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Full Scoreboard »» |
Anaheim Ducks 41-23-4, 86pts · 3rd in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Connor McDavid (C) | 97 | C | 100.00 | 70 | 33 | 84 | 97 | 76 | 92 | 90 | 94 | 84 | 97 | 95 | 79 | 94 | 72 | 86 | 0 | 78 | 99 | 27 | 12,500,000$/3yrs | |||
Clayton Keller | 9 | C/LW/RW | 100.00 | 57 | 34 | 79 | 86 | 68 | 89 | 90 | 83 | 60 | 84 | 84 | 68 | 84 | 68 | 66 | 0 | 78 | 91 | 25 | 7,000,000$/4yrs | |||
Mikael Granlund | 64 | C/LW/RW | 100.00 | 66 | 32 | 87 | 78 | 70 | 90 | 88 | 77 | 84 | 87 | 69 | 88 | 73 | 80 | 86 | 0 | 78 | 90 | 32 | 5,000,000$/2yrs | |||
Colton Sissons | 0 | C/LW/RW | 100.00 | 74 | 33 | 82 | 75 | 79 | 84 | 90 | 76 | 85 | 73 | 79 | 84 | 77 | 76 | 75 | 0 | 75 | 88 | 30 | 2,857,143$/3yrs | |||
Jake DeBrusk | 74 | LW/RW | 100.00 | 71 | 33 | 91 | 79 | 76 | 83 | 86 | 77 | 58 | 75 | 80 | 75 | 78 | 71 | 70 | 0 | 78 | 87 | 27 | 4,750,000$/4yrs | |||
Dakota Joshua | 8 | C/LW | 100.00 | 90 | 52 | 70 | 72 | 83 | 79 | 88 | 73 | 61 | 72 | 75 | 84 | 74 | 72 | 69 | 0 | 79 | 87 | 27 | 785,000$/1yrs | |||
Wyatt Johnston (R) | 0 | C | 100.00 | 62 | 32 | 84 | 84 | 74 | 84 | 90 | 77 | 79 | 78 | 79 | 76 | 78 | 60 | 58 | 0 | 78 | 87 | 20 | 894,167$/2yrs | |||
Cam Atkinson | 13 | RW | 100.00 | 55 | 31 | 91 | 78 | 65 | 84 | 72 | 73 | 61 | 74 | 75 | 81 | 74 | 84 | 83 | 0 | 69 | 86 | 34 | 5,875,000$/2yrs | |||
Marco Rossi (R) | 0 | C | 100.00 | 55 | 39 | 66 | 82 | 68 | 83 | 90 | 78 | 76 | 76 | 80 | 64 | 79 | 62 | 59 | 0 | 67 | 86 | 22 | 925,000$/1yrs | |||
Teuvo Teravainen | 86 | LW/RW | 100.00 | 55 | 32 | 97 | 77 | 73 | 84 | 90 | 75 | 63 | 72 | 82 | 75 | 78 | 75 | 75 | 0 | 75 | 86 | 29 | 5,400,000$/1yrs | |||
Jason Zucker | 0 | LW/RW | 100.00 | 81 | 35 | 80 | 72 | 74 | 81 | 88 | 74 | 59 | 73 | 79 | 65 | 76 | 79 | 77 | 0 | 78 | 85 | 32 | 3,875,000$/2yrs | |||
Stefan Noesen | 23 | RW | 100.00 | 70 | 33 | 80 | 74 | 80 | 76 | 90 | 76 | 60 | 75 | 78 | 60 | 77 | 77 | 75 | 0 | 78 | 85 | 31 | 800,000$/1yrs | |||
Mike Matheson | 19 | D | 97.00 | 61 | 33 | 71 | 79 | 77 | 98 | 90 | 78 | 60 | 84 | 71 | 90 | 75 | 76 | 73 | 0 | 78 | 92 | 30 | 4,875,000$/3yrs | |||
Darnell Nurse | 0 | D | 97.00 | 77 | 38 | 74 | 73 | 89 | 94 | 90 | 73 | 30 | 75 | 71 | 92 | 72 | 74 | 82 | 0 | 76 | 90 | 29 | 6,250,000$/5yrs | |||
Ryan Pulock | 6 | D | 100.00 | 74 | 34 | 88 | 62 | 85 | 94 | 85 | 69 | 30 | 68 | 65 | 90 | 67 | 75 | 73 | 0 | 78 | 85 | 29 | 5,000,000$/1yrs | |||
Joel Edmundson | 0 | D | 100.00 | 75 | 40 | 73 | 63 | 90 | 86 | 82 | 66 | 30 | 68 | 60 | 89 | 63 | 77 | 81 | 0 | 76 | 84 | 30 | 3,500,000$/1yrs | |||
Martin Fehervary | 42 | D | 100.00 | 82 | 33 | 84 | 64 | 79 | 88 | 87 | 69 | 30 | 67 | 60 | 87 | 64 | 66 | 64 | 0 | 68 | 84 | 24 | 4,125,000$/7yrs | |||
Connor Clifton | 0 | D | 100.00 | 85 | 50 | 71 | 62 | 73 | 84 | 90 | 67 | 30 | 72 | 61 | 77 | 64 | 73 | 70 | 0 | 78 | 83 | 28 | 2,500,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.67 | 70 | 36 | 81 | 75 | 77 | 86 | 88 | 75 | 58 | 76 | 75 | 79 | 75 | 73 | 73 | 0 | 76 | 88 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Darcy Kuemper | 0 | 98.00 | 88 | 95 | 81 | 89 | 89 | 83 | 90 | 94 | 88 | 94 | 90 | 82 | 87 | 0 | 78 | 94 | 33 | 5,500,000$/2yrs |
Arvid Soderblom | 0 | 97.00 | 75 | 83 | 76 | 75 | 71 | 68 | 76 | 87 | 78 | 83 | 76 | 66 | 69 | 0 | 68 | 82 | 24 | 962,500$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 97.50 | 82 | 89 | 79 | 82 | 80 | 76 | 83 | 91 | 83 | 89 | 83 | 74 | 78 | 0 | 73 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 79 | 87 | 92 | 85 | 75 | 69 | 82 | CAN | 50 | 1 | 1,000,000$ |
General Manager | Sou MMsaiphon |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor McDavid | Ducks | 97 | C | 68 | 38 | 40 | 78 | 10 | 28 | 0 | 160 | 331 | 89 | 199 | 11.48% | 8 | 19.40 | 10 | 12 | 22 | 241 | 0 | 0 | 0 | 4 | 7 | 2 | 52.07% | 1713 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 |
