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Full Scoreboard »» |
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Full Scoreboard »» |
![]() | Utica Comets 0-0-0, 0pts · 15th in Conference 1 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Juuso Parssinen | 0 | C/LW/RW | 100.00 | 75 | 46 | 85 | 73 | 87 | 83 | 74 | 71 | 69 | 69 | 67 | 68 | 71 | 59 | 50 | 1 | 50 | 69 | 24 | 975,000$/1yrs | |||
Brett Berard | 0 | LW | 100.00 | 64 | 42 | 74 | 75 | 68 | 74 | 64 | 69 | 42 | 63 | 65 | 60 | 70 | 51 | 50 | 1 | 50 | 64 | 22 | 975,000$/2yrs | |||
Samuel Helenius | 0 | C | 100.00 | 79 | 61 | 72 | 69 | 82 | 70 | 66 | 65 | 61 | 60 | 60 | 65 | 65 | 52 | 50 | 1 | 50 | 64 | 22 | 975,000$/1yrs | |||
Ryan Winterton | 0 | C/RW | 100.00 | 65 | 42 | 71 | 71 | 63 | 62 | 59 | 64 | 44 | 60 | 61 | 64 | 65 | 50 | 50 | 1 | 50 | 61 | 21 | 975,000$/2yrs | |||
Samuel Fagemo | 0 | LW/RW | 100.00 | 58 | 42 | 69 | 67 | 64 | 66 | 64 | 67 | 45 | 60 | 66 | 54 | 67 | 53 | 50 | 1 | 50 | 61 | 25 | 1,575,000$/1yrs | |||
Fabian Lysell | 0 | RW | 100.00 | 61 | 43 | 66 | 71 | 61 | 62 | 60 | 64 | 44 | 64 | 57 | 62 | 64 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/1yrs | |||
Rory Kerins | 0 | C | 100.00 | 61 | 41 | 73 | 70 | 63 | 64 | 62 | 64 | 62 | 62 | 62 | 60 | 65 | 51 | 50 | 1 | 50 | 61 | 23 | 975,000$/1yrs | |||
Justin Hryckowian | 0 | C | 100.00 | 61 | 42 | 69 | 69 | 62 | 64 | 62 | 62 | 43 | 61 | 59 | 62 | 63 | 52 | 50 | 1 | 50 | 60 | 24 | 1,100,000$/2yrs | |||
Justin Sourdif | 0 | RW | 100.00 | 57 | 46 | 63 | 69 | 59 | 64 | 62 | 64 | 43 | 62 | 58 | 58 | 64 | 51 | 50 | 1 | 50 | 60 | 23 | 975,000$/1yrs | |||
Adam Beckman | 0 | LW/RW | 100.00 | 58 | 42 | 71 | 64 | 64 | 65 | 63 | 64 | 44 | 61 | 60 | 53 | 63 | 52 | 50 | 1 | 50 | 59 | 24 | 1,200,000$/1yrs | |||
Wilmer Skoog | 0 | C | 100.00 | 60 | 45 | 66 | 62 | 65 | 67 | 65 | 63 | 43 | 58 | 57 | 55 | 60 | 52 | 50 | 1 | 50 | 59 | 25 | 1,000,000$/1yrs | |||
Tyler Tucker | 0 | D | 100.00 | 72 | 77 | 58 | 75 | 83 | 83 | 69 | 69 | 40 | 63 | 64 | 72 | 69 | 59 | 50 | 1 | 50 | 69 | 25 | 1,500,000$/2yrs | |||
Ryan Johnson | 0 | D | 100.00 | 62 | 43 | 71 | 68 | 70 | 70 | 63 | 65 | 40 | 60 | 56 | 68 | 63 | 52 | 50 | 1 | 50 | 63 | 23 | 975,000$/2yrs | |||
Kirill Kudryavtsev (R) | 0 | D | 100.00 | 64 | 41 | 67 | 64 | 62 | 61 | 60 | 61 | 40 | 61 | 56 | 66 | 61 | 50 | 50 | 1 | 50 | 61 | 21 | 825,000$/2yrs | |||
David Spacek | 0 | D | 100.00 | 55 | 42 | 70 | 67 | 61 | 65 | 63 | 64 | 40 | 61 | 55 | 59 | 62 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/2yrs | |||
Vsevolod Komarov (R) | 0 | D | 100.00 | 64 | 48 | 57 | 62 | 65 | 61 | 60 | 62 | 40 | 59 | 55 | 64 | 60 | 50 | 50 | 1 | 50 | 60 | 21 | 835,000$/2yrs | |||
Elias Salomonsson (R) | 0 | D | 100.00 | 60 | 41 | 67 | 62 | 62 | 58 | 56 | 61 | 40 | 61 | 56 | 63 | 60 | 50 | 50 | 1 | 50 | 59 | 20 | 815,000$/2yrs | |||
