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Full Scoreboard »» |
| Anaheim Ducks 12-3-2, 26pts · 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 | 100.00 | 69 | 34 | 86 | 90 | 76 | 92 | 87 | 87 | 82 | 99 | 81 | 61 | 84 | 73 | 87 | 0 | 58 | 94 | 28 | 12,500,000$/9yrs | |||
Wyatt Johnston | 0 | C/RW | 100.00 | 58 | 32 | 86 | 83 | 74 | 91 | 90 | 81 | 84 | 78 | 89 | 74 | 85 | 63 | 62 | 0 | 55 | 88 | 22 | 8,400,000$/4yrs | |||
Bryan Rust | 0 | RW | 100.00 | 66 | 32 | 90 | 78 | 74 | 89 | 86 | 76 | 60 | 75 | 83 | 73 | 79 | 81 | 80 | 0 | 55 | 87 | 33 | 5,125,000$/3yrs | |||
Clayton Keller | 9 | C/LW/RW | 98.00 | 56 | 32 | 87 | 81 | 68 | 88 | 90 | 79 | 60 | 82 | 80 | 56 | 79 | 70 | 75 | 0 | 55 | 86 | 27 | 7,000,000$/2yrs | |||
Marco Rossi | 0 | C | 100.00 | 64 | 32 | 95 | 77 | 68 | 85 | 90 | 69 | 84 | 76 | 70 | 66 | 69 | 65 | 65 | 0 | 57 | 81 | 24 | 4,750,000$/2yrs | |||
Teuvo Teravainen | 86 | C/LW/RW | 100.00 | 57 | 32 | 94 | 73 | 73 | 84 | 90 | 69 | 61 | 75 | 71 | 68 | 70 | 77 | 76 | 0 | 55 | 81 | 31 | 6,000,000$/4yrs | |||
Jake DeBrusk | 74 | LW/RW | 100.00 | 71 | 33 | 92 | 69 | 76 | 84 | 90 | 68 | 59 | 66 | 74 | 66 | 71 | 73 | 72 | 0 | 55 | 79 | 29 | 4,750,000$/2yrs | |||
Colton Sissons | 0 | C/LW/RW | 100.00 | 74 | 33 | 86 | 62 | 79 | 82 | 89 | 62 | 84 | 65 | 64 | 80 | 63 | 78 | 77 | 0 | 55 | 77 | 32 | 2,857,143$/1yrs | |||
Dakota Joshua | 8 | C/LW | 100.00 | 91 | 33 | 95 | 58 | 83 | 75 | 90 | 59 | 57 | 60 | 61 | 77 | 60 | 75 | 74 | 0 | 55 | 75 | 29 | 3,250,000$/3yrs | |||
Drew O'Connor | 0 | LW/RW | 100.00 | 66 | 33 | 88 | 63 | 81 | 81 | 90 | 62 | 60 | 63 | 65 | 74 | 63 | 70 | 69 | 0 | 55 | 75 | 27 | 2,500,000$/2yrs | |||
Elmer Soderblom (R) | 0 | C/LW/RW | 100.00 | 76 | 35 | 91 | 65 | 99 | 78 | 69 | 60 | 58 | 67 | 65 | 56 | 63 | 64 | 63 | 0 | 58 | 75 | 24 | 1,000,000$/2yrs | |||
Jesperi Kotkaniemi | 0 | C/LW | 100.00 | 65 | 36 | 81 | 63 | 80 | 78 | 89 | 61 | 81 | 65 | 65 | 56 | 63 | 66 | 64 | 0 | 44 | 73 | 25 | 2,500,000$/4yrs | |||
Mike Matheson | 19 | D | 100.00 | 65 | 34 | 77 | 70 | 77 | 98 | 90 | 70 | 30 | 76 | 62 | 85 | 66 | 78 | 76 | 0 | 56 | 85 | 31 | 4,875,000$/1yrs | |||
Darnell Nurse | 0 | D | 100.00 | 80 | 42 | 67 | 67 | 89 | 93 | 89 | 66 | 30 | 69 | 61 | 81 | 63 | 76 | 73 | 0 | 56 | 82 | 30 | 6,250,000$/3yrs | |||
Ryan Pulock | 6 | D | 100.00 | 74 | 34 | 92 | 60 | 85 | 92 | 85 | 63 | 30 | 66 | 59 | 81 | 61 | 77 | 76 | 0 | 55 | 79 | 31 | 5,000,000$/4yrs | |||
Martin Fehervary | 42 | D | 100.00 | 76 | 36 | 89 | 60 | 79 | 86 | 90 | 63 | 30 | 66 | 58 | 81 | 61 | 68 | 67 | 0 | 55 | 78 | 26 | 4,125,000$/5yrs | |||
Ilya Lyubushkin | 0 | D | 100.00 | 76 | 35 | 80 | 55 | 80 | 85 | 89 | 58 | 30 | 60 | 51 | 80 | 55 | 77 | 75 | 0 | 55 | 75 | 31 | 3,400,000$/2yrs | |||
Jeremy Lauzon | 0 | D | 100.00 | 99 | 59 | 57 | 55 | 80 | 87 | 82 | 59 | 30 | 57 | 57 | 79 | 58 | 72 | 68 | 0 | 58 | 75 | 28 | 2,000,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.89 | 71 | 35 | 85 | 68 | 79 | 86 | 88 | 67 | 56 | 70 | 68 | 72 | 67 | 72 | 72 | 0 | 55 | 80 | |||||||
| 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 | 90 | 95 | 81 | 89 | 96 | 87 | 94 | 93 | 93 | 94 | 94 | 85 | 89 | 0 | 59 | 94 | 35 | 5,250,000$/2yrs |
