| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 54 | 28 | 20 | 6 | 62 |
GM: Neil Oliver Y3 WJT gold |
League Rank:12nd | Arena: Grande Prairie Arena |
| Conference: Western Conference | Conference Rank:8th | Capacity:5,000 |
| Division: Northwest | Division Rank:2nd | Total Player Salaries:5,600,960$ |
| Captain: Keaton Kanji | Last 10: 6-3-0 | |
| Coach: Mehdi Winberg | Home: 12-10-4 | |
| All-Time Record: 208 W - 144 L - 48 OTL | Away: 13-10-2 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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$/4yrs | |||
Roch Fingland | 55 | LW | 100.00 | 50 | 44 | 73 | 82 | 98 | 59 | 86 | 94 | 50 | 92 | 57 | 79 | 86 | 70 | 81 | 45 | 50 | 78 | 26 | 1,432,286$/1yrs | |||
Vaidas Indrisiunas | 71 | RW | 98.20 | 72 | 48 | 72 | 95 | 99 | 67 | 74 | 86 | 56 | 76 | 73 | 76 | 44 | 66 | 53 | 49 | 50 | 78 | 26 | 1,900,000$/3yrs | |||
Griffin Froats | 18 | RW | 100.00 | 83 | 63 | 54 | 85 | 86 | 96 | 97 | 82 | 72 | 72 | 47 | 77 | 79 | 43 | 53 | 57 | 50 | 78 | 24 | 1,787,131$/5yrs | |||
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$/2yrs | |||
Keaton Kanji (C) | 24 | C | 100.00 | 67 | 56 | 73 | 60 | 49 | 99 | 69 | 83 | 85 | 99 | 49 | 87 | 96 | 81 | 38 | 12 | 50 | 76 | 33 | 1,400,000$/2yrs | |||
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 | |||
Ivan Rutgersson (R) | 0 | LW | 100.00 | 43 | 54 | 89 | 81 | 87 | 93 | 62 | 85 | 82 | 54 | 84 | 85 | 51 | 91 | 50 | 65 | 50 | 76 | 22 | 900,000$/1yrs | |||
Dauren Abdykarimov | 20 | RW | 100.00 | 77 | 41 | 58 | 85 | 55 | 78 | 92 | 83 | 68 | 69 | 68 | 78 | 38 | 55 | 48 | 48 | 50 | 74 | 27 | 1,162,085$/5yrs | |||
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$/2yrs | |||
Oskar Carlsson | 31 | C | 100.00 | 53 | 34 | 99 | 85 | 94 | 63 | 59 | 88 | 96 | 75 | 45 | 57 | 75 | 92 | 44 | 33 | 50 | 73 | 27 | 1,600,000$/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$/1yrs | |||
Eli Pajaczkowski | 4 | D | 100.00 | 40 | 55 | 90 | 90 | 69 | 79 | 96 | 90 | 25 | 50 | 59 | 99 | 72 | 95 | 60 | 37 | 50 | 75 | 27 | 1,917,444$/1yrs | |||
Jonatan Klingvall | 0 | D | 100.00 | 44 | 59 | 83 | 68 | 76 | 89 | 71 | 79 | 25 | 86 | 50 | 85 | 67 | 93 | 50 | 30 | 50 | 74 | 29 | 1,277,730$/2yrs | |||
Kody Holles | 50 | D | 100.00 | 58 | 59 | 63 | 85 | 55 | 82 | 71 | 89 | 25 | 91 | 51 | 80 | 79 | 88 | 53 | 16 | 50 | 72 | 33 | 1,313,819$/2yrs | |||
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$/4yrs | |||
Aatami Horppu | 76 | D | 100.00 | 37 | 70 | 86 | 98 | 56 | 72 | 87 | 83 | 25 | 58 | 48 | 78 | 90 | 59 | 46 | 26 | 50 | 70 | 30 | 1,271,301$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
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$/4yrs | |||
Frederic Maidens | 16 | LW | 100.00 | 37 | 55 | 77 | 99 | 52 | 99 | 88 | 97 | 58 | 87 | 59 | 55 | 70 | 54 | 87 | 22 | 50 | 77 | 30 | 1,960,000$/3yrs | |||
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$/3yrs | |||
Krister Sandell (R) | 14 | LW | 100.00 | 42 | 49 | 65 | 65 | 77 | 76 | 65 | 57 | 74 | 84 | 81 | 67 | 56 | 78 | 37 | 72 | 50 | 70 | 21 | 800,000$/3yrs | |||
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$/3yrs | |||
Marcos Pendlebury | 52 | D | 100.00 | 45 | 55 | 60 | 95 | 73 | 95 | 50 | 91 | 25 | 54 | 57 | 85 | 60 | 61 | 55 | 50 | 50 | 71 | 25 | 1,800,900$/4yrs | |||
