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Full Scoreboard »» |
Los Angeles Kings 43-30-2, 88pts · 7th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 86 | C/LW | 98.00 | 55 | 32 | 95 | 89 | 68 | 90 | 87 | 82 | 72 | 86 | 86 | 57 | 84 | 64 | 73 | 0 | 57 | 90 | 23 | 8,000,000$/6yrs | |||
![]() | 11 | LW/RW | 100.00 | 76 | 45 | 52 | 83 | 67 | 91 | 90 | 81 | 60 | 77 | 88 | 75 | 84 | 72 | 68 | 0 | 79 | 89 | 28 | 5,500,000$/9yrs | |||
![]() | 14 | C | 99.00 | 76 | 33 | 77 | 76 | 83 | 88 | 89 | 77 | 89 | 75 | 77 | 80 | 77 | 72 | 70 | 0 | 79 | 86 | 28 | 5,250,000$/5yrs | |||
![]() | 13 | C/LW/RW | 100.00 | 73 | 32 | 91 | 80 | 67 | 87 | 88 | 75 | 60 | 75 | 82 | 74 | 79 | 64 | 63 | 0 | 79 | 86 | 23 | 6,250,000$/4yrs | |||
![]() | 0 | LW | 99.00 | 70 | 35 | 67 | 73 | 66 | 87 | 89 | 74 | 60 | 78 | 76 | 70 | 75 | 87 | 99 | 0 | 36 | 85 | 36 | 6,125,000$/3yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 65 | 33 | 74 | 78 | 76 | 85 | 88 | 77 | 59 | 81 | 77 | 54 | 77 | 72 | 70 | 0 | 71 | 85 | 28 | 8,500,000$/8yrs | |||
![]() | 15 | C/LW | 100.00 | 68 | 32 | 92 | 76 | 74 | 87 | 90 | 70 | 86 | 70 | 74 | 75 | 72 | 64 | 63 | 0 | 79 | 81 | 23 | 5,000,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 32 | 92 | 60 | 74 | 80 | 90 | 62 | 58 | 58 | 69 | 89 | 66 | 81 | 80 | 0 | 79 | 78 | 33 | 3,500,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 34 | 79 | 62 | 76 | 81 | 90 | 65 | 61 | 65 | 66 | 71 | 65 | 79 | 88 | 0 | 33 | 77 | 32 | 2,000,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 85 | 34 | 87 | 71 | 94 | 85 | 90 | 63 | 56 | 77 | 56 | 68 | 60 | 59 | 58 | 0 | 79 | 77 | 21 | 950,000$/9yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 38 | 71 | 62 | 72 | 79 | 79 | 64 | 75 | 64 | 65 | 67 | 65 | 61 | 59 | 0 | 79 | 74 | 22 | 863,333$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 34 | 92 | 63 | 86 | 75 | 90 | 56 | 80 | 61 | 59 | 84 | 58 | 64 | 64 | 0 | 66 | 74 | 24 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 35 | 81 | 76 | 79 | 97 | 88 | 73 | 30 | 84 | 75 | 71 | 74 | 83 | 99 | 0 | 79 | 90 | 34 | 9,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 69 | 37 | 87 | 76 | 86 | 94 | 86 | 70 | 30 | 82 | 60 | 68 | 65 | 76 | 89 | 0 | 77 | 86 | 31 | 7,500,000$/6yrs | |||
![]() | 5 | D | 100.00 | 71 | 34 | 68 | 66 | 87 | 93 | 84 | 65 | 30 | 69 | 65 | 77 | 65 | 73 | 84 | 0 | 79 | 81 | 29 | 7,500,000$/7yrs | |||
![]() | 0 | D | 98.00 | 73 | 35 | 83 | 62 | 87 | 91 | 89 | 65 | 30 | 71 | 64 | 74 | 65 | 83 | 93 | 0 | 27 | 81 | 34 | 6,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 46 | 78 | 57 | 99 | 88 | 89 | 65 | 30 | 63 | 59 | 86 | 62 | 78 | 76 | 0 | 79 | 79 | 32 | 3,475,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 35 | 69 | 55 | 79 | 84 | 84 | 59 | 30 | 61 | 58 | 78 | 59 | 82 | 79 | 0 | 79 | 75 | 34 | 1,100,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 63 | 57 | 65 | 56 | 84 | 76 | 86 | 63 | 55 | 62 | 66 | 53 | 65 | 91 | 88 | 0 | 32 | 74 | 39 | 1,275,000$/1yrs | |||
TEAM AVERAGE | 99.63 | 71 | 36 | 79 | 70 | 79 | 86 | 88 | 69 | 55 | 72 | 70 | 72 | 69 | 74 | 77 | 0 | 67 | 81 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 90 | 95 | 83 | 76 | 89 | 80 | 89 | 91 | 88 | 91 | 89 | 74 | 78 | 0 | 59 | 90 | 29 | 5,666,667$/9yrs |
![]() | 0 | 98.00 | 73 | 83 | 76 | 84 | 75 | 71 | 78 | 85 | 79 | 83 | 78 | 86 | 90 | 0 | 62 | 84 | 37 | 1,600,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 82 | 89 | 80 | 80 | 82 | 76 | 84 | 88 | 84 | 87 | 84 | 80 | 84 | 0 | 61 | 87 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 83 | 88 | 90 | 90 | 86 | 78 | 75 | CAN | 55 | 5 | 1,000,000$ |
