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Full Scoreboard »» |
Anaheim Ducks 13-8-1, 27pts · 4th 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 | LW/RW | 100.00 | 87 | 99 | 50 | 72 | 89 | 56 | 98 | 61 | 30 | 60 | 57 | 60 | 25 | 78 | 86 | 62 | 50 | 0 | 34 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW | 99.00 | 84 | 55 | 79 | 82 | 77 | 84 | 81 | 88 | 96 | 73 | 87 | 72 | 70 | 76 | 76 | 82 | 50 | 0 | 29 | 3,750,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 41 | 90 | 80 | 61 | 59 | 81 | 63 | 62 | 57 | 59 | 68 | 25 | 64 | 64 | 64 | 50 | 0 | 29 | 762,500$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 41 | 92 | 78 | 70 | 62 | 89 | 71 | 84 | 64 | 62 | 61 | 25 | 88 | 93 | 66 | 50 | 0 | 36 | 1,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 82 | 44 | 86 | 76 | 70 | 68 | 72 | 65 | 32 | 65 | 72 | 72 | 25 | 64 | 65 | 71 | 50 | 0 | 29 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 84 | 46 | 87 | 78 | 83 | 73 | 97 | 61 | 97 | 66 | 72 | 79 | 25 | 89 | 96 | 74 | 50 | 0 | 34 | 6,000,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 78 | 44 | 82 | 80 | 73 | 74 | 92 | 91 | 30 | 79 | 80 | 63 | 63 | 87 | 88 | 78 | 50 | 0 | 34 | 4,750,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 43 | 93 | 73 | 74 | 62 | 79 | 65 | 46 | 63 | 75 | 66 | 25 | 65 | 65 | 71 | 50 | 0 | 26 | 762,500$/2yrs | |||
![]() | 0 | LW/RW | 99.00 | 75 | 53 | 90 | 85 | 64 | 76 | 93 | 80 | 38 | 79 | 86 | 61 | 39 | 65 | 67 | 80 | 50 | 0 | 31 | 5,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 40 | 98 | 85 | 66 | 68 | 91 | 78 | 29 | 63 | 86 | 61 | 75 | 65 | 65 | 76 | 50 | 0 | 27 | 4,750,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 81 | 44 | 92 | 74 | 67 | 76 | 93 | 79 | 57 | 74 | 85 | 69 | 25 | 62 | 63 | 79 | 50 | 0 | 23 | 1,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 76 | 44 | 95 | 70 | 72 | 52 | 82 | 56 | 68 | 62 | 66 | 65 | 25 | 60 | 60 | 66 | 50 | 0 | 32 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 53 | 80 | 80 | 74 | 78 | 94 | 66 | 25 | 60 | 48 | 88 | 79 | 86 | 87 | 66 | 50 | 0 | 38 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 91 | 82 | 69 | 83 | 74 | 59 | 25 | 55 | 48 | 88 | 25 | 81 | 84 | 64 | 50 | 0 | 32 | 5,000,000$/2yrs | |||
![]() | 0 | D | 99.00 | 76 | 44 | 87 | 84 | 75 | 81 | 84 | 71 | 25 | 67 | 48 | 76 | 48 | 81 | 81 | 66 | 50 | 0 | 31 | 8,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 44 | 79 | 85 | 74 | 78 | 96 | 76 | 25 | 64 | 48 | 83 | 73 | 82 | 82 | 67 | 50 | 0 | 33 | 3,900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 45 | 84 | 78 | 79 | 66 | 70 | 58 | 25 | 51 | 48 | 80 | 51 | 87 | 88 | 62 | 50 | 0 | 36 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 87 | 86 | 66 | 81 | 96 | 81 | 25 | 67 | 60 | 75 | 45 | 70 | 70 | 71 | 50 | 0 | 29 | 4,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 79 | 70 | 81 | 87 | 70 | 48 | 50 | 59 | 66 | 64 | 71 | 75 | 42 | 62 | 63 | 54 | 50 | 0 | 26 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 69 | 79 | 62 | 69 | 74 | 78 | 62 | 78 | 60 | 56 | 67 | 53 | 60 | 60 | 62 | 50 | 0 | 31 | 762,500$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 60 | 79 | 62 | 60 | 77 | 80 | 65 | 50 | 62 | 64 | 61 | 61 | 45 | 45 | 65 | 50 | 0 | 27 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 43 | 85 | 78 | 70 | 65 | 58 | 59 | 25 | 51 | 48 | 76 | 25 | 64 | 64 | 61 | 50 | 0 | 27 | 2,650,000$/2yrs | |||
