| Manitoba Moose 0-0-0, 0pts · 6th in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fedor Svechkov | 0 | C | 100.00 | 72 | 40 | 79 | 66 | 73 | 72 | 69 | 65 | 73 | 62 | 61 | 65 | 66 | 63 | 61 | 0 | 40 | 73 | 23 | 1,300,000$/2yrs | |||
Rutger McGroarty (R) | 0 | C/LW/RW | 100.00 | 70 | 33 | 95 | 61 | 77 | 76 | 70 | 58 | 60 | 61 | 63 | 60 | 60 | 61 | 61 | 0 | 40 | 71 | 22 | 950,000$/1yrs | |||
Jack Becker | 0 | C | 100.00 | 70 | 40 | 81 | 57 | 86 | 69 | 89 | 56 | 70 | 59 | 59 | 71 | 59 | 73 | 71 | 0 | 40 | 71 | 29 | 800,000$/1yrs | |||
Charlie Cerrato (R) | 0 | C | 100.00 | 61 | 39 | 86 | 64 | 72 | 64 | 64 | 56 | 58 | 67 | 58 | 63 | 64 | 67 | 68 | 0 | 40 | 71 | 21 | 915,000$/2yrs | |||
Matthew Strome | 8 | LW | 100.00 | 73 | 40 | 78 | 57 | 84 | 68 | 85 | 56 | 44 | 59 | 58 | 68 | 59 | 70 | 68 | 0 | 40 | 70 | 27 | 800,000$/1yrs | |||
Marc Johnstone | 0 | RW | 100.00 | 78 | 40 | 72 | 55 | 71 | 69 | 84 | 55 | 39 | 58 | 57 | 73 | 58 | 75 | 72 | 0 | 40 | 70 | 30 | 800,000$/1yrs | |||
Ivan Miroshnichenko | 0 | LW | 100.00 | 74 | 32 | 97 | 61 | 74 | 71 | 70 | 55 | 55 | 60 | 60 | 61 | 58 | 62 | 61 | 0 | 40 | 70 | 22 | 925,000$/2yrs | |||
Jeff Malott | 0 | LW | 100.00 | 86 | 47 | 70 | 55 | 81 | 70 | 76 | 54 | 58 | 58 | 56 | 63 | 55 | 75 | 72 | 0 | 40 | 69 | 30 | 800,000$/1yrs | |||
Eduard Sale (R) | 0 | RW | 100.00 | 62 | 40 | 91 | 60 | 69 | 66 | 84 | 56 | 42 | 59 | 59 | 62 | 59 | 59 | 58 | 0 | 40 | 69 | 21 | 909,166$/2yrs | |||
Brayden Yager (R) | 0 | C/RW | 100.00 | 59 | 40 | 94 | 60 | 67 | 65 | 77 | 57 | 45 | 60 | 58 | 59 | 59 | 59 | 58 | 0 | 40 | 68 | 21 | 940,833$/2yrs | |||
Miko Matikka (R) | 0 | C/LW/RW | 100.00 | 62 | 40 | 90 | 55 | 75 | 63 | 79 | 52 | 42 | 55 | 54 | 62 | 55 | 63 | 62 | 0 | 40 | 66 | 22 | 945,000$/1yrs | |||
Jake Elmer | 37 | RW | 100.00 | 63 | 38 | 86 | 55 | 73 | 56 | 60 | 56 | 65 | 51 | 42 | 60 | 40 | 63 | 61 | 0 | 40 | 63 | 26 | 800,000$/1yrs | |||
Carter Yakemchuk (R) | 0 | D | 100.00 | 74 | 40 | 77 | 63 | 87 | 67 | 74 | 56 | 30 | 66 | 60 | 56 | 63 | 59 | 57 | 0 | 40 | 73 | 20 | 941,667$/3yrs | |||
Ben Dexheimer (R) | 0 | D | 100.00 | 66 | 36 | 95 | 63 | 66 | 61 | 71 | 52 | 30 | 60 | 55 | 68 | 63 | 72 | 72 | 0 | 40 | 72 | 24 | 980,000$/1yrs | |||
Philippe Myers | 0 | D | 100.00 | 77 | 37 | 83 | 55 | 91 | 80 | 77 | 51 | 30 | 56 | 54 | 70 | 53 | 74 | 72 | 0 | 40 | 71 | 29 | 850,000$/1yrs | |||
Luke Rowe | 0 | D | 100.00 | 89 | 39 | 58 | 52 | 79 | 67 | 84 | 56 | 30 | 57 | 53 | 73 | 55 | 72 | 68 | 0 | 40 | 71 | 28 | 800,000$/1yrs | |||
Abram Wiebe (R) | 0 | D | 100.00 | 66 | 35 | 97 | 61 | 71 | 61 | 71 | 51 | 30 | 61 | 53 | 68 | 62 | 70 | 70 | 0 | 40 | 71 | 23 | 950,000$/1yrs | |||
Dakota Mermis | 36 | D | 100.00 | 64 | 49 | 70 | 55 | 76 | 77 | 67 | 50 | 30 | 56 | 59 | 60 | 54 | 79 | 76 | 0 | 40 | 69 | 32 | 800,000$/1yrs | |||
Dylan McIlrath | 52 | D | 100.00 | 81 | 74 | 57 | 55 | 94 | 72 | 70 | 50 | 30 | 56 | 50 | 61 | 50 | 82 | 78 | 0 | 40 | 69 | 34 | 800,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Vasili Ponomaryov (R) | 0 | C | 100.00 | 77 | 40 | 73 | 63 | 70 | 71 | 75 | 62 | 71 | 65 | 63 | 66 | 64 | 65 | 62 | 0 | 40 | 73 | 24 | 800,000$/1yrs | |||