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$/4yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tord Tourula | 45 | 100.00 | 82 | 66 | 96 | 69 | 99 | 81 | 81 | 66 | 72 | 52 | 90 | 84 | 29 | 60 | 50 | 76 | 24 | 1,400,000$/2yrs |
Fredrik Becken | 40 | 100.00 | 68 | 76 | 73 | 69 | 81 | 77 | 75 | 69 | 73 | 82 | 63 | 79 | 80 | 56 | 50 | 74 | 19 | 800,000$/2yrs |
| Scratches | ||||||||||||||||||||
Visa-Antti Reimavuo | 33 | 100.00 | 82 | 55 | 99 | 89 | 78 | 78 | 81 | 82 | 58 | 61 | 95 | 90 | 99 | 29 | 50 | 76 | 30 | 1,500,000$/2yrs |
| 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 | 51 | 24 | 25 | 49 | 7 | 30 | 20 | 112 | 175 | 55 | 122 | 13.71% | 24 | 17.73 | 0.00 | 8 | 8 | 16 | 0 | 0 | 0 | 1 | 3 | 1 | 40.28% | 0 | 1 | 0.96 | 0 | 1 | 1.01 | ||
| 2 | Dan Strom | Yeti (CHA) | LW | 52 | 28 | 14 | 42 | 7 | 35 | 35 | 21 | 181 | 45 | 95 | 15.47% | 22 | 17.29 | 0.00 | 8 | 1 | 9 | 0 | 0 | 0 | 4 | 2 | 2 | 54.24% | 0 | 0 | 0.81 | 0 | 0 | 0.84 | ||
| 3 | Keaton Kanji | Yeti (CHA) | C | 53 | 10 | 22 | 32 | -6 | 31 | 25 | 87 | 88 | 27 | 56 | 11.36% | 18 | 18.06 | 0.00 | 1 | 5 | 6 | 0 | 0 | 0 | 39 | 3 | 1 | 51.86% | 0 | 0 | 0.60 | 1 | 3 | 0.45 | ||
| 4 | Frederic Maidens | Yeti (CHA) | LW | 49 | 14 | 18 | 32 | -13 | 35 | 35 | 18 | 122 | 48 | 86 | 11.48% | 17 | 15.45 | 0.00 | 5 | 4 | 9 | 0 | 0 | 0 | 6 | 2 | 1 | 36.96% | 0 | 0 | 0.65 | 1 | 1 | 0.49 | ||
| 5 | Oskar Carlsson | Yeti (CHA) | C | 48 | 16 | 12 | 28 | -5 | 10 | 10 | 17 | 116 | 34 | 58 | 13.79% | 16 | 13.49 | 0.00 | 4 | 2 | 6 | 0 | 1 | 1 | 23 | 2 | 0 | 56.87% | 0 | 0 | 0.58 | 0 | 0 | 0.58 | ||
| 6 | Philippe-Olivier Jansen | Yeti (CHA) | LW | 42 | 8 | 19 | 27 | 3 | 13 | 5 | 89 | 90 | 27 | 56 | 8.89% | 16 | 15.89 | 0.00 | 1 | 3 | 4 | 0 | 0 | 0 | 25 | 2 | 1 | 36.11% | 0 | 0 | 0.64 | 1 | 1 | 0.65 | ||
| 7 | Ivan Rutgersson | Yeti (CHA) | LW | 49 | 11 | 14 | 25 | 14 | 35 | 35 | 19 | 85 | 35 | 68 | 12.94% | 23 | 17.58 | 0.00 | 2 | 2 | 4 | 0 | 0 | 0 | 64 | 3 | 2 | 60.00% | 0 | 0 | 0.51 | 0 | 1 | 0.51 | ||
| 8 | Leyman Shaeffer | Yeti (CHA) | C | 54 | 11 | 12 | 23 | -10 | 17 | 15 | 5 | 112 | 32 | 88 | 9.82% | 24 | 13.76 | 0.00 | 3 | 1 | 4 | 0 | 0 | 0 | 2 | 4 | 1 | 44.46% | 0 | 0 | 0.43 | 0 | 0 | 0.37 | ||
| 9 | Griffin Froats | Yeti (CHA) | RW | 44 | 11 | 12 | 23 | -5 | 37 | 25 | 126 | 67 | 28 | 48 | 16.42% | 15 | 14.36 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 4 | 1 | 0 | 42.86% | 0 | 0 | 0.52 | 1 | 3 | 0.40 | ||
| 10 | Dauren Abdykarimov | Yeti (CHA) | RW | 47 | 12 | 10 | 22 | 10 | 41 | 15 | 103 | 121 | 26 | 69 | 9.92% | 12 | 13.85 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 58.06% | 0 | 0 | 0.47 | 0 | 1 | 0.54 | ||
| 11 | Roch Fingland | Yeti (CHA) | LW | 42 | 8 | 13 | 21 | 0 | 20 | 20 | 26 | 80 | 16 | 41 | 10.00% | 13 | 13.05 | 0.00 | 0 | 2 | 2 | 0 | 1 | 1 | 33 | 0 | 0 | 33.33% | 0 | 0 | 0.50 | 0 | 2 | 0.44 | ||
| 12 | Kody Holles | Yeti (CHA) | D | 31 | 1 | 14 | 15 | 1 | 28 | 20 | 37 | 52 | 25 | 22 | 1.92% | 36 | 21.86 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.48 | 0 | 0 | 0.38 | ||
| 13 | Eli Pajaczkowski | Yeti (CHA) | D | 50 | 0 | 13 | 13 | -7 | 10 | 10 | 10 | 53 | 24 | 24 | 0.00% | 42 | 19.49 | 0.00 | 0 | 2 | 2 | 0 | 1 | 1 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.19 | ||
