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Full Scoreboard »» |
Los Angeles Kings 31-18-2, 64pts · 4th 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 | 55 | 32 | 95 | 89 | 68 | 90 | 87 | 82 | 72 | 86 | 86 | 57 | 84 | 64 | 73 | 0 | 49 | 90 | 23 | 8,000,000$/6yrs | |||
![]() | 11 | LW/RW | 99.00 | 76 | 45 | 52 | 83 | 67 | 91 | 90 | 81 | 60 | 77 | 88 | 75 | 84 | 72 | 68 | 0 | 74 | 89 | 27 | 5,500,000$/9yrs | |||
![]() | 14 | C | 98.00 | 76 | 33 | 77 | 76 | 83 | 88 | 89 | 77 | 89 | 75 | 77 | 80 | 77 | 72 | 70 | 0 | 72 | 86 | 28 | 5,250,000$/5yrs | |||
![]() | 0 | C/LW/RW | 98.00 | 65 | 33 | 74 | 78 | 76 | 85 | 88 | 77 | 59 | 81 | 77 | 54 | 77 | 72 | 70 | 0 | 63 | 85 | 28 | 8,500,000$/8yrs | |||
![]() | 15 | C/LW | 100.00 | 68 | 32 | 92 | 76 | 74 | 87 | 90 | 70 | 86 | 70 | 74 | 75 | 72 | 64 | 63 | 0 | 72 | 81 | 23 | 5,000,000$/6yrs | |||
![]() | 13 | C/LW/RW | 100.00 | 69 | 32 | 94 | 71 | 67 | 85 | 90 | 71 | 72 | 71 | 74 | 67 | 72 | 63 | 62 | 0 | 72 | 80 | 23 | 6,250,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 32 | 92 | 60 | 74 | 80 | 90 | 62 | 58 | 58 | 69 | 89 | 66 | 81 | 80 | 0 | 72 | 78 | 33 | 3,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 85 | 34 | 87 | 71 | 94 | 85 | 90 | 63 | 56 | 77 | 56 | 68 | 60 | 59 | 58 | 0 | 72 | 77 | 20 | 950,000$/9yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 38 | 71 | 62 | 72 | 79 | 79 | 64 | 75 | 64 | 65 | 67 | 65 | 61 | 59 | 0 | 72 | 74 | 22 | 863,333$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 34 | 92 | 63 | 86 | 75 | 90 | 56 | 80 | 61 | 59 | 84 | 58 | 64 | 64 | 0 | 72 | 74 | 23 | 925,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 67 | 40 | 79 | 58 | 79 | 77 | 76 | 59 | 58 | 62 | 60 | 67 | 59 | 79 | 77 | 0 | 69 | 73 | 32 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 77 | 42 | 69 | 60 | 86 | 76 | 84 | 62 | 59 | 62 | 62 | 57 | 62 | 69 | 66 | 0 | 53 | 72 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | D | 98.00 | 63 | 35 | 81 | 76 | 79 | 97 | 88 | 73 | 30 | 84 | 75 | 71 | 74 | 83 | 99 | 0 | 72 | 90 | 34 | 9,000,000$/4yrs | |||
![]() | 0 | D | 98.00 | 69 | 37 | 87 | 76 | 86 | 94 | 86 | 70 | 30 | 82 | 60 | 68 | 65 | 76 | 89 | 0 | 69 | 86 | 30 | 7,500,000$/6yrs | |||
![]() | 5 | D | 98.00 | 71 | 34 | 68 | 66 | 87 | 93 | 84 | 65 | 30 | 69 | 65 | 77 | 65 | 73 | 84 | 0 | 72 | 81 | 29 | 7,500,000$/7yrs | |||
![]() | 0 | D | 100.00 | 73 | 46 | 78 | 57 | 99 | 88 | 89 | 65 | 30 | 63 | 59 | 86 | 62 | 78 | 76 | 0 | 72 | 79 | 32 | 3,475,000$/1yrs | |||
![]() | 0 | D | 98.00 | 71 | 35 | 69 | 55 | 79 | 84 | 84 | 59 | 30 | 61 | 58 | 78 | 59 | 82 | 79 | 0 | 72 | 75 | 34 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 34 | 85 | 59 | 87 | 84 | 71 | 57 | 30 | 64 | 61 | 65 | 59 | 64 | 62 | 0 | 73 | 74 | 24 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.22 | 71 | 36 | 80 | 69 | 80 | 85 | 86 | 67 | 56 | 70 | 68 | 71 | 68 | 71 | 72 | 0 | 69 | 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 | 100.00 | 85 | 95 | 85 | 73 | 87 | 81 | 88 | 91 | 88 | 91 | 88 | 73 | 78 | 0 | 79 | 90 | 29 | 3,400,000$/1yrs |
