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Los Angeles Kings 20-27-6, 46pts · 15th in Western Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 1 | LW/RW | 100.00 | 70 | 42 | 85 | 83 | 64 | 89 | 90 | 81 | 59 | 79 | 77 | 65 | 80 | 71 | 73 | 64 | 75 | 0 | 27 | 7,875,000$/3yrs | |||
![]() | 91 | LW/RW | 99.00 | 73 | 38 | 89 | 84 | 90 | 87 | 88 | 79 | 58 | 74 | 85 | 78 | 81 | 83 | 78 | 49 | 75 | 0 | 33 | 7,250,000$/1yrs | |||
![]() | 84 | C | 99.25 | 70 | 38 | 84 | 75 | 78 | 89 | 90 | 73 | 84 | 77 | 70 | 83 | 71 | 78 | 75 | 62 | 75 | 0 | 31 | 5,800,000$/3yrs | |||
![]() | 37 | C/LW/RW | 100.00 | 64 | 37 | 87 | 75 | 72 | 90 | 89 | 73 | 77 | 79 | 71 | 87 | 70 | 72 | 71 | 62 | 75 | 0 | 29 | 5,300,000$/4yrs | |||
![]() | 99 | C | 100.00 | 60 | 36 | 95 | 87 | 66 | 92 | 90 | 86 | 78 | 82 | 91 | 66 | 88 | 73 | 78 | 53 | 75 | 0 | 28 | 11,000,000$/6yrs | |||
![]() | 73 | LW | 100.00 | 60 | 38 | 80 | 57 | 69 | 82 | 81 | 58 | 62 | 59 | 60 | 56 | 58 | 63 | 65 | 44 | 75 | 0 | 23 | 870,000$/1yrs | |||
![]() | 67 | LW | 99.25 | 75 | 40 | 76 | 67 | 73 | 84 | 88 | 66 | 67 | 62 | 64 | 61 | 65 | 63 | 66 | 44 | 75 | 0 | 23 | 859,167$/1yrs | |||
![]() | 78 | C | 98.75 | 58 | 38 | 88 | 61 | 84 | 67 | 80 | 59 | 66 | 59 | 56 | 57 | 59 | 61 | 61 | 70 | 75 | 0 | 20 | 870,000$/2yrs | |||
![]() | 76 | RW | 100.00 | 68 | 38 | 95 | 62 | 81 | 82 | 85 | 59 | 65 | 60 | 58 | 66 | 59 | 65 | 67 | 64 | 75 | 0 | 25 | 766,667$/1yrs | |||
![]() | 92 | C/LW/RW | 100.00 | 64 | 34 | 95 | 77 | 68 | 88 | 85 | 76 | 63 | 80 | 73 | 75 | 74 | 83 | 78 | 30 | 75 | 0 | 35 | 3,410,000$/1yrs | |||
![]() | 86 | LW/RW | 98.75 | 70 | 40 | 71 | 83 | 69 | 90 | 86 | 77 | 56 | 79 | 85 | 87 | 82 | 72 | 74 | 69 | 75 | 0 | 27 | 5,500,000$/1yrs | |||
![]() | 99 | LW/RW | 99.25 | 73 | 71 | 66 | 85 | 84 | 90 | 89 | 87 | 58 | 91 | 82 | 67 | 83 | 72 | 76 | 74 | 75 | 0 | 27 | 8,000,000$/1yrs | |||
![]() | 27 | D | 99.25 | 74 | 61 | 58 | 62 | 84 | 79 | 73 | 60 | 30 | 63 | 62 | 65 | 51 | 68 | 70 | 36 | 75 | 0 | 28 | 775,000$/2yrs | |||
![]() | 83 | D | 100.00 | 62 | 39 | 90 | 72 | 97 | 94 | 89 | 68 | 30 | 79 | 61 | 77 | 53 | 62 | 68 | 92 | 75 | 0 | 22 | 8,350,000$/7yrs | |||
![]() | 96 | D | 100.00 | 68 | 34 | 93 | 72 | 69 | 90 | 67 | 69 | 30 | 71 | 62 | 63 | 54 | 62 | 66 | 88 | 75 | 0 | 22 | 2,300,000$/2yrs | |||
![]() | 88 | D | 98.75 | 76 | 49 | 83 | 67 | 93 | 90 | 89 | 62 | 30 | 70 | 58 | 93 | 50 | 73 | 69 | 63 | 75 | 0 | 28 | 4,100,000$/3yrs | |||
![]() | 68 | D | 100.00 | 75 | 38 | 90 | 64 | 79 | 83 | 78 | 63 | 30 | 67 | 55 | 66 | 49 | 64 | 66 | 67 | 75 | 0 | 24 | 950,000$/1yrs | |||
![]() | 87 | D | 99.00 | 81 | 72 | 78 | 66 | 84 | 87 | 90 | 62 | 30 | 74 | 56 | 77 | 50 | 69 | 71 | 52 | 75 | 0 | 28 | 2,700,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 70 | D | 100.00 | 62 | 54 | 74 | 57 | 68 | 69 | 80 | 58 | 30 | 57 | 59 | 58 | 47 | 62 | 62 | 60 | 75 | 0 | 24 | ||||
![]() | 59 | D | 92.69 | 78 | 76 | 78 | 65 | 88 | 91 | 89 | 64 | 30 | 72 | 61 | 84 | 52 | 79 | 74 | 35 | 75 | 0 | 33 | 5,400,000$/2yrs | |||
TEAM AVERAGE | 99.00 | 69 | 46 | 83 | 71 | 78 | 86 | 85 | 69 | 52 | 72 | 67 | 72 | 64 | 70 | 70 | 59 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 73 | 72 | 68 | 88 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 66 | 75 | 55 | 75 | 0 | 26 | 775,000$/1yrs |