Arvid Soderblom | 0 | 100.00 | 83 | 84 | 76 | 75 | 78 | 70 | 81 | 86 | 79 | 85 | 81 | 68 | 72 | 0 | 35 | 83 | 26 | 2,750,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 87 | 90 | 79 | 82 | 87 | 79 | 88 | 90 | 86 | 90 | 88 | 77 | 81 | 0 | 47 | 89 | |||
| 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 | Wyatt Johnston | 0 | C/RW | 17 | 8 | 6 | 14 | 8 | 8 | 0 | 17 | 67 | 16 | 57 | 11.94% | 2 | 19.92 | 4 | 1 | 5 | 45 | 0 | 0 | 0 | 0 | 1 | 0 | 43.40% | 53 | 0 | 0 | 0 | 0 | 0.83 | 0 | 1 | |
| 2 | Darnell Nurse | 0 | D | 17 | 5 | 8 | 13 | 5 | 19 | 5 | 54 | 28 | 8 | 10 | 17.86% | 22 | 24.28 | 2 | 1 | 3 | 56 | 0 | 1 | 1 | 58 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 1 | 1 | |
| 3 | Mike Matheson | 19 | D | 17 | 2 | 11 | 13 | 6 | 11 | 5 | 26 | 22 | 11 | 22 | 9.09% | 28 | 22.84 | 0 | 6 | 6 | 54 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 1 | |
| 4 | Connor McDavid | 97 | C | 17 | 3 | 9 | 12 | 9 | 13 | 5 | 42 | 77 | 12 | 49 | 3.90% | 1 | 21.18 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | 0 | 1 | 0 | 49.89% | 445 | 0 | 0 | 0 | 0 | 0.67 | 0 | 2 | |
| 5 | Teuvo Teravainen | 86 | C/LW/RW | 17 | 3 | 8 | 11 | -5 | 4 | 0 | 10 | 42 | 7 | 30 | 7.14% | 2 | 17.65 | 2 | 5 | 7 | 45 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 24 | 0 | 0 | 0 | 0 | 0.73 | 1 | 1 | |
| 6 | Colton Sissons | 0 | C/LW/RW | 17 | 3 | 7 | 10 | 6 | 6 | 0 | 7 | 27 | 2 | 25 | 11.11% | 2 | 14.21 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 71 | 1 | 0 | 56.65% | 346 | 0 | 0 | 1 | 0 | 0.83 | 0 | 0 | |
| 7 | Bryan Rust | 0 | RW | 17 | 6 | 3 | 9 | -6 | 12 | 0 | 23 | 63 | 25 | 57 | 9.52% | 7 | 20.93 | 1 | 1 | 2 | 52 | 0 | 0 | 0 | 36 | 2 | 0 | 45.45% | 22 | 0 | 0 | 0 | 0 | 0.51 | 1 | 2 | |
| 8 | Clayton Keller | 9 | C/LW/RW | 17 | 4 | 5 | 9 | 9 | 4 | 0 | 17 | 45 | 16 | 32 | 8.89% | 1 | 22.15 | 0 | 1 | 1 | 54 | 0 | 0 | 0 | 18 | 1 | 0 | 40.38% | 52 | 0 | 0 | 0 | 0 | 0.48 | 1 | 2 | |
| 9 | Marco Rossi | 0 | C | 17 | 4 | 5 | 9 | -6 | 18 | 10 | 23 | 34 | 8 | 24 | 11.76% | 1 | 17.04 | 2 | 2 | 4 | 44 | 0 | 0 | 0 | 0 | 1 | 3 | 50.82% | 368 | 0 | 0 | 0 | 0 | 0.62 | 0 | 1 | |
| 10 | Jake DeBrusk | 74 | LW/RW | 17 | 5 | 2 | 7 | 4 | 0 | 0 | 5 | 37 | 10 | 14 | 13.51% | 1 | 10.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.79 | 0 | 1 | |
| 11 | Martin Fehervary | 42 | D | 17 | 1 | 5 | 6 | 5 | 6 | 0 | 19 | 15 | 5 | 16 | 6.67% | 22 | 21.65 | 0 | 2 | 2 | 41 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 12 | Ryan Pulock | 6 | D | 17 | 0 | 5 | 5 | 4 | 12 | 0 | 34 | 16 | 4 | 9 | 0.00% | 19 | 23.01 | 0 | 1 | 1 | 42 | 0 | 0 | 0 | 59 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 13 | Dakota Joshua | 8 | C/LW | 17 | 1 | 4 | 5 | 3 | 10 | 0 | 37 | 23 | 8 | 7 | 4.35% | 0 | 12.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 45.28% | 53 | 0 | 0 | 0 | 0 | 0.48 | 1 | 1 | |
| 14 | Jesperi Kotkaniemi | 0 | C/LW | 18 | 0 | 4 | 4 | 2 | 0 | 0 | 14 | 15 | 4 | 12 | 0.00% | 1 | 8.54 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 22 | 0 | 0 | 51.89% | 185 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 15 | Drew O'Connor | 0 | LW/RW | 17 | 1 | 3 | 4 | 3 | 4 | 0 | 7 | 8 | 2 | 11 | 12.50% | 2 | 8.03 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 63 | 0 | 0 | 12.50% | 8 | 0 | 0 | 0 | 0 | 0.59 | 0 | 1 | |
| 16 | Ilya Lyubushkin | 0 | D | 17 | 0 | 1 | 1 | 0 | 2 | 0 | 8 | 6 | 4 | 11 | 0.00% | 22 | 16.45 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 56 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.07 | 0 | 0 | |
