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Full Scoreboard »» |
| Anaheim Ducks 7-7-0, 14pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor McDavid (C) | 97 | C/LW | 100.00 | 61 | 33 | 82 | 90 | 76 | 92 | 90 | 87 | 82 | 92 | 91 | 61 | 89 | 75 | 88 | 0 | 81 | 95 | 29 | 12,500,000$/9yrs | |||
Nikita Kucherov | 0 | RW | 100.00 | 61 | 32 | 77 | 90 | 70 | 87 | 90 | 86 | 55 | 94 | 90 | 53 | 88 | 81 | 79 | 0 | 82 | 94 | 32 | 9,500,000$/2yrs | |||
Clayton Keller | 9 | C/LW/RW | 100.00 | 54 | 32 | 86 | 81 | 68 | 86 | 90 | 77 | 59 | 86 | 77 | 54 | 77 | 72 | 76 | 0 | 80 | 86 | 27 | 7,000,000$/2yrs | |||
Wyatt Johnston | 0 | C/RW | 100.00 | 64 | 32 | 86 | 82 | 74 | 87 | 90 | 78 | 80 | 74 | 88 | 63 | 83 | 64 | 63 | 0 | 80 | 86 | 23 | 8,400,000$/4yrs | |||
Marco Rossi | 0 | C | 100.00 | 67 | 32 | 92 | 74 | 68 | 83 | 81 | 68 | 82 | 73 | 71 | 63 | 69 | 66 | 65 | 0 | 81 | 80 | 24 | 4,750,000$/2yrs | |||
Jake DeBrusk | 74 | LW/RW | 100.00 | 68 | 33 | 93 | 69 | 76 | 83 | 90 | 68 | 59 | 65 | 75 | 60 | 71 | 75 | 74 | 0 | 80 | 79 | 29 | 4,750,000$/2yrs | |||
James van Riemsdyk | 0 | LW | 100.00 | 58 | 35 | 90 | 63 | 84 | 75 | 87 | 64 | 59 | 66 | 69 | 52 | 66 | 87 | 86 | 0 | 52 | 76 | 37 | 4,000,000$/1yrs | |||
Dakota Joshua | 8 | C/LW | 100.00 | 94 | 47 | 70 | 61 | 83 | 74 | 83 | 62 | 58 | 59 | 67 | 68 | 64 | 75 | 72 | 0 | 80 | 75 | 30 | 3,250,000$/3yrs | |||
Colton Sissons | 0 | C/LW/RW | 100.00 | 73 | 36 | 87 | 57 | 79 | 77 | 86 | 58 | 83 | 60 | 60 | 77 | 59 | 80 | 78 | 0 | 80 | 74 | 32 | 2,857,143$/1yrs | |||
Cody Glass | 0 | C/RW | 100.00 | 63 | 37 | 81 | 63 | 83 | 77 | 88 | 62 | 86 | 57 | 73 | 62 | 67 | 70 | 68 | 0 | 65 | 74 | 27 | 2,500,000$/2yrs | |||
Drew O'Connor | 0 | LW/RW | 100.00 | 67 | 33 | 82 | 63 | 81 | 78 | 90 | 60 | 61 | 60 | 69 | 62 | 64 | 71 | 70 | 0 | 80 | 74 | 27 | 2,500,000$/2yrs | |||
Ethen Frank | 0 | C/RW | 100.00 | 65 | 32 | 90 | 62 | 71 | 74 | 78 | 62 | 57 | 62 | 67 | 60 | 64 | 72 | 71 | 0 | 81 | 74 | 28 | 825,000$/3yrs | |||
Mike Matheson | 19 | D | 100.00 | 65 | 33 | 85 | 64 | 77 | 93 | 90 | 65 | 30 | 70 | 61 | 83 | 63 | 79 | 78 | 0 | 81 | 81 | 32 | 4,875,000$/1yrs | |||
Darnell Nurse | 0 | D | 100.00 | 78 | 47 | 62 | 64 | 89 | 91 | 89 | 62 | 30 | 67 | 59 | 77 | 61 | 78 | 74 | 0 | 83 | 79 | 31 | 6,250,000$/3yrs | |||
Ryan Pulock | 6 | D | 100.00 | 63 | 34 | 92 | 60 | 85 | 88 | 90 | 64 | 30 | 67 | 56 | 83 | 60 | 78 | 77 | 0 | 80 | 79 | 31 | 5,000,000$/4yrs | |||
Martin Fehervary | 42 | D | 100.00 | 74 | 36 | 86 | 60 | 79 | 86 | 90 | 64 | 30 | 66 | 58 | 82 | 61 | 70 | 68 | 0 | 80 | 78 | 26 | 4,125,000$/5yrs | |||
Jeremy Lauzon | 0 | D | 100.00 | 97 | 59 | 56 | 55 | 80 | 84 | 80 | 58 | 30 | 60 | 52 | 75 | 55 | 73 | 69 | 0 | 80 | 74 | 29 | 2,000,000$/1yrs | |||
Ilya Lyubushkin | 0 | D | 100.00 | 70 | 37 | 81 | 55 | 80 | 82 | 86 | 55 | 30 | 61 | 53 | 72 | 54 | 79 | 77 | 0 | 80 | 73 | 32 | 3,400,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jesperi Kotkaniemi | 0 | C/LW | 100.00 | 69 | 37 | 83 | 61 | 80 | 77 | 84 | 58 | 80 | 65 | 62 | 54 | 60 | 68 | 66 | 0 | 40 | 72 | 25 | 2,500,000$/4yrs | |||