![]() | 0 | 95.00 | 90 | 95 | 83 | 76 | 89 | 80 | 89 | 91 | 88 | 91 | 89 | 74 | 78 | 0 | 50 | 90 | 29 | 5,666,667$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 97.50 | 88 | 95 | 84 | 75 | 88 | 81 | 89 | 91 | 88 | 91 | 89 | 74 | 78 | 0 | 65 | 90 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 83 | 88 | 90 | 90 | 86 | 78 | 75 | CAN | 55 | 5 | 1,000,000$ |
General Manager | Yannick VĂ©zina-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 | Travis Konecny | 11 | LW/RW | 51 | 27 | 26 | 53 | 8 | 54 | 10 | 177 | 261 | 79 | 193 | 10.34% | 9 | 19.74 | 6 | 10 | 16 | 191 | 0 | 0 | 0 | 0 | 1 | 3 | 34.94% | 83 | 0 | 0 | 0 | 1 | 1.05 | 1 | 4 | |
2 | Joel Eriksson Ek | 14 | C | 51 | 19 | 29 | 48 | 10 | 38 | 0 | 94 | 222 | 69 | 162 | 8.56% | 18 | 19.61 | 3 | 10 | 13 | 163 | 0 | 0 | 0 | 99 | 5 | 1 | 55.24% | 1287 | 0 | 0 | 0 | 0 | 0.96 | 0 | 1 | |
3 | Morgan Rielly | 0 | D | 51 | 10 | 32 | 42 | 11 | 37 | 5 | 75 | 69 | 27 | 49 | 14.49% | 61 | 24.85 | 5 | 6 | 11 | 162 | 0 | 1 | 1 | 148 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
4 | Roman Josi | 0 | D | 51 | 8 | 27 | 35 | 11 | 28 | 0 | 41 | 109 | 34 | 67 | 7.34% | 66 | 24.48 | 6 | 7 | 13 | 189 | 0 | 0 | 0 | 177 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 1 | |
5 | Seth Jarvis | 13 | C/LW/RW | 51 | 14 | 21 | 35 | -1 | 4 | 0 | 11 | 145 | 35 | 102 | 9.66% | 8 | 16.65 | 5 | 8 | 13 | 184 | 0 | 0 | 0 | 1 | 1 | 1 | 46.63% | 341 | 0 | 0 | 0 | 0 | 0.82 | 1 | 1 | |
6 | Jack Hughes | 86 | C/LW | 48 | 13 | 20 | 33 | 8 | 0 | 0 | 8 | 148 | 35 | 94 | 8.78% | 7 | 17.11 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 45 | 3 | 0 | 44.61% | 964 | 0 | 0 | 0 | 0 | 0.80 | 0 | 1 | |
7 | Aaron Ekblad | 5 | D | 51 | 3 | 27 | 30 | 4 | 58 | 0 | 106 | 71 | 18 | 47 | 4.23% | 67 | 21.83 | 2 | 7 | 9 | 165 | 0 | 0 | 0 | 57 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
8 | Kevin Fiala | 0 | C/LW/RW | 51 | 14 | 16 | 30 | 5 | 18 | 0 | 56 | 111 | 34 | 93 | 12.61% | 4 | 20.22 | 5 | 5 | 10 | 191 | 0 | 0 | 0 | 18 | 0 | 1 | 46.67% | 90 | 0 | 0 | 0 | 0 | 0.58 | 1 | 4 | |
9 | Travis Hamonic | 0 | D | 51 | 8 | 17 | 25 | 14 | 52 | 0 | 105 | 55 | 31 | 47 | 14.55% | 73 | 21.75 | 4 | 4 | 8 | 182 | 0 | 0 | 0 | 175 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
10 | Anton Lundell | 15 | C/LW | 51 | 10 | 13 | 23 | 2 | 8 | 0 | 15 | 107 | 26 | 73 | 9.35% | 6 | 14.32 | 1 | 3 | 4 | 73 | 1 | 0 | 1 | 197 | 1 | 0 | 50.93% | 968 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
11 | Juraj Slafkovsky | 0 | LW | 51 | 7 | 14 | 21 | 2 | 24 | 0 | 81 | 70 | 22 | 62 | 10.00% | 7 | 17.00 | 1 | 3 | 4 | 162 | 0 | 0 | 0 | 0 | 1 | 0 | 40.91% | 66 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
12 | Brandon Tanev | 0 | LW/RW | 51 | 8 | 8 | 16 | 7 | 22 | 0 | 63 | 74 | 23 | 40 | 10.81% | 12 | 12.49 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 222 | 2 | 0 | 38.33% | 60 | 0 | 0 | 2 | 0 | 0.50 | 2 | 3 | |
13 | Jamie Oleksiak | 0 | D | 51 | 2 | 11 | 13 | 9 | 82 | 10 | 103 | 39 | 12 | 25 | 5.13% | 91 | 17.41 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 164 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
