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Full Scoreboard »» |
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Full Scoreboard »» |
Anaheim Ducks 1-1-0, 2pts · 2nd in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor McDavid (C) | 97 | C | 100.00 | 70 | 33 | 84 | 97 | 76 | 92 | 90 | 94 | 84 | 97 | 95 | 79 | 94 | 72 | 86 | 0 | 83 | 99 | 27 | 12,500,000$/3yrs | |||
Clayton Keller | 9 | C/LW/RW | 100.00 | 57 | 34 | 79 | 86 | 68 | 89 | 90 | 83 | 60 | 84 | 84 | 68 | 84 | 68 | 66 | 0 | 83 | 90 | 25 | 7,000,000$/4yrs | |||
Mikael Granlund | 64 | C/LW/RW | 100.00 | 65 | 32 | 83 | 77 | 70 | 90 | 86 | 79 | 84 | 86 | 73 | 89 | 76 | 80 | 86 | 0 | 83 | 90 | 32 | 5,000,000$/2yrs | |||
Colton Sissons | 0 | C/LW/RW | 100.00 | 74 | 33 | 82 | 75 | 79 | 84 | 90 | 76 | 85 | 73 | 79 | 84 | 77 | 76 | 75 | 0 | 82 | 88 | 30 | 2,857,143$/3yrs | |||
Wyatt Johnston (R) | 0 | C | 100.00 | 62 | 32 | 85 | 85 | 74 | 84 | 90 | 79 | 79 | 78 | 82 | 76 | 81 | 60 | 59 | 0 | 83 | 88 | 20 | 894,167$/2yrs | |||
Jake DeBrusk | 74 | LW/RW | 100.00 | 71 | 33 | 91 | 79 | 76 | 83 | 86 | 77 | 58 | 75 | 80 | 75 | 78 | 71 | 70 | 0 | 83 | 87 | 27 | 4,750,000$/4yrs | |||
Teuvo Teravainen | 86 | LW/RW | 100.00 | 55 | 32 | 94 | 79 | 73 | 83 | 90 | 76 | 61 | 78 | 79 | 76 | 78 | 75 | 75 | 0 | 82 | 87 | 29 | 5,400,000$/1yrs | |||
Cam Atkinson | 13 | RW | 100.00 | 55 | 31 | 91 | 78 | 65 | 84 | 72 | 73 | 61 | 74 | 75 | 81 | 74 | 84 | 83 | 0 | 83 | 86 | 34 | 5,875,000$/2yrs | |||
Dakota Joshua | 8 | C/LW | 100.00 | 90 | 52 | 70 | 72 | 83 | 79 | 88 | 73 | 61 | 72 | 75 | 84 | 74 | 72 | 69 | 0 | 83 | 86 | 27 | 785,000$/1yrs | |||
Marco Rossi (R) | 0 | C | 100.00 | 55 | 39 | 66 | 82 | 68 | 83 | 90 | 78 | 76 | 76 | 80 | 64 | 79 | 62 | 59 | 0 | 81 | 85 | 22 | 925,000$/1yrs | |||
Stefan Noesen | 23 | RW | 100.00 | 70 | 33 | 80 | 74 | 80 | 76 | 90 | 76 | 60 | 75 | 78 | 60 | 77 | 77 | 75 | 0 | 83 | 85 | 31 | 800,000$/1yrs | |||
Jason Zucker | 0 | LW/RW | 100.00 | 81 | 35 | 80 | 72 | 74 | 81 | 88 | 74 | 59 | 73 | 79 | 65 | 76 | 79 | 77 | 0 | 83 | 84 | 32 | 3,875,000$/2yrs | |||
Mike Matheson | 19 | D | 100.00 | 62 | 33 | 75 | 78 | 77 | 99 | 90 | 79 | 30 | 84 | 70 | 92 | 74 | 77 | 74 | 0 | 83 | 92 | 30 | 4,875,000$/3yrs | |||
Darnell Nurse | 0 | D | 100.00 | 77 | 38 | 74 | 73 | 89 | 94 | 90 | 73 | 30 | 75 | 71 | 92 | 72 | 74 | 82 | 0 | 82 | 90 | 29 | 6,250,000$/5yrs | |||
Ryan Pulock | 6 | D | 100.00 | 76 | 34 | 91 | 67 | 85 | 93 | 83 | 71 | 30 | 71 | 67 | 89 | 69 | 75 | 74 | 0 | 83 | 87 | 29 | 5,000,000$/1yrs | |||
Joel Edmundson | 0 | D | 100.00 | 75 | 40 | 73 | 63 | 90 | 86 | 82 | 66 | 30 | 68 | 60 | 89 | 63 | 77 | 81 | 0 | 84 | 84 | 30 | 3,500,000$/1yrs | |||
Martin Fehervary | 42 | D | 100.00 | 82 | 33 | 84 | 64 | 79 | 88 | 87 | 69 | 30 | 67 | 60 | 87 | 64 | 66 | 64 | 0 | 83 | 84 | 24 | 4,125,000$/7yrs | |||
Connor Clifton | 0 | D | 100.00 | 82 | 50 | 72 | 60 | 73 | 83 | 90 | 69 | 30 | 69 | 62 | 85 | 65 | 74 | 71 | 0 | 83 | 83 | 28 | 2,500,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 36 | 81 | 76 | 77 | 86 | 87 | 76 | 56 | 76 | 75 | 80 | 75 | 73 | 74 | 0 | 83 | 88 |
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 | 98.00 | 88 | 95 | 81 | 89 | 89 | 83 | 90 | 94 | 88 | 94 | 90 | 82 | 87 | 0 | 83 | 93 | 33 | 5,500,000$/2yrs |
Arvid Soderblom | 0 | 100.00 | 75 | 83 | 76 | 75 | 71 | 68 | 76 | 87 | 78 | 83 | 76 | 66 | 69 | 0 | 78 | 82 | 24 | 962,500$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 82 | 89 | 79 | 82 | 80 | 76 | 83 | 91 | 83 | 89 | 83 | 74 | 78 | 0 | 81 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 79 | 87 | 92 | 85 | 75 | 69 | 82 | CAN | 50 | 1 | 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 | Clayton Keller | Ducks | 9 | C/LW/RW | 2 | 0 | 3 | 3 | -1 | 0 | 0 | 2 | 11 | 2 | 10 | 0.00% | 1 | 21.16 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 1 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 1.42 | 0 | 0 |
