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Full Scoreboard »» |
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Full Scoreboard »» |
Anaheim Ducks 40-21-8, 88pts · 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 | 100.00 | 66 | 33 | 85 | 99 | 76 | 92 | 90 | 95 | 83 | 96 | 99 | 79 | 97 | 70 | 84 | 0 | 75 | 99 | 26 | 12,500,000$/4yrs | |||
![]() | 9 | C/LW/RW | 99.00 | 58 | 32 | 85 | 85 | 68 | 89 | 87 | 82 | 60 | 83 | 84 | 73 | 83 | 67 | 65 | 0 | 75 | 89 | 24 | 7,000,000$/5yrs | |||
![]() | 74 | LW/RW | 100.00 | 73 | 33 | 94 | 84 | 76 | 83 | 90 | 80 | 58 | 78 | 84 | 75 | 82 | 70 | 69 | 0 | 75 | 89 | 26 | 4,500,000$/5yrs | |||
![]() | 13 | RW | 99.00 | 58 | 31 | 94 | 79 | 65 | 86 | 81 | 77 | 58 | 77 | 79 | 81 | 78 | 83 | 82 | 0 | 64 | 87 | 33 | 5,875,000$/3yrs | |||
![]() | 64 | C/LW/RW | 100.00 | 72 | 34 | 88 | 73 | 70 | 89 | 90 | 75 | 82 | 85 | 68 | 81 | 72 | 78 | 84 | 0 | 78 | 86 | 31 | 5,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 86 | 36 | 78 | 73 | 71 | 81 | 90 | 76 | 58 | 74 | 82 | 65 | 79 | 78 | 76 | 0 | 61 | 85 | 31 | 5,500,000$/1yrs | |||
![]() | 86 | LW/RW | 100.00 | 57 | 32 | 89 | 78 | 73 | 84 | 87 | 76 | 61 | 82 | 75 | 75 | 75 | 73 | 72 | 0 | 75 | 85 | 28 | 5,400,000$/2yrs | |||
![]() | 73 | LW/RW | 100.00 | 88 | 33 | 91 | 69 | 83 | 78 | 90 | 69 | 60 | 72 | 69 | 86 | 69 | 72 | 71 | 0 | 75 | 84 | 27 | 1,300,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 82 | 33 | 92 | 69 | 79 | 80 | 90 | 69 | 85 | 72 | 69 | 87 | 69 | 75 | 74 | 0 | 66 | 84 | 29 | 2,857,143$/4yrs | |||
![]() | 38 | C/LW | 100.00 | 70 | 36 | 86 | 68 | 84 | 79 | 84 | 69 | 78 | 69 | 73 | 85 | 71 | 81 | 79 | 0 | 60 | 83 | 32 | 1,500,000$/1yrs | |||
![]() | 22 | C/LW/RW | 100.00 | 66 | 43 | 81 | 69 | 76 | 75 | 74 | 71 | 77 | 76 | 71 | 76 | 71 | 79 | 77 | 0 | 73 | 82 | 31 | 750,000$/1yrs | |||
![]() | 16 | LW/RW | 100.00 | 73 | 33 | 95 | 68 | 82 | 77 | 90 | 68 | 58 | 68 | 71 | 82 | 69 | 75 | 75 | 0 | 75 | 82 | 29 | 925,000$/3yrs | |||
![]() | 0 | D | 99.00 | 86 | 34 | 73 | 74 | 89 | 96 | 88 | 75 | 30 | 77 | 70 | 95 | 72 | 73 | 79 | 0 | 67 | 91 | 28 | 6,250,000$/6yrs | |||
![]() | 19 | D | 100.00 | 71 | 40 | 76 | 75 | 77 | 95 | 79 | 73 | 30 | 80 | 74 | 90 | 74 | 75 | 72 | 0 | 75 | 89 | 29 | 4,875,000$/4yrs | |||
![]() | 6 | D | 99.00 | 77 | 34 | 95 | 68 | 85 | 90 | 85 | 72 | 30 | 75 | 65 | 86 | 68 | 73 | 72 | 0 | 77 | 86 | 28 | 5,000,000$/2yrs | |||
![]() | 42 | D | 100.00 | 74 | 42 | 67 | 64 | 90 | 89 | 86 | 69 | 30 | 70 | 64 | 91 | 66 | 76 | 80 | 0 | 78 | 85 | 30 | 1,450,000$/1yrs | |||
![]() | 7 | D | 100.00 | 96 | 43 | 50 | 58 | 80 | 85 | 84 | 69 | 30 | 68 | 65 | 93 | 67 | 81 | 76 | 0 | 75 | 84 | 32 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 83 | 44 | 61 | 62 | 90 | 88 | 76 | 65 | 30 | 67 | 65 | 91 | 65 | 75 | 77 | 0 | 34 | 83 | 29 | 3,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 62 | 32 | 85 | 68 | 67 | 83 | 89 | 68 | 30 | 76 | 63 | 71 | 66 | 74 | 72 | 0 | 67 | 81 | 29 | 4,250,000$/4yrs | |||
![]() | 0 | D | 100.00 | 71 | 33 | 82 | 56 | 82 | 83 | 85 | 66 | 30 | 65 | 62 | 83 | 64 | 80 | 78 | 0 | 14 | 80 | 32 | 2,000,000$/3yrs | |||
TEAM AVERAGE | 99.80 | 73 | 36 | 82 | 72 | 78 | 85 | 86 | 73 | 53 | 76 | 73 | 82 | 73 | 75 | 76 | 0 | 67 | 86 |
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 | 92 | 95 | 82 | 89 | 94 | 87 | 94 | 94 | 92 | 96 | 94 | 81 | 85 | 0 | 57 | 94 | 32 | 5,500,000$/3yrs |