General Manager | Yannick Vézina-Roy |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Travis Konecny | 11 | LW/RW | 75 | 39 | 39 | 78 | 10 | 74 | 10 | 248 | 396 | 123 | 292 | 9.85% | 12 | 18.95 | 7 | 13 | 20 | 254 | 0 | 0 | 0 | 0 | 3 | 3 | 34.86% | 109 | 0 | 0 | 0 | 1 | 1.10 | 1 | 5 | |
2 | Joel Eriksson Ek | 14 | C | 75 | 28 | 46 | 74 | 12 | 46 | 0 | 117 | 306 | 90 | 226 | 9.15% | 23 | 19.55 | 6 | 15 | 21 | 235 | 0 | 0 | 0 | 146 | 5 | 2 | 53.83% | 1895 | 0 | 0 | 0 | 0 | 1.01 | 0 | 2 | |
3 | Brad Marchand | 0 | LW | 76 | 25 | 34 | 59 | -9 | 35 | 5 | 110 | 237 | 69 | 185 | 10.55% | 19 | 19.40 | 7 | 13 | 20 | 232 | 0 | 0 | 0 | 138 | 4 | 1 | 42.98% | 114 | 0 | 0 | 1 | 0 | 0.80 | 0 | 4 | |
4 | Roman Josi | 0 | D | 75 | 12 | 44 | 56 | 14 | 32 | 0 | 71 | 150 | 45 | 99 | 8.00% | 85 | 22.96 | 7 | 11 | 18 | 265 | 0 | 0 | 0 | 219 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 2 | |
5 | Seth Jarvis | 13 | C/LW/RW | 75 | 23 | 33 | 56 | -4 | 10 | 0 | 38 | 230 | 59 | 160 | 10.00% | 12 | 16.25 | 7 | 14 | 21 | 259 | 0 | 0 | 0 | 1 | 3 | 1 | 48.23% | 423 | 0 | 0 | 0 | 0 | 0.92 | 1 | 1 | |
6 | Jack Hughes | 86 | C/LW | 72 | 20 | 32 | 52 | 8 | 4 | 0 | 11 | 237 | 59 | 173 | 8.44% | 9 | 17.78 | 2 | 3 | 5 | 48 | 0 | 0 | 0 | 64 | 4 | 1 | 45.26% | 1498 | 0 | 0 | 0 | 0 | 0.81 | 1 | 2 | |
7 | Morgan Rielly | 0 | D | 75 | 12 | 40 | 52 | 7 | 47 | 5 | 102 | 100 | 44 | 71 | 12.00% | 82 | 24.32 | 7 | 8 | 15 | 235 | 0 | 1 | 1 | 195 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
8 | Mattias Ekholm | 0 | D | 76 | 5 | 43 | 48 | 6 | 80 | 0 | 149 | 123 | 42 | 71 | 4.07% | 102 | 23.61 | 0 | 4 | 4 | 263 | 0 | 1 | 1 | 247 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
9 | Kevin Fiala | 0 | C/LW/RW | 75 | 21 | 20 | 41 | 7 | 26 | 0 | 91 | 158 | 54 | 142 | 13.29% | 5 | 19.99 | 7 | 6 | 13 | 262 | 0 | 0 | 0 | 19 | 0 | 1 | 48.36% | 122 | 0 | 0 | 0 | 0 | 0.55 | 1 | 5 | |
10 | Aaron Ekblad | 5 | D | 75 | 3 | 36 | 39 | 2 | 88 | 0 | 159 | 92 | 34 | 75 | 3.26% | 95 | 21.69 | 2 | 10 | 12 | 225 | 0 | 0 | 0 | 113 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
11 | Travis Hamonic | 0 | D | 75 | 11 | 20 | 31 | 7 | 86 | 0 | 152 | 83 | 39 | 61 | 13.25% | 102 | 21.27 | 6 | 4 | 10 | 212 | 0 | 0 | 0 | 249 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
12 | Anton Lundell | 15 | C/LW | 75 | 12 | 19 | 31 | -4 | 10 | 0 | 26 | 160 | 44 | 107 | 7.50% | 9 | 14.48 | 1 | 5 | 6 | 99 | 1 | 0 | 1 | 312 | 1 | 0 | 50.48% | 1464 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
13 | Juraj Slafkovsky | 0 | LW | 75 | 8 | 19 | 27 | 8 | 26 | 0 | 116 | 102 | 33 | 86 | 7.84% | 10 | 16.56 | 1 | 3 | 4 | 188 | 0 | 0 | 0 | 0 | 1 | 0 | 39.08% | 87 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
14 | Brandon Tanev | 0 | LW/RW | 75 | 12 | 12 | 24 | 6 | 42 | 0 | 80 | 114 | 35 | 69 | 10.53% | 21 | 12.51 | 0 | 0 | 0 | 8 | 0 | 1 | 1 | 323 | 4 | 0 | 32.56% | 86 | 0 | 0 | 2 | 0 | 0.51 | 2 | 4 | |
15 | Jordan Martinook | 0 | C/LW/RW | 78 | 5 | 15 | 20 | -6 | 22 | 0 | 61 | 129 | 50 | 99 | 3.88% | 17 | 15.60 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 260 | 0 | 1 | 44.24% | 556 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
16 | Jamie Oleksiak | 0 | D | 75 | 4 | 15 | 19 | 11 | 108 | 10 | 138 | 66 | 15 | 32 | 6.06% | 117 | 17.23 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 251 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
17 | Ridly Greig | 0 | C/LW | 75 | 4 | 10 | 14 | -2 | 20 | 0 | 88 | 71 | 12 | 47 | 5.63% | 7 | 10.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0 | 1 | 45.28% | 53 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
18 | Corey Perry | 0 | RW | 70 | 5 | 6 | 11 | -3 | 27 | 5 | 50 | 41 | 9 | 37 | 12.20% | 2 | 9.84 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 47.74% | 597 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
