| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 |
| 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 | |||
 Anrei Loukonen (R) | 37 | RW | 100.00 | 88 | 26 | 58 | 93 | 99 | 75 | 56 | 78 | 83 | 50 | 90 | 87 | 81 | 37 | 73 | 65 | 50 | 77 | 21 | 1,999,999$/4yrs | |||
 Blaz Ivanic (R) | 0 | C | 100.00 | 49 | 62 | 62 | 73 | 73 | 76 | 93 | 91 | 88 | 77 | 70 | 72 | 80 | 79 | 63 | 63 | 50 | 76 | 19 | 1,000,000$/2yrs | |||
 Marcel Cizmarik (R) | 49 | C | 100.00 | 28 | 58 | 83 | 90 | 79 | 97 | 64 | 70 | 89 | 78 | 84 | 42 | 80 | 57 | 52 | 64 | 50 | 74 | 24 | 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 | |||
 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$/1yrs | |||
 Pierre-Maxime Leffler (R) | 84 | D | 100.00 | 80 | 72 | 67 | 65 | 86 | 72 | 89 | 63 | 67 | 67 | 71 | 82 | 84 | 79 | 81 | 62 | 50 | 76 | 20 | 1,000,000$/1yrs | |||
 Giles Bedford (R) | 0 | D | 100.00 | 35 | 59 | 68 | 75 | 93 | 92 | 98 | 61 | 25 | 51 | 49 | 99 | 43 | 54 | 63 | 70 | 50 | 76 | 22 | 800,000$/2yrs | |||
 Yury Koznov | 24 | D | 100.00 | 89 | 56 | 82 | 88 | 66 | 79 | 74 | 79 | 25 | 89 | 39 | 55 | 71 | 63 | 41 | 39 | 50 | 73 | 28 | 1,180,000$/2yrs | |||
 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$/2yrs | |||
 Spike Stroud | 80 | D | 100.00 | 69 | 61 | 60 | 94 | 70 | 91 | 68 | 85 | 25 | 57 | 45 | 48 | 79 | 88 | 51 | 50 | 50 | 68 | 25 | 1,200,000$/1yrs | |||
 Price Younger (R) | 19 | D | 100.00 | 85 | 49 | 88 | 68 | 58 | 74 | 58 | 75 | 25 | 33 | 67 | 75 | 69 | 70 | 98 | 65 | 50 | 66 | 24 | 1,100,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
 Qu Zhibin (R) | 58 | C | 100.00 | 88 | 43 | 85 | 77 | 62 | 60 | 71 | 88 | 97 | 63 | 51 | 36 | 85 | 37 | 48 | 62 | 50 | 67 | 23 | 800,000$/1yrs | |||
 Patrik Kosatka | 59 | C | 100.00 | 37 | 38 | 81 | 95 | 40 | 66 | 72 | 80 | 67 | 37 | 53 | 95 | 44 | 48 | 99 | 50 | 50 | 65 | 25 | ||||
 Duncan Friedel (R) | 92 | LW | 100.00 | 54 | 44 | 57 | 76 | 57 | 50 | 53 | 59 | 88 | 49 | 89 | 81 | 62 | 59 | 55 | 53 | 50 | 64 | 25 | ||||
 Brendyn Ellis (R) | 96 | C | 100.00 | 38 | 51 | 83 | 82 | 47 | 55 | 59 | 89 | 79 | 59 | 82 | 23 | 92 | 68 | 50 | 61 | 50 | 63 | 23 | ||||
 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$/4yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Kenneth Kris | 38 | 100.00 | 81 | 89 | 97 | 79 | 84 | 73 | 58 | 69 | 93 | 52 | 92 | 55 | 77 | 64 | 50 | 78 | 23 | 900,000$/1yrs |
| Scratches | ||||||||||||||||||||
 Saku-Petteri Tahvanainen | 74 | 100.00 | 62 | 51 | 51 | 93 | 77 | 62 | 74 | 91 | 65 | 51 | 48 | 89 | 66 | 68 | 50 | 68 | 23 | |
| 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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG |
|---|
| 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 |
|---|
| Player Name | POS | Age | Cap Hit | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Anrei Loukonen  | RW | 21 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||
| Blaz Ivanic | C | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Brendyn Ellis | C | 23 | 0$ | 0$ | |||||||
| Carlos Donlon | D | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
| Duncan Friedel | LW | 25 | 0$ | 0$ | |||||||
| Geoff Mcquistan | LW | 24 | 1,890,000$ | 1,890,000$ | 1,890,000$ | 1,890,000$ | 1,890,000$ | ||||
| Giles Bedford | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
| 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 Vanderveeken | LW | 23 | 1,000,000$ | 1,000,000$ | |||||||
| Kenneth Kris | G | 23 | 900,000$ | 900,000$ | |||||||
| Marcel Cizmarik | C | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
| Pat Szmatula | C | 25 | 1,170,000$ | 1,170,000$ | 1,170,000$ | ||||||
| Patrik Kosatka | C | 25 | 0$ | 0$ | |||||||
| Pierre-Maxime Leffler | D | 20 | 1,000,000$ | 1,000,000$ | |||||||
| Price Younger | D | 24 | 1,100,000$ | 1,100,000$ | |||||||
| Qu Zhibin | C | 23 | 800,000$ | 800,000$ | |||||||
| Saku-Petteri Tahvanainen | G | 23 | 0$ | 0$ | |||||||
| Sam Webber | C | 31 | 1,600,000$ | 1,600,000$ | |||||||
| Spike Stroud | D | 25 | 1,200,000$ | 1,200,000$ | |||||||
| Ty Godfrey | RW | 21 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 0 |
| Neutral Zone | 0 |
| Defensive Zone | 0 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | 0 |
| Without Puck | 0 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 0.0 | 9.57 |
| 2nd Period | 0.0 | 20.31 |
| 3rd Period | 0.0 | 30.68 |
| Overtime | 0.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.0 | 0.64 |
| 2nd Period | 0.0 | 1.65 |
| 3rd Period | 0.0 | 2.67 |
| Overtime | 0.0 | 2.83 |
| Even Strenght Goal | 0 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 0 | 0 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 0 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 0 |
| PK Goal Against | 0 |
| Home | |
|---|---|
| Shots For | 0.0 |
| Shots Against | 0.0 |
| Goals For | 0.0 |
| Goals Against | 0.0 |
| Hits | 0.0 |
| Shots Blocked | 0.0 |
| Pim | 0.0 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,284,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Kelowna | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
 |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 30$ | 15$ | $ | $ | $ |
| Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,284,000$ | 2,284,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
| 
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Rookie
Injured 
Cold Streak 
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
|---|---|---|
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