![]() | 5 | 100.00 | 93 | 87 | 78 | 74 | 88 | 82 | 89 | 91 | 83 | 92 | 89 | 74 | 79 | 0 | 41 | 89 | 29 | 1,200,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 93 | 91 | 80 | 82 | 91 | 85 | 92 | 93 | 88 | 94 | 92 | 78 | 82 | 0 | 49 | 92 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 75 | 82 | 95 | 81 | 75 | 69 | 82 | CAN | 49 | 2 | 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 | 97 | C | 69 | 34 | 37 | 71 | 6 | 18 | 0 | 160 | 319 | 86 | 210 | 10.66% | 10 | 20.39 | 8 | 9 | 17 | 205 | 0 | 0 | 0 | 1 | 11 | 3 | 51.20% | 1715 | 0 | 0 | 0 | 2 | 1.01 | 1 | 8 | |
2 | Clayton Keller | 9 | C/LW/RW | 69 | 25 | 37 | 62 | 15 | 12 | 0 | 45 | 228 | 68 | 175 | 10.96% | 9 | 20.49 | 5 | 4 | 9 | 202 | 0 | 0 | 0 | 68 | 3 | 4 | 39.07% | 151 | 0 | 0 | 0 | 0 | 0.88 | 3 | 8 | |
3 | Mikael Granlund | 64 | C/LW/RW | 69 | 22 | 36 | 58 | 15 | 43 | 5 | 139 | 179 | 49 | 120 | 12.29% | 23 | 21.38 | 3 | 10 | 13 | 174 | 0 | 0 | 0 | 147 | 3 | 0 | 48.98% | 1809 | 0 | 0 | 0 | 0 | 0.79 | 0 | 1 | |
4 | Jake DeBrusk | 74 | LW/RW | 69 | 16 | 36 | 52 | 19 | 27 | 5 | 79 | 197 | 70 | 143 | 8.12% | 7 | 17.08 | 5 | 5 | 10 | 138 | 0 | 0 | 0 | 2 | 2 | 2 | 49.40% | 83 | 0 | 0 | 0 | 0 | 0.88 | 0 | 1 | |
5 | Darnell Nurse | 0 | D | 68 | 11 | 30 | 41 | -15 | 79 | 5 | 164 | 111 | 39 | 81 | 9.91% | 87 | 23.74 | 7 | 6 | 13 | 204 | 0 | 1 | 1 | 169 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
6 | Teuvo Teravainen | 86 | LW/RW | 69 | 16 | 22 | 38 | 7 | 16 | 0 | 50 | 162 | 54 | 130 | 9.88% | 6 | 18.81 | 2 | 9 | 11 | 171 | 0 | 0 | 0 | 0 | 3 | 2 | 35.00% | 80 | 0 | 0 | 0 | 0 | 0.59 | 0 | 1 | |
7 | Cam Atkinson | 13 | RW | 66 | 16 | 20 | 36 | 5 | 14 | 0 | 39 | 193 | 62 | 114 | 8.29% | 9 | 20.33 | 2 | 8 | 10 | 193 | 0 | 0 | 0 | 36 | 5 | 0 | 36.36% | 110 | 0 | 0 | 0 | 0 | 0.54 | 1 | 7 | |
8 | Scott Mayfield | 42 | D | 69 | 10 | 26 | 36 | 7 | 55 | 15 | 115 | 101 | 23 | 49 | 9.90% | 82 | 21.08 | 5 | 6 | 11 | 186 | 0 | 1 | 1 | 162 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
9 | Ryan Pulock | 6 | D | 69 | 5 | 26 | 31 | -8 | 30 | 10 | 64 | 81 | 20 | 53 | 6.17% | 86 | 22.79 | 2 | 8 | 10 | 191 | 0 | 0 | 0 | 186 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
10 | Mike Matheson | 19 | D | 69 | 6 | 23 | 29 | 21 | 8 | 0 | 29 | 44 | 24 | 34 | 13.64% | 54 | 18.98 | 1 | 5 | 6 | 184 | 0 | 0 | 0 | 8 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
11 | Radko Gudas | 7 | D | 69 | 3 | 23 | 26 | 22 | 110 | 0 | 212 | 43 | 11 | 34 | 6.98% | 99 | 18.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
12 | Adam Erne | 73 | LW/RW | 69 | 7 | 12 | 19 | 2 | 16 | 0 | 103 | 114 | 33 | 57 | 6.14% | 6 | 11.97 | 0 | 0 | 0 | 14 | 1 | 0 | 1 | 142 | 0 | 1 | 44.07% | 59 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
13 | Derek Grant | 38 | C/LW | 63 | 9 | 9 | 18 | -3 | 13 | 5 | 22 | 98 | 34 | 77 | 9.18% | 8 | 12.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 152 | 1 | 0 | 50.59% | 425 | 0 | 0 | 0 | 0 | 0.45 | 1 | 1 | |
14 | Jason Zucker | 0 | LW/RW | 66 | 3 | 15 | 18 | -1 | 27 | 5 | 155 | 106 | 29 | 85 | 2.83% | 2 | 16.91 | 0 | 2 | 2 | 143 | 0 | 0 | 0 | 17 | 0 | 0 | 48.15% | 108 | 0 | 0 | 0 | 0 | 0.32 | 0 | 2 | |
15 | Joel Edmundson | 0 | D | 66 | 2 | 14 | 16 | 5 | 70 | 0 | 192 | 68 | 11 | 49 | 2.94% | 88 | 17.90 | 1 | 0 | 1 | 76 | 0 | 3 | 3 | 188 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
16 | Colton Sissons | 0 | C/LW/RW | 68 | 6 | 4 | 10 | 1 | 20 | 0 | 48 | 67 | 20 | 44 | 8.96% | 6 | 12.31 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 180 | 3 | 0 | 55.02% | 1025 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
17 | Jimmy Vesey | 16 | LW/RW | 69 | 6 | 3 | 9 | 0 | 6 | 0 | 28 | 44 | 8 | 25 | 13.64% | 7 | 5.96 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 12 | 2 | 0 | 34.78% | 23 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
18 | Matt Grzelcyk | 0 | D | 63 | 2 | 6 | 8 | -2 | 10 | 0 | 37 | 13 | 5 | 24 | 15.38% | 50 | 17.44 | 0 | 1 | 1 | 55 | 0 | 0 | 0 | 47 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