| 14 | Borge Bakke | Yeti (CHA) | D | 51 | 1 | 12 | 13 | 10 | 88 | 50 | 106 | 36 | 12 | 16 | 2.78% | 67 | 18.93 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.08 | ||
| 15 | Marten Samways | Yeti (CHA) | C | 22 | 2 | 10 | 12 | 8 | 2 | 0 | 18 | 19 | 4 | 17 | 10.53% | 2 | 11.45 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.62% | 0 | 0 | 0.55 | 0 | 0 | 0.56 | ||
| 16 | Jonatan Klingvall | Yeti (CHA) | D | 42 | 0 | 9 | 9 | 14 | 49 | 35 | 11 | 35 | 12 | 16 | 0.00% | 46 | 19.01 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0.21 | 0 | 0 | 0.15 | ||
| 17 | Vyacheslav Burdelyov | Yeti (CHA) | C | 33 | 2 | 6 | 8 | -5 | 4 | 0 | 43 | 41 | 12 | 31 | 4.88% | 2 | 10.74 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 14 | 0 | 0 | 54.08% | 0 | 0 | 0.24 | 0 | 0 | 0.24 | ||
| 18 | Vasilica Ciubotariu | Chaos | D | 45 | 0 | 8 | 8 | -6 | 53 | 25 | 47 | 51 | 13 | 12 | 0.00% | 49 | 20.99 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 1 | 0.01 | ||
| 19 | Marcos Pendlebury | Yeti (CHA) | D | 27 | 1 | 5 | 6 | 1 | 34 | 10 | 21 | 27 | 9 | 11 | 3.70% | 32 | 16.44 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | 0.09 | ||
| 20 | Wade OCuirneen | Yeti (CHA) | RW | 22 | 1 | 2 | 3 | 1 | 5 | 5 | 35 | 19 | 8 | 17 | 5.26% | 6 | 10.69 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 38.89% | 0 | 0 | 0.14 | 0 | 0 | 0.19 | ||
| 21 | Jerry Malmkvist | Yeti (CHA) | LW | 13 | 1 | 1 | 2 | -4 | 2 | 0 | 8 | 13 | 3 | 9 | 7.69% | 0 | 9.95 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 28.57% | 0 | 0 | 0.15 | 0 | 0 | 0.06 | ||
| 22 | Branislav Pecnik | Yeti (CHA) | D | 8 | 0 | 2 | 2 | -1 | 17 | 5 | 14 | 5 | 1 | 4 | 0.00% | 4 | 16.58 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | -0.15 | ||
| 23 | Aatami Horppu | Yeti (CHA) | D | 13 | 0 | 1 | 1 | -2 | 10 | 10 | 1 | 10 | 3 | 7 | 0.00% | 8 | 17.82 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | -0.05 | ||
| Team Total or Average | 888 | 162 | 254 | 416 | 12 | 606 | 410 | 974 | 1598 | 499 | 973 | 10.14% | 494 | 16.22 | 35 | 36 | 71 | 832 | 0 | 3 | 3 | 392 | 25 | 10 | 49.93% | 2858 | 408 | 374 | 0 | 1 | 0.58 | 4 | 14 |
| 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 | Tord Tourula | Yeti (CHA) | 20 | 12 | 5 | 3 | 0.906 | 2.83 | 1208 | 0 | 1 | 57 | 604 | 259 | 2 | 0 | 0.667 | 3 | 20 | 25 | 2 | 3 | 1 |
| 2 | Fredrik Becken | Yeti (CHA) | 7 | 5 | 2 | 0 | 0.890 | 3.71 | 420 | 0 | 0 | 26 | 236 | 131 | 0 | 0 | 0.000 | 0 | 7 | 17 | 0 | 0 | 1 |
| 3 | 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 | 29 | 17 | 8 | 4 | 0.899 | 3.12 | 1749 | 0 | 1 | 91 | 899 | 420 | 2 | 0 | 0.667 | 3 | 29 | 43 | 2 | 3 | 2 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aatami Horppu ![]() | D | 30 | 1,271,301$ | 1,271,301$ | |||||||
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$ | ||||
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$ | |||
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$ | |||
Ivan Rutgersson | LW | 22 | 900,000$ | 900,000$ | |||||||
Jerry Malmkvist | LW | 24 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||
Jonatan Klingvall ![]() | D | 29 | 1,277,730$ | 1,277,730$ | 1,277,730$ | ||||||
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$ | ||||||
Krister Sandell | LW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
