| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 72 | 32 | 29 | 11 | 75 |
| 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 | 100.00 | 71 | 69 | 86 | 82 | 93 | 79 | 93 | 66 | 95 | 82 | 70 | 36 | 76 | 56 | 65 | 23 | 50 | 77 | 31 | 1,600,000$/1yrs | |||
Jake Mcadie | 72 | RW | 100.00 | 61 | 64 | 91 | 79 | 87 | 94 | 55 | 91 | 68 | 68 | 67 | 86 | 73 | 45 | 59 | 47 | 50 | 77 | 25 | 1,500,000$/2yrs | |||
Aarre Lokki | 0 | RW | 100.00 | 49 | 59 | 70 | 89 | 78 | 99 | 74 | 99 | 58 | 81 | 55 | 59 | 97 | 52 | 97 | 29 | 50 | 76 | 30 | 1,500,000$/2yrs | |||
Agust Danell (R) | 0 | LW | 100.00 | 59 | 68 | 70 | 88 | 88 | 83 | 64 | 66 | 61 | 68 | 66 | 89 | 82 | 69 | 61 | 70 | 50 | 74 | 19 | 800,000$/3yrs | |||
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$/2yrs | |||
Jakob Mirc (R) | 0 | LW | 100.00 | 73 | 52 | 53 | 74 | 52 | 75 | 76 | 71 | 75 | 77 | 65 | 74 | 55 | 47 | 55 | 81 | 50 | 70 | 19 | 800,000$/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 | |||
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$/5yrs | |||
Yury Koznov | 24 | D | 100.00 | 89 | 56 | 82 | 88 | 66 | 79 | 74 | 79 | 25 | 89 | 39 | 55 | 71 | 63 | 41 | 39 | 50 | 73 | 28 | 1,180,000$/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 | |||
| Scratches | ||||||||||||||||||||||||||
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$/2yrs | |||
Vyacheslav Anfilofiyev (R) | 0 | D | 100.00 | 95 | 47 | 64 | 57 | 60 | 92 | 69 | 66 | 25 | 54 | 28 | 85 | 55 | 80 | 53 | 66 | 50 | 69 | 21 | 800,000$/3yrs | |||
| 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 | 100.00 | 81 | 89 | 97 | 79 | 84 | 73 | 58 | 69 | 93 | 52 | 92 | 55 | 77 | 64 | 50 | 78 | 23 | 900,000$/5yrs |
Alizar Starcanka | 0 | 100.00 | 68 | 68 | 82 | 74 | 90 | 65 | 46 | 43 | 70 | 93 | 66 | 67 | 30 | 79 | 50 | 70 | 21 | 900,000$/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 | 69 | 32 | 32 | 64 | -3 | 60 | 60 | 52 | 279 | 70 | 139 | 11.47% | 43 | 18.70 | 0.00 | 12 | 10 | 22 | 0 | 0 | 0 | 14 | 2 | 1 | 34.52% | 0 | 1 | 0.93 | 1 | 4 | 0.87 | ||
| 2 | Dustin Van Buskirk | Kings (STM) | RW | 72 | 23 | 22 | 45 | 4 | 43 | 25 | 29 | 168 | 58 | 99 | 13.69% | 30 | 15.90 | 0.00 | 10 | 4 | 14 | 0 | 0 | 0 | 3 | 4 | 1 | 35.85% | 0 | 1 | 0.63 | 1 | 2 | 0.58 | ||
| 3 | Jakob Vanderveeken | Kings (STM) | LW | 72 | 24 | 20 | 44 | -3 | 39 | 25 | 126 | 176 | 50 | 88 | 13.64% | 28 | 18.61 | 0.00 | 4 | 6 | 10 | 0 | 0 | 0 | 41 | 5 | 2 | 48.18% | 0 | 1 | 0.61 | 0 | 0 | 0.58 | ||
| 4 | Geoff Mcquistan | Kings (STM) | LW | 71 | 21 | 17 | 38 | -2 | 30 | 30 | 26 | 154 | 51 | 98 | 13.64% | 33 | 17.29 | 0.00 | 5 | 3 | 8 | 0 | 0 | 0 | 79 | 1 | 3 | 39.02% | 1 | 1 | 0.54 | 1 | 1 | 0.51 | ||
| 5 | Yury Koznov | Kings (STM) | D | 72 | 6 | 31 | 37 | -1 | 94 | 80 | 154 | 112 | 55 | 45 | 5.36% | 68 | 23.50 | 0.00 | 3 | 10 | 13 | 0 | 0 | 0 | 76 | 1 | 2 | 0.00% | 0 | 0 | 0.51 | 0 | 0 | 0.31 | ||
| 6 | Josiah Sunday | Kings (STM) | C | 72 | 12 | 25 | 37 | 1 | 23 | 5 | 140 | 120 | 35 | 74 | 10.00% | 14 | 14.10 | 0.00 | 4 | 7 | 11 | 0 | 0 | 0 | 30 | 1 | 2 | 51.93% | 1 | 0 | 0.51 | 2 | 4 | 0.50 | ||
| 7 | Sam Webber | Kings (STM) | C | 66 | 14 | 22 | 36 | 4 | 104 | 80 | 57 | 124 | 41 | 81 | 11.29% | 15 | 16.03 | 0.00 | 0 | 8 | 8 | 0 | 0 | 0 | 33 | 4 | 1 | 56.01% | 0 | 0 | 0.55 | 1 | 2 | 0.32 | ||
