|
|
|
|
|
|
|
|
|
|
Full Scoreboard »» |
| Anaheim Ducks 50-23-7, 107pts · 3rd 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 | 59 | 33 | 86 | 93 | 76 | 91 | 90 | 91 | 81 | 99 | 91 | 59 | 91 | 75 | 88 | 0 | 82 | 97 | 29 | 12,500,000$/9yrs | |||
Nikita Kucherov | 0 | RW | 100.00 | 61 | 32 | 76 | 94 | 70 | 87 | 89 | 89 | 55 | 99 | 92 | 53 | 91 | 81 | 79 | 0 | 83 | 96 | 32 | 9,500,000$/2yrs | |||
Wyatt Johnston | 0 | C/RW | 100.00 | 57 | 32 | 91 | 85 | 74 | 87 | 90 | 82 | 80 | 82 | 86 | 65 | 84 | 63 | 62 | 0 | 82 | 88 | 22 | 8,400,000$/4yrs | |||
Clayton Keller | 9 | C/LW/RW | 100.00 | 55 | 32 | 89 | 80 | 68 | 86 | 90 | 76 | 59 | 83 | 77 | 54 | 77 | 71 | 76 | 0 | 82 | 85 | 27 | 7,000,000$/2yrs | |||
Marco Rossi | 0 | C | 100.00 | 65 | 32 | 90 | 75 | 68 | 85 | 87 | 71 | 82 | 74 | 73 | 60 | 72 | 66 | 65 | 0 | 82 | 81 | 24 | 4,750,000$/2yrs | |||
Jake DeBrusk | 74 | LW/RW | 100.00 | 69 | 33 | 93 | 69 | 76 | 83 | 90 | 67 | 59 | 65 | 75 | 60 | 71 | 74 | 73 | 0 | 82 | 79 | 29 | 4,750,000$/2yrs | |||
James van Riemsdyk | 0 | LW | 100.00 | 56 | 33 | 90 | 64 | 84 | 75 | 88 | 65 | 60 | 63 | 74 | 56 | 70 | 87 | 86 | 0 | 35 | 77 | 36 | 4,000,000$/1yrs | |||
Ethen Frank | 0 | C/RW | 100.00 | 67 | 32 | 89 | 66 | 71 | 75 | 86 | 66 | 57 | 65 | 73 | 59 | 70 | 72 | 71 | 0 | 81 | 77 | 28 | 825,000$/3yrs | |||
Cody Glass | 0 | C/RW | 100.00 | 63 | 38 | 85 | 64 | 83 | 77 | 87 | 63 | 86 | 59 | 72 | 61 | 68 | 70 | 68 | 0 | 48 | 75 | 27 | 2,500,000$/2yrs | |||
Dakota Joshua | 8 | C/LW | 100.00 | 94 | 40 | 76 | 59 | 83 | 75 | 90 | 61 | 57 | 59 | 66 | 71 | 63 | 75 | 72 | 0 | 82 | 75 | 29 | 3,250,000$/3yrs | |||
Colton Sissons | 0 | C/LW/RW | 100.00 | 73 | 35 | 87 | 59 | 79 | 77 | 87 | 58 | 83 | 61 | 60 | 78 | 59 | 79 | 78 | 0 | 82 | 74 | 32 | 2,857,143$/1yrs | |||
Drew O'Connor | 0 | LW/RW | 100.00 | 67 | 33 | 85 | 61 | 81 | 78 | 90 | 59 | 73 | 62 | 65 | 70 | 62 | 71 | 70 | 0 | 82 | 74 | 27 | 2,500,000$/2yrs | |||
Mike Matheson | 19 | D | 100.00 | 63 | 33 | 83 | 66 | 77 | 95 | 90 | 68 | 30 | 72 | 63 | 84 | 65 | 79 | 77 | 0 | 82 | 83 | 32 | 4,875,000$/1yrs | |||
Ryan Pulock | 6 | D | 100.00 | 65 | 34 | 97 | 66 | 85 | 89 | 90 | 67 | 30 | 73 | 54 | 83 | 61 | 78 | 78 | 0 | 82 | 82 | 31 | 5,000,000$/4yrs | |||
Darnell Nurse | 0 | D | 100.00 | 78 | 45 | 62 | 66 | 89 | 91 | 90 | 64 | 30 | 69 | 61 | 77 | 62 | 77 | 73 | 0 | 82 | 80 | 31 | 6,250,000$/3yrs | |||
Martin Fehervary | 42 | D | 100.00 | 74 | 37 | 87 | 59 | 79 | 86 | 90 | 63 | 30 | 66 | 59 | 80 | 61 | 69 | 68 | 0 | 82 | 78 | 26 | 4,125,000$/5yrs | |||
Ilya Lyubushkin | 0 | D | 100.00 | 75 | 42 | 71 | 55 | 80 | 82 | 84 | 58 | 30 | 65 | 55 | 74 | 57 | 78 | 75 | 0 | 82 | 75 | 32 | 3,400,000$/2yrs | |||
Jeremy Lauzon | 0 | D | 100.00 | 95 | 59 | 55 | 55 | 80 | 81 | 83 | 60 | 30 | 64 | 50 | 76 | 55 | 73 | 68 | 0 | 80 | 75 | 28 | 2,000,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jesperi Kotkaniemi | 0 | C/LW | 100.00 | 68 | 38 | 80 | 62 | 80 | 77 | 86 | 60 | 81 | 66 | 64 | 54 | 62 | 67 | 65 | 0 | 46 | 73 | 25 | 2,500,000$/4yrs | |||
Nils Hoglander | 0 | LW/RW | 100.00 | 69 | 32 | 85 | 61 | 69 | 75 | 82 | 60 | 55 | 64 | 61 | 54 | 60 | 66 | 65 | 0 | 19 | 72 | 25 | 3,000,000$/3yrs | |||
