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Full Scoreboard »» |
| Los Angeles Kings 19-8-5, 43pts · 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 | 91 | 88 | 68 | 91 | 84 | 79 | 74 | 85 | 82 | 62 | 81 | 66 | 65 | 0 | 57 | 88 | 24 | 8,000,000$/5yrs | |||
Brad Marchand | 0 | LW | 100.00 | 64 | 32 | 72 | 77 | 66 | 85 | 90 | 78 | 57 | 74 | 88 | 61 | 83 | 89 | 94 | 0 | 57 | 87 | 37 | 3,850,000$/2yrs | |||
Travis Konecny | 11 | LW/RW | 100.00 | 70 | 35 | 74 | 80 | 67 | 90 | 90 | 76 | 60 | 79 | 78 | 70 | 77 | 73 | 70 | 0 | 58 | 86 | 28 | 8,750,000$/8yrs | |||
Joel Eriksson Ek | 14 | C | 100.00 | 80 | 33 | 77 | 75 | 83 | 90 | 84 | 75 | 89 | 73 | 78 | 80 | 76 | 73 | 71 | 0 | 44 | 85 | 28 | 5,250,000$/4yrs | |||
Seth Jarvis | 13 | C/LW/RW | 100.00 | 72 | 32 | 93 | 77 | 67 | 88 | 89 | 76 | 72 | 75 | 81 | 75 | 79 | 64 | 64 | 0 | 57 | 85 | 23 | 6,250,000$/3yrs | |||
Corey Perry | 0 | RW | 100.00 | 58 | 48 | 74 | 67 | 84 | 78 | 86 | 69 | 61 | 67 | 78 | 50 | 77 | 94 | 91 | 0 | 57 | 80 | 40 | 2,000,000$/1yrs | |||
Anton Lundell | 15 | C/LW | 100.00 | 69 | 32 | 85 | 72 | 74 | 86 | 90 | 67 | 90 | 73 | 69 | 73 | 68 | 66 | 64 | 0 | 57 | 80 | 24 | 5,000,000$/5yrs | |||
Juraj Slafkovsky | 0 | LW | 100.00 | 81 | 37 | 79 | 71 | 94 | 85 | 90 | 68 | 59 | 72 | 70 | 63 | 69 | 60 | 58 | 0 | 57 | 79 | 21 | 7,600,000$/8yrs | |||
Emil Heineman (R) | 0 | LW | 100.00 | 94 | 33 | 83 | 67 | 75 | 79 | 90 | 66 | 30 | 62 | 76 | 60 | 71 | 65 | 63 | 0 | 46 | 78 | 24 | 1,500,000$/2yrs | |||
Jordan Martinook | 0 | C/LW/RW | 100.00 | 67 | 33 | 88 | 63 | 76 | 81 | 90 | 64 | 61 | 66 | 67 | 72 | 65 | 80 | 79 | 0 | 57 | 77 | 33 | 2,000,000$/2yrs | |||
Ridly Greig | 0 | C/LW | 100.00 | 77 | 39 | 71 | 63 | 72 | 82 | 88 | 65 | 77 | 65 | 66 | 71 | 65 | 63 | 60 | 0 | 58 | 76 | 23 | 3,250,000$/4yrs | |||
John Beecher | 0 | C | 100.00 | 74 | 37 | 86 | 56 | 86 | 74 | 85 | 55 | 81 | 57 | 59 | 75 | 57 | 65 | 63 | 0 | 57 | 71 | 24 | 900,000$/2yrs | |||
Morgan Rielly | 0 | D | 100.00 | 65 | 37 | 89 | 72 | 86 | 94 | 89 | 66 | 30 | 79 | 61 | 65 | 63 | 78 | 76 | 0 | 63 | 83 | 31 | 7,500,000$/5yrs | |||
Dylan DeMelo | 0 | D | 100.00 | 78 | 33 | 84 | 58 | 76 | 92 | 90 | 62 | 30 | 67 | 55 | 74 | 58 | 79 | 77 | 0 | 57 | 78 | 32 | 4,000,000$/3yrs | |||
Christopher Tanev | 0 | D | 100.00 | 60 | 33 | 88 | 55 | 77 | 89 | 88 | 61 | 30 | 64 | 55 | 77 | 58 | 85 | 84 | 0 | 57 | 76 | 35 | 4,500,000$/3yrs | |||
Philip Broberg (R) | 0 | D | 100.00 | 62 | 33 | 92 | 64 | 81 | 88 | 77 | 57 | 30 | 68 | 62 | 65 | 59 | 65 | 64 | 0 | 47 | 76 | 24 | 900,000$/1yrs | |||
Brett Kulak | 0 | D | 100.00 | 63 | 33 | 89 | 57 | 78 | 86 | 90 | 57 | 30 | 63 | 58 | 67 | 58 | 77 | 76 | 0 | 57 | 74 | 31 | 3,000,000$/2yrs | |||
Vincent Desharnais | 0 | D | 100.00 | 73 | 34 | 50 | 55 | 89 | 82 | 90 | 56 | 30 | 56 | 50 | 80 | 53 | 74 | 69 | 0 | 57 | 72 | 29 | 1,750,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Sammy Blais | 0 | LW/RW | 100.00 | 94 | 38 | 80 | 55 | 82 | 72 | 73 | 54 | 57 | 59 | 53 | 60 | 54 | 73 | 71 | 0 | 37 | 69 | 29 | 1,300,000$/1yrs | |||
Aaron Ekblad (A) | 5 | D | 100.00 | 75 | 36 | 67 | 69 | 87 | 93 | 82 | 67 | 30 | 73 | 58 | 77 | 63 | 74 | 71 | 0 | 33 | 82 | 29 | 6,000,000$/6yrs | |||