![]() | 0 | D | 100.00 | 70 | 72 | 64 | 72 | 72 | 51 | 52 | 54 | 25 | 47 | 39 | 68 | 37 | 77 | 81 | 53 | 50 | 0 | 34 | 750,000$/1yrs | |||
TEAM AVERAGE | 99.83 | 74 | 51 | 84 | 78 | 71 | 69 | 82 | 68 | 46 | 63 | 64 | 71 | 43 | 72 | 74 | 68 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 87 | 95 | 91 | 84 | 86 | 88 | 90 | 86 | 87 | 87 | 77 | 70 | 71 | 88 | 50 | 0 | 29 | 6,166,666$/2yrs |
![]() | 0 | 100.00 | 68 | 62 | 62 | 66 | 67 | 68 | 83 | 68 | 75 | 68 | 73 | 59 | 60 | 70 | 50 | 0 | 31 | 1,800,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 78 | 79 | 77 | 75 | 77 | 78 | 87 | 77 | 81 | 78 | 75 | 65 | 66 | 79 | 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | Patrick Lanctot |
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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 | Boone Jenner | 0 | C/LW | 22 | 13 | 11 | 24 | -4 | 14 | 0 | 41 | 82 | 19 | 53 | 15.85% | 11 | 20.92 | 4 | 1 | 5 | 48 | 0 | 0 | 0 | 22 | 4 | 1 | 60.39% | 616 | 8 | 11 | 0 | 0 | 1.04 | 1 | 2 | ||
2 | Victor Olofsson | 0 | LW/RW | 22 | 9 | 14 | 23 | 6 | 2 | 0 | 20 | 87 | 32 | 66 | 10.34% | 5 | 16.43 | 1 | 4 | 5 | 36 | 0 | 0 | 0 | 0 | 1 | 0 | 46.67% | 15 | 8 | 6 | 0 | 0 | 1.27 | 1 | 2 | ||
3 | David Perron | 0 | LW/RW | 22 | 9 | 12 | 21 | -7 | 21 | 5 | 37 | 84 | 30 | 43 | 10.71% | 9 | 19.42 | 0 | 4 | 4 | 47 | 0 | 0 | 0 | 0 | 1 | 0 | 37.04% | 27 | 21 | 10 | 0 | 0 | 0.98 | 0 | 0 | ||
4 | Owen Tippett | 0 | RW | 22 | 8 | 12 | 20 | -2 | 2 | 0 | 28 | 78 | 29 | 41 | 10.26% | 4 | 19.73 | 1 | 2 | 3 | 37 | 0 | 0 | 0 | 56 | 0 | 0 | 42.86% | 28 | 11 | 6 | 0 | 0 | 0.92 | 0 | 0 | ||
5 | Jordan Staal | 0 | C/LW | 22 | 4 | 14 | 18 | 7 | 14 | 0 | 34 | 24 | 8 | 9 | 16.67% | 10 | 19.09 | 0 | 3 | 3 | 36 | 0 | 0 | 0 | 51 | 0 | 0 | 58.88% | 428 | 7 | 11 | 1 | 0 | 0.86 | 0 | 0 | ||
6 | Jonathan Marchessault | 0 | LW/RW | 22 | 4 | 14 | 18 | 2 | 10 | 10 | 28 | 62 | 20 | 46 | 6.45% | 13 | 18.61 | 1 | 4 | 5 | 47 | 0 | 0 | 0 | 0 | 0 | 0 | 21.62% | 37 | 21 | 9 | 0 | 0 | 0.88 | 0 | 0 | ||
7 | Oliver Ekman-Larsson | 0 | D | 22 | 5 | 10 | 15 | 2 | 12 | 0 | 37 | 51 | 21 | 14 | 9.80% | 32 | 25.29 | 1 | 2 | 3 | 50 | 0 | 0 | 0 | 9 | 1 | 0 | 0.00% | 0 | 6 | 14 | 0 | 0 | 0.54 | 0 | 0 | ||
8 | Shayne Gostisbehere | 0 | D | 22 | 4 | 7 | 11 | 3 | 2 | 0 | 17 | 29 | 15 | 8 | 13.79% | 20 | 18.66 | 4 | 1 | 5 | 51 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 14 | 9 | 0 | 0 | 0.54 | 0 | 0 | ||
9 | Paul Stastny | 0 | C/LW | 22 | 4 | 6 | 10 | 3 | 0 | 0 | 10 | 51 | 11 | 27 | 7.84% | 3 | 11.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 0 | 57.69% | 104 | 8 | 3 | 0 | 0 | 0.76 | 0 | 0 | ||
10 | Phillip Di Giuseppe | 0 | LW | 22 | 2 | 5 | 7 | 3 | 14 | 0 | 30 | 41 | 15 | 19 | 4.88% | 8 | 12.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 1 | 66.67% | 3 | 11 | 4 | 0 | 0 | 0.50 | 0 | 0 | ||
11 | Patrick Maroon | 0 | LW/RW | 22 | 4 | 2 | 6 | 7 | 10 | 0 | 29 | 19 | 3 | 9 | 21.05% | 0 | 9.12 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 21 | 2 | 0 | 0.00% | 2 | 7 | 4 | 0 | 0 | 0.60 | 0 | 0 | ||
12 | Austin Czarnik | 0 | C/RW | 22 | 2 | 4 | 6 | 8 | 4 | 0 | 9 | 31 | 14 | 18 | 6.45% | 1 | 8.28 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 9 | 0 | 0 | 62.50% | 8 | 7 | 3 | 0 | 0 | 0.66 | 0 | 0 | ||
