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Full Scoreboard »» |
| Los Angeles Kings 41-17-8, 90pts · 2nd 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brad Marchand | 0 | LW | 100.00 | 65 | 32 | 73 | 80 | 66 | 85 | 87 | 81 | 56 | 79 | 89 | 65 | 85 | 90 | 95 | 0 | 80 | 90 | 37 | 3,850,000$/2yrs | |||
Jack Hughes | 86 | C/LW | 98.00 | 54 | 32 | 92 | 87 | 68 | 89 | 82 | 77 | 76 | 82 | 84 | 62 | 80 | 67 | 66 | 0 | 75 | 88 | 24 | 8,000,000$/5yrs | |||
Seth Jarvis | 13 | C/LW/RW | 99.00 | 71 | 32 | 92 | 79 | 67 | 87 | 88 | 76 | 60 | 74 | 84 | 73 | 80 | 65 | 65 | 0 | 80 | 86 | 24 | 6,250,000$/3yrs | |||
Travis Konecny | 11 | LW/RW | 99.00 | 70 | 36 | 78 | 77 | 67 | 88 | 90 | 73 | 59 | 82 | 74 | 66 | 73 | 74 | 72 | 0 | 82 | 84 | 29 | 8,750,000$/8yrs | |||
Juraj Slafkovsky | 0 | LW | 100.00 | 74 | 34 | 72 | 77 | 94 | 84 | 90 | 73 | 59 | 73 | 79 | 63 | 76 | 61 | 59 | 0 | 80 | 83 | 21 | 7,600,000$/8yrs | |||
Joel Eriksson Ek | 14 | C | 100.00 | 76 | 33 | 84 | 73 | 83 | 87 | 83 | 71 | 89 | 72 | 73 | 74 | 72 | 74 | 72 | 0 | 58 | 82 | 29 | 5,250,000$/4yrs | |||
Anton Lundell | 15 | C/LW | 100.00 | 71 | 32 | 81 | 74 | 74 | 86 | 90 | 70 | 90 | 73 | 75 | 73 | 72 | 66 | 64 | 0 | 80 | 82 | 24 | 5,000,000$/5yrs | |||
Corey Perry | 0 | RW | 100.00 | 59 | 47 | 68 | 65 | 84 | 77 | 85 | 68 | 58 | 71 | 72 | 51 | 70 | 94 | 91 | 0 | 81 | 79 | 40 | 2,000,000$/1yrs | |||
Jordan Martinook | 0 | C/LW/RW | 100.00 | 71 | 35 | 89 | 63 | 76 | 80 | 89 | 63 | 61 | 66 | 67 | 74 | 65 | 82 | 80 | 0 | 80 | 78 | 33 | 2,000,000$/2yrs | |||
Emil Heineman (R) | 0 | LW | 100.00 | 91 | 33 | 90 | 66 | 75 | 82 | 90 | 65 | 59 | 61 | 73 | 66 | 69 | 65 | 64 | 0 | 71 | 77 | 24 | 1,500,000$/2yrs | |||
Ridly Greig | 0 | C/LW | 100.00 | 75 | 39 | 68 | 64 | 72 | 83 | 89 | 65 | 79 | 67 | 65 | 72 | 65 | 64 | 61 | 0 | 81 | 76 | 23 | 3,250,000$/4yrs | |||
John Beecher | 0 | C | 100.00 | 68 | 34 | 87 | 56 | 86 | 73 | 86 | 52 | 78 | 58 | 55 | 74 | 54 | 66 | 65 | 0 | 66 | 70 | 24 | 900,000$/2yrs | |||
John Carlson | 0 | D | 100.00 | 62 | 34 | 89 | 73 | 86 | 93 | 89 | 69 | 30 | 80 | 63 | 79 | 66 | 86 | 85 | 0 | 63 | 86 | 36 | 8,000,000$/1yrs | |||
Aaron Ekblad (A) | 5 | D | 99.00 | 73 | 36 | 72 | 71 | 87 | 93 | 85 | 68 | 30 | 75 | 57 | 78 | 63 | 75 | 73 | 0 | 36 | 83 | 30 | 6,000,000$/6yrs | |||
Morgan Rielly | 0 | D | 100.00 | 60 | 34 | 91 | 69 | 86 | 90 | 90 | 62 | 30 | 76 | 63 | 64 | 63 | 79 | 78 | 0 | 82 | 81 | 32 | 7,500,000$/5yrs | |||
Dylan DeMelo | 0 | D | 100.00 | 74 | 33 | 78 | 59 | 76 | 89 | 90 | 62 | 30 | 67 | 58 | 77 | 60 | 80 | 78 | 0 | 80 | 78 | 32 | 4,000,000$/3yrs | |||
Radko Gudas | 0 | D | 100.00 | 91 | 40 | 70 | 57 | 80 | 86 | 88 | 60 | 30 | 64 | 53 | 81 | 57 | 85 | 88 | 0 | 41 | 78 | 35 | 3,500,000$/3yrs | |||
Philip Broberg (R) | 0 | D | 100.00 | 59 | 33 | 95 | 62 | 81 | 91 | 90 | 59 | 30 | 67 | 56 | 74 | 58 | 66 | 65 | 0 | 72 | 76 | 24 | 900,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.72 | 70 | 35 | 82 | 70 | 78 | 86 | 88 | 67 | 56 | 72 | 69 | 70 | 68 | 74 | 73 | 0 | 72 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Igor Shesterkin | 0 | 98.00 | 90 | 95 | 82 | 76 | 92 | 83 | 92 | 92 | 92 | 93 | 92 | 76 | 81 | 0 | 83 | 92 | 30 | 11,500,000$/8yrs |
Alex Lyon | 49 | 100.00 | 82 | 85 | 76 | 81 | 85 | 77 | 86 | 89 | 86 | 90 | 86 | 81 | 85 | 0 | 84 | 88 | 33 | 1,500,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.00 | 86 | 90 | 79 | 79 | 89 | 80 | 89 | 91 | 89 | 92 | 89 | 79 | 83 | 0 | 84 | 90 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Todd McLellan | 73 | 73 | 83 | 71 | 85 | 84 | 75 | CAN | 56 | 4 | 1,000,000$ |
| General Manager | Yannick Vézina-Roy |
|---|