2 | Connor McDavid | Ducks | 97 | C | 2 | 1 | 2 | 3 | -1 | 2 | 0 | 8 | 12 | 1 | 10 | 8.33% | 0 | 20.37 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 0 | 0 | 1 | 42.19% | 64 | 0 | 0 | 0 | 0 | 1.47 | 0 | 0 |
3 | Darnell Nurse | Ducks | 0 | D | 2 | 0 | 2 | 2 | 0 | 4 | 0 | 1 | 6 | 0 | 4 | 0.00% | 1 | 24.87 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 |
4 | Martin Fehervary | Ducks | 42 | D | 2 | 1 | 1 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 1 | 13.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.54 | 0 | 0 |
5 | Colton Sissons | Ducks | 0 | C/LW/RW | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 33.33% | 0 | 8.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 65.22% | 23 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 |
6 | Connor Clifton | Ducks | 0 | D | 2 | 1 | 0 | 1 | 2 | 0 | 0 | 3 | 1 | 0 | 0 | 100.00% | 1 | 13.74 | 1 | 0 | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 |
7 | Mikael Granlund | Ducks | 64 | C/LW/RW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 4 | 8 | 5 | 9 | 0.00% | 0 | 17.14 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 7 | 0 | 0 | 42.86% | 28 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 |
8 | Stefan Noesen | Ducks | 23 | RW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 3 | 1 | 1 | 0.00% | 0 | 6.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.46 | 0 | 0 |
9 | Dakota Joshua | Ducks | 8 | C/LW | 2 | 1 | 0 | 1 | 1 | 2 | 0 | 7 | 6 | 0 | 4 | 16.67% | 1 | 10.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 |
10 | Cam Atkinson | Ducks | 13 | RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 6 | 1 | 5 | 0.00% | 0 | 18.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
11 | Jake DeBrusk | Ducks | 74 | LW/RW | 2 | 0 | 0 | 0 | -1 | 2 | 0 | 4 | 7 | 1 | 6 | 0.00% | 0 | 20.39 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
12 | Marco Rossi | Ducks | 0 | C | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 0 | 9.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34.78% | 23 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
13 | Jason Zucker | Ducks | 0 | LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 | 0 | 0.00% | 0 | 6.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
14 | Joel Edmundson | Ducks | 0 | D | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 8 | 4 | 1 | 1 | 0.00% | 2 | 20.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
15 | Mike Matheson | Ducks | 19 | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 1 | 4 | 0.00% | 5 | 25.93 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
16 | Ryan Pulock | Ducks | 6 | D | 2 | 0 | 0 | 0 | -3 | 2 | 0 | 3 | 2 | 0 | 3 | 0.00% | 5 | 22.23 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Teuvo Teravainen | Ducks | 86 | LW/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 2 | 1 | 1 | 0.00% | 0 | 16.97 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Wyatt Johnston | Ducks | 0 | C | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 12 | 1 | 4 | 0.00% | 0 | 16.97 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 53.49% | 43 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 36 | 5 | 10 | 15 | -5 | 12 | 0 | 56 | 92 | 17 | 64 | 5.43% | 17 | 16.33 | 1 | 2 | 3 | 82 | 0 | 0 | 0 | 47 | 1 | 1 | 46.19% | 197 | 0 | 0 | 0 | 0 | 0.51 | 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 | Ducks | 2 | 1 | 1 | 0 | 0.924 | 2.52 | 119 | 0 | 0 | 5 | 66 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Team Total or Average | 2 | 1 | 1 | 0 | 0.924 | 2.52 | 119 | 0 | 0 | 5 | 66 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Ducks Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Arvid Soderblom | G | 24 | 962,500$ | 962,500$ | 962,500$ | RFA | |||||
Cam Atkinson | RW | 34 | 5,875,000$ | 5,875,000$ | 5,875,000$ | UFA | |||||
