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Los Angeles Kings 10-5-1, 21pts · 4th in Western Conference |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 67 | 50 | 73 | 81 | 74 | 87 | 86 | 85 | 74 | 78 | 76 | 71 | 81 | 80 | 70 | 1 | 83 | 0 | 30 | 2,666,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 80 | 60 | 75 | 75 | 81 | 83 | 89 | 82 | 74 | 78 | 73 | 71 | 77 | 83 | 73 | 1 | 84 | 0 | 30 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 82 | 50 | 73 | 75 | 85 | 84 | 85 | 81 | 40 | 69 | 76 | 71 | 77 | 78 | 68 | 1 | 83 | 0 | 28 | 1,500,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 56 | 40 | 75 | 69 | 83 | 82 | 76 | 69 | 40 | 63 | 66 | 60 | 68 | 86 | 76 | 1 | 83 | 0 | 33 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 45 | 84 | 84 | 79 | 84 | 80 | 81 | 66 | 75 | 74 | 70 | 80 | 60 | 53 | 1 | 83 | 0 | 22 | 2,900,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 55 | 69 | 75 | 89 | 87 | 81 | 82 | 63 | 78 | 74 | 71 | 77 | 65 | 55 | 1 | 73 | 0 | 22 | 3,362,500$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 40 | 88 | 75 | 84 | 90 | 85 | 85 | 40 | 79 | 76 | 74 | 79 | 85 | 75 | 1 | 83 | 0 | 28 | 9,000,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 45 | 85 | 75 | 77 | 83 | 86 | 80 | 40 | 77 | 71 | 67 | 75 | 80 | 70 | 1 | 83 | 0 | 27 | 2,879,000$/3yrs | |||
![]() | 0 | C/LW | 96.00 | 79 | 61 | 70 | 76 | 79 | 88 | 94 | 87 | 71 | 84 | 79 | 72 | 81 | 89 | 85 | 1 | 83 | 0 | 32 | 8,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 86 | 81 | 58 | 71 | 86 | 85 | 90 | 75 | 55 | 74 | 67 | 73 | 71 | 87 | 83 | 1 | 85 | 0 | 32 | 3,100,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 55 | 73 | 75 | 87 | 84 | 88 | 76 | 86 | 69 | 71 | 84 | 74 | 80 | 70 | 1 | 83 | 0 | 29 | 2,800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 74 | 58 | 65 | 78 | 87 | 88 | 86 | 89 | 73 | 81 | 83 | 72 | 83 | 75 | 65 | 1 | 83 | 0 | 25 | 8,500,000$/8yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 45 | 81 | 78 | 79 | 88 | 85 | 85 | 60 | 82 | 74 | 69 | 79 | 78 | 68 | 1 | 76 | 0 | 26 | 8,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 50 | 72 | 75 | 79 | 87 | 92 | 77 | 40 | 73 | 65 | 79 | 72 | 89 | 79 | 1 | 83 | 0 | 33 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 56 | 66 | 83 | 79 | 88 | 93 | 82 | 40 | 75 | 69 | 90 | 78 | 88 | 78 | 1 | 67 | 0 | 33 | 3,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 58 | 64 | 75 | 87 | 89 | 90 | 82 | 40 | 76 | 69 | 91 | 75 | 85 | 75 | 1 | 83 | 0 | 31 | 3,222,000$/7yrs | |||
![]() | 0 | D | 100.00 | 54 | 40 | 66 | 71 | 61 | 67 | 67 | 65 | 40 | 64 | 60 | 67 | 65 | 58 | 50 | 1 | 82 | 0 | 28 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 50 | 76 | 72 | 88 | 86 | 90 | 71 | 40 | 65 | 60 | 84 | 68 | 85 | 75 | 1 | 88 | 0 | 31 | 2,499,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 61 | 66 | 79 | 75 | 89 | 84 | 77 | 40 | 78 | 62 | 83 | 73 | 75 | 65 | 1 | 81 | 0 | 27 | 4,025,175$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 50 | 76 | 74 | 90 | 94 | 88 | 82 | 40 | 78 | 66 | 88 | 74 | 80 | 76 | 1 | 83 | 0 | 30 | 6,500,000$/7yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.80 | 72 | 53 | 73 | 76 | 81 | 86 | 86 | 80 | 53 | 75 | 71 | 75 | 75 | 79 | 70 | 1 | 82 | 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 | 78 | 87 | 88 | 74 | 90 | 88 | 86 | 87 | 87 | 85 | 85 | 95 | 88 | 1 | 83 | 0 | 39 | 3,500,000$/1yrs |