19 | John Beecher | 0 | C | 65 | 5 | 4 | 9 | 3 | 12 | 0 | 23 | 66 | 14 | 42 | 7.58% | 6 | 7.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.47% | 527 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
Team Total or Average | 1412 | 254 | 487 | 741 | 73 | 795 | 35 | 1830 | 2861 | 870 | 2074 | 8.88% | 735 | 17.46 | 61 | 109 | 170 | 2809 | 1 | 3 | 4 | 2665 | 35 | 12 | 48.73% | 7531 | 0 | 0 | 3 | 1 | 0.60 | 6 | 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 | Igor Shesterkin | 64 | 34 | 21 | 6 | 0.909 | 2.77 | 3657 | 6 | 3 | 169 | 1847 | 0 | 5 | 3 | 0.774 | 31 | 64 | 7 | 6 | 3 | 3 | |
2 | James Reimer | 19 | 10 | 9 | 0 | 0.905 | 2.80 | 1095 | 4 | 1 | 51 | 538 | 0 | 0 | 1 | 0.000 | 0 | 18 | 49 | 3 | 0 | 0 | |
Team Total or Average | 83 | 44 | 30 | 6 | 0.908 | 2.78 | 4753 | 10 | 4 | 220 | 2385 | 0 | 5 | 4 | 0.774 | 31 | 82 | 56 | 9 | 3 | 3 |
Projected Total Cap Hit | 87,808,378$ |
Projected Cap Space | 191,622$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 79,965,114$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Kings Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad ![]() | D | 29 | 7,500,000$ | 7,500,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Anton Lundell ![]() | C/LW | 23 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |
Brad Marchand ![]() | LW | 36 | 6,125,000$ | 6,125,000$ | 3,850,000$ | 3,850,000$ | UFA | ||||
Brandon Tanev ![]() | LW/RW | 33 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Corey Perry ![]() | RW | 39 | 1,275,000$ | 1,275,000$ | UFA | ||||||
Igor Shesterkin | G | 29 | 5,666,667$ | 5,666,667$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ |
Jack Hughes ![]() | C/LW | 23 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |
James Reimer | G | 37 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Jamie Oleksiak ![]() | D | 32 | 3,475,000$ | 3,475,000$ | UFA | ||||||
Joel Eriksson Ek ![]() | C | 28 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||
John Beecher ![]() | C | 24 | 925,000$ | 925,000$ | RFA | ||||||
Jordan Martinook ![]() | C/LW/RW | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Juraj Slafkovsky ![]() | LW | 21 | 950,000$ | 950,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ |
Kevin Fiala ![]() | C/LW/RW | 28 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ |
Mattias Ekholm ![]() | D | 34 | 6,100,000$ | 6,100,000$ | UFA | ||||||
Morgan Rielly ![]() | D | 31 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | |
Ridly Greig ![]() | C/LW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Roman Josi ![]() | D | 34 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | |||
Seth Jarvis ![]() | C/LW/RW | 23 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | ||||
Travis Hamonic ![]() | D | 34 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Travis Konecny ![]() | LW/RW | 28 | 5,500,000$ | 5,500,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Jefferies ![]() | LW | 23 | 775,000$ | 775,000$ | RFA | ||||||
Alexei Melnichuk ![]() | G | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Bear Hughes ![]() | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Brett Brochu ![]() | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
Brinson Pasichnuk ![]() | D | 27 | 0$ | ![]() | |||||||
Emil Heineman ![]() | LW | 23 | 897,500$ | 897,500$ | RFA | ||||||
German Rubtsov ![]() | C | 26 | 850,000$ | 850,000$ | ![]() | ||||||
Jack Dugan ![]() | LW/RW | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Jani Nyman ![]() | LW/RW | 20 | 923,333$ | 923,333$ | 923,333$ | RFA | |||||
Jaret Anderson-Dolan ![]() | C | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Jordan Papirny ![]() | G | 29 | 775,000$ | 775,000$ | UFA | ||||||
