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Full Scoreboard »» |
Anaheim Ducks 6-8-3, 15pts · 14th 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 | 99.00 | 71 | 33 | 85 | 95 | 76 | 92 | 90 | 93 | 84 | 99 | 91 | 71 | 92 | 73 | 88 | 0 | 35 | 99 | 27 | 12,500,000$/2yrs | |||
Clayton Keller | 9 | C/LW/RW | 99.00 | 56 | 33 | 82 | 82 | 68 | 89 | 90 | 79 | 60 | 80 | 82 | 61 | 81 | 69 | 67 | 0 | 35 | 86 | 26 | 7,000,000$/3yrs | |||
Mikael Granlund | 64 | C/LW/RW | 99.00 | 65 | 32 | 84 | 73 | 70 | 91 | 87 | 75 | 84 | 84 | 66 | 83 | 71 | 80 | 88 | 0 | 35 | 85 | 32 | 5,000,000$/1yrs | |||
Wyatt Johnston | 0 | C | 99.00 | 63 | 32 | 84 | 80 | 74 | 84 | 90 | 75 | 79 | 73 | 80 | 71 | 77 | 61 | 59 | 0 | 35 | 84 | 21 | 894,167$/1yrs | |||
Teuvo Teravainen | 86 | LW/RW | 99.00 | 55 | 32 | 95 | 74 | 73 | 83 | 89 | 71 | 61 | 71 | 76 | 71 | 73 | 76 | 75 | 0 | 35 | 82 | 30 | 6,000,000$/5yrs | |||
Jake DeBrusk | 74 | LW/RW | 99.00 | 71 | 33 | 91 | 73 | 76 | 83 | 87 | 71 | 58 | 68 | 75 | 71 | 73 | 72 | 71 | 0 | 35 | 81 | 28 | 4,750,000$/3yrs | |||
Dakota Joshua | 8 | C/LW | 100.00 | 92 | 49 | 68 | 67 | 83 | 79 | 85 | 68 | 61 | 65 | 73 | 79 | 71 | 73 | 70 | 0 | 35 | 80 | 28 | 3,250,000$/4yrs | |||
Jason Zucker | 0 | LW/RW | 100.00 | 79 | 39 | 71 | 66 | 74 | 80 | 88 | 68 | 59 | 67 | 73 | 58 | 70 | 80 | 77 | 0 | 35 | 79 | 32 | 3,875,000$/1yrs | |||
Colton Sissons | 0 | C/LW/RW | 100.00 | 77 | 33 | 87 | 63 | 79 | 82 | 90 | 64 | 86 | 65 | 66 | 80 | 65 | 77 | 76 | 0 | 35 | 78 | 31 | 2,857,143$/2yrs | |||
Cam Atkinson | 13 | RW | 100.00 | 60 | 35 | 86 | 66 | 65 | 82 | 76 | 65 | 60 | 64 | 67 | 72 | 66 | 85 | 83 | 0 | 35 | 77 | 35 | 5,875,000$/1yrs | |||
Marco Rossi | 0 | C | 100.00 | 59 | 35 | 80 | 71 | 68 | 83 | 90 | 69 | 78 | 65 | 72 | 60 | 70 | 63 | 61 | 0 | 35 | 77 | 23 | 863,333$/1yrs | |||
Beck Malenstyn | 0 | C/LW | 100.00 | 87 | 36 | 89 | 56 | 80 | 78 | 79 | 60 | 60 | 62 | 59 | 85 | 59 | 69 | 68 | 0 | 35 | 75 | 26 | 1,350,000$/2yrs | |||
Mike Matheson | 19 | D | 97.00 | 62 | 33 | 76 | 75 | 77 | 98 | 90 | 75 | 30 | 82 | 64 | 86 | 70 | 77 | 75 | 0 | 35 | 88 | 30 | 4,875,000$/2yrs | |||
Darnell Nurse | 0 | D | 98.00 | 78 | 39 | 70 | 67 | 89 | 93 | 90 | 67 | 30 | 69 | 64 | 85 | 66 | 75 | 83 | 0 | 32 | 83 | 29 | 6,250,000$/4yrs | |||
Ryan Pulock | 6 | D | 99.00 | 74 | 34 | 92 | 61 | 85 | 93 | 84 | 65 | 30 | 65 | 60 | 82 | 63 | 75 | 75 | 0 | 35 | 80 | 30 | 5,000,000$/5yrs | |||
Ilya Lyubushkin | 0 | D | 100.00 | 81 | 36 | 74 | 55 | 80 | 84 | 89 | 61 | 30 | 58 | 50 | 86 | 55 | 76 | 73 | 0 | 35 | 75 | 30 | 3,400,000$/3yrs | |||
Martin Fehervary | 42 | D | 100.00 | 88 | 35 | 85 | 56 | 79 | 89 | 86 | 61 | 30 | 62 | 59 | 73 | 60 | 66 | 65 | 0 | 35 | 75 | 25 | 4,125,000$/6yrs | |||
Connor Clifton | 0 | D | 100.00 | 82 | 51 | 71 | 55 | 73 | 33 | 90 | 62 | 30 | 62 | 57 | 78 | 60 | 74 | 71 | 0 | 35 | 74 | 29 | 2,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.33 | 72 | 36 | 82 | 69 | 76 | 83 | 87 | 69 | 56 | 70 | 69 | 75 | 69 | 73 | 74 | 0 | 35 | 81 |