![]() | 97 | 97.50 | 78 | 85 | 81 | 95 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 64 | 71 | 74 | 75 | 0 | 24 | 825,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 70 | 71 | 67 | 81 | 69 | 68 | 70 | 69 | 68 | 70 | 69 | 67 | 75 | 62 | 75 | 0 | 27 | |
TEAM AVERAGE | 99.00 | 74 | 76 | 72 | 88 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 66 | 74 | 64 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 83 | 88 | 87 | 82 | 84 | 78 | 64 | CAN | 56 | 2 | 5,000,000$ |
General Manager | Tutelle |
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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 | Travis Konecny | 86 | LW/RW | 53 | 29 | 39 | 68 | 5 | 40 | 0 | 112 | 266 | 73 | 157 | 10.90% | 25 | 25.13 | 3 | 13 | 16 | 152 | 1 | 0 | 1 | 214 | 3 | 2 | 40.37% | 483 | 0 | 0 | 0 | 1 | 1.02 | 0 | 4 | ||
2 | Matthew Tkachuk | 99 | LW/RW | 53 | 23 | 28 | 51 | -2 | 42 | 0 | 104 | 203 | 55 | 147 | 11.33% | 8 | 19.53 | 6 | 14 | 20 | 156 | 0 | 2 | 2 | 211 | 4 | 0 | 46.60% | 103 | 0 | 0 | 0 | 0 | 0.99 | 2 | 4 | ||
3 | Phillip Danault | 84 | C | 53 | 15 | 32 | 47 | 5 | 41 | 5 | 95 | 157 | 44 | 123 | 9.55% | 8 | 19.53 | 1 | 8 | 9 | 165 | 2 | 2 | 4 | 158 | 1 | 0 | 52.13% | 1406 | 0 | 0 | 0 | 0 | 0.91 | 1 | 4 | ||
4 | Chris Kreider | 91 | LW/RW | 53 | 23 | 22 | 45 | 0 | 16 | 0 | 77 | 223 | 65 | 166 | 10.31% | 5 | 16.59 | 9 | 3 | 12 | 166 | 0 | 0 | 0 | 8 | 1 | 2 | 42.25% | 71 | 0 | 0 | 0 | 1 | 1.02 | 0 | 2 | ||
5 | Brayden Point | 99 | C | 42 | 16 | 21 | 37 | -5 | 2 | 0 | 12 | 167 | 50 | 108 | 9.58% | 6 | 16.81 | 4 | 6 | 10 | 92 | 0 | 0 | 0 | 8 | 4 | 0 | 49.70% | 670 | 0 | 0 | 0 | 0 | 1.05 | 2 | 2 | ||
6 | Brandon Carlo | 88 | D | 53 | 6 | 29 | 35 | 7 | 60 | 0 | 80 | 55 | 15 | 41 | 10.91% | 84 | 22.56 | 1 | 0 | 1 | 42 | 1 | 1 | 2 | 180 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
7 | J.T. Compher | 37 | C/LW/RW | 53 | 16 | 14 | 30 | -17 | 6 | 0 | 40 | 153 | 38 | 132 | 10.46% | 19 | 17.61 | 2 | 2 | 4 | 35 | 1 | 2 | 3 | 121 | 0 | 2 | 42.34% | 111 | 0 | 0 | 0 | 0 | 0.64 | 1 | 2 | ||
8 | Alex DeBrincat | 1 | LW/RW | 53 | 12 | 16 | 28 | 13 | 10 | 0 | 36 | 124 | 24 | 72 | 9.68% | 5 | 10.66 | 2 | 6 | 8 | 163 | 0 | 0 | 0 | 64 | 0 | 1 | 51.76% | 85 | 0 | 0 | 0 | 0 | 0.99 | 0 | 3 | ||
9 | Gustav Nyquist | 92 | C/LW/RW | 51 | 11 | 15 | 26 | -3 | 8 | 0 | 19 | 89 | 23 | 63 | 12.36% | 10 | 11.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 39.02% | 123 | 0 | 0 | 0 | 0 | 0.89 | 1 | 3 | ||
10 | Ben Chiarot | 59 | D | 45 | 3 | 18 | 21 | -4 | 56 | 0 | 61 | 57 | 24 | 39 | 5.26% | 53 | 21.52 | 2 | 5 | 7 | 126 | 0 | 2 | 2 | 146 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
11 | Will Borgen | 87 | D | 53 | 4 | 17 | 21 | -2 | 84 | 0 | 108 | 49 | 20 | 32 | 8.16% | 55 | 21.54 | 3 | 4 | 7 | 152 | 0 | 0 | 0 | 158 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
12 | Owen Power | 83 | D | 53 | 3 | 15 | 18 | -9 | 10 | 0 | 34 | 32 | 17 | 20 | 9.38% | 56 | 14.06 | 1 | 1 | 2 | 27 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
13 | Tye Kartye | 67 | LW | 53 | 5 | 5 | 10 | -18 | 50 | 0 | 115 | 46 | 8 | 41 | 10.87% | 4 | 14.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.90% | 49 | 0 | 0 | 1 | 0 | 0.25 | 0 | 1 | ||