| 17 | Jeremy Lauzon | 0 | D | 17 | 0 | 1 | 1 | -2 | 35 | 5 | 44 | 8 | 2 | 5 | 0.00% | 15 | 12.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
| 18 | Elmer Soderblom | 0 | C/LW/RW | 15 | 0 | 0 | 0 | 0 | 4 | 0 | 10 | 6 | 1 | 1 | 0.00% | 0 | 4.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 305 | 46 | 87 | 133 | 45 | 168 | 30 | 397 | 539 | 145 | 392 | 8.53% | 148 | 16.60 | 11 | 21 | 32 | 510 | 1 | 2 | 3 | 493 | 11 | 4 | 50.61% | 1569 | 0 | 0 | 1 | 0 | 0.53 | 5 | 14 |
| 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 | 16 | 12 | 3 | 1 | 0.940 | 1.67 | 969 | 0 | 1 | 27 | 452 | 0 | 1 | 0 | 0.643 | 14 | 16 | 1 | 3 | 3 | 0 | |
| 2 | Arvid Soderblom | 1 | 0 | 0 | 1 | 0.897 | 3.87 | 62 | 0 | 0 | 4 | 39 | 0 | 0 | 0 | 0.000 | 0 | 1 | 2 | 0 | 0 | 0 | |
| Team Total or Average | 17 | 12 | 3 | 2 | 0.937 | 1.80 | 1032 | 0 | 1 | 31 | 491 | 0 | 1 | 0 | 0.643 | 14 | 17 | 3 | 3 | 3 | 0 |
| Projected Total Cap Hit | 94,571,874$ |
| Projected Cap Space | 928,126$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 18,949,712$ |
| Players In Salary Cap | 20 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Arvid Soderblom ![]() | G | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Bryan Rust ![]() | RW | 33 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | ||||
Clayton Keller ![]() | C/LW/RW | 27 | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||||
Colton Sissons ![]() | C/LW/RW | 32 | 2,857,143$ | 2,857,143$ | UFA | ||||||
Connor McDavid ![]() | C | 28 | 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 | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | ||||
| Darcy Kuemper | G | 35 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Darnell Nurse ![]() | D | 30 | 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 | |||||
Elmer Soderblom | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Ilya Lyubushkin ![]() | D | 31 | 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 | |||||
Jeremy Lauzon ![]() | D | 28 | 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 | 31 | 4,875,000$ | 4,875,000$ | UFA | ||||||
Ryan Pulock ![]() | D | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Teuvo Teravainen ![]() | C/LW/RW | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Wyatt Johnston ![]() | C/RW | 22 | 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 | 24 | 950,000$ | 950,000$ | RFA | ||||||
Antonio Stranges | C/LW | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Cole Krygier | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Colin Blackwell | C/RW | 32 | 850,000$ | 850,000$ | UFA | ||||||
Connor Ingram ![]() | G | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
David Spacek | D | 22 | 862,500$ | 862,500$ | RFA | ||||||
Donovan Sebrango | D | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Dylan Roobroeck | C/LW/RW | 21 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Ethen Frank | C | 27 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | UFA | ||||
Jakub Dobes | G | 24 | 965,000$ | 965,000$ | 965,000$ | ||||||
Jakub Rychlovsky | LW | 24 | 870,000$ | 870,000$ | RFA | ||||||
Jaxsen Wiebe | C | 23 | 852,500$ | 852,500$ | RFA | ||||||
John Parker-Jones | RW/D | 25 | 800,000$ | 800,000$ | |||||||
