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Los Angeles Kings 0-0-0, 0pts · 8th in Western Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 1 | LW/RW | 100.00 | 70 | 42 | 85 | 83 | 64 | 89 | 90 | 81 | 59 | 79 | 77 | 65 | 80 | 71 | 73 | 64 | 75 | 0 | 26 | 7,875,000$/3yrs | |||
![]() | 91 | LW/RW | 100.00 | 73 | 38 | 89 | 84 | 90 | 87 | 88 | 79 | 58 | 74 | 85 | 78 | 81 | 83 | 78 | 49 | 75 | 0 | 33 | 7,250,000$/1yrs | |||
![]() | 84 | C | 100.00 | 70 | 38 | 84 | 75 | 78 | 89 | 90 | 73 | 84 | 77 | 70 | 83 | 71 | 78 | 75 | 62 | 75 | 0 | 31 | 5,800,000$/3yrs | |||
![]() | 37 | C/LW/RW | 100.00 | 64 | 37 | 87 | 75 | 72 | 90 | 89 | 73 | 77 | 79 | 71 | 87 | 70 | 72 | 71 | 62 | 75 | 0 | 29 | 5,300,000$/4yrs | |||
![]() | 99 | C | 100.00 | 60 | 36 | 95 | 87 | 66 | 92 | 90 | 86 | 78 | 82 | 91 | 66 | 88 | 73 | 78 | 53 | 75 | 0 | 28 | ||||
![]() | 82 | C/LW | 100.00 | 84 | 37 | 93 | 66 | 72 | 83 | 85 | 63 | 84 | 60 | 64 | 91 | 63 | 76 | 75 | 26 | 75 | 0 | 32 | ||||
![]() | 92 | C/LW/RW | 100.00 | 64 | 34 | 95 | 77 | 68 | 88 | 85 | 76 | 63 | 80 | 73 | 75 | 74 | 83 | 78 | 30 | 75 | 0 | 34 | 3,410,000$/1yrs | |||
![]() | 75 | RW | 100.00 | 81 | 40 | 92 | 64 | 93 | 82 | 85 | 63 | 65 | 61 | 66 | 64 | 63 | 67 | 68 | 42 | 75 | 0 | 26 | ||||
![]() | 0 | C/LW | 100.00 | 67 | 40 | 89 | 66 | 72 | 77 | 81 | 63 | 83 | 60 | 58 | 86 | 61 | 83 | 79 | 17 | 75 | 0 | 39 | ||||
![]() | 85 | C | 100.00 | 64 | 44 | 60 | 56 | 73 | 76 | 81 | 55 | 61 | 54 | 57 | 53 | 58 | 64 | 66 | 43 | 75 | 0 | 24 | ||||
![]() | 86 | LW/RW | 100.00 | 70 | 40 | 71 | 83 | 69 | 90 | 86 | 77 | 56 | 79 | 85 | 87 | 82 | 72 | 74 | 69 | 75 | 0 | 27 | 5,500,000$/1yrs | |||
![]() | 99 | LW/RW | 100.00 | 73 | 71 | 66 | 85 | 84 | 90 | 89 | 87 | 58 | 91 | 82 | 67 | 83 | 72 | 76 | 74 | 75 | 0 | 26 | 8,000,000$/1yrs | |||
![]() | 2 | D | 100.00 | 71 | 37 | 87 | 64 | 83 | 88 | 90 | 63 | 30 | 68 | 56 | 79 | 49 | 90 | 77 | 40 | 75 | 0 | 37 | ||||
![]() | 98 | D | 100.00 | 75 | 35 | 87 | 68 | 76 | 93 | 88 | 64 | 30 | 71 | 58 | 90 | 51 | 68 | 66 | 69 | 75 | 0 | 25 | 3,250,000$/2yrs | |||
![]() | 96 | D | 100.00 | 68 | 34 | 93 | 72 | 69 | 90 | 67 | 69 | 30 | 71 | 62 | 63 | 54 | 62 | 66 | 88 | 75 | 0 | 22 | 2,300,000$/2yrs | |||
![]() | 59 | D | 100.00 | 78 | 76 | 78 | 65 | 88 | 91 | 89 | 64 | 30 | 72 | 61 | 84 | 52 | 79 | 74 | 35 | 75 | 0 | 33 | 5,400,000$/2yrs | |||
![]() | 88 | D | 100.00 | 76 | 49 | 83 | 67 | 93 | 90 | 89 | 62 | 30 | 70 | 58 | 93 | 50 | 73 | 69 | 63 | 75 | 0 | 27 | 4,100,000$/3yrs | |||
![]() | 87 | D | 100.00 | 81 | 72 | 78 | 66 | 84 | 87 | 90 | 62 | 30 | 74 | 56 | 77 | 50 | 69 | 71 | 52 | 75 | 0 | 27 | ||||
Scratches | ||||||||||||||||||||||||||
![]() | 90 | LW | 100.00 | 70 | 65 | 51 | 58 | 68 | 67 | 72 | 57 | 61 | 56 | 55 | 53 | 54 | 71 | 73 | 34 | 75 | 0 | 30 | ||||
![]() | 83 | D | 100.00 | 62 | 39 | 90 | 72 | 97 | 94 | 89 | 68 | 30 | 79 | 61 | 77 | 53 | 62 | 68 | 92 | 75 | 0 | 21 | 8,350,000$/7yrs | |||
TEAM AVERAGE | 100.00 | 71 | 45 | 83 | 72 | 78 | 87 | 86 | 69 | 55 | 72 | 67 | 76 | 64 | 73 | 73 | 53 | 75 | 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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 93 | 100.00 | 83 | 84 | 79 | 83 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 74 | 86 | 52 | 75 | 0 | 32 | 5,600,000$/2yrs |
![]() | 97 | 100.00 | 78 | 85 | 81 | 95 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 64 | 71 | 74 | 75 | 0 | 23 | |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 70 | 71 | 67 | 81 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 67 | 75 | 62 | 75 | 0 | 26 | |
TEAM AVERAGE | 100.00 | 77 | 80 | 76 | 86 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 68 | 77 | 63 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 83 | 88 | 87 | 82 | 84 | 78 | 64 | CAN | 56 | 2 | 5,000,000$ |