![]() | 0 | 100.00 | 69 | 55 | 55 | 66 | 64 | 64 | 65 | 63 | 65 | 63 | 50 | 52 | 50 | 1 | 83 | 0 | 24 | 850,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 71 | 72 | 70 | 77 | 76 | 76 | 75 | 76 | 74 | 68 | 74 | 69 | 1 | 83 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Lindy Ruff | 75 | 90 | 92 | 88 | 95 | 95 | 1 | CAN | 63 | 2 | 1,000,000$ |
General Manager | Hugo St-Amours |
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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 | Pierre-Luc Dubois | 0 | C | 16 | 8 | 10 | 18 | 6 | 4 | 0 | 22 | 59 | 18 | 40 | 13.56% | 4 | 16.49 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 15 | 0 | 0 | 57.55% | 212 | 11 | 4 | 0 | 0 | 1.36 | 0 | 0 | ||
2 | Mathew Barzal | 0 | C/RW | 16 | 10 | 8 | 18 | 4 | 0 | 0 | 19 | 50 | 26 | 38 | 20.00% | 8 | 19.46 | 4 | 0 | 4 | 26 | 0 | 0 | 0 | 17 | 2 | 1 | 41.70% | 247 | 14 | 6 | 0 | 0 | 1.16 | 0 | 0 | ||
3 | Valeri Nichushkin | 0 | LW/RW | 16 | 9 | 7 | 16 | 7 | 0 | 0 | 14 | 44 | 15 | 26 | 20.45% | 4 | 16.87 | 1 | 2 | 3 | 20 | 0 | 0 | 0 | 13 | 3 | 1 | 25.00% | 12 | 13 | 4 | 0 | 0 | 1.19 | 1 | 1 | ||
4 | Brayden Schenn | 0 | C/LW | 16 | 4 | 8 | 12 | 4 | 7 | 5 | 39 | 57 | 22 | 30 | 7.02% | 6 | 20.57 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 16 | 1 | 0 | 49.60% | 250 | 9 | 1 | 0 | 0 | 0.73 | 0 | 0 | ||
5 | Scott Mayfield | 0 | D | 16 | 1 | 10 | 11 | 5 | 14 | 0 | 33 | 15 | 9 | 10 | 6.67% | 22 | 22.43 | 1 | 1 | 2 | 25 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 10 | 12 | 0 | 0 | 0.61 | 0 | 0 | ||
6 | Evan Rodrigues | 0 | C/LW | 16 | 6 | 2 | 8 | -5 | 4 | 0 | 26 | 55 | 11 | 21 | 10.91% | 5 | 16.55 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 27 | 4 | 0 | 57.45% | 94 | 10 | 3 | 0 | 0 | 0.60 | 0 | 0 | ||
7 | Stefan Noesen | 0 | LW/RW | 16 | 0 | 8 | 8 | -5 | 17 | 15 | 25 | 30 | 12 | 21 | 0.00% | 4 | 15.81 | 0 | 3 | 3 | 18 | 0 | 0 | 0 | 35 | 0 | 0 | 58.82% | 17 | 7 | 8 | 0 | 0 | 0.63 | 0 | 0 | ||
8 | Dmitry Kulikov | 0 | D | 16 | 0 | 8 | 8 | 4 | 9 | 5 | 20 | 20 | 11 | 8 | 0.00% | 20 | 24.29 | 0 | 3 | 3 | 25 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 3 | 13 | 0 | 0 | 0.41 | 0 | 0 | ||
9 | Sonny Milano | 0 | LW/RW | 16 | 5 | 2 | 7 | -1 | 9 | 5 | 11 | 24 | 10 | 14 | 20.83% | 8 | 12.61 | 1 | 1 | 2 | 14 | 0 | 0 | 0 | 0 | 0 | 1 | 30.77% | 13 | 3 | 4 | 1 | 0 | 0.69 | 0 | 0 | ||
10 | Alex Newhook | 0 | C/LW | 16 | 4 | 2 | 6 | -3 | 5 | 5 | 9 | 31 | 5 | 21 | 12.90% | 8 | 10.97 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 44.44% | 72 | 4 | 2 | 0 | 0 | 0.68 | 0 | 0 | ||
11 | Kirby Dach | 0 | C/RW | 11 | 2 | 4 | 6 | -5 | 26 | 10 | 14 | 15 | 6 | 17 | 13.33% | 5 | 15.73 | 1 | 1 | 2 | 13 | 0 | 0 | 0 | 25 | 0 | 0 | 45.33% | 75 | 7 | 3 | 0 | 0 | 0.69 | 0 | 0 | ||
12 | Colton Parayko | 0 | D | 16 | 1 | 5 | 6 | -8 | 6 | 0 | 22 | 14 | 6 | 8 | 7.14% | 16 | 18.52 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 6 | 16 | 0 | 0 | 0.40 | 0 | 0 | ||
13 | Marcus Foligno | 0 | LW/RW | 16 | 3 | 2 | 5 | -1 | 30 | 10 | 31 | 12 | 1 | 4 | 25.00% | 6 | 13.21 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 3 | 4 | 0 | 0 | 0.47 | 0 | 0 | ||
14 | Radek Faksa | 0 | C/LW | 16 | 2 | 3 | 5 | 5 | 15 | 5 | 21 | 19 | 2 | 11 | 10.53% | 4 | 12.22 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 1 | 0 | 0 | 60.00% | 5 | 4 | 4 | 0 | 0 | 0.51 | 0 | 0 | ||