Nils Hoglander | 0 | LW/RW | 100.00 | 70 | 32 | 87 | 59 | 69 | 75 | 82 | 58 | 60 | 63 | 60 | 53 | 59 | 67 | 65 | 0 | 19 | 71 | 25 | 3,000,000$/3yrs | |||
| TEAM AVERAGE | 100.00 | 69 | 36 | 82 | 67 | 78 | 82 | 87 | 66 | 57 | 68 | 68 | 66 | 67 | 74 | 73 | 0 | 73 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Darcy Kuemper | 0 | 100.00 | 91 | 95 | 81 | 89 | 95 | 85 | 94 | 93 | 92 | 94 | 94 | 86 | 90 | 0 | 80 | 94 | 36 | 5,250,000$/2yrs |
Jakub Dobes | 0 | 100.00 | 71 | 88 | 78 | 84 | 83 | 73 | 84 | 92 | 85 | 93 | 84 | 67 | 71 | 0 | 82 | 86 | 25 | 965,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 81 | 92 | 80 | 87 | 89 | 79 | 89 | 93 | 89 | 94 | 89 | 77 | 81 | 0 | 81 | 90 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jared Bednar | 74 | 83 | 93 | 75 | 77 | 86 | 82 | CAN | 52 | 4 | 1,000,000$ |
| General Manager | Sou MMsaiphon |
|---|
| 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 | Connor McDavid | 97 | C/LW | 14 | 5 | 12 | 17 | -5 | 2 | 0 | 26 | 76 | 20 | 43 | 6.58% | 0 | 22.18 | 0 | 5 | 5 | 43 | 0 | 0 | 0 | 3 | 0 | 1 | 53.85% | 208 | 0 | 0 | 0 | 1 | 1.09 | 0 | 0 | |
| 2 | Wyatt Johnston | 0 | C/RW | 14 | 4 | 11 | 15 | 3 | 12 | 0 | 26 | 44 | 16 | 42 | 9.09% | 1 | 21.54 | 0 | 2 | 2 | 46 | 0 | 1 | 1 | 27 | 0 | 0 | 47.66% | 235 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | |
| 3 | Nikita Kucherov | 0 | RW | 14 | 6 | 7 | 13 | -5 | 6 | 0 | 24 | 62 | 13 | 48 | 9.68% | 0 | 21.85 | 2 | 3 | 5 | 43 | 0 | 0 | 0 | 0 | 1 | 0 | 36.36% | 22 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
| 4 | Marco Rossi | 0 | C | 14 | 5 | 5 | 10 | 3 | 6 | 0 | 15 | 43 | 4 | 34 | 11.63% | 4 | 17.40 | 2 | 1 | 3 | 37 | 0 | 0 | 0 | 0 | 1 | 0 | 40.35% | 285 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | |
| 5 | Clayton Keller | 9 | C/LW/RW | 14 | 1 | 8 | 9 | -8 | 2 | 0 | 11 | 40 | 15 | 36 | 2.50% | 2 | 20.42 | 0 | 4 | 4 | 35 | 0 | 0 | 0 | 11 | 0 | 0 | 42.42% | 33 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 6 | Ilya Lyubushkin | 0 | D | 14 | 2 | 5 | 7 | 1 | 0 | 0 | 4 | 7 | 2 | 4 | 28.57% | 23 | 15.84 | 1 | 1 | 2 | 3 | 0 | 0 | 0 | 43 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
| 7 | Jeremy Lauzon | 0 | D | 14 | 2 | 5 | 7 | 0 | 16 | 0 | 37 | 10 | 6 | 5 | 20.00% | 17 | 12.67 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
| 8 | Ryan Pulock | 6 | D | 14 | 0 | 7 | 7 | -1 | 6 | 0 | 11 | 20 | 6 | 15 | 0.00% | 20 | 24.65 | 0 | 1 | 1 | 42 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 9 | Martin Fehervary | 42 | D | 14 | 1 | 6 | 7 | -3 | 25 | 5 | 15 | 16 | 8 | 11 | 6.25% | 22 | 22.23 | 0 | 2 | 2 | 37 | 0 | 0 | 0 | 39 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 10 | Darnell Nurse | 0 | D | 14 | 3 | 3 | 6 | -2 | 22 | 10 | 27 | 26 | 7 | 10 | 11.54% | 18 | 22.52 | 3 | 0 | 3 | 39 | 0 | 0 | 0 | 39 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 11 | Jake DeBrusk | 74 | LW/RW | 14 | 1 | 4 | 5 | 4 | 2 | 0 | 22 | 22 | 16 | 21 | 4.55% | 0 | 17.39 | 0 | 1 | 1 | 37 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 12 | Mike Matheson | 19 | D | 14 | 3 | 2 | 5 | -1 | 17 | 5 | 18 | 24 | 11 | 13 | 12.50% | 18 | 22.85 | 1 | 0 | 1 | 41 | 0 | 0 | 0 | 12 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 13 | James van Riemsdyk | 0 | LW | 14 | 2 | 1 | 3 | -2 | 0 | 0 | 3 | 6 | 1 | 11 | 33.33% | 1 | 9.