Roman Schmidt (R) | 0 | D | 100.00 | 64 | 47 | 58 | 62 | 67 | 61 | 60 | 58 | 40 | 54 | 55 | 64 | 58 | 50 | 50 | 1 | 50 | 59 | 22 | 805,833$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Judd Caulfield | 0 | RW | 100.00 | 64 | 43 | 68 | 62 | 68 | 65 | 63 | 62 | 43 | 59 | 56 | 60 | 60 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/2yrs | |||
Riley Fiddler-Schultz | 0 | C | 100.00 | 62 | 41 | 68 | 64 | 65 | 62 | 60 | 59 | 55 | 56 | 56 | 57 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 1,000,000$/2yrs | |||
Zayde Wisdom | 0 | RW | 100.00 | 63 | 43 | 68 | 64 | 64 | 64 | 62 | 60 | 57 | 57 | 55 | 58 | 60 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
Oskar Pettersson | 0 | RW | 100.00 | 63 | 41 | 71 | 62 | 66 | 61 | 58 | 59 | 41 | 53 | 54 | 55 | 59 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/2yrs | |||
Riley Duran | 0 | C | 100.00 | 61 | 41 | 72 | 64 | 63 | 63 | 61 | 59 | 41 | 52 | 55 | 58 | 59 | 51 | 50 | 1 | 50 | 57 | 23 | 1,000,000$/1yrs | |||
David Goyette (R) | 0 | C | 100.00 | 59 | 41 | 67 | 62 | 58 | 61 | 59 | 58 | 41 | 57 | 55 | 59 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 891,667$/2yrs | |||
Tyler Kopff | 0 | LW | 100.00 | 62 | 40 | 66 | 58 | 65 | 58 | 57 | 55 | 40 | 54 | 53 | 57 | 55 | 50 | 50 | 1 | 50 | 56 | 22 | 1,000,000$/2yrs | |||
Jakub Stancl (R) | 0 | C | 100.00 | 61 | 40 | 66 | 58 | 64 | 55 | 53 | 55 | 40 | 54 | 53 | 54 | 55 | 50 | 50 | 1 | 50 | 55 | 20 | 866,667$/2yrs | |||
Jack Peart (R) | 0 | D | 100.00 | 60 | 42 | 64 | 62 | 62 | 61 | 60 | 58 | 40 | 54 | 54 | 61 | 58 | 50 | 50 | 1 | 50 | 58 | 22 | 925,000$/2yrs | |||
Joni Jurmo (R) | 0 | D | 100.00 | 62 | 40 | 66 | 60 | 66 | 59 | 57 | 55 | 40 | 53 | 53 | 61 | 56 | 51 | 50 | 1 | 50 | 58 | 23 | 850,000$/1yrs | |||
Ty Gallagher (R) | 0 | D | 100.00 | 60 | 40 | 66 | 62 | 61 | 58 | 57 | 56 | 40 | 54 | 54 | 61 | 57 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/1yrs | |||
Lukas Cormier | 0 | D | 100.00 | 55 | 42 | 69 | 66 | 63 | 61 | 59 | 59 | 40 | 57 | 53 | 58 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/1yrs | |||
Jake Furlong (R) | 0 | D | 100.00 | 59 | 41 | 68 | 61 | 63 | 61 | 60 | 59 | 40 | 55 | 54 | 57 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 841,667$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trent Miner | 0 | 100.00 | 73 | 62 | 64 | 63 | 68 | 70 | 72 | 71 | 71 | 68 | 57 | 51 | 50 | 1 | 50 | 62 | 24 | 1,250,000$/1yrs |
Colten Ellis | 0 | 100.00 | 72 | 61 | 64 | 62 | 66 | 68 | 71 | 68 | 69 | 67 | 57 | 52 | 50 | 1 | 50 | 61 | 24 | 975,000$/2yrs |
| Scratches | ||||||||||||||||||||
Garin Bjorklund | 0 | 100.00 | 66 | 57 | 57 | 60 | 62 | 63 | 63 | 63 | 63 | 62 | 54 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/1yrs |
Ryan Fanti | 0 | 100.00 | 60 | 54 | 53 | 60 | 57 | 57 | 57 | 55 | 57 | 57 | 50 | 53 | 50 | 1 | 50 | 53 | 25 | 1,000,000$/1yrs |
Evan Gardner | 0 | 100.00 | 59 | 57 | 57 | 61 | 58 | 55 | 55 | 54 | 54 | 58 | 54 | 50 | 50 | 1 | 50 | 52 | 19 | 975,000$/3yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Benoit Groulx | 63 | 63 | 65 | 62 | 63 | 58 | 1 | CAN | 57 | 1 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Beckman | LW/RW | 24 | 1,200,000$ | 1,200,000$ | |||||||
