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Full Scoreboard »» |
Los Angeles Kings 38-26-2, 78pts · 8th 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 | 100.00 | 55 | 32 | 95 | 89 | 68 | 90 | 87 | 82 | 72 | 86 | 86 | 57 | 84 | 64 | 73 | 0 | 51 | 90 | 23 | 8,000,000$/6yrs | |||
![]() | 11 | LW/RW | 100.00 | 76 | 45 | 52 | 83 | 67 | 91 | 90 | 81 | 60 | 77 | 88 | 75 | 84 | 72 | 68 | 0 | 76 | 89 | 28 | 5,500,000$/9yrs | |||
![]() | 14 | C | 100.00 | 76 | 33 | 77 | 76 | 83 | 88 | 89 | 77 | 89 | 75 | 77 | 80 | 77 | 72 | 70 | 0 | 75 | 86 | 28 | 5,250,000$/5yrs | |||
![]() | 13 | C/LW/RW | 100.00 | 73 | 32 | 91 | 80 | 67 | 87 | 88 | 75 | 60 | 75 | 82 | 74 | 79 | 64 | 63 | 0 | 75 | 86 | 23 | 6,250,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 70 | 35 | 67 | 73 | 66 | 87 | 89 | 74 | 60 | 78 | 76 | 70 | 75 | 87 | 99 | 0 | 31 | 85 | 36 | 6,125,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 33 | 74 | 78 | 76 | 85 | 88 | 77 | 59 | 81 | 77 | 54 | 77 | 72 | 70 | 0 | 66 | 85 | 28 | 8,500,000$/8yrs | |||
![]() | 15 | C/LW | 100.00 | 68 | 32 | 92 | 76 | 74 | 87 | 90 | 70 | 86 | 70 | 74 | 75 | 72 | 64 | 63 | 0 | 75 | 81 | 23 | 5,000,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 32 | 92 | 60 | 74 | 80 | 90 | 62 | 58 | 58 | 69 | 89 | 66 | 81 | 80 | 0 | 75 | 78 | 33 | 3,500,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 34 | 79 | 62 | 76 | 81 | 90 | 65 | 61 | 65 | 66 | 71 | 65 | 79 | 88 | 0 | 27 | 77 | 32 | 2,000,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 85 | 34 | 87 | 71 | 94 | 85 | 90 | 63 | 56 | 77 | 56 | 68 | 60 | 59 | 58 | 0 | 75 | 77 | 21 | 950,000$/9yrs | |||
![]() | 0 | RW | 100.00 | 63 | 57 | 65 | 56 | 84 | 76 | 86 | 63 | 55 | 62 | 66 | 53 | 65 | 91 | 88 | 0 | 27 | 74 | 39 | 1,275,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 38 | 71 | 62 | 72 | 79 | 79 | 64 | 75 | 64 | 65 | 67 | 65 | 61 | 59 | 0 | 75 | 74 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 35 | 81 | 76 | 79 | 97 | 88 | 73 | 30 | 84 | 75 | 71 | 74 | 83 | 99 | 0 | 75 | 90 | 34 | 9,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 69 | 37 | 87 | 76 | 86 | 94 | 86 | 70 | 30 | 82 | 60 | 68 | 65 | 76 | 89 | 0 | 72 | 86 | 31 | 7,500,000$/6yrs | |||
![]() | 5 | D | 100.00 | 71 | 34 | 68 | 66 | 87 | 93 | 84 | 65 | 30 | 69 | 65 | 77 | 65 | 73 | 84 | 0 | 75 | 81 | 29 | 7,500,000$/7yrs | |||
![]() | 0 | D | 99.00 | 73 | 35 | 83 | 62 | 87 | 91 | 89 | 65 | 30 | 71 | 64 | 74 | 65 | 83 | 93 | 0 | 21 | 81 | 34 | 6,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 46 | 78 | 57 | 99 | 88 | 89 | 65 | 30 | 63 | 59 | 86 | 62 | 78 | 76 | 0 | 75 | 79 | 32 | 3,475,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 35 | 69 | 55 | 79 | 84 | 84 | 59 | 30 | 61 | 58 | 78 | 59 | 82 | 79 | 0 | 75 | 75 | 34 | 1,100,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 72 | 34 | 92 | 63 | 86 | 75 | 90 | 56 | 80 | 61 | 59 | 84 | 58 | 64 | 64 | 0 | 75 | 74 | 23 | 925,000$/1yrs | |||
TEAM AVERAGE | 99.95 | 71 | 36 | 79 | 70 | 79 | 86 | 88 | 69 | 55 | 72 | 70 | 72 | 69 | 74 | 77 | 0 | 63 | 81 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 90 | 95 | 83 | 76 | 89 | 80 | 89 | 91 | 88 | 91 | 89 | 74 | 78 | 0 | 56 | 90 | 29 | 5,666,667$/9yrs |