14 | Jamie Drysdale | 96 | D | 50 | 1 | 9 | 10 | -6 | 26 | 0 | 40 | 28 | 11 | 24 | 3.57% | 42 | 17.04 | 0 | 4 | 4 | 126 | 0 | 0 | 0 | 78 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
15 | Jonas Rondbjerg | 76 | RW | 53 | 2 | 8 | 10 | 1 | 6 | 0 | 17 | 11 | 4 | 6 | 18.18% | 3 | 11.98 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 44.55% | 862 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
16 | Luke Toporowski | 73 | LW | 52 | 0 | 3 | 3 | 9 | 6 | 0 | 5 | 2 | 0 | 0 | 0.00% | 2 | 4.49 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 39.59% | 293 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
17 | Bryce McConnell-Barker | 78 | C | 25 | 0 | 2 | 2 | -17 | 0 | 0 | 11 | 11 | 3 | 7 | 0.00% | 1 | 16.86 | 0 | 0 | 0 | 36 | 0 | 0 | 0 | 4 | 0 | 0 | 44.02% | 527 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | ||
18 | Ty Emberson | 68 | D | 53 | 0 | 2 | 2 | -2 | 8 | 0 | 26 | 1 | 2 | 8 | 0.00% | 11 | 3.40 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
19 | Connor Mackey | 27 | D | 5 | 0 | 0 | 0 | -2 | 6 | 0 | 6 | 2 | 0 | 1 | 0.00% | 2 | 17.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 906 | 169 | 295 | 464 | -47 | 477 | 5 | 998 | 1676 | 476 | 1187 | 10.08% | 399 | 15.80 | 34 | 66 | 100 | 1473 | 5 | 9 | 14 | 1415 | 17 | 7 | 46.67% | 4783 | 0 | 0 | 1 | 2 | 0.65 | 7 | 25 |
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 | Mads Sogaard | Kings | 44 | 17 | 21 | 6 | 0.893 | 3.54 | 2574 | 6 | 0 | 152 | 1422 | 0 | 1 | 4 | 0.720 | 25 | 44 | 9 | 3 | 2 | 1 |
2 | Conor Murphy | Kings | 13 | 3 | 6 | 0 | 0.882 | 3.70 | 616 | 0 | 0 | 38 | 322 | 0 | 0 | 2 | 0.000 | 0 | 9 | 44 | 0 | 0 | 0 |
Team Total or Average | 57 | 20 | 27 | 6 | 0.891 | 3.57 | 3190 | 6 | 0 | 190 | 1744 | 0 | 1 | 6 | 0.720 | 25 | 53 | 53 | 3 | 2 | 1 |
Projected Total Cap Hit | 83,045,181$ |
Projected Cap Space | 4,954,819$ |
Retains And Buyout Cap Hit | 486,285$ |
Salary Cap To Date | 55,002,642$ |
Players In Salary Cap | 20 |
LTIR Players | 1 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Alex DeBrincat ![]() | LW/RW/G | 27 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | RFA | ||||
Ben Chiarot ![]() ![]() | D | 33 | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA | |||||
Brandon Carlo | D | 28 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | |||||
Brayden Point ![]() | C | 28 | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | UFA | |
Bryce McConnell-Barker ![]() | C | 20 | 870,000$ | 870,000$ | 870,000$ | ||||||
Chris Kreider ![]() | LW/RW/G | 33 | 7,250,000$ | 7,250,000$ | UFA | ||||||
Connor Mackey ![]() | D/G | 28 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Conor Murphy ![]() | RW/G | 26 | 775,000$ | 775,000$ | UFA | ||||||
Gustav Nyquist | C/LW/RW | 35 | 3,410,000$ | 3,410,000$ | UFA | ||||||
J.T. Compher ![]() | C/LW/RW/G | 29 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | UFA | |||
Jack LaFontaine ![]() | RW/G | 27 | 0$ | RFA | |||||||
Jamie Drysdale | D | 22 | 2,300,000$ | 2,300,000$ | 2,300,000$ | ||||||
Jonas Rondbjerg | RW | 25 | 766,667$ | 766,667$ | RFA | ||||||
Luke Toporowski ![]() | LW | 23 | 870,000$ | 870,000$ | RFA | ||||||
Mads Sogaard | RW/G | 24 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Matthew Tkachuk | LW/RW | 27 | 8,000,000$ | 8,000,000$ | RFA | ||||||
