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Full Scoreboard »» |
| Los Angeles Kings 27-14-5, 59pts · 4th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jack Hughes | 86 | C/LW | 100.00 | 54 | 32 | 92 | 87 | 68 | 89 | 82 | 77 | 76 | 82 | 84 | 62 | 80 | 67 | 66 | 0 | 61 | 88 | 24 | 8,000,000$/5yrs | |||
Brad Marchand | 0 | LW | 100.00 | 68 | 32 | 70 | 76 | 66 | 85 | 88 | 74 | 58 | 75 | 81 | 66 | 78 | 89 | 94 | 0 | 65 | 86 | 37 | 3,850,000$/2yrs | |||
Seth Jarvis | 13 | C/LW/RW | 100.00 | 71 | 32 | 92 | 79 | 67 | 87 | 88 | 76 | 60 | 74 | 84 | 73 | 80 | 65 | 65 | 0 | 65 | 86 | 23 | 6,250,000$/3yrs | |||
Travis Konecny | 11 | LW/RW | 100.00 | 70 | 36 | 78 | 77 | 67 | 88 | 90 | 73 | 59 | 82 | 74 | 66 | 73 | 74 | 72 | 0 | 66 | 84 | 28 | 8,750,000$/8yrs | |||
Anton Lundell | 15 | C/LW | 100.00 | 72 | 32 | 84 | 73 | 74 | 84 | 90 | 68 | 86 | 72 | 72 | 76 | 70 | 66 | 64 | 0 | 65 | 81 | 24 | 5,000,000$/5yrs | |||
Juraj Slafkovsky | 0 | LW | 100.00 | 81 | 37 | 79 | 71 | 94 | 85 | 90 | 68 | 59 | 72 | 70 | 63 | 69 | 60 | 58 | 0 | 64 | 79 | 21 | 7,600,000$/8yrs | |||
Jordan Martinook | 0 | C/LW/RW | 100.00 | 71 | 35 | 89 | 63 | 76 | 80 | 89 | 63 | 61 | 66 | 67 | 74 | 65 | 82 | 80 | 0 | 65 | 78 | 33 | 2,000,000$/2yrs | |||
Ridly Greig | 0 | C/LW | 100.00 | 75 | 39 | 68 | 64 | 72 | 83 | 89 | 65 | 79 | 67 | 65 | 72 | 65 | 64 | 61 | 0 | 66 | 76 | 23 | 3,250,000$/4yrs | |||
Corey Perry | 0 | RW | 100.00 | 60 | 47 | 72 | 59 | 84 | 75 | 89 | 63 | 60 | 62 | 71 | 52 | 67 | 94 | 91 | 0 | 66 | 75 | 40 | 2,000,000$/1yrs | |||
Emil Heineman (R) | 0 | LW | 100.00 | 89 | 33 | 89 | 62 | 75 | 77 | 86 | 61 | 59 | 60 | 69 | 59 | 65 | 65 | 64 | 0 | 54 | 74 | 24 | 1,500,000$/2yrs | |||
Sammy Blais | 0 | LW/RW | 100.00 | 72 | 41 | 70 | 60 | 82 | 70 | 80 | 64 | 38 | 65 | 59 | 67 | 62 | 70 | 67 | 0 | 23 | 73 | 29 | 1,300,000$/1yrs | |||
John Beecher | 0 | C | 100.00 | 68 | 34 | 87 | 56 | 86 | 73 | 86 | 52 | 78 | 58 | 55 | 74 | 54 | 66 | 65 | 0 | 65 | 70 | 24 | 900,000$/2yrs | |||
Aaron Ekblad (A) | 5 | D | 100.00 | 73 | 36 | 72 | 71 | 87 | 93 | 85 | 68 | 30 | 75 | 57 | 78 | 63 | 75 | 73 | 0 | 19 | 83 | 29 | 6,000,000$/6yrs | |||
Morgan Rielly | 0 | D | 100.00 | 58 | 36 | 92 | 68 | 86 | 90 | 90 | 61 | 30 | 75 | 62 | 61 | 61 | 79 | 78 | 0 | 71 | 80 | 31 | 7,500,000$/5yrs | |||
Philip Broberg (R) | 0 | D | 100.00 | 62 | 33 | 93 | 64 | 81 | 90 | 88 | 58 | 30 | 68 | 61 | 69 | 59 | 66 | 65 | 0 | 55 | 77 | 24 | 900,000$/1yrs | |||
Christopher Tanev | 0 | D | 100.00 | 60 | 33 | 88 | 55 | 77 | 89 | 88 | 61 | 30 | 64 | 55 | 77 | 58 | 85 | 84 | 0 | 65 | 76 | 36 | 4,500,000$/3yrs | |||
Dylan DeMelo | 0 | D | 100.00 | 75 | 33 | 80 | 56 | 76 | 90 | 90 | 59 | 30 | 65 | 55 | 72 | 57 | 80 | 78 | 0 | 65 | 76 | 32 | 4,000,000$/3yrs | |||
Brett Kulak | 0 | D | 100.00 | 57 | 33 | 91 | 56 | 78 | 87 | 90 | 56 | 30 | 62 | 58 | 68 | 57 | 79 | 78 | 0 | 65 | 73 | 32 | 3,000,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Joel Eriksson Ek | 14 | C | 90.97 | 76 | 33 | 84 | 73 | 83 | 87 | 83 | 71 | 89 | 72 | 73 | 74 | 72 | 74 | 72 | 0 | 44 | 82 | 28 | 5,250,000$/4yrs | |||