| 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 | Seth Jarvis | 13 | C/LW/RW | 66 | 34 | 44 | 78 | 33 | 12 | 0 | 72 | 298 | 75 | 224 | 11.41% | 16 | 18.21 | 5 | 14 | 19 | 212 | 0 | 1 | 1 | 9 | 5 | 2 | 42.79% | 409 | 0 | 0 | 0 | 1 | 1.30 | 1 | 6 | |
| 2 | Travis Konecny | 11 | LW/RW | 66 | 27 | 44 | 71 | 7 | 44 | 10 | 119 | 259 | 80 | 172 | 10.42% | 14 | 19.38 | 6 | 11 | 17 | 229 | 0 | 1 | 1 | 25 | 4 | 3 | 44.72% | 123 | 0 | 0 | 0 | 0 | 1.11 | 2 | 6 | |
| 3 | Jack Hughes | 86 | C/LW | 66 | 25 | 40 | 65 | 12 | 28 | 10 | 15 | 294 | 68 | 194 | 8.50% | 8 | 22.26 | 5 | 8 | 13 | 202 | 2 | 1 | 3 | 269 | 8 | 1 | 48.71% | 1591 | 0 | 0 | 1 | 1 | 0.88 | 2 | 6 | |
| 4 | Brad Marchand | 0 | LW | 66 | 30 | 29 | 59 | 3 | 32 | 0 | 109 | 241 | 62 | 172 | 12.45% | 12 | 18.55 | 11 | 7 | 18 | 234 | 0 | 0 | 0 | 30 | 5 | 2 | 46.08% | 102 | 0 | 0 | 0 | 1 | 0.96 | 1 | 4 | |
| 5 | John Carlson | 0 | D | 64 | 12 | 47 | 59 | -2 | 68 | 0 | 117 | 134 | 44 | 89 | 8.96% | 105 | 24.27 | 4 | 18 | 22 | 193 | 0 | 1 | 1 | 202 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | |
| 6 | Joel Eriksson Ek | 14 | C | 49 | 20 | 34 | 54 | 23 | 22 | 0 | 68 | 190 | 60 | 120 | 10.53% | 18 | 19.18 | 3 | 9 | 12 | 155 | 0 | 1 | 1 | 107 | 5 | 3 | 55.01% | 1278 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | |
| 7 | Morgan Rielly | 0 | D | 66 | 8 | 34 | 42 | 13 | 28 | 10 | 52 | 73 | 24 | 52 | 10.96% | 93 | 24.38 | 4 | 9 | 13 | 231 | 0 | 1 | 1 | 223 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 8 | Dylan DeMelo | 0 | D | 66 | 3 | 30 | 33 | 14 | 82 | 0 | 170 | 85 | 24 | 55 | 3.53% | 109 | 23.06 | 2 | 9 | 11 | 184 | 0 | 0 | 0 | 207 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 9 | Anton Lundell | 15 | C/LW | 66 | 16 | 17 | 33 | -4 | 16 | 0 | 78 | 153 | 37 | 93 | 10.46% | 17 | 16.43 | 6 | 3 | 9 | 148 | 1 | 1 | 2 | 274 | 2 | 1 | 52.25% | 1336 | 0 | 0 | 0 | 0 | 0.61 | 1 | 4 | |
| 10 | Aaron Ekblad | 5 | D | 45 | 6 | 22 | 28 | 8 | 46 | 0 | 116 | 57 | 21 | 39 | 10.53% | 62 | 21.97 | 3 | 4 | 7 | 138 | 0 | 0 | 0 | 123 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 11 | Juraj Slafkovsky | 0 | LW | 66 | 10 | 16 | 26 | 14 | 52 | 10 | 114 | 136 | 30 | 96 | 7.35% | 5 | 13.14 | 1 | 2 | 3 | 54 | 0 | 0 | 0 | 0 | 2 | 0 | 40.00% | 65 | 0 | 0 | 0 | 0 | 0.60 | 0 | 1 | |
| 12 | Jordan Martinook | 0 | C/LW/RW | 66 | 9 | 15 | 24 | 8 | 6 | 0 | 27 | 111 | 22 | 91 | 8.11% | 8 | 11.84 | 0 | 5 | 5 | 62 | 2 | 0 | 2 | 141 | 1 | 1 | 42.33% | 163 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 13 | Radko Gudas | 0 | D | 64 | 7 | 16 | 23 | -11 | 133 | 15 | 254 | 103 | 37 | 62 | 6.80% | 100 | 21.61 | 5 | 0 | 5 | 163 | 1 | 0 | 1 | 204 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 14 | Ridly Greig | 0 | C/LW | 66 | 14 | 9 | 23 | 15 | 36 | 10 | 88 | 100 | 29 | 57 | 14.00% | 3 | 9.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 51.79% | 56 | 0 | 0 | 1 | 0 | 0.70 | 0 | 0 | |
| 15 | Philip Broberg | 0 | D | 43 | 3 | 12 | 15 | 13 | 24 | 0 | 43 | 34 | 12 | 32 | 8.82% | 27 | 18.48 | 1 | 2 | 3 | 151 | 0 | 0 | 0 | 1 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 16 | Emil Heineman | 0 | LW | 43 | 4 | 9 | 13 | 6 | 30 | 0 | 75 | 45 | 15 | 42 | 8.89% | 4 | 10.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 24.39% | 41 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 17 | Corey Perry | 0 | RW | 66 | 5 | 6 | 11 | -2 | 19 | 15 | 15 | 66 | 19 | 51 | 7.58% | 6 | 10.16 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 56 | 0 | 0 | 0 | 0 | 0.33 | 0 | 1 | |
| 18 | John Beecher | 0 | C | 58 | 0 | 3 | 3 | 1 | 4 | 0 | 17 | 34 | 13 | 25 | 0.00% | 4 | 7.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.96% | 571 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