| 8 | Agust Danell | Kings (STM) | LW | 59 | 12 | 23 | 35 | -20 | 79 | 45 | 91 | 110 | 34 | 73 | 10.91% | 33 | 17.95 | 0.00 | 2 | 7 | 9 | 1 | 2 | 3 | 71 | 2 | 0 | 44.53% | 0 | 0 | 0.59 | 0 | 1 | 0.26 | ||
| 9 | Jakob Mirc | Kings (STM) | LW | 72 | 11 | 20 | 31 | -7 | 90 | 50 | 127 | 124 | 42 | 62 | 8.87% | 32 | 16.06 | 0.00 | 0 | 3 | 3 | 0 | 0 | 0 | 40 | 0 | 3 | 46.05% | 0 | 0 | 0.43 | 0 | 2 | 0.23 | ||
| 10 | Grigory Akatyev | Kings (STM) | D | 72 | 2 | 25 | 27 | -12 | 66 | 30 | 38 | 124 | 55 | 46 | 1.61% | 60 | 20.31 | 0.00 | 1 | 4 | 5 | 0 | 0 | 0 | 78 | 1 | 0 | 0.00% | 0 | 0 | 0.38 | 0 | 0 | 0.20 | ||
| 11 | Pierre-Maxime Leffler | Kings (STM) | D | 67 | 2 | 24 | 26 | -8 | 162 | 100 | 106 | 74 | 42 | 39 | 2.70% | 109 | 22.53 | 0.00 | 1 | 6 | 7 | 0 | 0 | 0 | 68 | 0 | 0 | 0.00% | 1 | 0 | 0.39 | 0 | 0 | -0.04 | ||
| 12 | Qu Zhibin | Kings (STM) | C | 63 | 16 | 7 | 23 | -3 | 0 | 0 | 95 | 91 | 37 | 46 | 17.58% | 13 | 12.28 | 0.00 | 4 | 1 | 5 | 0 | 0 | 0 | 1 | 2 | 1 | 55.69% | 0 | 0 | 0.37 | 0 | 1 | 0.43 | ||
| 13 | Pat Szmatula | Kings (STM) | C | 72 | 8 | 12 | 20 | -12 | 67 | 25 | 122 | 111 | 31 | 70 | 7.21% | 28 | 15.98 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 2 | 0 | 54.33% | 0 | 0 | 0.28 | 0 | 1 | 0.15 | ||
| 14 | Radko Majer | Kings (STM) | D | 72 | 1 | 15 | 16 | -8 | 170 | 120 | 158 | 60 | 28 | 19 | 1.67% | 88 | 20.46 | 0.00 | 0 | 2 | 2 | 0 | 0 | 0 | 77 | 0 | 0 | 0.00% | 0 | 0 | 0.22 | 0 | 0 | -0.15 | ||
| 15 | Aarre Lokki | Kings (STM) | RW | 18 | 4 | 8 | 12 | -6 | 0 | 0 | 11 | 61 | 19 | 47 | 6.56% | 7 | 19.66 | 0.00 | 2 | 1 | 3 | 0 | 0 | 0 | 9 | 1 | 0 | 41.03% | 0 | 1 | 0.67 | 1 | 1 | 0.68 | ||
| 16 | Carlos Donlon | Kings (STM) | D | 43 | 1 | 9 | 10 | -1 | 33 | 15 | 67 | 28 | 17 | 18 | 3.57% | 33 | 20.03 | 0.00 | 1 | 0 | 1 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0.23 | 1 | 1 | 0.12 | ||
| 17 | Cecil Pochiro | Kings (STM) | D | 72 | 0 | 9 | 9 | -7 | 126 | 70 | 114 | 41 | 23 | 20 | 0.00% | 97 | 16.95 | 0.00 | 0 | 1 | 1 | 0 | 0 | 0 | 34 | 0 | 0 | 100.00% | 0 | 0 | 0.13 | 0 | 0 | -0.14 | ||
| 18 | Vyacheslav Anfilofiyev | Kings (STM) | D | 63 | 0 | 6 | 6 | 12 | 4 | 0 | 69 | 14 | 8 | 10 | 0.00% | 25 | 7.81 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | 0.17 | ||
| 19 | 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 | ||
| 20 | Carlo Doe | Kings (STM) | RW | 25 | 1 | 2 | 3 | -1 | 4 | 0 | 3 | 9 | 7 | 9 | 11.11% | 3 | 6.42 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.12 | 0 | 0 | 0.08 | ||
| Team Total or Average | 1242 | 193 | 331 | 524 | -71 | 1220 | 770 | 1608 | 2009 | 710 | 1102 | 9.61% | 771 | 16.93 | 49 | 73 | 122 | 1252 | 1 | 2 | 3 | 777 | 26 | 16 | 51.74% | 3394 | 422 | 505 | 3 | 5 | 0.50 | 8 | 20 |
| 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) | 59 | 28 | 24 | 5 | 0.909 | 2.84 | 3404 | 6 | 0 | 161 | 1778 | 934 | 7 | 1 | 0.727 | 11 | 58 | 14 | 6 | 5 | 6 |
| 2 | Alizar Starcanka | Kings (STM) | 19 | 4 | 5 | 6 | 0.884 | 3.52 | 955 | 0 | 0 | 56 | 484 | 264 | 1 | 0 | 0.833 | 6 | 14 | 58 | 0 | 1 | 0 |
| Team Total or Average | 78 | 32 | 29 | 11 | 0.904 | 2.99 | 4360 | 6 | 0 | 217 | 2262 | 1198 | 8 | 1 | 0.765 | 17 | 72 | 72 | 6 | 6 | 6 |