| TEAM AVERAGE | 100.00 | 72 | 35 | 81 | 67 | 78 | 85 | 87 | 66 | 54 | 69 | 67 | 69 | 67 | 73 | 72 | 0 | 54 | 79 | |||||||
| 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 | 99.00 | 89 | 95 | 84 | 76 | 92 | 83 | 92 | 90 | 92 | 91 | 92 | 76 | 80 | 0 | 64 | 91 | 29 | 11,500,000$/8yrs |
Alex Lyon | 49 | 100.00 | 78 | 86 | 77 | 81 | 85 | 79 | 87 | 90 | 88 | 92 | 87 | 81 | 85 | 0 | 64 | 88 | 33 | 1,500,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.50 | 84 | 91 | 81 | 79 | 89 | 81 | 90 | 90 | 90 | 92 | 90 | 79 | 83 | 0 | 64 | 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 | Travis Konecny | 11 | LW/RW | 32 | 14 | 24 | 38 | 18 | 21 | 5 | 59 | 144 | 36 | 86 | 9.72% | 9 | 19.51 | 3 | 4 | 7 | 108 | 0 | 1 | 1 | 18 | 2 | 1 | 44.62% | 65 | 0 | 0 | 0 | 0 | 1.22 | 2 | 4 | |
| 2 | Jack Hughes | 86 | C/LW | 32 | 13 | 20 | 33 | 17 | 4 | 0 | 10 | 137 | 33 | 105 | 9.49% | 1 | 22.66 | 1 | 6 | 7 | 100 | 2 | 0 | 2 | 133 | 4 | 1 | 49.33% | 823 | 0 | 0 | 0 | 0 | 0.91 | 0 | 4 | |
| 3 | Seth Jarvis | 13 | C/LW/RW | 32 | 14 | 19 | 33 | 12 | 8 | 0 | 40 | 140 | 38 | 112 | 10.00% | 8 | 18.13 | 3 | 4 | 7 | 98 | 0 | 1 | 1 | 4 | 3 | 1 | 43.07% | 202 | 0 | 0 | 0 | 0 | 1.14 | 1 | 4 | |
| 4 | Brad Marchand | 0 | LW | 32 | 14 | 13 | 27 | 13 | 24 | 0 | 43 | 116 | 30 | 87 | 12.07% | 4 | 18.07 | 4 | 2 | 6 | 111 | 0 | 0 | 0 | 8 | 3 | 0 | 54.17% | 48 | 0 | 0 | 0 | 1 | 0.93 | 0 | 2 | |
| 5 | Joel Eriksson Ek | 14 | C | 20 | 10 | 14 | 24 | 6 | 4 | 0 | 35 | 86 | 29 | 55 | 11.63% | 6 | 19.53 | 1 | 5 | 6 | 64 | 0 | 0 | 0 | 48 | 3 | 3 | 59.65% | 508 | 0 | 0 | 0 | 0 | 1.23 | 0 | 0 | |
| 6 | Morgan Rielly | 0 | D | 32 | 2 | 18 | 20 | 14 | 18 | 10 | 27 | 28 | 12 | 26 | 7.14% | 52 | 24.38 | 0 | 5 | 5 | 109 | 0 | 1 | 1 | 111 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 7 | Aaron Ekblad | 5 | D | 23 | 5 | 12 | 17 | 8 | 20 | 0 | 67 | 32 | 16 | 23 | 15.63% | 42 | 23.33 | 3 | 1 | 4 | 77 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 8 | Dylan DeMelo | 0 | D | 32 | 0 | 16 | 16 | 15 | 42 | 0 | 85 | 43 | 10 | 23 | 0.00% | 51 | 23.01 | 0 | 5 | 5 | 98 | 0 | 0 | 0 | 93 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 9 | Jordan Martinook | 0 | C/LW/RW | 32 | 4 | 12 | 16 | 6 | 4 | 0 | 12 | 52 | 12 | 56 | 7.69% | 3 | 13.42 | 0 | 5 | 5 | 45 | 1 | 0 | 1 | 73 | 1 | 1 | 43.27% | 104 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | |
| 10 | Ridly Greig | 0 | C/LW | 32 | 7 | 8 | 15 | 12 | 13 | 5 | 46 | 51 | 16 | 25 | 13.73% | 2 | 12.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.11% | 36 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | |
| 11 | Christopher Tanev | 0 | D | 32 | 4 | 8 | 12 | 7 | 6 | 0 | 22 | 24 | 4 | 13 | 16.67% | 45 | 20.01 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 100 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 12 | Anton Lundell | 15 | C/LW | 32 | 6 | 5 | 11 | -8 | 12 | 0 | 36 | 60 | 16 | 34 | 10.00% | 12 | 17.13 | 4 | 0 | 4 | 101 | 0 | 1 | 1 | 130 | 1 | 0 | 52.07% | 628 | 0 | 0 | 0 | 0 | 0.40 | 1 | 2 | |
| 13 | Vincent Desharnais | 0 | D | 32 | 5 | 5 | 10 | -1 | 44 | 0 | 63 | 25 | 5 | 8 | 20.00% | 40 | 16.84 | 1 | 1 | 2 | 99 | 0 | 0 | 0 | 24 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 14 | Brett Kulak | 0 | D | 32 | 1 | 6 | 7 | -2 | 4 | 0 | 15 | 13 | 3 | 14 | 7.69% | 27 | 14.45 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 15 | Juraj Slafkovsky | 0 | LW | 32 | 1 | 4 | 5 | -6 | 20 | 0 | 58 | 56 | 16 | 51 | 1.79% | 2 | 11.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 30 | 0 | 0 | 0 | 0 | 0.28 | 0 | 1 | |
