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Full Scoreboard »» |
Los Angeles Kings 9-8-2, 20pts · 12th in Conference Ouest |
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 | 100.00 | 85 | 91 | 83 | 78 | 83 | 72 | 97 | 71 | 90 | 73 | 70 | 84 | 25 | 74 | 76 | 76 | 50 | 0 | 29 | 3,250,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 52 | 93 | 75 | 66 | 67 | 78 | 70 | 36 | 75 | 71 | 68 | 75 | 54 | 54 | 72 | 50 | 0 | 21 | 863,333$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 57 | 87 | 79 | 78 | 72 | 99 | 79 | 95 | 84 | 88 | 73 | 61 | 86 | 87 | 83 | 50 | 0 | 33 | 9,500,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 69 | 42 | 83 | 89 | 63 | 63 | 94 | 59 | 43 | 60 | 64 | 82 | 72 | 92 | 93 | 69 | 50 | 0 | 35 | 1,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 86 | 46 | 90 | 80 | 79 | 73 | 94 | 80 | 56 | 67 | 82 | 61 | 41 | 79 | 83 | 77 | 50 | 0 | 30 | 4,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 52 | 87 | 88 | 67 | 84 | 90 | 95 | 74 | 92 | 90 | 80 | 63 | 78 | 80 | 87 | 50 | 0 | 29 | 5,125,000$/7yrs | |||
![]() | 0 | C | 100.00 | 67 | 52 | 87 | 88 | 74 | 87 | 99 | 89 | 84 | 82 | 83 | 76 | 80 | 65 | 67 | 82 | 50 | 0 | 23 | 7,875,000$/8yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 53 | 83 | 85 | 70 | 74 | 84 | 64 | 92 | 75 | 71 | 86 | 75 | 69 | 74 | 75 | 50 | 0 | 25 | 4,800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 41 | 92 | 84 | 67 | 59 | 81 | 75 | 35 | 79 | 83 | 61 | 63 | 67 | 68 | 77 | 50 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 42 | 87 | 82 | 76 | 69 | 88 | 70 | 72 | 75 | 81 | 64 | 25 | 67 | 68 | 76 | 50 | 0 | 23 | 2,300,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 44 | 98 | 84 | 80 | 85 | 75 | 92 | 25 | 85 | 83 | 77 | 75 | 69 | 72 | 83 | 50 | 0 | 27 | 6,125,000$/8yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 41 | 89 | 90 | 71 | 79 | 99 | 91 | 39 | 85 | 92 | 65 | 41 | 70 | 72 | 84 | 50 | 0 | 26 | 6,962,366$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 46 | 88 | 85 | 88 | 87 | 97 | 65 | 25 | 63 | 48 | 91 | 53 | 73 | 77 | 68 | 50 | 0 | 29 | 6,500,000$/8yrs | |||
![]() | 0 | D | 100.00 | 92 | 60 | 79 | 76 | 83 | 78 | 98 | 59 | 25 | 50 | 49 | 97 | 25 | 64 | 65 | 67 | 50 | 0 | 30 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 45 | 83 | 76 | 75 | 67 | 90 | 59 | 25 | 53 | 48 | 88 | 25 | 65 | 66 | 64 | 50 | 0 | 28 | 2,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 45 | 81 | 78 | 84 | 86 | 79 | 58 | 25 | 61 | 48 | 99 | 75 | 78 | 81 | 67 | 50 | 0 | 31 | 3,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 86 | 46 | 86 | 82 | 81 | 85 | 98 | 66 | 25 | 69 | 51 | 87 | 75 | 63 | 64 | 70 | 50 | 0 | 22 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 53 | 80 | 79 | 70 | 77 | 88 | 62 | 25 | 61 | 47 | 83 | 25 | 65 | 66 | 65 | 50 | 0 | 24 | 3,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 65 | 41 | 93 | 79 | 67 | 66 | 93 | 62 | 44 | 62 | 68 | 78 | 25 | 76 | 79 | 70 | 50 | 0 | 30 | 850,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 69 | 82 | 67 | 69 | 68 | 68 | 68 | 80 | 63 | 68 | 67 | 65 | 53 | 53 | 68 | 50 | 0 | 27 | 750,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 74 | 51 | 87 | 81 | 75 | 75 | 89 | 72 | 51 | 71 | 69 | 78 | 53 | 70 | 72 | 74 | 50 | 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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 68 | 78 | 75 | 81 | 77 | 60 | 69 | 70 | 67 | 68 | 95 | 61 | 62 | 70 | 50 | 0 | 26 | 5,000,000$/4yrs |