| TEAM AVERAGE | 100.00 | 69 | 36 | 83 | 68 | 78 | 83 | 88 | 67 | 57 | 71 | 69 | 66 | 68 | 74 | 73 | 0 | 73 | 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 | 91 | 95 | 81 | 89 | 95 | 85 | 94 | 93 | 92 | 94 | 94 | 86 | 90 | 0 | 81 | 94 | 35 | 5,250,000$/2yrs |
Jakub Dobes | 0 | 100.00 | 71 | 88 | 78 | 84 | 83 | 73 | 84 | 92 | 85 | 93 | 84 | 67 | 71 | 0 | 84 | 86 | 24 | 965,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 81 | 92 | 80 | 87 | 89 | 79 | 89 | 93 | 89 | 94 | 89 | 77 | 81 | 0 | 83 | 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 | 80 | 31 | 68 | 99 | 37 | 35 | 5 | 147 | 396 | 103 | 252 | 7.83% | 10 | 21.47 | 5 | 13 | 18 | 279 | 0 | 0 | 0 | 3 | 6 | 1 | 50.55% | 2018 | 0 | 0 | 0 | 2 | 1.15 | 1 | 5 | |
| 2 | Nikita Kucherov | 0 | RW | 78 | 39 | 52 | 91 | 30 | 40 | 0 | 113 | 404 | 105 | 293 | 9.65% | 5 | 20.75 | 6 | 14 | 20 | 283 | 0 | 0 | 0 | 0 | 11 | 5 | 31.36% | 118 | 0 | 0 | 0 | 0 | 1.12 | 0 | 7 | |
| 3 | Wyatt Johnston | 0 | C/RW | 80 | 38 | 35 | 73 | 15 | 14 | 0 | 74 | 333 | 95 | 253 | 11.41% | 15 | 19.75 | 12 | 10 | 22 | 266 | 0 | 0 | 0 | 22 | 4 | 4 | 47.77% | 404 | 0 | 0 | 0 | 1 | 0.92 | 3 | 8 | |
| 4 | Mike Matheson | 19 | D | 80 | 15 | 53 | 68 | 19 | 49 | 5 | 122 | 161 | 53 | 101 | 9.32% | 113 | 23.49 | 9 | 19 | 28 | 286 | 0 | 0 | 0 | 79 | 4 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.72 | 0 | 1 | |
| 5 | Clayton Keller | 9 | C/LW/RW | 80 | 21 | 31 | 52 | 43 | 20 | 0 | 68 | 203 | 63 | 145 | 10.34% | 7 | 21.54 | 2 | 12 | 14 | 262 | 0 | 0 | 0 | 57 | 6 | 1 | 41.62% | 185 | 0 | 0 | 0 | 0 | 0.60 | 2 | 3 | |
| 6 | Marco Rossi | 0 | C | 80 | 21 | 27 | 48 | -7 | 32 | 10 | 100 | 188 | 62 | 136 | 11.17% | 7 | 18.48 | 6 | 11 | 17 | 242 | 0 | 1 | 1 | 47 | 4 | 5 | 50.24% | 1863 | 0 | 0 | 1 | 0 | 0.65 | 0 | 1 | |
| 7 | Darnell Nurse | 0 | D | 80 | 14 | 30 | 44 | 10 | 108 | 20 | 216 | 127 | 41 | 80 | 11.02% | 94 | 23.86 | 11 | 5 | 16 | 280 | 0 | 2 | 2 | 222 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 1 | 1 | |
| 8 | Ryan Pulock | 6 | D | 80 | 5 | 31 | 36 | 19 | 50 | 0 | 98 | 93 | 22 | 61 | 5.38% | 96 | 23.19 | 3 | 7 | 10 | 233 | 0 | 2 | 2 | 238 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 9 | Martin Fehervary | 42 | D | 80 | 5 | 31 | 36 | 11 | 28 | 0 | 74 | 100 | 38 | 95 | 5.00% | 97 | 21.91 | 1 | 10 | 11 | 227 | 0 | 0 | 0 | 220 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 10 | Colton Sissons | 0 | C/LW/RW | 80 | 8 | 19 | 27 | 1 | 20 | 0 | 47 | 112 | 32 | 74 | 7.14% | 18 | 13.54 | 0 | 0 | 0 | 7 | 0 | 3 | 3 | 301 | 1 | 0 | 54.61% | 1540 | 0 | 0 | 1 | 0 | 0.50 | 0 | 0 | |
| 11 | Jake DeBrusk | 74 | LW/RW | 80 | 12 | 12 | 24 | -1 | 38 | 0 | 100 | 144 | 51 | 93 | 8.33% | 7 | 15.63 | 2 | 4 | 6 | 187 | 0 | 0 | 0 | 1 | 4 | 1 | 37.14% | 70 | 0 | 0 | 0 | 0 | 0.38 | 0 | 1 | |
| 12 | Jeremy Lauzon | 0 | D | 80 | 3 | 15 | 18 | -7 | 147 | 25 | 189 | 32 | 8 | 24 | 9.38% | 69 | 12.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 13 | Dakota Joshua | 8 | C/LW | 80 | 7 | 8 | 15 | -6 | 52 | 0 | 162 | 101 | 18 | 53 | 6.93% | 7 | 10.80 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 149 | 0 | 1 | 44.35% | 124 | 0 | 0 | 0 | 0 | 0.35 | 1 | 1 | |