| 16 | Emil Heineman | 0 | LW | 9 | 1 | 3 | 4 | 3 | 8 | 0 | 18 | 3 | 3 | 6 | 33.33% | 0 | 9.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 6 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | |
| 17 | Corey Perry | 0 | RW | 32 | 3 | 0 | 3 | -7 | 12 | 10 | 10 | 22 | 9 | 18 | 13.64% | 2 | 9.95 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 27 | 0 | 0 | 0 | 0 | 0.19 | 0 | 1 | |
| 18 | Philip Broberg | 0 | D | 9 | 0 | 2 | 2 | 2 | 6 | 0 | 7 | 4 | 0 | 1 | 0.00% | 4 | 19.09 | 0 | 0 | 0 | 31 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 19 | John Beecher | 0 | C | 32 | 0 | 2 | 2 | -1 | 0 | 0 | 9 | 23 | 8 | 14 | 0.00% | 2 | 7.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.18% | 281 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
| 20 | Sammy Blais | 0 | LW/RW | 23 | 0 | 1 | 1 | -4 | 18 | 0 | 32 | 4 | 2 | 8 | 0.00% | 3 | 7.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 38.46% | 13 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
| Team Total or Average | 564 | 104 | 192 | 296 | 104 | 288 | 30 | 694 | 1063 | 298 | 765 | 9.78% | 315 | 16.51 | 20 | 38 | 58 | 1055 | 3 | 5 | 8 | 845 | 18 | 7 | 51.17% | 2771 | 0 | 0 | 0 | 1 | 0.64 | 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 | 20 | 13 | 5 | 2 | 0.925 | 2.37 | 1216 | 0 | 1 | 48 | 644 | 0 | 0 | 0 | 0.700 | 10 | 20 | 12 | 1 | 3 | 2 | |
| 2 | Alex Lyon | 12 | 6 | 3 | 3 | 0.904 | 2.88 | 729 | 2 | 1 | 35 | 363 | 0 | 0 | 0 | 0.625 | 8 | 12 | 20 | 1 | 0 | 1 | |
| Team Total or Average | 32 | 19 | 8 | 5 | 0.918 | 2.56 | 1945 | 2 | 2 | 83 | 1007 | 0 | 0 | 0 | 0.667 | 18 | 32 | 32 | 2 | 3 | 3 |
| Projected Total Cap Hit | 95,326,485$ |
| Projected Cap Space | 173,515$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 34,637,483$ |
| Players In Salary Cap | 22 |
| 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 | 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 | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Christopher Tanev ![]() | D | 35 | 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 | |||||
| Igor Shesterkin | G | 29 | 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 | |||||
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 | 21 | 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 | 31 | 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 | 26 | 800,000$ | 800,000$ | |||||||
Otto Koivula | LW | 27 | 800,000$ | 800,000$ | |||||||
Reilly Walsh | D | 26 | 0$ | ||||||||
Roni Hirvonen | C | 23 | 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 | 24 | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 22 | 15 | 24 | 7 | 12 | 5 | 83.3% | 20.8% | 97.2% | 118.1 | LUCKY | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 24 | 7 | 10 | 7 | 0 | 30 | 9 | 8 | 23 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 20 | 13 | 26 | 8 | 13 | 6 | 100.0% | 12.5% | 96.7% | 109.2 | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 44 | 30 | 49 | 15 | 25 | 12 | 30.0% | 6.8% | 88.8% | 95.5 | Unlucky | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 34 | 13 | 10 | 11 | 0 | 24 | 6 | 13 | 19 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 27 | 18 | 20 | 7 | 11 | 6 | 0.0% | 2.9% | 91.7% | 94.6 | DULL | |
