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Full Scoreboard ยป |
Colorado Avalanche 0-0-0, 0pts · 2nd in Western Conference |
Priority | Type | Description |
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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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 64 | 18 | 71 | 92 | 84 | 95 | 95 | 99 | 35 | 99 | 98 | 49 | 75 | 65 | 66 | 80 | 50 | 81 | 23 | 9,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 54 | 14 | 88 | 83 | 81 | 99 | 99 | 84 | 96 | 85 | 80 | 74 | 72 | 80 | 84 | 81 | 50 | 78 | 32 | 10,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 53 | 10 | 91 | 87 | 76 | 89 | 94 | 88 | 64 | 79 | 81 | 55 | 60 | 75 | 77 | 71 | 50 | 75 | 26 | 3,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 78 | 25 | 82 | 82 | 77 | 77 | 86 | 80 | 55 | 84 | 90 | 63 | 54 | 77 | 79 | 81 | 50 | 75 | 31 | 7,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 18 | 70 | 87 | 74 | 95 | 85 | 76 | 25 | 80 | 85 | 60 | 25 | 59 | 59 | 68 | 50 | 73 | 20 | 3,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 41 | 9 | 93 | 93 | 66 | 93 | 99 | 95 | 37 | 85 | 77 | 26 | 25 | 66 | 66 | 70 | 50 | 72 | 22 | 7,150,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 60 | 12 | 89 | 82 | 81 | 89 | 90 | 82 | 54 | 82 | 83 | 35 | 45 | 76 | 78 | 71 | 50 | 72 | 27 | 5,250,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 63 | 34 | 52 | 81 | 72 | 82 | 86 | 63 | 46 | 77 | 66 | 68 | 75 | 71 | 72 | 72 | 50 | 69 | 30 | 3,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 15 | 82 | 85 | 77 | 79 | 98 | 74 | 74 | 68 | 71 | 58 | 41 | 60 | 61 | 67 | 50 | 69 | 23 | 2,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 22 | 94 | 82 | 80 | 88 | 97 | 70 | 30 | 65 | 70 | 55 | 63 | 69 | 69 | 67 | 50 | 68 | 27 | 2,750,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 50 | 39 | 94 | 76 | 77 | 75 | 85 | 74 | 64 | 57 | 80 | 56 | 79 | 41 | 41 | 92 | 50 | 65 | 19 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 46 | 76 | 73 | 75 | 92 | 77 | 65 | 81 | 59 | 64 | 42 | 61 | 69 | 70 | 62 | 50 | 63 | 25 | 685,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 26 | 96 | 89 | 90 | 99 | 98 | 68 | 25 | 58 | 56 | 88 | 45 | 71 | 72 | 64 | 50 | 77 | 27 | 5,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 16 | 73 | 79 | 79 | 99 | 80 | 86 | 25 | 70 | 59 | 83 | 51 | 81 | 85 | 76 | 50 | 76 | 34 | 685,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 25 | 87 | 84 | 75 | 99 | 99 | 66 | 25 | 66 | 48 | 80 | 25 | 70 | 72 | 66 | 50 | 74 | 29 | 5,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 13 | 86 | 88 | 66 | 99 | 78 | 77 | 25 | 61 | 49 | 86 | 75 | 66 | 68 | 68 | 50 | 73 | 29 | 2,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 70 | 25 | 85 | 78 | 74 | 99 | 91 | 62 | 25 | 55 | 49 | 81 | 53 | 80 | 86 | 68 | 50 | 73 | 33 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 36 | 67 | 74 | 76 | 74 | 93 | 63 | 25 | 67 | 48 | 74 | 50 | 44 | 44 | 91 | 50 | 66 | 20 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 46 | 30 | 90 | 75 | 66 | 76 | 92 | 67 | 59 | 52 | 69 | 53 | 74 | 63 | 63 | 62 | 54 | 63 | 27 | 685,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 10 | 95 | 78 | 70 | 79 | 80 | 68 | 33 | 71 | 58 | 34 | 25 | 62 | 63 | 63 | 54 | 62 | 26 | 685,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 53 | 38 | 78 | 72 | 71 | 72 | 89 | 61 | 63 | 57 | 59 | 54 | 63 | 64 | 64 | 69 | 54 | 61 | 26 | 685,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 18 | 82 | 75 | 67 | 77 | 69 | 69 | 39 | 57 | 60 | 36 | 75 | 59 | 59 | 61 | 54 | 60 | 26 | 685,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 68 | 12 | 94 | 68 | 68 | 64 | 88 | 59 | 57 | 60 | 69 | 37 | 25 | 59 | 59 | 64 | 54 | 60 | 24 | 685,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 57 | 42 | 78 | 73 | 75 | 88 | 82 | 50 | 48 | 54 | 61 | 52 | 51 | 48 | 48 | 55 | 54 | 59 | 22 | 685,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 49 | 50 | 73 | 81 | 73 | 61 | 51 | 25 | 44 | 46 | 73 | 25 | 61 | 61 | 51 | 54 | 64 | 26 | 685,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 62 | 24 | 82 | 80 | 75 | 86 | 88 | 72 | 45 | 68 | 67 | 59 | 52 | 65 | 67 | 70 | 51 | 69 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 80 | 85 | 98 | 80 | 84 | 82 | 81 | 80 | 79 | 80 | 76 | 79 | 84 | 56 | 50 | 79 | 34 | 685,000$/1yrs |
