|
|
|
|
|
|
|
Full Scoreboard »» |
Anaheim Ducks 38-24-5, 81pts · 5th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 97 | C | 99.00 | 71 | 33 | 85 | 95 | 76 | 92 | 90 | 93 | 84 | 99 | 91 | 71 | 92 | 73 | 88 | 0 | 72 | 99 | 28 | 12,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 67 | 32 | 89 | 77 | 74 | 87 | 87 | 75 | 62 | 75 | 81 | 73 | 78 | 81 | 80 | 0 | 36 | 86 | 32 | 5,125,000$/4yrs | |||
![]() | 9 | C/LW/RW | 100.00 | 56 | 33 | 82 | 82 | 68 | 89 | 90 | 79 | 60 | 80 | 82 | 61 | 81 | 69 | 67 | 0 | 73 | 86 | 26 | 7,000,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 62 | 32 | 92 | 80 | 74 | 86 | 90 | 76 | 82 | 79 | 77 | 70 | 77 | 62 | 61 | 0 | 72 | 85 | 21 | 894,167$/5yrs | |||
![]() | 0 | C | 100.00 | 64 | 32 | 86 | 78 | 68 | 85 | 90 | 74 | 82 | 76 | 77 | 57 | 76 | 64 | 63 | 0 | 72 | 83 | 23 | 863,333$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 37 | 67 | 75 | 74 | 81 | 88 | 71 | 60 | 76 | 76 | 56 | 74 | 81 | 78 | 0 | 72 | 83 | 33 | 3,875,000$/1yrs | |||
![]() | 74 | LW/RW | 100.00 | 77 | 33 | 87 | 71 | 76 | 84 | 90 | 70 | 57 | 66 | 82 | 61 | 76 | 72 | 71 | 0 | 72 | 82 | 28 | 4,750,000$/3yrs | |||
![]() | 86 | C/LW/RW | 100.00 | 55 | 32 | 95 | 74 | 73 | 83 | 89 | 71 | 61 | 71 | 76 | 71 | 73 | 76 | 75 | 0 | 72 | 82 | 30 | 6,000,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 77 | 39 | 68 | 65 | 73 | 83 | 82 | 70 | 61 | 67 | 73 | 71 | 71 | 89 | 95 | 0 | 62 | 81 | 38 | 5,750,000$/1yrs | |||
![]() | 8 | C/LW | 100.00 | 92 | 49 | 68 | 67 | 83 | 79 | 85 | 68 | 61 | 65 | 73 | 79 | 71 | 73 | 70 | 0 | 72 | 80 | 28 | 3,250,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 63 | 36 | 82 | 71 | 63 | 86 | 90 | 69 | 59 | 70 | 72 | 64 | 71 | 74 | 72 | 0 | 60 | 79 | 29 | 4,950,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 77 | 33 | 87 | 63 | 79 | 82 | 90 | 64 | 86 | 65 | 66 | 80 | 65 | 77 | 76 | 0 | 72 | 78 | 31 | 2,857,143$/2yrs | |||
![]() | 19 | D | 98.00 | 62 | 33 | 76 | 75 | 77 | 98 | 90 | 75 | 30 | 82 | 64 | 86 | 70 | 77 | 75 | 0 | 72 | 88 | 31 | 4,875,000$/2yrs | |||
![]() | 0 | D | 97.00 | 78 | 39 | 70 | 67 | 89 | 93 | 90 | 67 | 30 | 69 | 64 | 85 | 66 | 75 | 83 | 0 | 70 | 83 | 30 | 6,250,000$/4yrs | |||
![]() | 6 | D | 98.00 | 74 | 34 | 92 | 61 | 85 | 93 | 84 | 65 | 30 | 65 | 60 | 82 | 63 | 75 | 75 | 0 | 71 | 80 | 30 | 5,000,000$/5yrs | |||
![]() | 42 | D | 99.00 | 77 | 37 | 88 | 59 | 79 | 86 | 90 | 62 | 30 | 65 | 57 | 80 | 60 | 67 | 66 | 0 | 72 | 77 | 25 | 4,125,000$/6yrs | |||
![]() | 0 | D | 100.00 | 81 | 36 | 74 | 55 | 80 | 84 | 89 | 61 | 30 | 58 | 50 | 86 | 55 | 76 | 73 | 0 | 73 | 75 | 30 | 3,400,000$/3yrs | |||
![]() | 0 | D | 100.00 | 88 | 38 | 77 | 55 | 73 | 80 | 90 | 56 | 30 | 59 | 50 | 81 | 53 | 75 | 72 | 0 | 72 | 74 | 29 | 2,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 87 | 36 | 89 | 56 | 80 | 78 | 79 | 60 | 60 | 62 | 59 | 85 | 59 | 69 | 68 | 0 | 60 | 75 | 27 | 1,350,000$/2yrs | |||
TEAM AVERAGE | 99.53 | 72 | 35 | 82 | 70 | 76 | 86 | 88 | 70 | 56 | 71 | 70 | 74 | 70 | 74 | 74 | 0 | 68 | 82 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 88 | 91 | 79 | 89 | 92 | 83 | 92 | 92 | 91 | 91 | 92 | 84 | 89 | 0 | 79 | 92 | 34 | 5,500,000$/1yrs |
![]() | 5 | 100.00 | 88 | 94 | 80 | 74 | 86 | 78 | 86 | 88 | 85 | 89 | 86 | 77 | 81 | 0 | 81 | 88 | 31 | 1,200,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 88 | 93 | 80 | 82 | 89 | 81 | 89 | 90 | 88 | 90 | 89 | 81 | 85 | 0 | 80 | 90 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 79 | 86 | 94 | 91 | 75 | 69 | 82 | CAN | 51 | 5 | 1,000,000$ |
General Manager | Sou MMsaiphon |
