| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 |
| GM: Kelly Flewelling | League Rank:2nd | Arena: Yukon Arena |
| Conference: Western Conference | Conference Rank:2nd | Capacity:3,000 |
| Division: Northwest | Division Rank:1st | Total Player Salaries:2,610,714$ |
| Captain: Pasi Korvo | Last 10: 0-0-0 | |
| Coach: Jim Hendricks | Home: 0-0-0 | |
| All-Time Record: 187 W - 180 L - 33 OTL | Away: 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Maik Azeyev (R) | 47 | LW | 100.00 | 50 | 55 | 78 | 65 | 90 | 70 | 90 | 77 | 68 | 93 | 42 | 87 | 85 | 54 | 75 | 62 | 50 | 76 | 23 | 980,000$/2yrs | |||
Mikkomatti Niinivirta (R) | 75 | LW | 100.00 | 88 | 42 | 78 | 72 | 83 | 73 | 72 | 65 | 58 | 78 | 78 | 91 | 37 | 88 | 56 | 64 | 50 | 76 | 23 | 1,500,000$/3yrs | |||
Grigory Pomorov (R) (A) | 48 | C | 100.00 | 46 | 50 | 82 | 56 | 76 | 95 | 59 | 75 | 65 | 93 | 57 | 99 | 89 | 48 | 90 | 66 | 50 | 75 | 22 | 1,000,000$/1yrs | |||
Oscar Mavrogiannakis (R) | 80 | LW | 100.00 | 68 | 52 | 30 | 73 | 84 | 68 | 85 | 84 | 57 | 79 | 57 | 99 | 36 | 56 | 48 | 64 | 50 | 75 | 23 | 1,177,140$/5yrs | |||
Judd Nesbitt (R) | 52 | RW | 100.00 | 40 | 54 | 60 | 96 | 88 | 99 | 90 | 79 | 82 | 82 | 53 | 29 | 71 | 73 | 59 | 73 | 50 | 75 | 21 | 900,000$/2yrs | |||
Bryan Stickley (R) | 84 | RW | 100.00 | 99 | 65 | 72 | 79 | 54 | 75 | 94 | 77 | 48 | 76 | 77 | 56 | 65 | 29 | 56 | 56 | 50 | 74 | 25 | 1,000,000$/1yrs | |||
Teuvo Kuuri (R) | 45 | RW | 100.00 | 99 | 33 | 64 | 56 | 68 | 88 | 72 | 98 | 91 | 77 | 59 | 54 | 62 | 94 | 53 | 52 | 50 | 74 | 25 | 1,999,999$/1yrs | |||
Vitezslav Poupa (R) | 92 | C | 100.00 | 86 | 63 | 51 | 65 | 86 | 89 | 87 | 51 | 65 | 72 | 69 | 88 | 59 | 63 | 72 | 75 | 50 | 74 | 20 | 900,000$/2yrs | |||
Nels Forget | 40 | C | 100.00 | 83 | 63 | 68 | 61 | 94 | 96 | 72 | 64 | 94 | 79 | 54 | 35 | 91 | 75 | 68 | 38 | 50 | 72 | 28 | 900,000$/1yrs | |||
Markos Kuuva (R) | 61 | RW | 100.00 | 35 | 65 | 86 | 72 | 41 | 78 | 85 | 58 | 94 | 70 | 65 | 33 | 81 | 50 | 37 | 58 | 50 | 64 | 25 | 700,000$/1yrs | |||
Pasi Korvo (R) (C) | 77 | D | 100.00 | 73 | 60 | 60 | 78 | 74 | 70 | 96 | 79 | 82 | 87 | 85 | 65 | 63 | 69 | 77 | 61 | 50 | 78 | 19 | 1,000,000$/2yrs | |||
Caelan Ranford (R) | 2 | D | 100.00 | 74 | 42 | 90 | 70 | 93 | 99 | 59 | 66 | 25 | 67 | 73 | 87 | 57 | 73 | 56 | 80 | 50 | 77 | 21 | 900,000$/1yrs | |||
Albin Kahonen | 4 | D | 100.00 | 83 | 58 | 31 | 96 | 74 | 68 | 73 | 68 | 25 | 73 | 56 | 97 | 85 | 60 | 68 | 42 | 50 | 76 | 27 | 1,800,000$/1yrs | |||
Teodor Marcinkievic (R) (A) | 25 | D | 100.00 | 75 | 38 | 73 | 73 | 91 | 86 | 99 | 81 | 25 | 53 | 36 | 84 | 56 | 89 | 82 | 68 | 50 | 76 | 22 | 800,000$/2yrs | |||
Anton Roy | 56 | D | 100.00 | 70 | 37 | 96 | 88 | 37 | 76 | 70 | 99 | 25 | 86 | 70 | 50 | 39 | 87 | 71 | 44 | 50 | 75 | 26 | 1,500,000$/1yrs | |||
Vytal Lancien (R) | 8 | D | 100.00 | 87 | 51 | 55 | 64 | 75 | 82 | 78 | 76 | 25 | 63 | 38 | 97 | 45 | 70 | 59 | 71 | 50 | 74 | 21 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Rawley Pryor (R) | 12 | C | 100.00 | 74 | 59 | 75 | 71 | 64 | 99 | 62 | 88 | 92 | 60 | 77 | 73 | 66 | 79 | 45 | 71 | 50 | 74 | 21 | 800,000$/2yrs | |||
Aleksandr Poiseyev (R) | 67 | LW | 100.00 | 61 | 34 | 84 | 59 | 89 | 66 | 75 | 85 | 86 | 72 | 48 | 52 | 47 | 74 | 64 | 67 | 50 | 70 | 24 | ||||
Cash Courchaine | 23 | C | 100.00 | 29 | 48 | 58 | 90 | 56 | 69 | 76 | 58 | 99 | 50 | 82 | 67 | 88 | 53 | 92 | 53 | 50 | 67 | 26 | ||||
Mich Soquila (R) | 57 | RW | 100.00 | 31 | 39 | 85 | 51 | 83 | 63 | 55 | 75 | 63 | 84 | 59 | 64 | 84 | 32 | 90 | 51 | 50 | 67 | 25 | 750,000$/1yrs | |||