| 14 | Drew O'Connor | 0 | LW/RW | 80 | 7 | 8 | 15 | -5 | 6 | 0 | 35 | 74 | 17 | 41 | 9.46% | 12 | 9.80 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 299 | 0 | 1 | 43.86% | 57 | 0 | 0 | 0 | 0 | 0.38 | 0 | 1 | |
| 15 | Cody Glass | 0 | C/RW | 80 | 4 | 10 | 14 | -5 | 4 | 0 | 26 | 71 | 25 | 44 | 5.63% | 9 | 8.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 53.19% | 564 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 16 | Nils Hoglander | 0 | LW/RW | 51 | 9 | 5 | 14 | 2 | 18 | 0 | 44 | 69 | 18 | 52 | 13.04% | 2 | 12.71 | 0 | 1 | 1 | 140 | 0 | 0 | 0 | 0 | 3 | 0 | 34.29% | 35 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 17 | Ilya Lyubushkin | 0 | D | 80 | 2 | 11 | 13 | -5 | 10 | 0 | 41 | 34 | 12 | 26 | 5.88% | 107 | 15.90 | 0 | 1 | 1 | 21 | 0 | 1 | 1 | 240 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 18 | Ethen Frank | 0 | C/RW | 40 | 6 | 5 | 11 | 2 | 17 | 5 | 18 | 59 | 19 | 41 | 10.17% | 2 | 9.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 33.33% | 33 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 19 | James van Riemsdyk | 0 | LW | 62 | 4 | 4 | 8 | -20 | 11 | 5 | 32 | 57 | 10 | 42 | 7.02% | 7 | 13.20 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 33 | 0 | 0 | 40.69% | 462 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 20 | Jesperi Kotkaniemi | 0 | C/LW | 61 | 0 | 4 | 4 | -3 | 4 | 0 | 29 | 29 | 6 | 20 | 0.00% | 3 | 5.74 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 32 | 0 | 0 | 48.45% | 388 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| Team Total or Average | 1492 | 251 | 459 | 710 | 130 | 703 | 75 | 1735 | 2787 | 798 | 1926 | 9.01% | 687 | 16.51 | 57 | 108 | 165 | 2765 | 5 | 9 | 14 | 1956 | 50 | 20 | 49.73% | 7861 | 0 | 0 | 3 | 3 | 0.58 | 8 | 29 |
| 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 | 72 | 46 | 20 | 4 | 0.922 | 2.29 | 4248 | 2 | 6 | 162 | 2068 | 0 | 1 | 2 | 0.655 | 29 | 72 | 8 | 8 | 9 | 2 | |
| 2 | Jakub Dobes | 2 | 1 | 0 | 0 | 0.975 | 0.80 | 75 | 0 | 0 | 1 | 40 | 0 | 0 | 0 | 1.000 | 3 | 0 | 21 | 0 | 0 | 0 | |
| Team Total or Average | 74 | 47 | 20 | 4 | 0.923 | 2.26 | 4323 | 2 | 6 | 163 | 2108 | 0 | 1 | 2 | 0.688 | 32 | 72 | 29 | 8 | 9 | 2 |
| Projected Total Cap Hit | 95,491,800$ |
| Projected Cap Space | 8,200$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 93,926,220$ |
| 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 | 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 | 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 | 24 | 965,000$ | 965,000$ | 965,000$ | ||||||
James van Riemsdyk ![]() | LW | 36 | 4,000,000$ | 4,000,000$ | 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 | 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 | 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/LW/RW | 25 | 950,000$ | 950,000$ | RFA | ||||||
Antonio Stranges | C/LW | 24 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Cole Krygier | D | 27 | 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 | 23 | 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 | 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/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 | 23 | 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 |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
| |||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