---|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor McDavid | 97 | C | 67 | 34 | 40 | 74 | 18 | 38 | 0 | 122 | 344 | 94 | 236 | 9.88% | 12 | 20.54 | 5 | 8 | 13 | 240 | 0 | 1 | 1 | 52 | 5 | 0 | 54.02% | 1814 | 0 | 0 | 1 | 1 | 1.08 | 1 | 4 | |
2 | Mike Matheson | 19 | D | 66 | 10 | 46 | 56 | 7 | 34 | 0 | 81 | 99 | 49 | 94 | 10.10% | 90 | 24.95 | 5 | 8 | 13 | 237 | 0 | 0 | 0 | 133 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
3 | Clayton Keller | 9 | C/LW/RW | 67 | 21 | 27 | 48 | 18 | 13 | 5 | 41 | 219 | 54 | 144 | 9.59% | 4 | 20.62 | 5 | 7 | 12 | 240 | 1 | 0 | 1 | 58 | 6 | 2 | 40.52% | 153 | 0 | 0 | 0 | 0 | 0.69 | 2 | 4 | |
4 | Bryan Rust | 0 | RW | 67 | 23 | 24 | 47 | -1 | 22 | 0 | 117 | 225 | 61 | 138 | 10.22% | 11 | 20.07 | 6 | 12 | 18 | 218 | 0 | 1 | 1 | 146 | 2 | 1 | 44.83% | 87 | 0 | 0 | 1 | 0 | 0.70 | 0 | 0 | |
5 | Darnell Nurse | 0 | D | 67 | 6 | 35 | 41 | 7 | 72 | 10 | 127 | 90 | 26 | 91 | 6.67% | 103 | 23.99 | 5 | 6 | 11 | 252 | 0 | 0 | 0 | 208 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
6 | T.J. Oshie | 0 | RW | 70 | 19 | 21 | 40 | -5 | 67 | 5 | 205 | 188 | 46 | 127 | 10.11% | 15 | 16.91 | 4 | 10 | 14 | 212 | 1 | 0 | 1 | 83 | 2 | 2 | 44.76% | 143 | 0 | 0 | 0 | 0 | 0.68 | 2 | 6 | |
7 | Teuvo Teravainen | 86 | C/LW/RW | 67 | 20 | 17 | 37 | 4 | 8 | 0 | 19 | 159 | 49 | 111 | 12.58% | 9 | 16.47 | 2 | 5 | 7 | 214 | 0 | 0 | 0 | 0 | 3 | 0 | 41.33% | 75 | 0 | 0 | 0 | 0 | 0.67 | 0 | 1 | |
8 | Jake DeBrusk | 74 | LW/RW | 67 | 16 | 18 | 34 | 7 | 28 | 0 | 129 | 176 | 46 | 119 | 9.09% | 6 | 16.58 | 0 | 4 | 4 | 184 | 0 | 0 | 0 | 0 | 3 | 0 | 34.85% | 66 | 0 | 0 | 0 | 0 | 0.61 | 2 | 4 | |
9 | Wyatt Johnston | 0 | C/RW | 67 | 16 | 18 | 34 | 6 | 22 | 0 | 64 | 194 | 45 | 171 | 8.25% | 9 | 16.76 | 4 | 3 | 7 | 218 | 0 | 0 | 0 | 0 | 3 | 2 | 47.69% | 1275 | 0 | 0 | 0 | 0 | 0.61 | 1 | 3 | |
10 | Marco Rossi | 0 | C | 67 | 7 | 19 | 26 | 3 | 0 | 0 | 16 | 107 | 29 | 78 | 6.54% | 3 | 10.50 | 0 | 2 | 2 | 43 | 0 | 0 | 0 | 0 | 1 | 0 | 48.93% | 838 | 0 | 0 | 0 | 0 | 0.74 | 1 | 1 | |
11 | Conor Garland | 0 | LW/RW | 66 | 11 | 12 | 23 | 7 | 18 | 0 | 35 | 99 | 25 | 70 | 11.11% | 5 | 15.22 | 4 | 3 | 7 | 140 | 0 | 0 | 0 | 36 | 1 | 0 | 41.86% | 86 | 0 | 0 | 1 | 0 | 0.46 | 0 | 0 | |
12 | Ilya Lyubushkin | 0 | D | 67 | 2 | 19 | 21 | 8 | 95 | 5 | 146 | 46 | 12 | 33 | 4.35% | 84 | 19.41 | 0 | 1 | 1 | 23 | 0 | 3 | 3 | 187 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
13 | Connor Clifton | 0 | D | 67 | 5 | 16 | 21 | 14 | 46 | 0 | 92 | 42 | 9 | 34 | 11.90% | 48 | 14.31 | 3 | 0 | 3 | 105 | 0 | 0 | 0 | 115 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
14 | Ryan Pulock | 6 | D | 67 | 5 | 16 | 21 | 14 | 42 | 0 | 105 | 84 | 25 | 59 | 5.95% | 88 | 24.82 | 0 | 4 | 4 | 200 | 1 | 0 | 1 | 218 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
15 | Dakota Joshua | 8 | C/LW | 67 | 8 | 9 | 17 | 1 | 38 | 0 | 90 | 101 | 39 | 73 | 7.92% | 11 | 10.13 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 141 | 0 | 1 | 41.58% | 101 | 0 | 0 | 0 | 0 | 0.50 | 1 | 2 | |
16 | Colton Sissons | 0 | C/LW/RW | 67 | 7 | 9 | 16 | 2 | 4 | 0 | 25 | 80 | 22 | 65 | 8.75% | 6 | 10.40 | 1 | 0 | 1 | 39 | 1 | 2 | 3 | 159 | 0 | 0 | 54.01% | 774 | 0 | 0 | 1 | 0 | 0.46 | 0 | 0 | |
17 | Martin Fehervary | 42 | D | 67 | 2 | 10 | 12 | 8 | 24 | 0 | 78 | 38 | 14 | 30 | 5.26% | 48 | 13.19 | 0 | 2 | 2 | 98 | 0 | 0 | 0 | 12 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
18 | Beck Malenstyn | 0 | C/LW/RW | 59 | 2 | 8 | 10 | 3 | 35 | 5 | 65 | 47 | 17 | 43 | 4.26% | 10 | 8.49 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 81 | 0 | 0 | 46.51% | 43 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
19 | Jason Zucker | 0 | LW/RW | 67 | 7 | 3 | 10 | 0 | 34 | 0 | 78 | 60 | 14 | 39 | 11.67% | 6 | 10.13 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 40.82% | 49 | 0 | 0 | 0 | 0 | 0.29 | 0 | 2 | |