Nils Aman | 0 | C | 100.00 | 70 | 32 | 96 | 58 | 73 | 72 | 68 | 59 | 71 | 65 | 56 | 61 | 58 | 69 | 68 | 0 | 40 | 71 | 26 | 850,000$/2yrs | |||
Lucas Mercuri (R) | 0 | C | 100.00 | 99 | 41 | 50 | 58 | 88 | 68 | 78 | 57 | 74 | 57 | 60 | 68 | 59 | 65 | 60 | 0 | 40 | 71 | 24 | 896,250$/1yrs | |||
Justin Pearson | 0 | LW | 100.00 | 70 | 40 | 82 | 56 | 75 | 68 | 87 | 55 | 49 | 58 | 58 | 70 | 58 | 72 | 70 | 0 | 40 | 70 | 28 | 800,000$/1yrs | |||
Brendan Furry | 0 | LW | 100.00 | 67 | 40 | 85 | 56 | 80 | 68 | 86 | 57 | 47 | 57 | 60 | 69 | 59 | 72 | 71 | 0 | 40 | 70 | 28 | 800,000$/1yrs | |||
Joe Carroll | 0 | LW | 100.00 | 73 | 41 | 69 | 56 | 81 | 65 | 67 | 62 | 43 | 55 | 56 | 65 | 41 | 64 | 61 | 0 | 40 | 69 | 25 | 800,000$/1yrs | |||
Adam Novotny (R) | 0 | LW/RW | 100.00 | 61 | 39 | 86 | 61 | 80 | 65 | 56 | 58 | 45 | 57 | 61 | 59 | 59 | 54 | 53 | 0 | 40 | 68 | 18 | 1,075,000$/3yrs | |||
Vinzenz Rohrer (R) | 0 | C | 100.00 | 62 | 35 | 92 | 62 | 63 | 59 | 71 | 48 | 60 | 54 | 53 | 63 | 62 | 69 | 69 | 0 | 40 | 66 | 22 | 972,500$/2yrs | |||
Kirill Tyutyayev (R) | 0 | LW | 100.00 | 58 | 37 | 95 | 48 | 67 | 59 | 70 | 62 | 35 | 48 | 48 | 65 | 33 | 62 | 62 | 0 | 40 | 64 | 26 | 800,000$/1yrs | |||
Ville Heinola | 0 | D | 100.00 | 63 | 32 | 88 | 55 | 70 | 78 | 69 | 50 | 30 | 54 | 50 | 62 | 50 | 67 | 65 | 0 | 40 | 67 | 25 | 850,000$/2yrs | |||
Artur Cholach (R) | 0 | D | 100.00 | 66 | 40 | 86 | 54 | 80 | 61 | 68 | 52 | 30 | 56 | 50 | 60 | 53 | 62 | 61 | 0 | 40 | 67 | 23 | 800,000$/1yrs | |||
Dmitri Osipov | 0 | D | 100.00 | 81 | 43 | 56 | 25 | 93 | 62 | 81 | 65 | 35 | 17 | 18 | 69 | 36 | 70 | 65 | 0 | 40 | 52 | 29 | 800,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Damian Clara | 0 | 100.00 | 74 | 74 | 71 | 89 | 61 | 77 | 73 | 74 | 77 | 78 | 75 | 58 | 66 | 0 | 37 | 78 | 21 | 878,333$/1yrs |
Dryden McKay | 0 | 100.00 | 68 | 65 | 67 | 72 | 71 | 74 | 70 | 68 | 74 | 72 | 71 | 69 | 72 | 0 | 40 | 74 | 28 | 800,000$/1yrs |
| Scratches | ||||||||||||||||||||
Jordan Papirny | 0 | 100.00 | 64 | 58 | 65 | 74 | 66 | 72 | 68 | 64 | 72 | 69 | 68 | 74 | 72 | 0 | 40 | 72 | 30 | 800,000$/1yrs |
Jeremy Brodeur | 0 | 100.00 | 66 | 64 | 65 | 71 | 65 | 64 | 66 | 65 | 64 | 66 | 65 | 67 | 75 | 0 | 40 | 70 | 29 | 900,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Joel Bouchard | 66 | 67 | 68 | 60 | 69 | 69 | 64 | CAN | 52 | 3 | 500,000$ |
| 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Abram Wiebe | D | 23 | 950,000$ | 950,000$ | RFA | ||||||
| Adam Novotny | LW/RW | 18 | 1,075,000$ | 1,075,000$ | 1,075,000$ | 1,075,000$ | RFA | ||||
| Artur Cholach | D | 23 | 800,000$ | 800,000$ | RFA | ||||||
| Ben Dexheimer | D | 24 | 980,000$ | 980,000$ | |||||||
| Brayden Yager | C/RW | 21 | 940,833$ | 940,833$ | 940,833$ | RFA | |||||
| Brendan Furry | LW | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Carter Yakemchuk | D | 20 | 941,667$ | 941,667$ | 941,667$ | 941,667$ | RFA | ||||
| Charlie Cerrato | C | 21 | 915,000$ | 915,000$ | 915,000$ | RFA | |||||
| Dakota Mermis | D | 32 | 800,000$ | 800,000$ | UFA | ||||||
| Damian Clara | G | 21 | 878,333$ | 878,333$ | RFA | ||||||