| 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 21 | 14 | 25 | 7 | 12 | 6 | 42.9% | 15.2% | 89.5% | 104.6 | FUN | |
| 12 | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 27 | 20 | 21 | 5 | 11 | 5 | 50.0% | 11.5% | 83.3% | 94.9 | FUN | |
| 13 | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 23 | 17 | 24 | 6 | 11 | 6 | 28.6% | 11.1% | 84.4% | 95.5 | FUN | |
| 14 | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 20 | 13 | 26 | 7 | 13 | 5 | 60.0% | 10.3% | 94.9% | 105.2 | LUCKY | |
| 15 | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 70 | 49 | 72 | 21 | 36 | 18 | 63.6% | 10.6% | 93.9% | 104.5 | LUCKY | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 3 | 2 | 0 | 0 | 43 | 13 | 18 | 12 | 0 | 24 | 6 | 4 | 25 | 9 | 2 | 22.22% | 2 | 1 | 50.00% | 0 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 27 | 20 | 21 | 6 | 11 | 5 | 60.0% | 11.6% | 87.5% | 99.1 | FUN | |
| 17 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 84 | 27 | 24 | 31 | 2 | 51 | 20 | 20 | 38 | 8 | 1 | 12.50% | 9 | 2 | 77.78% | 1 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 52 | 38 | 43 | 14 | 24 | 12 | 57.1% | 6.0% | 90.2% | 96.1 | Unlucky | |
| 18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 0 | 4 | 0 | 31 | 7 | 10 | 14 | 0 | 25 | 9 | 8 | 20 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 23 | 16 | 23 | 7 | 12 | 6 | 62.5% | 16.1% | 88.0% | 104.1 | FUN | |
| 19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 3 | 4 | 1 | 0 | 67 | 26 | 25 | 16 | 0 | 72 | 24 | 20 | 47 | 3 | 1 | 33.33% | 10 | 3 | 70.00% | 0 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 46 | 31 | 48 | 14 | 24 | 11 | 87.5% | 11.9% | 94.4% | 106.4 | LUCKY | |
| 20 | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 19 | 12 | 27 | 8 | 12 | 5 | 40.0% | 9.1% | 88.6% | 97.7 | FUN | |
| 21 | 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 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 49 | 34 | 44 | 13 | 26 | 13 | 50.0% | 6.8% | 92.1% | 98.8 | DULL | |
| 22 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 6 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 2 | 73 | 20 | 27 | 24 | 9 | 53 | 31 | 26 | 43 | 7 | 1 | 14.29% | 10 | 1 | 90.00% | 0 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 51 | 37 | 51 | 15 | 24 | 12 | 37.5% | 5.5% | 88.7% | 94.2 | Unlucky | |
| 23 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 1 | 1 | 34 | 9 | 11 | 13 | 1 | 30 | 10 | 6 | 22 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 26 | 17 | 22 | 7 | 13 | 6 | 50.0% | 11.8% | 90.0% | 101.8 | FUN | |
| 24 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 1 | 1 | 32 | 7 | 11 | 12 | 2 | 30 | 4 | 2 | 18 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 26 | 19 | 21 | 7 | 12 | 6 | 60.0% | 9.4% | 93.3% | 102.7 | LUCKY | |
| _Vs Division | 7 | 3 | 0 | 0 | 2 | 1 | 0 | 1 | 27 | 17 | 10 | 12 | 0.857 | 27 | 46 | 73 | 0 | 1 | 7 | 9 | 9 | 4 | 256 | 82 | 84 | 85 | 12 | 214 | 74 | 56 | 155 | 26 | 3 | 11.54% | 24 | 2 | 91.67% | 0 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 174 | 123 | 166 | 53 | 89 | 45 | 61.5% | 10.5% | 92.1% | 102.6 | LUCKY | |