Team Total or Average | 1266 | 221 | 367 | 588 | 121 | 640 | 30 | 1635 | 2398 | 676 | 1755 | 9.22% | 568 | 16.54 | 44 | 75 | 119 | 2674 | 5 | 9 | 14 | 1637 | 35 | 9 | 50.02% | 5504 | 0 | 0 | 4 | 1 | 0.56 | 10 | 27 |
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 | 39 | 26 | 11 | 1 | 0.913 | 2.32 | 2274 | 6 | 1 | 88 | 1016 | 0 | 1 | 0 | 0.625 | 8 | 39 | 28 | 4 | 2 | 1 | |
2 | Charlie Lindgren | 30 | 12 | 13 | 4 | 0.917 | 2.64 | 1771 | 2 | 0 | 78 | 945 | 0 | 0 | 1 | 0.786 | 14 | 28 | 38 | 1 | 4 | 0 | |
Team Total or Average | 69 | 38 | 24 | 5 | 0.915 | 2.46 | 4046 | 8 | 1 | 166 | 1961 | 0 | 1 | 1 | 0.727 | 22 | 67 | 66 | 5 | 6 | 1 |
Projected Total Cap Hit | 87,887,432$ |
Projected Cap Space | 112,568$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 72,864,648$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Ducks Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Beck Malenstyn ![]() | C/LW/RW | 27 | 1,350,000$ | 1,350,000$ | 1,350,000$ | UFA | |||||
Bryan Rust ![]() | RW | 32 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | |||
Charlie Lindgren ![]() | G | 31 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Clayton Keller ![]() | C/LW/RW | 26 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||||
Colton Sissons ![]() | C/LW/RW | 31 | 2,857,143$ | 2,857,143$ | 2,857,143$ | UFA | |||||
Connor Clifton ![]() | D | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Connor McDavid ![]() | C | 28 | 12,500,000$ | 12,500,000$ | 12,500,000$ | UFA | |||||
Conor Garland ![]() | LW/RW | 29 | 4,950,000$ | 4,950,000$ | 4,950,000$ | UFA | |||||
Dakota Joshua ![]() | C/LW | 28 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||
Darcy Kuemper | G | 34 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Darnell Nurse ![]() | D | 30 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |||
Ilya Lyubushkin ![]() | D | 30 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||||
Jake DeBrusk ![]() | LW/RW | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||||
Jason Zucker ![]() | LW/RW | 33 | 3,875,000$ | 3,875,000$ | UFA | ||||||
Marco Rossi ![]() | C | 23 | 863,333$ | 863,333$ | RFA | ||||||
Martin Fehervary ![]() | D | 25 | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | UFA | |
Mike Matheson ![]() | D | 31 | 4,875,000$ | 4,875,000$ | 4,875,000$ | UFA | |||||
Ryan Pulock ![]() | D | 30 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
T.J. Oshie ![]() | RW | 38 | 5,750,000$ | 5,750,000$ | UFA | ||||||
Teuvo Teravainen ![]() | C/LW/RW | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Wyatt Johnston ![]() | C/RW | 21 | 894,167$ | 894,167$ | 8,400,000$ | 8,400,000$ | 8,400,000$ | 8,400,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas ![]() | C | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Antonio Stranges ![]() | C/LW | 23 | 846,667$ | 846,667$ | RFA | ||||||
Antti Saarela ![]() | C | 23 | 896,250$ | 896,250$ | RFA | ||||||
Arvid Soderblom ![]() | G | 25 | 962,500$ | 962,500$ | ![]() | ||||||
Ben Hutton ![]() | D | 31 | 950,000$ | 950,000$ | UFA | ||||||
Chris Tierney ![]() | C/LW | 30 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Cole Krygier ![]() | D | 26 | 837,500$ | 837,500$ | ![]() | ||||||
Colin Blackwell ![]() | C/RW | 32 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
David Spacek ![]() | D | 22 | 862,500$ | 862,500$ | 862,500$ | RFA | |||||
Donovan Sebrango ![]() | D | 23 | 828,333$ | 828,333$ | RFA | ||||||
Drew O'Connor ![]() | LW/RW | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Elmer Soderblom ![]() | C/LW/RW | 23 | 878,333$ | 878,333$ | RFA | ||||||