Owen Power | D/G | 22 | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | 8,350,000$ | |
Phillip Danault ![]() | C/G | 31 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA | ||||
Robert Calisti ![]() | D | 24 | 0$ | RFA | |||||||
Travis Konecny | LW/RW | 27 | 5,500,000$ | 5,500,000$ | RFA | ||||||
Ty Emberson | D | 24 | 950,000$ | 950,000$ | RFA | ||||||
Tye Kartye ![]() | LW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Will Borgen | D | 28 | 2,700,000$ | 2,700,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 14 | 7 | 6 | 0 | 21 | 9 | 8 | 24 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 1 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 21 | 13 | 24 | 8 | 14 | 7 | 100.0% | 7.4% | 95.2% | 102.6 | DULL | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 27 | 6 | 10 | 11 | 0 | 41 | 11 | 12 | 18 | 5 | 1 | 20.00% | 6 | 0 | 100.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 23 | 16 | 24 | 7 | 12 | 5 | 50.0% | 7.4% | 97.6% | 105.0 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 27 | 6 | 11 | 10 | 0 | 29 | 7 | 6 | 20 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 23 | 15 | 24 | 7 | 12 | 6 | 25.0% | 7.4% | 89.7% | 97.1 | Unlucky | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 6 | 10 | 1 | 0 | 2 | 0 | 2 | 0 | 65 | 28 | 17 | 20 | 0 | 65 | 23 | 12 | 40 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 45 | 31 | 49 | 14 | 25 | 12 | 28.6% | 6.2% | 83.1% | 89.2 | Unlucky | |
5 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 73 | 32 | 17 | 24 | 0 | 73 | 15 | 34 | 41 | 7 | 2 | 28.57% | 17 | 6 | 64.71% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 50 | 33 | 45 | 14 | 26 | 12 | 62.5% | 9.6% | 87.7% | 97.3 | FUN | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 63 | 24 | 22 | 17 | 0 | 53 | 13 | 12 | 32 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 48 | 32 | 46 | 14 | 25 | 12 | 33.3% | 4.8% | 86.8% | 91.6 | Unlucky | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 3 | 0 | 86 | 32 | 29 | 25 | 0 | 57 | 17 | 22 | 39 | 8 | 2 | 25.00% | 11 | 2 | 81.82% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 51 | 36 | 44 | 14 | 24 | 10 | 40.0% | 7.0% | 86.0% | 92.9 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 25 | 7 | 12 | 6 | 0 | 38 | 10 | 18 | 23 | 4 | 2 | 50.00% | 8 | 3 | 62.50% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 21 | 13 | 25 | 7 | 12 | 5 | 50.0% | 12.0% | 89.5% | 101.5 | FUN | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 69 | 30 | 18 | 21 | 0 | 85 | 20 | 28 | 45 | 6 | 1 | 16.67% | 12 | 2 | 83.33% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 44 | 30 | 50 | 15 | 24 | 12 | 20.0% | 4.3% | 88.2% | 92.6 | Unlucky | |
10 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 1 | 0.250 | 7 | 14 | 21 | 0 | 0 | 3 | 2 | 2 | 0 | 66 | 28 | 16 | 21 | 1 | 77 | 14 | 12 | 51 | 8 | 1 | 12.50% | 5 | 2 | 60.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 46 | 32 | 48 | 15 | 26 | 13 | 42.9% | 10.6% | 87.0% | 97.6 | FUN | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 65 | 21 | 19 | 25 | 0 | 58 | 17 | 17 | 34 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 48 | 34 | 47 | 14 | 24 | 12 | 33.3% | 7.7% | 86.2% | 93.9 | Unlucky | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 4 | 2 | 3 | 0 | 68 | 20 | 31 | 17 | 0 | 63 | 27 | 26 | 21 | 6 | 3 | 50.00% | 13 | 3 | 76.92% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 47 | 33 | 47 | 14 | 24 | 11 | 60.0% | 13.2% | 88.9% | 102.1 | FUN | |
