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Full Scoreboard ยป |
Los Angeles Kings 0-0-0, 0pts · 3rd 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 | C/LW | 100.00 | 48 | 11 | 98 | 90 | 80 | 95 | 95 | 88 | 93 | 92 | 97 | 69 | 36 | 70 | 72 | 81 | 50 | 80 | 26 | 5,625,000$/1yrs | |||
![]() | 0 | C | 100.00 | 44 | 9 | 99 | 87 | 75 | 97 | 93 | 91 | 88 | 95 | 94 | 48 | 77 | 75 | 76 | 76 | 50 | 79 | 25 | 6,375,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 53 | 10 | 98 | 87 | 72 | 94 | 98 | 90 | 94 | 95 | 88 | 53 | 42 | 75 | 75 | 80 | 50 | 78 | 25 | 4,850,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 78 | 17 | 84 | 82 | 69 | 83 | 81 | 82 | 31 | 86 | 92 | 74 | 75 | 66 | 68 | 84 | 50 | 76 | 28 | 3,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 41 | 17 | 99 | 86 | 62 | 89 | 99 | 87 | 37 | 84 | 96 | 52 | 53 | 67 | 67 | 78 | 50 | 75 | 22 | 6,400,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 23 | 87 | 70 | 76 | 88 | 87 | 78 | 33 | 76 | 70 | 54 | 64 | 85 | 87 | 68 | 50 | 70 | 33 | 1,821,695$/2yrs | |||
![]() | 25 | C/LW | 100.00 | 69 | 45 | 68 | 77 | 77 | 89 | 86 | 61 | 83 | 72 | 64 | 73 | 25 | 73 | 75 | 72 | 52 | 69 | 32 | 2,600,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 46 | 8 | 99 | 86 | 71 | 79 | 59 | 77 | 32 | 63 | 83 | 47 | 25 | 68 | 69 | 71 | 50 | 67 | 27 | 995,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 21 | 99 | 80 | 78 | 83 | 89 | 59 | 36 | 61 | 55 | 81 | 59 | 74 | 74 | 62 | 50 | 67 | 26 | 685,000$/3yrs | |||
![]() | 17 | C | 100.00 | 63 | 36 | 79 | 75 | 76 | 88 | 69 | 68 | 97 | 52 | 55 | 73 | 53 | 84 | 89 | 67 | 50 | 66 | 35 | 685,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 15 | 95 | 77 | 75 | 80 | 81 | 66 | 37 | 59 | 70 | 70 | 25 | 57 | 57 | 72 | 50 | 66 | 28 | 1,600,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 46 | 7 | 99 | 79 | 62 | 78 | 77 | 77 | 52 | 57 | 77 | 36 | 75 | 61 | 61 | 69 | 50 | 64 | 24 | 969,000$/4yrs | |||
![]() | 0 | D | 100.00 | 52 | 12 | 85 | 90 | 74 | 99 | 96 | 81 | 25 | 75 | 60 | 91 | 63 | 71 | 74 | 75 | 50 | 77 | 30 | 9,059,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 16 | 89 | 82 | 76 | 99 | 99 | 81 | 25 | 70 | 60 | 82 | 25 | 73 | 74 | 74 | 50 | 76 | 32 | 1,870,000$/4yrs | |||
![]() | 0 | D | 100.00 | 50 | 13 | 89 | 89 | 78 | 99 | 80 | 76 | 25 | 65 | 49 | 84 | 61 | 75 | 78 | 66 | 50 | 74 | 28 | 6,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 13 | 92 | 88 | 73 | 99 | 98 | 80 | 25 | 62 | 48 | 78 | 63 | 74 | 78 | 66 | 50 | 74 | 29 | 5,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 50 | 8 | 97 | 90 | 68 | 99 | 90 | 86 | 25 | 79 | 62 | 76 | 25 | 70 | 71 | 68 | 50 | 74 | 28 | 4,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 14 | 81 | 81 | 73 | 99 | 72 | 73 | 25 | 72 | 51 | 75 | 25 | 79 | 83 | 68 | 50 | 72 | 34 | 1,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 58 | 13 | 89 | 78 | 70 | 88 | 88 | 60 | 96 | 59 | 78 | 70 | 25 | 79 | 82 | 78 | 50 | 69 | 35 | 1,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 56 | 13 | 97 | 85 | 76 | 82 | 90 | 72 | 36 | 79 | 59 | 41 | 61 | 75 | 77 | 69 | 50 | 67 | 30 | 1,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 69 | 55 | 69 | 79 | 83 | 80 | 60 | 25 | 53 | 51 | 85 | 25 | 65 | 66 | 63 | 50 | 70 | 31 | 685,000$/1yrs | |||
![]() | 0 | D | 100.00 | 42 | 8 | 99 | 83 | 71 | 86 | 76 | 81 | 25 | 67 | 59 | 77 | 25 | 62 | 62 | 60 | 50 | 69 | 25 | 1,500,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 57 | 18 | 90 | 82 | 73 | 90 | 86 | 76 | 48 | 72 | 69 | 68 | 46 | 72 | 73 | 71 | 50 | 72 |
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 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
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![]() | 0 | 100.00 | 87 | 89 | 99 | 82 | 89 | 94 | 81 | 95 | 98 | 86 | 95 | 68 | 69 | 80 | 50 | 84 | 26 | 9,500,000$/2yrs |
![]() | 0 | 100.00 | 83 | 63 | 77 | 63 | 74 | 85 | 93 | 89 | 90 | 84 | 78 | 60 | 60 | 68 | 50 | 76 | 25 | 1,875,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 85 | 76 | 88 | 73 | 82 | 90 | 87 | 92 | 94 | 85 | 87 | 64 | 65 | 74 | 50 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Craig Berube | 63 | 94 | 80 | 95 | 76 | 67 | 70 | CAN | 51 | 3 | 2,500,000$ |