| _Vs Conference | 19 | 9 | 4 | 0 | 3 | 2 | 0 | 1 | 65 | 47 | 18 | 27 | 0.711 | 65 | 118 | 183 | 0 | 2 | 16 | 29 | 17 | 5 | 645 | 205 | 228 | 205 | 14 | 567 | 187 | 164 | 407 | 73 | 12 | 16.44% | 71 | 11 | 84.51% | 2 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 465 | 326 | 450 | 140 | 236 | 118 | 59.6% | 10.1% | 91.7% | 101.8 | LUCKY | |
| _Since Last GM Reset | 32 | 14 | 8 | 0 | 4 | 2 | 1 | 3 | 107 | 86 | 21 | 43 | 0.672 | 107 | 192 | 299 | 0 | 2 | 34 | 41 | 27 | 8 | 1075 | 337 | 376 | 345 | 35 | 1007 | 316 | 292 | 701 | 124 | 20 | 16.13% | 122 | 20 | 83.61% | 3 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 780 | 545 | 763 | 234 | 403 | 200 | 56.9% | 10.0% | 91.5% | 101.4 | LUCKY | |
| Total | 32 | 14 | 8 | 0 | 4 | 2 | 1 | 3 | 107 | 86 | 21 | 43 | 0.672 | 107 | 192 | 299 | 0 | 2 | 34 | 41 | 27 | 8 | 1075 | 337 | 376 | 345 | 35 | 1007 | 316 | 292 | 701 | 124 | 20 | 16.13% | 122 | 20 | 83.61% | 3 | 571 | 1137 | 50.22% | 593 | 1166 | 50.86% | 275 | 495 | 55.56% | 780 | 545 | 763 | 234 | 403 | 200 | 56.9% | 10.0% | 91.5% | 101.4 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1137 |
| Neutral Zone Start | 495 |
| Defensive Zone Start | 1166 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1439 |
| Faceoffs Lost | 1359 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.5 | 9.57 |
| 2nd Period | 22.3 | 20.31 |
| 3rd Period | 33.1 | 30.68 |
| Overtime | 34.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.3 | 1.65 |
| 3rd Period | 3.2 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 84 |
|---|---|
| PP Goal | 20 |
| PK Goal | 3 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 10 | 9 |
| Lost | 2 | 6 |
| Overtime Lost | 2 | 3 |
| PP Attempt | 124 |
|---|---|
| PP Goal | 20 |
| PK Attempt | 122 |
| PK Goal Against | 20 |
| Home | |
|---|---|
| Shots For | 33.6 |
| Shots Against | 31.5 |
| Goals For | 3.3 |
| Goals Against | 2.7 |
| Hits | 21.9 |
| Shots Blocked | 9.9 |
| Pim | 9.1 |
| 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 | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 96,300,000$ | 0$ | 95,326,485$ | -800,000$ |
| 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 | 79903 | 65312 | 26129 | 53505 | 13318 |
| Attendance PCT | 95.12% | 93.30% | 93.32% | 95.54% | 95.13% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 27 | 17012 - 94.51% | 1,562,299$ | 21,872,190$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 96,300,000$ | 96,300,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 35,007,293$ | 501,562$ | 34,637,483$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 42,182,081$ | 121 | 506,771$ | 61,319,291$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 63,131,852$ | 96,300,000$ | 62,631,571$ | 41,681,800$ |
Rookie
Injured
Cold Streak
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| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
| 2027 | ||||||||
| 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 | |||
| Ivan Ryabkin | 2025 | 32 | |||
| 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 |
Mads Sogaard is out for 1 days because of a Exhaustion.
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