13 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 8 | 6 | 6 | 1.000 | 14 | 24 | 38 | 0 | 0 | 1 | 6 | 6 | 1 | 97 | 31 | 34 | 29 | 3 | 105 | 26 | 22 | 75 | 5 | 1 | 20.00% | 11 | 1 | 90.91% | 1 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 67 | 46 | 77 | 21 | 37 | 18 | 65.0% | 14.4% | 92.4% | 106.8 | LUCKY | |
14 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 10 | -3 | 1 | 0.250 | 7 | 13 | 20 | 0 | 0 | 2 | 3 | 2 | 1 | 68 | 18 | 26 | 23 | 9 | 62 | 20 | 20 | 34 | 8 | 3 | 37.50% | 10 | 4 | 60.00% | 1 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 49 | 34 | 48 | 14 | 26 | 13 | 40.0% | 10.3% | 83.9% | 94.2 | FUN | |
15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 8 | 7 | 10 | 6 | 36 | 11 | 10 | 13 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 26 | 17 | 23 | 7 | 14 | 6 | 50.0% | 10.7% | 88.9% | 99.6 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 4 | 0 | 0 | 41 | 10 | 15 | 16 | 0 | 27 | 13 | 8 | 11 | 8 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 25 | 17 | 22 | 6 | 12 | 6 | 80.0% | 9.8% | 92.6% | 102.3 | LUCKY | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0.500 | 10 | 19 | 29 | 0 | 0 | 2 | 3 | 5 | 0 | 59 | 14 | 12 | 33 | 0 | 65 | 16 | 28 | 28 | 8 | 1 | 12.50% | 14 | 4 | 71.43% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 44 | 30 | 49 | 16 | 25 | 11 | 60.0% | 16.9% | 84.6% | 101.6 | FUN | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 1 | 2 | 1 | 0 | 62 | 20 | 16 | 26 | 0 | 64 | 30 | 16 | 48 | 6 | 1 | 16.67% | 8 | 2 | 75.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 41 | 27 | 52 | 14 | 25 | 11 | 27.3% | 6.5% | 84.4% | 90.8 | Unlucky | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 0 | 4 | 0 | 36 | 8 | 11 | 17 | 0 | 32 | 9 | 8 | 24 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 21 | 14 | 25 | 8 | 13 | 6 | 62.5% | 13.9% | 90.6% | 104.5 | FUN | |
20 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 1 | 0 | 2 | 2 | 1 | 3 | 71 | 30 | 17 | 22 | 8 | 65 | 11 | 18 | 44 | 5 | 1 | 20.00% | 9 | 1 | 88.89% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 45 | 30 | 54 | 15 | 25 | 12 | 45.5% | 8.5% | 89.2% | 97.7 | Unlucky | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 2 | 6 | 2 | 0 | 72 | 16 | 26 | 30 | 0 | 53 | 18 | 8 | 53 | 10 | 3 | 30.00% | 4 | 1 | 75.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 48 | 33 | 45 | 15 | 25 | 13 | 63.6% | 13.9% | 90.6% | 104.5 | FUN | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 2 | 1.000 | 8 | 14 | 22 | 0 | 0 | 4 | 0 | 4 | 0 | 29 | 11 | 11 | 7 | 0 | 24 | 3 | 4 | 10 | 7 | 2 | 28.57% | 2 | 0 | 100.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 24 | 17 | 22 | 7 | 13 | 6 | 66.7% | 27.6% | 87.5% | 115.1 | FUN | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 0 | 1 | 3 | 0 | 61 | 20 | 12 | 29 | 0 | 80 | 22 | 28 | 42 | 8 | 1 | 12.50% | 14 | 1 | 92.86% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 46 | 30 | 48 | 15 | 24 | 12 | 33.3% | 6.6% | 91.3% | 97.8 | DULL | |