15 | Marcus Pettersson | 0 | D | 16 | 0 | 4 | 4 | -8 | 28 | 10 | 27 | 21 | 12 | 5 | 0.00% | 13 | 19.18 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 6 | 9 | 0 | 0 | 0.26 | 0 | 0 | ||
16 | Patrik Nemeth | 0 | D | 15 | 0 | 3 | 3 | 7 | 4 | 0 | 18 | 8 | 5 | 4 | 0.00% | 9 | 17.76 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 2 | 7 | 0 | 0 | 0.23 | 0 | 0 | ||
17 | Travis Hamonic | 0 | D | 7 | 1 | 1 | 2 | 2 | 6 | 0 | 16 | 8 | 4 | 1 | 12.50% | 14 | 23.47 | 1 | 0 | 1 | 12 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 3 | 6 | 0 | 0 | 0.24 | 0 | 0 | ||
18 | Jordan Gross | 0 | D | 11 | 0 | 1 | 1 | 1 | 7 | 5 | 4 | 0 | 1 | 1 | 0.00% | 6 | 13.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 4 | 0 | 0 | 0.13 | 0 | 0 | ||
19 | William Carrier | 0 | LW | 16 | 0 | 0 | 0 | -2 | 0 | 0 | 20 | 14 | 3 | 9 | 0.00% | 4 | 7.29 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 0 | 0 | 50.00% | 2 | 5 | 2 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Alex Chiasson | 0 | RW | 16 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 1 | 0 | 0 | 0.00% | 0 | 2.00 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 300 | 56 | 88 | 144 | 5 | 191 | 75 | 394 | 497 | 179 | 289 | 11.27% | 166 | 15.76 | 9 | 15 | 24 | 270 | 0 | 0 | 0 | 347 | 10 | 3 | 48.72% | 1014 | 120 | 112 | 1 | 0 | 0.61 | 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 |
# | 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 | Marc-Andre Fleury | 15 | 10 | 4 | 1 | 0.904 | 2.99 | 904 | 0 | 0 | 45 | 470 | 210 | 0 | 0 | 0.000 | 0 | 15 | 1 | 1 | 0 | 1 | |
2 | Michael DiPietro | 1 | 0 | 1 | 0 | 0.867 | 4.00 | 60 | 0 | 0 | 4 | 30 | 18 | 0 | 0 | 0.000 | 0 | 1 | 15 | 0 | 0 | 0 | |
Team Total or Average | 16 | 10 | 5 | 1 | 0.902 | 3.05 | 964 | 0 | 0 | 49 | 500 | 228 | 0 | 0 | 0.000 | 0 | 16 | 16 | 1 | 0 | 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 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 1 | 2 | 1 | 68 | 16 | 27 | 24 | 1 | 54 | 24 | 20 | 55 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 47 | 28 | 40 | 16 | 34 | 18 | 54.5% | 10.3% | 90.7% | 101.0 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 3 | 17 | 9 | 0 | 34 | 16 | 4 | 25 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 19 | 11 | 23 | 9 | 17 | 7 | 20.0% | 3.4% | 88.2% | 91.7 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 35 | 10 | 11 | 14 | 0 | 29 | 14 | 11 | 29 | 4 | 3 | 75.00% | 3 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 21 | 13 | 21 | 9 | 16 | 8 | 40.0% | 14.3% | 89.7% | 103.9 | FUN | |
4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 1 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 1 | 1 | 4 | 0 | 69 | 15 | 24 | 30 | 0 | 65 | 18 | 27 | 48 | 6 | 2 | 33.33% | 6 | 1 | 83.33% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 43 | 26 | 43 | 18 | 34 | 16 | 50.0% | 8.7% | 92.3% | 101.0 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 0 | 3 | 3 | 0 | 31 | 5 | 10 | 16 | 0 | 22 | 10 | 21 | 27 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 21 | 12 | 21 | 9 | 17 | 7 | 83.3% | 19.4% | 95.5% | 114.8 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 21 | 3 | 5 | 13 | 0 | 37 | 9 | 12 | 18 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 18 | 10 | 25 | 10 | 15 | 6 | 42.9% | 14.3% | 86.5% | 100.8 | FUN | |