Josh Brown | D | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Justin Dowling | C/LW/RW | 35 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Leo Loof | D | 23 | 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 | 25 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Mitchell Gibson | G | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Nate Danielson | C | 21 | 886,666$ | 886,666$ | 886,666$ | 886,666$ | RFA | ||||
Nicolas Beaudin | D | 26 | 0$ | ||||||||
Nikita Chibrikov | LW/RW | 22 | 875,833$ | 875,833$ | RFA | ||||||
Nikita Prishchepov | C/LW | 21 | 806,667$ | 806,667$ | 806,667$ | RFA | |||||
Noah Juulsen | D | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Ole Bjorgvik-Holm | D | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Phillip Di Giuseppe | RW | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Spencer Martin | G | 30 | 950,000$ | 950,000$ | UFA | ||||||
Spencer Stastney | D | 25 | 850,000$ | 850,000$ | |||||||
Stephen Halliday | C | 23 | 950,000$ | 950,000$ | RFA | ||||||
Thomas Bordeleau | C/LW | 23 | 950,000$ | 950,000$ | RFA | ||||||
Ty Glover | C | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Uvis Balinskis | D | 29 | 850,000$ | 850,000$ | UFA | ||||||
Vitali Kravtsov ![]() | LW/RW | 25 | 1,255,000$ | 1,255,000$ | |||||||
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 |
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| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 27 | 13 | 5 | 9 | 0 | 24 | 10 | 14 | 22 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 25 | 17 | 21 | 7 | 12 | 7 | 71.4% | 18.5% | 91.7% | 110.2 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 44 | 10 | 18 | 16 | 0 | 33 | 9 | 11 | 31 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 22 | 15 | 25 | 7 | 12 | 6 | 50.0% | 4.5% | 97.0% | 101.5 | DULL | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 5 | 8 | 0 | 1 | 1 | 0 | 2 | 0 | 25 | 11 | 7 | 7 | 0 | 25 | 3 | 8 | 20 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 24 | 15 | 22 | 7 | 13 | 7 | 100.0% | 12.0% | 100.0% | 112.0 | LUCKY | |
| 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 55 | 23 | 16 | 16 | 0 | 32 | 12 | 8 | 37 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 49 | 34 | 44 | 14 | 26 | 12 | 50.0% | 7.3% | 87.5% | 94.8 | Unlucky | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 7 | 11 | 13 | 0 | 30 | 10 | 20 | 26 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 22 | 15 | 25 | 6 | 11 | 6 | 0.0% | 3.2% | 86.7% | 89.9 | Unlucky | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 33 | 6 | 13 | 14 | 0 | 26 | 10 | 12 | 21 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 23 | 15 | 24 | 7 | 12 | 6 | 75.0% | 9.1% | 96.2% | 105.2 | LUCKY | |
| 7 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 1 | 31 | 7 | 11 | 11 | 5 | 38 | 8 | 4 | 28 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 21 | 15 | 30 | 7 | 13 | 6 | 66.7% | 6.5% | 97.4% | 103.8 | DULL | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 33 | 11 | 13 | 9 | 0 | 22 | 8 | 6 | 17 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 25 | 18 | 21 | 7 | 12 | 6 | 100.0% | 6.1% | 95.5% | 101.5 | DULL | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 4 | 3 | 1 | 0 | 51 | 12 | 22 | 17 | 0 | 65 | 15 | 29 | 45 | 6 | 1 | 16.67% | 12 | 1 | 91.67% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 48 | 34 | 46 | 14 | 24 | 12 | 87.5% | 15.7% | 96.9% | 112.6 | LUCKY | |