19 | Jan Rutta | 0 | D | 21 | 0 | 3 | 3 | 0 | 8 | 0 | 14 | 0 | 0 | 6 | 0.00% | 14 | 15.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
20 | Alex Belzile | 22 | C/LW/RW | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 4 | 2 | 6 | 0.00% | 0 | 6.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1245 | 199 | 382 | 581 | 96 | 584 | 50 | 1696 | 2172 | 648 | 1516 | 9.16% | 653 | 17.63 | 41 | 73 | 114 | 2149 | 1 | 5 | 6 | 1705 | 37 | 15 | 50.04% | 5589 | 0 | 0 | 0 | 2 | 0.53 | 6 | 29 |
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 | 52 | 31 | 12 | 7 | 0.913 | 2.42 | 3077 | 4 | 5 | 124 | 1433 | 0 | 1 | 0 | 0.762 | 21 | 51 | 17 | 6 | 6 | 4 | |
2 | Charlie Lindgren | 14 | 7 | 7 | 0 | 0.899 | 2.70 | 777 | 0 | 2 | 35 | 348 | 0 | 0 | 0 | 1.000 | 3 | 13 | 31 | 1 | 1 | 0 | |
Team Total or Average | 66 | 38 | 19 | 7 | 0.911 | 2.48 | 3854 | 4 | 7 | 159 | 1781 | 0 | 1 | 0 | 0.792 | 24 | 64 | 48 | 7 | 7 | 4 |
Projected Total Cap Hit | 80,968,043$ |
Projected Cap Space | 1,531,957$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 69,002,750$ |
Players In Salary Cap | 21 |
LTIR Players | 1 |
Ducks Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne | LW/RW | 27 | 1,300,000$ | 1,300,000$ | UFA | ||||||
Alex Belzile ![]() | C/LW/RW | 31 | 750,000$ | 750,000$ | UFA | ||||||
Cam Atkinson ![]() | RW | 33 | 5,875,000$ | 5,875,000$ | 5,875,000$ | 5,875,000$ | UFA | ||||
Charlie Lindgren ![]() | G | 29 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Clayton Keller | C/LW/RW | 24 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | ||
Colton Sissons | C/LW/RW | 29 | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | UFA | |||
Connor McDavid | C | 26 | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | 12,500,000$ | UFA | |||
Darcy Kuemper | G | 32 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||||
Darnell Nurse | D | 28 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |
Derek Grant | C/LW | 32 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Jake DeBrusk | LW/RW | 26 | 4,500,000$ | 4,500,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||
Jan Rutta | D | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Jason Zucker | LW/RW | 31 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Jimmy Vesey ![]() | LW/RW | 29 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | UFA | ||||
Joel Edmundson | D | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Matt Grzelcyk | D | 29 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||
Mikael Granlund | C/LW/RW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Mike Matheson | D | 29 | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | UFA | |||
Radko Gudas | D | 32 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Ryan Pulock | D | 28 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Scott Mayfield | D | 30 | 1,450,000$ | 1,450,000$ | UFA | ||||||
Teuvo Teravainen | LW/RW | 28 | 5,400,000$ | 5,400,000$ | 5,400,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Antonio Stranges ![]() | C/LW | 21 | 846,667$ | 846,667$ | 846,667$ | 846,667$ | RFA | ||||
Arvid Holm ![]() | G | 24 | 845,833$ | 845,833$ | RFA | ||||||
Arvid Soderblom ![]() ![]() | G | 23 | 883,750$ | 883,750$ | RFA | ||||||
Austin Rueschhoff ![]() | RW | 25 | 842,500$ | 842,500$ | ![]() | ||||||
Ben Hutton ![]() | D | 29 | 825,000$ | 825,000$ | UFA | ||||||
Brad Malone ![]() ![]() | C | 33 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Byron Froese ![]() | C/RW | 32 | 750,000$ | 750,000$ | UFA | ||||||