| Team Total or Average | 1092 | 233 | 427 | 660 | 151 | 682 | 80 | 1549 | 2413 | 672 | 1666 | 9.66% | 611 | 17.31 | 56 | 101 | 157 | 2371 | 6 | 7 | 13 | 1822 | 38 | 16 | 50.25% | 5791 | 0 | 0 | 2 | 3 | 0.70 | 7 | 28 |
| 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 | 44 | 28 | 11 | 5 | 0.916 | 2.66 | 2663 | 6 | 1 | 118 | 1413 | 0 | 2 | 2 | 0.700 | 20 | 44 | 18 | 3 | 4 | 3 | |
| 2 | Alex Lyon | 23 | 13 | 6 | 3 | 0.909 | 2.78 | 1339 | 2 | 2 | 62 | 683 | 0 | 0 | 0 | 0.625 | 8 | 22 | 44 | 2 | 0 | 1 | |
| Team Total or Average | 67 | 41 | 17 | 8 | 0.914 | 2.70 | 4002 | 8 | 3 | 180 | 2096 | 0 | 2 | 2 | 0.679 | 28 | 66 | 62 | 5 | 4 | 4 |
| Projected Total Cap Hit | 95,381,723$ |
| Projected Cap Space | 118,277$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 78,666,893$ |
| Players In Salary Cap | 20 |
| LTIR Players | 0 |
| Kings Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad ![]() | D | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |
Alex Lyon ![]() | G | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Anton Lundell ![]() | C/LW | 24 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||
Brad Marchand ![]() | LW | 37 | 3,850,000$ | 3,850,000$ | 3,850,000$ | UFA | |||||
Corey Perry ![]() | RW | 40 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Dylan DeMelo ![]() | D | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Emil Heineman ![]() | LW | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | RFA | |||||
| Igor Shesterkin | G | 30 | 11,500,000$ | 11,500,000$ | 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 | 24 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Joel Eriksson Ek ![]() | C | 29 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||
John Beecher | C | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
John Carlson ![]() | D | 36 | 8,000,000$ | 8,000,000$ | UFA | ||||||
Jordan Martinook ![]() | C/LW/RW | 33 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Juraj Slafkovsky ![]() | LW | 21 | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ | 7,600,000$ |
Morgan Rielly ![]() | D | 32 | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA | ||
Philip Broberg | D | 24 | 900,000$ | 900,000$ | RFA | ||||||
Radko Gudas ![]() | D | 35 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Ridly Greig ![]() | C/LW | 23 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||
Seth Jarvis ![]() | C/LW/RW | 24 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | |||||
Travis Konecny ![]() | LW/RW | 29 | 8,750,000$ | 8,750,000$ | 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 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Jefferies | LW | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Alex Turcotte | C | 25 | 900,000$ | 900,000$ | RFA | ||||||
Bear Hughes | C | 24 | 800,000$ | 800,000$ | RFA | ||||||
Cameron Lund | C/LW/RW | 21 | 941,667$ | 941,667$ | 941,667$ | 941,667$ | RFA | ||||
Cole Beaudoin | C | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
Colin Swoyer | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Corey Schueneman | D | 30 | 900,000$ | 900,000$ | UFA | ||||||
Dennis Cesana | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Hunter Shepard | G | 30 | 900,000$ | 900,000$ | UFA | ||||||
Jani Nyman | LW/RW | 21 | 923,333$ | 923,333$ | RFA | ||||||
Jaret Anderson-Dolan | C | 26 | 800,000$ | 800,000$ | |||||||
Kai Schwindt | LW | 22 | 0$ | RFA | |||||||
Kristian Vesalainen | LW/RW | 26 | 0$ | ||||||||
Lukas Rousek | RW | 26 | 925,000$ | 925,000$ | |||||||
Luke Prokop | D | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
