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Full Scoreboard »» |
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Full Scoreboard »» |
![]() | Texas Stars 0-0-0, 0pts · 14th in Conference 2 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jakub Lauko | 0 | C/LW/RW | 100.00 | 82 | 69 | 71 | 75 | 80 | 80 | 76 | 70 | 49 | 66 | 65 | 70 | 70 | 59 | 50 | 1 | 50 | 68 | 25 | 975,000$/1yrs | |||
Ethen Frank | 0 | C | 100.00 | 60 | 40 | 79 | 73 | 70 | 75 | 65 | 67 | 42 | 62 | 65 | 64 | 68 | 54 | 50 | 1 | 50 | 64 | 27 | 1,000,000$/2yrs | |||
Nikita Nesterenko | 0 | C/LW | 100.00 | 66 | 41 | 73 | 72 | 77 | 76 | 64 | 67 | 46 | 62 | 63 | 62 | 67 | 56 | 50 | 1 | 50 | 64 | 23 | 1,000,000$/2yrs | |||
Logan Morrison | 0 | C | 100.00 | 63 | 41 | 73 | 68 | 63 | 65 | 63 | 64 | 44 | 63 | 58 | 64 | 63 | 50 | 50 | 1 | 50 | 61 | 22 | 870,000$/1yrs | |||
MacKenzie Entwistle | 0 | C/RW | 100.00 | 69 | 50 | 65 | 67 | 71 | 70 | 68 | 61 | 52 | 57 | 57 | 61 | 62 | 65 | 52 | 1 | 50 | 61 | 25 | 1,750,000$/3yrs | |||
Joona Koppanen | 0 | LW | 100.00 | 62 | 42 | 72 | 62 | 66 | 68 | 67 | 60 | 53 | 60 | 54 | 60 | 59 | 55 | 50 | 1 | 50 | 59 | 27 | 1,000,000$/1yrs | |||
Dino Kambeitz | 0 | RW | 100.00 | 65 | 43 | 66 | 63 | 68 | 66 | 64 | 59 | 42 | 52 | 55 | 60 | 59 | 53 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/3yrs | |||
Marc McLaughlin | 0 | C/LW/RW | 100.00 | 62 | 42 | 70 | 62 | 65 | 66 | 64 | 60 | 49 | 58 | 53 | 58 | 58 | 53 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/3yrs | |||
Felix Unger Sörum | 0 | RW | 100.00 | 58 | 41 | 68 | 62 | 61 | 58 | 57 | 59 | 42 | 59 | 54 | 54 | 58 | 50 | 50 | 1 | 50 | 57 | 19 | 3,000,000$/4yrs | |||
Noah Philp | 0 | C | 100.00 | 59 | 41 | 64 | 60 | 60 | 62 | 60 | 59 | 56 | 56 | 56 | 58 | 58 | 52 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/2yrs | |||
Jimmy Huntington | 0 | C | 100.00 | 59 | 41 | 59 | 62 | 56 | 59 | 57 | 55 | 53 | 54 | 53 | 60 | 56 | 53 | 50 | 1 | 50 | 56 | 26 | 1,000,000$/3yrs | |||
Jack Malone | 0 | C/LW/RW | 100.00 | 59 | 40 | 68 | 60 | 62 | 63 | 62 | 58 | 41 | 54 | 55 | 54 | 58 | 51 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/3yrs | |||
Paul Ludwinski (R) | 0 | C | 100.00 | 59 | 41 | 66 | 61 | 61 | 61 | 60 | 58 | 41 | 54 | 55 | 54 | 58 | 50 | 50 | 1 | 50 | 56 | 21 | 900,000$/2yrs | |||
John Klingberg | 0 | D | 100.00 | 57 | 41 | 75 | 73 | 75 | 86 | 77 | 69 | 40 | 65 | 63 | 63 | 68 | 85 | 75 | 1 | 50 | 68 | 32 | 3,000,000$/2yrs | |||
Ryan Shea | 0 | D | 100.00 | 62 | 40 | 79 | 73 | 82 | 82 | 67 | 68 | 40 | 62 | 63 | 72 | 68 | 56 | 50 | 1 | 50 | 68 | 28 | 1,250,000$/1yrs | |||
Isaak Phillips | 0 | D | 100.00 | 64 | 47 | 64 | 68 | 72 | 71 | 65 | 64 | 40 | 60 | 57 | 65 | 63 | 59 | 50 | 1 | 50 | 63 | 23 | 975,000$/1yrs | |||
Jake Livingstone | 0 | D | 100.00 | 66 | 43 | 68 | 66 | 70 | 69 | 65 | 62 | 40 | 57 | 56 | 68 | 61 | 53 | 50 | 1 | 50 | 63 | 26 | 975,000$/1yrs | |||
Joe Hicketts | 0 | D | 100.00 | 54 | 43 | 67 | 70 | 56 | 69 | 68 | 63 | 40 | 63 | 54 | 68 | 62 | 59 | 54 | 1 | 50 | 62 | 29 | 1,500,000$/2yrs | |||