Chad Ruhwedel ![]() ![]() | D | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Chris Tierney ![]() ![]() | C/LW | 28 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Dakota Joshua ![]() | C/LW | 26 | 785,000$ | 785,000$ | 785,000$ | UFA | |||||
Donovan Sebrango ![]() | D | 21 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Elmer Soderblom ![]() | C/RW | 21 | 878,333$ | 878,333$ | 878,333$ | 878,333$ | RFA | ||||
Gerald Mayhew ![]() | C/RW | 30 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Haydn Fleury ![]() | D | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Hunter Drew ![]() | D | 24 | 793,333$ | 793,333$ | RFA | ||||||
Jaxsen Wiebe ![]() | C | 20 | 852,500$ | 852,500$ | 852,500$ | 852,500$ | 852,500$ | RFA | |||
Joachim Blichfeld ![]() | LW/RW | 24 | 950,000$ | 950,000$ | RFA | ||||||
John Parker-Jones ![]() | RW/D | 22 | 750,000$ | 750,000$ | RFA | ||||||
Liam O'Brien ![]() | LW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Marco Rossi ![]() | C | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Mark Jankowski ![]() | C/LW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Martin Fehervary ![]() | D | 23 | 791,667$ | 791,667$ | RFA | ||||||
Matt Villalta ![]() | G | 23 | 778,333$ | 778,333$ | RFA | ||||||
Nicolas Beaudin ![]() | D | 23 | 863,333$ | 863,333$ | RFA | ||||||
Ole Bjorgvik-Holm ![]() | D | 20 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | RFA | ||||
Ryan Shea ![]() | D | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Sami Niku ![]() | D | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Seth Barton ![]() | D | 23 | 832,500$ | 832,500$ | 832,500$ | RFA | |||||
Spencer Stastney ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Stefan Noesen ![]() ![]() | RW | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tanner Kero ![]() | C/LW/RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Thomas Bordeleau ![]() | C | 21 | 750,000$ | 750,000$ | RFA | ||||||
Ty Glover ![]() | C | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Wyatt Johnston ![]() | C | 19 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Zachary Emond ![]() | G | 22 | 786,667$ | 786,667$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 1 | 4 | 2 | 0 | 60 | 16 | 17 | 27 | 0 | 41 | 11 | 17 | 47 | 8 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 52 | 35 | 42 | 14 | 25 | 13 | 70.0% | 11.7% | 90.2% | 101.9 | FUN | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 1 | 1 | 4 | 1 | 0 | 49 | 19 | 15 | 15 | 0 | 55 | 22 | 16 | 45 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 46 | 30 | 49 | 15 | 24 | 12 | 66.7% | 12.2% | 92.7% | 105.0 | LUCKY | |
3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 2 | 1 | 51 | 19 | 18 | 13 | 1 | 76 | 19 | 17 | 29 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 47 | 33 | 49 | 13 | 25 | 12 | 37.5% | 5.9% | 92.1% | 98.0 | DULL | |
4 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 3 | 1 | 58 | 19 | 18 | 18 | 3 | 50 | 19 | 19 | 48 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 53 | 38 | 43 | 13 | 25 | 13 | 55.6% | 8.6% | 90.0% | 98.6 | Unlucky | |
5 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 4 | 0 | 50 | 16 | 11 | 21 | 2 | 59 | 21 | 47 | 25 | 5 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 48 | 34 | 47 | 13 | 25 | 12 | 50.0% | 10.0% | 88.1% | 98.1 | FUN | |
6 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 4 | 2 | 3 | 0.750 | 6 | 11 | 17 | 0 | 1 | 2 | 2 | 2 | 0 | 64 | 27 | 17 | 16 | 4 | 48 | 21 | 10 | 38 | 9 | 2 | 22.22% | 5 | 1 | 80.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 52 | 36 | 45 | 14 | 26 | 13 | 57.1% | 9.4% | 91.7% | 101.0 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 5 | 0 | 0 | 34 | 10 | 15 | 9 | 0 | 19 | 7 | 2 | 26 | 3 | 2 | 66.67% | 1 | 1 | 0.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 26 | 19 | 20 | 6 | 13 | 7 | 60.0% | 14.7% | 84.2% | 98.9 | FUN | |