MacKenzie MacEachern | LW/RW | 32 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Mads Sogaard | G | 25 | 950,000$ | 950,000$ | RFA | ||||||
Malcolm Subban | G | 32 | 950,000$ | 950,000$ | UFA | ||||||
Mason Primeau | C | 24 | 800,000$ | 800,000$ | RFA | ||||||
Matej Blumel | LW | 25 | 950,000$ | 950,000$ | |||||||
Matt Kiersted | D | 27 | 850,000$ | 850,000$ | |||||||
Max Jones | LW | 28 | 1,000,000$ | 1,000,000$ | |||||||
Nikolai Knyzhov | D | 27 | 900,000$ | 900,000$ | |||||||
Nikolas Brouillard | D | 31 | 900,000$ | 900,000$ | UFA | ||||||
Noel Hoefenmayer | D | 27 | 800,000$ | 800,000$ | |||||||
Otto Koivula | LW | 27 | 800,000$ | 800,000$ | |||||||
Reilly Walsh | D | 26 | 0$ | ||||||||
Roni Hirvonen | C | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Tomas Nosek | C/LW | 33 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Trevor Janicke | RW | 25 | 800,000$ | 800,000$ | RFA | ||||||
Tristan Broz | C/LW | 23 | 925,000$ | 925,000$ | 925,000$ | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 78 | 35 | 21 | 22 | 0 | 72 | 15 | 18 | 50 | 4 | 1 | 25.00% | 9 | 4 | 55.56% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 49 | 33 | 44 | 14 | 25 | 13 | 60.0% | 9.0% | 88.9% | 97.9 | FUN | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 4 | 2 | 0 | 0 | 46 | 20 | 21 | 5 | 0 | 37 | 7 | 6 | 22 | 7 | 3 | 42.86% | 2 | 1 | 50.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 23 | 16 | 23 | 7 | 12 | 6 | 50.0% | 13.0% | 89.2% | 102.2 | FUN | |
| 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 5 | 0 | 1 | 0 | 72 | 22 | 17 | 29 | 7 | 47 | 16 | 22 | 42 | 9 | 0 | 0.00% | 4 | 2 | 50.00% | 1 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 59 | 44 | 42 | 14 | 25 | 14 | 50.0% | 8.3% | 83.0% | 91.3 | Unlucky | |
| 4 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 8 | 8 | 0 | 3 | 0.750 | 8 | 13 | 21 | 0 | 0 | 4 | 1 | 2 | 2 | 82 | 32 | 23 | 21 | 14 | 70 | 27 | 20 | 38 | 8 | 2 | 25.00% | 10 | 2 | 80.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 54 | 39 | 49 | 15 | 26 | 12 | 50.0% | 9.8% | 88.6% | 98.3 | FUN | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 3 | 1 | 4 | 0 | 76 | 27 | 25 | 24 | 0 | 50 | 8 | 18 | 40 | 9 | 2 | 22.22% | 9 | 0 | 100.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 55 | 41 | 40 | 15 | 24 | 12 | 66.7% | 10.5% | 94.0% | 104.5 | LUCKY | |
| 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 17 | 27 | 0 | 0 | 5 | 2 | 3 | 0 | 65 | 28 | 15 | 22 | 0 | 63 | 17 | 20 | 45 | 6 | 1 | 16.67% | 10 | 1 | 90.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 47 | 32 | 47 | 14 | 24 | 11 | 75.0% | 15.4% | 93.7% | 109.0 | LUCKY | |
| 7 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 6 | 1.000 | 10 | 17 | 27 | 0 | 0 | 3 | 5 | 2 | 0 | 116 | 38 | 41 | 37 | 0 | 88 | 22 | 27 | 56 | 12 | 2 | 16.67% | 10 | 1 | 90.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 74 | 51 | 67 | 22 | 38 | 19 | 66.7% | 8.6% | 94.3% | 102.9 | DULL | |
| 8 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 0 | 2 | 40 | 7 | 13 | 16 | 9 | 35 | 13 | 6 | 17 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 23 | 16 | 28 | 7 | 12 | 6 | 66.7% | 7.5% | 94.3% | 101.8 | DULL | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 3 | 5 | 2 | 0 | 74 | 23 | 21 | 30 | 0 | 77 | 18 | 23 | 62 | 11 | 3 | 27.27% | 9 | 0 | 100.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 45 | 30 | 48 | 14 | 25 | 12 | 63.6% | 13.5% | 94.8% | 108.3 | LUCKY | |
| 10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 5 | 3 | 2 | 0 | 82 | 26 | 36 | 20 | 0 | 63 | 14 | 17 | 40 | 6 | 2 | 33.33% | 6 | 1 | 83.33% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 49 | 35 | 44 | 14 | 25 | 12 | 72.7% | 12.2% | 93.7% | 105.8 | LUCKY | |
