| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 53 | 26 | 17 | 10 | 62 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sam Webber | 9 | C | 97.00 | 71 | 69 | 86 | 82 | 93 | 79 | 93 | 66 | 95 | 82 | 70 | 36 | 76 | 56 | 65 | 23 | 50 | 77 | 31 | 1,600,000$/1yrs | |||
Jake Mcadie | 72 | RW | 97.00 | 61 | 64 | 91 | 79 | 87 | 94 | 55 | 91 | 68 | 68 | 67 | 86 | 73 | 45 | 59 | 47 | 50 | 77 | 25 | 1,500,000$/2yrs | |||
Jakob Vanderveeken (R) | 35 | LW | 100.00 | 85 | 54 | 86 | 70 | 50 | 99 | 99 | 98 | 54 | 49 | 85 | 38 | 83 | 47 | 45 | 67 | 50 | 72 | 23 | 1,000,000$/1yrs | |||
Geoff Mcquistan (R) | 69 | LW | 100.00 | 50 | 53 | 88 | 67 | 61 | 94 | 60 | 87 | 59 | 68 | 69 | 74 | 62 | 62 | 36 | 65 | 50 | 71 | 24 | 1,890,000$/4yrs | |||
Pat Szmatula (R) | 40 | C | 100.00 | 78 | 54 | 59 | 66 | 53 | 89 | 87 | 91 | 88 | 51 | 71 | 54 | 66 | 94 | 52 | 61 | 50 | 70 | 25 | 1,170,000$/2yrs | |||
Jakob Mirc (R) | 0 | LW | 98.00 | 73 | 52 | 53 | 74 | 52 | 75 | 76 | 71 | 75 | 77 | 65 | 74 | 55 | 47 | 55 | 81 | 50 | 70 | 19 | 800,000$/3yrs | |||
Dustin Van Buskirk | 16 | RW | 100.00 | 46 | 43 | 68 | 63 | 47 | 74 | 70 | 84 | 46 | 82 | 85 | 65 | 53 | 81 | 91 | 44 | 50 | 69 | 25 | 1,650,000$/1yrs | |||
Josiah Sunday (R) | 0 | C | 100.00 | 90 | 29 | 61 | 78 | 57 | 93 | 59 | 83 | 99 | 77 | 40 | 39 | 82 | 45 | 80 | 72 | 50 | 69 | 21 | 800,000$/3yrs | |||
Carlo Doe (R) | 21 | RW | 100.00 | 48 | 53 | 57 | 66 | 50 | 83 | 68 | 64 | 55 | 73 | 74 | 80 | 61 | 49 | 73 | 61 | 50 | 67 | 23 | 800,000$/1yrs | |||
Qu Zhibin (R) | 58 | C | 100.00 | 88 | 43 | 85 | 77 | 62 | 60 | 71 | 88 | 97 | 63 | 51 | 36 | 85 | 37 | 48 | 62 | 50 | 67 | 23 | 800,000$/1yrs | |||
Ty Godfrey (R) | 0 | RW | 100.00 | 68 | 61 | 66 | 80 | 61 | 77 | 58 | 82 | 61 | 68 | 73 | 28 | 83 | 77 | 76 | 79 | 50 | 66 | 21 | 800,000$/1yrs | |||
Pierre-Maxime Leffler | 84 | D | 100.00 | 80 | 72 | 67 | 65 | 86 | 72 | 89 | 63 | 67 | 67 | 71 | 82 | 84 | 79 | 81 | 62 | 50 | 76 | 20 | 1,000,000$/1yrs | |||
Yury Koznov | 24 | D | 100.00 | 89 | 56 | 82 | 88 | 66 | 79 | 74 | 79 | 25 | 89 | 39 | 55 | 71 | 63 | 41 | 39 | 50 | 73 | 28 | 1,180,000$/2yrs | |||
Radko Majer (R) | 0 | D | 100.00 | 87 | 69 | 58 | 66 | 77 | 71 | 87 | 64 | 57 | 64 | 60 | 78 | 62 | 75 | 72 | 89 | 50 | 73 | 18 | 1,000,000$/3yrs | |||
Carlos Donlon (R) | 22 | D | 100.00 | 73 | 46 | 54 | 79 | 92 | 78 | 64 | 74 | 25 | 60 | 47 | 75 | 89 | 44 | 67 | 65 | 50 | 72 | 23 | 1,500,000$/4yrs | |||
Grigory Akatyev (R) | 47 | D | 100.00 | 47 | 51 | 68 | 96 | 69 | 98 | 57 | 85 | 25 | 71 | 64 | 78 | 37 | 73 | 58 | 54 | 50 | 72 | 24 | 1,900,000$/2yrs | |||
Cecil Pochiro (R) | 0 | D | 100.00 | 77 | 64 | 57 | 57 | 72 | 83 | 79 | 57 | 73 | 56 | 33 | 87 | 64 | 69 | 57 | 53 | 50 | 70 | 20 | 800,000$/3yrs | |||