Josiah Didier ![]() | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Kai Schwindt ![]() | LW | 21 | 800,000$ | 800,000$ | RFA | ||||||
Kristian Vesalainen ![]() | LW/RW | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Lukas Rousek ![]() | RW | 25 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Mackenzie MacEachern ![]() | LW/RW | 31 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Mads Sogaard ![]() | G | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Mason Primeau ![]() | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Matej Blumel ![]() | LW | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Matt Kiersted ![]() | D | 27 | 925,000$ | 925,000$ | ![]() | ||||||
Max Jones ![]() | LW | 27 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Michael McNiven ![]() | G | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Nikolai Knyzhov ![]() | D | 27 | 1,250,000$ | 1,250,000$ | ![]() | ||||||
Noel Hoefenmayer ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Otto Koivula ![]() | LW | 26 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Philip Broberg ![]() | D | 23 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Reilly Walsh ![]() | D | 25 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Roni Hirvonen ![]() | C | 23 | 856,667$ | 856,667$ | RFA | ||||||
Simon Kubicek ![]() ![]() | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Tanner Pearson ![]() | LW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Tyler Benson ![]() | LW | 27 | 1,000,000$ | 1,000,000$ | ![]() |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 11 | 18 | 1 | 0 | 0 | 4 | 3 | 0 | 96 | 22 | 36 | 38 | 0 | 96 | 30 | 26 | 60 | 13 | 3 | 23.08% | 13 | 2 | 84.62% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 71 | 49 | 70 | 22 | 37 | 19 | 30.8% | 7.3% | 88.5% | 95.8 | Unlucky | |
2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 1 | 3 | 4 | 0 | 75 | 20 | 32 | 21 | 5 | 62 | 19 | 20 | 44 | 8 | 2 | 25.00% | 9 | 1 | 88.89% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 49 | 33 | 48 | 15 | 27 | 13 | 60.0% | 10.7% | 91.9% | 102.6 | LUCKY | |
3 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 8 | 2 | 4 | 1.000 | 10 | 14 | 24 | 0 | 0 | 5 | 2 | 2 | 2 | 69 | 22 | 23 | 18 | 8 | 79 | 32 | 24 | 43 | 4 | 2 | 50.00% | 10 | 2 | 80.00% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 46 | 32 | 53 | 15 | 25 | 12 | 57.1% | 14.5% | 89.9% | 104.4 | FUN | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 2 | 3 | 0 | 69 | 18 | 15 | 36 | 0 | 49 | 17 | 20 | 43 | 10 | 2 | 20.00% | 10 | 3 | 70.00% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 48 | 33 | 46 | 13 | 25 | 13 | 45.5% | 10.1% | 81.6% | 91.8 | FUN | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 2 | 9 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 5 | 2 | 4 | 0 | 64 | 25 | 22 | 17 | 0 | 34 | 15 | 18 | 34 | 8 | 5 | 62.50% | 8 | 1 | 87.50% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 53 | 38 | 40 | 14 | 25 | 13 | 85.7% | 17.2% | 94.1% | 111.3 | LUCKY | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 66 | 16 | 29 | 21 | 0 | 80 | 15 | 18 | 47 | 5 | 2 | 40.00% | 9 | 1 | 88.89% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 45 | 31 | 49 | 15 | 25 | 12 | 33.3% | 7.6% | 91.3% | 98.8 | DULL | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 2 | 3 | 0 | 0 | 57 | 21 | 21 | 15 | 0 | 49 | 11 | 24 | 43 | 5 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 49 | 32 | 43 | 14 | 27 | 13 | 100.0% | 8.8% | 95.9% | 104.7 | DULL | |