| ||||||
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| 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 | 4 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 14 | 11 | 3 | 7 | 0.875 | 14 | 28 | 42 | 0 | 0 | 3 | 4 | 6 | 1 | 159 | 49 | 57 | 47 | 6 | 102 | 33 | 37 | 91 | 24 | 5 | 20.83% | 16 | 4 | 75.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 111 | 80 | 81 | 27 | 50 | 27 | 56.3% | 8.8% | 89.2% | 98.0 | Unlucky | |
| 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 64 | 23 | 23 | 18 | 0 | 73 | 19 | 14 | 32 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 48 | 34 | 47 | 13 | 24 | 11 | 16.7% | 3.1% | 91.8% | 94.9 | DULL | |
| 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 6 | 1 | 1 | 0 | 69 | 31 | 12 | 26 | 0 | 41 | 17 | 14 | 35 | 7 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 53 | 38 | 41 | 14 | 25 | 13 | 72.7% | 11.6% | 92.7% | 104.3 | LUCKY | |
| 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 56 | 21 | 16 | 19 | 0 | 53 | 14 | 14 | 41 | 10 | 1 | 10.00% | 7 | 1 | 85.71% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 51 | 37 | 44 | 14 | 23 | 12 | 60.0% | 12.5% | 90.6% | 103.1 | FUN | |
| 5 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 1 | 0.250 | 3 | 6 | 9 | 1 | 0 | 1 | 0 | 2 | 0 | 78 | 24 | 18 | 34 | 2 | 62 | 25 | 32 | 40 | 7 | 2 | 28.57% | 5 | 1 | 80.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 50 | 36 | 46 | 13 | 24 | 11 | 16.7% | 3.8% | 90.3% | 94.2 | Unlucky | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 1 | 0 | 2 | 2 | 1 | 0 | 70 | 15 | 25 | 30 | 0 | 74 | 18 | 23 | 55 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 1 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 44 | 29 | 50 | 14 | 24 | 12 | 44.4% | 7.1% | 91.9% | 99.0 | DULL | |
| 7 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 0.667 | 9 | 16 | 25 | 0 | 2 | 2 | 3 | 4 | 0 | 76 | 26 | 24 | 26 | 0 | 80 | 18 | 24 | 72 | 11 | 3 | 27.27% | 12 | 1 | 91.67% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 75 | 51 | 67 | 21 | 37 | 19 | 75.0% | 11.8% | 96.3% | 108.1 | LUCKY | |
| 8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 59 | 24 | 17 | 13 | 7 | 50 | 13 | 17 | 41 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 57 | 42 | 43 | 13 | 24 | 12 | 42.9% | 6.8% | 92.0% | 98.8 | DULL | |
| 9 | 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 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 49 | 34 | 44 | 14 | 26 | 12 | 50.0% | 7.3% | 87.5% | 94.8 | Unlucky | |
| 10 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 0 | 3 | 69 | 21 | 23 | 21 | 8 | 63 | 17 | 12 | 32 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 52 | 37 | 49 | 13 | 23 | 11 | 66.7% | 7.2% | 95.2% | 102.5 | DULL | |
| 11 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 2 | 1 | 71 | 20 | 21 | 24 | 6 | 58 | 13 | 16 | 30 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 55 | 40 | 45 | 13 | 24 | 13 | 50.0% | 7.0% | 91.4% | 98.4 | DULL | |
| 12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 60 | 25 | 15 | 20 | 0 | 62 | 12 | 26 | 38 | 5 | 0 | 0.00% | 11 | 0 | 100.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 49 | 33 | 46 | 13 | 24 | 12 | 60.0% | 10.0% | 93.5% | 103.5 | LUCKY | |
