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Full Scoreboard »» |
Anaheim Ducks 9-12-3, 21pts · 12th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 75 | 43 | 98 | 82 | 67 | 76 | 81 | 76 | 79 | 80 | 81 | 69 | 25 | 55 | 55 | 79 | 50 | 0 | 20 | 897,500$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 41 | 88 | 87 | 70 | 76 | 97 | 86 | 56 | 86 | 90 | 62 | 40 | 83 | 83 | 82 | 50 | 0 | 30 | 9,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 42 | 88 | 85 | 65 | 69 | 96 | 74 | 38 | 77 | 75 | 63 | 58 | 77 | 79 | 75 | 50 | 0 | 31 | 4,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 73 | 42 | 94 | 65 | 64 | 57 | 66 | 61 | 30 | 63 | 62 | 72 | 25 | 48 | 48 | 66 | 50 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 57 | 91 | 80 | 76 | 66 | 92 | 61 | 31 | 63 | 66 | 79 | 63 | 70 | 70 | 71 | 50 | 0 | 29 | 800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 76 | 53 | 90 | 76 | 69 | 64 | 87 | 57 | 33 | 59 | 70 | 85 | 75 | 71 | 74 | 72 | 50 | 0 | 28 | 2,750,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 85 | 79 | 68 | 69 | 71 | 63 | 78 | 68 | 37 | 65 | 59 | 69 | 25 | 49 | 49 | 66 | 50 | 0 | 26 | 800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 97 | 70 | 77 | 75 | 80 | 61 | 97 | 58 | 32 | 60 | 68 | 79 | 25 | 70 | 72 | 71 | 50 | 0 | 30 | 1,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 91 | 47 | 81 | 88 | 86 | 84 | 92 | 95 | 38 | 81 | 96 | 60 | 57 | 96 | 99 | 87 | 50 | 0 | 37 | 9,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 73 | 43 | 96 | 76 | 70 | 70 | 99 | 60 | 92 | 69 | 59 | 90 | 75 | 70 | 71 | 70 | 50 | 0 | 27 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 73 | 43 | 82 | 89 | 72 | 84 | 93 | 95 | 94 | 90 | 88 | 64 | 73 | 89 | 97 | 84 | 50 | 0 | 35 | 8,700,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 87 | 78 | 72 | 80 | 73 | 74 | 68 | 83 | 52 | 73 | 84 | 62 | 90 | 82 | 87 | 78 | 50 | 0 | 35 | 5,750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 80 | 55 | 74 | 81 | 77 | 76 | 77 | 59 | 25 | 54 | 49 | 94 | 25 | 78 | 78 | 65 | 50 | 0 | 32 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 89 | 68 | 67 | 70 | 60 | 57 | 25 | 50 | 48 | 88 | 25 | 55 | 55 | 61 | 50 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 44 | 81 | 80 | 70 | 79 | 92 | 59 | 25 | 62 | 49 | 87 | 25 | 71 | 72 | 66 | 50 | 0 | 29 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 44 | 77 | 91 | 74 | 86 | 90 | 82 | 25 | 77 | 50 | 84 | 41 | 70 | 74 | 71 | 50 | 0 | 24 | 9,500,000$/8yrs | |||
![]() | 0 | D | 100.00 | 83 | 60 | 76 | 74 | 81 | 69 | 88 | 59 | 25 | 52 | 48 | 81 | 25 | 66 | 67 | 63 | 50 | 0 | 28 | 2,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 87 | 85 | 70 | 80 | 96 | 83 | 25 | 71 | 58 | 73 | 38 | 77 | 80 | 70 | 50 | 0 | 31 | 4,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 73 | 43 | 94 | 71 | 67 | 62 | 63 | 60 | 25 | 59 | 57 | 73 | 25 | 60 | 61 | 64 | 50 | 0 | 27 | 825,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 56 | 88 | 80 | 77 | 67 | 77 | 59 | 25 | 43 | 47 | 79 | 25 | 79 | 80 | 61 | 50 | 0 | 35 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 99 | 99 | 65 | 68 | 75 | 72 | 63 | 59 | 25 | 45 | 48 | 83 | 25 | 56 | 56 | 62 | 50 | 0 | 27 | 750,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 78 | 53 | 84 | 79 | 72 | 72 | 83 | 69 | 40 | 66 | 64 | 76 | 42 | 70 | 72 | 71 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 71 | 61 | 59 | 86 | 78 | 64 | 99 | 72 | 78 | 71 | 90 | 46 | 46 | 74 | 50 | 0 | 22 | 850,833$/2yrs |
