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Full Scoreboard »» |
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Full Scoreboard »» |
Anaheim Ducks 0-1-0, 0pts · 8th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 97 | C | 99.00 | 69 | 34 | 86 | 90 | 76 | 92 | 87 | 87 | 82 | 99 | 81 | 61 | 84 | 73 | 87 | 0 | 70 | 94 | 28 | 12,500,000$/2yrs | |||
![]() | 0 | RW | 99.00 | 66 | 32 | 90 | 78 | 74 | 89 | 86 | 76 | 60 | 75 | 83 | 73 | 79 | 81 | 80 | 0 | 34 | 87 | 32 | 5,125,000$/4yrs | |||
![]() | 9 | C/LW/RW | 99.00 | 56 | 32 | 87 | 81 | 68 | 88 | 90 | 79 | 60 | 82 | 80 | 56 | 79 | 70 | 75 | 0 | 71 | 86 | 26 | 7,000,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 62 | 32 | 89 | 79 | 74 | 86 | 90 | 75 | 81 | 74 | 80 | 70 | 77 | 62 | 61 | 0 | 70 | 84 | 21 | 894,167$/5yrs | |||
![]() | 0 | C | 100.00 | 65 | 82 | 89 | 76 | 68 | 85 | 90 | 71 | 82 | 74 | 74 | 57 | 73 | 64 | 63 | 0 | 70 | 81 | 23 | 863,333$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 36 | 73 | 72 | 74 | 81 | 88 | 69 | 60 | 74 | 74 | 55 | 71 | 81 | 79 | 0 | 70 | 81 | 33 | 3,875,000$/1yrs | |||
![]() | 86 | C/LW/RW | 100.00 | 57 | 32 | 94 | 73 | 73 | 84 | 90 | 69 | 61 | 75 | 71 | 68 | 70 | 77 | 76 | 0 | 70 | 81 | 30 | 6,000,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 73 | 32 | 71 | 63 | 73 | 84 | 73 | 68 | 58 | 66 | 70 | 76 | 69 | 90 | 87 | 0 | 59 | 80 | 38 | 5,750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 38 | 78 | 70 | 63 | 86 | 90 | 69 | 58 | 72 | 70 | 65 | 69 | 74 | 72 | 0 | 57 | 79 | 29 | 4,950,000$/2yrs | |||
![]() | 74 | LW/RW | 100.00 | 71 | 33 | 92 | 69 | 76 | 84 | 90 | 68 | 59 | 66 | 74 | 66 | 71 | 73 | 72 | 0 | 70 | 79 | 28 | 4,750,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 74 | 33 | 86 | 62 | 79 | 82 | 89 | 62 | 84 | 65 | 64 | 80 | 63 | 78 | 77 | 0 | 70 | 77 | 31 | 2,857,143$/2yrs | |||
![]() | 8 | C/LW | 100.00 | 94 | 46 | 72 | 62 | 83 | 78 | 84 | 63 | 61 | 62 | 69 | 72 | 66 | 74 | 71 | 0 | 70 | 77 | 28 | 3,250,000$/4yrs | |||
![]() | 19 | D | 99.00 | 65 | 34 | 77 | 70 | 77 | 98 | 90 | 70 | 30 | 76 | 62 | 85 | 66 | 78 | 76 | 0 | 69 | 85 | 31 | 4,875,000$/2yrs | |||
![]() | 0 | D | 99.00 | 80 | 42 | 67 | 67 | 89 | 93 | 89 | 66 | 30 | 69 | 61 | 81 | 63 | 76 | 73 | 0 | 69 | 82 | 30 | 6,250,000$/4yrs | |||
![]() | 6 | D | 99.00 | 74 | 34 | 92 | 60 | 85 | 92 | 85 | 63 | 30 | 66 | 59 | 81 | 61 | 77 | 76 | 0 | 69 | 79 | 30 | 5,000,000$/5yrs | |||
![]() | 42 | D | 100.00 | 76 | 36 | 89 | 60 | 79 | 86 | 90 | 63 | 30 | 66 | 58 | 81 | 61 | 68 | 67 | 0 | 70 | 78 | 25 | 4,125,000$/6yrs | |||
![]() | 0 | D | 100.00 | 88 | 36 | 79 | 55 | 73 | 81 | 88 | 61 | 30 | 64 | 53 | 82 | 57 | 75 | 73 | 0 | 71 | 77 | 30 | 2,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 35 | 80 | 55 | 80 | 85 | 89 | 58 | 30 | 60 | 51 | 80 | 55 | 77 | 75 | 0 | 71 | 75 | 31 | 3,400,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 86 | 36 | 88 | 55 | 81 | 76 | 89 | 57 | 60 | 60 | 58 | 82 | 57 | 71 | 69 | 0 | 49 | 73 | 27 | 1,350,000$/2yrs | |||
TEAM AVERAGE | 99.68 | 72 | 38 | 83 | 68 | 76 | 86 | 88 | 68 | 55 | 71 | 68 | 72 | 68 | 75 | 74 | 0 | 66 | 81 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 90 | 95 | 81 | 89 | 96 | 87 | 94 | 93 | 93 | 94 | 94 | 85 | 89 | 0 | 80 | 94 | 34 | 5,500,000$/1yrs |
![]() | 5 | 100.00 | 88 | 92 | 79 | 74 | 88 | 78 | 88 | 92 | 84 | 93 | 88 | 78 | 83 | 0 | 76 | 89 | 31 | 1,200,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 89 | 94 | 80 | 82 | 92 | 83 | 91 | 93 | 89 | 94 | 91 | 82 | 86 | 0 | 78 | 92 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 74 | 83 | 93 | 75 | 77 | 86 | 82 | CAN | 51 | 5 | 1,000,000$ |
General Manager | Sou MMsaiphon |
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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 |