Priority | Type | Description |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Charlie Lindgren | 5 | 99.00 | 88 | 94 | 80 | 74 | 86 | 78 | 86 | 88 | 85 | 89 | 86 | 77 | 81 | 0 | 39 | 88 | 30 | 1,200,000$/1yrs |
Darcy Kuemper | 0 | 100.00 | 85 | 91 | 79 | 89 | 81 | 75 | 83 | 87 | 82 | 87 | 83 | 83 | 87 | 0 | 39 | 88 | 34 | 5,500,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 87 | 93 | 80 | 82 | 84 | 77 | 85 | 88 | 84 | 88 | 85 | 80 | 84 | 0 | 39 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 79 | 86 | 94 | 91 | 75 | 69 | 82 | CAN | 51 | 5 | 1,000,000$ |
General Manager | Sou MMsaiphon |
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Priority | Type | Description |
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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 | Ducks | 97 | C | 17 | 8 | 11 | 19 | -2 | 6 | 0 | 28 | 100 | 24 | 62 | 8.00% | 3 | 20.58 | 2 | 3 | 5 | 70 | 0 | 0 | 0 | 0 | 2 | 0 | 53.73% | 456 | 0 | 0 | 1 | 0 | 1.09 | 0 | 0 |
2 | Mikael Granlund | Ducks | 64 | C/LW/RW | 17 | 8 | 8 | 16 | 3 | 12 | 0 | 30 | 57 | 17 | 50 | 14.04% | 6 | 22.55 | 2 | 2 | 4 | 69 | 0 | 0 | 0 | 59 | 1 | 1 | 50.99% | 151 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 |
3 | Mike Matheson | Ducks | 19 | D | 17 | 2 | 10 | 12 | -9 | 6 | 0 | 19 | 25 | 18 | 21 | 8.00% | 29 | 26.65 | 0 | 1 | 1 | 68 | 0 | 0 | 0 | 49 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 |
4 | Clayton Keller | Ducks | 9 | C/LW/RW | 17 | 5 | 6 | 11 | -2 | 2 | 0 | 11 | 59 | 13 | 37 | 8.47% | 0 | 21.49 | 1 | 2 | 3 | 70 | 0 | 0 | 0 | 16 | 1 | 0 | 41.18% | 34 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 |
5 | Darnell Nurse | Ducks | 0 | D | 17 | 1 | 10 | 11 | 3 | 35 | 5 | 35 | 16 | 5 | 20 | 6.25% | 25 | 23.42 | 0 | 1 | 1 | 68 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 |
6 | Teuvo Teravainen | Ducks | 86 | LW/RW | 17 | 5 | 4 | 9 | 3 | 4 | 0 | 7 | 52 | 16 | 33 | 9.62% | 2 | 18.02 | 1 | 1 | 2 | 57 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 20 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 |
7 | Colton Sissons | Ducks | 0 | C/LW/RW | 17 | 2 | 4 | 6 | -2 | 0 | 0 | 4 | 14 | 5 | 10 | 14.29% | 2 | 10.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 46.49% | 185 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 |
8 | Jake DeBrusk | Ducks | 74 | LW/RW | 17 | 3 | 3 | 6 | 0 | 8 | 0 | 37 | 42 | 7 | 27 | 7.14% | 6 | 19.14 | 0 | 0 | 0 | 58 | 0 | 0 | 0 | 0 | 0 | 0 | 38.10% | 21 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
9 | Wyatt Johnston | Ducks | 0 | C | 17 | 4 | 2 | 6 | 3 | 6 | 0 | 31 | 46 | 11 | 30 | 8.70% | 3 | 18.08 | 1 | 0 | 1 | 58 | 0 | 0 | 0 | 0 | 0 | 0 | 44.63% | 410 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 |