| Brett Berard | LW | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Colten Ellis | G | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| David Goyette | C | 21 | 891,667$ | 975,000$ | 975,000$ | RFA | |||||
| David Spacek | D | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Elias Salomonsson | D | 20 | 815,000$ | 975,000$ | 975,000$ | RFA | |||||
| Evan Gardner | G | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Fabian Lysell | RW | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Garin Bjorklund | G | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Jack Peart | D | 22 | 925,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jake Furlong | D | 21 | 841,667$ | 975,000$ | 975,000$ | RFA | |||||
| Jakub Stancl | C | 20 | 866,667$ | 975,000$ | 975,000$ | RFA | |||||
| Joni Jurmo | D | 23 | 850,000$ | 975,000$ | |||||||
| Judd Caulfield | RW | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Justin Hryckowian | C | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
| Justin Sourdif | RW | 23 | 975,000$ | 975,000$ | |||||||
| Juuso Parssinen | C/LW/RW | 24 | 975,000$ | 975,000$ | |||||||
| Kirill Kudryavtsev | D | 21 | 825,000$ | 975,000$ | 975,000$ | RFA | |||||
| Lukas Cormier | D | 23 | 975,000$ | 975,000$ | |||||||
| Oskar Pettersson | RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Riley Duran | C | 23 | 1,000,000$ | 1,000,000$ | |||||||
| Riley Fiddler-Schultz | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Roman Schmidt | D | 22 | 805,833$ | 975,000$ | RFA | ||||||
| Rory Kerins | C | 23 | 975,000$ | 975,000$ | |||||||
| Ryan Fanti | G | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Ryan Johnson | D | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Ryan Winterton | C/RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Samuel Fagemo | LW/RW | 25 | 1,575,000$ | 1,575,000$ | |||||||
| Samuel Helenius | C | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Trent Miner | G | 24 | 1,250,000$ | 1,250,000$ | |||||||
| Ty Gallagher | D | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Tyler Kopff | LW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Tyler Tucker | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
| Vsevolod Komarov | D | 21 | 835,000$ | 975,000$ | 975,000$ | RFA | |||||
| Wilmer Skoog | C | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Zayde Wisdom | RW | 23 | 975,000$ | 975,000$ | RFA |
| Forward Lines | |||||||
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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 |
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| 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 |
| 3,697,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Utica | |
| 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 |
| 3,697,500$ | 3,697,500$ | 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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