| 11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 5 | 9 | 0 | 0 | 3 | 1 | 0 | 0 | 59 | 16 | 28 | 15 | 0 | 80 | 14 | 24 | 40 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 44 | 30 | 49 | 15 | 25 | 12 | 30.0% | 6.8% | 88.8% | 95.5 | Unlucky | |
| 12 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.333 | 9 | 17 | 26 | 0 | 0 | 3 | 4 | 2 | 0 | 117 | 49 | 34 | 34 | 0 | 103 | 21 | 33 | 62 | 14 | 3 | 21.43% | 13 | 3 | 76.92% | 1 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 76 | 52 | 67 | 21 | 36 | 17 | 42.9% | 7.7% | 89.3% | 97.0 | Unlucky | |
| 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 2 | 1.000 | 7 | 13 | 20 | 0 | 1 | 4 | 2 | 1 | 0 | 40 | 20 | 10 | 10 | 0 | 41 | 12 | 8 | 19 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 22 | 16 | 24 | 8 | 12 | 6 | 100.0% | 17.5% | 100.0% | 117.5 | LUCKY | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 0 | 4 | 1 | 0 | 33 | 6 | 18 | 9 | 0 | 38 | 15 | 10 | 19 | 4 | 2 | 50.00% | 5 | 0 | 100.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 21 | 14 | 25 | 7 | 12 | 6 | 42.9% | 15.2% | 89.5% | 104.6 | FUN | |
| 15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 1 | 2 | 0 | 81 | 24 | 25 | 32 | 0 | 44 | 18 | 35 | 59 | 7 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 49 | 31 | 45 | 15 | 25 | 12 | 37.5% | 3.7% | 86.4% | 90.1 | Unlucky | |
| 16 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 1 | 2 | 81 | 35 | 14 | 24 | 13 | 63 | 26 | 20 | 37 | 6 | 2 | 33.33% | 5 | 1 | 80.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 49 | 34 | 50 | 15 | 26 | 12 | 44.4% | 7.4% | 90.5% | 97.9 | Unlucky | |
| 17 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 57 | 17 | 23 | 15 | 2 | 49 | 13 | 6 | 43 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 51 | 37 | 44 | 13 | 25 | 12 | 46.2% | 10.5% | 83.7% | 94.2 | FUN | |
| 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 27 | 12 | 3 | 12 | 0 | 32 | 8 | 6 | 18 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 23 | 17 | 24 | 6 | 11 | 6 | 28.6% | 11.1% | 84.4% | 95.5 | FUN | |
| 19 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 2 | 4 | 2 | 1 | 69 | 23 | 30 | 15 | 1 | 70 | 17 | 22 | 53 | 6 | 4 | 66.67% | 11 | 1 | 90.91% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 43 | 28 | 51 | 14 | 25 | 11 | 55.6% | 13.0% | 92.9% | 105.9 | LUCKY | |
| 20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 21 | 6 | 7 | 8 | 0 | 31 | 14 | 8 | 21 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 19 | 12 | 26 | 7 | 13 | 6 | 60.0% | 14.3% | 93.5% | 107.8 | LUCKY | |
| 21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 0.667 | 10 | 20 | 30 | 0 | 1 | 1 | 7 | 2 | 0 | 94 | 28 | 41 | 25 | 0 | 82 | 22 | 27 | 68 | 12 | 3 | 25.00% | 10 | 1 | 90.00% | 1 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 70 | 49 | 72 | 21 | 36 | 18 | 63.6% | 10.6% | 93.9% | 104.5 | LUCKY | |
| 22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 4 | 4 | 1 | 0 | 77 | 22 | 31 | 24 | 0 | 62 | 15 | 4 | 48 | 13 | 4 | 30.77% | 2 | 1 | 50.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 52 | 38 | 43 | 12 | 24 | 11 | 50.0% | 11.7% | 90.3% | 102.0 | FUN | |
| 23 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 1 | 0 | 0 | 2 | 3 | 1 | 55 | 15 | 17 | 21 | 2 | 70 | 23 | 16 | 37 | 7 | 1 | 14.29% | 7 | 0 | 100.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 45 | 31 | 50 | 16 | 27 | 12 | 41.7% | 10.9% | 90.0% | 100.9 | FUN | |