10 | Connor Clifton | Ducks | 0 | D | 17 | 0 | 5 | 5 | -1 | 8 | 0 | 27 | 7 | 4 | 7 | 0.00% | 8 | 11.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 |
11 | Ryan Pulock | Ducks | 6 | D | 17 | 0 | 5 | 5 | -6 | 6 | 0 | 35 | 22 | 6 | 18 | 0.00% | 19 | 25.17 | 0 | 2 | 2 | 60 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 |
12 | Marco Rossi | Ducks | 0 | C | 17 | 1 | 3 | 4 | -5 | 0 | 0 | 0 | 23 | 4 | 13 | 4.35% | 0 | 7.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 162 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 |
13 | Dakota Joshua | Ducks | 8 | C/LW | 17 | 1 | 3 | 4 | -2 | 8 | 0 | 26 | 29 | 12 | 14 | 3.45% | 1 | 9.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 |
14 | Martin Fehervary | Ducks | 42 | D | 17 | 0 | 4 | 4 | 0 | 6 | 0 | 28 | 12 | 7 | 11 | 0.00% | 8 | 14.98 | 0 | 2 | 2 | 59 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 |
15 | Ilya Lyubushkin | Ducks | 0 | D | 17 | 0 | 3 | 3 | 3 | 24 | 0 | 33 | 11 | 1 | 9 | 0.00% | 23 | 18.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 |
16 | Cam Atkinson | Ducks | 13 | RW | 17 | 2 | 1 | 3 | -5 | 0 | 0 | 5 | 25 | 6 | 15 | 8.00% | 2 | 11.11 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 65 | 0 | 0 | 40.00% | 15 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
17 | Jason Zucker | Ducks | 0 | LW/RW | 17 | 3 | 0 | 3 | -2 | 8 | 0 | 10 | 15 | 2 | 14 | 20.00% | 1 | 8.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
18 | Beck Malenstyn | Ducks | 0 | C/LW | 17 | 1 | 1 | 2 | -5 | 6 | 0 | 20 | 16 | 10 | 8 | 6.25% | 4 | 7.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 64.29% | 14 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
Team Total or Average | 306 | 46 | 83 | 129 | -26 | 145 | 5 | 386 | 571 | 168 | 399 | 8.06% | 142 | 16.36 | 7 | 14 | 21 | 643 | 0 | 0 | 0 | 400 | 6 | 1 | 48.39% | 1488 | 0 | 0 | 1 | 0 | 0.52 | 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 | Charlie Lindgren | Ducks | 14 | 5 | 6 | 3 | 0.911 | 2.76 | 847 | 0 | 0 | 39 | 440 | 0 | 0 | 1 | 0.000 | 0 | 14 | 3 | 0 | 1 | 0 |
2 | Darcy Kuemper | Ducks | 3 | 1 | 2 | 0 | 0.865 | 4.02 | 179 | 0 | 0 | 12 | 89 | 0 | 0 | 0 | 0.000 | 0 | 3 | 14 | 0 | 0 | 0 |
Team Total or Average | 17 | 6 | 8 | 3 | 0.904 | 2.98 | 1026 | 0 | 0 | 51 | 529 | 0 | 0 | 1 | 0.000 | 0 | 17 | 17 | 0 | 1 | 0 |
Projected Total Cap Hit | 87,064,572$ |
Projected Cap Space | 935,428$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 20,433,522$ |
Players In Salary Cap | 20 |
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 | 26 | 1,350,000$ | 1,350,000$ | 1,350,000$ | UFA | |||||
Cam Atkinson | RW | 35 | 5,875,000$ | 5,875,000$ | UFA | ||||||
Charlie Lindgren | G | 30 | 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 | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Connor McDavid | C | 27 | 12,500,000$ | 12,500,000$ | 12,500,000$ | 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 | 29 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |||
