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Full Scoreboard »» |
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Full Scoreboard »» |
| Hartford Wolf Pack 0-0-0, 0pts · 12th in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wyatt Bongiovanni | 0 | C | 100.00 | 66 | 39 | 81 | 58 | 75 | 67 | 85 | 62 | 65 | 55 | 62 | 65 | 59 | 65 | 63 | 0 | 41 | 70 | 26 | 850,000$/2yrs | |||
Cedric Pare | 0 | C | 100.00 | 72 | 41 | 71 | 56 | 86 | 65 | 85 | 62 | 68 | 56 | 57 | 65 | 56 | 64 | 62 | 0 | 43 | 69 | 27 | 850,000$/1yrs | |||
Roman Ahcan | 0 | LW | 100.00 | 69 | 38 | 76 | 56 | 64 | 65 | 87 | 62 | 71 | 55 | 58 | 65 | 57 | 64 | 62 | 0 | 43 | 69 | 27 | 800,000$/2yrs | |||
Nolan Burke (R) | 0 | C | 100.00 | 64 | 39 | 83 | 65 | 74 | 69 | 60 | 62 | 67 | 54 | 58 | 61 | 64 | 58 | 56 | 0 | 43 | 69 | 23 | 800,000$/2yrs | |||
Berkly Catton (R) | 0 | C | 100.00 | 54 | 35 | 84 | 60 | 66 | 76 | 75 | 58 | 61 | 61 | 61 | 54 | 60 | 58 | 56 | 0 | 36 | 69 | 20 | 942,500$/3yrs | |||
Jake Schmaltz (R) | 0 | LW | 100.00 | 63 | 39 | 85 | 58 | 76 | 65 | 71 | 60 | 46 | 57 | 58 | 63 | 58 | 61 | 59 | 0 | 16 | 69 | 25 | 800,000$/2yrs | |||
David Gustafsson | 19 | C | 100.00 | 62 | 40 | 93 | 55 | 84 | 70 | 71 | 56 | 77 | 59 | 57 | 56 | 56 | 68 | 67 | 0 | 46 | 68 | 26 | 800,000$/1yrs | |||
Anthony Vincent | 0 | LW/RW | 100.00 | 79 | 40 | 59 | 53 | 68 | 64 | 88 | 64 | 43 | 53 | 54 | 68 | 54 | 68 | 64 | 0 | 43 | 68 | 28 | 800,000$/2yrs | |||
Matthew Maggio (R) | 0 | RW | 100.00 | 64 | 38 | 84 | 58 | 71 | 64 | 86 | 59 | 45 | 59 | 54 | 62 | 57 | 59 | 58 | 0 | 33 | 68 | 23 | 870,000$/1yrs | |||
Ryder Rolston (R) | 0 | C | 100.00 | 59 | 38 | 92 | 58 | 76 | 65 | 86 | 60 | 63 | 57 | 57 | 63 | 57 | 61 | 60 | 0 | 25 | 68 | 24 | 895,000$/1yrs | |||
Ben King (R) | 0 | C | 100.00 | 71 | 41 | 72 | 57 | 81 | 64 | 81 | 59 | 63 | 56 | 56 | 62 | 56 | 59 | 56 | 0 | 38 | 68 | 24 | 800,000$/1yrs | |||
Nathan Burke | 0 | LW/RW | 100.00 | 70 | 40 | 75 | 51 | 76 | 62 | 67 | 63 | 41 | 49 | 54 | 67 | 52 | 66 | 64 | 0 | 40 | 67 | 27 | 800,000$/1yrs | |||
Jayden Grubbe (R) | 0 | C | 100.00 | 69 | 40 | 76 | 55 | 82 | 62 | 80 | 58 | 66 | 56 | 51 | 62 | 53 | 57 | 55 | 0 | 17 | 66 | 23 | 867,500$/1yrs | |||
Matt Hellickson | 0 | D | 100.00 | 74 | 39 | 77 | 58 | 72 | 67 | 60 | 57 | 30 | 54 | 47 | 66 | 59 | 66 | 69 | 0 | 44 | 69 | 28 | 800,000$/2yrs | |||
Bode Wilde | 52 | D | 100.00 | 56 | 38 | 92 | 60 | 79 | 66 | 60 | 57 | 30 | 54 | 46 | 64 | 58 | 61 | 60 | 0 | 46 | 68 | 26 | 800,000$/2yrs | |||
Kevin Korchinski | 0 | D | 100.00 | 56 | 32 | 85 | 55 | 74 | 81 | 70 | 50 | 30 | 58 | 55 | 54 | 53 | 60 | 59 | 0 | 47 | 67 | 21 | 918,333$/1yrs | |||
David Gucciardi | 0 | D | 100.00 | 83 | 42 | 53 | 51 | 79 | 64 | 70 | 50 | 30 | 57 | 53 | 63 | 55 | 59 | 54 | 0 | 48 | 67 | 23 | 855,000$/2yrs | |||
Damien Carfagna | 0 | D | 100.00 | 61 | 38 | 90 | 51 | 72 | 63 | 70 | 50 | 30 | 57 | 53 | 63 | 55 | 59 | 58 | 0 | 32 | 67 | 23 | 862,500$/2yrs | |||
Joe Fleming | 0 | D | 100.00 | 99 | 45 | 50 | 48 | 86 | 61 | 78 | 47 | 30 | 54 | 51 | 62 | 52 | 57 | 52 | 0 | 23 | 65 | 22 | 836,666$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Milos Kelemen | 0 | LW/RW | 100.00 | 82 | 43 | 55 | 57 | 86 | 67 | 68 | 64 | 37 | 57 | 58 | 67 | 58 | 68 | 64 | 0 | 20 | 71 | 26 | 900,000$/1yrs | |||