| 24 | 3 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 10 | 9 | 1 | 5 | 0.833 | 10 | 17 | 27 | 0 | 0 | 3 | 3 | 2 | 2 | 112 | 34 | 32 | 41 | 5 | 86 | 24 | 28 | 64 | 11 | 1 | 9.09% | 13 | 4 | 69.23% | 1 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 77 | 56 | 67 | 22 | 37 | 19 | 64.3% | 8.9% | 89.5% | 98.5 | Unlucky | |
| 25 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 14 | 0 | 4 | 0.500 | 14 | 23 | 37 | 0 | 0 | 5 | 2 | 7 | 0 | 115 | 30 | 44 | 41 | 0 | 123 | 35 | 30 | 72 | 16 | 3 | 18.75% | 15 | 2 | 86.67% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 88 | 59 | 101 | 32 | 50 | 25 | 47.8% | 12.2% | 88.6% | 100.8 | FUN | |
| 26 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 20 | 30 | 0 | 0 | 3 | 5 | 2 | 0 | 108 | 37 | 33 | 38 | 0 | 106 | 35 | 28 | 63 | 6 | 1 | 16.67% | 14 | 4 | 71.43% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 71 | 50 | 71 | 21 | 36 | 18 | 75.0% | 9.3% | 93.4% | 102.7 | LUCKY | |
| 27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 22 | 4 | 10 | 8 | 0 | 35 | 11 | 29 | 22 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 19 | 12 | 27 | 8 | 12 | 5 | 40.0% | 9.1% | 88.6% | 97.7 | FUN | |
| 28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 59 | 13 | 22 | 24 | 0 | 63 | 27 | 8 | 39 | 7 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 49 | 34 | 44 | 13 | 26 | 13 | 50.0% | 6.8% | 92.1% | 98.8 | DULL | |
| 29 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 8 | 7 | 1 | 4 | 0.667 | 8 | 13 | 21 | 0 | 0 | 3 | 4 | 1 | 2 | 112 | 41 | 36 | 33 | 9 | 91 | 48 | 32 | 74 | 10 | 1 | 10.00% | 12 | 1 | 91.67% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 75 | 53 | 77 | 21 | 35 | 18 | 53.8% | 7.1% | 92.3% | 99.5 | DULL | |
| 30 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 8 | 7 | 6 | 0.750 | 15 | 25 | 40 | 0 | 1 | 4 | 5 | 5 | 1 | 133 | 44 | 44 | 44 | 1 | 124 | 35 | 51 | 84 | 20 | 3 | 15.00% | 20 | 2 | 90.00% | 1 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 93 | 63 | 97 | 32 | 50 | 25 | 66.7% | 11.3% | 93.5% | 104.8 | LUCKY | |
| 31 | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 1.000 | 12 | 19 | 31 | 0 | 0 | 3 | 3 | 4 | 2 | 111 | 34 | 39 | 35 | 3 | 103 | 20 | 20 | 69 | 10 | 1 | 10.00% | 8 | 1 | 87.50% | 0 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 77 | 54 | 66 | 21 | 38 | 20 | 61.1% | 10.8% | 92.2% | 103.0 | LUCKY | |
| _Vs Division | 19 | 8 | 4 | 0 | 4 | 1 | 0 | 2 | 69 | 51 | 18 | 27 | 0.711 | 69 | 117 | 186 | 0 | 2 | 25 | 19 | 21 | 7 | 670 | 239 | 208 | 209 | 26 | 617 | 191 | 179 | 405 | 71 | 11 | 15.49% | 73 | 11 | 84.93% | 1 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 455 | 314 | 461 | 145 | 240 | 121 | 59.2% | 10.3% | 91.7% | 102.0 | LUCKY | |
| _Vs Conference | 38 | 17 | 10 | 0 | 6 | 3 | 0 | 2 | 132 | 105 | 27 | 51 | 0.671 | 132 | 234 | 366 | 0 | 3 | 42 | 49 | 35 | 9 | 1334 | 460 | 433 | 420 | 33 | 1201 | 351 | 344 | 798 | 143 | 24 | 16.78% | 144 | 25 | 82.64% | 4 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 923 | 642 | 903 | 282 | 475 | 238 | 57.4% | 9.9% | 91.3% | 101.2 | LUCKY | |
| _Since Last GM Reset | 66 | 31 | 17 | 0 | 8 | 4 | 2 | 4 | 233 | 186 | 47 | 90 | 0.682 | 233 | 412 | 645 | 2 | 3 | 85 | 79 | 59 | 15 | 2314 | 768 | 774 | 734 | 66 | 2098 | 610 | 622 | 1423 | 258 | 48 | 18.60% | 250 | 40 | 84.00% | 5 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 1606 | 1118 | 1568 | 490 | 832 | 414 | 55.9% | 10.1% | 91.1% | 101.2 | Unlucky | |
| Total | 66 | 31 | 17 | 0 | 8 | 4 | 2 | 4 | 233 | 186 | 47 | 90 | 0.682 | 233 | 412 | 645 | 2 | 3 | 85 | 79 | 59 | 15 | 2314 | 768 | 774 | 734 | 66 | 2098 | 610 | 622 | 1423 | 258 | 48 | 18.60% | 250 | 40 | 84.00% | 5 | 1217 | 2471 | 49.25% | 1231 | 2418 | 50.91% | 545 | 1059 | 51.46% | 1606 | 1118 | 1568 | 490 | 832 | 414 | 55.9% | 10.1% | 91.1% | 101.2 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2471 |