![]() | 0 | 100.00 | 62 | 74 | 72 | 73 | 65 | 58 | 83 | 65 | 65 | 62 | 95 | 60 | 61 | 67 | 50 | 0 | 28 | 5,400,000$/5yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 67 | 68 | 66 | 80 | 72 | 61 | 91 | 69 | 72 | 67 | 93 | 53 | 54 | 71 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 69 | 42 | 98 | 86 | 67 | 61 | 84 | 58 | 46 | 63 | 66 | 67 | 25 | 62 | 62 | 68 | 57 | 0 | 23 | 874,125$/1yrs | |||
![]() | 0 | LW | 100.00 | 76 | 72 | 85 | 69 | 72 | 63 | 65 | 57 | 50 | 54 | 56 | 63 | 53 | 44 | 44 | 61 | 47 | 0 | 27 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 45 | 95 | 65 | 80 | 65 | 82 | 66 | 25 | 45 | 53 | 65 | 25 | 45 | 45 | 61 | 57 | 0 | 21 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 73 | 88 | 65 | 73 | 73 | 79 | 51 | 25 | 45 | 41 | 63 | 39 | 46 | 46 | 55 | 47 | 0 | 27 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 74 | 89 | 66 | 74 | 71 | 76 | 54 | 25 | 52 | 41 | 64 | 39 | 44 | 44 | 56 | 57 | 0 | 21 | 813,333$/2yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Joel Bourque |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sidney Crosby | 0 | C | 24 | 9 | 15 | 24 | 4 | 17 | 5 | 32 | 78 | 27 | 41 | 11.54% | 8 | 19.30 | 1 | 3 | 4 | 62 | 0 | 0 | 0 | 0 | 2 | 1 | 63.68% | 424 | 28 | 8 | 0 | 0 | 1.04 | 0 | 0 | ||
2 | Jeff Skinner | 0 | LW/RW | 23 | 7 | 12 | 19 | 1 | 12 | 10 | 21 | 73 | 23 | 34 | 9.59% | 9 | 18.54 | 0 | 4 | 4 | 37 | 0 | 0 | 0 | 2 | 1 | 0 | 50.00% | 28 | 22 | 10 | 0 | 0 | 0.89 | 0 | 1 | ||
3 | T.J. Oshie | 0 | RW | 24 | 9 | 7 | 16 | 4 | 100 | 30 | 43 | 65 | 13 | 27 | 13.85% | 6 | 17.97 | 4 | 0 | 4 | 45 | 0 | 0 | 0 | 0 | 0 | 1 | 37.50% | 32 | 12 | 4 | 0 | 0 | 0.74 | 0 | 3 | ||
4 | Alex Ovechkin | 0 | LW | 24 | 9 | 6 | 15 | -3 | 4 | 0 | 31 | 93 | 32 | 58 | 9.68% | 7 | 18.38 | 1 | 4 | 5 | 58 | 0 | 0 | 0 | 0 | 4 | 0 | 23.81% | 21 | 23 | 6 | 0 | 1 | 0.68 | 0 | 0 | ||
5 | Tomas Tatar | 0 | LW/RW | 24 | 6 | 8 | 14 | -5 | 2 | 0 | 24 | 59 | 17 | 43 | 10.17% | 7 | 18.40 | 1 | 3 | 4 | 45 | 0 | 0 | 0 | 3 | 1 | 1 | 50.00% | 24 | 11 | 4 | 0 | 0 | 0.63 | 0 | 0 | ||
6 | Matthew Beniers | 0 | C | 23 | 3 | 6 | 9 | 1 | 15 | 15 | 23 | 42 | 22 | 29 | 7.14% | 6 | 14.52 | 2 | 0 | 2 | 32 | 0 | 0 | 0 | 11 | 0 | 0 | 52.90% | 276 | 12 | 7 | 0 | 0 | 0.54 | 0 | 0 | ||
7 | Tyson Barrie | 0 | D | 24 | 2 | 7 | 9 | 0 | 6 | 0 | 14 | 33 | 13 | 21 | 6.06% | 28 | 20.43 | 1 | 0 | 1 | 41 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 6 | 8 | 1 | 0 | 0.37 | 0 | 0 | ||
8 | Charlie McAvoy | 0 | D | 24 | 0 | 8 | 8 | -19 | 17 | 5 | 37 | 49 | 18 | 16 | 0.00% | 32 | 24.19 | 0 | 2 | 2 | 63 | 0 | 0 | 0 | 46 | 0 | 0 | 0.00% | 0 | 11 | 20 | 0 | 0 | 0.28 | 0 | 0 | ||
9 | Jimmy Vesey | 0 | LW/RW | 24 | 2 | 5 | 7 | -9 | 2 | 0 | 18 | 49 | 16 | 23 | 4.08% | 14 | 14.34 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 46 | 0 | 0 | 37.74% | 53 | 14 | 9 | 0 | 0 | 0.41 | 0 | 0 | ||
10 | Brock McGinn | 0 | LW/RW | 24 | 3 | 3 | 6 | -9 | 0 | 0 | 24 | 29 | 11 | 14 | 10.34% | 6 | 14.15 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 46 | 0 | 0 | 43.75% | 16 | 4 | 7 | 0 | 0 | 0.35 | 0 | 0 | ||
11 | David Kampf | 0 | C | 24 | 2 | 4 | 6 | -10 | 2 | 0 | 27 | 26 | 14 | 18 | 7.69% | 8 | 15.21 | 0 | 2 | 2 | 46 | 0 | 0 | 0 | 45 | 0 | 0 | 57.67% | 189 | 5 | 6 | 0 | 0 | 0.33 | 1 | 3 | ||