Vyacheslav Anfilofiyev (R) | 0 | D | 100.00 | 95 | 47 | 64 | 57 | 60 | 92 | 69 | 66 | 25 | 54 | 28 | 85 | 55 | 80 | 53 | 66 | 50 | 69 | 21 | 800,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Agust Danell (R) | 0 | LW | 100.00 | 59 | 68 | 70 | 88 | 88 | 83 | 64 | 66 | 61 | 68 | 66 | 89 | 82 | 69 | 61 | 70 | 50 | 74 | 19 | 800,000$/3yrs | |||
Atle Ala-Porkkunen (R) | 0 | LW | 100.00 | 46 | 58 | 57 | 53 | 47 | 65 | 72 | 77 | 70 | 46 | 61 | 57 | 57 | 68 | 48 | 77 | 50 | 59 | 22 | 700,000$/2yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kenneth Kris | 38 | 96.00 | 81 | 89 | 97 | 79 | 84 | 73 | 58 | 69 | 93 | 52 | 92 | 55 | 77 | 64 | 50 | 78 | 23 | 900,000$/1yrs |
Alizar Starcanka | 0 | 100.00 | 68 | 68 | 82 | 74 | 90 | 65 | 46 | 43 | 70 | 93 | 66 | 67 | 30 | 79 | 50 | 70 | 21 | 900,000$/3yrs |
| Scratches | ||||||||||||||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Georges Sandhu | 51 | 91 | 45 | 64 | 77 | 98 | 60 | CAN | 69 | 2 | 1,000,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Clarke Stepaniuk |
|---|
| 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 | Jake Mcadie | Kings (STM) | RW | 53 | 27 | 26 | 53 | 4 | 45 | 45 | 40 | 219 | 58 | 104 | 12.33% | 37 | 17.98 | 0.00 | 9 | 8 | 17 | 0 | 0 | 0 | 6 | 2 | 1 | 36.21% | 0 | 1 | 1.00 | 0 | 3 | 0.98 | ||
| 2 | Dustin Van Buskirk | Kings (STM) | RW | 53 | 19 | 17 | 36 | 8 | 36 | 20 | 21 | 134 | 45 | 69 | 14.18% | 19 | 15.13 | 0.00 | 7 | 4 | 11 | 0 | 0 | 0 | 0 | 3 | 1 | 34.21% | 0 | 1 | 0.68 | 0 | 0 | 0.66 | ||
| 3 | Jakob Vanderveeken | Kings (STM) | LW | 53 | 18 | 18 | 36 | 4 | 39 | 25 | 105 | 126 | 37 | 68 | 14.29% | 22 | 18.67 | 0.00 | 4 | 4 | 8 | 0 | 0 | 0 | 34 | 4 | 1 | 52.50% | 0 | 1 | 0.68 | 0 | 0 | 0.64 | ||
| 4 | Geoff Mcquistan | Kings (STM) | LW | 53 | 19 | 15 | 34 | 4 | 25 | 25 | 23 | 134 | 46 | 76 | 14.18% | 23 | 17.64 | 0.00 | 5 | 3 | 8 | 0 | 0 | 0 | 72 | 1 | 2 | 32.31% | 1 | 1 | 0.64 | 1 | 1 | 0.63 | ||
| 5 | Sam Webber | Kings (STM) | C | 52 | 12 | 18 | 30 | 3 | 57 | 45 | 48 | 92 | 35 | 61 | 13.04% | 11 | 14.91 | 0.00 | 0 | 7 | 7 | 0 | 0 | 0 | 30 | 4 | 1 | 55.33% | 0 | 0 | 0.58 | 1 | 2 | 0.42 | ||
| 6 | Yury Koznov | Kings (STM) | D | 53 | 3 | 27 | 30 | 4 | 77 | 65 | 118 | 74 | 44 | 39 | 4.05% | 53 | 23.75 | 0.00 | 0 | 9 | 9 | 0 | 0 | 0 | 70 | 0 | 2 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.35 | ||
| 7 | Agust Danell | Kings (STM) | LW | 42 | 9 | 19 | 28 | -8 | 45 | 25 | 78 | 95 | 24 | 63 | 9.47% | 22 | 17.60 | 0.00 | 2 | 6 | 8 | 1 | 2 | 3 | 66 | 2 | 0 | 51.16% | 0 | 0 | 0.67 | 0 | 1 | 0.46 | ||
| 8 | Josiah Sunday | Kings (STM) | C | 53 | 8 | 20 | 28 | 5 | 21 | 5 | 102 | 91 | 23 | 54 | 8.79% | 12 | 13.43 | 0.00 | 1 | 4 | 5 | 0 | 0 | 0 | 13 | 1 | 1 | 51.29% | 0 | 0 | 0.53 | 1 | 2 | 0.52 | ||
| 9 | Grigory Akatyev | Kings (STM) | D | 53 | 2 | 24 | 26 | 2 | 61 | 25 | 31 | 108 | 51 | 36 | 1.85% | 45 | 21.07 | 0.00 | 1 | 4 | 5 | 0 | 0 | 0 | 69 | 1 | 0 | 0.00% | 0 | 0 | 0.49 | 0 | 0 | 0.33 | ||