13 | Michael Amadio | 0 | C/LW/RW | 22 | 4 | 2 | 6 | 2 | 4 | 0 | 26 | 41 | 7 | 24 | 9.76% | 7 | 11.61 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 36.36% | 11 | 10 | 3 | 0 | 0 | 0.47 | 0 | 0 | ||
14 | TJ Brodie | 0 | D | 22 | 0 | 5 | 5 | 0 | 25 | 5 | 23 | 39 | 11 | 16 | 0.00% | 36 | 24.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 0 | 0 | 0.00% | 0 | 9 | 22 | 0 | 0 | 0.19 | 0 | 0 | ||
15 | Zac Dalpe | 0 | C | 22 | 1 | 4 | 5 | 7 | 0 | 0 | 15 | 22 | 7 | 14 | 4.55% | 4 | 8.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 44.26% | 61 | 5 | 1 | 0 | 0 | 0.55 | 0 | 0 | ||
16 | Mark Giordano | 0 | D | 22 | 0 | 4 | 4 | 9 | 6 | 0 | 34 | 24 | 11 | 8 | 0.00% | 22 | 19.46 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 44 | 0 | 0 | 0.00% | 0 | 0 | 13 | 0 | 0 | 0.19 | 0 | 0 | ||
17 | Kevin Shattenkirk | 0 | D | 22 | 1 | 2 | 3 | 5 | 8 | 0 | 25 | 17 | 5 | 7 | 5.88% | 24 | 16.80 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 57 | 0 | 0 | 0.00% | 0 | 1 | 12 | 0 | 0 | 0.16 | 0 | 0 | ||
18 | Alexander Edler | 0 | D | 22 | 1 | 2 | 3 | 2 | 2 | 0 | 15 | 10 | 6 | 6 | 10.00% | 13 | 15.71 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 38 | 0 | 0 | 0.00% | 0 | 0 | 12 | 0 | 0 | 0.17 | 0 | 0 | ||
Team Total or Average | 396 | 75 | 130 | 205 | 53 | 150 | 20 | 458 | 792 | 264 | 428 | 9.47% | 222 | 16.48 | 12 | 21 | 33 | 435 | 0 | 0 | 0 | 422 | 12 | 2 | 56.64% | 1340 | 154 | 153 | 1 | 0 | 0.63 | 2 | 4 |
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 | Connor Hellebuyck | 17 | 9 | 7 | 1 | 0.917 | 2.71 | 975 | 0 | 0 | 44 | 532 | 239 | 0 | 0 | 0.500 | 4 | 17 | 5 | 2 | 0 | 2 | |
2 | Casey DeSmith | 7 | 4 | 1 | 0 | 0.905 | 2.72 | 353 | 0 | 0 | 16 | 169 | 97 | 0 | 0 | 0.000 | 0 | 5 | 17 | 1 | 0 | 0 | |
Team Total or Average | 24 | 13 | 8 | 1 | 0.914 | 2.71 | 1328 | 0 | 0 | 60 | 701 | 336 | 0 | 0 | 0.500 | 4 | 22 | 22 | 3 | 0 | 2 |
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 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 2 | 2 | 6 | 0 | 74 | 31 | 15 | 28 | 0 | 56 | 17 | 12 | 33 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 40 | 23 | 43 | 18 | 35 | 17 | 64.3% | 13.5% | 91.1% | 104.6 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 33 | 18 | 8 | 7 | 0 | 35 | 8 | 4 | 21 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 19 | 11 | 22 | 8 | 17 | 9 | 33.3% | 3.0% | 94.3% | 97.3 | DULL | |
3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 9 | -4 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 3 | 0 | 70 | 21 | 18 | 30 | 3 | 71 | 22 | 12 | 53 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 43 | 25 | 45 | 18 | 36 | 17 | 36.4% | 7.1% | 87.3% | 94.5 | Unlucky | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 62 | 21 | 19 | 22 | 0 | 65 | 22 | 13 | 39 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 41 | 24 | 43 | 16 | 34 | 16 | 16.7% | 3.2% | 92.3% | 95.5 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 40 | 14 | 14 | 12 | 0 | 35 | 17 | 8 | 19 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 22 | 13 | 20 | 8 | 17 | 9 | 83.3% | 12.5% | 97.1% | 109.6 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 32 | 6 | 13 | 13 | 0 | 44 | 13 | 4 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 22 | 13 | 21 | 8 | 16 | 8 | 60.0% | 9.4% | 95.5% | 104.8 