14 | Tanner Pearson | 0 | LW | 51 | 5 | 5 | 10 | 10 | 13 | 5 | 21 | 38 | 5 | 22 | 13.16% | 1 | 6.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 58.82% | 17 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
15 | Ridly Greig | 0 | C/LW | 51 | 3 | 7 | 10 | 5 | 16 | 0 | 59 | 47 | 9 | 32 | 6.38% | 5 | 11.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 101 | 0 | 1 | 47.22% | 36 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
16 | John Beecher | 0 | C | 51 | 3 | 3 | 6 | 4 | 8 | 0 | 16 | 55 | 10 | 30 | 5.45% | 6 | 7.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.21% | 412 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
17 | Mason Lohrei | 0 | D | 51 | 1 | 2 | 3 | 3 | 19 | 5 | 21 | 14 | 6 | 12 | 7.14% | 24 | 10.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
18 | Max Jones | 0 | LW | 28 | 0 | 0 | 0 | 1 | 4 | 0 | 18 | 9 | 5 | 11 | 0.00% | 1 | 7.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 36.84% | 19 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 892 | 155 | 278 | 433 | 113 | 485 | 35 | 1070 | 1644 | 480 | 1161 | 9.43% | 466 | 16.33 | 38 | 63 | 101 | 1690 | 1 | 2 | 3 | 1424 | 25 | 7 | 49.71% | 4343 | 0 | 0 | 2 | 1 | 0.59 | 5 | 15 |
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 | 50 | 26 | 15 | 6 | 0.911 | 2.61 | 2810 | 6 | 3 | 122 | 1365 | 0 | 4 | 2 | 0.720 | 25 | 50 | 1 | 4 | 3 | 2 | |
2 | Alexandar Georgiev | 20 | 12 | 8 | 0 | 0.915 | 2.73 | 1210 | 0 | 2 | 55 | 648 | 0 | 1 | 1 | 1.000 | 13 | 20 | 31 | 2 | 2 | 3 | |
Team Total or Average | 70 | 38 | 23 | 6 | 0.912 | 2.64 | 4020 | 6 | 5 | 177 | 2013 | 0 | 5 | 3 | 0.816 | 38 | 70 | 32 | 6 | 5 | 5 |
Projected Total Cap Hit | 85,325,022$ |
Projected Cap Space | 2,674,978$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 52,768,872$ |
Players In Salary Cap | 20 |
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 |
Alexandar Georgiev | G | 29 | 3,400,000$ | 3,400,000$ | 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 | |
Brandon Tanev ![]() | LW/RW | 33 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Igor Shesterkin | G | 29 | 5,666,667$ | 5,666,667$ | UFA | ||||||
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 | |
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 | 23 | 925,000$ | 925,000$ | RFA | ||||||
Juraj Slafkovsky ![]() | LW | 20 | 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$ |
Mason Lohrei ![]() | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Max Jones ![]() | LW | 26 | 1,000,000$ | 1,000,000$ | |||||||
Morgan Rielly ![]() | D | 30 | 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$ | ||||
Tanner Pearson ![]() | LW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Travis Hamonic ![]() | D | 34 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Travis Konecny ![]() | LW/RW | 27 | 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 | 26 | 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 | 28 | 775,000$ | 775,000$ | UFA | ||||||