| 10 | Jakob Mirc | Kings (STM) | LW | 53 | 9 | 15 | 24 | -4 | 84 | 50 | 92 | 103 | 37 | 43 | 8.74% | 29 | 15.71 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 2 | 48.13% | 0 | 0 | 0.45 | 0 | 1 | 0.22 | ||
| 11 | Qu Zhibin | Kings (STM) | C | 44 | 16 | 7 | 23 | 4 | 0 | 0 | 74 | 78 | 31 | 45 | 20.51% | 12 | 14.28 | 0.00 | 4 | 1 | 5 | 0 | 0 | 0 | 0 | 2 | 1 | 55.18% | 0 | 0 | 0.52 | 0 | 1 | 0.63 | ||
| 12 | Ty Godfrey | Kings (STM) | RW | 53 | 12 | 11 | 23 | -6 | 158 | 110 | 55 | 123 | 44 | 77 | 9.76% | 7 | 11.65 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 45.16% | 0 | 1 | 0.43 | 0 | 0 | 0.00 | ||
| 13 | Pierre-Maxime Leffler | Kings (STM) | D | 48 | 1 | 19 | 20 | -3 | 111 | 75 | 79 | 51 | 33 | 27 | 1.96% | 79 | 22.44 | 0.00 | 1 | 5 | 6 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 0 | 0.02 | ||
| 14 | Pat Szmatula | Kings (STM) | C | 53 | 6 | 10 | 16 | -2 | 61 | 25 | 90 | 94 | 24 | 53 | 6.38% | 23 | 15.39 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 1 | 0 | 54.01% | 0 | 0 | 0.30 | 0 | 0 | 0.20 | ||
| 15 | Radko Majer | Kings (STM) | D | 53 | 1 | 11 | 12 | -5 | 133 | 95 | 129 | 45 | 24 | 18 | 2.22% | 57 | 20.99 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 0 | 0 | -0.17 | ||
| 16 | Carlos Donlon | Kings (STM) | D | 24 | 1 | 8 | 9 | 6 | 26 | 10 | 45 | 18 | 14 | 11 | 5.56% | 19 | 19.47 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.28 | ||
| 17 | Cecil Pochiro | Kings (STM) | D | 53 | 0 | 9 | 9 | 3 | 89 | 55 | 86 | 31 | 18 | 14 | 0.00% | 78 | 16.70 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | -0.03 | ||
| 18 | Atle Ala-Porkkunen | Kings (STM) | LW | 50 | 3 | 2 | 5 | 2 | 26 | 10 | 23 | 29 | 7 | 19 | 10.34% | 12 | 11.72 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 52.94% | 0 | 0 | 0.10 | 0 | 0 | 0.05 | ||
| 19 | Vyacheslav Anfilofiyev | Kings (STM) | D | 47 | 0 | 5 | 5 | 11 | 4 | 0 | 69 | 14 | 7 | 10 | 0.00% | 24 | 9.90 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.21 | ||
| 20 | Carlo Doe | Kings (STM) | RW | 8 | 1 | 1 | 2 | -1 | 0 | 0 | 1 | 7 | 4 | 6 | 14.29% | 2 | 9.02 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.25 | 0 | 0 | 0.22 | ||
| Team Total or Average | 951 | 167 | 282 | 449 | 31 | 1098 | 710 | 1309 | 1666 | 606 | 893 | 10.02% | 586 | 16.66 | 36 | 58 | 94 | 914 | 1 | 2 | 3 | 606 | 25 | 12 | 51.96% | 2427 | 380 | 375 | 1 | 5 | 0.57 | 3 | 11 |
| 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 | Kenneth Kris | Kings (STM) | 42 | 23 | 14 | 4 | 0.908 | 2.96 | 2449 | 6 | 0 | 121 | 1310 | 684 | 4 | 1 | 0.778 | 9 | 42 | 11 | 3 | 4 | 5 |
| 2 | Alizar Starcanka | Kings (STM) | 15 | 3 | 3 | 6 | 0.890 | 3.39 | 761 | 0 | 0 | 43 | 390 | 213 | 1 | 0 | 0.000 | 0 | 11 | 42 | 0 | 1 | 0 |