8 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 2 | 1 | 68 | 21 | 14 | 29 | 4 | 37 | 12 | 10 | 40 | 8 | 1 | 12.50% | 5 | 2 | 60.00% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 51 | 37 | 45 | 14 | 24 | 12 | 71.4% | 8.8% | 89.2% | 98.0 | Unlucky | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 53 | 12 | 17 | 24 | 0 | 53 | 18 | 28 | 43 | 6 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 45 | 31 | 50 | 14 | 23 | 11 | 57.1% | 7.5% | 92.5% | 100.0 | DULL | |
10 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 60 | 13 | 29 | 17 | 4 | 64 | 19 | 28 | 47 | 9 | 1 | 11.11% | 12 | 3 | 75.00% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 53 | 36 | 45 | 15 | 26 | 13 | 44.4% | 8.3% | 87.5% | 95.8 | Unlucky | |
11 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 1 | 0 | 0 | 5 | 1 | 1 | 81 | 19 | 41 | 20 | 1 | 61 | 24 | 8 | 55 | 8 | 1 | 12.50% | 4 | 0 | 100.00% | 1 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 52 | 38 | 42 | 13 | 25 | 13 | 42.9% | 8.6% | 86.9% | 95.5 | Unlucky | |
12 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.667 | 8 | 15 | 23 | 0 | 1 | 4 | 2 | 2 | 0 | 116 | 48 | 38 | 30 | 0 | 88 | 28 | 24 | 55 | 12 | 2 | 16.67% | 12 | 1 | 91.67% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 75 | 52 | 68 | 20 | 35 | 19 | 54.5% | 6.9% | 93.2% | 100.1 | DULL | |
13 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 6 | 1.000 | 11 | 20 | 31 | 0 | 0 | 7 | 2 | 2 | 0 | 107 | 35 | 36 | 36 | 0 | 68 | 23 | 38 | 63 | 14 | 3 | 21.43% | 19 | 2 | 89.47% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 76 | 52 | 65 | 22 | 38 | 20 | 88.9% | 10.3% | 95.6% | 105.9 | LUCKY | |
14 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 3 | 0.500 | 9 | 16 | 25 | 0 | 0 | 4 | 2 | 3 | 0 | 86 | 29 | 22 | 35 | 0 | 99 | 24 | 22 | 53 | 8 | 1 | 12.50% | 10 | 2 | 80.00% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 78 | 56 | 64 | 21 | 36 | 18 | 57.1% | 10.5% | 91.9% | 102.4 | LUCKY | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 64 | 15 | 25 | 24 | 0 | 48 | 13 | 24 | 45 | 6 | 1 | 16.67% | 7 | 3 | 57.14% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 51 | 36 | 42 | 13 | 26 | 13 | 33.3% | 3.1% | 89.6% | 92.7 | Unlucky | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 10 | 17 | 0 | 1 | 2 | 4 | 1 | 0 | 69 | 33 | 22 | 14 | 0 | 47 | 16 | 4 | 43 | 9 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 49 | 34 | 45 | 14 | 25 | 13 | 70.0% | 10.1% | 93.6% | 103.8 | LUCKY | |
17 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 15 | -10 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 84 | 25 | 30 | 29 | 0 | 119 | 28 | 32 | 66 | 8 | 1 | 12.50% | 15 | 4 | 73.33% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 65 | 42 | 74 | 21 | 39 | 19 | 26.7% | 6.0% | 87.4% | 93.3 | Unlucky | |
18 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 0 | 4 | 1 | 1 | 56 | 12 | 25 | 17 | 8 | 69 | 29 | 24 | 44 | 7 | 2 | 28.57% | 11 | 3 | 72.73% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 46 | 30 | 52 | 15 | 26 | 13 | 80.0% | 10.7% | 94.2% | 104.9 | LUCKY | |
19 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.500 | 10 | 17 | 27 | 0 | 0 | 3 | 1 | 5 | 1 | 88 | 28 | 26 | 30 | 4 | 90 | 16 | 14 | 55 | 8 | 1 | 12.50% | 7 | 1 | 85.71% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 52 | 38 | 46 | 13 | 25 | 13 | 45.0% | 11.4% | 86.7% | 98.0 | FUN | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 12 | 19 | 1 | 0 | 4 | 2 | 1 | 0 | 73 | 22 | 24 | 27 | 0 | 68 | 20 | 18 | 57 | 12 | 4 | 33.33% | 7 | 1 | 85.71% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 48 | 33 | 46 | 14 | 25 | 12 | 42.9% | 9.6% | 92.6% | 102.2 | LUCKY | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 3 | 7 | 1 | 0 | 118 | 29 | 51 | 38 | 0 | 97 | 23 | 28 | 60 | 10 | 2 | 20.00% | 14 | 1 | 92.86% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 76 | 53 | 66 | 22 | 36 | 18 | 60.0% | 9.3% | 