12 | Michael Eyssimont | 0 | C/RW | 24 | 2 | 3 | 5 | -2 | 31 | 25 | 32 | 34 | 12 | 10 | 5.88% | 3 | 13.65 | 1 | 2 | 3 | 55 | 0 | 0 | 0 | 3 | 0 | 0 | 36.67% | 60 | 3 | 4 | 0 | 0 | 0.31 | 0 | 0 | ||
13 | Carson Soucy | 0 | D | 24 | 0 | 5 | 5 | 4 | 13 | 5 | 26 | 14 | 9 | 9 | 0.00% | 19 | 13.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3 | 12 | 0 | 0 | 0.30 | 0 | 0 | ||
14 | Garnet Hathaway | 0 | LW/RW | 24 | 4 | 0 | 4 | -1 | 4 | 0 | 30 | 29 | 12 | 9 | 13.79% | 6 | 10.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0 | 0 | 33.33% | 3 | 5 | 4 | 0 | 0 | 0.33 | 0 | 0 | ||
15 | Guillaume Brisebois | 0 | D | 19 | 0 | 3 | 3 | 7 | 0 | 0 | 11 | 11 | 4 | 3 | 0.00% | 14 | 12.99 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 0.24 | 0 | 0 | ||
16 | Axel Jonsson-Fjallby | 0 | LW | 19 | 0 | 3 | 3 | -2 | 0 | 0 | 9 | 13 | 6 | 14 | 0.00% | 5 | 8.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 1 | 2 | 0 | 0 | 0.36 | 0 | 0 | ||
17 | Dylan DeMelo | 0 | D | 24 | 0 | 3 | 3 | 2 | 20 | 0 | 31 | 25 | 7 | 7 | 0.00% | 30 | 19.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 3 | 12 | 0 | 0 | 0.13 | 0 | 0 | ||
18 | Travis Hamonic | 0 | D | 24 | 0 | 1 | 1 | -20 | 24 | 10 | 34 | 16 | 13 | 7 | 0.00% | 33 | 21.91 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 6 | 20 | 0 | 0 | 0.04 | 0 | 0 | ||
19 | Justin Braun | 0 | D | 10 | 0 | 1 | 1 | -1 | 2 | 0 | 6 | 8 | 6 | 4 | 0.00% | 15 | 16.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 0.12 | 0 | 0 | ||
20 | Karson Kuhlman | 0 | RW | 5 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 3 | 0 | 3 | 0.00% | 1 | 9.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.77% | 13 | 1 | 1 | 0 | 0 | 0.44 | 0 | 0 | ||
21 | Kyle Burroughs | 0 | D | 5 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 440 | 58 | 101 | 159 | -59 | 271 | 105 | 477 | 749 | 275 | 390 | 7.74% | 257 | 16.29 | 11 | 20 | 31 | 517 | 0 | 0 | 0 | 409 | 8 | 3 | 54.59% | 1143 | 170 | 156 | 1 | 1 | 0.44 | 1 | 7 |
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 | Akira Schmid | 22 | 9 | 9 | 3 | 0.908 | 2.91 | 1258 | 0 | 1 | 61 | 665 | 355 | 1 | 0 | 0.778 | 9 | 20 | 4 | 1 | 3 | 1 | |
2 | Elvis Merzlikins | 4 | 0 | 3 | 0 | 0.843 | 5.20 | 196 | 0 | 0 | 17 | 108 | 61 | 0 | 0 | 0.000 | 0 | 4 | 20 | 0 | 0 | 0 | |
Team Total or Average | 26 | 9 | 12 | 3 | 0.899 | 3.22 | 1455 | 0 | 1 | 78 | 773 | 416 | 1 | 0 | 0.778 | 9 | 24 | 24 | 1 | 3 | 1 |
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 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 3 | 0 | 5 | 0 | 77 | 23 | 16 | 35 | 6 | 61 | 24 | 20 | 37 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 44 | 27 | 43 | 17 | 36 | 17 | 58.3% | 10.4% | 91.8% | 102.2 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 5 | 15 | 14 | 0 | 38 | 9 | 9 | 20 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 22 | 13 | 20 | 8 | 17 | 8 | 50.0% | 2.9% | 94.7% | 97.7 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 37 | 15 | 4 | 18 | 0 | 37 | 10 | 6 | 19 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 21 | 12 | 20 | 9 | 18 | 8 | 0.0% | 5.4% | 91.9% | 97.3 | DULL | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 1 | 0 | 31 | 18 | 11 | 2 | 0 | 64 | 23 | 66 | 46 | 6 | 2 | 33.33% | 8 | 2 | 75.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 38 | 18 | 40 | 18 | 40 | 20 | 44.4% | 19.4% | 89.1% | 108.4 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 38 | 11 | 15 | 12 | 0 | 26 | 9 | 6 | 33 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 23 | 14 | 19 | 8 | 17 | 8 | 100.0% | 7.9% | 96.2% | 104.0 | DULL | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 73 | 17 | 28 | 28 | 0 | 63 | 21 | 26 | 35 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 44 | 27 | 41 | 18 | 34 | 16 | 30.8% | 5.5% | 84.1% | 89.6 | Unlucky | |