2 | Mike Matheson | Ducks | 19 | D | 68 | 9 | 57 | 66 | 6 | 34 | 0 | 52 | 116 | 42 | 84 | 7.76% | 117 | 25.16 | 6 | 16 | 22 | 241 | 0 | 2 | 2 | 194 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 |
3 | Jake DeBrusk | Ducks | 74 | LW/RW | 68 | 24 | 32 | 56 | 8 | 24 | 0 | 97 | 171 | 59 | 144 | 14.04% | 8 | 17.97 | 6 | 9 | 15 | 213 | 0 | 0 | 0 | 5 | 2 | 3 | 43.18% | 88 | 0 | 0 | 0 | 1 | 0.92 | 0 | 0 |
4 | Clayton Keller | Ducks | 9 | C/LW/RW | 68 | 18 | 34 | 52 | 8 | 20 | 0 | 59 | 238 | 65 | 153 | 7.56% | 7 | 19.74 | 4 | 9 | 13 | 238 | 0 | 0 | 0 | 34 | 3 | 0 | 34.17% | 120 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 |
5 | Cam Atkinson | Ducks | 13 | RW | 68 | 18 | 28 | 46 | 15 | 4 | 0 | 26 | 157 | 49 | 117 | 11.46% | 16 | 20.98 | 5 | 6 | 11 | 231 | 0 | 1 | 1 | 209 | 5 | 1 | 43.75% | 128 | 0 | 0 | 0 | 1 | 0.64 | 0 | 0 |
6 | Darnell Nurse | Ducks | 0 | D | 68 | 10 | 36 | 46 | 10 | 71 | 5 | 181 | 118 | 43 | 84 | 8.47% | 106 | 25.20 | 6 | 8 | 14 | 241 | 1 | 2 | 3 | 195 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 |
7 | Ryan Pulock | Ducks | 6 | D | 68 | 8 | 37 | 45 | 26 | 32 | 0 | 55 | 92 | 29 | 60 | 8.70% | 75 | 20.06 | 3 | 9 | 12 | 209 | 0 | 0 | 0 | 20 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 |
8 | Teuvo Teravainen | Ducks | 86 | LW/RW | 68 | 19 | 22 | 41 | 18 | 27 | 5 | 19 | 154 | 48 | 118 | 12.34% | 11 | 15.72 | 4 | 8 | 12 | 205 | 0 | 0 | 0 | 37 | 6 | 0 | 50.00% | 62 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 |
9 | Mikael Granlund | Ducks | 64 | C/LW/RW | 68 | 14 | 17 | 31 | 6 | 24 | 0 | 80 | 113 | 32 | 71 | 12.39% | 16 | 15.89 | 0 | 3 | 3 | 50 | 2 | 1 | 3 | 160 | 2 | 3 | 50.07% | 689 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
10 | Wyatt Johnston | Ducks | 0 | C | 68 | 15 | 15 | 30 | 12 | 14 | 0 | 54 | 131 | 38 | 85 | 11.45% | 6 | 13.76 | 2 | 1 | 3 | 72 | 2 | 0 | 2 | 46 | 6 | 0 | 48.72% | 1090 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 |
11 | Joel Edmundson | Ducks | 0 | D | 68 | 8 | 20 | 28 | 25 | 66 | 10 | 146 | 57 | 26 | 34 | 14.04% | 80 | 20.48 | 0 | 0 | 0 | 114 | 0 | 1 | 1 | 153 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 |
12 | Marco Rossi | Ducks | 0 | C | 53 | 7 | 19 | 26 | 4 | 18 | 10 | 27 | 76 | 26 | 79 | 9.21% | 0 | 11.10 | 0 | 6 | 6 | 93 | 0 | 0 | 0 | 0 | 1 | 0 | 48.44% | 768 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 |
13 | Colton Sissons | Ducks | 0 | C/LW/RW | 68 | 9 | 13 | 22 | 0 | 29 | 5 | 59 | 113 | 25 | 72 | 7.96% | 6 | 12.32 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 181 | 2 | 0 | 50.68% | 1032 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 |
14 | Connor Clifton | Ducks | 0 | D | 68 | 5 | 14 | 19 | -1 | 54 | 0 | 88 | 36 | 9 | 35 | 13.89% | 47 | 14.58 | 3 | 1 | 4 | 100 | 0 | 0 | 0 | 45 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 |
15 | Martin Fehervary | Ducks | 42 | D | 68 | 4 | 12 | 16 | 0 | 34 | 0 | 75 | 28 | 8 | 19 | 14.29% | 67 | 14.73 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 171 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
16 | Jason Zucker | Ducks | 0 | LW/RW | 68 | 7 | 7 | 14 | 1 | 24 | 0 | 70 | 78 | 21 | 58 | 8.97% | 1 | 9.59 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 58.82% | 51 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
17 | Dakota Joshua | Ducks | 8 | C/LW | 68 | 6 | 6 | 12 | 6 | 39 | 5 | 117 | 68 | 20 | 59 | 8.82% | 2 | 8.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 1 | 0 | 36.00% | 25 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
18 | Stefan Noesen | Ducks | 23 | RW | 68 | 7 | 3 | 10 | -1 | 8 | 0 | 27 | 45 | 22 | 35 | 15.56% | 2 | 8.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.00% | 25 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 |
Team Total or Average | 1209 | 226 | 412 | 638 | 153 | 550 | 40 | 1392 | 2122 | 651 | 1506 | 10.65% | 575 | 16.38 | 49 | 89 | 138 | 2272 | 5 | 8 | 13 | 1500 | 41 | 15 | 49.68% | 5791 | 0 | 0 | 0 | 2 | 0.64 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Darcy Kuemper | Ducks | 55 | 32 | 18 | 3 | 0.908 | 2.62 | 3137 | 4 | 3 | 137 | 1497 | 0 | 1 | 1 | 0.000 | 0 | 52 | 16 | 7 | 4 | 1 |