| Neutral Zone Start | 1059 |
| Defensive Zone Start | 2418 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2993 |
| Faceoffs Lost | 2955 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.6 | 9.57 |
| 2nd Period | 23.4 | 20.31 |
| 3rd Period | 34.5 | 30.68 |
| Overtime | 35.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.3 | 0.64 |
| 2nd Period | 2.5 | 1.65 |
| 3rd Period | 3.4 | 2.67 |
| Overtime | 3.6 | 2.83 |
| Even Strenght Goal | 178 |
|---|---|
| PP Goal | 48 |
| PK Goal | 5 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 21 | 20 |
| Lost | 8 | 9 |
| Overtime Lost | 3 | 5 |
| PP Attempt | 258 |
|---|---|
| PP Goal | 48 |
| PK Attempt | 250 |
| PK Goal Against | 40 |
| Home | |
|---|---|
| Shots For | 35.1 |
| Shots Against | 31.8 |
| Goals For | 3.5 |
| Goals Against | 2.8 |
| Hits | 21.6 |
| Shots Blocked | 9.2 |
| Pim | 9.4 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-08 | @ | Avalanche1,Kings3 | RECAP | |||||||||||
| 2025-10-09 | @ | Kings4,Golden Knights3 (OT) | RECAP | |||||||||||
| 2025-10-12 | @ | Kings3,Jets2 (OT) | RECAP | |||||||||||
| 2025-10-14 | @ | Kings1,Wild2 | RECAP | |||||||||||
| 2025-10-17 | @ | Penguins2,Kings0 | RECAP | |||||||||||
| 2025-10-19 | @ | Hurricanes1,Kings5 | RECAP | |||||||||||
| 2025-10-22 | @ | Kings3,Blues4 | RECAP | |||||||||||
| 2025-10-24 | @ | Kings4,Stars2 | RECAP | |||||||||||
| 2025-10-26 | @ | Kings5,Predators4 | RECAP | |||||||||||
| 2025-10-27 | @ | Kings2,Blackhawks3 | RECAP | |||||||||||
| 2025-10-29 | @ | Kings2,Sharks3 (SO) | RECAP | |||||||||||
| 2025-10-31 | @ | Red Wings1,Kings5 | RECAP | |||||||||||
| 2025-11-02 | @ | Devils4,Kings3 (SO) | RECAP | |||||||||||
| 2025-11-05 | @ | Jets3,Kings2 (OT) | RECAP | |||||||||||
| 2025-11-07 | @ | Panthers3,Kings5 | RECAP | |||||||||||
| 2025-11-10 | @ | Kings4,Penguins3 | RECAP | |||||||||||
| 2025-11-12 | @ | Kings3,Canadiens2 | RECAP | |||||||||||
| 2025-11-14 | @ | Kings2,Maple Leafs4 | RECAP | |||||||||||
| 2025-11-16 | @ | Kings4,Senators5 (SO) | RECAP | |||||||||||
| 2025-11-18 | @ | Kings4,Capitals5 | RECAP | |||||||||||
| 2025-11-21 | @ | Kings2,Sharks3 (OT) | RECAP | |||||||||||
| 2025-11-22 | @ | Bruins2,Kings3 (OT) | RECAP | |||||||||||
| 2025-11-25 | @ | Senators3,Kings4 (SO) | RECAP | |||||||||||
| 2025-11-29 | @ | Kings5,Ducks3 | RECAP | |||||||||||
| 2025-11-30 | @ | Canucks0,Kings7 | RECAP | |||||||||||
| 2025-12-03 | @ | Capitals4,Kings0 | RECAP | |||||||||||
| 2025-12-05 | @ | Blackhawks0,Kings2 | RECAP | |||||||||||
| 2025-12-07 | @ | Blackhawks2,Kings6 | RECAP | |||||||||||
| 2025-12-09 | @ | Kings3,Mammoth5 | RECAP | |||||||||||
| 2025-12-11 | @ | Kings3,Kraken2 (OT) | RECAP | |||||||||||
| 2025-12-14 | @ | Flames3,Kings4 | RECAP | |||||||||||
| 2025-12-16 | @ | Kings4,Stars2 | RECAP | |||||||||||
| 2025-12-18 | @ | Kings4,Panthers3 | RECAP | |||||||||||
| 2025-12-19 | @ | Kings1,Lightning3 | RECAP | |||||||||||
| 2025-12-23 | @ | Blue Jackets1,Kings2 (OT) | RECAP | |||||||||||
| 2025-12-24 | @ | Kraken3,Kings5 | RECAP | |||||||||||
| 2025-12-28 | @ | Ducks6,Kings3 | RECAP | |||||||||||
| 2025-12-30 | @ | Kings4,Avalanche2 | RECAP | |||||||||||
| 2026-01-02 | @ | Lightning3,Kings2 | RECAP | |||||||||||
| 2026-01-04 | @ | Wild7,Kings4 | RECAP | |||||||||||
| 2026-01-06 | @ | Wild2,Kings4 | RECAP | |||||||||||
| 2026-01-08 | @ | Sharks1,Kings4 | RECAP | |||||||||||
| 2026-01-10 | @ | Kings5,Jets4 (OT) | RECAP | |||||||||||
| 2026-01-11 | @ | Kings3,Oilers2 (OT) | RECAP | |||||||||||
| 2026-01-13 | @ | Stars3,Kings2 | RECAP | |||||||||||