7 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 2 | 3 | 2 | 2 | 63 | 23 | 23 | 14 | 3 | 66 | 26 | 27 | 51 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 45 | 27 | 42 | 17 | 34 | 17 | 53.8% | 14.3% | 89.4% | 103.7 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 30 | 4 | 15 | 11 | 0 | 26 | 12 | 16 | 27 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 20 | 11 | 22 | 9 | 16 | 8 | 75.0% | 10.0% | 96.2% | 106.2 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 31 | 7 | 15 | 9 | 0 | 25 | 3 | 2 | 26 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 20 | 13 | 22 | 9 | 16 | 7 | 57.1% | 12.9% | 88.0% | 100.9 | FUN | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 2 | 3 | 2 | 0 | 65 | 17 | 24 | 24 | 0 | 73 | 15 | 41 | 36 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 41 | 24 | 44 | 18 | 34 | 16 | 58.3% | 10.8% | 91.8% | 102.6 | LUCKY | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 6 | 11 | 0 | 0 | 0 | 3 | 2 | 0 | 55 | 17 | 15 | 23 | 0 | 69 | 19 | 10 | 52 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 39 | 22 | 46 | 18 | 34 | 15 | 35.7% | 9.1% | 87.0% | 96.0 | FUN | |
_Vs Division | 9 | 4 | 2 | 0 | 3 | 0 | 0 | 0 | 33 | 28 | 5 | 14 | 0.778 | 33 | 53 | 86 | 0 | 0 | 6 | 10 | 14 | 3 | 282 | 77 | 106 | 95 | 4 | 269 | 98 | 86 | 240 | 25 | 6 | 24.00% | 23 | 1 | 95.65% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 195 | 116 | 196 | 78 | 153 | 76 | 50.0% | 11.7% | 89.6% | 101.3 | FUN | |
_Vs Conference | 11 | 4 | 4 | 0 | 3 | 0 | 0 | 0 | 37 | 37 | 0 | 14 | 0.636 | 37 | 58 | 95 | 0 | 0 | 7 | 11 | 16 | 3 | 332 | 83 | 128 | 117 | 4 | 340 | 123 | 102 | 283 | 25 | 6 | 24.00% | 31 | 2 | 93.55% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 232 | 137 | 245 | 98 | 186 | 90 | 47.0% | 11.1% | 89.1% | 100.3 | FUN | |
_Since Last GM Reset | 16 | 7 | 5 | 0 | 3 | 1 | 0 | 0 | 56 | 49 | 7 | 21 | 0.656 | 56 | 88 | 144 | 0 | 0 | 10 | 18 | 25 | 3 | 497 | 120 | 186 | 187 | 4 | 500 | 166 | 191 | 394 | 36 | 9 | 25.00% | 48 | 4 | 91.67% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 338 | 201 | 354 | 145 | 272 | 130 | 51.1% | 11.3% | 90.2% | 101.5 | FUN | |
Total | 16 | 7 | 5 | 0 | 3 | 1 | 0 | 0 | 56 | 49 | 7 | 21 | 0.656 | 56 | 88 | 144 | 0 | 0 | 10 | 18 | 25 | 3 | 497 | 120 | 186 | 187 | 4 | 500 | 166 | 191 | 394 | 36 | 9 | 25.00% | 48 | 4 | 91.67% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 338 | 201 | 354 | 145 | 272 | 130 | 51.1% | 11.3% | 90.2% | 101.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 364 |
Neutral Zone Start | 250 |
Defensive Zone Start | 389 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 494 |
Faceoffs Lost | 509 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.5 | 9.57 |
2nd Period | 19.1 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 47 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 6 |
Lost | 2 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 36 |
---|---|
PP Goal | 9 |
PK Attempt | 48 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 31.3 |
Goals For | 3.5 |
Goals Against | 3.1 |
Hits | 24.6 |
Shots Blocked | 10.4 |
Pim | 11.9 |
Projected Total Cap Hit | 80,078,675$ |