| Dmitri Osipov | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
| Dryden McKay | G | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Dylan McIlrath | D | 34 | 800,000$ | 800,000$ | UFA | ||||||
| Eduard Sale | RW | 21 | 909,166$ | 909,166$ | 909,166$ | RFA | |||||
| Fedor Svechkov | C | 23 | 1,300,000$ | 1,300,000$ | 1,300,000$ | ||||||
| Ivan Miroshnichenko | LW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
| Jack Becker | C | 29 | 800,000$ | 800,000$ | UFA | ||||||
| Jake Elmer | RW | 26 | 800,000$ | 800,000$ | |||||||
| Jeff Malott | LW | 30 | 800,000$ | 800,000$ | UFA | ||||||
| Jeremy Brodeur | G | 29 | 900,000$ | 900,000$ | UFA | ||||||
| Joe Carroll | LW | 25 | 800,000$ | 800,000$ | |||||||
| Jordan Papirny | G | 30 | 800,000$ | 800,000$ | UFA | ||||||
| Justin Pearson | LW | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Kirill Tyutyayev | LW | 26 | 800,000$ | 800,000$ | |||||||
| Lucas Mercuri | C | 24 | 896,250$ | 896,250$ | |||||||
| Luke Rowe | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Marc Johnstone | RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
| Matthew Strome | LW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Miko Matikka | C/LW/RW | 22 | 945,000$ | 945,000$ | RFA | ||||||
| Nils Aman | C | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Philippe Myers | D | 29 | 850,000$ | 850,000$ | UFA | ||||||
| Rutger McGroarty | C/LW/RW | 22 | 950,000$ | 950,000$ | RFA | ||||||
| Vasili Ponomaryov | C | 24 | 800,000$ | 800,000$ | |||||||
| Ville Heinola | D | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Vinzenz Rohrer | C | 22 | 972,500$ | 972,500$ | 972,500$ | RFA |
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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 | nan% | nan% | nan% | nan | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | NAN |
| Neutral Zone | NAN |
| Defensive Zone | NAN |
| Puck Time | |
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| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | NAN |
| Without Puck | NAN |
| Faceoffs | |
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| 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 |
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| 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 |
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| PP Goal | 0 |
| PK Attempt | 0 |
| PK Goal Against | 0 |
| Home | |
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| Shots For | nan |
| Shots Against | nan |
| Goals For | nan |
| Goals Against | nan |
| Hits | nan |
| Shots Blocked | nan |
| Pim | nan |
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,897,875$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Manitoba | |
| 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 |
| 2,897,875$ | 2,897,875$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 17,425$ | 14,861$ | 14,861$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 184 | 17,425$ | 3,380,450$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,380,450$ | 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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