![]() | 0 | 100.00 | 73 | 83 | 76 | 84 | 75 | 71 | 78 | 85 | 79 | 83 | 78 | 86 | 90 | 0 | 55 | 84 | 37 | 1,600,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 82 | 89 | 80 | 80 | 82 | 76 | 84 | 88 | 84 | 87 | 84 | 80 | 84 | 0 | 56 | 87 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd McLellan | 83 | 88 | 90 | 90 | 86 | 78 | 75 | CAN | 55 | 5 | 1,000,000$ |
General Manager | Yannick VĂ©zina-Roy |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Travis Konecny | 11 | LW/RW | 66 | 33 | 33 | 66 | 6 | 62 | 10 | 224 | 345 | 105 | 257 | 9.57% | 11 | 19.20 | 7 | 11 | 18 | 231 | 0 | 0 | 0 | 0 | 1 | 3 | 36.36% | 99 | 0 | 0 | 0 | 1 | 1.04 | 1 | 5 | |
2 | Joel Eriksson Ek | 14 | C | 66 | 22 | 40 | 62 | 10 | 44 | 0 | 109 | 269 | 82 | 195 | 8.18% | 21 | 19.52 | 3 | 14 | 17 | 206 | 0 | 0 | 0 | 125 | 5 | 1 | 54.03% | 1675 | 0 | 0 | 0 | 0 | 0.96 | 0 | 2 | |
3 | Brad Marchand | 0 | LW | 67 | 22 | 32 | 54 | -6 | 27 | 5 | 91 | 217 | 66 | 165 | 10.14% | 18 | 19.38 | 5 | 11 | 16 | 209 | 0 | 0 | 0 | 129 | 3 | 1 | 43.14% | 102 | 0 | 0 | 1 | 0 | 0.83 | 0 | 4 | |
4 | Morgan Rielly | 0 | D | 66 | 12 | 38 | 50 | 12 | 47 | 5 | 99 | 90 | 35 | 62 | 13.33% | 74 | 24.67 | 7 | 7 | 14 | 204 | 0 | 1 | 1 | 183 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
5 | Seth Jarvis | 13 | C/LW/RW | 66 | 19 | 31 | 50 | 0 | 10 | 0 | 31 | 206 | 49 | 143 | 9.22% | 11 | 16.76 | 6 | 12 | 18 | 229 | 0 | 0 | 0 | 1 | 1 | 1 | 48.06% | 412 | 0 | 0 | 0 | 0 | 0.90 | 1 | 1 | |
6 | Roman Josi | 0 | D | 66 | 10 | 37 | 47 | 11 | 32 | 0 | 57 | 135 | 43 | 91 | 7.41% | 83 | 23.64 | 6 | 9 | 15 | 236 | 0 | 0 | 0 | 217 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 2 | |
7 | Mattias Ekholm | 0 | D | 67 | 5 | 40 | 45 | 5 | 68 | 0 | 129 | 117 | 38 | 64 | 4.27% | 94 | 23.62 | 0 | 4 | 4 | 241 | 0 | 1 | 1 | 216 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
8 | Jack Hughes | 86 | C/LW | 63 | 18 | 26 | 44 | 10 | 0 | 0 | 9 | 195 | 49 | 144 | 9.23% | 8 | 17.49 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 57 | 4 | 1 | 45.09% | 1284 | 0 | 0 | 0 | 0 | 0.80 | 1 | 2 | |
9 | Kevin Fiala | 0 | C/LW/RW | 66 | 20 | 20 | 40 | 9 | 22 | 0 | 80 | 133 | 50 | 126 | 15.04% | 5 | 20.12 | 7 | 6 | 13 | 235 | 0 | 0 | 0 | 19 | 0 | 1 | 50.00% | 112 | 0 | 0 | 0 | 0 | 0.60 | 1 | 5 | |
10 | Aaron Ekblad | 5 | D | 66 | 3 | 31 | 34 | 5 | 74 | 0 | 139 | 85 | 30 | 66 | 3.53% | 83 | 21.45 | 2 | 8 | 10 | 202 | 0 | 0 | 0 | 82 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
11 | Travis Hamonic | 0 | D | 66 | 11 | 20 | 31 | 9 | 72 | 0 | 130 | 79 | 35 | 57 | 13.92% | 89 | 21.68 | 6 | 4 | 10 | 212 | 0 | 0 | 0 | 219 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
12 | Anton Lundell | 15 | C/LW | 66 | 12 | 18 | 30 | 1 | 8 | 0 | 22 | 144 | 39 | 97 | 8.33% | 8 | 14.57 | 1 | 5 | 6 | 99 | 1 | 0 | 1 | 266 | 1 | 0 | 50.81% | 1301 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