Ilya Lyubushkin | D | 30 | 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 | 32 | 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 | |
Mikael Granlund | C/LW/RW | 32 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Mike Matheson | D | 30 | 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 | ||
Teuvo Teravainen | 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 | 21 | 894,167$ | 894,167$ | RFA |
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 | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Antonio Stranges | C/LW | 22 | 846,667$ | 846,667$ | RFA | ||||||
Antti Saarela | C | 23 | 896,250$ | 896,250$ | RFA | ||||||
Arvid Soderblom | G | 25 | 962,500$ | 962,500$ | RFA | ||||||
Ben Hutton | D | 31 | 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$ | RFA | ||||||
Colin Blackwell | C/RW | 31 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Connor Brown | RW | 30 | 1,100,000$ | 1,100,000$ | UFA | ||||||
David Spacek | D | 21 | 862,500$ | 862,500$ | 862,500$ | RFA | |||||
Donovan Sebrango | D | 22 | 828,333$ | 828,333$ | RFA | ||||||
Drew O'Connor | LW | 26 | 925,000$ | 925,000$ | RFA | ||||||
Eetu Liukas | LW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Elmer Soderblom | C/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 | 24 | 775,000$ | 775,000$ | RFA | ||||||
Justin Dowling | C/LW/RW | 34 | 775,000$ | 775,000$ | UFA | ||||||
Leo Loof | D | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Matt Villalta | G | 25 | 800,000$ | 800,000$ | RFA | ||||||
Max Sasson | C | 24 | 870,000$ | 870,000$ | RFA | ||||||
Mitchell Gibson | G | 25 | 775,000$ | 775,000$ | RFA | ||||||
Nicolas Beaudin | D | 25 | 850,000$ | 850,000$ | RFA | ||||||
Nikita Chibrikov | LW | 21 | 875,833$ | 875,833$ | 875,833$ | RFA | |||||
Ole Bjorgvik-Holm | D | 22 | 825,000$ | 825,000$ | RFA | ||||||
Pat Maroon | LW/RW | 36 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Patrik Koch | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Ryder Rolston | C | 23 | 895,000$ | 895,000$ | 895,000$ | RFA | |||||
Scott Sabourin | RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Spencer Martin | G | 29 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Spencer Stastney | D | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Stephen Halliday | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Thomas Bordeleau | C | 22 | 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$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | Devils | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 35 | 7 | 13 | 15 | 0 | 23 | 1 | 6 | 19 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 28 | 20 | 19 | 6 | 12 | 6 | 60.0% | 11.4% | 91.3% | 102.7 | LUCKY |
2 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 32 | 6 | 14 | 12 | 0 | 28 | 4 | 16 | 25 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 26 | 19 | 22 | 7 | 10 | 5 | 66.7% | 9.4% | 92.9% | 102.2 | LUCKY |