Vincent Desharnais | 0 | D | 100.00 | 75 | 44 | 63 | 55 | 89 | 81 | 80 | 54 | 30 | 56 | 50 | 74 | 52 | 74 | 71 | 0 | 69 | 71 | 29 | 1,750,000$/1yrs | |||
| TEAM AVERAGE | 99.50 | 69 | 36 | 82 | 66 | 78 | 84 | 87 | 65 | 54 | 69 | 66 | 69 | 65 | 74 | 72 | 0 | 59 | 78 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lyon | 49 | 98.00 | 80 | 84 | 76 | 81 | 83 | 78 | 84 | 88 | 85 | 88 | 84 | 81 | 85 | 0 | 76 | 87 | 33 | 1,500,000$/2yrs |
Hunter Shepard | 0 | 100.00 | 66 | 75 | 67 | 82 | 63 | 75 | 69 | 66 | 75 | 72 | 70 | 72 | 73 | 0 | 38 | 76 | 30 | 900,000$/1yrs |
| Scratches | ||||||||||||||||||||
Igor Shesterkin | 0 | 98.00 | 86 | 95 | 85 | 76 | 89 | 80 | 90 | 94 | 90 | 93 | 90 | 76 | 80 | 0 | 72 | 91 | 30 | 11,500,000$/8yrs |
| TEAM AVERAGE | 98.67 | 77 | 85 | 76 | 80 | 78 | 78 | 81 | 83 | 83 | 84 | 81 | 76 | 79 | 0 | 62 | 85 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Todd McLellan | 73 | 73 | 83 | 71 | 85 | 84 | 75 | CAN | 56 | 4 | 1,000,000$ |
| 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 | Travis Konecny | 11 | LW/RW | 46 | 20 | 29 | 49 | 13 | 29 | 5 | 90 | 193 | 52 | 124 | 10.36% | 12 | 19.35 | 4 | 5 | 9 | 149 | 0 | 1 | 1 | 22 | 4 | 1 | 43.62% | 94 | 0 | 0 | 0 | 0 | 1.10 | 2 | 4 | |
| 2 | Seth Jarvis | 13 | C/LW/RW | 46 | 19 | 26 | 45 | 15 | 8 | 0 | 50 | 206 | 46 | 156 | 9.22% | 12 | 18.01 | 3 | 6 | 9 | 137 | 0 | 1 | 1 | 6 | 3 | 1 | 42.13% | 235 | 0 | 0 | 0 | 0 | 1.09 | 1 | 4 | |
| 3 | Jack Hughes | 86 | C/LW | 46 | 17 | 27 | 44 | 14 | 19 | 5 | 13 | 186 | 48 | 144 | 9.14% | 4 | 22.21 | 1 | 7 | 8 | 138 | 2 | 0 | 2 | 188 | 6 | 1 | 48.66% | 1159 | 0 | 0 | 1 | 1 | 0.86 | 0 | 4 | |
| 4 | Joel Eriksson Ek | 14 | C | 32 | 14 | 23 | 37 | 7 | 10 | 0 | 54 | 139 | 45 | 88 | 10.07% | 10 | 19.30 | 2 | 6 | 8 | 101 | 0 | 1 | 1 | 71 | 4 | 3 | 57.18% | 850 | 0 | 0 | 0 | 0 | 1.20 | 0 | 0 | |
| 5 | Brad Marchand | 0 | LW | 46 | 17 | 19 | 36 | 6 | 30 | 0 | 74 | 170 | 42 | 125 | 10.00% | 9 | 18.21 | 4 | 4 | 8 | 152 | 0 | 0 | 0 | 19 | 4 | 1 | 49.32% | 73 | 0 | 0 | 0 | 1 | 0.86 | 0 | 2 | |
| 6 | Morgan Rielly | 0 | D | 46 | 2 | 24 | 26 | 9 | 20 | 10 | 37 | 48 | 14 | 34 | 4.17% | 67 | 24.39 | 0 | 6 | 6 | 152 | 0 | 1 | 1 | 160 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 7 | Dylan DeMelo | 0 | D | 46 | 2 | 21 | 23 | 10 | 60 | 0 | 117 | 59 | 14 | 36 | 3.39% | 72 | 23.12 | 2 | 6 | 8 | 134 | 0 | 0 | 0 | 139 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 8 | Christopher Tanev | 0 | D | 46 | 5 | 16 | 21 | 11 | 20 | 0 | 44 | 35 | 6 | 20 | 14.29% | 67 | 20.14 | 0 | 0 | 0 | 6 | 0 | 1 | 1 | 142 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 9 | Jordan Martinook | 0 | C/LW/RW | 46 | 7 | 13 | 20 | 5 | 6 | 0 | 17 | 80 | 16 | 72 | 8.75% | 5 | 12.68 | 0 | 5 | 5 | 50 | 2 | 0 | 2 | 102 | 1 | 1 | 42.86% | 126 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
| 10 | Anton Lundell | 15 | C/LW | 46 | 10 | 10 | 20 | -3 | 12 | 0 | 55 | 99 | 22 | 55 | 10.10% | 16 | 17.26 | 6 | 1 | 7 | 139 | 0 | 1 | 1 | 194 | 1 | 1 | 52.18% | 918 | 0 | 0 | 0 | 0 | 0.50 | 1 | 2 | |
| 11 | Ridly Greig | 0 | C/LW | 46 | 10 | 9 | 19 | 12 | 21 | 5 | 68 | 79 | 21 | 46 | 12.66% | 2 | 10.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 55.81% | 43 | 0 | 0 | 1 | 0 | 0.75 | 0 | 0 | |