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 2 | 0 | 38 | 11 | 13 | 14 | 0 | 30 | 11 | 4 | 23 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 23 | 13 | 19 | 8 | 16 | 9 | 75.0% | 13.2% | 93.3% | 106.5 | LUCKY | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 33 | 17 | 3 | 13 | 0 | 32 | 12 | 8 | 27 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 19 | 11 | 23 | 9 | 17 | 7 | 33.3% | 9.1% | 84.4% | 93.5 | FUN | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 79 | 24 | 32 | 23 | 0 | 67 | 16 | 10 | 29 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 42 | 25 | 42 | 18 | 34 | 17 | 45.5% | 7.6% | 89.6% | 97.1 | Unlucky | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 38 | 17 | 9 | 12 | 0 | 29 | 12 | 12 | 24 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 5.3% | 82.8% | 88.0 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 2 | 5 | 0 | 0 | 30 | 19 | 9 | 2 | 0 | 34 | 9 | 23 | 27 | 2 | 2 | 100.00% | 4 | 1 | 75.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 19 | 11 | 21 | 10 | 18 | 8 | 100.0% | 23.3% | 97.1% | 120.4 | LUCKY | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 32 | 10 | 13 | 9 | 0 | 29 | 9 | 7 | 27 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 21 | 11 | 20 | 9 | 18 | 9 | 80.0% | 12.5% | 96.6% | 109.1 | LUCKY | |
13 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 2 | 35 | 14 | 15 | 6 | 2 | 28 | 8 | 10 | 13 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 22 | 13 | 22 | 9 | 19 | 10 | 75.0% | 8.6% | 92.9% | 101.4 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 34 | 11 | 16 | 7 | 0 | 21 | 7 | 4 | 32 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 21 | 11 | 19 | 10 | 18 | 9 | 75.0% | 8.8% | 95.2% | 104.1 | DULL | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 3 | 2 | 0 | 35 | 12 | 16 | 7 | 0 | 25 | 10 | 0 | 16 | 6 | 3 | 50.00% | 0 | 0 | 0.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 20 | 11 | 20 | 9 | 19 | 10 | 44.4% | 20.0% | 80.0% | 100.0 | FUN | |
16 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 40 | 11 | 10 | 18 | 1 | 26 | 6 | 4 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 23 | 14 | 19 | 8 | 17 | 8 | 60.0% | 7.5% | 92.3% | 99.8 | DULL | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 1 | 5 | 0 | 87 | 28 | 26 | 33 | 0 | 74 | 23 | 15 | 39 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 41 | 23 | 44 | 17 | 33 | 16 | 53.8% | 8.0% | 91.9% | 99.9 | DULL | |
_Vs Division | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 10 | 0.833 | 30 | 50 | 80 | 0 | 0 | 7 | 13 | 10 | 0 | 222 | 80 | 77 | 65 | 0 | 192 | 62 | 49 | 132 | 17 | 7 | 41.18% | 12 | 2 | 83.33% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 125 | 70 | 127 | 54 | 106 | 54 | 63.9% | 13.5% | 92.2% | 105.7 | LUCKY | |
_Vs Conference | 12 | 7 | 4 | 0 | 0 | 0 | 0 | 1 | 48 | 37 | 11 | 15 | 0.625 | 48 | 81 | 129 | 0 | 0 | 11 | 18 | 19 | 0 | 435 | 155 | 134 | 145 | 3 | 403 | 138 | 93 | 273 | 24 | 9 | 37.50% | 34 | 6 | 82.35% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 253 | 145 | 259 | 108 | 212 | 106 | 55.7% | 11.0% | 90.8% | 101.9 | FUN | |
_Since Last GM Reset | 22 | 11 | 8 | 0 | 1 | 0 | 1 | 1 | 76 | 61 | 15 | 27 | 0.614 | 76 | 130 | 206 | 0 | 0 | 15 | 27 | 32 | 3 | 792 | 285 | 249 | 256 | 6 | 701 | 222 | 150 | 458 | 52 | 12 | 23.08% | 60 | 8 | 86.67% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 467 | 270 | 472 | 199 | 390 | 194 | 54.7% | 9.6% | 91.3% | 100.9 | LUCKY | |
