Burdelyov ![]() | C | 26 | 1,170,000$ | 1,170,000$ | 1,170,000$ | 1,170,000$ | |||||
Wade OCuirneen ![]() | RW | 29 | 1,700,000$ | 1,700,000$ | 1,700,000$ |
| 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 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 8 | 6 | 4 | 0.667 | 14 | 20 | 34 | 0 | 0 | 26 | 30 | 34 | 4 | 89 | 275 | 306 | 300 | 17 | 106 | 31 | 71 | 58 | 11 | 4 | 36.36% | 3 | 1 | 66.67% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 58.8% | 15.7% | 92.5% | 108.2 | LUCKY |
| 2 | Rampage | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 26 | 30 | 34 | 4 | 24 | 275 | 306 | 300 | 17 | 26 | 10 | 36 | 29 | 0 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 50.0% | 8.3% | 84.6% | 92.9 | Unlucky |
| 3 | Wolverines | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 26 | 30 | 34 | 4 | 61 | 275 | 306 | 300 | 17 | 73 | 27 | 24 | 47 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 44.4% | 8.2% | 93.2% | 101.3 | DULL |
| 4 | Comets | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 26 | 30 | 34 | 4 | 39 | 275 | 306 | 300 | 17 | 28 | 11 | 7 | 27 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 44.4% | 15.4% | 82.1% | 97.5 | FUN |
| 5 | Bulldogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 26 | 30 | 34 | 4 | 37 | 275 | 306 | 300 | 17 | 25 | 7 | 14 | 19 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 57.1% | 16.2% | 84.0% | 100.2 | FUN |
| 6 | Rock | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 26 | 30 | 34 | 4 | 52 | 275 | 306 | 300 | 17 | 54 | 23 | 27 | 54 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 28.6% | 5.8% | 90.7% | 96.5 | Unlucky |
| 7 | Auroras | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 26 | 30 | 34 | 4 | 45 | 275 | 306 | 300 | 17 | 19 | 4 | 12 | 20 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 66.7% | 13.3% | 78.9% | 92.3 | FUN |
| 8 | Hornets | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 10 | 18 | 0 | 0 | 26 | 30 | 34 | 4 | 58 | 275 | 306 | 300 | 17 | 63 | 27 | 6 | 42 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 50.0% | 13.8% | 87.3% | 101.1 | FUN |
| 9 | Wolfpack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 26 | 30 | 34 | 4 | 32 | 275 | 306 | 300 | 17 | 34 | 10 | 38 | 31 | 3 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 33.3% | 3.1% | 85.3% | 88.4 | Unlucky |
| 10 | Vipers | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 7 | -4 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 26 | 30 | 34 | 4 | 68 | 275 | 306 | 300 | 17 | 60 | 24 | 4 | 35 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 30.0% | 4.4% | 88.3% | 92.7 | Unlucky |
| 11 | Devils | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 7 | 12 | 0 | 0 | 26 | 30 | 34 | 4 | 66 | 275 | 306 | 300 | 17 | 65 | 21 | 21 | 52 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 45.5% | 7.6% | 89.2% | 96.8 | Unlucky |
| 12 | Guppies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 26 | 30 | 34 | 4 | 26 | 275 | 306 | 300 | 17 | 30 | 8 | 7 | 19 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 50.0% | 11.5% | 93.3% | 104.9 | LUCKY |
| 13 | Stingers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 26 | 30 | 34 | 4 | 24 | 275 | 306 | 300 | 17 | 24 | 6 | 31 | 29 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 66.7% | 12.5% | 91.7% | 104.2 | LUCKY |
| 14 | Schooners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 26 | 30 | 34 | 4 | 79 | 275 | 306 | 300 | 17 | 67 | 20 | 33 | 36 | 3 | 2 | 66.67% | 4 | 2 | 50.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 50.0% | 8.9% | 89.6% | 98.4 | Unlucky |
| 15 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 26 | 30 | 34 | 4 | 61 | 275 | 306 | 300 | 17 | 70 | 25 | 31 | 44 | 9 | 1 | 11.11% | 3 | 1 | 66.67% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 46.7% | 13.1% | 87.1% | 100.3 | FUN |