| 12 | Aaron Ekblad | 5 | D | 25 | 5 | 12 | 17 | 7 | 22 | 0 | 74 | 32 | 16 | 24 | 15.63% | 43 | 22.61 | 3 | 1 | 4 | 78 | 0 | 0 | 0 | 74 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 13 | Vincent Desharnais | 0 | D | 44 | 5 | 10 | 15 | 4 | 59 | 5 | 88 | 34 | 10 | 19 | 14.71% | 53 | 17.16 | 1 | 2 | 3 | 130 | 0 | 0 | 0 | 54 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 14 | Brett Kulak | 0 | D | 46 | 2 | 9 | 11 | 2 | 6 | 0 | 17 | 22 | 6 | 18 | 9.09% | 38 | 14.67 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 15 | Juraj Slafkovsky | 0 | LW | 46 | 4 | 5 | 9 | -4 | 37 | 5 | 74 | 84 | 20 | 69 | 4.76% | 3 | 11.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.91% | 44 | 0 | 0 | 0 | 0 | 0.34 | 0 | 1 | |
| 16 | Emil Heineman | 0 | LW | 23 | 4 | 5 | 9 | 8 | 16 | 0 | 49 | 20 | 8 | 17 | 20.00% | 2 | 10.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 28.57% | 21 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |
| 17 | Corey Perry | 0 | RW | 46 | 3 | 4 | 7 | 0 | 19 | 15 | 11 | 41 | 13 | 26 | 7.32% | 3 | 10.06 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 55.88% | 34 | 0 | 0 | 0 | 0 | 0.30 | 0 | 1 | |
| 18 | Philip Broberg | 0 | D | 23 | 2 | 5 | 7 | 3 | 22 | 0 | 29 | 20 | 4 | 15 | 10.00% | 15 | 19.33 | 0 | 0 | 0 | 73 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 19 | John Beecher | 0 | C | 46 | 0 | 2 | 2 | -4 | 4 | 0 | 15 | 29 | 12 | 22 | 0.00% | 3 | 7.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.76% | 445 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
| 20 | Sammy Blais | 0 | LW/RW | 25 | 0 | 1 | 1 | -3 | 20 | 0 | 32 | 4 | 3 | 8 | 0.00% | 3 | 8.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 41.46% | 41 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | |
| Team Total or Average | 816 | 148 | 270 | 418 | 112 | 440 | 50 | 1008 | 1580 | 418 | 1118 | 9.37% | 439 | 16.45 | 26 | 49 | 75 | 1454 | 4 | 6 | 10 | 1226 | 26 | 10 | 50.45% | 4083 | 0 | 0 | 2 | 2 | 0.62 | 4 | 18 |
| 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 | 32 | 21 | 9 | 2 | 0.920 | 2.58 | 1930 | 0 | 1 | 83 | 1040 | 0 | 2 | 1 | 0.700 | 10 | 32 | 12 | 3 | 3 | 3 | |
| 2 | Alex Lyon | 15 | 6 | 5 | 3 | 0.901 | 3.00 | 859 | 2 | 1 | 43 | 434 | 0 | 0 | 0 | 0.625 | 8 | 14 | 32 | 1 | 0 | 1 | |
| Team Total or Average | 47 | 27 | 14 | 5 | 0.915 | 2.71 | 2789 | 2 | 2 | 126 | 1474 | 0 | 2 | 1 | 0.667 | 18 | 46 | 44 | 4 | 3 | 4 |
| Projected Total Cap Hit | 92,999,687$ |
| Projected Cap Space | 2,500,313$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 49,419,241$ |
| Players In Salary Cap | 22 |
| LTIR Players | 1 |
| 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 | 29 | 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 | |||||
Brett Kulak ![]() | D | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Christopher Tanev ![]() | D | 36 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 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 | |||||
Hunter Shepard | G | 30 | 900,000$ | 900,000$ | UFA | ||||||