8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 4 | 5 | 0 | 0 | 45 | 13 | 18 | 14 | 0 | 63 | 20 | 16 | 41 | 5 | 2 | 40.00% | 8 | 0 | 100.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 46 | 31 | 47 | 15 | 26 | 13 | 63.6% | 20.0% | 93.7% | 113.7 | LUCKY | |
9 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 2 | 1 | 3 | 0.750 | 3 | 6 | 9 | 0 | 1 | 1 | 1 | 1 | 0 | 66 | 20 | 22 | 24 | 3 | 66 | 21 | 10 | 44 | 10 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 55 | 39 | 43 | 16 | 26 | 13 | 60.0% | 4.5% | 97.0% | 101.5 | DULL | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 0 | 71 | 23 | 28 | 20 | 0 | 43 | 13 | 16 | 37 | 6 | 1 | 16.67% | 8 | 3 | 62.50% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 48 | 33 | 44 | 14 | 26 | 13 | 80.0% | 12.7% | 88.4% | 101.0 | FUN | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 2 | 0 | 0 | 63 | 21 | 22 | 20 | 0 | 52 | 22 | 10 | 42 | 11 | 2 | 18.18% | 4 | 0 | 100.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 55 | 41 | 40 | 13 | 23 | 12 | 33.3% | 7.9% | 88.5% | 96.4 | Unlucky | |
12 | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 15 | 11 | 4 | 6 | 1.000 | 15 | 29 | 44 | 0 | 0 | 6 | 6 | 1 | 2 | 94 | 25 | 33 | 31 | 5 | 89 | 26 | 16 | 74 | 9 | 5 | 55.56% | 7 | 1 | 85.71% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 73 | 53 | 71 | 20 | 39 | 20 | 50.0% | 16.0% | 87.6% | 103.6 | FUN | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 60 | 21 | 22 | 17 | 0 | 50 | 22 | 14 | 48 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 48 | 33 | 44 | 13 | 26 | 13 | 27.3% | 6.7% | 84.0% | 90.7 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 46 | 11 | 13 | 22 | 0 | 67 | 25 | 22 | 44 | 7 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 43 | 29 | 53 | 14 | 23 | 12 | 66.7% | 8.7% | 95.5% | 104.2 | DULL | |
15 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 4 | 8 | 6 | 1.000 | 12 | 17 | 29 | 0 | 1 | 1 | 6 | 4 | 1 | 89 | 29 | 30 | 27 | 6 | 69 | 22 | 16 | 62 | 9 | 2 | 22.22% | 8 | 0 | 100.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 72 | 49 | 71 | 22 | 40 | 21 | 71.4% | 13.5% | 94.2% | 107.7 | LUCKY | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 1 | 1 | 2 | 4 | 0 | 61 | 19 | 18 | 24 | 0 | 38 | 8 | 10 | 24 | 5 | 2 | 40.00% | 5 | 0 | 100.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 47 | 33 | 46 | 14 | 25 | 12 | 62.5% | 11.5% | 92.1% | 103.6 | LUCKY | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 1 | 2 | 4 | 0 | 56 | 16 | 19 | 21 | 0 | 56 | 10 | 15 | 33 | 8 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 46 | 32 | 48 | 15 | 24 | 12 | 53.8% | 12.5% | 85.7% | 98.2 | FUN | |
18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 3 | 0 | 1 | 0 | 49 | 26 | 8 | 15 | 0 | 61 | 15 | 16 | 40 | 3 | 1 | 33.33% | 8 | 1 | 87.50% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 43 | 27 | 51 | 14 | 25 | 12 | 30.0% | 8.2% | 86.9% | 95.0 | Unlucky | |
19 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 67 | 27 | 13 | 20 | 10 | 59 | 20 | 16 | 40 | 12 | 1 | 8.33% | 8 | 2 | 75.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 55 | 39 | 43 | 14 | 25 | 13 | 37.5% | 6.0% | 88.1% | 94.1 | Unlucky | |
20 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 50 | 17 | 15 | 18 | 0 | 64 | 12 | 13 | 29 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 42 | 28 | 50 | 14 | 26 | 12 | 71.4% | 10.0% | 95.3% | 105.3 | LUCKY | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 2 | 2 | 2 | 0 | 61 | 19 | 16 | 26 | 0 | 74 | 18 | 16 | 48 | 6 | 1 | 16.67% | 8 | 0 | 100.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 43 | 28 | 50 | 15 | 26 | 13 | 45.5% | 9.8% | 91.9% | 101.7 | LUCKY | |
