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Full Scoreboard »» |
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Full Scoreboard »» |
Los Angeles Kings 0-1-0, 0pts · 7th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 86 | C/LW | 99.00 | 54 | 32 | 91 | 88 | 68 | 91 | 84 | 79 | 74 | 85 | 82 | 62 | 81 | 66 | 65 | 0 | 64 | 88 | 23 | 8,000,000$/6yrs | |||
![]() | 11 | LW/RW | 100.00 | 70 | 35 | 74 | 80 | 67 | 90 | 90 | 76 | 60 | 79 | 78 | 70 | 77 | 73 | 70 | 0 | 80 | 86 | 28 | 5,500,000$/9yrs | |||
![]() | 14 | C | 100.00 | 80 | 33 | 77 | 75 | 83 | 90 | 84 | 75 | 89 | 73 | 78 | 80 | 76 | 73 | 71 | 0 | 80 | 85 | 28 | 5,250,000$/5yrs | |||
![]() | 13 | C/LW/RW | 99.00 | 72 | 32 | 93 | 77 | 67 | 88 | 89 | 76 | 72 | 75 | 81 | 75 | 79 | 64 | 64 | 0 | 80 | 85 | 23 | 6,250,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 71 | 35 | 68 | 73 | 66 | 87 | 89 | 72 | 60 | 74 | 77 | 70 | 74 | 88 | 93 | 0 | 44 | 84 | 36 | 6,125,000$/3yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 65 | 33 | 79 | 76 | 76 | 86 | 90 | 73 | 59 | 74 | 80 | 56 | 76 | 73 | 71 | 0 | 78 | 83 | 28 | 8,500,000$/8yrs | |||
![]() | 0 | LW | 100.00 | 81 | 37 | 79 | 71 | 94 | 85 | 90 | 68 | 59 | 72 | 70 | 63 | 69 | 60 | 58 | 0 | 80 | 79 | 21 | 950,000$/9yrs | |||
![]() | 15 | C/LW | 100.00 | 69 | 32 | 82 | 70 | 74 | 82 | 89 | 66 | 85 | 69 | 67 | 73 | 66 | 64 | 63 | 0 | 80 | 78 | 23 | 5,000,000$/6yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 33 | 88 | 63 | 76 | 81 | 90 | 64 | 61 | 66 | 67 | 72 | 65 | 80 | 79 | 0 | 40 | 77 | 32 | 2,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 41 | 84 | 56 | 74 | 79 | 88 | 59 | 58 | 61 | 62 | 86 | 61 | 81 | 80 | 0 | 80 | 76 | 33 | 3,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 39 | 71 | 63 | 72 | 82 | 88 | 65 | 77 | 65 | 66 | 71 | 65 | 63 | 60 | 0 | 80 | 76 | 22 | 863,333$/1yrs | |||
![]() | 0 | C | 100.00 | 74 | 37 | 86 | 56 | 86 | 74 | 85 | 55 | 81 | 57 | 59 | 75 | 57 | 65 | 63 | 0 | 73 | 71 | 24 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 35 | 84 | 76 | 79 | 97 | 86 | 71 | 30 | 83 | 72 | 71 | 72 | 85 | 97 | 0 | 80 | 89 | 34 | 9,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 65 | 37 | 89 | 72 | 86 | 94 | 89 | 66 | 30 | 79 | 61 | 65 | 63 | 78 | 76 | 0 | 83 | 83 | 31 | 7,500,000$/6yrs | |||
![]() | 5 | D | 100.00 | 75 | 36 | 67 | 69 | 87 | 93 | 82 | 67 | 30 | 73 | 58 | 77 | 63 | 74 | 71 | 0 | 80 | 82 | 29 | 7,500,000$/7yrs | |||
![]() | 0 | D | 99.00 | 71 | 35 | 81 | 65 | 87 | 92 | 87 | 65 | 30 | 73 | 65 | 75 | 65 | 84 | 82 | 0 | 34 | 82 | 34 | 6,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 36 | 85 | 56 | 99 | 88 | 90 | 62 | 30 | 61 | 55 | 85 | 59 | 80 | 78 | 0 | 80 | 77 | 32 | 3,475,000$/1yrs | |||
![]() | 0 | D | 99.00 | 70 | 35 | 81 | 55 | 79 | 82 | 82 | 54 | 30 | 58 | 54 | 71 | 54 | 83 | 81 | 0 | 80 | 73 | 34 | 1,100,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 63 | 50 | 73 | 58 | 84 | 77 | 86 | 63 | 60 | 61 | 70 | 54 | 67 | 93 | 90 | 0 | 29 | 75 | 39 | 1,275,000$/1yrs | |||
TEAM AVERAGE | 99.74 | 70 | 36 | 81 | 68 | 79 | 86 | 87 | 67 | 57 | 70 | 69 | 71 | 68 | 75 | 74 | 0 | 70 | 80 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 87 | 95 | 84 | 76 | 90 | 79 | 91 | 95 | 89 | 95 | 91 | 75 | 79 | 0 | 69 | 91 | 29 | 5,666,667$/9yrs |
![]() | 0 | 100.00 | 78 | 77 | 73 | 84 | 80 | 72 | 81 | 87 | 79 | 86 | 81 | 87 | 91 | 0 | 72 | 85 | 37 | 1,600,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 83 | 86 | 79 | 80 | 85 | 76 | 86 | 91 | 84 | 91 | 86 | 81 | 85 | 0 | 71 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 73 | 73 | 83 | 71 | 85 | 84 | 75 | CAN | 55 | 5 | 1,000,000$ |
General Manager | Yannick Vézina-Roy |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brad Marchand | 0 | LW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 0.00% | 0 | 16.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 1.20 | 0 | 0 | |
2 | Joel Eriksson Ek | 14 | C | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 0 | 6 | 33.33% | 0 | 17.57 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 60.87% | 23 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | |
3 | Roman Josi | 0 | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 0.00% | 1 | 17.12 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.17 | 0 | 0 | |
4 | Aaron Ekblad | 5 | D | 1 | 0 | 0 | 0 | -1 | 6 | 0 | 1 | 2 | 0 | 2 | 0.00% | 0 | 21.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
5 | Brandon Tanev | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 3 | 0.00% | 0 | 11.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
6 | Jack Hughes | 86 | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 2 | 0.00% | 0 | 20.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.58% | 33 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
7 | Jamie Oleksiak | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 0.00% | 0 | 17.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
8 | Jordan Martinook | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 11.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