General Manager | Chris Baker |
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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 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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1 | Zack Smith | 25 | C/LW | 1 | 0 | 1 | 1 | 2 | 2 | 0 | 2 | 1 | 1 | 2 | 0.00% | 0 | 12.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 1 | 0 | 0 | 1.57 | 0 | 0 | |
Team Total or Average | 1 | 0 | 1 | 1 | 2 | 2 | 0 | 2 | 1 | 1 | 2 | 0.00% | 0 | 12.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 1 | 0 | 0 | 1.57 | 0 | 0 |
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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team Total or Average | 0.000 | 0.00 | 0 | 0.000 |
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 | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
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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 | |
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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 | 81,586,361$ |
Projected Cap Space | 4,913,639$ |
Retains And Buyout Cap Hit | 3,491,666$ |
Salary Cap To Date | 538,584$ |
Players In Salary Cap | 23 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex DeBrincat | LW/RW | 22 | 6,400,000$ | 6,400,000$ | 6,400,000$ | ||||||
Andrei Vasilevskiy | D | 26 | 9,500,000$ | 9,500,000$ | 9,500,000$ | ||||||
Bobby Ryan ![]() | LW/RW | 33 | 1,821,695$ | 1,821,695$ | 1,821,695$ | ||||||
Brad Richardson ![]() | C/LW | 35 | 1,250,000$ | 1,250,000$ | |||||||
Bryan Rust ![]() | LW/RW | 28 | 3,500,000$ | 3,500,000$ | |||||||
Cam Fowler | D | 28 | 6,500,000$ | 6,500,000$ | 6,500,000$ | ||||||
Christian Wolanin ![]() | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Conor Garland ![]() | LW/RW | 24 | 969,000$ | 969,000$ | 969,000$ | 969,000$ | 969,000$ | ||||
Elias Lindholm | C/RW | 25 | 4,850,000$ | 4,850,000$ | 4,850,000$ | ||||||
Jeff Petry | D | 32 | 1,870,000$ | 1,870,000$ | 1,870,000$ | 1,870,000$ | 1,870,000$ | ||||
John Klingberg | D | 28 | 4,250,000$ | 4,250,000$ | |||||||
Juuse Saros ![]() | C | 25 | 1,875,000$ | 1,875,000$ | 1,875,000$ | 1,875,000$ | 1,875,000$ | ||||
Mark Borowiecki ![]() | D | 31 | 685,000$ | 685,000$ | |||||||
Mike Green ![]() | D | 34 | 1,000,000$ | 1,000,000$ | |||||||
Mikkel Boedker | LW/RW | 30 | 1,600,000$ | 1,600,000$ | |||||||
Nick Leddy | D | 29 | 5,500,000$ | 5,500,000$ | |||||||
Roman Josi | D | 30 | 9,059,000$ | 9,059,000$ | 9,059,000$ | ||||||
Ryan Kesler ![]() | C | 35 | 685,000$ | 685,000$ | |||||||
Sean Monahan | C | 25 | 6,375,000$ | 6,375,000$ | 6,375,000$ | ||||||
Sven Baertschi ![]() | LW | 27 | 995,000$ | 995,000$ | 995,000$ | ||||||
Tomas Hertl | C/LW | 26 | 5,625,000$ | 5,625,000$ | |||||||
Tyler Pitlick ![]() | C/RW | 28 | 1,600,000$ | 1,600,000$ | |||||||
Zack Smith ![]() | C/LW | 32 | 2,600,000$ | 2,600,000$ | |||||||
Zemgus Girgensons ![]() | LW/RW | 26 | 685,000$ | 685,000$ | 685,000$ | 685,000$ |
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Aatu Jamsen | 3 | 76 | |||
Alexander Gordin | 3 | 91 | |||
Brett Berard | 3 | 51 | |||
Donovan Sebrango | 2 | 65 | |||
Erik Endstrand | 3 | 57 | |||
Gunnarwolfe Fontaine | 3 | 75 | |||
Matthew Rempe | 3 | 81 | |||
Nils Aman | 3 | 82 | |||
Theo Rochette | 2 | 89 |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,094,695$ | 3,491,666$ | 81,586,361$ | 4,913,639$ |
Arena | Goal Horn | About us | |
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![]() | Name | Staples Center | |
City | Los Angeles | ||
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 |
78,094,695$ | 78,094,695$ | 0$ | 3,491,666$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
555,825$ | 78,094,695$ | 538,584$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 144 | 555,825$ | 80,038,800$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
84,263,520$ | 81,586,361$ | 244,767,463$ | 160,503,943$ |
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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4 | ||||
5 | ||||
6 | ||||
7 | ||||
8 |
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