| Team Total or Average | 57 | 26 | 17 | 10 | 0.904 | 3.07 | 3210 | 6 | 0 | 164 | 1700 | 897 | 5 | 1 | 0.778 | 9 | 53 | 53 | 3 | 5 | 5 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Agust Danell | LW | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Alizar Starcanka | G | 21 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Atle Ala-Porkkunen | LW | 22 | 700,000$ | 700,000$ | 700,000$ | ||||||
Carlo Doe | RW | 23 | 800,000$ | 800,000$ | |||||||
Carlos Donlon | D | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Cecil Pochiro | D | 20 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Dustin Van Buskirk ![]() | RW | 25 | 1,650,000$ | 1,650,000$ | |||||||
Geoff Mcquistan | LW | 24 | 1,890,000$ | 1,890,000$ | 1,890,000$ | 1,890,000$ | 1,890,000$ | ||||
Grigory Akatyev | D | 24 | 1,900,000$ | 1,900,000$ | 1,900,000$ | ||||||
Jake Mcadie ![]() | RW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Jakob Mirc | LW | 19 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Jakob Vanderveeken | LW | 23 | 1,000,000$ | 1,000,000$ | |||||||
Josiah Sunday | C | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Kenneth Kris | G | 23 | 900,000$ | 900,000$ | |||||||
Pat Szmatula ![]() | C | 25 | 1,170,000$ | 1,170,000$ | 1,170,000$ | ||||||
Pierre-Maxime Leffler | D | 20 | 1,000,000$ | 1,000,000$ | |||||||
Qu Zhibin | C | 23 | 800,000$ | 800,000$ | |||||||
Radko Majer | D | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Sam Webber ![]() | C | 31 | 1,600,000$ | 1,600,000$ | |||||||
Ty Godfrey | RW | 21 | 800,000$ | 800,000$ | |||||||
Vyacheslav Anfilofiyev | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Yury Koznov ![]() | D | 28 | 1,180,000$ | 1,180,000$ | 1,180,000$ |
| 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 | 5 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 20 | 18 | 2 | 5 | 0.500 | 20 | 34 | 54 | 0 | 0 | 55 | 55 | 58 | 8 | 158 | 540 | 585 | 545 | 35 | 177 | 60 | 133 | 118 | 9 | 1 | 11.11% | 9 | 3 | 66.67% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 55.9% | 12.7% | 89.8% | 102.5 | FUN |
| 2 | Jacks | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 3 | 0.500 | 5 | 8 | 13 | 0 | 0 | 55 | 55 | 58 | 8 | 86 | 540 | 585 | 545 | 35 | 106 | 34 | 104 | 78 | 12 | 2 | 16.67% | 7 | 2 | 71.43% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 42.9% | 5.8% | 94.3% | 100.2 | DULL |
| 3 | Rampage | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 55 | 55 | 58 | 8 | 61 | 540 | 585 | 545 | 35 | 48 | 7 | 38 | 47 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 71.4% | 18.0% | 89.6% | 107.6 | FUN |
| 4 | Wolverines | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 55 | 55 | 58 | 8 | 72 | 540 | 585 | 545 | 35 | 61 | 20 | 16 | 28 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 33.3% | 5.6% | 90.2% | 95.7 | Unlucky |
| 5 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 55 | 55 | 58 | 8 | 29 | 540 | 585 | 545 | 35 | 36 | 10 | 24 | 29 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 71.4% | 17.2% | 91.7% | 108.9 | LUCKY |