7 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 0 | 3 | 0 | 37 | 12 | 9 | 16 | 0 | 30 | 13 | 4 | 24 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 25 | 16 | 19 | 8 | 17 | 9 | 33.3% | 13.5% | 80.0% | 93.5 | FUN | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 29 | 17 | 3 | 9 | 0 | 27 | 9 | 10 | 21 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 21 | 12 | 20 | 8 | 17 | 9 | 66.7% | 6.9% | 88.9% | 95.8 | Unlucky | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 55 | 13 | 24 | 18 | 0 | 74 | 21 | 12 | 28 | 6 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 37 | 20 | 47 | 18 | 35 | 17 | 33.3% | 5.5% | 89.2% | 94.6 | Unlucky | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 41 | 11 | 12 | 18 | 3 | 31 | 4 | 11 | 28 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 22 | 12 | 21 | 10 | 20 | 10 | 66.7% | 4.9% | 96.8% | 101.7 | DULL | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 8 | 11 | 9 | 3 | 32 | 15 | 6 | 18 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 24 | 14 | 20 | 10 | 19 | 10 | 42.9% | 10.7% | 87.5% | 98.2 | FUN | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 1 | 0 | 59 | 17 | 26 | 16 | 0 | 67 | 28 | 23 | 41 | 6 | 1 | 16.67% | 4 | 3 | 25.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 40 | 20 | 42 | 17 | 37 | 20 | 40.0% | 8.5% | 86.6% | 95.0 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 8 | 7 | 15 | 0 | 42 | 6 | 24 | 17 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 19 | 10 | 24 | 8 | 16 | 8 | 12.5% | 3.3% | 81.0% | 84.3 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 29 | 10 | 14 | 5 | 0 | 32 | 8 | 13 | 14 | 1 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 21 | 13 | 20 | 9 | 17 | 8 | 83.3% | 17.2% | 90.6% | 107.9 | FUN | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 9 | 11 | 6 | 0 | 30 | 10 | 0 | 14 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 21 | 11 | 19 | 8 | 19 | 11 | 0.0% | 3.8% | 90.0% | 93.8 | Unlucky | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 28 | 9 | 14 | 5 | 0 | 30 | 8 | 0 | 20 | 5 | 2 | 40.00% | 0 | 0 | 0.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 20 | 11 | 20 | 8 | 18 | 10 | 0.0% | 7.1% | 90.0% | 97.1 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 41 | 10 | 16 | 15 | 0 | 37 | 16 | 13 | 27 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 19 | 11 | 22 | 8 | 17 | 8 | 66.7% | 9.8% | 94.6% | 104.4 | LUCKY | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 3 | 0 | 3 | 0 | 62 | 26 | 20 | 16 | 0 | 52 | 24 | 19 | 41 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 45 | 25 | 37 | 19 | 36 | 18 | 71.4% | 9.7% | 96.2% | 105.8 | LUCKY | |
_Vs Division | 6 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 17 | 20 | -3 | 7 | 0.583 | 17 | 28 | 45 | 0 | 1 | 9 | 1 | 7 | 0 | 178 | 69 | 55 | 54 | 3 | 185 | 62 | 72 | 111 | 14 | 1 | 7.14% | 21 | 5 | 76.19% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 133 | 76 | 123 | 56 | 108 | 54 | 51.6% | 9.6% | 89.2% | 98.7 | FUN | |