Total | 22 | 11 | 8 | 0 | 1 | 0 | 1 | 1 | 76 | 61 | 15 | 27 | 0.614 | 76 | 130 | 206 | 0 | 0 | 15 | 27 | 32 | 3 | 792 | 285 | 249 | 256 | 6 | 701 | 222 | 150 | 458 | 52 | 12 | 23.08% | 60 | 8 | 86.67% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 467 | 270 | 472 | 199 | 390 | 194 | 54.7% | 9.6% | 91.3% | 100.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 502 |
Neutral Zone Start | 335 |
Defensive Zone Start | 499 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 759 |
Faceoffs Lost | 577 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.0 | 9.57 |
2nd Period | 24.3 | 20.31 |
3rd Period | 35.9 | 30.68 |
Overtime | 36.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 64 |
---|---|
PP Goal | 12 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 8 | 5 |
Lost | 4 | 4 |
Overtime Lost | 0 | 1 |
PP Attempt | 52 |
---|---|
PP Goal | 12 |
PK Attempt | 60 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 36.0 |
Shots Against | 31.9 |
Goals For | 3.5 |
Goals Against | 2.8 |
Hits | 20.8 |
Shots Blocked | 10.1 |
Pim | 6.8 |
Projected Total Cap Hit | 68,866,666$ |
Projected Cap Space | 13,633,334$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 17,934,050$ |
Players In Salary Cap | 25 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Edler ![]() | D | 36 | 750,000$ | 750,000$ | |||||||
Austin Czarnik ![]() | C/RW | 29 | 762,500$ | 762,500$ | 762,500$ | ||||||
Boone Jenner ![]() | C/LW | 29 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | ||||
Byron Froese ![]() | C | 31 | 762,500$ | 762,500$ | 762,500$ | ||||||
Casey DeSmith ![]() | G | 31 | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||||
Connor Hellebuyck ![]() | G | 29 | 6,166,666$ | 6,166,666$ | 6,166,666$ | ||||||
David Perron ![]() | LW/RW | 34 | 4,750,000$ | 4,750,000$ | 4,750,000$ | ||||||
Jason Demers ![]() | D | 34 | 750,000$ | 750,000$ | |||||||
Jonathan Marchessault ![]() | LW/RW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Jordan Staal ![]() | C/LW | 34 | 6,000,000$ | 6,000,000$ | |||||||
Kevin Shattenkirk ![]() | D | 33 | 3,900,000$ | 3,900,000$ | |||||||
Mark Giordano ![]() | D | 38 | 800,000$ | 800,000$ | 800,000$ | ||||||
Michael Amadio ![]() | C/LW/RW | 26 | 762,500$ | 762,500$ | 762,500$ | ||||||
Oliver Ekman-Larsson ![]() | D | 31 | 8,250,000$ | 8,250,000$ | 8,250,000$ | ||||||
Ondrej Kase ![]() | RW | 26 | 1,500,000$ | 1,500,000$ | |||||||
Owen Tippett ![]() | RW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Patrick Maroon ![]() | LW/RW | 34 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Paul Stastny ![]() | C/LW | 36 | 1,500,000$ | 1,500,000$ | |||||||
Phillip Di Giuseppe ![]() | LW | 29 | 750,000$ | 750,000$ | |||||||
Sean Walker ![]() | D | 27 | 2,650,000$ | 2,650,000$ | 2,650,000$ | ||||||
Shayne Gostisbehere ![]() | D | 29 | 4,500,000$ | 4,500,000$ | |||||||
Sheldon Rempal ![]() | LW/RW | 27 | 762,500$ | 762,500$ | 762,500$ | ||||||
TJ Brodie ![]() | D | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Victor Olofsson ![]() | LW/RW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | ||||||
Zac Dalpe ![]() | C | 32 | 750,000$ | 750,000$ |