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aarre Lokki ![]() | RW | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
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$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | |||
Pat Szmatula ![]() | C | 25 | 1,170,000$ | 1,170,000$ | 1,170,000$ | ||||||
Pierre-Maxime Leffler | D | 20 | 1,000,000$ | 1,000,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||
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$ | |||||||
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 | 7 | 1 | 3 | 0 | 1 | 2 | 0 | 0 | 24 | 26 | -2 | 6 | 0.429 | 24 | 41 | 65 | 0 | 0 | 62 | 66 | 75 | 13 | 201 | 657 | 729 | 728 | 47 | 234 | 81 | 177 | 163 | 12 | 2 | 16.67% | 16 | 5 | 68.75% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 51.2% | 11.9% | 88.9% | 100.8 | FUN |
| 2 | Jacks | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 3 | 0.500 | 5 | 8 | 13 | 0 | 0 | 62 | 66 | 75 | 13 | 86 | 657 | 729 | 728 | 47 | 106 | 34 | 104 | 78 | 12 | 2 | 16.67% | 7 | 2 | 71.43% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 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 | 62 | 66 | 75 | 13 | 61 | 657 | 729 | 728 | 47 | 48 | 7 | 38 | 47 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 71.4% | 18.0% | 89.6% | 107.6 | FUN |
| 4 | Wolverines | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 62 | 66 | 75 | 13 | 91 | 657 | 729 | 728 | 47 | 97 | 26 | 30 | 44 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 33.3% | 5.5% | 91.8% | 97.2 | DULL |
| 5 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 62 | 66 | 75 | 13 | 29 | 657 | 729 | 728 | 47 | 36 | 10 | 24 | 29 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 71.4% | 17.2% | 91.7% | 108.9 | LUCKY |
| 6 | Crusaders | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 7 | 13 | 0 | 0 | 62 | 66 | 75 | 13 | 65 | 657 | 729 | 728 | 47 | 51 | 24 | 23 | 41 | 7 | 3 | 42.86% | 4 | 0 | 100.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 50.0% | 9.2% | 94.1% | 103.3 | LUCKY |
| 7 | Bulldogs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 62 | 66 | 75 | 13 | 55 | 657 | 729 | 728 | 47 | 60 | 15 | 39 | 33 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 83.3% | 12.7% | 96.7% | 109.4 | LUCKY |
| 8 | Rock | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 62 | 66 | 75 | 13 | 62 | 657 | 729 | 728 | 47 | 72 | 19 | 24 | 40 | 6 | 3 | 50.00% | 2 | 1 | 50.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 27.3% | 9.7% | 87.5% | 97.2 | FUN |
| 9 | Auroras | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 14 | 11 | 3 | 6 | 0.750 | 14 | 23 | 37 | 0 | 0 | 62 | 66 | 75 | 13 | 101 | 657 | 729 | 728 | 47 | 99 | 27 | 77 | 74 | 14 | 2 | 14.29% | 6 | 1 | 83.33% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 54.5% | 13.9% | 88.9% | 102.8 | FUN |
| 10 | Jazz | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 8 | 8 | 0 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 62 | 66 | 75 | 13 | 64 | 657 | 729 | 728 | 47 | 57 | 15 | 43 | 55 | 4 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 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 | 62 | 66 | 75 | 13 | 50 | 657 | 729 | 728 | 47 | 72 | 28 | 9 | 39 | 2 | 1 | 50.00% | 2 | 2 | 0.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 33.3% | 8.0% | 88.9% | 96.9 | Unlucky |