9 | Kevin Fiala | 0 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 0 | 0.00% | 0 | 19.43 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
10 | Mattias Ekholm | 0 | D | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 3 | 2 | 0 | 0 | 0.00% | 2 | 23.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
11 | Morgan Rielly | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 2 | 0.00% | 1 | 20.18 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
12 | Travis Hamonic | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 0 | 0 | 0.00% | 1 | 20.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Travis Konecny | 11 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 4 | 0.00% | 0 | 17.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Seth Jarvis | 13 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 9 | 0 | 2 | 0.00% | 0 | 18.93 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Anton Lundell | 15 | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 0 | 2 | 0.00% | 0 | 13.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 40.00% | 25 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Ridly Greig | 0 | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 7.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Juraj Slafkovsky | 0 | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0.00% | 0 | 9.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | John Beecher | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 7.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23.08% | 13 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 18 | 1 | 2 | 3 | 0 | 10 | 0 | 21 | 44 | 10 | 31 | 2.27% | 5 | 16.20 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 25 | 0 | 0 | 48.11% | 106 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Igor Shesterkin | 1 | 0 | 1 | 0 | 0.939 | 2.07 | 58 | 0 | 0 | 2 | 33 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
Team Total or Average | 1 | 0 | 1 | 0 | 0.939 | 2.07 | 58 | 0 | 0 | 2 | 33 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Kings Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad ![]() | D | 29 | 7,500,000$ | 7,500,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Anton Lundell ![]() | C/LW | 23 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |
Brad Marchand ![]() | LW | 36 | 6,125,000$ | 6,125,000$ | 3,850,000$ | 3,850,000$ | UFA | ||||
Brandon Tanev ![]() | LW/RW | 33 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Corey Perry ![]() | RW | 39 | 1,275,000$ | 1,275,000$ | UFA | ||||||
Igor Shesterkin | G | 29 | 5,666,667$ | 5,666,667$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ |
Jack Hughes ![]() | C/LW | 23 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |
James Reimer | G | 37 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Jamie Oleksiak ![]() | D | 32 | 3,475,000$ | 3,475,000$ | UFA | ||||||
Joel Eriksson Ek ![]() | C | 28 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||
John Beecher ![]() | C | 24 | 925,000$ | 925,000$ | RFA | ||||||
Jordan Martinook ![]() | C/LW/RW | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Juraj Slafkovsky ![]() | LW | 21 | 950,000$ | 950,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ |
Kevin Fiala ![]() | C/LW/RW | 28 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Mattias Ekholm ![]() | D | 34 | 6,100,000$ | 6,100,000$ | UFA | ||||||
Morgan Rielly ![]() | D | 31 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |
Ridly Greig ![]() | C/LW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Roman Josi ![]() | D | 34 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |||
Seth Jarvis ![]() | C/LW/RW | 23 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||||
Travis Hamonic ![]() | D | 34 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Travis Konecny ![]() | LW/RW | 28 | 5,500,000$ | 5,500,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Jefferies ![]() | LW | 23 | 775,000$ | 775,000$ | RFA | ||||||
Alexei Melnichuk ![]() | G | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Bear Hughes ![]() | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Brett Brochu ![]() | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
Brinson Pasichnuk ![]() | D | 27 | 0$ | ![]() | |||||||
Emil Heineman ![]() | LW | 23 | 897,500$ | 897,500$ | RFA | ||||||
German Rubtsov ![]() | C | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Jack Dugan ![]() | LW/RW | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Jani Nyman ![]() | LW/RW | 20 | 923,333$ | 923,333$ | 923,333$ | RFA | |||||
Jaret Anderson-Dolan ![]() | C | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Jordan Papirny ![]() | G | 29 | 775,000$ | 775,000$ | UFA | ||||||
Josiah Didier ![]() | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Kai Schwindt ![]() | LW | 21 | 800,000$ | 800,000$ | RFA | ||||||
Kristian Vesalainen ![]() | LW/RW | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Lukas Rousek ![]() | RW | 26 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