22 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 18 | 27 | 0 | 0 | 6 | 2 | 1 | 0 | 80 | 26 | 27 | 27 | 0 | 82 | 25 | 14 | 62 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 69 | 48 | 71 | 21 | 38 | 20 | 53.3% | 11.3% | 89.0% | 100.3 | FUN | |
23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 52 | 17 | 25 | 10 | 0 | 44 | 12 | 8 | 32 | 10 | 2 | 20.00% | 3 | 0 | 100.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 54 | 38 | 40 | 15 | 25 | 12 | 28.6% | 7.7% | 88.6% | 96.3 | Unlucky | |
24 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 9 | 15 | 0 | 1 | 2 | 1 | 2 | 1 | 54 | 18 | 15 | 16 | 8 | 56 | 16 | 20 | 52 | 3 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 49 | 33 | 48 | 14 | 26 | 13 | 85.7% | 11.1% | 96.4% | 107.5 | LUCKY | |
25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 6 | 1 | 0 | 0 | 58 | 29 | 14 | 15 | 0 | 67 | 14 | 14 | 39 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 51 | 36 | 44 | 13 | 24 | 12 | 54.5% | 12.1% | 91.0% | 103.1 | FUN | |
26 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 8 | 7 | 1 | 5 | 0.833 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 2 | 2 | 114 | 36 | 36 | 34 | 18 | 79 | 25 | 23 | 69 | 8 | 1 | 12.50% | 8 | 1 | 87.50% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 82 | 58 | 67 | 21 | 39 | 20 | 53.8% | 7.0% | 91.1% | 98.2 | Unlucky | |
27 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 55 | 18 | 18 | 17 | 5 | 64 | 23 | 10 | 54 | 4 | 2 | 50.00% | 5 | 1 | 80.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 48 | 34 | 49 | 15 | 27 | 13 | 33.3% | 9.1% | 89.1% | 98.2 | FUN | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 2 | 0 | 0 | 83 | 22 | 32 | 29 | 0 | 58 | 19 | 16 | 42 | 12 | 4 | 33.33% | 8 | 4 | 50.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 55 | 40 | 42 | 13 | 22 | 11 | 50.0% | 6.0% | 91.4% | 97.4 | DULL | |
29 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.500 | 11 | 21 | 32 | 0 | 0 | 5 | 3 | 3 | 0 | 155 | 45 | 43 | 67 | 0 | 102 | 22 | 36 | 69 | 16 | 3 | 18.75% | 15 | 0 | 100.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 108 | 77 | 82 | 28 | 48 | 25 | 53.3% | 7.1% | 93.1% | 100.2 | DULL | |
30 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 12 | 20 | 0 | 0 | 5 | 1 | 1 | 2 | 99 | 37 | 32 | 24 | 8 | 96 | 30 | 14 | 53 | 8 | 1 | 12.50% | 7 | 0 | 100.00% | 0 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 74 | 53 | 73 | 21 | 37 | 18 | 46.7% | 8.1% | 91.7% | 99.7 | DULL | |
31 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 15 | 24 | 0 | 1 | 2 | 4 | 3 | 0 | 91 | 25 | 38 | 28 | 0 | 87 | 23 | 14 | 73 | 11 | 2 | 18.18% | 7 | 1 | 85.71% | 1 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 77 | 54 | 63 | 20 | 39 | 21 | 46.7% | 9.9% | 89.7% | 99.5 | FUN | |
_Vs Division | 18 | 8 | 9 | 0 | 0 | 0 | 1 | 0 | 50 | 47 | 3 | 18 | 0.500 | 50 | 86 | 136 | 0 | 1 | 15 | 16 | 18 | 2 | 567 | 171 | 184 | 206 | 8 | 499 | 143 | 132 | 367 | 61 | 7 | 11.48% | 55 | 5 | 90.91% | 1 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 451 | 316 | 407 | 128 | 226 | 117 | 50.6% | 8.8% | 90.6% | 99.4 | Unlucky | |
_Vs Conference | 37 | 16 | 14 | 0 | 2 | 0 | 3 | 2 | 114 | 102 | 12 | 44 | 0.595 | 114 | 199 | 313 | 1 | 2 | 42 | 38 | 29 | 7 | 1152 | 379 | 360 | 384 | 47 | 1024 | 297 | 249 | 779 | 116 | 21 | 18.10% | 107 | 14 | 86.92% | 1 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 926 | 648 | 848 | 263 | 473 | 246 | 51.4% | 9.9% | 90.0% | 99.9 | FUN | |