Josiah Didier ![]() | D | 31 | 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 | 25 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Mackenzie MacEachern ![]() | LW/RW | 30 | 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 | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Michael McNiven ![]() | G | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Nikolai Knyzhov ![]() | D | 26 | 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 | 25 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Roni Hirvonen ![]() | C | 23 | 856,667$ | 856,667$ | RFA | ||||||
Simon Kubicek ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Tyler Benson ![]() | LW | 26 | 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 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 11 | 18 | 1 | 0 | 0 | 4 | 3 | 0 | 96 | 22 | 36 | 38 | 0 | 96 | 30 | 26 | 60 | 13 | 3 | 23.08% | 13 | 2 | 84.62% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 71 | 49 | 70 | 22 | 37 | 19 | 30.8% | 7.3% | 88.5% | 95.8 | Unlucky | |
2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 1 | 3 | 4 | 0 | 75 | 20 | 32 | 21 | 5 | 62 | 19 | 20 | 44 | 8 | 2 | 25.00% | 9 | 1 | 88.89% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 49 | 33 | 48 | 15 | 27 | 13 | 60.0% | 10.7% | 91.9% | 102.6 | LUCKY | |
3 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 8 | 2 | 4 | 1.000 | 10 | 14 | 24 | 0 | 0 | 5 | 2 | 2 | 2 | 69 | 22 | 23 | 18 | 8 | 79 | 32 | 24 | 43 | 4 | 2 | 50.00% | 10 | 2 | 80.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 46 | 32 | 53 | 15 | 25 | 12 | 57.1% | 14.5% | 89.9% | 104.4 | FUN | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 3 | 0 | 69 | 18 | 15 | 36 | 0 | 49 | 17 | 20 | 43 | 10 | 2 | 20.00% | 10 | 3 | 70.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 48 | 33 | 46 | 13 | 25 | 13 | 45.5% | 10.1% | 81.6% | 91.8 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 36 | 14 | 12 | 10 | 0 | 22 | 10 | 14 | 17 | 5 | 3 | 60.00% | 7 | 1 | 85.71% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 25 | 18 | 21 | 8 | 12 | 6 | 100.0% | 13.9% | 95.5% | 109.3 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 34 | 3 | 19 | 12 | 0 | 35 | 6 | 6 | 18 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 25 | 18 | 21 | 7 | 12 | 6 | 25.0% | 5.9% | 91.4% | 97.3 | DULL | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 2 | 0 | 0 | 24 | 6 | 11 | 7 | 0 | 23 | 6 | 8 | 23 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 24 | 15 | 22 | 7 | 13 | 7 | 100.0% | 8.3% | 100.0% | 108.3 | DULL | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 36 | 14 | 9 | 13 | 0 | 25 | 10 | 4 | 16 | 6 | 1 | 16.67% | 2 | 2 | 0.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 25 | 19 | 21 | 6 | 12 | 6 | 75.0% | 11.1% | 88.0% | 99.1 | FUN | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 53 | 12 | 17 | 24 | 0 | 53 | 18 | 28 | 43 | 6 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 45 | 31 | 50 | 14 | 23 | 11 | 57.1% | 7.5% | 92.5% | 100.0 | DULL | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 0 | 1 | 24 | 4 | 14 | 5 | 4 | 32 | 6 | 16 | 22 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 26 | 17 | 24 | 8 | 13 | 6 | 100.0% | 12.5% | 93.8% | 106.3 | LUCKY | |