Clayton Keller | C/LW/RW | 25 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Colton Sissons | C/LW/RW | 30 | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | UFA | ||||
Connor Clifton | D | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Connor McDavid | C | 27 | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | UFA | ||||
Dakota Joshua | C/LW | 27 | 785,000$ | 785,000$ | UFA | ||||||
Darcy Kuemper | G | 33 | 5,500,000$ | 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$ | 6,250,000$ | UFA | ||
Jake DeBrusk | LW/RW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Jason Zucker | LW/RW | 32 | 3,875,000$ | 3,875,000$ | 3,875,000$ | UFA | |||||
Joel Edmundson | D | 30 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Marco Rossi | C | 22 | 925,000$ | 925,000$ | RFA | ||||||
Martin Fehervary | D | 24 | 4,125,000$ | 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$ | 5,000,000$ | UFA | |||||
Mike Matheson | D | 30 | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | UFA | ||||
Ryan Pulock | D | 29 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Stefan Noesen | RW | 31 | 800,000$ | 800,000$ | UFA | ||||||
Teuvo Teravainen | LW/RW | 29 | 5,400,000$ | 5,400,000$ | UFA | ||||||
Wyatt Johnston | C | 20 | 894,167$ | 894,167$ | 894,167$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Alex Belzile | C/LW/RW | 32 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Antonio Stranges | C/LW | 22 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Antti Saarela | C | 22 | 0$ | RFA | |||||||
Beck Malenstyn | C/LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Ben Hutton | D | 31 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Brad Malone | C | 34 | 775,000$ | 775,000$ | UFA | ||||||
Byron Froese | C/RW | 33 | 800,000$ | 800,000$ | UFA | ||||||
Chad Ruhwedel | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
Charlie Lindgren | G | 30 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Chris Tierney | C/LW | 29 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Cole Krygier | D | 25 | 837,500$ | 837,500$ | 837,500$ | UFA | |||||
David Spacek | D | 21 | 0$ | RFA | |||||||
Donovan Sebrango | D | 22 | 850,000$ | 850,000$ | RFA | ||||||
Drew O'Connor | LW | 25 | 0$ | RFA | |||||||
Eetu Liukas | LW | 21 | 0$ | RFA | |||||||
Elmer Soderblom | C/RW | 22 | 878,333$ | 878,333$ | 878,333$ | RFA | |||||
Gabriel Bourque | LW/RW | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Haydn Fleury | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jakub Dobes | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
Jaxsen Wiebe | C | 21 | 852,500$ | 852,500$ | 852,500$ | 852,500$ | RFA | ||||
Jimmy Vesey | LW/RW | 30 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
John Parker-Jones | RW/D | 24 | 775,000$ | 775,000$ | RFA | ||||||
Justin Dowling | C/LW/RW | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Leo Loof | D | 22 | 0$ | RFA | |||||||
Liam O'Brien | LW | 29 | 800,000$ | 800,000$ | UFA | ||||||
Matt Villalta | G | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Max Sasson | C | 23 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Mitchell Gibson | G | 24 | 867,500$ | 867,500$ | RFA | ||||||
Nicolas Beaudin | D | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Nikita Chibrikov | LW | 21 | 0$ | RFA | |||||||
Ole Bjorgvik-Holm | D | 21 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Patrik Koch | D | 27 | 847,500$ | 847,500$ | UFA | ||||||
Ryder Rolston | C | 22 | 0$ | RFA | |||||||
Scott Sabourin | RW | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Spencer Stastney | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Thomas Bordeleau | C | 22 | 916,667$ | 916,667$ | RFA | ||||||
Ty Glover | C | 23 | 859,167$ | 859,167$ | RFA | ||||||
Uvis Balinskis | D | 27 | 870,000$ | 870,000$ | UFA | ||||||