_Vs Conference | 13 | 5 | 7 | 0 | 0 | 0 | 0 | 1 | 33 | 44 | -11 | 11 | 0.423 | 33 | 53 | 86 | 0 | 1 | 12 | 6 | 15 | 0 | 422 | 135 | 142 | 145 | 3 | 422 | 139 | 135 | 253 | 33 | 4 | 12.12% | 40 | 10 | 75.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 278 | 161 | 275 | 120 | 230 | 114 | 46.0% | 7.8% | 89.6% | 97.4 | Unlucky | |
_Since Last GM Reset | 24 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 63 | 80 | -17 | 21 | 0.438 | 63 | 101 | 164 | 0 | 1 | 22 | 15 | 25 | 1 | 755 | 239 | 256 | 257 | 12 | 773 | 258 | 268 | 483 | 68 | 13 | 19.12% | 64 | 16 | 75.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 515 | 293 | 503 | 219 | 438 | 222 | 43.9% | 8.3% | 89.7% | 98.0 | Unlucky | |
Total | 24 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 63 | 80 | -17 | 21 | 0.438 | 63 | 101 | 164 | 0 | 1 | 22 | 15 | 25 | 1 | 755 | 239 | 256 | 257 | 12 | 773 | 258 | 268 | 483 | 68 | 13 | 19.12% | 64 | 16 | 75.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 515 | 293 | 503 | 219 | 438 | 222 | 43.9% | 8.3% | 89.7% | 98.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 523 |
Neutral Zone Start | 338 |
Defensive Zone Start | 499 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 744 |
Faceoffs Lost | 616 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 31.3 | 30.68 |
Overtime | 31.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 13 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 2 |
Lost | 5 | 7 |
Overtime Lost | 2 | 1 |
PP Attempt | 68 |
---|---|
PP Goal | 13 |
PK Attempt | 64 |
PK Goal Against | 16 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 32.2 |
Goals For | 2.6 |
Goals Against | 3.3 |
Hits | 20.1 |
Shots Blocked | 10.8 |
Pim | 11.2 |
Projected Total Cap Hit | 78,773,333$ |
Projected Cap Space | 3,726,667$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 23,287,310$ |
Players In Salary Cap | 23 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid ![]() | G | 22 | 850,833$ | 850,833$ | 850,833$ | ||||||
Alex Ovechkin ![]() | LW | 37 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | ||||
Axel Jonsson-Fjallby ![]() | LW | 24 | 750,000$ | 750,000$ | |||||||
Brock McGinn ![]() | LW/RW | 28 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | |||||
Carson Soucy ![]() | D | 28 | 2,750,000$ | 2,750,000$ | |||||||
Charlie McAvoy ![]() | D | 24 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ |
David Kampf ![]() | C | 27 | 1,500,000$ | 1,500,000$ | |||||||
Dylan DeMelo ![]() | D | 29 | 3,000,000$ | 3,000,000$ | 3,000,000$ | ||||||
Elvis Merzlikins ![]() | G | 28 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | |||
Garnet Hathaway ![]() | LW/RW | 30 | 1,500,000$ | 1,500,000$ | |||||||
Guillaume Brisebois ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
Jeff Skinner ![]() | LW/RW | 30 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | |||
Jimmy Vesey ![]() | LW/RW | 29 | 800,000$ | 800,000$ | 800,000$ | ||||||
Justin Braun ![]() | D | 35 | 1,000,000$ | 1,000,000$ | |||||||
Karson Kuhlman ![]() | RW | 27 | 825,000$ | 825,000$ | |||||||
Kyle Burroughs ![]() | D | 27 | 750,000$ | 750,000$ | |||||||
Matthew Beniers ![]() | C | 20 | 897,500$ | 897,500$ | 897,500$ | ||||||
Michael Eyssimont ![]() | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Sidney Crosby ![]() | C | 35 | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | |||||