![]() | 0 | 100.00 | 61 | 53 | 66 | 77 | 64 | 64 | 61 | 67 | 66 | 65 | 95 | 45 | 45 | 63 | 50 | 0 | 26 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 65 | 66 | 71 | 79 | 71 | 62 | 65 | 69 | 67 | 67 | 95 | 53 | 54 | 67 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 84 | 59 | 87 | 80 | 77 | 62 | 87 | 65 | 25 | 62 | 58 | 62 | 25 | 62 | 63 | 65 | 57 | 0 | 24 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 74 | 78 | 58 | 74 | 73 | 78 | 56 | 25 | 42 | 55 | 63 | 52 | 44 | 44 | 59 | 57 | 0 | 22 | 925,000$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 49 | 44 | 55 | 68 | 50 | 53 | 50 | 54 | 54 | 53 | 30 | 44 | 44 | 51 | 57 | 0 | 23 | 867,500$/1yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Marc-Andre Girard |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | William Nylander | 0 | LW/RW | 19 | 9 | 10 | 19 | 3 | 9 | 5 | 22 | 66 | 17 | 48 | 13.64% | 5 | 17.90 | 4 | 2 | 6 | 41 | 0 | 0 | 0 | 0 | 1 | 0 | 32.00% | 25 | 26 | 5 | 0 | 0 | 1.12 | 0 | 4 | ||
2 | Ryan Nugent-Hopkins | 0 | C/LW | 19 | 9 | 8 | 17 | -6 | 11 | 5 | 27 | 71 | 17 | 28 | 12.68% | 13 | 20.50 | 2 | 3 | 5 | 40 | 1 | 0 | 1 | 55 | 0 | 0 | 40.48% | 42 | 18 | 4 | 0 | 0 | 0.87 | 0 | 2 | ||
3 | Valeri Nichushkin | 0 | LW/RW | 19 | 7 | 10 | 17 | -3 | 0 | 0 | 22 | 51 | 23 | 47 | 13.73% | 7 | 17.17 | 2 | 3 | 5 | 45 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 12 | 13 | 9 | 0 | 1 | 1.04 | 0 | 1 | ||
4 | Anthony Cirelli | 0 | C/LW | 19 | 2 | 13 | 15 | 2 | 8 | 0 | 24 | 23 | 14 | 15 | 8.70% | 15 | 15.27 | 0 | 2 | 2 | 16 | 1 | 0 | 1 | 35 | 1 | 0 | 54.40% | 193 | 8 | 2 | 0 | 0 | 1.03 | 0 | 0 | ||
5 | Daniel Sprong | 0 | LW/RW | 19 | 8 | 5 | 13 | 7 | 0 | 0 | 19 | 36 | 9 | 18 | 22.22% | 4 | 14.86 | 0 | 1 | 1 | 32 | 0 | 0 | 0 | 0 | 0 | 1 | 25.00% | 12 | 4 | 4 | 0 | 0 | 0.92 | 0 | 0 | ||
6 | Jamie Benn | 0 | C/LW | 19 | 5 | 5 | 10 | -9 | 8 | 0 | 30 | 50 | 9 | 24 | 10.00% | 10 | 17.22 | 0 | 3 | 3 | 35 | 0 | 0 | 0 | 16 | 1 | 0 | 54.62% | 260 | 4 | 8 | 0 | 0 | 0.61 | 0 | 4 | ||
7 | Nick Suzuki | 0 | C | 19 | 4 | 5 | 9 | 2 | 27 | 5 | 23 | 45 | 17 | 35 | 8.89% | 9 | 18.25 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 1 | 1 | 0 | 52.27% | 396 | 13 | 5 | 0 | 0 | 0.52 | 3 | 4 | ||
8 | Adam Lowry | 0 | C | 19 | 5 | 3 | 8 | 4 | 11 | 5 | 24 | 28 | 6 | 18 | 17.86% | 13 | 12.36 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 54 | 0 | 1 | 50.68% | 148 | 5 | 5 | 0 | 0 | 0.68 | 0 | 0 | ||
9 | Jack Quinn | 0 | LW/RW | 19 | 2 | 6 | 8 | -1 | 0 | 0 | 12 | 28 | 12 | 16 | 7.14% | 0 | 11.26 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 17 | 1 | 0 | 0.00% | 4 | 8 | 3 | 0 | 0 | 0.75 | 0 | 0 | ||