2 | Arvid Soderblom | Ducks | 19 | 9 | 5 | 1 | 0.881 | 3.33 | 955 | 0 | 1 | 53 | 447 | 0 | 0 | 0 | 0.000 | 0 | 16 | 52 | 1 | 1 | 0 |
Team Total or Average | 74 | 41 | 23 | 4 | 0.902 | 2.79 | 4092 | 4 | 4 | 190 | 1944 | 0 | 1 | 1 | 0.000 | 0 | 68 | 68 | 8 | 5 | 1 |
Projected Total Cap Hit | 83,373,888$ |
Projected Cap Space | 126,112$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 69,478,240$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Ducks Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Arvid Soderblom | G | 24 | 962,500$ | 962,500$ | 962,500$ | RFA | |||||
Cam Atkinson | RW | 34 | 5,875,000$ | 5,875,000$ | 5,875,000$ | UFA | |||||
Clayton Keller | C/LW/RW | 25 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||
Colton Sissons | C/LW/RW | 30 | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | UFA | ||||
Connor Clifton | D | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Connor McDavid | C | 27 | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | UFA | ||||
Dakota Joshua | C/LW | 27 | 785,000$ | 785,000$ | UFA | ||||||
Darcy Kuemper | G | 33 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Darnell Nurse | D | 29 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | ||
Jake DeBrusk | LW/RW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||
Jason Zucker | LW/RW | 32 | 3,875,000$ | 3,875,000$ | 3,875,000$ | UFA | |||||
Joel Edmundson | D | 30 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Marco Rossi | C | 22 | 925,000$ | 925,000$ | RFA | ||||||
Martin Fehervary | D | 24 | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | UFA |
Mikael Granlund | C/LW/RW | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Mike Matheson | D | 30 | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | UFA | ||||
Ryan Pulock | D | 29 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Stefan Noesen | RW | 31 | 800,000$ | 800,000$ | UFA | ||||||
Teuvo Teravainen | LW/RW | 29 | 5,400,000$ | 5,400,000$ | UFA | ||||||
Wyatt Johnston | C | 20 | 894,167$ | 894,167$ | 894,167$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Alex Belzile | C/LW/RW | 32 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Antonio Stranges | C/LW | 22 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Antti Saarela | C | 22 | 0$ | RFA | |||||||
Beck Malenstyn | C/LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Ben Hutton | D | 30 | 950,000$ | 950,000$ | 950,000$ | UFA | |||||
Brad Malone | C | 34 | 775,000$ | 775,000$ | UFA | ||||||
Byron Froese | C/RW | 33 | 800,000$ | 800,000$ | UFA | ||||||
Chad Ruhwedel | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
Charlie Lindgren | G | 30 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Chris Tierney | C/LW | 29 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
Cole Krygier | D | 25 | 837,500$ | 837,500$ | 837,500$ | UFA | |||||
David Spacek | D | 21 | 0$ | RFA | |||||||
Donovan Sebrango | D | 22 | 850,000$ | 850,000$ | RFA | ||||||
Drew O'Connor | LW | 25 | 0$ | RFA | |||||||
Eetu Liukas | LW | 21 | 0$ | RFA | |||||||
Elmer Soderblom | C/RW | 22 | 878,333$ | 878,333$ | 878,333$ | RFA | |||||
Gabriel Bourque | LW/RW | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Haydn Fleury | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jakub Dobes | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
Jaxsen Wiebe | C | 21 | 852,500$ | 852,500$ | 852,500$ | 852,500$ | RFA | ||||
Jimmy Vesey | LW/RW | 30 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
John Parker-Jones | RW/D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Justin Dowling | C/LW/RW | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Leo Loof | D | 21 | 0$ | RFA | |||||||
Liam O'Brien | LW | 29 | 800,000$ | 800,000$ | UFA | ||||||