T.J. Oshie ![]() | RW | 35 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | |||||
Tomas Tatar ![]() | LW/RW | 31 | 4,500,000$ | 4,500,000$ | |||||||
Travis Hamonic ![]() | D | 32 | 3,000,000$ | 3,000,000$ | |||||||
Tyson Barrie ![]() | D | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 5 | 3 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 3 | 0 | 5 | 0 | 77 | 23 | 16 | 35 | 6 | 61 | 24 | 20 | 37 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 44 | 27 | 43 | 17 | 36 | 17 | 58.3% | 10.4% | 91.8% | 102.2 | LUCKY | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 5 | 15 | 14 | 0 | 38 | 9 | 9 | 20 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 22 | 13 | 20 | 8 | 17 | 8 | 50.0% | 2.9% | 94.7% | 97.7 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 37 | 15 | 4 | 18 | 0 | 37 | 10 | 6 | 19 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 21 | 12 | 20 | 9 | 18 | 8 | 0.0% | 5.4% | 91.9% | 97.3 | DULL | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 3 | 2 | 1 | 0 | 31 | 18 | 11 | 2 | 0 | 64 | 23 | 66 | 46 | 6 | 2 | 33.33% | 8 | 2 | 75.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 38 | 18 | 40 | 18 | 40 | 20 | 44.4% | 19.4% | 89.1% | 108.4 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 38 | 11 | 15 | 12 | 0 | 26 | 9 | 6 | 33 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 23 | 14 | 19 | 8 | 17 | 8 | 100.0% | 7.9% | 96.2% | 104.0 | DULL | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 73 | 17 | 28 | 28 | 0 | 63 | 21 | 26 | 35 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 44 | 27 | 41 | 18 | 34 | 16 | 30.8% | 5.5% | 84.1% | 89.6 | Unlucky | |
7 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 0 | 3 | 0 | 37 | 12 | 9 | 16 | 0 | 30 | 13 | 4 | 24 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 25 | 16 | 19 | 8 | 17 | 9 | 33.3% | 13.5% | 80.0% | 93.5 | FUN | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 29 | 17 | 3 | 9 | 0 | 27 | 9 | 10 | 21 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 21 | 12 | 20 | 8 | 17 | 9 | 66.7% | 6.9% | 88.9% | 95.8 | Unlucky | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 55 | 13 | 24 | 18 | 0 | 74 | 21 | 12 | 28 | 6 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 37 | 20 | 47 | 18 | 35 | 17 | 33.3% | 5.5% | 89.2% | 94.6 | Unlucky | |
10 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 1 | 41 | 11 | 12 | 18 | 3 | 31 | 4 | 11 | 28 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 22 | 12 | 21 | 10 | 20 | 10 | 66.7% | 4.9% | 96.8% | 101.7 | DULL | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 28 | 8 | 11 | 9 | 3 | 32 | 15 | 6 | 18 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 24 | 14 | 20 | 10 | 19 | 10 | 42.9% | 10.7% | 87.5% | 98.2 | FUN | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 1 | 0 | 59 | 17 | 26 | 16 | 0 | 67 | 28 | 23 | 41 | 6 | 1 | 16.67% | 4 | 3 | 25.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 40 | 20 | 42 | 17 | 37 | 20 | 40.0% | 8.5% | 86.6% | 95.0 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 8 | 7 | 15 | 0 | 42 | 6 | 24 | 17 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 19 | 10 | 24 | 8 | 16 | 8 | 12.5% | 3.3% | 81.0% | 84.3 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 29 | 10 | 14 | 5 | 0 | 32 | 8 | 13 | 14 | 1 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 21 | 13 | 20 | 9 | 17 | 8 | 83.3% | 17.2% | 90.6% | 107.9 | FUN | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 26 | 9 | 11 | 6 | 0 | 30 | 10 | 0 | 14 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 21 | 11 | 19 | 8 | 19 | 11 | 0.0% | 3.8% | 90.0% | 93.8 | Unlucky | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 28 | 9 | 14 | 5 | 0 | 30 | 8 | 0 | 20 | 5 | 2 | 40.00% | 0 | 0 | 0.