10 | Andrew Cogliano | 0 | LW | 19 | 1 | 5 | 6 | 5 | 10 | 0 | 16 | 16 | 7 | 12 | 6.25% | 4 | 10.60 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 29 | 0 | 0 | 100.00% | 2 | 3 | 3 | 0 | 0 | 0.60 | 0 | 0 | ||
11 | Nino Niederreiter | 0 | LW/RW | 19 | 4 | 2 | 6 | 1 | 2 | 0 | 32 | 38 | 13 | 13 | 10.53% | 5 | 13.71 | 0 | 1 | 1 | 26 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 3 | 4 | 0 | 0 | 0.46 | 0 | 0 | ||
12 | Filip Chytil | 0 | C/LW | 19 | 2 | 4 | 6 | 2 | 0 | 0 | 14 | 34 | 9 | 12 | 5.88% | 4 | 10.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 23.08% | 13 | 9 | 6 | 0 | 0 | 0.58 | 0 | 0 | ||
13 | Colton Parayko | 0 | D | 19 | 0 | 5 | 5 | 3 | 23 | 5 | 31 | 18 | 4 | 5 | 0.00% | 25 | 22.64 | 0 | 1 | 1 | 33 | 0 | 0 | 0 | 49 | 0 | 0 | 100.00% | 1 | 0 | 22 | 0 | 0 | 0.23 | 0 | 0 | ||
14 | David Savard | 0 | D | 19 | 0 | 5 | 5 | -9 | 24 | 0 | 36 | 11 | 12 | 4 | 0.00% | 29 | 24.18 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 3 | 16 | 0 | 0 | 0.22 | 0 | 0 | ||
15 | K'Andre Miller | 0 | D | 19 | 2 | 3 | 5 | 3 | 14 | 0 | 16 | 16 | 3 | 8 | 12.50% | 15 | 17.60 | 2 | 2 | 4 | 39 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 5 | 8 | 0 | 0 | 0.30 | 0 | 0 | ||
16 | Jani Hakanpaa | 0 | D | 19 | 0 | 4 | 4 | -6 | 18 | 10 | 33 | 9 | 7 | 2 | 0.00% | 27 | 21.86 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 62 | 0 | 0 | 0.00% | 0 | 2 | 14 | 0 | 0 | 0.19 | 0 | 0 | ||
17 | Ryan Lindgren | 0 | D | 19 | 0 | 3 | 3 | 3 | 8 | 0 | 16 | 7 | 4 | 1 | 0.00% | 17 | 13.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 8 | 0 | 0 | 0.23 | 0 | 0 | ||
18 | Ilya Lyubushkin | 0 | D | 19 | 0 | 2 | 2 | 12 | 10 | 0 | 21 | 15 | 5 | 3 | 0.00% | 23 | 17.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 17 | 0 | 0 | 0.12 | 0 | 0 | ||
Team Total or Average | 342 | 60 | 98 | 158 | 13 | 183 | 35 | 418 | 562 | 188 | 309 | 10.68% | 225 | 16.53 | 10 | 18 | 28 | 390 | 2 | 2 | 4 | 423 | 7 | 2 | 51.34% | 1116 | 125 | 143 | 0 | 1 | 0.56 | 3 | 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 | Thatcher Demko | 18 | 9 | 7 | 2 | 0.903 | 3.17 | 1099 | 0 | 1 | 58 | 599 | 333 | 0 | 0 | 0.800 | 15 | 18 | 1 | 3 | 1 | 1 | |
2 | Joey Daccord | 1 | 0 | 1 | 0 | 0.871 | 4.00 | 60 | 0 | 0 | 4 | 31 | 19 | 0 | 0 | 0.000 | 0 | 1 | 18 | 0 | 0 | 0 | |
Team Total or Average | 19 | 9 | 8 | 2 | 0.902 | 3.21 | 1159 | 0 | 1 | 62 | 630 | 352 | 0 | 0 | 0.800 | 15 | 19 | 19 | 3 | 1 | 1 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 1 | 2 | 0 | 0 | 30 | 16 | 7 | 7 | 0 | 21 | 17 | 7 | 24 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 22 | 13 | 20 | 8 | 16 | 8 | 100.0% | 10.0% | 100.0% | 110.0 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 5 | 10 | 0 | 0 | 1 | 2 | 2 | 0 | 25 | 11 | 9 | 5 | 0 | 35 | 9 | 12 | 21 | 0 | 0 | 0.00% | 6 | 3 | 50.00% | 1 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 20 | 10 | 20 | 9 | 19 | 9 | 55.6% | 20.0% | 80.0% | 100.0 | FUN | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 32 | 9 | 11 | 12 | 0 | 42 | 21 | 10 | 20 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 19 | 11 | 24 | 9 | 16 | 7 | 66.7% | 9.4% | 95.2% | 104.6 | LUCKY | |