3 | Avalanche | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 22 | 10 | 8 | 4 | 0 | 30 | 10 | 8 | 24 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 23 | 15 | 23 | 7 | 13 | 6 | 66.7% | 18.2% | 90.0% | 108.2 | FUN |
4 | Rangers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 32 | 8 | 9 | 9 | 6 | 49 | 12 | 14 | 21 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 25 | 18 | 25 | 7 | 13 | 6 | 71.4% | 15.6% | 91.8% | 107.5 | LUCKY |
5 | Red Wings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 0 | 1 | 1 | 0 | 34 | 11 | 12 | 11 | 0 | 32 | 8 | 6 | 26 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 23 | 16 | 24 | 7 | 11 | 5 | 33.3% | 5.9% | 87.5% | 93.4 | Unlucky |
6 | Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 40 | 18 | 13 | 9 | 0 | 32 | 10 | 2 | 15 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 28 | 21 | 20 | 5 | 11 | 6 | 33.3% | 5.0% | 87.5% | 92.5 | Unlucky |
7 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 11 | 9 | 10 | 0 | 38 | 10 | 31 | 18 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 23 | 15 | 23 | 7 | 12 | 6 | 50.0% | 3.3% | 94.7% | 98.1 | DULL |
8 | Kings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 37 | 12 | 8 | 17 | 0 | 34 | 12 | 6 | 25 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 25 | 17 | 22 | 7 | 12 | 6 | 25.0% | 2.7% | 91.2% | 93.9 | DULL |
9 | Hockey Club | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 28 | 9 | 11 | 8 | 0 | 47 | 8 | 10 | 32 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 20 | 13 | 26 | 7 | 12 | 6 | 40.0% | 10.7% | 91.5% | 102.2 | LUCKY |
10 | Blackhawks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 4 | 0 | 0 | 0 | 40 | 19 | 14 | 7 | 0 | 28 | 10 | 12 | 16 | 7 | 1 | 14.29% | 5 | 0 | 100.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 25 | 17 | 21 | 7 | 12 | 6 | 60.0% | 10.0% | 92.9% | 102.9 | LUCKY |
11 | Blue Jackets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 50 | 15 | 22 | 13 | 0 | 41 | 11 | 8 | 31 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 25 | 18 | 22 | 7 | 11 | 6 | 16.7% | 4.0% | 85.4% | 89.4 | Unlucky |
12 | Stars | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 38 | 14 | 13 | 10 | 1 | 24 | 9 | 4 | 20 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 27 | 18 | 23 | 7 | 13 | 6 | 33.3% | 2.6% | 91.7% | 94.3 | DULL |
13 | Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 25 | 12 | 5 | 8 | 0 | 23 | 11 | 2 | 18 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 30 | 22 | 17 | 6 | 12 | 6 | 33.3% | 12.0% | 82.6% | 94.6 | FUN |
14 | Sharks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 4 | 1 | 0 | 65 | 20 | 23 | 22 | 0 | 53 | 13 | 10 | 40 | 8 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 51 | 36 | 42 | 13 | 25 | 14 | 61.5% | 12.3% | 90.6% | 102.9 | FUN |