Waltteri Merela | RW | 25 | 870,000$ | 870,000$ | 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 | Canucks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 92 | 34 | 34 | 24 | 0 | 66 | 17 | 12 | 56 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 49 | 102 | 48.04% | 29 | 68 | 42.65% | 13 | 27 | 48.15% | 53 | 37 | 42 | 13 | 23 | 11 | 44.4% | 5.4% | 92.4% | 97.9 | DULL |
_Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 92 | 34 | 34 | 24 | 0 | 66 | 17 | 12 | 56 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 49 | 102 | 48.04% | 29 | 68 | 42.65% | 13 | 27 | 48.15% | 53 | 37 | 42 | 13 | 23 | 11 | 44.4% | 5.4% | 92.4% | 97.9 | DULL | |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 92 | 34 | 34 | 24 | 0 | 66 | 17 | 12 | 56 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 49 | 102 | 48.04% | 29 | 68 | 42.65% | 13 | 27 | 48.15% | 53 | 37 | 42 | 13 | 23 | 11 | 44.4% | 5.4% | 92.4% | 97.9 | DULL | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 92 | 34 | 34 | 24 | 0 | 66 | 17 | 12 | 56 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 49 | 102 | 48.04% | 29 | 68 | 42.65% | 13 | 27 | 48.15% | 53 | 37 | 42 | 13 | 23 | 11 | 44.4% | 5.4% | 92.4% | 97.9 | DULL | |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 92 | 34 | 34 | 24 | 0 | 66 | 17 | 12 | 56 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 49 | 102 | 48.04% | 29 | 68 | 42.65% | 13 | 27 | 48.15% | 53 | 37 | 42 | 13 | 23 | 11 | 44.4% | 5.4% | 92.4% | 97.9 | DULL |
Puck Time | |
---|---|
Offensive Zone | 26 |
Neutral Zone | 11 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 102 |
Neutral Zone Start | 27 |
Defensive Zone Start | 68 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 91 |
Faceoffs Lost | 106 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 17.0 | 9.57 |
2nd Period | 34.0 | 20.31 |
3rd Period | 46.0 | 30.68 |
Overtime | 46.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 9 |
---|---|
PP Goal | 1 |
PK Attempt | 6 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 46.0 |
Shots Against | 33.0 |
Goals For | 2.5 |
Goals Against | 2.5 |
Hits | 28.0 |
Shots Blocked | 8.5 |
Pim | 6.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-04-23 | Canucks | @ | Ducks | Canucks2,Ducks3 | RECAP | |||||||||
2024-04-25 | Canucks | @ | Ducks | Canucks3,Ducks2 | RECAP | |||||||||
2024-04-27 | Ducks | @ | Canucks | |||||||||||
2024-04-29 | Ducks | @ | Canucks | |||||||||||
2024-05-01 | Canucks | @ | Ducks | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-05-03 | Ducks | @ | Canucks | |||||||||||
2024-05-05 | Canucks | @ | Ducks |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,373,810$ | 0$ | 0$ | 126,190$ |
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 | 12000 | 10000 | 4000 | 8000 | 2000 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 100.00% | 100.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 18000 - 100.00% | 1,651,000$ | 3,302,000$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,373,810$ | 83,373,810$ | 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$ | 9 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 83,373,810$ | 65,486,849$ | 65,486,849$ |
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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2024 | ||||||||
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 |
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 |
---|---|---|---|---|---|
Albert Wikman | Ducks | 2023 | 120 | ||
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 | ||
Jacob Truscott | Ducks | 2020 | 183 | ||
Jaden Lipinski | Ducks | 2023 | 115 | ||
Juraj Pekarcik | Ducks | 2023 | 83 | ||
Kalem Parker | Ducks | 2023 | 179 | ||
Kristian Kostadinski | Ducks | 2023 | 211 | ||
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 | ||
Stephen Halliday | Ducks | 2020 | 201 | ||
Ty Henricks | Ducks | 2023 | 185 | ||
Ty Murchison | Ducks | 2021 | 163 |
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