

























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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 95 | LW | 100.00 | 96 | 53 | 78 | 99 | 62 | 78 | 90 | 62 | 55 | 70 | 60 | 99 | 89 | 86 | 33 | 58 | 50 | 77 | 24 | 1,000,000$/2yrs | |||
![]() | 92 | RW | 100.00 | 55 | 62 | 72 | 80 | 94 | 97 | 63 | 63 | 93 | 71 | 88 | 57 | 78 | 89 | 98 | 62 | 50 | 76 | 24 | 1,750,000$/5yrs | |||
![]() | 72 | C | 100.00 | 91 | 56 | 89 | 71 | 95 | 63 | 96 | 94 | 90 | 42 | 40 | 56 | 92 | 56 | 59 | 65 | 50 | 71 | 22 | 800,000$/2yrs | |||
![]() | 76 | LW | 100.00 | 72 | 64 | 91 | 58 | 61 | 64 | 50 | 80 | 88 | 57 | 86 | 89 | 64 | 98 | 44 | 53 | 50 | 70 | 26 | 700,000$/1yrs | |||
![]() | 11 | RW | 100.00 | 44 | 58 | 62 | 64 | 97 | 71 | 70 | 93 | 47 | 42 | 78 | 55 | 60 | 34 | 43 | 66 | 50 | 67 | 22 | 700,000$/4yrs | |||
![]() | 84 | C | 100.00 | 68 | 40 | 65 | 77 | 82 | 81 | 72 | 67 | 95 | 39 | 91 | 27 | 74 | 61 | 29 | 68 | 50 | 67 | 22 | 1,000,000$/5yrs | |||
![]() | 98 | C | 100.00 | 51 | 58 | 72 | 71 | 77 | 69 | 70 | 87 | 91 | 34 | 44 | 61 | 82 | 67 | 89 | 57 | 50 | 64 | 24 | 700,000$/3yrs | |||
![]() | 92 | LW | 100.00 | 40 | 32 | 68 | 58 | 68 | 92 | 60 | 91 | 43 | 50 | 92 | 27 | 75 | 86 | 74 | 63 | 50 | 64 | 22 | 900,000$/2yrs | |||
![]() | 78 | D | 100.00 | 93 | 57 | 58 | 93 | 87 | 72 | 78 | 80 | 25 | 58 | 33 | 82 | 81 | 81 | 98 | 67 | 50 | 76 | 22 | 1,225,000$/1yrs | |||
![]() | 84 | D | 100.00 | 69 | 41 | 59 | 77 | 57 | 87 | 72 | 98 | 25 | 88 | 58 | 89 | 92 | 87 | 73 | 61 | 50 | 74 | 23 | 1,513,000$/4yrs | |||
![]() | 8 | D | 100.00 | 71 | 63 | 86 | 91 | 65 | 75 | 67 | 90 | 25 | 67 | 59 | 55 | 62 | 53 | 40 | 61 | 50 | 73 | 24 | 1,330,000$/2yrs | |||
![]() | 0 | D | 100.00 | 97 | 58 | 66 | 80 | 81 | 94 | 84 | 61 | 25 | 58 | 50 | 55 | 54 | 63 | 47 | 66 | 50 | 73 | 22 | 1,500,000$/4yrs | |||
![]() | 83 | D | 100.00 | 47 | 55 | 56 | 74 | 81 | 74 | 80 | 92 | 25 | 69 | 66 | 49 | 44 | 33 | 73 | 70 | 50 | 71 | 22 | 800,000$/2yrs | |||
![]() | 25 | D | 100.00 | 52 | 50 | 81 | 96 | 83 | 78 | 74 | 95 | 25 | 48 | 43 | 68 | 53 | 70 | 33 | 68 | 50 | 71 | 22 | 1,045,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 85 | C | 100.00 | 77 | 66 | 77 | 87 | 94 | 95 | 52 | 94 | 93 | 67 | 61 | 67 | 70 | 82 | 34 | 18 | 50 | 77 | 32 | 1,700,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 68 | 70 | 62 | 73 | 80 | 93 | 77 | 72 | 87 | 64 | 68 | 85 | 86 | 84 | 83 | 80 | 50 | 75 | 18 | 900,000$/3yrs | |||
![]() | 0 | C | 100.00 | 81 | 59 | 60 | 75 | 73 | 92 | 91 | 79 | 67 | 47 | 86 | 70 | 65 | 55 | 67 | 82 | 50 | 74 | 18 | 1,000,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 30 | 58 | 79 | 74 | 69 | 73 | 59 | 90 | 46 | 99 | 58 | 68 | 91 | 47 | 60 | 62 | 50 | 72 | 21 | 800,000$/3yrs | |||
![]() | 45 | LW | 100.00 | 75 | 49 | 83 | 96 | 81 | 97 | 51 | 90 | 72 | 48 | 64 | 47 | 55 | 58 | 79 | 65 | 50 | 71 | 23 | 700,000$/1yrs | |||
![]() | 41 | RW | 100.00 | 37 | 43 | 31 | 71 | 91 | 80 | 55 | 92 | 88 | 75 | 41 | 91 | 84 | 89 | 82 | 55 | 50 | 71 | 23 | 1,000,000$/3yrs | |||
![]() | 89 | LW | 100.00 | 83 | 40 | 43 | 57 | 91 | 86 | 88 | 96 | 58 | 51 | 53 | 49 | 51 | 39 | 59 | 55 | 50 | 69 | 24 | 700,000$/2yrs | |||
![]() | 20 | RW | 100.00 | 39 | 33 | 62 | 90 | 85 | 61 | 69 | 81 | 71 | 42 | 68 | 38 | 86 | 49 | 41 | 55 | 50 | 64 | 24 | 750,000$/3yrs | |||
![]() | 16 | C | 100.00 | 39 | 47 | 60 | 93 | 44 | 60 | 88 | 88 | 96 | 51 | 56 | 34 | 39 | 36 | 71 | 55 | 50 | 64 | 23 | 750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 61 | 65 | 67 | 87 | 66 | 82 | 66 | 77 | 79 | 86 | 87 | 56 | 84 | 72 | 73 | 67 | 50 | 76 | 18 | 900,000$/3yrs | |||
![]() | 39 | D | 100.00 | 70 | 42 | 58 | 91 | 31 | 98 | 92 | 69 | 25 | 71 | 60 | 77 | 67 | 88 | 56 | 62 | 50 | 70 | 23 | 1,000,000$/3yrs | |||
![]() | 4 | D | 100.00 | 80 | 61 | 63 | 95 | 51 | 72 | 77 | 88 | 25 | 38 | 45 | 65 | 48 | 35 | 50 | 55 | 50 | 66 | 25 | 700,000$/2yrs | |||