11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 0 | 1 | 40 | 9 | 22 | 8 | 1 | 27 | 13 | 8 | 28 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 1 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 26 | 18 | 21 | 7 | 12 | 6 | 50.0% | 10.0% | 88.9% | 98.9 | FUN | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 1 | 2 | 2 | 1 | 0 | 76 | 31 | 27 | 18 | 0 | 58 | 16 | 18 | 38 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 49 | 33 | 45 | 14 | 25 | 12 | 57.1% | 6.6% | 93.1% | 99.7 | DULL | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 5 | 2 | 2 | 0 | 69 | 22 | 26 | 21 | 0 | 49 | 14 | 24 | 41 | 11 | 2 | 18.18% | 12 | 1 | 91.67% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 50 | 33 | 44 | 14 | 25 | 13 | 87.5% | 13.0% | 95.9% | 109.0 | LUCKY | |
14 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 4 | 2 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 64 | 19 | 17 | 28 | 0 | 65 | 18 | 10 | 36 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 53 | 38 | 42 | 14 | 24 | 12 | 62.5% | 9.4% | 93.8% | 103.2 | LUCKY | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 64 | 15 | 25 | 24 | 0 | 48 | 13 | 24 | 45 | 6 | 1 | 16.67% | 7 | 3 | 57.14% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 51 | 36 | 42 | 13 | 26 | 13 | 33.3% | 3.1% | 89.6% | 92.7 | Unlucky | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 10 | 17 | 0 | 1 | 2 | 4 | 1 | 0 | 69 | 33 | 22 | 14 | 0 | 47 | 16 | 4 | 43 | 9 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 49 | 34 | 45 | 14 | 25 | 13 | 70.0% | 10.1% | 93.6% | 103.8 | LUCKY | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 31 | 3 | 16 | 12 | 0 | 27 | 16 | 10 | 20 | 5 | 1 | 20.00% | 4 | 2 | 50.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 23 | 15 | 23 | 8 | 13 | 6 | 100.0% | 9.7% | 92.6% | 102.3 | LUCKY | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 39 | 16 | 13 | 10 | 0 | 51 | 8 | 8 | 31 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 24 | 16 | 22 | 7 | 13 | 6 | 40.0% | 10.3% | 86.3% | 96.5 | FUN | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 12 | 19 | 1 | 0 | 4 | 2 | 1 | 0 | 73 | 22 | 24 | 27 | 0 | 68 | 20 | 18 | 57 | 12 | 4 | 33.33% | 7 | 1 | 85.71% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 48 | 33 | 46 | 14 | 25 | 12 | 42.9% | 9.6% | 92.6% | 102.2 | LUCKY | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 27 | 5 | 9 | 13 | 0 | 40 | 10 | 16 | 19 | 3 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 25 | 16 | 22 | 8 | 12 | 5 | 50.0% | 7.4% | 92.5% | 99.9 | DULL | |
21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 0 | 5 | 0 | 0 | 63 | 14 | 26 | 23 | 0 | 69 | 27 | 20 | 31 | 10 | 2 | 20.00% | 10 | 3 | 70.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 45 | 31 | 49 | 15 | 24 | 12 | 37.5% | 7.9% | 88.4% | 96.3 | Unlucky | |