# | 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 | Marco Rossi | 0 | C | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0.00% | 0 | 14.80 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 14 | 0 | 0 | 0 | 0 | 1.35 | 0 | 0 | |
2 | T.J. Oshie | 0 | RW | 1 | 0 | 1 | 1 | 0 | 4 | 0 | 4 | 1 | 0 | 1 | 0.00% | 0 | 11.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.73 | 0 | 0 | |
3 | Martin Fehervary | 42 | D | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 16.72 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.20 | 0 | 0 | |
4 | Ilya Lyubushkin | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 2 | 1 | 0.00% | 3 | 20.13 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
5 | Conor Garland | 0 | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 7.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
6 | Bryan Rust | 0 | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 0 | 1 | 0.00% | 0 | 22.30 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
7 | Clayton Keller | 9 | C/LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0.00% | 0 | 21.37 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
8 | Colton Sissons | 0 | C/LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 9.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 55.56% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
9 | Connor McDavid | 97 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 5 | 0.00% | 0 | 22.73 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 48.15% | 27 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
10 | Darnell Nurse | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 2 | 0 | 4 | 0.00% | 2 | 23.07 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
11 | Jake DeBrusk | 74 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0.00% | 0 | 11.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
12 | Connor Clifton | 0 | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 1 | 14.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
13 | Jason Zucker | 0 | LW/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 3 | 0 | 1 | 0.00% | 0 | 13.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
14 | Mike Matheson | 19 | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 1 | 1 | 3 | 0.00% | 0 | 23.15 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
15 | Ryan Pulock | 6 | D | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 5 | 1 | 1 | 1 | 0.00% | 0 | 22.87 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
16 | Teuvo Teravainen | 86 | C/LW/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 0 | 1 | 1 | 0.00% | 0 | 16.25 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
17 | Dakota Joshua | 8 | C/LW | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 7.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Wyatt Johnston | 0 | C/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 4 | 2 | 3 | 0.00% | 0 | 16.25 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 27.27% | 11 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 18 | 1 | 2 | 3 | -15 | 6 | 0 | 24 | 24 | 12 | 27 | 4.17% | 7 | 16.38 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 20 | 0 | 0 | 38.16% | 76 | 0 | 0 | 0 | 0 | 0.20 | 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 | 1 | 0 | 1 | 0 | 0.853 | 5.00 | 60 | 0 | 0 | 5 | 34 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
Team Total or Average | 1 | 0 | 1 | 0 | 0.853 | 5.00 | 60 | 0 | 0 | 5 | 34 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Ducks Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Beck Malenstyn ![]() | C/LW/RW | 27 | 1,350,000$ | 1,350,000$ | 1,350,000$ | UFA | |||||
Bryan Rust ![]() | RW | 32 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | |||
Charlie Lindgren ![]() | G | 31 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Clayton Keller ![]() | C/LW/RW | 26 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Colton Sissons ![]() | C/LW/RW | 31 | 2,857,143$ | 2,857,143$ | 2,857,143$ | UFA | |||||