Dominik Bokk | 26 | LW/RW | 100.00 | 61 | 38 | 89 | 64 | 73 | 63 | 60 | 61 | 65 | 57 | 56 | 62 | 64 | 61 | 60 | 0 | 20 | 69 | 26 | ||||
Shane Lachance (R) | 0 | LW | 100.00 | 60 | 39 | 91 | 57 | 80 | 63 | 71 | 58 | 41 | 57 | 53 | 61 | 55 | 57 | 56 | 0 | 20 | 67 | 22 | ||||
Bobby Trivigno | 0 | LW | 100.00 | 66 | 38 | 81 | 52 | 60 | 62 | 84 | 62 | 36 | 54 | 50 | 66 | 52 | 64 | 62 | 0 | 20 | 66 | 27 | 775,000$/1yrs | |||
Mitchell Russell | 0 | C/RW | 100.00 | 55 | 38 | 99 | 53 | 75 | 61 | 65 | 61 | 72 | 45 | 58 | 64 | 52 | 61 | 61 | 0 | 20 | 66 | 25 | 800,000$/2yrs | |||
Ville Petman | 0 | C/LW | 100.00 | 61 | 38 | 88 | 52 | 69 | 61 | 87 | 62 | 73 | 52 | 50 | 65 | 51 | 62 | 61 | 0 | 20 | 66 | 26 | 850,000$/2yrs | |||
Eetu Liukas (R) | 0 | LW | 100.00 | 68 | 40 | 77 | 55 | 79 | 62 | 82 | 59 | 39 | 54 | 54 | 62 | 54 | 59 | 57 | 0 | 32 | 66 | 23 | 867,500$/1yrs | |||
Max McCue (R) | 0 | LW | 100.00 | 99 | 45 | 50 | 54 | 73 | 61 | 78 | 59 | 35 | 54 | 51 | 62 | 53 | 57 | 52 | 0 | 27 | 66 | 23 | 800,000$/2yrs | |||
Tyson Jugnauth (R) | 0 | D | 100.00 | 69 | 39 | 76 | 62 | 72 | 68 | 71 | 58 | 30 | 69 | 55 | 61 | 62 | 56 | 53 | 0 | 20 | 73 | 22 | ||||
Theo Lindstein (R) | 0 | D | 100.00 | 61 | 32 | 87 | 62 | 72 | 81 | 68 | 52 | 30 | 59 | 63 | 58 | 58 | 60 | 58 | 0 | 15 | 70 | 21 | ||||
Ryan Merkley (R) | 0 | D | 100.00 | 77 | 41 | 63 | 50 | 73 | 61 | 75 | 47 | 30 | 55 | 47 | 65 | 51 | 62 | 59 | 0 | 20 | 66 | 25 | 900,000$/2yrs | |||
Calle Sjalin | 0 | D | 100.00 | 65 | 39 | 82 | 44 | 72 | 60 | 77 | 44 | 30 | 49 | 49 | 66 | 49 | 64 | 62 | 0 | 20 | 63 | 26 | 800,000$/2yrs | |||
Zach Uens (R) | 0 | D | 100.00 | 76 | 40 | 64 | 44 | 72 | 58 | 69 | 43 | 30 | 49 | 47 | 64 | 48 | 61 | 57 | 0 | 22 | 62 | 25 | 800,000$/2yrs | |||
Kim Nousiainen (R) | 0 | D | 100.00 | 62 | 38 | 88 | 45 | 66 | 59 | 81 | 44 | 30 | 50 | 46 | 65 | 48 | 62 | 61 | 0 | 20 | 62 | 25 | 850,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jiri Patera | 0 | 100.00 | 69 | 62 | 68 | 83 | 64 | 76 | 70 | 69 | 76 | 75 | 72 | 65 | 64 | 0 | 25 | 75 | 27 | 1,000,000$/1yrs |
Gabriel Carriere | 0 | 100.00 | 68 | 70 | 67 | 75 | 69 | 75 | 68 | 68 | 75 | 75 | 70 | 63 | 63 | 0 | 42 | 74 | 25 | 795,000$/1yrs |
| Scratches | ||||||||||||||||||||
Nolan Lalonde | 0 | 100.00 | 71 | 80 | 66 | 74 | 65 | 69 | 69 | 71 | 69 | 71 | 70 | 55 | 56 | 0 | 31 | 73 | 22 | 800,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jessica Campbell | 65 | 68 | 75 | 70 | 53 | 48 | 84 | CAN | 33 | 4 | 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|
| 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 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Anthony Vincent | LW/RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Ben King | C | 24 | 800,000$ | 800,000$ | |||||||
| Berkly Catton | C | 20 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Bobby Trivigno | LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
| Bode Wilde | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Calle Sjalin | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Cedric Pare | C | 27 | 850,000$ | 850,000$ | UFA | ||||||