Matt Villalta | G | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Max Sasson | C | 23 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Mitchell Gibson | G | 24 | 867,500$ | 867,500$ | RFA | ||||||
Nicolas Beaudin | D | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Nikita Chibrikov | LW | 21 | 0$ | RFA | |||||||
Ole Bjorgvik-Holm | D | 21 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Patrik Koch | D | 27 | 847,500$ | 847,500$ | UFA | ||||||
Ryder Rolston | C | 22 | 0$ | RFA | |||||||
Scott Sabourin | RW | 31 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Spencer Stastney | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Thomas Bordeleau | C | 22 | 916,667$ | 916,667$ | RFA | ||||||
Ty Glover | C | 23 | 859,167$ | 859,167$ | RFA | ||||||
Uvis Balinskis | D | 27 | 870,000$ | 870,000$ | UFA | ||||||
Waltteri Merela | RW | 25 | 870,000$ | 870,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | Flames | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 7 | 4 | 2 | 0 | 19 | 11 | 4 | 22 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 23 | 16 | 24 | 7 | 12 | 6 | 100.0% | 7.7% | 100.0% | 107.7 | DULL |
2 | Flyers | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 1 | 1 | 0 | 1 | 54 | 13 | 21 | 19 | 1 | 43 | 18 | 16 | 43 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 47 | 31 | 49 | 15 | 24 | 12 | 60.0% | 5.6% | 93.0% | 98.6 | DULL |
3 | Devils | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 2 | 0 | 66 | 26 | 22 | 18 | 0 | 77 | 16 | 8 | 43 | 7 | 2 | 28.57% | 4 | 1 | 75.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 48 | 36 | 46 | 13 | 24 | 11 | 38.5% | 10.6% | 88.3% | 98.9 | FUN |
4 | Senators | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 2 | 1 | 76 | 22 | 31 | 22 | 1 | 62 | 20 | 6 | 30 | 8 | 1 | 12.50% | 3 | 0 | 100.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 49 | 35 | 45 | 14 | 26 | 12 | 71.4% | 7.9% | 96.8% | 104.7 | DULL |
5 | Islanders | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 4 | 2 | 1 | 0 | 66 | 28 | 20 | 18 | 0 | 76 | 27 | 20 | 36 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 45 | 31 | 50 | 15 | 23 | 11 | 42.9% | 10.6% | 86.8% | 97.4 | FUN |
6 | Hurricanes | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 6 | 10 | 0 | 0 | 3 | 1 | 0 | 0 | 62 | 15 | 19 | 28 | 0 | 57 | 18 | 19 | 30 | 12 | 1 | 8.33% | 7 | 0 | 100.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 49 | 34 | 46 | 15 | 24 | 12 | 60.0% | 6.5% | 96.5% | 102.9 | DULL |
7 | Avalanche | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 15 | 12 | 3 | 4 | 0.667 | 15 | 27 | 42 | 0 | 0 | 8 | 2 | 4 | 1 | 100 | 38 | 29 | 30 | 3 | 108 | 15 | 22 | 68 | 8 | 3 | 37.50% | 9 | 2 | 77.78% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 73 | 51 | 71 | 21 | 39 | 20 | 54.5% | 15.0% | 88.9% | 103.9 | FUN |
8 | Rangers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 3 | 2 | 3 | 0 | 66 | 23 | 22 | 21 | 0 | 60 | 14 | 16 | 43 | 9 | 2 | 22.22% | 8 | 1 | 87.50% | 1 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 55 | 39 | 40 | 13 | 23 | 12 | 66.7% | 12.1% | 93.3% | 105.5 | LUCKY |
9 | Red Wings | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 1 | 0 | 54 | 23 | 12 | 19 | 0 | 55 | 14 | 6 | 46 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 50 | 35 | 43 | 13 | 25 | 13 | 55.6% | 9.3% | 92.7% | 102.0 | LUCKY |
10 | Canadiens | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 1 | 6 | 4 | 0 | 63 | 22 | 23 | 18 | 0 | 47 | 8 | 6 | 39 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 51 | 37 | 42 | 13 | 25 | 13 | 71.4% | 17.5% | 91.5% | 108.9 | LUCKY |
11 | Capitals | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 4 | 1.000 | 11 | 22 | 33 | 0 | 0 | 7 | 3 | 1 | 0 | 79 | 25 | 28 | 26 | 0 | 53 | 12 | 16 | 49 | 9 | 1 | 11.11% | 7 | 1 | 85.71% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 51 | 37 | 44 | 14 | 23 | 12 | 76.9% | 13.9% | 92.5% | 106.4 | LUCKY |