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 14 | Drew O'Connor | 0 | LW/RW | 14 | 2 | 1 | 3 | -3 | 2 | 0 | 16 | 22 | 6 | 17 | 9.09% | 2 | 13.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 15 | Cody Glass | 0 | C/RW | 14 | 2 | 0 | 2 | 3 | 0 | 0 | 0 | 8 | 1 | 2 | 25.00% | 1 | 5.30 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 41.18% | 85 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 16 | Dakota Joshua | 8 | C/LW | 14 | 2 | 0 | 2 | 2 | 12 | 0 | 15 | 7 | 2 | 9 | 28.57% | 1 | 6.98 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 26 | 1 | 0 | 0.00% | 4 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 17 | Ethen Frank | 0 | C/RW | 14 | 1 | 1 | 2 | 3 | 4 | 0 | 2 | 12 | 1 | 3 | 8.33% | 0 | 5.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 18 | Colton Sissons | 0 | C/LW/RW | 14 | 0 | 1 | 1 | -4 | 2 | 0 | 19 | 12 | 9 | 12 | 0.00% | 4 | 13.56 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 54 | 0 | 0 | 50.00% | 246 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
| Team Total or Average | 252 | 42 | 79 | 121 | -15 | 136 | 20 | 291 | 457 | 144 | 336 | 9.19% | 134 | 16.41 | 10 | 20 | 30 | 412 | 1 | 1 | 2 | 358 | 7 | 1 | 46.22% | 1151 | 0 | 0 | 0 | 1 | 0.59 | 0 | 0 |
| 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 | Darcy Kuemper | 14 | 7 | 4 | 2 | 0.902 | 2.84 | 824 | 0 | 0 | 39 | 400 | 0 | 0 | 0 | 0.000 | 0 | 14 | 0 | 1 | 0 | 1 | |
| 2 | Jakub Dobes | 1 | 0 | 1 | 0 | 0.889 | 3.53 | 17 | 0 | 0 | 1 | 9 | 0 | 0 | 0 | 0.000 | 0 | 0 | 14 | 0 | 0 | 0 | |
| Team Total or Average | 15 | 7 | 5 | 2 | 0.902 | 2.85 | 841 | 0 | 0 | 40 | 409 | 0 | 0 | 0 | 0.000 | 0 | 14 | 14 | 1 | 0 | 1 |
| Projected Total Cap Hit | 0$ |
| Projected Cap Space | 95,500,000$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 0$ |
| Players In Salary Cap | 22 |
| LTIR Players | 0 |
| Ducks Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Clayton Keller ![]() | C/LW/RW | 27 | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||||
Cody Glass ![]() | C/RW | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||||
Colton Sissons ![]() | C/LW/RW | 32 | 2,857,143$ | 2,857,143$ | UFA | ||||||
Connor McDavid ![]() | C/LW | 29 | 12,500,000$ | 12,500,000$ | 18,500,000$ | 18,500,000$ | 18,500,000$ | 18,500,000$ | 18,500,000$ | 18,500,000$ | 18,500,000$ |
Dakota Joshua ![]() | C/LW | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
| Darcy Kuemper | G | 36 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Darnell Nurse ![]() | D | 31 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||||
Drew O'Connor ![]() | LW/RW | 27 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Ethen Frank | C/RW | 28 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | UFA | ||||