| 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 | 28 | 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$ | ||||||
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 | 31 | 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 | ||||||
Ridly Greig ![]() | C/LW | 23 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||
Sammy Blais ![]() | LW/RW | 29 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Seth Jarvis ![]() | C/LW/RW | 23 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | |||||
Travis Konecny ![]() | LW/RW | 28 | 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$ |
Vincent Desharnais ![]() | D | 29 | 1,750,000$ | 1,750,000$ | UFA |
| 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 | 24 | 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 | |||||
Ivan Ryabkin | C | 18 | 0$ | ||||||||
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 | 31 | 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 | 27 | 1,000,000$ | 1,000,000$ | |||||||
Nikolai Knyzhov | D | 27 | 900,000$ | 900,000$ | |||||||
Nikolas Brouillard | D | 30 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 46 | 19 | 15 | 12 | 0 | 35 | 8 | 6 | 33 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 24 | 16 | 22 | 7 | 13 | 7 | 60.0% | 8.7% | 91.4% | 100.1 | DULL | |
| 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 36 | 9 | 8 | 16 | 6 | 26 | 8 | 4 | 24 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 1 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 30 | 22 | 22 | 6 | 11 | 6 | 50.0% | 8.3% | 84.6% | 92.9 | Unlucky | |
| 3 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 54 | 39 | 49 | 15 | 26 | 12 | 50.0% | 9.8% | 88.6% | 98.3 | FUN | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 24 | 11 | 3 | 10 | 0 | 36 | 8 | 12 | 21 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 22 | 15 | 24 | 7 | 12 | 5 | 83.3% | 20.8% | 97.2% | 118.1 | LUCKY | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 3 | 3 | 1 | 0 | 69 | 29 | 24 | 16 | 0 | 66 | 18 | 25 | 38 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 44 | 29 | 49 | 15 | 26 | 12 | 75.0% | 10.1% | 95.5% | 105.6 | LUCKY | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 36 | 14 | 7 | 15 | 0 | 35 | 10 | 11 | 33 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 23 | 16 | 22 | 6 | 13 | 6 | 75.0% | 13.9% | 97.1% | 111.0 | LUCKY | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 40 | 12 | 19 | 9 | 0 | 32 | 7 | 6 | 21 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 23 | 15 | 23 | 7 | 13 | 6 | 66.7% | 7.5% | 93.8% | 101.3 | DULL | |
| 8 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 44 | 30 | 49 | 15 | 25 | 12 | 30.0% | 6.8% | 88.8% | 95.5 | Unlucky | |
| 9 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 76 | 52 | 67 | 21 | 36 | 17 | 42.9% | 7.7% | 89.3% | 97.0 | Unlucky | |
| 10 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 22 | 16 | 24 | 8 | 12 | 6 | 100.0% | 17.5% | 100.0% | 117.5 | LUCKY | |
| 11 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 21 | 14 | 25 | 7 | 12 | 6 | 42.9% | 15.2% | 89.5% | 104.6 | FUN | |
| 12 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 49 | 31 | 45 | 15 | 25 | 12 | 37.5% | 3.7% | 86.4% | 90.1 | Unlucky | |