12 | Wild | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 70 | 25 | 19 | 26 | 0 | 67 | 19 | 10 | 50 | 6 | 1 | 16.67% | 4 | 2 | 50.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 47 | 33 | 46 | 14 | 25 | 13 | 22.2% | 4.3% | 86.6% | 90.9 | Unlucky |
13 | Canucks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 5 | 4 | 1 | 0 | 85 | 34 | 30 | 21 | 0 | 53 | 13 | 27 | 30 | 12 | 2 | 16.67% | 6 | 3 | 50.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 52 | 37 | 43 | 13 | 24 | 13 | 88.9% | 11.8% | 92.5% | 104.2 | LUCKY |
14 | Kings | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 7 | 12 | 1 | 0 | 1 | 2 | 2 | 0 | 64 | 29 | 22 | 13 | 0 | 93 | 21 | 20 | 48 | 9 | 1 | 11.11% | 10 | 3 | 70.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 47 | 32 | 48 | 13 | 24 | 11 | 33.3% | 7.8% | 88.2% | 96.0 | Unlucky |
15 | Predators | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 10 | 1 | 3 | 0.500 | 11 | 18 | 29 | 0 | 0 | 6 | 2 | 3 | 0 | 91 | 30 | 31 | 30 | 0 | 72 | 26 | 38 | 46 | 8 | 0 | 0.00% | 18 | 3 | 83.33% | 2 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 74 | 50 | 66 | 23 | 39 | 19 | 61.1% | 12.1% | 86.1% | 98.2 | FUN |
16 | Lightning | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 8 | 13 | 6 | 0 | 22 | 7 | 12 | 20 | 7 | 1 | 14.29% | 6 | 3 | 50.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 26 | 18 | 20 | 7 | 13 | 6 | 100.0% | 7.4% | 86.4% | 93.8 | Unlucky |
17 | Oilers | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 0.667 | 6 | 10 | 16 | 0 | 1 | 3 | 2 | 1 | 0 | 86 | 29 | 38 | 19 | 0 | 102 | 27 | 28 | 54 | 9 | 1 | 11.11% | 13 | 0 | 100.00% | 1 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 71 | 51 | 71 | 22 | 37 | 17 | 55.6% | 7.0% | 96.1% | 103.1 | DULL |
18 | Blues | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 5 | 0 | 3 | 0 | 61 | 28 | 17 | 16 | 0 | 58 | 16 | 12 | 41 | 8 | 3 | 37.50% | 6 | 0 | 100.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 49 | 35 | 46 | 13 | 23 | 12 | 41.7% | 13.1% | 87.9% | 101.0 | FUN |
19 | Coyotes | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 14 | 21 | 0 | 0 | 1 | 4 | 2 | 0 | 76 | 18 | 29 | 29 | 0 | 83 | 33 | 52 | 59 | 14 | 1 | 7.14% | 15 | 5 | 66.67% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 76 | 51 | 66 | 21 | 37 | 19 | 54.5% | 9.2% | 88.0% | 97.2 | FUN |
20 | Bruins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 4 | 1 | 3 | 0 | 64 | 17 | 21 | 26 | 0 | 62 | 11 | 22 | 46 | 10 | 2 | 20.00% | 11 | 1 | 90.91% | 2 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 50 | 35 | 44 | 14 | 24 | 12 | 60.0% | 12.5% | 91.9% | 104.4 | LUCKY |
21 | Sabres | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 3 | 2 | 1 | 1 | 74 | 29 | 21 | 20 | 4 | 59 | 21 | 12 | 57 | 10 | 5 | 50.00% | 5 | 2 | 60.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 48 | 33 | 48 | 15 | 28 | 13 | 28.6% | 9.5% | 88.1% | 97.6 | FUN |
22 | Blackhawks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 63 | 28 | 18 | 17 | 0 | 45 | 16 | 10 | 45 | 6 | 2 | 33.33% | 5 | 0 | 100.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 49 | 34 | 44 | 14 | 25 | 13 | 60.0% | 7.9% | 95.6% | 103.5 | DULL |
23 | Panthers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 4 | 0 | 3 | 0 | 60 | 25 | 14 | 21 | 0 | 50 | 27 | 18 | 41 | 8 | 4 | 50.00% | 6 | 2 | 66.67% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 51 | 35 | 43 | 13 | 24 | 12 | 75.0% | 11.7% | 94.0% | 105.7 | LUCKY |
24 | Blue Jackets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 2 | 3 | 2 | 0 | 54 | 20 | 16 | 18 | 0 | 57 | 20 | 32 | 36 | 7 | 2 | 28.57% | 9 | 4 | 55.56% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 44 | 30 | 50 | 15 | 25 | 12 | 50.0% | 13.0% | 84.2% | 97.2 | FUN |
25 | Jets | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 13 | 0 | 4 | 0.667 | 13 | 22 | 35 | 0 | 0 | 5 | 5 | 3 | 0 | 82 | 30 | 35 | 17 | 0 | 84 | 23 | 20 | 54 | 10 | 2 | 20.00% | 9 | 3 | 66.67% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 75 | 54 | 67 | 21 | 37 | 18 | 52.4% | 15.9% | 84.5% | 100.4 | FUN |