24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 60 | 26 | 16 | 18 | 0 | 79 | 18 | 16 | 47 | 6 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 45 | 30 | 49 | 15 | 25 | 12 | 50.0% | 6.7% | 92.4% | 99.1 | DULL | |
25 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 29 | 9 | 10 | 10 | 0 | 36 | 7 | 12 | 23 | 2 | 1 | 50.00% | 6 | 1 | 83.33% | 1 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 22 | 15 | 24 | 7 | 13 | 6 | 44.4% | 17.2% | 83.3% | 100.6 | FUN | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 2 | 0.500 | 11 | 22 | 33 | 0 | 0 | 5 | 1 | 5 | 0 | 74 | 28 | 22 | 24 | 0 | 57 | 12 | 14 | 33 | 10 | 3 | 30.00% | 7 | 0 | 100.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 50 | 35 | 43 | 14 | 25 | 13 | 57.1% | 14.9% | 89.5% | 104.3 | FUN | |
27 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 3 | 4 | 2 | 0 | 72 | 19 | 18 | 35 | 0 | 72 | 16 | 30 | 50 | 6 | 2 | 33.33% | 14 | 2 | 85.71% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 42 | 27 | 51 | 14 | 26 | 13 | 70.0% | 12.5% | 93.1% | 105.6 | LUCKY | |
28 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 16 | 24 | 1 | 0 | 2 | 4 | 2 | 0 | 94 | 35 | 23 | 36 | 0 | 101 | 25 | 22 | 60 | 12 | 3 | 25.00% | 11 | 1 | 90.91% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 71 | 48 | 70 | 22 | 38 | 18 | 33.3% | 8.5% | 89.1% | 97.6 | Unlucky | |
29 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 4 | 1 | 3 | 3 | 62 | 23 | 14 | 22 | 11 | 63 | 19 | 16 | 41 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 50 | 33 | 46 | 15 | 28 | 14 | 66.7% | 14.5% | 90.5% | 105.0 | FUN | |
30 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 3 | 6 | 1 | 0 | 0 | 0 | 3 | 0 | 61 | 23 | 11 | 27 | 0 | 69 | 14 | 24 | 41 | 10 | 0 | 0.00% | 11 | 5 | 54.55% | 0 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 45 | 30 | 49 | 14 | 24 | 12 | 37.5% | 4.9% | 85.5% | 90.4 | Unlucky | |
_Vs Division | 16 | 4 | 10 | 0 | 1 | 0 | 1 | 0 | 45 | 66 | -21 | 12 | 0.375 | 45 | 73 | 118 | 4 | 0 | 11 | 13 | 19 | 4 | 510 | 190 | 133 | 181 | 14 | 552 | 157 | 140 | 350 | 51 | 7 | 13.73% | 65 | 14 | 78.46% | 1 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 366 | 247 | 395 | 117 | 204 | 100 | 42.2% | 8.8% | 88.0% | 96.9 | Unlucky | |
_Vs Conference | 27 | 7 | 16 | 0 | 1 | 1 | 1 | 1 | 77 | 105 | -28 | 20 | 0.370 | 77 | 135 | 212 | 4 | 0 | 28 | 20 | 27 | 4 | 848 | 314 | 234 | 290 | 21 | 920 | 244 | 223 | 555 | 94 | 12 | 12.77% | 102 | 20 | 80.39% | 1 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 630 | 428 | 657 | 200 | 346 | 171 | 43.3% | 9.1% | 88.6% | 97.7 | FUN | |
_Since Last GM Reset | 53 | 17 | 27 | 0 | 1 | 4 | 2 | 2 | 177 | 198 | -21 | 46 | 0.434 | 177 | 318 | 495 | 6 | 0 | 58 | 55 | 61 | 8 | 1737 | 597 | 510 | 617 | 38 | 1750 | 473 | 511 | 1065 | 198 | 37 | 18.69% | 243 | 50 | 79.42% | 5 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 1244 | 845 | 1282 | 397 | 680 | 333 | 48.6% | 10.2% | 88.7% | 98.9 | FUN | |
Total | 53 | 17 | 27 | 0 | 1 | 4 | 2 | 2 | 177 | 198 | -21 | 46 | 0.434 | 177 | 318 | 495 | 6 | 0 | 58 | 55 | 61 | 8 | 1737 | 597 | 510 | 617 | 38 | 1750 | 473 | 511 | 1065 | 198 | 37 | 18.69% | 243 | 50 | 79.42% | 5 | 938 | 1961 | 47.83% | 905 | 1910 | 47.38% | 389 | 880 | 44.20% | 1244 | 845 | 1282 | 397 | 680 | 333 | 48.6% | 10.2% | 88.7% | 98.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 1961 |
