| 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Enver Mendrelyuk (R) | 20 | RW | 100.00 | 93 | 32 | 85 | 92 | 99 | 80 | 60 | 98 | 86 | 45 | 92 | 25 | 67 | 85 | 94 | 48 | 50 | 75 | 24 | 1,150,000$/1yrs | |||
Geordie von Wilke (R) | 19 | LW | 100.00 | 83 | 59 | 59 | 77 | 75 | 94 | 93 | 79 | 67 | 48 | 87 | 73 | 65 | 55 | 67 | 76 | 50 | 75 | 19 | 1,000,000$/2yrs | |||
Hannu-Petteri Hatinen | 14 | RW | 100.00 | 93 | 40 | 70 | 79 | 95 | 62 | 66 | 90 | 72 | 79 | 67 | 50 | 35 | 92 | 67 | 43 | 50 | 74 | 28 | 1,100,000$/2yrs | |||
Francois-Xavier Barnhart (R) | 74 | C | 100.00 | 40 | 60 | 63 | 64 | 89 | 83 | 88 | 95 | 99 | 65 | 82 | 45 | 89 | 52 | 90 | 46 | 50 | 74 | 25 | 1,100,000$/1yrs | |||
Soren Wanchuk (R) | 15 | RW | 100.00 | 29 | 58 | 78 | 76 | 73 | 77 | 61 | 92 | 46 | 99 | 60 | 71 | 91 | 47 | 60 | 59 | 50 | 74 | 22 | 800,000$/2yrs | |||
Ladzimir Lucanok (R) | 72 | C | 100.00 | 93 | 56 | 88 | 72 | 96 | 65 | 98 | 94 | 90 | 44 | 40 | 59 | 92 | 56 | 59 | 59 | 50 | 73 | 23 | 800,000$/1yrs | |||
David Hutchings (R) | 45 | LW | 100.00 | 76 | 49 | 83 | 96 | 83 | 99 | 52 | 89 | 72 | 50 | 66 | 47 | 55 | 58 | 79 | 59 | 50 | 72 | 24 | 1,900,000$/5yrs | |||
York Kiki | 76 | LW | 100.00 | 72 | 64 | 91 | 57 | 59 | 63 | 50 | 80 | 88 | 57 | 85 | 89 | 64 | 98 | 44 | 49 | 50 | 69 | 27 | ||||
Helge Radstrom (R) | 11 | RW | 100.00 | 44 | 58 | 62 | 63 | 96 | 72 | 71 | 92 | 47 | 42 | 80 | 55 | 60 | 34 | 43 | 61 | 50 | 67 | 23 | 700,000$/3yrs | |||
Jerri Viheriaranta (R) | 84 | C | 100.00 | 69 | 40 | 65 | 76 | 80 | 81 | 73 | 68 | 96 | 42 | 90 | 25 | 74 | 61 | 29 | 64 | 50 | 67 | 23 | 1,000,000$/4yrs | |||
Trent Cully (R) | 92 | LW | 100.00 | 39 | 32 | 68 | 58 | 68 | 93 | 61 | 91 | 43 | 50 | 92 | 25 | 75 | 86 | 74 | 60 | 50 | 64 | 23 | 900,000$/1yrs | |||
Bjornar Brobakken (R) | 16 | C | 100.00 | 38 | 47 | 60 | 92 | 42 | 58 | 87 | 87 | 96 | 50 | 55 | 32 | 39 | 36 | 71 | 51 | 50 | 62 | 24 | 750,000$/2yrs | |||
Marcel Kacmarik (R) | 9 | D | 100.00 | 75 | 68 | 80 | 77 | 89 | 94 | 95 | 87 | 79 | 80 | 82 | 54 | 84 | 66 | 74 | 67 | 50 | 81 | 19 | 1,000,000$/2yrs | |||
Jaryd Rooke (R) | 10 | D | 100.00 | 61 | 65 | 66 | 88 | 69 | 86 | 68 | 79 | 79 | 90 | 89 | 60 | 84 | 72 | 73 | 62 | 50 | 78 | 19 | 900,000$/2yrs | |||
Elan Holman (R) | 18 | D | 100.00 | 99 | 58 | 65 | 81 | 83 | 97 | 86 | 62 | 25 | 59 | 49 | 57 | 54 | 63 | 47 | 60 | 50 | 75 | 23 | 1,500,000$/3yrs | |||
Casey Fawcett (R) | 0 | D | 100.00 | 66 | 34 | 97 | 91 | 90 | 65 | 70 | 58 | 25 | 73 | 61 | 75 | 80 | 56 | 40 | 55 | 50 | 74 | 23 | 1,999,999$/3yrs | |||
Austen Gowler (R) | 25 | D | 100.00 | 51 | 50 | 81 | 96 | 85 | 82 | 76 | 94 | 25 | 50 | 44 | 71 | 53 | 70 | 33 | 64 | 50 | 72 | 23 | 1,045,000$/3yrs | |||
Kyrre Sakariassen (R) | 39 | D | 100.00 | 70 | 42 | 58 | 90 | 30 | 98 | 92 | 68 | 25 | 71 | 60 | 75 | 67 | 88 | 56 | 58 | 50 | 69 | 24 | 1,000,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jaden Herle (R) | 58 | RW | 100.00 | 50 | 43 | 91 | 80 | 59 | 79 | 57 | 92 | 56 | 87 | 51 | 58 | 54 | 88 | 56 | 45 | 50 | 70 | 25 | 1,990,900$/3yrs | |||
Wyatt Baslyk (R) | 41 | RW | 100.00 | 36 | 43 | 32 | 70 | 89 | 78 | 54 | 92 | 88 | 74 | 40 | 89 | 84 | 89 | 82 | 52 | 50 | 70 | 24 | 1,000,000$/2yrs | |||
Kellen Hopfner (R) | 37 | LW | 100.00 | 43 | 92 | 60 | 88 | 70 | 93 | 90 | 87 | 66 | 41 | 46 | 70 | 38 | 35 | 81 | 69 | 50 | 69 | 24 | 1,999,999$/2yrs | |||
Timofey Lichkov (R) | 85 | RW | 100.00 | 99 | 27 | 28 | 55 | 29 | 72 | 97 | 62 | 61 | 91 | 60 | 82 | 64 | 46 | 33 | 74 | 50 | 69 | 22 | 745,000$/4yrs | |||
Semyon Pashkov (R) | 89 | LW | 100.00 | 83 | 40 | 43 | 56 | 89 | 84 | 87 | 95 | 58 | 50 | 52 | 47 | 51 | 39 | 59 | 52 | 50 | 68 | 25 | 700,000$/1yrs | |||