Haydn Fleury ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Jakub Dobes ![]() | G | 23 | 925,000$ | 925,000$ | RFA | ||||||
Jakub Rychlovsky ![]() | LW | 23 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Jaxsen Wiebe ![]() | C | 22 | 852,500$ | 852,500$ | 852,500$ | RFA | |||||
Jimmy Vesey ![]() | LW/RW | 31 | 925,000$ | 925,000$ | UFA | ||||||
John Parker-Jones ![]() | RW/D | 24 | 775,000$ | 775,000$ | ![]() | ||||||
Justin Dowling ![]() | C/LW/RW | 34 | 775,000$ | 775,000$ | UFA | ||||||
Leo Loof ![]() | D | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Matt Villalta ![]() | G | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Max Sasson ![]() | C | 24 | 870,000$ | 870,000$ | RFA | ||||||
Mitchell Gibson ![]() | G | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Nicolas Beaudin ![]() | D | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Nikita Chibrikov ![]() | LW/RW | 22 | 875,833$ | 875,833$ | 875,833$ | RFA | |||||
Ole Bjorgvik-Holm ![]() | D | 22 | 825,000$ | 825,000$ | RFA | ||||||
Pat Maroon ![]() | LW/RW | 36 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Patrik Koch ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Scott Sabourin ![]() | RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Spencer Martin ![]() | G | 29 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Spencer Stastney ![]() | D | 25 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Stephen Halliday ![]() | C | 22 | 775,000$ | 775,000$ | RFA | ||||||
Thomas Bordeleau ![]() | C/LW | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Ty Glover ![]() | C | 24 | 859,167$ | 859,167$ | RFA | ||||||
Uvis Balinskis ![]() | D | 28 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Waltteri Merela ![]() | RW | 26 | 775,000$ | 775,000$ | ![]() |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
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 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 4 | 2 | 1 | 0 | 68 | 29 | 21 | 18 | 0 | 55 | 11 | 20 | 45 | 9 | 1 | 11.11% | 10 | 1 | 90.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 52 | 35 | 41 | 13 | 26 | 14 | 75.0% | 10.3% | 94.5% | 104.8 | LUCKY | |
2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 4 | 0 | 1 | 53 | 14 | 19 | 19 | 1 | 67 | 12 | 10 | 28 | 8 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 47 | 33 | 48 | 14 | 24 | 12 | 77.8% | 13.2% | 97.0% | 110.2 | LUCKY | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 2 | 5 | 5 | 0 | 76 | 18 | 27 | 31 | 0 | 46 | 6 | 12 | 33 | 12 | 3 | 25.00% | 6 | 1 | 83.33% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 52 | 38 | 42 | 13 | 24 | 13 | 81.8% | 15.8% | 93.5% | 109.3 | LUCKY | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 65 | 24 | 18 | 23 | 0 | 60 | 9 | 16 | 51 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 49 | 35 | 47 | 14 | 23 | 11 | 14.3% | 3.1% | 86.7% | 89.7 | Unlucky | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 65 | 16 | 26 | 23 | 0 | 49 | 11 | 20 | 51 | 11 | 1 | 9.09% | 9 | 1 | 88.89% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 51 | 36 | 43 | 14 | 24 | 12 | 66.7% | 10.8% | 91.8% | 102.6 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 23 | 8 | 9 | 6 | 0 | 32 | 9 | 8 | 25 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 22 | 16 | 24 | 7 | 12 | 5 | 50.0% | 8.7% | 87.5% | 96.2 | Unlucky | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 3 | 2 | 1 | 0 | 50 | 23 | 20 | 7 | 0 | 58 | 16 | 16 | 36 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 49 | 34 | 45 | 13 | 25 | 12 | 50.0% | 12.0% | 87.9% | 99.9 | FUN | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 1 | 1 | 32 | 8 | 9 | 9 | 6 | 49 | 12 | 14 | 21 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 25 | 18 | 25 | 7 | 13 | 6 | 71.4% | 15.6% | 91.8% | 107.5 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 1 | 0 | 2 | 1 | 2 | 0 | 59 | 22 | 19 | 18 | 0 | 56 | 20 | 20 | 56 | 6 | 1 | 16.67% | 10 | 0 | 100.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 45 | 31 | 49 | 14 | 24 | 12 | 44.4% | 8.5% | 91.1% | 99.5 | Unlucky | |