Neutral Zone Start | 880 |
Defensive Zone Start | 1910 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2232 |
Faceoffs Lost | 2519 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.3 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 33.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 129 |
---|---|
PP Goal | 37 |
PK Goal | 5 |
Empty Net Goal | 6 |
Home | Away | |
---|---|---|
Win | 7 | 13 |
Lost | 12 | 15 |
Overtime Lost | 3 | 3 |
PP Attempt | 198 |
---|---|
PP Goal | 37 |
PK Attempt | 243 |
PK Goal Against | 50 |
Home | |
---|---|
Shots For | 32.8 |
Shots Against | 33.0 |
Goals For | 3.3 |
Goals Against | 3.7 |
Hits | 20.1 |
Shots Blocked | 8.9 |
Pim | 9.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-10 | @ | Kings5,Sabres2 | RECAP | |||||||||||
2024-10-12 | @ | Kings2,Bruins1 | RECAP | |||||||||||
2024-10-14 | @ | Kings1,Senators3 | RECAP | |||||||||||
2024-10-16 | @ | Kings2,Maple Leafs3 | RECAP | |||||||||||
2024-10-17 | @ | Kings7,Canadiens4 | RECAP | |||||||||||
2024-10-20 | @ | Kings2,Ducks4 | RECAP | |||||||||||
2024-10-22 | @ | Kings5,Golden Knights3 | RECAP | |||||||||||
2024-10-24 | @ | Sharks4,Kings2 | RECAP | |||||||||||
2024-10-26 | @ | Hockey Club3,Kings8 | RECAP | |||||||||||
2024-10-29 | @ | Kings3,Sharks5 | RECAP | |||||||||||
2024-10-30 | @ | Golden Knights3,Kings4 (SO) | RECAP | |||||||||||
2024-11-02 | @ | Blackhawks4,Kings3 (SO) | RECAP | |||||||||||
2024-11-04 | @ | Kings0,Predators1 | RECAP | |||||||||||
2024-11-05 | @ | Kings3,Wild1 | RECAP | |||||||||||
2024-11-07 | @ | Canucks5,Kings0 | RECAP | |||||||||||
2024-11-09 | @ | Blue Jackets3,Kings4 (SO) | RECAP | |||||||||||
2024-11-11 | @ | Kings5,Flames3 | RECAP | |||||||||||
2024-11-13 | @ | Kings2,Avalanche1 | RECAP | |||||||||||
2024-11-16 | @ | Red Wings2,Kings8 | RECAP | |||||||||||
2024-11-20 | @ | Sabres5,Kings4 | RECAP | |||||||||||
2024-11-23 | @ | Kraken3,Kings1 | RECAP | |||||||||||
2024-11-25 | @ | Kings3,Sharks2 | RECAP | |||||||||||
2024-11-27 | @ | Jets5,Kings3 | RECAP | |||||||||||
2024-11-29 | @ | Kings1,Ducks6 | RECAP | |||||||||||
2024-11-30 | @ | Senators4,Kings3 | RECAP | |||||||||||
2024-12-04 | @ | Stars3,Kings2 | RECAP | |||||||||||
2024-12-07 | @ | Wild5,Kings1 | RECAP | |||||||||||
2024-12-10 | @ | Kings5,Islanders3 | RECAP | |||||||||||
2024-12-12 | @ | Kings3,Devils5 | RECAP | |||||||||||
2024-12-14 | @ | Kings5,Rangers6 (OT) | RECAP | |||||||||||
2024-12-17 | @ | Kings3,Penguins4 | RECAP | |||||||||||
2024-12-19 | @ | Kings2,Flyers3 (OT) | RECAP | |||||||||||
2024-12-21 | @ | Kings3,Predators6 | RECAP | |||||||||||
2024-12-22 | @ | Kings3,Capitals4 | RECAP | |||||||||||
2024-12-28 | @ | Oilers5,Kings3 | RECAP | |||||||||||
2024-12-29 | @ | Flyers6,Kings5 (OT) | RECAP | |||||||||||
2025-01-01 | @ | Devils5,Kings4 (SO) | RECAP | |||||||||||
2025-01-04 | @ | Lightning1,Kings4 | RECAP | |||||||||||
2025-01-08 | @ | Flames1,Kings4 | RECAP | |||||||||||
2025-01-10 | @ | Kings4,Jets5 (OT) | RECAP | |||||||||||
2025-01-11 | @ | Kings5,Flames4 (OT) | RECAP | |||||||||||
2025-01-13 | @ | Kings1,Oilers5 | RECAP | |||||||||||