| 13 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 13 | 8 | 5 | 6 | 0.750 | 13 | 23 | 36 | 0 | 0 | 6 | 4 | 2 | 1 | 140 | 41 | 47 | 49 | 6 | 129 | 25 | 36 | 100 | 15 | 2 | 13.33% | 18 | 2 | 88.89% | 1 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 105 | 72 | 87 | 29 | 52 | 27 | 64.7% | 9.3% | 93.8% | 103.1 | LUCKY | |
| 14 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 14 | 0 | 4 | 0.500 | 14 | 21 | 35 | 0 | 0 | 6 | 4 | 4 | 0 | 123 | 47 | 45 | 31 | 0 | 115 | 30 | 32 | 87 | 15 | 2 | 13.33% | 16 | 3 | 81.25% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 101 | 68 | 88 | 28 | 50 | 25 | 52.2% | 11.4% | 87.8% | 99.2 | FUN | |
| 15 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 7 | -4 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 66 | 21 | 17 | 26 | 4 | 59 | 22 | 45 | 45 | 5 | 1 | 20.00% | 10 | 1 | 90.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 50 | 35 | 49 | 15 | 25 | 13 | 25.0% | 4.5% | 88.1% | 92.7 | Unlucky | |
| 16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 4 | 1.000 | 9 | 15 | 24 | 0 | 1 | 1 | 7 | 1 | 0 | 79 | 14 | 36 | 29 | 0 | 46 | 14 | 16 | 39 | 8 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 51 | 36 | 44 | 14 | 23 | 12 | 90.0% | 11.4% | 97.8% | 109.2 | LUCKY | |
| 17 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 13 | -1 | 4 | 0.667 | 12 | 19 | 31 | 0 | 0 | 3 | 3 | 5 | 1 | 100 | 25 | 36 | 32 | 9 | 109 | 38 | 30 | 83 | 9 | 1 | 11.11% | 14 | 2 | 85.71% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 73 | 50 | 73 | 22 | 37 | 18 | 50.0% | 12.0% | 88.1% | 100.1 | FUN | |
| 18 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 4 | 3 | 3 | 0 | 86 | 31 | 33 | 22 | 0 | 84 | 25 | 20 | 58 | 11 | 3 | 27.27% | 10 | 3 | 70.00% | 1 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 73 | 52 | 72 | 20 | 34 | 17 | 50.0% | 11.6% | 88.1% | 99.7 | FUN | |
| 19 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 14 | -3 | 2 | 0.333 | 11 | 20 | 31 | 0 | 0 | 3 | 3 | 5 | 0 | 88 | 23 | 37 | 28 | 0 | 104 | 30 | 20 | 51 | 16 | 4 | 25.00% | 10 | 4 | 60.00% | 1 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 73 | 51 | 70 | 21 | 36 | 18 | 41.2% | 12.5% | 86.5% | 99.0 | FUN | |
| 20 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 1 | 1 | 1 | 1 | 65 | 24 | 27 | 12 | 5 | 74 | 18 | 10 | 47 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 44 | 32 | 55 | 14 | 25 | 12 | 57.1% | 6.2% | 94.6% | 100.7 | DULL | |
| 21 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 8 | -3 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 0 | 3 | 2 | 0 | 74 | 18 | 21 | 32 | 5 | 83 | 22 | 10 | 35 | 7 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 49 | 35 | 48 | 15 | 26 | 13 | 38.5% | 6.8% | 90.4% | 97.1 | Unlucky | |
| 22 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 6 | 1.000 | 9 | 15 | 24 | 0 | 1 | 6 | 2 | 1 | 0 | 107 | 33 | 36 | 38 | 0 | 60 | 18 | 21 | 55 | 15 | 4 | 26.67% | 7 | 1 | 85.71% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 79 | 55 | 60 | 22 | 39 | 19 | 62.5% | 8.4% | 93.3% | 101.7 | DULL | |
| 23 | 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 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 48 | 34 | 46 | 14 | 24 | 12 | 87.5% | 15.7% | 96.9% | 112.6 | LUCKY | |