| 10 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 39 | 9 | 16 | 12 | 2 | 39 | 7 | 10 | 22 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 1 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 28 | 20 | 22 | 7 | 13 | 6 | 33.3% | 7.7% | 89.7% | 97.4 | Unlucky | |
| 11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 3 | 0 | 1 | 4 | 31 | 14 | 5 | 8 | 15 | 31 | 11 | 16 | 26 | 5 | 3 | 60.00% | 8 | 1 | 87.50% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 23 | 16 | 27 | 8 | 13 | 6 | 20.0% | 12.9% | 83.9% | 96.8 | FUN | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 26 | 8 | 8 | 10 | 0 | 32 | 15 | 2 | 22 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 21 | 15 | 26 | 7 | 12 | 5 | 50.0% | 11.5% | 93.8% | 105.3 | LUCKY | |
| 13 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 33 | 8 | 14 | 10 | 1 | 26 | 11 | 9 | 28 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 25 | 18 | 21 | 6 | 13 | 6 | 60.0% | 9.1% | 92.3% | 101.4 | LUCKY | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 36 | 10 | 11 | 15 | 0 | 26 | 8 | 14 | 22 | 4 | 1 | 25.00% | 6 | 1 | 83.33% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 24 | 17 | 22 | 7 | 12 | 6 | 100.0% | 8.3% | 96.2% | 104.5 | DULL | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 37 | 15 | 13 | 9 | 0 | 42 | 12 | 7 | 29 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 22 | 16 | 23 | 7 | 13 | 6 | 33.3% | 2.7% | 95.2% | 97.9 | DULL | |
| _Vs Division | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 1 | 3 | 2 | 1 | 106 | 33 | 38 | 34 | 1 | 94 | 31 | 30 | 79 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 0 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 73 | 51 | 67 | 21 | 39 | 19 | 60.0% | 6.6% | 94.7% | 101.3 | DULL | |
| _Vs Conference | 8 | 3 | 2 | 0 | 1 | 1 | 0 | 1 | 20 | 19 | 1 | 10 | 0.625 | 20 | 35 | 55 | 0 | 1 | 7 | 5 | 7 | 5 | 265 | 85 | 90 | 83 | 18 | 241 | 70 | 90 | 190 | 32 | 8 | 25.00% | 33 | 4 | 87.88% | 1 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 198 | 138 | 186 | 60 | 104 | 52 | 44.4% | 7.5% | 92.1% | 99.7 | DULL | |
| _Since Last GM Reset | 17 | 10 | 3 | 0 | 1 | 1 | 1 | 1 | 47 | 32 | 15 | 26 | 0.765 | 47 | 84 | 131 | 0 | 1 | 18 | 14 | 13 | 6 | 532 | 164 | 183 | 176 | 23 | 491 | 149 | 170 | 396 | 59 | 11 | 18.64% | 65 | 5 | 92.31% | 1 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 410 | 285 | 405 | 127 | 218 | 110 | 57.1% | 8.8% | 93.5% | 102.3 | DULL | |
| Total | 17 | 10 | 3 | 0 | 1 | 1 | 1 | 1 | 47 | 32 | 15 | 26 | 0.765 | 47 | 84 | 131 | 0 | 1 | 18 | 14 | 13 | 6 | 532 | 164 | 183 | 176 | 23 | 491 | 149 | 170 | 396 | 59 | 11 | 18.64% | 65 | 5 | 92.31% | 1 | 309 | 602 | 51.33% | 305 | 622 | 49.04% | 136 | 251 | 54.18% | 410 | 285 | 405 | 127 | 218 | 110 | 57.1% | 8.8% | 93.5% | 102.3 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 602 |
| Neutral Zone Start | 251 |
| Defensive Zone Start | 622 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 750 |
| Faceoffs Lost | 725 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.6 | 9.57 |
| 2nd Period | 20.4 | 20.31 |
| 3rd Period | 30.8 | 30.68 |
| Overtime | 32.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.6 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 35 |