Ilya Lyubushkin ![]() | D | 32 | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | |||||
Jake DeBrusk ![]() | LW/RW | 29 | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Jakub Dobes | G | 25 | 965,000$ | 965,000$ | 965,000$ | ||||||
James van Riemsdyk ![]() | LW | 37 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Jeremy Lauzon ![]() | D | 29 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Jesperi Kotkaniemi ![]() | C/LW | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | ||||
Marco Rossi ![]() | C | 24 | 4,750,000$ | 4,750,000$ | 4,750,000$ | RFA | |||||
Martin Fehervary ![]() | D | 26 | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | UFA | ||
Mike Matheson ![]() | D | 32 | 4,875,000$ | 4,875,000$ | UFA | ||||||
Nikita Kucherov ![]() | RW | 32 | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Nils Hoglander ![]() | LW/RW | 25 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||||
Ryan Pulock ![]() | D | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Wyatt Johnston ![]() | C/RW | 23 | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas | C/LW/RW | 25 | 950,000$ | 950,000$ | RFA | ||||||
Antonio Stranges | C/LW | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Cole Krygier | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Colin Blackwell | C/LW/RW | 33 | 850,000$ | 850,000$ | UFA | ||||||
Connor Ingram ![]() | G | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
David Spacek | D | 23 | 862,500$ | 862,500$ | RFA | ||||||
Donovan Sebrango | D | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Dylan Roobroeck | C/LW/RW | 21 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Elmer Soderblom | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Ilya Protas | C/LW | 19 | 856,667$ | 856,667$ | 856,667$ | 856,667$ | |||||
Jakub Rychlovsky | LW/RW | 24 | 870,000$ | 870,000$ | RFA | ||||||
Jaxsen Wiebe | C/RW | 24 | 852,500$ | 852,500$ | RFA | ||||||
John Parker-Jones | RW/D | 26 | 800,000$ | 800,000$ | |||||||
Josh Brown | D | 32 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Juraj Pekarcik | C/LW/RW | 20 | 838,333$ | 838,333$ | 838,333$ | 838,333$ | RFA | ||||
Justin Dowling | C/LW/RW | 35 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Leo Loof | D | 24 | 867,500$ | 867,500$ | RFA | ||||||
Matt Tomkins | G | 31 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Matt Villalta | G | 26 | 850,000$ | 850,000$ | 850,000$ | ||||||
Max Sasson | C/LW/RW | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Mitchell Gibson | G | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Nicolas Beaudin | D | 26 | 0$ | ||||||||
Nikita Chibrikov | LW/RW | 23 | 875,833$ | 875,833$ | RFA | ||||||
Nikita Prishchepov | C/LW | 22 | 806,667$ | 806,667$ | 806,667$ | RFA | |||||
Noah Juulsen | D | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Ole Bjorgvik-Holm | D | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Phillip Di Giuseppe | LW/RW | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ryan Greene | C/RW | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Spencer Martin | G | 30 | 950,000$ | 950,000$ | UFA | ||||||