![]() | 36 | D | 100.00 | 42 | 56 | 74 | 85 | 80 | 59 | 76 | 80 | 25 | 30 | 36 | 62 | 77 | 57 | 62 | 61 | 50 | 63 | 23 | 700,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 32 | 100.00 | 80 | 64 | 94 | 68 | 99 | 79 | 81 | 65 | 71 | 50 | 90 | 84 | 29 | 66 | 50 | 75 | 23 | 1,400,000$/3yrs |
![]() | 47 | 100.00 | 79 | 57 | 70 | 84 | 58 | 82 | 79 | 74 | 80 | 82 | 84 | 79 | 60 | 70 | 50 | 74 | 20 | 1,000,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 31 | 100.00 | 63 | 57 | 97 | 81 | 58 | 58 | 65 | 95 | 88 | 86 | 82 | 60 | 34 | 36 | 50 | 75 | 28 | 700,000$/2yrs |
![]() | 34 | 100.00 | 94 | 50 | 91 | 99 | 71 | 50 | 48 | 80 | 74 | 92 | 77 | 94 | 53 | 56 | 50 | 75 | 24 | 900,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Rueben Maccorry | 54 | 98 | 67 | 65 | 41 | 79 | 86 | USA | 40 | 3 | 1,000,000$ |
General Manager | Kris Nissen |
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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 |
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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 | 5-6 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
---|---|---|---|---|---|---|---|---|---|---|---|
Austen Gowler ![]() | D | 22 | 1,045,000$ | 1,045,000$ | 1,045,000$ | 1,045,000$ | 1,045,000$ | ||||
Bartosch Gellert ![]() | C | 24 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Bjornar Brobakken ![]() | C | 23 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Blaine Wolff ![]() | RW | 24 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Dave Karrys ![]() | D | 25 | 700,000$ | 700,000$ | 700,000$ | ||||||
David Hutchings ![]() | LW | 23 | 700,000$ | 700,000$ | |||||||
Dicky Money ![]() | D | 24 | 1,330,000$ | 1,330,000$ | 1,330,000$ | ||||||
Dustin Tousignant ![]() | G | 28 | 700,000$ | 700,000$ | 700,000$ | ||||||
Elan Holman ![]() | D | 22 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Francois Prigione ![]() | D | 23 | 1,513,000$ | 1,513,000$ | 1,513,000$ | 1,513,000$ | 1,513,000$ | ||||
Geordie von Wilke ![]() | C | 18 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Helge Radstrom ![]() | RW | 22 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | 700,000$ | ||||
Jaryd Rooke ![]() | D | 18 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Jerri Viheriaranta ![]() | C | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||
John Sodke ![]() | D | 23 | 700,000$ | 700,000$ | 700,000$ | 700,000$ | |||||
Kyrre Sakariassen ![]() | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Ladzimir Lucanok ![]() | C | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Loughlin Dowe ![]() | RW | 24 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | |||
Oren Chumola ![]() | D | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Pelle Jonson ![]() | D | 22 | 1,225,000$ | 1,225,000$ | |||||||
Sargent Beasley ![]() | G | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Sebastian Rehn ![]() | LW | 18 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Semyon Pashkov ![]() | LW | 24 | 700,000$ | 700,000$ | 700,000$ | ||||||
Soren Wanchuk ![]() | RW | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Stan Krowina ![]() | G | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Tord Tourula ![]() | G | 23 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | |||||
Torrey Birdsell ![]() | C | 32 | 1,700,000$ | 1,700,000$ | 1,700,000$ | ||||||
Trent Cully ![]() | LW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Wyatt Baslyk ![]() | RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
York Kiki ![]() | LW | 26 | 700,000$ | 700,000$ | |||||||
Zayden Rankine ![]() | LW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ |
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 |
3,056,300$ | 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 |
3,056,300$ | 3,056,300$ | 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 |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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