22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 3 | 4 | 2 | 0 | 68 | 12 | 35 | 21 | 0 | 75 | 19 | 18 | 52 | 3 | 1 | 33.33% | 9 | 3 | 66.67% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 44 | 29 | 47 | 14 | 27 | 13 | 57.1% | 13.2% | 88.0% | 101.2 | FUN | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 3 | 6 | 0 | 0 | 85 | 27 | 36 | 22 | 0 | 48 | 18 | 16 | 35 | 14 | 2 | 14.29% | 7 | 1 | 85.71% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 54 | 38 | 40 | 15 | 25 | 13 | 63.6% | 10.6% | 89.6% | 100.2 | FUN | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 3 | 0 | 1 | 72 | 21 | 22 | 22 | 14 | 76 | 17 | 24 | 46 | 9 | 0 | 0.00% | 12 | 0 | 100.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 46 | 31 | 51 | 15 | 26 | 12 | 63.6% | 9.7% | 94.7% | 104.5 | LUCKY | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 1 | 0 | 31 | 8 | 13 | 10 | 0 | 33 | 8 | 12 | 27 | 5 | 2 | 40.00% | 6 | 1 | 83.33% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 25 | 16 | 20 | 7 | 14 | 7 | 50.0% | 16.1% | 87.9% | 104.0 | FUN | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 34 | 13 | 3 | 18 | 0 | 33 | 12 | 11 | 24 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 21 | 13 | 25 | 8 | 13 | 6 | 33.3% | 8.8% | 93.9% | 102.8 | DULL | |
27 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 1 | 0 | 4 | 1 | 1 | 1 | 54 | 15 | 15 | 20 | 7 | 66 | 16 | 36 | 41 | 9 | 1 | 11.11% | 7 | 2 | 71.43% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 50 | 34 | 47 | 14 | 27 | 14 | 50.0% | 13.0% | 87.9% | 100.8 | FUN | |
28 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 12 | 18 | 1 | 0 | 4 | 1 | 1 | 0 | 113 | 46 | 34 | 33 | 0 | 75 | 22 | 26 | 61 | 12 | 0 | 0.00% | 13 | 2 | 84.62% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 71 | 48 | 69 | 22 | 39 | 19 | 54.5% | 5.3% | 90.7% | 96.0 | Unlucky | |
29 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 3 | 2 | 1 | 81 | 20 | 27 | 31 | 3 | 59 | 18 | 22 | 52 | 8 | 0 | 0.00% | 10 | 4 | 60.00% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 51 | 36 | 47 | 15 | 25 | 13 | 80.0% | 9.9% | 89.8% | 99.7 | FUN | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 54 | 16 | 16 | 22 | 0 | 57 | 11 | 16 | 46 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 47 | 31 | 46 | 13 | 26 | 14 | 50.0% | 7.4% | 93.0% | 100.4 | DULL | |
_Vs Division | 16 | 9 | 5 | 0 | 1 | 0 | 1 | 0 | 48 | 37 | 11 | 22 | 0.688 | 48 | 81 | 129 | 2 | 1 | 18 | 19 | 9 | 2 | 554 | 180 | 183 | 181 | 17 | 459 | 128 | 142 | 349 | 67 | 6 | 8.96% | 69 | 10 | 85.51% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 388 | 264 | 375 | 118 | 206 | 105 | 60.9% | 8.7% | 91.9% | 100.6 | DULL | |
_Vs Conference | 26 | 16 | 7 | 0 | 1 | 1 | 1 | 0 | 80 | 59 | 21 | 37 | 0.712 | 80 | 142 | 222 | 2 | 3 | 29 | 34 | 15 | 2 | 892 | 279 | 312 | 291 | 17 | 753 | 220 | 232 | 547 | 112 | 13 | 11.61% | 112 | 17 | 84.82% | 0 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 642 | 440 | 593 | 194 | 333 | 172 | 61.5% | 9.0% | 92.2% | 101.1 | LUCKY | |
_Since Last GM Reset | 51 | 25 | 18 | 0 | 2 | 1 | 4 | 1 | 164 | 141 | 23 | 64 | 0.627 | 164 | 286 | 450 | 4 | 3 | 57 | 66 | 35 | 7 | 1723 | 502 | 616 | 581 | 42 | 1547 | 466 | 507 | 1102 | 210 | 36 | 17.14% | 220 | 42 | 80.91% | 1 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 1248 | 859 | 1183 | 378 | 658 | 334 | 56.4% | 9.5% | 90.9% | 100.4 | FUN | |