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 20 | 11 | 20 | 8 | 18 | 10 | 0.0% | 7.1% | 90.0% | 97.1 | Unlucky | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 41 | 10 | 16 | 15 | 0 | 37 | 16 | 13 | 27 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 19 | 11 | 22 | 8 | 17 | 8 | 66.7% | 9.8% | 94.6% | 104.4 | LUCKY | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 3 | 0 | 3 | 0 | 62 | 26 | 20 | 16 | 0 | 52 | 24 | 19 | 41 | 6 | 1 | 16.67% | 7 | 0 | 100.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 45 | 25 | 37 | 19 | 36 | 18 | 71.4% | 9.7% | 96.2% | 105.8 | LUCKY | |
_Vs Division | 6 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 17 | 20 | -3 | 7 | 0.583 | 17 | 28 | 45 | 0 | 1 | 9 | 1 | 7 | 0 | 178 | 69 | 55 | 54 | 3 | 185 | 62 | 72 | 111 | 14 | 1 | 7.14% | 21 | 5 | 76.19% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 133 | 76 | 123 | 56 | 108 | 54 | 51.6% | 9.6% | 89.2% | 98.7 | FUN | |
_Vs Conference | 13 | 5 | 7 | 0 | 0 | 0 | 0 | 1 | 33 | 44 | -11 | 11 | 0.423 | 33 | 53 | 86 | 0 | 1 | 12 | 6 | 15 | 0 | 422 | 135 | 142 | 145 | 3 | 422 | 139 | 135 | 253 | 33 | 4 | 12.12% | 40 | 10 | 75.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 278 | 161 | 275 | 120 | 230 | 114 | 46.0% | 7.8% | 89.6% | 97.4 | Unlucky | |
_Since Last GM Reset | 24 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 63 | 80 | -17 | 21 | 0.438 | 63 | 101 | 164 | 0 | 1 | 22 | 15 | 25 | 1 | 755 | 239 | 256 | 257 | 12 | 773 | 258 | 268 | 483 | 68 | 13 | 19.12% | 64 | 16 | 75.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 515 | 293 | 503 | 219 | 438 | 222 | 43.9% | 8.3% | 89.7% | 98.0 | Unlucky | |
Total | 24 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 63 | 80 | -17 | 21 | 0.438 | 63 | 101 | 164 | 0 | 1 | 22 | 15 | 25 | 1 | 755 | 239 | 256 | 257 | 12 | 773 | 258 | 268 | 483 | 68 | 13 | 19.12% | 64 | 16 | 75.00% | 0 | 271 | 523 | 51.82% | 278 | 499 | 55.71% | 195 | 338 | 57.69% | 515 | 293 | 503 | 219 | 438 | 222 | 43.9% | 8.3% | 89.7% | 98.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 18 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 523 |
Neutral Zone Start | 338 |
Defensive Zone Start | 499 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 744 |
Faceoffs Lost | 616 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.0 | 9.57 |
2nd Period | 20.6 | 20.31 |
3rd Period | 31.3 | 30.68 |
Overtime | 31.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.6 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 13 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 2 |
Lost | 5 | 7 |
Overtime Lost | 2 | 1 |
PP Attempt | 68 |
---|---|
PP Goal | 13 |
PK Attempt | 64 |
PK Goal Against | 16 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 32.2 |
Goals For | 2.6 |
Goals Against | 3.3 |
Hits | 20.1 |
Shots Blocked | 10.8 |
Pim | 11.2 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-10 | @ | Ducks5,Golden Knights2 | RECAP | ||
2023-10-11 | @ | Hurricanes1,Ducks2 (SO) | RECAP | ||