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$ | |||||
Oskar Carlsson ![]() | C | 27 | 1,600,000$ | 1,600,000$ | |||||||
Philippe-Olivier Jansen ![]() | LW | 25 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||
Roch Fingland ![]() | LW | 26 | 1,432,286$ | 1,432,286$ | |||||||
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 | Outlaws | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 49 | 60 | 62 | 6 | 65 | 557 | 573 | 554 | 30 | 79 | 16 | 11 | 45 | 2 | 2 | 100.00% | 3 | 0 | 100.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 60.0% | 12.3% | 94.9% | 107.2 | LUCKY |
| 2 | Jacks | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 11 | 5 | 4 | 0.500 | 16 | 23 | 39 | 0 | 0 | 49 | 60 | 62 | 6 | 118 | 557 | 573 | 554 | 30 | 131 | 46 | 78 | 74 | 15 | 4 | 26.67% | 4 | 1 | 75.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 54.5% | 13.6% | 91.6% | 105.2 | LUCKY |
| 3 | Rampage | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 49 | 60 | 62 | 6 | 47 | 557 | 573 | 554 | 30 | 52 | 20 | 45 | 46 | 2 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 71.4% | 10.6% | 90.4% | 101.0 | FUN |
| 4 | Kings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 49 | 60 | 62 | 6 | 32 | 557 | 573 | 554 | 30 | 41 | 17 | 21 | 23 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 1 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 66.7% | 12.5% | 92.7% | 105.2 | LUCKY |
| 5 | Wolverines | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 16 | -8 | 2 | 0.250 | 8 | 12 | 20 | 0 | 0 | 49 | 60 | 62 | 6 | 122 | 557 | 573 | 554 | 30 | 131 | 52 | 43 | 82 | 7 | 1 | 14.29% | 4 | 1 | 75.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 31.8% | 6.6% | 87.8% | 94.3 | Unlucky |
| 6 | Comets | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 49 | 60 | 62 | 6 | 39 | 557 | 573 | 554 | 30 | 28 | 11 | 7 | 27 | 3 | 2 | 66.67% | 1 | 0 | 100.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 44.4% | 15.4% | 82.1% | 97.5 | FUN |
| 7 | Crusaders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 49 | 60 | 62 | 6 | 64 | 557 | 573 | 554 | 30 | 63 | 22 | 12 | 51 | 5 | 3 | 60.00% | 1 | 0 | 100.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 50.0% | 14.1% | 90.5% | 104.5 | FUN |
| 8 | Bulldogs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 49 | 60 | 62 | 6 | 69 | 557 | 573 | 554 | 30 | 54 | 16 | 19 | 33 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 63.6% | 13.0% | 90.7% | 103.8 | FUN |
| 9 | Rock | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 49 | 60 | 62 | 6 | 52 | 557 | 573 | 554 | 30 | 54 | 23 | 27 | 54 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 28.6% | 5.8% | 90.7% | 96.5 | Unlucky |
| 10 | Auroras | 5 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 17 | 11 | 6 | 7 | 0.700 | 17 | 28 | 45 | 1 | 1 | 49 | 60 | 62 | 6 | 166 | 557 | 573 | 554 | 30 | 127 | 51 | 29 | 117 | 14 | 2 | 14.29% | 2 | 1 | 50.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 60.0% | 10.2% | 91.3% | 101.6 | LUCKY |
| 11 | Jazz | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 49 | 60 | 62 | 6 | 25 | 557 | 573 | 554 | 30 | 21 | 13 | 9 | 14 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 60.0% | 28.0% | 76.2% | 104.2 | FUN |