Projected Cap Space | 4,921,325$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 15,191,914$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Chiasson ![]() | RW | 33 | 750,000$ | 750,000$ | UFA | ||||||
Alex Newhook ![]() | C/LW | 22 | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | RFA | |||
Brayden Schenn ![]() | C/LW | 32 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Colton Parayko | D | 30 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA |
Dmitry Kulikov | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Evan Rodrigues | C/LW | 30 | 2,666,000$ | 2,666,000$ | 2,666,000$ | 2,666,000$ | 2,666,000$ | UFA | |||
Jordan Gross ![]() | D | 28 | 950,000$ | 950,000$ | |||||||
Kirby Dach ![]() | C/RW | 22 | 3,362,500$ | 3,362,500$ | 3,362,500$ | 3,362,500$ | RFA | ||||
Marc-Andre Fleury | G | 39 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Marcus Foligno | LW/RW | 32 | 3,100,000$ | 3,100,000$ | UFA | ||||||
Marcus Pettersson | D | 27 | 4,025,175$ | 4,025,175$ | 4,025,175$ | ||||||
Mathew Barzal ![]() | C/RW | 26 | 8,000,000$ | 8,000,000$ | RFA | ||||||
Michael DiPietro ![]() | G | 24 | 850,000$ | 925,000$ | RFA | ||||||
Patrik Nemeth | D | 31 | 2,499,000$ | 2,499,000$ | UFA | ||||||
Pierre-Luc Dubois ![]() | C | 25 | 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$ |
Radek Faksa | C/LW | 29 | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | |||||
Scott Mayfield ![]() | D | 31 | 3,222,000$ | 3,222,000$ | 3,222,000$ | 3,222,000$ | 3,222,000$ | 3,222,000$ | 3,222,000$ | 3,222,000$ | UFA |
Sonny Milano ![]() | LW/RW | 27 | 2,879,000$ | 2,879,000$ | 2,879,000$ | 2,879,000$ | |||||
Stefan Noesen ![]() | LW/RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Travis Hamonic | D | 33 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Valeri Nichushkin | LW/RW | 28 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |
William Carrier ![]() | LW | 28 | 1,500,000$ | 1,500,000$ |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
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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 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 1 | 2 | 1 | 68 | 16 | 27 | 24 | 1 | 54 | 24 | 20 | 55 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 47 | 28 | 40 | 16 | 34 | 18 | 54.5% | 10.3% | 90.7% | 101.0 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 3 | 17 | 9 | 0 | 34 | 16 | 4 | 25 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 19 | 11 | 23 | 9 | 17 | 7 | 20.0% | 3.4% | 88.2% | 91.7 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 35 | 10 | 11 | 14 | 0 | 29 | 14 | 11 | 29 | 4 | 3 | 75.00% | 3 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 21 | 13 | 21 | 9 | 16 | 8 | 40.0% | 14.3% | 89.7% | 103.9 | FUN | |
4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 1 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 1 | 1 | 4 | 0 | 69 | 15 | 24 | 30 | 0 | 65 | 18 | 27 | 48 | 6 | 2 | 33.33% | 6 | 1 | 83.33% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 43 | 26 | 43 | 18 | 34 | 16 | 50.0% | 8.7% | 92.3% | 101.0 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 0 | 3 | 3 | 0 | 31 | 5 | 10 | 16 | 0 | 22 | 10 | 21 | 27 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 21 | 12 | 21 | 9 | 17 | 7 | 83.3% | 19.4% | 95.5% | 114.8 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 1 | 1 | 0 | 21 | 3 | 5 | 13 | 0 | 37 | 9 | 12 | 18 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 18 | 10 | 25 | 10 | 15 | 6 | 42.9% | 14.3% | 86.5% | 100.8 | FUN | |