92.8% | 102.1 | LUCKY | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 0 | 5 | 0 | 0 | 63 | 14 | 26 | 23 | 0 | 69 | 27 | 20 | 31 | 10 | 2 | 20.00% | 10 | 3 | 70.00% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 45 | 31 | 49 | 15 | 24 | 12 | 37.5% | 7.9% | 88.4% | 96.3 | Unlucky | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 3 | 4 | 2 | 0 | 68 | 12 | 35 | 21 | 0 | 75 | 19 | 18 | 52 | 3 | 1 | 33.33% | 9 | 3 | 66.67% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 44 | 29 | 47 | 14 | 27 | 13 | 57.1% | 13.2% | 88.0% | 101.2 | FUN | |
24 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 22 | 33 | 0 | 0 | 3 | 6 | 2 | 0 | 119 | 48 | 41 | 30 | 0 | 73 | 23 | 22 | 59 | 18 | 4 | 22.22% | 10 | 2 | 80.00% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 79 | 57 | 62 | 22 | 37 | 19 | 50.0% | 9.2% | 87.7% | 96.9 | FUN | |
25 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 6 | 6 | 6 | 1.000 | 12 | 20 | 32 | 0 | 0 | 4 | 5 | 2 | 1 | 99 | 29 | 31 | 32 | 14 | 110 | 19 | 28 | 74 | 12 | 0 | 0.00% | 14 | 0 | 100.00% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 69 | 47 | 75 | 23 | 39 | 19 | 66.7% | 12.1% | 94.5% | 106.7 | LUCKY | |
26 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 14 | 1 | 4 | 0.667 | 15 | 26 | 41 | 0 | 0 | 5 | 6 | 4 | 0 | 113 | 34 | 37 | 42 | 0 | 102 | 23 | 32 | 77 | 16 | 4 | 25.00% | 16 | 6 | 62.50% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 74 | 52 | 67 | 20 | 37 | 19 | 57.9% | 13.3% | 86.3% | 99.5 | FUN | |
27 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 53 | 23 | 11 | 19 | 0 | 66 | 20 | 19 | 43 | 10 | 4 | 40.00% | 7 | 1 | 85.71% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 44 | 29 | 49 | 15 | 26 | 12 | 20.0% | 9.4% | 92.4% | 101.9 | LUCKY | |
28 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 1 | 0 | 4 | 1 | 1 | 1 | 54 | 15 | 15 | 20 | 7 | 66 | 16 | 36 | 41 | 9 | 1 | 11.11% | 7 | 2 | 71.43% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 50 | 34 | 47 | 14 | 27 | 14 | 50.0% | 13.0% | 87.9% | 100.8 | FUN | |
29 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.250 | 7 | 13 | 20 | 1 | 0 | 5 | 1 | 1 | 0 | 143 | 59 | 44 | 40 | 0 | 108 | 28 | 44 | 85 | 15 | 0 | 0.00% | 20 | 4 | 80.00% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 92 | 62 | 97 | 30 | 50 | 25 | 50.0% | 4.9% | 89.8% | 94.7 | Unlucky | |
30 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 10 | 2 | 6 | 0.750 | 12 | 20 | 32 | 0 | 0 | 3 | 6 | 2 | 1 | 156 | 44 | 52 | 57 | 3 | 119 | 30 | 36 | 91 | 15 | 1 | 6.67% | 16 | 5 | 68.75% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 104 | 73 | 90 | 29 | 49 | 25 | 68.8% | 7.7% | 91.6% | 99.3 | DULL | |
31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 54 | 16 | 16 | 22 | 0 | 57 | 11 | 16 | 46 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 47 | 31 | 46 | 13 | 26 | 14 | 50.0% | 7.4% | 93.0% | 100.4 | DULL | |
_Vs Division | 21 | 12 | 7 | 0 | 1 | 0 | 1 | 0 | 60 | 48 | 12 | 28 | 0.667 | 60 | 102 | 162 | 2 | 1 | 23 | 24 | 11 | 2 | 724 | 238 | 237 | 239 | 17 | 605 | 157 | 192 | 462 | 83 | 8 | 9.64% | 91 | 14 | 84.62% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 511 | 350 | 490 | 155 | 267 | 136 | 60.5% | 8.3% | 92.1% | 100.4 | DULL | |
_Vs Conference | 43 | 24 | 15 | 0 | 1 | 1 | 2 | 0 | 130 | 113 | 17 | 55 | 0.640 | 130 | 229 | 359 | 2 | 3 | 44 | 57 | 26 | 3 | 1473 | 484 | 502 | 475 | 25 | 1301 | 346 | 400 | 919 | 167 | 24 | 14.37% | 190 | 35 | 81.58% | 0 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 1057 | 729 | 990 | 314 | 546 | 279 | 57.6% | 8.8% | 91.3% | 100.1 | DULL | |