13 | Juraj Slafkovsky | 0 | LW | 66 | 8 | 17 | 25 | 5 | 26 | 0 | 108 | 96 | 27 | 78 | 8.33% | 8 | 16.94 | 1 | 3 | 4 | 188 | 0 | 0 | 0 | 0 | 1 | 0 | 38.96% | 77 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
14 | Brandon Tanev | 0 | LW/RW | 66 | 10 | 12 | 22 | 6 | 34 | 0 | 71 | 96 | 29 | 56 | 10.42% | 17 | 12.57 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 281 | 4 | 0 | 33.33% | 81 | 0 | 0 | 2 | 0 | 0.53 | 2 | 4 | |
15 | Jordan Martinook | 0 | C/LW/RW | 69 | 5 | 15 | 20 | -7 | 20 | 0 | 57 | 119 | 45 | 95 | 4.20% | 16 | 16.41 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 238 | 0 | 1 | 43.80% | 548 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
16 | Jamie Oleksiak | 0 | D | 66 | 4 | 14 | 18 | 13 | 102 | 10 | 127 | 59 | 14 | 30 | 6.78% | 111 | 17.43 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 209 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
17 | Ridly Greig | 0 | C/LW | 66 | 4 | 10 | 14 | 4 | 20 | 0 | 78 | 64 | 12 | 40 | 6.25% | 6 | 10.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0 | 1 | 47.92% | 48 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
18 | Corey Perry | 0 | RW | 61 | 5 | 5 | 10 | -4 | 27 | 5 | 46 | 39 | 7 | 36 | 12.82% | 2 | 10.28 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 47.14% | 524 | 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 | 1250 | 228 | 443 | 671 | 92 | 707 | 35 | 1630 | 2554 | 769 | 1844 | 8.93% | 671 | 17.61 | 52 | 94 | 146 | 2543 | 1 | 3 | 4 | 2371 | 30 | 11 | 48.78% | 6790 | 0 | 0 | 3 | 1 | 0.61 | 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 | 59 | 31 | 19 | 6 | 0.909 | 2.72 | 3353 | 6 | 3 | 152 | 1674 | 0 | 4 | 3 | 0.774 | 31 | 59 | 7 | 6 | 3 | 2 | |
2 | James Reimer | 15 | 8 | 7 | 0 | 0.906 | 2.88 | 853 | 4 | 1 | 41 | 434 | 0 | 0 | 1 | 0.000 | 0 | 14 | 44 | 3 | 0 | 0 | |
Team Total or Average | 74 | 39 | 26 | 6 | 0.908 | 2.75 | 4207 | 10 | 4 | 193 | 2108 | 0 | 4 | 4 | 0.774 | 31 | 73 | 51 | 9 | 3 | 2 |
Projected Total Cap Hit | 87,842,476$ |
Projected Cap Space | 157,524$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 72,155,948$ |
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 | 23 | 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 | 28 | 775,000$ | 775,000$ | UFA | ||||||
Josiah Didier ![]() | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Kai Schwindt ![]() | LW | 21 | 800,000$ | 800,000$ | RFA | ||||||
Kristian Vesalainen ![]() | LW/RW | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Lukas Rousek ![]() | RW | 25 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Mackenzie MacEachern ![]() | LW/RW | 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 | 26 | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 53 | 38 | 40 | 14 | 25 | 13 | 85.7% | 17.2% | 94.1% | 111.3 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 34 | 3 | 19 | 12 | 0 | 35 | 6 | 6 | 18 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 25 | 18 | 21 | 7 | 12 | 6 | 25.0% | 5.9% | 91.4% | 97.3 | DULL | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 2 | 0 | 0 | 24 | 6 | 11 | 7 | 0 | 23 | 6 | 8 | 23 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 24 | 15 | 22 | 7 | 13 | 7 | 100.0% | 8.3% | 100.0% | 