| 2026-01-15 | @ | Golden Knights4,Kings1 | RECAP | |||||||||||
| 2026-01-17 | @ | Ducks2,Kings4 | RECAP | |||||||||||
| 2026-01-18 | @ | Kings2,Ducks3 | RECAP | |||||||||||
| 2026-01-21 | @ | Rangers2,Kings3 (SO) | RECAP | |||||||||||
| 2026-01-25 | @ | Kings3,Blues4 (OT) | RECAP | |||||||||||
| 2026-01-27 | @ | Kings4,Blue Jackets6 | RECAP | |||||||||||
| 2026-01-28 | @ | Kings5,Red Wings3 | RECAP | |||||||||||
| 2026-01-30 | @ | Kings3,Sabres2 | RECAP | |||||||||||
| 2026-02-01 | @ | Kings6,Flyers4 | RECAP | |||||||||||
| 2026-02-02 | @ | Kings5,Hurricanes3 | RECAP | |||||||||||
| 2026-02-05 | @ | Kraken3,Kings4 (OT) | RECAP | |||||||||||
| 2026-02-06 | @ | Kings5,Golden Knights0 | RECAP | |||||||||||
| 2026-02-26 | @ | Golden Knights1,Kings5 | RECAP | |||||||||||
| 2026-02-27 | @ | Oilers4,Kings3 (SO) | RECAP | |||||||||||
| 2026-03-01 | @ | Flames5,Kings3 | RECAP | |||||||||||
| 2026-03-03 | @ | Avalanche2,Kings3 | RECAP | |||||||||||
| 2026-03-06 | @ | Islanders2,Kings5 | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-08 | @ | Canadiens2,Kings7 | RECAP | |||||||||||
| 2026-03-11 | @ | Kings6,Bruins3 | RECAP | |||||||||||
| 2026-03-14 | @ | Kings3,Islanders1 | RECAP | |||||||||||
| 2026-03-15 | @ | Kings3,Devils4 (OT) | RECAP | |||||||||||
| 2026-03-17 | @ | |||||||||||||
| 2026-03-20 | @ | |||||||||||||
| 2026-03-22 | @ | |||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 97,250,000$ | 0$ | 95,381,723$ | -1,750,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| 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 | 183202 | 151580 | 60556 | 122506 | 30408 |
| Attendance PCT | 95.42% | 94.74% | 94.62% | 95.71% | 95.03% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 9 | 17133 - 95.18% | 1,571,323$ | 50,282,326$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 97,250,000$ | 97,250,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 79,495,047$ | 506,510$ | 78,666,893$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 14,141,904$ | 33 | 511,719$ | 16,886,727$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 17,247,024$ | 97,250,000$ | 45,072,721$ | 41,967,601$ |
Rookie
Injured
Cold Streak
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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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| 2026 | ||||||||
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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 |
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| 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. |
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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. |
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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 |
|---|---|---|---|---|---|
| Chase Wutzke | 2024 | 157 | |||
| Connor Hvidston | 2022 | 184 | |||
| Eamon Powell | 2020 | 88 | |||
| Felix Farhammar | 2025 | 224 | |||
| Frederik Nissen | 2019 | 140 | |||
| Ilyas Magomedsultanov | 2025 | 142 | |||
| Jack Phelan | 2023 | 149 | |||
| Jake Lee | 2019 | 118 | |||
| Jakub Vondras | 2022 | 190 | |||
| Kieren Dervin | 2025 | 87 | |||
| Kristian Epperson | 2025 | 64 | |||
| Linus Eriksson | 2024 | 63 | |||
| Mans Forsfjall | 2020 | 153 | |||
| Pyotr Andreyanov | 2025 | 60 | |||
| Redmond Savage | 2021 | 107 | |||
| Rieger Lorenz | 2022 | 53 | |||
| Stanislav Yarovoy | 2023 | 136 | |||
| Timofey Spitserov | |||||
| Trent Swick | 2024 | 198 | |||
| Veeti Miettinen | 2020 | 83 | |||
| Will Murphy | 2025 | 192 | |||
| Zion Nybeck | 2020 | 33 |
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