15 | Golden Knights | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 63 | 22 | 23 | 18 | 0 | 48 | 13 | 10 | 56 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 49 | 35 | 46 | 14 | 26 | 13 | 28.6% | 4.8% | 89.6% | 94.3 | Unlucky |
_Vs Division | 6 | 1 | 3 | 0 | 0 | 2 | 0 | 0 | 13 | 15 | -2 | 4 | 0.333 | 13 | 24 | 37 | 0 | 0 | 4 | 8 | 1 | 0 | 195 | 65 | 63 | 67 | 0 | 173 | 48 | 57 | 139 | 23 | 1 | 4.35% | 17 | 1 | 94.12% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 149 | 105 | 135 | 43 | 76 | 40 | 46.2% | 6.7% | 91.3% | 98.0 | DULL | |
_Vs Conference | 11 | 3 | 5 | 0 | 0 | 3 | 0 | 0 | 27 | 30 | -3 | 9 | 0.409 | 27 | 51 | 78 | 0 | 0 | 13 | 12 | 2 | 0 | 363 | 135 | 122 | 105 | 1 | 334 | 95 | 93 | 246 | 43 | 3 | 6.98% | 33 | 3 | 90.91% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 275 | 192 | 249 | 79 | 140 | 73 | 47.1% | 7.4% | 91.0% | 98.5 | Unlucky | |
_Since Last GM Reset | 17 | 5 | 8 | 0 | 1 | 3 | 0 | 0 | 46 | 52 | -6 | 15 | 0.441 | 46 | 83 | 129 | 1 | 0 | 19 | 18 | 8 | 1 | 571 | 194 | 197 | 173 | 7 | 530 | 142 | 145 | 386 | 72 | 7 | 9.72% | 57 | 7 | 87.72% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 435 | 307 | 381 | 122 | 212 | 110 | 46.4% | 8.1% | 90.2% | 98.2 | Unlucky | |
Total | 17 | 5 | 8 | 0 | 1 | 3 | 0 | 0 | 46 | 52 | -6 | 15 | 0.441 | 46 | 83 | 129 | 1 | 0 | 19 | 18 | 8 | 1 | 571 | 194 | 197 | 173 | 7 | 530 | 142 | 145 | 386 | 72 | 7 | 9.72% | 57 | 7 | 87.72% | 0 | 315 | 635 | 49.61% | 273 | 586 | 46.59% | 132 | 256 | 51.56% | 435 | 307 | 381 | 122 | 212 | 110 | 46.4% | 8.1% | 90.2% | 98.2 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 635 |
Neutral Zone Start | 256 |
Defensive Zone Start | 586 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 720 |
Faceoffs Lost | 757 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.4 | 9.57 |
2nd Period | 23.0 | 20.31 |
3rd Period | 33.2 | 30.68 |
Overtime | 33.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 38 |
---|---|
PP Goal | 7 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 5 |
Lost | 7 | 1 |
Overtime Lost | 1 | 2 |
PP Attempt | 72 |
---|---|
PP Goal | 7 |
PK Attempt | 57 |
PK Goal Against | 7 |
Home | |
---|---|
Shots For | 33.6 |
Shots Against | 31.2 |
Goals For | 2.7 |
Goals Against | 3.1 |
Hits | 22.7 |
Shots Blocked | 8.4 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-14 | Ducks | @ | Sharks | Ducks5,Sharks1 | RECAP | |||||||||
2024-10-15 | Ducks | @ | Golden Knights | Ducks1,Golden Knights2 (OT) | RECAP | |||||||||
2024-10-18 | Hockey Club | @ | Ducks | Hockey Club4,Ducks3 | RECAP | |||||||||
2024-10-20 | Ducks | @ | Avalanche | Ducks4,Avalanche3 | RECAP | |||||||||
2024-10-22 | Kings | @ | Ducks | Kings3,Ducks1 | RECAP | |||||||||
2024-10-24 | Sharks | @ | Ducks | Sharks4,Ducks3 | RECAP | |||||||||
2024-10-28 | Ducks | @ | Rangers | Ducks5,Rangers4 (OT) | RECAP | |||||||||
2024-10-29 | Ducks | @ | Devils | Ducks4,Devils2 | RECAP | |||||||||