| 13 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 35 | 19 | 6 | 9 | 1 | 34 | 11 | 9 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 22 | 15 | 25 | 8 | 13 | 6 | 60.0% | 8.6% | 94.1% | 102.7 | DULL | |
| 14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 26 | 4 | 13 | 9 | 0 | 24 | 9 | 4 | 20 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 27 | 20 | 21 | 5 | 11 | 5 | 50.0% | 11.5% | 83.3% | 94.9 | FUN | |
| 15 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 23 | 17 | 24 | 6 | 11 | 6 | 28.6% | 11.1% | 84.4% | 95.5 | FUN | |
| 16 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 2 | 1 | 29 | 8 | 10 | 10 | 1 | 39 | 11 | 10 | 31 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 20 | 13 | 26 | 7 | 13 | 5 | 60.0% | 10.3% | 94.9% | 105.2 | LUCKY | |
| 17 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 70 | 49 | 72 | 21 | 36 | 18 | 63.6% | 10.6% | 93.9% | 104.5 | LUCKY | |
| 18 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 52 | 38 | 43 | 12 | 24 | 11 | 50.0% | 11.7% | 90.3% | 102.0 | FUN | |
| 19 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 1 | 1 | 25 | 8 | 4 | 11 | 2 | 37 | 8 | 8 | 15 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 23 | 16 | 25 | 9 | 14 | 6 | 66.7% | 8.0% | 97.3% | 105.3 | DULL | |
| 20 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 77 | 56 | 67 | 22 | 37 | 19 | 64.3% | 8.9% | 89.5% | 98.5 | Unlucky | |
| 21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 1 | 1 | 6 | 0 | 64 | 17 | 21 | 26 | 0 | 46 | 16 | 14 | 45 | 8 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 47 | 32 | 46 | 16 | 25 | 13 | 50.0% | 12.5% | 80.4% | 92.9 | FUN | |
| 22 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 71 | 50 | 71 | 21 | 36 | 18 | 75.0% | 9.3% | 93.4% | 102.7 | LUCKY | |
| 23 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 19 | 12 | 27 | 8 | 12 | 5 | 40.0% | 9.1% | 88.6% | 97.7 | FUN | |
| 24 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 49 | 34 | 44 | 13 | 26 | 13 | 50.0% | 6.8% | 92.1% | 98.8 | DULL | |
| 25 | 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 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 75 | 53 | 77 | 21 | 35 | 18 | 53.8% | 7.1% | 92.3% | 99.5 | DULL | |
| 26 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 2 | 2 | 1 | 65 | 22 | 16 | 26 | 1 | 61 | 20 | 31 | 36 | 7 | 1 | 14.29% | 10 | 2 | 80.00% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 46 | 31 | 49 | 16 | 25 | 12 | 44.4% | 7.7% | 88.5% | 96.2 | Unlucky | |
| 27 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 2 | 2 | 3 | 1 | 74 | 21 | 28 | 23 | 2 | 71 | 9 | 12 | 47 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 50 | 35 | 43 | 14 | 26 | 14 | 58.3% | 10.8% | 93.0% | 103.8 | LUCKY | |
| _Vs Division | 12 | 5 | 2 | 0 | 3 | 1 | 0 | 1 | 43 | 33 | 10 | 18 | 0.750 | 43 | 73 | 116 | 0 | 1 | 11 | 14 | 15 | 5 | 436 | 159 | 132 | 139 | 13 | 379 | 124 | 112 | 272 | 39 | 4 | 10.26% | 43 | 5 | 88.37% | 0 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 288 | 200 | 290 | 92 | 152 | 77 | 58.2% | 9.9% | 91.3% | 101.2 | LUCKY | |