Total | 51 | 25 | 18 | 0 | 2 | 1 | 4 | 1 | 164 | 141 | 23 | 64 | 0.627 | 164 | 286 | 450 | 4 | 3 | 57 | 66 | 35 | 7 | 1723 | 502 | 616 | 581 | 42 | 1547 | 466 | 507 | 1102 | 210 | 36 | 17.14% | 220 | 42 | 80.91% | 1 | 969 | 1886 | 51.38% | 872 | 1774 | 49.15% | 372 | 787 | 47.27% | 1248 | 859 | 1183 | 378 | 658 | 334 | 56.4% | 9.5% | 90.9% | 100.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 1886 |
Neutral Zone Start | 787 |
Defensive Zone Start | 1774 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2213 |
Faceoffs Lost | 2234 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.8 | 9.57 |
2nd Period | 21.9 | 20.31 |
3rd Period | 33.3 | 30.68 |
Overtime | 34.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 123 |
---|---|
PP Goal | 36 |
PK Goal | 1 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 11 | 20 |
Lost | 8 | 10 |
Overtime Lost | 1 | 1 |
PP Attempt | 210 |
---|---|
PP Goal | 36 |
PK Attempt | 220 |
PK Goal Against | 42 |
Home | |
---|---|
Shots For | 33.8 |
Shots Against | 30.3 |
Goals For | 3.2 |
Goals Against | 2.8 |
Hits | 21.6 |
Shots Blocked | 9.1 |
Pim | 9.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-12 | @ | Kings2,Sabres4 | RECAP | |||||||||||
2024-10-14 | @ | Kings4,Bruins7 | RECAP | |||||||||||
2024-10-16 | @ | Kings2,Senators5 | RECAP | |||||||||||
2024-10-18 | @ | Kings3,Maple Leafs2 | RECAP | |||||||||||
2024-10-19 | @ | Kings3,Canadiens2 (SO) | RECAP | |||||||||||
2024-10-22 | @ | Kings3,Ducks1 | RECAP | |||||||||||
2024-10-24 | @ | Kings5,Golden Knights4 (OT) | RECAP | |||||||||||
2024-10-26 | @ | Sharks3,Kings1 | RECAP | |||||||||||
2024-10-28 | @ | Hockey Club2,Kings3 | RECAP | |||||||||||
2024-10-31 | @ | Kings5,Sharks3 | RECAP | |||||||||||
2024-11-01 | @ | Golden Knights2,Kings3 | RECAP | |||||||||||
2024-11-04 | @ | Blackhawks3,Kings2 | RECAP | |||||||||||
2024-11-06 | @ | Kings4,Predators1 | RECAP | |||||||||||
2024-11-07 | @ | Kings2,Wild4 | RECAP | |||||||||||
2024-11-09 | @ | Canucks1,Kings5 | RECAP | |||||||||||
2024-11-11 | @ | Blue Jackets5,Kings2 | RECAP | |||||||||||
2024-11-13 | @ | Kings1,Flames5 | RECAP | |||||||||||
2024-11-15 | @ | Kings2,Avalanche0 | RECAP | |||||||||||
2024-11-18 | @ | Red Wings3,Kings2 | RECAP | |||||||||||
2024-11-22 | @ | Sabres1,Kings5 | RECAP | |||||||||||
2024-11-25 | @ | Kraken3,Kings1 | RECAP | |||||||||||
2024-11-27 | @ | Kings0,Sharks1 | RECAP | |||||||||||
2024-11-29 | @ | Jets4,Kings6 | RECAP | |||||||||||
2024-12-01 | @ | Kings4,Ducks3 (SO) | RECAP | |||||||||||
2024-12-02 | @ | Senators4,Kings5 | RECAP | |||||||||||
2024-12-06 | @ | Stars4,Kings5 | RECAP | |||||||||||
2024-12-09 | @ | Wild0,Kings3 | RECAP | |||||||||||
2024-12-12 | @ | Kings5,Islanders1 | RECAP | |||||||||||
2024-12-14 | @ | Kings5,Devils4 (SO) | RECAP | |||||||||||
2024-12-16 | @ | Kings4,Rangers3 | RECAP | |||||||||||
2024-12-19 | @ | Kings4,Penguins3 (SO) | RECAP | |||||||||||
2024-12-21 | @ | Kings5,Flyers1 | RECAP | |||||||||||