![]() | 0 | 100.00 | 76 | 86 | 73 | 70 | 72 | 75 | 82 | 87 | 78 | 71 | 72 | 45 | 45 | 87 | 50 | 72 | 21 | 825,833$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 78 | 86 | 86 | 75 | 78 | 79 | 82 | 84 | 79 | 76 | 74 | 62 | 65 | 72 | 50 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 99 | 85 | 93 | 80 | 88 | 88 | 77 | USA | 53 | 3 | 2,500,000$ |
General Manager | Patrick Padula |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 |
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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 |
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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 | |
---|---|
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 |
Projected Total Cap Hit | 77,775,833$ |
Projected Cap Space | 8,724,167$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 536,385$ |
Players In Salary Cap | 27 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2013-2014 | 2014-2015 | 2015-2016 | 2016-2017 | 2017-2018 | 2018-2019 | 2019-2020 | 2020-2021 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe ![]() | C | 23 | 2,000,000$ | 2,000,000$ | |||||||
Alex Galchenyuk ![]() | C/LW | 26 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Alexander Edler ![]() | D | 34 | 685,000$ | 685,000$ | |||||||
Andrei Svechnikov ![]() | LW/RW | 20 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||
Antoine Roussel ![]() | LW | 30 | 3,000,000$ | 3,000,000$ | |||||||
Anton Slepyshev ![]() | LW/RW | 26 | 685,000$ | 685,000$ | |||||||
Anze Kopitar | C | 32 | 10,000,000$ | 10,000,000$ | 10,000,000$ | ||||||
Boris Katchouk ![]() | LW | 22 | 685,000$ | 685,000$ | |||||||
Charles Hudon ![]() | LW/RW | 26 | 685,000$ | 685,000$ | |||||||
Clayton Keller ![]() | C/LW/RW | 22 | 7,150,000$ | 7,150,000$ | 7,150,000$ | ||||||
Colton Parayko | D | 27 | 5,500,000$ | 5,500,000$ | |||||||
Curtis Lazar ![]() | C/LW/RW | 25 | 685,000$ | 685,000$ | |||||||
Dmitry Orlov | D | 29 | 5,100,000$ | 5,100,000$ | 5,100,000$ | ||||||
Dominik Simon ![]() | LW/RW | 26 | 685,000$ | 685,000$ | |||||||
Jake Dotchin ![]() | D | 26 | 685,000$ | 685,000$ | |||||||
Jared McIsaac ![]() | D | 20 | 925,000$ | 925,000$ | |||||||
Jayce Hawryluk ![]() | C/RW | 24 | 685,000$ | 685,000$ | |||||||
Jimmy Vesey ![]() ![]() | LW/RW | 27 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Joakim Nygard ![]() | LW | 27 | 685,000$ | 685,000$ | |||||||
Jonathan Quick ![]() | LW/RW | 34 | 685,000$ | 685,000$ | |||||||
Kaapo Kakko ![]() | RW | 19 | 925,000$ | 925,000$ | |||||||
Kirill Ustimenko ![]() | C | 21 | 825,833$ | 825,833$ | |||||||
Matt Niskanen ![]() | D | 33 | 2,500,000$ | 2,500,000$ | |||||||
Max Pacioretty | LW | 31 | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||||
Mikko Rantanen | RW | 23 | 9,250,000$ | 9,250,000$ | 9,250,000$ | ||||||
Nino Niederreiter | LW/RW | 27 | 5,250,000$ | 5,250,000$ | |||||||
Sami Vatanen | D | 29 | 2,750,000$ | 2,750,000$ | 2,750,000$ |
Forward Lines | |||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Wilsby | 3 | 93 | |||
Brett Stapley | 1 | ||||
Jacob Truscott | 2 | 77 | |||
Jan Mysak | 3 | 21 | |||
Jaromir Pytlik | 3 | 61 | |||
Kasper Puutio | 3 | 69 | |||
Logan Barlage | 2 | 91 | |||
Noah Gunler | 3 | 13 | |||
Roni Hirvonen | 2 | 29 | |||
Veeti Miettinen | 2 | 53 | |||
Yaroslav Askarov | 2 | 6 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,775,833$ | 0$ | 77,775,833$ | 8,724,167$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Pepsi Center | |
City | Colorado | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
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$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,775,833$ | 77,775,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
553,626$ | 77,775,833$ | 536,385$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 144 | 553,626$ | 79,722,144$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
82,764,534$ | 77,775,833$ | 242,378,729$ | 159,614,195$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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