| 6 | Crusaders | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 55 | 55 | 58 | 8 | 37 | 540 | 585 | 545 | 35 | 27 | 9 | 16 | 27 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 66.7% | 5.4% | 96.3% | 101.7 | DULL |
| 7 | Bulldogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 55 | 55 | 58 | 8 | 33 | 540 | 585 | 545 | 35 | 26 | 5 | 17 | 20 | 3 | 2 | 66.67% | 1 | 1 | 0.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 100.0% | 9.1% | 96.2% | 105.2 | LUCKY |
| 8 | Rock | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 55 | 55 | 58 | 8 | 41 | 540 | 585 | 545 | 35 | 38 | 8 | 9 | 24 | 2 | 2 | 100.00% | 2 | 1 | 50.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 37.5% | 12.2% | 84.2% | 96.4 | FUN |
| 9 | Auroras | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 55 | 55 | 58 | 8 | 66 | 540 | 585 | 545 | 35 | 61 | 16 | 70 | 43 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 50.0% | 13.6% | 85.2% | 98.9 | FUN |
| 10 | Jazz | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 8 | 8 | 0 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 55 | 55 | 58 | 8 | 64 | 540 | 585 | 545 | 35 | 57 | 15 | 43 | 55 | 4 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 61.5% | 12.5% | 86.0% | 98.5 | FUN |
| 11 | Hornets | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 8 | -4 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 55 | 55 | 58 | 8 | 50 | 540 | 585 | 545 | 35 | 72 | 28 | 9 | 39 | 2 | 1 | 50.00% | 2 | 2 | 0.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 33.3% | 8.0% | 88.9% | 96.9 | Unlucky |
| 12 | Wolfpack | 5 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 18 | 14 | 4 | 7 | 0.700 | 18 | 30 | 48 | 0 | 0 | 55 | 55 | 58 | 8 | 170 | 540 | 585 | 545 | 35 | 169 | 59 | 134 | 107 | 13 | 4 | 30.77% | 7 | 2 | 71.43% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 53.8% | 10.6% | 91.7% | 102.3 | LUCKY |
| 13 | Vipers | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 16 | 14 | 2 | 5 | 0.500 | 16 | 27 | 43 | 0 | 0 | 55 | 55 | 58 | 8 | 166 | 540 | 585 | 545 | 35 | 162 | 59 | 96 | 111 | 0 | 0 | 0.00% | 13 | 5 | 61.54% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 64.0% | 9.6% | 91.4% | 101.0 | LUCKY |
| 14 | Devils | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 12 | -4 | 3 | 0.500 | 8 | 13 | 21 | 0 | 0 | 55 | 55 | 58 | 8 | 98 | 540 | 585 | 545 | 35 | 113 | 36 | 56 | 86 | 4 | 3 | 75.00% | 9 | 3 | 66.67% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 35.7% | 8.2% | 89.4% | 97.5 | Unlucky |
| 15 | Guppies | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 2 | 0.333 | 8 | 16 | 24 | 0 | 0 | 55 | 55 | 58 | 8 | 91 | 540 | 585 | 545 | 35 | 91 | 38 | 84 | 67 | 8 | 5 | 62.50% | 7 | 4 | 42.86% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 25.0% | 8.8% | 85.7% | 94.5 | Unlucky |