108.3 | DULL | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 36 | 14 | 9 | 13 | 0 | 25 | 10 | 4 | 16 | 6 | 1 | 16.67% | 2 | 2 | 0.00% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 25 | 19 | 21 | 6 | 12 | 6 | 75.0% | 11.1% | 88.0% | 99.1 | FUN | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 53 | 12 | 17 | 24 | 0 | 53 | 18 | 28 | 43 | 6 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 52 | 38 | 42 | 13 | 25 | 13 | 42.9% | 8.6% | 86.9% | 95.5 | Unlucky | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 1 | 2 | 2 | 1 | 0 | 76 | 31 | 27 | 18 | 0 | 58 | 16 | 18 | 38 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 49 | 33 | 45 | 14 | 25 | 12 | 57.1% | 6.6% | 93.1% | 99.7 | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 46 | 30 | 52 | 15 | 26 | 13 | 80.0% | 10.7% | 94.2% | 104.9 | LUCKY | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 39 | 16 | 13 | 10 | 0 | 51 | 8 | 8 | 31 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 24 | 16 | 22 | 7 | 13 | 6 | 40.0% | 10.3% | 86.3% | 96.5 | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 48 | 33 | 46 | 14 | 25 | 12 | 42.9% | 9.6% | 92.6% | 102.2 | LUCKY | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 2 | 4 | 1 | 0 | 80 | 22 | 28 | 30 | 0 | 63 | 14 | 18 | 41 | 5 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 52 | 37 | 42 | 14 | 24 | 12 | 63.6% | 8.8% | 92.1% | 100.8 | DULL | |
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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 44 | 29 | 47 | 14 | 27 | 13 | 57.1% | 13.2% | 88.0% | 101.2 | FUN | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 3 | 6 | 0 | 0 | 85 | 27 | 36 | 22 | 0 | 48 | 18 | 16 | 35 | 14 | 2 | 14.29% | 7 | 1 | 85.71% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 54 | 38 | 40 | 15 | 25 | 13 | 63.6% | 10.6% | 89.6% | 100.2 | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 74 | 52 | 67 | 20 | 37 | 19 | 57.9% | 13.3% | 86.3% | 99.5 | FUN | |
27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 34 | 13 | 3 | 18 | 0 | 33 | 12 | 11 | 24 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 21 | 13 | 25 | 8 | 13 | 6 | 33.3% | 8.8% | 93.9% | 102.8 | DULL | |
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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 50 | 34 | 47 | 14 | 27 | 14 | 50.0% | 13.0% | 87.9% | 100.8 | FUN | |
29 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 12 | 18 | 1 | 0 | 4 | 1 | 1 | 0 | 113 | 46 | 34 | 33 | 0 | 75 | 22 | 26 | 61 | 12 | 0 | 0.00% | 13 | 2 | 84.62% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 71 | 48 | 69 | 22 | 39 | 19 | 54.5% | 5.3% | 90.7% | 96.0 | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 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 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 47 | 31 | 46 | 13 | 26 | 14 | 50.0% | 7.4% | 93.0% | 100.4 | DULL | |
_Vs Division | 20 | 12 | 6 | 0 | 1 | 0 | 1 | 0 | 59 | 44 | 15 | 28 | 0.700 | 59 | 101 | 160 | 2 | 1 | 22 | 24 | 11 | 2 | 694 | 225 | 227 | 232 | 17 | 572 | 151 | 174 | 438 | 80 | 8 | 10.00% | 84 | 12 | 85.71% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 490 | 337 | 462 | 148 | 256 | 131 | 61.4% | 8.5% | 92.3% | 100.8 | DULL | |