Cole Clayton | 0 | D | 100.00 | 63 | 44 | 67 | 65 | 65 | 66 | 64 | 61 | 40 | 59 | 53 | 66 | 60 | 53 | 50 | 1 | 50 | 61 | 25 | 950,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Rhett Pitlick (R) | 0 | C/LW/RW | 100.00 | 57 | 40 | 66 | 62 | 57 | 60 | 58 | 56 | 40 | 54 | 53 | 59 | 57 | 51 | 50 | 1 | 50 | 56 | 24 | 975,000$/1yrs | |||
Drew Callin | 0 | C/LW/RW | 100.00 | 55 | 42 | 70 | 58 | 65 | 71 | 69 | 59 | 41 | 52 | 53 | 51 | 56 | 63 | 53 | 1 | 50 | 56 | 30 | 1,000,000$/3yrs | |||
Dalton Bancroft | 0 | C/LW/RW | 100.00 | 60 | 40 | 66 | 58 | 62 | 60 | 58 | 55 | 40 | 53 | 54 | 55 | 56 | 51 | 50 | 1 | 50 | 55 | 24 | 1,000,000$/3yrs | |||
Philippe Daoust | 0 | C | 100.00 | 56 | 41 | 66 | 58 | 60 | 59 | 57 | 56 | 54 | 56 | 52 | 53 | 55 | 51 | 50 | 1 | 50 | 55 | 23 | 1,000,000$/3yrs | |||
Joel L'Esperance | 0 | RW | 100.00 | 54 | 41 | 60 | 55 | 58 | 61 | 60 | 57 | 43 | 53 | 54 | 51 | 55 | 58 | 50 | 1 | 50 | 54 | 29 | 2,000,000$/1yrs | |||
Austin Wagner | 0 | LW | 100.00 | 52 | 42 | 60 | 56 | 57 | 64 | 62 | 57 | 41 | 52 | 52 | 50 | 55 | 55 | 50 | 1 | 50 | 54 | 28 | 1,525,000$/2yrs | |||
Joseph Cecconi | 0 | D | 100.00 | 64 | 45 | 64 | 62 | 69 | 70 | 69 | 62 | 40 | 58 | 53 | 66 | 59 | 57 | 50 | 1 | 50 | 62 | 28 | 1,000,000$/1yrs | |||
Cameron Crotty | 0 | D | 100.00 | 59 | 44 | 66 | 65 | 65 | 67 | 66 | 61 | 40 | 55 | 51 | 62 | 59 | 54 | 50 | 1 | 50 | 60 | 26 | 950,000$/1yrs | |||
Luke Prokop | 0 | D | 100.00 | 67 | 40 | 69 | 60 | 73 | 61 | 58 | 56 | 40 | 52 | 52 | 64 | 56 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
Dennis Cesana | 0 | D | 100.00 | 56 | 40 | 71 | 65 | 61 | 64 | 62 | 55 | 40 | 52 | 50 | 61 | 57 | 55 | 50 | 1 | 50 | 58 | 27 | 1,000,000$/3yrs | |||
Tyler Inamoto | 0 | D | 100.00 | 60 | 40 | 66 | 64 | 64 | 62 | 60 | 53 | 40 | 51 | 50 | 63 | 56 | 54 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/2yrs | |||
Bryce Montgomery (R) | 0 | D | 100.00 | 63 | 40 | 62 | 58 | 67 | 58 | 57 | 54 | 40 | 53 | 53 | 61 | 55 | 50 | 50 | 1 | 50 | 57 | 22 | 854,910$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Kraws | 0 | 100.00 | 64 | 56 | 56 | 66 | 62 | 60 | 61 | 58 | 62 | 60 | 51 | 52 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/3yrs |
Brett Brochu | 0 | 100.00 | 63 | 56 | 56 | 60 | 60 | 58 | 58 | 56 | 59 | 59 | 51 | 50 | 50 | 1 | 50 | 54 | 22 | 1,000,000$/3yrs |
| Scratches | ||||||||||||||||||||
Ethan Langenegger | 0 | 100.00 | 61 | 57 | 57 | 62 | 59 | 57 | 56 | 54 | 57 | 59 | 54 | 51 | 50 | 1 | 50 | 53 | 24 | 1,000,000$/3yrs |
Dante Giannuzzi | 0 | 100.00 | 53 | 48 | 48 | 54 | 50 | 47 | 46 | 44 | 47 | 50 | 44 | 50 | 50 | 1 | 50 | 46 | 22 | 1,000,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dan Bylsma | 79 | 82 | 81 | 89 | 79 | 73 | 1 | USA | 54 | 3 | 500,000$ |
| General Manager |
|---|
| 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 | MP | 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 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Austin Wagner | LW | 28 | 1,525,000$ | 1,525,000$ | 1,525,000$ | UFA | |||||