Spencer Stastney | D | 26 | 850,000$ | 850,000$ | |||||||
Stephen Halliday | C/LW | 23 | 950,000$ | 950,000$ | RFA | ||||||
Ty Glover | C | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Ty Murchison | D | 23 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Zach Aston-Reese | LW/RW | 31 | 800,000$ | 800,000$ | 800,000$ | UFA |
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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 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 0 | 6 | 0.429 | 18 | 35 | 53 | 0 | 0 | 5 | 8 | 5 | 0 | 208 | 73 | 67 | 64 | 4 | 208 | 59 | 50 | 138 | 24 | 6 | 25.00% | 19 | 1 | 94.74% | 0 | 233 | 485 | 48.04% | 203 | 458 | 44.32% | 96 | 208 | 46.15% | 166 | 117 | 170 | 49 | 85 | 42 | 41.4% | 8.7% | 91.3% | 100.0 | DULL | |
| 2 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 24 | 22 | 2 | 8 | 0.571 | 24 | 44 | 68 | 0 | 0 | 11 | 7 | 5 | 1 | 249 | 74 | 87 | 83 | 5 | 201 | 75 | 86 | 153 | 29 | 4 | 13.79% | 31 | 4 | 87.10% | 1 | 233 | 485 | 48.04% | 203 | 458 | 44.32% | 96 | 208 | 46.15% | 166 | 116 | 171 | 49 | 85 | 42 | 52.6% | 9.6% | 89.1% | 98.7 | FUN | |
| _Vs Division | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 42 | 40 | 2 | 14 | 0.500 | 42 | 79 | 121 | 0 | 0 | 16 | 15 | 10 | 1 | 457 | 147 | 154 | 147 | 9 | 409 | 134 | 136 | 291 | 53 | 10 | 18.87% | 50 | 5 | 90.00% | 1 | 233 | 485 | 48.04% | 203 | 458 | 44.32% | 96 | 208 | 46.15% | 333 | 234 | 342 | 99 | 171 | 85 | 47.8% | 9.2% | 90.2% | 99.4 | FUN | |
| _Vs Conference | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 42 | 40 | 2 | 14 | 0.500 | 42 | 79 | 121 | 0 | 0 | 16 | 15 | 10 | 1 | 457 | 147 | 154 | 147 | 9 | 409 | 134 | 136 | 291 | 53 | 10 | 18.87% | 50 | 5 | 90.00% | 1 | 233 | 485 | 48.04% | 203 | 458 | 44.32% | 96 | 208 | 46.15% | 333 | 234 | 342 | 99 | 171 | 85 | 47.8% | 9.2% | 90.2% | 99.4 | FUN | |
| _Since Last GM Reset | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 42 | 40 | 2 | 14 | 0.500 | 42 | 79 | 121 | 0 | 0 | 16 | 15 | 10 | 1 | 457 | 147 | 154 | 147 | 9 | 409 | 134 | 136 | 291 | 53 | 10 | 18.87% | 50 | 5 | 90.00% | 1 | 233 | 485 | 48.04% | 203 | 458 | 44.32% | 96 | 208 | 46.15% | 333 | 234 | 342 | 99 | 171 | 85 | 47.8% | 9.2% | 90.2% | 99.4 | FUN | |
| Total | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 42 | 40 | 2 | 14 | 0.500 | 42 | 79 | 121 | 0 | 0 | 16 | 15 | 10 | 1 | 457 | 147 | 154 | 147 | 9 | 409 | 134 | 136 | 291 | 53 | 10 | 18.87% | 50 | 5 | 90.00% | 1 | 233 | 485 | 48.04% | 203 | 458 | 44.32% | 96 | 208 | 46.15% | 333 | 234 | 342 | 99 | 171 | 85 | 47.8% | 9.2% | 90.2% | 99.4 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 485 |
| Neutral Zone Start | 208 |
| Defensive Zone Start | 458 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 532 |
| Faceoffs Lost | 619 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.5 | 9.57 |
| 2nd Period | 21.5 | 20.31 |
| 3rd Period | 32.0 | 30.68 |
| Overtime | 32.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 2.9 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 31 |