2024-10-31 | Ducks | @ | Islanders | Ducks3,Islanders2 | RECAP | |||||||||
2024-11-02 | Ducks | @ | Penguins | Ducks3,Penguins4 | RECAP | |||||||||
2024-11-05 | Blackhawks | @ | Ducks | Blackhawks2,Ducks4 | RECAP | |||||||||
2024-11-07 | Canucks | @ | Ducks | Canucks2,Ducks1 | RECAP | |||||||||
2024-11-10 | Wild | @ | Ducks | Wild4,Ducks2 | RECAP | |||||||||
2024-11-12 | Blue Jackets | @ | Ducks | Blue Jackets6,Ducks2 | RECAP | |||||||||
2024-11-15 | Golden Knights | @ | Ducks | Golden Knights3,Ducks2 (OT) | RECAP | |||||||||
2024-11-17 | Red Wings | @ | Ducks | Red Wings4,Ducks2 | RECAP | |||||||||
2024-11-20 | Ducks | @ | Stars | Ducks1,Stars2 (OT) | RECAP | |||||||||
2024-11-21 | Ducks | @ | Blackhawks | |||||||||||
2024-11-24 | Sabres | @ | Ducks | |||||||||||
2024-11-27 | Kraken | @ | Ducks | |||||||||||
2024-11-29 | Ducks | @ | Kraken | |||||||||||
2024-12-01 | Kings | @ | Ducks | |||||||||||
2024-12-03 | Senators | @ | Ducks | |||||||||||
2024-12-06 | Golden Knights | @ | Ducks | |||||||||||
2024-12-08 | Wild | @ | Ducks | |||||||||||
2024-12-11 | Ducks | @ | Canadiens | |||||||||||
2024-12-13 | Ducks | @ | Senators | |||||||||||
2024-12-14 | Ducks | @ | Maple Leafs | |||||||||||
2024-12-16 | Ducks | @ | Blue Jackets | |||||||||||
2024-12-20 | Jets | @ | Ducks | |||||||||||
2024-12-22 | Avalanche | @ | Ducks | |||||||||||
2024-12-24 | Ducks | @ | Hockey Club | |||||||||||
2024-12-25 | Ducks | @ | Golden Knights | |||||||||||
2024-12-30 | Flyers | @ | Ducks | |||||||||||
2024-12-31 | Oilers | @ | Ducks | |||||||||||
2025-01-02 | Devils | @ | Ducks | |||||||||||
2025-01-04 | Ducks | @ | Jets | |||||||||||
2025-01-05 | Ducks | @ | Oilers | |||||||||||
2025-01-07 | Lightning | @ | Ducks | |||||||||||
2025-01-09 | Flames | @ | Ducks | |||||||||||
2025-01-11 | Ducks | @ | Blues | |||||||||||
2025-01-13 | Ducks | @ | Flyers | |||||||||||
2025-01-14 | Ducks | @ | Hurricanes | |||||||||||
2025-01-16 | Ducks | @ | Capitals | |||||||||||
2025-01-18 | Ducks | @ | Lightning | |||||||||||
2025-01-20 | Ducks | @ | Panthers | |||||||||||
2025-01-23 | Panthers | @ | Ducks | |||||||||||
2025-01-25 | Penguins | @ | Ducks | |||||||||||
2025-01-27 | Predators | @ | Ducks | |||||||||||
2025-01-30 | Ducks | @ | Kraken | |||||||||||
2025-02-01 | Ducks | @ | Flames | |||||||||||
2025-02-04 | Canadiens | @ | Ducks | |||||||||||
2025-02-06 | Stars | @ | Ducks | |||||||||||
2025-02-10 | Ducks | @ | Kings | |||||||||||
2025-02-24 | Ducks | @ | Bruins | |||||||||||
2025-02-25 | Ducks | @ | Red Wings | |||||||||||
2025-02-27 | Ducks | @ | Sabres | |||||||||||
2025-03-01 | Canucks | @ | Ducks | |||||||||||
2025-03-03 | Blackhawks | @ | Ducks | |||||||||||
2025-03-06 | Ducks | @ | Oilers | |||||||||||
2025-03-07 | Ducks | @ | Canucks | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | Blues | @ | Ducks | |||||||||||
2025-03-11 | Islanders | @ | Ducks | |||||||||||