10 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 5 | 4 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 4 | 3 | 2 | 0 | 69 | 27 | 26 | 15 | 1 | 63 | 11 | 22 | 42 | 9 | 1 | 11.11% | 11 | 3 | 72.73% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 48 | 34 | 50 | 14 | 23 | 11 | 80.0% | 13.0% | 92.1% | 105.1 | LUCKY | |
11 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 1 | 1 | 68 | 29 | 16 | 22 | 1 | 46 | 28 | 15 | 30 | 9 | 1 | 11.11% | 4 | 1 | 75.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 57 | 42 | 40 | 12 | 22 | 12 | 50.0% | 7.4% | 89.1% | 96.5 | Unlucky | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 57 | 22 | 22 | 13 | 0 | 75 | 18 | 16 | 29 | 6 | 1 | 16.67% | 7 | 3 | 57.14% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 51 | 37 | 45 | 11 | 22 | 12 | 33.3% | 7.0% | 88.0% | 95.0 | Unlucky | |
13 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 100 | 35 | 35 | 30 | 0 | 82 | 22 | 53 | 54 | 12 | 2 | 16.67% | 18 | 2 | 88.89% | 1 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 79 | 54 | 63 | 21 | 37 | 19 | 50.0% | 7.0% | 91.5% | 98.5 | DULL | |
14 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 6 | 12 | -6 | 1 | 0.167 | 6 | 11 | 17 | 0 | 0 | 2 | 3 | 1 | 0 | 110 | 40 | 30 | 38 | 9 | 99 | 29 | 24 | 68 | 14 | 0 | 0.00% | 12 | 0 | 100.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 75 | 51 | 69 | 22 | 39 | 20 | 33.3% | 5.5% | 87.9% | 93.3 | Unlucky | |
15 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 5 | 1 | 3 | 1 | 72 | 17 | 23 | 31 | 1 | 62 | 10 | 4 | 44 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 49 | 35 | 45 | 14 | 27 | 15 | 56.3% | 13.9% | 88.7% | 102.6 | FUN | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 4 | 2 | 0 | 0 | 70 | 20 | 24 | 26 | 0 | 32 | 7 | 6 | 42 | 12 | 1 | 8.33% | 2 | 0 | 100.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 55 | 41 | 38 | 14 | 26 | 13 | 62.5% | 8.6% | 90.6% | 99.2 | Unlucky | |
17 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 0.667 | 6 | 10 | 16 | 0 | 0 | 2 | 4 | 0 | 0 | 86 | 15 | 32 | 39 | 0 | 69 | 31 | 28 | 47 | 15 | 3 | 20.00% | 12 | 0 | 100.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 70 | 47 | 71 | 23 | 38 | 19 | 42.9% | 7.0% | 94.2% | 101.2 | DULL | |
18 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 4 | 0.667 | 5 | 8 | 13 | 0 | 0 | 0 | 1 | 3 | 4 | 71 | 30 | 18 | 19 | 12 | 105 | 36 | 26 | 57 | 6 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 69 | 48 | 77 | 22 | 37 | 18 | 55.6% | 7.0% | 94.3% | 101.3 | DULL | |
19 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 1 | 2 | 4 | 0 | 81 | 22 | 28 | 31 | 0 | 104 | 28 | 26 | 74 | 13 | 1 | 7.69% | 13 | 3 | 76.92% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 65 | 44 | 75 | 23 | 38 | 18 | 46.2% | 8.6% | 90.4% | 99.0 | Unlucky | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 13 | 13 | 5 | 0 | 22 | 14 | 6 | 21 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 21 | 13 | 25 | 7 | 13 | 6 | 50.0% | 3.2% | 90.9% | 94.1 | Unlucky | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 51 | 16 | 17 | 18 | 0 | 56 | 12 | 17 | 39 | 9 | 2 | 22.22% | 7 | 0 | 100.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 48 | 32 | 46 | 15 | 25 | 12 | 50.0% | 7.8% | 96.4% | 104.3 | DULL | |