| 16 | Stingers | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 55 | 55 | 58 | 8 | 60 | 540 | 585 | 545 | 35 | 56 | 18 | 19 | 51 | 9 | 4 | 44.44% | 2 | 0 | 100.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 44.4% | 13.3% | 91.1% | 104.4 | Unlucky |
| 17 | Schooners | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 9 | 14 | 0 | 0 | 55 | 55 | 58 | 8 | 28 | 540 | 585 | 545 | 35 | 40 | 16 | 6 | 19 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 50.0% | 17.9% | 85.0% | 102.9 | FUN |
| 18 | Hydra | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 55 | 55 | 58 | 8 | 24 | 540 | 585 | 545 | 35 | 30 | 10 | 11 | 14 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 40.0% | 16.7% | 90.0% | 106.7 | FUN |
| 19 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 55 | 55 | 58 | 8 | 41 | 540 | 585 | 545 | 35 | 27 | 11 | 14 | 27 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 66.7% | 7.3% | 92.6% | 99.9 | DULL |
| 20 | Spartans | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 55 | 55 | 58 | 8 | 61 | 540 | 585 | 545 | 35 | 67 | 24 | 21 | 32 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 55.6% | 8.2% | 92.5% | 100.7 | DULL |
| 21 | Northmen | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 55 | 55 | 58 | 8 | 28 | 540 | 585 | 545 | 35 | 28 | 17 | 37 | 26 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 0.0% | 3.6% | 89.3% | 92.9 | Unlucky |
| 22 | Yeti | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 55 | 55 | 58 | 8 | 41 | 540 | 585 | 545 | 35 | 32 | 19 | 17 | 29 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 33.3% | 7.3% | 87.5% | 94.8 | Unlucky |
| 23 | Wild Wings | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 55 | 55 | 58 | 8 | 75 | 540 | 585 | 545 | 35 | 47 | 6 | 32 | 67 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 75.0% | 9.3% | 93.6% | 103.0 | LUCKY |
| 24 | Drillers | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 55 | 55 | 58 | 8 | 64 | 540 | 585 | 545 | 35 | 69 | 27 | 39 | 54 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 40.0% | 6.3% | 91.3% | 97.6 | DULL |
| 25 | Swamp Puppies | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 5 | 3 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 55 | 55 | 58 | 8 | 51 | 540 | 585 | 545 | 35 | 61 | 29 | 60 | 44 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 60.0% | 15.7% | 91.8% | 107.5 | LUCKY |
| _Vs Division | 18 | 6 | 5 | 0 | 1 | 2 | 0 | 1 | 55 | 56 | -1 | 17 | 0.472 | 55 | 92 | 147 | 0 | 0 | 55 | 55 | 58 | 8 | 576 | 540 | 585 | 545 | 35 | 634 | 216 | 466 | 443 | 43 | 10 | 23.26% | 34 | 10 | 70.59% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 49.5% | 9.5% | 91.2% | 100.7 | LUCKY | |