7 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 2 | 3 | 2 | 2 | 63 | 23 | 23 | 14 | 3 | 66 | 26 | 27 | 51 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 45 | 27 | 42 | 17 | 34 | 17 | 53.8% | 14.3% | 89.4% | 103.7 | FUN | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 30 | 4 | 15 | 11 | 0 | 26 | 12 | 16 | 27 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 20 | 11 | 22 | 9 | 16 | 8 | 75.0% | 10.0% | 96.2% | 106.2 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 31 | 7 | 15 | 9 | 0 | 25 | 3 | 2 | 26 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 20 | 13 | 22 | 9 | 16 | 7 | 57.1% | 12.9% | 88.0% | 100.9 | FUN | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 2 | 3 | 2 | 0 | 65 | 17 | 24 | 24 | 0 | 73 | 15 | 41 | 36 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 41 | 24 | 44 | 18 | 34 | 16 | 58.3% | 10.8% | 91.8% | 102.6 | LUCKY | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 6 | 11 | 0 | 0 | 0 | 3 | 2 | 0 | 55 | 17 | 15 | 23 | 0 | 69 | 19 | 10 | 52 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 39 | 22 | 46 | 18 | 34 | 15 | 35.7% | 9.1% | 87.0% | 96.0 | FUN | |
_Vs Division | 9 | 4 | 2 | 0 | 3 | 0 | 0 | 0 | 33 | 28 | 5 | 14 | 0.778 | 33 | 53 | 86 | 0 | 0 | 6 | 10 | 14 | 3 | 282 | 77 | 106 | 95 | 4 | 269 | 98 | 86 | 240 | 25 | 6 | 24.00% | 23 | 1 | 95.65% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 195 | 116 | 196 | 78 | 153 | 76 | 50.0% | 11.7% | 89.6% | 101.3 | FUN | |
_Vs Conference | 11 | 4 | 4 | 0 | 3 | 0 | 0 | 0 | 37 | 37 | 0 | 14 | 0.636 | 37 | 58 | 95 | 0 | 0 | 7 | 11 | 16 | 3 | 332 | 83 | 128 | 117 | 4 | 340 | 123 | 102 | 283 | 25 | 6 | 24.00% | 31 | 2 | 93.55% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 232 | 137 | 245 | 98 | 186 | 90 | 47.0% | 11.1% | 89.1% | 100.3 | FUN | |
_Since Last GM Reset | 16 | 7 | 5 | 0 | 3 | 1 | 0 | 0 | 56 | 49 | 7 | 21 | 0.656 | 56 | 88 | 144 | 0 | 0 | 10 | 18 | 25 | 3 | 497 | 120 | 186 | 187 | 4 | 500 | 166 | 191 | 394 | 36 | 9 | 25.00% | 48 | 4 | 91.67% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 338 | 201 | 354 | 145 | 272 | 130 | 51.1% | 11.3% | 90.2% | 101.5 | FUN | |
Total | 16 | 7 | 5 | 0 | 3 | 1 | 0 | 0 | 56 | 49 | 7 | 21 | 0.656 | 56 | 88 | 144 | 0 | 0 | 10 | 18 | 25 | 3 | 497 | 120 | 186 | 187 | 4 | 500 | 166 | 191 | 394 | 36 | 9 | 25.00% | 48 | 4 | 91.67% | 0 | 171 | 364 | 46.98% | 194 | 389 | 49.87% | 129 | 250 | 51.60% | 338 | 201 | 354 | 145 | 272 | 130 | 51.1% | 11.3% | 90.2% | 101.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 364 |
Neutral Zone Start | 250 |
Defensive Zone Start | 389 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 494 |
Faceoffs Lost | 509 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.5 | 9.57 |
2nd Period | 19.1 | 20.31 |
3rd Period | 30.8 | 30.68 |
Overtime | 31.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 47 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 6 |
Lost | 2 | 3 |
Overtime Lost | 1 | 0 |
PP Attempt | 36 |
---|---|
PP Goal | 9 |
PK Attempt | 48 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 31.1 |
Shots Against | 31.3 |
Goals For | 3.5 |
Goals Against | 3.1 |
Hits | 24.6 |
Shots Blocked | 10.4 |