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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 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 2 | 2 | 6 | 0 | 74 | 31 | 15 | 28 | 0 | 56 | 17 | 12 | 33 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 40 | 23 | 43 | 18 | 35 | 17 | 64.3% | 13.5% | 91.1% | 104.6 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 33 | 18 | 8 | 7 | 0 | 35 | 8 | 4 | 21 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 19 | 11 | 22 | 8 | 17 | 9 | 33.3% | 3.0% | 94.3% | 97.3 | DULL | |
3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 9 | -4 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 3 | 0 | 70 | 21 | 18 | 30 | 3 | 71 | 22 | 12 | 53 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 43 | 25 | 45 | 18 | 36 | 17 | 36.4% | 7.1% | 87.3% | 94.5 | Unlucky | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 62 | 21 | 19 | 22 | 0 | 65 | 22 | 13 | 39 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 41 | 24 | 43 | 16 | 34 | 16 | 16.7% | 3.2% | 92.3% | 95.5 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 40 | 14 | 14 | 12 | 0 | 35 | 17 | 8 | 19 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 22 | 13 | 20 | 8 | 17 | 9 | 83.3% | 12.5% | 97.1% | 109.6 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 32 | 6 | 13 | 13 | 0 | 44 | 13 | 4 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 22 | 13 | 21 | 8 | 16 | 8 | 60.0% | 9.4% | 95.5% | 104.8 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 0 | 3 | 2 | 0 | 38 | 11 | 13 | 14 | 0 | 30 | 11 | 4 | 23 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 23 | 13 | 19 | 8 | 16 | 9 | 75.0% | 13.2% | 93.3% | 106.5 | LUCKY | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 33 | 17 | 3 | 13 | 0 | 32 | 12 | 8 | 27 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 19 | 11 | 23 | 9 | 17 | 7 | 33.3% | 9.1% | 84.4% | 93.5 | FUN | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 2 | 0 | 79 | 24 | 32 | 23 | 0 | 67 | 16 | 10 | 29 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 42 | 25 | 42 | 18 | 34 | 17 | 45.5% | 7.6% | 89.6% | 97.1 | Unlucky | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 38 | 17 | 9 | 12 | 0 | 29 | 12 | 12 | 24 | 0 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 20 | 11 | 21 | 8 | 17 | 8 | 33.3% | 5.3% | 82.8% | 88.0 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 2 | 5 | 0 | 0 | 30 | 19 | 9 | 2 | 0 | 34 | 9 | 23 | 27 | 2 | 2 | 100.00% | 4 | 1 | 75.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 19 | 11 | 21 | 10 | 18 | 8 | 100.0% | 23.3% | 97.1% | 120.4 | LUCKY | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 32 | 10 | 13 | 9 | 0 | 29 | 9 | 7 | 27 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 21 | 11 | 20 | 9 | 18 | 9 | 80.0% | 12.5% | 96.6% | 109.1 | LUCKY | |
13 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 0 | 2 | 35 | 14 | 15 | 6 | 2 | 28 | 8 | 10 | 13 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 22 | 13 | 22 | 9 | 19 | 10 | 75.0% | 8.6% | 92.9% | 101.4 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 34 | 11 | 16 | 7 | 0 | 21 | 7 | 4 | 32 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 21 | 11 | 19 | 10 | 18 | 9 | 75.0% | 8.8% | 95.2% | 104.1 | DULL | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 3 | 2 | 0 | 35 | 12 | 16 | 7 | 0 | 25 | 10 | 0 | 16 | 6 | 3 | 50.00% | 0 | 0 | 0.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 20 | 11 | 20 | 9 | 19 | 10 | 44.4% | 20.0% | 80.0% | 100.0 | FUN | |