4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 2 | 4 | 5 | 0 | 84 | 32 | 23 | 29 | 0 | 115 | 44 | 51 | 75 | 5 | 0 | 0.00% | 13 | 6 | 53.85% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 58 | 33 | 70 | 27 | 51 | 24 | 61.1% | 13.1% | 88.7% | 101.8 | FUN | |
5 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 67 | 20 | 26 | 19 | 6 | 74 | 22 | 9 | 50 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 43 | 24 | 44 | 18 | 36 | 18 | 50.0% | 9.0% | 93.2% | 102.2 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 31 | 14 | 13 | 4 | 0 | 30 | 13 | 10 | 14 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 22 | 12 | 20 | 8 | 17 | 8 | 28.6% | 6.5% | 80.0% | 86.5 | Unlucky | |
7 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 24 | 5 | 11 | 8 | 3 | 30 | 11 | 12 | 24 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 19 | 10 | 23 | 10 | 21 | 10 | 66.7% | 8.3% | 96.7% | 105.0 | DULL | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 26 | 7 | 11 | 8 | 0 | 31 | 8 | 8 | 22 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 21 | 11 | 21 | 9 | 17 | 7 | 20.0% | 11.5% | 87.1% | 98.6 | FUN | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 30 | 16 | 7 | 7 | 0 | 40 | 16 | 10 | 18 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 22 | 12 | 20 | 8 | 17 | 9 | 50.0% | 10.0% | 87.5% | 97.5 | FUN | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 7 | 11 | 11 | 0 | 35 | 10 | 4 | 20 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 21 | 12 | 22 | 8 | 16 | 7 | 0.0% | 3.4% | 88.6% | 92.0 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 3 | 0 | 33 | 14 | 8 | 11 | 0 | 24 | 10 | 21 | 28 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 23 | 12 | 17 | 9 | 18 | 9 | 85.7% | 21.2% | 95.8% | 117.0 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 21 | 9 | 8 | 4 | 0 | 32 | 8 | 6 | 17 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 21 | 11 | 20 | 9 | 18 | 9 | 40.0% | 19.0% | 81.3% | 100.3 | FUN | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 33 | 8 | 6 | 19 | 0 | 29 | 8 | 6 | 17 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 21 | 13 | 22 | 9 | 16 | 7 | 80.0% | 12.1% | 96.6% | 108.7 | LUCKY | |
14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 1 | 32 | 10 | 12 | 10 | 5 | 32 | 4 | 9 | 25 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 22 | 12 | 22 | 11 | 20 | 9 | 33.3% | 9.4% | 87.5% | 96.9 | FUN | |
15 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 0 | 2 | 2 | 1 | 65 | 11 | 31 | 23 | 3 | 60 | 24 | 8 | 43 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 43 | 26 | 44 | 18 | 36 | 17 | 50.0% | 7.7% | 91.7% | 99.4 | DULL | |
_Vs Division | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 11 | 21 | 0 | 0 | 1 | 4 | 4 | 1 | 90 | 22 | 40 | 28 | 3 | 95 | 33 | 20 | 64 | 2 | 1 | 50.00% | 10 | 4 | 60.00% | 1 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 63 | 37 | 65 | 27 | 55 | 27 | 52.9% | 11.1% | 87.4% | 98.5 | FUN | |