22 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.667 | 12 | 23 | 35 | 0 | 0 | 8 | 2 | 2 | 0 | 108 | 43 | 42 | 23 | 0 | 106 | 29 | 32 | 55 | 14 | 3 | 21.43% | 13 | 1 | 92.31% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 71 | 48 | 70 | 23 | 38 | 18 | 52.9% | 11.1% | 91.5% | 102.6 | LUCKY | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 18 | 27 | 0 | 1 | 2 | 3 | 4 | 0 | 60 | 22 | 17 | 21 | 0 | 60 | 12 | 34 | 48 | 5 | 1 | 20.00% | 10 | 1 | 90.00% | 1 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 48 | 34 | 47 | 14 | 24 | 12 | 88.9% | 15.0% | 96.7% | 111.7 | LUCKY | |
24 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 79 | 24 | 31 | 24 | 0 | 80 | 16 | 16 | 48 | 14 | 2 | 14.29% | 6 | 2 | 66.67% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 52 | 37 | 42 | 14 | 24 | 12 | 12.5% | 3.8% | 88.8% | 92.5 | Unlucky | |
25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 74 | 30 | 19 | 25 | 0 | 54 | 16 | 14 | 50 | 7 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 53 | 38 | 41 | 14 | 24 | 12 | 50.0% | 4.1% | 88.9% | 92.9 | Unlucky | |
26 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 74 | 25 | 23 | 25 | 1 | 51 | 11 | 16 | 42 | 9 | 1 | 11.11% | 7 | 1 | 85.71% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 53 | 37 | 43 | 14 | 26 | 13 | 50.0% | 4.1% | 94.1% | 98.2 | DULL | |
27 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 1 | 2 | 34 | 14 | 8 | 11 | 4 | 44 | 14 | 23 | 15 | 4 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 24 | 15 | 28 | 9 | 12 | 5 | 66.7% | 11.8% | 93.2% | 104.9 | LUCKY | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 5 | 0 | 2 | 0 | 55 | 22 | 16 | 17 | 0 | 47 | 22 | 12 | 42 | 10 | 2 | 20.00% | 6 | 0 | 100.00% | 1 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 51 | 36 | 41 | 15 | 26 | 13 | 50.0% | 12.7% | 89.4% | 102.1 | FUN | |
29 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 4 | 1 | 0 | 65 | 20 | 23 | 22 | 0 | 53 | 13 | 10 | 40 | 8 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 51 | 36 | 42 | 13 | 25 | 14 | 61.5% | 12.3% | 90.6% | 102.9 | FUN | |
30 | 4 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 12 | 7 | 5 | 6 | 0.750 | 12 | 23 | 35 | 0 | 0 | 2 | 7 | 3 | 0 | 138 | 44 | 52 | 42 | 0 | 91 | 36 | 26 | 112 | 14 | 3 | 21.43% | 11 | 1 | 90.91% | 1 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 100 | 70 | 89 | 29 | 51 | 27 | 60.0% | 8.7% | 92.3% | 101.0 | DULL | |
31 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 7 | 5 | 6 | 1.000 | 12 | 19 | 31 | 0 | 0 | 4 | 3 | 4 | 2 | 108 | 29 | 49 | 28 | 6 | 89 | 37 | 24 | 53 | 5 | 0 | 0.00% | 12 | 0 | 100.00% | 0 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 78 | 54 | 66 | 21 | 40 | 20 | 63.2% | 11.1% | 92.1% | 103.2 | LUCKY | |
_Vs Division | 20 | 10 | 6 | 0 | 0 | 2 | 1 | 1 | 58 | 45 | 13 | 25 | 0.625 | 58 | 101 | 159 | 0 | 0 | 20 | 25 | 12 | 2 | 675 | 212 | 242 | 217 | 15 | 538 | 179 | 185 | 419 | 77 | 9 | 11.69% | 79 | 4 | 94.94% | 2 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 508 | 352 | 443 | 146 | 259 | 136 | 54.4% | 8.6% | 91.6% | 100.2 | DULL | |
_Vs Conference | 39 | 17 | 15 | 0 | 1 | 3 | 2 | 1 | 108 | 102 | 6 | 44 | 0.564 | 108 | 194 | 302 | 0 | 0 | 42 | 36 | 27 | 7 | 1262 | 424 | 437 | 391 | 29 | 1153 | 343 | 335 | 806 | 141 | 16 | 11.35% | 148 | 18 | 87.84% | 2 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 973 | 677 | 889 | 285 | 499 | 257 | 52.3% | 8.6% | 91.2% | 99.7 | DULL | |