Connor Clifton ![]() | D | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Connor McDavid ![]() | C | 28 | 12,500,000$ | 12,500,000$ | 12,500,000$ | UFA | |||||
Conor Garland ![]() | LW/RW | 29 | 4,950,000$ | 4,950,000$ | 4,950,000$ | UFA | |||||
Dakota Joshua ![]() | C/LW | 28 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||
Darcy Kuemper | G | 34 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Darnell Nurse ![]() | D | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |||
Ilya Lyubushkin ![]() | D | 31 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||||
Jake DeBrusk ![]() | LW/RW | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Jason Zucker ![]() | LW/RW | 33 | 3,875,000$ | 3,875,000$ | UFA | ||||||
Marco Rossi ![]() | C | 23 | 863,333$ | 863,333$ | RFA | ||||||
Martin Fehervary ![]() | D | 25 | 4,125,000$ | 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$ | 4,875,000$ | UFA | |||||
Ryan Pulock ![]() | D | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
T.J. Oshie ![]() | RW | 38 | 5,750,000$ | 5,750,000$ | UFA | ||||||
Teuvo Teravainen ![]() | C/LW/RW | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Wyatt Johnston ![]() | C/RW | 21 | 894,167$ | 894,167$ | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas ![]() | C | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Antonio Stranges ![]() | C/LW | 23 | 846,667$ | 846,667$ | RFA | ||||||
Antti Saarela ![]() | C | 23 | 896,250$ | 896,250$ | RFA | ||||||
Arvid Soderblom ![]() | G | 25 | 962,500$ | 962,500$ | ![]() | ||||||
Ben Hutton ![]() | D | 32 | 950,000$ | 950,000$ | UFA | ||||||
Chris Tierney ![]() | C/LW | 30 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Cole Krygier ![]() | D | 26 | 837,500$ | 837,500$ | ![]() | ||||||
Colin Blackwell ![]() | C/RW | 32 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
David Spacek ![]() | D | 22 | 862,500$ | 862,500$ | 862,500$ | RFA | |||||
Donovan Sebrango ![]() | D | 23 | 828,333$ | 828,333$ | RFA | ||||||
Drew O'Connor ![]() | LW/RW | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Dylan Roobroeck ![]() | C/LW/RW | 20 | 0$ | RFA | |||||||
Elmer Soderblom ![]() | C/LW/RW | 23 | 878,333$ | 878,333$ | RFA | ||||||
Haydn Fleury ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Jakub Dobes ![]() | G | 23 | 925,000$ | 925,000$ | RFA | ||||||
Jakub Rychlovsky ![]() | LW | 23 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Jaxsen Wiebe ![]() | C | 22 | 852,500$ | 852,500$ | 852,500$ | RFA | |||||
Jimmy Vesey ![]() | LW/RW | 31 | 925,000$ | 925,000$ | UFA | ||||||
John Parker-Jones ![]() | RW/D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Justin Dowling ![]() | C/LW/RW | 34 | 775,000$ | 775,000$ | UFA | ||||||
Leo Loof ![]() | D | 23 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Matt Villalta ![]() | G | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Max Sasson ![]() | C | 24 | 870,000$ | 870,000$ | RFA | ||||||
Mitchell Gibson ![]() | G | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Nate Danielson ![]() | C | 20 | 0$ | RFA | |||||||
Nicolas Beaudin ![]() | D | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Nikita Chibrikov ![]() | LW/RW | 22 | 875,833$ | 875,833$ | 875,833$ | RFA | |||||
Ole Bjorgvik-Holm ![]() | D | 22 | 825,000$ | 825,000$ | RFA | ||||||
Pat Maroon ![]() | LW/RW | 37 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Patrik Koch ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Scott Sabourin ![]() | RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Spencer Martin ![]() | G | 29 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Spencer Stastney ![]() | D | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Stephen Halliday ![]() | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Thomas Bordeleau ![]() | C/LW | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Ty Glover ![]() | C | 24 | 859,167$ | 859,167$ | RFA | ||||||
