| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 |
GM: Jason Karutz Y3 WJT silver |
League Rank:10th | Arena: Anchorage Arena |
| Conference: Western Conference | Conference Rank:5th | Capacity:3,000 |
| Division: Northwest | Division Rank:3rd | Total Player Salaries:2,078,590$ |
| Captain: Ari-Jukka Kariniemi | Last 10: 0-0-0 | |
| Coach: Yuvenaly Dmitriyev | Home: 0-0-0 | |
| All-Time Record: 187 W - 175 L - 38 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Benjamin Joule | 9 | C | 100.00 | 78 | 36 | 75 | 65 | 96 | 99 | 79 | 80 | 80 | 85 | 70 | 46 | 83 | 41 | 37 | 25 | 50 | 78 | 30 | ||||
Darian Goebel | 0 | LW | 100.00 | 40 | 58 | 91 | 74 | 70 | 90 | 57 | 90 | 77 | 90 | 60 | 96 | 43 | 56 | 31 | 63 | 50 | 78 | 24 | ||||
Dunmore Heckman | 0 | RW | 100.00 | 82 | 61 | 66 | 99 | 42 | 88 | 83 | 98 | 59 | 98 | 60 | 34 | 90 | 89 | 78 | 33 | 50 | 75 | 30 | ||||
Noel Ottosson (R) | 0 | RW | 100.00 | 31 | 36 | 74 | 92 | 59 | 77 | 58 | 82 | 59 | 95 | 94 | 68 | 62 | 37 | 63 | 61 | 50 | 75 | 24 | ||||
Keane Mackee (R) | 0 | RW | 100.00 | 55 | 45 | 64 | 73 | 80 | 98 | 62 | 74 | 71 | 89 | 44 | 88 | 73 | 68 | 38 | 60 | 50 | 75 | 23 | 1,000,000$/1yrs | |||
Silvio Schmidt (R) | 0 | LW | 100.00 | 77 | 67 | 81 | 66 | 72 | 81 | 76 | 80 | 81 | 68 | 71 | 80 | 80 | 67 | 67 | 69 | 50 | 75 | 22 | 900,000$/2yrs | |||
Shayne Vallorani | 0 | RW | 100.00 | 56 | 45 | 99 | 88 | 60 | 90 | 64 | 72 | 65 | 80 | 40 | 97 | 52 | 87 | 74 | 33 | 50 | 74 | 29 | 1,543,686$/2yrs | |||
Ora-Antti Selanne | 0 | C | 100.00 | 47 | 51 | 67 | 90 | 62 | 99 | 89 | 66 | 98 | 47 | 82 | 78 | 98 | 98 | 70 | 34 | 50 | 74 | 29 | 1,409,695$/2yrs | |||
Luca Syvapuro | 0 | C | 100.00 | 63 | 54 | 64 | 62 | 61 | 94 | 54 | 90 | 98 | 53 | 99 | 90 | 95 | 35 | 81 | 17 | 50 | 74 | 32 | ||||
Ruslan Yerakov | 0 | C | 100.00 | 49 | 43 | 90 | 81 | 67 | 88 | 80 | 73 | 81 | 81 | 72 | 42 | 45 | 61 | 38 | 10 | 50 | 73 | 33 | 1,247,656$/1yrs | |||
Gennady Roshchin (R) | 0 | RW | 100.00 | 86 | 42 | 66 | 63 | 76 | 87 | 88 | 77 | 58 | 65 | 62 | 55 | 38 | 30 | 51 | 73 | 50 | 71 | 22 | 800,000$/2yrs | |||
Valery Vladimirov (R) | 0 | LW | 100.00 | 48 | 55 | 78 | 72 | 94 | 67 | 57 | 89 | 91 | 54 | 64 | 81 | 74 | 81 | 56 | 71 | 50 | 71 | 22 | 800,000$/2yrs | |||
Jessie Burgdoerfer | 14 | D | 100.00 | 81 | 45 | 96 | 61 | 69 | 95 | 54 | 99 | 25 | 84 | 46 | 91 | 70 | 75 | 45 | 11 | 50 | 76 | 33 | 1,766,594$/1yrs | |||