2025-01-16 | @ | Kings4,Canucks6 | RECAP | |||||||||||
2025-01-18 | @ | Kings2,Kraken7 | RECAP | |||||||||||
2025-01-20 | @ | Penguins4,Kings3 | RECAP | |||||||||||
2025-01-22 | @ | Panthers3,Kings5 | RECAP | |||||||||||
2025-01-25 | @ | Kings2,Blue Jackets4 | RECAP | |||||||||||
2025-01-27 | @ | Kings3,Red Wings4 | RECAP | |||||||||||
2025-01-29 | @ | Kings5,Panthers2 | RECAP | |||||||||||
2025-01-30 | @ | Kings5,Lightning4 | RECAP | |||||||||||
2025-02-01 | @ | Kings4,Hurricanes2 | RECAP | |||||||||||
2025-02-05 | @ | Canadiens6,Kings3 | RECAP | |||||||||||
2025-02-07 | @ | Stars5,Kings3 | RECAP | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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2025-03-11 | @ | |||||||||||||
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2025-03-22 | @ | |||||||||||||
2025-03-23 | @ | |||||||||||||
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2025-03-27 | @ | |||||||||||||
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2025-04-01 | @ | |||||||||||||
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2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
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2025-04-15 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,675,834$ | 486,285$ | 83,045,181$ | 4,954,819$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Staples Center | |
City | Los Angeles | ||
Capacity | 18118 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
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![]() |
Arena Capacity | 6000 | 5000 | 2118 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 122656 | 103694 | 46596 | 81156 | 21971 |
Attendance PCT | 92.92% | 94.27% | 100.00% | 92.22% | 99.87% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
19 | 17094 - 94.35% | 2,139,096$ | 47,060,122$ | 18118 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,675,834$ | 78,275,834$ | 0$ | 486,285$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
58,683,238$ | 399,366$ | 55,002,642$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
40,642,833$ | 69 | 452,428$ | 31,217,532$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
32,025,372$ | 83,045,181$ | 143,959,552$ | 153,973,284$ |
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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2025 | |||||||
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2027 | |||||||
2028 | |||||||
2029 |
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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 |
---|---|---|---|---|---|
Brody Lamb | 2021 | 110 | |||
Carson Wetsch | 2024 | 84 | |||
Ethan Hay | 2023 | 176 | |||
Fyodor Avramov | 2024 | 207 | |||
Hagen Burrows | 2024 | 97 | |||
Jonathan Morello | 2024 | 114 | |||
Kristian Roykas Marthinsen | |||||
Lucas Wallmark | Link | ||||
Lukas Hes | 2023 | 186 | |||
Matt Copponi | 2023 | 192 | |||
Matthew Steinburg | 2019 | 80 | |||
Ondrej Kos | 2024 | 124 | |||
Simon Knak | 2021 | 193 | |||
Topias Hynninen | 2024 | 224 | |||
Tyler Peddle | 2023 | 122 | |||
Victor Sjoholm | 2023 | 212 | |||
Will McIsaac | 2024 | 178 | |||
Zion Nybeck | 2020 | 32 | ELC 2022-23 (slide) | Link |
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