Uvis Balinskis ![]() | D | 28 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Waltteri Merela ![]() | RW | 26 | 775,000$ | 775,000$ | ![]() |
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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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 9 | 10 | 5 | 0 | 34 | 7 | 6 | 24 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 9 | 26 | 34.62% | 12 | 34 | 35.29% | 8 | 16 | 50.00% | 21 | 14 | 26 | 7 | 12 | 6 | 20.0% | 4.2% | 85.3% | 89.5 | Unlucky | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 9 | 10 | 5 | 0 | 34 | 7 | 6 | 24 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 9 | 26 | 34.62% | 12 | 34 | 35.29% | 8 | 16 | 50.00% | 21 | 14 | 26 | 7 | 12 | 6 | 20.0% | 4.2% | 85.3% | 89.5 | Unlucky | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 9 | 10 | 5 | 0 | 34 | 7 | 6 | 24 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 9 | 26 | 34.62% | 12 | 34 | 35.29% | 8 | 16 | 50.00% | 21 | 14 | 26 | 7 | 12 | 6 | 20.0% | 4.2% | 85.3% | 89.5 | Unlucky | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 9 | 10 | 5 | 0 | 34 | 7 | 6 | 24 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 9 | 26 | 34.62% | 12 | 34 | 35.29% | 8 | 16 | 50.00% | 21 | 14 | 26 | 7 | 12 | 6 | 20.0% | 4.2% | 85.3% | 89.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 12 |
Defensive Zone | 26 |
Puck Time | |
---|---|
Offensive Zone Start | 26 |
Neutral Zone Start | 16 |
Defensive Zone Start | 34 |
Puck Time | |
---|---|
With Puck | 28 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 29 |
Faceoffs Lost | 47 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.0 | 9.57 |
2nd Period | 19.0 | 20.31 |
3rd Period | 24.0 | 30.68 |
Overtime | 24.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 1 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 0 |
PK Attempt | 3 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 24.0 |
Shots Against | 34.0 |
Goals For | 1.0 |
Goals Against | 5.0 |
Hits | 24.0 |
Shots Blocked | 7.0 |
Pim | 6.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-02 | @ | Ducks1,Hockey Club5 | RECAP | |||||||||||
2025-05-04 | @ | |||||||||||||
2025-05-06 | @ | |||||||||||||
2025-05-08 | @ | |||||||||||||
2025-05-10 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-12 | @ | |||||||||||||
2025-05-14 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
92,014,643$ | 0$ | 0$ | -4,014,643$ |
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
92,014,643$ | 92,014,643$ | 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$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 92,014,643$ | 55,476,583$ | 55,476,583$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
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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 | |||
Andre Gasseau | 2021 | 181 | |||
Arseni Sergeev | 2021 | 149 | |||
Francesco Arcuri | 2021 | 213 | |||
Grant Slukynsky | 2020 | 190 | |||
Ilya Protas | 2024 | 105 | |||
Jacob Truscott | 2020 | 183 | |||
Jaden Lipinski | 2023 | 115 | |||
Jakub Fibigr | 2024 | 209 | |||
Javon Moore | 2024 | 112 | |||
Juraj Pekarcik | 2023 | 83 | |||
Kalem Parker | 2023 | 179 | |||
Kim Saarinen | 2024 | 96 | |||
Kristian Kostadinski | 2023 | 211 | |||
Logan Sawyer | 2024 | 99 | |||
Makar Khanin | 2024 | 224 | |||
Maxim Barbashev | 2022 | 165 | |||
Maximilian Glotzl | 2020 | 215 | |||
Oskar Jellvik | 2021 | 171 | |||
Paul Fischer | 2023 | 147 | |||
Quentin Miller | 2023 | 91 | |||
Rody Ross | 2019 | 183 | |||
Teddy Stiga | 2024 | 32 | |||
Ty Henricks | 2023 | 185 | |||
Ty Murchison | 2021 | 163 |
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