MacKenzie MacEachern ![]() | LW/RW | 31 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Mads Sogaard ![]() | G | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Mason Primeau ![]() | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Matej Blumel ![]() | LW | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Matt Kiersted ![]() | D | 27 | 925,000$ | 925,000$ | ![]() | ||||||
Max Jones ![]() | LW | 27 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Michael McNiven ![]() | G | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Nikolai Knyzhov ![]() | D | 27 | 1,250,000$ | 1,250,000$ | ![]() | ||||||
Noel Hoefenmayer ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Otto Koivula ![]() | LW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Philip Broberg ![]() | D | 23 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Reilly Walsh ![]() | D | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Roni Hirvonen ![]() | C | 23 | 856,667$ | 856,667$ | RFA | ||||||
Simon Kubicek ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Tanner Pearson ![]() | LW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Trevor Janicke ![]() | RW | 24 | 0$ | RFA | |||||||
Tyler Benson ![]() | LW | 27 | 1,000,000$ | 1,000,000$ | ![]() |
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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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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 44 | 24 | 11 | 9 | 0 | 33 | 5 | 10 | 21 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 29 | 51 | 56.86% | 16 | 44 | 36.36% | 6 | 11 | 54.55% | 24 | 17 | 24 | 7 | 10 | 5 | 50.0% | 2.3% | 93.9% | 96.2 | DULL | |
_Vs Division | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 44 | 24 | 11 | 9 | 0 | 33 | 5 | 10 | 21 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 29 | 51 | 56.86% | 16 | 44 | 36.36% | 6 | 11 | 54.55% | 24 | 17 | 24 | 7 | 10 | 5 | 50.0% | 2.3% | 93.9% | 96.2 | DULL | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 44 | 24 | 11 | 9 | 0 | 33 | 5 | 10 | 21 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 29 | 51 | 56.86% | 16 | 44 | 36.36% | 6 | 11 | 54.55% | 24 | 17 | 24 | 7 | 10 | 5 | 50.0% | 2.3% | 93.9% | 96.2 | DULL | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 44 | 24 | 11 | 9 | 0 | 33 | 5 | 10 | 21 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 29 | 51 | 56.86% | 16 | 44 | 36.36% | 6 | 11 | 54.55% | 24 | 17 | 24 | 7 | 10 | 5 | 50.0% | 2.3% | 93.9% | 96.2 | DULL | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 44 | 24 | 11 | 9 | 0 | 33 | 5 | 10 | 21 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 29 | 51 | 56.86% | 16 | 44 | 36.36% | 6 | 11 | 54.55% | 24 | 17 | 24 | 7 | 10 | 5 | 50.0% | 2.3% | 93.9% | 96.2 | DULL |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 10 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 51 |
Neutral Zone Start | 11 |
Defensive Zone Start | 44 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 51 |
Faceoffs Lost | 55 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 24.0 | 9.57 |
2nd Period | 35.0 | 20.31 |
3rd Period | 44.0 | 30.68 |
Overtime | 44.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 1 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 1 |
---|---|
PP Goal | 0 |
PK Attempt | 4 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 44.0 |
Shots Against | 33.0 |
Goals For | 1.0 |
Goals Against | 2.0 |
Hits | 21.0 |
Shots Blocked | 5.0 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-02 | @ | Kings1,Flames2 | RECAP | |||||||||||
2025-05-04 | @ | |||||||||||||
2025-05-06 | @ | |||||||||||||
2025-05-08 | @ | |||||||||||||
2025-05-10 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-12 | @ | |||||||||||||
2025-05-14 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
96,080,000$ | 0$ | 0$ | -8,080,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Staples Center | |
City | Los Angeles | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 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$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
96,080,000$ | 96,080,000$ | 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$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 96,080,000$ | 60,512,374$ | 60,512,374$ |
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 | Ronde 8 |
---|---|---|---|---|---|---|---|---|
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
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 |
---|---|---|---|---|---|
Cameron Lund | 2022 | 66 | |||
Chase Wutzke | 2024 | 157 | |||
Connor Hvidston | 2022 | 184 | |||
Frederik Nissen | 2019 | 140 | |||
Jack Phelan | 2023 | 149 | |||
Jake Lee | 2019 | 118 | |||
Jakub Vondras | 2022 | 190 | |||
Linus Eriksson | 2024 | 63 | |||
Mans Forsfjall | 2020 | 153 | |||
Redmond Savage | 2021 | 107 | |||
Rieger Lorenz | 2022 | 53 | |||
Stanislav Yarovoy | 2023 | 136 | |||
Timofey Spitserov | |||||
Trent Swick | 2024 | 198 | |||
Veeti Miettinen | 2020 | 83 | |||
Zion Nybeck | 2020 | 33 |
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