| 24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 0 | 3 | 4 | 0 | 77 | 15 | 34 | 28 | 0 | 78 | 21 | 16 | 40 | 9 | 3 | 33.33% | 7 | 0 | 100.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 51 | 37 | 45 | 12 | 22 | 12 | 57.1% | 9.1% | 96.2% | 105.2 | LUCKY | |
| 25 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 14 | 7 | 7 | 5 | 0.833 | 14 | 25 | 39 | 0 | 0 | 9 | 1 | 4 | 0 | 119 | 45 | 37 | 35 | 2 | 92 | 26 | 24 | 67 | 16 | 6 | 37.50% | 12 | 1 | 91.67% | 1 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 78 | 55 | 68 | 21 | 37 | 18 | 57.1% | 11.8% | 92.4% | 104.2 | LUCKY | |
| 26 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.500 | 9 | 16 | 25 | 0 | 0 | 4 | 2 | 3 | 4 | 85 | 30 | 27 | 24 | 15 | 87 | 30 | 41 | 83 | 9 | 3 | 33.33% | 16 | 1 | 93.75% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 70 | 46 | 74 | 24 | 40 | 19 | 42.9% | 10.6% | 89.7% | 100.2 | FUN | |
| 27 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 11 | 9 | 2 | 4 | 1.000 | 11 | 16 | 27 | 0 | 0 | 3 | 3 | 3 | 2 | 63 | 18 | 23 | 19 | 6 | 61 | 18 | 10 | 37 | 7 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 51 | 37 | 50 | 13 | 25 | 12 | 55.0% | 17.5% | 85.2% | 102.7 | FUN | |
| 28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 2 | 0 | 52 | 16 | 18 | 18 | 0 | 68 | 24 | 14 | 44 | 10 | 1 | 10.00% | 7 | 1 | 85.71% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 45 | 31 | 49 | 14 | 25 | 12 | 40.0% | 5.8% | 94.1% | 99.9 | DULL | |
| 29 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 10 | 3 | 6 | 0.750 | 13 | 22 | 35 | 0 | 0 | 8 | 1 | 3 | 1 | 127 | 48 | 39 | 39 | 1 | 100 | 36 | 31 | 81 | 14 | 3 | 21.43% | 12 | 1 | 91.67% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 99 | 71 | 90 | 28 | 50 | 26 | 52.6% | 10.2% | 90.0% | 100.2 | FUN | |
| 30 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 3 | 4 | 3 | 0 | 102 | 39 | 33 | 30 | 0 | 92 | 26 | 35 | 73 | 10 | 4 | 40.00% | 14 | 2 | 85.71% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 68 | 47 | 75 | 22 | 36 | 17 | 60.0% | 9.8% | 93.5% | 103.3 | LUCKY | |
| 31 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 6 | 0.750 | 7 | 12 | 19 | 0 | 2 | 4 | 3 | 0 | 0 | 139 | 46 | 60 | 33 | 0 | 110 | 35 | 19 | 86 | 22 | 4 | 18.18% | 6 | 1 | 83.33% | 0 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 110 | 80 | 80 | 28 | 49 | 26 | 50.0% | 5.0% | 96.4% | 101.4 | DULL | |
| _Vs Division | 26 | 14 | 7 | 0 | 2 | 1 | 2 | 0 | 83 | 66 | 17 | 37 | 0.712 | 83 | 143 | 226 | 0 | 2 | 33 | 23 | 23 | 4 | 890 | 295 | 317 | 261 | 22 | 757 | 223 | 220 | 601 | 109 | 21 | 19.27% | 96 | 15 | 84.38% | 1 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 669 | 472 | 577 | 188 | 328 | 167 | 54.9% | 9.3% | 91.3% | 100.6 | LUCKY | |
| _Vs Conference | 48 | 27 | 13 | 0 | 2 | 2 | 2 | 2 | 154 | 124 | 30 | 66 | 0.688 | 154 | 270 | 424 | 0 | 5 | 64 | 40 | 46 | 8 | 1577 | 529 | 543 | 480 | 43 | 1385 | 404 | 441 | 1070 | 197 | 45 | 22.84% | 184 | 27 | 85.33% | 4 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 1218 | 854 | 1086 | 349 | 603 | 305 | 52.9% | 9.8% | 91.0% | 100.8 | FUN | |