_Since Last GM Reset | 75 | 34 | 30 | 0 | 4 | 1 | 5 | 1 | 238 | 220 | 18 | 88 | 0.587 | 238 | 414 | 652 | 5 | 3 | 79 | 94 | 56 | 10 | 2541 | 779 | 886 | 842 | 58 | 2302 | 648 | 723 | 1639 | 291 | 54 | 18.56% | 320 | 63 | 80.31% | 1 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 1839 | 1275 | 1741 | 549 | 960 | 486 | 54.0% | 9.4% | 90.4% | 99.8 | FUN | |
Total | 75 | 34 | 30 | 0 | 4 | 1 | 5 | 1 | 238 | 220 | 18 | 88 | 0.587 | 238 | 414 | 652 | 5 | 3 | 79 | 94 | 56 | 10 | 2541 | 779 | 886 | 842 | 58 | 2302 | 648 | 723 | 1639 | 291 | 54 | 18.56% | 320 | 63 | 80.31% | 1 | 1414 | 2750 | 51.42% | 1267 | 2603 | 48.67% | 547 | 1157 | 47.28% | 1839 | 1275 | 1741 | 549 | 960 | 486 | 54.0% | 9.4% | 90.4% | 99.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2750 |
Neutral Zone Start | 1157 |
Defensive Zone Start | 2603 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3228 |
Faceoffs Lost | 3282 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.4 | 9.57 |
2nd Period | 22.2 | 20.31 |
3rd Period | 33.4 | 30.68 |
Overtime | 34.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 178 |
---|---|
PP Goal | 54 |
PK Goal | 1 |
Empty Net Goal | 5 |
Home | Away | |
---|---|---|
Win | 18 | 25 |
Lost | 18 | 12 |
Overtime Lost | 1 | 1 |
PP Attempt | 291 |
---|---|
PP Goal | 54 |
PK Attempt | 320 |
PK Goal Against | 63 |
Home | |
---|---|
Shots For | 33.9 |
Shots Against | 30.7 |
Goals For | 3.2 |
Goals Against | 2.9 |
Hits | 21.9 |
Shots Blocked | 8.6 |
Pim | 9.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-12 | @ | Kings2,Sabres4 | RECAP | |||||||||||
2024-10-14 | @ | Kings4,Bruins7 | RECAP | |||||||||||
2024-10-16 | @ | Kings2,Senators5 | RECAP | |||||||||||
2024-10-18 | @ | Kings3,Maple Leafs2 | RECAP | |||||||||||
2024-10-19 | @ | Kings3,Canadiens2 (SO) | RECAP | |||||||||||
2024-10-22 | @ | Kings3,Ducks1 | RECAP | |||||||||||
2024-10-24 | @ | Kings5,Golden Knights4 (OT) | RECAP | |||||||||||
2024-10-26 | @ | Sharks3,Kings1 | RECAP | |||||||||||
2024-10-28 | @ | Hockey Club2,Kings3 | RECAP | |||||||||||
2024-10-31 | @ | Kings5,Sharks3 | RECAP | |||||||||||
2024-11-01 | @ | Golden Knights2,Kings3 | RECAP | |||||||||||
2024-11-04 | @ | Blackhawks3,Kings2 | RECAP | |||||||||||
2024-11-06 | @ | Kings4,Predators1 | RECAP | |||||||||||
2024-11-07 | @ | Kings2,Wild4 | RECAP | |||||||||||
2024-11-09 | @ | Canucks1,Kings5 | RECAP | |||||||||||
2024-11-11 | @ | Blue Jackets5,Kings2 | RECAP | |||||||||||
2024-11-13 | @ | Kings1,Flames5 | RECAP | |||||||||||
2024-11-15 | @ | Kings2,Avalanche0 | RECAP | |||||||||||
2024-11-18 | @ | Red Wings3,Kings2 | RECAP | |||||||||||
2024-11-22 | @ | Sabres1,Kings5 | RECAP | |||||||||||
2024-11-25 | @ | Kraken3,Kings1 | RECAP | |||||||||||
2024-11-27 | @ | Kings0,Sharks1 | RECAP | |||||||||||
2024-11-29 | @ | Jets4,Kings6 | RECAP | |||||||||||
2024-12-01 | @ | Kings4,Ducks3 (SO) | RECAP | |||||||||||
2024-12-02 | @ | Senators4,Kings5 | RECAP | |||||||||||
2024-12-06 | @ | Stars4,Kings5 | RECAP | |||||||||||
2024-12-09 | @ | Wild0,Kings3 | RECAP | |||||||||||
2024-12-12 | @ | Kings5,Islanders1 | RECAP | |||||||||||
2024-12-14 | @ | Kings5,Devils4 (SO) | RECAP | |||||||||||
2024-12-16 | @ | Kings4,Rangers3 | RECAP | |||||||||||
2024-12-19 | @ | Kings4,Penguins3 (SO) | RECAP | |||||||||||
2024-12-21 | @ | Kings5,Flyers1 | RECAP | |||||||||||
2024-12-23 | @ | Kings2,Predators3 (OT) | RECAP | |||||||||||
2024-12-24 | @ | Kings4,Capitals3 (OT) | RECAP | |||||||||||
2024-12-30 | @ | Oilers3,Kings5 | RECAP | |||||||||||
2024-12-31 | @ | Flyers4,Kings3 (SO) | RECAP | |||||||||||
2025-01-03 | @ | Devils4,Kings5 | RECAP | |||||||||||
2025-01-06 | @ | Lightning2,Kings1 | RECAP | |||||||||||
2025-01-10 | @ | Flames2,Kings4 | RECAP | |||||||||||
2025-01-12 | @ | Kings3,Jets1 | RECAP | |||||||||||
2025-01-13 | @ | Kings2,Flames4 | RECAP | |||||||||||