16 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 1 | 1 | 40 | 11 | 10 | 18 | 1 | 26 | 6 | 4 | 18 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 23 | 14 | 19 | 8 | 17 | 8 | 60.0% | 7.5% | 92.3% | 99.8 | DULL | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 1 | 1 | 5 | 0 | 87 | 28 | 26 | 33 | 0 | 74 | 23 | 15 | 39 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 41 | 23 | 44 | 17 | 33 | 16 | 53.8% | 8.0% | 91.9% | 99.9 | DULL | |
_Vs Division | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 30 | 15 | 15 | 10 | 0.833 | 30 | 50 | 80 | 0 | 0 | 7 | 13 | 10 | 0 | 222 | 80 | 77 | 65 | 0 | 192 | 62 | 49 | 132 | 17 | 7 | 41.18% | 12 | 2 | 83.33% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 125 | 70 | 127 | 54 | 106 | 54 | 63.9% | 13.5% | 92.2% | 105.7 | LUCKY | |
_Vs Conference | 12 | 7 | 4 | 0 | 0 | 0 | 0 | 1 | 48 | 37 | 11 | 15 | 0.625 | 48 | 81 | 129 | 0 | 0 | 11 | 18 | 19 | 0 | 435 | 155 | 134 | 145 | 3 | 403 | 138 | 93 | 273 | 24 | 9 | 37.50% | 34 | 6 | 82.35% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 253 | 145 | 259 | 108 | 212 | 106 | 55.7% | 11.0% | 90.8% | 101.9 | FUN | |
_Since Last GM Reset | 22 | 11 | 8 | 0 | 1 | 0 | 1 | 1 | 76 | 61 | 15 | 27 | 0.614 | 76 | 130 | 206 | 0 | 0 | 15 | 27 | 32 | 3 | 792 | 285 | 249 | 256 | 6 | 701 | 222 | 150 | 458 | 52 | 12 | 23.08% | 60 | 8 | 86.67% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 467 | 270 | 472 | 199 | 390 | 194 | 54.7% | 9.6% | 91.3% | 100.9 | LUCKY | |
Total | 22 | 11 | 8 | 0 | 1 | 0 | 1 | 1 | 76 | 61 | 15 | 27 | 0.614 | 76 | 130 | 206 | 0 | 0 | 15 | 27 | 32 | 3 | 792 | 285 | 249 | 256 | 6 | 701 | 222 | 150 | 458 | 52 | 12 | 23.08% | 60 | 8 | 86.67% | 0 | 281 | 502 | 55.98% | 288 | 499 | 57.72% | 190 | 335 | 56.72% | 467 | 270 | 472 | 199 | 390 | 194 | 54.7% | 9.6% | 91.3% | 100.9 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 502 |
Neutral Zone Start | 335 |
Defensive Zone Start | 499 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 759 |
Faceoffs Lost | 577 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.0 | 9.57 |
2nd Period | 24.3 | 20.31 |
3rd Period | 35.9 | 30.68 |
Overtime | 36.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 64 |
---|---|
PP Goal | 12 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 8 | 5 |
Lost | 4 | 4 |
Overtime Lost | 0 | 1 |
PP Attempt | 52 |
---|---|
PP Goal | 12 |
PK Attempt | 60 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 36.0 |
Shots Against | 31.9 |
Goals For | 3.5 |
Goals Against | 2.8 |
Hits | 20.8 |
Shots Blocked | 10.1 |
Pim | 6.8 |
Date | Matchup | Result | Detail | ||
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2023-10-10 | @ | Ducks4,Golden Knights5 | RECAP | ||
2023-10-11 | @ | Hurricanes2,Ducks3 (OT) | RECAP | ||
2023-10-15 | @ | Stars5,Ducks3 | RECAP | ||
2023-10-17 | @ | Ducks2,Coyotes3 (SO) | RECAP | ||
2023-10-18 | @ | Bruins3,Ducks4 | RECAP | ||
2023-10-20 | @ | Ducks3,Blue Jackets2 (SO) | RECAP | ||
2023-10-22 | @ | Ducks6,Bruins2 | RECAP | ||
2023-10-24 | @ | Ducks1,Flyers2 | RECAP | ||
2023-10-26 | @ | Ducks1,Penguins6 | RECAP | ||