| Damien Carfagna | D | 23 | 862,500$ | 862,500$ | 862,500$ | ||||||
| David Gucciardi | D | 23 | 855,000$ | 855,000$ | 855,000$ | ||||||
| David Gustafsson | C | 26 | 800,000$ | 800,000$ | |||||||
| Dominik Bokk | LW/RW | 26 | 0$ | ||||||||
| Eetu Liukas | LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
| Gabriel Carriere | G | 25 | 795,000$ | 795,000$ | |||||||
| Jake Schmaltz | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Jayden Grubbe | C | 23 | 867,500$ | 867,500$ | RFA | ||||||
| Jiri Patera | G | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Joe Fleming | D | 22 | 836,666$ | 836,666$ | RFA | ||||||
| Kevin Korchinski | D | 21 | 918,333$ | 918,333$ | RFA | ||||||
| Kim Nousiainen | D | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Matt Hellickson | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Matthew Maggio | RW | 23 | 870,000$ | 870,000$ | RFA | ||||||
| Max McCue | LW | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Milos Kelemen | LW/RW | 26 | 900,000$ | 900,000$ | |||||||
| Mitchell Russell | C/RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Nathan Burke | LW/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Nolan Burke | C | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Nolan Lalonde | G | 22 | 800,000$ | 800,000$ | RFA | ||||||
| Roman Ahcan | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Ryan Merkley | D | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Ryder Rolston | C | 24 | 895,000$ | 895,000$ | |||||||
| Shane Lachance | LW | 22 | 0$ | RFA | |||||||
| Theo Lindstein | D | 21 | 0$ | RFA | |||||||
| Tyson Jugnauth | D | 22 | 0$ | RFA | |||||||
| Ville Petman | C/LW | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Wyatt Bongiovanni | C | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Zach Uens | D | 25 | 800,000$ | 800,000$ | 800,000$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | nan% | nan% | nan% | nan | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | NAN |
| Neutral Zone | NAN |
| Defensive Zone | NAN |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | NAN |
| Without Puck | NAN |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | nan | 9.57 |
| 2nd Period | nan | 20.31 |
| 3rd Period | nan | 30.68 |
| Overtime | nan | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | nan | 0.64 |
| 2nd Period | nan | 1.65 |
| 3rd Period | nan | 2.67 |
| Overtime | nan | 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 | nan |
| Shots Against | nan |
| Goals For | nan |
| Goals Against | nan |
| Hits | nan |
| Shots Blocked | nan |
| Pim | nan |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,181,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Hartford | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| 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 |
| 36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,181,000$ | 2,181,000$ | 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$ | 8 | 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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