Lasse Muikku | 0 | D | 100.00 | 43 | 46 | 79 | 88 | 78 | 61 | 89 | 67 | 25 | 84 | 66 | 96 | 69 | 99 | 83 | 64 | 50 | 76 | 24 | 1,229,136$/3yrs | |||
Vilem Zavorka | 0 | D | 100.00 | 63 | 63 | 68 | 62 | 95 | 78 | 97 | 79 | 25 | 64 | 55 | 79 | 46 | 39 | 86 | 22 | 50 | 76 | 31 | ||||
Ari-Jukka Kariniemi (C) | 0 | D | 100.00 | 64 | 34 | 72 | 92 | 63 | 87 | 53 | 93 | 25 | 51 | 44 | 99 | 91 | 74 | 98 | 33 | 50 | 71 | 29 | 1,522,503$/1yrs | |||
Adler Malley (R) | 0 | D | 100.00 | 60 | 32 | 63 | 68 | 65 | 97 | 55 | 68 | 25 | 71 | 29 | 97 | 53 | 89 | 53 | 58 | 50 | 69 | 23 | 1,560,000$/1yrs | |||
Norihisa Kakuta (R) | 0 | D | 100.00 | 80 | 37 | 72 | 64 | 60 | 70 | 56 | 96 | 25 | 43 | 75 | 92 | 68 | 39 | 92 | 62 | 50 | 68 | 23 | 1,560,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
R.J. Upton | 79 | LW | 100.00 | 90 | 61 | 91 | 61 | 83 | 94 | 61 | 74 | 79 | 87 | 64 | 59 | 94 | 68 | 36 | 0 | 50 | 76 | 35 | ||||
Benedikt Hedqvist | 0 | LW | 100.00 | 65 | 53 | 83 | 82 | 72 | 85 | 52 | 83 | 85 | 92 | 55 | 55 | 78 | 57 | 89 | 35 | 50 | 74 | 29 | ||||
Greyson Konotopetz | 0 | LW | 100.00 | 79 | 39 | 74 | 72 | 67 | 59 | 78 | 60 | 90 | 97 | 59 | 43 | 72 | 92 | 61 | 32 | 50 | 70 | 30 | ||||
Venyamin Pashnin (R) | 0 | C | 100.00 | 29 | 42 | 72 | 91 | 78 | 77 | 89 | 69 | 59 | 40 | 75 | 82 | 44 | 67 | 91 | 64 | 50 | 70 | 24 | 786,000$/2yrs | |||
Mikhail Bekasov | 0 | C | 100.00 | 46 | 32 | 61 | 55 | 44 | 51 | 49 | 87 | 59 | 86 | 41 | 83 | 90 | 43 | 39 | 52 | 50 | 62 | 25 | ||||
John Kaukinen | 0 | D | 100.00 | 99 | 56 | 74 | 80 | 67 | 88 | 73 | 75 | 25 | 86 | 81 | 54 | 65 | 41 | 37 | 18 | 50 | 77 | 31 | ||||
Yefim Repetsky | 0 | D | 100.00 | 67 | 47 | 87 | 83 | 89 | 78 | 50 | 87 | 25 | 57 | 60 | 45 | 35 | 43 | 78 | 43 | 50 | 70 | 26 | 1,400,000$/1yrs | |||
Harris Lunty | 0 | D | 100.00 | 80 | 56 | 73 | 89 | 87 | 65 | 49 | 74 | 25 | 37 | 52 | 72 | 32 | 77 | 84 | 53 | 50 | 69 | 26 | ||||
Baron Knowles | 0 | D | 100.00 | 67 | 39 | 63 | 58 | 72 | 68 | 72 | 89 | 25 | 39 | 70 | 80 | 87 | 97 | 61 | 56 | 50 | 66 | 26 | 1,130,000$/1yrs | |||
Hayden Ollerton (R) | 0 | D | 100.00 | 27 | 28 | 67 | 86 | 47 | 50 | 48 | 82 | 25 | 50 | 29 | 79 | 83 | 95 | 77 | 63 | 50 | 55 | 23 | ||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Vladislav Stasenko | 0 | 100.00 | 78 | 67 | 96 | 79 | 73 | 61 | 86 | 93 | 80 | 49 | 64 | 34 | 62 | 68 | 50 | 76 | 23 | 2,130,616$/5yrs |