| _Vs Conference | 29 | 13 | 8 | 0 | 5 | 2 | 0 | 1 | 100 | 81 | 19 | 39 | 0.672 | 100 | 181 | 281 | 0 | 2 | 26 | 42 | 27 | 7 | 1022 | 358 | 330 | 323 | 18 | 916 | 276 | 273 | 624 | 103 | 16 | 15.53% | 112 | 19 | 83.04% | 3 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 702 | 490 | 690 | 214 | 361 | 181 | 57.5% | 9.8% | 91.2% | 100.9 | LUCKY | |
| _Since Last GM Reset | 46 | 19 | 14 | 0 | 7 | 2 | 1 | 3 | 151 | 130 | 21 | 59 | 0.641 | 151 | 270 | 421 | 1 | 2 | 45 | 57 | 41 | 11 | 1592 | 531 | 520 | 518 | 41 | 1475 | 440 | 444 | 1015 | 169 | 26 | 15.38% | 176 | 29 | 83.52% | 4 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 1116 | 775 | 1097 | 338 | 579 | 287 | 55.3% | 9.5% | 91.2% | 100.7 | LUCKY | |
| Total | 46 | 19 | 14 | 0 | 7 | 2 | 1 | 3 | 151 | 130 | 21 | 59 | 0.641 | 151 | 270 | 421 | 1 | 2 | 45 | 57 | 41 | 11 | 1592 | 531 | 520 | 518 | 41 | 1475 | 440 | 444 | 1015 | 169 | 26 | 15.38% | 176 | 29 | 83.52% | 4 | 822 | 1676 | 49.05% | 869 | 1696 | 51.24% | 390 | 724 | 53.87% | 1116 | 775 | 1097 | 338 | 579 | 287 | 55.3% | 9.5% | 91.2% | 100.7 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1676 |
| Neutral Zone Start | 724 |
| Defensive Zone Start | 1696 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2081 |
| Faceoffs Lost | 2015 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.5 | 9.57 |
| 2nd Period | 22.8 | 20.31 |
| 3rd Period | 34.1 | 30.68 |
| Overtime | 35.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.1 | 2.67 |
| Overtime | 3.3 | 2.83 |
| Even Strenght Goal | 120 |
|---|---|
| PP Goal | 26 |
| PK Goal | 4 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 14 | 13 |
| Lost | 7 | 7 |
| Overtime Lost | 2 | 3 |
| PP Attempt | 169 |
|---|---|
| PP Goal | 26 |
| PK Attempt | 176 |
| PK Goal Against | 29 |
| Home | |
|---|---|
| Shots For | 34.6 |
| Shots Against | 32.1 |
| Goals For | 3.3 |
| Goals Against | 2.8 |
| Hits | 22.1 |
| Shots Blocked | 9.6 |
| Pim | 9.7 |
| 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 | @ | |||||||||||||
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| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 91,950,000$ | 0$ | 92,999,687$ | 3,550,000$ |
| 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 | 130837 | 108016 | 43052 | 87971 | 21780 |
| Attendance PCT | 94.81% | 93.93% | 93.59% | 95.62% | 94.70% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 18 | 17029 - 94.60% | 1,561,512$ | 35,914,784$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 91,950,000$ | 91,950,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 49,945,319$ | 478,906$ | 49,419,241$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 28,107,222$ | 91 | 484,115$ | 44,054,465$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 45,370,368$ | 91,950,000$ | 61,223,929$ | 43,960,783$ |
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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| 2028 | ||||||||
| 2029 | ||||||||
| 2030 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| 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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