|---|---|
| PP Goal | 10 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 4 | 3 |
| Lost | 4 | 3 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 53 |
|---|---|
| PP Goal | 10 |
| PK Attempt | 50 |
| PK Goal Against | 5 |
| Home | |
|---|---|
| Shots For | 32.6 |
| Shots Against | 29.2 |
| Goals For | 3.0 |
| Goals Against | 2.9 |
| Hits | 20.8 |
| Shots Blocked | 9.6 |
| Pim | 9.7 |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| 2026-04-21 | @ | Golden Knights4,Ducks3 (OT) | RECAP | ||
| 2026-04-23 | @ | Golden Knights2,Ducks4 | RECAP | ||
| 2026-04-25 | @ | Ducks5,Golden Knights4 | RECAP | ||
| 2026-04-27 | @ | Ducks3,Golden Knights4 | RECAP | ||
| 2026-04-29 | @ | Golden Knights1,Ducks2 | RECAP | ||
| 2026-05-01 | @ | Ducks2,Golden Knights3 | RECAP | ||
| 2026-05-03 | @ | Golden Knights4,Ducks5 (OT) | RECAP | ||
| 2026-05-05 | @ | Sharks5,Ducks4 | RECAP | ||
| 2026-05-07 | @ | Sharks2,Ducks1 | RECAP | ||
| 2026-05-09 | @ | Ducks3,Sharks1 | RECAP | ||
| 2026-05-11 | @ | Ducks1,Sharks3 | RECAP | ||
| 2026-05-13 | @ | Sharks2,Ducks3 | RECAP | ||
| 2026-05-15 | @ | Ducks4,Sharks2 | RECAP | ||
| 2026-05-17 | @ | Sharks3,Ducks2 (OT) | RECAP | ||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 100,197,143$ | 0$ | 0$ | -4,697,143$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Honda Center | |
| City | Anaheim | ||
| 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 | 48000 | 40000 | 16000 | 32000 | 8000 |
| Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 33 | 18000 - 100.00% | 1,651,000$ | 13,208,000$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 100,197,143$ | 100,197,143$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 5 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 100,197,143$ | 38,501,813$ | 38,501,813$ |
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| Priority | Type | Description |
|---|---|---|
| 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 |
|---|---|---|---|---|---|
| Adam Jecho | 2024 | 64 | |||
| Albert Wikman | 2023 | 120 | |||
| Alexander Zetterberg | 2024 | 202 | |||
| Arseni Sergeev | 2021 | 149 | |||
| Francesco Arcuri | 2021 | 213 | |||
| Grant Slukynsky | 2020 | 190 | |||
| Jack Ivankovic | 2025 | 50 | |||
| Jacob Truscott | 2020 | 183 | |||
| Jaden Lipinski | 2023 | 115 | |||
| Kalem Parker | 2023 | 179 | |||
| Kim Saarinen | 2024 | 96 | |||
| Kristian Kostadinski | 2023 | 211 | |||
| Lev Katzin | 2025 | 206 | |||
| Logan Sawyer | 2024 | 99 | |||
| Makar Khanin | 2024 | 224 | |||
| Maxim Barbashev | 2022 | 165 | |||
| Maxim Schafer | 2025 | 114 | |||
| Maximilian Glotzl | 2020 | 215 | |||
| Mikkel Eriksen | 2025 | 94 | |||
| Oskar Jellvik | 2021 | 171 | |||
| Paul Fischer | 2023 | 147 | |||
| Quentin Miller | 2023 | 91 | |||
| Quinn Beauchesne | 2025 | 146 | |||
| Rody Ross | 2019 | 183 | |||
| Ryan Miller | 2025 | 130 | |||
| Teddy Stiga | 2024 | 32 | |||
| Ty Henricks | 2023 | 185 |
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