Anatoly Petukhov | 83 | C | 100.00 | 76 | 36 | 95 | 68 | 81 | 72 | 55 | 64 | 92 | 35 | 78 | 61 | 70 | 69 | 48 | 55 | 50 | 66 | 25 | 700,000$/1yrs | |||
Trafim Zuew (R) | 81 | LW | 100.00 | 87 | 44 | 91 | 60 | 50 | 71 | 47 | 56 | 83 | 88 | 57 | 23 | 82 | 80 | 60 | 59 | 50 | 63 | 24 | 700,000$/1yrs | |||
Kobe Babych (R) | 44 | D | 100.00 | 69 | 56 | 90 | 53 | 96 | 99 | 56 | 79 | 25 | 82 | 69 | 88 | 83 | 66 | 51 | 72 | 50 | 78 | 21 | ||||
Frederick Weston (R) | 74 | D | 100.00 | 65 | 39 | 64 | 56 | 64 | 85 | 55 | 87 | 25 | 72 | 48 | 88 | 93 | 35 | 40 | 63 | 50 | 68 | 25 | 1,999,999$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michal Diro | 31 | 100.00 | 83 | 72 | 91 | 68 | 69 | 85 | 73 | 69 | 81 | 69 | 72 | 82 | 86 | 52 | 50 | 76 | 19 | 900,000$/2yrs |
Zachary Andjelic | 41 | 100.00 | 65 | 92 | 79 | 73 | 84 | 47 | 56 | 82 | 92 | 84 | 66 | 66 | 47 | 61 | 50 | 75 | 25 | 1,600,000$/2yrs |
| Scratches | ||||||||||||||||||||
Fisk Walwyn | 30 | 100.00 | 83 | 75 | 96 | 87 | 75 | 56 | 62 | 62 | 65 | 90 | 47 | 31 | 62 | 70 | 50 | 75 | 21 | 800,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Jim Hendricks | 57 | 95 | 94 | 65 | 97 | 56 | 55 | USA | 53 | 3 | 400,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Kelly Flewelling |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Albin Kahonen ![]() | D | 27 | 1,800,000$ | 1,800,000$ | |||||||
Aleksandr Poiseyev | LW | 24 | 0$ | 0$ | |||||||
Anatoly Petukhov ![]() | C | 25 | 700,000$ | 700,000$ | |||||||
Anton Roy ![]() | D | 26 | 1,500,000$ | 1,500,000$ | |||||||
Bryan Stickley ![]() | RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Caelan Ranford | D | 21 | 900,000$ | 900,000$ | |||||||
Cash Courchaine ![]() | C | 26 | 0$ | 0$ | |||||||
Fisk Walwyn | G | 21 | 800,000$ | 800,000$ | |||||||
Frederick Weston ![]() | D | 25 | 1,999,999$ | 1,999,999$ | |||||||
Grigory Pomorov | C | 22 | 1,000,000$ | 1,000,000$ | |||||||
Judd Nesbitt | RW | 21 | 900,000$ | 900,000$ | 900,000$ | ||||||
Kobe Babych | D | 21 | 0$ | 0$ | |||||||
Maik Azeyev | LW | 23 | 980,000$ | 980,000$ | 980,000$ | ||||||
Markos Kuuva ![]() | RW | 25 | 700,000$ | 700,000$ | |||||||
Mich Soquila ![]() | RW | 25 | 750,000$ | 750,000$ | |||||||
Michal Diro | G | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Mikkomatti Niinivirta | LW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Nels Forget ![]() | C | 28 | 900,000$ | 900,000$ | |||||||
Oscar Mavrogiannakis | LW | 23 | 1,177,140$ | 1,177,140$ | 1,177,140$ | 1,177,140$ | 1,177,140$ | 1,177,140$ | |||
Pasi Korvo | D | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Rawley Pryor | C | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Teodor Marcinkievic | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Teuvo Kuuri ![]() | RW | 25 | 1,999,999$ | 1,999,999$ | |||||||
Trafim Zuew | LW | 24 | 700,000$ | 700,000$ | |||||||
Vitezslav Poupa | C | 20 | 900,000$ | 900,000$ | 900,000$ | ||||||
Vytal Lancien | D | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Zachary Andjelic ![]() | G | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ |
| 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 |
| 2,610,714$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Yukon | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 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 | |||||
|---|---|---|---|---|---|
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| 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 |
| 2,610,714$ | 2,610,714$ | 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 |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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