26 | Stars | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 2 | 3 | 4 | 0 | 101 | 29 | 37 | 35 | 0 | 94 | 27 | 27 | 66 | 11 | 2 | 18.18% | 9 | 1 | 88.89% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 75 | 53 | 67 | 20 | 37 | 19 | 58.3% | 8.9% | 93.6% | 102.5 | Unlucky |
27 | Maple Leafs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 16 | 24 | 0 | 1 | 3 | 2 | 3 | 0 | 73 | 20 | 26 | 27 | 0 | 44 | 17 | 23 | 39 | 7 | 1 | 14.29% | 9 | 0 | 100.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 50 | 35 | 45 | 14 | 24 | 12 | 77.8% | 11.0% | 95.5% | 106.4 | LUCKY |
28 | Penguins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 6 | 2 | 1 | 0 | 48 | 21 | 11 | 16 | 0 | 45 | 13 | 6 | 35 | 9 | 1 | 11.11% | 3 | 0 | 100.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 49 | 34 | 44 | 14 | 25 | 13 | 57.1% | 18.8% | 86.7% | 105.4 | FUN |
29 | Sharks | 4 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 10 | 17 | -7 | 2 | 0.250 | 10 | 19 | 29 | 0 | 0 | 3 | 2 | 5 | 0 | 141 | 40 | 36 | 62 | 3 | 110 | 36 | 18 | 93 | 23 | 2 | 8.70% | 9 | 2 | 77.78% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 106 | 76 | 86 | 27 | 50 | 26 | 34.8% | 7.1% | 84.5% | 91.6 | Unlucky |
30 | Golden Knights | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 6 | 1.000 | 13 | 24 | 37 | 0 | 0 | 4 | 4 | 5 | 0 | 98 | 31 | 38 | 29 | 0 | 62 | 24 | 20 | 68 | 14 | 4 | 28.57% | 9 | 1 | 88.89% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 77 | 53 | 63 | 22 | 38 | 20 | 69.2% | 13.3% | 91.9% | 105.2 | LUCKY |
31 | Kraken | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 23 | 6 | 9 | 8 | 0 | 26 | 7 | 8 | 21 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 25 | 17 | 21 | 6 | 13 | 6 | 50.0% | 13.0% | 84.6% | 97.7 | FUN |
_Vs Division | 16 | 8 | 6 | 0 | 0 | 2 | 0 | 0 | 48 | 45 | 3 | 18 | 0.563 | 48 | 87 | 135 | 1 | 2 | 17 | 16 | 15 | 0 | 510 | 176 | 177 | 154 | 3 | 465 | 139 | 125 | 336 | 71 | 10 | 14.08% | 52 | 10 | 80.77% | 1 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 404 | 285 | 359 | 114 | 200 | 102 | 52.1% | 9.4% | 90.3% | 99.7 | FUN | |
_Vs Conference | 37 | 18 | 15 | 0 | 1 | 3 | 0 | 0 | 119 | 114 | 5 | 41 | 0.554 | 119 | 213 | 332 | 1 | 2 | 48 | 34 | 36 | 1 | 1154 | 402 | 392 | 354 | 6 | 1076 | 314 | 316 | 765 | 142 | 24 | 16.90% | 127 | 26 | 79.53% | 3 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 925 | 649 | 836 | 264 | 466 | 237 | 51.9% | 10.3% | 89.4% | 99.7 | FUN | |
_Since Last GM Reset | 68 | 37 | 23 | 0 | 4 | 4 | 0 | 0 | 229 | 191 | 38 | 86 | 0.632 | 229 | 413 | 642 | 1 | 4 | 98 | 64 | 63 | 4 | 2140 | 739 | 712 | 677 | 12 | 1945 | 577 | 554 | 1398 | 269 | 49 | 18.22% | 228 | 44 | 80.70% | 6 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 1698 | 1193 | 1543 | 488 | 855 | 434 | 55.0% | 10.7% | 90.2% | 100.9 | FUN | |
Total | 68 | 37 | 23 | 0 | 4 | 4 | 0 | 0 | 229 | 191 | 38 | 86 | 0.632 | 229 | 413 | 642 | 1 | 4 | 98 | 64 | 63 | 4 | 2140 | 739 | 712 | 677 | 12 | 1945 | 577 | 554 | 1398 | 269 | 49 | 18.22% | 228 | 44 | 80.70% | 6 | 1236 | 2417 | 51.14% | 1099 | 2276 | 48.29% | 549 | 1087 | 50.51% | 1698 | 1193 | 1543 | 488 | 855 | 434 | 55.0% | 10.7% | 90.2% | 100.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 2417 |
Neutral Zone Start | 1087 |
Defensive Zone Start | 2276 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2884 |
Faceoffs Lost | 2896 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 21.3 | 20.31 |
3rd Period | 31.3 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 173 |
---|---|
PP Goal | 49 |
PK Goal | 6 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 22 | 19 |
Lost | 11 | 12 |
Overtime Lost | 1 | 3 |
PP Attempt | 269 |
---|---|
PP Goal | 49 |
PK Attempt | 228 |
PK Goal Against | 44 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 28.6 |
Goals For | 3.4 |
Goals Against | 2.8 |
Hits | 20.6 |
Shots Blocked | 8.5 |
Pim | 8.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-14 | Ducks | @ | Golden Knights | Ducks4,Golden Knights2 | RECAP | |||||||||