_Since Last GM Reset | 67 | 31 | 24 | 0 | 4 | 4 | 3 | 1 | 196 | 168 | 28 | 81 | 0.604 | 196 | 352 | 548 | 1 | 1 | 77 | 62 | 50 | 12 | 2152 | 721 | 732 | 679 | 42 | 1962 | 558 | 586 | 1398 | 261 | 32 | 12.26% | 253 | 35 | 86.17% | 4 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 1675 | 1175 | 1531 | 489 | 846 | 432 | 55.2% | 9.1% | 91.4% | 100.5 | LUCKY | |
Total | 67 | 31 | 24 | 0 | 4 | 4 | 3 | 1 | 196 | 168 | 28 | 81 | 0.604 | 196 | 352 | 548 | 1 | 1 | 77 | 62 | 50 | 12 | 2152 | 721 | 732 | 679 | 42 | 1962 | 558 | 586 | 1398 | 261 | 32 | 12.26% | 253 | 35 | 86.17% | 4 | 1221 | 2398 | 50.92% | 1169 | 2330 | 50.17% | 514 | 983 | 52.29% | 1675 | 1175 | 1531 | 489 | 846 | 432 | 55.2% | 9.1% | 91.4% | 100.5 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2398 |
Neutral Zone Start | 983 |
Defensive Zone Start | 2330 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2904 |
Faceoffs Lost | 2807 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 31.8 | 30.68 |
Overtime | 32.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 159 |
---|---|
PP Goal | 32 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 22 |
Lost | 14 | 10 |
Overtime Lost | 3 | 2 |
PP Attempt | 261 |
---|---|
PP Goal | 32 |
PK Attempt | 253 |
PK Goal Against | 35 |
Home | |
---|---|
Shots For | 32.1 |
Shots Against | 29.3 |
Goals For | 2.9 |
Goals Against | 2.5 |
Hits | 20.9 |
Shots Blocked | 8.3 |
Pim | 8.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-14 | @ | Ducks5,Sharks1 | RECAP | |||||||||||
2024-10-15 | @ | Ducks1,Golden Knights2 (OT) | RECAP | |||||||||||
2024-10-18 | @ | Hockey Club4,Ducks3 | RECAP | |||||||||||
2024-10-20 | @ | Ducks4,Avalanche3 | RECAP | |||||||||||
2024-10-22 | @ | Kings3,Ducks1 | RECAP | |||||||||||
2024-10-24 | @ | Sharks4,Ducks3 | RECAP | |||||||||||
2024-10-28 | @ | Ducks5,Rangers4 (OT) | RECAP | |||||||||||
2024-10-29 | @ | Ducks4,Devils2 | RECAP | |||||||||||
2024-10-31 | @ | Ducks3,Islanders2 | RECAP | |||||||||||
2024-11-02 | @ | Ducks3,Penguins4 | RECAP | |||||||||||
2024-11-05 | @ | Blackhawks2,Ducks4 | RECAP | |||||||||||
2024-11-07 | @ | Canucks2,Ducks1 | RECAP | |||||||||||
2024-11-10 | @ | Wild4,Ducks2 | RECAP | |||||||||||
2024-11-12 | @ | Blue Jackets6,Ducks2 | RECAP | |||||||||||
2024-11-15 | @ | Golden Knights3,Ducks2 (OT) | RECAP | |||||||||||
2024-11-17 | @ | Red Wings4,Ducks2 | RECAP | |||||||||||
2024-11-20 | @ | Ducks1,Stars2 (OT) | RECAP | |||||||||||
2024-11-21 | @ | Ducks4,Blackhawks2 | RECAP | |||||||||||
2024-11-24 | @ | Sabres1,Ducks2 | RECAP | |||||||||||
2024-11-27 | @ | Kraken4,Ducks5 (SO) | RECAP | |||||||||||
2024-11-29 | @ | Ducks3,Kraken1 | RECAP | |||||||||||
2024-12-01 | @ | Kings4,Ducks3 (SO) | RECAP | |||||||||||
2024-12-03 | @ | Senators6,Ducks1 | RECAP | |||||||||||
2024-12-06 | @ | Golden Knights1,Ducks3 | RECAP | |||||||||||
2024-12-08 | @ | Wild5,Ducks2 | RECAP | |||||||||||
2024-12-11 | @ | Ducks6,Canadiens1 | RECAP | |||||||||||
2024-12-13 | @ | Ducks1,Senators2 | RECAP | |||||||||||
2024-12-14 | @ | Ducks4,Maple Leafs3 (SO) | RECAP | |||||||||||
2024-12-16 | @ | Ducks1,Blue Jackets3 | RECAP | |||||||||||
2024-12-20 | @ | Jets3,Ducks2 | RECAP | |||||||||||
2024-12-22 | @ | Avalanche4,Ducks2 | RECAP | |||||||||||
2024-12-24 | @ | Ducks2,Hockey Club5 | RECAP | |||||||||||
2024-12-25 | @ | Ducks6,Golden Knights1 | RECAP | |||||||||||
2024-12-30 | @ | Flyers1,Ducks2 (OT) | RECAP | |||||||||||
2024-12-31 | @ | Oilers1,Ducks2 | RECAP | |||||||||||
2025-01-02 | @ | Devils1,Ducks8 | RECAP | |||||||||||
2025-01-04 | @ | Ducks1,Jets3 | RECAP | |||||||||||
2025-01-05 | @ | Ducks3,Oilers1 | RECAP | |||||||||||
2025-01-07 | @ | Lightning1,Ducks3 | RECAP | |||||||||||
2025-01-09 | @ | Flames1,Ducks3 | RECAP | |||||||||||
2025-01-11 | @ | Ducks2,Blues1 (SO) | RECAP | |||||||||||
2025-01-13 | @ | Ducks5,Flyers1 | RECAP | |||||||||||