| 12 | Hornets | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 14 | 25 | 0 | 0 | 49 | 60 | 62 | 6 | 89 | 557 | 573 | 554 | 30 | 88 | 35 | 8 | 66 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 52.4% | 12.4% | 88.6% | 101.0 | FUN |
| 13 | Wolfpack | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 3 | 0.500 | 7 | 10 | 17 | 0 | 0 | 49 | 60 | 62 | 6 | 87 | 557 | 573 | 554 | 30 | 94 | 25 | 43 | 76 | 10 | 2 | 20.00% | 4 | 3 | 25.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 41.7% | 8.0% | 89.4% | 97.4 | Unlucky |
| 14 | Vipers | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 7 | -4 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 49 | 60 | 62 | 6 | 68 | 557 | 573 | 554 | 30 | 60 | 24 | 4 | 35 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 30.0% | 4.4% | 88.3% | 92.7 | Unlucky |
| 15 | Devils | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 6 | 11 | -5 | 1 | 0.167 | 6 | 9 | 15 | 0 | 0 | 49 | 60 | 62 | 6 | 102 | 557 | 573 | 554 | 30 | 93 | 33 | 33 | 78 | 5 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 40.0% | 5.9% | 88.2% | 94.1 | Unlucky |
| 16 | Guppies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 49 | 60 | 62 | 6 | 26 | 557 | 573 | 554 | 30 | 30 | 8 | 7 | 19 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 50.0% | 11.5% | 93.3% | 104.9 | LUCKY |
| 17 | Stingers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 49 | 60 | 62 | 6 | 24 | 557 | 573 | 554 | 30 | 24 | 6 | 31 | 29 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 66.7% | 12.5% | 91.7% | 104.2 | LUCKY |
| 18 | Schooners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 49 | 60 | 62 | 6 | 79 | 557 | 573 | 554 | 30 | 67 | 20 | 33 | 36 | 3 | 2 | 66.67% | 4 | 2 | 50.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 50.0% | 8.9% | 89.6% | 98.4 | Unlucky |
| 19 | Hydra | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 49 | 60 | 62 | 6 | 26 | 557 | 573 | 554 | 30 | 30 | 14 | 0 | 24 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 75.0% | 11.5% | 96.7% | 108.2 | LUCKY |
| 20 | Phantoms | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 12 | -2 | 3 | 0.500 | 10 | 17 | 27 | 0 | 0 | 49 | 60 | 62 | 6 | 100 | 557 | 573 | 554 | 30 | 115 | 32 | 58 | 73 | 12 | 2 | 16.67% | 4 | 2 | 50.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 44.4% | 10.0% | 89.6% | 99.6 | FUN |
| 21 | Spartans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 49 | 60 | 62 | 6 | 27 | 557 | 573 | 554 | 30 | 41 | 3 | 7 | 21 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 33.3% | 7.4% | 90.2% | 97.7 | Unlucky |
| 22 | Northmen | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 49 | 60 | 62 | 6 | 37 | 557 | 573 | 554 | 30 | 25 | 13 | 7 | 21 | 3 | 1 | 33.33% | 1 | 1 | 0.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 25.0% | 5.4% | 84.0% | 89.4 | Unlucky |
| 23 | Wild Wings | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 49 | 60 | 62 | 6 | 62 | 557 | 573 | 554 | 30 | 35 | 12 | 15 | 55 | 5 | 2 | 40.00% | 0 | 0 | 0.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 62.5% | 11.3% | 91.4% | 102.7 | LUCKY |
| 24 | Drillers | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.333 | 9 | 13 | 22 | 0 | 0 | 49 | 60 | 62 | 6 | 112 | 557 | 573 | 554 | 30 | 89 | 31 | 36 | 63 | 9 | 2 | 22.22% | 3 | 0 | 100.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 53.8% | 8.0% | 93.3% | 101.3 | DULL |