2025-03-13 | Capitals | @ | Ducks | |||||||||||
2025-03-14 | Ducks | @ | Hockey Club | |||||||||||
2025-03-16 | Predators | @ | Ducks | |||||||||||
2025-03-18 | Ducks | @ | Blues | |||||||||||
2025-03-20 | Ducks | @ | Stars | |||||||||||
2025-03-22 | Ducks | @ | Predators | |||||||||||
2025-03-25 | Hurricanes | @ | Ducks | |||||||||||
2025-03-28 | Bruins | @ | Ducks | |||||||||||
2025-03-30 | Rangers | @ | Ducks | |||||||||||
2025-04-01 | Maple Leafs | @ | Ducks | |||||||||||
2025-04-03 | Sharks | @ | Ducks | |||||||||||
2025-04-05 | Ducks | @ | Flames | |||||||||||
2025-04-07 | Ducks | @ | Canucks | |||||||||||
2025-04-09 | Oilers | @ | Ducks | |||||||||||
2025-04-11 | Flames | @ | Ducks | |||||||||||
2025-04-12 | Ducks | @ | Kings | |||||||||||
2025-04-15 | Avalanche | @ | Ducks | |||||||||||
2025-04-17 | Ducks | @ | Wild | |||||||||||
2025-04-18 | Ducks | @ | Jets |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
87,064,643$ | 0$ | 87,064,572$ | 935,357$ |
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 | 50988 | 42513 | 17190 | 33588 | 8463 |
Attendance PCT | 94.42% | 94.47% | 95.50% | 93.30% | 94.03% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
32 | 16971 - 94.29% | 1,557,621$ | 14,018,589$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
87,064,643$ | 87,064,643$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
20,668,214$ | 444,207$ | 20,433,522$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
49,843,872$ | 150 | 449,309$ | 67,396,350$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
70,263,502$ | 87,064,643$ | 76,020,051$ | 55,600,421$ |
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 | Ducks | 2024 | 64 | ||
Albert Wikman | Ducks | 2023 | 120 | ||
Alexander Zetterberg | Ducks | 2024 | 202 | ||
Andre Gasseau | Ducks | 2021 | 181 | ||
Arseni Sergeev | Ducks | 2021 | 149 | ||
Calle Odelius | Ducks | 2022 | 32 | ||
Dylan Roobroeck | Ducks | 2023 | 160 | ||
Francesco Arcuri | Ducks | 2021 | 213 | ||
Grant Slukynsky | Ducks | 2020 | 190 | ||
Ilya Protas | Ducks | 2024 | 105 | ||
Jacob Truscott | Ducks | 2020 | 183 | ||
Jaden Lipinski | Ducks | 2023 | 115 | ||
Jakub Fibigr | Ducks | 2024 | 209 | ||
Javon Moore | Ducks | 2024 | 112 | ||
Juraj Pekarcik | Ducks | 2023 | 83 | ||
Kalem Parker | Ducks | 2023 | 179 | ||
Kim Saarinen | Ducks | 2024 | 96 | ||
Kristian Kostadinski | Ducks | 2023 | 211 | ||
Logan Sawyer | Ducks | 2024 | 99 | ||
Makar Khanin | Ducks | 2024 | 224 | ||
Maxim Barbashev | Ducks | 2022 | 165 | ||
Maximilian Glotzl | Ducks | 2020 | 215 | ||
Nate Danielson | Ducks | 2023 | 19 | ||
Oskar Jellvik | Ducks | 2021 | 171 | ||
Paul Fischer | Ducks | 2023 | 147 | ||
Quentin Miller | Ducks | 2023 | 91 | ||
Rody Ross | Ducks | 2019 | 183 | ||
Teddy Stiga | Ducks | 2024 | 32 | ||
Ty Henricks | Ducks | 2023 | 185 | ||
Ty Murchison | Ducks | 2021 | 163 |
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