2023-10-15 | @ | Stars3,Ducks2 | RECAP | ||
2023-10-17 | @ | Ducks1,Coyotes4 | RECAP | ||
2023-10-18 | @ | Bruins1,Ducks5 | RECAP | ||
2023-10-20 | @ | Ducks1,Blue Jackets3 | RECAP | ||
2023-10-22 | @ | Ducks3,Bruins4 (SO) | RECAP | ||
2023-10-24 | @ | Ducks0,Flyers6 | RECAP | ||
2023-10-26 | @ | Ducks1,Penguins5 | RECAP | ||
2023-10-28 | @ | Coyotes4,Ducks2 | RECAP | ||
2023-11-01 | @ | Golden Knights0,Ducks1 | RECAP | ||
2023-11-03 | @ | Penguins2,Ducks5 | RECAP | ||
2023-11-06 | @ | Flyers3,Ducks5 | RECAP | ||
2023-11-08 | @ | Sharks3,Ducks5 | RECAP | ||
2023-11-10 | @ | Ducks3,Predators1 | RECAP | ||
2023-11-11 | @ | Ducks1,Avalanche4 | RECAP | ||
2023-11-13 | @ | Panthers3,Ducks2 | RECAP | ||
2023-11-15 | @ | Blues2,Ducks4 | RECAP | ||
2023-11-18 | @ | Canadiens2,Ducks1 | RECAP | ||
2023-11-20 | @ | Kings4,Ducks3 (SO) | RECAP | ||
2023-11-22 | @ | Ducks1,Oilers8 | RECAP | ||
2023-11-24 | @ | Ducks2,Canucks3 | RECAP | ||
2023-11-26 | @ | Capitals6,Ducks5 (OT) | RECAP | ||
2023-11-28 | @ | Avalanche6,Ducks3 | RECAP | ||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
78,773,333$ | 0$ | 78,773,333$ | 3,726,667$ |
Arena | Goal Horn | About us | |
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![]() | 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$ | 20$ | 200$ |
Attendance | 79231 | 65711 | 26595 | 53675 | 13399 |
Attendance PCT | 94.32% | 93.87% | 94.98% | 95.85% | 95.71% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 17044 - 94.69% | 602,889$ | 8,440,439$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
78,773,333$ | 78,773,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
23,287,310$ | 78,773,333$ | 23,287,310$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
16,277,990$ | 136 | 410,278$ | 55,797,808$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
58,216,928$ | 78,773,333$ | -507,482,291$ | -549,421,229$ |
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 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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1 ballo ana 2024 | |||||
1 ballo isl 2024 | |||||
Adam Gajan | 2023 | 36 | |||
Adam Wilsby | 2020 | 110 | |||
Benjamin Roger | 2021 | 68 | |||
Calle Odelius | 2022 | 66 | |||
Cole Brady | 2019 | 108 | |||
Danick Martel | Link | ||||
David Spacek | 2022 | 135 | |||
Dmitrij Jaskin | Link | ||||
Fabian Wagner | 2022 | 161 | |||
Filip Westerlund | 2017 | 52 | |||
Frederik Gauthier | Link | ||||
Gage Quinney | Link | ||||
Ivan Zhigalov | 2022 | 193 | |||
Jakub Konecny | 2020 | 216 | |||
Jakub Vondras | 2022 | 175 | |||
Juha Jatkola | 2023 | 96 | |||
Justin Robidas | 2021 | 102 | |||
Kevin Riedler | 2022 | 140 | |||
Kristian Kostadinski | 2023 | 224 | |||
Manix Landry | 2021 | 133 | |||
Marc-Andre Gaudet | 2022 | 150 | |||
Martin Has | 2019 | 157 | |||
Mason Beaupit | 2022 | 103 | |||
Mason Primeau | 2019 | 130 | |||
Matt Filipe | |||||
Matthew Maggio | 2022 | 129 | |||
Michael Buchinger | 2022 | 97 | |||
Mike Smith | Link | ||||
Nico Gross | |||||
Noah Warren | 2022 | 33 | |||
Prokhor Poltapov | 2021 | 46 | |||
Quentin Musty | 2023 | 18 | |||
Quinn Olson | 2019 | 84 | |||
Ruslan Ishkakov | |||||
Ryan Hofer | 2022 | 170 | |||
Sean Couturier | Link | ||||
Thomas Hickey | Link | ||||
Tomas Hamara | 2022 | 93 | |||
Tyson Kozak | 2021 | 192 | |||
Zdeno Chara | Link |
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