_Vs Conference | 38 | 21 | 13 | 0 | 1 | 1 | 2 | 0 | 117 | 99 | 18 | 49 | 0.645 | 117 | 207 | 324 | 2 | 3 | 38 | 53 | 23 | 3 | 1298 | 411 | 443 | 432 | 25 | 1153 | 309 | 344 | 815 | 150 | 19 | 12.67% | 165 | 30 | 81.82% | 0 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 936 | 644 | 871 | 279 | 486 | 249 | 58.7% | 9.0% | 91.4% | 100.4 | LUCKY | |
_Since Last GM Reset | 66 | 31 | 26 | 0 | 2 | 1 | 5 | 1 | 212 | 193 | 19 | 78 | 0.591 | 212 | 370 | 582 | 5 | 3 | 69 | 88 | 48 | 8 | 2234 | 664 | 791 | 753 | 50 | 2025 | 584 | 635 | 1439 | 260 | 45 | 17.31% | 279 | 56 | 79.93% | 1 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 1621 | 1121 | 1523 | 483 | 849 | 431 | 54.9% | 9.5% | 90.5% | 100.0 | FUN | |
Total | 66 | 31 | 26 | 0 | 2 | 1 | 5 | 1 | 212 | 193 | 19 | 78 | 0.591 | 212 | 370 | 582 | 5 | 3 | 69 | 88 | 48 | 8 | 2234 | 664 | 791 | 753 | 50 | 2025 | 584 | 635 | 1439 | 260 | 45 | 17.31% | 279 | 56 | 79.93% | 1 | 1261 | 2447 | 51.53% | 1122 | 2302 | 48.74% | 487 | 1029 | 47.33% | 1621 | 1121 | 1523 | 483 | 849 | 431 | 54.9% | 9.5% | 90.5% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2447 |
Neutral Zone Start | 1029 |
Defensive Zone Start | 2302 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2870 |
Faceoffs Lost | 2908 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.1 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 33.5 | 30.68 |
Overtime | 34.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.1 | 2.67 |
Overtime | 3.2 | 2.83 |
Even Strenght Goal | 161 |
---|---|
PP Goal | 45 |
PK Goal | 1 |
Empty Net Goal | 5 |
Home | Away | |
---|---|---|
Win | 16 | 22 |
Lost | 14 | 12 |
Overtime Lost | 1 | 1 |
PP Attempt | 260 |
---|---|
PP Goal | 45 |
PK Attempt | 279 |
PK Goal Against | 56 |
Home | |
---|---|
Shots For | 33.8 |
Shots Against | 30.7 |
Goals For | 3.2 |
Goals Against | 2.9 |
Hits | 21.8 |
Shots Blocked | 8.8 |
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 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
96,080,000$ | 0$ | 87,842,476$ | -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 | 178087 | 147628 | 59691 | 118284 | 29581 |
Attendance PCT | 95.75% | 95.24% | 96.28% | 95.39% | 95.42% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
10 | 17202 - 95.57% | 1,577,985$ | 48,917,526$ | 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 |
---|---|---|---|
72,992,681$ | 490,204$ | 72,155,948$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
15,779,847$ | 32 | 495,306$ | 15,849,792$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
16,202,160$ | 96,080,000$ | 60,859,446$ | 60,437,133$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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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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 |
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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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