|---|---|
| PP Goal | 11 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 5 | 7 |
| Lost | 0 | 3 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 59 |
|---|---|
| PP Goal | 11 |
| PK Attempt | 65 |
| PK Goal Against | 5 |
| Home | |
|---|---|
| Shots For | 31.3 |
| Shots Against | 28.9 |
| Goals For | 2.8 |
| Goals Against | 1.9 |
| Hits | 23.3 |
| Shots Blocked | 8.8 |
| Pim | 10.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Ducks1,Kraken2 | RECAP | |||||||||||
| 2025-10-12 | @ | Ducks3,Sharks2 (OT) | RECAP | |||||||||||
| 2025-10-15 | @ | Penguins2,Ducks3 | RECAP | |||||||||||
| 2025-10-17 | @ | Hurricanes1,Ducks2 | RECAP | |||||||||||
| 2025-10-20 | @ | Ducks2,Blackhawks1 | RECAP | |||||||||||
| 2025-10-22 | @ | Ducks1,Predators4 | RECAP | |||||||||||
| 2025-10-24 | @ | Ducks2,Bruins1 (SO) | RECAP | |||||||||||
| 2025-10-26 | @ | Ducks3,Lightning1 | RECAP | |||||||||||
| 2025-10-29 | @ | Ducks5,Panthers1 | RECAP | |||||||||||
| 2025-11-01 | @ | Red Wings1,Ducks3 | RECAP | |||||||||||
| 2025-11-03 | @ | Devils2,Ducks5 | RECAP | |||||||||||
| 2025-11-05 | @ | Panthers1,Ducks3 | RECAP | |||||||||||
| 2025-11-07 | @ | Ducks4,Stars5 (SO) | RECAP | |||||||||||
| 2025-11-09 | @ | Ducks3,Golden Knights1 | RECAP | |||||||||||
| 2025-11-10 | @ | Jets4,Ducks3 (OT) | RECAP | |||||||||||
| 2025-11-12 | @ | Ducks3,Avalanche0 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,282,143$ | 0$ | 94,571,874$ | 1,217,857$ |
| 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 | 33972 | 28893 | 11392 | 22332 | 5466 |
| Attendance PCT | 94.37% | 96.31% | 94.93% | 93.05% | 91.10% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 35 | 17009 - 94.50% | 1,555,883$ | 9,335,300$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,282,143$ | 94,282,143$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 19,147,637$ | 491,053$ | 18,949,712$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 54,455,917$ | 154 | 496,261$ | 76,424,194$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 79,125,460$ | 94,282,143$ | 49,954,604$ | 25,285,061$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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| 2026 | ||||||||
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
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| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
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| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 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 | |||
| Andre Gasseau | 2021 | 181 | |||
| Arseni Sergeev | 2021 | 149 | |||
| Francesco Arcuri | 2021 | 213 | |||
| Grant Slukynsky | 2020 | 190 | |||
| Ilya Protas | 2024 | 105 | |||
| Jack Ivankovic | 2025 | 50 | |||
| Jacob Truscott | 2020 | 183 | |||
| Jaden Lipinski | 2023 | 115 | |||
| Jakub Fibigr | 2024 | 209 | |||
| Juraj Pekarcik | 2023 | 83 | |||
| Kalem Parker | 2023 | 179 | |||
| Kim Saarinen | 2024 | 96 | |||
| Kristian Kostadinski | 2023 | 211 | |||
| Lev Katzin | 2025 | 206 | |||
| Logan Sawyer | 2024 | 99 | |||
| Lynden Lakovic | 2025 | 18 | |||
| 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 | |||
| Ty Murchison | 2021 | 163 |
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