Bartosch Gellert | 98 | C | 100.00 | 51 | 58 | 72 | 71 | 77 | 69 | 70 | 87 | 91 | 34 | 44 | 61 | 82 | 67 | 89 | 57 | 50 | 64 | 25 | 700,000$/2yrs | |||
Jonathan Sharpley | 26 | D | 100.00 | 56 | 48 | 72 | 88 | 84 | 72 | 51 | 91 | 25 | 82 | 75 | 73 | 50 | 41 | 54 | 21 | 50 | 76 | 32 | 1,999,999$/1yrs | |||
Dicky Money (R) | 8 | D | 100.00 | 71 | 63 | 86 | 91 | 65 | 75 | 67 | 90 | 25 | 67 | 59 | 55 | 62 | 53 | 40 | 61 | 50 | 73 | 25 | 1,330,000$/1yrs | |||
John Sodke (R) | 36 | D | 100.00 | 42 | 56 | 74 | 85 | 80 | 59 | 76 | 80 | 25 | 30 | 36 | 62 | 77 | 57 | 62 | 61 | 50 | 63 | 24 | 700,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tord Tourula | 32 | 100.00 | 82 | 66 | 96 | 69 | 99 | 81 | 81 | 66 | 72 | 52 | 90 | 84 | 29 | 60 | 50 | 76 | 24 | 1,400,000$/2yrs |
Sargent Beasley | 47 | 100.00 | 80 | 58 | 71 | 85 | 58 | 83 | 79 | 74 | 80 | 83 | 85 | 79 | 60 | 64 | 50 | 75 | 21 | 1,000,000$/1yrs |
| Scratches | ||||||||||||||||||||
Stan Krowina | 34 | 100.00 | 94 | 50 | 91 | 99 | 71 | 50 | 48 | 80 | 74 | 92 | 77 | 94 | 53 | 56 | 50 | 75 | 25 | 900,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Rueben Maccorry | 56 | 99 | 73 | 64 | 42 | 80 | 84 | USA | 41 | 2 | 1,000,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Kris Nissen |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Austen Gowler | D | 23 | 1,045,000$ | 1,045,000$ | 1,045,000$ | 1,045,000$ | |||||
Bartosch Gellert ![]() | C | 25 | 700,000$ | 700,000$ | 700,000$ | ||||||
Bjornar Brobakken | C | 24 | 750,000$ | 750,000$ | 750,000$ | ||||||
Casey Fawcett | D | 23 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||||
David Hutchings | LW | 24 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | |||
Dicky Money ![]() | D | 25 | 1,330,000$ | 1,330,000$ | |||||||
Elan Holman | D | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Enver Mendrelyuk | RW | 24 | 1,150,000$ | 1,150,000$ | |||||||
Francois-Xavier Barnhart ![]() | C | 25 | 1,100,000$ | 1,100,000$ | |||||||
Geordie von Wilke | LW | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Hannu-Petteri Hatinen ![]() | RW | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Helge Radstrom | RW | 23 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Jaden Herle ![]() | RW | 25 | 1,990,900$ | 1,990,900$ | 1,990,900$ | 1,990,900$ | |||||
Jaryd Rooke | D | 19 | 900,000$ | 900,000$ | 900,000$ | ||||||
Jerri Viheriaranta | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
John Sodke | D | 24 | 700,000$ | 700,000$ | 700,000$ | ||||||
Jonathan Sharpley ![]() | D | 32 | 1,999,999$ | 1,999,999$ | |||||||
Kellen Hopfner | LW | 24 | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||||
Kyrre Sakariassen | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Ladzimir Lucanok | C | 23 | 800,000$ | 800,000$ | |||||||
Marcel Kacmarik | D | 19 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Sargent Beasley | G | 21 | 1,000,000$ | 1,000,000$ | |||||||
Semyon Pashkov ![]() | LW | 25 | 700,000$ | 700,000$ | |||||||
Soren Wanchuk | RW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Stan Krowina ![]() | G | 25 | 900,000$ | 900,000$ | |||||||
Timofey Lichkov | RW | 22 | 745,000$ | 745,000$ | 745,000$ | 745,000$ | 745,000$ | ||||
Tord Tourula | G | 24 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Trent Cully | LW | 23 | 900,000$ | 900,000$ | |||||||
Wyatt Baslyk | RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
York Kiki ![]() | LW | 27 | 0$ | 0$ |
| 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 |
| 3,311,090$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Albuquerque | |
| 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 |
| 3,311,090$ | 3,311,090$ | 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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