| Ben Kraws | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Brett Brochu | G | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Bryce Montgomery | D | 22 | 854,910$ | 975,000$ | 975,000$ | ||||||
| Cameron Crotty | D | 26 | 950,000$ | 975,000$ | UFA | ||||||
| Cole Clayton | D | 25 | 950,000$ | 975,000$ | |||||||
| Dalton Bancroft | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Dante Giannuzzi | G | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Dennis Cesana | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Dino Kambeitz | RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Drew Callin | C/LW/RW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Ethan Langenegger | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Ethen Frank | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Felix Unger Sörum | RW | 19 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | RFA | |||
| Isaak Phillips | D | 23 | 975,000$ | 975,000$ | |||||||
| Jack Malone | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Jake Livingstone | D | 26 | 975,000$ | 975,000$ | UFA | ||||||
| Jakub Lauko | C/LW/RW | 25 | 975,000$ | 975,000$ | |||||||
| Jimmy Huntington | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Joe Hicketts | D | 29 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Joel L'Esperance | RW | 29 | 2,000,000$ | 2,000,000$ | UFA | ||||||
| John Klingberg | D | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
| Joona Koppanen | LW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Joseph Cecconi | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Logan Morrison | C | 22 | 870,000$ | 975,000$ | RFA | ||||||
| Luke Prokop | D | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| MacKenzie Entwistle | C/RW | 25 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
| Marc McLaughlin | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Nikita Nesterenko | C/LW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Noah Philp | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Paul Ludwinski | C | 21 | 900,000$ | 975,000$ | 975,000$ | RFA | |||||
| Philippe Daoust | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
| Rhett Pitlick | C/LW/RW | 24 | 975,000$ | 975,000$ | |||||||
| Ryan Shea | D | 28 | 1,250,000$ | 1,250,000$ | UFA | ||||||
| Tyler Inamoto | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA |
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| 1st Power Play Unit | |||||||
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| Goalies | |||||||
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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 |
| # | 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 |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,177,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Texas | |
| 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 |
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,177,500$ | 4,177,500$ | 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$ | 6 | 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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