| _Since Last GM Reset | 80 | 40 | 23 | 0 | 5 | 3 | 5 | 4 | 244 | 197 | 47 | 107 | 0.669 | 244 | 429 | 673 | 2 | 6 | 92 | 71 | 71 | 15 | 2629 | 848 | 895 | 836 | 82 | 2366 | 684 | 696 | 1700 | 307 | 58 | 18.89% | 283 | 36 | 87.28% | 5 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 2023 | 1430 | 1841 | 576 | 998 | 505 | 53.6% | 9.3% | 91.7% | 101.0 | LUCKY | |
| Total | 80 | 40 | 23 | 0 | 5 | 3 | 5 | 4 | 244 | 197 | 47 | 107 | 0.669 | 244 | 429 | 673 | 2 | 6 | 92 | 71 | 71 | 15 | 2629 | 848 | 895 | 836 | 82 | 2366 | 684 | 696 | 1700 | 307 | 58 | 18.89% | 283 | 36 | 87.28% | 5 | 1525 | 2924 | 52.15% | 1405 | 2781 | 50.52% | 586 | 1214 | 48.27% | 2023 | 1430 | 1841 | 576 | 998 | 505 | 53.6% | 9.3% | 91.7% | 101.0 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2924 |
| Neutral Zone Start | 1214 |
| Defensive Zone Start | 2781 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3516 |
| Faceoffs Lost | 3403 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.6 | 9.57 |
| 2nd Period | 21.8 | 20.31 |
| 3rd Period | 32.2 | 30.68 |
| Overtime | 33.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 2.0 | 1.65 |
| 3rd Period | 2.9 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 179 |
|---|---|
| PP Goal | 58 |
| PK Goal | 5 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 27 | 23 |
| Lost | 11 | 12 |
| Overtime Lost | 3 | 4 |
| PP Attempt | 307 |
|---|---|
| PP Goal | 58 |
| PK Attempt | 283 |
| PK Goal Against | 36 |
| Home | |
|---|---|
| Shots For | 32.9 |
| Shots Against | 29.6 |
| Goals For | 3.1 |
| Goals Against | 2.5 |
| Hits | 21.3 |
| Shots Blocked | 8.6 |
| Pim | 8.7 |
| 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 | |||||||||||
| 2025-11-14 | @ | Ducks1,Red Wings3 | RECAP | |||||||||||
| 2025-11-16 | @ | Ducks3,Wild2 | RECAP | |||||||||||
| 2025-11-18 | @ | Mammoth4,Ducks7 | RECAP | |||||||||||
| 2025-11-20 | @ | Bruins3,Ducks2 | RECAP | |||||||||||
| 2025-11-21 | @ | Senators4,Ducks3 | RECAP | |||||||||||
| 2025-11-23 | @ | Golden Knights1,Ducks5 | RECAP | |||||||||||
| 2025-11-27 | @ | Canucks1,Ducks4 | RECAP | |||||||||||
| 2025-11-29 | @ | Kings5,Ducks3 | RECAP | |||||||||||
| 2025-12-01 | @ | Ducks4,Blackhawks3 | RECAP | |||||||||||
| 2025-12-02 | @ | Ducks1,Blues4 | RECAP | |||||||||||
| 2025-12-04 | @ | Mammoth4,Ducks2 | RECAP | |||||||||||
| 2025-12-06 | @ | Capitals3,Ducks2 | RECAP | |||||||||||
| 2025-12-08 | @ | Blackhawks0,Ducks3 | RECAP | |||||||||||
| 2025-12-10 | @ | Ducks0,Penguins2 | RECAP | |||||||||||
| 2025-12-12 | @ | Ducks1,Islanders2 (OT) | RECAP | |||||||||||
| 2025-12-14 | @ | Ducks3,Devils1 | RECAP | |||||||||||
| 2025-12-16 | @ | Ducks3,Rangers2 | RECAP | |||||||||||
| 2025-12-17 | @ | Ducks4,Blue Jackets2 | RECAP | |||||||||||
| 2025-12-20 | @ | Stars3,Ducks2 | RECAP | |||||||||||
| 2025-12-21 | @ | Blue Jackets1,Ducks3 | RECAP | |||||||||||
| 2025-12-23 | @ | Kraken2,Ducks4 | RECAP | |||||||||||
| 2025-12-28 | @ | Ducks6,Kings3 | RECAP | |||||||||||
| 2025-12-30 | @ | Sharks3,Ducks5 | RECAP | |||||||||||
| 2026-01-01 | @ | Lightning0,Ducks6 | RECAP | |||||||||||
| 2026-01-03 | @ | Wild2,Ducks3 | RECAP | |||||||||||
| 2026-01-06 | @ | Ducks3,Capitals2 (OT) | RECAP | |||||||||||
| 2026-01-07 | @ | Ducks1,Flyers4 | RECAP | |||||||||||