_Vs Conference | 10 | 2 | 6 | 0 | 0 | 0 | 2 | 0 | 30 | 42 | -12 | 8 | 0.400 | 30 | 42 | 72 | 0 | 0 | 4 | 12 | 12 | 2 | 279 | 89 | 106 | 84 | 6 | 337 | 119 | 103 | 214 | 16 | 2 | 12.50% | 39 | 11 | 71.79% | 2 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 207 | 118 | 222 | 91 | 180 | 87 | 47.5% | 10.8% | 87.5% | 98.3 | FUN | |
_Since Last GM Reset | 19 | 7 | 8 | 0 | 0 | 0 | 2 | 2 | 62 | 64 | -2 | 20 | 0.526 | 62 | 98 | 160 | 0 | 1 | 13 | 25 | 22 | 3 | 562 | 189 | 194 | 177 | 17 | 630 | 225 | 183 | 418 | 46 | 10 | 21.74% | 64 | 15 | 76.56% | 2 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 403 | 229 | 416 | 176 | 340 | 165 | 51.5% | 11.0% | 89.8% | 100.9 | FUN | |
Total | 19 | 7 | 8 | 0 | 0 | 0 | 2 | 2 | 62 | 64 | -2 | 20 | 0.526 | 62 | 98 | 160 | 0 | 1 | 13 | 25 | 22 | 3 | 562 | 189 | 194 | 177 | 17 | 630 | 225 | 183 | 418 | 46 | 10 | 21.74% | 64 | 15 | 76.56% | 2 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 403 | 229 | 416 | 176 | 340 | 165 | 51.5% | 11.0% | 89.8% | 100.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 407 |
Neutral Zone Start | 287 |
Defensive Zone Start | 415 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 573 |
Faceoffs Lost | 536 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 20.2 | 20.31 |
3rd Period | 29.5 | 30.68 |
Overtime | 30.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 10 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 2 |
Lost | 2 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 46 |
---|---|
PP Goal | 10 |
PK Attempt | 64 |
PK Goal Against | 15 |
Home | |
---|---|
Shots For | 29.6 |
Shots Against | 33.2 |
Goals For | 3.3 |
Goals Against | 3.4 |
Hits | 22.0 |
Shots Blocked | 11.8 |
Pim | 9.6 |
Projected Total Cap Hit | 78,325,699$ |
Projected Cap Space | 4,174,301$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 20,397,300$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Kings Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Lowry ![]() | C | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||
Andrew Cogliano ![]() | LW | 35 | 1,250,000$ | 1,250,000$ | |||||||
Anthony Cirelli ![]() | C/LW | 25 | 4,800,000$ | 4,800,000$ | |||||||
Colton Parayko ![]() | D | 29 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ |
Daniel Sprong ![]() | LW/RW | 25 | 750,000$ | 750,000$ | |||||||
David Savard ![]() | D | 31 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Filip Chytil ![]() | C/LW | 23 | 2,300,000$ | 2,300,000$ | |||||||
Ilya Lyubushkin ![]() | D | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Jack Quinn ![]() | LW/RW | 21 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | |||||
Jamie Benn ![]() | C/LW | 33 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |||||
Jani Hakanpaa ![]() | D | 30 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Joey Daccord ![]() | G | 26 | 750,000$ | 750,000$ | |||||||
K'Andre Miller ![]() | D | 22 | 925,000$ | 925,000$ | |||||||
Matt Nieto ![]() | LW/RW | 30 | 850,000$ | 850,000$ | |||||||
Nick Suzuki ![]() | C | 23 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ |
Nino Niederreiter ![]() | LW/RW | 30 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||||
Ryan Lindgren ![]() | D | 24 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Ryan Nugent-Hopkins ![]() | C/LW | 29 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | |
Thatcher Demko ![]() | G | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||
Valeri Nichushkin ![]() | LW/RW | 27 | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ |
Vinni Lettieri ![]() | C/RW | 27 | 750,000$ | 750,000$ | |||||||
William Nylander ![]() | LW/RW | 26 | 6,962,366$ | 6,962,366$ | 6,962,366$ |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 1 | 2 | 0 | 0 | 30 | 16 | 7 | 7 | 0 | 21 | 17 | 7 | 24 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 22 | 13 | 20 | 8 | 16 | 8 | 100.0% | 10.0% | 100.0% | 110.0 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 5 | 10 | 0 | 0 | 1 | 2 | 2 | 0 | 25 | 11 | 9 | 5 | 0 | 35 | 9 | 12 | 21 | 0 | 0 | 0.00% | 6 | 3 | 50.00% | 1 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 20 | 10 | 20 | 9 | 19 | 9 | 55.6% | 20.0% | 80.0% | 100.0 | FUN | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 32 | 9 | 11 | 12 | 0 | 42 | 21 | 10 | 20 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 19 | 11 | 24 | 9 | 16 | 7 | 66.7% | 9.4% | 95.2% | 104.6 | LUCKY | |
4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 2 | 4 | 5 | 0 | 84 | 32 | 23 | 29 | 0 | 115 | 44 | 51 | 75 | 5 | 0 | 0.00% | 13 | 6 | 53.85% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 58 | 33 | 70 | 27 | 51 | 24 | 61.1% | 13.1% | 88.7% | 101.8 | FUN | |
5 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 67 | 20 | 26 | 19 | 6 | 74 | 22 | 9 | 50 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 43 | 24 | 44 | 18 | 36 | 18 | 50.0% | 9.0% | 93.2% | 102.2 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 31 | 14 | 13 | 4 | 0 | 30 | 13 | 10 | 14 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 22 | 12 | 20 | 8 | 17 | 8 | 28.6% | 6.5% | 80.0% | 86.5 | Unlucky | |
7 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 1 | 24 | 5 | 11 | 8 | 3 | 30 | 11 | 12 | 24 | 0 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 19 | 10 | 23 | 10 | 21 | 10 | 66.7% | 8.3% | 96.7% | 105.0 | DULL | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 26 | 7 | 11 | 8 | 0 | 31 | 8 | 8 | 22 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 21 | 11 | 21 | 9 | 17 | 7 | 20.0% | 11.5% | 87.1% | 98.6 | FUN | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 30 | 16 | 7 | 7 | 0 | 40 | 16 | 10 | 18 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 22 | 12 | 20 | 8 | 17 | 9 | 50.0% | 10.0% | 87.5% | 97.5 | FUN | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 7 | 11 | 11 | 0 | 35 | 10 | 4 | 20 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 21 | 12 | 22 | 8 | 16 | 7 | 0.0% | 3.4% | 88.6% | 92.0 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 2 | 3 | 0 | 33 | 14 | 8 | 11 | 0 | 24 | 10 | 21 | 28 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 23 | 12 | 17 | 9 | 18 | 9 | 85.7% | 21.2% | 95.8% | 117.0 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 21 | 9 | 8 | 4 | 0 | 32 | 8 | 6 | 17 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 21 | 11 | 20 | 9 | 18 | 9 | 40.0% | 19.0% | 81.3% | 100.3 | FUN | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 33 | 8 | 6 | 19 | 0 | 29 | 8 | 6 | 17 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 21 | 13 | 22 | 9 | 16 | 7 | 80.0% | 12.1% | 96.6% | 108.7 | LUCKY | |