| Scratches | ||||||||||||||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Yuvenaly Dmitriyev | 82 | 75 | 72 | 82 | 49 | 86 | 82 | RUS | 40 | 2 | 400,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Jason Karutz |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adler Malley | D | 23 | 1,560,000$ | 1,560,000$ | |||||||
Ari-Jukka Kariniemi ![]() | D | 29 | 1,522,503$ | 1,522,503$ | |||||||
Baron Knowles ![]() | D | 26 | 1,130,000$ | 1,130,000$ | |||||||
Benedikt Hedqvist ![]() | LW | 29 | 0$ | 0$ | |||||||
Benjamin Joule ![]() | C | 30 | 0$ | 0$ | |||||||
Darian Goebel | LW | 24 | 0$ | 0$ | |||||||
Dunmore Heckman ![]() | RW | 30 | 0$ | 0$ | |||||||
Gennady Roshchin | RW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Greyson Konotopetz ![]() | LW | 30 | 0$ | 0$ | |||||||
Harris Lunty ![]() | D | 26 | 0$ | 0$ | |||||||
Hayden Ollerton | D | 23 | 0$ | 0$ | |||||||
Jessie Burgdoerfer ![]() | D | 33 | 1,766,594$ | 1,766,594$ | |||||||
John Kaukinen ![]() | D | 31 | 0$ | 0$ | |||||||
Keane Mackee | RW | 23 | 1,000,000$ | 1,000,000$ | |||||||
Lasse Muikku | D | 24 | 1,229,136$ | 1,229,136$ | 1,229,136$ | 1,229,136$ | |||||
Luca Syvapuro ![]() | C | 32 | 0$ | 0$ | |||||||
Mikhail Bekasov ![]() | C | 25 | 0$ | 0$ | |||||||
Noel Ottosson | RW | 24 | 0$ | 0$ | |||||||
Norihisa Kakuta | D | 23 | 1,560,000$ | 1,560,000$ | 1,560,000$ | 1,560,000$ | |||||
Ora-Antti Selanne ![]() | C | 29 | 1,409,695$ | 1,409,695$ | 1,409,695$ | ||||||
R.J. Upton ![]() | LW | 35 | 0$ | 0$ | |||||||
Ruslan Yerakov ![]() | C | 33 | 1,247,656$ | 1,247,656$ | |||||||
Shayne Vallorani ![]() | RW | 29 | 1,543,686$ | 1,543,686$ | 1,543,686$ | ||||||
Silvio Schmidt | LW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Valery Vladimirov | LW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Venyamin Pashnin | C | 24 | 786,000$ | 786,000$ | 786,000$ | ||||||
Vilem Zavorka ![]() | D | 31 | 0$ | 0$ | |||||||
Vladislav Stasenko | G | 23 | 2,130,616$ | 2,130,616$ | 2,130,616$ | 2,130,616$ | 2,130,616$ | 2,130,616$ | |||
Yefim Repetsky ![]() | D | 26 | 1,400,000$ | 1,400,000$ |
| 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 |
| 2,078,590$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Anchorage | |
| 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 |
| 2,078,590$ | 2,078,590$ | 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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