General Manager | Félix Audy-Favreau |
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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 | MP | 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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Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 1,333,333$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 14 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex DeBrincat ![]() | LW/RW/G | 26 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | RFA | ||||
Ben Chiarot ![]() | D | 33 | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | |||||
Brandon Carlo | D | 27 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | |||||
Brayden Point ![]() | C | 28 | 0$ | RFA | |||||||
Brennan Saulnier ![]() | LW | 30 | 0$ | ||||||||
Chris Kreider ![]() | LW/RW/G | 33 | 7,250,000$ | 7,250,000$ | UFA | ||||||
Gustav Nyquist | C/LW/RW | 34 | 3,410,000$ | 3,410,000$ | UFA | ||||||
J.T. Compher ![]() | C/LW/RW/G | 29 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | |||
Jack Campbell ![]() | D/G | 32 | 5,600,000$ | 5,600,000$ | 5,600,000$ | RFA | |||||
Jack Johnson | D | 37 | 0$ | UFA | |||||||
Jack LaFontaine ![]() | RW/G | 26 | 0$ | RFA | |||||||
Jamie Drysdale | D | 22 | 2,300,000$ | 2,300,000$ | 2,300,000$ | ||||||
Justin Brazeau ![]() | RW | 26 | 0$ | RFA | |||||||
Mads Sogaard ![]() | RW/G | 23 | 0$ | RFA | |||||||
Mario Ferraro | D | 25 | 3,250,000$ | 3,250,000$ | 3,250,000$ | RFA | |||||
Matthew Tkachuk | LW/RW | 26 | 8,000,000$ | 8,000,000$ | RFA | ||||||
Noel Acciari ![]() | C/LW | 32 | 0$ | UFA | |||||||
Owen Power ![]() | D/G | 21 | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | |
Phillip Danault ![]() | C/G | 31 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | ||||
Pierre-Edouard Bellemare | C/LW | 39 | 0$ | UFA | |||||||
Shawn Element ![]() | C | 24 | 0$ | RFA | |||||||
Travis Konecny | LW/RW | 27 | 5,500,000$ | 5,500,000$ | RFA | ||||||
Will Borgen | D | 27 | 0$ | RFA |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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2nd 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 | |
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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 | |
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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 | |
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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 | 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 |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,901,667$ | 1,333,333$ | 0$ | 88,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Staples Center | |
City | Los Angeles | ||
Capacity | 18118 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2118 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
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$ | 18118 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,901,667$ | 72,901,667$ | 0$ | 1,333,333$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 165,632,427$ | 165,632,427$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
---|---|---|---|---|---|
Brody Lamb | 2021 | 110 | |||
Ethan Hay | 2023 | 176 | |||
Kristian Roykas Marthinsen | |||||
Lucas Wallmark | Link | ||||
Lukas Hes | 2023 | 186 | |||
Matt Copponi | 2023 | 192 | |||
Matthew Steinburg | 2019 | 80 | |||
Parker Bell | 2022 | 169 | ELC 2023-24 (slide) | Link | |
Simon Knak | 2021 | 193 | |||
Tyler Peddle | 2023 | 122 | |||
Victor Sjoholm | 2023 | 212 | |||
Zion Nybeck | 2020 | 32 | ELC 2022-23 (slide) | Link |
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