2025-01-15 | @ | Kings2,Oilers0 | RECAP | |||||||||||
2025-01-18 | @ | Kings4,Canucks1 | RECAP | |||||||||||
2025-01-20 | @ | Kings3,Kraken1 | RECAP | |||||||||||
2025-01-22 | @ | Penguins5,Kings3 | RECAP | |||||||||||
2025-01-24 | @ | Panthers3,Kings2 | RECAP | |||||||||||
2025-01-27 | @ | Kings7,Blue Jackets4 | RECAP | |||||||||||
2025-01-29 | @ | Kings2,Red Wings1 | RECAP | |||||||||||
2025-01-31 | @ | Kings3,Panthers5 | RECAP | |||||||||||
2025-02-01 | @ | Kings1,Lightning3 | RECAP | |||||||||||
2025-02-03 | @ | Kings2,Hurricanes3 | RECAP | |||||||||||
2025-02-07 | @ | Canadiens6,Kings2 | RECAP | |||||||||||
2025-02-09 | @ | Stars5,Kings4 | RECAP | |||||||||||
2025-02-10 | @ | Ducks2,Kings5 | RECAP | |||||||||||
2025-02-24 | @ | Hockey Club2,Kings3 (SO) | RECAP | |||||||||||
2025-02-26 | @ | Golden Knights1,Kings2 | RECAP | |||||||||||
2025-02-28 | @ | Canucks1,Kings2 | RECAP | |||||||||||
2025-03-02 | @ | Kings6,Stars5 | RECAP | |||||||||||
2025-03-03 | @ | Kings2,Blues5 | RECAP | |||||||||||
2025-03-05 | @ | Kings5,Blackhawks2 | RECAP | |||||||||||
2025-03-07 | @ | Blues6,Kings2 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Blues4,Kings1 | RECAP | |||||||||||
2025-03-11 | @ | Kings2,Golden Knights3 | RECAP | |||||||||||
2025-03-13 | @ | Islanders1,Kings6 | RECAP | |||||||||||
2025-03-15 | @ | Capitals5,Kings3 | RECAP | |||||||||||
2025-03-17 | @ | Predators4,Kings3 | RECAP | |||||||||||
2025-03-19 | @ | Kings3,Wild2 | RECAP | |||||||||||
2025-03-22 | @ | Kings4,Blackhawks2 | RECAP | |||||||||||
2025-03-24 | @ | Hurricanes4,Kings3 | RECAP | |||||||||||
2025-03-25 | @ | Bruins5,Kings6 (OT) | RECAP | |||||||||||
2025-03-27 | @ | Rangers1,Kings2 (OT) | RECAP | |||||||||||
2025-03-29 | @ | Kings3,Avalanche2 | RECAP | |||||||||||
2025-03-31 | @ | Maple Leafs3,Kings2 | RECAP | |||||||||||
2025-04-01 | @ | Sharks4,Kings1 | RECAP | |||||||||||
2025-04-03 | @ | Jets4,Kings2 | RECAP | |||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
2025-04-09 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-14 | @ | |||||||||||||
2025-04-16 | @ | |||||||||||||
2025-04-17 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
96,080,000$ | 0$ | 87,808,378$ | -8,080,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Staples Center | |
City | Los Angeles | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 211998 | 176219 | 71316 | 142235 | 35281 |
Attendance PCT | 95.49% | 95.25% | 96.37% | 96.10% | 95.35% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
4 | 17218 - 95.65% | 1,576,903$ | 58,345,400$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
96,080,000$ | 96,080,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
80,883,479$ | 490,204$ | 79,965,114$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
6,307,611$ | 16 | 495,306$ | 7,924,896$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
7,964,048$ | 96,080,000$ | 62,088,349$ | 60,431,912$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
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2028 | ||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Cameron Lund | 2022 | 66 | |||
Chase Wutzke | 2024 | 157 | |||
Connor Hvidston | 2022 | 184 | |||
Frederik Nissen | 2019 | 140 | |||
Jack Phelan | 2023 | 149 | |||
Jake Lee | 2019 | 118 | |||
Jakub Vondras | 2022 | 190 | |||
Linus Eriksson | 2024 | 63 | |||
Mans Forsfjall | 2020 | 153 | |||
Redmond Savage | 2021 | 107 | |||
Rieger Lorenz | 2022 | 53 | |||
Stanislav Yarovoy | 2023 | 136 | |||
Timofey Spitserov | |||||
Trent Swick | 2024 | 198 | |||
Trevor Janicke | 2019 | 138 | |||
Veeti Miettinen | 2020 | 83 | |||
Zion Nybeck | 2020 | 33 |
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