2024-12-23 | @ | Kings2,Predators3 (OT) | RECAP | |||||||||||
2024-12-24 | @ | Kings4,Capitals3 (OT) | RECAP | |||||||||||
2024-12-30 | @ | Oilers3,Kings5 | RECAP | |||||||||||
2024-12-31 | @ | Flyers4,Kings3 (SO) | RECAP | |||||||||||
2025-01-03 | @ | Devils4,Kings5 | RECAP | |||||||||||
2025-01-06 | @ | Lightning2,Kings1 | RECAP | |||||||||||
2025-01-10 | @ | Flames2,Kings4 | RECAP | |||||||||||
2025-01-12 | @ | Kings3,Jets1 | RECAP | |||||||||||
2025-01-13 | @ | Kings2,Flames4 | RECAP | |||||||||||
2025-01-15 | @ | Kings2,Oilers0 | RECAP | |||||||||||
2025-01-18 | @ | Kings4,Canucks1 | RECAP | |||||||||||
2025-01-20 | @ | Kings3,Kraken1 | RECAP | |||||||||||
2025-01-22 | @ | Penguins5,Kings3 | RECAP | |||||||||||
2025-01-24 | @ | Panthers3,Kings2 | RECAP | |||||||||||
2025-01-27 | @ | Kings7,Blue Jackets4 | RECAP | |||||||||||
2025-01-29 | @ | Kings2,Red Wings1 | RECAP | |||||||||||
2025-01-31 | @ | Kings3,Panthers5 | RECAP | |||||||||||
2025-02-01 | @ | Kings1,Lightning3 | RECAP | |||||||||||
2025-02-03 | @ | Kings2,Hurricanes3 | RECAP | |||||||||||
2025-02-07 | @ | |||||||||||||
2025-02-09 | @ | |||||||||||||
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2025-03-07 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | |||||||||||||
2025-03-11 | @ | |||||||||||||
2025-03-13 | @ | |||||||||||||
2025-03-15 | @ | |||||||||||||
2025-03-17 | @ | |||||||||||||
2025-03-19 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-03-31 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
2025-04-09 | @ | |||||||||||||
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2025-04-16 | @ | |||||||||||||
2025-04-17 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
85,080,000$ | 0$ | 85,325,022$ | 2,920,000$ |
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 | 114917 | 95170 | 38225 | 76196 | 19058 |
Attendance PCT | 95.76% | 95.17% | 95.56% | 95.25% | 95.29% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
21 | 17178 - 95.44% | 1,576,658$ | 31,533,159$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
85,080,000$ | 85,080,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
53,386,219$ | 434,082$ | 52,768,872$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
33,109,817$ | 75 | 439,184$ | 32,938,800$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,099,386$ | 85,080,000$ | 63,904,923$ | 62,915,354$ |
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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 |
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2025 | ||||||||
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2027 | ||||||||
2028 | ||||||||
2029 |
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. |
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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. |
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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 | |||
Trevor Janicke | 2019 | 138 | |||
Veeti Miettinen | 2020 | 83 | |||
Will McIsaac | 2024 | 159 | |||
Zion Nybeck | 2020 | 33 |
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