| 16 | Drillers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 26 | 30 | 34 | 4 | 69 | 275 | 306 | 300 | 17 | 65 | 21 | 9 | 48 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 28.6% | 4.3% | 92.3% | 96.7 | DULL |
| 17 | Swamp Puppies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 26 | 30 | 34 | 4 | 59 | 275 | 306 | 300 | 17 | 68 | 15 | 21 | 48 | 7 | 3 | 42.86% | 3 | 0 | 100.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 37.5% | 15.3% | 85.3% | 100.5 | FUN |
| _Vs Division | 5 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 16 | -4 | 8 | 0.800 | 12 | 19 | 31 | 0 | 0 | 26 | 30 | 34 | 4 | 165 | 275 | 306 | 300 | 17 | 133 | 51 | 43 | 109 | 9 | 1 | 11.11% | 4 | 1 | 75.00% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 42.3% | 7.3% | 88.0% | 95.2 | Unlucky | |
| _Vs Conference | 18 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 56 | 60 | -4 | 16 | 0.444 | 56 | 86 | 142 | 0 | 0 | 26 | 30 | 34 | 4 | 575 | 275 | 306 | 300 | 17 | 585 | 198 | 223 | 396 | 47 | 8 | 17.02% | 24 | 7 | 70.83% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 47.5% | 9.7% | 89.7% | 99.5 | FUN | |
| _Since Last GM Reset | 28 | 10 | 13 | 0 | 1 | 2 | 1 | 1 | 92 | 97 | -5 | 27 | 0.482 | 92 | 145 | 237 | 0 | 0 | 26 | 30 | 34 | 4 | 889 | 275 | 306 | 300 | 17 | 877 | 290 | 392 | 638 | 69 | 19 | 27.54% | 41 | 13 | 68.29% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 46.5% | 10.3% | 88.9% | 99.3 | FUN | |
| Total | 28 | 10 | 13 | 0 | 1 | 2 | 1 | 1 | 92 | 97 | -5 | 27 | 0.482 | 92 | 145 | 237 | 0 | 0 | 26 | 30 | 34 | 4 | 889 | 275 | 306 | 300 | 17 | 877 | 290 | 392 | 638 | 69 | 19 | 27.54% | 41 | 13 | 68.29% | 0 | 297 | 577 | 51.47% | 297 | 595 | 49.92% | 242 | 456 | 53.07% | 623 | 379 | 585 | 240 | 484 | 245 | 46.5% | 10.3% | 88.9% | 99.3 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 17 |
| Defensive Zone | 20 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 577 |
| Neutral Zone Start | 456 |
| Defensive Zone Start | 595 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 836 |
| Faceoffs Lost | 792 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.8 | 9.57 |
| 2nd Period | 20.8 | 20.31 |
| 3rd Period | 31.5 | 30.68 |
| Overtime | 32.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 3.2 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 73 |
|---|---|
| PP Goal | 19 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 5 | 7 |
| Lost | 7 | 6 |
| Overtime Lost | 2 | 1 |
| PP Attempt | 69 |
|---|---|
| PP Goal | 19 |
| PK Attempt | 41 |
| PK Goal Against | 13 |
| Home | |
|---|---|
| Shots For | 31.8 |
| Shots Against | 31.3 |
| Goals For | 3.3 |
| Goals Against | 3.5 |
| Hits | 22.8 |
| Shots Blocked | 10.4 |
| Pim | 14.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,450,827$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Grande Prairie | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 40$ | 20$ | $ | $ | $ |
| Attendance | 28264 | 16445 | |||
| Attendance PCT | 67.30% | 58.73% | 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 |
| 26 | 3194 - 63.87% | 135,521$ | 1,897,298$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,450,827$ | 4,450,827$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,764,591$ | 4,450,827$ | 1,564,588$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 3,523,553$ | 98 | 34,359$ | 3,367,182$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,367,182$ | 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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Keaton Kanji is out for 1 days because of a Sprained Left Ankle Injury.
Douwe Hoefnagels is out for 1 week because of a Right Leg Injury.
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