Pim | 11.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-10 | VS | LAK4,ANA3 (OT) | RECAP | |||||||||||
2023-10-12 | VS | VAN3,LAK5 | RECAP | |||||||||||
2023-10-14 | VS | VGS5,LAK6 (OT) | RECAP | |||||||||||
2023-10-17 | VS | LAK3,VGS2 (OT) | RECAP | |||||||||||
2023-10-20 | VS | TBL3,LAK2 | RECAP | |||||||||||
2023-10-23 | VS | LAK3,DAL5 | RECAP | |||||||||||
2023-10-26 | VS | PIT4,LAK3 (OT) | RECAP | |||||||||||
2023-10-28 | VS | LAK2,SJS4 | RECAP | |||||||||||
2023-10-31 | VS | LAK6,NYI1 | RECAP | |||||||||||
2023-11-04 | VS | ANA2,LAK3 | RECAP | |||||||||||
2023-11-09 | VS | SJS5,LAK3 | RECAP | |||||||||||
2023-11-12 | VS | LAK5,TBL3 | RECAP | |||||||||||
2023-11-14 | VS | LAK1,COL4 | RECAP | |||||||||||
2023-11-16 | VS | PIT1,LAK3 | RECAP | |||||||||||
2023-11-18 | VS | LAK3,CGY1 | RECAP | |||||||||||
2023-11-20 | VS | LAK4,EDM3 | RECAP | |||||||||||
2023-11-23 | VS | |||||||||||||
2023-11-28 | VS | |||||||||||||
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2024-03-23 | VS | |||||||||||||
2024-03-26 | VS | |||||||||||||
2024-03-28 | VS | |||||||||||||
2024-04-01 | VS | |||||||||||||
2024-04-03 | VS | |||||||||||||
2024-04-07 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-04-11 | VS | |||||||||||||
2024-04-13 | VS | |||||||||||||
2024-04-14 | VS | |||||||||||||
2024-04-17 | VS | |||||||||||||
2024-04-19 | VS | |||||||||||||
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2024-04-26 | VS | |||||||||||||
2024-04-30 | VS | |||||||||||||
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2024-05-06 | VS | |||||||||||||
2024-05-08 | VS | |||||||||||||
2024-05-13 | VS | |||||||||||||
2024-05-16 | VS | |||||||||||||
2024-05-19 | VS | |||||||||||||
2024-05-21 | VS | |||||||||||||
2024-05-27 | VS | |||||||||||||
2024-05-28 | VS | |||||||||||||
2024-06-02 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,078,675$ | 0$ | 80,078,675$ | 4,921,325$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Staples Center | |
City | Los Angeles | ||
Capacity | 18118 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2118 | 4000 | 1000 |
Ticket Price | 120$ | 71$ | 70$ | 40$ | 225$ |
Attendance | 41336 | 35000 | 14826 | 27839 | 6078 |
Attendance PCT | 98.42% | 100.00% | 100.00% | 99.43% | 86.83% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
34 | 17868 - 98.62% | 1,957,902$ | 13,705,312$ | 18118 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,078,675$ | 80,003,675$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
15,382,772$ | 80,078,675$ | 15,191,914$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
66,568,658$ | 195 | 336,426$ | 65,603,070$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
66,407,265$ | 80,078,675$ | 93,007,258$ | 97,771,111$ |
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 |
---|---|---|---|---|---|
2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Benjamin Roger | |||||
Bogdan Trineyev | |||||
Dylan Garand | |||||
Jared Mcisaac | |||||
Jeff Zatkoff | Link | ||||
Joni Ikonen | |||||
William Stromgren |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Benjamin Roger | |||||
Bogdan Trineyev | |||||
Dylan Garand | |||||
Jared Mcisaac | |||||
Jeff Zatkoff | Link | ||||
Joni Ikonen | |||||
William Stromgren |
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