| 2026-01-09 | @ | Ducks3,Hurricanes5 | RECAP | |||||||||||
| 2026-01-11 | @ | Ducks2,Sabres3 (SO) | RECAP | |||||||||||
| 2026-01-14 | @ | Stars1,Ducks3 | RECAP | |||||||||||
| 2026-01-17 | @ | Ducks2,Kings4 | RECAP | |||||||||||
| 2026-01-18 | @ | Kings2,Ducks3 | RECAP | |||||||||||
| 2026-01-20 | @ | Rangers2,Ducks1 (SO) | RECAP | |||||||||||
| 2026-01-22 | @ | Ducks2,Avalanche3 | RECAP | |||||||||||
| 2026-01-24 | @ | Ducks1,Kraken0 | RECAP | |||||||||||
| 2026-01-26 | @ | Ducks4,Flames2 | RECAP | |||||||||||
| 2026-01-27 | @ | Ducks1,Oilers5 | RECAP | |||||||||||
| 2026-01-30 | @ | Ducks1,Canucks2 | RECAP | |||||||||||
| 2026-02-02 | @ | Golden Knights4,Ducks2 | RECAP | |||||||||||
| 2026-02-04 | @ | Kraken0,Ducks1 | RECAP | |||||||||||
| 2026-02-26 | @ | Oilers5,Ducks6 (SO) | RECAP | |||||||||||
| 2026-02-28 | @ | Jets1,Ducks8 | RECAP | |||||||||||
| 2026-03-02 | @ | Flames1,Ducks2 (OT) | RECAP | |||||||||||
| 2026-03-04 | @ | Avalanche0,Ducks4 | RECAP | |||||||||||
| 2026-03-05 | @ | Islanders4,Ducks2 | RECAP | |||||||||||
| 2026-03-07 | @ | Canadiens2,Ducks3 (SO) | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-09 | @ | Blues4,Ducks6 | RECAP | |||||||||||
| 2026-03-11 | @ | Ducks3,Jets2 | RECAP | |||||||||||
| 2026-03-13 | @ | Ducks5,Maple Leafs4 (SO) | RECAP | |||||||||||
| 2026-03-15 | @ | Ducks4,Senators1 | RECAP | |||||||||||
| 2026-03-16 | @ | Ducks2,Canadiens1 (OT) | RECAP | |||||||||||
| 2026-03-19 | @ | Flyers2,Ducks1 | RECAP | |||||||||||
| 2026-03-21 | @ | Ducks2,Mammoth6 | RECAP | |||||||||||
| 2026-03-23 | @ | Sabres5,Ducks3 | RECAP | |||||||||||
| 2026-03-25 | @ | Ducks3,Canucks2 (SO) | RECAP | |||||||||||
| 2026-03-27 | @ | Ducks4,Flames5 (OT) | RECAP | |||||||||||
| 2026-03-29 | @ | Ducks5,Oilers3 | RECAP | |||||||||||
| 2026-03-31 | @ | Maple Leafs5,Ducks6 (OT) | RECAP | |||||||||||
| 2026-04-02 | @ | Ducks3,Sharks2 | RECAP | |||||||||||
| 2026-04-04 | @ | Blues2,Ducks3 | RECAP | |||||||||||
| 2026-04-05 | @ | Flames3,Ducks4 | RECAP | |||||||||||
| 2026-04-08 | @ | Predators3,Ducks2 (SO) | RECAP | |||||||||||
| 2026-04-10 | @ | Sharks3,Ducks2 | RECAP | |||||||||||
| 2026-04-13 | @ | Canucks3,Ducks5 | RECAP | |||||||||||
| 2026-04-15 | @ | |||||||||||||
| 2026-04-17 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 100,197,143$ | 0$ | 95,491,800$ | -4,697,143$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Honda Center | |
| City | Anaheim | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 234960 | 196394 | 79864 | 158148 | 38673 |
| Attendance PCT | 95.51% | 95.80% | 97.40% | 96.43% | 94.32% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 17269 - 95.94% | 1,577,857$ | 64,692,135$ | 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 |
|---|---|---|---|
| 94,910,595$ | 521,860$ | 93,926,220$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 3 | 527,068$ | 1,581,204$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,581,204$ | 100,197,143$ | 26,875,017$ | 25,293,813$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| 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 |
|---|---|---|---|---|---|
| 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 |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