2025-01-14 | @ | Ducks2,Hurricanes4 | RECAP | |||||||||||
2025-01-16 | @ | Ducks3,Capitals2 (OT) | RECAP | |||||||||||
2025-01-18 | @ | Ducks3,Lightning2 | RECAP | |||||||||||
2025-01-20 | @ | Ducks6,Panthers0 | RECAP | |||||||||||
2025-01-23 | @ | Panthers2,Ducks3 | RECAP | |||||||||||
2025-01-25 | @ | Penguins1,Ducks4 | RECAP | |||||||||||
2025-01-27 | @ | Predators4,Ducks5 (OT) | RECAP | |||||||||||
2025-01-30 | @ | Ducks4,Kraken2 | RECAP | |||||||||||
2025-02-01 | @ | Ducks4,Flames2 | RECAP | |||||||||||
2025-02-04 | @ | Canadiens4,Ducks3 (OT) | RECAP | |||||||||||
2025-02-06 | @ | Stars1,Ducks2 | RECAP | |||||||||||
2025-02-10 | @ | Ducks2,Kings5 | RECAP | |||||||||||
2025-02-24 | @ | Ducks1,Bruins2 | RECAP | |||||||||||
2025-02-25 | @ | Ducks3,Red Wings1 | RECAP | |||||||||||
2025-02-27 | @ | Ducks2,Sabres1 | RECAP | |||||||||||
2025-03-01 | @ | Canucks4,Ducks3 | RECAP | |||||||||||
2025-03-03 | @ | Blackhawks5,Ducks4 | RECAP | |||||||||||
2025-03-06 | @ | Ducks1,Oilers2 | RECAP | |||||||||||
2025-03-07 | @ | Ducks3,Canucks1 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | Blues1,Ducks2 | RECAP | |||||||||||
2025-03-11 | @ | Islanders2,Ducks4 | RECAP | |||||||||||
2025-03-13 | @ | Capitals3,Ducks2 | RECAP | |||||||||||
2025-03-14 | @ | Ducks2,Hockey Club1 | RECAP | |||||||||||
2025-03-16 | @ | Predators3,Ducks5 | RECAP | |||||||||||
2025-03-18 | @ | Ducks1,Blues4 | RECAP | |||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-28 | @ | |||||||||||||
2025-03-30 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-07 | @ | |||||||||||||
2025-04-09 | @ | |||||||||||||
2025-04-11 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-15 | @ | |||||||||||||
2025-04-17 | @ | |||||||||||||
2025-04-18 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
92,014,643$ | 0$ | 87,887,432$ | -4,014,643$ |
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 | 189165 | 158184 | 64180 | 123788 | 30908 |
Attendance PCT | 95.54% | 95.87% | 97.24% | 93.78% | 93.66% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
8 | 17158 - 95.32% | 1,573,006$ | 51,909,183$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
92,014,643$ | 92,014,643$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
73,701,387$ | 469,462$ | 72,864,648$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
12,584,044$ | 32 | 474,565$ | 15,186,080$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
15,537,242$ | 92,014,643$ | 58,456,705$ | 55,503,507$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
---|---|---|---|---|---|---|---|---|
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 | ||||||||
2029 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Jecho | 2024 | 64 | |||
Albert Wikman | 2023 | 120 | |||
Alexander Zetterberg | 2024 | 202 | |||
Andre Gasseau | 2021 | 181 | |||
Arseni Sergeev | 2021 | 149 | |||
Dylan Roobroeck | 2023 | 160 | |||
Francesco Arcuri | 2021 | 213 | |||
Grant Slukynsky | 2020 | 190 | |||
Ilya Protas | 2024 | 105 | |||
Jacob Truscott | 2020 | 183 | |||
Jaden Lipinski | 2023 | 115 | |||
Jakub Fibigr | 2024 | 209 | |||
Javon Moore | 2024 | 112 | |||
Juraj Pekarcik | 2023 | 83 | |||
Kalem Parker | 2023 | 179 | |||
Kim Saarinen | 2024 | 96 | |||
Kristian Kostadinski | 2023 | 211 | |||
Logan Sawyer | 2024 | 99 | |||
Makar Khanin | 2024 | 224 | |||
Maxim Barbashev | 2022 | 165 | |||
Maximilian Glotzl | 2020 | 215 | |||
Nate Danielson | 2023 | 19 | |||
Oskar Jellvik | 2021 | 171 | |||
Paul Fischer | 2023 | 147 | |||
Quentin Miller | 2023 | 91 | |||
Rody Ross | 2019 | 183 | |||
Teddy Stiga | 2024 | 32 | |||
Ty Henricks | 2023 | 185 | |||
Ty Murchison | 2021 | 163 |
|