_Since Last GM Reset | 69 | 32 | 21 | 0 | 4 | 4 | 4 | 4 | 203 | 176 | 27 | 88 | 0.638 | 203 | 360 | 563 | 1 | 7 | 68 | 70 | 57 | 10 | 2085 | 686 | 668 | 685 | 73 | 1934 | 583 | 503 | 1409 | 219 | 39 | 17.81% | 208 | 30 | 85.58% | 1 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 1720 | 1205 | 1589 | 495 | 884 | 453 | 52.9% | 9.7% | 90.9% | 100.6 | FUN | |
Total | 69 | 32 | 21 | 0 | 4 | 4 | 4 | 4 | 203 | 176 | 27 | 88 | 0.638 | 203 | 360 | 563 | 1 | 7 | 68 | 70 | 57 | 10 | 2085 | 686 | 668 | 685 | 73 | 1934 | 583 | 503 | 1409 | 219 | 39 | 17.81% | 208 | 30 | 85.58% | 1 | 1153 | 2291 | 50.33% | 1131 | 2232 | 50.67% | 541 | 1053 | 51.38% | 1720 | 1205 | 1589 | 495 | 884 | 453 | 52.9% | 9.7% | 90.9% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2291 |
Neutral Zone Start | 1053 |
Defensive Zone Start | 2232 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2825 |
Faceoffs Lost | 2751 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.9 | 9.57 |
2nd Period | 19.6 | 20.31 |
3rd Period | 29.6 | 30.68 |
Overtime | 30.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 162 |
---|---|
PP Goal | 39 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 18 | 22 |
Lost | 11 | 10 |
Overtime Lost | 3 | 5 |
PP Attempt | 219 |
---|---|
PP Goal | 39 |
PK Attempt | 208 |
PK Goal Against | 30 |
Home | |
---|---|
Shots For | 30.2 |
Shots Against | 28.0 |
Goals For | 2.9 |
Goals Against | 2.6 |
Hits | 20.4 |
Shots Blocked | 8.4 |
Pim | 7.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-12 | @ | Kraken0,Ducks3 | RECAP | |||||||||||
2022-10-15 | @ | Ducks3,Islanders4 (OT) | RECAP | |||||||||||
2022-10-17 | @ | Ducks5,Rangers1 | RECAP | |||||||||||
2022-10-18 | @ | Ducks3,Devils2 (OT) | RECAP | |||||||||||
2022-10-20 | @ | Ducks3,Bruins2 | RECAP | |||||||||||
2022-10-23 | @ | Ducks1,Red Wings2 (SO) | RECAP | |||||||||||
2022-10-26 | @ | Lightning3,Ducks5 | RECAP | |||||||||||
2022-10-28 | @ | Ducks3,Golden Knights2 (SO) | RECAP | |||||||||||
2022-10-30 | @ | Maple Leafs4,Ducks3 (SO) | RECAP | |||||||||||
2022-11-01 | @ | Ducks2,Sharks1 | RECAP | |||||||||||
2022-11-03 | @ | Ducks3,Canucks5 | RECAP | |||||||||||
2022-11-05 | @ | Ducks2,Sharks3 | RECAP | |||||||||||
2022-11-06 | @ | Panthers3,Ducks1 | RECAP | |||||||||||
2022-11-09 | @ | Wild1,Ducks2 (OT) | RECAP | |||||||||||
2022-11-12 | @ | Blackhawks4,Ducks0 | RECAP | |||||||||||
2022-11-15 | @ | Red Wings0,Ducks2 | RECAP | |||||||||||
2022-11-17 | @ | Ducks6,Jets3 | RECAP | |||||||||||
2022-11-19 | @ | Ducks2,Blues4 | RECAP | |||||||||||
2022-11-21 | @ | Ducks2,Blues4 | RECAP | |||||||||||
2022-11-23 | @ | Rangers3,Ducks4 | RECAP | |||||||||||
2022-11-25 | @ | Senators3,Ducks2 (OT) | RECAP | |||||||||||
2022-11-27 | @ | Kraken4,Ducks2 | RECAP | |||||||||||
2022-11-29 | @ | Ducks4,Predators3 (SO) | RECAP | |||||||||||
2022-12-01 | @ | Ducks4,Stars3 | RECAP | |||||||||||
2022-12-03 | @ | Ducks7,Wild6 (OT) | RECAP | |||||||||||
2022-12-04 | @ | Ducks1,Jets3 | RECAP | |||||||||||
2022-12-06 | @ | Hurricanes4,Ducks3 (OT) | RECAP | |||||||||||
2022-12-09 | @ | Sharks1,Ducks6 | RECAP | |||||||||||
2022-12-12 | @ | Ducks3,Senators2 (OT) | RECAP | |||||||||||
2022-12-13 | @ | Ducks2,Maple Leafs3 (OT) | RECAP | |||||||||||
2022-12-15 | @ | Ducks6,Canadiens4 | RECAP | |||||||||||
2022-12-17 | @ | Ducks4,Oilers3 | RECAP | |||||||||||
2022-12-20 | @ | Ducks3,Kings1 | RECAP | |||||||||||
2022-12-21 | @ | Wild4,Ducks6 | RECAP | |||||||||||
2022-12-23 | @ | Flames2,Ducks4 | RECAP | |||||||||||
2022-12-28 | @ | Golden Knights5,Ducks3 | RECAP | |||||||||||
2022-12-30 | @ | Predators0,Ducks5 | RECAP | |||||||||||