2023-10-15 | Hurricanes | @ | Ducks | Hurricanes1,Ducks2 | RECAP | |||||||||
2023-10-19 | Stars | @ | Ducks | Stars2,Ducks1 | RECAP | |||||||||
2023-10-21 | Ducks | @ | Coyotes | Ducks2,Coyotes4 | RECAP | |||||||||
2023-10-22 | Bruins | @ | Ducks | Bruins2,Ducks3 | RECAP | |||||||||
2023-10-24 | Ducks | @ | Blue Jackets | Ducks2,Blue Jackets5 | RECAP | |||||||||
2023-10-26 | Ducks | @ | Bruins | Ducks5,Bruins3 | RECAP | |||||||||
2023-10-28 | Ducks | @ | Flyers | Ducks2,Flyers3 | RECAP | |||||||||
2023-10-30 | Ducks | @ | Penguins | Ducks7,Penguins3 | RECAP | |||||||||
2023-11-01 | Coyotes | @ | Ducks | Coyotes4,Ducks0 | RECAP | |||||||||
2023-11-05 | Golden Knights | @ | Ducks | Golden Knights1,Ducks3 | RECAP | |||||||||
2023-11-07 | Penguins | @ | Ducks | Penguins3,Ducks2 | RECAP | |||||||||
2023-11-10 | Flyers | @ | Ducks | Flyers0,Ducks1 (OT) | RECAP | |||||||||
2023-11-12 | Sharks | @ | Ducks | Sharks3,Ducks2 (OT) | RECAP | |||||||||
2023-11-14 | Ducks | @ | Predators | Ducks4,Predators1 | RECAP | |||||||||
2023-11-15 | Ducks | @ | Avalanche | Ducks8,Avalanche4 | RECAP | |||||||||
2023-11-17 | Panthers | @ | Ducks | Panthers1,Ducks3 | RECAP | |||||||||
2023-11-19 | Blues | @ | Ducks | Blues1,Ducks3 | RECAP | |||||||||
2023-11-22 | Canadiens | @ | Ducks | Canadiens2,Ducks6 | RECAP | |||||||||
2023-11-24 | Kings | @ | Ducks | Kings4,Ducks2 | RECAP | |||||||||
2023-11-26 | Ducks | @ | Oilers | Ducks3,Oilers0 | RECAP | |||||||||
2023-11-28 | Ducks | @ | Canucks | Ducks6,Canucks3 | RECAP | |||||||||
2023-11-30 | Capitals | @ | Ducks | Capitals3,Ducks4 | RECAP | |||||||||
2023-12-02 | Avalanche | @ | Ducks | Avalanche4,Ducks2 | RECAP | |||||||||
2023-12-05 | Ducks | @ | Avalanche | Ducks5,Avalanche4 (OT) | RECAP | |||||||||
2023-12-07 | Ducks | @ | Blackhawks | Ducks2,Blackhawks1 | RECAP | |||||||||
2023-12-10 | Jets | @ | Ducks | Jets2,Ducks6 | RECAP | |||||||||
2023-12-13 | Ducks | @ | Islanders | Ducks2,Islanders4 | RECAP | |||||||||
2023-12-15 | Ducks | @ | Rangers | Ducks3,Rangers2 | RECAP | |||||||||
2023-12-17 | Ducks | @ | Devils | Ducks3,Devils7 | RECAP | |||||||||
2023-12-18 | Ducks | @ | Red Wings | Ducks4,Red Wings1 | RECAP | |||||||||
2023-12-21 | Flames | @ | Ducks | Flames0,Ducks1 | RECAP | |||||||||
2023-12-23 | Kraken | @ | Ducks | Kraken4,Ducks3 | RECAP | |||||||||
2023-12-27 | Golden Knights | @ | Ducks | Golden Knights2,Ducks6 | RECAP | |||||||||
2023-12-29 | Coyotes | @ | Ducks | Coyotes2,Ducks5 | RECAP | |||||||||
2023-12-31 | Oilers | @ | Ducks | Oilers1,Ducks2 | RECAP | |||||||||
2024-01-03 | Maple Leafs | @ | Ducks | Maple Leafs0,Ducks2 | RECAP | |||||||||
2024-01-05 | Jets | @ | Ducks | Jets2,Ducks3 | RECAP | |||||||||
2024-01-07 | Red Wings | @ | Ducks | Red Wings3,Ducks1 | RECAP | |||||||||
2024-01-09 | Ducks | @ | Predators | Ducks2,Predators3 (OT) | RECAP | |||||||||
2024-01-11 | Ducks | @ | Hurricanes | Ducks2,Hurricanes1 | RECAP | |||||||||
2024-01-13 | Ducks | @ | Lightning | Ducks2,Lightning3 | RECAP | |||||||||
2024-01-15 | Ducks | @ | Panthers | Ducks4,Panthers2 | RECAP | |||||||||
2024-01-16 | Ducks | @ | Capitals | Ducks7,Capitals1 | RECAP | |||||||||
2024-01-20 | Ducks | @ | Sharks | Ducks1,Sharks2 | RECAP | |||||||||
2024-01-21 | Rangers | @ | Ducks | Rangers2,Ducks5 | RECAP | |||||||||
2024-01-23 | Sabres | @ | Ducks | Sabres2,Ducks3 (OT) | RECAP | |||||||||
2024-01-25 | Ducks | @ | Stars | Ducks2,Stars1 | RECAP | |||||||||
2024-01-27 | Ducks | @ | Wild | Ducks0,Wild3 | RECAP | |||||||||
2024-01-31 | Sharks | @ | Ducks | Sharks6,Ducks2 | RECAP | |||||||||
2024-02-09 | Oilers | @ | Ducks | Oilers3,Ducks1 | RECAP | |||||||||
2024-02-13 | Ducks | @ | Canadiens | Ducks5,Canadiens2 | RECAP | |||||||||
2024-02-15 | Ducks | @ | Senators | Ducks4,Senators1 | RECAP | |||||||||
2024-02-17 | Ducks | @ | Maple Leafs | Ducks6,Maple Leafs2 | RECAP | |||||||||