2023-10-28 | @ | Coyotes6,Ducks3 | RECAP | ||
2023-11-01 | @ | Golden Knights1,Ducks3 | RECAP | ||
2023-11-03 | @ | Penguins1,Ducks5 | RECAP | ||
2023-11-06 | @ | Flyers3,Ducks1 | RECAP | ||
2023-11-08 | @ | Sharks1,Ducks4 | RECAP | ||
2023-11-10 | @ | Ducks2,Predators5 | RECAP | ||
2023-11-11 | @ | Ducks3,Avalanche2 | RECAP | ||
2023-11-13 | @ | Panthers1,Ducks3 | RECAP | ||
2023-11-15 | @ | Blues1,Ducks5 | RECAP | ||
2023-11-18 | @ | Canadiens2,Ducks1 | RECAP | ||
2023-11-20 | @ | Kings5,Ducks7 | RECAP | ||
2023-11-22 | @ | Ducks7,Oilers1 | RECAP | ||
2023-11-24 | @ | Ducks5,Canucks2 | RECAP | ||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
68,866,666$ | 0$ | 68,866,666$ | 13,633,334$ |
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$ | 25$ | 200$ |
Attendance | 67192 | 56451 | 22351 | 45685 | 11469 |
Attendance PCT | 93.32% | 94.09% | 93.13% | 95.18% | 95.58% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 16929 - 94.05% | 608,790$ | 7,305,481$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
68,866,666$ | 68,866,666$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
17,934,050$ | 68,866,666$ | 17,934,050$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
17,654,912$ | 142 | 358,681$ | 50,932,702$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
50,932,702$ | 68,866,666$ | -462,948,215$ | -496,226,005$ |
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 | |||||||
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2028 |
Priority | Type | Description |
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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 2023 | |||||
Adam Engstrom | 2022 | 111 | |||
Adam Musil | |||||
Andrej Sustr | Link | ||||
Barret Hall | 2022 | 175 | |||
Brady Gilmour | |||||
Brandon Crawley | |||||
Brandon Hickey | |||||
Brendan De Jong | |||||
Carter Rowney | Link | ||||
Daniil Misyul | 2019 | 88 | |||
Daniil Sobolev | 2021 | 149 | |||
Eamon Powell | 2020 | 122 | |||
Ethan Del Mastro | 2021 | 117 | |||
Ethan Gauthier | 2023 | 29 | |||
Ethan Samson | 2021 | 181 | |||
Gage Goncalves | 2020 | 60 | |||
Gilles Senn | |||||
Harrison Blaisdell | 2019 | 150 | |||
Jackson Blake | 2021 | 85 | |||
Jacob Ingham | 2018 | 170 | |||
Jake Pivonka | 2018 | 108 | |||
James Fisher | 2022 | 207 | |||
Jeremy Bracco | |||||
Jeremy Langlois | 2022 | 79 | |||
Josiah Slavin | 2018 | 201 | Link | ||
Kalem Parker | 2023 | 189 | |||
Kevin Bicker | 2023 | 157 | |||
Leo Komarov | Link | ||||
Liam Dunda | |||||
Lukas Svejkovsky | 2020 | 117 | |||
Maros Jedlicka | 2023 | 221 | |||
Mason Langenbrunner | 2020 | 153 | |||
Matthew Cairns | 2016 | 97 | |||
Maxim Marushev | 2020 | 215 | |||
Maximilian Kilpinen | 2022 | 143 | |||
Nathan Clurman | 2016 | 179 | |||
Nikita Guslistov | 2021 | 213 | |||
Nikita Nesterenko | 2019 | 181 | |||
Nikolai Kovalenko | 2018 | 139 | |||
Olivier Leblanc | |||||
Paul Byron | Link | ||||
Redmond Savage | 2021 | 92 | |||
Reilly Webb | |||||
Riley Duran | 2020 | 184 | |||
Robbie Russo | |||||
Ryder Rolston | 2020 | 91 | |||
Sean Behrens | 2021 | 53 | |||
Skyler Brindamour | |||||
Turner Elson | Link | ||||
Vadim Zherenko | 2019 | 212 | |||
Valentin Zykov | |||||
Yegor Spiridonov | 2019 | 119 | |||
josh wesley |
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