2023-01-02 | @ | Flyers4,Ducks3 | RECAP | |||||||||||
2023-01-04 | @ | Stars1,Ducks2 (SO) | RECAP | |||||||||||
2023-01-06 | @ | Sharks2,Ducks1 | RECAP | |||||||||||
2023-01-08 | @ | Bruins1,Ducks2 | RECAP | |||||||||||
2023-01-11 | @ | Oilers5,Ducks3 | RECAP | |||||||||||
2023-01-13 | @ | Devils4,Ducks0 | RECAP | |||||||||||
2023-01-16 | @ | Ducks1,Penguins3 | RECAP | |||||||||||
2023-01-17 | @ | Ducks3,Flyers0 | RECAP | |||||||||||
2023-01-19 | @ | Ducks3,Blue Jackets2 (SO) | RECAP | |||||||||||
2023-01-21 | @ | Ducks2,Sabres4 | RECAP | |||||||||||
2023-01-24 | @ | Ducks3,Coyotes4 (SO) | RECAP | |||||||||||
2023-01-26 | @ | Ducks5,Avalanche3 | RECAP | |||||||||||
2023-01-28 | @ | Coyotes3,Ducks1 | RECAP | |||||||||||
2023-02-06 | @ | Ducks2,Stars3 (SO) | RECAP | |||||||||||
2023-02-07 | @ | Ducks4,Blackhawks3 | RECAP | |||||||||||
2023-02-10 | @ | Penguins2,Ducks4 | RECAP | |||||||||||
2023-02-12 | @ | Ducks2,Golden Knights1 | RECAP | |||||||||||
2023-02-15 | @ | Sabres2,Ducks4 | RECAP | |||||||||||
2023-02-17 | @ | Kings2,Ducks1 | RECAP | |||||||||||
2023-02-20 | @ | Ducks3,Panthers2 | RECAP | |||||||||||
2023-02-21 | @ | Ducks2,Lightning0 | RECAP | |||||||||||
2023-02-23 | @ | Ducks2,Capitals4 | RECAP | |||||||||||
2023-02-25 | @ | Ducks3,Hurricanes0 | RECAP | |||||||||||
2023-02-27 | @ | Blackhawks2,Ducks5 | RECAP | |||||||||||
2023-03-01 | @ | Capitals2,Ducks3 | RECAP | |||||||||||
2023-03-03 | @ | Canadiens1,Ducks3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-07 | @ | Ducks4,Kraken5 | RECAP | |||||||||||
2023-03-08 | @ | Ducks1,Canucks3 | RECAP | |||||||||||
2023-03-10 | @ | Ducks3,Flames2 | RECAP | |||||||||||
2023-03-12 | @ | Predators1,Ducks3 | RECAP | |||||||||||
2023-03-15 | @ | Islanders3,Ducks2 | RECAP | |||||||||||
2023-03-17 | @ | Blue Jackets0,Ducks3 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
89,632,143$ | 0$ | 80,968,043$ | -7,132,143$ |
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 | 182508 | 153053 | 61776 | 120421 | 30196 |
Attendance PCT | 95.06% | 95.66% | 96.53% | 94.08% | 94.36% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
9 | 17124 - 95.13% | 1,509,604$ | 48,307,334$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
89,632,143$ | 89,632,143$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
70,292,172$ | 443,159$ | 69,002,750$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
13,586,438$ | 27 | 479,535$ | 12,947,445$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
13,320,485$ | 89,632,143$ | 30,631,795$ | 30,897,748$ |
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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2023 | |||||||
2024 | |||||||
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2026 | |||||||
2027 |
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 |
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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") |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Andre Gasseau | 2021 | 181 | |||
Antti Saarela | 2019 | 125 | |||
Arseni Sergeev | 2021 | 149 | |||
Calle Odelius | 2022 | 32 | |||
Cody Donaghey | 2.5 - 2.0 | ||||
David Spacek | 2022 | 129 | |||
Eetu Liukas | 2021 | 148 | |||
Francesco Arcuri | 2021 | 213 | |||
Grant Slukynsky | 2020 | 190 | |||
Jacob Truscott | 2020 | 183 | |||
Jakub Dobes | |||||
John Adams | 5.5 - 4.0 | ||||
Maxim Barbashev | 2022 | 165 | |||
Maximilian Glotzl | 2020 | 215 | |||
Nikita Chibrikov | 2021 | 21 | |||
Oskar Jellvik | 2021 | 171 | |||
Rody Ross | 2019 | 183 | |||
Ryder Rolston | 2020 | 159 | |||
Stephen Halliday | 2020 | 201 | |||
Ty Murchison | 2021 | 163 |
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