2024-02-19 | Ducks | @ | Sabres | Ducks4,Sabres5 (OT) | RECAP | |||||||||
2024-02-21 | Blue Jackets | @ | Ducks | Blue Jackets4,Ducks5 | RECAP | |||||||||
2024-02-24 | Ducks | @ | Kings | Ducks3,Kings7 | RECAP | |||||||||
2024-02-25 | Predators | @ | Ducks | Predators6,Ducks5 | RECAP | |||||||||
2024-02-29 | Ducks | @ | Sharks | Ducks5,Sharks6 (OT) | RECAP | |||||||||
2024-03-01 | Devils | @ | Ducks | Devils2,Ducks4 | RECAP | |||||||||
2024-03-03 | Canucks | @ | Ducks | Canucks1,Ducks4 | RECAP | |||||||||
2024-03-06 | Senators | @ | Ducks | Senators1,Ducks2 (OT) | RECAP | |||||||||
2024-03-08 | Stars | @ | Ducks | Stars3,Ducks6 | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-03-10 | Islanders | @ | Ducks | Islanders6,Ducks5 | RECAP | |||||||||
2024-03-12 | Ducks | @ | Blackhawks | Ducks3,Blackhawks1 | RECAP | |||||||||
2024-03-14 | Ducks | @ | Wild | Ducks3,Wild6 | RECAP | |||||||||
2024-03-15 | Ducks | @ | Jets | Ducks4,Jets9 | RECAP | |||||||||
2024-03-17 | Ducks | @ | Blues | Ducks5,Blues6 | RECAP | |||||||||
2024-03-19 | Wild | @ | Ducks | |||||||||||
2024-03-21 | Blackhawks | @ | Ducks | |||||||||||
2024-03-24 | Lightning | @ | Ducks | |||||||||||
2024-03-26 | Ducks | @ | Kraken | |||||||||||
2024-03-28 | Ducks | @ | Kraken | |||||||||||
2024-03-30 | Ducks | @ | Oilers | |||||||||||
2024-03-31 | Ducks | @ | Canucks | |||||||||||
2024-04-02 | Ducks | @ | Flames | |||||||||||
2024-04-05 | Kraken | @ | Ducks | |||||||||||
2024-04-07 | Blues | @ | Ducks | |||||||||||
2024-04-09 | Kings | @ | Ducks | |||||||||||
2024-04-12 | Flames | @ | Ducks | |||||||||||
2024-04-13 | Ducks | @ | Kings | |||||||||||
2024-04-18 | Ducks | @ | Golden Knights |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
83,373,810$ | 0$ | 83,373,888$ | 126,190$ |
Arena | Goal Horn | About us | |
---|---|---|---|
Name | Honda Center | ||
City | Anaheim | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 194805 | 163892 | 65411 | 130249 | 32672 |
Attendance PCT | 95.49% | 96.41% | 96.19% | 95.77% | 96.09% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 17266 - 95.92% | 1,556,300$ | 52,914,200$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
83,373,810$ | 83,373,810$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
70,311,520$ | 434,239$ | 69,478,240$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,894,100$ | 32 | 439,447$ | 14,062,304$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
14,667,454$ | 83,373,810$ | 65,670,516$ | 61,897,162$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2024 | ||||||||
2025 | ||||||||
2026 | ||||||||
2027 | ||||||||
2028 |
Priority | Type | Description |
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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. |
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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. |
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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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Albert Wikman | Ducks | 2023 | 120 | ||
Andre Gasseau | Ducks | 2021 | 181 | ||
Arseni Sergeev | Ducks | 2021 | 149 | ||
Calle Odelius | Ducks | 2022 | 32 | ||
Dylan Roobroeck | Ducks | 2023 | 160 | ||
Francesco Arcuri | Ducks | 2021 | 213 | ||
Grant Slukynsky | Ducks | 2020 | 190 | ||
Jacob Truscott | Ducks | 2020 | 183 | ||
Jaden Lipinski | Ducks | 2023 | 115 | ||
Juraj Pekarcik | Ducks | 2023 | 83 | ||
Kalem Parker | Ducks | 2023 | 179 | ||
Kristian Kostadinski | Ducks | 2023 | 211 | ||
Maxim Barbashev | Ducks | 2022 | 165 | ||
Maximilian Glotzl | Ducks | 2020 | 215 | ||
Nate Danielson | Ducks | 2023 | 19 | ||
Oskar Jellvik | Ducks | 2021 | 171 | ||
Paul Fischer | Ducks | 2023 | 147 | ||
Quentin Miller | Ducks | 2023 | 91 | ||
Rody Ross | Ducks | 2019 | 183 | ||
Stephen Halliday | Ducks | 2020 | 201 | ||
Ty Henricks | Ducks | 2023 | 185 | ||
Ty Murchison | Ducks | 2021 | 163 |
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