| 25 | Swamp Puppies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 49 | 60 | 62 | 6 | 59 | 557 | 573 | 554 | 30 | 68 | 15 | 21 | 48 | 7 | 3 | 42.86% | 3 | 0 | 100.00% | 0 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 37.5% | 15.3% | 85.3% | 100.5 | FUN |
| _Vs Division | 10 | 7 | 8 | 0 | 0 | 0 | 0 | 1 | 27 | 26 | 1 | 15 | 0.750 | 27 | 45 | 72 | 1 | 1 | 49 | 60 | 62 | 6 | 318 | 557 | 573 | 554 | 30 | 282 | 115 | 81 | 229 | 20 | 3 | 15.00% | 8 | 2 | 75.00% | 1 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 50.0% | 8.5% | 90.8% | 99.3 | Unlucky | |
| _Vs Conference | 34 | 13 | 14 | 0 | 1 | 3 | 1 | 2 | 102 | 103 | -1 | 35 | 0.515 | 102 | 160 | 262 | 1 | 1 | 49 | 60 | 62 | 6 | 1087 | 557 | 573 | 554 | 30 | 1078 | 370 | 371 | 751 | 84 | 16 | 19.05% | 38 | 11 | 71.05% | 1 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 48.3% | 9.4% | 90.4% | 99.8 | FUN | |
| _Since Last GM Reset | 54 | 25 | 20 | 0 | 2 | 3 | 1 | 3 | 174 | 165 | 9 | 62 | 0.574 | 174 | 278 | 452 | 2 | 1 | 49 | 60 | 62 | 6 | 1697 | 557 | 573 | 554 | 30 | 1640 | 558 | 604 | 1210 | 128 | 34 | 26.56% | 62 | 20 | 67.74% | 1 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 49.1% | 10.3% | 89.9% | 100.2 | FUN | |
| Total | 54 | 25 | 20 | 0 | 2 | 3 | 1 | 3 | 174 | 165 | 9 | 62 | 0.574 | 174 | 278 | 452 | 2 | 1 | 49 | 60 | 62 | 6 | 1697 | 557 | 573 | 554 | 30 | 1640 | 558 | 604 | 1210 | 128 | 34 | 26.56% | 62 | 20 | 67.74% | 1 | 566 | 1125 | 50.31% | 565 | 1157 | 48.83% | 432 | 830 | 52.05% | 1219 | 747 | 1108 | 463 | 937 | 475 | 49.1% | 10.3% | 89.9% | 100.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 17 |
| Defensive Zone | 20 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1125 |
| Neutral Zone Start | 830 |
| Defensive Zone Start | 1157 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1563 |
| Faceoffs Lost | 1549 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.3 | 9.57 |
| 2nd Period | 20.9 | 20.31 |
| 3rd Period | 31.2 | 30.68 |
| Overtime | 31.7 | 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 | 3.3 | 2.83 |
| Even Strenght Goal | 137 |
|---|---|
| PP Goal | 34 |
| PK Goal | 1 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 13 | 15 |
| Lost | 10 | 10 |
| Overtime Lost | 4 | 2 |
| PP Attempt | 128 |
|---|---|
| PP Goal | 34 |
| PK Attempt | 62 |
| PK Goal Against | 20 |
| Home | |
|---|---|
| Shots For | 31.4 |
| Shots Against | 30.4 |
| Goals For | 3.2 |
| Goals Against | 3.1 |
| Hits | 22.4 |
| Shots Blocked | 10.3 |
| Pim | 11.2 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 5,600,960$ | 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 | 55133 | 32516 | |||
| Attendance PCT | 68.07% | 60.21% | 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 |
| 13 | 3246 - 64.93% | 137,494$ | 3,712,332$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 5,600,960$ | 5,600,960$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,722,237$ | 5,600,960$ | 3,338,560$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 1,787,419$ | 53 | 42,183$ | 2,235,699$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,235,699$ | 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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