| _Vs Conference | 34 | 12 | 14 | 0 | 1 | 6 | 0 | 1 | 102 | 112 | -10 | 33 | 0.485 | 102 | 175 | 277 | 0 | 0 | 55 | 55 | 58 | 8 | 1103 | 540 | 585 | 545 | 35 | 1140 | 407 | 772 | 787 | 74 | 20 | 27.03% | 67 | 23 | 65.67% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 48.0% | 9.2% | 90.2% | 99.4 | FUN | |
| _Since Last GM Reset | 53 | 20 | 17 | 0 | 4 | 9 | 2 | 1 | 174 | 166 | 8 | 62 | 0.585 | 174 | 293 | 467 | 1 | 0 | 55 | 55 | 58 | 8 | 1695 | 540 | 585 | 545 | 35 | 1701 | 581 | 1105 | 1242 | 121 | 36 | 29.75% | 101 | 35 | 65.35% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 51.3% | 10.3% | 90.2% | 100.5 | FUN | |
| Total | 53 | 20 | 17 | 0 | 4 | 9 | 2 | 1 | 174 | 166 | 8 | 62 | 0.585 | 174 | 293 | 467 | 1 | 0 | 55 | 55 | 58 | 8 | 1695 | 540 | 585 | 545 | 35 | 1701 | 581 | 1105 | 1242 | 121 | 36 | 29.75% | 101 | 35 | 65.35% | 0 | 650 | 1194 | 54.44% | 544 | 1061 | 51.27% | 428 | 827 | 51.75% | 1145 | 667 | 1128 | 470 | 943 | 476 | 51.3% | 10.3% | 90.2% | 100.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 17 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1194 |
| Neutral Zone Start | 827 |
| Defensive Zone Start | 1061 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1622 |
| Faceoffs Lost | 1460 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.2 | 9.57 |
| 2nd Period | 21.2 | 20.31 |
| 3rd Period | 31.5 | 30.68 |
| Overtime | 32.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 3.2 | 2.67 |
| Overtime | 3.3 | 2.83 |
| Even Strenght Goal | 137 |
|---|---|
| PP Goal | 36 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 13 | 13 |
| Lost | 9 | 8 |
| Overtime Lost | 4 | 6 |
| PP Attempt | 121 |
|---|---|
| PP Goal | 36 |
| PK Attempt | 101 |
| PK Goal Against | 35 |
| Home | |
|---|---|
| Shots For | 32.0 |
| Shots Against | 32.1 |
| Goals For | 3.3 |
| Goals Against | 3.1 |
| Hits | 23.4 |
| Shots Blocked | 11.0 |
| Pim | 20.8 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,429,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Kelowna | |
| Capacity | 5000 | |
| Season Ticket Holders | 25% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 3000 | 2000 | |||
| Ticket Price | 30$ | 15$ | $ | $ | $ |
| Attendance | 75628 | 48377 | |||
| Attendance PCT | 96.96% | 93.03% | 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 |
| 14 | 4769 - 95.39% | 149,725$ | 3,892,844$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,429,000$ | 2,429,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,103,516$ | 2,429,000$ | 1,470,866$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 2,096,147$ | 54 | 23,327$ | 1,259,658$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,259,658$ | 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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Ivan Crete is out for 1 month because of a Bruised Right Leg Injury.
Vladilen Avtomov is out for 6 days because of a Bruised Right Foot Injury.
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