| 12 | Wolfpack | 7 | 3 | 3 | 0 | 0 | 0 | 0 | 1 | 20 | 21 | -1 | 7 | 0.500 | 20 | 34 | 54 | 0 | 0 | 62 | 66 | 75 | 13 | 219 | 657 | 729 | 728 | 47 | 223 | 78 | 191 | 144 | 17 | 5 | 29.41% | 13 | 3 | 76.92% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 45.5% | 9.1% | 90.6% | 99.7 | FUN |
| 13 | Vipers | 7 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 18 | 22 | -4 | 5 | 0.357 | 18 | 31 | 49 | 0 | 0 | 62 | 66 | 75 | 13 | 230 | 657 | 729 | 728 | 47 | 219 | 81 | 156 | 159 | 3 | 0 | 0.00% | 18 | 7 | 61.11% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 54.5% | 7.8% | 90.0% | 97.8 | Unlucky |
| 14 | Devils | 4 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 12 | 15 | -3 | 5 | 0.625 | 12 | 18 | 30 | 0 | 0 | 62 | 66 | 75 | 13 | 136 | 657 | 729 | 728 | 47 | 143 | 49 | 70 | 109 | 9 | 5 | 55.56% | 11 | 5 | 54.55% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 41.2% | 8.8% | 89.5% | 98.3 | Unlucky |
| 15 | Guppies | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 17 | -7 | 2 | 0.250 | 10 | 19 | 29 | 0 | 0 | 62 | 66 | 75 | 13 | 112 | 657 | 729 | 728 | 47 | 131 | 48 | 101 | 80 | 11 | 5 | 45.45% | 8 | 5 | 37.50% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 29.4% | 8.9% | 87.0% | 96.0 | Unlucky |
| 16 | Stingers | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 62 | 66 | 75 | 13 | 60 | 657 | 729 | 728 | 47 | 56 | 18 | 19 | 51 | 9 | 4 | 44.44% | 2 | 0 | 100.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 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 | 62 | 66 | 75 | 13 | 28 | 657 | 729 | 728 | 47 | 40 | 16 | 6 | 19 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 50.0% | 17.9% | 85.0% | 102.9 | FUN |
| 18 | Hydra | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 11 | 19 | 0 | 0 | 62 | 66 | 75 | 13 | 54 | 657 | 729 | 728 | 47 | 60 | 19 | 16 | 32 | 7 | 4 | 57.14% | 3 | 0 | 100.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 33.3% | 14.8% | 86.7% | 101.5 | FUN |
| 19 | Phantoms | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 62 | 66 | 75 | 13 | 70 | 657 | 729 | 728 | 47 | 46 | 19 | 16 | 42 | 8 | 2 | 25.00% | 3 | 1 | 66.67% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 66.7% | 8.6% | 93.5% | 102.0 | DULL |
| 20 | Spartans | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 62 | 66 | 75 | 13 | 61 | 657 | 729 | 728 | 47 | 67 | 24 | 21 | 32 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 55.6% | 8.2% | 92.5% | 100.7 | DULL |
| 21 | Northmen | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 62 | 66 | 75 | 13 | 45 | 657 | 729 | 728 | 47 | 66 | 36 | 44 | 48 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 0.0% | 2.2% | 93.9% | 96.2 | DULL |
| 22 | Yeti | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 62 | 66 | 75 | 13 | 72 | 657 | 729 | 728 | 47 | 103 | 37 | 26 | 65 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 23.1% | 5.6% | 90.3% | 95.8 | Unlucky |