14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 1 | 32 | 10 | 12 | 10 | 5 | 32 | 4 | 9 | 25 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 22 | 12 | 22 | 11 | 20 | 9 | 33.3% | 9.4% | 87.5% | 96.9 | FUN | |
15 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 0 | 2 | 2 | 1 | 65 | 11 | 31 | 23 | 3 | 60 | 24 | 8 | 43 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 43 | 26 | 44 | 18 | 36 | 17 | 50.0% | 7.7% | 91.7% | 99.4 | DULL | |
_Vs Division | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 11 | 21 | 0 | 0 | 1 | 4 | 4 | 1 | 90 | 22 | 40 | 28 | 3 | 95 | 33 | 20 | 64 | 2 | 1 | 50.00% | 10 | 4 | 60.00% | 1 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 63 | 37 | 65 | 27 | 55 | 27 | 52.9% | 11.1% | 87.4% | 98.5 | FUN | |
_Vs Conference | 10 | 2 | 6 | 0 | 0 | 0 | 2 | 0 | 30 | 42 | -12 | 8 | 0.400 | 30 | 42 | 72 | 0 | 0 | 4 | 12 | 12 | 2 | 279 | 89 | 106 | 84 | 6 | 337 | 119 | 103 | 214 | 16 | 2 | 12.50% | 39 | 11 | 71.79% | 2 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 207 | 118 | 222 | 91 | 180 | 87 | 47.5% | 10.8% | 87.5% | 98.3 | FUN | |
_Since Last GM Reset | 19 | 7 | 8 | 0 | 0 | 0 | 2 | 2 | 62 | 64 | -2 | 20 | 0.526 | 62 | 98 | 160 | 0 | 1 | 13 | 25 | 22 | 3 | 562 | 189 | 194 | 177 | 17 | 630 | 225 | 183 | 418 | 46 | 10 | 21.74% | 64 | 15 | 76.56% | 2 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 403 | 229 | 416 | 176 | 340 | 165 | 51.5% | 11.0% | 89.8% | 100.9 | FUN | |
Total | 19 | 7 | 8 | 0 | 0 | 0 | 2 | 2 | 62 | 64 | -2 | 20 | 0.526 | 62 | 98 | 160 | 0 | 1 | 13 | 25 | 22 | 3 | 562 | 189 | 194 | 177 | 17 | 630 | 225 | 183 | 418 | 46 | 10 | 21.74% | 64 | 15 | 76.56% | 2 | 209 | 407 | 51.35% | 218 | 415 | 52.53% | 146 | 287 | 50.87% | 403 | 229 | 416 | 176 | 340 | 165 | 51.5% | 11.0% | 89.8% | 100.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 407 |
Neutral Zone Start | 287 |
Defensive Zone Start | 415 |
Puck Time | |
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With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 573 |
Faceoffs Lost | 536 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 20.2 | 20.31 |
3rd Period | 29.5 | 30.68 |
Overtime | 30.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 10 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 2 |
Lost | 2 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 46 |
---|---|
PP Goal | 10 |
PK Attempt | 64 |
PK Goal Against | 15 |
Home | |
---|---|
Shots For | 29.6 |
Shots Against | 33.2 |
Goals For | 3.3 |
Goals Against | 3.4 |
Hits | 22.0 |
Shots Blocked | 11.8 |
Pim | 9.6 |
Date | Matchup | Result | Detail | ||
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2023-10-07 | @ | Avalanche1,Kings2 (SO) | RECAP | ||
2023-10-10 | @ | Hurricanes4,Kings3 (SO) | RECAP | ||
2023-10-13 | @ | Kings1,Jets4 | RECAP | ||
2023-10-15 | @ | Kings4,Wild6 | RECAP | ||
2023-10-17 | @ | Bruins0,Kings3 | RECAP | ||
2023-10-20 | @ | Coyotes4,Kings5 | RECAP | ||
2023-10-23 | @ | Kings5,Coyotes4 | RECAP | ||
2023-10-24 | @ | Golden Knights3,Kings4 (SO) | RECAP | ||
2023-10-27 | @ | Kings3,Maple Leafs4 | RECAP | ||
2023-10-29 | @ | Kings4,Senators1 | RECAP | ||
2023-10-31 | @ | Kings2,Flyers3 (SO) | RECAP | ||
2023-11-04 | @ | Kings1,Golden Knights2 | RECAP | ||
2023-11-05 | @ | Penguins5,Kings3 | RECAP | ||
2023-11-07 | @ | Flyers2,Kings4 | RECAP | ||
2023-11-12 | @ | Panthers1,Kings7 | RECAP | ||
2023-11-14 | @ | Blues6,Kings2 | RECAP | ||
2023-11-16 | @ | Kings1,Coyotes5 | RECAP | ||
2023-11-20 | @ | Kings5,Ducks7 | RECAP | ||
2023-11-21 | @ | Canadiens2,Kings3 | RECAP | ||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,325,699$ | 0$ | 78,325,699$ | 4,174,301$ |
Arena | Goal Horn | About us | |
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![]() | Name | Crypto.com Arena | |
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 | 57518 | 46432 | 18702 | 37829 | 9587 |
Attendance PCT | 95.86% | 92.86% | 93.51% | 94.57% | 95.87% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
31 | 17007 - 94.48% | 614,826$ | 6,148,262$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,325,699$ | 78,325,699$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
20,397,300$ | 78,325,699$ | 20,397,300$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
19,059,612$ | 142 | 407,946$ | 57,928,332$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
60,863,261$ | 78,325,699$ | -437,488,066$ | -479,291,715$ |
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 |
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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 |
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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 |
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1 ballo la 2023 | |||||
Aleksandr Kisakov | 2021 | 60 | |||
Alexei Kolosov | 2021 | 71 | |||
Cameron O'Neill | 2022 | 154 | |||
Daniel Ljungman | 2020 | 156 | |||
Danil Savunov | 2019 | 182 | |||
Ethan Edwards | 2020 | 127 | |||
Hunter Mcdonald | 2022 | 177 | |||
Hunter Skinner | 2019 | 120 | |||
Isaac Ratcliffe | Link | ||||
Konnor Smith | 2023 | 102 | |||
Kyle Kukkonen | 2021 | 167 | |||
Liam Arnsby | 2022 | 218 | |||
Louis Crevier | 2020 | 189 | |||
Lukas Parik | 2019 | 89 | |||
Malcolm Subban | Link | ||||
Matthew Seminoff | 2022 | 186 | |||
Michael Emerson | 2023 | 201 | |||
Nico Gross | 2018 | 113 | |||
Oskar Back | 2018 | 82 | |||
Sandis Vilmanis | 2022 | 164 | |||
Santeri Airola | 2019 | 213 | |||
Scott Reedy | Link | ||||
Sean Tschigerl | 2021 | 136 | |||
Topias Vilen | 2021 | 135 | |||
Ville Koivunen | 2021 | 52 | |||
Vojtech Port | 2023 | 169 |
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