| 23 | Wild Wings | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 62 | 66 | 75 | 13 | 75 | 657 | 729 | 728 | 47 | 47 | 6 | 32 | 67 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 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 | 62 | 66 | 75 | 13 | 64 | 657 | 729 | 728 | 47 | 69 | 27 | 39 | 54 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 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 | 62 | 66 | 75 | 13 | 51 | 657 | 729 | 728 | 47 | 61 | 29 | 60 | 44 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 60.0% | 15.7% | 91.8% | 107.5 | LUCKY |
| _Vs Division | 23 | 6 | 10 | 0 | 1 | 3 | 0 | 1 | 65 | 74 | -9 | 18 | 0.391 | 65 | 108 | 173 | 0 | 0 | 62 | 66 | 75 | 13 | 706 | 657 | 729 | 728 | 47 | 775 | 269 | 581 | 548 | 55 | 14 | 25.45% | 49 | 15 | 69.39% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 46.4% | 9.2% | 90.5% | 99.7 | FUN | |
| _Vs Conference | 48 | 14 | 23 | 0 | 1 | 7 | 2 | 1 | 126 | 153 | -27 | 42 | 0.438 | 126 | 213 | 339 | 0 | 0 | 62 | 66 | 75 | 13 | 1432 | 657 | 729 | 728 | 47 | 1542 | 535 | 996 | 1051 | 100 | 26 | 26.00% | 94 | 31 | 67.02% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 45.0% | 8.8% | 90.1% | 98.9 | Unlucky | |
| _Since Last GM Reset | 72 | 24 | 29 | 0 | 4 | 10 | 4 | 1 | 211 | 219 | -8 | 75 | 0.521 | 211 | 349 | 560 | 1 | 0 | 62 | 66 | 75 | 13 | 2142 | 657 | 729 | 728 | 47 | 2263 | 773 | 1385 | 1589 | 164 | 48 | 29.27% | 131 | 43 | 67.18% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 48.1% | 9.9% | 90.3% | 100.2 | FUN | |
| Total | 72 | 24 | 29 | 0 | 4 | 10 | 4 | 1 | 211 | 219 | -8 | 75 | 0.521 | 211 | 349 | 560 | 1 | 0 | 62 | 66 | 75 | 13 | 2142 | 657 | 729 | 728 | 47 | 2263 | 773 | 1385 | 1589 | 164 | 48 | 29.27% | 131 | 43 | 67.18% | 0 | 846 | 1559 | 54.27% | 732 | 1438 | 50.90% | 548 | 1061 | 51.65% | 1496 | 836 | 1546 | 652 | 1326 | 673 | 48.1% | 9.9% | 90.3% | 100.2 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 20 |
| Neutral Zone | 18 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1559 |
| Neutral Zone Start | 1061 |
| Defensive Zone Start | 1438 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2126 |
| Faceoffs Lost | 1932 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.1 | 9.57 |
| 2nd Period | 19.3 | 20.31 |
| 3rd Period | 29.4 | 30.68 |
| Overtime | 30.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 162 |
|---|---|
| PP Goal | 48 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 17 | 15 |
| Lost | 15 | 14 |
| Overtime Lost | 5 | 6 |
| PP Attempt | 164 |
|---|---|
| PP Goal | 48 |
| PK Attempt | 131 |
| PK Goal Against | 43 |
| Home | |
|---|---|
| Shots For | 29.8 |
| Shots Against | 31.4 |
| Goals For | 2.9 |
| Goals Against | 3.0 |
| Hits | 22.1 |
| Shots Blocked | 10.7 |
| Pim | 19.2 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,849,000$ | 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 | 107068 | 69464 | |||
| Attendance PCT | 96.46% | 93.87% | 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 |
| 3 | 4771 - 95.42% | 149,465$ | 5,530,200$ | 5000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,849,000$ | 3,849,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,185,597$ | 3,849,000$ | 2,308,047$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 448,395$ | 18 | 32,986$ | 593,748$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 593,748$ | 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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